From 8c94c9943545664fbe5bb85f13884568ef9d671f Mon Sep 17 00:00:00 2001 From: stripodi Date: Thu, 27 Nov 2025 15:56:45 +0100 Subject: [PATCH 01/15] feat: metadata sanification --- cwl-workflow/pattern-1.cwl | 104 +++++++++++++++++++---------- cwl-workflow/pattern-10.cwl | 86 +++++++++++++++++++++--- cwl-workflow/pattern-11.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-12.cwl | 79 +++++++++++++++++++++- cwl-workflow/pattern-2.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-3.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-4.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-5.cwl | 86 +++++++++++++++++++++--- cwl-workflow/pattern-6.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-7.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-8.cwl | 85 ++++++++++++++++++++--- cwl-workflow/pattern-9.cwl | 86 +++++++++++++++++++++--- cwl-workflow/test-custom-types.cwl | 76 ++++++++++++++++++++- cwl-workflow/test-primitives.cwl | 78 ++++++++++++++++++++-- 14 files changed, 1041 insertions(+), 149 deletions(-) diff --git a/cwl-workflow/pattern-1.cwl b/cwl-workflow/pattern-1.cwl index ecf7795..543adb6 100644 --- a/cwl-workflow/pattern-1.cwl +++ b/cwl-workflow/pattern-1.cwl @@ -1,56 +1,88 @@ cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf - -s:softwareVersion: 1.0.0 - -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: delineation - - s:@type: s:PropertyValue - s:name: domain - s:value: hydrology +s:name: Water bodies detection based on NDWI and the otsu threshold +s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 -s:thumbnail: - s:@type: s:ImageObject - s:contentUrl: "https://s3.waw3-2.cloudferro.com/swift/v1/stac-png/S2_L2A.jpg" - s:caption: "Water bodies detected based on the NDWI and otsu threshold" - s:encodingFormat: "image/jpeg" - s:height: "360" - s:width: "640" +s:keywords: +- CWL +- Workflow +- Earth Observation +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ -s:license: - s:@type: s:CreativeWork - s:name: "License CC BY 4.0" - s:url: "https://creativecommons.org/licenses/by/4.0/" - s:encodingFormat: "text/html" +s:softwareVersion: 1.0.0 +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ -s:documentation: - - s:@type: s:CreativeWork - s:name: "User Manual" - s:url: "https://eoap.github.io/application-package-patterns/" - s:encodingFormat: "text/html" +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 s:author: - s:@type: s:Person - s:name: "John Doe" +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 s:affiliation: - s:@type: s:Organization - s:name: "Make EO Great Again Platform" - s:email: "john.doe@meogap.org" - + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-1 label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition requirements: [] + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-10.cwl b/cwl-workflow/pattern-10.cwl index afbd796..73663fd 100644 --- a/cwl-workflow/pattern-10.cwl +++ b/cwl-workflow/pattern-10.cwl @@ -6,21 +6,83 @@ # This scenario takes as input an array of acquisition, applies an algorithm to each of them. - cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: NDVI and NDWI vegetation indexes +s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: vegetation-index - - s:@type: s:PropertyValue - s:name: domain - s:value: agriculture -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-10 @@ -29,6 +91,8 @@ $graph: requirements: SubworkflowFeatureRequirement: {} ScatterFeatureRequirement: {} + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-11.cwl b/cwl-workflow/pattern-11.cwl index 221a16f..27ceeef 100644 --- a/cwl-workflow/pattern-11.cwl +++ b/cwl-workflow/pattern-11.cwl @@ -1,23 +1,88 @@ cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: Water bodies detection based on NDWI and the otsu threshold (with DEM) +s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: delineation - - s:@type: s:PropertyValue - s:name: domain - s:value: hydrology -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-11 label: Water bodies detection based on NDWI and the otsu threshold (with DEM) doc: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition requirements: [] + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-12.cwl b/cwl-workflow/pattern-12.cwl index c3d637f..51192c8 100644 --- a/cwl-workflow/pattern-12.cwl +++ b/cwl-workflow/pattern-12.cwl @@ -1,9 +1,80 @@ -cwlVersion: v1.2 +cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: Water body detection based on NDWI and the otsu threshold +s:description: Water bodies detection based on NDWI and otsu threshold applied to Sentinel-2 or Landsat-9 staged acquisitions. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-12 @@ -15,6 +86,8 @@ $graph: types: - $import: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-2.cwl b/cwl-workflow/pattern-2.cwl index cd1f693..b3ff865 100644 --- a/cwl-workflow/pattern-2.cwl +++ b/cwl-workflow/pattern-2.cwl @@ -1,23 +1,88 @@ cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: Water bodies detection based on NDWI and the otsu threshold +s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: delineation - - s:@type: s:PropertyValue - s:name: domain - s:value: hydrology -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-2 label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a pair of Landsat-8/9 acquisitions requirements: [] + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-3.cwl b/cwl-workflow/pattern-3.cwl index 0fc158e..3f11f4d 100644 --- a/cwl-workflow/pattern-3.cwl +++ b/cwl-workflow/pattern-3.cwl @@ -1,17 +1,80 @@ cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: Water bodies detection based on NDWI and the otsu threshold +s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: delineation - - s:@type: s:PropertyValue - s:name: domain - s:value: hydrology -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-3 @@ -19,6 +82,8 @@ $graph: doc: Water bodies detection based on NDWI and otsu threshold applied to a set of Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-4.cwl b/cwl-workflow/pattern-4.cwl index 23c5e01..0aa2e0d 100644 --- a/cwl-workflow/pattern-4.cwl +++ b/cwl-workflow/pattern-4.cwl @@ -1,23 +1,88 @@ cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: NDVI and NDWI vegetation indexes +s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: vegetation-index - - s:@type: s:PropertyValue - s:name: domain - s:value: agriculture -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-4 label: NDVI and NDWI vegetation indexes doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: [] + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-5.cwl b/cwl-workflow/pattern-5.cwl index 5261369..7fef2bc 100644 --- a/cwl-workflow/pattern-5.cwl +++ b/cwl-workflow/pattern-5.cwl @@ -8,21 +8,83 @@ # Implementation: process the NDVI and NDWI taking as input a Landsat-9 acquisition and generating a stack of STAC Catalogs - cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: NDVI and NDWI vegetation indexes +s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: vegetation-index - - s:@type: s:PropertyValue - s:name: domain - s:value: agriculture -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-5 @@ -30,6 +92,8 @@ $graph: doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-6.cwl b/cwl-workflow/pattern-6.cwl index 823295c..958a1a9 100644 --- a/cwl-workflow/pattern-6.cwl +++ b/cwl-workflow/pattern-6.cwl @@ -9,19 +9,82 @@ # Implementation: derive the NDVI mean taking as input a Landsat-9 acquisition cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: NDVI mean +s:description: NDVI mean from Landsat-8/9 acquisitions. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: vegetation-index - - s:@type: s:PropertyValue - s:name: domain - s:value: agriculture -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-6 @@ -29,6 +92,8 @@ $graph: doc: NDVI mean from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-7.cwl b/cwl-workflow/pattern-7.cwl index 40b0b97..7217242 100644 --- a/cwl-workflow/pattern-7.cwl +++ b/cwl-workflow/pattern-7.cwl @@ -1,23 +1,88 @@ cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: Water bodies detection based on NDWI and the otsu threshold +s:description: Water bodies detection based on NDWI and otsu threshold applied to a mandatory Landsat-8/9 acquisition and an optional second acquisition. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: delineation - - s:@type: s:PropertyValue - s:name: domain - s:value: hydrology -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-7 label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a mandatory Landsat-8/9 acquisition and an optional second acquisition requirements: [] + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-8.cwl b/cwl-workflow/pattern-8.cwl index ab42b8a..4e1c706 100644 --- a/cwl-workflow/pattern-8.cwl +++ b/cwl-workflow/pattern-8.cwl @@ -9,25 +9,90 @@ # Implementation: process the NDVI taking as input a Landsat-9 acquisition with a parameter to create or not the output cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: Water bodies detection based on NDWI and the otsu threshold +s:description: Water bodies detection based on NDWI and otsu threshold applied to an Landsat-8/9 acquisition reference. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: delineation - - s:@type: s:PropertyValue - s:name: domain - s:value: hydrology -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-8 label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to an Landsat-8/9 acquisition reference requirements: [] + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-9.cwl b/cwl-workflow/pattern-9.cwl index c8bcd01..fcdb207 100644 --- a/cwl-workflow/pattern-9.cwl +++ b/cwl-workflow/pattern-9.cwl @@ -6,21 +6,83 @@ # This scenario takes as input an acquisition, applies an algorithm and may or may not generate outputs - cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" + +s:name: NDVI and NDWI vegetation indexes +s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ + s:softwareVersion: 1.0.0 -s:applicationCategory: "Earth Observation application package" -s:additionalProperty: - - s:@type: s:PropertyValue - s:name: application-type - s:value: vegetation-index - - s:@type: s:PropertyValue - s:name: domain - s:value: agriculture -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 + $graph: - class: Workflow id: pattern-9 @@ -28,6 +90,8 @@ $graph: doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} + hints: + - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/test-custom-types.cwl b/cwl-workflow/test-custom-types.cwl index f23d2e9..8b2b8d3 100644 --- a/cwl-workflow/test-custom-types.cwl +++ b/cwl-workflow/test-custom-types.cwl @@ -1,11 +1,79 @@ -cwlVersion: v1.2 +cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ + eoap: "http://oeap.github.io/schema" -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf +s:name: Echo custom CWL Types +s:description: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ s:softwareVersion: 1.0.0 +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 $graph: - id: test-custom-types @@ -19,6 +87,8 @@ $graph: - $import: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/geojson.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml + hints: + - eoap:JSONSchemaHint inputs: - id: bbox type: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox diff --git a/cwl-workflow/test-primitives.cwl b/cwl-workflow/test-primitives.cwl index 524b6ad..fb493cb 100644 --- a/cwl-workflow/test-primitives.cwl +++ b/cwl-workflow/test-primitives.cwl @@ -1,11 +1,79 @@ -cwlVersion: v1.2 +cwlVersion: v1.0 +schemas: +- http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - -schemas: - - http://schema.org/version/9.0/schemaorg-current-http.rdf + eoap: "http://oeap.github.io/schema" + +s:name: Echo All CWL Primitive Types +s:description: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. +s:dateCreated: '2025-01-01' +s:license: + '@type': s:CreativeWork + s:identifier: Apache-2.0 + +s:keywords: +- CWL +- Workflow +- Earth Observation + +s:operatingSystem: +- Linux +- macOS +s:softwareRequirements: +- https://cwltool.readthedocs.io/en/latest/ +- https://www.python.org/ s:softwareVersion: 1.0.0 +s:softwareHelp: +- '@type': s:CreativeWork + s:name: User Manual + s:url: tps://eoap.github.io/application-package-patterns/ + +s:publisher: + '@type': s:Organization + s:name: Make Earth Observation Great Again + s:email: info@meoga.com + s:identifier: https://ror.org/9999cx000 + +s:author: +- '@type': s:Role + s:roleName: Project Manager + s:additionalType: http://purl.org/spar/datacite/ProjectManager + s:author: + '@type': s:Person + s:givenName: Lois + s:familyName: Lane + s:email: lois.lane@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 +- '@type': s:Role + s:roleName: Researcher + s:additionalType: http://purl.org/spar/datacite/Researcher + s:author: + '@type': s:Person + s:givenName: Clark + s:familyName: Kent + s:email: clark.kent@dailyplanet.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Daily Planet + s:identifier: https://ror.org/0000cx000 + +s:contributor: +- '@type': s:Person + s:givenName: Lex + s:familyName: Luthor + s:email: lex.luthor@luthorcorp.com + s:identifier: https://orcid.org/0000-9999-0000-9999 + s:affiliation: + '@type': s:Organization + s:name: Luthor Corp + s:identifier: https://ror.org/0000cx000 $graph: - id: test-primitives @@ -13,6 +81,8 @@ $graph: label: Echo All CWL Primitive Types doc: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. requirements: [] + hints: + - eoap:JSONSchemaHint inputs: - id: null_input type: ["null", "string"] From 3b87f2d58e38cdc1e8f795f765e74c0918d61933 Mon Sep 17 00:00:00 2001 From: stripodi Date: Thu, 27 Nov 2025 16:26:15 +0100 Subject: [PATCH 02/15] fix: depndencies APIs update --- docs/helpers.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/docs/helpers.py b/docs/helpers.py index b7ee3bc..309d231 100644 --- a/docs/helpers.py +++ b/docs/helpers.py @@ -5,9 +5,10 @@ from cwltool.executors import NoopJobExecutor from io import StringIO, BytesIO from IPython.display import Markdown, display -from eoap_cwlwrap import _search_workflow, wrap +from eoap_cwlwrap import wrap from eoap_cwlwrap.types import type_to_string from cwl_loader import load_cwl_from_location +from cwl_loader.utils import search_process from PIL import Image from plantuml import deflate_and_encode from urllib.request import urlopen @@ -37,7 +38,7 @@ def _prepare_headers(self, headers: list[str]): def _display_parameters(self, parameters_name): md = self._prepare_headers(["Id", "Type", "Label", "Doc"]) - wf = _search_workflow(workflow_id=self.entrypoint, workflow=self.workflow) + wf = search_process(process_id=self.entrypoint, process=self.workflow) for p in getattr(wf, parameters_name, []): md += f"| `{p.id}` | `{type_to_string(p.type_)}` | {p.label} | {p.doc} |\n" @@ -53,8 +54,8 @@ def display_outputs(self): def display_steps(self): md = self._prepare_headers(["Id", "Runs", "Label", "Doc"]) - for step in _search_workflow( - workflow_id=self.entrypoint, workflow=self.workflow + for step in search_process( + process_id=self.entrypoint, process=self.workflow ).steps: md += f"| `{step.id.replace(f'file:///#{self.entrypoint}/', '')}` | `{step.run}` | {step.label} | {step.doc} |\n" @@ -64,7 +65,7 @@ def display_components_diagram(self): out = StringIO() to_puml( cwl_document=self.workflow, - diagram_type=DiagramType.COMPONENTS, + diagram_type=DiagramType.COMPONENT, output_stream=out, ) From fb45325426851ab20f8c1ca01112e3e714b65f16 Mon Sep 17 00:00:00 2001 From: stripodi Date: Thu, 27 Nov 2025 16:27:30 +0100 Subject: [PATCH 03/15] feat: added Git repo link --- mkdocs.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/mkdocs.yaml b/mkdocs.yaml index ce96657..9374809 100644 --- a/mkdocs.yaml +++ b/mkdocs.yaml @@ -1,4 +1,6 @@ site_name: Application Packages patterns +repo_url: https://github.com/eoap/application-package-patterns/ +repo_name: eoap/application-package-patterns theme: logo: imgs/icon-eoap.png From 5f6d2fe547e2c08d0ed2b7c71c694fed2cca1213 Mon Sep 17 00:00:00 2001 From: stripodi Date: Thu, 27 Nov 2025 17:38:45 +0100 Subject: [PATCH 04/15] fix: temporarly disable the hints, they cause "string indices must be integers, not 'str'" error when executing the wrapped workflows --- cwl-workflow/pattern-1.cwl | 4 ++-- cwl-workflow/pattern-10.cwl | 4 ++-- cwl-workflow/pattern-11.cwl | 4 ++-- cwl-workflow/pattern-12.cwl | 4 ++-- cwl-workflow/pattern-2.cwl | 4 ++-- cwl-workflow/pattern-3.cwl | 4 ++-- cwl-workflow/pattern-4.cwl | 4 ++-- cwl-workflow/pattern-5.cwl | 4 ++-- cwl-workflow/pattern-6.cwl | 4 ++-- cwl-workflow/pattern-7.cwl | 4 ++-- cwl-workflow/pattern-8.cwl | 4 ++-- cwl-workflow/pattern-9.cwl | 4 ++-- cwl-workflow/test-custom-types.cwl | 4 ++-- cwl-workflow/test-primitives.cwl | 4 ++-- docs/pattern-12.ipynb | 8 -------- 15 files changed, 28 insertions(+), 36 deletions(-) diff --git a/cwl-workflow/pattern-1.cwl b/cwl-workflow/pattern-1.cwl index 543adb6..7e0fff9 100644 --- a/cwl-workflow/pattern-1.cwl +++ b/cwl-workflow/pattern-1.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-10.cwl b/cwl-workflow/pattern-10.cwl index 73663fd..30c956e 100644 --- a/cwl-workflow/pattern-10.cwl +++ b/cwl-workflow/pattern-10.cwl @@ -91,8 +91,8 @@ $graph: requirements: SubworkflowFeatureRequirement: {} ScatterFeatureRequirement: {} - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-11.cwl b/cwl-workflow/pattern-11.cwl index 27ceeef..fed67e5 100644 --- a/cwl-workflow/pattern-11.cwl +++ b/cwl-workflow/pattern-11.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold (with DEM) doc: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-12.cwl b/cwl-workflow/pattern-12.cwl index 51192c8..624f309 100644 --- a/cwl-workflow/pattern-12.cwl +++ b/cwl-workflow/pattern-12.cwl @@ -86,8 +86,8 @@ $graph: types: - $import: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml - hints: - - eoap:JSONSchemaHint + # hints: + # - JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-2.cwl b/cwl-workflow/pattern-2.cwl index b3ff865..286d157 100644 --- a/cwl-workflow/pattern-2.cwl +++ b/cwl-workflow/pattern-2.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a pair of Landsat-8/9 acquisitions requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-3.cwl b/cwl-workflow/pattern-3.cwl index 3f11f4d..46e7087 100644 --- a/cwl-workflow/pattern-3.cwl +++ b/cwl-workflow/pattern-3.cwl @@ -82,8 +82,8 @@ $graph: doc: Water bodies detection based on NDWI and otsu threshold applied to a set of Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-4.cwl b/cwl-workflow/pattern-4.cwl index 0aa2e0d..9890eba 100644 --- a/cwl-workflow/pattern-4.cwl +++ b/cwl-workflow/pattern-4.cwl @@ -81,8 +81,8 @@ $graph: label: NDVI and NDWI vegetation indexes doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-5.cwl b/cwl-workflow/pattern-5.cwl index 7fef2bc..124bb73 100644 --- a/cwl-workflow/pattern-5.cwl +++ b/cwl-workflow/pattern-5.cwl @@ -92,8 +92,8 @@ $graph: doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-6.cwl b/cwl-workflow/pattern-6.cwl index 958a1a9..92efb42 100644 --- a/cwl-workflow/pattern-6.cwl +++ b/cwl-workflow/pattern-6.cwl @@ -92,8 +92,8 @@ $graph: doc: NDVI mean from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-7.cwl b/cwl-workflow/pattern-7.cwl index 7217242..74a9fee 100644 --- a/cwl-workflow/pattern-7.cwl +++ b/cwl-workflow/pattern-7.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a mandatory Landsat-8/9 acquisition and an optional second acquisition requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-8.cwl b/cwl-workflow/pattern-8.cwl index 4e1c706..5613e7d 100644 --- a/cwl-workflow/pattern-8.cwl +++ b/cwl-workflow/pattern-8.cwl @@ -91,8 +91,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to an Landsat-8/9 acquisition reference requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-9.cwl b/cwl-workflow/pattern-9.cwl index fcdb207..d345412 100644 --- a/cwl-workflow/pattern-9.cwl +++ b/cwl-workflow/pattern-9.cwl @@ -90,8 +90,8 @@ $graph: doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/test-custom-types.cwl b/cwl-workflow/test-custom-types.cwl index 8b2b8d3..1541ff9 100644 --- a/cwl-workflow/test-custom-types.cwl +++ b/cwl-workflow/test-custom-types.cwl @@ -87,8 +87,8 @@ $graph: - $import: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/geojson.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: - id: bbox type: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox diff --git a/cwl-workflow/test-primitives.cwl b/cwl-workflow/test-primitives.cwl index fb493cb..a7face5 100644 --- a/cwl-workflow/test-primitives.cwl +++ b/cwl-workflow/test-primitives.cwl @@ -81,8 +81,8 @@ $graph: label: Echo All CWL Primitive Types doc: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. requirements: [] - hints: - - eoap:JSONSchemaHint + # hints: + # - eoap:JSONSchemaHint inputs: - id: null_input type: ["null", "string"] diff --git a/docs/pattern-12.ipynb b/docs/pattern-12.ipynb index bd0d096..7935c0e 100644 --- a/docs/pattern-12.ipynb +++ b/docs/pattern-12.ipynb @@ -892,14 +892,6 @@ "\n", "display(Markdown(md))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d3f04a90", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 94eba258646d197b2ca47ca4da536c4d6b8c5817 Mon Sep 17 00:00:00 2001 From: stripodi Date: Thu, 27 Nov 2025 18:01:02 +0100 Subject: [PATCH 05/15] feat: license update --- mkdocs.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mkdocs.yaml b/mkdocs.yaml index 9374809..ec6f4f8 100644 --- a/mkdocs.yaml +++ b/mkdocs.yaml @@ -72,4 +72,4 @@ nav: - Pattern 11: pattern-11.ipynb - Pattern 12: pattern-12.ipynb -copyright: License CC BY-SA 4.0, by Creative Commons \ No newline at end of file +copyright: Apache License, Version 2.0 From 64d2b730555e06a850471ded897487f21164b43d Mon Sep 17 00:00:00 2001 From: stripodi Date: Mon, 1 Dec 2025 17:21:56 +0100 Subject: [PATCH 06/15] feat: re-enabled the assertions, Notebooks print errors (if any) --- cwl-workflow/pattern-1.cwl | 4 +- cwl-workflow/pattern-10.cwl | 4 +- cwl-workflow/pattern-11.cwl | 4 +- cwl-workflow/pattern-12.cwl | 4 +- cwl-workflow/pattern-2.cwl | 4 +- cwl-workflow/pattern-3.cwl | 4 +- cwl-workflow/pattern-4.cwl | 4 +- cwl-workflow/pattern-5.cwl | 4 +- cwl-workflow/pattern-6.cwl | 4 +- cwl-workflow/pattern-7.cwl | 4 +- cwl-workflow/pattern-8.cwl | 4 +- cwl-workflow/pattern-9.cwl | 4 +- cwl-workflow/test-custom-types.cwl | 4 +- cwl-workflow/test-primitives.cwl | 4 +- docs/pattern-1.ipynb | 223 +++++----- docs/pattern-10.ipynb | 20 +- docs/pattern-11.ipynb | 20 +- docs/pattern-12.ipynb | 638 +++-------------------------- docs/pattern-2.ipynb | 20 +- docs/pattern-3.ipynb | 20 +- docs/pattern-4.ipynb | 28 +- docs/pattern-5.ipynb | 20 +- docs/pattern-6.ipynb | 20 +- docs/pattern-7.ipynb | 20 +- docs/pattern-8.ipynb | 28 +- docs/pattern-9.ipynb | 20 +- 26 files changed, 350 insertions(+), 783 deletions(-) diff --git a/cwl-workflow/pattern-1.cwl b/cwl-workflow/pattern-1.cwl index 7e0fff9..49f5411 100644 --- a/cwl-workflow/pattern-1.cwl +++ b/cwl-workflow/pattern-1.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-10.cwl b/cwl-workflow/pattern-10.cwl index 30c956e..3220ca2 100644 --- a/cwl-workflow/pattern-10.cwl +++ b/cwl-workflow/pattern-10.cwl @@ -91,8 +91,8 @@ $graph: requirements: SubworkflowFeatureRequirement: {} ScatterFeatureRequirement: {} - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-11.cwl b/cwl-workflow/pattern-11.cwl index fed67e5..da303d4 100644 --- a/cwl-workflow/pattern-11.cwl +++ b/cwl-workflow/pattern-11.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold (with DEM) doc: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-12.cwl b/cwl-workflow/pattern-12.cwl index 624f309..1032f44 100644 --- a/cwl-workflow/pattern-12.cwl +++ b/cwl-workflow/pattern-12.cwl @@ -86,8 +86,8 @@ $graph: types: - $import: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml - # hints: - # - JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-2.cwl b/cwl-workflow/pattern-2.cwl index 286d157..60c48e4 100644 --- a/cwl-workflow/pattern-2.cwl +++ b/cwl-workflow/pattern-2.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a pair of Landsat-8/9 acquisitions requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-3.cwl b/cwl-workflow/pattern-3.cwl index 46e7087..09384c9 100644 --- a/cwl-workflow/pattern-3.cwl +++ b/cwl-workflow/pattern-3.cwl @@ -82,8 +82,8 @@ $graph: doc: Water bodies detection based on NDWI and otsu threshold applied to a set of Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-4.cwl b/cwl-workflow/pattern-4.cwl index 9890eba..71f9c2e 100644 --- a/cwl-workflow/pattern-4.cwl +++ b/cwl-workflow/pattern-4.cwl @@ -81,8 +81,8 @@ $graph: label: NDVI and NDWI vegetation indexes doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-5.cwl b/cwl-workflow/pattern-5.cwl index 124bb73..339e19a 100644 --- a/cwl-workflow/pattern-5.cwl +++ b/cwl-workflow/pattern-5.cwl @@ -92,8 +92,8 @@ $graph: doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-6.cwl b/cwl-workflow/pattern-6.cwl index 92efb42..5990d53 100644 --- a/cwl-workflow/pattern-6.cwl +++ b/cwl-workflow/pattern-6.cwl @@ -92,8 +92,8 @@ $graph: doc: NDVI mean from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-7.cwl b/cwl-workflow/pattern-7.cwl index 74a9fee..aff1621 100644 --- a/cwl-workflow/pattern-7.cwl +++ b/cwl-workflow/pattern-7.cwl @@ -81,8 +81,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to a mandatory Landsat-8/9 acquisition and an optional second acquisition requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-8.cwl b/cwl-workflow/pattern-8.cwl index 5613e7d..572e179 100644 --- a/cwl-workflow/pattern-8.cwl +++ b/cwl-workflow/pattern-8.cwl @@ -91,8 +91,8 @@ $graph: label: Water bodies detection based on NDWI and the otsu threshold doc: Water bodies detection based on NDWI and otsu threshold applied to an Landsat-8/9 acquisition reference requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/pattern-9.cwl b/cwl-workflow/pattern-9.cwl index d345412..387e5eb 100644 --- a/cwl-workflow/pattern-9.cwl +++ b/cwl-workflow/pattern-9.cwl @@ -90,8 +90,8 @@ $graph: doc: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions requirements: ScatterFeatureRequirement: {} - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: aoi: label: area of interest diff --git a/cwl-workflow/test-custom-types.cwl b/cwl-workflow/test-custom-types.cwl index 1541ff9..8e3c073 100644 --- a/cwl-workflow/test-custom-types.cwl +++ b/cwl-workflow/test-custom-types.cwl @@ -87,8 +87,8 @@ $graph: - $import: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/geojson.yaml - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: - id: bbox type: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox diff --git a/cwl-workflow/test-primitives.cwl b/cwl-workflow/test-primitives.cwl index a7face5..174a003 100644 --- a/cwl-workflow/test-primitives.cwl +++ b/cwl-workflow/test-primitives.cwl @@ -81,8 +81,8 @@ $graph: label: Echo All CWL Primitive Types doc: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. requirements: [] - # hints: - # - eoap:JSONSchemaHint + hints: + - class: eoap:JSONSchemaHint inputs: - id: null_input type: ["null", "string"] diff --git a/docs/pattern-1.ipynb b/docs/pattern-1.ipynb index 7996d7f..f3be9d4 100644 --- a/docs/pattern-1.ipynb +++ b/docs/pattern-1.ipynb @@ -2,19 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 20, + "execution_count": 1, "id": "49711fee", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], + "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -51,16 +42,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:10:03.409\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-1.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:03.410\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-1.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:03.445\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:03.446\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:03.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:03.467\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! 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Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.716\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.717\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.718\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.718\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.904\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.914\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.915\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:06.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.879\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.880\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.881\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.881\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.882\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.882\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.883\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.883\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.883\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.884\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.884\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.885\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-1 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.885\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-1/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.886\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-1/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.886\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-1/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.887\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-1/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.887\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.888\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.888\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.889\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.889\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-1 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.890\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-1/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.890\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.891\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.891\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.892\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:10:07.893\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0089 seconds\u001b[0m\n" + "\u001b[32m2025-12-01 17:14:07.758\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:08.343\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:08.346\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:08.347\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:08.348\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:08.348\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.808\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.808\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.809\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.809\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.809\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:11.299\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:11.302\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:11.303\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:11.303\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:11.303\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.956\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.958\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.958\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.958\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:14.960\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:15.520\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:15.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:15.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:15.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:15.527\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.749\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.749\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.749\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.750\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.753\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-1 inputs...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.753\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.753\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-1 outputs...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-1/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.756\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.756\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-01 17:14:18.756\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0041 seconds\u001b[0m\n" ] } ], @@ -588,7 +600,7 @@ "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -618,9 +630,9 @@ "outputs": [ { "data": { - "image/png": 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7QLvovrnagm/aHoW13Slr9ShI7aux0YuDMB1L52Fo22p6X+3Mq0dl0M7QhngfRnGjCNu9+vj1Qp8tvwrK1aL5eXe/wB4ad661B4Afr9ET1GLvg9VYLO96xr+Ln8X24f6peagyjKSutcUOt4YP3Dtzc9af6NRTje/2E0sdCAUQBTDCpVd0Y+rW6iFoTG3AvdYgVPvUpn00+gzaF8UgSX0Uxlo439q4dkWJausC7POhwXQGuqgAfMQHh7kwgH4BUi7YiZMMkAEyQAZkMjClc2g+dK5+Ivuv3qrnDnXdfMe33Qn+iehX2XSva9VdqA9jt4Pt+mHbHrB8z2EwY9c5dGusmmcOnQ9z0X63M0TQ7nUumykTOocdsj4o7RELK9QKcxfIvv97F/2WrMfaodu5HgWpXTY2enEdrGL3UR1XsQzj6/huNb2vdqbe5GmXo/c+ipsm6O7VZ0YvpD2qTyst1PMOPXTleOemca09APxoDRDUYu+D3ZlZ3voZv5Xqv97X14+dUR9JPbBoi03j1e+t/c4csxTRo+jUd4gfmk++7V4KoFEAWq/eBys6MDXGaq0eghbagPXAIHTgsztldlYw7lzuPDdvzWsXxSBJfRTGWjjf+rias3aUAD3swXQGuqgMLN36/D8vBtAvQMorAqIlA2SADJABaQxM6Ry21Uu9vW42/7frn/q/5ie17U7wbyy3K/XBiC/10ZjG+mf1UP8o+Xf1XN+tPn7umy8vjF+Ysesc6s3lb/1SNfucnQ9jUb3bqe+vfrfa2cPqV33DVG+NXOA6a+21D6r3qBfWmLV353vvAlsyjbVDp12bQWp/DYfaog+21rEM4+v47jTaVztTb/K0y8G7juLlW/3MXiVQv3T8/UJ16/GjgfJ58ahyrHNoItDz1bt2raEC/M5IrwGCWl99sANfIxEzLqsntZevPrBcZwqLHe7dW497h06D1JDG0andd/NlAP1qkqELQOt271jRhUmv1VO3w9QG3AMblix8GvA/euP9UfRmiMJcqz/fmrh0UaLaush0PgCm1fRF1YczIoTDXBhAvwApF+zESQbIABkgAzIZmNI5qI38cvHcfAr+96q6aH4w7dqcb+/U8Qu1Ibu+u7yorrf110W1rDbbenu7uHjYWH6Ojxm6c/i5rC6u208r7XwYi+rdTv19tWi/ANHQ+ruuFpt2SruCo63pEqCR9UH1HvXCGnNnv+//npfeh8baodNqM0jt0ewcdsH2sQzj6/juNNpX67vf5GmfeNdRXFVVpb9E3Bzt4+9J226qi+qm3VZ+XTzUegGDYfhVknbde+h97sz6cU9Qi13TYTgbDfoZD02DetU8tdLL7Sx7ix3u3VuPe2c+mtWsbUSnNtT4fnRHsC6AEaS+UmoXJr1WT92AUvU0Qp8Uw5SOo6h1NDvj/VHAZx9FS26v78+3psh0Ubo6BwRoFlUPfEwIx5kwgH4BUibQCZMMkAEyQAaEMjCpc6i3X9sd/p9esge0/fppDqgtyHfz6Wr1E+Ov3/Zd/ad+X47ltZsxOLKbOfShlx9YGeJ3u6qhcg92/hGUNt0dGGLWh+zvf12ouTasf4McOUSw9aFYDvraud4x/9tlZLCeDrNfaGRyeAGd1N6Dzna3CoKxEDQAYhNtM/RynT0sdrg1fI17Z27O6tfSVt23M3p1K2hmTO2g/HHA9K5HvXONqZ3QazF94FOb7t618f4o1Pyu5NvvrRh++1MB55u9KDELlELXSHoRU8tRLgygX4CUC3biJANkgAyQAZkMTOscvLGrvaPx+nz9+ry9sO2pDTNjMPZhHCxtUFSwOQTz/br7ZnjWleSKIuR8y5oIgrcxgH4Bks2OOjJABsgAGSADUxlI1DlsnkwAX9er1aZ7CGEe2DMa+/hj+rPpXv0PWf9YSFTYUR8M9shQ7Kse6XQ0vV8jRTC989Gi+4fuWZerVzXVfXy/3+6o/2z/Gc1K7lldFH+x7jvf3N7++qEmawbQL0DKOiCCJwNkgAyQgZMzkKhzmCWu7Vv38nuUMQu0PYucBvUcqyZdI8z5oVmHju/JozrkP9t/RoMgbJYLe1xvrlWoF8AA+gVIAmARAhkgA2SADGTMQM6dQ8a0EzoZIANkIDED6BcgJV6S7skAGSADZKBwBtg5FJ5ghkcGyMCZMoB+AdKZUsGwyQAZIANkIBID7BwiEUk3ZIAMkAFRDKBfgCQKIMGQATJABshAdgywc8guZQRMBsgAGZjAAPoFSBOm0YQMkAEyQAbIgJMBdg5OaniADJABMpAxA+gXIGUcDqGTATJABsiAAAbYOQhIAiGQATJABqIzgH4BUvRF6JAMkAEyQAbOigF2DmeVbgZLBsjA2TCAfgHS2QTPQMkAGSADZCAJA+wcktBKp2SADJCBEzOAfgHSiSFxeTJABsgAGcicAXYOmSeQ8MkAGSADVgbQL0CyGlJJBsgAGSADZGAiA+wcJhJFMzJABshAVgygX4CUVQAESwbIABkgA+IYmNo5bD+Gr+2hODzN97uL6sxYKp1nY5k62jpxHMXxYobYjFL5/buSRXPSxS14LKqTQzw5AAspVKVjAP0CpHSr0TMZIANkgAycAwNTO4eP5fD1cYgaT/P97qI6M5ZK59lYpo62ThxHcbyYITajVH7/rmTRnHRxCx6L6uQQTw7AQgpV6RhAvwAp3Wr0TAbIABkgA+fAwPTO4eVdv16WEzoHL/P9TH8sIzozlkrn2VhGbakjRRDHURwvZojNKJXfvytZNCdd3ILHojo5xJMDsJBCVToG0C9ASrcaPZMBMkAGyMA5MDC9c3jf6tf7lM7By3w/0x/LiM6MpdJ5NpZRW+pIEcRxFMeLGWIzSuX370oWzUkXt+CxqE4O8eQALKRQlY4B9AuQ0q1Gz2SADJABMnAODLBz8OiHggsi2o4tjqM4Xv6ykcrv35UsmpMubsFjUZ0c4skBWEihKh0D6BcgpVuNnskAGSADZOAcGGDnwM4hWp2fdGN60sWnUXhyiCcHMI0nWkViAP0CpEiu6YYMkAEyQAbOlAF2DuwcopX+STemJ118GoUnh3hyANN4olUkBtAvQIrkmm7IABkgA2TgTBnY2zl8Xg9+odLwk/oDtUv0NHe56fRRnRlLpfNsLGN8z8E84jmKAziOl7/QU/n9u5JFc9LFLXgsqpNDtAO4/qyfO7TP3XWQo6VAJrzvUegXIHk74QQyQAbIABkgAwMG9nYO12+9pedPKz3N+2WsQlRnxgoWz0lusZZ1DByTB3EcxfHyF3Qqv39Xsmh8Fk+SZAumkcoH4mBqPLQuAG/Xg+UoFsMAKgdSMcExEDJABsgAGTgJA3s7h8HtxrXncID2NHd42amjOjOWsngexGyYHjWwrBPmL46jOF7+RpDK79+VLBqfxZMk2YJppPKBOJgaD60TQLwlBrgpnpoBpBXSqTFxfTJABsgAGcibAXYOo+85JLnFOndsvsUTx1EcL3+xp/L7dyWLxmfxJEm2YBqpfCAOpsZD6wQQb4kBboqnZgBphXRqTFyfDJABMkAG8maAnQM7h2gV7NyYRlthjyOfxU+0j/KBOIg0HlongHhLDHBTPDUDSCukU2Pi+mSADJABMpA3A9M7B6+/ghz1j9V+LDf6z1e/T/j71R4JscBMcouNFoEFsEe42rT1ct9xGpPQIbrN4T8XqOHEeR8ufiioJEk+HIYPxIG3eGhNALtvcDcrxVtigJviqRlAWiGdGhPXJwNkgAyQgbwZmN45DH9TzMehoD+G1sfuIaM6M5BbPCe5xVrWMXBMHsRxFMfLX9Cp/P5dyaLxWTxJki2YRiofiIOp8dDaALTe4y0xwE3x1AwgrZBOjYnrkwEyQAbIQN4MTO0cth/ta9m9bQ8F7Wm+3932Y7dsu/jBtfc7M47uYHZBfbSed7+M0TA7ehAtgji8tl56TuMROqRz2dF5NHWTHQwX/ziweJIkH0bqA3HgLR5aBaBt6YdnMTuHAdVCxdAKQL8ASWiIhEUGyAAZIAOZMDC1c9iF43kD8jR3chbLj3OB5AfiRhDDWwwfe2hL7H7Pyjy0j4Gl+mSSkZt2YGj2TeexUzAQmh7Mg3QK/FyTDJABMkAGymGAncM8uYx7547hLYaPPdwldr9nZR7ax0D7zGFo0CaK2RpSIk4OTQ/mQRIXHAGRATJABshAVgywc5gnXXHv3DG8xfCxh7vE7veszEP7GRhlph2OdPsd8OjcDISmB/MgzY2d65EBMkAGyEBZDLBzmCefce/cMbzF8LGHu8Tu96zMQ/sY4DOHfewIPRZ6MmEeJKEhEhYZIANkgAxkwkAenUPoNwTlJCFuBDH2AXER/WE6sfs/61ExjQF+z2EaT6KsQs93zIMkKjCCIQNkgAyQgewY8OwcPPeDnubZsXcqwOT1VMxnvy6fOWSYwtB9P+ZByjB8QiYDZIAMkAFBDHh2DoKQJ4LCTXkiYiW5zSvJkdGONpHtcKSTlCtiqevQCkBaIZFPMkAGyAAZIAPHMMDOYcQeb7EtIY+3ryNiShrmleTIaNunDoP/msRGXqKkWsk5FqQVUs7xEDsZIANkgAycngF2DqMc8BbbErKubkfElDTMK8kzoJ1hiZLqJ5dYkFZIuWAnTjJABsgAGZDJADuHUV54i20JefvvY0RMScO8kjwD2hmWKKl+cokFaYWUC3biJANkgAyQAZkMsHMY5eXMbrEPm5f/rq7e6qfLG9UqvG6u1lePv4oSpW//e7u+fBoxVMAwryTPgHaGJQoom+xCQFohZRcEAZMBMkAGyIAoBvLoHEK/IRhAdaJb7IwRTAy6Q7SqLir1ulb/Fj/19WK9rqpL5aH9tNK6WjYHg7AHTZoI/WizREk+GpfdwQxoZ1jCHhu1KRlAWiGlXI++yQAZIANkoHwGPDsHz/2gp7mT7hnve4mWius2Bq8dolW1+Pyqqouvj6p6rT9VBt6qSr3tOofq/XddXTnzsudA3ID3LBRySDS4PwHNgHaGJf6ERUVyBpBWSMkX5QJkgAyQATJQNAOenYPnDcjT3Ml0LD/OBXAgxqYc3nopbgQxvHU+VtVNXV80X4euqqf6c7NaqmcQ//rO4bqu76pVH4WHEAOix3J+pomS7AdisvUMaEVnazJRxRqGVgDSCqlYkhgYGSADZIAMzMIAO4dZaI78ay9j7AM6H6umabioHtrO4WdRre/vquq/vnNQB++qoNWCJs2TC67yhwFm6w8lkhSh6cE8SJLiIhYyQAbIABnIjwF2DvPkLO6dO4a3zofROfyrqp/m00rsHOYpCjmrxCgoOdEUhyQ0PZgHqThyGBAZIANkgAzMygA7h3nojnvnjuGt82F0Duq7Dpsn9aVodg7zFIWcVWIUlJxoikMSmh7Mg1QcOQyIDJABMkAGZmWAncM8dMe9c8fw1vkwOof6Qf2GpRd2DvOUhKRVYhSUpHgKwxKaHsyDVBg1DIcMkAEyQAZmZiCPziH0G4Izk7lnubgRxNgHWBH9fm33BOFzyOrexwFtZ2QgRkHNCPfclgpND+ZBOjfuGC8ZIANkgAzEZcCzc/DcD3qaxw2tYG/kteDkniI0bixPwfrkNUPTg3mQJi9KQzJABsgAGSADFgY8OweLh8JU3JQXllBbOHkleQa03FjaykSMLrQCkFZIYoIiEDJABsgAGciSAXYOo7TxFjsipMRhXkmeAe0MS5RYR9JjQlohScdMfGSADJABMiCbAXYOo/zwFjsipMRhXkmeAe0MS5RYR9JjQlohScdMfGSADJABMiCbAXYOo/zwFjsipMRhXkmeAe0MS5RYR9JjQlohScdMfGSADJABMiCbAXYOo/zwFjsiJHT4vGxfu49oc7QMZqIryTQM7rLLqg8tc9HzkFZIogETHBkgA2SADIhnII/OIfQbggH0J7rFzhjBxKDlIZoIPIJZoiRHQGZzkRCtdq3fbctTly0DSCukbIMh8CQMxPo13EnA0SkZIAMiGfDsHDy3m57mToZmvO8lWiqu2xi8xkXkTJ3IA3nFnhCtdq3fRWaLoEIZQFohOXx9rLpnhPz/3Bhg6+A4JagmA2TAxYBn53DwBmSu42luTh6MYvkZuHSJMTblFt9xI4jhLYYPS6BZqBIlOVHsCdHqItDviSKg2+MYCK0ApBWSHcnH+sN+gNqiGfhYH6qMosNncGSADAQxwM4hiDbvSXGvzzG8xfDhTQMnyGJAF4F+l4WOaHYMhKYH8yBZSWXjYKWleKXK+4HKKJ4CBkgGyIA/A+wc/DkLmRH3+hzDWwwfIUxwjiAGdBHod0HQCAUMhKYH8yDBKyQ2DuDinKQm7/sr45zYYKxkgAxMZYCdw1SmjrOLe32O4S2Gj+M44eyTM6A/BsNiOHkq9gEITQ/mQbKsw8bBQsoZqNq8762MMyCBIZIBMuDPADsHf85CZsS9PsfwFsNHCBOcI5ABFoPApABSaHowDxK8aomNg2bivN67vO+rjPPig9GSATIwlYE8Ogf9o9GpUcmzixtBjKt9XETyGCciDwZiFJTHcjT1YyA0PZgH6c/KbBz+UHIWil3e91TGWdDAIMkAGfBnwLNz8Nxuepr7wz/TGeT1TBOfKmxuH1IxG8VvaHowD9IYEBuHMSPnMdZ5d1fGefDAKMkAGfBnwLNz8F8gtxnclOeWsQC8eSV5BrTcPgRU0XxTQisAaYU0Qq03kCM1h4Uz0OfdWRmFE8DwyAAZCGeAncOIO15IR4SUOMwryTOgnWGJEutIekxIKyQTc7+BNNUcFc4A8u6qjMIJYHhkgAwcwQA7hxF5vJCOCClxmFeSZ0A7wxIl1pH0mJBWSCbmc/uDyYx3x0D/h/9clWHWCUdkgAyQATDAzgFctBIvpCNCShzmleSEaPXHYBIuUWL95BIT0grJxO7Sm1YclcYA8g6ptBgZDxkgA6kYYOcwYpYX0hEhJQ7zSnJCtNq1fi8x2WccE9IKyaTDpTetOCqNAeQdUmkxMh4yQAZSMZBH56B/NJqKhYHfRBfSyBE8d8+cd16DRmpu0DzFVfbzVJKzjyFKHppqz5aJwVlL0coALmaQTEOX3rTiqDQGkHdIpcXIeMgAGUjFgGfn4LkB9jR3Bjnj1S3RUoncOhk7fEAeosOYY1nkFXtCtNq1fo9F8Bx+csQ8By+DNUARpMFhJbr0phVHpTGAvEMqLUbGQwbIQCoGPDsHz8uMp7kzyFh+nAvgQKxmBx5bacYIRiu7hvIQuZDG1ydKcnygrceEaHUR6PdEESRxmyPmQCJCKwAUQTIhuPSm1de///pv1JpHfEavtw91/f351c15vH21Tv7Urx/LYUz6/rQcnqSCD5u5cRQDSLZJ/jq3v5Yl9+EpS03gBnmHNMU1bcgAGSADdc3OYZ4qkHd9lodonkxwlQEDugj0++CQeDFHzIGkhoaKeZBMCC790OpjXanXxftQFyLfVau6vq4uurnr6tbqZNEs1ryeLIcxabOwHD6gelrfKAv4sJkbRzGAZJvU67oV+qFbcPtrWXIfVi4PLjKBG+Qdkhstj5ABMkAGhgywcxiykU6Wd32Whygd+/TsYEAXgX53mIlU54g5kMjQUDEPkgnBpR9Yfahd/M3DZvE60AWJZufw5niMcX15uayqy8vL/yyLYEc9YXf8Z34L4EDnYMDCcob6j+Ne0a3QD92C21/rwn1YuTy4yARukHdIbrQ8QgbIABkYMsDOYchGOlne9VkeonTs07ODAf0xmByLQWN3hFaSOjQ9mAfJ5MWlH1hdVlXzuGH7Xddvm/XlvXqvHzYv/11dvdVPlzfqY0zmqH7dXK2vHn9b/dv1Zfvs4Ony6l+74+2fOahJhoXy3U5qvFdV+1Glfrl+YWzlm92xue7zplmp+18JgPF1d3l5/fBbP6yqxWajnqDcalT9AsrTTtfC0jNgOkb7dHn973WjPn3VvXYTditgaUWQthvEp+aM/XVuepb04X9X6ilJP/P99vLy9ksv0pPSOFOGiJ+dwy4tfCMDZCANA+wc0vA69jrhDj2ekngsD1HigOnezQCLwc2NgCOh6cE8SGY4Lj2svqtqsxs9VZX6LNGF+qLCqrpoPlB0rf4tfkaj+nqxVp9vumw+F6SeHlSVavHum/fl308rweKpqlYX1Ur1G33noFS75XoJncPr/RjFv7bfWFSqIWlfGsbvRbVcL6ovBad5vRpr7haArllhMEMH0C4MK8TTLqUn7FYAA7BTIfTxqTkjfx1iWO8Or9Skup/5rNAvqv/0Ikrfo28MEX/DzYEX8g7pwBQeJgNkgAzsGMijc8j/x4vyIpCHiCflyRjg9uFk1E9ZODQ9mAfJXM+lh9V7/42Dn6aH+L6o1I/B1U/vP7+aJkJ9lOl1NKqb7y6/VdVns1V//11XV3U782th6xxg8dTs2B+bhbtnDlgOUrujbkzal4miXqqvRqh1f+utetU9jI9qoUYfv/XvbbX6+dmaqLp4el27pe9nmGprPO1aesJuhX5pxK0kHV87Y9ca7KLvEMNaNxbV49d7P1MJV7/119dukda6R68MEb/mZ8878g5pjzkPkQEyQAYGDHh2Dp7bTU/zAS6KZIAMzMYAtw+zUR2yUGh6MA+Sub5LDyvVOTx2o39VpT6adFctms5BtQ8XzXecmx2xOao/N6uleiTxT+1/r7tP5av9vJp5Y+scdhbK981mc6G6DPXqOgcsB2ncOQxRqB/Or+pb1dw0X8yotj0MtcW+uLpvPnDVfUGgRwW3QNru2fsZvaneyhvxbNR63Vr9hN1XEDQDXdyNHeLrZuw6h52/TjdgaXdYPbfBTOWi+5J6t4iBvjHs42/kQy/kHdKhOTxOBsgAGegY8OwcyqeNzU75Oa7zSvIMaLl9EF31oRWAtEIyA3XpYfWrPpTUjf5rniM0HzxqOgfVNFxU6nP+XecwHP0sqvX9XVX9122376pls/tVM9WP/Me/W6ndITcWyveqebUfjOo6BywHadw5DNetfxfV20Ltrne7+R7G+7X6VI9qZPrOQc3aranj6XF0mPWMkbofdvGgc6j1hG5T3zMAO8RndA47JJ1uwFK7UvsfmOlYUKnoFgEpHea6jx+5c0vIOyS3NY+QATJABoYMsHMYsqFkXkhHhJQ4zCvJM6CdYYkS60h6TEgrJBOzSz+wuqnarw6oP7PQCpfVen/noDbAP82nhgadg/pgk2p+Vns6B+X7Ta25bb8Z3XUOWA5St5nW4Mz+pW0HVBOyewGGUvysq7um6WmO9vt/uIVO78K7Gb1pp+6H6rsfD81nq1Qn1L/aJboV+qVhZ8SnQfT+OicDltoj7X91P1MJj8pwuwtjjF4dUu0Q4u98uv7vaeINz0UR9WSADDgZYOcwogaX1NEBDsthIK8kz4B2hiXKqZ58IkFaIZnoXfqBlfosfbW8XqnvM1xVi7ur5osNe585qB+gb57UN4sHnYOaWd1eNl/3VX/PoX09jvbizd95eHi6u2ifrnSdw2C5fuFuM63BjTsHtZnWn6xSX2zQML6W989P7TcoXtT3tq/UDn/3k/7BAtA1Uj/DVA/6i42KZdF+b6PF0k/oVuiXrmE3jE/NaT3DfRcRWMLh9ilNx4yi7vpe/bLabpExeuXCiL9z6fofeYfksqWeDJABMmAywM7B5IM/ghnxUeQwr7tlQrT6YzAJl0hWQBp7sgXyd4y0QjKjcumHVj+3zad9rj7rX7URri6a311k7tnNUfM1hYXa3Q47h++1+h7D7tNKbefwMN47q+/9qtdl+0n+XeeA5Xqp3VH32Ebr1k2D8t0f1TB+Vo3njfqW9FZ9kaL6wn69dzvoCZqj/QyYthKGv7eLi8dN8/SlffUTuhXAAOyG8ak5I3+dG7CEw+pDSJqZrfoIWPNoZrfICH3jwoi/8+n4H3mH5DClmgyQATIwYoCdw4gQXkhHhJQ4zCvJCdFq1/o9p2TniHlmfkERJBOCS29a1d9fauOtXtsv7MxHJoPh7856oKq/2s8hDTVjWfnuFsEBLAcJR/9KD/orGe2hHsbvlwVQa+Jy657RLdoEs102Dy92r9EEvfTQzhKfnt2/21nqZ27NQP6gN+PvvVoE5B2SxYwqMkAGyICFgTw6h+dl+9r9lDHpqL2Qxl/huY7vU/3Zo/l4aWuH6y0n1KDlNDtKlfDerl3r96Nwzjw5R8wno8hFlks/M9Aoy/27a74fPcvrebm5XVYL9Zct9r+m2u33MvGoT/zIO6SJy9CMDJCBs2fAs3Pw/ISAp7mEbCS6kCZyewRj8hAdEYzn1LxiT4hWu9bvnjye1DxHzDMTBoogmRBcetMqj9Fd1X1NYga075eL6mJzsHGop9pFgewTP/IOKQoIOiEDZOAMGPDsHDwvM57mEvhO1OzIY0IeovnSnyjJiQJIiFYXgX5PFEEStzliDiQitAJAESQTgktvWnFUGgPIO6TSYmQ8ZIAMpGKAnUMqZk2/8q7P8hCZjGU6Ct3knSZcXQT6/TQowlbNEXNYpMG/tgEUQTIhuPSmFUelMYC8QyotRsZDBshAKgbYOaRi1vQr7/osD5HJWKajvGjVaPV7TqTniDmQ39BQMQ+SCcGlN604Ko0B5B1SaTEyHjJABlIxwM4hFbOmX3nXZ3mITMYyHeVFq35CkhfqrjQ09kwLxQd2aHowD5K5rktvWnFUGgPIO6TSYmQ8ZIAMpGKAnUMqZk2/8q7P8hCZjGU6ypPWPFFnWiL+sEPTg3mQzNVdetOKo9IYQN4hlRYj4yEDZCAVA+wcUjFr+pX3A1J5iEzGMh3leSPOE3WmJeIPOzQ9mAfJXN2lN604Ko0B5B1SaTEyHjJABlIx4Nk5eG43Pc1TBUm/ZGAuBvK8EeeJeq6cnnyd0PRgHiQzGJfetOKoNAaQd0ilxch4yAAZSMWAZ+eQCoYcv2x25OQiGZKESU5wI06IVjOcALV2zffjGQitAKQVkonGpTetOCqNAeQdUmkxMh4yQAZSMcDOYcQsL6QjQkocJkxy6CZvD80J0epVZ1hCL8X3+RhAWiGZq7v0phVHpTGAvEMqLUbGQwbIQCoG2DmMmOWFdERIicO8kjwD2hmWKLGOpMeEtEIyMbv0phVHpTGAvEMqLUbGQwbIQCoG2DmMmOWFdERIicO8kpwQrX5CknCJZPWjsSdbIH/HSCskMyqX3rTiqDQGkHdIpcXIeMgAGUjFADuHEbO8kI4IKXGYV5ITotWu9XtOyc4R88z8giJIJgSX3rTiqDQGkHdIpcXIeMgAGUjFADuHEbOJLqTyfkAqD9EoEwmHiZKcCHFCtNq1fk8UQRK3OWJOQoTbKSiCZFq79KYVR6UxgLxDKi1GxkMGyEAqBjw7B8/t5vOyfe1mZTFSF9IUODsiljkxoUouBROeJZSk8PO6WyZEq13r9+PYfvq3b/7zf/uOHj72fn/7PbSKg3nosTgZFEEyg3TpTatjR+PUHevPNT9tAbpWzVGPvEPKMQ5iJgNk4BQMeHYO5V9mEm1s5RF3KkSnWnd4diVK8nCJiHJCtDoZ+j0U9X2L8fph3/zbvUc7D3vmf1WPL7/D48diHvoSLodWACiCZIbq0ptWR47+pO5If5bpMxSgZdV8Vcg7pHyjIXIyQAbmZYCdwzx8y7s+nwrRqdadJ8916CZvJnijZXQy9Pvo8OThzX1jur9z2O+s87DH5mU9Ongs5pE7ycPQUDEPkhmnS29aHTn6k7oj/Vmmz1CAllXzVSHvkPKNhsjJABmYlwF2DvPwLe/6fCpEp1p3njzXeYWn0er3/SR93F5ePTQ/93/67/Xq6rUxfr1eq88QvSxXm82P6hx26reby81na/dyddeYNa9nNaGf+PTfy2Xr4eFNHXp53XloDfV/yqaZ3Tl7Xl9sVHsy8Ly8G4w0nreb9fWLcqDttK+836el52+MmAfJtHLpTSvv0YHUqbTqBPUVoTQHUzdzAXqHnc8E5B1SPuiJlAyQgdMywM5hHv7lXZ9PhehU686T58w6B/2EZFpSnp/f366uFJHXy9u3p+pdbfkXz283F7+flzf//m179evi+f1x8dXY3fxrOoP21fxYuJ94vdy8PVfqmw/rBsLmbudhZ9q9dbN3zj5uV8rV0PPd22C0w/NaPb7/pz4V1R8xHGY7mJaev+FhHiTTyqU3rbxHB1L3LzB1Mxegd9j5TEDeIeWDnkjJABk4LQPsHObhX971+VSITrXuPHnOrHPQpExPym/VdASXauK16gQumn3/8rHefVhkp75ofup/d6tMhp8wajsHPfF6pUwe1OFd57DzoJR4dbO1s6dmqh50njHSbi+euun9EXjLWZqeHjNKzIPksjD1R44Spm7GAjySBMnTUQ+QJOMlNjJABiQxwM5hnmzoH+7Os9qUVU6FqPA7VZ7hTUP9+3i9XldvXdNQ32/q76aNqO9udOegegml/qruHx+V6c5OF2PbOXQW6kjzIab3aru3c2iMe2dN59AP2rbFHDV4vlo8Qzu9eN7v09LzN0bMg2RaufSmlfeo6SqRrWipm7kAvcPOZwLyDikf9ERKBsjAaRnw7BxOtd08LUlcPSIDhZdQnjfiaagvb96/vqp/at/f/Jqk+xu1N2x+T+r9te4cOvVn9fCkXurBg/GV6bZz2E1sd/71R/W7t3NojHtnzfazH7SezVGD57PFM7SLWLgndDUtPX8BYh4k08qlN628R23i+/xES93MBegddj4TkHdI+aAnUjJABk7LgGfncFqwc6xe+MZ2Dgrlr5EwyQluxAnR6lRNQv3T7Mu/h53DtnkAUavvu+4+rdT1Bb+NSfva0zlcK4PXhZr8qIRL7aGdpf9rZ/fOmu1nP2g7B3PUdA5ao9+1p9zfQysAaYVkcuHSm1beozSpm7sAvcPOZwLyDikf9ERKBsjAaRlg5zDinxfSESElDhMmOXSTt4fmhGj1qpOW2FYv9fZ62DnUt+uf+r/qs76/+t3iUcTtSn2I6Ut9gXpP56Dc/KxUp/Gw+q1fq7udB42nfe9ma2dN51DrQefZHKnOoTv+MbAzHJ7dAGmFZJLg0ptW3qM0qZu7AL3DzmcC8g4pH/RESgbIwGkZYOcw4p8X0hEhJQ7zSvIMaKct8VItF8+LwaeV6t+r6mKhmqXvq4X6ikG7X1Qb+O2d0l687u0c7i4vqmvVbfyuq8Vmc7fzYBRbt/3UztrOQQ+6pcxR0zlsN9VF1bxrBIbDsxsgrZBMElx608p7lCh1Mxegd9j5TEDeIeWDnkjJABk4LQPsHEb880I6IqTEYV5JTohWPyGZuMT2S+31zdfPX5Uy2H79mGbjkdpafjffkVCv7wOmpjN4brBj1LpS//3uVv57RFuc0TvSCskM36U3rYJHRhaMQVjqTlOAweHLnYi8Q5KLlsjIABmQxQA7h1E+eCEdEVLiMK8kJ0SrXev32ZLd/VD6qOVmx3wU2pNMBkWQTCAuvWlV4ChCAebMCvIOKed4iJ0MkIE5GWDnMGI70YVU/3B3tNoJh/IQzUdGoiQnCiAhWu1avx8fwffrr+nkZ9O9zCcLmyfTKmAUD3PA4nlMAUWQTOQuvWmV9ShZAebMCvIOKed4iJ0MkIE5GfDsHMrfbia6kCZye0SpnAqRhBI6Vexh6UqIVrvW72EAjVkf67vdx5A69fate/35nJMxK2AQEXPA6llMAUWQTOAuvWmV9ShZAebMCvIOKed4iJ0MkIE5GfDsHMq/zCTa2Moj7lSITrXu8KxKlOThEhHlhGh1MvR7DNQfq+W1+r1KKV9ta9JiNpqUlEue1HdoBSCtkMxAXHrTiqPSGEDeIZUWI+MhA2QgFQPsHFIxa/qVd30+FaJTrWvmI9kodJOXDNBexzoZ+n2v8dSDqnVYrv+bah1i96p+8WrdYP54DZme3ZzQ9GAeJDN4l9604qg0BpB3SKXFyHjIABlIxQA7h1TMmn7lXZ9PhehU65r5SDbKKzyNVr/HoeVjrXqH1dPoCw9xfLdefteqdVCY39bp1ogI92hXoenBPEgmGJfetOKoNAaQd0ilxch4yAAZSMUAO4dUzJp+l8vdD6Ofl+3r9CN1xxCDRXFFLKeokKYMEzD/ojoH1Tt8mudAxNHN6qN+rv8t1Z+SO4dX6O4O8yCZfLn0phVHpTGAvEMqLUbGQwbIQCoG2DmkYla631PdMU617kz5yDO8uKiTP3OoP5aqdfi3XJ7H1xzaD2aF1C/SCsn049KbVhyVxgDyDqm0GBkPGSADqRhg55CKWel+T/WB/MLvVHmGFxV1+u851PXlav20vLqVfpJFwheaHsyDZEJy6U0rjkpjAHmHVFqMjIcMkIFUDHh2DqfabqYKn35nZ6DwEsrzRhwT9Qy/W6mu/1uul8ur5ovS5/AKTQ/mQTL5culNK45KYwB5h1RajIyHDJCBVAx4dg6pYMjxW/jGVg7Rp0SSMMkJbsQJ0eokREQ9/nsOeonI7+qbFNfXkX2KdRdaAUgrJDNIl9604qg0BpB3SKXFyHjIABlIxQA7hxGzvJCOCClxmDDJoZu8PTQnRKtXjbfEn78hrZeI/P6oOoekv/k1Mt6TuENaIZlAXHrTiqPSGEDeIZUWI+MhA2QgFQPsHEbM8kI6IqTEYV5JngHtDEvErqPl5Tq2y+L8Ia2QzCBdetOKo9IYQN4hlRYj4yEDZCAVA+wcRszyQjoipMRhXklOiFY/IYm8xPZj+NrGLqHW/c3yoVskuvvYcE/nD2mFZKJx6U2reKPElaGBzrSMXi6/d+QdUn5REDEZIAOnYYCdw4h3XkhHhJQ4zCvJCdFq1/o9UrI/uj9asvs/+veYE7uPRIIAN0grJBOWS29axRvNlLqZlonHy9yekHdIc2PgemSADOTKADuHUebO5kKqf9w8iv8shnklOSFa7Vq/R8r+x/LlXb9elgk6h8Z9t0QC95FIEOAGaYVkwnLpTat4o8SVoYHOtIxeLr935B1SflEQMRkgA6dhwLNzKH+7eTYX0lMFKqGEThV72DmeEK12rd/DAP6Z9bF83+rXe4rOIan7P+Fkq0BaIZnBuPSmVbxR4srQQGdaRi+X3zvyDim/KIiYDJCB0zDg2TmUf5mRsLGdpRROlcpTrTskNa8kJ0Srk6HfhyQdISfeuCV2f0TgiaaGVgDSCsmE6NKbVvFGM6VupmXi8TK3J+Qd0twYuB4ZIAO5MsDOIdfMHYv7VHeMU617LF8T54du8ia6j2ymk6HfI7lPvHFL7D4SCRHdhKYH8yCZsFx60yreaKbUzbRMPF7m9oS8Q5obA9cjA2QgVwbYOeSauWNxn+qOcap1j+Vr4vy8wtNo9fvEIA+ZJd64JXZ/KLr5j4emB/MgmehdetMq3mim1M20TDxe5vaEvEOaGwPXIwNkIFcG2DnkmrljcS+Xux+PP3e/Ameu0XLm9ep511tGXO/YFB+er5+Q+G4fPq+N3570dzD8IsLfo0drJru/eirhl7b6pkcnHvMg6WPdu0tf1wdTHJjEyakL9L+blnqZzAsLeYdkVgZHZIAMkAEXA+wcXMxQn4aBwu9UEcOL6OpQKn2Xun7b6zHxj3w93H/f3+5FmsdB3/ToqDAPkj7Wvbv0dX0gxaabySOP1E32aTFMv0zmhYW8Q7LwSBUZIANkwMIAOwcLKVQlZKDwO1XE8CK6OpRP36UO2CfeuPm43x6AeogZEcdDY8A8SGZALn1du4+YHvxGPqnz82xYz7BM3oWF7EIyGOSADJABMuBkwLNz0J9ucPrjATKwn4HCSyjijTiiq/0p8d8mHoCWeOPm5f4A1EPMiDgeGgPmQTIDcun9S8L06xp5pc7l5LB+jmXc1B3Gd3ILgId0clAEQAbIQCYMeHYOmUR1BMzCN7ZHMFPQ1IRJjngj1ij1e8IE+KI+YJ944+bl/gDUhKTGcx1aAYgdkonKpWfnYPJkGbmpsxhLUwE8JGkYiYcMkAGpDLBzGGWGF9IRISUOEyY5dJO3h+aEaPWqvkscsE/8J3yd7sdfqm3COwBVM1DkO2KHZAbq0qfizZk6E9axo9jLFFdYyDukY0nnfDJABs6FAXYOo0zzQjoipMRhXkmeAa3vEgfsP4yd1kfsEnK6H8FqhyNdbCyi/SF2SCZglz5d5zAsjeiVoYNzVog28Hwf0dQORzpPjyc2B3hIJ4bE5ckAGciGAXYOo1TxQjoipMRhXklOiFY/IfFd4oD99mP4iv57UR3u2z3psFxblAegDu2LkxE7JDNIlz5V5+BInQnq+FHcZQosLOQd0vG00wMZIAPnwQA7h1GeeSEdEVLiMK8kJ0SrXev3qcn2tZ/q9yi7pfpkkgGsHRiao/znNxmxQzKjcOlTdQ7m6pmMCiws5B1SJtkgTDJABk7OADuHUQp4IR0RUuIwryQnRKtd6/epyfa1n+r3KLsCfzR8FB/D3b8rYS79cO6RIPKfXmBhIe+Q8k8UIyADZGAeBjw7B/3phnnAnWIVXkgTsy6hhPJKckK02rV+n5p7X/upfo+0G8FqhyPdkSvkNR2xQzIjcOnZORg8jWhqhyOdYS9+APCQxIMmQDJABoQw4Nk5lH+ZkbCxFVIbaWBIKKE8kqxR6vcE+dDJ0O9Tl/C1n+r3KLsCfzS84yO0ApAmSCbFLj07hwFPBRYW8g5pEDFFMkAGyMAeBtg57CGHhxIwUPidKnSTZ2F6Bqb0EvrdgsKq8rW3OomtLPDj6DuKQunGPEgm6y49O4cBTwUWFvIOaRAxRTJABsjAHgbYOewhh4cSMFD4nSpieBFdufKol9DvLrux3td+PD/JuMAfDe94CqUb8yCZ1Lv07BwGPBVYWMg7pEHEFMkAGSADexhg57CHHB5KwEDhd6qI4UV05cqjfkLiu5SvvWv9yPoRrHY40kVecR53oTFgHiQTsUvPzsHgaURTOxzpDHvxA4CHJB40AZIBMiCEAXYOQhJxNjAKv1NFDC+iq0PV5bvUwP719qGuH29fDy2R5Pho3faHw81/F+ql3po1B1CTQJjDaWgMmAfJxOvSH8fbKC3mkmaxwBTSyD5w6PbnX7J9Ye2EBpKbukDAc04DeEhzrs+1yAAZyJkBdg45Zy9H7IXfqSKGF9HVoULxXWpgf1et6npd3e5Z4ml9s+fon0Me5o51N5V67Z6nDKD+WSkXRWgMmAfJjNmlD9wY71LnSMtuaeMoBpBMiKPR5Opw+ztcslMWcVM3QixxCPCQJOIkJjJABiQy4Nk56E83SAyFmLJgoPASingjjujqUGX4LjWwb7dhb/997FmiNdlzfHTIw9y+7kNVPd5W1VvrdwB1tE4+w9AYMA+SGbVLH9g57FLn3rQ3qxtJg6mhNlEOR5Orw+2vdeE+rFabsoibuiFcoTLAQxIKlbDIABkQx4Bn5yAOf3RAhW9so/OVpcOESY54I9Yo9XtCqn1R7+yfLq/+tZush81LXav//l2ppwtvm/XV469C+357eXn7VT+sqsVm89HoL++/lb4zfN48Kbn7vw3t6+7y8vrhV5u/bq52fp4ur/+9btSHouC6ndB6av97u75snHWv7aK6bx6DXLdD39C0F0nvoRWA2CGZcbn0unNQqfrv6uqtfrq8Ub3hOGV9ikapU+2Azsgw6TtdUyy7Ce3TqoFaHdITkfQWsZ6wq45+5VpBs1dHs0xTatphF7hRsuqoWbG7ktUl2JdsZ2iG76bOpFjkCOAhiQRKUGSADAhkgJ3DKCm8kI4IKXGYMMmhm7w9NCdEq1f1XaKzv28+FLTsP620rlaVGjyp/y6q1W/9rI4uqv/UHr55vT41o+riq9ktNob/quqnrheV2t+1r9+LarleVF878/p6sVbiZV1jGeWic61xtz+xXisM6tUz/1mpRevbatFa+YamXZfwjtghmXG59LpzWFUXDbfX6t/ipx6nTKdonDpk5GmQdJ0llTQ9oamFgXowQtJbwP2EXXXolfdUh7U24LY5PK5YXbK6BHv0top1U2dSLHIE8JBEAiUoMkAGBDLAzmGUFF5IR4SUOMwryTOg9V2itf+pqk39tRh0DtXj17vSPtVqo/eohKvf+uur/r2tVj8/343190WlHkqojZkyrJfK8K2qmqcTzeujWmzV/7+d+bb+VDp1+BPL9K5b++a/3e6wev9dV1daqyapDyqpPaJyp3fA+th5vSOtkEwGXHrNm3pc9PnV9HsfqvdTSp2yrXrVfYrGqVMJ7jLS5q5P+i5LKml6QlsLUDeVMZjY1Va7VD9hVx26OGpbdXTgRrXRKmHdlk5XiCgrJbUlu1uktW7R2yrWTZ1JscgRwEMSCZSgyAAZEMgAO4dRUnghHRFS4jCvJCdEq39O77tEa6926OoTLDeDzkE9IGh+Ln2z2VxUV0p474qn/UCTGirru+ZJwLp5kqA+ZqJm3qp2YvdS+7SLq3s1Zfch88/Naql+4P2vW2ajjHvXeoruHNTnkgafTGfnoPlBWiHpY927S4/OQXV6F83335uGsE+Z6iOaxkynaJy69pNiTUaMpOssqS19P0FlcKDGCEnvlsKELtF65aa3VGVlVMcO3K5z2LnvlJ11X7JdIaKslNSVbLcI0Nsq1k2dSbHIEcBDEgmUoMgAGRDIADuHUVJ4IR0RUuIwryQnRKtd6/epyW7t1cZK/ehXPVDof/bf/IKl/9QniprXRgnNT4bVq92HdUP1JGBnXde/i+ptobsLZfZ+rT7NVP3bNQE/i2p9f6c+eNQt0+wNe9et1+a/3e5QrXtX9TGon5G/NpvJi9asV/eTzkdA7JDM6F16dA6K24tKfcek7Rx0ynbbeZ2iUeq6tDQZGSe9zVKTNJ1rmLZSm8/GCEnf9QH9hLaY+uIYGPbVYXYOu9rolKOSbZcblFUHVzHUdQ5A3xmaFeumzqRY5AjgIYkESlBkgAwIZICdwygpvJCOCClxmFeSE6LVrvX71GS39mqHrp5ZrEadg/qWgfqsUL39UcJjIzQfHFL2aqi+0XBZrfvOodntY7/fLv2zru4682ZL+NP8RPk/9TGnh+bjT6vGRee6tW3+a3d0/XZTq5ufkW+Xu6cZvqFpJyW8I3ZIZlwuvaNzMFPWp6jxOUgd2oFx0vvOQU+Aqdk5IOnA267QVQdWhuG4Omy1MSrZriHARCU9qvW2uxIE+s6w7U/7inVTB8hiJYCHJBYsgZEBMiCMAc/OQX+6QVgUEeHwQhqRTJsrCSWUV5ITotWu9bstYTZdZ39VVbeX6hHDcAdf19fVxcPT3cWzEqrr+0v1ZeUX9UXnq5+ranGnZryic1A7s3an1q3wtbx/flLfj9iZqx8Sb57Ut2f/U08PqtWi/TpF71pjsu0O2/VuFK7uiYdvaNp1Ce+IHZIZl0vv6hyMlPUpGqVu0A6Mkq47h37CwLTJZZvP1ghJbwFjQltMqnPYFYe7Oqy1YZZsazKo2L5ku4qte/Q7w6Z37SvWTZ1JscgRwEMSCZSgyAAZEMiAZ+dQ/mVGwsZWYJ3EgyShhPJIskap3+PloPekk6Hf+wMHhM7+e62+0zD+tFLzhWj1unyvt+qzRu1Tgq362kP19as2g9VF85uU9D5M7cyq736ln1VjvtnWnXmt/irDQu3g/lMOFxePm+ZhRe9aT7LuDtXH8dXHnpbN4wn18g2tmyXr/9AKQOyQzMhces3bqvmKAz6tVJsp0ykap65NS9sAjJKuO4d+wqBXaCYNJvZJbwFjQlcdeuWmJhzVYa0Ns2Rbk2FZ6ZLdlWCPfmdohO+mzqRY5AjgIYkESlBkgAwIZICdg8CkFA2p8DtV6CbPkvMZmNJL6HcLCqtK23+p36v697X9+m5/rVG9/frqhM5G6U3jh93fXNhpf03z393kZg314SO1hVXv2vVuiuNtsJKG6rDMQh0aA+ZBMgN26XXnYFqrkZkynaJ6lLrBtEEqBto9EzqrYdJbzWiFfuWh4ZTqsJYsJh4o2UH4buqGcQqVAR6SUKiERQbIgDgG2DmIS0nhgAq/U0UML6IrV03pJfS7y26s97Ufz2/H/+6G34+2mrTK5+Xmdlkt1B+CCHlFgRqycMQ5oTFgHiQTlkvv6BympsxcJGQ0OemTDUNQjOYY4bupG82SOAR4SBJxEhMZIAMSGWDnIDErJWMq/E4VMbyIrlwFpZ+Q+C7la29d/65SX4ZQr+ZDSupltWmU75eL6mJjNA7djPEUqzYKVCe2eQ6ExoB5kEzELr2jc9ApM52kGFmSbl9msqF9upfWCN9NnZfP0xgDPKTTIOGqZIAM5MfA+OZrfCz470Xlrya/kIn4pAwUXkIRw4vo6lDGfZfytd+7/lv32mszOmifYtVGhTqCMdcwNAbMg2RidukdnYM5+bxHbuoy4AXgIWUAmxDJABkQwQA7BxFpOCMQhd+pIoYX0dWh+vJdytf+0PoJj2cE1clCaAyYB8lcxKVn52DyZBm5qbMYS1MBPCRpGImHDJABqQx4dg760w1SwyEu8QwUXkIRb8QRXR2qCt+lfO0PrZ/weEZQnSyExoB5kMxFXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQyoBn5yA1jHi4Ct/YxiMqZ08JkxzxRqxR6veEjPui9rVPCP2Q64ygOkMJrQDEDslcxKVn52DyZBm5qbMYS1MBPCRpGImHDJABqQywcxhlhhfSESElDhMmOXSTt4fmhGj1qr5L+NrrdU7wnhHU6OwgdkjmIi49OweTJ8vITZ3FWJoK4CFJw0g8ZIAMSGWAncMoM7yQjggpcZhXkmdA67uEr/0JiygjqNFZQuyQzEVcenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKADuHUWZ4IR0RUuIwryQnRKufkPgu4Wt/wiLKCGp0lhA7JHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMsDOYZQZXkhHhJQ4zCvJCdFq1/p9arJ97af6TWCXEdTo0SN2SOYiLj07B5Mny8hNncVYmgrgIUnDSDxkgAxIZYCdwygzvJCOCClxmFeSE6LVrvX71GT72k/1m8AuI6jRo0fskMxFXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQyoBn56A/3SA1nONx8UJ6PId7PUgoobySnBCtdq3f92ZucNDXfjB1bjEjqNGpQeyQzEVcenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKgGfnUP5lRsLGVmqxRMEloYTySLJGqd+j0G860cnQ7+ZR98jX3u0p+ZGMoDq5CK0AxA7JXMSlZ+dg8mQZuamzGEtTATwkaRiJhwyQAakMsHOQmplScRV+pwrd5FnSPQNTegn9bkFhVfnaW53Mo8wIqpOQ0BgwD5K5iEvPzsHkyTJyU2cxlqYCeEjSMBIPGSADUhlg5yA1M6XiKvxOFTG8iK5cxaSX0O8uu7He1348f8ZxRlCdrITGgHmQzEVcenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKADsHqZkpFVfhd6qI4UV05Som/YTEdylfe9f6M+gzgupkIzQGzINkLuLSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQG2DlIzUypuAq/U0UML6KrQ8Xku5Sv/aH1Ex7PCKqThdAYMA+SuYhLz87B5MkyclNnMZamAnhI0jASDxkgA1IZYOcgNTOl4ir8ThUxvIiuDhWT71K+9ofWT3g8I6hOFkJjwDxI5iIuPTsHkyfLyE2dxViaCuAhScNIPGSADEhlwLNz0J9ukBoOcYlnoPASingjjujqUFX4LuVrf2j9hMczgupkITQGzINkLuLSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQGPDsHqWHEw1X4xjYeUTl7SpjkiDdijVK/J2TcF7WvfULoh1xnBNUZSmgFIHZI5iIuPTsHkyfLyE2dxViaCuAhScNIPGSADEhlgJ3DKDO8kI4IKXGYMMmhm7w9NCdEq1f1XcLXXq9zgveMoEZnB7FDMhdx6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA+wcRpnhhXRESInDvJI8A1rfJXztT1hEGUGNzhJih2Qu4tKzczB5sozc1FmMpakAHpI0jMRDBsiAVAbYOYwywwvpiJASh3klOSFa/YTEdwlf+xMWUUZQo7OE2CGZi7j07BxMniwjN3UWY2kqgIckDSPxkAEyIJUBdg6jzPBCOiKkxGFeSU6IVrvW71OT7Ws/1W8Cu4ygRo8esUMyF3Hp2TmYPFlGbuosxtJUAA9JGkbiIQNkQCoD7BxGmeGFdERIicO8kpwQrXat36cm29d+qt8EdhlBjR49YodkLuLSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQGPDsH/ekGqeEcj4sX0uM53OtBQgnlleSEaLVr/b43c4ODvvaDqXOLGUGNTg1ih2Qu4tKzczB5sozc1FmMpakAHpI0jMRDBsiAVAY8O4fyLzMSNrZSiyUKLgkllEeSNUr9HoV+04lOhn43j7pHvvZuT8mPZATVyUVoBSB2SOYiLj07B5Mny8hNncVYmgrgIUnDSDxkgAxIZYCdg9TMlIqr8DtV6CbPku4ZmNJL6HcLCqvK197qZB5lRlCdhITGgHmQzEVcenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKADsHqZkpFVfhd6qI4UV05SomvYR+d9mN9b724/kzjjOC6mQlNAbMg2Qu4tKzczB5sozc1FmMpakAHpI0jMRDBsiAVAbYOUjNTKm4Cr9TRQwvoitXMeknJL5L+dq71p9BnxFUJxuhMWAeJHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMsDOQWpmSsVV+J0qYngRXR0qJt+lfO0PrZ/weEZQnSyExoB5kMxFXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQygA7B6mZKRVX4XeqiOFFdHWomHyX8rU/tH7C4xlBdbIQGgPmQTIXcenZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgOenYP+dIPUcIhLPAOFl1DEG3FEV4eqwncpX/tD6yc8nhFUJwuhMWAeJHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMuDZOUgNIx6uwje28YjK2VPCJEe8EWuU+j0h476ofe0TQj/kOiOozlBCKwCxQzIXcenZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHEaZ4YV0REiJw4RJDt3k7aE5IVq9qu8SvvZ6nRO8ZwQ1OjuIHZK5iEvPzsHkyTJyU2cxlqYCeEjSMBIPGSADUhlg5zDKDC+kI0JKHOaV5BnQ+i7ha3/CIsoIanSWEDskcxGXnp2DyZNl5KbOYixNBfCQpGEkHjJABqQywM5hlBleSEeElDjMK8kJ0eonJL5L+NqfsIgyghqdJcQOyVzEpWfnYPJkGbmpsxhLUwE8JGkYiYcMkAGpDLBzGGWGF9IRISUO80pyQrTatX6fmmxf+6l+E9hlBDV69IgdkrmIS8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGWDnMMoML6QjQkoc5pXkhGi1a/0+Ndm+9lP9JrDLCGr06BE7JHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMuDZOehPN0gN53hcvJAez+FeDxJKKK8kJ0SrXev3vZkbHPS1H0ydW8wIanRqEDskcxGXnp2DyZNl5KbOYixNBfCQpGEkHjJABqQy4Nk5lH+ZkbCxlVosUXBJKKE8kqxR6vco9JtOdDL0u3nUPfK1d3tKfiQjqE4uQisAsUMyF3Hp2TmYPFlGbuosxtJUAA9JGkbiIQNkQCoD7BykZqZUXIXfqUI3eZZ0z8CUXkK/W1BYVb72VifzKDOC6iQkNAbMg2Qu4tKzczB5sozc1FmMpakAHpI0jMRDBsiAVAbYOUjNTKm4Cr9TRQwvoitXMekl9LvLbqz3tR/Pn3GcEVQnK6ExYB4kcxGXnp2DyZNl5KbOYixNBfCQpGEkHjJABqQywM5BamZKxVX4nSpieBFduYpJPyHxXcrX3rX+DPqMoDrZCI0B8yCZi7j07BxMniwjN3UWY2kqgIckDSPxkAEyIJUBdg5SM1MqrsLvVBHDi+jqUDH5LuVrf2j9hMczgupkITQGzINkLuLSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQG2DlIzUypuAq/U0UML6KrQ8Xku5Sv/aH1Ex7PCKqThdAYMA+SuYhLz87B5MkyclNnMZamAnhI0jASDxkgA1IZ8Owc9KcbpIZDXOIZKLyEIt6II7o6VBW+S/naH1o/4fGMoDpZCI0B8yCZi7j07BxMniwjN3UWY2kqgIckDSPxkAEyIJUBz85BahjxcBW+sY1HVM6eEiY54o1Yo9TvCRn3Re1rnxD6IdcZQXWGEloBiB2SuYhLz87B5MkyclNnMZamAnhI0jASDxkgA1IZYOcwygwvpCNCShwmTHLoJm8PzQnR6lV9l/C11+uc4D0jqNHZQeyQzEVcenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKADuHUWZ4IR0RUuIwryTPgNZ3CV/7ExZRRlCjs4TYIZmLuPTsHEyeLCM3dRZjaSqAhyQNI/GQATIglQF2DqPM8EI6IqTEYV5JTohWPyHxXcLX/oRFlBHU6CwhdkjmIi49OweTJ8vITZ3FWJoK4CFJw0g8ZIAMSGWAncMoM7yQjggpcZhXkhOi1a71+9Rk+9pP9ZvALiOo0aNH7JDMRVx6dg4mT5aRmzqLsTQVwEOShpF4yAAZkMoAO4dRZnghHRFS4jCvJCdEq13r96nJ9rWf6jeBXUZQo0eP2CGZi7j07BxMniwjN3UWY2kqgIckDSPxkAEyIJUBz85Bf7pBajjH4+KF9HgO93qQUEJ5JTkhWu1av+/N3OCgr/1g6txiRlCjU4PYIZmLuPTsHEyeLCM3dRZjaSqAhyQNI/GQATIglQHPzqH8y4yEja3UYomCS0IJ5ZFkjVK/R6HfdKKTod/No+6Rr73bU/IjGUF1chFaAYgdkrmIS8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGWDnIDUzpeIq/E4VusmzpHsGpvQS+t2Cwqrytbc6mUeZEVQnIaExYB4kcxGXnp2DyZNl5KbOYixNBfCQpGEkHjJABqQywM5BamZKxVX4nSpieBFduYpJL6HfXXZjva/9eP6M44ygOlkJjQHzIJmLuPTsHEyeLCM3dRZjaSqAhyQNI/GQATIglQF2DlIzUyquwu9UEcOL6MpVTPoJie9Svvau9WfQZwTVyUZoDJgHyVzEpWfnYPJkGbmpsxhLUwE8JGkYiYcMkAGpDLBzkJqZUnEVfqeKGF5EV4eKyXcpX/tD6yc8nhFUJwuhMWAeJHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMsDOQWpmSsVV+J0qYngRXR0qJt+lfO0PrZ/weEZQnSyExoB5kMxFXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQyoBn56A/3SA1HOISz0DhJRTxRhzR1aGq8F3K1/7Q+gmPZwTVyUJoDJgHyVzEpWfnYPJkGbmpsxhLUwE8JGkYiYcMkAGpDHh2DlLDiIer8I1tPKJy9pQwyRFvxBqlfk/IuC9qX/uE0A+5zgiqM5TQCkDskMxFXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQykDRncP2Y/jaTsoBL6STaMrbKGGSQzd5ewhNiFav6ruEr71e5wTvGUGNzg5ih2Qu4tKzczB5sozc1FmMpakAHpI0jMRDBsiAVAaK7hw+lsPXx6Qc8EI6iaa8jfJK8gxofZfwtT9huWQENTpLiB2SuYhLz87B5MkyclNnMZamAnhI0jASDxkgA1IZKLxzeHnXr5clOwepRTg7rrzulgnR6ickvkv42s+eYSyYEVSAjiQhdkima1P//frbHzaP9GoKmoGsCQJ4SDowvpMBMkAG9jNQeOfwvtWvd3YO+yvhnI7mdbdMiFa71u9Ti8DXfqrfBHYZQY0ePWKHZC4y0n+s7793BqMj5jSOMn8og+xCYlLJABkgA9MYYOcw4okX0hEhJQ7zSnJCtNq1fp+abF/7qX4T2GUENXr0iB2SuchYrz7gedM9nB0fMedxVGdNEMBDYk7JABkgA9MY2Ns5XOqfP/W+9KcbeoVo4WPJZw7iEiShhPK6WyZEu3P9felZJgkheSI5aJ4R1IOx+Bogdkimjz/6j9VydfmfMvpzxJzIUdYEATwkppQMkAEyMI2BvZ3D0/349xHldZkJ6RwkbGynpS5TKwkllEeSNUr9niDhXTK290+eviUkcSLkjKA6IwqtAMQOyVzkr161Dsvl6un37xFz5tmPsiYI4CGdfUZJABkgAxMZ2Ns51PfNXSTn1/CZQ85xEDsZSMjA3cSrRW+W0XbDA+pzR/Fun37a0VOH5aWlfGmM6h2yxy4d/3WW993orRt1GV3uRvfdE4SX7tiuTTRHiHan9+CtW/nc/s+aIICHdG4JZLxkgAyEMrC/c/jjNa/LTMgzhz8hUxGXgbxKyDv2iOFFdOUKI3SJ0HkuHAn1GUF1shAaA+ZBMhf5q+czB5Mh5+gvdU5TeQcAHpI8lEREBsiATAbYOcjMS7moCr9TRQwvoitXOR3/MRiXZzH6GVhMHmtoDJgHyQT7R8/vOZgEuUd/qHObyjsC8JDkoSQiMkAGZDLAzkFmXspFVfidKmJ4EV3FLifB0MahZgR1DL0fh8aAeZB6p60w1vN3K5n87BmNqdtjKu8QwEOSh5KIyAAZkMlA6Z1D/0WHqX/PQWaaCkJV+J0qYngRXcWuH8HQxqFmBHUMvR+HxoB5kHqnrTDS8+85mPTsG42o22cq7xjAQ5KHkojIABmQyYBn5xD66YbTBP+xfFr92/0R6al/Q/o0SM9o1bxKyDsxEW/EEV15h3FggmBoY+QZQR1D78ehMWAepN5pK5h6/g1pk529I5O6vabyDgI8JHkoiYgMkAGZDHh2DjKDcKFSj94Hr+4PHLlstb7wja0O87zfEyY54o1Yo9TvgnIWMcrUUWUE1UlFaAUgdkjmIi49/56DyZNl5KbOYixNBfCQpGEkHjJABqQyUHTnsP1YXq0/9Gv8tynsKeGF1M5LUdqESQ7d5O3hNyHaPavuPSQQkgtvRlBdIQTrETsk05lLz87B5MkyclNnMZamAnhI0jASDxkgA1IZKLpzaH7x+U3z91Cf/tn4f3mt6+fm8PDFC+mQjULlvJIsEK1ASK5SzQiqK4RgPWKHZDpz6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqAwV1Dvd/f9y7Xi5vrxX11w82/m/Vn0u6HR/hhdRGVWG6vJKcEO3fU2ZaphNCmgZgulVGUKcHNdESsUMyp7r07BxMniwjN3UWY2kqgIckDSPxkAEyIJWBgjqHm91fUQXV7V9QvVLfb3B3DjDeSbyQ/qGkPEVeSU6INtR16LwTlFJGUKOzg9ghmYu49OwcTJ4sIzd1FmNpKoCHJA0j8ZABMiCVgTw7h0/1tOB3oz5o9O+x/ri9vHr4reuX5Wqz+anrt5vLzaf6gNJ/L1er5epqeX3bdA4vl1evTQ5er9e33+r9+fLqv+aZw3Oj3U2pv5SrpXLBV+EM5HW3TIg21HXovBPUVUZQo7OD2CGZi7j07BxMniwjN3UWY2kqgIckDSPxkAEyIJUBz84h9NMNkcP/qb7rf9VVXd881M/P729XSvy8vPn3b1u/Lp7fHxdf9fXy5nm5Ur+Xdbn8VoPN23OlOo2XxfPbzcVv/bx4ebteqs6heVChp9QX9+9vypqvlAxIKKG87pYJ0Ya6Dp2XsrAcvjOC6oggXI3YIZneXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQyoBn5yDlMrN6qe/vqm29eGuJ/a2+uiagri9elObutr5e15vlR72sn5YP9fVKKR/W6mizb10+tlbbxa5z0FO+K/W8QcLGto2p1P8klFAeSdYo9XuCighNRui8BCEccpkRVGcooRWA2CGZi7j07BxMniwjN3UWY2kqgIckDSPxkAEyIJWBTDuH+029er98+1DNw+/j9XpdqQ6i/Z7DV3X/+Kg09fX970p9w0FdF/9b/16rHqF+r7bfTYdR3918q2cW6jNMXefQT6nXq4d3qYkqBlfhd6rQTZ4lvzMwFbpE6DxLlKlVGUF1UhEaA+ZBMhdx6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA5l2Dv8ufhbbh/sn9Smly5v3r69K/drVtnP4rB6e1OtFfbXhtfnTb8118eP1uvny9Ef1+9V2DPfXX83ThXrTdQ79lHr7ulms+GklRU3CV+F3qojhRXTlymfoEqHzXDgS6jOC6mQhNAbMg2Qu4tKzczB5sozc1FmMpakAHpI0jMRDBsiAVAYy7Rx+q/vr+n19/Vg3X3mov/vO4beRmtf1Q9sCtNfF7+vmV7O+Lupt82yivrrr3ldd59BPaaZt1+Nf09po+YrHQOF3qojhRXTlSl/oE5IZoLkg++ozguoMLTQGzINkLuLSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQGMu0c6svqSfUB1Yf676XeXjf9wv3Vr/oz0bcr9YGkr3f9i1i762Jz/GeleoLb9U/9X/VZby5/65eq6xz6KT/qo0q/q9DNlNQMS8NV+J0qYngRXcUuAsHQxqFmBHUMvR+HxoB5kHqnreDSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQGcu0cHtT2v75aKFpfquXieaE6h++rhfoaw/auulhcvOrOoesDru8uL6pr1Vf8XqmjSvdzWV1c7z6t1E/5uqiW1UZZ8ZWQgcLvVBHDi+gqdj4FQxuHmhHUMfR+HBoD5kHqnbaCS8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGfDsHCT+QH77ZW72t1/NlxjGr+/d9xd+dtZ63NrpKT9f6g9D8JWUAYklFDHgiDfiiK4iBti6EgxtHGpGUMfQ+3FoDJgHqXfaCi49OweTJ8vITZ3FWJoK4CFJw0g8ZIAMSGXAs3OQGkY8XIVvbOMRlbOnhEmOeCPWKPW7IMYjRpk6qoygOqkIrQDEDslcxKVn52DyZBm5qbMYS1MBPCRpGImHDJABqQwU3Tn8bLqX7RmEKyG8kLqYKUifMMmhm7w97CZEu2fVvYcEQnLhzQiqK4RgPWKHZDpz6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA0V3Dtu37mV+mml/Kngh3c9PEUfzSrJAtAIhuQozI6iuEIL1iB2S6cylZ+dg8mQZuamzGEtTATwkaRiJhwyQAakMFN05hJDOC2kIa5nNySvJCdGGPiFJCCl2KWUENXbo7V+z6Zy6WHDp2TkcTIabuoNTT28A8JBOj4oIyAAZyIMBdg6jPPFCOiKkxGFeSU6INtR16LwTFFNGUKOzg9ghmYu49OwcTJ4sIzd1FmNpKoCHJA0j8ZABMiCVgdI7B+8fqvJCKrVUI+LKK8kJ0Ya6Dp0XMYdTXWUEdWpIk+0QOyRzskvPzsHkyTJyU2cxlqYCeEjSMBIPGSADUhnw7By8N+Knjtv7uug94dQR5ra+hBLKK8kJ0Ya6Dp13gmLNCGp0dhA7JHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMuDZOWR3mfEGLGFjK7VYouDyzkiUVU0neSRZo9TvZgxRRqHJCJ0XBbSfk4ygOgMLrQDEDslcxKVn52DyZBm5qbMYS1MBPCRpGImHDJABqQywc5CamVJxFX6nCt3kWdI9A1OhS4TOs0SZWpURVCcVoTFgHiRzEZeenYPJk2Xkps5iLE0F8JCkYSQeMkAGpDLAzkFqZkrFVfidKmJ4EV25iil0idB5LhwJ9RlBdbIQGgPmQTIXcenZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHKRmplRchd+pIoYX0ZWrmEKfkMwAzQXZV58RVGdooTFgHiRzEZeenYPJk2Xkps5iLE0F8JCkYSQeMkAGpDLAzkFqZkrFVfidKmJ4EV3FLibB0MahZgR1DL0fh8aAeZB6p63g0rNzMHmyjNzUWYylqQAekjSMxEMGyIBUBkrvHEJ/qCo1X/njKvxOFTG8iK5il41gaONQM4I6ht6PQ2PAPEi901Zw6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA56dAzfiUhOZDa7CSyjijTiiq9jVIRjaONSMoI6h9+PQGDAPUu+0FVx6dg4mT5aRmzqLsTQVwEOShpF4yAAZkMqAZ+cgNYx4uArf2MYjKmdPCZMc8UasUep3QYxHjDJ1VBlBdVIRWgGIHZK5iEvPzsHkyTJyU2cxlqYCeEjSMBIPGSADUhlg5zDKDC+kI0JKHCZMcugmbw/NCdHuWXXvIYGQXHgzguoKIViP2CGZzlx6dg4mT5aRmzqLsTQVwEOShpF4yAAZkMoAO4dRZnghHRFS4jCvJAtEKxCSq04zguoKIViP2CGZzlx6dg4mT5aRmzqLsTQVwEOShpF4yAAZkMoAO4dRZnghHRFS4jCvJCdEG/qEJCGk2PWWEdTYodeIHZK5iEvPzsHkyTJyU2cxlqYCeEjSMBIPGSADUhlg5zDKDC+kI0JKHOaV5IRoQ12HzjtBMWUENTo7iB2SuYhLz87B5MkyclNnMZamAnhI0jASDxkgA1IZKL1z8P6hKi+kUks1Iq68kpwQbajr0HkRczjVVUZQp4Y02Q6xQzInu/TsHEyeLCM3dRZjaSqAhyQNI/GQATIglQHPzsF7I37quL2vi94TTh1hbutLKKG8kpwQbajr0HknKNaMoEZnB7FDMhdx6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA56dQ3aXGW/AEja2UoslCi7vjERZ1XSSR5I1Sv1uxhBlFJqM0HlRQPs5yQiqM7DQCkDskMxFXHp2DiZPlpGbOouxNBXAQ5KGkXjIABmQygA7B6mZKRVX4Xeq0E2eJd0zMBW6ROg8S5SpVRlBdVIRGgPmQTIXcenZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHKRmplRchd+pIoYX0ZWrmEKXCJ3nwpFQnxFUJwuhMWAeJHMRl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMsDOQWpmSsVV+J0qYngRXbmKKfQJyQzQXJB99RlBdYYWGgPmQTIXcenZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHKRmplRchd+pIoYX0VXsYhIMbRxqRlDH0PtxaAyYB6l32gouPTsHkyfLyE2dxViaCuAhScNIPGSADEhloPTOIfSHqlLzlT+uwu9UEcOL6Cp22QiGNg41I6hj6P04NAbMg9Q7bQWXnp2DyZNl5KbOYixNBfCQpGEkHjJABqQy4Nk5cCMuNZHZ4Cq8hCLeiCO6il0dgqGNQ80I6hh6Pw6NAfMg9U5bwaVn52DyZBm5qbMYS1MBPCRpGImHDJABqQx4dg5Sw4iHq/CNbTyicvb0vGxfu1xHHe1uxDF8PtcxvNQpvCz3IZNVGSXsjEIvSogdkpkdl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMsDOYZQZXkhHhHDoxUDoJm/PIgJLUiAkF4EZQXWFEKxH7JBMZy49OweTJ8vITZ3FWJoK4CFJw0g8ZIAMSGWAncMoM7yQjgjh8NQMCCxJgZBcWcoIqiuEYD1ih2Q6c+nZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHEaZ4YV0RAiHp2YgYUmGPiFJCCk22xlBjR16jdghmYu49OwcTJ4sIzd1FmNpKoCHJA0j8ZABMiCVAXYOo8zwQjoihMNTM5CwJENdO+eFtiLpOHZCTbekGM+IHZIJzqVn52DyZBm5qbMYS1MBPCRpGImHDJABqQyU3jl472R4IZVaqmeLK2FJhrp2znMeOFn25CGajwrEDslc3aVn52DyZBm5qbMYS1MBPCRpGImHDJABqQx4dg7eG/FTx+19XfSecOoIc1s/uxI6OcEJSzLUtXOe88DJWJSHaD4qEDskc3WXnp2DyZNl5KbOYixNBfCQpGEkHjJABqQy4Nk5ZHeZ8QbMjW3iUvXOSGI8ct3rUtTvCZCGJsM5z3kgAfhpLuUhmoZ7aBVaAYgd0tDvvv7ANcOcf8ajrAkCeEhnnEuGTgbIgBcD7By86KLx0QwUfqcK3eRZeJ2BqdAlnPOcByzxzaOSh8g/7tAYMA+SubpLv6+nMD2c7chNXQaUADykDGATIhkgAyIYYOcgIg1nBKLwO1XE8CK6ctVX6BLOec4DLgTJ9fIQ+YccGgPmQTJXd+nZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHKRmplRchd+pIoYX0ZWrmEKfkDihOQ+4ECTXy0PkH3JoDJgHyVzdpWfnYPJkGbmpsxhLUwE8JGkYiYcMkAGpDLBzkJqZUnEVfqeKGF5EV7GLyQkttBWJDRD+nFBhIl4KjQHzIJnBuvTsHEyeLCM3dRZjaSqAhyQNI/GQATIglYHSOwd5OxmplTAXrsLvVBHDi+gqdnIFQxuHmhHUMfR+HBoD5kHqnbaCS8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGfDsHLgRl5rIbHAVXkIRb8QRXcWuDsHQxqFmBHUMvR+HxoB5kHqnreDSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQGPDsHqWHEw1X4xjYeUfRkZSDijViXon63rncaZcQoUweQEVQnFaEVgNghmYu49OwcTJ4sIzd1FmNpKoCHJA0j8ZABMiCVAXYOo8zwQjoihEMvBkI3eXsWEViSAiG5CMwIqiuEYD1ih2Q6c+nZOZg8WUZu6izG0lQAD0kaRuIhA2RAKgPsHEaZ4YV0RAiHp2ZAYEkKhOTKUkZQXSEE6xE7JNOZS8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGWDnMMoML6QjQjg8NQMJSzL0CUlCSLHZzghq7NBrxA7JXMSlZ+dg8mQZuamzGEtTATwkaRiJhwyQAakMsHMYZYYX0hEhHJ6agYQlGeraOS+0FUnHsRNquiXFeEbskExwLj07B5Mny8hNncVYmgrgIUnDSDxkgAxIZaD0zsF7J8MLqdRSPVtcCUsy1LVznvPAybInD9F8VCB2SObqLj07B5Mny8hNncVYmgrgIUnDSDxkgAxIZcCzc/DeiJ86bu/roveEU0eY2/rZldDJCU5YkqGunfOcB07GojxE81GB2CGZq7v07BxMniwjN3UWY2kqgIckDSPxkAEyIJUBz84hu8uMN2BubBOXqndGEuOR616Xon5PgDQ0Gc55zgMJwE9zKQ/RNNxDq9AKQOyQhn739QeuGeb8Mx5lTRDAQzrjXDJ0MkAGvBhg5+BFF42PZqDwO1XoJs/C6wxMhS7hnOc8YIlvHpU8RP5xh8aAeZDM1V36fT2F6eFsR27qMqAE4CFlAJsQyQAZEMEAOwcRaTgjEIXfqSKGF9GVq75Cl3DOcx5wIUiul4fIP+TQGDAPkrm6S8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGWDnIDUzpeIq/E4VMbyIrlzFFPqExAnNecCFILleHiL/kENjwDxI5uouPTsHkyfLyE2dxViaCuAhScNIPGSADEhlgJ2D1MyUiqvwO1XE8CK6il1MTmihrUhsgPDnhAoT8VJoDJgHyQzWpWfnYPJkGbmpsxhLUwE8JGkYiYcMkAGpDJTeOcjbyUithLlwFX6nihheRFexkysY2jjUjKCOoffj0BgwD1LvtBVcenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKgGfnwI241ERmg6vwEop4I47oKnZ1CIY2DjUjqGPo/Tg0BsyD1DttBZeenYPJk2Xkps5iLE0F8JCkYSQeMkAGpDLg2TlIDSMersI3tvGIoicrAxFvxLoU9bt1vdMoI0aZOoCMoDqpCK0AxA7JXMSlZ+dg8mQZuamzGEtTATwkaRiJhwyQAakMsHMYZYYX0hEhHHoxELrJ27OIwJIUCMlFYEZQXSEE6xE7JNOZS8/OweTJMnJTZzGWpgJ4SNIwEg8ZIANSGWDnMMoML6QjQjg8NQMCS1IgJFeWMoLqCiFYj9ghmc5cenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKADuHUWZ4IR0RwuGpGUhYkqFPSBJCis12RlBjh14jdkjmIi49OweTJ8vITZ3FWJoK4CFJw0g8ZIAMSGWAncMoM7yQjgjh8NQMJCzJUNfOeaGtSDqOnVDTLSnGM2KHZIJz6dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA6V3Dt47GV5IpZbq2eJKWJKhrp3znAdOlj15iOajArFDMld36dk5mDxZRm7qLMbSVAAPSRpG4iEDZEAqA56dg/dG/NRxe18XvSecOsLc1s+uhE5OcMKSDHXtnOc8cDIW5SGajwrEDslc3aVn52DyZBm5qbMYS1MBPCRpGImHDJABqQx4dg7ZXWa8AXNjm7hUvTOSGI9c97oU9XsCpKHJcM5zHkgAfppLeYim4R5ahVYAYoc09LuvP3DNMOef8ShrggAe0hnnkqGTATLgxQA7By+6aHw0A4XfqUI3eRZeZ2AqdAnnPOcBS3zzqOQh8o87NAbMg2Su7tLv6ylMD2c7clOXASUADykD2IRIBsiACAbYOYhIwxmBKPxOFTG8iK5c9RW6hHOe84ALQXK9PET+IYfGgHmQzNVdenYOJk+WkZs6i7E0FcBDkoaReMgAGZDKADsHqZkpFVfhd6qI4UV05Sqm0CckTmjOAy4EyfXyEPmHHBoD5kEyV3fp2TmYPFlGbuosxtJUAA9JGkbiIQNkQCoD7BykZqZUXIXfqSKGF9FV7GJyQgttRWIDhD8nVJiIl0JjwDxIZrAuPTsHkyfLyE2dxViaCuAhScNIPGSADEhloPTOQd5ORmolzIWr8DtVxPAiuoqdXMHQxqFmBHUMvR+HxoB5kHqnreDSs3MwebKM3NRZjKWpAB6SNIzEQwbIgFQGPDsHbsSlJjIbXIWXUMQbcURXsasjENr2Y/jaxkZl9RcI1errVMrQGDAPkhmDS59v5zBbjbmpMykWOQJ4SCKBEhQZIAMCGfDsHARGEBlS4RvbyGzR3ZiBiDdiXYr6fbzUCceBUX4sh6+PWQIIhDoLtqmLhFYAYodkrunS59s5zFZjbupMikWOAB6SSKAERQbIgEAG2DmMksIL6YgQDr0YCN3k7VlEYEkGQvpYvrzr18uSncOepEc5hDRBMh279Dl3DjPVmJs6k2KRI4CHJBIoQZEBMiCQAXYOo6TwQjoihMNTMyCwJAMhfSzft/r1zs4heWEhTZDMRV36nDuHmWrMTZ1JscgRwEMSCZSgyAAZEMgAO4dRUnghHRHC4akZSFiSoU9IAiGxc5i3lpAmSCYCl56dg8mTZeSmzmIsTQXwkKRhJB4yQAakMsDOYZQZXkhHhHB4agYSlmSo68tvByn7W5ETdA7/Ng6k56BGeiGZcbv0de1MselA3GiuGsu7sJB3SOJSSUBkgAwIZaD0zmH/TsaSFF5ILaRQdUoGEpZkqOune8cvRtrvcK5dHbL1b/2FwdlJyAYkkwSXvq6dKTYdiBvNVGOZFxbyDklcKgmIDJABoQx4dg7eG/FTh+19XfSecOoIc1tfTgk9d7/oZwdI7mj3+4hS4NxVu3/s96vhb0maLg8/gz59Vrjl5pwbhxoXM0jm9cKlV1ahKQ5PVqSZs9RY5oWFvEMyK4MjMkAGyICLAc/OIbvLjDdgORtbV8oy13tnJPN4w+HrUtTv4Z6cM6MnY7/DmX4e7Aw31wOhFYBsQDI5cOlNq5xGrLEp2ULeIU2ZRxsyQAbIQF2zc2AVzMtA4Xeq0E2eJQkzMBV9if0OuauzpHmCaj+rbgeYB8m0dulNq5xGrLEp2ULeIU2ZRxsyQAbIADsH1sDcDBR+p4oYXkRXriRHX2K/Q+7qXInYr9/Pqnsu5kEyrV160yqnEWtsSraQd0hT5tGGDJABMsDOgTUwNwOF36kihhfRlSvJEZ+QdEvsx8xdnSsR+/X7WXXPxTxIprVLb1rlNGKNTckW8g5pyjzakAEyQAbYObAG5mZAyp0q+qa5IzJieBFdzZbk/aye4m9IzxZ6woVCKwHzIJkwXXrTKqcRa2xKtpB3SFPm0YYMkAEyUH7nsH8nwwqYnwEpd6pEOCK6jehq/jRbV/wwfnvOh9WGyr8MhFYC5kEyvbv0plVOI9bYlGwh75CmzKMNGSADZMC7c+BGnEVzJANSSijRHTOi24iujsxZrOnbj+HL8SchYi1WkJ/QSsA8SCYtLr1pldOINTYlW8g7pCnzaEMGyAAZ8O4cyqdMysa2fKZPHGGiO2ZEt7oU9fuJCUu8/Mtr4gUydh9aAShGSCYNLr1pVcqINaYzibxD0sf4TgbIABnYz4Dnb2Xd76yEo7yQlpDFCTEkSnToJm8P4kRI96wY+dD9FFJu7yKvSnfH/SW4vPhjjXnlC9cUSF4OaEwGyMAZM8DOYZR8XkhHhJQ6zCfR+SB11MrNvePAUM3OYchGHBmVA8n07NKbVhmMWGNeSULeIXk5oDEZIANnzAA7h1HyeSEdEVLqMJ9EJ0Q65WHAEQXwdXt5dffzslxtNj/1hxo8/Cpvz5dX/7WfG3m7udx8Nu4bDTuHI4h2TEXlQDJNXXrTSvKINRaSHeQdUogfziEDZOAcGWDnMMo6L6QjQkodJt40R6QtYUlGd22yenH//vb4/Xl58+/ftn5+fn+7uqrrx4vXt5ul+mzS6+L5/XHxpRqHxcvbdaPhKy4DSC8kcwWX3rSSPGKNhWQHeYcU4odzyAAZOEcGSu8czJ3MhAzzQjqBJJrMyUDCkozu2nD4Xf20POGTJL/VV714revtheoTLl7U0bvbTtgu2DlELypkA5K5iEtvWgkescaCkoO8QwpyxElkgAycIQOenYP3RvzUlHpfF70nnDrC3NbProROTnDCkozu2nS4Xj28K/q6zuH38Xq9rt6+qu9GdVd/VfePj0pXf7eaa3YO0SsN2YBkLuLSm1aSR6yxkOwg75BC/HAOGSAD58iAZ+eQ3WXGGzA3tolPA++MJMYj170uRf2eAGn0ZJgOt6+bxep71zlc3rx/fVX/+s7hs3p4Uq8X1UI0jyY27BycCQ6tAGQDkrmIS29aSR6xxkKyg7xDCvHDOWSADJwjA+wczjHrp4y58DtV6CbPkpIZmIq+xB+H2/VD1zn8NE8Wvqt/2+qfilV9q+G3FZS8rd7U/yt2DpYa6FR/WHVamgcwD5LLwtRnNWKNeacL9QDJ2wknkAEycKYMsHM408SfLOzC71QRw4voypXt6EsYDn/UR5V+V8/1/dXvVvUHL/X2WnULd6uPn/vmWw23K/Xt6C9ls7n8rV8qdg6uLA3+LoPTxHoA2YBkGrr0ppXgEWssKDnIO6QgR5xEBsjAGTLAzuEMk37SkAu/U0UML6IrV8YjPiHpljAwf11Uy2qzrb+vFuqb0S/VcvG8+FdvbxcXD5sH9azhrrpYXLzW9c9ldXHNTyu5kqSe0LgP7T2CeZDMCS69aSV4xBoLSg7yDinIESeRATJwhgywczjDpJ80ZCl3quib5o7ViOFFdDVbxkes/nw1f8Bh99p+bbVYr5rfq1Rvv346zXfzrWm+XAyEVgLmQTLXcOlNK9Ej1lhAepB3SAFuOIUMkIGzZKD0zmG0kznLHMsKWsqdKhGOiG4jupJUAp+vX5+3F2giJGETiiW0EjAPkhmiS29aZTdijR1IGfIO6cAUHiYDZIAM7Bjw7By4EWflHMmAlBJKdMeM6DaiqyNzFnX61/VqteEzBh9OQysB8yCZ67r0plV2I9bYgZQh75AOTOFhMkAGyMCOAc/OoXzepGxsy2f6xBEmumNGdKtLUb+fmDAufzIGQisAxQjJDMKlN604Ko0B5B1SaTEyHjJABlIxwM5hxCwvpCNCSh0mSnToJm8PzYmQ7lmRh8pgAJUDyYzMpTetOCqNAeQdUmkxMh4yQAZSMcDOYcQsL6QjQkod5pPofJCWWiu5xoXKgWTG4tKbVhyVxgDyDqm0GBkPGSADqRhg5zBilhfSESGlDvNJdEKkCZ6QlFovOcaFyoFkxuHSm1YclcYA8g6ptBgZDxkgA6kYYOcwYpYX0hEhpQ7z2TQnLMnorvNhtdS6HsaF9EIaHg//SxGmF45yYwD1ACm3GIiXDJCBUzFQeufgvZPhhfRUpch1HQwkLMnorqM7dHBC9RQGkA1I5jyX3rTiqDQGkHdIpcXIeMgAGUjFgGfn4L0RT4V7ql/v66L3hKlIaNcxkF0JnTxxCUsyuuvoDk/Ofs4AkA1IZjwuvWnFUWkMIO+QSouR8ZABMpCKAc/OIbvLjDdgbmxTldrOr3dGEuOR616Xon5PgDR6MqI7TBB0fi5DKwDZgGRG79KbVhyVxgDyDqm0GBkPGSADqRhg55CKWfq1M1D4nSp0k2chawamoi8R3aGFl/NThbKKeZBM9lx604qj0hhA3iGVFiPjIQNkIBUD7BxSMUu/dgYKv1NFDC+iK3sqEnxBdgbMrlgK1oeyinmQTJpcetOKo9IYQN4hlRYj4yEDZCAVA+wcUjFLv3YGCr9TRQwvoit7Kuo64hOSbokZMLtiKVgfyirmQTJpculNK45KYwB5h1RajIyHDJCBVAywc0jFLP3aGZByp4q+ae7CjRheRFf2VCTQJmI1AdKcXIZWAuZBMuN26U0rjkpjAHmHVFqMjIcMkIFUDJTeOXAnk6pyQv1KuVMlwhHRbURXocniPBEMhFYC5kEyA3LpTSuOSmMAeYdUWoyMhwyQgVQMeHYO3IinSsTZ+JVSQonumBHdRnR1NtVVZqChlYB5kEyGXHrTiqPSGEDeIZUWI+MhA2QgFQOenUMqGHL8StnYymGkUCSJ7pgR3epS1O+FJoJhHWQgtAJQjJDMxVx604qj0hhA3iGVFiPjIQNkIBUD7BxGzPJCOiKk1GGiRIdu8vbQnAjpnhV5qAwGUDmQzMhcetOKo9IYQN4hlRYj4yEDZCAVA+wcRszyQjoipNRhPonOB2mptZJrXKgcSGYsLr1pxVFpDCDvkEqLkfGQATKQigF2DiNmeSEdEVLqMJ9EJ0Sa4AlJqfWSY1yoHEhmHC69acVRaQwg75BKi5HxkAEykIoBdg4jZnkhHRFS6jCfTXPCkozuOh9WS63rYVxIL6Th8QR/CtB0z5FQBvp6+FgJRUhYZIAMyGWg9M7BeyfTX1Ll5ozIzouBhCUZ3XV0h+eV6sjRIhuQzCVcetOKo9IY0Hn/WH+UFhrjIQNkIDkDnp2D90Y8eQAHFtBXyANmOOw9AVMpTWEguxKaElRSm4QlGd11dIdJmS3dObIByYzZpTetOCqNgV3e2TiUlljGQwZmYcCzc8juRuMNmBvbxHXnnZHEeOS616Wo3xMgjZ6M6A4TBJ2fy9AKQDYgmdG79KYVR6Ux0OWdjUNpeWU8ZGAeBtg5zMMzV9EMFL5XCd3kaXoG7zMwFX2J6A4HfJyvGMoq5kEyWXTpTSuOSmOgzTsbh9LSynjIwEwMsHOYiWgus2Og8L1KxPAiunJVX/Qlojt0IT8rfSirmAfJJM6lN604Ko2BJu9sHErLKuMhA3MxwM5hLqa5TsdA4XuViOFFdOUqvohPSM4iuy4eE+tDKwHzIJlQXXrTiqPSGFB5Z+NQWlIZDxmYjQF2DrNRzYVaBqTsVaJvmrv8RgwvoqvZai8Rq7Phl7lQaCVgHiQzQpfetOKoNAaWbBxKSynjIQMzMlB658CdzIzFNGkpKXuVRDgiuo3oalJmaCSVgdBKwDxIZowuvWnFUWkMLPnEobSUMh4yMCMDnp0DN+Iz5qbMpaSUUKI9U0S3EV2VWUpnE1VoJWAeJJM0l9604qg0Bpb8Ow6lpZTxkIEZGfDsHGZEdqKlpGxsTxT++SybaM8U0a0uRf1+PrlhpCYDoRWAYoRkel7ydZ4M8A/AmScCR2SADHgwwM5hRJbrFjsy4zB3BhIlOnSTt4fOREj3rMhDZTCAyoFURmSMggyQATJABk7FADuHEfO8xY4IKXWYT6LzQVpqreQaFyoHUq6xEDcZIANkgAzIYICdwygPvMWOCCl1mE+iEyJN8ISk1HrJMS5UDqQc4yBmMkAGyAAZkMMAO4dRLniLHRFS6jCfTXPCkozuOh9WS63rYVxIL6ThccpkgAyQATJABnwZKL1z8N7J8BbrW0K0T8xAwpKM7jq6w8Tclu0e2YBUdsSMjgyQATJABlIz4Nk5eG/EU+M/5N/7juk94RACHjcZyK6ETPgnGCUsyeiuozs8Ad/lLIlsQConOkZCBsgAGSADp2DAs3PI7gbkDZgb28Rl6J2RxHjkutelqN8TII2ejOgOEwSdn8vQCkA2IOUXPRGTATJABsiAJAbYOUjKxjlgKXwPE7rJs6R+BqaiLxHdoYWX81OFsop5kM6PPUZMBsgAGSADMRlg5xCTTfo6zEDhe5iI4UV05UpL9CWiO3QhPyt9KKuYB+msiGOwZIAMkAEyEJ0Bdg7RKaXDvQwUvoeJGF5EV66MRHxC0i0xA2ZXLAXrQ1nFPEgF08TQyAAZIANkYAYG2DnMQDKXGDAgZQ8TfdPcxRgxvIiuBvynFROxmha0eO+hlYB5kMQHS4BkgAyQATIgmoHSOwfuZKSVn5Q9TCIcEd1GdCWtCIjHi4HQSsA8SF4L05gMkAEyQAbIwIgBz86BG/ERfxz6MiClhBLtpSK6jejKN0m0F8VAaCVgHiRRgREMGSADZIAMZMeAZ+eQXXzegKVsbL2Bc4IfA4n2UhHd6lLU737x0bocBkIrAMUIqRxWGAkZIANkgAycggF2DiPWeYsdEVLqMFGiQzd5e2hOhHTPijxUBgOoHEhlRMYoyAAZIANk4FQMsHMYMc9b7IiQUof5JDofpKXWSq5xoXIg5RoLcZMBMkAGyIAMBtg5jPLAW+yIkFKH+SQ6IdIET0hKrZcc40LlQMoxDmImA2SADJABOQywcxjlgrfYESGlDvPZNCcsyeiu82G11LoexoX0Qhoep0wGyAAZIANkwJeB0jsH750Mb7G+JUT7xAwkLMnorqM7TMxt2e6RDUhlR8zoyAAZIANkIDUDnp2D90Y8Nf5D/r3vmN4TDiHgcZOB7ErIhH+CUcKSjO46usMT8F3OksgGpHKiYyRkgAyQATJwCgY8O4fsbkDegLmxTVyG3hlJjEeue12K+j0B0ujJiO4wQdD5uQytAGQDUn7REzEZIANkgAxIYoCdg6RsnAOWwvcwoZs8S+pnYCr6EtEdWng5P1Uoq5gH6fzYY8RkgAyQATIQkwF2DjHZpK/DDBS+h4kYXkRXrrREXyK6Qxfys9KHsop5kM6KuLMIdnsWUTJIMkAG5DDAzkFOLs4DSeF7mIjhRXTlKq2IT0i6JWbA7IqlYH0oq5gHyUHTx2rJV6YMsHVwFDXVZIAMpGGAnUMaXunVxcDBPYxrYmR99E1zhy9ieBFdRebO7S4Rq+4Fz+JIaCVgHiQ7YR/rD/sBaoUz8LE+lFvhARAeGSAD2TFQeufAnYy0kpRyn0uEI6LbiK6kFQHxeDEQWgmYB8m6MBsHKy0ZKFXmDuQ2gyAIkQyQgbwY8OwcuBHPK70C0UopoUT324huI7oSWAeENJ2B0ErAPEi2Vdk42FjJQddkbn9uc4iCGMkAGciLAc/OIa/gQtBK2diGYOccDwYS3W8jutWlqN89gqNpUQyEVgCKEZKFGDYOFlKyULWZ25vbLMIgSDJABvJigJ3DKF+8DI8IKXWYKNGhm7w9NCdCumdFHiqDAVQOpL+RsXH4y0kemi5z+3KbRxxESQbIQF4MsHMY5YuX4REhpQ7zSXQ+SEutlVzjQuVA+hMLG4c/lGSi2GVuT24zCYQwyQAZyIsBdg6jfPEyPCKk1GE+iU6INMETklLrJce4UDmQxnGwcRgzkstYZ86d21wiIU4yQAbyYoCdwyhfvAyPCCl1mM+mOWFJRnedD6ul1vUwLqQX0vC4kvX2c6TmUDwDfeacuRUfAgGSATKQJwOldw7eOxlehvMs5IJRJyzJ6K6jOyw4r+lDQzYgmav2209TzZF4BpA5V27Fh0CAZIAMZMqAZ+fgvRE/NS3eV1XvCaeOMLf1syuhkxOcsCSju47u8OTs5wwA2YBkxpPpX00m7OWy/9N9rtyameaIDJABMhCLAc/OIbuLlDdgbmxjlZbDj3dGHH7KV+tS1O8JIo6ejOgOEwSdn8vQCkA2IJnRu/SmFUfyGEDmIMlDSURkgAyUyAA7hxKzKjmmwu9zoZs8S8pmYCr6EtEdWng5P1Uoq5gHyWTPpTetOJLHADIHSR5KIiIDZKBEBtg5lJhVyTEVfp+LGF5EV66CiL5EdIcu5GelD2UV8yCZxLn0phVH8hhA5iDJQ0lEZIAMlMgAO4cSsyo5psLvcxHDi+jKVRARn5B0S8yA2RVLwfpQVjEPkkmTS29acSSPAWQOkjyUREQGyECJDLBzKDGrkmOScp+LvmnuSI8YXkRXsxVEIlZnwy9zodBKwDxIZoQuvWk10+jn81OtNPzfXPjx9lUrPh9ub78HY6033r8bd8e/FKDfxkskd8cDaj0gc5AiuaYbMkAGyMBeBkrvHLiT2Zv+ExyUcp9LhCOi24iuTpBnLhmPgdBKwDxIJiqX3rSaafRSVT91fVNV33W9qdZ/Vl1XtzvdV6Venxj/MW0Vm4Vd/7S+aQ7s3uw2vfbfhVqqvY243PWmswrIHKRZAXAxMkAGzpYBz86BG/GzrZRYgUspoUT324huI7qKlTz6OQkDoZWAeZDMAFx602qmkeoH/tX1oqpe63pZ3f1ZFZ3Cc1WpxwAY/zFtFa6t/l21ao7v3uxze+3LUrUy7Bx6PiiQATJABjw7h/IJk7KxLZ/pE0eYaM8U0a0uRf1+YsK4/MkYCK0AFCMkMwiX3rSaa3RR3def1Uo1Dd9V9V9dv23Wl/fqAUT9sHn5d3XTdgoPm/vt07qqNptd57Azet+oVuNl81rXt5vdnzpoOod25uWT8vG6uVpfPaqG42FVLTabj91bs0ir3i3SvL1dtzN2YW/ZOcxVAFyHDJCBLBhg5zBKk6xb6Qgch/EYSJTo0E3ensASId2zIg+VwQAqB5IZmUtvWs01ulEfUXqpXhar+rX5yNJTVakHEBdfzdOFVVWtms7hplp+1dfNh5WqrnPQRp/NjHV1WX+0n3ZqIL/eNzOXja2Srhdr1XBcNqrm9bp7e1KOL6pV+wijWUTPwImsO4fGnZwXMgdJDjoiIQNkoGQG2DmMssvL8IiQUof5JDofpKXWSq5xoXIgmbG49KbVXKPmQ0ib6uu6+rmrlvWPerBQf19U6ksJapf/+PWuOoebaqWeQfw+VIufH6W9HRhdVK+/qiPYPqmpeK2rxWd923yBovm69Jv6dkT9e1utfn623Zt6uPFU/15Uj3qRZq3333V1Vddb9VKTdOcApxIkBAlJAi5iIANkoHwG2DmMcszL8IiQUof5JDohUvxgtdQ0n3VcqBxIJiEuvWk110g9LnhbXtSP1b+Vagr+VZX62NFdpT5z1DxL6B4WrNR3qGtloZRt5wCjTXX7r7qt3m+Mb0ism8aj8Vt/blZL9W1n9U2K4fcc1PybzeaiaRS6RdTbdWeiZqlGhJ1DQzhfZIAMkAEwwM4BXLSSrFvpCByH8RjIZ9OcsCSju86H1XiVJNcT0gvJROvSm1azjRbVRu3039X/1Uv9X/OAoL5XH0tqe4Suc1i032FA5wCjl2p5X31Xj4vmGxL9a62eW9TNV69/FtX6/q79+sSwc1DzV81LWTWPMNSrfWueebBz6FmkQAbIABkYMFB65+C9kxF2Kx2kiuKZMpCwJKO7ju7wTHMeJ2xkA5Lp2aU3rWYbXamf8j83Hw+qqi/1XWnVPtSXza9n7Tb16v+b5sNHw2cOMFKfO1pe1uo7C82vdu1f6nsO6ovTqgdRDxd+mk8rqbbivvs8U/um5r8p462aM+4ctA9+WkkzwXcyQAbIQMOAZ+fgvRE/Ncved0bvCaeOMLf1syuhkxOcsCSju47u8OTs5wwA2YBkxuPSm1azjR5Vy6AeKlyqr0arNa+qxZ3qJV71pl5t7bdX7Tem8cxhYKS+Cv2gPolk/iGItfpStPqaQ/vF6c2TMlGdg2okLq9+dm/X1cXD092FuizZO4e35nvVy7X+SxKzUXFoIWQO0qE5PE4GyAAZiMGAZ+eQ3UXKGzA3tjHKao8P74zs8VX2IV2K+j1BtNGTEd1hgqDzcxlaAcgGJDN6l960mm303rUMD+rLB2pN9W1p9auV1HMHPHOot5dN6zDoHGCkmoa35iNOxq9AUp9WulEfSFK/n0k5XaieQXUOW/W9BvVMo3tTX5RWr8t3vUi3VvNppe6lHLYGu6GYN41P/ekLMZgIhAyQgfNggJ3DeeRZTpSF3+dCN3mWBM3AVPQloju08HJ+qlBWMQ+SyZ5Lb1qdbLT9av6aw4HXXqPmQcKP6hvU6/er+U1Jf19qvv3AX1NBGmQOkiB4hEIGyEDBDLBzKDi5IkMr/D4XMbyIrlyVEH2J6A5dyM9KH8oq5kEyiXPpTauMR7uPIGUcgQM6MgfJYUo1GSADZCAqA+wcotJJZwcZKPw+FzG8iK5cWYn4hKRbYgbMrlgK1oeyinmQTJpcetMq49HVhfHhpYwjGUFH5iCNTDgkA2SADCRhgJ1DElrp1MmAlPtc9E1zF3HE8CK6cmYj9oFErMaGmZm/0ErAPEhm6C69acWRPAaQOUjyUBIRGSADJTJQeufAnYy0qpVyn0uEI6LbiK6kFQHxeDEQWgmYB8lc2KU3rTiSxwAyB0keSiIiA2SgRAY8OwduxEssglljklJCie63Ed1GdDVrhrlYbAZCKwHzIJnYXHrTiiN5DCBzkOShJCIyQAZKZMCzcyiRAjMmKRtbExVH0RlIdL+N6FaXon6PTgEdZsJAaAWgGCGZIbv0phVH8hhA5iDJQ0lEZIAMlMgAO4dRVnkZHhFS6jBRokM3eXtoToR0z4o8VAYDqBxIZmQuvWnFkTwGkDlI8lASERkgAyUywM5hlFVehkeElDrMJ9H5IC21VnKNC5UDyYzFpTetOJLHADIHSR5KIiIDZKBEBtg5jLLKy/CIkFKH+SQ6IdIET0hKrZcc40LlQDLjcOlNK47kMYDMQZKHkojIABkokQF2DqOs8jI8IqTUYT6b5oQlGd11PqyWWtfDuJBeSMPjde3Sm1YcyWMAmYMkDyURkQEyUCIDpXcO3jsZXoZLLPOsY0pYktFdR3eYdeZODR7ZgGRiculNK47kMYDMQZKHkojIABkokQHPzsF7I35qzryvqt4TTh1hbutnV0InJzhhSUZ3Hd3hydnPGQCyAcmMx6U3rTiSxwAyB0keSiIiA2SgRAY8O4fsLlLegLmxTVzm3hlJjEeue12K+j0B0ujJiO4wQdD5uQytAGQDkhm9S29acSSPAWQOkjyUREQGyECJDLBzKDGrkmMq/D4XusmzpGwGpqIvEd2hhZfzU4WyinmQTPZcetOKI3kMIHOQ5KEkIjJABkpkgJ1DiVmVHFPh97mI4UV05SqI6EtEd+hCflb6UFYxD5JJnEtvWnEkjwFkDpI8lEREBshAiQywcygxq6eI6fm/aat63uee/u11+/K69/Dg4FR8gykhomd4+5aI6Mq1TMQnJN0SM2B2xVKwPpRVzINk0uTQxzlZ4ngxAatRtEvCH885KZA5SDnhJ1YyQAbyZYCdQ765k4X89mEaHs/73PV+t7d301at6wbf/WCnPBCnuphi5xnePpcRXe1bJuqxRKxGxZifs9BKwDxIZvQO/fhkMSdNHU29JEz1t7OLdknwXFeWOTIHSRZCoiEDZKBUBkrvHLiTkVa5nve5qNuEm3uw4YkDE/dLEd1GdLUfM48KZyC0EjAPkhmqS6+shieLOenEo6iXhBPHEr48Mgcp3BtnkgEyQAamM+DZOXAjPp3aoi0/bi+vHn6bEF+v17ff6v351R7w283l5lMdevrv5fJK2Tx/qal3P0q4vPrv8IeNrh+6abVe8em/16vGT+egeeagHdrX11qF72W52mzUyi2kZYPo6upN4bh+10bHv0e8jUd0dXxc9HBCBkIrAfMgmWE49OOTpT19D5ws+gT1vyT0Z/DMlwSTisxGyBykzEIgXDJABjJlwLNzyDRKD9jsjSaR9fz8/nZ1pUxfFs9vNxeqh3D8iPJ18fz+uPiq6+vl5u25Ul+GuLh/f3v8rh8vXt9ulgc/bNRP0yteL2/fniq1139evLxdNw52Dg/gVvg+L2/+/dvWHaSlQnT79lDd3b3dL9oe6ICDaYcj3sZ1Ker3aQBoVR4DoRWAYoRksuPQj0+Wrwkniz5B87kkmFRkNkLmIGUWAuGSATKQKQPsHEaJ42V4RIh7+FuphuCi2dUsH52dw8WLOn53qzqHlRIe1vV3pX7qr16L17reXhzuHHbT2jnNiteXSrxWHztqPG8Xd73D1sL9X9PZdN1NB0l1Do2nZdP+XEz8drfbe38kdJPXO/grsCT/ckLNFAZQOZDMeQ79+GS5nXiy5HVJMKnIbITMQcosBMIlA2QgUwbYOYwSx8vwiBD78Pfxer2u3tS2XXUP9d2N3pWPrb+q+8dHZas2+02T8F5t6/XqQT0x+KqajzjdHO4c9DS9YtM01PcbtXLjoPHaOVSDva9+M7SDpDqHxtNV8w3sdYL9/l4wXgdZkl500bhnAJUDqT/YCg79+GRZTzhZ9AmazyXBpCKzETIHKbMQCJcMkIFMGWDnMEocL8MjQuzDy5v3r6/q364BuL92dQ6f1cOTeqnHA+0+/aP6rbevm8Xqe3Ln0Gzvm2l6xfb7kfc3auUfdWSjOofOoR0ntP1maAdJdQ5N03D1qP47285BdMeE3FEKYwAXM0imJ4d+fLK8TDhZ9Anandk5XBJMKjIbIXOQMguBcMkAGciUAXYOo8TxMjwixDr8aX7g/606h6167qC232r/3mw2/r5+lU33ulbdhfqKQTvYrh+27YEJ33PYTetX1J1Dt/JKraxeymH7vue/fjO0g/Q8YTO0x92MhxKWZHTXbEVmLIyDSyG9kMxJDv34ZFGN/6E2uz9B87kkmFRkNkLmIGUWAuGSATKQKQOldw7eOxlehqdU8rZ6qbfXzeb/dv1T/1epX55k7xzq25X6ONOX+nhSY/2zeqh/lPy7eq7vVh8/9+prCgdeelq/ou4c6s3lb/1S3fUODzhq8N1f/W4V5B2kg5uhAx7nOpywJKO7ju5wLpKLXAfZgGQG6tAHnCz9CZrPJcGkIrMRMgcpsxAIlwyQgUwZ8OwcvDfip6bF+6rqPeHUEZ5m/ZdquXheqM7h96q6WDRl4egctnfq+MVr842Ey4vqels/XFTLarOtt7eLi4fNwUcFeppqEroV+87h57K6uFafVvraOTxARIPv+2qhvpehIbFzqKNXe3SHB7LKw/sYQDYgmfYOfcjJok9Q/0uCPoPnviSYVGQ2QuYgZRYC4ZIBMpApA56dQ3YXKW/A2fVGJyq87Zf66X37+uklO5Tt109zQO3Tv5vvNC/rn69fbblqfvPSoVc7TX0i6c86uwNDh4d8dcd3kKYZn8xKl6J+TwDE+/Q4hCG6w0MLnsXx0ApANiCZhLn0A6vJJwtOUM9LQj08g090SRgEnIeIzEHKAzlRkgEykDsD7Bxyz2Au+Nuf8Cuw+j73+fr1eXuh249cojiIM3STZ3GsmbIciqWKvkR0h7EizdpPKKuYB8kkwqU3rRKN9CVBuy/0kqDDi/uOzEGKuwK9kQEyQAbsDLBzsPNCbWwGNk+dR32f+7perTbNQ4iyXjq8CFFFdOVCE32J6A5dyM9KH8oq5kEyiXPpTatEI31J0O4LvSTo8OK+I3OQ4q5Ab2SADJABOwPsHOy8UJuAgbZPaO9zp+0YsDqkWOFGvI1HdOWKLuITkm6JGTC7YilYH8oq5kEyaXLpTSuO5DGAzEGSh5KIyAAZKJEBdg4lZlVoTK8fClhzn/t49Ub4/dp/OcJ77nhCi6PZNAfgGPsajyPexiO6GqNMNo7eiiRDmpPj0ErAPEhm3C69acWRPAaQOUjyUBIRGSADJTJQeufAnYygqv1dq9ZB3ec+1gFdwMf6LtYTgqNwHOAz4m08oqsDoHlYNgOhlYB5kMxIXXrTiiN5DCBzkOShJCIyQAZKZMCzc+BGvMQimC2m++VH/Vx/LNUvSPV/fayW1+pvQcR4PSgcy/pjdRvDmekj4m08oisTI0eZMRBaCZgHyQzdpTetOJLHADIHSR5KIiIDZKBEBjw7hxIpMGNib2TyEXX0vVx9qA37MuzhwcdqtVy/xgD0vVx+LINx7EUQ8TauS1G/712XBwtmILQCUIyQTJpcetOKI3kMIHOQ5KEkIjJABkpkgJ3DKKu8DI8IiTq8Wa5eVsubQJ8f6/VyuXoM+KjTeMHNcrVZL6/G6gjj0E3enqVZknvI4aE9DKByIJnmLr1pxZE8BpA5SPJQEhEZIAMlMsDOYZTVZfPabf+e2wFHdR2VCfVRoeYV4FN1Heq1+hzlzH/4sV6qBxiRPvvkv7zfDO4M/PiitWYAlQNJH+veXXrTiiN5DCBzkOShJCIyQAZKZICdQ4lZlRvTpdr5X4bCi/fMob5SONahOGael3BnkOAJyczkcLk9DKByIJnmLr1pxZE8BpA5SPJQEhEZIAMlMsDOocSsyo3pv9Vy9V8gvHjfc6jr/9Tnnl4Dccw9LeHOILprtiJzV8e+9ZBeSKa9S29acSSPAWQOkjyUREQGyECJDJTeOXAnI6xqVecQiCji71ZSCNTHlQJxzD4t4c4guuvoDmdnu6QFkQ1IZnwuvWnFkTwGkDlI8lASERkgAyUy4Nk5ZLcR51VVWNU+66+N+OKK+PccmqWfl4++CE5ln7CGo7uO7vBUpBexLrIByQzMpTetOJLHADIHSR5KIiIDZKBEBjw7h+wuUtkBzqfIth/D1/YQ8J352+qtmXbQfOyu/RvSnkuOfbTjI3FYfaZR6jZdvydYJfrpEd1hgqDzcxlaAcgGJDN6l35n5XnCpTU3kYchtPrIUonMQcoyEIImA2QgOwbYOWSXMimAP5rfc9S/ut+XtAebp7nVkxQfVnCdMnSTZ3E5w44g+hLRHVp4OT9VKKuYB8lkz6XfWXmecGnNTeRhCK0+slQic5CyDISgyQAZyI4Bdg7ZpeykgNsf/XcIPpYv7/r1svtNq3uweZpbPUnxYQXXKSPexiO6cgGOvkR0hy7kZ6UPZRXzIJnEufQ7K88TLq25iTwModVHlkpkDlKWgRA0GSAD2THAziG7lJ0W8Mf6fvcXoD+W71v9ep/SOXiZW6P0XDKZD6vjThnxNh7RlQtwxCck0cN3YT5DfWglYB4kkz6XfmflecKlNTeRhyG0+shSicxByjIQgiYDZCA7Btg5ZJeyEwNWn0i4aT+alOk2wRO2L9sRb+MRXflGEWwfvRUJRlLSxNBKwDxIJi8u/c7K82RJa24iD0No9ZGlEpmDlGUgBE0GyEB2DJTeOXAnE70k1W9HXV2qv8mQ6TbBE7YvfRFv4xFd+UZBe1EMhFYC5kEyA3Ppd1aeJ0tacxN5GEKrjyyVyBykLAMhaDJABrJjwLNz4EY8uwzHB6xah+Vy9fTOTytZuI14G4/oygKUqnwYCK0EzINkRu3S76zStgKe3k3kYQitPrJUInOQsgyEoMkAGciOAc/OoYvvufuNOrs2giP9JwrOhIn+9ykNv7jQK92Cp7nVUTIfV0/evyjWerJHvI3rNl2/W9ej8gwYCK0AFCMkky6b/vN6cOp5nnBpzQe4IGLJeyjV6VzC1dhMljFC5iAZBhyQATJABhIxENQ5JMJCt/IZuH5TH1Mq8ZnD9/1tFPZDN3l7FufOYA85PLSHAVQOJNPcpm/O8d3L86lAWnMNynh3LBnrdDbWmn2w72KCzEGaHSAXJANk4CwZYOdwlmkPDlrdpQr9nsNW7A1YLLDgKuLEeRhA5UAyV7bpBzrHvtz0gVFac6wzkFxLyj2dB+APiYNM/DHFMUh/jKggA2SADCRggJ1DAlILdrlUX4wu9Hcrib0BJwS274eaBVfxuYSGyoFkxm7TD3SufbnppB+lNe+XGQrOJQdRDO2zkvfFgGOQsgqOYMkAGciWAXYO2abuJMCX5f49B7E34ITAortmK3KS09KxKNILyTS16Qc6577c9KJHac31Ksa7c8lBFMaEnAb7YsAxSDnFRqxkgAzky0DpnQN3MnFrc/n6qx1m+gdjTdi771Q2MYm9AScEFt11dIe62vgewACyAcl0Y9MPdObJ0v4ZF3O+OUprbq61G5lL5nA6W8OwKweZ+GOAY5D+GFFBBsgAGUjAQOmdA6+qcYtmwKf62NLgNWFXMbA+/CenrbA9l5zso41qEJp14smUCYFFdx3d4clYL2FhZAOSGZdNP9B5nnBpzU3ku5FtyTaAQRTWiTko98WAY5ByiIkYyQAZyJ8Bdg7553DOCAZ3qe3H8HXwd5p6mluDiuSjbWE68B3sNqpBaNbFZ1fq52X6PQGA6DFHd5gg6PxchlYAsgHJjN6mH+j6E27ZnC5Tz/HWOL65iXw3UggzOZ2t8PcrB5n4Y4hjkP4YUUEGyAAZSMAAO4cEpBbssoi71FJ9MskIpB0YmuAUhm7yLAvGAWRxDFX0JaI7BNYzlkJZxTxIJo02/VSd6WkwsjkYHB6Lnubj6e3JbPhoB4bmz5w8FPsuJogPUh5RESUZIAO5M8DOIfcMzou/iLtU+0PKIW9tVHFCi+OlBRfR1TDYoRx9iegOh2jPVg5lFfMgmSTa9FN1pqfByOZgcHgsepqPp9cpT+c/i4lRgDVIYsARCBkgA0UzwM6h6PRGD66Qu9QojHY40gVSF8dLu3hEV65g9v1Q0zVnr34GzHvXL/NgKKuYB8lkyKafqjM9DUY2B4PDY9HTfDxdjUce2uFIZ5mVtwrxQco7IqInA2QgFwbYOeSSKRk4i7hLpfwhZUSCIrqarXiityKzIZe8UGglYB4kM06bfqrO9DQY2RwMDo9FT/PxdD5z+MMIFWSADJCBlAyU3jlwJxO3eo69y8dFE+gt5fccIhIU0VUgUZwmg4HQSsA8SGZENv1UnelpMLI5GBwei57m4+kFf8/hT6gDBViDNDhMkQyQATKQjIHSO4dkxJ2p4yLuUnzmcKbVm2vYoWcd5kEyObDpbTqvn8B4Gde1p7kZgBqlPJ3/LCZGgSxBEgOOQMgAGSiaAXYORac3enCF3KVGYbTDkS6Qujhe2sX1jkq/ByLitOwZCK0AFCMkkwyb3qYzZ0kbjRC3w5FOGuSj8SA+SEc7pQMyQAbIwAQG2DlMIIkmPQOF3KXaH1MO/mviixNa6CavZ/ivEAfYX7/UlM4AKgeSGbNNb9OZs1KPfj4/+z9VP2WtwZncP4A4fRRTkO+32XcxQXyQ9nvjUTJABshAHAbYOcTh8Vy8FHyXEhuaWGDnUvTZxonKgWQGY9PbdOYs39HT+qaZsns7NPvfRVVV+zbNhxy0x+NHMWnZqEb7YsAxSFEXpzMyQAbIgIMBdg4OYqi2MlDwXUpsaAmBHb0/sxYJlUIYQOVAMqHZ9DadOct3dFetmim7t0OzX5Y37BxakvZlAscgHWKWx8kAGSADMRhg5xCDxfPxkfou9bq5Wl89qo8qPGxe/l1dPilmIaWlOXVowegTAovumq1IcJoTTER6IZnL2PQ2nTlr7wjnqz6ZH1bVYrP52L3Vb5vuFO/O7Jvm7e26PdW13y07h5aKfZnAMUiaP76TATJABlIyUHrnwJ1M3OpJfZe6XqzXVXVZ1+tqqT6zUN0PpbihjL2lDm283uRxQmDRXUd3OJklGv5lANmAZFrZ9DadOWvvCGeuPpnVGa1er7u3p6paXVQr9dOBdbVSsj7VB5dqdg4dw/sygWOQ9uaFB8kAGSADkRgovXPgVTVSoezcpObzU63zVlWfajux+Kxvq+pnIMUNZewtdWjj9SaPEwKL7jq6w8ks0fAvA8gGJNPKprfpBtt608Hf0bq62J25+mT+va1WPz/b7u27qp7q34vqsekcqsev91q1D++/6+qqrrfq1Thk59DRastEd2T4Cx32WWlrvpMBMkAG4jHAziEel+fgKfVd6nOzWqovSP5Tuwr1pcqPqnobSGkJTh2aN3q9W9Pv3g4OT4gec3SHh2M4A4vQCkA2IJl02fRTdaanfqSeOezO3P5kHn7P4V9V3Ww2F02jsG4eLqo9cHXdfQdCne5V1bQO7Bw6Nm2Z6I6wc9A88J0MkIH5GWDnMD/nOa+4714WIa6fRbW+v6uq/9SuYlPXX10PoaUIC+xxESe00E2eBVgcQBbHUEVfIrpDYD1jKZRVzINk0mjTT9WZnvpR2zk0Zy5O5mHn8J/6gFLzUif1urptZi2btzvVb7Bz6EnshH0XE2QJ0mg6h2SADJCBJAywc0hCa7FOE9+l1A8kf5pPKzWdg1rqpfvckpbSshontDhe2kgjunIxF32J6A5dyM9KH8oq5kEyibPpp+pMT/2oP3NxMt83J3Ndt2+fzXNE9Vjh52/n0LvgM4eeCqeALEFyGvMAGSADZCAiA+wcIpJ5Bq4S36XUTx03T+qr0U3nUF2qrzm035XWUlp+44QWx0sbaURXLub2/VDTNWevfgbMe9cv82Aoq5gHyWTIpp+qMz31I9U5dGcuTmb1E4DLq5/mBwHq7bq6eHi6u1ClN37msHPx1vyShOW6fR7Re/UWbFF4OxE8AfFBEgyX0MgAGSiIAXYOBSVzhlBS36UeqmqhNhjtp5XUb3VffTX7i81OShtfnNDieGkjjegqLXMD79FbkYHv8xVDKwHzIJks2vRTdaanfqQ6h9352p/MW/W9huqr7t7UF6XV6/Ld2TmozzO1Fr3HIMEWRZAjoZMQHyShUAmLDJCBwhgovXPgTiZuwSa/S/1+tb9dpf155I/qG7r9RSfFDWXsLU5ocby02CK6GsfKcVYMhFYC5kEyA7fpp+pMT/2o+bTS7nzVJ3N/rBO2X9/dSd4NbeuNZgQM03gNAJJoCuKDlGgpuiUDZIAMGAyU3jkYwXJwNAOz3aV2n2RQgCEdjX6vgzihxfHSAo3oam/gPCidgdBKwDxIZqw2vU3n8ROY9vermqvsH3n43u/IOGqLwjDIfID4IGUeEuGTATKQCQPsHDJJlBCYs92lri7UH4FrX5DSchAntDhe2kj1jkq/pw2f3uUyEFoBKEZIZpQ2vU1nzto7mut83Qti+FtLDxhmehhZgpRpKIRNBshAZgywc8gsYSeGW/BdKk5ooZu8PXmNA2zPAjxUKAOoHEhmqDa9TWfOymFUQhT7LiaID1IOeSFGMkAG8meAnUP+OZwzgoLvUmJDEwtszsLjWgEMoHIgmW5sepvOnJXDqIQo9sWAY5ByyAsxkgEykD8D7Bzyz+GcERR8lxIbWkJg+36oOWdZca0kDKByIJkL2fQ2nTkrh1EJUeyLAccg5ZAXYiQDZCB/Btg55J/DOSMo+C4lNrSEwKK7Zisy59l4aC2kF5I5x6a36cxZOYxKiGJfDDgGKYe8ECMZIAP5M1B658CdTNwaLfguJTa0hMCiu47uMG75npk3ZAOSSYFNb9OZs3IYlRDFvhhwDFIOeSFGMkAG8mNg+Hu0G/Sldw68qsat0YL5FBtaQmDRXUd3GLd8z8wbsgHJpMCmt+m8fgLjZVzXnuZmAM6RLQqnsdAD+2LAMUhCwyAsMlASAx+r5Rm+Rq0DO4eSSjp9LAXfpcSFpndU+j1BdqPHHN1hgqDzcxlaAcgGJDN6m36qzvQ0GNkcDA6Pxe4uvIvxufDROPi9431E4hikvc54kAyQgQgMfKw/InjJy8XHenyVYeeQVwZPjXZcP6fGE3H9OKGFbvIsgcQBZHEMVfQlojsE1jOWQlnFPEgmjTb9VJ3paTCyORgcnkcUAeJPqH6Xh33WiA/Sn+WoIANkIC4D59k4fIyvMuwc4pZV6d7G9VNQvHFCi+OlpTWiK1eaoi8R3aEL+VnpQ1nFPEgmcTb9VJ3paTCyORgcnkcUAeJPqPFQwROkP8tRQQbIQFQGzrRxqMdXGXYOUcuqeGfj+iko4DihxfHS0hrRlStN+36o6ZqzVz8D5r3rl3kwlFXMg2QyZNNP1ZmeBiObg8HheUQRIP6EGg8VPEH6sxwVZIAMxGTgXBsHdg4xq+gMfRV8l4oTWhwvbWVFdDVbpUZvRWZDLnmh0ErAPEhmnDb9VJ3paTCyORgcnkcUAeJPqPFQwROkP8tRQQbIQEQGzrZxOLvOgTuZiKeNclXwXSpOaHG8tEmL6CpuEdDbzAyEVgLmQTKh2/RTdaanwcjmYHB4HlEEiD+hxkMFT5D+LEcFGSAD8Rg438bhz86v9E8rxSsaemoYKPguFSe0OF7aYovoisWbNQOhlYB5kEwibHqbzusnMF7GJp54I1sU8byHeoqHCp4ghaLiPDJABg4zcMaNw5+dHzuHw/VCCzBQ8F0qTmhxvLSE6w2YfkcWKJ0XA6EVgGKEZDJn09t05qwcRjKjiIcKniDlkBdiJAOZMnDOjQM7h0yLVgrsgu9ScUIL3eTtSXAcYHsW4KFCGUDlQDJDteltOnNWDiOZUfhdHvZZIz5IOeSFGMlAngycdePAziHPohWDuuC7lNjQxAITU5UEYmcAlQPJtLTpbTpzVg6jEqLYFwOOQcohL8RIBvJk4Az/bvRy2f/Ru/FVhp9WyrOKT4V6XD+nwpFgXbGhJQS274eaCSimy3kZQOVAMhHY9DadOSuHUQlR7IsBxyDlkBdiJAN5MnCO5xlihtRlj51DnlV8KtTj+jkVjgTrig0tIbDortmKJKjMYJdILyTTmU1v05mzchiVEMW+GHAMUg55IUYykCcD53ieIWZIXfZK7xy4k4l7lo7rJ673k3oTG1pCYNFdR3d40pLIfXFkA5IZk01v05mzchiVEMW+GHAMUg55IUYykCcD53ieIWZIXfZK7xzG8eZZs3JQF8yn2NASAovuOrpDOaWfIRJkA5IZhk1v03n9BMbL2MQTb2SLIp73eTztiwHHIM2DiquQgXNk4BzPM8QMqcs9O4dzPAfCYx7XT7gncTPFhaY3YPo9AWPRY47uMEHQ+bkMrQBkA5IZvU0/VWd6GoxsDgaH5xFFgDgy1H0x4BikI5fjdDJABpwMTDvPvv7913+r2Onq4IHX24e6/v786gwfb19tMz7168d2FJO+P3Ec2sY/9A4JMUPqTNk5OCij2srAuH6sRnkq44QWusmzcBYHkMUxVNGXiO4QWM9YCmUV8yCZNNr0U3Wmp8HI5mBweB5RBIg/ofpdHvZZIz5If5ajggyQgUgMTDnPPtaVel28H7vkXbWq6+vqovOzrm5tDhfNWs3ryXYUkzYLHG+1T+ubRjPUw8KQEDOkzoCdg0EUBwcYGNfPAfOcDscJLY6XlreIrlx5iL5EdIcu5GelD2UV8yCZxNn0U3Wmp8HI5mBweB5RBIg/ocZDBU+Q/ixHBRkgA5EYmHCefaht/M3DZvF67JJm5/Bmf4xxfXm5rKrLy8v/bMvt6Rxa7+wcbKz1ugnZ7m0pHGagYD7jhBbHS5uIiK5cid33Q03XnL36GTDvXb/Mg6GsYh4kkyGbfqrO9DQYqV98vius5+53oJ9ipKKYY/VB2FNEG7dT5v21gSdIf62oIQNkIA4DE86zy6pqHjdsv+v6bbO+vFfv9cPm5b+rq7f66fJGfYzJHNWvm6v11eNvq3+7vmwfHjxdXv0zOwc1ybBQvttJSllV3UeV+uX6hUedw/vt5eXtV91oH1bVYrP54DOHfXUxIdv7pvPYiIGC+YwTWhwvLesRXY2ymG4YvRVJBzUjz6GVgHmQzLBt+qk605O0kS2K+Bh9V/G1dyOGJ0huax4hA2TgOAYOn2ffVbXZrfFUVerDRBfqiwqr6qL5RNG1+rf4GY3q68Vafb7pslY7evX4oKrU/fO+eV/+/bQSLJ6qanVRrVS/0XcOSrVbrpfQObzeq5+iKKeL6r+2c2g/UVW91o3+wAsxQ+qmlP5pJe5kDpSG5+Fx/XhOl2weJ7Q4XlqeIrqSzDuxHWQgtBIwD5K5mE0/VWd6kjayRREfo+8qvvZuxPAEyW3NI2SADBzHwOHz7L3/ysFP00N8X1Tq+wTqB/yfX00ToT7K9Doa1c13lN+q6lPt6Kv333V1Vbczvxa2zgEWT/XvRfWo5u6eOWA5SOgclJ1SX/3WX90zh9/bavXzs1Xqgy/EDKmbVHrncJAaGngxMK4fr8myjeOEFsdLy1REV7KZJ7oDDIRWAuZBMpey6W26/H4CY4vCjD3GyHcVX3s3RniC5LbmETJABo5j4PB5pjqHx26Nf1WlPpp0Vy2azkG1DxfNd5ybvsIc1Z+b1VI9kvinOofrxn7V9BFq5o2tc9hZKN83m82F6jL6zgHLQTI6B6XuvrXdanffc5hAB2KG1E1j5zCBPpr0DIzrpz+QvxAntDheWjb1bk2/508xIwhjILQCUIyQTAQ2vU1nzsphNE8Uvqv42ruZhidIbmseIQNk4DgGDp9nv+pDSd0a/zXPEZoPHjWdg2oaLir1W1a7zmE4+llU6/u7avcpItU5LGu1x1cz1VOB8e9W2u35l7XyvWpezQejds8csBwko3Po1GoCO4fjioCzAxk4fPYEOj79tDihhW7y9sQfB9ieBXioUAZQOZDMUG16m86clcNonih8V/G7POyzxsqQcsgLMZKBPBmYcJ7dVJX6LnOt/s5CK1xW6/2dg2oTfpqnDN33D9rOQX2wSZ32qz2dg/L9phbZNl+N3nUOWA6S0Tko9WMzp+sc7lWHMu0FO0jdTD5zmMYgrToGxvVTEC9iQxMLrKDklxkKKgeSGalNb9OZs3IYzRPFvr398SztiwHHIB2/Ij2QATJgZ2DCeaa+2VAtr1fq+wxX1eLuqvliw95nDuqrD5sn9dXoQeegZla36nc0tc8c1Neamy1/2wTsnhYoFOrvPDw83V001x79u5WwXC8ZnYOaU13fq1/f2mpf1Jeyr6x/Pm4cOWKG1NmwcxhzxfE+Bsb1s882s2NiQ0sILO3GJ7MCKA8uKgeSGaVNb9OZs3IYlRDFvhhwDFIOeSFGMpAnA1POs5/b5s+zXX3Wvxv1ftE8gNj3aaVm579Q+/hh5/C9Vt9j2H1aqWkc1OecRp2D+oazel02X1zQnQOW6yWzc9iqz0Q1zypa7VZ9S6La/X3q/blAzJC6Gewc9jPHoyYD4/oxj2Y9EhtaQmDRXbMVkXQOIL2QTHw2vU1nzsphVEIU+2LAMUg55IUYyUCeDEw8z76/ut9atP1q/prDodfvznpo93XwcYDyPf7VSFgO0tBpvf2yLGVYWAaIGVJnVnrnwJ2MpRyOUI3r5whX0qaKDS0hsOiuozuUViVZ4UE2IJkB2PQ2nTkrh1EJUeyLAccg5ZAXYiQDeTJwjucZYobUZa/0zmEcb541Kwd1wXyKDS0hsOiuozuUU/oZIkE2IJlh2PQ2XX4/gbFFYcYuf7QvBhyDJD8iIiQDuTJwjucZYobU5Y+dQ651fBrc4/o5DYokq4oLTe/W9HuCqKPHHN1hgqDzcxlaAcgGJDN6m36qzvQkbWSLQhrGQ3j2xYBjkA7543EyQAZCGTjH8wwxQ+r4Y+cQWkfnOW9cPwWxECe00E2ehcg4gCyOoYq+RHSHwHrGUiirmAfJpNGmn6ozPUkb2aKwYXz+z6b11U31svfy8PRvtOzI+uV1cBzxQRocpkgGyEBUBhzn2dRTfz+WKF7+XEBGaxoXkNEx+xAxQ+os2TnYGaPWzsC4fuxWWWrjhBbHS0tgRFeuhERfIrpDF/Kz0oeyinmQTOJs+qk605O0kS0KG8Zb9Sea7kdbdJudXacnNl6mvPaiuj7g5PZusAQ8QRocpkgGyEBUBhzn2XEXEI1w6gVE21vfvS4gVg9jJWKG1NmwcxhzxfE+Bsb1s882s2NxQovjpaUuoitXKvTGx3XcWz8DZm9M+U8IZRXzIJls2PRTdaYnaSNbFC6MN/euI4f0Pqs0vvbae9344QnSIbQ8TgbIQCgDe86z8AtIKBjrPK8LiNXDWImYIXU27BzGXHG8j4Fx/eyzzexYnNDieGmpi+hqtlREb0VmQy55odBKwDxIZpw2/VSd6UnayBaFDePza/2yXG026jchvt1cbj7r+um/l6urt/r58rr5jem218ft5dXDb3Nkeb2+bX75ovJife1cNj4vr5TN8ktNvVNrPV9e/Tf+8MD1Q2dU9/6f/nu9aqZ19nzmYOWYSjIwBwOOK8pxF5BXzwtIHe0CMokyxAypm1h658CdzKQCmWw0rp/JE+UbxgktjpeWrYiu5LNPhHsYCK0EzINkLmPTT9WZnqSNbFHYMKofF35e3vz7t61fF8/vj4uv+np5+/ZQ3d293S/a7uDvrOfn97erK6V/WT6/3VwoK8cPHbVL5XPz9qz+4NPy4v797fG7frx4fbtZDj99pLxpo7r330B5qlQD87x4ebs27BEfpL9IqSEDZCAOA47z7LgLyMLzAlJHu4BMIgUxQ+omlt45TKKHRpMZGNfP5InyDeOEFsdLy1ZEV/LZJ8I9DIRWAuZBMpex6W263U9gnpftq8yR+ouvKr7b+vpScbRsGoOLPd+e/m3+COtFw9Xy0dk5tH9E9u5WNQUrZfiwrpeVet6gXovXut5ejDuHnVFr0fpvoVyrz1I1jraLoT2yBKmdyP/IABlIwIDjPGt+aND94ECf7T4XkOZS6nMB+Y52AZnEEGKG1E1k5zCJQBrtGBjXT0HExAktjpeWVv28TL8XxDVD8WIgtAJQjJDMhW16m86clcNoahT9jf+run98fFyu62anXl8131ZeO4j/fbxer6u3+rtqVrm70VuHMS+dy+u16hyaTf97tV2uVw/qEcJX1XzE6WbYCaixNqq1/w7K/UYt1Ni3x9V7+0J8kPQxvpMBMhCbAcd5NrqAqLPd5wKifvzgdQGpo11AJtGDmCF1E9k5TCKQRjsGxvVTEDFxQnPsNY7hKQ6wYxBwbp4MoHIgmZHY9DadOSuH0dQo+hv/Z/Xw9PS0fKnb7xlePaogXZ3D5c3711f1TzUAzSr3167OoXP5pJ4XtJuJj+r3efu6Way+HZ1D07Ioo1r7f26h3N+ohX7Uoc2w00B8kJQNX2SADCRhwHGejS4g6mz3uYA0PxHwuYDUXheQDor9AjKJI8QMqZvIzmESgTTaMTCun4KIERuaWGAFJb/MUFA5kMxIbXqbzpyVw2hqFP2N/1e1AuqTA2qX3zxu2Nc5/DRPAL6V+bZq9vJX6r/Gy99X57LRX6vuQn2RojXZrh+23VrDTmBg1Ptf6s5hqx5w1PVqaI/4ILXu+R8ZIAMJGHCcZ6MLiFrY5wLSnNfpLiB952C5gExiCDFD6iayc5hEII12DIzrpyBixIaWEFiCJyQFVUT2oaByIJlB2fQ2nTkrh9HUKJob//3V77aub1fqowPL98M3/m31Um+vm83/7fqn/q9Sv4/J3jl0Lr/Ux5Ma65/VQ/2j5N/Vc323+vi5N763oDjVRr3/vnOoN5e/9Uvbp2juER8kfYzvZIAMxGbAcZ6NLiDqbD/YOfQneOoLSN85WC4gk+hBzJC6iewcJhFIox0D4/opiBixoSUEFt01WxFJZwTSC8nEZ9PbdOasHEZTo2hu/N9XC/V95+1ddbG4eD1841d7+OXieaE6h98rNaWpeUfnoF2qryhcXlTX2/rrolpWm229vV1cPGxGf/lNG/X+0Tn8XFYX1/y0Ug6FR4yFMuC4oki+gKBz+HsBmZQlxAypm1h658CdzKQCmWw0rp/JE+Ubig0tIbDorqM7lF83ghEiG5BMuDa9TWfOymEUEsX262daaNsv9Yyiff30kn3mzqX6MeR385Hmuv75+tWWK/UFiNFrZ7TzP4xhd6S3xzFI/UEKZIAMRGZgwnkm7QIyZGB8ARkec8qIGVJnXHrnMI7XSREPTGKgYD7FhpYQWHTX0R1Oqkoa2RlANiCZlja9TWfOymEkK4r2AwwD2j5fvz5vL3T7MThgiPtiwDFIxmQOyAAZiMjASc+zsAvI0dEjZkidU3YOR5N7Vg7G9VNQ8OJC08/L9HsCrqPHHN1hgqDzcxlaAcgGJDN6m96mM2flMJIVxebJ5OzrerXadA8hzAPGaF8MOAbJmMwBGSADERk46XkWdgE5OnrEDKlzys7haHLPysG4fgoKPk5ooZs8C5FxAFkcQxV9iegOgfWMpVBWMQ+SSaNNb9OZs3IY+UeBjTykPZHCCNIe87q1ai8PU+wPWiM+SPuW5zEyQAaOYeAczzPEDKnjkJ3DMbV0fnPH9VMQA3FCi+OlpTWiK1eaoi8R3aEL+VnpQ1nFPEgmcTa9TWfOymHkH8Xrxy6uj9cpAbbmTScwzbxu7RtUk+wPgkF8kKbApg0ZIAMhDJzjeYaYIXXcsXMIqaHznTOun4KYiBNaHC8trRFdudIU8QlJt8QMmF2xFKwPZRXzIJk02fQ2nTkrh5F/FL/rrnV4X/ffYd4XaGuuVploXmv7j0nuNRinNeKDtA8uj5EBMnAMA+d4niFmSB2H7ByOqaXzmzuun4IYiBNaHC8trRFdzZam6K3IbMglLxRaCZgHyYzTprfpzFk5jAKiuFl91M/1+3L0y1Jd0Tbmy/ptqnn9sGzsP5a3LoeGvvGunk84vSM+SIYDDsgAGYjIwDmeZ4gZUkdp6Z0DdzIRTx3lalw/cb2f1Fuc0OJ4aYmI6OqkxHLxYxkIrQTMg2RiseltOnNWDqOAKN6Xq4/l+3I55XsIioLW/G2yef29XH4sP1YT3b8pMKpxcFojPkg55IUYyUCeDJzjeYaYIXXZK71zyLNG5aIe149cpN7I4oQWx0sLPqIrbzI4QRIDoZWAeZDMuGx6m86clcMoJIr1ar1ZXk57JqA48DRXf1F6uVktryayt1qvX5ZrJxjEB2miZ5qRATLgzcA5nmeIGVJHHDsH7wI66wnj+imIjDihxfHS0qqfl+n3grhmKF4MhFYAihGSubBNb9OZs3IYhUTxsrxcLi/1F6UPRulpXn+sl+r1ftBvZ/C8vN4HBvFBmuiZZmSADHgzcI7nGWKG1BHHzsG7gM56wrh+CiIjTmihm7w9RMYBtmcBHiqUAVQOJDNUm96mM2flMAqKYqX26tfTo/M0r69U47Ce7L4xdoNBfJAmu6YhGSADngyc43mGmCF1tLFz8CyfMzcf109BdIgNTSywgpJfZiioHEhmpDa9TWfOymEUFMXDcnn93/ToPM3r/9QjjZfJ7u+Xyys3GMQHabJrGpIBMuDJwDmeZ4gZUkcbOwfP8jlz83H9FESH2NASAkvwhKSgisg+FFQOJDMom96mM2flMAqKYrtcT38mUNee5uqbEcvVdO5+l6s9YBAfpOm+aUkGyIAfA+d4niFmSB1r7Bz8qufcrcf1UxAfYkNLCCy6a7Yiks4IpBeSic+mt+nMWTmMwqLYLL0q2NO8fnb+klUbpTf7wCA+SDYn1JEBMhCDgXM8zxAzpI7L0jsHr/tAjPIq3Me4fgoKV2xoCYFFdx3dYUEFNn8oyAYkE4VNb9OZs3IY+Uax/Whe/1Zv7fv2UIhB5h9vnfuJ3v/bBwbxQToEmsfJABkIZeDAedZdEdqrh/pv4ikuxNxJCWKG1BmX3jmM43VSxAOTGCiYT7Gh6Z88Pje/mWUZdbSM7bMhMbbPpjCP8zmptAs0QklDMsO06W06c1YOI98o1J9OGLwO/n6lk5sjPkg55IUYyUCeDBw4z05+RRiy6glmONWQETOkzoCdg0EUBwcYGNfPAfOcDosLbYbnZdFjju4wRgWJBOUTWGglIHBI5ro2vU1nzsph5BvFx/LlXb9e1F97PvA6uTnig3QAMw+TATIQzMCB8+zkV4RhYJ5ghlMNGTFD6gzYORhEcXCAgXH9HDDP6XCc0EI3eRam4gCyOIYq+hLRHQJruBQxJ+EgjpkZyirmQTJx2PQ2nTkrh5FvFOqvR2/1631K53Bic8QHKYe8ECMZyJOBA+dZbheQSUlAzJC6iewcJhFIox0D4/opiJg4ocXx0tIa0ZUrTdGXiO7Qhfys9KGsYh4kkzib3qYzZ+Uw8o0itxs/4oOUQ16IkQzkycCB8yy3C8ikJCBmSN1Edg6TCKTRjoFx/RRETJzQ4nhpaY3oypWm6D+NnwGzK5aC9aGsYh4kkyab3qYzZ+Uw8o0itxs/4oOUQ16IkQzkycCB8yy3C8ikJCBmSN1Edg6TCKTRjoFx/RRETJzQ4nhpaY3oarY0RW9FZkMueaHQSsA8SGacNr1NZ87KYeQbRW43fsQHKYe8ECMZyJOBA+dZbheQSUlAzJC6iaV3DtzJTCqQyUbj+pk8Ub5hnNDieGnZiuhKPvtEuIeB0ErAPEjmMja9TWfOymE0KYrP68HvUxp+cWGgdoknML96wi97RHyQcsgLMZKBPBmwnWcZX0AmJQExQ+omlt45TKKHRpMZGNfP5InyDeOEFsdLy1ZEV/LZJ8I9DIRWAuZBMpfZ6b9ff6F32cIiB2lSFNdvfSg5/Mjw+/62x4v4IPUHKZABMhCZAdt5lvEFZBI7iBlSN5GdwyQCabRjYFw/BRETJ7Q4Xlpa+bysoOo6KpTQSkAxQjKBaP3H+u5bH9E6Pc7zfVIUA6McOod6C8A2Kc9METUZyIEBnHFAO9DldgFBEHskxAepM2fnsIc2HvrDwLh+/hjkq4gTWugmL1/e5CM/25ygpCGZ6er1H6vl9Xt3rNeZppmNJkUxMMrixl8DsE3KLEWESwYyYgBnHEAPdLldQBDEHgnxQerM2TnsoY2H/jAwrp8/BvkqCg4t36REQX62mUXgkExGoVetw3L92hyFzrTNazQpioFRbjd+QIeUV4aIlgzkxIDtPBvocruATKIe8UHqJrJzmEQgjXYMjOunIGIKDs2ZpfP4afw5ZrZNOQKHZNbCQP+xVr3D6un3bDsHsX9Devcd7SZzyJdNMnPLERkgA/EYwBkHnwOd559tntPcegFBEHskxAepM2fnsIc2HvrDwLh+/hjkqXjuzq3dRvp8Rk06o0a76fIf1efZZaXhMAqDy95Le972ozZJ1pHqHT7LOMcnRTEw+jB+h9JHV8fu/+c3b7ECsE1yw+URMkAGjmMAZxz8DHTzXxEA449kA9NiHQD+M8migDmkzqz0zuE8fqhqSXki1bh+Ei1zCrcFh+akM3rM0R06oXscEAnKA3+wKQKHZDob6M/8mcP2Y/jCbz81+epHyc3bRqaD1IFpU4V82aQeHQUyQAYiM4AzDo4HuuRXhMH1acrl6dAFBEHskRAfpM689M5hHO8eknhoAgMF81lwaM7ERo85ukMndI8DIkF54A82ReCQTGfQn/v3HExeTj9aqk8mITsKTzuAxiadHjURkIFSGcAZhwhtOhw9qXToAjIJHOKD1E1k5zCJQBrtGBjXT0HEiAtthudl0WOO7jBGgYkE5RNYaCUgcEjmur3+7H+3ksnL6UftjwyHMNpU9fkadBXQDc0pkwEyEJMB23lm08Vc8whfhy4gk1wjPkjdRHYOkwik0Y6Bcf0UREyc0EI3eRYi4wCyOIYq+hLRHQJruBQxJ+EgjpkZyirmQTJxaD3/noPJi4SRzs0OSzuEziZJQE0MZKBMBnDGIT6bDkdPLI3AtcOR7hBCmEPq5rBzOMQdjw8ZGNfP8FjmcpzQ4nhpqYzoypWa6EtEd+hCflb6UFYxD5JJ3E5/rn9D2kWLSdJJRod+ZAjokE4ClIuSgbNgwHae2XRCyDh0AZkEE/FB6iayc5hEII12DIzrpyBi4oQWx0tLa0RXrjRF/2n8DJhdsRSsD2UV8yCZNNn0Np05K4fRpCgmGZ0m2kMfUwZ0SKdBylXJwDkwYDvPbDohXBy6gEyCifggdRPZOUwikEY7Bsb1UxAxcUKL46WlNaKr2dIUvRWZDbnkhUIrAfMgmXHa9DadOSuH0aQoJhmdJtpDPzIEdEinQcpVycA5MGA7z2w6IVwcuoBMgon4IHUTS+8cuJOZVCCTjcb1M3mifMM4ocXx0rIV0ZV89olwDwOhlYB5kMxlbHqbzpyVw2hSFJOMThXtCFw7hM4mnQop1yUD5TOAMw6x2nQ4emJpBK4djnSHEMIcUjen9M7hEDM87sfAuH78Zou2jhNaHC8tURFdiSae4A4xEFoJmAfJXMumt+nMWTmMJkUxyehU0bY/NBz81+AAYJt0KqRclwyUzwDOOMRq0+FouPR4+xo+Wc8cXDv6BxCegGEOqXPPzkHTzPcpDIzrZ8qcTGzihBbHS0sZn5dlUjnJYYZWAooRkgnWprfpzFk5jCZFMcnIJ9qn9Y2PubctANskb3ecQAbIwEQGcMZhgk2Ho+HSurqt6xQXE0/AMIfURcXOITy75zhzXD8FcRAntNBNXkFEigvlbHOCkoZkZsemt+nMWTmMJkUxycgn2rtq5WPubQvANsnbHSeQATIwkQGccZhg0+FouNR2DikuJp6AYQ6pi4qdQ3h2z3HmuH4K4qDg0ArKUkgoZ5tZBA7JJNCmt+nMWTmMJkUxyWhCtF93l5fXD7/1w6pabDYf9dtmffX4qyY+bF7+XV0+TXAxzQSAbdI0H7QiA2TAnwGccZhr0+FogPR+e3l5+1U3nYO+mAR4cU/xBAxzSJ1zdg5uknnkLwPj+vlrka2m4NCcOTmPn8afY2bblCNwSGYt2PQ2nTkrh9GkKCYZHY7296JarhdVc8NvXq9PVbW6qFaqdVhXy0Zzf9jHNAsAtknTfNCKDJABfwZwxmGuTYej/tKzulgsqv/azmF3MfF3sm+GJ2CYQ+rcs3PYRzOPjRkY18/4eMbjgkNzZiV6zCJbkehROvkUdgCBQzIh2vQ2nTkrh9GkKCYZHY72o1ps6/rjt/69rVY/P99V9VSrbuKx6RwWn/VtVf0cdjLJAoBt0iQXNCIDZCCAAZxxmGzT4ai39FNVV7/1V/fMobuYqAtLzJcnYJhD6uCU3jmI3MnErISZfY3rZ+blUy5XcGhO2qLHHN2hE7rHAZGgPPAHmyJwSKYzm96mM2flMJoUxSSjw9GqG/7F1f27Mmw/mvyvqm42m4vqqukc1DemP6rq7bCTSRYAbJMmuaARGSADAQzgjMNkmw5HvSV15WiuIs11Q31Dmt9z8CYw3oTImY0HLFNPBfNZcGjOYosec3SHTugeB0SC8sAfbIrAIZnObHqbzpyVw2hSFJOMJkT7fr1QHzP4t7vZ/6c+rNS8Ns0OQP331R6a4OawCQDbpMPzaUEGyEAYAzjjMN+mw1FvSV05PttJ7By8uYs8IXJmI6PLz13BfIoLbYbnZdFjju4wxikiEpRPYKGVgMAhmeva9DadOSuH0aQoJhlNi/ZnXd3V9X2lXH52zxi26iNK6nsOdf2i9wPTPO2zAmCbtG8mj5EBMnAMAzjj4MWmw1FvSV05HtWkbffMob2YePvYP8ETMMwhdQuU/mmlcbz7aeXRQwwUzGec0EI3eRbi4wCyOIYq+hLRHQJruBQxJ+EgjpkZyirmQTJx2PQ2nTkrh9GkKCYZHY72a3n//NR+r0E1CZdXP9fVxcPT3YWqO/Utx0v1NYfLwz6mWQCwTZrmg1ZkgAz4M4AzDnNtOhz1l66r6vr+svuGdPMTB3Ux8Xeyb4YnYJhD6tyzc9hHM4+NGRjXz/h4xuM4ocXx0tIY0ZUrLdGXiO7Qhfys9KGsYh4kkzib3qYzZ+UwmhTFJKPD0f6sml+gtFFfZtyqrzdUX+q7jep1qT6yrD6tdKM+u/R12Mc0CwC2SdN80IoMkAF/BnDGYa5Nh6P+0vauuXK8dc8cuouJv5N9MzwBwxxS556dwz6aeWzMwLh+xsczHscJLY6XlsaIrlxpif7T+Bkwu2IpWB/KKuZBMmmy6W06c1YOo0lRTDKaEu3v15fxS1C2X9/tuPm88k+0vqGuAdgmTUFKGzJABkIYwBmH2TYdjoZI29GVJMTHnjmegGEOqfPOzmEPyzz0h4Fx/fwxyFcRJ7Q4XloWI7qaLSvRW5HZkEteKLQSMA+SGadNb9OZs3IYTYpiktEx0bbfdDzGwWguANukkTGHZIAMRGMAZxxc2nQ4KlDyBAxzSF1UpXcO3MnErd5x/cT1flJvcUKL46UlIqKrkxLLxY9lILQSMA+SicWmt+nMWTmMJkUxyeiYaK8uov0RuBYGANukY5ByLhkgA/sYwBkHK5sORwVKnoBhDqmLqvTOQWDusoY0rp+sgzHBxwktjpcWWURXZqQcZcZAaCVgHiQzdJvepjNn5TCaFMUkI0nRArBNkoSUWMhAWQzgjENcNh2OCpQ8AcMcUhcVOweB2RUMaVw/gqH6QosTWhwvLXY+L/NNYan2oZWAYoRkcmTT23TmrBxGk6KYZCQpWgC2SZKQEgsZKIsBnHGIy6bDUYGSJ2CYQ+qiYucgMLuCIY3rRzBUX2hxQgvd5Pmipf10Bs42JyhpSCZtNr1NZ87KYTQpiklGkqIFYJskCSmxkIGyGMAZh7hsOhwVKHkChjmkLip2DgKzKxjSuH4EQ/WFVnBovlQUZn+2mUXgkMzc2vQ2nTkrh9GkKCYZSYoWgG2SJKTEQgbKYgBnHOKy6XBUoOQJGOaQuqjYOQjMrmBI4/oRDNUXWsGhOak4j5/Gn2Nm25QjcEhmLdj0Np05K4fRpCgmGUmKFoBtkiSkxEIGymIAZxzisulwVKDkCRjmkLqo2DkIzK5gSOP6EQzVF1rBoTmpiB6zyFYkepROPoUdQOCQTIg2vU1nzsphNCmKSUaSogVgmyQJKbGQgbIYwBmHuGw6HBUoeQKGOaQuqtI7B5E7GYEFNRXSuH6mzsvAruDQnOxHjzm6Qyd0jwMiQXngDzZF4JBMZza9TWfOymE0KYpJRpKiBWCbJAkpsZCBshjAGYe4bDocFSh5AoY5pC6q0juHcbwCc5kVpIL5LDg0Z4lFjzm6Qyd0jwMiQXngDzZF4JBMZza9TWfOymE0KYpJRpKiBWCbJAkpsZCBshjAGYe4bDocFSh5AoY5pC4qdg4CsysY0rh+BEP1hSYutBmel0WPObpD3yza7EWCsgF16UIrAYFDMtew6W06c1YOo0lRTDKSFC0A2yRJSImFDJTFAM44xGXT4ahAyRMwzCF1UbFzEJhdwZDG9SMYqi+0OKGFbvIsaOMAsjiGKvoS0R0Ca7gUMSfhII6ZGcoq5kEycdj0Np05K4fRpCgmGUmKFoBtkiSkxEIGymIAZxzisulwVKDkCRjmkLqo2DkIzK5gSOP6EQzVF1qc0OJ4abFHdOXiIvoS0R26kJ+VPpRVzINkEmfT23TmrBxGk6KYZCQpWgC2SZKQEgsZKIsBnHGIy6bDUYGSJ2CYQ+qiYucgMLuCIY3rRzBUX2hxQovjpcUe0ZWLi+g/jZ8BsyuWgvWhrGIeJJMmm96mM2flMJoUxSQjSdECsE2ShJRYyEBZDOCMQ1w2HY4KlDwBwxxSFxU7B4HZFQxpXD+CofpCixNaHC8t9oiufLkIto/eigQjKWliaCVgHiSTF5vepjNn5TCaFMUkI0nRArBNkoSUWMhAWQzgjENcNh2OCpQ8AcMcUhdV6Z0DdzJxq3dcP3G9n9RbnNDieGmJiOjqpMRy8WMZCK0EzINkYrHpbTpzVg6jSVFMMpIULQDbJElIiYUMlMUAzjjEZdPhqEDJEzDMIXVRld45CMxd1pDG9ZN1MCb4OKHF8dIii+jKjJSjzBgIrQTMg2SGbtPbdOasHEaTophkJClaALZJkpASCxkoiwGccYjLpsNRgZInYJhD6qJi5yAwu4IhjetHMFRfaHFCi+Olxc7nZb4pLNU+tBJQjJBMjmx6m86clcNoUhSTjCRFC8A2SRJSYiEDZTGAMw5x2XQ4KlDyBAxzSF1U7BwEZlcwpHH9CIbqCy1OaKGbPF+0tJ/OwNnmBCUNyaTNprfpzFk5jCZFMclIUrQAbJMkISUWMlAWAzjjEJdNh6MCJU/AMIfURcXOQWB2BUMa149gqL7QCg7Nl4rC7M82swgckplbm96mM2flMJoUxSQjSdECsE2ShJRYyEBZDOCMQ1w2HY4KlDwBwxxSFxU7B4HZFQxpXD+CofpCKzg0JxXn8dP4c8xsm3IEDsmsBZvepjNn5TCaFMUkI0nRArBNkoSUWMhAWQzgjENcNh2OCpQ8AcMcUhcVOweB2RUMaVw/gqH6Qis4NCcV0WMW2YpEj9LJp7ADCBySCdGmt+nMWTmMJkUxyUhStABskyQhJRYyUBYDOOMQl02HowIlT8Awh9RFVXrnIHInI7CgpkIa18/UeRnYFRyak/3oMUd36ITucUAkKA/8waYIHJLpzKa36cxZOYwmRTHJSFK0AGyTJCElFjJQFgM44xCXTYejAiVPwDCH1EVVeucwjldgLrOCVDCfBYfmLLHoMUd36ITucUAkKA/8waYIHJLpzKa36cxZOYwmRTHJSFK0AGyTJCElFjJQFgM44xCXTYejAiVPwDCH1EXFzkFgdgVDGtePYKi+0MSFNsPzsugxR3fom0WbvUhQNqAuXWglIHBI5ho2vU1nzsphNCmKSUaSogVgmyQJKbGQgbIYwBmHuGw6HBUoeQKGOaQuKnYOArMrGNK4fgRD9YUWJ7TQTZ4FbRxAFsdQRV8iukNgDZci5iQcxDEzQ1nFPEgmDpvepjNn5TCaFMUkI0nRArBNkoSUWMhAWQzgjENcNh2OCpQ8AcMcUhcVOweB2RUMaVw/gqH6QosTWhwvLfaIrlxcRF8iukMX8rPSh7KKeZBM4mx6m86clcNoUhSTjCRFC8A2SRJSYiEDZTGAMw5x2XQ4KlDyBAxzSF1U7BwEZlcwpHH9CIbqCy1OaHG8tNgjunJxEf2n8TNgdsVSsD6UVcyDZNJk09t05qwcRpOimGQkKVoAtkmSkBILGSiLAZxxiMumw1GBkidgmEPqomLnIDC7giGN60cwVF9ocUKL46XFHtGVLxfB9tFbkWAkJU0MrQTMg2TyYtPbdOasHEaTophkJClaALZJkpASCxkoiwGccYjLpsNRgZInYJhD6qIqvXPgTiZu9Y7rJ673k3qLE1ocLy0REV2dlFgufiwDoZWAeZBMLDa9TWfOymE0KYpJRpKiBWCbJAkpsZCBshjAGYe4bDocFSh5AoY5pC6q0jsHgbnLGtK4frIOxgQfJ7Q4XlpkEV2ZkXKUGQOhlYB5kMzQbXqbzpyVw2hSFJOMJEULwDZJElJiIQNlMYAzDnHZdDgqUPIEDHNIXVTsHARmVzCkcf0IhuoLLU5ocby02Pm8zDeFpdqHVgKKEZLJkU1v05mzchhNimKSkaRoAdgmSUJKLGSgLAZwxiEumw5HBUqegGEOqYuKnYPA7AqGNK4fwVB9ocUJLXST54uW9tMZONucoKQhmbTZ9DadOSuH0aQoJhlJihaAbZIkpMRCBspiAGcc4rLpcFSg5AkY5pC6qNg5CMyuYEjj+hEM1RdawaH5UlGY/dlmFoFDMnNr09t05qwcRpOimGQkKVoAtkmSkBILGSiLAZxxiMumw1GBkidgmEPqomLnIDC7giGN60cwVF9oBYfmpOI8fhp/jpltU47AIZm1YNPbdOasHEaTophkJClaALZJkpASCxkoiwGccYjLpsNRgZInYJhD6qJi5yAwu4IhjetHMFRfaAWH5qQieswiW5HoUTr5FHYAgUMyIdr0Np05K4fRpCgmGUmKFoBtkiSkxEIGymIAZxzisulwVKDkCRjmkLqoSu8cRO5kBBbUVEjj+pk6LwO7gkNzsh895ugOndA9DogE5YE/2BSBQzKd2fQ2nTkrh9GkKCYZSYoWgG2SJKTEQgbKYgBnHOKy6XBUoOQJGOaQuqhK7xzG8QrMZVaQCuaz4NCcJRY95ugOndA9DogE5YE/2BSBQzKd2fQ2nTkrh9GkKCYZSYoWgG2SJKTEQgbKYgBnHOKy6XBUoOQJGOaQuqjYOQjMrmBI4/oRDNUXmrjQZnheFj3m6A59s2izFwnKBtSlC60EBA7JXMOmt+nMWTmMJkUxyUhStABskyQhJRYyUBYDOOMQl02HowIlT8Awh9RFxc5BYHYFQxrXj2CovtDihBa6ybOgjQPI4hiq6EtEdwis4VLEnISDOGZmKKuYB8nEYdPbdOasHEaTophkJClaALZJkpASCxkoiwGccYjLpsNRgZInYJhD6qJi5yAwu4IhjetHMFRfaHFCi+OlxR7RlYuL6EtEd+hCflb6UFYxD5JJnE1v05mzchhNimKSkaRoAdgmSUJKLGSgLAZwxiEumw5HBUqegGEOqYuKnYPA7AqGNK4fwVB9ocUJLY6XFntEVy4uov80fgbMrlgK1oeyinmQTJpsepvOnJXDaFIUk4wkRQvANkkSUmIhA2UxgDMOcdl0OCpQ8gQMc0hdVOwcBGZXMKRx/QiG6gstTmhxvLTYI7ry5SLYPnorEoykpImhlYB5kExebHqbzpyVw2hSFJOMJEULwDZJElJiIQNlMYAzDnHZdDgqUPIEDHNIXVSldw7cycSt3nH9xPV+Um9xQovjpSUioquTEsvFj2UgtBIwD5KJxaa36cxZOYwmRTHJSFK0AGyTJCElFjJQFgM44xCXTYejAiVPwDCH1EVVeucgMHdZQxrXT9bBmODjhBbHS4ssoiszUo4yYyC0EjAPkhm6TW/TmbNyGE2KYpKRpGgB2CZJQkosZKAsBnDGIS6bDkcFSp6AYQ6pi4qdg8DsCoY0rh/BUH2hxQktjpcWO5+X+aawVPvQSkAxQjI5sultOnNWDqNJUUwykhQtANskSUiJhQyUxQDOOMRl0+GoQMkTMMwhdVGxcxCYXcGQxvUjGKovtDihhW7yfNHSfjoDZ5sTlDQkkzab3qYzZ+UwmhTFJCNJ0QKwTZKElFjIQFkM4IxDXDYdjgqUPAHDHFIXFTsHgdkVDGlcP4Kh+kIrODRfKgqzP9vMInBIZm5tepvOnJXDaFIUk4wkRQvANkkSUmIhA2UxgDMOcdl0OCpQ8gQMc0hdVOwcBGZXMKRx/QiG6gut4NCcVJzHT+PPMbNtyhE4JLMWbHqbzpyVw2hSFJOMJEULwDZJElJiIQNlMYAzDnHZdDgqUPIEDHNIXVTsHARmVzCkcf0IhuoLreDQnFREj1lkKxI9Siefwg4gcEgmRJvepjNn5TCaFMUkI0nRArBNkoSUWMhAWQzgjENcNh2OCpQ8AcMcUhdV6Z2DyJ2MwIKaCmlcP1PnZWBXcGhO9qPHHN2hE7rHAZGgPPAHmyJwSKYzm96mM2flMJoUxSQjSdECsE2ShJRYyEBZDOCMQ1w2HY4KlDwBwxxSF1XpncM4XoG5zApSwXwWHJqzxKLHHN2hE7rHAZGgPPAHmyJwSKYzm96mM2flMJoUxSQjSdECsE2ShJRYyEBZDOCMQ1w2HY4KlDwBwxxSFxU7B4HZFQxpXD+CofpCExfaDM/Loscc3aFvFm32IkHZgLp0oZWAwCGZa9j0Np05K4fRpCgmGUmKFoBtkiSkxEIGymIAZxzisulwVKDkCRjmkLqo2DkIzK5gSOP6EQp1+zF8bSehjBNa6CbPAjEOIItjqKIvEd0hsIZLEXMSDuKYmaGsYh4kE4dNb9OZs5KMQs7ZPUAmRTHJaM8isx8CYJs0OxwuSAbOhgGccQjZpsNRgZInYJhD6qJi5yAwu4IhjetHKNSP5fD1MQllnNDieGkBR3TlIiD6EtEdupCflT6UVcyDZBJn09t05qwko5Bzdg+QSVFMMtqzyOyHANgmzQ6HC5KBs2EAZxxCtulwVKDkCRjmkLqo2DkIzK5gSOP6EQr1Y/nyrl8vS3YOrjRF/2l8JvXh4kOoPpRVzINkhmjT23TmrCSjkHN2D5BJUUwy2rPI7IcA2CbNDocLkoGzYQBnHEK26XBUoOQJGOaQuqjYOQjMrmBI4/oRCvVj+b7Vr3d2DvNlKXorMh90wSuFnnWYB8kM06a36cxZSUYh5+weIJOimGS0Z5HZDwGwTZodDhckA2fDAM44hGzT4ahAyRMwzCF1UZXeOXAnE7d6x/UT13s0byG7kDihxfHSEhHRVTRi6egUDIRWAuZBMvHb9DadOSvJKOSc3QNkUhSTjPYsMvshALZJs8PhgmTgbBjAGYeQbTocFSh5AoY5pC6q0jsHgbnLGtK4foQGE7AL2a6ixBKRoIiuooRGJ6diILQSMA+SGYNNb9OZs5KMAs7ZPTimnc4nCnUP7gOHANgmHZjMw2SADAQzgDMOLmw6HBUoeQKGOaQuKnYOArMrGNL1m2BwgOa/C/m+v8P0I6TxCXaEKz4vO4K8oqaGVgKKEZJJjE1/onPc/5w1QzFGE09nW/iGH2kDALZJ0tASDxkohwF9xn2//vZBaV2vkC54AoY5pC5Edg7SUy0L3+f18JcWCZaH33OYAvPqadrvbj2UjtBN3iG/PB7OwNnmBFd7SCaNNv3JznHfc3bPeT3xdLaFbxIkbATANkkYWMIhAwUx0J9xH6uH711cvS6XOD0BwxxSFyo7h1xSTpweDIx+fjmueg9PNM2fgbNNPwKHZKbTpTetZhmNztlZ1hQU/rR4AdgmTfNBKzJABvwZwBn3vlzedr+wETp/fyeZ4QkY5pA63OwcTpI/LpqWgdEuZFz1aRfPyPt5/DT+bNOPwCGZ1enSm1azjEbn7CxrCgp/WrwAbJOm+aAVGSAD/gzgjKtV67C++k+5GOj8HZ5ihidgmEPqYLNzOEX6uGZiBka7kHHVJ149H/fRiRHZikSPMpcEI3BIJnaX3rSaZTQ6Z2dZU1D40+IFYJs0zQetyAAZ8GcAZ1zdtA7L9fr5d6jz93iCGZ6AYQ6pQ1165yByJ3OCgjmzJUe7kHHVnxkb7nCjExPdoRv79CMiQU2HH26JwCGZ3lx602qW0eicnWVNQeEfjve5+17H7pa2+5KHGjVBmMc4Wu5YIhNkItbZgTNOnXDd9z1XWV1AmkuMJ2CYQ2rc1HXpncM43i5q/l84A6O/R8sqcOQ7OjHRHTqAe6lFgvKKINAYgUMyXbn0ptUso9E5O8uagsKfFi8A26RpPmhFBsiAPwM44/jMgZ2Df/1wRgYMfOx+PtC9fQzP+QzQ7yDO8LwsOjHRHcZIl0hQPoGFVgICh2Su69KbVrOMRufsLGsKCn9avABsk6b5oBUZIAP+DOCM4/cc2Dn41w9nZMDA9mP42obuvAIijbjU4EoVAGTSlOhLRHc4KYwDRhFzcmClRIdDWcU8SCZEl960mmU0OmdnWVNQ+NPiBWCbNM0HrcgAGfBnAGccf7cSOwf/+uGMnBh4+mdD+/KqPvvY/GqE+C9cXo72HdGVC0v0JaI7dCE/K30oq5gHySTOpTet5h3NeM5KDH8v2QBsk/ZO5UEyQAaOYKA/4/j3HBSL/J7DEaXEqTIYuHf/UPn6wQbxVv296FvrEZu1l66/vHjNshpHdGX1r5Ru4lwzDuhnwHwAQYmHQ1nFPEgmPy69aZVgNOGc/X3Vf2+pWT/JOXuy8EMZBWCbFOqV88gAGTjEgD7j+DekG6bYORyqFx4Xz8DNvROiu3NwTjnugL68HOelnR3RVQQ001xEb0WmLVu4VWglYB4kkyqX3rRKMDp4zn7frbs/trRbvOkcor9OFn5oJABsk0K9ch4ZIAOHGMAZB0ubDkcFSp6AYQ6pi6r0zoE7GYHVewSkT7V/+N2oDxr9e6w/bi+vHn7r+mW52mx+6vrt5nLzWddP/71c9buM64eXy6vXZsHX6/Vt8zPM58ur/5pdyHOj3U2pv5SrO+Xi+Nf4BDvCY0RXR6Dg1NMzEFoJmAfJjMalN62OG4Wcs5eXy9VH+nN2jvCPI280G4Bt0siYQzJABqIxgDMOLm06HBUoeQKGOaQuqtI7B4G5I6QjGPipvut/1VVd3zzUz8/vb1dK/Ly8+fdvW78unt8fF1/qNy3f/HvTS1wvN2/Pleo0XhbPbzcXv/Xz4uXteqk6h+aHnnpKfXH//vY4/GyEnu/9Pj7BvB1gQkRXcEopQwZCKwHzIJnhu/Sm1XEj/3P2ar28WH7McM7OEf5x5I1mA7BNGhlzSAbIQDQGcMbBpU2HowIlT8Awh9RFxc5BYHYJyc3A6qW+v6u29aJrDn6rr64JqOuLFzXr7ra+Xg9mX6/U4EFpLpqnT8vH1mq72HUOesp3FeV5Q7Pu+ARrdIEvPi8LJK64aaGVgGKEZJLj0ptWR478ztnftfpdyqulOnHTn7OzhH8ke8Z0ALZJhikHZIAMRGQAZxyc2nQ4KlDyBAxzSF1U7BwEZpeQ3Azcb+rV++Xbh2oefh+v1+tKdRDtZ6a/qvvHR6Wpr4fferhWPUL9vth+Nx1GfXfzrZ5ZqD8A2XUO/ZR6vXp4d6/pcyR0k+ezBm39GDjbnOBqD8mkzqU3rY4ceZ2zn6vmj7Csur/Rqv4AbnvO7v4U8OV93ZyzN92faVl25+xp/0zwkdT4Tke+bJKvN9qTATIwlQGccZhh0+GoQMkTMMwhdVGxcxCYXUJyM/Dv4mexfbh/Up9Surx5//qq1K9dbTuHz+rhSb1eauNL0W0b8bH8/Wo7hvvrr/bpwqbrHPop9fZ1s1hF+bSSGzmPnIqB8UXvVDhmXxeBQzJBuPSm1ZEjv3O2e+awquY4Z48Of+6mFIBt0pF54nQyQAacDOCMg4lNh6MCJU/AMIfURcXOQWB2CcnNwG91f12/r68f6+bj0/V33zn8NlLzMjuHa6V5Xdbb5tlEfXXXva+6zqGf0kzbrtP8mtbGt9jX3Buf0xAxvuidBsUJVkXgkEwYLr1pdeTI+5z9r/nA0scM5+zR4R/twJNarGeTPJ3RnAyQgckM4IzDFJsORwVKnoBhDqmLip2DwOwS0h4GLqsn1QdUH+q/l3p73fQL91e/W/UL31fqA0lf76POQR3/Wamqv13/1P9Vn/Xm8rd+qbrOoZ/yoz6q9Ls6j220Qe34cmAcDBmI5DB6lCHMnGIOAodk4nDpTatjR/7n7D/1gaWP9Ofs0eEf7cCTWqxnkzyd0ZwMkIHJDOCMwxSbDkcFSp6AYQ6pi6r0zkHkTkZgQeUD6UFt/+urhQL8Ui0XzwvVOXxfLdTXGLZ31cXi4nXUOdxdXlTXqup/r9RRVQ0/l9XF9e7TSv2Ur4tqWW1U93Fur/Hl4Oj4ozs8GpFyIBJUjMAO+UDgkMw5Lr1pdewo5Jz9vFu/JT9njw7/aAee1GI9m+TpjOZkgAxMZgBnHKbYdDgqUPIEDHNIXVSldw7jeAXmkpBCGdh+mZv97dePxdX3d7d1/NlZqzFeesrPl/rDEOf3in56RHcYIyciQcUI7JAPBA7JnOPSm1YRR5PPWdXsv36nPmePDv9oB57UYj2b5OmM5mSADExmAGccpth0OCpQ8gQMc0hdVOwcBGaXkCIzMK76yO4TuZvheVl0YqI7jMGtSFA+gYVWAgKHZK7r0ptWxY6ODv9oB57UYj2b5OmM5mSADExmAGccpth0OCpQ8gQMc0hdVOwcBGaXkI5l4GfTvXbPIEJ3XgEwIi41PlcD0ByaEn2J6A4PRTDleMScTFkuvk0oq5gHyUTn0ptWs4xG5+wsax4d/tEOPMPEejbJ0xnNyQAZmMwAzjhMselwVKDkCRjmkLqo2DkIzC4hHcvA9q17mZ9mOtbrlPnjE2zKHIdNRFeOFeJ/A2AGzK5YCtaHsop5kEyaXHrTapbRKc7Zo8OfuykFYJs0S564CBk4SwZwxiF8mw5HBUqegGEOqYuKnYPA7BJSvgyMT7AjIonoyoUi+sZnBsyuWArWh7KKeZBMmlx606rYUXbhA7BNKjZPDIwMnJwBnHGAYtPhqEDJEzDMIXVRsXMQmF1CypeB8Ql2RCQRXR2Bwm9q9FbEb/lCrUMrAfMgmRS59KZVsaPswgdgm1RsnhgYGTg5AzjjAMWmw1GBkidgmEPqoiq9c+BORmD1lgxpfIIdEWtEV0eg4NTTMxBaCZgHyYzGpTetih1lFz4A26Ri88TAyMDJGcAZByg2HY4KlDwBwxxSF1XpnYPA3BFSyQyMT7AjYo3o6ggUnHp6BkIrAfMgmdG49KZVsaPswgdgm1RsnhgYGTg5AzjjAMWmw1GBkidgmEPqomLnIDC7hJQvA+MT7IhI+LzsCPKKmhpaCShGSCYxLr1pVewou/AB2CYVmycGRgZOzgDOOECx6XBUoOQJGOaQuqjYOQjMLiFFZiB05xUAY8alAtCd55SzzQmu9pDMEnDpTatiR9mFD8A2qdg8MTAycHIGcMYBik2HowIlT8Awh9RFxc5BYHYJKTID46qP7J7uZDNwtulH4JDMVLn0plWxo6PDn7spBWCbVGyeGBgZODkDOOMAxabDUYGSJ2CYQ+qiYucgMLuEFJmBcdVHdp+vu7k3Pqdh6mzTj8AhmSlw6U2rYkdHh3+0A09qsZ5N8nRGczJABiYzgDMOU2w6HBUoeQKGOaQuKnYOArNLSJEZGFd9ZPf5uotOjMhWJHqUuSQcgUMysbv0plWxo6PDP9qBJ7VYzyZ5OqM5GSADkxnAGYcpNh2OCpQ8AcMcUhdV6Z2DyJ2MwIIqG9K46suO1iO66MREd+gRjNNUJCgn2ogHEDgk071Lb1oVOzo6/KMdeFKL9WySpzOakwEyMJkBnHGYYtPhqEDJEzDMIXVRld45jOMVmEtCSs4Aq8BBcXRiojt0APdSiwTlFUGgMQKHZLpy6U2rYkdHh3+0A09qsZ5N8nRGczJABiYzgDMOU2w6HBUoeQKGOaQuKnYOArNLSJEZGFd9ZPeJ3M3wvCw6MdEdxuBWJCifwEIrAYFDMtd16U2rYkdHh3+0A09qsZ5N8nRGczJABiYzgDMOU2w6HBUoeQKGOaQuKnYOArNLSJEZCN15BcCIuNT4XA1Ac2hK9CWiOzwUwZTjEXMyZbn4NqGsYh4kE51Lb1oVOzo6/KMdeFKL9WySpzOakwEyMJkBnHGYYtPhqEDJEzDMIXVRsXMQmF1CypeB8Ql2RCQRXblQRF8iukMX8rPSh7KKeZBM4lx606rY0dHhz92UArBNKjZPDIwMnJwBnHGAYtPhqEDJEzDMIXVRsXMQmF1CypeB8Ql2RCQRXblQRN/4zIDZFUvB+lBWMQ+SSZNLb1oVO8oufAC2ScXmiYGRgZMzgDMOUGw6HBUoeQKGOaQuKnYOArNLSPkyMD7BjogkoqsjUPhNjd6K+C1fqHVoJWAeJJMil960KnaUXfgAbJOKzRMDIwMnZwBnHKDYdDgqUPIEDHNIXVSldw7cyQis3pIhjU+wI2KN6OoIFJx6egZCKwHzIJnRuPSmVbGj7MIHYJtUbJ4YGBk4OQM44wDFpsNRgZInYJhD6qIqvXMQmDtCKpmB8Ql2RKwRXR2BglNPz0BoJWAeJDMal960KnaUXfgAbJOKzRMDIwMnZwBnHKDYdDgqUPIEDHNIXVTsHARml5DyZWB8gh0RCZ+XHUFeUVNDKwHFCMkkxqU3rYodZRc+ANukYvPEwMjAyRnAGQcoNh2O/t/elSimruvAUOhG99PbvSX//5fXWZyJgo1xFvAyvHdPZXksSyPFQWVpgJKnw4BDaqJi5xBgdunSzAyMfeY1wo0TbjXCuzyXZJsTnPaQZAnY9BKV7Ci68OGwSUo2TwyMDJydAVxxcMWkw2yAkqfDgENqomLnEGB26dLMDAyrfmbzNBc2A9mmH4FDkqmy6SUq2dHk8E/dlMJhk5RsnhgYGTg7A7ji4IpJh9kAJU+HAYfURMXOIcDs0qWZGRhW/czm4zV36ic+52Eq2/QjcEgyBTa9RCU7mhz+ZAOe1GI/k+RpjHAyQAaOZgBXHJaYdJgNUPJ0GHBITVTsHALMLl2amYFh1c9sPl5zsxMTZCsye5SxJByBQ5K+2/QSlexocviTDXhSi/1MkqcxwskAGTiaAVxxWGLSYTZAydNhwCE1UaXeOQT5TCbAgkrbpWHVpx2tR3SzEzO7QY9grNAgnbJ6O+MEAockzdv0EpXsaHL4kw14Uov9TJKnMcLJABk4mgFccVhi0mE2QMnTYcAhNVGl3jkM4w0wl3RpcQZYBRaKZydmdoMWx73UQTrlFcFIMAKHJE3Z9BKV7Ghy+JMNeFKL/UySpzHCyQAZOJoBXHFYYtJhNkDJ02HAITVRsXMIMLt0aWYGhlU/s/mFzJ3g9bLZiZnd4BzcBumUT2BjKwGBQ5L72vQSlexocviTDXhSi/1MkqcxwskAGTiaAVxxWGLSYTZAydNhwCE1UbFzCDC7dGlmBsY+8xrhxoxbDa/VEd64lsy+xewGXREcMz9jTo7Zbn7MWFaxDpL0zqaXqGRHk8OfbMCTWuxnkjyNEU4GyMAeA7s9TaPAFQeASYfZACVPhwGH1ETFziHA7NKleBkYXmATIpnRlM2L2beY3aDN86z0Y1nFOkiSOJteopIdTQ7/1E0pHDZJljx9btZ8kAEycCQDltYBVxyuM5MOswFKng4DDqmJip1DgNmlS/EyMLzAJkQyoymbF7M/8TmBz7ZYEtaPZRXrIEmabHqJSnYUXfhw2CSZ8/R5+WmeoJYMkIEBA5+XuLLklElv0slVgY08HQYcUhMRO4fAMkt34mZgeIFNiGZGUxO88Fs6eyvit32i6LGVgHWQJEU2vUQlO4oufDhskox5YuNgpIVKMmBgQF0tuLLkvElv0slVgY08HQYcUhNR6p0Dn8kEVrmpuzO8wCbEO6OpCV5w6fkZGFsJWAdJRmPTS1Syo+jCh8MmyZQnNg4mVqgjAyYGqqsFV5ZEmPQmnVwV2MjTYcAhNRGl3jkElje6kzoDwwtsQrwzmprgBZeen4GxlYB1kGQ0Nr1EJTuKLnw4bJIMeWLjYCCFKjJgZKC+WnBlSYxJb9LJVYGNPB0GHFITETuHwDJLd+JmYHiBTYiGr5dNIC+ppWMrAcUISRJj00tUsqPowofDJmk/T2wc9jmhhgyYGWiuFlxZEmXSm3RyVWAjT4cBh9RExM4hsMzSnQUYGPvMa4QrJ9xqhHd5Lsk2JzjtIckSsOklKtlRdOHDYZO0lyc2DnuUUEEGLAy0VwuuLIkz6U06uSqwkafDgENqImLnEFhm6c4CDAyrfoEtaDJcBrJNPwKHJNNk00tUsqPJ4Z+6KYXDJmmYJzYOQ0Y4JgM2BvTVgitLIk16k06uCmzk6TDgkJqI2DkEllm6swADw6pfYIs4TZ76ic95WMo2/QgckkyBTS9RyY4mhz/ZgCe12M8kDYzpp0IDNYdkgAzsMdBdLbiyJMakN+nkqsBGng4DDqmJiJ1DYJmlOwswMKz6BbaI0+TsxATZisweZSzJRuCQpO82vUQlO5oc/mQDntRiP5MkjXVPhaSaIzJABvYYwNWCK0uCTHqTTq4KbOTpMOCQmohS7xyCfCYTWDGl786w6tOP+MgIZydmdoNHBnIQFqRTBz2eaRKBQ5KmbXqJSnY0OfzJBjypxX4mSRo78i/mEkYGyMB63f25RFxZg+tJDuuRDWuAhqHydBhwSE0gqXcOw3jDSB+9OC0DrAIL37MTM7tBi+Ne6iCd8opgJBiBQ5KmbHqJSnY0OfzJBjypxX4mSRoDQuo5IgNkYMgArhZIEmPSm3RyVWAjT4cBh9RExM4hsMzSnQUYGFb9AlssYPIEr5fNTszsBufgNUinfAIbWwkIHJLc16aXqGRHk8OfbMCTWuxnkqQxIKSeIzJABoYM4GqBJDEmvUknVwU28nQYcEhNROwcAsss3VmAgbHPvEa4MuNWw2t1hDeuJbNvMbtBVwTHzM+Yk2O2mx8zllWsgyS9s+klKtnR5PAnG/CkFvuZJGkMCKnniAyQgSEDuFogSYxJb9LJVYGNPB0GHFITETuHwDJLd+JmYHiBTYhmRlM2L2bfYnaDNs+z0o9lFesgSeJseolKdjQ5/FM3pXDYJMk8ASH1HJEBMjBkAFcLJIkx6U06uSqwkafDgENqImLnEFhm6U7cDAwvsAnRzGjK5sXsT3xO4LMtloT1Y1nFOkiSJpteopIdRRc+HDZJMk9ASH0mo++3/7oPvY4P+fXusSx/vr4bC093ryZTX/rxa5rFop8v03w4utD9W5IpXC2Q5H4mvUknVwU28nQYcEhNROwcAsss3YmbgeEFNiGaGU1N8MJv6eytiN/2iaLHVgLWQZIU2fQSlewouvDhsEmSeQJC6rMYfV4W6nHxMTXY+2JTljfFRWPnsrgzGVxVe1WPZ9MsFm1Xpvl5dM+Xt+MNtYuX9G+8c6dZiasFktzZpDfp5KrARp4OAw6piSj1zoHPZAKr3NTdGV5gE+Kd0dQEL7j0/AyMrQSsgySjseklKtlRdOHDYZMk8wSE1Ocw+lRP428ft6vXqcHKzuHd/DLGzdXVuiiurq7+M213ms6hdtS0/TG6djE7h4os23Vj0pt0xxB+Noynw4BDanxPvXM4W4a4cZ4MDC+wCSzMaGqCF1x6fgbGVgLWQZLR2PQSlewouvDhsEmSeQJC6nMYXRVF9XLD7qcs37eXVw/q5+P233/X1+/l89Vt9S6mwfB1e315/fRX699vruoXD56vrt9k56AWCYSyXS9SyqJo3qqkt+v2LWXnIPd92VY7Nf9Wefm+v7q6efwr77eqCfm3fap3e7tu/NG7KRNv1/oVhnbF46ZYbbefZRdHqQK9eXvdqjdbVa60blZ7dJ51m+jF7BwqemzXjUlv0lU2gn14Ogw4pCY2dg7B5piOxcjA8AKbEANfL5tAXlJLx1YCihGSJMaml6hkR9GFD4dNkswTEFKfweinKLZtmM9Fod5MdPFdboqL6g1FN+q/lXqSPxjerC7V+5uuSvU8X718UBTqknuofq73360ExHNRbC6Kjeo3us5BqZrtOqHXObw+DPd9qxuOVaEakurxd1GsL1fFd3lRqGf8254/amW322WxURvLFfWbs4rXsouj5363sFnSedZtohdX/uX6wNUCSXJh0pt0clVgI0+HAYfURMTOIbDM0p0FGBj7zGuEKyfcaoR3eS7JNic47SHJErDpJSrZUXThw2GTJPMEhNRnMProPnLwW/UQPxfFrWoVVl/fVQ+h3sn0Wj2DF8Pqs8vvRfGlnucXH3+XxXVZr/xemToHIJ6rJ/tPam37mkO3XSdUvUj/wxGDfdfqsxFq379ypx7lZ7HaleXnn+gcVl/lnWowlMV2N+Xi0/eHXPF3V2x+f3dlFwfcx8J6D3jWdQ56cQaVYQ0RVwskCTbpTTq5KrCRp8OAQ2oiYucQWGbpzgIMDKt+gS1oMlwGsk0/Aock02TTS1Syo8nhn7ophcMmSeYJCKnPYKQ6h6cmzLeiUO9Nui9WqlVQb/C5qJ7F123FYPi13azVaxJv6nn+TYXfVM/n1cpbU+fQIpTt2+32QnUZXefQbdcJ+52DcONZ2b9TzU31wYxip57VX1w/qPdZdU/qlT8Kr2bfsdtl9VrEcEX7UYUujsb9rTLfLWz2gGfYpF3cUJbnv7haIEkmTHqTTq4KbOTpMOCQmojYOQSWWbqzAAPDql9gizhNnvqJz3lYyjb9CBySTIFNL1HJjiaHP9mAJ7XYzyRJY0BIfQajP/WupCbM/6rXEap37qjOQTUN9ZPltnPoD39XxeXDfVH817xCcF+sqyfcaqX6Vf7wu5Xq1xAqhLK9qR7VG6Pa1xy67Tphv3Po71v+rYr3lfpMRvOsvvy4qb6n6a3x87Z5t5Iyr14recNuzYsYgxXNk3/E0bhfdQ7dwmYFPKvJqDdh59D7dIPtujHpTbqgry9PhwGH1MTHziHoPNO5WRgYVv0sRlMwMjsxQbYis0cZS+oROCTpu00vUcmOJoc/2YAntdjPJEljQEh9DqPbov7ogPo7C7VwVVwe7hzU8+zf6lWGXuegnq2r02xzoHNQtt8Vmbvqo9Ft59Bt1wmOzkG9vLFWTUjv8XtZ3Kttt9X7oJrPXajPSqsuBrvJtz+VZb3iobaCONRHPR4rE5sSC+td4Bk2aRb3nMhPRA4gSRZMepNOrgps5Okw4JCaiFLvHIJ8JhNYMaXvzrDq04/4yAhnJ2Z2g0cGchAWpFMHPZ5pEoFDkqZteolKdjQ5/MkGPKnFfiZJGgNC6nMYqU82FOubjfpAw3Wxur+uPtlw8DUH9ev47bP6aHSvc1Ari7ur+qPIN9Vbiao3QNXP2bvXHKq/8/D4fH9RPcnQ363UbdcJzaKO9IEb1fN6/c4q9drC+uHlufrghPpgw031Ra9V31FcqZGSut36nUO3QjUXV9e/iEN9vrrYrPTHNLSblRudZ9ikWdz5mKOAqwWS5MGkN+nkqsBGng4DDqmJKPXOYRhvYHmkOydhgFVgoXl2YmY3aHHcSx2kU14RjAQjcEjSlE0vUcmOJoc/2YAntdjPJEljQEh9FqPfu+ptP9df5Z96Bl1cqO8uGjxlHwzVM/+Vev7c7xx+1JP22/bdSspG9Tv8QeegPlmsHlfV97/qzqHbrhMcnUPVoPzolPxuKoPbXfmjhLv2u5W2t6oHUH/Eutut3zl0K3bqAxfqS5m6OBR8dfG0VS+2YGGzTecZNmkXazdy/ImrBZLkwaQ36eSqwEaeDgMOqYmInUNgmaU7CzAwrPoFtljA5AleL5udmNkNzsFrkE75BDa2u8OmaAAAWTZJREFUEhA4JLmvTS9RyY4mhz/ZgCe12M8kSWNASH0uo59v9T1F6rH77p6ZHwj9r0X3Id/Nn2joqwayst1sAn23XSdgziQ96o9k1JN/360fP+3eVZvwq/qG6mHYTfUFekWD6eKo1u/Wzfc6DRZ2nulNmqVZ/4urBZIkxKQ36eSqwEaeDgMOqYmInUNgmaU7CzAw9pnXCFdm3Gp4rY7wxrVk9i1mN+iK4Jj5GXNyzHbzY8ayinWQpHc2vUQlO5oc/mQDntRiP5MkjQEh9RwFxMDbffX56AOP/gsMB2D7Uy/r7d26WLVNx/48NYIBXC2QBKD3GWrobVggApM8HQYcUhMRO4fAMkt34mZgeIFNiGZGUzYvZt9idoM2z7PSj2UV6yBJ4mx6iUp2NDn8UzelcNgkyTwBIfUcBcTAfVF/TMLu0fXFyD/P9nG1Ki62bBzs1IoZXC2QBICdg6CDnYOggwMyMI0B27EzwuqMpmy7z/7E5wQ+22JJWD+WVayDJGmy6SUq2VF04cNhkyTzBITUc0QGyMCQAVwtkCTGpDfp5KrARp4OAw6piYidQ2CZpTtxMzC8wCZEM6OpCV74LZ29FfHbPlH02ErAOkiSIpteopIdRRc+HDZJMk9ASD1HZIAMDBnA1QJJYkx6k06uCmzk6TDgkJqIUu8c+EwmsMpN3Z3hBTYh3hlNTfCCS8/PwNhKwDpIMhqbXqKSHUUXPhw2STJPQEg9R2SADAwZwNUCSWJMepNOrgps5Okw4JCaiFLvHALLG91JnYHhBTYh3hlNTfCCS8/PwNhKwDpIMhqbXqKSHUUXPhw2STJPQEg9R2SADAwZwNUCSWJMepNOrgps5Okw4JCaiNg5BJZZuhM3A8MLbEI0fL1sAnlJLR1bCShGSJIYm16ikh1FFz4cNkkyT0BIPUdkgAwMGcDVAkliTHqTTq4KbOTpMOCQmojYOQSWWbqzAANjn3mNcOWEW43wLs8l2eYEpz0kWQI2vUQlO4oufDhskmSegJB6jsgAGRgygKsFksSY9CadXBXYyNNhwCE1EbFzCCyzdGcBBoZVv8AWNBkuA9mmH4FDkmmy6SUq2dHk8E/dlMJhkyTzBITUc0QGyMCQAVwtkCTGpDfp5KrARp4OAw6piYidQ2CZpTsLMDCs+gW2iNPkqZ/4nIelbNOPwCHJFNj0EpXsaHL4kw14Uov9TJI0BoTUc0QGyMCQAVwtkCTGpDfp5KrARp4OAw6piYidQ2CZpTsLMDCs+gW2iNPk7MQE2YrMHmUsyUbgkKTvNr1EJTuaHP5kA57UYj+TJI0BIfUckQEyMGQAVwskiTHpTTq5KrCRp8OAQ2oiSr1zCPKZTGDFlL47w6pPP+IjI5ydmNkNHhnIQViQTh30eKZJBA5JmrbpJSrZ0eTwJxvwpBb7mSRpDAip54gMkIEhA7haIEmMSW/SyVWBjTwdBhxSE1HqncMw3sDySHdOwgCrwELz7MTMbtDiuJc6SKe8IhgJRuCQpCmbXqKSHU0Of7IBT2qxn0mSxoCQeo7IABkYMoCrBZLEmPQmnVwV2MjTYcAhNRGxcwgss3RnAQaGVb/AFguYPMHrZbMTM7vBOXgN0imfwMZWAgKHJPe16SUq2dHk8Ccb8KQW+5kkaQwIqeeIDJCBIQO4WiBJjElv0slVgY08HQYcUhMRO4fAMkt3FmBg7DOvEa7MuNXwWh3hjWvJ7FvMbtAVwTHzM+bkmO3mx4xlFesgSe9seolKdjQ5/MkGPKnFfiZJGgNC6jkiA2RgyACuFkgSY9KbdHJVYCNPhwGH1ETEziGwzNKdczHw8t+Ynf+9ylX1BXasKSvu6+3tu8S1+vwmN+lG1okOYRXqpdjChvPcwW3QtpFB79q7o2+YBIOt86lcUex71sWlp8ayinWQtM3mp00vUcmOJod/6qYUDpskmScgpL43qs8ZjK2lap3AWpt05NIjYbZdJulde3fXY+rnzCQWLYuNnHWMWhZp9bE4jXf+tBvE1QJJmjPpTTq5KrCRp8OAQ2oiYucQWGbpzhQGHnzu5APw7cOYne/u5ar6Art77CkH2/RmStuW96vLy2KLa/Wmb69vYG/iwGb9dUqulx6kq7a1t8PAzGAInwcTY4auvTuah0kYs5llzfGEWgw0RNsmjfouLj07llWsg6RtNj9teolKdhRd+HDYJMk8ASH1GDXnDMbWC25v4vjLYm8ptmulMefMnpEpCpeL3fWY+jkzhUTbWiNnHaPVqgO1ZLxBHsDvOzEAGw3Wq3C1QJLmTHqTTq4KbOTpMOCQmojYOQSWWbozhQH7wWCwOgAPhoYFJtXwYBxeYKW1PVDWbFv+qrmvAqast7a9CZvFfdf3lu5BaltumFh3sBURyCMGR+89TMIRto+FHE+ozeLRUdgMlL1Xn+wY0wwqCJLE2fQSlewouvDhsEmSeQJC6jFqzpnXTmEt1b2J4y+LvaXdbloYc87otbP8dLvYbpP6OTMLmwMjbs4O1JJxyqgc7NoNB+DBsIP1z1jbdWPSm3Q9o+GJng4DDqkJKvXOYdZnMuHVAT1qGfi+u7q+//233my3v+WnGjz+qZn328ubf+CoHbbTQ3B1qLzeXN79VAterq7/G7zO+n57tf1SU8//vV5fv2pQdTA+//fvqtao5etq+Yua1rB2mwpflo/v6p/Krlpyfb/fOTRh1NByjWv15rHdoFvfhlbd8/7u1XuZWufEZo0Z/W9rurPQ2WwBXRCavcbWzaOOVhva/9mu+FJU/G3Ve77ensqyH0mJjOiU6MxoUlu4XDWM7r1+Vej1WXtQ0VxnynB3cvuk99IutK41mTESqplBYbVhaBOHo2ht9qKQe3VFV8elS7Gqo3UVaPPQZQVKKyPX72rxzUcF0b5UMioIUqXHw6YHImkpuvDhsEmSuQJC6tVI1341se6uJ/XyGM8ZdcT3rtCauWzOmea2Vsfsdc7UK7qTp1vanc3dvUUfauNukE3VDu/b+lbSOKG8qO/57Vk9BNtv8rhaILUm2x8mvUknVwU28nQYcEhNRKl3DoHlje4sxMDFw8f708/X1e3b2658efl4v75WfUDx9PEf3uijh+30AFw9jf+3enm/vVA9x9PF6/vtWj0TxuN19fLxtPpWb/NZ370/F+pZ2svq3/tNBbpZb99fiv/q5etqeXU+aVi7TWPosupkt/WS27f3/c6hCaPC/v1b4VrVG5Td+jYW9dz6Z6M2086JzZot9b+t6c5CZ7MFdGPNXmNLh6HNmH62K36Ln/KtULzfKs4RSbVC29Qp0anQfmu4XDWM7reoOreLrhesaO6SMHDM7VO7V+eCpnRdZUZrBaHDKLpoVm1ptCbNUWibvShuxF5d0VVxdaVYJWBdlVvz6PLROVNpHov7+/eH1R8qoUajgiBpQ81Pm16ikh1FFz4cNkkyT0BIvRqhQtU5o8609tGdAd0poS8KnjP6sNdctT+TOmfq21oTmNc5Uy/RR2Z358PZrOuqO9TG3SCbqm2PZH3+6VtJmw89bKcH4AM3eVwtkFqb7Q+T3qSTqwIbeToMOKQmInYOgWWW7oxh4Kf4rZdVJ1Lz+Cu+ywv8Nq1S9ofVtARXw4vqif36qSxXr2W5uxCdQ/2E9f5OtQRXCnSjNqo0u1XVBmyU5vGyXr6ultcHo4ZhmxLP/G8u1ZKeB9WoLHUY5XdRrN7wepneAOvbWG4eP2ufO+f6mzU223+16e45QWezBYhxRU/jXRetsLY/qFZs/pUP98WuXL0jEiBrm63fOhXa79Y77aR2aS86RfbbaqdtVsF2SdDK3s+DPum9tAu6PJrMdNohof0o9BINPhxF0/KoCrrtopB7dUVXx6VLsUrAS1VuzUPko3am1qxVw1ZeqNd7tC81Gqc9pNZO+8Oml6hkR9GFD4dNkswTEFI/PGcw250B3SnBc0axk805U9/WmnLwOmfqJd3J0y2tNHs3yPr+WjHawfpHbFd4hhukPrGBr84/fStpq7g/rKYluBpabvK4WiC1NtsfJr1JJ1cFNvJ0GHBITUTsHALLLN0ZxcDl5rH6tWxzTvw93ahPGL9/V09/60f9HLwbttMSXK39qRfc36on7tV7jqpneN3ju3h4elJ2m6ahfNiqJ8cV6KbqHCrgR1Fv8KKW15brJ3sK1m7TGMLBWD8VxLHW7tOGUZa/30/4PbPeYNd1DjqWm6tV9bVLcG7PYmtYNS0NQ/Cgcbp7Gt4GsSs1PY3jXRidoX1Br1DRbj6u3j9V86C3a8Ea0fqt3Yff2rvGyXbVXnTvqmuo/WwAKlgkYeCW3rHy6cHoU7Nl54L2qQ6404rsaZsa2kWjS+NQFEgSohB7oejquKrarWppkIBuqJ1pANfqZZ6qOuB4xQdOe0iVHg+bHoikpejCh8MmSeYKCKlXo7ZQec7UzMx1zpjPvgzOmYpFnDz6iMLZ3L9B1odadZvSMHHE4vZkuEG2Vdvc49rzT5/FdSIrL9p7vj4eBfjQTR5XC6TWaPvDpDfp5KrARp4OAw6piYidQ2CZpTujGNi9blebn/YQurr9+P4u3r7qp/aVubrqu2E7LcHVodI8d3u4UefPXufwVTw+q4f6LUr17vvyoWovfpVQv/WoOuU+i896lVpeW9awdhuFUA8cjJURMVWNyzaMWr5VTxvbR33IfhZ/3Xody831qnrvDpxrDkq9rv+zNQ0PGqf/NKbbQ9PTeNeFoXGGn3rF28Xvavf48Fz9/rsfSVlqROu3dh9+t3C5ai869arGT/2OpcYJFSySMPBL71j5tDb61OzVuaB9qgPutCJF2qaGdtHo0jgURS9JXRRiLxRdHVdVgVUtDRLQDbUzDeD6ScFVbuF4xQdOe0iVHg+bHoikpcnh43XB0/AEh02S9AEIqVej/nXGc2auc8Z89mVwzlT1hZNHH1E4m9t7y9QbZFu1zT2uPf/0WdyWeDfUx6MAH7rJ42qB1Bptf5j0Jp1cFdjI02HAITURsXMILLN0ZywDu8vH5nle9X579cvot7+i+n189airXg/1tARXh8quqD7ArD65vKtXis856NV4KtegN9VrDuoJnnoXe7e8tqzPz2abygv1qJ/gXVVLzJ2DglRh1I/bymrzaDfAeu2NerfSSj150UNDL6JNVD8r0/CgMn+36ub1Hh09jeNdGB1wT+hW/BXqqe7H5c1TA+kiKXuIOiXaX/2zxrdwrFIkDaJTH7l7rN4E1j7UXQFJ0MrmZ2/Hh5u1yacKp/bqXNBCHbAeCEJ7NpvCalEANyZby9WP6tFG0UtSF4XYC0XXxaVKsakU1ai2D52PzpkGoDsH4Qs7B82a7efwdmjDWfWTDVgtmyewn0mSa4CQ+mbUXWenOGdeszhnjGdfxXbq50wVI04efUThbJ7vBllVbd0M6PMP21ZOdF7oaQk+dJPH1QKpNtn9Y9KbdN2CEAVPhwGH1ITFziHE9NInTwZ+1VuV/jYv5cP13049m/xX7m7Uk/+7jXrp8lOZaqq+HXbTElydMXeXv+V/1S+17zefvw/VRxjwqFd/q330wVhur/7Kf0X15E7t9bt5xPLqbOtg9TatncfNn/pYrX4+2Bxr2KLUYfz7Ub8VVFHoh96g7Na3sahNvi6eVAdQRVo5199Mr65/atOdhdrmuu1SFETv0dHT2OrCENbEACuuilvFfqEo19s1QCBav9sfnd8tXK6qKJTRqRtD9WEA/aho7pKglc1P7HhVPK9NPum9Oupan+qAO8f6hMKmcP+zAx+OooMhCrlXV3RVXF0pDhKgh3Cm1ujOAZtUPOC0hyR5suklKtnR5PAnG/CkFvuZJGkMCKnH1Xmyc0YdjvoxzznzHOI5Y/Qph3Omzm13kOojCmezznl3qI26QWom5X1bn8VtfbXD7niU4AM3eVwtkHTNNj9NepNOrgps5Okw4JCaiFLvHE79anJgdZKLO98XxbrY7sqf65V6o+O/Yr16UR8A2G2LC/VcVj+D0kM9LcHVofJ3XVxUv8Mvd3eri8ctbneV6l7NXbz2WoLfq+Lipn630v3VRXGjPiGgl4uDsdmmycTfZbHa1ktq2xWu/9BhXBdF0f+o1027Qdmtb2OpDunvi0c419+sb1mhGoY6C7XN9a4DdXtoehoyu9tAB9wXuhWP1d+guK5+v6i3a8EdovVbp0KT2sIHq/aiq14kgcd149UlYeBWt+Nj8bU2+aT30i7oaqkDNhPa2ezcbwpMmzgcBWx2Uci9uqKryqKrpUECumHnTK3pOgftS00HTntIkiebXqKSHU0Of7IBT2qxn0mSxoCQelydJztn1OGoH/OcM+q3O+GdM0afcjhn6tx2J093RHVns855d6iNukFqJuV9W5/FbX3poT4eJfjATR5XCyRds81Pk96kk6sCG3k6DDikJqLUO4dhvIHlke7MxcDv9x9M7b7bO9Xf92+l1VXQDrvpeoUY/eqVakp9VZB47BpjPd1P9Wb0updopf7yHq4n/tQO9RRSbMNoHe3NtRuU3foBZN+53uJa1Ax1FsqfH02MAqjzvt1DEDK0YhxjBQzq7ZoFQLR+a/e13y1cruo206jel390c5qZTjHcsUu/+tx5r0i6UWdc+1Qb6LQ9u3tRlO0SDT4cRalh9ft+hd2uKlB0rlqCMz1LStSbKBHZgCTBNr1EJTuaHP5kA57UYj+TJI0BIfXVqC1UUfE1Sl9N3SkxgPSqa99qrdEXWWdBnysNfp5zBnvr7RoNLorWb+2+9vvwFapR486Zzinpkx51xrVPNb7TdqurS1h3Whra/tTgw1F0R8CpzpnWde0dImmrCTl3HWrqbcbdUQgzWtJM1uOOJM1Ri+qo0hxW+g5cDfpOdOctrhZIFRgPk96kw4oAJU+HAYfURMXOIcDs0qWZGRhWvdP81+v3191F/+g5tKT+JcshwLi5E7xe1iNmniB6BscFfXDVz2v3ofeDuMHksk4NNnMPbVHYi25sJSBwSNI/m16ikh1NDn+yAU9qsZ9JksaAkPrzjuY5Z5aNwXaFLrvr3NZtUdjPmbk90PbCzLnkAVcLJO1/89OkN+nkqsBGng4DDqmJiJ1DYJmlO3Mz8LvdXm3V48DvMva2/L7ZbLbNCwp7c/uK7TN0xid5yoX64eOC+o3xuGXwxS2ty26PfhDuhTaEPF864za4UW9fdbV5VSvs80Zz6s8h9PXeq/33q7ez79NE0fepke1F10vT/rIDGmQDkoTb9BKV7Ghy+JMNeFKL/UySNAaE1O+N7KW6Bx2t6PaY55yRfnTGpdoxsq8aec6I/ezWBaw38F9RLbav8j9nDlnrOeotOnNuD+LIvcYYkOctrhZIcnOT3qSTqwIbeToMOKQmInYOgWWW7szNwO69eRz7CsK0/YcXWG1tnAvrcct8/F+XM+8hwx9n3LXKNX+YAP/V/isqD8atMvs+Nk3IBiS5g00vUcmOJocvmtIT0ASHTZJ0AAip3xvNWap7xlvFonuMM+5a5Zq3hdro/Vf7r6h2GrfK5vu81my77OknbzvZwMh3dh59je2FfCaFp8OAQ2o8Z+dwpgxy2+QYqF+jqC+wo1+tOMjB8Fo9CB43OfsTnxP4PC7SWFdNKipkA5IkwqaXqGRH0YUPh02SzBMQUs8RGSADQwZwtUCSGJPepJOrAht5Ogw4pCYidg6BZZbuRMvAq/4C2M/XWWIYXquzGF3YyOytyML+Bm9+UlGhgiDJiG16iUp2FF34cNgkyTwBIfUckQEyMGQAVwskiTHpTTq5KrCRp8OAQ2oiSr1z4DOZwCo3YXf+LlXroC6wj8v+N/iMD3h4rY63xJXRMqCL6nNMUaGCIEkmbHqJSnYUXfhw2CTJPAEh9RyRATIwZABXCySJMelNOrkqsJGnw4BDaiJKvXMILG90J2UGbjefqnN47/15tUnRDq/VSca4OFIGtnVRfY4qKlQQJEmDTS9RyY6iCx8OmySZJyCkniMyQAaGDOBqgSQxJr1JJ1cFNvJ0GHBITUTsHALLLN2Jl4HP9eZz/b5ez/MxB/mVQPGyQs8nMfCfKqqXz3FFhdMeknTGppeoZEfRhQ+HTZLMExBSzxEZIANDBnC1QJIYk96kk6sCG3k6DDikJiJ2DoFllu4swMCp3rN2ubm8XV/dLRABTU5g4FTpn+DigaWb68t/682oosJpD0nuZNNLVLKj6MKHwyZJ5gkIqeeIDJCBIQO4WiBJjElv0slVgY08HQYcUhMRO4fAMkt35mVg0nfT+Lryur5cr6+rD0pPfOBVC0gTTQ6XwzCkIcZrDDOQvAwsAa5dqQ+9gJzyC/R5fbdeX40qKpz2kOTmNr1EJTuaHP6pm1I4bJJknoCQeo7IABkYMoCrBZLEmPQmnVwV2MjTYcAhNRGxcwgss3RnXgYmfTeNtysb1TjceK/aX1B7Xaln+pqm/R3Keovqic9cW5zAZ0MYDtVp0+9wZuT0er3ejCsqnPaQpBM2vUQlO5oc/mQDntRiP5MkjQEh9RyRATIwZABXCySJMelNOrkqsJGnw4BDaiJi5xBYZunOvAzo76Z5H/PdNN6uPK7XN/95r9pfUHut1At6/Xf5UX8T1Kgv7dn3uCxrn1UrMtdXS5n28Nbp9M8WpbcH0xfcq3Z0XFHhtIck/bHpJSrZ0eTwJxvwpBb7mSRpDAip54gMkIEhA7haIEmMSW/SyVWBjTwdBhxSE1HqncOpX00OrE7oTtl84dHbqO+m8aZvt7689F5kWrBdV29Pme1rmkxbPK4/1DdBfa7vTJNjdHfK53X5cRqmj3XwoXbqc/1w7ILwcL/r9ciiwmkPScZn00tUsqPJ4U824Ekt9jNJ0hgQUs8RGSADQwZwtUCSGJPepJOrAht5Ogw4pCai1DuHYbyB5ZHuLM7AV/WFR2/Vd9PsPvuP3QI77z5v14/dJlN2+FZeq8ah9zVNs3v/s15/rD8367fOYSVM8fmnYvqj77OT4tmD2ttRRfmp/tcjcg9yWLG8i4f3V2V7PbaocPpBkrvZ9BKV7Ghy+NLA8rWC/UySzBMQUn94tFQMS9k9HE07e9bNj/LwBHcnhx+n4Gj5PUbvgKsFkmTMpDfp5KqjRqO9Psp6H+TpMOCQGnPsHPq0Uk6Qgau1+sKja/WbdfX8sfcY9ZFTBz0z7nC93rysL3uvB8xou43ibrPebtbXPU7Us2xHhAenb9abrd+3AM0f1J6D2/W6+v+e/ljFCVw87MoEB3DaQ5Kb2fQSlexocvjSwIRUHUkx9jNJ0ggQUn94tFQMS9k9HE07e9bNj/LwBHcnhx+n4Gj5PUbvgKsFkmTMpDfp5KqjRqO9Psp6H+TpMOCQGnPsHPq0Uk6QAfWF+M0XHn2u/33ox79pz5EtNKkdui0m7qBeb5DfqDO/959X1R7/5mNFvd6g3ljj03zMH9ReZtSrKuoTxj5OSRMncFFuOBxNKCqc9pCkeZteopIdTQ5fGli+VrCfSZJ5AkLqD4+WimEpu4ejaWfPuvlRHqrOobt1fEy8dxy34RB1CgeW32P0DrhaIEmKTHqTTq46ajTa66Os90GeDgMOqTHHzqFPK+UUGVBPHW9uVGDqrTQ7/VDv01kg1Dl3UN/vell5rR9z2m5tXitmLue0q3zeXGuHj/k55+a2/aoXVbyckoZO4aLccTCa4ABOe0jSuk0vUcmOJocvP0c3IVVHUgyHTZI0AoTUHx4tFcNSdg9H086edfOjPDzB3cnhxyk4Wn6P0TvgaoEkGTPpTTq56qjRaK+Pst4HeToMOKTGHDuHPq2UU2Tgqf3Co+Uvzzl3+Df4Rp05bbdZ/k+96PA6p91X9TKJ17cAzbm5rXT/u1xfejklDZ3CRbnjYDTBAZz2kKR1m16ikh3NHP6EVB1JMRw2SdIIEFJ/eLRUDEvZPRxNO3vWzY/ykJ3DcTS5UKMzjasFktzMpDfp5KqjRqO9Psp6H+TpMOCQGnPsHPq0Uk6SgfVV/d00y1+es+6w2Yhv1JnVdpvmy/Vm3jvWxvNbgJYIaq+EVeewpztecRIXD7kzwQGc9pDkVja9RCU7mjn8Cak6juLdpsPBdUjdZC3Y9BI1HC0Vw1J2h/4bx2fd3OjRnvLsLp7CgeX3GL0DrhZIMkkmvUknVx01Gu31UdZ7oN4B0tPaRcQHqUGn3jnIV5PtDHEmYQbu1nUZLH95zrrDY+O1zsustlujL+uneTuHJ+mz9t36c4mg9jZ78XRKGjiJi3JLOZrgAE57SNK4TS9RyY5u3mcNbUKqjvLj5+G+wyFzkLrJWrDpJWo4WiqGpewO/TeOz7q50aM95dldPIUDy+8xegdcLZBkkkz6mQ6Q0V5LD52j/gHiBFcAxAypWZh653AUPQQlzID6O1rdo/85h045q7DkDkvZXsruUcSedfOjPBSfjjluxcwoI0ebI/5CBU57SPJSt+klKtnR180pUjXbHtfP+NZkZA6SzJNNL1HN6BSnpLGMZ+PGYeismzt8a6fP7uIpHFh+D+MO229T1fd1uFog9ef7z6Khn+0AMXp9XN14oPoHCII4IIELSA2cncMB2jgVPwPPD+pm+1XHsXxjP+8Ojdc6BfPabq2qLea1K33Wvlt/zru5bRtPp6SZ07go9xQjiwO7h2cBMw1w2kOSOJteojg6jgFLqo5b7IlC5iBJEza9RNWj+pRs9EvFsJRdQzT7qrNuvu+OSXN2F0/hwPJ7WHZ4u3S1DrhaIMk82fQSNWpk8XqUrVkXIWZIzQbsHGYlmsZCY+Dqp/No+ctzyR2Wsr2U3Y72Q8JZNz/kGObO7qLNgZ8rOGmRcNpDklCbXqI4Oo4BW6qOW+2HQuYgSQs2vUTVoxOckqfkZi/Cs26+541RcXYXT+HA8nvYdnhz/UUfXC2QZKJseokaNbJ5PcrYnIsQM6TGPjuHOXmmreAY6BX88pfnkjssZXspu0dVwlk3P8rDmV+TOW5PgbJy1CttsQADICBhtpJseoni6DgGrKk6brkXCpmDJA3Y9BJVj3rQpWJYyq4hmn3VWTffd8ekObuLp3Bg+T2sO/RK3ER/7yS0IW16ozk/pdVrPzPzoxEzpGYXdg7zs02LATHQK/jlL88ld1jK9lJ2j6qBs25+lIfsHI6jiSjFwCnLGQcbJJkEm16i6lEPulQMS9k1RLOvOuvm++6YNGd38RQOLL+HdYdeiZvoZ+fgyQo7ByNhVKbCQO/AWP4PNS65w1K2l7J7VAGddfOjPFTPBoP6267tx+Eq33ulbQkFCEgSatNLFEfHMXDKWkHmIEkvbXqJqkc96FIxLGXXEM2+6qyb77tj0pzdxVM4sPwecgeP0xKXACSZJ5teokaNpNdL/JHaUW717zHD6FPvHPitrCNLJpVlvYL/FF9CsMTlueQOS9leyu5RBXTWzY/yUHUO/ccSVePww+RAXdW90raYAAKShNr0EsXRcQyYUnXcSn8UMgdJWrHpJaoe9aBLxbCUXUM0+6qzbr7vjklzdhdP4cDye5h2qKu7V+Im+nu/h7EhbXqjOT+lyWs/CwuhETOkZqvUO4dhvAsRTLOhMtArgN1n/4HvN5zP9SV3WMr2UnaPYvWsmx/lYXl2F5UDde/SFG9TtnVV90rbEgoQkCTUppcojo5j4JS1gsxBkl7a9BJVj3rQpWJYyq4hmn3VWTffd8ekObuLp3Bg+T3UDuNOS1wCkGSebHqJGjVanpdRbuX8msOC2R6ZCy47KQMsgJPSzc2WYGCtfiMmCrkeCI1xWyAgSaBNL1EczcHAy39zWNE2kDlIeq75adNLVD3ygBpWU0UGAmJg3GmJSwCSDMqml6gFRvMeHF4OImZIjQG+5uBFJMGxMTAs+Nj8p79koKx/i9bnoa5qd2kDAalvpv87JannyMrAw/HvgJXQ2yP+dp91170JZBSSBNn0ElWPPKCG1VSRgYAYGHda4hKAJIOy6SXKPpKngR2nZiR03oPj4MbDScQMqcGwcxhyxXFSDAwLPqngGEwuDAzKuB4OdAYqgIAkYTa9RHHUY8DjPi6hctSzOEpE5iBJQza9RNUjD6hhNVVkICgGBuVcDwe6PX8xD0mCbHqJso88rn8JlSP7BgvMIGZIzTbsHBagmybDYWBY8OF4Rk/IwJEMjPstWv8VBdtlYNMf6VhWsO+7q+v733/rzXb7+6nkx78q/Pfby5t/modmoCcH0PoJwOvN5V39xylfrq7/+/eqF/r/ROYgSSs2vUTVIw+oYTVVZCAgBsadlrgEIMmgbHqJMozCOjgMDtpViBlSg2bnYGeNMwkwMCz4BEJiCLkxMO6du+wc5q2Ti4eP96efr6vbt7fdy8vH+/W1sv9aPH3899hu1A705ABadQ7/Vi/vtxeq5Xi6eH2/Xd+P9xAHGyRpzaaXqHrkATWspooMBMTAuNMSlwAkGZRNL1GGUVgHh8FBuwoxQ2rQqXcOx78n1c4eZyJmYFjwEYdC13NlYNxv0dg5zFovP8Vvba9778Bf8V2WF8+9TXqDelJCq9FFdUNaP5Xl6rUsdxfsHHrsUSQDczAw7rTEEwVI0hubXqL2R4EdHPsOHtAgZkgNPPXO4QApnMqBgWHB5xAzY0yOgUEZ18OBzhAzEJAkzKaXKI4qBi43jx/qR90O/D3dXF4W7+V31T2ox+/r6+uPHuhJCa1GPzX8/latq96ydMvOoWaP/5CBORkYnGr1cKDb2w7zkCTIppcowyisg8PgoF2FmCE1aHYOdtY4kwADw4JPIKQEQvj+7635BW4CsZwkhPr3aL1/qk3dpQ0EJOmuTS9RHFUM7F63q81P0w5c3X58fxdv5VfdAZTl583NzYce6EkJrUZNw/Bww86BJUUGFmOgd1B2L0C4TjrMQ5IO2vQSZRiFdXAYHLSrEDOkBs3Owc4aZxJgYFjwCYR0lhCeL28n7DtYvS3Ug28knEBotdRd2kBAkpva9BLFUcvA7vKxbgd+q4bhR3UOf+q/7tEOukkJrUY79TJFWV7fK6Fax885dNxlLAwORz8mJi322yputOukwzwkGbFNL1HmUUAHh9lBixYxQ2qg7BwslFGdBgPDgk8jqtNHcV9sJmwqVz8WxdNdUT+JmmAz+6Xu0gYCkqTNppcojhQDv+qtSn+bl/Lh+m+3K/6Vu5vq2f/dRr1d6bMlqBlgUkKrtzndXf6W/xVfZXm/+fx9WPHdSiytUh6OnoRMWuy5V9Rw10mHeUgyYJteovZHgR0c+w4e0CBmSA2cncMB2jgVPwPDgo8/otNG8H1/dXXz+Pe4KVbb7Wf5ur2+vH5S3w1TPl/dvL1uq2+Ved+2Ku2ZUlw9qF/K3m/VX839t30q9eoGsFsV6jnUZXGj8fw5igF3aQMBSW5l00sUR4qB74tiXWx35c/1qvj+V6xXLyvVOey2xUWhX45rB92khFadw991cbGqXm3b3a0uHuvLZyS5yBwkacqml6h65AE1rM5D9bj999/19bs6+G5Vp/iyfVZhN/9W8bfnJM68UuHfrq8qFE7IWtdWi16hD8cjjlZ9sGIXvbjahY9DDLhKHPOQpD2bXqL2R4EdHPsOHtAgZkgNnJ3DAdo4FT8Dw4KPP6KTRvCnni5dqmdKl9X7i4rX8malPhhaXKm/clmN19ULEc9FsbkoNlU30TyUYlUUF9/lRaEai61C69XN/FdRqI7irljpBfw5igF3aQMBSW5l00sURzUDv98o8t33rmXl77v3kZ1mgMkKI0e/3cKy3HR/CKK15fEDmYMkl9v0ElWPPKCG1XmoNqpFVI8b9d/qt3wrqq/aWqnXnuqHPidx5qlDb13hVbv43J2Ql8VGyXKFPhzdR6uy0xys2EUvziMFU6J0lTjmIcn9bHqJMo2COjhMDlp1iBlSA069c+Cbqa1FkcfEsODziHq2KD+LlXqG9Pn3d1dsfn93pXqfRfleFF+/RbEtv1fqLqik51LdOJ/0nvXUT/WL2K5z0KsbiFqv3u2tWg/93Euv5E8vBtylDQQkuYVNL1Eczc7A1+v3193FhCsAmYMkvbTpJaoeeUANq/NQqVddv76r34h8Vr9CKdfq2FMn2V+5U49Sn5M481TnsPpSvx8pfnsnpHqi//T9US/pVujD8dDRWu+BgxW76MV5pGBKlK4SxzwkuZ9NL1FLjyYfHF4OImZIjYHUO4dhvF60ERw/AyyASTlUd6uL6wf1Du/2/bRf281a/ertTd0z1Uv2W9U5qF++3W63F0X1Z7Hqh1KoqXv1kkLXOejVDYCdQ8vUxB/u0gYCktzUppcojmZn4Ptms9nWf0x6pGlkDpI0ZdNLVD3ygBpW56HaVG9KuyjuyrL6XYl6IWGj+oKt6hnUY9edkzjzLiu8mn3vnZCX1cu1zZIffbLqw/HA0drsgYPVdrLmkYhxUbpKHPOQ5E42vUQtPZp8cHg5iJghNQbYOXgRSXBsDAwLPjb/z+3vx416gVx9FLTpHH5XxeXDvXq3kbqLqd+RVZ3Df+rl9+qx1Z4qhZpSLyk097fb6mYpPsenfnH3Wq290Cv4cxQD7tIGApLcyqaXKI7CYwCZgyS9tOklqh55QA2r81BtqqahbgzqzuFvVbyvio+2cyj1OVkD6jPvUrUV6tt3i7feCXlZ2WiX6BVHHK1N54CD1Xay5pGIcVG6ShzzkORONr1EpTVCzJCaCNk5pJVpRjNgYFjwg2kO3Qz8Xhb3qhOomFQNw2/1Gv1/6jdmj9V7lDbqG+3rL0nadW/2Vgr15t+r4rLcqHunwtSfiujnofrF3U592tS9NREHGOhTaoYBAUkibXqJ4ig8BpA5SNJLm16i6pEH1LA6D9Wgc1BP+Nf1mdhFX5+TOPPU5xzU90OoX6P0Tsimc5Arjj5acbBaT9bOMoUhA64SxzwkacOml6i0RogZUhMhO4e0Ms1oBgwMC34wzeFhBr7XDy/P1YcY1C3w6vpX/fJr+6w++Pefesmg2KyqzzmUN8XF4/P9BT5RdF2s7q+r1xXUm3xvFFh1Ds1qvZUa3V7Vr0xoDX+OYMBd2kBAkhvZ9BLFUXgMIHOQpJc2vUTVIw+oYXUeqmHnoJ7I48Nd3TmJM+9SnXxqpE4/nJC9zqFbcfzR2h2s1pM1j0yMitJV4piHJDey6SUqrRFihtREyM4hrUwzmgEDw4IfTHN4mIHfTfU2XvVdlDv1UYbiu1R/imGlnvj/V/6pb5V82qoXFpRUQa7UZyHax5/qKooL9brDj1p8V323kl6tEc/qHVDrdz3iz3EMuEsbCEhyL5teojgKjwFkDpL00qaXqHrkATWszkM17BxK9duR7oMq3TmJM0+9W+lW/XpF/bkPnJC9zqFboQ9H99HaHaz2kzWPVIyJ0lXimIck97HpJSqtEWKG1ETIziGtTDOaAQPDgh9Mc+hi4O+79zWS6i7Yjqo3J6l3HFVv21VfO/kjvyRGKRqzP917mJqx/rcDaAV/+jPgLm0gIMl9bHqJ4ig8BpA5SNJLm16i6pEH1LA6U9Wj+Is03Tmpz7yqS/hVfUP12DshK2W3ohqoxxFHK85NvUuzlP86GXCVOOYhSaM2vUSlNULMkJoIU+8c8B6KtDLKaI5kYFjwRy4jzMHAy3p7ty5W7Z3RAeb0Egy4SxsISNITm16iOAqPAWQOkvTSppeoeuQBNazOUvV2X30++sCj9/rCAZRhikergZTJKleJYx6S3NSml6i0RogZUhNh6p1DWnlkNN4MDAve2wAXGBn4uFoVF1vROFRvWlIPI7xWNvMHAPalnNlnwF3aQECSdmx6ieIoPAaQOUjSS5teouqRB9SwOkvVfdH7aJeJgesL9UfgxjwMR+sYM1wjGHCVOOYhCQOlTS9RaY0QM6Qmwr3b+BCQFhGMJjcGWM8ny/h787Dv5wTYl3JmnwF3aQMBSdqx6SWKo/AYQOYgSS9teomqRx5Qw2qqyEDwDLhKHPOQZFA2vUSlNULMkJoI2TmklWlGM2BgWPCDaQ7JQKwMuEsbCEgyWpteojgKjwFkDpL00qaXqHrkATWspooMBM+Aq8QxD0kGZdNLVFojxAypiZCdQ1qZZjQDBoYFP5jmkAzEyoC7tIGAJKO16SWKo/AYQOYgSS9teomqRx5Qw2qqyEDwDLhKHPOQZFA2vUSlNULMkJoI2TmklWlGM2BgWPCDaQ7JQKwMuEsbCEgyWpteojgKjwFkDpL00qaXqHrkATWspooMBM+Aq8QxD0kGZdNLVFojxAypiZCdQ1qZZjQDBoYFP5jmkAzEyoC7tIGAJKO16SWKo/AYQOYgSS9teomqRx5Qw2qqyEDwDLhKHPOQZFA2vUSlNULMkJoIU+8c+K2saVWydzTDgvc2wAVkIEwG3KUNBCQZi00vURyFxwAyB0l6adNLVD3ygBpWU0UGgmfAVeKYhySDsuklKq0RYobURJh65zCMN628MhonAywAJ0UExMmAu7SBgCRjtekliqPwGEDmIEkvbXqJqkceUMNqqshA8Ay4ShzzkGRQNr1EpTVCzJCaCNk5pJVpRjNgYFjwg2kOyUCsDLhLGwhIMlqbXqI4Co8BZA6S9NKml6h65AE1rKaKDATPgKvEMQ9JBmXTS1RaI8QMqYmQnUNamWY0AwaGBT+Y5pAMxMqAu7SBgCSjtekliqPwGEDmIEkvbXqJqkceUMNqqshA8Ay4ShzzkGRQNr1EpTVCzJCaCNk5pJVpRjNgYFjwg2kOyUCsDLhLGwhIMlqbXqI4Co8BZA6S9NKml6h65AE1rKaKDATPgKvEMQ9JBmXTS1RaI8QMqYmQnUNamWY0AwaGBT+Y5pAMxMqAu7SBgCSjtekliqPwGEDmIEkvbXqJqkceUMNqqshA8Ay4ShzzkGRQNr1EpTVCzJCaCNk5pJVpRjNgYFjwg2kOyUCsDLhLGwhIMlqbXqI4Co+BLnOfG4tzHcIy31N7QHurKJKBaBhwlTjmIcngbHqJSmvUxbx3yqTeOfBbWdOqZO9outL3XskFZCBoBtylDQQkGZJNL1EchceAztzn5afFOY2wTPfVHtD+MspkIBYGXCWOeUgyNpteotIa6Zj3T5nUO4e08shovBnQpe+9kAvIQNgMuEsbCEgyJpteojgKj4E2c/u39M5Vj9x6QDvzFMhARAy4ShzzkGR4Nr1EpTVqYzacMuwc0so0oxkwkOPlPqCAwzQZcJc2EJAkFza9RHEUHgNN5gy39M5Vj9x6QDvzFMhARAy4ShzzkGR4Nr1EpTVqYjadMuwc0so0oxkwkOPlPqCAwzQZcJc2EJAkFza9RHEUHgN15ky39M5Vj9x6QDvzFMhARAy4ShzzkGR4Nr1EpTWqYzaeMuwc0so0oxkwkOPlPqCAwzQZcJc2EJAkFza9RHEUHgNV5oy39M5Vj9x6QDvzFMhARAy4ShzzkGR4Nr1EpTWqYjafMuwc0so0oxkwkOPlPqCAwzQZcJc2EJAkFza9RHEUHgMqc+ZbeueqR249oJ15CmQgIgZcJY55SDI8m16i0hqpmC2nDDuHtDLNaAYM5Hi5DyjgME0G3KUNBCTJhU0vURyFx8DadkvvXPXIrQe0M0+BDETEgKvEMQ9JhmfTS1RaI/spk3rnwG9lTauSvaPJ8XL3JokLYmTAXdpAQJKR2vQSxVF4DKwtvwuEpx659YDCPiUyEA8DrhLHPCQZnU0vUWmN7KdM6p1DjtlOq3YnRsMCmEggl4fKgLu0gYAko7HpJYqj8BhYW/+Og/bVI7ceUG2dP8lATAy4ShzzkGR8Nr1EpTWynzLsHNLKNKMZMJDj5T6ggMM0GXCXNhCQJBdrPmJlwPYH4LoE23LeASB4QLGIEhmIhwFXiWMekowu1oNikt/WU4adg6wOjhJjwHYMJBYmw8mPAXdpAwEpP55yjdgj5x7QXNlk3HEz4CpxzEOKO+JlvWfnsCy/tH5mBngMnDkB3H4pBtylDQSkpbyh3dAY8Mi5BzS0KOkPGTiGAVeJYx7SMXZzxbBzyDXzmcTNYyCTROcXpru0gYCUH0+5RuyRcw9ormwy7rgZcJU45iHFHfGy3rNzWJZfWj8zAzwGzpwAbr8UA+7SBgLSUt7QbmgMeOTcAxpalPSHDBzDgKvEMQ/pGLu5YlLvHPitrLlWdhs3j4HMCyDd8N2lDQSkdPlgZJIBj5x7QOUeHJGBOBhwlTjmIcUR2Xm8TL1zOA+r3DUYBngMBJMKOjIvA+7SBgLSvD7QWrgMeOTcAxpuvPSMDNgZcJU45iHZrXGGnQNrIGkGeAwknd6cg3OXNhCQcmYsr9g9cu4BzYtDRpsKA64SxzykVGJfIg52DkuwSpvBMMBjIJhU0JF5GXCXNhCQ5vWB1sJlwCPnHtBw46VnZMDOgKvEMQ/Jbo0z7BxYA0kzwGMg6fTmHJy7tIGAlDNjecXukXMPaF4cMtpUGHCVOOYhpRL7EnGwc1iCVdoMhgEeA8Gkgo7My4C7tIGANK8PtBYuAx4594CGGy89IwN2BlwljnlIdmucYefAGkiaAR4DSac35+DcpQ0EpJwZyyt2j5x7QPPikNGmwoCrxDEPKZXYl4gj9c6B38q6RNVEZJPHQETJoqs+DLhLGwhIPjsQGzMDHjn3gMbMCH3PlwFXiWMeUr5suSNPvXNgFbhrIGkECyDp9OYcnLu0gYCUM2N5xe6Rcw9oXhwy2lQYcJU45iGlEvsScbBzWIJV2gyGAR4DwaSCjszLgLu0gYA0rw+0Fi4DHjn3gIYbLz0jA3YGXCWOeUh2a5xh58AaSJoBHgNJpzfn4NylDQSknBnLK3aPnHtA8+KQ0abCgKvEMQ8pldiXiIOdwxKs0mYwDPAYCCYVdGReBtylDQSkeX2gtXAZ8Mi5BzTceOkZGbAz4CpxzEOyW+MMOwfWQNIM8BhIOr05B+cubSAg5cxYXrF75NwDmheHjDYVBlwljnlIqcS+RBzsHJZglTaDYYDHQDCpoCPzMuAubSAgzesDrYXLgEfOPaDhxkvPyICdAVeJYx6S3RpnUu8c+K2smdc4j4HMCyDd8N2lDQSkdPlgZJIBj5x7QOUeHJGBOBhwlTjmIcUR2Xm8TL1zOA+r3DUYBngMBJMKOjIvA+7SBgLSvD7QWrgMeOTcAxpuvPSMDNgZcJU45iHZrXGGnQNrIGkGeAwknd6cg3OXNhCQcmYsr9g9cu4BzYtDRpsKA64SxzykVGJfIg52DkuwSpvBMMBjIJhU0JF5GXCXNhCQ5vWB1sJlwCPnHtBw46VnZMDOgKvEMQ/Jbo0z7BxYA0kzwGMg6fTmHJy7tIGAlDNjecXukXMPaF4cMtpUGHCVOOYhpRL7EnGwc1iCVdoMhgEeA8Gkgo7My4C7tIGANK8PtBYuAx4594CGGy89IwN2BlwljnlIdmucYefAGkiaAR4DSac35+DcpQ0EpJwZyyt2j5x7QPPikNGmwoCrxDEPKZXYl4gj9c6B38q6RNVEZJPHQETJoqs+DLhLGwhIPjsQGzMDHjn3gMbMCH3PlwFXiWMeUr5suSNPvXNgFbhrIGkECyDp9OYcnLu0gYCUM2N5xe6Rcw9oXhwy2lQYcJU45iGlEvsScbBzWIJV2gyGAR4DwaSCjszLgLu0gYA0rw+0Fi4DHjn3gIYbLz0jA3YGXCWOeUh2a5xh58AaSJoBHgNJpzfn4NylDQSknBnLK3aPnHtA8+KQ0abCgKvEMQ8pldiXiIOdwxKs0mYwDPAYCCYVdGReBtylDQSkeX2gtXAZ8Mi5BzTceOkZGbAz4CpxzEOyW+MMOwfWQNIM8BhIOr05B+cubSAg5cxYXrF75NwDmheHjDYVBlwljnlIqcS+RBzsHJZglTaDYYDHQDCpoCPzMuAubSAgzesDrYXLgEfOPaDhxkvPyICdAVeJYx6S3RpnUu8c+K2smdc4j4HMCyDd8N2lDQSkdPlgZJIBj5x7QOUeHJGBOBhwlTjmIcUR2Xm8TL1zOA+r3DUYBngMBJMKOjIvA+7SBgLSvD7QWrgMeOTcAxpuvPSMDNgZcJU45iHZrXGGnQNrIGkGeAwknd6cg3OXNhCQcmYsr9g9cu4BzYtDRpsKA64SxzykVGJfIg52DkuwSpvBMMBjIJhU0JF5GXCXNhCQ5vWB1sJlwCPnHtBw46VnZMDOgKvEMQ/Jbo0z7BxYA0kzwGMg6fTmHJy7tIGAlDNjecV+MOc/r389Ng5CeziKZCBSBlwljnlIkYZ6ErfZOZyEZm5yLgZ4DJyLee67MAPu0gYC0sJO0XwwDBzO+efl/U/n6mFoB6NABmJlwFXimIcUa6yn8JudwylY5h5nY4DHwNmo58bLMuAubSAgLesTrYfDgCPnn5v1zUfrrQMaTkz0hAyMY8BV4piHNG6nPFal3jnwW1nzqGNrlDwGrNRwIm4G3KUNBKS4Y6b3xzPgyrlqHdaXr7U9F/T4TYkkA0Ey4CpxzEMKMpBAnEq9c2AVBFJo53KDBXAu5rnvwgy4SxsISAs7RfPBMODM+eel6h02T+oDD05oMEHRETIwigFXiWMe0qiNMlnEziGTROcaJo+BXDOffNzG0n5Z14/mtdZ1N6qx7ehfw8xzg3xtRk/NqJ3r1tWTHK3b164TY+KmTvrmi51D8odF9gEaT8seK5iH1JumOGCAncOAEA7TYoDHQFr5ZDQdA+7SBgJSt5xC4gw4c87XHBKvAIYHBlxXA+YhYTWlIQPsHIaMcJwUAzwGkkongwED7tIGAhLWU0qbAVfO+TmHtPPP6PoMuK4GzEPqr6csGWDnIPngKDEGeAwkllCGoxlwlzYQkPRq/kydAUfO+d1KqRcA4+sx4Lgaem/YcyF7RjMW2TlknPwcQucxkEOWs4zRXdpAQMqSqiyDPpxz/j2HLIsi26APXw39LwlwIbOlUASeeufAb2UV6c5vwGMgv5xnErG7tIGAlAk5DLP3W1QDGfwb0gZSqEqXAdcJiHlI6bIxPbLUO4fpDNFC1AzwGIg6fXTezoC7tIGAZLfHmbQY8Mi5BzQtjhhNLgy4ShzzkHLhZkyc7BzGsMY10TDAYyCaVNFRPwbcpQ0EJL89iI6XAY+ce0Dj5YOe58yAq8QxDylnvlyxs3NwMcT5qBngMRB1+ui8nQF3aQMByW6PM2kx4JFzD2haHDGaXBhwlTjmIeXCzZg42TmMYY1romGAx0A0qaKjfgy4SxsISH57EB0vAx4594DGywc9z5kBV4ljHlLOfLliZ+fgYojzUTPAYyDq9NF5OwPu0gYCkt0eZ9JiwCPnHtC0OGI0uTDgKnHMQ8qFmzFxsnMYwxrXRMMAj4FoUkVH/RhwlzYQkPz2IDpeBjxy7gGNlw96njMDrhLHPKSc+XLFnnrnwG9ldVVA4vM8BhJPcL7huUsbCEj58pVb5B4594DmxiLjTYMBV4ljHlIakS8TReqdA6tgmbqJxioLIJpU0VE/BtylDQQkvz2IjpcBj5x7QOPlg57nzICrxDEPKWe+XLGzc3AxxPmoGeAxEHX66LydAXdpAwHJbo8zaTHgkXMPaFocMZpcGHCVOOYh5cLNmDjZOYxhjWuiYYDHQDSpoqN+DLhLGwhIfnsQHS8DHjn3gMbLBz3PmQFXiWMeUs58uWJn5+BiiPNRM8BjIOr00Xk7A+7SBgKS3R5n0mLAI+ce0LQ4YjS5MOAqccxDyoWbMXGycxjDGtdEwwCPgWhSRUf9GHCXNhCQ/PYgOl4GPHLuAY2XD3qeMwOuEsc8pJz5csXOzsHFEOejZoDHQNTpo/N2BtylDQQkuz3OpMWAR849oGlxxGhyYcBV4piHlAs3Y+JMvXPgt7KOqYqE1vAYSCiZDKXPgLu0gYDUt0A5ZQY8cu4BTZkxxpYuA64SxzykdNmYHlnqncN0hmghagZ4DESdPjpvZ8Bd2kBAstvjTFoMeOTcA5oWR4wmFwZcJY55SLlwMyZOdg5jWOOaaBjgMRBNquioHwPu0gYCkt8eRMfLgEfOPaDx8kHPc2bAVeKYh5QzX67Y2Tm4GOJ81AzwGIg6fXTezoC7tIGAZLfHmbQY8Mi5BzQtjhhNLgy4ShzzkHLhZkyc7BzGsMY10TDAYyCaVNFRPwbcpQ0EJL89iI6XAY+ce0Dj5YOe58yAq8QxDylnvlyxs3NwMcT5qBngMRB1+ui8nQF3aQMByW6PM2kx4JFzD2haHDGaXBhwlTjmIeXCzZg42TmMYY1romGAx0A0qaKjfgy4SxsISH57EB0vAx4594DGywc9z5kBV4ljHlLOfLliT71z4Leyuiog8XkeA4knON/w3KUNBKR8+cotco+ce0BzY5HxpsGAq8QxDymNyJeJIvXOgVWwTN1EY5UFEE2q6KgfA+7SBgKS3x5Ex8uAR849oPHyQc9zZsBV4piHlDNfrtjZObgY4nzUDPAYiDp9dN7OgLu0gYBkt8eZtBjwyLkHNC2OGE0uDLhKHPOQcuFmTJzsHMawxjXRMMBjIJpU0VE/BtylDQQkvz2IjpcBj5x7QOPlg57nzICrxDEPKWe+XLGzc3AxxPmoGeAxEHX66LydAXdpAwHJbo8zaTHgkXMPaFocMZpcGHCVOOYh5cLNmDjZOYxhjWuiYYDHQDSpoqN+DLhLGwhIfnsQHS8DHjn3gMbLBz3PmQFXiWMeUs58uWJn5+BiiPNRM8BjIOr00Xk7A+7SBgKS3R5n0mLAI+ce0LQ4YjS5MOAqccxDyoWbMXGm3jnwW1nHVEVCa3gMJJRMhtJnwF3aQEDqW6CcMgMeOfeApswYY0uXAVeJYx5SumxMjyz1zmE6Q7QQNQM8BqJOH523M+AubSAg2e1xJi0GPHLuAU2LI0aTCwOuEsc8pFy4GRMnO4cxrHFNNAzwGIgmVXTUjwF3aQMByW8PouNlwCPnHtB4+aDnOTPgKnHMQ8qZL1fs7BxcDHE+agZ4DESdPjpvZ8Bd2kBAstvjTFoMeOTcA5oWR4wmFwZcJY55SLlwMyZOdg5jWOOaaBjgMRBNquioHwPu0gYCkt8eRMfLgEfOPaDx8kHPc2bAVeKYh5QzX67Y2Tm4GOJ81AzwGIg6fXTezoC7tIGAZLfHmbQY8Mi5BzQtjhhNLgy4ShzzkHLhZkyc7BzGsMY10TDAYyCaVNFRPwbcpQ0EJL89iI6XAY+ce0Dj5YOe58yAq8QxDylnvlyxp9458FtZXRWQ+DyPgcQTnG947tIGAlK+fOUWuUfOPaC5sch402DAVeKYh5RG5MtEkXrnwCpYpm6iscoCiCZVdNSPAXdpAwHJbw+i42XAI+ce0Hj5oOc5M+AqccxDypkvV+zsHFwMcT5qBngMRJ0+Om9nwF3aQECy2+NMWgx45NwDmhZHjCYXBlwljnlIuXAzJk52DmNY45poGOAxEE2q6KgfA+7SBgKS3x5Ex8uAR849oPHyQc9zZsBV4piHlDNfrtjZObgY4nzUDPAYiDp9dN7OgLu0gYBkt8eZtBjwyLkHNC2OGE0uDLhKHPOQcuFmTJzsHMawxjXRMMBjIJpU0VE/BtylDQQkvz2IjpcBj5x7QOPlg57nzICrxDEPKWe+XLGzc3AxxPmoGeAxEHX66LydAXdpAwHJbo8zaTHgkXMPaFocMZpcGHCVOOYh5cLNmDhT7xz4raxjqiKhNTwGEkomQ+kz4C5tICD1LVBOmQGPnHtAU2aMsaXLgKvEMQ8pXTamR5Z65zCdIVqImgEeA1Gnj87bGXCXNhCQ7PY4kxYDHjn3gKbFEaPJhQFXiWMeUi7cjImTncMY1rgmGgZ4DESTKjrqx4C7tIGA5LcH0fEy4JFzD2i8fNDznBlwlTjmIeXMlyt2dg4uhjgfNQM8BqJOH523M+AubSAg2e1xJi0GPHLuAU2LI0aTCwOuEsc8pFy4GRMnO4cxrHFNNAzwGIgmVXTUjwF3aQMByW8PouNlwCPnHtB4+aDnOTPgKnHMQ8qZL1fs7BxcDHE+agZ4DESdPjpvZ8Bd2kBAstvjTFoMeOTcA5oWR4wmFwZcJY55SLlwMyZOdg5jWOOaaBjgMRBNquioHwPu0gYCkt8eRMfLgEfOPaDx8kHPc2bAVeKYh5QzX67YU+8c+K2srgpIfJ7HQOIJzjc8d2kDASlfvnKL3CPnHtDcWGS8aTDgKnHMQ0oj8mWiSL1zYBUsUzfRWGUBRJMqOurHgLu0gYDktwfR8TLgkXMPaLx80POcGXCVOOYh5cyXK3Z2Di6GOB81AzwGok4fnbcz4C5tICDZ7XEmLQY8cu4BTYsjRpMLA64SxzykXLgZEyc7hzGscU00DPAYiCZVdNSPAXdpAwHJbw+i42XAI+ce0Hj5oOc5M+AqccxDypkvV+zsHFwMcT5qBngMRJ0+Om9nwF3aQECy2+NMWgx45NwDmhZHjCYXBlwljnlIuXAzJk52DmNY45poGOAxEE2q6KgfA+7SBgKS3x5Ex8uAR849oPHyQc9zZsBV4piHlDNfrtjZObgY4nzUDPAYiDp9dN7OgLu0gYBkt8eZtBjwyLkHNC2OGE0uDLhKHPOQcuFmTJypdw78VtYxVZHQGh4DCSWTofQZcJc2EJD6FiinzIBHzj2gKTPG2NJlwFXimIeULhvTI0u9c5jOEC1EzQCPgajTR+ftDLhLGwhIdnucSYsBj5x7QNPiiNHkwoCrxDEPKRduxsTJzmEMa1wTDQM8BqJJFR31Y8Bd2kBA8tuD6HgZ8Mi5BzRePuh5zgy4ShzzkHLmyxU7OwcXQ5yPmgEeA1Gnj87bGXCXNhCQ7PY4kxYDHjn3gKbFEaPJhQFXiWMeUi7cjImTncMY1rgmGgZ4DESTKjrqx4C7tIGA5LcH0fEy4JFzD2i8fNDznBlwlTjmIeXMlyt2dg4uhjgfNQM8BqJOH523M+AubSAg2e1xJi0GPHLuAU2LI0aTCwOuEsc8pFy4GRMnO4cxrHFNNAzwGIgmVXTUjwF3aQMByW8PouNlwCPnHtB4+aDnOTPgKnHMQ8qZL1fsqXcO/FZWVwUkPs9jIPEE5xueu7SBgJQvX7lF7pFzD2huLDLeNBhwlTjmIaUR+TJRpN45sAqWqZtorLIAokkVHfVjwF3aQEDy24PoeBnwyLkHNF4+6HnODLhKHPOQcubLFTs7BxdDnI+aAR4DUaePztsZcJc2EJDs9jiTFgMeOfeApsURo8mFAVeJYx5SLtyMiZOdwxjWuCYaBngMRJMqOurHgLu0gYDktwfR8TLgkXMPaLx80POcGXCVOOYh5cyXK3Z2Di6GOB81AzwGok4fnbcz4C5tICDZ7XEmLQY8cu4BTYsjRpMLA64SxzykXLgZEyc7hzGscU00DPAYiCZVdNSPAXdpAwHJbw+i42XAI+ce0Hj5oOc5M+AqccxDypkvV+zsHFwMcT5qBngMRJ0+Om9nwF3aQECy2+NMWgx45NwDmhZHjCYXBlwljnlIuXAzJs7UOwd+K+uYqkhoDY+BhJLJUPoMuEsbCEh9C5RTZsAj5x7QlBljbOky4CpxzENKl43pkaXeOUxniBaiZoDHQNTpo/N2BtylDQQkuz3OpMWAR849oGlxxGhyYcBV4piHlAs3Y+Jk5zCGNa6JhgEeA9Gkio76MeAubSAg+e1BdLwMeOTcAxovH/Q8ZwZcJY55SDnz5YqdnYOLIc5HzQCPgajTR+ftDLhLGwhIdnucSYsBj5x7QNPiiNHkwoCrxDEPKRduxsTJzmEMa1wTDQM8BqJJFR31Y8Bd2kBA8tuD6HgZ8Mi5BzRePuh5zgy4ShzzkHLmyxU7OwcXQ5yPmgGvY2D32X/sog6czqfOgLu0gYCUOiuMTzPgkXMPqLbOn8cxwHvKcTwtjXKVOOYhLe1TzPbZOcScPfruZMDrGPhc9x+fTuMEkIHzMeAubSAgnc9f7nxaBjxy7gE9bQzx78Z7Shg5dJU45iGF4XmYXqTeOfBbWcOsu5N55XUMfK7/fejHvzU7h5NliRuNYMBd2kBAGrERl0TJgEfOPaBRUnFGp3lPOSP5va1dJY55SL3lFAcMpN45sAoGCc9t6FUAn+uPnX58sHPIrVYii9dd2kBAiixIujuaAY+ce0BHu5PpQt5Twki8q8QxDykMz8P0gp1DmHmhVzMx4HUM8JSfiXWaOQED7tIGAtIJHOMWQTDgkXMPaBChReQE7ylhJMtV4piHFIbnYXrBziHMvNCrmRjwOgZ4ys/EOs2cgAF3aQMB6QSOcYsgGPDIuQc0iNAicoL3lCCStds43MAlAMmxJOtpdg5Zpz/94G/ePWLkKe9BFqHnZeD9xrk/7oGQnIsISIQBj5x7nZKJ0HOiMHhPORHRB7f5ebg/OF+WuFogOZZkPZ1857BuPyP90nxrDkdlXkw89r8tyS33P+fgRhNBBs7GwM2X886FeyAk5yICEmHAI+dfN2cr4/Q35j3l/Dm+fnZ9xzquFkiJHASLhJF657AIaTSaKAP8/VCiic00LNwDIWVKRYZhM+chJJ33lBCy4PYBVwsk96p8Eewc8s09Ix8ywFN+yAjHMTOAeyCkmOOh7z4MMOc+bC2F5T1lKWbntYurBdK8O6RljZ1DWvlkNFMY4Ck/hT2uDY0B3AMhheYj/VmKAeZ8KWZ97PKe4sPW+bC4WiCdz5vwd2bnEH6O6OGpGOApfyqmuc8pGMA9ENIp9uUeITDAnIeQBd5TQsiC2wdcLZDcq/JFsHPIN/eMfMgA/97nkBGOY2YA90BIMcdD330YYM592FoKy3vKUszOaxdXC6R5d0jLGjuHtPLJaKYw8Cm+BOJziimuJQNnZwD3QEhnd4oOnIgB5vxERB/chveUg/QEM4mrBVIwzgXoCDuHAJNCl87EwO6z/3B9j9uZnOS2ZOBIBnAPhHTkUsKiZ4A5DyGFvKeEkAW3D7haILlX5Ytg55Bv7jOI/Ovt7fvoMF/+OxpKIBmIgAHcAyFF4DZdnIUB5nwWGodGeE8ZMpLEGFcLpCQCWygIdg4LEUuzATBwv7q8LLZ2Rx7aPwzYIG4f7Mj9Gbm2m7eou3kKZOBkDOAeCOlkm3OjMzPAnC+RAN5TlmD1/DZxtUA6v1fhesDOIdzc0LOpDPwqA1/Fq9WM7BXkyLqonbCgLWqXNc6TgfkZwD0Q0vy70GKYDDDnS+SF95QlWD2/TVwtkM7vVbgesHMINzf0bCwD33dX1/fVEV891s/Nz+rf99vLm3/lp5p+/CvLf+vNdvurR2X9pP/15vLuRyFfrq7/+/eKlVr/+K50aqJZ+/zfv6vrCiXVWEaJDJyPAdwDIZ3PG+58WgaY8zn55j1lTjbDs4WrBVJ4XobjETuHcHJBT+Zi4OLh4/2pev5fln//Vvikw2vx9PHfY/ny8vF+fa1ejri6fXvb6VHdOfxbvbzfXvyVTxev77fr+84hrS8vqzc4be/btTfr7ftLoT4fIdXdMgpk4IwM4B4I6YzucOuTMsCcz0k37ylzshmeLVwtkMLzMhyP2DmEkwt6MhMDP4V+veG7KFZvsHqBlx/+CtVQdG8t6kYXVWOwfipXr2W5u0DnoPVdi9Csvdko+OMlOgeYxK6UyMB5GMA9ENJ5POGup2eAOZ+Rc95TZiQzRFO4WiCF6GcoPrFzCCUT9GM+Bi43jx+Ntd/vp6IVy/K76hbU4+/pRn1yWr3tqO4c+qOfGnF/+11Ur1jcdp2D1g9bhJsK8VHsBg1FtQkfZODcDOAeCOncPnH/UzHAnM/JNO8pc7IZni1cLZDC8zIcj9g5hJMLejIXA7vX7WrTvFtJPf+/1Wa/6n6gLK9uP76/C/VaRN059EdNx/BwM+wctH6vc6i+jumz+GPnoDnmz4AYwD0QUkDu0ZVFGWDO56SX95Q52QzPFq4WSOF5GY5H7BzCyQU9mZGB3eVja+32Rpv9q7qFsvytGogf3TmI0a56JaK8vt/VSHzOQevV3JMCXKmXGuqu46ay/boaqpWSDzJwdgZwD4R0dqfowIkYYM5nJpr3lJkJDckcrhZIIfkXmi/sHELLCP2ZzMCven/S30Z9YuHfT7l7Lf51Bu826u1Knzul2d1UvcHD9d8Oo6oXuLv8Lf8rvsr7zefvw6p7t1KnLx83f+VroSaqtWVl5XejehSp7jakQAbOyADugZDO6A63PikDzPmMdPOeMiOZIZrC1QIpRD9D8YmdQyiZoB+zMfB9UayL7U69ElAURe9T0eVuW1wUt+W/Yr16qT45/XO9Kr67UdU5/F0XFyvVc+zuVhePW/2yBfTl32Wx2qrvVmrW3txfXRQ3aiepni0SGiIDExjAPRDSBHNcGhUDzPmM6eI9ZUYyQzSFqwVSiH6G4hM7h1AyQT9mZOD3W/25BvX4+/6VVhvF7ls92e8ecvSLuQ1erVDvcdL6n57Jm8fyp/08RV/dmaZABs7IAO6BkM7oDrc+KQPM+ax0854yK52hGcPVAik0H0Pyh51DSNmgL6Ew8PX6/XV30e8vjJ6pzoEPMhAqA7gHQgrVV/o1NwPM+dyMTrPHe8o0/pZdjasF0rI7xm2dnUPc+aP3RzDwu20evRcLXKu+bzab7U/pWrl9dhniPBk4GwO4B0I6mzPc+MQMMOcLEu66Mxi25j3FQEowKlwtkIJxLkBH2DkEmBS6NC8Du/fm4XwJYW/b8Sv3TFFBBk7NAO6BkE7tA/c7FwPM+YLMj78zjF+5YDg0jasFElmxM8DOwc4NZ8gAGSAD8TKAeyCkeKOh534MMOd+fBGdMwO4WiDlzIcrdnYOLoY4TwbIABmIkQHcAyHFGAd9HsMAcz6GNa7JkwFcLZDyZOK4qNk5HMcTUWSADJCBuBjAPRBSXBHQ2/EMMOfjuePK3BjA1QIpNw584mXn4MMWsWSADJCBWBjAPRBSLL7Tz6kMMOdTGeT6fBjA1QIpn+j9I2Xn4M8ZV5ABMkAGwmcA90BI4XtND+dhgDmfh0dayYEBXC2Qcoh7bIzsHMYyx3VkgAyQgZAZwD0QUsj+0rc5GWDO52STttJmAFcLpLQjnhYdO4dp/HE1GSADZCBMBnAPhBSmp/RqfgaY8/k5pcVUGcDVAinVWOeIi53DHCzSBhkgA2QgNAZwD4QUmo/0ZykGmPOlmKXd9BjA1QIpvSjni4idw3xc0hIZIANkIBwGcA+EFI539GRZBpjzZfml9ZQYwNUCKaX45o6FncPcjNIeGSADZCAEBnAPhBSCX/ThFAww56dgmXukwQCuFkhpRLZMFOwcluGVVskAGSAD52UA90BI5/WIu5+OAeb8dFxzp9gZwNUCKfaYlvSfncOS7NI2GSADZOBcDOAeCOlcvnDfUzPAnJ+ace4XLwO4WiDFG83ynrNzWJ5j7kAGyAAZOD0DuAdCOr0X3PE8DDDn5+Gdu8bIAK4WSDHGcSqf2TmcimnuQwbIABk4JQO4B0I65f7c65wMMOfnZJ97x8UArhZIcUVwWm/ZOZyWb+5GBsgAGTgNA7gHQjrNztzl/Aww5+fPAT2IhQFcLZBi8f0cfrJzOAfr3JMMkAEysDQDuAdCWnpP2g+FAeY8lEzQj/AZwNUCKXyvz+chO4fzcc+dyQAZIAPLMYB7IKTldqPlsBhgzsPKB70JmQFcLZBC9vfcvrFzOHcGuD8ZIANkYAkGunvg52YJ87QZNANd9oP2ks6RgRAY6K4WnpVHpYOdw1E0EUQGyAAZiIwBfTf8vPyMzHO6O50Bnf3plmiBDKTOgL5aeFYel2l2DsfxRBQZIANkIC4G2rshb4ZxpW0mb/VzoZnM0QwZSJgBnpV+yWXn4McX0WSADJCBOBho7oZsHOLI1txesnOYm1HaS5cBnpV+uWXn4McX0WSADJCBOBio74ZsHOJI1uxesnOYnVIaTJYBnpV+qWXn4McX0WSADJCBOBio7oZsHOLI1fxesnOYn1NaTJUBnpV+mWXn4McX0WSADJCBOBhQd0M2DnGkagEv2TksQCpNJsoAz0q/xLJz8OOLaDJABshAHAys2TjEkahFvGTnsAitNJokAzwr/dLKzsGPL6LJABkgA3EwsOYrDnEkahEv2TksQiuNJskAz0q/tLJz8OOLaDJABshAHAys+Xcc4kjUIl6yc1iEVhpNkgGelX5p3e8c1nyQATJABshA/AzwD8D53Q6TQsdfvoyADJyMAZ6VXqffXufgtZpgMkAGyAAZIANkgAyQATJABvJggJ1DHnlmlGSADJABMkAGyAAZIANkYBoD7Bym8cfVZIAMkAEyQAbIABkgA2QgDwbYOeSRZ0ZJBsgAGSADZIAMkAEyQAamMcDOYRp/XE0GyAAZIANkgAyQATJABvJggJ1DHnlmlGSADJABMkAGyAAZIANkYBoD7Bym8cfVZIAMkAEyQAbIABkgA2QgDwbYOeSRZ0ZJBsgAGSADZIAMkAEyQAamMcDOYRp/XE0GyAAZIANkgAyQATJABvJggJ1DHnlmlGSADJABMkAGyAAZIANkYBoD7Bym8cfVZIAMkAEyQAbIABkgA2QgDwbYOeSRZ0ZJBsgAGSADZIAMkAEyQAamMcDOYRp/XE0GyAAZIANkgAyQATJABvJggJ1DHnlmlGSADJABMkAGyAAZIANkYBoD7Bym8cfVZIAMkAEyQAbIABkgA2QgDwb+B2QTg7DRw/JQAAAAAElFTkSuQmCC", + "image/png": 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -795,7 +807,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 15, "id": "37bb7754", "metadata": {}, "outputs": [ @@ -844,31 +856,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "81dce561", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "```json\n", - "{\n", - " \"water_bodies\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-q5mw75/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "parsed_args = argparse.Namespace(\n", " podman=False,\n", @@ -888,16 +879,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", - "md = f\"\"\"\n", + " ### Outputs\n", "\n", - "### Outputs\n", + " ```json\n", + " {stream_out.getvalue()}\n", + " ```\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", "\n", - "```json\n", - "{stream_out.getvalue()}\n", - "```\n", - "\"\"\"\n", + " ### Errors\n", + "\n", + " CWL execution terminated with errors:\n", + "\n", + " ```\n", + " {stream_err.getvalue()}\n", + " ```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] @@ -907,14 +908,6 @@ "id": "d0accb70", "metadata": {}, "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e44ab947", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -933,7 +926,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.6" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-10.ipynb b/docs/pattern-10.ipynb index dba90e1..ed7948b 100644 --- a/docs/pattern-10.ipynb +++ b/docs/pattern-10.ipynb @@ -837,7 +837,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "2c1460a5", "metadata": {}, "outputs": [ @@ -898,16 +898,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-11.ipynb b/docs/pattern-11.ipynb index af1f924..33abca0 100644 --- a/docs/pattern-11.ipynb +++ b/docs/pattern-11.ipynb @@ -869,7 +869,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "2b07440c", "metadata": {}, "outputs": [ @@ -916,16 +916,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-12.ipynb b/docs/pattern-12.ipynb index 7935c0e..4e700fb 100644 --- a/docs/pattern-12.ipynb +++ b/docs/pattern-12.ipynb @@ -41,24 +41,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:55:56.413\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:56.414\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n" + "\u001b[32m2025-12-01 16:13:27.345\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 16:13:27.346\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", + "\u001b[32m2025-12-01 16:13:27.370\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-01 16:13:27.371\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-01 16:13:27.371\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-01 16:13:27.371\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:55:56.472\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:56.473\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:56.479\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.454\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-12...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.455\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool crop...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.455\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool norm_diff...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.456\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool otsu...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.456\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:57.456\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-12.cwl successfully load!\u001b[0m\n" + "ename": "ValidationException", + "evalue": "Value is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mValidationException\u001b[39m Traceback (most recent call last)", + "\u001b[32m/tmp/ipykernel_2089446/3171673199.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m wf = WorkflowViewer.from_file(app_cwl_file, entrypoint)\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/docs/helpers.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(cwl_file, entrypoint)\u001b[39m\n\u001b[32m 26\u001b[39m @staticmethod\n\u001b[32m 27\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m from_file(cwl_file, entrypoint):\n\u001b[32m---> \u001b[39m\u001b[32m28\u001b[39m workflow = load_cwl_from_location(path=cwl_file)\n\u001b[32m 29\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m WorkflowViewer(cwl_file, workflow, entrypoint)\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(path, cwl_version, sort)\u001b[39m\n\u001b[32m 257\u001b[39m \n\u001b[32m 258\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _load_cwl_from_stream(TextIOWrapper(buffer, encoding=__DEFAULT_ENCODING__))\n\u001b[32m 259\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m os.path.exists(path):\n\u001b[32m 260\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m open(path, \u001b[33m'r'\u001b[39m, encoding=__DEFAULT_ENCODING__) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[32m--> \u001b[39m\u001b[32m261\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _load_cwl_from_stream(f)\n\u001b[32m 262\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 263\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ValueError(f\"Invalid source {path}: not a URL or existing file path\")\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(stream)\u001b[39m\n\u001b[32m 230\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m _load_cwl_from_stream(stream):\n\u001b[32m 231\u001b[39m logger.debug(f\"Reading stream from {path}...\")\n\u001b[32m 232\u001b[39m \n\u001b[32m--> \u001b[39m\u001b[32m233\u001b[39m loaded = load_cwl_from_stream(\n\u001b[32m 234\u001b[39m content=stream,\n\u001b[32m 235\u001b[39m uri=path,\n\u001b[32m 236\u001b[39m cwl_version=cwl_version,\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(content, uri, cwl_version, sort)\u001b[39m\n\u001b[32m 201\u001b[39m cwl_content = _yaml.load(content)\n\u001b[32m 202\u001b[39m \n\u001b[32m 203\u001b[39m logger.debug(f\"CWL data of type {type(cwl_content)} successfully loaded from stream\")\n\u001b[32m 204\u001b[39m \n\u001b[32m--> \u001b[39m\u001b[32m205\u001b[39m return load_cwl_from_yaml(\n\u001b[32m 206\u001b[39m raw_process=cwl_content,\n\u001b[32m 207\u001b[39m uri=uri,\n\u001b[32m 208\u001b[39m cwl_version=cwl_version,\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(raw_process, uri, cwl_version, sort)\u001b[39m\n\u001b[32m 148\u001b[39m \n\u001b[32m 149\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m fragment:\n\u001b[32m 150\u001b[39m logger.debug(f\"Ignoring fragment #{fragment} from URI {clean_uri}\")\n\u001b[32m 151\u001b[39m \n\u001b[32m--> \u001b[39m\u001b[32m152\u001b[39m process = load_document_by_yaml(\n\u001b[32m 153\u001b[39m yaml=updated_process,\n\u001b[32m 154\u001b[39m uri=clean_uri,\n\u001b[32m 155\u001b[39m load_all=\u001b[38;5;28;01mTrue\u001b[39;00m\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(yaml, uri, loadingOptions, id_, load_all)\u001b[39m\n\u001b[32m 344\u001b[39m result = cwl_v1_1.load_document_by_yaml(\n\u001b[32m 345\u001b[39m yaml, uri, cast(Optional[cwl_v1_1.LoadingOptions], loadingOptions)\n\u001b[32m 346\u001b[39m )\n\u001b[32m 347\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m version == \u001b[33m\"v1.2\"\u001b[39m:\n\u001b[32m--> \u001b[39m\u001b[32m348\u001b[39m result = cwl_v1_2.load_document_by_yaml(\n\u001b[32m 349\u001b[39m yaml, uri, cast(Optional[cwl_v1_2.LoadingOptions], loadingOptions)\n\u001b[32m 350\u001b[39m )\n\u001b[32m 351\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m version \u001b[38;5;28;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/cwl_v1_2.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(yaml, uri, loadingOptions)\u001b[39m\n\u001b[32m 30898\u001b[39m \n\u001b[32m 30899\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m loadingOptions \u001b[38;5;28;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 30900\u001b[39m loadingOptions = LoadingOptions(fileuri=uri)\n\u001b[32m 30901\u001b[39m \n\u001b[32m> \u001b[39m\u001b[32m30902\u001b[39m result, metadata = _document_load(\n\u001b[32m 30903\u001b[39m union_of_CommandLineToolLoader_or_ExpressionToolLoader_or_WorkflowLoader_or_OperationLoader_or_ProcessGeneratorLoader_or_array_of_union_of_CommandLineToolLoader_or_ExpressionToolLoader_or_WorkflowLoader_or_OperationLoader_or_ProcessGeneratorLoader,\n\u001b[32m 30904\u001b[39m yaml,\n\u001b[32m 30905\u001b[39m uri,\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/cwl_v1_2.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(loader, doc, baseuri, loadingOptions, addl_metadata_fields)\u001b[39m\n\u001b[32m 1016\u001b[39m doc.pop(\u001b[33m\"$base\"\u001b[39m)\n\u001b[32m 1017\u001b[39m \n\u001b[32m 1018\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"$graph\"\u001b[39m \u001b[38;5;28;01min\u001b[39;00m doc:\n\u001b[32m 1019\u001b[39m loadingOptions.idx[baseuri] = (\n\u001b[32m-> \u001b[39m\u001b[32m1020\u001b[39m loader.load(doc[\u001b[33m\"$graph\"\u001b[39m], baseuri, loadingOptions),\n\u001b[32m 1021\u001b[39m loadingOptions,\n\u001b[32m 1022\u001b[39m )\n\u001b[32m 1023\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/cwl_v1_2.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(self, doc, baseuri, loadingOptions, docRoot, lc)\u001b[39m\n\u001b[32m 789\u001b[39m SourceLine(doc, \u001b[33m\"class\"\u001b[39m, str),\n\u001b[32m 790\u001b[39m [],\n\u001b[32m 791\u001b[39m )\n\u001b[32m 792\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m793\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ValidationException(\u001b[33m\"\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m, errors, \u001b[33m\"*\"\u001b[39m)\n", + "\u001b[31mValidationException\u001b[39m: Value is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object." ] } ], @@ -78,202 +86,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-12/node_crop\n", - "\n", - "pattern-12/node_crop\n", - "\n", - "\n", - "\n", - "pattern-12/node_normalized_difference\n", - "\n", - "pattern-12/node_normalized_difference\n", - "\n", - "\n", - "\n", - "pattern-12/node_crop->pattern-12/node_normalized_difference\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/cropped\n", - "\n", - "pattern-12/cropped\n", - "\n", - "\n", - "\n", - "pattern-12/node_crop->pattern-12/cropped\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/node_otsu\n", - "\n", - "pattern-12/node_otsu\n", - "\n", - "\n", - "\n", - "pattern-12/node_normalized_difference->pattern-12/node_otsu\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/ndwi\n", - "\n", - "pattern-12/ndwi\n", - "\n", - "\n", - "\n", - "pattern-12/node_normalized_difference->pattern-12/ndwi\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/water_bodies\n", - "\n", - "pattern-12/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-12/node_otsu->pattern-12/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/aoi\n", - "\n", - "pattern-12/aoi\n", - "\n", - "\n", - "\n", - "pattern-12/aoi->pattern-12/node_crop\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/aoi->pattern-12/node_crop\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/cropped-collection\n", - "\n", - "pattern-12/cropped-collection\n", - "\n", - "\n", - "\n", - "pattern-12/cropped-collection->pattern-12/node_crop\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/item\n", - "\n", - "pattern-12/item\n", - "\n", - "\n", - "\n", - "pattern-12/item->pattern-12/node_crop\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/item->pattern-12/node_normalized_difference\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/item->pattern-12/node_otsu\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/ndwi-collection\n", - "\n", - "pattern-12/ndwi-collection\n", - "\n", - "\n", - "\n", - "pattern-12/ndwi-collection->pattern-12/node_normalized_difference\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/water-bodies-collection\n", - "\n", - "pattern-12/water-bodies-collection\n", - "\n", - "\n", - "\n", - "pattern-12/water-bodies-collection->pattern-12/node_otsu\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-12/bands\n", - "\n", - "pattern-12/bands\n", - "\n", - "\n", - "\n", - "pattern-12/bands->pattern-12/node_crop\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "wf.plot()" ] @@ -288,30 +104,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "1f48503f", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `aoi` | `https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox` | area of interest | area of interest as a bounding box |\n", - "| `bands` | `string[]` | bands used for the NDWI | bands used for the NDWI |\n", - "| `item` | `Directory` | Landsat-8/9 acquisition reference | Landsat-8/9 acquisition reference |\n", - "| `cropped-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | cropped reflectances STAC Collection | STAC Collection URL for the cropped reflectances |\n", - "| `ndwi-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDWI STAC Collection | STAC Collection URL for the NDWI |\n", - "| `water-bodies-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Water bodies STAC Collection | STAC Collection URL for the water bodies |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_inputs()" ] @@ -326,27 +122,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "754d5444", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Runs | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `node_crop` | `#crop` | None | None |\n", - "| `node_normalized_difference` | `#norm_diff` | None | None |\n", - "| `node_otsu` | `#otsu` | None | None |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_steps()" ] @@ -361,27 +140,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "9d819c9d", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `cropped` | `Directory[]` | Cropped reflectances | Cropped reflectances |\n", - "| `ndwi` | `Directory` | Normalized Difference Water Index | Normalized Difference Water Index calculated from the input bands |\n", - "| `water_bodies` | `Directory` | Water bodies detected | Water bodies detected based on the NDWI and otsu threshold |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_outputs()" ] @@ -396,86 +158,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "28b9c9ce", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:55:59.657\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:55:59.719\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:59.732\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:59.733\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:59.735\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.528\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.529\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.529\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.530\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.531\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.575\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.583\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.583\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:00.584\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.319\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.319\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.320\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.321\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.321\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.369\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.379\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.380\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:01.381\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.344\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.345\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.345\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.346\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.346\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.347\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.347\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.347\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.348\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.349\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.349\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.350\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-12 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.351\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-12/aoi: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.351\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-12/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.352\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-12/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.352\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.353\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.353\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.354\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.355\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-12/cropped-collection: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.355\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-12/ndwi-collection: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.356\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-12/water-bodies-collection: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.356\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-12 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.357\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-12/cropped: Directory[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.357\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.358\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.358\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.360\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m284\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/cropped\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.361\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/cropped' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.361\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-12/ndwi: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.362\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_1'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.362\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.362\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.366\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/ndwi' to 'stage_out_1' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.366\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-12/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.367\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.367\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.368\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.369\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_2' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:56:02.370\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0208 seconds\u001b[0m\n" - ] - } - ], + "outputs": [], "source": [ "w = WorkflowWrapper(workflow=wf.workflow, entrypoint=entrypoint)\n", "wrapped = w.wrap()\n", @@ -488,54 +174,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Warning: flat edge between adjacent nodes one of which has a record shape - replace records with HTML-like labels\n", - " Edge main/directory_stage_in_0 -> main/another_input\n", - "Error: lost main/another_input main/directory_stage_in_0 edge\n" - ] - }, - { - "ename": "CalledProcessError", - "evalue": "Command '[PosixPath('dot'), '-Kdot', '-Tsvg']' returned non-zero exit status 1. [stderr: 'Warning: flat edge between adjacent nodes one of which has a record shape - replace records with HTML-like labels\\n Edge main/directory_stage_in_0 -> main/another_input\\nError: lost main/another_input main/directory_stage_in_0 edge\\n']", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mCalledProcessError\u001b[39m Traceback (most recent call last)", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/backend/execute.py:88\u001b[39m, in \u001b[36mrun_check\u001b[39m\u001b[34m(cmd, input_lines, encoding, quiet, **kwargs)\u001b[39m\n\u001b[32m 87\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m---> \u001b[39m\u001b[32m88\u001b[39m \u001b[43mproc\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcheck_returncode\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 89\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m subprocess.CalledProcessError \u001b[38;5;28;01mas\u001b[39;00m e:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/home/linuxbrew/.linuxbrew/Cellar/python@3.13/3.13.1/lib/python3.13/subprocess.py:508\u001b[39m, in \u001b[36mCompletedProcess.check_returncode\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 507\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode:\n\u001b[32m--> \u001b[39m\u001b[32m508\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m CalledProcessError(\u001b[38;5;28mself\u001b[39m.returncode, \u001b[38;5;28mself\u001b[39m.args, \u001b[38;5;28mself\u001b[39m.stdout,\n\u001b[32m 509\u001b[39m \u001b[38;5;28mself\u001b[39m.stderr)\n", - "\u001b[31mCalledProcessError\u001b[39m: Command '[PosixPath('dot'), '-Kdot', '-Tsvg']' returned non-zero exit status 1.", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[31mCalledProcessError\u001b[39m Traceback (most recent call last)", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/IPython/core/formatters.py:1036\u001b[39m, in \u001b[36mMimeBundleFormatter.__call__\u001b[39m\u001b[34m(self, obj, include, exclude)\u001b[39m\n\u001b[32m 1033\u001b[39m method = get_real_method(obj, \u001b[38;5;28mself\u001b[39m.print_method)\n\u001b[32m 1035\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1036\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43minclude\u001b[49m\u001b[43m=\u001b[49m\u001b[43minclude\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexclude\u001b[49m\u001b[43m=\u001b[49m\u001b[43mexclude\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1037\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 1038\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/jupyter_integration.py:98\u001b[39m, in \u001b[36mJupyterIntegration._repr_mimebundle_\u001b[39m\u001b[34m(self, include, exclude, **_)\u001b[39m\n\u001b[32m 96\u001b[39m include = \u001b[38;5;28mset\u001b[39m(include) \u001b[38;5;28;01mif\u001b[39;00m include \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m {\u001b[38;5;28mself\u001b[39m._jupyter_mimetype}\n\u001b[32m 97\u001b[39m include -= \u001b[38;5;28mset\u001b[39m(exclude \u001b[38;5;129;01mor\u001b[39;00m [])\n\u001b[32m---> \u001b[39m\u001b[32m98\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m {mimetype: \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 99\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m mimetype, method_name \u001b[38;5;129;01min\u001b[39;00m MIME_TYPES.items()\n\u001b[32m 100\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m mimetype \u001b[38;5;129;01min\u001b[39;00m include}\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/jupyter_integration.py:112\u001b[39m, in \u001b[36mJupyterIntegration._repr_image_svg_xml\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 110\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_repr_image_svg_xml\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> \u001b[38;5;28mstr\u001b[39m:\n\u001b[32m 111\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Return the rendered graph as SVG string.\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m112\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpipe\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m=\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43msvg\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m=\u001b[49m\u001b[43mSVG_ENCODING\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/piping.py:104\u001b[39m, in \u001b[36mPipe.pipe\u001b[39m\u001b[34m(self, format, renderer, formatter, neato_no_op, quiet, engine, encoding)\u001b[39m\n\u001b[32m 55\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mpipe\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[32m 56\u001b[39m \u001b[38;5;28mformat\u001b[39m: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 57\u001b[39m renderer: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m (...)\u001b[39m\u001b[32m 61\u001b[39m engine: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 62\u001b[39m encoding: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m) -> typing.Union[\u001b[38;5;28mbytes\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m 63\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Return the source piped through the Graphviz layout command.\u001b[39;00m\n\u001b[32m 64\u001b[39m \n\u001b[32m 65\u001b[39m \u001b[33;03m Args:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 102\u001b[39m \u001b[33;03m ' \u001b[39m\u001b[32m104\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_pipe_legacy\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 105\u001b[39m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 106\u001b[39m \u001b[43m \u001b[49m\u001b[43mformatter\u001b[49m\u001b[43m=\u001b[49m\u001b[43mformatter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 107\u001b[39m \u001b[43m \u001b[49m\u001b[43mneato_no_op\u001b[49m\u001b[43m=\u001b[49m\u001b[43mneato_no_op\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 108\u001b[39m \u001b[43m \u001b[49m\u001b[43mquiet\u001b[49m\u001b[43m=\u001b[49m\u001b[43mquiet\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 109\u001b[39m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[43m=\u001b[49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 110\u001b[39m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m=\u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/_tools.py:185\u001b[39m, in \u001b[36mdeprecate_positional_args..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 177\u001b[39m wanted = \u001b[33m'\u001b[39m\u001b[33m, \u001b[39m\u001b[33m'\u001b[39m.join(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvalue\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[33m'\u001b[39m\n\u001b[32m 178\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m name, value \u001b[38;5;129;01min\u001b[39;00m deprecated.items())\n\u001b[32m 179\u001b[39m warnings.warn(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mThe signature of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m will be reduced\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 180\u001b[39m \u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33m to \u001b[39m\u001b[38;5;132;01m{\u001b[39;00msupported_number\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m positional arg\u001b[39m\u001b[38;5;132;01m{\u001b[39;00ms_\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mqualification\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m\n\u001b[32m 181\u001b[39m \u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlist\u001b[39m(supported)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m: pass \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mwanted\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m as keyword arg\u001b[39m\u001b[38;5;132;01m{\u001b[39;00ms_\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m,\n\u001b[32m 182\u001b[39m stacklevel=stacklevel,\n\u001b[32m 183\u001b[39m category=category)\n\u001b[32m--> \u001b[39m\u001b[32m185\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/piping.py:121\u001b[39m, in \u001b[36mPipe._pipe_legacy\u001b[39m\u001b[34m(self, format, renderer, formatter, neato_no_op, quiet, engine, encoding)\u001b[39m\n\u001b[32m 112\u001b[39m \u001b[38;5;129m@_tools\u001b[39m.deprecate_positional_args(supported_number=\u001b[32m1\u001b[39m, ignore_arg=\u001b[33m'\u001b[39m\u001b[33mself\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 113\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_pipe_legacy\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[32m 114\u001b[39m \u001b[38;5;28mformat\u001b[39m: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m (...)\u001b[39m\u001b[32m 119\u001b[39m engine: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 120\u001b[39m encoding: typing.Optional[\u001b[38;5;28mstr\u001b[39m] = \u001b[38;5;28;01mNone\u001b[39;00m) -> typing.Union[\u001b[38;5;28mbytes\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m--> \u001b[39m\u001b[32m121\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_pipe_future\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 122\u001b[39m \u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 123\u001b[39m \u001b[43m \u001b[49m\u001b[43mformatter\u001b[49m\u001b[43m=\u001b[49m\u001b[43mformatter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 124\u001b[39m \u001b[43m \u001b[49m\u001b[43mneato_no_op\u001b[49m\u001b[43m=\u001b[49m\u001b[43mneato_no_op\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 125\u001b[39m \u001b[43m \u001b[49m\u001b[43mquiet\u001b[49m\u001b[43m=\u001b[49m\u001b[43mquiet\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 126\u001b[39m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[43m=\u001b[49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 127\u001b[39m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m=\u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/piping.py:149\u001b[39m, in \u001b[36mPipe._pipe_future\u001b[39m\u001b[34m(self, format, renderer, formatter, neato_no_op, quiet, engine, encoding)\u001b[39m\n\u001b[32m 146\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m encoding \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 147\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m codecs.lookup(encoding) \u001b[38;5;129;01mis\u001b[39;00m codecs.lookup(\u001b[38;5;28mself\u001b[39m.encoding):\n\u001b[32m 148\u001b[39m \u001b[38;5;66;03m# common case: both stdin and stdout need the same encoding\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m149\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_pipe_lines_string\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m=\u001b[49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 150\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 151\u001b[39m raw = \u001b[38;5;28mself\u001b[39m._pipe_lines(*args, input_encoding=\u001b[38;5;28mself\u001b[39m.encoding, **kwargs)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/backend/piping.py:212\u001b[39m, in \u001b[36mpipe_lines_string\u001b[39m\u001b[34m(engine, format, input_lines, encoding, renderer, formatter, neato_no_op, quiet)\u001b[39m\n\u001b[32m 206\u001b[39m cmd = dot_command.command(engine, \u001b[38;5;28mformat\u001b[39m,\n\u001b[32m 207\u001b[39m renderer=renderer,\n\u001b[32m 208\u001b[39m formatter=formatter,\n\u001b[32m 209\u001b[39m neato_no_op=neato_no_op)\n\u001b[32m 210\u001b[39m kwargs = {\u001b[33m'\u001b[39m\u001b[33minput_lines\u001b[39m\u001b[33m'\u001b[39m: input_lines, \u001b[33m'\u001b[39m\u001b[33mencoding\u001b[39m\u001b[33m'\u001b[39m: encoding}\n\u001b[32m--> \u001b[39m\u001b[32m212\u001b[39m proc = \u001b[43mexecute\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun_check\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcmd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcapture_output\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquiet\u001b[49m\u001b[43m=\u001b[49m\u001b[43mquiet\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 213\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m proc.stdout\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/.local/share/hatch/env/virtual/patterns/VcrZkRRN/patterns/lib/python3.13/site-packages/graphviz/backend/execute.py:90\u001b[39m, in \u001b[36mrun_check\u001b[39m\u001b[34m(cmd, input_lines, encoding, quiet, **kwargs)\u001b[39m\n\u001b[32m 88\u001b[39m proc.check_returncode()\n\u001b[32m 89\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m subprocess.CalledProcessError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m---> \u001b[39m\u001b[32m90\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m CalledProcessError(*e.args)\n\u001b[32m 92\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m proc\n", - "\u001b[31mCalledProcessError\u001b[39m: Command '[PosixPath('dot'), '-Kdot', '-Tsvg']' returned non-zero exit status 1. [stderr: 'Warning: flat edge between adjacent nodes one of which has a record shape - replace records with HTML-like labels\\n Edge main/directory_stage_in_0 -> main/another_input\\nError: lost main/another_input main/directory_stage_in_0 edge\\n']" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", @@ -552,21 +194,10 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "b91e6fd2", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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3fPfhnG0b+F4CnQLlfZCwvTUYPsFDaJg8+9/Z3fG7C/70n4U47z8xleUrODqLFlRt4gmLp5Gv3l35iTI4GcpchRcEiYm+C4C7jzSo47h/Od7fdX/HM7YvIwkGuAUS9nn5m5mJDUVnREZVhrk6gJK+FEW8AKk8UBcUCwo1jy3I4E+rfPH1BrJKMdPH1qwwQx3yq+vOjN+w1IDU+lThrh8+REaFSbPIguGXCq0j6Ji9HRoDPyY8HBGPuIdBskpnGImYajX1a1Lh7s0tr2F1bFH+O/tTQRXBxmJVdGvYunWqPtUhQZU2k32RgYEiccIwp1Rm9T5atapGFambJsJqrR3f5Em5KONxnvQxeaN56g/6npazV3YCOWeTgjnPcao54UUKMEKjz3YKi+Kg0js89oNUKRWFJQaIAWKAGFgFA7QBsIo2EUhioCoDv4/X7KfS2KMjf/Y/3h/Y4xP/zPTupn8K6tVf3f3jIzPt7RQkfgusHI/X/Gn3nT2Jqnt/fFPOR0KjYwnPK/a5tfRQQY13hU6D6lEZJh5Rg1EhFMxv9oE5A82wXuwf2Bcewl5fghXuyGnScHQWJejadJqf19fX795d+4kyGBnKXIcXBLH/gaXCrXCqsU7Am7Z/v3z7YMyzuGY+IwwPnJZQJWbvRiZFq6hEldHTIyDo5aBKAcAGDtUFN2oLNKNLfp7P9aIcFRsWIZ/Qjf35euTfaelfqkd6fapw15dinwCqkPGVn/neh1YrXBepbHQOxA+Gp2ytd+VhkAyVCFtl0eNW8AG3QocW9qC6N/bwL3BKAKxYaA1XQbzhWuvrk6nZSUK0X5mJgQzaH9IHdpiJWTSlTPi7qslftSxKg1JVi7Bai+KrmMq0fwfjMZ6gfOAJ5foSJxC+OyCY68+Wdos1JwqMNFBnO8BiklFehsd+kMpnoYjEADFADBAD62GANgDW0ytCSgzUYuDy5v3rq2Ofk/I/gT3e37D7X/6AfH/d31L36s/u4Ym92GdgQqHQ8Ccl5SjvcD+6X/2AhZ+j+EhodCzhefXIgokHKhXUeFfoNCh0o28YDkRxA87BqBAK5pf44J8/mfy9Hs72vNiA16dghRmKMBqOzqIEXZtO83F9ff3eu2s/UQYjQ5nr8IIg9j+wVLgVSDXWCY7/zn/O/h7un/hXKW7uzXxGGB44LaFKzN6NTIpWUYkqo6dHQNDLQZUCgA0cqgtu1BZoRpdsF9eLclRsWIR8wmzsDXtI7V+qR3p9qnDXV2f8w12oQsZXfuZ7Hxo2ADgSvsz6l86B+MHwlK31rjwMklElR72Ue9wKPuDu0Zn1s5bY1bHvGHyLPwOQAFix0BqugnjDtdbX96FOEqL9ykwMVFVAET+xoCllwt+nq5bVaFCqapFUa1F8FVOZar7UOWyMJ6N8zRPKJddcvwGgF6DdYs2JAiMN1NkOgJtklJfhsR+k8lkoIjFADBADxMB6GKANgPX0ipASA5UY4H9xzD4ANDYA/vjXAY7sd/7kU1B/I/vLTcRLKHpZ2Ohb3etrpn49Y86PTLhUEUxbEVPHEp7qlliZme8anQaFbvRNU1tWYHQIBVOG2rMNAPb6uxBPJ7bzcIwxazgqy1EJ2g6lYd8BFvRpP1EGI0OZq3dZHpsAS4VbYVJjSPDbse2a94vrR2Yim6bjQhg+kZZQJWbvkEnTKjJq+PIpR3ooShQGAGzgEKaqCyqM8hCxTWNlwIsR5WhLxYpMbTT2hi9K+VKA9PpU4diX5M/YN7nVULOoHPE7R6tWuO67MlE5MD/206GyNt+1B5AsphU5x6NhIVaTwqveTXPwYrmt6tiP2D3wv/fpX4xMaA3XQTzFKsz39WneRYuUmRiosEDR2AaAURMsYhbCwC9HGpQSRFI1QC0zYsqTVm8FxpDAyNPzZJSveUK5/sSx3P8GABChSZAEqKEGgzcAEBbpUeX/8NgPUpVEFJQYIAaIAWJgJQzQBsBKGkUwiYF6DPx1L8e/a3MD4Hh78XP8j31CeH/1+wef79/u2Xddv9j3qcWdrQLEn8TUre6Rh/nZs9v9h/0v+92tuz6CaStjqljCc2wDANApUOgZQ0V2vSswOoSGebj8Pb4wdD+smN89/xPekJfA/KHKV3BUFqhd1XZUaWTw3l35qUfbozJX4QVBnFVtqXH3KPUYElx2T+wZrmPoND0qng7DY4q4fR+VwXRCkx2dSdMqm6zKMFeH5kZh0IBNHKgLCpTysEFLuj76hSXC9ItVs8LQqpAv3+wTdLa+1UsDUutThWPOn+ePjHO1xuUyVX7GuwqtI+iYvZEaW/yY8IxwpggemmRdibQDi54nTVePu0enQCpIdnXsEZf/Gbt6cRp1a4RS86Bh63lVn+qQWFPazOQNKBrbAICafFWrajSovmqR1NkyiIkI+tDG4zxpM+AJ57rbf/zc81/3MBcgnAYlr4oTACM0+myny1FtqPMOj/0g1clEUYkBYoAYIAbWwQBtAKyjT4SSGKjJwEu3O3vmfwKt7liPv1fdOf9A9PvqjP3JtVL/3THtOXtuEAqFiN8CKwv2d8WX59012zT4vejODuxL9jKCaSs1Kpbw1LfEys581+gUKP2Ea1q5ZA1GhdAwfy6782uG7uu823UHBjfo9Xfozjv2dXJZvoKjs2hB1XZUaWT03l35iTI4ecpchRcE8QltqXH3MPUYEjzwL3Rfsa9ewAaAiqfD8JhpCfu84g0yKVplk1UZ5urQlCgMGrCJA3XBRm2DPvYGchnxWRVbs8JgqpBXXdepnxXk6AFQvz5VOO78df6gm2EtXFG5/J8KrVY4xOyNdA7MjwnPCIdE7QEkq3S9nbboaVB0KfZ7c8trUB3b6YCfAJSrQrdGZFLx4NDW86o+xbtYU7o684AHisY2ANhWXH/+8VWtqtGg+qpFUnfLdExNkDx4VYhxniCm5gnn+rs9O384sKrMBQhcyWZpTjQYodFnO4UFLYHyA3jsB6l8FopIDBADxAAxsB4GaANgPb0ipMRANQb+vgbPwD9DFUv/9/UzDoLd4X73f1L/PWE6GUtlAnRuUMrO9d6DgRDKSKH8+fpVqoD3X1S/hKNL1oLBk0ojY/fugzIUFTg88xlYDjDiBNa0ijcIk5HQTGHRqqKaJno5KAwIsPJAXfChVsZHZaDzqNhawYQ+5MBWA9Lr0zLRacxoSFZodQQdU5jBOrD4QUHcA5eHSic9wKLHreAr3L059tLZlJX8eQatFgJqjeNY7+ehPhfvVsiJk4C0hprAG+NXIw1fVS0ctBbcGXx1TlOm/bsyHudJly9+8QDF1SWxf6uhf00RAWCUh3xXWLC28Age+0EqnILCEQPEADFADKyKAdoAWFW7CCwx0DoD7OHg1F66ZC2cGgNUL2JgDevg+1X9oiWCHjRYQ31BhQQY+Xj6fP36vD1XWwwBgRY0gcd+kBaEQ6mJAWKAGCAGFmeANgAWbwEBIAbWycDPQb7052GijMPTOqvJQK1L1kJGMHKtwoB7sZZNpXPUWAc6eBRmv9fl/pVF8s+PpZmsLy2sI2V8oHgPntbvJXkaQvu63u8Pnn89xB9tGGcODTz2gzRHXspBDBADxAAx0CoDtAHQamcIFzHQOAN/b/K1jk/BGieT4NVlYI7FWjVHWvApr6n5xKYUCxsfKN6D15jm5WOnbDRflnA9PPaDFO5NlsQAMUAMEAPbY4A2ALbXU6qIGCAGiAFigBggBogBxgA89oNExBADxAAxQAycMgO0AXDK3afaiQFigBggBogBYmDDDMBjP0gbLpdKIwaIAWKAGJhkgDYAJikiA2KAGCAGiAFigBggBtbIADz2g7TGOggzMUAMEAPEQCkGaAOgFJMUhxggBogBYoAYIAaIgaYYgMd+kJoCSGCIAWKAGCAGZmaANgBmJpzSEQPEADFADBADxAAxMA8D8NgP0jyZKQsxQAwQA8RAmwzQBkCbfSFUxAAxQAwQA8QAMUAMZDIAj/0gZYYkd2KAGCAGiIFVM0AbAKtuH4EnBogBYoAYIAaIAWLAxwA89oPksyU9MUAMEAPEwCkwQBsAp9BlqpEYIAaIAWKAGCAGTpABeOwH6QRpoJKJAWKAGCAGNAO0AaCpIIEYIAaIAWKAGCAGiIEtMQCP/SBtqT6qhRggBogBYiCWAdoAiGWM7IkBYoAYIAaIAWKAGFgFA/DYD9IqgBNIYoAYIAaIgUoM0AZAJWIpLDGwRQb+PszXX3qJkYEizZ24SsRwBg5QLpn7uGjyEXIWw1Urca24IxzC1BLJl8gJFTukxQEtDsBByhEe+0Fy2ZGOGCAGiAFi4FQYoA2AU+k01UkMFGDgY2e+PtIjRgaKNHfiKhHDGThAuWTu46LJR8hZDFetxLXijnAIU0skXyInVOyQFge0OAAHKbQB4CKFdMQAMUAMnDQDtAFw0u2n4omBOAY+di/v6vWyy9oAiApUIm+JGHFsgfWSudkGQBTXgLqytBiuWolrxQ3qwxLJl8g5SsbigBYH4KIHPvcHyWVHOmKAGCAGiIFTYYA2AE6l01QnMVCAgY/d+596vedtAEQFKpG3RIxUCpfMzTYAorhOrTHabzFctRLXihvE7BLJl8g5SsbigBYH4KIHHvtBctmRjhggBogBYuBUGKANgFPpNNVJDBRgoNj9bWSgSHNnpSViOAMHKJfMTRsAdoNqdaNWXBu/c7xE8iVyOotXysUBLQ5AMWG+w2M/SOY8ycQAMUAMEAOnxgBtAJxax6leYiCDgWL3t5GBIs2dFZaI4QwcoFwyN20A2A2q1Y1acW38zvESyZfI6SxeKRcHtDgAxYT5Do/9IJnzJBMDxAAxQAycGgO0AXBqHad6iYEMBord30YGijR3VlgihjNwgHLJ3LQBYDeoVjdqxbXxO8dLJF8ip7N4pVwc0OIAFBPmOzz2g2TOk0wMEAPEADFwagzQBgDr+O5Ztv1Z/sA5jY7EBK2JI6yCz2vjp//NPyc31PFiZKBIcyeeEjGcgQOUS+ZGvwEQgHU2k8VIqZW4VtygjiyRHHLeB2GsbgSA3qvnciZwA7j+5DcZ/b2FvN+Y7//w2A/SfNkpEzFADBADxEB7DNAGAOsJXRTbW5iEqCEGrt80mGIfcEUGijTXeM1jOzWGDjYmmIkcdlVzO/Ih1TzJJxhAiORgHlx2YobTlZjDjy+hD947uuLa6RPGQ1hDjbsoRzKXq8NsQlWpYAOcIU5gMacjO5CWxEzIZBTEB+DtmnshUytMxSGkBaliOgpNDBADxAAx0DwDtAHAWkQXxebXKQFckgHjAPHd30bDiwwUaa7hGNCdj33aMFcwEzlipeJ3hIpXzZN8ggEH7Hlw2YkZTldiDj++hD547+iKa6dPGA9hDTXuohzJXK4OswlVsYLxZ+IGOEOcwGJOR3YgLYmZkMkoiBeAsEKmVpiKQ0gLUsV0FJoYIAaIAWKgeQZoA4C1iC6Kza9TArgkA8YB4r2/jcUXGSjSXKMxoDsf+7RhrmAmcsRKxe8IFa+aJ/kEAw7Y8+CyEzOcrsQcfnwJffDe0RXXTp8wHsIaatxFOZK5XB1mE6piBWM4xsgQJ7CY05EdSEtiJmQyCuIFIKyQqRWm4hDSglQxHYUmBogBYoAYaJ4B2gBgLaKLYvPrlAAuyYBxgHjvb2PxRQaKNNdoDOjOxz5tmCuYiRyxUvE7QsWr5kk+wYAD9jy47MQMpysxhx9fQh+8d3TFtdMnjIewhhp3UY5kLleH2YSqWMEYjjEyxAks5nRkB9KSmAmZjIJ4AQgrZGqFqTiEtCBVTEehiQFigBggBppngDYAWIvootj8OiWASzJgHCAfu5d39XrZfaSjigwUaa5xGdDZY18h7Dq6IZiJDLUSq+ZWSXzvffJ73rispvkSCP0EAw7fZUhhOF2JOfz4EvqqekcZV/BckughrKHGXZSDdJerw2xCZRQsy01dWRiOMTLECSzmtKuz5rwlpyUZC4KXQP8rgdxBpCqSz0ofMIS0IAW4kQkxQAwQA8TAZhmgDQDWWvxniJvtNRVGDKQxYNw1fqAfvs7aADAjTQZKzWtAZ4995msyZRxXZiKHZ9XcjnxINU/yCQYQIjmYB5edmOF0Jebw40vog/eOOO69nJz4J1VseI7xENZQ4y4qKJjDaFLlLDjlkMKVGCNDnEQDBrgDk4DSkkA6IaEgLgDCAP5nuc8wBIQgzZCWUhADxAAxQAw0ywBtADTbGgJGDDTCgHHX+Pdhvv7SAfaBdjLcZKBIc43L3Nwrhl1HNwQzkaFWYtXcKonvPZU8Xzy3foIBh9MypDCcrsQcfnwJfVW9o4zbr+mPyUXNnY1jq481fBvCGmrcRQ1jpdeIYhkFq3I/wgpGYez6jboM0XIZG7o6O2KflsQKiIIwAGKb0TyviR6L/yFTK0zFISwykCqmo9DEADFADBADzTNAGwDNt4gAEgMLM1DxrjEydKT5wrw1lp7Im6chUTxHGc+DPzJLXgV53pFQ5zHfHdkWgJlKDJDGnJ1BhtwgzZCWUhADxAAxQAw0ywBtADTbGgJGDDTCQMW7xsjQkeaN8NcIDCJvnkZE8RxlPA/+yCx5FSz0mXhkjVHm4hsApodgKI8mM1y8DLlBio9CHsQAMUAMEAPbYYA2ALbTS6qEGKjDQMW7xsjQkeZ16FhrVCJvns5F8RxlPA/+yCzrryCy4Glz/AWARX//T4CFFoE0XQVZEAPEADFADGyXAdoA2G5vqTJioAwDFe8aI0NHmpcpfytRiLx5OhnF8/o/AY8qd54OLJuFvgGwLP+UnRggBogBYmCaAdoAmOaILIiB02ag4i1+ZOhI89Num139+p817YraHJ8YzydW7vSaY78B8IxOVGKANNNBilpAbpCKJqBgxAAxQAwQAytjgDYAWMPoDmZlq5bgzstAxbvGyGMv0nxemigbMUAMEAP0DQBaA8QAMUAMEAOtM0AbAKxDFZ9vWu8/4SMGphlY8QEy247BbImm27WQxVoY8ODkas/UNKHJjtOhnbAy8mW4GmDLRDECStEIa4gDs2KKIkmGQawTphiK/w1Ni5UyFgjwgDRmT3PEADFADBADW2eANgBYh+miuPVlTvVlMbDiA2Q26LMlyupkTeflGXi8fQ0o0IOTqz1T00GTHadDO2Fl5MtwNcCWiWIElKIR1hAHZsUURZIMg4jvABj/43iF1dC0WCljgSAtSGP2NEcMEAPEADGwdQZoA4B1mC6KW1/mVF8WAys+QGaDPluirE7WdF6egYvuNqBAD06u9kxNB012nA7thJWRL8PVAFsmCguIPxM3whqikbewWCRJWBBhFWZauEhzXS8EoHhFFJAYIAaIAWIgjwHaAGD80UUxbxGR98YZWPEBMhv02RI1u9aWZ+Dtv48Adjw4udozNR002XE6tBNWRr4MVwNsmSiD2oywhmjkLSwWSRIWRFiFmRYu0lzXCwEoXhEFJAaIAWKAGMhjgDYAGH90UcxbROS9cQZWfIDMBn22RM2utfkYeDi8/Hd19XZ8urzhT/yvh6uLq8ff45Hpxf/eri+f/DR5cHK1Z8ofS80kO1qfgKt4+H0YfajBHiOjDFcjapkoLCAOZIwM0chbWCySJCyIsAozLVykSfJCAIpXRAGJAWKAGCAG8higDQDGH10U8xYReW+cgRUfILNBny1R+lrD37ZOj+PxnI+BfXfesdc1++/s53i8Pru46LrL41H8CcBFt+OT/mI9OLnaM+Up2FAjR39qw0OJyFMprfehzVBjufiHGa5GUCNKVLlGCCkagZjCGBniwKmYokgSRxAHJ8LKYVqslpFAkBakEXOaIgaIAWKAGNg8A7QBwFrsuFpvvvFUIDEQzEDFu8bIYy/SHD1RBJebZFiRoyQ8DqfKECuHNwrad2efX113/vXRda/H4yebeuu6T7UB0L3/XnRXhj0WPTi52jOF/V0j5IgGLmtTF2I8tBlqzJijcoarEdeIYoiGQaiIvY2RIYbGircrksQRxKdy6ONBx3tAWpDio5AHMUAMEAPEwHYYoA2A7fSSKiEG6jBQ8a4xMnSk+Yybe9FbE3VaNRY1mryxYMO5+RjYdzfH4zn/xb+uY9/1/zzsd+wrAf/UBsD18XjX7YcAe40HJ1d7pryh9ARyjOI5xBhFFzmHGg1lSshwNUIbUUIqMDwtEXsbYQ3Rcik4LJLEEQRXJQALlcO0YDXeUAAHJK8xTRADxAAxQAycAAO0AXACTaYSiYEsBireNUaGjjTPqnpzzpshb8+f/c+7B7kB8HPWXdzfdd1/agOATd51CxYblTrKuMklmVdBnneThDBQjqocqtnQQ26QZktOiYgBYoAYIAYaZIA2ABpsCkEiBppioOJdY2ToSPOmWFwczGbIwxsA/7ruh/8JAG0ALLPC8pbVQp+JV6bKwYlDVRkEhIfcIMEsScQAMUAMEAOnxwBtAJxez6liYiCOgYp3jZGhI83jyty69WbIwxsA7IcADk/sh/9oA2CZBbyZZVWQPgcnDlXBhOOhIDdI4x40SwwQA8QAMbBtBmgDYNv9peqIgXwGKt41RoaONM8vfUsRNkMe3gA4PrB/DOBlrRsA6/8EfDPLquCx7uDEoSqYcDwU5AZp3INmiQFigBggBrbNAG0AzNPfXX+f97wTLxodiYn1rAl511inY3HHH92/xvGFrNf/rInKgcHv1x8Mlpc2y7Ob2hMr102CpXVwsuSpC3KDZCGmITFADBADxMBJMUAbAKzdjqt16UVA193SjFK8+RhoZ/XOcKjORytlIgaIgVNhYMmTKOQG6VR4pzqJAWKAGCAGXAzQBgBjZYaL4gwpXO0lHTFQgIEVr97ZdgxmS1Sgn3VCrIUBD06u9kxN85XsOB3aCSsjX4arAbZMFCOgFI2whjgwK6YokiQsiDiJhpkWK08FghM4SGqO3okBYoAYIAZOkQHaAGBdn+GiOEOKU1y+VPMsDKx49c4GfbZEs3Q8JclaGPDg5GrP1DQbyY7ToZ2wMvJluBpgy0QxAkrRCGuIA7NiiiJJwoIIqzDTYuWpQJAWJDVH78QAMUAMEAOnyABtALCuz3BRnCHFKS5fqnkWBla8emeDPluiWTqekmQtDHhwcrVnapqNZMfp0E5YGfkyXA2wZaKwgPgzcSOsIRp5C4tFkoQFEVZhpoWLNNf1QgCKV0QBiQFigBggBvIYoA0Axt8MF8UZUuQtBPImBrwMrHj1zgZ9tkTeLi09sRYGPDi52jM1zWyy43RoJ6yMfBmuBtgyUQa1GWEN0chbWCySJCyIsAozLVykua4XAlC8IgpIDBADxAAxkMcAbQAw/ma4KOLPOfJ6Rt7EwLwMzHCA1CpoNuizJarFVHbctTDgwcnVnqlpapIdrU/A3ZmG0Ycat6dDm+FqRCsThQXEgYyRIRp5C4tFkoQFEVZhpoWLNEleCEDxiiggMUAMEAPEQB4DtAHA+KOLYt4iIu+NM7DiA2Q26LMlSl9rlXchV8CA4M6Dk6s9U9OUI8conpGnJ9HQZqjxuA7VGa5GMCNKVLlGCCkagZjCGBniwKmYokgSRxAHJ8LKYVqslpFAkBakEXOaOkEGmvqXVE+QfyqZGJiTAXm80wYA49xxtZ6zE9G56vyD7Dv+6qmgDMQEOy7EkmBMiLtGPRLrddlR+CEz2w3vbInCa7ctK0OsHN6uJnnswcnVnqnpVMgRDaZ8Q4yHNkPNVB49n+GqYyCm8gJib2NkiEbewmKRJI4gPpVDX7giZzhIC5LT8Hj82MuzPv3/1BiY2gGglXFqK4Lq3TID4ninDQDPdZDUxAAx0DMwedfYLlOzbe7Nliid68ptXAEDgjsPTq72TE1TjhyjeA4xRtHHapgGmlEjCm5ACqkA+aIB9jbCGiJyKDooksQRBFclIAuVw7RoPZ5gAAckt+nHxYd7grSbZuDjglbGphtMxREDBgPqeKcNAIMUEokBYsDBwNS9gcOFVO0xQG2cpydRPEcZz4M/MkteBXnekVBnM3dU5VAtAGcCBT3/z9aTphKxvtPKaKojBIYYqMeAPt5pA6AeyVUiL/QRQpVaKOhKGJi4N1hJFScPk9o4zxKI4jnKeB78kVnyKtjmBc3BiUMVSXS6OeQGyRWNnv9drGxfx/tOK2P7faYKiQHOABzvtAGwshUxfppeWTEEdx0M0KJbR58mUFIbJwgqNB3Fc5RxIYBlw6y/grJ88GgOThyq8nk9ESE3SA5Tev53kHICKtF3Whkn0GkqkRiQz//9JYo2AOZZEMU+5xg9Tc9TC2U5NQZo0W2i49TGedoYxXOxK8M8tTmyRJXr8N+iysGJQzVb5ZAbpGFyev4fcnIKGtl3Whmn0GuqkRgwj3faAJhnPYydXaMQFAsUlZWMT5oBWnSbaP/6nzXX0YYT4/nEyg1agw5OljyJQm6QBnXQ8/+AkpNQ9H2nlXES3aYiT50BdLzTBgBbDo6rdelFMnJ2jUtVLFBcWrI+ZQZo0Z1y96l2YoAYyGZgyZMo5AbJLoie/21GTmOs+k4r4zT6TVWeNgP4eKcNALYa/Ke+YkulWIoSgeQ/btlveyz7D7pT9h314Vh/FRQ7kL2BZthF9OZuY2ItDHhwcrVnaprfZMfp0E5YGfkyXA2wZaIYAaVohDXEgVkxRZEkYUHElTvMtFh5KhDcNYCk5vp3dV9oqWm4cQZ032llbLzTVB4x0P/9PydCHu+0AaCpqLo6vGfX2KwlAi10FxJbKtm3wkCJRddKLbVwEEdrYcCDk6s9U9NrJtlxOrQTVka+DFcDbJkoRkApGmENcWBWTFEkSVgQYRVmWqw8FQjSgqTm5Lt+DsRqGm2cAeg7rYyNt5rKIwbE7/9LGuTxThsAjA3fqa/geimWgh7eC3aFQoUxUGz1hqVbpRVxtBYGPDi52jM1vSCTHadDO2Fl5MtwNcCWicIC4guaEdYQjbyFxSJJwoIIqzDTwkWa69oHQH4rkP5/cgx8qMVGK+Pkek8Fnx4D1vFOGwDs/Oc79alTY4H3GVIUQEkhiAEXA7R6XaxgHXG0FgY8OLnaM4U77RolO7qCDXTD6EPNwMmnyHA1QpaJwgLiQMbIEI28hcUiScKCCKsw08JFmiT7APj0xaFQwKYYgL6DhAH69NiKRsQAMdA+A3A0S4k2AFjPgJRqDcSfc1RLQ4GJgQoMzHCAVEA9b0jiaC0MeHBytWdqeiUlO1qfgLszDaMPNW5PhzbD1YhWJgoLiAMZI0M08hYWiyQJCyKswkwLF2mS7APg0xeHQgGbYgD6DhIG6NNjKxoRA8RA+wzA0Swl2gBgPQNS2m8gISQGZmeADpBpylfAUeVdyBUwINrowcnVnqnI7kfxHJJyaDPUTGPsLTJcjRxGlKhyjRBSNAIxhTEyxIFTMUWRJI4gDk6ElcO0WC0jgSAtSNjcp8dWNNoaA9B3kHCNPj22ohExQAy0zwAczVKiDQDWM8fVuv1OEkJiYC4G4KwxV8b15VkBR5UhVg5fbEl4cHK1Z2o6NXJEgynfEOOhzVAzlUfPZ7jqGIipvIDY2xgZopG3sFgkiSOIT+XQF67IGQ7SgoQNfXpsRaOtMQB9BwnX6NNjKxoRA8RA+wzA0Swl2gBov2eEkBhYlgE4ayyLo+XsK9hFrNzGFTAgFpAHJ1d7pqbXHXKM4jnEGEUfq2EaaEaNKLgBKaQC5IsG2NsIa4jIoeigSBJHEFyVgCxUDtOi9XiCARyQsKlPj62+/v2nf0QKz8SMXm8fjsfvzy/p83j76nT+VK8fxzQ4fX86poNUEMNljmZhAJLLKV7njydY8k+HpArgBvoOEg7t02MrGs3HwM8nX/Pm/63csGo+H25vv2Fo2fXDgGXidrS0DNEvV32//fcuheRj04pMw1IMwNEsJdoAKMXsiuIsdBcSzVD9fx6eMuz6xUBM5DIRvbxnd4CT/+ypTyphFM9Rxk3SmFdBnneThDBQjqocqtnQQ26QcHKf3rT6uOjY6/zd1KXId93+eLzuzqXvRXfrDHLGk/HXk2ManA5njukJ1dPFDbOAGC5zNAsDkFxOWicz6KFf8McTLPmnWcjJJAHcQN9Bwmh9emxFo/kYeOk6til203Xfx+Ohuxgm1qvmix8/n3o4tBQa3zLp19fkMpNh/52zXPxu8oonPeOSL7B0oP8vwAAczVKiDYAFmpCTsn9eywnhujvJilfeuUSV5VGdbEQ4a5wsBVsonNo4TxejeI4yngd/ZJa8CrZ5qndw4lBFEp1uDrlBwtF8esPqg93X3zwczl4NXZKINwDePF8quL683HXd5eXlf44k8EyT8pAhAExsACBYkA6pHcB6lczgn9cz/ngihH+aRZhMEsAN9B0kDU4IPj22otF8DLDH+n/HI9sgY0firrsbJtbL9bnr2Efxeji0FBrfMunX1+Qyk2FfdmxLgp/N95dPT2wzgH367wvswUHq+gzA0Swl2gCoz3nRDNDA9LAlYqRnD/FsH2FIFZuxoXZsopXUxnnaGMVzlPE8+COzrL+CyIIDzB2cOFQBgcqYQG6QcGSf3rC67Dr+4f8f+9zx7XBxec/ejw+Hl/+urt6OT5c37G8D8Oj4eri6uHpkTyBM/3Z9KT7Jf7q8+ieeKPQ3ANgksmCxhROPLj7qNNLpxPBMwx8ycN7nA88k/88EgPF1d3l5/fB7fNh3Z4cD+z7DrUJl1tPrBCzlAaY22qfL63+vB/YnDfLVO/QZIDUjSNkZ9TEfO54Mo1lS0/+u2HcWtOf77eXl7ZdKoknhwZgh1B/wAAZ9B6mvpX/z6bEVjWZk4Ly7P352e/bs/911bH/MXL58pYij4+Fw/8i+snM49BsAvdH7ge0YvBxej8fbQ//nPGKZiLUjjlF12PbrSy0zvfrkKjMP6r70P7kBwL/3/6/r2FEdsP5mZI1SMQbgaJYSbQDMsyyKfc4BDUwHXiJGevYQz/YRhlSxGRtqxyZaSW2cp41RPBe7MsxTmyNLVLkO/y2qHJw4VLNVDrlBwsl9erBizxqHfvTEvuLL/haA/RH/vuNf/O2u2X9nP9boeH12wZ5ALvlHkOyzfPF0cM/fd8M/AQCLp67bn3d78TfE/QYAU/XptAQbAK/3Ngr28MG+IX3Gn0DES8H4Pe92F2fdF4PDX68oZ58AdDyD4aEKEInBCuoRqZRDnwEYADtWgq6P+VjxJGKw7qf3zOmoPdnnuoyQ/1QSptfouSHUz7mZeEHfQcIuPj22otGMDNyw7/2/dC9n++Mr/zsAewGIRXXT7b74Ydl1co0po0/uccGOSvaFHr6Fx15imfRrmq0Ydbzow4QHeWX+/bq9YFsPbDnCQSCjsK1BuQHAh2wNvvWB1Sy9t8AAHM1Sog2AeboCvGfmKxGoRIzMMibc20c4UcC2pqkdm+jn+p8119GGE+P5xMoNWoMOTpY8iUJukHAdPj1Yveu/xv/hWwHf5x37UJp9lv7JvpF8/sUeJ16t0ZF/FPjGvwvMHiXefy+6q6Pw/DpzbQCAxRN/8H7kieUGAKQDSTwYcxPxwijY16KfeN7f4x97HTWMj+6MjT5+j7+33f7n5w+jkvVonXhq0h5Y7axH5FIOfQadGupmkqpPePRP+H31EjFYCxQ83ePXu/ZkwtXv8eurTyKsNXpmCPUrfkbeoe8gYXOfHlvRaEYG2A7Q76Fjz/c/d91OHlRoAbBFddPtv4+/D2xb7kcsIlgl593rL3ui/3tirsbrgh3Jx1u+d6YO2359yTe2/afWrVyOcBD0h5m5ASAOdiM4ia0wAD2XEm0AsM44rtal+wW8Z0YuEahEjMwyJtzbRzhRwLamqR3b6idVQwwQAzMzsORJFHKDhMv36cGKbQA8ytG/rmNfHr7rzvgGANsFOOc/48cfEPDo+HnY79gXBP6xZ4Vr+Rfr7LGcebKHE/tHALUFi31zOJyzzQL2khsAkA4kewPARME+Ed2zR5kD/4yTPehoGOwZ6Pzqnv8Vg/yrZjOnqkfr1FOT9MBqu54Dyydz6RT9300rBmTd3A7qkx79BkDPj9QZLPXT7FsU4MlCyN9hlEmAFIaLG+r6uTz1gr6DhH18emxFoxkZYMvkbXd+fOz+7dmhN1wAF2zd79m3YJgFO0bFUgajQ3f7r7vt3m/wrwdc8COZB9bHi/qNCbHMmL86LvtVpo8JuWhZHv0NgO99dyG+wjMjJ5QqiAE4mqVEGwCMNiAliMMUo2IpSgQqESOFhHCf9hGG17IBS2rHBppYvYQZ9lGL1ODBydWeqem0yY7ToZ2wMvJluBpgy0QxAkrRCGuIA7NiiiJJwoKIk2iYabHyVCA4gYOk5uS7Tw9W7GND9pjKX/+JX/hi31PnGwDs2f+8Y38DLzcAzNHPWXdxf8f/SFk8xvIPK9ljBPt8kX0AP9wAYJ7cgsXe85f4awO5AQDpQBIRJRr2f4zi+HvWvZ2xh2T5ZAIw3q/ZV+X576epDQDIyVCJejRSiVl5WGo9lPXABsBROcgMOjXYQX0SnQil40mdwRJMAzOSBVa2TAKkSMxHXb/mZ0SAvoOEzX16bEWjORk46w7sef2d/Z/9octwAVywZX7G9rSMDQAweul2991398j+iMSEfMH/wIf/vKBetGgDgPmr41Ksyf6PV/ghO9gA+GT7d/T8b5LbjgxHs5RoA4D1Bkip1qhiKUoEWuguJILcElVGpCPTcQaoHeP80CxnYC2rxIOTqz1T0/1NdpwO7YSVkS/D1QBbJooRUIpGWEMcmBVTFEkSFkRYhZkWK08FgrQgqTn57tMbVuxHvvmf1X9+sj8jZsIl/wfI8KM3HrHn2B/+VXxjA4A9YLCbj/3IBgCLzf54+PjHP7/svwEA6UDqH0K4EXvhvGInAb7fDDCY5c8F/9zzXszqx24IC1sV6mFaemhTqdZD9sXoB/4HC2xDQ79ECplBpwY7VB/zEaF0PBnEYAmm2a++9cww4ZEZ/vVl2OjZFHssg/plTN//oe8gYVufHlvRaE4G+L+098w/ce/YT1oMFwBbNTf8G/3GBgAYsbW4uzyyv+fnv5QBL/Yn/ezHAdkGnV60/fqSb8xfHZdiTRobADpG/w0AtvnGdtbo1SQDcDRLiTYAWJuAlGo9K5ai/Yf3EhwuX+XzTrx6IDTaERPHLayCEkenJ0axc5wnfim1BydXe6amMyc7Tod2wsrIl+FqgC0ThQXEp3ojrCEaeQuLRZKEBRFWYaaFizTXtQ+AT29AYX9m3O2u9+xv/a+6szv2DPJqP3rjB3H2yeDhif14nrEBwP+N8NtL9mEi/waAeD3aj8DsXwd4eLo7F8tCfgPASKcT9w8hPTqcl+1RsNCPCrmG8bW7f2b/PhmbYM85l1fsQb3/BoCRAHRc0h5YLSHzDz/ZP8Pe7c/EbxqIdNpBZtCpDTuzPuYjIkN4CRpYgmnxnQnJDKPu+p7964gyiY2ehUD1y5C+/0PfQcK2Pj22otGcDDyyBc4+4WdH0hlLq48KuZrEovq74j/SCX8CYBixQ/KB7RHx/TvjdcGOiVv+k52waPv1Jd9g3Yo1OdwAeOO/+Lm7uGU/QdGdsdeTEZzEVhiAo1lKtAHAOgOkVGvTDCmqYafAp84Ard5TXwEh9a9llXhwcrVnarr6ZMfp0E5YGfkyXA2wZaIMajPCGqKRt7BYJElYEGEVZlq4SHNd+wD49CaUn1v+FfqrzyP7BTL29/T86wD40RuP+Af4Z+zpwdwA+GYPCTf9nwCwGPxRBJ5xxSM1+80x9roUf+XebwBAOi31DyE9OisvfyRSv3DOLBSMnz2PfGA/BPjHfmSg+xIxZE5dD+i4pD2w2tgA+L09O3886Gcp7SAz6NTsdweVnVkfAyciQ3hZELAE0+yb/YqZP/b0xj+Q7ZNoUtTzn1V/T5L7DfoOErb06bEVjeZk4F0++bOVzf5w3zgcxXKRi+rvku0AGBsAsErY6nnjfzeA/4kI9icAN2w3i/3LHup4UetLLjO9+tQqsxcti8hfl3wDgL/YnwXRqzkG4GiWEm0AsBYBKdX6hT/nqJaGAhMDFRiY4QCpgJpCzsvAWlaJBydXe6ameUx2tD4Bd2caRh9q3J4ObYarEa1MFBYQBzJGhmjkLSwWSRIWRFiFmRYu0iTZB8Cnt6B8f7HnZ/b6+/q2ZlzD397anPtCXzw2Z5TMYsskSmGmC0v8oH6uQITQMH6/HICEiS+s30OC48X87YyvPFsOKrVp56hPBjP+72ZJe/7hQgbocf1G3IEIfQcJG/n02IpGSzIwWAAuMONG/Hn+hz3+s5datFYQvfosPQ1XxAAczVKiDQDWPCBlRZ0kqMTAXAzQATIX02vOs5ZV4sHJ1Z6p6a4gx6jdXuTpSTS0GWo8rkN1hqsRzIgSVa4RQopGIKYwRoY4cCqmKJLEEcTBibBymBarZSQQpAUJm/v02Godo393/CcAZ3k97w63u+5MPjiNZAy1GwkRPhVTP/QdJJzJp8dWNFo5A/2XB1ZeBcGfYACOZinRBgAjzHG1nqCRpomBE2IAzhonVDSVGsnAWlaJBydXe6amiUCOaDDlG2I8tBlqpvLo+QxXHQMxlRcQexsjQzTyFhaLJHEE8akc+sIVOcNBWpCwoU+PrdYxuuvkTwjMgPb98qw7P0w+/x9D7YpAjqkf+g4SBuHTYysarZyBq3P8JwErL4fguxmAo1lKtAHg5om0J80AbQmh9sNZA6lpQAwYDKzloPHg5GrPlFGkR0SOUYdLiDGKLhAMNR5gQ3WGqxHMiBJSgeFpidjbCGuIlkvBYZEkjiC4KgFYqBymBavxhgI4IGFjnx5b0WhrDEDfQcI1+vTYikbEADHQPgNwNEuJNgDa71lxhAvdhRSvo15AOEzq5VhRZKJjRc0iqEszEHW4RBkvXZkzf14Fed5OQA0oHVU5VLMBhdwg4eQ+Pbai0dYYgL6DhGv06bEVjYgBYqB9BuBolhJtALTfM4SwxMM7LAIUuqFBiSpzymmfoZzqon2JjmjKyOF0GYg6XKKMm+Q0r4KlT/V1KHVw4lDVye2ICrlBwmY+Pbai0dYYgL6DhGv06bEVjYgBYqB9BuBolhJtALTfM4QQGojUUYMSMaISRhsvjXDp/NGEpTj0t94B/7p9T0eAZXhMsjwSn7uFVkHK4RLuE3X2iDIOxzCj5forKE+WgxOHqnxeT0TIDRI29emxFY22xgD0HSRco0+PrWhEDBAD7TMAR7OUaANgnp71N7r5yaCB6bFKxEjPHuK5NMKl84dwlG0TXmS4ZTYoCkAMrJ2BqMOl2JVhMdaiyl0M5byJHZw4VLNhgtwg4eQ+Pbai0dYYgL6DhGv06bEVjYgBYqB9BuBolhJtAMzTM+A9M1+JQCViZJYx4b40wqXzT9BTZjq8yHDLMsgoCjGwYgbW/0wfRf6JlRvEjYOTJU+ikBskXIdPj61otDUGoO8g4Rp9emxFI2KAGGifATiapUQbAKxnjqt16U4C75mRSwQqESOzjAn3pREunX+CnjLT4UWGW5ZBRlGIAWKAGNgUA0ueRCE3SJhcnx5b0WhrDEDfQcI1+vTYikbEADHQPgNwNEuJNgBYz4CUag0slqJEoBIxqjElAi+NcIYtoboEhkQPJzncMiQv2WyTgZUfNBx+cgnJjkFLYRh9qAkKxI0yXI0cZaIYAaVohDXEgVkxRZEkYUHESTTMtFh5KhCcwEFSc/Ldp8dWNNoaA9B3kHCNPj22ohExQAy0zwAczVKiDQDWMyClWgOLpSgRaKG7kAhyS1QZke40TcNJDrc8TSapas7AylcJh59cQrJj0NIZRh9qggJxowxXI0eZKEZAKRphDXFgVkxRJElYEGEVZlqsPBUI0oKk5uS7T4+taLQ1BqDvIOEafXpsRSNigBhonwE4mqVEGwCsZ0BKtQYWS9H+w3sJDk+jyhJMZcQIX5PhlhlwyHXlDKx8lXD4ySUkOwb1fBh9qAkKxI0yXI0cZaKwgPhUb4Q1RCNvYbFIkrAgwirMtHCRZs99AHz64lAoYFMMQN9BwgB9emxFI2KAGGifATiapUQbAKxnQEq1Bs6Qohp2CrxNBvCt91iNtHrH2KE5ycDKVwmHn1xCsmPQ4hlGH2qCAnGjDFcjR5koAzhGWEM08hYWiyQJCyKswkwLF2n23AfApy8OhQI2xQD0HSQM0KfHVjQiBoiB9hmAo1lKtAHAegakVGtg+MNWNQgUmBhIZGCGAyQRGbm1w8DKVwmHv9vt+jP1MxPLjCYaFHJlGDI71EykgekMVwhS7pqJ4RgjQzTyFhaLJAkLIqzCTAsXad7h+AD49MWhUMCmGIC+g4QB+vTYikbEADHQPgNwNEuJNgBYz4CU9htICImB2RmgA2R2yleYcOWrJAs+ckbP9GjG0dWpee4ytBlqHKHdqgxXI6ARBZVrmISJRiDmYIwMMSxSilWRJI4gDk6ElcM0BXasD6QFCcfw6bEVjbbGAPQdJFyjT4+taEQMEAPtMwBHs5ROdwPg6Z/uluNq/fyfnk0S3u9vv5McQ51CARplukK/vLq0Ll1oQpdvrM6LioPwAvFODNPbCbyupRIOIfg07oZxwF6QdqhR0OFhICycNUBHEjGAGVj5KsmCj5z9A0yYGCFjxzxXDW2GGo/rUJ3hagQzohiiYRAqYm9jZIihseLtiiRxBPGpHPp40PEekBYkHMWnx1a5o+q3RT1A90VUoQ++kCqHDb9D30HC5fr02Cp85O7NQjc4oUvBDVoXbd9P6omBEJpw4Jig8KIavUGMQGgn8LqWSphAArkgBuBoltIpbgDciwf+6wdEjDW4HZ2VESwXc/jVPb78mori8jhASDde5vH2DkzHJZ5wsu7xEMGzXlQ398cj/89+CWChlDBnO4HtqreESiW0AfupdDeMA7ZBDmIqxSjo8DAqnOsBBOZIIgYkA/qgWSchWfCRM1xkGRNo4GBmap67oOgixlDjCO1WZbgaAY0oIRUYnpaIvY2whmi5FBwWSeIIgqsSgIXKYVqwGm8ogAMSNvbpsVXmqP5tUX9ddV9EFfrxC+lcNzkKzbLv0HeQMCKfHlsNRl4a3b1Z6AZnfClAUW7Qet6+n9QTA4En9FIzsM5TeFGN3iCGUsKw2Qm8rqUS5vFB3ubtiDyuT3EDgK/G43HikB5dLDLCiMnLxcjkrFOuMo27EPsQHsc2Wfe4e/CsF5XvRBILzJugh6gveqUSDkr3InY1bHiqHcQzFcVBazrMLCQTA8SAiwF0uBgnW5ft5AaB06kpJSo3Glmed3S6mRwcVTlUM4EZ3vYNE8+CbobbInlddV9Eh1W7NN4rs8t49TroO0i4KJ8eWw1GXhrdvZm6I0Pxi9/goOiugRu0toxC7/wIS4cqKHhRleLPm8AuolRCOy6NYxmAo1lK290A+Li9vHrgn8I//fd6dfXKiXq9vmBfzH/Z7Q+HH7YB0Kvfbi4Pn8Lu5Up/Hv7MHLTj038vlyLCwxuze3ntI/CQ+sVsuLcM9nxxfmC7DDgyjBSet5uL6xcWQc3oYANBF3O8FTWwD4VERQPDgeL6oceuQrCqdpKO58ur//gh/MWYuvsZeFoKllDV3ePlJV+9HZ8vr98tW2PY19jTIzvAmO1BaQE4EKiuVITevfcTp05xZVGUyXkJTFCiLHXz+kgw7sv+ZJX/HtifFPx7NNjs8+1UGH3mik6oKjgezUyqCz2VKmpPD/fRDeuXKwPX90nUpzxQ03rUymMAmrHLVlqf06QJWAG4DkmeKxwTpCIGiAGbgajDJcrYztTEOK+CqQ2SJkqMBuHgxKGKDpvqALlBwrF8emwVPeovbPKqVe62SF1G4R6t6s1ddNnrcYC+g4TR+/RgtZobHL1s1J1S1m10/1Shbs/QHRmQY0mz3kazW1z56m8Q8+9q4YYx5DZa0zy4I5WAAu7bVQX0XoYBOJqltN0NgOfn97cr/iB5vbt9e+rYM+rL2fPbzfnv5+XNv39/Wv169vz+ePbF7W7+8Qd88eIrVjte7w5vzx17VrzgdyuHuz5CbyrfpHcf7ON2z0LhyMaox/PaPb7/x74RpGdQQDTQxbzsRA3uL8Ijl36gsasQrKqdoOP57OXtesfOEef372+Pk79YwBjp61Z4OT8P3d3d2/0Z32hxvlSNkp6+A4zZnlAtqJhHiUot095d+ekNAGXez0tgvGfaUjevh6XHquyf7vv4r2ML5Ia1gLvyl4K7k0tFTvDJ+IQyIP+/mUl1QSJWUc21pylRpSjAAqT2MJumUCsPDtgE3ZfVt4/PKEvNCqB1SaodrjnSEQPEAGIg6nCJMkZpWhmsv4LyTDo4cajK5/VEhNwgYVOfHltFjyrdFqnLKNyj9Ve0/hqnrmv6cpl3cxdd9nocoO8gYfQ+PVit5gZHLxt1/6Nv/KAYt6TvylQItcL6G9Y2b6PVBsBSt9GIZvOONPy+3d0O0qYyAEezlLa7AcAZ+u34g/0lk67ZU885f3zfPfYHvVKf88/g726Zifm1fb5alcXxes9MHth0vwHgOm1IbxXsiedUAx752RhpPE/MyLSTQ9//RTHnvG2sBhcEp6PGzmd5CFbVTtLBCv87uzt+dz9OT0vJGeH/QV2Cnx3fYzlnmyPu13lfY09P3wENSguaKy78nall2rurzgkAHIQyV+EFMDHRZ4Dm9bh0M2UCdmrcvxzv77q/4xnb9ZGFsbg9XPGPgSma0xIafJiZmFo0UmRUZZhrDyjpS9GATRyoaQq1ookbmsaqLJFTzqhGqLVooHWIqh2OKVIRA8QAZiDqcOFH4rpfUeWuu9Rg9A5OHKrgcLmGkBskHNOnx1bRo4nbIriSwwVbX83UjZkn6Yw3dx4EW1BD30HCdfn0htWabnDkbbS6TZS3REYpHlHflfH5/ja6f6po+DZabQD0h5S6P5ztNrpAQk8/SJ3IABzNUtruBsDv4/XFRcce7viz//H+wB502W7A8e6mf9rr1V/d/eMjM+3tFK38xKAcj9f8QHpnz4pjGwA8iw7GNwD0gAfaoZHA8yXwmHYq+fBdFfPd8baxGvoihpa2RmNXITgYSQf/0J9PX+wf2Pcjpl6cEXG61JUIfq7Y5+eSF1cAVaPkUndAg1KCjvnNPpdnqHbHn9fX1+/eXfupM5cy1+EFMPY/sNTN62GpcZ+Alc2WxP798u2D9ZXFNfMdv3f9UslIaNBhZFJdEIFVGf1SExD0YlOlAGBWH3jIpmHU5gI3jRVNgiWeWcbe3cASN9A6RDhrOCZJRQwQAyYD63+mN6uZlE+s3Ek+uIGDkyVPopAbJFyHT4+tokfisquvWoPbIuOCpi7Q6mKlnVw59WVUeamrpbiu6ls3iCHsVCR+HVSO+no7dnOnHDf4Dn0HCZfp0xtWjd7gsPtk3WaBVi0bvVr65WKU4hHVjepRhVCB4faswdvou4Vvo9UNqaDZuCNVx7ikX9+Q8ucaxaunD6TOZACOZiltdwPg8ub966v7x5YUf0S9v2HXGv5seX+trhFS/dk9PB2entg2HvqdD3GN6B3lovzofseuEcKbB2OvlyO/0ukBj7xDI4HnU+Ax7fy9VcV8iQ0AVkP4mYtvTHDsKgQHI+n4YTMH9iT893o423NuRl+cEf4f1CVKvnpkKrEx4vJWNUpydQfEUc5BKUGz8yW+jnDYHT+ur6/fe3ftJwAwEMpchxfA2P/AUoBjXVcvNe4TsLL/nf+c/T3cP/GvMNzcm/mOX7t+qWQkVInZu5FJdUEEVmX0a09A0JSoUgCwUbhqGkZtLnDTWNEkWOKZZezdtT42DLAuEc4arlnSEQPEADFADIwysORJFHKDhMH69NgqeiQuu/o6N7gt0ldyuE1TFyvt5MqpL6NwWffd3In7scybOxeEjeig7yDh0nx6w6rRGxx2n6zWhwSrlo26t8q7je6fKhq+jb5b+DZa3ZCWuY02FhyJqQzA0SylzW4A8L9LYp90GhsAf/zrAEf2S33yOag/NfwyE0mFUCheuY0+eVyzB272V+DM+ZEJlyqCshXvwpgHEy9+pdMDHmiHRuLUoTTqHYXDA13Mn9gA4L82KIvAZq6Rwq5DcDB8A0DSsWeh2Ovvgm92jL54QpFU4xUlj28AYFvdAQXqqARt16Pql2mv1n7qRKLM1bsExtCBpQDn2ADoE7Cyfzt2gXi/uH5kZfdsqnh//M8C+FLJSGiQCZl0F0RglQ5tPilKVCkAmIEEDxZeNU0plYcNWnvJKjVN7PcfbJYM0KYIZw1TSzIxYDLg+NTTnG5dzoKf5TzJzDD6UDMZRBlkuKoQ7L1MFCOgFI2whjgwK6YokiQsiDiJhpkWK08FghM4SGpOvvv02Cp6JC4w6gIlPhfRA3HxwSN+X6I06t2VEi6j6gKGrn361g1iCDsVil8HlaO+BRm7uVOOG3yHvoOEy/TpDatGb3DYDZxuM0erl41eLerGz6jFLaq7Mh1CBYbbM+ao7sjcMYSWrz1xH6bXpohU5zZa3tyrQwpXzUAoCOpdAmMTYKnKVBWpMZQNvR/eRqsnLvuONCKhSkzvZRiAo1lKm90A+Otejn/X5gbA8fbi5/hf93m8v/r9gyvA7f5rd/xi34EXa1uxzI9RtdiPPMzPnj0iP+x/2Q+q3fURlK14l94sGPtO/7u40h3VgAfaoZHYAJCaD/ZPvPVOKB4aQDG3O1lD+Jmrx65DMDDP/EJ7PFz+Hl9YMT+s9t/95J0JZ0Qyp/CKksfPXLrGnp6+A5pQLaiYPSq1TIX6Q3dOnUg0Zf28BMYRqh5D83oiBQCzbLaT0z2xU13HOqDZVPF0GB5TxO17pAwEE6MJzQbqTLoLErGIZq09oKQnS/UJ4UBNU6AUahu06oJsn0a9+xywZII2ZNUOQ0UiMWAxsPJVkgXf7zx5YrVYdA2H0Ycal59Tl+FqxCsTxQgoRSOsIQ7MiimKJAkLIqzCTIuVpwJBWpDUnHz36bFV9Ki/7vtui4ybH32B1lcz/20RXEbBy3dzJ+7H5IVOoedXQO2or7cjN3fKcYPv0HeQcJk+vWnV5g0Ou9fXbeZoYdmoOyV942cW45LVKtEhdGB1e4buyFwhpI6vvdluo/sNAHX/h6oWt4HRd7WDsue8jfazSjOhDMDRLKXNbgCwZ9vd2fOZ8Q2A4+9Vd37G7se+r87YH6eopfx3xwzPX0c3AO4uz7trtmnwe9GdHdi35mUExLkId2TBznkw/g0APeCpdmgkNwD+Dt15x57ElROKhwe6GIZA1BB+5lLYVQhV9/Hnsju/ZsV8nXe77sCqG3/xE4asW+EVkSY2AFSNkh7VgWsFSgsqZo+Kfy2fv3p35Seq5kCUuQovgPEJbanLlIF0u3XZbDuHXSCOV2fcgLvyl4qnw/CJtIQyoPw/ZFJdkFSqMiQ6aaspURhUnxAO1DQbtQ1alSXbx2dFbHYGsFkyQRsynDUMJYnEAGJg5askC77f2T+DyBsdDGMMNaMBzMkMVyNMmSgsIN4gMcIaopG3sFgkSVgQYRVmWrhI9rPBOiJIWiUEnx5bRY/kdV9d5wa3RXAlh0uRupopJ1dOfRnVFzB1tZTXOKXWMSSOPhS/AioL9hsA0zd3Lggb0UHfQcKl+fSmVZs3OOzUotss0Oplo1aLvvEzi3HJepWoEDqwuj1Dd2SuEFLH195st9FqA6A/pFDVHIg6PNQh1/httJ9VmgllAI5mKW13A+D49zV4qP0Zqhhxf+xT9dEXO9i/+7+R/54wZVkNCxhwtmGksv32xsMZZaHeoRh3DcrO9d5jhxDKSBX18/WrVGHv03ghjqpRaiR6TagWDHYUKunQuw+qVhBweOYzsAQovYQTWNMq3iBMRkIzhdUFFdU00YtNYUCAlQdqmg+1Mj4qA52Hxca33nrGIcBZwzFJKmJAMLDyVZIF3+/snwlfNsMYQ01wtAxXI0eZKCwgDmSMDNHIW1gskiQsiLAKMy1cpEmyD4BPXwiKvhDxeGhgjfi8ulhhOz6jX9ZllOvV1VLbCGEkhjQ0bkEmb+5w6E2MoO8g4cJ8emylR1ZnnPyrGxrVMjUWQZRH/g2OxqQFAKdS66lJoQcJIZSHQo8Aq8mxd1XpmI2aU8eEHEv0eulqwTi2FCrp0LsPqlYQcHjmM7BUQPQ7TqDVUlDxBmEyElopaJjCABzNUtrwBkA4PUCK24cdX7mv8Iet3Exr8NeEamENqE8X49QBcrrMUOXAwMpXSRZ8v7N/RjIXcmUYxhhqoA8TUoarEblMFBYQBzJGhmjkLSwWSRIWRFiFmRYu0iTZB8CnLw6ltYAnfgsCfQcJt8inx1Y0mp8BvXS1MD8GyrguBuBolhJtALD+ASk/B/kyPsVn84endTW5ebSaUC00D/mkAcIBctI0UPGjDKx8lWTBR87omR7NOPibmucuQ5uhxhHarcpwNQIaUVC5hkmYaARiDsbIEMMipVgVSeII4uBEWDlMU2DH+kBakHAMnx5brXpEN3eO9kHfQcJmPj22otH8DOi7Zy3Mj4EyrosBOJqlRBsArH9wtf57k6/BHw+00OX+rxAYFJBawEUYFmPg93WWpQBnjcUqpcTNM7DyVZIFHzn7B44eImPHPFcNbYYaj+tQneFqBDOiGKJhECpib2NkiKGx4u2KJHEE8akc+njQ8R6QFiQcxafHVqseNX1ztxSz0HeQMBafHlvRiBggBtpnAI5mKZ36BgA8P4FUuIsQGKSkFK/89+r56+NVvif8HyCAlBBmwy6CF7El1DxD/x0u1JKo2xA4a9TNQ9HXzADso66yiiz4yBkdLmjgIGZqnrug6CLGUOMI7VZluBoBjSghFRieloi9jbCGaLkUHBZJ4giCqxKAhcphWrAabyiAAxI29umxFY22xgD0HSRco0+PrWhEDBAD7TMAR7OUTn0DoMRD9UTXi6X47R/3Pi4if7PPACjA8LuQjE0EI9wGRcEQPzhaZ+hxv9vP8/zv+ARyg42nkoiBMgzARZbFm3rkQ8Zl8s8cJa+CPO+ZSw1O56jKoQoOl2sIuUHCMX16bEWjrTEAfQcJ1+jTYysaEQPEQPsMwNEspVPfAPjtn6H+y3ionui6SvGaneKGgX0+vu8yfpNQbCKw1r9lg5moOm966q45L/qot2gXY+hf0wz93O52V3M9/9MGwOiKoUliADEAF1mkdg+ijN0hFtbmVbDgqb4ibw5OHKqKAHBoyA2SzwLrabRtBmA9gIQr9umxFY2IAWKgfQbgaJbSqW8AHG92/FPU55yH6qmuH0SKp/wUb+wj3937bpfz3XS+ibA7/pcPZqrqrHlYpllhkpz5itgdX1pm6PN6t9vd5n7/P/zWe8l2JPWQnIiB5RiIOlyijJeraSTz+isYKS5xysGJQ5UYPN4NcoOEo/j02IpGW2MA+g4SrtGnx1Y0IgaIgfYZgKNZSie/AfDFv0f9nPdQPdF2nuL5qUSKi4uLw+7idiLf6PQn30T4rwSY0TSZk7BMMwMluAuGXlpm6HPPnv93+xe+bvmrf5KnETHB9zKXXBMJx9v2XKLOXuHbcK0SFVVuq0UUxuXgxKEqnNQfDnKDhK19emxFo60xAH0HCdfo02MrGhEDxED7DMDRLKWT3wA4Xu7297vrrIfqqbZf7fZXRVI879hHv5d5f/h9ubu42V1VrXeKj9F58fUGsTiFNGpbZ5KtiOuWGToef58vrvJ/AQDOBVM8hltORaJ5YmDzDKz/mT6qRSdWbhA3Dk6WPIlCbpBwHT49tqLR1hiAvoOEa/TpsRWNiAFioH0G4GiWEm0A/OMfmF3lPVRP9P2tWAoW6PJ6ItvE9H879vlx3XonEIxPL/8jfDOsiHEKQmb/u77ciz8tCTF228C5wD0P2nBL8CGJGCAGiAFioGdgyZMo5AYJN8anx1Y02hoD0HeQcI0+PbaiETFADLTPABzNUqINgCN7Hj5kPlRP9f2C/cV2kRT37Nn9v6lsE/Os3usiYCbyJE6rnynM+bcOElMrN8bQTcMM9TA/2O8AfijIKe9wLpjyDrecikTzxECjDDg+tA1HmuU8mWYYfaiZDKIMMlxVCPZeJooRUIpGWEMcmBVTFEkSFkScRMNMi5WnAsEJHCQ1J999emxFo60xAH0HCdfo02MrGhEDxED7DMDRLCXaAOB/NHuT+1A90Xj2F+VlUvzu9hcTuSan2a8RlAEzmSnN4CB+pvBjwR/ha50hxev3Q9bvAMK5QAX0vYdb+iKQnhhonIGsRe53LvHIN4w+1ASzm+Fq5CgTxQgoRSOsIQ7MiimKJAkLIqzCTIuVpwJBWpDUnHz36bEVjbbGAPQdJFyjT4+taEQMEAPtMwBHs5RoA+B43F1lP1RPNX53XSjFQf3O2VTGkfndZSEwIzkypv7x30z8WPRH+GZYERkEGa6/rxk/lADnAiOiUwy3dLqTkhhon4GsRe539s+EUzKMMdQER8twNXKUicIC4g0SI6whGnkLi0WShAURVmGmhYtktzg6IkhaJQSfHlvRaGsMQN9BwjX69NiKRsQAMdA+A3A0S4k2AI5/h93Dh379le7hHw99q1KkhxdxPv7bvwmoaXFkjJseTESM79dfxYuMofiKiKECTL7vLy9edvsblYK/10gzguNOtUtgmDn5CK6y3ONb75G0xv3jmBXNEQMrZgAujQlF+J39M+FphjGGmuBoGa5GjjJRWEAcyBgZopG3sFgkSVgQYRVmWrhIk2QfAJ++OJQ+YNlLmRflTGm8+ZufgL6DhEH79NiqzKh+u0pkaCVGAOcloAakcZssmtwN6eS1cDRLiTYAjuzDZuOV9VfVruVVKnyJOOkxPi4O/2R16TFc7Lh0T7vDbsd+NsF4Fe+KKy/oxK826vQzJwcYA6k+94OUQgFnDfc8aYmB1TOQtcj9zv4ZyVjINtwwxlATzH+Gq5GjTBQWEAcyRoZo5C0sFkkSFkRYhZkWLtIk2QfApy8OpQ8406VspjS1WKofF/oOEs7q02OrMqP67SqRoZUYAZyXgBqQxm2yaHI3pJPXwtEsJdoAYBsAD+/q9ZL3s2qu5fWxe2HR+X/s/xnhZRwRJjlOH0OAicTywf7ZuSdeXwkcLp4MHXv0vrgUtOWVa4SME2eoMQ5Qb70ULjhrJMEmJ2KgfQayFjlyRs/0aMbBwtQ8dxnaDDWO0G5VhqsR0IiCyjVMwkQjEHMwRoYYFinFqkgSRxAHJ8LKYZoCO9YH0oKEY/j02KrcaKZL2UxpyvEydyToO0gYg0+PrcqM6rerRIZWYgRwXgJqQBq3yaLJ3ZBOXgtHs5RoA4A90b7/qdd7xhO6Z22VCl8iTk6Mj/3lbnf3W5suzuId+7cOnup2xdOsXp3D03jkvNmlcMFZIw8/eRMDzTKQtciRs3/gKB4ZO+a5amgz1Hhch+oMVyOYEcUQDYNQEXsbI0MMjRVvVySJI4hP5dDHg473gLQg4Sg+PbYqN5rpUjZTmnK8zB0J+g4SxuDTY6syo/rtKpGhlRgBnJeAGpDGbbJocjekk9fC0Swl2gCo/URb6igoEScrBvsrAPbR/M1/9Z/Mf9k3ALKg5h7miyYfAb8ULjhrjICjKWJgzQw4PrQNLwc5o8MFDRwBp+a5C4ouYgw1jtBuVYarEdCIElKB4WmJ2NsIa4iWS8FhkSSOILgqAVioHKYFq/GGAjggYWOfHluVG810KZspTTle5o4EfQcJY/DpsVWZUf12lcjQSowAzktADUjjNlk0uRvSyWvhaJYSbQDQBsDUQSH+GJ7dubB/zJC99vU3AI43O/bPAFT9XsZ4zYsmH4G2FC44a4yAoyligBjgDKDDZeqRDxmvkr+8CvK8WyXMUZVDNRt6yA0STu7TY6tyo5kuZTOlKcfL3JGg7yBhDD49tiozqt+uEhlaiRHAeQmoAWncJosmd0M6eS0czVKiDQDaAJg6KPo1w37S4+Lq4vl9hifzz/3voiePRZOPtGMpXHDWGAFHU8QAMcAZiDpcooyb5DevgqkNkiZLngTl4MShmgxTygByg4Rj+/TYqtxopkvZTGnK8TJ3JOg7SBiDT4+tyozqt6tEhlZiBHBeAmpAGrfJosndkE5eC0ezlE5hA+DzWnx07f+f+Vmz3yp5Jjj81ZP9L84h6MFxRpC2EmMEopoqAVXFin5fNPkI2jhc159jJ7zwW284a4zFozligBhgDEQdLlHGTdK7/grK0+rgxKEqn9cTEXKDhE19+uMR3YOMXJpip+IuZbHRtX3tNMObNkxs4yPoO0gYsk+PrTJGf09Xulvo0yXQlpRKLIhWYgTwUgJqQBq3CSS/dxn0d6DPco5Gx1Qmwo8+OJqldAobANdvo/xU3qeKCP99f2shNaBHxLGCwDAjBvv8/1b8e3gZMQDItDRTGjeQRZO7IQltLK6365FgEc8pcNYYi0dzxAAxwBiIOlzCt+Fa5Taq3FaLKIzLwYlDVTipPxzkBglb+/THo3EPgl2yRrGXssRk9dMMb9oSoS7jBn0HCSPx6bFVxuju/lt5129XiQzeGBFUeWMoKsq8h6aJQB4ObCL5yo+ccB5asoRGS+kUNgCgZmcnJpap0ydCGRP+z4ZqjGPi+OClx/i4eOjP0ukxfKic+pnSOHPX/qsQd9IAbTQpxvoZhh+dRObhlsiNBsTAKTKw/mf6qK6dWLlB3Dg4WfIkCrlBwnX49JHbWTjoyCj6UjYSa2RqhjSDm7YROO1NQd9Bwih9emyVMdrD917rt6tEBm+MEKr6D3nv0XcdxEdrGRR6Xb1QLY8Q5JbL9HAq+bqPnOn6W7SARkuJNgBqP+1NHQVolUB7pNoYR8VBQWGQHOP79VdFSY6hAoS9z5TGDWbR5G5IQhuNy1g/w7Cjk8g83BK50YAYIAaIAWKAM7DkSRRyg4S74tPXwh19KcNwQ0dzpPFTF4pyQTsADxKG49Njq4yRkaB+u0pk8MYwKpniwxtjyjFuPjRNBPJwAJPJq2QNx3eKlkC5lGgDgDYA4o6DyaM6LpzPeqY07vSLJndDEtpoXHC4O6KOTiL7cEvkRgNiYD0MOD60DQef5TyZZhh9qJkMogwyXFUI9l4mihFQikZYQxyYFVMUSRIWRJxEw0yLlacCwQkcJDUn33162gDAPDlGfuocxq2pADxIGKNPj60yRkaC6Buc6LQlMnhjGJVMAfPGmHKMmw9NE4E8HMBk8ipZw/GdoiVQLiXaAGAbAC/v6vWyK/5lHG94+1cx+HKE9sjFaYy9cSKWcSsxAiCXgBqQxm2yaHI3JKEdxRWynlBsY3Eh/XAQbjn0JQ0xsAoGsha537nEI98w+lATzHGGq5GjTBQjoBSNsIY4MCumKJIkLIiwCjMtVp4KBGlBUnPy3acf3pNgv9TR6KUsNejQr3Sa6IvsEFJbGug7SBihT4+tMkZGgtLtGqIqkcEbw6hkmBlrvDGwWe4oNE0E8nBIOLl16PAwVbKG4ztFS6BcSrQBwDYAzFeFDQBPeGiFWIhiaOnMI6QEzFZiBBx5JaAGpHGbLJrcDUloR3FZa8e5nlBsywHN4UG4JfajETGwGgayFrnf2T8TzswwxlATHC3D1chRJgoLiDdIjLCGaOQtLBZJEhZEWIWZFi7SvNP2AfDpTd+SsEYvZeUSlU5j0SSGlq4c+DkiAXiQcF6fHltljIwEpds1RFUigzeGUckwM9fAyc4bw+2Yqg1NM4k8BcBYcpGwStYUpKfjA5RLiTYAjn8f5gt+kKTQovCEF7sCZgrnEQHtKgLTg8WE4ZDhrMUn02I4wo6rZkrjBrFocjckoR3BFbaeUGzcVzRlDYxlaM3QkBjYCANZi9zv7J8J520YY6gJjpbhauQoE4UFxIGMkSEaeQuLRZKEBRFWYaaFizRJ9gHw6U3fkrBGLmXtpkm4yJYspkYs6DtIOI9Pj60yRkaC+qtCZNixO37+30fa3b4X5eQdFZRaAkcA516olu8kcss+aGgk3+CRE0RBbaPovsEKlBJtANRukSf+jt35QDOYkRggjVJ6IsymtkHNlpgShTMQtp7C4yFLWgGIDhpskYGsRe539s9IEkMu4cMYQ01wSzJcjRxlorCAOJAxMkQjb2GxSJKwIMIqzLRwkSbJPgA+velbHNbaAla9yC5DBvQdJIzEp8dWGaPqCQbYeMb5sw6TLoZjwEhtxQaPnNqUBcWPXsXgICXaAAjiubxR2JYYtKs8guCITYAIRnuihmHrKZEcWgGJxJHbehjIWuTIGT3ToxkHG1Pz3GVoM9Q4QrtVGa5GQCMKKtcwCRONQMzBGBliWKQUqyJJHEEcnAgrh2kK7FgfSAsSjuHTo5Zgl9MbVb3ILkMn9B0kjMSnx1YZo+oJBth4xvmzDpMuhmPASG3FBo+c2pQFxY9exeAgJdoACOK5hhG0QkQXQ0u3zFnKLtYGZc/TuAkGrDY511MiUCt0YhRyIwYaZiBrkSNn/8BRPjJ2zHPV0Gao8bgO1RmuRjAjiiEaBqEi9jZGhhgaK96uSBJHEJ/KoY8HHe8BaUHCUXx61+LDnic1smgSQ0u3Lj4APEi4Ap8eW2WMqicYYOMZ5886TLoYjgEj9RUW32Jo6eqD2FyGaAbBQUq0AbDQmgjbEoN2LQSTp20CxIL1ryJ12HpKLCVpBfQfgj0LZDsaHYmJpleBWKHJPTKPLHS4oIFp1ctT89xs+HnyUOMI7VZluBoBjSghFRieloi9jbCGaLkUHBZJ4giCqxKAhcphWrAabyiAAxI29unp8m/wVPUia+SZUYS+g4TT+/TYKmNUPcEAG884f9Zh0sVwDBiprdjgkVObsqD40asYHKREGwBBPJc3CvujGGhXeQTBEZsAEYz2RA3D1lMiOUkrIMkpESC5EQPtMIBW/tQjHzJup4YIJHkV5HlHwJzV1FGVQzUbJMgNEk7u0y/0pITBtTKqepFdpkjoO0gYiU+PrTJGjgTJ+7BhnzawjFMZMuoZcbVK5UNLNeK85qkNHjlNtCN69YCDlGgDYKE+hm2JQbsWgsnTNgFiwfpXkTpsPSWWkrQCkpwiAE5dwhkj/cMXWRIT07d85daLXPmBq44ZB1qyY6MlS32o5h3oUxskOs2qBAcnDtVsJUFukHByn54u/wZPVS+yRp4ZReg7SDi9T4+tMkbVEwyw8XPO+HmnEiYr6TSOAfSVKjZ45DTRieh1Cg5Sog2AxfoIrRAQxNDStfHsbZ21FiOMEo8yYK0d53pCAcL7aoVGUbyDJCdvtFYnWnokIyxtbHSIu53C20+trn+G6zQO9LgGODhxqOJiZlhDbpBwOJ+e2ot4smgSQ0uH7JsfAHiQMGifHltljKonSMCWhin8jioBUlWX+sgtRsXQ0lWtcJvBo/sGlEvpxDYAXm8fjsfH29dFVoOVt79N3O3O2YsNOCZoj0RojxfBTUlXwYBeT73AQY+un9FJVHK4peGW5GT4k0gMrJOBqJUffQlvjpOocptDXweQgxOHqk5uR1TIDRI28+knriE4yGBk3fJY82gWBiBZ9olDf7z428Hoi2wi5tncoO8g4eQ+PbbKGFVPkIAtDVOalwfez+fnr5j6fvvvXUoeywLqosideDZ35DirbF4JjZbSiW0A3HX74/Giux3p09PFzcjsYCrC3JP30LFXfxsI7ZGJ7PEgPSmIgREGRtfP6CQKGm5puCU5Gf4k5jBA3wZo49sA1If4PuSs+0Z8Hds6S54PITdImCmfPnEDoL8t8tzy9KnRLAxAwhCtUfCdlz/e9O1gSBI/dRbiFocAHiSM06fHVhmj6gkSsDmO34Aoo5X0SylkRbFU/87VU8EVfz44SwMUgFmajCIPjhJruEzWWJSbsgfKpXSKGwBv/32M9FRcFEbmrakIc3feh657vO26NxEX2iPT2GMrOQ2JgVEGRtfP6CQKG25puCU5Gf4kEgPEADGwFQaWPB9CbpAwrz594gZAf1vkf/bm2dENEZgiNUZpjoLvvPzxRAj/NMsWksRPnQm3URnAg4Sh+vTYKmNUPUEGtjjX0Ur6pRSyoljWl91N/7Hg/vLpie0GfMZBibQeRR4ZK9x8mazh+DZoCZRL6YQ2AJ4ur/6Jo+/h8HI8sv/9u2Kf9b8dLq4e+Rds3m8vL2+/jg/77uxw+OD6y/tvppeGz4cnJsv/i2XxdXd5ef3wq8xfD1d9nKfL63+vB/aXBhBaOIhI4n9v15c8mHz9nXX3/EsJ12II7ZGz9rh3OuU3zbRojGASpFMmxlX76PoZnUTRwi0Nt8p71kamxcQTKHExbmdPvKpmZoDNcJ21J7PgLJIkLIg4iYaZFucZTuAg4SQ+vdoAYNfY/66u3o5Plzfs4xP7dkhflK3bIvZUr+52zBuqXsdiHnsH8b1MQ82mlCPcUAnEyqG/89KZjwya+86Lp+G3cSqgLBzdDrJZfDfY3w6q2zt9OygNcfl+6jDFTY4APEgYqE+PrTJG1RNkYItzhUrEOhE3p2qB9kvJXFHiwaNfeuwNr8/jX78BwJ/8/3UdW8MVX4C8YpJB6GWyDmCckgIol9LpbADc82/S7PSfAFx0+44Nntj/zrv97/GZf8+m+489ivPX6xMfdedf/MLEDdkR+HM8nunD8Pe8212cdV+9+fH67IKJl8cjpGEhZGi1vsQe9wXDwF76RuCzY0mPt92ZsIL2SCd7rEKd8LtmumdSbJ8ITplEL8zA6PoZnURxwi2R2+YHjfKiTy6bb0DJAis1s04zMsBmuJakezLWLDiLJAkLIqzCTCe5iTWAtCDhGD692gDYd/w7yd01++/shz+QoNshdVG2b4vgbufJuKFSd0Dshkg58PssQ22M4IZKANYO/Z2Xyjxy5+W874KwfNq+G1S3g+r2TqN33Q36qcMUNzkC8CBhoD49tsoYVU+QgS3OFSqBm1O1QPulZKwo+XTQLz1Y/iql2gDg43/qK8JqsvQ7IC8deSzeMlnHEG1+DiiX0slsAPx03eH4dWZsAHSPX+9M+3Rk15RHJlz9Hr++jr+33f7n55tbf5937CsC7IhlhscdM3zrOv5dAf766M7+2P9/pfnfkW/TselPSKNDC3v+v/5C1L3/XnRXSsuc2Lf/2eWIhVMXWzU3HMPMyUqKaUbn2SfbOWF3IiCdLCuewuFwdxiMTiL7cEvkVndQ58kqCnOTvNBZI6qH2rhSM+uEzYia4aq5Kih4D+NZcBZJEhZEWIWZFqRXhoK0IOEkPr06m7AvRn5+8Y9EPtjHI0ypbof+2Ouob3/s2yJ28yTvdsR9kb6h6u+A2A2RchD3WaDmd12Go7xvE6m0Q3/npW8HXHdeEpx13yWUYC1uy+RNHtyyMUncDvZJhLVA77ob9FOHKW5yBOBBwkB9emyVMaqeYICNn3O8552BdbgCKoFbUrVAxVJ6+oMVxR48dt3jkX28yJ8v9II/ykV71N8AYOnNB4ZwNDGWgDzGK9d2may5qFftD5RL6WQ2ANiDNvvq2o2xAcA+ruc7azeHw3l3xYR32VjxVwJsyKzv+OfyF/xzffb9MuZ5y3YF+he7JJxf3TOX/k96Pg/7Hdsi/yfTHJixDq1cxJWG/Y992d/4O6AVbADUOFVqUqIFxTRj8oZvxLD9E5Cio23cAQ53R6HhfR0N44g8i6oBUA1AcFHdKCwX1IZ0lVirEzYjaoZrjW554XgnSqIokiQsiLAKMy1ZoYgFaUHCSXx62ABgV9tz/vPJ/DMTfTvErr/8swt1UbZvi/TdDrqhUndA7MlcOxg3RvyBXTvCDZVMBQ7yJkpl5h+/sFs2dOfVg+s3APqsUimt9e2gvMmDWzYmydtBmQTQu+4G/dRhipscAXiQMFCfHltljKonGGDjGWtkhTsquCXVC5QvJZZUryj24LFjHwTu5POFXvD9ojU3AL733YX65HFQSxkFIC8TLyxKjR6EZd6KVXTfgHIpncwGADuHs7049vG+/iSe/1MA/7Gv6fPXgQl8q469xAEqh+xz+d6abcKddW9napOAmb1fsz8R6P71x/PPWXdxf8e+zS/T8MuQDi2i8v/1FyKW967TfWC76q/8unUuzLS6d7LHvXretyZAqJI104xOth3D6PtnSMqK3iUDhVpXKEzZrjQAqgEILk4bheWC2pCuEmtTYaMv4YKyqagjvGa4jkRNnvLC8U4kp3I4FkkSFkRYhZk6gOapIC1IOKJPr56U9vzZ/7xjv20kNgDU7VD/VK5uf6zbInnLw+927BsqcQfEb4jUfRSYCkncK3EjuKHqn4y0g7hRg9sBMNR3Xr0Hvu+SSut2UJgYt2wSLmNIPq4BemmI7wb91GGKmxwBeJAwUJ8eW2WMqicYYOMZ62bVN6ewQPlSYkn1imKPHbv9gW0A8AcRWP79ojU2AD7ZB5SVn/8HDM2jqNuDeWpYNks0g+AgpZPZAGBPiuxWa29tALC/wGdfwD/+/TDhkQv82/iMGTZkP7px2V3oDQD+0A6P7aLrPxfdnTTnl6kfvgf9H/vbgQf+NwV7HkKGFrb8f/hCpNR8V/1v13+3ANojp+2xcpr1vQkQqmLNNKOTAXvhGzcgKSt6lwwUal2hMGW70gCoBiC4OG0UlgtqQ7pyrKFn+qmwU/NuhtK8RKwMVzcWVK7bZETrheOdGAkWPVUkiSOIgxNh5TCNxpzgAGlBwmF8evWkZG0A4NshuCizoMZtETzW2DdUegNAOYCpkMS9EjeCGyrAKzLIOy/IDIb2nZfrvsu6HZTP9eDIpEeW76+/vQP00lB8hKPvBv3UAeRmJQAPEgbr02OrjFH1BANsPON4VsfxO4gyptC3pLBA+YMFSyqeL/qng93fz2ADQEdVvwHAPncUWwR6YjvCeA+2U2e9SqIZBAcpFdgA2PFXf8A0+a8ei0p7ZGfyGwAa53V3/vB0JUrYXd5fst/jezmTo/M79g9wvh61JbsIdI969LW7f346l5b7qx+2bXe4kSP2MwNn7L/e8upcMKNGchdAR+ELQ+UTdjvIJxaNDLkwu/2aQagtnPPNcaafdmc98+wnANgfaOz7kTzO5sNC+Zbk2j5WlsTC/qRQrsEmzoNNnDWaYGKhrsgTg/w/XHFNLchT82BpSmleIkKGq4kA5LyAXm/vBGTOl4okcQTxqRz6/CKmI0BakLCXT6+elOwNAHE7pELIizL7/EPeFrGHZ7Yxf3nFf51Hfd/xqjuTN1SGjs1qB6w2Rgf2JU1+Q9XnAgeRgj1fsdsB8UPKYChu6u7knRdzEyAAiQzEbu5uL1loOS1mj0dwvGa/d8hvB/s6NPrekD/AiS0CHsxPnUzV9P8BPEgYsE+PrTJG1RMMsPGM41nHZwcBB4oLtv7Fzak+NMRS2v2oFSWW2o6tUfsbAH2oN/6j4rsLdviw1X3GXk+DHOtX5LK8fgZyK4hmEBykVGIDILeI2v6y0m92QN3YfwLAf/OPvS7fj3/sC/ziM/s/9pMA3dcvu5x05/yf3lCn/CO7ZHxrqD97bn74O0rz4wM7StnF4j8W8Oz88cC/OqBDKycRSfxP7H8r9RP7W4Id/7IAe0F73GOpnfn/NqiZ01vpNNPsW1Y37Aou/qEGJVm2Jz8s1LqkMP0TYLUeJIEqi6Z2iYloG2AmEfmSbpWaOdWMqXk3JRlgM1zdWNIqULG83sVxqozme5EkjiCOqoTKYWrCqSUDHJBwLqz/foXvHMsZewMA3w6pi7J9WwR3O9YNlfoGgHYwHvm5k+Gob6gEYHCQd14qM7/f8tx5iVgQUNaNbwfFrHnLpm4H+9s7jb43PJrlY+owrc2PADxIGLRPj60yRtUTDLDxjONZx2cHAQcKuDnVC5Qvpd2XemAQTwc79uDh2QBgf3XCX+zjLfGPY/AvFm/vlcvy9hiJrSiaQXCQUoENgIWuaeFUqZq/2L9cM3z9fX2zL/6z19/XlxSkDdNLQf3/gf98H7x+sflv78xzsG/0s507HrEPDV4uycikoCoze6z0s743AQIqVkzza/EPe/yXezRSAiuSOAOFWpcUJskpom2140dAacy0+TNyY3xVhTPVjPUv47wK8ryrti4juKMqhyojQZwr5AYJR7D0HxeH/jMJ3zUE3w6pi/LRui0ykhi3OYZ2xEFamTdUQmNl0JlNw5A7L+ftIDhO3A4a5VvUmcW1LwN4kDBqnx5bZYyqJxhg4xnHs47PDgIOFHBzyhY4PFaYYdlSm8YxCLwphUnHpgqbrZhoBsFBSgU2AGYrNjUR1Jwagfn9uzN/AtAf6Hl3uN11Z+LB1G/lm7Gh2mOfX1V9EyCGFerNePiSxtDoxDWFWpcUJskpol9TT1YRociUGFiKgdqHSf268irY5mHs4MShqt+bPgPkBgknt/Uf+92FbI09I/xCb4dwkpRR8A1VsGEKCssHle8kyHJodgjgQcJgfXpslTGqnmCAjS/s8fNOLia4OUXJraTTOJD35ga5LG+OkOiCohkEBynRBkAg53ed/Jsy+c2cAW06yvvlWXd+QM//bhenFtojA9pjnWZOwTprzZl6LNfV+X0/DdKY/SnOja6f8L6OhvHxmuTkC0Z6YmCbDKz/MFl/BeVXloMTh6p8Xk9EyA0SNh3oP/YXu909+0uAwQx3VLdDOEiNkeOGyp0m2NDtHqVF5TsJigq3oDGABwnD8emxVcaoeoIEbGmY4I5qbbekgDyBrGSXNJaT023QMbpvQLmUBk+yYLAZuoqW9CZfMeS4XZxaG6o9jklLtsTA6PoZnUTchVsabklOhj+JxMAJMBB9CW+OEzrQhy1xcOJQDf0qaSA3SDjVUP9xcc1+TfTmaziDPU9+tGqCADxIuKM+PbbKGFVPkIAtDVOaVwK84i7LIF8ma3Hy1hQQKJcSbQA0072FfrG6vwGl7Av/WwtV+iAPck9vxaRnThwVei7cEvvRqKF/G0B3k7pCXSl5tnmmlTW4dgh+MS9L/tsc8C+mjF4R8JmB/7NG7J8qlx5iiv7nYmDVBAF4kHCRPj22yhhVT5CArT8/Rnq2WElYCcsgXyZrGCMbtQLKpUQbAE01GtojYdnjpsASmOYZGF0/o5OotHBLwy3JyfAnkRggBoiBrTCw5PkQcoOEeR3qP3a7i6uL59/hDPY8+dGqCQLwIOGO+vTYKmNUPUEGtjjX9VayDPJlssb1dGPWQLmUaAOgqQZDeyQse9wUWALTPAOj62d0EpUWbmm4pW2iGwHaF0+gxPabUArhqpqZATbDtRTVQXFmwVkkSVgQcRINMw3iJ8YITuAgYf+B/mN3cXn9HzMazGBHGq2aIAAPEm6pT4+tMkbVE2Rgi3NdbyXLIF8ma1xPN2YNlEupwAbAQte08MZAzeE+C1naUO3xQrAo7UoZGF0/o5Oo4HBL5Lb5QaO8NH9GbnJhVGpmnWZkgM1wnbVvs+AskiQsiLAKMy3OM6QFCSex9ezz/9sPYWLPYD8arXuHBLoLEu6pT4+tMkbVE2Rgi3NdbyXLIF8ma1xPN2YNlEupwAYAhGyUq+YBAm82VHsMliQRA9MMjK6f0UkUO9wSudUd1HmyisLcJC/0mV1UD7VxpWbWCZsRNcNVc1VQ8B7Gs+AskiQsiLAKMy1IrwwFaUHCSSz9x8XDd29gzWA3Gq38dAvdBQk31afHVhmj6gkG2Pg5x3veGViHKyYrsZLWwhGOWFlOIleGRd+XyVq0hLUFA8qlRBsATXUQ2iNh2eNFwFpnrUUwUNIkBkbXT3hfR8MkASvg1ACoBiC4iGwUlgtqQ7pKrNUJmxE1w7VGt7xwvBMlURRJEhZEWIWZlqxQxIK0IOEkWP/9yv79v/6FZ5SW3jUDqyYIwIOkKxOCT4+tMkbVEwyw8Yw1sk7eUVlJa+EYFDypmEQ+GSHFwKIjJcSJ+0T3DSiXEm0ANLWCoD0Slj0uDhb/ULF7JEG45yQgmhv8DLQghnipyMuO2K3I7vH02C1+chUBp07h0ZfwoKgjtUwBGnGtMeWF450oiaJIkrAgwirMtGSFIhakBQkn8enrPCnh3Csf+albQWEAHiQM26fHVhmj6gkG2HjG+bMOky6GY8DIMopFerBMqZWyRjMIDlKiDYBKnUkLC+2R/vY4LWqmVxMgMms4UfdCrSsUpmwTGgDVAAQXp43CckHdvm6qGVPzbobSvESsDFc3lrQtDBXLC8c7oTxLvBdJ4gji4ERYOUxLlDEVA9KChH18+oWelDC4tkd+6trGLdABeJAwbJ8eW2WMqicYYOMZx7M6jt9BlASFlXQaR0KOFblYdKwIeStQoxkEBynRBkArrRQ4oD0Slj1eBGwTIBapfPVJC7WuUJiydDYAqgEILk4bheWCun3dVDOm5t0MpXmJWBmuxbGwgF443gk3ijRtkSSOID6VQ58GPM4L0oKEI/j0Iw3CAU535KduBZwAeJAwbJ8eW2WMqicYYOMZx7OOzw4ChiqssNM4QgOv086iY51FLIo6mkFwkBJtACzaPzs5tEfO2GPbfpZxEyBmqXRzSQq1LilMpU103aMkUNq7iFC7xESQDTCTiHyDblPNmJp3U5Kx8jJc3VjSKlCxvN7FcaqM5nuRJI4gjqqEymFqwqklAxyQcC6ffupJCUc5yZGfuhXQAeBBwrB9emyVMaqeYICNZxzPOj47CBiqsMJO4wgNvE47i451FrEo6mgGwUFKBTYAFrqmhfMONYf7LGRpQ7XHi8BqAsQila8+aaHWJYVJcopgvHb8CCiNmTZ/Rm6Mr6pwppqx/mWcV0Ged9XWZQR3VOVQZSSIc4XcIOEIPv3UkxKOcpIjP3UroAPAg4Rh+/TYKmNUPcEAG884nnV8dhAwVGGFncYRGniddhYd6yxiUdTRDIKDlApsACxKQEhyqDnEelEbG6o9XgRcEyAWqXz1SQu1LilMklME41NPVhGhyJQYWIqB2odJ/bryKtjmYezgxKGq35s+A+QGCSf36aeelHCUkxz5qVsBHQAeJAzbp8dWGaPqCQbY+Dln/LxTCZOVdBrHAPqmFJVY3hRH48VEMwgOUqINgHGCZ56F9sjE9rg0HOuE5A4fZOR2LaylXz1nF66dePVNoRGtCVoT7IhY7fHAT/HrPorlRapGDYUvHzOGc1y4HarZAEFukHByn542ADBPjpGfOodxayoADxLG6NNjq4xR9QQJ2NIwtXOnHFvyMsjTWI6tbcv20X0DyqVEGwBNLQ9oj4Rlj0uDrR2/MN6VwS1cfUK4UcJGJ1GycEvDLcnJ8CeRGDgBBqIv4c1xQgf6sCUOThyqoV8lDeQGCafy6WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CALQ1TmlcCvOIuyyBfJmtx8tYUECiXEm0ANNU9aI+EZY9Lg60dvzDelcEtXH1CuFHCRidRsnBLwy3JyfAnkRggBlbAwPq3MMqT7OBkyfMh5AYJF+3T0wYA5skx8lPnMG5NBeBBwhh9emyVMaqeIAGb4/gNiNJiJQGwmckyyJfJGsbIRq2AcinRBkBTjYb2SFj2uDTY2vEL410Z3MLVJ4QbJWx0EiULtzTckpwMfxKJAWKAGNgKA0ueDyE3SJhXn36pZwOMrumRn7qmYUtwAB4kDNunx1YZo+oJMrDFua63kmWQL5M1rqcbswbKpUQbAE01GNojYdnj0mBrxy+Md2VwC1efEG6UsNFJlCzc0nBL20Q3ArQvnkCJ7TfhJBFmrLwM1+1RXYSMsCDiJBpmWpxnOIGDhJP49LQBgHlyjPzUOYxbUwF4kDBGnx5bZYyqJ8jAFue63kqWQb5M1riebswaKJdSgQ2Aha5p4Y2BmsN9FrK0odrj0rBqxy+Md2VwC1efEG6UsNFJlCzcErltftAoL82fkTe/MIwC6zQjY+VluBplbUQsQkZYEGEVZlqcXEgLEk7i09MGAObJMfJT5zBuTQXgQcIYfXpslTGqniADW5zreitZBvkyWeN6ujFroFxKBTYAIGSjXDUPEHizodpjsCwj1Y5fBqWOUudmWocXQo1fs14spuivLzuf9M1xKmAu3BL7bX3UKC+i62b/tt6HluvbGcdROZzynwJZ7799UI4JOEstF5NnnnyJo7I/NCeNCxtAWpBwCp+eNgAwT46RnzqHcWsqAA8SxujTY6uMUfUEA2z8PrLGveRkJVbSWjgGBU8qJpFPRkgxWCZrCtLN+ADlUqINgKZaC+2RsOxxabDWCckdPsjI7boq7QbrHF0/4fWOhlmqxw2AagCCi/1GYbmgbl9XpxkZUTNca3RrWTgzZhepZsxnNgvSgmTOjz3m+zyw/wmPVk0QgAcJ99Knx1YZo+oJBth4xhpZJ++orKS1cAwKnlRMIp+MkGJg0ZES4sR9ovsGlEuJNgCaWkHQHgnLHi8CtgkQM1S+wToLlVQoTNkeNgCqAQguThuF5YK6fd1UM6Iv4YKyqagjvGa4jkRNnloWzozZRaoZ85kdgbQgmfNjz0M+D+x/wqNVEwTgQcK99OmxVcaoeoIBNp5x/qzDpIvhGDCyjGKRHixTaqWs0QyCg5RoA6BSZ9LCQnukvz1Oi5rp1QSIzBpC3DdYZ6GSCoUJaUK4TQOgGoDg4qtRWC6o29dNNWNq3s1QmpeIleHqxpK2haFiFYejAge918ru4ESkqpVvolhICxJ28ekXelLC4Noe+alrG7dAB+BBwrB9emyVMaqeYICNZxzP6jh+B1ESFFbSaRwJOVbkYtGxIuStQI1mEBykRBsArbRS4ID2SFj2eBGwTYCYofIN1lmopEJhyvawAVANQHBx2igsF9Tt66aaMTXvZijNS8TKcC2OhQUsDscN0qOtld0RV6gceg+yompICxJO4NMv3SCMssmRn7om4WJQAB4knwXWFxv5EhdLMAjEM45nHZ8dBAxVWGGncYQGXqedRcc6i1gUdTSD4CAl2gBYtH92cmiPnLHHtv0s4yZAzFDpBussVFJSmEqb6HohJIHS3kWE2iUmgmyAmUTkG3SbasbUvJuSjJWX4erGklaBipXnraKkvhcnowfiqEqoauWbqB/ggIRdfPqpJyUc5SRHfupWQAeABwnD9umxVcaoeoIBNp5xPOv47CBgqMIKO40jNPA67Sw61lnEoqijGQQHKRXYAFjomhbOO9Qc7rOQpQ3VHi8CqwkQM1S+wToLlZQUJskpos2140dAacy0+TNyY3xVhTPVjPUv47wK8ryrti4juKMqhyojQZwr5AYJR/Dpp56UcJSTHPmpWwEdAB4kDNunx1YZo+oJBth4xvGs47ODgKEKK+w0jtDA67Sz6FhnEYuijmYQHKRUYANgUQJCkkPNIdaL2thQ7fEi4JoAISqfupnOo6edOvPqMLwLlZQUJsnJwD4l1l0MU9lpnhgowkDtw6QIyNEgeRVs8zB2cOJQjdJachJyg4Tj+/RTT0o4ykmO/NStgA4ADxKG7dNjq4xR9QQDbPycM37eqYTJSjqNYwB9U4pKLG+Ko/FiohkEBynRBsA4wTPPQntkYntcGo51QnKHDzJyuxbW1qWjnTqL0TZKWHi9o2F8YJOcfMFITwxsk4H1Hybrr6D8ynJw4lCVz+uJCLlBwqY+PW0AYJ4cIz91DuPWVAAeJIzRp8dWGaPqCRKwpWEKv6NKgFTVZRnkaSxXJWJlwaP7BpRLiTYAmuo4tEfCsselwdaOXxjvyuAWrj4h3Chho5MoWbil4ZbkZPiTSAycAAPRl/DmOKEDfdgSBycO1dCvkgZyg4RT+fS0AYB5coz81DmMW1MBeJAwRp8eW2WMqidIwJaGKc0rAV5xl2WQL5O1OHlrCgiUS4k2AJrqHrRHwrLHpcHWjl8Y78rgFq4+IdwoYaOTKFm4peGW5GT4k0gMEAMrYGD9WxjlSXZwsuT5EHKDhIv26WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CAzXH8BkRpsZIA2MxkGeTLZA1jZKNWQLmUaAOgqUZDeyQse1wabO34hfGuDG7h6hPCjRI2OomShVsabklOhj+JxAAxQAxshYElz4eQGyTMq0+/1LMBRtf0yE9d07AlOAAPEobt02OrjFH1BBnY4lzXW8kyyJfJGtfTjVkD5VKiDYCmGgztkbDscWmwteMXxrsyuIWrTwg3StjoJEoWbmm4pW2iGwHaF0+gxPabcJIIM1Zehuv2qJ6RDHESnTGf2Sw4gYNkzo895vs8sP8Jj1ZNEIAHCffSp8dWGaPqCTKwxbmmVfK8E6/+1HBKo91xC9XGrZGFrWGJSqnABsBC17RwIqHmcJ+FLG2o9rg0rNrxC+NdGdzC1SeEGyVsdBIlC7dEbpsfNMpL82fkzS8Mo8A6zchYeRmuRlkbEWckQ6SaMZ/ZIUgLkjlPGwCYjaiRj9KoIEsZA3iQMBafHltljKonyMAW57reSpZBvkzWuJ5uzBool1KBDQAI2ShXzQME3myo9hgsy0i145dBqaPUuZnW4bcnjPZ3dBJxEW6J3OoOGlgMTfIydjNftyMU3cFAnTWSETXD1VFetmrZw3hGMkSqGfOZnYG0IJnzY+cMnwf2P+HRqgkC8CDhXvr02CpjVD3BABs/59Q470xWYiW1hgOc8ykmkVeBskzWsqW008OguoByKdEGQBBtcxlBe2RGe1waR9DqDTIqjWyBeBusc3T9hNc7GmaBTomUDYBqAIKL/UZhuaBuX1enGRlRM1xrdGtZODNmF6lmzGc2C9KCZM7TBgBmI2rkozQqyFLGAB4kjMWnx1YZo+oJBth4xhpZJ++orKTWcIBzPsUk8ipQ2qk/vbxla4juG8CVEm0ApLe+gie0Rwa3xxVSTodsAsQ0zGyLDdZZqKRCYbI7hAI0AKoBCIiSftAoLBfU7eummhF9CReUTUUd4TXDdSRq8tSycGbMLlLNmM/sCKQFyZwfex7yeWD/Ex6tmiAADxLupU+PrTJG1RMMsPGM82cdJl0Ew4CN5RRbqH/ZGqKzg4OUaANgueXvyAztkZP22OFSX9UEiPplLnNJqFtXodYVClO21gZANQDBxWmjsFxQt6+basbUvJuhNC8RK8PVjSVtC0PFKg5HBQ56r5XdwYlIVSvfRLGQFiTs4tMv9KSEwbU98lPXNm6BDsCDhGH79NgqY1Q9wQAbzzie1XH8DqIkKKyk1jAh4LpdtlD/sjVEZwcHKdEGQFOHELRHwrLHi4BtAsQMlW+wzkIlFQpTtocNgGoAgovTRmG5oG5fN9WMqXk3Q2leIlaGa3EsLGBxOG6QHm2t7I64QuXQe5AVVUNakHACn37pBmGUTY781DUJF4MC8CD5LLC+2MiXuFiCQSCecTzr+OwgoKHYwu/an3YNRjMDxPSVEhB80iQ6OzhIiTYAJjme0wDaI7Pa4zmx6FxNgNBo6gkbrLNQSUlhKm2i6/4ngdLeRYTaJSaCbICZROQbdJtqxtS8m5KMlZfh6saSVoGKleetoqS+FyejB+KoSqhq5ZuoH+CAhF18+qknJRzlJEd+6lZAB4AHCcP26bFVxqh6ggE2nnE86/jsIGCowgprDUOjbMauyfojQUWaF+5ddHZwkFKBDYCFrmnhTELN4T4LWdpQ7fEisJoAMUPlG6yzUElJYZKcItpcO34ElMZMmz8jN8ZXVThTzVj/Ms6rIM+7ausygjuqcqgyEsS5Qm6QcASffupJCUc5yZGfuhXQAeBBwrB9emyVMaqeYICNZxzPOj47CBiqsMJaw9Aom7Frsv5IUJHmhXsXnR0cpFRgA6BwSeXDQc3lYxeOaEO1x4XThYVrAoSAOnUzHVaPz6qdOn0Io/WFSkoKk+QUUWHdxRABhEyJgXQGah8m6chCPfMq2OZh7ODEoQplONsOcoOEg/r0U09KOMpJjvzUrYAOAA8Shu3TY6uMUfUEA2z8nDN+3qmEyUpqDQc4t66oxHIebZGglu1hJFjzbC5daQMgb7UU9rb7aY8Lp5s4C/bZll3iZsl16WinTrPmLHmUsPB6R8P4ACY5+YKRnhjYJgPrP0zWX0H5leXgxKEqn9cTEXKDhE19evOWEXvQqGfAT90KKALwIGHYPj22yhhVT5CArUVMCWUEu4TfCwaHDDBskuUmQfnIjO4bVCcl2gDwUbuIHtoj09vj0qBqxy+Md2VwC1efEG6UsNFJlCzc0nBLcjL8SSQGToCB6Et4c5zQgT5siYMTh2roV0kDuUHCqXx62gDAPDlGfuocxq2pADxIGKNPj60yRtUTJGBrEVNCGcEuy9S7TNYJUpoENYE5fBqqkxJtAIRzN4MltEcms8elIdSOXxjvyuAWrj4h3Chho5MoWbil4ZbkZPiTSAwQAytgYP1bGOVJdnCy5PkQcoOEi/bpaQMA8+QY+alzGLemAvAgYYw+PbbKGFVP4MXm/7X756N/jv35wE68+oN8CyNZ0G5DFeGueJfAcMJx6h4arVYDB5uUaAOgqVZCeyQse1wabO34hfGuDG7h6hPCjRI2OomShVsabklOhj+JxAAxQAxshYElz4eQGyTMq09PGwCYJ8fIT53DuDUVgAcJY/TpsVXGqHqCDGyn4rpMD5bJeio9ddYJlEuJNgCcNC2lhPZIBPa4NK7a8QvjXRncwtUnhBslbHQSJQu3NNy2vZMqCj2BEo2GktgOAxkrL8O1nfpLIZmRDHESnTGfSRGcwEEy58ce830e2P+ER6smCMCDhHvp02OrjFH1BBnYTsV1mR4sk/VUeuqsEyiXUoENgIWuac7ynEqo2TndktKGao9LY60dvzDelcEtXH1CuFHCRidRsnBL5Lb5QaO8NH9G3vzCMAqs04yMlZfhapS1EXFGMkSqGfOZHYK0IJnztAGA2Yga+SiNCrKUMYAHCWPx6bFVxqh6ggxsp+K6TA+WyXoqPXXWCZRLqcAGAIR0Zlxe2TxAoMiGao/BsoxUO34ZlDpKnZtpHX57wmh/RycRF+GWyK3uoIHF0CQvYzfzdTtC0R0M1FkjGVEzXB3lZauWPYxnJEOkmjGf2RlIC5I5P3bO8Hlg/xMerZogAA8S7qVPj60yRtUTDLAtds6xElvDAc75FPP3gNeWmfX5vyCCxll++jce5OXVmreyjke3fNWQx7DiqCn27p8xjBJFoFxKtAGQSGQdN2iPjG+PS2cNWr1BRqWRLRBvg3WOrp/wekfDLNApkbIBUA1AcLHfKCwX1O3r6jQjI2qGa41uLQtnxuwi1Yz5zGZBWpDM+bF7cZ8H9j/h0aoJAvAg4V769NgqY1Q9wQDb/Bl7CFZiazjAOZ8i/F6wJKbM+m8fgsCMZ7meCHJ7ZyXhWe+Br/Holq8a3twfj/w/+yXjBtbFnQGHHcozBrhSog0AD1HLqKE9Mr89XgRVEyBmqHyDdRYqqVCYsj1sAFQDEFycNgrLBXX7uqlmRF/CBWVTUUd4zXAdiZo8tSycGbOLVDPmMzsCaUEy52kDALMRNfJRGhVkKWMADxLG4tNjq4xR9QQDbIv9hj8r1fx1+h0a4TkasS71F0eTM87LoKGjinHz6A0Anst4eB+P7gHm2wAw4no8LXV0dnCQEm0AWIwuO4T2SBz2eBF0TYCYofIN1lmopEJhyvawAVANQHBx2igsF9Tt66aaMTXvZijNS8TKcHVjSdvCULGKw1GBg95rZXdwIlLVyjdRLKQFCbv49GNbAzjCyY781K2AEgAPEobt02OryNH366/2qJJAR08THMdvWiDsZZVqDbHtCYyi6v+4vbx6EKtmd31x+83oeX51c/R2c3n4ZFNP/71cXr2yPzT4Yq53P8zh8uo/+yv91w/C6HhU8Z+f/nu9Ym48AbMffAOAZX3Z7Q8HFo8nYjWwPFdXb8z6+t0NiFteXL+wyVcJXW8AKKjSoI8r6uotAYwzdBSDPAI4SIk2AJy8LqWE9kgE9ngRXE2AmKHyDdZZqKRCYcr2sAFQDUBwcdooLBfU7eummjE172YozUvEynAtjoUFLA7HDdKjrZXdEVeoHHoPsqJqSAsSTuDTL90gjLLJkZ+6JuFiUAAeJJ8F1ueNPvaHrz6CL3FegjzvSpissNYwD/IKvaPqf35+f7u6YlW+7J7fbs7ZVoDn8/LXs+f3xzO2uq53h7fn7r/d8fz+/e3x+/h4/vp2s7O+0t8bsaf9Pv7uenf79tSxZ/nns5e3a9ueZ/28vPn37+8oEu2+WJ7bt4fu7u7t/gy2tVA7XrvH9//Ynw68nEnoagNAQ5UGfVw+qyw1GBRPD6IY5F7gICXaANBctiBAeyQae7wIxiZAzFD5BussVFJSmEqb6HohJIHS3kWE2iUmgmyAmUTkG3SbasbUvJuSjJWX4erGklaBipXnraKkvhcnowfiqEqoauWbqB/ggIRdfHrzlhF70KhnwE/dCigC8CBh2D49tooefex27FNT/qqUIBqR6VAJkxXWGpoATkKOrv+3Y8/159xt9+jdADjnH7Xf3bINgD0THi523x37tJ69zl6Px79zewNAGgmDI4+/u75kg2v2EM4D/Z1Z9mLbQW49iES726Nw2PG9iXPPzxKeP8n45/z8z6CrDQANtTeQcfn/laUGIwPY/49mEBykVGADYKFrmk2Ffww1+20ambGh2uNFYDYBYobKN1hnoZKSwiQ5RbS5dvwIKI2ZNn9GboyvqnCmmrH+ZZxXQZ531dZlBHdU5VBlJIhzhdwg4Qg+fZvPZxj7wiM/dQsDC0kP4EHCfj49toofsR2A3QV/VquVIB4SeFTCZIW1hpD+RKSo+n8fry8uurfjd8fd7m58GwBf3f3jI7NlD/H82f2dmV/sH9gH+l8d/7uBG+uBvjf6O6r4O/7sf7w/sETcXsyzd/1SD+8sHk+0uxCbBccr/mOCF+6r/Rfft2Cvb/HOoPcxNFRloDcAtKUCI/yH/4tikLuDg5QKbAAMUTWmgZobAzaEY0O1x0OPGTRNgBB1ug+vUhS0U2epiozDPStkEjNJThEw6y6GCCBkSgykM1D7MElHFuqZV8E2D2MHJw5VKMPZdpAbJBzUpzdvGbEHjXoG/NStgCIADxKG7dNjq4TRx57/GN/Db7UECZiUSyVM1snOGqrkJ/MexfLlzfvXV/ePPXdzt/tr3wbAZ/fwxF5sa0k8PH90T8e/18PZ/tuzAcAf9z+636OKvxM/C3h/wxL9sKmDtWGgHt6PR5no8HIUDlePzNizAfApthLUFgSD3m8AaKjKQG8ASKzMUoFhwV2vKAZ5AHCQEm0AuGhdTAftkRDscWlgQWegIKPSyJzx6tLRTp3O4lOUI4TZv6zKL8a+X11NmttVz0C/oVu2Y8TnAnzKQ5SOlaLnnhZXcn8ubrTTDJ0HmcDtmRPXJJpb8dqFvs+2Pl/F7cTu6XjLhJvdvk+ccn9TzadFTNWKZYGXufeNYfmHP0R/sw2Av44/kl+x/8nHZZuWX2YjX9dsk4D9ob4Y/F08/IkJ+2/6lZGOrzcA/tjXDY7HvXcDQCea3ABQljIig95vACg9+9MDiVlvAGjLiQ2A6L4B5VKiDQC5Vhr5P7RHArLHpWHWjl8Y78rgFq4+IdwoYaOTKFm4peGW5GT4k0gMnAAD0Zfw5jihA33YEgcnDtXQr5IGcoOEU/n05mdG2INGPQN+6lZAEYAHCcP26bFVwuhht787XDyf0jcAEliax6Vak0fhx2T9616Of9f8Qfn24uf4X8d+5t+9AXC83bMv3H+x7/xz65/9w/GHyb/75+Pd/uPn3v6bfmWk4+sNgOPh8vf4IrYbzCp41vur3z8GpE80uQEgLT8Aer8BoCMoAxmXz6oiJzYATGBBMlAuJdoACKJtLiNoj8xoj0vjqB2/MN6VwS1cfUK4UcJGJ1GycEvDLcnJ8CeRGCAGVsDA+rcwypPs4GTJ8yHkBgkX7dPTBgDmyTHyU+cwbk0F4EHCGH16bBU/etjdXF3zH02rlSAeEng4jl+Y3KC0TA+isr50u7PnM7YB8HvVnZ/xBnk2AP7u2Pz5K//z/cvz7vrv+HXe7brD3/Hv9uz84cD/Vt94KSP2qC/jP+tn7p/L7vza+ScA31dn7M/5VaLpDYC/Q3fesV8tUNDVBoCKcOwNZFw+qyw1GANyjgiUS4k2AHLYLO4L7ZGh7XHphLXjF8a7MriFq08IN0rY6CRKFm5puCU5Gf4kEgPEADGwFQaWPB9CbpAwrz59m89nGPvCIz91CwMLSQ/gQcJ+Pj22ih697Ha37DNR9qqUIBrRKTss04O4rH9f7FN38frRkrtnf18/fII9PH/z3/E7Hn++fsU7+9+e/+4kfvVGEF9P9zN6bAt9IlvtGP9KSAyJKkIa6QjKQPvalnoiSwDKpUQbAFl0lnaG9sjI9rh2vtLxC8erTUdhuMuHGyVsdBJhD7c03E5gE/0ESjQaSmI7DGSsvAzXduovhWRGMsRJdMZ8JkVwAgfJnB97CvN5YP8THq2aIAAPEu6lT4+tYkcfFw/y2Wxs6cUGJftUBuo0eQpN5azi03MDw+fr1+ftOX4AN6ZPQgTKpVRgA2Cha1p4u6DmcJ+FLG2o9rg0rNrxC+NdGdzC1SeEGyVsdBIlC7dEbpsfNMpL82fkzS8Mo8A6zchYeRmuRlkbEWckQ6SaMZ/ZIUgLkjk/9hTm88D+JzxaNUEAHiTcS58eW0WOvl/1R7L0DYBI7mqYV2nyJNDKWQ9PGMHX9X5/UNtOeOpkRkC5lApsAEDIRllsHiDwZkO1x2BZRqodvwxKHaXOzbQOvz1htL+jk4iLcEvkVnfQwGJokpexm/m6HaHoDgbqrJGMqBmujvKyVcsexjOSIVLNmM/sDKQFyZwfO2f4PLD/CY9WTRCABwn30qfHVhmj6gkysBV2tU521rBwsphwy/QgPis8voM0UqcwEiyHm4tw4ebh0W2c5iaYPVdtDJRLiTYAqlGdEhjaI73tcUrMMZ+gM1CQ0ViWlcxtsM7R9RNe72iYpbrbAKgGILjYbxSWC+r2dXWakRE1w7VGt5aFM2N2kWrGfGazIC1I5jxtAGA2okY+SqOCLGUM4EHCWHx6bJUxqp4gA1thV6tUa1g4WUy48HvBmKhTtvH1v/KfjeBgP16ngvN5Yc6zRJhzvwjz8Og8MHp9XByCqkBOeBDdNw5XvqREGwCKjybeoT1mkxaGZoNaGE619Buss1BJhcKU7VwDoBqA4OK0UVguqNvXTTUj+hIuKJuKOsJrhutI1OSpZeHMmF2kmjGf2RFIC5I5TxsAmI2okY/SqCBLGQN4kDAWnx5bZYyqJ8jAVtjVKtUaFk7Wfrj4+n8v2A4Ac/u4gD8hGakzxZyFqxN9iPNjv9s/Zv0mQTSD4CAl2gAYtmVBDbRHgrDHi0BrAsQMlW+wzkIlFQpTtocNgGoAgovTRmG5oG5fN9WMqXk3Q2leIlaGqxtL2haGilUcjgoc9F4ru4MTkapWvoliIS1I2MWnH9sawBFOduSnbgWUAHiQMGyfHltljKonSMDmOH4TogxcrFKt4cB864qE+m/2H2wD4H33EMaNNP8INT+w6M/HYPNIMEPIH/sr9o9hiH+yYDgZoolmEBykRBsAITTPZgPtkSnt8WxAzERNgDABVZI3WGehkgqFKdu3BkA1AMHFaaOwXFC3r5tqxtS8m6E0LxErw7U4FhawOBw3SI+2VnZHXKFy6D3IiqohLUg4gU+/dIMwyiZHfuqahItBAXiQfBZYX2zkS1wsQUKgSpissNYwAee6XRLqf9/tP3bvu13QH+kfj2/c/CPY/F+cuYgeDsbRrI+Lu91udy3/PUzH/JQqmkFwkBJtAExRPOs8tEemtcezglHJmgChwFR832CdhUpKClNpE10vgCRQ2ruIULvERJANMJOIfINuU82YmndTkrHyMlzdWNIqULHyvFWU1PfiZPRAHFUJVa18E/UDHJCwi09PGwCYJ8fIT53DuDUVgAcJY/TpsVXGqHqCBGyVMFlhrWECzoIuz+xJlL36M1Szo4t9LM7L3cUt4ymoov3lxWEXniHc0pf9RYTYfyY2MnoFgYOUCmwALHRNC2cMag73WcjShmqPF4HVBIgZKt9gnYVKSgqT5BTR5trxI6A0Ztr8GbkxvqrCmWrG+pdxXgV53lVblxHcUZVDlZEgzhVyg4Qj+PS0AYB5coz81DmMW1MBeJAwRp8eW2WMqidIwFYJkxXWGibgXLdLSv0vO/at+cvgj8yfd9cx5k+7mxjzyOjDbvFfAbi6eA76QYOhd8LJGSiXUoENABeupnRQc1OwXGBsqPbY5VNd1wQIUeXUzXQeFe3UmVeH4V2opKQwSU4G9imx7mKYyk7zxEARBmofJkVAjgbJq2Cbh7GDE4dqlNaSk5AbJBzfp0+4x8SBtz/yU7eC2gE8SBi2T4+tMkbVEyRgq4TJOtlZwwSc63ZJYpl9AeDyOrxuZn7RjLkN+2O3v7z+z9ZGjKMZBAcp0QZABNv1TaE9Mpc9Lo0g6AwUZFQamTNeXTraqdNZfIpylLDwekfD+HAlOfmCkZ4Y2CYD6z9M1l9B+ZXl4MShKp/XExFyg4RNfXraAMA8OUZ+6hzGrakAPEgYo0+PrTJG1RMkYGsRU0IZjbsksXzP/mY+4pmZmV9FmLM/yY8xj4xu9YP9OMFt8HcZLF85DL+H792BcinRBoCT16WU0B6JwB6XxlU7fmG8K4NbuPqEcKOEjU6iZOGWhluSk+FPIjFwAgxEX8Kb44QO9GFLHJw4VEO/ShrIDRJO5dPTBgDmyTHyU+cwbk0F4EHCGH16bJUxqp4gAVuLmBLKaNwlieW/3f4ioq7flswx7o+Lh8DfMsR+OSOgXEq0AZDDZnFfaI8MbY9LJ6wdvzDelcEtXH1CuFHCRidRsnBLwy3JyfAnkRggBlbAwPq3MMqT7OBkyfMh5AYJF+3T0wYA5skx8lPnMG5NBeBBwhh9emyVMaqeIAGb4/hNiEIu4wykdf6gfqhwPLiavWnJXIHi79+vyX/6b4aJk4FyKdEGQBx/la2hPTKRPS6dvnb8wnhXBrdw9QnhRgkbnUTJwi0NtyQnw5/ElTDw92G+/pJQl4hhJi4dz4xNMjGQwMCS50PIDRIuwaenDQDMk2Pkp85h3JoKwIOEMfr02CpjVD1BBjZyrclAbOflVf3f/k3ccEzeaUjz/9owd/M4+30KUC4l2gBwN2YhLbRHArDHpWHVjl8Y78rgFq4+IdwoYaOTKFm4peF2ApvoJ1Ci0VCfyP6SzXil/U1biRgmvtLxzNgtyBkrL8O1hcrLYpiRDHESnTGfSRScwEEy58ce830e2P+ER6smCMCDhHvp02OrjFH1BBnYyLUmA7Gdj7yqN2Xu5jESojtIjBYol1KBDYCFrmnhVUPN4T4LWdpQ7XFpWLXjF8a7MriFq08IN0rY6CRKFm6J3DY/aJSXmc/IH7uXd/V62aVuAOTHMJdbCUxmvHS5TjMyVl6GazoLrXrOSIZINWM+k3JIC5I5TxsAmI2okY/SqCBLGQN4kDAWnx5bZYyqJ8jARq41GYjtfORVvSlzN4+REN1BYrRAuZQKbABAyBggM9o2DxC4sKHaY7AsI9WOXwaljlLnZlqH354w2t/RScRFuCVyqztoYDE0ycvYzXyVjnzs3v/U6z15AyA/hllcCUxmvHS5zhrJiJrhms6C33PZw3hGMkSqGfOZlENakMz5sXOGzwP7n/Bo1QQBeJBwL316bJUxqp4gA1thV+tkZw0LJ2s/XGznI6/qTZm7uxEJ0R0kRguUS4k2AGLYq24L7ZGp7HFpAEFnoCCj0sgWiLfBOkfXT3i9o2EW6JRI2QCoBiC42J8ZVomLWIkYJhWl45mx4+Q6zciImuEaV3mY9bJwZswuUs2Yz6Qf0oJkztMGAGYjauSjNCrIUsYAHiSMxafHVhmj6gkysBV2tUq1hoWTtR8utv7Iq3pT5u5uREIcBAm/h+9dgXIp0QbAgNMlFdAeicIeL4KtCRAzVL7BOguVdDn7v1YS0O5CtQVk8po0AMGFbWZYuRcxXkKJGCYVpeOZsePkqWZEX8JF+qmoIxgzXEeiJk8tC2e+7N+XnKL58qGGQFqQkMEIMJ8H9j/h0aoJAvAg4V769NgqY1Q9QQa2wq5WqdawcLL2w8XWH3lVb8rc3Y1IiIMgsQwa53npShsAA06XVNj9tMeLYGsCxAyVb7DOQiU93U/+4uoM/bFSFKrNiho1bACCC+/MsHIvYryE3BifFg+58axwGcOpZkzNu1OneYlYGa5uLGlbGCpWcTgqcNB7rewDTv7unzigWvkmioW0IGEXn34xyBheyyM/dS2j7rEBeJAwbJ8eW2WMqidIwDY4fhNiOFysUq2hw2Hbqtj6I6/qTZm7OxkJcRAklkHjAiRdaQNgwOmSCruf9ngRbE2AmKHyDdZZqqT7vfE77yQSA5gB8+/38Uz4qEQMM1vpeGZskomBWAbuxBWs1Ak58nIIaUHCIXx62gDAPDlGfuocxq2pADxIGKNPj60yRtUTJGCrhMkKaw0TcK7bJaj+z2vjVBt5VW/K3CjDEN0Qr+1PNDyNDmLQ9AUHKdEGgMnO4jK0R0Kxx4sAbALEDJVvsM4lS6q0ia4XwpK19SBql6hrjRNmZiZ3F5sXlxnjcfeIKcqMh4NljaaaMTXvTp6x8jJc3VjSKlCx8rxVlNT34mT0QHxV1co3UT/AAQm7+PS0AYB5coz81DmMW1MBeJAwRp8eW2WMqidIwFYJkxXWGibgXLdLUP3Xb7rIyKt6U+a6CCT4IL5dIzPvIIhB0xscpFRgA2Cha5pZ1bgMNY/bNTBrQ7XHi0BsAsQMlW+wziVLqp27dvwZVlylFDOfkX0XsZjqMmPsd3ucLTMeDpY1mmrG+pdxXgV53lmtqejcWFUAByRcvU9PGwCYJ8fIT53DuDUVgAcJY/TpsVXGqHqCBGyVMFlhrWECznW7BNVvGEVe1Zsyd3fKC9Go2u0ptYFmEAIcpFRgAwCCNypBzY0CBFg2VHsMljNKTYAQ9U7dTOeR0k6deXUY3kuWVDt33cVgkEjiOAPei9i4G5rNi/HKvlL3WjAeClV5UPswqQyfhc+rYJuHcR4nxXsGcEDCSXz63PbiLJsc+albQbkAHiQM26fHVhmj6gkSsFXCZJ3srGECznW7BLFsGEXeJTRl7u6UF6JRtdtTagPNIAQ4SIk2AICbBiRoT2J/I2sIOgMFGUUmTjO36UmL4vNqp04fwmj9KGGV6x3NHV0JOTTLgPciFoE4L8YF2wC4QNny4qFQlQfrP0zWX0H5FjfGCcABCRft09MGAObJMfJT5zBuTQXgQcIYfXpslTGqniABW4uYEspo3CWIZcMo8qrelLm7FV6IRtVuT6mNvoeHuFKiDYAxemefg/bI1Pa4NKDa8QvjXRncwtUnhBslbHQyIZnlUjm8lY2GizHwsXt5V6+X3UcSjj6GCBQd43233+9372biEpjMePXk6Et4PSiJkelAHxLXGCcAByQM2qenDQDMk2Pkp85h3JoKwIOEMfr02CpjVD1BArYWMSWU0bhLEMuGUeRVvSlzdyswxP63AbmpUbXbM1ELcaVEGwCJRNZxg/bI+Pa4dNba8QvjXRncwtUnhBslbHQyIZnlUjm8lY2GizHw0V+35FvqBoAZJDLG9e7icLFDP5tTAtNihK4s8fq3MMoT3hgncC4GCRft09e7FcX5VzzyU7eCogA8SBi2T4+tMkbVEyRga+z4TahgDS5BnTeMIq/qTZm7++GCKAo2qnZ7JmohrpRoAyCRyDpu0B4Z3x6Xzlo7fmG8K4NbuPqEcKOEjU4mJLNcKoe3stFwMQb+PszXXxIOGeNm9yBCxcX43u0/dh/73beRuQQmIxyJxMCaGYBzMUi4Hp+eNgAwT46RnzqHcWsqAA8SxujTY6uMUfUEGdjItSYDQZ03jCKv6k2Zu3lkEMUnH/IOSt73iIKNqt2eiVqIKyXaAEgkso4btEfGt8els9aOXxjvyuAWrj4h3Chho5MJySyXE9hEP4ESraYmDV9ew9xedhfoL/mf/wvyu9t/sG/Mfezlv7RuuTz9sxRiyBEFRne5L6/LWHkZrsvXXRrB3GTMna/nC071IGEqfXraAMA8OUZ+6hzGrakAPEgYo0+PrTJG1RNkYCPXmgwEdT7IqCbKyrF37OYF1SgGSFMQAcSVUoENgIWuaeGkQM3hPgtZ2lDtcWlYteMXxrsyuIWrTwg3StjoZEKy03NplMH5zsjfr78BXb91PpoPHS93u2vzmf/2YWgz1PxefNw/s058XLiwXDtjcERh0Yf5IjV1mpGx8jJcI0tfgfncZMydr28BpAUJd8enpw0AzJNj5KfOYdyaCsCDhDH69NgqY1Q9QQY2cq3JQFDng4xqoqwcW3wDwMwhCq5VNcSVUoENAAhpVtGQ3DxA4MqGao/BsoxUO34ZlDpKnZtpHX57wmh/Ryfb56KBxdAogzPC+rg4mI/s7lUTugHALoVX6C/53eEs7evH8eael/zxas3woX8DwGFcQ1WnGRlRM1xr8LPsYTw3GXPn6zsGaUHCzfTpaQMA8+QY+alzGLemAvAgYYw+PbbKGFVPkIGtsKt1srOGhZO1Hy6o80FG7dc6gtCqUAwt3Yh33BTElRJtAMTxV9ka2iMT2ePS6YPOQEFGpZEtEG+DdY6un5XXO1rbPMunAQiuQivCeru5uH45Hp/+e7liH6K/Xl/c7Hf7m/9eLq9eGRKmlsLx7eby8MmxPV9e/effAHj67/VKeHK7u91+x/6c//jL9xT+PTJfHtN6fbK0yuDj9vLq4ff7+MIcDz8Mjkzag5OO1w8KEgN7y38mQCES0RXOLxbqjoUo/6rTjIyoGa7l2Vn6+XJuMubO13cM0oKEm+nTL90gjLLJkZ+6JuFiUAAeJJ8F1hcb+RIXS9BOIKtUa9gOzpmQBNUfZDQT4Bppsr4BEH0PD2xKiTYAavQ0OSa0R4awx8mBcxybAJFTQKDvBuvcYEm6mQ3U1gAETYch1IP12j2+/8e+VH+9u/n3dnw5e367Od9f7XYX/z137Kn9end4E8Lr2fP749kXe9o+e3m73rGHdvfrenf79tSxf8CP27Er4WF3fnP8110djzcsy8390Oun+9YGz8/vb1fM9vPyZvfv76iSSnC9q4Ykwf4CIh5duRzP79/fHs1fERxmTtRMNSP6Ei5wTEUdAZvhOhI1eWpZOHNnnztf3xZICxLumE9PGwCYJ8fIT53DuDUVgAcJY/TpsVXGqHqCDGyFXa1SrWHhZO2HC6o/yKj9Wr0Is34DIJoccJASbQB4G7PEBLRHZrfHS2DCv1CxCIJ5kjZBdtlSN1iSJqiB2hqAoOkwhHqwzp9kmmvxY33n/OF1d3fBPrjfXd8x1fWeKR6YcM6+JXC8u5XC35l/A+CS2V2zJ3Hm8M6f/9kuwPf9Xfd3PHtzbwAc9y9HbcCcfzu2zXBzz5GopBIcU/AXQBJgH4WVQMQ3AJTLd1fl038OYKoZU/M8xvCV5iXiZLgOcXBN2haGilUcjgoc9F4ru4+TWvkmioW0IGEXn356AeM4JzjyU7cCMgA8SBi2T4+tMkbVEyRg8x2/CaFMF6tUa2hanoQcVH+Q0YrpyvoGQDQ54CAl2gBoaulAeyQse7wI2CZAzFB5wTqfxVG96y8jy414Sctl5z3bdHZGb4v1yYVcAdnXWb+u+TP78bsfHYRyz57ar/mT/nv399XdPz4+sgfxb/Z5PXsI928A8Dj3B2F3s2d/BHA87B7275dvHyya8xsA3FoZ/LIUF53aKdBJBTgWV7wUpG++UXC8uwFEbANAuxwv9g/sewg1XlNnlal5N6Y0LxErw7U4FhawOBw3SI+2VnZfXJ/eA6+UGtKChGP79Es3CKNscuSnrkm4GBSAB8lngfXFRr7ExRIkBKqEyQprDRNwrtslqP4go1XzYFUohpbOV1+gGbiDg5RoAwC4aUCC9kgw9ngRiE2AmKHyInVW2jpOLL9ISYm5azOxZG09JbVLTGS+GjOf4nmeoRI/rfclRvfst/t3VxfP792v+Cz/+NH9fnYPT+z1wp6w+SfrB/8GAP+N/vsbbsd+zP/ANgD+nV+c/T3cP7Fv9rs3AP6d/yiDy5v3r6+O/Tt/4m8FdFL0u39iN4BB6sFeAyLmpF2Of6+Hs/0ifwKQ1qyMlZfhynrieKVVoALleasoqe/FyeiB+KqqlW+ifoADEnbx6WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CArRImK6w1TMC5bpeg+oOMCvHwOtM/DYThyk9V4P98NrDqQDPIBw5SKrABsNA1DWqakqDmKcvF522o9ngRgE2AmKHyInUWCVKs2CXR1M5dO36xJsweqNoZ+Zc/bfOXeMb+4x++Hy/ZL/Dt2d//v54xNf8NfyZoO2myn9wAYHbsx/z3bAPgtztcHt8vrh9ZJPFcz97R67e7v5YG/OcA2HcH1AaAToo3AHpIEsnVHSBi0bULz/B3wXcjir+mmrH+ZZxXQZ538XYVCthYVQAHJFypTx98K4rDndLIT90KWADwIGHYPj22yhhVT5CArRImK6w1TMC5bpeg+oOMCvFw1/E/YmzhFVh1oBlUBA5SKrABAMEblaDmRgECLBuqPQbLGaUmQIh6p26m80gpUmeRIHl1GN5Loqmdu+5iMEgkUTNwu2dfpP/oNwCOtxc/x6fz3e0lewj/2bPH52slCLsv9qX6w+Xv8aWb3ABgdp/cjq2Zy+7h+Nd1LIl7A4AZPEmDv+7l+MdTHu+vftlfDKikeANAQ2Jg/+s+ARHfXlAuPwzq736RFVX7MNG9qybkVbAI6dW4UIHzOFFRir0DHJBwcJ+eNgAwT46RnzqHcWsqAA8SxujTY6uMUfUECdgqYbJOdtYwAee6XYJYDjIqxANtAIR+9aAQ4bOEmXMFZRZkQ7XHmeEH7kFnoCCjQegairp0FKmzLsRYUkfRFKnXj2g0t9+NZhpm4O/QnXc3agPg96o7P7/+Zn/jf3neXbNHcC383XXnZ+evx+PPZXd+Pf0nAMqOrZkH9pB+vDrjJDi/AWAYvHS7s+cztgHwfXXG/sRfJcUbAAobB3vGlrxGxKMrl6/zbtcdWAXzv9Z/mKy/gvJdb4wTgAMSLtqnpw0AzJNj5KfOYdyaCsCDhDH69NgqY1Q9QQK2FjEllNG4SxDLQUaRhT4c2D9OdPnEvd4OF5f3/I//ni6v/skNAKa6evw1Qr7fXl7efh2Z178rdvejXYRChjGsi4iBVUffw0NcKdE3AIq0q1QQaI+MaI9L5VFxasdXeQq9rwBuWxBH0YxO5nescvh8gBQhgYHfL/5X/er18chH7In7W/z9vBbYo7WykzPKwf8u7CKvZ39f+JldJ0VpFIKf3lqNhZFy+fkyr/jIv+4gsuS6YJKi04E+pK0xTgAOSBi0T08bAJgnx8hPncO4NRWABwlj9OmxVcaoeoIEbC1iSiijcZcgloOMIgu9YPv97MWuvU9dd9Z151/He67Y8T8BYKr9ebeH+4FnNnPG/pnji27PpsCFKUQY9klC8VeNqjlIiCsl2gAo3rqcgNAeGcUe58R2+daO78qZoVsB3LYgjqIZnczoUu9aOXw+QIpQiAH9kbsWCgUOD7P+x+jwWluzJO6HHWmMEzgXg4RB+/TmLSP2oFHPgJ+6FVAE4EHCsH16bJUxqp4gAVtjx29CBWtwCep8kFFktRdd9/570V0df7qO/RtE7FuNQvg6Y8/3THo6/p53jyomU1z9Hr++2PN+9/j1rl2OTHH2ebztavwbwjWq5gVBXCnRBoBqcxPv0B4Jxx6XBlk7fmG8K4DbFsRRNKOT+Z2rHD4fIEUoxMBBfJeOBdNCocDhYezF9nOQL/PrCuHRyJIY2BQDcHiAhAv06c1bRuxBo54BP3UroAjAg4Rh+/TYKmNUPUEGNnKtyUBQ54OMIlFedOy3gfn3/f+JXxu6687ehHAjVTeHwznbHehfzIb9RBB7XXSX7P/ahSvYHwR8dOLHkIVFuf/VqJqjg7hSog2Acj0rEAnaI4PZ4wIpUIja8VGy/MEK4La1dTxK2OhkfrPaYiK/HkeEEyjRUXWLKnst/73JF/4TgRaRp2HKWHkZrmlYW/aam4y58/Xcw+EBEm6LT2/eMmIPGg3IXSEl0HeQcBk+PbbKGFVPkIGNXGsyENT5IKNIlBfdLd8A2LGfBeY/OcS+/s8e65lwyzYAmGrPXwcVU9qwkfACF65gRl/MWZmWe69RNUcHcaVUYANgoWtaONdQc7jPQpY2VHtcGlbt+IXxrgxu4eoTwo0SNjqZkOz0XBplsPkzcvmV0mgnWKF1mpFRb4Zr+b4tHXFuMubO1/MLaUHC1Pv05i0j9qDRgNwVUgJ9BwmX4dNjq4xR9QQZ2Mi1JgNBnQ8yikSpNwA+O/ZPCbF/WOiCPcazK/WebQAwFf/njf/0lweZ4pEr+g0A7cI3ABi4F7F1EAlg0rxG1TwpxJVSgQ0ACDlZ1TIGzQMEWmyo9hgsy0i145dBqaPUuZnW4bcnjPZ3dLJ9LhpYDI0y2Cismkuq3ZLrIMuImuFao4PLHsZzkzF3vr5jkBYk3Eyf3rxlxB40GpC7Qkqg7yDhMnx6bJUxqp4gA1thV+tkZw0LJ2s/XFDng4wia9UbAMer7uzuqutemdCxf8+YbQCwf8z4/OHp7hyac9111/eX/EcA2fcG2D9RpFyYortkPwHA/zCg9KtG1RwjxJUSbQCU7lxWPGiPDGOPs4I7nGGROyaVKshIGa/4fYN1jq6fldc7Wts8y7ABCK5CG4XlglpK127JdZBlRM1wLdUtM86ycObOPne+nmlIC5LZBPPGEOvHZmzLEx37KF0FHQAeJAzcp8dWGaPqCTKwFXa1SrWGhZO1Hy6o/iCjyFphA+D3wH7i/5x9C+CbPc3f8D8BOP6yZ3r2VC//7p8HZv9YMHu9qQ0A7cIUhxu2Z/AVmT3EPLDq6Ht4iCsl2gAI6cZsNtAemdIezwbETNQECBNQJXmDdW6wJN38BmprAIKmwxAahWUg9InR1zMVqN2Sp5CllTwVVfHieM9wdUTLVi0LZ+7sc+fr2wNpQcKd8+lpAwDz5Bj5qXMYt6YC8CBhjD49tsoYVU+Qga2wq1WqNSycrP1wQfUHGWXU+vcl/glj9sf8+kv/TIV/POjvC/2Dw8qF7yP81Hj8Dz7rRpMDDlKiDYCMpVPeFdojY9vj8hkDIjYBIgBnrskG69xgSbrLDdTWAARNhyE0CstA6BOTkac9RvtglNRPlTQ178aS5iViZbi6seRxXxyOG6RHWyu7j5Na+TzlKTWkBUnNyXefPvhWFIc7pZGfuhWwAOBBwrB9emyVMaqeIAGb7/hNCGW6WKVaQ9PyJOSg+oOMlqGr/5uAGskDqw40A4TgICXaAABuGpCgPRKMPV4EYhMgZqh8g3VusCS9EBqorQEImg5DaBSWgdAnrhe5ryLjj+7cJmklp3kJBBmuJStQsYrDUYGD3mtl98X16YPAphtBWpBwNJ+eNgAwT46RnzqHcWsqAA8SxujTY6uMUfUECdgqYbLCWsMEnOt2Cao/yKgKD/yL/+zlj311fu+fzJsJrDrQDLCAg5QG1YEBOI1L8R7j8YrPNg8QKrah2mOwnFFqAsQM9Raps9LWcWL5RUpKzF2biSVr6ympXWIi8w0wc3LIvQVPNWNq3h04Y+VluLqxpFWgYuV5qyip78XJ6IH4qqqVb6J+gAMSdvHpaQMA8+QY+alzGLemAvAgYYw+PbbKGFVPkICtEiYrrDVMwLlul6D6g4yq8ND/U8JVYk8FDaw60AyygYOUCmwALHRNg5qmJKh5ynLxeRuqPV4EYBMgZqi8SJ1FghQrdkk0tXPXjl+sCbMHav6M7GVkgz2dasb6S86rIM/bu5IWnmisKoADEmbIp6cNAMyTY+SnzmHcmgrAg4Qx+vTYKmNUPUECtkqYrLDWMAHnul2C6g8yWjcPDvSBVQeaQQJwkFKBDQAI3qgENTcKEGDZUO0xWM4oNQFC1Dt1M51HSpE6iwTJq8PwXhJN7dx1F4NBIomzMVB7zcxWSHii9ZecV8E2D+M8TsJXT6AlwAEJu/r0tAGAeXKM/NQ5jFtTAXiQMEafHltljKonSMBWCZN1srOGCTjX7RLEcpDRunlwoA+sOtAMEoCDlGgDALhpQIL2SDD2uDTEoDNQkFFpZM54dekoUmddiE5WRpSjaIrU608+mtvvRjMnzMAJrpn1l7z+CsofcY1xAnBAwkX79LQBgHlyjPzUOYxbUwF4kDBGnx5bZYyqJ0jA1iKmhDIadwliOcio8ULj4QVWHX0PD3GlRBsA8b2p6AHtkUnscenUteMXxrsCuG1BHEUzOpnfucrh8wFShOYYiL6eNVdBNKD1l0wH+rDpjXECcEDCoH162gDAPDlGfuocxq2pADxIGKNPj60yRtUTJGBrEVNCGY27BLEcZNR4ofHwalUNcaVEGwDxvanoAe2RSexx6dS14xfGuwK4bUEcRTM6md+5yuHzAVKE7TCw/sfo9faCuB/2rjFO4FwMEgbt09MGAObJMfJT5zBuTQXgQcIYfXpslTGqniABW2PHb0IFa3AJ6nyQ0RqqjcJYq2qIKyXaAIhqS21jaI/MZI9L568dvzDeFcBtC+IomtHJ/M5VDp8PkCJshwFabNvpJVVSnAE4PEDCSXx62gDAPDlGfuocxq2pADxIGKNPj60yRtUTZGAj15oMBHU+yKgmykVi16oa4kqJNgAWaa8vKbRHWthjn1+qvnb8VFwevxXAbWvreJSw0UlPByLUbTERATzc9ARKDCdjUcvKa3nR2lzJM1ZehqsLybp1c5Mxd76+O3B4gIQb59PTBgDmyTHyU+cwbk0F4EHCGH16bJUxqp4gAxu51mQgqPNBRjVRLhK7VtUQV0oFNgAWuqaFtwVqDvdZyNKGao9Lw6odvzDelcEtXH1CuFHCRicTkp2eS6MMNn9GLr9SGu0EK7ROMzLqzXAt37elI85Nxtz5en4hLUiYep+eNgAwT46RnzqHcWsqAA8SxujTY6uMUfUEGdjItSYDQZ0PMqqJcpHYtaqGuFIqsAEAIRdhajpp8wChBBuqPQbLMlLt+GVQ6ih1bqZ1+O0Jo/0dnWyfiwYWQ6MMNgqr5pJqt+Q6yDKiZrjW6OCyh/HcZMydr+8YpAUJN9Onpw0AzJNj5KfOYdyaCsCDhDH69NgqY1Q9QQa2wq7Wyc4aFk7WfrigzgcZtV9rJMJaVUNcKdEGQGRj6ppDe2Qee1w6e9AZKMioNLIF4m2wztH1s/J6R2ubZ/k0AMFVaKOwXFBL6dotuQ6yjKgZrqW6ZcZZFs7c2efO1zMNaUEymzD2mO/zwP4nPFo1QQAeJNxLnx5bZYyqJ8jAVtjVKtUaFk7Wfrig+oOM2q81EmFg1dH38BBXSrQBENmYuubQHpnHHtfN7oneBAgPtpLqDda5wZJ0xxuorQEImg5DaBSWgdAnRl/PVKB2S55CllbyVFTFi+M9w9URLVu1LJy5s8+dr28PpAUJd86nH9sawBFOduSnbgWUAHiQMGyfHltljKonyMBW2NUq1RoWTtZ+uKD6g4zarzUSYWDVgWaQHBykRBsAwE0DErRHgrHHi0BsAsQMlW+wzg2WpBdCA7U1AEHTYQiNwjIQ+sRk5GmP0T4YJfVTJU3Nu7GkeYlYGa5uLHncF4fjBunR1sru46RWPk95Sg1pQVJz8t2npw0AzJNj5KfOYdyaCsCDhDH69NgqY1Q9QQI23/GbEMp0sUq1hqblSchB9QcZbY6uwKoDzYAecJASbQAANw1I0B4Jxh4vArEJEDNUvsE6N1iSXggN1NYABE2HITQKy0DoE9eL3FfRcaqkqXl34DQvESvDtTgWFrA4HDdIj7ZWdl9cn94Dr5Qa0oKEY/v0SzcIo2xy5KeuSbgYFIAHyWeB9cVGvsTFEiQEqoTJCmsNE3Cu2yWo/iCjdfPgQB9YdaAZJAAHKdEGAHDTgATtkWDs8SIQmwAxQ+VF6qy0dZxYfpGSEnPXZmLJ2npKapeYyHwDzJwccm/BU82YmncHzlh5Ga5uLGkVqFh53ipK6ntxMnogvqpq5ZuoH+CAhF18etoAwDw5Rn7qHMatqQA8SBijT4+tMkbVEyRgq4TJCmsNE3Cu2yWo/iCjdfPgQB9YdaAZJAAHKRXYAFjomgY1TUlQ85Tl4vM2VHu8CMAmQMxQeZE6iwQpVuySaGrnrh2/WBNmD9T8GdnLyAZ7OtWM9ZecV0Get3clLTzRWFUAByTMkE9PGwCYJ8fIT53DuDUVgAcJY/TpsVXGqHqCBGyVMFlhrWECznW7BNUfZLRuHhzoA6sONIME4CClAhsAELxRCWpuFCDAsqHaY7CcUWoChKh36mY6j5QidRYJkleH4b0kmtq56y4Gg0QSZ2Og9pqZrZDwROsvOa+CbR7GeZyEr55AS4ADEnb16WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CArRIm62RnDRNwrtsliOUgo3Xz4EAfWHWgGSQABynRBgBw04AE7ZFg7HFpiEFnoCCj0sic8erSUaTOuhCdrIwoR9EUqdeffDS3341mTpiBE1wz6y95/RWUP+Ia4wTggISL9ulpAwDz5Bj5qXMYt6YC8CBhjD49tsoYVU+QgK1FTAllNO4SxHKQUeOFxsMLrDr6Hh7iSok2AOJ7U9ED2iOT2OPSqWvHL4x3BXDbgjiKZnQyv3OVw+cDpAjNMRB9PWuugmhA6y+ZDvRh0xvjBOCAhEH79LQBgHlyjPzUOYxbUwF4kDBGnx5bZYyqJ0jA1iKmhDIadwliOcio8ULj4dWqGuJKiTYA4ntT0QPaI5PY49Kpa8cvjHcFcNuCOIpmdDK/c5XD5wOkCEUZ2LFX/zT7zGUaMXqJiRNdE0UPrexgcC4GCQf16WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CAbf3bsglFz+4S1Pkgo9mh105Yq2qIKyXaAKjdyaj40B7pZo+jggUY144fACHGZAVw24I4imZ0MqYtbtvK4d1JSbsYA4v2e9Hki1FOiYmBIAbg8AAJO/r0tAGAeXKM/NQ5jFtTAXiQMEafHltljKonyMBGrjUZCOp8kFFNlIvErlU1xJUSbQAs0l5fUmiPtLDHPr9Ufe34qbg8fiuA29bW8Shho5OeDkSo22IiAni46QmUGE5G5eU0DmTR5OPQqsxmrLwM1yqlLBp0bjLmzteTC4cHSJh3n542ADBPjpGfOodxayoADxLG6NNjq4xR9QQZ2Mi1JgNBnQ8yqolykdi1qoa4UiqwAbDQNS28LVBzuM9CljZUe1waVu34hfGuDG7h6hPCjRI2OpmQ7PRcGmVwmTPyMln7RddoJxi6OrRk1Jvhur0jfG4y5s43ODx8AHx62gCYXPR+6iZdlzcA8CBhVD49tsoYVU+QgY1cazIQ1Pkgo5ooF4ldq2qIK6UCGwAQchGmppM2DxBKsKHaY7AsI9WOXwaljlLnZlqH354w2t/Ryfa5aGAxNMpgo7BqLql2S66DLCNqhmuNDi57GM9Nxtz5+o5BWpBwM3162gDAPDlGfuocxq2pADxIGKNPj60yRtUTZGAr7Gqd7Kxh4WTthwvqfJBR+7VGIqxVNcSVEm0ARDamrjm0R+axx6WzB52BgoxKI1sg3gbrHF0/K693tLZ5lk8DEFyFNgrLBbWUrt2S6yDLiJrhWqpbZpxl4cydfe58PdOQFiSzCWOP+T4P7H/Co1UTBOBBwr306bFVxqh6ggxshV2tUq1h4WTthwuqP8io/VojEQZWHX0PD3GlRBsAkY2paw7tkXnscd3snuhNgPBgK6neYJ0bLEl3vIHaGoCg6TCERmEZCH1i9PVMBWq35ClkaSVPRVW8ON4zXB3RslXLwpk7+9z5+vZAWpBw53z6sa0BHOFkR37qVkAJgAcJw/bpsVXGqHqCDGyFXa1SrWHhZO2HC6o/yKj9WiMRBlYdaAbJwUFKtAEA3DQgQXskGHu8CMQmQMxQ+Qbr3GBJeiE0UFsDEDQdhtAoLAOhT0xGnvYY7YNRUj9V0tS8G0ual4iV4erGksd9cThukB7t3NnnzteXDWlBwoz49LQBgHlyjPzUOYxbUwF4kDBGnx5bZYyqJ0jAlndO8ya0SrWGXretTgTVH2S0OYYCqw40A3rAQUq0AQDcNCBBeyQYe7wIxCZAzFD5BuvcYEl6ITRQWwMQNB2G0CgsA6FPXC9yX0XHqZKm5t2B07xErAzX4lhYwOJw3CA92rmzz52vLxvSgoQZ8emXbhBG2eTIT12TcDEoAA+SzwLri418iYslSAhUCZMV1hom4Fy3S1D9QUbr5sGBPrDqQDNIAA5Sog0A4KYBCdojwdjjRSA2AWKGyovUWWnrOLH8IiUl5q7NxJK19ZTULjGR+QaYOTnk3oKnmjE17w6csfIyXN1Y0ipQsfK8VZTU9+JkTACZO18PB0gGCSP16WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CArRImK6w1TMC5bpeg+oOM1s2DA31g1YFmkAAcpFRgA2ChaxrUNCVBzVOWi8/bUO3xIgCbADFD5UXqLBKkWLFLoqmdu3b8Yk2YPdAyZ+QSWTfY0yla1l9yXgV53rMfW+tMCCSDhCvx6WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CArRImK6w1TMC5bpeg+oOM1s2DA31g1YFmkAAcpFRgAwCCNypBzY0CBFg2VHsMljNKTYAQ9U7dTOeRUqTOIkHy6jC8l0RTO3fdxWCQSGIQAyX6XSJGENh2jNZfcl4FdBjPsBahRSDhtD49bQBgnhwjP3UO49ZUAB4kjNGnx1YZo+oJErBVwmSd7KxhAs51uwSxHGS0bh4c6AOrDjSDBOAgJdoAAG4akKA9Eow9Lg0x6AwUZFQamTNeXTqK1FkXopOVEeUomiL1+pOP5va70cxKGSjR7xIxVkbf+ktefwUrWzLxcKFFIOEoPj1tAGCeHCM/dQ7j1lQAHiSM0afHVhmj6gkSsLWIKaGMxl2CWA4yarzQeHiBVUffw0NcKdEGQHxvKnpAe2QSe1w6de34hfGuAG5bEEfRjE7md65y+HyAFKEoAyX6HX09K1rBIsHWX3KJxi9C/ekkhRaBhKv36WkDAPPkGPmpcxi3pgLwIGGMPj22yhhVT5CArUVMCWU07hLEcpBR44XGw6tVNcSVEm0AxPemoge0Ryaxx6VT145fGO8K4LYFcRTN6GR+5yqHzwdIEYoysGi/1/8YXbQXswYj7melOyUZHJsg4Tg+PW0AYJ4cIz91DuPWVAAeJIzRp8dWGaPqCRKw0TktgbRol6DOBxlFp27doVbVEFdKtAHQ1EqA9khY9rg02NrxC+NdAdy2II6iGZ3M71zl8PkAKUJRBhbt96LJi9JIwYiB4gzA4QESTuLT0wYA5skx8lPnMG5NBeBBwhh9emyVMaqeIAMbudZkIKjzQUY1US4Su1bVEFdKtAGwSHt9SaE90sIe+/xS9bXjp+Ly+K0Abltbx6OEjU56OhChbouJCODhpidQYjgZlZfTOJBFk49DqzKbsfIyXKuUsmjQucmYO19PLhweIGHefXraAMA8OUZ+6hzGrakAPEgYo0+PrTJG1RNkYCPXmgwEdT7IqCbKRWLXqhriSqnABsBC17TwtkDN4T4LWdpQ7XFpWLXjF8a7MriFq08IN0rY6GRCstNzaZTBZc7Iy2TtF12jnWDo6tCSUW+G6/aO8LnJmDvf4PDwAfDpaQNgctH7qZt0Xd4AwIOEUfn02CpjVD1BBjZyrclAUOeDjGqiXCR2raohrpQKbABAyEWYmk7aPEAowYZqj8GyjFQ7fhmUOkqdm2kdfnvCaH9HJ9vnooHF0CiDjcKquaTaLbkOsoyoGa41OrjsYTw3GXPn6zsGaUHCzfTpaQMA8+QY+alzGLemAvAgYYw+PbbKGFVPkIGtsKt1srOGhZO1Hy6o80FG7dcaibBW1RBXSrQBENmYuubQHpnHHpfOHnQGCjIqjWyBeBusc3T9rLze0drmWT4NQHAV2igsF9RSunZLroMsI2qGa6lumXGWhTN39rnz9UxDWpDMJow95vs8sP8Jj1ZNEIAHCffSp8dWGaPqCTKwFXa1SrWGhZO1Hy6o/iCj9muNRBhYdfQ9PMSVEm0ARDamrjm0R+axx3Wze6I3AcKDraR6g3VusCTd8QZqawCCpsMQGoVlIPSJ0dczFajdkqeQpZU8FVXx4njPcHVEy1YtC2fu7HPn69sDaUHCnfPpx7YGcISTHfmpWwElAB4kDNunx1YZo+oJMrAVdrVKtYaFk7UfLqj+IKP2a41EGFh1oBkkBwcp0QYAcNOABO2RYOzxIhCbADFD5Rusc4Ml6YXQQG0NQNB0GEKjsAyEPjEZedpjtA9GSf1USVPzbixpXiJWhqsbSx73xeG4QXq0c2efO19fNqQFCTPi09MGAObJMfJT5zBuTQXgQcIYfXpslTGqniABW945zZvQKtUaet22OhFUf5DR5hgKrDrQDOgBBynRBgBw04AE7ZFg7PEiEJsAMUPlG6xzgyXphdBAbQ1A0HQYQqOwDIQ+cb3IfRUdp0qamncHTvMSsTJci2NhAYvDcYP0aOfOPne+vmxICxJmxKdfukEYZZMjP3VNwsWgADxIPgusLzbyJS6WICFQJUxWWGuYgHPdLkH1BxmtmwcH+sCqA80gAThIiTYAgJsGJGiPBGOPF4HYBIgZKi9SZ6Wt48Tyi5SUmLs2E0vW1lNSu8RE5htg5uSQewueasbUvDtwxsrLcHVjSatAxcrzVlFS34uTMQFk7nw9HCAZJIzUp6cNAMyTY+SnzmHcmgrAg4Qx+vTYKmNUPUECtkqYrLDWMAHnul2C6g8yWjcPDvSBVQeaQQJwkFKBDYCFrmlQ05QENU9ZLj5vQ7XHiwBsAsQMlReps0iQYsUuiaZ27trxizVh9kDLnJFLZN1gT6doWX/JeRXkec9+bK0zIZAMEq7Ep6cNAMyTY+SnzmHcmgrAg4Qx+vTYKmNUPUECtkqYrLDWMAHnul2C6g8yWjcPDvSBVQeaQQJwkFKBDQAI3qgENTcKEGDZUO0xWM4oNQFC1Dt1M51HSpE6iwTJq8PwXhJN7dx1F4NBIolBDJTod4kYQWDbMVp/yXkV0GE8w1qEFoGE0/r0tAGAeXKM/NQ5jFtTAXiQMEafHltljKonSMBWCZN1srOGCTjX7RLEcpDRunlwoA+sOtAMEoCDlGgDALhpQIL2SDD2uDTEoDNQkFFpZM54dekoUmddiE5WRpSjaIrU608+mtvvRjMrZaBEv0vEWBl96y95/RWsbMnEw4UWgYSj+PS0AYB5coz81DmMW1MBeJAwRp8eW2WMqidIwNYipoQyGncJYjnIqPFC4+EFVh19Dw9xpUQbAPG9qegB7ZFJ7HHp1LXjF8a7ArhtQRxFMzqZ37nK4fMBUoSiDJTod/T1rGgFiwRbf8klGr8I9aeTFFoEEq7ep6cNAMyTY+SnzmHcmgrAg4Qx+vTYKmNUPUECthYxJZTRuEsQy0FGjRcaD69W1RBXSrQBEN+bih7QHpnEHpdOXTt+YbwrgNsWxFE0o5P5nascPh8gRSjKwKL9Xv9jdNFezBqMuJ+V7pRkcGyChOP49LQBgHlyjPzUOYxbUwF4kDBGnx5bZYyqJ0jARue0BNKiXYI6H2QUnbp1h1pVQ1wp0QZAUysB2iNh2ePSYGvHL4x3BXDbgjiKZnQyv3OVw+cDpAhFGVi034smL0ojBSMGijMAhwdIOIlPTxsAmCfHyE+dw7g1FYAHCWP06bFVxqh6ggxs5FqTgaDOBxnVRLlI7FpVQ1wp0QbAIu31JYX2SAt77PNL1deOn4rL47cCuG1tHY8SNjrp6UCEui0mIoCHm55AieFkVF5O40AWTT4OrcpsxsrLcK1SyqJB5yZj7nw9uXB4gIR59+lpAwDz5Bj5qXMYt6YC8CBhjD49tsoYVU+QgY1cazIQ1Pkgo5ooF4ldq2qIK6UCGwALXdPC2wI1h/ssZGlDtcelYdWOXxjvyuAWrj4h3Chho5MJyU7PpVEGlzkjL5O1X3SNdoKhq0NLRr0Zrts7wucmY+58g8PDB8Cnpw2AyUXvp27SdXkDAA8SRuXTY6uMUfUEGdjItSYDQZ0PMqqJcpHYtaqGuFIqsAEAIRdhajpp8wChBBuqPQbLMlLt+GVQ6ih1bqZ1+O0Jo/0dnWyfiwYWQ6MMNgqr5pJqt+Q6yDKiZrjW6OCyh/HcZMydr+8YpAUJN9Onpw0AzJNj5KfOYdyaCsCDhDH69NgqY1Q9QQa2wq7Wyc4aFk7WfrigzgcZtV9rJMJaVUNcKdEGQGRj6ppDe2Qee1w6e9AZKMioNLIF4m2wztH1s/J6R2ubZ/k0AMFVaKOwXFBL6dotuQ6yjKgZrqW6ZcZZFs7c2efO1zMNaUEymzD2mO/zwP4nPFo1QQAeJNxLnx5bZYyqJ8jAVtjVKtUaFk7Wfrig+oOM2q81EmFg1dH38BBXSrQBENmYuubQHpnHHtfN7oneBAgPtpLqDda5wZJ0xxuorQEImg5DaBSWgdAnRl/PVKB2S55CllbyVFTFi+M9w9URLVu1LJy5s8+dr28PpAUJd86nH9sawBFOduSnbgWUAHiQMGyfHltljKonyMBW2NUq1RoWTtZ+uKD6g4zarzUSYWDVgWaQHBykRBsAwE0DErRHgrHHi0BsAsQMlW+wzg2WpBdCA7U1AEHTYQiNwjIQ+sRk5GmP0T4YJfVTJU3Nu7GkeYlYGa5uLHncF4fjBunRzp197nx92ZAWJMyIT08bAJgnx8hPncO4NRWABwlj9OmxVcaoeoIEbHnnNG9Cq1Rr6HXb6kRQ/UFGm2MosOpAM6AHHKREGwDATQMStEeCsceLQGwCxAyVb7DODZakF0IDtTUAQdNhCI3CMhD6xPUi91V0nCppat4dOM1LxMpwLY6FBSwOxw3So507+9z5+rIhLUiYEZ9+6QZhlE2O/NQ1CReDAvAg+SywvtjIl7hYgoRAlTBZYa1hAs51uwTVH2S0bh4c6AOrDjSDBOAgJdoAAG4akKA9Eow9XgRiEyBmqLxInZW2jhPLL1JSYu7aTCxZW09J7RITmW+AmZND7i14qhlT8+7AGSsvw9WNJa0CFSvPW0VJfS9OxgSQufP1cIBkkDBSn542ADBPjpGfOodxayoADxLG6NNjq4xR9QQJ2CphssJawwSc63YJqj/IaN08ONAHVh1oBgnAQUoFNgAWuqZBTVMS1Dxlufi8DdUeLwKwCRAzVF6kziJBihW7JJrauWvHL9aE2QMtc0YukXWDPZ2iZf0l51WQ5z37sbXOhEAySLgSn542ADBPjpGfOodxayoADxLG6NNjq4xR9QQJ2CphssJawwSc63YJqj/IaN08ONAHVh1oBgnAQUoFNgAgeKMS1NwoQIBlQ7XHYDmj1AQIUe/UzXQeKUXqLBIkrw7De0k0tXPXXQwGiSQGMVCi3yViBIFtx2j9JedVQIfxDGsRWgQSTuvT0wYA5skx8lPnMG5NBeBBwhh9emyVMaqeIAFbJUzWyc4aJuBct0sQy0FG6+bBgT6w6kAzSAAOUqINAOCmAQnaI8HY49IQg85AQUalkTnj1aWjSJ11ITpZGVGOoilSrz/5aG6/G82slIES/S4RY2X0rb/k9VewsiUTDxdaBBKO4tPTBgDmyTHyU+cwbk0F4EHCGH16bJUxqp4gAVuLmBLKaNwliOUgo8YLjYcXWHX0PTzElRJtAMT3Rnr8fZivv9Qw2A/aI/X2GFvnj2rH9yJMY28xuN46BhNBENOqH+TSCm+8UTSjkzp2slA5fDIucqzDQIl+R1/P6pQyZ9T1l1yi8XMyfoK5oEUgYRp8+vVuAHgvirjw/JGfuvzY1SMAeJBwUp8eW2WMqidIwNYipqgySq3+EnG8MYJYDjKK4mYNxrWqhrhSog2A1NXwsRu8+nu5ZzmxoVEqR34/zN6H3xDNwOpF6pYGQRDTqveXieMZy293HFmMu5G5Mb/AOc5E3QycEMqw29CJpn43/QcRzSQysP4tjMTC1+MGVyWQMHqffr0bAPiiGHqLgVkJGvmpC3Jf1gjAg4QR+fTYKmNUPUECttWf00qt/hJxvDGCOh9klNDitl1qVQ1xpUQbAKnr4GP38q5eL7tC1xdoj4Rlj1PB+vxqx/flPaaxtxhcbx2DiSCIadUPcmmFN94omtFJHTtZqBw+GRc51mFg0X4vmrwOnxSVGCjFABweIOHYPv2aNwAq3KBh0uTIT53LujEdgAcJQ/TpsVXGqHqCDGyrdfXeEkZWVCKON0ZQ54OMIqtq37xW1RBXSrQBkLoWPnbvf+r1ThsAkTSmsQerNzLdfOZBW8dp1fuL8MYbJWx00p8sdCaIidBgbdqdQInhxFdeTuNAFk0+Dq3KbMbKy3CtUsqiQecmY+58PblweICEeffp17wBUOEGDZMmR37qXNaN6QA8SBiiT4+tMkbVE2RgW62r95YwsqIScbwxgjofZBRZVfvmtaqGuFIqsAGw0DUtvIdQc7jPtKV3VU+7+i1sqPbY75k2Uzu+F1Uae4vB9daRNpFWvT+XN94oYaOT/mQ0oxlolMFlzsjLZO170WgnGLo6tGTUm+GqF/5mhLnJmDvf4PDwAfDpaQNgcq37qZt0Xd4AwIOEUfn02CpjVD1BBrbVunpvCSMrKhHHGyOo80FGkVW1b16raogrpQIbABCyUVovv2sA867qjGT/DpZzHeiQZLHepbFX52Ya6JhLSqvej84X7/vS77PeO7u+pgYWw2KHz1hbV9/Y8eLcs412goGtgywjaoarm/s87bKH8dxkzJ2v7w2kBQm3zac/Hmvfg2Ac5Ua+i2K5DDLS4KatdIKq8aDvIOGEPj22yhgd/mU4r8vVOtlZw5K1lFr9JeL4YoQdOdXXX0nai8WqVTXEldIpbAA83Rf6jX7UXd+qRkZxg38XX5ZDHeiQpOIZCJK4pArsudJE6eYjo3T1nnh/909jBMxX7xiK5Dk4lSWHyHVsAIKrhEZhuaCW0rVbch1kGVEzXEt1y4yzLJy5s8+dr2ca0oJkNmFsn6r2PQjGUW7kuSiWSyAjDW/aSmeoGg/WA0g4oU+PrTJGXxcnswNgcWkNMzgcuJZa/SXieGIEHjkVSRqw1o4isOroe3iIK6VT2AA43u8HP9hfQmH+iVmJeLuD/fx/rAW9CNy8IMXZy4Mzs3fp6t3x7to5oZVHAqey8rEDIzYAwYW0UVguqJYu+nqm/ANKTo6tcqS9TyFLgzUVdQRrhutI1OSpZeHMnX3ufH1bIC1IuGM+PbOqdPtU/4rrvigWzuu4acPMtj2CvoOEEfv02Cpn9HUo3BMKxxgotfpLxHHGCDxy6q+/nLVby3dQtfsfSJJm7jkJzTn3H5tjrg+73UlsAFRpkmdbq0qu7QVtkb3BMVeN9tLVl45XrfCSgedrlxd1AxBc2BqF5YJq6ZKRBzxGJ8e2MEYOp9JOzbvTpXmJWBmubiwB3Lsd68AZyTWcKk7GMAXSzJ2vTw5pQUK4Kv2lCs4x7+gkL4rRFMN6AAkH8emx1cZGeec0LxkWl9bQ65YwUWr1l4iTF6MiSQm8zuUSWHWgGaAGBynRBgBwEyflreq4XNuzbpE9ODZq8126+tLxatdfJP587fLCbQCCC1ujsFxQLV1N5DVjW2WYw6m0U/NmLJDTvIR/hivkN6W8gHneJo4Uee7sc+frOYG0IGG6fHpstabRSV4UoxsEfQcJB/HpsdXGRpWKtsJaw5Icllr9JeLkxahIUknCC8cKrDrQDMCBg5RoAwC4iZPyVnVcru1Zt8geHBsZfAdtHZeuvnS8jPrBNYgJMI+WirQrOityqF0iShY+aICZcLDIsibymrFREXgwlXZqHkdTo4yVl+GqsuP3tApUjDxvFSX1vTgZE0DmztfDAZJBwkh9emy1plGTF8XmCIS+g4RB+vTYamOjSkVbYa1hSQ5Lrf4ScfJiVCSpJOGFYwVWHWgG4MBBSgU2ABa6pkFNy0h5q3oZzO1kbZE9ODYyeAoKUrr60vEy6gfXICbAPFqqHT8aUDMOy5yRS2St2dOasUdaP0XLQrBGEMdO5VWQ5x2L9UTtgWSQMBU+PbZa06jJi2JzBELfQcIgfXpstbFRpaKtsNawJIelVn+JOHkxKpJUkvDCsQKrDjQDcOAgpQIbABD8pKSP3cu7er3sPk6q9vxi09ibupnOwwXHRkacoCBp1ftRlY7nzxQxE8RERDzbtO5isLPReIqBEv0uEcOHs2ZsX84AfaOwApArk7wK6DBWPFZ8hxaBhNP59NhqTaMmL4rNEQh9BwmD9Omx1cZGlYq2TnbWsCSH5up/3r0nh+7jiGed1MccE0t8jEqtSGZkHsfAqgPNADM4SIk2AICbOOkD/dTojBsAzp917E8lK5tTFIayB6s3rldh1kVOx0EQS6+dtHhF6vVTG8SE351mVsZAiX6XiOGjrWZsX84AfaOwApArk/VXoCrZ7Du0CCRcrE+PrdY0SrsorqnCElih7yDhuD49ttrYaPVF49X/kNweHCf0Rh2ny4ux+lZgMgJHgVVH38NDXCnRBkBgQwZmfx/m628wvwoFLIeZ4aaxtxjccHaCIPbV7+QKyl87TbIZxEQ4sWTZOAMl+h19PYvgpGbsCBi2aaOwbJgj4xKNHwlPU/kMQItAwlF9emy1plHaRXFNFZbACn0HCcf16bHVxkarL9pc/fv9RXJ7ZJzr3YO4V027VTWxfHzExlh9K5K4r1U1xJUSbQAktWfC6eV1wqCVaVgOrSBSOJwUtgtXwY7455ReXnE5z/wf58x8Pf1zBeBcOqLj9C7HLF3l8FnYyLk8A4v2e/2P0eUbMldE4n4uppPzwLEJEg7m02OrrYycdxdbKS6qDug7SDiAT4+tNjbazjnt6d9/u92VfW/puSX0dPF5h7cQHDeTHs8w9ejheJLrL+I5IoxiZQVsSok2ABQzge/3IaeG27vAaEubwXJYGomd30lhu3A1/HCIt3fY9vZBBxkXRpbgtTMG59IRHacfz5kwWzl8AiJyqcnAov1eNHlNVik2MZDPABweIOGoPj22WsFo5OoI6J13FzB9QhL0HSRcvk+PrWi0JAMji/764XK3u7y20HluCS0rNWQR0BaC42ZSmYa8/75+Y7PRw/E011+tqiGulGgDAC/FydHN/aQJe9qiDYAAlkZNnBTC6h31XXIyZH9I4rM3AIJRjyxB/waAI3plNsOZcGBbh+oESgxvROXlNA5k0eTj0KrMZqy8DNcqpSwadG4y5s7XkwuHB0iYd58eW61gNHJ1BPTOuwuYPiEJ+g4SLt+nx1Y0WpKBkUV/fbtnP7V1af31ftwBwAPYWwjJ5f53uLDAjD8vneb6q1U1xJVSgQ2Aha5pyQsw0fHr9vLq7udltz8cfo4fbPDwyyI9X179J77A8nZzefjkobkm7vCKAlSWbVgOUSDijN9uLq5fjsen/16u2MbI6/XFLdsAZKPLq1cWSAvHaQpngRtXXIz103+vV6LmfpHsPhkfvwf29ax/j2zhcDasl2mg1ly/BBVdPa3S8fqhZ1XRrJejiK4Ylmt55WxaVC0xbJTBsueIUGKXydqja7QTDF0dWjLqzXANXQrrsZubjLnzDQ4PHwCffj2tbOQGbT2ECaTQd5BwCT49tqLRTAxE3xJe7Hb73cWtvvMeuyXUNaBb1VsWYLf/GL9V7V2nbvZv2GYCf/5Xt6IajU5tC6e5/mpVDXGlVGADAELardvU+Pz+/e3x+/Py5t+/v+Pz8/vb1dXx+Hj++naz44+1Z8/vj2df7H7v7OXtmmsqvcqyXTaau+TX7vH9P/bV9Ovdzb+348vZ89vN+S8bHd6eO/bsq4UACuvcTLthV9Be727fnjr2T7L0i2T3030f/3VsHd0wfly7uKaBWnP9ElR0SVp7tJpMRbNejjy6cjnKtTxH8yuwqEI2sBgaZbBRWKpxNd7bLbkOsoyoGa41OrfsYTw3GXPn6zsGaUHCzfTpsVXLo0Zu0FqmyIEN+g4SNvPpsRWNQhiwTnbWMCTCMfaW8Gq3e96d7XbfIbeEGgG6VWXP7Ifd+c34rap0Hb/Z/2EbCRe7M3bXr29F9Q2qTm0Lp7n+alUNcaVEGwD2evOMv7sfMQOPab/d1/Hs9Xj8O2eP++fsI+7jHdtm48Lf2Vo2AFLOQB6CvOrzJzl1LX6K9Jyn3D0er/fs/YGptDAbhT6k1cm4vmSpr9mTeL9Ino/7l+P9Xfd3PHtzbwAgA+bM11y/U6DokrT2NQGZPc16OfJ1q1z6tVy9Xh/RZfRwKisTLyFKAxBcqBuF5YJaStduyXWQZUTNcC3VLTPOsnDmzj53vp5pSAuS2QR2ScbD9Y1auUFbGXPQd5BwCT49tqJRCAMWl9YwJMIx9pZwzz5w3z3sdw/qznvsllAjMG9V3/jz/zvbQhi/VRW+Yzf7+2u+k3Dxwe/61a2ouhXWiYdCEknDMCvTBFYdfQ8PcaVEGwChC+Ni/8A+u+2fvn4fry8uurcv9gkuU90dv7r7x0emO34LzfVaNgBCi8+w++LPrPzFn3wZP3x0d3MUFL2zZ18lzEchB+N6wbHhmi2gEwzcH4xFwgb798u3D8aD8xsAR8OgX3O9oaZLBFXgFJmKZliObANAuxz7tay81vlevV3TtDQAwQWyUVguqJYu+nqm/ANKTo6tcqS9TyFLgzUVdQRrhutI1OSpZeHMnX3ufH1bIC1IuGM+PbZqedTIDVrLFDmwQd9BwmY+PbaiUQgDFpfWMCTCMfKW8Hd3YLt7791/+/7OO+yW0LxVvdlfsd+rPrBdhNFbVY5+7Gb/5Zw9//O9BPG6ls9Lj3LEvgTLX89y1F8S+1FPknMOW1YcSXwz/j9waQSaAXBwkBJtAAA349Lf6+Fs/90/pl3evH99df/0BsBn9/DEXi/sCOBfFDjQBoAm81NsibCh+IE6ydj9tdwO+OjY3wLwfQEmzEehhmYJcGxYE6WGgoH7G2OR/Dv/Oft7uH/iJ0D4bomRzzDo11xvqOlCv/unyFQ0w3Jk0bXLsV/LRp4VitXbNc1JAxBcIBuF5YJq6ZKRBzxGJ8e2MEYOp9JOzbvTpXmJWBmubiwB3Lsd68AZyTWcKk7GMAXSzJ2vTw5pQUK41v8NAHVRk5fR5W7QMK3Nj2A9gIRB+/TYamOjvHOalwyLS2vodUMTcbeEr1fs/nrH7q//O+MfVt5fh90SGreqvxcfB7YB8O/8YvxWlYMcv9l/Yj9HwH4BIPJmP4kkxFj+oNJyGAEWWHWgGSQCBynRBgBwMyn9XTzIxzT+dzjsc9x/fx3/d9fZX/z/CoHJfx37MvdxTxsAmkxNjTinSH7YjwFe818VfT1j+wK9oO2qU6ihWQIcG9ZEqaE6q0KFvx3bC3m/uH5kKZwbAGCg1lxvqOnCGwA9mYpmyMSiaxdeD1/L635Vb9c0PQ1AcIFsFJYLqqWribxmbKsMcziVdmrejAVympfwz3CF/KaUFzDP28SRIs+dfe58PSeQFiRMl0+PrRoftXCD1jhFNjzoO0jYxqfHVhsbVSraCmsNwziMuyX85vfXO3ajHXdLaNyqvn6w55kdu3s8XI7eqnL0+hbTc7N/ub/c7x7PwA5uUL3FJ5HkjZY2MT+GwIyBZlA1OEiJNgCAm1Hph33//3f/fLy/+v1jB9PL8e+aPfTf7T9+7vlf/N/u2Vfbv5jN4fL3+NLRBgCQKaj56L8BcLy9+Dn+130eOXs/e/7bgEqYjUKAhiU4NrA+ajS2V6jOqsYiueye2GrqGD3uDYCjNtBrTi5BveLwBoAms6dZL0e+vaAYVms5qrBo4zEmooM5HIq0yxE3QlW7xAgopmkDzJhwIuSayGvGHilxKu3UvDt0xsrLcHVjSatAxcrzVlFS34uTMQFk7nw9HCAZJIzUp8dWDY/URW3pG7SGKXJBg76DhO18emy1sVGloq2w1jCQw/hbwh2/0VZ33kG3hMat6id/nmFIL7uH8VtVDn/yZv/pdrdjP5WmbkWNW2Ff9Wkk+aKl6efHEJgx0AyqBgcpFdgAWOiaBjXNIn2dd7vu8Hf8vjpjf0zz0u3Ons/+Hf9uz84fDuzo+rvrzs/OX4/Hn8vu/LrinwCsj+2/Q3fe3agNgN8rRhQr4vru8ry7/jOE2Sj0rRc4NnwWAfqxIPqsCovkge2FHK/OeGDnNwCOYKDWXL8EFV14A0CxqmjWmXh05aLWckA5GSZjTGSE1a614+tEqxOWOUeUyFqzpzVjjyyRKVoWgjWCOHYqr4I871isJ2oPJIOEqfDpsVXDI3VRW/oGrWGKXNCg7yBhO58eW21sVKloK6w1DOQw/pbwjN9oR90S2reqDCmk9dyqcvghN/sXFx/6VjTgeSmNpEAuA83mxxCYMdAMygQHKRXYAIDg25Z+vn6hwL8vdkj1L/ZT7uz19/Ujx9/8b23oZTDwq6gRuh9BHTvDSKK0EEDh1M20kTNBhGMjwVm5BAZJWSTmmuPp9IpTucW7iixpZn+pYi5H5YLWMnIvNwhkIjlh3cWQDOtkHUv0u0QMXwNqxvblDNA3CisAuTLJq4AOY8VjxXdoEUg4nU+PrZoeoYuaebGkGzR/36DvIGFrnx5bbWxUqWjrZGcN4zk0Vzn3Vvd3OJK6BUy7JRTe4UgDbvZ/X9k9qYaq0GHMMKrUCkgQIM2PITBjoBmUCA5Sog0A4CZB+nz9+rw9h72AhBCLuoQf16Vh6g+utRCQAVZvgHG0SREyYiAWSRhdpnaonD6GCY2JhNUyUKLfJWL4CKwZ25czQN8orADkymT9FahKNvsOLQIJF+vTY6vVjdZ+g1adcOg7SDipT4+tNjY6yaKr9VDf42shIlULrZgfQ2DG6Ht4iCsl2gCIWIpD06/r/f5gfsQ6NGlaA8thbpiHpz6jFgIQLAc3AJw0iYEYYzsK4OcgX/13UEZtYbJYeghpSpXDm6lIboCBEv2Ovp5F1F0zdgQM27RRWDbMkXGJxo+Ep6l8BqBFIOGoPj22Wt1o7Tdo1QmHvoOEk/r02Gpjo9UXnXZLWKmL+h5fCxGJWmjF/BhqZYS4UqINgIiluD1TWA6rqG0FcGMgxtiO9ufvTb7ivopSLL0bW+Xw7qSkXYyBRfu9/sfoxfqWnZi4z6awdgA4NkHCOX16bEWjrTEAfQcJ1+jTY6uNjVZ/Tku7JWyxiy2sv/mXQ62qIa6UaAOgxTU/GyZYDrOlzEm0ArgxEGNsc2jz+FZOXzm8pyhSL8XAov1eNPlSjFNeYiCMATg8QMKePj22otHWGIC+g4Rr9OmxFY2IgToMnOb6q1U1xJUSbQDUWbUriQrLYRWAVwA3Zq9w4XIqp49hYhWrbwjyBEocFu3TVF5OvrRSv2jycWhVZjNWXoZrlVIWDTo3GXPn68mFwwMkzLtPj61otDUGoO8g4Rp9emxFI2KgDgOnuf5qVQ1xpVRgA2Cha1qd1dZ81LJsw3JovnAOcGVwpzhduJyF00+xs4L5Rhkse44I7cMyWXt0jXaCoatDS0a9Ga6hS2E9dnOTMXe+weHhA+DTr6eVhDSFAeg7SDiOT4+taNQwA3WuQTMVfJrrr1bVEFdKBTYAIORMK+Kk05Rlu2y06o1Z9YlsyM7C7C+cfshHnKaBxdAog43CimtvnHW7JddBlhE1wzWuJ2HWyx7Gc5Mxd76+B5AWJNwenx5b0WhrDEDfQcI1+vTYikYhDFgnO2sYEiHJJr+FcyF1lJcP3hG0eVWtqiGulDa4AbBjr369PnOZRmy1e5gQPHnmxDFySnPPPpZqMfG8LLuHdR8d4gS2LIOSwObONoyZZXmh7NXXRPodDNwCpMco6LksnLmzz52vbxSkBQn30KfHVjTaGgPQd5BwjT49tqJRCAMWl9YwJEKSTX6e/AhJwLnTgqmTMec7BlYdvTEDcaW0xQ2AfPYbjgANbBjkOqERtavqWwPtagCCq2WNwnJBtXTR1zPlH1BycmyVI+19CtnssKYApZWZ7LUsnLmzz52vbwukBQl3zKfHVjTaGgPQd5BwjT49tqJRCAMWl9YwJEKSTX6e/AhJwLnTgqmTMec7BlYdaAZ4wEFKtAEA3KxCggauAu6aQBK1a+pWCxeGRldMo7ACVlcy8oDH6OTYAbhHTKbSTs2PhE6bKp4wgPsRpMXhjOQaTs2dfe58fcWQFiRMhk+PrWi0NQag7yDhGn16bLWxUd45zUuGxaU19LrlTuTnyY+QXMOCqTXmSstBxx8KgVUHmkF8cJDSBjcA5m8W0FtfggbWz3ViGYjaVTW8gXY1AMHVskZhuaBauprIa8a2yjCHU2mn5s1YReTiCfMC5nnnMjJ39rnz9fxAWpAwdT49tqLR1hiAvoOEa/TpsdXGRpWKtsJaw2oc5ufJj5Bc3IKpNeb5MQRmDDTThRgfm0nXDW4AQLFblKI7vkUS6tRUhNptbz/FEF+biSLtiiloaFu7xGHGIE0DzAThHBrVRF4z9rASrZlKOzWvA5USii/avAryvHNJKU7GBKC58/VwgGSQMFKfHlvRaGsMQN9BwjX69NhqY6NKRVthrWE1DvPz5EdILm7B1Brz/BgCMwaa6UJqbAAsdE2Dmk5KIrartTv6YHIhKRLEFXh1utpM1I6/OsI14GXOESWy1uxpzdia+qEwRctCsIZAkzV5FeR5J4M+LUcgGSTMgE+PrWi0NQag7yDhGn16bLWxUaWirbDWsBqHU9eg6cRzIXUgWTC1RjM/hsCMgWa6kBobABCcJGKgKgP5J7IxeNEHkytYkSCuwKvT1Wai7mJYHd2LAy7R7xIxfETUjO3LGaBvFFYAcmWSVwEdxorHiu/QIpBwOp8eW9FoawxA30HCNfr02Gpjo0pFWyc7a9gwhwsirdSKKLLnxxCYMdAMigUHKRX4EwAITtLaGFjwuE6hClZviveUTxEyYiAWSThVlX++cvoYJvwgaWYtDJTod4kYPr5qxvblDNA3CisAuTJZfwWqks2+Q4tAwsX69NiKRltjAPoOEq7Rp8dWGxudZNFt9rCFVsyPITBj9D08xJUSbQC0uepnQgXLYaaEeWlWADcGYoxtHnFO78rpK4d3lkTK5Rgo0e/o61lEuTVjR8CwTRuFZcMcGZdo/P/snYta2zgQRgPhVnqnLWUpkPd/y7Ut2+M4tmVZd+vk+3aZ2KOZf45GBImQLoTnlj0BmSKxzqPOXT/34tneCMi8i3Ve49z1c6+dPSuy6DTnMIWpCK/BV0aJqywOADZ1/bF5tD+7/eRZIBLHU/Ks2wW2Smfju8qzaVLXnnV61zFroW1MExJe6htoCdSffe0l5jt67CUtz59d12k9i54jP5Sa1cv/EibQfi+uFIp1Lnfu+rkXz/ZGQOZdrPMa566fe+3sWfsysrOqsiwnhf4L3w6+qpa4ytrhAUCIyQqRI8RqlXYIkc06RwZyTSSa+FqzuwzgOb3n8Jf1cCUqgajzHTV5VOwkh4CWgCwPsc4HzV0/9+LZ3gjIvIt1XuPc9XMvnkHAD4Ey+89X1RJXWTs8AJAS/TTknqJmxioDuSZHQ5HL8ZzehESma6qAEtfPjOd2WhYSNfmytNTu0rSDGQkNI3S+tlRZHmINKFTm3PVzL57tjYDMu1jnNc5dP/fiGQT8ECiz/3xVLXGV5eAAINJr2my3SYmzLhnfcEs7M1aZydW1WeRyIqfX0cngfqIE3X6PWDsPcbK26hKdiUpdVCxTc5cuqim1nq+FhhE6X4tP0op1Tnbu+rkXz/ZGQOZdrPMa566fe/EsYQLJvQaZsCqz/3xVLXGV5eAAQEKaTKs/39T0uK3UbXVuo7mtdCJa1t/ILuuJTD9y+kseZlcSaIZECSYqy2x6zbzTLTk5ZYkJiruMQ8MIna9dRZJWrPMFNnf93ItneyPQz/vLzUxpvcfMfS6vJzD6Zjd6uj6Ooaf9FIZSOlGYvfiJoMlf8lW1xFUWBwDJt8K5QJnA8+vbnkVc19sE+xwVHEbwhOf0Iqc/F2P+zO1KMM9fjUhAwpTuRGVNSXV1Ld2Sk1OWmKC4ckJnD52vXV+SVqzzpTd3/dyLZ3sj0M37y+3LTGmdx8xtLhsQGLEcPTUIZOZqn8c+gpnigXfE1AMVoc2VVRv/DC9xlcUBQOiZtcwnE2gZiOFjAqAdE0n6eQLTlYCEqSlKVNaU1NE149ezbvyKkjfH7nJs+6pTFlyWTtC2MjePiisndPbQ+dppkbRinc/Y3PVzL57tjUA77/P7/1RPubOciNEqGz31VpJ9HvsIm4uLmHqzZvuBK6te6SZ6ZICyOAAQNllYMoFZyM1JJGhzmq0UfjBJtGMSlbWiuzYrX7GN3hx7he4FF11a3f2F0NtuBU+4LDOunNDZQ+dr2Utasc6nZe76uRfP9kZAzfvC/j+F19nw0Fe8nmwRNVplo6dbIq4aY5/HPsIqoVNOEVP3cjy1Qx//0lhZ9Uo3iS8DlLXDA4AQkxUih0za0JIJHF7FdkAAtA4ghguRwHQlIGGKd6KypqSOrvlU7jP2qIzhU11a3f1hLCd28ITLquPKCZ09dL6WvaQV63xa5q6fe/FsbwSaeV/a/5d5AOBpOYzCHo/HdifxszL9PavT+s1QL4sdZ2jmzUd9s99ORp0y57fSTYbLAGXt8ABAivVnCUZ/OaYjx8s8rWdHV52gjXc0lNpM+CbhZLrsoPkucaO6BMgkqDwSFV1a3f2NJOeHJda0wes/IxMaRuh8bbECWawzDmVu884RFPms7ofF/X+ZnTG3TCx7xFNYnSr7tPYRdBpn70dM3WsKr2FlxpVufSGD1ayGOjgAiPSaJjVFsIy5O9NYIm1n8JYDOZlUJ0GWdWZy1zcJ3/EzwTwhM873CBdZfc6pz9gTk9Bd0mGJJKuTF/1r6fUHmQCBLNZ54rnr51482xuBat6X9/+DLcPeal+ox9Ny8BR2oZDmlu41SDc+6scdR2J2xiS8hpUZV7pJMTJAWQ4OACR4OZZgLKfmBCq1/0a2VISTSXUSZEllNvd8k/DbDNlgTkaoi/l2EWMOiM/YczlXXE9U1grlblxYxm44LkaRJhPrfMDc9XMvnu2NwFG3/+cAwOGUZ/vNLqLwFL4zhdewMuNKN2lhGaAsDgCEjYElGA0GJegacV1voeEXuxMYJhKdJNzCUY3xnN6ExPYiGJkKARfz7SLGHA+fsedyrrieqKwVynHJhoA0mVjn4ueun3vxbG8Ejprf/0f95W882CyHeOxHmVOYCi8aFn/+XplxMcYIZPNU4iqLA4ApStprglHrmrRDZnVkINdEoomvhzbynN5zeA9ACGlDwMV8G7+eGQj2GdtAxtg1UVljmTzPmYCsTbHO65m7fu7Fs70RON6+aEoqsjOKLFrTCJFupzAVXjQsBl28aTETEldZHABsgikYNw1PZlBmdWQg10Siia+HlvGc3nN4D0AIaUMg6nyzjbaZOsbunICsTbHOS1afQs7/iyOg2/+X+ScAvJ6cf3uI+GzuO1ZISV7aYbGwxZsWpUtcZe3wAMDLZI2Qh8gxSunlqbSDl/Cug2Yg10Siia9rlFU8z+k9h/cAhJA2BKLOd9TkNtQYCwH/BGR5iOU/Kxn2QICO2cMs5lvDbvtvsbDFmxaTKXGVtcMDACnRglMhQzNjlYFck6OhyOV4Tm9CItPlVkCJ62fGczstC4mafFlaandp2sGMhIYROl9bqiwPsQYUMCEwS4COmUXDjQAEdtt/i4Ut3rSgLnGV5eAAINJr2iwEKXHWJeMbbmlnxiozubo2i1xO5PQ6OhncT5Sg2+8Ra+chTtZWXaIzUamLimVq7tJFNaXW87XQMELna/FJWrE8kyX8TgjQMdlPZHKvQSZEd9t/i4Ut3jTBN/KVuMpycAAgIUe5Ij1NTY9bDG6rcxvNbaUT0bL+RnZZT2T6kdNf8jC7kkAzJEowUVlm02vmnW7JySlLTFDcZRwaRuh87SqStGKZLTC8SyVAx7ib+Ujf7OynMJLwmry9eHfz5zTSYmGLNy1kSFxlcQBgATPGUJlAF9kjrmsX8t3GCA4jeMJzXpHTn4sxf+Z2JZjnr0YkIGFKd6KypqS6upZuyckpS0xQXDmhs4fO164vSSuWq6VHnH0ToGPczW8klvZp7SNshhgx9WbNqwYu/vy9surFGFMqJK6yOACYopTwNZnAhEXmKQ20Wc1bAtOVgISpKUtU1pTU0TXj17Nu/IqSN8fucmz7qlMWXJZO0LYyN4+KKyd09tD52mmRtGJtnjEGFkWAjnE33ZFY2qe1j7AZYsTUmzXbD1xZ9Uo30SMDlMUBgLDJwpIJzEJuTiJBm9NspfDr90Q7JlFZK7prs/IV2+jNsVfoXnDRpdXdXwi97VbwhMsy48oJnT10vpa9pBVreVq4CwFFoMiOWfF6sqU/IrG0T2sfYQuuZkzE1L1mT+3Qx780Vla90k3iywBl7fAAIMRkhcghkza0ZAKHV7EdEACtA4jhQiQwXQlImOKdqKwpqaNrPpX7jD0qY/hUl1Z3fxjLiR084bLquHJCZw+dr2UvacVanhbuQkARKLJjPBXtKayuVe3T2kfQaZy9HzF1rym8hpUZV7r1hQx+baaG7vAAQIr1ZxlzdyYlXmZnJaQayAnaeEdDqWH1TcLJdNlB813iRnUJkElQeSQqurS6+xtJzg9LrGmD139GJjSM0PnaYgWyWGcceAKBGQJFdoynoj2FnZm5/rJ9WvsIvRhTI2LqXmp4DSszrnTrC/FxABDpNU1qimAZc3emsUTazuAtB3IyqU6CLOvM5K5vEr7jZ4J5Qmaco5sUbQAA63dJREFU7xEusvqcU5+xJyahu6TDEklWJy/619LrDzIBAlmsIIlJkj2BIjvGU9Gewup6TPcapBsf9eOOIzE7YxJew8qMK92kGBmgLAfvAJDg5ViCsZyaE6jU/hvZUhFOJtVJkCWV2dzzTcJvM2SDORmhLubbRYw5ID5jz+VccT1RWSuUu3FhGbvhuBhFmkysxQHchEBLoMiO8VR0tt/sIgr3NBVG6zu8hpUZV7pJsTJAWRwACBsDSzAaDErQNeK63kLDL3YnMEwkOkm4haMa4zm9CYntRTAyFQIu5ttFjDkePmPP5VxxPVFZK5Tjkg0BaTKxshGP0KgEiuyYIouO2mazyVOYCi8aFn/+XplxMcYUUomrLA4ApihprwlGrWvSDpnVkYFcE4kmvh7ayHN6z+E9ACGkDQEX8238emYg2GdsAxlj10RljWXyPGcCsjbFyrketIcjUGTHFFl0uJ4yyZTCVHjRsBh08aYJvpGvxFUWBwAjQOueCsZ1/ql6ZVZHBnJNJJr4euggz+k9h/cAhJA2BKLON9tom6lj7M4JyNoUa+clU54jAkV2DK8njrrHPkwK/eelHRYLW7xpAVXiKmuHBwBeJmuEPESOUUovT6UdvIR3HTQDuSYSTXxdo6zieU7vObwHIIS0IRB1vqMmt6HGWAj4JyDLQyz/WcmwBwJ0zB5mMd8adtt/i4Ut3rSYTImrrB0eAEiJFpwKGZoZqwzkmhwNRS7Hc3oTEpkutwJKXD8znttpWUjU5MvSUrtL0w5mJDSM0PnaUmV5iDWggAmBWQJ0zCwabgQgsNv+Wyxs8aYFdYmrLAcHAJFe02YhSImzLhnfcEs7M1aZydW1WeRyIqfX0cngfqIE3X6PWDsPcbK26hKdiUpdVCxTc5cuqim1nq+FhhE6X4tP0orlmSzhd0KAjsl+IpN7DTIhutv+Wyxs8aYJvpGvxFWWgwMACTnKFelpanrcYnBbndtobiudiJb1N7LLeiLTj5z+kofZlQSaIVGCicoym14z73RLTk5ZYoLiLuPQMELna1eRpBXLbIHhXSoBOsbdzEf6Zmc/hZGE1+TtxbubP6eRFgtbvGkhQ+IqiwMAC5gxhsoEusgecV27kO82RnAYwROe84qc/lyM+TO3K8E8fzUiAQlTuhOVNSXV1bV0S05OWWKC4soJnT10vnZ9SVqxXC094uybAB3jbn4jsbRPax9hM8SIqTdrXjVw8efvlVUvxphSIXGVxQHAFKWEr8kEJiwyT2mgzWreEpiuBCRMTVmisqakjq4Zv55141eUvDl2l2PbV52y4LJ0graVuXlUXDmhs4fO106LpBVr84wxsCgCdIy76Y7E0j6tfYTNECOm3qzZfuDKqle6iR4ZoCwOAIRNFpZMYBZycxIJ2pxmK4VfvyfaMYnKWtFdm5Wv2EZvjr1C94KLLq3u/kLobbeCJ1yWGVdO6Oyh87XsJa1Yy9PCXQgoAkV2zIrXky39EYmlfVr7CFtwNWMipu41e2qHPv6lsbLqlW4SXwYoa4cHACEmK0QOmbShJRM4vIrtgABoHUAMFyKB6UpAwhTvRGVNSR1d86ncZ+xRGcOnurS6+8NYTuzgCZdVx5UTOnvofC17SSvW8rRwFwKKQJEd46loT2F1rWqf1j6CTuPs/Yipe03hNazMuNKtL2TwazM1dIcHAFKsP8uYuzMp8TI7KyHVQE7QxjsaSg2rbxJOpssOmu8SN6pLgEyCyiNR0aXV3d9Icn5YYk0bvP4zMqFhhM7XFiuQxTrjwBMIzBAosmM8Fe0p7MzM9Zft09pH6MWYGhFT91LDa1iZcaVbX4iPA4BIr2lSUwTLmLszjSXSdgZvOZCTSXUSZFlnJnd9k/AdPxPMEzLjfI9wkdXnnPqMPTEJ3SUdlkiyOnnRv5Zef5AJEMhiBUlMkuwJFNkxnor2FFbXY7rXIN34qB93HInZGZPwGlZmXOkmxcgAZTl4B4AEL8cSjOXUnECl9t/IlopwMqlOgiypzOaebxJ+myEbzMkIdTHfLmLMAfEZey7niuuJylqh3I0Ly9gNx8Uo0mRiLQ7gJgRaAkV2jKeis/1mF1G4p6kwWt/hNazMuNJNipUByuIAQNgYWILRYFCCrhHX9RYafrE7gWEi0UnCLRzVGM/pTUhsL4KRqRBwMd8uYszx8Bl7LueK64nKWqEcl2wISJOJlY14hEYlUGTHFFl01DabTZ7CVHjRsPjz98qMizGmkEpcZXEAMEVJe00wal2Tdsisjgzkmkg08fXQRp7Tew7vAQghbQi4mG/j1zMDwT5jG8gYuyYqayyT5zkTkLUpVs71oD0cgSI7psiiw/WUSaYUpsKLhsWgizdN8I18Ja6yOAAYAVr3VDCu80/VK7M6MpBrItHE10MHeU7vObwHIIS0IRB1vtlG20wdY3dOQNamWDsvmfIcESiyY3g9cdQ99mFS6D8v7bBY2OJNC6gSV1k7PADwMlkj5CFyjFJ6eSrt4CW866AZyDWRaOLrGmUVz3N6z+E9ACGkDYGo8x01uQ01xkLAPwFZHmL5z0qGPRCgY/Ywi/nWsNv+Wyxs8abFZEpcZe3wAEBKtOBUyNDMWGUg1+RoKHI5ntObkMh0uRVQ4vqZ8dxOy0KiJl+WltpdmnYwI6FhhM7XlirLQ6wBBUwIzBKgY2bRcCMAgd3232JhizctqEtcZTk4AIj0mjYLQUqcdcn4hlvambHKTK6uzSKXEzm9jk4G9xMl6PZ7xNp5iJO1VZfoTFTqomKZmrt0UU2p9XwtNIzQ+Vp8klYsz2QJvxMCdEz2E5nca5AJ0d3232JhizdN8I18Ja6yHBwASMhRrkhPU9PjFoPb6txGc1vpRLSsv5Fd1hOZfuT0lzzMriTQDIkSTFSW2fSaeadbcnLKEhMUdxmHhhE6X7uKJK1YZgsM71IJ0DHuZj7SNzv7KYwkvCZvL97d/DmNtFjY4k0LGRJXWRwAWMCMMVQm0EX2iOvahXy3MYLDCJ7wnFfk9OdizJ+5XQnm+asRCUiY0p2orCmprq6lW3JyyhITFFdO6Oyh87XrS9KK5WrpEWffBOgYd/MbiaV9WvsImyFGTL1Z86qBiz9/r6x6McaUComrLA4ApiglfE0mMGGReUoDbVbzlsB0JSBhasoSlTUldXTN+PWsG7+i5M2xuxzbvuqUBZelE7StzM2j4soJnT10vnZaJK1Ym2eMgUURoGPcTXcklvZp7SNshhgx9WbN9gNXVr3STfTIAGVxACBssrBkArOQm5NI0OY0Wyn8+j3RjklU1oru2qx8xTZ6c+wVuhdcdGl19xdCb7sVPOGyzLhyQmcPna9lL2nFWp4W7kJAESiyY1a8nmzpj0gs7dPaR9iCqxkTMXWv2VM79PEvjZVVr3ST+DJAWTs8AAgxWSFyyKQNLZnA4VVsBwRA6wBiuBAJTFcCEqZ4JyprSuromk/lPmOPyhg+1aXV3R/GcmIHT7isOq6c0NlD52vZS1qxlqeFuxBQBIrsGE9Fewqra1X7tPYRdBpn70dM3WsKr2FlxpVufSGDX5upoTs8AJBi/VnG3J1JiZfZWQmpBnKCNt7RUGpYfZNwMl120HyXuFFdAmQSVB6Jii6t7v5GkvPDEmva4PWfkQkNI3S+tliBLNYZB55AYIZAkR3jqWhPYWdmrr9sn9Y+Qi/G1IiYupcaXsPKjCvd+kJ8HABEek2TmiJYxtydaSyRtjN4y4GcTKqTIMs6M7nrm4Tv+JlgnpAZ53uEi6w+59Rn7IlJ6C7psESS1cmL/rX0+oNMgEAWK0hikmRPoMiO8VS0p7C6HtO9BunGR/2440jMzpiE17Ay40o3KUYGKMvBOwAkeDmWYCyn5gQqtf9GtlSEk0l1EmRJZTb3fJPw2wzZYE5GqIv5dhFjDojP2HM5V1xPVNYK5W5cWMZuOC5GkSYTa3EANyHQEiiyYzwVne03u4jCPU2F0foOr2FlxpVuUqwMUBYHAMLGwBKMBoMSdI24rrfQ8IvdCQwTiU4SbuGoxnhOb0JiexGMTIWAi/l2EWOOh8/YczlXXE9U1grluGRDQJpMrGzEIzQqgSI7psiio7bZbPIUpsKLhsWfv1dmXIwxhVTiKosDgClK2muCUeuatENmdWQg10Siia+HNvKc3nN4D0AIaUPAxXwbv54ZCPYZ20DG2DVRWWOZPM+ZgKxNsXKuB+3hCBTZMUUWHa6nTDKlMBVeNCwGXbxpgm/kK3GVxQHACNC6p4JxnX+qXpnVkYFcE4kmvh46yHN6z+E9ACGkDYGo88022mbqGLtzArI2xdp5yZTniECRHcPriaPusQ+TQv95aYfFwhZvWkCVuMra4QGAl8kaIQ+RY5TSy1NpBy/hXQfNQK6JRBNf1yireJ7Tew7vAQghbQhEne+oyW2oMRYC/gnI8hDLf1Yy7IEAHbOHWcy3ht3232JhizctJlPiKmuHBwBSogWnQoZmxioDuSZHQ5HL8ZzehESmy62AEtfPjOd2WhYSNfmytNTu0rSDGQkNI3S+tlRZHmINKGBCYJYAHTOLhhsBCOy2/xYLW7xpQV3iKsvBAUCk17RZCFLirEvGN9zSzoxVZnJ1bRa5nMjpdXQyuJ8oQbffI9bOQ5ysrbpEZ6JSFxXL1Nyli2pKredroWGEztfik7RieSZL+J0QoGOyn8jkXoNMiO62/xYLW7xpgm/kK3GV5eAAQEKOckV6mpoetxjcVuc2mttKJ6Jl/Y3ssp7I9COnv+RhdiWBZkiUYKKyzKbXzDvdkpNTlpiguMs4NIzQ+dpVJGnFMltgeJdKgI5xN/ORvtnZT2Ek4TV5e/Hu5s9ppMXCFm9ayJC4yuIAwAJmjKEygS6yR1zXLuS7jREcRvCE57wipz8XY/7M7Uowz1+NSEDClO5EZU1JdXUt3ZKTU5aYoLhyQmcPna9dX5JWLFdLjzj7JkDHuJvfSCzt09pH2AwxYurNmlcNXPz5e2XVizGmVEhcZXEAMEUp4WsygQmLzFMaaLOatwSmKwEJU1OWqKwpqaNrxq9n3fgVJW+O3eXY9lWnLLgsnaBtZW4eFVdO6Oyh87XTImnF2jxjDCyKAB3jbrojsbRPax9hM8SIqTdrth+4suqVbqJHBiiLAwBhk4UlE5iF3JxEgjan2Urh1++JdkyislZ012blK7bRm2Ov0L3gokuru78Qetut4AmXZcaVEzp76Hwte0kr1vK0cBcCikCRHbPi9WRLf0RiaZ/WPsIWXM2YiKl7zZ7aoY9/aayseqWbxJcBytrhAUCIyQqRQyZtaMkEDq9iOyAAWgcQw4VIYLoSkDDFO1FZU1JH13wq9xl7VMbwqS6t7v4wlhM7eMJl1XHlhM4eOl/LXtKKtTwt3IWAIlBkx3gq2lNYXavap7WPoNM4ez9i6l5TeA0rM6506wsZ/NpMDd3hAYAU688y5u5MSrzMzkpINZATtPGOhlLD6puEk+myg+a7xI3qEiCToPJIVHRpdfc3kpwflljTBq//jExoGKHztcUKZLHOOPAEAjMEiuwYT0V7Cjszc/1l+7T2EXoxpkbE1L3U8BpWZlzp1hfi4wAg0mua1BTBMubuTGOJtJ3BWw7kZFKdBFnWmcld3yR8x88E84TMON8jXGT1Oac+Y09MQndJhyWSrE5e9K+l1x9kAgSyWEESkyR7AkV2jKeiPYXV9ZjuNUg3PurHHUdidsYkvIaVGVe6STEyQFkO3gEgwcuxBGM5NSdQqf03sqUinEyqkyBLKrO555uE32bIBnMyQl3Mt4sYc0B8xp7LueJ6orJWKHfjwjJ2w3ExijSZWIsDuAmBlkCRHeOp6Gy/2UUU7mkqjNZ3eA0rM650k2JlgLI4ABA2BpZgNBiUoGvEdb2Fhl/sTmCYSHSScAtHNcZzehMS24tgZCoEXMy3ixhzPHzGnsu54nqislYoxyUbAtJkYmUjHqFRCRTZMUUWHbXNZpOnMBVeNCz+/L0y42KMKaQSV1kcAExR0l4TjFrXpB0yqyMDuSYSTXw9tJHn9J7DewBCSBsCLubb+PXMQLDP2AYyxq6JyhrL5HnOBGRtipVzPWgPR6DIjimy6HA9ZZIphanwomEx6OJNE3wjX4mrLA4ARoDWPRWM6/xT9cqsjgzkmkg08fXQQZ7Tew7vAQghbQhEnW+20TZTx9idE5C1KdbOS6Y8RwSK7BheTxx1j32YFPrPSzssFrZ40wKqxFXWDg8AvEzWCHmIHKOUXp5KO3gJ7zpoBnJNJJr4ukZZxfOc3nN4D0AIaUMg6nxHTW5DjbEQ8E9AlodY/rOSYQ8E6Jg9zGK+Ney2/xYLW7xpMZkSV1k7PACQEi04FTI0M1YZyDU5Gopcjuf0JiQyXW4FlLh+Zjy307KQqMmXpaV2l6YdzEhoGKHztaXK8hBrQAETArME6JhZNNwIQGC3/bdY2OJNC+oSV1kODgAivabNQpASZ10yvuGWdmasMpOra7PI5UROr6OTwf1ECbr9HrF2HuJkbdUlOhOVuqhYpuYuXVRTaj1fCw0jdL4Wn6QVyzNZwu+EAB2T/UQm9xpkQnS3/bdY2OJNE3wjX4mrLAcHABJylCvS09T0uMXgtjq30dxWOhEt629kl/VEph85/SUPsysJNEOiBBOVZTa9Zt7plpycssQExV3GoWGEzteuIkkrltkCw7tUAnSMu5mP9M3OfgojCa/J24t3N39OIy0WtnjTQobEVRYHABYwYwyVCXSRPeK6diHfbYzgMIInPOcVOf25GPNnbleCef5qRAISpnQnKmtKqqtr6ZacnLLEBMWVEzp76Hzt+pK0YrlaesTZNwE6xt38RmJpn9Y+wmaIEVNv1rxq4OLP3yurXowxpULiKosDgClKCV+TCUxYZJ7SQJvVvCUwXQlImJqyRGVNSR1dM34968avKHlz7C7Htq86ZcFl6QRtK3PzqLhyQmcPna+dFkkr1uYZY2BRBOgYd9MdiaV9WvsImyFGTL1Zs/3AlVWvdBM9MkBZHAAImywsmcAs5OYkErQ5zVYKv35PtGMSlbWiuzYrX7GN3hx7he4FF11a3f2F0NtuBU+4LDOunNDZQ+dr2UtasZanhbsQUASK7JgVrydb+iMSS/u09hG24GrGREzda/bUDn38S2Nl1SvdJL4MUNYODwBCTFaIHDJpQ0smcHgV2wEB0DqAGC5EAtOVgIQp3onKmpI6uuZTuc/YozKGT3VpdfeHsZzYwRMuq44rJ3T20Pla9pJWrOVp4S4EFIEiO8ZT0Z7C6lrVPq19BJ3G2fsRU/eawmtYmXGlW1/I4NdmaugODwCkWH+WMXdnUuJldlZCqoGcoI13NJQaVt8knEyXHTTfJW5UlwCZBJVHoqJLq7u/keT8sMSaNnj9Z2RCwwidry1WIIt1xoEnEJghUGTHeCraU9iZmesv26e1j9CLMTUipu6lhtewMuNKt74QxwcAP/5UkfWvaY2baAhq6XL//N3Kefq1rOvsfse9H7089rTWTxOmut3SXh/wvz9/XgdhZ3nM3hgMTtQ0lz6Jr5tUqyqdBJlTMCl70jnArOuotyR0bpPyzxZb5zGqfpb0yK8b7uWrrrpey2RFXiT13yPWR9dVcRmpr0tu6V8HxHfOmp3TuQEG11fHnqhtJs2aVVZjWeKrkbU0dKBqpdtghDtTl7vnObkGBvVP3u9HawSv9dOE8Xhbx+kytbOaBLJYl+m4AoFLAkV2jKeiPYW9nLTzK/YvzZGE12VETN1TDK9hZcaVbn0hA5pqqN07AB6+SeRp62vde3q36cEurupyf+5K+PxlOd3Z/Y57P7oe29Q6HeTT14nrC/6X3iPnyYCXo06nL1e3t4dHuTPL4+LGKKOEcGwZ5Jn5RnYhXavwbN46725Su+ebvmqDGJR70VJJzbqO+lEtCJ3bJOWzxdZ5nE3a158zzXA6rabUBbb4qquu1zxZkUXiwVCjjhqME1NXhXh2Vl9Xd8HNC7V29Ui6ZWuCyXzskfPq/nHyvXVeVlOhfmoa9Xq3ZV42d3W5+16ZXAODZTx5vx9dSxzN1FD16lkbDjKwF1KvjKLjdBnmrPbL2+uvSJOJtX40niUTKLJjPBU9+GaXV0tFFO5pKoz4h9ewMuNKNylWBijL9wFA87Js/songm2t1bknf/oYZD+7LxgHHgs/gkzemrw4iHdmjpxHT89cz568Vc/+O/zqr53zGKzr8xuV/+oUfexthkGeSezODpgGMLZVUo+akSgBB+XqEw6c6wijpxJ0bC3Peutdp7eY9YuhIxFHJVfnNhqlnp4ttkmPBRQLtyZD2VxcXZ2+os0y7OtdXcWSRm3nLw1u77mI0YSaYDIfe+Q8ejove9Uqq4df8B2kmJfVJL4YeiGniaV3uxjn7MLq3Lo1oLu/+A1wgNRZZcNA9vFXcxqmdWNLk4nlJjJR9k6gyI4psug0OzmFqfCiYfHH/5UZF2NMzafEVZbZAcDr57v7L2+nb89V6Pr9eg/fnu7uq6/d48fv9vlL5fjtvXI63jw+vj18+3U/dOvch1/bEf9Vv4d/f6zelv/n++nUpmvdupin0/On24en/kv19O7xv8qpdT8fVb/qvn+p/lSh9Xpufhf/60eX+2ct/+fd/W/56aOL9+N3J7u739d3fLj9/K8eWI3u3FStbdweUTXk/sto56YUtv59WW1VnbD2aXt77Fz/OPKrFdHIv3j75BDDsS9XpqxReKyrV5nGoM7K6UQNv+pnrJPQAW0zKSTdhJzl6WG0rp241vmomePWbTDH57l6Us2sd/y6CWyL65/2Yuog98/V4Ie/tU9fzpBGZx874+Lr5azXvjFmvemV50/HahEZzHo7m31n6xb/Uc2sZvF3MHvq/WKsqKtvLt08bVtsah70zdrPdjcl3cx0Ctv6u6ZWccf8Bq3XOEx8e1EDq//rNXW5OgmttPOmNllAum+SbW8PqjjPtbSA+s7vp7JHunoBGb+e9TA7QyFrmfQC6rkcvA2qndr29tjZ0ffWdpXVL1XjLhlO2ajkdspXr7LdvsS6WPV1U+xslXV93v/Y0RVY/yAy+zLVr039AXWfAAMCNQHpnYJ4FFl0mvObwlR40bAYdPGmxURJXGWZHQBcf/37/P3f6bb+oeWx2qo/HB+ffx66v6IfPP/58+/z/X31u+e7T3/+fDwcPz//ODSbp1np7Yi3w7/Tn0M18lO1cW/TtWO6mKdfh+9/f3/rvpx+Xf38+/2q+jv31v18VPWz17+berfcer0d6rOC6+r8QD3qn/Z+Xj09PxyreppH51lV18ru73f1Ph1/Pn+6fle/kejcVK1tkAGiT3+eRwcASmHr35XVVtWO76trb4+c64BPV62I79e/qt1cJ78LIBjen2o67aMrQU1iPapNPAZ1Vk43evi1VbYwY62EHmiX6Vgj6a6e5elgdKK6r63zcXmOu5iDOX44y9WTqme959dNYE+om/a2iZtG+Hb48uX561U1553wIQuxZYHJNWVdznrlG2XW66VbJT5Wi8hg1tvZHHT28uI/qpkd0R1R6WH2bpeLrevzetI6t7OuGUi6XGwqob5Zx63XzUyvsK2//dLWMeY3aL3G4/LbiwDQa2pz9RKsF5Dmm2TX24Mq1i+gvvO7OTr1SOsraxeQ8DGx+m20Qta2Ryegm8s2Yve0vT1ydvW9tV1l9UvVuEvOuve8zHbKBy29vMp2+xLrYtXXaHe2yvqfooxWWb82y9zOnS8xnhkRkN4xGpa3c/96kncZe1CfQv95aYfFwhZvWkyrxFWW0QHAv8Nbk1p+Ormpnn+77fU8DJ+/H6ptZ/0D8Onhrv5fbS0/6hE3T6evXw4fp6vnU5duMKiJea1+n91+UZv5L587939XSmQ76uHby3U9fc2Wv/I6fap2P3+uPrqgtcD63sdVdb159J697P5+V991/duk4/f2AKCrrqlVxRickTR0hrc6oYNTgbqsrpw2wPBpfVsiNAyqp01ZtYirX5X8605+O76H93o4XNWf1dg+uhLkAKDNdAlKP2GnWsvsjHUSeqBdpgZJf1UqUxKb+rry26+t87EN2UXuamrnuJ9kmeOHs1w9qTpnz6+fZxXu7GkjprlyrE6lTtfVYVcvvM1+/kUW2Pn1qVk/Rpr1emtSga2lrp/1jvnqxd/9CUC3PEY81NMeZk+9vtIsxq5T+3mqJ613G3aNSLpcbIOsi83a+A1br+/A+qxw8O2l/R7Yxr3kp/v2MhBUmYuaOuQ9pFbTeVMPvjWo2MMqum8rXQiPC6jv/H6OajmNGJMFpGow/X+XvEMm7VEL6OayjTp8Wt8+d66f9j3Xf8cYCuqSnBa/t7arrB542SVz31u70NLSw5fUOtTweQO3UX/GfKh1ZNcjZr9hN75NzJZQB2pd93Rebl5i6xftzS+xJlV3yHv5bdVprrK+cc5mvJm0hVXWLY9Cf587ageemhCQ3jEZhS8E3BDYbf8tFrZ40wKsxFWW0QHA6fbmW30CLT+d1LvOv9V2vX08dM/fvz9Unz1X/aWA+umkftX6Wm+a5x/diMrt5u/d80sdtE3XDuo8XqufYapH+6X6+vX79ypd735UIttRD3fN9le8nqvNf6NTOVQC/1XvOqh+sqq1Vw/xbI4sKj1yv61Ppf7yqT0A6KpralVBBoiaV+zhrV6outiW1ZXTju+fdlWfOdeJ/zUYKhGvjfx6z3v26OG9vX4fvPuin6JmEqt3AHSZLkCdaz6L3TzplM3PmJLQA+0z1Uj6q4Mfv6vtQts3nWv7tXM+di3RF9coaaVLTJnjZg674UKqqq3np46mpD27ae/FKIf76i0p9bR2wZrMl/+bPytsNQ8m8vjc1dnG6Z92HAbOajX1qqWWMw09mKVZr7Ymdab6O4DBrLehVy/+nysWv8DsqDtfbApPB3S+WTuPvuWa7zKD6e7qH3x7+XnJT1qvSdw02vDby2C2uozzmlTKHlLXHmdN3X6PbeN2MTvXvprRN8m+T5pxThZQ/9LSTeW2BTQAZGD2ydvCzhZOB6ON1z/tYJ05O/ve2q6yOqnHVdZOf898gVlb7s/5fuuA9F2zYg1MVKdbA31D9996Pa36GkZX03TV9bfrkKuszteXL5zOVrR8a2++e9RzUP+sMZri/mlX4NLLVL88eAdARZOHCQHpHZNR+ELADYHd9t9iYYs3LcBKXGWZHQB8/Hq8uhn+CUCz9z28d4KaF6WX6vndp7+vr4c/3U8n9d7pa/UatvDoRvy5frv6+Pb1R/371jZdO6rz+K/Z8FafbFf/XF1/wt23H9Wj/r2hUndUX9pRD/dX9a/wxKv6Bci/5s8AlEP1Gvva/FKv/oVN/RDP6o2bjWy539b30qT++qDK69zOdrKyTaqDnN3qhaqfO9uyunJq7+rRP+2q7py/dlzVjwmVCPl5QQ1t/z+E90nY91PUHQB0mS5AqYxnMc+edMrmZ0xJ6IH2mWok/dUzNl3MzrX92jkfuzkeFlf9aKTmeBCzn+NmcrrhQqqZ9bp/6knsJ1CV1z/txCiH++/V7QpaF0w5G/y/1dxNZLVAjn+6Otsw/dMu9cBZrSYns161ep2p/g5gMOutfunsevHXi7199J3ViW8PAJYWv8DsqDtfbEpdp2m+WTuPvuVmvr0MW+94yU/37aWjVX3tMs5rUrl6SF17nDX1+TeXJmZ15Nm59tWMvkkOq+i7YNDbGxZQ/U6P5tFNZV+gowXUxZ/62r+utYWdLZwORjuwf9pNwJlzzdPlKqu3fJFXWVt3W+5xvt86IH3XrFgDE9Xp1kDf0P23Xk+rvi68q2m66rpvNq6y6hty10k9L+0qq/NJ+RtWWf9KbrTK+uXBAUDdEzwMCEjvGAzCNSUC87+VSknljJbd9t9iYYs3Z0ituSxxlWV2AFBl+Lj9dmr2QnfVhvmh2j6djld94ub5r6tT/Xfh1a9YDQ4A+hHvh2pP9vf24bsKWqdTj4FHFbd+b2nzpf/aeNXuVWEyqvoR4+Wq6v/Ou/L6efet/1m1+en5o/7l6ummPQAQz+4lVu639akL1Wf7NVuczu1sJyuIJg4Aqmy1wubnzq4sSdsU0j3tbvfOx45rL+KjAXHxGQBtkibap3qe1KObIjWJ1agu0wUo9WNxN+7ia69sdsbqIVWdXYJBpupGf3WIbRDzbHI75+YbWTu5l3M8iNnPcTM53XAhVdXW8+t/Cm1L7OazF3O+f+mCtd5GX0azfvwzCtY97VOftUjdbr1qqWWsoAczO+vV0q0z1d8BzGa9Di2dXTdVtdi7R9dZvXg1sx3Ozu3sa1dwLaS6UR0SqgLrxahbbE0zNNFE0vRiO8k3pNlm7VW3kjpl3dcmUYu2J1wdAJh+e5HyBxlnvuXVvlWuXkJnnDW1+ibUhlUxj3/6pdAO6UY2buMq+i7oRw2+SZ7lkqaLtIDaMi+/yOuaxffW/jVrZ6tM4er67eh2DfTdM+ix/ttvk7nvlcmX2J9mq16mXr/qa9+u6qq3p1ZZ2zdbVln1HbQref0qq/N1owKuMlkeYglJLAjME6Bj5tmY3pGfWUxHWvnbT2Ek4XXV9uKt2PkbvFjY4k0LTRJXWUYHAG/V+//fb36evt28Vx8iVv+MXr0Ivh27LXr7/OZb9VP80+mjvnn6ev9eveO+/eF+QbeMuDv8qMYfXqrX7jadGiYen2+qd8W9nNov6uvr3879rSqsFtk+qtz/XX8/9V7162/9h53do95iPd69n57qeppHE7eKJ7L7+029VX2fb99Ov+u3EdSj++qaWtsgguhyT9LV1fj3ZXXlDFW8CMnO+ai4Vol7EV9uXt6+9h9h0I7vkjz9q37DUU1H9+hKUJNYj2oTX4AaltONHnzthZ/mZqyT0AOVTFWc/uogj8RsXTtxnXMbsovcyumkS8x+jpvJ6a/3pOp56/l1E9j2TPdUxDRXmp83619/d1oGLNaYneZuIqsFUv2mtquzjdA+7VMPnOvV5GjW61avMv2sFlFV2vnyGMzGeVWdfunsevFXi6F7dJ3Vi1+z+HuYHXVZjF28fp5Gi+340WUWSZeLTfmIprlmFY92Dtov/XRPtV59ADDip/320omWpe18AVUHAH1jDasZfJM8+9baV9EXK1U089JfX15AbWndVArS5ortAurBTRnd61rXpecLp5vLdmT7tNd37ux4lR0TWGVN3V25x9l+6zz67um4NV+13dN5mb3EHpv3Bjp+iZUWkZomV37VN13L9PLbqs87X30zU3ElZuvarbYuxNT3iuYHhf/qTzXoV1O4VdYtjx3/OC1TjuWUgPSO07BFBovE0j6tfYTN8x0x9WbNqwb2e9Qp75VVL8ZYjqsyGB0AvF4fjofHj9P77eHqsX7L/MOXu+pS/4O4ev5QPX86HK9+1n98/+/+6vDa/UQ4Jai71o/4Vm+s76+q61261qX3+Hg8XB+q3xWqL6ePL4frq+tfnfvrUYlsR9W5X6+rM4nWq7r8WT4CUG3h3+4O1w/dnwCIZy+7v9/UW9X3fl+lrNmf7UmaWtu0guhyT9LVpfy7srpy2gDd0+72uXOduBfx8fnq+ttjk6cdXH3pktwfDofus5zqu10JMoltpgtQw3IkrlidstPcjHUSevSDTNXv6boJGebpY3blt1875zZkF7kV00mXmP0cN3PYX+9J1fPW8+vmuV1z3VNp4uZKv3/ptAiJVVan+XwiuzrbEN3TjsO5c9RZ7/RLZ9eLv17s7aPvrE78msXfw+ypr15sR/VZIFV2kXS52Fpxvaa5ZpXZ7lpu5tvL9eDbS3MAYPjtpcM1+CY5p6lD3kNqpTWs+qZWmId11gcAXSd11Yy+SQ6rUGeY9TdJiblpAbUa+qnsoa9eQMavZx3N7vWyQ3a+cBoI8ravjk2n79zZ8So7Vi9Vdf1nL0IqYyP+vOROv7S0i1WmKLXlHme/YW9aA9I9fZsavcSqA4DVq776caKdc0E0u+prz26Sp6uu+qZD3stv20O3yuofb7pOar92IdqQXeRWcB3wGGeVdcuDA4B2LviymoD0zuohOM4QiMTSPq19hBki+ssRU+vFefNYWfVKN5EpA5RldABQnZa/vjex/r11If/9k5D1Dzr/1J8Nfrx+dB4rv06N6NKpEOLx/trkb7+cPtTTVt3xfFSfvvNSH5bTX26MVnV7sffsndr7Ut+btj5B1EfpjTOFfVldOa1b+7S/3Vz+GBy3VPUK5OqjnUePNskoauXUFdsrHLlclj+K3D49V6YunlXWt0sf8SxTf3UQXmJ2ru3XzrlNcJ5HAnRuzR+ky+W+RapLQmrIr7oxaGQ1UsQMIlVml+T8qvbZmeY+dldnO7wvV6a2Tjh4NlQttXTZ2ySjqNVd+1nv9Pd908dsksviOJPbCZv7eglz5WIbTpdImk8zQNg6dQWpp6K6hdcx7BS27oNRQwmdl/7bSy9RMvaX+iWjrnS5+uCdpuZ2f1WGN62iZHWu7dfO+bKKwWjp7S0L6CxQ/WSqQHW9f/04HzMEen5H80y20R2yZkAvoIIwjN0zGTZF71wPdbbKjmeldrMg5QxlqcSXL7Hi7eAl9jzhGa7BhLWE2i/VDVXGcvd0Xvo10Hv233VXrvoBipN+1dfeZ9PaDu+rbmB0z3pRXdWNd3+1HVt/kZida/u1c57j1MLv3EKtMplzsQblYEJglkCRHSOvJ7NcttyIxNI+rX2ELbiaMRFT95o9tUMf/9JYWfVKN4kvA5RleAAggcSSkM1vOuRGJEszWf9+tZ8euEFefYbfPDQ5NoReO2RAuxvy36/X/z5fD3+U7e6U+nVujpdJTaBNGOByLRGE94vDUW5dvASma0LCXOs5grIqzISsVePEaa4K301nr1xqGFubYtsXrEuruz8qQ7cqRu4TTw0TTkTQXZrrnslxIzn29U1mmbs4yj7n5uz6Wb45TvZNN9YracUa+/AcAlMEiuwYT0V7Cjs1bcNr9mntIwz1GNkRU/c6w2tYmXGlW19If97e/b7TyQHA26N6vD3+kEyurD64UcD5UXc3v6pI8/eX0vT1zXHfFnaQUhtgIvPrw83No3rjxSDSuamNe+5u9cw8l/mIWuD8KDXHl0UskXp7PDZdfPYLu8sQuiubjobmK5lPt1RLN2pL3G7s2q99jn5xtCM3kRhkHccb3GrMY595fMfk+bYg7ai7y2ax+fbS6TbXdD5i4ntEF/rs6/mo4a1tC6h9FRgGMrTXKjcM27hv6hf7VaYrSXdfldpPlW5V6Mlcrss+uH7wwGN+lNEaGNWvrW8+7UDbGrMJdPf4eLmG50ZvS3026gx+uFUmkMWaq5LrEBgSKLJjPBXtKexwuqZs+7T2EaZ0rboWMXWvL7yGlRlXuvWF+DgA+Hn6eFYPL7+E3hZcN0p3X4hNWnPcLcNW7y3UoTz7CWJS2+RFbdzJUdsumucyH1Er2zZqrqaP52PD3rKJ5zpjLm1z3W0lkspXXMmwMAubSAwja+yjk+q2BdGN0t1fLs189PmItd8jzkcta9Lf/aH71qUPMXh5WuFs6OKmXyaSLmPUTca6ZbKcY0KUyaVtwXWjdPdbhevql3JWhpUBc5Z5IPMRde5to9ypriMJZLHmMnAdAkMCRXaMp6I9hR1O15Stew2aGnN+LZLwWkTE1D2D8BpWZlzp1hcyoKmGOngHgAQvxzLmnh4aecuAWOmpPFdk/43sPF7/rEHQTKotjB10Rk/FzvBNwlsz2JVd4mhny8dnz/iMbTHpicqyqMhsKMvYjNcmb2kysTYFYlBxBIrsGE9FZ/vNLqJwT1NhtI7Da1iZcaWbFCsDlMUBgLAxsASjwaC0XH9V/9DiqV7XL7/SEragxht2dzBMJEb8rlpD9pzehMTCnHMrfQLN8qnn2/Z7ic+e8RnbYooSlWVREUOTIyBNJlZyIhGUJIEiO6bIopNsv8HvrOPp89IOiz9/r8y4GGOKl8RVFgcAU5S01wSj1jVVh/fb5+btNS836lOnU9U51OUN+/tNfRxyOv2+tYVhItHEd4jBke05vefwjiAQxgGB99tq+VTz/Wy7fIxfzwzE+4xtIGPsmqissUye50xAvheLlXM9aA9HoMiOKbLocD1lkimFqfCiYTHo4k0TfCNfiassDgBGgNY9FYzr/FP0+nZ8rn5ofzl+TVHctCZ/2D8dmzdEHLt/5mE6/4qrJhJNfFekNnXxnN5zeNNq8fdI4FN1gHY8/bZfPls1so3eSo5xBRCQ78ViFVA2JTogUGTH8HrioHPchEih/7y0w2JhizctwEpcZe3wAMDLZI2Qh8gxSun86b/j8fn4cjza/tW7c2HzAaV753223Xk9VluYnw5gmEg08d1W1uIoz+k9h18sjZthCfxXLZ/jbwfLZ6tsmm0rOcYVQECWh1gFlE2JDgjQMQ4gEmIzgd3232Jhizc3sxx+pKLKYHcAIHtHsSzEWQ919mFUC0qkUrEW3B3eknxi2YT/fHN8vDl+sgkRbmxTctOzboofK7873nw9PnweXzZ+vvJoyHc5Gt2e0zfhGxKNpRFjfluiimUexWqE7xI3ihMeYm0MZTTs7nj76Xj/2WiMS+fl10thIZbL7DOxJJlYM65hLjcyPK5LwyqEiliGISzco8BY+fJgUdbkUFkeYk06chECIwJ0zAgIT4MS2G3/LRa2eNOCv8RVlt0BgLvPTrMoaTDU2YdRDWKOzSZHfdH2A6/GgbXPXdN+uT0e6198Z/HwPbV/KhbH+2AwfJejmVPP6ZvwtQRPa8R3fA29+rZngisUTLo0supdhifyk0mri7+PNyGXz4UMeV27uFVdiNQv9pPx75ftZ5Kc4UisaSNNS4skCozlPj2brPaJkxaQtGJNJeMaBMYE6JgxkeyeRzp2dMNpt/23WNjiTQuwEldZdgcA3Yc/vdh++JNFRcOhIfQ0Oaqk4Wt2Xt199UP73ZBfwnZTfPWNzBv2isXjQzAAzufSTLnn9E34SpGvyfLeDHqangnqBUx7RJNVLZ9P4ZbPRfHyunZxq7rgux+ncnZpK2UWy+Dl5vF1JvqGy9G6Y1prI8fn9/TptO3VKDCW+3RS78vtJ+tzaUkr1mQyLkJgRICOGQGxeBppJ24/hZGE16jtxVtMmM+hi4Ut3rRQJXGVZXcAcHpsPvzpJd6HP41QfFF6br6Mrrt8+rn5pXmMml3T/l297/23SzQ+Y3091j8Gvdx89pSk+gCATwFh1HP5s/oIRutPHdyGo27iOr2nT4D8qtaIt8kKsc41YBOQMKXwW7VMqo/29EZ+Kmd97UfY5TOWIa9r4zvN83q1Vd88Qq+2+nuW5WRUH9JyX/1zLY4esbpjRn5cOfX3wPpTcEN+C9b06SSnl5vj7a/JO6svSlqxVg/GsWgCdIy76Y/E0j6tfYTNECOm3qx51cDFQ5WVVS/GmFIhcZVleQDwq/7wp4Q+SO5fo+fG6wfb/a3fNl+9KIf/u8XqfbZuad8eb6aaJMlr9dTW2P/zpe54f+sr9ETcei6rHz4jdFEjpv7UNo9N3E2Ww99enjEMsc7PEl4+SUDCpajTqZP1d+qmz2vHOwfLx/j1rKtIXte6K2df69X2M/xq6yZj6XuWruRK9fH26aya7U86QcG7Y1pyXDn1C/kx8Au5pk+nMb3c3Bxvvn1M31x1VdKKtWogTsUToGPctUAklvZp7SNshhgx9WbN9gNXVr3STfTIAGVZHgCcbu5vH29uHl+GD5tXKlG62voY5r4/3j7eHv2+F/X27vbnzfFB0voo+KyqlzaDom39O/A+9rfj15cu9mrezh17OQ3RWZiPx5un21sff7KgBDwevy0LcFt4NZdPN+Nf1K5EsUnJeey72yr98XFTpPNB53Hb6fvkcLKmEjzcVOv8xu86V2VOZW/uhJNwzvvy2ZnEh+PNY/Ud6tLL45VawKd2+Vh9Q5GXJ0O1um302XfOM16Ov/+dx66WwaPme5a25GqLWj2+/pXXGwvE1TfRDd1xXtTsd2jDOavcF+R4yykqq2VSfQru2u+BTgRpZ1vUDayX27uqBR7/bG4BSSvWID4mBGYJFNkxuteTWVrLNyKxtE9rH2EZzMLdiKl7VdIOTl4F+rjzxsqqV7pJHhmgLNsDgO/HLzfHu6f6R5T+Ub/bMuCj/hXJ4HFTHZf7/QXHr+On5meyPqmPgs+rajN8P1af3H9nnW4ydsAZG6VaKaf6Qfjm4ejjXforBYxkWz5VK2c0lz6VnMf+cXyoeI7SbyrpPG4bsZ6s++OfTQHHg6YS/D3e3tx6XudKx1T25k44CWMg4+fnEivyn46ufmU8TjX9/FyARVPJy9N0os1Xz75zOpM7Iec8dnXGpvue1byKtD9gVH+GVD9Gzz5Xlz41N/r/bUZcffBr1R2/JoQvXTovanPyyxQLcrzlFBXNC/nt2nKcCBrPrRIzPe+De4/VzNcf2Tt4rJXdRJF1JZZwwILAPIEiO8ZT0Z7Czk+eumOf1j6CTuPs/Yipe02iwcmrQB933pCM8z7VnZVuEkMGKMv2AOCjekm6uX85Pv3tHk/N32pLRu/WefL6ZdL3r7/q7f9tV+9fPwWfV9W+2je0H6yJSuwnT+qNJIqcv4ty7uteM4q80rkV0PSw7WzKWaEmuVo5I6e1KEbDVj0dxa6b+H7VQI3TKG7rXf/KytFkTSYIsc6bUiazN3eCSdBMQPWXJMNvvw7J6xJ39xsBrQarBSQvT11oV1/rduy+c57zMtpJaeWMYjv4nvXtePPl8fbb2Rxv17xJ0KgoLYT1DvNy/OUUdUbfA0MIEmln1nP1rfrBpgVkXYl1loEnEJghUGTHeCraU9iZmesv26e1j9CLMTUipu6lioZQrwKSsRcxZax0k6EyQFm2BwCn6tcTd79fjn8/usff8AcAw+Tfq5/0fkm9XqxvVY7vXb0ffgqeRlrRvrf/Hfh0bC+o1gRdK+d39fPa9zUBTX3WClgTVxaYzntqLl0qGecfxa4+tc3NJ0CO4rZp68lafRgylnr+fDLBrwDrvJExmb25E0zCOY7LZ+cSf1QHE98unXxeORewfXdqfqC9uqrhanMmdyL7KHa9DH5MuK2/9O34cP/wuzrkGb7KbUf8e0t3uEp+WfW8HH85RUX1Qn67+uU0hCCRNrSej3d3di0gr0piDTNgQ2COQJEd46loT2Hnpq67bv+DWCThdQERU3f8BhpCvQqsrHqlW1/IoBI11PoA4K3+hXsoKlLHwBolr950Objpxax/efsc5QCgoW1d04iYdTzLAKvlVD9MW6aaHr5awPTws6vrFU7NpUslZ7KqJ+PYrt4pM47b5nU3WdMJAqzzppLp7M2tUBJaorNfRhKrLZ7DP9OezTq4MRIwuGNorl89hoFPw9XmTO6EiHHsajImvNZfqv667nO93R/HXR9h5LmlO5wlH2mpns7K8ZizV1G9kK9/t2AIQb2yofHXvgWkB8UapsCGwByBIjvGU9H2O/G5WfJ8PaJwT1NhBEw0hHoVkIyLQle6SQwZoCzrA4DTQ/WLvlBUpI6BNUr+3c9viQcJT/XbHtz8PuYs6tmTUVXdvZq29WMmtnXcjQFWy/l59PPPO64WsKJAWWBa54m5dKlknH8c+4uLVqqSjOO2eX86+ycGpxOEWOd1KdPZmyJDSWiJzn4ZSfy5+nPNZiMa3hgJMBw9cDdYPYNRq8zBanMmdyLxOLbl96yX22/qX5sZx51Ive7Sz6P5h8g6S34pcVaOx5yi4rPB98AggkRab7loAVlXYvUJMCCwQKDIjimy6IUmiHjrLvw/t3ZRrbSDw1eBpZ3cv5Ufdr4U46KK+oJUoiz7A4CXm/elH5InVTi9OJqS90qP78e/6nMGo7wDoPqX2xxUNyLmm5Yu/mo57zdvulib7q8WsCK6LDCt88RculQyzj+O/eailaok47htXnfrcDqBu/hjUOfPp7M3PqEknAu6fDaS+H4T+iVzJOBS4dorxq9nawNXbSrt7kzuRPZxbLvvWf9+dd/ux3EnUq+7tKU7nCW/lDgrx2NOUfFPmkIuzlhBBF3mdtIC8qok1mUqrkDgkkCRHVNk0Zdzn8KVH18Dv59xomj5ucThq8BCj318tfu7wYkS2kuSVFkWBwD/PVTvhO8ew/1wdy3Y1xjJ/ef0mcFn7A3THl3OtICHpX+/e2aNyQKbcRhcbsMHW0jTVW6Yr9EQX3H7NN4T9JmmjLjZpxRdXIsucVrAlgU0WB8GprxCzw36r/68ue4xLbe7a/fVV2xfcVdVGyN5jJyLMKILmhawYpXJq5JYcwuF6xAYEiiyY/SvJ0NE2D4JfK3+mjShx/Q3YccC/bzVuZolWc3KsjgAeHjuZ93hsUgfc7URI7n/nD4z+Iy9etrEMbqcOQHPDyJyrSULbO2IU6CFNFflap0zjr7i9um8J+gzTRlxs08purgWXeKcgC0L6KK6VRf0y45VtgrkpNPc/E46O7oYI+ei9OiC5gSsWGWyPMRaLJabEGgJ0DG0AgQ6AnPfhLv7Bl+jLCxJqiyLAwAJNfcuYAMYFq4Op2S1Cv85fWbwGXs1QnGMLmdWwKDFRe6yteHoeJBlVsly0lV3fcX2FbcvynuCPtOUETf7lKKLa9ElzgoYtPaFaqcX9IkGHrNyHUjyFdtX3FUlx0geI+cijOiCZgUMWnumAvEQa8aVyxA4I0DHnOHgSdEEZr8Jm1OJsrAkqbI4ADCfuGqEwzaYye8zg8/YM+UsXY4uZ1aArJYl/bb3BllmldjmqMb7iu0rbl+y9wR9pikjbvYpRRfXokucFTBo7QvVTi/oEw08ZuU6kOQrtq+4q0qOkTxGzkUY0QXNChi09kwF4iHWjCuXIXBGgI45w5Hjkw2/lcqxzBCaZ78JmyePsrAkqbI4ADCfuGqEwzaYye8zg8/YM+UsXY4uZ1aArJYl/bb3BllmldjmqMb7iu0rbl+y9wR9pikjbvYpRRfXokucFTBo7QvVTi/oEw08ZuU6kOQrtq+4q0qOkTxGzkUY0QXNChi09kwF4iHWjCuXIXBGgI45w2H1JNJO3H4KIwm3gu1l8Ow3YfNs9rNintPlZwAM9L8cn/52j6dj/c8WB3zESO4/p88MPmNvmPjocs4FtB/nURcyaPENda0dMshyrsTtQvIV21fcHp/3BH2mKSNu9ilFF9eiSzwXEHwBVUAGa+gCj7ow8DiXyyqbISaXfQKTLOdWjJznCkbPogs6F2C0yqT5xRqVx1MITBKgYyaxbLoYiaV9WvsIm3ilN6j9Jvy13u5abnVdHKoYx5CJVJardwAMPwTR7U9U2h54GeYOdPrgP6fPDD5ja6fr0iG6nCkBzfKQ1XKp2t2VQZYpJa4S+YrtK25ft/cEfaYpI272KUUX16JLnBKwaQEZv551LAZrqLs0+jrwmJI78t781FdsX3FXFRojeYycizCiC5oSsHKVSfOLtVgsNyHQEqBj3LVCJJb2ae0juIMYNdLUN+GIgoznRQYoy80BwMfL8BH4n22Mkdx/Tp8ZfMbesBiiy6kENIdIqolV+zbLQ1bLhrJWDxlk8YnCV2xfcXt+3hP0maaMuNmnFF1ciy6xEuBmAQ2WwkWVixf0JweD0D55+YrtK+4i1e5mjOQxcnb1Tn6NLqgSsHWVSfOLNVkkFyEwIlBkx+hfT0aU1j2NxNI+rX2EdYCS92pfBY7DvUJE0cbzIgOU5eYAICIBUkPAAYFj9SZiWRtVwObJ2RUHWaZDhMkynZurEHBCwM0C8rgUPIZ2ApAgENAS2LrKpPnF0ibDAQIVgSI7xlPRnsLq+tQ+rX0Enca87s/zePoVspJ5HTMqZICyOACYAcXlogg0v1oZVtwsD1ktw1uL9oaj4w1ZFiVwEwLBCbhZQB6XgsfQwWGTsFACW1eZNL9YhSKkbEMCRXaMp6I9hdXNqH1a+wg6jXndn+fx+UvISuZ1zKiQAcriAGAGFJcLIyAroym8eTq6toZImCFrlOADgZAERp2/aQGNYriU7zG0S5nEgsASgVEbr1xlMkqspSzcg0BHoMiO8VS0p7DdVM193fBbqVGoSMJHKtJ5Os+DA4B0ZgklEFhJYOuvVi7Cz39nuHDtLmwY0g3lKwTSIOBmAXlcCh5DpzEDqNg/ga2rTJpfrP3TokIXBIrsGE9F2+/EXczohhjZCt9Qaz/k+dPtw9Pp9OP30331a/1fD7ef/zXP7u5/Vf1RXa6M2vn5093jf7Xx8+7+NwcANQkeEMiKwNY/rrwocsMrx4YhF2m5AIGoBNwsII9LwWPoqOBJXhCBratMml+sgrBRqgWBIjumyKItmmSPQ38dvv/9/e10ejh++vN8err6+fzp+r169vj88/C5vlwbv6uTgauff79fvVb7/6un54fj6j8BcHGoYhxDGltZ/AnAHluXmkwJbP3VykUeWWAXt+YubBgyF4rrEIhDwM0CMn49W18sq2w9KzwTJbB1lUnzi5VoichKjECRHVNk0Yk1Xmw51z+Ugofb+ut1/bPJ8fvp4ab6+q261BvX1bsETl+qI4Ha+LhafQAQpcckqbI4AKgmjwcExh922ywPWS2rAYUZsloOjhAIRGDU+VsX0Da1+pODkbxtaRgFgbgERm28cpXJKLHi1kH2XAgU2TH615Ncpg+dGwm8Hqpf6tePh6/V//41z758Oj3UG/y/h4/eeD18/f79e3VK8O9Q/YWAulx91T+iLCxJqiwOAPQTlZ3H6+8/b9mJji24+eXK4H+1Hlktq9WFGbJaDo5bCbz999/71rFFjhusnf4XlRtWwzZ2+kR6j22ZGWVB4N/z77+sMhOA21aZNL9YJlnxLZcAHVPu3Jdc+X/Nfr4i8FD9GcDptXn29UEdB7wcqr8FqM8FKuO/w7cf1eOpcql3XY+8A6CiwMOMwI/bT2YDzrxHox8P1YMjzDNE255seO3bwH1Dlm3l7HzUaBkYVns++s81a8gQ4JR7sNbWJ9J7TBXAtTGB83Uyvqt7fj76vn6lutrwLVOXpqz7+tYWD7HKYkS1WwnQMVvJMS5nAu+HP0p+cwDwcXiunlUfBvjwUH39dVWdC7RG76dcbjgAyHnWI2n/cqj/smTr43z0t8Ph++dD069bAzJOEQjz2hcmy/7n9HwZmNZ7Pvrp+IlDNFOEl/7BWlufSO9xKZ8rlwTO18nl/eUr56Nv7n78qE7amk9QXh7H3QUC+tYWD7EWAnILAj0BOqZHkavBEeuWmft8U/0NwEv7DoDT59u30+/qpeqhOhd4u6k/G7AzGr/Xv9Uv/+/eT08HDgC2wC50zOuXu7uHb+/fbg5Xj48vp1+P97f33+v3RP64e/jz67F+78nzY3upQ1RduPta/bXJl8fqEyifHr+futHK4ePqUL035fZQn0/xsCMQ5rUvTBY7EimP9rCIqnI/OACwn/Rgra1PpPewL3fPEXyssnrn/+dwqD9Eicd2AvrWFg+xtudjZEkE6Bh3sx1pJ24/hZGEuyO/IdLH4+H6UL0zu3kHwOn9/nBdv1nt4cvd9eHhY2B8fKnuXP86nd7uDtcP/AnABtSlDnm/Phxvrw6vt/VbIQ+/Tg9Xt5V5dzp9rZ8f67cF/Dgcbq4PN/KHktWFq8Ph+vV0fajOBx4r7260ovjfof6nKT4frkqF6rBu+2+ca8SEybJGSZY+PhZRBYIDAAfdEKy19Yn0Hg7q3W8IT6usOQCo31zJYzsBfWuLh1jb8zGyJAJ0jLvZjsTSPq19BHcQw0V6f63/qr97vL1W2/76OODfv1N9EtAYzc2Pzq+6s/7h4lDFOIZMpLL4EMD1E+be8+VwVfXUy/v758PN29vHqf6NyHP1lsi3w+Hx9HpVHQBU1o9T9cPX9y55c+tffTLVHwB0o5VLNb76gao6Qai7lYcVAVktVmE0g8Nk0YjI97aPRVTR4ADAQUuYtrbx61mnUZ9I79HF4usEAU+r7PR+e7ifSMclAwL61hYPsQwS4FowATrG3eRHYmmf1j6CO4hxI6n3A1Q8lBFXjPnHlMtEKosDgJgzWO3mr++/Vn890v5p5H+PN8fqbyL/VJv46m9PHqsDgOoNkp8eH6/lh6TqQnXrS/UL/v4AoButKuEAwN2MympxF/MyUpgsl3l3csXHIqrQcADgoD9MW9vUv5eoPznYHLrPUbThaZX9uzncyrvbiia8vXh9a4uHWNvzMbIkAkV2jP71ZFMLRGJpn9Y+wiZeCQ56/FGLqngoI7JC43mRAcriACDqDP59qN7OX32YhDoAeLs63H79Ur2Fv9rlV28GqA8Afld/AVA/HjuZ1YXqVvULfnUA8Kn+g4GzT1Z6rf+WoBp73Y3g62YCslo2h1gxMEyWFUIydfGwiCoSHAA4aAfT1jb1N5DoMbSBinxdvayy/6qjbfb/tk2hb23xEMs2K+PLIFBkx3gq2lNYXSPap7WPoNOY1/1UeBjrkAHK4gAgduO93VafG/n1UE9Hte9/q/8E4Pe/Q/X3/dUb/29O1V/0138h+dH/LUp1ofrMpLvD7emm+jOByqc6AFCju0KuD59PH8fqJg9bArJaVkfacHS8IctqOYU4Ol9EHAA46RzT1jb1NxDpMbSBiqxdna+y56vqtYqHLQF9a4uHWLZZGV8GgSI7xlPRnsLqGtE+rX0Enca87qfCw1iHDFAWBwAxG+/1+PVn9e8gfa/+8YjD3f3bS/Wn/z+O9Yf4PVa/+L+qPwOg+scmrr/9+HIt+8r7w9WX6t9P/lV9zt/hoXKuDgDU6K6Q6tmnO/5tpQ6HzVdZLaujhBmyWk4Bjl4W0XP9aZzHW7Yndg1kuhpM/Q3UeQxtoCJbVy+rrHr5uqoezZsqsyUTX7i+tcVDrPi6UZADgSI7xlPRnsLq2kh2DzrPufuRhM/JiX49FR7GOmSAsjgAiNlLbzfVHwAcHj9OH9Wf+R9eT9+qH4iq/fvv0/vnq+vvj9Wv+SurdrmrPiegfbxXhwOH6+pdANWfTx4+1/8KQDe68/hR/VnBsX7fAA9LArJaVgcKM2S1nAIcvSyi6i9t6ke1uHhYEDBdDab+BtI8hjZQka2rl1VWHQDUj+pfs+FhQUDf2uIhlkVChhZEoMiO8VS0/U48UuNlK9wTL0/9YazWWIcMUBYHAMbMnQ54f23+bYku5nv7rH7Hf/U2/uYXkB+v/84/0L+6oPz/9X8Y0I1XX3uH88s8MyUgq2X1yDBDVsspwtHLIiqCnO8iTVeDqb+Bfo+hDVRk7MoqS3Xy9K0tHmKlWg260iJQZMcUWXRafZe0GhcHIlFiSGMriwOAJPvs5/Hx8/Fw9ZqkuHJEyWpZXXOYIavllOzIIoo++6arwcVr4kzRplJmwnB5RIBVNgIS/qm+tcVDrPA6yZgjgSI7psiic+zOjDVH6TFJqiwOAJLsoL93V4frx7P9v3q35MV8iXytg7hirSMgq2Wdf+UVZshqOSU7soiiz/6G1bBNs/7kIJiUbQVkO4pVFn3q9K0tHmJFl42ALAgU2TH615Ms5g6RCROIsrAkqbIuNpTioEO33lMXifsrCDyrx7yn1mF+KHemCWxo8TBDpuVyVUdAu0a0DroM3B8S2LAahsPX2/pEeo/12fBcJKBdRFqHxfDcHBHQt7Z4iDUKwlMITBKgYyaxcBECdgSiLCxJqiwOAOwmkdF7JiCrZXWVG46ON2RZLQdHCEQkEKy19Yn0HhE5kRoC2wnoW1s8xNqej5ElEaBjSpptag1GIMrCkqTK4gAg2HyTKDsCslp8Sg+TxWcFxIbAJIFgra1PpPeYrICLEEidgL61xUOs1KtCXxoE6Jg05sFCxYbfSllkY+g6AlEWliRVFgcA6yYLrxIJyGrxWX2YLD4rIDYEJgkEa219Ir3HZAVchEDqBPStLR5ipV4V+tIgQMe4m4dIO3H7KYwk3B35BCPZz8qGoiSpsjgA2ACRIYUQkNXis+AwWXxWQGwITBII1tr6RHqPyQq4CIHUCehbWzzESr0q9KVBgI5xNw+RWNqntY/gDmIKkVwciESJIROpLA4AUmgnNKRJQFaLT31hsvisgNgQmCRg2tqbXxP1ifQekxVwEQKpE9C3tniIlXpV6EuDAB3jbh4isbRPax/BHcQUIqXCw1iHDFAWBwAptBMa0iQgq8WnvjBZfFZAbAhMEjBtbVP/Pqn+5GBz6D4HBgSSJKBvbfEQK8lSEJUcgSI7Rv96smmeIrG0T2sfYROvZAelwsNYhwxQFgcAyfYYwqITkNXiU0qYLD4rIDYEJgmYtrap/2TS6YseQ08n5CoEwhDQt7Z4iBVGG1lyJ1Bkx3gq2lNYXYvZp7WPoNOY1/1UeBjrkAHK4gAgr8ZDbUgCslpWZ91wdLwhy2o5OEIgIgHT1jb1NyjNY2gDFbhCwDkBfWuLh1jOZRBwlwSK7BhPRXsKq+s7+7T2EXQa87qfCg9jHTJAWRwA5NV4qA1JQFbL6qxhhqyWgyMEIhIwXQ2m/galeQxtoAJXCDgnoG9t8RDLuQwC7pJAkR3jqWhPYXV9t+G3UqOQkYSPVKTzNBUexjpkgLI4AEinqVCSGgFZLauVhRmyWg6OEIhIwHQ1mPoblOYxtIEKXCHgnIC+tcVDLOcyCLhLAkV2jKei7XfikVosW+GeeHnqD2O1xjpkgLI4ADBmzoBiCMhqWV1ymCGr5eAIgYgETFeDqb9BaR5DG6jAFQLOCehbWzzEci6DgLskUGTHFFn0LtvXT1EuDkSixJDGVhYHAH4ahKh7ICCrZXU1YYasloMjBCISMF0NLl4TZ8o1lTIThssQSI2AvrXFQ6zUqkBPmgSK7Jgii06z/3arKkqPSVJlcQCw2/6iMGsCslpWhwozZLUcHCEQkcCG1bBNrf7kIJiUbQUwCgJbCehbWzzE2pqNcWURKLJj9K8nZTUB1bonEGVhSVJlcQDgfmKJuBcCslpWVxRmyGo5OEIgIoENq2GbWn0ivce2zIyCQGQC+tYWD7EiiyZ9JgTomEwmCpl5EYiysCSpsjgAyKtpUBuSgKyW1Vk3HB1vyLJaDo4QiEggWGvrE+k9InIiNQS2E9C3tniItT0fI0siQMeUNNvUGoxAlIUlSZXFAUCw+SZRdgRktfiUHiaLzwqIDYFJAsFaW59I7zFZARchkDoBfWuLh1ipV4W+NAjQMWnMg4WKDb+VssjG0HUEoiwsSaosDgDWTRZeJRKQ1eKz+jBZfFZAbAhMEgjW2vpEeo/JCrgIgdQJ6FtbPMRKvSr0pUGAjnE3D5F24vZTGEm4O/IJRrKflQ1FSVJlcQCwASJDCiEgq8VnwWGy+KyA2BCYJBCstfWJ9B6TFXARAqkT0Le2eIiVelXoS4MAHeNuHiKxtE9rH8EdxBQiuTgQiRJDJlJZHACk0E5oSJOArBaf+sJk8VkBsSEwScC0tTe/JuoT6T0mK+AiBFInoG9t8RAr9arQlwYBOsbdPERiaZ/WPoI7iClESoWHsQ4ZoCwOAFJoJzSkSUBWi099YbL4rIDYEJgkYNrapv59Uv3JwebQfQ4MCCRJQN/a4iFWkqUgKjkCRXaM/vVk0zxFYmmf1j7CJl7JDkqFh7EOGaAsDgCS7TGERScgq8WnlDBZfFZAbAhMEjBtbVP/yaTTFz2Gnk7IVQiEIaBvbfEQK4w2suROoMiO8VS0p7C6FrNPax9BpzGv+6nwMNYhA5TFAUBejYfakARktazOuuHoeEOW1XJwhEBEAqatbepvUJrH0AYqcIWAcwL61hYPsZzLIOAuCRTZMZ6K9hRW13f2ae0j6DTmdT8VHsY6ZICyOADIq/FQG5KArJbVWcMMWS0HRwhEJGC6Gkz9DUrzGNpABa4QcE5A39riIZZzGQTcJYEiO8ZT0Z7C6vpuw2+lRiEjCR+pSOdpKjyMdcgAZXEAkE5ToSQ1ArJaVisLM2S1HBwhEJGA6Wow9TcozWNoAxW4QsA5AX1ri4dYzmUQcJcEiuwYT0Xb78QjtVi2wj3x8tQfxmqNdcgAZXEAYMycAcUQkNWyuuQwQ1bLwRECEQmYrgZTf4PSPIY2UIErBJwT0Le2eIjlXAYBd0mgyI4psuhdtq+folwciESJIY2tLA4A/DQIUfdAQFbL6mrCDFktB0cIRCRguhpcvCbOlGsqZSYMlyGQGgF9a4uHWKlVgZ40CRTZMUUWnWb/7VZVlB6TpMriAGC3/UVh1gRktawOFWbIajk4QiAigQ2rYZta/clBMCnbCmAUBLYS0Le2eIi1NRvjyiJQZMfoX0/KagKqdU8gysKSpMriAMD9xBJxLwRktayuKMyQ1XJwhEBEAhtWwza1+kR6j22ZGQWByAT0rS0eYkUWTfpMCNAxmUwUMvMiEGVhSVJlcQCQV9OgNiQBWS2rs244Ot6QZbUcHCEQkUCw1tYn0ntE5ERqCGwnoG9t8RBrez5GlkSAjilptqk1GIEoC0uSKosDgGDzTaLsCMhq8Sk9TBafFRAbApMEgrW2PpHeY7ICLkIgdQL61hYPsVKvCn1pEKBj0pgHCxUbfitlkY2h6whEWViSVFkcAKybLLxKJCCrxWf1YbL4rIDYEJgkEKy19Yn0HpMVcBECqRPQt7Z4iJV6VehLgwAd424eIu3E7acwknB35BOMZD8rG4qSpMriAGADRIYUQkBWi8+Cw2TxWQGxITBJIFhr6xPpPSYr4CIEUiegb23xECv1qtCXBgE6xt08RGJpn9Y+gjuIKURycSASJYZMpLI4AEihndCQJgFZLT71hcniswJiQ2CSgGlrb35N1CfSe0xWwEUIpE5A39riIVbqVaEvDQJ0jLt5iMTSPq19BHcQU4iUCg9jHTJAWRwApNBOaEiTgKwWn/rCZPFZAbEhMEnAtLVN/fuk+pODzaH7HBgQSJKAvrXFQ6wkS0FUcgSK7Bj968mmeYrE0j6tfYRNvJIdlAoPYx0yQFkcACTbYwiLTkBWi08pYbL4rIDYEJgkYNrapv6TSacvegw9nZCrEAhDQN/a4iFWGG1kyZ1AkR3jqWhPYXUtZp/WPoJOY173U+FhrEMGKIsDgLwaD7UhCchqWZ11w9Hxhiyr5eAIgYgETFvb1N+gNI+hDVTgCgHnBPStLR5iOZdBwF0SKLJjPBXtKayu7+zT2kfQaczrfio8jHXIAGVxAJBX46E2JAFZLauzhhmyWg6OEIhIwHQ1mPoblOYxtIEKXCHgnIC+tcVDLOcyCLhLAkV2jKeiPYXV9d2G30qNQkYSPlKRztNUeBjrkAHK4gAgnaZCSWoEZLWsVhZmyGo5OEIgIgHT1WDqb1Cax9AGKnCFgHMC+tYWD7GcyyDgLgkU2TGeirbfiUdqsWyFe+LlqT+M1RrrkAHK4gDAmDkDiiEgq2V1yWGGrJaDIwQiEjBdDab+BqV5DG2gAlcIOCegb23xEMu5DALukkCRHVNk0btsXz9FuTgQiRJDGltZHAD4aRCi7oGArJbV1YQZsloOjhCISMB0Nbh4TZwp11TKTBguQyA1AvrWFg+xUqsCPWkSKLJjiiw6zf7braooPSZJlcUBwG77i8KsCchqWR0qzJDVcnCEQEQCG1bDNrX6k4NgUrYVwCgIbCWgb23xEGtrNsaVRaDIjtG/npTVBFTrnkCUhSVJlcUBgPuJJeJeCMhqWV1RmCGr5eAIgYgENqyGbWr1ifQe2zIzCgKRCehbWzzEiiya9JkQoGMymShk5kUgysKSpMriACCvpkFtSAKyWlZn3XB0vCHLajk4QiAigWCtrU+k94jIidQQ2E5A39riIdb2fIwsiQAdU9JsU2swAlEWliRVFgcAweabRNkRkNXiU3qYLD4rIDYEJgkEa219Ir3HZAVchEDqBPStLR5ipV4V+tIgQMekMQ8WKjb8VsoiG0PXEYiysCSpsjgAWDdZeJVIQFaLz+rDZPFZAbEhMEkgWGvrE+k9JivgIgRSJ6BvbfEQK/Wq0JcGATrG3TxE2onbT2Ek4e7IJxjJflY2FCVJlcUBwAaIDCmEgKwWnwWHyeKzAmJDYJJAsNbWJ9J7TFbARQikTkDf2uIhVupVoS8NAnSMu3mIxNI+rX0EdxBTiOTiQCRKDJlIZXEAkEI7oSFNArJafOoLk8VnBcSGwCQB09be/JqoT6T3mKyAixBInYC+tcVDrNSrQl8aBOgYd/MQiaV9WvsI7iCmECkVHsY6ZICyOABIoZ3QkCYBWS0+9YXJ4rMCYkNgkoBpa5v690n1JwebQ/c5MCCQJAF9a4uHWEmWgqjkCBTZMfrXk03zFImlfVr7CJt4JTsoFR7GOmSAsjgASLbHEBadgKwWn1LCZPFZAbEhMEnAtLVN/SeTTl/0GHo6IVchEIaAvrXFQ6ww2siSO4EiO8ZT0Z7C6lrMPq19BJ3GvO6nwsNYhwxQFgcAeTUeakMSkNWyOuuGo+MNWVbLwRECEQmYtrapv0FpHkMbqMAVAs4J6FtbPMRyLoOAuyRQZMd4KtpTWF3f2ae1j6DTmNf9VHgY65AByuIAIK/GQ21IArJaVmcNM2S1HBwhEJGA6Wow9TcozWNoAxW4QsA5AX1ri4dYzmUQcJcEiuwYT0V7Cqvruw2/lRqFjCR8pCKdp6nwMNYhA5TFAUA6TYWS1AjIalmtLMyQ1XJwhEBEAqarwdTfoDSPoQ1U4AoB5wT0rS0eYjmXQcBdEiiyYzwVbb8Tj9Ri2Qr3xMtTfxirNdYhA5TFAYAxcwYUQ0BWy+qSwwxZLQdHCEQkYLoaTP0NSvMY2kAFrhBwTkDf2uIhlnMZBNwlgSI7psiid9m+fopycSASJYY0trI4APDTIETdAwFZLaurCTNktRwcIRCRgOlqcPGaOFOuqZSZMFyGQGoE9K0tHmKlVgV60iRQZMcUWXSa/bdbVVF6TJIqiwOA3fYXhVkTkNWyOlSYIavl4AiBiAQ2rIZtavUnB8GkbCuAURDYSkDf2uIh1tZsjCuLQJEdo389KasJqNY9gSgLS5IqiwMA9xNLxL0QkNWyuqIwQ1bLwRECEQlsWA3b1OoT6T22ZWYUBCIT0Le2eIgVWTTpMyFAx2QyUcjMi0CUhSVJlcUBQF5Ng9qQBGS1rM664eh4Q5bVcnCEQEQCwVpbn0jvEZETqSGwnYC+tcVDrO35GFkSATqmpNmm1mAEoiwsSaosDgCCzTeJsiMgq8Wn9DBZfFZAbAhMEgjW2vpEeo/JCrgIgdQJ6FtbPMRKvSr0pUGAjkljHixUbPitlEU2hq4jEGVhSVJlcQCwbrLwKpGArBaf1YfJ4rMCYkNgkkCw1tYn0ntMVsBFCKROQN/a4iFW6lWhLw0CdIy7eYi0E7efwkjC3ZFPMJL9rGwoSpIqiwOADRAZUggBWS0+Cw6TxWcFxIbAJIFgra1PpPeYrICLEEidgL61xUOs1KtCXxoE6Bh38xCJpX1a+wjuIKYQycWBSJQYMpHK4gAghXZCQ5oEZLX41Bcmi88KiA2BSQKmrb35NVGfSO8xWQEXIZA6AX1ri4dYqVeFvjQI0DHu5iESS/u09hHcQUwhUio8jHXIAGVxAJBCO6EhTQKyWnzqC5PFZwXEhsAkAdPWNvXvk+pPDjaH7nNgQCBJAvrWFg+xkiwFUckRKLJj9K8nm+YpEkv7tPYRNvFKdlAqPIx1yABlcQCQbI8hLDoBWS0+pYTJ4rMCYkNgkoBpa5v6Tyadvugx9HRCrkIgDAF9a4uHWGG0kSV3AkV2jKeiPYXVtZh9WvsIOo153U+Fh7EOGaAsDgDyajzUhiQgq2V11g1HxxuyrJaDIwQiEjBtbVN/g9I8hjZQgSsEnBPQt7Z4iOVcBgF3SaDIjvFUtKewur6zT2sfQacxr/up8DDWIQOUxQFAXo2H2pAEZLWszhpmyGo5OEIgIgHT1WDqb1Cax9AGKnCFgHMC+tYWD7GcyyDgLgkU2TGeivYUVtd3G34rNQoZSfhIRTpPU+FhrEMGKIsDgHSaCiWpEZDVslpZmCGr5eAIgYgETFeDqb9BaR5DG6jAFQLOCehbWzzEci6DgLskUGTHeCraficeqcWyFe6Jl6f+MFZrrEMGKIsDAGPmDCiGgKyW1SWHGbJaDo4QiEjAdDWY+huU5jG0gQpcIeCcgL61xUMs5zIIuEsCRXZMkUXvsn39FOXiQCRKDGlsZXEA4KdBiLoHArJaVlcTZshqOThCICIB09Xg4jVxplxTKTNhuAyB1AjoW1s8xEqtCvSkSaDIjimy6DT7b7eqovSYJFUWBwC77S8KsyYgq2V1qDBDVsvBEQIRCWxYDdvU6k8OgknZVgCjILCVgL61xUOsrdkYVxaBIjtG/3pSVhNQrXsCURaWJFUWBwDuJ5aIeyEgq2V1RWGGrJaDIwQiEtiwGrap1SfSe2zLzCgIRCagb23xECuyaNJnQoCOyWSikJkXgSgLS5IqiwOAvJoGtSEJyGpZnXXD0fGGLKvl4AiBiASCtbY+kd4jIidSQ2A7AX1ri4dY2/MxsiQCdExJs02twQhEWViSVFkcAASbbxJlR0BWi0/pYbL4rIDYEJgkEKy19Yn0HpMVcBECqRPQt7Z4iJV6VehLgwAdk8Y8WKjY8Fspi2wMXUcgysKSpMriAGDdZOFVIgFZLT6rD5PFZwXEhsAkgWCtrU+k95isgIsQSJ2AvrXFQ6zUq0JfGgToGHfzEGknbj+FkYS7I59gJPtZ2VCUJFUWBwAbIDKkEAKyWnwWHCaLzwqIDYFJAsFaW59I7zFZARchkDoBfWuLh1ipV4W+NAjQMe7mIRJL+7T2EdxBTCGSiwORKDFkIpXFAUAK7YSGNAnIavGpL0wWnxUQGwKTBExbe/Nroj6R3mOyAi5CIHUC+tYWD7FSrwp9aRCgY9zNQySW9mntI7iDmEKkVHgY65AByuIAIIV2QkOaBGS1+NQXJovPCogNgUkCpq1t6t8n1Z8cbA7d58CAQJIE9K0tHmIlWQqikiNQZMfoX082zVMklvZp7SNs4pXsoFR4GOuQAcriACDZHkNYdAKyWnxKCZPFZwXEhsAkAdPWNvWfTDp90WPo6YRchUAYAvrWFg+xwmgjS+4EiuwYT0V7CqtrMfu09hF0GvO6nwoPYx0yQFkcAOTVeKgNSUBWy+qsG46ON2RZLQdHCEQkYNrapv4GpXkMbaACVwg4J6BvbfEQy7kMAu6SQJEd46loT2F1fWef1j6CTmNe91PhYaxDBiiLA4C8Gg+1IQnIalmdNcyQ1XJwhEBEAqarwdTfoDSPoQ1U4AoB5wT0rS0eYjmXQcBdEiiyYzwV7Smsru82/FZqFDKS8JGKdJ6mwsNYhwxQFgcA6TQVSlIjIKtltbIwQ1bLwRECEQmYrgZTf4PSPIY2UIErBJwT0Le2eIjlXAYBd0mgyI7xVLT9TjxSi2Ur3BMvT/1hrNZYhwxQFgcAxswZUAwBWS2rSw4zZLUcHCEQkYDpajD1NyjNY2gDFbhCwDkBfWuLh1jOZRBwlwSK7Jgii95l+/opysWBSJQY0tjK4gDAT4MQdQ8EZLWsribMkNVycIRARAKmq8HFa+JMuaZSZsJwGQKpEdC3tniIlVoV6EmTQJEdU2TRafbfblVF6TFJqiwOAHbbXxRmTUBWy+pQYYasloMjBCIS2LAatqnVnxwEk7KtAEZBYCsBfWuLh1hbszGuLAJFdoz+9aSsJqBa9wSiLCxJqiwOANxPLBH3QkBWy+qKwgxZLQdHCEQksGE1bFOrT6T32JaZURCITEDf2uIhVmTRpM+EAB2TyUQhMy8CURaWJFUWBwB5NQ1qQxKQ1bI664aj4w1ZVsvBEQIRCQRrbX0ivUdETqSGwHYC+tYWD7G252NkSQTomJJmm1qDEYiysCSpsjgACDbfJMqOgKwWn9LDZPFZAbEhMEkgWGvrE+k9JivgIgRSJ6BvbfEQK/Wq0JcGATomjXmwULHht1IW2Ri6jkCUhSVJlcUBwLrJwqtEArJafFYfJovPCogNgUkCwVpbn0jvMVkBFyGQOgF9a4uHWKlXhb40CNAx7uYh0k7cfgojCXdHPoVIP3+fqdg0K3WMUZxB0Pk7nZMkVRYHAB0ZvkJgTEBWy/iOy+dhsrhUTCwIrCIQrLX1ifQeqyrCCQKpEdC3tniIlVoV6EmTAB3jbl4isbRPax/BHcT4kb7+3HQg8vnb6fRVRoplUNGnr6dT/V/76GOouHWG5YdMpLI4AFjmxd2SCchq8UkhTBafFRAbApMETFu7fz2bjLZwUZ9I77EQnlsQSJeAvrXFQ6x060FZSgToGHezEYmlfVr7CO4gxo/06etmHoPN+6Y6RgcAvY61cfsBJ2VxALBpGhhUBAFZLT7LDZPFZwXEhsAkAdPWNvXvk+pPDjaH7nNgQCBJAvrWFg+xkiwFUckRKLJj9K8nm+YpEkv7tPYRNvGKP+jH76f7Ly+f7+6/vVdiXivjy9vT8eb4+HY6PX+6e/zvdGpc2luLgn/+OlVDH0dD759PP+8e/s6NfP50+/BU3fz1cPv5n/rtf7PZV8mreWkc2rhVht7zx+9f9/f187OHTKSyOAA4w8MTCAwIyGoZXHRuhsniXDYBIaAjYNrapv66/IP7HkMPsmBCIDgBfWuLh1jBZZIwSwJFdoynoj2F1fWVfVr7CDqNid5/OH768/zz59/n+/tK4fXXv8/f//139+n45+P06+rn3+9Xr6fGpb21WEW1ca+G/jkb+vn52+HLl+evV/X5wsTj1+H739/VG/ufrn4+f7p+b97+Xx8AtMmPJ+XQxq3vdJ4Px8/PPw7jgwWZSGVxADABnUsQaAjIalkNZMPR8YYsq+XgCIGIBExb29TfoDSPoQ1U4AoB5wT0rS0eYjmXQcBdEiiyYzwV7Smsru/s09pH0GlM9P7DbSvs/fB6+neofu9fPdSfAFzXv5j/8vnUuHS3mvsz/6u35/V/1UFCN/SuenJsjhbOPyCwj3D9Q5nX9cbi+L0/AGgjHE+tg4pb/7/zfKhjPzTp+mhViN5WFgcAPRAMCIwIyGoZ3Zh/GmbIfH7uQCAdAqarwdTfoFKPoQ1U4AoB5wT0rS0eYjmXQcBdEiiyYzwV7Smsru82/FZqFDKS8JGKCE+bHfT794fb28Pz6XR7863+lXpzAPB6+Pr9e3Wj3WS3t5Yk9gcA50Pv60/uu52eo9fq2KF+/Gu+fvnUHQB0EY6dQ38A0Hs2yr8+NsPlfzKRyuIAQNhgQeCcgKyW8+sLz8IMWRDALQgkQ8B0NZj6GxTqMbSBClwh4JyAvrXFQyznMgi4SwJFdoynoqd3eRm0TbbCbdk+1Lvzu09/X18Pf06nj1+PVzf/1AHAf4dvP6rH06lx6W4t5esPAM6H3n+vBs0cAPx3qP7uv3q8Nl+/PnQHAF2EY+fQHwD0no2sr5+a4fI/aWxlcQAgbLAgcE5AVsv59YVnYYYsCOAWBJIhYLoaTP0NCvUY2kAFrhBwTkDf2uIhlnMZBNwlgSI7psiid9m+lkXV2+i3evf9rz4AqB4ft9+qXXh1IPLeXmgPANpbjc/M//oDADW0itFs0pcOALokH/X7D073X7oDgO76z87oDwB6Tw4AZqaByxBYSWDDy0CYISv14waBqARMV4PHXzSYSonKjeQQWE9A39riIdb6+HiWTKDIjimy6JK7fK72ehv9cXg6fTxU+/236v3/7zc/T1/v3z9Op8831dvzX/+qXXx3ay5Ofb3epA+GHtuhSwcAKslLlez27fT78F93ANAn7xxU3DpD58kBwNJccA8CegIbXgbCDNFLxwMC8QlsWA3bROtPDoJJ2VYAoyCwlYC+tcVDrK3ZGFcWgSI7Rv96UlYTFFtts41+Ohyvfl79Ob1eH46Hx4/Tv/ur6m/yP74crq+uf6kDgO7WEqh6ez4YemyHLh4AfDwerg/V+/jf76tkVVfWMer/uuSn1kHFre90nhwALM0F9yCgJ7DhtS/MEL10PCAQn8CG1bBNtD6R3mNbZkZBIDIBfWuLh1iRRZM+EwJ0TCYThUxvBD5eq9/414+313dlNP//eFX/KkDz5PzWwGvSrIauXFjvbZK3TkMbr0/eOfR5xp79jcqQpMriMwCGdLAhMCQgq2V4ddHecHS8IcuiBG5CIBECwVpbn0jvkQgzZEDAjIC+tcVDLLMceJdKgI4pdeap2yuBKAtLkiqLAwCvc0zwrAnIavFZRpgsPisgNgQmCQRrbX0ivcdkBVyEQOoE9K0tHmKlXhX60iBAx6QxDxYqNvxWyiIbQ9cRiLKwJKmyOABYN1l4lUhAVovP6sNk8VkBsSEwSSBYa+sT6T0mK+AiBFInoG9t8RAr9arQlwYBOsbdPETaidtPYSTh7sinFan5t/2aWVH/yl84ddIKyuIAIBx7MuVGQFaLT+VhsvisgNgQmCQQrLX1ifQekxVwEQKpE9C3tniIlXpV6EuDAB3jbh4isbRPax/BHcTIkZote3Mgsn3z/qv6XP9THePl1+ZqtumQiVQWBwCbJ4CBuycgq8VnqWGy+KyA2BCYJGDa2pt/0aBPpPeYrICLEEidgL61xUOs1KtCXxoE6Bh38xCJpX1a+wjuIEaO1Gzeax4Wm/f32/oE4HT6ezv8TMHm0ur/bdMhE6ksDgBWA8exOAKyWnyWHiaLzwqIDYFJAqatberfJ9WfHGwO3efAgECSBPStLR5iJVkKopIjUGTH6F9PNs1TJJb2ae0jbOKV4qD3m2rzXvH4ZbF5P32qg5yej9+2V7hNh0yksjgA2D4DjNw7AVktPisNk8VnBcSGwCQB09Y29Z9MOn3RY+jphFyFQBgC+tYWD7HCaCNL7gSK7BhPRXsKq2sx+7T2EXQa87n/eHypDgB+2GzeTy/H6gTg+Xjc/lcEp5PS8c1Mh0yksjgAyKfxUBqagKyW1Zk3HB1vyLJaDo4QiEjAtLVN/Q1K8xjaQAWuEHBOQN/a4iGWcxkE3CWBIjvGU9Gewur6zj6tfQSdxnzuv1ab9+MPu8376fbm9ufx7rNN1Y2Ob4Y6ZCKVxQGAzRQwdt8EZLWsrjPMkNVycIRARAKmq8HU36A0j6ENVOAKAecE9K0tHmI5l0HAXRIosmM8Fe0prK7vNvxWahQykvCRikSe3h9v7o8PVpv306/j3fF4rz4JYGtZW3TIRCqLA4Ct9Bm3fwKyWlbXGmbIajk4QiAiAdPVYOpvUJrH0AYqcIWAcwL61hYPsZzLIOAuCRTZMZ6Ktt+JR2qxbIX74FW9dd968366qUI82KmrddwYHiJIYyuLAwC7OWD0ngnIalldZZghq+XgCIGIBExXg6m/QWkeQxuowBUCzgnoW1s8xHIug4C7JFBkxxRZ9C7b10dRt8fjZ8vN+6l67/7Db0txlY4vhjqksZXFAYDlHDB8xwRktawuMsyQ1XJwhEBEAqarweMvGkylRKRGagiYENC3tniIZZIB33IJFNkxRRZdbo8bVv50PH6y3bx/HG9vDdNeuFc6Hg11SGMriwOAC6pcgEBLQFbLaiRhhqyWgyMEIhLYsBq2qdWfHASTsq0ARkFgKwF9a4uHWFuzMa4sAkV2jP71pKwmoNozAscH68376fPRvsluPpnqkNWsLA4AziaWJxAYEJDVMri4bIYZsqyBuxBIg8CG1bBNuD6R3mNbZkZBIDIBfWuLh1iRRZM+EwJ0TCYThcwABD5e6sfn47fm68emjCrGn5tnixinJkin42W1EFnNyuIAYNMUMqgIArJaVpe74VRvQ5bVcnCEQEQCwVpbn0jvEZETqSGwnYC+tcVDrO35GFkSATqmpNmm1mUCL/UHAPaPbZ/i7yLGaWMQWc3K4gBgeb65WzIBWS0+KYTJ4rMCYkNgkkCw1tYn0ntMVsBFCKROQN/a4iFW6lWhLw0CdEwa82ChYsNvpSyy7Xroy/Hpb/VQ/ztuPQBohtdx/j5tjFEdANRBVCCDILKalcUBwK7bleKsCMhqsQqjGRwmi0YEtyHgnkCw1tYn0nu4L5+IEAhAQN/a4iFWAGGk2AEBOsbdJEbaidtPYSTh7si7ivRy/PvRPf5u3Ly7iFEdAGwSIq2gLA4AXHUGcfZHQFaLz9rCZPFZAbEhMEkgWGvrE+k9JivgIgRSJ6BvbfEQK/Wq0JcGATrG3TxEYmmf1j6CO4hRI23cd59pdhGDA4AzpDyBgAcCYb7thcniAQ8hIbBMwLS1N/+iQZ9I77FcCnchkCgBfWuLh1iJFoOsxAjQMe4mJBJL+7T2EdxBjBrJxebdRQwOAKK2AcmLIBDm216YLEVMGEWmRcC0tU39+2r1JwebQ/c5MCCQJAF9a4uHWEmWgqjkCBTZMfrXk03zFImlfVr7CJt4pTfIxebdRQwOANLrDRTtjUCYb3thsuxtbqgnAwKmrW3qb4DAY2gDFbhCwDkBfWuLh1jOZRBwlwSK7BhPRXsKq+s7+7T2EXQaN97/76H/SP5AxvBP77emdBHj7DMARMjDf4skZSKVxWcALOLiZtEEZLWsxrDh6HhDltVycIRARAKmrW3qb1Cax9AGKnCFgHMC+tYWD7GcyyDgLgkU2TGeivYUVtd39mntI+g0brz/8Lxx4MZhLn577yLG7DsAnh8WK5OJVBYHAIu4uFk0AVktqzGEGbJaDo4QiEjAdDWY+huU5jG0gQpcIeCcgL61xUMs5zIIuEsCRXaMp6I9hdX13YbfSo1CRhI+UjHxNLQwF5t3FzFmDwBOy0TkrrI4AJhoKi5BoCEgq2U1kDBDVsvBEQIRCZiuBlN/g9I8hjZQgSsEnBPQt7Z4iOVcBgF3SaDIjvFUtP1OPFKLJSvc00TNYnaxeXcRgwOA2SniBgQcEdjw3SXMEEf1EQYCXgmYrgZTfwPxHkMbqMAVAs4J6FtbPMRyLoOAuyRQZMcUWXSO7Rt6olxs3l3E4AAgx25Fc14ENnx3CTMkL4yoLZWA6Wrw+IsGUymlThl1Z0dA39riIVZ2ZSI4CoEiO6bIoqO0l2XS0BP1cnz62z2eji+b1LuIUR0ADIW0HwJYy1kmIneVxZ8AbJpCBhVBQFbL6nLDDFktB0cIRCSwYTVsU6s/OQgmZVsBjILAVgL61hYPsbZmY1xZBIrsGP3rSVlNkGy1obvzRT5vv7K2HgAMg2yLUR0ADB8qSANjmYjcVRYHAMm2NsKiE5DVslpKmCGr5eAIgYgENqyGbWr1ifQe2zIzCgKRCehbWzzEiiya9JkQoGMymagiZYbuzo+X4eNjE3MXMU5VkOYEQMlRQhoYy0TkrrI4ANg0hQwqgoCsltXlbjg63pBltRwcIRCRQLDW1ifSe0TkRGoIbCegb23xEGt7PkaWRICOKWm2c6u15O48Vm/3P6u/eXJ25WI65a6yOAC4QMQFCLQEZLX4RBImi88KiA2BSQLBWlufSO8xWQEXIZA6AX1ri4dYqVeFvjQI0DFpzIOFig2/lbLIFnRoyd3ZvANgSLuBsUxE7iqLA4AhQGwIDAnIahledW2HyeJaNfEgoCUQrLX1ifQe2mpwgECKBPStLR5ipVgJmtIjQMe4m5NIO3H7KYwkXE/evjR9jnQ9RtU3T0fXRuLlrrI4ABgB4ikEegKyWvpLHowwWTwIJyQElgkEa219Ir3HcinchUCiBPStLR5iJVoMshIjQMe4m5BILO3T2kdwB/EsUrLCzlT6ecI7APxwJSoEFIEw313CZGFOIRCcgGlrb/5Fgz6R3iM4HRJCwAUBfWuLh1guMhNj/wToGHdzHImlfVr7CO4gnkVKVtiZSj9P+AwAP1yJCgFFIMx3lzBZmFMIBCdg2tqm/n1B+pODzaH7HBgQSJKAvrXFQ6wkS0FUcgSK7Bj968mmeYrE0j6tfYRNvPSDkhWml27twTsArBESAAILBMJ8dwmTZaFMbkHADwHT1jb1N1DtMbSBClwh4JyAvrXFQyznMgi4SwJFdoynoj2F1fWdfVr7CDqNG+8nK2xjPWbDRtU3T0fXRgHlrrL4DIARIJ5CoCcgq6W/pDM2HB1vyKJTwX0IpEDAtLVN/Q1q9BjaQAWuEHBOQN/a4iGWcxkE3CWBIjvGU9Gewur6zj6tfQSdxo33twj79fnbxmznw75//nU6Nf87v949u8jTXFAD/vv2+fO/k/p/52/+tXkPwOB/dYRlInJXWRwAmFNnRCkEZLWsrjjMkNVycIRARAKmq8HU36A0j6ENVOAKAecE9K0tHmI5l0HAXRIosmM8Fe0prK7vNvxWahQykvCRiomnW4R9OdxMRDK/dHv4fDo1/5see5GnudAMeD1Uj//U/6cHb766TETuKosDgM2gGbh7ArJaVpcaZshqOThCICIB09Vg6m9QmsfQBipwhYBzAvrWFg+xnMsg4C4JFNkxnoq234lHarFkhW+ZqIuN+UaozVb++ffL3PCLPM2FZsDPw+H9dFL/nxu+8foyEbmrLA4ANmJmWAEEZLWsLjbMkNVycIRARAKmq8HU36A0j6ENVOAKAecE9K0tHmI5l0HAXRIosmOKLDrH9l2YqG+PT88Pdz/qqp4fb+++/qutH3f3f9TGvLp2/73ahXePCffq0p/7T6fqy+/7++dq7Kd6s//r8V6NbA4Aqpunf4/N40+TSAWVPG38/kI94Mft4fD4qP4/GNTmq+U2UarnXQV/P9/dfX6tYnX3OtkXXxeIVL5yV1kcAFwA5AIEWgKyWlYjCTNktRwcIRCRgOlq8PiLBlMpEamRGgImBPStLR5imWTAt1wCRXZMkUXn2OMLE3V7ONZvtK9+pvhxOFwdDtfV/vlrfeVY/wlAde3m+nAjJwAT7reHm8rrdHO4roc9VP9dvZ1OD1e31f79rn33f30K8F99+3D4IUElTwtVLtQD6lAq4OEgg6o/J2jy/eikiaTqvQJVCb8nZF9M2gKRylfuKosDgAuAXIBAS0BWy2okYYasloMjBCIS2LAatqnVnxwEk7KtAEZBYCsBfWuLh1hbszGuLAJFdoz+9aSsJki22oXurHbpf99vD/ent+rX7ad/14dPynq9qjb11bUfp/frw/e+sgn36tL317/VAcBV/ef6168vh8Ov0+m/ashz9Rf86s//m7cBvL293R+O//qgTcYmTxt+cKEe8P6tOkp4U//vB9UnCnU+uTCUdP9+en2dkN3r74wFIpWL3FUWBwAdN75CYExAVsv4zuzzMENm03MDAgkR2LAatqnXJ9J7bMvMKAhEJqBvbfEQK7Jo0mdCgI7JZKKKlLnQnbeHh9Opfrv/n8Oheuv+l8NVvW+vrE/q2qfHx+vqeKB7TLjf1r/nP1UHAJ9Op+v6E//qU4PTf483x+otAX8GBwCn02P9BoMqkQoqedrogwvNicH3Skz1LwjU/+8H1QcAdT65MJT0t4kk99rAl18WiFTOcldZHABcEuQKBBQBWS2riWw4Ot6QZbUcHCEQkUCw1tYn0ntE5ERqCGwnoG9t8RBrez5GlkSAjilptnOrdaE7m532l8Px9Lv+dX397v96b11Zn6sDgOraTf147AuecG8u1QcA1d7/+lD924H1AcDb1eH265dD9X785rby+Xy4rgL3QSVPG35woRkwOADoB3X/ooBcaFylgiqW3Ot1j40FIpWr3FUWBwBjfjyHQEdAVkt3xcfXMFl8KCcmBBYJBGttfSK9x2Il3IRAqgT0rS0eYqVaDbrSIkDHpDUfG9Rs+K3UhixRhix0Z799rv5E/+l0ujvcnqo38lcsbqoDgOracyX4o/qb/vYx4d5cGh8AVHv5t/qtBMMDgOrdBfXHA/ZBJU8bfHChCTo4AOgHdQcAcmEo6XsV6UMytHEnviwQqbzlrrI4AJhAyCUINARktfgEEiaLzwqIDYFJAsFaW59I7zFZARchkDoBfWuLh1ipV4W+NAjQMe7mIdJO3H4KIwnXk18ord8+n+4PV1/um7/fr/7/+a7+YL/qc/iuv/34ci2FTbg3l8YHANUHATz+qD5ecHAAUJ0JHO/v739LUMnTliAXmqCDAwAZpN5SMJAmkqpPDXz4eld9COCF7AtEC0QqX7mrLA4ALgByAQItAVktPpGEyeKzAmJDYJJAsNbWJ9J7TFbARQikTkDf2uIhVupVoS8NAnSMu3mIxNI+rX0EdxDPIi0Ik+3z+2P1IfrX1bsATv9uqz/Tr/8E4PT+ubp2uFN/Wl+HnHBvLo0PAE7fqg/kfzo7APhVh2o+VbALKnlatXKhCTo8ABAlbb7+gkj6qP7moHnPQn+vjXv5ZYFI5Sx3lcUBwCVBrkBAEZDV4pNImCw+KyA2BCYJmLa2nMdPhpu/qE+k95iPzh0IJExA39riIVbCBSEtIQJ0jLvJiMTSPq19BHcQzyKtFPbx+q8d9tq/6b+69nEWS56Iu1wT6/11blz1Lv0uqORpB15ckID9oO7SxYU6cJt14l43rPm6TETuKosDgDN4PIHAgICslsFF52aYLM5lExACOgKmrW3q3+fXnxxsDt3nwIBAkgT0rS0eYiVZCqKSI1Bkx+hfTzbNUySW9mntI2zipR+UrDC9dE8ey0TkrrI4APA0DYTdAQFZLT6LCZPFZwXEhsAkAdPWNvWfTDp90WPo6YRchUAYAvrWFg+xwmgjS+4EiuwYT0V7CqtrMfu09hF0GjfetxdWv7e+emzMrxumgvuKPpV9mYjcVdaFMnGYCj68tt5zOAobAtkQ2NDiG46ON2TJhiBCiyZg2tqm/gZwPYY2UIErBJwT0Le2eIjlXAYBd0mgyI7xVLSnsLq+s09rH0GnceN9e2HP6rExv26Y3+hT2ZeJyF1lcQAwxZBrEKgJyGpZzSPMkNVycIRARAKmq8HU36A0j6ENVOAKAecEZlr757F5/KryVR4/1LPWt31W36se39S96kOmL5+1nu3BdhuTZ6diSDQdU0y1zQrYW7U/rbtVfdtIkEv7/SxBZal/jzw2zDgAUC96/B8ClwTa7y6XN+avhBkyn587EEiHgOlqMPU3qNRjaAMVuELAOQF9a4uHWM5lEHCXBIrsGE9Fb3h/aBo9laxwTxOVBvVNKpaJyF1lcQCwCTKDiiAgq2V1uWGGrJaDIwQiEjBdDab+BqV5DG2gAlcIOCegb23xEMu5DALukkCRHVNk0Tm2LxM1nrVlInJXWRwAjPnxHAIdAVkt3RXt1zBDtDJwgEACBExXg8dfNJhKSYAeEiCwhoC+tcVDrDWR8YFAkR1TZNE59joTNZ61ZSJyV1kcAIz58RwCHQFZLd0V7dcwQ7QycIBAAgQ2rIZtqvUnB8GkbCuAURDYSkDf2uIh1tZsjCuLQJEdo389KasJkq22yO5cnI1lInJXWRwALMLkZtEEZLWsxhBmyGo5OEIgIoENq2GbWn0ivce2zIyCQGQC+tYWD7EiiyZ9JgTomEwmqkiZdOd42peJyF1lcQAw5sdzCHQEZLV0V7RfNxwdb8iilYEDBBIgEKy19Yn0HgnwQgIEzAnoW1s8xDLPw4gSCdAxJc56LjXTneOZWiYid5XFAcCYH88h0BGQ1dJd8fE1TBYfyokJgUUCwVpbn0jvsVgJNyGQKgF9a4uHWKlWg660CNAxac3HBjUbfiu1IUuUIXTnGPsyEbmrLA4Axvx4DoGOgKyW7oqPr2Gy+FBOTAgsEgjW2vpEeo/FSrgJgVQJ6FtbPMRKtRp0pUWAjnE3H5F24vZTGEm4nrx9afoceXksE5G7yuIAIK/ZRW1IArJafGYNk8VnBcSGwCSBYK2tT6T3mKyAixBInYC+tcVDrNSrQl8aBOgYd/MQiaV9WvsI7iCeRUpW2JnKkE+WichdZXEAEHJuyJUXAVktPnWHyeKzAmJDYJKAaWtv/kWDPpHeY7ICLkIgdQL61hYPsVKvCn1pEKBj3M1DJJb2ae0juIN4FilZYWcqQz5ZJiJ3lcUBQMi5IVdeBGS1+NQdJovPCogNgUkCpq1t6t8n1Z8cbA7d58CAQJIE9K0tHmIlWQqikiNQZMfoX082zVMklvZp7SNs4qUflKwwvXRPHstE5K6yOADwNA2E3QEBWS0+iwmTxWcFxIbAJIHp1v55bB7tD1nDZ8fT8NmJZ8fjBCW4VP0Dl351qFW2tHLUgquZ1b5Lntyjs847hO/J7r7b6FdqouuvEp6mMr6fzf0stW7GOACY/MGVixCoCKjv10Yo2p9LTcZsyGISHl8IxCJg2tqm/gZ1eQxtoAJXCDgnoG9t8RDLuQwC7pJAkR3jqWhPYXV9Z5/WPoJO48b7yQrbWI/9sGUicldZHADYEyfCXgnIalldYZghq+XgCIGIBExXg6m/QWkeQxuowBUCzgnoW1s8xHIug4C7JFBkx3gq2lNYXd9t+K3UKGQk4SMVE0+TFTahNcylZSJyV1kcAISZFbLkSEBWy2r1YYasloMjBCISMF0Npv4GpXkMbaACVwg4J6BvbfEQy7kMAu6SQJEd46lo+514pBZLVriniYqE2UXaZSJyV1kcALhgTox9EpDVsrq+MENWy8ERAhEJmK4GU3+D0jyGNlCBKwScE9C3tniI5VwGAXdJoMiOKbLoHNuXiRrP2jIRuassDgDG/HgOgY6ArJbuivZrmCFaGThAIAECpqvB4y8aTKUkQA8JEFhDQN/a4iHWmsj4QKDIjimy6Bx7nYkaz9oyEbmrLA4Axvx4DoGOgKyW7or2a5ghWhk4QCABAhtWwzbV+pODYFK2FcAoCGwloG9t8RBrazbGlUWgyI7Rv56U1QTJVltkdy7OxjIRuassDgAWYXKzaAKyWlZjCDNktRwcIRCRwIbVsE2tPpHeY1tmRkEgMgF9a4uHWJFFkz4TAnRMJhNVpEy6czzty0TkrrI4ABjz4zkEOgKyWror2q8bjo43ZNHKwAECCRAI1tr6RHqPBHghAQLmBPStLR5imedhRIkE6JgSZz2XmunO8UwtE5G7yuIAYMyP5xDoCMhq6a74+Bomiw/lxITAIoFgra1PpPdYrISbEEiVgL61xUOsVKtBV1oE6Ji05mODmg2/ldqQJcoQunOMfZmI3FUWBwBjfjyHQEdAVkt3xcfXMFl8KCcmBBYJBGttfSK9x2Il3IRAqgT0rS0eYqVaDbrSIkDHuJuPSDtx+ymMJFxP3r40fY68PJaJyF1lcQCQ1+yiNiQBWS0+s4bJ4rMCYkNgkkCw1tYn0ntMVsBFCKROQN/a4iFW6lWhLw0CdIy7eYjE0j6tfQR3EM8iJSvsTGXIJ8tE5K6yOAAIOTfkyouArJah7p/H5tEeito/q7PYR6kVEuXobFbg6aDLj+l05JHVcWR1FPo9sn0hS2c1FjoPvDrxXTjCd2G1/Fn9Rbz+VZO9MNPyE1nTFD85AKh/0OcBgSkC7c9NU7ccXguTxaFgQkFgHQHT1jb171Xo36K4OXSfAwMCSRLQt7Z4iJVkKYhKjkCRHaN/Pdk0T5FY2qe1j7CJl35QssL00j15LBORu8riAMDTNBB2BwRktfgsJkwWnxUQGwKTBExb29R/Mun0RY+hpxNyFQJhCOhbWzzECqONLLkTKLJjPBXtKayuxezT2kfQadx4P1lhG+uxH7ZMRO4qiwMAe+JE2CsBWS2rK9xwdLwhy2o5OEIgIgHT1jb1NyjNY2gDFbhCwDkBfWuLh1jOZRBwlwSK7BhPRXsKq+s7+7T2EXQaN95PVtjGeuyHLRORu8riAMCeOBH2SkBWy+oKwwxZLQdHCEQkYLoaTP0NSvMY2kAFrhBwTkDf2uIhlnMZBNwlgSI7xlPRnsLq+m7Db6VGISMJH6mYeJqssAmtYS4tE5G7yuIAIMyskCVHArJaVqsPM2S1HBwhEJGA6Wow9TcozWNoAxW4QsA5AX1ri4dYzmUQcJcEiuwYT0Xb78QjtViywj1NVCTMLtIuE5G7yuIAwAVzYuyTgKyW1fWFGbJaDo4QiEjAdDWY+huU5jG0gQpcIeCcgL61xUMs5zIIuEsCRXZMkUXn2L5M1HjWlonIXWVxADDmx3MIdARktXRXtF/DDNHKwAECCRAwXQ0ef9FgKiUBekiAwBoC+tYWD7HWRMYHAkV2TJFF59jrTNR41paJyF1lcQAw5sdzCHQEZLV0V7RfwwzRysABAgkQ2LAatqnWnxwEk7KtAEZBYCsBfWuLh1hbszGuLAJFdoz+9aSsJki22iK7c3E2lonIXWVxALAIk5tFE5DVshpDmCGr5eAIgYgENqyGbWr1ifQe2zIzCgKRCehbWzzEiiya9JkQoGMymagiZdKd42lfJiJ3lcUBwJgfzyHQEZDV0l3Rft1wdLwhi1YGDhBIgECw1tYn0nskwAsJEDAnoG9t8RDLPA8jSiRAx5Q467nUTHeOZ2qZiNxVFgcAY348h0BHQFZLd8XH1zBZfCgnJgQWCQRrbX0ivcdiJdyEQKoE9K0tHmKlWg260iJAx6Q1HxvUbPit1IYsUYbQnWPsy0TkrrI4ABjz4zkEOgKyWrorPr6GyeJDOTEhsEggWGvrE+k9FivhJgRSJaBvbfEQK9Vq0JUWATrG3XxE2onbT2Ek4Xry9qXpc+TlcUHk57F5qCk89s8av58cAOQ1u6gNSeBiLXlJHiaLF+kEhcASgWCtrU+k91gqhHsQSJaAvrXFQ6xky0FYUgToGHfTEYmlfVr7CO4gnkVKVtiZypBPlonIXWVxABBybsiVFwFZLT51h8niswJiQ2CSgGlrb/5Fgz6R3mOyAi5CIHUC+tYWD7FSrwp9aRCgY9zNQySW9mntI7iDeBYpWWFnKkM+WSYid5XFAUDIuSFXXgRktfjUHSaLzwqIDYFJAqatberfJ9WfHGwO3efAgECSBPStLR5iJVkKopIjUGTH6F9PNs1TJJb2ae0jbOKlH5SsML10Tx7LROSusjgA8DQNhN0BAVktPosJk8VnBcSGwCQB09Y29Z9MOn3RY+jphFyFQBgC+tYWD7HCaCNL7gSK7BhPRXsKq2sx+7T2EXQaN95PVtjGeuyHLRORu8riAMCeOBH2SkBWy+oKNxwdb8iyWg6OEIhIwLS1Tf0NSvMY2kAFrhBwTkDf2uIhlnMZBNwlgSI7xlPRnsLq+s4+rX0EncaN95MVtrEe+2HLROSusjgAsCdOhL0SkNWyusIwQ1bLwRECEQmYrgZTf4PSPIY2UIErBJwT0Le2eIjlXAYBd0mgyI7xVLSnsLq+2/BbqVHISMJHKiaeJitsQmuYS8tE5K6yOAAIMytkyZGArJbV6sMMWS0HRwhEJGC6Gkz9DUrzGNpABa4QcE5A39riIZZzGQTcJYEiO8ZT0fY78UgtlqxwTxMVCbOLtMtE5K6yOABwwZwY+yQgq2V1fWGGrJaDIwQiEjBdDab+BqV5DG2gAlcIOCegb23xEMu5DALukkCRHVNk0Tm2LxM1nrVlInJXWRwAjPnxHAIdAVkt3RXt1zBDtDJwgEACBExXg8dfNJhKSYAeEiCwhoC+tcVDrDWR8YFAkR1TZNE59joTNZ61ZSJyV1kcAIz58RwCHQFZLd0V7dcwQ7QycIBAAgQ2rIZtqvUnB8GkbCuAURDYSkDf2uIh1tZsjCuLQJEdo389KasJkq22yO5cnI1lInJXWRwALMLkZtEEZLWsxhBmyGo5OEIgIoENq2GbWn0ivce2zIyCQGQC+tYWD7EiiyZ9JgTomEwmqkiZdOd42peJyF1lcQAw5sdzCHQEZLV0V7RfNxwdb8iilYEDBBIgEKy19Yn0HgnwQgIEzAnoW1s8xDLPw4gSCdAxJc56LjXTneOZWiYid5XFAcCYH88h0BGQ1dJd8fE1TBYfyokJgUUCwVpbn0jvsVgJNyGQKgF9a4uHWKlWg660CNAxac3HBjUbfiu1IUuUIXTnGPsyEbmrLA4Axvx4DoGOgKyW7oqPr2Gy+FBOTAgsEgjW2vpEeo/FSrgJgVQJ6FtbPMRKtRp0pUWAjnE3H5F24vZTGEm4nrx9afoceXksE5G7yuIAIK/ZRW1IArJafGYNk8VnBcSGwCSBYK2tT6T3mKyAixBInYC+tcVDrNSrQl8aBOgYd/MQiaV9WvsI7iCeRUpW2JnKkE+WichdZXEAEHJuyJUXAVktPnWHyeKzAmJDYJKAaWtv/kWDPpHeY7ICLkIgdQL61hYPsVKvCn1pEKBj3M1DJJb2ae0juIN4FilZYWcqQz5ZJiJ3lcUBQMi5IVdeBGS1+NQdJovPCogNgUkCpq1t6t8n1Z8cbA7d58CAQJIE9K0tHmIlWQqikiNQZMfoX082zVMklvZp7SNs4qUflKwwvXRPHstE5K6yOADwNA2E3QEBWS0+iwmTxWcFxIbAJAHT1jb1n0w6fdFj6OmEXIVAGAL61hYPscJoI0vuBIrsGE9FewqrazH7tPYRdBo33k9W2MZ67IctE5G7yuIAwJ44EfZKQFbL6go3HB1vyLJaDo4QiEjAtLVN/Q1K8xjaQAWuEHBOQN/a4iGWcxkE3CWBIjvGU9Gewur6zj6tfQSdxo33kxW2sR77YctE5K6yOACwJ06EvRKQ1bK6wjBDVsvBEQIRCZiuBlN/g9I8hjZQgSsEnBPQt7Z4iOVcBgF3SaDIjvFUtKewur7b8FupUchIwkcqJp4mK2xCa5hLy0TkrrI4AAgzK2TJkYCsltXqwwxZLQdHCEQkYLoaTP0NSvMY2kAFrhBwTkDf2uIhlnMZBNwlgSI7xlPR9jvxSC2WrHBPExUJs4u0y0TkrrI4AHDBnBj7JCCrZXV9YYasloMjBCISMF0Npv4GpXkMbaACVwg4J6BvbfEQy7kMAu6SQJEdU2TRObYvEzWetWUicldZHACM+fF8vwQ+XoaPD22hslq0rp1DmCFdNr5CICQB3wvI4y8ajBamaZ0h54BcEDgnoG9t8RDrPAbPIDBNoMiOKbLo6flP+yoTNZ6fZSJyV1kcAIz58Xy/BF6Ow8eLtlBZLVrXziHMkC4bXyEQksD5AlKLqd20/5x61q6GyXuT47YWoz85MFqY53Xqv1Fslc04CNgT0Le2eIhln5cIJRAosmP0ryclTH0GNRbZnYvzskxE7iqLA4BFmNzcFYGX49Pf7vF01P9cL6tlNYYwQ1bLwRECDgkEWEDb1OqXnd5jkNm0zsFQTAgEJqBvbfEQK7BI0mVKgI7JdOKKkE13jqd5mYjcVRYHAGN+PN8vgZfj34/u8dfPAcCGo2NZk/slT2W7IBBgAW3jpF9Deo9BZtM6B0MxIRCYgL61xUOswCJJlykBOibTiStCNt05nuZlInJXWRwAjPnxfL8ETH+ul9Xik0mYLD4rIHYhBNJcQBV8/RrSewzm0LTOwVBMCAQmoG9t8RArsEjSZUqAjsl04kT2ht9KyeC0LbpzPD/LROSusiwOAO7+jVPzHAJJEzD8uf7fXZBqWEhBMJPEnkCaC6iqS17X5oo0WmWGdc7l5DoE/BNY8TIly0Ms/8LIsAcCdIy7WYy0E7efwkjC9eTtS9PnyMtjmYjcVZbFAcCPr/qPUc8LHWp3TsDs5/qPrz+C8GAhBcFMEnsCaS6gqi55XZsr0miVmdU5l5LrEPBPYM3LlCwPsfwrI8MeCNAx7mYxEkv7tPYR3EE8i5SssDOVIZ8sE5G7yrI4ADh9vRl+pjo2BNInMPwMAK3ae+XRnn76+yhzFpJ2KnBIhIDRAvoS7IVPXtdmU5qtMqM6E5kbZBRJYMUqk+Uh1uxC4QYEBgTomAEMSzMSS/u09hEsyc0NT1bYnGDv15eJyF1l2RwAeC+FBBBwSoBf7DnFSbDSCCS7gBy/RTHZOktrOOp1QmD8Y5+ToAQpgoD0ThHlqiIdv5505CKxtE9rH6FD4PhrssIc17k+3DIRuassDgDWk8UzdwL8XJ/7DKI/KoFSFlApdUZtJpIHIzD+sS9YYhJlT0B6J/tS1hfgqWhPYXV12ae1j6DTuPF+ssI21mM/bJmI3FUWBwD2xImQCwF+rs9lptCZJIFSFlApdSbZZIhyTmD8Y5/zBATcLQHpnd2WeFmYp6I9hb3Uf37FPq19hHNFzp4lK8xZhaaBlonIXWVxAGDKF/98CfBzfb5zh/IECJSygEqpM4GWQkIAAuMf+wKkJMVOCEjv7KSgNWV4KtpTWF1F9n/QEEm4rrA1n/6rj7Evj+WpkrvK4gBgX7NPNUsEXo5Pf7vH0/FlyZV7EIDAmEApC6iUOsfzy/N9Ehj/2LfPKqnKBwHpHR/RE43pqWj7nXgkXskK9zRRkTC7SLtMRO4qiwMAF8yJkQeBl7NPieYAII9ZQ2UyBBJeQOv/kY4Vnl/5RpFMzyHEnsD4xz77iEQohYD0TikVV3UWWXSO88tEjWdtmYjcVRYHAGN+PN8vgY+X4eNjv4VSGQR8EChlAZVSp48eIWZ6BMY/9qWnEEWpEpDeSVWhB11FFu2Bo/eQTNQY8TIRuassDgDG/HieEYH//vx5XS335+/VrjhCoAgCpSygUuosomkp0pTA+Mc+0/H4l0tAeqcgBsm+5b2gOVhVapHduUhmmYjcVRYHAIswuZk0gS9Xt7eHx3mJX8++j3/6Ou95eed8bH9/5nJ/HwMC+RAoZQGVUmc+nYfSkATGP/aFzE2uvAlI7+RdB+r3SIDuHM/qMhG5qywOAMb8eJ4PgbdK6n+HX7OCz7f8589mB7U3ZrxnLuuicR8CCRIoZQGVUmeCLYakBAiMf+xLQBISMiEgvZOJYGQWRIDuHE/2MhG5qywOAMb8eJ4+gdfPd/df6h/q68fxh/pa///50+3D0+mluv3t/XR6Ot48Pr51z07N3v3Xw+3nf5Xnz7v730+/ZGR3/dtzda26ocb++P10d197nV+WYVgQyJBAKQuolDozbEEkByQw/rEvYGpSZU5AeifzQsqVf/ZG2H1hoDvH87lMRO4qiwOAMT+ep0/g+uvf5+/1Nv50en+6kk8B+HX4/vf3t9PPn3+f7++rNwfcffrz56N71hwAPF39fP50/X76fv3r+dPxS19qd/10W3+zfPzSjn04Pj7/PFSfHXB+uR+GAYEcCZSygEqpM8ceRHM4AuMf+8JlJlPuBKR3cq8kvv5IO3H7KYwkXD9j9qXpc+TlsUxE7iqLA4C8Zhe1FYF/h+63/6+Hw9UfYXItbwZ4P1TnAv379ftn1/V3suP309Wv0+njWg4Auuv9Tl+Nfbip3L/dygGAhJSsWBDIi0ApC6iUOvPqPtQGJzD+sS+4ABJmS0B6J9sSkhEeiaV9WvsInuYgWWGe6tWHXSYid5XFAYCeKB6pEbi9+fZXaXp7/X5ozdPptd70V4/37w/VhwNW7+VvDgCGz/41Hl8+vR7q9w986g8Auuvjnf5D7fH38DE6F6iT8IBAtgRKWUCl1JltIyI8CIHxj31BkpJkFwSkd3ZRTtQiIrG0T2sfwRP3ZIV5qlcfdpmI3FUWBwB6onikRuDj1+PVjfoTgGob/6mT91+zrT+d7j79fX09VO8MaA4Ahs/Uxv/rw/gAoLt+cQBQ/8MBL4d3DgA6xnzdA4FSFlApde6hJ6nBH4Hxj33+MhF5bwSkd/ZW2UI9nt7yHomlfVr7CAuwbW4lK8ymKKuxy0TkrrI4ALCCzeBYBD5uv7WpPz10Gt7rTf/p9FafA/zrDgDOnn3U7ws43X/5aDzlMwC669W975XDXfWL/+bw4KGO/etqfLm6yAMCWRMoZQGVUmfWzYh4vwTGP/b5zUb0PRGQ3tlTVZpaPBXtKaymmJN9WvsIOo0b7ycrbGM99sOWichdZXEAYE+cCIEJvFVv+n+/qQ5pn/6dPn4dnvr0n2+qvwF4+aiufDzUW/yv9+8f8qze0n++fTv9Pvx3+nLz8vb1qv8TgP766dvN++nXobpRjz3VUd5uqqOG88t9QgwIZEiglAVUSp0ZtiCSQxIY/9gXMje58iYgvZN3HUbqPRXtKayuNPu09hF0GjfeT1bYxnrshy0TkbvK4gDAnjgRAhN4vT4cD48f1e/lD4fD4IP/Th+Ph+vDp9PT4Xj1s/5wwH/3V4fX/ll9APB+f7i+qo4OPj5fXX977N5EINdP77eHq8fqXwFQYx++3F0fHqpM55cD10s6CDglUMoCKqVOp81BsP0RGP/Yt78KqcgXAekdXxkSjOupaE9hdQDt/6AhknBdYdUHeutdCvNYJiJ3lcUBQGHtsY9y317fm0LeX9/OC1IXPl6rPXv/OH/2Jvdu5L0D1R8OdNf/DUI+fDv9az9rYHi5D40BgSwJlLKASqkzyyZEdCgC4x/7QuUlT/4EpHfyr2V1BZ6Ktt+Jr67ArWOywj1NlFt6QaMtE5G7yuIAIOjkkCwRAv/9ev3v8/XwmGBSWHUAwAMCELggUMoCKqXOiwnmwo4IjH/s21FplOKZgPSO50QphS+y6JQmYK0WJmpMapmI3FUWBwBjfjzPjsDbo3oMfnWvq+H14ebm8d9JN/Lxhy4Q9yGQPQHdMpgoMMsFVEqdE/PFpZIJjH/sK5kFtZsRkN4xG5e1d5FF5zhjTNR41paJyF1lcQAw5sfz7Ah8PKuH9hf6F5VtH3kRigsQyJXA9mWwfWQMVtvVbh8Zo05yQuCMwPjHvrObPIHAAgHpnQWnvd1K9i3vewNtW0+R3bkIbZmI3FUWBwCLMLkJAQhAAAIQgAAEciUw/rEv1zrQHZ6A9E743GSEwDIBunPMZ5mI3FUWBwBjfjyHAAQgAAEIQAACuyAw/rFvF0VRRBAC0jtB0pEEAgYE6M4xrGUicldZHACM+fEcAhCAAAQgAAEI7ILA+Me+XRRFEUEISO8ESUcS9wR2/AcNdOe4XZaJyF1lcQAw5sdzCEAAAhCAAAQgsAsC4x/7dlEURQQhIL0TJN2uk0TaidtPYSTh+mawL02fIy+PZSJyV1kcAOQ1u6iFAAQgAAEIQAACKwmMf+xbOQw3CJykd4BhSyASS/u09hFs0c2MT1bYjF7/l5eJyF1lcQDgf0bIAAEIQAACEIAABCIQGP/YF0ECKTMlIL2TaQEJyY7E0j6tfQRPs5CsME/16sMuE5G7yuIAQE8UDwhAAAIQgAAEIJAhgfGPfRmWgORIBKR3IgmIkdbTW94jsbRPax/B0ywmK8xTvfqwy0TkrrI4ANATxQMCEIAABCAAAQhkSGD8Y1+GJSA5EgHpnUgCYqT1VLSnsDpC9mntI+g0bryfrLCN9dgPWyYid5XFAYA9cSJAAAIQgAAEIACBBAmMf+xLUCKSEiUgvZOoQB+yPBXtKayOgH1a+wg6jRvvJytsYz32w5aJyF1lcQBgT5wIEIAABCAAAQhAIEEC4x/7EpSIpEQJSO8kKtCHLE9FewqrI2D/Bw2RhOsKO/ERlReIlqdK7iqLA4ALgFyAAAQgAAEIQAACeyAw/rFvDzVRQxgC0jth8iWRxVPR9jvxSHSSFe5poiJhdpF2mYjcVRYHAC6YEwMCEIAABCAAAQgkR2D8Y19yAhGULAHpnWQluhdWZNHuMfqPyESNGS8TkbvK4gBgzI/nEIAABCAAAQhAYBcExj/27aIoighCQHonSLo0khRZdBrozVQwUWNey0TkrrI4ABjz4zkEIAABCEAAAhDYBYHxj327KIoighCQ3gmSLo0kyb7lPQ086agosjsX8S8TkbvK4gBgESY3IQABCEAAAhCAQK4Exj/25VoHusMTkN4Jn5uMEFgmQHeO+SwTkbvK4gBgzI/nEIAABCAAAQhAYBcExj/27aIoighCQHonSDqSQMCAAN05hrVMRO4qiwOAMT+eQwACEIAABCAAgV0QGP/Yt4uiKCIIAemdIOlI4p7Ajv+gge4ct8syEbmrLA4Axvx4DgEIQAACEIAABHZBoP+x7+VmF/VQRDgCfe+ES7nbTJF24vZTGEm4vhHsS9PnyMtjmYjcVRYHAHnNLmohAAEIQAACEIDASgLdj30vty8rR+AGAUWg6x142BOIxNI+rX0Ee3iTEZIVNqk2xMVlInJXWRwAhJgTckAAAhCAAAQgAIHgBNof+9j/Byeff0LZMuRfS+wKIrG0T2sfwRP6ZIV5qlcfdpmI3FUWBwB6onhAAAIQgAAEIACBDAmoH/bY/2c4ddEly5YhupRwAjy95T0SS/u09hE8zV2ywjzVqw+7TETuKosDAD1RPCAAAQhAAAIQgECGBJof9tj/Zzhz8SXLliG+lmAKPBXtKawOi31a+wg6jRvvJytsYz32w5aJyF1lcQBgT5wIEIAABCAAAQhAIEEC9Q977P8TnJgMJMmWIQOxriR6KtpTWF3V9mntI+g0bryfrLCN9dgPWyYid5XFAYA9cSJAAAIQgAAEIACBBAlUP+yx/09wXnKQJFuGHNQ60uipaE9hdUXb/0FDJOG6wk6nZIXppXvyWCYid5XFAYCnaSAsBCAAAQhAAAIQiEvgyP4/7gRknF22DBkXYSrdU9H2O3HTQhz5Jyvc00Q5whYjzDIRuassDgBizBE5IQABCEAAAhCAgHcCR37/753xXhPIlmGvFU7UVWTRExySv8REjadomYjcVRYHAGN+PIcABCAAAQhAAAK7IHC8fdlFHRQRnoBsGcLnjpaxyKKj0bZIzESN4S0TkbvKujwAOPKAAAQgAAEIQAACENgBAfb/45+Teb6SgGwZVg7Yg1uyb3nfA1yXNRTZnYsAl4nIXWVdHAAsxuYmBCAAAQhAAAIQgAAEILBzArJl2HmhlJchAbpzPGnLROSusjgAGPPjOQQgAAEIQAACEIAABIomIFuGojFQfJIE6M7xtCwTkbvK4gBgzI/nEIAABCAAAQhAAAIQKJqAbBmKxpBz8Tv+gwa6c9yYy0TkrrI4ABjz4zkEIAABCEAAAhCAAASKJiBbhqIxOCk+0k7cfgojCddDty9NnyMvj2UicldZHADkNbuohQAEIAABCEAAAhCAgGcCsmXwnKiA8JFY2qe1j+BpdpMV5qlefdhlInJXWRwA6IniAQEIQAACEIAABCAAgYIIyJahoKI9lRqJpX1a+wj7IuqpGhdhl6dK7iqLAwAXzIkBAQhAAAIQgAAEIACB3RCQLcNuStIX4ukt75FY2qe1j6BnvskjWWGbqnExaJmI3FUWBwAumBMDAhCAAAQgAAEIQAACuyEgW4bdlKQvxFPRnsLq6rFPax9Bp3Hj/WSFbazHftgyEbmrLA4A7IkTAQIQgAAEIAABCEAAAjsiIFuGHRWlK8VT0Z7C+q8mknBdYadTssL00j15LBORu8riAMDTNBAWAhCAAAQgAAEIQAACeRKQLUOe+jep9lS0p7C6Eu3/oCGScF1hHABcElqeKrmrLA4ALglyBQIQgAAEIAABCEAAAgUTkC1DQRA8FW2/E480B8kK9zRRkTC7SLtMRO4qiwMAF8yJAQEIQAACEIAABCAAgd0QkC3DbkrSF1Jk0Xos6XkwUeM5WSYid5XFAcCYH88hAAEIQAACEIAABCBQNAHZMhSEociic5xfJmo8a8tE5K6yOAAY8+M5BCAAAQhAAAIQgAAEiiYgW4aCMCT7lveC5mBVqUV25yKZZSJyV1kcACzC5CYEIAABCEAAAhCAAARKIyBbhtIqp970CdCd4zlaJiJ3lcUBwJgfzyEAAQhAAAIQgAAEIFA0AdkyFI2B4pMkQHeOp2WZiNxVFgcAY348hwAEIAABCEAAAhCAQNEEZMtQNIaci9/xHzTQnePGXCYid5XFAcCYH88hAAEIQAACEIAABCBQNAHZMhSNwUnxkXbi9lMYSbgeun1p+hx5eSwTkbvK4gAgr9lFLQQgAAEIQAACEIAABDwTkC2D50QFhI/E0j6tfQRPs5usME/16sMuE5G7yuIAQE8UDwhAAAIQgAAEIAABCBREQLYMBRXtqdRILO3T2kfYF1FP1bgIuzxVcldZHAC4YE4MCEAAAhCAAAQgAAEI7IaAbBl2U5K+EE9veY/E0j6tfQQ9800eyQrbVI2LQctE5K6yOABwwZwYEIAABCAAAQhAAAIQ2A0B2TLspiR9IZ6K9hRWV499WvsIOo0b7ycrbGM99sOWichdZXEAYE+cCBCAAAQgAAEIQAACENgRAdky7KgoXSmeivYU1n81kYTrCjudkhWml+7JY5mI3FUWBwCepoGwEIAABCAAAQhAAAIQyJOAbBny1L9JtaeiPYXVlWj/Bw2RhOsK4wDgktDyVMldZXEAcEmQKxCAAAQgAAEIQAACECiYgGwZCoLgqWj7nXikOUhWuKeJioTZRdplInJXWRwAuGBODAhAAAIQgAAEIAABCOyGgGwZdlOSvpAii9ZjSc+DiRrPyTIRuassDgDG/HgOAQhAAAIQgAAEIACBognIlqEgDEUWneP8Dibq42X4+MixGheaB0QmwsldZXEAMAGJSxCAAAQgAAEIQAACECiXgGwZCmKQ7FveC5qDVaUOuvPlOHy8rBq+Q6cBkYnq5K6yOACYgMQlCEAAAhCAAAQgAAEIlEtAtgzlMqDyVAkMuvPl+PS3ezwdOQCYnDLhxQHAJCAuQgACEIAABCAAAQhAoGwCsmUomwPVp0hg0J0vx78f3eMvBwDTsyW8OACYJsRVCEAAAhCAAAQgAAEIFE1AtgxFY8i5+B3/QcOgOzkAaHp0QGSiZ+WusvgTgAlIXIIABCAAAQhAAAIQgEC5BGTLUC4DV5VH2onbT+FP9ef1rf6Ent1975VxAFC36b+7xWaVVuAAYBEUNyEAAQhAAAIQgAAEIFAmAdkylFm/y6ojsYyU1iW5uVg/vvYf988BQAXp4+uPOVTNdWkFZfEOgEVc3IQABCAAAQhAAAIQgEBpBGTLUFrl7uuNxDJSWvf8JiJ+vZHP/h9+BoBcLcv6MsFocElaQVkcAAzgYEIAAhCAAAQgAAEIQAACsmUoiIWn9+pHYhkpbeB+4R0AK4BLKyiLA4AV0HCBAAQgAAEIQAACEIBAOQRky1BOzSdPRXsKW01MQn+WH0vLV/4VAP0KlQ5UFgcAemZ4QAACEIAABCAAAQhAoCACsmWgaFsCPliueLOCj7S2KNyP5x0AK5hKKyiLA4AV0HCBAAQgAAEIQAACEIBAOQRky1BOzTm9A2DF/Kw4I9jB3HIAsGISpVs4AFiBCxcIQAACEIAABCAAAQiURkC2DAVV7qloHztxT1Lzm+yX49Pf7vF0fMmvgBCKpVuUxTsAQlAnBwQgAAEIQAACEIAABLIhIFuGbCTbC82o6Iyk2s/LUoSXs4/75wBgkpV0i7I4AJjExEUIQAACEIAABCAAAQiUSkC2DAURyKjojKT6baCPl+Hjw2+yXKNLtyiLA4BcZxLdEIAABCAAAQhAAAIQ8EJAtgxewqcZ1Md79T1VWuT8zLJ8+nV+6+fv8+elP5NuURYHAKV3BPVDAAIQgAAEIAABCEDgjIBsGc4u8yQRAszPcCI+fxk+O50+fzt/Xvoz6RYOAErvBeqHAAQgAAEIQAACEIDABAHZMkzc5FJ0Ahm9WSEAq/EBQICUWaWQ1cwBQFYTh1gIQAACEIAABCAAAQiEISBbhjD5yOKcwK7PCH78/nV//6tm9vPu/nd1APBf9SaA98fqrf9/vlfXmjvOiWYbUFazsvgTgGynEuEQgAAEIAABCEAAAhDwQUC2DD6ilxUz0k5811P4cPz8/OPwt9rrXz09Pxy/nN4O/05/Dven06fq7f+fvpbVYbpqpRU4ANCx4j4EIAABCEAAAhCAAAQKJCBbhgKLd1xyJJaR0jqGNxPu4a668VDt86+fTqePq+rX/zdPp69fDh+nq2cOAMbQpBWUxTsAxoR4DgEIQAACEIAABCAAgaIJyJahaAxOio/EMlJaJ8i0Qeq9/+nr4+lf9Yv/6iSgOgContz8vXt+qc4AeAfAiJ+0grI4ABgB4ikEIAABCEAAAhCAAATKJiBbhoI4eHqvfiSWkdKG6ZeH+nP+v346vR7eKuOxOgD4c/129fHt64/qrwA4ABhNgrSCsjgAGAHiKQQgAAEIQAACEIAABMomIFuGgjh4KtpTWN3EREqrk+XmfncA8HGo3vF/uqkOAN4PXx9Of28fvlfP+QyAc8rSCsriAOCcD88gAAEIQAACEIAABCBQOAHZMhQEwlPRPsKueLOCj7TJNEN3AHB6vHs/PR2qA4DT3eHH6eNweKlMDgDOJ0paQVkcAJzz4RkEIAABCEAAAhCAAAQKJyBbhoJAeCraR9gVMVecEeQ7t/0BwNvd4fqh/hOA07fDf6fT/VVdEwcA5zMr3aIsDgDO+fAMAhCAAAQgAAEIQAAChROQLUNBIDwV7WMn7klqjpP9r/4YQB5LBKRblMUBwBIt7kEAAhCAAAQgAAEIQKA4ArJlKKj0jIrOSGpBDZRqqdItyuIAINWZQhcEIAABCEAAAhCAAASiEJAtQ5T0cZJmVHRGUuPMJVkHBKRblMUBwAAOJgQgAAEIQAACEIAABCAgW4aCWPh4r74nfEXOjyeW+w8r3cIBwP5nmwohAAEIQAACEIAABCBgTEC2DMZDGRCAAPMTAPJuUki3cACwm0mlEAhAAAIQgAAEIAABCLgjIFsGdzGJ5I5ARm9WcFc0kTYSkNXMAcBGhAyDAAQgAAEIQAACEIDAngnIlmHPVe66Ns4Idj29JsXJauYAwIQbvhCAAAQgAAEIQAACECiEgGwZCinYY5mRduJMocc5zSu0tAIHAHnNHGohAAEIQAACEIAABCAQhIBsGYKk23WSSCwjpd31VGZanLSCsvhXADKdSGRDAAIQgAAEIAABCEDADwHZMviJX1LUSCwjpS1pZnOpVVpBWRwA5DJz6IQABCAAAQhAAAIQgEAQArJlCJIujSSe3qsfiWWktGlMJSqGBKQVlMUBwJAONgQgAAEIQAACEIAABIonIFuGglB4KtpTWN3EREqrk8X98ASkFZTFAUD4OSAjBCAAAQhAAAIQgAAEEiYgW4aERbqW5qloH2FXvFnBR1rXxIkXhIC0grI4AAiCnSQQgAAEIAABCEAAAhDIhYBsGXJR7ECnp6J9hF0Rc8UZgQNmhMiAgHSLsjgAyGDSkAgBCEAAAhCAAAQgAIFwBGTLEC5n9EyeivaxE/ckNfoUIMAHAekWZXEA4IMyMSEAAQhAAAIQgAAEIJAtAdkyZFuCufCMis5Iqvk8MMIxAekWZXEA4Bgw4SAAAQhAAAIQgAAEIJA3Adky5F2HkfqMis5IqtEU4OyDgHSLsjgA8EGZmBCAAAQgAAEIQAACEMiWgGwZsi3BXLiP9+qbq1g1osj5WUUGp0sC0i0cAFzS4QoEIAABCEAAAhCAAASKJyBbhuJRJAmA+UlyWhIVJd3CAUCiU4QsCEAAAhCAAAQgAAEIxCQgW4aYKsg9RyCjNyvMlcD1YARkNXMAEAw6iSAAAQhAAAIQgAAEIJAPAdky5KMZpWcEOCM4w1HyE1nNHACU3AfUDgEIQAACEIAABCAAgRkCsmWYceDyagKRduJM4eoZ2rujtAIHAHufa+qDAAQgAAEIQAACEIDABgKyZdgwmCFnBCKxjJT2rHSeJEFAWkFZ/CsASUwLIiAAAQhAAAIQgAAEIJAKAdkypKIoXx2RWEZKm+887Ve5tIKyOADY71xTGQQgAAEIQAACEIAABDYQkC3DhsG5DvH0Xv1ILCOlzXXy96xbWkFZHADsebapDQIQgAAEIAABCEAAAsYEZMtgPDTfAZ6K9hRWxzlSWp0s7ocnIK2gLA4Aws8BGSEAAQhAAAIQgAAEIJAwAdkyJCzStTRPRfsIu+LNCj7SuiZOvCAEpBWUxQFAEOwkgQAEIAABCEAAAhCAQC4EZMuQi2IHOj0V7SPsipgrzggcMCNEBgSkW5TFAUAGk4ZECEAAAhCAAAQgAAEIhCMgW4ZwOaNn8lS0j524J6nRpwABPghItyiLAwAflIkJAQhAAAIQgAAEIACBbAnIliHbEsyFZ1R0RlLN54ERjglItyiLAwDHgAkHAQhAAAIQgAAEIACBvAnIliHvOozUZ1R0RlKNpgBnHwSkW5TFAYAPysSEAAQgAAEIQAACEIBAtgRky5BtCebCfbxX31zFqhFFzs8qMjhdEpBu4QDgkg5XIAABCEAAAhCAAAQgUDwB2TIUjyJJAMxPktOSqCjpFg4AEp0iZEEAAhCAAAQgAAEIQCAmAdkyxFRB7jkCGb1ZYa4ErgcjIKuZA4Bg0EkEAQhAAAIQgAAEIACBfAjIliEfzSg9I8AZwRmOkp/IauYAoOQ+oHYIQAACEIAABCAAAQjMEJAtw4wDl1cTiLQTZwpXz9DeHaUVOADY+1xTHwQgAAEIQAACEIAABDYQkC3DhsEMOSMQiWWktGel8yQJAtIKyuJfAUhiWhABAQhAAAIQgAAEIACBVAjIliEVRfnqiMQyUtp852m/yqUVlMUBwH7nmsogAAEIQAACEIAABCCwgYBsGTYMznWIp/fqR2IZKW2uk79n3dIKyuIAYM+zTW0QgAAEIAABCEAAAhAwJiBbBuOh+Q7wVLSnsDrOkdLqZHE/PAFpBWVxABB+DsgIAQhAAAIQgAAEIACBhAnIliFhka6leSraR9gVb1bwkdY1ceIFISCtoCwOAIJgJwkEIAABCEAAAhCAAARyISBbhlwUO9DpqWgfYVfEXHFG4IAZITIgIN2iLA4AMpg0JEIAAhCAAAQgAAEIQCAcAdkyhMsZPZOnon3sxD1JjT4FCPBBQLpFWRwA+KBMTAhAAAIQgAAEIAABCGRLQLYM2ZZgLjyjojOSaj4PjHBMQLpFWRwAOAZMOAhAAAIQgAAEIAABCORNQLYMeddhpD6jojOSajQFOPsgIN2iLA4AfFAmJgQgAAEIQAACEIAABLIlIFuGbEswF+7jvfrmKlaNKHJ+VpHB6ZKAdAsHAJd0uAIBCEAAAhCAAAQgAIHiCciWoXgUSQJgfpKclkRFSbdwAJDoFCELAhCAAAQgAAEIQAACMQnIliGmCnLPEcjozQpzJXA9GAFZzRwABINOIghAAAIQgAAEIAABCORDQLYM+WhG6RkBzgjOcJT8RFYzBwAl9wG1QwACEIAABCAAAQhAYIaAbBlmHLi8mkCknThTuHqG9u4orcABwN7nmvogAAEIQAACEIAABCCwgYBsGTYMZsgZgUgsI6U9K50nSRCQVlAW/wpAEtOCCAhAAAIQgAAEIAABCKRCQLYMqSjKV0cklpHS5jtP+1UuraAsDgD2O9dUBgEIQAACEIAABCAAgQ0EZMuwYXCuQzy9Vz8Sy0hpc538PeuWVlAWBwB7nm1qgwAEIAABCEAAAhCAgDEB2TIYD813gKeiPYXVcY6UVieL++EJSCsoiwOA8HNARghAAAIQgAAEIAABCCRMQLYMCYt0Lc1T0T7Crnizgo+0rokTLwgBaQVlcQAQBDtJIAABCEAAAhCAAAQgkAsB2TLkotiBTk9F+wi7IuaKMwIHzAiRAQHpFmVxAJDBpCERAhCAAAQgAAEIQAAC4QjIliFczuiZPBXtYyfuSWr0KUCADwLSLcriAMAHZWJCAAIQgAAEIAABCEAgWwKyZci2BHPhGRWdkVTzeWCEYwLSLcriAMAxYMJBAAIQgAAEIAABCEAgbwKyZci7DiP1GRWdkVSjKcDZBwHpFmVxAOCDMjEhAAEIQAACEIAABCCQLQHZMmRbgrlwH+/VN1exakSR87OKDE6XBKRbOAC4pMMVCEAAAhCAAAQgAAEIFE9AtgzFo0gSAPOT5LQkKkq6hQOARKcIWRCAAAQgAAEIQAACEIhJQLYMMVWQe45ARm9WmCuB68EIyGrmACAYdBJBAAIQgAAEIAABCEAgHwKyZchHM0rPCHBGcIaj5CeymjkAKLkPqB0CEIAABCAAAQhAAAIzBGTLMOPA5dUEIu3EmcLVM7R3R2kFDgD2PtfUBwEIQAACEIAABCAAgQ0EZMuwYTBDzghEYhkp7VnpPEmCgLSCsvhXAJKYFkRAAAIQgAAEIAABCEAgFQKyZUhFUb46IrGMlDbfedqvcmkFZXEAsN+5pjIIQAACEIAABCAAAQhsICBbhg2Dcx3i6b36kVhGSpvr5O9Zt7SCsjgA2PNsUxsEIAABCEAAAhCAAASMCciWwXhovgM8Fe0prI5zpLQ6WdwPT0BaQVkcAISfAzJCAAIQgAAEIAABCEAgYQKyZUhYpGtpnor2EXbFmxV8pHVNnHhBCEgrKIsDgCDYSQIBCEAAAhCAAAQgAIFcCMiWIRfFDnR6KtpH2BUxV5wROGBGiAwISLcoiwOADCYNiRCAAAQgAAEIQAACEAhHQLYM4XJGz+SpaB87cU9So08BAnwQkG5RFgcAPigTEwIQgAAEIAABCEAAAtkSkC1DtiWYC8+o6Iykms8DIxwTkG5RFgcAjgETDgIQgAAEIAABCEAAAnkTkC1D3nUYqc+o6IykGk0Bzj4ISLcoiwMAH5SJCQEIQAACEIAABCAAgWwJyJYh2xLMhft4r765ilUjipyfVWRwuiQg3cIBwCUdrkAAAhCAAAQgAAEIQKB4ArJlKB5FkgCYnySnJVFR0i0cACQ6RciCAAQgAAEIQAACEIBATAKyZYipgtxzBDJ6s8JcCVwPRkBWMwcAwaCTCAIQgAAEIAABCEAAAvkQkC1DPppRekaAM4IzHCU/kdXMAUDJfUDtEIAABCAAAQhAAAIQmCEgW4YZBy6vJhBpJ84Urp6hvTtKK3AAsPe5pj4IQAACEIAABCAAAQhsICBbhg2DGXJGIBLLSGnPSudJEgSkFZTFvwKQxLQgAgIQgAAEIAABCEAAAqkQkC1DKory1RGJZaS0+c7TfpVLKyiLA4D9zjWVQQACEIAABCAAAQhAYAMB2TJsGJzrEE/v1Y/EMlLaXCd/z7qlFZTFAcCeZ5vaIAABCEAAAhCAAAQgYExAtgzGQ/Md4KloT2F1nCOl1cnifngC0grK4gAg/ByQEQIQgAAEIAABCEAAAgkTkC1DwiJdS/NUtI+wK96s4COta+LEC0JAWkFZHAAEwU4SCEAAAhCAAAQgAAEI5EJAtgy5KHag01PRPsKuiLnijMABM0JkQEC6RVkcAGQwaUiEAAQgAAEIQAACEIBAOAKyZQiXM3omT0X72Il7khp9ChDgg4B0i7I4APBBmZgQgAAEIAABCEAAAhDIloBsGbItwVx4XfTP3+q/6dH1Xf1jnZc+zoJHkfOzwINbSwSkW5TFAcASLe5BAAIQgAAEIAABCECgOAKyZSio9LroT1/Vf+Oyvza/x//8bXx96nntpfyn7m68dh6wyPnZSI5h0i3K4gCAnoAABCAAAQhAAAIQgAAEBgRkyzC4uHez3uPPHQDU100epv7a2OcBi5wfLSMcpglIt3AAME2IqxCAAAQgAAEIQAACECiagGwZ9o7h+dPtw1NV5K+H28//BgcAz5/uHv+ri28cno43j49vp5+/xPPH71/39/Xzi0fl1fpXg5soP34/3d8/n37ePfy98L64UDt/Ob18vrv/9l7dfK2ML29twE7VsfG5GMoFCEwQkNWsLN4BMAGJSxCAAAQgAAEIQAACECiXgGwZds7g1+H739/VW/afrn4+f7p+798B8Ovq59/vV6/VwUDj8N/dpz9/Ppq7nefD8fPzj8PUhr76ZX3r30Wpfb8dvnx5/npV7+mXHw/HT3+qw4Kff5/v7yvP669/n7//UwG7eKfbxmc5DnchoAjIauYAgJ6AAAQgAAEIQAACEIAABC4IyJbh4ta+Llz/UPVc1+//P37vDwCu63cFfPlc7b+Vg3oHfv3/zvPhrvJ4mPrLgNpL+XdRGt9js53Xf4zgw62SdDq9H15P/w5vzdMmYBfvJD6d78VXH//4wEUSLuRAQFYzBwA5zBcaIQABCEAAAhCAAAQgEJiAbBkCJw6c7rXaYtePf83XL5+6A4DXw9fv379X2+zOQW3oq//3ns3e/+vjhODat/FXUW5v1TnBff0Jgrf6fbk6VHivst8enqsRN9/qtxnUAXtV0wcP51JKmcLzqnk2QUBagQOACTxcggAEIAABCEAAAhCAQOkEZMuwbxL/Haq/+68er83Xrw/dAcB/h28/qsfTqXNoNvT13d7zod7Pf/3UDD//X+3b+Ksox6dT43v/vXJbcwBQBz7dffr7+nr4czp9/Hq8uvnXBOxVqYC12/yjlCmcJ8CdloC0AgcANAUEIAABCEAAAhCAAAQgcEFAtgwXt3Z14b3eYlePj/p37afqs/fazXt3vXoXvnJoNvT13d5zxQGAGlyxND8AeKtPJP516m6/NcI6MW3ARvns/0qZwlkA3OgISCsoiw8B7MjwFQIQgAAEIAABCEAAAhCoCMiWYec4Pt9UfwPwcjp9vn07fT781x0AnJrrr9V771uHr/fvH+r3+rXn78pz+QBA+TeDj383HAB8HJ5OHw/VAcBbpeH95uepCdirapIvT00xU7iMgbvD1cwBAP0AAQhAAAIQgAAEIAABCFwQKGb3+PF4uD5U7+N/vz9cH6u/z2/fAXD6+HK4vrr+Vb03QDn8u7+qPiagvlt7XlWeywcAyr+Jcvy14QDg9HQ4Xv28+nN6vT4cD48fpyZgr4oDgIuW5cIsAVnNHADMQuIGBCAAAQhAAAIQgAAEyiUgW4bdM3h/VR+z//Z6XvRHe/3UOfQk3l6rNwOsfFRRzsOuHFedPHRZ3l7fZVCrSv9RguW8iUPgYE0TkA5UFn8CMM2JqxCAAAQgAAEIQAACECiUgGwZCgLgqWgfYVfEXHFGUNDcFl2qdIuyOAAouh0oHgIQgAAEIAABCEAAAmMCsmUY39nxc09F+9iJe5K648ktuTTpFmVxAFByN1A7BCAAAQhAAAIQgAAELgjIluHi1n4vuC9a/RuDNTGxnPBzL9WJLIIkSUC6RVkcACQ5TYiCAAQgAAEIQAACEIBALAKyZYilIEJe90X/qv59gebx8sttPe6lutVHtJQISLcoiwOAlGYHLRCAAAQgAAEIQAACEIhOQLYM0aWEE+D+vfrvt+oE4OV28Dl+Lgoqcn5cgCsyhnQLBwBFNgBFQwACEIAABCAAAQhAYJmAbBmW/bi7TODxpj4BeDl+W3Yzvsv8GCMreIB0CwcABbcBpUMAAhCAAAQgAAEIQGCOgGwZ5jy4vobA72N1AvByPDr+CICT+zcrrKkGnzwJyGrmACDPGUQ1BCAAAQhAAAIQgAAEvBKQLYPXNPsPfnN/+3Rz8zlCoZwRRICeZkpZzRwApDlDqIIABCAAAQhAAAIQgEBUArJliCojWHL5Db1YTpJ/P365Od51nwXoIqQIFGsqbmlTOMWAaw0BaQUOAGgJCEAAAhCAAAQgAAEIQOCCgGwZLm7t8oK3j+v/OB6PN/cuma2VWtoUumS8s1jSChwA7GxqKQcCEIAABCAAAQhAAAIuCMiWwUW09GN4+7j+0+fj8f63SwBrpZY2hS4Z7yyWtAIHADubWsqBAAQgAAEIQAACEICACwKyZXARLYMYX6oP6/t5ern54lrr2/F46zbmt2PzLwvoPliguCl0S3lP0aQVOADY07xSCwQgAAEIQAACEIAABBwRkC2Do4Cph/lXfVz/8eXG+cf1n04PR8cfx1dLrY4qjv8tMy1uCpdxlHxXWoEDgJL7gNohAAEIQAACEIAABCAwQ0C2DDMOu7v8cLx9vD0+9HV9vAwfH/11A0OF+HXz3ETaFOI0JePxePN0e3unUVLeFGqAlHtbWoEDgHK7gMohAAEIQAACEIAABCAwS0C2DLMuO7vxcry5uWneXK8Ke6k+vU8emz7G30GI01SM6rf/N/dH3QcLOH7fwc6mu6hyZDVzAFDUxFMsBCAAAQhAAAIQgAAE1hGQLcM6/x143Vbb/cFf678cn/52j6fBwYBBpQ5CVAcAEzLuK6k3BkJwLZuArGYOAMruBKqHAAQgAAEIQAACEIDAJAHZMkze3uPF39WuevBb9Zfj34/u8XfrAYB1iOoAYCLG7+qw4sce54CavBCQ1cwBgBfABIUABCAAAQhAAAIQgEDeBGTLkHcdJuqrN9YP3Cd33oP7K0wHIaYPAE7VAcCK/LhAoCEgzcIBAC0BAQhAAAIQgAAEIAABCFwQkC3Dxa3dXvhx9lt1B7t3ByFmDgB+Hp3/c4W7nVYKO8lq5gCAdoAABCAAAQhAAAIQgAAELgjIluHi1m4vvN+8D2pzsHt3EGLmAOD95m0gFRMCiwRkNXMAsAiKmxCAAAQgAAEIQAACECiTgGwZCqr/v9PHj/rz9drH8I/vu2uGXx2EOPsMgD793Y9t/6pgQbNJqT0BWc0cAPRQMCAAAQhAAAIQgAAEIACBjoBsGborRXz98vVfV6eDX987CDHzDoDTv6+fO6FzX/lnAOfIFHddVjMHAMVNPgVDAAIQgAAEIAABCEBAT0C2DHrfHXncyO/VHezeHYSYOwA4fWhnSOuwo3mjlEUC0grKOix6cxMCEIAABCAAAQhAAAIQKIyAbBmKKnxQtoPdu4MQswcAgw92m5mhQS0zHlwuhIC0grI4AChk4ikTAhCAAAQgAAEIQAAC6wjIlmGd/068BmU72L07CMEBwE46K2oZ0tYcAESdCJJDAAIQgAAEIAABCEAgTQKyZUhTnydVg7Jfjk9/u8fT8WVLQgchqgOAoYz2QwBrMQOp09q0DtPDuLo/AtIKyuIdAPubYyqCAAQgAAEIQAACEICABQHZMlgEyW/ooOyX/hP3a2PjAcAwxqYQ1QHA8KFiNCoHUqc5ax2mh3F1fwSkFZTFAcD+5piKIAABCEAAAhCAAAQgYEFAtgwWQfIbOij742X4kA8HNCjKQYhTFaM5AVBilIxG5UDqtCStw/Qwru6PgLSCsjgA2N8cUxEEIAABCEAAAhCAAAQsCMiWwSJIfkOTLPtYvd3/TFjz5OzKFGn+GcApKkVek15RFgcARbYBRUMAAhCAAAQgAAEIQGCOgGwZ5jx2eT3Jspt3AAxxNyqTlDpUiZ0MAekVZXEAkMzUIAQCEIAABCAAAQhAAAIpEJAtQwpqgmlItOyRrObp6FowRCTKj4D0irI4AMhvDlEMAQhAAAIQgAAEIAABjwRky+AxSXqhkyybdwCk1yh5KZK25gAgr5lDLQQgAAEIQAACEIAABIIQkC1DkHSpJEmy7I2fAZAKU3REJyBtzQFA9MlAAAQgAAEIQAACEIAABNIjIFuG9LR5VJRk2bwDwOOMFxFa2poDgCImnCIhAAEIQAACEIAABCBgRkC2DGbjMvdOtOyRrObp6Frm4JHvk4D0irL4DACftIkNAQhAAAIQgAAEIACB7AjIliE76TaCHZX96/M3GxUXY5v3AAz+VztopfLPAF5wLPWC9IqyOAAotROoGwIQgAAEIAABCEAAApMEZMsweXuvFx2V/eVws0Tox+2npdvr7mmlah3W5cErfwLSCsriACD/OaUCCEAAAhCAAAQgAAEIOCQgWwaHQdMP5ahszQGA5vY6TFqpWod1efDKn4C0grI4AMh/TqkAAhCAAAQgAAEIQAACDgnIlsFh0PRDmZX97fHp+eHuR13W8+Pt3dd/tfXj7v6P2uFX1+6/v9fX1KPz+XZzuHp8fDm9frm7e/j2fvry+Pt0enr83vmt+6qVqnVYlwev/AlIKyiLA4D855QKIAABCEAAAhCAAAQg4JCAbBkcBk0/lFnZt4fjoXpUf2z/43C4OhyuX0+nr/WVY/0nANW1m+vDTX8C0Pvc1i6HX+/Xh+Pt1eH1dH2oPjHg8XBnhkcrVetglg/vfAlIKyiLA4B85xLlEIAABCAAAQhAAAIQ8EBAtgwegqcb0qzsaif/9/32cH96OxweT/+uD5+U9XpVHQBU136cqk3+97Za8Xn/fLh5e/t4OVx9nE4v7xwApNsPO1Embc0BwE6mlDIgAAEIQAACEIAABCDgkoBsGVxGTT6WWdm3h4fTqX67/5/D4aW2rk7PjfVJXfv0+HhdHQ+oh/g0Q071CcH1/de/Jw4Akm+L3AVKW3MAkPtcoh8CEIAABCAAAQhAAAIeCMiWwUPwdEOalX17+Fxv+4+n34fDf827/+ujgMqqfsVfX7upH49tteLTHgCc/j5UfzZw+KMOAD45/xMA/hnAdPsssDJpaw4AAqMnHQQgAAEIQAACEIAABHIgIFuGHNQ602hWdn8A8N/h8HQ63R1uT6/NRwLcVAcA1bXnStfHWytOfKrPCejyvN0evpxuqr8fqP5WwPVnADiDQqDcCXTtdjopi88AyH1G0Q8BCEAAAhCAAAQgAAGnBGTL4DRs6sHMyu4PAE73h6sv99UH+50q6/D5rvrl/+n0cLj+9uPLdf+LePF5Ohzu7t9ej19//qg/I+Dz4fBQfZogBwCpd0e2+qStlcUBQLZTiXAIQAACEIAABCAAAQj4ICBbBh/Rk41pVrYcALw/Vm/mv67eBXD6V30y4Kf6TwBO1Wf9VY+76o/81UN8PqqPBji8vt3U9x8/Tv8q47P7fwWgy8vX4glIW3MAUHwzAAACEIAABCAAAQhAAAKXBGTLcHlvx1e2l/3x+q/l8tq96f9UXas+518e4qOuvb++qvv/+iHirLO2S9VF5v7eCEivKIt3AOxthqkHAhCAAAQgAAEIQAACVgRky2AVJrfBGZWdkdTcumB3eqVXlMUBwO6mmIIgAAEIQAACEIAABCBgQ0C2DDZRshvro+z6jf7VwzULH1JdayReGgSkV5TlvBnTKBMVEIAABCAAAQhAAAIQgMA2ArJl2DY+01E+yn5WD9dEtFL7Tx90nZl4uRGQXlEWBwC5zSB6IQABCEAAAhCAAAQg4JWAbBm8pkkteEZla6VqHVKDjx5fBKQVlMUBgC/SxIUABCAAAQhAAAIQgECWBGTLkKX8raIzKlsrVeuwFRLjciMgraAsDgBym0H0QgACEIAABCAAAQhAwCsB2TJ4TZNa8IzK1krVOqQGHz2+CEgrKIsDAF+kiQsBCEAAAhCAAAQgAIEsCciWIUv5W0VnVLZWqtZhKyTG5UZAWkFZHADkNoPohQAEIAABCEAAAhCAgFcCsmXwmia14BmVrZWqdUgNPnp8EZBWUBYHAL5IExcCEIAABCAAAQhAAAJZEpAtQ5byt4rOqGytVK3DVkiMy42AtIKyOADIbQbRCwEIQAACEIAABCAAAa8EZMvgNU1qwTMqWyuVfwYwte6Kpkd6RVkcAESbChJDAAIQgAAEIAABCEAgRQKyZUhRnTdNGZWdkVRv00XgdQSkV5TFAcA6bnhBAAIQgAAEIAABCECgEAKyZSikYFVmRmVnJLWoFkqxWOkVZXEAkOIsoQkCEIAABCAAAQhAAALRCMiWIZqEGIkzKjsjqTFmkpwDAtIryuIAYAAHEwIQgAAEIAABCEAAAhCQLUNRLDIqOyOpRbVQisVKryiLA4AUZwlNEIAABCAAAQhAAAIQiEZAtgzRJMRInFHZGUmNMZPkHBCQXlEWBwADOJgQgAAEIAABCEAAAhCAgGwZimKRUdkZSS2qhVIsVnpFWRwApDhLaIIABCAAAQhAAAIQgEA0ArJliCYhRuKMytZK5Z8BjNFBSeaUXlEWBwBJThOiIAABCEAAAhCAAAQgEIuAbBliKYiSN6OytVK1DlEIkzQCAWkFZXEAEGESSAkBCEAAAhCAAAQgAIF0CciWIV2NHpRlVLZWqtbBAz9CJklAWkFZHAAkOU2IggAEIAABCEAAAhCAQCwCsmWIpSBK3ozK1krVOkQhTNIIBKQVlMUBQIRJICUEIAABCEAAAhCAAATSJSBbhnQ1elCWUdlaqVoHD/wImSQBaQVlcQCQ5DQhCgIQgAAEIAABCEAAArEIyJYhloIoeTMqWytV6xCFMEkjEJBWUBYHABEmgZQQgAAEIAABCEAAAhBIl4BsGdLV6EFZRmVrpWodPPAjZJIEpBWUxQFAktOEKAhAAAIQgAAEIAABCMQiIFuGWAqi5M2obK1U/hnAKC2UYlLpFWVxAJDiLKEJAhCAAAQgAAEIQAAC0QjIliGahBiJMyo7I6kxZpKcAwLSK8riAGAABxMCEIAABCAAAQhAAAIQkC1DUSwyKjsjqUW1UIrFSq8oiwOAFGcJTRCAAAQgAAEIQAACEIhGQLYM0STESJxR2RlJjTGT5BwQkF5RFgcAAziYEIAABCAAAQhAAAIQgIBsGYpikVHZGUktqoVSLFZ6RVkcAKQ4S2iCAAQgAAEIQAACEIBANAKyZYgmIUbijMrOSGqMmSTngID0irI4ABjAwYQABCAAAQhAAAIQgAAEZMtQFIuMys5IalEtlGKx0ivK4gAgxVlCEwQgAAEIQAACEIAABKIRkC1DNAkxEmdUtlYq/wxgjA5KMqf0irI4AEhymhAFAQhAAAIQgAAEIACBWARkyxBLQZS8GZWtlap1iEKYpBEISCsoiwOACJNASghAAAIQgAAEIAABCKRLQLYM6Wr0oCyjsrVStQ4e+BEySQLSCsriACDJaUIUBCAAAQhAAAIQgAAEYhGQLUMsBVHyZlS2VqrWIQphkkYgIK2gLA4AIkwCKSEAAQhAAAIQgAAEIJAuAdkypKvRg7KMytZK1Tp44EfIJAlIKyiLA4AkpwlREIAABCAAAQhAAAIQiEVAtgyxFETJm1HZWqlahyiESRqBgLSCsjgAiDAJpIQABCAAAQhAAAIQgEC6BGTLkK5GD8oyKlsrVevggR8hkyQgraAsDgCSnCZEQQACEIAABCAAAQhAIBYB2TLEUhAlb0Zla6XyzwBGaaEUk0qvKIsDgBRnCU0QgAAEIAABCEAAAhCIRkC2DNEkxEicUdkZSY0xk+QcEJBeURYHAAM4mBCAAAQgAAEIQAACEICAbBmKYpFR2RlJLaqFUixWekVZHACkOEtoggAEIAABCEAAAhCAQDQCsmWIJiFG4ozKzkhqjJkk54CA9IqyOAAYwMGEAAQgAAEIQAACEIAABGTLUBSLjMrOSGpRLZRisdIryuIAIMVZQhMEIAABCEAAAhCAAASiEZAtQzQJMRJnVHZGUmPMJDkHBKRXlMUBwAAOJgQgAAEIQAACEIAABCAgW4aiWGRUdkZSi2qhFIuVXlEWBwApzhKaIAABCEAAAhCAAAQgEI2AbBmiSYiROKOytVL5ZwBjdFCSOaVXlMUBQJLThCgIQAACEIAABCAAAQjEIiBbhlgKouTNqGytVK1DFMIkjUBAWkFZHABEmARSQgACEIAABCAAAQhAIF0CsmVIV6MHZRmVrZWqdfDAj5BJEpBWUBYHAElOE6IgAAEIQAACEIAABCAQi4BsGWIpiJI3o7K1UrUOUQiTNAIBaQVlcQAQYRJICQEIQAACEIAABCAAgXQJyJYhXY0elGVUtlaq1sEDP0ImSUBaQVkcACQ5TYiCAAQgAAEIQAACEIBALAKyZYilIErejMrWStU6RCFM0ggEpBWUxQFAhEkgJQQgAAEIQAACEIAABNIlIFuGdDV6UJZR2VqpWgcP/AiZJAFpBWVxAJDkNCEKAhCAAAQgAAEIQAACsQjIliGWgih5MypbK5V/BjBKC6WYVHpFWRwApDhLaIIABCAAAQhAAAIQgEA0ArJliCYhRuKMys5IaoyZJOeAgPSKsjgAGMDBhAAEIAABCEAAAhCAAARky1AUi4zKzkhqUS2UYrHSK8riACDFWUITBCAAAQhAAAIQgAAEohGQLUM0CTESZ1R2RlJjzCQ5BwSkV5TFAcAADiYEIAABCEAAAhCAAAQgIFuGolhkVHZGUotqoRSLlV5RFgcAKc4SmiAAAQhAAAIQgAAEIBCNgGwZokmIkTijsjOSGmMmyTkgIL2iLA4ABnAwIQABCEAAAhCAAAQgAAHZMhTFIqOyM5JaVAulWKz0irI4AEhxltAEAQhAAAIQgAAEIACBaARkyxBNQozEGZWtlco/Axijg5LMKb2iLA4AkpwmREEAAhCAAAQgAAEIQCAWAdkyxFIQJW9GZWulah2iECZpBALSCsriACDCJJASAhCAAAQgAAEIQAAC6RKQLUO6Gj0oy6hsrVStgwd+hEySgLSCsjgASHKaEAUBCEAAAhCAAAQgAIFYBGTLEEtBlLwZlX0h9eexebTv/OfZERKntgvaXul7ggOAKN9dSAoBCEAAAhCAAAQgAIFUCVxsL1MV6lZXRmVrpWod3KIjWroEpBWUxQFAunOFMghAAAIQgAAEIAABCEQgIFuGCMnjpcyobK1UrUM8zGQOS0BaQVkcAITlTzYIQAACEIAABCAAAQgkTkC2DIkLdSsvo7K1UrUObtERLV0C0grK4gAg3blCGQQgAAEIQAACEIAABCIQkC1DhOTxUmZUtlYq/wxgvD5KLLP0irI4AEhsgpADAQhAAAIQgAAEIACBuARkyxBXR+DsGZWdkdTAk0i6MQHpFWVxADAmxHMIQAACEIAABCAAAQgUTUC2DEVhyKjsjKQW1UIpFiu9oiwOAFKcJTRBAAIQgAAEIAABCEAgGgHZMkSTECNxRmVnJDXGTJJzQEB6RVkcAAzgYEIAAhCAAAQgAAEIQAACsmUoikVGZWcktagWSrFY6RVlcQCQ4iyhCQIQgAAEIAABCEAAAtEIyJYhmoQYiTMqOyOpMWaSnAMC0ivK4gBgAAcTAhCAAAQgAAEIQAACEJAtQ1EsMio7I6lFtVCKxUqvKIsDgBRnCU0QgAAEIAABCEAAAhCIRkC2DNEkxEicUdlaqfwzgDE6KMmc0ivK4gAgyWlCFAQgAAEIQAACEIAABGIRkC1DLAVR8mZUtlaq1iEKYZJGICCtoCwOACJMAikhAAEIQAACEIAABCCQLgHZMqSr0YOyjMrWStU6eOBHyCQJSCsoiwOAJKcJURCAAAQgAAEIQAACEIhFQLYMsRREyZtR2VqpWocohEkagYC0grI4AIgwCaSEAAQgAAEIQAACEIBAugRky5CuRg/KMipbK1Xr4IEfIZMkIK2gLA4AkpwmREEAAhCAAAQgAAEIQCAWAdkyxFIQJW9GZWulah2iECZpBALSCsriACDCJJASAhCAAAQgAAEIQAAC6RKQLUO6Gj0oy6hsrVStgwd+hEySgLSCsjgASHKaEAUBCEAAAhCAAAQgAIFYBGTLEEtBlLwZla2Vyj8DGKWFUkwqvaIsDgBSnCU0QQACEIAABCAAAQhAIBoB2TJEkxAjcUZlZyQ1xkySc0BAekVZHAAM4GBCAAIQgAAEIAABCEAAArJlKIpFRmVnJLWoFkqxWOkVZXEAkOIsoQkCEIAABCAAAQhAAALRCMiWIZqEGIkzKjsjqTFmkpwDAtIryuIAYAAHEwIQgAAEIAABCEAAAhCQLUNRLDIqOyOpRbVQisVKryiLA4AUZwlNEIAABCAAAQhAAAIQiEZAtgzRJMRInFHZGUmNMZPkHBCQXlEWBwADOJgQgAAEIAABCEAAAhCAgGwZimKRUdkZSS2qhVIsVnpFWRwApDhLaIIABCAAAQhAAAIQgEA0ArJliCYhRuKMytZK5Z8BjNFBSeaUXlEWBwBJThOiIAABCEAAAhCAAAQgEIuAbBliKYiSN6OytVK1DlEIkzQCAWkFZXEAEGESSAkBCEAAAhCAAAQgAIF0CciWIV2NHpRlVLZWqtbBAz9CJklAWkFZHAAkOU2IggAEIAABCEAAAhCAQCwCsmWIpSBK3ozK1krVOkQhTNIIBKQVlMUBQIRJICUEIAABCEAAAhCAAATSJSBbhnQ1elCWUdlaqVoHD/wImSQBaQVlcQCQ5DQhCgIQgAAEIAABCEAAArEIyJYhloIoeTMqWytV6xCFMEkjEJBWUBYHABEmgZQQgAAEIAABCEAAAhBIl4BsGdLV6EFZRmVrpWodPPAjZJIEpBWUxQFAktOEKAhAAAIQgAAEIAABCMQiIFuGWAqi5M2obK1U/hnAKC2UYlLpFWVxAJDiLKEJAhCAAAQgAAEIQAAC0QjIliGahBiJMyo7I6kxZpKcAwLSK8riAGAABxMCEIAABCAAAQhAAAIQkC1DUSwyKjsjqUW1UIrFSq8oiwOAFGcJTRCAAAQgAAEIQAACEIhGQLYM0STESJxR2RlJjTGT5BwQkF5RFgcAAziYEIAABCAAAQhAAAIQgIBsGYpikVHZGUktqoVSLFZ6RVkcAKQ4S2iCAAQgAAEIQAACEIBANAKyZYgmIUbijMrOSGqMmSTngID0irI4ABjAwYQABCAAAQhAAAIQgAAEZMtQFIuMys5IalEtlGKx0ivK4gAgxVlCEwQgAAEIQAACEIAABKIRkC1DNAkxEmdUtlYq/wxgjA5KMqf0irI4AEhymhAFAQhAAAIQgAAEIACBWARkyxBLQZS8GZWtlap1iEKYpBEISCsoiwOACJNASghAAAIQgAAEIAABCKRLQLYM6Wr0oCyjsrVStQ4e+BEySQLSCsriACDJaUIUBCAAAQhAAAIQgAAEYhGQLUMsBVHyZlS2VqrWIQphkkYgIK2gLA4AIkwCKSEAAQhAAAIQgAAEIJAuAdkypKvRg7KMytZK1Tp44EfIJAlIKyiLA4AkpwlREIAABCAAAQhAAAIQiEVAtgyxFETJm1HZWqlahyiESRqBgLSCsjgAiDAJpIQABCAAAQhAAAIQgEC6BGTLkK5GD8oyKlsrVevggR8hkyQgraAsDgCSnCZEQQACEIAABCAAAQhAIBYB2TLEUhAlb0Zla6XyzwBGaaEUk0qvKIsDgBRnCU0QgAAEIAABCEAAAhCIRkC2DNEkxEicUdkZSY0xk+QcEJBeURYHAAM4mBCAAAQgAAEIQAACEICAbBmKYpFR2RlJLaqFUixWekVZHACkOEtoggAEIAABCEAAAhCAQDQCsmWIJiFG4ozKzkhqjJkk54CA9IqyOAAYwMGEAAQgAAEIQAACEIAABGTLUBSLjMrOSGpRLZRisdIryuIAIMVZQhMEIAABCEAAAhCAAASiEZAtQzQJMRJnVHZGUmPMJDkHBKRXlMUBwAAOJgQgAAEIQAACEIAABCAgW4aiWGRUdkZSi2qhFIuVXlEWBwApzhKaIAABCEAAAhCAAAQgEI2AbBmiSYiROKOytVL5ZwBjdFCSOaVXlMUBQJLThCgIQAACEIAABCAAAQjEIiBbhlgKouTNqGytVK1DFMIkjUBAWkFZHABEmARSQgACEIAABCAAAQhAIF0CsmVIV6MHZRmVrZWqdfDAj5BJEpBWUBYHAElOE6IgAAEIQAACEIAABCAQi4BsGWIpiJI3o7K1UrUOUQiTNAIBaQVlcQAQYRJICQEIQAACEIAABCAAgXQJyJYhXY0elGVUtlaq1sEDP0ImSUBaQVkcACQ5TYiCAAQgAAEIQAACEIBALAKyZYilIErejMrWStU6RCFM0ggEpBWUxQFAhEkgJQQgAAEIQAACEIAABNIlIFuGdDV6UJZR2VqpWgcP/AiZJAFpBWVxAJDkNCEKAhCAAAQgAAEIQAACsQjIliGWgih5MypbK5V/BjBKC6WYVHpFWRwApDhLaIIABCAAAQhAAAIQgEA0ArJliCYhRuKMys5IaoyZJOeAgPSKsjgAGMDBhAAEIAABCEAAAhCAAARky1AUi4zKzkhqUS2UYrHSK8riACDFWUITBCAAAQhAAAIQgAAEohGQLUM0CTESZ1R2RlJjzCQ5BwSkV5TFAcAADiYEIAABCEAAAhCAAAQgIFuGolhkVHZGUotqoRSLlV5RFgcAKc4SmiAAAQhAAAIQgAAEIBCNgGwZokmIkTijsjOSGmMmyTkgIL2iLA4ABnAwIQABCEAAAhCAAAQgAAHZMhTFIqOyM5JaVAulWKz0irI4AEhxltAEAQhAAAIQgAAEIACBaARkyxBNQozEGZWtlco/Axijg5LMKb2iLA4AkpwmREEAAhCAAAQgAAEIQCAWAdkyxFIQJW9GZWulah2iECZpBALSCsriACDCJJASAhCAAAQgAAEIQAAC6RKQLUO6Gj0oy6hsrVStgwd+hEySgLSCsjgASHKaEAUBCEAAAhCAAAQgAIFYBGTLEEtBlLwZla2VqnWIQpikEQhIKyiLA4AIk0BKCEAAAhCAAAQgAAEIpEtAtgzpavSgLKOytVK1Dh74ETJJAtIKyuIAIMlpQhQEIAABCEAAAhCAAARiEZAtQywFUfJmVLZWqtYhCmGSRiAgraAsDgAiTAIpIQABCEAAAhCAAAQgkC4B2TKkq9GDsozK1krVOnjgR8gkCUgrKIsDgCSnCVEQgAAEIAABCEAAAhCIRUC2DLEURMmbUdlaqfwzgFFaKMWk0ivK4gAgxVlCEwQgAAEIQAACEIAABKIRkC1DNAkxEmdUdkZSY8wkOQcEpFeUxQHAAA4mBCAAAQhAAAIQgAAEICBbhqJYZFR2RlKLaqEUi5VeURYHACnOEpogAAEIQAACEIAABCAQjYBsGaJJiJE4o7IzkhpjJsk5ICC9oiwOAAZwMCEAAQhAAAIQgAAEIAAB2TIUxSKjsjOSWlQLpVis9IqyOABIcZbQBAEIQAACEIAABCAAgWgEZMsQTUKMxBmVnZHUGDNJzgEB6RVlcQAwgIMJAQhAAAIQgAAEIAABCMiWoSgWkcv+eBk+PhbRR5a6qI2baRGQXlEWBwBpzQ9qIAABCEAAAhCAAAQgEJmAbBkiCwmbPnLZL8fh42Wxdq1U/hnARX4l3ZReURYHACXNPrVCAAIQgAAEIAABCEBAS0C2DFrXPTlELvvl+PS3ezwdLQ8AIteyp7bIvRZpBWVxAJD7jKIfAhCAAAQgAAEIQAACTgnIlsFp2NSDRS775fj3o3v85QAg9W7JRp+0NQcA2UwaQiEAAQhAAAIQgAAEIBCOgGwZwuVMIFPksjkASKAHdihB2poDgB1OLyVBAAIQgAAEIAABCEDAloBsGWwjZTX+8U9UuQYHAH8edUoLnUIdlhLvSytwAFDi/FMzBCAAAQhAAAIQgAAENARky6Bx3Nft19uoJwDrDwD+3L7qyBc6hTosJd6XVuAAoMT5p2YIQAACEIAABCAAAQhoCMiWQeO4s9uvj8PP4Q9vDz8DYCn7Y7P//6lc2s/7Hz/b2dRQzmYCspo5ANgMkYEQgAAEIAABCEAAAhDYLwHZMuy3xvQqW/8OgPS0oyhdArKaOQBId5ZQBgEIQAACEIAABCAAgWgEZMsQTUKBiTkAKHDSA5Qsq5kDgAC4SQEBCEAAAhCAAAQgAIHcCMiWITflOevlACDn2UtXu6xmDgDSnSWUQQACEIAABCAAAQhAIBoB2TJEk1BgYg4ACpz0ACXLauYAIABuUkAAAhCAAAQgAAEIQCA3ArJlyE15znpfjk9/u8fT8SXnUtCeEAFZzRwAJDQtSIEABCAAAQhAAAIQgEAqBGTLkIqiEnS8nH3wPwcAJcx5iBplNXMAEII3OSAAAQhAAAIQgAAEIJAZAdkyZCY8a7kfL8PHR9a1ID4dArKaOQBIZ1ZQAgEIQAACEIAABCAAgWQIyJYhGUklCfnxZ6rap1+n08/fU3e4BoEFArKaOQBYwMQtCEAAAhCAAAQgAAEIlEpAtgylEvBf99efszkevk3d+vzldPo8eWfKm2sQaAnIauYAgKaAAAQgAAEIQAACEIAABC4IyJbh4hYXHBH49HU20PwBwOwQbkBgjoCsZg4A5hhxHQIQgAAEIAABCEAAAgUTkC1DwRDclf5f9bv798fq3ft/vp9ePt/df3s/nZ6ON4+Pb6fT86e7x/9Opx+/n+4rL/V4+PZ0d/+rtn893H7+V339eXf/u34HwM/6ajvk9FqF+lKF4AGBJQKympV1WHLmHgQgAAEIQAACEIAABCBQGgHZMpRWuZd63w7/Tn8O96fTp2+nnz//Pt9X5n93n/78+Tj9uvr59/vV6+nh+OnPc5f84fj4/PNQHRg8Xf18/nT9fvp59fT8cKwOAOq3DXRDTtdf/z5/r48HeEBggYCsZg4AFjBxCwIQgAAEIAABCEAAAqUSkC1DqQTc1n3zdPr65fBxulJ7/PfDq9rLn07XT1WmL59PD7eDjA831ZNv1ZXr+nMCjt8br4+r9gCgG/LvwG//B9Aw5wjIauYAYI4R1yEAAQhAAAIQgAAEIFAwAdkyFAzBYelfH083f++eX6ozgPfvD7e3h+ogoPkMgNfD1+/fqyunh+EnAjxUW/3T38PHv/qg4PTl07/qHQSnU321GtQPOd3efPvrUCShdkpAVjMHADudYsqCAAQgAAEIQAACEICADQHZMthEYWxH4M/129XHt68/qrf+3336+/p6qP6dv+YA4L/Dtx/V4+l09rl/zWnAy+H9tdn4f314bX7X/6gOAPohp49fj1c3/AlAB5mvMwRkNXMAMIOIyxCAAAQgAAEIQAACECiZgGwZSqbgrvb3w9eH09/bh++n+uMATv/6A4D32qof5wcAD9WVX1enj/qdAqf7L+rrjToA6IfUwz5u+XcBaw48FgjIauYAYAETtyAAAQhAAAIQgAAEIFAqAdkylErAcd13hx/Vdv7wUv3v6fTxUG/7v96/f5xOn2+qd/m//h0dAFT3326qrf3n27fT78N/p8e799PTQR0A9EPeqvf/v9/UnxLAAwILBGQ1cwCwgIlbEIAABCAAAQhAAAIQKJWAbBlKJeC47m/VLv50f1VFfTocr35eVQcA/+6vqj/x//hyuL66/jU6APhyd314qI4H3u+ru9UW/+3ucP3Q/glAP+T1+nA8PFZePCCwREBWMwcAS5y4BwEIQAACEIAABCAAgUIJyJahUAAey/54Pd+zf7y+TWT71/5t/1vr3T1vXLshb6/vE0O5BIEzArKaOQA4A8MTCEAAAhCAAAQgAAEIQKAmIFsGeEAAAnkTkNXMAUDeM4l6CEAAAhCAAAQgAAEIeCEgWwYv4Qk6SeDtUT2m3hEwOYCLEFhBQFYzBwArcOECAQhAAAIQgAAEIACB0gjIlqG0ymPW+/GsHud/IhBTEbn3QEBWMwcAe5hPaoAABCAAAQhAAAIQgIBjArJlcByYcBCAQGACspo5AAiMnnQQgAAEIAABCEAAAhDIgYBsGXJQi0YIQGCegKxmDgDmKXEHAhCAAAQgAAEIQAACxRKQLUOxCCgcAjshIKuZA4CdTCllQAACEIAABCAAAQhAwCUB2TK4jEosCEAgPAFZzRwAhKdPRghAAAIQgAAEIAABCCRPQLYMyUtFIAQgsEhAVjMHAIuguAkBCEAAAhCAAAQgAIEyCciWocz6qRoC+yEgq5kDgP3MKpVAAAIQgAAEIAABCEDAGQHZMjgLSSAIQCAKAVnNHABEmQCSQgACEIAABCAAAQhAIG0CsmVIWyfqIAABHQFZzRwA6FhxHwIQgAAEIAABCEAAAgUSkC1DgcVTMgR2RUBWMwcAu5pYioEABCAAAQhAAAIQgIAbArJlcBOPKBCAQCwCspo5AIg1B+SFAAQgAAEIQAACEIBAwgRky5CwSKRBAAIrCMhq5gBgBS5cIAABCEAAAhCAAAQgUBoB2TKUVjn1QmBvBGQ1cwCwt7mlHghAAAIQgAAEIAABCDggIFsGB8EIAQEIRCQgq5kDgIjTQGoIQAACEIAABCAAAQikSkC2DKkqRBcEILCOgKxmDgDWEcMLAhCAAAQgAAEIQAACRRGQLUNRZVMsBHZIQFYzBwA7nF5KggAEIAABCEAAAhCAgC0B2TLYRmI8BCAQl4CsZg4A4s4E2SEAAQhAAAIQgAAEIJAkAdkyJCkPURCAwGoCspo5AFgNDUcIQAACEIAABCAAAQiUQ0C2DOXUTKUQ2CeBfjW/3DQFHvZZJlVBAAIQgAAEIAABCEAAAtsI9FuGbcMZBQEIJEOgW80vty+NJg4AkpkahEAAAhCAAAQgAAEIQCAFAt2WIQUtaIAABGwItKu52/+fOACwoclYCEAAAhCAAAQgAAEI7I4ABwC7m1IKKpaAWs39/p8DgGI7gcIhAAEIQAACEIAABCAwSYADgEksXIRAhgSa1Sz7fw4AMpxDJEMAAhCAAAQgAAEIQMAjAQ4APMIlNASCEqhX82D/zwFAUPokgwAEIAABCEAAAhCAQPIEOABIfooQCIGVBKrVPNz/cwCwkhtuEIAABCAAAQhAAAIQKIQABwCFTDRlFkDgeL7/5wCggDmnRAhAAAIQgAAEIAABCBgQ4ADAABauEEiawPHs9/8nDgCSni3EQQACEIAABCAAAQhAIDgBDgCCIychBDwRON6+nEXmnwE8w8ETCEAAAhCAAAQgAAEIlE7gyAMCENgLgfP9P+8AKP3bO/VDAAIQgAAEIAABCEAAAhCAQBkEeAdAGfNMlRCAAAQgAAEIQAACEIAABCBQOAEOAApvAMqHAAQgAAEIQAACEIAABCAAgTIIcABQxjxTJQQgAAEIQAACEIAABCAAAQgUToADgMIbgPIhAAEIQAACEIAABCAAAQhAoAwCHACUMc9UCQEIQAACEIAABCAAAQhAAAKFE+AAoPAGoHwIQAACEIAABCAAgf/bsWMCAAAABGH9WxOERXB6SYAAAQIPAQfAo2cpCRAgQIAAAQIECBAgQGAu4ACYD0B8AgQIECBAgAABAgQIEHgIOAAePUtJgAABAgQIECBAgAABAnMBB8B8AOITIECAAAECBAgQIECAwEPAAfDoWUoCBAgQIECAAAECBAgQmAs4AOYDEJ8AAQIECBAgQIAAAQIEHgIOgEfPUhIgQIAAAQIECBAgQIDAXMABMB+A+AQIECBAgAABAgQIECDwEAheOzG/qGgK9AAAAABJRU5ErkJggg==", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_components_diagram()" ] @@ -581,37 +212,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "1505f319", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `aoi` | `https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox` | area of interest - pattern-12/aoi | area of interest as a bounding box - This parameter is derived from pattern-12/aoi |\n", - "| `bands` | `string[]` | bands used for the NDWI - pattern-12/bands | bands used for the NDWI - This parameter is derived from pattern-12/bands |\n", - "| `another_input` | `string` | Another Input - my-asthonishing-stage-in-directory/another_input | An additional input for demonstration purposes - This parameter is derived from my-asthonishing-stage-in-directory/another_input |\n", - "| `item` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Landsat-8/9 acquisition reference - pattern-12/item | Landsat-8/9 acquisition reference - This parameter is derived from pattern-12/item |\n", - "| `cropped-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | cropped reflectances STAC Collection - pattern-12/cropped-collection | STAC Collection URL for the cropped reflectances - This parameter is derived from pattern-12/cropped-collection |\n", - "| `ndwi-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDWI STAC Collection - pattern-12/ndwi-collection | STAC Collection URL for the NDWI - This parameter is derived from pattern-12/ndwi-collection |\n", - "| `water-bodies-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Water bodies STAC Collection - pattern-12/water-bodies-collection | STAC Collection URL for the water bodies - This parameter is derived from pattern-12/water-bodies-collection |\n", - "| `s3_bucket` | `string` | my-super-stage-out/s3_bucket | This parameter is derived from: my-super-stage-out/s3_bucket |\n", - "| `sub_path` | `string` | my-super-stage-out/sub_path | This parameter is derived from: my-super-stage-out/sub_path |\n", - "| `aws_access_key_id` | `string` | my-super-stage-out/aws_access_key_id | This parameter is derived from: my-super-stage-out/aws_access_key_id |\n", - "| `aws_secret_access_key` | `string` | my-super-stage-out/aws_secret_access_key | This parameter is derived from: my-super-stage-out/aws_secret_access_key |\n", - "| `region_name` | `string` | my-super-stage-out/region_name | This parameter is derived from: my-super-stage-out/region_name |\n", - "| `endpoint_url` | `string` | my-super-stage-out/endpoint_url | This parameter is derived from: my-super-stage-out/endpoint_url |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_inputs()" ] @@ -626,29 +230,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "5d2a4e59", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Runs | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", - "| `app` | `#pattern-12` | None | None |\n", - "| `stage_out_0` | `#my-super-stage-out` | None | None |\n", - "| `stage_out_1` | `#my-super-stage-out` | None | None |\n", - "| `stage_out_2` | `#my-super-stage-out` | None | None |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_steps()" ] @@ -663,27 +248,10 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "abcdff15", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `cropped` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]` | Cropped reflectances | Cropped reflectances |\n", - "| `ndwi` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Normalized Difference Water Index | Normalized Difference Water Index calculated from the input bands |\n", - "| `water_bodies` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Water bodies detected | Water bodies detected based on the NDWI and otsu threshold |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_outputs()" ] @@ -698,7 +266,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "dc4d0b49", "metadata": {}, "outputs": [], @@ -711,60 +279,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "7fa174e4", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Inputs\n", - "\n", - "```json\n", - "{\n", - " \"aoi\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox\",\n", - " \"bbox\": [\n", - " -118.985,\n", - " 38.432,\n", - " -118.183,\n", - " 38.938\n", - " ],\n", - " \"crs\": \"CRS84\"\n", - " },\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", - " },\n", - " \"bands\": [\n", - " \"green\",\n", - " \"nir08\"\n", - " ],\n", - " \"cropped-collection\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/cropped_collection.json\"\n", - " },\n", - " \"ndwi-collection\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/ndi_collection.json\"\n", - " },\n", - " \"water-bodies-collection\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/water_bodies_collection.json\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "params = {\n", " \"aoi\": {\n", @@ -818,48 +336,10 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "1cfd01e0", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"cropped\": [\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-qk2x3f/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-9ewzav/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - " ],\n", - " \"ndwi\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-lgdey7/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " \"water_bodies\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-9lato7/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "parsed_args = argparse.Namespace(\n", " podman=False,\n", @@ -879,16 +359,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] @@ -896,7 +386,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -910,7 +400,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-2.ipynb b/docs/pattern-2.ipynb index c3d6000..1725b22 100644 --- a/docs/pattern-2.ipynb +++ b/docs/pattern-2.ipynb @@ -898,7 +898,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "76b2860d", "metadata": {}, "outputs": [ @@ -945,16 +945,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-3.ipynb b/docs/pattern-3.ipynb index 5ef5144..1ca5b2d 100644 --- a/docs/pattern-3.ipynb +++ b/docs/pattern-3.ipynb @@ -860,7 +860,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "4017d479", "metadata": {}, "outputs": [ @@ -913,16 +913,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-4.ipynb b/docs/pattern-4.ipynb index a729fb6..1777a76 100644 --- a/docs/pattern-4.ipynb +++ b/docs/pattern-4.ipynb @@ -873,7 +873,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "b2fdc13a", "metadata": {}, "outputs": [ @@ -924,27 +924,29 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b76cc744", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/pattern-5.ipynb b/docs/pattern-5.ipynb index e3eac68..3a10438 100644 --- a/docs/pattern-5.ipynb +++ b/docs/pattern-5.ipynb @@ -822,7 +822,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "11d19a38", "metadata": {}, "outputs": [ @@ -875,16 +875,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-6.ipynb b/docs/pattern-6.ipynb index 3a8cc58..e414d3e 100644 --- a/docs/pattern-6.ipynb +++ b/docs/pattern-6.ipynb @@ -704,7 +704,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "e9498556", "metadata": {}, "outputs": [ @@ -748,16 +748,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-7.ipynb b/docs/pattern-7.ipynb index c2c35c0..22d3024 100644 --- a/docs/pattern-7.ipynb +++ b/docs/pattern-7.ipynb @@ -881,7 +881,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "5441a37d", "metadata": {}, "outputs": [ @@ -928,16 +928,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] diff --git a/docs/pattern-8.ipynb b/docs/pattern-8.ipynb index e0e7aca..f52d5cf 100644 --- a/docs/pattern-8.ipynb +++ b/docs/pattern-8.ipynb @@ -844,7 +844,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "27d4338a", "metadata": {}, "outputs": [ @@ -891,27 +891,29 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5704fd74", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/pattern-9.ipynb b/docs/pattern-9.ipynb index 4d3d0ec..f0bcdd2 100644 --- a/docs/pattern-9.ipynb +++ b/docs/pattern-9.ipynb @@ -827,7 +827,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "a428fe15", "metadata": {}, "outputs": [ @@ -877,16 +877,26 @@ " stderr=stream_err,\n", ")\n", "\n", - "assert res == 0\n", - "\n", - "md = f\"\"\"\n", + "if res == 0:\n", + " md = f\"\"\"\n", "\n", "### Outputs\n", "\n", "```json\n", "{stream_out.getvalue()}\n", "```\n", - "\"\"\"\n", + " \"\"\"\n", + "else:\n", + " md = f\"\"\"\n", + "\n", + "### Errors\n", + "\n", + "CWL execution terminated with errors:\n", + "\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", + " \"\"\"\n", "\n", "display(Markdown(md))" ] From 52b56a1a494c5f038af27cf8e001fa27e8d99626 Mon Sep 17 00:00:00 2001 From: stripodi Date: Mon, 1 Dec 2025 17:30:18 +0100 Subject: [PATCH 07/15] fix: trailing # on $base so names are minted --- cwl-workflow/pattern-1.cwl | 2 +- cwl-workflow/pattern-10.cwl | 2 +- cwl-workflow/pattern-11.cwl | 2 +- cwl-workflow/pattern-12.cwl | 2 +- cwl-workflow/pattern-2.cwl | 2 +- cwl-workflow/pattern-3.cwl | 2 +- cwl-workflow/pattern-4.cwl | 2 +- cwl-workflow/pattern-5.cwl | 2 +- cwl-workflow/pattern-6.cwl | 2 +- cwl-workflow/pattern-7.cwl | 2 +- cwl-workflow/pattern-8.cwl | 2 +- cwl-workflow/pattern-9.cwl | 2 +- cwl-workflow/test-custom-types.cwl | 2 +- cwl-workflow/test-primitives.cwl | 2 +- 14 files changed, 14 insertions(+), 14 deletions(-) diff --git a/cwl-workflow/pattern-1.cwl b/cwl-workflow/pattern-1.cwl index 49f5411..17922f2 100644 --- a/cwl-workflow/pattern-1.cwl +++ b/cwl-workflow/pattern-1.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water bodies detection based on NDWI and the otsu threshold s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. diff --git a/cwl-workflow/pattern-10.cwl b/cwl-workflow/pattern-10.cwl index 3220ca2..3b263bf 100644 --- a/cwl-workflow/pattern-10.cwl +++ b/cwl-workflow/pattern-10.cwl @@ -11,7 +11,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: NDVI and NDWI vegetation indexes s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. diff --git a/cwl-workflow/pattern-11.cwl b/cwl-workflow/pattern-11.cwl index da303d4..913f9f3 100644 --- a/cwl-workflow/pattern-11.cwl +++ b/cwl-workflow/pattern-11.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water bodies detection based on NDWI and the otsu threshold (with DEM) s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. diff --git a/cwl-workflow/pattern-12.cwl b/cwl-workflow/pattern-12.cwl index 1032f44..f821cb7 100644 --- a/cwl-workflow/pattern-12.cwl +++ b/cwl-workflow/pattern-12.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water body detection based on NDWI and the otsu threshold s:description: Water bodies detection based on NDWI and otsu threshold applied to Sentinel-2 or Landsat-9 staged acquisitions. diff --git a/cwl-workflow/pattern-2.cwl b/cwl-workflow/pattern-2.cwl index 60c48e4..354823b 100644 --- a/cwl-workflow/pattern-2.cwl +++ b/cwl-workflow/pattern-2.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water bodies detection based on NDWI and the otsu threshold s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. diff --git a/cwl-workflow/pattern-3.cwl b/cwl-workflow/pattern-3.cwl index 09384c9..d9a1f18 100644 --- a/cwl-workflow/pattern-3.cwl +++ b/cwl-workflow/pattern-3.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water bodies detection based on NDWI and the otsu threshold s:description: Water bodies detection based on NDWI and otsu threshold applied to a single Landsat-8/9 acquisition. diff --git a/cwl-workflow/pattern-4.cwl b/cwl-workflow/pattern-4.cwl index 71f9c2e..6b95cc1 100644 --- a/cwl-workflow/pattern-4.cwl +++ b/cwl-workflow/pattern-4.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: NDVI and NDWI vegetation indexes s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. diff --git a/cwl-workflow/pattern-5.cwl b/cwl-workflow/pattern-5.cwl index 339e19a..591ef64 100644 --- a/cwl-workflow/pattern-5.cwl +++ b/cwl-workflow/pattern-5.cwl @@ -13,7 +13,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: NDVI and NDWI vegetation indexes s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. diff --git a/cwl-workflow/pattern-6.cwl b/cwl-workflow/pattern-6.cwl index 5990d53..e289dbf 100644 --- a/cwl-workflow/pattern-6.cwl +++ b/cwl-workflow/pattern-6.cwl @@ -13,7 +13,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: NDVI mean s:description: NDVI mean from Landsat-8/9 acquisitions. diff --git a/cwl-workflow/pattern-7.cwl b/cwl-workflow/pattern-7.cwl index aff1621..39c73bd 100644 --- a/cwl-workflow/pattern-7.cwl +++ b/cwl-workflow/pattern-7.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water bodies detection based on NDWI and the otsu threshold s:description: Water bodies detection based on NDWI and otsu threshold applied to a mandatory Landsat-8/9 acquisition and an optional second acquisition. diff --git a/cwl-workflow/pattern-8.cwl b/cwl-workflow/pattern-8.cwl index 572e179..6d18b8a 100644 --- a/cwl-workflow/pattern-8.cwl +++ b/cwl-workflow/pattern-8.cwl @@ -13,7 +13,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Water bodies detection based on NDWI and the otsu threshold s:description: Water bodies detection based on NDWI and otsu threshold applied to an Landsat-8/9 acquisition reference. diff --git a/cwl-workflow/pattern-9.cwl b/cwl-workflow/pattern-9.cwl index 387e5eb..2182790 100644 --- a/cwl-workflow/pattern-9.cwl +++ b/cwl-workflow/pattern-9.cwl @@ -11,7 +11,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: NDVI and NDWI vegetation indexes s:description: NDVI and NDWI vegetation indexes from Landsat-8/9 acquisitions. diff --git a/cwl-workflow/test-custom-types.cwl b/cwl-workflow/test-custom-types.cwl index 8e3c073..9a47148 100644 --- a/cwl-workflow/test-custom-types.cwl +++ b/cwl-workflow/test-custom-types.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Echo custom CWL Types s:description: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. diff --git a/cwl-workflow/test-primitives.cwl b/cwl-workflow/test-primitives.cwl index 174a003..3afdbe3 100644 --- a/cwl-workflow/test-primitives.cwl +++ b/cwl-workflow/test-primitives.cwl @@ -3,7 +3,7 @@ schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: s: https://schema.org/ - eoap: "http://oeap.github.io/schema" + eoap: "http://oeap.github.io/schema#" s:name: Echo All CWL Primitive Types s:description: This workflow demonstrates usage of all CWL primitive types. It runs the `echo-tool` with default values and captures the output in a file. From 72cb438954f28509372bfe71cfb985a1e44f55e1 Mon Sep 17 00:00:00 2001 From: stripodi Date: Tue, 2 Dec 2025 13:40:54 +0100 Subject: [PATCH 08/15] fix: wrong indentation --- docs/pattern-1.ipynb | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/pattern-1.ipynb b/docs/pattern-1.ipynb index f3be9d4..08f2397 100644 --- a/docs/pattern-1.ipynb +++ b/docs/pattern-1.ipynb @@ -882,22 +882,22 @@ "if res == 0:\n", " md = f\"\"\"\n", "\n", - " ### Outputs\n", + "### Outputs\n", "\n", - " ```json\n", - " {stream_out.getvalue()}\n", - " ```\n", + "```json\n", + "{stream_out.getvalue()}\n", + "```\n", " \"\"\"\n", "else:\n", " md = f\"\"\"\n", "\n", - " ### Errors\n", + "### Errors\n", "\n", - " CWL execution terminated with errors:\n", + "CWL execution terminated with errors:\n", "\n", - " ```\n", - " {stream_err.getvalue()}\n", - " ```\n", + "```\n", + "{stream_err.getvalue()}\n", + "```\n", " \"\"\"\n", "\n", "display(Markdown(md))" From d19799a314a519214b53994acffd26fd08266441 Mon Sep 17 00:00:00 2001 From: stripodi Date: Wed, 3 Dec 2025 10:42:05 +0100 Subject: [PATCH 09/15] feat: diagrams update --- docs/helpers.py | 32 +- docs/pattern-1.ipynb | 499 ++++++++----------------------- docs/pattern-10.ipynb | 561 +++++++++-------------------------- docs/pattern-11.ipynb | 577 +++++++++--------------------------- docs/pattern-12.ipynb | 408 ++++++++++++++++++++++---- docs/pattern-2.ipynb | 558 ++++++++--------------------------- docs/pattern-3.ipynb | 555 +++++++++-------------------------- docs/pattern-4.ipynb | 668 ++---------------------------------------- docs/pattern-5.ipynb | 527 ++++++++------------------------- docs/pattern-6.ipynb | 400 ++++++++----------------- docs/pattern-7.ipynb | 583 +++++++++--------------------------- docs/pattern-8.ipynb | 542 ++++++++-------------------------- docs/pattern-9.ipynb | 532 ++++++++------------------------- 13 files changed, 1694 insertions(+), 4748 deletions(-) diff --git a/docs/helpers.py b/docs/helpers.py index 309d231..4600b6e 100644 --- a/docs/helpers.py +++ b/docs/helpers.py @@ -61,38 +61,34 @@ def display_steps(self): display(Markdown(md)) - def display_components_diagram(self): + def _invoke_puml( + self, + diagram_type: DiagramType + ): out = StringIO() to_puml( cwl_document=self.workflow, - diagram_type=DiagramType.COMPONENT, + diagram_type=diagram_type, output_stream=out, + workflow_id=self.entrypoint ) clear_output = out.getvalue() encoded = deflate_and_encode(clear_output) - diagram_url = f"https://www.plantuml.com/plantuml/png/{encoded}" + diagram_url = f"https://uml.planttext.com/plantuml/png/{encoded}" with urlopen(diagram_url) as url: img = Image.open(BytesIO(url.read())) display(img) - def plot(self): - args = ["--print-dot", f"{self.cwl_file}#{self.entrypoint}"] - - stream_err = StringIO() - stream_out = StringIO() - - _ = cwlmain( - args, - stdout=stream_out, - stderr=stream_err, - executor=NoopJobExecutor(), - loadingContext=LoadingContext(), - runtimeContext=RuntimeContext(), - ) + def display_components_diagram(self): + self._invoke_puml(DiagramType.COMPONENT) + + def display_sequence_diagram(self): + self._invoke_puml(DiagramType.SEQUENCE) - return graphviz.Source(stream_out.getvalue()) + def plot(self): + self._invoke_puml(DiagramType.STATE) class WorkflowWrapper: diff --git a/docs/pattern-1.ipynb b/docs/pattern-1.ipynb index 08f2397..8082bcf 100644 --- a/docs/pattern-1.ipynb +++ b/docs/pattern-1.ipynb @@ -42,22 +42,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-12-01 17:14:05.534\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-1.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:05.534\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-1.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:05.546\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - 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Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:58.070\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:58.070\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-1.cwl successfully load!\u001b[0m\n" ] } ], @@ -90,104 +90,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-1/aoi\n", - "\n", - "pattern-1/aoi\n", - "\n", - "\n", - "\n", - "pattern-1/step\n", - "\n", - "pattern-1/step\n", - "\n", - "\n", - "\n", - "pattern-1/aoi->pattern-1/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-1/bands\n", - "\n", - "pattern-1/bands\n", - "\n", - "\n", - "\n", - "pattern-1/bands->pattern-1/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-1/epsg\n", - "\n", - "pattern-1/epsg\n", - "\n", - "\n", - "\n", - "pattern-1/epsg->pattern-1/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-1/item\n", - "\n", - "pattern-1/item\n", - "\n", - "\n", - "\n", - "pattern-1/item->pattern-1/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-1/water_bodies\n", - "\n", - "pattern-1/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-1/step->pattern-1/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -314,71 +223,71 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-12-01 17:14:07.758\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:08.343\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:08.346\u001b[0m | \u001b[34m\u001b[1mDEBUG 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"\u001b[32m2025-12-01 17:14:10.808\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.808\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.809\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.809\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.809\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:10.810\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:11.299\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:11.302\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:11.303\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:11.303\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:11.303\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.956\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.958\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.958\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.958\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.959\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:14.960\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:15.520\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:15.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:15.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:15.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:15.527\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.749\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.749\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.749\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.750\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.751\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.752\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.753\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-1 inputs...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.753\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/aoi: string\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.753\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/epsg: string\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/bands: string[]\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/item: Directory\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.754\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-1 outputs...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-1/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.755\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.756\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.756\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-12-01 17:14:18.756\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0041 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:30:59.721\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:59.906\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:59.909\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:59.910\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:59.910\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:30:59.910\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.451\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.452\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.452\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.764\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.767\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.768\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.768\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:00.768\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.173\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.174\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.174\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.175\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.175\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.175\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.176\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.176\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.176\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.403\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.408\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.408\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.409\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.409\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.839\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.840\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.840\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.840\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-1 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-1 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-1/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.846\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.847\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:31:01.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0054 seconds\u001b[0m\n" ] } ], @@ -400,212 +309,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "Water bodies detection based on NDWI and the otsu threshold\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/water_bodies\n", - "\n", - "main/water_bodies\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/bands\n", - "\n", - "main/bands\n", - "\n", - "\n", - "\n", - "main/bands->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item\n", - "\n", - "main/item\n", - "\n", - "\n", - "\n", - "main/item->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -619,7 +329,7 @@ "id": "03c6930e", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -630,9 +340,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -640,7 +350,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -856,10 +566,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "81dce561", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] + } + ], "source": [ "parsed_args = argparse.Namespace(\n", " podman=False,\n", diff --git a/docs/pattern-10.ipynb b/docs/pattern-10.ipynb index ed7948b..caad3bd 100644 --- a/docs/pattern-10.ipynb +++ b/docs/pattern-10.ipynb @@ -41,18 +41,26 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:53:33.511\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-10.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.513\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-10.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.558\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.558\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.565\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.583\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.584\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-10...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.584\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow vegetation_indexes...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.585\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.585\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning ExpressionTool flatten_array...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.585\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:33.586\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-10.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:38:45.897\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-10.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:45.897\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-10.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:45.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:45.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:45.919\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:45.919\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.147\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.148\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.148\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-10.cwl#vegetation_indexes must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.148\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-10.cwl - uri: ../cwl-workflow/pattern-10.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-10.cwl#flatten_array must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-10.cwl - uri: ../cwl-workflow/pattern-10.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-10.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-10.cwl - uri: ../cwl-workflow/pattern-10.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.151\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:46.151\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-10.cwl successfully load!\u001b[0m\n" ] } ], @@ -78,116 +86,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-10/subworkflow\n", - "\n", - "NDVI and NDWI vegetation indexes\n", - "\n", - "\n", - "\n", - "pattern-10/flatten\n", - "\n", - "Flatten Directory[][] → Directory[]\n", - "\n", - "\n", - "\n", - "pattern-10/subworkflow->pattern-10/flatten\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-10/vegetation_indexes\n", - "\n", - "pattern-10/vegetation_indexes\n", - "\n", - "\n", - "\n", - "pattern-10/flatten->pattern-10/vegetation_indexes\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-10/aoi\n", - "\n", - "pattern-10/aoi\n", - "\n", - "\n", - "\n", - "pattern-10/aoi->pattern-10/subworkflow\n", - "\n", - "\n", - 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -315,64 +220,73 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:53:35.159\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:53:35.217\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.225\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.225\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.226\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.971\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.971\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.972\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.972\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:35.973\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.021\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.028\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.028\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.029\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.823\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.824\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.824\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.825\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.825\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.879\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.890\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.891\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:36.892\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.813\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.813\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.814\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.818\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-10 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.820\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-10/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.820\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-10/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.821\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-10/indexes: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.821\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-10/items: Directory[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.822\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.822\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.822\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.823\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m175\u001b[0m - \u001b[1m Array detected, 'scatter' required for reference:items\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.824\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/items' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.825\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-10 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.825\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-10/vegetation_indexes: Directory[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.826\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.826\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.827\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.827\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m284\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/vegetation_indexes\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.828\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/vegetation_indexes' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:53:37.828\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0112 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:38:49.641\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:49.689\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:49.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:49.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:49.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:49.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.092\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.093\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.093\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.095\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.142\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.148\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.148\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.545\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.546\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.546\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.546\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.547\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.547\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.547\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.547\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.547\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.603\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.608\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.608\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.609\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:50.609\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.044\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.044\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.045\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.045\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.047\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.047\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.047\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.047\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.048\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.048\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.048\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.048\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-10 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.048\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-10/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.048\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-10/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.049\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-10/indexes: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.049\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-10/items: Directory[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.049\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.049\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.050\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.050\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m186\u001b[0m - \u001b[1m Array detected, 'scatter' required for reference:items\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.051\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/items' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.051\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-10 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.051\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-10/vegetation_indexes: Directory[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.051\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.051\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.052\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.052\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/vegetation_indexes\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.052\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/vegetation_indexes' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:51.052\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0045 seconds\u001b[0m\n" ] } ], @@ -394,212 +308,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "NDVI and NDWI vegetation indexes\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/vegetation_indexes\n", - "\n", - "main/vegetation_indexes\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/vegetation_indexes\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/indexes\n", - "\n", - "main/indexes\n", - "\n", - "\n", - "\n", - "main/indexes->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/items\n", - "\n", - "main/items\n", - "\n", - "\n", - "\n", - "main/items->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -613,7 +328,7 @@ "id": "9d994b96", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -624,9 +339,9 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -634,7 +349,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -771,7 +486,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "735a2649", "metadata": {}, "outputs": [ @@ -783,7 +498,24 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"indexes\": [\"ndvi\", \"ndwi\"], \"items\": [{\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}, {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\"}]}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"indexes\": [\n", + " \"ndvi\",\n", + " \"ndwi\"\n", + " ],\n", + " \"items\": [\n", + " {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " },\n", + " {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\"\n", + " }\n", + " ]\n", + "}\n", "```\n" ], "text/plain": [ @@ -837,46 +569,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "2c1460a5", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"vegetation_indexes\": [\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-le48yt/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-xxo3gq/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-hy7kst/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-304s2i/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - " ]\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -925,7 +642,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -939,7 +656,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-11.ipynb b/docs/pattern-11.ipynb index 33abca0..0c6e928 100644 --- a/docs/pattern-11.ipynb +++ b/docs/pattern-11.ipynb @@ -41,16 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:55:07.905\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.906\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.930\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.930\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.936\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.950\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.951\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-11...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.951\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.951\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:07.952\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-11.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:39:48.692\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.705\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.705\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.706\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.706\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.960\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.960\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.961\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-11.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.961\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-11.cwl - uri: ../cwl-workflow/pattern-11.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.961\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-11.cwl successfully load!\u001b[0m\n" ] } ], @@ -76,116 +82,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-11/aoi\n", - "\n", - "pattern-11/aoi\n", - "\n", - "\n", - "\n", - "pattern-11/step\n", - "\n", - "pattern-11/step\n", - "\n", - "\n", - "\n", - "pattern-11/aoi->pattern-11/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-11/bands\n", - "\n", - "pattern-11/bands\n", - "\n", - "\n", - "\n", - "pattern-11/bands->pattern-11/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-11/dem\n", - "\n", - "pattern-11/dem\n", - "\n", - "\n", - "\n", - "pattern-11/dem->pattern-11/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-11/epsg\n", - "\n", - "pattern-11/epsg\n", - "\n", - "\n", - "\n", - "pattern-11/epsg->pattern-11/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-11/item\n", - "\n", - "pattern-11/item\n", - "\n", - "\n", - "\n", - "pattern-11/item->pattern-11/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-11/water_bodies\n", - "\n", - "pattern-11/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-11/step->pattern-11/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -313,67 +216,76 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:55:08.965\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.041\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.059\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.060\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.062\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:55:09.870\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.871\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.871\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.872\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.872\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.948\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.954\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.955\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:09.956\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.785\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.786\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.786\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.786\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.843\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.852\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.852\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:10.853\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.892\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.892\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.893\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.893\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.893\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.894\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.894\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.895\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.895\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.895\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.896\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.896\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-11 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.897\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-11/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.897\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-11/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.898\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-11/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.899\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-11/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.899\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.900\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.901\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.902\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.902\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-11/dem: File\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.902\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m File type detected, creating a related 'file_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.903\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting File to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.903\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m File converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.904\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/dem' to 'file_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.904\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-11 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.905\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-11/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.905\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.906\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.906\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.908\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:55:11.908\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0127 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:39:49.950\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.012\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.016\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.016\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.016\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.017\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.549\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.550\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.550\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.552\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.552\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.603\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.087\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.193\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.199\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.199\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.673\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.674\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.675\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.675\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.676\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.676\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.676\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-11 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.679\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.679\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.679\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.680\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.680\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.680\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/dem: File\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m File type detected, creating a related 'file_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting File to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m File converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/dem' to 'file_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-11 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-11/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0056 seconds\u001b[0m\n" ] } ], @@ -395,242 +307,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/file_stage_in_0\n", - "\n", - "main/file_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "Water bodies detection based on NDWI and the otsu threshold (with DEM)\n", - "\n", - "\n", - "\n", - "main/file_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/water_bodies\n", - "\n", - "main/water_bodies\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/bands\n", - "\n", - "main/bands\n", - "\n", - "\n", - "\n", - "main/bands->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/file_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item\n", - "\n", - "main/item\n", - "\n", - "\n", - "\n", - "main/item->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/dem\n", - "\n", - "main/dem\n", - "\n", - "\n", - "\n", - "main/dem->main/file_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -644,7 +327,7 @@ "id": "6d5c2e55", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -655,9 +338,9 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -665,7 +348,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -732,8 +415,8 @@ "text/markdown": [ "| Id | Runs | Label | Doc |\n", "| --- | --- | --- | --- |\n", - "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", "| `file_stage_in_0` | `#my-asthonishing-stage-in-file` | None | None |\n", + "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", "| `app` | `#pattern-11` | None | None |\n", "| `stage_out_0` | `#my-super-stage-out` | None | None |\n" ], @@ -805,7 +488,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "3029a947", "metadata": {}, "outputs": [ @@ -817,7 +500,22 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"bands\": [\"green\", \"nir08\"], \"item\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}, \"dem\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://elevationeuwest.blob.core.windows.net/copernicus-dem/COP30_hh/Copernicus_DSM_COG_10_N38_00_W119_00_DEM.tif\"}}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"bands\": [\n", + " \"green\",\n", + " \"nir08\"\n", + " ],\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " },\n", + " \"dem\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://elevationeuwest.blob.core.windows.net/copernicus-dem/COP30_hh/Copernicus_DSM_COG_10_N38_00_W119_00_DEM.tif\"\n", + " }\n", + "}\n", "```\n" ], "text/plain": [ @@ -869,32 +567,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "2b07440c", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"water_bodies\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-7kn7r0/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -943,7 +640,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -957,7 +654,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-12.ipynb b/docs/pattern-12.ipynb index 4e700fb..4033417 100644 --- a/docs/pattern-12.ipynb +++ b/docs/pattern-12.ipynb @@ -41,32 +41,26 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-12-01 16:13:27.345\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 16:13:27.346\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", - "\u001b[32m2025-12-01 16:13:27.370\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-01 16:13:27.371\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-01 16:13:27.371\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-01 16:13:27.371\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n" - ] - }, - { - "ename": "ValidationException", - "evalue": "Value is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mValidationException\u001b[39m Traceback (most recent call last)", - "\u001b[32m/tmp/ipykernel_2089446/3171673199.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m wf = WorkflowViewer.from_file(app_cwl_file, entrypoint)\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/docs/helpers.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(cwl_file, entrypoint)\u001b[39m\n\u001b[32m 26\u001b[39m @staticmethod\n\u001b[32m 27\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m from_file(cwl_file, entrypoint):\n\u001b[32m---> \u001b[39m\u001b[32m28\u001b[39m workflow = load_cwl_from_location(path=cwl_file)\n\u001b[32m 29\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m WorkflowViewer(cwl_file, workflow, entrypoint)\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(path, cwl_version, sort)\u001b[39m\n\u001b[32m 257\u001b[39m \n\u001b[32m 258\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _load_cwl_from_stream(TextIOWrapper(buffer, encoding=__DEFAULT_ENCODING__))\n\u001b[32m 259\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m os.path.exists(path):\n\u001b[32m 260\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m open(path, \u001b[33m'r'\u001b[39m, encoding=__DEFAULT_ENCODING__) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[32m--> \u001b[39m\u001b[32m261\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _load_cwl_from_stream(f)\n\u001b[32m 262\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 263\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ValueError(f\"Invalid source {path}: not a URL or existing file path\")\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(stream)\u001b[39m\n\u001b[32m 230\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m _load_cwl_from_stream(stream):\n\u001b[32m 231\u001b[39m logger.debug(f\"Reading stream from {path}...\")\n\u001b[32m 232\u001b[39m \n\u001b[32m--> \u001b[39m\u001b[32m233\u001b[39m loaded = load_cwl_from_stream(\n\u001b[32m 234\u001b[39m content=stream,\n\u001b[32m 235\u001b[39m uri=path,\n\u001b[32m 236\u001b[39m cwl_version=cwl_version,\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(content, uri, cwl_version, sort)\u001b[39m\n\u001b[32m 201\u001b[39m cwl_content = _yaml.load(content)\n\u001b[32m 202\u001b[39m \n\u001b[32m 203\u001b[39m logger.debug(f\"CWL data of type {type(cwl_content)} successfully loaded from stream\")\n\u001b[32m 204\u001b[39m \n\u001b[32m--> \u001b[39m\u001b[32m205\u001b[39m return load_cwl_from_yaml(\n\u001b[32m 206\u001b[39m raw_process=cwl_content,\n\u001b[32m 207\u001b[39m uri=uri,\n\u001b[32m 208\u001b[39m cwl_version=cwl_version,\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_loader/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(raw_process, uri, cwl_version, sort)\u001b[39m\n\u001b[32m 148\u001b[39m \n\u001b[32m 149\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m fragment:\n\u001b[32m 150\u001b[39m logger.debug(f\"Ignoring fragment #{fragment} from URI {clean_uri}\")\n\u001b[32m 151\u001b[39m \n\u001b[32m--> \u001b[39m\u001b[32m152\u001b[39m process = load_document_by_yaml(\n\u001b[32m 153\u001b[39m yaml=updated_process,\n\u001b[32m 154\u001b[39m uri=clean_uri,\n\u001b[32m 155\u001b[39m load_all=\u001b[38;5;28;01mTrue\u001b[39;00m\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/__init__.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(yaml, uri, loadingOptions, id_, load_all)\u001b[39m\n\u001b[32m 344\u001b[39m result = cwl_v1_1.load_document_by_yaml(\n\u001b[32m 345\u001b[39m yaml, uri, cast(Optional[cwl_v1_1.LoadingOptions], loadingOptions)\n\u001b[32m 346\u001b[39m )\n\u001b[32m 347\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m version == \u001b[33m\"v1.2\"\u001b[39m:\n\u001b[32m--> \u001b[39m\u001b[32m348\u001b[39m result = cwl_v1_2.load_document_by_yaml(\n\u001b[32m 349\u001b[39m yaml, uri, cast(Optional[cwl_v1_2.LoadingOptions], loadingOptions)\n\u001b[32m 350\u001b[39m )\n\u001b[32m 351\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m version \u001b[38;5;28;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/cwl_v1_2.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(yaml, uri, loadingOptions)\u001b[39m\n\u001b[32m 30898\u001b[39m \n\u001b[32m 30899\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m loadingOptions \u001b[38;5;28;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 30900\u001b[39m loadingOptions = LoadingOptions(fileuri=uri)\n\u001b[32m 30901\u001b[39m \n\u001b[32m> \u001b[39m\u001b[32m30902\u001b[39m result, metadata = _document_load(\n\u001b[32m 30903\u001b[39m union_of_CommandLineToolLoader_or_ExpressionToolLoader_or_WorkflowLoader_or_OperationLoader_or_ProcessGeneratorLoader_or_array_of_union_of_CommandLineToolLoader_or_ExpressionToolLoader_or_WorkflowLoader_or_OperationLoader_or_ProcessGeneratorLoader,\n\u001b[32m 30904\u001b[39m yaml,\n\u001b[32m 30905\u001b[39m uri,\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/cwl_v1_2.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(loader, doc, baseuri, loadingOptions, addl_metadata_fields)\u001b[39m\n\u001b[32m 1016\u001b[39m doc.pop(\u001b[33m\"$base\"\u001b[39m)\n\u001b[32m 1017\u001b[39m \n\u001b[32m 1018\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"$graph\"\u001b[39m \u001b[38;5;28;01min\u001b[39;00m doc:\n\u001b[32m 1019\u001b[39m loadingOptions.idx[baseuri] = (\n\u001b[32m-> \u001b[39m\u001b[32m1020\u001b[39m loader.load(doc[\u001b[33m\"$graph\"\u001b[39m], baseuri, loadingOptions),\n\u001b[32m 1021\u001b[39m loadingOptions,\n\u001b[32m 1022\u001b[39m )\n\u001b[32m 1023\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n", - "\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwl_utils/parser/cwl_v1_2.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(self, doc, baseuri, loadingOptions, docRoot, lc)\u001b[39m\n\u001b[32m 789\u001b[39m SourceLine(doc, \u001b[33m\"class\"\u001b[39m, str),\n\u001b[32m 790\u001b[39m [],\n\u001b[32m 791\u001b[39m )\n\u001b[32m 792\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m793\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ValidationException(\u001b[33m\"\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m, errors, \u001b[33m\"*\"\u001b[39m)\n", - "\u001b[31mValidationException\u001b[39m: Value is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object.\nValue is a array, but valid type for this field is an object." + "\u001b[32m2025-12-03 10:40:38.851\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:38.853\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-12.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:38.874\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:38.875\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:38.875\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:38.876\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.684\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.685\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.685\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-12.cwl#crop must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.685\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-12.cwl - uri: ../cwl-workflow/pattern-12.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.685\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-12.cwl#norm_diff must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.685\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-12.cwl - uri: ../cwl-workflow/pattern-12.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.685\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-12.cwl#otsu must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.686\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-12.cwl - uri: ../cwl-workflow/pattern-12.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.686\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.686\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.686\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.686\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.687\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:39.687\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-12.cwl successfully load!\u001b[0m\n" ] } ], @@ -86,10 +80,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "b72822ec", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.plot()" ] @@ -104,10 +109,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "1f48503f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `aoi` | `https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox` | area of interest | area of interest as a bounding box |\n", + "| `bands` | `string[]` | bands used for the NDWI | bands used for the NDWI |\n", + "| `item` | `Directory` | Landsat-8/9 acquisition reference | Landsat-8/9 acquisition reference |\n", + "| `cropped-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | cropped reflectances STAC Collection | STAC Collection URL for the cropped reflectances |\n", + "| `ndwi-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDWI STAC Collection | STAC Collection URL for the NDWI |\n", + "| `water-bodies-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Water bodies STAC Collection | STAC Collection URL for the water bodies |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_inputs()" ] @@ -122,10 +147,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "754d5444", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Runs | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `node_crop` | `#crop` | None | None |\n", + "| `node_normalized_difference` | `#norm_diff` | None | None |\n", + "| `node_otsu` | `#otsu` | None | None |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_steps()" ] @@ -140,10 +182,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "9d819c9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `cropped` | `Directory[]` | Cropped reflectances | Cropped reflectances |\n", + "| `ndwi` | `Directory` | Normalized Difference Water Index | Normalized Difference Water Index calculated from the input bands |\n", + "| `water_bodies` | `Directory` | Water bodies detected | Water bodies detected based on the NDWI and otsu threshold |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_outputs()" ] @@ -158,10 +217,95 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "28b9c9ce", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m2025-12-03 10:40:43.006\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.062\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.065\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 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to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.568\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.568\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.568\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.569\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.569\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.569\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.570\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.570\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.623\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.626\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.626\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.627\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:43.627\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.037\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.038\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.038\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! 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Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.039\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.039\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.039\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.040\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.040\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.092\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.097\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.098\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.098\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.098\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.511\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.512\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.512\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! 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Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.513\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.513\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.513\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.513\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.514\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.514\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.514\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.514\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.514\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.514\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.515\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.515\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-12 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.515\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-12/aoi: https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.516\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-12/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.516\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-12/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.516\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.516\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.516\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.517\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.517\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-12/cropped-collection: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.517\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-12/ndwi-collection: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.517\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-12/water-bodies-collection: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.518\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-12 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.518\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-12/cropped: Directory[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.518\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.519\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.519\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.519\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/cropped\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.519\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/cropped' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.519\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-12/ndwi: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.520\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_1'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.520\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.520\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.520\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/ndwi' to 'stage_out_1' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.520\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-12/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.520\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.521\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.521\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.521\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_2' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:40:44.522\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0071 seconds\u001b[0m\n" + ] + } + ], "source": [ "w = WorkflowWrapper(workflow=wf.workflow, entrypoint=entrypoint)\n", "wrapped = w.wrap()\n", @@ -174,10 +318,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "3e868052", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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cgDXxbqCC+SlzPnwNvp78HGw9HqtiU6/6kj6vWr/Q56U99oOJudTaomd/1nWnotPFjm2OEia6qjk2TLzXbJA67gtetgRjQ51Si3kTQDNOzk3pgRxspfR+5s4eyB4geqBax1MnGpXHVFWvB6Sfo/CiotzjXu5ehhksHWChjm5/QUF/KLcZlUteyy3P7EW5P+vbfJbSdoRXF84/PXhYE7/5sPOqVuVbsPW4jO3bqWtNTJL8Qh8D0OIKa4tqrgn20G/r5+S7CKfNtF9M1zxTXBV8Pd6jL5/CMiOEXTMIu1oeXOvamHMieyAHW5EdnumyB7IHiB7Qy4PqxcFmHU8dU8UTBgE4HFtZTWGpc8AX8o+Hmaks9QAdbjM3wnGXPbzdEPZnnb5uFrrv4JlA1J4p3wpiKelrsPV47Gpvp24wQb3QZ/55931Di7CsywFmEOGALjj44ct7E697mOIarzwLrG2VlHvJYP++N97zAVNeyeTDzOWSHsjBlqR3M3b2QPZAmAfg3Ct1kIKJr8oH/bjiq+oxwo1+DkydfKTWCC9B+7pQ1trd21OuqayS9gYnGfT60/WnffBGm3p7zuTzEQ+mmrre5v3aa6XrJS9pT7D1uC88MBwv9HlR5P8Ap5vCexO/hz33w3LUGy0R039+vpcaMJk5HxW90XyNPabipXn9g5rsghcIDMuXjWMO/Ko3zul4HsjBVjxfZ6bsgewBjAf0SVUQYMEXSPmg35YvvoIAotwBY3ZhxZjCskbrcwkK+JL9Nqli66MT5dN0xWT19tqdhvan5QCmkb5Oez1bbYsFqqYv2Ho8/BNkbC/0ecrHpEzYA08tNu/muh9XY3hJJNZlGE5TB5YW1bLmcLrcfZliM7W9V3PgVzGawnZ6zNvHvZC5Ap8HcrDF58uMlD2QPUD1gIqA1BzTWB3yWJ1UBQEW3yST+vtf4cODhAXAw+HdnOheq3WUhT/9yYv4rHDezOCcqAXm1IIDHHC1Qu9E+nAq6ZPZpvzBlvt2atv4mbipF/pwvEDxCYlMqR1VZdgDK4tNTU4QcI3xnmuC+Jx33q9mQzhqlifkgr8mTnvYTm9PZuP7JfpsQi7xeyAHW34f5RrZA9kDIh4oj9FWRymUT/qpOSZ4vB01lYKUcz0ftvrUIpghU9uwOE/CwojQUVabc80xsLrORR1UOpxvGwOEN5z7Dl6V433y8Nnovmh4386z+CWFCbYa3k79glF9KFVuE8UH6r2JU9hA3zjTdD8uh73JGuPqBrv8WZf9GlY1gbs53PMDODXMOwfgONxWr490gHIGhwdysMXhxYyRPZA9gPSAOT6onMJSL4jjP0qh3OpeTmL1h5NU50Leqiff+mP822OQHqyq3Q8rtUHLsxHeQKo9UdNdmxhmV8zxYS8q2Gp8O7URWLve4YU+baLCWlOeJMw0fQh77vvFoPjyRqNw/ovmXn1Y1CQxXA7qtLGifH0kz+OuJBn/eKMcbP3jAyCbnz0QwwMwxbRbqZOCetVZCrAJi3UKC2yAEGuzLGfJ+iN19Hb0SSztx7s+VwlxphPV8+etWjhc+jdoVQSX1aiY7fGhE7T6flyDoxsZbDW/ndpBg4zDrBit2Y66amLw5j3DntfJrKvvxUZeZH+F817NsA3nH8/890M01IB3dpcHucF7n9Cvj2yAyVk0D+Rgi+a33Cp7IHvA54Fyn5SOf4bqUT/+CAt2u6uFwvJZrBG8VQ7emNNm+sZnQbtyWAhSj5gNZyuW/c6N5PDEIWzXxi0clgCwIb6/aHl+wX2JX0EsSbDBFkRxzW+nbrBVvUBx1bxnvaG2VJaa5VJb2NeHeujneWU3j5h7+ZYl2MrFOcmlpNWXtutW8cjOKB88kIOtD47J2dkD2QMkD6it7jCJVb1Vd7aAnej88U91tqPiKM92hFmsdCEWOElvrx5M4CQHQSGnzUwdtek72aHWa6dFf4A6TavW5vHY92ctrcAHW+rt1LgnHEESvECRIP/FFp4PsJdr0u+NFrVFW++bu3mYH1cV7UF4XaPmQi4XuuG4MdlRy6T298PkYOv392G2IHsgvQee4U/1RhGRF7nB6+a2Kzizoac5Tsn/LlfnY45gM4z/NTBhXQQnbMJO+MWuzUwPcWqo5QpiaVebYEud3eV5+0/NVzFeoFij+5a8nzbQCeVDg7oaTHC1XZ/9RvC5TFNPEUd7fAb5UKLmuWB533PE64fGORvvgRxs4X2Va2YPZA+8eUBvlILwpy/30rbaYdlqv/vx0mr70Ztipo/mwTU4CfzUchqorQI42qHlhBYwwCEPo3Wb0Eyrun97leFH5a2CLTh0azBpESbHeoHiR+teCq7wtupyO1V1RP91qw6IFR4BWsAFDq0t4DA1zCEfL5oRH2A/lzniVXo8I9T8lVVysPVXdms2KntA0gPlNJbdKKWOrJIIf9Q8Fuz4GnTsNXAqzPp2JBOn4+GRQ7VDq9WEFvAfyI/zHfqzFmGQNbVlsPV4rIu1bYxIxHyBIkLO4w6nkY56A5hpAm+Vrz6iBLYYJqfOtYq4lhIRV7mdaz7qFWP4E0LiV9qx5l/KyMHWv9Tb2dbsgRAPqBir3IyuV/GENkrBQdhriOR6PTi3QSqQI7lBfcXC1p3hx8PGSaifGl12c3g3X/uTy8tIizbVcp0MWm6l1+JbB1sPoEIfrlqSxH6B4qduqeVXM03jBTwOcZz3B8vXpxZrFdmTVzj3A+a4hCKux+0ILxPqFTBry3GwPbv1vxQwB1u/tOOy7OyBaB5Q0c9CPfAHB4OqIxVo3+Q+ubBYCEc3wJ53tSAJLF36y/oG23Xg1cXqVXaUiR+f6U75aTMt4Ayt9t/esE9r1OLg0lfiltNNtcbtgy21DX/eciAleIFizcYPyRssKw7VKQ3b5SBmvAWPZRxW0756RZPQb8oN3t84VNN33E9DfvDk356dg62/vYezfdkDRA9Uy3g6+tlIxVjwKJ+ayBr04LlCeHQx/Z73V2/BH/lVmLWJE2Y9yncfD1Ev33lVCg/vhURaj+NgSg4kKcEWvJ26wLzk+sXKRC9QfNHQ8KE6pWEwHhf9yKdVlEeBDGabdtOEDSZ8ylLHjck8DfmJ8W/Nz8HW39qz2a7sAaIHbnD2IUxk6WU8seinDLLKHVnw2tyDyK4vogOqZnotBU6AlzzO4UXibb+AlcNVi7Mdns1VpBVwDOh12j88wdqmSMHW43Eejdvv4b9tU71A0eeVclmx1ytmYpHPBwXnHYybUbtnVT9ANWdXT0MO4LSxlpORzXD/Zm4Otv7Nfs9WZw84HlDvr62mmFT0I7aMp2l+ilE3gyzwC3x5TQp4t7P4g4a1PrjAqfAFvH2nloVPnpf9YUCkpTasr/Bsbk1isKUO3VoSFsGSvkDRtf4l57qf9X9+Bujj/V8aB3yAeGja78Giolw4VAaTfZHzJwIM/zVNc7D1a7oqC80ekPEALBduFtMhrOPJRj9woA+8oQ0mzGRpgpyk3gYMD/bPIu3N0lrPaovWbNt+lqdsf1kNBmGLV6fhhMitDSAHW4/bjDajlvwFil+H2X7SK+DFlW3On/2Khy28HeD9AoM5dSRhaMqnIXPEhXHVW50cbL05JH/MHvhnPHA97VYz9X6ZyWKzF5vJgjfqVK9k66u3BcrRBHZbtWqoXo7Sflt6CPVpPYGvxx11u9R1MyoWtOkwoxriHfwho6bR65UebMFOM/JeMXjukv40wKsB/J/2095oqo6H4H2/IUIovDlTncsWNii+86iIqye5U+w7/e8szcHW7+y3rDp7IMAD1cvResUI3uIneISheouNnsqCk0gD9Ao3VQdnwaOG9ZexCDNq+COcojVa7MkLP3c4UXNOO6zhaeCGtJL3bK9SIcHW40E6R7USoE7Jj3bE1avN3k+37ahY7nfq6H/YwE5YLfUyfK5Q7v4bLelD6zO0LbmonWLwVgPq3wkW6B9J5GDrH+nobGb2AHig/gpawTmm27GMsiCYg8cLyaFEhB5Tx4HDc/tvrxmOQAwTOirQWpL2wmt9MHcyDZ2SepyGhD3qjoPCgq0H5Q1BVgO8QHHY/v2Ptrlo4rLqDze3B7xRGsKSFm8PZxF1P67UpKnkmiK8DAB2ipG3GrKY+WtAcrD1a7oqC80eoHvgCtuy4NjzASwYHgTnmO6nnZrLKt8VKBjM0f3wbAlfgK8vunsWiafCA63HaV6Md8GzJfCawtanLzR5JzDYejx2/XmAMeULFOOu/jZ5oTHvOO9Ny8nH87Y6pDbuHx/VmiLhxLZGY5oz4cWd8DBk++N3m9H+2twcbP21XZsNyx4AD+jwpw8nGEhGWQ/YWQ5vZO7BwmR3t2XpAQHPbc1hOmsWfTNNyc8QaD2usCU+6OFD7YltsQgIcTSIugQHW497YNh3Xg76S8ltSjVrWybv22F/XYVY8PoltddpGzcwvO7m6kFXUdL7cQ0vlgpYEm/p1F9YPQdbv7DTsuTsAYQHYDJrrk49h5fLSE4yqY1Z5ZzZMuZBCQj7m6qo477hhEZ4DUlTqXgeR6D1gI1aoVviK0PPoxGXG8KDLViQCl3QPK+G/UXoDjaZMXCG6S17jBlMcQ0o72EKknaDgKsnHHA9qoc9RDeKBTkhbeMcbKX1f2bPHuD3AMwyzYa9PiwZih7HaQ9XX/+G93lc4STsPpydteMKMFr226ncoxX8ahV4Ai98o5aSDue3b1ua8Lk6R7D1eGzCDvsCeZf1sAh+YuCzmQEltekthVK+YTz2FFeUgOu8mfSGeUmxYajkYKvBKTkre+CXekAdEzX8GUyX8G5cQRPUpBm8qDbm4eoh1lx2y7Hga3v90i5MX0CXZTHa8uz5gU1SPECl9TzB1uM6Jb4Iu9YFcBZGb2ZnkWoFyZNqeutl4g32U8EUl9i7DRsNvu2jzHDBwx+rbi7qNnolSmYOtqK4OZNkDwh7ABbIZhBmTYTDLPsOm23kZ9mJ7iu3wSd9zch1OysGc4allbs6SYDp4Yagx/8auoIp2Ho8Dv1ZeAzYyRdWK6/dt4Ph23QivAqzPIY05nyrCriKmfCRDcflEDjCO7NhtP3SrBxs/dKOy7KzB7QH7qctvCq5mMACmeRslnrXLtDAbNbvCLMeZ70NPqHc6ltty3EQ0am+6ydw7N+XxSYQ4q05W7D1AG1v4cgbFe5jR19YDSd+TIqVE4GUU1wT0WNI39123U6LwSJ4Vfsd9uUz/J0BK4p5gks7JQdbL6Mjf8ge+E0e0Pu957J7sx4lTfkOG+dropveKp+yj36u0asv7vCnfW/C8wjYbQ1PH7L5fs8xe/RqLF+wBfuumPbt33fwwmqmRddXa8M+XRaNb6oOeQk5UdAZHiAcC6/2nVawi24v+Vcg0fj4zXKwFd/nmTF7INwD5UthC7VqGI71BQEOV6+2O8nSfFHQsgiOtU5xYvebSrUbnu1r7DDtzfmmB66T8H1Rb9ZyHP1Qh2Q7kaKjL6y+b/qjxtNoYU1xBAdWRYxNyj8JprLnnqpV3S5GvfUhFyOdg60YXs4c2QOMHoA4a6zecntgm+toFJd+u1OjrM+ZcLYibH+J/y66N0Vqkxbf41jXZX+0ZZwYWBXrN70cHzlntkAPnLXaGIwQpHb0hdX7cX/zoVfV+QlRD6y67Wb9vuzsU9kLHZxlJAwoepMcbNF9l1tmD8T2ALwANlKcBa8Xif5CN7o34UjFaQEv3w15+w2dvday2hbMsUmrBD1MigXTnvgKj/zS55qNDUnmYAsO3RpM2Jz4OMyLEccZsA2G07POs4bNWwZOnZ8wiHlC6AVmn8YbzqFmTLFXOLRkDK8u+nd/crD17/Z9tvxXeUDFE/1iIj2fVU0P/aI4CzbCqwfol3u+L2fiuFAHPHA+8H5b90csL9Mx9sDJCkJnIrAHW4/HmnUKTr2weiUaSxgn46+XebH4MmjPkWe47od5v78QGiCVVw7zHsM7pvAe7lbNHGx1qz+ymuyBBg/A+zbg5WML4XiinB6C5cnk00MNHmjOgsgQNmjFfsFvk5b7Hr6pWJdijrBTi3ej3Dr4zNAmy8s8gWDrAZvL+HaqgcrToj/o2Aurb8ti/jUC1AHXhwXHj91BLlBb5icsT89+kqDeni4a0H0iTp+fg630fZAVZA988cB5M+33pd+z8bju1LtkpcO5L2a2LjrBwmFHIsPTagTPHX791mxp3m0DBzLxfsUeORfm3s2RCLYejz3rwaug+dS5FyjeVsXUE1KrPVyjZbS/gO47OBdu+XL46ntvh31Wr5viOi8uTEnk1jnYiuzwTPe3emC9abJshTs06EO1k3q56/x5+uCHak3ELfLglJ8+vKeWdRqhBf1L1SVm3aya0GKNDH281vPv3fz63eSD0bZ6qp1mvZnqjdPu5VnTj60+Fjxde5uRt5x/QFeOsF7xBVuqoq38VFWlPha8vlLozfMfW33leiwmA5EXKL6pe9r4Xc5qC48mThp+9V7NU+H8OPAcrg/9qJW+8Cm6Kf5A0u/ID9c1F3jqY4f/W+JF29Ozvy2Vg63f1mNZb0c9MJk2CZvMn7mz1TP9lhrN3jLgm1YFWm/vGKujOQ1IGTBvBuebMz36/cVArLhhzV+NbU4w0Qc74blPKvXxWs+/dPPlfdXFB/OoXPS12m40qPYRT/9XFH/GTy98bOUUOB2xKZa+7zanjSF20KsC5QjrFV+wpcZ3wxiv3GFRDGPtCi/LNjOGL56vcddql8mvXEryRR39xD1186buKcor5/HY9ifO7JZyykuX3A8w9zylzZ+WQB/6USt974Tbbgr72e2WshcpT+Oq1HfkR6Nr2jz68a7tnf+XfM7B1i/pqCyz6x5ovKW8iG76ttEV3oouam/sW6D1AsXy4aIOkZ7j/4D1kr5Z4a3fUOHbfbs8hWi42Jlv34bm5KxvvC+gz24+LmCX1tv2Ey9M5aLP1WBZaWww1Tfd6c9zwvRjK6fgrSNOw7HfZ29tnkY76FXR0xHwmRpsfSR90m9NnPhC+Cx3UgqzCbeed12Pive+c4BaZXxUh5Hz2PSnDT1UV1yKgTdJ9/uEd+CUQB/68bOVsGO+GOmnChwp9WYe5A+uua6KiRnqdbS/Np2Drb+2a7NhYh7Yj/pjmPlfbjeDQflduOoPtuqWstyu+1XOZlhM1O1ztbHV1j+98dj+qThXBwmpCXZoM5jW7mVw6k3RG88GAKd5AAXwVV1Aezw09JO9stN+Pk76A/WSYQU82EPbYXlLs2Bl9WpDt16gNC1OwHkbw4rPbvE4A8rUqrWfDMp+VAzhwKZSvBH6aqABBSvKqrVr6T0Daa6VFeq+fZvCWqIm2pdTfpslPCIw6E1Wa23bZ6XwPpTK/Bqf4SfwVqq05003g8TttDdan42XbGcO52YAmE6pPhtR2kXDuRk5Br+6nmc9tWG67pKfpa1iwS2dtvHdaa8dAYdWva3N1r1n/GXaaL/rjlXcltaMvGo8qvFejkfV4udVtPW9+TVQ47sc46/jpyKtj2r726KYqyENK6AH7fm68LKVqvVO5nBVFbSBluy4Gf+M5voXuMSx/1UjVrvAmAAfq99tmwDcckSVv57PiMKMd90QKWdZzOb2fgJKQGdDl8Dv86LofXjm1QwyeycwHVYBPQed0V3r5LIrbUNr4nwFTxWMF1aKddFLwo4QV4H5lakP6Wfb3XDgnjZmQOydrhpmz1a/NZWDrd/ac1l3Mg9s/rc6LP53fgx/JvvlH4hkVv9b74c/8OUz/BnvV38gWln/b7Uf/QcRD9xqTbUT7FN4blQonwwbl21Gu335RQQGwcstetPtdfgDeQ/D81j8t9mPFL6qZqANrHGD/bxaHfaDgRIz2c//TKf72f9AiAUrWV43dJsW1z+Xx+4PNB3NH//NDvvnEU/mk0HZ/FkcthAXvQh9NdCAmqr2qr1nIM21sgPihksPrDRE1z8nONvhB85wLV98Y0A/K32YKpZPSzWIhs9cP/M+Hv/ZA0CV5003qx0tenpBg9Q6Uw8A3StmQBhR2kW2r3S16gLfgetyse8p7baGcWZ+DNjD0mkb35320hENx7HXvWf8pdsYL1UdWzJbWjPyrCPK8Vi2+Dm/DBjje9tCuU/9M/C6QkVaH9X2t0VRGzcdi/9W5S9YXbhqVf68k71zPaoK2sA62eCn6A3+5xyfqgErF1gTrBtswhhjxkWYnOv6B+4e5f1EAYFOp0vs7/MeDpqH20RFaP83g8y4zd4qKiCbbXTr396qvfKLrWFNVCPt3O8Vk6J+77KMOmGrOwqsa55D+rXxaVpUY/6ZbUCs/HLkPMt/bSoHW7+267LwVB4ov4Knk8ewDwqGcJNSGff/qcCpBznzAnLU9qyfRXnPtNXU/cz+2C/MIVQvbycw2QSPAZV7Zcu86qseeB7/gwmt+3862DLQFlZDvny+/YFYUMn7gdDp8R+Ef0Z0xeLuWFEtHr31Yzb9c3/8b3/5U7+V208G5T893/Iq9MVAJUuBmqr2qgKY6cRAmquqDj/D+bE0UBPdj334Phz/94w4KtCPSiuUYF7oEXD37n9l7KMwlWlK0+2/fu1ZLSP+2ZlmAFQ6ngMCPpcerlz00ldVVThUa6y/9g3q4/znz/9qk1J2dFk67dM3p1VqK1jY81T3nZb17GdNDv1UKTMdXHVsWWppzch7jnfjlceP7c+yie3r2q+BdSF0vh0UJWmJYmrWXWPT/42LzU39gtWEV3qB7p1MFZSQ1UCzFaoGZYkmA/zbrvczef4JVFevx7YVZrr26Q9NoHxW/vrXW9tbQAs5vWJxU/cT9WOaPX9zS2/Y32c1Ad7wImk1yJ5uM9pL05/ZxjG1Ti75bA1roh5p13XvZ/b5JUK2uhL+qkC7xg5pVeP15zIrlrfXLP27YsdbKf+9yu/7nIOt39dnWXFaD5z/zBaLBdyoyvvibPy4wIQQhAnwXaD+PQ5/7hcVuTymo/KeaaqV9zMr3X5hlsWj6ct+1DLP8pxLfPXtD3cdC21hNaT9fANtxZ99JW8A009qJkSD9Sb1Xa9GjGnxAGN6h/7+CPFW0avvadGfjKRzaR80fxX6clPUoKbq86q9ZwjMtRIz7JfhRUk0LX56o+n/rpVby3K/0kc4r+rbxx4CrbI7K12l54/bSa83vFY55f9a/LMz9QAwVcyAsLorF9m+MvUu8/qhWtYl1/NCzZzqHwNmZ7aMT+tOK8WbjrgvilqwZnBg5/Wzn42/qtFpOrjq2OtmAxuyDa0dec/xDjxVi59CD5iyidFlW5TgtvKwMBUqUih41qy7xqSB8DIeqoX1mnBo1UwGBQrXmmLIVH7Tr9BI/erVXiVj6pfsNWGma40/DIF1R7gcOHdrADcNrbOpS8zvc1mnfJH0cxO7GWRPt9XuQvp3FRxodOuciq7kMg1tl9uRBn97wNifOpOAVWPjETuWDJB1zdvtRHPqy3XRqz++Ycx4ur7quddGv/BTDrZ+YadlyUk9cPozX8LPGmZhQMdsBHcv9f1bLgmq+/nxz60Kj2bDKtjS1ap7p5H+/H6eP+674vXP6xLZ8rwEWxbasBtA+7k/OpzPf3aVvMECyoFLgU0GP4O3P+KrxqbFY/ff9X/3+WwJ02H3zfh/PRVElj/6k5F0KsM/KHkV+nJT1KCm6vOqvWcIzLUiGg7+p/7uPv4Z9X/6oznMLPXWF1hK1D9+pY8gXmMg0L3wQt9dFv/14K971c3PHy3+2Zl6AJga5bcODAiru3KR7auq3nHy+uaWuktG+ssXahow+xVofKqd9hSvO2JXLMCBDT+1fjb+qkanhSgVHodD2O9naO3Ie4534Kla/Kz1gCmbGF22RQluKy/XpkJFCgXPmnXXmHRJuPvp3+sDFFo1k0GBwrWmGDKVr8MwNa7ht9PgP15eoGjql6U1YaZrjT8MgXUHh5xr/wemoSudTV1ifp/LOvCfmqgeVtPhtieNWU/tpekm2+jWv70aSVUxNWyX25FWSrnvxr2ZOydeG5hmmBsg65q324lRb67Xee11AQbkTb6p+3uvOdj6vX2XlafxwA0CmfLH3FLuMI0EX87wLTyE8Ar2pTyqHPWnONzDTLXq3lk1fTzKu2ZftZnOi4mqWvspm1iee0mo92xZaAur25nPal8LzBS8BVu3/8E2rcZI6/GwLWAJAL6CDsVwUWLeCxUmmh/1yUgy18o2+6n6OqsaGFBT+H5VtQyBuUIWrIj9bw7PYv43Oeg4YdWfq/XQ8seAqnWGD0pNlXc+81nhGD5zhSzFC4sutVp1XrVvpT+z3VxqMf8pkGdn6gFgCvWAMKLK8VCywX8Qppc/++Gg+n6tPlb/W2kjhVj9mNFl6YxaR3zZEc0riCVUzXtWWtnGIFYd+0prR95zvEObqgVskIcfI9qg2Bbl0LeVa24uSeG/Z00zjBWeSWvCfn9XE142hUoOmSqAfybfJqoG8L8lM/iK63GY6RcomoZlqa1rf7dtwtTT6vRv8Gsu/F63lTMclwu/utnTvsob78GWUg4bPdWjlbYnjVlP7aXpJtso1P5VCPCjqpga1kQ70spiqHXbjPqra9mg9p8ZmB8UqDsj/JjRUWv4TF6mAx3GWZA3+c+6vzWVg63f2nNZdzIPTHowPX+GP/lVLKK+Msf922P9B24pQ4hxrj3InhTXx1ZNyMA9zFabDW46gIB2894Ndu5O75teD96RW94NnwaVTR6G5zHtHa8ztWVFVTPQFlY3M5/vf2CWQQkpM6qb82I96P3AzQxEN/zYFo9H/88Svov+HB9XqHnrqT0f6sd+MpLKKwC+Cq0baEFN1Zfr+WAgzbUiegzH8+K/4f5uiNSXjdqyVv1Y0I9KQb02/4UPpGpEw2euhnf+OP23sLUg98l7hnPH+5NaN+s2T7/ozqwNAANbDQgr6lG5yPQV1NoORu+dYqStLzAhAOaYHzu6LJ22EeBexQPLbVG4IZxBevbz01+VMuP3qmPL+pbWjLzneC/Ho/pt+LH9WTaxvq/9GlSDV//qmAolaX1UP39bAMi6Sf+CwREWhRmgz18Zg2XkKTgrTI14XaEysE5m8bVf9AsUdf3KBQb1+bv99Ic2xv76N9reXk45IamaNXRJU7AFtNcNPLMBc8LPX3x1X7LaSyBrbWmfckxlYWW84rM1rIl2pFVSVNXzwjmxwVS3w9wCGdeYIV1xNf5/6M/Ku6MFecpX2v6Cnxxs/QWdmE2I64H79M9///tv87w3Xft//huWy4jT/n9/hnDPuA2gigpV4D5h7zyXwf/MXieoUfz533g06M3KXRhvt5PqLmh4HvfJ//6bjyGGU9UMtIXVxtvP6z8//1vBzqcyQ92cTz3YEGTBGnxlWkAIqALEwf/glvrfn58/YxMb2k8G5T7+898fuJ2/Cn0x0ICaqvZaec9AmquSBY/5/fQ3l/N/sLKqfQy5k+c2dQhpK9s+KoWnNXUVy6elakTDZ67aHcqQRt7zsj9YVtvHbTfrNk8vlZ35MgAMrB4QRtSjcpHpq/u6aDg93Egb/Pnzx+z+VnhDO7rU2FF02kZHPLD8N71ZmW7C9vPTX5Uy4/eqY8uGT1ozqK0j1HgsW/xsjOiyifG9GavlwLWV4VfHVChJ66P6+dsCQMZND0u4+fkfxM1qgJaQjWQKrs5lyCoD62QWv8Qp/4PD0wbLUTm4KxdYE6wbbML4yqrjknOfD05KZ0OXfAi2gPm66f9X+8VXwZbVXgJZa41u/dtbGa/4bA1roh3YlZSq6mM36r+c2GCrm2FugYxrXkaHRnEuiz707XNAPuUrbX/BTw62/oJOzCbE9sD9fH2lvFS7m+Amo1OP69lEKq81n58uu2nDczjPckjVeeBBLP3jg76/UNuzbOpgBkpfX1tUmdfzrVbLfjIotxcXmNxaCxCvPWCqmquubCCrqzpB8eWVbBay3CNjgC2oyYCrAdJZtorhM9dG3hpOlazzqkir/u5i07nPRob7YgfESx07IKyoZ9MHbIeeVeOmllkmNaoR/iw24JburYoWD9vJIWhG/rxJs/bXmhtaO/JMRlkHWqhlROOKMs/osi0MmoE3FUy+5xfGEF7tcpNtCEGFHovvZIbLVrBt3mvaAkiclnBwaG22Ude1XWkTz99Po66CYZBz6JtJZQVp7ajwP/5/WcFRrWXAYqp8sNMHWDPRjjQDWV7P8AihHfEqR3vgbSw9C15HR4nh/nfol3PYT5AP8t2WvyInB1u/opuyyN/hAbhJoX8Oo4atOs2tT5vzafKfL3hrbLvpj2vfG41VOpB5g0edau8GqSu6bMxm/HqufBp4F4M+zGkF/XwZEPAM1uLl+yqIqN74vizswms9XzCtgq1IP7DcVP8rQIT1vIIXKL6Fq7YrbUKEWoPexhPS7/t1PQwetGbC+qt912UxZx++V71b9Cvzry3Mwdav7bosvHseGC99mq7j6mc3Gn54jroB4Tzs9T69cMUANt34YJVqGhQtfANv0Kmy2jeBv8d708Go9ItrRb+HCxza835Ve+v99ODrlob6bPZxQFwXvllN69+2GvYRohErTiciBlsPiCW/7EZ7V0b97LxA0XalTVChce0WA/eXAdUSpmNHW2yk1jy4UCbeV4V63QHrz32sVwzF42lW2TiwHGzh/JRrZQ+weOC+Vz+rQYtQ6ztvBbhvOHEQQq0Pq1TfEWuln8FrlV6TLZuUcwhHeIK9+sF+R7xyqk80hOZW992kVy3HNJe77G85vmYtQq22ll0m5rGuN01SH8vv2zLY4v7m/aj4y3OWH9sQCvhfoNhKxKZfOpTy19Jx2nxGg8vvG6lui1qOCreIEWEN5SV5V1tT4SdCOP3CG+NDDrZieDlzZA/UPHCZvr+srlbIltw2vtuWDZ4DCHbH6CPzOdC4MI6z3gQ/60hghQcF3TOzCThNTVa1A4uayvnzNmqTkAq2jrgpSBYF9u3ULGifQa4bOFqq4Q+Zzy0YS3ZltFUFH21h75thfy0/PQSzjPXzSNuqbKh/V69chadiGop+e1YOtn57D2b9v8QDZgvIfS64o8aQPPaDMeVP4oi+PMFzX/XN5xGpv1BdYA1mI/Aldbf7lmE6YCFAUNp06D/fHf7FSNaiWwGmQbB1LKSsapKr3k6t80UDY9h9vx33ph9OqGtSxpi3hSNlHj0q4Hnem9pRRwXxtoPzSE2QbW8+3kbfKlzLjlXR+9/2k4Otv61Hsz3d9MBa34oa3gvMJ9iQwNNo8rfZENmwr2S4irbshFV63476SxlVNqzcsK+82O+4a+wVxMqv494Rgq3jD20KBts3Tr3jQAeWu8Y3Ejn1AzLUsvJkFzOW1GKXo8fpx/ZvawtgemtQP6OBeclP6zmbR19P9nnp1krrDY5wONvpR0ZrnSd6Ogdb0V2eCf9FD1yrP1Bld5tcKhJ4I575Y7Mbrn67cV5Wg0E3Iq2XSRFYPpya2RJuv+nuhwnHCXcwZwLsR/wVxMpLu5/e8ef488NtmLcPVtUwvxcRmO9vL1D0iuOpMJlvf+qHQLRGPc2KhXXPTmh4m0cy1CGvDD/L8WMZEGIyKJCByMGWjF8zavbAiwdGffVR+DmqwUCR7PvzBH+EK+YPP8f63+Y8z6Z/YGqZXZsTua0HQ4nlQ61oVnY/zAGwTziaMO5gJnpa+oCheq9f/PwUEwaklhD6OLEJvDQxws/LCxTl+U4qcrn3xz+jMC44o2GiR9294ImGHEH6AdFhOcqd0hYZl1LgcDP6efk7qAVCh6vmYKvDnZOl/TUe2Ks3G54GX0/1DjZ2q1ZyrpMW51kGU2IAjjNb674dv526aIsSJC6F+ZI+THvzekTILeb8A2EwTDgKPGM1Lr/g4KxPoVkLhCuWP+Ofn+r0b0Rt1irlm2126pcrzg+cvDuCtyi9/phR9Job/GndG843u58f8qYtq2A7HFZLrer9PTI/5xGcTTOH95EH/qx7/fFyU/TCkQKFCDTPwZaAUzNk9sCrB+69nw1Ma8n+tXbv9baPTfSn0V4tdT/t7Q3+AOt0si5w2b/k3AfVnMFt3eJcoi94X4rGP5NHGRd8qUMrqgKNdRG01kSjfrb6gYmt4fNjzNR93t/ff37Et209bYIX+gztDrwyW2pJ/Nj/KfrgW4YA6TAuX7Cz+1Fb7mV+4M6zLX6C4a8QuBcwU/r8C01GbgLUHGwlcHqm/Nc8MO/97EeT4BvRd7dNfor9aPT+Z/f3NvKle/03qnrMbyvsgXbWzH7URNNpBi+ObNewde1D/2c5HkqwQBS/fSRcQaxcMf35Qb8NobXzfA1Ow8nwpxd12L8dWXIV+wNnCaEWUyR5nharG/w9Frgo+aU3ruNhEbrmqeD3MK/1wwH0RWuSohxsJXF7Jv2nPHBSd4/hai/xdWsdCVuU4Ra1EeWwZOjE/kctcwk+5odW8l5x1/u5P9SLI+UjwEHvR+j7ePrTO6RcQayceoPJiHf3Rvy8Ln56A6G1vE9m6MN4q+L1j31l+6f6xPzbCH6pYXMAx89lXiwnvUJqyfW8matpOIbV7Dv8bVreNjis7hBGDrY61BlZyl/qgYGKg1TA9VN/wS2zsTD1XpLIT9S0EH5Qd1+YPBJ7zK+Flteql97PcF1MGL4bXnEbPsHqyk8xXgrE2irA7jF9FzcIR2eNwh6ZQ/M0VDzv5kP41SriLzvVXugz+BF7IvJQqP1+PD/w4gJYmVzygL2gwJle+g4XvsMMgE8Dhp1qLwK78CEHW13ohazh7/TA5ViubqzLOKuYrEVmnTRJueIAW2pjRA++3tKSHg+ItYabQYzJI58kU26k3SEA6rG/2s2wVFfNpaj0D1esbaxQyL0erA+9Ekf/tO9JPl7w0ZzTGjb46J9euW3LOOZjE94CeKFPT/UpREQVP8CzS1hA/MIEelQTZfoxDSZI69DjQgW9Zh4uFH3NZ7RVmDqRg63UPZD5/1IPwOPQ6s62vF97xfh1Ry2fxZpkBSSD2Y5hJ224NCupjLVgZZP9tAOyxpo09a3TV3u2pH5s98OZQQWcjTCYca3wPq2YqQHWV4s3zO9MaeWUp55WzZgqX8+H7WI8gGjn8nQ5EzYGRr3QZ7qbAP8MVjJFJJwX5Z1kFbhSeluUwRAMmYOMTngUejfr964GPUjwubp9BmFg+i9inRxsRXR2pvqHPHAd/Ew2h83kZyAyn1V58hKDpF2nPSVdYV4Lfnpw+Hbg10Q7BR9r16RVO49/fqZSG6uf3X9ST/AzjoGnFcefYjRdbPanpEH2U09SGY/H2f4yRBZy26rQ/acYXJ69ziiBx8EnFZnrn95e0lU3DsEcGB9vBIkKcrCVyPGZ9u/2wH1QHO7q51DI7d2NQtKun2qS+voPaXWH70K81SxtJrIAVuMa8K7x1ZG7EMN2Rk8yIbdNuScTRjmc7sr/Sy9glwBk7S7Bgc6BUZPUjWQOtrrRD1nFX+aB1U9124VoS27z8DIGSbuO6aAkY0BMaXLdH9MK47lv187okXP5N/Ph6Q+Yu+0PJ4vN8SoiQcDBIjqtlzgEc2BYQV1J5GCrKz2RdfxVHigm5byW+m8i9lh8jWQqRtKuWzooyRgQU1qNi7n7a8id6PPO6KkJYXa5GUBN18u5tmAoIqEGytXhNUgBV9XQyYI5MJq6K2leDraSuj+T/6UeuPxsbbC1lXpFbxSSdh3UQUnGgJjS5LjkkI2f2l07o6cDQkQkCIAKQNYGDQc6B0ZNUkeS78HWdbvMP9kD2QOBHpj97G2wtf+ZBaJ9aB6F5AP3h+wOSjJKY0qT45JDNn5qd+2Mng4IEZEgACoAWRs0HOgcGDVJiZKb2qSnivdeg63jYn223xE5kT2QPdDGA5fzYbddLmaTEewN39iW2x+hX6rzy/SZEIk1A5U4dU+S0R1TmlzPyCEbP7W7dkZPB4SISBAAFYCsDRoOdA6MmqREyctmUR7+ZibW6sHWfbFLpCrTZg/8Tg/AKT/77aqMrwp49ns0mS1X2/3hfKltOpgUNxnjbjFI0NIv+9V00KtL+hkt9ld0e8mKF3XM+Iu0seiflXI9I4dM839n9HRAiIgEAVAByNrg4UDnwKhJSpc8LWoPO9eCrcu8GzfGdJ7JzNkDCA9cToftZjmbjgZ9eNh7NJ4tVtvd4fz621N/nKY3OyFgW1a5wUGKi9rTiCIkOE23ExwrWRTjxfZ0q9u9OCzHcMjU7oKDEap1Wk/7xWR1eJUGpy/253uhKBjeT1Tvmal5MDXYwtPstc/n6acz6x2+DDYwAKADQkQkCIAKQNY6jgOdA6MmKWFyszETW7VlxPtc6M6T0NBMnT3A4oHb+XjYrpfVAiFMYE1ny/X2cPryVXetnbN1XvVHO97frsOsN95cX0mKcfyZ6XI662cwXe11RFWXpMLP23E1gcPtt0kCruseoj11dHs5CN6lnVYjcOKXPiQOnf24WJ1r3X9ZDwYrBvtvu1F/BedmPs9yglO2J0eiSq5mdT2vf29wMSBxOiBERIIAqABkrZM40DkwapJSJg822nrObC2S/qak9Ebmzh5o8sAZZrBMgNUfjGbz5caZwGpqV+U9z7OGr3P4niyWDN+3FfRxUQyrb+9Xku2wv472W3w7buYjeBGRms6qe+FFki44rSdF38Q89cqC6csWVg5Hi13NIa6063ZWDBaHFwPCNMEJl8Mt4L1yHWe9yfOJCRLDtYzYd/3bC/Jt3R8HApPU1BrV9DD6sUaATdaEYJtw1xORIAAqAFlzJQc6B0ZNUsrk3mzcssHWMf5fxSkdkLmzB5o8AHvcbYClZrDaBVgviFf9bkT9bX+a91iWk07LQX9pp2PeSI7TXoSVpfNuNRn8DGfrxh1Zb5KMT04bWM2bbgQWVA2Dvd6O62kB7/0+vn/5N0o7Loe96bYWk1mc9onLopjoNcPrQp2cXyw18HUzhGmp9oi6hRo9x/tt0Qf/vVpx2w6GacMtq+fWT/slUgn5STltYH1B7umGhgKgApA14RzoHBg1SSmTS/0OCRtsLVKqydzZA+k8AGuE5Sb3kXqbbV/tcd9sYYs7g6Dz4aeGcoXlpMCZp/NqWCzeFo7OLw87XpawmvgeZNREhCWvhzXMF/Uni93rdNYb6qukZ+F5O4PtU2uugGv5fOLTclx3ixHsE9vacNSWVIlGaZfNpDdaBcs6TotaqLucnw8vKo5z4vTWbTcu50Wvk5EO3V6Rd8Nh2ijnrvUci/Wbu2N/BCGjtKHncfDa6zweaBy2YdDnQ8Fxj/sggkMwB8YHeVGzr6tq25YJtq6pf0uiWp/J/nkPwGOEO9jlXp7S0B+Wm9z3x5fvRhYX1YMtADzAzBP5O11FWvOGvdZvHDdYTVzxTNTUXFBtgu+N5usDAvtNUg3nDst7g9545cw61esg0+PZS8Wb2grfGy8b59tszQ/Sbod5v5gF7JgHt7+E0tfCHU03yvTWdd0vFyZhZfLjttr9cJA43Kr8ex6k/6N9lVbC5nVQ2nEXmPgwbINQR29/tgWBvTfmEMyB8a4rxee3YOvjX4IptGXO7AERD6jnCGEX1nhYPkYIU1iwy/3tKUJmXud2cVn1hxvCzJOKtGbNm4scjjtsEWJZsqyccdotYdWwtgne7yNX0kubqzqJYbxsNuelJvZDOaEFW+H9kewXaef1GHbMk/7cP8P64euMynraqL3t7i3VldV34uHrtFFHwq3raEoY3I2eomYeh9SWLO3mMtMWX4YtWTa8HV7uh0MwB4achXjk076c2jIzW0kf2sWrzjWzB9p64DXC0ruwYn0jNNwubvtJb97ub8rT50gLvNHAcWdYsgRkeNZwhlg1dHukSdJbrese1vuwB3EtNqs+zN0s++X2pMOk35/B/NoSvtegpCiG/gkty/5d2nUHO+bbRoHlKRxv81g3tbuq8afcvYWYHYTG5UyYrrotXoM5B3s/TLx3q1R0m45xtjn6uTJuPVK4zEU/aph7ZsD+PmxpBEJxYSWGQzAHBs01zK2qqa0cbDG7NcN1wgOwSlibwyojrOM5VoRV80Dz7QKmt/CHARxhR/z82yRQM4dasqRPb1326+pZww1pve+DpJpjyuQNexDX4Geym/2ZTHbT/8E36XK53w4G9/toetoWPz/94f8278ifP/ulHZYwiYjfMQ+TWiP1/OHrz3b8+vnlE27m8TSvzZatPgZvT+TdQOib/knhT93mw6TBDrz4/flaUr9c9ho9mVjTP2zbWyK64MohmAOjvVsEWuRgS8CpGTKlB252HxZ8A5cb3eGoBudrMKrCj7cLCIUm/o3st72aaPFMg33kuK6H/eWnCZZPblB74OFIB+TmrA8oHyW59fVBXN/Puxr0oeEPxFe3/zYVxOXPetn76cNTh9DBw6mL+ykHJe2ygQVFzBnzt+2oWLxNapXMnlkm78xj2Xc2arnNUBHMbdsft+3vT36i56/6TQ6h47VtuZ61bcFY/6xGqsAPati25N22+LVpCd08394WRMLothpY6udgi8WNGSS1By4neJZwDue5w3cv7HSX34fVxuAvtwv4Oi0W374az+oZOcQ3/heO+2nR10dy+VWXs1kFdg/8V7xvkpoawrkQRTH9/JjiQH1/9ufwXwEbHs4TmM/6b7gcTO73smQ6agJtzsNKu6kFxe9HcEEo/CliPkBg6PmBcPvTmwVue5iVrK0aXscT5N8Mt3UxTRvqgNWb4tuw9rglvPgkFO+glO1gTEr8YIdtG+5Di1+bNrhlXQ7BHBithUs0yMGWhFczZhwPmEkstdUdjsOCF+YcTnYeII4EFMv328UJVqDWjbJvh8UAu5b1neNeHTb/Ve25WjRUs1mNar42bir0SGpqcodzIdRjio0LpoM5NFFPul174wl0+WS1/7OFZUTIVCUSwRbA3r8dwXU7zD51HrScbFR7zw+sJjcsQN6P82L4ckTIZfjxMUSX4bYqkr93bacPuXfVRclpeA40Cq8ikVqao/xG+YyWmoUreTkEc2D4nBClPAdbUdycSRg9UO7EWszUJFZRTmIlXyb0Gee7Xah1wvHbjp9yJ9PIt3j4ZPZxwPn1k96kcRPSDZ40nMIrmse4Ex2enJ6UV9KH9uVDha/Hvpc1VUh1LUbwouuf4fbwByZOTjGCLeAuj+BypxcPEBCtPk8hndXiJuJHnaD1ugp5WvYHzzNrS4hzf4WAela5zosVjv7Zhjm19+3mZ+Z7hZtuXj/H/DQV2jBG/Y36ZvtNAtQQcmBzYBg9Sa852Erq/kyO9sAVDmxQ64R9WCccTeBM9/2RZ/4FrYBeEXG7uO2mxdRs34JAa9QbzOsvmfGSIzju1+20eNmEdDls5uP+z2Cy2B75t/RiJH2y63ZYlS80rC1FnfvDCfT+cHtSy4i3P6v7dRgp2AKV5ca52oLiZTPtfYu0oMkc/3R37dCIcjrTWVk+Fq2/v8+Tfus2n7qDln8oJI8V8GjaSO5F8nAPasPWU7VVcchv1EciyVNNOQRzYHw0PmZBDrZiejtztfWADbHUZvfpXK0T8gcFbUW1ro+7Xah4a7K9QKD1Q3hnM47jrr7KB/P99bRT5zn0htPV92PgW9taa4CUVGvxllQv94HFwsP1VL6BsTfcnctlxHLP1urPf/9b/i/CMuJTFCwoFjMIgW/7+aCY+l6rfW31LaYOeFhf1R6xYcN0Jm2S6DAUPbHy6ZhPKUKI+Amqdf65aN2Eq8GtJzSnGPwb1WThUCgyVFwcgjkwmuyOnpeDreguz4ReD6iFwtUCZrF+dYj1NBN7uzjB428/sB2eEk8iOVSUpdbhfvoTrq1ZTzvfUkhJb61ePl6Pa9idBe9Pmrq72q4Bk3FkaZfV8Kf3M1p5ng1VRnw40PTFvvoHCLd+fkaNx6mStz9ti2nS+d9TsambGDWdbtPWyf9gBM0T5GH7je7tHN5vVVuXcQjmwGgtXKJBDrYkvJoxKR5Q293X1V4stVD4S2exmixH3C6uu+VYhRRHOFCz35+bBcUmtOa87xzgW1iEncBcFiwZrvfnqzrbajD3Tc40U2Fzv0v6jgJB4RpWOKupNwi5YNv8cL75+i7G74CvpSRp1ZuAJqvVtHH26ZUBdu0f3nM+f67OGlvslo2b5QMe7Lsti6XQNMtna2ol5/6m9ilqMt2mLbHTFEjD1uf0mWAPcQjmwPD5IEp5DraiuDmTfPbA5biH1xOOhwVsd4d352z3nXyg8LN+RMn32wWcaQV7kcbL5xatE+xXwh6rbuibOMyx+eo8DHhYc717WYO9waxR0ce83MZwtLw2SfJBXE8wGqbDAoLCOQSFteogF6bkRnPYshX+01paGQzDm4AqRdVjot/fobjHvjDmtIXXFpnnAczrpusmhh1ZdZn2E+6cup/7Mm+uqTuoOZ1u09YSv1mvWfqn3NbD9hNQPV9MLZBwCObAqNubLP0abMEfbfkneyCGB5aL2XQ8GsCG55+iPxxNpvNFDNo0HD+faJcw2VSUgdB7DQg/+z/w5N3yveDTZ82xXMzBsePhoF/AiqRy7Xg6m39GWZSzXXAw2SfcgPyPZjuYajRMRsN+UUoew1n/TpUqA14aPgCHQVQeNlzw0lYr1Um9n8G7jxblkwWfhK5WA8TdtFwqV3FlHWY+/BnOa/bDo4q1T4TkrOgHIhBIbZMF7LpL8rPoJaEFUniDqMxPm2GLVjAZoqu2rsghmAOjtXCJBtOXdyNWoVeZlf/LHhDwQLmcVU5jVVMt8EShAEvXIH+aBJ23iyEsjW3PTYVV3mk9gaXFzfGLj67X03G/26yWP1N4szYchqEOzYcDx+BZzdtn4NeS614vYX7heW2B+9Rotm16ux4PIHw2ga15vf5YTbwhR8P9uFmM4dzVGew6s3ANidv1DBTws1a3zsUMfiZjiD3h56eKPjZQeDxerg2Nq6zLDt7dOFzsmnngkQbYYddcdi2+evMGNsATp9P1oaGb7pvBcGc0LYcNNUwh8rqBxzeRVfmrXfsbflAMYv9zv2Ka0+sMmocEHdC0/P4bZWq1vB4mLRu0qM4hmAOjhWS5qq8zWznYkvP0P41cLg6puZoeTBBAJHBKdRtM0wvvt4uz+gqHNakT4huw+rqH7UpwxhQEVsfdblsGDuMxTF7BPve+mrparNY/++P5isD75IGSB6npE8Zb/pvZ16tSv17NZ+MRSIewcAzCd/B86Vs73Mf7abuEzfPwPCWsNlZNwD8q7pzNxuM+bKuHeb3xRIVW5byRCqx2h6P62e1+IL2pIjDlSKgLAxPCPXixk2EvQ9DB1NdJhzkciXUyjZ7X5fKZfklddai4+Ip8mMAxWardYhTQqZb4Nusf7IfYiVTR1swGrJEt7knxvf1G8dCchzw4TSgcgjkwmrRFz8vBVnSX/0OE1yPseFcPFcJurPkKO3Hx9zmodruo4qwvs1W3qwpKYLZKBVUQmKjJGLW+Bj+wux3ikxksMUHgoCZkbGAALqtx0B0I6oY/sAiy/zLdhkAHG87H4+FHxTPlqqaOC8egfrnaQsjzIh2B+LEKnMcFO7zAN7BqWr6oCeJO5Zzr9wjO8dbtAnEaLFKWu8Vms+lIPa1wwMU559WwmL/XLZzZjetxW50du9g0TWe9m3hZwIt8HnOWWAuwj4PJd5e88zN+vva3jGhoqO0MXZW1olz04gxbDt23ggOlGYNDMAdGs7rIuTnYiuzwf4GuirH0ZiRYHEp2k++Ks6vbBawbqoWj1e6sZqhgeqVa34J4CmZi1FxMGVIVcIVPsNil9u1sy8mY81XNWV326tCG4Wy9d77HwVC+W1LJAzNGzTxApeJBFU1VNuxA5krNH4HqEYiHqBBsGI7Hkx+1sWq727/HhcHdcr/CQxXwcGW1ADmZrdabzRq2Vg1glxs8YoFYjfzorXKCrzcYDOBAfQiKsEP3Cod2TLe14Hc3tlbCtO660lZu+bf53sR90y8GuHjPiwUV1sUGU02iTppo6zKQsMWPuZ/669BqfBy2NDjdSga1BOeA5sAI8g9X4xxscXky46in9RdqmsE8+fYvukTFISoMgZmpcp0K1rRgh9AQdnWrmSk1PwXxCCygqUmean0L4imYiVFzMZjpnnLxbACzT0s4jLTuYNQtCVYinz8q4tM/Sm31U25vUuGT2QLWH8Aee7XUpn6U/jKWKqOpyoaZqq0aA9YJ0J+iUJKe1X0pCFqqdwiUW7yqo0He21QnRgxgDrBcFfwYdjVIu59ed1GpXVVqZ9ji2666Gv+93MBlzB/tn9O68JjDBl43WauLTc6GI3iYD1vbV+8yHobNWPoIPpdf+ymW9ArTG5+FSZSsxLbjNAxbBgME97ZxCObAYPBSOEQOtsJ9+I8j3MqH9WGSoYyx/vLtWGpS531aCtb5YKGvmpcqQyn4XG7DVpuwl8sZuAYOt9pdUMEUDKZy4gh4yrmjMhrSgVC1sqhiGzjxdazit+pBznKp8Uexlj9Ky/Onio/0/71nfhXx6SblpnEV/T2fSiy3OMHRsvNxGbrM1bkRLb+7OO6S+hUCcOKWGl8QYe3hKFP/b9wdVgXX8ESnOvQCHm6EdVcIBGvtXqVdqzlDtTHuHRpCMDhpH474QoUp8Frq/mSheCGoLg/bCJrWnY3vj/Ost2iayXwXivq8S7ZR/lLsUQpZK00TcIIBcrSvw5bLV6OGLYdM2ByCOTCYzAmDycFWmP/+3dbqucLqfIJh+SBZyy/iDjsOpn8uEONAhKOCJQhAVDQFUYqanFKLfO/TUmrTNSz0OfNSl/1yUvTGi93hx4ZOZdikdmZXK2/qlIYKHHDLeS8zcQSfYSVO/5RhkPqvfiIAzIiVEz3lIVqT+Q+8LLL6UVqePxyOvp9hIUyF03D8wQYfTlPvkuB+mBWcQzxZvQdzBabVI6V2JpVLjgt4AlbFa8Mq8tr/nKrugumrOWzPmiwbl2YNEURccBTWGI6NNzm1663alg8MEP4WgyHEpuP1bFGrQU3OqqXI26qYHKkYb+1gozwX1Buy7+O5iL9Df7PwqRIpl5s/pP5GfTdTLjhk2dwgY/R3l4iU5mBLxK1/LyhMGcBXfDnbUe15/7Wm6l3c1XQRBDIQ2MBaGUQ8MP0zgA+QBSER7LYuH2GD6OVl1a5uNpRBmKMOGdAPuM1GA7Vfu1etG/5AlGJCJxUxqZ1M8FPGXVWAVIVGTd/kdZqP6Tu8T3r5MyrgLCjZxxDsylg5yVTOFn0UBQX4u2QZsMA0GsS1ENOC+yGsVKdXkF3yQRbMFkKECod6/ehnDuDxWNjlBbN4B7UE+rGHFdxdvR0cjpq9qVBcbbeD8Eo9VdmDCA66FLxx1n9wXNajn+k+WPsc5rX0z3Y45NpifugvLKyBj3I9FdHDvJPgc3ZffNYTczD+N+qLPKdosXGyuDI4BHNgcNkThJODrSD3/TuNb+f9ptqQBbMb24N52P6XOKD8gtyr5/tgO3oZVNld3NV0EUQ+EC/BSt+3+2Q54wXbmyBSMk8JltNdEEpBcKYOGVio9T31QNsUHuyHEEqjxbhdKI4LvJNHLZ31qoc/n8cYcHdTuX2qDDaqRwDtTviXmLTZ7Co0BYeX04bmkAZ4zFIt9jE+p/jR5uthM4enF0fzzQ5WaquwCaI82NxfLsxCoA1dCXOIKs4ufzZq4MAxXRPVtWrqEaIrWG+F8OrTQ4+78Xbcm9Q3zH9U87Hg9TnEozkK4mN9bMF9nmhy61iglmKxdmDqyYU9X9gv/S+FYUXNv1FhmPDkxKdTSkKB2/y99ZlLxujPfGIlOdgSc+3fAQyTGdVE1hDeqQfbdn6BVWpXVTlf9Tx1oFBzVXCSevl4XxlUee0w8xfwoB2s9ZVfxOWMF2xvgmDLPiX4nAyBt+7MqnMTnC02MW4XdY7Xo2PhzA25sOvxULNF9owHiDvVaquaHYTt9Oq/2o8qKB8QMPOGmEMavB2Fr3A77eDsBXgF92L78+y3h5pX1PvwtqvlYjqZjAbwagM9LalmKEF1r4AVwuFkCp0/n/SLyerrDrYxbBa672YfTzxFaHbO17rMe3NnZCGA3CqH/vzb3xRuA6acg3scBhPyJ5hx9Mk0UCJ4SGj9l/yTze3zd7P2bZAtOARzYCDlylbLwZasf38r+r3ckVXueodVlk5PZN3h2748Q129/0c9MKd2VZVTE21OHXieuAnzFypgUOFZuV98p84u+LrEVG38KWAT/IcJvxi3i2YOfZqsekQUpmOW6pD2WpghNzrLxx7VVrX6jxydi1w9ZaD23sGP2gA2qrZsTdQE5GQMjxOUzxHo6K/ch/c8bQM6XM1L1lHhIwDBRFc5H6feGaRiMIgp1SgxZ3sZ117MyUWHeTFckeZzVkM3HmLbvAWTW3J7outee0vvBJ97e6OqPi6r77fGMrHM9UIMuvmXPJTuWO0NDIVpas8hmAOjSVv0vBxsRXd5pwnh0cK1el2e3v7z8n3TGeEw6bSvTiJXB4WrPTPlGeoQFH2dbnjT/0Qpt06X35pqbegAe2/Mt+ZbE+djdTyAOpHp9RyGt4oxbhc+DjUBtTa7uNUmI/VcH9bON3uQH32SPsLYCK0MldR/ekGvOplM7XgrT/ZSG+DU0wvqxzyDqcIn+FFPMsBP9Y5I9dTmeFJulSsfsjwcf6pnGkLG93E56C8PEIKpeb3q1Hq1gUuth47Gzw1cp2W/33TC/Efjy4LNoLlrtoMhyxN2h77c0tEXyzYNIeSX6sFFB7kw4rO2Odf2OpeC/BvlQtVy5A5hbbFts6bnLSlj9BtJjI852Irh5e5zqCCrPHgRHi3c7CVXnWi+MDubq2fKBhBdqZPIP+6Z+UACx4Sro5rUk2nl1NWkQqG85kZt/BmVB18em78W6xJi3C5acECYWT3tpyZ7wJflyQhmd3ddd1j6Xs5s6cmlKlqqTvEq31IIcVIVJZVPepaRURUmwf/2hAr14Gf5o8Kq8se+sdmEX9ULeHTspKejqmVUdeTG+MM5oi289cUJl9Vw8DpxdVdL2NteNcTU3i41mXhQJ8y3WtD6MgV0GPc37qTXF5HNRbep3DNzzYxl7iJu9HMXe3HOFxtHrbr6C5BbxDNs33EFj5DnEMyB8W5yks852Eri9s6Q6iCrV6ggq2OrhXDEUnlWUhkZwfeWe1oSxo3w9XfYqSfHAAZegKeOalLTDuTvKzgGAV4Qgw2zKoUxbhdEDjW/p57Pq+LPp5e/RJBq3smeH6/Cp/Lg1mqGqTr7VG1yUstsKoRSD3bCTz1UKmeXIFgy81b2rApMf36po9a+qwcEyscyv20wJHrLJb+uId5620p1GFX1ysnE8niU/hBmT8ebL059Qf6+uek8LZZYpBfY1w+7Yv2aEeXTdBqFxpCkiCgLhs4x+t+ubMP2FVcIFkg4kDkwXu1N9CkHW4kcn5i2q0GWOoxys5rBi1jKI5bKiQHKnEt5qCU8GahWGUfwPpfag/lkz6s1Q3jzsTq8/cPerE/QMW4XHBx2/lC5vyiGcHb8dArPFcBuJoil1Lt4VBilQqjyDDAVQKmZpvKxvWqGqYqbdCTLIemTS5/56q2G1fml6th4OAcMMy/LKe2y6g/X9QXJqbOOpA62h7NRwXfwEiTvHi7vY3vXBcde+etoLBcWPPvnLTVevGWIfpxvROGbwCVn0ziHbU273FY6DsEcGDVj0yVzsJXO9ymYuxlk3cr9RBAaVa9ZWe0OL8d9ox1VhVgzjQPfu0Hnd1va6ik2dVjA+vA2iWHrfE3EuF2QOcppqvLpzfJ0A3XYWBlRDUYQbME/2AwFBx7A3OcQdsat1eEM9cDim91kSd9AqzIzaQTTlT04In7R9i3nzNJOi2Js30dz/3jgwB0OhIBtZOqFAlv3sHpjNeZAKtgrP/UGbQbw43WV4KDR+zDmhFqCd1FLHu7FPGzNwJA7Qp5DMAeGsTTpNQdbSd0fjxzOvYRjsuAEpg4tF9ozMsvNLQHHhJdvxINt/eXUhnrzNXmR8LVDbJQ1W+0+fzm+tmn6FON2geRQpxwcqgPH1GOX5cObME1VPr1Znu2pDhtrsOGmdoJvYL0Rjh2tHkqAIzDW8EzCl3lHpKQGNjfrVs26LeGR04ESDQueEGGRT5bnlFaJ3U+KRRX+fP2Cv+9nvfFyCwfyw2Fsm6Yj6S+4CAjeUh1+sMGpv3BdLZwT9TWJgmdefXKT4EEKLKtyDbonLA9dNACzCOb/XW1SGiEvB1sRnJySAuKQVfV2vg9bhaOLU9NPcFaROo2gXPX5trXmuzhAUnt01FsZmc+nuB7hVUSwMWsUGGVp/TFuFy5HdQbrZg3HjU2GcHJUeSBnuZlKHyGl0k0/ap1Q/1QbrqodV9XB9+WGq+12q57Am0/hSKrqWQP9xMLLjKQr6Xt/VqXq1Ag49goO5F9XD/mVIaF6nlCHd5emYBCDXKtDk1YDaEheYTlRLSCOfO+lgQMhRrDueN4tGiKuG/6Vzbth8KOJ9+mQNFfbYD466xzzKHnBDVQfDJZ7DTXPFqgG2XLPT3L8nnFgNBgdPysHW/F9HoUR9nHDDqPBj4oXtjyraYG6S0VTdbw6xFhwBn3AfhEVCwES//kU5UsAwWt99d6br6c5tHJGjNvFT/nKm/JEjNGwUCeL6m3q8GjfcDSdzmEJUD0ZUP58931Vp/xf72EvH/2rXulYPUpY3w5fxWu9Qh0DWnHCGbIDWIL8UU97fv3RzyVWIZ3aXK9kwwWeQoTzsJZqN1j5nGErb2MqC/XIYVIsD5gDxI/qAC4V5pQR13B5MHOx91F1S8YYAednjgbO/jBcS1trG/8N0ceIh5vKTdpYD74lZnY9+a2A4aPQsJWLDzkEc2Aw+D4cIgdb4T7sFkIZiIwKeGMLPF7I/nI5gq36RT/qHTLBp0qoxdAqFoJ9xt8jhlZKdSCoVlnhCFf2v/XFbhd3eMty9SwhHPGkjpYq1PRVMRipXUxqic98h7fyBqlyFaGpk9jhDLSlOrx/9FO9IbIPgdcYzl6fV1Nj9ehLP5dYhXSwfskwZ4UTL9Yj12Wv75vZqiQeF31zbsRpPe6NqoBrOsMZYGqdJqEnQZzjLyVuB9HG5Sr6eWJDwfNihYbtdm6GE/eVQzAHBrddJLwcbJHc1sFG5aTMuJyUgdfqMAYiZFur+adqm9i+5fN776Q6yhrA8aF7xlhIPS+gznBVgeB6L+Y17tuF3ezWKwbwUx54/wPzheQnC97dzfO5NLs8ekMd4f5+uES079smY7h7pMbRh8MgkNNNcODpYKn3uZ9WEHCtZ+MaEi4JJ0Gsg3x5n46iBbnapMUEZ1t4LcHT0T+I+/h4xIf6bbKFhu1+2kZEm7ocgjkw2mgWq5uDLTHXxgKuoiw4kqCcyorF+o1HR1nq6b3QIAvWWfbLafn8FuOMkzr0sjz/qBipmazAQPCbK6oyptuFek+les80TF0N1dHoP/qsg3KjFBOH3xh8DVeSerVSuc0eIi9zoCo80EDftocX81rTlfZaTv90HD4eLd4afVbn0Ju5kCNMBtoPeAmXWbEK+utqHXMXVWlXtAMgJA9iaOwhwRNCxfZsnfTBcI0GBWVy/J5xYAQZwdU4B1tcnoyPA8/Kwd53WDCcLruxK+txO26fq3xBf22DN+9neG3woDecrbnmsuBFgeWhlz/FcDJXDy3G6rPA20X5sCU8BwDTWEN4KZ8Osd7kB3JIuMInCSIve6BqeRyaOm49TuDlk0Z3x7w82QDeGr3ADq/LatBflPHWvn89qdPmceuQNY3Xedg5p6d+zPMYQPgdO/lXM5KWHISfkNGKWC5wARlCw/aK2WbYygumModgDgyjJ+k1B1tJ3U8jtzNH6lm5oD9pafwNrS779WzU641mxJOoXiDvp+1y0u+N5hvEq3BeWjZ9UId4qacf1UOLcH48vIo5NAxsYvmaR71d3MARMK3X66tHCWGp81uESOX4KjyssI0k/SYlddZaeXIWHPRPPtcBobqNNARcrUqhY6zbspihF7zhvT8Qb52KMjC4bkb9JbqppoZzTtHRXU2tSV5H07i/FZfCTOcZCULXGXJJl4te8uQHqWBLbvqP4/eMA4Ord4NwcrAV5L7IjXWUBc/KMazPMWm/qLfX/Kh3MXNERtfDGqILmM06YOcFPphRzmLN4SR6mMYawwOZcEzqh5oRslvfLmBpeAWzerDnvVDPk8LDm94IsTWHvN1USbUTSyFAnqi4i7v3qNK8Tts/N13d120OHoX5rZ+JCUCuq8Fo2zL6gehuHjDG58OAxl63uBWOJip1i1hzNnNWOC+Y3JN9QC01bMX2mXEI5sDwdluMCjnYiuHlYI5yimP40y+f52t5Ew4m/wSgAqMhbBVbfjkN+1PbhvzLbjHu9caLHXneH/Ziq2UpOPZSvetHvQUxaYj1tLHF7QJm9eC8S3i0EE5onagnI7G93YLjKUw2xSCpetxyPlVBc/UynrfVU6IFDNKamV9e1QMHj+LPeb8PlzC/ZbdsnebFrOUbjSHcWtAnujeRN25thtih3expZK7kge5NEiRPfhALtgZtJ1KbLG/K4/g948Bo0hY9Lwdb0V3eihA2Lq3K0zVhLkvqF6KVoLLy/bSB8xiLCbwksH3jhhblYUP9yWpP+OO62nJdvk0RNjOpCGufYKGwwahaFu52cd6VYRbsyZoSlodxHDVR8kleSfadTuWmNQikQ87+4JX2dOW99xbtbIop8vd2NgMYtX/LPJ943w5GLY/2Dgq3jkXcFbf59Ok3wZTYrE2zZrlX3wCf1LAVE80hmAOjua8i5+ZgK7LD0XSwC2oOu9/hTNLwJ/rQpP6Kt2qdj2c7FdBd98sxRBfrw9uX1FclcMK4el11ucFHnSyuNlZ/eW3MV6wYhb7bxXU3hyNa4YCs0XxL3YTn44hh5xuHlCSGdxBISdtN3nzwgMVE1N6tDTzFWP6cVwN7HsRxMti8A37/fFvQt8pfB4vv4Mylw5a20ejFAolmOaJH1ksN22nLoL7Z9IZcDsEcGA3S4mflYCu+zz2MV3VwZ798xpD6xethIBbfDivQFbLO90Z8Wk/7xWRlT89+K375WG2gXsyq05pGYW/Ge0GO8OHL7eK8nqhj04vxMnDm8gtHBAsbKeQl2QPH4M1P8KIE5BwSiJWS1nRgOYRb/s1UL1uYznD+Vnm+PEx1zfotj3UICLfu40mUpT09Wq5RNskvNo2DUyhTbq+5Eiw1bMXe18MhmANDqLfbweZgq52/JGvrZ8/UeVk8G1P4xN6PEBfBC3Qp63yNKm775ag3XHzHsxNYcN4B7NiZzlabWEcDNIomZzbfLg6LEUxn9YbzHWH11NHSzOFUi5kRUZI6gmwOR/piD04TknZvXrO6L4vl9yjm+r5h6rToD+H9ifBzXRSr743f+7R9C4sQd5v8od9mPtuKbJcQfTzQkXI2E5ROCUeG0LB9iO3q5xDMgcHh/GCMHGwFu5AB4HJQS4bFeM54cCeDrArivJ0NYD4rcOKlJgcWzQa9yfrY9A3SMIGl9mBFuCfXBLIn328X9z3sw1PTWSuePW9K8DsHuxHtARNIer4S4Pvhc0LSdp+2IcFBWN9Osro3rajB+xNHGzXyr3P8y6mrXlJ0Tb9e/j7c9PmGpJ9t6ay6+tu0rXEetG0RUl/uMHalSmjYPjaLEJu/tOUQzIHxRWK8ohxsxfN1A9P9VB3cOV3uTrSbYwMoXxbMP8GGqvmW7/572c76xXTzAlhtcYf3uegJrLmawOryFqzWDq7dLu7HhYqz+tMNx3RWTUmNo5abNJlQEryQcz2Hc2DVNHHTnkchaZPPLyG+TL9ETOXm+Ia+Os564x3cGC7TYcsnE+FU+U0DoD9r/z7H5m8SUGNcfQEFIPibNs82+tuRaqxF38UoNGwfYiEih2AODFJfcjfKwRa3R5F4t+NmMS5gR3QXJ7OUDdX8E25DFc7m227e78+25cYae4YlBFhqi/uifIjwl09gfXSDvl2cV2rdsBhXy0Mfa9MKOnhL6oCk8p2aw1755qj6ji4ZaR9WEXWHnoaf9mrbzfENXb+f9tT25eNwUtffUPE96zz5Et29V659PhZSu6VrJCZ567cMIk3DFtdPXm8Bga8qu0NMZtjC6BrjLWxVk0MwB0Yr0VKVc7Al5dmPuOWaYQ+OzCI/ePYRmqvgspn2Ye7lZf4pDPt+gAmdyWqnHiJUh7n3+uaUhr81wKr76wdC1ynsg+8N7TFK9WKWdAdvSd2RpLZDTso3bG6ro3dlpH1cRdQ9vOvPmuYzXzbHu4PhvhsX8+NjU7SdBTqN2s6HleTn/sYVIZXjsZ2Ddh7RnMek9auW2pgoM2xh5lRqqZVDMAdGGyeL1c3BlphrXWB1LPhQPWbYtLDhVk+Tc9lOiwHPnu3KgOtpA4fCq7PQ1Uv9FqtdR04ajebe8/qnXDjcicaVHbwldU5StTdSvW7zp+U0EW6wTD+vIlYAsFPejZhufe8X9E29wec4HZoT5nFyHo/9YEL4i+k6EF0LexW/Hr1+5v+0nfFjfkQUOx60ZJT6jRJ7ezaHYA6Mj/0VsyAHW1G8Xb19hfGdyjKqr9tZ0Z+xPBynX/oMx0fBceiD2eZfi7B0B52WQzjY4UduQssOhA7ekjooSblLbZT8YXknlHV+lfi+iljVuU4H76HVZPGG0/jxsuoPZw2hWmPlZ+a2aJxMe1ZoSt1Gi6ZsmbzxtycHOChlHxB8Uyi7QUzsN0oKmAOXA+Otl9J8zMGWsN9tmBX6sj9hnQ9Y6BsUs23TMgeeWh83CS9XKV+XA9vSeuONyCQCXlOymqflAFYOR+uz2ENEddM6eEvqoCTjsZ8HvJtBv+281Xm6BqDp6p5o2lTrOJi+/JKt0YcFwBt8itYzJ/dV25MjQPR9PG+SLpJ3rV6/LYJdgcoGQC/Cr8XLR+4PYr9RUkexcgjmwODuCBJeDrZIbsM0Um9oHvRG8+B3KmPIAuuc1xAVQVRA/DFHesP7/NThktVrgy/rUW+mHqX6F3/OK5jRsoFmjNtFDI6WPdlBScYCIw1eRameU4GTehn+JPCuImr2df0YiFOvDfN++DNuu6X8Omu/U/4+jrf2tpPaMGQ6u/Xqq2nY/nqSXRQ1w7a9ME+L1jG8B88UcwjmwDB6kl5zsCXgfnhDM5yjBIuGXZ/NKm2/H+b9wQJ1jPu7r66n3XoxGeoY63B+RlbwzpH+ou23wjv8L/1828KbpH/UjJb5iXG7iMFh7EFeOyjJKH+VdjuqX9jRIvCMk/f3Ihoy5wprieZ34942EDoWRX/ZJj4D9tOo/RN5k6kjWypjtpBCrnDFzkd3ZQufoPo6bF16ck7rCB7JxCGYAwMpV7ZaDrZY/QsHOsDLhIfTFd8RoKz6HLDrZmLnX5zCjxmX43Y1g1OMYK1wuXFfCKwirQi7lD7KS1lwmsNTh8O3w0pj3C5icLR0bAclGQsapN3PW3hidjjfUE+8O7SY1Tj059VfJp9O2DJC3et9Mlr0R9vnHzZuFTdn15+3fTxjOnFhZHLuwuc/bOYyuhtQZY/ZktuPIPVyxIbfswavfc/iwPjOEKk0B1tcjlZbQIq+etKQC1Ec57IaFrN9i7v2VQVZakPWeL7afXil0HU97C9/jw84nXxfj+AYrZmZtHhCx7hdxOB4WoRKdVCS0f1RWhVxkVYVF212et8XhXp0cTdo8etnxC8Hl8O0N2v1aCI8B7kx7ZHXWbRo6yj72p5jiygY6ZtP1YQn0T4O2096sPlSx4NxCObAwPpBtF4OtsLdW64aFqMF+U/icAkEBNi+jV7oM+dxq9f9fgqySgnwiHqxaPUlQFDezSZwZDfsht80fnfGuF3E4Gjp+Q5KMhZ8l3bezAbFhxdKGQT32m+3uHcaTq7EzeFbeIPzbTMcrNvMVl0mbfcuTaOtJC5EmWRfDv0yEGSP2ZKb2ZJ6OeL337MX1338wIHxETxmQQ62grwNfwePi+H0d2zOqll6XvYHmIU+mMpawtFg6myw7YeZrBqq+nP7/bn2WvFfnDxMej/9+cf5vBi3ixgcLXuwg5KMBX5p9+NqAouK1QsPTLNv1/bv4FsX/TaTYTXyQ6F+z86LYtrm921v1i5rSF+T8fZtDX0nlH3V6StsGQb74L6US20015T+YftF27ciqZcjcgjmwPhme7SyHGwRXX1Tm+DVU0wfv2GJwPLNLqvBYOX5K7x8zclArReu9yfU38+XZdF2I4m8qTEY7ht48HD49b2/MW4XMThaurODkowFSGnlS9gna9Rc7ar9SaDL3sjze2j0vl9P1Tt17rtRf/VykMR7xZfP90XL7fiTWM8kngu8FS8moT5Mor2ASPiUCeSwRTnlpZLUxn4OwRwYL8am+pCDrfaev+xhd9bg901nlZb6tlRd4Z2N8GKT/njR6qWNcNNv+4hUe8d3sMVlCfvhx74/y2PcLmJwtOyADkoyFrSQdtvDvvmxP+Bq/2qcS++yab2TSltwNm8wvMD0lrtL0Nj5flVrl+95Xz7HO29rLbmQKLVI5nhO7CR2zdRi2DravmZIvRyRQzAHxlfjYxXmYKuVp2HZcPTrdmfVLNxNivmHP9PV6+PgtTrlXFbLP7evyyLe3441a1Inj/Oi9zNBfNPFuF3E4Gjp8A5KMha0lHY/LEe9Se0wD4PzvBKOsxzBIuJlNG4T/Tz5zuVKYvl5Oxw07xV81n6mVsX2+cGbuo/az9d5QRsrDAVnn/aSkVzdGunD6lsO27q072kp4RyCOTC+Wx+pNAdbSEffT5s5LBsuf8uZDg1mwQHUk6Y5mMt+PR8VvdFsTXqS8jAp/sFJrdt22it+xrhviBi3ixgcDYPqW1YHJRm5BGn3PbxiYfrxFQvt38Cnj46nTm6di2eYf5oVc+xfSOdRm8mt22BjfCZ7PfUbny1hIRV7z/K7OumojjBs3yU2f772m/NDczkEc2CE2sHSPgdbfjfej5vZsD9Z7Wl/gvoJYtS4bwaD9ZsBcHz2EpYMB5PlFrcvq0HodiC7t7WBMn2WOhx/WAw3qM1sIDfG7SIGR0vPd1CSsYAo7babFR8OAMYeH28UPC49vd2TOrl1rL/n5rbuo5+EW5klSKvlS+Lax/1B8QUCV7Rc4OpRaglvpbKSpPaZGwLisDXNP1+lHtjkEMyB8dnyiCU52PrqbIizpgO1PQv7tfoVLV3haf56LA8cvgqPUap3CQXN1N1WBWYVLZ3dEszqzIwJnHDR4smIGLeLGBwt3dlBScaCAGnlq602b3+3PB7o4+ONhHF171UfW0U/pv3jcei/qNiNBsgVwvNghp9Gqs+gPbn5U/dBi9+olvRtD71oCW+rL4lPl1oATyJg2HqQhcJRDsEcGB7r4xTnYOuTn2HdcDboT9dH/G3pE1TqfNjTYU/kuR7UGffwGOXmGBpAXhe9BXbtIrULuPhhm9ZwuRiMmpZjP3PEuF3E4PhsYWNJByUZnWHS7vt58XZ0ymlooJHXbf2NgKc20c+TYD18vTmdpn3c5q37vEVk8zKD9iRnTx3auhCvYNbu9xUP/Faz9fTmW3vfx7Bh+w39NW7/VrNVGYdgDoxWoqUq52Dr8bidj7vNajabjEd99fPTL2Dj80+vVwzG48lstlhtdvvj+fp6Y5PqEW7c21I/rVS9sbE/WdDXDOvaLvNiGRqu1fG6n77vZ3Bq6eFtkhCjO8btIgYHxtZanQ5KMurCpZ3g9Qvz5ylXbQ9+uMG5pLWf+7z/8rlW9C05n76Vwm/lCnWf2rXYJ7+XPeDdmjDd2CRzQvgtOlZt+1dQ2qaoRPiw/UQzlJlW5BDMgfHJ7Kj5/3SwpWZ5JoNeMRxDQLXbHY6n61W9krYPm5jO1+v1dDwedzsIxBaz6XjY7/30+qPJDEIviLyi9hKd7DwrFpfqjY2FCrNQN2IEHZyXjrupI7B+RZX7btobb6/7cd9OEuJ1x7hdxODAW1zW7KAkYwGLtOtmZE/xHT13qxuOr9fZ+1N+h/57ztf2ulA90Pj6c50XX898M7Uvw7lJeq+rkbcKR4Wr2GFbhwmHPj+G0PyQJWYZthatnhB6EzWHYA6MuqnJ0v9qsHXdL6rFtMPFxh+3/XLch+cNPwdS9+vpsIPQCyKvn95gPFtC3PVsn6wTPxIfR8V0Pi7UoiFbmKXIsDf0j8J+WcF9N+lNdrfHdjAi7RaOcbuIwdGy2zooyVjAJe26GfdmMCZuPYOMux7dZ+9uk9HnO88n1OvrBFlZ7TrvY/Zu3acj9Mz0FB+YfVKKyRc7bOsi9LDdu1Fcw+od13yWwxd6EzWHYA4M48Ck138x2Lpup0XxuhnrflxP+8PFtsVc6v1y3K0h7ur3qrBrf2p/q5Ts+vN+ClNxo3n43qx3lbfFPzWrpSKt6e7+uK8L6p9/MW4XMTjeR4LncwclGcWM0m5biLdWLadOBs8FSCPp8Vi3eUpQNzs0LfFdJgPMRNsK/Rqb+3DzlCmYanQLB5/Q/u83adJnmgo+1iz0Bm2O3zMOjLeOSvPxnwu2jsthMdvV46LrbjEcTDeULRNVn1Vh13TU/ymGkzm8qfmC/otRpNNh1XA27PV7/WXdTDaqVbFIax+bJQggE2mpUGtCHiIxbhcxOBAOq1fpoCQjj1fabVP0Wp01t2mOzU79hRGIvja/w/mAeg3irn54xFfGa78pOvzahFJ4qD81QAH41CbO44hSR4Naq3iHrYWFhNBzlByCOTDqpiZL/1vBFrxcZbiqfWXeTzChNVruuYKH2/mwXc3GA3grsVpjjD/Zdd7Bm4TUGxvXg5HM3XHXn4qEcMl+A74Q20hLTTpMW8x6vmPGuF3E4Hi3y/O5g5KMYm5p/QPcWtDnrt2KD0/x3mfDDyVGuHsdNK5sw2sQEQP20LAK6TKonJPYfqoXvsnm5SPbhziPI+6bY2g2KwRntoQeIeD4PePA4OuCAKR/Kdjawvv7njcgtWtrMNs8MwK86DR9meyCLfX7o/SzjOe9etnOcFYeCXYctn9Rm2NDU8ZpFOdPxCbuyHm3bbV6qGi3/Wnr78C63Bi3ixgcdZsQ6Q5KMqqZpZV7go6zHvIthc7ueCMLhlrR9pSCU9H8t+L++T6fJ/x76oiOtjZyBzPURF0Ku4W2lhueFIol3oRJn2kqGGxtZXblcfyecWC8dVSaj/9MsAXLQM874WU7GzBOaH3rOpjsgi3103G1o36x3h1OrHHX/bwv3xw9nK7My3ZO4+Y/dr/JRJXB8+ltvwlQuN2rpI6In+31ff8waPuo2btBMW4XMTje7fJ87qAko5hZmn5Xz30DbylsDn0Msbp+fTPNebCo10Wkl7PmSidM3IaPtqZtdTWr8uQuZFjE55xKs4TW4p4uYx62T+CH0IuGOARzYNQsTZf8R4It2NNt3h12Wk/6kxRHlarZrs1yNhnBGRJ9OG1iXp0hQVuUg8cit6v5FF5pOJwsNvVj4K9TqYho31/I/NmZbvg3Mqsj4hd2g/FlHO7PGLeLGByN7vqc2UFJRiyztOcq1Wn2+q4GQ1i/jr8+LAhPCba7J9z7drDWWeAl1/3Na0bTpwN239Zd6E+4V1E3meXKOG9HnH3t2FdDSZ+Yh21Nw3Fc+8CX5BDMgcFnUQDSvxFsbao93ffDciy2ctiqE65wjuq2OkOi//NTQOw1ns2WqzWc6rWHw73gB478Mj/quC913hcc+LVa6hO/4MCv+Wq7d15peF9JPSl4nfwLK4jX7awYrp5ry/dF4Zxk1Kqny8oxbhcxOFpa3kFJxgJmafXzlW6bwbBxG5Xh9p6Uvm55wOn+0wrfdVDd3w1z43X/aQPZe+0ztuJ7w1afVx/m6VqBuJWZO9wlUDnot1M2N/fnylkhtLefQzAHht+1EWr8C8HWYTC5PCDQGg3mL48hRnAvjuIKsRdEU2sIpWYQTJU/1WH25Yn28B8cZQ/RWBmOfT3LfteftfurGCcQam05gg40W5KKt9283399UnXH8+RljNtFDI6W3dJBScYCXmnvxzgdxt9em+M/3+CIWQA0psB1vKl9qCdvw0X9Y3N6Vw8Vm6tUudtPQd23Rm3L7tiZtnbA6FMu2sG+1hY6hv1Jwjtsn7hwdKLMSWQcgjkw6qYmS//9wdZ9NthDoDVcsD1zmKyzfMSXsdTk03UyCtoh7lOevPy2Xwx7082rkZfxoPboaoDGGLeLGBwtXdBBScYCXml6y5YBh+t5+vFlVlvEgs1l0Oo4+c/byu+jRU3Vh+QWG21NW6n6wObL/nAshq+Zp1x80knxf3hUwSOtRTHvsK0T31ueyltv+yXNIZgD44vEeEV/fbB1LIbDfyHQgiGzLjZCA2dfIJYjhLjlYc/wuERvsnbiqnWPy+oYt4sYHC37ooOSjAW80pr26sBr2udNs8x3zJEMj9toaqRirrOPI/U+Qjxmth74d/UrGW8vdMQoI9RpuYiKY1hscPWCavGOqgYpggQy0ByoHBgNvoyf9XcHW8dV/2diHiqL79yojKfhpOnezqDhPh88NzEx4HUI4n5cTXqD+fZ1RqsUeBnxTebFuF3E4GjZcx2UZCzglda8RgWvgG84/neDjKJm4xZPo1w/z6ncx4hNUMshjmw/wNUzbiZdMVN/rYE3iJizNehbA6GluBoL77CtAT8eMmfscwjmwHgxNdWHvzfYOq8ng9kQ//qvVD3AxLtsuc0DT3sZziLcYfF6uGqeNzChBa/CbP6jfsM5TRjjdhGDo6XrOyjJWMAq7VoY2LcrhFvLt+GF35I0b3PvWnxe4LuPEXHGHLG2qYybLd5MlPgoMbUl9LTdi/lCm8xrHKzDtoYLSexS8msr3ycOwRwYPp1Ryv/OYAvefjiYbi+3EeKPuihulia5DCdvN3U2xn0h/Twzm1Q00GUHryEfzj+/CvM2aX+S9xf2GLeLGBxfTGwq6qAkI5NV2u7zZBWcObN8+VOlxbuWl0P87/T1y2GgqH1bU9yt8uMxE8axHNfthAPlFUN+1unxOAjofrWCddi+Qg8aZvdfa1A+cQjmwKBoZ2/z9wVb98NiOF6rda9ru12m7L6NB7iVC4iWf9kS4u2wnPT68CrMl6/At646FojJgLc23z7GuF3E4PhmY0NZByUZlazS5hsD23C9zuu/nPc2xydgt1Ip1tmXE0ruo8/zXlbxeGGT3xKHGAuJqG1t31Q2lMksk70QCZ3CXuNgHbY1XEiOnD2rr+W0TxyCOTBo6plb/WXB1mUzHi4O1ffoFXOkH7M7k8Dd5R4VvE/G+L+ukxjfhvS0mfaLyergM2nd+3pOUhvKqm6M20UMjpaWd1CSsYBVmueJ/3PtHVdr3ASSlondSgXVz98e3b8PN8bwj1dMHdX48178j9CtC7D72toAR/ijcVV9m7ZR1bIu67B95ZZ5XJNDMAfGq62JPv1FwdZ9Px9Ot3aT+G3gv8Ekcjovbfv3e6D5r0PeGR40MXvF234JC4eLHWKu/D5lXUJUpsS4XcTgaNktHZRkLOCU5n9q/nn8Xcs5m8Xo2wSsMaa8Tr69Seva9//5cO2jXl1/bTM396IQ/6HV/B8SViaYeCGXf+KRc9i+SIcg+tv4eauL/8ghmAMDr1iw5t8SbF1hSmtZf2sFaupc0LHRoHdiO+Phr+VNNDMEieCwUnW0wxH3vSURYMa4XcTgaNlJHZRkLOCUdhoZ1I9XeLFDucy3a7urZ/Z5O9gb2eGrinNRvzm+NdUfz7jjRNdtbWhm+5q74v8jTz4Sekz9Ee1Xq/2FnMP2jW0usjWXQzAHxpuxaT7+FcHWaTmcPKe0KkdOWs3Xp3E+B+tCbnr8VIjfPDg88BXjvl8MnMNKv7U4SZyUH+N2EYPjm+MayjooyajklLZZGNQv1+tYnSQy8Ic8bxhjxHarqsn3SbMj4p2D+75vgb1k+v4yojf9tI+3z0dZ0ADhFMIFtSW63bh176KhdUXOYfvGLfMSbQ7BHBhvxqb5+OuDrft+NpzrXVo1F66QjzLXmvzG5H0ywc3XEIw7FqhlBQJyrCYw3QkzWq3OCDv0JGbTY9wuYnC07LgOSjIWcEqb4oYMvPDK+1ZEI+95vaFfg75aPFs1pLaIo7RWX2fHDOixL3bPMRSP+Zf9/rZSq8QePUfYCrZe2bN3r16VmOYctm8S1uio/q3h148cgjkwvoqMVfi7g63bdjKqvTX46bQT/19GT/DupG6Ce6r2hcjjKdGcd1oOinnbcHHXE/njNMbtIgZHy87roCRjAae05iNNDdPzeh33Ns9P2BRycQ8evi6+Q84R0cZk8R2jKo2wR/79bZMYWd/ryB+CJf+2HsnNn6j52e8ubijl+D3jwGiQFj/rFwdbMG8xXtv98C+uu+P2er60+YUfLv2q+ySkH3AbOCSoGTAvy/5g2T5Y3HxfiiELi3G7iMHR0gEdlGQsYJR2Q79V7tyrnwJhpPiuu6Gvhi4fe1b9Rxsv0H2AmaX7cl69lwFb4et+fyxIvZ7/MYZ6bVKacVB94Bdk2Insu+EQzIHxwZ9xs39rsHVdj8fbjzsMopxzHLejGtjOclvjH8dfPK913w77S8Rjh45LNzKnKOenER1PJ89gvIEf0DsW5ivS2ximC5y7tp6pqyvi76cz6lnDBVIRTndjrT1qRbOx6YfM3seviw8N2mbfPFOLbfEa6jMO23d0mRNZOQRzYLxbm+Tzrwy2ruvRZPdl38B+kMSXkUnPgnuqToiHlyKbi6W7LIopbS1QLNaSnP23bungLamDkoy7GKWtsJtd7rC34T5rf67IrY8bzzffuZ2YObINJsi5IXbbG09Tr9jFWTS++I6qi/zXDuOwffebzPuMOARzYLxbm+Tz7wu2btvx+Fuk9Xj8G4uIkrHWRTCOkx3m52mxal5a9vJuUX/Ue2GaKsS4XcTgaLLtS14HJRm1jNImntU7Q/mojurctn/GF/vHo3fpDTPjP8FsTVjyH81g3aQTnv3+79X9n8UPZpAJV14MYxy2L7jwQWZPG4dgDox3a5N8/mXB1n03GW9808GrCAfBJOmsOqlkrHUbiJy5Upcvk75Mi82XGc+vpIdeq8cWv2K9F8a4XcTgeLfL87mDkoxiRmnotedhNUF1br/TcrIxur9et75tNzfEQiKmzkPi1NE303z7/d+q+z+KH7QV4XlHxmH77jCZl0dyCObAeLc2yedfFWwdpqMPO+Lrvrv1KPt16gi/IC0694R8TVrX3AQv/cV9KTUJF104jXG7iMHR5LgveR2UZNTySUNvvD6ZVabbqO280AX3cLV/09AWsUiIWWx8tHvtkPF6q6t3nq4VGhy0hV3ubYlrq8u/GlFyP4J/8FhDWyQ4fs84MFpIlqv6e4Kty3KI2/UcYfemXH8gkW99wbmn+e+cGdwWC+qslnpuvu0pEcieKqvFuF3E4GhjM9TtoCRjAZ80xPnxFenz6Kj2p+Mh72lD7wO4I8R9Y7wxXvp8vcvv2toz34ZkHreruWgjHc3J/kbx/UrUfMIByoFRk5Qu+UuCrft2PEV+G956xD076TqhNfN9VPVb64aYBrsBPWbB4MvUgRO6A5YBsW/hJWqPcbuIwdHS/A5KMhbwSUPPZ9TDk9nItxfCCK2uyMMW/Hv1z4gDSVHzaAvxyOLO/PjgETGr9+r1lp9W7AexOgL4hq0DLfOnEYdgDgzX3AQ5vyLYOs5G3o1a1ncr38YFW/P3JqaCNl4Q+zq657l92Ft2ZoIOBWfFuF3E4GjZ7x2UZCzgk4bdCrR/OSFiOWgXbc1Rsc3JfyTXdGNc8PmK2f5+LcT/JJshpH42winhPyf1jWKBmDV8a9L2I9+wdZl9z7K6LRA5HII5MBBS5at0P9i6b0aLNnMWvzJWaNfRou8iGvLe4tpZRq29DDuNdOv/kqIqK9vFuF3E4GjphA5KMhbwScO+EG/6+lW8Qrw9x4iFKzK28X9hXhBBEmr7OyZqqxlASH5/tXZ7QL4+b+aeYR9LbW6OyZU0AbcvEKOyVodDMAdGTVK6ZNeDrcti1O75st3LH5DpHCvIjHmnLJl+6TkZkQws2BD2wLSbJ3jTcpE79KFiinG7iMHx5jffxw5KMpL5pCG/o+7vcdBi1GpqCLddfOzfa4GZL1ojbgJ2v79xKf+1vvDKgI7sKTIT8Xi/Nnx8w9ZlRT9V6zb9nMMhmAPjs8KIJd0OtvaT1gN4JP/nRcTuaaLCnnHY1Nabd5a+I3kVtK9wHwUuAg5fJx3aK/C1iHG7iMHhs/OtvIOSjEI2adiHuHZO/DJrtQH8dRXSmPF+9W/aemCCJNTU1sgf2L3La/l5wbsJSvpU03GbBZiWrtDV2YZtA72IezgEc2A02Bs/q8PB1n0zbH8+5UX+lQnxO+mVcVz12Wsm16ch5t1oXGQ8OPchaj/LZzL5c9li3C5icHz2YWNJByUZnWzSsCdZTt1frHY7L1Gzr5hN4ENEkLSaG0d9vvreDvS5JbaEeR1xgjAcK62p3lD+ySy2Ydugf+R9lLWhkS+LQzAHhk9nlPLOBlu3FeYpZcdHmLuE0+hXZaDep0G1aP37FmHvo8BY68K8WtHg+xi3ixgcDaZ9y+qgJCOXTdpmYSC/X5serWv1TDFqmgdz6NcOMaN2Q0xwcz8t2OC/Jqc1VENmzYUnsBEPeiKVfqzGNmwbGLCbDxuafs7iEMyB8VlhxJKOBlvXBXE5cIB7jVhEDzNTXVF/4RJJb5LgRE2+ZpPANcQHKaj3qXotj3G7iMHxapX3UwclGc1s0uYbA/n12vi26lYbAjCTVo8HYi0IFSQ9DwX7bBZm99fn1piShulATLMPdVaSSwLAGWFRhW3YNrhIZOKPQzAHRoO98bM6GWxdZhNizPT3ryKiXl1GHUfzBbVlsnbBT2aiDswONC/G7SIGR0s3dFCSsYBNGvIrqjkma/WoC2qaZ4aYvXl7LtK45OWK2dmFC/9eYFt+cDe6tQR4qY6dhHxp1OLDLw+2RN4dyfF7xoHRohvlqnYw2LrOJ+TV4zVir4GcMyMgY99JS5KCOs2QhCzW6NgPeg4RdPWJcX0bk2LcLmJwtLEZ6nZQkrGATdrgYiC/Xj8sVa9bHLSJmubZIG6AqL32A8Ru7z7O9q+O+Vp4630tblnIG7o55Pe+k8WewTZsG5TN3F2FDbVaZnEI5sBoKVumeueCrdsiZO0Y8eizjB9joYqGBlPep38i+KTVQkyjHsxT7o0N22TGuF3E4GhjM9TtoCRjAZs0XDhwGRjit+sEv+EQE0c9MC8Pck6heNNUflwtmnJf85Z48a8N0Z/87x9CQz0e2GcZWkDWq16FD+tTXGzDti5cp0W2tHEI5sBosDd+VseCrfsq6IFi1G0kvpP5GDeIza1kNsx5h2RwmYbB656oh9yDtce4XcTgaOmIDkoyFnBJu+KmMz4GSjf8GcxnzJc5Zof8A/Mn6flTeGg8CFdMnVp1QnJZfT8RWjY0QTmwoR0y69xilhIJ6VTjGrYOMGRgX4XQ1PZjHodgDoyPAmMWdCvY2gWePHDA3I9iupeZ646/NROY55x3NgJ/+yan4AeAokxsif5BarzWwVtSByVxewu5b2ny8fS/Lf4r+v1YVGPLy/XDeuVLnfXi5WPzB8waIYasGR2Z2/hcAbKtUw0ZGDvtkBknyT+EtQbJ3yiR5wc4BHNgIPtQtlqXgq3zeNnqUGXXM8uFm/c35axDn7z75owbagfuN4ToZaPgbQZhr/nBGhzjdhGDA2uvrtdBScYCLmk73G/kl18t/BhG7a/AVEK8QvHxaN7Sb/xXXTHb8V9btPyEmqhDY3J1ejPhwTm2trleSK6kBWuJRWEOwRwYIU5na9udYOu+HAfvtxx//AOSzWEpgWTXvH7fEWXhE5mRXu4U43YRg6Pl4O+gJGMBlzTcdMC36OaMeFlhpRq1zoOqhJkj2yMmajB1jMdp1xHn4ysYs2kyVasd4tkEOnrVkmvYNukQeViTQzAHRpPB0fM6E2zt8X/hfXbSlz8gPzf6PSVbxP2Pbs3vO2NrHDyxRTzNra2TY9wuYnC0tLuDkowFXNJwj3B93LKl5KD3HW4x3+aor0zMYeGY9xDxTjyZvqlfl5zP7CCfHK3zt0ijPN8Cr6kq17BtwkYNr6aG3/I4BHNgfNMYrawjwdZ9Pg1cQVQe+/jMTzR3yhJhXrRBVnD8dfvdMGcBfXfHGbe9+TsIojTG7SIGB8LUepUOSjLyuKRhwpbH4+tyG+a09lI2an/YAfMHGWaJ8IHZtIXZam9cTrruOdfmcJ1F0gmN1tV3KbU5qh3XsG0iQ66INzX9nMchmAPjs8KIJd0Its6BG+O1w+RntSP2jEsVHly4mM8c+fOgn1w8qXDFiwj3R2VrjNtFDI6W/dZBScYCLml91Pvwvh9ahX0wBTPX9EA9coeaxMBM2ons8zF9pK4Xzj+HkAfQ1vlbpFkn4T7wcg3bJnjWuNYQcAjmwDB6kl47EWytx6hbltdR8ue+eCVIVggPLr6oQ73E40v7+EUMijF/vHMYFuN2EYOjpS86KMlYwCUNtQ3Is9qGfu0FhszDVdmPOY3rgVkWEz66CtRy7gzBhI9mgLS/onbLtYd9acE1bF9A9QfUnGhTw295HII5ML5pjFbWgWDrzvYGmknwHp5ofqcQcd53HH7UsdJOq5QZmBfqftcXbeU0xu0iBsd3dzqlHZRkNDJJQ4U23tM0J4h37CjhqD1HmIgMNUeG+fLF2W+cTrlyLlSKHNtpjZJFr2iYhq3VXE+IBM4cgjkw6oYmS6cPtm4cO+Mr/w3Ir/lJ5v8WxAf8iTwtUE1V1DYOU7kT1/DQOtYqYl5G7MSAqYtguoHjjm7ynWt1RBwgqsRjjnXAvIoa5osQO2RRtqHiv7rj26Y5F+c4sVw7ZOfNKj6mYeuKhxzUlsDGll8yOQRzYHyRGK8oebB1GfI93PuDuIXEcy03k2w4FGtFjc8r4RN90YLzGLeLGBwtO6+DkowFTNJQ63EP75zH9z1dRvMD9XUeNyJDSbIGEBKc27Zx53QQRJZNRF7k/CaGadi+oVYfcWO5sennTA7BHBifFUYsSR1sHYfBh2tZb6H+FLO1f11C9Lhm1o2oUVz77ewinIBrgasXXivG7SIGR0tPdFCSsYBJGmap7fHwHhaFfCsNamYGFf6gAoMh4l3UmI1dxuekK2cIICtWdvt95TymYdvYE+E31AZYDsEcGA3S4mclDrbOA56t8aXjOH8v4/eEj1Hkd8GSbnEnYdv66ROr4AOPd5yPlX91SIzbRQyOr0a6hR2UZEQyScPNuxQ3Q/vhivzdRj37h9qn7Z1rU0Ix0YP4PRe1veyDW9+zUQ9hvjdCf0ZNKaLRmisyDdtGcOQgbGz7MZNDMAfGR4ExC9IGWxfWJf+/++SHrwcjBg8Z1N03mIUTIHznLOpriUVyjNtFDI6WzuigJGMBkzRU+IPYRY47UBgVLKDWylBzZJh7AsI243LiNXy3gCUWOdzAosue4lXRMA1bq7meEHmtOIdgDoy6ocnSSYOt25B1R7tsOJKsizTxVPRRS96eiOGr8FXVeDbHuF3E4GjZrx2UZCxgkoYKWhBTBnPUQemoYAEVkaEW1FDGMcZCpm9er4wxDG7R95Ue/wmz6opHa67JNGwbwUVOeOYQzIHRaHHszKTBFvPLUpA7H2K7mIlPdgc75vEkJkN4YBiWF+LZHON2EYOjZdd1UJKxgEkaaoMUIkbCTcqjHs5HsMF7/DC7BlARmXiIgXKx6dbvV9k1T9ZVmg+GMA3bRnSRbbscgjkwGi2OnZky2FpjfuNbOET2cb0WQiSqyu7mFplClnCDxUR98djaTYmINse4XcTgaHLjl7wOSjJqmaRhtjVhTgfFPduDChZQ0zdHzEt9UGEbaqu98TrlyrjYjzpdn6KxbIN7mQAZvmzINGwbRaDP1m1s/SGTQzAHxgd5cbMTBlvXvm/faEtXiP/et9TDWj08uPgmJ95e8W8q2pSh/uz+Coj6LvmKgC6McbuIwYE2uKrYQUnGAiZpqE3RmOU41GocKlhA3Sj4wjbGWMj0zesVtS3utcmnT7Lvzv3twZbIn/Mcv2ccGJ+GRNT8hMHWeM9sqfcJa2a+qHCorRhkRYx3NLKGdg0x32DfESPaHON2EYPju0Od0g5KMhqZpKE2FGE2mqOiNlSwgIrIUJVQEVn4Hz2mSz5cGW98KP99kOHP9j5z6ofw1mAato08115jdlgmh2AOjDArmFqnC7b4D6wV3z7A5HMSjOyGNPG/T0k2f2sUvpUD8x34TUGLshi3ixgcLUxWVTsoyVjAJA0VbGHWGlG/gKjFRlREgaqEisjE54dRy6KmW79fUf77DvGlNAdbDc7h+D3jwGiQFj8rXbA1Q74QDO+TGDsU8WqYa4YHF98E/b4VWNRUwDeTHxFtjnG7iMHx1Z9uYQclGZFM0lB/32GeekXN36AeCkFFFHxIqFVL43XKFRXy4YBRrsFBNdT67cHWLc9sNfQqZ1ayYOtesL9bh3sPGKefg7FQf0OTWTDfB2RwkYaor7mvzLIefaFm+mp/wXz/EIPjndPzuYOSjGImaai/7zCVUPM3qEOtUHEUHxJqrdF4nXJFTcLhgFGuwUE11IrxcDPTsG1Q/3jkYKvRLYyZyYIt1J9y7QyNMdrbKWKsHR5cfBOD+T741j5+Wfh2VNmzNF48InmPNEQxOAwX8tpBSUY5kzTUKMRUQsUsqBApciXGWMj0zeuVcToqB1uvrn39dGf6nXhB5cDkwHgRlepDsmBrzn9G518dbGHu2PRBJItO1/W5ZfikfTjCZ3VvJTFuFzE43szyfeygJCOZSRpqDGEq4RbLMKojB1uMsZDpm9crY4SEcs0re4tPMb5+MAOgheSXqjnYenGHwIdkwdaY7wXUxi2SI9FwJLti7th0cbLodF2fW4bf2sIRPqt7K4kxMmNwvJnl+9hBSUYykzTUGMJUwsUsKNVxKzHGQqZvXq+MERIj1KvG8hPK7w3t2mSJckiAc2ByYLRxsljdZMFWn33LVpcffgrvP8wdm84ii07X9bll+G7OiL/DMahicHzujsaSDkoyOpmkoWAwQxUXB6Do4lbCCTdup1xR9uCAGaFcQlFwTSfKIQHOgcmB4XZXgpxkwZaABwUgE/TIB0pZ42TRP5gUlB2uOBwBbUAMqhgcaIOrih2UZCxgkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQrDkfwabTlMahicFiDcIkOSjLCmaShYHIl43XSFeU+HDIjlEsoCq7pRDkkwDkwOTDc7kqQk4OtBE6nUMqOOFl0ir2+NuGKwxF8Gm15DKoYHNYgXKKDkoxwJmkomFzJeJ10RbkPh8wI5RKKgms6UQ4JcA5MDgy3uxLk5GArgdMplLIjThadYq+vTbjicASfRlsegyoGhzUIl+igJCOcSRoKJlcyXiddUe7DITNCuYSi4JpOlEMCnAOTA8PtrgQ5OdhK4HQKpeyIk0Wn2OtrE644HMGn0ZbHoIrBYQ3CJTooyQhnkoaCyZWM10lXlPtwyIxQLqEouKYT5ZAA58DkwHC7K0FODrYSOJ1CKTviZNEp9vrahCsOR/BptOUxqGJwWINwiQ5KMsKZpKFgciXjddIV5T4cMiOUSygKrulEOSTAOTA5MNzuSpCTg60ETqdQyo44WXSKvb424YrDEXwabXkMqhgc1iBcooOSjHAmaSiYXMl4nXRFuQ+HzAjlEoqCazpRDglwDkwODLe7EuTkYCuB0ymUsiNOFp1ir69NuOJwBJ9GWx6DKgaHNQiX6KAkI5xJGgomVzJeJ11R7sMhM0K5hKLgmk6UQwKcA5MDw+2uBDk52ErgdAql7IiTRafY62sTrjgcwafRlsegisFhDcIlOijJCGeShoLJlYzXSVeU+3DIjFAuoSi4phPlkADnwOTAcLsrQU4OthI4nUIpO+Jk0Sn2+tqEKw5H8Gm05TGoYnBYg3CJDkoywpmkoWByJeN10hXlPhwyI5RLKAqu6UQ5JMA5MDkw3O5KkJODrQROp1DKjjhZdIq9vjbhisMRfBpteQyqGBzWIFyig5KMcCZpKJhcyXiddEW5D4fMCOUSioJrOlEOCXAOTA4Mt7sS5ORgK4HTKZSyI04WnWKvr0244nAEn0ZbHoMqBoc1CJfooCQjnEkaCiZXMl4nXVHuwyEzQrmEouCaTpRDApwDkwPD7a4EOTnYSuB0CqXsiJNFp9jraxOuOBzBp9GWx6CKwWENwiU6KMkIZ5KGgsmVjNdJV5T7cMiMUC6hKLimE+WQAOfA5MBwuytBTg62EjidQik74mTRKfb62oQr/j97Z6IVx640a7wZjWfj2Qzv/5anm66UAVWjqMyIlM5a8lr3VyGlvoiM0vHWBQxxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJT0bPfwABAABJREFUNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTUUcAaTwahfV4eZednqELpHUnvitHRPv609ccdxQstjWc+QytAoDWEPA1oy4yRrEGYWWequEYoPIxNRtaAUvshJNRRwBpPBqF9Xh5l52eoQukdSe+K0dE+/rT1xx3FCy2NZz5DK0CgNYQ8DWjLjJGsQZhZZ6q4Rig8jE1G1oBS+yEk1FHAGk8GoX1eHmXnZ6hC6R1J74rR0T7+tPXHHcULLY1nPkMrQKA1hDwNaMuMkaxBmFlnqrhGKDyMTUbWgFL7ISTXO7uumojMMwwxGtA/K/nnZosSoh2hPnJauSCfuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOqjEvW/VLpc7MyxY1Th1M+j+zBy1dkUrccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQtK4YucVGNetuqXSp2Zly1qnDqY9H9m87Kle3F7svblHbxnaGxMaUBL1gHJGoSZRZa6a4Tiw8hEVC0ohS9yUo3zu7qp6AzDMIMR7YOyf162KDHqIdoTp6Ur0ok7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEpfJGTaszLVv1SqTPzskWNUweT/s8s5VMv3GziecQJcEcZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbWgFL7ISTUubuumojMMwwxGtA/K/nnZosSoh2hPnJauSCfuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOqjEvW/VLpc7MyxY1Th1M+j+z+Zkt3Yvbk7Uv7+A9Q2NjSgNasg5I1iDMLLLUXSMUH0YmompBKXyRk2rMy1b9Uqkz87JFjVMHk/7PLOU2wM0mnkecAHeUIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuGLnFTj8m/dVHSGYZjBiPZB2T8vW5QY9RDtidPSFenEHccJcF8ZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbWgFL7ISTXmZat+qdSZedmixqmDSf9nNj+zpXtxe7L25R28Z2hsTGlAS9YByRqEmUWWumuE4sPIRFQtKIUvclKNedmqXyp1Zl62qHHqYNL/maXcBrjZxPOIE+COMqQyNOCGD4UDWrIOSNYgzCyy1F0jFB9GJqJqQSl8kZNqXP2pm4rOMAwzGNE+KPvnZYsSox6iPXFauiKduOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWlMIXOanGvGzVL5U6My9b1Dh1MOn/zOZntnQvbk/WvryD9wyNjSkNaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6qMS9b9UulzszLFjVOHUz6P7OU2wA3m3gecQLcUYZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULSiFL3JSjbe/66aiMwzDDEa0D8r+edmixKiHaE+clq5IJ+44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6qMS9b9UulzszLFjVOHUz6P7P5mS3di9uTtS/v4D1DY2NKA1qyDkjWIMwsstRdIxQfRiaiakEpfJGTalz/qpuKzjAMMxjRPij752WLEqMeoj1xWroinbjjOAHuK0MqQwNu+FA4oCXrgGQNwswiS901QvFhZCKqFpTCFzmpxrxs1S+VOjMvW9Q4dTDp/8xSPvXCzSaeR5wAd5QhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQtK4YucVOPdz7qp6AzDMIMR7YOyf162KDHqIdoTp6Ur0ok7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEpfJGTarz/UTcVnWEYZjCifVD2z8sWJUY9RHvitHRFOnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULSiFL3JSjQ/f66aiMwzDDEa0D8r+edmixKiHaE+clq5IJ+44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6q8fFb3VR0hmGYwYj2Qdk/L1uUGPUQ7YnT0hXpxB3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBS+yEk1Pt3UTUVnGIYZjGgflP3zskWJUQ/RnjgtXZFO3HGcAPeVIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuGLnFTj89e6qegMwzCDEe2Dsn9etigx6iHaE6elK9KJO44T4L4ypDI04IYPhQNasg5I1iDMLLLUXSMUH0YmompBKXyRk2p8OVwG6s4CMwzDDEagBd7WedniZSklaU+clq4IJu44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6q8fVz3VR0hmGYwYj2Qdk/L1uUGPUQ7YnT0hXpxB3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBS+yEk1bj7VTUVnGIYZjGgflP3zskWJUQ/RnjgtXZFO3HGcAPeVIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuGLnFTj28e6qegMwzCDEe2Dsn9etigx6iHaE6elK9KJO44T4L4ypDI04IYPhQNasg5I1iDMLLLUXSMUH0YmompBKXyRk2p8/1A3FZ1hGGYwon1Q9s/LFiVGPUR74rR0RTpxx3EC3FeGVIYG3PChcEBL1gHJGoSZRZa6a4Tiw8hEVC0ohS9yUo0f7+umojMMwwxGtA/K/nnZosSoh2hPnJauSCfuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOqvHzXd1UdIZhmMGI9kHZPy9blBj1EO2J09IV6cQdxwlwXxlSGRpww4fCAS1ZByRrEGYWWequEYoPIxNRtaAUvshJNX5d101FZxiGGYxoH5T987JFiVEP0Z44LV2RTtxxnAD3lSGVoQE3fCgc0JJ1QLIGYWaRpe4aofgwMhFVC0rhi5xU4/fbuqnoDMMwgxHtg7J/XrYoMeoh2hOnpSvSiTuOE+C+MqQyNOCGD4UDWrIOSNYgzCyy1F0jFB9GJqJqQSl8kZNq/Lmqm4rOMAwzGNE+KPvnZYsSox6iPXFauiKduOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWlMIXOanG38u6qegMwzCDEe2Dsn9etigx6iHaE6elK9KJO44T4L4ypDI04IYPhQNasg5I1iDMLLLUXSMUH0YmompBKXyRk2rcXtRNRWcYhhmMaB+U/fOyRYlRD9GeOC1dkU7ccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQtK4YucVOPuvG4qOsMwzGBE+6Dsn5ctSox6iPbEaemKdOKO4wS4rwypDA244UPhgJasA5I1CDOLLHXXCMWHkYmoWlAKX+SkGvdndVPRGYZhBiPaB2X/vGxRYtRDtCdOS1ekE3ccJ8B9ZUhlaMANHwoHtGQdkKxBmFlkqbtGKD6MTETVglL4IqfVENAZSAajfl0dZuZlq0PoHkntidPSPf229sQdxwktj2U9QypDozSEPQxoyYyTrEGYWWSpu0YoPoxMRNWCUvgip9U4u6+7Cs4wDDMYwTY42+dli5OjnKI9cVq6Ipy44zgB7itDKkMDbvhQOKAl64BkDcLMIkvdNULxYWQiqhaUwhc5rcbFbd1VcIZhmMEItsHZPi9bnBzlFO2J09IV4cQdxwlwXxlSGRpww4fCAS1ZByRrEGYWWequEYoPIxNRtaAUvshpNS7/1l0FZxiGGYxgG5zt87LFyVFO0Z44LV0RTtxxnAD3lSGVoQE3fCgc0JJ1QLIGYWaRpe4aofgwMhFVC0rhi5xW4+pP3VVwhmGYwQi2wdk+L1ucHOUU7YnT0hXhxB3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBS+yGk1rn/VXQVnGIYZjGAbnO3zssXJUU7RnjgtXRFO3HGcAPeVIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuGLnFbj3c+6q+AMwzCDEWyDs31etjg5yinaE6elK8KJO44T4L4ypDI04IYPhQNasg5I1iDMLLLUXSMUH0YmompBKXyR02p8+F53FZxhGGYwgm1wts/LFidHOUV74rR0RThxx3EC3FeGVIYG3PChcEBL1gHJGoSZRZa6a4Tiw8hEVC0ohS9yWo2P3+qugjMMwwxGsA3O9nnZ4uQop2hPnJauCCfuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOq/H5a91VcIZhmMEItsHZPi9bnBzlFO2J09IV4cQdxwlwXxlSGRpww4fCAS1ZByRrEGYWWequEYoPIxNRtaAUvshpNb4cbgN1a/4ZhmEGw98Bcee8bBHDVKK0J05LV+QSdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCUvgip9W4+VR3FZxhGGYwgm1wts/LFidHOUV74rR0RThxx3EC3FeGVIYG3PChcEBL1gHJGoSZRZa6a4Tiw8hEVC0ohS9yWo1vH+uugjMMwwxGsA3O9nnZ4uQop2hPnJauCCfuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOq/Hjfd1VcIZhmMEItsHZPi9bnBzlFO2J09IV4cQdxwlwXxlSGRpww4fCAS1ZByRrEGYWWequEYoPIxNRtaAUvshpNX5d110FZxiGGYxgG5zt87LFyVFO0Z44LV0RTtxxnAD3lSGVoQE3fCgc0JJ1QLIGYWaRpe4aofgwMhFVC0rhi5xW4/fbuqvgDMMwgxFsg7N9XrY4Ocop2hOnpSvCiTuOE+C+MqQyNOCGD4UDWrIOSNYgzCyy1F0jFB9GJqJqQSl8kdNq/L2suwrOMAwzGME2ONvnZYuTo5yiPXFauiKcuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWlMIXOa3G3XndVXCGYZjBCLbB2T4vW5wc5RTtidPSFeHEHccJcF8ZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbWgFL7IaTXuz+qugjMMwwxGsA3O9nnZ4uQop2hPnJauCCfuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOrMHHM4gMRv26OszMy1aH0D2S2hOnpXv6be2JO44TWh7LeoZUhkZpCHsY0JIZJ1mDMLPIUneNUHwYmYiqBaXwRU6scX5XtxWbYRhmMGJdkHbPyxYpSDVGe+K0dEU2ccdxAtxXhlSGBtzwoXBAS9YByRqEmUWWumuE4sPIRFQtKIUvcmKNy791W7EZhmEGI9YFafe8bJGCVGO0J05LV2QTdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCUvgiJ9Z4+7tuKzbDMMxgxLog7Z6XLVKQaoz2xGnpimzijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFpQCl/kxBrvftZtxWYYhhmMWBek3fOyRQpSjdGeOC1dkU3ccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQtK4YucWOPD97qt2AzDMIMR64K0e162SEGqMdoTp6Ursok7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEpfJETa3z8VrcVm2EYZjBiXZB2z8sWKUg1RnvitHRFNnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULSiFL3Jijc9f67ZiMwzDDEasC9LuedkiBanGaE+clq7IJu44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6s8fVz3VZshmGYwYh1Qdo9L1ukINUY7YnT0hXZxB3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBS+yIk1vn2s24rNMAwzGLEuSLvnZYsUpBqjPXFauiKbuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWlMIXObHGj/d1W7EZhmEGI9YFafe8bJGCVGO0J05LV2QTdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCUvgiJ9b4dV23FZthGGYwYl2Qds/LFilINUZ74rR0RTZxx3EC3FeGVIYG3PChcEBL1gHJGoSZRZa6a4Tiw8hEVC0ohS9yYo0/V3VbsRmGYQYj1gVp97xskYJUY7QnTktXZBN3HCfAfWVIZWjADR8KB7RkHZCsQZhZZKm7Rig+jExE1YJS+CIn1ri9qNuKzTAMMxixLki752WLFKQaoz1xWroim7jjOAHuK0MqQwNu+FA4oCXrgGQNwswiS901QvFhZCKqFpTCFzm1Bp3PADIY9evqMDMvWx1C90hqT5yW7um3tSfuOE5oeSzrGVIZGqUh7GFAS2acZA3CzCJL3TVC8WFkIqoWlMIXObXG2X3dV2iGYZjBCDXB2jwvW6wkxRztidPSFdHEHccJcF8ZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbWgFL7IqTUubuu+QjMMwwxGqAnW5nnZYiUp5mhPnJauiCbuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8EVOrXH1p+4rNMMwzGCEmmBtnpctVpJijvbEaemKaOKO4wS4rwypDA244UPhgJasA5I1CDOLLHXXCMWHkYmoWlAKX+TUGte/6r5CMwzDDEaoCdbmedliJSnmaE+clq6IJu44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6t8f5H3VdohmGYwQg1wdo8L1usJMUc7YnT0hXRxB3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBS+yKk1Pt3UfYVmGIYZjFATrM3zssVKUszRnjgtXRFN3HGcAPeVIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuGLnFrjy+E+UDfnnWEYZjC8/qn75mWLGqcOpj1xWroilbjjOAHuK0MqQwNu+FA4oCXrgGQNwswiS901QvFhZCKqFpTCFzm1xs2nuq/QDMMwgxFqgrV5XrZYSYo52hOnpSuiiTuOE+C+MqQyNOCGD4UDWrIOSNYgzCyy1F0jFB9GJqJqQSl8kVNrfP9Q9xWaYRhmMEJNsDbPyxYrSTFHe+K0dEU0ccdxAtxXhlSGBtzwoXBAS9YByRqEmUWWumuE4sPIRFQtKIUvcmoN+m+iZhhmMOrX1WFmXrY6hO6R1J44Ld3Tb2tP3HGc0PJY1jOkMjRKQ9jDgJbMOMkahJlFlrprhOLDyERULSiFL3JqDfpvomYYZjDq19VhZl62OoTukdSeOC3d029rT9xxnNDyWNYzpDI0SkPYw4CWzDjJGoSZRZa6a4Tiw8hEVC0ohS9yag36b6JmGGYw6tfVYWZetjqE7pHUnjgt3dNva0/ccZzQ8ljWM6QyNEpD2MOAlsw4yRqEmUWWumuE4sPIRFQtKIUvcnINtgCDx2DUr6vDzLxsdQjdI6k9cVq6p9/WnrjjOKHlsaxnSGVolIawhwEtmXGSNQgziyx11wjFh5GJqFpQCl/k5Brs30TNMMxg1K+rw8y8bHUI3SOpPXFauqff1p644zih5bGsZ0hlaJSGsIcBLZlxkjUIM4ssddcIxYeRiahaUApf5OQal3/rxiIzDMMMRqQH2t552aJFqQVpT5yWrkgm7jhOgPvKkMrQgBs+FA5oyTogWYMws8hSd41QfBiZiKoFpfBFTq7x9nfdWGSGYZjBiPRA2zsvW7QotSDtidPSFcnEHccJcF8ZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbWgFL7IyTXe/awbi8wwDDMYkR5oe+dlixalFqQ9cVq6Ipm44zgB7itDKkMDbvhQOKAl64BkDcLMIkvdNULxYWQiqhaUwhc5ucbHb3VjkRmGYQYj0gNt77xs0aLUgrQnTktXJBN3HCfAfWVIZWjADR8KB7RkHZCsQZhZZKm7Rig+jExE1YJS+CIn1/j8tW4sMsMwzGBEeqDtnZctWpRakPbEaemKZOKO4wS4rwypDA244UPhgJasA5I1CDOLLHXXCMWHkYmoWlAKX+TkGuxfjsgwzGDUr6vDzLxsdQjdI6k9cVq6p9/WnrjjOKHlsaxnSGVolIawhwEtmXGSNQgziyx11wjFh5GJqFpQCl/k5BrsX47IMMxg1K+rw8y8bHUI3SOpPXFauqff1p644zih5bGsZ0hlaJSGsIcBLZlxkjUIM4ssddcIxYeRiahaUApf5OQa7F+OyDDMYNSvq8PMvGx1CN0jqT1xWrqn39aeuOM4oeWxrGdIZWiUhrCHAS2ZcZI1CDOLLHXXCMWHkYmoWlAKX+TkGn8v68YiMwzDDEakB9reedmiRakFaU+clq5IJu44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBaXwRU6ucXdeNxaZYRhmMCI90PbOyxYtSi1Ie+K0dEUyccdxAtxXhlSGBtzwoXBAS9YByRqEmUWWumuE4sPIRFQtKIUvcnoNsgIDx2DUr6vDzLxsdQjdI6k9cVq6p9/WnrjjOKHlsaxnSGVolIawhwEtmXGSNQgziyx11wjFh5GJqFpQCl/k9Brnt3VngRmGYQYj0AJv67xs8bKUkrQnTktXBBN3HCfAfWVIZWjADR8KB7RkHZCsQZhZZKm7Rig+jExE1YJS+CKn17j6U3cWmGEYZjACLfC2zssWL0spSXvitHRFMHHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULSiFL3J6DfLv62EYZjDq19VhZl62OoTukdSeOC3d029rT9xxnNDyWNYzpDI0SkPYw4CWzDjJGoSZRZa6a4Tiw8hEVC0ohS9yeo0P3N/XwzDMYNSvq8PMvGx1CN0jqT1xWrqn39aeuOM4oeWxrGdIZWiUhrCHAS2ZcZI1CDOLLHXXCMWHkYmoWlAKX+T0GuTf18MwzGDUr6vDzLxsdQjdI6k9cVq6p9/WnrjjOKHlsaxnSGVolIawhwEtmXGSNQgziyx11wjFh5GJqFpQCl/k9Brk39fDMMxg1K+rw8y8bHUI3SOpPXFauqff1p644zih5bGsZ0hlaJSGsIcBLZlxkjUIM4ssddcIxYeRiahaUApf5PQaP97XnQVmGIYZjEALvK3zssXLUkrSnjgtXRFM3HGcAPeVIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuGLnF6D/Pt6GIYZjPp1dZiZl60OoXsktSdOS/f029oTdxwntDyW9QypDI3SEPYwoCUzTrIGYWaRpe4aofgwMhFVC0rhi5xeg/z7ehiGGYz6dXWYmZetDqF7JLUnTkv39NvaE3ccJ7Q8lvUMqQyN0hD2MKAlM06yBmFmkaXuGqH4MDIRVQsK4D8/vPv7TEigseN//v5P5P7s3/Ph6Uvk3ycyDDMYL5vq8vG8bHWJfbuo9sRp6du7be+IO44T2i6XigypDA244UPhgJasA5I1CDOLLHXXCMWHkYmoWpAP/3Py6evdMyG6xof9BeDq4xORs/snH+wf3z1dfbG2+/CRUE8vMwzDDMZRg5kL87KVmXZAS3vitPRA20e3xh3HCUfNvVzIkMrQeNlX4+MBLZljkjUIM4ssddcIxYeRiahakA//Wv1WaLrG2w+7Rp5dti6ffy6t7vPFzCPhxdy/DxmGGYx/jjo+zctWx/C3SGtPnJa+pU+0Nu44TkC9PmRIZWjADR8KB7RkHZCsQZhZZKm7Rig+jExE1YIE+OdvXy93/xrwx9uL698PD1/O/7ve3YWWjx7XTu2jh8/fbi4vb3Yufrw9v/r6OD5uqn3tZn69u7j8uPscWdn0cHN1vv8K5dfTs+vr26uPC2tPP99DFyOPsC+7ibJxt3DxKPvxx27x681CeCxc+z+EUFL+9lzzTp+bly16pBog49Qed6alH9f1r8Qdxwmw+wypDA244UPhgJasA5I1CDOLLHXXCMWHkYmoWpAAvzp9+/3Hw82bLz8/vfmzuyKdPfnoce3U1h6uTt/9+Hzy8+Hm5NPPb7sv9JWF2tju2vbl54/Ly92nsJZND1/ffPnx9r+7h98Xb79/vy/Te8jlTnlXuDdy+LP/1FWpuDq9/vHlZPddXOf7m8P1+4WwJvo4RwhlXraOposuMN7CCy0B8oVCxw+1zWnpitjijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQAL96/Lrhf/tPVL1/t/t80sXuwT56XDu1jx6u9mtXHx7++3xwUhYOH9b/9+7kT9n08N/+qnT66eHh8GXEhfWo9flyp3wwcoA8Xras4mr//fMfdzbtsnUgHCpX/i8hlHnZWsl12xTjLbxQFCBfKHT8UNuclq6ILe44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBQnw3eXp4eHPyYdPnz7trzv7y1b56HHttKw9fvjh+s/uCrX/U8oeP3r5f+52uPOTH/vL2e472q8f/j7uev/WLlvL9CPk+nyn/Fi4UB4vW0vFw9X+Z57+PLmfl62XGQMfzy8jAiGNUEL4n/IrbWjprwi7l+KO4wTYfIZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiAP36n+u+Tj593f3af3tpftspHj2unZe3xww9vf58cvp+9lNW+djMXb3/++XPy/fCd8B/e7q5m+10fruyytf/3hrvpR8j7y53y02+Zf7xsLRWHW9ivk7t52VoN+vXJedl6PZ9hVgn/U36lFy39FWH3UtxxnACbz5DK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBQnwxzvO3e5WdPizv2yVj5bLlq0tly1btrG2tZu53d+t/j65bN3vPsv18LD/XvzDlxGXq9Qj5Pfu812vXLZ2F7Td94ftNn/aPVwYYfe8/ocQyvwy4nq0G2YZb+GFnAD5QqHjh9rmtHRFbHHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiAHz6h9O5s96XBPz+X79myjw6XLfuofJLqceLX7qdh2aba2MP9ydeH+6snl62Hd+e3D99Odv/i8cPl3X1hPUJuz3fKByMH1PPPbO0ot2e7y9nHs7vdN+fvLluPhBXRwxQhlHnZOpouusB4Cy+0BMgXCh0/1DanpStiizuOE+C+MqQyNOCGD4UDWrIOSNYgzCyy1F0jFB9GJqJqQQL8cMe5f3/y35v/bpbLln10uGzZR+WCdH998t/J7pNRZaE2tvsRDSenb768+fdlxIe7y53E/qtafy/fnPx5RO++jLhAXv0y4vuL/06u7nefcTs/eXO9+9eIB8Ka6OMcIZR52TqaLrrAeAsvtATIFwodP9Q2p6UrYos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEi/P7P7RP+k492Gk8+OtTcLcXVwjPE7n707M/tn5czj8s7yPnds8LnH+zuZX8P3yX28Pepx+dV/z5ihMJg/HPU8Wl+z1bH8LdIa0+clr6lT7Q27jhOQL2m/P/NEttB+x7QklknWYMws8hSd41QfBiZiKoFpfBFLkPj6vDvG+sG9zOHz72tr63NMgwzGGve0ufmZSs9cp+g9sRp6b6OX98VdxwnvO7wyWqGVIbGk5aQxwEtmW2SNQgziyx11wjFh5GJqFpQCl/kMjTe7795fvdd9deHP88/f3W9/FivxU9zYBhmMJpGMwrmZSsjZYKG9sRp6YT2K0TccZxQmTo2kSGVoXGsvyPzA1oypyRrEGYWWequEYoPIxNRtaAUvvveqL3io8byZbzaAWfm082ec3//4/Bn9auNsBIjFAYDNqwsnJctZbpEtvbEaenEGAoq7jhOKGZaDxlSGRqtPl+sD2jJHJKsQZhZZKm7Rig+jExE1YJS+O7nLez+yeHjZevXTa1Nmrnf36y+7j959evw6a0wlxEKgxFuhAGYly1GigkM7YnT0hXxxB3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBS+/+d/u9vWTuPXq9/AXtvaNPN591mz77ufFv/zLPYJrSLKCIXBKIZ6PszLVs/0N2hrT5yWvqFNuDTuOE5INNuWSmynbeZQMaAls06yBmFmkaXuGqH4MDIRVQtK4Tu5t2e/dpetn6cfa2nazO35t4fdTzX9dfqOhGSEwmCQ2olh5mUrll/abu2J09IVIcUdxwlwXxlSGRpww4fCAS1ZByRrEGYWWequEYoPIxNRtaAUvpP7cXr26/Tn6an0W7a+nL7/e/Hr7Mx+UH3d5rYZRigMxjbXoup52RIFy8ZqT5yWzs5iz4s7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEpfC93fn5+enrO+pxT3cDjzMXpxenZKeuriIS/phl/1R/pNXt6XrayE3fqaf+nrKU7W351W9xxnPCqwaeLGVIZGk97Ap4HtGSuSdYgzCyy1F0jFB9GJqJqQSl8L/fl9PL09GL/ffLCP79PT8/Ozmg3OkYoDIYwMRw9L1t4Vl0rtSdOS1cEF3ccJ8B9ZUhlaMANHwoHtGQdkKxBmFlkqbtGKD6MTETVglL4o9zp7q51VQtzZ97vVVhfRZyf2Xr6cuZl62kaAz9r/6espStijTuOE+C+MqQyNOCGD4UDWrIOSNYgzCyy1F0jFB9GJqJqQSn8Ue7D6enlt1qYO3N/tvvcFunfInK+BKgPlpvgUdq8bB2NZqwF7YnT0hVJxh3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1oBT+KHd/enZe67Jnvp/S/i3ivGw9eznzsvUsjnE/0P5PWUtXpBp3HCfAfWVIZWjADR8KB7RkHZCsQZhZZKm7Rig+jExE1YJS+EHu7emnWpc+c3l6Q2MyQmEwaA1FQPOyFUkvca/2xGnpipjijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFpQCt/J3X/Z/WPE0/MvtC/x1S3wVRihMBirvWZPzstWduJOPe2J09KdLb+6Le44TnjV4NPFDKkMjac9Ac8DWjLXJGsQZhZZ6q4Rig8jE1G1oBS++8XQl6fvb75+e396+fxXQ9dGIjN7lW83PBVGKAxGJBPa3nnZokWpBWlPnJauSCbuOE6A+8qQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgWl8If7y/Of9/s/v84vdZ/bKio/SSqMUBiM+nV1mJmXrQ6heyS1J05L9/Tb2hN3HCe0PJb1DKkMjdIQ9jCgJTNOsgZhZpGl7hqh+DAyEVULSuG7H7J1uGvtblunh/9o1w7iM/9UfnJUGKEwGPFoCIR52SKEmIHQnjgtXZFP3HGcAPeVIZWhATd8KBzQknVAsgZhZpGl7hqh+DAyEVULSuEP5+8eP6+1/z/vdf8k8fw9WYURCoNRv64OM/Oy1SF0j6T2xGnpnn5be+KO44SWx7KeIZWhURrCHga0ZMZJ1iDMLLLUXSMUH0YmompBKfzv6bdyDfom+/WIfBVGKAxG/bo6zMzLVofQPZLaE6ele/pt7Yk7jhNaHst6hlSGRmkIexjQkhknWYMws8hSd41QfBiZiKoF+fAfX8qfj6c/ymXrx+nHMs99WFf5EfgeMUYoDEb9ujrMzMtWh9A9ktoTp6V7+m3tiTuOE1oey3qGVIZGaQh7GNCSGSdZgzCzyFJ3jVB8GJmIqgXJ8LsvX36X+9X9n2ef2frzb4H6tK7y+8vnv3W72AwjFAYDcyuumpctccAsvPbEaemsDJ5y4o7jhKd+Xn3OkMrQeLXJenFAS2aSZA3CzCJL3TVC8WFkIqoW5MJ/fL59eo+6e/I9W+/O754uEZ+PqdzdHO4JddOtGUYoDEbLZ8r6vGylxBwX0Z44LT3efU2IO44TaldHZjKkMjSOtHdsekBLZpVkDcLMIkvdNULxYWQiqhakwm/+fdXwcJn6XP414s/Tz8T71XPUUZW/H+/qjoEZRigMBmBVXzIvW/qMKQraE6elUwJ4AYk7jhNeWDr+YYZUhsbxDldXBrRkPknWIMwsstRdIxQfRiaiakEm/MZ+zkO5C93az9na/QSsZ5/zKhWMh+Mqd59cty1GKAxG/bo6zMzLVofQPZLaE6ele/pt7Yk7jhNaHst6hlSGRmkIexjQkhknWYMws8hSd41QfBiZiKoFifDfN/XN6c/l6bubnzfvTi9V37G11zyucvexbrk9wwiFwWg7TaiYl62EkBkS2hOnpTP6f8mIO44TXno6+nGGVIbG0QbXFwa0ZEZJ1iDMLLLUXSMUH0YmompBIvxTfde6v7/9/Pi7EZ9/L9daYWjuuMrfw12hbvy1GUYoDMZrHtPW5mUrLeqYkPbEaemxztd3xx3HCevOVmYzpDI0Vlp7bWpAS2aXZA3CzCJL3TVC8WFkIqoW5MG//zpyX/rzU/lZLRM9pnLj+DeJjFAYjPp1dZiZl60OoXsktSdOS/f029oTdxwntDyW9QypDI3SEPYwoCUzTrIGYWaRpe4aofgwMhFVC/Lg/74B/svX+/vPK19TtHsReVyX+rl8B9nd57rp1gwjFAaj5TNlfV62UmKOi2hPnJYe774mxB3HCbWrIzMZUhkaR9o7Nj2gJbNKsgZhZpGl7hqh+DAyEVUL0uC3/25X17tf0nP94diV6v2/W9mxkmUerFyTurv67/LN4XcFfdn+000ZoTAY9evqMDMvWx1C90hqT5yW7um3tSfuOE5oeSzrGVIZGqUh7GFAS2acZA3CzCJL3TVC8WFkIqoWpMG//S1Xp/1l6/ifq6PXsJd78MqXO+8///fn/vfJ4/3v94+668YMIxQGo2EzZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlrprhOLDyERULUiDfzlceD5fXN7sL1ufd19K/HTz5WL3+P3q/Hr//Vzf355ffrn/cnp2ff33/uvl+bv9z5p/rPn++Jukv5bvsP91fX7x7u9S+fPdxcWH3c+NuNuj91+hLMCD4iL19eJyv7b8efzd1G+vHj863Bbq1o/PMEJhMI47TFyZl63EsCNS2hOnpUf6PrY37jhOOOatms+QytCoGnt9YkBLZphkDcLMIkvdNULxYWQiqhakwQ9fHPz85sv3y/92N6y3u/vT5enbb9/vv775/OPTm1/3X08+/rj5eP/r4urbt9svbz5/f/vf7gr1WPPnZPcTuu7+W+5ru6f3P75//H2ovP/8+ce3y8vdtezN1+9Xe7QB7WJ1kLr+9umk/EzVu5P9xevT6bxs1W9868y8bG1NrFM97X/Kq/619FXJ4GTccZwAt5AhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4I+XrccL0+3+m6Ueb0Dnu8vO4Q717vruv+UTV/svDt79tyu/O/24u2zta+7f7nZ8e7O7ez3++X1y+OeL/76M+Pfk992b3f3pbnfZMuBSvEhd7D682l3wDn9uT77tHr68efxofmarfu0bZuZla0NYPUtp/1NebUJLX5UMTsYdxwlwCxlSGRpww4fCAS1ZByRrEGYWWequEYoPIxNRtSAN/njZ+n2y/9LglV229pefXyfvP338eHX+62T50RD7K9Tvxw/evd1dth4vSN93F61/V6W789MPP+52nMfv7vr78fL8/OR7QRvw8SK1/z+P97p96fsd7/BnXrbqN+2dmZctb3LJ+2j/U171raWvSgYn447jBLiFDKkMDbjhQ+GAlqwDkjUIM4ssddcIxYeRiahakAZ/vGz9evyc1P7zVI83oI+7q8/Pkw+fd3++/Hy8h+0m9leoQ9373RcHL/c19/dnX/7YZWz30e3Xt2/O/iyXrYur779+n3wraAM+7tv/nyL177J1/2b/JcmPZ4818zNb9WvfMDMvWxvC6llK+5/yahNa+qpkcDLuOE6AW8iQytCAGz4UDmjJOiBZgzCzyFJ3jVB8GJmIqgVp8MfL1u3J99395uzpZevwSabdBerxK3vL3ejwweWubrlsfT7/uP9C4L8/t2cfHm9R97uvIO4/E/btccvd6bt/ICteu2xdXu9WH//P7quJddeNGUYoDEbDZs7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyx11wjFh5GJqFqQBn+8bN1fX9zefzl5etm6f3e2+/rh7x/312e/7+923wj/4eLv7f31+d/7m/23xS+Xrb8n+2/JWv78+X53f3v2+VB5d/Ll/vZqd1N7f/bzz4f9t4MZ0MrXLlt79vflG+bnZat+7Rtm5mVrQ1g9S2n/U15tQktflQxOxh3HCXALGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA1+uGz9PT/57/LZlxHvb9+d/Pfmv6/3t9cn/53svqvqz+Wbk99/L0/evNlvWS5b99fl2+N3X2T87+T05O3doXJ3d/vvzec333acN/99fLv7GqQBX7ts3X/ciR0szc9s1W99y8y8bG1Jq2Mt7X/Kqz1o6auSwcm44zgBbiFDKkMDbvhQOKAl64BkDcLMIkvdNULxYWQiqhakwZebzf3v+hch3v76c7e/Gf399dcuSLs716/HOZs4fKO8ffTnl/3LxN3M7b8P7k4ffzyEAa18bfy3a35mq37tG2bmZWtDWD1Laf9TXm1CS1+VDE7GHccJcAsZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbUgDW6XrbWLT3Puz1f79vnjpb++/vp5vf/RXFv/zMtW/do3zMzL1oawepbS/qe82oSWvioZnIw7jhPgFjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEaPHTZOj/bf8fW37eHP08+//XkYvX76uzsevfN8vZnrXptbn4ZsX7rW2bmZWtLWh1raf9TXu1BS1+VDE7GHccJcAsZUhkacMOHwgEtWQckaxBmFlnqrhGKDyMTUbUgDf7uS/jP5/eHP58h0lr12tyX93XXjRlGKAxGw2bO8rxs5eQcVtGeOC093PwKIO44TlixtT6VIZWhsd7d0dkBLZlXkjUIM4ssddcIxYeRiahakAbf/sW62oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPoxMRNWCNPj2K01tRjOz3RkjFAZDk8dG6rxsbQysV7n2xGnpiszijuMEuK8MqQwNuOFD4YCWrAOSNQgziyx11wjFh5GJqFqQBt9+panNaGa2O2OEwmBo8thInZetjYH1KteeOC1dkVnccZwA95UhlaEBN3woHNCSdUCyBmFmkaXuGqH4MDIRVQvS4NuvNLUZzcx2Z4xQGAxNHhup87K1MbBe5doTp6UrMos7jhPgvjKkMjTghg+FA1qyDkjWIMwsstRdIxQfRiaiakEafPuVpjajmdnujBEKg6HJYyN1XrY2BtarXHvitHRFZnHHcQLcV4ZUhgbc8KFwQEvWAckahJlFlrprhOLDyERULUiDb7/S1GY0M9udMUJhMDR5bKTOy9bGwHqVa0+clq7ILO44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUneNUHwYmYiqBWnw7Vea2oxmZrszRigMhiaPjdR52doYWK9y7YnT0hWZxR3HCXBfGVIZGnDDh8IBLVkHJGsQZhZZ6q4Rig8jE1G1IA2+/UpTm9HMbHfGCIXB0OSxkTovWxsD61WuPXFauiKzuOM4Ae4rQypDA274UDigJeuAZA3CzCJL3TVC8WFkIqoWpMG3X2lqM5qZ7c4YoTAYmjw2Uudla2Ngvcq1J05LV2QWdxwnwH1lSGVowA0fCge0ZB2QrEGYWWSpu0YoPox8do/VuapoPrdfaVx+HZu2O2OEwmA4muVvmZctfqYSovbEaemKQOKO4wS4rwypDA244UPhgJasA5I1CDOLLHXXSLwhnd+5HGCboNeMoLZfaRAqo2a7M0YoDAaj+zBjXrbCEeYAtCdOS1ckFHccJ8B9ZUhlaMANHwoHtGQdkKxBmFlkqbvG/5fLFs3n9iuNK1fHpu3OoLPfcMJgNCRyludlKyfnsIr2xGnp4eZXAHHHccKKrfWpDKkMjfXujs4OaMm8kqxBmFlkqbvGc97X/i5uXQ6wTTSf2680mMF41XZn0NlvGGMwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1F0j8Wt/l39dDrBNF6yvUW6/0mAG41XbnUFnv2GMwWhI5CzPy1ZOzmEV7YnT0sPNrwDijuOEFVvrUxlSGRrr3R2dHdCSeSVZgzCzyFJ3jcTL1tUflwNsE+3TZtuvNJjBeNV2Z9DZbxhjMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstRdI+0S8/Bw/cvlANtE+7TZ9isNZjBetd0ZdPYbxhiMhkTO8rxs5eQcVtGeOC093PwKIO44TlixtT6VIZWhsd7d0dkBLZlXkjUIM4ssdddIvGy9/+FygG16+xura1Ztv9I0kaSC7c6gs99wx2A0JHKW52UrJ+ewivbEaenh5lcAccdxwoqt9akMqQyN9e6Ozg5oybySrEGYWWSpu0baZ4weHj5+cznANtE+bbb9SoMZjFdtdwad/YYxBqMhkbM8L1s5OYdVtCdOSw83vwKIO44TVmytT2VIZWisd3d0dkBL5pVkDcLMIkvdNRIvW5+/uhxgm2ifNtt+pcEMxqu2O4POfsMYg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuGomXra+fXQ6wTbRPm22/0mAG41XbnUFnv2GMwWhI5CzPy1ZOzmEV7YnT0sPNrwDijuOEFVvrUxlSGRrr3R2dHdCSeSVZgzCzyFJ3jcR/Qvjto8sBton2abPtVxrMYLxquzPo7DeMMRgNiZzlednKyTmsoj1xWnq4+RVA3HGcsGJrfSpDKkNjvbujswNaMq8kaxBmFlnqrpH2jecPDz/fuRxgm2ifNtt+pcEMxqu2O4POfsMYg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuGmnfeP7w8OfK5QDbRPu02fYrDWYwXrXdGXT2G8YYjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLHXX+O6na9vapvuztVnSHO3TZtuvNKQOmpjtzqCz39BlMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstRd44fvrm2rm2i/LHqFTvu02fYrzYobydR2Z9DZb3hlMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstRdI+1f+e3Uid9sX/Vyf15N+Sa2X2l8Ott3bXcGnf2GEQajIZGzPC9bOTmHVbQnTksPN78CiDuOE1ZsrU9lSGVorHd3dHZAS+aVZA3CzCJL3TV+unFtW91E/JJkzWd9jXL7lab2opnZ7gw6+w2zDEZDImd5XrZycg6raE+clh5ufgUQdxwnrNhan8qQytBY7+7o7ICWzCvJGoSZRZa6a6T9SIWd+scblwVs09VfrK5Vtf1K0yKy1rc7g85+wx6D0ZDIWZ6XrZycwyraE6elh5tfAcQdxwkrttanMqQyNNa7Ozo7oCXzSrIGYWaRpe4av2z/T/xRna+fji7FF96Tfs01sd94U88I251BZ/+ZRv0Bg1FTO8zMy1aH0D2S2hOnpXv6be2JO44TWh7LeoZUhkZpCHsY0JIZJ1mDMLPIUneNtJ9ftVOn/YvBtU5YX+/cfqVZc6OY2+4MOvsNqwxGQyJneV62cnIOq2hPnJYebn4FEHccJ6zYWp/KkMrQWO/u6OyAlswryRqEmUWWumu8+eTatrrp9mJ1mjPJMrr9SsPx36Zsdwad/YYwg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuGmk/LHSvrvzZD6xPm22/0rhydWza7gw6+w0nDEZDImd5XrZycg6raE+clh5ufgUQdxwnrNhan8qQytBY7+7o7ICWzCvJGoSZRZa6a/z+wbVtfdPV7/V5xizr02bbrzQM9whjuzPo7DekGYyGRM7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyx118j6hNGjOPMnpFbdnN9XU56J7Vcaj4pnz3Zn0NlvWGEwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1F3j77eubeubmN9tXylccz5ttv1KUzkRTWx3Bp39hlsGoyGRszwvWzk5h1W0J05LDze/Aog7jhNWbK1PZUhlaKx3d3R2QEvmlWQNwswiS901/r10bVvf9PN6fZ4y+/mGgtl+paHIApDtzqCz31BmMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstRdI+tboR7F71i/U2etFdJ3l22/0qyZUcxtdwad/YZVBqMhkbM8L1s5OYdVtCdOSw83vwKIO44TVmytT2VIZWisd3d0dkBL5pVkDcLMIkvdNd6zfg3Oo/oF6ce8r7VC+hzc9ivNmhnF3HZn0NlvWGUwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1H0jlB+Kfv8DrXTUnd86NlVbtl9pKoRoYrszxrtjMESBbMPOy9a2vLpVa0+clq4ILe44ToD7ypDK0IAbPhQOaMk6IFmDMLPIUveN53e+fau7pN8h//77qubGye1Xmo0C7vLtzqCz3/DDYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKn7xkvmV/5+Kb9DnvPzV7dfaXy5bt+13Rl09htGGIyGRM7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyx133j1x7dvdRf3O8BeSPyl/Dag7VeaFzZkH253Bp39hl8GoyGRszwvWzk5h1W0J05LDze/Aog7jhNWbK1PZUhlaKx3d3R2QEvmlWQNwswiS903Xv/y7VvfRb26vZSgfPv99ivNSxuqj7c7g85+wy6D0ZDIWZ6XrZycwyraE6elh5tfAcQdxwkrttanMqQyNNa7Ozo7oCXzSrIGYWaRpe4bud/T/umrzwW068M3qOz1ou1Xmtd5vNXtzqCz3zDIYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKn7xo+MG0yR/vGuPPIfvjPg2680/EbWidudQWd/XazMMhgF1vNhXrZ6pr9BW3vitPQNbcKlccdxQqLZtlRiO20zh4oBLZl1kjUIM4ssdd/46ca3b32X9Mea3p8Rfj3i9ivNeqf82e3OoLPfMMpgNCRyludlKyfnsIr2xGnp4eZXAHHHccKKrfWpDKkMjfXujs4OaMm8kqxBmFlkqftG8k9ruGR+v/3Ljhg//GH7lealC9XH251BZ79hl8FoSOQsz8tWTs5hFe2J09LDza8A4o7jhBVb61MZUhka690dnR3QknklWYMws8hS942cH6hQtD/elEf+A+OLlNuvNPw+1onbnUFnf12szDIYBdbzYV62eqa/QVt74rT0DW3CpXHHcUKi2bZUYjttM4eKAS2ZdZI1CDOLLHXf+OO9b9+RXZTvqzrCfrg/i/8E1u1XmmNu2PPbnUFnv2GTwWhI5CzPy1ZOzmEV7YnT0sPNrwDijuOEFVvrUxlSGRrr3R2dHdCSeSVZgzCzyFL3jb/f+vYd2XVH/V2LL0Xex7+bf/uV5qUJ1cfbnUFnv2GXwWhI5CzPy1ZOzmEV7YnT0sPNrwDijuOEFVvrUxlSGRrr3R2dHdCSeSVZgzCzyFL3jaTf71zE31J/blfBHh5+xm+G2680LzzIPtzuDDr7Db8MRkMiZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlrpvZP/Q9y+ffT6wXZe/sbrjVduvNMdZ3JXtzqCz3zDJYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKk7RyhAnP37Cq/dXnnzYfue5zu2X2me79d9tN0Z49UxGLpMNpDnZWtDWD1LtSdOS1fkFnccJ8B9ZUhlaMANHwoHtGQdkKxBmFlkqTvH8/g3nT9TPr999iH3g/uw2+1XGm4Hx2nbnUFn/7jg4wqD0ZDIWZ6XrZycwyraE6elh5tfAcQdxwkrttanMqQyNNa7Ozo7oCXzSrIGYWaRpe4c2b/OkPJLdY728jH6+4C2X2mOeiEvbHcGnf2GSwajIZGzPC9bOTmHVbQnTksPN78CiDuOE1ZsrU9lSGVorHd3dHZAS+aVZA3CzCJL3TlyfxP1wwPjh2Edb+XPxfE1aGX7lQbCEoq2O4POfsMZg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuHLm/ifph98OwCL9U53gv72+OryEr2680CJVRs90ZdPYb1hiMhkTO8rxs5eQcVtGeOC093PwKIO44TlixtT6VIZWhsd7d0dkBLZlXkjUIM4ssdefI/eWIOxPvvjudQNv+XMTuctuvNJAtQtF2Z9DZbzhjMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstSd45ft/5F/Xek792fSvxR7H/uuLXa3L+35P97uDDr7DUMMRkMiZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlrpzJP9yxIeHO+3XEf+ehz61tf1K48x187btzqCz3/DBYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKk7x5/vnBuPbrv+cXSJsfAh9Kmt7VcahmeEsd0ZdPYb0gxGQyJneV62cnIOq2hPnJYebn4FEHccJ6zYWp/KkMrQWO/u6OyAlswryRqEmUWWunP8Q/8ppN/CP3n01VZuQz/Ja/uV5lUzxMXtzqCz33DIYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKk7x7tz58aj28RfR3z4EvmmsO1XmqN9khe2O4POfsMlg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuHaEEN8G1/x7x4eEi8Muut19pNrUeKN7ujPHmGIxA07yt87LFy1JK0p44LV0RTNxxnAD3lSGVoQE3fCgc0JJ1QLIGYWaRpe4dQ1+VWxXV/lzTh4efl6uy0OT2Kw2EJRRtdwad/YYzBqMhkbM8L1s5OYdVtCdOSw83vwKIO44TVmytT2VIZWisd3d0dkBL5pVkDcLMIkvdO7J/X8/+55qSf9/iy9be+b9HfvuV5qW46uPtzqCz37DLYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKl7x3c/vTuP7vtwc3SJsnB7/tfL2X6l8Spt3bfdGXT2GzYYjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLHXv+PGbd+fRfb/eHl3iLHxz/xPK7VcajuM2Zbsz6Ow3hBmMhkTO8rxs5eQcVtGeOC093PwKIO44TlixtT6VIZWhsd7d0dkBLZlXkjUIM4ssde9I/xHyOyMXf7xuwH3vtl9NDmTvPtBXoGy7M+jsNxwxGA2JnOV52crJOayiPXFaerj5FUDccZywYmt9KkMqQ2O9u6OzA1oyryRrEGYWWerekf4j5HdGvnzyugH33Z07r3PbrzSgo3DZdmfQ2W/4YjAaEjnL87KVk3NYRXvitPRw8yuAuOM4YcXW+lSGVIbGendHZwe0ZF5J1iDMLLLUvSP/R8g/PNzSf3jXy+5+XPp+a8/2K81LZdXH251BZ79hl8FoSOQsz8tWTs5hFe2J09LDza8A4o7jhBVb61MZUhka690dnR3QknklWYMws8hS9478HyG/c3L93WsH3ffB93Pqt19pUEPRuu3OoLPfsMVgNCRyludlKyfnsIr2xGnp4eZXAHHHccKKrfWpDKkMjfXujs4OaMm8kqxBmFlkqXtH/o+Q3zn5ce21g+67v3J9Y//2Kw1qKFq33Rl09hu2GIyGRM7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyx193jm+4Lc63r8H5X6Uu+v69u2tl9pXuqqPt7uDDr7DbsMRkMiZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlrp7vHT/0KpXJD9/fmWRs+T6tq3tVxqO2TZluzPo7DeEGYyGRM7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyx193gd+FWDR0VvzxWfL3su98nxG6m/KW6Wz235Pvr9Y/M+6Ow3qAxGQyJneV62cnIOq2hPnJYebn4FEHccJ6zYWp/KkMrQWO/u6OyAlswryRqEmUWWunsU/FTTnZd3rm+p2tbE9fZPn93dbJNIq97+ia0H6Ow3GmAwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1N2j4qeaPjz8cv+Qd7yRu4vt/+jxyP3s76++n/K6n5ct/L2vVc7L1loqA85Bf2O7fWvpbluvbIw7jhNesfd8KUMqQ+N5V82PBrRknknWIMwsstTdo+Knmu7MXP52O4I3/jnfLLL25br7L+enp6fnX/Rf+Tza2RfH7+6Gzv5RxcMCg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuHn9pfkzDjeM7qjb38PPiduuez9W15vby9P3Nz2/vTy83w7aKH6v/uf1TdA/zy4hP05yXradpDPwM/Y3t9q+lu229sjHuOE54xd7zpQypDI3nXTU/GtCSeSZZgzCzyFJ3j38v3Vtf23iv/+kPO/mvV1s/HXX/6YXr+8uzn/f7P7/OnD+W/gVw+4e/brbvmZetZ5nNy9azOMb9APob221fS3fbemVj3HGc8Iq950sZUhkaz7tqfjSgJfNMsgZhZpGl7h7vz9xbX934+dOry6TFj++2gm4/Pf/c1pfT04+Pl62Pp6eH/2RvJUbrv924CNDZb5AZjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLHX/eP788uEHPd+Z8dMfdorvPjyXbX90//nZj1k4f/fx8bb18fTTe/nvdFxx9+fT5m88O1Cgs78i+HSKwXjK6/Y8L1vdot8mrD1xWvq2TrHquOM4AXO6q8qQytCAGz4UDmjJOiBZgzCzyFL3j1d//Htf2/nh62urrLX7t9s/HfX78035x4d/T7/d729bu7vW/bfTMs2y1+Dcfvvs+XatRyp09hv6DEZDImd5XrZycg6raE+clh5ufgUQdxwnrNhan8qQytBY7+7o7ICWzCvJGoSZRZa6f3z/7BM9fs7LnX8uXs5IPr67dPxIr7vvX5Y/H09/3O9uWle7u9b9j9OPNp00fgt8Tz509huRMxgNiZzlednKyTmsoj1xWnq4+RVA3HGcsGJrfSpDKkNjvbujswNaMq8kaxBmFlnq/vGz6jNQ79yftNnUzO1F5La4/8zW/f3V6dXu/+Z/ZmtToy+KobP/Ys/LDxmMl8wuH8/LVpfYt4tqT5yWvr3b9o644zih7XKpyJDK0IAbPhQOaMk6IFmDMLPIUvePNx/9e1/d+Uvz7xwrzT/nkd84dP7u8Jmt3XfJd/meraoddAI6+w0Yg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaXuH39u/gd9qNZ15FNOqMiu7vf2H276j/759Of++7V237f1s9O/RvznZdMTdPYbRAajIZGzPC9bOTmHVbQnTksPN78CiDuOE1ZsrU9lSGVorHd3dHZAS+aVZA3CzCJL3T+KftDWzlDG7+x57Pvnuf872+8vT/ffr7W7bZ32+jlbvncHnf0GmsFoSOQsz8tWTs5hFe2J09LDza8A4o7jhBVb61MZUhka690dnR3QknklWYMws8hSD4xQiC7+9U/Xtu2bvm//UfJF5Nvp6bubnzfvTk8d32lfKPkPjNfGYOR3vqI4L1sroYw4pT1xWroiz7jjOAHuK0MqQwNu+FA4oCXrgGQNwswiSz0wBi4qDdVfbxsFtOWbS/9PC/v++fC7EXO+n5/WMnT2G2oMRkMiZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlnpgfOv8qZqA5NvIt64D/H8lX6/8t63787+//F+H/Och9wk6+w1LDEZDImd5XrZycg6raE+clh5ufgUQdxwnrNhan8qQytBY7+7o7ICWzCvJGoSZRZZ6YPyg+5RO3qe2Hj5v/jWJJbLvsn8iUCQED9DZb+gyGA2JnOV52crJOayiPXFaerj5FUDccZywYmt9KkMqQ2O9u6OzA1oyryRrEGYWWeqB8cvhv1QBwvGtb7O+a+vh4dPbrb+U2my/P/LNWl9vrGLEETr7DeMMRkMiZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlnpg/L751wviYmn/IHFn6eM17uvD0wvm2ZGvQL57jwPzK6Gz37DFYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKkHxt/Kb2N/m/Sztvb9f8C/HPj2yQXz57FL2rxsBU5V7tZ52crN260G/Y09KN1t65WN8TzihFfsPV/KkMrQeN5V86MBLZlnkjUIM4ss9cB4dx7Y3Nqa+amth/ftT0X9eXdx+f726+nZ9fXtw6/dBx/vPtw8fLm4/Pb4RcMfby+uH/+9wH5mXrZab3eY9XnZGuZVvG4E+hv7dcQrq1r6K8LupbjjOAE2nyGVoQE3fCgc0JJ1QLIGYWaRpR4Zz7zf7ISIvtV9+30t/+7JJ6zq1f3Mfx9+/vj09/fF2+/f7x++fPn54/Ly/PbTfzc/3p7ubmo3b778/PTmz8PDlzdff1ztZ8b9A539hn0GoyGRszwvWzk5h1W0J05LDze/Aog7jhNWbK1PZUhlaKx3d3R2QEvmlWQNwswiSz0yXu1uF7I/vy9k6BXwdeO29ffk9nHXvy8j3p1cPby5eXi4/293tfpv/0u53+++Grl/uH8zL1srEQ85NS9bQ76W2hT0N3a9DZzR0kETm8rijuME2HCGVIYG3PChcEBL1gHJGoSZRZZ6ZHwv/eTT+5uIt417768bv1b7/Ozj/h9IHi5bd5+uzs/ffPhzsv8pW2/fP/w5+fDp027u4e/jzNW8bG2Mv1v5vGx1i36bMPQ39jbkk2ot/YkQ7THuOE6Am8mQytCAGz4UDmjJOiBZgzCzyFKPjJ8P/6mKIF7Z+/dC+VXKl8L3bz+9nHr28f3N9Zuzv8tl6+Ltzz9//rspl63fJx8/7/583d269p8Au56XrWfZDfzBvGwN/HKeWoP+xn66YdOzlr7JClgcdxwngFYfHjKkMjTghg+FA1qyDkjWIMwsstQjo/JnP+x8ffocMbd17/3bltz9+cfDZet2//mr7/99vz/Zf2pv9x1ad48Pu+f7k/0/ojybl62t6feqn5etXslv1IX+xt7I/Feupf/T4T3FHccJcDcZUhkacMOHwgEtWQckaxBmFlnqkVH6sx8eHu50v3xxreu7q1c+UXe7+xri3dmXhw+Xd/e7K9XXh/vzN98f3p/9uv2w/w6td2e7b1/7s6u5vrh7+HoyL1trAY84Ny9bI76VFU/Q39gr+7ApLR3zsK0q7jhOgB1nSGVowA0fCge0ZB2QrEGYWWSpR0bpz37YGfva+D6qiPeVvXeX+29zX//z57+T05Pr+4e/l29O/uyuU6dv9pet+3dv/vu4/26v+/cn/7357+bh4fbi5L+r+WXE9RAHnJ2XrQFfypol6G/stY3QnJYOWdhYFHccJ8CWM6QyNOCGD4UDWrIOSNYgzCyy1EOj9Gc/7JxdKP+5Y9353eVNPWkzt3+e/Lz4+z+/L23h7PGKdv/n9jDxd/9N8yP/gc5+owEGoyGRszwvWzk5h1W0J05LDze/Aog7jhNWbK1PZUhlaKx3d3R2QEvmlWQNwswiSz00Sn/2w87Z9+uQvc2bb1+7bT2nfdl/h9fvmz+/3/2X+X38z024PoLOfoPMYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKmHxg/Sn/2ws5b5S3v2SdxeHPnd0lVMV/ufF//n6uzsevTPZL20Dp39l5tefMxgvED2+XBetvrkvllVe+K09M3NAhvijuMEwOahJEMqQwNuOK/tjZasnJQWhJlFlnpo/HL4b1WI8ermf1+se7WMt/j3Ars//k39kau8/nYk6Ow3FBmMhkTO8rxs5eQcVtGeOC093PwKIO44TlixtT6VIZWhsd7d0dkBLZlXkjUIM4ss9dD4Xf7P7t4f/571kPOjm/+eQ78B++uno4TRF6Cz32iCwWhI5CzPy1ZOzmEV7YnT0sPNrwDijuOEFVvrUxlSGRrr3R2dHdCSeSVZgzCzyFIPjX+uQtuBzX/Pl+87B2o5JX/O9z8pvvXn7a9WxbDr0NlvuGcwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1EPj/VloO7L5i/yTZy9d/D5vX6Ruz1/u+v/5GDr7jXYYjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLPXYmPBjRy/bV59YD9Vu4LZ1k/sTwCqLkQno7DcEGIyGRM7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyz12HiNfMktJvGz/ECrGGfD7t/nre+ST+h7g99tpdDZbyAZjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLPXY+Okmth/Z/f7wH0SklFXz9/LTq6g7/ZdPX9UPLUJnv6HAYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKnHxowvp92mf4/8/tfvXL3247O+pX8jWew1PdsNnf1nO+oPGIya2mFmXrY6hO6R1J44Ld3Tb2tP3HGc0PJY1jOkMjRKQ9jDgJbMOMkahJlFlnps/JXxI96/vouZdO3+dv7Kjzd9B/14CJeufhN09hs2GIyGRM7yvGzl5BxW0Z44LT3c/Aog7jhOWLG1PpUhlaGx3t3R2QEtmVeSNQgziyz12Jjzr/Kuetxt/l69f/LLEJ/FdK/+nZDP1NgfQGe/IcpgNCRyludlKyfnsIr2xGnp4eZXAHHHccKKrfWpDKkMjfXujs4OaMm8kqxBmFlkqQfHs2MXkiD32fZfF11+/eCXYz/f9HuPT7U9SyTyAXT2GwIMRkMiZ3letnJyDqtoT5yWHm5+BRB3HCes2FqfypDK0Fjv7ujsgJbMK8kahJlFlnpwfLv/FYHyPx/2v/U5/8+fI5/cet/6x4r5VjcoQme/wWMwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1IPjx1e+symIfrL97vzPk48SH7+s/RCI+5RP58m6hM5+Q53BaEjkLM/LVk7OYRXtidPSw82vAOKO44QVW+tTGVIZGuvdHZ0d0JJ5JVmDMLPIUg+ON5+CAGz7N/nvBTri48/b6+r3Bf3I+FcBR/wQpqGz39BhMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstSDY8o/R9x5fJf9C6lLLjfnL6U/pHw2rxhgP0BnvyHKYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKkHx5x/jvjwcHv+2s+9Cjbx+vbbd1fPvzHtPOMfBbzuKbIKnf2GAIPRkMhZnpetnJzDKtoTp6WHm18BxB3HCSu21qcypDI01rs7OjugJfNKsgZhZpGlHh2zvn/p29uoU//+Hxcfn/xzyJ8dnfh7+LcTOvv/ylefGIxVcPbkvGxlJ+7U0544Ld3Z8qvb4o7jhFcNPl3MkMrQeNoT8DygJXNNsgZhZpGlHh1z/jnizuX1TdSqf//9pyffKP/x5ZcV/dwuO6Gz33DGYDQkcpbnZSsn57CK9sRp6eHmVwBxx3HCiq31qQypDI317o7ODmjJvJKsQZhZZKlHx5x/jrhz2fELiTv13TfK29cxO/z2oOhLerYfOvvPdtQfMBg1tcPMvGx1CN0jqT1xWrqn39aeuOM4oeWxrGdIZWiUhrCHAS2ZcZI1CDOLLPXomPTPEXc2b/r+I8Bv558fv5b4u9c/jIy+KdsPnX0rPjIyGEfQudPzspWbt1tNe+K0dHfTr2yMO44TXrH3fClDKkPjeVfNjwa0ZJ5J1iDMLLLUo2PWP0fc+Xx7EzUb2n/34WL/a4M+Hf77HEJ13Qyd/YZDBqMhkbM8L1s5OYdVtCdOSw83vwKIO44TVmytT2VIZWisd3d0dkBL5pVkDcLMIks9Ot6dRwnw/r+9v4D3+2r3tcQL+3Ii7HuwQujsNzwzGA2JnOV52crJOayiPXFaerj5FUDccZywYmt9KkMqQ2O9u6OzA1oyryRrEGYWWerhMfEG9LXvFxJ3Ud2cf7gMJ9YZAJ39hkcGoyGRszwvWzk5h1W0J05LDze/Aog7jhNWbK1PZUhlaKx3d3R2QEvmlWQNwswiSz08Xv8KI2BA5y8k7nzeXZ39X/9ixF0L0NlvvBIGoyGRszwvWzk5h1W0J05LDze/Aog7jhNWbK1PZUhlaKx3d3R2QEvmlWQNwswiSz08fkr8SQh9/0XiY1SX366uO/2ixvCrOgCgs9/QYjAaEjnL87KVk3NYRXvitPRw8yuAuOM4YcXW+lSGVIbGendHZwe0ZF5J1iDMLLLUw+O3D2EEDuj2OxLN4t+Lh4dv55/+n3+GPHT2rd8jI4NxBJ07PS9buXm71bQnTkt3N/3KxrjjOOEVe8+XMqQyNJ531fxoQEvmmWQNwswiSz085v4ohPefw4ZDgC+fdtt3P+P0//jXI0JnvxESg9GQyFmel62cnMMq2hOnpYebXwHEHccJK7bWpzKkMjTWuzs6O6Al80qyBmFmkaUeHu/PwogNgLuLxG8RW/G1/JrEP9cvfl/iSumoU9DZb5hnMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstTj42Xqz0L4efHk1xTGzW8k/Pu92z8uPtxu3DxIOXT2G14ZjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLPX4+H7/oz7z/nx6n6dVKX39WKbuv5x/6XnvK0a2PkBnvwFlMBoSOcvzspWTc1hFe+K09HDzK4C44zhhxdb6VIZUhsZ6d0dnB7RkXknWIMwsstTj45fkb6O66vj9Um9/Psnr9sPF/+OPgYDO/pM21x4ZjDVu+ty8bKVH7hPUnjgt3dfx67vijuOE1x0+Wc2QytB40hLyOKAls02yBmFmkaUeH3++izO2EP6ep37d8qm1lz8u//fV2/+/HwMBnf2nXa88Mxgr2PypednKz9ylqD1xWrqr4camuOM4oWHx33KGVIbGv46gpwEtmW+SNQgziyz1+Pjv+5jiLIjQ7+c/1D/m4tv5x/+3HwMBnf3Gi2AwGhI5y/OylZNzWEV74rT0cPMrgLjjOGHF1vpUhlSGxnp3R2cHtGReSdYgzCyy1AnjWfZ14/0ngmsP4rr+9rT7z+eJP9XVY/rlHujsv9z04mMG4wWyz4fzstUn982q2hOnpW9uFtgQdxwnADYPJRlSGRpww3ltb7Rk5aS0IMwsstQJY+Yv7Hm0e39RX3oIfTQRd2dr3xH/930nO02/6wXQ2V/fWmYZjALr+TAvWz3T36CtPXFa+oY24dK44zgh0WxbKrGdtplDxYCWzDrJGoSZRZY6Ycz8hT0Hu78Tf/v1k4C+H/mHkL/+r36DD3T2n3S99shgrHHT5+ZlKz1yn6D2xGnpvo5f3xV3HCe87vDJaoZUhsaTlpDHAS2ZbZI1CDOLLHXC+D3zF/Yc/N68JfjejHh39B8f/j996xZ09hvZMBgNiZzlednKyTmsoj1xWnq4+RVA3HGcsGJrfSpDKkNjvbujswNaMq8kaxBmFlnqhPHPJQGyEdHj27buV7+KeDC++9atw3+3N/bRoRw6+w1fDEZDImd5XrZycg6raE+clh5ufgUQdxwnrNhan8qQytBY7+7o7ICWzCvJGoSZRZY6Y3zlEsLArzHuL/O/bevHqz/j4vb9/8lP3YLO/lrmT+YYjCe4fo/zstUv+03K2hOnpW9qFCyOO44TQKsPDxlSGRpww4fCAS1ZByRrEGYWWeqMscfvCfyT/9O23jd+murup279ZsQpZkBnv+GBwWhI5CzPy1ZOzmEV7YnT0sPNrwDijuOEFVvrUxlSGRrr3R2dHdCSeSVZgzCzyFJnjB9vGJSNjG9Xa/80cCNkU3n7R1x8/3/4hYnQ2W8Ew2A0JHKW52UrJ+ewivbEaenh5lcAccdxwoqt9akMqQyN9e6Ozg5oybySrEGYWWSpM8Zv/35jIAMHMj4kf1/+z+u2sf+HX5gInf1GqwxGQyJneV62cnIOq2hPnJYebn4FEHccJ6zYWp/KkMrQWO/u6OyAlswryRqEmUWWOjp+Xv+XeF9vHh6+fL7CKF92X4fb/7/VP0cXnlfvBQ9/7q/22q/hji4e37ZDH9uFff5u2y9M/NeNdbWMexPHjLy28gKz9taenP2j8i8w1YfGOG6x2jLmxLxsjfleKld24qoFyoSWTrH4AhJ3HCe8sHT8wwypDI3jHa6uDGjJfJKsQZhZZKm/GD8c/uvzYnb34dX6Z6/e7X701LsPZ3X92szb3eei9v/v5Z9H0XfrAi9r94LLn9vz3w9Hd72qdXzbDr1HrsWA/myv32+vfpnF1vikm+elfvvPOGtv7cnZPyr/DLLygTGOxr+yZ8ipedka8rXUpuzE1SuMGS2d4fAlI+44Tnjp6ejHGVIZGkcbXF8Y0JIZJVmDMLPIUn8xrt2FHkvW/rO9Wzj85/oK+3XMx24QR0VfmNt/+PR+8PPidqXiMBXTWnH0C//RXj8u3oO/K/tpN89aidkvqLW39uTsH5UvgCMPTxhHKv5Ppudl6//kRWlPnJauiDjuOE6A+8qQytCAGz4UDmjJOiBZgzCz6OHh9+5zRHfXuy9Xff/08PDr3cXl7lcqfz09u77e3WB+vL243v3Lus/fvl4un0m6+vj14vJm/65urs7fPd4lvlxcftv/5/rLzcdvtuPPjvN+B3j88+Pt+dX+FwfajnKDWPC7TfuCg+iXPdwqP3+7uTyo7U3Y8yL4z/jbt4+71sQqrYPY0uBTsX/8R86unbUYLt99/XJx9fNQsvp/D80cIvt6dn4IaffhIbbyYEk9WHwH2Ius/PafeStvbXm/+zBPD8Ga/LM39mxz9YFBdv+WezkD/+Kviv8/JuZl6//jPYl/egD034Ohkoo7jhPgQDKkMjTghg+FA1qyDkjWIMwseni4Pfn78P1k9wNJ3+6+bvbly88fl5cPvy/efv9+/3Dz5svPT2/+PFydvv2+/Dyrq9PrH19Odlezr2++/Hj7391uy5uvP65Od5ettx9uPtqO/z78/PFp+bTOzcmnn/vvnS877AZhxUvBQXS/WCqvTt/9+HxyuNqUZxN8Yvz9uX1V8qXYS62HQ8HS4FOxwl8O4m6tiuHdj4//Xb//8eHNru8jfxYDh8i+vnl7drEPqcRWHqx56+aA49l/Zq+oLu935+fd6WOwRf7pG3u2t/7AILvL6HIG9jn+X/+Zl63/k9cH/Y3t7kVLd9t6ZWPccZzwir3nSxlSGRrPu2p+NKAl80yyBmFm0S71s68PH96f3D+8We5Tdyd/lm+p+m//+aj37x6uzu3lPFztvy/r4+7j//b/fTr9tHvYFd2/ebxs/b5advw9sc9q7Yr++7z7P/vRdtgFyPBW8Pif7P3/KZVXF7t9V4f/kpfnIvjP+P2ZfXHPWIZ4qWVuHrUe27TKwn80e/iuskOV+dxX/D7d/5z8/3a3zSN/FgOHyHbsv+9Odz8EtcRWHgxaunnk8ew/s1dU97P797tr5fQxWJN/9sae7V3/YA95+G//v5/9GTjktF75fzE7L1v/F69J/XMxof8eDJVU3HGcAAeSIZWhATd8KBzQknVAsgZhZtEu9Q/XD2c/L3782t23Hu4+XZ2fn/w4/Nfzz8mHT592E4frzu3Nzc3fh6vdrerh58n93/1/bB/ev334u/vE2O4y8XjZeji1HednH3efj3rc8uex8mFXuOx4hO/+82x4KziI7hb+VT7es3b+9n/s+Z/gE+NXZ7/WxfbXgCdaO9G9C7sePBUz/uPyUrHfXXw+Ovh8vvsc3cPx38lj/EfaoZG3Z29/W2wlP2u+dMO2b208jkXe3u/O3un+xRf5h8Mbe7br2AcG+Xuy/9/P7gwc3tyx8v+H+XnZ+n94SzuP0N/Y7l60dLetVzbGHccJr9h7vpQhlaHxvKvmRwNaMs8kaxBmFu1S//7f7Zv7jx8+7z9lc/H2558/J98P//X8ffLx8+7P18M/Qfx1dbX7XqXHS8Svk7s/j3esD1e7q8j+k1jXh8vWpe24v7l+c/b3ccvvx8r9nWV/K9vteITvrjGGt4KD6OPNyCofv7H7w+GzVvb8T/CJ8bfX5z/2/oxVxPbXpSdaO9E9264HT8WM/7i8VOx3F5+PMVxefNpNHb9sGf+RZi6+X5zt76i72Ep+1nzpZj0rv/2d3r8/9tbK+93Z21223j55e4c39m/LK092SP48Xrbsjb6yYfyledka/x09OoT+xnb3oqW7bb2yMe44TnjF3vOlDKkMjeddNT8a0JJ5JlmDMLNol/rdye6/lz/Prz4dvn9r99mO5bJ1t3t4/PN4c1ge9z9L6+bNw/3u018PD7tvmz887C8Tu4vBhzf/fgzX/ePngPb4w1zZYZctW7CxXLb+VT69ANnzP8EnxnffL/b4k+SNVRDLbcXmi5vHa9ResVQa/9BnuRL+a2B/2fpzeflpV3D8smVCj7TCvj8//bz/Frjd5+eW/KzuXzd73eezu3T99ve48sdU99/m9vh+d/YeL1vP5O2NlW3rDwVy/3jZ2v/TiUOa6+X/F7PzsvV/8ZrmZ7Zevibov2AvNz37OE54hnvtgwypDI3XelxZG9CSuSRZgzCzaJ/6xcnn3Z3jZPdToe5Pvj7cX+1uRx8u73ZfVHx3tvua25/dp7P2Xzo7/Nkv3p7tPn63+3lT3052/1Tx+mL3rxdPDv/F/XZx2HG7+xri3dnhv2AHyg5ediw3iIJ/lNkVPIruF0vlo/CLz2z9E3xifLfr47u9Q2MZ4qWWFRwafCr2VGtP2q9VMXz53LhsGf8Qmbl4uDq5Pv+yj+1ffku2Jb69pu0uCfjtP+Ls/5hqeb87e4+XrRLmszdm29bHAnl4d7qcgb3N/+s/87L1f/L6oL+x3b1o6W5br2yMO44TXrH3fClDKkPjeVfNjwa0ZJ5J1iDMLNqn/nF/Z7rcfdpl9+8AT07ffNl9eurv5ZvdNzfdvz/5781/N88uW+8v/jvZfxLp7nK3tv9v1O3FyX9Xy5cR/1wedvz57+T05HpXtf9zf33y38nuS4Flh90gDG8Fj6L7xVL59AJUnovgE+P7Xdf7b8Q3liFealnBocGnYoX/aPpw2apiuPrdumwtBh5pTxrZxfbf6e5TfFeWnzX/r5u1rPz2ly4OQ1G197uzd7hsmfyzN/Zsb/2BQR7uTpczsLf5f/1nXrb+T14f9De2uxct3W3rlY1xx3HCK/aeL2VIZWg876r50YCWzDPJGoSZRZa6jfd/livSYeL+z62tlPHv4bueHm6t1CZ2FWf3y47bP3dlw8PdQik7bMnwVmDz/9hl5unDE8En03eXj/9G0FgvxUyruClbX1aWhfJge//u/3Vk648ZeKxb2LvLzd/dt7Bd/358OBAKdMnzMGu7X5qyao/9PXnJ7N/7tbNvYT57Ywcvx/5vgZy+dHlsx+jz87I1+hta/Nmp1djV0hWe447jBLivDKkMDbjhQ+GAlqwDkjUIM4ssddL4dvfVwG5//p6r1b9+cjZ3+ETXw7eL8gPBnCDeNujsN+QYjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLHXSuPunix3//Dp/9kkivhP3XfLxS5w7P/cXZ7vvlB/iD3T2G04ZjIZEzvK8bOXkHFbRnjgtPdz8CiDuOE5YsbU+lSGVobHe3dHZAS2ZV5I1CDOLLHXS+GP3jfK73/JDom3GfN99s/7+z5MvYW5mrG94JN6ery9umb37eH6zpV5R+3glfTz7/sspg6Hozcecly1fbum7oL+x3a60dLetVzbGHccJr9h7vpQhlaHxvKvmRwNaMs8kaxBmFlnqpPHxOvJ19/32nf58efv4eaPlZ9YTTdw+/nLHDwzi33eX3W6jB/83+y+37s/+rxt3QwyGW5y+cV626JFqgNDf2G5pLd1t65WNccdxwiv2ni9lSGVoPO+q+dGAlswzyRqEmUWWenw8fCf97gdC3O5/o0+vPx8eP7V2xv9S3dmuv+vdT7TY/ZDTQ6eBDn9dve13H935vtt/c9vu7P86938KkMEIREjeOi9b5EBVOOhvbLe4lu629crGuOM44RV7z5cypDI0nnfV/GhAS+aZZA3CzCJLPT7eftpfQt7/eHiH/JO9uN4RwvWn3Y8G2/+QBfKf87e7nxy2Y95+YHwX/veL9+UreP4Lj7vF67Nfu8vWr9OPbsLu5klgBOS5W+dli5unjAb9je1W19Ldtl7ZGHccJ7xi7/lShlSGxvOumh8NaMk8k6xBmFlkqRPGP+cfdj/e9NPP/S9e7vfn/urrwzeBhavTn992nzX7zPoXj1/PPy23rN/8m2Er/m+nZ79Of52elgtfa8PKOoOxgu0zNS9bfXLfrAr9jb2Zahu0dFNhjnHHcQLcT4ZUhgbc8KFwQEvWAckahJlFljpj/HF6+uX324vTGwbMzbi9+P7plP91xHenF+++fz87ZXxe67G3u0/nyz/dPIvceXw5nV2en56dxW7FDIbPPX/XvGzxM5UQob+x3cpautvWKxvjjuOEV+w9X8qQytB43lXzowEtmWeSNQgziyx1ynhzerr7b/jud7j0+XP342b364Ue/p5fnV7RP1u0u8CdXZzy7lp7o+8vHm1eXPK/xazxBj6dvj87vYhdHBmMhs205XnZSos6JgT9je2W0NLdtl7ZGHccJ7xi7/lShlSGxvOumh8NaMk8k6xBmFlkqXPGT7vryCkUKkfvJeXvx7OrjzffT0+vYp+0ecndfXxztm8tdj2psL/fXu2IH04p/8qxor8ycb/r5ezylQJgicEAZFJK5mUrJea4iPYvFy093n1NiDuOE2pXR2YypDI0jrR3bHpAS2aVZA3CzCJLnTS+2922gv8Njzn5e72/E+1uEuxPFv0431HJd61dqz8u3/35dn5G/0RcK8V3u/f0+NuNWoWvrDMYr+Azl+ZlKzPtgBb0N7abr6W7bb2yMe44TnjF3vOlDKkMjeddNT8a0JJ5JlmDMLPIUieN95dn+Z+mee79/uP+c1D0ryP+3l22+HetnfWb83e7r71mf9vW7e4rvs9z2/4Rg7FdVbJjXrYksfKh0N/Yblkt3W3rlY1xx3HCK/aeL2VIZWg876r50YCWzDPJGoSZRZY6a7w9P/32K/vm8NL8zfnp+e7riH+JRv7uvvv/8adsvdSKf/zzcnc5XL5ti2n5dWeXp59eLwBWGQxAJqFkXrYSQmZIQH9ju4W0dLetVzbGHccJr9h7vpQhlaHxvKvmRwNaMs8kaxBmFlnqrPH+4+7mcHr+hf1VvI3+fl2dfd5/3Y9j5P7LnnWmaOru5vLiavepuLPdt20dZDiWX8+LocRgvO4ycXVethLDjkhBf2O7BbR0t61XNsYdxwmv2Hu+lCGVofG8q+ZHA1oyzyRrEGYWWeqk8fby9Ppm9wOpTi97/ZPEpZGdkfffSEb2rJufnwVN3X3eXwjP9l/3PPvOtPz663xs6GvsLTEYr7vMXJ2Xrcy0A1rQ39huvpbutvXKxrjjOOEVe8+XMqQyNJ531fxoQEvmmWQNwswiS50z3l+e/7zf//l1nv/jDJ62UIz8jBspLElTt39+fvvy8fry/OxiyY5g+WkU9TOjIQajdtZtZl62ukW/TRj6G3sb8km1lv5EiPYYdxwnwM1kSGVowA0fCge0ZB2QrEGYWWSpc8Yvp4e71u62dXr47xeHu5nyz8jPsJF/LGlT/2Till/P65+SvyEG43WXqavzspUat18M+hvbjdfS3bZe2Rh3HCe8Yu/5UoZUhsbzrpofDWjJPJOsQZhZZKlzxvN3j5/X2v+f9+F/7BaxdP6eZySpKabl16NjNMRgvO4ydXVetlLj9otBf2O78Vq629YrG+OO44RX7D1fypDK0HjeVfOjAS2ZZ5I1CDOLLHXK+Pf0W7njfAv94r2gHaYRJuuVtpJkdg4YSgzGK2GkL83LVnrkPkHob2wferdLS3fbemVj3HGc8Iq950sZUhkaz7tqfjSgJfNMsgZhZpGlThh/fPl4+qNctn6cfvzS7Q/TCJP1SiBJMjsHDKUXjB+d//Fp+PTOy1Y4whwA9De224qW7rb1ysa44zjhFXvPlzKkMjSed9X8aEBL5plkDcLMIks9Ot59+fL7/s+zz2z9KRev9AemESbrlSCSZHYOGEovGL+/fO79s9ViB3hetmL5pe2G/sZ2u9HS3bZe2Rh3HCe8Yu/5UoZUhsbzrpofDWjJPJOsQZhZZKkHxx+fb3f/Gb978p08787vXrlaiJeYRpisV9pOkiG9pcrt3c3hvhI8R722z8tWr+Q36kJ/Y29k/ivX0v/p8J7ijuMEuJsMqQwNuOFD4YCWrAOSNQgziyz12HizfPnwc/nXiD9PP79ys5AvMY0wWa80niSzc8BQqhl/P93FDlHP3fOy1TP9DdrQ39gbeM9LtfTnWpyP4o7jBLiTDKkMDbjhQ+GAlqwDkjUIM4ss9dB4Yz/w4dZ+ztbuZ0XtP9XV7Q/TCJP1SiBJMjsHDKUVxt3/8W1rXrZCfwHkbYb+xnbb0dLdtl7ZGHccJ7xi7/lShlSGxvOumh8NaMk8k6xBmFlkqUfG3zflDvHn8vTdzc+bd6eXHb9ja++GaYTJKknVD0kypHBW3N59ipyirnvnZatr/Lg49Dc2jntRqaW/EKN8GHccJ8CNZEhlaMANHwoHtGQdkKxBmFlkqUfGT08uDreHX0n4+C1cT6bzH2lGdt969tea0n4bGs1yM+3bT4+/ODL0lkoo/9T+Hu4skbPUae+8bHUKfqss9Df2Vmip19KLDPEh7jhOgNvJkMrQgBs+FA5oyTogWYMws8hSD4zff/37z+3+6c+P865fQixu/pwSPr32/eLu78Xd/Z+fO9bdxb8fbVFUiA9/L37vZfR/bs/vHhsKKP25uLs7fen25v/13yTOy1bgL4DMrdDf2G5DWrrb1isb447jhFfsPV/KkMrQeN5V86MBLZlnkjUIM4ss9cD49BNbh/96v//3dcXAf87DW/+ehxH3Xy5+3b8v3+v/6/zfT21dZX8Odf6hjnJVJTz59d8P2Hey7t5+va/zvfscOEc9t87LVs/0N2hDf2Nv4D0v1dKfa3E+ijuOE+BOMqQyNOCGD4UDWrIOSNYgzCyy1P3jbX2/+PHW+Z9w7rbfV1He3Yerv/e/dp/Ysj+/L77a4+p4/WF1Gpv8k/YZwUv7Fw2YsZWqL9f39yv5fvk//emm87Ll/wsgdSf0N7bbkZbutvXKxrjjOOEVe8+XMqQyNJ531fxoQEvmmWQNwswiS90/3vyt/lt8d57yxbBK98XEj92FIPTn9u273T3r7dPPZv291H326f2XkFt8889LvHa98vf+Da/k+/uH/yD13DkvWz3T36AN/Y29gfe8VEt/rsX5KO44ToA7yZDK0IAbPhQOaMk6IFmDMLPIUveP5WtsT/6z/Glt8sl6zuNN5NNMO4t/Lj/t7lrfn39+7Pbqw27y/v7TzZeLy+/3ny+udt/H9fPdxcWH/Teqfd594uvTzdeLy9c/AbYHVH9+p/0Y2A8Od8/s3l3tP525lu/h1uI/TZ12zstWp+C3ykJ/Y2+FlnotvcgQH+KO4wS4nQypDA244UPhgJasA5I1CDOLLHX/uHav+v3kK2/P/iud+sGX2Cehfp7vbxR3Fy++5HZ3vf901/3uZ1x8/3Dy7t3392/+3n/+/OPb5f7TRW933wx1eXr97dPJ9m+lfxe9AqHh3p5F/wHD/ouI9/dr+c7L1rb/JUF/A3VHbjOgrBbk9cSulv5EiPYYdxwnwM1kSGVowA0fCge0ZB2QrEGYWWSp+8e1y9b91YsbCnoPoNZ9DN1evp0/9vD13UtPd++vd5eVy4vd/OnugnX33+Gb1v6e/F4uW/uVq92ta9ufp98atm3n1uqbzd5eKPw5fJl4Ld952dr2vyTob6DuyG0GlNWCvJ7Y1dKfCNEe447jBLiZDKkMDbjhQ+GAlqwDkjUIM4ssdf+4etn6GvwK3ov/uvs+fP/0m622Ij5f7O5Ou5+2fv44PNt99/Hq9v5y3+HFx93/Of98//fj5fn5yfflsrVfeb/53whc1//QYMdR/Nl/4TP0Z/cvEfd/1vKdl61t/0uC/gbqjtxmQFktyOuJXS39iRDtMe44ToCbyZDK0IAbPhQOaMk6IFmDMLPIUvePq5etv+GvVIVuA4fN1/5Prz3+M8Q95fPqrfHz5d/Lj7vVx++W3122Lq6+//p9srvbPX4Zcb+y+bL1M+0rr+HvDbt5e7fr8P5+Ld952dr2vyTob6DuyG0GlNWCvJ7Y1dKfCNEe447jBLiZDKkMDbjhQ+GAlqwDkjUIM4ssdf+4etm6fxf5rNLjf8rj/+ey/qQUCL09fF/W7mfHn9f/1nLP2H0L/MfdsFy2Hr+CGLxs5X1iK/qvF/7aJ/vW8p2XrW3/S4L+BuqO3GZAWS3I64ldLf2JEO0x7jhOgJvJkMrQgBs+FA5oyTogWYMws8hS94/rl63v0R+7sL/SBP8cuSi1qbtPWx0+d3P/8dj32N+c7r/xabls3Z18ub+9Cn1mK+8TW+Gfy/HO3vhavvOyte1/SdDfQN2R2wwoqwV5PbGrpT8Roj3GHccJcDMZUhkacMOHwgEtWQckaxBmFlnq/tH+0/v8DnO39l/i5yXqj+5OlxvTVqHf5/ad9a/8mNGLs90XKe3LiF9O/nvz+U3ky4h5n9iK/sTZ75dLrKv5zsvWtv8lQX8DdUduM6CsFuT1xK6W/kSI9hh3HCfAzWRIZWjADR8KB7RkHZCsQZhZZKn7x/XL1v2HrJ/QefQqVf82maOlzxZ+nO++0/3w58OR5varP86ffJ/57a/dP1AM/Mn7p4j3wd+l9O9HYazmOy9b2/6XBP0N1B25zYCyWpDXE7ta+hMh2mPccZwAN5MhlaEBN3woHNCSdUCyBmFmkaXuH4/cR+I/pTxwd3nc+nv3cxkcf27Oyy/WfuUTWzvwz3+XMofM8y3v0v4pYvSHbH0qPzdiNd952dr2vyTob6DuyG0GlNWCvJ7Y1dKfCNEe447jBLiZDKkMDbjhQ+GAlqwDkjUIM4ssdf945LJ1f/jRCc/vFKkf/dz80xf29j5f7H4RzfKn8ftzfrd+LbVxmmPiJ7Zuqp8b1nT3tOD3vy8Pr+Y7L1vb/pcE/Q3UHbnNgLJakNcTu1r6EyHaY9xxnAA3kyGVoQE3fCgc0JJ1QLIGYWaRpe4f331Z//P27fp82uz7S4fU1cXnsuvj2b/nMvn04dPZseafVgHPlyQOIHXxHig6XnLxz+lqvu/9B6nnzsMd8WSxkHhjhP4G2paMALnNgLJa25yWrsgl7jhOgPvKkMrQgBs+FA5oyTogWYMws8hS94/H/sv098LPpOy8+bQZc//u3f2/Te+//ntef7q9bJasb3w+u/vup+cTuo9uz0Ps72//bV/N99hp+LdtyKd52RrytdSmoL+x623gjJYOmthUFnccJ8CGM6QyNOCGD4UDWrIOSNYgzCyy1P3j0f+8Xv3yQxk7vxx1dox+d/XxydKfi/YV6O7q85Md3scPlCsbpH7ztENox9Oi+/M//z5czXdz5v94PZ/mZatn+hu0ob+xN/Cel2rpz7U4H8UdxwlwJxlSGRpww4fCAS1ZByRrEGYWWer+8eh/XmP/Xfcbsp2fbuwJHP9ePOvlPbL/7uoTSD9edpv3ia2H2A3409Or2mq+zxI83vJoK/OyNdobOeIH+hv7yN72tJbe1t9eEXccJ8CuM6QyNOCGD4UDWrIOSNYgzCyy1P3j0f+8Br9i5Xe07Hz/Yxti9/3uTzf8wa5A92+fXkCeAuDnT4zPjmFqsa/t/jm/eyKzmu/R0/Bk44CP87I14EtZswT9jb22EZrT0iELG4vijuME2HKGVIYG3PChcEBL1gHJGoSZRZa6fzz+n9frjbcdv4fVndfbvoz58/znM0z7O7YO5ffXH/7H3pkoN47zWjjTWZyts3aS7iz2+7/llcMgMWUROlgI0f9lV83QFMFzPsBSyPIiZ/PEnY9sCyOeLppwb9rXXWa70cn6ls8GEWd0cN9sRVdc6Qf9xVZqbzZ11dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6vq2vLz+Wfaraec7ny+aT+/p9F8WJPjQ+pUtz3vzS2MZONtZiWoykno+zw5M1rd8NmRzW+v0zVZrz0iBB/qLXZg7f7iu+ry/PMJObFeAqSOsIjzghFNgg0iUgRMaJNODqOr6try8fpys9bL2maIXjB7O3nLHG8GH1q93v8OYywC905EzMEUb8rrSztzOO8u3o5P1LZ8NFufqc/tmq3qJfQygv9hqq7rqaixmop3YrsDg5UMRVhEeeVazvQaRiNkJDZLpQVR1fcssr1dPeln7TOjJ/bK5PX/PDWUfWv99qd9WRr7+d2d5F/Fh9ALeZH2ZsyEvcFu9vtlq6/ko0kyedMVo6UBddSkNEm8ntisgnJ8xEVYRHnDCKbBBJMrACQ2S6UFUdX3LLK9PV3pZ88z1CS6xv1m6ZdKa0L25UO+2VvnrRRPifocs7yJ+nOb70en6ysrml5lRqW+2jAWMmg79xVbD1FVXYzET7cR2BQYvH4qwivDIs5rtNYhEzE5okEwPoqrrW2Z5XS/5PuIb/JbZev9DV+IPrd9qd1svO7cJ1T8J2EzTu4g3oyd6ur6jIIxr+ai+2Vr+OYAIoL/YkNJUUF31KUfrMTuxXQHOIcIqwgNOOAU2iEQZOKFBMj2Iqq5vueX1esH3Ef+hu5iPiZs33N1KC3J7vntbBHx25Fc2Le8i7t3idbq+3NmAFyU8sm+2wkuuM4T+Yuukh1l11dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6vqWW16XfB/xBXwP8321/0Gm9egtM6Q6d6rd1r/IHzU6M3wXMb/tw1CQ6fpyZwNSxYVi+mZrocJLbaG/2FLR7/i66t82jg/sxHYFOJ0IqwgPOOEU2CASZeCEBsn0IKq6vuWW1yXfR3zCbn/1dva4n/sDNjefeLdSvLb1e8I9l/XrWd5FHN32YYCari93Nvhl4q7UN1vuJa0jCP3FVlvXVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iqutbdnld8H3Eyd9J3kvz9XTqnU7dS0D38t3WB3ab+j1s1QHLu4ir/I6vg/90fdmzQUUdMqlvtkLKbDeB/mKrbeqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9S27vD6NbhegtxHPvENulPX3dOou90+XYrfPCQ+r/At78yr3t/MxbhGG7yL+2a/IdH3Zs8EtE3ehvtlyL2kdQegvttq6rroai5loJ7YrMHj5UIRVhEee1WyvQSRidkKDZHoQVV3fssvrgu8j3mS/LTOd3/Pp5E/6qH+tWbzbCryh6cbwu4jr0f1Mt9Wcri97Nkw/CS0c7ZutFp4FgAH6iw3oTIfUVZ/2tB21E9sV4AwirCI84IRTYINIlIETGiTTg6jq+pZfXpe7r+nk7yTnaT6dTn5i/G/+szT5HL4n3G2FfoHg4ZZnZ0bH9zPdhk7Xlz8bGItlh/pma9n6w+7QX2xYbRxYV33s5tG3E9sV4DwirCI84IRTYINIlIETGiTTg6jq+pZfXpd7H3Hyd5KzNB/HP9HzNXo59TGubGa583gmeSfxfO+TUGVl84j69brNx9QLcNP15c8Gcw61BPpmq1ZlnXWhv9hqz7rqaixmop3YrsDg5UMRVhEeeVazvQaRiNkJDZLpQVR1fcsvr8v9PuLk7yTvpll6FerVdDcGyW7rH3zf1V1u5eP3U+XEzeb2dmLqdH35s2FCpo1DfbPVxvMwSwH9xZ5VKQXUVS+5Wo7bie0KMH+EVYQHnHAKbBCJMnBCg2R6EFVd384sr5E37cySmHuJqXinht/IJ+szq6xT2sNlQakTed+HzePNBAF06H3yJ6en6ztzNkB+CwT1zdYCRddYQn+xNcKfc+qqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9e3M8vpHc8sqPc3PzJmfCrop3YPU/FocvNsKve/D5lL9luX4h3pSjafrO3M2/Dw9bT3qm622no8iDfQXuzh7bqCu+py7ZtxObFeAuSOsIjzghFNgg0iUgRMaJNODqOr6dmZ5Nbx7pWcaZk7/TvK35O/ibxk+qF8BInF0t2V3Ikeg/RD8Lncu9z55L7BCfWfOhly5nV7fbLXzXLAk0F9sVoEbrKvOOWvH7MR2BZg9wirCA044BTaIRBk4oUEyPYiqrm/nllf957L1TMPMd/aTV9eX65K67oammRq423JwymzZjv6bCr8nn+FCfSdjWbAmBvtmq4mnYR4C+os9L1OIqKteMDUdthPbFeAEIqwiPOCEU2CDSJSBExok04Oo6vp2bnkNvW/nTxqvzP0b1lfle60+79++80cUfQTdS/6FIUSN8LjfwG3HJtXeJl/Y2hTqO3c2TFosf7BvtpZ/DiAC6C82pDQVVFd9ytF6zE5sV4BziLCK8IATToENIlEGTmiQTA+iquvbueXV8ot8eqrN3/KmaX3JfI7M5wP9yG7rWrv9UVVl8kPuiFLh+wKF+s6dDYjjAjF9s7VA0TWW0F9sjfDnnLrqaixmop3YrsDg5UMRVhEeeVazvQaRiNkJDZLpQVR1fTu7vBbuZqV3hGY+F1+8Wl8wn8qy3ffhh2x+tzX9UagfBd9Hfy+UeoUXtjaF+s6eDUqMytP6Zqtygb3kob/YarO66mosZqKd2K7A4OVDEVYRHnlWs70GkYjZCQ2S6UFUdX07u7ze2m6loCT7U9pRfZzfMpI3XrD3pW87knns26vqJ6HwwtamUN/Zs4HSb6vtm622no8iDfQXuzh7bqCu+py7ZtxObFeAuSOsIjzghFNgg0iUgRMaJNODqOr6dnZ5Vb+oomcaZj7cTU//OC8MfIZ/nHxMT5MfvTsvfgb/Uyz04/Eb7Y9Ql17YKtV39myQFzJiRt9sRVTZwQP6i632qauuxmIm2ontCgxePhRhFeGRZzXbaxCJmJ3QIJkeRFXXt/PLq/rjQnqozeZu+iWqj3OW95H5NJeU5rZ4d4mt0ov2fT0pxme8+keoSy9slerLVleFHjKpb7ZCymw3gf5iq23qqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fXt/PJ6bfitQTXXzeTHzz9WPO7qn9pwf+JN+TP6w+84T/Lti/gc0d4+vvjC1ma6vhu+vD7JVFDpm60KRa0hCf3FVhvXVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iquvb+eV1kZvI/57a4b2vpl/vouydf6zw9xUJ77Xm+9TvKbIHtN+xnL55/NZqsr6bvtlin4b9Qegv0P407kgFSc4udqxucnXVa1TKTmxXgPOKsIrwgBNOgQ0iUQZOaJBMD6Kq69v5zdYiN5G/mvh1mrm91sb7xwqvi1+J9Hy/cv65W0//ts7sxI/yO8BT9R305s+GWdMlAvorW0tUXeEJ/cVW6KYpddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Flhezz3fnANJL/Y9388e+clrv4/HfxldlT4DFntf/RfuDU2mJne3xcGJ+m5jgbOhKLngQN9sLVh8iTX0F1simMXWVc+snDp2YrsCnEqEVYQHnHAKbBCJMnBCg2R6EFVd3wLL6x0QoweYnrl6Gx+f3WttKrzcdDl9Bwqv23mNcyz0lTd+WJ++FwQ3m/36foYu8EwXEQUDfbMlKNaSodBfbDVgXXU1FjPRTmxXYPDyoQirCI88q9leg0jE7IQGyfQgqrq+BZbXJW7+sPcG2NvZ7EfSK7zctL64nSrtLVC1qXnKY8obP9xP7xQ/Ifbqm9Bi81KWY39a32zt16TJI9BfbDV5XXU1FjPRTmxXYPDyoQirCI88q9leg0jE7IQGyfQgqrq+RZZX5UeG9FCbzfipBfZazh+PT/Tryft6ne697mbJdW6u8kNza45yXN8vBuRsmMNdYLxvthYousaycNpppCbm1FWfMDQfshPbFeAkIqwiPOCEU2CDSJSBExok04Oo6voWWV6vnvX6upnrk3ze+/zrWhu3u8dn1h/n+9+AdPm168yF7Si/DvpY/Hj/ZjOuL/kjZwPFNtT2zVZDTwaHAv3F5gTYsbrqrLVy0E5sV4DRI6wiPOCEU2CDSJSBExok04Oo6voWWV61t3nSU72fZXORvZb/x+MTwsf+Pi/2Jlsb5Y3Ozva/Y/Bd1FF9v48jZ8N3cDsP+marneeCJYH+YrMK3GBddc5ZO2YntivA7BFWER5wwimwQSTKwAkNkulBVHV9iyyv6huYq7Fez3enzn82foh+Kt8Va1dL/vj9bPTCnvZODHLrNEP3JcvnC8Yvr+9PIHI2/EQ386hvtpp5KngQ6C82L8GM1lVnjNVDdmK7AgwfYRXhASecAhtEogyc0CCZHkRV17fQ8sp8rU3vzM38t7tTeF89crFfY1dTt0EF5s2HvJ7+zYKemPfnskCfzr9s4wlrsjdCzeq7IwmdDTvxjTzsm61Gnog5DOgv9pxIcbyuetHWMGAntivA+BFWER5wwimwQSTKwAkNkulBVHV9Cy2vhfuN613nZr7svEz1MXPf+KT1ccr/cPScIzf+7zR7Ry74I2wPtxxbaYy/O8VufXcVoLNhd0Ibj/tmq43nYZYC+os9q1IKqKtecrUctxPbFWD+CKsIDzjhFNggEmXghAbJ9CCqur6FllflR7T1VE8/dxPF9lqbqp8re9n9Yl/wT/VsLidupj9fWf7rAjv1zaSgsyGb0USnb7aaeBrmIaC/2PMyhYi66gVT02E7sV0BTiDCKsIDTjgFNohEGTihQTI9iKqub6HlNfxDW3++bxH1cQ4RbircZGunqE9nP/cHrXDv1B2n/YeqG2988B/0+qlv7ofVOp/TQK9vthp4EhAE6C82IjQZU1d90tJ40E5sV4BTiLCK8IATToENIlEGTmiQTA+iqutbbHnd2WvorQQzH+6+gj8m73O1r8S/a7YfLz3yuPqgKReqV5potrjV3VKWu6HpgPBd3xEOdjaMJi3f7Zut5Z8DiAD6iw0pTQXVVZ9ytB6zE9sV4BwirCI84IRTYINIlIETGiTTg6jq+hZbXqM/tHX3dXOr6XuKTmR7R7uziTGXQ/fnX58JU95iVA1xr8rsjL/tKtV3TIWdDeNZi/f7ZmvxpwADgP5iY1ITUXXVJwzNh+zEdgU4iQirCA844RTYIBJl4IQGyfQgqrq+xZbX6A9t3aTf5in8Ws5EtjObi4kZ0kO3X1+QfPh+h1OqoIu/yL8KiYk8zfx09Vd998Sws2Fv2tIH+mZr6WcA9If+YoNa+2F11ff97EfsxHYFOIsIqwgPOOEU2CASZeCEBsn0IKq6vsWW1+gPbX29klb4Hej9bP/qbo+wL8Qc+Z3u+FD3w2F7/rqbes291Vl6pRI7G/Yglz7QN1tLPwOgP/QXG9TaD6urvu9nP2IntivAWURYRXjACafABpEoAyc0SKYHUdX1Lbi8Bt9p6+rzc1HX8A2t+O/e6auTzby8HbrR7yL+nXmNKiOkzuzeONWXwn9a8Gz4mdDGo77ZauN5mKWA/mLPqpQC6qqXXC3H7cR2BZg/wirCA044BTaIRBk4oUEyPYiqrm/B5TX43lIX2xtb3ezcbGsmwZC94Hr7M4lVbzExkaXqI1u3c8/qZ32n3CaOHcChvtk6gCdpiwj9xVbnUlddjcVMtBPbFRi8fCjCKsIjz2q21yASMTuhQTI9iKqub+eW5S9l1Zqvpzp/3WxuL+DblEa8izgks/3hHt1dr/SVUPnN7j239Z36B54NU1OXPNY3W0tWX+AN/cUW6OWhddVzL5+endiuAGcSYRXhASecAhtEogyc0CCZHkRV17fg8qp6N0tPNdxq4vvrf4DK7deXF4FQU8jr6cuJSUA+WXOXrfmfiSzdygM8G+Rp1J3RN1t16+umDv3FVrvVVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iqutbcHldx24yTj92bmw1n9zuDd7now0Rf0/wtzYNNj9TVT+MyP4s4qf26fddw36sto/AsyGftHyvb7aWfw4gAugvNqQ0FVRXfcrResxObFeAc4iwivCAE06BDSJRBk5okEwPoqrrW3R5XfE3btIDTM483r1l+2TE7sGgdxG3luez79Dtgtkfa34Y8e101rd05aBnw6xBbEDfbMXWW+1WOu/UgtnEuuqZlVPHTmxXgFOJsIrwgBNOgQ0iUQZOaJBMD6Kq61t0eS3dLEDvzMxcH4teq4p6F3GzWZ9I3t1kMkSHrp/RyJ+4+Ru8Fl+nRM+GH7MmHvXNVhNPwzwE9Bd7XqYQUVe9YGo6bCe2K8AJRFhFeMAJp8AGkSgDJzRIpgdR1fUturyGfgvv+bjwAe7pPOvf0ZR8n682t5p7MdB8cat5IW1+o/pReu0LPRvEedSd0Ddbdevrpg79xVa71VVXYzET7cR2BQYvHyVrwHoAAQAASURBVIqwivDIs5rtNYhEzE5okEwPoqrrW3R5VX14SIn1enommRmI9nu4s/31bwmcLXb2hlkT8s/zu8G31cS87SH0bChMX+pw32wtVXmhL/QXW6j5E15X/cfH75Gd2K4AZxNhFeEBJ5wCG0SiDJzQIJkeRFXXt/DyGvcJ+fezB9EN4e/gHPRl+pq5/WD5+iLou4+Dp+Znkq6HDeHMv9dSfeMqOUMoG+6bLVm9FouG/mKr6eqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9S28vJZuzaS3Lsxcrx5lN5pYid5zLLhCh9NraB/D7baC/t08io2Q3/cp1hc+G8RYVSf0zVbV8vqJQ3+x1XZ11dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6voWXl7DPiF/ebd5kdxgIfAHdL5u7fp6GrW9U+xwn4DfOCrWFz4b9CdcjZl9s1WjqhU0ob/Yat+66mosZqKd2K7A4OVDEVYRHnlWs70GkYjZCQ2S6UFUdX0LL6+amxBosLa/9/wk+VhU4Ef3L/6mjJ7PCvep0iTMzCl+a5CZg/ywUrG+8NnAACww1DdbCxRdYwn9xdYIf86pq67GYibaie0KDF4+FGEV4ZFnNdtrEImYndAgmR5EVde38PJafOtJ7z0182778e4/N1NDhWPI7qIwVXj44/tzaw8Xwqm68H9ymw/klvPF+sJngy6fWrP6ZqtWZZ11ob/Yas+66mosZqKd2K7A4OVDEVYRHnlWs70GkYjZCQ2S6UFUdX0LL6/F2wXovSdmPq62P4j4cDcxVDiEfEapMFV6eOcdut+S196kPt/xj7ffD9EHjwhYsb7w2YDixMT1zVZMnc0u0F9stUtddTUWM9FObFdg8PKhCKsIjzyr2V6DSMTshAbJ9CCqur7Fl1fNLZ+kXC/pR/vucarNy/ydDqQUpfjtjR/oX8hXEhWfk7t4IUKmLdZXUHdGPnyob7bCS64zhP5i66SHWXXV1VjMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+hZfXi+RZVwPsp357+uT53eCmysovrCnhdzdboZ8JVH+G0nYtwWK9cXPBm0Nq8zrm60qZfUXhf5iq23rqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fUtvrzW/1Gct7Ov/dzNzktIc6nF3T7+NbsVaMBXEn8+IzZXhO/xB+jTbsX64mfDt2MLD/pmq4VnAWCA/mIDOtMhddWnPW1H7cR2BTiDCKsIDzjhFNggEmXghAbJ9CCqur7Fl1fNDTZFXOsV7bEEb5/lOyCRnzR49H3M+l9JVLxDev71fUk+t2J98bOBNwge7Zut4IJr7aC/2Frx/jaiunLQxLpPXkKI8ICS/QlqEIngnNAgmR5EVde3+PJa/Vdxhhtsff27wt+xHO2ASKFGO34f9b72p8W+buslyAV7F3FTrC9+Ngig6of2zVb9Grs4QH+x1U511dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6voWX141N32ScN3+3Mn0Enp95lM87sYPm72bKlzfSvKTx16L71QPfRdxsynWFz8b5NlUnNE3WxWL6ykN/cVWG9ZVV2MxE+3EdgUGLx+KsIrwyLOa7TWIRMxOaJBMD6Kq61vB8pq+Kai34mf+Od/e9CH9u/hHj2bbk5jbiw4c+6/srVdPs3yWAPnn48GtZ7G+grPBkpj33L7Z8q5oJT3oL7bau666GouZaCe2KzB4+VCEVYRHntVsr0EkYnZCg2R6EFVd3wqW1+KbT3r3n5l/d7dy+K/U7O+AfiSdH028YflW9Xd75C8lovccK9ZXcDY4V9ck1zdbpvLFTYb+Yqtx6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWB5rfl1xPfT3RezdjdefGoTOyB+gn506lWj5897sOo12ZnyjeQz+CmyYn0FZwOLHjzYN1vBBdfaQX+xteL9A/LqykET6z55CSHCA0r2J6hBJIJzQoNkehBVXd8Kltfij7zo3Wnm+py+iPh55BR+b3BqB0Sizu0k1N3PB82c7YQ/WvTpjt5zbDKVrYLgbHBP1yDYN1uG4kVOhf5iq4HqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtYHmt+OuI1/ntofY+il7ML+4jW4V7TFS8k/ztYzHtwsDuXVcLIZ+Hi/UVnA2cfvRY32xFV1zpB/3FVmr3O8irC4dNrPvkJYYIDyzb76gGkYjNCQ2S6UFUdX0rWF7B+wooWMa/6ww9sVsf+TttCro05THfD5LO+9nu+5901KUtfmewpA5Xo1hfwdlQgljieN9sLVF1hWfxxFNo7U+pq77vZz9iJ7YrwFlEWEV4wAmnwAaRKAMnNEimB1HV9a1keS2+IKK3/5z592z0tuEJKhj4ka3rwjcP9+BR9tk48at28H25ivWVnA2z/HEBfbMVV2uTE/QXW+1QV12NxUy0E9sVGLx8KMIqwiPParbXIBIxO6FBMj2Iqq5vJctr8UtsevvtzL0Xhz5OUcHIj2y9F6DuK31s6/2sYFg8fA6+yFaur+RsKGLED/TNVnzNVY7QX2yV8nZSXXU1FjPRTmxXYPDyoQirCI88q9leg0jE7IQGyfQgqrq+lSyv8ptsQlwXj6MwfJshfvFn5IR3GaZLwc9m44abF+kmDv4pxXIukrNBkErt0L7Zql1hJ33oL7baq666GouZaCe2KzB4+VCEVYRHntVsr0EkYnZCg2R6EFVd30qW1zr3fri9HtO/Zb/4PB7d6cOBO3OUD5/3KL+F3uvcbUv8Fukzujsrl01yNnznv/yDvtla/jmACKC/2JDSVFBd9SlH6zE7sV0BziHCKsIDTjgFNohEGTihQTI9iKqubyXL6+Ot3qc4c+JWVa/nxeh84Ol33q/Yu2MKNZGCA8lNdjcMQBDeC5fryyQJACwW0jdbi5VeZgz9xZZJ7kTXVd8xcntoJ7YrwMlEWEV4wAmnwAaRKAMnNEimB1HV9a1keWVe3VEDTL0s9O8ClIO3F6AeEzb+Feos9LbGpk/8ZUT0I1ubcn0lZ0NWgWU7fbO1bP1hd+gvNqw2DqyrPnbz6NuJ7QpwHhFWER5wwimwQSTKwAkNkulBVHV9K1ley6+I6P0vJl6/gW/odYH/YLWeMM0s3gf0c/hc/JPR8zzF27wXpuK/7lOur+RsKGAscbhvtpaousIT+out0E1T6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWR5LX+wWu1/N/VRKPij4bXuRbGfzkzqr/xebF9v/gi+d/rSegF/q2fDfPRecjbMpxAW0TdbYaW2GUF/sdUWddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6VrS8QgWXsEzfpAp9u7JwU3cJABo79+HzB/TD6ajhRvwyIvepsty1XF/R2ZCLLtnrm60lqy/wdv8DknnXVc+snDp2YrsCnEqEVYQHnHAKbBCJMnBCg2R6EFVd34qWV+/Xb9Znk+8DljcDeZ5/anxUKreg3uxOZurtUJqsap+mXvPjlPD3VMv1FZ0NHEzsWN9sxdZb7Qb9xW5UXY3FTLTXw67A4OVDEVYRHnlWs70GkYjZCQ2S6UFUdX0rWl6972p6fTcJjn7JEP3d5UkT2cGrl5n4N/R3CWd0vofvRc/MZiN427FcX6HnN+zCD/pma+EnALWH/mKjYntxddX37BwO2IntCnAaEVYRHnDCKbBBJMrACQ2S6UFUdX0rWl7FX5DjuZ4Lt3j4M/0zhHti8Nfv9maKD8xvpR7hj0xh5r8LPw9Uml3+1PvejHJ9RWfDnu5iB/pma7HSy4yhv9gyyZ3ouuo7Rm4P7cR2BTiZCKsIDzjhFNggEmXghAbJ9CCqur4VLa/SDQCP9XH2Oh2A3s+r+BN/07KGo8hvcF8Id0czOBfgb++QDPzDiJtNub6is4Gcl2/7Zmv55wAigP5iQ0pTQXXVpxytx+zEdgU4hwirCA844RTYIBJl4IQGyfQgqrq+FS2vt496o/2Z1yXvh+l3F8cK5RuhjyPNfeRlozffT7RJ1QS/pVSub+kZMRewrkDfbNWtr5s69Bdb7VZXXY3FTLQT2xUYvHwowirCI89qttcgEjE7oUEyPYiqrm9Fy+ud568Alt5E3GzAjyuVP+etL0dh5iPyxua96+f1oZN7B3f1ttPhH5brKzobeJPI0b7Ziqy2wUt6Usus6qrLWLBoO7FdASMdoiKsIjzghFNgg0iUgRMaJNODqOr6VrS8ll8SkQMU30TcbMA9nSfNDD/2kt5q7lP0My67w9KX7QSfj2fqKzobdnGXfdw3W8vWH3aH/mLDauPAuupjN4++ndiuAOcRYRXhASecAhtEogyc0CCZHkRV17ei5bX8yWo5wE35vUJsa7P5PXHzeTkHNGP2y4ifKn/RH9AGPJE3Lndlyj/BsxuVHpfrKzob9oWXOtI3W0tVXugL/cUWav6E11X/8fF7ZCe2K8DZRFhFeMAJp8AGkSgDJzRIpgdR1fWtaHkt3zNADPDvbF2cU94MZFOkHyHPJss64Ht0135vs0pLLdkHl+srOhtkJawZ3TdbNavrqA39xVb71VVXYzET7cR2BQYvH4qwivDIs5rtNYhEzE5okEwPoqrrW9HyCv+OzjzPOfOW2w32klXcj/VswO89vs/fIWK+MilC+h6p5J5j5fqKzgY0lfpxfbNVv8YuDtBfbLVTXXU1FjPRTmxXYPDyoQirCI88q9leg0jE7IQGyfQgqrq+FS2v0ve2ylgP3P3RsTtMfJyW5Z1H4A9QPbh9Rr68IZrOTfIyX7m+orNhGmSJo32ztUTVFZ7QX2yFbppSV12NxUy0E9sVGLx8KMIqwiPParbXIBIxO6FBMj2Iqq5vRcur5INBLNIH+xIQdhcDv50fi7odnPtlxB+BlfDuWD8zR4+wT4n9TJK8zFeur+hs+DFf+lHfbC39DID+0F9sUGs/rK76vp/9iJ3YrgBnEWEV4QEnnAIbRKIMnNAgmR5EVde3ouVV/OPIJa7b8qfjhynYRkPyKaUSB3gcf0/vyes+8sJfRoJfe9tmXK6v6GwAixcQ1jdbAUX2sID+YquN6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWh5FS3pDNMb8+n4YRr2q0Dlj3kzzrohwXt63GfRJObCe5qK7jlWrq/obJCkUze2b7bq1tdNHfqLrXarq67GYibaie0KDF4+FGEV4ZFnNdtrEImYndAgmR5EVde3ouX1/UxvtDvz+nG3t/cY+/xR+c2wPUHrgfLuZE/5pfB7j3uBMwegc/tHA3/tbZhTrq/obPhxX/pR32wt/QyA/sKzGlSlsLrq5OLZ2ontCnA+EVYRHnDCKbBBJMrACQ2S6UFUdX0rWl6dNlv/Zu5HVd4M7OaJRe3OUD+WvKd3+ay22ZkorbToZb5y5URnww7uwg/7ZmvhJwC1h/5io2J7cXXV9+wcDtiJ7QpwGhFWER5wwimwQSTKwAkNkulBVHV9K1penb4AeDVza4eLwg9U51mevef9ij3Je3p/XV7akn46TvQyX7m+orOhYsGF0n2zJSzYUuHQX2w1XF11NRYz0U5sV2Dw8qEIqwiPPKvZXoNIxOyEBsn0IKq6vhUtrz6brde5NyOxF5KgZ19fmN2ZIqsL5g5iu6LsY+lXLbGSfVmWg0VnA5tA6GDfbIWWW28mupDENnXVxTjABDuxXQHATCERVhEecMJxaQuRKNypWpBMD6Kq61vR8ir5Ab4y0vXMC1ubc+Q3lX02fmXKnRHZe3rPHl9IFH3gfUCVvPbG1Fd0NuxUaOGHfbO18BOA2kN/sVGxvbi66nt2DgfsxHYFOI0IqwgPOOEU2CASZeCEBsn0IKq6vhUtry6brbe5F7aYzcBOntI32namSh8KrTzutSW8r4XsiSlvZkVng7SM9eL7ZqtebV2Vob/Yase66mosZqKd2K7A4OVDEVYRHnlWs70GkYjZCQ2S6UFUdX0rWl5la3oB6nbWcoV8Gkv6RluBBjks/JWiR4fbyIu+XbjZyO7JUa7v7FODlCs+pm+24muucoT+YquUt5PqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7DrNmbx3/OLW8GdqSlv9S8M1X6UPgy08dp+Te2Ues72U9ay3ae5frKzgY0mepxfbNVvcQ+Bg5/PxiQuuqMsXrITmxXgOEjrCI84IRTYINIlIETGiTTg6jq+la2vEIV52GeuF9FTFNXH7zE56jwtR9AsRhyLyvS5vfch9KKTt8DgtuobufItoPl+goT/cZd+EHfbC38BKD2Dn8/GKu66oyxeshObFeA4SOsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYYAv650hmy3RnaV4pLlRqdXfiznF2XHRrRw2G9l2sFxf2dkwm0VUQN9sRVXa6OPw94MhqKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm9lyytUcRYG+RIh/2M+X/K/n1gfz0Hhzmf4biDyoTOWUHDP+q2O7IWwcn1lZwObQeRg32xFVtvgZf/7wZnXVeectWN2YrsCzB5hFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4C/MH+PR4eTOwIy3eAe3MFT4s/3BzQejmsTAAHy7f5H1SQrbzLNdXdjZMoixxsG+2lqi6wtP+94MzravOOWvH7MR2BZg9wirCA044BTaIRBk4oUEyPYiqrm9lyytUcRbmCvg1G+gD5uIdEIvFDgpfZtpsXsy32irfd3SSVLbzLNdXdjZMoixxsG+2lqi6wtP+94MzravOOWvH7MR2BZg9wirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ5mfQJ8U6+8GdiRFu+AduYKHwpfZtpsoCxZCOFmS7bzLNdXdjawGUQO9s1WZLUNXua/H6x3XXXWWjloJ7YrwOgRVhEecMIpsEEkysAJDZLpQVR1fStbXqGKczD/kM+OlzcDO9LiHdDOXOFD4c5nUDfDrZCb6P+kIdt5lusrOxt+/Bd+1DdbCz8BqL357wdrVFedtVYO2ontCjB6hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hzM4y03+jV2AsRs5DsgRHUyRrjzGTSk31/csxX+ynb5p6X3lIcD5frKzoYp7UWO9c3WImWXm5r/frCWddVZa+WgndiuAKNHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAt6AqbwZ2pOU7oJ3Jsoflm4CWdJCvAZTmfh4XbrZkxSjXV3Y2sBlEDvbNVmS1DV7mvx+sd1111lo5aCe2K8DoEVYRHnDCKbBBJMrACQ2S6UFUdX0rW16hinMw0Ptr5c3AjrRwO7IzU/ywfF+qkhT0bmlp8va46IelNxtZMcr1lZ0NXAKhY32zFVpuvZn57wdrXVedtVYO2ontCjB6hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwM9BIM5CLcjnBQc2PlzziVZsp+q3BCBfkewc40WTHK9ZWdDTsAyz7sm61l6w+7l888WIIJrKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ4G2hVALsLtCAc1N1Z+Jag0E7l1a2nu53GoBD8KsmKUxWVnw4//wo/6ZmvhJwC1L595qAIXV1edc9aO2YntCjB7hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+BvHkcoopmYBwviy8HC07GzLiJTt9s7Vk9QXe5TNPIFIMratetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHgYxBPLqeYkgkI58vCy9GysyEjXrLTN1tLVl/gXT7zBCLF0LrqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAJ+QRwKPgbx5HKKKZmAcL4svBwtOxsy4iU7fbO1ZPUF3uUzTyBSDK2rXrQ1DNiJ7QowfoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh4GMQTy6nmJIJCOfLwsvRsrMhI16y0zdbS1Zf4F0+8wQixdC66kVbw4Cd2K4A40dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwUACfkEcCj4G8eRyiimZgHC+LLwcLTsbMuIlO32ztWT1Bd7lM08gUgytq160NQzYie0KMH6EVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEoeBjEE8up5iSCQjny8LL0bKzISNestM3W0tWX+BdPvMEIsXQuupFW8OAndiuAONHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo+doKHUiSUAgXvt2uZpSyciZadDfvcCx3pm62FCi+1NV4WM3Z11WfMVcN2YrsCDB5hFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4BwMJ+AVxKPAYszkpapysi0PIgNBSFs5Ey84GJJOQmL7ZCimz3QS6stU2ddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Vra8QhXnYCABvyAOBR5jNidFjb7ZKpamwkDfbFUoag1J6MpWG9dVV2MxE+3EdgUGLx+KsIrwyLOa7TWIRMxOaJBMD6Kq69u+2Zqt3QKbrY/TWardAFn4uiwuOxt2ERZ93Ddbi5YfN4f+YuNyo8i66iMzl66d2K4AJxJhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4BwMJ+AVxKPCYbCuTZI2vbAktZeFMtOxsgCtYO7BvtmpX2EkfurLVXnXV1VjMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+la2vEIV52AgAb8gDgUeYzYnRY3Tj+IQMvB+hkR9x8jCmXxkZ8O3/9IP+mZr6WcA9IeubFBrP6yu+r6f/Yid2K4AZxFhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4BwMJ+AVxKPAYszkparS82WK2ZrKzoZh99EDfbEVXXOkHXdlK7c2mrroai5loJ7YrMHj5UIRVhEee1WyvQSRidkKDZHoQVV3fypZXqOIcDCTgF8ShwGPM5qSo0TdbxdJUGOibrQpFrSEJXdlq47rqaixmop3YrsDg5UMRVhEeeVazvQaRiNkJDZLpQVR1fds3W7O102y2zt5nZbmAtxU3ujcmC2fykZ0NexxLHeibraUqL/SF/mILNX/C66r/+Pg9shPbFeBsIqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA4FHmM2J0WNljdbzNZMdjYUs48e6Jut6Ior/aArW6nd30ZUFw6bWPfJSwwRHli231ENIhGbExok04Oo6vpWtrxCFedgIAG/IA4FHmM2J0UN62brvKg8NfAmCmfykZ0NUyiLHOubrUXKLjeFrmy57NeMuupqLGaindiuwODlQxFWER55VrO9BpGI2QkNkulBVHV9K1teoYpzMJCAXxCHAo8xm5OihnGz9SraPW1k4Uw+srOhmH30QN9sRVdc6Qdd2Urt/sqWunDYxLpPXmKI8MCy/Y5qEInYnNAgmR5EVde3suUVqjgHAwn4BXEo8BizOSlqrN6KQ8iAbPck3Gwx4rKzAckkJKZvtkLKbDeBrmy1TV11NRYz0U5sV2Dw8qEIqwiPPKvZXoNIxOyEBsn0IKq6vpUtr1DFORhIwC+IQ4HHmM1JUcO42fp3UVSeGpCFM/nIzoYplEWO9c3WImWXm0JXtlz2a0ZddTUWM9FObFdg8PKhCKsIjzyr2V6DSMTshAbJ9CCqur6VLa9QxTkYSMAviEOBx5jNSVGjb7aKpakw0DdbFYpaQxK6stXGddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6tm+2Zmv3P7fZKr9sJjsbZisXFdA3W1GVNvpAf7HVHnXV1VjMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+la2vEIV52AgAb8gDgUek71Jl2TPX2H5qcC/l1NHi8dk4Uw+srOhyBM90Ddb0RVX+kFXtlK7f0BeXThsYt0nLzFEeGDZfkc1iERsTmiQTA+iqutb2fIKVZyDgQT8gjgUeEy2lUmyfbMFl9chsG+2HIoYIQFd2WqQuupqLGaindiuwODlQxFWER55VrO9BpGI2QkNkulBVHV92zdbs7V7uZoN2Qu4+Ld3SHJAaCkLZzaPsrNBklHV2L7ZqlpeP3HoL7barq66GouZaCe2KzB4+VCEVYRHntVsr0EkYnZCg2R6EFVd38qWV6jiHAwk4BfEocBjz9dw6HegcbMltJSFM1sz2dnwne3SD/pma+lnAPSHrmxQaz+srvq+n/2IndiuAGcRYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAcDCfgFcSjw2NNvOPQ78PLv90PNA6GlLJzZmsnOBk1mVeb0zVaVsvqLQle22rauuhqLmWgntiswePlQhFWER57VbK9BJGJ2QoNkehBVXd/Klleo4hwMJOAXxKHAY7KtTJK9eoHlpwL/3EwdLR6ThTP5yM6GIk/0QN9sRVdc6Qdd2Urt/gF5deGwiXWfvMQQ4YFl+x3VIBKxOaFBMj2Iqq5vZcsrVHEOBhLwC+JQ4DHZVibJXj/D8lOBj7dTR4vHZOFMPrKzocgTPdA3W9EVV/pBV7ZSu2+21IXDJtZ98hJDhAeW7XdUg0jE5oQGyfQgqrq+lS2vUMU5GEjAL4hDgcdkW5kka9xsPdzBdNtAWTiTj+xsEDHWDO6brZrVddSGrmy1X111NRYz0U5sV2Dw8qEIqwiPPKvZXoNIxOyEBsn0IKq6vpUtr1DFORhIwC+IQ4HHZFuZJPv7CZafCrx7mDpaPCYLZ/KRnQ1FnuiBvtmKrrjSD7qyldr9lS114bCJdZ+8xBDhgWX7HdUgErE5oUEyPYiqrm9lyytUcQ4GEvAL4lDgsXtZjT51b/7A8lOBt49TR4vHZOF9s1UspHQAOlNlohUkZQA1o+smV1e9Rl3sxHYFOK8IqwgPOOEU2CASZeCEBsn0IKq6vpVtJKCKczCQgF8QhwKPyV43SrKy7c8einCvJgtnNo+ys2EPe6kDCfvoyz4wCehMlVWlgqQMoGZ03eTqqteoi53YrgDnFWEV4QEnnAIbRKIMnNAgmR5EVde3spUJqjgHAwn4BXEo8Jhm46SZswMkfBdSFs5sHmVnww7wsg/7ZmvZ+sPu0JUNq40D66qP3Tz6dmK7ApxHhFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHAY5qNE7OhQXyFn6+XhTP5yM4GJJOQmL7ZCimz3QS6stU2ddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Vra8QhXnYCABvyAOBR6TvUmXZJm36hBf4W26ZOFMPrKzAckkJKZvtkLKbDeBrmy1TV11NRYz0U5sV2Dw8qEIqwiPPKvZXoNIxOyEBsn0IKq6vpUtr1DFORhIwC+IQ4HHZG/SJVnmQ+iIr/AG9LJwJh/Z2YBkEhLTN1shZbabQFe22qauuhqLmWgntiswePlQhFWER57VbK9BJGJ2QoNkehBVXd/Klleo4hwMJOAXxKHAY7I36ZKscbMl/GlFWTiTj+xsgCtYO7BvtmpX2EkfurLVXnXV1VjMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+la2vEIV52AgAb8gDgUek71Jl2SZG4civuevSNR3jCycyUd2Nnz7L/2gb7aWfgZAf+jKBrX2w+qq7/vZj9iJ7QpwFhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMJCAXxCHAo/J3qRLssxP4iC+qzck6jtGFs7kIzsbvv2XftA3W0s/A6A/dGWDWvthddX3/exH7MR2BTiLCKsIDzjhFNggEmXghAbJ9CCqur6VLa9QxTkYSMAviEOBx2Rv0iXZJ9kvSY9Zzt7HR9i+LJzJR3Y2sEyRg32zFVltgxd0Zav166qrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcCjwme5MuyT79huWnAk8/po4Wj8nCL8rvUcrOhiJP9EDfbEVXXOkHXdlK7f5zPerCYRPrPnmJIcIDy/Y7qkEkYnNCg2R6EFVd38qWV6jiHAwk4BfEocBjK9nLTJ+6z9ew/FTgyXrqaPGYLJzZPMrOhiJP9EDfbEVXXOkHXdlK7b7ZUhcOm1j3yUsMER5Ytt9RDSIRmxMaJNODqOr6Vra8QhXnYCABvyAOBR47k73M9Kn7cgXLTwVCFfiZKAtnPuElOxt+ABZ+1DdbCz8BqL3sREVVKa6uOrl4tnZiuwKcT4RVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8ShwGOy142S7N9LWH4icH0ycbB8SBjOvOkoOxvKRMEjfbMVXHCtHXRla8U3ddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Vra8QhXnYCABvyAOBR6DcEZq/y5GB0Tdj9Oa4czmUXY2iCBrBvfNVs3qOmprLiXcvq46zoFH2ontCjBthFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHAY7KXmZLs6zksPxH4tpo4WD4kDGfKKzsbykTBI32zFVxwrR1z6mkld+bVVd8xcntoJ7YrwMlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo6tpa9zJRkhfufEYtwqyYL5950lJ0NI+rlun2ztVztRc7QlS1S3A2uq77r5PXYTmxXgHOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBR07F32MlOSfT9D5afihG9CysK59yhlZ8MU+iLH+mZrkbLLTaErWy77NaOuuhqLmWgntiswePlQhFWER57VbK9BJGJ2QoNkehBVXd/Klleo4hwMJOAXxKGgY2+adwS5Hc28sfC7jLJwbh8oOxvmEwmK6JutoEJbbaArW21SV12NxUy0E9sVGLx8KMIqwiPParbXIBIxO6FBMj2Iqq5vZcsrVHEOBhLwC+JQ0DHZ60Zfqtx7dfPGwrt0ycK5dzhlZ8N8IkERfbMVVGirDXRlq03qqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRwKOqa7iwOUQwlB+MuKsnBu8yg7G0r44cf7Ziu85DpD01Uxa1lXfdZeEWAntivA2BFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMJCAXxCHgo69qG4GD+VQQni8LY1MHpeFc5tH2dkwCbPEwb7ZWqLqCk/TVTHrV1d91l4RYCe2K8DYEVYRHnDCKbBBJMrACQ2S6UFUdX0rW16hinMwkIBfEIeCjul+5pC5mdW88b3sWZGFc5/wkvnOJxIU0TdbQYW22kBXttqkrroai5loJ7YrMHj5UIRVhEee1WyvQSRidkKDZHoQVV3fypZXqOIcDCTgF8ShoGOyN+lI9Uzxg4o0d3P7+P0QeSAL5zaPsrMBYQuJ6ZutkDLbTaArW21TV12NxUy0E9sVGLx8KMIqwiPParbXIBIxO6FBMj2Iqq5vZcsrVHEOBhLwC+JQ0LGHOzRyN475AcLdsOnHN3+mjxeOysK5zaPsbCjgxB/um634mqscoStbpbydVFddjcVMtBPbFRi8fCjCKsIjz2q21yASMTuhQTI9iKqub2XLK1RxDgYS8AviUNAx2Zt0pHr+So8U7fWzaJIsnNs8ys4GEWTN4L7ZqlldR23oylb71VVXYzET7cR2BQYvH4qwivDIs5rtNYhEzE5okEwPoqrrW9nyClWcg4EE/II4FHRM9iYdqV78o0eK9vKvaJIsnNs8ys4GEWTN4L7ZqlldR23oylb71VVXYzET7cR2BQYvH4qwivDIs5rtNYhEzE5okEwPoqrrW9nyClWcg4EE/II4FHRM9iYdqco2QDTrqxXu1GTh3OZRdjaMqJfr9s3WcrUXOUNXtkhxN7iu+q6T12M7sV0BziXCKsIDTjgFNohEGTihQTI9iKqub2XLK1RxDgYS8AviUNAx2Zt0pKqb9TVb+IEvWTi3eZSdDZTr4m3fbC3+FGAA0JWNSU1E1VWfMDQfshPbFeAkIqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA4FHbt6QSN3434/7faEj08/RBNk4dw2UHY2iCBrBvfNVs3qOmpDV7bar666GouZaCe2KzB4+VCEVYRHntVsr0EkYnZCg2R6EFVd38qWV6jiHAwk4BfEoaBjsjfpSJV7/Yhiiq3wJl2ycG7zKDsbivzRA32zFV1xpR90ZSu1+7cR1YXDJtZ98hJDhAeW7XdUg0jE5oQGyfQgqrq+lS2vUMU5GEjAL4hDQcd03yvkPhk16wwV4EdFFs5tHmVnww/Bwo/6ZmvhJwC1l52pqCrF1VUnF8/WTmxXgPOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBR0THd7Uu47f3POH6dzEdm4MJzbPMrOhoxiyU7fbC1ZfYE3dGUL9PLQuuq5l0/PTmxXgDOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBR0TPYmHalyd7OimFL7tiqNTB4XhnObR9nZMEmzxMG+2Vqi6gpP6MpW6KYpddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Vra8QhXnYCABvyAOBR2DaPbEZD8OnU//d5H3Z3rCcG7zKDsbZrjihvtmK67WJifdtYRa1lVHKSRxdmK7AswbYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAcDCfgFcSjg2PoEDMzDuF8gzCP3e9xPRe9Hb4ThXHVlZ8MEyzKH+mZrmbqLXblzTyy2N6Gu+p6dwwE7sV0BTiPCKsIDTjgFNohEGTihQTI9iKqub2XLK1RxDgYS8AviUMCx9zMwMA97vs77kp5woyYLZzePsrNBklPV2L7ZqlpeP3Hoylbb1VVXYzET7cR2BQYvH4qwivDIs5rtNYhEzE5okEwPoqrrW9nyClWcg4EE/II4FHDs9RwMzMP+XuZ9SU/4FqQsnN08ys4GSU5VY/tmq2p5/cShK1ttV1ddjcVMtBPbFRi8fCjCKsIjz2q21yASMTuhQTI9iKqub2XLK1RxDgYS8AviUMAx4SeiSFU57XO68MP1snD24/Sys4FyXbztm63FnwIMALqyMamJqLrqE4bmQ3ZiuwKcRIRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8ShgGPCT0SRqvIFsc/pdw+kArWycHYXKDsbILqIoL7Ziqiygwd0Zat96qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcCjgm+0TUtyj7bt131PQD4d3nZeHs5lF2NkzTL3C0b7YWKLrGErqyNcKfc+qqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHAo49ucWDMzDhHcazSZzv16YBaaOLJz95L7sbJhgWeZQ32wtU3exK3Rli1VpQl11cvFs7cR2BTifCKsIDzjhFNggEmXghAbJ9CCqur6VLa9QxTkYSMAviEMBx2SfiPoRhZL4Cd99dPF3tzf7WBb+54YRlJ0NjFDsUN9sxdZb7Wa4KADPuuoAgDjETmxXgKEjrCI84IRTYINIlIETGiTTg6jq+la2vEIV52AgAb8gDgUck30i6kcUSuInfPfR6m23N/tYFs5uHmVnwyxZVEDfbEVV2uhjuCgA57rqAIA4xE5sV4ChI6wiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA4FHJN9IupH9PTj57HwkXCqLJzdPMrOBmFa9cL7ZqtebV2VoStb7VhXXY3FTLQT2xUYvHwowirCI89qttcgEjE7oUEyPYiqrm9lyytUcQ4GEvAL4lDAMdknon5EuZ8g/ImafATl/zNTFs5uHmVnww/Cwo/6ZmvhJwC1l52qqCrF1VUnF8/WTmxXgPOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBRw7FL2Aapv1fPX74fCB+w93ve1hOHs5lF2NuyzLHSkb7YWKrzUFrqypaLf8XXVv20cH9iJ7QpwOhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMJCAXxCHAo5pN00X/0CDvTDhXSOE4Vcve4Y/B2Rnw8+8hR/1zdbCTwBqD13ZqNheXF31PTuHA3ZiuwKcRoRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8ShgGPatwPZTQ3rLbwfqjCc3QTKzgY2i8jBvtmKrLbBC7qy1fp11dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6vpWtrxCFedgIAG/IA4FHDtZg4GjsN9PowNwV/izisJw9ruLsrMBzqh2YN9s1a6wkz50Zau96qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcCjgGwUxosR9En4j/OSS8Z70wnP3uouxs+EFe+FHfbC38BKD22osJ06+rjjHIouzEdgWYOMIqwgNOOAU2iEQZOKFBMj2Iqq5vZcsrVHEOBhLwC+JQsDH1neDZWyyw3o+37PB4UBjOFld2NoxJFuv3zdZipZcZsyefTGoiuq76hKH5kJ3YrgAnEWEV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHAwn4BXEo2NjbCovbi2JvHroXvXvgXvacyML57y7KnHehF33cN1uLlh83h65sXG4UWVd9ZObStRPbFeBEIqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA4FG/t3gcXtRQlfcNqZf/u405l/KAvnv7soOxvm2YIi+mYrqNBWG+jKVpvUVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iqutb2fIKVZyDgQT8gjgUbOzlCovbixJ+lGpnPnsnrJ24r4eycP67i7KzYZ9loSN9s7VQ4aW20JUtFf2Or6v+beP4wE5sV4DTibCK8IATToENIlEGTmiQTA+iqutb2fIKVZyDgQT8gjgUbEy9Z1Lv0jbC26jKwvnvLsrOBqyCAVF9sxVQZA8L6MpWG9VVV2MxE+3EdgUGLx+KsIrwyLOa7TWIRMxOaJBMD6Kq61vZ8gpVnIOBBPyCOBRsTP1uIL+r4cyFt1GVhT9fc9ays4FTCh3rm63QcuvNoCtbLV9XXY3FTLQT2xUYvHwowirCI89qttcgEjE7oUEyPYiqrm9lyytUcQ4GEvAL4lCwMdnHz3c0+ffrdgL3HgpvoyoL/3Oz57dzQHY27Exc9mHfbC1bf9gdurJhtXFgXfWxm0ffTmxXgPOIsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBRsTPbx8x1N/pPoO4F7D6H0f2bJwvkvScrOhh+GhR/1zdbCTwBqLztXUVWKq6tOLp6tndiuAOcTYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAcDCfgFcSjYmPpG8B8nmMFeFH9zBms4f/sv2dmwx7LUgb7ZWqryQl/oyhZq/oTXVf/x8XtkJ7YrwNlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo2pv+JQyiLCQjhnb2E4fyN7WVnwwT8Mof6ZmuZuotdtdcEZlRXHWOQRdmJ7QowcYRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8ShYGPs7zazEtofVRTe2UsYzm8eZWcDm37kYN9sRVbb4AVd2Wr9uupqLGaindiuwODlQxFWER55VrO9BpGI2QkNkulBVHV9K1teoYpzMJCAXxCHgo2xv9vMSsg+uP4jxX9f8Cfu65EwnN88ys6GPZalDvTN1lKVF/pCV7ZQ8ye8rvqPj98jO7FdAc4mwirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ4GEvAL4lCwMe3rU5uN7JYMPzT89wV/4r4eCcP5zaPsbNhjWepA32wtVXmhL3RlCzV/wuuq//j4PbIT2xXgbCKsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYCABvyAOBRuDWCalZDcb/ZEQ3mxCGH768eO0/0h2NuzPX+hI32wtVHiprf5qQpzqqiME0hg7sV0BZo6wivCAE06BDSJRBk5okEwPoqrrW9nyClWcg4EE/II4FGjs4xQKmwriPx01NSMdE95sQhjO11Z2NpRzCB7pm63ggmvt+LNPq0rz6qqTi2drJ7YrwPlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo0Jvyu366m9qYRst863MjCZ+4rITsbdrNd9HHfbC1aftwcurJxuVFkXfWRmUvXTmxXgBOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBRo7O8FFDYVJHzJ6VtC+PajLHxm8yg7G76Rl37QN1tLPwOgP3Rlg1r7YXXV9/3sR+zEdgU4iwirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GEjAL4hDgcaE3/Xb1RR+mOp7Kv8R9u8weiALn7lRhOxsIITF277ZWvwpwACgKxuTmoiqqz5haD5kJ7YrwElEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAo0Jvyu366m9ies+Y+w7zp8PpaFv1ztCewekJ0NuzMXfdw3W4uWHzeHrmxcbhRZV31k5tK1E9sV4EQirCI84IRTYINIlIETGiTTg6jq+la2vEIV52AgAb8gDgUa439KkJV4+s0OFweh7H9my8JnoGRnww/Ewo/6ZmvhJwC1l52sqCrF1VUnF8/WTmxXgPOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOBRoTPvBq0F85kWkkr3wB6yF4TObR9nZUEoh/HjfbIWXXGcIXdk66WFWXXU1FjPRTmxXYPDyoQirCI88q9leg0jE7IQGyfQgqrq+lS2vUMU5GEjAL4hDgca0XykcxGc+HlWyfz0vjUweF4bzv0O9kZ0Nk0BLHOybrSWqrvCErmyFbppSV12NxUy0E9sVGLx8KMIqwiPParbXIBIxO6FBMj2Iqq5vZcsrVHEOBhLwC+JQoDHtzbIG8Zkv/pXshS+ICcP536Hum63Ss1I4Dp2phbmFwxUkC04LHK6bXF31GuWyE9sV4LwirCI84IRTYINIlIETGiTTg6jq+rZvttjanf9jh7lB5f1QhR/JF4bPbB5lZwOXfehYf2UrtNx6M+gvtlq+rroai5loJ7YrMHj5UIRVhEee1WyvQSRidkKDZHoQVV3fypZXqOIcDCTgF8ShQGPaX5PeikNp7FHMfKpqHC8M53+Hur+yNS7vTF/3FLOiFSRZv9DBusnVVa9RKDuxXQHOK8IqwgNOOAU2iEQZOKFBMj2Iqq5v+2aLrZ3+d6g3G91c4UfyheEzd+WSnQ1s5SIH+ytbkdU2eEF/sdX6ddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Vra8QhXnYCABvyAOBRmb+XUbXkL3qpjs53eEv9YztwGUnQ18+oGjfbMVWGyLFXRlqw3qqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRwKMia8sUIuef6a97Ge7Od3NsLwmdLKzgYsoYCovtkKKLKHxczpZ7Soq26Em5xuJ7YrTIJNHYywivCYyo051iAS0TqhQTI9iKqub2XLK1RxDgYS8AviUJAx4Y0VcknhPuhr8swbfbnFZiMLn9s8ys6GMcti/b7ZWqz0MmPoypZJ7kTXVd8xcntoJ7YrwMlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHAoyJryxQi6pu0eX8JNesvC5zaPsbMjTXbDXN1sLFl9iDV3ZEsEstq56ZuXUsRPbFeBUIqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA5lYuz+z2az/e/73+6v22QD3xHjBztR859dv3saT99knxJ7eNwbHx1I4Tumo/FRd27zKDsbRuLLdftma7nai5yhK1ukuBtcV33XyeuxndiuAOcSYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAcDCfgFcSgTYxfDzxlu//v+93Vjhd/bKl3dfB9mHmyjPsOHbdtsbc/3JbNboV5dM06fQykcQxsm7G4ep6RniacmLX8sYR99gQQmAZ2psvpUkJQB1Iyum1xd9Rp1sRPbFeC8IqwiPOCEU2CDSJSBExok04Oo6vpWtjJBFedgIAG/IA5lYmxvs/X16zbZBmxi3ujQV/jj7ej4Xndis/X3cidqfrOVhe/MLDycuyuX7GwomMQf7put+JqrHKErW6W8nVRXXY3FTLQT2xUYvHwowirCI89qttcgEjE7oUEyPYiqrm9lyytUcQ4GEvAL4lCGseeL0/OHoX08P716G1rabD1fnF1+3jr+crUNeDg+ubx8v3/cibz787habQ+M/w1RKXyzuT39VLn787BaPW/uz85fxsHnNw9nnyp/r85WNx/D8N3N+Zfu/dnqz/Rm6zt44D4523J/oo3Fhz7lMSAkn9+rs9X1+zBhEJ96j1J2Nkw4LnOob7aWqbvYFbqyxao0oa46uXi2dmK7ApxPhFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKEMe6yj25ftz908/Hf/fPFr2Ot8bbYe/7t/uf1vuHHD46+rbcC/s4unp/V28Dvy/Pjq+e5ob/f0KZHCh8lnnyrb0Juj6+vn3/9tt1O7/86PL5/vj7YfFLt/eV6thqHz47Oke//fw/P58eTbiN/BA83NKXHv6n49/s7j2+fXxcvz7dvm9tfj88WUuOxsmLBc5lDfbC1Td7ErdGWLVWlCXXVy8WztxHYFOJ8IqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORhIwC+IQ9lsft2l8V/bIhzffm+2fm1f7bq+GgJO008jfr4vuP3fd+T52RByPhwZ//varw2Hf92ef6p8hh5vd1K/dj97v514fjL87+Z0+3Cz+TgatnfnJ4P3VnfLsP5vcrP1HTzQ3D0Q96dG/r/vPMjn7Vf6RP5/j4P4rwlx2dmQuy3Y65utBYsvsYaubIlgFltXPbNy6tiJ7QpwKhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMJCAXxCHsnnd7m6Gf2+f7fUFbbZej37f3t6enw4Bp8NbbsM/2mz9RH7us37vfr7qM5Akhs7r0dXJp8pn6Gr7UfjTcbHPt/udl6P15mOwOz16HvZZZ8N2aNB9O9q+Pfg5PrT5Pwre0vx+Iu48Ztv7ziPpbH2Oj2+GV+NeP8Uv+mZrv2bCI9CZKtOsICkDqBldN7m66jXqYie2K8B5RVhFeMAJp8AGkSgDJzRIpgdR1fXteP3nlaCKcxKQgF8Qh7L597nnoL3H7+F1qPSy1L+jm7vh38MQcLz+VKDNVtqlbCM/P9r+e9ifjf99v7I1qBx/qnyGrm6HwP3N1valsb9HH5uzi5fX16Nhn3V+9nfYbF0M+6HtNu9yYj+0+Q7e0lz+Je4hfPTvO4/0Etynz/3lfydvfbM1qpS6C52pMvUKkjKAmtF1k6urXqMudmK7ApxXhFWEB5xwCmwQiTJwQoNkehBVXd/+P95sfWx3N8O/9fYlpc1q2NiknRIdH97Y277NN/yjzdZP5Pxma1BJNxzlNlvDtm3z+N/mfbvte/vcbJ0Mj4bNVnI6mdpsfQdvY1ZvxP0Jmv3vO4/N+ZfP9vta69Ob9Wfi/TNbWbVUHegvkEy5gqQMoGZ03eTqqteoi53YrgDnFWEV4QEnnAIbRKIMnNAgmR5EVde3/483W5urk+F9xOGVpKvh3cI/R8PHs75elvo8/jq833Z5nAJ+rz7Wn4Pfkexm6zN8UB9kBxVuszXset5Pboat1cNmff652dq+lrZ9xezy7GPzcDS12foJHmhOHol74hT4zmMrvfV5HTaPHyf3m+uTv++/pz4QJjsbJiyXOZSw+322lqm+wBX6iy3Qy0PrqudePj07sV0BziTCKsIDTjgFNohEGTihQTI9iKqub2XLK1RxDgYS8AviUIYXeS6Pfh0NG5uP1dGv/7aF+Npsra+H/q/HYSN2kgLeVv8dvW4HvyPZzdZn+GZ9/etThdtsXZ/9OjoftlcPR8f/3f+3fRtxm/t2s/V+dvTrfPptxO/ggWaY9sU9kep3HudfPs/HR8dHl+vN+uq/XzeX24+Rjf7JzobR5OW6CbtvtpZ7BkBn6MoGtfbD6qrv+9mP2IntCnAWEVYRHnDCKbBBJMrACQ2S6UFUdX0rW16hinMwkIBfEIeyHft4ff8MeX9NH86i+HU6/nxNATSwGUd+D0w8uHxM6hND34feth+EH/Z9XwA7N5D/GvmO/HlAwcNu8Czn/olJj77yGPZ7n2p/L99fPyhm+73H8T/Z2TCevVi/b7YWK73MGLqyZZI70XXVd4zcHtqJ7QpwMhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMJCAXxCHAoxtb8Jl+Kf4JWrhHeHB8M8X14ZEnr7elvz3+Prv6tfEPk12NhhK4zu1b7Z861lNDbqy1e511dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6vpWtrxCFedgIAG/IA4FGLv/uhEXEDoV8vVjP1NDpWNzP144mgeGX37lQT8g9Hp+cnKZXlLLBWVnQz53wV7fbC1YfIk1dGVLBLPYuuqZlVPHTmxXgFOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOJSZse03FG8fZ4L44fRLhFsh5N/nC01zP174IyQM/6SY3f3JzoYfmIUf9c3Wwk8Aag9d2ajYXlxd9T07hwN2YrsCnEaEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHAwk4BfEocyMPQ0fV79O94aYiSwOf77utNWB/j0P34tM27v1xBt8exLC8E+M3+Nb2I9VZWfDePZi/b7ZWqz0MmPoypZJ7kTXVd8xcntoJ7YrwMlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHMrM2Hq449Xldv/zPrdDmRT6M3w2/mW4w/xbutnWZEx+cH0yuF0Pr0C9QW9eisOHtw2vhttZsOnIzoacf8Fe32wtWHyJNXRlSwSz2LrqmZVTx05sV4BTibCK8IATToENIlEGTmiQTA+iqutb2fIKVZyDgQT8gjiUubHzs/VquM3W76+f7JkLH42/n95uXs8367NhwwX+uzr+u7n4t3kEDYXhl8MXF89fN7esuuxsAPOqH9Y3W/Vr7OIAXdlqp7rqaixmop3YrsDg5UMRVhEeeVazvQaRiNkJDZLpQVR1fStbXqGKczCQgF8QhzI39uf4+vTj5fR44g4Jc1O34w/Hp0+nm6tj9F3E4buCxyd/z96uUENx+NVmIOLVZWcDUoaQmL7ZCimz3QS6stU2ddXVWMxEO7FdgcHLhyKsIjzyrGZ7DSIRsxMaJNODqOr6Vra8QhXnYCABvyAOZW5sfXx8fHVycj4XVxpfHZ8e3x1//bpiKWj3+PpkmHF6vNo9xjyWhh8PNHPqsrOBgYsd6put2Hqr3aAru1F1NRYz0V4PuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMrs2Pnx8dnx6fArPrp//06OV8fH+LuIw0eqjk9Pjk9gQ2H45fHAM6MuOxt0dakwq2+2KhS1hiR0ZauN66qrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyuzYn+GlrbOb2bBiwM3J8fEJ/i7i8D7i6eCIG0rDtzgz6rKzoZh59EDfbEVXXOkHXdlK7c32Z9YP7J+d2K4AlyzCKsIDTjgFNohEGTihQTI9iKqub2XLK1RxDgYS8AviUGbHtu8jniJ3YSgorbd7J8n84Y3BY/jLi8NP/AjDgXRkZ0Mh7/jDfbMVX3OVI3Rlq5S3k+qqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMr82MXxCXpH0kmx5xPRu4ibzfBOn+SVMHH4bDqys2Ey6SUO9s3WElVXeEJXtkI3TamrrsZiJtqJ7QoMXj4UYRXhkWc122sQiZid0CCZHkRV17ey5RWqOAcDCfgFcSjzYw/HF/NBXMTF8d3Uj+IUpzweiz6O7x8uOxuKeUQP9M1WdMWVftCVrdTur2ypC4dNrPvkJYYIDyzb76gGkYjNCQ2S6UFUdX0rW16hinMwkIBfEIcyM7a+374LeHoveR8wlxQqtBAuOxvydBfs9c3WgsWXWENXtkQwi62rnlk5dezEdgU4lQirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GEjAL4hD4cfeV8fXj49/ro9Xw63gVf+2CncvsILQsE647GxQlaXGpL7ZqlHVCprQla32rauuxmIm2ontCgxePhRhFeGRZzXbaxCJmJ3QIJkeRFXXt7LlFao4BwMJ+AVxKOzYenX6st7++3u60r22JVRoI1x2NrAVjBzsm63Iahu8oCtbrV9XXY3FTLQT2xUYvHwowirCI89qttcgEjE7oUEyPYiqrm9lyytUcQ4GEvAL4lDYsfvjtNcadlvHshKRrFChjXBdqpTyYm3fbC1WepkxdGXLJHei66rvGLk9tBPbFeBkIqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA6FHTu9+nxda/u/61M2sjQoVGgjXHY2lFIPP943W+El1xlCV7ZOephVV12NxUy0E9sVGLx8KMIqwiPParbXIBIxO6FBMj2Iqq5vZcsrVHEOBhLwC+JQuLG34z/fm60/x6JvFH7JChUaCZedDVwFQ8f6Ziu03Hoz6MpWy9dVV2MxE+3EdgUGLx+KsIrwyLOa7TWIRMxOaJBMD6Kq61vZ8gpVnIOBBPyCOJTy2PP9zfHz92br+fjmXv5PqBAa/lz8FJrsbChXMHikb7aCC661g65srXh/ZUtdOWhi3ScvIUR4QMn+BDWIRHBOaJBMD6Kq61vZ8gpVnIOBBPyCOJTC2Mf9/b/1a/bK1uv3xgt/IFQIDf93X7r9l+xsKFQw/nDfbMXXXOUIXdkq5e2kuupqLGaindiuwODlQxFWER55VrO9BpGI2QkNkulBVHV9K1teoYpzMJCAXxCHMj32fPc+7Kg+dj5CdXX6ge+xviOFCsHhH4/Tz/v00elKNXS0b7YaejI4FOjK5gTYsbrqrLVy0E5sV4DRI6wiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgIAG/IA5lcuzx6+3Du+9vI74c333voCQPhArR4W+3HxMFkJ0NEwLLHOqbrWXqLnaFrmyxKk2oq04unq2d2K4A5xNhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4BwMJ+AVxKFNjj3TDh3e6z9bL6Wr7Upf8n1AhPPxjarclOxumKrjIsb7ZWqTsclPoypbLfs2oq67GYibaie0KDF4+FGEV4ZFnNdtrEImYndAgmR5EVde3suUVqjgHAwn4BXEoE2P/Hr83Va+r46vHl8er45XmE1tbGaFCePjH7X4FZGfD/vyFjvTN1kKFl9pCV7ZU9Du+rvq3jeMDO7FdAU4nwirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ4GEvAL4lAmxm6/91rr9fvd528jfn6Ea+ew4KFQITz8bf+53z8yUaX2DvXNVnvPySQRdGVPzkQO1lVHCKQxdmK7AswcYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAcDCfgFcSj7Y09/863U64v2VS3SESoEhz/u3UBMdjbsV3ChI32ztVDhpbbQlS0V/Y6vq/5t4/jATmxXgNOJsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIOBBPyCOJT9sd0Xtmi7VKu9f6iljOt+3I1rIDsbxrMX6/fN1mKllxlDV7ZMcie6rvqOkdtDO7FdAU4mwirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ4GEvAL4lD2xt5/PrGFb1i0kZc/vweklbDPux/f3VR2NuxVcKkDfbO1VOWFvtCVLdT8Ca+r/uPj98hObFeAs4mwivCAE06BDSJRBk5okEwPoqrrW9nyClWcg4EE/II4lL2xxzf79gVWaGKz9e95VATZ2TCavFy3b7aWq73IGbqyRYq7wXXVd528HtuJ7QpwLhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMJCAXxCHsjemu5/W3Pbq9vHhbPX5nuHD6vTq3zb87mz1uN1sPZ2fXu5+TOzp4nR1v17fPt6fXa0pets7q/We4/jZH/f3atTmgb7ZavN52aOCruy9WeiBuuoohSTOTmxXgHkjrCI84IRTYINIlIETGiTTg6jq+la2vEIV52AgAb8gDmVvrM5ma3V8+ef2aLhX6v1/d08Xv4abdt39d/+0+jVsp/67e77972e39XB08/x4s16vji/+PH1Hr35dPN0dVXqHc/zsj/t7NWrzQN9stfm87FFBV/beLPRAXXWUQhJnJ7YrwLwRVhEecMIpsEEkysAJDZLpQVR1fStbXqGKczCQgF8Qh7I3VmmzdTa8lnV+vf74Neh/HN8MD4ZXr97/u/ps11eX29e6tv8+fn19QH91uu18Ra9XJ8OvBf0+STHe/x8/++P+Xo3aPNA3W20+L3tU0JW9Nws9UFcdpZDE2YntCjBvhFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hwMJOAXxKHsjVXabP0edkjXF+t/R9vXsK62D7bvJZ5f/T26vr25OR92Vunf38+A4fHqev0TvV5tP0n/fKT5fcYvYaYZP/vj/l6N2jzQN1ttPi97VNCVvTcLPVBXHaWQxNmJ7Qowb4RVhAeccApsEIkycEKDZHoQVV3fypZXqOIcDCTgF8Sh7I1V2mzdDJudYbP192h7067r1deDi6uXo993w7/hZa707+VzEzY8Xt2sf6LXq+1m7eWozof3x8/+uL9XozYP9M1Wm8/LHhV0Ze/NQg/UVUcpJHF2YrsCzBthFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4BwMJ+AVxKHtjdTdb70d/thupq/X70dPw4OQqHRgefv377m83W9/R69VqGH/4j6J82/GzP+7v1ajNA32z1ebzskcFXdl7s9ADddVRCkmcndiuAPNGWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsFAAn5BHMreWN3N1vry9G39eDT80vXl2fv6/uhqfXUyvLH4b/jo/Ne/y5N/649hfLvZ+oleDZu015Pty1sV/o2f/XF/r0ZtHuibrTaflz0q6Mrem4UeqKuOUkji7MR2BZg3wirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ4GEvAL4lD2xipvtt5WR//9t/V4Oz36tboYXuK6Ovr136+fuzq8Xx79Orr42mx9R6+uTn8drYYvMdb4N372x/29GrV5oG+22nxe9qigK3tvFnqgrjpKIYmzE9sVYN4IqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORhIwC+IQ9kbq7PZ2tkjvf79+pj7v6/fXHz/+5p98P3t785Hs76ih9e5KHxHyunh+Nkf9/dq1OaBvtlq83nZo4Ku7L1Z6IG66iiFJM5ObFeAeSOsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYCABvyAOZW+s+mZLtUP6fFNRNROYNH72x/29GrV5oG+22nxe9qigK3tvFnqgrjpKIYmzE9sVYN4IqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORhIwC+IQ9kbW2iz9XaR/u28qLW7Tbqs+fPY42d/3N+rUZsH+marzedljwq6svdmoQfqqqMUkjg7sV0B5o2wivCAE06BDSJRBk5okEwPoqrrW9nyClWcg4EE/II4lL2xq/tF/t1dp393C7hfj4ogOxtGk5fr9s3WcrUXOUNXtkhxN7iu+q6T12M7sV0BziXCKsIDTjgFNohEGTihQTI9iKqub2XLK1RxDgYS8AviUPbGZKXYm36IB8Ypj/sHklPCPvqiDUwCOlNlRawgKQOoGV03ubrqNepiJ7YrwHlFWEV4wAmnwAaRKAMnNEimB1HV9a1sZYIqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACfkEcyt6YrBR70w/xwDjlcf9AckrYfbPV/NMFXdnqLOqqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAn5BHMremKwUe9MP8cA45XH/QHJK2H2z1fzTBV3Z6izqqquxmIl2YrsCg5cPRVhFeORZzfYaRCJmJzRIpgdR1fWtbHmFKs7BQAJ+QRzK3pisFHvTD/HAOOVx/0BySth9s9X80wVd2eos6qqrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACx2tO4msMUgJ0fkJkpfiZd8CPximP+weSWsLum63mny7/i3Y35brqu05ej+3EdgU4lwirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GEgA2mydIDsyDmVvTFaKvemHeGCc8rh/IDkl7L7Zav7pgi5/dRZ11dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6vpWtrxCFedgIIGTD07ia6xvtoAizYWMn/1xf25+I+N9s9XIEzGHAV3+cyLF8brqRVvDgJ3YrgDjR1hFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BQAKnyGYLCuJQ9sZkpdibfogHximP+weSU8Lur2w1/3RBl786i7rqaixmop3YrsDg5UMRVhEeeVazvQaRiNkJDZLpQVR1fStbXqGKczCQwOk7J/E1doYEATo/IbJS/Mw74EfjlMf9A0ktYffNVvNPF3T5q7Ooq67GYibaie0KDF4+FGEV4ZFnNdtrEImYndAgmR5EVde3suUVqjgHAwlA+6jVG+ejGZOVQuPQ3JxxyuN+c8DTQAm7b7amq9PQUejyV/PWVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iqutb2fIKVZyDgQSgfdT5K+ejGZOVQuPQ3JxxyuN+c8DTQAm7b7amq9PQUejyV/PWVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iqutb2fIKVZyDgQSgfdTFP85HMyYrhcahuTnjlMf95oCngRJ232xNV6eho9Dlr+atq67GYibaie0KDF4+FGEV4ZFnNdtrEImYndAgmR5EVde3suUVqjgHAwlc/OUkvsauXoAgUYisFCLpVoPHKY/7rXKPuBJ232yNytJeF7r81dh11dVYzEQ7sV2BwcuHIqwiPPKsZnsNIhGzExok04Oo6vpWtrxCFedgIIGrZ07ia+waCQJ0fkJkpfiZd8CPximP+weSWsLum63mny7o8ldnUVddjcVMtBPbFRi8fCjCKsIjz2q21yASMTuhQTI9iKqub2XLK1RxDgYSuH7iJL7Gbv4AQaIQWSlE0q0Gj1Me91vlHnEl7L7ZGpWlvS50+aux66qrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUAC0D7q7oHz0YzJSqFxaG7OOOVxvzngaaCE3Tdb09Vp6Ch0+at566qrsZiJdmK7AoOXD0VYRXjkWc32GkQiZic0SKYHUdX1rWx5hSrOwUACt8g+6uGO89GMyUqhcWhuzjjlcb854GmghN03W9PVaegodPmreeuqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsFAAvfIPurPDeejGZOVQuPQ3JxxyuN+c8DTQAm7b7amq9PQUejyV/PWVVdjMRPtxHYFBi8firCK8Mizmu01iETMTmiQTA+iqutb2fIKVZyDgQQebzmJr7GXKyBIFCIrhUi61eBxyuN+q9wjroTdN1ujsrTXhS5/NXZddTUWM9FObFdg8PKhCKsIjzyr2V6DSMTshAbJ9CCqur6VLa9QxTkYSOD5mpP4Gvt3AQSJQmSlEEm3GjxOedxvlXvElbD7ZmtUlva60OWvxq6rrsZiJtqJ7QoMXj4UYRXhkWc122sQiZid0CCZHkRV17ey5RWqOAcDCUD7qPczzkczJiuFxqG5OeOUx/3mgKeBEnbfbE1Xp6Gj0OWv5q2rrsZiJtqJ7QoMXj4UYRXhkWc122sQiZid0CCZHkRV17ey5RWqOAcDCWD7KEiKYxmPyUoxnn2Q/XHK4/6BJJWw+2ar+afL/ZrNMq6rnlk5dezEdgU4lQirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GEhgfcJJ0Bj0c9UUjLSyUiCKzceMUx73m08gASbsvtlq/umCLn91FnXV1VjMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+la2vEIV52AwgZM1p/E15v7jiLJSAITth4xTHvfbz+CTMGH3zVbzTxd2+WvTqKuupeLm2YntChxfNhZhFeGRJTXfaRCJoJ3QIJkeRFXXt7LlFao4B4MJrN44ja+x38h95gGd7xBZKb6nHfKDccrj/oHklrD7Zqv5pwu7/LVp1FXXUnHz7MR2BY4vG4uwivDIkprvNIhE0E5okEwPoqrrW9nyClWcg8EELpFfor6XoXNUacxbb95x8YhxyuP+4oAYQMLumy2sWgtGYZe/FrCuupaKm2cntitwfNlYhFWER5bUfKdBJIJ2QoNkehBVXd/Klleo4hwMJvAb+d3Dp9+ckWJMVgqFQXtTximP++0RTxIl7L7ZmixOSwexy19LXFddS8XNsxPbFTi+bCzCKsIjS2q+0yASQTuhQTI9iKqub2XLK1RxDgYTgH6KB7pBBMcyHpOVYjz7IPvjlMf9A0kqYffNVvNPF3b5a9Ooq66l4ubZie0KHF82FmEV4ZElNd9pEImgndAgmR5EVde3suUVqjgHgwlAdzXFvrPIwYzGZKUYTT7M7jjlcf9AskrYfbPV/NOFXf7aNOqqa6m4eXZiuwLHl41FWEV4ZEnNdxpEImgnNEimB1HV9a1seYUqzsFgAq/nnAaNed/7QVYKojjodpzyuH8gySXsvtlq/unCLn9tGnXVtVTcPDuxXYHjy8YirCI8sqTmOw0iEbQTGiTTg6jq+la2vEIV52AwAexFq6sXzkk+JiuFXL/BGeOUx/0GkaeQEnbfbE3Vpqlj2OWvRa6rrqXi5tmJ7QocXzYWYRXhkSU132kQiaCd0CCZHkRV17ey5RWqOAcDCkAvWt3J2DmszzFnuVm/BgLGKY/7DSAiCAm7b7aQWi0aA17+Ssa66koodpqd2K7AAu4ORlhFeOzmBDxuEImondAgmR5EVde3suUVqjgHAwpA9354vuKc5GOyUsj1G5wxTnncbxB5Cilh983WVG2aOgZe/krmuupKKHaandiuwALuDkZYRXjs5gQ8bhCJqJ3QIJkeRFXXt7LlFao4BwMK3D5wIl9j2E8oAkJfIbJS4LoNR45THvcbRt9FS9h9s7VbkyYfg5e/kr2uuhKKnWYntiuwgLuDEVYRHrs5AY8bRCJqJzRIpgdR1fWtbHmFKs7BgAJP15wIjZ2+0yOXVlYKF8ulRcYpj/tL84H+CbtvtsByLRcGXv5KwLrqSih2mp3YrsAC7g5GWEV47OYEPG4Qiaid0CCZHkRV17ey5RWqOAcDCrydcSI0du37gz2yUhDEQbfjlMf9A0kuYffNVvNPF3j5K/Ooq66EYqfZie0KLODuYIRVhMduTsDjBpGI2gkNkulBVHV9K1teoYpzMKjA6Qen8jX25wYIwkNkpcB1G44cpzzuN4y+i5aw+2ZrtyZNPkYvfx18XXUdEz/LTmxX4Al3RiOsIjx2UkIeNohE2E5okEwPoqrrW9nyClWcg0EFoNs6vK04K/GYrBRi+RYnjFMe91tknmBK2H2zNVGatg6hl7+Ouq66jomfZSe2K/CEO6MRVhEeOykhDxtEImwnNEimB1HV9a1seYUqzsGgAtivTJ8hr39xONmYrBTZ1EPtjFMe9w8kr4TdN1vNP13o5a9LpK66jomfZSe2K/CEO6MRVhEeOykhDxtEImwnNEimB1HV9a1seYUqzsGgAi+XnAqN3SA/WE3Bs62sFLNyhxAwTnncP4QcBsaE3TdbzT9d6OWvS6Suuo6Jn2UntivwhDujEVYRHjspIQ8bRCJsJzRIpgdR1fWtbHmFKs7BoALrkzUn8zWGfWkREPoMkZUCVW06bpzyuN80/A9cwu6brZ+KNPoIvfx1+HXVdUz8LDuxXYEn3BmNsIrw2EkJedggEmE7oUEyPYiqrm9lyytUcQ4GFrj4y8l8jX2cAkFwiKwUsGzLgeOUx/2W2XfYEnbfbO2UpM2H8OWvwq+rrkKamWQntivMIP4MR1hFePxkBD1qEIm4ndAgmR5EVde3suUVqjgHAwvc33EyNHbp+fOIslIQwkG345TH/QNJLmH3zVbzTxd8+asyqauuQpqZZCe2K8wg/gxHWEV4/GQEPWoQibid0CCZHkRV17ey5RWqOAcDC/w752RozPXmD7JSEMJBt+OUx/0DSS5h981W808XfPmrMqmrrkKamWQntivMIP4MR1hFePxkBD1qEIm4ndAgmR5EVde3suUVqjgHgwtAd9r6gG5+ygHtjMlKsTPxcB+OUx73DySzhN03W80/Xfjlr0mlrrqGaG6OndiuMMf4PR5hFeHxnRD2oEEkAndCg2R6EFVd38qWV6jiHAwucA190xC6HxcHtDMmK8XOxMN9OE553D+QzBJ232w1/3Thl78mlbrqGqK5OXZiu8Ic4/d4hFWEx3dC2IMGkQjcCQ2S6UFUdX0rW16hinMwuMAzdPMHz+8jykrBZXkwY+OUx/0DSSRh981W808XfvlrUqmrriGam2MntivMMX6PR1hFeHwnhD1oEInAndAgmR5EVde3suUVqjgHgwusT5A7lmK3iOCIfsZkpfiZd8CPximP+weSWsLum63mny788tekUlddQzQ3x05sV5hj/B6PsIrw+E4Ie9AgEoE7oUEyPYiqrm9lyytUcQ5GIPD7kROisd8P9MjcykphtmtBYJzyuN8CI8CQsPtmCyjVsiGCy18BWlddATQ7xU5sV5iFpIAIqwgPygdsG0Qicic0SKYHUdX1rWx5hSrOwQgEXi44IRp79fuIvKwUBHDQ7Tjlcf9AkkvYfbPV/NMluPwVudRVVwDNTrET2xVmISkgwirCg/IB2waRiNwJDZLpQVR1fStbXqGKczASgdN3TonGLp/pkbWVlcLq1sT8ccrjfhOQ8xAJu2+25iu1cITk8pej1lWX88zPsBPbFeYpvyIirCI84IRTYINIlIETGiTTg6jq+la2vEIV52AkAjfQO4TP0AtgHBONyUpBsw66Hac87h9Icgm7b7aaf7okl788mbrqcp75GXZiu8I85VdEhFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hyMRAB8h3D1jzMUjMlKIRBuN3Sc8rjfLnlGlrD7ZisrSosdyeUv56+rLueZn2EntivMU35FRFhFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BiAQuoHcIH685Q8GYrBQC4XZDxymP++2SZ2QJu2+2sqK02BFd/uIE6qqLcYAJdmK7AoCZQiKsIjzghOPSFiJRuFO1IJkeRFXXt7LlFao4ByMSeIJutbU+feMc8TFZKXDdhiPHKY/7DaPvoiXsvtnarUmTj0WXvziDuupiHGCCndiuAGCmkAirCA844bi0hUgU7lQtSKYHUdX1rWx5hSrOwcgEsG3U4xXniI/JSoHrNhw5Tnncbxh9Fy1h983Wbk2afCy7/KUp1FWX0iDxdmK7AsL5GRNhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4ByMTuL/ltL7Hznw+tSUrxbf7IT8YpzzuH0huCbtvtpp/umSXvzSduupSGiTeTmxXQDg/YyKsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYGQCH9CvUW+efL6QKCsFl+XBjI1THvcPJJGE3TdbzT9dsstfmk5ddSkNEm8ntisgnJ8xEVYRHnDCKbBBJMrACQ2S6UFUdX0rW16hinMwQoHbO07se+wc+iT9d3jhgawUBZHDOjxOedw/kGwSdt9sNf90CS9/YT511YUwULid2K4AgW6DIqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedghALv2EtbLyvOEx2TlQJVbTpunPK43zT8D1zC7putn4o0+kh4+QuzqKsuhIHC7cR2BQh0GxRhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4ByMVAF/auoLuf8qBDWOyUsyIHcbwOOVx/zCy+Hrm+mar+adLevnLEqqrLmPBou3EdgWMdIiKsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIORCoAvbb1j31vkyPpma6iO7Gzgyxk4mrD7Ziuw5Dor6eUvc6mrLmPBou3EdgWMdIiKsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIMRC9zccXLfY4/QLbm+wycfyEoxKXFoB8cpj/sHkk/C7put5p8u8eUvyqiuuggFDLYT2xVA1L7ZggsVFuj05EMyPcj+tMqWV6jiHJRY4AP7OerNxR/OFhqTlQKSbD1onPK43zr/F1/C7put5p8u8eUvyqiuuggFDLYT2xVA1L7ZggsVFuj05EMyPcj+tMqWV6jiHJRc4AH7NZ437KP0HJusFJzSwYyNUx73DySRhN03W80/XfLLX5JSXXUJCRprJ7YroKz9bUS4UlGBTk8+JNOD7M+qbHmFKs5BKQTAW5bem+8jLysFl+XBjI1THvcPJJGE3TdbzT9distfkFNddQEIHGontisEws5bBaYzD5MiGkQidCc0SKYHUdX1rWx5hSrOwSgE0FuWXjxyxsCYrBSAYPsh45TH/fYz+CRM2H2z1fzTpbj8BTnVVReAwKF2YrtCIOy8VWA68zApokEkQndCg2R6EFVd38qWV6jiHIxG4OKJU/weez81/mqPrBTfvof8YJzyuH8guSXsvtlq/unSXP54UnXVcQ480k5sV4BpI6wiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgNAKv4Mexns/WnPXsmKwUs3KHEDBOedw/hBwGxoTdN1vNP12ayx9Pqq46zoFH2ontCjBthFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hyMSuD2hpP8GbvFPkv/MyF/9Oct7//v9/6Nf+ZIdjY0U6C+2WrmqeBBVJc/L7kzWld9x8jtoZ3YrgAnE2EV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHoxJYn/3lNH/Gzk33f/h4/FH6//Fo78nfO3AYdeibrcN4nip/oU31x2XRytmJ7QpwASKsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYHQCz+BvH76dgruyacS76cNtHH376/7C23rvyd870EbucxR9szVXoUbGdZc/Cl9XHaWQxNmJ7Qowb4RVhAeccApsEIkycEKDZHoQVV3fypZXqOIcjFLgGsT8C94CdRpx71216bAFjq7vT4+Pj0/vbR9KG4Pff+wdGR84jH7fbB3G89Rf2Ro9T8o/hzsqdoUdMf5hhFWEB5/l3miDSMTohAbJ9CCqur4FdzFfBlDFORilwPvpK6f6M/ZnZdmP3O3tPn6Ul3z0vjq+/vPy5/p49e6I8bL/LU/Z2eDIYpPqmy1b/cJmKy9/kK+uOgghCrMT2xVg4AirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GK3A0zmnujN2a7m36fp2R6mdh+vV8JrW9t/LiWkvmWf09zHvb3uys2F//kJH+mZrocJLbbWXP+ZTVx1jkEXZie0KMHGEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHIxa4AoFvbR88ur9tsXXtu6P74/vtputu+NjtAzck/A59udxIsRNfUK74qGE3W/9ULHEPtLqyx+yr6sOIQiD7MR2BRg5wirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ5GLfCB3rJ0vXrkAGbG1nfjuyHMTIgYPr1e/z7+s14/Hv++PvUxfL2dvAOs7GzwQXFQ6ZsthyJGSKgvfwiurjqEIAyyE9sVYOQIqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORi9APqNxM37mWm/9O/u0f1rf1xF5sfeho3Wx+Xx8/Px5cefYwe49z93+x/X+uSQnQ3z6EERfbMVVGirjf7yR5zrqiME0hg7sV0BZo6wivCAE06BDSJRBk5okEwPoqrrW9nyClWcgzEI/L7lhHfGXm03gNh8PN039e/m+Hm9fl+dnJy/r5+Pb+xsf4ofs5edDTs1X/Zh32wtW3/Y3XD5Ax511QEAcYid2K4AQ0dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwRgE1mcvnPLO2D/0LcedOQ0/3L6ytV7/PT7+u167vLJVzlV2NpR1gkf6Ziu44Fo7w+UPWNZVBwDEIXZiuwIMHWEV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHYxH4d4Z+ev3l1OHNNi6N2LHTq/TK1up9feX0ma1CArKzoSASf7hvtuJrrnK0XP7zhnXV5/3lEXZiuwJMHWEV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHYxK4h2/r8HRWfKeMo2t07P745eszWy9+30aczFV2NkxKLHGwb7aWqLrC03T5z/rVVZ+1VwTYie0KMHaEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHIxN4OKB094de3S9/eeu8gKPh/tsXW7fSvxzfOx4n62pRGRnw5TCIsf6ZmuRsstNbZf/nF9d9Tl3zbid2K4Ac0dYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwdgE4BvJbzb/U7ut99Pj1ePL49XxsemXtrknJo3JzoZ5vaCIvtkKKrTVxnb5z7nXVZ9z14zbie0KMHeEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHIxR4Bl/ZedhhX7Ci+NtZGx9/fnbiKU7NrhRys4GN1urUN9sWSsYNN94+c9Q1lWfMVcN24ntCjB4hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hyMVeDmmlPPxv6ndlub9enft836rPIH/2VnQ1buJTt9s7Vk9QXe1suft6qrznvrRu3EdgWYPMIqwgNOOAU2iEQZOKFBMj2Iqq5vZcsrVHEOxixw/sjJZ2P3/0uvbT19fjngD/oTkVkh8I7sbMB1K0f2zVblAnvJmy9/FqSuOmutHLQT2xVg9AirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GLPA2+krp5+N/S/ttq7TPd+vpn758eExS9vQkZ0NBiPfqX2z5VvPamrmy58lq6vOWisH7cR2BRg9wirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ7GLLARfGxr8/A/853E9cn6s6wfZxO/aXiFv7fKPTfDmOxsmBGLG+6brbham5zslz9nX1edc9aO2YntCjB7hFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hyMWWCzuRVsLR7/V+63ld5FHCr7cpZ2XbtF7putz2ocfdVEdkrvFlL82OF0HntWkBxbLNevm1xd9RpVsxPbFeC8IqwiPOCEU2CDSJSBExok04Oo6vpWtjJBFedgzAKD+MUj55CP/an9kfLczt57vjg9H+4mdvfnYXW9eTw/vdp+JP7uz+p0tc16OHxy8pn+88XZ5fZFrvuz1Z++2fqse99sfZah5f95XP7l/Oqql331I3ZiuwJMH2EV4QEnnAIbRKIMnNAgmR5EVde3B7jZepf89OHTYe22Ho9uX/7cbDbnxxdPzw//3T9f/BruYHF+fPx0fzTcY+v8+PLp9L/hweN/9y+3/71u7v97eD4/FrzWx58psrOB1wocTdh9sxVYcp0V9BdbJz3MqquuxmIm2ontCgxePhRhFeGRZzXbaxCJmJ3QIJkeRFXXt7LlFao4B2MW2Iq/wD+SOAQ/Cz5Rz5HHjP36+gD8+fY3EH9tn5zj2+0ea/gu4s1w6Pxks/l7Mvzv1/Ze+tdXn+36v77ZGqqx6ZutbRWa/udy+RczrKtetDUM2IntCjB+hFWEB5xwCmwQiTJwQoNkehBVXd8e4mZrc38pSPhZ8kKYQLdG6OvR13ctz39vNm+fneuLYY91NnwX8eVovTnfbquu/lu/Hv2+vb09P3072r7L+HnUBUd2NrhYeogk7L7Z8qhlVQ3oL7aaoK66GouZaCe2KzB4+VCEVYRHntVsr0EkYnZCg2R6EFVd38qWV6jiHIxZIIlP3gGh5Pv39KU01Nrxf5+bp4HqfHgr8fWz83u4tdb58fCp+L9HH5vtHmzz8uvp39HN3fDv4fXofThw2V/Z2j6RfbO1rULT/5wu/0KOddULpqbDdmK7ApxAhFWEB5xwCmwQiTJwQoNkehBVXd8e5mbr4+xZkPK/03STKsGUhUI/jr5It5ut9dE2yeFz8puz4Y3D4WNaw65re1PTx19n719xKeSkb7a2z1ffbG2r0PQ/6C+2OoO66mosZqKd2K7A4OVDEVYRHnlWs70GkYjZCQ2S6UFUdX17mJutzb/T7ftn6L+3s0c0dOG4q5PhfcS/6ZWtzdXp++bP0fCdw5P/njbvJ9vPzQ+brOHBzc1n3OvL5nL4+NrDUd9sbZ+2vtla+OSdt4f+Ys/LFCLqqhdMTYftxHYFOIEIqwgPOOEU2CASZeCEBsn0IKq6vj3Qzdbmz/nwzhr87321/UD5AfxbXx79Otp+SmvYWW0+Vke//hueoPXx1dmvo23C59efD9ZnL9fD0K/HzfvZ0a/z/jbi5zPbN1vNn+DQX2x1FnXV1VjMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+vZQN1ubm+3Hl+B/H+e3cOyygR+v7z8A76/bLeXz8KLW2+crecMe7PPB82qz/opLAz9TTI9kZ4PJynNywu6bLc+aVtGC/mKrneuqq7GYiXZiuwKDlw9FWEV45FnN9hpEImYnNEimB1HV9a1seYUqzsGYBX7EBT9JPUxaX4g2Zz82DTy6Ptu+zrX99/mC1/bBtex5205B/tVRRZxNMX2zZSpf3GTHy38Cuq76hKH5kJ3YrgAnEWEV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHYxb4ERfd23TYbV1dbV8lOsB/65PLuy/s7wfvw8e5KvyTnQ0VAHSSfbOlq1v4LMfLf4K9rvqEofmQndiuACcRYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAdjFtgRF93bdJh3c/GxM/twHj4PdzTd+/cwdXAvSnpAdjZI1avF981WtdL6Cnte/vtkddX3/exH7MR2BTiLCKsIDzjhFNggEmXghAbJ9CCqur6VLa9QxTkYs8Cu+P3wSXLJv7tVlZeDJAia2OvJG1esatw8THY2aJKpMqdvtqqU1V/U9fLfw6urvmfncMBObFeA04iwivCAE06BDSJRBk5okEwPoqrrW9nyClWcgzELZOJXt1l3tvN4WD+UmPJZn0y+/fn3bPLwbA3YANnZwEpFDvbNVmS1DV6+l/8YpK762M2jbye2K8B5RFhFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BmAUy8fVq8kWfLCbrPB3QT/cQ+OS7iMPgb9lTR3JsW0GS9XMa7Jstp0LWlvG9/Me0ddXHbh59O7FdAc4jwirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ7GLJCLv0p/ZfrlVHLr+dxsod70u4ibTY3PyMvOhoUKsm/bN1v7NWnyiPPlP8qxrvrIzKVrJ7YrwIlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsGYBUbiz8Md1EX/Xs9kGYvEawQX3kUcrO7ohhB+tgdWG0q8b7aoEo233pd/nm5d9dzLp2cntivAmURYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwZgFxuIPF8KPLn1cXAtnjC1j+6V3EYebWUhf1psHl50N83pBEX2zFVRoq4375Z8B1VXPrJw6dmK7ApxKhFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hyMWWBP/Lf4Hgg358PvDx7Mv9K7iEMCj+LU57KWnQ1zamHjfbMVVmqbkf/lv8tTV33XyeuxndiuAOcSYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAdjFtgXvxb/DPOfU1nW+55xR8rvIg4Mq+Enq13/HU5dsrT7ZisrR7udCpf/TrJ11XeM3B7aie0KcDIRVhEecMIpsEEkysAJDZLpQVR1fStbXqGKczBmgQnxK/Fu6/3qYF7ceuJevXo+nyiH5ZDsbLA4uc7tmy3XctYTq3H5/9DWVf/x8XtkJ7YrwNlEWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsGYBabEf8tvDf90enMYNzhl3kUcSnHh/N1K2dkw9VwscqxvthYpu9y0yuX/jVFX/dvG8YGd2K4ApxNhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4B2MWmBS/W71NHmcOru9Pb4VfZGTUqg2x7yJuNi/OL23JzoZqWUuF+2ZLWrGF4utc/pRMXXVy8WztxHYFOJ8IqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORizwLT406nw7qaDzMfdybX3Z56m6QxH2XcRB91z3x/tkZ0Nhrx8p/bNlm89q6lVuvy/eOuq1yiKndiuAOcVYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAdjFiiIv66u5G8Lrv+cn923/c1E/l3EzeZZ+POQhfLRYdnZQLMWb/tma/GnAAOodfkn97rqWIayKDuxXQEmjrCK8IATToENIlEGTmiQTA+iqutb2fIKVZyDMQsUxe9OHotj5YHXu9XZzZN8n1ZWdB2ZeRdx8PJ9aUt2NrimahHrmy1L9QLn1rv8t0nUVa9RJjuxXQHOK8IqwgNOOAU2iEQZOKFBMj2Iqq5vZcsrVHEOxixQFn+9OP9XHi2PvD1en51e3z39a/AjXHPvInq/tCU7G8o1DR7pm63ggmvtKl7+A1JddW3O3Dw7sV2B48vGIqwiPLKk5jsNIhG0Exok04Oo6vpWtrxCFedgzAKc+NPZlfJNwffnh98XJ6cXNw/P4o/ac0TWsbl3EQf9lWqHWQCTnQ0FkfjDfbMVX3OVY9XLv2+2VM8JPKnuk5cwIjzghJtFogycqgXJ9CCqur6VLa9QxTkYswAnPtxT/fS3YbP08e/P3dXqeHV190e5aePpxKPz7yIOKf8Wy5YnyM6Gsk7wSN9sBRdca1f38q+rrs2Zm2cntitwfNlYhFWER5bUfKdBJIJ2QoNkehBVXd/Klleo4hyMWYATH8bWD/YbaL0NL3OtTi4b+Oj8/LuIQ8Ynjm9/ys6GmecibrhvtuJqbXKqe/nXVTclXphsJ7YrFND2D0dYRXjsZ8YeaRCJeJ3QIJkeRFXXt7LlFao4B2MW4MQ/x5xuoLV+2X50fuFbQwDvIm42Nw+zNYEDZGcDLFs7sG+2alfYSb/u5V9X3akEmYyd2K6QAXGdCKsIDy7HibEGkYjSCQ2S6UFUdX0rW16hinMwZgFO/Gvs4/b0EQibD3l7PF89OL5uNO+YRyDvIm42r2f5LEtPdjZYnFzn9s2WaznridW9/Ouq16iKndiuAOcVYRXhASecAhtEogyc0CCZHkRV17ey5RWqOAdjFuDEv8ferrx+ovnfzclyv+uDvIs45Oz4mz2ys+G73ks/6JutpZ8B0L/u5V9XHUxRFGYntivAwBFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMGYBTnxn7GX1e73TNTz8uDu9W+jVLehdxM0G3JMhNZCdDYhiSEzfbIWU2W5S9/Kvq27Pfl/BTmxX2KcqHImwivAopFc63CASoTqhQTI9iKqub2XLK1RxDsYswInvjq1vz7w+cDW8LflnVzrqMfYu4kDj9xF52dkQVYhZn77Zmi1RGwF1L/+66jUqaCe2K8B5RVhFeMAJp8AGkSgDJzRIpgdR1fWtbHmFKs7BmAU48Xzs75kst3x21nu7uFzgJvPwK1a/3faCbhXLyle90zdb1UvsY1D38q+r7lOBXMVObFfIiZhehFWEB5Pi1FCDSITphAbJ9CCqur6VLa9QxTkYswAnPhr7uLx0eitxs3lY4MUt8F3E4S7yV6PM1V3Z2aC28Z7YN1veFa2kV/fyr6teoyR2YrsCnFeEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHIxZgBPfG7tdGW5xmqu9nd/kB6r34HcRh1tteW0qZWdD9RKgBn2zhVZq4bi6l39d9RqlsxPbFeC8IqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgzAKc+P7YnzO3W8Gvry9iPycPv4u42cCvge1XKD8iOxvyuQv2+mZrweJLrOte/nXVJXmisXZiuwLKGvJrSIHpoHk3iEToTmiQTA+iqutb2fIKVZyDMQtw4hNjz6d+Px1477dzmyDdO3T1tHeodECwLytJpOOys4HXChztm63AYlus6l7+ddUteZfm2ontCiW2veMRVhEee4nxBxpEImAnNEimB1HV9a1seYUqzsGYBTjxqbG/jrut51OvLzhOkY6OSd4blMSObPKu7GzI5y7Y65utBYsvsa57+ddVl+SJxtqJ7Qooa39lC65UVKDTkw/J9CD7sypbXqGKc1BmAU58csxzt+WpNQm7c/Dpeqcz9/DyZS4CG5edDZhmQFTfbAUU2cOi7uVfV90j/7GGndiuMGYq9iOsIjyKCU4PNIhEoE5okEwPoqrrW9nyClWcgzELcOLTYy+nbp/b2gTutgTvIm4293fTuUuPys4GqXq1+L7ZqlZaX+G6l39ddd9KJDU7sV0BzivCKsIDTtjrORIa4uFO1YJkehD+vJQiZcsrVPGS1fa4WYATL4wd5G5L9s7gv/NC7sLDsrNBKF4vvG+26tXWVbnu5V9X3bUQX2J2YrsCnFeEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHIxZgBMvjT2fut0BYnhty+91shLv9rjoXUS3m8jLzgaOP3Ssb7ZCy603q3v511XXZ12eaSe2K5TpRiMRVhEeo7Tmug0iEbITGiTTg6jq+la2vEIV52DMApx4cezpzO8G8M9nIXeAEL2LuNlcPReTlwzIzgaJctXYvtmqWl4/8bqXf111vyr8KNmJ7Qo/NDOPIqwiPGbSHA83iESITmiQTA+iqutb2fIKVZyDMQtw4uWxx5XXbT+Hz0ddln3cRmTvIm42jz63XJWdDW7ZWoX6ZstawaD5dS//uuo1SmQntivAeUVYRXjACafABpEoAyc0SKYHUdX1rWx5hSrOwZgFOHFm7O7Cb7d1dcsYOQ0J30XcvK5cjGVng4ulh0jfbHlUMUCj7uVfV71GeezEdgU4rwirCA844RTYIBJl4IQGyfQgqrq+lS2vUMU5GLMAJ86N/ZbcSYET2mzWK7cffi4aCd9F3GxOXd7clJ0NRfrogb7Ziq640q/u5V9XXZkyO81ObFdgAXcHI6wiPHZzAh43iETUTmiQTA+iqutb2fIKVZyDMQtw4uzYlc8bbVuPN8cP3E8zS99F9PrQluxsmGZf4GjfbC1QdI1l3cu/rrom37k5dmK7whzj93iEVYTHd0LYgwaRCNwJDZLpQVR1fStbXqGKczBmAU6cHVufP7LjksHH2h/bkr6LuNk83EoSKMXKzoaSSvjxvtkKL7nOsO7lX1ddlzE/y05sV+AJd0YjrCI8dlJCHjaIRNhOaJBMD6Kq61vZ8gpVnIMxC3Di/Nj7mdNt1geby0feyzoqfhdx43OnLdnZYM3SbX7fbLmVsq5Q3cu/rnqNytiJ7QpwXhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMGYBTnxm7J/fu3+V30iUv4s43GnL4xsAsrNhpt5xw32zFVdrk1Pdy7+uuinxwmQ7sV2hgLZ/OMIqwmM/M/ZIg0jE64QGyfQgqrq+lS2vUMU5GLMAJz439rTafor8fvh4+/a/yX/FgSz6/k/dNxLl7yIOL7Z5/Ei27GzIarJkp2+2lqy+wLvu5V9XXZAmHGontisEws5bBaYzD5MiGkQidCc0SKYHUdX1rWx5hSrOwZgFOPHZsbvtZ60ufqf/xtG/t6XAPkY/RK0uZZUbu+33P/3TYfm7iJvNnQePh8Z+ZtWPJOyjL5/AJCqczhUkq9cfNqibXF11OElBoJ3YrgDjRlhFeMAJp8AGkSgDJzRIpgdR1fWtbGWCKs7BmAU48fmxy+EHm0ubre1x/N/LiSgcEP7x17yLuHm+AjzmQmRnw5xa2HjfbIWV2mZU9/Kvq27LfHq2ndiuME02cTTCKsJjIjXuUINIhOuEBsn0IKq6vpUtr1DFORizACc+PfZ8cXr+MAw9np9e/Tt7/t5sPV+cXf7bTkkBD8cnl5fv949fkdtfU7z787habQ+M/w1RKXw7+VPl7s/DavW8uT87Rz6Fv42+/nt1trrZvq/5Ojy4ft8RXA0vwH2GfA2N7Sf776eTh2UHZWeDTLtidN9sVSyup3Tdy7+uumcdSMtObFcgltk2wirCYzbRPKBBJAJ0QoNkehBVXd/Klleo4hyMWYATnxx7PLp9+TPcY+vhv/vni19/T9++Xtl6/O/+5fa/12ETlgL+nV08Pa23gyly2AadH1893x1N7J6GqH+nx3+e1htS2YbeHF1fP//+b7t/mvl3fnzx9Hx///K82t74/dfvl+fbt+T/KXg2YH2GfA3NqH0Ne/z+o+xswLgCovpmK6DIHhZ1L/+66h75jzXsxHaFMVOxH2EV4VFMcHqgQSQCdUKDZHoQVV3fypZXqOIcjFmAE58c+zW8c7j992ub6fHtn/Ovzdav7atd18N7bxSwPf75stdX5LDZOhuOnG8Pj/59SpxtP2RPKp+hx59bp9Jn73c0zulVqI+j183bUfqV7E//reD65Opq8xlCQztTyw+vHX6LWnY2lFmCR/pmK7jgWru6l39ddW3O3Dw7sV2B48vGIqwiPLKk5jsNIhG0Exok04Oo6vpWtrxCFedgzAKc+NTY67Cd2f57+2yvLza/T4fd08Xv16Pft7e3w5aGAj73Wdv/fUemfdbv7YfqR/8+N1tXw9bqW+VzS7ba3qT+FKjoZ/TH4H56NOyQTk9utq+efW62toJXqwEr7fG+hkb2092Hr13l9Ch2FGDHhGKj+mYrtt5qt7qXf111ddLMRDuxXYHBy4cirCI88qxmew0iEbMTGiTTg6jq+la2vEIV52DMApz41Ni/o+2nr7bbom37+3x43WjYPV38/nd0czf8e9hQwPdm6ztyc77dPP2+2E7P/31utn5fPA+Tv1Q+Q1e3Qxi02doKn128vL4ePQ2/tfh4+d/JW/LfCq6uB6xPQRrK3Qu9l4ldYSG0eFh2NhRlogf6Ziu64kq/upd/XXVlyuw0O7FdgQXcHYywivDYzQl43CASUTuhQTI9iKqub2XLK1RxDsYswIlPjX1stzPDv/X2NaTNavg56vOT92FjQ8c33w8+X1ka/rcTyW+2Xs5/Jss3W+/b3d8b0Z3epM3WQJO+i5g2W1vwYQj65/EJednZAGFFBPXNVkSVHTzqXv511R3S35OwE9sV9qBKByKsIjxK+RWON4hEpE5okEwPoqrrW9nyClWcgzELcOKTY1cnw/uIww0/r07fN3+Ohq8fXpxfbDc2n8dfh/fvKOD36mP9ueP5jvzc8JRe2fq9el/9+1aRb7bWR8Ons86Hzdb7wPBxcr/59B8E7683A9anIA1NJrZ3cEjQ+k92Nljd3Ob3zZZbKesK1b3866rXqIyd2K4A5xVhFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4B2MW4MQnx9aXR7+OhrcCP1ZHv/7bZnvx+/Jh+wLW9dD/9Ti8dPQV8Lb67+h1+/LWdyS72RrC/7v+VpFvtjYPR8f/3f/3tHn9dXR8dLnefPoPgr8+sT4FaWgysb2Dl9tPftn+yc4Gm5fj7L7ZcixmTam6l39d9Rp1sRPbFeC8IqwiPOCEU2CDSJSBExok04Oo6vpWtrxCFedgzAKceGHs4zW95PP+uk4R76fDi13DLus1fZxrQwHf878jv49MPvjY/h7h+kt9MoI9uP7mef34CVyf/Nt5hep9d+gnaPLR8Ekv6z/Z2WB1c5vfN1tupawrVPfyr6teozJ2YrsCnFeEVYQHnHAKbBCJMnBCg2R6EFVd38qWV6jiHIxZgBOHx55WKfTznqbwrP3Aa+A2D/uz+COa30VMik8TN6ngvfZGZWfD3vSlDvTN1lKVF/rWvfzrqgtThcLtxHYFCHQbFGEV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHYxbgxPGx63SbBOtLQV9fAPx8nQw35yM1v4uYFP9NfG+S99oblZ0Ne9OXOtA3W0tVXuhb9/Kvqy5MFQq3E9sVINBtUIRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcjFmAE8fHPk4/X9Qy3yzh8zPp/6wvkH1xf76XqPpdxCSwPsELUIiUnQ0FkfjDfbMVX3OVY93Lv666KuGZSXZiu8IM4s9whFWEx09G0KMGkYjbCQ2S6UFUdX0rW16hinMwZgFOXDD2/PlGopnm5nHw/L3zGSsBwl7o+/aFNv27iMMtvswgsrNhL4OlDvTN1lKVF/qaLzjWr646a60ctBPbFWD0CKsIDzjhFNggEmXghAbJ9CCqur6VLa9QxTkYswAnLhnbvpH4emzZnWznvgzv3H3YX1D6Ah/ubLpJ7yLufkYez+pyuMOF7Z/sbLB5Oc7umy3HYtaUqnv511WvURc7sV0BzivCKsIDTjgFNohEGTihQTI9iKqub2XLK1RxDsYswIlLxj6GbyQ+HVs+bfV+O2y3Tj82j26brdPt/e2HLzi+/9btmm7Mn9eXnQ2SeleN7ZutquX1E697+ddV96vCj5Kd2K7wQzPzKMIqwmMmzfFwg0iE6IQGyfQgqrq+lS2vUMU5GLMAJy4aezrf3Byb7kz1Ovwyz+8/m1P6VWmR/VTw+fHL9l3E+1PdXmtj/3VE2dkwlcMix/pma5Gyy03rXv511eXZzs+wE9sV5im/IiKsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYMwCnDg69vb5gtblw/mx7aWgp+Ozu6u/x+eo71zc9fHp1dPz6bFyr2X6vFdik50Nc/mEjffNVlipbUZ1L/+66rbMp2fbie0K02QTRyOsIjwmUuMONYhEuE5okEwPoqrrW9nyClWcgzELcOLw2MPJ2cXt4+nJsSz7Pf374+Pj1fHV3nHlgdvTk5PVsXqvtbHf+8FYD2Xe5ml9s2UuYYxA3cu/rnqNCtmJ7QpwXhFWER5wwimwQSTKwAkNkulBVHV9K1teoYpzMGYBThwfe786Pj45OT4e3rQz/bsedlvH6Z5dJp00+fF0K6d9XWv4qL75DU3Z2eCQso9E32z51LG6St3Lv656jeLYie0KcF4RVhEecMIpsEEkysAJDZLpQVR1fStbXqGKczBmAU5cMvZ8ut3ZmG8Dej6IPEl8udjnM9Ney+G2g7KzgcsldKxvtkLLrTere/nXVddnXZ5pJ7YrlOlGIxFWER6jtOa6DSIRshMaJNODqOr6Vra8QhXnYMwCnLhobH0zvLJ1JpoyEbwetmxO9zTdbP4NYqaP7J9tb0dh+Sc7GyxOrnP7Zsu1nPXE6l7+ddVrVMVObFeA84qwivCAE06BDSJRBk5okEwPoqrrW9nyClWcgzELcOLCsX+rk+GuDW9/v36OWjj7K/z95PifTeHb9+35+Pj5u6d5cGHd98nOBg1ilTl9s1WlrP6idS//uur+1XB4KTrkN3S+Mo8ob4SH8IlsEIkycEKDZHoQVV3fypZXqOIcjFmAExePPZzcbd9MPL0fbm6l/Le+GQRMCsl4fb8lOTGQDDrXtr3acNcJZRUWntY3Wws/Aah93cu/rjqaoyTOTmxXgHkjrCI84IRTYINIlIETGiTTg6jq+la2vEIV52DMApy4eOz97Pj68eXP9fFK+/7b++r4wqaQoAedgeTOQLLVuX0UlyCfIDsb8rkL9vpma8HiS6zrXv511SV5orF2YrsCyhryIlpgOmjeDSIRuhMaJNODqOr6Vra8QhXnYMwCnLh0bL06fVlv//09Xele27IrJGYnnXvZs7lfL+v8fcWQI32zFVJmu0ndy7+uuj37fQU7sV1hn6pwJMIqwqOQXulwg0iE6oQGyfQgqrq+lS2vUMU5GLMAJy4duz9Oe61ht6W845ZdITE76TzeSkswipedDaPJy3X7Zmu52ouc617+ddVFiYLBdmK7Aojq8QGzeavAdOZhUkSDSITuhAbJ9CCqur6VLa9QxTkYswAnLh07vfp8XWv7v2vdLarsConZSefpt7QEo3jZ2TCavFy3b7aWq73Iue7lX1ddlCgYbCe2K4CofbMFFyos0OnJh2R6kP1plS2vUMU5KLMAJy4cezv+873Z+nOs+U6iXSEhe+m8WG9mLzsbhPWuF943W/Vq66pc9/Kvq+5aiC8xO7FdAc4rwirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ7GLMCJz42tn+93/90cP39vtp6Pb3aHwMd2hWSE6CBfNDT/Xo/sbJird9h432yFldpmVPfyr6tuy3x6tp3YrjBNNnE0wirCYyI17lCDSITrhAbJ9CCqur6VLa9QxTkYswAnzo+93d3/+95cbR+8Zq9svWZjWMeukHwQnX/39x98gpvNq/U3sWVnwxxO2HjfbIWV2mZU9/Kvq27LfHq2ndiuME02cTTCKsJjIjXuUINIhOuEBsn0IKq6vpUtr1DFORizACfOjt0/fox2UB87n5S6Oh2PjoInu3aFJIvpfNzPvbr1tmJLMD8oOxvm9YIi+mYrqNBWm7qXf111a+5T8+3EdoUprsljEVYRHpPJlQ82iESwTmiQTA+iqutb2fIKVZyDMQtw4szYx83b/nbp7vvbiC/Hd/vDwBG7QjIBdZ4fmRSHofczfnx2VHY2zMpFBfTNVlSljT51L/+66sbUJ6fbie0Kk2BTByOsIjymcmOONYhEtE5okEwPoqrrW9nyClWcgzELcOLlsY/bqReu3uk+Wy+nq3dga7UfYldImqjO38dyjsPIevj5IdM/2dlgsvKc3DdbntWsqFX38q+rXqMsdmK7ApxXhFWEB5xwCmwQiTJwQoNkehBVXd/Klleo4hyMWYATL4/dTO21hk9trY6vHl8er45Xmk9sbfdJdoW020J1/vC/ftg3W8M5IDulyycNMFLhdK4gCSQSFFI3ubrqNUpkJ7YrwHlFWEV4wAmnwAaRKAMnNEimB1HV9a1sZYIqzsGYBTjx4tj9xHuIn5uc9/TbiHe617W2EnaFtNtCdW6LSW4HrOWVnQ0sSuRgwj76sgxMwlrviSJVkJxwWehQ3eTqqtcomZ3YrgDnFWEV4QEnnAIbRKIMnNAgmR5EVde3spUJqjgHYxbgxEtjb49pQzP5/9cX7ataJGdXSEqQzr+nUpbb49byys4GjiR0rG+2QsutN7Oen7xzXXXeWzdqJ7YrwOQRVhEecMIpsEEkysAJDZLpQVR1fStbXqGKczBmAU68NHY3/Sbi5xbn/oH2TLr2btjIbf+b/DcW3/Y/g5+vL1/Xn/+bnMcdvCtluT1uLa/sbOBIQsf6Ziu03Hoz6/nJO9dV5711o3ZiuwJMHmEV4QEnnAIbRKIMnNAgmR5EVde3suUVqjgHYxbgxAtj63tm83L585M9TFR56OJ6vb78XRgfi2/72+C/Rzf3b5//K0xkDj++F9LcHraWV3Y2MCCxQ32zFVtvtZv1/OSN66rz3rpRO7FdASaPsIrwgBNOgQ0iUQZOaJBMD6Kq61vZ8gpVnIMxC3DihbHn/F6m+UZmvB/KR+d7281W8d9YnPr3p8OUz/8VpxYH3v4U0twetpZXdjYwILFDfbMVW2+1m/X85I3rqvPeulE7sV0BJo+wivCAE06BDSJRBk5okEwPoqrrW9nyClWcgzELcOKFsfTC1u3jw9nq8z3Dh9Xp1ef+6+5s9bjd/zydn17+/dnd7EXePt6fXa23/189re/Ozre/8vNydXb2e/hc/Xazdfew/ne5/Xc7DJAYiZMu9Yfgu9Nfl78///cdniy+J/8gPF2croYESHVQ454xa3k57UJ1WzjcN1stPAsAg/X85C3qqvPeulE7sV0BJo+wivCAE06BDSJRBk5okEwPoqrrW9nyClWcgzELcOKFsbTZWh1f/rk9GvZJ9//dPV38GvZJd//dP61+Xa0f/rt7vv3vZ7e1F7k6vvjztB5uE/H0++jq6un6v+HLjXd3z39Wq7TZGjZcb4+Pjw//DRs3EiPx773Wl9l2d/ZyefLn6fN/3+HJgiYPXl+wD0c3z48332FbNe4Zs5aX0y5Ut4XDfbPVwrMAMFjPT96irjrvrRu1E9sVYPIIqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORizACdeGPvabJ0NG5Xz6/XHr+Fm8R/HN8ODYeD9v6vPdn11Sdui9Wocudq+65cOHw/7q49fXx+Ifzv69/nK1tdbiZen70l0ECNxEv3pf74UtnW4G/737f1p8d3bQdi+WPYTtu0wz1i/qen2FGAKVDhD1IcrnM4VJNXpuU+sm1xddfdiDIJ2YrsCnFeEVYQHnHAKbBCJMnBCg2R6EFVd38pWJqjiHIxZgBMvjH1ttrafYr++WP872r6GdbV9sH0v8fzq79H17c3N+eeGajgw7KrGkavPz2V9Hj67GQJOh+3a283q9PToaWezdXM83EOCxEh8q7f999PPNlsUvv60+O59I/z9hP1W/ZRinrGP00IJ0MOMNiqxRFzC7vfZWqL2Is+6l39ddVGiYLCd2K4AonrsDOetAtOZh0kRDSIRuhMaJNODqOr6Vra8QhXnYMwCnHhh7GuzdTNsVYbN1t+j7X21rldfDy6uXo5+3w3/UtR2O7O62QbsRH4eSIdX21eatputs/Onv/+O/vxsth4+34gkseRyMbyvmP799LPNFoUn8e/eN8LL54Zw/TMwqDHPWN9sbU8BpkCFM0R9uMLpXEFSnZ77xLrJ1VV3L8YgaCe2K8B5RVhFeMAJp8AGkSgDJzRIpgdR1fWtbGWCKs7BmAU48cJYvtl6H3ZIw4bqav0+vC61Xp9cpQNpT/T5f9psfUdObLa27yAOL1f9bLaeP2UH0a368Pbkl/hnJ+tnmy0KT7ur7973ZuvryM/AIMU8Y/2HqLenAFOgwhmiPlzhdK4gqU7PfWLd5OqquxdjELQT2xXgvCKsIjzghFNgg0iUgRMaJNODqOr6VrYyQRXnYMwCnHhhLN9srS9P39aPRy/DHa/O3tf3R1frq5PhjcV/z7Qv+t7pfEdObLY+ju7X7+c/m61//w2vdm3/kRiJp6M/Zp8vhW0/rvX5ma3v8GRBk3cQTv6tP16+w7ZqzDPWN1vbU4ApUOEMUR+ucDpXkFSn5z6xbnJ11d2LMQjaie0KcF4RVhEecMIpsEEkysAJDZLpQVR1fStbmaCKczBmAU68MDbabL2tjv773Bq9nR79Wg3v9L1fHf3679fPneTpla01RU5stoZd2q//7v77fmXr4Wj7b/j0PImROG22vvvZK1vf4cmCJv9stt4vj34dXXyHzWy23laFEqCHZWcDqlo9LmH3z2xVL7TVoO7lX1fdmvvUfDuxXWGKa/JYhFWEx2Ry5YMNIhGsExok04Oo6vpWtrxCFedgzAKceGHs59NYXzuf178f6dG/r59FfP/7+nWE9kbjyNHxofv+d7h7xNQ/EiNxihn3v45TeOrmve2xt7/DjSa2doTIPGP/LgolQA8z2qjEEnF9s7VE1RWedS//uuqKdGen2IntCrOQFBBhFeFB+YBtg0hE7oQGyfQgqrq+lS2vUMU5GLMAJ14Y29tsbTcvh/uPecb+XhZKgB5mtFGJJeL6ZmuJqis8617+ddUV6c5OsRPbFWYhKSDCKsKD8gHbBpGI3AkNkulBVHV9K1teoYpzMGYBTrwwBm623i7Sv88Xkrz2YhVEmWfs+bpQAvQwo41KLBHXN1tLVF3hWffyr6uuSHd2ip3YrjALSQERVhEelA/YNohE5E5okEwPoqrrW9nyClWcgzELcOKFset76N/ddfp3B0WDQRVEmQ3V0+9CCdDDsrMBVa0e1zdb1UvsY1D38q+r7lOBXMVObFfIiZhehFWEB5Pi1FCDSITphAbJ9CCqur6VLa9QxTkYswAnXhiTpVgQaecwk86fWyMmo21Urjo9YfcPyFctsod43cu/rrpH/mMNO7FdYcxU7EdYRXgUE5weaBCJQJ3QIJkeRFXXt7LlFao4B2MW4MQLY7IUCyLtHGbSebgzYjLaRuWq0xN232xVLbKHeN3Lv666R/5jDTuxXWHMVOxHWEV4FBOcHmgQiUCd0CCZHkRV17ey5RWqOAdjFuDEC2OyFAsi7Rxm0rl7MGIy2kblqtMTdt9sVS2yh3jdy7+uukf+Yw07sV1hzFTsR1hFeBQTnB5oEIlAndAgmR5EVde3suUVqjgHYxbgxAtjshQLIu0cZtK5fTRiMtpG5arTE3bfbFUtsod43cu/rrpH/mMNO7FdYcxU7EdYRXgUE5weaBCJQJ3QIJkeRFXXt7LlFao4B2MW4MQLY7IUCyLtHGbS+f1kxGS0jcpVpyfsvtmqWmQP8bqXf111j/zHGnZiu8KYqdiPsIrwKCY4PdAgEoE6oUEyPYiqrm9lyytUcQ7GLMCJF8ZkKRZE2jnMpHP1YsRktI3KVacn7L7ZqlpkD/G6l39ddY/8xxp2YrvCmKnYj7CK8CgmOD3QIBKBOqFBMj2Iqq5vZcsrVHEOxizAiRfGZCkWRNo5zKRz8c+IyWgblatOT9h9s1W1yB7idS//uuoe+Y817MR2hTFTsR9hFeFRTHB6oEEkAnVCg2R6EFVd38qWV6jiHIxZgBMvjMlSLIi0c5hJZ/VmxGS0jcpVpyfsvtmqWmQP8bqXf111j/zHGnZiu8KYqdiPsIrwKCY4PdAgEoE6oUEyPYiqrm9lyytUcQ7GLMCJF8ZkKRZE2jnMpHP6YcRktI3KVacn7L7ZqlpkD/G6l39ddY/8xxp2YrvCmKnYj7CK8CgmOD3QIBKBOqFBMj2Iqq5vZcsrVHEOxizAiRfGZCkWRNo5zKRjri6j3U4B9kkSdt9s7VemsSPmE5TNp646a60ctBPbFWD0CKsIDzjhFNggEmXghAbJ9CCqur6VLa9QxTkYswAnXhiTpVgQaedwOZ31iZWyrG1Vrjo/YffNVtUie4jXvfzrqnvkP9awE9sVxkzFfoRVhEcxwemBBpEI1AkNkulBVHV9K1teoYpzMGYBTrwwJkuxINLO4XI672dWyrK2Vbnq/ITdN1tVi+whXvfyr6vukf9Yw05sVxgzFfsRVhEexQSnBxpEIlAnNEimB1HV9a1seYUqzsGYBTjxwpgsxYJIO4fL6byeWynL2lblqvMTdt9sVS2yh3jdy7+uukf+Yw07sV1hzFTsR1hFeBQTnB5oEIlAndAgmR5EVde3suUVqjgHYxbgxAtjshQLIu0cLqfz99JKWda2Kledn7D7ZqtqkT3E617+ddU98h9r2IntCmOmYj/CKsKjmOD0QINIBOqEBsn0IKq6vpUtr1DFORizACdeGJOlWBBp53A5nedrK2VZ26pcdX7C7putqkX2EK97+ddV98h/rGEntiuMmYr9CKsIj2KC0wMNIhGoExok04Oo6vpWtrxCFedgzAKceGFMlmJBpJ3D5XT+3Fgpy9pW5arzE3bfbFUtsod43cu/rrpH/mMNO7FdYcxU7EdYRXgUE5weaBCJQJ3QIJkeRFXXt7LlFao4B2MW4MQLY7IUCyLtHC6n83BrpSxrW5Wrzk/YfbNVtcge4nUv/7rqHvmPNezEdoUxU7EfYRXhUUxweqBBJAJ1QoNkehBVXd/Klleo4hyMWYATL4zJUiyItHO4nM7dg5WyrG1Vrjo/YffNVtUie4jXvfzrqnvkP9awE9sVxkzFfoRVhEcxwemBBpEI1AkNkulBVHV9K1teoYpzMGYBTrwwJkuxINLO4XI6N3+slGVtq3LV+Qm7b7aqFtlDvO7lX1fdI/+xhp3YrjBmKvYjrCI8iglODzSIRKBOaJBMD6Kq61vZ8gpVnIMxC3DihTFZigWRdg6X0/n9ZKUsa1uVq85P2H2zVbXIHuJ1L/+66h75jzXsxHaFMVOxH2EV4VFMcHqgQSQCdUKDZHoQVV3fypZXqOIcjFmAEy+MyVIsiLRzuJzO5V8rZVnbqlx1fsLum62qRfYQr3v511X3yH+sYSe2K4yZiv0IqwiPYoLTAw0iEagTGiTTg6jq+la2vEIV52DMApx4YUyWYkGkncPldC7+WSnL2lblqvMTdt9sVS2yh3jdy7+uukf+Yw07sV1hzFTsR1hFeBQTnB5oEIlAndAgmR5EVde3suUVqjgHYxbgxAtjshQLIu0cLqezerNSlrWtylXnJ+y+2apaZA/xupd/XXWP/McadmK7wpip2I+wivAoJjg90CASgTqhQTI9iKqub2XLK1RxDsYswIkXxmQpFkTaOVxO5/TDSlnWtipXnZ+w+2arapE9xOte/nXVPfIfa9iJ7QpjpmI/wirCo5jg9ECDSATqhAbJ9CCqur6VLa9QxTkYswAnXhiTpVgQaedwOR17ccva7eQ/QZKw+2ZrojRtHbKfoVw+ddU5Z+2YndiuALNHWEV4wAmnwAaRKAMnNEimB1HV9a1seYUqzsGYBTjxwpgsxYJIO4eL6axPzJBFbbNyVYGE3TdbVYvsIV738q+r7pH/WMNObFcYMxX7EVYRHsUEpwcaRCJQJzRIpgdR1fWtbHmFKs7BmAU48cKYLMWCSDuHi+m8n5khi9pm5aoCCbtvtqoW2UO87uVfV90j/7GGndiuMGYq9iOsIjyKCU4PNIhEoE5okEwPoqrrW9nyClWcgzELcOKFMVmKBZF2DhfTeVuZIYvaZuWqAgm7b7aqFtlDvO7lX1fdI/+xhp3YrjBmKvYjrCI8iglODzSIRKBOaJBMD6Kq61vZ8gpVnIMxC3DihTFZigWRdg4X0/l3YYYsapuVqwok7L7ZqlpkD/G6l39ddY/8xxp2YrvCmKnYj7CK8CgmOD3QIBKBOqFBMj2Iqq5vZcsrVHEOxizAiRfGZCkWRNo5XEzn76UZsqhtVq4qkLD7ZqtqkT3E617+ddU98h9r2IntCmOmYj/CKsKjmOD0QINIBOqEBsn0IKq6vpUtr1DFORizACdeGJOlWBBp53AxnedrM2RR26xcVSBh981W1SJ7iNe9/Ouqe+Q/1rAT2xXGTMV+hFWERzHB6YEGkQjUCQ2S6UFUdX0rW16hinMwZgFOvDAmS7Eg0s7hYjp/bsyQRW2zclWBhN03W1WL7CFe9/Kvq+6R/1jDTmxXGDMV+xFWER7FBKcHGkQiUCc0SKYHUdX1rWx5hSrOwZgFOPHCmCzFgkg7h4vpPN6aIYvaZuWqAgm7b7aqFtlDvO7lX1fdI/+xhp3YrjBmKvYjrCI8iglODzSIRKBOaJBMD6Kq61vZ8gpVnIMxC3DihTFZigWRdg4X03m4M0MWtc3KVQUSdt9sVS2yh3jdy7+uukf+Yw07sV1hzFTsR1hFeBQTnB5oEIlAndAgmR5EVde3suUVqjgHYxbgxAtjshQLIu0cLqZz92CGLGqblasKJOy+2apaZA/xupd/XXWP/McadmK7wpip2I+wivAoJjg90CASgTqhQTI9iKqub2XLK1RxDsYswIkXxmQpFkTaOVxM5/bRDFnUNitXFUjYfbNVtcge4nUv/7rqHvmPNezEdoUxU7EfYRXhUUxweqBBJAJ1QoNkehBVXd/Klleo4hyMWYATL4zJUiyItHO4mM7NHzNkUdusXFUgYffNVtUie4jXvfzrqnvkP9awE9sVxkzFfoRVhEcxwemBBpEI1AkNkulBVHV9K1teoYpzMGYBTrwwJkuxINLO4WI6v5/MkEVts3JVgYTdN1tVi+whXvfyr6vukf9Yw05sVxgzFfsRVhEexQSnBxpEIlAnNEimB1HV9a1seYUqzsGYBTjxwpgsxYJIO4eL6Vw/myGL2mblqgIJu2+2qhbZQ7zu5V9X3SP/sYad2K4wZir2I6wiPIoJTg80iESgTmiQTA+iqutb2fIKVZyDMQtw4oUxWYoFkXYOF9O5ejFDFrXNylUFEnbfbFUtsod43cu/rrpH/mMNO7FdYcxU7EdYRXgUE5weaBCJQJ3QIJkeRFXXt7LlFao4B2MW4MQLY7IUCyLtHC6mc/nXDFnUNitXFUjYfbNVtcge4nUv/7rqHvmPNezEdoUxU7EfYRXhUUxweqBBJAJ1QoNkehBVXd/Klleo4hyMWYATL4zJUiyItHO4mM7FPzNkUdusXFUgYffNVtUie4jXvfzrqnvkP9awE9sVxkzFfoRVhEcxwemBBpEI1AkNkulBVHV9K1teoYpzMGYBTrwwJkuxINLO4WI6569myKK2WbmqQMLum62qRfYQr3v511X3yH+sYSe2K4yZiv0IqwiPYoLTAw0iEagTGiTTg6jq+la2vEIV52DMApx4YUyWYkGkncPFdFZvZsiitlm5qkDC7putqkX2EK97+ddV98h/rGEntiuMmYr9CKsIj2KC0wMNIhGoExok04Oo6vpWtrxCFedgzAKceGFMlmJBpJ3DxXRW72bIorZZuapAwu6brapF9hCve/nXVffIf6xhJ7YrjJmK/QirCI9igtMDDSIRqBMaJNODqOr6Vra8QhXnYMwCnHhhTJZiQaSdw8V0zvpm6/NZKhbI/zmscDpXkPTPW6tYN7m66tqcuXl2YrsCx5eNRVhFeGRJzXcaRCJoJzRIpgdR1fWtbGWCKs7BmAU48cKYLMWCSDuHi+mcfpghi9pm5aoCCbu/slW1yB7idS//uuoe+Y817MR2hTFTsR9hFeFRTHB6oEEkAnVCg2R6EFVd38qWV6jiHIxZgBMvjMlSLIi0c7iYTt9spSepWCD/57DC6VxB0j9vrWLd5Oqqa3Pm5tmJ7QocXzYWYRXhkSU132kQiaCd0CCZHkRV17eylQmqOAdjFuDEC2OyFAsi7RwupnOyNkMWtc3KVQUSdn9lq2qRPcTrXv511T3yH2vYie0KY6ZiP8IqwqOY4PRAg0gE6oQGyfQgqrq+lS2vUMU5GLMAJ14Yk6VYEGnncDGdvtlKT1KxQP7PYYXTuYKkf95axbrJ1VXX5szNsxPbFTi+bCzCKsIjS2q+0yASQTuhQTI9iKqub2UrE1RxDsYswIkXxmQpFkTaOVxM58TOWNS2S9dUSNj9la2aNXbRrnv511V3KcBIxE5sVxghlbsRVhEe5QwnRxpEIk4nNEimB1HV9a1seYUqzsGYBTjxwpgsxYJIO4eL6TjUtqjdTvpTJAm7b7amatPUMYdTlMmnrjpjrB6yE9sVYPgIqwgPOOEU2CASZeCEBsn0IKq6vpUtr1DFORizACdeGJOlWBBp53AxHYfaFrXbSX+KJGH3zdZUbZo65nCKMvnUVWeM1UN2YrsCDB9hFeEBJ5wCG0SiDJzQIJkeRFXXt7LlFao4B2MW4MQLY7IUCyLtHC6m41DbonY76U+RJOy+2ZqqTVPHHE5RJp+66oyxeshObFeA4SOsIjzghFNgg0iUgRMaJNODqOr6Vra8QhXnYMwCnHhhTJZiQaSdw8V0HGpb1G4n/SmShN03W1O1aeqYwynK5FNXnTFWD9mJ7QowfIRVhAeccApsEIkycEKDZHoQVV3fypZXqOIcjFmAEy+MyVIsiLRzuJiOQ22L2u2kP0WSsPtma6o2TR1zOEWZfOqqM8bqITuxXQGGj7CK8IATToENIlEGTmiQTA+iqutb2fIKVZyDMQtw4oUxWYoFkXYOF9NxqG1Ru530p0gSdt9sTdWmqWMOpyiTT111xlg9ZCe2K8DwEVYRHnDCKbBBJMrACQ2S6UFUdX0rW16hinMwZgFOvDAmS7Eg0s7hYjoOtS1qt5P+FEnC7putqdo0dczhFGXyqavOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm9lyytUcQ7GLMCJF8ZkKRZE2jlcTMehtkXtdtKfIknYfbM1VZumjjmcokw+ddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9a1seTXfpNwsoMhUlqLCIHZKMR3ocuBZi9r8tKVHE3bfbC39PMz6O5yijEdddcZYPWQntivA8BFWER5wwimwQSTKwAkNkulBVHV9K1tezXsls4AiU1mKCoPYKcV0oMuBZy1q89OWHk3YfbO19PMw6+9wijIeddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9a1seT390Dt9zjQLKPxlKSoMYqcU04EuB561qM1PW3o0YffN1tLPw6y/wynKeNRVZ4zVQ3ZiuwIMH2EV4QEnnAIbRKIMnNAgmR5EVde3suV19aZ3+pxpFlD4y1JUGMROKaYDXQ48a1Gbn7b0aMLum62ln4dZf4dTlPGoq84Yq4fsxHYFGD7CKsIDTjgFNohEGTihQTI9iKqub2XL68U/vdPnTLOAwl+WosIgdkoxHehy4FmL2vy0pUcTdt9sLf08zPo7nKKMR111xlg9ZCe2K8DwEVYRHnDCKbBBJMrACQ2S6UFUdX0rW16vXvROnzPNAgp/WYoKg9gpxXSgy4FnLWrz05YeTdh9s7X08zDr73CKMh511Rlj9ZCd2K4Aw0dYRXjACafABpEoAyc0SKYHUdX1rWx5/f2kd/qcaRZQ+MtSVBjETimmA10OPGtRm5+29GjC7putpZ+HWX+HU5TxqKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm9ly+u9LHwf6+5h/1jtI1bm2nxC/WI60OXAmxW1+WlLjybsvtla+nmY9Xc4RRmPuuqMsXrITmxXgOEjrCI84IRTYINIlIETGiTTg6jq+la2vP650Tt9zjQLKPxlKSoMYqcU04EuB561qM1PW3o0YffN1tLPw6y/wynKeNRVZ4zVQ3ZiuwIMH2EV4QEnnAIbRKIMnNAgmR5EVde3suX15Urv9DnTLKDwl6WoMIidUkwHuhx41qI2P23p0YTdN1tLPw+z/g6nKONRV50xVg/Zie0KMHyEVYQHnHAKbBCJMnBCg2R6EFVd38qW1/czvdPnzDergMJflqLCIHZKMR3ocuBZi9r8tKVHE3bfbC39PMz6O5yijEdddcZYPWQntivA8BFWER5wwimwQSTKwAkNkulBVHV9K1xezXeANwvIUxWmKDeInVFMB7oceNaiNj9t6dGE3TdbSz8Ps/4OpyjjUVedMVYP2YntCjB8hFWEB5xwCmwQiTJwQoNkehBVXd8Kl9dz6422zl/1rMqZwhSVLmHTiulAlwOPWdTmpy09mrD7Zmvp52HW3+EUZTzqqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrrW+HyevOot/qc+fuPUUA+XZii3CB2RjEd6HLgWYva/LSlRxN232wt/TzM+jucooxHXXXGWD1kJ7YrwPARVhEecMIpsEEkysAJDZLpQVR1fStcXv/81lt9zlzg64jCFI0JVp9eTAe6HHi8ojY/benRhN03W0s/D7P+Dqco41FXnTFWD9mJ7QowfIRVhAeccApsEIkycEKDZHoQVV3fCpfXt5Xe6nPm67lRQD5dmKLcIHZGMR3ocuBZi9r8tKVHE3bfbC39PMz6O5yijEdddcZYPWQntivA8BFWER5wwimwQSTKwAkNkulBVHV9K11eT9/1Xp8zTz6MAuLp0hTFBrETiulAlwPPWtTmpy09mrD7Zmvp52HW3+EUZTzqqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrrW+nyav7M1bX1F3/EuUpTFBvETiimA10OPGtRm5+29GjC7putpZ+HWX+HU5TxqKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm+ly+vTtd7rc6b5U19if2mKYoPYCcV0oMuBZy1q89OWHk3YfbO19PMw6+9wijIeddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9a10eV1bb5T1fqqH1c2UpqhzCZtVTAe6HHjMojY/benRhN03W0s/D7P+Dqco41FXnTFWD9mJ7QowfIRVhAeccApsEIkycEKDZHoQVV3fipfXK+vbgBcvelrVTHGKKpewScV0oMuBxyxq89OWHk3YfbO19PMw6+9wijIeddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9a14eX2y/jzio/XuEdJkxSlKDWLji+lAlwPPWtTmpy09mrD7Zmvp52HW3+EUZTzqqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrrW/nyav0+4of1jUhpsvIUpQ6h8cV0oMuBRy1q89OWHk3YfbO19PMw6+9wijIeddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9a18eb2707t9zvz9aBQQTpenKDSIDS+mA10OPGtRm5+29GjC7putpZ+HWX+HU5TxqKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm/ly+v76Vpvt535z3pjVKG9PEWhQWx4MR3ocuBZi9r8tKVHE3bfbC39PMz6O5yijEdddcZYPWQntivA8BFWER5wwimwQSTKwAkNkulBVHV9q1hefz/o7T5nXjwbBWTTFSnKDGKji+lAlwPPWtTmpy09mrD7Zmvp52HW3+EUZTzqqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrrW8Xy+mZ9aesl9id7FCnq61l/ZjEd6HLg+Yra/LSlRxN232wt/TzM+jucooxHXXXGWD1kJ7YrwPARVhEecMIpsEEkysAJDZLpQVR1fatZXn/f6f0+Z55bbx8h8tekKDKIDS6mA10OPGtRm5+29GjC7putpZ+HWX+HU5TxqKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm81y+u79QuJf8/0wPKZmhTlLmEziulAlwOPWdTmpy09mrD7Zmvp52HW3+EUZTzqqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrrW9Xy+mC919a1ylaZZaSXElEyrZgOdDnwTkVtftrSowm7b7aWfh5m/R1OUcajrjpjrB6yE9sVYPgIqwgPOOEU2CASZeCEBsn0IKq6vtUtr9b3Ad9P3/TI0pm6FKUuYfHFdKDLgccsavPTlh5N2H2ztfTzMOvvcIoyHnXVGWP1kJ3YrgDDR1hFeMAJp8AGkSgDJzRIpgdR1fWtbnl9tb6R+HihR5bO1KUodQmLL6YDXQ48ZlGbn7b0aMLum62ln4dZf4dTlPGoq84Yq4fsxHYFGD7CKsIDTjgFNohEGTihQTI9iKqub5XL66P1C4WXSmNFpnFOCjj5lGI60OXA+xW1+WlLjybsvtla+nmY9Xc4RRmPuuqMsXrITmxXgOEjrCI84IRTYINIlIETGiTTg6jq+la7vF7f6D23Mz/O/toE8NnaFHGH0MhiOtDlwKMWtflpS48m7L7ZWvp5mPV3OEUZj7rqjLF6yE5sV4DhI6wiPOCEU2CDSJSBExok04Oo6vpWu7yuL4y3Nv179q6nFs3UpigyiQsupgNdDjxnUZuftvRowu6braWfh1l/h1OU8airzhirh+zEdgUYPsIqwgNOOAU2iEQZOKFBMj2Iqq5v1cvrx8p4s6ync+PP/qBJq1NEDWLjiulAlwPPWtTmpy09mrD7Zmvp52HW3+EUZTzqqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrrW/3y+n5m/NWdh4uY3ZY+RX1ZK84spgNdDjxYUZuftvRowu6braWfh1l/h1OU8airzhirh+zEdgUYPsIqwgNOOAU2iEQZOKFBMj2Iqq5vDcvr66nxta2bq5DdliFFfV3rzSymA10OPFdRm5+29GjC7putpZ+HWX+HU5TxqKvOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm8ty+vbmfFzW79DXtuypKgvbLWZxXSgy4HHKmrz05YeTdh9s7X08zDr73CKMh511Rlj9ZCd2K4Aw0dYRXjACafABpEoAyc0SKYHUdX1rWl5/Tg3fifx9vxDj47ONKWImsTFFdOBLgees6jNT1t6NGH3zdbSz8Osv8MpynjUVWeM1UN2YrsCDB9hFeEBJ5wCG0SiDJzQIJkeRFXXt7bldX1lfCfw4az+reRtKepLW2lmMR3ocuChitr8tKVHE3bfbC39PMz6O5yijEdddcZYPWQntivA8BFWER5wwimwQSTKwAkNkulBVHV9a11eb433y/pz+qKHx2ZaU8RcwqKK6UCXA49Z1OanLT2asPtma+nnYdbf4RRlPOqqM8bqITuxXQGGj7CK8IATToENIlEGTmiQTA+iqutb8/L6cnandx9m/jPOnzc3pzhvERlRTAe6HHjSojY/benRhN03W0s/D7P+Dqco41FXnTFWD9mJ7QowfIRVhAeccApsEIkycEKDZHoQVV3f2pfXj6sL01uBw/y6tze1p6gvb4WZxXSgy4EHKmrz05YeTdh9s7X08zDr73CKMh511Rlj9ZCd2K4Aw0dYRXjACafABpEoAyc0SKYHUdX1rcfy+nh6Z7qHw4P1HhJ8+h4p8g6ho8V0oMuBRy1q89OWHk3YfbO19PMw6+9wijIeddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9a3L8vrx23aD03/nVxVf3HJJUV9h75nFdKDLgacpavPTlh5N2H2ztfTzMOvvcIoyHnXVGWP1kJ3YrgDDR1hFeMAJp8AGkSgDJzRIpgdR1fWt0/L67/zynx5is3k4Nd6yizF3SpFxCB0qpgNdDjxqUZuftvRowu6braWfh1l/h1OU8airzhirh+zEdgUYPsIqwgNOOAU2iEQZOKFBMj2Iqq5v3ZbXP2dXr3qMzfvVqtbXEt1SNKTnOLWYDnQ58CBFbX7a0qMJu2+2ln4eZv0dTlHGo646Y6weshPbFWD4CKsIDzjhFNggEmXghAbJ9CCqur51XF6N262Xle3FsWINHFMsegQOFNOBLgcetKjNT1t6NGH3zdbSz8Osv8MpynjUVWeM1UN2YrsCDB9hFeEBJ5wCG0SiDJzQIJkeRFXXt67L6+PZpeXlqaeza9P3GgtVcE2x4BF4uJgOdDnwoEVtftrSowm7b7aWfh5m/R1OUcajrjpjrB6yE9sVYPgIqwgPOOEU2CASZeCEBsn0IKq6vnVeXp/OV4+GbyY+nF5b3oucLoNzitMmcUeL6UCXA89Z1OanLT2asPtma+nnYdbf4RRlPOqqM8bqITuxXQGGj7CK8IATToENIlEGTmiQTA+iqutb9+X13/Xpnf71qfXw4thffTaTM91TnHQJO1hMB7oceMyiNj9t6dGE3TdbSz8Ps/4OpyjjUVedMVYP2YntCjB8hFWEB5xwCmwQiTJwQoNkehBVXd9WWF7f784u/uhf3npanT/p85mYWSHFCZewQ8V0oMuBxyxq89OWHk3YfbO19PMw6+9wijIeddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9W2d5fXl6uRGfyuIl8vTO8f7btVJUV9y48xiOtDlwJsXtflpS48m7L7ZWvp5mPV3OEUZj7rqjLF6yE5sV4DhI6wiPOCEU2CDSJSBExok04Oo6vq21vL68bA6u1e/nfh2e3rt9m7is37bp69rtZlvf0rS0OVQmpyO1zobeFfzaN9smUsYI+BwijKgddUZY/WQndiuAMNHWEV4wAmnwAaRKAMnNEimB1HV9W3F5fX17uz8QfsK1frP+Zl68qgcFXMcOQV0Hz9KJtDlUJqcjh9opfpmi39amxl1OEWZXOqqM8bqITuxXQGGj7CK8IATToENIlEGTmiQTA+iquvbusvr35vTi0ftfuv15vTqWZ/Zz8x7/QfIfkTiHr395V4RvCuCQJdDcfbnQN2zgfc2jPbNlqF4kVMdTlEGt646Y6weshPbFWD4CKsIDzjhFNggEmXghAbJ9CCqur6tvry+3Jzo91tPl6e39jcBP6onqa//eOb6/vT4+Pi0uD9k3hOFLoexX94/oELtgvfN1m41Gn7scIoy2dVVZ4zVQ3ZiuwIMH2EV4QEnnAIbRKIMnNAgmR5EVde3Ecvry++TC+1bgu/3q5V27ndVniy3Wv1WiXjwvjq+fnz5c328mn498KP8wtYGuhz4JCLOBp5ANdo3W6qyxU9yOEUZ6LrqjLF6yE5sV4DhI6wiPOCEU2CDSJSBExok04Oo6vo2aHkd3k88f+DeHWMy+Hd7emm4lcRW+dHt0/YMp8PQenXyst7++3uymnzv83byaHKGLgceMuhs4CHko32zJa/ZIjMcTlGGu646Y6weshPbFWD4CKsIDzjhFNggEmXghAbJ9CCqur6NW17/3p6da7+f+HJ9cm36+NZj8Tt8+tJVmHl/fHzzudm6OT6eeGY+bqdf70ok0OXAQ0948hPaGO2brTaeh1kKh1OU8airzhirh+zEdgUYPsIqwgNOOAU2iEQZOKFBMj2Iqq5vQ5fXf7dnq3vd7/Gsny5Pfhten/p3q/PVV1Yz8/Tq5nO3dXN8e326J/B8x7yutelvI34VLPCUhv4C7T2P7IEKkqxf6GDd5Oqq1yiUndiuAOcVYRXhASecAhtEogyc0CCZHkRV17eBK9Mn5L879X7r4/HC8nH5p7s/3OtC+hL6zXw7/rPe7raGvdb6z3H+ruvb493MVwWgy4GHjT4beBp4NGH3m5rCBVsq0OEUZdDrqjPG6iE7sV0Bho+wivCAE06BDSJRBk5okEwPoqrr2wWW19e71dmd7nWmt+Hj8vfqLdP7n/u2/90cP6+Hndb5sNdaPx/fZLBPxftr0ZMPXQ4UPN0ucDZMg8iO9s2WrF6LRTucogx7XXXGWD1kJ7YrwPARVhEecMIpsEEkysAJDZLpQVR1fbvM8mq43+nwcfmL8o099YVoYeb2la31+vz4fPj/+JWteT7ocuBlljkbeCZgtG+2gCK1EOJwijJp1FVnjNVDdmK7AgwfYRXhASecAhtEogyc0CCZHkRV17eLLa//hvud/pl9tWYysb+/T3zudjqpvuTB06v0ytbwKfmJz2zNkEGXA6+x2NnAY82N9s3WXIUaGXc4RZlM6qozxuohO7FdAYaPsIrwgBNOgQ0iUQZOaJBMD6Kq69sll9fh/ltXT+xnvkt5DR+XPz2IT7yXEigcvzt+2X5ea/jc1svUtxELs74OQ5cDL7Hk2cCTsaN9s8WWp51Bh1OUSaauOmOsHrIT2xVg+AirCA844RTYIBJl4IQGyfQgqrq+XXZ5XT9dab9j+H4//PKi7pUxfbVqz1yvjref1xp2W8fT99niAKDLgRPYbJY9G3g2ZrRvtpjitDTkcIoy6dRVZ4zVQ3ZiuwIMH2EV4QEnnAIbRKIMnNAgmR5EVde3iy+vH4/nK+Wm6e/N/9zbiX+Oj68eXx6vjo/lNwaDLgf+TFn8bODxSqN9s1WqTGPHHU5RJqO66oyxeshObFeA4SOsIjzghFNgg0iUgRMaJNODqOr6toXl9d/vk98ztzUoJLh9O1H/7cSC6KKHn+7SbyMq3l6FLgc+uRbOBp5wcrRvtibL0t5Bh1OUSaquOmOsHrIT2xVg+AirCA844RTYIBJl4IQGyfQgqrq+bWN5XT+uzh9Vn97avN2eXhtudqqvXLWZx3+HO2ytz8RJQZcDT93G2cAzToz2zdZEUVo85HCKMmnVVWeM1UN2YrsCDB9hFeEBJ5wCG0SiDJzQIJkeRFXXt80sr8NXDG+UL2/9OV8pd2r6utWb+bb61P57Kt1tQZcDz93M2cBjjkf7ZmtckUb7Dqcok1lddcZYPWQntivA8BFWER5wwimwQSTKwAkNkulBVHV929Dy+vGwOn/SZTK8EXmju02qzq/mrJu02dr8+9pt3aOf3oIuB568obOBB81H+2Yrr0ezPYdTlMmtrjpjrB6yE9sVYPgIqwgPOOEU2CASZeCEBsn0IKq6vm1reX25PFO+RvXxcHbxoi9DQzNXX5st2m1d3YBw0OXAa7V1NvCsO6N9s7VTjJYfOpyiTHp11Rlj9ZCd2K4Aw0dYRXjACafABpEoAyc0SKYHUdX1bWvL67+rkzvlDR2ez7UvjOnLV2Hm2TmJ/j0Vva8KXQ6kPd22djZMU+4d7ZutvZK0ecDhFGUSq6vOGKuH7MR2BRg+wirCA044BTaIRBk4oUEyPYiqrm/bW15fr49vlT9/uH1hTF+KxWbe/XlcrT7B789Wf04vNv+uN5uPyz+bvye/h3tfoSlBlwOfZHtnA8/7Ndo3W1CZlg9yOEWZJOqqM8bqITuxXQGGj7CK8IATToENIlEGTmiQTA+iquvbFpfXt98nt8pXt/5dnz7ovtWoL6F55vnx1fPd0fAm6P1/D89DZ/N+9LZ5OhreTlydvG4uhg0X9A+6HHilFs8GnvhztG+2gCK1EOJwijJp1FVnjNVDdmK7AgwfYRXhASecAv+PvStRdFSFob1j7b7vq/7/Xw6IWG0Vwiq06XtzqRKSkwNIiogBQuIeWIIGUoNCnHX9NMzh9b7SDrfuy1T3PqQ+i2YlJyNSfkJiqn+7PH8kZFpruMuXi0GW/61HDwy2pOxisCWlKAwB0BVbG6pb7dqwBAXNEZtrEMBrZvkw5cNG0yvpUYCQOGZL0EBqUIizrp+GGWyRmGOtHW7RomSnqng+NM7Kl7P8Tia08tuQBFvkYHgenS6D7DDGYEtakxhsSSkKQwB0xdaG6la7NixBQXPE5hoE8JpZPkz5sNH0SnoUICSO2RI0kBoU4qzrp6EGW2TREomZNNduPTfDRUQ7QUzo84bLaX4bEH+PKQm2jv8ef9lquSF3Erc0+AJ9QN1BrCnc1iDEjcGWkJ5wMi00UYEzbrULDGtnmSM21wAG78OUDxtgh5lggJC4B5aggdSgEGddPw15eH1u0pXmFNVzm87IIqg4PjzYygYnElzR24jPwXKSn9PJmjgwSoFegLqDWFfIrUGAHIMtATkhZVloogJ33GoXGNbOMkdsrgEM3ocpHzbADjPBACFxDyxBA6lBIc66fhr28EpiprluzHSYjCJ5bSIPtvLZ6JlP/uhM1miwybPBgG4iPx0BV8iDuoO4pYTdGjqxY7DVSU1YGRaaqMAht9oFhrWzzBGbawCD92HKhw2ww0wwQEjcA0vQQGpQiLOunwY/vB6n491Dz7/bOp0dIng2sQq2HqPBv+GEBlurAdlia/xH/Z4up7BKAnUHMZMwQ2IdPeQy2IPSskcnLFD+TpcDle8m+jt265xb7S5YM0dsrgHslw9TPmyAHWaCAULiHliCBlKDQpx1/dTjyKQL8rpKZ0fNmOm8GM72mrcidfGalLvfh5+ePkegtxiBuoMYXAStoc0BDLbaWAnwnIUmKvDKrXaBYe0sc8TmGsDgfZjyYQPsMBMMEBL3wBI0kBoU4qzrp3EMr6f5cH54anmZnVaj8fqkV1jLolGhB90G4v1zB72UGtQd3lU3j+NoDU3M5AiDrQ9KwjxhoYkKHHOrXWBYO8scsbkGMHgfpnzYADvMBAOExD2wBA2kBoU46/ppLMNrdlwOp9vL57QPxPXbbj4cLffXCCKu86zNoUsKuJMK6g5t2l/nYmkNL8TFNwy23ggJ9dBCExW45la7wLB2ljlicw1g8D5M+bABdpgJBgiJe2AJGkgNCnHW9dOYhtfLZjqcbTQnqe7H1XSYTle74+WuF7Lpk6xQcr9uFd5XL0xszS5OgrpDd3GaE1NrqHmCwVaNjJC/WmiiAvfcahcY1s4yR2yuAQzehykfNsAOM8EAIXEPLEEDqUEhzrp+Gtnwml2283Q03xz1ttF6Xg+b5Ww8TEaj2Wy53G4Px/Pl9ggo+Frt2+tyKX8kEdQd2rXzs5G1hiZsXCDP+Qg2tdBEBb651S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NMbh9XHaLSbJZLE7A26utVPzuF1Ox/12u1rOZ5PRMBmOZov1/tz/UvoZ3e2h5ZNN9i1nG6dA3aFR4uMgxtZAnGCwMdj6qM/QTlhoogKX3GoXGNbOMkdsrgEM3ocpHzbADjPBACFxDyxBA6lBIc66fhrp8Eocvh0389FwutqTTRKMP9n9TOa8pqNkQpZ2GWszUDDqih8fqQwXqDuIoUXaGjDYEldrMLkWmqjAF7faBYa1s8wRm2sAg/dhyocNsMNMMEBI3ANL0EBqUIizrp9GOrxyh7Prfj0ZTnUXcnE1r/R2WE2G8952i8iGLyhv304jyd1OUHd4U/p2GGlrwGDrrR5DPbTQRAWuudUuMKydZY7YXAMYvA9TPmyAHWaCAULiHliCBlKDQpx1/TTS4bXhcHYhTxuO1x034BqioINit4h+dp+/ChbCr+lup4IPqDsIypOsSFsDBlviag0m10ITFfjiVrvAsHaWOWJzDWDwPkz5sAF2mAkGCIl7YAkaSA0Kcdb100iH10+Hb7vpcKn7ap8Wdet0evg87frMUbQOfiIGBOoOYgcibQ0YbImrNZhcC01U4Itb7QLD2lnmiM01gMH7MOXDBthhJhggJO6BJWggNSjEWddPIx1eWx1+HmbpWu8xxTZ950W69b0z10ZUH/dUuIAf1B3aHH2dE1l/SQX3DYOt4KqkHZCFJtquuDjrVrvAsHaWOWJzDWDwPkz5sAF2mAkGCIl7YAkaSA0Kcdb100iH1y6HH9vR7NSVqXz+vhquuxasKysDFVgIwe9bdzzlikHdgQu3p5G2Bgy22qszuLMWmqjAJ7faBYa1s8wRm2sAg/dhyocNsMNMMEBI3ANL0EBqUIizrp9GOrwKHD7NxuLbbYKyH1nPTbqRrEv/KGNyYiyemBPe2QR1BzG4SFsDBlviag0m10ITFfjiVrvAsHaWOWJzDWDwPkz5sAF2mAkGCIl7YAkaSA0Kcdb100iHV6HD19nIYri1SvdCa1Yzh2Jtd9Fre0DdQaw/0taAwZa4WoPJtdBEBb641S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NNLhVeLwdTa2t1b+PpuK55skYBSy72OJ8HbeLQDqDt3FaU6krQGDLXG1BpNroYkKfHGrXWBYO8scsbkGMHgfpnzYADvMBAOExD2wBA2kBoU46/pppMOr1OHzeC5cTS5VUBc4ppv6obvvZ0EsxaxOuhd1gbqDGHukrQGDLXG1BpNroYkKfHGrXWBYO8scsbkGMHgfpnzYADvMBAOExD2wBA2kBoU46/pppMMrwOF9as+352LiZXJrt5Y5dume+wJ1B7F+e4yJ7VjOxWDLMqGu1FloogJobrULDGtnmSM21wAG78OUDxtgh5lggJC4B5aggdSgEGddP410eIU4/FiMZW+4gahhMkcvK7dW8rVm830XaFB36CrMzkfaGjDYEldrMLkWmqjAF7faBYa1s8wRm2sAg/dhyocNsMNMMEBI3ANL0EBqUIizrp9GOrzCHD5ZvP33mC7cP5Y4le+Cf0u7YIC6g5i4SFsDBlviag0m10ITFfjiVrvAsHaWOWJzDWDwPkz5sAF2mAkGCIl7YAkaSA0Kcdb100iHV6DDz/nE3sqttWRfBiAmkVgK2ER11bV+DNQdRNZxgbyYnc9cC5S/K3Wg8t1Ef8dunXOr3QVr5ojNNYD98mHKhw2ww0wwQEjcA0vQQGpQiLOun353sJXnh7R7Rbkqa8fU3iOOrbafaevp5slHV0QG6g5NXe9HkbYGnNl6r8hAjy00UYFnbrULDGtnmSM21wAG78OUDxtgh5lggJC4B5aggdSgEGddP410eIU7fBt1zQTBdXDJ2+jIvzpJr1OI2nWHQ6DuIDYQaWvAYEtcrcHkWmiiAl/cahcY1s4yR2yuAQzehykfNsAOM8EAIXEPLEEDqUEhzrp+GunwquDwczYD3JyDKXxM9jBBPanDClLu0bFqC9QdxAYibQ0YbImrNZhcC01U4Itb7QLD2lnmiM01gMH7MOXDBthhJhggJO6BJWggNSjEWddPIx1elRzejKzt2/CcdkwrKQHqEt7sunIa55ftYqDu0FD0cRBpa8Bg66MmwzxhoYkKHHOrXWBYO8scsbkGMHgfpnzYADvMBAOExD2wBA2kBoU46/pppMOrmsMne4utsulazbaK9By2JuzePrUF6g5iOJG2Bgy2xNUaTK6FJirwxa12gWHtLHPE5hrA4H2Y8mED7DATDBAS98ASNJAaFOKs66eRDq+KDl9Ta4utMod3EsfARycX+zb/Qd2hreDrXKStAYOtVxUG/c1CExX451a7wLB2ljlicw1g8D5M+bABdpgJBgiJe2AJGkgNCnHW9dNIh1dVh+/2Xk39GNl7vvHNDclrqCvp26j6WvsC6g41+ZavkbYGDLZa6jLEUxaaqMAtt9oFhrWzzBGbawCD92HKhw2ww0wwQEjcA0vQQGpQiLOun0Y6vCo7/Bi1L3RSVpTnt1S+9aiGWqK4+1U8b/rmbTvNg7rDm6K3w0hbAwZbb/UY6qGFJipwza12gWHtLHPE5hrA4H2Y8mED7DATDBAS98ASNJAaFOKs66eRDq/qDj/G1ly9pMDbfYooTwtogdY3JIK6g9iCNYrEZmznYrBlm1FH+iw0UQEyt9oFhrWzzBGbawCD92HKhw2ww0wwQEjcA0vQQGpQiLOun0Y6vGo4/BzvNUq1FtmD9sNqLSo6uYM/6ThtuZUJ6g4i+7iDvJidz1wLlL8rdaDy3UR/x26dc6vdBWvmiM01gP3yYcqHDbDDTDBASNwDS9BAalCIs66f/k6wlT/sbUk6h4dFClWzhK/iP08+9YK6w2ex+plIWwPObNUrMeDvFpqowDu32gWGtbPMEZtrAIP3YcqHDbDDTDBASNwDS9BAalCIs66fRjq8ajl8t7YDxHPkYtnW9Ap3a/IJANQdxBYibQ0YbImrNZhcC01U4Itb7QLD2lnmiM01gMH7MOXDBthhJhggJO6BJWggNSjEWddPIx1e9Ry+pQrhjNDEZZQJ87Uyhwo6D/MPE6Du8FGqcSLS1oDBVqMWwz2w0EQFzrnVLjCsnWWO2FwDGLwPUz5sgB1mggFC4h5YggZSg0Kcdf000uFV0+FL+si35Ek++q/105nRkCZSa9CbdRqlZAcPyGuoKyWfi/RB3aEq3/ol0taAwVZrbYZ30kITFTjlVrvAsHaWOWJzDWDwPkz5sAF2mAkGCIl7YAkaSA0Kcdb100iHV12H95Nsusxz+u/9s6RUzEExFJHKhiDJdyOC4+VyJsj9yNp+2Ad1hw89jRORtgYMthq1GO6BhSYqcM6tdoFh7SxzxOYawOB9mPJhA+wwEwwQEvfAEjSQGhTirOunkQ6v2g4vl13BVlsAJjAzUpqHEijiWdPpR/jEs9rSZ/r+em1Qd2hT9ToXaWvAYOtVhUF/s9BEBf651S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NNLhVcHh0zSd0A1N95N0TvbHmo7Kma3TdDQrlnAxgV0ynM0e2/1LMt8c9uPW/SKI1C5JJrNHnpdaNofdeHzKt6MJ4PWGVHiRX+aj8YoGTDfyZfEgCsdEIUfFZERurt6rDtQdRBpx6wcxO5+5Fih/V+pA5buJ/o7dOudWuwvWzBGbawD75cOUDxtgh5lggJC4B5aggdSgEGddP30fsfU1BVpyP1ifD2TOaPe3PU3/PfNHQu7WkVms/d/2vP67kSCMCVxH0+OxuMfIJfNJMj9tBi3REyl+HU3SY1ZpoaKrwWJxWv69Tzh98jJJpkcSmG3PpzHdM/7f8nxa36+j4eaYVaiYzGfZ15n7+9QaqDu8yrd9i7Q1MNiD0iOPTlig/L0aHKh8N9HfsVvn3Gp3wZo5YnMNYL98mPJhA+wwEwwQEvfAEjSQGhTirOunHkcmfZAmJf+VW2L9o54m6zyfkIf+SLT0j852LcgzfVyguI1I/7wk6SsIJ+TM+4dKTZf0nTlcy4SKJkXo1LX2/qVkUoVJz8Etvw/IBBn5TIck5fryl8yr3Nu393f2gLrDm463w0hbA4ONwdZbbYZ3aKGJCpxyq11gWDvLHLG5BjB4H6Z82AA7zAQDhMQ9sAQNpAaFOOv6aaTDK9jhGwln6OdepAuy9ft0vCSR0m2wXK/XJKThAjQAK6a8XpJFnNW2bJ0FW9cRKVxqKUTHdNFVKmeUxW9PYj0dkJ3g0+GKzp5NSXOu9LXGeESo/nl/Zw+oO9QVfH6XY/8sE8AZDLYCqAQIBAtNVGDGrXaBYe0sc8TmGsDgfZjyYQPsMBMMEBL3wBI0kBoU4qzrp5EOr2CHrwP2HsNbkS7JxuvT5fg4XV4Hqw357HIuUAVbL8kJDZ6WJD57/7BgK58dKy2F6HhNBCHBVrESfjQ9326DY55n+9nf8F7MZVX68kLhu92347f1YaDu8Kbi7TDS1oDB1ls9hnpooYkKXHOrXWBYO8scsbkGMHgfpnzYADvMBAOExD2wBA2kBoU46/pppMMr2OEnDWfIJ6NzSDlZl05ntdLpkp/Pqy98ZuslKQu2LuOqsHqw9aDR352jS1f5mNyJrPSBgq0juQla+4C6Q02+5WukrQGDrZa6DPGUhSYqcMutdoFh7SxzxOYawOB9mPJhA+wwEwwQEvfAEjSQGhTirOunkQ6vcIfnQ3IfkbzbZk72Mz0MyOOHJKjapcu8OH8j9++4wHL8LBZzvSSFwRYVn1y4FvVgKxvs8mxCgq0HwfAcbsnMFrHP9YGCrby5sSmoO4iJi7Q1YLAlrtZgci00UYEvbrULDGtnmSM21wAG78OUDxtgh5lggJC4B5aggdSgEGddP410eIU7nM0G/wbkVuBzPPj3R72lM1jDaZ4tyPG/PZnzKgXu47/BjWZWksJgi4pvF1yLerCV7wbJ3/bvmN/+DZLBjMRZKbHP9cGCrc26zgOoO9QLfH6PtDVgsPVZlUGesdBEBX651S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NNLhVcXh54097ve4ZbzYlb7aMCvP51yA5+Y1yepc25ds+HxpaRMQnss4nsftSQQnZNaNfCpUxZH4zyOtPCKCoO4gVhhpa8BgS1ytweRaaKICX9xqFxjWzjJHbK4BDN6HKR82wA4zwQAhcQ8sQQOpQSHOun4a6fCq7zAraenVhiu6f4Slj8prqLnJxu4PoO7AS7ankbYGDLbaqzO4sxaaqMAnt9oFhrWzzBGbawCD92HKhw2ww0wwQEjcA0vQQGpQiLOun0Y6vOo7zEpmabEjBJ1RMvlcydONlj5qr6EujV7q9kHdQYw20taAwZa4WoPJtdBEBb641S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NNLhVd/hsuSh2NFBvgGpxNCo2FiC3aaUiAqyafnLTCDQmTVm9x6LfFB36NRUZETaGjDYEldrMLkWmqjAF7faBYa1s8wRm2sAg/dhyocNsMNMMEBI3ANL0EBqUIizrp9GOrzqO8xLTuhWEM29E3iWQrqh/B1rEY9C2ZfolWxPQV8ppP7ZkwX9/APqDly4PY20NWCw1V6dwZ210EQFPrnVLjCsnWWO2FwDGLwPUz5sgB1mggFC4h5YggZSg0Kcdf000uFV32Fekuz/bmFN+ZW8oec65Dq1U7Kn6Zou/3ps6yveAeroEn3+AXUHLtyeRtoaMNhqr87gzlpoogKf3GoXGNbOMkdsrgEM3ocpHzbADjPBACFxDyxBA6lBIc66fhrp8KrvcFVyQXaPT0xuAJ5onDO6Z2lxR7LSq/NlNM7mZLutbXPjLIim2hJ9UHcQ64y0NWCwJa7WYHItNFGBL261CwxrZ5kjNtcABu/DlA8bYIeZYICQuAeWoIHUoBBnXT+NdHjVd5iWPB3JBNI9zQ6JyQ3AWzq75qv9gr7d2vAzT5bj+3mUsN3uVZTd6AQd+4C6AxduTyNtDRhstVdncGctNFGBT261CwxrZ5kjNtcABu/DlA8bYIeZYICQuAeWoIHUoBBnXT+NdHjVd7goeUznx2y1mSdGK+RPSTJejYepeoj0Dv+QjJJ5mtQWYL1LdB5PyYwY+4C6AxduTyNtDRhstVdncGctNFGBT261CwxrZ5kjNtcABu/DlA8bYIeZYICQuAeWoIHUoBBnXT+NdHjVd5iVvI+SZJamycZI0T5NxkkyNLkXyew/kuFwlIwVF2wVZQ8L7gKoO3Dh9jTS1oDBVnt1BnfWQhMV+ORWu8CwdpY5YnMNYPA+TPmwAXaYCQYIiXtgCRpIDQpx1vXTSIdXfYfLktkiSdJEay6pZntFVCTm6+PJ+4OonmIbiZp20Ncs5UvkQd1BrDPS1oDBlrhag8m10EQFvrjVLjCsnWWO2FwDGLwPUz5sgB1mggFC4h5YggZSg0Kcdf000uFV3+Gq5IHEN4nW5laVijyfkSjJVAdVNyNYNG9pVkvkQd2hhr3la6StAYOtlroM8ZSFJipwy612gWHtLHPE5hrA4H2Y8mED7DATDBAS98ASNJAaFOKs66eRDq/6Dr9K3si0FNm5weiTkduINijcDbVjNrr7RPEBdQextzZcEVtwkovBlhNa7Su10EQFoNxqFxjWzjJHbK4BDN6HKR82wA4zwQAhcQ8sQQOpQSHOun4a6fCq73CtZDYjtwDvF627d1zNI01OZhoKTadE59WIDMTkwlJQd+C429NIWwMGW+3VGdxZC01U4JNb7QLD2lnmiM01gMH7MOXDBthhJhggJO6BJWggNSjEWddPIx1e9R1ulNzSdVtJqrqVaE1HtqJ3I0005Hm2NULBd5EHdYca9JavkbYGDLZa6jLEUxaaqMAtt9oFhrWzzBGbawCD92HKhw2ww0wwQEjcA0vQQGpQiLOun0Y6vOo7XC/5GCfz/fmwSMa6DxQSDTMzDWTb+HGy2O/1UfBd5EHdoe7+5/dIWwMGW59VGeQZC01U4Jdb7QLD2lnmiM01gMH7MOXDBthhJhggJO6BJWggNSjEWddPIx1e9R2ulczG6Tmjn0uqtesCmZMy1mBDx3JfOAXqDjX3W75G2how2GqpyxBPWWiiArfcahcY1s4yR2yuAQzehykfNsAOM8EAIXEPLEEDqUEhzrp+Gunwqu9wreQ2YbEWibY0V7mbayDv6DFGcZkUToG6Q839lq+RtgYMtlrqMsRTFpqowC232gWGtbPMEZtrAIP3YcqHDbDDTDBASNwDS9BAalCIs66fRjq86jtcK5nOi3kt+meR1s7Dv5pryHMLOsbFW4dA3UHsW6StAYMtcbW5ldNIAADnHElEQVQGk2uhiQp8catdYFg7yxyxuQYweB+mfNgAO8wEA4TEPbAEDaQGhTjr+mmkw6u+w6+S9+RQBVuHROeZRHMN5BWNxijyfLeiXoG6w8v9tm+RtgYMttoqM8BzFpqowCu32gWGtbPMEZtrAIP3YcqHDbDDTDBASNwDS9BAalCIs66fRjq86jvMS562q+RUBVunZLVV/5hr2L6jOOm8sudRzMuBugN3vz2NtDVgsNVencGdtdBEBT651S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NNLhVd/houRzu71mt8ac0q0KvOBfzDVk7yiu243GHNvsRNwCdQcxcZG2Bgy2xNUaTK6FJirwxa12gWHtLHPE5hrA4H2Y8mED7DATDBAS98ASNJAaFOKs66eRDq/6DtOSp82DRFTP2mqpefqEx1iVpLmGFhTPvXqdHOfEK1B3EBOnblmsz1MuBlueiDY1Y6GJCiC41S4wrJ1ljthcAxi8D1M+bIAdZoIBQuIeWIIGUoNCnHX9NNLhVd9hUnJf3j7cVM8BnpNNFUGpfDHXkGWfOu5r/m5pqJvFVlug7iDWGGlrwGBLXK3B5FpoogJf3GoXGNbOMkdsrgEM3ocpHzbADjPBACFxDyxBA6lBIc66fhrp8KrvMIm1+IYPD75L1jkd06ku9Y+5hixr0fFUjrboVlug7iAmLtLWgMGWuFqDybXQRAW+uNUuMKydZY7YXAMYvA9TPmyAHWaCAULiHliCBlKDQpx1/TTS4VXf4fy6r4KqW7GD/H6ejHVWbFE15hpadTzXig7SrbZA3UGsN9LWgMGWuFqDybXQRAW+uNUuMKydZY7YXAMYvA9TPmyAHWaCAULiHliCBlKDQpx1/TTS4VXf4XxdxVpkVmlTvJWwWMJVO63w1VxDK4q7ar2M7hhslY1ClTqDtgS6Aqnpd6BSDYBLabfOudXughdzxOYawH75MOXDBthhJhggJO6BJWggNSjEWddPPY5M+iBtljxemqHU7aw7q8X1mGsgs1vvKPaKzyRuNhhslc3EY5MGXYHUWq8DlWoAXEq7dc6tdhe8mCM21wD2y4cpHzbADjPBACFxDyxBA6lBIc66fupxZNIHabNkfWKLh0sa6XanUUihyHOj5vR9hMFWyZjHJg26AqlVpAOVagBcSrt1zq12F7yYIzbXAPbLhykfNsAOM8EAIXEPLEEDqUEhzrp+6nFk0gdpseTjtWJLIfT5FJ29XvXzkbnQe7SxqWeruLvp9ALqDmIqI20NDPag9M2jExYof68QByrfTfR37NY5t9pdsGaO2FwD2C8fpnzYADvMBAOExD2wBA2kBoU46/qpx5FJH6TFkvt7M6bRPRIFW5OlrtZauSvdp1Ths1+CuoNYY6StAYMtcbUGk2uhiQp8catdYFg7yxyxuQYweB+mfNgAO8wEA4TEPbAEDaQGhTjr+mmkw6u2w+qTTuv9bjQubhruxun8SuKhzWi8L4Kt4ySd1ZeAMYFtMpzN7tlllo7m92x1JCV0bjoq1sxzCOoOYuIUbYqV+cvFYMsf10aWLDRRgX232gWGtbPMEZtrAIP3YcqHDbDDTDBASNwDS9BAalCIs66fRjq8ajusHmyNk9lhPSD7oG7/Nsfpv0e2+dsex//IbcTd3+a0/ntFW6XAZTQ5HB7Pf4vTcXXNUmpRNA9Wm81qfFWtmRmoO4iJU7Up1uYtF4Mtb1SbGbLQRAUA3GoXGNbOMkdsrgEM3ocpHzbADjPBACFxDyxBA6lBIc66fhrp8KrtsEawNSIx0GSRPf+Rss9k9fy3Jbs1/M3JCfIlm894iMQFsuI24nXAnnL0FmwdQN1BTFykrQGDLXG1BpNroYkKfHGrXWBYO8scsbkGMHgfpnzYADvMBAOExD2wBA2kBoU46/pppMOrtsMawRZdgbWYZtcBncOaT68DeitxMs8ug8V6tZqkPNjiAizYeqbJ8kReuOgt2MoSxSX1LRxG2how2GqpyxBPga7Y2sDdateGJShojthcgwBeM8uHKR82ml5JjwKExDFbggZSg0Kcdf000uFV22GNYGtFoikSbF2KqarFmKXTeXYeLDfkQ6e3ig8XYMFW9thN/4Y3f8FWnhy1WeEFI20NGGzxCgw8BV2xtX1wq10blqCgOWJzDQJ4zSwfpnzYaHolPQoQEsdsCRpIDQpx1vXTSIdXbYf1g63H4EBiqvH8MaBL3ofzjJ1ggRb9ywWy6aI8+Rgus/GKHIwEG0WUsh+Jcs0kc21WeEFlm7xgvykGW/3yD7YOumKDtb0LutX+bs3GsTlicw1gP3yY8mED7DATDBAS98ASNJAaFOKs66eRDq/aDusHW9ksvWf7wTmbjR7ZdkDCp/mQ3Fi8kqXz5YcLLEf3R3Y7PrPHcJMth/dsR6VVP8o1kwyf2rSUBZVtmhq0Ux6DLTs8OtcCumJro3CrXRuWoKA5YnMNAnjNLB+mfNhoeiU9ChASx2wJGkgNCnHW9dNIh1dthw2Crft48PdHyt/Twb8xuY2YPeaDf3//XlvJc4Hb+G9wvfwbJIPpk0r/Tam06ke5ZpLlQZuWsqCyTVODdspjsGWHR+daQFdsbRRutWvDEhQ0R2yuQQCvmeXDlA8bTa+kRwFC4pgtQQOpQSHOun4a6fCq7bB6sFULkm4XsuKdfK78dYqPy42dKYW4QHF4uzxYyqVLIWCiXDPJaaZNS1lQ2aapQTvlMdiyw6NzLaArtjYKt9q1YQkKmiM21yCA18zyYcqHjaZX0qMAIXHMlqCB1KAQZ10/jXR41XbYKNgChkl2xJRrJsnThzYvrKCyTUN7lopjsGWJSNdqQFdsbRButWvDEhQ0R2yuQQCvmeXDlA8bTa+kRwFC4pgtQQOpQSHOun4a6fCq7bCDYOs+ZZ+7nSCLa1GumSRf7rV5YQWVbRras1Qcgy1LRLpWA7pia4Nwq10blqCgOWJzDQJ4zSwfpnzYaHolPQoQEsdsCRpIDQpx1vXTSIdXbYfnW+ufzYJ9NnY1L1R9TPKz6X3ESFsDBluqbaUnedAVWxubW+3asAQFzRGbaxDAa2b5MOXDRtMr6VGAkDhmS9BAalCIs66fRjq8ajscj7/KSEl3MH0eUdmmdj1YLchgD0qdHp0AXYHUXHWgUg2AS2m3zrnV7oIXc8TmGsB++TDlwwbYYSYYICTugSVoIDUoxFnXTz2OTPogLZaMx19lpKQ7mD6PqGzTYs0YqGKwMdgyoNBPUdAVWxuKW+3asAQFzRGbaxDAa2b5MOXDRtMr6VGAkDhmS9BAalCIs66fRjq8ajscj7/KSEl3MH0eUdmmdj1YLchgY7BllVQXykBXbG3DbrVrwxIUNEdsrkEAr5nlw5QPG02vpEcBQuKYLUEDqUEhzrp+Gunwqu1wPP4qIyXdITO8j6hsU7serBZksDHYskqqC2WgK7a2YbfatWEJCpojNtcggNfM8mHKh42mV9KjACFxzJaggdSgEGddP410eNV2OB5/lZHS7rAw29dU2aZ2PVgtyGBjsGWVVBfKQFdsbcNutWvDEhQ0R2yuQQCvmeXDlA8bTa+kRwFC4pgtQQOpQSHOun4a6fCq7XA8/iojpd3hZPZ+RGWb2vVgtSCDjcGWVVJdKANdsbUNu9WuDUtQ0ByxuQYBvGaWD1M+bDS9kh4FCIljtgQNpAaFOOv6aaTDq7bD8firjJR2h2yYaVNDCirbNDFmryyDjcGWPUYdaQJdsbVtu9WuDUtQ0ByxuQYBvGaWD1M+bDS9kh4FCIljtgQNpAaFOOv6aaTDq7bD8firjLToDoujNjWkoLJNE2P2yjLYGGzZY9SRJtAVW9u2W+3asAQFzRGbaxDAa2b5MOXDRtMr6VGAkDhmS9BAalCIs66fRjq8ajscj7/KSIvucFTeC7VOpbLNeuH+vjPYGGz1VwNAy6ArNlDXp5hb7Z/2zM+YIzbXAPbChykfNsAOM8EAIXEPLEEDqUEhzrp+Gunwqu1wPP4qIy26g9l9RGWb2vVgtSCDjcGWVVJdKANdsbUNu9WuDUtQ0ByxuQYBvGaWD1M+bDS9kh4FCIljtgQNpAaFOOv6aaTDq7bD8firjJR1h9lJmxu8jahKHegKpKbUgUo1AC6l3TrnVrsLXswRm2sA++XDlA8bYIeZYICQuAeWoIHUoBBnXT9VHtL1TQVRMh5/lZGy7rBfGfCsbNPAlsWiDDbObFmk1I0q0BVb27Rb7dqwBAXNEZtrEMBrZvkw5cNG0yvpUYCQOGZL0EBqUIizrp9GOrxqOxyPv8pIWXd4pNrc4MyWKnWgK5CaUgcq1QC4lHbrnFvtLngxR2yuAeyXD1M+bIAdZoIBQuIeWIIGUoNCnHX9VHlI1zcVRMl4/FVGWnaHyVWfaGWb+qZslmSwcWbLJqdOdIGu2NqW3WrXhiUoaI7YXIMAXjPLhykfNppeSY8ChMQxW4IGUoNCnHX9NNLhVdvhePxVRlp2h+1Gmxzc+kGROtAVSE2nA5VqAFxKu3XOrXYXvJgjNtcA9suHKR82wA4zwQAhcQ8sQQOpQSHOun6qPKTrmwqiZDz+KiMtu8NtrE+0sk19UzZLMtg4s2WTUye6QFdsbctutWvDEhQ0R2yuQQCvmeXDlA8bTa+kRwFC4pgtQQOpQSHOun4a6fCq7XA8/ioj5d1hdP8BdhouYrDVoCPcA95E3SB0q90FZnPE5hrAfvkw5cMG2GEmGCAk7oElaCA1KMRZ10+Vh3R9U0GUjMdfZaS8O6x32kwr29S2ZLUgg40zW1ZJdaGMN1EXuvPcrXYXmM0Rm2sA++XDlA8bYIeZYICQuAeWoIHUoBBnXT+NdHjVdjgef5WR8u5wmf4AOw0XMdhq0BHuAW+ibhC61e4Cszlicw1gv3yY8mED7DATDBAS98ASNJAaFOKs66fKQ7q+qSBKxuOvMtKqOwyfulQr29Q1ZLccg40zW3ZZdaCtaqIOdOPMlhNSX0rdVh6z48PGyyPQtwAhcdyWoIHUoBBnXT+NdHjVdjgef5WRVt1B/2XUyja168FqQQYbgy2rpLpQVjVRF8rxNqITViulbiuPmfFho3II9iVASBy4JWggNSjEWddPIx1etR2Ox19lpFV30H8ZtbJN7XqwWpDBxmDLKqkulFVN1IVyDLacsFopdVt5zIwPG5VDsC8BQuLALUEDqUEhzrp+Gunwqu1wPP4qI626w3OoS4+yTV1Ddssx2Bhs2WXVgbaqiTrQjbcRnZD6Uuq28pgdHzZeHoG+BQiJ47YEDaQGhTjr+mmkw6u2w/H4q4z01R2mF01+lG1q2rFcjMHGYMsyrfbVvZqofd0YbLngtKbTbeUxQz5s1FyCfA0QEodtCRpIDQpx1vXTSIdXbYfj8VcZ6as7aG8ir2xTux6sFmSwMdiySqoLZa8mGp/2MBG7ZbThsw9TPmw0nJIfBAiJg7YEDaQGhTjr+mmkw6u2w/H4q4z01R2uE01+lG1q2rFcjMHGYMsyrfbVvZqofd04s+WC05pOt5XHDPmwUXMJ8jVASBy2JWggNSjEWddPIx1etR2Ox19lpLXukD70CFK2qWfGdikGG4Mt27xa11drotZ1Y7DlgNK6SreVxyz5sFH3CfA9QEgctSVoIDUoxFnXTyMdXrUdjsdfZaS17rA86BGkbFPPjO1SDDYGW7Z5ta6v1kSt68ZgywGldZVuK49Z8mGj7hPge4CQOGpL0EBqUIizrp9GOrxqOxyPv8pIa93hNNcjSNmmnhnbpRhsDLZs82pdX62JWteNwZYDSusq3VYes+TDRt0nwPcAIXHUlqCB1KAQZ10/jXR41XY4Hn+Vkda6Q6a5+YOyTe16sFqQwcZgyyqpLpTVmqgD9W61OwBsYWcwjz77MOXDhmJFBgiJe2AJGkgNCnHW9dNIh1dth+PxVxlpvTtMz1oMKdvUsmK9EIONwZZ1Ym0rrDdR27pxZss+ow2NbiuPmfJho+GU/CBASBy0JWggNSjEWddPIx1etR2Ox19lpPXusFtrMaRsU8uK9UIMNgZb1om1rbDeRG3rxmDLPqMNjW4rj5nyYaPhlPwgQEgctCVoIDUoxFnXTyMdXrUdjsdfZaT17nAbazGkbFPLivVCDDYGW9aJta2w3kRt68Zgyz6jDY1uK4+Z8mGj4ZT8IEBIHLQlaCA1KMRZ108jHV61HY7HX2Wkje6gt/mDsk3terBakMHGYMsqqS6UNZqodQNutVuHSxSaIzbXAPbLhykfNsAOM8EAIXEPLEEDqUEhzrp+Gunwqu1wPP4qI210B73NH5RtateD1YIMNgZbVkl1oazRRK0bcKvdOlyi0ByxuQawXz5M+bABdpgJBgiJe2AJGkgNCnHW9dNIh1dth+PxVxlpozsclzoUKdvUMWK/DIONwZZ9Zi1rbDRRy7pthC7WIUkUmvNhrkEC8ZXtw5QPGy+PQN8ChMRxW4IGUoNCnHX9NNLhVdvhePxVRtroDo9UhyJlmzpG7JdhsDHYss+sZY2NJmpZNwZb1gltKnRbecyWDxtNr6RHAULimC1BA6lBIc66fhrp8KrtcDz+KiNtdofxTYMjZZsaNhwUYbAx2HJArV2VzSZqVzcGW7b5fNPntvKYMR823tySHQYIiUO2BA2kBoU46/pppMOrtsPx+KuMtNkd1jsNjpRtathwUITBxmDLAbV2VTabqF3dGGzZ5vNNn9vKY8Z82HhzS3YYICQO2RI0kBoU4qzrp5EOr9oOx+OvMtJmdzjPNDhStqlhw0ERBhuDLQfU2lXZbKJ2dWOwZZvPN31uK48Z82HjzS3ZYYCQOGRL0EBqUIizrp9GOrxqOxyPv8pIm90hG2bqJCnbVDfhogSDjcGWC26t6mw2UauqiTK32m2jpfrMEZtrAPvlw5QPG2CHmWCAkLgHlqCB1KAQZ10/jXR41XY4Hn+Vkb51h5nGG3uUbWrXg9WCDDYGW1ZJdaHsrYlaNuFWu2WwhTpzxOYawH75MOXDBthhJhggJO6BJWggNSjEWddPIx1etR2Ox19lpG/dQeeNPco2tevBakEGG4Mtq6S6UPbWRC2bcKvdMthCnTlicw1gv3yY8mED7DATDBAS98ASNJAaFOKs66eRDq/aDsfjrzLSt+5wm6iTpGxT3YSLEgw2BlsuuLWq862JWtVt46acZUBSdeZ8mGuQguQCPkz5sMH9AaYBQuLILUEDqUEhzrp+Gunwqu1wPP4qI33vDsOnMkvKNpUtOCnAYGOw5YRcm0rfm6hN3Rhs2WXzQ5vbymPmfNj4cEx8IkBIHLAlaCA1KMRZ108jHV61HY7HX2Wk791hcVJmSdmmsgUnBRhsDLackGtT6XsTtakbgy27bH5oc1t5zJwPGx+OiU8ECIkDtgQNpAaFOOv6aaTDq7bD8firjPS9O+xXyiwp21S24KQAg43BlhNybSp9b6I2dWOwZZfND21uK4+Z82HjwzHxiQAhccCWoIHUoBBnXT+NdHjVdjgef5WRvneH+1iZJWWbyhacFGCwMdhyQq5Npe9N1KZuDLbssvmhzW3lMXM+bHw4Jj4RICQO2BI0kBoU4qzrp5EOr9oOx+OvMtKP7pA+VGlStqlqwI08g43Blht2LWr9aKIWdWOwZZXMT2VuK4/Z82Hj0zPhmQAhcbyWoIHUoBBnXT+NdHjVdjgef5WRfnSH5VGVJmWbqgbcyDPYGGy5Ydei1o8malE3BltWyfxU5rbymD0fNj49E54JEBLHawkaSA0Kcdb100iHV22H4/FXGelHdzgsVWlStqlqwI08g43Blht2LWr9aKIWdWOwZZXMT2VuK4/Z82Hj0zPhmQAhcbyWoIHUoBBnXT+NdHjVdjgef5WRfnSHx0iVJmWbqgbcyDPYGGy5Ydei1o8malE3BltWyfxU5rbymD0fNj49E54JEBLHawkaSA0Kcdb100iHV22H4/FXGelndxjdFXlStqmo35E4g43BliN67an9bKL2dGOwZZPLFl1uK48Z9GGjxTXRqQAhcbiWoIHUoBBnXT+NdHjVdjgef5WRfnaH5UGRJ2WbivodiTPYGGw5otee2s8mak83Bls2uWzR5bbymEEfNlpcE50KEBKHawkaSA0Kcdb100iHV22H4/FXGelndziqLtpStqldD1YLMtgYbFkl1YWyzyZq04pb7TaRcl3miM01cCzS1IcpHzakjjYFAoTEAVqCBlKDQpx1/TTS4VXb4Xj8VUb62R2UF20p29SuB6sFGWwMtqyS6kLZZxO1acWtdptIuS5zxOYaOBZp6sOUDxtSR5sCAULiAC1BA6lBIc66fhrp8KrtcDz+KiNt6Q6qi7aUbWrXg9WCDDYGW1ZJdaGspYlaNONWu0WglSpzxOYaKjCyLz5M+bAh8/MtP0BIHKElaCA1KMRZ108jHV61HY7HX2WkLd1BddGWsk3terBakMHGYMsqqS6UtTRRi2bcarcItFJljthcQwVG9sWHKR82ZH6+5QcIiSO0BA2kBoU46/pppMOrtsPx+KuMtKU7qO60pWxTux6sFmSwMdiySqoLZS1N1KIZt9otAq1UmSM211CBkX3xYcqHDZmfb/kBQuIILUEDqUEhzrp+Gunwqu1wPP4qI23pDnfFnbaUbWrXg9WCDDYGW1ZJdaGspYlaNONWu0WglSpzxOYaKjCyLz5M+bAh8/MtP0BIHKElaCA1KMRZ108jHV61HY7HX2Wkw+yTFcXXIyrb/LTYxxkGG4OtPrhXsgm6YitprAu71V63ZOu7OWJzDWBffJjyYQPsMBMMEBL3wBI0kBoU4qzrp5EOr9oOx+OvMtK2YGuh9npEZZva9WC1IIONwZZVUl0oA12xtQ271a4NS1DQHLG5BgG8ZpYPUz5sNL2SHgUIiWO2BA2kBoU46/pppMOrtsPx+KuMtC3Y2q+UmFK2qaTdmTCDjcGWM4JtKQZdsbWNudWuDUtQ0ByxuQYBvGaWD1M+bDS9kh4FCIljtgQNpAaFOOv6aaTDq7bD8firjDR9frJyG3+eE5xRtinQ5TGLwcZgyyPleqZAV2w91aSUW+3asAQFzRGbaxDAa2b5MOXDRtMr6VGAkDhmS9BAalCIs66fRjq8ajscj7/KSNuCrbz1ZCd7yjY7NXnNYLAx2PJKuo4x0BVbR3FRxq12bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXrUdjsdfZaSjRwsr81PLyc5TyjY7NXnNYLAx2PJKuo4x0BVbR3FRxq12bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXrUdjsdfZaTjtmBrt1GhStmminJ3sgw2BlvuGLakGXTF1rblVrs2LEFBc8TmGgTwmlk+TPmw0fRKehQgJI7ZEjSQGhTirOunkQ6v2g7H468y0sm9hZXLtOVk5yllm52avGYw2BhseSVdxxjoiq2juCjjVrs2LEFBc8TmGgTwmlk+TPmw0fRKehQgJI7ZEjSQGhTirOunkQ6v2g7H468y0um1hZWs7RnFFjl2StlmpyavGQw2BlteSdcxBrpi6yguyrjVrg1LUNAcsbkGAbxmlg9TPmw0vZIeBQiJY7YEDaQGhTjr+mmkw6u2w/H4q4x0dmljZdp6tk2SnFO22aHH82kGG4Mtz7SrmwNdsdXVliXcateGJShojthcgwBeM8uHKR82ml5JjwKExDFbggZSg0Kcdf000uFV2+F4/FVGOj+3sbLZtZ3tOKdss0OP59MMNgZbnmlXNwe6YqurLUu41a4NS1DQHLG5BgG8ZpYPUz5sNL2SHgUIiWO2BA2kBoU46/pppMOrtsPx+KuMdNH64OFprsCVsk0F3Q5FGWwMthxSbEc16Iqtbcqtdm1YgoLmiM01COA1s3yY8mGj6ZX0KEBIHLMlaCA1KMRZ108jHV61HY7HX2Wky9ZX8zxTBa6UbSrodijKYGOw5ZBiO6pBV2xtU261a8MSFDRHbK5BAK+Z5cOUDxtNr6RHAULimC1BA6lBIc66fhrp8KrtcDz+KiNdHVpZGbc9pNgqiWu2OmjpPA26AnWWbs1woLLVTi8n3TrnVrsLwswRm2sA++XDlA8bYIeZYICQuAeWoIHUoBBnXT9VHtL1TQVRMh5/lZGu960ML9tjsFZZZZutWryfZLBxZss78aoGQVdsVaWVvFvtlRmLX8wRm2sAu+PDlA8bYIeZYICQuAeWoIHUoBBnXT+NdHjVdjgef5WRbttLHBTeRd2uQZtsXwUZbAy2fPGtbQd0xQ5UuzYsQUFzPsw1COA1s3yY8mGj6ZX0KEBIHLMlaCA1KMRZ108jHV61HY7HX2WkHZvFq7yLWtmmdj1YLchgY7BllVQXykBXbG3DbrVrwxIUNEdsrkEAr5nlw5QPG02vpEcBQuKYLUEDqUEhzrp+Gunwqu1wPP4qI+2awlLY1lTZpnY9WC3IYGOwZZVUF8pAV2xtw261a8MSFDRHbK5BAK+Z5cOUDxtNr6RHAULimC1BA6lBIc66fhrp8KrtcDz+KiM9LttZad/stFVW2WarFu8nGWwMtrwTr2oQdMVWVVrJu9VembH4xRyxuQawOz5M+bABdpgJBgiJe2AJGkgNCnHW9dNIh1dth+PxVxnpuWNHrQ1cE1xSuwJcFGSwMdhywa1VnaArtrZFt9q1YQkKmiM21yCA18zyYcqHjaZX0qMAIXHMlqCB1KAQZ10/jXR41XY4Hn+VkV5m7awobGuqbLPdou+zDDYGW755V7YHumIra+UF3GrnVmym5ojNNYD98WHKhw2ww0wwQEjcA0vQQGpQiLOun0Y6vGo7HI+/ykhvk3ZWFLY1VbbZbtH3WQYbgy3fvCvbA12xlbXyAm61cys2U3PE5hrA/vgw5cMG2GEmGCAk7oElaCA1KMRZ108jHV61HY7HX2Wkj1EHKyPwtqbKNjssej7NYGOw5Zl2dXOgK7a62rKEW+3asAQFzRGbaxDAa2b5MOXDRtMr6VGAkDhmS9BAalCIs66fRjq8ajscj7/KSDtnsNrf49NGobLNNiX+zzHYGGz5Z17RIuiKrajzJe5W+8uOvW/miM01gL3xYcqHDbDDTDBASNwDS9BAalCIs66fRjq8ajscj7/qSLv6wx68ram6Te2KsFmQwcZgyyanTnR1tVA7xtxqt4OxqcUcsbmGJiLBkQ9TPmwIXGzLChASh2kJGkgNCnHW9dNIh1dth+PxVx1p14Za147FXJ8kqtv81NHDGQYbg60eqFczCbpiq6msSbvVXjNk7as5YnMNYGd8mPJhA+wwEwwQEvfAEjSQGhTirOunkQ6v2g7H46860tGjg5Zhx/mP0+o2P1T0cYLBxmCrD+6VbIKu2Eoa68Jutdct2fpujthcA9gXH6Z82AA7zAQDhMQ9sAQNpAaFOOv6aaTDq7bD8firjnRy66Blcu3IeD+tbvNdQy/HDDYGW72Qr2IUdMVWUdiQdau9YcrSgTlicw1gV3yY8mED7DATDBAS98ASNJAaFOKs66eRDq/aDsfjrzrSaVdMtdoD+VK3CVTsVozBxmDLLcsWtIOu2Np23GrXhiUoaI7YXIMAXjPLhykfNppeSY8ChMQxW4IGUoNCnHX9NNLhVdvhePxVRzo/d9By6HiRz4e4us0PFX2cYLAx2OqDeyWboCu2ksa6sFvtdUu2vpsjNtcA9sWHKR82wA4zwQAhcQ8sQQOpQSHOun4a6fCq7XA8/qoj7dzi4TYG8qVuE6jYrRiDjcGWW5YtaAddsbXtuNWuDUtQ0ByxuQYBvGaWD1M+bDS9kh4FCIljtgQNpAaFOOv6aaTDq7bD8firjnS976Kl6znFd3l1m+8aejlmsDHY6oV8FaOgK7aKwoasW+0NU5YOzBGbawC74sOUDxtgh5lggJC4B5aggdSgEGddP410eNV2OB5/1ZFudl20TC9dOc3z6jab5Xs6YrAx2OqJfrhZ0BUbru5N0q32N2NWDs0Rm2sAO+LDlA8bYIeZYICQuAeWoIHUoBBnXT+NdHjVdjgef9WR7jZdtKw7w7BmCXWbzfI9HTHYGGz1RD/cLOiKDVf3JulW+5sxK4fmiM01gB3xYcqHDbDDTDBASNwDS9BAalCIs66fRjq8ajscj7/qSA+dO8UfFzDC1G3C9DqWYrAx2HJMs7l60BVb24xb7dqwBAXNEZtrEMBrZvkw5cNG0yvpUYCQOGZL0EBqUIizrp9GOrxqOxyPv+pIj50PHd673lH9xqO6zTcF/Rwy2Bhs9cO+glXQFVtBX1PUrfamLTtH5ojNNYA98WHKhw2ww0wwQEjcA0vQQGpQiLOun0Y6vGo7HI+/6kjP805agCvk1W12WvSZwWBjsOWTcy1boCu2lmZayK12bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXrUdjsdfdaTXaSctwBXy6jY7LfrMYLAx2PLJuZYt0BVbSzMt5Fa7NixBQXPE5hoE8JpZPkz5sNH0SnoUICSO2RI0kBoU4qzrp5EOr9oOx+OvOtJb9wungSvk1W1qV4TNggw2Bls2OXWiC3TF1rbsVrs2LEFBc8TmGgTwmlk+TPmw0fRKehQgJI7ZEjSQGhTirOunkQ6v2g7H46860kf3yqzu5VwNJtVtNor3dcBgY7DVF/9gu6ArNljbu6Bb7e/WbBybIzbXAPbDhykfNsAOM8EAIXEPLEEDqUEhzrp+Gunwqu1wPP6qI32mnbQA95BXt9lp0WcGg43Blk/OtWyBrthammkht9q1YQkKmiM21yCA18zyYcqHjaZX0qMAIXHMlqCB1KAQZ10/jXR41XY4Hn/VkWbDblpgK+TVbXZb9JjDYGOw5ZFyPVOgK7aealLKrXZtWIKC5ojNNQjgNbN8mPJho+mV9ChASByzJWggNSjEWddPIx1etR2Ox18NpIIOMb1CKNOwCVHrWobBxmDLNc/G+gUN1Fg3BlsWKBSpcFt5zLIPGyIfW/IChMRRWoIGUoNCnHX9NNLhVdvhePzVQCroEN3vTaxTqWGzXryv7ww2Blt98Q+2K2igYB3dgm61d9vVzzFHbK4BjN6HKR82wA4zwQAhcQ8sQQOpQSHOun4a6fCq7XA8/mogFdwrPHRueFqnUsNmvXhf3xlsDLb64h9sF3TFBmt7F3Sr/d2ajWNzxOYawH74MOXDBthhJhggJO6BJWggNSjEWddPIx1etR2Ox18NpOmzkxfBthC1Mho2a6V7+8pgY7DVWwVADYOu2FBlH3JutX+Ys3DCHLG5BrAbPkz5sAF2mAkGCIl7YAkaSA0Kcdb100iHV22H4/FXA6kg2MoFi+dfZGrYfBXu7xuDjcFWfzUAtAy6YgN1fYq51f5pz/yMOWJzDWAvfJjyYQPsMBMMEBL3wBI0kBoU4qzrp5EOr9oOx+OvBtLRo5uXya07r8rRsFmV7fELg43BVo9VADMNumLDVLVIudXeYtD4lDlicw1gJ3yY8mED7DATDBAS98ASNJAaFOKs66eRDq/aDsfjrwZSUbC1PAI407AJ0OpchMHGYMs50aYGQFdsbSNutWvDEhQ0R2yuQQCvmeXDlA8bTa+kRwFC4pgtQQOpQSHOun4a6fCq7XA8/mogHd+7edmtu/OqHA2bVdkevzDYGGz1WAUw06ArNkxVi5Rb7S0GjU+ZIzbXAHbChykfNsAOM8EAIXEPLEEDqUEhzrp+Gunwqu1wPP5qIB0LbiNeZgDONGwCtDoXYbAx2HJOtKkB0BVb24hb7dqwBAXNEZtrEMBrZvkw5cNG0yvpUYCQOGZL0EBqUIizrp9GOrxqOxyPvxpIR91PI+ZPyAp5DZvaNWGxIIONwZZFSt2oAl2xtU271a4NS1DQHLG5BgG8ZpYPUz5sNL2SHgUIiWO2BA2kBoU46/pppMOrtsPx+KuBdJQJeBEt6OLFNGzyon2mDDYGW33WAcg26IoN0tQm5FZ7m0XTc+aIzTWAffBhyocNsMNMMEBI3ANL0EBqUIizrp9GOrxqOxyPvxpIU1GwNT/LSdOwKVfqXoLBxmDLPdOGFkBXbG0bbrVrwxIUNEdsrkEAr5nlw5QPG02vpEcBQuKYLUEDqUEhzrp+Gunwqu1wPP5qIBXeKdwAFAJEtJl3WJDBxmDLIcV2VIOu2Nqm3GrXhiUoaI7YXIMAXjPLhykfNppeSY8ChMQxW4IGUoNCnHX9NNLhVdvhePzVQCoMtk4LOWkaNuVK3Usw2BhsuWfa0ALoiq1tw612bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXrUdjsdfDaTCYOs+lpOmYVOu1L0Eg43BlnumDS2ArtjaNtxq14YlKGiO2FyDAF4zy4cpHzaaXkmPAoTEMVuCBlKDQpx1/TTS4VXb4Xj8VUf6TIW0CF5Tzcup2+Qle00ZbAy2eq0EiHHQFRuiqFXGrfZWk4YnzRGbawC74MOUDxtgh5lggJC4B5aggdSgEGddP410eNV2OB5/1ZFK5q4AL+xRt6ldETYLMtgYbNnk1Iku0BVb27Jb7dqwBAXNEZtrEMBrZvkw5cNG0yvpUYCQOGZL0EBqUIizrp9GOrxqOxyPv+pIr+J9SwEv7FG3qV0RNgsy2Bhs2eTUiS7QFVvbslvt2rAEBc0Rm2sQwGtm+TDlw0bTK+lRgJA4ZkvQQGpQiLOun0Y6vGo7HI+/6khPSyEtu40wm2aq25Sq9CHAYGOw5YNrIxugK7a2BbfatWEJCpojNtcggNfM8mHKh42mV9KjACFxzJaggdSgEGddP410eNV2OB5/1ZEexNHUWTzxRSlVt6ldETYLMtgYbNnk1Iku0BVb27Jb7dqwBAXNEZtrEMBrZvkw5cNG0yvpUYCQOGZL0EBqUIizrp9GOrxqOxyPv+pINwchLY+RMJtmqtuUqvQhwGBjsOWDayMboCu2tgW32rVhCQqaIzbXIIDXzPJhyoeNplfSowAhccyWoIHUoBBnXT+NdHjVdjgef9WRLiV7xA8Fr05khKrb1K4ImwUZbAy2bHLqRBfoiq1t2a12bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXrUdjsdfdaTTm5iW6UWcjzNbMn7e80FXoPdC4mMHKsUGfea6dc6tdhc8mSM21wD2y4cpHzbADjPBACFxDyxBA6lBIc66fqo+pOvbCqHk4R4CCgCG6wkg1BRJJTNXq31T/vMo0tbAYOPM1meFBnYGdMXWxuxWuzYsQUFzxOYaBPCaWT5M+bDR9Ep6FCAkjtkSNJAaFOKs66eRDq/aDj/32kX9FlSvGOmarP1K5oK6UZlGL/kYbHmh2dwI6Iqtbcatdm1YgoLmiM01COA1s3yY8mGj6ZX0KEBIHLMlaCA1KMRZ108jHV71Hd50F71fwpn2ytQr5ix7+eFF+jiiutFuNj3mYLDlkWwTU6ArtrYBt9q1YQkKmiM21yCA18zyYcqHjaZX0qMAIXHMlqCB1KAQZ10/jXR41Xe46/Zctk2TJEm3mb5qmyW3kluCLbZ2u5aT9VOS1/kQ0UhbAwZb9WoO+Dvoiq2N3612bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXvUdzjetYcxjnCz258MiGT8MdFsrej6qq1pI17/LFnVhsKXIOugKpKbTgUo1AC6l3TrnVrsLXswRm2sA++XDlA8bYIeZYICQuAeWoIHUoBBnXT/9vWArW7ewlY2H54x+LsNxAHNbl30LRtmpkRS49HHESFsDzmzJ2kYg+aArtjZWt9q1YQkKmiM21yCA18zyYcqHjaZX0qMAIXHMlqCB1KAQZ10/jXR41Xc4zx/rz7mtbZKsimBrlST9U3LYa/j3GEsLSR9H7N91qQ9tAhhstbES4DnQFVsbt1vt2rAEBc0Rm2sQwGtm+TDlw0bTK+lRgJA4ZkvQQGpQiLOun0Y6vOo7TEpmm49tFdL5qoi2Vsl6kRopNy98W191lByX0lL7tUQk0taAwZakXkPJBl2xtcG61a4NS1DQHLG5BgG8ZpYPUz5sNL2SHgUIiWO2BA2kBoU46/pppMOrvsNFyetm33jw8J4cMhptkVgrOySNLENLqsUfh43Gci1qZSl+WQ8VkT6OGGlrwGCL1m4EH9AVW9sPt9q1YQkKmiM21yCA18zyYcqHjaZX0qMAIXHMlqCB1KAQZ10/jXR41Xe4LPk8bmufVXLKSKQ1IbFWdkpWtRzfXw/a6/Olq9/zXPo4YqStAYMt4/7gRwHoiq0Nxa12bViCguaIzTUI4DWzfJjyYaPplfQoQEgcsyVoIDUoxFnXTyMdXvUdbi1JZ7aybJJMyN9+Z7Za4UFOXiYAKdnbESNtDRhsAeo+BBHQFVsbqFvt2rAEBc0Rm2sQwGtm+TDlw0bTK+lRgJA4ZkvQQGpQiLOun0Y6vOo73F4ynbOZLbJKvvc1W+0IZWfXkJqcSlaDQXTIgPSQj8FWD6TrmARdsXUUF2XcateG1V0wG3bnAXM8+uzDlA8bQGa5WICQLEMDeYhCnHX9NNLhVd/h9pKb5EzXa5F1W+cAnkZsxyg+m0JWmsnWdUXaGvoKtiwMlu+V6kDlu4n+jt0651a7C9akL9iSGvXpM2i4lSIWC/iwIUbwkRsgJI7RErShdM8gYhBkK0AhWA8BAee0a6eRDq/a/nYUzMYJXa9Foq0khH22OlAKTp+ngswqayd4WREVirQ19BVsSdfAVcSDv8CuDWB1YQk64KvmoFvtNUPWvt4ht/6F1nz67GNA8mFDSOhnZoCQOEhL0PwGW6ArXIhCnHX9NNLhVd/hjpKHJJnvz/t5ksgf6utQ0evp5R5i/jQXS0XaGvoKtsxnJj6qI+t745EPRBZPOOCrhs5n4FEza/D1CvqFJDLg02dLQ7vIHdj8iVCD9UwfbmuCtgQN8GgVbGYrxBAJ1ENAwDUrqVYs0uG15oGlr8cNezei5sYLllDoqnmCOkx+l2x8Gmlr+KJgC3Rt0G0lfZcD7LtrANFtKGcArLMoYGu8zrIsw6fPloZ2oUc+bAgBfGYGCImDtARtBHkCHmILFLPAhCC/OUHXSpAQCBNnXT+NdHjVd7ir5GOU3S+QdU9dCno9v1vBzEtW5EbaGvoKtmSxK6xOGlI+R8+GYR8HDviqwXarvWbI2tetcX/z6TNkuDWlxocNRYwBQuIeWILmN9gCRT/2hEAXVJA5zrp+atzd9U2HVXIlWc4UFtp3NKPb+5n247E4nIy0NfQVbN2M19x81BLo2vBRKpITDviqee4z8KiZNfi6+HiThaoynz5bGtqFLvqwIQTwmRkgJA7SEjTJoMCsQWyB1kCAAhuQEOhaaU+Is66fRjq86jvcUfKe0kcyOnZv3+3J2vGQ13IdZx1uvZ+WXN4jbQ19BVvma27e60d6o/ejQEwnHPBVc99tKFczZO3rBPgTqdugW0abdiHDbbOE+pEPG4qoAoTEPbAEzVqwBQqRQEL2QiTQzxGQEGddP410eNV3mJRctjg931OVk/a7cfNFns/bs4yAWCs8vgBVbXZCwRZihPKBZGKwFUhFSGCcSD9y9/EZeNjxAvQYmNDUWfLEi7CwYqaloV1o1YcNIYDPzAAhcZCWoIFifogteyESSBMoRAIJefqdFunwypubVjr9fGXzha0cFwRbWpY8FQJPbOWHT9frGCNtDX0FW9J3Tda5hX331O1hYGxLHZz+YIku2Lqa34U2X2IPr2PIcAvX1i7pw0a75c6zAULiWC1Bk211XZiD/DAIMUQCXVA9XToiHV55c5OkV/JT+jkjNwCPa/Ia5vlovHrm+S4ZzmaP/DQdzeiG6pvDbryYstUTk9VuNN5TpftJOi/WN21H4wOd2drS02WZG9G0eFCxMD5jycbwL5SSVhVpa+gr2HIwrwC6NrzqM65vsm3ezLxxEPqaAZKV3q9lEtJ8CyqkNriApaGdq2tNfdhoNdx9MkBIHKwlaNaCLXuzSKDLoGQwYyyBhDxdOiIdXnlzk6SPwT0/Dsis1ZT8pt5uz6cx+X4dTY/HbP+3Pa//yKKJSTI9rssNbybJ7LQdkOBs97c9Tf+RyGz7tztNEhJs0ekwXubf8nxai5eaS4BZzd7D7yVIbphH2hr6CrYc3Ba7GW+9ZLVp2VUmuYltaMxB6GuISFJcsoBSUrrINn+eEWKFyVga2oUGfdgQAvjMDBASB2kJ2gyyCAUysxViiAS6Kji4kPM6qqeRDq91F0Tfh7t8uRhk+V/53M9zQMKr4jbiP7p6aUHClAnZ0mNUNrcJ3RphRU78o7wka/KFiGV/ZbBVlrkPAprVIlN3oDf1EH/oR9xnIm0NXxRsgX6IsaqM7+/S6SZ2Z9JLo/qk5peR9d6fx5aGdiFgHzaEAD4zA4TEQVqCNocEW5CNHEEXL9AsEkjIXhzldn0Dr65YX9BS4Zd8Wc7y4Xl0upB4K3+uJ2k6IFEXDbZug+V6TU6QYGuZV1NDE3q9Pg+yO43J8sU0v5OpMSJCTpNCVZl0uDpLDHvMXq0VjE2Edxwx2FKgktycJg3J8gd0lbFs05u6udNe4+nnqTW27iNzVW7D1yY+S0N7U+nbkQ8bbyZlhwFC4pAtQQN1S2vBlr0QCXT5BcVRbtc38Or69mDr+O/xl62WG3L3MB9Nz7fbgPy4psHWdbDakA+Zt5qssmpqiAReZG3X4HkrYqzlhMRX9NfnjAVbVZlsP/sbhnIb8VZsWlFVqOSL+OqMwZaEvma2gxUzoEtRE0U8R6DFIdrugC6r2trtF9ytzXWCxklzM4UGS0O7EI0PG0IAn5kBQuIgLUETjwmlMcjOp6BfiqDfRPbiKNA12tPd+EiHV97cZOlzQCKmczpZ5zldv0Vmqspg60m/FJ/JalM9JDWhzwft//KMToDl40X5ZciCrVcZcmsxrQoxNb39nXBHQAjEzSrS1sBgD0oC/DkhJhNUH+9CoEvRe6FYjiEXbH1fPP081Qf4VnJmYZ4P9NT+m13dQ0tDu9C8DxtCAJ+ZAULiIC1BW0O2kIT0XdAvRdAVDvTDyV4c5eluvL+RibcQv+losCER04Dclc4Guzyb0BhrOX5m+XxI7hTeyPVusnzNkNLsx5CEUXOynuIwILfcZqNnvhuwYIuXeZBSz2EgzG0INoWP+CdDID4p+FOIMtj+gy0HfRR0lVHlJxB5x28gc7v83jqHVth4Xbqs4/tQaGlo/9BbP+HDRt0e4HuAkDhqS9BAHQcSbHmOo0C/rkDOgeb2OOv6aaTDK9jhFY2Yxn9UfjdI/rZ/JNi6j/8Gt2wx+Pf3b0+CrfGLg8li9G8woeu7xiSXnn+MBv8m5W3EvCxz+zdIBjMiFcDnpni5Fe/t82IiANfgEBhs/8GWgz4K+rUGZyYoSdCT4fqIV5Af6PrqbZcEjUwSo1YCNomNKtvS0F7pa/viw0abXcG5ACFxtJaggYIWyDbz4l/yJWrQFQ4ECXRjAXRV8HQ3PtLhlTc3pTS7NQKk7PagxW+jxtl7uRbrwYX5icJUWeZxeypZdiacjZVuItIZORGWSFtDX8EW6JlpEd+feaALyGexKM6A7jLoe2JhJwV94+ollxZiQ8fha9MpS0N7U+nbkQ8bbyZlhwFC4pAtQQPNpkOCLZAiUBwFmo8C3VgA/SD2dDc+0uGVNzcLKd3zNNrPcqUKXTgTFmlr6CvYctBHQVcZ1ToPRH6v3FiVgDsIfZXsqwlnwo4I1AVakQzUJRWzNLQL7fiwIQTwmRkgJA7SEjTQhBTkWhdiHAWatILcI+WkG6SRDq8GHr8VPZM18Y8Z+xQzXW/5QR8e6C1PtY/wibBIW0NfwZaDPgr6taZW48FIOw4kIcNBMFzkp7kFLJK3b1mwUFNhaWivafz86sPGp1XhmQAhcbyWoIFmnIXjRgkINC0PusKB5qNAcRQEt2T3SU63cRrp8Grsd6VgTFa7Zyf2UY5cKi39fLlVe1bA7QubcaStoa9gS7xDLLxOapLC6qnJxfjV8X0+yI2OcGhbKN7/b0UOGt1aS2qctDS0Cy37sCEE8JkZICQO0hI00F6kkHlj0K8p0CIq0KViCtmMFXJV8LX0MdLhlTc34/QwM1bRm4Kn6oItilR4fY60NfQVbFm62NUbEOgqUy8Q0XfHU0827st5YzOzEqh7Dc0dtPYPun3Y+DAqPhEgJA7YEjTQyj9IsAWatAJd4SDWctD1BNLPQARw0g3SSIdXA48bRbOUbhUf6We20QAuvEEfaWvoKdiSvGhSo3LIViOQX2tamvsvBLnuGaC0NPQYIFAoelDbsaVDM+geSUdZ5dM++PVhQ9HxACFxDyxBe0BeZQC5ZweatIIogsVRoFUcEI58LX2MdHjlzc003dp/4YopJHD5ldb1WjhnHGlr6CnYAr13FVydTNDr8KmIzVDc8e9HX/cCDFkoi9vY0VT2plM7SCstkGGrEtb84sOGIrQAIXEPLEED9RzIhNSSbgUu+4CucJCbf6CVVqAfxMIJCJk/CvmRDq8KHopEHxbeBSvS7zJvp744nsIRtr5IW0NPwZaLH0SgqXGXzcqd7qPWjwMwHtDvc7A2x4I23oso6cvWPbA0tAtx+bAhBPCZGSAkDtIWNIgeyB1re5NWoCUBENigX3igrb846QZppMOrgcf1oiudG3F1Bf19P4ImUVvwiW7mRNoaegq2bGxL+V5BurX6rifA443b1uVintEZi3a4cBHtd7sMGdu6S8NyfNiAIamkAoTEsdmCBgltILcIQWsgQFc4iGfCaQNOkfBGDhcCLeznwgap2wugATAfRdXe4ewDEdjGaaT7IuyxYJVapK2hp2ALtIcfuEaZIOS6p6gyFPE55CaDPli/kYc+zqKknRl1Fw2w2zHIANhdGpbjwwYMSSUVICSOzRY0yE07yOJ30B1CyBUOdGMTNGkF+kEMmbXjnJukkQ6vJi6/ys73r+9xfbvoL+wXzfVG2hp6CraED3Zqtidb109N8y6LgX7S6gPwtfBCH+GrpJVNtvIcMgC+jJp+89E0fdhQ5CFASNwDW9AgQRJk9gcStOUQ0PYmrUC/R0Azcpx0gzTS4dXA41fRy/j1Pa5v11T/oTXRFTrS1tBTsAWZWVdsV6CrjKLOQMRBv1YNsIK2rzbQb7PozM4kn51V9lDHIKMkVFeXnA8bXbY7zgcIiSO1BQ2y+B3SvSA/p0CXAdCkFWgvVgjsHBQkctIN0kiHVwOPX0Undi55L4W+vl1TshOr7ke0GjDS1tBTsOXgBxHoKqNb8/2Wu0zd2hf9iHBrWVm7neXxeQ65I6MMrrOAraG90wDJ8GFDZL8lL0BIHKUtaJBfjaJhg+OBtEfQz0nQSivQVDboqiBaxsx9s5FGOrzacP3o+OpvA2OrDpN5rTwX/SCItDX0FGw5+EEEusq0NorgT4J+Yxp4Afl5bqDeZtHVzoq2R2pFDVSJraFdZM+HDZH9lrwAIXGUtqBB1kNAQhsIHtDPSdEYxZ3PIeFfDlmOBZpsq8wafIl0eDXwmBfNRlf+Na70YnAPkXh6E9w8jbQ19BRsOfhBBLrKxNVcOVrH6+NzyMITjqXf1Mo7qIkLllZ+QcmADKVQXV1yPmx02e44HyAkjtQWNMjCJshKcwge0EPDkMhO/C4UThHk7gMIEldokkY6vJq4XJbdRbqf6dks1spFcXykraGfYAs0Ia7YUCGXPUWVoYhD7jGYYIUsGDHRb6/sbmVHF2RCwo6lQgtkKDU158OGIsYAIXEPbEGD/MQDPOwrGlk45BygJ4dNWoHuEELuPkDcr/CbfIl0eDVxmZV92nn62hyIoob9SLB1A0iXYNSLtDX0E2y5+EHk+l4bqIE4EQLdPjCxbGvkMcEAK2vcg0szrucK37zxQbAPG29uyQ4DhMQh24IGWbwAkAFtKwyZIctBl0HIHULQskZvv3AjHV55c9NPI93PdDN+6PvMSgrut0TaGvoJtkCXDcXKgjxgragyEPGD44lkzwuYDFg9zQwK14t6nsuzNbTXXXj/7sPGu03JcYCQOGJb0CBREuDHEkAkz0F3CEGXQcgdQtATFyBrnHOTNNLh1cTlouw9zYx1+FfwnM3MYQtWEkfaGvoJtkALNBXbCOS5IEWVgYi79uw6CcRRKYypwaPEdeUubmPX9b9/tzW0v+utH/uwUbcH+B4gJI7aGjSAIkBrA031g66aoIsF5M1mANQ5aBE9p9wojXR4NfKZFo5yP9PLyEZ1CQJ5G+qNq0ZdQT/BloBHdRfKEoJAWFtnGAVFLy6wgdDFPKMNXB86LraiQs/r40GTBB/eKp4AjPqKGo3FA4TEfbIGTbCyhNsCVD/gTmMOu0MIugxCJnZB8Z/gVk/lvZUvkQ6vpr5fRqYaeii/GelvZVqDK/htEWlr6CfYAl0RarxDvnrr9xAwNmWc3+UTtGqbfpjrmh3NdRQaXAT7ImjWhnaBER82BObbsgKExGFagwZZRi4PyEBr30GtFnSHEPIwOAgSJGrjlBulkQ6vRj6TwhHuZ3oZL5+mbhflBQ9fRNoa+gm2XARGkKuelUbgW8lx4dgi6CLuGANE/c3az7yplZ9eEMxMxtrQLjDpw4bAfFtWgJA4TGvQIMGN/NIEmlwGPUMIuUMImGoDrhCzRiOvl6400uG1yx3g+fj2M81WI0tLPUQbbUXaGvoJtlw8zir/+Qhs4aGJLQ+OEYGeTXKMAaJ+sYdIAWQyyC97gB6wiI8xyYcNsMNMMEBI3ANr0CCdR/7bErT2HWIK9P4c0HIsyHw35PEAzrhZGunwauZ0Ht1+pvt0bb4yviRNsB1KpK2hn2DL2qWu1phd6Kyp7++ri8i04Q3kx3mjQD8H9h7Mcf36ow9+fLRNHzY+HBOfCBASB2wNGmRaWL5qArSFglwN8Q7ymxP07CPEMdBSM065URrp8Grkc75zfU/DDN5H6fN4fv84qX9i2Hk7MtLW0EuwBersipUE+rWmqDMIcdFrC+wAlN/lsGPHUIulN/UQFKC9iAzRNopbG9obWpsHPmw0LUqPAoTEMVuDBpkAkj8hCAq25pAbNBDHQDESZEIdNCHHKTdKIx1ejXx+pjZDFyMokMKX2cTu6ozuO+KRtoZegi0XD4OBHp6BtJnQZHZr14gg12fXGOT6H/Z2nPG8pamfl0QHWIsBQuLtzBo0yLVM/r4CSMgGe6sWxDHB0mPOD9l0ABDa+fvVEunw+qJT49t6rVGoryLn6djW40vche4WGGlr6CXYctFHQRcQXo0xpc4jAxfzjA4ItjexlXfPTzvATVVCRkBT0z5sKGIMEBL3wBo0yI88+QQQ6IrY/Uufe5XnoAl+OR6iUL7QLM9BS/Zf4Ay+RTq8Gnic3yF3hE0MWCx7mjp4brK7dUXaGnoJtuTT6urtADQRr6629xLuF3PHEabaW7GV+9/E1drQLmiOPmwIzLdlBQiJw7QGTbCMl9sCvNRQPvdFlEFu94OWrIPm0SDWuuceKt8tfYl0eDXxfrEzKe2x7HM3mgGmQZURdf8CibQ19BJsQX40qVYN6HKlqjQAechtCjOYoEuvmQkLpS1ObG03FvAoqbA2tAus+rAhMN+WFSAkDtMeNMA0qXzuGHT1gmxqBZloy0HWIE/sQubaOONmaaTDq4HTV2sb3RiAABS9roYr03dOt5vpnoCNtDX0Emy5mB91MVvW3gb8noWsUzVD1D1ba6bXammLE1u571228Dai1aZgRZm9YAsQcMhnvyCP/oEeNAStfQdZgzDk4kLeXr2RDq/tzoDOTm0vgQJZVRR67ifjXedDg4rK3sW723KkraGPYAu0ruCdedmxvxltGRK7+e6vZ1Ewt7Q3py4f+uzWINEGGbhMjfqwoYgxQEjcA3vQIBsySDsxKPyBzDWB9n2H/DCFXKQ99qRIh1fe3NTTk61Xk6mbBpc4LYbLK1haWbD7lnikraGPYKs7YlWuj1cBwA/Ml3A83zxsCQVZnNE3YTYnttzfmP1gy97Q/qG6OuHDRmUM9iVASBy4PWiQiWHpxclasAVagAnZHRVyP1J+e5TTbZxGOrzq+23n/YL69qUlz8vh7GhtB9NWc52dNNLW0Eew5WQtu/THY2t1Bn9ybW9Gp8vXzibdVaCH89Y2jyfYPVD6zpAPin3YePdLchwgJI7YHjTIkkdpdAOJ2EDzo6D3/kAm4yC/iD38EuT1FenwyuErp/u5chGPBbLTMp3uXd0+rBzp3M470tbQR7AF+hlXMQ78Yu/qCTToR2zkfF+77slaPx5CrNh7KyKxNnaznFPkh4/G6cOGyMeWvAAhcZT2oEHmkqQr0q0FW92LirnnJIW8MgLiFshYza7B10iHV12PQ97P9HmYD2eHh65rCuU6H6SLtDX0EWy5WCQUQ8ig0My46HXMvzlLQas8nFmHKZ5ZfD3kvYenfOwN7d18+bDRbb01J0BIHKc9aJD7bdJ3yYN+f0Iwg+4adA5inB2SQgIp9/stV4AiHV4r/Ipfgt3P9LKZpEvHdw8rrjpnYCNtDX0EWy4WCUFmvatKjOfL2n2zAl2e+2XsYjPk9DhCVKxBhslKWPOLDxuK0AKExD2wBw2ySlwakPkNtqRLyAhLkMuCxxvy7q+DvGWEkD6CXBRz28+H063DFfHv1HfO90baGvoItobvpFo47mHVswXUUhUe3o4Fus5LgToVmJ4sqve/8QM+jWix+iypshdsQXZkkAZkoE4IwXxYAwiC/Nrt3lHyZUC6FO0lavot0uFV0+3w9jO97RfpeH1yuyD+na3ONhhpa+gh2HLyZuX96r2mvuH4PHXvRedcrXvTQAtWn4J+ugj1ZY5AhkmZDlm+DxsyDG/5AULiCC1Cg8wTyfYjlS7qorghmCHL9UFb0UMQuVgPwivoLY10eH3zAnh4HfkNasSwsst2PhyvTs7Xw3/A6LyVHWlr6CHYAj0w80G85ATop6FER3jZy717TJCfue5RiCyMbb5M/rAQmXKUBxkmTU37sKGIMUBI3AOL0BaA3SdlYUnnb3iOl6YQzKBgSxb6UWOdt3BoZvmBrP3isoZppMOrntfh7Gd6O6wmw9nm3E/w17mcONLW0EOwtXFBFeSKp9fyeyyVAV4FYgyvj5keJdB2n4LupaFAhkklTlqEfdhoMSs6FSAkDtciNMgckOyaB4qREsCQB1JkK9iC6OGEG6YuxgxDSM6KW53J10Z5O6ynw8lq7//Z7Qpy5z5ukbaGHoIt2a+8imuVLx5/ZKnAMpP1sRBNunbXzAXz0pnVdWte4tcPpy0O7R+6+QkfNrgtYBogJI7cIrTOmx3cFkllPRmyHD1PADdyQMspIMuvIbvMQ7a0r5Fg8jXS4VXLZasz+RoInpf9cpJMlvsrILrX0A8u0rnUMdLW0EOw1blVGbgSWgQh14+WYmGfmgNuUJh6ABkqTG0Yld+sjIq/FZaNem/ilg4tDu2diHzY6DTenhEgJA7UIjTIzxXZzjSgXjgE7G10WHIPBSnkYglZ/G6RRAHaIivS4VXmVlu+3Zn8Ngud5+7n3Wo6TGfrQ4/zWTV0XdF8pK3Bf7AFeelWjW/Y184YGFY8TKlH6uGXReiL3Sw/Bb2wuGMXvNX4GJV82IB7XEgGCIl7YBEa6NojiW8gW4jmkA2OQUsSIbf/AMGWkys5r6C3NNLh9c0LyGGW9hHo3E+75WSYTlf7C2D+FOKHDZmu9cSRtgb/wdZ5ZqMa3nR03t19k4vqcGd1TqfDdSc3dTts6ZxeWu1YWddvJR1o8DIWh/ZOoz5sdBpvzwgQEgdqExokdpmdueXWFLRNIOTVB0fIa14gURvgIWWfF12rV4HWKgjlpN2ZfJlXz+txu5yOkvFic7gGFGYx3F2vOoi0NfgPtkAP3sjayHu+kwju3Yjv45GPnziQC69vx2v2bnafggaNRTXzlr7aHNq7IPmw0WW743yAkDhSm9C6hgRui6aSFfKguGUC2E/yBPkpC7mwYLBVrz5/3x9OVtl84H/ezvv1gs5lLTeHC+D+9IcGHye6plcx2AKy7+RxMNACUyDAUMQuEw9IQPdAPODoMmH5KWgnja8L++u8zaH9pbX5zYeNpkXpUYCQOGab0FZ7rrU7lfwaBHVDSFDX+bR8HdoYELUBegpksVrdrMn3SIdXdZftzuS/2ycx1mG7nI2Hw8l8vTvdPKxTeYegcty1/0ikrcH/zFbXfViVSviQDX3l0QdgwAkvy4tA9y8AYB2JnOzu6trTXUTQDkmmDNoMH0yxlOUDhMQ9swkNst2CLJqC4AFMNuWg/jwBbFy3lC9uBNnihBumkQ6vyl5bnsln9p+3y3G3KWOs1fZ4uQceZHHauu6CRdoavAdbsqsO51kt7ZpvVNMSlPTTy/Ii0NNLvfGSjQC/wRXQ9XQXEYMthTryIwoJbqBIJLNWTI1kbxrIuq+u3/l1nKDXc0gWkBX6APspg2bR6uAMvkc6vCp7PJPHuECdDxJh7TfL+WSUpOPZcrOLJ8aqPOx6SDfS1uA92HLzc0hyKatqL6IvXpbH5x7fJavB/RbyILuC3pnNlywq2LU5tHeZ9WGjy3bH+QAhcaQ2ocn2dShsSubeIRcwyO6poCcE54BusNpxqjpT0COUnaXVMiIdXtWczPPzWLVETT4j8dXpsF0vZyTASkaT2XK9PZ5voS7IqiHv+toVzkfaGrwHW6Bd97rI7zwP+WHYWTjMDMgqVnPkkB+55lY0NdheLPpINYGYFrM5tHdh8WGjy3bH+QAhcaRWoUHmoCXTX5CpedDCVIhjEGNr+YCGwRZvTdbSsfih1Tc7TxpdHXfb1XI2HaXJkMRXi9V2f7xcH5HcJ3xz6P2wa1WgvG2+awri2HuwBdmZWJ0ZyCVGXWufJSyvVupyxc+zL13WJedtLxb1M1nY4pSP5unDRotrolMBQuJwrUKDvIpasnxCMvFVwAYFN5INvQpFkOns7YZT1Zl2zTt0FjDIiHR4VfT4IHqWNHvcLyS22m83y+VsNiKTVymNrpab7eF4uTwinsDqZKlrnjbS1uA92II8v9xJflcG6MnprsJhnvdzx+sZ8psRr3a3fchzyFNYTlqD1aG9A6EPGx2mu04HCIlDtQoNsnI9nwpXpUNmrUBXOUjg17XumJNDU8CqfzcrQuogXt8jHV5fDkC+Za+7GQ8yaXU5kshqu1wuyLwVCa2Go9GMxFbr7e74rcHVB0kd3TTS1uA72JL8wPtgG3YC9JsPpioQqdvICxCfP06VHZoAlpaoKL2aLIhQMfQh23HN+JAzOeHDhiK+ACFxD6xCgyymyndrbrsthQQuoGsnZD1W17rjOjCATNdNnroaW98jHV5B7j/plBUNrGYjEliROashWXFFJq1mSxJZbY/HE7kt+I3zVgByOm68RNoafAdbkIsKoBLeRAA/w95KhH4IWJ9qwwXIb1wbdnR0WH9HGGAZig5OQBmrQ3uHPR82Okx3nQ4QEodqFdppwdUKUvFzgqBACnSLcC/AUGZBfmJJ1phRTaCZNjkakESkw2ubbyy02pKVVnOykr24GzguAqvNcEcCK3JDMLid3Nvc8HKuY5420tbgO9gS/77TrUDIQ9G6unsp94RcVy0gA2xdaMGKlopnetcq112o42dSdwFrOVaH9g5UPmx0mO46HSAkDtUqtDtoGlr8rgbIIz6QXU0hvzsheAFT66CnMDnhhmmkw2vhdfa4kl0Y6DL2YqXVqAittmSl1flyq09ZreTL5AxZjK54R4uPtDX4DrbcjO5BP1On08J9LeUWDwA6yK2VWdq+9PS1yRZhxOrQ3sGwDxsdprtOBwiJQ7ULDfI4Yi7eaB7yjlLIb0rQigqA90+5TNfyZc6xzTS64fV5ZxuJkl0YhqMp3YVBtoz9nn7HI4Q2q73judnoWgPjxHewBfkBp15bAccM6s7QEtZnddphgG5etBd1fdb66vjczyMHrbzIB67WYkonfdhQAuQnxlSExMXtsgXZJSsX35iDrPuCrKIHTTdB3uIxlC4TyuySyKumNY1leM3uxftwXhuJwre5mu9bPf/pkx0/L2JpDW915znYcrTTkcde/8afm8MDZBGIBdOQxRsWzOiosL06Pr/3tckW8d5H+/RhQ7EiA4TEPbALDbSfTTYUrcURh2IM9hXytlShldJ9yDQa4LFxiClOuGEa/vB6P+9Xs3Q4nhXvw1F39wK6F62uN+oSHWuKw28Nrax7DrZAS0lbgYpO+lypKcJhLc/yW2o6cblZQddpTiHD+ur4fG37tqSCN3aH9nbDPmy0W+48GyAkjtUuNMhCqTwXvm4QNMkMuV3ZscyFO16kG8BoBVjw4XErFQDghoc+D26n7WKcjBebw1UUTndDKkpNj90CP5tTzOV+PpQecmsQ1JXnYAuynZ4AbUcWaJ1CR9kQTx9Fe9vZBAy4oNo0B9dlf3V83t/yeJzZgle8L0m7wdYF9L70k7Bbj29y38V7dbHykEss5DcvYJvVmb/4IMzh9XbaFGHW9gSovO7qpT8DPW1i3Q0iyBzaUI+frSzM1iBl0HOwBVrcIAX9LgD7YfleKtzjidJLGwz8gKzdMFCvX9T66vi8x+XxGGzpNwRXJe0GW8C9gYWPGEOCJMiM1Gku5wzyOOJRvpTB0/401J/Qhtfb0UqYxaqK3o4dCfe8lVfp10kc6JpBslPUvWU6N7TWACTfc7DVQhwQqEhM/JyPqGSQeWfI0gwbyEG3LmwYUtVxsb13fJ5PPyejVVHpy9sd2ttx+LDRbrnzbICQOFbL0GDP/Sz33HxLClm0BZEBPSMoDPsYOEBA5uY9ty3cBBRsZSzMmiwMZ7NqXj6SfV4um9C7DVnT9T1fH+mKbuWWjVtGQwy2APUMWuEJ0PMm8mU7P3iLC4JdH299dXwO2DborVHZPLQ8tLdC82Gj1XD3yQAhcbCWoUFWnOf5WXS3MQP8EIXI5JD7kZAXDMmXv0NiP064YRrA8JpdD5v5OKFhlt0dAK/JKKOPnz/3O9z84dVOdsnw/EyXScta2wBawwsn/JvfmS1H9/tgvyvhpPQrefH2VplQ18fbXx2fL3d9Vqrlob3VFR82Wg13nwwQEgdrGRpggRO1LFw3CHnRDuRnJWSeHzInJbfl6NlyXkf1tNfh9Xk9rOej4WS5sxxmMQ9Pabpc5ddl+rk4qU7Bz32fjIbzZJi0zPb12hr068FvsOVoQXbIb1NWrxp/j6U4qg51l5slHvZ3GfO1I3/TkerI8tBe6a1/8WGjbg/wPUBIHLVlaIA3CVLLwhdG7ZccXHcKCZIg803idwcx+x2P3dfB2e+ode317z0Nr8/zfk32c5iu9me6hMjNZ5+mwy3ZmevqRn20Wq9pQl4T2Tb10FNrMGXSb7DlZgoKcuUw5clf+XNb63JjPtC9YBf2+5KvHfk76sny0N5qxYeNVsPdJwOExMFahga8BAlvZj8B9xEBC6ly0L1G4RwbIwmw5mN+4Hy6Tu1fEiSI7+fdajpMZ+v9pWVqRVJYLXtNXjydJBO8hfhO22pMeGmr+bZz74UDPGawByUyx05ALhUaHEEeZNZQ21MRbyu2ctBSWv8snBxEmyOjR7ONObA8tLfi8WGj1XD3yQAhcbC2oQECJWp6euYAWtI54DYSYKvRHDJhDbnXKF+0tSVrmP18DnaXSYlA022zJslovj5c/cQ/CxprtaxMEoH8ibwsJcS01MG1z4edDJj3GmwdABPlGr5A3nShobafIt4eRSRbuwAeEvdPQuZgR1dvG5d10GV7aG8z48NGm13BuQAhcbS2oQH3tBG+GgKyOwlkihawaYN4rX5Jkjxo87e89LnnNWcjfbTOyJUPGpLdSY+3liHehuFWHdMkGeLGD23UnNJvuotY7l/iaWZLuIVyG9mwc/KLAkxPEFL+JrZy4Kpez7SsHfxaFk4oePDP9tDeBtmHjTa7gnMBQuJobUPreIkbN8dT4St7MsC9vSfgbcVCIxyJfNoKsjUdQAs3aJiazfzcL/WZsd070cWDhqPiQUPfU+AEGYkofMZ2hhXhtfgsWdcrjtnOHN+Ac+ah15ktR2uEJr47iLPaILNNLbuKuDIH2Y/ale1OvfZfQJ3n/n6Ad7hle2hvM+PDRptdwbkAIXG0tqEBV8jnwq22IG+UgtxrFBopGQBsSApY/AV5gpJTbpYa3DrKtvR2VLotI5rruHbPjoRZ5YOG589R3QwxoDRDhsu1Oqh6qzgutXW9iI4bsp36DLZAL6TXcPCbHkYcixZ1aHAjKgJcZyJSYT/P/hZbee5vHW8HH7aH9jYzPmy02RWcCxASR2sbGnCFfH4VLUiEvCsd8lqXC+AXmxBIyZI8sBPeFuVc20k3ukPsY5wsDufDIhnTBwqz1TBJKSIaZjl/0FDsOkW2P+9nDJlY9gdzKT2bquIqAs6ApY2VcFBffAZbjpZsfdNrqA8zf60D8LSRPzDc0s7BOjLIGMbtu0ltD+1tKH3YaLMrOBcgJI7WOjToL5eJaHUO5FcBZEkj5A3RABnxyxwplU9/9xGzNa87tTQbkzkt+jkPyd26UzpKhvvjhmyb5XY/BwDIbDw8F8guFBl+3hjooOeyf5OL59BnsOVoyVaY67y1moCLxeGdQBztMNtpD5Jxf19NASkkk+l3Q1OKzvrQ3uKyDxstZkWnAoTE4VqHBr0nL5wLgkxJgbbjkr/XMIfoke+jNWtdas5Ztpo+1lpzW9tkm2xoTLNJEnLHMCXbZE4WO4fbZoGd3ibJqgi2Vu0bHIAVfadgOz2Hfbze+gy2HC3ZAmy+F0v97AAXSWu+hPhcwcxBV3oA1hRbI7VdkfWhvcWMDxstZkWnAoTE4VqHBlwhT3bBEu2OCXg8BrKMvnj7C3e1I4Xo2UiXpR9EbyDqsKx7OtvoPPKfLrJlcsiyfbKc0T0WksTnRVbkazpfFdHWKlkvijubIuHfy2uj57aOeedXj8GWqyVby2jv4b53oKf8l+R7EYNjNzvMGgDKcyeX7s3aCJONwtaH9hZQPmy0mBWdChASh2sdGnSFfC5cBQ/Z0XgDeFx3u+aOdqeAfiH/nZINfa4rv272qubuJNB6zpLTKZk9D8mGbLNANlrwuDC2m3+KjEZbJNbKDomqX916vyTnk57HYRP3UO8x2AJfjhRbC2SfP0WVPYkDLn/2kHl8sRkU9DN18Fzp08WdSahHpZz1ob3Fvg8bLWZFpwKExOFahwZdIZ/fhROtgHd1QX6SQRo95BVW8jvwwjcQcbbtpc/jVu2zSk5Z9hgPh5NHdkpW2+1qQjZsH63VtLiQLpCtkgmJtRgyF0bi1flJz0E0J2yvibnT5DHYcrRkK4cuTXVHoiXN91RrUYKm9QD33V9K71po+Opvl+tucNaH9hZTPmy0mBWdChASh2sfGvgyJFwFD9mlZLfkXnSnkOmvlby7Cd8vVFiXS3SD9JFDJ0iy7JIkl6yaP3rsZ8NeX0xfOM6QTcjGDy9kPhiJxMYX0uMx2HK0ZMvV3Un/bXLh9QKw9moNwubZxTM5kKUpEHBGMvaH9k84Pmx8WhWeCRASx2sfGnSFvGTXt/meQ+xMM8AEMGTV1gMw5yuHI4wdO33wl5HO2czW+JHNXyujstPOwSy6mlcUGZ3ZIqvkcc3WJ3XfR4+/YMtVUHR2sFnAZ817OHMZeTDyMhHc3ddsJHoq/gVc7RtkGkBNo4a0/aH9E4QPG59WhWcChMTx2ocG//EyES0ZgkxvQzaI2QOWgW/lU2Q34U1PyiZkwy7Oeh/pNjmXa7bOrS817gMTYW07SzfJma7XIuu2QkLWDx8tVuv0yOdgWxQEd8pfsOVol638ax5GdLGdZ3d7y4LbCnYFWPjb7U9HDuQXfkdRi6ftD+2f4HzY+LQqPBMgJI7XPjTIGwmZdfGbOjfyCCifABYKA7ZHhkyRye81zgBgOO09pGSfrRm9lXhIQnkrzn2/GE42ZIutMdmMgtxDJDs/uJjT74Frqybr9KSr3uchLfjmL9hytdPAtzyMCPm5aqHCuYqzx+1TuU1hehm52NgviIkt3GdLWPN9ZNoPthRm7keikQOy1558vom8owrQnwBP/8rvNV79zsgrt5YHefcg2ad9niT+9gTrBPk8rkaj1ZEtziXx3zwYZJ2Qe8uo0fPcjQC7ovSGFGjYX7Dlaq/hsejKBWQhADHIr0ybMDes5m2qNNKVjUQ3V3RV+2a1A6f9of3TkA8bn1aFZwKExPE6gAZYAVVaF+8negJMc0De1g553GS654R0plvp/Ui/a007gXZmPBfFuxF73zcgO68nw8WhtsnDccPe2hj23GAnsa4zGvScZqMdi1Fdm3Wm31uw5ezlMMHdDtOrK8jlU09ze6lpYLvDrQF3T9o9EZ31uktsNxAHQ/uHMR82PoyKTwQIiQN2AG0B3nJT8tDGcs1RdqaQ9Y2QjVQgb2wYy/yCLDPr9MR9Bn21/f1SC3Hcm2yxcN1Oh7Pd50W3f2QtYMM5Vafnthyu+65GI2a8BVtbR2vcboCXrhox5Kfwzeu2D+Q1rIHFqPSKaP8TxootfF2P/Zo11egg2NqtwaDE25FAIinQTULApXErf7xI3jUhy8zA3NgWvKYunrtRQnnbzYfTzcXFFU4JR/TCz20677029Vn0FmyBn4xW9MXVVqmKMEzFp57XEwS2ZCuT/nzWIhjwuJWWXtVCDob2Dwg+bHwYFZ8IEBIH7ADaFf7mGsl+omfALw/ITPBizd3tTifyC4/8yRXAYvxuBG5zbqlkecJu7xTA/bBIx+uTINDquL1JcW3lleMUfO/K3ytnuz9MIE+H9A68FYCvYMvZTMomuO2iWnmWnDzCL9QSTcDswJZsufltHMrEFi6QB7ZKf2IOgi2VS5zwnT15vpauk8rzsXyhD2SK7C7ftEv+Swgyz+avbuuWrrJYK58DuK5rVPj+OC5Ho+XxQYss2UjbUnqyajmZF7jm7Vmt8l958r1yKCFnsnhLELsGzIOvYOskn67WY2ku+eGip9VzKf/ruF1NNOoRd3VzE1V8t0YPqlYpB0P7Bw4fNj6Mik8ECIkDdgFNYRmk7KWDkz0H2pneAC9SvYzkS4qP8puNN+na/5WTFZedvoMz5LGWq2CLPHY4Tpev1fDTToYEwRbYz28VfA+2mJ+3ZbouItjI3PYVbK3kVw895gJ8nbK6I+u1ehmjEiq/wo0MwQq7uYkIeUEcDJ+plIuh/R2TDxvvNiXHAULiiF1Ag29rmuerzomOAuEj/VxKzaHz9Ah4anELmDFfyqdP9jI18skvjtppepqmE3KnY3PYjRf5fpJO6bwWORqN98Ru9SU/TUczSvB2ND60j+cGMK+L53E5HC72dBHfZT4ar0jEu0uGs9mjMswQMiOTVYmPIp4XK8A5ri2FXYK9EU2LGEMMNSo3h/24qC1eOVcy8/ickfupR0JnQQhR+Niky/h2IfAVbDl6V0/+HKrVZZDSkG1z7AIPa8nWhvQnBx/vIWynDy6G9ndjPmy825QcBwiJI3YBDb6taS55HTW5VwKYk1oD7hYs5JFUBphGm685cR2pfPKro6DN0/vB+nwgDk+S6fG0+9tukn8kzpkks9N2QEbr6sv+b3te/93y7d/uNEnsXnxIoPVvuFj+jfN8SqBst+fTmHy/jqbHY8YNM4Sl6xUsgvg0pYgrXHQ6jJf5tzyf4n4YD1TVk2R+2gxIjMxJeAzu+XFQ0vmaH8x28a2V9xRs3V1tfHcJbW9OUIt6E/K/5C+oJVuOnsR8uLk3+VZ3oEMXQ/u7YR823m1KjgOExBG7gKawrSlZwyNZa7oBXNim4ukx6ms2lq+xfsif15OrkU5+ceYdpv/KJ94nKTHyb3tMr8maxFj09/iKnKq+/KPcL+Y5TbM/e8HWg9w6JDNa5CXXy8Ugy//KPTOeAzIJU4QJ3HBeICQg6OcFi1YnRVzhooXKMvfBgwp//WdCI4VJ6XdROXU6X8EWkTqMI9vo1FOwtZf/wNJrRvu1XrmQSu0Av1At4w1qyZajWLN7SaplMuXqXAzt71Z92Hi3KTkOEBJH7ASadGkTt07Su+ylgwsy4Eg+z5F8kfxdHknlV/nyr7v0vuZSjlfijmn2jQY19EPH6vtgTe6mLMj9zwmNps4k+OFfboPler2epHcyZ1Jm01Jmn/thOUoXe4pgOcuH59HpQkzmT2InHZCoi4YJ3DBDyO1xWPcCPkH8wkUKVWXS4YrM93z9h9YdZfBFQp3ORrBF77ACfkuEQ5mnYGteBvnWHV/Kf7hZt2lZIWRjQcsmg1qyJd+iWst7//dmu2E6GdrfzPmw8WZSdhggJA7ZCTSlN5LJprYywLwVJJK6yB83JHMET05MV3qRBWSQu5Fdyu2cvxbBE9FFl5xf/ybEpyVZ/V8M35fBs/pyHaw25LO7FZNFM/OZrdt+QZ46rBbDH/89/rLVckNufeWj6fl2G5CYmIYJ3DBDyJ3m+G4FfIL4hYsUqspk+9nfsFjRxQt+ZVo8LrCc1kio0/kWbBVr4vYkpo3j4yfYyoauCJmUP2biYLsV5WzfetrlydPMpXY13Y6eRMzn/mntdNzJ0P5mzYeNN5OywwAhcchOoCnN30untiDzVpBI6gR4hmg3kV6gpQHZQ7rLAiffUfqkQQ39kAH7Of1HD8g6+XxCH7fc/72+cLmMzjjlQ7Ng67pbDMcrtr0D0UY/zwGJmM7pZE0WctMA6s6DLW74Ldgq8TE4BPELF4ktXmXILc+URJFf/uHB1ouEGp3sZmyTgdsijWUnCD/BlrPBPagpmmYjgB4BHr2GqgLLqTw3BVaqKejmScT8Qn9XhvJxMrS/OefDxptJ2WGAkDhkJ9BuSm1O+kpByLwVJJLay+et8vVMGm1JA7Kr9FYjZ99ROh+Sn94XGspcR9s5ual7GJBnDick1nkMSZhSfSnkbud8Rp5C2A20g63svJkOJ+vTx6zgaLAhEdOAIMkGuzyjdvPl+Jnl3HAx98ZJeMHiiCtcdCKnLPMg9xCfQzZc85LfmPJgq1Y5Lzrbgi0SzC7TzUcdhMiNn2DL2cYPzt646K2uIG8wsw4moJd3Q3bC1vF/4urGtQ4YJ0P7GxAfNt5Myg4DhMQhu4E2VLnmS6e2yFoquj+B+AOJpDZTaSSVL+ULR9ey+fCz7Faj2BXj3Gw2+Degq7Tolg/P8eDfHx3eJovRvwGduau+ZAuS9W+fP0aDfxO924h3uhZ+vm1/Bc+KxnjjP+rPbpD8bf9IsHUf/w1u3HAz2OL4KsQVLhpslWVu/wbJQB4RG3PYt4Iq2KpIyGt0ftxGZHAf62EMG2/5CbZUVo4q1TZ90Dfuz8LROyNFrDxSUa7XPMi2izqAvG/JLwTpZmhvmvRho2lRehQgJI7ZDTS1pamyVVtkWTdgvdUOMm8FiLbI03myz1I22B8AdyxlRozyn7cHDU+m5C+5h3crYkwyfN+LtU7VFyJC5ciHZRRfwX+yy26ejpbFWnh5oYyB4ILcMD9mKYdRIn7DVZZ53FRC+aaBKI84KxDwz026YlUKke5JxkuwpTa9rsKEsykzFRAmsielOw8mlmplD+QHUxifbERmxx18spF8TsCB2S6Vbob2pjUfNpoWpUcBQuKY3UBTeBc1ASKf2spPgLmiLV0JLvmsPUVbkMhPAtU4+zRaN3QUcyX0TPWlka10cDusJsPZ5vPOoZIWFHbAAA23ipjagW5LKr0EW1tnszcKb8iwRJhdNU/AjQK7Fqm2cB7hlL/jVs/7UN5AXaJ3M7Q3qfFho2lRehQgJI7ZDTTFVQ3yqa38CNgNGqMtXqskfS7Hb7+zZnz0qb7UxOFfH6fNbDiGTmjJ9T5m7BP8fIzclUAksm26DDrc8hJsTd6av73KcfaUoz2IQk193ETMc2d3dYW+tmSeR/LFJC3FpKcewXjIoLoZ2ps0+LDRtCg9ChASx+wImtr1CDC1lR8A0dYGNLcln/+S3iYkm4PK7iT2PLe1T3loxWvaQnoncVaazrdnm1er7MQ+NnVa8DVqFWRb+ZDDLR/BlrslQu7uT/ppc73cRMyDYe05Ig/suPgsHVxxTXA6GtobkHzYaBiUHwQIiYN2BG2m1qAlb0gswB5H8t1tdoC1UpuxfA5lJY/a1jKRHcAOrwXb6Wk8k5OlZPR2XM+G9MahnDwlvSjshoGgZ7d8BFvulggdg1l8pNV0+rmJmKutLNHyDFZouYbJqUpdHU2YqeKo5B0N7ZV++sWHjYZB+UGAkDhoR9C27HrKrchS0BulToClBgdARLYHzJHt5DJSEchcnIwYrfzTdKIW64qt3A7r6XA4XR+DvjUl9uEHcwMOt3wEW3O6vZyTT0j7RWk4OFe7NGtYaC0yc7MovdWW6KSzeb2pswYnckeQ52hob1j0YaNhUH4QICQO2hE01Ve1riFTsGdAtAWJyMi7Arn7nelBLiNVA8HSCUA347kb2XtTHl0Hn4zmmxPGWbr10WM5Em6F+WSih2DL3fbxeVCv+FNuXoeJchEbBRzWhxI8Z/N6h6kSDg/Cjob2BnIfNhoG5QcBQuKgHUFT3WT5CVpceAHszX5J5RvLnUEy0hegnVOJyDn1/GvneZgPV1ZuIN5O28U4mSz3F/kSN96WMA2NARJuhbjvlodgy9n28eRVCzGvLrwDHut20YrPsr0JXRht0elqXi8DbE7UAsflKUdDewOyDxsNg/KDACFx0K6gqf7826w4IlF6G+1F2UXebSSfJ7+N5DNp98lCFmcQEfGF9z5ZigWk3igI3Haz4fJoau9xOazn42S82J6sRG0KDqCofQbIRhBrWTO2b1Wi0UOwtZRfKCQgu7KDWendBVB4fuqMF6HZPJB7r87m9dag8UvMkeVcV0N7HaYPG3V7gO8BQuKoXUHbyCMeDqFIgb8MHvRFe5LPczaTruJ+zubyIWiTbmWhy3okntzKVmMvaxWuuzl5YY6JqefttCNR1jCdrXZ411DSxGLKfq7lzdizPx6CLdBMuZbb7lbea8FRK7Tra4IpjHf1PFzN691T+XCiVlPm0q6G9joyHzbq9gDfA4TEUbuCdlG9hb2fc0jCNJvNZQEQeTcM4PbdFnAr8bFMd5JOdJtL3ml6nhg+GPh8PB6Xy+V8JH9qnys5XTBRrF9vezOhkMcy83G7HHfrxXSUpJPFZn++y8mFqEWZkBh4rNJ9SHhy98GW8uUHzk/M+8df3cWgYgLvI3G+p1xn83oz8W9uT+41zbga2utWfNio2wN8DxASR+0KmvqCyDHwCbrVRDpvld+mU+k9sOt4KQmkCEf3dbqUrKa/TMd7YYhyGC0kKnhlVOnzdj5sV8vZdDRM0tFoTLb9nC/LzT/LZDoakUz6GY4m09lyudxst7vj8XgmERmNxMin0ke+sDM3knk87rab5XI2IeVHk9lyszteG6L1Yvj9Gxi4L0aeVw8KWXMfbK12QgAmme42SzVBBSqbSX4YgpRoCe1XWsUsF3I2r3fs56kDMT2uhva6VR826vYA3wOExFE7g6b8qO8J2mB3kF3pDvIHsbIN5Ad/tp+MNuJg6bZKVyKJbD+eAMe6+3m/mo3JNNN8tT0cSdDUGsY9r8ftcjIczdeH6/1BZqdoBEVCKBpDLeckGqORGPkUsRj/M6RnJiSThmUkKrvc2pXzloHpNzFwnfm5nw3izH2w5ep2EXEv4vXxy95Cnpn8qSVQyzESurma1wOugTECr17Y2dBeg+LDRs0c5GuAkDhsZ9DUX00223NQkvQCWAKfQx7Eus9AG1Ldt5PRWrhr+nM/Ha1F8dZlkQrzyRzaaUMe/xuT+OnSeS+PTHjtN4vJMJ0ut8fmi50llGH2zzNwngTzTj/nwZbi68JU2oZD1SowdGSP49afbjqqFMuo3+dQNAASHwN/8YKU1YUCXB1P4Dkb2muu+7BRMwf5GiAkDtsZNPWLEnyR4XMuXwJP3g64SZeym4lkq3VRjMRZyu/7+XC2FYk+dpPR6tR9NXvsOuOxO92dfbTYdTz+lz0up/12WUx4LdZEqttIhRe/IAMfDBxH8zD2S3MebKk+nvNBVfeJMG6IdePrznn0tztBEBs/rJfd3Bjl3NIgr8jOhvYaWUIbGVu6Qv7Sey/8cyI3YRqf/dbw09B2TNjhidsr01sFhn6pueDxq5AtIxzq0+2w7R8KUDvAjlt5Tu/fHSQd4TiGvlroQl7APF0L3lfzOCzS6ebSabCIx47NhWK3/SIlcdZHIbpyvVi2NRoOR7PFenu8hDFQGrUJLNwvA/t02dN1puG382AL8B6JBiCFg2WAS6Fh8J2tDpebD+GhAlfvn85z6BoROU9WJVwM7TRQKSInGtEctttkS5YW00+xkrhcvcKXrxQLV+jilWL1SrnWeLYo5Gt/VoaxFl07U/sk7DtdTVP/TAog5R++tKZIXzBHo1eJF0yyFrr8HKqwji6MLj6UEPppjuod9eiiRpipufJt+mwkmjpqOnAdrTqDmrrkZTFcSIAcwCuq8pzERqNUtKP6dTsjezB0vtnmcVimEx6P0Y2xiCwb/p6kEZ/IuqtyWTxdub7eHk4XXFhVr078bsYAubm+AfUbMzOS0q6DLZdbYU1kk+US33vL3sAe93aCT/7yMydm60qdvX863/e1nUbdvZbv2kM7ef79eiGDEV0FvCahC4lA+ONYVeREI5p1EWyxCKSIPPjsUQsYf6dU3X7Nvz0e9zKEIslrAo6wUH5YXEldr0K5MY/hePxGnmdjHx63zak8/WxoaEo/PGSrJt/IuuviA4rYWpnUePMoeI08MZitR5IgqkSVHaR7fZ7n6Rb+iz+77Jfj4WS5O3fMNd0Oy3E6Wx87Lss3sifWeD6fki2tlpv1cjGb0aXsKQmvFktaE13L4ltZxpPIgBIDz5XsvQdK6rSEXQdb6utFwW6ovhoDrNi14Hmkfyk3xXYbmWowL7+Qb2OtZ8TZ3l16cF6lYFEH3VfoeCS38pZsJCJPuJNgYUqfo6LPt+9JZEBCDxpGtf1Ig9l4YfLwrW9IZeBU7NdUxG5nHlzxYIsGsMWHx2M8Ykt5xMYDNvo8W/HhJUh8yz60XooPm2M7jC48YgMHMkovU7hO5kDFz+NiOBWuuCJbPMzUNl+/0QXtJGhak82pWppQdiGvuxmOZ6vtjoT+r58IhFfSnNmeDaPJYr0/nuhGDS0a8BQy4ISBG+yxECe2mVLXwdYYPkOu6qXDDbxUoSjJP+TvelXSpySs8btbST9A2NnW8fnc3S4jAL8EIu1Rx5PMWpEbgPRH/mRERne6r1D5fPqZjkRtIVW3kXYb3fIecgKExL0GQ+MBW7XWjYdW1fq2KmAr59iSKY/Y+E1cErjxmK3YO4pFbdU8G5mYHH6GbtTOa3aPfuNQ7pt0Q+M5UPsg9/fS2fZjbRTnIc9P8+GyZYF7fZax8p3PMe7Xy/l0nCbDdDyZTsnPAdKAyaeIpeiXyXiUktzRdL7cHEhYRbGfNuPRmu4pRmfIJsPJan/BWOtVDfjNPQOncb8r5R0HWy530Ny5miBxXOvTPkMC1Xe32efC3SshVe7G2PdLpLEa2rPH9XzcbchQRaKrlMxaLVdkxupMpquMJzsrGyIgfvMChMQJcAht0fakLQ+UardHq2k2MgM0H/F5sip0ozNoLCor//JleCysIfdI+eTbW1rdPaWCxSelUdBw+JlRz3/TUl8+V83q8dVzZWh43G9W9IcCDavI84KHt+iJbJ61npNtsWbL7WaRTraN24tkA3jykpzJkryKEBQ08orDFBnQZ2DX69Itx8GWw7uIuWwBqH6VOC3Z54Kt/Dl06htEubOHA1TWGUOA2pN5JHRjbPJyELJ1Nf2xvzuer+bR1Rs+h+HDmyXwYYCQOHaH0LReIjZT/AV2m3XuilzFdY0vl8NqRldLkcf7GufZwV16w5ET15pm98txuyK/IJJ0TBe4k8mse/XrgdzMTIfjMflH1mrtydOFteCKvJhwOU2H5JU5B3xlTiu1eNIqA70u3XIcbDm8i5i72hfTauV+KDv1uGArz4+LD0CeT7iLNVdrz67IzD2vpz17/1pCBrn9qWNfbJkaYL7D8AGI4EMsQEgco0Noj5QbUUjVlxtepuqP3j7oXNOIbiG6IzHXG7zLZjKc7+iyD/pQBt2bnX7It/u75FvB+iENu/bkh8VsTAIv8kTpcjUfpYvDnd7zJFlkUndGbj8WPzloSMZWbWVk01I6BzYsNpCvxWl1zfgdGbDBQI9Lt9wGWy6XYz8CWOqtXvn3/nbYomBbb3Goe6Ff4uIs1ryMar+Y9QFaKJmR3+vs5SN0L0b6/jWHQ3uF14eNyhjsS4CQOHCX0LTe9K6xkpE+TFjNH3HHIOn9tCdBD30JM5tmvdBp1geZnFrPinVXKXu7DX9ygMRNdM8rOvkE0V7JPB+XHVmctSAPjI6JXvrcIVmnRp70OJD/dts1C8nIKw7J44gbcjf9RG6skj0g5uS+5IgiI7NgN4U4r7L7vV8ac5I0IhZ/ql1R6mL3+7X88LMsqqZ/yQ4y1ef1vC9/JISk5BHS14ffVH7l88L0XZXkUxigmEO5MrOWcRov1BqyrQblNthyeRfxtLDFgUc92aTfvcGGWhdnewRlo7M9ZQ1NGeTNcY0SDg5qd0Uad0tcDu3cDR82uC1gGiAkjtwltLXiLUGGSecZXfq+aIMORV6Dc9yRKSW2sp1GQ9P5arXkL8YpX+tM4x26m3vxA4Lu/FBcQ2rjfm3UZ4Ms/UsfRCT7w89fW6Nt1mT8Xixmi9l0Oi5W0NPnBsaz6Ww+m5L/6VmyrJ4EdiPyfU7+0XX2ZHOI8ZQEYzsyD2ZhZSOvf48p2b6FfXhwUy3W47HJa3u6KpKpnrEo64atqGusuiOP0xCOKE3sMy4+fBleWnyG7PO2Hu/tkMpQ6dGYPO5AEMwXNIza7OjzpO+fao+U+o4sldCbQ4U31BP6bC/BTl8sXmxTQ59FLWc1PVbEy1RPS7fcBltav/FenAi/6V3ShCrdZy6X7m0ILPS+ffxiLUBnlNXze3ruJ/LIezImP/8/bs8Qt1wO7Zw1Hza4LWAaICSO3CU0vV6mt/tctp+lK/qMn/qHvNa5euEg2UOUbpBxohuP0L1xSQBGB0gyBpOh8m1sZofloE4TOkCXn9ckx5rsyTWtnrHkozBNmUz53uhiGE7JKD8hkQOJHmZkEoxZHKYsBiCBANsxooJRLPUfj0mQRqKC9WZH9954BQHVvhtFhAOeU6k/fVkGR7UgsrqrSuOK2vxPNf3zmvKpwiSOt2KKk1Q9hlqxwqKVQ+HJcU8/h8OOfrbrNYlWy2CMlWfqmHIWfJXPLzBeWXBbbkdSTm2VlLQ3EeZ4EQgSGLT+yTMaxB3yPAYxQmuXzTuS6MjolzqJOeneeQV9xAKtaLKElT4jRDaxJXOYRsrbXes++1wCd6vrVqGR4zTYcrmjaR7M6yUVWN9PwJ1fQStctO/t4zXulQCdu/Z3E5E8VzUdkjCrazNH4oHLoZ0T5MMGtwVMA4TEkbuEpvn6Ud33Kjz203R5ULgxQm9z02Xp5LXOwkcBsyt5YrBY4UX21KpfuO6H5Shdvr2AhzNbpNl+NG17KLMhxA/oIHw8kpCCDPD01uZqe7w+czohVOxsyyaC6H626zWZGCPbTNBpsfQ9BOOxjXbKJoFqf8t5JDZjRLe44B8S5JWf5ar8bMiniJKqP0XQREOzImra7WjURD58FotFTuXLFBhmFkax0KkMyIoixQ57RBObGWORIOfOdUo3VaYhONnrY0bibzI5taTr/RrNwQBDufsNeX3ApFjJR6remm4xrMsYuludWI9KrtNgy+F7EfO8/+fqVHguZK99r+nv2b67XR+yscHdFOV6rApkJ/LeuMlyf60PRVXu64vLoZ1b8WGD2wKmAULiyJ1Cm+k1xrX2wojHcTkaLfcXyewAWZa1W7GH/2g4A/wUOziMy9XrZ76KirwQkWyY2tjNodJ3Ww2lr8KuhN++kFubhy17QnF37lyxRSOOVyR22KyLW5Q0GKKhEY1aaDhG58bIh4df7Ki4Xfa640bm1GQfFm3Re5zND9NX/OUm6mmZ8ZKqMoubdgTHpNikjN20I2FVsdKJRFRk22Jw5byx5/rweScvBydRMXmYYTxfWX45+KOo+tl4mJKfAUfnO4Jshyz4cc3ZS7/TYMvlq2Gu05cTkXx7OFuwBCTgOgEKOhJztutD7uzN1t1MZKc1fXpLsF3kq6zTob0048PGyyPQtwAhcdxOoenuHGzUPx50gjUlW7e/LSuncxNkZdaCTh2QvRcOsoiMM/SekkcG6f4lZAk92d5hQd6iSeZsFqPR5mNK7Twb6a3bryzSSa3rYbuY0iGdvjyB3q2jU0E0jKp2TqUrgOiK+yXZq4592N24z79s/1kyGUVuVRb3R1OyGeuc3R37lO4487pRyWaYLnTfYf6R/NiqPGNfylJFtHh5TdwVk17EJ7qhGgnMiveY0iVOJAgL71VG2f18KO5Cz9bS35pv7ksPyQ3uLdn3liz4E7z+XKpFKnCfjfVuwEs1dwi4DLacju26F7QOHnyc7nU3U+qg05lGOYPudn3w/iTibTclgVb77/oWIpwO7aU9HzZaXBOdChASh+sUmu7yCfN3SzzptBDdZrRYkFwEJsWymA3ZeMTebAnZmZesWyrW3RRrrtjC5yLm2a9Go9WBhyP8DZ1FdFHtQ8+iGb7yiS01orcHi11b6fQPvX9X3E2ji8fG5M7iiizVpjrB++bzau5IiwCU7lBB7luSlweRCPQjZOwo6fF0MXd3oivECNPFJshFkHs4+13eJPH4edmvpnR2H3wxlCh8Zd/PJJovdyN5nbX57Zgu7fUKOTCXwdZK66kcOeZCIr4tTVfadwmAlEjFXD6vIDWeu9v1wd0zjq1e3TYj9uKR1ty2k06H9tKgDxttvgnOBQiJo3ULTfd2vc23ptLpIbUJF86NYnpeDmc7ui3XfruZ0/3i2SwUnXeqFouT6Il8qpX05aYBbEaqWMxdzBvRmKzF+H0/JxbaclqElU89rvQ5y1FCn7N0ZUMZVGsBeg+PTC7OJ2R/WPJuSt0pylbdhidvx9V4uDg4iFye5w35Xbt3VDNkj1Pw0kJDikhxl8GW7iUH5JVT5SAEikKHnhfH57nLXc/kZOg9bSXXSyRWK5CYFaFsPxltVH/FuR3amV8+bCgyGCAk7oFbaEvdDV7cTf5yx12k2WEy3pMl7dt0odozoHDOq3R2cBo73o6beZoudrL1l1DELuXIPbz9epamc9FLL10CaNP9PC6HUyd1lJ1WqRvNeX4dzxwFcp8cOQy2zi5XVbl86eInSxbOXNLeZ6pd7nomZ2ju7FWWuo9xyTF/SNzJ0l+N+/xuh3aG0oeNDz7EJwKExAG7hXaaczuq6YxdkFWL9S5/XQ4nw7XTYeu8GK5cxXKcv8eJLHybFdvo81MBp8/zlqA9OGVdzX1aR27GOXead+lezUltaYfBlvbPO4gz/b93BoLyJfNINcboV3Er3yb0VRx9ffbOQm+HU2ZvZF0Xmlt2ux3aGUofNt74kB0GCIlDdgst035U+tnH/j+cFIP0uRlO0pXjYf+5G81OBiBhRbMzefJlEVIII8KdnZbv7/gWiTvPo9ObbsYZZxOn9+nUTYD4Tra7YCtzult53ztGvfMoOc4me4mE++xeJwNv7m776my9rcP2bT7SrUS3QztzxocNRdoChMQ9cAxtqv3T6tb/DDjnSCHdDckbUMjmWkvXo9ZpOvaxyIbcEhuNN9qVqMCcDdHrZqy+tMGG4XYd+9HczQwkaWBuXrSz9zO55S7YOmpPpbdXYfNsv2u9m1gAR3OPq4q64PT5/Gbm7hJ5nHQ5bPX8faEdauGmplZrwooyx8GWQV87jp0uTbLC3puS02hWjq5kNHQzzr4sXmZj3RVxLyWQbzdyj255jKQyyEM7463rSBfCWiGzT90ERXm+S1cOVuHn96mPlVvugi2nE75P7Xl6cIOxKbiZ2dSmqWvS4w+1pbNg8+Hlzd7ZJjV5tNbx0F40CB82FFtegJC4B46h6W7+QOEFcbHgPAHSx7x+Zdm7GQ3rOK6zsfubiYXBx4E8B+niGbu6O7a+XzfOVpErQ8ycvX3Q8Erc6YmPyS1nwdYj7fTLQobe68csGNZScRi7iMYVobitEDEYh7/WZyZBkBj1K/doOII4HtoLoD5svBgBfQsQEsftGprJfs4LZ79MuPc20/3bz5Bs7f6ezGVaj+9sevOhi6yJGs5c7TzwYc3wBFlFrvP8jqHV1uLu3j54n49dLArzMLnlLNjaOb1i9Lw9Z2vz6jwZwIOIBJvbCul0nmbc3c0+7TzMGZKf7oa92/XQTkn2YYPaUfgECImjdw3NZE1pNvHxA4IzYZaSIerj5hUZDfXeV6QA5TSef9hVKK4mSnYSm5KtLWL40F04dmFAvU4Wjh6YOI3WLu7ublPHE6bOgi23Pz30F6D67zH3AB5EJF73SJm7pwN8vG3y8PbTXaMFuR7aKSQfNhRdDxAS98A1NKOp90c0jyRu09b1U2cPoZCzG1W8iTRSunNrJOu3rmR7GsMfhw3X9Q86Woe+Ql4yW41crIm5jpcugjiO2tmmpo430Bw6JaVix8aXp6f1nBKsPd5F1H/BrsSnPHO/eCNbWHgu2PXQTnnyYUNWH2/5AULiCF1Dy4yuULc0jNGSs9WRPqbzrkmUfcp+xneUtHHa3Y2qVnTZaTGM5LUl2X488fHMZitP9ZO3yaKrgdTFNL6fRy7aFwniXHY8VzNbaxdcVJVymVZfg/8ydbaZp5Lr/d1FdLjnqLt195zbq5VO7Xpop2h92OCsANMAIXHkzqHNjW5JhLHygJPVkZ5Ei7PIvXfXzyWSF4C5ulHV7nF2mKVr516121Y8e55rbgmoaEcmvnYyBUWsPmdTFzcpzy5/JLgKttxtq0SrdxdGACNraTR/sYRIuZfp7S6i+dt1O8lxuO6+tLmz80vH+dBO4Pqw0VkT7RkBQuJAnUM7mPX748jFUMK9t5KuR+K44+hy3GIeZOth621MK/61KnlsR5M4lm+Rl1243dG/lZ+Pk5eRqwWIOydx3HPmbhMIR8HWye265ZnzBZgfjUbzRCjPcfd3F9Hd44IO192z2n7OOm+TqDUH50M7gePDhprXIULiHjhny7TD7Xp/lSqnqj29TxaypRw+Jreu47nvqPSyHC6iGH+em3Qpjofbq9bu2cdU2lA0DV5EM6uaOkmxXeqqdh0FWwu3PziMFkToV4N6ySA2faCwe7uLuHUXdk/36hWiUuJu5RYiteh8aPdkQ4W9MCFxD9zXiOkTQuupLJjhvvSRXtpXxr9BsfBsyZvGz0Pnz5B9miSP/I12vmO8TxjyM2S7q7nLRUhyBFRiPXbE1WOyhiFQk7qOnKjNNRfI71qHuW0VYT1F0dBLTMiBQOzqZ9NwITxQ5ll4M2DjcRFj/dIvs1sx317N3HOZmkLuMlrDvLwej/VfYZ3KXxnu1t0zD1dDGHLOB0tbOUsqSpvC70cmYu7Dh3e00mN9SK9alhrRE+iAJrNbVVBrNVdQqBrAa9/F1lb8Z4p616iAOPqyXQJX8D9ms9cK6XbOKkrFWLvFbuPVKyztFhOrV829rdKeprfEjebDj8PIUrgls1sx/1nN+9oNZ5ma0gGY2HM6OSiOGh8EtZzIFhPt8LCioUWv3szWfNGiKn+9k2a/XDLFbWJT2GqGl7YPJQYvw/jQpXtC4GCl8ireX2qyqiRdf2m8F1Fmt2K+vZo5VpmanFBEXhItFSv0Lf7SdMBHF3Kms1SVwdfdiytCnMtdKdOG8CGpwXkTFBy2cpZUlJKSDStNTSZdoyN8aBrwclQ5qA+pqmVXgDugyexW9dhazRVYqka4iTyjSGJtwa6y6l2D46gqgp9opOLchuh7ox0NwYPR5rXqsZ2zilJiUQBJ0DWy5aTac6uu7c0Fy4fZYTpS3tFK4CAUnqTRfKqxFG7J7FbMt1Tz+XVnTqambANSscLPxd8wURs1OD3iiljOFbbcaqoStFPNma0WPrkXRTq5CGwKshpKug/MnvTp1quSA/Di/mpirZphDaq1qOrJ7bpWAmxXXM1SNYSi2bY7bKohynN68b4O9tW5TuU8o1p3L64IcW5ljn2pC2/GE9iPgjcdrZw1hva6lbfCgqw3yc/Dho3PbI9nKi/0IfFadoa6AxrYbms1V2gLNaJN5BlFMmvzogUqd40KRlUR1Zn6F3FuXZJ8rwtn8yELA99k2g/P1TZ1Ys5o6bqVN22CrDw/gm5qvmk0P7wuh6v6xIpco9ALeXEqIWs0LVpIuKUGs0UH3G5bNV9H/K6XFD6jSCpWQCRdYz1WGTUqx8QVMV3eRuBn8JqqmkeVveKLdGbrNB3NyG3fzWE/Hu9pke1ofKB8bg67ETuzn6TFdr7bfSl2He+SYW1V/4o+Bk1nF0mZ8eINTnEuz0s7TD+VJdryvFT9sk4R5MM1R3OZj8b0zZRUCdlziTwqUixuq5QV4o0/vMSVuPCckSZwXOc3ouX1EHF1xLWcpind07kBtOkgV0q8KESLdDs6cq+4Sp4yRLRBPRfkjkNp6FRcW/e8lrnSbqQ5F2nYpU9/lBq5vdswrTkoscuY59X8Iq9UVlXmZMUbAJMh/BQNgoMiFI3JL+DJirecl6raNw6Rnkq46/SSUiqvzJU+cvDTJWuYzYp4KWZ6WS5HRHlh9VPKsUOeXRdeTZ9FO63aNmn17/PjJcmvxsk540xU7TepugbpB466RsJ8qtBwr3rsGhQSh1FRz6vgvYk2+iCvZd6QrXeNhLc7njL2JHaVukbtyRDeIDgZZRuQdY1ZMuSXJZWuwUlrtrSyyZPEsGs8JyulrrGju3F1dg1KKW+zTcBVz6ctWDJq3NMh65+CUaMyU7VJ864x346mbLFB1Y7Kds3bewGeX5CbDvLWwEVraTHmcpU8BTVRrrQ5agyT1wRj5X7NHh+19O1KusYyJdd2egGtLuxle9TsGq+rxS553SCqlFdtp/TxvV83K6K1a8wmZWyhMGoQRaKuIQu29n/b8/rvlk+S+WkzIJHM9m93miQkUpkks9N2QKKV3d/2NP1HIh5ih4nNd1fSBl8b7hbPAM+KMtPjqYDz8m+SkHM5t5Ov/+1PU6qfinHVlfWi2G1cHW+359N4TMHMT6vBYnFa/hEglbKXleobL/EY3PPjgBSdrvJ/y/NpXc1E8yOuZT9Ynw+kQhtAmw5ypVyUpvSdYVwFV8lThoa0gPuQeMmlHgO6mPEff1SWK+1GmnORul0KlWvk9v4N6w5K7BbMV9VcEcdZqlVm2QBKEd4gOKjraDzcZ2WTKGLgl67XNw6RxJ070s74hyvLK3OljyX49eSPNcxmRfDihMaiTlkuR5Rznkqx8pBn14SHs6zRAKtW+TJQkfxqjJ1dI6m6xjlvAq7cK1qXSdcog60Xmv67BoXEyeXUV2lZf7z+ecoIljRRrlS/ayTcHk9BdpW6xt+oaiy8NXPcZRuo6qoSbHz5tzyN2Q0ypa5RNcxmS3upZi7XWju5CsK7xni8U+0am9Gqs2tQXZyHJmC1rjEdFaNS96jBBgk2htnsGudZcTeRtyN+6eXtXHHUaL16N4Ynva5xnL5e78pbIYdYpSZdUtY1NtN1zkIA2ahRRA68SbxabeMbZ5uOGv9e20zxftY1aih1jdlwV8QWCl2DYKw3wPdRQxZsFUP/Yp5P6JWD3lihJ7I/GjgNyZlVSs5QHcmaBVuFWPIobJLT7PPqNkS8mUX00HMsxCB28j8S/Wb/ymCLq66sF/r2q8bxc0BiQWo3oReNfyT846AL6ZY/tEQ+3OXLxSDL/073waMmVB1xLf/K+ZYm0LdxkdQ6UcpFSZqRxsWBcJU8La1NVpfCQW4onxK3j39ZDYwQKZN7s1ucLDVye/e/dU0n+XEhtktdoxqKaq4KcmWvyuQNoBSpGgQ5LnBPhvSdCo26qrTxL1xrfhsM/thvxCKrUlaZK7ll4E+jF2kE7eeH662qqUDE66eUrx0W2ZXw4h9pIAUNZduuWmXNEkdQOVhxVoHn7bcItngPqqxQXZV7RetqZCl2DR5scTNUO/Wqx65RQnrvGhRZ310jKfs8bycFJsK4za5BLoNcba2r1Fpa1XK4XCOl0IqriFrXqKj9uNKW2rnLVWNT6hpX2mlUu8bxH+mkslGDiFSQKFTFrnFIxaPG25XIYte4rYarMx9D+FWBX1vURo2iikoVvJ54WlafrIkSsaJC38e3bJNuX0MLFeEQq5T+zF/MuT2eAu0WbUIwapCmXARbta5ANVfXSvK9wM3agLxrFLCKrnGoHkOrlFVtp/TtkzTAqEG2ligQcX4Ki6R7ve6/1ADX4fPL/vuoIQm2boPler0mDaZYwLKc5XcyIUQYIlEB/ZefB9mdRi75guzpTmgqxKYkfOroNtTFRhbRQ89Vdm6Ffhp1ELFKNbdOJMlncaqOnwRbOjgxJWMyp0O7aKWskH77w0vkxJnheXS6kHgrJZ3lJVYecS23wj+S3QTa8KJUykVpStdbcBWVgaahyagILyqp/EQCrYLWAowcad5ilxatNHJ7SVJ3UGKXMc+ruYBS/CmVVe2YNwAuwY8r3MPiodGqrrhcM+UQ88dtTWdOyw9XVl1yObcF+Ht65A3zvTlxBaXeopo4Iq6jlOGHPJupIkdk1eWp0QBfrZKrr5HMHRR0jSLYou2cNLom4Bebpl2DB1vcDPeqgNdP16CQShic61daXlh4/fOUESxpoty37k4ss5twezwF2VXrGvRaW6otr5UVbnb14C2Hi72lFNqT/mZT6Rq1htlsaS/lpctaXSNN/rS6Bl24Rfs079fVpZ2CrHhgtJRIVbvGJSHXG6KhUl2pLRVWx7waihM2usZzm5aXWH7p5e1ccdSgSLkK66PGY0kWtpCPky4p7xrZdFRrABQI/fAGweukbLRVXTGp979Vry26xp7vLcGVtY8aNWpLK+9qOeVl1xgndCCoqpJJ88Mm4PoRb4Afo4Yk2LoOVhvy2ZGffMTUckosP8iXIkSlV/XL4MlULllDL8RSMsPU0W2olkYWYZueq+y8ABKxSjW3TiTJJyWrBkhC0OSj6fl2GxyZkvGaZm5fysjhx4eXyI//Hn/ZarkhYLP97G9Y3UYsjzikaxH+ET1NoA0vSqVclKRLMkn3AsIN8JShmoz/6G8Jboh8He7uxa3EIl+OlLtfs1uUrDSW9i6ThoMSu7SCXtVcKCz+lMqa10DSALhE0T/IMce9o7dIS9poXbV/6pRMX1JcWdVtuI8UfDY5VC6+NydupdRbVBNHxHWUMvyQZzNVo+l0SpsUo4G2iuXk1Sq5+lq18cb44oyDr9pvEWzxNttoOS82TbsGD7a4Ge5VAa+frkEhlTA416+0vLDw+ucpI1jSRLlv3Z1YZjfh9ngKsqvWNf5IZF2qLa+VFW7WBnjL4WJvaQHtRpY5kA+0axBRl12DrI3Q6xpX0ifEowa9RJh1jclwVe+01ZjFaa3o5tVgs2vs0+E/MoZw8nk7Vxs1CqRcRTUsKTVR7ltr17hOJ1dHXRLQNbIhGWv5tbGqFP2uUY7YpGvsxmwUqpTzyyqvho/rSaOlcSxVJFDkEiav8397UqVVaEAF+WFFNBcuApF6A/wYNSTB1pN2LfrhDTWjv/lz+jTKhM5b7P9ydmZMzhCrVOw+fO82xaW+CGu7RpTKTlYYLNdsVaq5dYqEPlPNj+maDfJL5i3YqpQV4s0/VQkyZ0kCxHNa7ouWpcU1rRSmR1wLT5nR6qheW1wpz3wOZsWOhPyYauUGeEpOkbnNP8J/TWo7WtG7QMWHK6UCHUi5CNfwnlI91N6Kzu6+HBTbLerxVc0MTPmXKnlVZtkAuETZIDioS8oo4nXFxT7TCtqUamQf3roqc9w3Cp70KX74doHmxYuU6qUYOKJaoSK/1FFll8ILOn/Lgi3eAF+t8mWgQsAdfHHGwfPieXew9WLTtGu8BVuVVwU8HmxVoF9+VN+qEt0NjshSUrkWnnZ1DQKJK+Wi7ym1zuufp+SUuIlypQZdg7LF7fFUale1awzZEFBdK1+4FbpGVkRb0K7RuJ7Ur1HEudqHuqzRNc4pWXOh1zXIC92Fo0bx27kBWL1rzOczoqHqdbxjcr/5cVUNdrvGeZpMs4/2XdjgZwvOORwOg2e+p1SON02eklNmXeM4WhYxAKnGd3v8WMsurGuQVfL82kit0M/bqMGv57yumFDb34oS2jW27H0LlXLedrhPH6Q1WlpDfbNr/A0vXEcpVR7y2mOAG0e8AX6MGpJgK58PyU3C25ldTumPj9nome8GNNgive5Bfkvkc7JA7UAnZIgDlKP1hIgtx8+s8mFFrjr7okzXiFLZyRfDy2NJ14RROrjqBvX7VYUmG+zyjAIpBPiI8lJWIai+VCVIgD8gK6sGg0v+IHevnkPGBBke+BF3vUgvtJVTLfxs3cFKKRcdJ4QOUqQU5ip5WqIhCq//1pUUOfscvG49VEo7kRL0pfvcbiO9nbk9ujvny0HqiMAuY76q5hLri5dXZfIGwN1hxyWow+jCKCpo65zZ4hB3d/JDjrjDP1XrqsyVvhF1mwZp9YrgpV9oaW5FE6sPUi/lh6l8ZRfCf6OsaFKNBli1Sl6UpEVpWNdoBFsNwJV7BU1vl4DiXGVH0jXegq3Kq0JJP12DQKpgNJpm/10jKXs5b39lvRKyLHYN+qRx8Slbc0VGeXksqkbaNbbT5RPaNZrgGy2thGLSNQbDo0HXmP2bC0aNIthqANbpGmsa0LWOGsR9TndVDda7xjjd8asCb++FjaoP1x2sYHDRRvq6eis10Upp16iRbVNyP6WoxoY9wy4JGzXm4311YS/bo1HXeI0a62IWuVJetZ3SR1ILml1jm+45TyVidvgimtbp66getryPGrJgK1sM/v2RuTTeUPPHaPBvUkwIL0b/BjSgfI6JCNVTBlspXb91H//xtU5EIh38zYoyncEWt5Nn879/qxmRo6i56so69ZfsslUd7wbJ35asfCpOVCNKpaykp57wEmRxPw0Qx38klvw3IFujEU+KT3XEtWSzwb8BcamwkfOzDQe50lJ0Py6LlMJcJU9LS1Th7d+qUklOz2vL47nSTqTkac3SfQ6xSlmtlfbIs6J1BwtHBHYL5qtqLrG+WHpVJm8A3J3ymIGabMs2UNVVpan+hVMyHgwGtZWH5FY+b1287ZS+TVbX9FQnrVERlWqut8jlNOWcn1KsPKyyqfAuLTltNMCqVVYGSBwB7xqNYKsB+MWmadd4C7aqttFj16CQOLmc+iptNNG3PihrolypftdI/rEuwdtJWa+SLqnYNY4kuig+vDVXuFkbgHaNf/+AXePtetJoaSWUV0cucitEvF5KsbaucUn/2NVWs2uMyW02zkR1aae6Kh4agLW6xojYaB01iF+VGe50ccLqqHFfpnQ0JAMm57OwUV0rGg5yGFy0St12jcf4H6vGyp6N0QrWNR6jEb+wlw2NNwhOhu6oUeypypW9Io7SR1oLjSGvURHCrvGYLEt+BF3jVsGvhy3vo4Ys2CJjyu1RgSm+3NktTIK//EYWcPJIhQhUV5h6qfubjnpe+b1uhzxJUX4aqtm5anKeHmZ102WZ4nSnwbYSjxuf8KcqqiMO6dmggJ99WavBoKL06QhepBTmKnlaL0u+VyqLm848U4705T63x9NC45O5Qn5gK9ll9nnlcjQvXl6V2ZCpGgTFDX8lYgmNA3+Z48orc0zkOSKTEvRTkcYO3//WXX4x+WaGHb6yyX3le+2I6Kw1wFerLG19ICghV0zw4mUg9A6xOK7ca80tTtbtvEDUkFGpDxtNPyrtdWXVSfalrUSdxlcTqMhv8vmmu4BUKeWiPC2FuQGefmAqe7LdrpFUXULJLgPHW+YLKlfyqkwqk/G3llUNoiLjVVTwrdT6vM2rn4JNAJU5zmmp7K0e3k1wtPT8C9GbDnb4yiazIdvaESlaa4CvVlna+kBA+TiNrhUTjeJlofekcu8943Vct1OAIDbkqpt+VNrqyqqT7EtbiTqNVdd4kMk1goB8mny26a6UclGelsLcAE8ZlOpvpVK1a5xGc9apuD2emthlsGRd40be89SQqRpERUbln+hLSQkHTtox3QqTfLjyqu28RIr8irTi6ONPneoSUTaf3RsBQFmzTcDNo/auIQ+2PvCUJwhL758i5JrRRV36n+v+Rpal1YK3d1W3yfuZwI6Poq2jhVjv++ZaPKEwIPNS0Ch8UWWhxY7deoO4kJvNjj5kU3p3n3vHO9+krbIBqc5EkfERCDXEoQdiEHZsQLGA5CxCstNEX6ih0Mzszsv7iB8N4gUE9m0VwFupZ+tWrOJW2SxySUefo0ZTRO+oBuIieW+HngGFUs9Nuur8qa+gByqq00TJzTGo+k45HbtkcU3K5mq4WuOuwRU9RmaBB9fTkm7GTcwtIq2naq2yyNcPtmav7Sa4JXppqb2Fj7yFtPgotbzbZDicdfhWKByPZkoKOThZqoG2UYTHh6e31vRht1GqkTsawrpAt4aGuvxWXOv35H4s/XSXYna781n5jr9VsaJBMBYe6WthVEex9tOVss/skt/1/DNL8UybERYbZmO+yuZNpahVvomSw4+u8TG0t0H41PN2RgTiMUvU+9qb/s5DDbRFEQJJrat2G7LdNZo1IrPbnd/JGc14jFNaKdPLR4MQFmvL3ExuRf2qMtqmS3BO4Ohq0V5O1Co/StwS3n355fJDRADhQ7Y6UQdBlhlU5+kXLYUNDYKDVuVkJ4hVxxCmjafVUAFMq2vcZxOyGBvwkdntzu9Qfix+h1fFzLsGr+FpojnodACtnT6S8axCXDsv+VpvlVRUP9hqMUQ70vo18ZCd2KezX7WoEJ66U32Tzcmawro1DbSNIuUwfRa/fJpYbJSqIwB/h2p4FFe2Kb/tJqkOqNY3mM1ijIXam0repCWHTWUNYab5ODav/DYjZCtc8pmvi8Tmn+KiWwzt9ctvGwR9q0Rzdkpo9ZId+x18NNDeKBoCKcvrbsuwaRh6UwnQ0FIjslKy/DcQ/DA7Do+EhrkKBbzse7ob7SmllFGHn1ZHi1F5x573MrV9Z1s9kdUmXZpaIXQJt56/cRvlLyjGmxviOtCSZeids1sdRVpdeZ3UK/Uq/zHuHNMNpCnJ7Mry6wjY9w1dy56ddvZac4lhzW6nwILIT1yiM9f0wIzsTZqR1WArycizqmq/ZUUefuRdaQ/l6yA+cns+MS/sXzruQ/UDjnJVm2r0AKJgYcO4sGuu0HmVTRvq2iy0b8ljELY/e/pziwZbl71t1ZU+HzYqY7AvAULiwH1CIw/zkOeAuWWj9MivLHcjNRqFV6TMudqlW0NBvci9fCWxi0sEt8NtfN574RLuU1G45d46xMJzOeZTQWy9CaSQDZnFmmqhrcryh931cKCYPvDHIiUj5XaDrWN+cNmJcvL+l+vEcg1ZUpcVsxdhxVp5SqLTDb3kOIyAG/wVLJxdLNgqND/44viGURsHtPac4H7SO6pE+yV1toqNPHvj3oYiyQFC4h74gfYoVkkfyL23Zcotm6XncjGS0fVeBwIJFrvWMmqoKyMh8sPc3ae00e/v8vDDrfNoxWrh9rod5a5SKs1ssYadnyCV0uLLlPrhQjH5yUQfMyTKTa7idoOtec7vWRW+W/8zHWZbGjs8m3flrdvRUHikw/VFd62ShkFIkRGZsSXL9R9rX8HWgbDw4D/BIQjBMnvK77R6ShVcDib4SE75kz7HZP8zJb8Qkvxcezd9nDYUUftwWxESF/cD7bIknY48j/ikb5Gx8rmxSaHE5HqvAeSaXDvXMmqoI1PtB1Is6byPqKPzvUxxt/Lm1sa7zc9jslR+U1VWeEMWaZ6rEfmZRj5DXwNEYe1OltqQVlV8t/rnQdy50i30HHyyBX0kODEJS+0GW8PLiLj53LtxlywIS+YzQueM7rQa2GdOgoFrYLFWPkmyC3mZgXQZmTUup4SFyd6aupqiCdG8LH5c1E5a+3olsdDcpB91Izklw0tyThKXd3982Oj2sDUnQEgcpydoF/rOkPlxWa0J5/a108eY/tJMPN8d2yWHpdXZtCISssdKK53UxsmxjVbDzZPPdfX256PT6LJpFn50Hq3p5BZ9vYvHz2mcHRIXP5zJU/AHZz9r15NHnpjMm9kNtsZkZfRx+vY0iMVKPI6S4Y68HjK8XwnZMAkv1spnyX65Hjlp1q21miVJ3vXUUmsB8EmqeedgSVUJ4JRMDoX2m/2YKE3JW2pTp7fXcx82wHXFBAOExD3wBO2SpOfjPCnedMxNm6XZbJGZXe817JPnXIu5uZu1qYg7GSESx/f4iI2taxsQMh/LcpeFzN9PXgguLpMtx6Re54nf6YvVYpWQuy5WP1fqwnq+GtqaSf5AtxvdkyGdltX82A220mQ5TBw2qscwGY4TC3uEaLLVXYyEgaHdQyRgl8koIa+j74ZtOeeYJjYeF2xBdSQRtoulYKWp/XCY7reL8cfmjC1QVE9tk0mSlNP1qmWh8j5sQLGUcgFC4h74gnZJEvLLkLxLwd5nOX0miZOp406MQ9L19quJza5xSy8Jf2Sw065uxvO0p8PuLZ0mXTu56KrWKndfMFfnKZ1DCu9zIm8s3Cbufsi2ejwh0yatGQYnd8PJaj8eDa0rrjCR8S2h9+40P3aDLTKyD8lcm7sPcTah72MM7jMfuh5PdVzeELp8zqXPqT36EWwzo+MHWa3F9DrQXOBZk040ThM3bZdAHzn7tVXS6cOGYs0FCIl74AsauXtMgi2D38Ic8CvdkZ9Pllbcv5SKvpEfuMkoTewuaLySsdbdXO+dzG6s9gfn88ki2up51+mELKw5+g5o6hBE35/zyT4dulr68275Sa61xcf+OjHSquhdhMRdBEI6NFmCq/uxHWylby+W0MXVUY6M5kPb048dppROk7uI5Wd+DOj3C7neWFueC+CDsTAcbqtVoYBCIBFyF5F8XGhm5meFequj4suvJZngcKS6MuLDRmUM9iVASBy4N2g02hpbHMZu+xWdq/a5jOJYXNpszc5l5L5q+XF5H/FRWnFpgzcmSHoez27kGmaLRYhJFZnDiMwVqBQwkn2uiyY1dLCIbVu0LQeKa+1WP/6wHGy5nnXakWtXQMFM1ebo/CL5TEOKtAg4cq0feaTrOCYcpC7iiuKKX+7QU5Fu8QsFPnfF1DMZOp+L8GFDke8AIXEP/EE7kR5Ib2rZ+GRb/pPO38BI9kOi1zWbv57IuDWkl0tn9xEZ18WI7tiGQq0e0uVs6OIJPAUM7aK303pK68PjzeknbVROlrc86S0QN89RZVs6SpCf/NrLeq0FW/fLnSx6dFxh931if/KxvQlCz1K/yQtaSCVMDq5GayiWN7n7hSzRdTel2rBW0DBPk7H1H92FZsIvnYl38Sn0k5WG+rPDMlT3iYeftJNkLcPhOz9ASJwCf9COZB5K++rM4fKUxiljOrXF1qqzaw/PtJ8W+skaWes9LzvSCya5j+jUgwNhithwawTMOtl2i9w7LYcIp36DIRHBM5nkLT8lNj/QnnRy2UnNnItJOjdesHiLxnJa+u0EW6QhkRojq6NV6llVtjSyDSik4ZAew7GbF6WocvSSZ9CScte613kX30oaNsOJ7Yil0tz1ukxDd7h+d5FKacFtq/ViRI3qACFxB3xCY7NR1fP/HIJ+SuOtSUqWM7v2otS/Ga71wQpKZvvxcFOMGg67xnU6fLChyaERgZO1rNt2Sucl6Tp01zVXswr5Sm5NT5KULMtbeYX2nJGAgQQN9mtmlThsWNl2pN2mrARbj3GyOJwPi2TscB6FGtmfN26NQBrnS4ZBon7bulPw0m34rYQ2c1olJUZ31f8i2E3DqpDbehnJR60xC45bbUHTznH/+3BNeCJASByvT2jU1sb2lZHGW8/CC9uaOUUkpfqLa7rjruG41d6KUcOxkRptrV+fh2qhGtmGx3XNtUKQnaQR1/DhExqxNXcTNDxGNFJwV+e0TWkhtxFsZeP0nNHPOXW3oKoycnFoRNYkm/kBQuIAfUKrbFmv/kqzozqv9FtH/lEPziwQS5UbjmjiziikAULi6H1Cq2zZrv7swa+5jurcGXJeDa9Wa5ubygL5UrnhiKa6LfH3x5XsnzEnTzxfHdecGIYw13WjqhuvasZ69VeaHdV5pV8ZuY1ga5uwWItEW+4Wp7yMXNwZqbcG+fcAIXHQPqG9bNmu/pdmN3X+0m8b+Wc9uLJALL3ccEMTd0YhDRASR+8T2suW7ep/aXZT5y/9tpF/1oMrC8TSyw03NHFnFNJNNVoGA4mj98nWy5bt6n9pdkPwS78qchvBVroo5rXon4Wzx67SuQcjvNXB0gAhceA+obmrftdeuENe1QN2DXeXBE6yWuq6UdXRuGtgrr1wh5zz494CseSaJu6MQhogJI7eJzR31e/aC33kFoKte3Ko4qCDq1fAeTHCGx0sDRASB+4Tmjtb7jQznlzrJ8+sYNcgL0Gz9jAeb94mqZcqKQG6s+VOM3YNk9YlL+u65uQIOiV8QnNny51mRpyBfuNgKzutklMVbJ2S1dbJx4sRNeQBQuIO+ITmzpY7zYynd/22d63ArkGvC84uCbyxq6Xvla5WWk3anS13mpmH7/qxa6jVfLf0O7Pdkt5zfEJzZ8udZlYh7/oVuoZhsHXfbK+3xs/3WxV4Wf3ixYga4gAhcQd8QnNny51mxtO7/uvW5tb32DUYy4fE0SWBN3a19L3S1UqrSbuz5U4z8/BdP3YNtZrvln5ntlvSe45PaO5sudPMKuRdv0LXMAu2tvtnlj1rN0nnKTnh4uPFiBrwACFxB3xCc2fLnWbG06f+51bhd0rndHyRgV2jbIzOLgm8sauln5WuVl5F2p0td5qZf5/6sWuo1Hy37Cez3bKec3xCc2fLnWZWHZ/6wV3DJNh6ru6F/dfzFedk46qBeDGiBj5ASNwBn9Dc2XKnmfHUov9k5x0I2DVeDyg7uyTwxq6WtlS6mgIFaXe23Glm7rXox66hUPPdoi3Mdgv7zfEJzZ0td5pZbbToB3YNg2DruS5nsartOcjGEw9XzcOLETXwAULiDviE5s6WO82Mpzb9FxvRFnYNvpmQy0sCb+xqaVulq2mAS7uz5U4z865NP3YNeM13S7Yx2y3tNccnNHe23GlmldGmH9Y1DIKtVXXHkGypOt+f93Oyk7q7xuHFiBr8ACFxB3xCc2fLnWbGU5v+A3vvnPgmoSQXu0Ybs7xt9pz6hObOljvN2DXcNlDXNWeA3ic0d7bcaTbsGvrB1pbdQyzsP9jLiDbO5rWoFS9GGJ3QvwFC4tB9QnNny51mxlOb/rUkkpJnY9cIsrdi1+AMQFLsGhCWdGTamNXR46CMT2jubLnTzChv0w8ZNbSDrfu+Wde3s8NZLW7KixFuDJYGCIkD9wnNnS13mhlPH/qvpq9Tx67RwSxvmP2nH5XuEJI7W+40d1Qgdg1L7cR1zRnA9AnNnS13mg26hnawtaluIhpULBa1yMB5zxclW1T6i6o28rkroQR2jcBazfVw8PBLMDCnncDBruGE1h6V3i5Ob0f16Jln04CuoRtsZVvPvnyzuYXmA1v1cs/Jv/Hf65VG30yXa9/2D2EsJcvErmGxgupNXEVtvdxoMBwO1iqlUbaDAewaHcT0cLrexFXM18vt/w0Gb7eoVFSh7IsBQNfQDbZO15cZ/GbIwGSpp6BebvPvll2x4+gR2Sx1P8jiKWE+do0mnUZH9SauoqhebkNWl+4GOO2rwl+HLHaNDmJ6OF1v4irm6+XOexwzVLgTyAK6hm6whRNbAt7BWZdZOprft8lwNruf56PRkk7pPjej8X67I9+Ok3R2qSnbjdM5CXJXR3KOCLByZX7xeszppCaNX3UZYJ1CGFEJMrFr6PJeL2exa1C1zwHtUPgxZQC7himD5uXtdg38gW5eI4UGedfAYMsS1Tpqnv8Wp+PqehlNDofHZnM6jMdEzfpvd5z8I3cEd3+b0/rvFW1t/zbH6b9HltK7jrN5xsoxw2wwWSc6MLDMGwPybiOItXIMtt7o1Dm02DUK85fB6wWuOniwDGMAu0bvLcFy18Bgy1KNyrsGBluWqNZRcx2wdbvVxO59cM2ef+Q3+JMEW89/dNiez7jm5z8SZD2TVRVsZVU58qT94EDktn9cGFMDBuTdBoMtA3ohRS12DWruOaI/Y/BjzAB2DWMKTRVY7hoYbJlWSFle3jUw2LJEtY6aZ5osT+SpziJouq/GaTo4koVXdDnchExcDRbr1WqScs3XAZ3kmk8x2OKMuErl3QaDLVfcl3otdg2i8Tkd1nYFdAz9q9Vj1+i9eu12jQyDLUs1Ku8aGGxZolpLzWM3/RveWLA1mhwvVzI/dSmmu6bz7DxYbsinuivFMhbj1mAr+6Nyq6EWDCzUZEDebTDYajJm/8hi18ieM4y1LNUQdg1LRBqosdk1Mgy2DGqiUVTeNTDYahDm/+AxXGbTRZbRO4hkVuvAbgg+k3l5Z/CFiN0pHM+z8YqcHJFFXbQc/4zp7cbiDz+DqS4D8m6DwZYutwrlbHWN5yzBbbYUeBeJYtcQseMtz1bXIIBxZstSrcm7BgZblqjWUXM7PrPHcJMtR/fHY7DNHhO68moxPN+WdMus+ZDcN7y+FvbO0nu2J4+wL8nv9N2ACNBy3C7NOOIqYE6HUSrvNhhsGREsL2yza8z/jtfrFe8jylmXS2DXkHPkWMJm13her4MNdg0rNSbvGhhsWSFaT8nl3yAZTJ/Zbfw3uG4H//42fyTYesz//q2mZOutx5yc+vd6ZP0+Hvz9kUXy93TwNyX3GVk5bno1+DfQ3ByVq8CUMSDvNhhsOW4rNrvGoPjgrqY2qgy7hg0WjXTY7BqnomuQoQQ/xgzIuwYGW8YkmyiovyzhUXtxwjMplmo9LrfGW5FuF3Z4a7stUi9vggnLyrsNBlvOW4nNruEc7M8YwK4RQFVj1wigEj4gyLsGBlsfpPV94rK7nGdkOy389MWAvNtgsNVL3WDX6IX2mlHsGjUyQvqKXaPv2pB3DQy2+q6jD/vXyXA4q70N6T5ln9ZFJ8LMD9V4AsSAvNtgsAUi0rYQdg3bjKrqw66hypgneewanojuNCPvGrrB1mKLH08MbBbss2mzJ8xsK4Dn5AwsRLGUNA+7hpxhSxLC1i/MtATg59Rg14ikyoWtX5gZiYPBwZR3Dd1gSx7GSQclFEAGwmTArHGblQ6TEUSFDBQMmDVus9JYBchAwAzIGzeTGJQ+yOW5s3BJXgJTZCASBswat1npSChCmL/JgFnjNiv9m4yj15EwIG/cTAKDrUgqFGH6YEDebUQozEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwkMtkQsYt6PMSDvNiJCzEqLNGMeMtAzA2aN26x0z66jeWRAxIC8cTMJDLZELGLejzEg7zYiQsxKizRjHjLQMwNmjdusdM+uo3lkQMSAvHEzCQy2RCxi3o8xIO82IkLMSos0Yx4y0DMDZo3brHTPrqN5ZEDEgLxxMwn1YOt0FdnFPGQgXgbuByPs2DWM6MPCATOAXSPgykFofTIA6Bq6wVYuj+P69BxtIwPaDOyf2kWLgtg1zPjD0sEygF0j2KpBYP0yAOga+sFW1q9vaB0Z0GPgfrmLC27E2dLc7Xd3DSl/UoJQIFYGvHUNbGSxNpFfxQ3oGtrB1hN/v/9qs4rZ72ybJkmSiuIh49uA39w1APzF3DwQu5ABT10DG5mwFjAzQAYgXUM72MqP5wBdRkjIgIiBxzhZ7M/7RTJ+dIk9AT9RusqW57+3awD4k3CD2fEy4KlrYCOLt4n8KnJQ19APtvL95VeZRb8jZSAbkzkt+jkPx133+tZdGQo+f2vXgPCnQBOKxsWAn66BjSyuVoFoCQOgrmEQbOV7s6e2sJKQAc8MbJNtsqHB1iZJ2m+DP9edU14qWL+0a8j5UyEJZaNiwFfXwEYWVbNAsHkO7BomwVZ+Xd+QamQgHgbSebZMDlm2T5bztA32aWNhXosq/s6uIeWvjVM89xUMeOsa2Mi+or38kBPQrmEUbOX5cXOwMhPwQzWDrvbGwJ0EWs9Zcjols+ch+Xgm8b7fWNw97gu7hoS/3uoVDbtmwGPXwEbmujJRv00GFLqGYbCV54/DFj/IQBQMrJJTlj3Gw+HkkZ2S1Tvmo+H+Wu9d+Ou6hoS/dz7x+GsY8Ng1sJF9Tav5CUcUuoZxsPU+wuAxMhAqA/RHc5ZdkuSSZS0zW6HCDgYX8hdMVXwvEGxk31u3P+4ZBls/3gB+yn2yHKSY2Ro/svY1Wz/FhrqzyJ86Z1hCkQFsZIqEoXgkDGCwFUlFIUwLDGyTc7lm65yYb6dlAVBkKur8sStHZA4g3PAZwEYWfh0hQh0GMNjSYQ3LxMkA2cJnRm8lHpJkPMJoQbkS6/xZemxTGQMW+HIGnrVOio3syyv7p9zDYOunqvvXnX2MkjHZQX6eJIfHYnT6dTqU/a/xp1wWCyADcgaem9H91Unl8iiBDMTCAAZbsdQU4rTBQLZg70Y8EmWXyQz3iVMktc6fYlEURwZkDJC3Iq6fOTYyGU+YHyMDGGzFWGuI2YCB+6XaYeuQrixv92CAK5ai90sSC1TEGRUD2S5dlds21jppVC4gWGSgkwEMtjqpwYzvZyBbp/vv99K2hxhs2WYU9REG9umy+hmEhCADX8cABltfV6U/5ND1eITfCNy2vsrzPh+ff4ixpqua/GGw1aQRj0QMABvZYbQgfbm9k4rUYx4yEAkDGGxFUlEI85OBxV+aDmaf5/mZJWvd5eF0yc830/N41vKDulm2KtFxusqP6osuf5Bgq4OojtNR0YZgVRiANbLjaF68Kqurk7Zb7GhNHafbdeBZZMATAxhseSIazdhngK7vuA667wM2r9zNozqafcvSrQ7pjtN1bfF81+UPEmx1ENVxOh7OEKkiA5BGdhrPyreSqrWPDumO04rAURwZsMsABlt2+URtHhi4zUfjRbmSNq/vTnqappNdfiHZdOH7LhnOZg9+lBeX4P0kndN5rO1ofNhVYVq2Hqbs/IpuB0EyWNnNYTcaU6nmaQ8uOjVhyh8Jtpr8kfU2Ja9Nor6UP6eV8y3K4Y1sMpzsyi4r6qTYyL6lafyqHxhs/WrNR+z3v+X5tGa3/p67v9eqrf1gfT6s8u32fBqPyaTXaHo8ZvyouI7v/ran6b9nvv63P02TRcXB7m+cjsn5PKUdYrYoy06S2Wk7IGu9mqerYpF+MeUvaeGP8fpG1JfyF2m1+4UNbWTpcLSGdlJsZH7rEK1ZZQCDLat0ojIPDNwHfFbrNhj80R2zys+/1yt4ngMSg1W3E6qjf7S9J+v8j0xXZf9ewRY5f5kkZFEXj6pY2cmQiK/S99PcXqSpMX9JG38Frz/BX6TV7hc2sJFdZ0O+6BLSSbGR+a1FtGaTAQy2bLKJurwwkA5X5ROEj9t6UD1MeKMBFvk81xOycJ7cDyyCrfrRvZBYTG8DOi82rYItdp5EW4+3YItKnAfZWwxBjcT8MeUvaedvMX2PSiffyV/Mde8NO6iRTcZHxU6KjcxbDaIhywxgsGWZUFTnnoFsP/sb8icIp2SIZ59rEULl+Wh6vt0GZMaruI7Xj1iQsJy8Bwvl+fE2HdLJMXIbsZzZog8wXgbPLwu2TPn7CLY4rx/B1nfyV7Y3TEQMyBvZafZvpd5JJ9jIRLRjXrgMYLAVbt0gsm4GspRcp4vPlFx92edJA6w8f9CY686DrcZRRue78vEiKyRfa7b4+fwxHJIVWqMq2KK693+kyJp8qU6T77F/jPhLOvl7I2rytfzFXv9e8Asb2XmRbvQ6KTYyL7WHRmwzgMGWbUZRn2sGHuTG4XNIWu7unmf7wa6yNx+S+4iXjJzJJvQ6vhw/s9cRneeap4/8MLjmi+HlsfyjN7nYh5/PV8PZeDUgGbRsTrU8hiSsWw2f+b46zUtFmhrzl4j4qxP1nfxFWu1+YUsa2e3fcPfU76TYyPzWJlqzwQAGWzZYRB0+Gbj9GySDWUbmmwaDQW1RfJ7NBv8G03w3SP62dOH8ffw3uFVHNNh6jgf//kibz+Z//1YzPjn2Op8/08G/IV2zW5SdLEb/BhNiiZz+m9G7i8Vpn846sGXMXyLkr0bUd/LnoEq+T6WwkZHNiGdmnRQb2fc1ma/3CIOtr6/iL3TwcXsWXj1vj6Z37ER2I/FR9WkePV55w9ecGLn5yM/fH/lxtGArwiar/F6uDSOnv+djyB/ZZ4t+Ovlj2eTvt/JXOYhfuhnobGT3xXCT5c1u2TyqOiM2sm5+MSc2BjDYiq3GEK8FBq7723X+rx6SNZXu0jUN50iwgJ9PBpJcxl9ZBvn7JO/Xzzw3rG/JecBGJucIJSJiAIOtiCoLobYy8Jixj8Lc021C7hXe8+6Sz3W6zfLZa+OuVsvfcbKbhQ7/klzKHyv5G/x1sISn6wyUjWy6TtfQfoqNrE4gfo+eAQy2oq/Cn3cgO7FP90RVF0Wiko9lSh5M/IWPiIVW/8vbiGTpmzbzrXrx5PcyUDSV43K4hIZaFRXYyCoq8EvUDGCwFXX1IXiHDNzm42IvCYcm4lRdBVtxwkfUPTGwS5d8d7yeEKBZZKA/BjDY6o97tBw6A5fp5BI6xh7wYbDVA+nRm9zzx06i9wQdQAZ0GMBgS4c1LPMrDJzGs+uv+Ar2E4MtMFUoWDJwGM3Zy7SQEWTgRxnAYOtHKx7dBjJwxFHinSkMtt4ZwWMxA0f8zSImCHN/gAEMtn6gktFFIwYOI1xq0iAQg60GHXggYeA0nuLdeAlHmP39DGCw9f11jB6aMrAfrZQfojK1GXB5DLYCrpzgoJ0nU/J+LfwgA7/OAAZbv94C0H8IA7sReHsgiLq4ZTDYirv+fKInz5hgqOWTcLQVLAMYbAVbNQgsJAayclP5kDD1hQWDrb6Yj83uZTY+xYYZ8SIDbhjAYMsNr6j16xjIttD3jHyd628OYbD1RggetjJwneFGda3E4MmfZACDrZ+sdnRahwH4a910tMdTBoOteOqqP6S3+ehHXsHQH8doOSYGMNiKqbYQa88MPDdDXLuVY7DVczOMwPx9ke4jgIkQkQFvDGCw5Y1qNPQNDJDZrdWvv3MEg61vaMkufbgv0536q0pdIkLdyEDfDGCw1XcNoP3IGCBrt5a/vRk2BluRNVnPcB8rDLU8U47mImAAg60IKgkhhsUAeTJx8cvhFgZbYbXHsNA81+kWZ7XCqhNEEwIDGGyFUAuIITYG9qP5726KjcFWbM3VH16yqnHz9GcOLSED0TCAwVY0VYVAg2LgMP7ZjbEx2AqqJQYEJtvg9igBVQdCCYoBDLaCqg4EExEDx8nkN3dsxGArolbqESpZzYivtfLIN5qKiwEMtuKqL0QbEgOn6U/u2ojBVkiNMBQsZCXjEt8gGkptII7wGMBgK7w6QUTxMEDeR/J7OzdisBVPA/WGdJ8ufn1LFG9co6EoGcBgK8pqQ9DBMHCdj/Y/9vAVBlvBtL5QgBxGP/18bijVgDhCZgCDrZBrB7HFwMBtkf7WA1gYbMXQLD1iPI7mv7wVikem0VTEDGCwFXHlIfRAGHish7+0rTwGW4G0uzBgHMezaxhIEAUyEDADGGwFXDkILRoGntsf2ucUg61o2qV7oKfJ9Hd3nHNPL1r4HgYw2PqeukRP+mQg249mPzLqYLDVZ0MLyvZ5MjkHBQjBIAOhMoDBVqg1g7iiY4BsvHWMDrQGYAy2NEj7xiKX6Y/uNPeNlYk+uWYAgy3XDKP+H2LgPPuFRxMx2PqhJt3t6nX2k7vMdROCOciAiAEMtkTsYB4yoMjAdZFuv/3dcBhsKTaKbxS/zUc/MY37jXWHPvXCAAZbvdCORr+XgftquP7unbQx2Pre1gv07LYY/d5mvkBuUAwZaGUAg61WWvAkMqDPwHOTLr953yEMtvTbxleUvC/S/Vc4gk4gA/4YwGDLH9do6WcYoI8mfu9TWhhs/UxDbnP0sUx3P/bOhDYa8BwyoMYABltqfKE0MgBj4Dj52rcmYrAFawJfKfVYpVsMtb6yatEptwxgsOWWX9T+uwxc5unuK9fKY7D1s436uU43GGr9bPWj4yYMYLBlwh6WRQZEDNC18neRQJx5GGzFWW/GqMlixN96C6gxY6gAGagYwGCrogK/IAPWGaCv8fm6feUx2LLeTmJQmG3T9VfO1MZAPmKMnwEMtuKvQ/QgaAYO42/bVx6DraAbnBtwJNRaffeOJm54Q63IQMkABlvYFJABxwyQfeW/6vEtDLYcN5jw1Ge7dPmFN8TDIxoRfS8DGGx9b92iZ8EwcFumX7R4C4OtYBqWJyD7dIGhlieu0cy3MoDB1rfWLPoVFANkbfHXLN7CYCuopuUczGE0/+Y9ep3zhwaQAcoABlvYDpABPwx8zeItDLb8NJgwrBzHs2sYSBAFMhAzAxhsxVx7iD0uBs7zr3hLNQZbcTU7E7QnDLVM6MOyyEDFAAZbFRX4BRlwzgDZeWsV/S0ZDLact5NADJwm06/buCQQahHGzzGAwdbPVTk63CsDz91oduoVgbFxDLaMKYxCwXk6+d4XfEZRAwjymxjAYOubahN9iYKB03S0j/mdJxhsRdHMDEFepuPIfxQYEoDFkQGrDGCwZZVOVIYMQBi4Rr0VBAZbkDqOW+Y6Gx/j9gDRIwNhMYDBVlj1gWh+hAGyFcQ81ns0GGx9eyO9zUeHb/cR/UMG/DKAwZZfvtEaMsAZOEzGcd5NxGCLV+F3pvfFaP+dnqFXyEB/DGCw1R/3aPnXGbguotxYHoOtb26492W6+2b/0DdkoB8GMNjqh3e0igxQBh7kbmJ0D9djsPW9jfexSr/qPZ7fW1PoWWwMYLAVW40h3i9jIL67iRhsfVkTrNx5rNNtzM/JVo7gF2QgOAYw2AquShDQrzEQ291EDLa+s4U+1+nm+Z2uoVfIQO8MYLDVexUgAGTgsY3p2UQMtr6xxWabdI2h1jfWLPoUBgMYbIVRD4ji1xk4Tke7SMY6DLa+r7Fm23T1+D630CNkIBgGMNgKpioQyI8zcF1G8t5EDLa+raVmu3SJoda31Sr6ExYDGGyFVR+I5pcZIO9NnEawbzcGW1/WSPfp4v5lLqE7yEBoDGCwFVqNIJ6fZuA0S7ehzzFgsPVVTfQwmt++yiF0BhkIkQEMtkKsFcT0wwzc1+ki2K23igmQItjCqZDvaKPH8ez6HZ6gF8hA0AxgsBV09SC4X2QgC3frrT0NA2mwddn/Ys18nc8nDLW+rk7RoUAZwGAr0IpBWD/NQKiL5Z8pibZIsHVJI3ly8qdbkcz582Qa7ByqDDvmIwORMYDBVmQVhnB/hIFAF8tPhxcSbJ2T1Y9Uw9e5eao8ukwn5+oAvyADyIBbBjDYcssvakcGtBk4zdNNaIvlz8nwkpyTBJdsaVdrrwWP/GnX62z8irt6hYTGkYGfYACDrZ+oZnQyTgbu5D3VtdmHEG7dpWmaJOk8Tj5/HvU9Za8+JKEWj7p+nhMkABnwwgAGW15oRiPIgCYD9Z3lDwGssNkl4yQZBQBEk8+fLpaNiij5thgdfpoHdB4Z8M8ABlv+OUeLyIAKA7fVsNwL4jkMYDoiIbHWRAU/ygbDwCIhDei+TPFR0mCqBIH8DAPNYOuAKzF+pubR0XgYoHtBFC9OXCb9r7NZJskE50XiaTw1pIckyR6rdMduJdYy8CsygAw4ZuDKrt2D0swTf/E4JhzVIwNaDJC9IJbX/Jr0H21lyTDVcgEL9czAPUlm63SLoVbP9YDmf5IBNrGV82Ar3/wkC+g0MhA+A9l+PN6Ph1W0db/0NA89Tdbhs4UIKwZ4Q8lSEiZvQnjIooKGX5CBX2Egew+2ypmuX/Ef/UQGYmKATG9NkoQ+nphtyTOBSQ+zFL0ZjqmeAsJaq685bTGLPb4HMaDqQSg/w8C2/JlTzWzl+MPnZyofHY2PgeuMDJgk2nqMk8X+vF8kY8/7cBHD8/2uB8Px1VUQiIv6Yg1lT5tO8ZkfcHoriNpBEL/DwJk/2/QKtrL177iPniIDMTHw3I+GbLQ8jcmcFv2ch2OvK3Cy8fBcGL54NhxTPQWEtVZfo2Q4ni7W+5Pn8DwgNhAKMtAXA693yb6Crfyxxl89fVUI2kUGOhm4kqcAX59tsqFBzyZJypUAneWsZmyTZFUEWyvPhq168TvKsL5+p67R04AZOLwePawFW3m26f/p8oBZQ2jIQO8MpPNsmRyybJ8s516fDEznqyLaWiXrhVfDvVMeJwCsrzjrDVF/FQO39fXlTz3YyvPrZt/Tc04vRPgNGUAGOhi4k0DrOUtOp2T2PPh8SyE1TKMtEmtlXg13EIGnxQxgfYn5wVxkwDkDj8OGL9cqbDWDrTx/Hrf4QQaQgTAZWCWnLHuMh8PJIzslK38gC8OrZEJiLb+G/bn4VZawvr6qOtGZGBk4vC2SfA+2nEd7aAAZQAZ0GaATFll2SZJL5neCiRmeJBNiHme2dKvPXzmsL39coyVkAMQABlsgmlAIGQiCAbJmq5jZGj8y32u2MnIPcULXbeGarSCaQieI22E1GdKGgvXVyRFmIAPeGcBgyzvlaBAZ0GZgm5zLNVtnv08jbpIzXa9F1m15NqxN1S8WLOKsyYpsX4r19Yv1jz6HzAAGWyHXDmJDBpoMZON0Rm8lkhcLj73u1JKNE7pei0Rbid8Nvpr+41EXA7fDejKcLPdXtv0a1lcXUXgeGeiHAQy2+uEdrSIDWgw8RsmY7CBPXsCyHx20NGgWIuHdnBn2alYT7U8Vux3X0+G4irOY71hfP9UG0NnwGcBgK/w6QoTIwIsBsmSK7HCabo/5fbLwuYn8ccMNv8Dgt54ZuJdx1uWzJWB99Vw3aB4ZaDCAwVaDDjxABsJn4H4pd8Nbj2pb5nnAffe5tZcHf6I2cT+tZ8PxYtcSZ3G/qobCT2CKDCADfTGAwVZfzKNdZMCYgXO6M9ahoiBREUZZVww8TpvZcCSMs1yZRr3IADKgxwAGW3q8YSlkIAQGHrNZY+e83etNXC7gJc0tkSsT1OwW13JVfLj7QuKseUrirDPg8Yj3xoA15K5eUDMyIGMAgy0ZQ5iPDITMwDY91+DNF7UD7a/LrndcJ5NVq1Jqdt6e1SqPJzUYeJ638zSdbyFxVqH+vTFgDWmwjkWQAUsMYLBliUhUgwz0w8B1tH4Zfh9fXzkq36bLDmlRsNVRBE9bYIDEWQsSZ21OjWlMmWI7jUFmBfORAWQAwgAGWxCWUAYZ8M/AaZpOyJKszWE3XuT7STqny+LJ0WhM7xVWX/JjmkzpQvntaHxQHV+vZErqOSM3AI/rPL/MR+MVuT21S4b07uRpOppRvQwA+ZLnJNgqzVeAKrNbiqoscyOaFkqBQaEe/3wykJ13i9FwBouzNof9uGgdvFYa9VvU0KcFPIMMIAMeGMBgywPJaAIZUGdgP1ifD+TW3CSZHk+7v+1p+o8EQpNkdtoOSHRUfdn/bdfDv1u+/dudJgkJnlQ+j8E9Pw7GeT4llrbb82lMvl9H0+MxI3rPa6KXAWBKyft6SvMVoMosnQ7jZf4tz6d1+cikChyUrTOQXco4C8zkJJmfNgNyX5nXSqN+Oycs60bxOzKADDhhAIMtJ7SiUmTAlIF/G6ZhkpL0H11FlaxJ5DMkX1bkVPXlH5n9ug1HT5pmf4rBVj7c5cvFIMv/TkQv+TwHJLwqRmWqL1/MiSUKgH2Sl1UOqDJLC5Vl7gOc1eKU6aXZZb8cD6frIzjOKuxMRiSZlBVRNIZ6/WKwpVcZWAoZsMEABls2WEQdyIBtBm406qEfOnbei4PFlBzRaOpMoiP+5TZYrtfkTS0jMkdVZtNS0M9ylg/Po9OFaMyf60maDkjURUflUi8N68hR+Um41QrQvTJLClVl0uGqvmyfF8cUwEB23S8nNM4q6x9QpBIpqopU6atW6vWLwVZFFH5BBrwzgMGWd8rRIDIAYOBaRDFEkD4AeCsOlpMy8rkMniwEIl+ug9WGfHa7YvJrpjqzdfz3+MtWyw25e5iPpufbbXBkwRbXywCUgJNiNCdWK0C3YhKLmiVDeVUm28/+hmqTMgBKvl/ktl+RFxyuDxpxVkFO8bDockraC51apLVSr18Mtr6/BaGH4TKAwVa4dYPIfpmBJ4166IcOoBmdb8rJOvl8QgIusjTq9YXLZYPx/JkPiYjS5zkgIdw5nazznK7vIXMiZbDF9b4FW6X5ChD7Qs2SofxVhkBOCW78gBm4HWictdKOs/63d6ddasJgGIbtsCMuIzMuqPD//2UTFHFUlE0kyc2HFmVLrtDT54Dw5gcqwlY5Klfje7o7XLtBrIgAAn0KELb61GRfCPQmMLXF9Y3tOetMnUP2MxHPBvoiDB1skWMuM/l6ySYL3YU7nzQNW5k7WYosNxEHSierLJW7zWbeMc2K/eZp79wrqzxq0aDQPWYreVh53eS8zUHcQzzaVS/r6k1Ilx0lP+I2sD+P217PKh2KsCVOhvOoXI0vYauEYg6BwQUIW4OTc0AE6gik4eRrIn+lJa8QHb3J1z+ZXvzI/Zr46dVMGolFX3F2cCdflts4bM1lhPPEpTLxyoeJ9e/7nwhbe+/fJCn2+zdsFYe/NEge1j/fRszO2yRfE2sSikYyvRBIZCFpfxbv+sG6hK3LqGRX48ttxBejwWIE3ihA2HojLrtGoIvAMTmUmx+S/P9j8d/pPv8x1GVGXJI6r7ffH2+q95Sb15pLT8co1i32W3wWz0OK2dPhxV3HYuXii3y18zaH5Fhuxdwjgb3MWV5vOev2EH9G5XYhnxFAYGgBwtbQ4hwPgQ4C+bULuf1l5u/OVn+q9/xd1v2TDFtMnQX2FJLubMgOEFBMgLCl2IDRXLMFwuW5/5eZG48/1XtulrX+KOpd5xNhqzXheUNRSDq0ZSHpfu4bdm0O2yOAwEAChK2BoDkMAsMIpJHf+0sX0vVpImx1GMPDWhaSjuoXku5wLDZFAIGRCRC2RjYgNAeBrgI/zvmtEV13dLc9YeuOpNYXopC0yFlTclYtLVZCQEcBwpaOo0qfzBZIvNl77lIRthqfWMe8kPS0XiHpxntnAwQQUESAsKXIQNFMBOoLpHOv+0ubHhyOsPUApfKrSyHpq4dKK1dmAQIIaC1A2NJ6eOmcqQJrJ35D1wlbNVFFIenIs8OmhaRr7p3VEEBAOQHClnJDRoMRqCFwCET1nr4nwtZrUVlI2mtZSPr13lkDAQTUFCBsqTlutBqBVwJLV9Tg6XcibD333HUsJP187yxFAAF1BQhb6o4dLUfgqcDG6bs8IWGrEryXQtKVe2cBAggoLkDYUnwAaT4ClQIdq/fc75ewdW+SZf0Vkn60d75DAAEdBAhbOowifUDgsUDP1XsIWzfMPReSvtk7HxFAQBsBwpY2Q0lHELgX6Ld6D2GrFH5zIenyQMwhgIAGAoQtDQaRLiBQKdBr9R7CVu5MIenK040FCCDwWICw9diFbxHQRSDur3oPYYtC0rr8s6AfCAwrQNga1pujITC4QOLNe6reY3TYOlJIevBTlwMioI0AYUuboaQjCFQI9Fa9x9SwRSHpijOLrxFAoKYAYasmFKshoLDAbz/VewwMWymFpBU+72k6AqMRIGyNZihoCALvE9j7UQ+3Es0KW5dC0vv3jQt7RgABMwQIW2aMM700XmDh7jobGBO2RCHpU4FDclbnk4YdIICAECBscRogYIbAxll17agJYUsWkvYpJN31VGF7BBD4I0DY+sPBBwT0FTiE4bFb73QPWwmFpLudIGyNAAIVAoStChi+RkA/gW9306lTGoctCkl3OjPYGAEEngsQtp77sBQBnQS27rJLd/QMWxSS7nJOsC0CCNQRIGzVUWIdBDQROE6DQ/uuaBe28kLS3ize9fCoZntWtkQAAe0FCFvaDzEdROBaIHbW1x8bzesUtopC0ltyVqNzgJURQKCNAGGrjRrbIKCuQIfqPZqEraLAITlL3bOYliOgmABhS7EBo7kIdBVIZ37L10epH7ZEzprabrTacD2r62nE9ggg0ECAsNUAi1UR0EPg1/lp1RGlwxYFDluNORshgEAfAoStPhTZBwJqCbSs3qNq2BI5K3Kc6fe643vG1BpkWosAAuMRIGyNZyxoCQLDCbSq3qNg2DoVkg6X6w4PYQ43KhwJAQQ0FSBsaTqwdAuB5wLrFtV71ApbFJJ+fgawFAEEhhMgbA1nzZEQGJPAIZg2vaumTNiSBQ49WeCw5ZMAYxon2oIAAhoIELY0GES6gEArgW9322w7FcIWhaSbjSlrI4DAEAKErSGUOQYCoxRoWr1n7GGLQtKjPM1oFAIIZIQtTgIEzBVoWL1nxGGLQtLmnsX0HAEFBAhbCgwSTUTgbQKNqveMM2xRSPptZwc7RgCBngQIWz1BshsE1BQQ1XtqN3x0YYtC0rXHjhURQOCTAoStT+pzbAQ+L9Cges+YwtapkHQUU+Dw86cQLUAAgVcChK1XQixHQHeBn7rVe0YStvbrZSgLHJKzdD8z6R8C2ggQtrQZSjqCQFuBvT+rVZj582GLQtJtx5jtEEDgkwKErU/qc2wERiJQr3rPR8PWcf09lQUON01fxToSYpqBAAIGCxC2DB58uo7ARaBW9Z5PhS1RSDrPWRSSvowXMwggoJQAYUup4aKxCLxLoE71ng+ErVMh6SmFpN817uwXAQSGECBsDaHMMRBQQGD5snrPsGGLQtIKnDQ0EQEEagkQtmoxsRICBgi8rN4zWNhKt3FEIWkDTjm6iIApAoQtU0aafiLwUuBJ9Z693DgPW/ncy121XkEWks5zVtJ6F2yIAAIIjEyAsDWyAaE5CHxSoLJ6T7wVzZJhaxu/r327eO7b/uKHnPU+Y/aMAAKfECBsfUKdYyIwVgFRvefhK7eOjkhbImxtnPe8eYFC0mM9I2gXAgj0IEDY6gGRXSCgj4Co3vPwwlJgb0XYWlv1KynWNaGQdF0p1kMAAVUFCFuqjhztRuBNAr8Pq/dsLHtrrS2r159s5YWk/Vm8e3g17U39Y7cIIIDA0AKEraHFOR4CYxfY+9E5/OyumurYjmW506tvOs2eCkmTszohsjECCCgiQNhSZKBoJgIDChTVe3ar8qAryxVhS/5Ovuu0Xy9C24tiCkl3lWR7BBBQRICwpchA0UwEhhTYOKeYZV/dNbQty/M7NkIUkg5tN1qRszpCsjkCCCglQNhSarhoLAIDCRzC8CAO5Xnl8eaW5f+UH5vOiZw1dUTOopB0UznWRwAB5QUIW8oPIR1A4C0CK2eTZTOrjFep5TjtjlQUkiZntfNjKwQQUF2AsKX6CNJ+BN4ksHMX2Y9llw8KhtZ340MVOWstr5MxIYAAAmYKELbMHHd6jcBrgTTy17YVnVbcLUPXcsPl9QOKYkkZxe72d9ysIteeLslZdzR8gQAChgkQtgwbcLqLQF2BZP3tW2KS8WobBKvksDskqyC4fiBx//haV7qVOSskZ9W1Zj0EENBbgLCl9/jSOwTaCWxmMmflk5tlS1/8fus8bfxlMZv9Ond3B9NtHHl2uFhfPcd4WZ8ZBBBAwEgBwpaRw06nEXgtkMQz1xLve7C+o+Ilp/lGaXS+s5jOrNn1btJdPPPsYPFLzrpmYR4BBBAgbHEOIIBAtUASR64V3iyP8mtbe8+2iwUyZ/kyZz2sq1isxd8IIICAmQKELTPHnV4jUFtg6+f3Cncz1/bm+e/jU1/8buvX8fL3Qpxylr/4IWfVJmVFBBAwTICwZdiA010EmgoE+e+1Zo4tpsBbyM03QSqil+Un8dy3/Tk5q6kp6yOAgFkChC2zxpveItBUYBfILSIZtcTkhAv50XdFoUTxRnlyltRgQgABBJ4LELae+7AUAdMFlrJK4uYUtcSfrifuJO7k7+Yty3bLhxRNZ6L/CCCAQLUAYavahiUIIJBlgfyZln8JW/ZUPoG48+UP50Xkmt69+wEzBBBAAIEbAcLWDQgfEUDgj4B3FB/LrGX7nvh8lH9kSTx1bXnhiwkBBBBA4IkAYesJDosQQCDLi09fha1TNeqyJHVy/UZ5vBBAAAEE7gUIW/cmfIMAAqXA7ZUtt7yyVa7EHAIIIIBAtQBhq9qGJQggcP7Nlnh/aTEF+W+28kcU4UEAAQQQqCNA2KqjxDoImCuQP40YF1FLPI4ofzC/WpoLQs8RQACBpgKEraZirI+AWQKn92xdHkc8vdU0f0TRLAd6iwACCLQWIGy1pmNDBMwQOL1BPjhd23IWstMb7iKaMfb0EgEE+hEgbPXjyF4Q0FZg66eyb+vAsZ1I3kPM8tqIcoYJAQQQQKCGAGGrBhKrIGC0wDK66X60vPmCjwgggAACTwQIW09wWIQAAlIgivJrW2eMNLoNXyghgAACCDwTIGw902EZAghIgaVfFkHc+FzX4qxAAAEEGgkQthpxsTICZgpsg2CVHLJDsgoC3hhv5jlArxFAoL0AYau9HVsiYJDAbhl6thcu81/IG9RvuooAAgh0FyBsdTdkDwgggAACCCCAQKUAYauShgUIIIAAAggggEB3AcJWd0P2gAACCCCAAAIIVAoQtippWIAAAggggAACCHQX+A9EA6KKAqRnWQAAAABJRU5ErkJggg==", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", @@ -189,17 +344,28 @@ "id": "19f51d4e", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "b91e6fd2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -212,10 +378,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "1505f319", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `aoi` | `https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox` | area of interest - pattern-12/aoi | area of interest as a bounding box - This parameter is derived from pattern-12/aoi |\n", + "| `bands` | `string[]` | bands used for the NDWI - pattern-12/bands | bands used for the NDWI - This parameter is derived from pattern-12/bands |\n", + "| `another_input` | `string` | Another Input - my-asthonishing-stage-in-directory/another_input | An additional input for demonstration purposes - This parameter is derived from my-asthonishing-stage-in-directory/another_input |\n", + "| `item` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Landsat-8/9 acquisition reference - pattern-12/item | Landsat-8/9 acquisition reference - This parameter is derived from pattern-12/item |\n", + "| `cropped-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | cropped reflectances STAC Collection - pattern-12/cropped-collection | STAC Collection URL for the cropped reflectances - This parameter is derived from pattern-12/cropped-collection |\n", + "| `ndwi-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDWI STAC Collection - pattern-12/ndwi-collection | STAC Collection URL for the NDWI - This parameter is derived from pattern-12/ndwi-collection |\n", + "| `water-bodies-collection` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Water bodies STAC Collection - pattern-12/water-bodies-collection | STAC Collection URL for the water bodies - This parameter is derived from pattern-12/water-bodies-collection |\n", + "| `s3_bucket` | `string` | my-super-stage-out/s3_bucket | This parameter is derived from: my-super-stage-out/s3_bucket |\n", + "| `sub_path` | `string` | my-super-stage-out/sub_path | This parameter is derived from: my-super-stage-out/sub_path |\n", + "| `aws_access_key_id` | `string` | my-super-stage-out/aws_access_key_id | This parameter is derived from: my-super-stage-out/aws_access_key_id |\n", + "| `aws_secret_access_key` | `string` | my-super-stage-out/aws_secret_access_key | This parameter is derived from: my-super-stage-out/aws_secret_access_key |\n", + "| `region_name` | `string` | my-super-stage-out/region_name | This parameter is derived from: my-super-stage-out/region_name |\n", + "| `endpoint_url` | `string` | my-super-stage-out/endpoint_url | This parameter is derived from: my-super-stage-out/endpoint_url |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_inputs()" ] @@ -230,10 +423,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "5d2a4e59", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Runs | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", + "| `app` | `#pattern-12` | None | None |\n", + "| `stage_out_1` | `#my-super-stage-out` | None | None |\n", + "| `stage_out_0` | `#my-super-stage-out` | None | None |\n", + "| `stage_out_2` | `#my-super-stage-out` | None | None |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_steps()" ] @@ -248,10 +460,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "abcdff15", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `cropped` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]` | Cropped reflectances | Cropped reflectances |\n", + "| `ndwi` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Normalized Difference Water Index | Normalized Difference Water Index calculated from the input bands |\n", + "| `water_bodies` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Water bodies detected | Water bodies detected based on the NDWI and otsu threshold |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_outputs()" ] @@ -266,7 +495,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "dc4d0b49", "metadata": {}, "outputs": [], @@ -279,10 +508,60 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "7fa174e4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "\n", + "\n", + "### Inputs\n", + "\n", + "```json\n", + "{\n", + " \"aoi\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox\",\n", + " \"bbox\": [\n", + " -118.985,\n", + " 38.432,\n", + " -118.183,\n", + " 38.938\n", + " ],\n", + " \"crs\": \"CRS84\"\n", + " },\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " },\n", + " \"bands\": [\n", + " \"green\",\n", + " \"nir08\"\n", + " ],\n", + " \"cropped-collection\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", + " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/cropped_collection.json\"\n", + " },\n", + " \"ndwi-collection\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", + " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/ndi_collection.json\"\n", + " },\n", + " \"water-bodies-collection\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", + " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/water_bodies_collection.json\"\n", + " }\n", + "}\n", + "```\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "params = {\n", " \"aoi\": {\n", @@ -336,10 +615,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "1cfd01e0", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] + } + ], "source": [ "parsed_args = argparse.Namespace(\n", " podman=False,\n", diff --git a/docs/pattern-2.ipynb b/docs/pattern-2.ipynb index 1725b22..f0a268b 100644 --- a/docs/pattern-2.ipynb +++ b/docs/pattern-2.ipynb @@ -41,16 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:28:03.383\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-2.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.384\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-2.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.406\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.414\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.430\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.431\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-2...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.432\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.432\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:03.433\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-2.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:32:03.003\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-2.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.004\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-2.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.014\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.015\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.015\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.015\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.243\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.243\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.244\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-2.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.244\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-2.cwl - uri: ../cwl-workflow/pattern-2.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.244\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.245\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:03.247\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-2.cwl successfully load!\u001b[0m\n" ] } ], @@ -83,116 +89,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-2/aoi\n", - "\n", - "pattern-2/aoi\n", - "\n", - "\n", - "\n", - "pattern-2/step\n", - "\n", - "pattern-2/step\n", - "\n", - "\n", - "\n", - "pattern-2/aoi->pattern-2/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-2/bands\n", - "\n", - "pattern-2/bands\n", - "\n", - "\n", - "\n", - "pattern-2/bands->pattern-2/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-2/epsg\n", - "\n", - "pattern-2/epsg\n", - "\n", - "\n", - "\n", - "pattern-2/epsg->pattern-2/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-2/item_1\n", - "\n", - "pattern-2/item_1\n", - "\n", - "\n", - "\n", - "pattern-2/item_1->pattern-2/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-2/item_2\n", - "\n", - "pattern-2/item_2\n", - "\n", - "\n", - "\n", - "pattern-2/item_2->pattern-2/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-2/water_bodies\n", - "\n", - "pattern-2/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-2/step->pattern-2/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -320,67 +223,76 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:28:04.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:28:04.513\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:04.521\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:04.522\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:04.524\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.705\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.705\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.706\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.706\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.707\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.760\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.767\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.768\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:05.768\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.866\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.867\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.867\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.868\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.868\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.923\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.935\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.935\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:06.936\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.966\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.967\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.967\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.968\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.968\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.969\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.969\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.970\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.970\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.971\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.971\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.972\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-2 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.972\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-2/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.973\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-2/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.974\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-2/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.974\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-2/item_1: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.975\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.975\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.975\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.976\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item_1' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.976\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-2/item_2: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.977\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_1'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.977\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.977\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.978\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item_2' to 'directory_stage_in_1' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.978\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-2 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.979\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-2/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.979\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.980\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.980\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.983\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:28:07.986\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0147 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:32:06.597\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:06.645\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:06.649\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:06.649\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:06.650\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:06.650\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.044\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.045\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.045\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.046\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.047\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.047\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.097\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.098\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.098\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.098\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.524\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.525\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.527\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.527\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.527\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.528\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.528\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.581\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.586\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.586\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.587\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:07.587\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.031\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.032\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.032\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.032\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.033\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.034\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.034\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.034\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.034\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-2 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.034\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-2/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.035\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-2/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.035\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-2/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.035\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-2/item_1: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.035\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.035\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.036\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.036\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item_1' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.036\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-2/item_2: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.036\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_1'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.036\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.036\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.037\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item_2' to 'directory_stage_in_1' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.037\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-2 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.037\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-2/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.037\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.038\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.038\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.038\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:32:08.038\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0041 seconds\u001b[0m\n" ] } ], @@ -402,242 +314,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_1\n", - "\n", - "main/directory_stage_in_1\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "Water bodies detection based on NDWI and the otsu threshold\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_1->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/water_bodies\n", - "\n", - "main/water_bodies\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/bands\n", - "\n", - "main/bands\n", - "\n", - "\n", - "\n", - "main/bands->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item_1\n", - "\n", - "main/item_1\n", - "\n", - "\n", - "\n", - "main/item_1->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item_2\n", - "\n", - "main/item_2\n", - "\n", - "\n", - "\n", - "main/item_2->main/directory_stage_in_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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pO72/kt4AqiW5Pa9qw7psB/Hvu2+Luaja6e/l9DYs3fhBbZKlXxxqbAxRaBQLb7BvURZ6Pfib3ZPN1j6oq0Q0x00H39SvfLidcZsAM94tAyOFeplin+9XKfzt1LM19yqoqqizfPtVD/2Xe9KLIw4wveg7y0gtY6R0GlwtwEh3rwOc6rDzsdMxF1ldr1OQ+mUItU+fWg2tNha1vHJd6qnBEPXVyVL3w4ViwZ7wPVneqr/tZHZAxsIOXii9gm6zWgdGis/Bvu1jm//v6sU19SORbWJw/fOiZpBmG/Yz/xp6NkZCvXqjRdXzh7btKmvwnzyIuajq/SIFNTZcr4pUy+WI4sse1es2PC96aojzIkPVA+7ybTeZ7rFTLn/TFXjzcZu4DakazC3Yk/R8v2LueVrxH/UbHPXjJJPxquOMdgmn0oyakNJPRlpdnM6Cq7d6u66VL217K8RcpF2bLW1NNw1Nf/Oh/YswXXGrXtsWmA3w1rcuYDVDrd6nIu2B4YJynL/vp5Md+kHSa9uyzUeyhIZFase1thmjlObf3D017mhHflpNHo1n6MTqxnqctzO1+zY81+5Wf6tJJwbS9wLbL1jqVkxvxvyf+L/OReo1xGybmeyVH+RKGn1jox82cd5E8t+hsIV7+lrnct9hSR5sQNU+DrPJlhBvl8mmJZT+4GERbmCkmJGf71faet2qcR46vVYUG8WnzkcLuXyUqMF5unfAoW1eWxHJppz0DR7yWm+Q93v4f5mLymGQmo62bAnq9ni+mI2yq5YbLHDNPX1QppZQg3dDXUk99S8sUp5aPdftd1hL/Yux0Oc0h2pNnfqdNXiEZUQtJT2XTUmyFojs1OuitpdcgL+W5NR1VORfMqgrM7vB0zdtXi8FB1P36f+rXFTuHJ2++Uz8arhlr0G236C7nf2pmvtZPa/Xb3J4vvZaXr+3NV9taN0yKFKLp9uGReiBkfVnHW20XOduaiEkKdW6gBKVj+Y6H7W23onwXlGO2FsnkZSuXsTh9079nSB85v8iF6Xbxujd69XWeZzdF1S3zdSDkO+cG1LPcCarg+g1b72k2t96fVd729D6XUSdWRS/GWutTU+ekQMjJWz9WUc38luN3pzbvfHSmzh0Qq1Amo/mO8owEoLL6vI343ao2/B0t8q+zDf8p3OR2idGPdXU78anOYjzFVSs6P/OJ2V6inrvezSUhgDuHY9GJL1taN2ozw6vU+vp+skZYR0Q8/m+MfgA94EzcphSmo+I+9224xZvxqG2pVEzTunOJ5+eAP1v5iL13qDeOVq9zqN+nPjOyUG6u//Sx7ABhhTt1xZRIr0UR+pJGXJ1DxG+KX7doN7xaKjd53PMvUQybx8Wqd2K8AMj/bOOEwxmg2/tMN0fl5D/asrNg5fasQTza5JNvZZjtWxjOZ6sjqjnCNlWTP7WeLRw1dX/sVykfxMm20/Bua8wwinqaj2ru/kZf0salBEvQuXmFag4F6Dwt8Uura4bs2xoXRfIj1DDoiShDIzU18x8jopQK6P8JLhdN6RorXv8on9N0qrvOvnQ8wtz5F4m+jtMLxPvtNGAi0nr+f9KLjL7UamtFrgDocxbgsv2W90vK5C+kdlhUy86m3RFI2fwZd3Q2mp/Du68VqqcZ2URVVA/69h9Jl82HSWkX5NEtTITUjdheqElciHBSw2nRtMPzI5+fS56ZG8DTtK7MUL/WEVVN6gHTh/oBisbykk1kBPYqYJiMVtIhF/RWMVW787jMoyaasbmmBkWMSeinu+737etkoXLrt+ZhLXctVc1IF922iPAga0WWhIe3N1PeqOBsAOk781F2Q4vepcENSXk8D/ldLYIbfeZ4SmFaFM2+9YLPbDWC4m4i20cG1o3G5Yeo1MMOmmVZu7LqciMj17cycvJJZVa4XneTMg/l1RDcB2oifKFvmHDjQjTjQZmWGmXTfz5b8xFD7XJpnphebZW+5R1ux0r/PQ4bdRtMnIMWyj14W/69RX0rixt9esE/aBQi2NcG1pb1Qi3XsibuaqZrs/3S6y7fvuOc69aIjQKnTa8bWA1Dv8O+hYMmY8S9R7deLo5Sbatwac8/K5clP5iu9plZyu4v4XOQ3IvLZaO9V5I3/5W+wd2noMlM1Wbxa6IP3JYseHc0LoiY4qEKWn6wEiZOSLWWho2UCmdw8cNOCAYU5dteCu7+KhAVxlmNEPfA9x/15PJ+lfi7qMgYPv7LblIbxydbV8vNBRKnRHIyTbHdzqXrgEPtHKoQTTdGo0/Gn2sppTkSXpUzxgY6ef78G4ljeaDh1e1f2XXDUbqBv7UYsj1STLDGfw/tR/KHP0iinrOp24cPVHJSPU/F6VjIQ9btt7V4DNAsjd9L1Mqptd9f0lZ2arHZugdiawAwIbWVnnShM4Fsyjy3cxN4Pl+iarHjCKTUCXi83fF/PW2EsJdoM2U3xWV2dbbjGqfc5F6h0/98JSPH9F4nNIkH+Im2H0d0GuyhxvooTXdAKiRTtF2SoH3BW51Y0kD+85rroBaFVmCm4J6vi93Kbx+1aS+wAv9hl6SXPWvt3nKAXo33Qk+weh1B4tDp8ug2rJquae5SL0Blv5kuYe9DV5ntch15f3mt+pkifLfQQ/jpPbiIjN6/S7GG8rdlcUCuKG1RZ7wymumjVwW+W5K6Pl+AfzYq+Gj8I2VnsxeIn7AoOBA+ns/LsdL3F7AClcvE/eRGnuXi9QTarWywdeGBumYlPVzxaS+lRVOV4Zgl87Kms7RJO48brMldfCB2yOt0mLEW7QV6WpRzWOJ3lqp12KWXd8zqfLT5Zd66Q+5e3hTtf2Y+GMD+pU8fPZqN68l+pSLshXo7F8nb2swba6uDS1QvZqlTlfM8meLOxOVmZHdjemh2b6zUaNx7IGRwrlOF6J3Hnrfgq4jyUbz1GG6w6TwHWBpRe2IMtmiH9zp53wzie3lCvs9yUXZy5zqJ4BFL4eikWqJsJp1m+Jvio3iJ0vqtkwtBJHZsp3bjpt+26z77ca1ZUNrKz3MnvoNRf7ASAEdx1vZlK9n2LA/PtBoCHD4t5tM+L9tCwDrKjXeGRN++0Rx6fjLTRU+PchF6Y4F/tKQ+sbbqbegvT6NrDhUppgukA245NXO+rGf4vfPt0OkZ0mrGw1O+28NGdm89Md7lJZrSz7fzyFVLl8SX055a9T7iZveT7zj7N07an6GuCNeykVkpPbZXKT2PVVzQz5fh9cDovneV7c5+7NLRbrj3/xTT8tK5k/9PEjEce0bWpdGq4WWH6euipryom07WiNqK93mM5EmV7DVGvXxTn64r3/eQKZ7KlyLokpHlO0rdToS+GmCz+Wi9MGQ2lxFdlhceDP9+30DouylONmdR2suwR6o2WqhzQuftNWNhuCE82WL2I/WWLCVRJ/v5wbuu/Fcdg1kCuw1Hen7S0J+USvPOt/LfyQXpd/86g6E+lzFdu24zunfRP+uAVH6Uhx2YwdXs0XO/6mfnZaKHbWhNY/TccnSa92nvw31tR/v22To9efleMPJrS2WaD/+1ALWrL6pFPqLHyqoZxzdlnnCuehg/dWEPXIcbJV7++a3SjXdQjxWa8PUDBHejUR4oviu/QlSusJeevVQm93S87VuVpNE9bXVbTC5N6xij8WsEYF/p9pWplYtjfgakTNC2p72gdHt1PKm52PV9nttmqCTua5MktK52aHeYWUyOyIuyTfFAqDx9/GXPVIgrIVvoVy7DDJrlyVl3aZa5jkhvCHcbCmci5arhgPSw+WmcnbtvmTm64qcLqpFUu+/VVdDayhwDtNVGIKPGoEGIunNqv5611HjoYnaYVR+SqHFblJ63nSzvpqa21+0wSSZh2xi7xtar/6Nx4OFcYJNK609jhpea+8H1R4l1DYwmgxGo8HWMLCVrjPw+X5Kxck8AyydW8G/rkb54AhoTNaKipa1+PszGJRDAuxruW2UbdGu1m1S3vO7b8cr7KqApos4uajmnLeEY2rrVXqZoeRv1Bk7ldLjV69OFb33q7eiYgtdBC4BtVWN3iRAPg9pcoDdOvciF51X4/X7hdQKk3noXew+f49o3TV/AzPcftfKqL3URhV1kqh+UEItv3ed7NVw4jh4b2bdGvh8P6XiYl7HaRw9VWTrUTLcGLg2hbz+3k0uUmcumNdyWygXl0GDc3JeTA6v5knn8et3NjX96xSzVJS56DyfLPQjhN3vcZpi7SfTX81u93uYZODH2Xipo2avTBVih+FosShif6OfXuqRntKZrioOT59mzXf6ZGEn0fhaVqMlOXSBqs6kn/L4upxMN3pMqpGnZ6WcbiZRgqXSt736tZhiM4tC40814amfrpy2yU2hrAqy6hei8sMS5Twfzw45+YJorYEFqN7rXYsWfwrhArJAzlqhL4HnSl2CuaFzOl48btNfNFZvdeSoVaYFUAZQSKgjAbu7HDTzfNHNifpyzSaJcvJlZ842xQWQKZYXRM4799Bsk184JXztBfiqS4YlBZUvc/DSXNbEw6rhtVo/FCbqf/fHVGhxLBzduFoq0pVsWDlbLT6341l2zZUXYXGVZlRMe4vrJ7vqc5BqkJQe0408T0e7XTVqqlZVOW+FukyruOaaL8VruUivylZrK+EUWzq7vI7LthWXQbWbSkvJbT3e6egrPhVmWW4o1LKg/luNdcZvfEqj1TxSlSly0fHf/rL9p+7tZ8PleTe4JPt/h/NsqAJ5Nlyc97rdh3/78/xH2dBpuxD7U3m+nJhJJ/0Wqc78dC5yUfE0azZUJ0s725/jea7xNVoBXaAWDMvj/f5ynuq1I/rMZrBandf/nkkJpirUbwzX1owWGo/BPTkNlOp8k/ysL+etGYPkhyXKcbC9/G6UCU2+OFtrYAGqvlhT0fxPKVxYqBtSUXUfqVYWkI/Bn7pb/Rku85dRctQq0wIod4SYXYX3U+6sqj2fd7NeSVSsysvJVzozvwByMuUFkbPKPVT2VSb2V8362mzp++dBX2f5pwQrzWU+Hd8bXqv1Q6Fd/ztfp0J/k8LR9aulInxrHRcpYXVBKa+YS728SjMqZXsr1vSFk3+qQdJo5HI7Gk1N1BQapWLe1Apu5Zo30o1cpCqeR/jZV8mjvJ6KRpTRbrrJGNKlx3a8Uekx+1SY5ZdGrlYG9X0z2j4L8fxvYbQI9iI/lGJFLkqv0NVSeX6i6mbr9JJ9/dN5ZaRObMbqatIzQ8NtnotysRpgeT3NlHgqpyZvynXi6cnSzj81HHr95LmogC6Ma239qR0/BzpVartDnZV+frOwUqRdU0SpxuiQrFeDV/LvfB+U3tTgxWFJ6Sf7us7Il2f1RVX9pKC5aP6nJJJDFsi52mxzTRuYQ76uk/FosVK5tPLRqIZpya0hkXSxqzpEufv0rxxu65ZpTo+fcWWGsiBvOrO4AIrmVI8178xDtb56bRvTvwVqchsM/um7lCZYaS5t4mGtRkw1r9UutEK7/lfxSKmsyr6rXS0V4cmscuAunicr1byyYcVVmlkxp3VyT0MnvepzOM2kEClDqGjkazKeul6eLVpRXlT1a96wfc9Fqk6vk3c++yp5aJD0Oi4Yao/paC+7yZgpSs/duEgvxr/5pVColUGt4Lfv2SgzWndjAa/+5rnoNlhvt1sdhSoNJcl6cVfDCXWgc5H6l1wGr7tOBclqnueiTCw7UOfTT+HqDCSZz1fVyRuNXNq5pfg6OJTvS+jceIFXkNEtm6k5T/Wlk0qkUwnjfQ42qlkpdEuN9SIZXSbnq0pH41FteXt2WKGUfV2nJsqztRgoQG+pL1RrMg0jnFuoG5pN0uhLpdaT4Wiu81Dq1oxsgVph2qBaSPDtpn17VnmoYjfz/GWlfsuy8Jr+W7RBf/Wkg9z8Aihkigui7BQdduWFk0qpDa3LjJerlS553LZq2F18SrDi2kmb+BrfVQQar2n2mZVCz/ZXSaRC559V9WLOr5aKxmL8rBy5itrpo5/Vq7goy6s0s1KcNp2fninQNJNC5K2RCuFvXcxjFxr536IVDdz3VlhzkQJRHbq2L9gseRTXU8HQRHvZTQ1W+lBlo73u1gqz4tLI1ExQp+LbTFyX9Sc32nBjVpf+n+eiv8Fmpz4qO+rb9GQ9v6VjiPRS1FfadfDMDK3VN0rq5kzMlYtU7Xk9HJd3b9qWRi7tGNoKrYTOjWvp9FMeT+aX222gvk/TM9Otqh3vNdhqOpzWrGSKSVJqnH4e/16b9U6NpV7Hxb+RuUfLDktKf2l6zE2UZ7MLL0ctQHPRQsMI5xbqhmbTf/qr82+wmKmw37wSNQK6D8zlUqBWmDaoFhJMu0XfNuwqz5//6a9R3c3mk5MvkkN2vaoLoJBII0wfF6z09VBeOKr0XE/e5y2qLpmb3FeCFebSJu51IBdey9lnVgoStr9KIhX6+5lXL+b8ajEai9HDHLhLWfPmajdDJbOem6s0s1Jcm6bz0zMFnmZSiLw1MkV4HiYL9e3a/JStqIfkWysSVy5SHaBn7sr+MgZKHkXPFQxNtFe7ySgWpcda/8hlpcW65/WlkKmZoM4UHuvqlGFutAz2WmRphTwXPXWcp5/cfy89CElG6iKd6fHs8V+SnVGzzylG4eYaYOqvidZZq4nQ3/TCyFD1/1qltPNKDebzRSV0iZprFcd6KkWNnhq56DlYKisWnytto/EcqPx5Gc+2KeZrrK+s8qMOS0pFITVaHNSSbQma1xZCxd8UNrdQMaTuNv7t1KzZz7x4wrefbPS9ZvapoFaZJgahIpF2U2Gv+Jvi2O2qwU1FqmZXjVvnYz2qTrs5J5P90VimM/MLoJAoLoiSVdbPRV8lZ9crpmWD5hox+xRgpTnN9jVWyUJ7rcq+cTUVAJW/RRQ/ByOV7/Un5dSM4uVQobd/iuZdR3oBuMpF5VWaXfNFe4170zMFsKZbiLw1sogaNQf8tuTItKIWks1WqND9LWxZ/qph1zobtFcqCx5F00qGJtqVdNlNFc2yqH7k8l5pceXSUGomqAv522JesCiMNtxYSKq/eS5KliOlc1Nj58J/i8kzOQx0XlEXx0Mv9liqK+RXf51X3Zysp8+849Ws0kjNJyud02i0U/2t5SqfFLm0sxpdH2s9H6WlCujCeKFVHL8Gh+SliVSvruV8NFSENen3j9FIJoOduo7UbOVDST7NErrisKSUFq6ZCeOQSgMNaC6a/ymFc8gCOac1W58WQzWMKw2p9JDmgKzeoJZMG1SNBM3uJvn72SrvFn1bs3tZDdXwpezm0oUF+aIzzQVQNCe/IEpWmYfyvnosrW90FahqR8DXUfVm8SmvrtKcYrvXz4MUXo19pR8K5cZfdSVlQks9q1lezI0oXv073243+zdYFbBs3ky9m/VUuai8SjMrxbVp3JueKSCqQfLeyLIx6pGTDpXKx7Si6LYUt9GKl7pN2N/qmhUQVXwd3hYGFTzKpr1Fe9FNdajakdomuLygCsBCrQxqo1Guuy+NFsHezA9lLnqtBj//ftSXZOHix2TwM8umCyY/g5nKN8+pEtGTCFU3J/fpv3zWREmMB/8W8+l4mQ5rm7ZS5NLOa/nvZ7NQKU6jFdCF8aIp5fFhMPy31/MH6RnVL/ftcHopwQr5yt9SI9no/Dn9p67On8FwsCgzZ3FYorwWg5/BPDORlGerDSxBc9H8TymcQxbIKZ3bfjRcna4/m1JKnV6aGWT1FLFoXMm0SbWUINjNfHWz21W/oTNPx61lN5euK8innVm7AHKR2Sq/IApWmYeyvpqm91olWFkoUKeDwaCY8deVJVhpTjVx+E9Fvsarsq/2QwlbK6grKRN6LX4qF3MjihUB9dnWNK0HRfNmG/XTkvq2srhKMyvltVleKemZAqoaJO+NrDRGPaGqjWBMK2oh2WjFJW2F+iqHPs1hV8mjaNpbtBfdBKE+FvNlkSzyS6FQK4O6ov9czbJpkcJo6UbtouqnGBepPNrMsvcMQnk4LyWP1t/guKs1V5Wn5lVLRblqRz05yj9t0K+a6esy/zapghVQ+d+6RnbyUf8+LA5LlGfVB+XZCrABzUULjUI4hyyQr5vJtLI7VSGVzcGUuAa1PKV8Xf3qNhI4uwYnLdXt6h2Zd+W0WdG5RqUwfS+/dmsy5oIwrHJlaEPrHLVwmDFXgJfmtpU1YFqsZG902kqrbcm9TdRdX2nefTFTQzVXALQRNB5LykZWzL4O46X6unz/tOG+azTP3NRKn/LLV1fmzq40LVcpeqHo/CZS9fgwvmSBYhpWUTNBnev85j8SXBp1BLvJRVVj1bKyh/78LdErNP+Ot7/lT81PWDPn2Qy6VcbC+JZLVxpYdym/H/Npct8UGvip3b9Nx1cY3RcEfUPrBsH08Klnizp+7uPsymJdX1bb6vk+m5bbY4Wp3+ncOtVQ1PP/3jf1ZYp8pIrmNZ+TbjbMEdS3STnmqIC8Fdtz0WL3ptQ48Vhkn/Nygs8Rt9lo9P6KQIZcAFo7/9S120D0RtMQfKwayVNtEzCezrVj3lsxGekZ4/YPnanGdGtNRge1an2fsrLxAhmVsK4L4jazNNUBWYLV69PB2m5bP8k6yl/4KqZ/Ia9g8Q+NIYZVz9owl8eqCOoL1vJQrSqhy1b4plDjWN0E1sdGjXrO4WOaZpdmw1xB/Zy1JhHFoj0XtVN9nfVH7XeCz0QwaAZ4Ll7nqAqfJgs9WO7yAdAdsFQNvTH5+vxM3WJthcNO8zTVbqbv1lIrT9QOzO76pv3acZsaaUNrB5gegksMi1TQZgOjZdkEh8WyHlHInmjDgh3MXOZTkzodVnjwj414NsqTUVI8JXPwLU4/Z3qiWU0AFidsfyVykcatLyWwWZI4d56m78xJQHnDeBzVT316GnB3Ia1fuHauyO0CnOqqVz6q81tMPP0sXmRYpJ7p6ov/NWQScaipJ9pgNDnUsKevi/ZshMWqy6k0KjVQyIEfeqWRcnPdjvPoOU3tg+LdclEx46Z+X0p8GFg2qzCS/M0Jv65eqgctqERE2bo8HDe1l5f0DwiqUC+GqG+vfPAa9hiehIZFemCkcuNBOBclya96vl80zixmKc50/nudmzu193v7LvC3RfmjS2UDuuAl97EOzBEW4z7WFwso3ikXHfI0ofbllGmfrWGFEbXDVesQ1qYf7txTJ6IiPMOZbbek9jjt9AMZLgvFLlHMDa3fYG/DZbLdpqe7X0+bnVrJIZ6LkurPOqJmZN9aCZ+4zOb5JXTDTSrCcJXay3SZPTz9k4mjs1qB+DcsRwoVS9bipVW8Sy56ZFlOPe9EE7KyBE/mRvzs/AlaplWqH1bt5a2ZehnHy97vyjt51zzX5N8xc7j2Mh7d9XDmeSTsl2PBOuu3gtTA6DWUz0XqsfiyGGEcZYK60YLzdJndCFZeV2qIMA+P451yjBqdyMTrdpkch/h8vF20iHfJRcuxbpjMg1yNZP0s0pclLpK/eG61QzxZ/97We8esEI9BiEZ44jVqekjki9g67Rq1sDa9wHlka1q/48lym/wtGT/rWMNJTurdoNd2d/CSi9Tbp/kI45ned9RNSxzlN4KTuQRYFeO5SbdPmOUrHqpVtPI1zZaz36V+i6v9k4sfV2rg6/50yEXn4UxNjNN/mdhNxlJz1uzVDwz37Nbnms7E5XzVpuNL/U3cj0+VmrchkW6qvqNKHK988FyxH4+Gm/Fwkt1K8DAyrft0OJyN1H9dQADdfISx7hzUdhvZjeBqKHyXpoz9TdUviW/AlGCnVD/72o8my/1xPB6m45F65fsRTpyfi17j4SbZd/4KeydePaOMHNR8YfZAsFrx2fLVbDoh8WMsko25lNQeHodEmvFsuBfuGpWH1GclkdZf65HG8pWLkuxnHf/SnbQku6/AUrOjF5Wau2flArD8q+5jfqfD6ndpWUUpPFbDoUpFQ+TC1Mc6E4e2SODnos10eJgvazcElLbgZDej4Xkx99AjOPMOqWsxMm3bSM+h7/H0ZbjO0NWDM/Oehw+D5+HkKNw1S52LpMYCpzQZ+Wh5hpn+rONEv4Xr53OdzidD8bs0xfU+n6lNtLrH1G2mkz16FUK7ODsX/enrZrY/+1xvkfzp68m3EfKldB1lTw/aNxgmQ3dVuAxTanotkZd51Qo/NTwfS+WNHHY2Go7lrqf7RF09FcLiRfX4eD8c+ps92A6HyAX6lKbdjunwcyow+jyrHJC+s4uzf2kRZ+eimboZH6ZfPR4X9mkbQzWJMBx6NIJzpJFSqUhN2qrNPMV+z9Bgdyxdh6Op2txq5WEtUZOZisLhdKN+OUDwMx7OBSKkJPRajbzmIvWDCsoJxV5JpVmZwu2otgBV6N3HL1U+fxuNqQNqko+fq7X08m5IGrqpiwYY6ZFz0f2aeuegHTUcz3cyjwcbXiiMpLnOl5GGzZbDnJKK9NFwdNCbnMuuRWsxD1Ubaio9qDfOZv6WVyeFrafufv1x7JQK8bXXKeTRzl7FPvs7KgmzMVyKareD7LtYPcFRn8IxLnHS+TRlZP7NYlcQ/bpV+37pjksHzl2BXwuSi19LQJyWi9QqH9UK9RD3oTZL3XpJQ2o17y41sldGJsVPZZB6Ul64pJSmIuWCzi/FiXGsUtOX2NC+/YSIvbL71UbY6g5Nvdy8F7oGKq0QYZqDvNLbER/vBNz1AGM6m03VtbpPKo6Roq/GRdPheKpfo/bgnL/dYjK6SwCrvZ2UJ9AuhsRJuegxHS6Pl+NyOBUdmte7L4iRusm2I0PpoUZF6jNRvwrleda+jVNe/0ZN7Q7gi1rF1mM0257lBoYVZGS7UWKeYAvX3y6/+81SbdB/KeNCziWpETW3MxtdfaH/CQATXQyKU3LRazq+vPTnMpaY+bJfTkGM2E27zlYo6enQ4uP4sQUXipfzIalVbE1lY66KLDhh5An2rSP92nlOPEWdBG0iBixOyUX7YZaKVDKq/PLnW9d0O7GrGOnJsqIeUip8HJKav+731ApPsIXvy7/+HKNNeGuFBDARAxan5KLxKh0V6f+y1z/K3hAsjJcBjND49pBS0YCQ1Px1v6dWeIItfF/+9ecYbcJbKySAiRiwOCEX3Ye/ZZr4Hco+ayz7NYiR0hqq0ENKBe+Q1PzZ8oTsCbbwffnXrx1v6BLARIwWcXQuehzXw3OZi87Dtf45PPlPECM02j2kVDQgJDV/tjwhe4ItfF/+9WvHG7oEMBGjIX5szDoic9Fpe7zfauOiW5mXRAtBjNAY95BS0YCQ1PzZ8oTsCbbwffnXrx1v6BLARIyG+P24rb0cgMpFf5s/5fln7W7vWfaFaCGIERrjHlIqGhCSmj9bnpA9wRa+L//6teMNXQKYiPEurjJLea+L2nv/eMz8Xp0F3463j7I3JAtVIztJYD5WDykVjQlJzZ8tT8ieYAvfl3/92vGGLgFMxLCIH807jYhx0bF4kv+orC963NfjvY+xUdXIvezujxaqlPwkYHbzQlLzZ+tevbDYvnhT9Ee4bsqvHW/oEsBEDJv4pdwZsj0XncyM9a1cqKlni27q59A8ZCNj5G9yqnf6p44MJU+zZPyGhaTmy9bvxKwAFnWwL8LN7vJrxxu6BDARwyZ+LiaNWnPRs3qjpLbnUquO1e9HZ72hfrWgGDM1u6fDsTHyN6ka7wDZVTWntJ1cuyKJ6xtviUO/AT70S1im+9/qWSeem+nfy1MrbqPa9crih1G6pnaGnqYtPDnnJeL1h9rZhHBN2Nqyy1+nas1F+8Zdye1S/eo6TZbVQ0y/YWQKI/f5ysPIC8PgTSaldBr35LaxRu92UdEc5LPZFj3Tam6XTzK2Cd7VJsWpDBq5DbFSv928fMBWLKTFx/RX2/HYC7fLxE8X34Zd4/c8p7n4NqllEOXAR/5+RXsuajq+fvzc+5rETu08V/NeRf9h1kjNdW986mhlVqH6pHAnpOLFGsXkot7w9vah8O1CYpW1VW167u/jq4uHXSnviPcu58WbRWQuOrfelahJbORX4BsHzIndpGvixlhBy6yXfRmoVSnvt9Ujb+WNuJlD/t6nH8pqWBTic5hl18TWY1p9UUMe2/DOuWhOnKY5vn9JXbNfqmkbF2Hcq6aNWjMW1jXvckevl+u7PfjMcyEej7BBVK3luwalRxNyDDO2x/1kenrtJjP9lOOynKjfj3q9dofXa3s8TKbqr+vzXM98ftE8CMM4F0XE+b9x3ghLlCHUkSIn854mUgMn1jUXPUfEL2dbxs4GRhK56PX6HevLz9PnMvY59qWSfkzC3A+ReN3HJHGm8NaehtXD1dN6sFyeVv/U/fRud/6dTl+v+er1mg4Xv9uBeQ7bsOt7NnD3/g3cYCBxqCeLss9lLoHnwPhTPvXx6ZqLyI223WxK5qLXY+PxRu1vDHy3+ugfEPNv7HEQCFoGKkf+vgpKq45h0Ws6USJDFSrPn/xm/T74y3KRrpmppGT9+H5K+izGK1brYifzySKF9xiJgb4Dkccf7xDWM11zEfnecW4JH9Fc9Hr9zed+ZvqVB+9T+zey1bneT57DDP1J7aDetJPAc2HX7MtUDz8mG/Wf2nz4dd9Mx+PBKctFumblGC2cfA93D64kqEjJfX6n5h5F7drq7+PpKV3XXDR3DnsdrrBFj3Auer2O463pFgcR5unHfO0LmsFon89VMlR9qWz8jxydsy/TjWpV+m2hc9Fkdrr+DX6zXKRrHLlo7+khtbKYfZ5BFoPdxpVvYK/fCJ6e0nXMRU/qiPxpGzyK56KX+q1LapIsLpy2v8/lokfJyAzL23iHqj+svVtyzr7UcpG+PXu15yI1a+1zDKGd8fv+7FjeR89ZfluaQq+rB9LGbHO+AjY65qLrjMjBOu8ln4ter/Nk5ekSe67nAaZEkH59Tn1edEgSNTHyDGJNG3Pgnn2p5aLnQP1+y6xtXPRY+F8aMfX1vVj11nZZPfK6tOLXzy1nx1y031QdgChbH/n6yEWv53ZcPFVA8CKJbL1/k+Lp3Hq1zkDx9jptmvrlUIu6qqtquei1H/z82/2D79FuU2938yWxM/ULu9QkFC71yY9fp48ImC5R8gjEBVQ/3zEXke8crQsfvOQiNT6fLTwNjfZTT8D1zkEdnSf94ZISrgcFqg0kIfzsy+PaNoC9hnguOvf1nVhx26MxJ+EpXWQWPX3ddMxF5OtuZ1ux6CkXvdRbIZ7uYA49WoK9m/do/kpdrAvPdySCsy9n3w/QdOxeJwH6Z7XRpszHU7rIDZDD3hADSt1y0W0CQFurbMuLXr5ykceh0bH60MLa0mAn+7b+2veDNLnZl2OQ9Vkr29ev8NVxqjzOz6D9pIucNvnpOaq53XLRkTyJZX3WiMtFqz3nsxgtOWqtOqvRplUmkMBuxHONJ3rLmSfgDFZtnCf0WYy2QkgQzHa0g6pF6rbvF+NkLYJsB5l5iamh3RjyLJ2TtftX6Uazre+AmO1oKaWb2gmCIo+VPY89/no2lkQm9zf20kIaiVL6Oi+LPgqLYr+rruDbWZDf/t5tuxJt119m3+ZVwfVv9Ui4fNwKA6Zww06gM3I4Wu3hxkXv/kZy34+zl2+R4lixy7iyWTdWyY/cceYHl4X6HLHUkEq3CVKwTWy9EPyNarexV4DviV9L9+93bk6day6LzhAWAGtusMhZT73IV93DeiV5zkXJn3o3wNqAbid7lIxW225NEdUe+xxvrMs9iTtxfi2zwXgnEIzyr387D9sI/eTT7t0axhh3QDKdctGVnB7/rON337koeaktWSEvMOuuvRkZvaZehn48v8x9+Dqn8hiLfKu85mte28haU4/OyMksben5zzJWIpN3KnRKGy7UTqD0caA9W3vPRUlymfgYs/YnGd0C3Aq4rqHm+c2xeUbuWGb25TnbylECka5eU0Jq2naHliR+75Sn5MkZ0EtZZadctCR/GR+sGSFALkqey7mHCd7+3KYdrSNOxBUgL+JnZjPl+RrfBfg+ptkVJwDVBrH0OYWcGldvxFhJeL1TXpEj38qxfrJTLqI3d2v9ygyRi5LkOJZ6AlNx4cVxJVREAhWX1jQfyHjNjJ+ZzdTE77JmiXfwmNpuanhYLVpCt5SQlZUjr858PlnZ+fBgl1zEmMGy59MwuSi5qdeVoF5l1akthFh64krq1QhxTB6g/QEFD6uhNRNo431i/UJsWJI53Hn/gji7bgJXHr55S6f8bsqiXKFLLrJP/oDc7Mk6UC5KXmp7CJAep/I0kcfk8EjUuwYsPXmlkXzKz0hKzL7cJ95vm4xHvc/ivSb2O7Qk8TJ0KVpGf2pVaAJ/u+SiLX2gZr+rC5WLkuTXw33aaeJhIgroMmfVzudjXKdVSwV92ZkFxHZq1T2N3Cc+xwsN0ieJW8oGZv1ws60fmyMvQ5cC3svQt0suYjy7tZsLl4u83Kcdpz0ZkMy6h2pxsXX66+v2QGD2JWgqSuaXTn5sV75OnENQL0OXkpGPoa89OZQmwQKdjyOdBsxF+j5NfBiznzmvCNCB0pV377cEOMb7rENxwgSp7rMvj5CjokRsjbjLR6+pO9k5Ys0FRTzvY+jbIRfdXLNm7mY5XlUKmYv08zSBCdB6GzfzfiSjnjzYZ0wk1v3pOOqcasOmomRDn8RwtNxxeg+t2OwQ2g5zldP2h1AVAUaxA2HGDenJ7ruwuSi5jo8MT4EqK+8TA6D5snLh++ovLUEFxrcUBFfUdZ59eUwDzhUlyWvk+d79bp9+zf3l9ZmKj5nxDrloQ5+dsC91TALnouQxE38/bWHPskUYhfqrfiEjlCnADv09RQDMVM07LrBTP2VowAKUvL+KtgC/Uxfiw/+KzxgDkYq2vdghFzFuGe1LHYPnIg+TRq+595Uk9g5snP3txfLrzjdTjValh11nXx5TMHRtJrudm7knc7oB59rOpUVZPWOsgKflY2a8Qy4a4ZkXko67zNDjIkVHfNJI/SBH0cqP/rVsZROej5ev5G12mXBb8wy32jqj2DV3tjX0NYFXVtPfFm2zWKn3MTPOz0WcF4Hndu99IBfJTxqp3c8rffWxonUDidBsfHwld9wIKPzAddMtd7b22XYDizgmZ2EldC0/cThN8CGPLa6wmXSsCvxELtKTRjaK/HO3fryadqI/3uS32aHpmBd0SONOd5x9WTAuVxwxh1TH3OlANadv4MS1krPvz2MAupWm8hOT/FzE+e5zWPtILlKTRnPZ5xxnR6rt1ulkbdfLkmQgvsLZw2PFbrMv6+Br0js/9Wtx/7xtIt7HbZThtJSfDHNkB2PTWWJMXT/HdrTP5KIk2U9llz0ee7HmsQfP0u5Te0d3ONtt9mVL3vWvA9VM1fOaa8Twlx/biMY7HkMhNJ0ibL6c57audSefykXJyflmodNhYMXWw3gANGit7MGzNPZlZW2QPtlp5voDC+Pvju9dZwNpFW0T1xrNw22UIelhkyr2RcOZur44QvVjuUi92y471FyGnpUwF0elND9WDj5SlL9b7bJM4BMvDO63Xh2/R9xzenmaWbTqjCBQyCL/snMRZ7GTS+dzuSi5y65/e80+ngZUx3/+vTTxMDh1uMn6yDye8Ii7Ec4PTGrmzOg27LgPXfc4bo3WGnYu4mxq7Hpn8oO5KHnOMuutnsIJPIQHWjirTam9YwDalPN2LB4GC/6Ciesnnm9K7LQE9M4ac9G6wg3AxVdx5mha0Nm5yLFUCDTnukI/mYuSl+zrG7devIUx44cu2IPYSumH+g/+7Mtd/lVohBfWXsfHf+6tQircfoUXrVSgVbFtSUFdGnPEzkX0DUOSxPUc8KO5KElkf7XvNH1hHO9XBnex+uMgPZvAn315yd6EI13m+bXYOeodXx/vaZj227doNfX0EjcXsZ7auuh/OBclsr9mvJGf1aP3a9uiXDoiSUN6NoE/+7LYkogLCftdXHTCvXTIilG0Axzvc6H13wW5uYi1RY3r6cqnc1FyEF1oNO/Bxh2vT0ySmMtLeDaBP/uy+czMWYfpLeNEZwn7Kwvc4HYarlbI7xrCpcti4jL28VyUHCU3e3lgr5Vq10qXP7zICPOcB99kzoOSFP1Dq087TG8hnHLE5lf5KZ0KO9dD8YoIsehKD20wrqkfSM+17Dr8niHvLH8lk9GfbCS+s8Wcwc0pYJA4MpxHG2473KC6uEbiblMiNZx3NdGG8UNe2U5oEHQtFmyIEQ65uYjTyc5JhM+Pi5LkJHlT86Gv41q/31DPWmoqggdr1Owq0uCZubjoNrbvC4E0yxdj/CoF3hi4sWwNRn5KpwIvPxvFzEWsX+t2/p5oH3JRcpZMRmuvj1MrVwRQdP9cDaAkVSW6toX5uyLPT+3i4vX9jyd+0O3hnTFzfQhPCSpgZi5ybKJvmNpKzg1VepGLEsmfo+7D+uvnJ1c6Sa5teXLWj6gLcJFdV7ZL0e+5w9Yj/hYPLr3Kq94q7o1zHaVyxMxFrDfjnK7pRy4STUZ3yVFWpb8oxSPz1oZiwyUrubaFmdc+96Ly1OOt4YOQAlgPu109+naesVHHG0btBDMXuVZQ17CbB84hY09ykehtWstmxE3feDn+4Opryc1zeLtvnD72k97dtjdpuRIou0X63U1NfDaKmYtYM/TO+cy+5CLRZPTR6Zrsgr5OWi5sj9XMC8vCiPeA/DbyODixsKyc6v6TkhWwRvE+Jqzql/xCaPBQh86hxbso7gzzkmHdwTtf3u5NLkrOco/2X902IsR1X4vU8tgi4K9abvMc1uzL64M/hcBfJN7eHWvSOlpmdLfT0BKseRoImsf2zvrCdV6e/clFyS9nsYLdwfeP3SSUfEjfoqWWSMH5xUNGn3F+52v1uQeZN/lNLUufPSjDoiSRu5hLBqYg/c4h8zkabz9j56xbj3KReh1EbBPsT84d55fM5mO/2saaUTQXuimxbtGOH3xB2edvAVFmi5QLXS+AGu92KDmXC3IxeeMi5xMxkIbTVp9yUbKbE+7IwfYmS9KAGsbi1aL23OJBt2iJReSBsVXmRzdu8fgUjTgsSpY+t45xvkbRcmU4q535wamhK5yz0JCW+wuuV7kokdun/elz5gBytanbMSLZaHcoOReTUTEZa5hfU8lV30TCvPkLnJEtcZjLfo8PRYeXO9zQPDzW2M89putXLkrk5hrOH7xVyPr89akFj6zVsJbr1P0NZhHOT60/lYC1fdZUu7st1RrK2qJUT2xwWmVRlqVno3i5iPUYzb38rWe5KJkTv37K3nkrrLdvpwKfQL/ULcxL6nky4xbts7vZsabacc6nDosS5ipRHJtE7vFEZpCVi3jXmXvU3rdc9BTbCxDz0zHInueKfWoDE9aV9d5I+i3aZ3/FmzOOe2+19czT+fDHKq5OOt8AdSmQzrNmagALrCuGt12Aez1C33KR+iENqZ8qunz8F6WRmwAC1wivSmYEzwjtxUefGHjcLmS3pfaEe1qEimSTZ+1hZgPKz7FyEe+W2E29d7ko+RN7nQz1iw1AB3WvmnLW53Q3Sx/Q2GzSQ/vwwbfwVAsWUt9ib9544V/QL3RZ22kUyq1/3YOLVlWrACsX8daOuLX6l4vUAmyhZUYvuZXc1g5sP9nlp8Xa0Z0SMiN4cmh/+Lfh5HfSKB18ZOyjzprYLS22FHirDN2grFzEehvN+Ssg6nftU34DN8u0JpNqERKr3kl9vZ5xG6WLEX8H8rjg5d1YecY9DC5F2gsvcjDNf9tRPUp43HSf040yN8oOf0nfAbJyEXkOLW2MO4P1MRcly62jC6inP/hSWEb1VyqtklpOv7uywJO/ej98h5asvaVC1neaO+YszqaeYszlgSY4uYh5F+p8Ha2X46JE7Ie1Prf2uej5ySdeWec94Cgo53+pof3hOzT1C4aPRgvEDlk/LSK+r0etOZzkUQOoH3DgmNuiuIfbvRwXqYdpQiF8wP5uQ71r5I5+P0FAZARPDe0P36Elf94em/I2RfK78Fr4DpCTi9wLhcDwcZvqZy5KLlLz1x/c0yzrkU+8iyLxuhI1tD/+NrK/hc60zUKKQBTddrwALf8K3wG6E0Rp8a2wY80iA9dmT3NRshMaT3z6F6UTziOYt26nnuBcWg0bxCvt8akXXkrarJejSm2gQH0rNoeS/xGzKkfhO0DOBcOjAIzZ+5qLkvmx6np++eOLjD4xMBJYzDC9kXy+Yn1JkkzAwsD3LazYWktf55hCikzaOckJ3wFychFv023362j9nLvWPfAQmjL6+PT14QNbi3V/XYn4yvvF4yZmznisVfh7/4s6cZbTYk7t1hrlPhC+I+XkIvcktJt2kgDbwPV2XKSmjGQ2Mzow1qlBzqTWvXjLMKhmavLdFzvSlgW8PvXmnWk184fcDICrxP21St6boy4WzfPCd4CMXMRsH0C8v7ko2QolkQ+9iFFePcQNAUu9DoXuix1pW4Hhf0+1Q6NgVeboBQbVtawH+lqREd9aDfcRvgNkcAVutqAmAFP6Pc5FyVRma7xP/0QR8XYH6khsXffXlUaU93A+fh+cJN52uuavKuTdwyC7GJgCRiLUxBi5CBjg1KAbB8BPmPQ5F92E7m7mH9xqUPfEIrh94Ka8cWk4DmlP9D/+fMDDL2MUjtlvixL1r3uBMRXJIi88Vc/IRcyxNzB90OdclOxlHux/8rfK9GV0Cf5aXOedHUlTox9fN6F8TLuntAS36xT/kaTwEqAGQUb2aCBUDxlozAm6pXszhV7nomQm84rRp19L47xaWb1SyOV718dapAdxs+DjvneHkO4p39WdZzp8j/DW3ziZNCqE7hlyVEYuYqZaQK3fuUjoHacP/lZZ2tfH0I/1u26fQXpH/1M7xlWDk3ZPWdVsKa/434bujXpabKKqeat7XNCMXMRMhsCda79zUbKXeZbGW8Xv6jjyecZWXGQbdYWO86akDVI//ZxSt5z3S111n9mOnrQfaKxBMCdUahjuA9LI1Q2T19BzEffrDkhhPc9FydR9e9nqYCPw6YEReed2Q51XAr59MIBbwl6xH3n7t9kI8r5vTQDHMePnB0qk7g8zSyhLAZgDtki3naLnIu6DPMBS33PRVWbF44cHRsEf63f81iS82/X6xDsub6HVcRz4hlec6DLTx3yPvTDd8pfyddECpaqBDOFQZj6qhYZTfc9FyVrkR4o+PTCS2YHacVlYTnf71qTskvXpZe1p4zs/N7S4UJ/i7RaSgzEXAzqoNE/L3pXScxFv4/0EWq3d+1z0lNmK/8MDI39vSzWv0ewYWFFmV6idJSzq/dgPUtYIywamgSYtbTBqWYl7F9PEsR/LjrrouYh5hUFO6X0uSmS2ab2P7V0a6Oyrwxwoh2K34CTsF/KJN3/fHeJrdVGXWzRwCPDeBOoZwvcFApqei5guhwaL/c9FyUxk+nrJfziL6MtWEb8PeN/MMxfo5zj4O8qXzKj1jT/xhKeX0TrdoiXQ1AixfRZx2W0A6LmIuaYASqFfkItk9qO4dl3+Z7keCKf+wm7CD3V5O2v8TPBHdop7a4CvRwOdbtGSBO/Gtxa1n4AmXtq1mxL0XAQ8m2+CV4+hW8svyEXJQmRIM5d507bqWEpZeIPiFtOdvjUJCwd78RAtgS7wFkeB1cT95JpYXrtcdtRFzkVc89BCh2/IRTeR5/qsH5ZpXl78Y8IcDN9IqdnpWxP/iMTjT5KVTUEUhDc5LCx2u0VLEuZtTGG+5S85fUB4ZDDuW0bAliH93dex6jmZ98A/+x3ubVOLqqPKMvdrKwXAv0g1+8xvdJfNzAuE5VBNVeh413E5ScdFXhA1VSc66iLnImgOGiIOLUb/hnGR2m9WYovHLmtoIfci6zwFjMN6l7kK9Ezwh+fgiqZ3SrwFiOVvx1u0BJ/TLcZbT4mOusi5iLtIBXqG8xW5KBEZGD27xGfrpdEqgL/zaYVCCHT41sTPBHd4cRTRBLSIp5WOXW/REiju0I1zCoqOusi5CLrXclJWFVB+/o5cJLNsen2EvOS7jnuHzeMFbM3QBnjCvo8sM1xto9Ne320xlRO/85cHdD/itIqugKIaDVIIknMRN89CGfQ7clEismz6w7cUHd9XLS4b3F9gy6o2AHQIdZ1PaSOCrWfu6tUGz97ougD2lCNzeObC54Jc/S85F3GvL+g78ktyUefxcur6Tsto653HONoTXn5nwNdVOryQBn111Yyg55VqWvIHnpJ851v6bgtO2/yE/spoA9L15FzEna2C+upLclEiMjXx2dnrW8itZjt8a2JXsXF/rAcTGxQZT1PX3Weh0De7lNaWsqKjLnIuwl4kJd28AM1jfksu+pNYNs3/TYemS1nHE8pva7AsGCX+cib00qRlD7aW1Q0mLM00/mkv8T1YYHdb/F6guP6KjrrIuYiskDcDymHfkosSkaUsnacAXBcG6vwmYPDyJ16xEdRly0OUu7BCokFpjHZfg9F9ZGXYvJdER13U1ML+GRLoxvdrctEv9unOe6+ZMyIgBo5YYm4/RbSSiXPXfyQJ9iWsz97wVpzS4Xa0gtIssqPNAPld3kraB9iQspeouQja+sNuIT8LGfqaXCTyU9CkPeVBn3IqXwH3LTmzf84J+6z4sw8CKv7H7ypQUWotCgw7/O5TI3prCqUIm6uwg+emLji39zW5KBH5KWhPj3+bLncco59QOfQJp/n3B8gfBMOviCSwZon6+TmidfcXsinbY9JbLvNoObdLzUXcYTc42vyeXCTie4FvO/pVU2rwJ3FKCGyBPdcPfnNVrPN/T7UCIlFEz7XTjAksWHhRI5zE8DEiicPCVKbch3jggt/vyUUis9d+v6rg/lZPfMI91WffH2AHVN2ndtu8hazn341CBkQy3NDng1PRTEfNRdw5OnCe6Ytykchkqa8fr4Gua1Mn8o6vgQNKT+rVVWAhn0r15xaN+xVdNNj+V+Q5w/huB5c5O5R4YTynQr1auEtpwW/jL8pFIquDjhuZC4GHsgy3xwb3SkUu5w14u9niau6bUTAs0g0wiN9dakYP2DqllpqLuDOf4FYjX5SLkrnAxtciCY3SyzXZQ7jXQLhXKvIxmp+HVzVnIQ+4YQHDi6D6vY9FPmSA25nXUnMR9xUQcLj5TblIZEwDvRCD6rYuQn/sJ+1kq9z7A9xVhp3hJtOmK0BvFdDRCg1oTV4h0/pX4svTbURyUQU1F3GdDu4G/E25SGRM42k/UvclU6uZ1I58HnCvVFwQ+pkwZvmDGkYoI+DzHhSCFmL+bg8SX3JoSnUi7ip5bwg4G/lNuSiR8D44Snx3nvCZmdfZzCpZpq+Q+Z77HKXKUKYskzWaXMDv76aw89jvajbJF5qouYgqX7gI2nr/O/a7LlqCfT2hkLf9/exT/XCvpDG/k5GP9Ltuv2rrGd457gpg2JpMrvU7BpfMdMTcAi5ZhDwLbgf5VeMiZKBAzlC/zvAH13utBceoopaZT11xBJGjJ9EGOcDAb1qHTvtp5qiyAbz1+qhCMtMRcxF7MAo+nvyqXCTy63eSXdi49toPwbVe7eoECWYzwYulNP/Z5eslDV2QGcHUINUBdz6kjgOOAuqijCPJTEfMReAyIagpYG99Vy5i3njUvMN9laYGwj6QXLgPksAllTcI3CN9yTB4o0A7wd3sFLTC/t6vo/pdhCWZ6Yi5iH1jDM5RfFcukniq73cnh/rF+H6Ee2T+rkc+w1yODO1HbDjI3MIYvA4lLw5lx1q9Ibgb3roO/kjy7pSYi9hT++BX3XflIpE8IjP+xl8zNUnJCccacPOAeaXiFo581IX1lkIbBdYlCUdM5zUtsEO2CWQ9lsx0xFzE9s8KWq78XblI5D7+o1/qkgNr6xVanGReqagsI7p1TkGY+ZcYRTgr4LQGDkJL+V0/IpnpiF5kDrrViqv/UC6SeAj20ckOv5dnJUx4VypuPTUzz1XYiRXZT5dBBuCtBKhZq/Tb2ZLoxFzE/kYFX8j8snGRxIuQH40kkbvM2gXvOOBdqbhJW6Fhg4M56TSOMAlSCQtNQglNOznYS6ITcxH7AlhAC2q+LBdJ5BHwXWFHv4udxg08BMzxrlTcw1pwpC3AnQDhpzNRd6rtLP2QK+xKohNzEXtI8F/KRRIzFX6G9cUV0vbXy1yrxSjvSsWNpnAT3BZS8qd4t6ItPKSuEFxmbyHjrOb1sB2OmIuYC2mTZH6z20/Pftm4SGRYIfStB3gVqBIa/gMWsipeHKAekIh0QmsDcAIowjgoIyW1IlUKxzCrlng9XEUwZWIuYg+M59D7mF+WixKBbYg/+xaI0LSouYwcJV4coCYledAOnh1PM5d0wlZxo0MYQ9f6mcwq7Ep2AzEXsXd3At8N/7ZchFuLV3SX/W+odGC1zp72s6K5T/LiADURIBWqbvL4GhRhPFwmyX5k3TD0kPix4wamOeT1sNGvloi5iB2FM2gvym/LRRJ5JFQ6qHZ2WZa6zktAR4G3eTzKvRIPEBysyadRhKmouyNVwy7P6wM71vtZSXRiLmJvSDiFfo3g23KRxJg8VDp4v3zUmVCBzLtSURMBqBs5a+PlT6IIU82Cb00RwKTmwO0meT1sx4q5yO4X8KzEXGWodGBtSKgbHF4coCYCvNwXWZ3VfhJFuB2mLrGGVgfXRcEjXh+AkJVKSXRiLmI/SJ1Av13ybeMiiVDmLb2pXAVdipJPYiEevCsVNRHgZSwCtQWoQxEG9K1VK2hFnlXDfpLXB3as97OS6DEXvfu39YzEg0wJjFaiLgHJpx8uG/o870pFrTjwEv9QW4A6FGFA31q1gFbBWDXsJ/0ufniN7VY5Z4m5iL1I7j81LpIIZckHEOSOl7zLh4zz4gA1KYkSgrgJ1nnhMoee9hDI8/oAa0ASPVQuAn+s9Nvu0STySKh0YL2oQhnnXamoiQCUkLXx8ie9cJlBT3sIbeD1AdaAJDoxF7FXC4OK35aLJEKZd/uCvURa5EIZ512pqMH3RChUWzyFqkYRRiFVhKbQDGtFrrVIDPFWvLqA4B6hRKJgSqmTrB+BlL8tF0mEMi9M605lHwUzTry8sgahLjKUENtBNEUvXMA7CQo/Vh+gDQiiE6HAlALxBxW/LReJhDLoEciVEnXEbmebZNlBeQYlxOZNU2S1ss2EWAO9sCvZC6IToYjiJeMEVPy2XAS3xjQaLIEeATUFKkMZZ9lBKaGEBDyFgfDCRQxUDMjqCkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSyAoL1zEQMWArC4QRCdCEcUNe1Ax5iLjqDAlsDsEKbDsoJRQQoItgaC8cBEDFQOyukAQnQhFFDfsQcWYi4yjwpTA7hCkwLKDUkIJCbYEgvLCRQxUDMjqAkF0IhRR3LAHFWMuMo4KUwK7Q5ACyw5KCSUk2BIIygsXMVAxIKsLBNGJUERxwx5UjLnIOCpMCewOQQosOygllJBgSwCo1wioZFeJNXD4YnNAKAqiE1tMFDdtARVjLjKOClMCu0OQAssOSgklJNgSAOo5Biq5VXIJTjBbWBojiE7sUqK44Q4qxlxkHBWmBHaHIAWWHZQSSkiwJQDUYwJUcqvkctHoyeWA0RNEJ3YpUdw0BlSMucg4KkwJ7A5BCiw7KCWUkGBLAKj7FKjkVskNtgSzhaUxgujELiWKG+6gYsxFxlFhSmB3CFJg2UEpoYQEWwJA3WZAJbdKMBc9uBwweiM5dGKXEsVNY0DFmIuMo8KUwO4QpMCyg1JCCQm2BIDykovkbvwEs4XFCeO75STvFLFLieKGE6gYc5FxVJgS2B2CFFh2UEooIcGWAFB/c6CSWyWXiwSzhaUxgujELiWKG+6gYsxFxlFhSmB3CFJg2UEpoYQEWwJAXRdAJbdKbhJKMFtYGjO+WU7yThG7lChuOIGKMRcZR4Upgd0hSIFlB6WEEhJsCQB1WQKV3CrBXCSXLSyNmcihE7uUKG64g4oxFxlHhSmB3SFIgWUHpYQSEmwJAHVaA5XcqpvYjZ9gtrA0ZvJnOck7RexSorjhBCrGXGQcFaYEdocgBZYdlBJKSLAlANRxC1Ryq+Ru/KZy2cLSGEF0YpcSxQ13UDHmIuOoMCWwOwQpsOyglFBCgi0BoHYHoJJbJXfjN/Oai2ZXbgvf9IhdShQ35kDFmIuMo8KUwO4QpMCyg1JCCQm2BIDa/AKV3KrziqvZ1BPMFk1odTyPucjilYCnJAJBAoPd5FDGWXZQSightn9IiqszSRwn/LvBybVLCWYLi7HFxXKSd4rYpURxwwlUjOMi46gwJbA7BCmw7KCUUEKCLQGg5j5uguQmoQSzhcUJC7lETOxSorjhDirGXGQcFaYEdocgBZYdlBJKSLAlANRUbumxsXLYmXK30lJu5GIhsoy5yOKVgKckAkECg93kUMZZdlBKKCG2f0iKIx8bBMlNiAtmC4tbVifLSd4pYpcSxQ0nUDGOi4yjwpTA7hCkwLKDUkIJCbYEgPJCZXsELJKqvExnlQzWMReVvvhIQeLqk8BgNz6UcZYdlBJKiO0fiuLDx1ZqidzDOcFsYXGLHM+E2KVEccMdVIzjIuOoMCWwOwQpsOyglFBCgi1xQ/352DIkkRvNCGYLixPkxm8xF1nc235KIhAkMNqZOiRCGWfZQSmhhBytlz0ttxKoykvu4ZxgtqgSzMt7uYWexC4lihvuoGIcFxlHhSmB3SFIgWUHpYQSEmyJG0ruiVfVhtzDOblZ8Cq/oizYemKXEsULwgk8/oq5yDgqTIndj0R6LDsoJZQQkS1P3M890Fhsl2rBbGFxkNw6KDhHvJtmXwGgYsxF7572ewbsDkHTLDsoJZSQYEvcUAu5tyAqRuTaJ5gtKvyK4klsfXjMRYVPSX8lLhQJDBLpqnAo4yw7KCWUULXJ3spyd1MVinI/A5LIvU1S4VcWBWfLiF1KFC8ZwzkvjouMo8KU2P1IpMeyg1JCCRHZ8sS9MJHbYjbxsr1S6Sq5/QTgHFEaLAtsv4OKMReVDg5UALtDkAPLDkoJJSTYEieUYNao2BDcz/8i9sZ/hV9ZlNtnKeai0qmUgkQgSGBQONdkQxln2UEpoYRqbfZ0IBiMFYaCqIJQFYJFUTBpEruUKF4Qjs/RjCeKEtuVBUCXv6GMs+yglFBCXVyE1fUzHSM4DePlZ0pK78jtyx3HRaVTKQWJQJDAoHCuyYYyzrKDUkIJ1drs6cDP8h3Bh1+C2cLiQrnflIy5yOLe9lMSgSCB0c7UIRHKOMsOSgkl5Gi96Gk/W3IIZjg/E1qlD+U6gohEFC8Jwzkvzl0bR4UpsfuRSI9lB6WEEiKyZYlP5H7EuWJf8IVWweUBFYJlUW7HFGKXEsVLwjEXGVfkJbYr35AYJ0IZZ9lBKaGEGJ6hqniKdMnRll9XyS0QJ/IkipuOBRXjuMg4KkwJ7A5BCiw7KCWUkGBLXFCeZoZncj+BmMiNXGxOkFvqSexSorjhDirGXGQcFaYEdocgBZYdlBJKSLAlLig/j9ESudFGkvi5iywcIrehALFLieIF3/hM33iiKLFdWQB0+RvKOMsOSgkl1MVFSN3NESlIE5NsntzIxdaGpdjreMQ2E8UNd1AxjouMo8KUwO4QpMCyg1JCCQm2xAXl5xd/RJ99yY1cbE6Q2/SN2KVEccMdVIy5yDgqTAnsDkEKLDsoJZSQYEtcUCOxvT2qFgRXMyeJn40ECrpyW6YQu5QoXvCN92jGE0WJ7coCoMvfUMZZdlBKKKEuLsLp+tnsOhF84zQR3K7W5hO5lVDELiWKG+6gYhwXGUeFKYHdIUiBZQelhBISbIkDSjRpGBuCy64TwW38DUFTktuqjdilRHHDGFSMucg4KkwJ7A5BCiw7KCWUkGBLHFC77Np11LJPyw02FAVRsLcmyT1IJHYpUdwQBxVjLjKOClMCu0OQAssOSgklJNgSB5SnH4gWXHadJHIjF5sT5N7iJXYpUdxwBxVjLjKOClMCu0OQAssOSgklJNgSB5SfqetE9NGX3MjF5gS5xZ7ELiWKG+6gYsxFxlFhSmB3CFJg2UEpoYQEW2KH8vUOvOjyRLmRi80Jci4gdilR3HAHFWMuMo4KUwK7Q5ACyw5KCSUk2BI7lK/9W0Vb53czNblNQ4iNJoqbDgQVYy4yjgpTArtDkALLDkoJJSTYEjuUp1XXoksdE9HFSu9+EOsJIhBR3BAHFWMuMo4KUwK7Q5ACyw5KCSUk2BI71OzPfr7j2eu8I0BNXTaz1aD1gdirt8QuJYob3qBizEXGUWFKYHcIUmDZQSmhhARbYoXytGGI8E93+GKZu0RsbovYpURx04GgYsxFxlFhSmB3CFJg2UEpoYQEW2KFknuGVIff7+rHHY/8+krsmR+RJlHc+BBUjLnIOCpMCewOQQosOygllJBgS6xQh631dOeT69/OEFWAsZetJwsLYtu+EbuUKF7Qje+jGU8UJbYrC4Auf0MZZ9lBKaGEurgIoysWhg1jwi//S27M1mCqDsVejiV2KVHcEAcV47jIOCpMCewOQQosOygllJBgS6xQYtO2DXThgYzfF/XFXjEhdilR3LgYVIy5yDgqTAnsDkEKLDsoJZSQYEtsUH8z29nu56Qnm+W2GLK1Tew9XmKXEsUNdVAx5iLjqDAlsDsEKbDsoJRQQoItsUH5mi66TW3W+Oe2R75uu6bYek9ilxLFTUNAxZiLjKPClMDuEKTAsoNSQgkJtsQG5enF2OS8tFnjn9tnAcYHADXFlnUTu5QobtoAKsZcZBwVpgR2hyAFlh2UEkpIsCU2KF/TRdLjLbG7KJsT5JZ1E7uUKG64g4oxFxlHhSmB3SFIgWUHpYQSEmyJBcrXdFEi/WaJ2F2UxQlJIvZCGrFLieKGO6gYc5FxVJgS2B2CFFh2UEooIcGWWKC87Qskfe8ndhdlcYI6JdUVRByiuOEOKsZcZBwVpgR2hyAFlh2UEkpIsCUWKOmUUZoQe6siR/T8cqzUb7kRu5QoXnoXzp0xFxlHhSmx+5FIj2UHpYQSIrKlib98TRdJP9KXu4uyO0hqKSWxS4nihjuoGHORcVSYEtgdghRYdlBKKCHBlrxDXRbv50TOyA9j/DpLavU5kSVR3HQNqBhzkXFUmBLYHYIUWHZQSighwZa8Q20O7+dEzpxWIjAVEKm7qApkpSj1EgixS4nihjCoGHORcVSYEtgdghRYdlBKKCHBlrxDTe7v50TOyC8HkrqLsjdPii+xS4nihjuoGHORcVSYEtgdghRYdlBKKCHBlrxB3Sdvp4ROrE5CQCWM3xfSpJYvEbuUKF46I85dG1fkJbYr35AYJ0IZZ9lBKaGEGJ5Bqxw3aFGioPwoRvQnjt5aI7W3P7FLieKGNqgYx0XGUWFKYHcIUmDZQSmhhARb8ga1OL+dEjoh/3xO7FV6awuldpQjdilR3FAHFWMuMo4KUwK7Q5ACyw5KCSUk2JImlLcn+omH7am9rcpMvSJFmNilRHHTgaBizEXGUWFKYHcIUmDZQSmhhARb0oTy9kQ/uQi/GauY+30JBJ6AaTrOfUzsUqK4sQsqxlxkHBWmBHaHIAWWHZQSSkiwJU0o6XfGDL6HQYznl0CElgwQu5QobhwMKsZcZBwVpgR2hyAFlh2UEkpIsCVNKOGtFyvwHiaa5X7btcLTFIUm24ldShQ3dEHFmIuMo8KUwO4QpMCyg1JCCQm2pAHl7R39JBGK7Cph8bdKquBJIrRvJLFLieKGMqgYc5FxVJgS2B2CFFh2UEooIcGWNKB22TXbOCtyKP8YTfD3FK0tFNo3ktilRHHDHFSMucg4KkwJ7A5BCiw7KCWUkGBLGlDTW+OE2KGX+ynpN//rrRWa4SJ2KVHcUAYVYy4yjgpTArtDkALLDkoJJSTYkjrUzdui60Rq5WCNsNjvKdZQiwOhx3TELiWKF2Rb9luKucg4KkyJ3Y9Eeiw7KCWUEJEtXny/xcsSJYV/MzazLjSj42iK0GM6YpcSxQ13UDHmIuOoMCWwOwQpsOyglFBCgi2pQ83+6seCR/JvoylyQjM6jmYK3VYSu5QobriDijEXGUeFKYHdIUiBZQelhBISbEkN6jGuHYoeTH28/i80o+NoqNBjOmKXEsUNd1Ax5iLjqDAlsDsEKbDsoJRQQoItqUEdvL0XmwjFdY2u94XXMosdiV1KFDceARVjLjKOClMCu0OQAssOSgklJNiSGtTsWjuUPJB60bTOSWhGpw5qjmRuWYldShQ3bEHFmIuMo8KUwO4QpMCyg1JCCQm2pArlb+uiJPn1MuQSmtGpOqFalpkaJ3YpUdzwBRVjLjKOClMCu0OQAssOSgklJNiSKpTHp2iJ1IatVb6Jpzu/0obM1DixS4niJVn4Vd6Yi4yjwpTY/Uikx7KDUkIJEdlixaf+nqIlnlYCyczouBwks7MjsUuJ4oY7qBhzkXFUmBLYHYIUWHZQSighwZZUoDwudPT2toaHl9wqHpFZn0nsUqK4oQsqxlxkHBWmBHaHIAWWHZQSSkiwJRWo3a5yIFz0NbEj9btB9ubKvClM7FKiuGEOKsZcZBwVpgR2hyAFlh2UEkpIsCUVqIm3d9HUw3fx3yPKiPuZhiqc8hRZb0XsUqJ4wTW+A2I8UZTYriwAuvwNZZxlB6WEEuriIqfu39RZ1b1i6+lH1/wudkxE9hYgdilR3PQNqBjHRcZRYUpgdwhSYNlBKaGEBFtioLz9RqM24evXg4ReXzVeqJdEti0gdilR3BAGFWMuMo4KUwK7Q5ACyw5KCSUk2BID5W9HR2VDZIBhuJYlz4sdRaajiF1KFC9dEZ/pG1fkJbYr35AYJ0IZZ9lBKaGEGJ5pVTkvWkX4Ar6mrn38uEi1lSILjIhdShQ3dEHFOC4yjgpTArtDkALLDkoJJSTYkhJqKf6rriW0v6nrlgnbCgNe8bDl6dW0iF1KFDemQMWYi4yjwpTA7hCkwLKDUkIJCbakgHr6uotKDfiauk4Sr3eWMhvAEbuUKF50YEtajrnIOCpMid2PRHosOygllBCRLUb8uMZIcWXm3l669bSeO2/obcZtcUWP2KVEcWMIVIy5yDgqTAnsDkEKLDsoJZSQYEsKKI+v6CsT/gZdMq+vFl5o/n2OmmcYx8QuJYobQqBizEXGUWFKYHcIUmDZQSmhhARbkkN5ff8juflburTztHAp98vo2d3XxC4liht+oGLMRcZRYUpgdwhSYNlBKaGEBFuSQ22ya1UeOEX89XcDKPP6qrPdEjsYEbuUKG6og4oxFxlHhSmB3SFIgWUHpYQSEmxJBvXyOwXs8U2Ny1LcGVVAiVtAYpcSxQ1bUDHmIuOoMCWwOwQpsOyglFBCgi3JoE5+I9rj2/Qeb/+0ayRuAYldShQ31wKoGHORcVSYEtgdghRYdlBKKCHBlmRQ84s4ZAXQz17XmQGf2MqCxHaUxC4lihs/g4oxFxlHhSmB3SFIgWUHpYQSEmxJCuVzc1ll4DqXJlzB87ubmsQ7JsQuJYobV4CKMRcZR4Upgd0hSIFlB6WEEhJsSQq19bhzkTIgsnrZ1WaP93/K5EPgh3SJXUoUN34BFWMuMo4KUwK7Q5ACyw5KCSUk2JIUyu/MdbI8SxOu4EnMLlfgmkWBBUbELiWKG8KgYsxFxlFhSmB3CFJg2UEpoYQEW6KhPM9c+31PQ2J2GfCnwE9MEruUKG64g4oxFxlHhSmB3SFIgWUHpYQSEmyJhvI7c534nY2SmF0G/CmwawixS4nihjuoGHORcVSYEtgdghRYdlBKKCHBligov2uuff+468XnXidJIrBrCLFLieLmWgAVYy4yjgpTArtDkALLDkoJJSTYEgXldUNHjX+U5VtH87Y1Umbm2P03JoldShQ33gAVYy4yjgpTArtDkALLDkoJJSTYEv17hwLvXEGM/D7pgrczhHih6gQe6hO7lChuWgEqxlxkHBWmBHaHIAWWHZQSSkiwJUnid7cQ77/tmkweou5ogAk81Cd2KVHc8AUVYy4yjgpTArtDkALLDkoJJURryWW9vAMaUr8Wu3NsDJlP6Ox/AQ7Uqqoty7b+XW1VPdb9oT6xS4nixnWgYsxFxlFhSmB3CFJg2UEpoYRILbkNtgfgLuwisCh6ra/0mWNmZZeFwdJRnbUlRUA1682W5cXbjrZqHuv+UyDELiWKG6eBijEXGUeFKYHdIUiBZQelhBIiteQA/+DgwjGcodiY6z1BXLnIMm55x04R3k9bzrzZIv9EWqutmse6r6UkdilR3LgIVIy5yDgqTAnsDkEKLDsoJZRQS0t2v4fpKjnPJ4u/JNmPfxYqVeRHWVVxlOx+d8PpUcOd5+OZ2pYsF7MauC4n040aYe1+j9NM6Tgb69u/w3C0WDxmm+J0AZIZy/d03CszhaaqmKQIG70i+3DMESpWCbZGY9VKBa3bnH9otkptq8fmqxTYtMm0stVjGR1ilxLFizbH/a6NJ4oS25UFQJe/oYyz7KCUUEItLpoN56fz8d/+sv13S67L0emcFEdpVXmUzIaT1W6gXtI/DrYXtWqwELMa2O8v56naoXE2XJ5TpcO//Xn+80z+JvPT6VWeLkFSY8Vv0uvRSCEyGy7O+4GaQBrrr+vFKkeoWCXYOo5VKxW0anMBQLOltACPTVLgSpvyxmM8lvEhdilRvGhzzEXGE0WJ7coCoMvfUMZZdlBKKKEWF830XdmP3nx1pfYl2unXO4ujtKo8SmYT9Zr7TGWJn+zt2ELMaeA5uCklVZ0q6Uwy3KqF2wqhcrqwnBorXoxN80OuOdMTwhvFsshFGYI6Wf0gbT1HupVZw3J1si3AY9O0R0rHmMYjPdaSI6oNzsrsKwBUjPdo7572ewbsDkHTLDsoJZRQS0t0nrgN1tvtVseYzkXlka4yR8lMT/KsF+qMGlpUK2wWngpuPDinaUgr3VOllZr7znKRhk6xCsupseLF2DQ/5CIzfTd1GbzcuYhia6hbmdoqWNNsKS3AY2kuKv1XNh7lsYwPsUuJ4kWbW3JezEXGUWFK7H4k0mPZQSmhhFrY6gTzN9js1EcNUXQuKo/SCebyKJmN1HTPeq7q1d+KmNXAZH653QanbJJaKd1SpbX62Z4sF+kHZSlWYTk1VqykTPNDLpImjuvg6c5FFFuTtWplaqugTbOltCCPDZ9Vx6R2sB7L+BC7lChetDnmIuOJosR2ZQHQ5W8o4yw7KCWUUIuLdLw8VdLIPjoXlUdpKJVHyUTfNKnIys+YCouFh04990oueqkxUpLoGeNaLjIg2lj5C2O1/KB/duz4TylvVWFSIKhy/iHZWuuWpg0r1Em2tBLkMT01Xm8T1mM5HWKXEsWLNsdcZDxRlNiuLAC6/A1lnGUHpYQSanFRGpfLkbrtuqlp6XS+qDjKQrY4SoZqpkVHVpKeuWZ/tJLl8xockteskouSpdr36HegQnU9fb6ybFBiaRBtrPydjlp+UCiPkardqFHTcaByUYpgjJJs7Te5rVKfZEtrQR6b6kWapcdSybKVsMdyPsQuJYrnRtQfUDHeoxlHhSmB3SFIgWUHpYQSamlJGi+v1eDn388xz0XFUVqVFEcXnQ/SXPRaDH4G87LCauAwGP7b/zP3aMlzqkzoi/w+/Te4lVFaoKcRXkwXpWOnQmS2mvwMZi813hgP/i3Uc7QMoWKVYutHtzJrWI5Qy0WttpRSql3yTrN3cTSb60nq4iiT1LkI47GMDrFLieJ5k9UfUDHmIuOoMCWwOwQpsOyglFBCuJa8bo+KoO1ooW+y8s8zk66LFZXZ39dNpY/a5/F2Jq2ugBTTRTU1Ffr3dIJKJaEqx4oQwdYZ/KFphK3SbIW3OpcfnfXYsTxKy9l/CI+lgsQuJYobQqBizEXGUWFKYHcIUmDZQSmhhIRa8qdni/x+7D8ZVBvEdCYA/xRIZ1udNyUhdilR3LgPVIy5yDgqTAnsDkEKLDsoJZRQ95ako5KVngnx9lGPn9Sa6s0i+9SGPwvZvf6LnwJ5+LGlF0N1+RC7lChumIGKMRcZR4Upgd0hSIFlB6WEEureEj1PdFfLcjx+HnrJ4/J0zj7NuztJw/OrRnslLz+20v2XarmURp7YpURxwwVUjLnIOCpMCewOQQosOygllFD3luiXxPSyHJ+fkYpf63SRoNGXznHpm/rXytyXoAEFtVJrBk7qaSH3Q+xSorhhBSrGXGQcFaYEdocgBZYdlBJKqHNLHkP1UH3sc6yiKI7Ve2bgtHLnZiiAnbrb1G/qn3y05rXXw6H9Prl3uU8jdilR3DgRVIy5yDgqTAnsDkEKLDsoJZRQ55bc1MKiTXZ5ptM6nQFtAOPhZa+yxBPaPcmmRzr3GJ8S9aTrkq6UImlihO9j1YDz6jXtMstP7FKiuGkGqBhzkXFUmBLYHYIUWHZQSiihzi25jEZ3PeP7PB78DY5m0+ni8lzrNZceP9vh+ja9DkfFMnNZU6fh+HKbroerDrDELiWKG2KgYsxFxlFhSmB3CFJg2UEpoYQ6t+R3NF3ukr+lGlT4+yyH89FmOPQ2j5MzHw+nw9Ew3yVJvDXr0Wg5HKtbWv6H2KVEccMLVIy5yDgqTAnsDkEKLDsoJZRQ55bsR+Phdjyc5AsOO+NZAXbD2Wg09DxBniTXoUpF42xBopVHp5Ov6Ug1YtjhMRq8HvqdHPsKABVjLnr3tN8zYHcImmbZQSmhhDq3ZKPCazhc+rs/0wx/tY0uNzfIZi6VmUmXgQto565d1WXqOuYi0L+uSolAkMBw8Ws9H8o4yw5KCSXU6oc2AR2+w2ObVMf6y3g49P4cTXF8qWzh6xZNwZ8U/KKLK4hdShQ3zEDFOC4yjgpTArtDkALLDkoJJdS5JTMVvX6nlBXF23jo40H7e+NPaoj3flbszGrY7UaT2KVEcdNMUDHmIuOoMCWwOwQpsOyglFBCnVsyHuq35D1/Ht2mWQjsZp3mltsMvcbDDisdW96ffzfOvgJAxZiL3j3t9wzYHYKmWXZQSiihbi25X++jbTcIhLa2kr6bgZDtKnL1O8hTDekyyU/sUqK48R2oGHORcVSYEtgdghRYdlBKKKEOLXnt1CzOcLz3Oyx67VMrO79WMjf4ttXZY8QuJYqbawFUjLnIOCpMCewOQQosOygllBC/JY/pcHm8HJfDaZen1G32w1jJWPi21R2f2KVEcdMXoGLMRcZRYUpgdwhSYNlBKaGE2C15TceXl/5cxlN/Y5YwVjIn+LYlgE/sUqK4uRZAxZiLjKPClMDuEKTAsoNSQgmxW7IbZqlIJaNhdnWyoQDFfcWK7E5F70Z92xLwGLFLieLGJaBizEXGUWFKYHcIUmDZQSmhhNgtGS/TUZH+bzlmo7QpjlchrGQsfNsS8BixS4nipjNAxZiLjKPClMDuEKTAsoNSQglxW3If/pZZ4nfY5dkQxCCMlYyBb1sS+MQuJYqbngAVYy4yjgpTArtDkALLDkoJJURryf2of7VRf9bDc5mLzsN1dlL8f5eV327bkzzKZlQYu2xVRDoVLfi/1Fl/YpcSxc21ACrGXGQcFaYEdocgBZYdlBJKiNKS3+3xXiSgW21cdCtOC/91WbkdtvwFR6dKMyp8XbYqIp2KFnxyM4hdShQ31wKoGHORcVSYEtgdghRYdlBKKCF8S66bv0osPmuzH89KjWQRsHLa8p7e/dWaUSEL2KpI8Yt2fFoziF1KFDfXAqgYc5FxVJgS2B2CFFh2UEooIXRLjsd6GFafCu3qVYJHgJXHhnqHo9vabEaFK2CrIsUv2vFJzSB2KVHcXAugYsxFxlFhSmB3CFJg2UEpoYSwLTkUT/CLWHxU1hc9ipPifyErT8bI6NhsRoUxZKsixi468J8b/ACP2KVEcXMtgIoxFxlHhSmB3SFIgWUHpYQSQrbkZGaqi1i8leuufc0WaUuQlQd5xZGlGUVzWmxVxNhFR1seW2QnxHdj0Y6qCUoEggRGjRTlIJRxlh2UEkoI55Kn7S7skb2PtvM3KtJRD1k5ESewrc2opBbIVkWMXXTg45tB7FKiuLkWQMU4LjKOClMCu0OQAssOSgklhGvJvsw3+8PrtSunjm4Xn2MiFfOpqTcrt2vOZ4ujX0iZZrxUO0wzKsnlzValjl80pqr4l+KOEd0MYpcSxQs3tYy/Yi4yjgpTYvcjkR7LDkoJJYRjuy/DcKGWWy/W5WGjsLKNnxoy+SFO1Gbq+DMY5NmQ+BtFphkv1Q4bdkYOxy2VxYnaTD1nP9N/2eJ1dDOIXUoUN9cCqBhzkXFUmBLYHYIUWHZQSighVEvO1zKf6Fzk/sycWepNhyDa0L0c/4pcdPtF8c+FKs3Qucj9IXAjiDbs7X5ur7wh6GYQu5QobnwJKsZcZBwVpgR2hyAFlh2UEkoI1ZJ8PLGbTI86hnfqPm173E9U8TQbL3SiOs3H0/1rPxwtFvfX6zAdL9VipFTmtNIxeNgWkXhdjCfLey56WU4ma32/9dTY+v6vRMzkM1OHyVRXmU+Ri15ZXKAaoX61NQfI22FpRtYOTDNeWTsyUVYz0tff5rOUE7YZxC4lihs3gooxFxlHhSmB3SFIgWUHpYQSQrUkC+Ldv/1p+qMS0Fyll+lw/nt6Hf7tztt/19dhsDkfN6/rZPb7+3jt/+1O859HJnMbqMfoz58iDzx/VueTWm6Yie5259/pVIXj9t/hNNPYBWKeNjJTi9/toPYgr1MuKtrx3oy8HYhmqBal7eA34znQ6XU7TBuKfSBI7FKiuLkWQMWYi4yjwpTA7hCkwLKDUkIJoVqSJpI0nzz0DEcaxGMVRFmKWS6eP/mwJ71jef6oWaPncKP269GBNlcav//yyWZ1V5LPdpc3N/fB3+v5TwXmU+WiAjGNUK2s095EFWaqYD5dclHZjrdmKOtZO9qbUbaD3YzHQL9cvP+XNirmItR1yBSSCAQJDCb9lkcJbNR3RVYjUUoooXdCljNpLvpTOUPlhCIX6dxwHay2m81sfB3kE0ppZP6lR8v5a5rmj5PKQyaTPMfD9Vm/MpKK3jfT8XhwUpGdYxeIaYSq/9J8oSehVvPilP7bJReVtlLsajNUe7J2tDfjVbSD3YyYiywXmp9TEoEggcFuXSjjLDsoJZQQyj9pLrqmIxo9ykmDeKNSwmWQvqC/v6SpRJ1IIzMTXE1fUy3zeo32tyJXqaPHYf5vpMZGqehkdrr+qQFCiV0gporqv9KUXC4qbZXYpdGiHYhmFO3gN+Of9upmlLY0jotQ1yFTSCIQJDCY9OO4qOq4NBc91PhFJZZqLsq+21V+Se838tSRH02XRS7ajTf6Lst8HiM10tGZQN+eqTHRb6byVL8+WyLl0mW+kMtFZTtK7NJoUdA17c146XbwmzFdKCPpf+ppQNXbQJkYEURxYxhUjPNFxlFhSmB3CFJg2UEpoYRQLUlz0WsxUdPSg2ouei1H6qbm7/xajNScj5qjXk/uD7X+aHx/HdWUdT4uug/0bFD+uZ2eKobVhJIWfQz2r8dMJ7LV6HJb67moAjEXL/NFJRc9//4Gu797KoF9AJU2M2tG2Y4S2xjN29HejFfRDn4ztIdO+ZR8zEWo65ApJBEIEhhM+nFcVHVcFsT38eBnWrtHez2Wg59/P4fXYzH4GagZndv0nxrq3KeDf/9Uuslz0WtRzlyrKaafwXAwVxNGqeheqe/+qVz0WP772czVcKlABHLReaA/Km+pDycXFe0wuag0mrejvRllO/jNeG2Uz/K1oTEXVS836bJEHpHAYLcrlHGWHZQSSgjln3xA8fp7f+Pjcb2pxKJut67ZQEWXVaK5piezg3wOOz9QdWroVHwelYPnMLVTIBYi4F9OLlIjubd2lEZr7YCaUWsHrxlGK+Yi1HXIFJIIBAkMJv04Lqo6rshFYFpwVd4Oxcy2S0Kdvx6ul4VakkT98HIR1YqW99qMmIuql5t0WSKPSGCw2xXKOMsOSgklhPJPp1w0HunZovs8+1RHT5WU8DcbjRb6uX72sUnbzrHu0QojtL9ZM1rawW1GzEWo65ApJBEIEhhM+nFcVHXcat/5s1tlnx0KySZtO7dfVWm2lQWasbeycLXJJmw7h24GMSKI4sZ/oGI2Fh0YaWuJNGK1IoidBFuDtCKBgTT1LhbKOMsOSgkl9N5wy5keXVcNdiRmJOGGIb+HWGbELiWKmzaCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oYlqJiRjbnIuMt3CewOQeMsOygllBCqJdhQQYGJCpGYkYRFabaBYZkRu5QobliCihnZmIuMu3yXwO4QNM6yg1JCCaFagg0VFJioEIkZSViUZhsYlhmxS4nihiWomJGNuci4y3cJ7A5B4yw7KCWUEKol2FBBgYkKkZiRhEVptoFhmRG7lChuWIKKGdmYi4y7fJfA7hA0zrKDUkIJoVqCDRUUmKgQiRlJWJRmGxiWGbFLieKGJaiYkY25yLjLdwnsDkHjLDsoJZQQqiXYUEGBiQqRmJGERWm2gWGZEbuUKG5YgooZ2ZiLjLt8l8DuEDTOsoNSQgmhWoINFRSYqBCJGUlYlGYbGJYZsUuJ4oblyBTfSxnZmIvePePrDLsfiYRYdlBKKCEUW2yooMBEhUjMSMKiNNvAsMxGrzakWj37Coi5qOZHdcB2ZROIcxzKOMsOSgklhHINNlRQYKJCJGYkYVGabWBYZoFy0WsMEc7IxnER5CPZOrlIhnmx7KCUUEIwubwWGyooMFEhEjOSsCjNNjAss3GYcVHMRW8dJhdMb9DtJ0IZZ9lBKaGE2h2hJLChggITFSIxIwmL0mwDwzIbP9uQavXcK+A5qcE0DjKycVzUcIvHQ24/Uimx7KCUUEIouthQQYGJCpGYkYRFabaBYZkRcxE47QNwesRc1PSOXDA1kRHHoYyz7KCUUEIIT8RxEcpJXYSwuWjyoFh5cXPRfQqZycjGcRHkI9k6uUiGebHsoJRQQjC5vBYbKigwUSESM5KwKM02MCyz6b0NqVrPzkW3WRWmWc7IxlzU9Iu/Y7lIhjmy7KCUUEIwubwWGyooMFEhEjOSsCjNNjAss9mtDalaz85F10UVplnOyMZc1PSLv2O5SIY5suyglFBCMLm8FhsqKDBRIRIzkrAozTYwLLP5XxtStf4JPpqvSjbK51XjRO0wIxtzUc0pXg/kIhmmybKDUkIJweTyWmyooMBEhUjMSMKiNNvAsMwW1zakaj07F53WVZhmOSMbc1HTL/6O5SIZ5siyg1JCCcHk8lpsqKDARIVIzEjCojTbwLDMlpc2pGo9/DisKtkoH7eNE7XDjGzMRTWneD2Qi2SYJssOSgklBJPLa7GhggITFSIxIwmL0mwDwzJbnduQqvUP8HFYVbJR3oN8ssqYixpO83goF8kwSZYdlBJKCCaX14KXJgrBlxCJGUnYF2MrLpbZ+mRVd5yEH807lPTp3RGozFe+xlwE+Ui2Ti6SYV4sOygllBBMLq/FhgoKTFSIxIwkLEqzDQzLbHtsQ6rWw4/mq5KN8ua3caJ2mJGNuajmFK8HcpEM02TZQSmhhGByeS02VFBgokIkZiRhUZptYFhmu0MbUrWenYvgaamMbMxFVVf7LctFMsyTZQelhBKCyeW12FBBgYkKkZiRhEVptoFhmR12bUjV+r959YhQhpcxZWRjLiI4tKOoXCTDRFh2UEooIZhcXosNFRSYqBCJGUlYlGYbGJbZ76YNqVoPL1msSjbK8GtvGdmYixpO83goF8kwSZYdlBJKCCaX12JDBQUmKkRiRhIWpdkGhmUGL/xpWrksm2dwxy3rtTOyMRfhnCkhJRfJMBuWHZQSSggml9diQwUFJipEYkYSFqXZBoZlRssutMxlOLY8f8vIxlxkHOa7JBfJMFOWHZQSSggml9diQwUFJipEYkYSFqXZBoZlRpsBot3RGY4t93YZ2ZiLjMN8l+QiGWbKsoNSQgnB5PJabKigwESFSMxIwqI028CwzGhPxuDl025OLeOpjGzMRW4HStfIRTLMjGUHpYQSgsnltdhQQYGJCpGYkYRFabaBYZnR3uqgPXUzHOFl13Gto/FUoJJcJMOEWXZQSighmFxeiw0VFJioEIkZSViUZhsYllnLrHLDTEtOaUibw5Y3TTKycVxkHOa7JBfJMFOWHZQSSggml9diQwUFJipEYkYSFqXZBoZmRupT2iptw3EK75KUkY25yDjMd4nU6x3IsOyglFBCKOboUEGhSQqRmJGEJVm2YqGZwSt/GnZob68Z5ZataTOyMRcZh/kuyUUyzJRlB6WEEoLJ5bXoUEGhSQqRmJGEJVm2YqGZkTaZhV/lcJJqeaQf54ucnvNVIRfJMEOWHZQSSggml9eiQwWFJilEYkYSlmTZioVmRtrYkSRsOMK7Oha/xBDHRcZjvktykQwzZdlBKaGEYHJ5LTpUUGiSQiRmJGFJlq1YaGZLysaOpEGU4dg25Z2RjbnIeMx3SS6SYaYsOygllBBMLq9FhwoKTVKIxIwkLMmyFQvNrOURV90QaXLJqLbd2mVkYy4yHvNdkotkmCnLDkoJJQSTy2vRoYJCkxQiMSMJS7JsxUIzg3cWathhXgCjlh+nzcjGXNTwtsdDZkeSGbHsoJRQQii+6FBBoUkKkZiRhCVZtmKhmVE2MGJuvX9r25k2IxtzUWuvignIRTJMiWUHpYQSgsnltehQQaFJCpGYkYQlWbZioZlRllL/gb+46OTU+hZbRjbmIqcHxSvkIhmmxrKDUkIJweTyWnSooNAkhUjMSMKSLFux0MxaE0XFVNvzsIpotbgGN5hVkhnZmIuqTvNblotkmCfLDkoJJQSTy2vRoYJCkxQiMSMJS7JsxUIzo+QX5quxrU/fMrIxF7X2qpiAXCTDlFh2UEooIZhcXosOFRSapBCJGUlYkmUrFpoZZQMjytySYXifmLK9lJGNucjuHR9n5SIZZseyg1JCCcHk8lp0qKDQJIVIzEjCkixbsdDMKBsY8V4BObZuY5uRjbmotVfFBOQiGabEsoNSQgnB5PJadKig0CSFSMxIwpIsW7HQzNrez6hamlPWRZaKi9afg8zIxlxUusx7QS6SYaosOygllBBMLq9FhwoKTVKIxIwkLMmyFQvNjLKBEWup42v0amObkY25qM1PcvVykQxzYtlBKaGEYHJ5LTpUUGiSQiRmJGFJlq1YaGaENUPPltft7aTO7fv1Z2RjLrI70MdZuUiG2bHsoJRQQjC5vBYdKig0SSESM5KwJMtWLDwzfKdSppYMwfXRlB2ljGzMRQ73eDiN7/Ruxll2UEooIRR5fKig4ASFSMxIwoIk26HwzPCdSlmKVDJ8IW7sMrIxF5VO817Ad3o3Kiw7KCWUEIo8PlRQcIJCJGYkYUGS7VB4Zu3TOYU11iP9U/stWlzrWHg42F+5SIYps+yglFBCMLm8Fh8qKDhBIRIzkrAgyXYoPDPEuCU31/a6vZVV+1O0uO7a6jivJ+UiGabJsoNSQgnB5PJafKig4ASFSMxIwoIk26HwzCaPdrRMYoyWNIiPsSk7SxnZeI/mdJB4hVwkw9RYdlBKKCGYXF6LDxUUnKAQiRlJWJBkOxSeGToXUZ7+lwQPrQsdlWhGNuai0mveC3KRDFNl2UEpoYRgcnktPlRQcIJCJGYkYUGS7VB4Zq1vixXGKG+uFTrJ9K8sugsZ2ZiL3B6SrpGLZJgZyw5KCSUEk8tr8aGCghMUIjEjCQuSbIfCM0Pnou2h3WxT4jxvnrEdZ2RjLrL5xs85uUiG+bHsoJRQQjC5vBYfKig4QSESM5KwIMl2KDwzdC7ivAEyb33/QzclIxtzUXu3SknIRTLMiGUHpYQSgsnltfhQQcEJCpGYkYQFSbZD4Zmh54vwD/9Len9tOzpmkhnZmItKv3kvyEUyTJVlB6WEEoLJ5bX4UEHBCQqRmJGEBUm2Q+GZYZ/pX1G3W3Vmq2P92HGUkY25yOEeD6flIhkmx7KDUkIJweTyWnyooOAEhUjMSMKCJNuh8Myww50dHrKgdx+3vhabimbIMRcVfvP/Vy6SYa4sOygllBBMLq+lX9coWAEhEjOSsAA5PASeGfaFV9QTsTrBNXK2OyMbc1Hdez6P5CIZZsmyg1JCCcHk8lp8qKDgBIVIzEjCgiTbofDMkJ2KWrRY53VDDovi3HXdbwGOkJ3emQnLDkoJJYTijw8VFJygEIkZSViQZDsUnhmyU3/X7UYbEstj44TrMCMbx0Uu/8ifR3Z6Z8MsOygllBCKPz5UUHCCQiRmJGFBku1QaGbY/YuWqKfzVWJ/rftcF9IZ2ZiLCn/4/ysXyTBXlh2UEkoIJpfXokMFhSYpRGJGEpZk2YqFZnbD/eYZYnfGJqfFqXnGdZyRjbnI5R/583KRDHNj2UEpoYRgcnktOlRQaJJCJGYkYUmWrVhoZsjfAfldtZpsCJxwSU5rZWRjLmp40OOhXCTDJFl2UEooIZhcXosOFRSapBCJGUlYkmUrFpoZcoO0+aXVZF3gNcG8iZbpZGRjLqp70OeRXCTDLFl2UEooIZhcXosOFRSapBCJGUlYkmUrFprZHiV5x2z9USO1w7ygn2tkFGIuqjnQ64FcJMM0WXZQSighmFxeiwoAFJK0EIkZSViaKYiHZrZp+4Hp1Mx+C1p7r7xjl3Nr1YxszEXvbvR1Ri6SYYYsOygllBBMLq9FhwoKTVKIxIwkLMmyFQvNDLdZ4+TWarEusDjWj8GjjGzMRaCTRCvlIhmmxbKDUkIJweTyWnSooNAkhUjMSMKSLFux0Mwm91asJMFt/VEB+iW9vJaRjbmo4kDPRblIhomy7KCUUEIwubwWHSooNEkhEjOSsCTLViwsM9xvnuG2/jCkHmNMhivlM7IxF5UO8V6Qi2SYKssOSgklBJPLa7GhggITFSIxIwmL0mwDwzK7LtqQVD1y6w+DtEC+iJZrZGRjLjIO9F2Si2SYKcsOSgklBJPLa7GhggITFSIxIwmL0mwDwzI77NqQVP0SNb9tgI6kO7Q4d208F6okF8kwY5YdlBJKCCaX156pc6EoVAGhBynsvr8ZK8TiaOoDfeIdWsxFAtctEUIukmHDLDsoJZQQTC6vfdEG8ShMEaFf0u/ufH8zMDvMrrGDrLwH5kdiV2T48R6N6LYO4nKRDJNg2UEpoYRgckUt5tagkA35l8iLKB6sJVhemKlr9NYfeet2iF+KrTsi5qK6P/wfCUYySJZlB6WEEgK5lZX3Y1kkFe5X0hMaErYSviFuWaqYtmZ4plg17yqjm4HZCWRBum1NrpOni5brfMxFLs/4Oi8YySBFlh2UEkoI5GYq96SboUzvtRsPh8PxHrdzqbGFL23xoplksxn+KWIYopuB2Ankgts/v6D1nFyLIvpvzEVoVwkJSkYyRIllB6WEEoKoVeu25IzyGA+Xx8txOeT8mHLVtLP8i3+fs8CoN8M/xcIu9BfdDMxOIDPaxkVL7O1hpQExF1WcEaQoGskAY5YdlBJKCGBWq3rWo7hWZz14jYerl/6shhNyHrMiNk9ej80z7ce1Zvin2E4oSfDNOLdP7Zxoz+cPNPGsOTEXYbpVUkY0kgFiLDsoJZQQwKxe9dzSJhZ2w9Vwo1LRRv3Nrt46Xuejy5EDUW2Gd4oYgoRmrFungp5j0uqLK/rX1qotibmo6o0QZdlIdjNm2UEpoYTcxN5q9se3U8CJ8VKloY36t30tyVtYALh51WtPuxkxiKYZnikak+4SqRntN7vrrdvUe81jTJ8sUigxF7270u8Z6Uh2sWXZQSmhhFy0bOfvuwP6a/c+/NVjoplKRa/fofTTtL/9njZKqzanaIZfilWLrjKtGe2vvF5od8Nz3rKxmItc/enrvHgkO4iy7KCUUEIOVo7Tr/Me+dkMz+oGbTacqf/Pww1SCyvGHRPlzcqa4Zcipim0ZizbVjC8aA/FtuSNaDP3xVzkiA5vpz1EspUryw5KCSVk5SRwshx0qDkj+XGRAMEk+QKK1Xa2/+TZlrA5Y5KcpsxHCjEXVbslRDlUJLPsoJRQQt5cmU7GbNM5o5WH+SIJ3l9AsdLMbdvj9z/SHdqNtlFIhUjMRRVnBCmGimSWHZQSSsibL/fq+ZmaK1LJyNNztO7Mv4CiaeSzbeb6OaFsuP+c0G4QDZE4d13xRZhiqEhm2UEpoYS8OfM18b2+qDP1L6Bo2rhvuwGjLVucZ6Mbg48vxXER3lcykqEimWUHpYQSknGWDeWhktHx8quWOjLeH7EByp9T6677TrFo9Kvtloq2C9GGOW+t6cRcVHRKqL+hIpllB6WEEvLoztfe9/toXcnfJt5fmetKsdDfr4uS/e+t7RaupvbLnbfWKDEX1XwZ4CBUJLPsoJRQQn49eRdfWSTJ9zVVT8l78J4+ok1ts0WvKWX650pKXE16MRc1PeL7OFQks+yglFBCnt1o5XA4eraKhF9unYJ9oVgQ3LQ8RFu5m1JAmL933nrrAiDmosITof5ao8iDcZYdlBJKSLpFjV0FrRyWHSYrBPgWFPfARvYfpthsZdsGaTugKU2s5DVtfa/tTad6IuaiqjdClK1R5MEwyw5KCSUk3aJ5fV7DyuHDgZ5TvEC7iH2YYrNX5vCS6xPUlCZWAgwH32RtJ2IusnnF5zlrFHkwyLKDUkIJSbXotpxMV4/kMBwtFo+rOtikL4wNJ9Pf9H7nPJ8s9HZDe3XiQ4Fep7gYTjKKmlFfKDp6o+W3FP/anrHVYLeUMVRNMz+IucjmFZ/nQkUyyw5KCSUk5cKf9eW8vSd/k/np9NrvL+ep3mBwOzye50N1S3b8t79s/92S/b/DeaZPfOBTpzje5BR/ekTR7pUHvBPIg7TIsdMjtJRfzEX2bvJ3NlQks+yglFBCQg68Dx4ZUnmP9hyod/r/KQ6vH5V6fvQr4atl+vf17yO5qE5xre4lM4rH/lB0dMYyi35H7WtGed3+ShpDWU3GXGR1i8eToSKZZQelhBKS8uB4tElfQUhz0XM7G48H5+Q20BzmK1VYb7fq5H2gdw+ZfSQXJVWKx+mmoKgZ9YWitTda7tCWbQuyq6AdH6GlUDEXVT0aohwqkll2UEooISlXvo6LfyMV1mkumswvt9vgZHLR32CzU5/DLR0+LT6TiyoU/8aGYp6LekHR1ht3eCSzXtqUHOe6PkJLYWMucnjX2+lQkcyyg1JCCQn67zVW39A6Fz306OeuctErHRep6aGnOtCflxosJcnoM7lI288oPicnQ1Ez6xFFxab+mYFP4Hdzys4fi5ZlSnXLjqOYixyO8XY6VCSz7KCUUEJC/nuoG7TnSF2l6+nz9RocktdMp5/V8PpY6+mh5UjNHt0uyUI9fT4MPpKLKhTnuwrFUX8o2joD3vHsMKOkog1lDGUjk56LucjpGk8VoSKZZQelhBIS8t7tZzAcLFRc3Kf/BrfDYPhv/0/lotfw389moYZLr9Xg59/PMXlMBj+zz9yjGYqjnyrFZX8oWjrjDL459kt67/hISlwWMtmpmIucrvFUESqSWXZQSighMe89bumCogzvdcu/rjWHUfqc53V7pHV3PT/zmU9OMdvQsKSoufSGYtMxN/Bx/gWeSmqAXUiJq6FcOYy5qOKMIMVQkcyyg1JCCfn15d/w9rf8odxG+OWj0Rvh/XfsH8XSCWpiqyy/Fy5gomrK38b0n7ZsYqTHMRdZ3eLxZKhIZtlBKaGEPHpQQd+Go9HicwMhW+PSl/MrFbdZ7ygaduBc84WUXOC0Zky2l2IuaveRrESoSGbZQSmhhGSd9obWBw51Ul3fxqqj+T0Cdzy70t6277CRY6ORMRc1HOL9MFQUseyglFBCnv3YBw61Ju45v9pcQwh3sIfmmompaC337DLmonCXQGYpVBSx7KCUUEKe3doHDtUmgi/nVwV7UP6F3r4npqIDaRkS3PiYi2D/yNeGiiKWHZQSSkjecTXEPnCoEHqQplgqih8ogg/JiKnoDKU1attiLqJ6rKt8qChi2UEpoYS6uqlFvw8cKhRnx8pBv4tXKG1eaHNFf6QHbm1+ibmozUPS9aGiiGUHpYQSknZbA68PHAwl/XL+l3z+oGxzgvLUewNpm4q86zfOxFzUcIj3w1BRxLKDUkIJefZjHziUTfyF5oJLqV4UwFR0mJCWSTw77inbdEjMRU2P+D4OFUUsOygllJBnN/aBQ9FE2vaHhdZH/oLTQetZtoIdy2wu8UJsxVjMRRVnBCmGiiKWHZQSSsizL/vAIW8i7TeePfsFhofuwe6zNW0d+0r6xjTmIrj35GtDRRHLDkoJJSTvuBpiHzjkhBZZDNXo9fMAugf7HYNbiLw3qPP21m+QMRe9ucTziVBRxLKDUkIJ/Ue82N6Mnch+Ge12Oku8VvPKW8Z1uPtiRpoqShLapiJ1a46jmIscjvF2OlQks+yglFBC3vyXAfeBQ8pEdIWNT6fdplsX/HM3PrrqHOePU2dec2i0n465qN1HshKhoohlB6WEEpJ12htaHzhoUnfRFTZvzZQ7cRi73sx/bkfZjygRjNH2N0ICx1yEdJSYWKgoYtlBKaGExPxlB+oDB8Ws+XK+neznz95mS8czstt2tCbeniWJl1SUxFwU+kIJFUUsOygllJBnt/aBg2riSm0t2f/PY+MYFN330+mefrN1oq1Dwjoo5iKsp6TkQkURyw5KCSUk5S4HTh84qAncb3g5X80G7SxP62+/6+lkp3YLJ3/OflJRHBeRe6KrQqgoYtlBKaGEurqpRb8PHJKr0OaqLW3tVH3bjLbV27PX43b93a3mo+nml5OIkuTka4osjos69TRDOVQUseyglFBCDM9QVPrA4QG92kVpjDfZx3E23hxPh/1uvV4s5pPJeDiZzBebw+nPMlLC0fj1NCpK4rgI1wGCUqGiiGUHpYQSEvSYDaoPHOaU33i2NcLrufthMRoOh9PFerM/nE7n6/X+oE8NvVE8+BsLxnHRm7c9nwgVRSw7KCWU0H/Ei0AzwI1aAT3fVa/H9byaDIej+b76EyoyZnfT6g2fDGaBEnNR4YlQf0NFMssOSgkl5Nmdn+fwC/7AmJ/mv27X036zzO621KBnOJroz2xRfmaT4Wis7sTWVy8MtjOBoZWLWcxFLs/4Oh8qilh2UEooIV/uy3E/zuFG+gmx7t54Xg6rqb7j2v9ertfHIxuevFThoWajy8/tdpgsfn0ljLXgjrLvLom56N0nfs+EiiKWHZQSSsivE5NPc3hOzp5bWIF/nTbT8XJ3an/udd+MNu1SFWhK8bVYsme8MXZiLsJ4SVImVBSx7KCUUEKSLrNgfZoD+ANjFr78U8/jYrQ4oBLMazc++BoSJcljtuW3AqMZcxHGS5IyoaKIZQelhBKSdJkF68McdgsLJx+nTsvR+owcjfyOye+VESjfJr4fG8ZcROgOEdFQUcSyg1JCCYn4yg3yWQ6BXs5/7MazX2QiSu7zOWrw5PYpWHMZe78pjbkI7AEPlaGiiGUHpYQS8uC5KuRHOYR5Of++Hm/x2eVE3Qut6s328i9tV/52QItEzEUWp3g9FSqKWHZQSighrz5MPjp3/RLec97qqvtqfMAOidR+Aeu5v3U/it92Sn6X39oq8GTMRaB7PFSGimSWHZQSSsiD56qQn+QQ4OV89WY9ZXbmPhXeBr/q6iR5en6AlluLuajudv9HoaKIZQelhBLy7MgPcjj6fzn/YH2z3unSq2NLEKcCreI28ZrpSjIxF5WuCFQIFUUsOygllJBnb36Ow3Xs9W5I+e3PufGZ3alnv3M5Z/+z1lm7Yi6y96+/s6GiiGUHpYQS8ufAFPljHB4TP29XlP56bYjLKH8n+Bnu0gq+sPMLXyESc1HFGUGKoaKIZQelhBLy7MuPcfD9cv5pvMVPWWsnHzy+raqnihb+Vk82rpGYixoO8X4YKopYdlBKKCHPfvwUh+3Ka8OeyxlxkLP3+baq2i0uSxBeG12Ax1xUeCLU31BRxLKDUkIJeXbnhzic/L6cfxlTQ//Xw28Dma47BN0tLuYi4/kwpVBRxLKDUkIJeXbmZzh4fjl/O/kjuu3ib2czdX+29LtoqdnWmIuaHvF9HCqKWHZQSighz278CIcXcVaZ5oMb9Qft1RM3X1tPa+Z/gR7ll16Kuah0RaBCqChi2UEpoYQ8e/MjHJY+19n80hcJ3ccXf27eTzyCW2nHXGR1i8eToaKIZQelhBLy6EEN/QkO+4XHRm2oP2ivuMyO3gg95stgz8+KRsRcVHgi1N9QUcSyg1JCCXl25wc4XCb+ovM5X9Ge5Gv3enymdxofPXegBT7mIotTvJ4KFUUsOygllJBXH35iXHT3uLr5xnl0fp7Q0xeuV14r6soCHG6LVMxFLQ4Srw4VySw7KCWUkLjf6oDBObxmv3UGgkcnzlsWD2/z1pfJVrBxeKiYi/C+kpEMFUUsOygllJCMsxTK3poD3jjcTifie2J24Hfejz99b7Zev9c4z+xOzipdcTjWqg+stywW+Bf5sS1NWal3UDy/5VJrfOUg5qKKM4IU36LIk1WWHZQSSkisVctNss6u0ipkk8NkMBoNtlWJ1rIduKn2+zMYqGx4nFFuiGabJkzteFlbvM37nZ/TrAYJHqiWoj9qUERpKRoXIRhzEcJJoiLNKBIFr4Cx7KCUUEIVJp2L8/cxSZPDXo1djgPqF7oFuEn2+ntXueiP9nI+JRetFpzYf/q5Q/vcoEj5Peai5sXn+7gZRb7sseyglFBCYs3aHw/D0WKhbsDO88lCL0ze/R6mw3Oyn8waK2AGR4pVO/D0HXjw+ySutZltDpOpJnNdTqbphvi73+M0PbOfTH/1uOimalaP5LWojZGa/CtNzgBztWQ2mv42bvVK3dLocTZe6v0Y91i/XCYbTmIsLXcrxFzUzX907VCRzLKDUkIJ0R3j0Jiv/ybz0+mVHP/tL9t/6tXR2XB5Hg5Wq/P6n57JKT832rjIDrx5Bx78zt9vEkurtsJsuDjv9a3dfn85T6dKRHPeDS7J/t/hPBuq/POzvpy39yf8Oz+VJueAmVqy/jmc5xrG9imMHv7tz/Mf5SLE8E/jPFdT6sDSZp59LuYituuYiqEimWUHpYQSYnrnXU0FUhZLP3qydrVUcT1Rz/SHOsJ/avPaE8IUilK2AyfvwIOFMkr6zEZKfDPOdJ4DnT8V52S2TnQjXv9WyX3wUCeeMzjJmSbngJmazmQK5seRi7RZbfRHgw+32Fz0O/a5rFyTavnEXNTiIPHqUJHMsoNSQgmJ+a1IGbfBervdzlSAq5BWGUPPx9Zea1+Ma6OkVgJ24OQd+N+YeuMy01niMnglT0V4PFC/5qM5J+vFfaDvmXT1eLS5PFpSUaXJBaBWS5LfH72zyNyRi3Kjd50Dk5XaETfL5eoA+NwXXn/SCLBcVsVcVLoiUCFUJLPsoJRQQmLeLFLG32CzUx81rtAzw8PpVlmo5qLF6EGzaQdO3oBv6fiChJ1mnuvgmUzml9ttoJ7wp7PZ6/ktHQ7pOaLXcfFPj1mgT6XJOpVpQK02uk//6ZTmykW50Vua99ZqsIjIRftPLLRutD3mooZDvB+GimSWHZQSSkjMj0XKeOqQTj/WXLQcElNReY9WB37LRa/pv9qdIKZhM323ePyXPHQ6uFdy0UuPkZJROqB5Tkd6bAd8KsxyQC38Gi9mqS8c80WF0czWVNlqzUWXiZpG//gn5qLQXRAqkll2UEooITG3qkBaT5/qLmk5UvccN3WHYstFq3/n2+1GukmzAzdz0WuxHuxvxEjVueKhMs1rcEheaeLIx0XJQr3UdhisksflOduNsuhzu8o0OQd8qOY/R+PLanR9rNW0k+1TGl2qhQi/A/XksSUXPT48Z100IuaiwhOh/oaKZJYdlBJKSMydKpDUPYma+3itBj//fo72XDRIP1uKVTtwMxet1VrHgUoepM9sNfkZ6NWRh8Hw3/6fuUdLHpPBz0zdo91+foaD1pVFpsk54O1nMBzMpslr+e9ns3AMqwqjz6lymA5wOBftST/FRvIDTTjmIpq/ukuHimSWHZQSSqi7o94RXmZ8IsuhAtywyn45/65ndNQN1U1lpNonr1iuUKO4nJkaVuV6j9tzmd8zjlxvgZRGH2/Wa1T0wbkXt2cprZiL3nrH8wnZKHKTZdlBKaGE3MREagJxePh6OX+9JLkhvcXLNe7qsd7f8fa3/GmmORJkKnxbzK50LU8aMRd5cqwTNlAU8XYbQ5FDCTnbL1ORc3gssg9xPqedQw7cOqPTjmSV2C6sp50nF5WlPztVvs1Go0U28nLqtFc8N2PytHw7Klsi5iK265iKoSKZZQelhBJiegehloZgyuGevM7Zp/sIoW74lgEvWmd06mrtR3rJj1ofxPs5kWxqftw5B+U0D9SfYsv1fP2JuciXZ124oSKZZQelhBJyNb/7+aO+q9AcrsfuYA6EbFaY9nK+A6p+OgW+0N60LREeeoLoTBxSldqNwmmykkpqDWTuYcxFXM9x9UJFMssOSgklxHVPu95T/2iX4nAlrrNuRzYS+pUL6sv5RhsoaeAbexJKL+dcpcus/jrelV5nc+rvHwGtkqmKuUjGj3iUUJHMsoNSQgnhHUKWXI6uKhddh3otsp/P31AFKvXlfAwVDfycFIs2MRo1mfE8eY3U/ehjTZ9xflUWX92WajuC3n1iLgrdJaEimWUHpYQS8ujWv+HoOryOhv5uMQ5DNae7yGJDtCF7BdwBdza8nNRSpy3n51zNAoD7uldT1qWDYy4qXRGoECqSWXZQSighn96cjMfD0VBo3sRGdKnGXNulrabjuflw0wV3NRwvT7+jIX1UlJyOOfXHZnyQnurv6JVcPeYiGT/iUUJFMssOSgklhHcIXfI0nI7U2IiuiNUYD6cn3qOuFguj4aQL7nY0Gk2GnFR0zyfXntvxrnKz1kI3bHXMRWH9nT0BCmGTlTFQSighr00cDYdDvSGQp89D46efjex94KPA3fLywXGsARhJ+DVVW4eoKbDdmGnZk6drsDEX1dwR4CBUJLPsoJRQQl49uRsORx5X6Z3SXDQZ6020RT+/OpWMRux8cFaDIk4qStZqT16diTYdH7+JeqMJFnNR0yO+j0NFMssOSgkl5NeNKqI9GtjojDH1kOyWnTKRXmXAS0Un5a6+Z6K4977HK9oBHSqSWXZQSighR+uFTq+G2ZeoEFwDZjoczhk3Qg0Uy6FKJewxkYZT93hq0xDy5z4aLns+JtJtiuMics92VAgVySw7KCWUUEcvtaj/jTyt1Ltf1QzRKP31jBYKxOoMOP1NEKKmEb9fR5SlSalJpf3Sd3YemmSIyZRiLpLxIx4lVCSz7KCUUEJ4h5AlXzs9hTveiz+ZzoF34pMqBXCXmXBiqyvi6s5wOJ6Oluq3VHr9ibkodPeEimSWHZQSSsifWx/T4fJ4OS6HU+Gc0WtgIrmK+EGlovwj/FhQuI9jLhJ2aCtcqEhm2UEpoYRa/cAVeE3Hl5f+XMZdluq8m+81MJFcRXwyGs+Wm/3vxWxE9972XpyJuSh0N4SKZJYdlBJKyJtbd8MsFalkJDuB3WtgIjmiuLfOIgHHXERyl4BwqEhm2UEpoYQEPGWHGC/TUZH+bzm2i/DO9hqYSI4oznOYtFbMRdIebcMLFcksOygllFCbG7j19+FvmYt+JV+P7TUwkRxRnNsXwnoxFwk7tBUuVCSz7KCUUEKtfuAIPH53agVxmYvOw7X++UaZT6+BieQa4kfhSX5O1yF0Yi5COElUJFQks+yglFBCoj7LwK7bw+11q42LbmVe6lzoNTCRXEP8ftxS1iV56DoUZMxFKDcJCoWKZJYdlBJKSNBjGdRre9L55lmbCnl2TkElQK+BieTexf82nhaHCvZzzEWCzkRBhYpklh2UEkoI5QuC0GPzyNJG9RHRrswkAoVeAxPJWcSPR4K3PyIac1Fot4eKZJYdlBJKSNitr00xBHpU1hfl6UkgESmIXgMTydnEL2ZnR+HOEYKLuUjIkWiYUJHMsoNSQgmh/YET3Jq0cyvXXQvOFul01mtgIjmb+Lnnk0YxF+FiQU4qVCSz7KCUUEJyDtNI13SuKB//PLL30XYmPeUVXf/0GphIzibe2x0ds4sl5iLZoGlHCxXJLDsoJZRQuyMoEttGmrld5ubRfqOu02Fn4N3Rbv82+rNX4M/+TS6UkeC7+COLdorjQ8rGXBTS29pWqEhm2UEpoYRE3fo8vEXsfvN2SuZER+DF2kFjfHdUoE+fzIpzjI5FPOYi0ctSIhAkMNiNCmWcZQelhBJi+8em+Ps+HrhOMfHIkPEFPH1vA5HdjvbY0CJ+7eGvopn+juMi44swpVCRzLKDUkIJiTpz/x61z+7jjHdQfQYLvD3uJ9PTazeZ6bvFy3IyWesJrN3htT0eJtO3kdzsqtG7fJbm7RcMjE281wOjmItEgwYBFiqSWXZQSighhCfwIpZc9Fo5JmYwYQrKIIHV07zTerBcnlb/1N3Xbnf+neqh2nz1mg4Xv9tBcz5rUWwvABqHKqe0GSebeMxF+IuuXVIiECQw2pk6JEIZZ9lBKaGEHK3nnbbdnBxXUNx2qEMCTyfKxlCln+dPnhXvA5UsdC7SNbMmPbWtYrfPc1QssULhWMVjLuJdgHYtiUCQwLCzQ5wNZZxlB6WEEkJ4Ai9iy0Xq1wdRMUkWQgJP9ST1ZKP+Gyt69810PB6odKNzka5ZzdV/1c+KdodVVc3Kf7QZMqt4zEX4i65dUiIQJDDamTokQhln2UEpoYQcreedtuWi17TzBMx7vKdncMDTjRKe6sUGOhdNZqfr30ClG52LdM1bLtp0vae0PBdTdpwfq3jMRbwL0K4lEQgSGHZ2iLOhjLPsoJRQQghP4EWsuWhjm0VyhiahAgdcy0Xp7Rmci7Zd6Vqei0GNsorHXIS/6NolJQJBAqOdqUMilHGWHZQSSsjRet5pay46N++CoMik1OGAa7noOdi/HjNwXLS3NoLAi3iTZxWPuYh3Adq1JAJBAsPODnE2lHGWHZQSSgjhCbyINYytk7OE2HaK4oBruei1H/z82/2D7tEOG6dBXIXtuRigaRWPuQh/0bVLSgSCBEY7U4dEKOMsOygllJCj9bzT1lz0WjQfmwORSariAD+uLa/HHfWMdocPLkOWBuziMRfxLkC7lkQgSGDY2SHOhjLOsoNSQgkhPIEXseeijm9rlGH7VvACfGo+5H8zC5+40R6j2cVjLsJfdO2SEoEggdHO1CERyjjLDkoJJeRoPe+0PRdZn1rDAY2r9QJ8XuCMu6Ssz8Vcwq+XXTzmIt4FaNeSCAQJDDs7xNlQxll2UEooIYQn8CKrvfUz2lpPdz/pA3gz6cZrMSfp28VXeJ+Hl8wS5aDFcI/SqUQgSGC0eMxdHco4yw5KCSXkdgCjxnH9rX8ZWBgVH8C3GcayW2ZN2wnNLu5wpNtqyJqYi0J6W9sKFcksOygllJCoWx0hdPL1Ne8D+DHp5pLZjaRvF3c4koTsTTjmIm+udQCHimSWHZQSSsjRet5pRwg9RX83tkLNB3BXzNGrQrC9aBd3OLIdLoREzEUhvFy1ESqSWXZQSiihapM7l10hNPP1Qzs+gLu57U4bVjnEXY7s3EMSADEXSXiRgtHtksRbYtlBKaGE8EQRkq4Q2rkqEJigiA/gbm67LEHCzUqHuC9/Nc2zjmMuYrmtg1K3SxJvmGUHpYQSwhNFSLpC6DpHKHNEfACPnxwmhc5hV5RQfx3iLkeiMH0LxVzk28NN/FCRzLKDUkIJNZvd6dgZQvZZkU62MmUPwJNOv2pvfy7mbKlD3OlIJ1DAipiLAjo7NRUqkll2UEooIVG3OkNo6WsDZw/A9idbWD8RZ7Ac4k5HYmn4lIu5yKd3bdihIpllB6WEErI1nX3OGULHDRsTVvQAPO800U4cqDnEnY6EvRGmNuaiMH42VkJFMssOSgklZBosUHKGkONxUXeTHoAX1w60iKuTXOJOR3agJqYac5GYK5FAoSKZZQelhBJCegMn5g6hyR2HQJaSB151uZ90PBdzNcsl7nakCyng+ZiLAjo7NRUqkll2UEooIVG3ukNocxQ1ZMDkgR3TycYkVDpsodq3Ope425FvEOFPxFwU2uehIpllB6WEEhJ1qzuEzrRlN3hW8sDbI976m+SG9uqdS9ztyDeL4U/EXBTa56EimWUHpYQSEnWrO4SeI1FDBkweeHcw6OQSceLbJe52JJmRvELMRfI+hRFDRTLLDkoJJQQ7gVgLhNC8y4wwREMc2LH8EOJg6hzPxYxAveQSBxxZB/jEUcxFob0eKpJZdlBKKCFRtwIhtKetR8bTEgc+bvHGm5IP2lvATnHAkU2T4Y9jLgrt81CRzLKDUkIJiboVCKG/jtsCOXmKA5/WTlutFddFq0hVwCkOOLKq/5lyzEWh/R4qkll2UEooIVG3QiE06vSaF0BTGvjcYbcl4pjKKQ45EnBFmKqYi8L42VgJFcksOygllJBpsEAJCqEVbb9DPBtpYOdgBUHJ9VzMoeoUhxzpwAp3OuaicL7OLIWKZJYdlBJKSNStUAj9drj1AUlKA/912FSAOJHuFIccCTojRGXMRSG8XLURKpJZdlBKKKFqkzuXoRByztN2tSoN3GXDa+J+I05xyJFd/dVZP+aizi4kAoSKZJYdlBJKiOgVWBwMoSltI2jYUrVWGNj1jljVpKNM3J/WLQ460mE82OmYi4K5OjcUKpJZdlBKKCFRt4IhtO2yhhCiKQzszhAQibSOONXkFgcd2UrDs0DMRZ4d/AYfKpJZdlBKKKG3dnc5AYbQhfa8G89DGpjvN+IOJm5x0JF4z/iRjLnIj1/dqPwr0o1pq2HZQSmhhGyU2OfAEHq5FhmzzeWK0sB8vxFfZXOLg47s6q+u+jEXdfUgVZ9/RdIsseyglFBCNLIt0nAILS4t6txqYWDnjHIrP+LWR25x2JGtPPwKxFzk17/v6KEimWUHpYQSem94hzNwCLk2yOhgMFMVBuZveE3MYm5x2JGdHdYNIOaibv6ja4eKZJYdlBJKiO4YQAMOodsUUO1SJQzM3vCauGcAIA47souvBHRjLhJwIgkiVCSz7KCUUEIkn7QJt4TQuNMvbADGZYFdG3kABLIq4i8kAeItjmxl4lUg5iKv7rWAh4pklh2UEkrI0nL+qZYQWtM2GsPzkAVecrc3+aX9wgAg3uJIvGd8SMZc5MOrEGaoSGbZQSmhhCAXkOtaQujU4a1TkIssMHvDa/dzMSt7QLzFkVa4YCdjLgrm6txQqEhm2UEpoYRE3doSQh1WEcI0ZYHZG14Tn+cB4i2OhL3huzbmIt8ebuKHimSWHZQSSqjZ7E7HbSHk+GXCTjZTZVFgYLwCMyU+gAPE2xwJ8/BcG3ORZwe/wYeKZJYdlBJK6K3dXU60hdCuTYBrXBSYu+H1i7anNyTuy09c/9b0Yi6quSPAQahIZtlBKaGERD3ZFkLAk6NuPESBuRteEzcbgcTbHNnNWx21Yy7q6ECyeqhIZtlBKaGEyH6BFFpDyNdrIIkksHO3Rajpqo64kRIk3urIFipeq2Mu8upeC3ioSGbZQSmhhCwt559qDaFll99khXhJAnM3vCbuFwCJtzoS8oXvupiLfHu4iR8qkll2UEoooWazOx23hpD7zfROdpNEEpi74fWS9r4dJN7qyI7u6qQec1En9zGUQ0Uyyw5KCSXE8IxbpTWE7hO3cqcaSWD3tkIwReC5mE0REm91pA0w1LmYi0J5urATKpJZdlBKKKGiuSJ/20Nochcx9A4iCAxNKr8bLs9Az8VKIVMAxdsdaYCCl2IuCu3yUJHMsoNSQgmJurU9hDZHUYMGTBD4znuHl/hDbaB4uyNNy4OXYi4K7fJQkcyyg1JCCYm6tT2EzktRgwZMEJi54TVxyhsUb3ekaXnwUsxFoV0eKpJZdlBKKCFRt7aHEHhn0oWLIDDzjRLiEklQvN2RXXzVUTfmoo4OJKuHimSWHZQSSojsF0gBEULOnwSDcDF1gsA8xxGXFYDiCEdifOJHJuYiP351o/IuSDeeq4ZlB6WEEnLRYp23h9C+ulXIfudCvp1OxP2NkMDJ46/t97N3tR+1fXPc4egiXTlPnD1X4jX+FaQksTuyJvK5g5iLQvv+7YL0RIBlB6WEEhJtlT2ElptkXdY4p2wng9FosCXRwQH//gwG1WxoMzGr7Tz0tvfrErHZCfEmUYsr/o5P6S5H/UdPx1wU2v2hIpllB6WEEhJ1qzOE5uYHrEeOMcpenT8OqNuYIYCvv3diLnpb+YPJRcSfm4XFnY4U7S4mWMxFTMex1UJFMssOSgklxPaPTdEeQvvjYThaLNQN2Hk+WSzU7dDu9zCdnpP9ZNZYqjw42mBd59DAiFx0mEy17etyMt2oDa93v8dpekKRnP6+5SLdkD8lrhqS6d2W49FKtVBLu+7oUmydiY+z8fKgsvPe2Vq7I11+CHw+5qLADk9CRTLLDkoJJSTqVnsIzdd/k/np9EqO//aX7T/1VH82XJ43g9XqvP5XGyXdaOMiNHB7Lhouznsttd9fztPRX8pwN1CZcv/vcJ4NG/doWUPUb3LPCr2f9Wq9vSfbn+N53pQuXJxiq7VLh3/78/xHzZtVBnWFTP7X7siG0KcOYy4K7flQkcyyg1JCCYm61R5CKuSyqPvRv2K9ULRm+lWQoV5S+FObyZnMSHTQwO25SM3eJJtxZv2pSKUMZ2rsojm//jVyUdqQlU6qud598Eh3pv13VNI/Delqm56DW/Kj3TRU2jEXVV3jrywRCBIY7BaGMs6yg1JCCbH9Y1OEc9FtsN5ut7PhLdFBnkz1zO24qrJ4mzS2GTHnilzUCtyei3T6uAxeyXM7G4/VmCVluF4k98Fd1czq2SW3p1JXWqH1xqORyqq3VHpely75ptiD812loyQZqbQbc1HpG68FiUCQwGA3MpRxlh2UEkqI7R+bYjWxmPoiZfwNNjv1mR+S9LHVdKtEqrloMXoYJUwJC5y05yKdHK+DZzKZX263n03GcD1X2UVzWtSzS94QNWJKU5bWex2G/0Z3OBel2INTJjSMuQjTxSIyEoEggcFuTCjjLDsoJZQQ2z82RTgXPQfpKp7Lwp6LlkNiKtLjinRo0QKcIHKRvjk8/kseemBz/7cuc9FroHdcGtVzUW5PVcxyPTUkmr3Gm1faQsd8UYY9OKWQNy2Ukrf5Ma4vsnqFe1IiECQwuPzj3DXDc85ctJ4+X2o9zUjdndzOo5dtXLT6d77dbrWp7DYGKpYRwK/bbbC/wXluppLIY7RJXoND8pqp6aGUoRoXJYvJMzkM6rkob4ia2S70HpfT6jnaJ6vR9bFuzi7lzciwlaGl+mnJzY96DBdzUVsPy9RL5BEJDHZrQhln2UEpoYTY/rEpOnPRffpPzZK8VoOffz/HxcWWiwbpZ2uDdZ1TsYwAvqTAjWzSgJytJj+DmUqXh8Hw3/5naXLRYzL4mTXu0YqG6PmiTO/28284WLyS1/Lfz2bhWMKYYv87Jc/p4OdnoRjEXNToBk+HEoEggcFuXijjLDsoJZQQ2z82RXsuqki+9PjksK2cESp2B77rSWr1FOz2Suo/6JpX1Imm9lQu2iR59fJQDulG+nGh7aOx08/jBr6NplYS2NT7ci4jN2ih06MmSASCBEaLx9zVoYyz7KCUUEJuBzBqcNffTT/M9/GRAga386gRTwd46Zlpmsr+jre/5U+ecWqSjYNMvHHSHOIcaeSDlmIuCupuZSxUJLPsoJRQQqJuRYaQmi8pP49F9qmcKuvIBSFg/IbXi/JNX73QSM9gj0aLbIAFk8/EnTJIRzr1vVbEXOTVvRbwUJHMsoNSQglZWs4/hQyhtVqKkyRZ9nmdsw9iLNHOSwg42/Aayyj9aRP8kAwljnRku0d8SMRc5MOrEGaoSGbZQSmhhCAXkOuQIZT+MthJv88l/OkO/NIZKN3w+pomDQTBk16pgB9KocSRjkSw8yASc5EHp4KQoSKZZQelhBICfUCtRIbQQ61YvrXcpVBNp/ICwDu9wEhNaF3Rv/740isV9qrpj3S410YcJY50ZJstP/UxF/nxqxs1VCSz7KCUUEJuBzBqECF01o+bprfXWK8SlPwIAT/USnC14fV1qB+64z7L8StRb6MdqrNVgCZGHOFIwILnqpiLPDv4DT5UJLPsoJRQQm/t7nICEUK3sdpsY3tYD7ddDFl0pYAPw+VzdB0P0zXiFjvvp04qb01/p0NE67UyRhwJ9c4lxJmYi0J4uWojVCSz7KCUUELVJncuY0LoPBxONtPxCB/rSFpSwNPhZKhedcVOXaslScPhbjgZTZA8MeIYRyLNyYvFXCTvUxgxVCSz7KCUUEKwE4i1qBA6TlSwD8kvn7VTEQL+Gw1HE72lB/qzGA4XQ7XpEfKDEEc5EmlOXCzmInGXtgCGimSWHZQSSqjFC7RqXAhtdSryMXUtBLxS9MaUYdtJt0e/6Y/7IMRxjsSZE5eKuUjcpS2AoSKZZQelhBJq8QKtGhlCy/FQb5kh/5EBfo1UasHfoqU3aUM1f439qJu0NnGkI7EWZeViLpL1ZztaqEhm2UEpoYTaHUGQQIbQazoabgiwaFEh4ONwRLlFU6+lDUfY1Ui6Le3iSEeiHSMqGHORqDsRYKEimWUHpYQSQngCL4INocd4SIldPAEh4AnhKZomdyCsAECJYx2J94ygZMxFgs5EQYWKZJYdlBJKCOULrBA6hG6j+xXz2hbWcCknA3zSyxfxn/uFtCMlQhztSDxJOcmYi+R8iUMKFcksOygllBDOGUgpbAi9dmrGaDje4+dYkAQkgIkYXsSxjkS6RVYs5iJZf7ajhYpklh2UEkqo3REECWQIPabD5fFyXA6nIm/nG4ISwEQMP+JIR5qWhyzFXBTS29pWqEhm2UEpoYRE3YoLodd0fHnpz2U8FR0ZSQATMTyJ4xwp2nd4sJiL8L6SkQwVySw7KCWUkIyzchRcCO2GWSpSyQj73gSOpQQwEcOTOM6ROK+IS8VcJO7SFsBQkcyyg1JCCbV4gVaNC6HxMh0V6f+W6o19uY8EMBHDkzjOkXKeIyHFXERyl4BwqEhm2UEpoYQEPGUgUCF0H/6Wueh3KPg0TQKYiOFLHOVI4/ewpZiLwvo7zhdx/N0eQo/f3Xp4LnPRebjWP98o85EAJmJ0Ez86p+7bHcnpHiGdmIuEHImGCTWqYNlBKaGE0P7ACLaF0HV7uL1utXHRrcxLnQsSwESMbuL349bx2lubIzGd4U0m5iJvrnUAh4pklh2UEkrI0XreaTiEXtuTzjfP2hzLs3MKKgEkgIkYncX/NtbX+2FH8jpHTCvmIjFXIoFCRTLLDkoJJYT0Bk4MDKHH5pGljeqzp12ZSQQKEsBEjO7ix6PFt6AjLfJBT8VcFNTdylioSGbZQSmhhETdCoXQa1MMgR6V9UV5ehJIRApCApiIISB+sfy0I+RI0R7jgMVcxPFaF51Qkcyyg1JCCXVx0ZsuFEJbk3Zu5bprwdkinc4kgIkYAuLn90kjyJFvXg99Iuai0B4PFcksOygllJCoW4EQuqZzRfn455G9j7Yz6Smv6PpHApiIISC+K3/+uugNwJGFyOf+xlwU2vehIpllB6WEEhJ1KxBC20aauV2Ex0QFvgQwEaOr+OPNb28nRLupI1jMRR0dSFYPFcksOygllBDZL5CCO4SehyJXfPjvSnS2XKgxb357OwF5PXRdzEWhPR4qkll2UEooIVG3ukPo19MoiJwMZmuyin+Ft9+odTtStL94YDEX8fzG1woVySw7KCWUEN9BFk13CO39B3SLhetiPFne98PRYnF/nWbjxVUpbI/7yaQHQ7am45rHFl9/7lTMRaF9HyqSWXZQSighUbe6Q+jjuej5szqfNn/Xyez393H4tztv/6lkNP2Zn3aDY0sa81/ddFzzWLSXuoLFXNTVg1T9UJHMsoNSQglR3QLKu0Po47M0f4PsLlHfoz1/dGpcLlQuGqlFT+uR/2TTYqHpuOYx6PXQlTEXhfZ4qEhm2UEpoYRE3eoOoY/noud4uD6rxKNz0XWw2m42s7HKRXr7kvNAnf/sp+m45rFoL3UFi7moqwep+qEimWUHpYQSoroFlHeH0Mdz0etxmP8b3dJcdBmkuwOowdFUZabXZXD/bCZ6vZqOax6DXg9dGXNRaI+HimSWHZQSSkjUre4Q+nwuUunmMVq/5iv1d1DsoDSdqtOHf59ORTEXiV6GTTCJQJDAaPJCH4cyzrKDUkIJof2BEexxLrqdnioX7V7ryf3xWo7UvPWf2kZpqrLSTWWoT3+ajmseY5wfTCYjN2ix16MmSASCBEaLx9zVoYyz7KCUUEJuBzBq3Nffx8dF15/BcDB/qlfW/g3+HsvBz78f9Sx/uhz/DKbir6KQU1vTcc1jRl/4U8nIxVzkz8NN5FCRzLKDUkIJNZvd6dgdQh/PRerF2Wsl5zyuNz1hPd28/vqwCrPpuOZxp16RVo65SNqjbXihIpllB6WEEmpzA6neHUI9yEW2wYrKRb34NB3XPCb1gm/hmIt8e7iJHyqSWXZQSiihZrM7HbtDqKe5aNF8ZfdDmanpuOZxp16RVo65SNqjbXihIpllB6WEEmpzA6neHUKrffwAHlg13Ox2ZEPwE4cxF4X2eqhIZtlBKaGERN3qDiF3jSiBbwVruqd53Kt2ZeTi3HW4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h5K4RJfCtYE33NI971a6MXMxF4TolVCSz7KCUUEKiDnWHkLtGlMC3gjXd0zzuVbsycjEXheuUUJHMsoNSQgmJOtQdQu4aUQLfCtZ0T/O4V+3KyMVcFK5TQkUyyw5KCSUk6lB3CLlrRAl8K1jTPc3jXrUrIxdzUbhOCRXJLDsoJZSQqEPdIeSuESXwrWBN9zSPe9WujFzMReE6JVQks+yglFBCog51h5C7RpTAt4I13dM87lW7MnIxF4XrlFCRzLKDUkIJiTrUHULuGlEC3wrWdE/zuFftysjFXBSuU0JFMssOSgklJOpQdwi5a0QJfCtY0z3N4161KyMXc1G4TgkVySw7KCWUkKhD3SHkrhEl8K1gTfc0j3vVroxczEXhOiVUJLPsoJRQQqIOdYeQu0aUwLeCNd3TPO5VuzJyMReF65RQkcyyg1JCCYk61B1C7hpRAt8K1nRP87hX7crIxVwUrlNCRTLLDkoJJSTqUHcIuWtECXwrWNM9zeNetSsjF3NRuE4JFcksOygllJCoQ90h9PsQNfQfA7udGw1yO7Ih+InDmItCez1UJLPsoJRQQqJudYfQ41fU0H8M7PBqNMjtyIbgJw5jLgrt9VCRzLKDUkIJiboVCKGdqKH/GNibcwBHfr7pMReF7oNQkcyyg1JCCYm6FQih003U0peA3a93BNPjmxDgSASeZ5GYizw7+A0+VCSz7KCUUEJv7e5yAgqhbRfgr9R97cbD4XC8b96ANRvzeHfb+5mm0gePYy4K7fxQkcyyg1JCCYm6FQqhv/+3GaPHeLg8Xo7L4Riet39t3/sAcuS7dOAzMRcFdngSKpJZdlBKKCFRt4IhdLyK2uo72Gs8XL30ZzWcQCOj1/b53hTQke/iYc/EXBTW30nMRQyHwyF0vDAgv1ZlN1wNNyoVbdRfwC9PWypKAIXPOyTmotB9EGpUwbKDUkIJibq1JYTOrVMnomw+CzZeqjS0Uf+2r+XYSeVod5n9rBMlbEXMRWH9HcdFHH+3hdBzv//j4H6hzn34q8dEM5WKXr/DtwdlaYtuh529Io6LRHtc4ktZAoPdqFDGWXZQSightn9sim25SOmc9/8fn83wrG7QZsOZ+v883FgbfXbOIyEcafN/mHNxXBTGz8ZKqEhm2UEpoYRMgwVKvQ4hgfYRIMpxkZozco2L3HC9duT/ZS4auTvLf83I+aUla5uVMVBKKCHRxvQ6hERb2g6Wzhdt0zmjlXu+yIHTa0d+XS6SCGUJDEdnt58eWx61tmvRJVgZA6WEEqITBjR6HUIAbx9Ve/X8TM0VqWQEPkezm+61I78uF0mEsgSGva8RZyfwCjUEAk6ElTFQSighHEmkVK9DCNkGKbHXBLe+yGqv1478ulw0ERhWhEoH1sth6njEYRXucJKVMVBK4YeVvQ6hDn3EUn2oZHS8/KqljvRvtV478vtyEb0D3no8VDp4M6xPzAK9zMnKGDEXWfusXydfe9z7aBbWMRdZnMI+JZFHQqUDayPngVbCxFxkdf9/4+R9xPtGi7lIsv8l8kiodGBt9yLQ61OsSTHUE0YWstUX2JO9DiFsI0TlHPdn+5YXhXvtyIzcF+0xK5FHQqUD69W3DPT2FCtjoAZTjjiwtlbmZK9DSKaJNZR1a4PLr+S66Hxdw3k7aMV90wh44utykUQor5rbAAd0eBLKOCtjoHKRxG0yzeO9DiFaU1DSbSklScqv07po/ejdVq8d+XW5aH169zD1zPZI1RCUD2WclTFQuaj8Thb0CgzV6xCCqZNqb8vJdPVIDsPRYvG4qoNN+tT4PB/PDgVQdjCfZ5UN0TQXHWfjpX5Yu59Mfw/1S73Xjvy6XCQRyoe3fYCLjg7w97ANYESZYGUMVC6SuE2m+aDXIURrCij9s76ct/fkbzI/nV77/eU8nSr542B7+d3kivnBbJlVNkR1Ljr825/nP89k+3M8z4ermsFeO/LrctFewJ1lx9b6KdDBqX51eLPKyhioSaby/sAb9yawQJ83Ift4fB/kC1bKW63nQD0v+6l+deYHOzXeSSvrovroR3truE3+KZHXT/1q67UjM3JfNHd93Ha/ii7L7hhshL85W5WkyMoYqJWkoWa8THN7HUKGZufSeLRJn2ykCea5nY3Hg3Ny0/koSR7Ho9pLPz9IdrOsMqmJ6qN7Kr6a3wb6Pm0ec1HnXnECSAwrbjMnvP+Kx8S/DW2BNcmPmvDetDw4lm/f/0sueh0X/0YqhaQJZjK/3G6DU/KXJpXkOpvNLsVBMh5nlXVRfZTloPUs5iL567CBeF00TjAOQ6UDO7Wh/bT0WdboBTXhLTFlR2vt/0suUl55jdXMkM5FD52C7ioXPdW/8pMfPP6pob2urIvqo5caSiXJdPVK1eJ8Uek6+cJdz+Z1/QRKB3aaqDkZuyrl7KZyBaP1ULlIYsoOzSgV/D/JRQ91g/Ycqcaup8/Xa3BIXjOdUJZ6kXWxQjY7eP2b5pV1UZ3Elur3QX4Hf8lqdH2s/8V7NNqlRpF+oZYGtyCibkVaMNjVrAdcdGus0QuKm8SUHa09/ye56PYzGA4Wan+r+/Tf4HYYDP/t/6lc9FoMfgbFLGN+sPnJK+uiOhc9p4Off8pjr+W/n82ieP6WObzXjszIfdHcdSIxrFikM4S0eBCTXnEGLHTrrNELKhed1AUf9tPrEJJ0xeP2NHCvm0pL6ed5yx+w6aP04D4tK/U5I6qPHqZuVK5L0hVxv+vUC2L/ocKlxRprzNCCia7eVx/RorXIgqzRC2ohgMSUHa05/ze5CO2W57hV9O94+1v+FOksE++1I79vXMSak210HCtOGxjsw3P9Fp6N06LIWkSFykXhH0P2OoRa+sFTdfuU5202Gi30c/3Kp9eO/L5cJDGmCf/NXrke7mEe6rNSHmpRUvjHkL0OoUrXBiy25yIbmV478vtykcSYJnw0VS8M1IsWVQVWmbWmEjfo5MUBqxWZUq9DqEO7Oqjypk177cjvy0VntbKi8ydMOnDQnAXZTY21+AH35jEvDhzewJzudQhhGiAvg1p98Wa21478vlzEirFmp0hMgDcx0cfrIOuWWYsfcEuqg3uv1yGE7ndRQdTM3pvFXjvy+3JRIrHAKEw6eLsUshOB3tTn3EnhJuOWofd/6nUIOXrZ82nWKz7xmb5wr0h8K7MeMkm141qsW5MCtONwFnTu6stR7MAJLmM5lDmnYy568xrubrqp1mtHfuG4SGKtYPjH0pWrgnX3VNFHFjmjeNzOTjgpJE2MWK9DCNMAeRne90GvHfmFuYi1oLh5MXx08pqTJZoNaD/GPROr4+AeUrKWC9QN0Y56HUK0pkhJ86Kg1478wlwkEglh0oHjwsPdCTmU0ac535y4e9fgo8pehxC6Q0QFcd8aTZO9duQX5qKbxJv6W9TESLMrhY7D7OXGuZPCvWoW6CbTeLvXIWRohizhvjWajHrtyC/MRYnE/ZXElmzNjkYfPyUeBbZa44wfkQvSOdPirXwBgV6HEMDbYxWnd+O7seIdInF/FehFDEfbJR4FOqDNac6dFFIH9aqIYdK5FHPRmwuR3xoNvV478hvHRZyJkEafJP9r7zrUnVWBoIk1TdOLUXn/tzxgiykm4AEFHe93/6jA7jK7zkGapO8/7U8GSKnBk8QPF13epDgXx/Rif6NKWj9CDTt7POX8q/FikdZAmshFfJ0aL154vRx0tqOUdSyvNXq7dhp74bwlfr7ByV/dOis+q+S5q/UjxFMB+Xk4/2q8KNYaSBO5SMoqkEE7jDIZXV4vYfZ+2eVdlm+ydqd1t+8Gct/R+hHiroXUjJx/NV50ag2kiVwkpfOaYzOqFz/KvOxlY0m+xWXP1eJb9trtQXjWJHKl9SMkUhGJefn+arwo1BpII7lIStdpL/3HL6FQXx6etyGu70s96TKoH7xsvtVikJ9/sqslUf5trR8h+dXlksj3V+NFlNZAGslFWxmQDjrDKPm9RehLFHW47DKNiZPme+5tk+HvDgBqXaTTpiFaA2kkF10kfCONSBHSOVr72MOoS/cm55LLXtp1D3C1foQeZvZ61qldrzWQRnKRlO6KfvqP28Jz28cG/FxfpH62kHN5SrcR5WdVAldaP0IC9ZCZlbMF+6xSayCN5CIipVXR+y48zbC4yVjI0hT46Xwt/ukl3mVOvQwE1nXS+hGqrez3pMvSZ+xfJN9HUvp6jr1/5qsJhMvXSdwsIny+E190xzvzqZeBwLrC4KIaivqkyygpuKiGT9pJl17ZN+X9rAp7U1veiHp4vi7iXz/iffnqMkbXBsXv+z1g9dsIzXJwvk0/W601kIVxJn03loErpcOI9Pu3/TkoSNzDl4k6zKHiLXILXuqj9FLrR0hpzduFd/proDWQZnKRnA6jngeDXsIquL7cUHDZYdEdb0dQhwUm3Suo9SPUvVr/KtlpHY7WQBrKRVJmGPUyyac13vY9THfkHKFv2sg7bUXGTr9NvV/PtX6EvlquLrHTpiFaA2koF8nZvn7RQ9OkNRhT9/lT560Z/5HQ4W8n7/cleu351/oR+od//lO006YhWgNpKBcRKa8IfTRN2sNtdWpPk5TSYbYjb5cob8eSlJpo/QhJqaG4kE7rk7UG0lQukvKK0EfTpD3ITjI+gNsuPk/xkx8Z3pK5N2Tpo7+rsk7rR6gysuffTrtVaA2kqVwk5xWhh6ZJe4RmrjBRtAtrSYmEP1HLO6hP+mxUav0ItUCv+nanhqnWQJrKRXL6nc8yFrZ1DrpI/ToQ8YlY3NMl5HiADzytHyG+KsjP1WXTEK2BNJWL5Izqkx6aJu1BeFe/WL/DojuPd0J4jz3/Wj9C7Q5Wm8I7+6JphdZAGstFchaXhuKrJJqu/ef5SvgNSlih+HxO7mV6Pb6kaf0ICftEUoEOk8ewBkQS9s9ipHwljfSyRPXZ8MbVVf3kZfH5nNxTt9Iuf5gbtRc4BRd9AKvLpiFaA2lsu4hwv0t8cOPjln97nPd/5iuf4CTew8m7OpaQtfpmXekSrR+h/sOm0Nhl0xCtgTSXi+QsLj0Mulj/KL54VTTyeecu1nL52euyqAspPtH6EVJc91bxXTYN0RpIc7lIzurMrNO2wa3xIZjQw7A+93yh2nT+vay9vna91voRqoHr+aTDAh/0FynykZwdgOQ0r7pWcRt1LclbLhNeasK/MU5vvdfgog/u7vLBTK2BNLddROSMgQ37MetEfbNM+M8n/zTSVL31xTOo9SP0gSZ6ubXrgEqHIr3UJVdiMBdJGoVaql8W9sWd6uc7Cn9jQICdw55iuyc1X/ykYRLvdsBN07UG0mAukjSSdu6tB7YZFNV5Dw0j4V4d/gmgd+EXwKreYr9aP0JiVZGXW7wnkKC/SB78z5LkTHckws/qsxX/vAqVLwQR7tURGKtfH/5Zfb7i4KIPOImv7wEXfYBRzi1J27TuBx3WT5Q3LYR7dQQ2EJDkgl/xAC76gFCXTUO0BrIwzrT9rkvPSPk0EcnkDMh9iBauW+r7XEQ1iCxi66dhpPUjxOVlBZm6bBqiNZBGc5Hw28fniNj1sNvrZ83srvqGkfAa3OW53dyXlH56jLR+hF4Q6e2yw0Z56C9S5h1J21ak/J21KqqivsdIdA0u/6g+IeoHAinm4KIPgce9u0ujrNZAGt0uIgJ/wBsOeTvt5Xl601rdSJRToejsBxGOz7osF6+qzvur9SPEWwnp+TpsYKQ1kGZzkUAv67dI6GFg/Zv6rfJ3xIXgHCqRrYn6WNGn9SP0zbVK0zrMNNUaSLO5SNZeaKK9u3JDLHNVr+u6+mIWC3XE9bDxtdaPkBi0EnPzfj6qoVJrIA3nIkmryfrpgW3ExPPpQflWtyuxeUBCWxOJEt1z3bmutH6EuGqgItNCfL8brYE0nItkzW8ZtmFElO9jFHtiH2MTmO5IyEr55phaP0IqaIZLpvB2MJoPAhjORWRx4XLbr0wD9xidlW/wuBHjC6He7kT5BC1w0acAFl71DC76BKO0e7J2I4siaSZ1EbRQvUWiKNkK7Xd5Ur2kD1z0Kag6bBqiNZCmt4tk7UY28ByjuMOYyKfwbL8nSLZCvddEsNXVbmVLitaPUIvN6m/zfuK3YYnWQJrORURS7zVRP7DeCIn300j1uH7mCfV0CvVek0zx+mKtH6F3Z/Z0Zy++rFprII3nIuEFDi2BMvCqNEGqaKnEt9uCfVIbobC9+mJ9498M/ZAmZMuH8uO8dRT/+6U1kMZzEZH1Heq9+n3wvz0SJ+Xd12LDXYLTHCKlmx1o/Qh986rStHMesbyf1sxN0RpI87lI1tco1LdMvgfmUmwK0Hdhn1IF15qINYyyQGXvu9aP0Cese7l3ZdPSrkJhozWQ5nMRERry+RIkykeDvuimSXfl3df71XcLnlMFG0aJWH/Us65fV1o/Qr+MV5J+pM2hmDalr2JRozWQI+AiaQuiRFdtSQ6yrdLXHGZsILQsTXD+59VLJQPyEKf1I/Qws8ez1DkSumnI1RYLGq2BHAEXyRrWJzfBycmSQy/z5czbbDcrFtoRQHRjJYUrWbR+hNrxVpkS2evUuTq2UHeR3puvjICL5G2hI9ZFIj3S1HPhXmjhm+jGSqHY32gB/MBFb2CltuPbri044qE1kGPgItE/4G9+rW4I9u5WxaT9qh2MYmYuRZaCpKJrO5aqQl2VXGmeG0BQ5DqOaws2pbUGcgxcJG/a707ZX3auYFX/lpa4IjMeRd+6Uk+oQ4oLkzyT1o8QfzWk5kwd27ZdQZFaAzkKLpK1Wp/OH74KOldu9qvyHquz0KREsc5uOhboCf6d5oTvmHBmnFK2yLVtwZnXMf9G+wXbAgAAPZ5JREFU5gMgOQouItK+/XrxB/BBQ6X6tzShTh3hHqxYzch+onLyUgN+o05Zw0jQ4L3S2fGCxrxlHwcXCW1x8YZB88Z62Fas+rc0sUmJYdQEh+P8pmZlmuDffw5DR5AlsoWGImiN9YZxHFxEAlmNT/V78Xx/CG4KZ+kUmu8iXUbi299elZDRKf4O2yRT6RwjsRH9g1j2vkEdCRcJLvz8grJof+0XUZ2SdqtOxQQKXUS+3HES6l9iVlw8FREfCVRwGlmzLe0vst0d/2tXMmyb/6dbRsJFJJDWaSqtifUT+88ZFkILjD7L+H53L7L12UZ4MfhZRcvohh6jZ6cmrr06XA4rm3v+ahY9S9DuaixcdBZ5vr56Qf1b0lf19Duyyt9H1gL8kvnCr79nkbfA72A8Ug/DjnA+DNHjLHPtdcaOtc059ppF6tboyMFkLFwkcft69WNZ310n/lr0Xd57qlD/tdjCkVzZ1VVAHAdpLd93QMy7s7XXdkipKKS/XK9eqfZUVC5QsX44g6u2P2QoTj6Jjim02qN+LKtVdZEg/lr0Q+Bb8l2ELA7iTc6bK9yYerPx7cZZoGvkrfDYbrgrSkMh/T/KVjwTHg8GPMKjaRdJbBipn3H4/cno8Fr0XeB76lVkecdKfCg49hT076S7ncis8fdaj+fO3T6yNlFAqSg7/lwfG++3KsYTZMM5Hi6SuP2Q8s2nf3gxFmGKH7Jakk8CcwfSDrOpE19k5VuLke+3zzscDIHQPtMXtMAO6L9nO/wBypl/rO0d8v7ujIeLiLwtN4ZeCkKOgfLo2QuoiDt0p6dB1F8UT05T3S6ifUa/20WGwDMiLpI3x4gM/ZZGNuoX6YYCE5nOIlOSysjPlivlhGrIQ6bAzLy/KMr7jNY8/UUKTJAuckRcJG/yNSFCq7akO4WQLFA+y4isBEb2RVpRNRxhgCWtNRiST3Z0/Iz2FVEy4hxHk6xfhbgxcdFFcGOpL3j20H38RTtNEtvc47usltQsEOjSEWlF1foOalbK1vInfJJ5ovOL9AdrTFxEJG5YfeOezqrIxxeBzuWOJqQig13LqIOWq6toQ6MOtoysSELJ6HA50qmOo2l8joqLrp68gNtJm6/U0aategPuAnufZX6Xt8a7Lz4foCNeUyuW7UTXo+mO0Ki4iKy6PC8tLlK/LqxFcXV7FVVnyn5jl38ycyJAXA+DU/RgP8CQfSa05YJs5fLljYuLBL/p9RXOu/pJPl/1k8xXMF/wReVNYAL2vdsLV+QrX1/3UqnpXC5u248vwXv6N3mnPnokAz0uLiKin674huZRXlf4NzXtaUIrNdrFfE25CKxjjbut7Di7xj0VXyHrP7H1+zTrc/BxMHRFv24tMkzaf5U+aRwZF0n9kof6dWGfPNK4d+2hA/0sMI/x5nRaZnYPNphp1HCr8OmibbZZdGjnImEtgxcYGReR7ce/E91gHnxgnxyFdzITr+lJYO+zm0D/UsOSbBOYsB6qYfFgpzfaokmXtCF5ish15fkh3ehjbzvLZULOC2/J1uNtj3uf5mLHPgrCvVeMKhwCd8VQ3nn+kbWLdqzvtCoTU1HrhBXR+BgbF4lvivrFOT2sC/uinSVFApOjf4hqTT4KjAqL9C81FR67vd41RUzjPLHu5GTRL0AsQrLbXc4+Pb15i9MpO8x2l2hG+94Ce3Eq26fndWAvzzuLctd+tjsv5inZzfbnwKZcxBpTdZn55nKOdP97MDYuIkeZQ+GHobuMSKdpPYKPrRgZ8Y+8Nc2I/ah5ifM2BJw92aytjMwKukktyj75O9qczUxd079NwWPNx20ROPRuSO/M2ZNsR4Rly2YlF1Vl7pbubSIGx+i4SOZKEOr7iIE04CE0ObqrnQeBllHcbTSNZOsA42kcDtosiXPxzldKR2kUuK5FOYlxUWxtoojeoFz06D1KvICyDrlY2Z1xFlkv7rRdRbMUXPQo4zpht78hHBZLyzI+LpI54ZF+vLFTb60099DFIH1YcPD5/27eRWZrN4E4uRJnfzUFj+r8NE9mWbjZ0nczb3GJY4sO2jMuulnhlh601dPsrrZzYrpaaZxz0CaI8xbQsuCiR5nssJw5eEfrPVLWAsusfho3fJdRLDAF6Gd12jKIkFHidQQ4WazSNgNwv0QgtTYBubh0xxXWdUTuFRel7CQ/mlzk+awX4TAjGWs/EX9d/DoFFz3K0LTMlTiskxsi+5/xtYvoslKZEd/HUNZ3pwrtwfhdVHuqCBl135po120crt3sEaZ41pYyi3Wl/+zpfg2MgjZ+mpGVQ9/CYvqm1eSihU/TE4eyzIrO/zhaN7Kk6xj3VsFFdZmEFkud4lnXF7IRchHZPl6oJQAfUr8Oe4jswdjZUhEyytg7QKfj5kWYavQduZASCvFnNNPesme7GeWiuz+z4mxtzWdz+prb5KKNt/bmFtsWL/VpMn2aE8+aB+U7Gu2kK8rEc8u2lrojP0YuyuRuVbHo+EryPeREUjvtHiSigOUV6cAmm0XHtme2wZIQbs9k8RN9ZHHyWpT1H93LfqCkzF1d53mrMknc0WGvGhVej5GLiMQdHin0SR8dNt9dHC2egvJ75q6pR4FJj2Trd+0JPbmDc3tXhPQrdwj1s6mzRaPkIrKUOmJzFRjy7uyI7wU3q+/pUlKFyOjUmaGT1aIrj0mp5hiEJMviOPURF30BNk4uukvtviYHgX3qFTluLbUPrMVIkeUg5Np9yesRo/stHuC9nZ2L4zb4ZFxeiznyjZOLJHdf05mwHFCqzbLsozV+ElgoS3tUo65VTpZoGnXF7qlcxqZdj+UYKRfJ/qrQosBpQK9niz52SDwLbCFCstWyc4comkZyYsnpoSNRjqW/pYyUi8iZzluVeKR9zH7+bm+q5uuHL0pF9jOiS8a9zus60DR6Qb7b5ZhGJcfKRWQttyXT5XOF3aKrtVTSacfpVnEtCVeh6YjnjqvTmPIDBtRafCBwe0VnMY7lGC0XJZK3iD2r/y7Hr5jqh4xuQvTyn33SklXA9uPB8Q8EQrpdyFiO0XIROSzl+mjXxxyf7yYnXZelfhf7knr3RGZEZOE/XhPOHtsrDEd3BPZ99CJ2N0+o5Hi5iATVYkIhQNozazCY1g8ZJc1VBu14VCmn7oP7JIuEWmGVSvxWCJz6mOtRKVP8O2IuiuVOMiK97Gv2w90iXzT7IepLsuAA2T1Yd2/dxMGyc//3lypMJem2GE9NR8xFsicZ0Y8Eiby8qImRfsiIbpos1JOz/U/r5uhtMA+7a7QkXteS+pUbMxcRX/IgQ+JJFtghHjpvZSam6yI2yBUHq7d1m9wKs70bdW9YcasZZ0Z7PNUaNRddPckzwW4i85IVBYlY13JnI0Tn/+z/0WtEd1N1d5Jd1bnihhUcfq2kNMBGzUUklL1w4iJ5pkAXP/YztM/m/2xF+OG+DK5dqlOUSTbuDm2jDvgt/gF6B3Uqi4ybi2QvBSHkOPw0I5L0MgObbs+1EZttfvbzD3R1DNd76ETd3/M6KjW/2EbyaPGAiIybi4j0tzSyG37NPt3Dr3Cb8ri5BQuhHrKDG/6DTtKtu8GYmqBT2W5qIzlGzkXy39JIKHkOZZdA6r7jtKi2cxCIfAkl27rhPwbFsoO3OIq8GIpWZ3z5j7K7IYaDaOxclMkf+uplK6EfEZHln+/7kUlO8mXh7QQaO+nOXf+ncXNZO6HQfALRWib36+m42202K7odWeDRY0FPVptodzhd/8GjonZIyn8Zz25qY+ciBW9ppJethH6EasY+md7TEUfu8shPR7Rxszz9o3GT7n1/J50Usvhy2G4Wnu36y024251Ol+v1Gif0uNGTy+mwizZL33aD1fb0vM90TzB3U3P3u5XTsNTouYhE0mfJ97OV0K9g2fT5XYfzxg12/M2V88r9V+PmFnn+tlCXXE+n/S6krZi8DcPaMV5AmzHb3fF652G8++UQrXzHCVbh/nT9SalpfN5vAsdb7S480n95SXn6iHZTGz8XZb5IhwdX7PSzldAvU8Kg10Hw2zZwlrsr5wOa0MZNySa/6vExPTmuXMfzXNtbrCnvHGgrJm/DsHZMEtNmDOUn1opZhIdLCwwFCdneMjpcuFiraUhy2S4df3OQ3j5rKpFyLnulkxSjOgkZPxeRm3xv9bNG9ZdDtwJfnv4liys9Kx9Qvv6g2y5ww3MLUbTpS2/nPSMZb7nZUbZx/fD0jQ7S2zFauu563+TIkoT8FSOhNkU89+Nj6HnCVeCRLDFPwOcNiRpViZoAF5HdSjp6iafDtI5D920VuyNCH9DAWUTnn287VEVyWNHGxZHjaWHdOdE6cNxgvT02GOR+WHtU2+H2rT2WnKOFs9ieLsfdZunZ/yehBjp3WoWF/O6rhoZ/nq6lN/v/aVDn4lPgIrKQv+HU3dUhBM6dPwzUOWDygtl1v3a9zZGn1XGn3EXpgTLM+6cGMzqmRXuUl77rMAI5f+4zzq4HSn+0wyeiHT7XpEmCKR0Vo93OTITtOLa3OvzuERKv+pV2X2lLR9HwC7bFEf1YYhJcdFewciMW2ov1I/YSboptwihBYUPE/ZS/wXxrsNS57/TNaxV4djmCzj7u5XmO7dAxLUYwd443OdqpfKAjXbSczQ6HFrdt1/Pz4XgqgtqRntbO8sghq7aL++S2pXTUZEHukqozHiLVGvqSPwkuIkcFn5G6DdQmeY6MuzfovFv2BrMSePrLEXQ6iE7bN1ws9lzdx1X2mRiy89pZqWmy3iJXkeRHrTqcndcdCmlZZBpcRFYKtuLUg4ySIBo2sLLzxln9Zz6RbPOz09Ld8rw9iiumkiM1ksVtqUqM53ONE+Gi1FOwnPkq8jGxKnSk/2bL1b8aGBIMyui70b/mE0mw4UnEfesu1TSOkq23FFqi92SXiovUVSF1CJkT4SI6/VpBN4IeZETC4PP7Sp/xRCdLB/JHCP5Rg/PCP6jh6FPga1XT0XyucSpcRLYqXqs1IaP9EGP7bzxxXem1BdFtrcoevWrq6/bW+BYZnDcmw0VkoWLsUxMyOmsxw4DotgURtWeroDlMHy11kjmf20Y2zd4ZG5YJnk6HixIl+8NetRhNI/Gww2l10NEtiP6zZ0gtR9aJus1rqWRFPCda99F8rnE6XETOvor+A03IKAk2ojGsJj/dM0Srz3ok4X824v6GEZWsoqn9TeXHtJ2CMeKPilTfnBAXkVDJ4yr2AXpl/szWCzWvI8IW0896/GsHI2GFPwrE/9qI+5vw+0r2l2a+aWtLG83nGqfERUTNSM9Nj84a+k0zjnVfbQEt9/7BW/FvMCJX9SdpZ2+jiKev/nrwMczr8lOdDbw3KS66K+kyIrEmZKRJD3b+FBz9pYIZXV0fMIWfyt4N/qI2ms81ToqLyElJlxHtOdZh1T6hdmjUdXDSio3i/3xn+ysF3hfLgZtGY/lc47S4iEQqZhnRIV5Pi15Mki6Xil5Gvj6OLYl6sdFW/s7nZb3/9ZnKFuxEbo/lc40T4yISqCGNpK+vBP2K0a0+nUbUVK3Y6OZFv9DrmH4P1iqGaHmtWejUN8dr9Id8U+OiRNEasv6+EvTBic1bZ1eP98XSJspG2jwp2UrZUGPoDzhuMJbPNU6Ni8hFxcI0+uBli7BJCcOdx340nPIPmnVio52nihiPznBr1MbyucbJcRHZKRoC7fMrQR8e+cct+ud/4M7Uhy352dFbDdhqeDLmqmzUK/YG+1t0GEzzE7b/vpgeF5FV9G/UPgvo9StBn00o7u71WJjyMPHorTVZwKlufrrCN8AHkB/PxvK5xglyUVaMwO8/9mLvOJvaH/NFr18J+pjrYzzJvXn1Cr/KlfpJ2pazd2oveWXIL7018m9ufvqL8UtMWWW+bFvvcGo2ANtLtad8wvjXvbh919Iahl8ydEifIBfRuYksYj5/eHXVbO9u2p/oz9+Q3nvPf/6fpPXp7nS54hnc/1JBTmuDJl7fytCVIaHEV8dfemvk390cNbZ7+iWGFAj9zJbXfD23XavRA9Be6jXlux++p9KuSqcB/HPmz2HayK7T6RS5iJxZ//V7kL755YsnW5JOiobp3kz7eWPL003bUoufwh8ZXp+qR8rbWbZ1Ix6CfCv46Qa33g9uPjz+YvwUUyD0M1tuYkLO7sF6NLfbS72mfPfD91Squrmb2nPm56tPQGp0bxJcdF54+cjy9njwfRYrC8c/siDdHvdefoMcAnfF2jQ7mlxl29vOsp5TG7I9S1mDn5bx1+TFycVNqifI14PsPP/I8jJplehKKr2TH/X1deX5IXtImRD6kdudF7BdTCuji9xP/1YlbrQK6ZK+VZ4iElMpjbVR8cq12accaynnhRvsS+Oru08VrISyMixr9VNlrjQ8K2JPVbqmL2qlovOGWXqo53+XUgtL95G7juj08CdT1ejNkWdueOaiQvXJYWHPHBSEVQAwsxsBUVpVIhSEZeAUuV7/fVTo5tp11R/C69ipMH1B7ckPDeGF3DK1xql0T5WPXjoRIc8GV5nzMK1im0ZWEZZVUc1+p8BFh9nuEs3oe1lgr85b60J2M38V2PRBDuzleWfRh3k/250Xc0oIzHlVtpu3ONWbyrsMqWVeZnE6v3JRYNObhR46UhPND+cFk8+kVaIrqVUA1Ne73eXs+/Q2uxNa6/V5M0tJbXSVv/FblUisOzlZtCidTzDfXM6NfeHp5dFbpLWUgxVdjiFVwYyv7j5VsBJKyqzlT5250vCsiD5Vd4fWshKZWGzUfF5/nKSUWlmauM4+e5agRi9Dfjfbn3M3P6ArVbsOXSxXOLMMgDJLHRClVSVCta8ekppnjwql23nxRLHkWlgdOxWmL6g9+aEhuJBbplY4VTLKfOwyWNHKFlH0krkZgI+wbKjQ6XQKXJQ/GWvqr8Cj0NONfub7zD/MGK+wN+3QpQ8Pw8GOSi4qsz0RTh1PAc1e5GO/5ZHfLPQs/e2M/sXN5iUXVaIr5XWRSgu7kVqMKtkdm7HS/Fg8zszoliMv4ezJZm1lZHa+W0kzY3G58+qqz4s/14Xx9V0Wqs0jF1pmLX9qQ0oNL4qC8JpX8CGSVvs0y16l1pYe1u7syVSWU75eVjNmU8bcXB+V8W5IRxpzLqoCoMxSBwS7ZlYVCL36rhaYn1RSSWxZs71H/7QVRy2sjp0K01fUXv1QlK/kPlKZRZWMUgm7DFnzmx4Pg5tXVQCSOizzzPr9MwEuiq1NFEXsKcz3G9ss77Q5cXfpixYJWKBerOzOqICsFyUXsSd0QzshH0FASB1PxaZlzSSam92s9KTBnElbUNk0Vy26VE5TiqO+TqltrnUuzfNZZ7C7q4RVuZ9+6xLUSOfina+UjlwnZG921VFcHud+UfU4r2Cp4iG7WYtKaJm1KvHIXGp4VhR4M/qCVtedvqtRHsphLSyppDYsvdl2c1vUKodcvTny7KW7YQu9quqwox+UyrmoDIDC2DI3DQhSWVUgVPuqyvf8W0OSxJF1rMmoiq46dipM6V+dZ9SafmiILuUWqaVFtYwiX365p3z0bHDjqg7AmIZ9EZYNFTqdToCLbla4pQf9I8le08lmEbM2xMVmDSXGOlcrLdy0oWOjzO9ltuKictaDi5iQJ5qil6xIrec2Z2P7JRfVomuppcT62ltc4tiiT3R+J5817e5qYWXup5+6xGmezLJws6VtqeywnDks2IqjuLxZnksrv6e2FUm5iofs5jNQCS2zViUemUsNz4oCf8bexx65iLO/5+9phR2V1IalJAuduV2bWuWQq5fWLHdz3vopMaE/pfHUmTeXUUUVAFWO+rqyqkCo9lWV7/m3Cclica/IqBZWxU6FKXlFremHhuhSbpFaWlTLKPLll2w3tWeDG1d1AIKLGtAOdJqy5zw/ypDKWCOEOHT0IWAzMw4zUtxhLSXm9zrymiGSc4THwreNi2o9mbWi32Yo+4tq0bXUwpZaC+tKoa2nFy6qhZW5mz+PEqlF+fPilp9rzNzctCorvaRSDvn6tEpcbkR18cSotdAytcpU/eZSSw0NRfRtY0b/njVy7byQvWsWR0Nq01Jysqs1vI0cuZsqSdVvLkdYL/Nj6WbqsqeDyWLOvNm05VsFQJWjuq6tKkLg1XdV9sdvDckioLs2FAFXCcvVERo7dZ1eUWsG2kMmO2Ny89TKolpGkS+/vC1Ilfyc+QEDje0sfw5YWGp6TKBdRFYOfWeK6RtMFVJLOqa/t2hwBNQ9iUOf4JWbkCP7c878XmUjGz/NKr+FDu1Ptr5x0UPP2tm6K9ZRwaRVomuppcTqOrP2JGOGFHrLdtFDWGXA4/dRgnjWlsaYdSUJrV6aDw/l+apLWvU4YJ8tzDG4FioeshsVfAgts5Y/deZSZCX5UYvbPCrlM4zpA8f6JcrjIbW2tDR15W4SlumRQ6beHPnCzc1nrzI+d+bMjh8BUNpbBURtVYFQ5asy18tPJXV/p+0u6k3aAcCAeAivY6fClMp7Qq3hh4bsSm6eWltUySgzssu7+4DxOXMzAMnauSabp/6zhjINTqfARdnams/m+QguRXxD/4h41jxYrpfbYO3NrYDyTerTLAyLJy66+7Oyn4XmcK3ZMu9iyBsfLF/jyIO11pOtZnOHdfywXJXo13iur/eWPdux/oP8TsVFtbCGluq0LkFCxp/+jFLt3LKtZc2c1WUhhY4aZUtrbi1KLqplNytYCy2zlj+kylyKrCSXtjCb43lY56K3V82e61pqbWllarZzt8zeOodUvQz50s0VavS3Mr5w5sJL6gAoM9XXlVUFQrWvGrIep5VU37Ksomf5lk8zq4XVsVNh+opa0w/vcovUyqJKRpkvv7QfMD5nbgYgYWEZLqnDND2mwEX0j2+c/w1++ODOuitSn65nzM/oRRLXD/Ij29PZ/UXGU2Jx0dBzZ68AxfFLdPZZdUNYJan6/VQiidMqmf1Wl0zKle3ckzYx+CT7IbTMWpWoMpciK8lNbfS8ylX0wdSJD6n1rcq2NHRZX9Mjh0y9ubbKuW+qSe7Mg08he8pDSaK8flj1KNx6VkJSAUZ7I92iP6wSXsfOI0shrEbto+wnqGuLXmTQS7abWp2cS3q6agYgHdDU9ZgGF7Wgf2f91wqO2yG+rebDf+e+rlq2DtjQXh/H/VB2k/Mou6+l7c4rpLeybbd4+QOUN4Cq1P/8nhRtTfPZJr7d1IqwfKnxZ4GD3J00F9H5RcWfL9LqoGRZHL/bRA33xYHjLO8k+vR14U4CG7K/n7ZKP+VjOR8Kt5b4kPdxq72U5zx6ix75389KCUEQ0GmH3Mcvve3pn1WExR+jutjyMWv6cwGOu4UwzxEKGQ65T1lqi/O7azYY8/Mow/JnvqEyTJuLSPXnqxj4+OCE7FwcrWT1oUx96/hh745/Cawlt520S09Wi5J3n8u2l3jO93zVrVRTRi3h7K8+GtbMXJ/Xpeo7zye/0p9z06uCfLLzPndzJy+/yixtYH2L9FDUHn2uaMRevLj4KLdJ038mzkWkbKUXfx6l++hWbd11lRLl/7PvmPfO/E+GktIHOvlAiWAOoalf/BkKOfIKZlnkPTMKBL/bcYjoZPfWv6fv+fW8M3UuomsomGNsRVxRbd0VFzgPGwPJ8nPTaFirqHb6+bLBelTvxc4KbC2I5CPJPzyiQPCTnUf2Knhe01WBikL4SZvSi8lzEVlGFGBb1R+VbFPslqO294A3RA6PZ54tYdXneOrE7reRdGGDUDdbAR43OpimRHDTb4lLu7hui8xn03bNPsBFGdsfQ9GAGouNQ95p5G20iBPaNCo7MG6DtUQ+A3Fb1INBN1V/GD5r3i+ok2wVcByD7GirbhHvbe+SeBslFfgMmKq74CKS0nFlW2EL9+rROF/QSb5aHMdqQE2PlloDk5NXzMSmy3P4O7Mb5TufrkOylv7H6Mb8vdmENmU6tUfguGvbUdXLoNb2J+nT5qLbmUUMnbJvq/yqWLJYZ9Fj6uMT/v1fJGs/fx/xtGvU05nYu7zTw1PzqfE2rDP/5NtuW2rX+3uH7sDmebbqDiNyc+zAybea6WqqJuWmzUXkHjr+erf3bOl/F5/8G/p7u1ij9HR7oIuzF9FHfmPXG+0MZMe72mSTz31c23290d5DuzzkNxOvnu26VDrrXFZ6hEyLindMpVa/C584F9GlEesiGBW+pFHUT/Tvo/+O/kB3stA7k6OtY7P+tghu1DSVzdRn0NOdS/8S2Uo0bvPQUt77lTEuMn4UjW5NmXvGevbP21WR6+32SG5sHUWxWOITn8IFDZdqWxsdULv5q4urzWvjEyK02+ji2H12GR19FgDRkxVyLtIFFay+jXcexSsauCgPOtpsUfWSdtnQcCwOV5+/XfGBPSW2llN16VZrtJnSa5fRlaKhptlKGd+Tw2vfpCyVj9Z90y4rDe2iAsl4QV/S7lclAzjxIaR9o45djGApUiIQEDF72FlToOpXHd6kh/Xp3st7WcpJEH2Zdl85itwf0c5r1bW46jJK+/BjhzNwUQVaErHX7mJPneqexN/4sKHLJek3wpiSYrhIonRRUeeILt+l9EjXvuhiUl6FlHWxeNQwypOnXk2jc78VuT8uJCvzOR1+VGS5aFT9Mz+4qAQw8e3V4XJY5V8V+yeorcXjPpS0an9JSBghJb3U+0Xz18skvhx34dJ3nUuPaKmDQZ3kAkbV8r86S2oiuKiAM/PdS8aOi8Keil6UiIVH0ke9xUyqcveJljpd6iT3GLiVS9T+gosKfHd2QUWUjBpf/pSM/bahpABesgJxcRqaVFWiT9PUuV91LdRZXvmht19wUQG1u85bReyflfQpuJU33VUPSiplfL8amlQZ3qdp6tyvuhbqLK/80NsvuCiH+m4fa5o4Pr7dJdcNvSgRM1lDk6oK9GmaOl3qJBc4qZZfeaOPX3ARRTk5bOxzzUVne8O+7Sj/6EWJmNkamlRVoE/T1OlSJ7nA6VV+vp1RH8ShQAe4iJyiwz1+ahfFNS9JPelFiZjFGppUVaBP09TpUie5wOlVfryPRPYPV8Ao3UVOnotu4Y16NX16rU+r50Huby9KxEzW0KSqAn2apk6XOskFTh/kn9jKZxOPqXPR4VD4tDncsa0eB9m/vSgRM1pDk6oK9GmaOl3qJBc4fZCfhMq3BlBCdRPnokM1kt+cZ5NUT4Ps316UiBmtoUlVBfo0TZ0udZILnD7JT0MjW0bT5qLTo8f6MSVaUW8RC51elFTPMt+vhiZVhvdpmjpd6iQXOH2Sn0RKGi6KhU6ai9Lm21hSLBXbKmsVsdDpRUn1LPP9amhSZXifpqnTpU5ygdMn+ScTO7AnzUW7F96JLwrbRNUD1ouSShnfr0YmXeq35sL0Pk1Tp0ud5DaUTGwYTZuL+B5V5OJAYN1sY3Lkr7I8lUuDuT97TE6v8uBXGIF9vx92kvL2NmUuOl+FXYwCbQgEm7aU7/efym3ncXazyqHN7+WQ+hWBWL/NzH/y1ZS5aPfVm0jkQ+C6dL3VfWc7y+U9u6w8+mUhOl9r6/mH3Z5KOAXussn5e99d0Rld4Ymm0QxluVJVvrhqEfApRq5vCBQP9s/nX6cM4KJvDkXaTwTS+fp8Cm9XLzge6VZx2/PR97Msmu1PwZy+be1n23M0e5DRbrY9LeZJRvesy7LlKivLFWpSi7FXZP9Uigw/EaBfkzXtABf99CoyfEPgZhX9/Y93rbt1S2eUVFLKRemcNT5Xy0pCOqcclNphzUXZoxwdZbTYCuXdrMqN3+4IgIuMomK8o3UP9bpk6tqbM100U3DKPfRd1zrdLLawJqDNHmsdhWHgVtlvFmsirRbgogoRVb/gInCRqtjSVm6yX8ycuOQiLzhdb9bxmjeWFqvsYuV7HtSsXySs/c9clM1YxtDRtq4GGQYuAhcZFK7STE2cTUa/051l9PUsowNhx/xlK7VX5VvXQ1HxFuavMj+kNz3aoZSXqzL47GUu/6e6g9+OCICLwEUdQ8fYYvEpzRJnm228e5Kl1i5LAtrrs3Yu8YbNFFo59KXs9lhqs3Tv2cG6ZBvnnu0tmiEvV9WepZysR+7qPn6FEQAXgYuEg8bwAte5ZVuLlC61m9FG0c6az7azY5asZvNwQaccJSt6Z86Gx4rj7luzGe2/vrvWbEFf4spyVXJoza2OkyYrEfjNEQAXgYum9yjE18ZSmuRxkdp5N1FyjZ/2g4qvxWX8cb1No/z0kJRZY3ARuEhmPJkr67q/XpZ0GhGOoRAAF4GLhoo9vfTe6Gdpl2xcvzzui+K4Vzeefr+nPmXFBScC4CKjuGi9w9ETAtt1cWw/6vue+rEIbv5AYG3Uo5gbO+l51+a5CxYDAT4EsB6NDydNchnoLk2QgxnaI2BgcKNdpH1UwUAgII4AuEgcswFLGOiuAdGCaqMQMDC40S4yKsJgLBDgQwBcxIeTJrkMdJcmyMEM7REwMLjRLtI+qmAgEBBHAFwkjtmAJQx014BoQbVRCBgY3GgXGRVhMBYI8CEALuLDSZNcBrpLE+RghvYIGBjcaBdpH1UwEAiIIwAuEsdswBIGumtAtKDaKAQMDG60i4yKMBgLBPgQABfx4aRJLgPdpQlyMEN7BAwMbrSLtI8qGAgExBEAF4ljNmAJA901IFpQbRQCBgY32kVGRRiMBQJ8CICL+HDSJJeB7tIEOZihPQIGBjfaRdpHFQwEAuIIgIvEMRuwhIHuGhAtqDYKAQODG+0ioyIMxgIBPgTARXw4aZLLQHdpghzM0B4BA4Mb7SLtowoGAgFxBMBF4pgNWMJAdw2IFlQbhYCBwY12kVERBmOBAB8C4CI+nDTJZaC7NEEOZmiPgIHBjXaR9lEFA4GAOALgInHMBixhoLsGRAuqjULAwOBGu8ioCIOxQIAPAXARH06a5DLQXZogBzO0R8DA4Ea7SPuogoFAQBwBcJE4ZgOWMNBdA6IF1UYhYGBwo11kVITBWCDAhwC4iA8nTXIZ6C5NkIMZ2iNgYHCjXaR9VMFAICCOALhIHLMBSxjorgHRgmqjEDAwuNEuMirCYCwQ4EMAXMSHkya5DHSXJsjBDO0RMDC40S7SPqpgIBAQRwBcJI7ZgCUMdNeAaEG1UQgYGNxoFxkVYTAWCPAhAC7iw0mTXAa6SxPkYIb2CBgY3GgXaR9VMBAIiCMALhLHbMASBrprQLSg2igEDAxutIuMijAYCwT4EAAX8eGkSS4D3aUJcjBDewQMDG60i7SPKhgIBMQRABeJYzZgCQPdNSBaUG0UAgYGN9pFRkUYjAUCfAiAi/hw0iSXge7SBDmYoT0CBgY32kXaRxUMBALiCICLxDEbsISB7hoQLag2CgEDgxvtIqMiDMYCAT4EwEV8OGmSy0B3aYIczNAeAQODG+0i7aMKBgIBcQTAReKYDVjCQHcNiBZUG4WAgcGNdpFREQZjgQAfAuAiPpw0yWWguzRBDmZoj4CBwY12kfZRBQOBgDgC4CJxzAYsYaC7BkQLqo1CwMDgRrvIqAiDsUCADwFwER9OmuQy0F2aIAcztEfAwOBGu0j7qIKBQEAcAXCROGYDljDQXQOiBdVGIWBgcKNdZFSEwVggwIcAuIgPJ01yGeguTZCDGdojYGBwo12kfVTBQCAgjgC4SByzAUsY6K4B0YJqoxAwMLjRLjIqwmAsEOBDAFzEh5MmuQx0lybIwQztETAwuNEu0j6qYCAQEEcAXCSO2YAlDHTXgGhBtVEIGBjcaBcZFWEwFgjwIQAu4sNJk1wGuksT5GCG9ggYGNxoF2kfVTAQCIgjAC4Sx2zAEga6a0C0oNooBAwMbrSLjIowGAsE+BAAF/HhpEkuA92lCXIwQ3sEDAxutIu0jyoYCATEEQAXiWM2YAkD3TUgWlBtFAIGBjfaRUZFGIwFAnwIgIv4cNIkl4Hu0gQ5mKE9AgYGN9pF2kcVDAQC4giAi8QxG7CEge4aEC2oNgoBA4Mb7SKjIgzGAgE+BMBFfDhpkstAd2mCHMzQHgEDgxvtIu2jCgYCAXEEwEXimA1YwkB3DYgWVBuFgIHBjXaRUREGY4EAHwLgIj6cNMlloLs0QQ5maI+AgcGNdpH2UQUDgYA4AuAiccwGLGGguwZEC6qNQsDA4Ea7yKgIg7FAgA8BcBEfTprkMtBdmiAHM7RHwMDgRrtI+6iCgUBAHAFwkThmA5Yw0F0DogXVRiFgYHCjXWRUhMFYIMCHALiIDydNchnoLk2QgxnaI2BgcKNdpH1UwUAgII4AuEgcswFLGOiuAdGCaqMQMDC40S4yKsJgLBDgQwBcxIeTJrkMdJcmyMEM7REwMLjRLtI+qmAgEBBHAFwkjtmAJQx014BoQbVRCBgY3GgXGRVhMBYI8CEALuLDSZNcBrpLE+RghvYIGBjcaBdpH1UwEAiIIwAuEsdswBIGumtAtKDaKAQMDG60i4yKMBgLBPgQABfx4aRJLgPdpQlyMEN7BAwMbrSLtI8qGAgExBEAF4ljNmAJA901IFpQbRQCBgY32kVGRRiMBQJ8CICL+HDSJJeB7tIEOZihPQIGBjfaRdpHFQwEAuIIgIvEMRuwhIHuGhAtqDYKAQODG+0ioyIMxgIBPgTARXw4aZLLQHdpghzM0B4BA4Mb7SLtowoGAgFxBMBF4pgNWMJAdw2IFlQbhYCBwY12kVERBmOBAB8C4CI+nDTJZaC7NEEOZmiPgIHBjXaR9lEFA4GAOALgInHMBixhoLsGRAuqjULAwOBGu8ioCIOxQIAPAXARH06a5DrfNDEEZgAByQjcj5IF9iBuyu0iYuDfjh5CAipGgMAhNa8S0+aizDyHGW3x/Xo32n5zjN+aY2pt6aS5KEXDqA4E9SfZzrVt293hD4B6rI3sfpg0F5HTRX1YQEOBQOLb68PlsLL9BJAoRiA1sVlUdplYP7AZbfvhcP1RcyRLQiDzaYuIHRfXQ8tIEqhtYiIjEZ52u4iQg4HjDW0RqPX9nb2zw5yM1vZaa0uNNy6NzGx5Tp2LyC2KjQ8+EyrgrrMwJ6PQ9lwTDDbWxvPWyFYRmfo7Ggu40/Zo5t8Rk56Wu33McjIK7ehoYzRNle/uh62xs+Ym3y5iQZEcdzjUIhDaZ/qCFtqBHWVnO1SrbMLSTwbOK6p4GVxUIYFflQjk7aIsC+wgy9AuUom0ubLBReb6zijLaX9R0S4KsxX6i4xyXV/Ggov6Qnrienb2hb6iRfT/tW3k7JeJ+6+H6oOLegAZKgih84vWlIqybG07ho7zwI1qEQAXqcUX0isEEs/28nnXjn2u7uEXCDwQABc9sMCZUgSydbkeDVSkFGdjhYOLjHWdgYbfr7aBVsPkfhAAF/WDM7QUCICLEAltCICL2pDB/a8I3E4n/sUzu3rVH7joK6qTTgQXTdr9nSu/nrmutWwvvikCq8yw2FQ5ebjouWxVkrTcrtNxYjgC4CLDHTiQ+WwF3806tGp/sA/L8rji4aJH7ifxLbef8uDCYATARQY7bwjT45Xnr8u1xM1Ji+eFG+wJudLkMCV721kuk+qq4KJD4K7ujIt2nn/cN2gsTyAkZONr9H5Zdnvcez7N9XJ7iDpDZy8IgIt6gXk8SuabyznK19mn+9mjx+hgRZdjSHlmdzn7Prl5i9Mpq65yLtrPdufFnHJRND+cF409jIqElLgsFpfrqmxgL8876/h6ezxIoiYvCICLXgDB5VcE7lbZJoota3Z6ZJ031nWkVtx4K6uu5izUbMpFM9rYyebrumyRENWkU5YNHJojdF9v18VwMjYEwEVj86ji+rhOWGwSnsSRVW8XHlP6yY80Cmin9rnkk8bVPc+xtklssVbVouaiMmHxSjoBy3Gxsqq51KC3QhX+HRkC4KKROVR1dbLDcuaUe6EtFpW2W04w9MpbXOLYOpXE0bgqKGjzzkVlQvDGRWzs7Wql4KIK5LH/govG7mH59ctc2jHEjkVQ/BKSUvphR8I46V5xUfMqo40lQnybZHnWR39RmbAmfkQzeLQ1VAyYBUz4YfZ6m97EMU4EwEXj9KuqWiX0tSx1dmR/J9nBogNn5bFy6EvalRLNnmQBZZuNn2aPK8YuKzchR4v2F62da7KZ1e9oZcKNhE5KDha9n5clTErihK+3K4X4HR0C4KLRuVRpheK5ZVvLjPiWZTX7q7OlNbfoK9vesmc72ql992e0g6i6YlyU+tZ8tqNclK1m83BZNq2osUUC/XWt2ZKOo5Vlg7U3t4Ls9bbS2kH4kAiAi4ZE30TdSZwys9M4eba+vJHFzd2Jnq4SmkS5KD+cR5OKvtmVZe5NkUFI7kW/1NPtZ6W4GhEC4KIROdOAqlAuuh3i22reZKyPdlMuwjEpBMBFk3K37Momy+JoNmi+6qBcFAeOs7yTX0WXjRlLX0UicSQIgItG4shhqpGdi+NnK6cyr3pHo91GokUrEfgdKQLgopE6VtNqPbhIUwNh1mAIgIsGg36SisFFk3Q7V6XBRVwwIZMkBMBFkoAcoRhw0QidqnGVwEUaO2dg08BFAztgYurBRRNzuEB1wUUCYCHrvxEAF/0bwtEKABeN1rVaVgxcpKVbtDAKXKSFGyZjBLhoMq4Wrii4SBgyFPgHAuCif4A38qLgopE7WLPqgYs0c4hG5oCLNHLGBEwBF03AyR2rCC7qCByKdUIAXNQJtkkUAhdNws3aVBJcpI0rtDMEXKSdS0ZtELho1O79V+XARf+CD4UFEQAXCQI2oezgogk5W4Oqgos0cIKmJoCLNHXMSM0CF43UsRKqBS6SACJEcCMALuKGanIZwUWTc/mgFQYXDQq/1srBRVq7Z3TGgYtG51JpFQIXSYMSgjgQABdxgDTRLOCiiTp+oGqDiwYC3gC14CIDnDQiE8FFI3Km5KqAiyQDCnFfEQAXfYVn0ongokm7v/fKg4t6h9wYheAiY1w1CkPBRaNwo5JKgIuUwAqhLQiAi1qAwW0CLkIQ9IkAuKhPtM3SBS4yy1+mWwsuMt2D6uwHF6nDFpLfEQAXvWOCOwUC4CJEQp8IgIv6RNssXeAis/xlurXgItM9qM5+cJE6bCH5HQFw0TsmuFMgAC5CJPSJALioT7TN0gUuMstfplsLLjLdg+rsBxepwxaS3xEAF71jgjsFAuAiREKfCICL+kTbLF3gIrP8Zbq14CLTPajOfnCROmwh+R0BcNE7JrhTIAAuQiT0iQC4qE+0zdIFLjLLX6ZbCy4y3YPq7AcXqcMWkt8RABe9Y4I7BQLgIkRCnwiAi/pE2yxd4CKz/GW6teAi0z2ozn5wkTpsIfkdAXDROya4UyAALkIk9IkAuKhPtM3SBS4yy1+mWwsuMt2D6uwHF6nDFpLfEQAXvWOCOwUC4CJEQp8IgIv6RNssXeAis/xlurXgItM9qM5+cJE6bCH5HQFw0TsmuFMgAC5CJPSJALioT7TN0gUuMstfplsLLjLdg+rsBxepwxaS3xEAF71jgjsFAuAiREKfCICL+kTbLF3gIrP8ZbC1d2Z7zkX5mcE1gelKEAAXKYEVQt8ROFzpPcZF18N7Iu4AAXARYqAnBFKXkhHloqub9qQRaoxCAFxklLuMNnblXCkXXe3Q6FrAeFUIgItUIQu5rwjcbedqX20b3UWvyOCaIQAuQhz0hoBvu7ZjL3vTB0VGIQAuMspdZht7oUxks14jHEDgHQFw0TsmuKMKAde2bV+VcMg1HAE+LjrfDK8mzNcCgT1tFh21sARGaIfA7ZybZP0yrKCsX7mQDgS+I+DY7vcMSJ0sAiXH/OaibLIQoeISEdjYkURpEDUiBDJeLkrRMBqR2weqSrZj/UXuDn/XBnKA1mp35QzYn+0icrpoXREYpz8CiW+vD/vD2vYT/Y2FhT0jcDmVCn9zEclXE/VsH9SNCIHMdy4ZOy6Oj5bRiBwrpSqPNYocXEQOGACRgvpUhexsO8y5KLRtvPFPNQpa6n18LJfm4SJyi+IWSbgNBH4i4K7CnIxCO1pjMO0nXFPKEEeNOUNcXETIaXvEq/6UgkRiXe/2MWNkRKkoO2JJmkRkDReVHLdVV1FeE04uIiQ57nAAgQ4IhPY5o0QUUCrKznbYQQKKjBKB1+YNNxcZzsEwfzAEWLsoywI7oP+iXTSYG/RXDC7S30emW+iuinYR7cBGf5HpzlRoP7hIIbgQnSOwsy+sr4j2GV0wjoaYaEUAXNQKDRIkIZD5NusromRkY36RJEzHKAZcNEavalano22vDpfDyrYxU00z1+hkDrhIJ2+M1ZZTuR7taQh3rJVFvToiAC7qCByKiSFwx8wiMcCmlxtcND2fD1Nj9n00HECgHQFwUTs2SJGJgE2eZ9lWsvd0QdIO/UgVHBP+BRdN2Pkqqr5pW/1qk+Dj59FWa0JWH1NUmAeZ+iIALtLXN0Zatti0mP2Ni1qK4PakEAAXTcrdUit7oy2adElfr04Rua48P6T78+1tZ7lMyHnhLdkK7O1x79Nc7GBctPf8fIuIQ+Cu2Hcbd55/ZO2iHbtblYmpqHXCiuCYFALgokm5W2plE+tOThb90tAiJLvd5ezT05u3OJ2yw2x3iWZ0o5nAXpyKjzwwLrKX551FuWs/250X85TsZvtzYFMuYo2pusx8czlH+MKsVFcZIQxcZISb9DTS2ZPN2srIrKCb1KLsk7+jzffU4PWKctFjvyLKRQ69G9I7c9anRPfiZ9myWclFVZm7hTaRnu5WbRW4SDXCI5a/WRLn4p2vlI7SKHBdi3IS46LY2kQRvUG56NF7RLmIsg65WNmdcRZZL+60XUWzFFz0KOM6IbZYH3HUtFYNXNQKDRJ+IXCaJ7Ms3Gzpu5m3uMSxRedVMy66WeGWHrTV0xg6o1zEiOlqpXHOQZsgzltAy4KLHmWyw3Lm4B3tF/jjSwcXjc+nvdUotTYBubhBRFjXEblXXJSyk/x45qKA3jvMSMbaT8RfF79OwUWPMjQtczHIn+M3qX/ARZNyt+TKetaWMot1pf/sSRYwCtr4aUZWDn0Li+mb1jMX0fTEoSyzchNytG5k6aVkbxVcVJdJaLHUaZulJLkCEKcRAuAijZxhnCkhJRTiz6jde8ue7WaUi+7+zIqztTWfzelA/TMXrb25FWSUanyaTNkm8ax5UL6jkapMPLdsa0lz4ZgYAuCiiTlcVXWz+Ik+sjh50WSz63vZD5SUuavrPG9VJonTl7K4nAIC4KIpeFmHOuZcpIMhsEFTBMBFmjpmPGYly/ywXxtK46khaiIFAXCRFBghpB2B7Jwf9tM7XHt2pEwVAXDRVD3fd73xjtY34qbpAxeZ5jFT7QUXmeq5vuwGF/WF9NT1gIumHgG/6g8u+oUQ0uUgAC6Sg+N4pYCLxutbvWoGLtLLH/pZAy7SzyfjtAhcNE6/yqsVuEgelpD0DQFw0Td0kEYIuAhR0A8C4KJ+cDZXC7jIXN+ZZTm4yCx/9W8tuKh/zKepEVw0Tb/z1xpcxI8Vcv4HAXDRf9CbQllw0RS8rEMdwUU6eEFnG8BFOntnTLaBi8bkTRV1ARepQBUy3xEAF71jgjtNBMBFTTRwrg4BcJE6bMchGVw0Dj/qXwtwkf4+GtZCcNGw+E9HO7hoOr7uVlNwUTfcUEoUAXCRKGJTyw8umprHh6ovuGgo5E3RCy4yxVOm2wkuMt2Dqu0HF6lGGPILBMBFiITvCICLvuODVFkIgItkITlWOeCisXpWt3qBi3TziG72gIt088hY7QEXjdWzsuoFLpKFJOR8RwBc9B0fpIKLEAP9IAAu6gdnc7WAi8z1nVmWg4vM8lf/1oKL+sd8mhrBRdP0O3+twUX8WCHnfxAAF/0HvSmUBRdNwcs61BFcpIMXdLYBXKSzd8ZkG7hoTN5UURdwkQpUIfMdAXDROya400QAXNREA+fqEAAXqcN2HJLBRePwo/61ABfp76NhLQQXDYv/dLSDi6bj6241BRd1ww2lRBEAF4kiNrX84KKpeXyo+oKLhkLeFL3gIlM8Zbqd4CLTPajafnCRaoQhv0AAXIRI+I4AuOg7PkiVhQC4SBaSY5UDLhqrZ3WrF7hIN4/oZg+4SDePjNUecNFYPSurXuAiWUhCzncEwEXf8UEquAgxoByBO9OQc1F+plwfFBiJALjISLeZZfThSu1lXHQ9mGU4rO0TAXBRn2hPVFfqUjKiXHR104kigGpzIAAu4gAJWf6JwMq+Ui662uE/5aD4mBEAF43Zu7rU7W47V/tq2+gu0sUjOtoBLtLRK6OzKbAd+t9ydPVChSQiAC6SCCZEtSFwsenBeo1wAIE2BMBFbcjgvkwEXMpFvkyBkDU6BMBFo3OplhU60GbRUUvLYJQuCICLdPHEyO1wbHfkNUT1/okAuOifAKI4HwKRvePLiFxTRQBcNFXP91nv23bp2d5ye+tTKXQZhgC4yDCHGWjudbHYx8ktifeLBYbSDHRgTyaDi3oCerpqtsGlrvwl2NbnOAECTwiAi57gwIV0BNbrrCEzW68bVzgFAg8EwEUPLHCmAIHtK/es0TJSAPMYRIKLxuBFfetwDfJW0W3jOX6Yd11nAfqM9PXXkJaBi4ZEf/y6F3lfUeS6juP4XsQqfFmMv9qoYQcEwEUdQEMRXgRuOe+EjInYEUSs4AJD+7z4TSofuGhS7u67sts91XirqMhxPEZD+23fZkCfCQiAi0zwkrE25k2gVdEoYv96G1qVorFkbJ1guCIEwEWKgIVYhoDPNpV9NIsoGdHrFAv2GTY4XhAAF70AgkuZCOTrYR/NInrGpGOVrEyMRyMLXDQaV+pYEbSLdPSKpjaBizR1zDjMyvuLlo+GkYv+onE4VkUtwEUqUIXMEoF8HO3a4CKMoyE22hAAF7Uhg/sSECiGzNYVGbkRk4n5RRKQHaEIcNEInapRlYp51+Wovpt/Hw3zrjXyj06mgIt08sb4bCnXo12XruOu8vnWWI82Pi/LqRG4SA6OkNKCANbptwCD268IgIteEcG1XASwf5FcPMcrDVw0Xt9qUjPs66iJI3Q3A1yku4fMt6/Y75pgv2vzXam0BuAipfBCeI4A/Q6I7/j4DgjC4RsC4KJv6CANCACBvhAAF/WFNPQAASDwDQFw0Td0kAYEgEBfCICL+kIaeoAAEPiGwB/Ku4/6QHqrCAAAAABJRU5ErkJggg==", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -651,7 +334,7 @@ "id": "60a0a485", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -662,9 +345,9 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -672,7 +355,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -845,7 +528,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "id": "9491fae9", "metadata": {}, "outputs": [ @@ -898,32 +581,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "76b2860d", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"water_bodies\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-97qrwy/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -972,7 +654,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -986,7 +668,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-3.ipynb b/docs/pattern-3.ipynb index 1ca5b2d..b915cd3 100644 --- a/docs/pattern-3.ipynb +++ b/docs/pattern-3.ipynb @@ -2,10 +2,19 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 17, "id": "49711fee", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -33,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 18, "id": "384acc8b", "metadata": {}, "outputs": [ @@ -41,22 +50,28 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 15:10:27.357\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-3.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.358\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-3.cwl...\u001b[0m\n" + "\u001b[32m2025-12-03 10:34:19.831\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-3.cwl...\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 15:10:27.382\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.383\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.391\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.408\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.409\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-3...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.409\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.410\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:27.410\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-3.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:34:19.832\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-3.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:19.841\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:19.842\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:19.842\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:19.842\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.082\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.083\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.083\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-3.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.083\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-3.cwl - uri: ../cwl-workflow/pattern-3.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.084\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.084\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.084\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.084\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.084\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.084\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-3.cwl successfully load!\u001b[0m\n" ] } ], @@ -83,110 +98,19 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 19, "id": "b72822ec", "metadata": {}, "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-3/aoi\n", - "\n", - "pattern-3/aoi\n", - "\n", - "\n", - "\n", - "pattern-3/step\n", - "\n", - "pattern-3/step\n", - "\n", - "\n", - "\n", - "pattern-3/aoi->pattern-3/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-3/bands\n", - "\n", - "pattern-3/bands\n", - "\n", - "\n", - "\n", - "pattern-3/bands->pattern-3/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-3/epsg\n", - "\n", - "pattern-3/epsg\n", - "\n", - "\n", - "\n", - "pattern-3/epsg->pattern-3/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-3/items\n", - "\n", - "pattern-3/items\n", - "\n", - "\n", - "\n", - "pattern-3/items->pattern-3/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-3/water_bodies\n", - "\n", - "pattern-3/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-3/step->pattern-3/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -203,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 20, "id": "1f48503f", "metadata": {}, "outputs": [ @@ -239,7 +163,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 21, "id": "754d5444", "metadata": {}, "outputs": [ @@ -272,7 +196,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 22, "id": "9d819c9d", "metadata": {}, "outputs": [ @@ -305,7 +229,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 23, "id": "28b9c9ce", "metadata": {}, "outputs": [ @@ -313,64 +237,73 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 15:10:28.525\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - 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Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.761\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.762\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.762\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.762\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.940\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.947\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.948\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:29.949\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:30.899\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:30.900\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:30.900\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:30.900\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:30.900\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:31.070\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:31.081\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:31.082\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:31.082\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.091\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.092\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.093\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.096\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.097\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.098\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.099\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.100\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.100\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.103\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.104\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-3 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.106\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-3/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.108\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-3/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.110\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-3/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.111\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-3/items: Directory[]\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.112\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.113\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.115\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.117\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m175\u001b[0m - \u001b[1m Array detected, 'scatter' required for reference:items\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.118\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/items' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.119\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-3 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.120\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-3/water_bodies: Directory[]\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.122\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.122\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.123\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.125\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m284\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/water_bodies\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.126\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 15:10:32.127\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0247 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:34:20.905\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.986\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.990\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.991\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.991\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:20.992\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.405\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.406\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.406\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.406\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.454\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.457\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.457\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.458\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.458\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.862\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.863\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.864\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.864\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.864\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.864\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.864\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.865\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.865\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.910\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:21.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.472\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.473\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.473\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.473\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.474\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.474\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.474\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.474\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.475\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.475\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.475\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.476\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.476\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.476\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.476\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.477\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-3 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.477\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-3/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.478\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-3/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.478\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-3/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.478\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-3/items: Directory[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.478\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.479\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.479\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.479\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m186\u001b[0m - \u001b[1m Array detected, 'scatter' required for reference:items\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.479\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/items' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.479\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-3 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.479\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-3/water_bodies: Directory[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.480\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.480\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.481\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.481\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/water_bodies\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.481\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:22.482\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0051 seconds\u001b[0m\n" ] } ], @@ -386,218 +319,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 24, "id": "3e868052", "metadata": {}, "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "Water bodies detection based on NDWI and the otsu threshold\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/water_bodies\n", - "\n", - "main/water_bodies\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/bands\n", - "\n", - "main/bands\n", - "\n", - "\n", - "\n", - "main/bands->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/items\n", - "\n", - "main/items\n", - "\n", - "\n", - "\n", - "main/items->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -611,20 +345,20 @@ "id": "a4675232", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 25, "id": "85658bab", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -632,7 +366,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -645,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 26, "id": "1505f319", "metadata": {}, "outputs": [ @@ -688,7 +422,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 27, "id": "5d2a4e59", "metadata": {}, "outputs": [ @@ -723,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 28, "id": "abcdff15", "metadata": {}, "outputs": [ @@ -756,7 +490,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 29, "id": "49396b89", "metadata": {}, "outputs": [], @@ -769,7 +503,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 30, "id": "653ffcc3", "metadata": {}, "outputs": [], @@ -805,7 +539,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 31, "id": "a15fae27", "metadata": {}, "outputs": [ @@ -860,38 +594,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "id": "4017d479", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"water_bodies\": [\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-rv4f0i/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-07qxjy/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - " ]\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[32]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -940,7 +667,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -954,7 +681,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-4.ipynb b/docs/pattern-4.ipynb index 1777a76..a4bf1fd 100644 --- a/docs/pattern-4.ipynb +++ b/docs/pattern-4.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -33,27 +33,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "384acc8b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:46:42.802\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-4.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.804\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-4.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.826\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.827\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.834\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.846\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.847\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-4...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.848\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.848\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:42.849\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-4.cwl successfully load!\u001b[0m\n" - ] - } - ], + "outputs": [], "source": [ "wf = WorkflowViewer.from_file(app_cwl_file, entrypoint)" ] @@ -77,112 +60,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-4/aoi\n", - "\n", - "pattern-4/aoi\n", - "\n", - "\n", - "\n", - "pattern-4/step\n", - "\n", - "pattern-4/step\n", - "\n", - "\n", - "\n", - "pattern-4/aoi->pattern-4/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-4/epsg\n", - "\n", - "pattern-4/epsg\n", - "\n", - "\n", - "\n", - "pattern-4/epsg->pattern-4/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-4/item\n", - "\n", - "pattern-4/item\n", - "\n", - "\n", - "\n", - "pattern-4/item->pattern-4/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-4/ndvi\n", - "\n", - "pattern-4/ndvi\n", - "\n", - "\n", - "\n", - "pattern-4/step->pattern-4/ndvi\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-4/ndwi\n", - "\n", - "pattern-4/ndwi\n", - "\n", - "\n", - "\n", - "pattern-4/step->pattern-4/ndwi\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "wf.plot()" ] @@ -197,27 +78,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "1f48503f", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `aoi` | `string` | area of interest | area of interest as a bounding box |\n", - "| `epsg` | `string` | EPSG code | EPSG code |\n", - "| `item` | `Directory` | Landsat-8/9 acquisition reference | Landsat-8/9 acquisition reference |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_inputs()" ] @@ -232,25 +96,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "754d5444", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Runs | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `step` | `#clt` | None | None |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_steps()" ] @@ -265,26 +114,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "9d819c9d", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `ndvi` | `Directory` | NDVI vegetation index | NDVI vegetation index |\n", - "| `ndwi` | `Directory` | NDWI vegetation index | NDWI vegetation index |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_outputs()" ] @@ -299,77 +132,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "28b9c9ce", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:46:43.807\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:46:44.021\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.028\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.029\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.030\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.929\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.930\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.931\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.931\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:44.932\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.109\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.116\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.116\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.117\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.920\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.920\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.921\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.921\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:45.922\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.118\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.129\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.130\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.131\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.917\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.919\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.919\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.920\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.921\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.921\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.922\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.922\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.922\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-4 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.923\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-4/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.923\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-4/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.924\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-4/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.924\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.925\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.925\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.925\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.926\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-4 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.926\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-4/ndvi: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.927\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.927\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.928\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.929\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/ndvi' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.930\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-4/ndwi: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.931\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_1'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.932\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.932\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.933\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/ndwi' to 'stage_out_1' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:46:46.933\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0115 seconds\u001b[0m\n" - ] - } - ], + "outputs": [], "source": [ "w = WorkflowWrapper(workflow=wf.workflow, entrypoint=entrypoint)\n", "wrapped = w.wrap()\n", @@ -382,268 +148,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "NDVI and NDWI vegetation indexes\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_1\n", - "\n", - "main/stage_out_1\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/ndvi\n", - "\n", - "main/ndvi\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/ndvi\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/ndwi\n", - "\n", - "main/ndwi\n", - "\n", - "\n", - "\n", - "main/stage_out_1->main/ndwi\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item\n", - "\n", - "main/item\n", - "\n", - "\n", - "\n", - "main/item->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_1\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", @@ -655,28 +163,17 @@ "id": "8106e9d4", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "12b7d698", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -689,34 +186,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "1505f319", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `aoi` | `string` | area of interest - pattern-4/aoi | area of interest as a bounding box - This parameter is derived from pattern-4/aoi |\n", - "| `epsg` | `string` | EPSG code - pattern-4/epsg | EPSG code - This parameter is derived from pattern-4/epsg |\n", - "| `another_input` | `string` | Another Input - my-asthonishing-stage-in-directory/another_input | An additional input for demonstration purposes - This parameter is derived from my-asthonishing-stage-in-directory/another_input |\n", - "| `item` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Landsat-8/9 acquisition reference - pattern-4/item | Landsat-8/9 acquisition reference - This parameter is derived from pattern-4/item |\n", - "| `s3_bucket` | `string` | my-super-stage-out/s3_bucket | This parameter is derived from: my-super-stage-out/s3_bucket |\n", - "| `sub_path` | `string` | my-super-stage-out/sub_path | This parameter is derived from: my-super-stage-out/sub_path |\n", - "| `aws_access_key_id` | `string` | my-super-stage-out/aws_access_key_id | This parameter is derived from: my-super-stage-out/aws_access_key_id |\n", - "| `aws_secret_access_key` | `string` | my-super-stage-out/aws_secret_access_key | This parameter is derived from: my-super-stage-out/aws_secret_access_key |\n", - "| `region_name` | `string` | my-super-stage-out/region_name | This parameter is derived from: my-super-stage-out/region_name |\n", - "| `endpoint_url` | `string` | my-super-stage-out/endpoint_url | This parameter is derived from: my-super-stage-out/endpoint_url |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_inputs()" ] @@ -731,28 +204,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "5d2a4e59", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Runs | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", - "| `app` | `#pattern-4` | None | None |\n", - "| `stage_out_0` | `#my-super-stage-out` | None | None |\n", - "| `stage_out_1` | `#my-super-stage-out` | None | None |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_steps()" ] @@ -767,26 +222,10 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "abcdff15", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "| Id | Type | Label | Doc |\n", - "| --- | --- | --- | --- |\n", - "| `ndvi` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDVI vegetation index | NDVI vegetation index |\n", - "| `ndwi` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDWI vegetation index | NDWI vegetation index |\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "wf.display_outputs()" ] @@ -801,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "4e8372f1", "metadata": {}, "outputs": [], @@ -817,26 +256,7 @@ "execution_count": null, "id": "58f84721", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Inputs\n", - "\n", - "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"item\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "params = {\n", " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", @@ -876,35 +296,7 @@ "execution_count": null, "id": "b2fdc13a", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"ndvi\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-k22ltj/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " \"ndwi\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-kqxpfe/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "parsed_args = argparse.Namespace(\n", " podman=False,\n", @@ -951,7 +343,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -965,7 +357,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-5.ipynb b/docs/pattern-5.ipynb index 3a10438..5609df3 100644 --- a/docs/pattern-5.ipynb +++ b/docs/pattern-5.ipynb @@ -41,16 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:48:45.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | 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from ../cwl-workflow/pattern-5.cwl successfully load!\u001b[0m\n" ] } ], @@ -83,104 +89,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-5/aoi\n", - "\n", - "pattern-5/aoi\n", - "\n", - "\n", - "\n", - "pattern-5/step\n", - "\n", - "pattern-5/step\n", - "\n", - "\n", - "\n", - "pattern-5/aoi->pattern-5/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-5/epsg\n", - "\n", - "pattern-5/epsg\n", - "\n", - "\n", - "\n", - "pattern-5/epsg->pattern-5/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-5/item\n", - "\n", - "pattern-5/item\n", - "\n", - "\n", - "\n", - "pattern-5/item->pattern-5/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-5/indexes\n", - "\n", - "pattern-5/indexes\n", - "\n", - "\n", - "\n", - "pattern-5/indexes->pattern-5/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-5/vegetation_indexes\n", - "\n", - "pattern-5/vegetation_indexes\n", - "\n", - "\n", - "\n", - "pattern-5/step->pattern-5/vegetation_indexes\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -307,63 +222,72 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:48:46.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:48:46.252\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:46.261\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:46.262\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:46.263\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.071\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.071\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.071\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.072\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.072\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.128\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.135\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.136\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.136\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.934\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.935\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.935\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.935\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:47.936\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:48.000\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:48.011\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:48.011\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:48.012\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.090\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.091\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.091\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.095\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-5 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.095\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-5/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.096\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-5/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.096\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-5/indexes: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.097\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-5/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.097\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.097\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.098\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.098\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.099\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-5 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.099\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-5/vegetation_indexes: Directory[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.099\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.099\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.100\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.101\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m284\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/vegetation_indexes\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.101\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/vegetation_indexes' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:48:49.102\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0076 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:34:58.343\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.404\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.407\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.408\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.408\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.917\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.917\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.917\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.917\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.918\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.965\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.968\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.968\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.968\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:58.968\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.362\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.363\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.364\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.556\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.556\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.557\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:34:59.557\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.001\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.001\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.002\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.002\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.002\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.002\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.002\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.003\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.003\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.003\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.003\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.003\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.003\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.004\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.004\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.004\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-5 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.005\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-5/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.005\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-5/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.005\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-5/indexes: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.006\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-5/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.006\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.006\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.006\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.006\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.007\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-5 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.007\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-5/vegetation_indexes: Directory[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.007\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.007\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory[] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.008\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory[] converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.008\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/vegetation_indexes\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.008\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/vegetation_indexes' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:00.009\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0048 seconds\u001b[0m\n" ] } ], @@ -385,212 +309,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "NDVI and NDWI vegetation indexes\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - 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"main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - 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Mvbb/v4lAvvpL/hDWWDzyKwYA8GTNPc8BzV/vesWzj5/u+cOzDLcH285pXjXQhsn90+u15V2HZZkmETzf32reYEAeUG5UqO/8yfE4+oVdr0j7fNtPJ7CZx+8yxoVLy4P/v0RQJYC5WO1r/CW8VqjktYD86R7xsx1w1nijiF3wJ24N8M4IVB7oXjVQAWoffif23qZJBJ2PH9WoRZKZrDzG+KQv7IZd0s51J64R0OHHU+YCcJ0iSYUe/P+TCOSv1YhfvpMjgJ35pzC7oiVfUCN+vutfygFiDbxYI7D1eGigKxBlmf5VA12V6j9f0HU8L9MlguxnZlsIdBgXv6Cs5TYfuMkbCZYZDDMDdPRvN8EvRR4/i9HaPLsKGUVB/weJIP/9uln++3XHs8sjf/nKOzEf4PG1g54OLpyQPBkvudYIvKkyvGrgDSsKmq8t70LIMm0iyNadjx/Vee7wA8r1WrXP98N8HKHf/W3H8x9bWlOyouaC/3AiyH+wTjzwJ3/RljAHoE5Dvi1X3iEvsW3U++AO6Q06TjoNrxro5Gu9trwTIwr1ieBpfn4hJ2z8grLOhLFcztNFyAXn1WgFf9M/jvMxPLlg9M528L+YCMSvW+7yX7vNrwFsEdAdZ155pzPDWp5fDcwDTAu+VBpfNfCC1T61X1teO9T4qE8E2c0+1Zhl4gFl37mbu+h34a8Rnj/z8dY+Z1IG57afzI6+jjUC3bnzn0oE4oHf/Ecq5/bfu+4MRlV4/81f1PkvXQyI115sxDsygl0NFLG5GV81UMWv/mE7B1uxIRGI+UBgPO226riuVXyOkwvuond3vtS1pabYvaxHS+OizM5atML/RiKQYwD5M7XeGUAE73pcTcQ8O5yxafEOg5YvwpqsyS8XpYqxvGqgk+79teWdMFFoSgSGx4/qdNQHlOt1X5/j5IK/zaj2q9Av652fnr+L8QZdi9DJYCv81xNB+cP1HBlAvWZy8/sPzQpWr8YMrvn5MwUu1dvtreO15W2I2jcmgmx+UDjjlv6AciednDuEFwF1MgCFz59Z97veO+veD9NpwEuEfzYR5D9rz/jqr/LyumfvjelsElXh8ywef4/zsmz7qwYqVfUPq2V9z/zZnAjuhsePGrw/4y14LdKo9rZzP8zwRUBvtcECsSQLnzkUvx85WocaFvyDieB2Pmzm4jJAvPcHXaBhOS1iSkBeXoeKscW622GRuGbi8frwd7+lPOBVA11ePDtfW96FlGXmRJBdJuCg52n9WSSdgna5WAQ0O4BW23XRfTFzSBgWPMRbYd9+RBI1ZcT9U4ngdpIP/IuXgP/gK4KN3ouDIgmIN9QHv7y2ySAdzxNXvGkM5FUDXfo1ry3vgsoySyKwPH5UZ70tplwJUt74Dzggz1WLYYHuByDqXpWfxcxhiNmCfyQRFClAvAKY9YdAZIcar4K/2bLjbLoX3cRPa0wi/pAW9qqBLn90ry3vwsoyWyLIljtd1bdy1weU34hEwVnM2Qd+Zlk8uzXHbws8DmK2BriL0uWMtqz3iUD+JOBsJFLAiXce//EPJgFxQ2M83cRc3fS3HiOvGuhqXvrXFXehRZk1EdgeP2rwgj+L1Kij23meVsGXGlGe3Miyy8r4qmidI4byHicC8UsA8gWgyy3rKEDG4nEScwLxhtaG8OOHyiQQ+Iq1qed3PnW+IDW8rrhppNqzJgL740cVl/jg84Bynaf4LBcBBV7iR3iWU2iSs7eck1r9TAQP8fa/qXip5vHCMgHcOK/yRbPob9M0Kn5u5xNJIJOvGoCXwr7F5j7FbvfVKtoTAfD4UY0vu85nnF3lJqYOw04XiJAv8ckNscaTcD1RD0zX594lgpt4CbB4zC/MKz9Ir57vClf8so8kAbGsajPaeFyL3QyvLdfFEEgEwONHDXbSzyI1anbvhF/iJxZr4JMFmbyeYJos6FMiuOa/vBvqlR/yx2imwX//qrsBOZZ+KAmIJ/xFA/MZi92MryvWRANJBMjjR3V6+bNITD2loA2/xO80nxLeuQS+L7Iek+7PPUkE6te3md6t3fb1mf+WBPjzdO3Kn9m//eQTg1HnBApPaa8a6IqO5XXFXVVEGZIIsMeP6gZ4Vh03GMUSP680WSfr+vy3HBO+58VtnZXH2E0J+HwieJx9fn1b+WHY3sTjpQv0p6gMPPEOlb+U+YEkkGU30k3tzpjYXlfcWQlMBNjjRw0Lf7MFQ0dpUm5GS/f5kwZV5851Pd7hI7Lncbz0ngz5bCKQ788YBX3tj/g93Mk/dT0g72iIBU5MayY7m5mh8LwY7/EW2E1kfV1xdzVsRJBlW8Kq5dKSw88iaTRWxc9fcRch4Em6b0jXNMfJAp9lrJyof/hYIsjXyc+C3hS//8gfn+L+NqhHj/mziMnsg3c05DT0r7dL9tcVa0xAlwaiLvj4Ud0KywPKdUL5+bYbL/zD1Wat9omp4Hc69xqjfCQRiBV9Yp38PtCEQBFK+UNSa/TnKKvof/DDRfxM5+KDzzs4vGqgK1on62vLu2rJMjQR3G0/kNBlwPFnkbqoamWnJeENI7V62EdiKjjNKDcc2hLMieBwbOPl/h6c1ezEFWv7a4/7d6K6zOJlz9/1uB8/LZlr3lm/N/Ifyd5xJ0ab3Sry4jQbXjVgoynPSwGzvq7477fxs3A18lYiqB1pnflL9SPJlQctRNcutupYbzXnfDMo3zBiW+77Vinr7lfvqomp4Dyfwvce26LMiaD76bHlpiZ5rf29+2y+ruHkR7GsVz7g07y0arC1KrjsylfPLRlvEBgcBOXN6vF6qyNmBsfTbYjHn812s6yK/HJmetWAjSYrIpTDrK8rXn2Nx4PFKwg18lYiqB3J4bXzsFcE0oNa+Yu285PlZ5FyorbVFlEVslq5WO5bvnhMI+W9Une/qnFWH2/rceeXcQVofrjMZuBcQVuUSyJo2H7r7a+jjUP59W/wB3xue/HSOd5O1fDi5Rzhk75xPc/b6XjNmLUaqvR2G7D7bmgcbFtpighJmP11xfJOyN/g1bZr5JZEUD8P9ceP6uUNv953zKuOc6Kanvf6upLHfrKQX8WwFDwRiKmIJWlRxmm6cLqDUCUC8RN2OcPu5yjehCK82k+mP1Lw7ucwyQuy42yc/+jkXhxWsMNwtFio+1wbGQ057BF1pqtaXOSKvsViJwuVnZxfYiWbolasoiT/q/YvS7EYSE5nS2Yx/hEDMjk1UpHl6PynKlRCVDX+hAuPhbiY+d1mV8FS+y0MtVuxnObj2aEUr7gbDipSaVlC1UaBlQXFnMvKZON6rMT1QWnolI+UjuuDuK0pJwVK1rpSRVQQKETusbfdXUlaRH49Gi4WIkavv1J8dTJnG9UACkzVIErdZYTEgvDxUD88rIdkWEkQsSnJN6dh0XZUTFtRa5yHR/nrR6LtqPIyts328XKq/HRdTOdFS6qalmp7BZHwomj+6mSp5lAQ1Jt+FQcZqdN0tNvX+0LNdL3Sq1+VBh7yPuQzfyVh6UI9UjnLZd74mlfNtbKvKsgeK3rU72T5PkFetdx6J65pzFQiOH7tz9svQTAbLk+7wTnbfx1Os6FoIbPh4rQfiJ50+Nqf5t+iN8rEp2B/k/lv9YzmWLYD2apmw/nvSSUCdQcvL6zsbL+Pp7nkl2yKWrEqhdX+fn8+TaeiWJZsBqvVaf31yCoyceAif8iuFgBV4z64Zb8DUXW+yb7X51PtYbpyt2I5Drbnn00pXpU2HFSkWQktNy8hJWXTkGjSt5HwUlHeB3/ihsZwrK4HSta60pZUNrsiUN/VQwAi8j/j79VvfppVyAWgiFLtZJYNoIRUDaJUVUZIvChishUNR/P3CsnjINtZ+VeRjfciEci2o2LailrjPGR/4/z6UnhQlqvYNtqHMlLfih8oFl391YCrtlcQVS1OEZbNoaSoN/2adHF0sdyORtNXX6jZrFd69StlYDd8ZMuJgKuCV6QqjlPtZ58VTAgrz0tZoepR2XG8bl5+i/RTdiDV01TnrEyoRJA3D/liqZnUNFvn7eX5JTv1SBRsxqKByG4+3JaJoIQ1CF9tR8BzXPHL0MV5n8nCys6XGAg8v8tEoKiVcVlb/jX2HwOZp6TdoUwJ3z8VWWHlLms0/vIao0O2Xg2e2dfpNmhA1G4l6bv4osp1VtwNByV7TlpCy00FLikVcylmtrnkDpaGnufxaLzefD3rWiXrS2nWYmCxK06ICPfvy+5cjPCkpvw0V2KU6dfJVA1AuVPfl7plQ5ftZPaQDaf7T7Fm18HgSwyO1F/VuqpEoGLailrrPBxnkkFaLqyrk9hoH8pIc3sYb4XoqmmptlcQvYplvsw7RN6WS4q8T5dNvyZdHBU57DkZdy45rFfKm0oecKU4m80OX7LflgVVpEqTxeY43pSN91WvPA+qQtWjxBndj/Pxc4Mib7lNb2vHy0RwHay3263sAvmpXC9u4otU7IiWI//PzoPnTfbDbDUvQl/C1HkoGF9tJ28P8/lKTNs9imMFc2XnmvPLlinCVFFXrGWdav8htI0Hp1LeVIy1s/G+JBs1rChrVY31IhudJ6eLyAXj0ab+jVXs1iSVCUuKr0rLhlbQKtJrHgsBKmq8wKWFpqHZJG/6OWo9EePHteiMeVibrDWlLan+dvNze6rb/VsNp7fXaVZxE4EtovQ6mWUDUAjVIDKlquiK47HIbMIFzV8Vkvu1Pm6oyFQiUDEVPfUVNam+sFKxr2UbkGV5eXUG8hZTto8KW/8gRQ+/t6qdv9peQaRaXEXYzG3SmILUpAsDcjAzX4u3Cr4/q1WvVAX8ZeAxHMjMWBVUkarLzsRSiPy6q4JVHbM8Ya8eJes9BLz+TVOeq6qnFd7WLJSJ4G+w2Yk/kQXlpVm2nl/zb898mC/7xWXwKAytRSbOHStg5XkoCV9tRxw9r4fj6qJBAiRzZeclW7BV1KXxkq4Sk2WT+fl6lfHKEdOtQIz3kky8umzasKLqVjV+v+9fz816J0YRz+Pia/QaNBW7laS/PDeVJqrSRsQUaQlVNV7g0kLT0Gz6Jb9e/gbL2Wg0Wz8z8d1/G7ymdBRrTWlLqkI42lXntmZXvmogj/xdKJOn+fVXin+dzLIBKETeEUSDqE6KbA+Z6AHyX/E90f1XD8n8harIVCJQMc2qqJXqcysv7qd8NEeW5eXVGai3jxe49ikP5dd0nicLIbdqewWRaoEVYdHiFIE0piA16eJwkQhEDxRPb4svrPpfvVLVr14GRCKQX09VQT1SdRrx1ITAVbAiIcnzUFR49aiiUvNX4MoW1PK2Rl8mgkeelGR56eZTfv1mI9FCZnIQdvzKihIx3ZdHTEWjCJ+sKP7yDjqRddY78aq3/BQVR+S/skpl55kbLOcIKuqKtayl9uXls8jdrUTwGCy1L5R71XgMRPI6j2fbnPM5lu21+hO7lST1ITeqdhqZriItjyqQ2ua0pYWaITHI/dqLJx6+p4cyC+0nGzm+LP5qrHWl2YuhhpDfHVUUEbsvtKhY2hXPqchXDYjz8zrNhZbyX2n6dTLLBqAQqkFUquR5Xi3VuVKw923l0Dwf1+cARSbMiTkC0XYqn/Ko1dS3WlP++JEsy8trtQRt+UXxrkC8z6NsSb/D6T3PW1XbK4iUFxWhIRGouFSRKiWK2bzG+1xkseKtAl4zMNuKaYKX40J2FammC5fp6lGvJ46Kjin/RIVXj8pLxD/iIQvhY/6n3G55Wx6VmzIRZMuRGOVeRetQihdi1cZhIDu16H93me6X43v2I7/I6o5l6+njqfg2IzGBJ+qcRqOdaPJlXNTRnLmysxpd7ms5ByFRiloZb1QRafs5OGRPKaSQV5zo1WI4FNlKin7/e9XIJoOdIBhcsrtAPkb5AEtWULuVpPzDpTzzVWnNwRdpCS03VfRKSsVcyppt/tbfo82pohQnXV7QlX8v1kpppa2AvBBEu9mfGARX6mRjE3bFk6ubPCHJyFenWampTKuT+WoAJUQ1iErVenoXt5fa564izD+okIhU+DyKs6n+FFm2GQ3ztlOoveRnuqG+dh6KyqfpU3pQlKvY5ioMiaASPZuNxeSRGJqotlcQVV4owrI5lHqlQQWpSS+a/asviLc+71QfbPWXKuDKgJwsnMohUlmgIqUi1NjuxuIH01VPLTumqlD1qFeNg1qEULldeSs9qf+pRPBcDb6/vkXrVG7eJ4PvWX5psJp8D+QPUz+mAiK7UT0a2W36VV4pC8R48LWYT8eLSf6127KVM1d2nsuv781C4CRKUSvjSmG1fxgMv/bymjEvESda3Pyenh5KtMLXtlWNbCOT11Rkzuv3YDhYVGlL7b4kLQbfg3l55qvSuoMV6bOAlptMgUtKxZzLeZ7EDzHvf783FUoUL19TduKeiXKuUtqWWiEIdotYXdt2f8Xbs8sQyMhXp7kKnRKfn8xGAyghM9UglKrb9PtbzL7Jc669NFCs08FgoKYDJV9F9hgPv/L7mCqmkq+uvn4eCiXblfSgKFdnQLUPeelYoFr/KtGzjRhqL0QHVG2vIKq8UIRlcyhZpEEFqUkXzV5Gqibxvh1XbyauV3oFvDRwkdcFdzmHVxaoSLV0l7vX6Wqpemp5HlSFqkfVat7ny0e+q9yuvJWi6n8qEQgd11cOyxG3Yhwr/C4/ZXfrj4rfLuLNNuX4t26m9rluR8yTl3826mfDdPVOzTqZoiq3zRpF4f1ahKUyWuxWLI96DKrSGvGLtISqGgpcWlCG7uJX7hevBUMK1ZyBEqGvslNlSzEUBS8EZreiUdWLc/sYj9oXsNXJfVVRpm9Vg1ANIMe8GkSpCntdccmqAvYyp8iHylwbUkXtVaf41Hj8SItq1XqFMit/FknT9myErzhkr0i9jInXOnS/d0z5+97jSosq/i+u2qfnZnotWunLfq3Cq0eVdfYT8TUo/iq3Nd6+EkFZ8W0j7MF/1xX8FOvf8fq3/H7vAIAtsaS6cQ0GVPkI5HaYj9anDhdvx3JeMq6s23r03ZrHchHQbhCP+daF5q2OmCMg/t2dH3BShnweUG7HQXG+tj+cLxWsaH/LdaBt+5oedR7n80pVdc0HeyJY7DRVq+L7ovgTi67xDnoVM+gLzdhBEaqviMqS/OD3kJUgMLI3TKkdeg0xqt1Ph5OZDMy7F5PRa4ZA2ejautjV+ideNTDK7bqxvsLWahDk15ZLT7s00BNBdq4eP+oKH1KG/SxSl9ysFYdOa96NtYv1b5yn87Z9XY+6TcT9FeufPRFYKbLnSf6Jn5bHmjdKeOr6Mj15PnYtjBdyO9k10sg1/raT6e6Sh4Vip22ebDcn6KpVf9VA1/G25Y79t2pFFqe/tlxyt8hyqjwRaL4aOvTkRerxo2I9hw5lLEceUG7JNfK1DorhK/SN3Kpm3L2WTx+AXt/LN8ka4RyJQIoWz3NU1/tGJ7wO4g9XeZnxq3zZTmZ7YoP2s2irLV41EODHM/NLRofXlneoPYq7BPn7CC7U75Lya5Fw+fpuHntA+b0eWHJZsKeCW3F1gHp9Lx7NMML9EkExDyES/H68e4JxIcOUkexvgT9uTbbCVEE+8qBWCzBR+tKcl/V7Wb5sVf2HXOHq8tryiuH14SEbthgRXMaNydwXQPvpIRfZiAUvWgB0oP6A8utuOFQVAV1q7wl4v1BEGNqYv7H8eoe9vtrhXolAvU/nNFnz+Nf2V+4rI2KlFHKt00URq+wifjEz9K/nEn15ihflhwmbfEgIu/wEJC9HF5EILsPWPS2g5p9Y3ZL9DatvC6BKB6T+gHKIke25ek/AlTrm6VArin6nT4rXJzGZYg6STyK4Fxnptmg8Jdkt3Lm0NJJxv6DeWZCuopgXCP4b2jrbunL5u1hy1B3iTywAumIT0oD163B0GV5GQ4crKvn40X7o3XuvVSs+sl/TywCI9wQU1+i1Ne5AYLSQ9Yrk9WYpHtg2BcknESzHUma1ekmr2evAIl+Le66/R8CLj6lyawh73U2mfZkXqKTx/1JmLXg/o2E5e10rdP84HY2H4s0ILgSrjViUt3Kp2axzmhTvqsivU5qHWPZ+xvm4eTL3ZbvIjCKetVjIFfr2vxyezX6WRrhHIjgNRS6+zpbhrgqEkyfZOO4rtt+7t8cNQlzqw+3bfjrpSxYQ19mltJ9Z0NUW0+Fw3Lm4G4rfG+g0HI/EqOCtHCh4Tn8nw/w7CQAbIeUvKK/lc5QB/ooHCFdD34uD5178Ovj+OB5jXmNw90TwHIsruj3b4LA78MLIQbw9o3u1aHeVGKW1Sa2HuG269bxC5ZT8k8+3iceKgv4Ch5jWGw6duq3OV8GXv2ZCd7yz/LYRtfI/OVPg/1c8sfcnv+GC/MkHCPdj/4uD+1IEayJSMeb1fTUcTkSATXD3RLCZDQ/zsMMB8UKU0fC0mDtcOQY5j4r0MlwWH8Uv4Y3WrP1BmXDdHuV8W7UC25XFXm8xKnvgsvMhcDtBG7EfDkf1YVb7uGZfZDyZQoak9/ppuGTx33z+l01q71IzYF0OXaazydD74kCMxMWIbDicodMZBdx0G9M5EfzJ+M/2p2IGxCUmQJ0/2dxCGwF0NCFiUisfAoT/bdymXWDvR3xPt5+CBaqRIbciD8yZsoC0L76wyDLyCj8TIWa8dav8Xkv8gvJu6HsX4p22KtmKjOd7cSDJxCTNkLC4+yTg5aP4lZT6B+dEMJuJPpo3hzXjpWJdmvgs095InudhQCMtm9ZdkQfEBOZtN5kfq3k5a6U4gF8xAnx7L0YI02KkNrS+z59meG1486mF6SzaIt9o/iEG0sNRmGkC+Rt/kp1ljLsZjihjC5HeDHByIrhdcicO0h8hZJd/N1pOFPmwMpInmvF824PRdylJTMaJSa3Dz3wi37jQj79K2kmcknnQIVpW2HqMpupZZrYQ/I08mtJ1Lm5lV3Hw0PT8mRdfb0Wf4aCs1PxVMxplj/RlfwivCRyPhQFOSwRiBaFoa2IV4X0UrnuKyVVpZC+NLOovJq4iGv1DJSnPAyIBrsKNgojO1aSdRdiG/r+LqxdQnX721Xc1L/TmjUfEkomi1RhRloP55ONkNpsKrr1cLyspOdfMihHBdDieyqfO/F0W9xC3JKdNcFIiuE+Hy+P5uBxOA37tRDFiaRCtwy9JdzEekI2jWNjagn1ity5NKhNJahLqiqVmi9lVf2Z/htKl+/X8s98sZ+PRuWrt2Nw8HJPrUfz054WBnei0EU5JBM/p+PyUf+exWOAY6C+KEZr2miQxXzEejyfinvesF1cGTWlFJhD/BnjESC5hCXX6/Zn9Gd6aRADKmo3HxD+YRIVmOCUR7IdFHhCZINz9lV3NSE+WDzQkqW+Mydu7YGqnOdrHhrTAVsOdfn8v/BneghfOXWmKQzCRwwynJILxKh8PyH+K1cVvwWMoGC8jGKHp1Ei69+CegUYazT8QHe70+3vhz/AWhHDuSlMcgokcZjghEdyGP1Uf/XF5POQt1h0FUYx02DUU9VCSUhtTWjhb/sz+DCqi1TYAZcUtbnAw9CUihwUOJ4L7cT08VYngNFzLH0Th/4tihCa7h5KUAzGlhbPlz+zPoCJabQNQVty7HQc7kaMFP7ZmQMFE8Ls93q6NLHatkgLrhyhGaIp7KEk5EFNaOFv+zP4MKqLVNgBlxf18crATOVrw23HbWJ8MJYK/zZ9w4tG4yHjU3GL8GMUITW8PJSkHYkoLZ8uf2Z9BRbTaBqCsuHn6ElHhO1x069fVCpIIjsfChfq0467mFevHKEZoinsoSTkQU1o4W/7M/gwqotU2AGXF/XxysBM5OuDH10MPQCI4qpuG99qN5HvNKdaPUYzQFPdQknIgprRwtvyZ/RlURKttAMqK+/nkYCdydMHP1UuL7Ing9zVFKB5mVCsLaz4xf4xihKa5h5KUAzGlhbPlz+zPoCJabQNQVtxiloChLxE5uuAnNVFgTQSP+kVAuaB7dKt5xP6xMDLcBht00BX3UJJyIqa08vTv2M/MdVIsmvdgDqAtAKU6a2LLwX4XzzTLpyHAE9JlcleuhrEmgn3LyPV8fa4ONYdCfBRGgtsg6u6hJOVBCGm7cl5I2VDb63moPjJu56JByYbl9Xcb+zK8mw/jbmnnb+IteL+mhe36ZvJeLt+1J4L36DxPs45C5qLzlJnQn66HkpRT7NIWa0Xd3gZIBMc5xz2oS5BWGcBdFdHf1yJaVUTcPiYXWo3T4g0PJoJTl6XHRN5ODPxH9TGwHEnfQ0nK63jS+HvGbczSnPz7lQpmfcvvbsW+31YfHT+Qv5GP7/n9Uvwurm1EsO+UuPV2oZO2UbjfNHb7sNNDSSos7tK2x/1k+vvcTWZiVvi8nIgfqxGkOzFY3x4PE/ECktYff89Y1qehWtYIu4cNAQxD+d2tTK+P1UfHD0sqw7ajPxdDArdE8DfmGMuZvb9FsGFW8Ha0h5KURndpYvb6dz1YLn9XX7fnbnf6mcqLsvnq+ZwOFz/bweumUWGLvWf8TnkaU1cjV+Fx37K7+5IyV/flX0W0T/STvno9LlSZ8kkET/ntEfpv0SE6tE0Lfw8lKcXO0qYTQTEUnf/xXXy/3AZipJ4nAnlkJjJC44+7Z9wnvv2hlLcO0l643a3FctSah68dwj7uNhjuhZp3XOl7JYJDu3m8bLF9+n2f2GDjdiTqoSTlibO0qbxsnGzEP+KlXLfNdDwe/JaJQB5ZzcU/9T/unrGRVjj+FkG+nLjdfXl6G70+O3160OdWxh03/r0SwX3EM5wzBeDRpdpUIfyxHkpSTjtLm24ExVRO+ohEMJn9Xv4G4qs1HxHII6ETwWXs+70oROZ/U5YpR8WmtuESwbmdYpVJdPtLJnh05R6vRPBcBhmHNUOw6ZjZaCKi7/VQkoqBq7R6IsivCqImgod4KTrTn/dIu1NHuETQMYPfqUBbSO+Df3L6p/3nlwh+IozbL12y227E3e+hJBUAV2n1RPAYiHdHz2KOCI7kbzXlb3vb+W3XBtH3wyWCnef3HH2q8NmxjOD59EsEj7DLjIsTNu2Y2qCfStYaPZSk/HOUVk8Ez/3g+2v3Fe/S4E6/zFXutrdXObXJ/xcuEazEVIzPH32q8Nk5CPFLBOGXGYsYud8c9wmwsW4PJSm9LNLuF9slO2vPWG+Ueu+t9yV3twJWdxsmZp5zGg6r+joHIZ6J4MQ2pmtEp7Fz7d9Sgh5KUiGLJI2zZ/DNFD6fYRYWPjndVWeq2HrOaZBXFQqrXcsIPC8NxPuKPJ8RaUale28e5I5Qty2wtIeSlPI40jh7Bt9M4fMZZmFhuERwG6vz5rZ1eSqvcwkTNiJY7XV/s4XuCF/5csbHxcTUQ0nKszjShsqc/3Y18eeoGOZh2iOju5XU/MPaz/ndcNfkQ/ZG2w7UKn9fmXWJ8eutZq1PF77fn20xv3bFTPBrpx+feihJBSaOtKEy5719TmrvzPNm2/x4U3QR8LnbYv9Ztwpouz9F/6VV6nQGGxEUqE5z4wg/+rVUL1DpVPCRwh5KUnGIIq2zMSkFpO1uQ4JbwMswv0vL525L/656S1jrALY7d3D3Puni9k4EW0OS6DLoUva7dKkVtE4PJSl/o0hj6xn3MetPRc3C/DAvm7vqJKntqnj8V+0St7fOPm0h+St+672F8k4EfxGuDZ4j1sbSCoHTbg8lKT+iSGPrGSu/r0TltNpOWr/Yoco9t2zutnX4Ja7drs0H7P92Xk54J4JsEuHaYB3myg+ImhbSQ0lKawxpXD3j4vKdphzt2HLpalEHos0yv+kvp7536Mwe/okgxrXBedE6MZ/f7aEkFZQY0rh6xtxraKw8rraPcfWR9QOXu21RfnovnYP8to32/vbYLpH7/okgxrVBxnsh2RUIclkPJSkfIkhj6hknp6as/Hzf3qbvZRwlTO6+SfHrPOvOLv1mpFXQPS3hnwiyGPcN3FxuRYB3t4eSlIMRpDH1jCnnrUPh/iXQ0JHJXXWCqm339Xp12Pzh6ZbwZ50xZ0gEW97pnk7nY4x2Ow3rC3soSYmNII2nZxw7562UGw7bEzdhqYHH3XeHuq/X33GdJY63h7rTB0MicLtS6XRNXzgOMxusN2g/0kNJSnR4aSw948k+mDxuVQh4tyzudkjyWv/kuGCk2xeGRJCFb3ZZFmG023GejEU9lKT0hpfW3ZqUfXDLu5ZIGvVcn6PVzeJuB/vi0lEIFjkuIe1eT8QwWZhlmyMo3QN2Zp5V8pCiqvZQUjxpHD2DeS2RdN7rG1ZFr2PL4W4Hbeaz7OHotjpZM4DnGBFE6RExhh1dp8pQ1kNJSm1waRw9Y9N5Q1u54LQNtMI443C3yyEfXpflxULDb3f+4EgEWYyFf+FHu10nyljWQ0lKb3BpPi24FCmewFVy2bbzzhlxf3oGd7tEOC0RLonujksmNPOTLIlgFeGhoFOgG0Nd5wcs66EkpTy4NIaesQ5wt8lnqK1i17VlcLeL1udu58HxYa3u9UQscwSZ193QrgB1lEVZQd9h11DUQ0lKbXBp/j3jGmBA4LliV0Xvfevv7junKPlx7MySbOY4z9i9nognETz9Vkx3xuitMMaw482ouaCHkpTg0NL8e8bqqLTybZ8jPq4Gk7+7DTq1sysG5GqXsr05XhlkmqsnlkuDbOHwWDTFa4l1XD5BNUPB91CSkh9amnfP+GN+2ih3XHNrTAXFfevtbrfptfs19WHbTWkt1Vw98SSCo8cQx6q8BEQZdqBiClwPJSkHQkvz7hnLEA+UXkM9E+/trjovza3m27kJ6t7rXijcjW2UalzhSQSuM5gNhbadJe+DajZzyPEeSlKyA0vTNCdl3br9C/J00DnUG2x83dXEQ/PtrEHXi53vN+ied+RJBJlzfqo7Z/ns+Xo3C7vT4R5KUn4ElubbMxYhBgS6e+QqJu5bX3c1lt1p91sNpa1YN2hiSgQesx425dVxXS6rAPE/9FCSCkJgae5NOBcYZIYgyzT3yFVM3Lee7moMezw07fzNqxs0MSUCv+eqNXFqF88db5i0eRj3eyhJeRdWmmfPCDJDEO5Rg0ArC92XEThfGWjvWDIlgigPHjkPh1Tf4N/2UJJyMqw0v0RwDXHLQDge6lGDQInAfRmB8z2DbF/0eNVKqi1XIojxnrxrkAmmKhQuH3ooSbkRVppfIgixhkD6HWyG1M9ddUraW12nbOPe992He7pcyZUIYiwujPKe1PegG0ucXh9pZGQ7GFSaV88IsqhQxs3jdpw57F7uaqmdvz097tLpHsviSgSPUGu66lHcBFidXud3+NxDScqLoNK8ekaIpwxyr6eh3qjt5a46IW9b57cReKzb0c0yciWCzH2w8hYfbUGEV3BpbWsO9FCSUhpUmk/PCPHYYeF091u4VEA8tj7u6s065y2Plby6pQtsiSDs3FQZzBjPO+vPW+eRHkpSOkNK8+kZm6LRKZmMWx9VRhlhiF1ZfYbfOptsiSDs3FR5lhzf0mY8x54HeyhJeRRSmq49KduG7SPY93a4tRMe7uoj4SzXY0JOa5MtEUS5gRh4uZz+nOmP9FCSEhtSmkfP2G2VQO6txwIdixQPd/XM3T9CqMdXRzweLdUtLOR5DDlX6KGu8tD2wWO21EbteryHkpQrIaW594xnuNeoOfcsFTHt1t1dLWWWOb973eOaTztxxDciCPn9U0VzGubHbit+hw89lKS8CCjNvWew/5aB8tajZ70oNJ/c3dUQymLXd6/7vCNU88ZCjp88U56G/P5RNrIYP6ZSGcM+9FCSEh5QmnvPmAR6raBw2n2lnoqYbuvuro5RlLu+e93ntGqfxuAbEWQBv3+qaGpHNhUi+oceSlIxCCjNuWdw/9qh8lVuta28DnL67OyuyZrrxbTPSjHNGws5RwRRvq1Dv2/DdN40x3ooSSkNKM25Zzi+hFu5ZNy6fsUaSfODzu6aqB3XQXrdn9O+E4lxRBDw++cVzkX/3k7SQ0kqXuGkufaMS8jnRXTr6FU43Leu7hot6tb2GCuJcc/WAjAd1i5mZEwEAb9/Xq55LK58kfB+6qEk5WA4aa49I9TjRrnHmhf0qmh4bF3dNZp0JPVaw6tdzMiYCKKsMg53q9h4zkwHeyhJyQ0nzbER30O8w1x5m2m/7iqE6wdHd43mHN+06rOsMMu0i7k4E4H7U5XGgDUPhrsL3bRD2OuhJKU+mDTHnhF2Ifos2M1lR3fVaejcOr7M5+T1XkatI5yJQPPzip1RcC50fnTT2aK1Yg8lKc3BpGkblLLcvfWZ8O5mrJc6XnTXKTSfHd3VsBXFjj3a6yeH9ff4ORNBlEmCKOuWjCfw7WAPJSmNwaS59YzAv8QW7nd23NxVZ6F76ziB45VLtSuMGZcYC2+9pjG6o/VW6nhl9cbDWNBDScq7YNLceka4uxi5w26iVKxM2xDMbi/89bp5mOnfksg5Isj2/L9z/X52vDLiOx1HSQ8lKbdCSXPqGaFeVVg6q32yTgXDfevkrsWc22Wb181Dw/veWRNBlEkCr2sky7lxPNxDScqTUNKceka4FxHk7oa7RxLk5aVubxdxq6Wag/7xBtZEEGWSwONhbBUO7m0PJSkXQ0lzSQRP7b0rpdZvG+7hwyCJwOkeh2cX06+9ZE0EAW/kvppIwAHgywjtUw8lKQdCSXNJBD8rpSrMVvfbHQzWXNy1mXV6mNhz+a5+7SVvIoiykiDGw022k9g63kNJSmEgaS49I+RjBtJd7SO2KhbuWxd3LdbcfsJd/5VuMVcc1r3DmPWhI2HKM19BvmShLnsx652oHkpSOgNJc+gZ7r/Oo3yxbPUXwJaK9sMO7tpI3W7o6F5CbLNWHtc/58Q7InDLcqATChbqslfxO2x7KEl5EUiaQ8/Yhb6nFHA86uCuOgG6rdOMhm8H0z5qwLuOIMucJkB0odKU61dHaSqEL+6hJOV0IGkOPWMc6kcHlKvaZ+0VwH3r4K7NmNOLyhxXI1Za9EuueEcEcYbtoe6NV+Gif+ihJOVEGGn0nuHzgi3li3mrfdbeXA05SnfXyuq0sNDn5URSkd4P5kQQaCDajGrAE940hO/1UJISH0aavkUpu+3t6qddwr0f7ilkQwdydsLpQsZzisBwD4k5EQSfEJJxD/dqOuez2kNJypcw0siJ4KEflSqlvttwTyGHSAT6O3n6OPg9gpxl+kcNuOcIovy6gd9ya32YPY70UJLyJow0ciI4rpWgYNuAE1Rkd+1O6u/k6ev6ThHoHzVgTwSuL2TUO99xJPAKtQ6L1qIeSlKag0gj94zZRekJtg33FHKIEYH+Tp4+QL5TBIYJSuZLA78Xqukj0Dyy7N+LC3soScUsiDRqIohxzRjw4oPqroq9YeuStnzHPIbLRO5E4HR31BCuzkPhXlvdaQ4p7KEkJTuINGrPCPtqosJVqiYVIGAbgNqB0ncVQWaYoOROBN5agbNieKoaqR0EY7j6CmKPQBpEGrUZe053I+6GbHpUd+16XdR6L9w1rLTgTgRRlhS5BNF+arwQPZSk/AkijdgzYlwZuK3ZVVEyb4numsnyoy7PTHu/78NwK5k9Ebi9bgGIXB0S6Emaugnq5x5KUi6EkEbsGTGuDFy6lgqRbUt010YnjrtcQ/u9i0AYNdypYE8ETgumgMA1IFGyTcOidaeHkpTmENKIPSPClYFT11Ihsm2J7troxHHDBL62ttODy3U2w50K9kTg+JLmulz75yjZxi6jjuihJCUvhDRaz4hxZZAFfB1BgNuHhgl8dd7aW/8VIfpnjtjXEWTZqK0/wH6UbEPT3UNJyoEQ0miJIMaVgdN3rAqRbUtz18Ymjzvcy3HIHS0lhiUl7COCLMYoMEq2aQXRthsjAdo0aI4HkEbrGdNwP4X+ctm/n7y42p9o7rZrd+0bJvC74LLM/xLP4AZ/InBZQ61zXVseJdtorXce6KEkpTOANEOTUlZf2yhXBlnA95IEuDQwTOC/Atf8ZBjYN4G6PdP9I/5EEDIxVx465NOqbqAPPZSkPA0gjZQI/F7BrbywbQ2rZWxVrcdJ7lrZJID+hJTvE0dZZrrByp8IQlyRvoU22C/4vFmCC3ooSWkPII3UM7xveylHjNsA6a6yR3K3qmX6QF8t7L8wzPDwYYDJQtP4wxQZ0rEo2YakKOuhJOVAAGmUnuH5Cm7lhW0b8pqU4q5NZ3Gc/qiBw/RiS4oplfCPCDLvS5mW/K7dKNmmy7C+rIeSlNgA0ig9w/fhWeWGZetw1W1hfB2muPuqZfpEf0LK/8Fe0w3WAIkg4ItiXpGNkW1e1qBPPZSkdPNLo/SMQC9SVs6prWHZnII4bynuQkYccrP/STS97z1AIgg5aVMF2T89VlRcH3ooSbnGL43SM8K8NVH5Vm3p029VVesHirtWMgkwzdt1EzikjjaR6b5KgETgsniyLdm673/BZDVBBfRQknKBXxqhZ/gviFNumLfzq/m4z1GCu5gZ07xdNwPDD4uavqIDJIKQD39UMTJd7lSguB96KEkFgF8aoWfEuXmYBZ2bIrirYm7emubtumuavs67a7yVmn4mKUAiyOjzIG+SrQX0oZWV0hfQQ0nKJX5phJ4R5+ZhltHn4VV47FuCu3YyiaAPm/3XFWam+yohEgH9FikWvAbK+0msBhvLTg8lKb/YpeE9g+HaVnlh3ob8/sHdNWusjtKX3TH0KtM0fohEwJC7qoBpP4ScGtIaNR/ooSQlmF0a3jO8X6ujfLBtcUk2pvfj7NzkWRuOfGpqBSESAdnJ98DbSyLdk7ILeSF6KEmJY5eG94xd0cSUknDbAI9WVWJxd6sq5g+my/XOmvTZxXcaw+sIAqwsdLn+eddsLWGYO7HaIAJ6KEl5wC4N7xnz8O8xz718jpWzAba4u6Bx0+V6JwXHb4iZViKEGBFwJK/OYNQL+SfC6+xOn3soSfnBLg3vGSEv3ZV7css/IVpjx92tVTJ9XFPfyG+69WcyVD9mmk4NkQg4Lmfq+js/x3m0tdO0rrCHkpRUdmlwz3B5N59STdoGvWsNu4tKJi+D5FgTZngvSZBLg6A3cqpIh7wkrIzQPvRQknKAWxrcM2KtIjD9rp8KgvsWdhc1saC+qoXhpoHxvn6IEYHDs9Zo/Go40wVPDRbzYw8lKfe5pcE9I8jvLCmv6tugQw/Y3boi0+fZzXS04xhHJjd5ESQRkGdCOhy3FkVrYVYlFaCHkpQ2bmmmNqVs5lvTcLQB9N2hr9UjWITdRTmnDxRZ4Diu7YyX7EESQZT7h+QbMLTIu6B7KEm5wS0N7RmxHjTIgr7EmP9VZeOnOjPYlmO292G6rxIkEdDXT2LRaKDoa7Ma1UPs9FCScpNbGpoIuO0qf963QRsd6u67LE0JdaTP8d1qnE4NkgiifA0wPI2lOUnOxT2UpHzhlob2jCirTHMnTQ/bqyg4b1F3YQOmL+cuEo44Gm/rB0kExouRLjddyoLeN3YRFPhWtpskVYs7WmjPCPACZeVSaxt07IG629Kk3X1MtYe6D3AsyzJOpwZJBFmUGSLuk9N9BkilPZSk9DNLQ+liLSfKgr7NnH2O4D5T5wXcmtYCgRTmHxEPkwg4bnpa3eOIjdUIDdBDScoBZmlgIjBelippPFuOq2itEtBdbf32geu8XWLZ5xBgnEUJkwjI66YsYeg8bHqEorNC+MIeSlJOM0sDG6ax7SlpPFuONbhaJaC72vrtA3/Ldol5n+XKzjiLEiYRRFlIEPKttebToj3aQ0lKK7M0sGcE7Z3KtWLLfYO0wQ6626hj2jmvTEffj7HM9RpnUcIkgijnP+iZfz8XSEkPJSnZzNLAnmF6FYZSxrQN+fsm7HMEpzXNa+OXOUplfAQ1TCII8NM6794a/XqHxyjpoSTlNrM0MBFwr2xW3nRsg45CQXc7ZHUX/Wy7y3Wl+53uCKHc+PUcJhEEXe6pXI94/alM2rY9lKQkM0vDekaU+8ilh8zXPipuxRZzt1nHtHckdmyWLGccFIZJBFEmi43rI0xnIdyxHkpSzjJLw3qG8c61Usa0DXoVgrmLe2L8cu6gMb1krAPeXWS8eAqTCKJ8ExiXTneHInRpDyUpl5mlYT3DOD2llDFtg96pwtzFPdkdcaxEslxibX4NRsMkAuOTzwY1tEPcZ4dmvRPdQ0lKJ680jI36xae0umxZvjR1hjF3dbXfy6lDfZZ1WcYxU6BEwLx85T2SsiTK+sVu07rSHkpSUnmlYT2DY4W80m/b/lOJgDihwTPCXp0NMQyUCKIsLWQZLxli43Coh5KUF7zSsEQQtHMqx8ot84qpJjvmbrOOac/45fxekWU9UWa8eAqUCKK0gKCn/v1sICU9lKRk80rDegZv8lGedG9D/vQh+zoCYiLgmeldmt4nHSgREB3tPrW20ihGbCKax3soSQnklYYlApZLW+WAZftPJQLjl/O7ozy3443vSQyUCKiTIe++AyVRjAA6apAeSlLqeKVBiYD5ToXypHtLfgtgN013KeRud9XOUuKImeNHDbLsE4nAuHahMzQOhVGM0HT1UJJygFca1DN4RrTKAcv2n0oExOs0nmWhxjFToBFB0GdCVYuIYkQZw7Y9lKSE80qDEgHHi/aUfOt2drdC3AGQuwR64mQ6z23YuenNyYESQZSVJFGMEM6ugPZQknKAVxrUM3hNKkc02+m/lAiIs6jGNYGaeLwXG8dMgRIB88r2d6dkSRQj3aZ1pT2UpKTySoMSAe/ViHJEs6W+IFxD010MudtdtbOUmLWIyw46TWaZccwUKBHwTHNqHFLFUYwoY9i2h5KUcF5pUM/gnZ9Ujmi2E+IvBWhouoshd7urdpYSF9wRbzJ0mhTrlE0RCpQIojxtEsWIJqia4h5KUkp5pUE9g+eLTDlg2U6IvxRgoWsehtxtVjHuEZd5Em8yaEx/IhFEmS8mv/hNEyDG4h5KUt7xSoN6Bu/SBeWIZvtfTgTEmwwuEQo0IoiTCKivgtUEiLE4it9uenmlQYnAuJTNzQt9LepvB+mZOo5A7nbU0xURRwTEmwwaq8ZUGSgRRHkhQRQjmqBqinsoSSnllQb1DJ4vMuWAZftPJQLikkviTQZNpD6RCHiektA4pIqjGFHGsG0PJSnhvNKgRMDzRaYcsGypPyJmoWsehtxtVjHufSQRGFNloBHBY2KMA89B3qbNoqmHkpRfvNKgnsHzRaYcsGz/y4mAeJNBEylj9gmVCKi/7abRbiyOupTdqKQ62ENJShuvNCgR8LRf5YBl+08lAih8L4eJUwqvio1PxggFSgQ8b1JouPG+E8XIu1lTSQ8lKbm80qCWzNN+lQOWLaTIwqE9zE1O5DN+l2tFtw98IhGwP8DddirfJ4azk4O5sIeSlIes0iAynvar9Fu2kCILh/YwNzmRjwjXuGFkCTQiSIlAczI+WGxsB1RdEBkEolrW4YMa4yYn8hHhmhAZWVIi0ETNsdgYbEdOpmqs0iAyCMTkXdivHm5PiHxEuCakRpaUCDRRcyw2BtuRk6kaqzSIDAIxeZcSgTWQxtOREoE1fiSAMdgkJnYwqzSIDAJx+RnUGDc5kY8I14TUyJISgSZqjsXGYDtyMlVjlQaRQSAm79KIwBpI4+lIicAaPxLAGGwSEzuYVRpEBoG4/AxqjJucyEeEa0JqZEmJQBM1x2JjsB05maqxSoPIIBCTd2lEYA2k8XSkRGCNHwlgDDaJiR3MKg0ig0BcfgY1xk1O5CPCNSE1sqREoImaY7Ex2I6cTNVYpUFkEIjJuzQisAbSeDpSIrDGjwQwBpvExA5mlQaRQSAuP4Ma4yYn8hHhmpAaWVIi0ETNsdgYbEdOpmqs0iAyCMTkXRoRWANpPB0pEVjjRwIYg01iYgezSoPIIBCXn0GNcZMT+YhwTUiNLCkRaKLmWGwMtiMnUzVWaRAZBGLyLo0IrIE0no6UCKzxIwGMwSYxsYNZpUFkEIjLz6DGuMmJfES4JqRGlpQINFFzLDYG25GTqRqrNIgMAjF5l0YE1kAaT0dKBNb4kQDGYJOY2MGs0iAyCMTlZ1Bj3OREPiJcE1IjS0oEmqg5FhuD7cjJVI1VGkQGgZi8SyMCayCNpyMlAmv8SABjsElM7GBWaRAZBOLyM6gxbnIiHxGuCamRJSUCTdQci43BduRkqsYqDSKDQEzepRGBNZDG05ESgTV+JIAx2CQmdjCrNIgMAnH5GdQYNzmRjwjXhNTIkhKBJmqOxcZgO3IyVWOVBpFBICbv0ojAGkjj6UiJwBo/EsAYbBITO5hVGkQGgbj8DGqMm5zIR4RrQmpkSYlAEzXHYmOwHTmZqrFKg8ggEJN3aURgDaTxdKREYI0fCWAMNomJHcwqDSKDQFx+BjXGTU7kI8I1ITWypESgiZpjsTHYjpxM1VilQWQQiMm7NCKwBtJ4OlIisMaPBDAGm8TEDmaVBpFBIC4/gxrjJifyEeGakBpZUiLQRM2x2BhsR06maqzSIDIIxORdGhFYA2k8HSkRWONHAhiDTWJiB7NKg8ggEJefQY1xkxP5iHBNSI0sKRFoouZYbAy2IydTNVZpEBkEYvIujQisgTSejpQIrPEjAYzBJjGxg1mlQWQQiMvPoMa4yYl8RLgmpEaWlAg0UXMsNgbbkZOpGqs0iAwCMXmXRgTWQBpPR0oE1viRAMZgk5jYwazSIDIIxOVnUGPc5EQ+IlwTUiNLSgSaqDkWG4PtyMlUjVUaRAaBmLxLIwJrII2nIyUCa/xIAGOwSUzsYFZpEBkE4vIzqDFuciIfEa4JqZElJQJN1ByLjcF25GSqxioNIoNATN6lEYE1kMbTkRKBNX4kgDHYJCZ2MKs0iAwCcfkZ1Bg3OZGPCNeE1MiSEoEmao7FxmA7cjJVY5UGkUEgJu/SiMAaSOPpSInAGj8SwBhsEhM7mFUaRAaBuPwMaoybnMhHhGtCamRJiUATNcdiY7AdOZmqsUqDyCAQk3dpRGANpPF0pERgjR8JYAw2iYkdzCoNIoNAXH4GNcZNTuQjwjUhNbKkRKCJmmOxMdiOnEzVWKVBZBCIybs0IrAG0ng6UiKwxo8EMAabxMQOZpUGkUEgLj+DGuMmJ/IR4ZqQGllSItBEzbHYGGxHTqZqrNIgMgjE5F0aEVgDaTwdKRFY40cCGINNYmIHs0qDyCAQl59BjXGTE/mIcE1IjSwpEWii5lhsDLYjJ1M1VmkQGQRi8i6NCKyBNJ6OlAis8SMBjMEmMbGDWaVBZBCIy8+gxrjJiXxEuCakRpaUCDRRcyw2BtuRk6kaqzSIDAIxeZdGBNZAGk9HSgTW+JEAxmCTmNjBrNIgMgjE5WdQY9zkRD4iXBNSI0tKBJqoORYbg+3IyVSNVRpEBoGYvEsjAmsgjacjJQJr/EgAY7BJTOxgVmkQGQTi8jOoMW5yIh8RrgmpkSUlAk3UHIuNwXbkZKrGKg0ig0BM3qURgTWQxtOREoE1fiSAMdgkJnYwqzSIDAJx+RnUGDc5kY8I14TUyJISgSZqjsXGYDtyMlVjlQaRQSAm79KIwBpI4+lIicAaPxLAGGwSEzuYVRpEBoG4/AxqjJucyEeEa0JqZEmJQBM1x2JjsB05maqxSoPIIBCTd2lEYA2k8XSkRGCNHwlgDDaJiR3MKg0ig0BcfgY1xk1O5CPCNSE1sqREoImaY7Ex2I6cTNVYpUFkEIjJuzQisAbSeDpSIrDGjwQwBpvExA5mlQaRQSAuP4Ma4yYn8hHhmpAaWVIi0ETNsdgYbEdOpmqs0iAyCMTkXRoRWANpPB0pEVjjRwIYg01iYgezSoPIIBCXn0GNcZMT+YhwTUiNLCkRaKLmWGwMtiMnUzVWaRAZBGLyLo0IrIE0no6UCKzxIwGMwSYxsYNZpUFkEIjLz6DGuMmJfES4JqRGlpQINFFzLDYG25GTqRqrNIgMAjF5l0YE1kAaT0dKBNb4kQDGYJOY2MGs0iAyCMTlZ1Bj3OREPiJcE1IjS0oEmqg5FhuD7cjJVI1VGkQGgZi8SyMCayCNpyMlAmv8SABjsElM7GBWaRAZBOLyM6gxbnIiHxGuCamRJSUCTdQci43BduRkqsYqDSKDQEzepRGBNZDG05ESgTV+JIAx2CQmdjCrNIgMAnH5GdQYNzmRjwjXhNTIkhKBJmqOxcZgO3IyVWOVBpFBICbv0ojAGkjj6UiJwBo/EsAYbBITO5hVGkQGgbj8DGqMm5zIR4RrQmpkSYlAEzXHYmOwHTmZqrFKg8ggEJN3aURgDaTxdKREYI0fCWAMNomJHcwqDSKDQFx+BjXGTU7kI8I1ITWypESgiZpjsTHYjpxM1VilQWQQiMm7NCKwBtJ4OlIisMaPBDAGm8TEDmaVBpFBIC4/gxrjJifyEeGakBpZUiLQRM2x2BhsR06maqzSIDIIxORdGhFYA2k8HSkRWONHAhiDTWJiB7NKg8ggEJefQY1xkxP5iHBNSI0sKRFoouZYbAy2IydTNVZpEBkEYvIujQisgTSejpQIrPEjAYzBJjGxg1mlQWQQiMvPoMa4yYl8RLgmpEaWlAg0UXMsNgbbkZOpGqs0iAwCMXmXRgTWQBpPR0oE1viRAMZgk5jYwazSIDIIxOVnUGPc5EQ+IlwTUiNLSgSaqDkWG4PtyMlUjVUaRAaBmLxLIwJrII2nIyUCa/xIAGOwSUzsYFZpEBkE4vIzqDFuciIfEa4JqZElJQJN1ByLjcF25GSqxioNIoNATN6lEYE1kMbTkRKBNX4kgDHYJCZ2MKs0iAwCcfkZ1Bg3OZGPCNeE1MiSEoEmao7FxmA7cjJVY5UGkUEgJu/SiMAaSOPpSInAGj8SwBhsEhM7mFUaRAaBuPwMaoybnMhHhGtCamRJiUATNcdiY7AdOZmqsUqDyCAQk3dpRGANpPF0pERgjR8JYAw2iYkdzCoNIoNAXH4GNcZNTuQjwjUhNbKkRKCJmmOxMdiOnEzVWKVBZBCIybs0IrAG0ng6UiKwxo8EMAabxMQOZpUGkUEgLj+DGuMmJ/IR4ZqQGllSItBEzbHYGGxHTqZqrNIgMgjE5F0aEVgDaTwdKRFY40cCGINNYmIHs0qDyCAQl59BjXGTE/mIcE1IjSwpEWii5lhsDLYjJ1M1VmkQGQRi8i6NCKyBNJ6OlAis8SMBjMEmMbGDWaVBZBCIy8+gxrjJiXxEuCakRpaUCDRRcyw2BtuRk6kaqzSIDAIxeZdGBNZAGk9HSgTW+JEAxmCTmNjBrNIgMgjE5WdQY9zkRD4iXBNSI0tKBJqoORYbg+3IyVSNVRpEBoGYvEsjAmsgjacjJQJr/EgAY7BJTOxgVmkQGQTi8jOoMW5yIh8RrgmpkSUlAk3UHIuNwXbkZKrGKg0ig0BM3qURgTWQxtOREoE1fiSAMdgkJnYwqzSIDAJx+RnUGDc5kY8I14TUyJISgSZqjsXGYDtyMlVjlQaRQSAm79KIwBpI4+lIicAaPxLAGGwSEzuYVRpEBoG4/AxqjJucyEeEa0JqZEmJQBM1x2JjsB05maqxSoPIIBCTd2lEYA2k8XSkRGCNHwlgDDaJiR3MKg0ig0BcfgY1xk1O5CPCNSE1sqREoImaY7Ex2I6cTNVYpUFkEIjJuzQisAbSeDpSIrDGjwQwBpvExA5mlQaRQSAuP4Ma4yYn8hHhmpAaWVIi0ETNsdgYbEdOpmqs0iAyCMTkXRoRWANpPB0pEVjjRwIYg01iYgezSoPIIBCXn0GNcZMT+YhwTUiNLCkRaKLmWGwMtiMnUzVWaRAZBGLyLo0IrIE0no6UCKzxIwGMwSYxsYNZpUFkEIjLz6DGuMmJfES4JqRGlpQINFFzLDYG25GTqRqrNIgMAjF5l0YE1kAaT0dKBNb4kQDGYJOY2MGs0iAyCMTlZ1Bj3OREPiJcE1IjS0oEmqg5FhuD7cjJVI1VGkQGgZi8SyMCayCNpyMlAmv8SABjsElM7GBWaRAZBOLyM6gxbnIiHxGuCamRJSUCTdQci43BduRkqsYqDSKDQEzepRGBNZDG05ESgTV+JIAx2CQmdjCrNIgMAnH5GdQYNzmRjwjXhNTIkhKBJmqOxcZgO3IyVWOVBpFBICbv0ojAGkjj6UiJwBo/EsAYbBITO5hVGkQGgbj8DGqMm5zIR4RrQmpkSYlAEzXHYmOwHTmZqrFKg8ggEJN3aURgDaTxdKREYI0fCWAMNomJHcwqDSKDQFx+BjXGTU7kI8I1ITWypESgiZpjsTHYjpxM1VilQWQQiMm7NCKwBtJ4OlIisMaPBDAGm8TEDmaVBpFBIC4/gxrjJifyEeGakBpZUiLQRM2x2BhsR06maqzSIDIIxORdGhFYA2k8HSkRWONHAhiDTWJiB7NKg8ggEJefQY1xkxP5iHBNSI0sKRFoouZYbAy2IydTNVZpEBkEYvIujQisgTSejpQIrPEjAYzBJjGxg1mlQWQQiMvPoMa4yYl8RLgmpEaWlAg0UXMsNgbbkZOpGqs0iAwCMXmXRgTWQBpPR0oE1viRAMZgk5jYwazSIDIIxOVnUGPc5EQ+IlwTUiNLSgSaqDkWG4PtyMlUjVUaRAaBmLxLIwJrII2nIyUCa/xIAGOwSUzsYFZpEBkE4vIzqDFuciIfEa4JqZElJQJN1ByLjcF25GSqxioNIoNATN6lEYE1kMbTkRKBNX4kgDHYJCZ2MKs0iAwCcfkZ1Bg3OZGPCNeE1MiSEoEmao7FxmA7cjJVY5UGkUEgJu/SiMAaSOPpSInAGj8SwBhsEhM7mFUaRAaBuPwMaoybnMhHhGtCamRJiUATNcdiY7AdOZmqsUqDyCAQk3dpRGANpPF0pERgjR8JYAw2iYkdzCoNIoNAXH4GNcZNTuQjwjUhNbKkRKCJmmOxMdiOnEzVWKVBZBCIybs0IrAG0ng6UiKwxo8EMAabxMQOZpUGkUEgLj+DGuMmJ/IR4ZqQGllSItBEzbHYGGxHTqZqrNIgMgjE5F0aEVgDaTwdKRFY40cCGINNYmIHs0qDyCAQl59BjXGTE/mIcE1IjSwpEWii5lhsDLYjJ1M1VmkQGQRi8i6NCKyBNJ6OlAis8SMBjMEmMbGDWaVBZBCIy8+gxrjJiXxEuCakRpaUCDRRcyw2BtuRk6kaqzSIDAIxeZdGBNZAGk9HSgTW+JEAxmCTmNjBrNIgMgjE5WdQY9zkRD4iXBNSI0tKBJqoORYbg+3IyVSNVRpEBoGYvEsjAmsgjacjJQJr/EgAY7BJTOxgVmkQGQTi8jOoMW5yIh8RrgmpkSUlAk3UHIuNwXbkZKrGKg0ig0BM3qURgTWQxtOREoE1fiSAMdgkJnYwqzSIDAJx+RnUGDc5kY8I14TUyJISgSZqjsXGYDtyMlVjlQaRQSAm79KIwBpI4+lIicAaPxLAGGwSEzuYVRpEBoG4/AxqjJucyEeEa0JqZEmJQBM1x2JjsB05maqxSoPIIBCTd2lEYA2k8XSkRGCNHwlgDDaJiR3MKg0ig0BcfgY1xk1O5CPCNSE1sqREoImaY7Ex2I6cTNVYpUFkEIjJuzQisAbSeDpSIrDGjwQwBpvExA5mlQaRQSAuP4Ma4yYn8hHhmpAaWVIi0ETNsdgYbEdOpmqs0iAyCMTkXRoRWANpPB0pEVjjRwIYg01iYgezSoPIIBCXn0GNcZMT+YhwTUiNLCkRaKLmWGwMtiMnUzVWaRAZBGLyLo0IrIE0no6UCKzxIwGMwSYxsYNZpUFkEIjLz6DGuMmJfES4JqRGlpQINFFzLDYG25GTqRqrNIgMAjF5l0YE1kAaT0dKBNb4kQDGYJOY2MGs0iAyCMTlZ1Bj3OREPiJcE1IjS0oEmqg5FhuD7cjJVI1VGkQGgZi8SyMCayCNpyMlAmv8SABjsElM7GBWaRAZBOLyM6gxbnIiHxGuCamRJSUCTdQci43BduRkqsYqDSKDQEzepRGBNZDG05ESgTV+JIAx2CQmdjCrNIgMAnH5GdQYNzmRjwjXhNTIkhKBJmqOxcZgO3IyVWOVBpFBICbv0ojAGkjj6UiJwBo/EsAYbBITO5hVGkQGgbj8DGqMm5zIR4RrQmpkSYlAEzXHYmOwHTmZqrFKg8ggEJN3aURgDaTxdKREYI0fCWAMNomJHcwqDSKDQFx+BjXGTU7kI8I1ITWypESgiZpjsTHYjpxM1VilQWQQiMm7NCKwBtJ4OlIisMaPBDAGm8TEDmaVBpFBIC4/gxrjJifyEeGakBpZUiLQRM2x2BhsR06maqzSIDIIxORdGhFYA2k8HSkRWONHAhiDTWJiB7NKg8ggEJefQY1xkxP5iHBNSI0sKRFoouZYbAy2IydTNVZpEBkEYvIujQisgTSejpQIrPEjAYzBJjGxg1mlQWQQiMvPoMa4yYl8RLgmpEaWlAg0UXMsNgbbkZOpGqs0iAwCMXmXRgTWQBpPR0oE1viRAMZgk5jYwazSIDIIxOVnUGPc5EQ+IlwTUiNLSgSaqDkWG4PtyMlUjVUaRAaBmLxLIwJrII2nIyUCa/xIAGOwSUzsYFZpEBkE4vIzqDFuciIfEa4JqZElJQJN1ByLjcF25GSqxioNIoNATN6lEYE1kMbTkRKBNX4kgDHYJCZ2MKs0iAwCcfkZ1Bg3OZGPCNeE1MiSEoEmao7FxmA7cjJVY5UGkUEgJu/SiMAaSOPpSInAGj8SwBhsEhM7mFUaRAaBuPwMaoybnMhHhGtCamRJiUATNcdiY7AdOZmqsUqDyCAQk3dpRGANpPF0pERgjR8JYAw2iYkdzCoNIoNAXH4GNcZNTuQjwjUhNbKkRKCJmmOxMdiOnEzVWKVBZBCIybs0IrAG0ng6UiKwxo8EMAabxMQOZpUGkUEgLj+DGuMmJ/IR4ZqQGllSItBEzbHYGGxHTqZqrNIgMgjE5F0aEVgDaTwdKRFY40cCGINNYmIHs0qDyCAQk5/PERNRJw23J0Q+IrzThcycKlMi0ETNsZjnlDkaN1djlQaRQSCzaPhoSgTWUBlPR0oE1viRAMZgk5jYwazSIDIIxORnSgTWQBpPR0oE1viRAMZgk5jYwazSIDIIxOTnY8xE1EnD7QmRjwjvdCFdGmjCEqaY55QF0cYqDSKDQEy+pkRgDaTxdKQRgTV+JIAx2CQmdjCrNIgMAjH5eZ8wEXXScHtC5CPCO11IIwJNWMIU85yyINpYpUFkEIjJ15QIrIE0no40IrDGjwQwBpvExA5mlQaRQSAmP1MisAbSeDpSIrDGjwQwBpvExA5mlQaRQSAmP29TJqJOGm5PiHxEeKcL6dJAE5YwxTynLIg2VmkQGQRi8jUlAmsgjacjjQis8SMBjMEmMbGDWaVBZBCIyc/bjImok4bbEyIfEd7pQhoRaMISppjnlAXRxioNIoNATL5eUyKwRdJ4OtKIwBY+2nFjsGlU3GhWaRAZBGJyMyUCayCNpyMlAmv8SABjsElM7GBWaRAZBGLy82/ORNRJw+0JkY8I73QhXRpowhKmmOeUBdHGKg0ig0BMvqZEYA2k8XSkEYE1fiSAMdgkJnYwqzSIDAIx+ZkSgTWQxtOREoE1fiSAMdgkJnYwqzSIDAIx+XlZMBF10nC/7IAYGSK804V0aaAJS5hinlMWRBurNIgMAjH5GjgRPJlkljTEyBDhGq1GljQi0ETNsdgYbEdOpmqs0iAyCMTk3XnJRNRJM0qJII9LkS46Q6QpjNIGohjROKgp7qEkpZRVGkQGgZQ8z+1p5UlgrJ4SQRGelAiMzaR2MGbbr5lFPrJKg8ggECIdwPyuAZAzJCWCInQpEaBNKGbbRzWVOFZpEBkEInqhg/9sdEc4ylMiKKKYEgHammK2fVRTiWOVBpFBIKIXOvhxqzvCUZ4SQRHFlAjQ1hSz7aOaShyrNIgMAhG90MEPO90RjvKUCIoopkSAtqaYbR/VVOJYpUFkEIjohQ6+O+iOcJSnRFBEMSUCtDXFbPuophLHKg0ig0BEL3Tw7VF3hKN8/OBgeXEQI0OEv+w0PhlZii4+aFR430mJ4D0m3SXGYHdXiVXKKg0ig0BM7m9+mIg6aVIiKMKSEkFn8+gojNn2O8ybililQWQQyCSZcGz9SwCToSkRFCFLiQBtOjHbPqqpxLFKg8ggENELHXx10h3hKE+JoIhiSgRoa4rZ9lFNJY5VGkQGgYhe6ODLs+4IR3lKBEUUUyJAW1PMto9qKnGs0iAyCET0QgdfXHRHOMpTIiiimBIB2ppitn1UU4ljlQaRQSCiFzr4/E93hKM8JYIiiikRoK0pZttHNZU4VmkQGQQieqGDz666Ixzlk3T7MA9jSgRoa4rZ9lFNJY5VGkQGgYhe6ODTm+4IR/nkzsHy4iBGhgh/2Wl8MrIUXTytI2hEzGPHGGwPXoaqrNIgMgjE4Jmk4O6qTVnc7MTIEOFN7dWekSUlgipOLB+MwWax4EzCKg0ig0DO/jQrcl/FN9lTIijikS4Nmu1Cvxez7etVdB5hlQaRQaBOrfRC7qcBmgpSIijikRJBs13o92K2fb2KziOs0iAyCNSplV4Y1lZKBMUZSYkAbZlh2yOqohPHKg0ig0CdWsmFT+73DDcVcE9FEiNDhDe1V3tGljRHUMWJ5YMx2CwWnElYpUFkEMjZn0bFx7ixy72TEkER0TQiQFtWxLaPSlI4VmkQGQRS8vy2YX8VPUuJoDg9KRGgzTRi20clKRyrNIgMAil5ftuwv4GaEkF5dlIiQJtpxLaPSlI4VmkQGQRS8vy2YX/xLCWC8uykRIA204htH5WkcKzSIDIIpOT5bcP+vkk2Y163SIwMEa4JpZGl6OJpZaEmduRiY7DJbKwVWKVBZBCIx8ewv2+ScT/JQIwMEa4JqZElJQJN1ByLjcF25GSqxioNIoNAPN6F/VmDlAjKs5QuDdDmGrHto5IUjlUaRAaBlDy/bdifNUiJoDw7KRGgzTRi20clKRyrNIgMAil5fts9vYlSDKZLgyJa9ChHaQNRjFDai+U36GlU3GjWaEFkEIjHzbBvM08jgvIspUSANteIbR+VpHCs0iAyCKTk+W3Dvs08437/ETEyRLgmlEaWoounuwaa2JGLjcEms7FWYJUGkUEgHh/DvsQ4JYLyLKURAdpcI7Z9VJLCsUqDyCCQkue3Dfvu0pQIyrOTEgHaTCO2fVSSwrFKg8ggkJLnt+Ueu7fUcNMTI0OEt8SrXSNLujRQYeLZGoPNY8KVhVUaRAaBXN1p1uN+KqjJnkYEZTzSiKDVMLS7Edu+VoPmAKs0iAwCadQSi8O+qSzjvvIgRoYI18TOyJJGBJqoORYbg+3IyVSNVRpEBoF4vAv7prKUCMqzlEYEaHON2PZRSQrHKg0ig0BKnt82sKk0IihOT0oEaDMN3CBRGV04VmkQGQTqkkouC/yCojQiKM9ISgRo04zX9lFFFY5VGkQGgSp9Ph8Cv6AoWzL/siIxMkS4JpJGljRHoImaY7Ex2I6cTNVYpUFkEIjFu8DvJcm4f2uZGBkiXBNSI0tKBJqoORYbg+3IyVSNVRpEBoFYvAv8XpKUCMqzlC4N0OYar+2jiiocqzSIDAJV+nw+/K59atvrphFBEaOUCOxtpUDEa/uoogrHKg0ig0CVPp8PgV9HkHE/ykCMDBGuiaSRJV0aaKLmWGwMtiMnUzVWaRAZBGLx7rBjodGSpERQhCaNCLRNpHUgXttvGbbvskqDyCCQXTiA2B0AkAckJYIieCkRoI0oXttHFVU4VmkQGQSq9Pl8CPw6gnRpUJ6clAjQVhqv7aOKKhyrNIgMAlX6fD5wf2O3tax/2yV++8TIEOEabUaWNEegiZpjsTHYjpxM1VilQWQQiMW7OfOCn7aolAiKiKQRQbtl6PbjtX2dAm05qzSIDAJp9VIOBH4KOUuJoDgbKRGgrTJe20cVVThWaRAZBKr0+XwI/BRySgTlyUmJAG2l8do+qqjCsUqDyCBQpc/nQ2hL3JORRL1EuCaSRpY0R6CJmmOxMdiOnEzVWKVBZBCIw7vniIPFwJESQRGcNCIwNJLGoWhtv2EV2mGVBpFBIEi7BXSfWAC+h1MiKCKYEgHakqK1fVTQC8cqDSKDQC+B7p+uM/e6UM2UCIowpUQANRcBitb2UUEvHKs0iAwCvQS6f7os3OtCNbl/SIkYGSJc45KRJc0RaKLmWGwMtiMnUzVWaRAZBOLwLvTDh1lKBMVpSiMCtLlGa/uooBeOVRpEBoFeAt0/hX74MCWC8tykRIA20mhtHxX0wrFKg8gg0Eug+6fAv4WcZbuju7iumsTIEOFdFkWZkSVdGmii5lhsDLYjJ1M1VmkQGQTi8I575P6mifvpRmJkiPA3+UWBkSUlAk3UHIuNwXbkZKrGKg0ig0Ac3oV+5ihLiaA4TenSAG2u0do+KuiFY5UGkUGgl0D3T9w/O/CmJCWCIiQpEbw1DU1BtLavsW8oZpUGkUEgg2L40OwKQ92A3JMQxMgQ4RofjSzp0kATNcdiY7AdOZmqsUqDyCAQh3eTOweLgSMlgiI4aURgaCSNQ9HafsMqtMMqDSKDQJB2Cyi4oZQIijOQEoGlJVaHgzfJyhL5A6s0iAwCkf14rxD8maOM++WoxMgQ4e8RykuMLOnSQBM1x2JjsB05maqxSoPIIBCDd6F/8CxLiaA8S2lEgDbXWG0f1VPDsUqDyCBQTaHrx9A/eJYSgTozKRGoSNi2sdq+TUfHcVZpEBkE6lBKLTqtqDWoeO41zMTIEOEa74ws6dJAEzXHYmOwHTmZqrFKg8ggEIN3PxsGEiNFSgRFeNKIwNhMagdjtf2aSfQjqzSIDAKh8g047jn9d1MpERQxSYngvW10l8Rq+93WjaWs0iAyCGTUjB0M/qhB9rPFlKAoYmSIcI0KI0u6NNBEzbHYGGxHTqZqrNIgMgjE4F3wRw0y7osPYmSIcE1IjSwpEWii5lhsDLYjJ1M1VmkQGQRi8C74owYpEZRnKV0aoM01VttH9dRwrNIgMghUU+j6MfTPm2QpEZSnJiUCtI3GavuonhqOVRpEBoFqCl0/hv55kyzjfhcaMTJEuCaORpZ0aaCJmmOxMdiOnEzVWKVBZBCIwbvwdlIiKE5TGhGgzTV8m0SVvOFYpUFkEOhNJ7kg+K8apBGBOicpEahI2LaR2r5NRtdxVmkQGQTqkkorC/6rBlnGvXaRGBkiXBM+I0u6NNBEzbHYGGxHTqZqrNIgMgjk79156c9hYUiJoAhQGhFYGkp1OFLbr+wRPrBKg8ggEMEDDZT7Jn+HmZQIiqCkRNDRODqLIrX9TtuWQlZpEBkEsqgGDnO/LKDDJPeggxgZIrzDAVlkZEmXBpqoORYbg+3IyVSNVRpEBoH8vQu/wjhLiaA4TWlEgDbXSG0flVPHsUqDyCBQXaLb5/ArjFMiKM9MSgRoE43U9lE5dRyrNIgMAtUlun0Ov8I44/6VVWJkiHBNGI0s6dJAEzXHYmOwHTmZqrFKg8ggkL934VcYp0RQnqU0IkCba6S2j8qp41ilQWQQqC7R7fPo6VaPUCuNCIpgpUSANppIbR+VU8exSoPIIFBdov3zeb28tVAh3mG8+20aab0Vcf/TPEzeI0aGCNfIMbKkSwNN1ByLjcF25GSqxioNIoNAJO+ug+3h0arB/A7jtewSs9bLz1qJYNk63FSUMzSL2nvEyBDhbWvlvpElJQJN1ByLjcF25GSqxioNIoNAJO8O43c487B9vhYmLIngXUS9JGeoF7x/JkaGCH+3l5cYWVIi0ETNsdgYbEdOpmqs0iAyCGTxbvdzmK6y03yy+Muy/fh7IfppuVccyrbj/Fi2+zlOp0dJd5qPZ4cK1mngspxMN2Js8ap0nI3lVcdhOFos7rPNi0uyX2elsYJsL8yomuLAJDe7OYmDh2PJ0Gm1KiRGhgivzDQ/GFlSImgGy3fPGGxfcr/6rNIgMghkcWo2nP+ejl/78/brml2Wo99TpvbyQ9nxe54fy2bD5Wk3OGfZcbA9i2XHCtZpYL8/n6ZT8dWvKh2+9qf59yP7m8x/f59VcUlynRXGSi75na8gs+HitB+ISYOx7EuLVcnQabUqJEaGCK/MND8YWVIiaAbLd88YbF9yv/qs0iAyCGRxaiYvBr7F93u2Es8W7Sa1vfxQ9r0QB+WxmTw2E130eyc+1Crlex3/PAbXWiXZE4bbLCsuDSquwvJtVhgrWfJEUEJmI1G4ESpVIigYSqRmQ4wMEe5iNCUCTdQci3lOmaNxczVWaRAZBDKLznv2dbDebreyK8pEUO3JTi/2JsviWL67XoiS/EfSK1ingYegGw9OOX0mKt3ySqu5SgSSOucqLN+mObuiyhNBCZnJX1c5D54pEajoNLYcbaBB2LUTxUiXYX1ZDyUpsazSIDIIpORptnLa7m+w2Yk/8eUsE0G1l8/o/Q0m6+JYvruei+P5DcYK1kk8mZ+v18FvMSsoKl3zSuuZSgTytkDOVVgWiaB+oyBPBCUkzxCXwSMlgs5Ac7SBTuJ6YRQjdYP2zz2UpESzSoPIIJCSp9nKDvgQPbb4k4mg2sv75mMwzvu9uCooe2Z5vIJ1Ed9lv7/VEsFTjA6yTExLlpcGTa7sPtEnApE8xHyEqLwVHyaKQXw2/BEjQ4RrDBtZ0qWBJmqOxcZgO3IyVWOVBpFBIIt3eQdcjsRo/yrmAfM5ArVX9M3l8FIcU4kgy49fio2s1PH3HByy56yWCLLl+J79DMSdifX08aySiiIxJQLBch+JxLEZPcQ8pUgEOUOH0VoRMTJEeM1Q/aORJSWCeqj8PxuD7U/vw8AqDSKDQBaX8u79XA2+v76PZSJQe0UieAzLY1UieC4G34N5pmCdBg6D4df+63VpkD2mgkb2htv0a3B9cRWWTYlgNfkezJ5ipDIefC3EXYOCodNqVUiMDBFemWl+MLKkRNAMlu+eMdi+5H71WaVBZBAIc+p5vdeA9b3btL5XgB4F+v3Ai+N5FX238Xd/K8kP5yQPee+i+0/kjFt5cXKra+xGl6XEyBDhGtNGlpQINFFzLDYG25GTqRqrNIgMAvl6x7ywsFuOORF01zGVEiNDhGssG1lSItBEzbHYGGxHTqZqrNIgMgjk6x33Tw506ikSwX1R/DW++BfFqoXOatpCYmSIcI1ZI0tKBJqoORYbg+3IyVSNVRpEBoE8vMsH98HfWCjH/cUTjtdT8de+qKC7QIwMEa7RY2RJiUATNcdiY7AdOZmqsUqDyCCQh3cncb8gy99Y+PTvm1odR2ElTwSXoxZDPUCMDBGuUWNkSYlAEzXHYmOwHTmZqrFKg8ggkId3z7G4+S/fWHhzGZ6jhh/jS54ILow/sUiMDBGu8czIkhKBJmqOxcZgO3IyVWOVBpFBIB/v5BqC+V/2M2pctfswdtVdjC7iVeCX4abroFsZMTJEuEaTkSUlAk3UHIuNwXbkZKrGKg0ig0A+3v2OhpfJbTUsWrEPk6nu33B0GV6Gw/ImoQmKHiNGhgjXqDCypESgiZpjsTHYjpxM1VilQWQQyMe752g4Gk6G+pv8PuSvupPReDgcLV8F3p+IkSHCNfKMLCkRaKLmWGwMtiMnUzVWaRAZBPLybjkVmWAoFgYH/fsdikQgZgr4/oiRIcI1Oo0sKRFoouZYbAy2IydTNVZpEBkE8vLudzocDjm/qrvViGQzEm8x4fsjRoYI1+g0sqREoImaY7Ex2I6cTNVYpUFkEMjLO3FtMBwGvHVYitsNhxPfFxc3/CRGhghvmHrtGFlSIngFiuOTMdgcBtw5WKVBZBDI3SFZczkZHv0YoNriygDCoSBiZIhwjQojS0oEmqg5FhuD7cjJVI1VGkQGgfy8+x2KNxSE/1sz35ggRoYI18TDyJISgSZqjsXGYDtyMlVjlQaRQSA/766j7hcO+LG2a99O4l0DnH/EyBDhGqVGlpQINFFzLDYG25GTqRqrNIgMAnl499yJ2fzheB92kuC5z63sOK0QI0OEa0JqZEmJQBM1x2JjsB05maqxSoPIIJC7d/fpcHk8H5fDaciFhUGsECNDhGtCamRJiUATNcdiY7AdOZmqsUqDyCCQs3fP6fj8lH/n8ZTz27opKIwVYmSI8KYH1Z6RJSWCKk4sH4zBZrHgTMIqDSKDQM7+7IZFHhCZgHkqry5pX7PC92gTMTJEeF1/7bORJSWCWqQYPhqDzcDvQcEqDSKDQM4ejZf5eED+s+S9uVeXNF6FsEKMDBFe11/7bGRJiaAWKYaPxmAz8HtQsEqDyCCQq0e34U/VRX84HwhqCApkhRgZIrzhwWvHyJISwStQHJ+MweYw4M7BKg0ig0Akh25H+Usn+d96eKoSwWkof+QkxJ/Gyo/n3URiZIhwTUiNLCkRaKLmWGwMtiMnUzVWaRAZBCJ497M93qrOf22MCK5VOe8HjZXrYev1DBIxMkS4JqRGlpQINFFzLDYG25GTqRqrNIgMAsHeXTZ/9U7+aMwRPOqHGD/rrfxuPW5VECNDhGtCamRJiUATNcdiY7AdOZmqsUqDyCAQ6t3x2Orf9bsGu9Yxvl29lfvGffkCMTJEuCakRpaUCDRRcyw2BtuRk6kaqzSIDAKB3h3UvcKqj99r6wjuVSn3B4OVh/uYgBgZIlwTUiNLSgSaqDkWG4PtyMlUjVUaRAaBMO9+XzODVVe/VisLQ80QSFMGK3fnhQXEyBDhmpAaWVIi0ETNsdgYbEdOpmqs0iAyCAR59+gc+9+LZw124cYDMhMYrPy6zhgSI0OEa0JqZEmJQBM1x2JjsB05maqxSoPIIBDk3b7q6/vD87l7TRdczyFHA8pU28r5WF6obCH17yBiZIjwd3t5iZElJQJN1ByLjcF25GSqxioNIoNAkHd7+dWc/y3EesLFWu21t6vOkUMble9j0C5Tj9n39KtY1nhwXE9AjAwRrgmpkSUlAk3UHIuNwXbkZKrGKg0ig0CId6dL1ZdlItD/zbQp4q0OAdqqu/u+Pv8G+ajk6vgCM2JkiHBNSI0sKRFoouZYbAy2IydTNVZpEBkEQrwrBwS7yfQoE8FOXB5sj/uJ+Pg7Gy9klvidj6f75344Wixuz+dhOl6KRQc55jd/WOCwVb35shhPlrcSel5OJmt52fGQ3PKyo2Is8IWpw2QqD5V/+eMH81m+V/QfxIcGhhgZIrxh6rVjZEmJ4BUojk/GYHMYcOdglQaRQSDEoSIR7L72v9Nv0fvnom9Ph/Of3+fha3fafl2eh8HmdNw8L5PZz8/9uf/a/c6/7wXmOhDX849vdXHx+F6dfsXSpAK6251+plPRpbdfh9+Z5FaMZacvTC1+toPqtsVjIJPCdpgSAXLq2NqAyVgUIyYB78d6KEmJZJUGkUEgJc+0zXtx3pnv8uI8751j0RGL/r1cPL7LL/x8vP/4FjMFj+FGvEpAdta5qPHzpWYb/wbl7GJ1aXAb/D0fX6JzP0QiUIx5L5eVZc6ZiA8z8aH4uw/k0077r3wvjQhM500cY2sDJjtRjJgEvB/roSQlklUaRAaBlDzTNk8Ef6LDig6pEoHsmJfBarvZzMaXQTmJkPfuv3xvOX9O8877K5LAqxs/xsP1SS5IzqG3zXQ8HvyKS/6SWzHmvVz8kycCOfGwmquilAhMp6p9jK0NtInr+1GM1A3aP/dQkhLNKg0ig0BKnmmbJ4JL/l0uv9/z3rkRHfM8yJ863J/zfiwK8t5dAFfT51Rins/R/qoShdi7H+ZfIzEqyKGT2e/lT3zDV9yKMa8o/qlMvRLB80vK2YxySBoRmM6bOMbWBkx2ohgxCXg/1kNJSiSrNIgMAil5pm2eCO7im1v06noiKL6cRefOR+tlvy33pkuVCHbjjRzcv/7uI/EdL7u4vCoQo4GfospjuHwxleiuRDBdiIP5P+IKwSRbf4wYGSJcY9fIkiYLNVFzLDYG25GTqRqrNIgMAiHe5YnguZiIecBBPRE8lyNxTfB3ei5G4jpfTAquJ7e7WGcwvj2PYo6wHBHcBnIGoPy7/j6e95GYRJDQ+2D/vM9kFlmNzte1nH9QjCW8KxFI6t9y8jAlAsv5Y2sDJjtRjJgEvB/roSQlklUaRAaBlDzTtkgEt/Hge9q4NHjel4Pvr+/D874YfA/EVfx1+iW+5G/TwdeX6OtlInguqqlCMa3wPRgO5mKSIIfuRfXdl0gE9+XX92YuBgqK0ZAInhthrFy5lBKB6byJY2xtwGQnihGTgPdjPZSkRLJKg8ggkJJn2haJQHz3v68nvl+uoleLUf7lVvZduble8sKypJg0VIevFzFoUH/32s5jWFyClIwK0rF91UqJwHTexDG2NmCyE8WIScD7sR5KUiJZpUFkEEjJM21VIujok/ai60FNJRqwl8PlvBBLD6h/KRGYzps4xtYGTHaiGDEJeD/WQ0lKJKs0iAwCKXmmrVciGI/kDMFtXvzVxw21Xv83G40W8hZi8deF7ipLk4Wm0yaPsbUBk6EoRkwC3o/1UJISySoNIoNASp5pu9p7/+1Wxd8OYupCd5XtVybZ+mPEyBDhGrtGlmJoM9BUVcX0AZDRqKL13UYxQhPZQ0nKAVZpEBkEUvJMW3r7M7FxHnNURowMEa5x0MiSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDhGp+MLCkRaKLmWGwMtiMnUzVWaRAZBEK8c+xuCLUnxlEZMTJEuMYnI0tKBJqoORYbg+3IyVSNVRpEBoEQ7xy7G0LtiXFURowMEa7xyciSEoEmao7FxmA7cjJVY5UGkUEgxDvH7oZQe2IclREjQ4RrfDKypESgiZpjsTHYjpxM1VilQWQQCPHOsbsh1J4YR2XEyBDh3T49R93lRWlKBKbo0I+xnDK6WaQGqzSIDAIh0h27G0LtiXFURowMEd7t02PcXV6UpkRgig79GMspo5tFarBKg8ggECLdsbsh1J4YR2XEyBDh3T7dJ93lRWlKBKbo0I+xnDK6WaQGqzSIDAIh0h27G0LtiXFURowMEd7t023aXV6UpkRgig79GMspo5tFarBKg8ggECLdsbsh1J4YR2XEyBDh3T5dZ93lRWlKBKbo0I+xnDK6WaQGqzSIDAIh0h27G0LtiXFURowMEd7t02XRXV6UpkRgig79GMspo5tFarBKg8ggECLdsbsh1J4YR2XEyBDh3T6dl93lRWlKBKbo0I+xnDK6WaQGqzSIDAIh0h27G0LtiXFURoyM8cYf6sFpZUKmRGCKDv0Y8QzTDbjXYJUGkUEgxCHH7oZQe2IcldEiY14BgHrwszEhUyIwRYd+jHaG6fweNVilQWQQCPHIsbsh1J4YR2W0yPAkgp1Ra0oEni2hVZ12hluVw+6ySoPIIBDitLEJIwTBMI7KaJExLwVCfVv/mpApEZiiQz9GO8N0fo8arNIgMgiEeOTY3RBqT4yjMlpkeBLB/GLyNSUCU3Tox2hnmM7vUYNVGkQGgRCPHLsbQu2JcVRGi4x5TSDqweRuQqZEYIoO/RjtDNP5PWqwSoPIIBDikWN3Q6g9MY7KaJHhSQRmmykReLaEVnVztFvguLus0iAyCIQEwbG7IdSeGEdltMiYFweDHliySUoEYBxBGO0Mg6Q8MFZpEBkEQpxz7G4ItSfGURktMiyJwLywMEuJwLMltKrTznCrcthdVmkQGQRCnHbsbgi1J8ZRGS0y5qcEQA9+10ZgSgTG8JAP0s4wmd6nAqs0iAwCIS45djeE2hPjqIwWmb+5p0pZfXswkqREYAwP+SDtDJPpfSqwSoPIIBDikmN3Q6g9MY7KaJGxjOoxF8x3D9OlARZFGEU7wzAtB5BVGkQGgRDXHLsbQu2JcVRGi4z5cSHQg9HTCCwcGRgxWZkuLKDGYZqnjar4ThQjuByJ7KEk5QCrNIgMAil5pq1jdzNRMh1zVEaLjPlxIcyTq/G1JKqLp0SARdOOop1hOx8jglUaRAaBEA8duxtC7YlxVEaLjGWeD3LBxlE4khIBFEwARDvDACEfhFUaRAaBEAcduxtC7YlxVEaLjPm5QcyD7dGMS4nAHB/qUdoZprJ74VmlQWQQCPHJsbsh1J4YR2W0yBy3nipF9fmfmSMlAnN8qEdpZ5jK7oVnlQaRQSDEJ8fuhlB7YhyV0SJz2HmqFNUtc4XproF/iBsMtDPcqBp6h1UaRAaBELcduxtC7YlxU0Z8wcDOvAQAceHP+OZSwVA4kuYIkGAiGLa2jxijYVilQWQQCHHCrbshzL4YN2XERLD58ZWZ7WyDipQIvGPcIGBr+w1Wlh1WaRAZBEJ8c+tuCLMvxk0Z8QUDq5OvzGxmmSJIIwLvEDcJ2Np+k5Zjj1UaRAaBENfcuhvC7ItxU0ZMBAvjK0UQFx7W158WjqRLAySaCIat7SPGaBhWaRAZBEKccOtuCLMvxk2Z5ZHgtqjZtV1C3f81vsFYsqVEQI2pGc/W9s1mXI6ySoPIIBDiilt3Q5h9MW7KiM8Vm98thLiwts4ypESAxBHHsLV93CSKZJUGkUEgRL5bd0OYfTFuyojPFdtu/dmdGBtfUybrp0RgjyIFwdb2KUYxLKs0iAwCIeLduhvC7ItxU0Z7rph4j6HDJevNw5QIOqLmVcTW9r1UdFZmlQaRQaBOra1Ct+7WIgmy66aM9lwx8UKiw0/zTxrkFQpH0mRhR/ScitjavpN1YyVWaRAZBDJqLg+6dTeE2Rfjpuxsnbur66KljXpN9XlyU5+025QItKFxOsDW9p2sGyuxSoPIIJBRc3nQrbshzL4YN2W2RwGbqmjoZt1872JbVihQKRF0BM6jiK3te2jQVGWVBpFBII3aRrFbd2tQBNpxU0Z7isj7UYP10e59SgT2GFEQbG2fYhTDskqDyCAQIt6tuyHMvhg3ZXtSNdsTxDYfnqOHDZJGBPYI0RBsbZ9mFkGzSoPIIBAindRvEEI2jJsyWtf2XWH8uwTcLRxJk4VAqCAIW9uHrJFArNIgMgiE+ODW3RBmX4ybMtpTRL4LC5fGXz8tI5ASgW9TaNZna/tNWo49VmkQGQRCXHPrbgizL8ZNGe073nM90QOqnxKBb1No1mdr+01ajj1WaRAZBEJcc+tuCLMvxk2Z7XVBDVXEBxMadeXOfvNW1FGQEkFHUDyK2Nq+hwZNVVZpEBkE0qhtFLt1twZFoB03ZaSHB84LP+3AIgJhICUCvyi3a7O1/Tax/z6rNIgMAiGOuXU3hNkX46aMFBjavcY3h6CpwpQI3uLmWUA6xZ62iNVZpUFkEAjxwq27Icy+GCdltNcRbI5eImdnqHrhSLprAAULALG1fcAWEcIqDSKDQIgXTt0NIfbGOCmjPXxo+a0yiwsXyw+bqOopEahI8GzZ2j6PnDoLqzSIDALVJeo+O3U3HRlruZMy2k+YQZP+WqdW1jcRFFVTItCG0OkAW9t3sm6sxCoNIoNARs3lQafuhhB7Y5yUka76acOHtkP3sfknDyt8SgRVKFg+sLV9FjUNElZpEBkEamjU7Dh1Nw0Xb7GTMtJV/xG6+6fzarvTHWmVp0TQCojnLlvb99TRUZ1VGkQGgTqUvhU5dbc3lhAFTspILyO1v2XM4Nd9DDxmkNdPicAQRodDbG3fwbalCqs0iAwCWVTnh526G0LsjXFSRlpGMPV5c+kG1pcSgXdbaBCwtf0GK8sOqzSIDAIhvsHNGSFjxbgoI716jHarseXbDZ0hSOsIWpHz3mVr+95K3ghYpUFkEOhNZ0eBS3froAlQ5KKM9MZC+4vIDV6t8d9KKxxJ6wgM0SQdYmv7JKsQmFUaRAaBEO0u3Q3h9ce4KCPdNPCZIiAMCNISY/+20GBga/sNVpYdVmkQGQRCfHPpbgivP8ZF2Rp5LFhJs7+IXCHft6vje5mupHAkjQh08aGWs7V9qmE7nlUaRAaB7MLVBSyCjI1xSQRT+6tEKzeAF5FX2PaH6wRcQyArpkTQDp/fPlvb95PRVZtVGkQGgbqktstculubI8y+gzLSXOEeXQfQ4d4cXFSYV02JoCOCHkVsbd9Dg6YqqzSIDAJp1DaKHbpbo364HQdlpMeKp7ZfMda79jvXH3s/khLBe0x8Stjavo+I7rqs0iAyCNQttlnq0N2aBMH2HJRt8an87Ao+MtTh33NCyiEpEXTE0KOIre17aNBUZZUGkUEgjdpGsUN3a9QPt+OgjLJCaOvAXzq7oy1NTomAt5GwtX1eWZKNVRpEBoEQR927A8Lug6Eru48J9saEecUm7Q1eXFzUS4mgGT/fPba27yvkvT6rNIgMAr0LfS+hd7d3jjAldGU/a1zJmXSZ3+BdHBu71p2UCKwhIgHY2j7JKgRmlQaRQSBEO727IawcGLqyFWEVAfoygXdPTsCvnDVqpUTQCIf3Dlvb91byRsAqDSKDQG86Owro3a2DJEgRWdmT8J4R+GUCb649J5e3MnNBSgTm+FCPsrV9qmE7nlUaRAaB7MLVahcEGRtDTgQ/hB9C3m1d3VmTa6ZE4Brr7npsbb+b3qeUVRpEBoEQl8jdDSFlwZCVLU6w3afz8uLzlLCmsNCTEgF8XiAgW9uHrJFArNIgMgiE+EDubggpC4aqjPJU8ZEwrdhwhn5hoAZd6VmDRiA9dtjavocGTVVWaRAZBNKobRSffF7O0WBi3rlTVvFK2wfC3f2Jq9f0C4OUCJgbBu/Nel5xbN1SyoLIIBDi5JOwGA/hY8P83IlUhM796/oLRw4XBikREM+jFc7W9q2WyABWaRAZBIL88Hj0BuJ3BVF1nQgLA2hLhF8eENcWlxXTHMErghyf+No+h5oGB6s0iAwCNTTqdm7HziO3i/PKu04+auGVsCYg5yZMFR4Itxcaulfbxi64kxIBGCgQxtf2QYM4jFUaRAaBMAf272Pw5248HA7He/IEOWYRQW0RUA1zndR2zB8frquLj9SlRIWOlAjM54N6lLHtU03b8KzSIDIIZJNdHt+2+/t9PFwez8fl0PkmG2hZD/shPd8neAjvENxu9XZNR66O4UiJwBRV+jHOtk+3bqzBKg0ig0BGza+Dj1YmeI6Hq6f8Ww0pL+J5Efp/uhyJHIR3COI/SNDU8Jzi6xQaNVMiaITDe4ez7XuLaRKwSoPIIFBTpH7vsW38VsduuBpuRB7YiG3RiPVVwxw5H6m8hHcILh3vk6wJtycb8lMiaITDe4e17XuraRCwSoPIIFBDo3Fnf6wdHi9FDtiI/7fPJeXB3hqF18fnnvzVS5gh+HW70M9+HOul24dejaGjMnPb77DgXMQqDSKDQAR/bruDWmNzG/7I0cBM5IHnzzD6vYO//b4xPoGcWMKrjx5j5SdEXIGurjOMKRFUMWT6wN32mWRJGlZpEBkEInn4PO2Lv83wJK4LZsOZ+Pc03JSl0Tbk0YDw8oK/dmxNXZ9QBPExod7OfAU/XRq8YsHxib/tc6jKOVilQWQQyM2/akQg5gk+MCJwET09o7WclgYK8oVb/shlpUSAnh0MF7DtYwL0KFZpEBkE0gs2HsnnCLb5PMHqE3MERnFdB/fwAiGXZ4akxe2yyy5YlhIBGCgQFrLtgxJ0MFZpEBkE0sm1lO/F3QIxPyAywafuGlgEtg7f8fv7bksDsx/6s8c1jSkR1ILB8DFk2/eUxyoNIoNAjl49Jx9fR0BSjt8PdFwa+Oc+USgdSYmAdDqt4JBt32rcDGCVBpFBILNo/dG7yATH849YT/S++lhf61NH8PuBjjP/9zH15WTNUKRE0IyH717Qtu8njlUaRAaBnJ26jT7+rAGs/Q7fD3RcGvicHWExncCUCDrD4lwYtu07y5IVWaVBZBDI2SexGv/TTx/C2hfwQkHHpYGLLaylG5gSQXdcXEvDtn1XVXk9VmkQGQRy9emh/QWPw9GVM1S9A/yOEccJgjV8S0LnYkoEusi4lQdt+26SVC1WaRAZBFLysO26aLACrH88b+ndKzAtMAp/IvCC31uoW98R3ndSr1f7nBJBLRgMHwO0fQZVOQWrNIgMAtHcm6sXeuoHBFnfEgF+2X8bUx9szqN39LpxWJyAlAhoDdGGDtD2bSbR46zSIDIIhMm/LifT1T07DEeLxf0idmb5Y3b7yfQnvxI4zScL2YlkQd8SwXKL+Zg9pk5LhE8c901SIgBPEghjbPugRRjGKg0ig0CY/u/1+bS9ZX+T+e/vc78//wzlyv3t9/E0H4orgePX/rz9umb7r8NpJgt69LeHJwjclghf4DsSpqCkRGCKDv0YY9unGzfXYJUGkUEgs+jy6G1wLz6pS4PtZiAe0Ps6ZtnzW/T7bzkrv1rm2+dXrxLBaYI+p+g24/fnuYCgjHBKBGUgmDZ8bZ9J0IuGVRpEBoFeAk2fxqNN/sxOngge2+lwPDhl14F8/ni+Eh/W2+12Nr7lBbM+JYIb/H29n7XfxmYKiDp25ckDaWWhCijTlrHtMymqaFilQWQQqNJn/PA8Lr5GotvniWAyX66vg99XIvgbbHbi73DNBw6LHiUC/LL/OEVHDvVAXcfwM431au+f04jgPSY+JYxt30dGV11WaRAZBOqS2ln2HIv5QZkI7oPL+HETieAp/hcLpVbZI/8gLhPEMCHLRj1KBHP0yeBfpxm/28TlzQhd4U2JoCsq7mW8bd9dR0dNVmkQGQTqUPpedBffe4+RaKzr6eP5HCy2z5ns+6vR5b6WUwLLkZgxuJ6zhbggPwz6kwhW6m7nu0vNkpPTI0M3jzeRNO2nS4NWPHx3+dq+r5K3+qzSIDII9Kazq+D6PRgOFuIa+jb9Glx338Ov/ZdIBM/l1/dmIQYKz9Xg++v7mN0ng+9Zfy4NtugNA7eZ//sEfvlZV1AbZWlE0AiH9w5f2/eW0iZglQaRQaC2TM3+/fq6hN5urrV5tVG+jv95vec1b9HfX6gRLIoP6PTfn9NCohtjHkgjAv1pdDrC2fadBOgrsUqDyCCQXrDuyGtR4d/x+rf8riUFXZWPlP+iNw7dZvxY80BKBMxNJFDb51DJKg0ig0B0115PGVxno9GiR0OAhi+nCajsb+wy43flmx+QstOlQePkee8EavveugQBqzSIDAKRXXsNCMhVY1Y4oQsI3PKAWy19AFIi0MfG5UiYtu+i5K0OqzSIDAK96bQVvAYENuQnj59D5wGm9QMqRikRqEjwbMO0fRZtrNIgMghE9e3fGBBc0Ok/t2/2C9N6wlfwUyJ4xYLjU5C2zyHsP3Np8E8MCOA8cHFaGXhC0wzeclIiwGOFIFMiqEUpRDD+iQEBnAfOTt/sx4lYPsX8lxIBb0BDtH0mhazSIDIIRPTuXxgQwF/Yv07f7LtpsWSCGDkzPCUCc3yoR0O0faoGDZ5VGkQGgTRqNcX/woDgB/3C3qM3GBvBWM9fS6saB7x2UiLwCt9b5QBt/82GYwGrNIgMAtG8+QcGBLsptn7guXTp0c/lMsgCqpQIaA3Rhg7Q9m0m0eOs0iAyCITKz3H9HxA8l/KRCODvOt0CqDbkMd+0i3j2UyLgiaNi4W/7itl7yyoNIoNAJL96PyCAu/fBcTlh0WFJQYPAKRFAYYJB/G0fNm0DskqDyCCQTXb9eO8HBGj3/pstXSb8zmOnt5vWQ6j7nBKBLjJu5ext301GVy1WaRAZBOqSqivr+YDgtphD3fu+cXtO4Dhxetu5LpqN8pQIGuHw3mFv+96KKgJWaRAZBKr02T/0fECwHx/tPohXKmxGO2waocW2nUFpplUL3E2JAAwUCONu+6BZBMYqDSKDQIj0EtPrAcHvRPzugv3vbzXaOt3+C3W7oJScEoH93FEQ3G2fYtuCZZUGkUEgi+ra4T4PCH6n+e+r1NR2ffzbTScHpzQgXs207WJkK0uJgC2UORFz2+cUxyoNIoNAuIu9HRDcD5PFxebH7bSdTHeuF/mncNOEhfCUCGwnkHacue3TjJvRrNIgMghkFl072tMBwf04H21Ma//vf6fjdjGarA7YQqOay9XHPbpYsapB/ZASATViZjxv2zfbIh5llQaRQSDYix4OCB7n/Xy0+s2n/h7Xy+9hv9+v5d+i+JtOJsPhZL7aHi5uFwRFcMQiJZ/qUIRTIoDCBIN42z5sFgGySoPIIBAiXWL6NSC4i16/moyWe/F+kOf5uJ6NxrPFerc//Iq/S/73dxd/TrcHWiEJPT2Qm0uJoBV1z13Wtu+ppVWdVRpEBoFaKrW7HxkQPG6Xy+n390d808u/jfiyXy4W4nt+Inr9rxzq/4kxwWL788fR47t9/w09PZCbTYmgO/qupaxt31VEdz1WaRAZBOoW+1Yad0BwPx+3y+l4OJ4uFqv1elPkgf2P+Lo/Xy53dZ/wsh7NdtZpwjdfSAWbqWkCgkRlAqdEYIoO/Rhn26dbN9ZglQaRQSCj5tfBaAOC53m/HE8Wm+Op9ksKLx2vT8/DZHoMfe1+m63CjTVevqS3GNdjwfGZs+1z6KlxsEqDyCBQTaHhY6QBwe0gBvq7E9C9H9vRKvBYQITjhC1WNAQOPZRGBGikMBxj28cM4ihWaRAZBMIciDEgkMt9tljnfu7GW3V9gDnghNoGv2tYyUqJoAoFywfGts+ip0bCKg0ig0A1hfqP4QcEz5/ZdI9ejf9ONhHSQLTLAhn3lAj0rc/lCF/bd7FurMMqDSKDQEbN6mDoAcFtO8YH+vfF3HWBoPIH2f6M+X7i1G4vJQJ7jCgIvrZPsQphWaVBZBAI0R54QHBbTfb4N/xPlOv252rmvhARiWkLkxJBKyCeu2xt31NHR3VWaRAZBOpQ+lYUdEBwX1N+VThSB/2bbN+iELQgJQLe8LK1fV5Zko1VGkQGgQBHQw4IHhtKGsjgV5EBbhkge6ffPTEQWg+lRGANEQnA1fZJRjEwqzSIDAIB4gMOCA7jPeU+fcB3hdXicJstgRuYtQoMH1MiYAhijYKr7dcouT6ySoPIIJDdvXADAuqrA91+kMTuYRNxjDpLWNpOiaB5Enz3mNq+r4yu+qzSIDII1CW1WRZqQPDcElfxH51+kKTpjHVP3JPAJy6tbDAgJQI4VBCQqe1DtoggVmkQGQSyehFqQHCabChXBVkW5KfG2u7/jA/toij7KRHwhpmn7fNqKtlYpUFkEMjqa5gBwXM9xRYRVvq2Lj9MVNXGPtyXM3RRE0YIo1IigEMFAXnaPmSKCmKVBpFBIJsbYQYE9Ntz+xlt/GDzq+v4p4YDQktKBF0nxL2Mpe27mzfVZJUGkUEgk2R5LMiAgH577mcafCJfzA5EXUPUiHxKBI1weO+wtH1vFZ0ErNIgMgjUqfVVGGJAcF8sqPNx53HwPnr80OxAEeuUCF5tjuMTR9vn0NHBwSoNIoNAHUrrRQEGBGd6j/sbh750v80/OBwQAU+JoN7q/D9ztH1/FZ0MrNIgMgjUqbUqDDAg2NN/OOw5OVWKwnzYfWLtQN2VlAjq0fD/zND2/UV0M7BKg8ggULdYVco+IHiuHCb/V1ulJ8z2Ml0Fn4GwKE+JwBIg4mGGtk+0CMNZpUFkEMion31AcJ9tjAY7Dx7nncVchY/1RLwL+cN/KRHwngD/ts+rp8bGKg0ig0A1he8fuQcEF5dHiK9j6tTiuyOGkp+x22+iGigdDqVE4BA0QxX/tm8g9zvEKg0iQ0B709s3TAOC94qHoy1Av2PiIqKccIZPELyLskm6zueh5yFtEvLjKRFAYYJBSNuHyXiBrNIgMgS0FEP1ddEK3901DQhkxebfctXcf9s7OD0rcFi+EWkL3kVpofkB8biDKRGaK7MeTYmANZy8D/33WBrSx+FgzNfdnpoGBB01bIlgO3MZ4t8DXhj8jrfhlyt2RKqjKCWCjqB4FEEdxIPfoyqrNIgMAe2P2WE4ylf4nOYT+dviu5/DdHrK9pOZcbJeVBTQ43QqtuI2+GT6kyeCguSxlD9FtpRj+pL1uhwNl4ZEUMKkdfFzBaLedTmZrkSFyWj6o7vouAjMRs73H2fjpVxxJEXBf389uSrIBadEAJ83CDiEUB8BsUqDyBCQGA38Tea/4odEj1/78/brms2Gy9NmsFqdVt+mq2c5jJDQ3UD0+f3X4TQbiksDRbIbPrLlRMRZFXyP56etfnWgggnKxWk/EOP17/VZVlh+H05zydz1t9+fT9Nplh2+9qf5t8gIurFNR2Vxr+C3o/hTRSkR8EYeafu8FmE2VmkQGQKSXafoPt/y+dvVMpvJ/jsU3Wv7bbp+zhOBhM4Eg6z7/BLdVZFks9nhS/b7suD6renLAiL/XvVGYm8zzm6Duyx/foupiKep8mNwzb5lNxpulSeyou3v0It7BS+VKRG8YsHxCWn7HHYcOFilQWQIqEoE18F6u93OxnnHzqYb8fPH46J1dvuaJwKRA7L1QvRa2ednq6wiyR7DgfzCVQWL0WgjRg66PwXLSbLsPHhm47zC4VsyzzVZ5CH0jgenm8gFIoeJ1QZFStNZeZWfpvmVxKvg459SIuA9BUjb57UIs7FKg8gQUJUI/gabnfg7ZPmSn+lWPHZoTwTyzsF6Lrq7/PperLKKRCYC2fHLAvEOkuPia6S9NHjVk+OL7DJ4ZEWFSZ5idIlgMj9fr4Pfaw5az9BEcF3MXG5jCmHh/lIi4I0t0vZ5LcJsrNIgMgRUJYJH/g0uvCkTgbhlACeC50BOC45WWUUiLg22YpqgKHjO81uNz3G+6QpYvZ44fvzKQc/xfJmr0swR3GUCuA1+C/NTMWxARgT3dV9uGdYjkRJBPRr+n5G272/FiYFVGkSGgGTXWU8fzyxbjsQA+3pWiUCsIYATQbaYPLLDQPRERSInC6dyZbAoeC5W57sYHjxGRWvvip6ql81Ez7+PNllRYfy3Gl3uazn70PH3HByyp6ywFLcYfwbijoc9ETz3tPcmd5gNUpQSAW9YkbbPaxFmY5UGkSEg2XVu0y9xlf1cDb6/vo9lItiMH4REcJ8Mvmfi0kCRXOR1wV3O4UnW7+/j9XswHCxEutH8KeNiomHyPRAvI8oriFTyXH59bxaaocRhMPzaf/1mj6mQLruSNREcx+u7RsJni1Mi4I0/0vZ5LcJsrNIgMghU0/+8vjqJaVFhrUr18aau/+sk+dHVIj90v4orBcNfWU9cmJRUosJCXnGIv5HuhaLPa5lb7upDUUHz7+90abojqqkVpTglAt4wU9s+r3UjG6s0iAwCdWsmLirsJslLtwvDwfdD9acTr+Lu5N/x+rf81g8l3hm0JZfZvHdzhJXYlAiqULB88Gj7LPYNJKzSIDII1K2YOiDoZhGl1HeOLnYvqq0YCFxno1ExpHiVO336W4jlkv39S4mA99x4tH1eIe9srNIgMgj0JlSO4BkGBMUY/FfMIjr8FZUYnzIQC5ZNq6McJDJXSYmAN6BubZ9Xg4aNVRpEBoHe1MqvZIYBQT6/d3F85+hdTgqcaBcVb468Cm4rl/cgvOpH+JQSAW+Q3do+rwYNG6s0iAwCvakdPTgGBJlcKnxzev+AVDQS05bL/FmAv9cE5ptUrOC2Hh9YJhkwc26olAjc4qar5db2dWys5azSIDII1PbxPjyqAYHTqL7k+xv+ibt6zsPx8VwsOxC99772nd/7J9KAmEvJ4zZon43WfoFqFRp3ndqAkbHjYBQjHXYNRT2UpNSySoPIIJCSp7Z/w2k+Q/A4en2N7oc/WX3iT9GD29nw/LsSlyhOQ4raGOIfSQMpEYDtAoY5tX2Y3QvIKg0ig0Btn06jsXgPwd+K+EvFbZr5cLNbtgvx/eVwvPw9jkYu44Fz9XjxdfUPXBQUQUkjArxxIEinto8Q+2NYpUFkEKjt2HE0Ge4mQ8dZvoptNJxMPS7Mt8PRcDwcuuSB67i0K5KZ16Cm8iXGh5QIeKPs1PZ5JejYWKVBZBCoLXc7lH+G1cDtCp3795xF/LN1m2g4iiwwdBoP3MfFQOSymBw7pfWzMCUC3vPi1PZ5JejYWKVBZBCoLXclu7BuSW8brN3/lSyjkWMaELcORSJwygOPyVBeGZxm0+oCQSuyTwdSIuA9G05tn1eCjo1VGkQGgdpy56IHiuf4PP9kOnFPA2JlseN1gXjVmbjZ8DOd93kVYVdsUyLoiop7mVPbdzdHqckqDSKDQG0XxkOfa3vFNhkO87eKqn3qVlxaGF5opGdbjibL/Xjpn8n0JsIcSYmAN65ObZ9Xgo6NVRpEBoEacm+Xm3gXgN+f4BALgrzSQHa7jChf6blJqXo7Gk5Hm/xpRz8notdOiYA35PS2z2vfwMYqDSKDQC/Fz52cofN7b0fJsfPpi0QdNfhxJByQr2T/9/5SIuA9Z8S2z2vczMYqDSKDQJXo+3S4PJ6Py+G0tiCnOop9+ABHzeRZ5gHxNz643arAfAyDSomAN660ts9r28LGKg0ig0BK9XM6Pj/l33nsPEnwAY6ayUmZB2QuWP9rw4KUCFRD5NmS2j6PSZSFVRpEBoGU/N2wyAMiEwyLVqmO4NsPcHCYxB0Mh0yJgDe2pLbPa9rGxioNIoNASvZ4mY8H5D/LsSokbj/AwWGS6GUQeEoEvGEltX1e0zY2VmkQGQQqZd+GP1Ui+Bm6zfV9gIPDpO3ERTmeEgFvmCltn9eylY1VGkQGgaTu+89uPTxVieA0XMvfOiH/fYCjZfLoPs9pPX9hASkR8MYXbvu8ZhE2VmkQGQQSvyu0PVyf18aI4FolBcqHD3C0TN6O239rZXHVcFIiqELB8gFs+yy2iCSs0iAyCPTc/srO/mhcbD8o/b/CfoDj3eTf5l+7YZC3o5QIiN3JAofavoUj0GFWaRAZArpv7kVHrk+/76q+TfvwAY4Ok8djoDMYkjYlAt7oIm2f1yLMxioNIgNAz4368r/X1hGUuYGWBQT6AxxdJs/eD0/CJ5UNmBIBWyhzIqDt8xrE2VilQWQAaPvq89dqZaHbDIFMGx/g6DJ5+vcmClIiwHsSggTaPkITAsMqDSKzgy75/ED5zX8vnjXYTv7KAodNybF75Rc6CZGjC77759YYp0TA2+fsbZ/XHoGNVRpEZgdtW930ehajgR/x48gef9eRMZHsjnbuy1TqgP/e4feiXxHOzqehKRHwngF72+e1R2BjlQaRWUGPQ2dnW687i9HCyc2EXADkRwBTs9EBT4mgbJnWNkBowVpoFCNa650HeihJ6WSVBpFZQT/d37vi9whq3Yz8cWocESB0m+4EpavaAb9QXmegztAnt2lEwBt9a9vnNUdhY5UGkVlBe03X+hsbv9Q1tVTxvHh6aXvcT6a/z91kJtcsnpeTyVrOHOwOz+3xMJma+nrJoAht2y74vzYkSImA0pfsWGvbt1OEQrBKg8isIF0ieO4Xts5nOL4sFiuLmxC/68Fy+bv6Emlltzv9TKei1nz1nA4XP9vBa0lzm+sxIs01dsJTIijasbUNcDT3KEZoQnsoSTnAKg0is4K0C4cec2BKr91/1f6quLCYTkSBeAHi8/Fdkt0G4qJBJgJ5ZLZS+Lftn0wY+F8nPCWClAhUz+vZ1totKXohMitImwie13H39AHSPctL9qmc8ZtsxD9jYee2mY7HA3G3UiYCeWQ1F/90//3oc0RXhU54SgQpEVA6VESstVtStEBkVpA+ETwP7hcHu+KKY7oRvXYqb1DKRDCZ/V7+BmKsIBOBPGJIBFvtJYuo9/7XCU+JICUCSoeKiLV2S4oWiMwKMiSCx8z54mBfrE5oJIL8qgBNBAv99MF7Gng+O+EpEaREQOlQEbHWbknRApFZQYZE8LyMSTN2tR5a3tZvJILHYP+8z8ARwYh2z6ITnhJBSgSUDhURa+2WFC0QmRVkSgTPdXvZYa2vGz+W1+yNRPDcD76/dl/QpcFVziXif93wlAhSIqB0qIhYa7ekaIHIrCBjIri5zheeOqcX7hd0hPG7xLOAQHbDUyJIiYDSoSJird2SogUis4KMieC5p3XIqvee9fcDKozpw84sq121G54SQUoElA4VEWvtlhQtEJkVZO5xjylt0k710M77+uogsF3UH4m047vhKRGkREDpUBGx1m5J0QKRWUGrvfFvNTEe1h3cjnRHsPLRFsOVqG74ihLNHmCLxDWwKKGnN2sbsFiEDkcxAimpQD2UpLSxSoPIrCBbu5o4vf7vOVIuO20ftF9V0MBtrjlJC1gpJQLe4FrbPq85ChurNIjMCrL1lqPb96rVrjFs56XxcPugBm5zrU3z6f2UCHjPgF8b5NXSYmOVBpFZQbbe8hw7/dLJ2Ov9QPtdK3DmXQ3c5pqZNP7RlAh4Y25t+7zmKGys0iAyK8jaW/YbiocKO/H6mZEV7VUCGrjVNSW2J9uUCHhPhLXt85qjsLFKg8isIGtveYyeFBdL7OzqUKmqMqGNQjRwq2uVvX58SImA9zxY2z6vOQobqzSIzAqy95bVD8XFEru4OFRSVR60qUYd3O6aMtiPbUoEvOfB2vZ5zVHYWKVBZFaQvbecFhQXS6xmtI4xXWgWdXC7a5icWKiUCHgjbW37vOYobKzSIDIrCOgtLhN/a5+fFThsKUHNdHDANZKd0OCUCHgjbG37vOYobKzSIDIrCOgt6yPFxwK7dahTWVnRsogODrhWmezDh5QIeM+Cte3zmqOwsUqDyKwgoLdc5hQfC+we4NWyTmlzhTq4jwSttoAHUiLgDa617fOao7CxSoPIrCCktzgsJThuKXFpYonLErVwxLWm5c/upUTAG39r2+c1R2FjlQaRWUFIb9nSf1H0x2n1QRFL4ghEC0dco5y90NiUCHgjbG37vOYobKzSIDIrCOkt2q6m9/3ktjI5JySOJrRwxDW9B/GPpETAG3Nr2+c1R2FjlQaRWUFQb6GvKdLd0kOitaYtXNDCIdcQQZEwKRHwBtra9nnNUdhYpUFkVhDUW5a0Jb8iJH8OE4wqksRViVo45Joy2oNtSgS8J8Ha9nnNUdhYpUFkVhDUW45ripcSe5tSa1R47eRfhWh80MMh1xpcn91JiYA3/ta2z2uOwsYqDSKzgqDecqe9H0CERPOKACRYfzMEVWH0cMi1iufzH1Ii4D0H1rbPa47CxioNIrOCsN4yJT9DZDWsjRvxhoMejrmm1RH9QEoEvCF3b4K8OjrYWKVBZFYQ1lvoNxCthjvCUxRtaHOFejjmmlZH9AMpEfCG3L0J8uroYGOVBpFZQVhvOdFeGSRcd3lAoYjYjPZyND0cc63jNH2oKCUC3sBb2z6vOQobqzSIzArCegv9kl+37tceLuK9Sj0cc80uKBYiJQLeSFvbPq85ChurNIjMCgJ7i+bdH3rn57Tv9RfRlTZXaICDrr1Mf/hTSgS8J8Da9nnNUdhYpUFkVhDYW7SrdnTuO7+Z5Id2q9IAB13TeRC9PCUC3pBb2z6vOQobqzSIzAoCe4t+bl7jv/ObSYgPMBvgoGsaB+IXp0TAG3Nr2+c1R2FjlQaRWUFgb7lSFwjpJ/MtASNeUxjgoGsWPfEOp0TAG2tr2+c1R2FjlQaRWUFob9HPyXUHYEd/YrEgIhoywFHXuh2IX5oSAW/MrW2f1xyFjVUaRGYFob1Ff5euOwCubyYhrk02wVHXuh2IX5oSAW/MrW2f1xyFjVUaRGYFob2FOtTXPhxsidcvba7QBEddsyiKdjglAt5QW9s+rzkKG6s0iMwKQnsLtWObeqgpZMQ1jCY46ppJTsxjKRHwRtva9nnNUdhYpUFkVhDaW6gvGHB9MwnxtqMJjrpGOYMhsSkR8EbX2vZ5zVHYWKVBZFYQ2lt0vyKic5+aOBTPiPajiSY46poy/eltSgS8Z8Da9nnNUdhYpUFkVhDcW8a0XzM0rPgzRew2MR19O2aEw6690X6mICUC3rhb2z6vOQobqzSIzAoy9pZ97UFAww37PAR1rCi4T7LDkRKbAku8ohDwlt2aSaNrNVxfPqZEwHsmrG2f1xyFjVUaRGYFGXvLUryLeF0ibL9dJLG1P/GY0tLhBaY7o54af/FRwFt2axAaVa3ihz4WegcW63SvrG3AYhE6HMUIpKQC9VCS0sYqDSKzgqztal7ez6MuDBg6JYLFWcUK2hrhVtcgE/FAKRHwxtra9nnNUdhYpUFkVpCxt+yP2WE4WizE9MBpOlqIBwp3P4fp9JTtJ7N2jxVYcfQ4nYptJgDDYz4iOM0not5jKeDP1jtQi0M55ySvdV1Ohkthaz+Z/uiuKy7LyXQjJxSPs/HyJt56IO12/xld667y0dKUCHjDb237vOYobKzSIDIryNhbxGjgbzL//X1mx6/1dPt1zWbD5WkzWK1O66/W9L4cOciju4Ho8/uvw3g6FJcGx6/9WdbbDR/ZsjkRqA6JWovTfiCmI77Xv6PtLdt+H09zWbnrb78/n6bTLDt87U/zb/EuRTVieQcbXXuHf7wkJQLeU2Bt+7zmKGys0iAyK8jYW2QnKzra90Fc9K+W2Ux25qHoiNl3bSJRxiBPBPLoTFT6PmTTvy/Rl8WHTNbLZrPDV/MnDV+HRgKzGWe3wf0s34T0dRSjh29NIhDHs8fgmn1L4UNhLyUCGRLTn7UNmCqjx6IYQcUUuB5KUg6wSoPIrCAsEVwH6+1wOxvnvTybynnBcatmnghEDsjWC9Glb9n8b7bKZL2trJc9hoPmbxy/Dglclp0Hz2w8kh+vorLo35pE8BBs48HpJnJBlk1TIhBRsP1Z24CNADkexQgi5IXpoSQljlUaRGYFtbqzUlpsZefOv3H/BpvdaCueKJzJHDDdin86E4E8up6LvnzPlufFKpP1xJ8YFohEIC4Zan+vQ3IIkV0Gj+x5HH+PbuZEMJmfr9fBbwGapERQi6juo7UN6CpSyqMYoQgS40UaPCaaVRpEZgVhieAhvs7zhQRYIngOTpm43l+JQbwaBsxmWzFNUPurHxLFxy95bHIdb555Hc0cwV0OF26DX2lBnGpxJZEuDWTgTH/WNmCqjB6LYgQVU+B6KEk5wCoNIrOCrIlgPX08s2w5uq5O1zM4IsgWk8dmNRCje1FPDPbP+WThtPkzaOpQNhM9/z7aZPfzY/QY7bPV6HJfywmGjr/n4JA9ZYWlWOl4/Bb3MVIi6AhTo8jaBhpox50oRmjaeihJOcAqDSKzgqyJ4Db9Etfjz9Xg+/v7iCaC+2TwPRaXBnm9r+/jRV4X3PMJPhULdUjMI64m34PZM7t+fw0Hi6e4zfj1vVnIq4yOv8Ng+LX/+s0e08H3l7gySImgI0jNImsbaMLd9qIYoUnroSTlAKs0iMwKMiYCpVtun5ttfdf2+bbbFZDn9a7DlofE5cZNzg+KFQXr6uphpHvD0fMqBijy737dlyaK/bd/Ydfean6moNCbVhZyRd/a9rkM0XlYpUFkVhDeW4hvJMDh+bxDHsxVPqPwd7z+Lb/L7m4KcgHXInDXtBRRD6REwBtua9vnNUdhY5UGkVlBeG8hvmoEhy+qL/biV1Gus9FoUQwRzMG1/IgK7prZTKyjKRHwRtra9nnNUdhYpUFkVhDeW/LFPhnwRS2m9UVQCjjSn/MIyusH/S+cvwUZgeOuvdF/pCAlAt6wW9s+rzkKG6s0iMwKgnrLU3b/Pznpf5F37ax/x4uCH63YEvAnrgou0kJuy1oLgUOuWS3FA6REwBtra9vnNUdhY5UGkVlBWG/ZiW92+cLgyxgaETzGl0y+meRC+CnU0S2T0wq36jrBHFgAjrlmNhPzaEoEvNG2tn1ecxQ2VmkQmRWE9Zb7+CBfNXIZNZcCaH2XSwEEfCjXDIJ/4+lT/K7aL/oiJACOuQbKiwBLiYA3yNa2z2uOwsYqDSKzgsDechguH6PLeNh60kjn/G04Oo8uoyE8RZBli+F69rcebnSUrXIADrrWIv7cbkoEvLG3tn1ecxQ2VmkQmRWE9pbpcDIUTxZDVwYiJPPhSPxH+WHjozAwHY7RcAJw1DXUZGhcSgS8Eba2fV5zFDZWaRCZFYT2lj/RsefDBeqtGA2MRsPmY0bmundZYShmGbE/AI66hhkMj0qJgDfG1rbPa47CxioNIrOC4N6yHg6HI/UIkd3pqYDDX+85nUgDmieNOq3Z4bBrnfzxC1Mi4I25te3zmqOwsUqDyKwguLc8Rc8z/OJoOww/4+EQ5s4rz0j84r1GNjk0820H4u+nRMAbc2vb5zVHYWOVBpFZQXhvOQ7lU7/wn0gEMDYHbikDjiyzw3HXaEJDoVMi4I0ssf3xGjezsUqDyKwgQm+ZDPErA/HaQlLaEHG7DMF7k0WM7XCCa+bTFuloSgS8gba2fV5zFDZWaRCZFUToLSf5bgH47zH6Jdw8FCuJLiPtY4odRgE4wbUOA/GLUiLgjbm17fOao7CxSoPIrCC0tzx3Yqw/HO/B+4d9gKOuUc5gSGxKBLzRtbZ9XnMUNlZpEJkVBPaW+3S4PJ6Py+EU+truBRx0jXICg2JTIuANr7Xt85qjsLFKg8isIKy3PKfj81P+ncXSXrvH/YBjrtm9iYVIiYA30ta2z2uOwsYqDSKzgrDeshsWeUBkAuSmYD/gmGuU8xcWmxIBb3ytbZ/XHIWNVRpEZgVhvWW8zMcD8p8lsEyoH3DMNcr5C4tNiYA3vta2z2uOwsYqDSKzgqDechv+VIngx/4kUU/gkGuU0xcYmxIBb4CtbZ/XHIWNVRpEZgXZe8v9Z7cenqpEcBqu5W+WmP6iwo/a2Uu7a5RzFx6bEgFvjK1tn9cchY1VGkRmBdl6y2V7uD6vjRHBtUoKmg9R4bfjVrPOyeYa5czFwKZEwBtla9vnNUdhY5UGkVlB5t7y3P7Kzv5oXPQ/NP2/Ko4N/9v8dZ0Fs2tdNT5blhIBb/ytbZ/XHIWNVRpEZgUZe8t9cy96d/02wK7q8NoP0eHHY8dpMLrWgf90UUoEvGfA2vZ5zVHYWKVBZFaQqbc8N+rL/15bR1DmBm0WEAfiw88dv4dico1y1mJhUyLgjbS17fOao7CxSoPIrCBTb9m++vy1WllonSGQGSI+/PQ+UWByjXLWYmFTIuCNtLXt85qjsLFKg8isIENvueTzA+U3/7141mD3yg3lge5NfPiu+rU0dUYMrilIr7YpEfCeDmvb5zVHYWOVBpFZQYbesm318esZGg2oWpHh9zdP3goop+oD2JQIeINubfu85ihsrNIgMitI31seB9WlubYrYJ7R3dabJ28FlFP1AWxKBLxBt7Z9XnMUNlZpEJkVpO8tP6Tvf6QDz9YIyhXz9iNMetco5yweNiUC3lhb2z6vOQobqzSIzArS95a9a498r3dZjCfL2344Wixuz9/ZeHERmO1xP5lwjjrarrT3KWfqE9iUCHijbm37vOYobKzSIDIrSN9b+BLB43t1+t38XSazn5/74Wt32n6JTDD9nv/uBsf3tOFa0nalvU85U5/ApkTAG3Vr2+c1R2FjlQaRWUH63sJ3Qf83KK4y5KXB41smmOVCJIKRWKWwHrl2+/d6bVfa+5Qz9QlsSgS8Ube2fV5zFDZWaRCZFaTvLXyJ4DEerk+i18tEcBmstpvNbCwSgXy0+TQQ5Ux/bVfa+5Qz9QlsSgS8Ube2fV5zFDZWaRCZFaTvLXyJ4Hk/zL9G1zwRnAf5w4tiWDAVaeF5HtyY0sDz2XalvU85U5/ApkTAG3Vr2+c1R2FjlQaRWUH63sKYCERfv4/Wz/lKbAfq1QbTqSg+fLHlgZQINE3R2gY09UjFUYyQFGU9lKQcYJUGkVlBMRLB9fchEsHuuZ7c7s/lSEwU/on3G0xFSriK9MD213alva/OQl+3hd6BRR7dK2sbsFiEDkcxAimpQD2UpLSxSoPIrCB9u+IbEVy+B8PB/CGeQPga/N2Xg++vb3HbcLocfw+m4JJlJFu0XWnvq7PQ122hNyUCrvNjbftchug8rNIgMitI31v4EoF4COlS6/D3y1XOEE43zz/WNUttV9r79PMVt0ZKBLzxtrZ9XnMUNlZpEJkVpO8tnImg6wtdJALev7Yr7X3KmfoENiUC3qhb2z6vOQobqzSIzArS95bQiWDRfqjJNy20XWnvU87UJ7ApEfBG3dr2ec1R2FilQWRWkL63rPb/2N+qdSr0rrWAPdlNiYD3RFjbPq85ChurNIjMCtL3Fv0RissRsW3B7f2IUpxMFXrTZKFT8DoqWdt+R51IRazSIDIrSN9b9EciRYtqpi24vU/li40v9KZEwBV3a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31v0R6LGDDfWFtzex5k+gyz0pkTAFX1r2+cyROdhlQaRWUH63qI/Qnc8So224PZ+FBEeRgq9KRF4hLBR1dr2G+ioO6zSIDIrSN9b9Eeixgw31hbc3seZPoMs9KZEwBV9a9vnMkTnYZUGkVlB+t6iP0J3PEqNtuD2fhQRHkYKvSkReISwUdXa9hvoqDus0iAyK0jfW/RHosYMN9YW3N7HmT6DLPSmRMAVfWvb5zJE52GVBpFZQfreoj9CdzxKjbbg9n4UER5GCr0pEXiEsFHV2vYb6Kg7rNIgMitI31t+7lFj423sempR6F1rAXuymxIB74mwtn1ecxQ2VmkQmRWk7y33H4prn8ceni0NetdawJ7spkTAeyKsbZ/XHIWNVRpEZgUZesuO4trnsW9yDa59Xm2HgpQIOoLiUWRt+x7cnlVZpUFkVpCht/xePd11r3673KiVj281DK5RyaPgUyLgDbO17fOao7CxSoPIrCBTb9lSfOPDPvfj4XA43rWH+kYL93dH3kuMDB8/mBIB7ymwtn1ecxQ2VmkQmRVk6i1/H5kluE+Hy+P5uBxOCeaf2/fzYHLtHf35kpQIeM+Bte3zmqOwsUqDyKwgY285Xije8WCf09Fw8xR/5+HwF6V8bh/vUKNr7/CPl6REwHsKrG2f1xyFjVUaRGYFmXvL8UxxjwW7H543eSbYDIdv838aC4+uPJCZXdNQfbA4JQLe4FvbPq85ChurNIjMCrL0ltOedKVOCYYGO149nzITbIbb5ViDaRUfu53oLm3V7dFuSgS8J8Pa9nnNUdhYpUFkVpCttzz2+z+Ki77Y2/BHXBZshrPh9vkzfLsT8E5/Pew0KJtr71yfLUmJgDf+1rbPa47CxioNIrOCgN5y2kf82wxPcoJgNpw9n6fhxm75pB2yAK5RTl5wbEoEvCG2tn1ecxQ2VmkQmRXUt97yGhFssBGBPv59c02vtDiSEoEtQrTj1rZPo+NEs0qDyKyg3vWWYo5gK+cJ0DkCzSnqnWsanao4VCIYacdMyjLDNooRms4eSlIOsEqz9nFp1QrqXW/ZDy9injCfJxj6ifOrrc5ZvG1KBLyxZu1tPZZm7eNC+3Nkc6B3vUWuI5B5gLSOoNPL3rnWqfJVGCoRjDvWWLysMn2KYoSmtYeSlAOs0v6jiSATKwtXP+fjirSyUEW4vk2JoIgGa6urB7j+OYqRukH75x5KUqJZpUGJwHonvoe9pXzWwHsFQw9dUw2hcxtqRDCJ8WKJKEY6w6Yt7KEkpZVVGpIIHv9iIhDRul0YLvBSIijaHWurU025vY1ipG3UvN9DSUowqzQkEdwnyrRu27/ess+fNdKEqjhYc+ZwrO00P/bPtaa+9l6oEcFUs+Cqbd9rP4oRmsIeSlIOsEobAneFblNlWrf9cG9ZN+zne8uN1KoJVXGw5sxyVdtpfmxQNw/1ci8lAt7TomlCvEbc2FilIYPn68wm9MO9Zb6uC6ztzcGFzSkR1APY+XkW4wUzUYx0uqct7KEkpZVVGpII/hbKtG4bMBGc8k5+lI8QnuaThezZ+8n0Jx/MlwWH4WixuF+Wk+lG3OMq9vZysH8cjZdyRLv7OU6ntdG/PFiVSbY8EZRsj6V4WPK5VC8xDeiaUMb/F2pEwNrqdG5HMaIz3l3eQ0lKKKs0JBGcl8q0bhuwt9wG8qtIrgo6fu3P269rtv0+nuZDMZhXBX+T+e/vc78/n6biIqbYk8OCw9d0N/8WuWE2XJ52g9fD0PKgKtt/HU6zOlu2Gz6yZTUtEtA1XTS9ykMlAnRw5SU+ihGawh5KUg6wSkPuRZ70V9ClppC9ZSqu9s8D0Z2/D8Laapl9ie/z57fQpAqy6mLgIbNGvif/+d6vf7PhVnR62a1noqT8yxNBWSZJnl91tmw2O3xVU2MhXVN6OLcpEXBGU7Qm8OqS1yrExioNSQQ/+cSbSVvI3nL8zrLlPMuug/V2u52NrwPZSeerqqDs+g9xbDwQI3qVCMRYYnvMVqJqngPWrwucPBHIvLBe3HK2WZ0tewwHr7cahXTNFFLXY6ESwSLGe6aiGKFFtoeSlAOs0jQ32JStfHuwvuMnZG95fp2eX6Jj/g02O/F3qBKBKii7/mR+vl5lD1aJQAB3h2wtZjpnMpOtRUYo//JEUJRdB3dRuFhV9GJPJILXZURI15Qezm2oRCBnToL/RTFC86KHkpQDrNKQRCC6k+UvaG9ZLuSgIHuUX9PPfCuu6lVB0fXv8qv9Vk8Ez8FJpLCpGPUbEoEACe5RnU1cGmzFNEH5F9Q1ZYRxGyoRiKus8H9RjNDc6KEk5QCrNORepBhgW/6C9pbTYJJf3i9HYgLges5Wo8t9La/qVUG2nj6ez8Ehe85kIpB7+bBgOT5sfwbiGs+QCLLF5JEdBnU2OVk4rYYPQV2zhNXlcKhEsCG8DdpFd14nihGauh5KUg6wSkMSgT3zhO0tQ9mZxZTeavD99X0Ut/a+vjcLMbJXBdlt+jW4HgbDr728hsj35Oj/Mf36/pLSTIngPhl8z8SlQcV2kdcF92/lktqq6Pd9W+gdWGTSvbIPCy0mkcNRjCBCXpgeSlLiWKUh9yIX1stDertSzpC2z+td4Uf55UqtQPTk61MdVdufxVuROvTa3tQdggabOh7JNWXOexsqEexjBCKKEVqIeyhJOcAqDUkEdkyMRqLcz/6O17/lN9DDs+zyulNQVSd+iOoaUVsXPFQiOG67rDGXRTFC09xDScoBVmnIvUj7hGLU3nKdjUYL9S2ugtK9/asu9eXx+6L4q4YV3ZWapVFda5p22guVCOz3kJ3kNitFMdI0advroSQlmVUaci9yqCxrt33tLc3HpZ6n4g8aTChf++qa0tfehkoE9lVlbSUO+1GM0HT1UJJygFUacC/yYX1TWW9/Dsj+ALUKqnabEkERGvs6c20I8QNRjOByJLKHkpQDrNJW8ja6+a/5tdqJ7Wtvsb9tsdOdemFfXatrrH8ONSJoXmXVLTJ+jmKEpreHkpQDrNLstwaRGbfe9hb7VY2Kqm7bW9c0gkMlAvuz6BpBlOIoRiiCxMIV6zP4ND5GNKs0YFHCb76cx+hAb3sL8nCl0bPeXvXoVIdKBAxXWTrJr/IoRl7mkE89lKRks0qzrxrM7I8a9Le3IM9Uqbh2b3ub47rllqeCf0GR/cWVGkGU4ihGKILEqrQxDR8RzSoNWJ0E5Ire9hZk4aT51PXWNY3sUCMC+6/caASRiv0v5UjmEHAPJSnZnNKA1UnAfGJve4t9LZQKqm7bW9c0goMlAv+rLI3ienEUI3WD9s89lKREc0oDVicBnam3vQVZJqHC2r3trWvdcoNdGmT2ZWUaRZRi/xEcxRqE7aEkpZtTGrA6CbjO7m1vAZZJqKhqtr11zaiXf44gzqt6kIWuGsdDFfdQknKVU5p9dRJyL763vQW4O6qiqtn21jWj3gCJwD+nahTXi6MYqRu0f+6hJCWaU5p9dRKwnqi/dw2Au6MqqpptSgRlYPxzqibC9WL/81VnY/ncQ0nKL05p9tVJ9lQhXjCupPVtC9wUsUjurWsa3YXeACOCrfU9VRpFlGL/80WxBmF7KEnp5pRmX5103Ci7+m1vewtwU0TvVX6kt65pdAdLBMByEo0kQnEUIwQ9AtpDScoBTmn21UlI2ultbwFuiqioara9dc2oN8CIAJhW1kgiFAOrWAlsLNAeSlJ+cUqzTwUCywj6e2ng33pTIiibnX1aWbVPjy1yHepB71K1h5KUG6zSrIsSgGUE/U0E/q03JYKy2dlnk1T79NhGMULT10NJygFWadZ1ItZMIWT1trf458zeuqZaQ2tb6A1waYDcPWppoe/ar1TpnJ41eihJecQqzfaFDz3Z0Nve4p8ze+uaag2tbbBEYL+IbClx2Y1ihCash5KUA6zSbItwoa7U295ivymigqrb9tY1jeBgiSA9daSJ+AeLOZ86sq0T+RWv/Lf+9ba3+A+eeuua5qSESwTAUnONJkKx9UqVwMUE7aEk5RmnNNtDxtC9yt72FujCRoW1c9tb1zrVqumaAHMEme0iUiOIVsy5fJ5mWYvuoSSllVOaraNDyxj721u8B0/9dU21hua20BsiEXCubG9qru0hN6tr8BgfeyhJuc0pzbYowTaHkGvqb29JiUA1msbW5YRBXwkNKw47tgGqA6VvlR5KUi5xSrP9GBB0GeLSrpQzYbfeF7b9da07cIXeECOC/a7bImupbYDKagwj66EkJZxTmu32MPSV2t/eAuUxFdeubX9d61Ibco7gx/4S225JlFLbAJXCxYTtoSTlGac0y71IW54oJPW3t3jPcPXXNdUamttCb4gRgW3s2NThuBfFCE1bDyUpB1ilmQfPZ+hnRPvbW7znVfvrmmoNzW24RIB9JzTVkPeiGKGp6qEk5QCrNPN3JvIQshqPKnl92npPdadEoE6nZeyoYH7bKEZoEnsoSTnAKs18CwJ5CLnPicDsnQqoYZsSQRUc5KmTCuz6wTxAdWX1qtdDScofTmnmro51pP72Fu97Xv11TTWG5rbQG2KOION8aW5TdG3PPECtAeN97KEk5TynNPMj+9g1dn97i/ed1v66phpDcxswEUBLSppq6Hve13J0k7YaPZSkJHNKM888Yrff+ttbvN9V1l/XVGNobgMmAttjKU0hjnveQzhHu4ZqPZSk1HJKMz+XAy0j6O/7CPzfOJcSgWp0mfkisoL5ffDO3H7mu2r3UJKSySrNNAdkzhJKTo8TgfnCp3JA/yElgio2/i+ArKj0H7xPmJ7a9UgPJSlXWKWZJhzM1w1KTo8Tgffaq5QIqrPs/7qnikr/AWxxegL+Iz2UpJxklbb+UbTvW7Af9be3eDfe/rr2frZkSaE3yF0D1uUr3eqzDByD6qqHKO+hJOUmq7TDVtG+b8HRYH97i3fK7K9r72dLlgRMBKzLV7rVi1JsVkpbPcSBHkpSbnJKM60iBueH+ttbvN9V1l/XVFtobgMmgmx8b9oKsofdpwpiWkfaQ0lKKqe0+1ixvm/B2xP97S3ew9n+uvZ+tmRJyESALSrp1gWXRlmtAKvJgT2UpBxglWZYpwguWOhvb/F+V1l/XVNtobkNmQjSQoJmrHuwB35TY0oNWQX8Duhvb/G+ru2va90nN2QiYL1r3S2/l781yPn+D53bjuWs0nb6xj65QQL1BFD1kCDf2ZQeu9YZtpCJIM6rSZDXZne6HqwQepN3MOtGYlZpp6XWluGqoV6nx73FtFyq7oLuc49d65QcMhF434LpVNwqhH5Io1Un8G4PJSmPWaUZZgvBbtTj3uI7rdpj11RjaGxDJgLWu9YN1bUd71mdGhfTxx5KUp7xStN3FnBg3ePe4vvsbI9dU42hsQ2ZCOLc4we/fBpeB97poSTlMau01a+ibW///UQATne2Ha/2UyKoQpGlNxLUYtGTj6YHBMgStWsL0Tn3HvcWwy0RKE49dq1Tf9ARgW8wOxW3C7F34bRrBd3voSTlL6u0v5mibW3RK5Ae9xbfQPXYtdbJKnaDJgLWu9ad8kXh9qA78rHyHkpSseCVprvQQGeHetxbfBfB9Ng11RYa26CJQDt0bEjw3GF9tNZTS1m9h5KUY7zSFmfF29z+BxKB77vKUiKoNQnvZzlrXNqPUW5Saq13HuihJKWTV5ou0/8HLg3Ax6ZUXN+2KRHUQuL95EaNS/vRcDdbWyfwgR5KUh7zStNNEvwHJgt912CmRKCanNyCd5HqVeifdReqdCa2Gj2UpHzjlaZjA098j3sL+EYFFda3bY9de9MqCwq9QV5MIth9V2V0Sm4Xzv7aJR/f76EkFRNeacuT4m1u//1EAL5jqel2bS8lglowMl07qWO8P/vO73oLeCfooSQlklea7pfNdCMFpaLc9ri3nDyfYemxa62TUOyGHRH4zrh0Sm4XRnnIsW3UvN9DSUowr7TbRPE2t+BQsMe9pZhVfTbdIuz12LVOL8ImAt6bVZ0OZJlv7tbQ+hT3UJJyh1ma5nljcClZP3vLU3b//PGsi+bKRwXTsO2na3rBYRPBZa63zHbE+/VybEoqoh5KUtqYpW2OirixBS9AetpbduJtCvKO12WcRgSN01pOKTbLkD30fjLCpcWg96q0BPwHeihJOcksTfMGU/CasKeJ4D4+ytdjX0YLFTX6tqeuaR0JOyLIRg+tZb4D+qdh+WwQmXooSXnAK+3ZPS0I3nzra285DFeP0WU81D5dqYKp3/bVNZ3iwInA92FOnexGOXhB2qgTeKeHkpTHzNIWnZfR4ExEb3vLdDgZjsdD9ysD50G0Ok2xt4ETAXit6Oe177JwP+udtXsoSelkltb9Pjrd3QQlotz2NhH8DYej6dDjyiAlguap9l2o2WTT7OluZmvgMYp7KEm5zSxNs2a5+4pBaVDb3iaCbDUcDsceVwYpEahzXGzjPHYU495E0y/bXpTbJTYR3ce5pc0vXXa6S9vInxg/gdM2Cu0/RSLAklk33bXziqkb24vSwJcG6POoXrF4jLyqh6jcQ0nKTW5p3U8gYhcgd8PvqCq9H9oehiP9S5rtmg4e0wt29gCIwIkg88mqsLtRflsNVpMDeyhJOcAsrXs6oHvqQEmotrvqU+8+eN0zyHrsWHekQyeCOLcNNO/H6HY5SqnulR1RjJuNcEubXjvsXcV6HODvt6suUC885Hbw+Q47Yj/wEt4N2ELoRLCOMfjjff8WHDsTsIeSlFxuabvObz9w3LFVqnq1fe7HcrJw5zq+vxfdqlc+WcSETgTdV5AWUdTD4DiUSuuD76Ek5Q63tO4vf/Ab4C/GF4XyHN3ep8Pl8XxcDqdu6p5b1FJ/cKETgWYJKm8AWH+/h0daDyUpx9ildV4boD+uduy86aC0fmT7nI6Gm6f4Ow+d1hY+tzHW0zKHJnQi0Nxm5vWCef08h7geSlJusUvrvDaAb04cezfBsx+eN3km2AyHnZc9KpLd28e/mAfKdQ+DbpeqUo9LnjhPG/RvbkbzfG4V0g9+4JbWfW2ArSQQYTjtXS/FA8VwvHo+ZSbYDLfLMdnG0aOzkI3xVQg9Isjg9uDj07J33ypZDyWpCLNL67w22MNfpo/9vk9vm7sNf8RlwWY4G26fP0PaV8z1IB9h/hf/gieCKD9yAj71GvME9VCScp9dWue1wVXz8iKlorE97fvztxme5ATBbDh7Pk/DDUnYqWeDm0aQjTvBEwH4QKpRpPWg75smrQbogB5KUk6wS+vu87P+DdNUBIzb14hgQx4RGIl7fTB4IuBe2t4Zze6r1E5orMIeSlKu80ubdg3tD56v/1Ryo2+LOYKtnCdwmCOILpfHYPBEwD5H3em3zyqwTkL/wh5KUk6xS+tcLXKPMk+sfGLc7ocXMU+YzxMMi/7BSN5XquCJIOOeo+6MJO/b+jtNUAt7KEm5wC7t1jm5vup+n6FS0dutXEcg84DrOoLeOmYSFj4R+P6+tEl9dSzKlGRlDfrQQ0lKN7+0edd8wEX3q+lKR1+3YmXh6ud8XLmuLOyrXyZd4RMBfhvJpNNyjPltGxZr0OEeSlK6+aUd14q7vp32b9VgXZ7+c/GswdD5WQM9c2+PhE8Ep2UE59mXzfpr7qEk5RS/tEfntMNPjFOvnGLe3i63KEtgmGU704VPBFHeTRJnSpIU5R5KUvoDSFt2vtZr0tunjFUoGtt98xmjXdE5SkjrYJYd/tEpkIbL1U74RJCNYzyCAf7GVuV3hA89lKS85pf22/nlf+i8YlAqPrtdN7p5vrfcNCQ1H5hrHcyy5b96e7ThpNqJkAiY35+tlDe3q85vpCYm8l4PJakI8Et7dt4rfI77u+B23khSzb0iTpaBU0oEqjmBW+4XYXSajfK65E7L2sIeSlJaA0hbdw6UP7So6JR38qN82uE0nyzkcqf9ZPqTD+bLAvFOwsXifllOphsxYi329tKH42y8lOlr93McTmpOyYOibDqVZZItTwQl20M+v/GUP/6t7F0F86q372YVLrT+IowI2Fe0tlzId6O8LrnLsL6sh5KU2ADSuu8VPj8zS3AbyMkJuRro+LU/b7+u2fb7eJoPxWBeFfxN5r+/z/3+fJpOxU+e5ntyWHD42p/m3yI3zIbL5WLwui0qD4qy006U7b8Op1mdLdsNH9lSPF2h6LPv9fm07e94SLWEahshEfCvaK3Uvz5Eee/ByxzyqYeSlOwQ0rq7/M9C2Yy6nYqr/fNAdOfvg7C7WmZf4nv8+S0SgSrIqouBh8wa+Z7851v2iOFWdPpJdl7OREn5lycC+SCVKJMkz686WzabHb5Ev1f0t8E/NBqQHkZIBOlNxmVT6tEGfKMgRXHnI4ii27y+Uylsntjjt5jMEz93cR2st9vtbHwdyC/n+aoqKLv+QxwbD8SIXiWCYiyxElVFf3+MVq88licCmRfWi1vONquzZY/hQExTKXtZNh5tPuK5a+BiJIIobzJmf8jeNaKvej2UpMQFkNb9WvPsLAbe8f+eX6fnl+iYf4PNTvwdqkSgCsquP5mfr1fZg1UiKIBrsSZyJgYVM5lMyr88EcjbCuv5Nf+6X6wqelEqEoHo+C/653HxNUqXBip6+XZTm3JpHODc2RcpjZPSl6uHkpRLIaR1LjMWX8xycB79b7mQg4LsITu5+HvmW3FVrwqKrn+XX+23eiJ4yuFBNhWjfpkItrPORFCARnU2cWmwFdMEL3ppdCzzxj/yF2NEwP3a3M7QBpj/6rRDKOyhJKU+hDTNab4HuAxRbui3p8Ekv7xfjsQEwPWcrUaX+1pe1auCbD19PJ+DQ/acyUQg9/JhwVLI/Rn8FYngNOlMBNli8sgOgzqbnCycCrCiv4vhwWPUvy8nbcRiJIIos4WPsdbHTx3ooSQVihDSupcZi2ko0WHi/w1lZxbfyqvB99f3Udza+/reLMQ3tCrIbtOvwfUwGH7t5TVEvidH/4+pqCB7hRwRPIbdieA+GXzPxKVBxXaR1wV3MdGo6K/fg+Fg8Yzvt6vFGIkgzmzh5O4ag2D1eihJ+RpC2qq5QleZyqZytP2xv+e1ahij/CqlViB68vWts95rRZ1vY5Su3NTlf4NNHlEF9+tD7v4rf1ESQZSnN6I87kw7rT2UpBwIIe38+vpUZvLt3+StszWOx9j5O17/lt9kHVGmt2L4b7URJRGktYXW8xAbEGBtobhlpr4mW95s88v1VmHc3etsNFpo5BmU/K7ui+KvGlYY0P/yoSiJAP3VG69ANh8R8aLiqtxDScq1INI0Swmy50RcQf+Tf/fx81T8kQcT/5i/URLBbRohKvBP60TQUprooSTlfBBpmqUEWXYRs+z/5l+UF+31ITRREkHW+Wgat/s9PGc9lKSiHkSaZimBeFpnqez+Y1vwt1z/Ma865MZJBOlJ5I7Qf7aI/0lk4Y9mKYE4MtPcUfhsEOzW9R7Z6/5TiDiJgP23dbpi3PlO7S5gvLIeSlLOB5HW/VYCafI2Fgt7/sE/7dXOP+iLUXKcRJDeW2g8CZ84yP/eQulF91sJ5JHff3SaIMSCCxmPvv3FSQQhHnt9i6TlhTJv+AgFPZSkvA4j7U8/LbzVrDJQgnq6XRcPK/RUHZ+sOIkgi5JX2X+3wz/MPZSknAojbaZ/g7lc4Pvv/f38k6rpcY6UCIJMTbW93cZ4yrFt1LzfQ0lKcBhpP2IBvubvOfvIc4gaNWhxlFvfqJiAuEiJIMjUVDssUdYttY2a93soSQkOI+1peNbwMZUvEfzX/gwO/WuumPRGSgRhpqZajvVwhreHklTQAknbFi1KWWlsH/NtY/+f2IkymP18JCIlgmwUw9Uov6BAc6SHkpQDYaRd5Wv9dH/PxeefOtBp05Xz/z6cztJHy2MlgjivK/vo866d51G+4bqnf4GkzY0er2f/2nqCKG/T+HwTiZUI0gOInz/XLQVBHkAUCwZe7/tsGcx3f8f9m9Lt0vkqi7I+/mXuQ59iJYIwU1OtoF3MbbCFjrLbQ0nK71DSut9rrqxm90WU0WFlz/tDoJGTty5egliJIP0UKu95Y2ALs6RI/ESIbR7gd5r/9hCDC1EootzxiuKJyUisRJBFuQsTZpGMKX7WYz2UpDQHkma6g1ia/pnMf/6ZB/z/xLvN//t/0RJBlLswPXyzVA8lqVYdStpuqyzot+f1aPVDf2OQnjDgkdE/k7M8ghAtERy3HirRqlFmIlAxBa6HkpQDoaQ9oBuTz9/1ZLI+Xvr/ypLFv/p+JXWikW20RBBlgBVlJgIJ6wvTQ0lKXDBpm6JVKTv67e1nOx+NF5vjuc+Dg/2/uCBSH/TuI9ESQXqnefcJ+GRpqEfBxJv+CG7dL8ftcjqcrna//VxjcPk3n5sknAIBjZcI0luKaGcmAjrYvI3+tQR6r66nw3o2mm1++3et8P8wSRAvEezQ8aK+rdiP9HA9aA8lqTgGk2ZcZ6ysd22ff8fVaLr96zr2ubIo32Gfcy+3HC8RBHmBdjt6PVwP2kNJKmrhpC19lg9e97Pxtk9XCSF+Mladg75s4yWCUOtXmpHs4XrQHkpSMQsm7er540b3Q59WGoRag6lOQx+28RJBFmj9SjOKy/7d6umhJBWzcNJW3i8hOa/GB8qco/IpwDbOd1gA4QTKiIkgPXdEOC9xoIGeOxLib6QbB93e3kQq6D4SuzTKj3fGdqppL2IiiPIq4x7e6umhJNUGAkpbFy1LWXLb3lb9+LG0KBPdbiHiqhUxETzGXKJNPD281dNDSSqC4aTdoeWFSod2e5muevDzo1EmurUxiHIgYiLItD82z+lpD2/19FCSinhAaVum9XiHHrzA4P9gkiBmIgj1kItq1fm2h7d6eihJhSygNKYhgZhumC8/vsYoykS3Oikf2cZMBKEecmkEroe3enooSYUspLTdRlnx3e7Hxtef+dID9aNMdAM6wkFiJoJIv3fUk3tOr3P2DHcl/jLi9imktOeY7Umiv+nms2c1ykS32ylkqhUzEWRTtpZh8L6Ht3p6KEkFMKS0I9+b456byUeXHT+ivIVbnZRPbKMmgiiTBD281dNDSaqtBZU2ZVzddf7snGGUiW51Uj6xjZoI0iTBJ06x0WbISYLsrP9JVKOozoP32eqDlwdRvsM6/Y5UGDURpEmCSGcVNxNykiDLvJ49enNi88Gv5SjfYW8eRyyImgjirCQIednreGZ6KEl5ElTajWdVkdL6O/7Yb5RH+Q5Tfn5iGzcRRBlgBb3sdTtHPZSkHAkrbbtVdli2tykvH0FUlIlugh5uaNxEEGWAFXABvWv0eyhJuRJW2oPvFmIu+LlYfmiiYPOjIvbf3MZNBFEeNwh72evUDHooSfkRWBrjLcRC8Xb6mWcPfm0/26IC+o9u4yaCOO8k6OHrp3soSTXYwNJm3Jf1P+OLkh5zG+yVzzGdMNiKkQgOr/dW1ZZq7sGxFoaro3r4+mkGSTvuHlW2Cps0m90q8rXTXGtwf+WLCWw0ZRUAdhn/ZH+/jTce62vpj9Q0Qh8n5tVwVRggsv6BYiSC5aryu/Y853JTlWaZ4en1OTQmq7NF+QmFmnjg49+4CDQA1UFm9XjpQA7ltmjZ7FaRr53muoxNodtGUzYBK0xQ3ybTr/F4UFu3qK/VPmJoaILZdHTd/uJqgrFmWg9Mvz5HTgS65zkNYTQc0oUy2Kv4dAbt5UMonZl42k3ahCUds0QLtqtJBI9xvjjYSlOcZytMuvaYiuTyN3gNNPW12kfMrcl09Kd9Bpvg5h7pBPQCzJwITvNJ/ku3u5/jdCpP1H4y/ZEtZPdzmMiC+eU4Gy/lKGsv9hTsMBwtFmoSaCMfNZPjTFFnuspaES4KlZ2cX2IlW1ZS72brwrgokn/KSnZZTqabR15ymE5PovJMLoKtyCS4+adq/AkXHgvxnfC7za6Cpfa2DLVbsZzm49mhFK+4Gw4qUmlZQtVGgZUFxVxIkk36IX+JoDR0yhvmsXrqv2StK1VEpU8au8uTkl4apNnNI69O8yt6JYk4mb8zCZltigagEKpBqJNSRmi2KRuOwjW3JetzIc7HsHL9RV61HRXTVtQa56FGXfCWR6s4laenwN0m5W55uAXOm6lq21WzrJno+UfeRHD82p+3X+JN1LPh8rQbnLP91+E0G4qzNhsuTvvBT7ZffO1P82/RG2XkFOxvMv/9fZahykfR8kzPhvPfUzsR5IWVne338TSX/JLtUFLPhpPcuAq9spLt9+fTVC57lSWbwWp1Wn89sopM4WtbVeM+uGW/A1F1vsm+1+fT9nXBWO5WLMfB9vyzKcWr0r/x+OWgIs1KaLl5CSkpm4ZEk76NhJeK8j6Q37Tf1Vv9Sta60pZUjd3j/Ks8a052ZeSr0/wKXcklT+ZCpHMRj6IBKES1X6oqm0B1rhSuua1Csp7vZTsr/yqyqu2omLai1mhoqrbYFrzlURUnxVHiRsWJVa2oBa43wKxqljUTPf/ImwjyZrlaitM+EX7P1nk7fX7JdjASBZtxdvmWFofbMhGUsEZvr07mbCygjUNiNy+s7HyJ75rnd5kIFPVsLHqsMK7+lJh8/zGQeUraHcqU8P1T9CUpWvOX1xgdsvVq8My+TrfBvQ5Uu5Wk7+KLqhBfleb+1+rlpCW03FRCSkrFXNaabYrYVZRz4fbvl0qfOUqyvpRmLQYJ6bB7HcpkIgLgZlf2AKkpP825CvmPMi1P5m0oW0TZABSisS9VSZ7yzNTOnYIXW8WaXQdf33IMWP5VZFXbUTFtR62wouqpreJ9HZWKFEeJ+q41kZdgeVDtqQaYVc1SGej/ljURXAfr7XYru0B+KteLm/giFTsyEYj/s/Pgef2WN39W8zIRyJO/FrM+rzOQZdXJLNpD/ZAkE1UqO9ecX/YIgbrJLi6pZ+vxPWcVu/KvFCNOmNA2Hogrj7xEXmgKYxVZjm39U9UQIkfnyekicsF4tDnXYMVuxXLNVZQmqtJsPrpXdRRpCVU1XuDSQtPQbPIl7xu8UCeRBPKwFsSKtaa0JVUh2na/l+VZc7KbR16d5spHZTo/mVPZIsoGoBDVvlJVnOfqXClcc1uF5H6df8twFH8VmWo7KqYi5Tej1mpNiqDkLY6WiiqOAnSV32fyrym4tlc1wFezLGr8C/+yJoK/wWYn/sTXg7w0y9bza/7tmQ/zZZe/DB7XPJGvZ2UiKGC6RCCPNnKE2JXMlZ1XxMUpLHYE9WwjZnjXIteUf6WYLJvMz9frQLSfvCRfrjreV2QKXt9WNX6/71/PzXonRhHP4+JrJFt+8VfsVix/eW4qTVSl2XzymnRWpCVU1XiBSwtNQ7Ppl/zmfqHEd/8tvzwodCjWmtKWVIVo2/1alGfNyW4eeZnl5Gl+/ZVcRc8c/Ra5VzQAhch7vNxXqopOWJ0rhWtu6yGZvHJrRaYSgYpp1o5aYaVJKvZK3uJoqajiKNB/AzmMFH9NwbW9qgG+mmVR41/4lzURPGQny//K8/mUX7/ZSLSQmej64vJWDCDF938mLxpl0KvTXj8/eQedyDq6RFDZeeYGyzmCwpigFj+kuepKBPLyWYwbWomgIsuFN/951XgMRIY5j2fbHPAc59IUWOxWLOpDLl7tCG/lsKX4q0jLowqktjmqtFAzJAa5X+Js1VD7yaZsm6JKjbWuNHsx1BD5aVJMj69XzlTwVy0RTaNdeR5fp7l0sdhIkuJkLsYP1QAUQu1XqoomULUIhXvbVtLmk+rXnBVZaW71ilJbfb2hNaklb35UKVLxKWGPQXF7RR1ugl9hEA3w1SybJvq8x5oIsuVIjM6vYuCszudi8sgOA9mpRf+7j0T3mQ/v2Y/8IpNBV7BsPX08VZg2IuDHvI4uEbzsrEaX+1qO2STbUlwRSOrZRjwr1jEieA4O2VMKKeyWI4IXmRLw2r5qZJPBTpzgwSW7C/ceoyJuAql2K9fzD5fCxIt7PaneV/YiLaHlpgKXlIq5lCNi9fe9FV6qGIvWLq9Fy78Xa6W00lZAXoiW3cVQnA5x1pzs5pGvTrNSo7iy8mTuVlUDKCFqv1JVNIGqRVRM9Q8qJIeb+A4fHH7UIh9FpsyVURJXoe2o1Rvai1nx5kcrReq8lLilnEu5iEZQtqImuN4As6pZvkz0/RNvIniuBt/5LI46n/fJ4HuWXxqsJt+Dmejsj6GASKuNRHCbfpXX1gIxHnwt8jraRFDZeS6/vjcLgZNsj2lBLYzP/joSgUhJw6+9vGbM5alEUJF1nKuqRraRyWv6JXrM92A4WAhPij+1W7E8F4PvgZioyMVXpbfpd+VgRVpCy02mwCXl/9o7EzVVdSUKowFxnkdkeP+3PAkYRXe3hj5UTCqL+92jQFGp+qtYHRDd2vNtIOUwGy7vVnLzrH2r8O71HulrqHeL13HjQV21v42ryN/LfIv1QUkXczzSDaDT0es6qqYFamyt2t0d1m80kjSKInUr73CbE4y1Mz1cpZm+Ums32sO39tvs1RFpHze7Mh2owt676Nm43YDVvS0fQ7j+rl8hkBdbWf6c8rW5mpYFub1bbrL7WfRsel+7vvi473i8aY8j75Pflly7/uXLtaXerw9oXtvOnvfIfP4NNs+KtpVevXsp2gzuW1shPZzeTPUR2vjmUntujybfa6vmuvu+8+H1vql69vCweB53vblF/Kdx69FuxX2MfB+6KWYmf5ngyebREI+oWkf/9vYWoQa2v18daOf33tEm2tOdmt7w9PoE6h7Rs49L2mC67649PK3dG1DuerTl00iOrvQtBL+lWSt9vbPXH4S97LLLbPjvuUr75drfkny7vfeQrrvbfcm3w5rs7Bba38bdzJ4jeTTE8/aOa7u7EnQ88C/m96u7Twf/1pafjvvifltCML0/BvbbU8b5tFk+zwZauLJxHE8fd/Afe2TN/uTw4eHDu+7e48kfEnyTxSh+3CF4F6xBpD90+O9HNeP+vv+XWMb1xyb3wx4N8Yu9wWblLJVYO7WMgd8nk3vE8lKs/bHxk9HLyq9t+WLn0KotIWilXH/vtVCf+T8t5bFZ/v3z/mRmuDI7VtLhXrnsx+HruN3Dna5VNPuO8XQf5w+RSlpyeTqfPo37af9rFPLfR1b+y+NWUegI4R9nzYY6hsWoeSb1n4b65aCum1uJbuu/Zk/XhV29OWv/BSHYriSN1VPX9Y9nt5Q+D/L+njuLgyFpOFZC28kbbXJRhel1WU1qqe/d71OQ9dl/URlsiTv3aVh7K18Qgkw+lEP+D0Zc5SfsJ/VUqzuLgyFpOHZCm9Y3dfsvyqK+/dC/X01HvZY7pTbqgpN2nPaYVt/bFoKjlFb56e+KEqcaQw5Sxs2fIKs8fxnMwZB0pPZCy9UXki/qoYWel9mCxm87zFzdipJXtTPKzm0PaPm9bSHI4vlluStEQphnFs8u1XI3U19tcmRxMCRNxmJox7SsdvVXnPTgPb1O1jR+2+Flsfzu7PokHg9ztvd6/962EFRHIeSPAtTf/CODJ8dIl6kY1U/Sko3SybGDIen4LYa2XFRz9UB430uR7hfqK46ky0FMTpORUI/IM1ysC0G1jWMhiHHuYpEK8fhSigOFczAkTcViaOP9iGQymI9GgnzOvhaxSByaZur69fJqXwjk8+BSCGjv8TZjUF5+dIdfp+1WSDoJG6Fdl7Lq9dKzPhcrGr8aTut1KkcyfHijdZQfb78gBPJ7R0KYPQvzd4ZTqTaOTeIcDEnztRJasUlG6pzt/YqtWCi3QtBfCcr4R/UjFxocn9dvCEEpefZ/6/i5JqW8NGhye97+xTUHQ9I0bIW2T6U+xys9bG+vjRQQ3Hx4ibCIxYi6c1+GtLX6DSGQn8XK7yITL3lCLjZdM3AwJJ2CtdDOYyHUT1P0vRTyysPCdddF0Hdu32jM/H1FCKosPv/0BQGzkA2tsvhKP4hhLDczB0PSCdgLLZvEFUVliqW6W0jhWTNSr5vWb1O1t3v//htCUG4SeUWXrOsnQ6kIlut6kA3pIN2CdzAknYDN0MoVUfmLnLjmVhpXl8Ty6xeEIE/FbHeSz/tQ/nOWVgbpVisHQ9IJ2AyNbiw6zw0nav+6Gl95tS8EZZqcSrWcEvmgGdFiZZBusTsYkk7AZmh0Y9F5bjhR+9fV+M6rfSHYiEYHpBK0/q2anrNftwZpUux5gO7uHAxJJ2EzNLryU2dBF7muwzdf7QtBMq/nA+o/M7L7vMnMwiDd6uZgSDoBm6HRlZ86C7rIdR2++WpdCK5ifz9H94LoswMrg3Qrm4Mh6QRshkY3Fp3nhhO1f12NL71aFoJ8txDHuxAcxUL90xr9L1YG6Ra2gyHpBGyGRjcWneeG06v/PfmjMFYlwaoQHFa7a/Y0I8juotDrGyuDdIvYwZB0AjZDoxuLznPD6dV/tl3JfzeBzWJRCC7Li0RaPF3KFboZ+321Mki3kB0MSSdgMzS6seg8N5x+8H9YkX3sZV1g7AnBbtcAbd/cXete7PvVyiDdgnYwJJ2AzdDoxqLz3HD6wX++ZHN9YE0IdvpDw7z1HEGuW7HvVyuDdAvawZB0AjZDoxuLznPD6Sf/xZLLnMCWEBwetwiz+5OFRHcIVN2sDKJPJLNXB0PSgdsMjW4sOs8Np5/85yvrk3iaAS0JQdG+CLg9Er4mmw+oulkZRJ9IZq8OhqQDtxka3Vh0nhtOP/k/MLljaEkINi8nfXYinA3o7rYyiB7M7NWhkE73i7UmdJuh0Y1F5/k3SkymBLaEwOw8gZUBgXl7dmVgr02ejivGw3TwePxS2+C1M4Ft/W+f0MzXLXq1IwTHc2e+OOA3AuPFb3veb386bj3Mykt0+yDn/XHY+5ZAtrd4utINZUcINm9RYqcZgfM0Gc2uGxFPp9fyNBuNFvKCq1iP0t1mKz0cxsm0LbjbNJnJJzeWB7lPGtyOuw1VPzg/GZsNDKt3BJpTiO4UteMZQvCuxk7tK4bz42F5OY/G+31ertfHfZqW5WqwPYyHcpK/HayPq8FDCTaD9WEyzEv5AzBlOZ2Vt+OalIpIScdKOJWgp8Hc/51vO2cs0SgQAm/a7xI1N1gfU/xrdCkG8owupBAUQzXtmk11OsVQCkAhlnchKB/Hyc9UIvXVr81AW+P17wQgBObahEuDv/fZ/cgiEYujfCa7OaGvyzRJosMlUs9tj+Uf/Gi+Wi7HiTa/RGpyMJtACDQRqlcIAYSAqrd+9ptvJ4M4uwnBaHw4X6L9uZ4mTGblKaq/yXmX3GbHPP1ZCMqBMlzGPw+ErV0IQAggBF36pRfbPF6Uk7l0Ja8KSnnbf1/P8Qsxu032H4M0k/90VqZLuXEkbyLUx2mDVF1D1P/RW/D6RwIQAgjBH1vnb4dlh6LM43W5GF3zsog2ZT6WV/rz+JQt1BMBs1heC1weT3JPk2u5i07lIr6W20ga1MfpodWeQ/Sw1tvx2pkAhABC0Llp/s8B52Ekokkhv0YxkNOBTTQcrAf7Mp8NhsuJfLQgn8ktQ/VhQLNc02gwkDcMr0k0mMhrh9txevcyGkZ/fDJJu8BrTQBCACGwfCpk59aT2vljpRD1rYH8nD39vkN2blazHx/nbh1vOQ1mw0EIIAQOtPR5ez5N5eMCWL5FAEIAIfhW77XGvYzjeKo+Qrwt10mzXPWGp9f3e59MsWJIAEJgLgTzDRZLBNbzZln/ON77vT8ego0fCND/I8zmJ9rfLS09Wfj3AHEkCLhNAN81MK8PD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGgzswJwAAFAlJREFUEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCnyoOVeb6wDIgAj+bGjCCglkWqFAQgBOZUebAyzxeWARHg0dyYEQTUskiVggCEwJwqD1bm+cIyIAI8mhszgoBaFqlSEIAQmFPlwco8X1gGRIBHc2NGEFDLIlUKAhACc6o8WJnnC8uACPBobswIAmpZpEpBAEJgTpUHK/N8YRkQAR7NjRlBQC2LVCkIQAjMqfJgZZ4vLAMiwKO5MSMIqGWRKgUBCIE5VR6szPOFZUAEeDQ3ZgQBtSxSpSAAITCneryY28ISBHwicN37FO2vsdqZEVQ8VPNXitgRLoFdwSJ3W0JQsqDlTxLX89WfYL2OdO119PfgLQlBgSnBHTn9m3KTCCGSDdSXnjWXq15LQlAdTvQ1wQgNgTwV891pNxNpDiTEBAomE4LbxXv0AVcPf8935w9jYHdPBMpUzgXUckpGmBP0BPU3NysuhG3NCKpqx+Pu6m8d4c72jdiIZa0EczF3JyyOkRQrNnMue0JQXVYZx2ZwLqdkXi5rJViKUeJcdJwCOq65zAcqe5cGqgEO6z0bBXW2oa9iX9ZKsBSrvcBnB1SFuu7WnJ6OsTgjUBXJ9xsstASW4iivC5ZiLFblUSxpBwvY+4HH8wNaJy0LgR4Wr2QE6hlBWY7FuCwxIyDDzM0xhIBbRSt5j6CZESzLGe4RsCsvUUIQAiKw33O7ESd5ZbCS/58LLp9yf49mKCNDCNhVWj5HMJc6UJZzEfO5q82uTI4lBCFwrCA9hJOPxKh+sjAWxx7cwUUIBCAEDKtczm/fNYAOMKwuTUoQAhqu3/Z6PYtvh4DxfSIAIfCpWl1ihRB0oRW8LYTA+Ra4HA7mz2Zv7t/ogBA4X1mXAoQQuFSNn2KZD5Ikmv60p9m2aEp4M5gstKWJEDwfq4+sftl83483/AhACFyvqfp2xiXa/Rrm49RXJo81EyF4WD+5/2Xzkw1WeBGAEDhbz2w2Sue3L2m1nww6TpLxtqrOcveyqLYink5zvdYIwW6czK5KCDajdL9taUi9o6qW6tMEuf127Hq/HaXS6mWzs2AQGAEBCAEB1H5cDhen46r+9mCxHTzuEuyi1Wm/lCf55nRM0+oymhwOpV6rhWA72BwnQykEq+HuOGn9JkGzo6gSVfXpXB87FtPjJtq/bu4nC3jxgwCEwNU6XaPbbCCLosHhEeWw9dhwEWWtiwG9NlRFFVIIBvLPfDmc349tdqzuZ/zt2HEsLZbJ6+b7YXgTAAEIgbNFTuJl80OPebaK7j/5mMlzv16K1VjeRTzeTubW2rW2mIsqi9R8YnIXgtuOyesZP1YWp6jUE4WWtjRD4b/8CUAInK1xuZsO4tsPi0wmOsxLfXbLtdHklGXR4XbWttaa83/xrxDcdoz/EQL1ScM5KiAEGnKArxACl4teJvJmgFom4+a1qgp57qslV4Jw1ULQXivlNKGqUlGVtenjHsFtx7xKV9JgJOcBzccDY+V8N3jdLDdiCYYAhMDVUufyaqCIN9X2WpW7SH5McFtmsbw2OMuzfFuVY3mqL9KifKypU3uW5NU+kvcI5vE5Xwzulwa3HZdqGRfVLpLb62Mr5SWPl6+b9YB4DYEAhMDVKmfDSETTskqjKGrfICyn0TCSVwrbSAw28i7iNR3ImwJ6TQlBkUbDwUYKQTkbDJfT26RC5tnskK9JNJjKTw1ux47no2E0Ll83uwoGcVEQgBBQUO3HZ54VylGR5c/+bhvKrP1rA09rudwlhaBe4sdkQl5Q3I65tl2Ol9W1uRfxtPl5UKzxJgAh4FpfKQSXXXaZDdty8WOyUgiwhE4AQuBJB+TTZmn/KX8buhSCbBzH02v16dBp68mEty6xky8BCIEntS2PzfLx77vOR18ayFsFXQ/VLvAaDgEIAddaP4SAa4bIq0cCEIIeYTrlCkLgVDlcDwZC4HqF/hofhOCv5II8DkLAtewQAq6VJckLQkCC1QGnEAIHiuBPCBACf2rVLVIIQTdegVtDCLg2AISAa2VJ8oIQkGB1wCmEwIEi+BMChMCfWnWLFELQjVfg1hACrg0AIeBaWZK8IAQkWB1wCiFwoAj+hAAh8KdW3SKFEHTjFbg1hIBrA0AIuFaWJC8IAQlWB5xCCBwogj8hQAj8qVW3SCEE3XgFbg0h4NoAEAKulSXJC0JAgtUBpxACB4rgTwgQAn9q1S1SCEE3XoFbQwi4NgCEgGtlSfKCEJBgdcAphMCBIvgTAoTAn1p1ixRC0I1X4NYQAq4NACHgWlmSvCAEJFgdcAohcKAI/oQAIfCnVt0ihRB04xW4NYSAawNACLhWliQvCAEJVgecQggcKII/IUAI/KlVt0ghBN14BW4NIeDaABACrpUlyQtCQILVAacQAgeK4E8IEAJ/atUtUghBN16BW0MIuDYAhIBrZUnyghCQYHXAKYTAgSL4EwKEwJ9adYsUQtCNV+DWEAKuDQAh4FpZkrwgBCRYHXAKIXCgCP6EACHwp1bdIoUQdOMVuDWEgGsDQAi4VpYkLwgBCVYHnEIIHCiCPyFACPypVbdIIQTdeAVuDSHg2gAQAq6VJckLQkCC1QGnEAIHiuBPCBACf2rVLVIIQTdegVtDCLg2AISAa2VJ8oIQkGB1wCmEwIEi+BMChMCfWnWLFELQjVfg1hACrg0AIeBaWZK8IAQkWB1wCiFwoAj+hAAh8KdW3SKFEHTjFbg1hIBrA0AIuFaWJC8IAQlWB5xCCBwogj8hQAj8qVW3SCEE3XgFbg0h4NoAEAKulSXJC0JAgtUBpxACB4rgTwgQAn9q1S1SCEE3XoFbQwi4NgCEgGtlSfKCEJBg/a7Tqxq+FoL63XeDweheEIAQeFGmbkHuztJeCcF51+1AWAdLAELAsPRFIpVACsE5KRhmh5QoCEAIKKh+2+csPkshOIvltwPB+L4QgBD4UqkucV5FfBZnIXCLoAu1oG0hBCzLn4pExGLKMjckRUEAQkBB9es+T1IGhLpTgAUEjAhACIwweWeUCCFS76JGwF8jYCYEx8vXAsTAfyKwlROC/Z+OxEEhErgc66yjT7k3evHJCvvdIRCLxJ1gEInrBG4n+GchKF3PBPE9EbjOBMT7iQhW3hAoTYWgQFe9wejarnKjbhEkG6i3a5VxNZ7N7cmzjzOC6nByNQfE9UogT8V8d1rNRJq/7sI6CPxA4HS4bfwsBFX9/PoPPrDJNQJlKucCajklI8wJXKuOi/E8vpJiIATVDjehXSzivzFtxEYsayWYi/m/u7EFBJ4J7B9fTTMRguqyyp4dYM1JAsm8XNZKsBQjfHLgZIlcCipbtZ4NMBKCqjqs97jqdKmIP8VyFfuyVoKlWO3xbYOfEGGbJpDv1/r2QL3JUAiqKt9vsLhNYCmO8rpgKcZiVR7F0u1gEd13Cbz+YTcWAq0keHWWQD0jKMuxGJclZgTOlsnNwCAEbtblT1HJewTNjGBZznCP4E8Igz0IQsCo9BtxklcGK/n/uVgzygup0BOAENAztjaCfI5gLnWgLOcixnME1rCzGAhCwKKMtyTykRjtTruZ/E2C5jtlnJJDLpQEIASUdK37Lue37xpAB6yz93tACIHf9fs3+utZ/Zw5FhDoRABC0AmXF8YQAi/K5FaQEAK36vG3aDZP3wZ5EYLnnXKA7eMJ878Nh6P4EYAQeFfTxdMvRNRrs2U7ixcheN4pDWf4QlIbF94rAhAC7/pgsmiH/LxW73kRgrZ1/R5C8A8SbIAQONUDx/ok361lUMfJaKq+HbYZpft6Mn/bsBXxdJqfZ6N0KX9cplnbqMn+bpzM1L9rsha7NG3N/tXO9f62TXmrheDmrZjJ350pZ/JDBj1eJj3P8Q0zCTKoBULgVLmvkfrCt/rRwd1gc1oNsmo13B0n6tcF9IbLaHI4lJvN6ZjKXy1v1tS0YDvYHCdDqQ1jMTuuo8fvSqmdettmsD2O296kbBTVbPRwXw0Xp+MK/1CSU21hIRgIgQXIHYZI5dX+KZKn83Arj5rPqoH8e14OpRDoDdX9YqBQqlGvqf8M1a0DsVInvXwzlltuSy0E8lRX25STctD2Vo3H24E877X7a4TZgCYX0iuEwK1q74byZt6kqrJosVqtxkkWqT/Ok/l9w+3UL+S+JJIzei0EzVxiLg+thWDx+EfPaiFQurCYXmtv47a3qhCR/GK6Hq+qknj5mE24BQfR0BGAENCx/YvncnAsB/LEvETLtVy2dyHQG26n/mhyyjJ1BmshaAwXYy0EUhFuSy0E6mOFxSSr/9xP53f3cqsUAnniP9yXu+kgxqWBphfKK4TAsUrPpmpSUBXqJJdLWb/Kq3q9oTn1c/Wn/doWglJND6pUzvqbGcGPQtAYxW1v8tJgJW8TPNyrQZOnjyNVHFiYE4AQOFbgYzSqL+9nsbwBkJ2qeXzOF+qqXm+oFmlRltG2KsdKCNRaPS2YJXm1jy5vhaCajopqG7W9qZuFqVQN7T6X04MifnpUwTFCCIeCAISAgur/8SnUySz/Ks+j4WC4kx/tDYbLqfwLrTdU13QQZdtIDDbqGqJeU7P/IpUHqBP4zYygykfRcCwvDe7ezuq6IJc3GrX7bBiJaFr+nwxwrIcEIATOFq3Mch1brD5CqFob1Mo/J2t+26Q+Nfh1uerL/ydvylxvyLPi16OxgysBCIHjlb3sssts+M9J/y7qt0Lw7kDsC5cAhMDx2mfjOJ7qv+JmsTZCkE+b5T6tMDsYVmESgBDwq3sjBOWxWTpNJvjBQEZmBCAEZpx8ssKlgU/VciRWCIEjhegxDAhBjzBDcQUh4FdpCAG/mpJnBCEgR2x9AAiBdeT+Dwgh8L+GrxlACF6JYP0jAQjBR0TeGUAIvCvZ9wOGEHy/Bn1HACHom2gA/iAE/IoMIeBXU/KMIATkiK0PACGwjtz/ASEE/tfwNQMIwSsRrH8kACH4iMg7AwiBdyX7fsAQgu/XoO8IIAR9Ew3AH4SAX5EhBPxqSp4RhIAcsfUBIATWkfs/IITA/xq+ZgAheCWC9Y8EIAQfEXlnACHwrmTfDxhC8P0a9B0BhKBvogH4gxDwKzKEgF9NyTOCEJAjtj4AhMA6cv8HhBD4X8PXDCAEr0Sw/pEAhOAjIu8MIATelez7AUMIvl+DviOAEPRNNAB/EAJ+RYYQ8KspeUYQAnLE1geAEFhH7v+AEAL/a/iaAYTglQjWPxKAEHxE5J0BhMC7kn0/YAjB92vQdwQQgr6JBuAPQsCvyBACfjUlzwhCQI7Y+gAQAuvI/R8QQuB/DV8zgBC8EsH6RwIQgo+IvDOAEHhXsu8HDCH4fg36jgBC0DfRAPxBCPgVGULAr6bkGUEIyBFbHwBCYB25/wNCCPyv4WsGEIJXIlj/SABC8BGRdwYQAu9K9v2AIQTfr0HfEUAI+iYagD8IAb8iQwj41ZQ8IwgBOWLrA0AIrCP3f0AIgf81fM0AQvBKBOsfCUAIPiLyzgBC4F3Jvh8whOD7Neg7AghB30QD8Ach4FdkCAG/mpJnBCEgR2xzgKsarBaC+p3NoTGW1wQgBF6X7zX43VluUUJw3r3uwjoIvCEAIXgDx79dRSKVQArBOSn8Cx4Rf5EAhOCL8AmGnomzFIKzWBL4hkvGBCAEvIp7FfFZnIXALQJedSXPBkJAjtjuAGMRy/9N7Q6K0bwnACHwvoTPCZyEXNSdAiwg0IEAhKADLC9MEykEqReRIkiHCEAIHCpGL6Hs5IRg34snOAmIAISAXbFjkbDLCQlRE4AQUBO27n8lNtbHxIC+E4AQ+F7B5/gv6+lIjKbry/NmrIHAewIQgvd8/Np7nky2WX7Js+1kgg8O/Krdl6OFEHy5AH0Ovx6f7u5O4/X9Pd6AwCcCEIJPhPzZP5+XrWDL+by1hrcg8JYAhOAtHp92rl9P/DnmBD7V77uxQgi+y7+/0c/jej5wWYzidFnfKyzHuE/QH1/mniAEXAo8qe8PrJIkjuN0tFJpnSZckkMe1AQgBNSELfm/1Cf9UsmAWsYrNe4EnyJawu/9MBAC70vYJLDeyteL1oE4HikN2K6ZZIc0qAlACKgJW/Jf//GfNdMB9d/RQg7cTBMsRYBhfCYAIfC5eq3YU/XbZI8JgVQCuV7ga4gtRHj7hgCE4A0cn3bVXzR6TAjkOxU9vn7kUw2/GSuE4Jv0exwbM4IeYQboCkLApOj1PYLpY0qQ4B4Bk8raSQNCYIcz+Sj1pwbnlhDgUwNy5pwGgBAwqWbzAcFcK0GyUnnhOQIm1aVPA0JAz9jOCM2ThbcPEJP63zXAk4V20HMYBULAoYoqh9t3Dc7TJE5m9ROF+K4Bl9payANCYAGynSHw7UM7nHmOAiHgU1f8HgGfWlrPBEJgHTndgPiFIjq23D1DCDhVuPnNwgq/WcipqHZygRDY4WxrFPkrxmmc4leMbfFmMw6EgE0pkQgI/J0AhODv7HAkCLAhACFgU0okAgJ/JwAh+Ds7HAkCbAj8B/b0hqyrIOWcAAAAAElFTkSuQmCC", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -604,7 +329,7 @@ "id": "9413d052", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -615,9 +340,9 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -625,7 +350,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -762,7 +487,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "bb9e34fd", "metadata": {}, "outputs": [ @@ -774,7 +499,18 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"indexes\": [\"ndvi\", \"ndwi\"], \"item\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"indexes\": [\n", + " \"ndvi\",\n", + " \"ndwi\"\n", + " ],\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " }\n", + "}\n", "```\n" ], "text/plain": [ @@ -822,38 +558,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "11d19a38", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"vegetation_indexes\": [\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-dlyiom/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-9urqt7/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - " ]\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -902,7 +631,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -916,7 +645,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-6.ipynb b/docs/pattern-6.ipynb index e414d3e..8b60671 100644 --- a/docs/pattern-6.ipynb +++ b/docs/pattern-6.ipynb @@ -41,22 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:49:34.737\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-6.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.738\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-6.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:49:34.763\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.764\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.772\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.788\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-6...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.789\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.790\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:34.790\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-6.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:35:43.341\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-6.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.341\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-6.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.351\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.351\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.352\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.352\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.803\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.803\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.804\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-6.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.804\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-6.cwl - uri: ../cwl-workflow/pattern-6.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.804\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.804\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.805\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.805\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.805\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:43.805\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-6.cwl successfully load!\u001b[0m\n" ] } ], @@ -89,92 +89,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-6/aoi\n", - "\n", - "pattern-6/aoi\n", - "\n", - "\n", - "\n", - "pattern-6/step\n", - "\n", - "pattern-6/step\n", - "\n", - "\n", - "\n", - "pattern-6/aoi->pattern-6/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-6/epsg\n", - "\n", - "pattern-6/epsg\n", - "\n", - "\n", - "\n", - "pattern-6/epsg->pattern-6/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-6/item\n", - "\n", - "pattern-6/item\n", - "\n", - "\n", - "\n", - "pattern-6/item->pattern-6/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-6/mean\n", - "\n", - "pattern-6/mean\n", - "\n", - "\n", - "\n", - "pattern-6/step->pattern-6/mean\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.483\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.484\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.484\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.485\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.538\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.543\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.543\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:37.544\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.584\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.585\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.586\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.586\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.587\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.651\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.660\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.660\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:38.661\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.868\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.869\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.870\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.870\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.871\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.871\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.871\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.872\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.872\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.872\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.873\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.873\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-6 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.873\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-6/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.874\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-6/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.874\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-6/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.874\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.875\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.875\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.876\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.876\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-6 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.876\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-6/mean: float\u001b[0m\n", - "\u001b[32m2025-09-05 14:49:39.877\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0040 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:35:45.315\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.369\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.373\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.373\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.374\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.374\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.786\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.786\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.844\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.847\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.848\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.848\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:45.848\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.275\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.275\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.276\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.276\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.277\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.277\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.277\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.278\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.278\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.328\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.333\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.334\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.334\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.334\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.813\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.813\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.814\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.815\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.815\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-6 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-6/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.816\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-6/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-6/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-6 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-6/mean: float\u001b[0m\n", + "\u001b[32m2025-12-03 10:35:46.817\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0017 seconds\u001b[0m\n" ] } ], @@ -372,116 +302,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "NDVI mean\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/mean\n", - "\n", - "main/mean\n", - "\n", - "\n", - "\n", - "main/app->main/mean\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item\n", - "\n", - "main/item\n", - "\n", - "\n", - "\n", - "main/item->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -495,7 +322,7 @@ "id": "1fab18a5", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -506,9 +333,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -516,7 +343,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -645,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "dea8daf5", "metadata": {}, "outputs": [ @@ -657,7 +484,14 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"item\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " }\n", + "}\n", "```\n" ], "text/plain": [ @@ -704,29 +538,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "e9498556", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"mean\": 0.07260978\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -775,7 +611,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -789,7 +625,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-7.ipynb b/docs/pattern-7.ipynb index 22d3024..aeff6a2 100644 --- a/docs/pattern-7.ipynb +++ b/docs/pattern-7.ipynb @@ -41,22 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:50:31.290\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-7.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.292\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-7.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:50:31.321\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.322\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.328\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.343\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.344\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-7...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.345\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.345\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:31.346\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-7.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:36:42.255\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-7.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.256\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-7.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.267\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.267\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.268\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.268\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.491\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.492\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.493\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-7.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.493\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-7.cwl - uri: ../cwl-workflow/pattern-7.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.494\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.494\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.494\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.495\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.495\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:42.495\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-7.cwl successfully load!\u001b[0m\n" ] } ], @@ -88,116 +88,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-7/aoi\n", - "\n", - "pattern-7/aoi\n", - "\n", - "\n", - "\n", - "pattern-7/step\n", - "\n", - "pattern-7/step\n", - "\n", - "\n", - "\n", - "pattern-7/aoi->pattern-7/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-7/bands\n", - "\n", - "pattern-7/bands\n", - "\n", - "\n", - "\n", - "pattern-7/bands->pattern-7/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-7/epsg\n", - "\n", - "pattern-7/epsg\n", - "\n", - "\n", - "\n", - "pattern-7/epsg->pattern-7/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-7/item_1\n", - "\n", - "pattern-7/item_1\n", - "\n", - "\n", - "\n", - "pattern-7/item_1->pattern-7/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-7/item_2\n", - "\n", - "pattern-7/item_2\n", - "\n", - "\n", - "\n", - "pattern-7/item_2->pattern-7/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-7/water_bodies\n", - "\n", - "pattern-7/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-7/step->pattern-7/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -325,68 +222,77 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:50:32.305\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:50:32.367\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:32.376\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:32.377\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:32.378\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.244\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.245\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.245\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.300\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.306\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.307\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:33.308\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.091\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.092\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.093\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.093\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.143\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.156\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.156\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.157\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.953\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.953\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.954\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.955\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.955\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.956\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.956\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.956\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.957\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.957\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.957\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.958\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-7 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.958\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-7/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.960\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-7/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.960\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-7/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.961\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-7/item_1: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.961\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.962\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.962\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.963\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item_1' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.963\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-7/item_2: [ null, Directory ]\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.963\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_1'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.964\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting [ null, Directory ] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.964\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m [ null, Directory ] converted to [ null, https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI ]\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.965\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m186\u001b[0m - \u001b[1m Nullable detected, 'when' required for reference:item_2\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.965\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item_2' to 'directory_stage_in_1' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.967\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-7 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.967\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-7/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.968\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.969\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.969\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.970\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:50:34.971\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0133 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:36:43.481\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:43.678\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:43.683\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:43.683\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:43.684\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:43.684\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.346\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.347\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.348\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.348\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.348\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.349\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.349\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.349\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.349\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.538\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.542\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.542\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.542\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.543\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.964\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.965\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.965\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.965\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.965\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.966\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.966\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.966\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:44.966\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.261\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.267\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.267\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.268\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.268\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.718\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.718\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.719\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.719\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.719\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.719\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.720\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.720\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.720\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.720\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.720\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.720\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.721\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.721\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.721\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.721\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-7 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.721\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-7/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.722\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-7/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.722\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-7/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.722\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-7/item_1: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.722\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.722\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.723\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.723\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item_1' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.723\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-7/item_2: [ null, Directory ]\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.723\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_1'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.723\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting [ null, Directory ] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.723\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m [ null, Directory ] converted to [ null, https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI ]\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.724\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m197\u001b[0m - \u001b[1m Nullable detected, 'when' required for reference:item_2\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.724\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item_2' to 'directory_stage_in_1' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.725\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-7 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.725\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-7/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.726\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.726\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.726\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.726\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:36:45.727\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0056 seconds\u001b[0m\n" ] } ], @@ -408,242 +314,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "Water bodies detection based on NDWI and the otsu threshold\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_1\n", - "\n", - "main/directory_stage_in_1\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_1->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/water_bodies\n", - "\n", - "main/water_bodies\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/bands\n", - "\n", - "main/bands\n", - "\n", - "\n", - "\n", - "main/bands->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item_1\n", - "\n", - "main/item_1\n", - "\n", - "\n", - "\n", - "main/item_1->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item_2\n", - "\n", - "main/item_2\n", - "\n", - "\n", - "\n", - "main/item_2->main/directory_stage_in_1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -657,7 +334,7 @@ "id": "1bc616b1", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -668,9 +345,9 @@ "outputs": [ { "data": { - "image/png": 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hVRan3R+3Uj5oQf5enos3BNSPtgRNSFWJWdD7soNuvQ9UsjbdWKA0RR8tyjKxFksTi+Rns4Ltsu3X/vPMdnG9jRvlRqOOuwmf4m6iKzd/s6qX3Sdri0sWlQYLkPZgs6j+2XhUx1S5bENoYioTbmc5oI3NRrXNpjmJh7Jgp3StRllwvuiUL/NqLhxCAdphE0y1cZvzpnUi4MAQBKInQA0xSdEHjQBBAARAAARAYOEEtFrj/d3X5ZJ91B3uI3vBsOwzeui+s6cX9mCvOpW3vOfsL7++n1bbH7pPFtZ0VhRd5OMd8/HLhPLd0axRy8/ZueyVG6fltwAxNS4CapAKI9yhYsw92siapBqL5LiKmVt1a1DwKJm0CZVmD89sYRlda0CrNW5iq75Pu6RS/MKAQajA1zG3zvjv3S50mqyoEg2kykIbT1coDpWHW8OKLE7bokg3H12Qd6xm9aMtQRPSd1liFvRhVbxi2XofqGRturFAaYo+WpRlYi2WJhbJz2bFx/p3dX16fCle+e9mkueNRh13Ez7FXavzq3rZsdelf8o3VVdBsABpDwpxNR7VMVW+2hCamMqE21kOaGOzUW2zaU7ioSw6RWqz4HzRKV/mVW9f2pdVgm09mmAqhea8ocAFHhiCQOwEqCEmKfaYER8IgAAIgAAILJ2ATmtcfOqSvaD1kV/ZK8d5XnzfU9ln9Nj9MZ3qcSzeb/u+KgfX3dO1PCD5rHFnRd0aVz62xavGlQ3eaXsv3Y2gvJPeF0s0WuM6sjapxiI5ZlGzmKtENP8voikjahMqzTa3+B0rOq1xG1vbSbQQqrTrmFtndeK1m0KnyaqhyMr2zA4zSJWFTkQkFofKw61heRb3G63OuDDcgrwruFePdnM0ITXu2BuqV+y17Wao2ma1mcJ0Y4HSFHwQyjKxFkutJvnRrvjL2K8ivnbH50qpzSTvaJT7vYm3+Vnq1+q0ipVEyI59UdVT8fmA+sEC5PZgM89+djwqYiqUma82hEYoE24GHNCOzeqsrbVIuTJZWy5+FI86i06R2iw4X3TKt3kVFw6hAM2wDaZSaM4bLpbKP/4HgTQIUENMUhqRI0oQAAEQAAEQWC4Bndb4mr3l12PR3d7vfvN/xQtdZZ/Rp3a/ZW+cvLC3zhbav9un/JfJf9vX/GF7/n0sPkAsPmhF3Rrnp/1f/pYVd9G1Dc5pcy+dPx7+ro2xp+0f+w6h5sZbFVyl3Vhtk2otNo6bmBvrOj8LHlVETUKl2eYWvzFxZS++v15+m6HqZxsbdRINhMpJE3PjrNJrzBXBNBotxbyB1AXXrKh/ambxsPq8XC5/wuL+sAH59sNedWV7qHk0JWhDyss8zkXQ3+tnts2abaSMtTHdJEVp1k4aH4SytNViaWLp/6QV++yFNavF94017ipt0qjjrn+0cdfq/Kp+dqy9LD6Q2zwK+s0ebObqn+RRFVPjq0VXx1Qm3AbWPWvIJhf+uVUezqJVoyx4X+0pX+TVbF/al1VmTT0omHKmPW/adAQgGIJA7ASoISYp9pgRHwiAAAiAAAgsnYBOa8w61c3qtfgY6N8hWxev66m6z+sDO75mt/vHh/06O17zyzrbZKdrfr1frZ9OkldiaUXTGv/us/WxfEN1bYNz2txL5z+HVfkh5KKAf7tsdSqXlB6Ke3Hlo4msTaq12DhuYlaakBwoXFYRNQnxt/j1kq+seEh+QyCYbIG3wTUQKifNdOOs6jgaI0UwjUZbiRZSF1yzov6pmUWZRPYsLO4PG5AHtqD5pqpCqy1BW7frKVtnd2XQl/VT3qaljLUx3VpobdZhtOMWZWmrxdKPtp1pVzwVvwQ6FG99aNzVOq1GHXf9o427VhdWFb657FjHSF/CVZ1TzR5sgxE9qmJqfLXoOkjZ68nNedkFKmaRN9nUysNZkM02ixJuO9+e8sWuarYv7csqsbYebTDlTNsat4GLQDAGgcgJUENMUuQhIzwQAAEQAAEQWDwBrdY4v16uNanfVpKju1avibIb3J/i44XsBTd6eZF95a/kUa/oHKlXdm007jtanPhz85XYjnptn5JqjtUHujE3hwx+9hMyWFyr9mNjQckg3HRGFHMjSDcN6yRVF/+v90J5Q7oNSVC57b3ZV62FZsNVcVHaEpQ3QpetaNxVS0mjjrsJv4m7VudXtW4breoT0u10KTRk+NnOGUgHeOvNqDXexFQuaGdpecdmo1r/bJSHs2Drq7Ou/Ow4Z7c9G+mUl29fWkVIaa6QGif8LEYgEDsBaohJij1mxAcCIAACIAACSyeg1xobU2KdCff4fr98369lvR2nxg1EG9xBDDQJLJRiCmn/vNdfP6ZZyjjVVFnYnPJxZoioQMCCADXEJFmYwRIQAAEQAAEQAIGABDy1xqcXPofLcbs9VS8j8wcGRqKNnurvqXq0r1H1NCKZCBOo3MtNitqM5Pa1l+dj1+t4an24S5vctsZpSkNSr9pv39l69XEN4xar7fypV1VZ9GMdOuXV1vp2MAMCSRKghpikJBNB0CAAAiAAAiCwIAKeWuMgBK+f1cPsxeggofFOwgTq28tY+2PX80zlI68+7IzfWnXruDzRZtZ8tfmKwpfdqiZK8adba6J1jEEgAgLUEJMUQVgIAQRAAARAAARAYIBAyq3xQFo4BAIgAAIgAAJTEaCGmKSpYoFfEAABEAABEAABPQJojfU4QQsEQAAEQAAENAlQQ0yS5lKogQAIgAAIgAAITEQArfFE4OEWBEAABEBgrgSoISZprrkiLxAAARAAARCYCwG0xnOpJPIAARAAARCIhAA1xCRFEhrCAAEQAAEQAAEQUBBAa6wAg2kQAAEQAAEQsCNADTFJdpawCgRAAARAAARAIBQBtMahSMMPCIAACIDAQghQQ0zSQlJHmiAAAiAAAiCQLAG0xsmWDoGDAAiAAAjESYAaYpLijBRRgQAIgAAIgAAINATQGjck8BMEQAAEQAAEnBCghpgkJ4ZhBARAAARAAARAwBsBtMbe0MIwCIAACIDAMglQQ0zSMkkgaxAAARAAARBIhwBa43RqhUhBAARAAASSIEANMUlJBI4gQQAEQAAEQGDBBHRb4+u5+7jeImaoPmzOqTHOlTfL3gxz4ee5Xz8erfsy7cuuwF0+nNS5PCRxdvIQJw9AJIIxCHghQA0xSV4cwSgIgAAIgAAIgIAzArqt8XnTfZxv+TdUHzbn1Bjnyptlb4a58PPcrx+P1n2Z9mVX4C4fTupcHpI4O3mIkwcgEsEYBLwQoIaYJC+OYBQEQAAEQAAEQMAZAf3W+O2rebxtNFpjI/XhdM4bh8Y4V94sezPMhV+0xr7QFI48Wvdl2pddgbt8OKlzeUji7OQhTh6ASARjEPBCgBpikrw4glEQAAEQAAEQAAFnBPRb469r8/jSaY2N1IfTOW8cGuNcebPszTAXftG8+kJTOPJo3ZdpX3YF7vLhpM7lIYmzk4c4eQAiEYxBwAsBaohJ8uIIRkEABEAABEAABJwRQGts0PDrUw/VAPj149G6L9O+7GqVflLnWhH6/G1HIgHohQktEBhJgBpikkaaxHIQAAEQAAEQAAHPBNAaozVWbjGPrZ4v077sKhl1D0zqvBuIWp48xMkDULPBERBwSIAaYpIcmocpEAABEAABEAABDwTQGqM1Vm4rj22ML9O+7CoZdQ9M6rwbiFqePMTJA1CzwREQcEiAGmKSHJqHKRAAARAAARAAAQ8EBlvj72Pna6m7H2rtTKtEQ3WVmWreqTHOFVl+5OZHD8jw12hbQwb8+vFo3ZdpX3aHitAem9R5G8WgMHmI8gCO3/lrFfdrdZnDaAMSUewJy6ddaohJsjSFZSAAAiAAAiAAAoEIDLbGx882CsMXewzVWzdSQW1s7D2H2rI0EP1Jb4aLEDpZ8346B/RDHdDkrd/8WvIBS71Dvkz7sttLQDYx5Nx1bWT+NeaGQuSW+4pXFcDnkXOPAQhEQsD2TKB1JEWSEsIAARAAARAAARBQEBhsjTtP6ao7WoVZQ3WFlXpabawT4LAJxVG1ZcUC3WlvhosAOlnzfjoHdAMd1OOtozUehMUODvFyXZtbsSiOD4XILfEVrzIAXw65rDAAAVMC9Wv3pss6l2lsbWN4WAACIAACIAACExFAa5zeZ407d1p8o9E54GQ78dbRGt+COsTLdW1uxaI4PhQit8RXvMoAfDnkssIABEIRoA1NUijf8AMCIAACIAACIGBHAK0xWmPlzlG2McoV2gd8mfZlVyuxIeeR3B4Phcjl6CteZQC+HHJZYQACoQjQhiYplG/4AQEQAAEQAAEQsCOg3xq/fTWPt83NFxDPGyP14djVxsbec6gtD0d082ht+LFApoHrpj1OoZM1n0DnALfAduAxi9J0icctoCrkyrBz8Lc48tXgTxLXtbkVi+L4UIjcEl/x8gHUXxhWePblkMsKAxAIRYA2NEmhfMMPCIAACIAACICAHQH91rj7tbf8Xb/E87mrfbuTlljoTKmNjb3nUFvuuLcRvRkugulkzfvpHLAJureGt36z6L31AxO+TPuyO5AKHRpy7ro25NVIGgqRM+QrXlkApS9fDrmsMACBUARoQ5MUyjf8gAAIgAAIgAAI2BHQbY2v5/KxqX5cbzkzVB82VxurXJ+7vm2/IaXxp7bcaAz8HHLuNH8xho5jPoEXUXPk2GMWpel6N525mo6LuQq5MdzdK+Psaq3mq8E77xRNy5YnpaEQOZe+4mUBlL82615I0Bpz6DGYBQFqiEmaRWJIAgRAAARAAARmTEC3Na4RGD7JG6qnxVkjOQ2VBHL2lkV6hhOoVvwhbtj7HrjSlwNuJv4kECEIDBOgDU3S8AocBQEQAAEQAAEQmJoAWmPrCmjc8GioWLsPt9BbFukZDgd9xp7KV427+ZX7wNtm6HqCDAKmBGzfP0EbmiRT39AHARAAARAAARAISwCtsTVvjRseDRVr9+EWessiPcPhoM/ak1D4cijMzTp/JJcQAduNSetISihthAoCIAACIAACiySA1ti67Bo3PBoq1u7DLfSWRXqGw0GfsSe8ajzj4s4vNdurFK0jaX50kBEIgAAIgAAIzIsAWmPremrc8Ni+F886Ji8LvWWRnmEvfJdmFJ81XlrFk85X4zovzY/WkSRVxCQIgAAIgAAIgEA0BAxbY8NmxlA9GipageCGRwsTlECAJ4BXjXkeGEVNwPY6T+tIijpRBAcCIAACIAACIJAbtsaREZu09Z7MudKx8kBkZVtiOKnVxmu8Qq9QDoW5Je4R5BwjAduNSetIijE/xAQCIAACIAACIEAE0m6Nl3nPocxaeYDqHUx6vn8P5isFRzHVRoeX13jL1407/xUBeXWokzF0QEBGwHZj0jqSZPYxBwIgAAIgAAIgEA8BtMbx1EI3EuWdlvKArmWHervs3qG19E3FVBsdmsHjDe5QhwJ0QMD2/RO0oUkCTRAAARAAARAAgbgJoDWOuz6y6JR3WsoDMiue5z7/nT17SMt8TLXRIRc83uAOdShABwRsCdCGJsnWFtaBAAiAAAiAAAiEIYDWOAxnl16Ud1rKAy69C7aeTm//DofP/GV/V/TC76fD7vD8l+dsvvzv87h/EZYscjhFbcaADh5vcIdj6GAtCNwiQBuapFtrcBwEQAAEQAAEQGBaAmiNffK3fS/ecEzKOy3lgWF7t44OZrHN1hl7HNm/1W+eH1e7XZbt87x8Q/Uu2xQHVQZU87cCunncm+GbnpUKnmqj9Df2QPB4gzscSwjrQWCIAG1okob0cQwEQAAEQAAEQGB6AoatsWHPYahujCP2ew4/8SmtKg8Yg+UWDJrdZqvvS5atL+cse8/zb7byM8u+m9Y4+/rbZQfOHA0GDZOaueTNsHkozYoIQ2pCk/4MHm9wh9K0MQkCjgjQhibJkWmYAQEQAAEQAAEQ8ETAsDU2fJI3VDfO0XfrPRiQhnM/+SsdKw8M5nHz4GAW2+wuz9fFd25lGXvn9Pdpu2EvI380rfExzx+yrcLFoGHFGq1pb4a1vEuVPNVG6svFZPB4I6yZC46wsVQCtKFJWioL5A0CIAACIAACqRBIuzWelLLGDY+GyqQp6DkfzGJbdMXr7KlqjX9X2e7xIcv+Na0xO/iQqQyo5vXCGtDyZnjAJw6NI4CajeOH1ZERoA1NUmQhIhwQAAEQAAEQAAGBAFpjAYj+UOOGR0NF399kmoNZ8K3xR5b9Fm+oRms8WbVSdTy4y1JNCnGnT8D2/RO0oUlKnwYyAAEQAAEQAIF5E0BrbF1fjRseDRVr9+EWDmbBt8bsA8enF/bVW2iNw5VnJp4Gd9lMckQaCRKw3Zi0jqQE00fIIAACIAACILAoAmiNrcutccOjoWLtPtzCwSz41jh/Yl9U/YbWOFxxZuNpcJfNJkskkhwB241J60hKLnkEDAIgAAIgAAILI4DW2LrgGjc8tu/Fs47Jy0KjLP4uV+0gjAxrW2WK3gybBAFdIwIap5ORPSiDgBMCthuT1pHkJCAYAQEQAAEQAAEQ8EbAsDU27DkM1b1l6cUwbni8YIXRZRLA6bTMukefte3GpHUkRZ8sAgQBEAABEACBhRMwbI0jozVp6z2Zc6Vj5YHIyrbEcFKrTfB40T8s8bRIIGfbjUnrSEogXYQIAiAAAiAAAosmkHZrvMx7DmXWygOL3uJxJJ9abYLHG9xhHPsCUcROwHZj0jqSYs8V8YEACIAACIDA0gmgNU5vByjvtJQH0stxdhGnVpvg8QZ3OLsthoS8ELB9/wRtaJK8BAijIAACIAACIAACzgigNXaGMpgh5Z2W8kCw0OBIRSC12gSPN7hDVaUwDwIuCNCGJsmFXdgAARAAARAAARDwRwCtsT+2viwr77SUB3xFArvaBFKrTfB4gzvULh0UQcCCAG1okizMYAkIgAAIgAAIgEBAAmiNfcK2fS/ecEzKOy3lgWF7t46+bspHnUwKoyLUFOIsyEcaJ9tLYSPbBPYXOr85+rt15Vj0cboak7RoIEi+R0D/Dx32lmICBEAABEDAEwHD1tiw1zNUN84x9nsOP/EprSoPGIMNs8BbvN4M23OJMKTBZILHG9zhYPo4CAIjCdCGJklh8rytfvuI/5dGAL2x4pTANAiAAAhMR8CwNb75JM9nYqjOL9YY+W69B0PQcO4nf6Vj5YHBPKY76AcPy8ebYXtWqdUmeLwR1sy+2lgJArShSZJTOe/O8gOYnTWB8+7Wzph1+kgOBEAABCIlkHZrPClUjac1DZVJU5jYuTc83gxPDGzO7lGzOVd3gbnRhiZJigGdsRTL7CdZ3W/sjNkjQIIgAAIgECMBtMbWVdF4WtNQsXY/g4Xe8HgzPAPosaaAmsVamYXHZfv+CdrQJMlQojOWUZn/XFH34Z0xfwbIEARAAARiJIDW2LoqGk9rGirW7mew0Bseb4ZnAD3WFFCzWCuz8LhsNyatI0mCEp2xBMoCpsq6D+6MBUBAiiAAAiAQIwG0xtZV0Xha01Cxdj+Dhd7weDM8A+ixpoCaxVoZWVy2L6XKbEU+Z7sxaR1J/VTRGfeZLGGmqvvQzlgCBeQIAiAAAjESQGtsXRWNp7UF3UDaYPSGx5thmyyxRouAxumkZQdKIQgsqFq2qdI6knqlQWfcQ7KIibruAztjERiQJAiAAAjESMCwNTbsOQzVYwSkjglPa2o2OAIChgRwOhkCm1R9QdWyTZXWkSTWDJ2xSGQZ46bu6p2xDA7IEgRAAARiJGDYGkeWwqSt92TOlY6VByIr2xLDSa02wePFXWJKp8WCqmWbKq0jSShx0yEJ0xjOnEBbd+XOmDkApAcCIAACMRNIuzVe5jOLMmvlgZh34EJiS602weMN7nAhG89Pmguqlm2qtI4kvhhth8RPYzRzAlR31c6YOQCkBwIgAAJRE0BrHHV5pMEpn0+VB6RmMBmSQGq1CR5vcIchqz87Xwuqlu37JwgRSfw+2OCxTALnZh+odkZzHD9BAARAAATCE0BrHJ75WI/K51PlgbEesX40gdRqEzze4A5Hl3TJBlCtm9UnRCTxi1TzvBZGcyNAdSdpbjkiHxAAARBIlwBa4/Rqp3w+VR5IL8fZRZxabYLHG9zh7LZYyIRsX0oNGePEvmhDk8SHpJrntTCaGwGqO0lzyxH5gAAIgEC6BNAa+6ydnxtI5fPpZlM7fK3epxb76DWROHMHcbKiObDCNiusJLbLJ6iYz2sabGsSoMs0SfxS1TyvhdHcCFDdSZpbjsgHBEAABNIlYNgaG/Z6hurGGGN/ZvETnx+rxvDHL/CWiDfD9jlHGNJgMsHjDe5wMP2kDwJlDOWjKpDEx6Wa57UwmhsBqjtJc8sR+YAACIBAugQMW2PDS7mhujFG3633YEAazv3kr+F4MPBoDvrBw9LzZtgeXWpFCx5vhDWzr/a0K4FyWv6Vd6oCSXxcqnle6/Lxr/3aJv6Iyej9/inPf74v1Zrn+3fp4u/m8Ss5TIt+viWHtabIhkydO0oDkmSLzOfU9kpK6sM6rjTYUN1J0jENHRAAARAAgRAE0m6NQxBS+tB4WtNQUZpfwAFveLwZXkBRpkoRNXNGHiidoRxhiKpAEm9ONd/VOu8y9lh/deds5Idsm+fHbF2t3WX3UiOrwlnxeJEcpkWnleTwjamX3R3TIBsyde4oDUiSLWrnKg/tUC2o7ZWU1IeZyZtONNhQ3UlSR4sjIAACIAACYQmgNbbmrfG0pqFi7X4GC73h8WZ4BtBjTQE1c1YZoHSGkhmyff8EVYEkPi7VfEfrzNrUu6fT6r0zZyXyrfGn4oXo436/ybL9fv9P4oRaRo32r7e+DOBGa8yFRe646Z7hdqLy0A7VgtpeaUJ9mJm86USDDdWdJHW0OAICIAACIBCWAFpja94aT2saKtbuZ7DQGx5vhmcAPdYUUDNnlQFKZyiZIVuatI4kPi7VfEdrn2XFC8bXnzz/PO32j+xn/nR6+3c4fOYv+zv2Tmt+lL+fDrvD8185/3ncl6/+vuwPH2VL175qzBZxGsx2uaiwnmXlu6lbd61j6lWL9o/3+3oqPFX/M4HCuDzs98env/xpm61OJ/Ya+H0TVeuAWarnyrCaFaQqRvuyP368n9gbxKtHvaD2QK4ZoEavkx9bI9qrzLSUmsMfB/Y6d7vy636/v780TloohTGmSPmjNa7Lgh8gAAIgkCoBtMbWldO4sdFQsXY/g4Xe8HgzPAPosaaAmjmrjO3rnAYBBHBhEI1XVduNSetI4gNVzZPWT5ad6tFLlrG3O6/Zh4W32bp4z/OR/Vv9CqP8uNqxt2Dvi7cus9d/s4wV6rH4uem/oZo0XrJsu862rKFuW2M2VbtrJWqN3x/FKD7KhnqVsY67fDRh/K2zzW6VXVg4xeOd81k7oLnCQ2dFk0DpmLQon9JVs6D2QARIj6XQ5sfWCPaqiEm7Prxli/J25SuLfpX9a5yw+Tb6QpHyL9jceFDdSbqxBIdBAARAAASCEUBrbI1a42ltQTeQNhi94fFm2CZLrNEioHE6admBUggCC6qWbaq0jiS+NKp50vpqP/X7WzTJP+uMvZDJXn/9vhRdMnu39bswyosvyPrMsu+iF/3622WHvFx5WclaY9J4KVrS58Jx9aoxuSOpbBkLlfLBR5Fv2MeTmd+//MoeeRvGOVux0fkv/7vPtr+/Vz6qKp92ruxZ2xX8tDSf0lezoPbQuqa8mdTkV66oe986+ypi0m465+z58tWuZMLhL79caieldhs9U6T8Gz4DP6nuJA2o4xAIgAAIgEBQAoatsWHPYageNPPRzvC0NhohDIBAQwCnU0MihZ8LqpZtqrSOJL60qnnSYq3xczX6yDL27umHbFW0xqw/XhdfpFW0fPwo/z5tN+xF5Q/W4B2rT8ayhpWtvJO1xrUGs313Oq1ZG80eVWtM7kgSW+NuFOzl1W1+z7r34sPR2bUNg/WQ68Nj8Z7w6kO6bVRkliItm9J2Rava9KpcPifmr/LVLqg/BtwQqPIu9Ci/akXdGtf2qrkOpfowe+WdVjIT1TehVU646AvFNv9CvvWgupN0aw2OgwAIgAAIhCJg2BqHCkvTz6St92TOJ3OsWRWoSQikVrTg8eIuUbJrop1aULVsU6V1JPH1VM2T1h9733Q1+le8Ely8N7pojVlXvM7YZ22r1rg7+l1lu8eHLPtX9ZMP2aZo79hK9qKt+A3VZQtYaDDb2+JRvne7ao3JHUlia9z1m/+tss8Vax/rdrUN4+vI3njMOvW2NWarap9NPm0cVczNCmG6HVb5UGucNwuqrrUlQHqUH9ca15FUcx1KpafyPyJTUWClqJwQlCrmvM2faqeWqO4kqbVxBARAAARAICyBtFvjZT6zLDPrsOeFc2+pFS14vMEdOi/xkgwuqFq2qdI6kvgtoprvaN1l5cd32Z8bLoV9thtujVmH91u8sbnTGrP3XrPfc20HWmNm+5P5vJZfv1W1xuSOpKpbbILjG/Sy32Vddv2gMNjE7y57KLr64mjb4JJZmmvazGpFq1pNt0P2+eun4u3frNVvH6WLykPrmvS4/JogWnuVkQ6l8kj5X96uZMIzU7zWaYjRs0Os36f8K5uq/1tM1l/xprKMeRAAARAAgfEE0BqPZxjaAj2zhvYMf9YEUita8HiDO7QuJRbaf21zguxs3z9BG5okPn3VfEeLfZ412xy37DPFh2z1cCg+XDz4qjF7CfT0wr6+qtMas5XZ/b74Tin2d43Lx7PQbBZ/7/jp5WFdZlq1xh13reOqW2yCE1tj1i02b/5mHy5uwrhsHl9fyk8xv7EvBzuwFrZ+rbbjgOYKqV3BT3ca6BPLZVV+drqMpV1QeWhd56TXzY+tKS2T+SojokSHy9fZKzIM3fGR/U2ryokYPTPB5V+ZVP1PdSdJpYt5EAABEACB0ATQGocmPt4fnk/HMwxuIbWiBY83uMPgW2BODlGtm9UkRCTxi1TzXa3f++INyYfv/I91etm6+AZovinlR8VHhVesfeu2xj879lni+g3VZWv8JDaH7Mul2GNffpq2bo3JXSuVLWMbm+A3Lzrwn/ZoE8bvtrB8Yl/FdWUfZs4u1JC2ZjtNb3G0XUGqpUTDv/vV+vlUvH5ePtoFlQciQHrd/NgawV5lhijRYfY+6YbMlb1LvXhxvXYiRF+Y4PKvbCr+p7qTpFDFNAiAAAiAQHACaI2DIx/tEM+noxGGN5Ba0YLHG9xh+D0QyqPt65wG8QVwYRBNlKq0oUniA1XN81r5z4V1luxxvVDrKah0hn+1dmcqv5Rvle7OiDKzXTmhA+SOJDral56aj0WXh9ow/i6SgEoVlVn1isppkcx1U7z8XD+EBY3rrp4kv2Z1+1NOqV155RPpRc/n31qVCFR3kiRqmAIBEAABEJiEAFpjn9j93EDO5vnUDx5WUG+G7TdLakULHm9wh/a1jH0lUMZQIaoCSXxcqnleK43Rx0PxJVxBHq+b0/0mW7G/8Dz80NUbtqJ51CR/qjtJmm6gBgIgAAIg4J2AYWts2HMYqhtnG/szi5/4/Fg1hj9+gbdEvBm2zznCkAaTCR5vcIeD6Sd9EChjKB9VgSQ+LtU8r5XG6CGrPqocINqv/Spbn252xrmunpOQTfKnupPkJAgYAQEQAAEQcEDAsDU2vJQbqhvn47v1HgxIw7mf/DUcDwYezUE/eFh63gzbo0utaMHjjbBm9tWediVQTsu/8k5VIImPSzXPa2E0NwJUd5LmliPyAQEQAIF0CaTdGk/KXeNpTUNl0hQmdu4NjzfDEwObs3vUzFl1gdIZyhGGqAok8eZU87wWRnMjQHUnaW45Ih8QAAEQSJcAWmPr2mk8rWmoWLufwUJveLwZngH0WFNAzZxVBiidoWSGbN8/QVUgiY9LNc9rYTQ3AlR3kuaWI/IBARAAgXQJoDW2rp3G05qGirX7GSz0hseb4RlAjzUF1MxZZYDSGUpmyJYmrSOJj0s1z2thNDcCVHeS5pYj8gEBEACBdAmgNbauncbTmoaKtfsZLPSGx5vhGUCPNQXUzFllbF/nNAgggAuDaLyq2m5MWkcSH6hqntfCaG4EqO4kzS1H5AMCIAAC6RJAa2xdO42ntQXdQNpg9IbHm2GbLLFGi4DG6aRlB0ohCCyoWrap0jqS+NKo5nktjOZGgOpO0txyRD4gAAIgkC4Bw9bYsOcwVE8LI57W0qoXoo2aAE6nqMsjBLegatmmSutI4imq5nktjOZGgOpO0txyRD4gAAIgkC4Bw9Y4skQnbb0ncz6Z48iqn1Q4qRUteLy4S0xpPy+oWrap0jqS+BKr5nktjOZGgOpO0txyRD4gAAIgkC6BtFvjZT6zLDPrdM+xMvLUihY83uAOE99Q04a/oGrZpkrrSOKLpprntTCaGwGqO0lzyxH5gAAIgEC6BNAap1c7PJ+mVzPr77mdKtXgmyy4w6nIzsLvgqpl+/4JQkQSX3vVPK+F0dwIUN1JmluOyAcEQAAE0iWA1ji92uH5NL2aoTW+VTPs6luEYjqOat2sBiEiiV+kmue1MJobAao7SXPLEfmAAAiAQLoE0BqnVzs8n6ZXM7TGt2qGXX2LkPZx29c5tR3keQAXBtFEqUobmiQ+UNU8r4XR3AhQ3UmaW47IBwRAAATSJYDW2Gft/NxAzub51A8eVlBvhu03S2pFCx5vcIf2tYx9JVDGUCGqAkl8XKp5XgujuRGgupM0txyRDwiAAAikS8CwNTbsOQzVjTHG/sziJ75NjfV1Uz7SHTE8yefA9qxWDuVW0NIszwJoRrbLXz6o0v3r1Ou//lzgmTLAyqfksjM2wK/H+5/ACaXujqpAEp+Tap7XGjsKVbrOBpSEPHYDSkwmO0V1JynZZBA4CIAACMyOgGFrbHgpN1Q3puu79R4MSMO57/wH44v/oDc83gzbM9XYLfbGPawMHq9dzS7Z89ufh/Q7Jh9LFMendkqC5p6OtmokVBZo7FjqBShBOTLAAJgdQ5neHFWBJD4q1TyvNXIUoHS9DSgJeeQGlFhMd4rqTlK62SByEAABEJgbgbRb40mrofG0pqEyaQoTO/eGx5vhiYHN2b1dzd523pncPRYuOq2xscfKgvEy3QW9AI1R3gwwAGbdbJPRoyqQxAevmue1Ro4ClK63AY1DvrkBjS3GvIDqTlLM8SI2EAABEFgWAbTG1vXWeFrTULF2P4OF3vB4MzwD6LGmoFuzl39vh4c8/7zbn77z1936xDrXapDn1TEavR8O70W+n3e741v5s1gkfZzv94en4vXnl3/Nqvfjjr2L+G2zPZ1+WWtcT5P1Mo7K2Ctz0y5kUexLv0+f7Ojbe21B6lZ/0iDATZlkDcoyQE+Y9fONRlPyJgGt2GhDk8QvVM3zWsYjT6Uz2IDVWTZuAxqnnc4CqjtJ6USPSEEABEBg7gTQGltXWONpTUPF2v0MFnrD483wDKDHmoJuzY6bu4/P/H31+vW8upzvtzRgL+0Wx+pDxej+8yX7yvP37PnrH3vLc3tEwuD19evzcGAH2lVvq9fPu/Xf9/7u4+PaTrc2qjhqS8WrXu3C4+b0+ZqxTx/viq7q9FBbkDg1mTIIcMPI1DAaD8YBesLcxJPQT92NKaZE60jidVTzvJbxyFPpDDZgcWqO3YDGaaezgOpOUjrRI1IQAAEQmDsBtMbWFdZ4WtNQsXY/g4Xe8HgzPAPosaagW7Nj+RbqdfEi8MN9/rJnP5tBXh6jUXHsyJrW9UuVdHukGvb+/8uKG/p2VdHYbp7z+u2i9XRro4qjtlF2ns3C45bNPrEw69a4ttBzZz6hGeBrQaaC0fgwDvAG5tcO9CZvXcxNTIn81N2YYjq0jiReRzXPaxmPbpSue76Ylk5zA5an5sgNaJx2Oguo7iSlEz0iBQEQAIG5E0BrbF1hjac12/fiWceU1kJveLwZTotvUtFqnE5lPkWvm1+yx+fnZ9YDFK1xOyj7YH6UP57YcdbxdheVI+G/P2Ztl31WvXSx6qdc9XDXtMaF28eTYL0xUnaelQazwN7vnX9lV7etceAAb2DeCCB0MTfAEvqpuzHFlGgdSbyOap7XMh7dKJ1wvsznDDEGNdUCqjtJU8UCvyAAAiAAAiIBw9bYsOcwVBeDi3uMp7W464PokiKgezqV34f1nT29sMdb2Rq3g/K7svhR/niXf2fV3x2iIxIw+7uvyyVjf6GptM9WXcpVj8emNS6+g/rxjmxw38tVtsaVRt1cn7M/t61x4ABvYN4IIHQxS8jHPqW7McU8aB1JvI5qntcyHt0oHTsf6pOn3evzOEOMQU21gOpO0lSxwC8IgAAIgIBIwLA1FpdPPJ609Z7U+cTg4d6UQGq7JXi8uneJ5Y3/X9HEFo/iVeN2UN7q86OiNW5mmp/VSv7/36IR/um2xtfiJeScfeNX0fa2HXNho0Iz0Bofmf77ii1+ZsK+scDkEQ+TACs34wK8gXlDMEtNTcwjAEy2VHdjigHSOpJ4HdU8r2U8ulG69nxoN3U7Q0XtOw29AfsRzGaG6k7SbJJDIiAAAiCQPIG0W2M8syS/AZeSQGpbNXi8ug6rju9+y94kffmqPmvcDKpXwfgR69nycuZc/2SLJI9r9pZfj93WOL/f/eb/su/88fB3pS6C2doUjitfjSX+VWNm5nfLXkN+2v6xrwB7qC00unY/TQIsyYwM8AbmTQW1BaGJ2S73aVfpbkwxSlpHEq+jmue1jEc3Stc5D0pNzdKF3oDGaaezgOpOUjrRI1IQAAEQmDsBtMZzrzDyi4JAajdBwePVdVjd+F8fsvVq/V61xs2g6gb5UXHjfz1l66z4WS+SbYi3bLN6XXXeUJ3/HZgL9grxz2HFPnbcdBHMxqZwPNR5PuzX2ZG103+7bHU6PdQWZF4N5gwCLMmMDPAG5g3BbMhoYTZIOBZV2/dP0IYmic9JNc9rGY9ulK5zHhiVLvAGNE47nQVUd5LSiR6RggAIgMDcCaA1nnuFkV8UBFK7CQoer6nD6+WXCssNcn5UaP3Vyv0jrY3rhTWz/OO3P8UUrpuOY35BNWINx0/16eb854aqbLlqTj/ALhmZNZMAOWI0KKpFo8aJBuZGdf4/aUOTxGetmue1rEdcfbiBXemm2YDW6ce7kOpOUrzRIjIQAAEQWBoBtMZLqzjynYRAajdBweMd5fDn/S9cVW9FWr1qFy6enqdbr3M6CPCWi15My5ugbUIST0E1z2vNcORgA6ZMhepOUsr5IHYQAAEQmBcBtMY+64kbyEG63vB4MzyYzuDB1G6Cgsc7zuF5d/o3yN/hQYr091Q9+NeGTy8OndmYij5Am6SSW0NVIIlPQjXPayU9ivQMmZYp1Z2kaSOCdxAAARAAASJg2Bob9hyG6hSWphT7M0vs8Wli9qXmDY83w/YkIgxpMJng8Y50eN5utoFaUor0+lk9em/FHkTr/WD0AXonEIMDqgJJfFyqeV4r6VGkZ8i0TKnuJE0bEbyDAAiAAAgQAcPW2PBSbqhOYWlKvlvvwTA0nPvOfzC++A96w+PNsD1Tjd1ib9zDyuDxjq3ZebvfbB48v6+6/Ahxiab+MLEH8qNMlmGVKL0FSIZJGhXzTBfThiaJT1U1z2thNDcCVHeS5pYj8gEBEACBdAmk3RpPyl3jaU1DZdIUJnbuDY83wxMDm7P70TVj76nebDZ33z4hvbM/AVU+zu8+3djbLgMsUPoLMHoG9vScrqQNTRLvQDXPa2E0NwJUd5LmliPyAQEQAIF0CaA1tq6dxtMau1WvX317ZSJGBesOCUawM+KPYYT9UmwXgx3yVp5iW5+98d+26o3/7Ty/PF2mbvHf344FyM6rT38BRs/AAtvQEtv3T9DzA0m8H9U8r4XR3AhQ3UmaW47IBwRAAATSJYDW2Lp2eFqzRlcv9EbQm+GxGWO9ksDomp03m91h9+q3Zz1tit74ZfOkzGPiA3esed/k/3wGGD0DtyWw3Zi0jiQ+MtU8r4XR3AhQ3UmaW47IBwRAAATSJYDW2Lp2eFqzRlcv9EbQm+GxGWO9ksDYmp03u/3R+7dUXzas9XzZbKL9mO03C/D1n9cACwavMTNQ7jGrA7Ybk9aRxAegmue1MJobAao7SXPLEfmAAAiAQLoEUm+NJ3xDLntam9A723LJe2dvVUw+hznUIa0c5Bdb9prxffNBYLmGm9nDZvuwOd67MebDyn6ze94cvAbIGByiZuCUq237QutI4gNTzfNaGM2NANWdpLnliHxAAARAIF0Chq2x4eeuDNXTwointbTqhWijJqB7Osn1zrunMC/kfhYfaD6EaMItq/Vvs/UdYPQMLNHJl8k3nFy3O0vrSOoeLz8Tzk9gtAgCtB9IWkTiSBIEQAAEkiBg2BonkVOgIGfd9wdiuBw3qe2W4PHq3iVK9X7e/X7EuLNPd+zl6WNnHJ3IOuOj5wCjZ+CyKNINp+GA1pHEL1PN81oYzY0A1Z2kueWIfEAABEAgXQJojdOtHSJPiEBqN0HB49V1qKvna2+wjwDcef9I85jg2aeAfQcYPYMx/MS1thuO1pHE21bN81oYzY0A1Z2kueWIfEAABEAgXQJojdOtHSJPiEBqN0HB49V1qKvnbW9sjjtvtp0Y3uy9Bxg9AycgKyO275+gjUoSH5ZqntfCaG4EqO4kzS1H5AMCIAAC6RJAa5xu7RB5QgRSuwkKHq+uQ2Wncj13H1dfe+N6v3kiR97c2Id/vfMaYIm5ZRBh/vbk3K6kDU0S70E1z2u5G4U6Q+j0YBJ2SK+AVHeSekqYAAEQAAEQmIgAWuOJwMPtsgikdhMUPN7RDtl3VHce3r4oK5Ab+7PDc4CezdvnHdtK2tAk8TGq5nktd6NApQvkxh2X0Jao7iSFjgH+QAAEQAAEVATQGqvIYN47AeULgGM9ezNsH1hqN0HB4x3t8Lx5+2oebxuPrfFT4+XLoxv7nXbeeA2wwlyhjjJ/e3JuV9KGJon3oJrntdyNgp0hQU5Ed1xCW6K6kxQ6BvgDARAAARBQETBsjQ17DkN1VZCYnycBbzcG3gzb1yHCkAaTCR7vaIfnzde1eXz5bI2DuBkszuBBzxw8mx9MLamDtKFJ4hNQzfNa7kaBShfIjTsuoS1R3UkKHQP8gQAIgAAIqAgYtsaGl3JDdVWQcc6j7x9bF2/bw5th+4xT2y3B4x1ds0B35IHc2O80zwF6Nm+fd2wraUOTxMeomue13I0ClS6QG3dcQluiupMUOgb4AwEQAAEQUBFAa6wic3MeT2s3Ed1Q8EbQm+EbCeGwPYHRNQt0Rx7IjT1IzwF6Nm+fd2wraUOTxMeomue13I0ClS6QG3dcQluiupMUOgb4AwEQAAEQUBFAa6wic3MeT2s3Ed1Q8EbQm+EbCeGwPYHRNQt0Rx7IjT1IzwF6Nm+ft6+Vtu+foA1NEh+jap7XcjcKVLpAbtxxCW2J6k5S6BjgDwRAAARAQEUArbGKzM15PK3dRHRDwRtBb4ZvJITD9gT0avZ97HwLtSh2PwQsHnM41nJzePH2V2sGGRR5agVoD0TbvEcG9vvMeKXexuybpXUk8Vqq+Ty/WWLL6mmXztJ+vcy3m8Q3FtWdJH5nYAQCIAACIDAdAbTG1uzxtGaNrl7ojaA3w2MzxnolAb2aHT+VeoFerNJ08/N4r0x15IHj56ABzQAHbQwcNDDvkcFAgK4PKTfcDUe0jiR+iWo+z2+UmDejPTIonbZNiaJ/N4lvLKo7SRKOmAIBEAABEJiEAFpja+x4WrNGVy+0faviTb/eDN/0DAVbAnqn0yZX6vm/Iy9T03VzVQZqS6hZd8OwboCNOcOfJub9MTAMeoz6DdxK07SOJF5ZNZ+rNzlvwHBkUjpD0131AG7S3lhUd5K6ACGDAAiAAAhMScCwNTbsOQzVpwRh7htPa+bMsAIEFAT0Tqd0WmNP7Q2jd4OU587EyPyNUBVbIa5p2xxoHUl8Zqr5myXmzWiPjEqnbbWnGMKNGl0vnPgmKHiS4osSEYEACIDAUgkYtsZLxSTLe9Z9vyxhzI0gkNpuCR6v3l0iWuObfZPnzsTIvF5RR5xWAZba5kDrSOLDVc3fLDFvRntkVDptqz3FEG7U6HrhxDdBwZMUX5SICARAAASWSgCt8VIrj7yDEkjtJih4vHoOB1vjt6/m8bY5+6rueSNxI35rUeFcLyGLMG8YlgZo4UaxRGk+KANFcD6mb+BWuqR1JPHKqnlfe0dZOj6ssSPXbma3sajuJI2FjvUgAAIgAAKuCKA1dkUSdkBggEBqN0HB49VzONgad++hPbbGEjdC8OVQmBvYG4aHbhg+d+Nz/ysCpXkhLL8MDJGNUbd9/wTxIImPQzXvrzXubo2wZwifudFIwFQOhTkje5MrU/AkTR4UAgABEAABEKgJoDXGVgCBAARSuwkKHq+ew02u7FSu5+7D259OkrgpG47uHipz0Uuou0xTvmFYEqCmYS01hfnADLRCnVaJykQSH5Fq3ldrrCgdH9T4kVs3M9xYVHeSxmOHBRAAARAAATcE0Bq74QgrIDBIILWboODx6jnU0xqshPuDxUvZXGDlgJtx6dSb4TFBBmYwJtRAa6lMJPGuVfO+WmPeeyKjGW4sqjtJiVQDYYIACIDAAgigNV5AkWNNUfkC4NiAvRm2Dyy1m6Dg8eo51NOyL5PVysAvbIGBVZVCL6IykcTHoJpHa9zhFPjk6nj2JlLdSfLmDIZBAARAAAQMCRi2xoY9h6G6YexQT5yAtxsDb4btgUcY0mAywePVc6inNZiZj4NCWOVQmHPn1pvhcSEKYfllMC7UIKuJB0m8Y9U8WmOOk4CpHApznH70AwqepOiDRoAgAAIgsBgChq2x4aXcUD0t6uj7x9bL2/bwZtg+49R2S/B49Wqmp2VfJquVgV/YAgOrKoVeRGUiiY9BNY/WuMMp8MnV8exNpLqT5M0ZDIMACIAACBgSQGtsCIzU8bRGLOwkbwS9GbbLE6s0COjVTE9Lw51LlcAfhwQDl8XzZovKRBLvTDWP1rjDKfDJ1fHsTaS6k+TNGQyDAAiAAAgYEkBrbAiM1PG0RizsJG8EvRm2yxOrNAjo1UxPS8OdS5XAL2yBgcvi3bRl+/4JKhNJvDPVPFrjDqfAJ1fHszeR6k6SN2cwDAIgAAIgYEgArbEhMFLH0xqxsJO8EfRm2C5PrNIgoFezgT/epOHDm4oQfDkU5tz59mZ4XIhCWH4ZjAvVaLWQl/ZaWkcSv1g1j9aY4yRgKofCHKcf/YCCJyn6oBEgCIAACCyGAFpj61Ljac0aXb3QG0FvhsdmjPVKAno1K95eWT/e75/y/Pn+vRkH/Sn4LV/aKv5bswf7UcTSBuo6sI7hxTJwzXTAXgf3gFb/EK0jiddSzY/bO8LW5F3yJwypkiToWw7V9sy3bHty1UIRkhqdZcAhl1HwJIX0D18gAAIgAAJDBNAaD9EZPIantUE8Ggdt36p407Q3wzc9Q8GWgN7p1GmNH7Jtnu+y+wGHL7u7gaO9QwbqCr+njD3q3aeXUC+I2xMdwxEy+FgTgrQ7mLoSHdy3a9PRoHUkdQ4zUTU/dIS3wI3q7avYmrUqd5QGJHEmxYH2GaK2d3vL6jhRoxNDjnBMwZMUYZgICQRAAAQWSsCwNTbsOQzV06oBntbSqheijZqA3ukktsaf/84DWZW34QPHhUMG6nK/T1n2fJ9ln6VdvYSEEHSGHcNlxPJYGksGSRVLDNTlft82d+1vBwaavya8+H92cBsFS+tI4g2o5i1b47p06q608M4VjVS5aT7K7kh7d6jtlSbUh5k3HSdqdN1wI5UpeJIiDRVhgQAIgMACCRi2xgskpEx51n2/MmscsCOQ2m4JHq/eXWLdGr/sDx/lHfTT6S3P2X8fB/b68Odpd3j+Y/X5ut/v7y/50zZbnU7nYn7/+MPmK8XX0wuTq//LYl4e9vvj01+j/n461HZe9seP9xN73zaZLheUlsr/Po/7wlj1uK6yx+KF7GM51EuoWWvwszYcJwOWxxWtcVFNqj9JfJVV881atl3/HQ6f+cv+jv0CSNy27TYVti/rd5td2d349VxxwtQLyvdcdKbZoWYhbfwy4mZBfYa0nnMWmvwMKdwUp1tjsEqc27LsKH/W1qdtcxq2p22lyKevRscjjnJEwZMUZaAICgRAAAQWSQCt8SLLjqRDE0jtJih4vHoOq9b4sXjf8qZ9Q/Uu22Zs8ML+W2fbv/yVHV1l/1iTWjzeX4pRtr4UrUCh+JFlv3m+ytjNe/n4W2eb3Sq71Or5cbVj4j7PyQ0zUZlutk35etuOxcAe7W8RvjPmNL/PVqWWXkKNQYOflWEKro4lDgYsD7TGQv1VO0E137TG26x4c3p2ZP9Wv7m4bZttKm5f2pUvnY3f7FS2WZoFxfnQme6MaG+VmbQL6jOk8TxwhkjPDzJbHBbP2ua0bU7DNnrZWatGZ3AiTaVKwZM0VSzwCwIgAAIgIBJAaywSwRgEPBBI7SYoeLx6DsvW+DfLTvll1WmNs+fLF5t9ydld/DMTDn/55ZL/3Wfb39+fQvtnnbGXldldN1PMN0zxM8uK15eLxzlbXdn/f5X6Nf9mc+zwN7lpTZf6xX/1rX/29bfLDs0sW8TeS80aAGauaW+aYw5/lqQouDaWKBiwPGfWGre/+TAsIW1okngTqvlm77A3PXxfil/qnNkveNhks22v7JG321TcvmyTV7uy3CLtxq93Ktu4zYLyfKDp4uzoLKzOr9JVu6A+Q5oTJKdNSGdIFZxwfpSTpF1u2epkpIVMKk/b2kmpXUYvO2vV6HjEUY4oeJKiDBRBgQAIgMAiCaA1XmTZkXRoAqndBAWPV89h+cebWAvK3mB612mN2Uu8xatqd6fTOjsw4asqb/meazZk2g/Fa7m74rVg9i5QtvKe9cv1g92Erw+PbEn9Icfv03bDXq77qNycmHJrulnStKPsrdOdT0aGbI1jZcAIzaw1bmtuKNCGJok3oZqn1pj9OmddfNFc8VufdtuyRrn47UuzTcXtW76hv9iV3MZvdirrWdsFbBd3pmlEG79yRQuqzd54Ln6BxE4t7gypg6tb49p8NSls2epkpFOLSdVpWzmh6GVnrRodjzjKEQVPUpSBIigQAAEQWCQBtMaLLDuSDk0gtZug4PHqOSy12F0ze+GKvSTcvnpbfE31P/am5+JxYkLxuhZ7lDfZ1ZC9lltr5/nfKvtcNe0zU/s6sjdcZx91l/u7ynaPD+y90ZWb4sa/NV1aLf6rb/2Z34esjZy9wvdedArrUq2dbhc5EqJmwHJEayzUX7UTVPPUGrP9tc7YZ93L1rjZtnW/2mxTYftWW7PYleLGL3dqsXGb/U6qpVTu6UKJNn7d6LYLyhOqPUE6iu0ZwrfG9flRTQqnbemuc2pV4TJ0VWtM0VeK/FmrRufoJPNphoInyac/2AYBEAABEDAhgNbYhBZ0nRKwfavizSC8Gb7pWamQ2k1Q8Hj1HJZarAVlFd4KrTH7pC97O3N+/WXCcyEU721m+mzIPlW8z3Zta1y0s9TQliX73WUPlXpxv/9bvB72j70T+6l4h/a2MFGZLnWL/8rb9baXaKaLV/ium/r1aL2EmqUGP+NmgNa4LiXVnyS+yqp5RWvMb9t2mxY2O9uX+l1x47etcbOAVPnWmDY+xVt6qM4Q8kyK4hkiOz+E07bqeGkhk56Zv2t9GlL0lWL5S6j2rFWjo5CjlSh4kqINFoGBAAiAwOIIGLbGhj2Hofri6C88YW83Bt4M2xcswpAGkwker57DSuuQZfd79iJxt0XN82O2fnp5WL8yITs+7tk3Yr2xb9M6/B6y1QNb8U6tMbvtLm/DKwKXzePrC/uMcq3OXuI6vbCvJ/rHXv/NtqvyI82t6YaZ7Na/9HfH4qpes9ZLqDFo8DNuBp/Fd5htdsXr+E2LZ5DbjFSp/iTx6anmG27b4r3U9Kpx8Rsa2rbtNhW2b6ffFTZ+0xq3CzqqxX4u93SpRBu/DJgWlCcUa43rE0R9hkjPD/60LVU6Z2172lZnbd5GXyty6avR8YijHFHwJEUZKIICARAAgUUSMGyNDS/lhuppVQB9/9h6edse3gzbZ5zabgker17NKq0f1n3diW+oLr51iz32X/mVvR26fJ33yj56nF3+2J1+ti6+j7q5yWa33dlPW8vfbaF+uuaVev7EvtiX3Z7/YwZX6+dT8XJza7pZJL31Zx8HZe/M3hQvMLOHXkKVrtH/cTNgb4QtHuWHuv0xMAI2jTLVnyQ+EtV8s3fE1pjfts02FbdvuTXLDlfY+E1r3C7oNMPFos7CduOXAdOC6gxpPBfnheIMkZ4f/GlbqnRPrea0rU/DNvpaMe+mr0bHI45yRMGTFGWgCAoEQAAEFkkArbF12fG0Zo2uXuiNoDfDYzPGeiUBvZo1Whf255f6j+vlp/xy6Px6uVRCpcPmeeWn+m8P17N/vPpfvbjwwd4fXb4A2prmDYmjjqcmVFFl9LgxHCuDToJNqJ2pxYiUO0l88qr5pjXmtdmI37bNNs2F7dtZ1tmOndmBBZVWd+OXM4KH1nNXUecMkW5ZWnjjtO2kr0bXzTNSmYInKdJQERYIgAAILJAAWmProuNpzRpdvdAbQW+Gx2aM9UoCejXT01I6qQ58PHS/hEut/Lo53W+yFfuDyDYPJ6HKHDsxnDgDGRdPc7bvn6AykcSHqJpXtMa6JeOd2Iy0N762ok0UwhoufTU6YVWMQwqepBjjREwgAAIgsEwCaI2t646nNWt09UJvBL0ZHpsx1isJ6NWs/ONNShuaBx4y9oFk9qje+tu7BLZWvvarbH3iOmP5EumsXkKtM33BieHEGejTGq1pi5vWkcQHo5pXtMZNyXgjPkaSjS93o60oX240y6WvRmdkcxplCp6kaSKBVxAAARAAgT6B3n1h92Ldlaul/Zm+yc6MoXpnZQLirJMLwt8bQW+Gg2BZphO9mm1cfnz1s3qY8JYvkc7qJWTivNZ1alga+nBQ8iXSWaehDkfl7ahtDrSOJD5I1byiNeYXL3ukRpcAFwqepATCRoggAAIgsBACaI2tC42nNWt09ULbtyre9OvN8E3PULAloHc6OW2NbUPVW6eXkJ4tTsubYc6Lk0FCoSrztc2B1pHEO1HNozXmOUlGanQS5dimKHiSYosR8YAACIDAcgkYtsaGPYehelplwNNaWvVCtFET0Dud0Bon1TfpFTXqfWn9NgXKnSQ+U9V8UiXmUwo1UqMLFcEIPxQ8SSPMYSkIgAAIgIBTAoatsVPfiRubdd+feG3iCz+13RI8Xr27RLTGSfVNekWN72ztRmSbA60jqWt3qJCqFfz6BY+SBkTBk7TgWiJ1EAABEIiMAFrjyAqCcOZJILWboODx6jlEazzUUUV36ugVNbqwuYBsc6B1JHGGB16PVq3g1y94lDQgCp6kBdcSqYMACIBAZATQGkdWEIQzTwKp3QQFj1fPIVpjtMaBLxC275+gDU0SH7pqPqkS8ymFGqnRhYpghB8KnqQR5rAUBEAABEDAKQG0xk5xwhgIyAmkdhMUPF49h07+eJO8Qq5n9RKy8OrNsEUsN5YkFOqNTMwPU+4k8VZU82iNeU6SkRqdRDm2KQqepNhiRDwgAAIgsFwCaI2XW3tkHpBAajdBwePVc6inFbCualfeQvVmWJ2L7ZGEQrVNUbmOcieJV1bNozXmOUlGanQS5dimKHiSYosR8YAACIDAcgmgNV5u7SfP3PatijcD92b4pmelQmo3QcHj1XOop6WsQsgD3kL1Ztg9nYRCdZ485U4S70Q1j9aY5yQZqdFJlGObouBJii1GxAMCIAACyyVg2Bob9hyG6sstwzIz93Zj4M2wfZ0iDGkwmeDx6jnU0xrMLNRBb6F6M+yeTEKhOk+ecieJd6KaR2vMc5KM1OgkyrFNUfAkxRYj4gEBEACB5RIwbI0NL+WG6mmVAX3/2Hp52x7eDNtnnNpuCR6vXs30tOzL5HClt1C9GXaYfG0qoVCdJ0+5k8Q7Uc2jNeY5SUZqdBLl2KYoeJJiixHxgAAIgMByCaA1tq49ntas0dULvRH0ZnhsxlivJKBXMz0tpZOQB7yF6s2wezoJheo8ecqdJN6Jah6tMc9JMlKjkyjHNkXBkxRbjIgHBEAABJZLAK2xde3xtGaNrl7ojaA3w2MzxnolAb2a6WkpnYQ84C1Ub4bd00koVGXytu+foNxJ4p2o5tEa85wkIzU6iXJsUxQ8SbHFiHhAAARAYLkE0Bpb1x5Pa9bo6oXeCHozPDZjrFcS0KsZ/nhTUn2TXlGVeyKKA7Y50DqS+IRU80mVmE8p1EiNLlQEI/xQ8CSNMIelIAACIAACTgmgNbbGiac1a3T1Qm8EvRkemzHWKwno1WyT6+kp3YQ74C1Qb4bds0koVGXytjnQOpJ4J6p5tMY8J8lIjU6iHNsUBU9SbDEiHhAAARBYLgG0xta1x9OaNbp6oe1bFW/69Wb4pmco2BLQO53QGifVN+kV1XbLhFlnmwOtI4mPWDWfVIn5lEKN1OhCRTDCDwVP0ghzWAoCIAACIOCUgGFrbNhzGKo7zcy7MTyteUcMB8shoHc6oTVOqm/SK2rcm9w2B1pHEp+paj6pEvMphRqp0YWKYIQfCp6kEeawFARAAARAwCkBw9bYqe/Ejc2670+8NvGFn9puCR6v3l0iWuOk+ia9osZ3tnYjss2B1pHUtTtUSNUKfv2CR0kDouBJWnAtkToIgAAIREYArXFkBUE48ySQ2k1Q8Hj1HKI1Huqoojt19IoaXdhcQLY50DqSOMMDH5tXreDXL3iUNCAKnqQF1xKpgwAIgEBkBNAaR1YQhDNPAqndBAWPV88hWmO0xoEvELbvn6ANTRIfumo+qRLzKYUaqdGFimCEHwqepBHmsBQEQAAEQMApAbTGTnHCGAjICaR2ExQ8Xj2H+ONNSfVNekWVnzGpz1LuJPE5qeaTKjGfUqiRGl2oCEb4oeBJGmEOS0EABEAABJwSQGvsFCeMgYCcQGo3QcHj1XOopyUvQeBZb6F6M+weUEKhOk+ecieJd6KaR2vMc5KM1OgkyrFNUfAkxRYj4gEBEACB5RJAa7zc2k+eue1bFW8G7s3wTc9KhdRugoLHq+dQT0tZhZAHvIXqzbB7OgmF6jx5yp0k3olqHq0xz0kyUqOTKMc2RcGTFFuMiAcEQAAElkvAsDU27DkM1ZdbhmVm7u3GwJth+zpFGNJgMsHj1XOopzWYWaiD3kL1Ztg9mYRCdZ485U4S70Q1j9aY5yQZqdFJlGObouBJii1GxAMCIAACyyVg2BobXsoN1dMqA/r+sfXytj28GbbPOLXdEjxevZrpadmXyeFKb6F6M+ww+dpUQqE6T55yJ4l3oppHa8xzkozU6CTKsU1R8CTFFiPiAQEQAIHlEkBrbF17PK1Zo6sXeiPozfDYjLFeSUCvZnpaSichD3gL1Zth93QSCtV58pQ7SbwT1TxaY56TZKRGJ1GObYqCJym2GBEPCIAACCyXAFpj69rjac0aXb3QG0FvhsdmjPVKAno109NSOgl5wFuo3gy7p5NQqMrkbd8/QbmTxDtRzaM15jlJRmp0EuXYpih4kmKLEfGAAAiAwHIJoDW2rj2e1qzR1Qu9EfRmeGzGWK8koFcz/PGmpPomvaIq90QUB2xzoHUk8Qmp5pMqMZ9SqJEaXagIRvih4EkaYQ5LQQAEQAAEnBJAa2yNE09r1ujqhd4IejM8NmOsVxLQq9km19NTugl3wFug3gy7Z5NQqMrkbXOgdSTxTlTzaI15TpKRGp1EObYpCp6k2GJEPCAAAiCwXAJoja1rj6c1a3T1Qtu3Kt70683wTc9QsCWgdzqhNU6qb9Irqu2WCbPONgdaRxIfsWo+qRLzKYUaqdGFimCEHwqepBHmsBQEQAAEQMApAcPW2LDnMFR3mpl3Y3ha844YDpZDQO90QmucVN+kV9S4N7ltDrSOJD5T1XxSJeZTCjVSowsVwQg/FDxJI8xhKQiAAAiAgFMChq2xU9+JG5t13594beILP7XdEjxevbtEtMZJ9U16RY3vbO1GZJsDrSOpa3eokKoV/PoFj5IGRMGTtOBaInUQAAEQiIwAWuPICoJw5kkgtZug4PHqOURrPNRRRXfq6BU1urC5gGxzoHUkcYYHPjavWsGvX/AoaUAUPEkLriVSBwEQAIHICKA1jqwgCGeeBFK7CQoer55DtMZojQNfIGzfP0EbmiQ+dNV8UiXmUwo1UqMLFcEIPxQ8SSPMYSkIgAAIgIBTAmiNneKEMRCQE0jtJih4vHoO8cebkuqb9IoqP2NSn6XcSeJzUs0nVWI+pVAjNbpQEYzwQ8GTNMIcloIACIAACDglgNbYKU4YAwE5gdRugoLHq+dQT0tegsCz3kL1Ztg9oIRCdZ485U4S70Q1j9aY5yQZqdFJlGObouBJii1GxAMCIAACyyWA1ni5tZ88c9u3Kt4M3Jvhm56VCqndBAWPV8+hnpayCiEPeAvVm2H3dBIK1XnylDtJvBPVPFpjnpNkpEYnUY5tioInKbYYEQ8IgAAILJeAYWts2HMYqi+3DMvM3NuNgTfD9nWKMKTBZILHq+dQT2sws1AHvYXqzbB7MgmF6jx5yp0k3olqHq0xz0kyUqOTKMc2RcGTFFuMiAcEQAAElkvAsDU2vJQbqqdVBvT9Y+vlbXt4M2yfcWq7JXi8ejXT07Ivk8OV3kL1Zthh8rWphEJ1njzlThLvRDWP1pjnJBmp0UmUY5ui4EmKLUbEAwIgAALLJYDW2Lr2eFqzRlcv9EbQm+GxGWO9koBezfS0lE5CHvAWqjfD7ukkFKrz5Cl3kngnqnm0xjwnyUiNTqIc2xQFT1JsMSIeEAABEFguAbTG1rXH05o1unqhN4LeDI/NGOuVBPRqpqeldBLygLdQvRl2TyehUJXJ275/gnIniXeimkdrzHOSjNToJMqxTVHwJMUWI+IBARAAgeUSQGtsXXs8rVmjqxd6I+jN8NiMsV5JQK9m+ONNSfVNekVV7okoDtjmQOtI4hNSzSdVYj6lUCM1ulARjPBDwZM0whyWggAIgAAIOCWA1tgaJ57WrNHVC70R9GZ4bMZYrySgV7NNrqendBPugLdAvRl2zyahUJXJ2+ZA60jinajm0RrznCQjNTqJcmxTFDxJscWIeEAABEBguQTQGlvXHk9r1ujqhbZvVbzp15vhm56hYEtA73RCa5xU36RXVNstE2adbQ60jiQ+YtV8UiXmUwo1UqMLFcEIPxQ8SSPMYSkIgAAIgIBTAoatsWHPYajuNDPvxvC05h0xHCyHgN7phNY4qb5Jr6hxb3LbHGgdSXymqvmkSsynFGqkRhcqghF+KHiSRpjDUhAAARAAAacEDFtjp74TNzbrvj/x2sQXfmq7JXi8eneJaI2T6pv0ihrf2dqNyDYHWkdS1+5QIVUr+PULHiUNiIInacG1ROogAAIgEBkBtMaRFQThzJNAajdBwePVc4jWeKijiu7U0StqdGFzAdnmQOtI4gwPfGxetYJfv+BR0oAoeJIWXEukDgIgAAKREUBrHFlBEM48CaR2ExQ8Xj2HaI3RGge+QNi+f4I2NEl86Kr5pErMpxRqpEYXKoIRfih4kkaYw1IQAAEQAAGnBNAaO8UJYyAgJ5DaTVDwePUc4o83JdU36RVVfsakPku5k8TnpJpPqsR8SqFGanShIhjhh4InaYQ5LAUBEAABEHBKAK2xU5wwBgJyAqndBAWPV8+hnpa8BIFnvYXqzbB7QAmF6jx5yp0k3olqHq0xz0kyUqOTKMc2RcGTFFuMiAcEQAAElksArfFyaz955rZvVbwZuDfDNz0rFVK7CQoer55DPS1lFUIe8BaqN8Pu6SQUqvPkKXeSeCeqebTGPCfJSI1OohzbFAVPUmwxIh4QAAEQWC4Bw9bYsOcwVF9uGZaZubcbA2+G7esUYUiDyQSPV8+hntZgZqEOegvVm2H3ZBIK1XnylDtJvBPVPFpjnpNkpEYnUY5tioInKbYYEQ8IgAAILJeAYWtseCk3VE+rDOj7x9bL2/bwZtg+49R2S/B49Wqmp2VfJocrvYXqzbDD5GtTCYXqPHnKnSTeiWoerTHPSTJSo5MoxzZFwZMUW4yIBwRAAASWSwCtsXXt8bRmja5e6I2gN8NjM8Z6JQG9mulpKZ2EPOAtVG+G3dNJKFTnyVPuJPFOVPNojXlOkpEanUQ5tikKnqTYYkQ8IAACILBcAmiNrWuPpzVrdPVCbwS9GR6bMdYrCejVTE9L6STkAW+hejPsnk5CoSqTt33/BOVOEu9ENY/WmOckGanRSZRjm6LgSYotRsQDAiAAAsslgNbYuvZ4WrNGVy/0RtCb4bEZY72SgF7N8Mebkuqb9Iqq3BNRHLDNgdaRxCekmk+qxHxKoUZqdKEiGOGHgidphDksBQEQAAEQcEoArbE1TjytWaOrF3oj6M3w2IyxXklAr2abXE9P6SbcAW+BejPsnk1CoSqTt82B1pHEO1HNozXmOUlGanQS5dimKHiSYosR8YAACIDAcgmgNbauPZ7WrNHVC23fqnjTrzfDNz1DwZaA3umE1jipvkmvqLZbJsw62xxoHUl8xKr5pErMpxRqpEYXKoIRfih4kkaYw1IQAAEQAAGnBAxbY8Oew1DdaWbejeFpzTtiOFgOAb3TCa1xUn2TXlHj3uS2OdA6kvhMVfNJlZhPKdRIjS5UBCP8UPAkjTCHpSAAAiAAAk4JGLbGTn0nbmzWfX/itYkv/NR2S/B49e4S0Ron1TfpFTW+s7UbkW0OtI6krt2hQqpW8OsXPEoaEAVP0oJridRBAARAIDICaI27Bbmeu49r9xBkEBhDILWboODx6jlEazzUUY3ZoF7W6hXVi2tnRm1zoHUk8UGp5pMqMZ9SqJEaXagIRvih4EkaYQ5LQQAEQAAEnBJAa9zFed50H+fuIcggMIZAajdBwePVc4jWOKm+Sa+oY84r/2tt3z9BuZPER6uaT6rEfEqhRmp0oSIY4YeCJ2mEOSwFARAAARBwSgCtcRfnefP21TzeNmiNu2wgjyKQ2k1Q8Hj1HOKPNyXVN+kVddSJFe1iyp0kPlh+/uf9rz3MH2mnITQEkgZEwZPUJIafIAACIAACUxNAa9ytwHnzdW0eX2iNu2ggjyOQ2k1Q8Hj1HOppjSuVo9XeQvVm2FHiHTMJhdqJ2o1IuZPEWxbmz7u7z1pBOMIvwyipXw/1y0XVJamvhRkQAAEQAIFpCKA17nJHa9yl4V22favizcC8Gb7pWamQ2k1Q8Hj1HOppKasQ8oC3UL0Zdk8noVCdJ0+5k8Q7EefP282uunSJR/h1GKXz181ltaLqkiTTwxwIgAAIgMAUBAZb4/2PGJJhz2GoLnoLPkZrHBS5txsDb4bt8UQY0mAyoeP92Q+G0xwMHVbj1+Knt1C9GbZI8saShEK9kYn5YcqdJN5Kb/683W02j+zrH3tH+IUYJQ2IgicJJQUBEAABEIiFwGBr/FI8S3MPw0u5oTrnaoqBUWucWt8/BdBhn962hzfDw/kMHU1ttwSO9/r4MkSvPRZhZdvYBMFbqN4MCwk4GCYUqoNseROUO0kqjWb+vDuyL4K8u6hWNHqL/5k0IAqepMVXFABAAARAIBoCg61x/rjtfmPzEuTuZ42XkC9yBIEoCDzoXRITupf0Fqo3w3olMNEyCPW12ob1r2SmHb1UsbxVqfKjOrLn6ti/SvOxGn1Wo2ovb+rRY/Ua8Ft1rP4NED+ibOt5A26V56X9nzQgCp6kpRUQ+YIACIBAvASGW+Ne3IaXckP1nrvQE0avGqeWXGiYt/15I+jN8O2coOGVQEKV9RaqN8PuK5dQqMrkbd8/QbmTxDvpz39tNvvD7vWvf4RfufhR0oAoeJIWX1EAAAEQAIFoCKA17pYCrXGXhnfZ242BN8PekcDBMAH88aakPog6hxPRNgdaRxK/uXvzX5vd/viPKfWO8AsxShoQBU8SSgoCIAACIBALAbTG3UqgNe7S8C57uzHwZtg7EjgYJrBJp2vwtgm9GR5Gb3M0oVCV6dnmQOtI4p2I8+fN5v5cqohH+HUYpXMVkNWKqkuSTA9zIAACIAACUxBAa9ylzlrj9sPGN/+uMZ7WuuhsZNu3Kt705c3wTc9Q8EsArXFSLynO4RppmwOtI4k/OYT58+6p+ZMQwhF+GUZJnQP9clF1SeprYQYEQAAEQGAaAoatsWHPYag+DYKO1/PmZfvxVT3eNtUv8DuHeRFPazwPjEDAOwG0xkm1BXO4RtrmQOtI4s8Pfv7n/a89zB9ppyE0BJIGRMGT1CSGnyAAAiAAAlMTMGyNpw7Xs3/2jrbO40ZrnFrf75kdzA8SSG23RBovWmO0xoPnmfuDtu0LrSOJj041n1SJ+ZRCjdToQkUwwg8FT9IIc1gKAiAAAiDglABa4y7O63mz252bh/hHnbuakEHAiEBqN0GRxovWOKm+KdJdFOTMpdxJ4h2r5pMqMZ9SqJEaXagIRvih4EkaYQ5LQQAEQAAEnBJAa8zhfN5sym8IffngpuvB23uevxZfIIoHCBgSSO0mKNJ40Ron1TdFuouMzl3b909Q7iTxjlXzSZWYTynUSI0uVAQj/FDwJI0wh6UgAAIgAAJOCSy5NX7s3/RsWWt8ZICPTzLK9w95fi89ItPGHAgQgdRugiKNF3+8Kam+KdJdRKelR4lyJ4l3x8/js8Y8ncERj25QNb6DFDxJ8UWJiEAABEBgqQSW3BrfPYpV/7dhvfGBfcZY3RqLSzAGAR0Cqd0ERRpvpGHJdoC3UL0ZlmUxbi6hUMclKllNuZPEqwnz593dV60gHOGXYZTUr4f65aLqktTXwgwIgAAIgMA0BBbSGn+z13v/Tuy90B/P+fl+f3hiXwb6ttmeTr95/nm3P33n+cu/t8N2s7vbHO6L1vhtf3gvSvJ+3N0Xf1LjdX/4V7xq/FrM1kvyCzP1wEzgYUWg/6q9lZn+Im+G+650Z1K7CYo03kjDku0Cb6F6MyzLYtxcQqGOS1SymnIniVcT58/s+eetVBGP8Oswwt81xh4AARAAARDwRcCwNTbsOQzVfSWZ57/ZT/6RHfL87il/ff36PDDxe3/38XHN31evX8+rS37c3L1stufNv83mhw1On68Za6XfVq+fd+u//HX19nncsNa4eKm5WZKvH78+n5u/Rekv+rla9nYD6M2wfSUiDGkwmUjjjTQsGUpvoXozLMti3FxCoY5LVLKacieJV+vNn7fbzfaJff1j7wi/EKOkAVHwJKGkIAACIAACsRAwbI0NL+WG6h6hbN/yx4fsmq8+Syd/2aXqcvN8Xfye/uE+P+7yu+2Z3ZT82zzlxy2bfNqxo0V3v3kuta6rujWulhzynwyvGJc4Lf/ztj28GbZMlC2L5rdEmilEGm+ElVUB9RaqN8OqTOznEwrVPknFSsqdJF61P3/e7dlfDzz99I/wKxc/ShoQBU/S4isKACAAAiAQDYGltMaPp3z7tf88s+747/m422WsRS4/a3zJHp+f2Ux+fPzbsU8Zsyerz93fkTXB+Vd2/Sla6Pzh7oe96szeZl21xvUSprnbPjWfDoumogkF4u3GwJvhhODOM9SEKmsX6mv1h9Xr30xIR7Vh6bGhdRMcK0JNIc7iZHEdp1XuRfV37Bsv5nn2ussqaUAUPEnu0MASCIAACIDAOAJLaY0/1r+r69PjC3sj9f7u63LJ2F9nKlvj7+zphT3e2MeL31lnXL6V7fx+LL6h65z9XcqW+PF4KV8fPlWtcb2EPa1d30+rLd5QbbsFvd0YeDNsmynWOSKQUGW9herNsKMadcwkFGonal60ff8E5U4Sb7k//7nZ7I+717/+EX7l4kdJA6LgSVp8RQEABEAABKIhsJTW+C97POZfu+Nz+bFj9lbopjX+K6TicXwqe9zyyeqn/AtO76v8Wry6nB8eqp/bqjWul1RPa9cd/ppTyc/iP283Bt4MWySJJS4J4I83JfVB1DmciLY50DqS+FOhN/+52e+P7Bsu8FljHlR/1EPXV4l3hoInKd5oERkIgAAILI3AUlrjfJ+9sEY3O7P/3vLrsWiIHw9/7BtP7rfsPdOXr+bvNVVPVsXx3y1reu93v/m/7Ds/7f/yt6xqjeslm/yXvZv6b2v7qsLStlo/X283Bt4M93PATFACm3S6Bm+b0Jth95VMKFRl8rY50DqSeCfi/Ndmc1+8cwmtMc9JMhLRSVTinaLgSYo3WkQGAiAAAksjsJjW+In1t/lhxer7lm1WryvWGv8cVuyjxNeHbL1avzetcdXoHh/26+zIGue/AzvK5n732fpYv6G6XrLJL+tsk52YFh5WBLz9UsGbYas0scgdAbTGSfVNc7j1t82B1pHEnwjC/HlXvXGJKQlH+GUYJQ6IqksSigoCIAACIBALAcPW2LDnMFQPBOV64bvZ6+VX4vmn/gzxb63djEvVYknxtPZ7YX8gGQ8QAIEwBNAaJ9UWzOHW3zYHWkcSf5Lw8z/v9FzCH+FXYcQIJA2IgicJVQUBEAABEIiFgGFrHEvYMcQRZ98fAxnE0CeQ2m6JNF60xkm1BXO49bfNgdaRxF8XVPNJlZhPKdRIjS5UBCP8UPAkjTCHpSAAAiAAAk4JoDXu4vw9VQ/Zq8hdPcggYEggtZugSONFa5xU3xTpLjI6d21zoHUk8Y5V80mVmE8p1EiNLlQEI/xQ8CSNMIelIAACIAACTgmgNe7ivH5WD/4N110NyCBgRSC1m6BI40VrnFTfFOkuMjqDbd8/QbmTxDtWzSdVYj6lUCM1ulARjPBDwZM0whyWggAIgAAIOCWA1tgpThgDATmB1G6CIo0Xf7wpqb4p0l0kP0Udz1LuJPEuVPNJlZhPKdRIjS5UBCP8UPAkjTCHpSAAAiAAAk4JoDV2ihPGQEBOILWboEjjjTQsWc29herNsCyLcXMJhTouUclqyp0kXk01j9aY5yQZqdFJlGObouBJii1GxAMCIAACyyWA1liove3b5wQzGGoQ8Mbam2GNpBQqqd0ERRpvpGHJiu4tVG+GZVmMm0so1HGJSlZT7iTxaqp5tMY8J8lIjU6iHNsUBU9SbDEiHhAAARBYLgHD1tiw5zBUj6EMeLIKVwVvrL0ZtmcTYUiDyUQab6RhyVB6C9WbYVkW4+YSCnVcopLVlDtJvJpqHq0xz0kyUqOTKMc2RcGTFFuMiAcEQAAElkvAsDU2vJQbqsdQBv2QE+z7YwDciUGfdWeRjujNsI5zuU5quyXSeCOsrLzeHtsbMFAhj2qeykQSH6Bq3uPe4QNId6RGl0BOFDxJCYSNEEEABEBgIQTQGguF1n+y0tcUXGBYE/BG0JthlG5iAglV1luo3gy7r21CoTpPnnIniXeimkdrzHOSjNToJMqxTVHwJMUWI+IBARAAgeUSQGss1F7/yUpfU3CBYU3AG0FvhlG6iQkkVFlvoXoz7L62CYWqTN72/ROUO0m8E9U8WmOek2SkRidRjm2KgicpthgRDwiAAAgslwBaY6H2+k9W+pqCCwxrAt4IejOM0k1MAH+8Kam+aQ4nom0OtI4k/uxRzSdVYj6lUCM1ulARjPBDwZM0whyWggAIgAAIOCWA1ljAqf9kpa8puMCwJuCNoDfDKN3EBDZ5MrX1Fqg3w+5rm1CoyuRtc6B1JPFOVPNojXlOkpEanUQ5tikKnqTYYkQ8IAACILBcAmiNhdrrv30OT2sCOuOhPmtD094MG8YBddcE0Bon1TfN4RppmwOtI4k/HVTzSZWYTynUSI0uVAQj/FDwJI0wh6UgAAIgAAJOCRi2xoY9h6G608y8G8PTmnfEcAACPAG0xkn1TXO4RtrmQOtIEjczP6aRagVpLFxKGhAFT9LC64n0QQAEQCAiAoatcUSRTx7KrPv+yenOLYDUdkuk8aI1Rmsc+NJg277QOpL40FXzSZWYTynUSI0uVAQj/FDwJI0wh6UgAAIgAAJOCaA1dooTxkBATiC1m6BI40VrnFTfFOkukp+iilnbHGgdSbwL1XxSJeZTCjVSowsVwQg/FDxJI8xhKQiAAAiAgFMCaI2d4oQxEJATSO0mKNJ40Ron1TdFuovkp6hi1vb9E5Q7SbwL1XxSJeZTCjVSowsVwQg/FDxJI8xhKQiAAAiAgFMCaI2d4oQxEJATSO0mKNJ48cebkuqbIt1F8lPU8SzlThLvQjWfVIn5lEKN1OhCRTDCDwVP0ghzWAoCIAACIOCUAFpjpzhhDATkBFK7CYo03kjDktXcW6jeDMuyGDeXUKjjEpWsptxJ4tVU82iNeU6SkRqdRDm2KQqepNhiRDwgAAIgsFwCaI2F2tu+fU4wg6EGAW+svRnWSEqhktpNUKTxRhqWrOjeQvVmWJbFuLmEQh2XqGQ15U4Sr6aaR2vMc5KM1OgkyrFNUfAkxRYj4gEBEACB5RIwbI0New5D9RjKgCercFXwxtqbYXs2EYY0mEyk8UYalgylt1C9GZZlMW4uoVDHJSpZTbmTxKup5tEa85wkIzU6iXJsUxQ8SbHFiHhAAARAYLkEDFtjw0u5oXoMZdAPOcG+PwbAnRj0WXcW6YjeDOs4l+uktlsijTfCysrr7bG9AQMV8qjmqUwk8QGq5j3uHT6AdEdqdAnkRMGTlEDYCBEEQAAEFkIArbFQaP0nK31NwQWGNQFvBL0ZRukmJpBQZb2F6s2w+9omFKrz5Cl3kngnqnm0xjwnyUiNTqIc2xQFT1JsMSIeEAABEFguAbTGQu31n6z0NQUXGNYEvBH0Zhilm5hAQpX1Fqo3w+5rm1CoyuRt3z9BuZPEO1HNozXmOUlGanQS5dimKHiSYosR8YAACIDAcgmgNRZqr/9kpa8puMCwJuCNoDfDKN3EBPDHm5Lqm+ZwItrmQOtI4s8e1XxSJeZTCjVSowsVwQg/FDxJI8xhKQiAAAiAgFMCaI0FnPpPVvqaggsMawLeCHozjNJNTGCTJ1Nbb4F6M+y+tgmFqkzeNgdaRxLvRDWP1pjnJBmp0UmUY5ui4EmKLUbEAwIgAALLJYDWWKi9/tvn8LQmoDMe6rM2NO3NsGEcUHdNAK1xUn3THK6RtjnQOpL400E1n1SJ+ZRCjdToQkUwwg8FT9IIc1gKAiAAAiDglIBha2zYcxiqO83MuzE8rXlHDAcgwBNAa5xU3zSHa6RtDrSOJHEz82MaqVaQxsKlpAFR8CQtvJ5IHwRAAAQiImDYGkcU+eShzLrvn5zu3AJIbbdEGi9aY7TGgS8Ntu0LrSOJD101n1SJ+ZRCjdToQkUwwg8FT9IIc1gKAiAAAiDglABaY6c4YQwE5ARSuwmKNF60xkn1TZHuIvkpqpi1zYHWkcS7UM0nVWI+pVAjNbpQEYzwQ8GTNMIcloIACIAACDglgNbYKU4YAwE5gdRugiKNF61xUn1TpLtIfooqZm3fP0G5k8S7UM0nVWI+pVAjNbpQEYzwQ8GTNMIcloIACIAACDglgNbYKU4YAwE5gdRugiKNF3+8Kam+KdJdJD9FHc9S7iTxLlTzSZWYTynUSI0uVAQj/FDwJI0wh6UgAAIgAAJOCaA1dooTxkBATiC1m6BI4400LFnNvYXqzbAsi3FzCYU6LlHJasqdJF5NNY/WmOckGanRSZRjm6LgSYotRsQDAiAAAsslgNZYqL3t2+cEMxhqEPDG2pthjaQUKqndBEUab6RhyYruLVRvhmVZjJtLKNRxiUpWU+4k8WqqebTGPCfJSI1OohzbFAVPUmwxIh4QAAEQWC4Bw9bYsOcwVI+hDHiyClcFb6y9GbZnE2FIg8lEGm+kYclQegvVm2FZFuPmEgp1XKKS1ZQ7Sbyaah6tMc9JMlKjkyjHNkXBkxRbjIgHBEAABJZLwLA1NryUG6rHUAb9kBPs+2MA3IlBn3VnkY7ozbCOc7lOarsl0ngjrKy83h7bGzBQIY9qnspEEh+gat7j3uEDSHekRpdAThQ8SQmEjRBBAARAYCEE0BoLhdZ/stLXFFxgWBPwRtCbYZRuYgIJVdZbqN4Mu69tQqE6T55yJ4l3oppHa8xzkozU6CTKsU1R8CTFFiPiAQEQAIHlEkBrLNRe/8lKX1NwgWFNwBtBb4ZRuokJJFRZb6F6M+y+tgmFqkze9v0TlDtJvBPVPFpjnpNkpEYnUY5tioInKbYYEQ8IgAAILJcAWmOh9vpPVvqaggsMawLeCHozjNJNTAB/vCmpvmkOJ6JtDrSOJP7sUc0nVWI+pVAjNbpQEYzwQ8GTNMIcloIACIAACDglgNZYwKn/ZKWvKbjAsCbgjaA3wyjdxAQ2eTK19RaoN8Pua5tQqMrkbXOgdSTxTlTzaI15TpKRGp1EObYpCp6k2GJEPCAAAiCwXAJojYXa6799Dk9rAjrjoT5rQ9PeDBvGAXXXBNAaJ9U3zeEaaZsDrSOJPx1U80mVmE8p1EiNLlQEI/xQ8CSNMIelIAACIAACTgkYtsaGPYehutPMvBvD05p3xHAAAjwBtMZJ9U1zuEba5kDrSBI3Mz+mkWoFaSxcShoQBU/SwuuJ9EEABEAgIgKGrXFEkU8eyqz7/snpzi2A1HZLpPGiNUZrHPjSYNu+0DqS+NBV80mVmE8p1EiNLlQEI/xQ8CSNMIelIAACIAACTgmgNXaKE8ZAQE4gtZugSONFa5xU3xTpLpKfoopZ2xxoHUm8C9V8UiXmUwo1UqMLFcEIPxQ8SSPMYSkIgAAIgIBTAmiNneKEMRCQE0jtJijSeNEaJ9U3RbqL5KeoYtb2/ROUO0m8C9V8UiXmUwo1UqMLFcEIPxQ8SSPMYSkIgAAIgIBTAmiNneKEMRCQE0jtJijSePHHm5LqmyLdRfJT1PEs5U4S70I1n1SJ+ZRCjdToQkUwwg8FT9IIc1gKAiAAAiDglABaY6c4YQwE5ARSuwmKNN5Iw5LV3Fuo3gzLshg3l1Co4xKVrKbcSeLVVPNojXlOkpEanUQ5tikKnqTYYkQ8IAACILBcAmiNhdrbvn1OMIOhBgFvrL0Z1khKoZLaTVCk8UYalqzo3kL1ZliWxbi5hEIdl6hkNeVOEq+mmkdrzHOSjNToJMqxTVHwJMUWI+IBARAAgeUSMGyNDXsOQ/UYyoAnq3BV8Mbam2F7NhGGNJhMpPFGGpYMpbdQvRmWZTFuLqFQxyUqWU25k8SrqebRGvOcJCM1OolybFMUPEmxxYh4QAAEQGC5BAxbY8NLuaF6DGXQDznBvj8GwJ0Y9Fl3FumI3gzrOJfrpLZbIo03wsrK6+2xvQEDFfKo5qlMJPEBquY97h0+gHRHanQJ5ETBk5RA2AgRBEAABBZCAK2xUGj9Jyt9TcEFhjUBbwS9GUbpJiaQUGW9herNsPvaJhSq8+Qpd5J4J6p5tMY8J8lIjU6iHNsUBU9SbDEiHhAAARBYLgG0xkLt9Z+s9DUFFxjWBLwR9GYYpZuYQEKV9RaqN8Pua5tQqMrkbd8/QbmTxDtRzaM15jlJRmp0EuXYpih4kmKLEfGAAAiAwHIJoDUWaq//ZKWvKbjAsCbgjaA3wyjdxATwx5uS6pvmcCLa5kDrSOLPHtV8UiXmUwo1UqMLFcEIPxQ8SSPMYSkIgAAIgIBTAmiNBZz6T1b6moILDGsC3gh6M4zSTUxgkydTW2+BejPsvrYJhapM3jYHWkcS70Q1j9aY5yQZqdFJlGObouBJii1GxAMCIAACyyWA1liovf7b5/C0JqAzHuqzNjTtzbBhHFB3TQCtcVJ90xyukbY50DqS+NNBNZ9UifmUQo3U6EJFMMIPBU/SCHNYCgIgAAIg4JSAYWts2HMYqjvNzLsxPK15RwwHIMATQGucVN80h2ukbQ60jiRxM/NjGqlWkMbCpaQBUfAkLbyeSB8EQAAEIiJg2BpHFPnkocy675+c7twCSG23RBovWmO0xoEvDbbtC60jiQ9dNZ9UifmUQo3U6EJFMMIPBU/SCHNYCgIgAAIg4JQAWmOnOGEMBOQEUrsJijRetMZJ9U2R7iL5KaqYtc2B1pHEu1DNJ1ViPqVQIzW6UBGM8EPBkzTCHJaCAAiAAAg4JYDW2ClOGAMBOYHUboIijRetcVJ9U6S7SH6KKmZt3z9BuZPEu1DNJ1ViPqVQIzW6UBGM8EPBkzTCHJaCAAiAAAg4JYDW2ClOGAMBOYHUboIijRd/vCmpvinSXSQ/RR3PUu4k8S5U80mVmE8p1EiNLlQEI/xQ8CSNMIelIAACIAACTgmgNXaKE8ZAQE4gtZugSOONNCxZzb2F6s2wLItxcwmFOi5RyWrKnSReTTWP1pjnJBmp0UmUY5ui4EmKLUbEAwIgAALLJYDWWKi97dvnBDMYahDwxtqbYY2kFCqp3QRFGm+kYcmK7i1Ub4ZlWYybSyjUcYlKVlPuJPFqqnm0xjwnyUiNTqIc2xQFT1JsMSIeEAABEFguAcPW2LDnMFSPoQx4sgpXBW+svRm2ZxNhSIPJRBpvpGHJUHoL1ZthWRbj5hIKdVyiktWUO0m8mmoerTHPSTJSo5MoxzZFwZMUW4yIBwRAAASWS8CwNTa8lBuqx1AG/ZAT7PtjANyJQZ91Z5GO6M2wjnO5Tmq7JdJ4I6ysvN4e2xswUCGPap7KRBIfoGre497hA0h3pEaXQE4UPEkJhI0QQQAEQGAhBNAaC4XWf7LS1xRcYFgT8EbQm2GUbmICCVXWW6jeDLuvbUKhOk+ecieJd6KaR2vMc5KM1OgkyrFNUfAkxRYj4gEBEACB5RJAayzUXv/JSl9TcIFhTcAbQW+GUbqJCSRUWW+hejPsvrYJhapM3vb9E5Q7SbwT1TxaY56TZKRGJ1GObYqCJym2GBEPCIAACCyXAFpjofb6T1b6moILDGsC3gh6M4zSTUwAf7wpqb5pDieibQ60jiT+7FHNJ1ViPqVQIzW6UBGM8EPBkzTCHJaCAAiAAAg4JYDWWMCp/2Slrym4wLAm4I2gN8Mo3cQENnkytfUWqDfD7mubUKjK5G1zoHUk8U5U82iNeU6SkRqdRDm2KQqepNhiRDwgAAIgsFwCaI2F2uu/fQ5PawI646E+a0PT3gwbxgF11wTQGifVN83hGmmbA60jiT8dVPNJlZhPKdRIjS5UBCP8UPAkjTCHpSAAAiAAAk4JGLbGhj2HobrTzLwbw9Oad8RwAAI8gdGt8fXcfVx5605H3q4PlobDZU4YLUMlAxFItjnQOpL4dFTz6bbGwfaYGh2POMoRBU9SlIEiKBAAARBYJAHD1niRjBRJz7rvV+SMaVsCqe2WSOMd3RqfN93H2bacGuu83fZaGg6XOcGxDJUMRCDZ5kDrSOLTUc2n2xoH22NqdDziKEcUPElRBoqgQAAEQGCRBNAaL7LsSDo0gdRugiKN10Fr/PbVPN42y2qNQ2VO51aku4gC1JBsc6B1JPHuVPMpt8aB9pgaHY84yhEFT1KUgSIoEAABEFgkAbTGiyw7kg5NILWboEjjddAaf12bx9fCWuNQmdO5FekuogA1JNv3T1DuJPHuVPMpt8aB9pgaHY84yhEFT1KUgSIoEAABEFgkAbTGiyw7kg5NILWboEjjHf3Hm86bQDfv/r5K27I04TKnc8syVDKQsES5k8Sno5pHa8xzkozU6CTKsU1R8CTFFiPiAQEQAIHlEkBrvNzaI/OABFK7CYo03v3PyJoFaxA/TiMjVS63ZBAscwrcHwPyEa1EZxBJfLCq+Ty3LDFvfoJRqD2W9saiupM0QbHgEgRAAARAQEoArbGAxfbtc4IZDDUIeGPtzbBGUgqV1G6CIo335XHkl0oHu3nfXRQ7YfS0JYNQmVN+H/4YkJNoJTqDSOKDVc3nuWWJefMTjALtscQ3FtWdpAmKBZcgAAIgAAJSAoatsWHPYagujTDwJJ6swgH3xtqbYXs2EYY0mMxQvK/VlzzXZ3fY0eO2+w3TNnL3DdU26/XWnLx1xnluyyBM5sTHJ4PBzRvFQTqDSOIDU80zLdsSE/yJpCB7LPGNRXUnid8ZGIEACIAACExHwLA1NryUG6pPh4E864ecYN9PaUYh6bM2DNebYcM4Ouqp7ZbU4u2gHhQDva41GMM0B5eb+TS86SJEEh+Jap7XSmmEPaZTLao7STrroAMCIAACIBCCAFpjgbL+k5W+puACw5qAN4LeDKN0qRNY7s37cjOfZs/SRYgkPhLVPK+V0gh7TKdaVHeSdNZBBwRAAARAIAQBtMYCZf0nK31NwQWGNQFvBL0ZRulSJ7Dcm/flZj5uz9q+f4IuQiTxkajmea2URthjOtWiupOksw46IAACIAACIQigNRYo6z9Z6WsKLjCsCXgj6M0wSjc5AdtOpQ58uTfvy8183J61vZjQOpL4SFTzvFZKI+wxnWpR3UnSWQcdEAABEACBEATQGguU9Z+s9DUFFxjWBLwR9GYYpZucwMjanjdvX83jbXOePJ1wAdSZPxbZLyvzcYxtNxytI4mPRDXPa6U0Wu7ZZVIlqjtJJuuhCwIgAAIg4JMAWmOBrv6LUnhaE9AZD/VZG5r2ZtgwjnmqT0t35Gl35r65d1mtcTf1JWU+7jS03XC0jiQ+EtU8r5XSaLlnl0mVqO4kmayHLgiAAAiAgE8Chq2x4V2xobrPRN3bxtOae6awmACBaTf+SO/Xc/cx8o8kJ1AsCrHOfFPlv6TMiYGNZLvhaB1JvH/VPK+V0mi5Z5dJlajuJJmshy4IgAAIgIBPAoatsc9QUrM9674/tWJEH29qu2Ug3mnv5zx6f3uPfhuND1DKbxGZW7KTAtOwRetI4pep5nmtuYywx5pKUt1Jao7hJwiAAAiAwNQE0BpPXQH4XwSB1G6CBuIdOBSglHbeHwda/Tbo+4dWnI8gZi7lN8vMHdVQCkzDNq0jiV+mmue1EhiJe0waMvZYg4XqTlJzDD9BAARAAASmJoDWeOoKwP8iCKR2EzQQ78ChAKW08373qBHaLG/excyl/GaZuUbFdVR0fqkis0OgSeL1VPO8VgIjcY9JQ8Yea7BQ3UlqjuEnCIAACIDA1ATQGk9dAfhfBIHUboIG4h04FKCUhp3K5X5/ePh922xPp9/8zAZPfyzI1/3hX/kGz8+7/em7iLqYmdfNuyLzzfwzD7ALNVzQaUISv0w1z2vFPFLssQWcXWOqQnUnaYw9rAUBEAABEHBJAK2xS5qwBQIKAqndBA3EO3BIkfyE0+vHr8/nn+/93cfHNX99/fo8HPL8ef3+ebdhb59+X71+Pa8urDNevX0ei5n5PBSZ388/8zhqSKcJSXxkqnleK+aRYo8t4OwaUxWqO0lj7GEtCIAACICASwJojQWahi9KCasxNCHgjbU3wybZ8bqp3QQNxBshXZ51Z/ST/ZYjesvnX3bJV+95fl2zRnj9xo4+3FfCdTWn1ni5mXfKP6VIZxBJfDyqeV4r4hH2mFVxqO4kWRnCIhAAARAAAQ8EDFtjw7tiQ3UP+RmbxJOVMTLrBd5YezNsnWoeYUiDyaQWryqZ3fbpix2rWuO/5+Nul31esp9i6iG/ZI/Pz2wu/ylnjnNqjfPlZq7aC2Hn6QwiiY9ANc9rxTzCHrOpDtWdJBs7WAMCIAACIOCDgGFrbHgpN1T3kaCpTf2QE+z7TWF41tdnbRiIN8OGcXTUU9stqcXbQc2J1/fTavtTt8b7u6/LJftoW+Pv7OmFPd5Yj1y8uHyaVWu83My5DTDZgC5CJPHBqOZ5rZhH2GM21aG6k2RjB2tAAARAAAR8EEBrLFDVf7LS1xRcYFgT8EbQm2GULkEC191T1Rr/Fq8N/2Qf1+yDpcE+WfxXCky+Zp/s/+2sWuMircVmzpKf+kEXIZL4mFTzvFbkI+wx4wJR3UkyNoIFIAACIAACngigNRbA6j9Z6WsKLjCsCXgj6M0wSpcYgV/2buq/7Wv+ePi7sgb4Lb8eWTv8sD3/PhafLL7fsq/gujCd0/4vf8vm1BovN3PHW9T2/RN0ESKJD001z2tFPMIesyoO1Z0kK0NYBAIgAAIg4IEAWmMBqv6Tlb6m4ALDmoA3gt4Mo3STEzDrVC7rbJOdrvnPYcW+fust26xeVx/59X61fjo9sZdVH7L1av2e57/7bH2c1Ruql5u54y1qezGhdSTxoanmea2IR9hjVsWhupNkZQiLQAAEQAAEPBBAayxA1X+y0tcUXGBYE/BG0JthlG5yAqa1/b0Uf8i4flwv10bMt8W3U+fXy28181N8NdesHvLM2a8WZp+50zKabrjGOa0jqTlW/VTN81pRj+R7jIWMPaauG9WdJLU2joAACIAACIQlgNZY4K3/ohSe1gR0xkN91oamvRk2jGOe6tPSdXHafb9fvu/X1CXPs06yrL7fNwvNXEZDa852w9E6kniHqnleK7nRcs8uzVJR3UnSXAo1EAABEAAB7wQMW2PDu2JDde/ZOnWApzWnOGEsFQLTbnwX3i/H7fY0u1eJdfbP5bhZaOY6dKQ6thuO1pHEO1DN81rJjZZ7dmmWiupOkuZSqIEACIAACHgnYNgae48nIQez7vsTqkMaoaa2WwbinfZ+blrvaWy2oSjBb4iO5JgtMFpHEm9eNc9rYTQ3AlR3kuaWI/IBARAAgXQJoDVOt3aIPCECqd0EDcQ7cChAQab1HiBBzy7AzxCwLTBaRxLvWjXPa2E0NwJUd5LmliPyAQEQAIF0CaA1Trd2iDwhAqndBA3EO3AoQEGm9R4gQc8uwM8Q8MD7JwYtEWiS+AWqeV4Lo7kRoLqTNLcckQ8IgAAIpEsArXG6tUPkCRFI7SZoIN6BQwEKYtupBAgtCRfTVi8JRG6CJNAk8ZZV87wWRnMjQHUnaW45Ih8QAAEQSJcAWuN0a4fIEyKQ2k3QQLwDhxIqyFJDxa8WAlWeThOSeNeqeV4Lo7kRoLqTNLcckQ8IgAAIpEsArbFQO9w5CkA8Dr2x9mbYHkZqN0ED8UZI174uWAkCfgjQGUQS70k1z2thNDcCVHeS5pYj8gEBEACBdAkYtsaGd8WG6jFgxJNVuCp4Y+3NsD2bCEMaTCa1eAeTwUEQCE6AziCS+CBU87wWRnMjQHUnaW45Ih8QAAEQSJeAYWtseCk3VI8Bo37ICfb9MQDuxKDPurNIR/RmWMe5XCe13ZJavHLqmAWBqQjQRYgkPhbVPK+F0dwIUN1JmluOyAcEQAAE0iWA1lionf6Tlb6m4ALDmoA3gt4Mo3QgAAIgoEOALkIk8etU87wWRnMjQHUnaW45Ih8QAAEQSJcAWmOhdvpPVvqaggsMawLeCHozjNKBAAgsi4Dt+yfoIkQST041z2thNDcCVHeS5pYj8gEBEACBdAmgNRZqp/9kpa8puMCwJuCNoDfDKN3kBGw7lckDRwBpErC9mNA6kngCqnleC6O5EaC6kzS3HJEPCIAACKRLAK2xUDv9Jyt9TcEFhjUBbwS9GUbpJieA2o4rAX61YMjPdsPROpJ416p5XgujuRGgupM0txyRDwiAAAikSwCtsVA7/TtHPK0J6IyH+qwNTXszbBjHPNWnpYvTbtyuAj9DfrbAaB1JvGvVPK+F0dwIUN1JmluOyAcEQAAE0iVg2Bob3hUbqqeFEU9radUL0ToiMO3Gn9a7I4QTmgE/Q/i2wGgdSbxr1TyvhdHcCFDdSZpbjsgHBEAABNIlYNgap5uo+8hn3fe7x7Vwi6ntloF4p72fm9Z7+rsY/AxraAuM1pHEu1bN81oYzY0A1Z2kueWIfEAABEAgXQJojdOtHSJPiEBqN0ED8Q4cClCQab0HSNCzC/AzBGwLjNaRxLtWzfNaGM2NANWdpLnliHxAAARAIF0CaI3TrR0iT4hAajdBA/EOHApQkGm9B0jQswvwMwQ88P6JQUsEmiR+gWqe18JobgSo7iTNLUfkAwIgAALpEkBrnG7tEHlCBFK7CRqId+BQgILYdioBQkvCxbTVSwKRmyAJNEm8ZdU8r4XR3AhQ3UmaW47IBwRAAATSJYDWON3aIfKECKR2EzQQ78ChhAqy1FDxq4VAlafThCTetWqe18JobgTaup+3c0sN+YAACIDADAigNRaKiDtHAYjHoTfW3gzbw2hvh+xNBF05EG+EdIOigTMQ0CBAZxBJ/DLVPK+F0dwINHU/785zSw35gAAIgMAMCBi2xoZ3xYbqMfBsnrZiiGXuMXhj7c2wfUUiDGkwmdTiHUwGB0EgOAE6g0jig1DN81oYzY1AXXd0xnMrLPIBARCYCQHD1tjwydxQPQam+iEn2PfHALgTgz7rziId0ZthHedyndR2S2rxyqljFgSmIkAXIZL4WFTzvBZGcyNQ1R2d8dzqinxAAATmQgCtsVBJ/dsVfU3BBYY1AW8EvRlG6UAABEBAhwBdhEji16nmeS2M5kagrDs647mVFfmAAAjMhgBaY6GU+rcr+pqCCwxrAt4IejOM0oEACCyLgO37J+giRBJPTjXPa2E0NwJF3dEZz62qyAcEQGA+BNAaC7XUv13R1xRcYFgT8EbQm2GUbnICtp3K5IEjgDQJ2F5MaB1JPAHVPK+F0dwIsLqjM55bUZEPCIDAjAigNRaKqX+7oq8puMCwJuCNoDfDKN3kBFDbcSXArxYM+dluOFpHEu9aNc9rYTQ3Aht0xnMrKfIBARCYFQG0xkI59e8ccWMjoDMe6rM2NO3NsGEc81Sfli5Ou3G7CvwM+dkCo3Uk8a5V87wWRnMjsMFrxnMrKfIBARCYFQHD1tjwrthQPS2yuLFJq16I1hGBaTf+tN4dIZzQDPgZwrcFRutI4l2r5nktjOZGYIO/Zzy3kiIfEACBWREwbI1nlfvIZGbd949kg+UigdR2y0C8097RT+tdLGt6Y/AzrJktMFpHEu96g8cyCZz5fYARCIAACIBATATQGsdUDcQyWwKq2+NYEx6Id+BQgGym9R4gQc8uwM8QsC0wWkeSoWuogwAIgAAIgAAIBCaA1jgwcLhbJoHUbo8H4h04FKC203oPkKBnF+BnCHjg/RODlgg0SYMLcBAEQAAEQAAEQGByAmiNJy8BAlgCgdRujwfiHTgUoJK2nUqA0JJwMW31kkDkJkgCTZIby7ACAiAAAiAAAiDgiwBaY19kYRcEOgRSuz0eiHfgUCdhiHESwK8WAtWFThOSArmGGxAAARAAARAAAUsCaI0FcLhzFIB4HHpj7c2wPYzUbo8H4o2Qrn1dsBIE/BCgM4gkP55gFQRAAARAAARAwBUBw9bY8K7YUN1VUmPs4DZmDD2ztd5YezNsll9XO8KQuuH15E197r5W3yGLUQ4Sdnuit7UWMkFnPEkLSR1pggAIgAAIgECyBAxbY8MneUP1GCjqh5xg3x8D4E4M+qw7i3REb4Z1nMt1sFvkXDA7cwIRnothiFPiJIXxDC8gAAIgAAIgAAK2BNAaC+T0b2P0NQUXGNYEvBH0ZhilAwEQMCKw2HOREifJiByUQQAEQAAEQAAEghNAaywg17+N0dcUXGBYE/BG0JthlA4EQMCIQPLnou37PShxkozIQRkEQAAEQAAEQCA4AbTGAnL92xh9TcEFhjUBbwS9GUbpJidg26lMHvhCA0i+XrYXE1pH0kL3ANIGARAAARAAgWQIoDUWSqV/G6OvKbjAsCbgjaA3wyjd5ARQ23ElSL5VHZe++WrbDUfrSDL3jhUgAAIgAAIgAAIhCaA1Fmjr3znihkdAZzzUZ21o2pthwzjmqT4tXZx243YV+BnyswVG60gydA11EAABEAABEACBwAQMW2PDu2JD9cC5j3SHG56RALE8TQLTbvxpvadZsW7U4NeloSHbAqN1JGm4gwoIgAAIgAAIgMCEBAxb4wkjjc71rPv+6GinHtCMdsu0d/rTek99G+Y5+BnW0BYYrSPJ0DXUQQAEQAAEQAAEAhNAaxwYONwtk8CMbo+nTWVa7+lvXvAzrKEtMFpHkqFrqIMACIAACIAACAQmgNY4MHC4WyaBGd0eT5vKtN7T37zgZ1hD2/d7EGiSDF1DHQRAAARAAARAIDABtMaBgcPdMgnM6PZ42lRsO5Vlbrt+1qGrt9h6EWiS+uXADAiAAAiAAAiAQEwE0BrHVA3EMlsCM7o9nlEqs91u6sRCt6qL3S2UOEnqsuAICIAACIAACIBADATQGgtVCH3nKLhf1NAba2+G7cszo9vjCOna1wUrPROY0cY3I0WJk2RmAdogAAIgAAIgAAKhCRi2xoZ3xYbqoZOX+cNtjIyKnzlvrL0ZtucQYUj2yWAlCOgSWOzGp8RJ0oUGPRAAARAAARAAgWkIGLbGhk/yhurTIOC96oecYN/Ppzr5SJ+1YajeDBvG0VHHbunAgLgcAhGei2HgU+IkhfEMLyAAAiAAAiAAArYE0BoL5PRvY/Q1BRcY1gS8EfRmGKUDARAwIrDYc5ESJ8mIHJRBAARAAARAAASCE0BrLCDXv43R1xRcYFgT8EbQm2GUDgRAwIhA8uei7fs9KHGSjMhBGQQSIXBNJE6ECQIgAAI6BNAaC5T0b2P0NQUXGNYEvBH0Zhilm5yAbacyeeALDSD5etleTGgdSYo9cN5u8ACBhAmgN1ac2pgGARBIkQBaY6FqN29jWn19zXYJBI6AN4LeDHPhYzAFAdR2HPXkW9Vx6Zuvtt1wtI4kuffz7iw/gFkQSIDAeXdrhyeQBEIEARAAgZYAWuMWRSXo3zni6UBAZzzUZ21o2pthwzjmqT4tXZx243YV+BnyswVG60iSukZnLMWCyUQIsP17Y4cnkgjCBAEQAIGKgGFrbHhXbKieVlHwdJBWvRCtIwLTbvxpvTtCOKEZ8DOEbwuM1pEkc43OWEYFc6kQKPbv8A5PJRPECQIgAAIVAcPWGNiIwKz7fkoTkhMCM9ot094HTevdyV6Y1Aj4GeK3BUbrSJK4RmcsgYKpZAiU+3dwhyeTCgIFARAAgYoAWmPsBBAIQGBGNw/TpjKt9wA7xbML8DMEbAuM1pHUd43OuM8EM+kQqPbv0A5PJxdECgIgAAIVAbTG2AkgEIDAjG4epk1lWu8BdopnF+BnCNj2/R4EmqSea3TGPSSYSIhAvX8HdnhCySBUEAABEKgIoDXGTgCBAARmdPMwbSq2nUqAGifhInT1FlsvAk2SuEPQGYtEME6JQLN/1Ts8pWwQKwiAAAhUBNAaYyeAQAACM7p5mFEqAQofm4vQrepidwslTpKwGZrOQpjGEASSINDuX+UOTyINBAkCIAACPAG0xjyPPPSdo+B+UUNvrL0Zti/PjG4eIqRrXxes9ExgRhvfjBQlThJvoe0s+GmMQCAJArR/VTs8iTQQJAiAAAgIBAxbY8O7YkN1IbZJhrjIh8PujbU3w/ZsIgzJPhmsBAFdAovd+JQ4STy0DR4gkDKBc7OfVTu8OY6fIAACIJASAcPW2PASaKgeAzj9kBPs+2MA3IlBn3VnkY7ozbCOc7kOdoucC2ZnTiDCczEMcUqcJN6zap7XwggE4iRA+5ekOCNFVCAAAiBgQgCtsUBL/yKvrym4wLAm4I2gN8MoHQiAgBGBxZ6LlDhJPDnVPK+FEQjESYD2L0lxRoqoQAAEQMCEAFpjgZb+RV5fU3CBYU3AG0FvhlE6EAABIwLJn4u27/egxEniyanmeS2MQCBOArR/SYozUkQFAiAAAiYE0BoLtPQv8vqaggsMawLeCHozjNJNTsC2U5k88IUGkHy9bC8mtI4kfg+o5nktjEAgTgK0f0mKM1JEBQIgAAImBNAaC7T0L/L6moILDGsC3gh6M4zSTU4AtR1XguRb1XHpm6+23XC0jiTeu2qe11rO6Pf7myXb/Z/P/fn+vZn4frq//+mMm3nu509hbuzju3r85LkTc2PDiWk97V+SYooPsYAACICAHQG0xgI3/TtHPB0I6IyH+qwNTXszbBjHPNWnpYvTbtyuAj9DfrbAaB1JvGvVPK+1nNFblv3m+V2WsT70lO16ie+y+3rukrHHN417quXEaSWff9ndFQfqH3KdZvav8MQezLPKXKO6uJ+0f0laHAQkDAIgMEMChq2x4V2xoXpafPF0kFa9EK0jAtNu/Gm9O0I4oRnwM4RvC4zWkcS7Vs3zWssZsYb3I89XWfae55vsoZc4tcKvWfaX5zTuqZYTql72IdsWx+sf8rXN7PXIHvsse0Zr3CBpf9L+Jak9CAEEQAAEkiVg2Bonm6eHwGfd93vgtWyTM9ot094HTes9/U0MfoY1tAVG60jiXavmea0FjdbZY/6dbVlX/JNl//L887TbP7KXkPOn09vH4a5shZ9Oj9eXXZadTnVrXCt9nVgv/XZ6z/P7U/33dovWuFy5f2E23k+H3eGZddRP22x1Op3rH4WTcrp2Uvz4PJYrWvIv5cvZqk67VVuaQPuXpKUxQL4gAAJzJIDWeI5VRU7REZjRzcO0qUzrPbp9ZRwQ+BkiswVG60jiXavmea1YRpv6t3uvm/LhY7Rn76J+y97WtQfWkbKXkOvRKtsWrfG+OsbmM9YaH5rR+vLNXtltRkU3nddxrjZMNXtsRvvixeZs1Whm78zJthptWVPOXk+uR6eKe73uwEbvj41NH7lLbVYxxPo/7V+SYo0VcYEACICAPgG0xvqsoAkC1gRmdPMwbSrTereufzQLwc+wFHXPYriKvSW4XUFSO1UKqnleK5ZRgGiL90mfsssx+33INvkve2k4/1ln7IPBrJt9vnyx1vgu27K+9+8pW/3+lq8ak9I6ey8+GHx9YUvpsctW3/l98apv8Z1cn+wTyvnffbb9/b1WP9jL0y/537p4w3TlpPjx9ce67jy/skdhiX0G+lL8xIMnQJxJ4jUwAgEQAIEUCaA1TrFqiDk5AjO6eZg2FdtOJbkd4yng0NVbbL0INEl8TVXzvFYsowDRnrPsc7POn7OPLXuB+CPL2DujH7JV0bWyV3uLppU1tQWP52KSjbtKp+z+I7vPvu64Tynvis66sJt/n7abdflp5u5njZmTu9NpXXTClRP241h9DpmtYp0287MtbODRI0A7gqSeEiZAAARAIDkCaI2TKxkCTpHAjG4eZpRKijtpZMyhW9XF7hZKnCS+dqp5XiuWUYhoV9mJtaFf7P/sLf9XvMSbP7J3TpdNcNUar8rPEVNrTEpv2eYx+8meV8WnlNvHjr3ynBff7/W7ynaPD+VHmLutMVu/LR5Mq+i02aP8Ubxq3bTGVYveWoTQEKAdQVJzDD9BAARAIF0CaI2F2oW+cxTcL2rojbU3w/blmdHNQ4R07euClZ4JzGjjm5GixEniLajmea1YRiGiPbDXaV/za/Fy7YV9IRfrj/Pi88dta8zeUM3eH9191ZiU2FujN/t8y14YLl9YrrHtirdXs3dEf7MG97d4QzXrmx+rt1yXP9j6T6Z6ZWvE1rgBfyhfsm5G+NkSoB1BUnsQAgiAAAgkS8CwNTa8KzZUj4EiLvLhquCNtTfD9mwiDMk+GawEAV0Ci934lDhJPDTVPK8VyyhEtM+sJ2YvC7M/lrRiaR+y1QNrlt+brpX1rtdDtmaf+6VXjTtK7Pu2ntj7r/k/iMzehL1nHzXeF68Bn16YCmuNWae8P/zWP47Z+unlYc1uVRStMVvI/qQUHn0CtCNI6mthBgRAAARSI2DYGhteAg3VY4CnH3KCfX8MgDsx6LPuLNIRvRnWcS7XwW6Rc8HszAlEeC6GIU6Jk8R7Vs3zWrGMQlzBvqqe+Il9AJilzb6Si31BNXvlmF41zq/7ojfutMakxLriz+Jd2I9dYuwN1XfsPdOsnWZGV6wpZq3xlX22mL0qXf1g38bFHvuvxknlq3hDdf1g3/zViAF/hqA9Np0WUecr58baxHoQAAEQmJ4AWmOhBnS5Fw70hvqavaWYKAl4I+jNMAoHAiBgRGCx5yIlThJPTjXPay15dL2Uf4dpGMGgUvFS8C9rjNnj71J+33TPGFsvP9DTDDiRwt6gGEkKiAiuQAAEQMATAbTGAlj9i7y+puACw5qAN4LeDKN0IAACRgSSPxdtX7+jxEniyanmeS2MxhCo3yU9xsQka1PYGxQjSZPAglMQAAEQcEoArbGAU/8ir68puMCwJuCNoDfDKN3kBGw7lckDX2gAydfL9mJC60ji94BqntfCaAyBw5p7f/UYU0HXprA3KEaSgkKCMxAAARDwQgCtsYBV/yKvrym4wLAm4I2gN8Mo3eQEUNtxJUi+VR2Xvvlq2w1H60jivavmeS2Mlkgghb1BMZK0xFohZxAAgbkRQGssVFT/zhFPBwI646E+a0PT3gwbxjFP9Wnp4rQbt6vAz5CfLTBaRxLvWjXPa2G0RAIp7A2KkaQl1go5gwAIzI2AYWtseFdsqJ4WXDwdpFUvROuIwLQbf1rvjhBOaAb8DOHbAqN1JPGuVfO8FkZLJJDC3qAYSVpirZAzCIDA3AgYtsZzS39MPrPu+8eAwVoJgRntlmnvg6b1LqlsYlPgZ1gwW2C0jiTetWqe14plNKMrWCxIB+JIgTbtX5IGUsIhEAABEEiEAFrjRAqFMNMmMKObh2lTmdZ72puwiB78DGtoC4zWkcS7Vs3zWrGM0oo2FmpzjoN2BElzzhe5gQAILIUAWuOlVBp5TkpgRjcP06YyrfdJ95AT5+BniNH29TsCTRLvWjXPa8UySivaWKjNOQ7aESTNOV/kBgIgsBQCaI2XUmnkOSmBGd08TJuKbacyafUjch66eoutF4Emid8HqnleK5ZRWtHGQm3OcdCOIGnO+SI3EACBpRBAa7yUSiPPSQnM6OZhRqlMuiWmcR66VV3sbqHESeJLrprntWIZpRVtLNTmHAftCJLmnC9yAwEQWAoBtMZCpUPfOQruFzX0xtqbYfvyzOjmIUK69nXBSs8EZrTxzUhR4iTxFlTzvFYso7SijYXanOOgHUHSnPNFbiAAAkshYNgaG94VG6rHAB0X+XBV8Mbam2F7NhGGZJ8MVoKALoHFbnxKnCQemmqe14pllFa0sVCbcxy0I0iac77IDQRAYCkEDFtjw0ugoXoM0PVDTrDvjwFwJwZ91p1FOqI3wzrO5TrYLXIumJ05gQjPxTDEKXGSeM+qeV4rlhGuYCErkQJt2r8khWQEXyAAAiDghwBaY4Gr/kVeX1NwgWFNwBtBb4ZROhAAASMCiz0XKXGSeHKqeV4LoyUSSGFvUIwkLbFWyBkEQGBuBNAaCxXVv8jrawouMKwJeCPozTBKBwIgYEQg+XPR9vU7SpwknpxqntfCaIkEUtgbFCNJS6wVcgYBEJgbAbTGQkX1L/L6moILDGsC3gh6M2xQutd/Bsr6qi8fg7pv74OHVQe1g/39/lPZkM7rGr58fPxKDfQmbTuVniFMBCGQfL1sLya0jiSeuGq+q+X+BOpaL2VdF72FwxOJXamGkwl+VGdvBA9KcEgxkiSoYAgCIAACCRJAaywUTf8ir68puMCwJuCNoDfDBqW7fzJQ1lc9Dpu9f9A31dEsgn283cT8W2eZWcevaXifbbfZcycgtRhDbdXRxX/kdpXjzyFohLYbjtaRxAeumu9quT+ButZLGVeqHpLpJ3T2xtRRUowkTR0T/IMACIDAeAJojQWG+neOeDoQ0BkP9VkbmvZm2DAOD+p+WuMi0LvHm+Ge//2w1tiUrobhV/Za9Ht2vhkAU8Bpp0NJrQN+ajbSI7bAaB1JvAPVPK+ldWYanECidV/jCK5UvlILYFd3bwQIRemCYiRJqYwDIAACIJAMAcPW2PCu2FA9GWploHg6SKteXqM93+8PT+V7jd+Pu/sf5uv1Xe7w825/+maHXv697Q+FzoUtfWDvJn7dH/7dfj/08ale1nh8+fd+KO2UBopXjRuDcv/SWRbs22Z7OrEw6vhYeIfDJ7N5/OJWsNbYZOPrG87zTEGM82/knV+JUUHApHogNgIYgSaJB6qa72o5P4Ga6wb7XdTsr1RdkInJOntj6pQoRpKmjgn+QQAEQGA8AcPWeLzD+ViYdd8/nzKFyeT19evzcGC+3lavn3dr1iQLr5U2u+V99fr1vLrk+XFz+nwt3p68fvz6fP7Jn9fvn3ebm++Hbpc1Ho+b+8+XjPWvr6u3z2NhoDZokjgL9nt/9/FxzZv4CrNP2cPD5+Oq7Pgba4atsb7h/IJXjRvIPn/iLtaQri0wWkcS71o139VyfgI11w3llarx3lwJmivVa3NhSedK1aSS4M/m+SLm0Gn/khRzvIgNBEAABPQIoDXW4wQtELhF4C9jHe+6uKfZPPda4+bmYf3Gjj/cs9Z4y4SnXf6TsZdq2WP1nufX9e3WuF5Wrik8HvdMPD4yz8zydfXQGiw1NP8r+vjiX2WliK80uyma/TX36WLz1ljTcL4/agXbgNRShlKPAPj1kAxP2AKjdSTxnlTzXS39M1P3BGLWB69UjXfxSrVJ70rVpIKfXgjQ/iXJiyMYBQEQAIGgBNAaB8UNZzMl8Pd83O2yT9aXsvY4f7hrOs023frm4ZI9Pj8zXdbNFl3wV3bNd9sn9prvJSvehX13uzVuljUei644fzwxz4WBwmplkA30H+0NeBtfafZQfOfXjnsBw7Y1vmn4tPvTihd3YVqYlErgp0QjP8Btf7mKdJZAk8Qrqua7WvpnpuYJ1Fw3lFeq2nt7wjZXqk16V6ouSMjOCdD+Jcm5ExgEARAAgeAE0BoHRw6HMySwv/u6XLKPusN9ZC+AVi/CtqnWNw/f2dMLe7AXeMve85z95df302r7o90aF51wsazxWH7bzeMd8/zLjpxYa1wZbD3rCO0NeBtfafbwzBa7aY1vGT5ti/A1HradiobpRaiEvotdbL0INEn8DlPNd7W0z0zdE6i5blQXHMmVqvbenrDNlWqT3pWqCxKycwK0f0ly7gQGQQAEQCA4AbTGwZHD4fwI/BYv2f6w1vjKXjnO8wNrUOWt8R/TqR7H4v3D76tycN09XcsDGp81rpe1HpvWuPK8ZZ7Zgxksf+r+196At/G5bo1vGL7faHbGuhlBT0EgdKu62LtmSpwkviaq+a6W7pmpewK11w3llar23p6weX2lKqNN60rVBQnZOQHavyQ5dwKDIAACIBCcAFpjAXnoO0fB/aKG3lh7M6wqzzV7y6/Horu93/3m/zL2FdTy1ji/37J3XF/YO6gL7d/tU/7L5L/ta/6wPf8+so8K33g0y1qPTWucn/Z/+Vv20Bq8YYg7XAT7ePi7svjr+KSt8ZW9Mv56eeGWDg80DT+sPi+Xi947qocd4mhkBBZ710yJk8TXRjXf1XJ9ArXXDeWVqvHeXAmaK9UmvSsVft3WFNPLT9q/JHlxBKMgAAIgEJSAYWts2HMYqgfNXOEMF3kFGA/T3lh7M6yE8JZtVq8r1hr/HbL1qtj3itb4+sCOr9+LTwXv19nxml/W2SY7XfPr/Wr9dLr5Ym+zjHXBlce2Nf7dZ+sje0N1Y1AZq+RAEezPYcU+KN3EJ22Nv7LicbN97zjQNFzazZ47CyHOhED4czEScJQ4SXxoqvmulvMTqLluKK9UjffmStBcqTbNhWWeV6ombfzUJkD7lyTtxVAEARAAgWgJGLbGhpdAQ/UYKOmHnGDfHwPgTgz6rDuLdERvhtXOrxf2kmv5+G2lrjbtluulfDGD9Z4/xRdn5fkvvVy6Lb6/+tajXkYemwX1ga7B5pDBzzo+gxWaqt4Ma/qH2hQEJjgXp0iz75MSJ4nXUs3zWjRycwLRdUN+per5q69U7Aq2lCsVIZhMoueLyUK46Zj2L0k3F0EBBEAABKIngNZYKJH+RV5fU3CBYU3AG0Fvhh2WrnxZtmPv+/3yfb9u+uvOAYggkDCBFM5FL3gpcZJ4R6p5XmvyEa5UE5Qghb1BMZI0ASq4BAEQAAHHBNAaC0D1L/L6moILDGsC3gh6M+ywdKcX3tjluN2eqpeR+QPTj35P1cP5R/e8GZ6eGSKoCaRwLg4Wy/b1O0qcJN6Rap7XGhoFOYFwpRoqgadj4/eGp8A6ZilGkjqHIYIACIBAogTQGguF07/I62sKLjCsCXgj6M3wMkt3/awezl/StjFs26kss3TTZ518vWwvJrSOJL4cqnlea2hkcwIN2Uv92Hx4jN8b/mtJMZLk3ys8gAAIgIBvAmiNBcL6F3l9TcEFhjUBbwS9GY6ndD/vC/0+5wXU1usuS75V9UpHYtx2w9E6knjzqnleC6MlEkhhb1CMJC2xVsgZBEBgbgTQGgsV1b9zxNOBgM54qM/a0LQ3w4Zx+FQ/707/fNpX256WLk47dWV0joCfDqWOji0wWkdSxywTVfO8FkZLJJDC3qAYSVpirZAzCIDA3AgYtsaGd8WG6mnBxdNBWvWaW7Tn7Wb7PEVS0278ab1PwdutT/Az5GkLjNaRxLtWzfNaGC2RQAp7g2IkaYm1Qs4gAAJzI2DYGs8t/TH5zLrvHwMGayUEPOyW8/aw2dw7/24sSfD81LT3QdN650mkOAI/w6rZAqN1JPGuVfO8ViwjD1ewWFKLMI4UaNP+JSlClAgJBEAABAwJoDU2BAZ1ELAh4OPm4by732w2x2+beEas8ZGKfjjTetePM1ZN8DOsjC0wWkcS71o1z2vFMkor2liozTkO2hEkzTlf5AYCILAUAmiNx1X6lfUm7FH/jhcjkMhz6S6obx6kx6x3z9u22HzbcL1x+celylQm+zNTuAsbd8UCP0N+tq/fEWiSeNeqeV4rllFa0cZCbc5x0I4gac75IjcQAIGlEEBrvJRKI89JCfi4eSg+bXzYvQb8qur3M4NYpHJ+n4qmbacyVbyx+fWxEYdyXGy9CDRJPCjVPK8VyyitaGOhNuc4aEeQNOd8kRsIgMBSCKA1XkqlkeekBDzcPJw32/0x7LdU/+1Yb8xSOe8C9uOT1m12zkO3qh42fho1ocRJ4iNXzfNasYzSijYWanOOg3YESXPOF7mBAAgshQBaY6HSoe8cBfeLGnpj7c2wfXnc3zyc2XdwFS/iBn3cb8/5a37ePAX1CmfpEnC/8RNhQYmTxIeumue1YhmlFW0s1OYcB+0IkuacL3IDARBYCgHD1tiw5zBUjwE6LvLhquCNtTfD9mych3TePU3wed/vDeuN2Ru5J3Btzx4rJyTgfONPmIuRa0qcJN6Aap7XimWUVrSxUJtzHLQjSJpzvsgNBEBgKQQMW2PDS6ChegzQEww5BmxWMXhj7c3wUJrXc/dxFVR7vyUaVhdW94c/7+wtzSNt9K02M2rD+92OffnXqVE0/ak2bGoJ+mkQmORcjAENJU4SH5dqntfiRy5OIEMbtfpjdXkTL2x8eKqRoUuVmf68N8N9V0Fnes8XQb3rOaP9S5LeSmiBAAiAQMwE0BoL1cFFXgDiceiNtTfDQzDYG5w7j5tvdTZUl3p2YcPQ8MfmwL7862Z2Uqts0lvEKoeYn5jAJOfixDmX7ilxkvi4VPO8Fj9ycQIZ2jBU5+OtRy5shDUs9RZu0mZvhIuu8kQxkhQ6BvgDARAAAfcE0BoLTHGRF4B4HHpj7c1wD0b54m01e968fTWPt83N5tFQvee5mHBhw9Rw8feiDtJFOpPSiP/e8f5sHXhJ6oQ7Fz3hsX39jhIniQ9RNc9r8SPpCcSr3BwZ2jBUl7p3YSOsYam3cJM2eyNcdJUnipGk0DHAHwiAAAi4J4DWWGCKi7wAxOPQG2tvhvswzru7r2r2vPm6No8vndbYSL3vmc0YupTakE4OGH7ZbHb2X4stMXw5Gb0IbdupSPPEpHcCydfL9mJC60jiaavmeS1+JDmBeAWNkaENQ3VpAC5shDUs9RZu0mZvhIuu8kQxkhQ6BvgDARAAAfcE0BoLTHGRF4B4HHpj7c2wBAb7TqrdezFvePdnqC7xbOxSakM6ORQca42la7Qme4Y/D5vbv0bomg5Z267fucjJt6qhC2G74WgdSXzsqnleix/1TiD+sNbI0IahujQEFzbCGpZ6CzdpszfCRVd5ohhJCh0D/IEACICAewJojQWmuHMUgHgcemPtzbAMxnnLPnz7dF1Ma/ywGYFXuEV+221MP7iMuzDZJtSfAz99VqWmLTBaRxLvWjXPa/Ej4QTiD2qODG0YqkuDcGEjrGGpt3CTNnsjXHSVJ4qRpNAxwB8IgAAIuCdg2Bob3hQbqrtPDxZBwDuB827PPn97/7GMN1Tnv1v23di2j+4t8kf5rWVG76ZmbnEXZsu+Wgd+hvxsgdE6knjXqnleix91TyCNj23wi+uRoQ1DdRcupTakky6CkxqeeNJmb4QOmWIkKXQM8AcCIAAC7gkYtsZVAK/VN/HWjS9GzctoILE4Et/H6lwo/+9+eLgzrRIN1aVmXNiYyPBX8YVe7QMXkzzQ5cP9k8i8Ldre9tM6knhSqnlei43GXGXaM6wrGF42DNW7nlrZhY3WWFcgw480fXi5BjqdNn6e86rrYegcejtvcIL2L0mDC3AQBEAABJIgYNUaJ5EZggQB/wSOn3n+yb6y+bh7/Rp81bh38+Di5Q4XNqSMghj+2OxO99vNM4vg5/FeGodksgdSooMpEHBGwHbD0TqS+KBU87wWGxVXmfqhOjO1bTE7KhuND+GnobqwuhrKbJiELDVaTMoMs2mDC4rSNA7cIEAFJOnGEhwGARAAgQQIoDVOoEgIMVoC7J7gc7PfH9l3Nitu0urQezcPw+p6CbuwIfUUyvC/4+FY9sbXHh9pXGxSW1FlAPMgYELA9lNBtFFJ4v2q5nktNuooqs7MjkpvuTihsiHq1WNDdakVmQ2TkKVGi0mZ4WJe/4JSaONhQ4AKSJKNHawBARAAgbgIoDWOqx6IJi0Cm/yLfcy4/CPGqpu0KqHezcOwuh4FFzaknsIZPt9vNu8shh4faVxs0rZTUdnDvF8Ci60X7WiSeNSqeV6LjTqKqjOzo9JbLk6obIh69dhQXWpFZsMkZKnRYlJmuFR2Yl3pdo4HjM9UQkzSHMEgJxAAgaURQGu8tIojX5cENufd009lUHmTVh7u3TwMq+vF6MKG1FNIwz9PO/arhR4faVyYTI7AYgtLiZPEV081z2uxUUdRdWZ2VHrLxQmVDVGvHhuqS63IbJiELDVaTMoMl8pOrCvdzvGAMTFaQNIcwSAnEACBpRFAayxU3PhXp8J6DPUJeGPtzXAvt817+3XN583bV/N46/2t3t7NQ61erumr9xxJJ4ZdSpfoTQYyXH9tzt/7T/fuXy9EaKVBoLfx0wh7fJSUOEm8VdU8r8VGHUXVmdlR6S0XJ1Q2RL16bKgutSKzYRKy1GgxyRuuLyjFASfWC0OLeRgTowUkLYYWEgUBEJgxAb+tcbgWxVmJcJF3hvKmIW+svRnupdTxdKbvR2VS+R7rjnpHsZodVu+sHBBd2JCaD2q4RNPjI40Lk8kRWGxhKXGS+Oqp5nktNuooqs7MjkpvuTihsiHq1WNDdakVmQ2TkKVGi0mlYSfWlW7neMCYGC0gaY5gkBMIgMDSCPhtjRO8YiYYcrJ71htrb4Z7qDuerufu4yqo9n5LVKnfbZ7KVaK6sFoxHHapWKQz7dNw+RuEClWVdcmwA1InQOikQmCxhaXESeKLpprntdioo6g6M3vXl54RmqhtbLonIR3tSSqXPcWBCZkNk5CVppnhWV5QnMBRUpMe6Owy6fHeJC0gqaeECRAAARBIjgBaY6FkuMgLQDwOvbH2ZrgHY6Sn62a369mc+cSG3elz2MoBNzNzAotKb7GFpcRJ4iuvmue12EhbsbdyaMKP1SGPfo7N8oIyQXGMXdICkvyUGFZBAARAICQBtMYCbVzkBSAeh95YezPcgzHS09NmU/zdp0U9yhd5uhmXDEeC7NqDHBOB5Atr+/odJU4SXxjVPK/FRtqKvZVDE36sDnn0c2yWF5QJimPskhaQ5KfEsAoCIAACIQmgNRZo4yIvAPE49Mbam+EejJGetpvN4dgzOvcJAVo5FObUCGw7FbVFHPFJIPl6ae9MgSKtI4lXUc3zWmykrdhbOTThx+qQR1/HhEzKoTDny7UvuxOEb3ymUowk+eIBuyAAAiAQjgBaY4E1LvICEI9Db6y9Ge7BGOfpfbNjvbH4jV09J/OaGPkizzji80KJbAIQsN1wtI4kPlzVPK/FRtqKvZVDE36sDnn0c2zkBcVPUGOtplAcipGksXljPQiAAAhMTwCtsVAD41+dCusx1CfgjbU3w73cxt0T7La7u83+vmd11hMjPxo4jvisySI5HwRsNxytI4mPTzXPa7GRtmJv5dCEH6tDHv0cG3lB8RPUWKspFIdiJGls3lgPAiAAAtMT8Nsa1y3Ka/l73Q1GOUhgF+TtLjhvtuf8c7P5mf46EDCCkS/y4C4sYK3gyr4vpY1KEs9TNc9rsZG2Ym/l0ES4XyAORTH+2MgLyvgAfFjwU3K3kVKMJLn1AGsgAAIgMAUBv63xFBnBJwiEI6B9TyC7D71jnXHOeuOncPFG4UmAVg6FOXWc2opqEzgCAvoEbDccrSOJ96qa57XYSENRdn3p2Ylrwl3IAp9yKMzFlfrtaNzBue3LVoMQk2RrC+tAAARAIB4CaI3jqQUiSY+A9j2BRPFvV33K+Gv3l17iYyKu3kRC/xe2JHzkLrQV5csxCwJmBGw3HK0jifesmue12EhDUUOlZ9b3xHf1UL0pxl3IdCmppCIxd9Z9Y0rWPiEmKdlkEDgIgAAItATQGrcoIICAMQHtewKJ4nvz/Vvnd2O/s1sg4SPPUVtRvhyzIGBGwPb1O9qoJPGeVfO8FhtpKGqo9MyaT7zs7opF9Y8b6/+y6qH6LgW/Ifu1fiP1ZRwmxCQtI3NkCQIgMG8CaI3nXV9k55eA9j2BRJFeTSHJb7QRW5fwkUdr26nIrWHWN4HF1ot2NEk8bNU8r8VGGooaKj2z5hMP2bZYVP+4sf56ZI99lj0r9PyG7Ne6IqWkp43PVEJMUtIEEDwIgAAIlATQGmMjgIA9Ae17Am1F+1g6K99Ph93hmb1P++n09nHYv7BDJHX04hHD8okn79lHstjCUuIk8dVWzfNabKShqKHSM3tjgq4YzeXkaZutTqdz/SP/PFUXmeraclf8+DyWFxuy/JJlvzTiJA8hd+z7td5xNBvRmBgtIGk2NJAICIDAggmgNRaKb/yrU2E9hvoEvLH2ZriXm/Y9gbZiz4XNxHG122XZPs932aZ4V+NjV7Ix6H1NWD7e04GDhsBiC0uJk9RAqX6q5nktNtJQ1FDpmb0xQdeO5nLCrins8V7/eMmy7Trbsl/A7bItk5uLTffqe11nDyo3HkLuuPJrveNoNqIxMVpA0mxoIBEQAIEFE0BrLBQfF3kBiMehN9beDPdgaHvSVuy5sJn4Zos+s+yb3a2uvvP74pUbkmwMel8Tlo/3dOCgIbDYwlLiJDVQqp+qeV6LjTQUNVREs90WVjxWjOmK0VxO/u6z7e/vtfrxk2Uv+d+6eL8065WfL1/Fj6+/XXbI8yt7lCbfsuxSCpL/LEKWWFFN+bWu8pryvDExWkBSygAQOwiAAAhUBNAaCzsBF3kBiMehN9beDPdgaHu6dR/aszxq4vu03ayz7IPdrbLvzTln2WdHGmXZ12JtkL4CgF0/BBZbWEqcJB6xap7XYiMNRYvryy2rdO1oLyfdzxp/ZNnd6bQuOuFd8QaV4sex+hwyu+BkWdkbb4vrj+JhEbLCkmz6VnayNRHN+YUjTdSYGC0gSWoZkyAAAiCQFAG0xkK5cJEXgHgcemPtzXAPRjhPPdcDE7+rbPf4kGX/2N3qKc8vVZPcSAMLpzsUJ8jpeMzG82ILS4mTxFdVNc9rsZG2Ym/l0MQtq+21gy4n3db4H3sPdfFgl5VdVn4LdfnjIdsUv4urWmPWPjdfwz8UiY9jt7Lz4dOhzQnCN3ZJC0hyiACmQAAEQGAiAmiNBfC4yAtAPA69sfZmuAcjnKee64EJdkf6W7yhumiNWYTsXY3FW6sbaWDhdIfiBDkdj9l4Tr6wtq/fUeIk8VVVzfNabKSt2Fs5NHHLanvFoMvJY3ERyfPyx3fxXhT23mn2LVtia9x6PVQvJ7fjgMKt7AKGYuNqgvCNXdICkmxyxRoQAAEQiIsAWmOhHrjIC0A8Dr2x9ma4ByOcp57rgQn2qs3phX3/VtEaZ3v2UePyC7kaaWDhdIe0Qdp2KtOltmzPyddLe2cKdaZ1JPEqqnlei420FXsrhyZuWW2vHXQ5Yb9k2x9+i9+1sR/HbP308rBmBVa1xmzhx1AEPo/dys6nbwe2Jwjf+EylGElykDpMgAAIgMDEBNAaCwXARV4A4nHojbU3wz0Y4Tz1XA9NPGXZit2/lm+ovmNvfGRfhcPeHllLQwsnO6YNUltxslTgeFYEbDccrSOJB6Oa57XYSFuxt3Jo4pZVumK0l5Mr+2wx+16t6gf7Ni722H+pW+O76s8gDwXh7dit7Lw5dmM4hfApRpLcZA8rIAACIDAlAbTGAn3jX50K6zHUJ+CNtTfDvdxivSf4u1TfEFu8nvPLGuPq9rWSeknEMKENUlsxhqwQQ/oEbDccrSOJp6Ga57XYSFuxt3Jo4pZVunbkzeVEMHe9/FSXGWE+huGt7GKIcSCGFMKnGEkaSAmHQAAEQCARAmiNEykUwoySQOz3BPVbHRk7ktIGGTvxKOkiKHsCthuO1pHER6Ga57XYSFuxt3Jo4tYvECO/Ygyl5o3ZDafuDvspubv4CksUI0luPcAaCIAACExBAK3xFNThcy4EtO8Jbt2HegJyWD/Wlkny5GqcWW2Q2orj4sFqEKgI2G44WkcSz1Q1z2uxkYaih+uL7yuGh5A75DSYdbSjE/3CcZMuISbJjWVYAQEQAIEpCaA1npI+fKdOQPueYFM+6hueV4xEEiVIHS4VcR3Nam8tSzP18ynC+LVPcSF2WkcSr6Ka57XYSENRQ6VnduIJvyH7tT4xujjcE2KS4ogMUYAACIDAGAJojcfQw9qlE8A9gaMdoA1SW9FRYDCzcAK2r9/RRiWJR6ma57XYSENRQ6VnduIJvyH7tT4xujjcE2KS4ogMUYAACIDAGAJojcfQw9qlE8A9gaMdoA3StlNxFCfMGBJYbL1oR5PEs1PN81pspKGoodIzO/GE35D9Wp8YnRf3xmcqISbJS2QwCgIgAAJBCaA1DoobzmZGAPcEjgoKkONBGt/bjnd528JiC0uJk8TjUs3zWmykoaih0jM78YTfkP1anxidF/fGxGgBSV4ig1EQAAEQCEoArbGAO8rbSyHGuQy9sfZmuEce9wQ9JHYTAGnHrbsqSoZRBtWl5kumxEnifanmeS020lDUUOmZnXjCb8h+rU+Mzot7Y2K0gCQvkcEoCIAACHglIP4ZQrTGAm5c5AUgHofeWHsz3IMRzlPP9bwmAHJ8PaNkGGVQ41nftkCJk8SvUs3zWmykoaihIpoN9wtE0XM1tghZbkg669e61GXik8bEaAFJiTNA+CCQAoHztvomV/zvjoDQG6M1Fk4EXOQFIB6H3lh7M9yDEc5Tz/W8JgByfD2jZBhlUONZ37ZAiZPEr1LN81pspKFo0edqWO1F4nLCImQD91NnZxCqTNUvHJlHnV3GryPEJPEaGIEACLgncN6d3RtdtMXzTryGoTUWNoQISDiMoUMC3lh7M9xLPpynnut5TQDk+HpGyTDKoMazvm2BEieJX6Wa57XYSFuxt3Jowo/VIY8hjyWe3QThG7ukBSSFLDF8gcAiCaAzdl12RlS8hqE1FiCLgITDGDok4I21N8O95MN56rme1wRAjq9nlAyjDMqEte3rd5Q4Sbxf1TyvxUbair2VQxN+rA55DHks8ewmCN/YJS0gKWSJ4QsElkgAnbHrqhdExWsYWmOBsghIOIyhQwLeWHsz3Es+nKee63lNaIO07VTmhUuajTZD6WpPk8nXy5YqrSOJZ6ya57XYSFuxt3Jowo/VIY8hjyWe3QThG5+pFCNJIUsMXyCwQALojF0XvSQqXsPQGguYRUDCYQwdEvDGelM/y79Wn9H3OKq/BMCjB/85ROGh3gtRxOKxmg7Pnr6pOu7+AcyMIGB7laJ1JPFhqOZ5LTbSVuytHJrwY3XIY8hjiWeXQvgUI0khSwxfILA8AuiMXde8Iipew9AaC5xxeykA8TicAWvxfPJIa96mtUFqK86bF7ILRcB2w9E6kviYVfO8FhtpK/ZWDk34sTrkMeSxxLNLIXyKkaSQJYYvEFgcAXTGrkteExWvYWiNXYOGvSUREM+nJeXuNFdtkNqKTsNzY2wGvwtyAyIlK7YbjtaRxOetmue12EhbsbdyaGLeu9EPsyGeTo+lED7FSJJTCDAGAiDAEUBnzOFwMGiIitcwtMYO4MLEYgmI59NiQYxNXBuktuLYiDysTzl2DzjSMGlbNFpHEp+xap7XYiMNxQT7XL8hazDrcY5owi8cN4kSYpLcWIYVEAABCYGmj5McwpQVgZaoeA1Da2zFE4tAoCQgnk/AYklAG6S2omUgPpelHLtPLlHbti0arSOJT1Q1z2uxkYaihkrP7MQTfkP2a31idHG4J8QkxREZogCBORJo+7g5JjdJTkRUvIahNZ6kIHA6EwLi+TSTtMKnoQ1SWzF8Djc9phz7zeTmqmD7+h0VmySekWqe12IjDUUNlZ7ZiSf8huzX+sTo4nBPiEmKIzJEAQJzJFB/6yt+uCNwbvaJeA1Da9yQwU8QMCcgnk/mFrCiJKAN0rZTiYGzdpIxBOsohpTrNQoBFZsk3qBqntdiIw1FDZWe2Ykn/Ibs1/rE6Ly4Nz5TCTFJXiKDURAAAUYA55nrbUBESap8oDV2zRr2lkRAPJ+WlLvTXBcB0nOSxve2TiuoMOY5Z4XXCKYpcZL4sFTzvBYbaShqqPTMTjzhN2S/1idG58W9MTFaQJKXyGAUBECAEcB55nobEFGSKh9ojQXWUd5eCjHOZTgD1uL5NJfSBM9jESA9J+nZvN2eiDIou1TMVlHiJPEWVPO8FhtpKGqo9MxOPOE3ZL/WJ0bnxb0xMVpAkpfIYBQEQIARwHnmehsQUZIqH2iNBdYiIOEwhg4JzID1DFJwWNARphYB0vPvgqJkGGVQIzaq9lJKnCR+sWqe12IjDUUNFdGs590ouuuNLULu2VBP+LWu9pvuEWNitICkdNNH5CAQOwGcZ64rRERJqnygNRZYi4CEwxg6JFB+lr6+QXutPliPUb5MEtV5F3nuDve+D1NRXruiDMoHfdEmJU4Sr6Oa57XYSEPRos/VsNqLxOWERcgG7qfOziBUmapfODKPOruMX0eISeI1MAIBEHBHwMt5dvn4134XlX2o7/dPef7zfaksPN+/y0x9N49f2VFa9PNNx2m2sE/zbiQiSlJlGa2xQFgEJBzGEAS6BLBdujRGyCmAjD3GKOOLMqgRG1V7KSVOEr9YNc9rsZG2Ym/l0IQfq0MeQx5LPLsJwjd2SQtIClli+AKBZRHwcJ6ddxl7rL/GgnzItnl+zNaVnV12LzO4KnwVjxfZUVp0WtHxcvZld1fMdOdJY4xEREmq7KE1FriKgITDGIJAlwC2S5fGCDkFkLHHGGV8UQZlslFtX7+jxEni/armeS020lbsrRya8GN1yGPIY4lnN0H4xi5pAUkhSwxfILAsAu7PszPrU++eTqv3sSD51vhT/kL0cb/fZNl+v/8nczfQGpfW0RrLqAWbc7/5goUOR+EJYLs4Yq4N0rZTcRDnhK61otdmqGXNkVLs0G6maUuV1pHEO1PN81pspK3YWzk04cfqkMeQxxLPboLwjc9UipGkkCWGLxBYFgH359k+y4oXjK8/ef552u0f2c/86fT273D4zF/2d+yd1vwofz8ddofnv3L+87gvX/592R8++NaYLeI0mO1yEZvMsurd1K271rHQGn/d7/f3l7yYfdpmq9PpjFeNp9zu7jfflNnAt2cC2C6OAGuD1FZ0FFhCZozvbRPKbbpQbTccrSOJz0I1z2uxkbZib+XQhB+rQx5DHks8uxTCpxhJClli+AKBZRFwfp79ZNmpRviSZez9zmv2YeFtti7e9Hxk/1a/wig/rnbsLdj7nLWs7AXgLGM3HY/Fz03/DdWk8ZJl23W2ZQ112xqzqdpdK1Fr/P6Y56/M6Cr7V7bG5Zu+s/e8mHf7IKIkVR7whmqBNG4vBSAYDhEQz6chXRwbIKANUltxwBkOgYA2AdsNR+tI4p2q5nktNtJW7K0cmvBjdchjyGOJZ5dC+BQjSSFLDF8gsCwCzs+zr/Zjv79Fk/yzzthnetlLtN+Xoktm77Z+F0Z58UVYn1n2zVrW7Otvlx3ycuVlJWuNSeMl/1tnz2xt/aoxuSOJWmOmx6YPf/mletX47z7b/v5e2bTrBxElqfKB1tg1a9hbEgHxfFpS7k5z1Qapreg0PDfG8Hs3NxyDWrHdcLSOJD5w1TyvxUbair2VQxPz3o1+mA3xdHoshfApRpKcQoAxEACBDgHn5xlrjZ8r+x9Zxt49/ZCtitaY9cfr4ou0isaZH+Xfp+2Gvaj8wVrjY6G/LRpltvJO1hrXGsz23em0Zm102xqTO5K41phNV18NVs7WnzXuoHAkElGSKtNojR0hhplFEhDPp0VCcJG0NkhtRRdRObaRcuyOUaRjzrZotI4kPmvVPK/FRhqKCfa5fkPWYNbjHNGEXzhuEiXEJLmxDCsgAAJ9As7Psz/2vunKzb/ileDivdFFa8y64nXG/hhT1Rp3R7+rbPf4kNVvdGat8SZnTSxbyV7XFb+hum5qNzmzvS0exXu361eNyR1JXGtcTbMFaI37+wAzIBA7AefXqtgT9hWfNkhtRV+RjrCbcuwj0k57qW3RaB1JPAnVPK/FRhqKGio9sxNP+A3Zr/WJ0cXhnhCTFEdkiAIE5kjA/Xl2l2XsC7Ny9veGS2Gf7YZbY9YH/xavE1efAS5bY/bea/aLvO1Aa8xsfzIn1+L7t+rWmNyRxLXGbPq5WFO1xo+sBffyILMkVY7wqrEX4DC6EALi+bSQtN2nqQ1SW9F9jKMtphz76ORTNWD7+h0VmySegWqe12IjDUUNlZ7ZiSf8huzX+sTo4nBPiEmKIzJEAQJzJOD+PGOfLs42xy37TPEhWz0cig8XD75qzD5+fHph37/VaY3ZyuyefdN1+aox++6soqctu9z69V4WNPt7x08vD+viqbT5hmpy10pca8zWZMdH9leeytk39s1fh+qbrd3WlYiSVHlAa+yWNKwti4B4Pi0re4fZaoO07VQcxDratXaSDoKNxcRoaLEkYhoHFZsk3oZqntdiIw1FDZWe2Ykn/Ibs1/rE6Ly4Nz5TCTFJXiKDURAAAUbAw3n2e8++KDo7fOd/J/ZzXbyEPPSG6qK1XbFGtdsa/+zYZ4nrN1QXnTF7K7bQGrOv0WKPffHh4aY1JnetxLfGV/a27eLV5nL2yj6pnLEvz3b+IKIkVU7QGjuHDYMLIiCeTwtK3W2qKYAcHeNoA8PMje9th825Oeo5ZzdB+rBCiZPE+1HN81pspKGoodIzO/HEZrOpd+wrE12PKpM+PfiI2tqmg1oabyFaQJKDOGACBEBASsDPefZzqb77+Xop/qrxrcdfrd3Vu9x8QZfZFr9gmtyR1DWaXy8SV5zG+AERJamyitZYoBvl7aUQI4bREBDPp2gCSy2QFECOjnG0geGqejY/7Fx1NMqgVMG6nKfESeLtq+Z5LTbSUNRQ6Zmd9cSygLjI1tgGLSBp1nsKyYHApARwnrnGT0RJqnygNRZYi4CEwxiCQJcAtkuXxgg5BZCjY/T8e7fR8Y2on3JplEEpo3V4gBIniTevmue12EhDUUNFNOt5N4ruAo8tgASO0KU7F9ka26AFJLlMCrZAAAS6BHCedWm4kIkoSZVdtMYCXxGQcBhDEOgSwHbp0hghpwAy9hijjC/KoEZsVO2llDhJ/GLVPK/FRhqKFn2uhtVeJOlMJJ6dYT1dZGtsgxaQlM4GQaQgkBoBnGeuK0ZESap8oDUWWIuAhMMYgkCXALZLl8YIOQWQsccYZXxRBjVio2ovpcRJ4her5nktNtJW7K0cmvBjdchjyGOJZ2cYvqG6tBDGNmgBSVLLmAQBEHBAAOeZA4icCSJKUqWA1pgD5esuRHCC4VwIiOfTXPIKnkcKIGOPMcr4ogzKZHsbvn7XmqbESWoPloJqntdiI23F3sqhCT9WhzyGPJZ4dobhG6pLC2FsgxaQJLWMSRAAAQcEcJ45gMiZIKIkVQpojTlQvu5CBCcYzoWAeD7NJa/geWiDtO1UHGQ0oWut6LUZallzpBQ7tJtp2lKldSTxzlTzvBYbaSv2Vg5N+LE65DHkscSzMwzfUF1aCOMzlZySJLWMSRAAAQcEcJ45gMiZIKIkVQpojTlQvu5CBCcYzoWAeD7NJa/geWiD1FYMnsLkDo3vbSePOIUAbDccrSOJz1c1z2uxkbZib+XQhB+rQx5DHks8O8PwJzn1KUaSQpYYvkBgWQRwnrmuNxElqfKB1lhgPclzjBADhskQEM+nZAKPLVBtkNqKsWWIeNIkYLvhaB1JPAHVPK/FRtqKvZVDE36sDnkMeSzx7FIIn2IkKWSJ4QsElkUA55nrehNRkiofaI1ds4a9JREQz6cl5e40V22Q2opOw3NjDL93c8MxqBXbDUfrSOIDV83zWmykrdhbOTQx793oh9kQT6fHUgifYiTJKQQYAwEQ6BDAedaB4UQkoiRVhtEaOwEMIwslIJ5PC8UwPm1tkNqK42NybiHl2J3DSMWgbdFoHUl8zqp5XouNNBSt+9zXTfmo12O08UiiV1j1hHU91SadH6FtSZJzJzAIAiBQE8B55norEFGSKh9ojV2zhr0lERDPpyXl7jRXbZDaik7Dc2Ms5djdEEjQim3RaB1JfPqqeV6LjTQUNVR6Zmc9ASDey0uISfLuFA5AYLEEcJ65Lj0RJanygdbYNWvYWxIB8XxaUu5Oc9UGqa3oNDw3xlKO3Q2BBK3Yvn5HxSaJT181z2uxkYaihkrP7KwnAMR7eQkxSd6dwgEILJYAzjPXpSeiJFU+0Bq7Zg17SyIgnk9Lyt1prtogbTsVB9GOdq2dpINgYzExGlosiZjGQcUmibehmue12EhDUUOlZ3bWEwBiWl7jM5UQk2TqFPogAAK6BHCe6ZLS1SOiJFVr0RrrMoQeCPQJiOdTXwMzWgRSADk6xtEGhlEa39sOm3Nz1HPOboL0YYUSJ4n3o5rntdhIQ1FDpWd21hOxAfF7crqwbkyMFpA06z2F5EBgUgI4z1zjJ6IkVT7QGgusXTzHCCYxnC8B8Xyab6aeM0sB5OgYRxsYLoJn88POVUejDEoVrMt5Spwk3r5qntdiIw1FDZWe2VlPxAbEbzwurBvboAUkzXpPITkQmJQAzjPX+IkoSZUPtMYCaxGQcBhDEOgSwHbp0hghpwBydIyef+82Or4R9VMujTIoZbQOD1DiJPHmVfO8FhtpKGqo9MzOesIKyOs/PSaXj49fPc1Wq4lH10W7UCa8fAizjfV6+u1dOM4NFSEINtiS3+8/bqEwoAUkCSoYggAIOCOgc54pzu5+DDfO7t4CXcMWF8fGl66LRl/6s3dxFLS4iyMRJanSR2sscBMBCYcxBIEuAWyXLo0RcgogY48xyviiDGrERtVeSomTxC9WzfNabKSh6Pm3Lr2Qop/QYNbP4f4pzx9vo9xn22323F8+NNPEU7jQeAwHcRSNNNZry/cPQy4UWQo28n/rLBv8VQEtIGnIL46BAAiMIaBzninObtHtzbNbXJBrGra5ODa+NC+Ojbr8Z+/iKKhxF0ciSlKlj9ZY4CYCEg5jCAJdAtguXRoj5BRAxh5jlPFFGdSIjaq9lBIniV+smue12EhbsbdyuRPWzO4eb0J7ZS+mvmfnm3pdBcN4htV7d3+COnf3142ilSVZCjby878ftMYtMAggMDkB8RRVBSQ5u0XVm2e3uKAcaxi2uThKfdlO9i6OgiHu4khESar00RoL3ERAwmEMQaBLANulS2OEnALI2GOMMr4ogzLZqMOv36ktUeIk8dqqeV6LjbQVeyuXO2HF7PU9f9tsTyf2bunPu/3pO89f/r0dDp/56/74JbDM3oUJ2fB8vz88le9K3hx39z9MhbmQPmp/hcP94Z2V/MKWPrBAXveHf9x7ANny41OplOeN/c3Lv/cDW8YehT5399dzp8hy088SrXEPHiZAYDICOhc1xdktuYYNn929JPUN57nhxfHd7OKYm10c2TVVeXEkoiRVmaM1FnaACEg4jCEIdAlgu3RpjJC1Qdp2KiNia5ZO6LoJYfCnNsNBK44Pxg7tZrq2VGkdSbwz1TyvxUbair2Vy52wYsZeFPne3318XPP31evX8+qSHzf3n0/Zw8Pn44r/3O1F61Xj19evz8OBVeFt8/p5t2YmFK+7NP6Yw9Pna/Zvk68fvz6ff/Ln9fvn3UZ4g3StxPrg2v6miPMlY+376+rt8yjq89tAkeWqn+XwzTMhJon3hBEIgIA7AjrnmeLsllzDhs/uXtT6hnPTi+PK7OKYm10cy4u44uJIREmqMkdrLOwAEZBwGEMQ6BLAdunSGCFrg9RWHBFMokuT70Kj5G674WgdSXyCqnlei420FXsrlzthxazoW4t/7N7rjf33cJ8f9+znpmhu1/znbvdHNqf1+MsubPWJ6W6eG/O9hY2//Lhlx552m5+MvWLMHqv3PL+uxda4UioV8sL+axnnkYVeGLquBP1KsflfP8vhm2dCTFLjAz9BAARcE9A5z1yd3b3Y9Q3nphfH4s7F4OKYm10cq4u4/OJIREmqMkdrLOwA3F4KQDAcIiCeT0O6ODZAQBuktuKAMxwCAW0CthuO1pHEO1XN81pspK3YW7ncCStm7d3fJXt8fn4+7vLihio/FN96teNuDU67Px22f8zGLvtk93KsPc4f7lStcesvPxZd7Ve2yXfbJ/Yi8CUr3oV9J7S6tdI1b+xXcT6emKNCvzzOfsof+lmiNZYTxCwITEFA56Lm6uzu5adv2PfF8eru4khESaoyR2vc2wGYAAFtAuL5pL0QijwBbZDairz9KEbczXUUESGImwRsNxytI4l3pprntdhIW7G3crkTVszau7/v7OmFPd7Yp3oZwsMz+49rjU/bXy20+7uvyyX7qDvcR/ZKc+Gi/2j9VT3umbXG1/fTavujaI0LI+fsL2/sV3E+3jFHRWAnoZXmHWpnmaM15slhBAJTEtC5qLk6u3t5ahv2fnH8c3dxJKIkVZmjNe7tAEyAgDYB8XzSXghFnoA2SG1F3n4Uo5RjjwLgFEHYFo3WkcTHr5rntdhIQxG/dRGoaTATVrBhe/f3x9rZ8iFvje83ep3xb/Ea7g+zdWWvHLMWm3WshYv+o/WXH4s3arNPHhc6193TtQxE/OxwrZS39tvWuHK01WuNW6/yLNm36fBvIhfiJsQkCSoYggAIOCOgc57pXsNund29oHUN+784lqG5uTgSUZKqzNEa93YAJkBAm4B4PmkvhCJPQBuktiJvP4pRyrFHAXCKIGyLRutI4uNXzfNabKShqKHSMzvrCSsgxd3f4+Hvmuf3W/YO6MuX/FXjh9Xn5XL5u83vmr3l12PR3d7vfvN/GfvKa3lr3PrLC+3f7VP+y95N/bd9zR+2599H8bPDjRLZL5tb9qpxftr/5W/ZzdZYI8sre7379TLwOwBCTNJtJtAAARCwI6Bznmlew26e3b0INQ2ndXEkoiRVmaM17u0ATICANgHxfNJeCEWegDZIbUXefhSjlGOPAuAUQdi+HkvFJomPXzXPa7GRhqKGSs/srCesgBR3fz+HFftg8PUhW6/W7/LWOCsfzxr83rLN6nXFWuO/A7NXbCVFa9z4Yx8T3q+z4zW/rLNNdrrm1/vV+ulUvK2782iUWBNc229b4999tj7efkO1RpZfZZYDTTYhJqkTJEQQAAGnBHTOM81r2M2zuxe4puG0Lo5ElKQqc7TGvR2ACRDQJiCeT9oLocgT0AZp26nw7qxGo11rJ2kVXpyLRkOLM63bUVGxSeJXqeZ5LTbSUNRQ6Zmd9cRoINehF0y10V0v7CXo8vHbSvLFtT/W4/4U36SV57/0uvS2+L5s/lErkf32cH2kHQ8KnSyNz1RCTNKgMxwEARAYQcD0POuc3SO8Spa6MUwXr8kujkSUpCpftMaSumMKBDQJiOeT5jKoiQRSADk6xtEGRGr82Pjell/uZ+Q5Zz9Bu7BKiZPE21XN81pspKGoodIzO+uJ2IDonpzly7+dyny/X77v101/3TnAibrWuUXCwJgYLSBJsIkhCICAMwJLP8/sLo5D+IkoSZU+WmOBm4vnGMEkhvMlIJ5P883Uc2YpgBwd42gDw0XwbH7YuepolEGpgnU5T4mTxNtXzfNabKShqKHSMzvrCQ9Afk/VY+Djt2qkuvGcXngbl+N2e6peRuYPcCNd69wiYVDb0M+SnJIk2MQQBEDAGYHx55n+2W0YtDfD3TjsLo5dC6JMREmqdNAaC6xEQMJhDEGgSwDbpUtjhJwCyNExev692+j4RtRPuTTKoJTROjxAiZPEm1fN81pspKGoodIzO+uJsUB+3ntfs3X9rB63XsIVuZaNbRnPzRa3WEpKJIkmO2ND652VglgT08+SEJMk2MQQBEDAGYHx55n+2W0YtDfDhnEYqhNRkioTaI0FlCIg4TCGINAlgO3SpTFCTgFk7DFGGV+UQY3YqNpLKXGS+MWqeV6LjTQUPf/WpRdS9BMazIZzOO9O78Maukffz0yziOesZbBUL+ppoK5vXRq0XXtdOK0eJDUz+AkCIOCaAM4zf0RFtmiNBdYiIOEwhiDQJYDt0qUxQk4BZOwxRhlflEGN2KjaSylxkvjFqnlei420FXsrlzsxntl5u9k+m75CLAP+t2O9MYvnvOu9EB1eXeYxN2zeaxuEmCSpeUyCAAg4IIDzzAFEzgQRJalSQGvMgcJdiIADw2EC4vk0rI2jSgIpgIw9xijjizIo5TaUHLB9PZYSJ4k3r5rntdhIW7G3crkTDpidt4fN5t7qk8U897vtmdXwvHnip1Wjk5l6Zf1L17rM6x/zWOyyf3rNe22CEJMks445EAABFwRwnrmg2LVBREmqjqM17nJisghIOIwhCHQJYLt0aYyQtUHadiojYmuWTui6CWHwpzbDQSuOD8YO7Wa6tlRpHUm8M9U8r8VG2oq9lcudcMHsvHvYbDbH4v3Qox6fm+15c95stD47nOcfZuql9S9t69JM7jbn/DV/NWuvCTFJUuuYBAEQcEAA55kDiJwJIkpSpYDWmAOFuxABB4bDBMTzaVgbR5UEtEFqKypdzfZA8l1olJWx3XC0jiQ+QdU8r8VGeoqvrI1jj3oXYOSAxGlbEN1+9ypiOLHd7U6b3b3uqu3eTN3MuiyKC+vGWWes27xXJmhbkiQzjjkQAAEXBHCeuaDYtUFESaqOozXucmIybi8FIBgOERDPpyFdHBsgoA1SW3HAGQ6BgDYB2w1H60jinarmeS020lbsrVzuhAtmxaeN97tXrU8ID5J+3Rw3m732q88vm5OJuqF1aaT7zfZxc9Ru3ksbhJgkqXFMggAIOCCA88wBRM4EESWpUkBrzIHCAASMCIjnk9FiKBMBbZDaimQ7Ggm/d4umFPqB2G44WkcS71U1z2uxkbZib+VyJxwwO7PG+PDPCUL22vPuqG/Jr7osjo/i5fGDdvNemiDEJMlsYw4EQMAFAZxnLih2bRBRkqrjaI27nCCDgBkB8XwyWw3tloA2SG3F1nQ8Qsqxx0MxcCS2RaN1JPGhq+Z5LTbSVuytXO7EeGbsw8H3Zr2imvYj6zsNmmz2EWcTdUPr0jDZW8dPBs17YYMQkyS1jUkQAAEHBHCeOYDImSCiJFUKaI05UBiAgBEB8XwyWgxlIqANUluRbEcjpRx7NBBDB2JbNFpHEh+7ap7XYiNtxd7K5U6MZnbePWl+bZYG5L/Ndqeh1qj8sReZG1njp6F1qUX2QeM7g+a9sEGISZLaxiQIgIADAjjPHEDkTBBRkioFtMYcKAxAwIiAeD4ZLYYyEdAGqa1ItqORUo49GoihA7F9FzwVmyQ+dtU8r8VG2oq9lcudGMvs5338R4w79O+aLwXrzA2IftWljjcHk268MEGISZKaxiQIgIADAjjPHEDkTBBRkioFtMYcKAxAwIiAeD4ZLYYyEdAGadupkCtrabRr7SStQ4xv4Who8aWkFxEVmyR+pWqe12IjbcXeyuVOOGF2PXcfVyualY1/28/S1E0blfq7mbq2dWkGlcvT5kkvwtYGISapPQgBBEDAMQGb86w6u5vr2M3rj37ELgwb2nCvTkRJqhCgNdbfCtAEAZGAeD6JxzHWJJACyNExjjYwDDPKLtRzzsNEpjxKiZPEx6Oa57XYSFuxt3K5E06YsY8bdx52Hzw2tOFXXbofDF22NggxSe1BCCAAAo4J2Jxntmf3zdBdGDa04V6diJJUZY7WWNgBUd5eCjFiGA0B8XyKJrDUAkkB5OgYRxsYrqpn88POVUejDEoVrMt5Spwk3r5qvtTqvqF3UJG3iVFNwAmz8+btq3m8bWxbYyMbhi4N1aXbo7ZRhmmSJSEmSeoAkyAAAg4I2JxnLq4Q0tBdGDa04V6diJJUZYvWWKi6CEg4jCEIdAlgu3RpjJBTADk6Rs+/dxsd34j6KZdGGZQyWocHKHGSePOq+UrrvDt91PrDirxRjCoCTpidN1/X5vFl3Rob2TB0aagu3R22NggxSVIHmAQBEHBAwOY8sz27b4brwrChDffqRJSkKnO0xsIOEAEJhzEEgS4BbJcujRFyCiBjjzHK+KIMasRG1V5KiZPEL1bN11rn7Wb7Uso3FHmrGLljZngrJkVvaMOvuosIWxu0LUlqD0IAARBwTMDmPDO8oOhH7MKwoQ336kSUpAoBWmNhK4iAhMMYgkCXALZLl8YIOQWQsccYZXxRBjVio2ovpcRJ4her5hut83a/2TywL0q+pdgswE8i4ISZ4a0Yee9Ihjb8qnfiItHQZbuQEJPUHoQAAiDgmIDNeWZ7dt8M3YVhQxvu1YkoSVXmaI2FHSACEg5jCAJdAtguXRoj5BRAxh5jlPFFGZTJRrV9FzwlThLvVzXfap13d+xboO4uNxXbFRAaAk6YGd6KNb65n4Y2/KpzkTUDQ5fNss5vbJzAbu1CAAEQkBGwOc9sz26Zf27OhWFDG+7ViShJVZZojblq4xf0Ag4MhwmI59OwNo4qCfRAvlZfDVs3JjQqJmhU2As2OlXRB/PXy/1GtpsYI6uSiDGyyavJ9rwGl81m2zs5qtDx/wABe2bfx863Unc/J9yZNhINbfhVl0YudXl4ufGXXggxSQMVwSEQAIFRBLTPM+fXMP3LhlRTPSm99PhV717YiChJVYnQGgtbVQQkHMYQBLoEsF26NEbI2iC1FUcEk+jSupVONPpYw7bdcLSOJD5H1Xyrxf5Wxe6we/27qdiugNAQsGd2/Gxs5IavUrTruoKhDb/q3cBaWeHy5/G+VZEKhJgkqSImQQAEHBDQPs8cX8OkoSsuG1Jd1aShDTfq3QsbESWpChatsVA03F4KQDAcIiCeT0O6ODZAQBuktuKAMxwCAW0CthuO1pHEO1XNN1rnzW5//MdGtxSbBfhJBOyZdVYa3oqR945kaMOveicuElUurx0SpE0SHSaJjkICARBwS0D7POsoqs7u0ZG5MGxow5F658JGoEiqyKA1Hr1DYGDBBMTzacEoxqWuDVJbcVw8Xlbj925esPo1arvhaB1JfKSq+VqLvWZ8X/0p3RuKvFWMSgL2zDorDW/FpOgNbfhVN4uwQ0K2kA6TJNPDHAiAgAsC2udZR9HwgqIfpgvDhjZcqRMemVQhQGusvxWgCQIiATqzxCMYGxHQBqmtaOQ+jHLKsYchFKEX26LROpL49FTzldZ59/RT6w8r8kYxqgjYM+usNLwVk7I3tOFX3SzCDgnZQjpMkkwPcyAAAi4IaJ9nHUXDC4p+mC4MG9pwpU54ZFKFAK2x/laAJgiIBOjMEo9gbERAG6S2opH7MMopxx6GUIRebItG60ji01PNl1o/7+yvNtWPQcVGCT85AvbMOivPm7ev5vG2qV7C57xoDAxt+FWXxsu7rL8Cp9DskJAtpMMkyfQwBwIg4IKA9nnWUeTPbrtrmDR2F4YNbYxSl17YCBRJVbZojaVVxyQIaBEQzyetRVDqE9AGqa3Y9zH5TMqxTw5vqgBs3wVPxSaJz0E1z2uxkbZib+VyJ+yZdVay97R3Hna3lYY2/KpL94PMZQmhQ0K2kA6TJNPDHAiAgAsC2udZR1F2druIhX1HYfeRysWxJEN4ZFJFB62xk10CIwslQGfWQgG4SlsbpG2n4iDQ0a61k3QQbCwmRkOLJRHTOKjYJPE2VPO8FhtpK/ZWLnfCnlln5fXcfdz4W0YK1oY2/KpLY2Quy5vcKtcqyxJCh4RsIR0mSaaHORAAARcEtM+zjqLhBUU/TBeGDW2Yq9+6sBEokioEaI31twI0QUAkIJ5P4nGMNQmkAHJ0jKMNDMOMsgv1nPMwkSmPUuIk8fGo5nktNtJW7K1c7oQ9M/uV6dLesD3G5V0OuJl+cnSYpL4WZkAABNwQ0D7PtBXdxBWvlVsXNgJFUpUNWmOhqlHeXgoxYhgNAfF8iiaw1AJJAeToGEcbGK6qZ/PDzlVHowxKFazLeUqcJN6+ap7XYiNtxd7K5U7YM7NfmS7t8sWVbvglhBsk6DBJXRuQQQAEXBLQPs+0FV1GF6OtWxc2AkVSlQdaY6GeIiDhMIYg0CWA7dKlMUJOAeToGD3/3m10fCPqp1waZVDKaB0eoMRJ4s2r5nktNtJW7K1c7oQ9M/uVKdMWsi6HwpyYHh0mSdTBGARAwBUB7fNMW9FVZPHaEVCUQ5qTSVUuaI2FmhIq4QCGINAngO3SZ2I1kwLI2GOMMr4og7LaooaLKHGSeBOqeV6LjbQVeyuXO2HPzH5lurRvvbgizYxAkSRVxCQIgIADAtrnmbaig6CiNnHrwkagSKoSQmssFFYEJBzGEAS6BLBdujRGyCmAjD3GKOOLMqgRG1V7KSVOEr9YNc9rsZG2Ym/lcifsmdmvTJf2rY/kSTMjUCRJFTEJAiDggID2eaat6CCoqE3curARKJKqhNAaC4UVAQmHMQSBLgFsly6NEXIKIGOPMcr4ogzKZKPavgueEieJ96ua57XYSFuxt3K5E/bM7FemS/vWiyvSzAgUSVJFTIIACDggoH2eaSs6CCpqE7cubASKpCohtMZCYUVAwmEMQaBLANulS2OErA3StlMZEVuzdELXTQiDP7UZDlpxfDB2aDfTtaVK60jinanmeS020lbsrVzuhD0z+5Up0xayLofCnJgeHSZJ1MEYBEDAFQHt80xb0VVk8doRUJRDmpNJVS5ojYWaEirhAIYg0CeA7dJnYjWjDVJb0SqMpBcl34VGSd92w9E6kvgEVfO8FhtpK/ZWLnfCnpn9ypRply+vdP4rcrlBgg6TlDICxA4CcRPQPs+0FcPk+3z/HsaRxEvnmta+hEx4ZFJlBK2xABO3lwIQDIcI0Jk1pIVjNwlog9RWvOkSCiCgQcB2w9E6knh3qnlei420FXsrlzthz8x+pQPaL7s7B1YcmbhBgg6T5MgzzIAACPQIaJ9n2oo9F14mdtl9nkd0aSM8MqlCgNbYy1aA0YUQoDNrIQn7SlMbpLair0hH2MXv3UbAm2qp7YajdSTxOajmeS020lbsrVzuhD0z+5UOaD9kWwdWHJm4QYIOk+TIM8yAAAj0CGifZ9qKPRdeJsrWOKJLG+GRSRUCtMZetgKMLoQAnVkLSdhXmtogtRV9RTrCbsqxj0g77aW2RaN1JPEkVPO8FhtpK/ZWLnfCnpn9yhG0Lw/7/fHp72mbrU6nc55/nnaH5788fzq9fRz2LyMsj1h6gwQdJmmENywFARAYJKB9nmkrDrobf/Drfr+/v+RFa9xe2sZbHW2B8Mikyjxa49GYYWDBBOjMWjAEF6lrg9RWdBGVYxspx+4YRTrmbItG60jis1bN81pspK3YW7ncCXtm9ivtaf+ts81ulV12WfF4z1+ybLvOtn/spnJTzDzamx6x8gYJOkzSCG9YCgIgMEhA+zzTVhx0N/rgK7t0rbJ/ZWvcXNpGG3VggPDIpMoBWmMHoGFisQTozFosAjeJa4PUVnQTl1MrKcfuFERKxmzfBU/FJonPWzXPa7GRtmJv5XIn7JnZr7Snfc5W1zw///3dZ9vf3+tvlr3krF1+ZjeVq+/8Pst+7W3br7xBgg6TZO8MK0EABIYJaJ9n2orD/kYeZZexw19+qV41ri9tI026WU54ZFLlA62xG9awskwCdGYtM39nWWuDtO1UHEQ62rV2kg6CjcXEaGixJGIaBxWbJN6Gap7XYiNtxd7K5U7YM7NfaU+b3USuD49feV59IO8jy+5Op3V2YK0x+1quc5Z92tu2X3mDBB0myd4ZVoIACAwT0D7PtBWH/Y08yi5j7JLGHvis8UiSWA4CiRGI4xKUGDRZuCmAHB3jaAMycjQXZRfqOWfKPjaJEieJj1E1z2uxkbZib+VyJ+yZ2a8cQfvruGJvPvyoW+N/7P3UxePEbipPeX4pjkzwuEGCDpM0QZRwCQILIaB9nmkregXHLmPfpQO0xl45hzEe5e1lmNThxZxAHJcg87ijW5ECyNExjjYwXDbP5oedq45GGZQqWJfzlDhJvH3VPK/FRtqKvZXLnbBnZr9yHO3fXfaQP2aF++/qZeLrL2uN2fitucUc58B49Q0SdJgkYx9YAAIgoElA+zzTVtR0bKfGLmPPbOW1etW4urTZWXK8ivDIpMoZ3lAtQCdUwgEMQaBPANulz8RqJgWQo2P0/Hu30fFZVe7GoiiDuhGzk8OUOEm8YdU8r8VG2oq9lcudsGdmv9Ke9mXz+PpSfLaYdcH7w29+zNZPLw/rV3ZTme3ZR4339qZHrLxBgg6TNMIbloIACAwS0D7PtBUH3Y0+eMyy4+O++hqu5tI22qgDA4RHJlUO0BoLoAmVcABDEOgTwHbpM7GaSQFk7DFGGV+UQVltUcNFlDhJvAnVPK/FRtqKvZXLnbBnZr/Snvbvtvge6tM1v7JPGGeXnH1nDXvsv4o3VN+xd1df7E2PWHmDBB0maYQ3LAUBEBgkoH2eaSsOuht98PpQXMY+q1eN60vbaKMODBAemVQ5QGssgCZUwgEMQaBPANulz8RqJgWQsccYZXxRBmW1RQ0XUeIk8SZU87wWG2kr9lYud8Kemf3KMbT/Lhf2HdX0uF5+/rd3Lupto0AYdeLcmt6bbZqmSfz+b7lIsvQbJAzCEsbS8fftZoAZmDkMyJM4adWufkvv7TyFcTDvBEqSAkCCAASmJRB9zqIVp/WvP9uHc631Nc7RIzxDUuMRpbGzM0LlDNCEQJ8A6dJnktRzCSBL97FI/4p0akyKpn4KXoFLstf19dtaphWt2LNcb0c6s3TLGWjXf8BmhnmjpgyQ0LCkqHlRggAEEghEn7NoxQQnFmAiPENSEyClsbPRQuUM0IRAnwDp0meS1BMNMrVSSfLKNjrj0rYjnlY0Q4/9LN2lQwsGnUpVdpLsxXz9tpZpRSv2LNfbkc4s3XIG2vfXX2eYNXLKAAkNS4qcGTUIQGA0gehzFq042oVFGAjPkNSESGnsbLVQOQM0IdAnQLr0mST1RIOMVkxy46KNLr4KLZJ+asLJTpIdoK/f1jKtaMWe5Xo70pmlWy6NdoCEhiUtDQHxQKAcAtHnLFqxnNhyeiI8Q1LjCaWxsyO8vXSA0DxGQCfrmBZjQQLRIKMVg0uiAIEIAqkJJztJ9nK+flvLtKIVe5br7Uhnlm65NNoBEhqWtDQExAOBcghEn7NoxXJiy+mJ8AxJjSeUxjl3hLWWRkAna2mRZY4nGmS0YuYAYpbj+24xlArTSU042UmyQ/P121qmFa3Ys1xvRzqzdMul0Q6Q0LCkpSEgHgiUQyD6nEUrlhNbTk+EZ0hqPKE0zrkjrLU0AjpZS4ssczzRIKMVMwcQs9wl+x4T3yJ1UjdNdpJsQL5+W8u0ohV7luvtSGeWbrk02gESGpa0NATEA4FyCESfs2jFcmLL6YnwDEmNJ5TGOXeEtZZGQCdraZFljicaZLRi5gBilrtk32PiW6RO6qbJTpINyNdva5lWtGLPcr0d6czSLZdGO0BCw5KWhoB4IFAOgehzFq1YTmw5PRGeIanxhNI4546w1tII6GQtLbLM8USDjFbMHEDMcpfse0x8i9RJ/RS8NluSDcjXb2uZVrRiz3K9HenM0i2XRjtAQsOSloaAeCBQDoHocxatWE5sOT0RniGp8YTSOOeOsNbSCOhkLS2yzPFEg0ytVCaI5+Slo4OcwNlSpjgZWimBjPVDmy3JnsPXb2uZVrRiz3K9HenM0i2XRjtAQsOSloaAeCBQDoHocxatWE5sOT0RniGp8YTSOOeOsNbSCOhkLS2yzPFcAsiTfTx5guObUmQVOnPMx4mcc1SBS7L98fXbWqYVrdizXG9HOrN0y6XRDpDQsKSlISAeCJRDIPqcRSuWE1tOT4RnSGo8oTR2dqTIt5eOjzSLIaCTVYxLl+nIJYA82ceTJzi+tzNPf3xx32iRTvmcnbJfgUuy5/f121qmFa3Ys1xvRzqzdMul0Q6Q0LCkpSEgHgiUQyD6nEUrlhNbTk+EZ0hqPKE0dnZEqJwBmhDoEyBd+kySei4B5Mk+zvx9t5P9S9q5gFGRTgV8nmRYgUuyJ/b121qmFa3Ys1xvRzqzdMul0Q6Q0LCkpSEgHgiUQyD6nEUrlhNbTk+EZ0hqPKE0dnZEqJwBmhDoEyBd+kySei4BZOk+FulfkU4lpehIIwUuyZ7C129rmVa0Ys9yvR3pzNItl0Y7QELDkpaGgHggUA6B6HMWrVhObDk9EZ4hqfGE0tjZEaFyBmhCoE+AdOkzSeq5BJCl+1ikf0U6lZSiI40UuCR7Cl+/rWVa0Yo9y/V2pDNLt1wa7QAJDUtaGgLigUA5BKLPWbRiObHl9ER4hqTGE0pjZ0eEyhmgCYE+AdKlzySp5xJAlu5jkf4V6dSYFE39FLwCl2Sv6+u3tUwrWrFnud6OdGbplkujHSChYUlLQ0A8ECiHQPQ5i1YsJ7acngjPkNR4Qmns7IhQOQM0IdAnQLr0mST1RINMrVSSvLKNzri07YinFc3QYz9Ld+nQgkGnUpWdJHsxX7+tZVrRij3L9XakM0u3XBrtAAkNS1oaAuKBQDkEos9ZtGI5seX0RHiGpMYTSmNnR4TKGaAJgT4B0qXPJKknGmS0YpIbF2108VVokfRTE052kuwAff22lmlFK/Ys19uRzizdcmm0AyQ0LGlpCIgHAuUQiD5n0YrlxJbTE+EZkhpPKI2dHeHtpQOE5jECOlnHtBgLEogGGa0YXBIFCEQQSE042Umyl/P121qmFa3Ys1xvRzqzdMul0Q6Q0LCkpSEgHgiUQyD6nEUrlhNbTk+EZ0hqPKE0zrkjrLU0AjpZS4ssczzRIKMVMwcQsxzfd4uhVJhOasLJTpIdmq/f1jKtaMWe5Xo70pmlWy6NdoCEhiUtDQHxQKAcAtHnLFqxnNhyeiI8Q1LjCaVxzh1hraUR0MlaWmSZ44kGGa2YOYCY5S7Z95j4FqmTummyk2QD8vXbWqYVrdizXG9HOrN0y6XRDpDQsKSlISAeCJRDIPqcRSuWE1tOT4RnSGo8oTTOuSOstTQCOllLiyxzPNEgoxUzBxCz3CX7HhPfInVSN012kmxAvn5by7SiFXuW6+1IZ5ZuuTTaARIalrQ0BMQDgXIIRJ+zaMVyYsvpifAMSY0nlMY5d4S1lkZAJ2tpkWWOJxpktGLmAGKWu2TfY+JbpE7qp+C12ZJsQL5+W8u0ohV7luvtSGeWbrk02gESGpa0NATEA4FyCESfs2jFcmLL6YnwDEmNJ5TGOXeEtZZGQCdraZFljicaZGqlMkE8Jy8dHeQEzpYyxcnQSglkrB/abEn2HL5+W8u0ohV7luvtSGeWbrk02gESGpa0NATEA4FyCESfs2jFcmLL6YnwDEmNJ5TGOXeEtZZGQCdraZFljucSQJ7s48kTHN+UIqvQmWM+TuScowpcku2Pr9/WMq1oxZ7lejvSmaVbLo12gISGJS0NAfFAoBwC0ecsWrGc2HJ6IjxDUuMJpbGzI0W+vXR8pFkMAZ2sYly6TEcuAeTJPp48wfG9nXn644v7Rot0yufslP0KXJI9v6/f1jKtaMWe5Xo70pmlWy6NdoCEhiUtDQHxQKAcAtHnLFqxnNhyeiI8Q1LjCaWxsyNC5QzQhECfAOnSZ5LUcwkgT/Zx5u+7nexf0s4FjIp0KuDzJMMKXJI9sa/f1jKtaMWe5Xo70pmlWy6NdoCEhiUtDQHxQKAcAtHnLFqxnNhyeiI8Q1LjCaWxsyNC5QzQhECfAOnSZ5LUcwkgS/exSP+KdCopRUcaKXBJ9hS+flvLtKIVe5br7Uhnlm65NNoBEhqWtDQExAOBcghEn7NoxXJiy+mJ8AxJjSeUxs6OCJUzQBMCfQKkS59JUs8lgCzdxyL9K9KppBQdaaTAJdlT+PptLdOKVuxZrrcjnVm65dJoB0hoWNLSEBAPBMohEH3OohXLiS2nJ8IzJDWeUBo7OyJUzgBNCPQJkC59Jkk9lwCydB+L9K9Ip8akaOqn4BW4JHtdX7+tZVrRij3L9XakM0u3XBrtAAkNS1oaAuKBQDkEos9ZtGI5seX0RHiGpMYTSmNnR4TKGaAJgT4B0qXPJKknGmRqpZLklW10xqVtRzytaIYe+1m6S4cWDDqVquwk2Yv5+m0t04pW7FmutyOdWbrl0mgHSGhY0tIQEA8EyiEQfc6iFcuJLacnwjMkNZ5QGjs7IlTOAE0I9AmQLn0mST3RIKMVk9y4aKOLr0KLpJ+acLKTZAfo67e1TCtasWe53o50ZumWS6MdIKFhSUtDQDwQKIdA9DmLViwntpyeCM+Q1HhCaezsCG8vHSA0jxHQyTqmxViQQDTIaMXgkihAIIJAasLJTpK9nK/f1jKtaMWe5Xo70pmlWy6NdoCEhiUtDQHxQKAcAtHnLFqxnNhyeiI8Q1LjCaVxzh1hraUR0MlaWmSZ44kGGa2YOYCY5fi+WwylwnRSE052kuzQfP22lmlFK/Ys19uRzizdcmm0AyQ0LGlpCIgHAuUQiD5n0YrlxJbTE+EZkhpPKI1z7ghrLY2ATtbSIsscTzTIaMXMAcQsd8m+x8S3SJ3UTZOdJBuQr9/WMq1oxZ7lejvSmaVbLo12gISGJS0NAfFAoBwC0ecsWrGc2HJ6IjxDUuMJpXHOHWGtpRHQyVpaZJnjiQYZrZg5gJjlLtn3mPgWqZO6abKTZAPy9dtaphWt2LNcb0c6s3TLpdEOkNCwpKUhIB4IlEMg+pxFK5YTW05PhGdIajyhNM65I6y1NAI6WUuLLHM80SCjFTMHELPcJfseE98idVI/Ba/NlmQD8vXbWqYVrdizXG9HOrN0y6XRDpDQsKSlISAeCJRDIPqcRSuWE1tOT4RnSGo8oTTOuSOstTQCOllLiyxzPNEgUyuVCeI5eenoICdwtpQpToZWSiBj/dBmS7Ln8PXbWqYVrdizXG9HOrN0y6XRDpDQsKSlISAeCJRDIPqcRSuWE1tOT4RnSGo8oTTOuSOstTQCOllLiyxzPJcA8mQfT57g+KYUWYXOHPNxIuccVeCSbH98/baWaUUr9izX25HOLN1yabQDJDQsaWkIiAcC5RCIPmfRiuXEltMT4RmSGk8ojZ0dKfLtpeMjzWII6GQV49JlOnIJIE/28eQJju/tzNMfX9w3WqRTPmen7Ffgkuz5ff22lmlFK/Ys19uRzizdcmm0AyQ0LGlpCIgHAuUQiD5n0YrlxJbTE+EZkhpPKI2dHREqZ4AmBPoESJc+k6SeSwB5so8zf9/tZP+Sdi5gVKRTAZ8nGVbgkuyJff22lmlFK/Ys19uRzizdcmm0AyQ0LGlpCIgHAuUQiD5n0YrlxJbTE+EZkhpPKI2dHREqZ4AmBPoESJc+k6SeSwBZuo9F+lekU0kpOtJIgUuyp/D121qmFa3Ys1xvRzqzdMul0Q6Q0LCkpSEgHgiUQyD6nEUrlhNbTk+EZ0hqPKE0dnZEqJwBmhDoEyBd+kySei4BZOk+FulfkU4lpehIIwUuyZ7C129rmVa0Ys9yvR3pzNItl0Y7QELDkpaGgHggUA6B6HMWrVhObDk9EZ4hqfGE0tjZEaFyBmhCoE+AdOkzSeq5BJCl+1ikf0U6NSZFUz8Fr8Al2ev6+m0t04pW7FmutyOdWbrl0mgHSGhY0tIQEA8EyiEQfc6iFcuJLacnwjMkNZ5QGjs7IlTOAE0I9AmQLn0mST3RIFMrlSSvbKMzLm074mlFM/TYz9JdOrRg0KlUZSfJXszXb2uZVrRiz3K9HenM0i2XRjtAQsOSloaAeCBQDoHocxatWE5sOT0RniGp8YTS2NkRoXIGaEKgT4B06TNJ6okGGa2Y5MZFG118FVok/dSEk50kO0Bfv61lWtGKPcv1dqQzS7dcGu0ACQ1LWhoC4oFAOQSiz1m0Yjmx5fREeIakxhNKY2dHeHvpAKF5jIBO1jEtxoIEokFGKwaXRAECEQRSE052kuzlfP22lmlFK/Ys19uRzizdcmm0AyQ0LGlpCIgHAuUQiD5n0YrlxJbTE+EZkhpPKI1z7ghrLY2ATtbSIsscTzTIaMXMAcQsx/fdYigVppOacLKTZIfm67e1TCtasWe52brMKQAAiKtJREFU3o50ZumWS6MdIKFhSUtDQDwQKIdA9DmLViwntpyeCM+Q1HhCaZxzR1hraQR0spYWWeZ4okFGK2YOIGa5S/Y9Jr5F6qRumuwk2YB8/baWaUUr9izX25HOLN1yabQDJDQsaWkIiAcC5RCIPmfRiuXEltMT4RmSGk8ojXPuCGstjYBO1tIiyxxPNMhoxcwBxCx3yb7HxLdIndRNk50kG5Cv39YyrWjFnuV6O9KZpVsujXaAhIYlLQ0B8UCgHALR5yxasZzYcnoiPENS4wmlcc4dYa2lEdDJWlpkmeOJBhmtmDmAmOUu2feY+Bapk/opeG22JBuQr9/WMq1oxZ7lejvSmaVbLo12gISGJS0NAfFAoBwC0ecsWrGc2HJ6IjxDUuMJpXHOHWGtpRHQyVpaZJnjiQaZWqlMEM/JS0cHOYGzpUxxMrRSAhnrhzZbkj2Hr9/WMq1oxZ7lejvSmaVbLo12gISGJS0NAfFAoBwC0ecsWrGc2HJ6IjxDUuMJpXHOHWGtpRHQyVpaZJnjuQSQJ/t48gTHN6XIKnTmmI8TOeeoApdk++Prt7VMK1qxZ7nejnRm6ZZLox0goWFJS0NAPBAoh0D0OYtWLCe2nJ4Iz5DUeEJp7OxIkW8vHR9pFkNAJ6sYly7TkUsAebKPJ09wfG9nnv744r7RIp3yOTtlvwKXZM/v67e1TCtasWe53o50ZumWS6MdIKFhSUtDQDwQKIdA9DmLViwntpyeCM+Q1HhCaezsiFA5AzQh0CdAuvSZJPVcAsiTfZz5+24n+5e0cwGjIp0K+DzJsAKXZE/s67e1TCtasWe53o50ZumWS6MdIKFhSUtDQDwQKIdA9DmLViwntpyeCM+Q1HhCaezsiFA5AzQh0CdAuvSZJPVcAsjSfSzSvyKdSkrRkUYKXJI9ha/f1jKtaMWe5Xo70pmlWy6NdoCEhiUtDQHxQKAcAtHnLFqxnNhyeiI8Q1LjCaWxsyNC5QzQhECfAOnSZ5LUcwkgS/exSP+KdCopRUcaKXBJ9hS+flvLtKIVe5br7Uhnlm65NNoBEhqWtDQExAOBcghEn7NoxXJiy+mJ8AxJjSeUxs6OCJUzQBMCfQKkS59JUs8lgCzdxyL9K9KpMSma+il4BS7JXtfXb2uZVrRiz3K9HenM0i2XRjtAQsOSloaAeCBQDoHocxatWE5sOT0RniGp8YTS2NkRoXIGaEKgT4B06TNJ6okGmVqpJHllG51xadsRTyuaocd+lu7SoQWDTqUqO0n2Yr5+W8u0ohV7luvtSGeWbrk02gESGpa0NATEA4FyCESfs2jFcmLL6YnwDEmNJ5TGzo4IlTNAEwJ9AqRLn0lSTzTIaMUkNy7a6OKr0CLppyac7CTZAfr6bS3TilbsWa63I51ZuuXSaAdIaFjS0hAQDwTKIRB9zqIVy4ktpyfCMyQ1nlAaOzvC20sHCM1jBHSyjmkxFiQQDTJaMbgkChCIIJCacLKTZC/n67e1TCtasWe53o50ZumWS6MdIKFhSUtDQDwQKIdA9DmLViwntpyeCM+Q1HhCaZxzR1hraQR0spYWWeZ4okFGK2YOIGY5vu8WQ6kwndSEk50kOzRfv61lWtGKPcv1dqQzS7dcGu0ACQ1LWhoC4oFAOQSiz1m0Yjmx5fREeIakxhNK45w7wlpLI6CTtbTIMscTDTJaMXMAMctdsu8x8S1SJ3XTZCfJBuTrt7VMK1qxZ7nejnRm6ZZLox0goWFJS0NAPBAoh0D0OYtWLCe2nJ4Iz5DUeEJpnHNHWGtpBHSylhbZtPF8vBy+PvqTR4OMVuyvcfaeS/b97PDO5UDqpslOkh2Dr9/WMq1oxZ5lvo7gCc/nSr1SOrN0y8whzr5cgISGJc3uEwtAYLUEos9ZtOI6UQrPkNQwoTReZ24Q9TQEdLKmmW+ps7xsD18v/TCjQUYr9tc4e88l+352eOdyIPVT8NpsSXYMvn5by7SiFXuW+TqCJzyfK/VK6czSLTOHOPtyARIaljS7TywAgdUSiD5n0YrrRCk8Q1LDhNJ4nblB1NMQ0MmaZr6lzvKy/fWnff3anlIap1YqE5A9eek1ZsvJ0CbYuLNMoc2WZDvi67e1TCtasWeZryN4wvO5Uq+UzizdMnOIsy8XIKFhSbP7xAIQWC2BY+fs39O7uBxTlNZqJeEZkhoslMarTQ8Cn4CATtYEky14ipftn4/29eek0viMkE7e7JMnOB58kVXozDEfJ3LOUQUuyfbH129rmVa0Ys8yX0fwhOdzpV4pnVm6ZeYQZ18uQELDkmb3iQUgsFoCR8/Zy82nvy2Zo4qt0nq/Cs+Q1HChNHbyo8i3l46PNIshoJNVjEtFOhJ843wJIE/28eQJju/tzNMfX9w3WqRTPmen7Ffgkuz5ff22lmlFK/Ys83UET3g+V+qV0pmlW2YOcfblAiQ0LGl2n1gAAqslcPycvdxs7/5r2BxXXC2/NnDhGZIaLUrjltb+q1A5AzQh0Cdw96/fR0+fQOiN8+/Hvk1xPSffDTN/3+1k/+YgXqRTcwTqzqnAJdk6vn5by7Qu4ZYJnfBeUPN2nHChRG/LvBEUMHuAhIYlFeA1LkBgoQQC58zUxtub71XsAcWF4okOS3iGpGYaSmMHp1A5AzQh0Cfw4+vAX1vuq62+J/DG+fft6wUgKv1uKNK/Ip3KkWwKXJK9rq/f1jKtS7hlAie8F9O8HadcKNHbMm8IBcweIKFhSQV4jQsQWCiB0Dl7uTXF8fbzG6Xx8QQQxyGpsaU0dhgKlTNAEwIDBL5WdxGvMIHD3zXuaT9eQmVc/POmyLurSKcGDvLkXQpckr2Ir9/WqloXccscPeG9Iz9vxykXSvy29DdqWT0DJH42+1Z//mW7a1uNYttqINDa7j8lBAlI7Lqzcsrp0Ik7Msvd9ubvwMld1tV0WjTCMyQ1c1MaO4yFyhmgCQEIpBIo62dKiVGUfjcU6V+RTo1JgNRPwStwSfa6vn5b60JaizjhNetFbctJ2RMgoWFJJ62HMQQgcIRA6Jz9t90+fLr9+V78d/GPxJhjSByHpMYDSmNnJ4TKGaAJAQikEpjujXNqpZLq+YHdGZc+8MIvFnl3lQ7Nj3M/kkpVdpLsxXz9ttaFtKY74ecOeFHbchLMAAkNSzppPYwhAIEjBALn7L/t/f1D/Ye4AopHlljFkPAMSQ0CSmMnFYTKGaAJAQikEpjujTMH1LsHF1+FeiM750BqwslOkh2Hr9/WupDWdCf83AEvaltOghkgoWFJJ62HMQQgcITA8XP2bH7N+KWxPq54ZIV1DAnPkNQwoDR2coG3lw4QmhA4ncB0b5x1l53uFTNAIEggNeFkJ8lezNdva11Ia7oTfu6AF7UtJ8EMkNCwpJPWwxgCEDhC4Og5e7n91v17KUcVjyywkiHhGZIaCJTGK0kGwoTAGQm8bH/9+fqnef3a7r+1meSP7rIk87Ma8X23s+JPWzw14WQnyfbA129rXUirOuHt67QTfu6AF7UtJ8EMkNCwpJPWwxgCEDhC4Ng5+/f0LstjitJarSQ8Q1KDhdJ4telB4BDIRuDF+oO0ay2NdQ9nA89CpxJI3TTZSbJ98fXbWhfSmu6EnzvgRW3LSTADJDQs6aT1MIYABI4QiD5n0YpHFlvwkPAMSU3glMYLTgBCg0AhBD5eXl625r/mdcq/Ba27rJDQRrhxyb6PCHNZqqmbJjtJNhlfv611Ia3qhOt1ygk/d8CL2paTYAZIaFjSSethDAEIHCEQfc6iFY8stuAh4RmSmsApjRecAIQGgYII1LfQj99DHv16Mv/uX/2nFYdGrT7dZVb3RTQu2feLADyHk6mfgtdmS7L98/XbWpfWOvmEnzvgZW5LCtUACQ1LSlkGGwhAIIZA9DmLVoxZdXk6wjMkNfFSGi9v34kIAucl8HWwnKhvoYdvQ659/rLbfR4c6WkPTt3TmqXj5KV1D8/iX5GTngytyKginNJmS7LNfP22VpGt4RNeu9qe8Pen7o/CmP4RJ/zcAV/wtkyMLkBCw5Im9oDpIACBjkD0OYtW7KZelSA8Q1KDgtJ4VSlBsBDIQODT16FF6luofeNsK1RvnMt/6RpN9PXkCY6vW2QVOnPMx4mcc1SBS7L98fXbWkW2hk947Wpzwp8+31p/UeAyTngdwAVvy8S5EiChYUkTe8B0EIBARyD6nEUrdlOvShCeIalBQWnspESRby8dH2lCoBQCf01R+/5oPgv9+/vu5fPd/TfzZxJ/bW8eH992u+dPd49/d7sf//26r0rf+hZ6+Pbr7v6p8v7p4fZz9XOln3f3/1VvnH9WvXuT3auZ6ouZoqiXrtFEt06e4Pi6M09/fHHfaJFO+Zydsl+BS7Ln9/XbWudujTjhtavVCb/Zbm9eLvCE1wFcxrbkSIsACQ1LyuEWa0BgnQSiz1m04to5CpSkhgmlsZMbLiBnmCYEIHBA4G3zb/d7c7/bffq2+/nzz/O9Ef/effr9+2P3dPXzz/er193D9tPvZ2NSf9fpYfv4/HNjSulfVz+fP12/735e/Xp+2JrSuPpBVGuyu/765/n74QcyD5Y8m3jy3TDz991O9m8OskU6NUeg7pwKXJKt4+u3tc7dGnHCa1cftrfb7bWpjC/whNcBXMa25EiLAAkNS8rhFmtAYJ0Eos9ZtOLaOQqUpIYJpbGTGy4gZ5gmBCBwSODm1+7rl83H7qqqfs1PkDevTZW7213/Mu0vn3cPt/VI87+HG/P1m+m5rurE7fda6+NqXxq3Jv82pf3EuPK+9LuhSP+KdKrazblfClySvaav39Y6e2vcCX8xPzHefrkxx/wCT3jN+kK2JUNeBEhoWFIGr1gCAislEH3OohXXCVJ4hqSGCaWxkxtC5QzQhAAE+gS+Pu5u/tw9v5jq+P37w+3txpTI9W8ivm6+fv9uenYPh795/GCK4N2fzce/qoTeffn0z/zUebereo1RZ7K7vfn2p7/WmXtKvxuK9K9Ip3IkkgKXZK/r67e1zt4adcL/VpXx9uah+XfMfzYn/GfTumtO+KemtW1O+H5s/4GK5bXOvn0nOBBIUA1LOmE1TCEAgaMEos9ZtOLR5RY7KDxDUhM2pbGz/ULlDNCEAAT6BH5fv119fPv6w3yQ+u7Tn9fXjfnXmerS+O/m2w/z+rWz/vJWXSe/bN5f65L468Nr/fPhx6Y07kx2H0+PVzeL+0B1n96kPUXeXUU6NQZ76qfgFbgke11fv6119ta4E/5+e1P9qvFlnvCa9YVsS4a8CJDQsKQMXrEEBFZKIPqcRSuuE6TwDEkNE0pjJzeEyhmgCQEI9Am8b74+7P7cPnzfVb+UuPvXlcbvlVS97NL4wfQ8Xe0+qp8u7+6/NF9vmtK4M6nMPm4H/zWn1EqlmvLE1xmXjvK8yLurdGhBsqlUZSfJXszXb2udvTX6hP93f7fdviSf8HMHfCHbkgFTgISGJWXwiiUgsFIC0ecsWnGdIIVnSGqYUBo7uSFUzgBNCEBggMDd5ocpdDcv5n+/dh8PVUH89f79w/xTpjfmM9Ovf5zS2Iy/3Zii9/Pt2+6/zd/d49377temKY07kzfzaer3m8GqigM6sAdN1yAvrzYDcQRSE052kuwVff221vlb40/4b/OZ6ZfUE37ugCfclgs/kQESGpZ07s1jfQgsl0D0OYtWXC6rY5EJz5DUWFIaOwQv/GHmREMTAnMT+Gbq2939lVnm12Z79fPKlMb/7q/MrxJ/fNlcX10/OaXxl7vrzYMpnN/vzag5bW93m+uH/QeqO5PX681282i0+i/dZf0xeiAwOYHUhJOdJNs5X7+tdf5Wygn/++32OfGEnzvgCbdlwqnOQSXgvoYlncNN1oTAOghEn7NoxXVwc6MUniGp0aY0dqnRhgAE0gh8vNrV7Mfr28FE7Xed/u1/h/htr922a9XW5O3V/APJQy/dZUOjZfe1BMr2Eu8sAqkJJztJ1sTF/8Vz29u6dfyEtwb1iX5/+pd2wttZzvXVt10J/kw4VcLqJ5sE3NewpJPXZAIIQMBDIPqcRSt6Flp4t/AMSU3wlMYLTwLCg0AhBHQLneLQNLOc4kG67SX7nh71hVumbprsJNkofP22Fq3MBCbclgmnygyhXi7gvoYlncNN1oTAOghEn7NoxXVwc6MUniGp0aY0dqnRhgAEpibw9vj4uDX/Hf4UOW0N3WVp9ue0umTfz8ntrGunbprsJNmB+PptrQtpVSe8ep1+ws8d8ITbMuFU56AScF/Dks7hJmtCYB0Eos9ZtOI6uLlRCs+Q1GhTGrvUaEMAAlMT+Hh+ft6a/+wPXKesorssxfq8Npfs+3nJnXH11E/Ba7Ml2WH4+m2tC2lVJ7x6nX7Czx3whNsy4VTnoBJwX8OSzuEma0JgHQSiz1m04jq4uVEKz5DUaFMau9RoQwACcxDQLXTK7KmVyilr7m1PXnoaAhNEknGKk6Fl9HXSpbTZkuwFfP22Fq3MBCbclgmnygyhXi7gvoYlncNN1oTAOghEn7NoxXVwc6MUniGp0aY0dqnRhgAE5iCgW2iO2TPMeXIAJ09wPMgiq9CZYz5O5JyjClyS7Y+v39ailZnAhNtS5ImMxxkgoWFJ8ZOjCQEIjCMQfc6iFcetvxRt4RmSmigpjZ3dvvCHmRMNTQgUQ0C3UDEujXPk5ABOnuC4vzNPf3xx32iRTvmcnbJfgUuy5/f121q0MhNgW1rgARIaltSa8hUCEJiaQPQ5i1ac2sPLmE94hqQmBkpjZy+FyhmgCQEInELg4r/rdPLdMDOBk/07ZXd9tkU65XN2yn4FLsme39dva9HKTIBtaYEHSGhYUmvKVwhAYGoC0ecsWnFqDy9jPuEZkpoYKI2dvRQqZ4AmBCCwagKl3w1F+lekUznSWIFLstf19dtatDITYFta4AESGpbUmvIVAhCYmkD0OYtWnNrDy5hPeIakJgZKY2cvhcoZoAkBCKyaQOl3Q5H+FelUjjRW4JLsdX39thatzATYlhZ4gISGJbWmfIUABKYmEH3OohWn9vAy5hOeIamJgdLY2UuhcgZoQgACqyZQ+t1QpH9FOjUmjVM/Ba/AJdnr+vptLVqZCbAtLfAACQ1Lak35CgEITE0g+pxFK07t4WXMJzxDUhMDpbGzl0LlDNCEAATOTyC1UpnA8zMuHeV9kXdX6dCCZFOpyk6SvZiv39ailZkA29ICD5DQsKTWlK8QgMDUBKLPWbTi1B5exnzCMyQ1MVAaO3spVM4ATQhA4PwEOKDePbj4KtQb2TkHUhNOdpLsOHz9thatzAQm3JYLP5EBEhqWlHmvWA4CKyIQfc6iFVcE7yBU4RmSGkVK4wNglXjhDzMnGpoQWBgB3WULC4xwyiSQmnCyk2RH6Ou3tWhlJjDhtkw4VWYI9XIB9zUs6RxusiYE1kEg+pxFK66Dmxul8AxJjTalsUuNNgQgMAeBab7rpLtsDh/nnXMaAvP6yOwOgdSEk50ke2pfv61FKzOBCbdlwqkyQ6iXC7ivYUnncJM1IbAOAtHnLFpxHdzcKIVnSGq0KY1darQhAIE5COgWOmX2aWY5xYN020v2PT3qC7dM3TTZSbJR+PptLVqZCUy4LRNOlRlCvVzAfQ1LOoebrAmBdRCIPmfRiuvg5kYpPENSo01p7FKjDQEIzEFAt9Aps08zyykepNtesu/pUV+4ZeqmyU6SjcLXb2vRykxgwm2ZcKrMEOrlAu5rWNI53GRNCKyDQPQ5i1ZcBzc3SuEZkhptSmOXGm0IQGAOArqFTpl9mllO8SDd9pJ9T4/6wi1TPwWvzZZko/D121q0MhOYcFsmnCozhHq5gPsalnQON1kTAusgEH3OohXXwc2NUniGpEab0tilRhsCEJiDgG6hU2ZPrVROWXNve/LS0xCYIJKMU5wMLaOvky6lzZZkL+Drt7VoZSYw4bZMOFVmCPVyAfc1LOkcbrImBNZBIPqcRSuug5sbpfAMSY02pbFLjTYEIDAHAd1Cc8yeYc6TAzh5guNBFlmFzhzzcSLnHFXgkmx/fP22Fq3MBCbcliJPZDzOAAkNS4qfHE0IQGAcgehzFq04bv2laAvPkNRESWns7PaFP8ycaGhCoBgCuoWKcWmcIycHcPIEx/2defrji/tGi3TK5+yU/Qpckj2/r9/WopWZANvSAg+Q0LCk1pSvEIDA1ASiz1m04tQeXsZ8wjMkNTFQGjt7KVTOAE0IQOAUAhf/XaeT74aZCZzs3ym767Mt0imfs1P2K3BJ9vy+fluLVmYCbEsLPEBCw5JaU75CAAJTE4g+Z9GKU3t4GfMJz5DUxEBp7OylUDkDNCEAgVUTKP1uKNK/Ip3KkcYKXJK9rq/f1qKVmQDb0gIPkNCwpNaUrxCAwNQEos9ZtOLUHl7GfMIzJDUxUBo7eylUzgBNCEBg1QRKvxuK9K9Ip3KksQKXZK/r67e1aGUmwLa0wAMkNCypNeUrBCAwNYHocxatOLWHlzGf8AxJTQyUxs5eCpUzQBMCEFg1gdLvhiL9K9KpMWmc+il4BS7JXtfXb2vRykyAbWmBB0hoWFJrylcIQGBqAtHnLFpxag8vYz7hGZKaGCiNnb0UKmeAJgQgcH4CqZXKBJ6fceko74u8u0qHFiSbSlV2kuzFfP22Fq3MBNiWFniAhIYltaZ8hQAEpiYQfc6iFaf28DLmE54hqYmB0tjZS6FyBmhCAALnJ8AB9e7BxVeh3sjOOZCacLKTZMfh67e1aGUmMOG2XPiJDJDQsKTMe8VyEFgRgehzFq24IngHoQrPkNQoUhofAKvEC3+YOdHQhMDCCOguW1hghFMmgdSEk50kO0Jfv61FKzOBCbdlwqkyQ6iXC7ivYUnncJM1IbAOAtHnLFpxHdzcKIVnSGq0KY1darQhAIE5CEzzXSfdZXP4OO+c0xCY10dmdwikJpzsJNlT+/ptLVqZCUy4LRNOlRlCvVzAfQ1LOoebrAmBdRCIPmfRiuvg5kYpPENSo01p7FKjDQEIzEFAt9Aps08zyykepNtesu/pUV+4ZeqmyU6SjcLXb2vRykxgwm2ZcKrMEOrlAu5rWNI53GRNCKyDQPQ5i1ZcBzc3SuEZkhptSmOXGm0IQGAOArqFTpl9mllO8SDd9pJ9T4/6wi1TN012kmwUvn5bi1ZmAhNuy4RTZYZQLxdwX8OSzuEma0JgWQQ+POFEn7NoRc9CC+8WniGpCZ7SeOFJQHgQKISAbqFTHJpmllM8SLe9ZN/To75wy9RPwWuzJdkofP22Fq3MBCbclgmnygyhXi7gvoYledx8udnyggAEIgl4auPgOWuPX7Ria7Cur8IzJDUsKI3XlRNEC4FzEdAtdIoHqZXKKWvubU9eehoCE0SScYqToWX0ddKltNmS7AV8/bYWrcwEJtyWCafKDKFeLuC+hiUNu/ly+zI8QC8EIOAQeLn1nSdfvzPBbhet2LNcRYfwDEkNAkrjVaQCQULg7AR0C53dlTQHTg7g5AmO+11kFTpzzMeJnHNUgUuy/fH121q0MhOYcFuKPJHxOAMkNCxpcHIq40EsdEJggIA5Lb7z5OvvzRKt2LNcRYfwDEkNAkpjJxUu/GHmREMTAsUQ0C1UjEvjHDk5gJMnOO7vzNMfX9w3WqRTPmen7Ffgkuz5ff22Fq3MBNiWFniAhIYltaaHX6mMD2kgQ+AYgeq0+M6Tr783X7Riz3IVHcIzJDUIKI2dVBAqZ4AmBCBwCoGL/67TyXfDzARO9u+U3fXZFumUz9kp+xW4JHt+X7+tRSszAbalBR4goWFJrenBVyrjAxiIEDhKoD4tvvPk6+/NGK3Ys1xFh/AMSQ0CSmMnFYTKGaAJAQismkDpd0OR/hXpVI40VuCS7HV9/bYWrcwE2JYWeICEhiW1pvpKZSwWSBA4TqA5Lb7z5OvvzRmt2LNcRYfwDEkNAkpjJxWEyhmgCQEIrJpA6XdDkf4V6VSONFbgkux1ff22Fq3MBNiWFniAhIYltabdVyrjDgUCBAIE9qfFd558/b1ZoxV7lqvoEJ4hqUFAaeykglA5AzQhAIFVEyj9bijSvyKdGpPGqZ+CV+CS7HV9/bYWrcwE2JYWeICEhiW1pu1XKuOWBF8hECLQnhbfefL19+aNVuxZrqJDeIakBgGlsZMKQuUM0IQABM5PILVSmcDzMy4d5X2Rd1fp0IJkU6nKTpK9mK/f1qKVmQDb0gIPkNCwpNZ0/7V9r+9004QABHoEutPiO0++/t5M0Yo9y1V0CM+Q1CCgNHZSQaicAZoQgMD5CXBAvXtw8VWoN7JzDqQmnOwk2XH4+m0tWpkJTLgtF34iAyQ0LMneq+69vt1NCwIQ6BHQafGdJ19/b6poxZ7lKjqEZ0hqEFAaO6lw4Q8zJxqaEFgYAd1lCwuMcMokkJpwspNkR+jrt7VoZSYw4bZMOFVmCPVyAfc1LMl2c8sLAhCIJfDSnh7veWoVQl99E4TsVjIuPENSA4HSeCXJQJgQODOBab7rpLvszOEkLD8NgYSFMUknkJpwspNke+Hrt7VoZSYw4bZMOFVmCPVyAfc1LMl209dva9GCAAR2B/+ase/c+Pp79KIVe5ar6BCeIalBQGm8ilQgSAicnYBuoVNcmWaWUzxIt71k39OjvnDL1E2TnSQbha/f1qKVmcCE2zLhVJkh1MsF3NewJNtNX7+tRQsCEKA0zpcDupeGpMYPSuN8+8FKEFgzAd1Cp1CYZpZTPEi3vWTf06O+cMvUTZOdJBuFr9/WopWZwITbMuFUmSHUywXc17Ak201fv61FCwIQoDTOlwO6l4akxg9K43z7wUoQWDMB3UKnUJhmllM8SLe9ZN/To75wy9RPwWuzJdkofP22Fq3MBCbclgmnygyhXi7gvoYl2W76+m0tWhCAAKVxvhzQvTQkNX5QGufbD1aCwJoJ6BY6hUJqpXLKmnvbk5eehsAEkWSc4mRoGX2ddClttiR7AV+/rUUrM4EJt2XCqTJDqJcLuK9hSbabvn5ba7Gt19//dX9ZKT3Ip8/fdrt/f1+bGb5/fhqa6m/7ehsaldG/v0Pj5fSV7t+cpHRaJNnr+fptLdOKVuxZrqJDeIakBgGl8SpSgSAhcHYCuoXO7kqaAycHcPIEx/0usgqdOebjRM45qsAl2f74+m0tWpkJTLgtRZ7IeJwBEhqWZE/u67e1Ftp6ud2Y1/WfU8P7srnZ7R421808t5vPQxNeVWtVrx9DozJ6vBoan6bvx+2n9In2xnP6l+5cHkudFkn2yr5+W8u0ohV7lqvoEJ4hqUFAaeykwoU/zJxoaEKgGAK6hYpxaZwjJwdw8gTH/Z15+uOL+0aLdMrn7JT9ClySPb+v39ailZkA29ICD5DQsKTWtPnq67e1ltl6MXXqp2+PV0+nhmeXxs/DP4h+uLvbbjZ3d3f/DS2XpzSuHR1aPqZvb0xpXMHynRtffw9wtGLPchUdwjMkNQgojZ1UECpngCYEIHAKgYv/rtPJd8PMBE7275Td9dkW6ZTP2Sn7Fbgke35fv61FKzMBtqUFHiChYUmtafPV129rLbN1t9lUPzD++LfbPT/e3n01X789/vrv/v559+PuU/VBa6f59Hh/e//9ve5/frirf/z74+7+t10aGyNLw8xdG5nOzab5NHW7XLfuzi6N7XV/PlYrNf+vduL1y93dw7f33ZdHU2X/evxer/b7vvGnXc1M8fu+/Rnx3uLbzebq8fFl18WxM4E+/H56NJ8Hr1zZu1mt0XnWLdIaUxpXeHznxtdf2VivaEXLajUN4RmSGgyUxk46CJUzQBMCEFg1gdLvhiL9K9KpHGmswCXZ6/r6bS1amQmwLS3wAAkNS2pNm6++fltrka1/m83jPrAfm435vPP16+5mc1195vnB/Hdlqlin+XB1az6Cfbczhaz5AfBmY76R+rX6uu1/oFoaPzabm+vNjSmou9LYdDXLdcJBafz01V33d11RX21MxV293q8329urzevuemNK2scDf4xlt9rt5sYsbFvUnx/fPO26OA7c7wwbk86zbpHWuPJvrS+dFkk2C1+/rWVa0Yo9y1V0CM+Q1CCgNHZSQaicAZoQgMCqCZR+NxTpX5FO5UhjBS7JXtfXb2vRykyAbWmBB0hoWFJr2nz19dtai2z96X7t960qkv9dbz6ZWvjq72tVJJsPWz9VJarVrP5A1vNm89cUsps/77eb+11t+Xo1VBpL40dVzX43tvufGnfLdUJVbB/+grKz7tb8frJZ9333YV67l83Vx2738m6Vxld/d59NBW1m3K9mXPz++se2eP+8uXl7+9h1cch9GdZryLOuNG6NF5kLkUHptEiyTX39tpZpRSv2LFfRITxDUoOA0thJBaFyBmhCAAKrJlD63VCkf0U6NSaNUz8Fr8Al2ev6+m0tWpkJsC0t8AAJDUtqTZuvvn5ba5EtUxp/bwL7vdmYj09/2VyZWth8Bvm6KlPrutlp/n282ZqfKv82hexDpX9TFazG8tNQabzXMHN/eny8NmV0Vxp3y3VCvzS23Phh5v9sqvfql6M3H6Zsvb7/aj4K3lWtxh+jb0aftdpt9dNk12L/68JdHI37j2b6zrBZQ55pkb1xg2yd/9dpkWST8PXbWqYVrdizXEWH8AxJDQJKYycVhMoZoAkBCJyfQGqlMoHnZ1w6yvsi767SoQXJplKVnSR7MV+/rUUrMwG2pQUeIKFhSa1p89XXb2stsvVuPjjdBPZf9ZPg6sPFpjQ2VXFdDe5L48Pm29Xm9uuXzea/5me8XzbbqqI0luaHse5fqK5/ClxpmLlvqlf12e39T4275TqhXxofrrt7v9o8X5nfi27K1t2fh+qvXf9u/PzUfKDaTG9+2v1bqzU/hnYsmupWcTTuV6VxZ9hYyLMaRr0IpfFBPes7N77+3gmKVuxZrqJDeIakBgGlsZMKQuUM0IQABM5PgAPq3YOLr0K9kZ1zIDXhZCfJjsPXb2vRykxgwm258BMZIKFhSfZe+fptrWW2Pm3qX981/95wLdxtbo+XxqaQfKt+TnxQGpty1GTQzZHS2Mz9bPB9VH9/a18ad8t1QqA0Nj+g3poq++D1drv5YpZ9rD6q3fzus/mDXKZM12r2J7R3u9riaz2L4jC/bv2tmuJmJ8N6FXmmRRrjAyfWJ2oPJNkUfP22lmlFK/YsV9EhPENSg4DS2EmFC3+YOdHQhMDCCOguW1hghFMmgdSEk50kO0Jfv61FKzOBCbdlwqkyQ6iXC7ivYUm2m75+W2uZLfPbxZvtw435peL7zdWX++q3i4/+1Nj8QPXxh/n7WwelsbHcfL6r/97VQ/Vp5+oz2nVR2v3UuPr3jr/9+HJdvW1t/0J1t1wnNEYdZseNqnBtP/xtfjq8/frzR/XLy+aXix+qfw+qKqw3d6ZlpG61w9K4szDV8939m+Iwf8Rrc3PV/qp062blRueZFmmMOx/XKOi0SLI5+PptLdOKVuxZrqJDeIakBgGl8SpSgSAhcHYC03zXSXfZ2QMa7cA0BEYvi8EpBFITTnaSbD98/bYWrcwEJtyWCafKDKFeLuC+hiXZbvr6ba2Ftt4+V59Mvv+7ezcl4uba/AVopyZ1mqa0vTIF4mFp/M9UpZ/2H6g2c1Q/hXVKY/Pnq8zrrvpnotrSuFuuEwKlcVWB/2s34e2mmvDxY/fPCJ/3f6H68ZMpcl/Nn69uVzssjTuLD/NLz+ZPW3dxGPWr6++P5sflMmyW6TzTInvj1o01ftVpkWRz8PXbWqYVrdizXEWH8AxJDQJK41WkAkFC4OwEdAud4so0s5ziQbrtJfueHvWFW6Zumuwk2Sh8/bYWrcwEJtyWCafKDKFeLuC+hiXZbvr6ba3ltv69mr/2bF4fr13peSTY9732ocpr808VH3Y5spm7WUT93XKdoLEh6Vv7a9H14Pvr3o9/+7WrOvjNFMbVa2A1U/i2Fo1OF0dl/7Ft/jq2Y9h51i7SmK76/zotkmwgvn5by7SiFXuWq+gQniGpQUBpvIpUIEgInJ2AbqFTXJlmllM8SLe9ZN/To75wy9RNk50kG4Wv39ailZnAhNsy4VSZIdTLBdzXsCTbTV+/rUXrrAR+f6n+CNeR1+GPiI+o9Yd+bh8/bzdX+6q6P06PRUCnRZKlEF/x+iawp1ttS3iGpAYLpfFq04PAIZCVgG6hU5adZpZTPEi3vWTf06O+cMvUT8FrsyXZKHz9thatzAQm3JYJp8oMoV4u4L6GJdlu+vptLVpnJfBlU/+qst+H++uv/sFjI3/urjbXj1TGxxgdjOm0SDoYNqKv39Yao9izXEWHOA5JDQJK41WkAkFC4OwEdAud4kpqpXLKmnvbk5eehsAEkWSc4mRoGX2ddClttiR7AV+/rUUrM4EJt2XCqTJDqJcLuK9hSbabvn5bixYEIHBY+PrOja+/Ry9asWe5ig7hGZIaBJTGq0gFgoTA2QnoFjq7K2kOnBzAyRMc97vIKnTmmI8TOeeoApdk++Prt7VoZSYw4bYUeSLjcQZIaFiSPbmv39aiBQEIUBrnywHdS0NS4welsbMfF/4wc6KhCYFiCOgWKsalcY6cHMDJExz3d+bpjy/uGy3SKZ+zU/YrcEn2/L5+W4tWZgJsSws8QELDklrT5quv39aiBQEIUBrnywHdS0NS4welsbMfQuUM0IQABE4hcPHfdTr5bpiZwMn+nbK7PtsinfI5O2W/Apdkz+/rt7VoZSbAtrTAAyQ0LKk1bb76+m0tWhCAAKVxvhzQvTQkNX5QGjv7IVTOAE0IQGDVBEq/G4r0r0incqSxApdkr+vrt7VoZSbAtrTAAyQ0LKk1bb76+m0tWhCAAKVxvhzQvTQkNX5QGjv7IVTOAE0IQGDVBEq/G4r0r0incqSxApdkr+vrt7VoZSbAtrTAAyQ0LKk1bb76+m0tWhCAAKVxvhzQvTQkNX5QGjv7IVTOAE0IQGDVBEq/G4r0r0inxqRx6qfgFbgke11fv61FKzMBtqUFHiChYUmtafPV129r0YIABCiN8+WA7qUhqfGD0tjZD6FyBmhCAALnJ5BaqUzg+RmXjvK+yLurdGhBsqlUZSfJXszXb2vRykyAbWmBB0hoWFJr2nz19dtatCAAAUrjfDmge2lIavygNHb2Q6icAZoQgMD5CXBAvXtw8VWoN7JzDqQmnOwk2XH4+m0tWpkJTLgtF34iAyQ0LMneK1+/rUULAhCgNM6XA7qXhqTGD0pjZz8u/GHmREMTAgsjoLtsYYERTpkEUhNOdpLsCH39thatzAQm3JYJp8oMoV4u4L6GJdlu+vptLVoQgAClcb4c0L00JDV+UBrn2w9WgsCaCUzzXSfdZZfHchoClxf3RXucmnCyk2SD8PXbWrQyE5hwWyacKjOEermA+xqWZLvp67e1aEEAApTG+XJA99KQ1PhBaZxvP1gJAmsmoFvoFArTzHKKB+m2l+x7etQXbpm6abKTZKPw9dtatDITmHBbJpwqM4R6uYD7GpZku+nrt7VoQQAClMb5ckD30pDU+EFpnG8/WAkCayagW+gUCtPMcooH6baX7Ht61BdumbppspNko/D121q0MhOYcFsmnCozhHq5gPsalmS76eu3tWhBAAKUxvlyQPfSkNT4QWmcbz9YCQJrJqBbqE/h53/9vuGew1l+PQ3oxE7l1fv7+/frwbw/fh80DkXvwKGSJXe+R5pGqllrTNUIrd3hG9yEqbw4dZ5QFP35u7jaodRPwXebvZPUztl89fXbWrQyE5hwWyacKjOEermA+xqWZLvp6z/Qmu+27RaJvAQi1bpppxRCa3e30tJv2ymhtnMNMuuItlqer7F6HvN+t39CnRZJtr2v39YyrWjFnuUqOoRnSGoQUBqvIhUIEgKzE/gaKCJ0CxlXHOVPX2PdO1zk85cBq8/fDjqdZQ5Gdr4lv1zd3m4epfnQzXe4tBnXwF75yGKNRkegZ6rlDucKq/XsJusIrd1hHtwEueFA00CEFAQanCMURX+CLq7+0LiebrO971OkMW5mtGclMOG2TDjVrCF7Jg+4r2FJ9ky+fmn5b1vp1FLvJMdfDj1TZ+r90yis1rObrCO0dncrBW7bUxyKB+pbJRRF366Lqz80Xc8gM2vlI6EPvk04ot9321EenLC20mmRZE/n67e1TCtasWe5ig7hGZIaBJTGq0gFgoTA7AT8d36ztG4h03aUnWakr4PPPMv2yLy+oTczwd/NUzeNnvdWAAOlsW/GbqpuAs3ZjTlCPVdYzbI6pQq1Jqoa0WsHNqGLubdCuCMINDhFdBTBmUYrKHBJ9iS+fluLVmYCE27LpCcyMwazXICEhiXZTvr6peW/baVTS72THH859EydqfdPo7Baz26yjui1A7ftKQ7FA/WtEh2Fb4J5+sPMjoQ+ODTY6XPeUXaaB1Y6LZIOho3o67e1xij2LFfRIY5DUoOA0thJhQt/mDnR0ITA/AReP9/df3n7tb15fHzbvZjGt3ez6POn24dfWvz507Zq7odd5ep58fRw+/lfZfDz7v4/50NQz5/uHv+aoR//Pd3fP7VK1TPvx3+/7uqe1vynGW7V9stU+rvdt2fzv2peY3L/xS3Od7smjFp1t/3RfDX/f/i2X+BbdY3WfjWhVW8E3r+Yj1vvnbMW68xrYT/1tvWgm3Ov1gXR0mvmevjWRmtPd9jaW/w1KLaP5mPpv7/bkXTIjdF+S9qdaaHuvTuMvymND6N7rn+u/9RxqTDXOzXwxuPAp/ftoE/tWq0Le9eanRkE2pLpolA0TWocj2I/50EU9lpd0tVxtbnU5tEeeNfsnKkmuX82xg9/Kp0uHCNX2dK8JLU9x/ttLVqZCfi2K7MbBSwXIKFhSbbXvn6j1d4AlcHgbdvelftzPv627e77eW7b9xJv22GfWtbd9dQ8Aewb0Hp8dRdce8u2X9spSrttm7xrvesu6u4JZWKd4m1CE/YeVQepfaA2TrSo9sOusv+tjk6LpP2U+y++flvLtKIVe5ar6BCeIalBQGnspIJQOQM0IQCBQQLXX/88f//39+7T798fu58//zzf35tCd/P9z3/dZ5Gr5tequR92lKs69dfVz+dP16ao/n79ZOpoU+rp9XT188/3K/MbwA/bz88/NqYM+Xn16/mhUnrYPj7/3Pwn8+rR06rtl2kmuq2+7fVYm3z6/dwvjZswKt33X9Va+1e7wO62uhsq+31o5s3av5uqpN87Zy3WWjdf91PfyIPG6VarW6Ol18zVhtGqDX3dW7xt/u22G8P9k4GsSCqLds7W73ZnWr9bddvKje5tU31r4rr7ZkeFudsEx7EDn35vB33ar9W50CLdVjvT9lpA3Si6aK72qbGfcjiKds6DKB6stbqkq+LqUtHZgK7ZOVP1fNt8+fL89epdmVDj0JNEks3J129r0cpMgG1pgQdIaFhSa9p89fWbUZ1Tz23b3pXt1TD6tj247+e4bX+XeNsO+7SC27bOt/bB0T3/9YRqn7Dd1Z72NqEhuX8wtU+B9oG6z/22uR92lI+81dFpkbSfc//F129rmVa0Ys9yFR3CMyQ1CCiNnVQQKmeAJgQgMETg3+at7q4eNs3rffO6u+5+vlj3HTarYVu5al5X74W233e7q6fd7uPalKB61RXZl8+m5r0znQ9moarn46qqc29Mz7dbmdfPvFZNy+x2eqt0W818OFS12zB2r5vN1cGf3moXUGm8j+Xh20vtc+ecO2M1a/1qp5YHe6dbhW6NqqPC03jXRdvqeb5WFje/dtsvm4/d1bMikXo9597vditav/fetU7ujfrRGdi/rz7aOatgu01oOw++7n36uh3yqV2rdaHNlod6Z7peF+hhFK1Jq3w8iqamNxn0qYvCXqtLujquNhWdDbCatTN1T1X9767NT8dbX2oMepJIOuBjRF+/rUUrMwG2pQUeIKFhSa1p89XXH3PbtqVxqbft1xJv20Gf1nDb1vnW3b/dRV31TPg2oSWpB1P1FGgfqPvcP2xWw7bykbc6Oi2SYs+TrcejxeHhNMV3SGqUKY290JwBmhCAwCCB25tv5ue4+0fA+/cH82esnl+r+k6vrrkftpUr23+1wZdPpjKtPlVdlTDd63Xz9ft3M29TFe++Pprqr1J6qErjSvHPplnAmNczV8VzpbZfpplIhWldw+uJ1Qzv9mHsdm+v36sfTO9f+wU+utK4jeXhrq6g5VxvxnaKdmp50Djd1ZndGi2exvEujG6ivtBamGi3f+6eX0wl2i63V2419n637svvfeBd/LVdL7pnUxbXfjbTmmC1CY5b7YrGp5vtoE/NWp0LrU91wF2vtXvtnK1qF02bGseiMEm1V1MU1lpKujquKnerXHI2oGu2zjQK9+YH9dU3XrpFahz+h25LSxptD18LIMC2tJsQIKFhSa1p89XXb0a728Z32+5L4/a89+6jc9+2NyXetsM+reC2rfJN9297UesJNdHbhH3WNrm3fwq0GdqkvPFi/86nfUhYysfe6ui0SNpPuv/i67e1TCtasWe5ig7hGZIaBJTGTioIlTNAEwIQGCTw8fR4dfNvX8jcffrz+rr5/beuXTv1rrkftpWr50VTnHx9MI+WXmn8d/Pth3mZ7wBXv3G2+1rVz29GqD8dXdW5L5uX2sqY1zO3avtlGjdUmFaTWEO1wj6MWv5k6qL9q37Mvmzeu9K4jeXh/qr6eLGc879Z208tDxqn33trtHga77owWr2Br63F7+u37ce3rz+qn2AeRrLbtRp7v1v35fde3bbqRWd+Lv2v/lB144QJVpvg+NWuaHy62g761KzVudD6VAfc9Vpb1M7ZqnbRtKlxLIqDTeqisNZS0tVxVRlY5VKl89Ok2/7V7UfrTJOP99/NuNlbOV7p60kiqerXy9cvDaQzEGBbWugBEhqW1Jo2X339ZvTwthm8bfelcXvee/fRuW/bqxJv22GfLui2rR7u+9eo27ay0f3bmuoJtX+Kn/o2YZ+1Te7tnwJthu7d7prtQ8JSPvZWR6dF0n7S/Rdfv61lWtGKPctVdAjPkNQgoDR2UkGonAGaEICAj8DH7bemkKl+59X8OPH3++bgM8nVh4SbZjtsK1fPi49N9XdXzJ/H+qhVrd81bq2rWsW8YzJPz0b7pvqpsalgzG+Sdub1zO2jsVlm73RdwdxVJsOlsVGrwqhfn6pZm9d+AeNb9dA29q035iPHV8abtjlQbLdTVF+rqeVB43Q33q7R4Wkc78LoFHtCZ/G++brd/bl9+N6odJHsDjTqPWj9bb/W+nt1WRlITnTmL5p8qz6nvn+ZB742oe1svh6s+PXh55BPlZ5Zq3OhFeqA24YF9GDOJpP2WlJuptzPXH2pXvsoDjapi8JaS0nXxWVSsc6Ubf/NWudMk0ptaWz5cvDuxPdM8fU3rvP/MxFgW1rwARIaltSaNl99/c1od9sM3rbfjVLJt+1DibftoE8V7Uu5bQdK46jbtopR92/74NQTarq3CVXW1tVu65eWrZzovGiHbeVjb3V0WiTVU3b/8/V3Cq0QrdgarOur8AxJDQtKYycnhMoZoAkBCAwReDMfPn43f2Hq6/37hymXfu0+Hkx1+/nGfK7opdPfN7thW7l6fHy+fdv9V/1Y8svNy9vX6teI9aqtX806D9Wfia5qlce7992vTVW9mLXebr7JvHpstY/Gxqf9PN9u3s3fbvKWxm0Yv/6Zn2iYKNpXu8Cus9/HYhb5e/1910RaOVfH1Jodfm2n7mbo5txrte0OTzNXF8bhZLYsi7tN9R2DjUHeLtdoSmPv9/5L5/de3baqENrRmWd+9Qu57avC3G1C29l81Yp3mx+DPrVrdfsqpGaKrvcAqOa03H/plI9H0akpihpu198lXRVXl4qVzkBpLGfqSdrSuJusxqAniSSbk6/f1qKVmcCE21L95POCXwESGpZkR+vr1x11ubft8M2mq2F/T1nXlXlKHL+nuqtP91RNdDW37UBpLKRHbtuaUkevVpzhbUL73LLfvbRbvM/9fbNz21Y+8lZHp0VS7Hmy9Q6+L+sM0KwIiO+Q1DCiNHZy5cIfZk40NCEwO4HX68128/ix+3d/ZX7N5tdme/XT/BLux+Pm2hRr7atttsO2cvW8eL/fXFc/hd19fL66/va4//FtY//xxYxdPx2Uxm93m+uH+gPVX+6uNw8fMq/eRXSPxmaZZpL3283VY20y+FPjNoz7zWZz+Jc0HvYL7Dr7fSzVIq/X33adc4eLtXHXX9upuxm6OfdqXbvF08DswrBmsxudxbfq2wr3V2a0XW6v2Gns/W63ovV7r+5Y9aIzFaP+CFfzE91uE2yXuhzY+Xxq12pdaLOlDngYqBtFa9JOcTwKzdlFYa/VJV2VPl0qVjoDpbECrCfpSuPWlxqH/6Hb0pJG28PXAghMuC0TTnUOMAH3NSzJdtPXrzuK27YmVt0j1rNkrbftQGkcddvWFLv7t76Wq9K4e0K1T9juak96m9A+t+x3L+0DdZ/7bbN9YtnKR97q6LRIij1Ptt5B7ecM0KwIiO+Q1DCiNCZXIACB0wi8vb5rgo/Xj6bx/vqmXlNvfKub3XA9ZrXeWkszZP7gsvX6aCfr7rJ/1S+E1lXwXjo0t2y7xj/Loa67FfZhOH6b0f0Cu87eUemca2fqfW2m/qkZujlrVfMo369hAelNM9QxZGFtyE4ae79b91u/9+q2VbdWq9X8zamuuxZaMnbvwYoasGdvW93krU+1Qdcr84M5W9X911b5eBTGvtn9+rfOrHm7rFDSHeRSl3AHNgfOHPaab+u0aTr8+LWVB2e2VWjlJzDhtkw4VX4Ohyk8uLqik2Qr+vorrf1xbQ+zDNs75dTb1tzb3clu56xX4bbdWdQPLq1uF3rPjNakVZ7ptu0cOBTkzGGvddvuB1rvpLffee35wdUuLUtS2ljddaN9btWNzi8Lp3mr0zwFumFbuWodOtE9dXRaJNWm3f98/Z1CK0Qrtgbr+io8Q1LDgtJ4XTlBtBA4FwHdQsc9+Pv0+vfz9b6+7qm6s9TfIO5pldnh+t55eQlB/Huy/7Ja5/xFCb4o/Enn3bRA3LKTZJv4+m0tWpkJTLgtE06VGUK9XMB9DUuy3fT121q5W9y2uYiPv23n8qzMPbefOjotkmwevn5by7SiFXuWq+gQniGpQUBpvIpUIEgInIXA22Pzqr59r1vouCuvDzc3j82PhAcU3VkefwwoHXYdunDYH5ATzY7O6vrerREM4ui0w4Pd5MPDnl6/1d3Nk7Hxj3smtLrHW4+3qBb0WzVRWE7VDX/SbY/M1p9HPdpsSRqtJF+/rUUrM4EJt2XCqTJDqJcLuK9hSbabvn5by7T8B7anmtzRrcFt62PYIfIpDPb7rcbftnOlQnDP/UEMxtzvTJnAfurotEiy1/H121qmFa3Ys1xFh/AMSQ0CSuNVpAJBQuAsBD6em1f1M2DdQqe4MnqWQxdGLJxodnQF1/c51ugcSJs8ZBUa75YfFMZbj7eoFk6zGnR59zNxNm22JHsFX7+tRSszgQm3ZcKpMkOolwu4r2FJtpu+flvLtKY8sL3J9x2zrpE2ecgqNO4Ltekfbz3eolopzcrn+7Sz+Vbp9Z+87MkTHLxB8p0bX38vmmjFnuUqOoRnSGoQUBqvIhUIEgLnJFD/DLi+hbw/DY517zx/J692u176lAB0D8dGe/l659mvabhpryVFz6zNlmQb+/ptLVqZCUy4LRNOlRlCvVzAfQ1Lst309dtatCAAgcOfHfjOja+/Ry9asWe5ig7hGZIaBJTGq0gFgoTAOQk8Vf+KU3ULvTyd0430tacJQPdwuidHLIusQmeO+QiO04fqXa+mSUlbBS7JdsnXb2vRykxgwm0p8kTG4wyQ0LAke3Jfv61FCwIQoDTOlwO6l4akxg9KY2c/Lvxh5kRDEwIlEHi/MbWxuYWebg/+lHUJjsX60Abw30kB6B6OXXeU3szTj/KlUy7Sqc6740K960YladcVuCR7OV+/rUUrMwG2pQUeIKFhSa1p89XXb2vRggAEKI3z5YDupSGp8YPS2NkPoXIGaEIAAqkEHrcv5pc2v2/NP994ma9PJoDt7udpAcz8fbci764inYrNwWrXd4m7rsAl2ev6+m0tWpkJsC0t8AAJDUtqTZuvvn5bixYEIEBpnC8HdC8NSY0flMbOfgiVM0ATAhBIJfC6NT83/r7dJvzOZuqS09pVAWx/lh1AkXdXkU7F5kadtom7rsAl2ev6+m0tWpkJsC0t8AAJDUtqTZuvvn5bixYEIEBpnC8HdC8NSY0flMbOfgiVM0ATAhBIJnC/vfmyfficbF8Zqq6WdNKEY4xNAA8nBCCPJY1ZPqBbT1rfXbNMH1jdM1ykUx5fPd1325uvibuuJ4kkexVfv61FKzMBtqUFHiChYUmtafPV129r0YIABCiN8+WA7qUhqfGD0tjZD6FyBmhCAALJBJ635nVffTw1/XXSX0VKX7axPDGAmX2vp6/urpQ/GHUqGp99kU75nB3u/52etnqSSLIX8fXbWrQyE2BbWuABEhqW1Jo2X339thYtCECA0jhfDuheGpIaPyiNnf0QKmeAJgQgkE7gdrv9/JBuXlm+35rS2vy+7stJfwsr1Yeb7fYxPYDad7P0TL7X05u7a6bp05idd7/SfHat0nddTxJJ9uy+fluLVmYCbEsLPEBCw5Ja0+arr9/WogUBCFAa58sB3UtDUuMHpbGzH0LlDNCEAATSCfwyleV/6ea15WfzC8vb3ctpfwsr1QfzK6efTgjgS/VHuncvN19S1z9uV6H5adB8Pa6Wd3TmmHMEk77repJIsj329dtatDITmHBbZv67e3ODCZDQsCTbJV+/rUULAhCgNM6XA7qXhqTGD0pjZz8u/GHmREMTAqUQ2D7cnurK3+pvYb3cnOmPeZ0WwL/qD5HN53uFZsbp03Zu5pjTnBpptb1PTFv/Q7f1QBptD18LIDDhtkw41TnABNzXsCTbTV+/rUULAhCgNM6XA7qXhqTGD0rjfPvBShBYLYGPl8/bby/t6yORw93t7ePN9nHQ+qOdvP6ausLg1Lt67sc2gLS5H25uf93e2B/JntBng+aXD82RoDpoaUENz9z1DsXcDUYIE/KJWG1A5eOl23VDahQj/0O3XUcabQ9fCyAw4bYMT3X2rI6FPOx+Z61hSd1gLfj6bS23NRefueZ1/R9sn3XxQY96nWd3MYcD86+RvIJOiyR7k3z9tpZpRSv2LNM7kuNOXzLVUniGpGZWSuNUuthBAALRBF6qv2fUvarPFqe8fm/vb6ofjw69pllhaGbzOejO80oYXn/YUr1/trc3t9s/6jDSFPPuJ/xv++BFY63ZNSZcvJvTEYZidlSONjO4eHT9UzbI/9Btl5RG28PXAghMuC3DU509q2MhD7vfWWtYUjdYC75+W8ttzcVnrnld/wfbZ1180KNe59ldzOHA/Gskr6DTIsneJF+/rWVa0Yo9y/SO5LjTl0y1FJ4hqZmV0jiVLnYQgEA0gZftr19/9q9ficWlWcz8VaTt/fCiZoV2gT8nrDA4eTN3M3/y3OYPkW2dD+dO6fMRNIMxmbJvPmDtigMxt0MxX3O4eNQP40AHaeTG+x+67YrSaHv4WgCBCbdleKqzZ3Us5GH3O2sNS+oGa8HXb2u5rbn4zDWv6/9g+6yLD3rU6zy7izkcmH+N5BV0WiTZm+Trt7VMK1qxZ5nekRx3+pKplsIzJDWzUhqn0sUOAhCIJvCy/fPRvv6kl8Y/THXp+VtYE60wGNEkcz+Z0vjJnn6SefdTft9ubzxo7EXb1pSLt3O6XwdidlWOtXO4eGx98+2D5LT1P3TbFaXR9vC1AAITbsvwVCckVV48w+53PmhYUjdYC75+W8ttzcVnrnld/wfbZ1180KNe59ldzOHA/Gskr6DTIsneJF+/rWVa0Yo9y/SO5LjTl0y1FJ4hqZmV0jiVLnYQgEA0ganuzd4PXjsPplqhm/BAmGZu84HngzkrcZp595Oa0tiZ/nhz0sV9S/Vj9mkO9WdxcWjhtu8EB/wP3XZyabQ9fC2AwITbMjzVCUmVF8+w+50PGpbUDdaCr9/Wcltz8ZlrXtf/wfZZFx/0qNd5dhdzODD/Gskr6LRIsjfJ129rmVa0Ys8yvSM57vQlUy2FZ0hqZqU0TqWLHQQgEE1gqnvzy9b3N+SnWmEopGnm/r797kw+zbz7Sf1onFX3zUkXH15it+vH7NMc6s/i4tDCbd8JDvgfuu3k0mh7+FoAgbt/kzkxfFedkFSTeRYz0e/hv3fYmSp/JXWDteDrt7Xc1lx85prX9X+wfdbFBz3qdZ7dxRwOzL9G8go6LZLsTfL121qmNeEd1pvb15Ect2/C2foPLjYRldSsS2ns8B9+mDlKNCEAgVEEpro3327ePetOtcLQ9NPM/d7zfZp59x770QyFNPGPrIeX2O36Mfs0h/on5TO0QKjvBAf0qJVkL+frt7VoZSbw4+uov0Q+3rsTkmr8YukWv29fjxsrfyXZFr5+W8ttzcVnrnld/wfbZ1180KNe59ldzOHA/Gskr6DTIsneJF+/rWVas99hvRUzvZ8YWHd01+HFJqKSmgkpjR2wLiBnmCYEIBBL4O+D+fXa9nX4S5tt37Rf51xhrrnnmjeK7FkXj/LQ+lXfOIuJtYYZPfwNngE9SSTZRr5+W4tWbgJfq79oN+trOKlmXXL85I+ByvjgU5u+TPb1D+xolmfFWbmfdfG47T+7izkcmH+NwRXuf4S+46bTIsk+Kb5+W6tqzX+HDWTUYNwDemfuOrzYRFRSQ5PS2MkqF5AzTBMCEIgl8PDcaSZ/K7WbISTMucJcc881b4hVPX7WxaM8nPZ3seOWtLV8jJ7tf5/aNmpaepJIsvV8/bYWraUR8CXVpcWp/JVkx+Drt7XqVoZnxVm5n3XxAd4DXWd3MYcD86/hWeHf188DzA+7dFokHY6f51eIbQ+OtDxxH7EoYEikJTVuURo72+MCcoZpQgACsQQODtP89+acK8w191zzRm3QWReP8rDc0vjgJ2a+SJT8kmxdX7+tRWtpBC7g4EUhV/5Ksg19/bZW3TpQnYvPXPMORNPvOuvifXeGes7uYg4H5l/Dt8LHQYoP4T94pvg0ff2D0+Xu9MWd249R64mopGYCSmMHpAvIGaYJAQjEEjg4TPPfm3OuMNfcc80btUFnXTzKQ0rjOExoXRSBCzh4UTx1vUuyDX39tlbdOlCdi89c8w5E0+866+J9d4Z6zu5iDgfmX8O7wkGKD+GnNB6kMm+n9kRSsyKlsUPeBeQM04QABGIJHBwm7/Midq6g3pwrzDX3XPMGYVUKZ108ysPzu+hldJDanlCkIclW9fXbWrSWRsCbVBcWqPJXkh2Cr9/WqlsHqnPxmWvegWj6XWddvO/OUM/ZXczhwPxreFc4SPEh/JTGg1Tm7dSeSGpWpDR2yLuAnGGaEIBALIGDw/Sy/fWnff3avsTOMEJvzhXmmnuueaOwnXXxKA9NaTx31gT8sB3Y//mQyuYgtT1TSEOSrerrt7VoLY2AnVRz3IV5iCl/Jdkr+/ptrbp1oDoXn7nmHYim33XWxfvuDPWc3cUcDsy/hr3CiGeGjoAke598/bbWmVp23BdyrYmopIYfpbGTR/zjTQ4QmhBIJXBw27xYf5VwjntzzhXmmnuueaM27KyLR3loSuPD1xxZE/BjyIE6qw9S2zOFNCTZqr5+W4vW0ggMJdUlxqj8lWTH4eu3terWgepcfOaadyCaftdZF++7M9RzdhdzODD/GkMr1Nl9kOJD+A++3erT9PUPTpe7cyju3D6MXk9EJTWTUBqPhokBBCAQReDgtvl4OXyF/hmDqNkdpTlXmGvuueZ10Aw3z7r4sEtu79ldNA7UxXmTvE3a1ll9kNqu0/u2NCTZqr5+W4vW0gicPasnAqr8lWRP7eu3terWgepcfOaadyCaftdZF++7M9RzdhdzODD/GmaFtGeGjoAke598/bbWmVrzk50hMBGV1CxDaTwDbqaEAAQMAfe2AQoELo7A1qSxlch1w+oZjEkakmxFX7+tRWtdBH7+dynxKn8l2b77+m2tujVCdcCaLggURCDtmaEjIMkOytdvaxXZKvRaE1FJDT9K4yLzCKcgsAAC7m2zgJAIYW0E6p8AHAZdZ3U4taUh6XAavnNk01hY62v8r2bZqp++XgoJ5bUk23dfv61Vt0aoDljTBYGCCKQ9M3QEJNlB+fptrTlb9l11dCVbtdBrTUQlNVFRGh/dXQYhAIFkAu5tkzwRhhA4HwEnjeum0zfgnDQk2Wq+fluL1kUSGPFW0Fa1WyXHrvyVZPvr67e16tYI1QFruiBQFAEnneum09fzV+OSbCVfv601Z2vE7WSr2q05XRw1t4hKaiagNB4FEmUIQCCagHvbRBuiCIFSCKT9BODwZ8K+Y+DrLyVy/Egh8Pr57v7L26/tzePj24uRv71Xszx/un341U7XNNpBR7V+D/n0cPv5X6X+8+7+v19PrWFZX5W/kmwPff22Vt0aoTpgTRcECiKQ9szQEZBkB+Xrt7VmaS30WhNRSQ0/SuNZ8ohJIQAB+1c04QGBSySQ9ntjlMaXuNdT+Hz99c/z939/7z79/v3x8+ef5/t7M+vT5vuf/77tp9832kFHtSqNf139fP50bWrq79dPz5+2X6bwa/o59GZSkr2Kr9/WqlsjVAes6YJAQQTSnhk6ApLsoHz9ttYsrYVeayIqqeFHaezkUfxvCDmGNCEAAZuAe9vYo7QgcAEE0n4CQGl8AVs7h4v/Nm/1tN0HCN83r7vd9Y+DtQ4a9aCtWrWuq7ch2++73dXTbvdxTWl8QA8RAqUTSHtm6O2SJDtSX7+tNUdrqdeaiEpq+FEaO3nkAnKGaUIAArEEOEyxpNArmICTxnXT6RvwXhqSbDVfv61F67II3N58+2M8ruvd9+8Pt7eb591rVR6b19vT09O/ttEO2qpV61+t/uWTsas+Vf2J0rimx/8gcCkEnLu9bjp9vVA0LslW8vXbWrO0Fnqtiaikhh+lsZNHLiBnmCYEIBBLgMMUSyqn3ut/v5sfbOVc9JLXqn8GcPC/KpZwaktDkk3B129r0bosAh9Pj1c3/5p69+7Tn9fXze/d37rE3e1eHh4e/rSNdtBWrVpNRfz1gdL4srYebyGwJ3DwuOh+hBy67zUuyQbq67e1Zmkt9FoTUUkNP0pjJ49cQM4wTQhAIJYAhymW1HG9H7efjiscHXWsHzfmxe+NHEUWHgyntjQk2fP6+m0tWhdH4OP2W13vvlUV8T9TGr+b/7rXvtEN2qpV68P8oHm3u/9ihMqO3zXu2CHMQsB5RIxb4yTjcUtdtnbovte4JDtiX7+tNVdrideaiEpq+FEaO3nkAnKGaUIAArEEOEyxpI7rfdncHFc4Ompbf9tsvn/e1O+9j1oxeJRAOLWlIcme0tdva9G6KAJv5tPU7zc/d1/v3z8+Nr92Hw9Vefv5xnyi+mUfSNPQoK1afRL78+3b7r/N393uy83L29crPlB9USlwec7aj4iR/p9kPHKti1YP3fcal2QH7Ou3teZoLfVaE1FJDT9KYyePXEDOME0IQCCWAIcpltSw3uuXu7uHb+/fbjZXj48vu6fH+9v77+bv1u5+3D38fnqs/uLt8+O+q53BdNx9NT+s+vL4n/lLt4/fd611o/BxtTFvvW83D60+X5MIhFNbGpLspXz9thatiyLwer3Zbh4/dv/urzavvzbbq59XpjT+eNxcb9qPfuwb3aCtWpXG7/eb66vqkx0fn6+uv9UHvUAIyl9Jtpu+flurbo1QHbBeR9e3x1//3d8/m+v/k/k2y8/HHybs5v9V/PunhW7+ndH/fX9Xaek5UfftM7G1aB8REQ+Y9vGiVVrjahVexwiEUlzjkuz5fP221hytpV5rIiqp4Udp7OSRC8gZpgkBCMQS4DDFkhrUezfvsm/NG+zb6iPQm6fdw5X5mz6bu93ua9XeVj9K/rHZ3FxvbqpyuXmZjqvN5vp1d70xlfOj0W6tm/G/m40pmT9vrloDviYRCKe2NCTZS/n6bS1aF0bg7VXH8eP1Y+/9++vBL/g3DQ1WOnbrrTPc7W66fxC5LBLKX0m2h75+W6tujVAdsF5H1435/op5PZj/rt52vzfVH0O/Mp9MqF/t00I3v7n6t5W++V7Lj+45cbu5MbJt0T4iwg8YM0/zeNEqrfE6tuCUKEMprnFJ9nq+fltrntYyrzURldTwozR28ohfwnOA0IRAKgH3tkmdZ6V2L5sr88b65f398+bm7e1jZz5guXvebP6+bTaPu9cr8wbHSD925j3R95ZQPfSv+gFVVxq31o2KsTe/x2hq6/Yte2vJ11EEwqktDUn2Er5+W4vWign8fXr9+/m60LOq/JVk75Wv39aqWyNUB6zX0WU+PfT3tfrG50v1ndLd1lz+5j5/332Y1659WujmN6Xx1V/zbdDN28FzwlSy31//1CadRfuIOPaAqdfQ40WrtMbr2IJTogyluMYl2ev5+m2t8lvlXGsiKqnhR2lcfh7hIQQuk4B721xmFGfz2rwRub7/an53cf/bXH8fb7bmxwa/zdsh83m6R1Mamx8cfHp8vN7ctz6aDjP0xfxQuCuNW+tGhdK4RXXa13BqS0OSvaav39aitWICrw83N4/VP+BU4kv5K8n209dva9WtEaoD1uvouqk+k3+9+bzbVd8SNT8KvjGF76Mpis3ro3ta6Oa/rfTN6PPBc+K2+thRY/Kvfb60j4gjD5hmDT1efM+XdWxEWpShFNe4JHslX7+tVX6rnGtNRCU1/CiNy88jPITAZRJwb5vLjOJ8Xv95MJ9eM3/FpymN3642t1+/mA9Emzco5vv7VWn8n/lsXPV6bH00HWbI/FC4eevyqXofZP2ZFPNDh6fK9rq14GsSgXBqS0OSvZSv39aiBYEyCSh/Jdme+vptrbo1QnXAeh1dN1VVXFe+dWn8frV5vtr82ZfGu/ZpUSvUN/+tqZvNPwC2+X3wnLit5tibtBYRD5imNNbjxfd8WcdGpEUZSnGNS7JX8vXbWrTiCYiopMaa0jieIpoQgMAYAu5tM8YW3ZrA2+3miyl1K5KmIn6rPkD3n/lu/7fqY9Q35t9Lrf/U9Ef3a4ymw/zq2d3mdndj3hYZnfo3kw/3ofqhw4f5Q0HwPYnAIdLhiaQhydb09dtatCBQJgHlryTbU1+/rVW3RqgOWK+jyymNTUW7rZ8MXfT100I3v/ldY/OnGM13Sw+eE01pbFtEP2D0ePE+X7qZEVwCoRTXuCR7Dl+/rUUrnoCISmqsKY3jKaIJAQiMIeDeNmNs0d29br/+/FH9IrF5d3N3/2a+cf/4w/xdlf/MD303N1fV7xrvHjbX3358udZfSLjfXH25r34ybH7F7MEom9K4sW55mtanu/pny20PXxMIhFNbGpLshXz9thYtCJRJQPkryfbU129r1a0RqgPW6+hyS2NTqerPTHRPC938t+b+Ny3zDNBz4qA07iziHzDd48X7fFnHTiRFGUpxjUuyF/L121q04gmIqKTGmtI4niKaEIDAGALubTPGFt3d2031S2TmH4L5ML9OvHndmX+S+MpUtv/t3s0/6fL90fxo2EiVyp35feT9692UzZtr85Pjf8b4c/UXqlvrVuOH+ZD29rlt8TWNQDi1pSHJXsvXb2vRgkCZBJS/kmxPff22Vt0aoTpgvY4utzTemW+Cdr+I3j0tdPObD1R/Mt9FNf+ktp4TB6VxZ9E+IsIPmO7x4n++rGMrUqIMpbjGJdnr+PptLVrxBERUUmNNaRxPEU0IQGAMAfe2GWOLriHw/nrwb7hUzeZv1VafnzYfiq5+acz8my//7D9gazqqflMcdx+zbtrt/zuFtoOv4wmEU1sakux1fP22Fi0IlElA+SvJ9tTXb2vVrRGqA9Yr7fpm/fv03dOivfmrMvjNFMbVq/ecqDo7i6phXhEPGD092lUaU/4fJBBKcY1Lsif19dtatOIJiKikxprS2KGojyY6AzQhAIFxBNzbZpw12j4CP7ePn7ebq/2bHp8W/TMSCKe2NCTZDvn6bS1aECiTgPJXku2pr9/WqlsjVAesV9n1+0v1R7iOvA5+QnxEa2CIB8wAlJO7QimucUn2or5+W4tWPAERldRYUxo7FF1AzjBNCEAglgCHKZbUOL0/d1eb60erMq4+V21e/nma8SMKflNG+gTCqS0NSfY8vn5bixYEyiSg/JVke+rrt7Xq1gjVAetVdn3ZHPyRiSEC99dfh7rDfQMPmLARGgECoRTXuCR7Sl+/rUUrnoCISmqse2+VXIX4RZahufb4l7GLRFEEAQ5Ttm14bl7+9YIKflNG+gTCqS0NSfY8vn5bixYEyiSg/JVke+rrt7Xq1gjVAWu6IFA8gVCKa1ySHZSv39aiFU9ARCU11pTGDkUXkDNMEwIQiCXAYYolhd6FEQintjQk2UH6+m0tWhAok4DyV5Ltqa/f1qpbI1QHrOmCQPEEQimucUl2UL5+W4tWPAERldRYUxo7FF1AzjBNCEAglgCHKZYUehdGIJza0pBkB+nrt7VoQaBMAspfSbanvn5bq26NUB2wpgsCxRMIpbjGJdlB+fptLVrxBERUUmNNaexQdAE5wzQhAIFYAhymWFLoXRiBcGpLQ5IdpK/f1qIFgTIJKH8l2Z76+m2tujVCdcCaLggUTyCU4hqXZAfl67e1aMUTEFFJjTWlsUPRBeQM04QABGIJcJhiSaF3YQTCqS0NSXaQvn5bixYEyiSg/JVke+rrt7Xq1gjVAWu6IFA8gVCKa1ySHZSv39aiFU9ARCU11pTGDkX+8SYHCE0IpBJwb5vUebCDQGEEwqktDUl2EL5+W4sWBMokoPyVZHvq67e16tYI1QFruiBQPIFQimtckh2Ur9/WohVPQEQlNdaUxvEU0YQABMYQcG+bMbboQqBgAuHUloYkOyBfv61FCwJlElD+SrI99fXbWnVrhOqANV0QKJ5AKMU1LskOytdva9GKJyCikhprSuN4imhCAAJjCLi3zRhbdCFQMIFwaktDkh2Qr9/WogWBMgkofyXZnvr6ba26NUJ1wJouCBRPIJTiGpdkB+Xrt7VoxRMQUUmNNaVxPEU0IQCBMQTc22aMLboQKJhAOLWlIckOyNdva9GCQJkElL+SbE99/bZW3RqhOmBNFwSKJxBKcY1LsoPy9dtatOIJiKikxprSOJ4imhCAwBgC7m0zxhZdCBRMIJza0pBkB+Trt7VoQaBMAspfSbanvn5bq26NUB2wpgsCxRMIpbjGJdlB+fptLVrxBERUUmNNaRxPEU0IQGAMAfe2GWOLLgQKJhBObWlIsgPy9dtatCBQJgHlryTbU1+/rVW3RqgOWNMFgeIJhFJc45LsoHz9thateAIiKqmxpjSOp4gmBCAwhoB724yxRRcCBRMIp7Y0JNkB+fptLVoQKJNAl78vNx4HOw3P+EH3CNUDK0QIXAyBUIprXJIdnK/f1qIVT6Aj2rvDKI0divzjTQ4QmhBIJdDdO6kTYAeBMgmEU1sakuxYfP22Fi0IlEmgzd+X2xePg62GZ/iwe4TqoRkyBC6FQCjFNS7Jjs3Xb2vRiifQEu3fYZTGDsUWldNNEwIQGEuAwzSWGPoXQiCc2tKQZAfn67e1aEGgTAL7/O2/q+zcHZHhI1S76REgcEEEQimucUl2eL5+W4tWPIE90YE7jNLYoUjyOUBoQiCVAIcplRx2hRMIp7Y0JNlB+fptLVoQKJNAk78D7yo7d0dk+AjVbnoECFwQgVCKa1ySHZ6v39aiFU+gITp0h1EaOxRJPgcITQikEuAwpZLDrnAC4dSWhiQ7KF+/rUULAmUSqPN36F1l5+6IDB+h2k2PAIELIhBKcY1LssPz9dtatOIJ1EQH7zBKY4ciyecAoQmBVAIcplRy2BVOIJza0pBkB+Xrt7VoQaBMAlX+Dr6r7NwdkeEjVLvpESBwQQRCKa5xSXZ4vn5bi1Y8gYro8B1GaexQJPkcIDQhkEqAw5RKDrvCCYRTWxqS7KB8/bYWLQiUScDk7/C7ys7dERk+QrWbHgECF0QglOIal2SH5+u3tWjFEzBEPXcYpbFDkeRzgNCEQCoBDlMqOewKJxBObWlIsoPy9dtatCBQJoGt711l5+6IDB+h2k2PAIELIhBKcY1LssPz9dtatOIJ+O8wSmOHIv94kwOEJgRSCXCTp5LDrnAC4dSWhiQ7KF+/rUULAmUS2Hp+3iJvR2T4CFXNjwSByyEQSnGNS7Kj8/XbWrTiCfjvMErjeIpoQgACYwhwk4+hhe4FEQintjQk2QH6+m0tWhAok8DW++8Zt/6OyPARqu3sfIXAJREIpbjGJdnx+fptLVrxBPx3GKVxPEU0IQCBMQS4ycfQQveCCIRTWxqS7AC3vCBwyQRe7Hzut3yZ39fcjVAdsKYLAsUTCKW4xiXZQV3yZVGo7947jNLYzj1aEIDAVAR8N/xU8zMPBM5EIJza0pB0JmdZFgJnITAi80eoniUUFoXAiQRCKa5xSScuiXkyAUrjZHQYQgACRwlwwx/Fw+DlEgintjQkXW68eA6B8QRGZP4I1fF+YAGB8xMIpbjGJZ3f67V6QGm81p0nbgjMTYAbfm7CzH8mAuHUloakMznLshA4C4ERmT9C9SyhsCgETiQQSnGNSzpxScyTCVAaJ6PDEAIQOEqAG/4oHgYvl0A4taUh6XLjxXMIjCcwIvNHqI73AwsInJ9AKMU1Lun8Xq/VA0pjZ+f5x5scIDQhkEqAGz6VHHaFEwintjQkFR4U7kFgUgIjMn+E6qQuMhkEMhEIpbjGJWVyjWV6BCiNHSQkpQOEJgRSCXCYUslhVziBcGpLQ1LhQeEeBCYlMCLzR6hO6iKTQSATgVCKa1xSJtdYpkeA0thBQlI6QGhCIJUAhymVHHaFEwintjQkFR4U7kFgUgIjMn+E6qQuMhkEMhEIpbjGJWVyjWV6BCiNHSQkpQOEJgRSCXCYUslhVziBcGpLQ1LhQeEeBCYlMCLzR6hO6iKTQSATgVCKa1xSJtdYpkeA0thBQlI6QGhCIJUAhymVHHaFEwintjQkFR4U7kFgUgIjMn+E6qQuMhkEMhEIpbjGJWVyjWV6BCiNHSQkpQOEJgRSCXCYUslhVziBcGpLQ1LhQeEeBCYlMCLzR6hO6iKTQSATgVCKa1xSJtdYpkeA0thBQlI6QGhCIJUAhymVHHaFEwintjQkFR4U7kFgUgIjMn+E6qQuMhkEMhEIpbjGJWVyjWV6BCiNHST8400OEJoQSCXADZ9KDrvCCYRTWxqSCg8K9yAwKYERmT9CdVIXmQwCmQiEUlzjkjK5xjI9ApTGPSR0QAACkxDghp8EI5OURyCc2tKQVF4ceASB+QiMyPwRqvP5y8wQmI9AKMU1Lmk+b5j5OAFK4+N8GIUABFIJcMOnksOucALh1JaGpMKDwj0ITEpgROaPUJ3URSaDQCYCoRTXuKRMrrFMjwClcQ8JHRCAwCQEuOEnwcgk5REIp7Y0JJUXBx5BYD4CIzJ/hOp8/jIzBOYjEEpxjUuazxtmPk6A0vg4H0YhAIFUAtzwqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAadxDQgcEIDAJAW74STAySXkEwqktDUnlxYFHEJiPwIjMH6E6n7/MDIH5CIRSXOOS5vOGmY8ToDQ+zodRCEAglQA3fCo57AonEE5taUgqPCjcg8CkBEZk/gjVSV1kMghkIhBKcY1LyuQay/QIUBo7SPjHmxwgNCGQSoAbPpUcdoUTCKe2NCQVHhTuQWBSAiMyf4TqpC4yGQQyEQiluMYlZXKNZXoEKI0dJCSlA4QmBFIJcJhSyWFXOIFwaktDUuFB4R4EJiUwIvNHqE7qIpNBIBOBUIprXFIm11imR4DS2EFCUjpAaEIglQCHKZUcdoUTCKe2NCQVHhTuQWBSAiMyf4TqpC4yGQQyEQiluMYlZXKNZXoEKI0dJCSlA4QmBFIJcJhSyWFXOIFwaktDUuFB4R4EJiUwIvNHqE7qIpNBIBOBUIprXFIm11imR4DS2EFCUjpAaEIglQCHKZUcdoUTCKe2NCQVHhTuQWBSAiMyf4TqpC4yGQQyEQiluMYlZXKNZXoEKI0dJCSlA4QmBFIJcJhSyWFXOIFwaktDUuFB4R4EJiUwIvNHqE7qIpNBIBOBUIprXFIm11imR4DS2EFCUjpAaEIglQCHKZUcdoUTCKe2NCQVHhTuQWBSAiMyf4TqpC4yGQQyEQiluMYlZXKNZXoEKI0dJPzjTQ4QmhBIJcANn0oOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMY9JHRAAAKTEOCGnwQjk5RHIJza0pBUXhx4BIH5CIzI/BGq8/nLzBCYj0AoxTUuaT5vmPk4AUrj43wYhQAEUglww6eSw65wAuHUloakwoPCPQhMSmBE5o9QndRFJoNAJgKhFNe4pEyusUyPAKVxDwkdEIDAJAS44SfByCTlEQintjQklRcHHkFgPgIjMn+E6nz+MjME5iMQSnGNS5rPG2Y+ToDS+DgfRiEAgVQC3PCp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp3ENCBwQgMAkBbvhJMDJJeQTCqS0NSeXFgUcQmI/AiMwfoTqfv8wMgfkIhFJc45Lm84aZjxOgND7Oh1EIQCCVADd8KjnsCicQTm1pSCo8KNyDwKQERmT+CNVJXWQyCGQiEEpxjUvK5BrL9AhQGjtI+MebHCA0IZBKgBs+lRx2hRMIp7Y0JBUeFO5BYFICIzJ/hOqkLjIZBDIRCKW4xiVlco1legQojR0kJKUDhCYEUglwmFLJYVc4gXBqS0NS4UHhHgQmJTAi80eoTuoik0EgE4FQimtcUibXWKZHgNLYQUJSOkBoQiCVAIcplRx2hRMIp7Y0JBUeFO5BYFICIzJ/hOqkLjIZBDIRCKW4xiVlco1legQojR0kJKUDhCYEUglwmFLJYVc4gXBqS0NS4UHhHgQmJTAi80eoTuoik0EgE4FQimtcUibXWKZHgNLYQUJSOkBoQiCVAIcplRx2hRMIp7Y0JBUeFO5BYFICRzP/39P7wWJHVQ/0ECFwoQRCKa5xSRca6gLcpjR2NpGkdIDQhEAqAQ5TKjnsCicQTm1pSCo8KNyDwKQEjmf+y+3np26546qdGgIELpVAKMU1LulSY718vymNnT0kKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgUDmv9xsb75/NCsGVCd1i8kgcAYCoRTXuKQzuMmSNQFKYycR+MebHCA0IZBKgBs+lRx2hRMIp7Y0JBUeFO5BYFICocx/ubnfbj+/VWuGVCf1i8kgkJ9AKMU1Lim/l6zYEKA0JhMgAIF5CHDDz8OVWc9OIJza0pB0drdxAAIZCQQz/+X2y3a7fXihNM64Kyx1HgKh06BxSefxlFV3O0pjsgACEJiHADf8PFyZ9ewEhlL7p3mXb15PjXNNY/tf867/W9M0req1b+01fzRjv5qxfWuv+bUZe27GPjctU0lUr8cjrb3mn0azqj/M63fTsn2xV9/HsP/wFK3tmkl8b/Lld5M9j03rb9N6aFqv1thec8/sqRn71mjuWw7PzzeV0s1ffmrcUOL/yyUw9Mw4jFbjkg7HkXMSoDTOSZu1ILAmAtzwa9rtVcUaTm1pSFoVIoJdPYFg5le/bXx3+9P8qeqg6uphAuDCCYRSXOOSLjzkC3af0viCNw/XIVA0AW74orcH59IJhFNbGpLS18MSApdHIJT5L6Ywvm8+HxFSvbzg8RgCFoFQimtckjUBjYwEKI0zwmYpCKyKADf8qrZ7TcGGU1saktZEiFghEMj8F/M3uPa/HMBPjcmWpRMInIaDIxDSXDqpEuKjNC5hF/ABAkskwA2/xF0lJkMgnNrSkAQ6CKyJwPHMf7n99q+jcVy1U0OAwKUSCKW4xiVdaqyX7zelsbOH+78S4fTShAAERhPghh+NDIPLIBBObWlIuozY8BIC0xA4mvn/nsyvGHevo6qdFgIELpZAKMU1Lulig714xymNnS0kKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMYOEpLSAUITAqkEOEyp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CAhKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMYOEpLSAUITAqkEOEyp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CAhKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMYOEpLSAUITAqkEOEyp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CDhH29ygNCEQCoBbvhUctgVTiCc2tKQVHhQuAeBSQmMyPwRqpO6yGQQyEQglOIal5TJNZbpEaA07iGhAwIQmIQAN/wkGJmkPALh1JaGpPLiwCMIzEdgROaPUJ3PX2aGwHwEQimucUnzecPMxwlQGh/nwygEIJBKgBs+lRx2hRMIp7Y0JBUeFO5BYFICIzJ/hOqkLjIZBDIRCKW4xiVlco1legQojXtI6IAABCYhwA0/CUYmKY9AOLWlIam8OPAIAvMRGJH5I1Tn85eZITAfgVCKa1zSfN4w83EClMbH+TAKAQikEuCGTyWHXeEEwqktDUmFB4V7EJiUwIjMH6E6qYtMBoFMBEIprnFJmVxjmR4BSuMeEjogAIFJCHDDT4KRScojEE5taUgqLw48gsB8BEZk/gjV+fxlZgjMRyCU4hqXNJ83zHycAKXxcT6MQgACqQS44VPJYVc4gXBqS0NS4UHhHgQmJTAi80eoTuoik0EgE4FQimtcUibXWKZHgNLYQcI/3uQAoQmBVALc8KnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsICEpHSA0IZBKgMOUSg67wgmEU1sakgoPCvcgMCmBEZk/QnVSF5kMApkIhFJc45IyucYyPQKUxg4SktIBQhMCqQQ4TKnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsICEpHSA0IZBKgMOUSg67wgmEU1sakgoPCvcgMCmBEZk/QnVSF5kMApkIhFJc45IyucYyPQKUxg4SktIBQhMCqQQ4TKnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsICEpHSA0IZBKgMOUSg67wgmEU1sakgoPCvcgMCmBEZk/QnVSF5kMApkIhFJc45IyucYyPQKUxg4SktIBQhMCqQQ4TKnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsIOEfb3KA0IRAKgFu+FRy2BVOIJza0pBUeFC4B4FJCYzI/BGqk7rIZBDIRCCU4hqXlMk1lukRoDTuIaEDAhCYhAA3/CQYmaQ8AuHUloak8uLAIwjMR2BE5o9Qnc9fZobAfARCKa5xSfN5w8zHCVAaH+fDKAQgkEqAGz6VHHaFEwintjQkFR4U7kFgUgIjMn+E6qQuMhkEMhEIpbjGJWVyjWV6BCiNe0jogAAEJiHADT8JRiYpj0A4taUhqbw48AgC8xEYkfkjVOfzl5khMB+BUIprXNJ83jDzcQKUxsf5MAoBCKQS4IZPJYdd4QTCqS0NSYUHhXsQmJTAiMwfoTqpi0wGgUwEQimucUmZXGOZHgFK4x4SOiAAgUkIcMNPgpFJyiMQTm1pSCovDjyCwHwERmT+CNX5/GVmCMxHIJTiGpc0nzfMfJwApfFxPoxCAAKpBLjhU8lhVziBcGpLQ1LhQeEeBCYlMCLzR6hO6iKTQSATgVCKa1xSJtdYpkeA0thBwj/e5AChCYFUAtzwqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewgISkdIDQhkEqAw5RKDrvCCYRTWxqSCg8K9yAwKYERmT9CdVIXmQwCmQiEUlzjkjK5xjI9ApTGDhKS0gFCEwKpBDhMqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewgISkdIDQhkEqAw5RKDrvCCYRTWxqSCg8K9yAwKYERmT9CdVIXmQwCmQiEUlzjkjK5xjI9ApTGDhKS0gFCEwKpBDhMqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewgISkdIDQhkEqAw5RKDrvCCYRTWxqSCg8K9yAwKYERmT9CdVIXmQwCmQiEUlzjkjK5xjI9ApTGDhKS0gFCEwKpBDhMqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewg4R9vcoDQhEAqAW74VHLYFU4gnNrSkFR4ULgHgUkJjMj8EaqTushkEMhEIJTiGpeUyTWW6RGgNO4hoQMCEJiEADf8JBiZpDwC4dSWhqTy4sAjCMxHYETmj1Cdz19mhsB8BEIprnFJ83nDzMcJUBof58MoBCCQSoAbPpUcdoUTCKe2NCQVHhTuQWBSAiMyf4TqpC4yGQQyEQiluMYlZXKNZXoEKI17SOiAAAQmIcANPwlGJimPQDi1pSGpvDjwCALzERiR+SNU5/OXmSEwH4FQimtc0nzeMPNxApTGx/kwCgEIpBLghk8lh13hBMKpLQ1JhQeFexCYlMCIzB+hOqmLTAaBTARCKa5xSZlcY5keAUrjHhI6IACBSQhww0+CkUnKIxBObWlIKi8OPILAfARGZP4I1fn8ZWYIzEcglOIalzSfN8x8nACl8XE+jEIAAqkEuOFTyWFXOIFwaktDUuFB4R4EJiUwIvNHqE7qIpNBIBOBUIprXFIm11imR4DS2EHCP97kAKEJgVQC3PCp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CAhKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMYOEpLSAUITAqkEOEyp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CAhKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMYOEpLSAUITAqkEOEyp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CAhKR0gNCGQSoDDlEoOu8IJhFNbGpIKDwr3IDApgRGZP0J1UheZDAKZCIRSXOOSMrnGMj0ClMYOEpLSAUITAqkEOEyp5LArnEA4taUhqfCgcA8CkxIYkfkjVCd1kckgkIlAKMU1LimTayzTI0Bp7CDhH29ygNCEQCoBbvhUctgVTiCc2tKQVHhQuAeBSQmMyPwRqpO6yGQQyEQglOIal5TJNZbpEaA07iGhAwIQmIQAN/wkGJmkPALh1JaGpPLiwCMIzEdgROaPUJ3PX2aGwHwEQimucUnzecPMxwlQGh/nwygEIJBKgBs+lRx2hRMIp7Y0JBUeFO5BYFICIzJ/hOqkLjIZBDIRCKW4xiVlco1legQojXtI6IAABCYhwA0/CUYmKY9AOLWlIam8OPAIAvMRGJH5I1Tn85eZITAfgVCKa1zSfN4w83EClMbH+TAKAQikEuCGTyWHXeEEwqktDUmFB4V7EJiUwIjMH6E6qYtMBoFMBEIprnFJmVxjmR4BSuMeEjogAIFJCHDDT4KRScojEE5taUgqLw48gsB8BEZk/gjV+fxlZgjMRyCU4hqXNJ83zHycAKXxcT6MQgACqQS44VPJYVc4gXBqS0NS4UHhHgQmJTAi80eoTuoik0EgE4FQimtcUibXWKZHgNLYQcI/3uQAoQmBVALc8KnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsICEpHSA0IZBKgMOUSg67wgmEU1sakgoPCvcgMCmBEZk/QnVSF5kMApkIhFJc45IyucYyPQKUxg4SktIBQhMCqQQ4TKnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsICEpHSA0IZBKgMOUSg67wgmEU1sakgoPCvcgMCmBEZk/QnVSF5kMApkIhFJc45IyucYyPQKUxg4SktIBQhMCqQQ4TKnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsICEpHSA0IZBKgMOUSg67wgmEU1sakgoPCvcgMCmBEZk/QnVSF5kMApkIhFJc45IyucYyPQKUxg4SktIBQhMCqQQ4TKnksCucQDi1pSGp8KBwDwKTEhiR+SNUJ3WRySCQiUAoxTUuKZNrLNMjQGnsIOEfb3KA0IRAKgFu+FRy2BVOIJza0pBUeFC4B4FJCYzI/BGqk7rIZBDIRCCU4hqXlMk1lukRoDTuIaEDAhCYhAA3/CQYmaQ8AuHUloak8uLAIwjMR2BE5o9Qnc9fZobAfARCKa5xSfN5w8zHCVAaH+fDKAQgkEqAGz6VHHaFEwintjQkFR4U7kFgUgIjMn+E6qQuMhkEMhEIpbjGJWVyjWV6BCiNe0jogAAEJiHADT8JRiYpj0A4taUhqbw48AgC8xEYkfkjVOfzl5khMB+BUIprXNJ83jDzcQKUxsf5MAoBCKQS4IZPJYdd4QTCqS0NSYUHhXsQmJTAiMwfoTqpi0wGgUwEQimucUmZXGOZHgFK4x4SOiAAgUkIcMNPgpFJyiMQTm1pSCovDjyCwHwERmT+CNX5/GVmCMxHIJTiGpc0nzfMfJwApfFxPoxCAAKpBLjhU8lhVziBcGpLQ1LhQeEeBCYlMCLzR6hO6iKTQSATgVCKa1xSJtdYpkeA0thBwj/e5AChCYFUAtzwqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewgISkdIDQhkEqAw5RKDrvCCYRTWxqSCg8K9yAwKYERmT9CdVIXmQwCmQiEUlzjkjK5xjI9ApTGDhKS0gFCEwKpBDhMqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewgISkdIDQhkEqAw5RKDrvCCYRTWxqSCg8K9yAwKYERmT9CdVIXmQwCmQiEUlzjkjK5xjI9ApTGDhKS0gFCEwKpBDhMqeSwK5xAOLWlIanwoHAPApMSGJH5I1QndZHJIJCJQCjFNS4pk2ss0yNAaewgISkdIDQhkEpg1GH6eDl8faSuiR0EMhAIp7Y0JGVwjCUgUAyBEZk/QrWY8C7EEZ6sZWxUKMU1LqkMz9foBaWxs+skpQOEJgRSCYw6TC/bw9dL6prYQSADgXBqS0NSBsdYAgLFEBiR+SNUiwnvQhzhyVrGRoVSXOOSyvB8jV5QGju7zj/e5AChCYFUAqNu+Jftrz/t69eW0jgVOnY5CIRTWxqScnjGGhAohcCIzB+hWkp0l+IHT9YydiqU4hqXVIbna/SC0niNu07MEMhBYNQN/7L989G+/lAa59gf1kgmEE5taUhKXg5DCFwggRGZP0L1AkGc1WWerGfF3y0eSnGNS+qMETIToDTODJzlILAaAqNueB7gq8mLBQQaTm1pSFpA4IQAgWgCIzJ/hGr08ijWBHiylpEIoRTXuKQyPF+jF5TGa9x1YoZADgJ3/0aswgN8BCxUz0vg311wfb29kRQ0QgECCyIwIvNHPSsWhChDKDxZM0AOL/H7MaCj0yIpYMLwbAQojWdDy8QQWDmBH19H/KFpHuArz5YLCv/j64+gt3p7IylohAIEFkRgROaPelYsCFGGUHiyZoAcXOL37WtAR6dFUsCE4dkIUBr30P5s/lDu/u9x0dpCYkcWJGfB4Z+dDsiHv2scUGUYAuck8KX32Oh16O2NpJ4SHRBYMIExmf/15pwHetlr82Q9//4+hirjnU6LpAVfDoWHRmlc+AbhHgTWQYDvba9jn9cSpd7eSFpL7MQJgYoAmV9CHvBkLWEXwj7otEgKW6ExDwFK43m4MisEIDCKAA/wUbhQLpyA3t5IKtxl3IPApATI/ElxJk7GkzURXGYznRZJmV1guY4ApXGHAgECEDgfAR7g52PPytMT0NsbSdOvwowQKJcAmV/C3vBkLWEXwj7otEgKW6ExDwFK43m4MisEIDCKAA/wUbhQLpyA3t5IKtxl3IPApATI/ElxJk7GkzURXGYznRZJmV1guY4ApXGHAgECEDgfgZftrz/t69f25XyOsDIEJiCgtzeSJpiWKSBwMQTI/BK2iidrCbsQ9kGnRVLYCo15CFAaz8OVWSEAgVEEXqw/IklpPAoeysUR0NsbScU5iUMQmJEAmT8j3OipebJGozqrok6LpLM6tOrFKY1Xvf0ED4FSCHy8HL5G/IPIpQSAHxA4IKC3N5IOhhEhsHgCZH4JW8yTtYRdCPug0yIpbIXGPAQojefhyqwQWDuBv79/B/8pv47Rz/86EQECCyCgtzeSFhAWIUAgmgCZH41qjCJP1jG0LkZXp0XSxTi/OEcpjRe3pQQEgRIIfLm6vd08+j35+vNw7NPXw1ZItm07bU93N44AgWwE9PZGUrbFWQgCBRAg8+fYBJ6sc1A9/5w6LZLO79VaPaA0XuvOEzcEZiXwZmb/u3nyrmEXw3bLa7Qf8Gh7ukOzMQ6B6Qno7Y2k6VdhRgiUS4DMn2NveLLOQfX8c+q0SDq/V2v1gNJ4rTtP3BCYhcDr57v7L9XTu3ptfzRfq/8/f7p9+LV7McPf3ne7X9ubx8e3trWrq9qnh9vP/4zmz7v7/349ybLt//Zs+sxAY/vjv19395WW3S0zJAicj4De3kg6nzesDIH8BMj8KZnzZJ2SZnlz6bRIKs/LtXhEabyWnSZOCGQhcP31z/P3qsDd7d5/Xem3jZ823//892338+ef5/t78wPlu0+/f3+0rbo0/nX18/nT9fvu+/XT86ftl87btn93W30G+/HL3vZh+/j8c2N+R9nu7swQIHBGAnp7I+mM7rA0BLITIPOnRM6TdUqa5c2l0yKpPC/X4hGl8Vp2mjghkIPAv037E+PXzebqt5a81g+Q3zemYu4+/dy1rqvKd/t9d/W0231cqzRu+7sauLF9uDHq325VGmtKrYoEgfMQ0NsbSefxhFUhcB4CZP6E3HmyTgizxKl0WiSV6Oc6fKI0Xsc+EyUEMhG4vfn2p1nq7fX7Zi/udq9VOWxe798fzJ/nMp+Mrkvjw9a/WuPLp9dN9TPnT11p3Pa7NfBDpfFn8+FUzNUivCBwbgJ6eyPp3D6xPgRyEiDzp6TNk3VKmuXNpdMiqTwv1+IRpfFadpo4IZCFwMfT49VN84FqU+B+atf8Wxe8u93dpz+vrxvz0+S6ND5sNSXx1we3NG77e6Vx9UetXzbvlMYtY74WREBvbyQV5B6uQGB2AmT+lIh5sk5Js7y5dFokleflWjyiNF7LThMnBHIR+Lj9tl/q00O75ntVDu92b1WF/K8tja3WR/Wz5N39l49aU79r3Pabse9G4c78sLguqx+quZ+u3G7TyQsCZyegtzeSzu4UDkAgIwEyf2LYPFknBlrSdDotkkryb12+UBqva7+JFgLzEngzH6F+vzG/Nfzr3+7jafOrW+3zjflE9cuH6fl4qIrfr/fvH2pVxe7n27fdf5u/uy83L29fr7oPVHf9u28377unjRmobHfVLG83pgi3u7sFESBwRgJ6eyPpjO6wNASyEyDzJ0TOk3VCmCVOpdMiqUQ/1+ETpfE69pkoIZCHwOv1Zrt5/DA/y91sNgd/emv38bi53nza/dpsr35Wf57r3/3V5rVrVaXx+/3m+soU1R+fr66/PbY/eFb/7v12c/Vo/kJ1Y/vw5e5682BWsrvzhMkqEDhOQG9vJB23YBQCyyJA5k+4nzxZJ4RZ4lQ6LZJK9HMdPlEar2OfiRICuQi8vZp/tti83l/f7CWbjo9XU812L7v1prEb/bzZfAy77f93MOXDt92//e80H3Z3UyNA4IwE9PZG0hndYWkIZCdA5k+KnCfrpDhLm0ynRVJpPq7HH0rj9ew1kULgIgj8fXr9+/n6sIAedNuUxrwgUCoBvb2RVKqv+AWBOQiQ+XNQTZ+TJ2s6u/ktdVokzb8qKwwToDQe5kIvBCAwBYG3x+Z18OPe0LSvDzc3j/92IcvHH6GJGIfA2Qjo7Y2ksznDwhA4AwEyf0booefjwNI8WQegFNOl0yKpGOdW5wil8eq2nIAhkJHAx3PzCv4QuOdTumVvKjogkJuA3t5Iyu0D60HgnATI/Bnppz8f0y1nDIepdVokQeVcBCiNz0WedSEAAQhAYKEE9PZG0kJDJSwIDBIg8wex0AmBAQI6LZIG1OjKQoDSOAtmFoEABCAAgfUQ0NsbSeuJnkghsNuR+WQBBGIJ6LRIirVFb2oClMZTE2U+CEAAAhBYOQG9vZG0ciSEvzICZP7KNpxwTyCg0yLphOkwPYkApfFJ+DCGAAQgAAEIuAT09kaSq0MbAksmQOYveXeJbVoCOi2Spl2B2eIJUBrHs0ITAhCAAAQgEEFAb28kRZihAoHFECDzF7OVBDI7AZ0WSbMvygIeApTGHjB0QwACEIAABNII6O2NpLSZsILAZRIg8y9z3/D6HAR0WiSdww/WrAhQGpMHEIAABCAAgUkJ6O2NpEkXYDIIFE6AzC98g3CvIAI6LZIKcm9lrlAar2zDCRcCEIAABOYmoLc3kuZek/khUBIBMr+k3cCXsgnotEgq2+Mle0dpvOTdJTYIQAACEDgDAb29kXQGN1gSAmcjQOafDT0LXxwBnRZJFxfEYhymNF7MVhIIBCAAAQiUQUBvbySV4RleQCAPATI/D2dWWQIBnRZJS4jrMmOgNL7MfcNrCEAAAhAoloDe3kgq1lkcg8AMBMj8GaAy5UIJ6LRIWmioFxAWpfEFbBIuQgACEIDAJRHQ2xtJl+Q/vkLgVAJk/qkEsV8PAZ0WSeuJvrRIKY1L2xH8gQAEIACBCyegtzeSLjwk3IfAKAJk/ihcKK+agE6LpFUDOWvwlMZnxc/iEIAABCCwPAJ6eyNpeVESEQT8BMh8PxtGIGAT0GmRZGvQykeA0jgfa1aCAAQgAIFVENDbG0mrCJwgIbAnQOaTChCIJaDTIinWFr2pCVAaT02U+SAAAQhAYOUE9PZG0sqREP7KCJD5K9twwj2BgE6LpBOmw/QkApTGJ+HDGAIQgAAEIOAS0NsbSa4ObQgsmQCZv+TdJbZpCei0SJp2BWaLJ0BpHM8KTQhAAAIQgEAEge7tzctNhDYqEFgege4MLC80IoLAxAS608ITY2KyKdNRGqdQwwYCEIAABCDgJdC+0Xm5ffHqMACBJRNoz8CSYyQ2CExDoD0tPDGm4XnaLJTGp/HDGgIQgAAEIOAQ2L/R4X2Ow4Xmegi0b/bXEzGRQiCVAE+MVHJz2FEaz0GVOSEAAQhAYMUEmjc6VMYrToHVh05pvPoUAEA0AZ4Y0agyKFIaZ4DMEhCAAAQgsCYC9RsdKuM1bTmxOgQojR0gNCHgJcATw4vmDAOUxmeAzpIQgAAEILBkAtUbHSrjJe8wsYUIUBqHCDEOgZYAT4yWRAlfKY1L2AV8gAAEIACBBREwb3SojBe0n4QyngCl8XhmWKyVAE+Mknae0rik3cAXCEAAAhBYAIEtlfECdpEQTiFAaXwKPWzXRYAnRkn7TWlc0m7gCwQgAAEILIDAlp8ZL2AXCeEUApTGp9DDdl0EeGKUtN+UxiXtBr5AAAIQgMACCGz594wXsIuEcAoBSuNT6GG7LgI8MUra735pvOUFAQhAAAIQgMAJBF5KetDjCwTyEzjh9GAKgbUR4ImR/4ryrtgrjb2aDEAAAhCAAAQgAAEIQAACEIAABBZJgNJ4kdtKUBCAAAQgAAEIQAACEIAABCAQT4DSOJ4VmhCAAAQgAAEIQAACEIAABCCwSAKUxovcVoKCAAQgAAEIQAACEIAABCAAgXgClMbxrNCEAAQgAAEIQAACEIAABCAAgUUSoDRe5LYSFAQgAAEIQAACEIAABCAAAQjEE6A0jmeFJgQgAAEIQAACEIAABCAAAQgskgCl8SK3laAgAAEIQAACEIAABCAAAQhAIJ4ApXE8KzQhAAEIQAACEIAABCAAAQhAYJEEKI0Xua0EBQEIQAACEIAABCAAAQhAAALxBCiN41mhCQEIQAACEIAABCAAAQhAAAKLJEBpvMhtJSgIQAACEIAABCAAAQhAAAIQiCdAaRzPCk0IQAACEIAABCAAAQhAAAIQWCQBSuNFbitBQQACEIAABCAAAQhAAAIQgEA8AUrjeFZoQgACEIAABCAAAQhAAAIQgMAiCfwPYkDyCN31kDoAAAAASUVORK5CYII=", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -678,7 +355,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -817,7 +494,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "9606bd15", "metadata": {}, "outputs": [ @@ -829,7 +506,22 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"bands\": [\"green\", \"nir08\"], \"item_1\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}, \"item_2\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\"}}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"bands\": [\n", + " \"green\",\n", + " \"nir08\"\n", + " ],\n", + " \"item_1\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " },\n", + " \"item_2\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\"\n", + " }\n", + "}\n", "```\n" ], "text/plain": [ @@ -881,32 +573,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "5441a37d", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"water_bodies\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-x0d2i0/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -955,7 +646,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -969,7 +660,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-8.ipynb b/docs/pattern-8.ipynb index f52d5cf..17ab4b9 100644 --- a/docs/pattern-8.ipynb +++ b/docs/pattern-8.ipynb @@ -41,16 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:51:45.598\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-8.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.599\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-8.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.622\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.623\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.630\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.642\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.643\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-8...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.644\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.644\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:45.645\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-8.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:37:24.723\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-8.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:24.724\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-8.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:24.734\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:24.735\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:24.735\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:24.736\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.031\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.032\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.032\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-8.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.032\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-8.cwl - uri: ../cwl-workflow/pattern-8.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:25.033\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-8.cwl successfully load!\u001b[0m\n" ] } ], @@ -82,116 +88,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-8/aoi\n", - "\n", - "pattern-8/aoi\n", - "\n", - "\n", - "\n", - "pattern-8/step\n", - "\n", - "pattern-8/step\n", - "\n", - "\n", - "\n", - "pattern-8/aoi->pattern-8/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-8/bands\n", - "\n", - "pattern-8/bands\n", - "\n", - "\n", - "\n", - "pattern-8/bands->pattern-8/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-8/epsg\n", - "\n", - "pattern-8/epsg\n", - "\n", - "\n", - "\n", - "pattern-8/epsg->pattern-8/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-8/item\n", - "\n", - "pattern-8/item\n", - "\n", - "\n", - "\n", - "pattern-8/item->pattern-8/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-8/produce_output\n", - "\n", - "pattern-8/produce_output\n", - "\n", - "\n", - "\n", - "pattern-8/produce_output->pattern-8/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-8/water_bodies\n", - "\n", - "pattern-8/water_bodies\n", - "\n", - "\n", - "\n", - "pattern-8/step->pattern-8/water_bodies\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -319,58 +222,73 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:51:46.944\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:47.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:47.208\u001b[0m | \u001b[34m\u001b[1mDEBUG 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Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.250\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.251\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.251\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.252\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.252\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.253\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.253\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.254\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.255\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.255\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.256\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.256\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-8 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.257\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-8/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.257\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-8/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.258\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-8/bands: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.259\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-8/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.259\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.259\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.260\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.260\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.261\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-8/produce_output: boolean\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.262\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-8 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.262\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-8/water_bodies: [ null, Directory ]\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.262\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.263\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting [ null, Directory ] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.263\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m [ null, Directory ] converted to [ null, https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI ]\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.264\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Nullable detected, 'when' required for stac_catalog:app/water_bodies\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.265\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:51:51.265\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0098 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:37:26.919\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:26.970\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:26.973\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:26.973\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:26.974\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:26.974\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.390\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.391\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.392\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.392\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.392\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.392\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.392\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.393\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.393\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.442\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.446\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.446\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.447\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.447\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.860\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.860\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.861\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.861\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.861\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.861\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.862\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.862\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.862\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.909\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.916\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:27.917\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.377\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.378\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.379\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.379\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.379\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.379\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.379\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.380\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.380\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.380\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.380\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.380\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.381\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.381\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.381\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.381\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-8 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.382\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-8/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.382\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-8/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.382\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-8/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.382\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-8/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.382\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.383\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.383\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.383\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.384\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-8/produce_output: boolean\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.384\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-8 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.384\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-8/water_bodies: [ null, Directory ]\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.384\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.384\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting [ null, Directory ] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.385\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m [ null, Directory ] converted to [ null, https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI ]\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.385\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m306\u001b[0m - \u001b[1m Nullable detected, 'when' required for stac_catalog:app/water_bodies\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.385\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:37:28.386\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0047 seconds\u001b[0m\n" ] } ], @@ -392,224 +310,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - 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"main/produce_output->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item\n", - "\n", - "main/item\n", - "\n", - "\n", - "\n", - "main/item->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -623,7 +330,7 @@ "id": "2835bc21", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -634,9 +341,9 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -644,7 +351,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -782,7 +489,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "0b808271", "metadata": {}, "outputs": [ @@ -794,7 +501,19 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"bands\": [\"green\", \"nir08\"], \"item\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}, \"produce_output\": true}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"bands\": [\n", + " \"green\",\n", + " \"nir08\"\n", + " ],\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " },\n", + " \"produce_output\": true\n", + "}\n", "```\n" ], "text/plain": [ @@ -844,32 +563,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "27d4338a", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"water_bodies\": {\n", - " \"value\": \"s3://my-bucket/my/sub/path-9y6ls3/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -918,7 +636,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -932,7 +650,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, diff --git a/docs/pattern-9.ipynb b/docs/pattern-9.ipynb index f0bcdd2..e5d3a97 100644 --- a/docs/pattern-9.ipynb +++ b/docs/pattern-9.ipynb @@ -41,22 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:52:33.852\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-9.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.853\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-9.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:52:33.877\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.878\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.885\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.899\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.900\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning Workflow pattern-9...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.901\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool clt...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.901\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:33.902\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-9.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 10:38:05.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-9.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:05.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-9.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:05.704\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:05.704\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:05.704\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:05.704\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-9.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-9.cwl - uri: ../cwl-workflow/pattern-9.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.150\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.151\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.151\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.151\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:06.151\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-9.cwl successfully load!\u001b[0m\n" ] } ], @@ -87,104 +87,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "pattern-9/aoi\n", - "\n", - "pattern-9/aoi\n", - "\n", - "\n", - "\n", - "pattern-9/step\n", - "\n", - "pattern-9/step\n", - "\n", - "\n", - "\n", - "pattern-9/aoi->pattern-9/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-9/epsg\n", - "\n", - "pattern-9/epsg\n", - "\n", - "\n", - "\n", - "pattern-9/epsg->pattern-9/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-9/item\n", - "\n", - "pattern-9/item\n", - "\n", - "\n", - "\n", - "pattern-9/item->pattern-9/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-9/indexes\n", - "\n", - "pattern-9/indexes\n", - "\n", - "\n", - "\n", - "pattern-9/indexes->pattern-9/step\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "pattern-9/vegetation_indexes\n", - "\n", - "pattern-9/vegetation_indexes\n", - "\n", - "\n", - "\n", - "pattern-9/step->pattern-9/vegetation_indexes\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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"text/plain": [ - "" + "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -311,64 +220,73 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-09-05 14:52:34.868\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-09-05 14:52:34.925\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:34.936\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:34.937\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:34.938\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! 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Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.877\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-directory...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.877\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.878\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.879\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.931\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.938\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.938\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:35.939\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.739\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.740\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-asthonishing-stage-in-file...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.741\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.741\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.741\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m196\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.793\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m199\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.801\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m173\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.802\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m124\u001b[0m - \u001b[34m\u001b[1mUpdating the model of type 'CommentedMap' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:36.803\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m135\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now converting to the CWL model...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.845\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m143\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2! Now dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.845\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_clean_process\u001b[0m:\u001b[36m66\u001b[0m - \u001b[34m\u001b[1m Cleaning CommandLineTool my-super-stage-out...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.846\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m151\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.846\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m207\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.847\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.847\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.847\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m273\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.847\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m331\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m353\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m90\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.849\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m119\u001b[0m - \u001b[1mAnalyzing pattern-9 inputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.849\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-9/aoi: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.850\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-9/epsg: string\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.850\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-9/indexes: string[]\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.851\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m135\u001b[0m - \u001b[1m* pattern-9/item: Directory\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.851\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m148\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.852\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m150\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.852\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m154\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.854\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m195\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.854\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m246\u001b[0m - \u001b[1mAnalyzing pattern-9 outputs...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.855\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m252\u001b[0m - \u001b[1m* pattern-9/vegetation_indexes: [ null, Directory[] ]\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.855\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.855\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m259\u001b[0m - \u001b[1m Converting [ null, Directory[] ] to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.856\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m [ null, Directory[] ] converted to [ null, https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[] ]\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.858\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m284\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/vegetation_indexes\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.859\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Nullable detected, 'when' required for stac_catalog:app/vegetation_indexes\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.859\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m304\u001b[0m - \u001b[1m Connecting 'app/vegetation_indexes' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-09-05 14:52:37.860\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m379\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0112 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 10:38:07.601\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:07.655\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:07.658\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:07.659\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:07.659\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:07.659\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.094\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.095\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.095\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.096\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.096\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.096\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.097\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.097\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.097\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.149\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.153\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.153\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.154\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.154\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.520\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.520\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.521\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.521\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.521\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.521\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.522\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.522\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.522\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.643\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.649\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.649\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.650\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:08.650\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.090\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.090\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.090\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.090\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.091\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.091\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.091\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.091\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.092\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-9 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-9/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-9/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-9/indexes: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-9/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.093\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-9 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.094\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-9/vegetation_indexes: [ null, Directory[] ]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.095\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.095\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting [ null, Directory[] ] to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.096\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m [ null, Directory[] ] converted to [ null, https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI[] ]\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.096\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m295\u001b[0m - \u001b[1m Array detected, scatter required for stac_catalog:app/vegetation_indexes\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.096\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m306\u001b[0m - \u001b[1m Nullable detected, 'when' required for stac_catalog:app/vegetation_indexes\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.097\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/vegetation_indexes' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 10:38:09.097\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0049 seconds\u001b[0m\n" ] } ], @@ -390,212 +308,13 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "G\n", - "\n", - "\n", - "cluster_inputs\n", - "\n", - "Workflow Inputs\n", - "\n", - "\n", - "cluster_outputs\n", - "\n", - "Workflow Outputs\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "main/app\n", - "\n", - "NDVI and NDWI vegetation indexes\n", - "\n", - "\n", - "\n", - "main/directory_stage_in_0->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/stage_out_0\n", - "\n", - "main/stage_out_0\n", - "\n", - "\n", - "\n", - "main/app->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/vegetation_indexes\n", - "\n", - "main/vegetation_indexes\n", - "\n", - "\n", - "\n", - "main/stage_out_0->main/vegetation_indexes\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aoi\n", - "\n", - "main/aoi\n", - "\n", - "\n", - "\n", - "main/aoi->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/epsg\n", - "\n", - "main/epsg\n", - "\n", - "\n", - "\n", - "main/epsg->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/indexes\n", - "\n", - "main/indexes\n", - "\n", - "\n", - "\n", - "main/indexes->main/app\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/another_input\n", - "\n", - "main/another_input\n", - "\n", - "\n", - "\n", - "main/another_input->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/item\n", - "\n", - "main/item\n", - "\n", - "\n", - "\n", - "main/item->main/directory_stage_in_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "main/aws_access_key_id\n", - "\n", - "\n", - "\n", - "main/aws_access_key_id->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "main/aws_secret_access_key\n", - "\n", - "\n", - "\n", - "main/aws_secret_access_key->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/endpoint_url\n", - "\n", - "main/endpoint_url\n", - "\n", - "\n", - "\n", - "main/endpoint_url->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/region_name\n", - "\n", - "main/region_name\n", - "\n", - "\n", - "\n", - "main/region_name->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/s3_bucket\n", - "\n", - "main/s3_bucket\n", - "\n", - "\n", - "\n", - "main/s3_bucket->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "main/sub_path\n", - "\n", - "main/sub_path\n", - "\n", - "\n", - "\n", - "main/sub_path->main/stage_out_0\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], + "image/png": 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", "text/plain": [ - "" + "" ] }, - "execution_count": 8, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ @@ -609,7 +328,7 @@ "id": "ac0ccc89", "metadata": {}, "source": [ - "### Workflow components diagram" + "### Workflow sequence diagram" ] }, { @@ -620,9 +339,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -630,7 +349,7 @@ } ], "source": [ - "wf.display_components_diagram()" + "wf.display_sequence_diagram()" ] }, { @@ -767,7 +486,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "dd06f5bd", "metadata": {}, "outputs": [ @@ -779,7 +498,18 @@ "### Inputs\n", "\n", "```json\n", - "{\"aoi\": \"-118.985,38.432,-118.183,38.938\", \"epsg\": \"EPSG:4326\", \"indexes\": [\"ndvi\", \"none\"], \"item\": {\"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\", \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"}}\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"indexes\": [\n", + " \"ndvi\",\n", + " \"none\"\n", + " ],\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " }\n", + "}\n", "```\n" ], "text/plain": [ @@ -827,35 +557,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "a428fe15", "metadata": {}, "outputs": [ { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Outputs\n", - "\n", - "```json\n", - "{\n", - " \"vegetation_indexes\": [\n", - " {\n", - " \"value\": \"s3://my-bucket/my/sub/path-ubbsam/catalog.json\",\n", - " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", - " },\n", - " null\n", - " ]\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", + "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", + "\u001b[31mKeyboardInterrupt\u001b[39m: " + ] } ], "source": [ @@ -904,7 +630,7 @@ ], "metadata": { "kernelspec": { - "display_name": "patterns (3.13.1)", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -918,7 +644,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.13.8" } }, "nbformat": 4, From 5d3baa88fb11d3adac28f33f330a3f13da8ae662 Mon Sep 17 00:00:00 2001 From: stripodi Date: Wed, 3 Dec 2025 11:31:27 +0100 Subject: [PATCH 10/15] fix: refuse with wrong image --- templates/stage-in-file.cwl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/templates/stage-in-file.cwl b/templates/stage-in-file.cwl index 7e56706..dc3deb5 100644 --- a/templates/stage-in-file.cwl +++ b/templates/stage-in-file.cwl @@ -30,7 +30,7 @@ requirements: types: - $import: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml DockerRequirement: - dockerPull: ghcr.io/eoap/application-package-patterns/vegetation-indexes:0.1.1 + dockerPull: ghcr.io/eoap/application-package-patterns/runner:0.2.0 InlineJavascriptRequirement: {} InitialWorkDirRequirement: listing: From 9f900247065aaf4f212f12d17a03ce45dd5b797d Mon Sep 17 00:00:00 2001 From: stripodi Date: Wed, 3 Dec 2025 11:32:00 +0100 Subject: [PATCH 11/15] feat: pattern-11 re-executed --- docs/pattern-11.ipynb | 222 +++++++++++++++++++++--------------------- 1 file changed, 112 insertions(+), 110 deletions(-) diff --git a/docs/pattern-11.ipynb b/docs/pattern-11.ipynb index 0c6e928..ae57668 100644 --- a/docs/pattern-11.ipynb +++ b/docs/pattern-11.ipynb @@ -41,22 +41,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-12-03 10:39:48.692\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.693\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.705\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.705\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.706\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.706\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.960\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.960\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.961\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-11.cwl#clt must be externally imported...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.961\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-11.cwl - uri: ../cwl-workflow/pattern-11.cwl\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.961\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:48.962\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-11.cwl successfully load!\u001b[0m\n" + "\u001b[32m2025-12-03 11:29:09.878\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:09.879\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-11.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:09.891\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:09.891\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:09.891\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:09.892\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.451\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.452\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.452\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-11.cwl#clt must be externally imported...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.452\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-11.cwl - uri: ../cwl-workflow/pattern-11.cwl\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:10.453\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-11.cwl successfully load!\u001b[0m\n" ] } ], @@ -216,76 +216,76 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-12-03 10:39:49.950\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.012\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.016\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.016\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.016\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.017\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.549\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.550\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.550\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.551\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.552\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.552\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.603\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:50.606\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.087\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.088\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.089\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.193\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.199\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.199\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.200\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.673\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.674\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.675\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.675\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.676\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.676\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.676\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.677\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-11 inputs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/aoi: string\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.679\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/epsg: string\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.679\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/bands: string[]\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.679\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/item: Directory\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.680\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.680\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.680\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/dem: File\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m File type detected, creating a related 'file_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting File to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.681\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m File converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/dem' to 'file_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-11 outputs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-11/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.682\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-12-03 10:39:51.683\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0056 seconds\u001b[0m\n" + "\u001b[32m2025-12-03 11:29:11.287\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:11.532\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:11.536\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:11.536\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:11.536\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:11.537\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.133\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.133\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.134\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.134\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.134\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.134\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.134\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.135\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.135\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.351\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.355\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.356\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.356\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.356\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.786\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.787\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.788\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.788\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-in-file.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:12.788\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.067\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.072\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.072\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.072\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.072\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.524\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.525\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.525\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.525\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.526\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.527\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.527\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.527\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.527\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.527\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.528\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.528\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.528\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-11 inputs...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.529\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/aoi: string\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.529\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/epsg: string\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.529\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/bands: string[]\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.530\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/item: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.530\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.530\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.531\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.531\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.531\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-11/dem: File\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.532\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m File type detected, creating a related 'file_stage_in_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.532\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting File to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.532\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m File converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.534\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/dem' to 'file_stage_in_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.534\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-11 outputs...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.534\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-11/water_bodies: Directory\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.535\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.535\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.535\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.536\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", + "\u001b[32m2025-12-03 11:29:13.536\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0080 seconds\u001b[0m\n" ] } ], @@ -307,7 +307,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "" ] @@ -338,9 +338,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -415,8 +415,8 @@ "text/markdown": [ "| Id | Runs | Label | Doc |\n", "| --- | --- | --- | --- |\n", - "| `file_stage_in_0` | `#my-asthonishing-stage-in-file` | None | None |\n", "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", + "| `file_stage_in_0` | `#my-asthonishing-stage-in-file` | None | None |\n", "| `app` | `#pattern-11` | None | None |\n", "| `stage_out_0` | `#my-super-stage-out` | None | None |\n" ], @@ -572,26 +572,28 @@ "metadata": {}, "outputs": [ { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[15]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", - "\u001b[31mKeyboardInterrupt\u001b[39m: " - ] + "data": { + "text/markdown": [ + "\n", + "\n", + "### Outputs\n", + "\n", + "```json\n", + "{\n", + " \"water_bodies\": {\n", + " \"value\": \"s3://my-bucket/my/sub/path-j6j46y/catalog.json\",\n", + " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", + " }\n", + "}\n", + "```\n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ From bdabd83be44b4eaf15971d615a69eedd9364133a Mon Sep 17 00:00:00 2001 From: stripodi Date: Wed, 3 Dec 2025 12:38:34 +0100 Subject: [PATCH 12/15] feat: suppress useless logging --- docs/helpers.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/helpers.py b/docs/helpers.py index 4600b6e..9c26cd6 100644 --- a/docs/helpers.py +++ b/docs/helpers.py @@ -1,4 +1,3 @@ -import graphviz from cwl2puml import to_puml, DiagramType from cwltool.main import main as cwlmain from cwltool.context import LoadingContext, RuntimeContext @@ -12,8 +11,9 @@ from PIL import Image from plantuml import deflate_and_encode from urllib.request import urlopen -import cwl_utils +from loguru import logger +logger.remove() class WorkflowViewer: def __init__(self, cwl_file, workflow, entrypoint): From 26639591c22967111c64f6a6e5dbefadce742dc6 Mon Sep 17 00:00:00 2001 From: Fabrice Brito Date: Wed, 7 Jan 2026 16:21:25 +0100 Subject: [PATCH 13/15] adds explicit input files and WIP on diagram rifactoring --- cwl-workflow/pattern-1-inputs.json | 9 + cwl-workflow/pattern-10-inputs.json | 15 ++ cwl-workflow/pattern-10.cwl | 4 + cwl-workflow/pattern-11-inputs.json | 13 + cwl-workflow/pattern-11.cwl | 2 + cwl-workflow/pattern-12-inputs.json | 24 ++ cwl-workflow/pattern-12.cwl | 6 + cwl-workflow/pattern-2-inputs.json | 13 + cwl-workflow/pattern-2.cwl | 2 + cwl-workflow/pattern-3-inputs.json | 15 ++ cwl-workflow/pattern-3.cwl | 2 + cwl-workflow/pattern-4-inputs.json | 8 + cwl-workflow/pattern-4.cwl | 2 + cwl-workflow/pattern-5-inputs.json | 9 + cwl-workflow/pattern-5.cwl | 2 + cwl-workflow/pattern-6-inputs.json | 8 + cwl-workflow/pattern-6.cwl | 2 + cwl-workflow/pattern-7-inputs.json | 13 + cwl-workflow/pattern-7.cwl | 2 + cwl-workflow/pattern-8-inputs.json | 10 + cwl-workflow/pattern-8.cwl | 2 + cwl-workflow/pattern-9-inputs.json | 9 + cwl-workflow/pattern-9.cwl | 2 + docs/helpers.py | 17 +- docs/pattern-1.ipynb | 323 ++++++++++++------------- docs/pattern-10.ipynb | 52 ++-- docs/pattern-11.ipynb | 50 ++-- docs/pattern-12.ipynb | 62 ++--- docs/pattern-2.ipynb | 154 +++--------- docs/pattern-3.ipynb | 81 +++---- docs/pattern-4.ipynb | 359 +++++++++++++++++++++++----- docs/pattern-5.ipynb | 80 ++----- docs/pattern-6.ipynb | 45 ++-- docs/pattern-7.ipynb | 88 ++----- docs/pattern-8.ipynb | 45 ++-- docs/pattern-9.ipynb | 46 ++-- templates/stage-in-file.cwl | 5 +- templates/stage-in.cwl | 5 +- templates/stage-out.cwl | 14 +- 39 files changed, 858 insertions(+), 742 deletions(-) create mode 100644 cwl-workflow/pattern-1-inputs.json create mode 100644 cwl-workflow/pattern-10-inputs.json create mode 100644 cwl-workflow/pattern-11-inputs.json create mode 100644 cwl-workflow/pattern-12-inputs.json create mode 100644 cwl-workflow/pattern-2-inputs.json create mode 100644 cwl-workflow/pattern-3-inputs.json create mode 100644 cwl-workflow/pattern-4-inputs.json create mode 100644 cwl-workflow/pattern-5-inputs.json create mode 100644 cwl-workflow/pattern-6-inputs.json create mode 100644 cwl-workflow/pattern-7-inputs.json create mode 100644 cwl-workflow/pattern-8-inputs.json create mode 100644 cwl-workflow/pattern-9-inputs.json diff --git a/cwl-workflow/pattern-1-inputs.json b/cwl-workflow/pattern-1-inputs.json new file mode 100644 index 0000000..d6818d1 --- /dev/null +++ b/cwl-workflow/pattern-1-inputs.json @@ -0,0 +1,9 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "bands": ["green", "nir08"], + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-10-inputs.json b/cwl-workflow/pattern-10-inputs.json new file mode 100644 index 0000000..43ad316 --- /dev/null +++ b/cwl-workflow/pattern-10-inputs.json @@ -0,0 +1,15 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "indexes": ["ndvi", "ndwi"], + "items": [ + { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1" + } + ] +} \ No newline at end of file diff --git a/cwl-workflow/pattern-10.cwl b/cwl-workflow/pattern-10.cwl index 3b263bf..0f6eb07 100644 --- a/cwl-workflow/pattern-10.cwl +++ b/cwl-workflow/pattern-10.cwl @@ -126,6 +126,8 @@ $graph: steps: subworkflow: run: "#vegetation_indexes" + label: Compute vegetation indexes + doc: Compute NDVI and NDWI vegetation indexes from the Landsat-8/9 acquisitions in: item: items aoi: aoi @@ -139,6 +141,8 @@ $graph: flatten: run: "#flatten_array" + label: Flatten Directory[][] → Directory[] + doc: Flatten the nested array of Directories into a single array in: nested: subworkflow/vegetation_indexes out: diff --git a/cwl-workflow/pattern-11-inputs.json b/cwl-workflow/pattern-11-inputs.json new file mode 100644 index 0000000..a4afb46 --- /dev/null +++ b/cwl-workflow/pattern-11-inputs.json @@ -0,0 +1,13 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "bands": ["green", "nir08"], + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + "dem": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://elevationeuwest.blob.core.windows.net/copernicus-dem/COP30_hh/Copernicus_DSM_COG_10_N38_00_W119_00_DEM.tif" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-11.cwl b/cwl-workflow/pattern-11.cwl index 913f9f3..0b3f1fa 100644 --- a/cwl-workflow/pattern-11.cwl +++ b/cwl-workflow/pattern-11.cwl @@ -117,6 +117,8 @@ $graph: steps: step: run: "#clt" + label: Detect water bodies + doc: Detect water bodies based on the NDWI and otsu threshold from Landsat-8/9 acquisition and DEM in: item: item aoi: aoi diff --git a/cwl-workflow/pattern-12-inputs.json b/cwl-workflow/pattern-12-inputs.json new file mode 100644 index 0000000..166f4ca --- /dev/null +++ b/cwl-workflow/pattern-12-inputs.json @@ -0,0 +1,24 @@ +{ + "aoi": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox", + "bbox": [-118.985, 38.432, -118.183, 38.938], + "crs": "CRS84" + }, + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + "bands": ["green", "nir08"], + "cropped-collection": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI", + "value": "https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/cropped_collection.json" + }, + "ndwi-collection": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI", + "value": "https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/ndi_collection.json" + }, + "water-bodies-collection": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI", + "value": "https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/water_bodies_collection.json" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-12.cwl b/cwl-workflow/pattern-12.cwl index f821cb7..2e965b0 100644 --- a/cwl-workflow/pattern-12.cwl +++ b/cwl-workflow/pattern-12.cwl @@ -136,6 +136,8 @@ $graph: steps: node_crop: run: "#crop" + label: Crop reflectances + doc: Crop the reflectances from the Landsat-8/9 acquisition based on the area of interest and input bands in: item: item aoi: aoi @@ -148,6 +150,8 @@ $graph: scatterMethod: dotproduct node_normalized_difference: run: "#norm_diff" + label: Compute NDWI + doc: Compute NDWI from the cropped reflectances in: rasters: source: node_crop/cropped @@ -157,6 +161,8 @@ $graph: - ndwi node_otsu: run: "#otsu" + label: Detect water bodies + doc: Detect water bodies based on the otsu threshold from the NDWI in: raster: source: node_normalized_difference/ndwi diff --git a/cwl-workflow/pattern-2-inputs.json b/cwl-workflow/pattern-2-inputs.json new file mode 100644 index 0000000..b9d4384 --- /dev/null +++ b/cwl-workflow/pattern-2-inputs.json @@ -0,0 +1,13 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "bands": ["green", "nir08"], + "item_1": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + "item_2": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-2.cwl b/cwl-workflow/pattern-2.cwl index 354823b..281821b 100644 --- a/cwl-workflow/pattern-2.cwl +++ b/cwl-workflow/pattern-2.cwl @@ -117,6 +117,8 @@ $graph: steps: step: run: "#clt" + label: Detect water bodies + doc: Detect water bodies based on the NDWI and otsu threshold from Landsat- in: item_1: item_1 item_2: item_2 diff --git a/cwl-workflow/pattern-3-inputs.json b/cwl-workflow/pattern-3-inputs.json new file mode 100644 index 0000000..1106ae0 --- /dev/null +++ b/cwl-workflow/pattern-3-inputs.json @@ -0,0 +1,15 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "bands": ["green", "nir08"], + "items": [ + { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1" + } + ] +} \ No newline at end of file diff --git a/cwl-workflow/pattern-3.cwl b/cwl-workflow/pattern-3.cwl index d9a1f18..1fbb48b 100644 --- a/cwl-workflow/pattern-3.cwl +++ b/cwl-workflow/pattern-3.cwl @@ -114,6 +114,8 @@ $graph: steps: step: run: "#clt" + label: Detect water bodies + doc: Detect water bodies based on the NDWI and otsu threshold from Landsat- in: item: items aoi: aoi diff --git a/cwl-workflow/pattern-4-inputs.json b/cwl-workflow/pattern-4-inputs.json new file mode 100644 index 0000000..e1b6c29 --- /dev/null +++ b/cwl-workflow/pattern-4-inputs.json @@ -0,0 +1,8 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-4.cwl b/cwl-workflow/pattern-4.cwl index 6b95cc1..eb20ab2 100644 --- a/cwl-workflow/pattern-4.cwl +++ b/cwl-workflow/pattern-4.cwl @@ -114,6 +114,8 @@ $graph: steps: step: run: "#clt" + label: Compute NDVI and NDWI + doc: Compute NDVI and NDWI from Landsat-8/9 acquisitions in: item: item aoi: aoi diff --git a/cwl-workflow/pattern-5-inputs.json b/cwl-workflow/pattern-5-inputs.json new file mode 100644 index 0000000..742eddb --- /dev/null +++ b/cwl-workflow/pattern-5-inputs.json @@ -0,0 +1,9 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "indexes": ["ndvi", "ndwi"], + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-5.cwl b/cwl-workflow/pattern-5.cwl index 591ef64..02ddd54 100644 --- a/cwl-workflow/pattern-5.cwl +++ b/cwl-workflow/pattern-5.cwl @@ -124,6 +124,8 @@ $graph: steps: step: run: "#clt" + label: Compute vegetation indexes + doc: Compute NDVI and NDWI vegetation indexes from the Landsat-8/9 acquisition in: item: item aoi: aoi diff --git a/cwl-workflow/pattern-6-inputs.json b/cwl-workflow/pattern-6-inputs.json new file mode 100644 index 0000000..e1b6c29 --- /dev/null +++ b/cwl-workflow/pattern-6-inputs.json @@ -0,0 +1,8 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-6.cwl b/cwl-workflow/pattern-6.cwl index e289dbf..1c21c1a 100644 --- a/cwl-workflow/pattern-6.cwl +++ b/cwl-workflow/pattern-6.cwl @@ -118,6 +118,8 @@ $graph: steps: step: run: "#clt" + label: Compute NDVI mean + doc: Compute NDVI mean from the Landsat-8/9 acquisition in: item: item aoi: aoi diff --git a/cwl-workflow/pattern-7-inputs.json b/cwl-workflow/pattern-7-inputs.json new file mode 100644 index 0000000..b9d4384 --- /dev/null +++ b/cwl-workflow/pattern-7-inputs.json @@ -0,0 +1,13 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "bands": ["green", "nir08"], + "item_1": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + "item_2": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-7.cwl b/cwl-workflow/pattern-7.cwl index 39c73bd..22201b5 100644 --- a/cwl-workflow/pattern-7.cwl +++ b/cwl-workflow/pattern-7.cwl @@ -117,6 +117,8 @@ $graph: steps: step: run: "#clt" + label: Detect water bodies + doc: Detect water bodies based on the NDWI and otsu threshold from Landsat- in: item_1: item_1 item_2: item_2 diff --git a/cwl-workflow/pattern-8-inputs.json b/cwl-workflow/pattern-8-inputs.json new file mode 100644 index 0000000..c627fec --- /dev/null +++ b/cwl-workflow/pattern-8-inputs.json @@ -0,0 +1,10 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "bands": ["green", "nir08"], + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + }, + "produce_output": true +} \ No newline at end of file diff --git a/cwl-workflow/pattern-8.cwl b/cwl-workflow/pattern-8.cwl index 6d18b8a..3d07f3c 100644 --- a/cwl-workflow/pattern-8.cwl +++ b/cwl-workflow/pattern-8.cwl @@ -128,6 +128,8 @@ $graph: steps: step: run: "#clt" + label: Detect water bodies + doc: Detect water bodies based on the NDWI and otsu threshold from Landsat-8/9 acquisition in: item: item aoi: aoi diff --git a/cwl-workflow/pattern-9-inputs.json b/cwl-workflow/pattern-9-inputs.json new file mode 100644 index 0000000..b3ae4cf --- /dev/null +++ b/cwl-workflow/pattern-9-inputs.json @@ -0,0 +1,9 @@ +{ + "aoi": "-118.985,38.432,-118.183,38.938", + "epsg": "EPSG:4326", + "indexes": ["ndvi", "none"], + "item": { + "class": "https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL", + "value": "https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1" + } +} \ No newline at end of file diff --git a/cwl-workflow/pattern-9.cwl b/cwl-workflow/pattern-9.cwl index 2182790..fbe13d2 100644 --- a/cwl-workflow/pattern-9.cwl +++ b/cwl-workflow/pattern-9.cwl @@ -122,6 +122,8 @@ $graph: steps: step: run: "#clt" + label: Compute vegetation indexes + doc: Compute NDVI and NDWI vegetation indexes from the Landsat-8/9 acquisition in: item: item aoi: aoi diff --git a/docs/helpers.py b/docs/helpers.py index 493e5d3..13e0fb7 100644 --- a/docs/helpers.py +++ b/docs/helpers.py @@ -74,7 +74,7 @@ def _invoke_puml( out = StringIO() to_puml( cwl_document=self.workflow, - diagram_type=DiagramType.COMPONENT, + diagram_type=diagram_type, output_stream=out, workflow_id=self.entrypoint ) @@ -93,9 +93,12 @@ def display_components_diagram(self): def display_sequence_diagram(self): self._invoke_puml(DiagramType.SEQUENCE) - def plot(self): + def display_state_diagram(self): self._invoke_puml(DiagramType.STATE) + def display_class_diagram(self): + self._invoke_puml(DiagramType.CLASS) + class WorkflowWrapper: def __init__(self, workflow, entrypoint): @@ -121,3 +124,13 @@ def wrap(self): workflow_id=self.entrypoint, stage_out=stage_out_cwl, ) + +additional_inputs = { + "another_input": "some_value", + "s3_bucket": "my-bucket", + "sub_path": "my/sub/path", + "aws_access_key_id": "test", + "aws_secret_access_key": "test", + "region_name": "us-west-1", + "endpoint_url": "https://s3.us-west-1.amazonaws.com", +} \ No newline at end of file diff --git a/docs/pattern-1.ipynb b/docs/pattern-1.ipynb index 8082bcf..0e1bea9 100644 --- a/docs/pattern-1.ipynb +++ b/docs/pattern-1.ipynb @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-1\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from pathlib import Path\n", "from IPython.display import Markdown, display\n", @@ -37,30 +42,7 @@ "execution_count": 2, "id": "384acc8b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-12-03 10:30:57.840\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-1.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:57.841\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-1.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:57.851\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:57.851\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - \u001b[34m\u001b[1mUpdating the model from version 'v1.0' to version 'v1.2'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:57.851\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m141\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully updated to v1.2!\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:57.852\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m145\u001b[0m - \u001b[34m\u001b[1mParsing the raw CWL document to the CWL Utils DOM...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.067\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m158\u001b[0m - \u001b[34m\u001b[1mRaw CWL document successfully parsed to the CWL Utils DOM!\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.068\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m160\u001b[0m - \u001b[34m\u001b[1mDereferencing the steps[].run...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.068\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m78\u001b[0m - \u001b[34m\u001b[1mChecking if ../cwl-workflow/pattern-1.cwl#clt must be externally imported...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_on_process\u001b[0m:\u001b[36m82\u001b[0m - \u001b[34m\u001b[1mrun_url: ../cwl-workflow/pattern-1.cwl - uri: ../cwl-workflow/pattern-1.cwl\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m167\u001b[0m - \u001b[34m\u001b[1msteps[].run successfully dereferenced! Dereferencing the FQNs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m171\u001b[0m - \u001b[34m\u001b[1mCWL document successfully dereferenced! Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.069\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.070\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-03 10:30:58.070\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-1.cwl successfully load!\u001b[0m\n" - ] - } - ], + "outputs": [], "source": [ "wf = WorkflowViewer.from_file(app_cwl_file, entrypoint)" ] @@ -82,17 +64,62 @@ "Implementation: delineate water bodies using NDWI and Otsu automatic threshold taking as input a Landsat-8/9 acquisition" ] }, + { + "cell_type": "markdown", + "id": "9de96f79", + "metadata": {}, + "source": [ + "### Diagrams\n" + ] + }, + { + "cell_type": "markdown", + "id": "83186a40", + "metadata": {}, + "source": [ + "#### State diagram" + ] + }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 20, "id": "b72822ec", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wf.display_state_diagram()" + ] + }, + { + "cell_type": "markdown", + "id": "5a2c3ba7", + "metadata": {}, + "source": [ + "### Sequence diagram" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "147df95e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -100,7 +127,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_sequence_diagram()" ] }, { @@ -113,7 +140,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "id": "1f48503f", "metadata": {}, "outputs": [ @@ -149,7 +176,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "id": "754d5444", "metadata": {}, "outputs": [ @@ -182,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "9d819c9d", "metadata": {}, "outputs": [ @@ -215,82 +242,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "28b9c9ce", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-12-03 10:30:59.721\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from 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from https://raw.githubusercontent.com/eoap/application-package-patterns/refs/heads/develop/templates/stage-out.cwl successfully load!\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-directory'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-directory' is valid\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.841\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m281\u001b[0m - \u001b[1mValidating stage-in 'my-asthonishing-stage-in-file'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36m_validate_stage_in\u001b[0m:\u001b[36m303\u001b[0m - \u001b[1mstage-in 'my-asthonishing-stage-in-file' is valid\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m339\u001b[0m - \u001b[1mValidating stage-out 'my-super-stage-out'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap.types\u001b[0m:\u001b[36mvalidate_stage_out\u001b[0m:\u001b[36m361\u001b[0m - \u001b[1mstage-out 'my-super-stage-out' is valid\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.842\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m101\u001b[0m - \u001b[1mBuilding the CWL Orchestrator Workflow...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m130\u001b[0m - \u001b[1mAnalyzing pattern-1 inputs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/aoi: string\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/epsg: string\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.843\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/bands: string[]\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m146\u001b[0m - \u001b[1m* pattern-1/item: Directory\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m159\u001b[0m - \u001b[1m Directory type detected, creating a related 'directory_stage_in_0'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m161\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.844\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m165\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m206\u001b[0m - \u001b[1m Connecting 'app/item' to 'directory_stage_in_0' output...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m257\u001b[0m - \u001b[1mAnalyzing pattern-1 outputs...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m263\u001b[0m - \u001b[1m* pattern-1/water_bodies: Directory\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.845\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m268\u001b[0m - \u001b[1m Directory type detected, creating a related 'stage_out_0'...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.846\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m270\u001b[0m - \u001b[1m Converting Directory to URL-compatible type...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.847\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m274\u001b[0m - \u001b[1m Directory converted to https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m315\u001b[0m - \u001b[1m Connecting 'app/water_bodies' to 'stage_out_0' output...\u001b[0m\n", - "\u001b[32m2025-12-03 10:31:01.848\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36meoap_cwlwrap\u001b[0m:\u001b[36m_build_orchestrator_workflow\u001b[0m:\u001b[36m390\u001b[0m - \u001b[1mOrchestrator Workflow built in 0.0054 seconds\u001b[0m\n" - ] - } - ], + "outputs": [], "source": [ "w = WorkflowWrapper(workflow=wf.workflow, entrypoint=entrypoint)\n", "wrapped = w.wrap()\n", @@ -298,20 +253,59 @@ "app_cwl_file = f\".{entrypoint}.cwl\"\n", "\n", "with open(app_cwl_file, \"w\") as f:\n", - " dump_cwl(process=wrapped, stream=f)" + " dump_cwl(process=wrapped, stream=f)\n", + "\n", + "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")" + ] + }, + { + "cell_type": "markdown", + "id": "51827052", + "metadata": {}, + "source": [ + "### State diagram\n" ] }, { "cell_type": "code", - "execution_count": 8, - "id": "3e868052", + "execution_count": null, + "id": "a208102c", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wf.display_state_diagram()" + ] + }, + { + "cell_type": "markdown", + "id": "376703fd", + "metadata": {}, + "source": [ + "### Sequence diagram" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c46ac89", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" ] }, "metadata": {}, @@ -319,9 +313,8 @@ } ], "source": [ - "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_sequence_diagram()" ] }, { @@ -334,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "id": "cd4b348a", "metadata": {}, "outputs": [ @@ -363,7 +356,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "id": "1505f319", "metadata": {}, "outputs": [ @@ -406,7 +399,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "id": "5d2a4e59", "metadata": {}, "outputs": [ @@ -441,7 +434,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "id": "abcdff15", "metadata": {}, "outputs": [ @@ -474,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "id": "24c48d88", "metadata": {}, "outputs": [], @@ -487,39 +480,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "id": "b2929047", "metadata": {}, - "outputs": [], - "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", - "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "37bb7754", - "metadata": {}, "outputs": [ { "data": { @@ -539,7 +502,14 @@ " \"item\": {\n", " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", - " }\n", + " },\n", + " \"another_input\": \"some_value\",\n", + " \"s3_bucket\": \"my-bucket\",\n", + " \"sub_path\": \"my/sub/path\",\n", + " \"aws_access_key_id\": \"test\",\n", + " \"aws_secret_access_key\": \"test\",\n", + " \"region_name\": \"us-west-1\",\n", + " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\"\n", "}\n", "```\n" ], @@ -552,12 +522,15 @@ } ], "source": [ + "with open(\".params.yaml\", \"w\") as f:\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", + "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -566,31 +539,33 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "id": "81dce561", "metadata": {}, "outputs": [ { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 13\u001b[39m\n\u001b[32m 10\u001b[39m stream_out = StringIO()\n\u001b[32m 11\u001b[39m stream_err = StringIO()\n\u001b[32m---> \u001b[39m\u001b[32m13\u001b[39m res = \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 14\u001b[39m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mparsed_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 15\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_out\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 16\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_err\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 17\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m 19\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m res == \u001b[32m0\u001b[39m:\n\u001b[32m 20\u001b[39m md = \u001b[33mf\u001b[39m\u001b[33m\"\"\"\u001b[39m\n\u001b[32m 21\u001b[39m \n\u001b[32m 22\u001b[39m \u001b[33m### Outputs\u001b[39m\n\u001b[32m (...)\u001b[39m\u001b[32m 26\u001b[39m \u001b[33m```\u001b[39m\n\u001b[32m 27\u001b[39m \u001b[33m \u001b[39m\u001b[33m\"\"\"\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/main.py:1313\u001b[39m, in \u001b[36mmain\u001b[39m\u001b[34m(argsl, args, job_order_object, stdin, stdout, stderr, versionfunc, logger_handler, custom_schema_callback, executor, loadingContext, runtimeContext, input_required)\u001b[39m\n\u001b[32m 1310\u001b[39m runtimeContext.validate_only = args.validate\n\u001b[32m 1311\u001b[39m runtimeContext.validate_stdout = stdout\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m (out, status) = \u001b[43mreal_executor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minitialized_job_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_logger\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtimeContext.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 1317\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m0\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:53\u001b[39m, in \u001b[36mJobExecutor.__call__\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 46\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\n\u001b[32m 47\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 48\u001b[39m process: Process,\n\u001b[32m (...)\u001b[39m\u001b[32m 51\u001b[39m logger: logging.Logger = _logger,\n\u001b[32m 52\u001b[39m ) -> \u001b[38;5;28mtuple\u001b[39m[Optional[CWLObjectType], \u001b[38;5;28mstr\u001b[39m]:\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:136\u001b[39m, in \u001b[36mJobExecutor.execute\u001b[39m\u001b[34m(self, process, job_order_object, runtime_context, logger)\u001b[39m\n\u001b[32m 133\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m req \u001b[38;5;129;01min\u001b[39;00m job_reqs:\n\u001b[32m 134\u001b[39m process.requirements.append(req)\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrun_jobs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjob_order_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m runtime_context.validate_only \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mValidationSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/executors.py:246\u001b[39m, in \u001b[36mSingleJobExecutor.run_jobs\u001b[39m\u001b[34m(self, process, job_order_object, logger, runtime_context)\u001b[39m\n\u001b[32m 241\u001b[39m \u001b[38;5;28mprint\u001b[39m(\n\u001b[32m 242\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is valid CWL. No errors detected in the inputs.\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 243\u001b[39m file=runtime_context.validate_stdout,\n\u001b[32m 244\u001b[39m )\n\u001b[32m 245\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m \u001b[43mjob\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime_context\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 248\u001b[39m logger.error(\u001b[33m\"\u001b[39m\u001b[33mWorkflow cannot make any more progress.\u001b[39m\u001b[33m\"\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:855\u001b[39m, in \u001b[36mContainerCommandLineJob.run\u001b[39m\u001b[34m(self, runtimeContext, tmpdir_lock)\u001b[39m\n\u001b[32m 853\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m runtimeContext.user_space_docker_cmd:\n\u001b[32m 854\u001b[39m monitor_function = functools.partial(\u001b[38;5;28mself\u001b[39m.process_monitor)\n\u001b[32m--> \u001b[39m\u001b[32m855\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mruntime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:323\u001b[39m, in \u001b[36mJobBase._execute\u001b[39m\u001b[34m(self, runtime, env, runtimeContext, monitor_function)\u001b[39m\n\u001b[32m 321\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m builder \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 322\u001b[39m job_script_contents = builder.build_job_script(commands)\n\u001b[32m--> \u001b[39m\u001b[32m323\u001b[39m rcode = \u001b[43m_job_popen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 324\u001b[39m \u001b[43m \u001b[49m\u001b[43mcommands\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 325\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdin_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 326\u001b[39m \u001b[43m \u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstdout_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 327\u001b[39m \u001b[43m \u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstderr_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 328\u001b[39m \u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m=\u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 329\u001b[39m \u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43moutdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 330\u001b[39m \u001b[43m \u001b[49m\u001b[43mmake_job_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate_outdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 331\u001b[39m \u001b[43m \u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjob_script_contents\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 332\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtimelimit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 333\u001b[39m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 334\u001b[39m \u001b[43m \u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmonitor_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stdout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[43m \u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m=\u001b[49m\u001b[43mruntimeContext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdefault_stderr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 337\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 339\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcode \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m.successCodes:\n\u001b[32m 340\u001b[39m processStatus = \u001b[33m\"\u001b[39m\u001b[33msuccess\u001b[39m\u001b[33m\"\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:998\u001b[39m, in \u001b[36m_job_popen\u001b[39m\u001b[34m(commands, stdin_path, stdout_path, stderr_path, env, cwd, make_job_dir, job_script_contents, timelimit, name, monitor_function, default_stdout, default_stderr)\u001b[39m\n\u001b[32m 996\u001b[39m tm.start()\n\u001b[32m 997\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m monitor_function:\n\u001b[32m--> \u001b[39m\u001b[32m998\u001b[39m \u001b[43mmonitor_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msproc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 999\u001b[39m rcode = sproc.wait()\n\u001b[32m 1001\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m tm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/Documents/eoepca/application-package-patterns/.venv/lib/python3.13/site-packages/cwltool/job.py:905\u001b[39m, in \u001b[36mContainerCommandLineJob.docker_monitor\u001b[39m\u001b[34m(self, cidfile, tmpdir_prefix, cleanup_cidfile, docker_exe, process)\u001b[39m\n\u001b[32m 899\u001b[39m cmds.extend([\u001b[33m\"\u001b[39m\u001b[33m--format\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m{{\u001b[39m\u001b[33m.MemPerc}}\u001b[39m\u001b[33m\"\u001b[39m, cid])\n\u001b[32m 900\u001b[39m stats_proc = subprocess.Popen( \u001b[38;5;66;03m# nosec\u001b[39;00m\n\u001b[32m 901\u001b[39m cmds,\n\u001b[32m 902\u001b[39m stdout=stats_file_handle,\n\u001b[32m 903\u001b[39m stderr=subprocess.DEVNULL,\n\u001b[32m 904\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m905\u001b[39m \u001b[43mprocess\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 906\u001b[39m stats_proc.kill()\n\u001b[32m 907\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:1280\u001b[39m, in \u001b[36mPopen.wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 1278\u001b[39m endtime = _time() + timeout\n\u001b[32m 1279\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1280\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1281\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[32m 1282\u001b[39m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[32m 1283\u001b[39m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[32m 1284\u001b[39m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[32m 1285\u001b[39m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[32m 1286\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2066\u001b[39m, in \u001b[36mPopen._wait\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 2064\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.returncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 2065\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m2066\u001b[39m (pid, sts) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 2067\u001b[39m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[32m 2068\u001b[39m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[32m 2069\u001b[39m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[32m 2070\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m pid == \u001b[38;5;28mself\u001b[39m.pid:\n", - "\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.13/subprocess.py:2024\u001b[39m, in \u001b[36mPopen._try_wait\u001b[39m\u001b[34m(self, wait_flags)\u001b[39m\n\u001b[32m 2022\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[32m 2023\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m2024\u001b[39m (pid, sts) = \u001b[43mos\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2025\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[32m 2026\u001b[39m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[32m 2027\u001b[39m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[32m 2028\u001b[39m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[32m 2029\u001b[39m pid = \u001b[38;5;28mself\u001b[39m.pid\n", - "\u001b[31mKeyboardInterrupt\u001b[39m: " - ] + "data": { + "text/markdown": [ + "\n", + "\n", + "### Outputs\n", + "\n", + "```json\n", + "{\n", + " \"water_bodies\": {\n", + " \"value\": \"s3://my-bucket/my/sub/path-1b9e57/catalog.json\",\n", + " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", + " }\n", + "}\n", + "```\n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -645,7 +620,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -659,7 +634,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-10.ipynb b/docs/pattern-10.ipynb index caad3bd..f3196d7 100644 --- a/docs/pattern-10.ipynb +++ b/docs/pattern-10.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-10\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -80,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -96,7 +101,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -302,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -320,7 +325,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -486,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "735a2649", "metadata": {}, "outputs": [ @@ -527,40 +532,15 @@ } ], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"indexes\": [\"ndvi\", \"ndwi\"],\n", - " \"items\": [\n", - " {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\",\n", - " },\n", - " ],\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -642,7 +622,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -656,7 +636,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-11.ipynb b/docs/pattern-11.ipynb index ae57668..22840f1 100644 --- a/docs/pattern-11.ipynb +++ b/docs/pattern-11.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-11\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -76,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -92,7 +97,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -301,7 +306,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -319,7 +324,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -488,7 +493,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "3029a947", "metadata": {}, "outputs": [ @@ -527,38 +532,15 @@ } ], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " \"dem\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://elevationeuwest.blob.core.windows.net/copernicus-dem/COP30_hh/Copernicus_DSM_COG_10_N38_00_W119_00_DEM.tif\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -642,7 +624,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -656,7 +638,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-12.ipynb b/docs/pattern-12.ipynb index 4033417..0ceec79 100644 --- a/docs/pattern-12.ipynb +++ b/docs/pattern-12.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-12\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -80,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -96,7 +101,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -318,7 +323,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -336,7 +341,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -508,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "7fa174e4", "metadata": {}, "outputs": [ @@ -563,50 +568,15 @@ } ], "source": [ - "params = {\n", - " \"aoi\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#BBox\",\n", - " \"bbox\": [-118.985, 38.432, -118.183, 38.938],\n", - " \"crs\": \"CRS84\",\n", - " },\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"cropped-collection\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/cropped_collection.json\",\n", - " },\n", - " \"ndwi-collection\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/ndi_collection.json\",\n", - " },\n", - " \"water-bodies-collection\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/ogc.yaml#URI\",\n", - " \"value\": \"https://github.com/eoap/application-package-patterns/raw/refs/heads/develop/collections/water_bodies_collection.json\",\n", - " },\n", - "}\n", - "\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -688,7 +658,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -702,7 +672,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-2.ipynb b/docs/pattern-2.ipynb index f0a268b..02d15b0 100644 --- a/docs/pattern-2.ipynb +++ b/docs/pattern-2.ipynb @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-2\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\"))\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -36,30 +41,7 @@ "execution_count": 2, "id": "384acc8b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m2025-12-03 10:32:03.003\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_location\u001b[0m:\u001b[36m228\u001b[0m - \u001b[34m\u001b[1mLoading CWL document from ../cwl-workflow/pattern-2.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.004\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m231\u001b[0m - \u001b[34m\u001b[1mReading stream from ../cwl-workflow/pattern-2.cwl...\u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.014\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_stream\u001b[0m:\u001b[36m203\u001b[0m - \u001b[34m\u001b[1mCWL data of type successfully loaded from stream\u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.015\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m130\u001b[0m - 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Now verifying steps[].run integrity...\u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m175\u001b[0m - \u001b[34m\u001b[1mAll steps[].run link are resolvable! \u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m178\u001b[0m - \u001b[34m\u001b[1mSorting Process instances by dependencies....\u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.246\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36mload_cwl_from_yaml\u001b[0m:\u001b[36m180\u001b[0m - \u001b[34m\u001b[1mSorting process is over.\u001b[0m\n", - "\u001b[32m2025-12-03 10:32:03.247\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mcwl_loader\u001b[0m:\u001b[36m_load_cwl_from_stream\u001b[0m:\u001b[36m240\u001b[0m - \u001b[34m\u001b[1mStream from ../cwl-workflow/pattern-2.cwl successfully load!\u001b[0m\n" - ] - } - ], + "outputs": [], "source": [ "wf = WorkflowViewer.from_file(app_cwl_file, entrypoint)" ] @@ -83,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -99,7 +81,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -112,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "1f48503f", "metadata": {}, "outputs": [ @@ -149,7 +131,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "754d5444", "metadata": {}, "outputs": [ @@ -182,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "9d819c9d", "metadata": {}, "outputs": [ @@ -215,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "28b9c9ce", "metadata": {}, "outputs": [ @@ -308,25 +290,26 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "NameError", + "evalue": "name 'WorkflowViewer' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m wf = \u001b[43mWorkflowViewer\u001b[49m(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\u001b[33m\"\u001b[39m\u001b[33mmain\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 3\u001b[39m wf.display_state_diagram()\n", + "\u001b[31mNameError\u001b[39m: name 'WorkflowViewer' is not defined" + ] } ], "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -339,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "db90164b", "metadata": {}, "outputs": [ @@ -368,7 +351,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "1505f319", "metadata": {}, "outputs": [ @@ -412,7 +395,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "5d2a4e59", "metadata": {}, "outputs": [ @@ -448,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "abcdff15", "metadata": {}, "outputs": [ @@ -481,7 +464,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "2dd2452c", "metadata": {}, "outputs": [], @@ -494,85 +477,20 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "fd41a34a", "metadata": {}, "outputs": [], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"item_1\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " \"item_2\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "9491fae9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Inputs\n", - "\n", - "```json\n", - "{\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\n", - " \"green\",\n", - " \"nir08\"\n", - " ],\n", - " \"item_1\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", - " },\n", - " \"item_2\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", + "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -581,7 +499,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "76b2860d", "metadata": {}, "outputs": [ @@ -654,7 +572,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -668,7 +586,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-3.ipynb b/docs/pattern-3.ipynb index b915cd3..75d5a77 100644 --- a/docs/pattern-3.ipynb +++ b/docs/pattern-3.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [ @@ -19,11 +19,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-3\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -34,7 +39,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -98,23 +103,24 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "id": "b72822ec", "metadata": {}, "outputs": [ { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "NameError", + "evalue": "name 'wf' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43mwf\u001b[49m.display_state_diagram()\n", + "\u001b[31mNameError\u001b[39m: name 'wf' is not defined" + ] } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -319,7 +325,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -337,7 +343,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -503,43 +509,7 @@ }, { "cell_type": "code", - "execution_count": 30, - "id": "653ffcc3", - "metadata": {}, - "outputs": [], - "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"items\": [\n", - " {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\",\n", - " },\n", - " ],\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", - "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "a15fae27", "metadata": {}, "outputs": [ @@ -580,12 +550,15 @@ } ], "source": [ + "with open(\".params.yaml\", \"w\") as f:\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", + "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -667,7 +640,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -681,7 +654,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-4.ipynb b/docs/pattern-4.ipynb index a4bf1fd..2972b2d 100644 --- a/docs/pattern-4.ipynb +++ b/docs/pattern-4.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-4\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -33,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "384acc8b", "metadata": {}, "outputs": [], @@ -58,14 +63,70 @@ "Implementation: process the NDVI and NDWI taking as input a Landsat-8/9 acquisition. The output include two STAC Catalogs, each with a single STAC Item" ] }, + { + "cell_type": "markdown", + "id": "112c41d8", + "metadata": {}, + "source": [ + "### Diagrams" + ] + }, + { + "cell_type": "markdown", + "id": "ab59ee46", + "metadata": {}, + "source": [ + "#### State diagram" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "b72822ec", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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UdHw/tMylLF5bgNAz5ASc+hTBfwhFp3riupSsI376dDMzPJrfzYM/sO0V0i2Qx6sEZZf7ZY+SiifNHXXE77deSV9CqPNeKcOTOgnv9KuPjzBRsIOO+EPqiV9CwFU+b4cTQkcK4YhU/nZIQ/wqIfiyO0Or10U5bPs2JcqOFMMR5Wp/UaIo/sqfbSUs9q0VIPezuEwOOORPRIhSgKC+okkxro2iOPxxSL8b0PwGEOCvi29T3ws9orIG/VNAUJfoOCXG0xXFr6MjgxEE3ojDI/srlxSl0B8UrQAf4VYV79fnCAImf9dDrAB9Wq0vaIn3MLiCAP85QvoB9Ie7yoikKb4KhDpBpB8ABqQ2L2iJrwIBXxGdnTOElP4SUFO8i8GVI8H/yhVsjTQyDHYV4HFNcZ4Nju4gQOHv5Rmho4quOM/qFILy3z432tD/J+aaKR8dQ+isZ05LfeJ86UNYzNCAdAyh80nv7LjQrtm+D2Exw+oQFgBgLENYzOAIQnG9JAl1n1OcXNEelwdS06XAp45TNZX3hQHCE6z22YHH3XIYaYYZmnz9g21HSlFWFsEdFNicyxQgvIMX1Agz9JZi6dUuC6MqeONbkGC8Ba8bydDLzU+sQ4ih5BS0/TnDngIg4AS0uQefMY3SnvAG+kJ4xod9UOMNbEZ+DQJp68MOGp9sEgiEyw+4+XZUIwK1FU4BAuQM73H5ABS/B4GMO4ctfgVVA6HelPUGpuiRRk17wjuAcPupNvXxUIAvjWWA1GGw7kiNVnVA9qXECjjbEUOMacQhMOEQIHyCQ4rvUZqPZ4DUYXAFAe/iDz5TCGUQE4eZsQITDgACjoMC10FA/rJ7JMNQf0hxBqGKgx8yIkFAAdmyj2jErYCpMHEkfCSyyYZkG8lAkgfBNoROBe+3xhoJhAFrJ7d61CEEfZ08BGo4ZhN1Gy5JajarpnhTu3ekBTNoNqumuLfCQvM3lzWbVVPcW8FbYbwFvCPRdvFT28A9ND1DU7ypzs/Og3bvJ2g2q6a4t0K/tafONJtVU9xbYard++mazaop7q3Qb+2pM81m1RT3Vphq9366ZrNqinsr9Ft76kyzWTXFvRWm2r2frtmsmuLeCv3WnjrTbFZNcW+FqXbvp2s2q6a4t0K/tafONJtVU9xbYardRTp9N5U26+JbqiSPprioBiLO7mBcyENLAkF+xbpbexvXFG8zOoTwiQADQCijT7e+qbimeLcYZ1bA2/ABEK6IPEtXCJrinRLdQXii8IHgxUelrgBvgOuJrwIBxwhekUyyTmWzUU3xtix3VgAfCgEC6dVKQVO8LdMhBAwItmlb1VJMU1wU14dgl7BWAISl1yKFIsAP0hPnORtqFKcjWSasoTjiFakcNcWbIpkRMIegSlhTUQhkdihXlKRimuKsaM5xExBUCGuKWukQ1aBITXGhBOe4CQgKhDWReT5CiWpnPV6burioW3DcWgiLhDWReT6iQ1SDkjTFRd3tAqyFsEhYE7nnIxpENVKQpjivu8Nx60BYIqzx3AtHV7y2brU9jlsXwjxhrVvETFyRqMZL0BQn2WSOWx/CHGGNM9EWjopENV6KpjjJJnPcZAi8db4+rslrY0pah7Amr80VBE2imqb4iHfYt8KKvDZXVliR1+YMwnq8NncQoOT3I6pZBQq/daT8BYax0uz3haaWjFAA1MJNeZc9Wp4rCOc9ee2fhSWa2n5/4aJqGfrSriBkWbttW6Cp1eGOMgVaxRYytII05gzCfqt6B6PcZRIESceFU3sQZKraOaOutMxrCw8A4SteG8NmD4JMVXtHiry2MAHKyVe8NusQJKoaTmK4qbrMayt39QYc6Rtem3UIxG8Ery3d42KnxGs7XDEIf8Vrsw6hIYUxXhsMMs9Ehdf2Dj+YjEjf8NpcQeBUNaB5bRV4bcUOnAggfMNrcwWBU9Uwzg8KvLbwgs8BQPiG1+YMQkNVgwdV22Ve2xsBCY5ObV/w2mxDYOXRX0pVg1hUdRLHo+WOC49fV0i1Ny+MVAaDzVLYL4ssFeEUQglddT7UMB6ZBqcQ6nBp01CarbMpeqcQ8H7pgyQW/Kh9vmBqztH8NzJazoRlM81k5pfcWmFJRcP9GgPhFgLezW8/Fx2Nt/Tc0TGEa7v9HNFiyUgjWUaSHEOo2u3nSOVW/MhxdwYO/Nz2M1sasEZgD5McWwGfyRJ8ItjxI+dWeJO93ERYGnInssnJrq2A08FnE4UKGnfLRJ6RiHMIp2KkVpr0WVx+TOXspzuH8CJfSBkN14WpezTTSKJzCDgmnxgaCwvT3liW0TT3EPLmbQ+5elt+5HxEggfBEy8mzU/cMuCZc/dWmNp+2vKjFayAj9Ktd9agn3CmYbUurWCFO3yoahis+dEaVsCj++MdfBjNTljBCnjsRsZndgmrhW0NCGN7/MvsRuKfgzC2IrXnR6v0BTxcz1n0o3UgDEcfi360DoThHGDRj9aBgLfSCGrTj1aCcJG2nzb9aCUI8o0Mm360EgRp+2nVj9aC0N9+WvWjtSCI7Sclx1j1o7Ug4Jjq/sEvuKExHGO1FhSy8BprJFJnDp+6xecKV7A2Gs50slZa5ytAoM8MH7BpeJNdDnlSPn+7W0t/EF4DwpGAgKefCVlghxe6769U/7VnGdAKEPArgpsYh2uJyI2AMCb3Ic8R7RvL+ilIrAEB31F0L7MoIs8GY7S93WM0up9W0HdEZBUI+IJQGiL6KdsU2FMh++btiDrfJK0DAedAXUNbclMM/lkCKf1tkjKalSDgjNDvyJP+nECw1xGgxLUgYHCglCy5wadiKw93hJVWg/CJUUJuED8Q/dK5UMA8shoEXIVom4TJFsVLbzVooloNwmOboicsMJ4onX2EqKk/iK8FoYCOwB5Z3fE9LfQVnc6xEoT9vus99d7SAx6Kax0Ihazy3qIdVoHwSKkNnoc4TI7Unep07pH6tNOMXVkFArsHc4hCCNskJ3qM37Ef03AxbQ0IT9grYLwnACBEu5ycblnnJlHDsAaEguzY7gwA/MYJ0f5cGGousq8BgTZ4KiCElBXATCP0MIisASEhb0G2CMKUPE3/kB8rYQ0I9IFOB0JEE+iPDQxrQJCtEP89K9C+kLRmoH818rf6Ah2RLi2E+O+NSKzBxZDE5ra/NS80T0i2zA5RTvrwH5udcbNGKrdRGO3prPzn1kj4769UYYH05/cL8P0gevuCzWR/c9dGiD3b8wv2zq/z9o/unaH9n8UO7mDsCmurbGbT1bb/TXUuDmuskVzo3SnTQ+g0xq9F/wfE/JgjWPRbPgAAAABJRU5ErkJggg==", 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wf.display_sequence_diagram()" ] }, { @@ -78,10 +139,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "1f48503f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `aoi` | `string` | area of interest | area of interest as a bounding box |\n", + "| `epsg` | `string` | EPSG code | EPSG code |\n", + "| `item` | `Directory` | Landsat-8/9 acquisition reference | Landsat-8/9 acquisition reference |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_inputs()" ] @@ -96,10 +174,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "754d5444", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Runs | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `step` | `#clt` | Compute NDVI and NDWI | Compute NDVI and NDWI from Landsat-8/9 acquisitions |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_steps()" ] @@ -114,10 +207,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "9d819c9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `ndvi` | `Directory` | NDVI vegetation index | NDVI vegetation index |\n", + "| `ndwi` | `Directory` | NDWI vegetation index | NDWI vegetation index |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_outputs()" ] @@ -132,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "28b9c9ce", "metadata": {}, "outputs": [], @@ -148,31 +257,70 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "3e868052", + "execution_count": 11, + "id": "137e6209", "metadata": {}, "outputs": [], "source": [ - "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", - "\n", - "wf.plot()" + "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "6c3889ee", + "metadata": {}, + "source": [ + "### State diagram\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4fb185aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wf.display_state_diagram()" ] }, { "cell_type": "markdown", - "id": "8106e9d4", + "id": "8ec019a7", "metadata": {}, "source": [ - "### Workflow sequence diagram" + "### Sequence diagram" ] }, { "cell_type": "code", "execution_count": null, - "id": "12b7d698", + "id": "3e868052", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "\n", "wf.display_sequence_diagram()" ] }, @@ -186,10 +334,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "1505f319", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `aoi` | `string` | area of interest - pattern-4/aoi | area of interest as a bounding box - This parameter is derived from pattern-4/aoi |\n", + "| `epsg` | `string` | EPSG code - pattern-4/epsg | EPSG code - This parameter is derived from pattern-4/epsg |\n", + "| `another_input` | `string` | Another Input - my-asthonishing-stage-in-directory/another_input | An additional input for demonstration purposes - This parameter is derived from my-asthonishing-stage-in-directory/another_input |\n", + "| `item` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | Landsat-8/9 acquisition reference - pattern-4/item | Landsat-8/9 acquisition reference - This parameter is derived from pattern-4/item |\n", + "| `s3_bucket` | `string` | my-super-stage-out/s3_bucket | This parameter is derived from: my-super-stage-out/s3_bucket |\n", + "| `sub_path` | `string` | my-super-stage-out/sub_path | This parameter is derived from: my-super-stage-out/sub_path |\n", + "| `aws_access_key_id` | `string` | my-super-stage-out/aws_access_key_id | This parameter is derived from: my-super-stage-out/aws_access_key_id |\n", + "| `aws_secret_access_key` | `string` | my-super-stage-out/aws_secret_access_key | This parameter is derived from: my-super-stage-out/aws_secret_access_key |\n", + "| `region_name` | `string` | my-super-stage-out/region_name | This parameter is derived from: my-super-stage-out/region_name |\n", + "| `endpoint_url` | `string` | my-super-stage-out/endpoint_url | This parameter is derived from: my-super-stage-out/endpoint_url |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_inputs()" ] @@ -204,10 +376,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "5d2a4e59", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Runs | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `directory_stage_in_0` | `#my-asthonishing-stage-in-directory` | None | None |\n", + "| `app` | `#pattern-4` | None | None |\n", + "| `stage_out_0` | `#my-super-stage-out` | None | None |\n", + "| `stage_out_1` | `#my-super-stage-out` | None | None |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_steps()" ] @@ -222,10 +412,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "abcdff15", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "| Id | Type | Label | Doc |\n", + "| --- | --- | --- | --- |\n", + "| `ndvi` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDVI vegetation index | NDVI vegetation index |\n", + "| `ndwi` | `https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI` | NDWI vegetation index | NDWI vegetation index |\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wf.display_outputs()" ] @@ -240,7 +446,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "4e8372f1", "metadata": {}, "outputs": [], @@ -253,38 +459,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "id": "58f84721", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "\n", + "\n", + "### Inputs\n", + "\n", + "```json\n", + "{\n", + " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", + " \"epsg\": \"EPSG:4326\",\n", + " \"item\": {\n", + " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", + " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", + " },\n", + " \"another_input\": \"some_value\",\n", + " \"s3_bucket\": \"my-bucket\",\n", + " \"sub_path\": \"my/sub/path\",\n", + " \"aws_access_key_id\": \"test\",\n", + " \"aws_secret_access_key\": \"test\",\n", + " \"region_name\": \"us-west-1\",\n", + " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\"\n", + "}\n", + "```\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -293,10 +515,39 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "id": "b2fdc13a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/markdown": [ + "\n", + "\n", + "### Outputs\n", + "\n", + "```json\n", + "{\n", + " \"ndvi\": {\n", + " \"value\": \"s3://my-bucket/my/sub/path-aur5rz/catalog.json\",\n", + " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", + " },\n", + " \"ndwi\": {\n", + " \"value\": \"s3://my-bucket/my/sub/path-twv6om/catalog.json\",\n", + " \"type\": \"https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI\"\n", + " }\n", + "}\n", + "```\n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "parsed_args = argparse.Namespace(\n", " podman=False,\n", @@ -343,7 +594,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -357,7 +608,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-5.ipynb b/docs/pattern-5.ipynb index 5609df3..f160678 100644 --- a/docs/pattern-5.ipynb +++ b/docs/pattern-5.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-5\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -83,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -99,7 +104,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -303,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -321,7 +326,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -487,69 +492,20 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "bb9e34fd", + "execution_count": null, + "id": "032c31d4", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Inputs\n", - "\n", - "```json\n", - "{\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"indexes\": [\n", - " \"ndvi\",\n", - " \"ndwi\"\n", - " ],\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"indexes\": [\"ndvi\", \"ndwi\"],\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -631,7 +587,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -645,7 +601,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-6.ipynb b/docs/pattern-6.ipynb index 8b60671..e980923 100644 --- a/docs/pattern-6.ipynb +++ b/docs/pattern-6.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + " \n", "pattern = \"pattern-6\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -83,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -99,7 +104,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -296,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -314,7 +319,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -472,7 +477,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "dea8daf5", "metadata": {}, "outputs": [ @@ -503,33 +508,15 @@ } ], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -611,7 +598,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -625,7 +612,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-7.ipynb b/docs/pattern-7.ipynb index aeff6a2..cf80f86 100644 --- a/docs/pattern-7.ipynb +++ b/docs/pattern-7.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-7\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -82,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -98,7 +103,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -308,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -326,7 +331,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -494,77 +499,20 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "9606bd15", + "execution_count": null, + "id": "e71056ab", "metadata": {}, - "outputs": [ - { - "data": { - "text/markdown": [ - "\n", - "\n", - "### Inputs\n", - "\n", - "```json\n", - "{\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\n", - " \"green\",\n", - " \"nir08\"\n", - " ],\n", - " \"item_1\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\"\n", - " },\n", - " \"item_2\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\"\n", - " }\n", - "}\n", - "```\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"item_1\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " \"item_2\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC09_L2SP_042033_20231015_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -646,7 +594,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -660,7 +608,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-8.ipynb b/docs/pattern-8.ipynb index 17ab4b9..3d9f7e6 100644 --- a/docs/pattern-8.ipynb +++ b/docs/pattern-8.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,17 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-8\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +31,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -304,7 +310,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -322,7 +328,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_class_diagram()" ] }, { @@ -489,7 +495,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "0b808271", "metadata": {}, "outputs": [ @@ -525,36 +531,15 @@ } ], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"bands\": [\"green\", \"nir08\"],\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - " \"produce_output\": True,\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", - "\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -636,7 +621,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -650,7 +635,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/docs/pattern-9.ipynb b/docs/pattern-9.ipynb index e5d3a97..e23ffd1 100644 --- a/docs/pattern-9.ipynb +++ b/docs/pattern-9.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "49711fee", "metadata": {}, "outputs": [], @@ -10,11 +10,16 @@ "%load_ext autoreload\n", "%autoreload 2\n", "\n", + "import json\n", + "\n", "pattern = \"pattern-9\"\n", "\n", "entrypoint = pattern\n", "app_cwl_file = f\"../cwl-workflow/{pattern}.cwl\"\n", "\n", + "with open(f\"../cwl-workflow/{pattern}-inputs.json\", \"r\") as f:\n", + " app_inputs = json.load(f)\n", + "\n", "try:\n", " from docs.helpers import plot_cwl, wrap_cwl\n", "except (ImportError, ModuleNotFoundError) as e:\n", @@ -25,7 +30,7 @@ " module_path = os.path.abspath(os.path.join(\".\")) # or the path to your source code\n", " sys.path.insert(0, module_path)\n", "\n", - "from helpers import WorkflowViewer, WorkflowWrapper\n", + "from helpers import WorkflowViewer, WorkflowWrapper, additional_inputs\n", "from cwl_loader import dump_cwl\n", "from IPython.display import Markdown, display\n", "import json" @@ -81,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b72822ec", "metadata": {}, "outputs": [ @@ -97,7 +102,7 @@ } ], "source": [ - "wf.plot()" + "wf.display_class_diagram()" ] }, { @@ -302,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "3e868052", "metadata": {}, "outputs": [ @@ -320,7 +325,7 @@ "source": [ "wf = WorkflowViewer(cwl_file=app_cwl_file, workflow=wrapped, entrypoint=\"main\")\n", "\n", - "wf.plot()" + "wf.display_state_diagram()" ] }, { @@ -486,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "dd06f5bd", "metadata": {}, "outputs": [ @@ -521,34 +526,15 @@ } ], "source": [ - "params = {\n", - " \"aoi\": \"-118.985,38.432,-118.183,38.938\",\n", - " \"epsg\": \"EPSG:4326\",\n", - " \"indexes\": [\"ndvi\", \"none\"],\n", - " \"item\": {\n", - " \"class\": \"https://raw.githubusercontent.com/eoap/schemas/main/url.yaml#URL\",\n", - " \"value\": \"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/LC08_L2SP_042033_20231007_02_T1\",\n", - " },\n", - "}\n", - "additional_params = {\n", - " \"another_input\": \"some_value\",\n", - " \"s3_bucket\": \"my-bucket\",\n", - " \"sub_path\": \"my/sub/path\",\n", - " \"aws_access_key_id\": \"test\",\n", - " \"aws_secret_access_key\": \"test\",\n", - " \"region_name\": \"us-west-1\",\n", - " \"endpoint_url\": \"https://s3.us-west-1.amazonaws.com\",\n", - "}\n", - "\n", "with open(\".params.yaml\", \"w\") as f:\n", - " yaml.dump({**params, **additional_params}, f)\n", + " yaml.dump({**app_inputs, **additional_inputs}, f)\n", "\n", "md = f\"\"\"\n", "\n", "### Inputs\n", "\n", "```json\n", - "{json.dumps(params, indent=2)}\n", + "{json.dumps({**app_inputs, **additional_inputs}, indent=2)}\n", "```\n", "\"\"\"\n", "\n", @@ -630,7 +616,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "patterns (3.13.1)", "language": "python", "name": "python3" }, @@ -644,7 +630,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.8" + "version": "3.13.1" } }, "nbformat": 4, diff --git a/templates/stage-in-file.cwl b/templates/stage-in-file.cwl index dc3deb5..aea8f74 100644 --- a/templates/stage-in-file.cwl +++ b/templates/stage-in-file.cwl @@ -2,7 +2,8 @@ cwlVersion: v1.0 class: CommandLineTool id: my-asthonishing-stage-in-file - +label: "Astonishing Stage-in from URL" +doc: "Stages in a file from a given URL" inputs: reference: type: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI @@ -15,6 +16,8 @@ inputs: outputs: staged: type: File + doc: "The staged file" + label: "Staged File" outputBinding: glob: staged baseCommand: diff --git a/templates/stage-in.cwl b/templates/stage-in.cwl index 8b9f917..dd5993e 100644 --- a/templates/stage-in.cwl +++ b/templates/stage-in.cwl @@ -2,7 +2,8 @@ cwlVersion: v1.0 class: CommandLineTool id: my-asthonishing-stage-in-directory - +label: "Astonishing Stage-in from STAC Item" +doc: "Stages in a STAC Item from a given URL" inputs: reference: type: https://raw.githubusercontent.com/eoap/schemas/main/string_format.yaml#URI @@ -15,6 +16,8 @@ inputs: outputs: staged: type: Directory + label: "Staged Directory" + doc: "The directory containing the staged STAC Item as a STAC catalog" outputBinding: glob: . baseCommand: diff --git a/templates/stage-out.cwl b/templates/stage-out.cwl index ddd94ed..f5a8088 100644 --- a/templates/stage-out.cwl +++ b/templates/stage-out.cwl @@ -3,21 +3,33 @@ cwlVersion: v1.0 class: CommandLineTool id: my-super-stage-out - +label: "Super Stage-out to S3" doc: "Stage-out the results to S3" inputs: s3_bucket: type: string + label: "S3 Bucket name" + doc: "The name of the S3 bucket to stage out to" sub_path: type: string + label: "Sub-path in S3 bucket" + doc: "The sub-path within the S3 bucket to stage out to" aws_access_key_id: type: string + label: "AWS Access Key ID" + doc: "The AWS Access Key ID" aws_secret_access_key: type: string + label: "AWS Secret Access Key" + doc: "The AWS Secret Access Key" region_name: type: string + label: "AWS Region Name" + doc: "The AWS Region Name" endpoint_url: type: string + label: "AWS Endpoint URL" + doc: "The AWS Endpoint URL" stac_catalog: doc: "The folder containing the STAC catalog to stage out" label: "STAC Catalog folder" From f1b855a5847820ce36b631ed37fd552a99e076f9 Mon Sep 17 00:00:00 2001 From: Fabrice Brito Date: Wed, 7 Jan 2026 16:21:40 +0100 Subject: [PATCH 14/15] missed add --- docs/pattern-4.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/pattern-4.ipynb b/docs/pattern-4.ipynb index 2972b2d..12df941 100644 --- a/docs/pattern-4.ipynb +++ b/docs/pattern-4.ipynb @@ -110,15 +110,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "id": "5ebd476e", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "" + "" ] }, "metadata": {}, From d7ac04e2217b9c00968605b8f7feb277548f50c3 Mon Sep 17 00:00:00 2001 From: Fabrice Brito Date: Wed, 7 Jan 2026 16:27:34 +0100 Subject: [PATCH 15/15] fixes cwl version in pattern 12 --- cwl-workflow/pattern-12.cwl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cwl-workflow/pattern-12.cwl b/cwl-workflow/pattern-12.cwl index 2e965b0..16932f9 100644 --- a/cwl-workflow/pattern-12.cwl +++ b/cwl-workflow/pattern-12.cwl @@ -1,4 +1,4 @@ -cwlVersion: v1.0 +cwlVersion: v1.2 schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $namespaces: