diff --git a/.coveragerc b/.coveragerc deleted file mode 100644 index 872e8627..00000000 --- a/.coveragerc +++ /dev/null @@ -1,10 +0,0 @@ -[run] -source = pya - -[report] -exclude_lines = - # Have to re-enable the standard pragma - pragma: no cover - - # Don't complain if tests don't hit defensive assertion code: - raise NotImplementedError diff --git a/.github/workflows/pya-ci.yaml b/.github/workflows/pya-ci.yaml index 766bac75..9ec602d0 100644 --- a/.github/workflows/pya-ci.yaml +++ b/.github/workflows/pya-ci.yaml @@ -1,51 +1,126 @@ -name: Pya +name: test-and-publish on: push: - branches: - - master - - develop - pull_request: - branches: - - master - - develop + # Avoid using all the resources/limits available by checking only + # relevant branches and tags. Other branches can be checked via PRs. + branches: [main] + tags: ['v[0-9]*', '[0-9]+.[0-9]+*'] # Match tags that resemble a version + pull_request: # Run in every PR + workflow_dispatch: # Allow manually triggering the workflow + schedule: + # Run roughly every 15 days at 00:00 UTC + # (useful to check if updates on dependencies break the package) + - cron: '0 0 1,16 * *' + +permissions: + contents: read + +concurrency: + group: >- + ${{ github.workflow }}-${{ github.ref_type }}- + ${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: true jobs: - unit-test: - runs-on: ${{ matrix.os }} - timeout-minutes: 120 + prepare: + runs-on: ubuntu-latest + outputs: + wheel-distribution: ${{ steps.wheel-distribution.outputs.path }} + steps: + - uses: actions/checkout@v5 + with: {fetch-depth: 0} # deep clone for hatch-scm + - uses: astral-sh/setup-uv@v8.1.0 + - name: Run static analysis and format checkers + run: uv run pre-commit run --all-files --show-diff-on-failure + - name: Build package distribution files + run: uv run tox -e clean,build + - name: Record the path of wheel distribution + id: wheel-distribution + run: echo "path=$(ls dist/*.whl)" >> $GITHUB_OUTPUT + - name: Store the distribution files for use in other stages + # `tests` and `publish` will use the same pre-built distributions, + # so we make sure to release the exact same package that was tested + uses: actions/upload-artifact@v4 + with: + name: python-distribution-files + path: dist/ + retention-days: 1 + + test: + needs: prepare strategy: matrix: - os: ["ubuntu-latest", "macos-latest"] - python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] + python: + - "3.11" + - "3.12" + - "3.13" + - "3.14" + platform: + - ubuntu-latest + - macos-latest + - windows-latest + runs-on: ${{ matrix.platform }} + steps: + - uses: actions/checkout@v5 + - uses: astral-sh/setup-uv@v8.1.0 + with: + python-version: ${{ matrix.python }} + - name: Install portaudio Ubuntu + if: matrix.platform == 'ubuntu-latest' + shell: bash -l {0} + run: sudo apt-get install portaudio19-dev + - name: Install portaudio MacOS + if: matrix.platform == 'macos-latest' + shell: bash -l {0} + run: brew install portaudio + - name: Retrieve pre-built distribution files + uses: actions/download-artifact@v4 + with: {name: python-distribution-files, path: dist/} + - name: Run tests + run: >- + uv run tox --installpkg '${{ needs.prepare.outputs.wheel-distribution }}' + -- -rFEx --durations 10 --color yes # pytest args + - name: Upload partial coverage report + uses: coverallsapp/github-action@master + with: + path-to-lcov: coverage.lcov + github-token: ${{ secrets.GITHUB_TOKEN }} + flag-name: ${{ matrix.platform }} - py${{ matrix.python }} + parallel: true + + finalize: + needs: test + runs-on: ubuntu-latest + steps: + - name: Finalize coverage report + uses: coverallsapp/github-action@master + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + parallel-finished: true + - name: debug + run: echo "ref=${{ github.ref }} event=${{ github.event_name }}" + + + + publish: + needs: finalize + if: ${{ (github.event_name == 'push' || github.event_name == 'workflow_dispatch') && contains(github.ref, 'refs/tags/') }} + runs-on: ubuntu-latest + permissions: + contents: write steps: - - uses: actions/checkout@v3 - - name: Install portaudio Ubuntu - if: matrix.os == 'ubuntu-latest' - shell: bash -l {0} - run: sudo apt-get install portaudio19-dev - - name: Install portaudio MacOS - if: matrix.os == 'macos-latest' - shell: bash -l {0} - run: brew install portaudio - - uses: conda-incubator/setup-miniconda@v2 - with: - miniconda-version: "latest" - activate-environment: test-env - environment-file: ci/test-environment.yml - python-version: ${{ matrix.python-version }} - auto-activate-base: false - - name: Set up depen - shell: bash -l {0} - run: | - conda init bash - conda config --add channels defaults - conda activate test-env - conda install ffmpeg coverage python-coveralls --file=requirements_remote.txt --file=requirements_test.txt - # pyaudio is not yet available on conda - pip install -r requirements.txt - - name: Run tests - shell: bash -l {0} - run: | - conda activate test-env - pytest --cov pya/ + - uses: actions/checkout@v5 + - uses: astral-sh/setup-uv@v8.1.0 + - name: Retrieve pre-built distribution files + uses: actions/download-artifact@v4 + with: {name: python-distribution-files, path: dist/} + - name: Publish Package + env: + # TODO: Set your PYPI_TOKEN as a secret using GitHub UI + # - https://pypi.org/help/#apitoken + # - https://docs.github.com/en/actions/security-guides/encrypted-secrets + UV_PUBLISH_URL: https://upload.pypi.org/legacy/ + UV_PUBLISH_USERNAME: __token__ + UV_PUBLISH_PASSWORD: ${{ secrets.PYPI_TOKEN }} + run: uv run tox -e publish diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000..76d97eb9 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,37 @@ +exclude: '^docs/conf.py|^uv\.lock$' + +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.4.0 + hooks: + - id: check-added-large-files + exclude: uv.lock + - id: check-ast + - id: check-json + - id: check-merge-conflict + - id: check-xml + - id: check-yaml + - id: end-of-file-fixer + exclude: "uv.lock" + - id: mixed-line-ending + exclude: "uv.lock" + args: ['--fix=auto'] # replace 'auto' with 'lf' to enforce Linux/Mac line endings or 'crlf' for Windows + +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.9.0 # check latest + hooks: + - id: ruff # replaces isort + flake8 + args: [--fix] # auto-fix where possible + - id: ruff-format # replaces black + +- repo: https://github.com/kynan/nbstripout + rev: 0.8.1 + hooks: + - id: nbstripout + args: [--extra-keys=metadata.kernelspec metadata.language_info] + + +- repo: https://github.com/astral-sh/uv-pre-commit + rev: 0.6.0 # check latest + hooks: + - id: uv-lock # updates uv.lock when pyproject.toml changes diff --git a/Changelog.md b/Changelog.md index dd49c6a7..c2b263a6 100644 --- a/Changelog.md +++ b/Changelog.md @@ -1,5 +1,12 @@ # Changelog +## 0.6.0 +* changed project management and build system to use `uv`. Most of the configuration is now gathered in the `pyproject.toml`. +* added pre-commit hooks and executed a lot of internal "form" refactoring to modern ruff standards (imports, documentation) +* updated the github CI/CD pipelines to execute matrix testing for Ubuntu, MacOS and Windows + + + ## 0.5.2 (Nov 2023) * #82, `pyaudio` is now optional: If you plan to use `PyAudioBackend`, install `pya` with `pip install pya[pyaudio]`. * Fix audio device bug @@ -86,4 +93,3 @@ ## 0.2 (August 2019) * First official PyPI release - diff --git a/MANIFEST.in b/MANIFEST.in deleted file mode 100644 index 740025af..00000000 --- a/MANIFEST.in +++ /dev/null @@ -1,30 +0,0 @@ -include *.md -include *.txt -include *.yml -include .coveragerc -include .pylintrc -include LICENSE -include MANIFEST -include tox.ini -include binder/environment.yml -include binder/postBuild -include dev/generate_doc - -recursive-include docs Makefile -recursive-include docs *.bat -recursive-include docs *.html -recursive-include docs *.py -recursive-include docs *.rst - -recursive-include examples *.aif -recursive-include examples *.ipynb -recursive-include examples *.mp3 -recursive-include examples *.py -recursive-include examples *.wav -recursive-exclude examples .ipynb_checkpoints/*.ipynb - -recursive-include tests *.py -recursive-include pya *.py -recursive-include dev *.md -recursive-include dev *.py -recursive-include ci *.yml diff --git a/README.md b/README.md index 2374d45d..5ce717c6 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,13 @@ [![PyPI](https://img.shields.io/pypi/v/pya.svg)](https://pypi.org/project/pya) -[![License](https://img.shields.io/github/license/interactive-sonification/pya.svg)](LICENSE) +[![License](https://img.shields.io/github/license/interactive-sonification/pya.svg)](../LICENSE) # pya -|Branch|`master`|`develop`| + + +|Branch|`main`|`develop`| |------:|--------:|---------:| -|[CI-Linux/MacOS](https://github.com/interactive-sonification/pya/actions/workflows/pya-ci.yaml) | [![Build Status Master](https://github.com/interactive-sonification/pya/actions/workflows/pya-ci.yaml/badge.svg?branch=master)](https://github.com/interactive-sonification/pya/actions/workflows/pya-ci.yaml?query=branch%3Amaster) | [![Build Status Develop](https://github.com/interactive-sonification/pya/actions/workflows/pya-ci.yaml/badge.svg?branch=develop)](https://github.com/interactive-sonification/pya/actions/workflows/pya-ci.yaml?query=branch%3Adevelop) | -|[CI-Windows](https://ci.appveyor.com/project/aleneum/pya-b7gkx/)| ![Build status AppVeyor](https://ci.appveyor.com/api/projects/status/vn61qeri0uyxeedv/branch/master?svg=true) | ![Build status AppVeyor](https://ci.appveyor.com/api/projects/status/vn61qeri0uyxeedv/branch/develop?svg=true) | |Changes|[![GitHub commits](https://img.shields.io/github/commits-since/interactive-sonification/pya/v0.5.0/master.svg)](https://github.com/interactive-sonification/pya/compare/v0.5.0...master) | [![GitHub commits](https://img.shields.io/github/commits-since/interactive-sonification/pya/v0.5.0/develop.svg)](https://github.com/interactive-sonification/pya/compare/v0.5.0...develop) | |Binder|[![Master Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/interactive-sonification/pya/master?filepath=examples%2Fpya-examples.ipynb) | [![Develop Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/interactive-sonification/pya/develop?filepath=examples%2Fpya-examples.ipynb) | @@ -40,9 +41,14 @@ At this time pya is more suitable for offline rendering than realtime. ## Authors and Contributors -* [Thomas](https://github.com/thomas-hermann) (author, maintainer) -* [Jiajun](https://github.com/wiccy46) (co-author, maintainer) -* [Alexander](https://github.com/aleneum) (maintainer) +* [Thomas Hermann](https://github.com/thomas-hermann) (author, maintainer) +* [Jiajun Yang](https://github.com/wiccy46) (co-author, maintainer) +* [Alexander Neumann](https://github.com/aleneum) (maintainer) + +* [Luka Born]() (Contributor) +* [Jannis Müller]() (Contributor) +* [Fabian Hommel]() (Maintainer) + * Contributors will be acknowledged here, contributions are welcome. ## Installation @@ -269,4 +275,4 @@ ch.setLevel(logging.INFO) formatter = logging.Formatter('%(name)s - %(levelname)s - %(message)s') ch.setFormatter(formatter) logger.addHandler(ch) -``` \ No newline at end of file +``` diff --git a/appveyor.yml b/appveyor.yml deleted file mode 100644 index c6b94ef3..00000000 --- a/appveyor.yml +++ /dev/null @@ -1,30 +0,0 @@ -# no dedicated build phase needed so far -build: false -version: "0.3.2-{build}" - -branches: - only: - - master - - develop - - dev-appveyor - -environment: - matrix: - - PYTHON_VERSION: 3.10 - MINICONDA: C:\Miniconda3-x64 - -init: - - "ECHO %PYTHON_VERSION% %MINICONDA%" - -install: - - "set PATH=%MINICONDA%;%MINICONDA%\\Scripts;%MINICONDA%\\Library\\bin;%PATH%" - - conda config --set always_yes yes --set 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+DA:138,0 +DA:139,0 +DA:140,0 +DA:141,0 +DA:142,0 +DA:143,0 +DA:146,1 +DA:147,0 +DA:148,0 +DA:149,0 +DA:150,0 +DA:151,0 +DA:155,0 +DA:156,0 +DA:159,1 +DA:181,1 +DA:182,1 +DA:183,1 +DA:184,1 +DA:185,1 +DA:188,1 +DA:189,1 +DA:193,0 +DA:198,1 +DA:200,1 +DA:203,1 +DA:217,1 +DA:218,1 +DA:219,1 +DA:222,1 +DA:224,1 +DA:231,1 +DA:232,1 +DA:233,1 +DA:234,1 +DA:237,1 +DA:259,1 +DA:260,1 +DA:261,1 +DA:262,1 +DA:263,0 +DA:265,1 +DA:266,1 +DA:267,1 +DA:269,1 +DA:270,1 +DA:271,1 +DA:273,1 +DA:274,1 +DA:276,0 +DA:282,0 +DA:283,0 +DA:284,0 +DA:285,0 +DA:287,0 +DA:288,0 +DA:289,1 +DA:292,1 +DA:309,1 +DA:310,1 +DA:314,1 +DA:315,1 +DA:318,1 +DA:335,1 +LF:114 +LH:66 +FN:30,61,spectrum +FNDA:1,spectrum +FN:64,69,normalize +FNDA:1,normalize +FN:72,88,audio_from_file +FNDA:0,audio_from_file +FN:91,116,buf_to_float +FNDA:0,buf_to_float +FN:119,126,_try_initializing_pyaudio +FNDA:0,_try_initializing_pyaudio +FN:129,143,device_info +FNDA:0,device_info +FN:146,156,find_device +FNDA:0,find_device +FN:159,195,padding +FNDA:1,padding +FN:198,200,is_pow2 +FNDA:1,is_pow2 +FN:203,219,next_pow2 +FNDA:1,next_pow2 +FN:222,228,round_half_up +FNDA:1,round_half_up +FN:231,234,rolling_window +FNDA:1,rolling_window +FN:237,289,signal_to_frame +FNDA:1,signal_to_frame +FN:292,315,magspec +FNDA:1,magspec +FN:318,335,powspec +FNDA:1,powspec +FNF:15 +FNH:10 +end_of_record +SF:pya/helper/visualization.py +DA:1,1 +DA:3,1 +DA:5,1 +DA:6,1 +DA:7,1 +DA:8,1 +DA:10,1 +DA:13,1 +DA:47,1 +DA:48,1 +DA:53,1 +DA:54,1 +DA:56,1 +DA:58,1 +DA:61,1 +DA:62,1 +DA:64,1 +DA:65,1 +DA:66,1 +DA:67,1 +DA:68,1 +DA:69,1 +DA:70,0 +DA:71,0 +DA:72,0 +DA:79,0 +DA:80,0 +DA:81,0 +DA:82,1 +DA:83,1 +DA:84,1 +DA:85,1 +DA:86,1 +DA:88,1 +DA:89,1 +DA:90,1 +DA:91,1 +DA:92,1 +DA:95,1 +DA:129,1 +DA:131,1 +DA:133,1 +DA:134,1 +DA:135,1 +DA:136,1 +DA:138,1 +DA:140,1 +DA:141,1 +DA:143,1 +DA:144,1 +DA:145,1 +DA:146,1 +DA:147,1 +DA:149,1 +DA:150,1 +DA:152,1 +DA:153,1 +DA:154,1 +DA:155,1 +DA:156,1 +DA:157,1 +DA:159,1 +DA:165,1 +DA:166,1 +DA:167,1 +DA:168,1 +DA:169,1 +DA:170,1 +DA:171,1 +DA:172,1 +DA:173,1 +DA:174,1 +DA:175,1 +DA:176,1 +DA:177,1 +DA:178,1 +DA:179,1 +LF:77 +LH:71 +FN:13,92,basicplot +FNDA:1,basicplot +FN:95,179,gridplot +FNDA:1,gridplot +FNF:2 +FNH:2 +end_of_record +SF:pya/ugen.py +DA:1,1 +DA:3,1 +DA:4,1 +DA:6,1 +DA:7,1 +DA:10,1 +DA:18,1 +DA:19,1 +DA:20,1 +DA:21,1 +DA:22,1 +DA:23,1 +DA:25,1 +DA:30,1 +DA:49,1 +DA:50,1 +DA:52,1 +DA:91,1 +DA:92,1 +DA:95,1 +DA:96,1 +DA:97,1 +DA:98,1 +DA:100,1 +DA:139,1 +DA:140,1 +DA:143,1 +DA:144,1 +DA:145,1 +DA:146,1 +DA:148,1 +DA:191,1 +DA:192,1 +DA:202,1 +DA:203,1 +DA:204,1 +DA:205,1 +DA:207,1 +DA:249,1 +DA:250,1 +DA:254,1 +DA:255,1 +DA:256,1 +DA:257,1 +DA:259,1 +DA:299,1 +DA:301,1 +DA:302,1 +DA:304,1 +DA:306,1 +DA:307,1 +DA:308,1 +DA:309,1 +DA:310,1 +DA:311,1 +DA:312,1 +DA:313,1 +DA:314,1 +DA:315,1 +DA:316,1 +DA:317,1 +DA:318,1 +DA:319,1 +DA:320,1 +DA:321,1 +DA:322,1 +LF:66 +LH:66 +FN:10,27,get_num_of_rows +FNDA:1,get_num_of_rows +FN:49,50,Ugen.__init__ +FNDA:1,Ugen.__init__ +FN:52,98,Ugen.sine +FNDA:1,Ugen.sine +FN:100,146,Ugen.cos +FNDA:1,Ugen.cos +FN:148,205,Ugen.square +FNDA:1,Ugen.square +FN:207,257,Ugen.sawtooth +FNDA:1,Ugen.sawtooth +FN:259,322,Ugen.noise +FNDA:1,Ugen.noise +FNF:7 +FNH:7 +end_of_record +SF:pya/version.py +DA:1,1 +LF:1 +LH:1 +end_of_record diff --git a/dev/generate_doc b/dev/generate_doc index 6ae18af4..07680d5c 100755 --- a/dev/generate_doc +++ b/dev/generate_doc @@ -1,12 +1,12 @@ #!/usr/bin/env python import argparse -import sys -import os -import subprocess +import os import shutil +import subprocess +import sys +from os.path import basename, dirname, exists from sys import platform -from os.path import exists, dirname, basename SILENCE = "> /dev/null 2>&1" @@ -14,19 +14,41 @@ SILENCE = "> /dev/null 2>&1" # you usually want to run: # python dev/generate_doc --doctree --publish --clean --no-show + def generate(): - git_root = subprocess.check_output(f'git -C {dirname(__file__)} rev-parse --show-toplevel'.split(' ')) - git_root = str(git_root, 'utf-8').strip() + git_root = subprocess.check_output( + f"git -C {dirname(__file__)} rev-parse --show-toplevel".split(" ") + ) + git_root = str(git_root, "utf-8").strip() parser = argparse.ArgumentParser(description="Generates Sphinx documentation") - parser.add_argument('--doctree', action='store_true', help='build complete doctree') - parser.add_argument('--publish', action='store_true', help='build and publish doctree') - parser.add_argument('--no-show', action='store_true', help='do not open browser after build') - parser.add_argument('--branches', nargs='*', default=['master', 'develop'], help='limit doctree to these branches') - parser.add_argument('--tags', nargs='*', default=False, help='limit doctree to these tags') - parser.add_argument('--input', default=f"{git_root}/docs", help='input folder (ignored for doctree)') - parser.add_argument('--out', default=f"{git_root}/build", help='output folder') - parser.add_argument('--template-folder', default=f"{git_root}/docs/_templates", help="templates used for doctree") - parser.add_argument('--clean', action='store_true', help="removes out folder before building doc") + parser.add_argument("--doctree", action="store_true", help="build complete doctree") + parser.add_argument( + "--publish", action="store_true", help="build and publish doctree" + ) + parser.add_argument( + "--no-show", action="store_true", help="do not open browser after build" + ) + parser.add_argument( + "--branches", + nargs="*", + default=["master", "develop"], + help="limit doctree to these branches", + ) + parser.add_argument( + "--tags", nargs="*", default=False, help="limit doctree to these tags" + ) + parser.add_argument( + "--input", default=f"{git_root}/docs", help="input folder (ignored for doctree)" + ) + parser.add_argument("--out", default=f"{git_root}/build", help="output folder") + parser.add_argument( + "--template-folder", + default=f"{git_root}/docs/_templates", + help="templates used for doctree", + ) + parser.add_argument( + "--clean", action="store_true", help="removes out folder before building doc" + ) args = parser.parse_args() args.doctree = args.doctree if not args.publish else True if args.clean and exists(args.out): @@ -35,39 +57,60 @@ def generate(): if not args.doctree: generate_local(doc=args.input, out=args.out, show=not args.no_show) else: - generate_tree(out_folder=args.out, publish=args.publish, branches=args.branches, - tags=args.tags, template_folder=args.template_folder, show=not args.no_show) - - -def generate_local(doc, out, show, target='html'): - os.system(f'sphinx-build -b {target} {doc} {out}/{target}') + generate_tree( + out_folder=args.out, + publish=args.publish, + branches=args.branches, + tags=args.tags, + template_folder=args.template_folder, + show=not args.no_show, + ) + + +def generate_local(doc, out, show, target="html"): + os.system(f"sphinx-build -b {target} {doc} {out}/{target}") if show: - url = f'{out}/{target}/index.{target}' - if platform == 'darwin': - os.system(f'open {url}') - elif platform == 'win32': + url = f"{out}/{target}/index.{target}" + if platform == "darwin": + os.system(f"open {url}") + elif platform == "win32": os.startfile(url) else: raise NotImplementedError("'show' is not available for your platform") -def generate_tree(out_folder, publish=False, branches=['master', 'develop'], tags=None, template_folder=None, show=False): +def generate_tree( + out_folder, + publish=False, + branches=["master", "develop"], + tags=None, + template_folder=None, + show=False, +): doctree_root = f"{out_folder}/doctree/pya" build_folder = f"{out_folder}/tmp" os.makedirs(build_folder, exist_ok=True) if not exists(doctree_root): - os.system(f'git clone https://github.com/interactive-sonification/pya.git {doctree_root}') + os.system( + f"git clone https://github.com/interactive-sonification/pya.git {doctree_root}" + ) else: # os.system(f'git -C {doctree_root} fetch --all') - os.system(f'git -C {doctree_root} pull --all') + os.system(f"git -C {doctree_root} pull --all") if tags is False: - out = subprocess.check_output(f"git -C {doctree_root} show-ref --tags -d".split(' ')) - tags = [str(line.split(b' ')[1].split(b'/')[2], 'utf-8') for line in out.split(b'\n')[::-1] if len(line)] + out = subprocess.check_output( + f"git -C {doctree_root} show-ref --tags -d".split(" ") + ) + tags = [ + str(line.split(b" ")[1].split(b"/")[2], "utf-8") + for line in out.split(b"\n")[::-1] + if len(line) + ] # first, check which documentation to generate branches = [b for b in branches if _has_docs(b, doctree_root)] - tags = [t for t in tags if _has_docs('tags/' + t, doctree_root)] + tags = [t for t in tags if _has_docs("tags/" + t, doctree_root)] print(f"Will generate documentation for:\nBranches: {branches}\nTags: {tags}") # fix order of dropdown elements (most recent tag first, then branches and older tags) @@ -76,28 +119,37 @@ def generate_tree(out_folder, publish=False, branches=['master', 'develop'], tag # generate documentation; all versions have to be known for the dropdown menu for d in doclist: print(f"Generating documentation for {d} ...") - target = d if d in branches else 'tags/' + d - res = os.system(f'git -C {doctree_root} checkout {target} -f' + SILENCE) + target = d if d in branches else "tags/" + d + res = os.system(f"git -C {doctree_root} checkout {target} -f" + SILENCE) if res != 0: - raise RuntimeError(f'Could not checkout {d}. Git returned status code {res}!') - os.system(f'cp {template_folder}/../conf.py {doctree_root}/docs/') + raise RuntimeError( + f"Could not checkout {d}. Git returned status code {res}!" + ) + os.system(f"cp {template_folder}/../conf.py {doctree_root}/docs/") if template_folder: - os.system(f'cp {template_folder}/* {doctree_root}/docs/_templates') + os.system(f"cp {template_folder}/* {doctree_root}/docs/_templates") # override index and config for versions older than 0.5.0 - if d[0] == 'v' and d[1] == '0' and int(d[3]) < 5: - os.system(f'cp {template_folder}/../conf.py {template_folder}/../index.rst {doctree_root}/docs') + if d[0] == "v" and d[1] == "0" and int(d[3]) < 5: + os.system( + f"cp {template_folder}/../conf.py {template_folder}/../index.rst {doctree_root}/docs" + ) # PYTHONDONTWRITEBYTECODE=1 prevents __pycache__ files which we don't need when code runs only once. - call = f'PYTHONDONTWRITEBYTECODE=1 sphinx-build -b html -D version={d} -A versions={",".join(doclist)} {doctree_root}/docs {build_folder}/{d}' + SILENCE + call = ( + f"PYTHONDONTWRITEBYTECODE=1 sphinx-build -b html -D version={d} -A versions={','.join(doclist)} {doctree_root}/docs {build_folder}/{d}" + + SILENCE + ) print(call) res = os.system(call) if res != 0: - raise RuntimeError(f'Could not generate documentation for {d}. Sphinx returned status code {res}!') + raise RuntimeError( + f"Could not generate documentation for {d}. Sphinx returned status code {res}!" + ) # create index html to forward to last tagged version if doclist: - with open(f'{build_folder}/index.html', 'w') as fp: + with open(f"{build_folder}/index.html", "w") as fp: fp.write(f""" @@ -108,48 +160,53 @@ def generate_tree(out_folder, publish=False, branches=['master', 'develop'], tag # prepare gh-pages print("Merging documentation...") - os.system(f'git -C {doctree_root} checkout gh-pages -f' + SILENCE) - os.system(f'cp -r {build_folder}/* {doctree_root}') + os.system(f"git -C {doctree_root} checkout gh-pages -f" + SILENCE) + os.system(f"cp -r {build_folder}/* {doctree_root}") print("Current differences in 'gh-branch':") - os.system(f'git -C {doctree_root} status') + os.system(f"git -C {doctree_root} status") print(f"Documentation tree has been written to {doctree_root}") # commit and push changes when publish has been passed if publish: - os.system(f'git -C {doctree_root} add -A') + os.system(f"git -C {doctree_root} add -A") os.system(f'git -C {doctree_root} commit -a -m "update doctree"') - os.system(f'git -C {doctree_root} push') + os.system(f"git -C {doctree_root} push") if show: _run_webserver(doctree_root) + def _has_docs(name, doctree_root): - os.system(f'git -C {doctree_root} checkout {name}' + SILENCE) - return exists(f'{doctree_root}/docs') + os.system(f"git -C {doctree_root} checkout {name}" + SILENCE) + return exists(f"{doctree_root}/docs") + def _run_webserver(root): - import threading - import time import http.server import socketserver + import threading + import time def _delayed_open(): - url = f'http://localhost:8181/{basename(root)}/index.html' + url = f"http://localhost:8181/{basename(root)}/index.html" time.sleep(0.2) - if sys.platform == 'darwin': - os.system(f'open {url}') - elif sys.platform == 'win32': + if sys.platform == "darwin": + os.system(f"open {url}") + elif sys.platform == "win32": os.startfile(url) else: raise NotImplementedError("'show' is not available for your platform") t = threading.Thread(target=_delayed_open) t.start() + class Handler(http.server.SimpleHTTPRequestHandler): def __init__(self, *args, **kwargs): - super().__init__(*args, directory=root + '/../', **kwargs) + super().__init__(*args, directory=root + "/../", **kwargs) + def log_message(self, format, *args): pass + socketserver.TCPServer.allow_reuse_address = True with socketserver.TCPServer(("", 8181), Handler) as httpd: try: diff --git a/docs/_autosummary/pya.amfcc.rst b/docs/_autosummary/pya.amfcc.rst new file mode 100644 index 00000000..8183fafb --- /dev/null +++ b/docs/_autosummary/pya.amfcc.rst @@ -0,0 +1,26 @@ +pya.amfcc +========= + +.. automodule:: pya.amfcc + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + Amfcc + + + + + + diff --git a/docs/_autosummary/pya.arecorder.rst b/docs/_autosummary/pya.arecorder.rst new file mode 100644 index 00000000..263fc55f --- /dev/null +++ b/docs/_autosummary/pya.arecorder.rst @@ -0,0 +1,26 @@ +pya.arecorder +============= + +.. automodule:: pya.arecorder + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + Arecorder + + + + + + diff --git a/docs/_autosummary/pya.aserver.rst b/docs/_autosummary/pya.aserver.rst new file mode 100644 index 00000000..9509f076 --- /dev/null +++ b/docs/_autosummary/pya.aserver.rst @@ -0,0 +1,26 @@ +pya.aserver +=========== + +.. automodule:: pya.aserver + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + Aserver + + + + + + diff --git a/docs/_autosummary/pya.asig.rst b/docs/_autosummary/pya.asig.rst new file mode 100644 index 00000000..fa46fd36 --- /dev/null +++ b/docs/_autosummary/pya.asig.rst @@ -0,0 +1,26 @@ +pya.asig +======== + +.. automodule:: pya.asig + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + Asig + + + + + + diff --git a/docs/_autosummary/pya.aspec.rst b/docs/_autosummary/pya.aspec.rst new file mode 100644 index 00000000..a1c9e217 --- /dev/null +++ b/docs/_autosummary/pya.aspec.rst @@ -0,0 +1,26 @@ +pya.aspec +========= + +.. automodule:: pya.aspec + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + Aspec + + + + + + diff --git a/docs/_autosummary/pya.astft.rst b/docs/_autosummary/pya.astft.rst new file mode 100644 index 00000000..5aacb4f9 --- /dev/null +++ b/docs/_autosummary/pya.astft.rst @@ -0,0 +1,26 @@ +pya.astft +========= + +.. automodule:: pya.astft + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + Astft + + + + + + diff --git a/docs/_autosummary/pya.backend.Dummy.rst b/docs/_autosummary/pya.backend.Dummy.rst new file mode 100644 index 00000000..08963929 --- /dev/null +++ b/docs/_autosummary/pya.backend.Dummy.rst @@ -0,0 +1,27 @@ +pya.backend.Dummy +================= + +.. automodule:: pya.backend.Dummy + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + DummyBackend + DummyStream + + + + + + diff --git a/docs/_autosummary/pya.backend.base.rst b/docs/_autosummary/pya.backend.base.rst new file mode 100644 index 00000000..899d98af --- /dev/null +++ b/docs/_autosummary/pya.backend.base.rst @@ -0,0 +1,27 @@ +pya.backend.base +================ + +.. automodule:: pya.backend.base + + + + + + + + + + + + .. rubric:: Classes + + .. autosummary:: + + BackendBase + StreamBase + + + + + + diff --git a/docs/_autosummary/pya.backend.rst b/docs/_autosummary/pya.backend.rst new file mode 100644 index 00000000..00e396c3 --- /dev/null +++ b/docs/_autosummary/pya.backend.rst @@ -0,0 +1,29 @@ +pya.backend +=========== + +.. automodule:: pya.backend + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + determine_backend + get_server_info + try_jupyter_backend + try_pyaudio_backend + + + + + + + + + + diff --git a/docs/_autosummary/pya.helper.backend.rst b/docs/_autosummary/pya.helper.backend.rst new file mode 100644 index 00000000..f9ac5e11 --- /dev/null +++ b/docs/_autosummary/pya.helper.backend.rst @@ -0,0 +1,29 @@ +pya.helper.backend +================== + +.. automodule:: pya.helper.backend + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + determine_backend + get_server_info + try_jupyter_backend + try_pyaudio_backend + + + + + + + + + + diff --git a/docs/_autosummary/pya.helper.codec.rst b/docs/_autosummary/pya.helper.codec.rst new file mode 100644 index 00000000..1f9cb354 --- /dev/null +++ b/docs/_autosummary/pya.helper.codec.rst @@ -0,0 +1,51 @@ +pya.helper.codec +================ + +.. automodule:: pya.helper.codec + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + audio_read + ffmpeg_available + popen_multiple + + + + + + .. rubric:: Classes + + .. autosummary:: + + BaseAudioFile + FFmpegAudioFile + QueueReaderThread + SoundFileAudioFile + + + + + + .. rubric:: Exceptions + + .. autosummary:: + + BitWidthError + CommunicationError + DecodeError + FFmpegError + FFmpegNotInstalledError + FFmpegReadTimeoutError + NoBackendError + NoFileError + UnsupportedError + + diff --git a/docs/_autosummary/pya.helper.helpers.rst b/docs/_autosummary/pya.helper.helpers.rst new file mode 100644 index 00000000..85eb4ea3 --- /dev/null +++ b/docs/_autosummary/pya.helper.helpers.rst @@ -0,0 +1,39 @@ +pya.helper.helpers +================== + +.. automodule:: pya.helper.helpers + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + audio_from_file + buf_to_float + device_info + find_device + is_pow2 + magspec + next_pow2 + normalize + padding + powspec + rolling_window + round_half_up + signal_to_frame + spectrum + + + + + + + + + + diff --git a/docs/_autosummary/pya.helper.rst b/docs/_autosummary/pya.helper.rst new file mode 100644 index 00000000..32e92b39 --- /dev/null +++ b/docs/_autosummary/pya.helper.rst @@ -0,0 +1,33 @@ +pya.helper +========== + +.. automodule:: pya.helper + + + + + + + + + + + + + + + + + + + +.. rubric:: Modules + +.. autosummary:: + :toctree: + :recursive: + + pya.helper.backend + pya.helper.codec + pya.helper.helpers + pya.helper.visualization diff --git a/docs/_autosummary/pya.helper.visualization.rst b/docs/_autosummary/pya.helper.visualization.rst new file mode 100644 index 00000000..73bc171e --- /dev/null +++ b/docs/_autosummary/pya.helper.visualization.rst @@ -0,0 +1,27 @@ +pya.helper.visualization +======================== + +.. automodule:: pya.helper.visualization + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + basicplot + gridplot + + + + + + + + + + diff --git a/docs/_autosummary/pya.rst b/docs/_autosummary/pya.rst new file mode 100644 index 00000000..aa599b55 --- /dev/null +++ b/docs/_autosummary/pya.rst @@ -0,0 +1,46 @@ +pya +=== + +.. automodule:: pya + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + shutdown + startup + + + + + + + + + + + + + +.. rubric:: Modules + +.. autosummary:: + :toctree: + :recursive: + + pya.amfcc + pya.arecorder + pya.aserver + pya.asig + pya.aspec + pya.astft + pya.backend + pya.helper + pya.ugen + pya.version diff --git a/docs/_autosummary/pya.ugen.rst b/docs/_autosummary/pya.ugen.rst new file mode 100644 index 00000000..ecf8966a --- /dev/null +++ b/docs/_autosummary/pya.ugen.rst @@ -0,0 +1,32 @@ +pya.ugen +======== + +.. automodule:: pya.ugen + + + + + + + + .. rubric:: Functions + + .. autosummary:: + + get_num_of_rows + + + + + + .. rubric:: Classes + + .. autosummary:: + + Ugen + + + + + + diff --git a/docs/_autosummary/pya.version.rst b/docs/_autosummary/pya.version.rst new file mode 100644 index 00000000..79dcd917 --- /dev/null +++ b/docs/_autosummary/pya.version.rst @@ -0,0 +1,20 @@ +pya.version +=========== + +.. automodule:: pya.version + + + + + + + + + + + + + + + + diff --git a/docs/api.rst b/docs/api.rst new file mode 100644 index 00000000..f6eec178 --- /dev/null +++ b/docs/api.rst @@ -0,0 +1,8 @@ +API Reference +============= + +.. autosummary:: + :toctree: _autosummary + :recursive: + + pya diff --git a/docs/conf.py b/docs/conf.py index b760e30b..d9a8f9f6 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -30,17 +30,31 @@ # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. -extensions = ['sphinx.ext.napoleon', - 'sphinx_mdinclude', - 'autoapi.extension'] +extensions = [ + 'sphinx.ext.napoleon', + 'sphinx.ext.autodoc', + 'sphinx.ext.autosummary', + 'myst_parser', +] + +# Napoleon settings +napoleon_numpy_docstring = True +napoleon_google_docstring = False + +# Autodoc settings +autodoc_default_options = { + 'members': True, + 'undoc-members': True, + 'show-inheritance': True, +} source_suffix = ['.rst', '.md'] -autoapi_type = 'python' -autoapi_dirs = ['../pya'] -autoapi_ignore = ['*/version.py'] -autoapi_add_toctree_entry = False + autosectionlabel_prefix_document = True +# Autosummary settings +autosummary_generate = True # auto-generates stub RST files + # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] @@ -61,11 +75,3 @@ # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = [] - - -def setup(app): - config = { - # 'url_resolver': lambda url: github_doc_root + url, - 'auto_toc_tree_section': 'Contents', - 'enable_eval_rst': True, - } diff --git a/docs/index.rst b/docs/index.rst index e56f79ce..1b7ac1af 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,12 +1,13 @@ .. toctree:: :maxdepth: 2 -.. mdinclude:: ../README.md + readme + api Indices and tables ================== -* :doc:`API Reference ` +* :doc:`API Reference ` * :ref:`genindex` * :ref:`modindex` * :ref:`search` diff --git a/docs/readme.rst b/docs/readme.rst new file mode 100644 index 00000000..339dc8f4 --- /dev/null +++ b/docs/readme.rst @@ -0,0 +1,2 @@ +.. include:: ../README.md + :parser: myst_parser.sphinx_ diff --git a/examples/pya-example-Amfcc.ipynb b/examples/pya-example-Amfcc.ipynb index b71d0dd3..e511040f 100644 --- a/examples/pya-example-Amfcc.ipynb +++ b/examples/pya-example-Amfcc.ipynb @@ -11,95 +11,44 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# This part only makes sure that the repository version of pya is used for this notebook ...\n", - "import os, sys, inspect, io\n", + "import inspect\n", + "import os\n", + "import sys\n", "\n", "cmd_folder = os.path.realpath(\n", " os.path.dirname(\n", - " os.path.abspath(os.path.split(inspect.getfile( inspect.currentframe() ))[0])))\n", + " os.path.abspath(os.path.split(inspect.getfile(inspect.currentframe()))[0])\n", + " )\n", + ")\n", "\n", "if cmd_folder not in sys.path:\n", " sys.path.insert(0, cmd_folder)\n", "\n", "# ... the part relevant for pya usage starts here\n", - "from pya import Asig, Amfcc" + "from pya import Asig" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Asig('word'): 1 x 87040 @ 44100Hz = 1.974s cn=['0']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Load a sample audio\n", - "aword = Asig(\"samples/sonification.wav\", label='word')\n", + "aword = Asig(\"samples/sonification.wav\", label=\"word\")\n", "aword.plot()" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ -9.17548107 -15.13285146 5.73257773 ... -3.2166908 -10.76164443\n", - " 1.32956441]\n", - " [ -9.14692637 -16.17379626 5.54862945 ... -7.32108897 -11.65220551\n", - " -0.88169502]\n", - " [ -9.18433397 -13.87876107 6.81787026 ... 2.94985548 -14.60185015\n", - " -4.87923131]\n", - " ...\n", - " [ -9.07456594 -15.13518397 11.04234605 ... -1.4942507 -5.81623361\n", - " -1.79442066]\n", - " [ -9.03225387 -13.53938344 11.99418285 ... 4.10384531 1.00526457\n", - " 1.34213652]\n", - " [ -9.28960578 -14.93989893 8.99820526 ... -1.09119139 -10.48636787\n", - " 3.15961457]]\n" - ] - }, - { - "data": { - "image/png": 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hCObE3GASKhIHtlxYKidhK80w3mIjy6N/adE/nzh6KwA7izWWmhZQNFqwMJKn5ssMZC2t6slPvhWAc9Us4yULRymH8JNypsnOXgsuicNhwAKTAM4uWTBKId1iX6/V8uptdt9fWrzoNQDTi71JuE05a/M6U+mjFoa9ULGAnIzAuWVb3pl6AYC0FLhQs5rftK0VhsH+ci3UbyEzxYyyGMJ+vn5qLwA7Sos8NWEBQWeWbB5H5/s5tWivedmg1XxgcJIXQsBSOYQMnais1PyPv/GjAIwVl9nVbzuSX//St9n9VI6putW1FFn7VahSVJvHaNaW40KjSlbC+sjZc/Uo4njTAm8k7MgOPzjOY6nHALi19ToAmkR8y5C1+UsHKkm7zoV2LoY27SsvJqE7i1Wb79FzO5gMgUbDBQtGalxI85rbngLgsUn7P+bL53PMN4cB2FmwdhwpwEDOlu2Zeav97uEUxyorbV5asBSfibAeziynGSvYO3q8ZIFBj88MJq/vzVqQ0mBOObVkjwdCYFRPpsW5Jas1G8KXIhUaYdufDDk8L1RKnA3rc1cIB+oNbQCwP4QNnV3s5faR89YeCz1heilqIVhsILyPzkyMotg8Js5Ze+TSTWbmbdkyaWuDvlydCzN2KvL4nG0vtwxdIB3X2rJ1GEUpMil7zVPTFri1N0qTCuNNzA9Y+/bMJyFdZ2dseueXyowPTl0032aU4tyczXd7CGQ6MzfI3mELMIqDmZYbOZ4+Nw7AfNgO9qjwwll7D+wanQDg6Nnx5D38ml0WLLXUyLEQ2j52YbGXnWF+leViGC9PIYRbxcFrLU0h2Pv2mTlbtvzRg5TzVtdizbbFiaWeZD3FAUl7tp+j2bLpVEJQViXKc2zWtsXx3ksDlIDuOfrU1pVmep8XkR0A4X7iciOq6r2qelhVD5dTxSucnXPO3eDUkiXb3brFlXYYnwTeGx6/F/jE5pTjnHM3sev9HIaI/AnwRmBERE4Bvwj8CvBREXkfcAL4oatZpHPO3fAUtHml/8NvjXU7DFV992WeevMm1+KcczcxgS46/NSO/9LbOee6hXqH4Zxzbj3hpHc38w7DOee6RXSdn8Nwzjm3BVTQlncYzjnnOuF7GM4559ajfg7DOedcZ/xrtc455zqk/rVa55xz61L8HIZzzrlOSHJV4G7lHYZzznWD62APo7urc865m8iVXt5cRHaLyBdE5IiIPCEiPx2GD4nIZ0Xk2XA/uJH6RHXrEjtu7xnU37nzOwHYPTpBM4QCDQyFUJiz29g2ZsEpSajS5HASQvKPp3cD8P+dVaKQNPLGUQvaaUZCHH0bB+OUMy0qDZvHgd4FwAJR8iG8pRamO1xYYnzYwl7+7tgtALxi2xnuvPthALJ9FmQT1VbCk3J7LHxFSmmiObv+cP20rYuzRw5SXbZglTPTFpayZ+x8srzTC70AjA3O0AhBQXEATSYEPQE8EcKShoqLtOJAphBQM1ZcIh/CXnpCmEutmeX8ok37jm1nrPZsk8UQyBNPY7LSx94RizD5rQcPATDfUMZL1uZjBWufaitFtSXheUL7wUJ4/JL+KGn781Ubr2BNymwd8uFxnGG/3Fy5UnMutTK9CzWb4JLa/a58iem6PS6lbSJzrQallLXfrb027MRihIRwoJ2h9qkqvHbUgmyOLljQTq0FA/aQPSGcKgXkwnYQh1M1IyGftgp3lyu0NBWmaeuyEaWSIK6B0OZjPfM8N2NBQnEw0r7BSabDeojDdEb65phftGCfwb55W/ZWmmwItXripK3rA6PnmV20QKTxMVtHo3tPU52z6S3Nh2nsOk+mYMu5cNbm37/nHFHY3ivnbLtrNdO0wvKVBhaIZULw2Jmj+wAolxfJhFpmp207PnD3o8yfsICi4qDVLOkWM2HYdBivkK8xssNqnZ20sKSBsankR2i1sP3Nz/UxNDJ10fQWpwZo1GzlDO8/DcCJx29j5y3HAdAQlNZYzjN53gKg4mn0bJ+iuWTrJtdvgVFP/MOrk2U89E0PAnDqsdtYDutwNHy+VOZ7GRix9/D8dL+1QV+FntEQqnTBli2Vijh/dhtg7yWA0R3nk2Uq9lmbVhfK5EOoVi3UVB6ZJROGpcJ2deyBO0mH7S6+v+2Tf/+Aqh5+5facfuk922mn/zdOPqCqh9s+SZJLtENVHxSRXuABLDr7R4BpVf0VEfk5YFBVf/Zy01mP72E451w3ULFDUu1u671U9ayqPhgeLwBHgHHgHcCHw2gfxjqRK+bnMJxzrktsxg/3RGQf8ErgPmCbqp4F61REZGwj0/YOwznnuoEKGg6TtzEiIvev+vteVb330pFEpAf4c+D9qjovsrm/6/AOwznnusQaexiTa53DABCRLNZZ/LGqfjwMPi8iO8LexQ5gYiP1+TkM55zrAop92afdbT1iuxJ/CBxR1d9c9dQngfeGx+8FPrGRGn0PwznnusHGLj74euCHgcdE5OEw7BeAXwE+KiLvA04AP7SREr3DcM65riCoXtlBH1X9e+Byvc2br7ikS3iH4ZxzXcIDlJxzzq3P8zCcc851QjdwSGqreIfhnHNdwvcwnHPOrU+7P0BpQ/s/IvK/hCsjPi4ifyIihc0qzDnnbjZX+juMrXLFHYaIjAP/GjisqncBaeBdm1WYc87dTBQhaqXb3rrFRg9JZYCiiDSAEnBm4yU559xN6Eb+lpSqnhaRX8d+PbgMfEZVP3PpeCJyD3APwGiuRC7kCRw7v4OB4iIAo+Fa+qlUxPmJUWAlu6GQq3PbK54EYP+BFwB47dH9jA7adev3vPYxAE5+7S6On7Pr9N+x/xgAg/tPJ/kAqXAt+4XTYwzd9RwAled3AtBYLpAt2nXrd03Y9eifnx7hvk+8DYBP2WX6WdZmksMxkrHr4b98QHhh0VbyE1XL9diZ6qUVckamomUAhlN3sqdstZxZtmvjF1K7ecWQPR4L+QTLzQwPz4R8gLzN9+4RoRJyM2bqdl9t9SZ5Dq05u3b//dMrRwR7spaV0IxSHFvoC8MaybBieP51I1bf16aKye5mPcnAEB6Zs7qisDxzskg2bDaPTFoGwXA0SCr8ZmhX3tplst6gELIsFlvNsLxpBrI2rGfVlne0am1/MG+ZD8MFuK0v5Jj0WBbJswslZus2j+0hr6OQTrG9YNNuhDdaOZNmOWQo7CnZc0utFDuLthz9IZ9islpkrGjTTostW0uFnvD8bfuPMxWyHXbWbEVMLfaSCuNmUq3QVhlKYZveO2RZC+XicpLhUsrb9IrFapJ1Uu617b5ezTMYtv2XpuOkEJipWDvUqjbfU08fSF4bZ6rMH7klmUdPyZajtlRgcNd5W+YFy9Q4e2EkOaRxa+l5ABZm++gdsDyK6TnbNp4/tyPJSMmHmiunx5g8Z+/HbTnbdqoLZVqhfeeXSrY+dp5LMiAWwnxLPYtJjsRiyKLYt+cU9bBM08/uByxLY2rGMl4W5m25n5vYTrlsbXQufB4A1MJ7IB3afnZqkL7BOasr5IREKkneyNKErb96Pccz4X2d5OzM9ycZNJMzg6Et+jkY3ofx8vSOzNIIbV5Ztm179Ye6iE2jMt/LhVBrNqyrhbm+pL5Yo5lJ1uX0XD+X6qbDT+1s5JDUIHat9f3ATqAsIu+5dDxVvVdVD6vq4f6Mn+JwzrnLuWHPYQDfARxT1Quq2gA+Dnzz5pTlnHM3GW0fz9pNh6k2cg7jBPA6ESlhh6TeDNy/9kucc861o0AUdc8J7nY2cg7jPhH5GPAg0AQeAl4U6OGcc64zURcdfmpnQ9+SUtVfBH5xk2pxzrmbl3bX4ad2/JfezjnXBeIApW7mHYZzznUJ7zCcc851xDsM55xz61IVWl10GZB2vMNwzrku4XsYzjnnOuIdhnPOufXpDf47DOecc5vDIlq9w3DOOdcB7zCcc851JI516FbeYTjnXBfQ6yDTe0s7jJ6eCq/7vs8BUDm+ncKQBZ1kh+1+MAQbARAaLj0uRLt2AVB8+BkACifGWQ6hLPUpCyGp1fJJONP0tAWizM4MMDQyBYCkLPhmZnKI8jkLOlK13jxXXk6ClvoKFkZz2/hJPvHESwHYUbDn7q9NMRrZtPMpq68WCYf6LdDlpQMWHjNaqFLKWODMQ9NW3/Zig2dsMbmjz+Y7WYU7+m3ggRELvsnlGrymYmEwfT0WIrP/7kdZOjsMwJljewAYHpukFWru32nBPeNfej1TVQt5GSpZuNFdr32I2qwF02RKFlS0ODlA/y4Ly/nb//5PbL4p+OYxa5fdA9Zmf/DkwWR1nE5bmOJ4ayctLDRmf9YCqPJpoRHyf56tW2DMjnQvu0u2nOWMBUItNiFkSDFr+U2MFpRfGLc/bt/5CACDo9NJoFV9MQRVnd5BOQ4KCoFGo9snKPRZGy3PWdtnizVSIViq71UWuHXirw7zyLEDNu0QmjRSWuTg7pMAFEM7A5S327Jn+pbYVqyz2uQDt1Pst3ZN5e25VDoiO7hgj8P4rUqBA3lb/xrChlLlGql9ti1oj62PqNhDq28vAHsvWC1SXWb2Vy3UaMd+G5Yp1CnddtamPWvbfaq3hi6HcLABm1drOoe+5ZUA7Ln/awCMPT1Cs2rt3/tqm0bfcz1k91rNI99lYWOtMxFaCwFFIVRLdgwwcMLek6mxlSybaMLWTc9Dtn0MfctzaFj/ozNP2zSGWwydPGH1j1qbybYeyFkt1EPbzi2y86Rt75nXWbvs/czTlO4M23TT3rfNsz3J/DPbbHraEFK99j7UJStg6KXPIXn7HJBDtn0OPPV3HDxrIU25A7aNU1OkbNvn7pO2bM1KkcJBW/+Do7YOaLbov8vaKFq29okWC+QOVliteSZHc94CpbKj9h5IlVtJgEQ0a68dfd2R5DVaD09+KR4iftLbOedcZ3wPwznnXEe8w3DOObcuVT/p7ZxzriN+DsM551wHFPvxXjfzDsM557qEn8NwzjnXET8k5ZxzrgPdfy2p7j4l75xzN4n4W1LtbusRkbeIyNMiclREfu5q1egdhnPOdYkIaXtbi4ikgd8Fvgc4BLxbRA5djfq8w3DOuS6g2Envdrd13A0cVdXnVbUOfAR4x9Wo0TsM55zrCvY7jHY3YERE7l91u2fVC8eBk6v+PhWGbboNnfQWkQHgD4C7sA7yx1T1K5tRmHPO3WzW2JuYVNXDl3mu3Yt0cyq62Ea/JfUfgU+r6jtFJAeUNqEm55y76SiE60B/w04Bu1f9vQs4s/GKXuyKOwwR6QPeAPwIQDh2Vl/rNc455y7jyq8l9XXgVhHZD5wG3gX8s80sLbaRcxgHgAvAfxGRh0TkD0SkfOlIInJPfNxtcrm1gdk559yNTZG2tzVfo9oEfhL4G+AI8FFVfeJq1CeqV3aoS0QOA18FXq+q94nIfwTmVfXfXe41d/QO6J9982sAqNZzLNYsuGS4NwQpZRtJMFLc027fPsHkBQsP+twxC2y5bzLDa4at8/mWcTvXc26hn6kwvfFyJZlGPgQZrdYXQnRSYss+NjpJvWbBLkfPWFjTge1n+PTT9s20J2btueOLDbIpq2tn0YJxTi412RdSgcZLtkN5vJJie9Gm/bJBW7ZIheEQztRbsICaVCpi17jtOeaKNQCW5nuSAKgL8xa4019a5PnpUZtHrwXAHLrrKWbOjQCw940PADD/1F5qFQscKodwKo2EE8/ut+n02bBKpYd83uZ3ZtKmu1TPc8vOUza9b30IgMVjOzjzvAU2PXra7svZOneENr8wY3X2FJcZGZ0EIJOz8Jr6cp7ykAXJxMFN6VyDwh1Wf2sqvAlaKWaf3AfA40fuAGDbwAwLS3Z0U8I6mqz00QrHd+sta++h4mKyLueW7H+V+VqBSsPW17YQIvXg5CitsJnvKVvbA8w1LNRmOYQcHRqcoZhd2UkeH7nAavV6jmzWtqd0CGmqVgsMDs9YO4xOWw3nRigP2rLHwV0Lk4NJUFNp1NogXaihLZt3ddoCe+YnhnjhrAX/xMuWSbcY2Wa1zEwN2WtTLUple35+ri+Z185bjic1AMzMDCRtmQ+1lwpVMiFsLJWybTZfqPH08X0A7NtuQUsju86xOGPbYL5k7ZYt1jj1rI03t1gOtUQMxttWmNfI8JvH4VwAABrpSURBVHSyvM3QzqlURDobwo3Cej17YjzZFkd2nQNg8tR28gUb1jsykwwb3W11xTU16xlKfbaOl0Po2OTUEIMhlCyef7ZYY2HSApQaoZae/oVk2etVC+S6MDlMuWjL2T9k66hRy1Gv2/ZUCKFelfkeymHamZy16eJCD+mUbRPLIcRs5y3HOf+8HSlaWrZhvb2VZHo9PVb73o9+/QFVPXywNKK/etv30s4PPfJfH1jjHMaW2cgexinglKreF/7+GPCqjZfknHM3p0jb37rFFXcYqnoOOCkit4dBbwae3JSqnHPuJnQlh6S20ka/JfVTwB+Hb0g9D/zoxktyzrmbj10apHs6h3Y21GGo6sPANT+u5pxzN4L1LgNyrfnVap1zrgvElwbpZt5hOOdcV/CIVueccx3qoi9EteUdhnPOdQHFE/ecc851qOUdhnPOufWo+h6Gc865Dvk5DOeccx3xPQznnHPr2kAexpbxDsM557pCR/nd15R3GM451wUU/5aUc865DnXTpczbueIApSvxym15/ccft7CX+lwP1bleANIhzKW88wL1uR4AmlULGSmOzZAuWKjN1BELAvrMg69mewhJ2j1swTLnZwd5ZsaClnaULNxkplZIxquHoJoUUA0BPP15C0tJpyKmly2AJZe2Wnb0zSahRYshdGWplaYUgnNWH2vMhyCWkRB404pSSUBMPL3RvrkkwCidaSXLHYW6+rZbANHUiZ2U+xcAmJ+2oJil5SIDAxbIM7Q3BC4NzxMtWxtlX2f3WuohddLCjUiF/1SaEbpk9UnJrmbfmkiT3mttcOIjL7FlKFXZ9p1P2Wt6LQRHz1eoHrM2iFr22kalSDpvoTHlAxZoI/kI9lpgTzRo47f6Rsj+/d/Z8+MW+hMNDCEVWzb57l9O2m9x2gKgik/8tT3XbCATE/aaneM2bGkRmZqyurZtsxfWa2jJthc5chyA5efGKB6w18pO29b0wjySCe0x3B/apQlNWw86Z9uB3nk7smTbi+byRL1Wd6tkr9FMjlTVns/M2LKnTpxAhwZD+4fAySgi6rVhmdPHbNhCBeohcTJv25MO9MHZsEwh10mradJ3WN3R0RDiM9WLpG0d1kLQUm2+h4HbX7DHk1ZfKtskFQKKmkshiGw5T33JwnuKwza9qJEhatj6j99nsBJ0NHjLyWR6y+etDfIhkCu7bYHGeXvfVk7aetBI6Nk5mUzbXhxR2B+WrWZtr80U0ZKFFcXvj/nnx+l/yXFromctvCzfv0g6BCilyhZapI0MmVF7f0WL9p6pnxsiHcK56jNWU2O5kCxnfrcFWtVPDybjRbUQ5pRvkCrbPBoX+pM2a4XnC2MzyfjxZ1JhxKYruSbNeVvXmT77rFk8OUYhtFEcmpXKN5K6khCxnmVaIeQsnlffr596QFUP7y6M6ft3vZN2PvDcf+qKACXfw3DOuS7gv8NwzjnXMf+WlHPOuXX5SW/nnHMd28JTylfEOwznnOsSnrjnnHNuXXZ582tdxdq8w3DOuS7hh6Scc851QPyQlHPOufWpQsv3MJxzznXCz2E455zrSJf3F95hOOdcN7BvSXX3OYzURicgImkReUhEPrUZBTnn3M1Ktf2tW2zGHsZPA0eAvk2YlnPO3ZTs0iDXuoq1bWgPQ0R2Ad8L/MHmlOOcczev6DK3brGhPAwR+Rjwy0Av8AFVfVubce4B7gEYzZVe/ZFXfU/y3HLDrsVfyIR8hXyVbMjGmJgfAKCUq9FTsLCA2w8/BkD+rWVawzsBaOx/EwCpC49Q+EfLU6h+i5XR6tsLLbsOvTTtPjP1POmlcN36hg1rDO8i/9DfA6ALdo381qteSapm199PPf2M1fv0EI1wHfylWbvO/fJSiVrVrvGfD9fwn5vvZW7JxmuGvItGlCYdcjPSYvf5TAMN37su5cL1/1MRFxbs+vxzNcs06MnWuXXnKQAGRqaT9lO1/r44aMvTqmWTPITZM2MAHD89nsQ+5kM7T1T6GAjZHbWQgZBJt3jZy56w9luw2kUijr2wB1g5ttqM0kmt8fLMLpVphVridZmSiCgMy4ZMkHQqotYM80tZNkStmeXgbstfGLvzOQByB5egWGA1LRWTxzJlWQUUC7AYgiSytrPceD7D0mnL5CjvslyM2nRfktNQDestk2vQatqwWsiO6Ns+ycJ5y1Qp9CxRrVguSDq0aa5QY/Kstety1V5TLi0xXwkZLmFd79g2Qb1m2/bScjG0h5LPW7tFkbVLT1+FxdDW56eHkvHqIa8lXl/nK/3kQnvFw2aqRbb32HrXVd/dl3DatBlZLfF7DKAc1lsxV2OyEnI1wryakZAPWS9jYbqNVprFui1nnOsy0jfHTCXkYYTtU0TpyVdZrd7MMBByaRaqxaT2xfCachi/GaXpD+OdmLZMlWKmkbRBMWtZOP2lxWR7y4Q6z84M0Rs+GybC8qRF6S/Ytj02ZO+V+UoPvWWbRyNs7/F2DzC72BPatEQ2tPPOftvGJhb6SYXsjrjtW1Eqad+4vuNzg/Tl7HG8rgZLlZX3fLgvl5aphW0j/oz49q98/AFVPbwtu03/6ci7aOf/PvfbXZGHccV7GCLyNmBCVR9YazxVvVdVD6vq4f5MYa1RnXPupqVr3DZCRH5NRJ4SkUdF5C9EZGDVcz8vIkdF5GkR+e71prWRQ1KvB94uIseBjwBvEpH/dwPTc865m1qk7W8b9FngLlV9GfAM8PMAInIIeBdwJ/AW4PdEJL3WhK64w1DVn1fVXaq6L8z086r6niudnnPO3eyuxrekVPUzqtoMf34V2BUevwP4iKrWVPUYcBS4e61pbfhrtc455zZOgaa2vwEjInL/qts9VzibHwP+OjweB06ueu5UGHZZm/LDPVX9IvDFzZiWc87drNbYmZhc66S3iPwtsL3NUx9U1U+EcT4INIE/jl/2jZXgv/R2zrmusJE8DFX9jrWeF5H3Am8D3qwrX409BexeNdou4Mxa0/FDUs451w0uc/5io+cwROQtwM8Cb1fVpVVPfRJ4l4jkRWQ/cCvwtbWm5XsYzjnXJa7Sj/R+B8gDnxURgK+q6o+r6hMi8lHgSexQ1f+sqq21JuQdhnPOdYGrFdGqqres8dwvAb/U6bS8w3DOuS7R7deS8g7DOee6RDddmbYd7zCcc64LKN11ocF2vMNwzrkuEXX5LoZ3GM451yW6u7vwDsM557qCqtLyPQznnHPruVpfq91MGwpQ+ka9pHdAP/TqbwEsBKWnZD86lBBQ0mhkKRYtWGV6tj953RPnLSzpK5MWOLK/p5k8F/9UfW9PhZOL9nw6XCGlmG6xHEJtzldDKE1KieLQorSdYqq2hAs1m1Jv1moZzLU4PGoBPKdCoNG5ap5q6+IfxxfSEeWM/dalJ4Q/ZVIRpeSxPTddLa4EqxRsGeNQGoDxkQsA7LrzKI2KBc6ced7Ci5qtNE+es2uCnVi0UJ/FZpqpmi3HWMGWY295Obk4TCHMv5hpJGEv/XkLm6k2s0nwS6Vu4U9ztQLnlgtJWwI8NtPPcN6mU4tsyr2ZVnJi7uiCvbal0Bfard6y8XqyEbf1VUKb2rwWGrkkpOeZOQu82VGsUg3r6GtThdDOrWS9FtKpMH/lbGsBgBfkqdAGFxjK7gcgFV6xrPMUxab9vaWXAHB7f51Kw+YRr79dpRrlrAXi9IVgob58lVQcbpVtvCj8plio0gq1lsK222hkk0CkJDAq06AQtuM4fElESYXtrdW0aaQzLTS069x0ElHA02fsYqI7+mZtvvlaEvhTLto6rNVzSbBPOmx/KYmo1myd5HK2bOemh5Lgn+H+OS41NWfbdq2ZTcKI4hCzdCpKQqGK8TabayTvzUYIoCoVqgwNWeDQwoKFK2kkZMJ04oCpbKaZvNcLIUwKLDTMpmfLuFzNU61byFA5zLenZ5FmCMHKhDatLheSecyFeWTSLfJhveZCoFGztfJ/cRTWf7m8yNKSvZfi9VdrZJPl7euJA5cyybA4hOnc1HAyj/i1rShFT1g3cdsX8jWWlooX1SKipMN2sBzeb3d9+vMPqOrhgfSYvqH8T2nnfyz8TlcEKPkehnPOdYmt/Af+SniH4ZxzXcC/Vuucc65jvofhnHNuXRag5B2Gc865DmiX/xLDOwznnOsSfg7DOefcuhQl8j0M55xz61K/lpRzzrkO+TkM55xz61Kg2eVnMbzDcM65rqC+h+Gcc2599kvv7u4wUuuP0p6I7BaRL4jIERF5QkR+ejMLc865m4pAJFHbW7fYyB5GE/hfVfVBEekFHhCRz6rqk5tUm3PO3VS6fQ/jijsMVT0LnA2PF0TkCDAOeIfhnHPfIEVp0brWZaxpU85hiMg+4JXAfW2euwe4B2B7vrgZs3POuRtSNx1+amfDHYaI9AB/DrxfVecvfV5V7wXuBdiR26Z/fvQgYOFF2ZTtfmXCfbWVIhMCVmohmEQVGmEvbSnkDT23kOFc1Rr2cX0egJ1nd9KXsjCax+RpAKYbx6g3raRmazbUm0KkEKqzaURRlVTKwlReVfgBAL6pr583hkCZN4yfAiyoJpu3IJRCr4WppPMNiANgQvBRKh2RCiEvjRCSkimsBMbEWrVs8nhp1kJ/Hv6Hw5xesDCdo/M9SVtUGrZsxYwm7Xdrr813WwhuuXXkPKdnh0Jb2qotpJtUwzzqYVgzSrFQs7oenxkI46dYaNo8DvbZPN7z8kfoHbD2i4N+JKVJCE5xcD60qRKFcJvGcj5pAwlhSVEI2mk1MjRqFozzmlCTqrAUQqH2920D4MjsEIshZKjesnm1VLilacE9r269FoDTSy0GczZeNpyNSwlkQ4rUt26z+l7/kieS9RaHGDVqORYXLHArH8J86vUc+bCeKgs9pEP9cWhStZZPln0xhHVVlovJsDjkKNIUyw1bzrSshDBVQ0BQMw7saaVZDsPmw2tzqSgJdjpzdldYN2lCM9AIr02LUg/rpJBe+ZCZa8RBYTbsfDVNPrTNQK4VppeimLHnFxr2ZKUpDIQQrHS8jM1Usr31hpCmhgqLzTgwijB/TWqIT4qmRFmK2y2EapUzEcvhtRLWUVo0+RyIw62Wm0IubcOycUhUChrRxcFntUiIf+cWh6KlWJleU23YckuSULX43tqS0FYrh4HioLCe0D6VZopmtFJ/PK+4jSqNleWJ6wqZX+RSEfMhuCsX5lGP5KLH5vNA/EvvG7jDEJEs1ln8sap+fHNKcs65m9MN22GIiAB/CBxR1d/cvJKcc+5mZPsY3eyKv1YLvB74YeBNIvJwuL11k+pyzrmbinIDf61WVf8ekHVHdM451wGlReNaF7Em/6W3c851gRv+pLdzzrnN4x2Gc865DthP97qZdxjOOdcF7OKD3b2HsZFvSTnnnNtEFtL64ttmEJEPiIiKyEj4W0Tkt0XkqIg8KiKvWm8avofhnHNdQK/it6REZDfwncCJVYO/B7g13F4L/Kdwf1m+h+Gcc11BibTV9rYJ/gPwb+Giy+G+A/ivar4KDIjIjrUm4h2Gc851iTUOSY2IyP2rbvd0Ok0ReTtwWlUfueSpceDkqr9PhWGX5YeknHOuK6z5LalJVT18uSdF5G+B7W2e+iDwC8B3tXtZ2yLW4B2Gc851AQUivbIT3Kr6He2Gi8hLgf3AI3b5P3YBD4rI3dgexe5Vo+8Czqw1H+8wnHOuG6gS6eae9FbVx4Cx+G8ROQ4cVtVJEfkk8JMi8hHsZPdcCMa7LO8wnHOuC1yDS4P8FfBW4CiwBPzoei8Q1a3LkN1TGNN/s+cHk7/jpkmt+rvdWfg4oKYQAm0K6RapcKgtDmJZvRjp1EoQTCoOYAlXfIz0xYftUqLJ8DigJg65WT09uczhPeXi17aTavPaCEHb1NNO3AaxVrQyxbj2tCiN8DiebqRCKzyO26KpkrRz3Ka5dItWqD8ePw7yuahmlVVtqquGXzyeIrSiFy9bHHQTv7YZpZL64+lmUu3fNOlLrtqZkpVaV9cXD2uuChu6tP1UJVlfKWmzblYtZ1xfu6paUepF411Ou60nfs3q5Yhr7XTb2Eoi+qK6Lve+3QprtdV67bgZ7XzpZ9g38nz83Puf/f0HVPVwOlXUcn5/2+ksVI88sNY5jK3iexjOOdcV/NIgzjnnOqRXeNJ7q3iH4ZxzXaH7E/e8w3DOuS6gKFHkAUrOOec64HsYzjnn1qd+DsM551xH/ByGc865Diigm3Nl2qvGOwznnOsKlrnXzbzDcM65rqBE2rzWRazJOwznnOsavofhnHOuE13+LakNXTNMRN4iIk+HEPGf26yinHPu5qNrJe51hSvuMEQkDfwuFiR+CHi3iBzarMKcc+7mE13m1h02sodxN3BUVZ9X1TrwESxU3Dnn3DdMUY3a3rrFRs5htAsQf+2lI4Ww8jiwvPavn/39xzcwz2tpBJi81kVcgeu1brh+a79e64brt/brtW6A28P930Bz5DLjdMWybaTD6ChAXFXvBe4FEJH7uyEE5Epcr7Vfr3XD9Vv79Vo3XL+1X691g9UOoKpvuda1rGcjh6S+4QBx55xz16+NdBhfB24Vkf0ikgPeBXxyc8pyzjnXba74kJSqNkXkJ4G/AdLAH6nqE+u87N4rnV8XuF5rv17rhuu39uu1brh+a79e64brqHZRbRdN75xzzl1sQz/cc845d/PwDsM551xHrkqHsd4lQ0QkLyJ/Gp6/T0T2XY06OtFBrT8jIk+KyKMi8jkR2bvquf9LRJ4QkSMi8tsi0u6rxtey9h8RkQsi8nC4/ctVz+0Rkc+E2p/cynXQQd17ROQLIvJQaPe3huH7RGR51fL8/lbVHOb/RyIyISJtf0skIneIyFdEpCYiH1g1vCAiXxORR8L28n9sXdVJDWvWvmq814hIS0TeuWrYp0VkVkQ+dfUrfVE969YtIm8M28MTIvKlVcN/WkQeD8PfvzUVX1TXetvLoIj8RdjGvyYid4Xht6/axh8WkflrUX9bqrqpN+wE+HPAASAHPAIcumScnwB+Pzx+F/Cnm13HJtb67UApPP5Xca3ANwP/EKaRBr4CvLHLav8R4Hcu8/ovAt8ZHvfEy9gldd8L/Kvw+BBwPDzeBzx+LbaVMP83AK+6XA3AGPAa4JeAD6waLkBPeJwF7gNe1021r1o3nwf+CnjnquFvBr4P+FQXtvkA8CSwJ14H4f4u4HGghH2552+BW7us9l8DfjE8vgP43GXWyTlg71a3fbvb1djD6OSSIe8APhwefwx481b/dx6sW6uqfkFVl8KfX8V+bwL2I8UC9qGXxz4Izm9J1eaKL80SrvmVUdXPAqhqZdUyXm2d1K1AX3jcT5f8vkdVvwxMr/H8hKp+HWhcMlxVtRL+zIbbln7bZL3ag58C/hyYuOS1nwMWrlJpa+qg7n8GfFxVT4Tx49pfAnxVVZdUtQl8CfiBq1rsJTqo/RDwuTDuU8A+Edl2yThvBp5T1ReuTpXfmKvRYbS7ZMj45cYJK3MOGL4Ktaynk1pXex/w1wCq+hXgC8DZcPsbVT1ylepsp9PafzDs8n5MROIfWt4GzIrIx8Nhn18LF5PcCp3U/b8D7xGRU9h/uz+16rn9oeYvici3XtVKN5GIpEXkYezD+LOqet+1rmk1ERnHPlC39DDfJrgNGBSRL4rIAyLyL8Lwx4E3iMiwiJSAt3LxD427wSPAPwEQkbuBvaz8Qxp7F/AnW1zXZV2NDqOTS4Z0dFmRLdBxHSLyHuAwthuJiNyC/RezC/vAe5OIvOEq1dm2pDbDLq39fwD7VPVl2C55vFeXAb4V+AB2COUAdvhqK3RS97uBD6nqLuyN/t9EJIV1zHtU9ZXAzwD/XUT6uA6oaktVX4FtL3fHx6u7yG8BP6vdHir9Yhng1cD3At8N/DsRuS388/arwGeBT2Mfzt0WZ/crWGf3MPZP0UOsqlHsB9FvB/7s2pT3Ylejw+jkkiHJOCKSwQ47rLe7fDV0dHkTEfkO4IPA21W1Fgb/ALbLWwmHG/4aeN1Vrne1dWtX1alV9f4/2Bsrfu1D4bBQE/hL7FjrVuikzd8HfBSSPbkCMKKqNVWdCsMfwM6F3HbVK95EqjqLnT/qtusGHQY+IiLHgXcCvyci339tS+rIKeDTqrqoqpPAl4GXA6jqH6rqq1T1Ddjny7PXsM4XUdV5Vf3R8I/EvwBGgWOrRvke4EFV3cpD3Wu6Gh1GJ5cM+STw3vD4ncDnNZzh2WLr1ioirwT+M9ZZrD62ewL4NhHJiEgW+DZgKw9JdVL7jlV/vn1VfV/H/rMZDX+/CTtxuBU62T5OYMduEZGXYB3GBREZjQ+dicgB4Fbg+S2q+4qFugfC4yLwHcBT17aqi6nqflXdp6r7sPOKP6Gqf3mNy+rEJ4BvDe/DEnbF7CMAIjIW7vdgh3665tAOgIgMhPcAwL8Evqyq86tGeTddVvPV+nbAW4FnsP8APxiG/XvsQxfsA+DPgKPA14AD1+qsfwe1/i12MvvhcPukrnx74T9jG+eTwG92Ye2/DDyB7Y5/Abhj1Wu/E3gUeAz4EJDroroPYd9AeyS0+XeF4T+4ankeBL5vi9v7T7DDYg3sP9v3AT8O/Hh4fnsYPg/Mhsd9wMuwww2PYsfW/7drsK2sWfsl436Ii78l9XfABWA5vPa7u6lu4N+E9+DjwPsvqfvJsL28udvaHPgmbK/nKeDjwOCq15aAKaB/q+te6+aXBnHOOdcR/6W3c865jniH4ZxzriPeYTjnnOuIdxjOOec64h2Gc865jniH4W4Y4XvtPxEe7xSRj13rmpy7kfjXat0NQ+wS7Z9S1W677IZzN4QrzvR2rgv9CnAwXJvnWeAlqnqXiPwI8P3Yjy3vAn4Du8rwDwM14K2qOi0iB4HfxS7RsAT8T2pXEXXO4Yek3I3l57BLQb8C+/Xvandhl8K+G8urWFK7iOFXsOv4gOVw/JSqvhq7MOPvbUnVzl0nfA/D3Sy+oKoLwIKIzGFX8gW7NMrLRKQHC8X6s1XRLPmtL9O57uUdhrtZ1FY9jlb9HWHvgxQwG/ZOnHNt+CEpdyNZAHqv5IVqVwk9JiI/BCDm5ZtZnHPXO+8w3A1DLSvjH0TkcULQ1TfonwPvE5FHsKvidhR569zNwr9W65xzriO+h+Gcc64j3mE455zriHcYzjnnOuIdhnPOuY54h+Gcc64j3mE455zriHcYzjnnOvL/A/mmzmpCLWQ7AAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "amfcc = aword.to_mfcc()\n", "amfcc.plot()\n", @@ -162,29 +111,11 @@ " An array of mel filters\n", " cepstra : numpy.ndarray\n", " An array of the MFCC coeffcient, size: nframes x ncep\n", - "\"\"\"\n" + "\"\"\"" ] } ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, + "metadata": {}, "nbformat": 4, "nbformat_minor": 4 } diff --git a/examples/pya-examples.ipynb b/examples/pya-examples.ipynb index 08df7a9d..04639bfe 100644 --- a/examples/pya-examples.ipynb +++ b/examples/pya-examples.ipynb @@ -15,7 +15,8 @@ "outputs": [], "source": [ "# This part only makes sure that the repository version of pya is used for this notebook ...\n", - "import os, sys, inspect, io\n", + "import os\n", + "import sys\n", "\n", "cmd_folder = os.path.abspath(sys.path[0] + \"/../\")\n", "\n", @@ -23,8 +24,9 @@ " sys.path.insert(0, cmd_folder)\n", "\n", "# ... the part relevant for pya usage starts here\n", - "from pya import *\n", - "from pyamapping import dbamp, ampdb" + "from pyamapping import ampdb\n", + "\n", + "from pya import *" ] }, { @@ -64,7 +66,7 @@ "metadata": {}, "outputs": [], "source": [ - "# To check all available devices \n", + "# To check all available devices\n", "device_info();" ] }, @@ -76,14 +78,16 @@ "source": [ "# header - imports\n", "import time\n", + "\n", + "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import scipy\n", - "import matplotlib.pyplot as plt\n", - "from ipywidgets import interact, fixed, widgets\n", + "from ipywidgets import interact\n", + "\n", "# plot graphs right into the notebook\n", "%matplotlib inline \n", "# for dedicated GUI windows with Qt5, uncomment the following line:\n", - "# %matplotlib qt5 " + "# %matplotlib qt5" ] }, { @@ -205,7 +209,7 @@ "metadata": {}, "outputs": [], "source": [ - "asnap = Asig(\"samples/snap.wav\", label='snap')\n", + "asnap = Asig(\"samples/snap.wav\", label=\"snap\")\n", "asnap" ] }, @@ -231,7 +235,7 @@ "metadata": {}, "outputs": [], "source": [ - "aping = Asig(\"samples/ping.mp3\", label='ping')\n", + "aping = Asig(\"samples/ping.mp3\", label=\"ping\")\n", "aping" ] }, @@ -251,7 +255,7 @@ "outputs": [], "source": [ "# load a speech sample\n", - "aword = Asig(\"samples/sonification.wav\", label='word')\n", + "aword = Asig(\"samples/sonification.wav\", label=\"word\")\n", "aword" ] }, @@ -271,7 +275,7 @@ "outputs": [], "source": [ "# create a signal from data\n", - "anoise = Asig(np.random.randn(44100), sr=44100, label='noise')\n", + "anoise = Asig(np.random.randn(44100), sr=44100, label=\"noise\")\n", "anoise" ] }, @@ -281,8 +285,8 @@ "metadata": {}, "outputs": [], "source": [ - "# record() helper function is currently removed until future release. \n", - "# Use Arecorder() for recording. \n", + "# record() helper function is currently removed until future release.\n", + "# Use Arecorder() for recording.\n", "# # record an audio signal, follow with a normalization\n", "# arec = Asig(record(2.0), label='rec').norm()" ] @@ -294,7 +298,7 @@ "outputs": [], "source": [ "# create 2s silence at default sr\n", - "Asig(2.0, label='sonification')" + "Asig(2.0, label=\"sonification\")" ] }, { @@ -303,8 +307,10 @@ "metadata": {}, "outputs": [], "source": [ - "# create a 44100 x 4 signal at 22050 sr, give the channel names cn \n", - "asignal = Asig(44100, sr=44100//2, label='silence', channels=4, cn=['a', 'b', 'c', 'd'])" + "# create a 44100 x 4 signal at 22050 sr, give the channel names cn\n", + "asignal = Asig(\n", + " 44100, sr=44100 // 2, label=\"silence\", channels=4, cn=[\"a\", \"b\", \"c\", \"d\"]\n", + ")" ] }, { @@ -320,7 +326,7 @@ "metadata": {}, "outputs": [], "source": [ - "asignal.sig # signal array " + "asignal.sig # signal array" ] }, { @@ -329,7 +335,7 @@ "metadata": {}, "outputs": [], "source": [ - "asignal.samples # nr of samples on each channels" + "asignal.samples # nr of samples on each channels" ] }, { @@ -347,7 +353,7 @@ "metadata": {}, "outputs": [], "source": [ - "asignal.sr # sampling rate" + "asignal.sr # sampling rate" ] }, { @@ -356,7 +362,7 @@ "metadata": {}, "outputs": [], "source": [ - "asignal.label # asig label " + "asignal.label # asig label" ] }, { @@ -365,7 +371,7 @@ "metadata": {}, "outputs": [], "source": [ - "asignal.cn # channel name list" + "asignal.cn # channel name list" ] }, { @@ -489,11 +495,11 @@ "source": [ "print(\"Length in second: \", asnap.get_duration(), aword.get_duration())\n", "try:\n", - " (asnap + aword).play() \n", + " (asnap + aword).play()\n", "except ValueError:\n", " print(\"asnap and aword are different in size\")\n", "\n", - "(asnap.x + aword).play() # same as (asnap.extend + aword).play() \n" + "(asnap.x + aword).play() # same as (asnap.extend + aword).play()" ] }, { @@ -525,10 +531,9 @@ "metadata": {}, "outputs": [], "source": [ - "import time\n", "t0 = time.time()\n", - "asnap.play(onset=t0+0.75)\n", - "aword.play(onset=t0+0.1)" + "asnap.play(onset=t0 + 0.75)\n", + "aword.play(onset=t0 + 0.1)" ] }, { @@ -562,7 +567,7 @@ "metadata": {}, "outputs": [], "source": [ - "aword.plot(lambda x: ampdb(abs(x)+0.01), lw=0.5, color=\"r\") # try also with arg 'db'" + "aword.plot(lambda x: ampdb(abs(x) + 0.01), lw=0.5, color=\"r\") # try also with arg 'db'" ] }, { @@ -571,8 +576,8 @@ "metadata": {}, "outputs": [], "source": [ - "aword.plot(lambda x: ampdb(abs(x)*1e2+1), lw=0.15)\n", - "aword.plot(lambda x: 100*abs(x)**2, color='red', lw=0.25)" + "aword.plot(lambda x: ampdb(abs(x) * 1e2 + 1), lw=0.15)\n", + "aword.plot(lambda x: 100 * abs(x) ** 2, color=\"red\", lw=0.25)" ] }, { @@ -599,7 +604,7 @@ "metadata": {}, "outputs": [], "source": [ - "aword.play(1.)" + "aword.play(1.0)" ] }, { @@ -609,8 +614,10 @@ "outputs": [], "source": [ "# demonstrate plot() and play() daisy-chained and subsequent access to the _ dict\n", - "asnap.plot(marker='o', mfc='r', ms=7, lw=0.1).play(server=s)._['plot'][0].set_markevery((700, 200))\n", - "plt.xlim(0, 0.2);\n", + "asnap.plot(marker=\"o\", mfc=\"r\", ms=7, lw=0.1).play(server=s)._[\"plot\"][0].set_markevery(\n", + " (700, 200)\n", + ")\n", + "plt.xlim(0, 0.2)\n", "asnap._" ] }, @@ -639,7 +646,9 @@ "outputs": [], "source": [ "b = Ugen().sine(freq=100, sr=1000, dur=0.6).fade_in(0.3).fade_out(0.2)\n", - "b *= 0.5+0.2*np.sin(2*np.pi*15*b.get_times()) # AM, note that you can directly apply arithemetics to Asig rather than Asig.sig\n", + "b *= 0.5 + 0.2 * np.sin(\n", + " 2 * np.pi * 15 * b.get_times()\n", + ") # AM, note that you can directly apply arithemetics to Asig rather than Asig.sig\n", "b.plot().norm().play()\n", "# note that repeated cell executions changes signal more and more" ] @@ -677,7 +686,9 @@ "source": [ "def test_stride(stride=2):\n", " aword[0:40000:stride].play()\n", - "interact(test_stride, stride=(1,20,1));" + "\n", + "\n", + "interact(test_stride, stride=(1, 20, 1));" ] }, { @@ -706,10 +717,10 @@ "outputs": [], "source": [ "# create a 4-channel sine\n", - "amultichan = Ugen().sine(freq=200, sr=2000, channels=4, cn=['a','b','c','d']) \n", + "amultichan = Ugen().sine(freq=200, sr=2000, channels=4, cn=[\"a\", \"b\", \"c\", \"d\"])\n", "\n", "# create a 1-channel sawtooth\n", - "amono = Ugen().sawtooth(freq=40, sr=2000, channels=1) " + "amono = Ugen().sawtooth(freq=40, sr=2000, channels=1)" ] }, { @@ -719,8 +730,8 @@ "outputs": [], "source": [ "# use index list to create a subset of samples\n", - "amono[[3, 30, 300]].sig \n", - "amultichan[[3, 30, 300], :].sig " + "amono[[3, 30, 300]].sig\n", + "amultichan[[3, 30, 300], :].sig" ] }, { @@ -730,8 +741,8 @@ "outputs": [], "source": [ "# channel selection based on channel name cn, using a list\n", - "amultichan[:, ['a']]\n", - "amultichan[:, ['a', 'd']]" + "amultichan[:, [\"a\"]]\n", + "amultichan[:, [\"a\", \"d\"]]" ] }, { @@ -750,8 +761,10 @@ "outputs": [], "source": [ "# You can use a dictionary for time slicing. {start:end}\n", - "amultichan[{0.2:0.6}] # from 0.2 to 0.6 second\n", - "amono[{0.2:-0.4}] # This results the same as above, start at 0.2, end at 0.4 to the end. " + "amultichan[{0.2: 0.6}] # from 0.2 to 0.6 second\n", + "amono[\n", + " {0.2: -0.4}\n", + "] # This results the same as above, start at 0.2, end at 0.4 to the end." ] }, { @@ -760,7 +773,7 @@ "metadata": {}, "outputs": [], "source": [ - "amultichan[0:amultichan.samples:4, ['a', 'c']] # a rough down-sampling" + "amultichan[0 : amultichan.samples : 4, [\"a\", \"c\"]] # a rough down-sampling" ] }, { @@ -793,8 +806,10 @@ "metadata": {}, "outputs": [], "source": [ - "# create some test signals \n", - "amultichan = Ugen().sine(freq=200, sr=2000, channels=4, cn=['a','b','c','d']) # create a 4-channel sine\n", + "# create some test signals\n", + "amultichan = Ugen().sine(\n", + " freq=200, sr=2000, channels=4, cn=[\"a\", \"b\", \"c\", \"d\"]\n", + ") # create a 4-channel sine\n", "amono = Ugen().sawtooth(freq=40, sr=2000, channels=1) # create a 1-channel sawtooth\n", "anoise = Ugen().noise(sr=2000, channels=1) # create a 1-channel white noise" ] @@ -813,8 +828,10 @@ "outputs": [], "source": [ "amono[3:6] = [1.0, -1.0, 0.5] # set three samples explicitly with values\n", - "amono[20:40] = np.zeros(20) # set 20 samples to zero\n", - "amono[{0.5: 0.7}] = anoise[{0.2: 0.4}] # set a 200ms-segment to noise, requiring length match" + "amono[20:40] = np.zeros(20) # set 20 samples to zero\n", + "amono[{0.5: 0.7}] = anoise[\n", + " {0.2: 0.4}\n", + "] # set a 200ms-segment to noise, requiring length match" ] }, { @@ -841,7 +858,7 @@ "try:\n", " amono[-10:] = np.ones(20) # This won't not work and raise the exception\n", "except ValueError:\n", - " amono.b[-10:] = np.arange(20) # The first 10 elements will be assigned. \n", + " amono.b[-10:] = np.arange(20) # The first 10 elements will be assigned.\n", "amono[-10:].sig" ] }, @@ -866,11 +883,13 @@ "metadata": {}, "outputs": [], "source": [ - "a = Asig(0.8, sr=1000, channels=4, cn=['a', 'b', 'c', 'd'], label='x-demosig')\n", + "a = Asig(0.8, sr=1000, channels=4, cn=[\"a\", \"b\", \"c\", \"d\"], label=\"x-demosig\")\n", "b = Ugen().sine(freq=100, sr=1000, dur=0.6).fade_in(0.3).fade_out(0.2)\n", - "a.x[:, 'a'] = 0.2 * b # no need to extend as len(src) 0: nframes, ncoeff = np.shape(cepstra) n = np.arange(ncoeff) - lift = 1 + (L / 2.) * np.sin(np.pi * n / L) + lift = 1 + (L / 2.0) * np.sin(np.pi * n / L) return lift * cepstra else: # values of L <= 0, do nothing return cepstra - def plot(self, show_bar: bool = True, offset: int = 0, scale: float = 1., - xlim: Optional[float] = None, ylim: Optional[float] = None, - x_as_time: bool = True, nxlabel: int = 8, ax=None, **kwargs): + def plot( + self, + show_bar: bool = True, + offset: int = 0, + scale: float = 1.0, + xlim: Optional[float] = None, + ylim: Optional[float] = None, + x_as_time: bool = True, + nxlabel: int = 8, + ax=None, + **kwargs, + ): """Plot Amfcc.features via matshow, x is frames/time, y is the MFCCs Parameters @@ -332,7 +359,8 @@ def plot(self, show_bar: bool = True, offset: int = 0, scale: float = 1., show_bar : bool, optional Default is True, show colorbar. offset: int - It is the spacing between channel, without setting it every channel will be overlayed onto each other. + It is the spacing between channel, + without setting it every channel will be overlayed onto each other. scale: float Visual scaling for improve visibility xlim: float, optional @@ -343,21 +371,32 @@ def plot(self, show_bar: bool = True, offset: int = 0, scale: float = 1., The amountt of labels on the x axis. Default is 8 . """ if self.channels > 1: - warn("Multichannel mfcc is not yet implemented. Please use " - "mono signal for now, no plot is made") + warn( + "Multichannel mfcc is not yet implemented. Please use " + "mono signal for now, no plot is made" + ) return self - im, ax = basicplot(self.cepstra.T, None, - channels=self.channels, - cn=self.cn, offset=offset, scale=scale, - ax=ax, typ='mfcc', show_bar=show_bar, - xlabel='time', xlim=xlim, ylim=ylim, **kwargs) + im, ax = basicplot( + self.cepstra.T, + None, + channels=self.channels, + cn=self.cn, + offset=offset, + scale=scale, + ax=ax, + typ="mfcc", + show_bar=show_bar, + xlabel="time", + xlim=xlim, + ylim=ylim, + **kwargs, + ) self.im = im xticks = np.linspace(0, self.nframes, nxlabel, dtype=int) ax.set_xticks(xticks) # ax.set_("MFCC Coefficient") if x_as_time: - xlabels = np.round(np.linspace(0, self.duration, nxlabel), - decimals=2) + xlabels = np.round(np.linspace(0, self.duration, nxlabel), decimals=2) # Replace x ticks with timestamps ax.set_xticklabels(xlabels) ax.xaxis.tick_bottom() diff --git a/pya/arecorder.py b/pya/arecorder.py index 5676d44f..c0f9c8f1 100644 --- a/pya/arecorder.py +++ b/pya/arecorder.py @@ -5,10 +5,10 @@ from typing import Optional, Union import numpy as np -from . import Asig -from . import Aserver from pyamapping import db_to_amp +from pya.aserver import Aserver +from pya.asig import Asig _LOGGER = logging.getLogger(__name__) _LOGGER.addHandler(logging.NullHandler()) @@ -35,16 +35,26 @@ class Arecorder(Aserver): ... ar.stop() """ - def __init__(self, sr: int = 44100, bs: int = 256, device: Optional[int] = None, - channels: Optional[int] = None, backend=None, **kwargs): - super().__init__(sr=sr, bs=bs, device=device, - backend=backend, **kwargs) + def __init__( + self, + sr: int = 44100, + bs: int = 256, + device: Optional[int] = None, + channels: Optional[int] = None, + backend=None, + **kwargs, + ): + super().__init__(sr=sr, bs=bs, device=device, backend=backend, **kwargs) self.record_buffer = [] self.recordings = [] # store recorded Asigs, time stamp in label self._recording = False self._record_all = True self.tracks = slice(None) - self._device = self.backend.get_default_input_device_info()['index'] if device is None else device + self._device = ( + self.backend.get_default_input_device_info()["index"] + if device is None + else device + ) self._channels = channels or self.max_in_chn self.gains = np.ones(self._channels) @@ -61,7 +71,9 @@ def channels(self, val: int): raise ValueError(f"AServer: channels {val} > max {self.max_in_chn}") self._channels = val - def set_tracks(self, tracks: Union[list, np.ndarray], gains: Union[list, np.ndarray]): + def set_tracks( + self, tracks: Union[list, np.ndarray], gains: Union[list, np.ndarray] + ): """Define the number of track to be recorded and their gains. parameters @@ -94,20 +106,28 @@ def boot(self): # self.block_cnt = 0 self.record_buffer = [] self._recording = False - self.stream = self.backend.open(rate=self.sr, channels=self.channels, frames_per_buffer=self.bs, - input_device_index=self.device, output_flag=False, - input_flag=True, stream_callback=self._recorder_callback) + self.stream = self.backend.open( + rate=self.sr, + channels=self.channels, + frames_per_buffer=self.bs, + input_device_index=self.device, + output_flag=False, + input_flag=True, + stream_callback=self._recorder_callback, + ) _LOGGER.info("Server Booted") return self def _recorder_callback(self, in_data, frame_count, time_info, flag): - """Callback function during streaming. """ + """Callback function during streaming.""" # self.block_cnt += 1 if self._recording: sigar = np.frombuffer(in_data, dtype=self.backend.dtype) # (chunk length, chns) data_float = np.reshape(sigar, (len(sigar) // self.channels, self.channels)) - data_float = data_float[:, self.tracks] * self.gains # apply channel selection and gains. + data_float = ( + data_float[:, self.tracks] * self.gains + ) # apply channel selection and gains. # if not self._record_all self.record_buffer.append(data_float) # E = 10 * np.log10(np.mean(data_float ** 2)) # energy in dB @@ -137,6 +157,6 @@ def __repr__(self): if self.stream: state = self.stream.is_active() msg = f"""Arecorder: sr: {self.sr}, blocksize: {self.bs}, Stream Active: {state} - Input: {self.device_dict['name']}, Index: {self.device_dict['index']} + Input: {self.device_dict["name"]}, Index: {self.device_dict["index"]} """ return msg diff --git a/pya/aserver.py b/pya/aserver.py index 223d944b..ffc5b5c5 100644 --- a/pya/aserver.py +++ b/pya/aserver.py @@ -1,4 +1,3 @@ -from .helper.backend import determine_backend import copy import logging import time @@ -7,13 +6,15 @@ import numpy as np +from .helper.backend import determine_backend _LOGGER = logging.getLogger(__name__) _LOGGER.addHandler(logging.NullHandler()) class Aserver: - """Pya audio server + """ + Pya audio server Based on pyaudio, works as a FIFO style audio stream pipeline, allowing Asig.play() to send audio segement into the stream. @@ -27,7 +28,8 @@ class Aserver: >>> asine = Ugen().sine() >>> asine.play(server=ser) Asig('sine'): 1 x 44100 @ 44100Hz = 1.000s cn=['0'] - >>> ser.quit() # Important to call quit() to close the stream when you are done. Or use context manager. + >>> ser.quit() # Important to call quit() to close the stream when you are done. + Or use context manager. """ default = None # that's the default Aserver if Asigs play via it @@ -52,9 +54,15 @@ def shutdown_default_server(): else: warn("Aserver:shutdown_default_server: no default_server to shutdown") - def __init__(self, sr: int = 44100, bs: Optional[int] = None, - device: Optional[int] = None, channels: Optional[int] = None, - backend=None, **kwargs): + def __init__( + self, + sr: int = 44100, + bs: Optional[int] = None, + device: Optional[int] = None, + channels: Optional[int] = None, + backend=None, + **kwargs, + ): """Aserver manages an pyaudio stream, using its aserver callback to feed dispatched signals to output at the right time. @@ -65,7 +73,7 @@ def __init__(self, sr: int = 44100, bs: Optional[int] = None, bs : int Override block size or buffer size set by chosen backend device : int - The device index based on pya.device_info(), default is None which will set + The device index based on pya.device_info(), default is None which will set the default device from PyAudio channels : int number of channel, default is the max output channels of the device @@ -85,12 +93,16 @@ def __init__(self, sr: int = 44100, bs: Optional[int] = None, self.input_devices = [] self.output_devices = [] for i in range(self.backend.get_device_count()): - if int(self.backend.get_device_info_by_index(i)['maxInputChannels']) > 0: + if int(self.backend.get_device_info_by_index(i)["maxInputChannels"]) > 0: self.input_devices.append(self.backend.get_device_info_by_index(i)) - if int(self.backend.get_device_info_by_index(i)['maxOutputChannels']) > 0: + if int(self.backend.get_device_info_by_index(i)["maxOutputChannels"]) > 0: self.output_devices.append(self.backend.get_device_info_by_index(i)) - self._device = self.backend.get_default_output_device_info()['index'] if device is None else device + self._device = ( + self.backend.get_default_output_device_info()["index"] + if device is None + else device + ) self._channels = channels or self.max_out_chn self.gain = 1.0 @@ -125,11 +137,11 @@ def device_dict(self): @property def max_out_chn(self) -> int: - return int(self.device_dict['maxOutputChannels']) + return int(self.device_dict["maxOutputChannels"]) @property def max_in_chn(self) -> int: - return int(self.device_dict['maxInputChannels']) + return int(self.device_dict["maxInputChannels"]) @property def is_active(self) -> bool: @@ -141,30 +153,47 @@ def device(self): @device.setter def device(self, val): - self._device = val if val is not None else self.backend.get_default_output_device_info()['index'] + self._device = ( + val + if val is not None + else self.backend.get_default_output_device_info()["index"] + ) if self.max_out_chn < self.channels: - warn(f"Aserver: warning: {self.channels}>{self.max_out_chn} channels requested - truncated.") + warn( + f"Aserver: warning: {self.channels}>{self.max_out_chn} channels requested - truncated." # noqa E501 + ) self.channels = self.max_out_chn def __repr__(self): msg = f"""AServer: sr: {self.sr}, blocksize: {self.bs}, - Stream Active: {self.is_active}, Device: {self.device_dict['name']}, Index: {self.device_dict['index']}""" + Stream Active: {self.is_active}, Device: {self.device_dict["name"]}, + Index: {self.device_dict["index"]} + """ return msg def get_devices(self, verbose: bool = False): """Return (and optionally print) available input and output device""" if verbose: print("Input Devices: ") - [print(f"Index: {i['index']}, Name: {i['name']}, Channels: {i['maxInputChannels']}") - for i in self.input_devices] + [ + print( + f"Index: {i['index']}, Name: {i['name']}, Channels: {i['maxInputChannels']}" # noqa E501 + ) + for i in self.input_devices + ] print("Output Devices: ") - [print(f"Index: {i['index']}, Name: {i['name']}, Channels: {i['maxOutputChannels']}") - for i in self.output_devices] + [ + print( + f"Index: {i['index']}, Name: {i['name']}, Channels: {i['maxOutputChannels']}" # noqa E501 + ) + for i in self.output_devices + ] return self.input_devices, self.output_devices def set_device(self, idx: int, reboot: bool = True): - """Set audio device, an alternative way is to direct set the device property, i.e. Aserver.device = 1, - but that will not reboot the server. + """ + Set audio device, an alternative way is to direct set the device property, + i.e. Aserver.device = 1, but that will not reboot the server. Parameters ---------- @@ -192,11 +221,15 @@ def boot(self): self.boot_time = time.time() self.block_time = self.boot_time self.block_cnt = 0 - self.stream = self.backend.open(channels=self.channels, rate=self.sr, - input_flag=False, output_flag=True, - frames_per_buffer=self.bs, - output_device_index=self.device, - stream_callback=self._play_callback) + self.stream = self.backend.open( + channels=self.channels, + rate=self.sr, + input_flag=False, + output_flag=True, + frames_per_buffer=self.bs, + output_device_index=self.device, + stream_callback=self._play_callback, + ) self._is_active = self.stream.is_active() _LOGGER.info("Server Booted") return self @@ -242,7 +275,9 @@ def play(self, asig, onset: Union[int, float] = 0, out: int = 0, **kwargs): asig = copy.copy(asig) asig.sig = asig.sig.astype(self.backend.dtype) # copy only relevant channels... - nchn = min(asig.channels, self.channels - out) # max number of copyable channels + nchn = min( + asig.channels, self.channels - out + ) # max number of copyable channels # in: [:nchn] out: [out:out+nchn] if id(asig) == sigid: asig = copy.copy(asig) @@ -254,7 +289,7 @@ def play(self, asig, onset: Union[int, float] = 0, out: int = 0, **kwargs): self.srv_asigs.insert(idx, asig) self.srv_curpos.insert(idx, 0) self.srv_outs.insert(idx, out) - if 'block' in kwargs and kwargs['block']: + if "block" in kwargs and kwargs["block"]: if onset > 0: # here really omset and not rt_onset! _LOGGER.warning("blocking inactive with play(onset>0)") else: @@ -294,11 +329,11 @@ def _play_callback(self, in_data, frame_count, time_info, flag): io0 = int((t - tnow) * self.sr) else: io0 = 0 - tmpsig = a.sig[c:c + self.bs - io0] + tmpsig = a.sig[c : c + self.bs - io0] n, nch = tmpsig.shape out = self.srv_outs[i] # .reshape(n, nch) not needed as moved to play - data[io0:io0 + n, out:out + nch] += tmpsig + data[io0 : io0 + n, out : out + nch] += tmpsig self.srv_curpos[i] += n if self.srv_curpos[i] >= a.samples: dellist.append(i) # store for deletion @@ -324,9 +359,9 @@ def __exit__(self, exc_type, exc_value, traceback): def __del__(self): """Backup cleanup, only if context manager wasn't used""" - if hasattr(self, 'stream') and self.stream is not None: + if hasattr(self, "stream") and self.stream is not None: try: self.quit() self.backend.terminate() - except: + except Exception: pass # Ignore cleanup errors during shutdown diff --git a/pya/asig.py b/pya/asig.py index 820267fc..05ede9e6 100644 --- a/pya/asig.py +++ b/pya/asig.py @@ -1,28 +1,25 @@ -from itertools import compress -import numbers import logging -from typing import Iterable -from typing import Optional -from typing import Union +import numbers +from itertools import compress +from typing import Iterable, Optional, Union from warnings import warn -import numpy as np import matplotlib.pyplot as plt +import numpy as np import scipy.interpolate import scipy.signal -from scipy.io import wavfile - from pyamapping import amp_to_db, db_to_amp, linlin -from .helper import spectrum, audio_from_file, padding -from .helper import basicplot +from scipy.io import wavfile +from .helper import audio_from_file, basicplot, padding, spectrum _LOGGER = logging.getLogger(__name__) _LOGGER.addHandler(logging.NullHandler()) class Asig: - """Audio signal class. + """ + Audio signal class. Asig enables manipulation of audio signals in the style of numpy and more. Asig offer functions for plotting (via matplotlib) and playing audio (using the pya.Aserver class) @@ -54,20 +51,29 @@ class Asig: the .bound, .extend and .overwrite properties. """ - def __init__(self, sig: Union[str, int, float, np.ndarray], sr: int = 44100, - label: str = "", channels: int = 1, cn: Optional[list] = None): - """__init__ method + def __init__( + self, + sig: Union[str, int, float, np.ndarray], + sr: int = 44100, + label: str = "", + channels: int = 1, + cn: Optional[list] = None, + ): + """ + Constructor method Parameters ---------- sig: numpy.array or int or float or str - This is a multiple type argument, which all results in Asig.sig being a numpy.array to + This is a multiple type argument, + which all results in Asig.sig being a numpy.array to represent the audio signal. numpy.array for audio signal, str for filepath. Currently support two types of audio loader: - 1) Standard library for .wav, .aiff, and 2) ffmpeg for other such as .mp3. + 1) Standard library for .wav, .aiff + 2) ffmpeg for other such as .mp3. int create x samples of silence, @@ -104,8 +110,7 @@ def __init__(self, sig: Union[str, int, float, np.ndarray], sr: int = 44100, if channels == 1: self.sig = np.zeros(int(sig * sr)).astype(self.dtype) else: - self.sig = np.zeros( - (int(sig * sr), channels)).astype(self.dtype) + self.sig = np.zeros((int(sig * sr), channels)).astype(self.dtype) else: self.sig = np.array(sig).astype(self.dtype) self.cn = cn @@ -140,12 +145,10 @@ def cn(self, val): if all(isinstance(x, str) for x in val): self._cn = val else: - raise TypeError( - "channel names cn need to be a list of string(s).") + raise TypeError("channel names cn need to be a list of string(s).") else: raise ValueError( - "list size doesn't match channel numbers {}".format( - self.channels) + "list size doesn't match channel numbers {}".format(self.channels) ) @property @@ -163,7 +166,8 @@ def dur(self) -> float: return self.samples / self.sr def save_wavfile(self, fname: str = "asig.wav", dtype: str = "float32"): - """Save signal as .wav file, return self. + """ + Save signal as .wav file, return self. Parameters ---------- @@ -193,7 +197,8 @@ def _set_col_names(self): raise TypeError("column names need to be a list of strings") def __getitem__(self, index): - """ Accessing array elements through slicing. + """ + Accessing array elements through slicing. * int, get signal row asig[4]; * slice, range and step slicing asig[4:40:2] # from 4 to 40 every 2 samples; @@ -260,8 +265,7 @@ def __getitem__(self, index): stop = None ridx = slice(start, stop, 1) sr = self.sr - _LOGGER.debug("Time slicing, start: %s, stop: %s", - str(start), str(stop)) + _LOGGER.debug("Time slicing, start: %s, stop: %s", str(start), str(stop)) else: # Dont think there is a usecase. ridx = rindex sr = self.sr @@ -273,8 +277,7 @@ def __getitem__(self, index): cidx = [self.col_name.get(s) for s in cindex] if cidx is None: _LOGGER.error("Input column names does not exist") - cn_new = [self.cn[i] - for i in cidx] if self.cn is not None else None + cn_new = [self.cn[i] for i in cidx] if self.cn is not None else None elif isinstance(cindex[0], bool): cidx = cindex cn_new = list(compress(self.cn, cindex)) @@ -282,8 +285,7 @@ def __getitem__(self, index): try: cidx = list(cindex) cn_new = ( - [self.cn[i] - for i in cindex] if self.cn is not None else None + [self.cn[i] for i in cindex] if self.cn is not None else None ) except (TypeError, ValueError): cidx = slice(0, 0, 0) @@ -314,8 +316,7 @@ def __getitem__(self, index): if sig.ndim == 2 and sig.shape[1] == 1: # Hot fix this to be consistent with bool slciing if not isinstance(cindex[0], bool): - _LOGGER.debug( - "ndim is 2 and channel num is 1, performa np.squeeze") + _LOGGER.debug("ndim is 2 and channel num is 1, performa np.squeeze") sig = np.squeeze(sig) if isinstance(sig, numbers.Number): _LOGGER.debug("signal is scalar, convert to array") @@ -327,8 +328,10 @@ def __getitem__(self, index): @property def x(self): - """Extend mode: this mode allows destination - sig size in assignment to be extended through setitem""" + """ + Extend mode: this mode allows destination + sig size in assignment to be extended through setitem + """ # Set setitem mode to extend self.mix_mode = "extend" return self @@ -337,8 +340,10 @@ def x(self): @property def b(self): - """Bound mode: this mode allows to truncate a source signal - in assignment to a limited destination in setitem.""" + """ + Bound mode: this mode allows to truncate a source signal + in assignment to a limited destination in setitem. + """ # Set setitem mode to bound self.mix_mode = "bound" return self @@ -347,15 +352,18 @@ def b(self): @property def o(self): - """Overwrite mode: this mode cuts and replaces target - selection by source signal on assignment via setitem""" + """ + Overwrite mode: this mode cuts and replaces target + selection by source signal on assignment via setitem + """ self.mix_mode = "overwrite" return self overwrite = o def __setitem__(self, index, value): - """setitem: asig[index] = value. This allows all the methods from getitem: + """ + setitem: asig[index] = value. This allows all the methods from getitem: * numpy style slicing * string/string_list for subsetting based on channel name * time slicing (unit seconds) via dict. @@ -496,24 +504,18 @@ def __setitem__(self, index, value): dn = dshape[0] # ToDo: howto get that faster from ridx alone? sn = src.shape[0] if sn > dn: - self.sig[final_index] = src[:dn] if len( - dshape) == 1 else src[:dn, :] + self.sig[final_index] = src[:dn] if len(dshape) == 1 else src[:dn, :] else: - self.sig[final_index][:sn] = src if len( - dshape) == 1 else src[:, :] + self.sig[final_index][:sn] = src if len(dshape) == 1 else src[:, :] elif mode == "extend": _LOGGER.debug("setitem extend mode") if isinstance(ridx, list): - _LOGGER.error( - "Extend mode not available for row index list" - ) + _LOGGER.error("Extend mode not available for row index list") return self if isinstance(ridx, slice): if ridx.step not in [1, None]: - raise AttributeError( - "Extend mode only available for step-1 slices" - ) + raise AttributeError("Extend mode only available for step-1 slices") if ridx.stop is not None and ridx.stop < self.samples: raise AttributeError( "The current slice does not stop at the end of array." @@ -523,8 +525,7 @@ def __setitem__(self, index, value): dn = dshape[0] sn = src.shape[0] if sn <= dn: # same as bound, since src fits in - self.sig[final_index][:sn] = np.broadcast_to( - src, (sn,) + dshape[1:]) + self.sig[final_index][:sn] = np.broadcast_to(src, (sn,) + dshape[1:]) elif sn > dn: self.sig[final_index] = src[:dn] # now extend by nn = sn-dn additional rows @@ -542,8 +543,7 @@ def __setitem__(self, index, value): nn = ridx.start + sn self.sig = np.r_[ self.sig, - np.zeros( - (nn - self.sig.shape[0],) + self.sig.shape[1:]), + np.zeros((nn - self.sig.shape[0],) + self.sig.shape[1:]), ].astype(self.dtype) if self.sig.ndim == 1: self.sig[-sn:] = src @@ -581,8 +581,9 @@ def __setitem__(self, index, value): self.sig = sig # Update self.sig return self - def resample(self, target_sr: int = 44100, rate: float = 1., kind: str = "linear"): - """Resample signal based on interpolation, can process multichannel signals. + def resample(self, target_sr: int = 44100, rate: float = 1.0, kind: str = "linear"): + """ + Resample signal based on interpolation, can process multichannel signals. Parameters ---------- @@ -599,8 +600,11 @@ def resample(self, target_sr: int = 44100, rate: float = 1., kind: str = "linear Asig with resampled signal. """ times = np.arange(self.samples) / self.sr - tsel = (np.arange(np.floor(self.samples / self.sr * - target_sr / rate)) * rate / target_sr) + tsel = ( + np.arange(np.floor(self.samples / self.sr * target_sr / rate)) + * rate + / target_sr + ) if self.channels == 1: interp_fn = scipy.interpolate.interp1d( times, @@ -611,12 +615,12 @@ def resample(self, target_sr: int = 44100, rate: float = 1., kind: str = "linear fill_value=self.sig[-1], ) return Asig( - interp_fn(tsel), target_sr, - label=self.label + "_resampled", cn=self.cn + interp_fn(tsel), target_sr, label=self.label + "_resampled", cn=self.cn ) else: new_sig = np.ndarray( - shape=(int(self.samples / self.sr * target_sr / rate), self.channels)) + shape=(int(self.samples / self.sr * target_sr / rate), self.channels) + ) for i in range(self.channels): interp_fn = scipy.interpolate.interp1d( times, @@ -629,8 +633,9 @@ def resample(self, target_sr: int = 44100, rate: float = 1., kind: str = "linear new_sig[:, i] = interp_fn(tsel) return Asig(new_sig, target_sr, label=self.label + "_resampled", cn=self.cn) - def play(self, rate: float = 1., server=None, onset=0, channel=0, block=False): - """Play Asig audio via Aserver, using Aserver.default (if existing) + def play(self, rate: float = 1.0, server=None, onset=0, channel=0, block=False): + """ + Play Asig audio via Aserver, using Aserver.default (if existing) kwargs are propagated to Aserver:play(onset=0, out=0) Parameters @@ -639,7 +644,8 @@ def play(self, rate: float = 1., server=None, onset=0, channel=0, block=False): Playback rate (Default value = 1) **kwargs : str 'server' : Aserver - Set which server to play. e.g. s = Aserver(); s.boot(); asig.play(server=s) + Set which server to play. + e.g. s = Aserver(); s.boot(); asig.play(server=s) Returns ------- @@ -647,6 +653,7 @@ def play(self, rate: float = 1., server=None, onset=0, channel=0, block=False): return self """ import pya.aserver + if server is None: server = pya.aserver.Aserver.default if rate == 1 and self.sr == server.sr: @@ -657,10 +664,15 @@ def play(self, rate: float = 1., server=None, onset=0, channel=0, block=False): return self def shift_channel(self, shift: int = 0): - """Shift signal to other channels. This is particular useful for assigning a mono signal to a specific channel. - * shift = 0: does nothing as the same signal is being routed to the same position - * shift > 0: shift channels of self.sig 'right', i.e. from [0,..channels-1] to channels [shift,shift+1,...] - * shift < 0: shift channels of self.sig 'left', i.e. the first shift channels will be discarded. + """ + Shift signal to other channels. + This is particular useful for assigning a mono signal to a specific channel. + * shift = 0: does nothing as the same signal + is being routed to the same position + * shift > 0: shift channels of self.sig 'right', + i.e. from [0,..channels-1] to channels [shift,shift+1,...] + * shift < 0: shift channels of self.sig 'left', + i.e. the first shift channels will be discarded. Parameters ---------- @@ -682,7 +694,7 @@ def shift_channel(self, shift: int = 0): if self.channels == 1: new_sig[:, shift] = self.sig elif shift > 0: - new_sig[:, shift: (shift + self.channels)] = self.sig + new_sig[:, shift : (shift + self.channels)] = self.sig elif shift < 0: new_sig[:] = self.sig[:, -shift:] if self.cn is None: @@ -699,7 +711,8 @@ def shift_channel(self, shift: int = 0): return Asig(new_sig, self.sr, label=self.label + "_routed", cn=new_cn) def mono(self, blend: Optional[list] = None): - """Mix channels to mono signal. Perform sig = np.sum(self.sig_copy * blend, axis=1) + """ + Mix channels to mono signal. Perform sig = np.sum(self.sig_copy * blend, axis=1) Parameters ---------- @@ -722,26 +735,37 @@ def mono(self, blend: Optional[list] = None): raise AttributeError("len(blend) != self.channels") else: sig = np.sum(self.sig * blend, axis=1) - col_names = [ - self.cn[np.argmax(blend)]] if self.cn is not None else None + col_names = [self.cn[np.argmax(blend)]] if self.cn is not None else None return Asig(sig, self.sr, label=self.label + "_blended", cn=col_names) def stereo(self, blend: Optional[list] = None): - """Blend all channels of the signal to stereo. Applicable for any single-/ or multi-channel Asig. + """ + Blend all channels of the signal to stereo. + Applicable for any single-/ or multi-channel Asig. Parameters ---------- blend : list or None - Usage: For mono, blend=(g1, g2), the channel will be broadcated to left, right with g1, g2 gains. + Usage: For mono, blend=(g1, g2), + the channel will be broadcated to left, right with g1, g2 gains. + For stereo signal, blend=(g1, g2), each channel is gain adjusted by g1, g2. - For multichannel: blend = [[list of gains for left channel], [list of gains for right channel]] - Default value = None, resulting in equal distribution to left and right channel + + For multichannel: + blend = [ + [list of gains for left channel], + [list of gains for right channel] + ] + + Default value = None, + resulting in equal distribution to left and right channel Example ------- asig[:,['c1','c2','c3']].stereo[[1, 0.707, 0], [0, 0.707, 1]] mixes channel 'c1' to left, 'c2' to center and 'c3' to right channel - of a new stereo asig. Note that for equal loudness left**2+right**2=1 should be used + of a new stereo asig. + Note that for equal loudness left**2+right**2=1 should be used Returns ------- @@ -766,9 +790,10 @@ def stereo(self, blend: Optional[list] = None): left_sig = np.sum(self.sig * left, axis=1) right_sig = np.sum(self.sig * right, axis=1) else: - msg = """For signal channels > 2, argument blend should be a tuple of two lists, - each list contains the gain for each channel to be mixed. - """ + msg = """ + For signal channels > 2, argument blend should be a tuple of two lists, + each list contains the gain for each channel to be mixed. + """ raise AttributeError(msg) sig = np.stack((left_sig, right_sig), axis=1) @@ -785,7 +810,8 @@ def rewire(self, dic): Example ------- - {(0, 1): 0.2, (5, 0): 0.4}: rewire channel 0 to 1 with gain 0.2, and 5 to 1 with gain 2 + {(0, 1): 0.2, (5, 0): 0.4}: + rewire channel 0 to 1 with gain 0.2, and 5 to 1 with gain 2 leaving other channels unmodified Returns @@ -808,7 +834,8 @@ def pan2(self, pan: float = 0.0): Panning is based on constant power panning, see pan below Behavior depends on nr of channels self.channels * multi-channel signals (self.channels>2) are cut back to stereo and treated as - * stereo signals (self.channels==2) are channelwise attenuated using cos(angle), sin(angle) + * stereo signals (self.channels==2) + are channelwise attenuated using cos(angle), sin(angle) * mono signals (self.channels==1) result in stereo output asigs. Parameters @@ -865,7 +892,7 @@ def remove_DC(self): sig = self.sig - np.mean(self.sig, 0) return Asig(sig, sr=self.sr, label=self.label + "_DCfree", cn=self.cn) - def norm(self, norm: float = 1., in_db: bool = False, dcflag: bool = False): + def norm(self, norm: float = 1.0, in_db: bool = False, dcflag: bool = False): # ToDO add channel_wise argument . default True, currently it is the false. """Normalize signal @@ -894,8 +921,11 @@ def norm(self, norm: float = 1., in_db: bool = False, dcflag: bool = False): return Asig(sig, self.sr, label=self.label + "_normalised", cn=self.cn) def gain(self, amp: Optional[float] = None, db: Optional[numbers.Number] = None): - """Apply gain in amplitude or dB, only use one or the other arguments. Argument can be either a scalar - or a list (to apply individual gain to each channel). The method returns a new asig with gain applied. + """ + Apply gain in amplitude or dB, only use one or the other arguments. + Argument can be either a scalar or a list + (to apply individual gain to each channel). + The method returns a new asig with gain applied. Parameters ---------- @@ -964,7 +994,7 @@ def plot( if fn == "db": def fn(x): - return np.sign(x) * amp_to_db((abs(x) * 2 ** 16 + 1)) + return np.sign(x) * amp_to_db((abs(x) * 2**16 + 1)) elif not callable(fn): msg = "Asig.plot: fn is neither keyword nor function" @@ -1002,7 +1032,10 @@ def get_times(self): return np.linspace(0, (self.samples - 1) / self.sr, self.samples) def __eq__(self, other): - """Check if two asig objects have the same signal. But does not care about sr and others""" + """ + Check if two asig objects have the same signal. + But does not care about sr and others + """ sig_eq = np.array_equal(self.sig, other.sig) sr_eq = self.sr == other.sr return sig_eq and sr_eq @@ -1019,10 +1052,14 @@ def __repr__(self): ) def __mul__(self, other): - """Magic method for multiplying. You can either multiply a scalar or an Asig object. If muliplying an Asig, - you don't always need to have same size arrays as audio signals may different in length. If mix_mode - is set to 'bound' the size is fixed to respect self. If not, the result will respect to whichever the - bigger array is.""" + """ + Magic method for multiplying. + You can either multiply a scalar or an Asig object. + If muliplying an Asig, you don't always need to have same size arrays + as audio signals may different in length. If mix_mode is set to 'bound' the size + is fixed to respect self. If not, the result will respect to whichever the + bigger array is. + """ selfsig = self.sig othersig = other.sig if isinstance(other, Asig) else other if isinstance(othersig, numbers.Number): @@ -1060,13 +1097,16 @@ def __rmul__(self, other): ) def __truediv__(self, other): - """Magic method for division. You can either divide a scalar or an Asig object. + """ + Magic method for division. You can either divide a scalar or an Asig object. Use division with caution, audio signal is common to reach 0 or near, avoid zero division or extremely large result. - If dividing an Asig, you don't always need to have same size arrays as audio signals - may different in length. If mix_mode is set to 'bound' the size is fixed to respect self. - If not, the result will respect to whichever the bigger array is.""" + If dividing an Asig, you don't always need to have same size arrays + as audio signals may different in length. If mix_mode is set to 'bound' the size + is fixed to respect self. If not, the result will respect to whichever + the bigger array is. + """ selfsig = self.sig othersig = other.sig if isinstance(other, Asig) else other if isinstance(othersig, numbers.Number): @@ -1106,10 +1146,13 @@ def __rtruediv__(self, other): ) def __add__(self, other): - """Magic method for adding. You can either add a scalar or an Asig object. If adding an Asig, - you don't always need to have same size arrays as audio signals may different in length. If mix_mode - is set to 'bound' the size is fixed to respect self. If not, the result will respect to whichever the - bigger array is.""" + """ + Magic method for adding. You can either add a scalar or an Asig object. + If adding an Asig, you don't always need to have same size arrays + as audio signals may different in length. If mix_mode is set to 'bound' the size + is fixed to respect self. If not, the result will respect to whichever the + bigger array is. + """ selfsig = self.sig othersig = other.sig if isinstance(other, Asig) else other if isinstance(othersig, numbers.Number): # When other is just a scalar @@ -1146,10 +1189,13 @@ def __radd__(self, other): return Asig(other + self.sig, self.sr, label=self.label + "_added", cn=self.cn) def __sub__(self, other): - """Magic method for subtraction. You can either minus a scalar or an Asig object. If subtracting an Asig, - you don't always need to have same size arrays as audio signals may different in length. If mix_mode - is set to 'bound' the size is fixed to respect self. If not, the result will respect to whichever the - bigger array is.""" + """ + Magic method for subtraction. You can either minus a scalar or an Asig object. + If subtracting an Asig, you don't always need to have same size arrays + as audio signals may different in length. If mix_mode is set to 'bound' the size + is fixed to respect self. If not, the result will respect to whichever the + bigger array is. + """ selfsig = self.sig othersig = other.sig if isinstance(other, Asig) else other if isinstance(othersig, numbers.Number): # When other is just a scalar @@ -1200,7 +1246,9 @@ def find_events( sil_min_dur: float = 0.1, sil_pad: list = [0.001, 0.1], ): - """Locate meaningful 'events' in the signal and create event list. Onset detection. + """ + Locate meaningful 'events' in the signal and create event list. + Onset detection. Parameters ---------- @@ -1214,13 +1262,15 @@ def find_events( minimum duration to be counted as silent (Default value = 0.1) sil_pad : list this allows you to add a small duration before and after the actual - found event locations to the event ranges. If it is a list, you can set the padding (Default value = [0.001) + found event locations to the event ranges. + If it is a list, you can set the padding (Default value = [0.001) 0.1] : Returns ------- _ : Asig - This method returns self. But the list of events can be accessed through self._['events'] + This method returns self. But the list of events + can be accessed through self._['events'] """ if self.channels > 1: msg = """warning: works only with single channel. @@ -1240,7 +1290,7 @@ def find_events( sil_pad_samples = (int(sil_pad * self.sr),) * 2 event_list = [] for i in range(0, self.samples, step_samples): - rms = self[i: i + step_samples].rms() + rms = self[i : i + step_samples].rms() if sil_flag: if rms > sil_thr_amp: # event found sil_flag = False @@ -1256,9 +1306,14 @@ def find_events( if sil_count > sil_min_steps: # event ended # The below line is new. if event_end - event_begin >= evt_min_steps: - event_list.append([event_begin - sil_pad_samples[0], - event_end - step_samples * sil_min_steps + sil_pad_samples[1], ] - ) + event_list.append( + [ + event_begin - sil_pad_samples[0], + event_end + - step_samples * sil_min_steps + + sil_pad_samples[1], + ] + ) sil_flag = True self._["events"] = np.array(event_list) return self @@ -1302,8 +1357,7 @@ def plot_events(self): plt.axvline(x=event[0]) plt.axvline(x=event[1], color="r") except KeyError: - raise ValueError( - "No events found, use find_events() before plotting.") + raise ValueError("No events found, use find_events() before plotting.") def fade_in(self, dur: float = 0.1, curve: float = 1): """Fade in the signal at the beginning @@ -1324,7 +1378,8 @@ def fade_in(self, dur: float = 0.1, curve: float = 1): if nsamp > self.samples: nsamp = self.samples warn("warning: Asig too short for fade_in - adapting fade_in time") - # TODO simplify this if we decide to make mono signal with dimension 1 instead of None. + # TODO simplify this if we decide to make mono signal + # with dimension 1 instead of None. if self.channels == 1: ramp = np.linspace(0, 1, nsamp, dtype="float32") ** curve return Asig( @@ -1335,8 +1390,7 @@ def fade_in(self, dur: float = 0.1, curve: float = 1): ) else: ramp = np.meshgrid( - np.linspace(0, 1, nsamp, dtype="float32"), np.zeros( - self.channels) + np.linspace(0, 1, nsamp, dtype="float32"), np.zeros(self.channels) )[0].T return Asig( np.vstack((self.sig[:nsamp] * ramp, self.sig[nsamp:])), @@ -1364,7 +1418,8 @@ def fade_out(self, dur: float = 0.1, curve: float = 1): if nsamp > self.samples: nsamp = self.samples warn("Asig too short for fade_out - adapting fade_out time") - # TODO simplify this if we decide to make mono signal with dimension 1 instead of None. + # TODO simplify this if we decide to make mono signal + # with dimension 1 instead of None. if self.channels == 1: ramp = np.linspace(1, 0, nsamp, dtype="float32") ** curve return Asig( @@ -1375,8 +1430,7 @@ def fade_out(self, dur: float = 0.1, curve: float = 1): ) else: ramp = np.meshgrid( - np.linspace(1, 0, nsamp, dtype="float32"), np.zeros( - self.channels) + np.linspace(1, 0, nsamp, dtype="float32"), np.zeros(self.channels) )[0].T return Asig( np.vstack((self.sig[:-nsamp], self.sig[-nsamp:] * ramp)), @@ -1404,28 +1458,33 @@ def iirfilter( btype : str Filter type (Default value = 'bandpass') ftype : str - Tthe type of IIR filter. e.g. 'butter', 'cheby1', 'cheby2', 'elip', 'bessel' (Default value = 'butter') + Tthe type of IIR filter. e.g. 'butter', 'cheby1', 'cheby2', 'elip', 'bessel' + (Default value = 'butter') order : int Filter order (Default value = 4) filter : str - The scipy.signal method to call when applying the filter coeffs to the signal. + The scipy.signal method to call + when applying the filter coeffs to the signal. by default it is set to scipy.signal.lfilter (one-dimensional). rp : float - For Chebyshev and elliptic filters, provides the maximum ripple in the passband. (dB) (Default value = None) + For Chebyshev and elliptic filters, + provides the maximum ripple in the passband. (dB) (Default value = None) rs : float - For Chebyshev and elliptic filters, provides the minimum attenuation in the stop band. (dB) (Default value = None) + For Chebyshev and elliptic filters, + provides the minimum attenuation in the stop band. (dB) + (Default value = None) Returns ------- _ : Asig - new Asig with the filter applied. also you can access b, a coefficients by doing self._['b'] + new Asig with the filter applied. + also you can access b, a coefficients by doing self._['b'] and self._['a'] """ # TODO scipy.signal.__getattribute__ error Wn = np.array(cutoff_freqs) * 2 / self.sr - b, a = scipy.signal.iirfilter( - order, Wn, rp=rp, rs=rs, btype=btype, ftype=ftype) + b, a = scipy.signal.iirfilter(order, Wn, rp=rp, rs=rs, btype=btype, ftype=ftype) y = scipy.signal.__getattribute__(filter)(b, a, self.sig, axis=0) aout = Asig(y, self.sr, label=self.label + "_iir") aout._["b"] = b @@ -1434,7 +1493,9 @@ def iirfilter( return aout def plot_freqz(self, worN, **kwargs): - """Plot the frequency response of a digital filter. Perform scipy.signal.freqz then plot the response. + """ + Plot the frequency response of a digital filter. + Perform scipy.signal.freqz then plot the response. TODO Parameters @@ -1475,7 +1536,7 @@ def envelope(self, amps, ts=None, curve=1, kind="linear"): nsteps = len(amps) duration = self.samples / self.sr if nsteps == self.samples: - sig_new = self.sig * amps ** curve + sig_new = self.sig * amps**curve else: if not ts: given_ts = np.linspace(0, duration, nsteps) @@ -1498,13 +1559,22 @@ def envelope(self, amps, ts=None, curve=1, kind="linear"): raise AttributeError("Asig.envelope error: ts not sorted") given_ts = ts if nsteps != self.samples: - interp_fn = scipy.interpolate.interp1d( - given_ts, amps, kind=kind) - sig_new = (self.sig * interp_fn(np.linspace(0, duration, self.samples)) ** curve) + interp_fn = scipy.interpolate.interp1d(given_ts, amps, kind=kind) + sig_new = ( + self.sig + * interp_fn(np.linspace(0, duration, self.samples)) ** curve + ) return Asig(sig_new, self.sr, label=self.label + "_enveloped", cn=self.cn) - def adsr(self, att: float = 0, dec: float = 0.1, sus: float = 0.7, rel: float = 0.1, - curve: int = 1, kind: str = "linear"): + def adsr( + self, + att: float = 0, + dec: float = 0.1, + sus: float = 0.7, + rel: float = 0.1, + curve: int = 1, + kind: str = "linear", + ): """Create and applied a ADSR evelope to signal. Parameters @@ -1542,7 +1612,8 @@ def window(self, win: str = "triang", **kwargs): Parameters ---------- win : str - Type of window check scipy.signal.get_window for avaiable types. (Default value = 'triang') + Type of window check scipy.signal.get_window for avaiable types. + (Default value = 'triang') **kwargs : keyword arguments for scipy.signal.get_window() @@ -1558,12 +1629,15 @@ def window(self, win: str = "triang", **kwargs): if isinstance(winstr, tuple): winstr = win[0] if self.channels == 1: - return Asig(self.sig * scipy.signal.get_window(win, self.samples, **kwargs), - self.sr, label=self.label + "_" + winstr, cn=self.cn) + return Asig( + self.sig * scipy.signal.get_window(win, self.samples, **kwargs), + self.sr, + label=self.label + "_" + winstr, + cn=self.cn, + ) else: for i in range(self.channels): - self.sig[:, - i] *= scipy.signal.get_window(win, self.samples, **kwargs) + self.sig[:, i] *= scipy.signal.get_window(win, self.samples, **kwargs) return Asig(self.sig, self.sr, label=self.label + "_" + winstr, cn=self.cn) def window_op(self, nperseg=64, stride=32, win=None, fn="rms", pad="mirror"): @@ -1680,12 +1754,17 @@ def overlap_add( def to_spec(self): """Return Aspec object which is the rfft of the signal.""" import pya.aspec + return pya.aspec.Aspec(self) def to_stft(self, **kwargs): - """Return Astft object which is the stft of the signal. Keyword arguments are the arguments for - scipy.signal.stft(). """ + """ + Return Astft object which is the stft of the signal. + Keyword arguments are the arguments for + scipy.signal.stft(). + """ import pya.astft + return pya.astft.Astft(self, **kwargs) def to_mfcc( @@ -1700,8 +1779,9 @@ def to_mfcc( preemph=0.95, append_energy=True, ): - """Return Amfcc object. """ + """Return Amfcc object.""" import pya.amfcc + return pya.amfcc.Amfcc( self, label=self.label, @@ -1717,7 +1797,13 @@ def to_mfcc( cn=self.cn, ) - def plot_spectrum(self, offset: float = 0, scale: float = 1.0, xlim: Optional[Iterable] = None, **kwargs): + def plot_spectrum( + self, + offset: float = 0, + scale: float = 1.0, + xlim: Optional[Iterable] = None, + **kwargs, + ): """Plot spectrum of the signal Parameters @@ -1783,10 +1869,11 @@ def plot_spectrum(self, offset: float = 0, scale: float = 1.0, xlim: Optional[It return self def spectrogram(self, *argv, **kvarg): - """Perform sicpy.signal.spectrogram and returns: frequencies, array of times, spectrogram """ - freqs, times, Sxx = scipy.signal.spectrogram( - self.sig, self.sr, *argv, **kvarg) + Perform sicpy.signal.spectrogram and returns: + frequencies, array of times, spectrogram + """ + freqs, times, Sxx = scipy.signal.spectrogram(self.sig, self.sr, *argv, **kvarg) return freqs, times, Sxx def get_size(self): @@ -1794,7 +1881,9 @@ def get_size(self): return self.sig.shape, self.sig.shape[0] / self.sr def append(self, asig, amp=1): - """Apppend an asig with another. Conditions: the appended asig should have the same channels. If + """ + Apppend an asig with another. Conditions: the appended asig + should have the same channels. If appended asig has a different sampling rate, resample it to match the orginal. Parameters @@ -1856,7 +1945,8 @@ def add(self, sig, pos=None, amp=1, onset=None): raise AttributeError("Argument asig has different channels.!") if sr != self.sr: raise AttributeError( - "Dangerous operation, samping rate (sr) not matched. Use resample() first." + "Dangerous operation, samping rate (sr) not matched. " + "Use resample() first." ) else: n = np.shape(sig)[0] @@ -1883,7 +1973,9 @@ def flatten(self): cn=None, ) - def pad(self, width: int = 0, tail: bool = True, constant_values: Union[int, float] = 0): + def pad( + self, width: int = 0, tail: bool = True, constant_values: Union[int, float] = 0 + ): """Pads the signal Parameters @@ -1923,22 +2015,29 @@ def convolve(self, sig, mode: str = "full", method: str = "fft", norm: str = "am mode : str {'full', 'valid', 'same'} A string indicating the size of the output: full - The output is the full discrete linear convolution of the inputs. (Default) + The output is the full discrete linear convolution of the inputs. + (Default) valid - The output consists only of those elements that do not rely on the zero-padding. - self.sr or ins must be at least as large as the other in every dimension. + The output consists only of those elements + that do not rely on the zero-padding. + self.sr or ins must be at least as large + as the other in every dimension. same - The output is the same size as self.sr, centered with respect to the full output. + The output is the same size as self.sr, + centered with respect to the full output. method : str {'auto', 'direct', 'fft'} A string indicating which method to use to calculate the convolution direct Compute directly from sums, the definition of convolution fft (default) - The Fourier Transform is used to perform the convolution by calling fftconvolve + The Fourier Transform is used to perform the convolution + by calling fftconvolve auto - Automatically chooses direct or Fourier method based on an estimate of which is faster. + Automatically chooses direct or Fourier method + based on an estimate of which is faster. norm : str - If "amp" (default value), the result signal will have the same peak as the original signal. + If "amp" (default value), the result signal + will have the same peak as the original signal. Otherwise, no normalization is applied. Returns @@ -1948,8 +2047,7 @@ def convolve(self, sig, mode: str = "full", method: str = "fft", norm: str = "am """ if isinstance(sig, Asig): if sig.sr != self.sr: - _LOGGER.warning( - "sampling rate not matched, perform resampling...") + _LOGGER.warning("sampling rate not matched, perform resampling...") sig = sig.resample(target_sr=self.sr) sig_array = sig.sig sig_size = sig.samples @@ -1959,34 +2057,33 @@ def convolve(self, sig, mode: str = "full", method: str = "fft", norm: str = "am sig_size = len(sig) sig_channels = 1 if sig_array.ndim == 1 else sig_array.shape[1] else: - raise TypeError( - "Illegal type. ir must be an Asig object or an array.") + raise TypeError("Illegal type. ir must be an Asig object or an array.") # Compare size of A B, and pad zeros if needed. if self.samples > sig_size: # pad ir sig_array = padding(sig_array, width=self.samples - sig_size) else: + # TODO somehow, this code is not doing anything? # pad source - asig = padding(self.sig, width=sig_size - self.samples) + _ = padding(self.sig, width=sig_size - self.samples) # Now perform convolution if self.channels == 1: # If sig is a mono signal: result = np.array( - scipy.signal.convolve( - self.sig, sig_array, mode=mode, method=method) + scipy.signal.convolve(self.sig, sig_array, mode=mode, method=method) ) else: if sig_channels > 1 and self.channels != sig_channels: raise ValueError( - "input signal needs to have the same amount of channels as self.sig." + "input signal needs to have the same " + "amount of channels as self.sig." ) # Perform conv on each channel. for i in range(self.channels): a = self.sig[:, i] b = sig_array if sig_channels == 1 else sig_array[:, i] - r_1ch = np.array(scipy.signal.convolve( - a, b, mode=mode, method=method)) + r_1ch = np.array(scipy.signal.convolve(a, b, mode=mode, method=method)) if i == 0: result = np.zeros((len(r_1ch), self.channels)) result[:, i] = r_1ch @@ -2014,4 +2111,6 @@ def apply(self, fn): """ vecfn = np.vectorize(fn) sig_out = vecfn(self.sig) - return Asig(sig_out, sr=self.sr, label=self.label, channels=self.channels, cn=self.cn) + return Asig( + sig_out, sr=self.sr, label=self.label, channels=self.channels, cn=self.cn + ) diff --git a/pya/aspec.py b/pya/aspec.py index 25849b55..8b65973d 100644 --- a/pya/aspec.py +++ b/pya/aspec.py @@ -1,12 +1,12 @@ import logging -from typing import Union, Optional +from typing import Optional, Union import numpy as np import scipy.interpolate import pya.asig -from .helper import basicplot +from .helper import basicplot _LOGGER = logging.getLogger(__name__) _LOGGER.addHandler(logging.NullHandler()) @@ -14,8 +14,14 @@ class Aspec: """Audio spectrum class using rfft""" - def __init__(self, x: Union[pya.asig.Asig, np.ndarray], sr: int = 44100, - label: Optional[str] = None, cn: Optional[list] = None): + + def __init__( + self, + x: Union[pya.asig.Asig, np.ndarray], + sr: int = 44100, + label: Optional[str] = None, + cn: Optional[list] = None, + ): """__init__() method Parameters ---------- @@ -36,7 +42,8 @@ def __init__(self, x: Union[pya.asig.Asig, np.ndarray], sr: int = 44100, self.channels = x.channels self.cn = cn or x.cn elif isinstance(x, np.ndarray): - # TODO. This is in the assumption x is spec. which is wrong. We define x to be the audio signals instead. + # TODO. This is in the assumption x is spec. which is wrong. + # We define x to be the audio signals instead. self.rfftspec = np.array(x) self.sr = sr self.samples = (len(x) - 1) * 2 @@ -57,10 +64,14 @@ def get_duration(self): def to_sig(self): """Convert Aspec into Asig""" - return pya.asig.Asig(np.fft.irfft(self.rfftspec), - sr=self.sr, label=self.label + '_2sig', cn=self.cn) - - def weight(self, weights: list, freqs=None, curve=1, kind='linear'): + return pya.asig.Asig( + np.fft.irfft(self.rfftspec), + sr=self.sr, + label=self.label + "_2sig", + cn=self.cn, + ) + + def weight(self, weights: list, freqs=None, curve=1, kind="linear"): """TODO Parameters @@ -96,18 +107,16 @@ def weight(self, weights: list, freqs=None, curve=1, kind='linear'): weights = np.insert(np.array(weights), -1, weights[-1]) given_freqs = freqs if nfreqs != self.nr_freqs: - interp_fn = scipy.interpolate.interp1d(given_freqs, - weights, kind=kind) + interp_fn = scipy.interpolate.interp1d(given_freqs, weights, kind=kind) # ToDo: curve segmentwise!!! rfft_new = self.rfftspec * interp_fn(self.freqs) ** curve else: - rfft_new = self.rfftspec * weights ** curve - return Aspec(rfft_new, self.sr, - label=self.label + "_weighted", cn=self.cn) + rfft_new = self.rfftspec * weights**curve + return Aspec(rfft_new, self.sr, label=self.label + "_weighted", cn=self.cn) - def plot(self, fn=np.abs, ax=None, - offset=0, scale=1, - xlim=None, ylim=None, **kwargs): + def plot( + self, fn=np.abs, ax=None, offset=0, scale=1, xlim=None, ylim=None, **kwargs + ): """Plot spectrum Parameters @@ -132,14 +141,24 @@ def plot(self, fn=np.abs, ax=None, _ : Asig self """ - _, ax = basicplot(fn(self.rfftspec), self.freqs, channels=self.channels, - cn=self.cn, offset=offset, scale=scale, - ax=ax, typ='plot', - xlabel='freq (Hz)', ylabel=f'{fn.__name__}(freq)', - xlim=xlim, ylim=ylim, **kwargs) + _, ax = basicplot( + fn(self.rfftspec), + self.freqs, + channels=self.channels, + cn=self.cn, + offset=offset, + scale=scale, + ax=ax, + typ="plot", + xlabel="freq (Hz)", + ylabel=f"{fn.__name__}(freq)", + xlim=xlim, + ylim=ylim, + **kwargs, + ) return self def __repr__(self): return "Aspec('{}'): {} x {} @ {} Hz = {:.3f} s".format( - self.label, self.channels, self.samples, - self.sr, self.samples / self.sr) + self.label, self.channels, self.samples, self.sr, self.samples / self.sr + ) diff --git a/pya/astft.py b/pya/astft.py index 379d9085..53064733 100644 --- a/pya/astft.py +++ b/pya/astft.py @@ -1,13 +1,14 @@ from __future__ import absolute_import + import logging -from typing import Union, Optional +from typing import Optional, Union import numpy as np -from scipy.signal import stft, istft +from scipy.signal import istft, stft import pya.asig -from .helper import basicplot +from .helper import basicplot _LOGGER = logging.getLogger(__name__) _LOGGER.addHandler(logging.NullHandler()) @@ -15,15 +16,26 @@ # TODO, check with multichannel class Astft: - """Audio spectrogram (STFT) class, attributes refers to scipy.signal.stft. With an addition - attribute cn being the list of channel names, and label being the name of the Asig + """Audio spectrogram (STFT) class, attributes refers to scipy.signal.stft. + With an addition attribute cn being the list of channel names, + and label being the name of the Asig """ - def __init__(self, x: Union[pya.asig.Asig, np.ndarray], sr: Optional[int] = None, label: str = "STFT", - window: str = 'hann', nperseg: int = 256, noverlap: Optional[int] = None, - nfft: Optional[int] = None, detrend: bool = False, - return_onesided: bool = True, boundary: str = 'zeros', - padded: bool = True, cn: Optional[list] = None): + def __init__( + self, + x: Union[pya.asig.Asig, np.ndarray], + sr: Optional[int] = None, + label: str = "STFT", + window: str = "hann", + nperseg: int = 256, + noverlap: Optional[int] = None, + nfft: Optional[int] = None, + detrend: bool = False, + return_onesided: bool = True, + boundary: str = "zeros", + padded: bool = True, + cn: Optional[list] = None, + ): """__init__() method Parameters @@ -45,26 +57,37 @@ def __init__(self, x: Union[pya.asig.Asig, np.ndarray], sr: Optional[int] = None `None`, the FFT length is `nperseg`. Defaults to `None`. detrend : str or function or bool Specifies how to detrend each segment. If detrend is a string, - it is passed as the type argument to the detrend function. If it is a function, + it is passed as the type argument to the detrend function. + If it is a function, it takes a segment and returns a detrended segment. If detrend is False, no detrending is done. (Default value = False). return_onesided : bool - If True, return a one-sided spectrum for real data. If False return a two-sided spectrum. - Defaults to True, but for complex data, a two-sided spectrum is always returned. (Default value = True) + If True, return a one-sided spectrum for real data. + If False return a two-sided spectrum. + Defaults to True, but for complex data, + a two-sided spectrum is always returned. (Default value = True) boundary : str or None - Specifies whether the input signal is extended at both ends, and how to generate the new values, + Specifies whether the input signal is extended at both ends, + and how to generate the new values, in order to center the first windowed segment on the first input point. This has the benefit of enabling reconstruction of the first input point when the employed window function starts at zero. - Valid options are ['even', 'odd', 'constant', 'zeros', None]. Defaults to ‘zeros’, - for zero padding extension. I.e. [1, 2, 3, 4] is extended to [0, 1, 2, 3, 4, 0] for nperseg=3. (Default value = 'zeros') + Valid options are ['even', 'odd', 'constant', 'zeros', None]. + Defaults to ‘zeros’, + for zero padding extension. + I.e. [1, 2, 3, 4] is extended to [0, 1, 2, 3, 4, 0] for nperseg=3. + (Default value = 'zeros') padded : bool - Specifies whether the input signal is zero-padded at the end to make the signal fit exactly into - an integer number of window segments, so that all of the signal is included in the output. - Defaults to True. Padding occurs after boundary extension, if boundary is not None, and padded is True, + Specifies whether the input signal is zero-padded at the end + to make the signal fit exactly into + an integer number of window segments, + so that all of the signal is included in the output. + Defaults to True. Padding occurs after boundary extension, + if boundary is not None, and padded is True, as is the default. (Default value = True) cn : list, optional - Channel names of the Asig, this will be used for the Astft for consistency. (Default value = None) + Channel names of the Asig, this will be used for the Astft for consistency. + (Default value = None) """ self.window = window self.nperseg = nperseg @@ -91,22 +114,35 @@ def __init__(self, x: Union[pya.asig.Asig, np.ndarray], sr: Optional[int] = None # x is a numpy array instead of asig. self.channels = x.ndim self.samples = len(x) - self.label = 'stft' + self.label = "stft" self.cn = [] if sr is None: - raise AttributeError("sr (sampling rate) is required as an argument if input is a numpy array rather than Asig.") + raise AttributeError( + "sr (sampling rate) is required as an argument " + "if input is a numpy array rather than Asig." + ) else: self.sr = sr sig = x else: - raise TypeError("Unknown data type x, x should be either Asig or numpy.ndarray") - - self.freqs, self.times, self.stft = \ - stft(sig, fs=self.sr, window=window, nperseg=nperseg, - noverlap=noverlap, nfft=nfft, detrend=detrend, - return_onesided=return_onesided, boundary=boundary, - padded=padded, axis=0) + raise TypeError( + "Unknown data type x, x should be either Asig or numpy.ndarray" + ) + + self.freqs, self.times, self.stft = stft( + sig, + fs=self.sr, + window=window, + nperseg=nperseg, + noverlap=noverlap, + nfft=nfft, + detrend=detrend, + return_onesided=return_onesided, + boundary=boundary, + padded=padded, + axis=0, + ) if cn: if len(cn) == self.channels: @@ -131,26 +167,43 @@ def to_sig(self, **kwargs): _ : Asig Asig """ - for k in ['sr', 'window', 'nperseg', 'noverlap', - 'nfft', 'input_onesided', 'boundary']: + for k in [ + "sr", + "window", + "nperseg", + "noverlap", + "nfft", + "input_onesided", + "boundary", + ]: if k in kwargs.keys(): kwargs[k] = self.__getattribute__(k) - if 'sr' in kwargs.keys(): - kwargs['fs'] = kwargs['sr'] - del kwargs['sr'] + if "sr" in kwargs.keys(): + kwargs["fs"] = kwargs["sr"] + del kwargs["sr"] if self.channels == 1: # _ since 1st return value 'times' unused _, sig = istft(self.stft, **kwargs) - return pya.asig.Asig(sig, sr=self.sr, - label=self.label + '_2sig', cn=self.cn) + return pya.asig.Asig( + sig, sr=self.sr, label=self.label + "_2sig", cn=self.cn + ) else: _, sig = istft(self.stft, **kwargs) - return pya.asig.Asig(np.transpose(sig), - sr=self.sr, label=self.label + '_2sig', cn=self.cn) - - def plot(self, fn=lambda x: x, ax=None, - offset=0, scale=1., xlim=None, ylim=None, - show_bar=True, **kwargs): + return pya.asig.Asig( + np.transpose(sig), sr=self.sr, label=self.label + "_2sig", cn=self.cn + ) + + def plot( + self, + fn=lambda x: x, + ax=None, + offset=0, + scale=1.0, + xlim=None, + ylim=None, + show_bar=True, + **kwargs, + ): """Plot spectrogram Parameters @@ -173,15 +226,30 @@ def plot(self, fn=lambda x: x, ax=None, _ : Asig self """ - self.im, ax = basicplot(fn(np.abs(self.stft)), (self.times, self.freqs), - channels=self.channels, - cn=self.cn, offset=offset, scale=scale, - ax=ax, typ='spectrogram', show_bar=show_bar, - xlabel='time', xlim=xlim, ylim=ylim, **kwargs) - ax.set_ylabel('freq') + self.im, ax = basicplot( + fn(np.abs(self.stft)), + (self.times, self.freqs), + channels=self.channels, + cn=self.cn, + offset=offset, + scale=scale, + ax=ax, + typ="spectrogram", + show_bar=show_bar, + xlabel="time", + xlim=xlim, + ylim=ylim, + **kwargs, + ) + ax.set_ylabel("freq") return self def __repr__(self): return "Astft('{}'): {} x {} @ {} Hz = {:.3f} s cn={}".format( - self.label, self.channels, self.samples, - self.sr, self.samples / self.sr, self.cn) + self.label, + self.channels, + self.samples, + self.sr, + self.samples / self.sr, + self.cn, + ) diff --git a/pya/backend/Dummy.py b/pya/backend/Dummy.py index 96c35d0d..9a4ccf19 100644 --- a/pya/backend/Dummy.py +++ b/pya/backend/Dummy.py @@ -1,17 +1,22 @@ -from .base import BackendBase, StreamBase -import numpy as np -from threading import Thread import time +from threading import Thread +import numpy as np -class DummyBackend(BackendBase): +from pya.backend.base import BackendBase, StreamBase - dtype = 'float32' +__all__ = ["DummyBackend", "DummyStream"] + + +class DummyBackend(BackendBase): + dtype = "float32" range = 1 bs = 256 def __init__(self): - self.dummy_devices = [dict(maxInputChannels=10, maxOutputChannels=10, index=0, name="DummyDevice")] + self.dummy_devices = [ + dict(maxInputChannels=10, maxOutputChannels=10, index=0, name="DummyDevice") + ] def get_device_count(self): return len(self.dummy_devices) @@ -25,13 +30,28 @@ def get_default_input_device_info(self): def get_default_output_device_info(self): return self.dummy_devices[0] - def open(self, *args, input_flag, output_flag, rate, frames_per_buffer, channels, stream_callback=None, **kwargs): - checker = 'maxInputChannels' if input_flag else 'maxOutputChannels' + def open( + self, + *args, + input_flag, + output_flag, + rate, + frames_per_buffer, + channels, + stream_callback=None, + **kwargs, + ): + checker = "maxInputChannels" if input_flag else "maxOutputChannels" if channels > self.dummy_devices[0][checker]: raise OSError("[Errno -9998] Invalid number of channels") - stream = DummyStream(input_flag=input_flag, output_flag=output_flag, - rate=rate, frames_per_buffer=frames_per_buffer, channels=channels, - stream_callback=stream_callback) + stream = DummyStream( + input_flag=input_flag, + output_flag=output_flag, + rate=rate, + frames_per_buffer=frames_per_buffer, + channels=channels, + stream_callback=stream_callback, + ) stream.start_stream() return stream @@ -43,8 +63,15 @@ def terminate(self): class DummyStream(StreamBase): - - def __init__(self, input_flag, output_flag, frames_per_buffer, rate, channels, stream_callback): + def __init__( + self, + input_flag, + output_flag, + frames_per_buffer, + rate, + channels, + stream_callback, + ): self.input_flag = input_flag self.output_flag = output_flag self.rate = rate @@ -58,8 +85,9 @@ def __init__(self, input_flag, output_flag, frames_per_buffer, rate, channels, s def stop_stream(self): self._is_active = False - while (self.in_thread and self.in_thread.is_alive()) or \ - (self.out_thread and self.out_thread.is_alive()): + while (self.in_thread and self.in_thread.is_alive()) or ( + self.out_thread and self.out_thread.is_alive() + ): time.sleep(0.1) def close(self): @@ -67,7 +95,9 @@ def close(self): def _generate_data(self): while self._is_active: - sig = np.zeros(self.frames_per_buffer * self.channels, dtype=DummyBackend.dtype) + sig = np.zeros( + self.frames_per_buffer * self.channels, dtype=DummyBackend.dtype + ) self.stream_callback(sig, frame_count=None, time_info=None, flag=None) time.sleep(0.05) diff --git a/pya/backend/Jupyter.py b/pya/backend/Jupyter.py index 710871ae..e9e9159d 100644 --- a/pya/backend/Jupyter.py +++ b/pya/backend/Jupyter.py @@ -1,28 +1,35 @@ -from .base import BackendBase, StreamBase - import asyncio import threading -from functools import partial -from IPython.display import Javascript, HTML, display + +from IPython.display import HTML, Javascript, display + +from pya.backend.base import BackendBase, StreamBase try: import websockets except ImportError: websockets = None +__all__ = ["JupyterBackend", "JupyterStream"] -class JupyterBackend(BackendBase): - dtype = 'float32' +class JupyterBackend(BackendBase): + dtype = "float32" range = 1 bs = 4096 # streaming introduces lack which has to be covered by the buffer def __init__(self, port=8765, proxy_suffix=None): if not websockets: - raise Exception("JupyterBackend requires 'websockets' but it could not be imported. " - "Did you miss installing optional 'remote' requirements?") - - self.dummy_devices = [dict(maxInputChannels=0, maxOutputChannels=2, index=0, name="JupyterBackend")] + raise Exception( + "JupyterBackend requires 'websockets' but it could not be imported. " + "Did you miss installing optional 'remote' requirements?" + ) + + self.dummy_devices = [ + dict( + maxInputChannels=0, maxOutputChannels=2, index=0, name="JupyterBackend" + ) + ] self.port = port self.proxy_suffix = proxy_suffix if self.proxy_suffix is not None: @@ -41,11 +48,20 @@ def get_default_output_device_info(self): return self.dummy_devices[0] def open(self, *args, channels, rate, stream_callback=None, **kwargs): - display(HTML("
You are using the experimental Jupyter backend. " - "Note that this backend is not feature complete and does not support recording so far. " - "User experience may vary depending on the network latency.
")) - stream = JupyterStream(channels=channels, rate=rate, stream_callback=stream_callback, port=self.port, - proxy_suffix=self.proxy_suffix) + display( + HTML( + '
You are using the experimental Jupyter backend. ' # noqa E501 + "Note that this backend is not feature complete and does not support recording so far. " # noqa E501 + "User experience may vary depending on the network latency.
" + ) + ) + stream = JupyterStream( + channels=channels, + rate=rate, + stream_callback=stream_callback, + port=self.port, + proxy_suffix=self.proxy_suffix, + ) stream.start_stream() return stream @@ -57,7 +73,6 @@ def terminate(self): class JupyterStream(StreamBase): - def __init__(self, channels, rate, stream_callback, port, proxy_suffix): self.rate = rate self.channels = channels @@ -69,7 +84,7 @@ async def bridge(websocket): async for _ in websocket: buffer = self.stream_callback(None, None, None, None) # print(buffer) - await websocket.send(buffer.reshape(-1, 1, order='F').tobytes()) + await websocket.send(buffer.reshape(-1, 1, order="F").tobytes()) async def ws_runner(): async with websockets.serve(bridge, "0.0.0.0", 8765): @@ -85,9 +100,10 @@ def loop_thread(loop): self.loop = asyncio.new_event_loop() self.thread = threading.Thread(target=loop_thread, args=(self.loop,)) - # self.thread.daemon = True # allow program to shutdown even if the thread is alive + # allow program to shutdown even if the thread is alive + # self.thread.daemon = True - url_suffix = f':{port}' if proxy_suffix is None else proxy_suffix + url_suffix = f":{port}" if proxy_suffix is None else proxy_suffix self.client = Javascript( f""" @@ -191,7 +207,8 @@ def loop_thread(loop): } console.log("PyaJSClient: Websocket client loaded.") - """) + """ # noqa E501 + ) @staticmethod def set_buffer_threshold(buffer_limit): diff --git a/pya/backend/PyAudio.py b/pya/backend/PyAudio.py index df9b83ff..47547eaa 100644 --- a/pya/backend/PyAudio.py +++ b/pya/backend/PyAudio.py @@ -1,11 +1,15 @@ -from .base import BackendBase +import time import pyaudio -import time +from pya.backend.base import BackendBase -class PyAudioBackend(BackendBase): +__all__ = [ + "PyAudioBackend", +] + +class PyAudioBackend(BackendBase): _boot_delay = 0.5 # a short delay to prevent PyAudio racing conditions bs = 512 @@ -13,13 +17,15 @@ def __init__(self, format=pyaudio.paFloat32): self.pa = pyaudio.PyAudio() self.format = format if format == pyaudio.paInt16: - self.dtype = 'int16' + self.dtype = "int16" self.range = 32767 elif format == pyaudio.paFloat32: - self.dtype = 'float32' # for pyaudio.paFloat32 + self.dtype = "float32" # for pyaudio.paFloat32 self.range = 1.0 else: - raise AttributeError(f"Aserver: currently unsupported pyaudio format {self.format}") + raise AttributeError( + f"Aserver: currently unsupported pyaudio format {self.format}" + ) def get_device_count(self): return self.pa.get_device_count() @@ -33,16 +39,34 @@ def get_default_input_device_info(self): def get_default_output_device_info(self): return self.pa.get_default_output_device_info() - def open(self, rate, channels, input_flag, output_flag, frames_per_buffer, - input_device_index=None, output_device_index=None, start=True, - input_host_api_specific_stream_info=None, output_host_api_specific_stream_info=None, - stream_callback=None): - stream = self.pa.open(rate=rate, channels=channels, format=self.format, input=input_flag, output=output_flag, - input_device_index=input_device_index, output_device_index=output_device_index, - frames_per_buffer=frames_per_buffer, start=start, - input_host_api_specific_stream_info=input_host_api_specific_stream_info, - output_host_api_specific_stream_info=output_host_api_specific_stream_info, - stream_callback=stream_callback) + def open( + self, + rate, + channels, + input_flag, + output_flag, + frames_per_buffer, + input_device_index=None, + output_device_index=None, + start=True, + input_host_api_specific_stream_info=None, + output_host_api_specific_stream_info=None, + stream_callback=None, + ): + stream = self.pa.open( + rate=rate, + channels=channels, + format=self.format, + input=input_flag, + output=output_flag, + input_device_index=input_device_index, + output_device_index=output_device_index, + frames_per_buffer=frames_per_buffer, + start=start, + input_host_api_specific_stream_info=input_host_api_specific_stream_info, + output_host_api_specific_stream_info=output_host_api_specific_stream_info, + stream_callback=stream_callback, + ) time.sleep(self._boot_delay) # give stream some time to be opened completely return stream diff --git a/pya/backend/__init__.py b/pya/backend/__init__.py index b2ec81ce..60c44580 100644 --- a/pya/backend/__init__.py +++ b/pya/backend/__init__.py @@ -1,21 +1,25 @@ -from .Dummy import DummyBackend import logging +from pya.backend.Dummy import DummyBackend +from pya.helper.backend import determine_backend + _LOGGER = logging.getLogger(__name__) _LOGGER.addHandler(logging.NullHandler()) +__all__ = ["DummyBackend", "determine_backend"] try: - from .Jupyter import JupyterBackend + from pya.backend.Jupyter import JupyterBackend as JupyterBackend + + __all__.append("JupyterBackend") except ImportError: # pragma: no cover _LOGGER.warning("Jupyter backend not found.") pass try: - from .PyAudio import PyAudioBackend + from pya.backend.PyAudio import PyAudioBackend as PyAudioBackend + + __all__.append("PyAudioBackend") except ImportError: # pragma: no cover _LOGGER.warning("PyAudio backend not found.") pass - - -from ..helper.backend import determine_backend diff --git a/pya/backend/base.py b/pya/backend/base.py index c773b8a8..e38cb4ea 100644 --- a/pya/backend/base.py +++ b/pya/backend/base.py @@ -1,8 +1,7 @@ -from abc import abstractmethod, ABC +from abc import ABC, abstractmethod class BackendBase(ABC): - @abstractmethod def get_device_count(self): raise NotImplementedError @@ -33,7 +32,6 @@ def process_buffer(self, *args, **kwargs): class StreamBase(ABC): - @abstractmethod def is_active(self): raise NotImplementedError diff --git a/pya/helper/__init__.py b/pya/helper/__init__.py index 1c37b5cf..2873b81a 100644 --- a/pya/helper/__init__.py +++ b/pya/helper/__init__.py @@ -1,5 +1,6 @@ # from .helpers import audio_from_file, buf_to_float, spectrum, audio_from_file # from .helpers import normalize, device_info, find_device # from .helpers import padding, shift_bit_length -from .helpers import * -from .visualization import basicplot, gridplot +from .helpers import * # noqa: F403 +from .visualization import basicplot as basicplot +from .visualization import gridplot as gridplot diff --git a/pya/helper/backend.py b/pya/helper/backend.py index 47162f24..3f7424b7 100644 --- a/pya/helper/backend.py +++ b/pya/helper/backend.py @@ -1,26 +1,35 @@ -from typing import Optional, TYPE_CHECKING +from typing import TYPE_CHECKING, Optional if TYPE_CHECKING: from pya.backend.base import BackendBase - from pya.backend.PyAudio import PyAudioBackend from pya.backend.Jupyter import JupyterBackend + from pya.backend.PyAudio import PyAudioBackend + + +__all__ = [ + "get_server_info", + "try_pyaudio_backend", + "try_jupyter_backend", + "determine_backend", +] def get_server_info(): - import re import json - import requests + import re + import ipykernel import notebook.notebookapp + import requests + kernel_id = re.search( - "kernel-(.*).json", - ipykernel.connect.get_connection_file() + "kernel-(.*).json", ipykernel.connect.get_connection_file() ).group(1) servers = notebook.notebookapp.list_running_servers() for s in servers: response = requests.get( requests.compat.urljoin(s["url"], "api/sessions"), - params={"token": s.get("token", "")} + params={"token": s.get("token", "")}, ) for n in json.loads(response.text): if n["kernel"]["id"] == kernel_id: @@ -31,6 +40,7 @@ def get_server_info(): def try_pyaudio_backend(**kwargs) -> Optional["PyAudioBackend"]: try: from pya.backend.PyAudio import PyAudioBackend + return PyAudioBackend(**kwargs) except ImportError: return None @@ -38,11 +48,18 @@ def try_pyaudio_backend(**kwargs) -> Optional["PyAudioBackend"]: def try_jupyter_backend(port, **kwargs) -> Optional["JupyterBackend"]: import os + from pya.backend.Jupyter import JupyterBackend + server_info = get_server_info() - if server_info is None or (server_info['hostname'] in ['localhost', '127.0.0.1'] and not force_webaudio): + if server_info is None or ( + server_info["hostname"] in ["localhost", "127.0.0.1"] + # TODO commented out the `force_webaudio` condition below, + # because it was undefined + # `and not force_webaudio` + ): return None # use default local backend - if os.environ.get('BINDER_SERVICE_HOST'): + if os.environ.get("BINDER_SERVICE_HOST"): return JupyterBackend(port=port, proxy_suffix=f"/proxy/{port}", **kwargs) else: return JupyterBackend(port=port, **kwargs) diff --git a/pya/helper/codec.py b/pya/helper/codec.py index b6ea021c..40d4f502 100644 --- a/pya/helper/codec.py +++ b/pya/helper/codec.py @@ -1,19 +1,39 @@ """ -Audio codec module supporting high-quality audio file reading with consistent float32 output. -Supports WAV, AIFF, FLAC (via SoundFile) and MP3 (via FFmpeg) while maintaining maximum precision. +Audio codec module supporting high-quality audio file reading +with consistent float32 output. +Supports WAV, AIFF, FLAC (via SoundFile) and MP3 (via FFmpeg) +while maintaining maximum precision. """ -import sys -import subprocess -import re -import time import os -import threading -from warnings import warn import queue +import re +import subprocess +import sys +import threading +import time -import soundfile as sf import numpy as np +import soundfile as sf + +__all__ = [ + "DecodeError", + "NoFileError", + "NoBackendError", + "UnsupportedError", + "BitWidthError", + "FFmpegError", + "FFmpegNotInstalledError", + "FFmpegReadTimeoutError", + "CommunicationError", + "BaseAudioFile", + "SoundFileAudioFile", + "QueueReaderThread", + "popen_multiple", + "ffmpeg_available", + "FFmpegAudioFile", + "audio_read", +] COMMANDS = ("ffmpeg", "avconv") @@ -296,7 +316,7 @@ def __init__(self, filename, block_size=4096): @property def raw_str_info(self) -> str: - """Example info: 'duration: 00:00:00.81, start: 0.025057, bitrate: 84 kb/sstream #0:0: audio: mp3 (mp3float), 44100 hz, mono, fltp, 82 kb/s'""" + """Example info: 'duration: 00:00:00.81, start: 0.025057, bitrate: 84 kb/sstream #0:0: audio: mp3 (mp3float), 44100 hz, mono, fltp, 82 kb/s'""" # noqa: E501 return self._raw_str_info def _get_info(self): @@ -329,7 +349,7 @@ def _parse_info(self, str_info): """Given relevant data from the ffmpeg output, set audio parameter fields on this object. Example: 'duration: 00:00:00.81, start: 0.025057, bitrate: 84 kb/sstream #0:0: audio: mp3 (mp3float), 44100 hz, mono, fltp, 82 kb/s' - """ + """ # noqa: E501 # Sample rate. match = re.search(r"(\d+) hz", str_info) if match: @@ -356,7 +376,12 @@ def _parse_info(self, str_info): match = re.search(r"duration: (\d+):(\d+):(\d+).(\d)", str_info) if match: durparts = list(map(int, match.groups())) - self._duration = (durparts[0] * 60 * 60 + durparts[1] * 60 + durparts[2] + float(durparts[3]) / 10) + self._duration = ( + durparts[0] * 60 * 60 + + durparts[1] * 60 + + durparts[2] + + float(durparts[3]) / 10 + ) else: self._duration = 0 diff --git a/pya/helper/helpers.py b/pya/helper/helpers.py index f0b3c0d3..e9df1779 100644 --- a/pya/helper/helpers.py +++ b/pya/helper/helpers.py @@ -1,18 +1,36 @@ # Collection of small helper functions -import numpy as np -from scipy.fftpack import fft -from .codec import audio_read -import logging import decimal +import logging import math +import numpy as np +from scipy.fftpack import fft + +from .codec import audio_read -class _error(Exception): - pass +__all__ = [ + "spectrum", + "normalize", + "audio_from_file", + "buf_to_float", + "_try_initializing_pyaudio", + "device_info", + "find_device", + "padding", + "is_pow2", + "next_pow2", + "round_half_up", + "rolling_window", + "signal_to_frame", + "magspec", + "powspec", +] def spectrum(sig, samples, channels, sr): - """Return spectrum of a given signal. This method return spectrum matrix if input signal is multi-channels. + """ + Return spectrum of a given signal. + This method return spectrum matrix if input signal is multi-channels. Parameters ---------- @@ -52,9 +70,9 @@ def normalize(d): def audio_from_file(path: str): - '''Load an audio buffer using audio_read. + """Load an audio buffer using audio_read. Returns a tuple of (samples, samplerate) where samples is a numpy float32 array. - ''' + """ y = [] with audio_read(path) as input_file: sr_native = input_file.samplerate @@ -91,9 +109,9 @@ def buf_to_float(x, n_bytes=2, dtype=np.float32): The input data buffer cast to floating point """ # Invert the scale of the data - scale = 1. / float(1 << ((8 * n_bytes) - 1)) + scale = 1.0 / float(1 << ((8 * n_bytes) - 1)) # Construct the format string - fmt = '= min_input and dev['maxOutputChannels'] >= min_output: + if ( + dev["maxInputChannels"] >= min_input + and dev["maxOutputChannels"] >= min_output + ): res.append(dev) return res def padding(x, width, tail=True, constant_values=0): - """Pad signal with certain width, support 1-3D tensors. + """Pad signal with certain width, support 1-3D tensors. Use it to add silence to a signal TODO: CHECK pad array @@ -148,7 +167,7 @@ def padding(x, width, tail=True, constant_values=0): x : np.ndarray A numpy array width : int - The amount of padding. + The amount of padding. tail : bool If true pad to the tail, else pad to the start. constant_values : int or float or None @@ -161,13 +180,19 @@ def padding(x, width, tail=True, constant_values=0): """ pad = (0, width) if tail else (width, 0) if x.ndim == 1: - return np.pad(x, (pad), mode='constant', constant_values=constant_values) + return np.pad(x, (pad), mode="constant", constant_values=constant_values) elif x.ndim == 2: - return np.pad(x, (pad, (0, 0)), mode='constant', constant_values=constant_values) + return np.pad( + x, (pad, (0, 0)), mode="constant", constant_values=constant_values + ) elif x.ndim == 3: - return np.pad(x, ((0, 0), pad, (0, 0)), mode='constant', constant_values=constant_values) + return np.pad( + x, ((0, 0), pad, (0, 0)), mode="constant", constant_values=constant_values + ) else: - raise AttributeError("only support ndim 1 or 2, 3. For higher please just use np.pad ") + raise AttributeError( + "only support ndim 1 or 2, 3. For higher please just use np.pad " + ) def is_pow2(val): @@ -176,7 +201,7 @@ def is_pow2(val): def next_pow2(x): - """Find the closest pow of 2 that is great or equal or x, + """Find the closest pow of 2 that is great or equal or x, based on shift_bit_length Parameters @@ -196,7 +221,11 @@ def next_pow2(x): def round_half_up(number): """Round up if >= .5""" - return int(decimal.Decimal(number).quantize(decimal.Decimal('1'), rounding=decimal.ROUND_HALF_UP)) + return int( + decimal.Decimal(number).quantize( + decimal.Decimal("1"), rounding=decimal.ROUND_HALF_UP + ) + ) def rolling_window(a, window, step=1): @@ -215,7 +244,8 @@ def signal_to_frame(sig, n_per_frame, frame_step, window=None, stride_trick=True n_per_frame : int Number of samples each frame frame_step : int - Number of samples after the start of the previous frame that the next frame should begin. + Number of samples after the start of the previous + frame that the next frame should begin. window : numpy.ndarray or None A window array, e.g, stride_trick : bool @@ -243,8 +273,12 @@ def signal_to_frame(sig, n_per_frame, frame_step, window=None, stride_trick=True win = np.ones(n_per_frame) frames = rolling_window(padsignal, window=n_per_frame, step=frame_step) else: - indices = np.tile(np.arange(0, n_per_frame), (numframes, 1)) + np.tile( - np.arange(0, numframes * frame_step, frame_step), (n_per_frame, 1)).T + indices = ( + np.tile(np.arange(0, n_per_frame), (numframes, 1)) + + np.tile( + np.arange(0, numframes * frame_step, frame_step), (n_per_frame, 1) + ).T + ) indices = np.array(indices, dtype=np.int32) frames = padsignal[indices] if window is not None: @@ -273,14 +307,16 @@ def magspec(frames, NFFT): Each row will be the magnitude spectrum of the corresponding frame. """ if np.shape(frames)[1] > NFFT: - logging.warning(f'frame length {np.shape(frames)[1]} is greater than FFT size {NFFT}, ' - f'frame will be truncated. Increase NFFT to avoid.') + logging.warning( + f"frame length {np.shape(frames)[1]} is greater than FFT size {NFFT}, " + f"frame will be truncated. Increase NFFT to avoid." + ) complex_spec = np.fft.rfft(frames, NFFT) return np.abs(complex_spec) def powspec(frames, NFFT): - """Compute the power spectrum of each frame in frames, + """Compute the power spectrum of each frame in frames, first comeputer the magnitude spectrum Parameters @@ -293,7 +329,7 @@ def powspec(frames, NFFT): Returns ------- _ : numpy array - Power spectrum of the framed signal. + Power spectrum of the framed signal. Each row has the size of NFFT / 2 + 1 due to rfft. """ return 1.0 / NFFT * np.square(magspec(frames, NFFT)) diff --git a/pya/helper/visualization.py b/pya/helper/visualization.py index 92f1c5eb..028c860e 100644 --- a/pya/helper/visualization.py +++ b/pya/helper/visualization.py @@ -1,19 +1,35 @@ from __future__ import absolute_import -import matplotlib.pyplot as plt + import math -import numpy as np + import matplotlib.gridspec as grd +import matplotlib.pyplot as plt +import numpy as np from mpl_toolkits.axes_grid1 import make_axes_locatable +__all__ = ["basicplot", "gridplot"] -def basicplot(data: np.ndarray, ticks, channels, offset=0, scale=1, - cn=None, ax=None, typ='plot', cmap='inferno', - xlim=None, ylim=None, xlabel='', ylabel='', - show_bar=False, - **kwargs): + +def basicplot( + data: np.ndarray, + ticks, + channels, + offset=0, + scale=1, + cn=None, + ax=None, + typ="plot", + cmap="inferno", + xlim=None, + ylim=None, + xlabel="", + ylabel="", + show_bar=False, + **kwargs, +): """Basic version of the plot for pya, this can be directly used by Asig. Aspec/Astft/Amfcc will have different extra setting - and type. + and type. Parameters ---------- @@ -34,27 +50,32 @@ def basicplot(data: np.ndarray, ticks, channels, offset=0, scale=1, # offset is the spacing between channel, # scale is can shrink the signal just for visualization purpose. # Plot everything on top of each other. - if typ == 'plot': + if typ == "plot": p = ax.plot(ticks, data, **kwargs) # return p, ax - elif typ == 'spectrogram': + elif typ == "spectrogram": # ticks is (times, freqs) - p = ax.pcolormesh(ticks[0], ticks[1], data, - cmap=plt.get_cmap(cmap), **kwargs) - elif typ == 'mfcc': + p = ax.pcolormesh( + ticks[0], ticks[1], data, cmap=plt.get_cmap(cmap), **kwargs + ) + elif typ == "mfcc": p = ax.pcolormesh(data, cmap=plt.get_cmap(cmap), **kwargs) else: - if typ == 'plot': + if typ == "plot": for idx, val in enumerate(data.T): p = ax.plot(ticks, idx * offset + val * scale, **kwargs) ax.set_xlabel(xlabel) if cn: ax.text(0, (idx + 0.1) * offset, cn[idx]) - elif typ == 'spectrogram': + elif typ == "spectrogram": for idx in range(data.shape[1]): - p = ax.pcolormesh(ticks[0], idx * offset + scale * ticks[1], - data[:, idx, :], cmap=plt.get_cmap(cmap), - **kwargs) + p = ax.pcolormesh( + ticks[0], + idx * offset + scale * ticks[1], + data[:, idx, :], + cmap=plt.get_cmap(cmap), + **kwargs, + ) if cn: ax.text(0, (idx + 0.1) * offset, cn[idx]) ax.set_yticklabels([]) @@ -66,7 +87,7 @@ def basicplot(data: np.ndarray, ticks, channels, offset=0, scale=1, # Colorbar if show_bar: divider = make_axes_locatable(ax) - cax = divider.append_axes('right', size="2%", pad=0.03) + cax = divider.append_axes("right", size="2%", pad=0.03) _ = plt.colorbar(p, cax=cax) # Add return p, ax @@ -83,7 +104,7 @@ def gridplot(pya_objects, colwrap=1, cbar_ratio=0.04, figsize=None): # plot all 4 different pya objects in 1 column, amfcc and astft use pcolormesh so colorbar will # be displayed as well - gridplot([asig, amfcc, aspec, astft], colwrap=2, + gridplot([asig, amfcc, aspec, astft], colwrap=2, cbar_ratio=0.08, figsize=[10, 10]); Parameters @@ -105,7 +126,8 @@ def gridplot(pya_objects, colwrap=1, cbar_ratio=0.04, figsize=None): fig : plt.figure() The plt.figure() object """ - from .. import Asig, Amfcc, Astft, Aspec + from .. import Amfcc, Asig, Aspec, Astft + nplots = len(pya_objects) if colwrap > nplots: @@ -125,8 +147,7 @@ def gridplot(pya_objects, colwrap=1, cbar_ratio=0.04, figsize=None): wratio.append(odd_weight) if i % 2 else wratio.append(even_weight) fig = plt.figure(figsize=figsize, constrained_layout=True) - grid = grd.GridSpec(nrow, ncol, - figure=fig, width_ratios=wratio, wspace=0.01) + grid = grd.GridSpec(nrow, ncol, figure=fig, width_ratios=wratio, wspace=0.01) total_idx = ncol * nrow for i in range(total_idx): @@ -135,9 +156,13 @@ def gridplot(pya_objects, colwrap=1, cbar_ratio=0.04, figsize=None): if idx < nplots: ax = plt.subplot(grid[i]) # Title is object type + label - title = pya_objects[idx].__repr__().split('(')[0] + ': ' + pya_objects[idx].label + title = ( + pya_objects[idx].__repr__().split("(")[0] + + ": " + + pya_objects[idx].label + ) # Truncate if str too long - title = (title[:30] + "..." if len(title) > 30 else title) + title = title[:30] + "..." if len(title) > 30 else title ax.set_title(title) if isinstance(pya_objects[idx], Asig): pya_objects[idx].plot(ax=ax) diff --git a/pya/ugen.py b/pya/ugen.py index e7e18b1e..06772bac 100644 --- a/pya/ugen.py +++ b/pya/ugen.py @@ -1,14 +1,19 @@ +from typing import Optional, Union + import numpy as np from scipy import signal -from typing import Optional, Union from . import Asig from .helper import normalize def get_num_of_rows(dur: Optional[float], n_rows: Optional[int], sr: int): - """Return total number of samples. If dur is set, return dur*sr, if num_samples is set, return num_samples, - if both set, raise an AttributeError. Only use one of the two. + """ + Return total number of samples. + If dur is set, return dur*sr, + if num_samples is set, return num_samples, + if both set, raise an AttributeError. + Only use one of the two. """ if dur and n_rows is None: return int(dur * sr) @@ -17,7 +22,9 @@ def get_num_of_rows(dur: Optional[float], n_rows: Optional[int], sr: int): elif n_rows and dur is None: return int(n_rows) else: - raise AttributeError("Only use either dur or n_rows to specify the number of rows of the signal.") + raise AttributeError( + "Only use either dur or n_rows to specify the number of rows of the signal." + ) class Ugen(Asig): @@ -38,12 +45,21 @@ class Ugen(Asig): >>> # Make a white noise, another option is 'pink', at 44100Hz for 1second. >>> noi = Ugen().noise(type='white') """ + def __init__(self): pass - def sine(self, freq: Union[int, float] = 440, amp: Union[int, float] = 1.0, - dur: Optional[float] = None, n_rows: Optional[int] = None, - sr: int = 44100, channels: int = 1, cn: Optional[list] = None, label: str = "sine"): + def sine( + self, + freq: Union[int, float] = 440, + amp: Union[int, float] = 1.0, + dur: Optional[float] = None, + n_rows: Optional[int] = None, + sr: int = 44100, + channels: int = 1, + cn: Optional[list] = None, + label: str = "sine", + ): """Generate Sine signal Asig object. Parameters @@ -53,15 +69,18 @@ def sine(self, freq: Union[int, float] = 440, amp: Union[int, float] = 1.0, amp : int, float signal amplitude (Default value = 1.0) dur : float - duration in second. dur and n_rows only use one of the two. (Default value = 1.0) + duration in second. dur and n_rows only use one of the two. + (Default value = 1.0) n_rows : int - number of rows (samples). dur and n_rows only use one of the two(Default value = None) + number of rows (samples). dur and n_rows only use one of the two + (Default value = None) sr : int sampling rate (Default value = 44100) channels : int number of channels (Default value = 1) cn : list of string - channel names as a list. The size needs to match the number of channels (Default value = None) + channel names as a list. The size needs to match the number of channels + (Default value = None) label : string identifier of the object (Default value = "sine") @@ -70,15 +89,25 @@ def sine(self, freq: Union[int, float] = 440, amp: Union[int, float] = 1.0, Asig """ length = get_num_of_rows(dur, n_rows, sr) - sig = amp * np.sin(2 * np.pi * freq * np.linspace(0, length / sr, length, endpoint=False)) + sig = amp * np.sin( + 2 * np.pi * freq * np.linspace(0, length / sr, length, endpoint=False) + ) if channels > 1: sig = np.repeat(sig, channels) sig = sig.reshape((length, channels)) return Asig(sig, sr=sr, label=label, channels=channels, cn=cn) - def cos(self, freq: Union[int, float] = 440, amp: Union[int, float] = 1.0, - dur: Optional[float] = None, n_rows: Optional[int] = None, - sr: int = 44100, channels: int = 1, cn: Optional[list] = None, label: str = "cosine"): + def cos( + self, + freq: Union[int, float] = 440, + amp: Union[int, float] = 1.0, + dur: Optional[float] = None, + n_rows: Optional[int] = None, + sr: int = 44100, + channels: int = 1, + cn: Optional[list] = None, + label: str = "cosine", + ): """Generate Cosine signal Asig object. Parameters @@ -88,15 +117,18 @@ def cos(self, freq: Union[int, float] = 440, amp: Union[int, float] = 1.0, amp : int, float signal amplitude (Default value = 1.0) dur : int, float - duration in second. dur and num_rows only use one of the two. (Default value = 1.0) + duration in second. dur and num_rows only use one of the two. + (Default value = 1.0) n_rows : int - number of rows (samples). dur and num_rows only use one of the two(Default value = None) + number of rows (samples). dur and num_rows only use one of the two + (Default value = None) sr : int sampling rate (Default value = 44100) channels : int number of channels (Default value = 1) cn : list of string - channel names as a list. The size needs to match the number of channels (Default value = None) + channel names as a list. The size needs to match the number of channels + (Default value = None) label : string identifier of the object (Default value = "cosine") @@ -105,15 +137,27 @@ def cos(self, freq: Union[int, float] = 440, amp: Union[int, float] = 1.0, Asig """ length = get_num_of_rows(dur, n_rows, sr) - sig = amp * np.cos(2 * np.pi * freq * np.linspace(0, length / sr, length, endpoint=False)) + sig = amp * np.cos( + 2 * np.pi * freq * np.linspace(0, length / sr, length, endpoint=False) + ) if channels > 1: sig = np.repeat(sig, channels) sig = sig.reshape((length, channels)) return Asig(sig, sr=sr, label=label, channels=channels, cn=cn) - def square(self, freq=440, amp=1.0, dur=None, n_rows=None, - duty=0.5, sr=44100, sample_shift=0.5, - channels=1, cn=None, label="square"): + def square( + self, + freq=440, + amp=1.0, + dur=None, + n_rows=None, + duty=0.5, + sr=44100, + sample_shift=0.5, + channels=1, + cn=None, + label="square", + ): """Generate square wave signal Asig object. Parameters @@ -123,9 +167,11 @@ def square(self, freq=440, amp=1.0, dur=None, n_rows=None, amp : int, float signal amplitude (Default value = 1.0) dur : int, float - duration in second. dur and num_rows only use one of the two. (Default value = 1.0) + duration in second. dur and num_rows only use one of the two. + (Default value = 1.0) num_rows : int - number of row (samples). dur and num_rows only use one of the two(Default value = None) + number of row (samples). dur and num_rows only use one of the two + (Default value = None) duty : float duty cycle (Default value = 0.4) sr : int @@ -133,7 +179,8 @@ def square(self, freq=440, amp=1.0, dur=None, n_rows=None, channels : int number of channels (Default value = 1) cn : list of string - channel names as a list. The size needs to match the number of channels (Default value = None) + channel names as a list. The size needs to match the number of channels + (Default value = None) label : string identifier of the object (Default value = "square") @@ -143,15 +190,32 @@ def square(self, freq=440, amp=1.0, dur=None, n_rows=None, """ length = get_num_of_rows(dur, n_rows, sr) sig = amp * signal.square( - 2 * np.pi * freq * ((sample_shift / length) + np.linspace(0, length / sr, length, endpoint=False)), - duty=duty) + 2 + * np.pi + * freq + * ( + (sample_shift / length) + + np.linspace(0, length / sr, length, endpoint=False) + ), + duty=duty, + ) if channels > 1: sig = np.repeat(sig, channels) sig = sig.reshape((length, channels)) return Asig(sig, sr=sr, label=label, channels=channels, cn=cn) - def sawtooth(self, freq=440, amp=1.0, dur=None, n_rows=None, - width=1., sr=44100, channels=1, cn=None, label="sawtooth"): + def sawtooth( + self, + freq=440, + amp=1.0, + dur=None, + n_rows=None, + width=1.0, + sr=44100, + channels=1, + cn=None, + label="sawtooth", + ): """Generate sawtooth wave signal Asig object. Parameters @@ -161,9 +225,11 @@ def sawtooth(self, freq=440, amp=1.0, dur=None, n_rows=None, amp : int, float signal amplitude (Default value = 1.0) dur : int, float - duration in second. dur and num_rows only use one of the two. (Default value = 1.0) + duration in second. dur and num_rows only use one of the two. + (Default value = 1.0) num_rows : int - number of rows (samples). dur and num_rows only use one of the two(Default value = None) + number of rows (samples). dur and num_rows only use one of the two. + (Default value = None) width : float tooth width (Default value = 1.0) sr : int @@ -171,7 +237,8 @@ def sawtooth(self, freq=440, amp=1.0, dur=None, n_rows=None, channels : int number of channels (Default value = 1) cn : list of string - channel names as a list. The size needs to match the number of channels (Default value = None) + channel names as a list. The size needs to match the number of channels + (Default value = None) label : string identifier of the object (Default value = "sawtooth") @@ -180,33 +247,48 @@ def sawtooth(self, freq=440, amp=1.0, dur=None, n_rows=None, Asig """ length = get_num_of_rows(dur, n_rows, sr) - sig = amp * signal.sawtooth(2 * np.pi * freq * np.linspace(0, length / sr, length, endpoint=False), - width=width) + sig = amp * signal.sawtooth( + 2 * np.pi * freq * np.linspace(0, length / sr, length, endpoint=False), + width=width, + ) if channels > 1: sig = np.repeat(sig, channels) sig = sig.reshape((length, channels)) return Asig(sig, sr=sr, label=label, channels=channels, cn=cn) - def noise(self, type="white", amp=1.0, dur=None, n_rows=None, - sr=44100, channels=1, cn=None, label="noise"): + def noise( + self, + type="white", + amp=1.0, + dur=None, + n_rows=None, + sr=44100, + channels=1, + cn=None, + label="noise", + ): """Generate noise signal Asig object. Parameters ---------- type : string - type of noise, currently available: 'white' and 'pink' (Default value = 'white') + type of noise, currently available: 'white' and 'pink' + (Default value = 'white') amp : int, float signal amplitude (Default value = 1.0) dur : int, float - duration in second. dur and num_rows only use one of the two. (Default value = 1.0) + duration in second. dur and num_rows only use one of the two. + (Default value = 1.0) num_rows : int - number of rows (samples). dur and num_rows only use one of the two(Default value = None) + number of rows (samples). dur and num_rows only use one of the two + (Default value = None) sr : int sampling rate (Default value = 44100) channels : int number of channels (Default value = 1) cn : list of string - channel names as a list. The size needs to match the number of channels (Default value = None) + channel names as a list. The size needs to match the number of channels + (Default value = None) label : string identifier of the object (Default value = "square") @@ -217,7 +299,7 @@ def noise(self, type="white", amp=1.0, dur=None, n_rows=None, length = get_num_of_rows(dur, n_rows, sr) # Question is that will be that be too slow.] if type == "white" or type == "white_noise": - sig = (np.random.rand(length) - 0.5) * 2. * amp + sig = (np.random.rand(length) - 0.5) * 2.0 * amp elif type == "pink" or type == "pink_noise": # Based on Paul Kellet's method diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..1b42236e --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,91 @@ +[project] +name = "pya" +version = "0.5.2" +description = 'Python audio coding classes - for dsp, sound synthesis and and sonification' +authors = [ + { name = "Thomas Hermann", email = "thermann@techfak.uni-bielefeld.de"}, + { name = "Jiajun Yang", email = ""}, + { name = "Alexander Neumann ...", email = ""}, + + { name = "Dennis Reinsch", email = "dreinsch@techfak.uni-bielefeld.de"}, + { name = "Jannis Müller", email = ""}, +] +maintainers = [ + {name = "Fabian Hommel", email = "fhommel@techfak.uni-bielefeld.de"} +] +readme = "README.md" +keywords=["sonification", "sound synthesis"] +requires-python = ">=3.11" +license = "MIT" +license-files = ["LICEN[CS]E*"] +classifiers = [ + "Programming Language :: Python :: 3", + "Development Status :: 4 - Beta", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", + "Topic :: Multimedia :: Sound/Audio", + "Topic :: Multimedia :: Sound/Audio :: Analysis", + "Topic :: Multimedia :: Sound/Audio :: Sound Synthesis" +] +dependencies = [ + "pyamapping", + "scipy>=1.7.3", + "matplotlib>=3.5.3", + "soundfile>=0.13.0" +] + +[project.urls] +github = "https://github.com/interactive-sonification/pya" + + + +[project.optional-dependencies] +example-notebooks = ["notebook"] +pyaudio = [ "pyaudio>=0.2.12" ] +remote = [ "notebook", "websocket", "ipywidgets" ] + +[tool.uv] +dev-dependencies = [ + "tox", + "pytest", + "pytest-cov", + "pre-commit", + "sphinx==7.2.6", + "sphinx-rtd-theme==2.0.0", + "myst-parser", + "pydocstyle", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["pya"] + +[tool.ruff] +line-length = 88 +exclude = ["examples/", "dev/"] + +[tool.ruff.lint] +select = ["E", "F", "I", "T10"] # E/F = flake8, I = isort +ignore = ["E702"] + +[tool.ruff.lint.isort] +known-first-party = ["pya"] + +[tool.ruff.lint.pydocstyle] +convention = "numpy" + +[tool.pytest.ini_options] +addopts = "--cov=pya --cov-report=lcov --cov-report=term-missing" +testpaths = ["tests"] + +[tool.coverage.run] +source = ["pya"] + +[tool.coverage.report] +exclude_lines = [ + "pragma: no cover", + "raise NotImplementedError", +] diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 3f59cf94..00000000 --- a/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -pyamapping -scipy>=1.7.3 -matplotlib>=3.5.3 -soundfile>=0.13.0 diff --git a/requirements_doc.txt b/requirements_doc.txt deleted file mode 100644 index 5cfe83a1..00000000 --- a/requirements_doc.txt +++ /dev/null @@ -1,4 +0,0 @@ -Sphinx==7.2.6 -sphinx-autoapi==3.0.0 -sphinx-rtd-theme==2.0.0 -sphinx-mdinclude diff --git a/requirements_pyaudio.txt b/requirements_pyaudio.txt deleted file mode 100644 index 3d851244..00000000 --- a/requirements_pyaudio.txt +++ /dev/null @@ -1,2 +0,0 @@ -pyaudio>=0.2.12; python_version >= '3.10' -pyaudio>=0.2.11; python_version < '3.10' diff --git a/requirements_remote.txt b/requirements_remote.txt deleted file mode 100644 index 3e82c3ce..00000000 --- a/requirements_remote.txt +++ /dev/null @@ -1,3 +0,0 @@ -notebook -websockets -ipywidgets diff --git a/requirements_test.txt b/requirements_test.txt deleted file mode 100644 index 3cdea4b6..00000000 --- a/requirements_test.txt +++ /dev/null @@ -1,3 +0,0 @@ -pytest -pytest-cov -pycodestyle diff --git a/setup.cfg b/setup.cfg deleted file mode 100644 index df4ba59e..00000000 --- a/setup.cfg +++ /dev/null @@ -1,7 +0,0 @@ -[metadata] -description-file = README.md - -[check-manifest] -ignore = - .travis.yml - pya/notes.md diff --git a/setup.py b/setup.py deleted file mode 100644 index c6559caa..00000000 --- a/setup.py +++ /dev/null @@ -1,52 +0,0 @@ -from setuptools import setup, find_packages -import os -import codecs -from os.path import join - -project_root = os.path.dirname(os.path.abspath(__file__)) - -version = {} -REQUIRED_EXTRAS = {} -with open(join(project_root, 'pya/version.py')) as read_file: - exec(read_file.read(), version) - -with open(join(project_root, 'requirements.txt')) as read_file: - REQUIRED = read_file.read().splitlines() - -with open(join(project_root, 'requirements_remote.txt')) as read_file: - REQUIRED_EXTRAS['remote'] = read_file.read().splitlines() - -with open(join(project_root, 'requirements_pyaudio.txt')) as read_file: - REQUIRED_EXTRAS['pyaudio'] = read_file.read().splitlines() - -with open(join(project_root, 'requirements_test.txt')) as read_file: - REQUIRED_TEST = read_file.read().splitlines() - -with codecs.open(join(project_root, 'README.md'), 'r', 'utf-8') as f: - long_description = ''.join(f.readlines()) - -setup( - name='pya', - version=version['__version__'], - description='Python audio coding classes - for dsp and sonification', - long_description=long_description, - long_description_content_type="text/markdown", - license='MIT', - packages=find_packages(exclude=["tests"]), - install_requires=REQUIRED, - extras_require=REQUIRED_EXTRAS, - tests_require=REQUIRED_TEST, - author='Thomas Hermann', - author_email='thermann@techfak.uni-bielefeld.de', - keywords=['sonification, sound synthesis'], - url='https://github.com/interactive-sonification/pya', - classifiers=[ - "Programming Language :: Python :: 3", - "Development Status :: 4 - Beta", - "License :: OSI Approved :: MIT License", - "Operating System :: OS Independent", - "Topic :: Multimedia :: Sound/Audio", - "Topic :: Multimedia :: Sound/Audio :: Analysis", - "Topic :: Multimedia :: Sound/Audio :: Sound Synthesis" - ], -) diff --git a/tests/test_amfcc.py b/tests/test_amfcc.py index 06606a46..424f6691 100644 --- a/tests/test_amfcc.py +++ b/tests/test_amfcc.py @@ -1,8 +1,10 @@ # from pya import Amfcc -from pya import Asig, Ugen, Amfcc +import warnings from unittest import TestCase + import numpy as np -import warnings + +from pya import Amfcc, Ugen class TestAmfcc(TestCase): @@ -16,7 +18,7 @@ def tearDown(self): def test_construct(self): # If x is asig, it will ignore sr but use x.sr instead. amfcc = Amfcc(self.test_asig, sr=45687) - self.assertEqual(amfcc.sr, 8000, msg='sr does not match.') + self.assertEqual(amfcc.sr, 8000, msg="sr does not match.") # if x is ndarray and sr is not given with self.assertRaises(AttributeError): @@ -37,11 +39,11 @@ def test_get_attributes(self): def test_hopsize_greater_than_npframe(self): with warnings.catch_warnings(record=True): - amfcc = Amfcc(self.test_asig, hopsize=100, n_per_frame=50) + _ = Amfcc(self.test_asig, hopsize=100, n_per_frame=50) def test_nfft_not_pow2(self): with warnings.catch_warnings(record=True): - amfcc = Amfcc(self.test_asig, nfft=23) + _ = Amfcc(self.test_asig, nfft=23) def test_nowindowing(self): amfcc = Amfcc(self.test_asig, window=False) @@ -49,8 +51,12 @@ def test_nowindowing(self): self.assertTrue(np.array_equal(result, amfcc.window)) def test_preemphasis(self): - self.assertTrue(np.array_equal(np.array([0., 1., 1.5, 2., 2.5]), - Amfcc.preemphasis(np.arange(5), coeff=0.5))) + self.assertTrue( + np.array_equal( + np.array([0.0, 1.0, 1.5, 2.0, 2.5]), + Amfcc.preemphasis(np.arange(5), coeff=0.5), + ) + ) def test_melfb(self): fb = Amfcc.mel_filterbanks(8000) # Using default @@ -68,4 +74,4 @@ def test_plot_with_multichannel(self): asig = Ugen().sine(channels=2) amfcc = asig.to_mfcc() with warnings.catch_warnings(record=True): - amfcc.plot() \ No newline at end of file + amfcc.plot() diff --git a/tests/test_arecorder.py b/tests/test_arecorder.py index 27718dbc..9298f81b 100644 --- a/tests/test_arecorder.py +++ b/tests/test_arecorder.py @@ -1,52 +1,56 @@ # Test arecorder class. -import time -from pya import Arecorder, Aserver, find_device +import importlib.util from unittest import TestCase, mock -import pytest + import numpy as np +import pytest -try: - import pyaudio - has_pyaudio = True -except ImportError: - has_pyaudio = False - - -FAKE_INPUT = {'index': 0, - 'structVersion': 2, - 'name': 'Mock Input', - 'hostApi': 0, - 'maxInputChannels': 1, - 'maxOutputChannels': 0, - 'defaultLowInputLatency': 0.04852607709750567, - 'defaultLowOutputLatency': 0.01, - 'defaultHighInputLatency': 0.05868480725623583, - 'defaultHighOutputLatency': 0.1, - 'defaultSampleRate': 44100.0} - -FAKE_OUTPUT = {'index': 1, - 'structVersion': 2, - 'name': 'Mock Output', - 'hostApi': 0, - 'maxInputChannels': 2, - 'maxOutputChannels': 0, - 'defaultLowInputLatency': 0.01, - 'defaultLowOutputLatency': 0.02, - 'defaultHighInputLatency': 0.03, - 'defaultHighOutputLatency': 0.04, - 'defaultSampleRate': 44100.0} - -FAKE_AUDIO_INTERFACE = {'index': 2, - 'structVersion': 2, - 'name': 'Mock Audio Interface', - 'hostApi': 0, - 'maxInputChannels': 14, - 'maxOutputChannels': 14, - 'defaultLowInputLatency': 0.01, - 'defaultLowOutputLatency': 0.02, - 'defaultHighInputLatency': 0.03, - 'defaultHighOutputLatency': 0.04, - 'defaultSampleRate': 48000.0} +from pya import Arecorder + +has_pyaudio = importlib.util.find_spec("pyaudio") is not None + + +FAKE_INPUT = { + "index": 0, + "structVersion": 2, + "name": "Mock Input", + "hostApi": 0, + "maxInputChannels": 1, + "maxOutputChannels": 0, + "defaultLowInputLatency": 0.04852607709750567, + "defaultLowOutputLatency": 0.01, + "defaultHighInputLatency": 0.05868480725623583, + "defaultHighOutputLatency": 0.1, + "defaultSampleRate": 44100.0, +} + +FAKE_OUTPUT = { + "index": 1, + "structVersion": 2, + "name": "Mock Output", + "hostApi": 0, + "maxInputChannels": 2, + "maxOutputChannels": 0, + "defaultLowInputLatency": 0.01, + "defaultLowOutputLatency": 0.02, + "defaultHighInputLatency": 0.03, + "defaultHighOutputLatency": 0.04, + "defaultSampleRate": 44100.0, +} + +FAKE_AUDIO_INTERFACE = { + "index": 2, + "structVersion": 2, + "name": "Mock Audio Interface", + "hostApi": 0, + "maxInputChannels": 14, + "maxOutputChannels": 14, + "defaultLowInputLatency": 0.01, + "defaultLowOutputLatency": 0.02, + "defaultHighInputLatency": 0.03, + "defaultHighOutputLatency": 0.04, + "defaultSampleRate": 48000.0, +} class MockRecorder(mock.MagicMock): @@ -74,14 +78,17 @@ def get_default_output_device_info(self): class MockBackend: """Mock audio backend for testing""" + def __init__(self, **kwargs): - self.dummy_devices = [{ - 'index': 0, - 'maxInputChannels': 2, - 'maxOutputChannels': 2, - 'defaultSampleRate': 44100 - }] - self.dtype = 'float32' + self.dummy_devices = [ + { + "index": 0, + "maxInputChannels": 2, + "maxOutputChannels": 2, + "defaultSampleRate": 44100, + } + ] + self.dtype = "float32" self.range = 1.0 self.bs = 256 @@ -106,6 +113,7 @@ def terminate(self): class MockStream: """Mock audio stream for testing""" + def __init__(self): self._active = True @@ -148,15 +156,14 @@ class TestArecorder(TestArecorderBase): class TestMockArecorder(TestCase): - @pytest.mark.skipif(not has_pyaudio, reason="requires pyaudio to be installed") def test_mock_arecorder(self): mock_recorder = MockRecorder() - with mock.patch('pyaudio.PyAudio', return_value=mock_recorder): + with mock.patch("pyaudio.PyAudio", return_value=mock_recorder): ar = Arecorder() self.assertEqual( - "Mock Input", - ar.backend.get_default_input_device_info()['name']) + "Mock Input", ar.backend.get_default_input_device_info()["name"] + ) ar.boot() self.assertTrue(mock_recorder.open.called) ar.record() @@ -168,6 +175,6 @@ def test_mock_arecorder(self): # ar.stop() # Dont know how to mock the stop. # TODO How to mock a result. - # Mock multiple input devices. + # Mock multiple input devices. ar.set_device(2, reboot=True) # Set to multiple device self.assertEqual(ar.max_in_chn, 14) diff --git a/tests/test_aserver.py b/tests/test_aserver.py index 1c6a9f60..bd5f24a9 100644 --- a/tests/test_aserver.py +++ b/tests/test_aserver.py @@ -1,16 +1,19 @@ +import time from unittest import TestCase -from pya import * + import numpy as np -import time +from pya.aserver import Aserver +from pya.asig import Asig +from pya.backend.Dummy import DummyBackend -class TestAserver(TestCase): +class TestAserver(TestCase): def setUp(self) -> None: self.backend = DummyBackend() self.sig = np.sin(2 * np.pi * 440 * np.linspace(0, 1, 44100)) self.asine = Asig(self.sig, sr=44100, label="test_sine") - self.max_channels = self.backend.dummy_devices[0]['maxOutputChannels'] + self.max_channels = self.backend.dummy_devices[0]["maxOutputChannels"] def test_default_server(self): Aserver.startup_default_server(backend=self.backend, bs=512, channels=4) @@ -38,7 +41,10 @@ def test_custom_channels(self): self.assertFalse(s.is_active) def test_invalid_channels(self): - """Raise an exception if booting with channels greater than max channels of the device. Dummy has 10""" + """ + Raise an exception if booting with channels greater than max channels of the + device. Dummy has 10 + """ ch = 100 s = Aserver(device=0, channels=ch, backend=self.backend) with self.assertRaises(OSError): @@ -114,9 +120,10 @@ def test_quit_not_booted(self): def test_incompatible_backend(self): s = Aserver(backend=self.backend) - sig = np.sin(2 * np.pi * 440 * np.linspace(0, 1, 44100) * np.iinfo(np.int16).max).astype(np.int16) + sig = np.sin( + 2 * np.pi * 440 * np.linspace(0, 1, 44100) * np.iinfo(np.int16).max + ).astype(np.int16) asine = Asig(sig, sr=44100) s.boot() asine.play(server=s) s.quit() - diff --git a/tests/test_asig.py b/tests/test_asig.py index 2f5643ea..100aedb4 100644 --- a/tests/test_asig.py +++ b/tests/test_asig.py @@ -1,22 +1,23 @@ +from math import inf from unittest import TestCase, mock -from unittest.mock import patch -from pya import Asig + import numpy as np -from math import inf -import os + +from pya import Asig class TestAsig(TestCase): """Unit Tests for Asig""" + def setUp(self): self.sig = np.sin(2 * np.pi * 100 * np.linspace(0, 1, 44100)) self.asine = Asig(self.sig, sr=44100, label="test_sine") - self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=['sine']) + self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=["sine"]) self.sig2ch = np.repeat(self.sig, 2).reshape((44100, 2)) - self.astereo = Asig(self.sig2ch, sr=44100, label="sterep", cn=['l', 'r']) + self.astereo = Asig(self.sig2ch, sr=44100, label="sterep", cn=["l", "r"]) self.sig16ch = np.repeat(self.sig, 16).reshape((44100, 16)) self.asine16ch = Asig(self.sig16ch, sr=44100, label="test_sine_16ch") - self.asigconst = Asig(1.0, sr=100, label="constant signal", cn=['0']) + 0.5 + self.asigconst = Asig(1.0, sr=100, label="constant signal", cn=["0"]) + 0.5 def tearDown(self): pass @@ -30,17 +31,22 @@ def test_asig_constructor(self): def test_asig_plot(self): self.asine.plot() - self.astereo.plot(offset=1., scale=0.5) + self.astereo.plot(offset=1.0, scale=0.5) def test_duration(self): - self.assertEqual(self.asine.get_duration(), 1.) - get_time = self.asine.get_times() - self.assertTrue(np.array_equal(np.linspace(0, - (self.asine.samples - 1) / self.asine.sr, - self.asine.samples), self.asine.get_times())) + self.assertEqual(self.asine.get_duration(), 1.0) + _ = self.asine.get_times() + self.assertTrue( + np.array_equal( + np.linspace( + 0, (self.asine.samples - 1) / self.asine.sr, self.asine.samples + ), + self.asine.get_times(), + ) + ) def test_dur_property(self): - self.assertEqual(self.asine.dur, 1.) + self.assertEqual(self.asine.dur, 1.0) def test_fader(self): result = self.asine.fade_in(dur=0.2) @@ -59,19 +65,19 @@ def test_channels(self): self.assertEqual(4, as1.channels) def test_cn(self): - self.assertEqual(self.astereo.cn, ['l', 'r']) - self.astereo.cn = ['left', 'right'] # Test changing the cn - self.assertEqual(self.astereo.cn, ['left', 'right']) + self.assertEqual(self.astereo.cn, ["l", "r"]) + self.astereo.cn = ["left", "right"] # Test changing the cn + self.assertEqual(self.astereo.cn, ["left", "right"]) with self.assertRaises(ValueError): - self.astereo.cn = ['left', 'right', 'middle'] + self.astereo.cn = ["left", "right", "middle"] with self.assertRaises(TypeError): # If list is not string only, TypeError self.astereo.cn = ["b", 10] with self.assertRaises(TypeError): # If list is not string only, TypeError - asig = Asig(1000, channels=3, cn=3) + _ = Asig(1000, channels=3, cn=3) - self.assertEqual(self.astereo.cn, ['left', 'right']) + self.assertEqual(self.astereo.cn, ["left", "right"]) def test_remove_DC(self): result = self.asigconst.remove_DC() @@ -79,11 +85,11 @@ def test_remove_DC(self): result = Asig(100, channels=2) + 0.25 result[:, 1] = 0.5 self.assertEqual([0.25, 0.5], list(np.max(result.sig, 0))) - self.assertEqual([0., 0.], list(result.remove_DC().sig.max(axis=0))) + self.assertEqual([0.0, 0.0], list(result.remove_DC().sig.max(axis=0))) def test_norm(self): result = self.astereo.norm() - result = self.astereo.norm(norm=1., dcflag=True) + result = self.astereo.norm(norm=1.0, dcflag=True) self.assertEqual(1, np.max(result.sig)) result = self.astereo.norm(norm=2, dcflag=True) self.assertEqual(2, np.max(result.sig)) @@ -96,24 +102,28 @@ def test_gain(self): current_max_amplitude = np.max(self.astereo.sig) result = self.astereo.gain() # by default amp=1. nothing change. - self.assertEqual(current_max_amplitude, np.max(result.sig), "gain() should not change anything") + self.assertEqual( + current_max_amplitude, + np.max(result.sig), + "gain() should not change anything", + ) - result = self.astereo.gain(amp=2.) + result = self.astereo.gain(amp=2.0) self.assertEqual(2, np.max(result.sig)) - result = self.astereo.gain(db=3.) + result = self.astereo.gain(db=3.0) with self.assertRaises(AttributeError): - _ = self.astereo.gain(amp=1, db=3.) + _ = self.astereo.gain(amp=1, db=3.0) - result = self.astereo.gain(amp=0.) + result = self.astereo.gain(amp=0.0) self.assertEqual(0, np.max(result.sig), "amp 0 should result in 0") def test_rms(self): - result = self.asine16ch.rms() + _ = self.asine16ch.rms() def test_plot(self): self.asine.plot(xlim=(0, 1), ylim=(-1, 1)) - self.asine.plot(fn='db') + self.asine.plot(fn="db") self.astereo.plot(offset=1) self.asine16ch.plot(offset=1, scale=0.5) @@ -126,8 +136,10 @@ def test_add(self): self.assertIsInstance(adding, Asig) self.assertTrue(np.array_equal([10, 12, 14, 16], adding.sig)) - # asig + ndarray actually we don't encourage that. Because of sampling rate may differ - # also because ndarray + asig works. so it is strongly against adding asig with ndarray. + # asig + ndarray actually we don't encourage that. + # Because of sampling rate may differ + # also because ndarray + asig works. + # so it is strongly against adding asig with ndarray. # just maker another asig and add both together. adding = a + b0 self.assertIsInstance(adding, Asig) @@ -162,14 +174,16 @@ def test_mul(self): # Testing multiplication beween asig and asig, or asig with a scalar. a = Asig(np.arange(4), sr=2) a2 = Asig(np.arange(8), sr=2) - a4ch = Asig(np.ones((4, 4)), sr=2) - a4ch2 = Asig(np.ones((8, 4)), sr=2) + _ = Asig(np.ones((4, 4)), sr=2) + _ = Asig(np.ones((8, 4)), sr=2) self.assertTrue(np.array_equal([0, 4, 8, 12], (a * 4).sig)) self.assertTrue(np.array_equal([0, 4, 8, 12], (4 * a).sig)) self.assertTrue(np.array_equal([0, 1, 4, 9], (a * a).sig)) self.assertTrue(np.array_equal([0, 1, 4, 9], (a.bound * a2).sig)) - self.assertTrue(np.array_equal([0., 1., 4., 9., 4., 5., 6., 7.], (a.x * a2).sig)) + self.assertTrue( + np.array_equal([0.0, 1.0, 4.0, 9.0, 4.0, 5.0, 6.0, 7.0], (a.x * a2).sig) + ) def test_subtract(self): a = Asig(np.arange(4), sr=2) @@ -182,16 +196,16 @@ def test_subtract(self): b = Asig(np.ones(6), sr=2) self.assertTrue(np.array_equal([-1, 0, 1, 2], (a.bound - b).sig)) with self.assertRaises(ValueError): - adding = a - b + _ = a - b self.assertTrue(np.array_equal([-1, 0, 1, 2, -1, -1], (a.x - b).sig)) def test_division(self): # Testing multiplication beween asig and asig, or asig with a scalar. # a = Asig(np.arange(4), sr=2) - a2 = Asig(np.arange(8), sr=2) + _ = Asig(np.arange(8), sr=2) a4ch = Asig(np.ones((4, 4)), sr=2) - a4ch2 = Asig(np.ones((8, 4)), sr=2) + _ = Asig(np.ones((8, 4)), sr=2) self.assertTrue(np.array_equal([0, 0.25, 0.5, 0.75], (a / 4).sig)) self.assertTrue(np.allclose([inf, 4, 2, 1.33333333], (4 / a).sig)) @@ -199,37 +213,75 @@ def test_division(self): def test_windowing(self): asig = Asig(np.ones(10), sr=2) - asig_windowed = asig.window_op(nperseg=2, stride=1, - win='hann', fn='rms', pad='mirror') - self.assertTrue(np.allclose([1., 0.70710677, 0.70710677, 0.70710677, - 0.70710677, 0.70710677, 0.70710677, - 0.70710677, 0.70710677, 1.], - asig_windowed.sig)) + asig_windowed = asig.window_op( + nperseg=2, stride=1, win="hann", fn="rms", pad="mirror" + ) + self.assertTrue( + np.allclose( + [ + 1.0, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 1.0, + ], + asig_windowed.sig, + ) + ) asig2ch = Asig(np.ones((10, 2)), sr=2) - asig2ch.window_op(nperseg=2, stride=1, win='hann', fn='rms', pad='mirror') - a = [1., 0.70710677, 0.70710677, 0.70710677, - 0.70710677, 0.70710677, 0.70710677, - 0.70710677, 0.70710677, 1.] - res = np.array([a, a]).T + asig2ch.window_op(nperseg=2, stride=1, win="hann", fn="rms", pad="mirror") + a = [ + 1.0, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 0.70710677, + 1.0, + ] + _ = np.array([a, a]).T self.assertTrue(np.allclose(a, asig_windowed.sig)) def test_convolve(self): - # Do self autocorrelatin, the middle point should always have a corr val near 1.0 + # Do self autocorrelation, the middle point + # should always have a corr val near 1.0 test = Asig(np.sin(np.arange(0, 21)), sr=21) - result = test.convolve(test.sig[::-1], mode='same') + result = test.convolve(test.sig[::-1], mode="same") # The middle point should have high corr - self.assertTrue(result.sig[10] > 0.99, msg="middle point of a self correlation should always has high corr val.") + self.assertTrue( + result.sig[10] > 0.99, + msg="middle point of a self correlation should always has high corr val.", + ) # Test different modes - self.assertEqual(result.samples, test.samples, msg="'same' mode should result in the same size") - result = test.convolve(test.sig[::-1], mode='full') - - self.assertEqual(result.samples, test.samples * 2 - 1, msg="full mode should have 2x - 1 samples.") + self.assertEqual( + result.samples, + test.samples, + msg="'same' mode should result in the same size", + ) + result = test.convolve(test.sig[::-1], mode="full") + + self.assertEqual( + result.samples, + test.samples * 2 - 1, + msg="full mode should have 2x - 1 samples.", + ) # Test input type ir = Asig(test.sig[::-1], sr=21) - result = test.convolve(ir, mode='same') - self.assertTrue(result.sig[10] > 0.99, msg="middle point of a self correlation should always has high corr val.") + result = test.convolve(ir, mode="same") + self.assertTrue( + result.sig[10] > 0.99, + msg="middle point of a self correlation should always has high corr val.", + ) with self.assertRaises(TypeError, msg="ins can only be array or Asig"): result = test.convolve("string input") @@ -256,7 +308,6 @@ def test_append(self): # # At the top I import Asig by: from pya import Asig @mock.patch("pya.asig.wavfile") def test_save_wavefile(self, mock_wavfile): - test = Asig(np.array([0, 0.2, 0.4, 0.6, 0.8, 1.0]), sr=6) test.save_wavfile(fname="mock save") mock_wavfile.write.assert_called_once() diff --git a/tests/test_aspec.py b/tests/test_aspec.py index a11c9d68..4de7276e 100644 --- a/tests/test_aspec.py +++ b/tests/test_aspec.py @@ -1,14 +1,13 @@ -from unittest import TestCase -from pya import Ugen, Aspec, Asig import warnings -import numpy as np +from unittest import TestCase +from pya import Aspec, Ugen -class TestAspec(TestCase): +class TestAspec(TestCase): def setUp(self): self.asig = Ugen().sine() - self.asig2 = Ugen().sine(channels=2, cn=['a', 'b']) + self.asig2 = Ugen().sine(channels=2, cn=["a", "b"]) self.asig_no_name = Ugen().sine(channels=3) def tearDown(self): @@ -21,18 +20,18 @@ def test_constructor(self): self.assertEqual(aspec.cn, self.asig2.cn) # The input can also be just an numpy array sig = Ugen().square().sig - aspec = Aspec(sig, sr=400, label='square', cn=['a']) + aspec = Aspec(sig, sr=400, label="square", cn=["a"]) self.assertEqual(aspec.sr, 400) - self.assertEqual(aspec.label, 'square') - self.assertEqual(aspec.cn, ['a']) + self.assertEqual(aspec.label, "square") + self.assertEqual(aspec.cn, ["a"]) with self.assertRaises(TypeError): _ = Aspec(x=3) print(aspec) def test_plot(self): self.asig.to_spec().plot() - self.asig.to_spec().plot(xlim=(0, 0.5), ylim=(0., 1.0)) + self.asig.to_spec().plot(xlim=(0, 0.5), ylim=(0.0, 1.0)) def test_cn_conflict(self): with warnings.catch_warnings(record=True): - _ = Aspec(self.asig, cn=['jf', 'dj']) + _ = Aspec(self.asig, cn=["jf", "dj"]) diff --git a/tests/test_astft.py b/tests/test_astft.py index 5b88538d..3980e996 100644 --- a/tests/test_astft.py +++ b/tests/test_astft.py @@ -1,17 +1,18 @@ from unittest import TestCase, mock -from pya import Ugen, Astft + import numpy as np +from pya import Astft, Ugen + class MockPlot(mock.MagicMock): pass class TestAstft(TestCase): - def setUp(self): self.asig = Ugen().sine() - self.asig2 = Ugen().sine(channels=2, cn=['a', 'b']) + self.asig2 = Ugen().sine(channels=2, cn=["a", "b"]) self.asig_no_name = Ugen().sine(channels=3) def tearDown(self): @@ -22,15 +23,15 @@ def test_input_as_asig(self): self.assertEqual(astft.sr, 44100) astft = self.asig.to_stft(sr=2000) self.assertEqual(astft.sr, 2000) - signal = self.asig2.sig + _ = self.asig2.sig def test_wrong_input_type(self): with self.assertRaises(TypeError): - asig = Astft(x=3, sr=500) + _ = Astft(x=3, sr=500) def test_multichannel_asig(self): - # Test conversion of a multi channel asig's astft. - asine = Ugen().sawtooth(channels=3, cn=['a', 'b', 'c']) + # Test conversion of a multi channel asig's astft. + asine = Ugen().sawtooth(channels=3, cn=["a", "b", "c"]) astft = asine.to_stft() self.assertEqual(astft.channels, 3) self.assertEqual(len(astft.cn), 3) @@ -46,7 +47,7 @@ def test_input_as_stft(self): noise = np.random.normal(scale=np.sqrt(noise_power), size=time.shape) noise *= np.exp(-time / 5) x = carrier + noise - astft = Astft(x, sr, label="test") + _ = Astft(x, sr, label="test") def test_plot(self): - self.asig.to_stft().plot() \ No newline at end of file + self.asig.to_stft().plot() diff --git a/tests/test_backend.py b/tests/test_backend.py index 594f661a..ef07db7b 100644 --- a/tests/test_backend.py +++ b/tests/test_backend.py @@ -1,26 +1,21 @@ -from .helpers import wait -from .test_play import TestPlayBase -from .test_arecorder import TestArecorderBase -from pya import Arecorder from pya.backend import DummyBackend -from unittest import TestCase, skipUnless + +from .test_arecorder import TestArecorderBase +from .test_play import TestPlayBase try: - from pya.backend import JupyterBackend has_j_backend = True -except: +except Exception: has_j_backend = False # check if we have an output device class TestDummyBackendPlay(TestPlayBase): - __test__ = True backend = DummyBackend() class TestDummyBackendRecord(TestArecorderBase): - __test__ = True backend = DummyBackend() diff --git a/tests/test_class_transformation.py b/tests/test_class_transformation.py index 86897240..5159e04d 100644 --- a/tests/test_class_transformation.py +++ b/tests/test_class_transformation.py @@ -1,10 +1,10 @@ -# Test change between asig, astft and aspec. -from pya import Asig, Aspec, Astft, Ugen +# Test change between asig, astft and aspec. from unittest import TestCase +from pya import Asig, Aspec, Astft, Ugen + class TestClassTransform(TestCase): - def setUp(self): pass @@ -12,7 +12,7 @@ def tearDown(self): pass def test_asig_aspec(self): - # Create a signale with 3 sine waves and gaps inbetween, + # Create a signale with 3 sine waves and gaps inbetween, # So that it will finds 3 events a = Ugen().sine() a_spec = a.to_spec() @@ -27,4 +27,4 @@ def test_asig_astf(self): a_sig_from_stft = a_stft.to_sig() self.assertIsInstance(a, Asig) self.assertIsInstance(a_stft, Astft) - self.assertIsInstance(a_sig_from_stft, Asig) \ No newline at end of file + self.assertIsInstance(a_sig_from_stft, Asig) diff --git a/tests/test_codestyle.py b/tests/test_codestyle.py deleted file mode 100644 index 4c5bb354..00000000 --- a/tests/test_codestyle.py +++ /dev/null @@ -1,21 +0,0 @@ -import unittest -import pycodestyle - - -class TestCodeFormat(unittest.TestCase): - - def test_conformance(self): - """Test that we conform to PEP-8.""" - # E731 ignores lamda, W291 trailing whitespace - # W391 blank line at end of file - # W292 no newline at end of file - # E722 bare except - style = pycodestyle.StyleGuide(quiet=False, - ignore=['E501', 'E731', 'W291', 'W504', - 'W391', 'W292', 'E722', 'E402']) - # style.input_dir('../../pya') - style.input_dir('./pya') - style.input_dir('./tests') - result = style.check_files() - self.assertEqual(0, result.total_errors, - "Found code style errors (and warnings).") diff --git a/tests/test_file_loader_codec.py b/tests/test_file_loader_codec.py index 92fedaf5..83b6d36c 100644 --- a/tests/test_file_loader_codec.py +++ b/tests/test_file_loader_codec.py @@ -1,11 +1,13 @@ -from unittest import TestCase import os +from unittest import TestCase + import numpy as np + from pya.helper.codec import ( - audio_read, - SoundFileAudioFile, FFmpegAudioFile, + SoundFileAudioFile, UnsupportedError, + audio_read, ) @@ -96,7 +98,7 @@ def test_data_reading(self): # TODO: Add a flac file for testing # def test_high_resolution(self): # """Test handling of high resolution audio (24-bit, high sample rate)""" - # with audio_read(self.test_files['flac']) as audio: # Assuming 24-bit/96kHz FLAC + # with audio_read(self.test_files['flac']) as audio:# Assuming 24-bit/96kHz FLAC # data = next(audio.read_data()) # self.assertTrue(np.max(np.abs(data)) <= 1.0) # Check normalization # self.assertEqual(np.float32, data.dtype) diff --git a/tests/test_find_events.py b/tests/test_find_events.py index 6d59b58a..9140f762 100644 --- a/tests/test_find_events.py +++ b/tests/test_find_events.py @@ -1,9 +1,9 @@ -from pya import Asig, Ugen from unittest import TestCase +from pya import Asig, Ugen + class TestFindEvents(TestCase): - def setUp(self): pass @@ -11,13 +11,13 @@ def tearDown(self): pass def test_events(self): - # Create a signale with 3 sine waves and + # Create a signale with 3 sine waves and # gaps inbetween, So that it will finds 3 events""" a = Ugen().sine() - a.x[a.samples:] = Asig(0.2) - a.x[a.samples:] = Ugen().sine(freq=200) - a.x[a.samples:] = Asig(0.2) - a.x[a.samples:] = Ugen().sine(freq=20) - a.x[a.samples:] = Asig(0.2) + a.x[a.samples :] = Asig(0.2) + a.x[a.samples :] = Ugen().sine(freq=200) + a.x[a.samples :] = Asig(0.2) + a.x[a.samples :] = Ugen().sine(freq=20) + a.x[a.samples :] = Asig(0.2) a.find_events(sil_thr=-30, evt_min_dur=0.2, sil_min_dur=0.04) - self.assertEqual(3, a._['events'].shape[0]) + self.assertEqual(3, a._["events"].shape[0]) diff --git a/tests/test_getitem.py b/tests/test_getitem.py index 75626c86..c0289146 100644 --- a/tests/test_getitem.py +++ b/tests/test_getitem.py @@ -1,19 +1,23 @@ from unittest import TestCase -from pya import * + import numpy as np + +from pya.asig import Asig + # import logging # logging.basicConfig(level=logging.DEBUG) class TestSlicing(TestCase): - def setUp(self): self.sig = np.sin(2 * np.pi * 100 * np.linspace(0, 1, 44100)) self.asine = Asig(self.sig, sr=44100, label="test_sine") - self.sig4 = np.sin(2 * np.pi * 100 * np.linspace(0, 4, 44100 * 4)) # 4second sine + self.sig4 = np.sin( + 2 * np.pi * 100 * np.linspace(0, 4, 44100 * 4) + ) # 4second sine self.asine4 = Asig(self.sig4, sr=44100, label="test_sine") self.sig2ch = np.repeat(self.sig, 2).reshape((44100, 2)) - self.astereo = Asig(self.sig2ch, sr=44100, label="stereo", cn=['l', 'r']) + self.astereo = Asig(self.sig2ch, sr=44100, label="stereo", cn=["l", "r"]) def tearDown(self): pass @@ -55,7 +59,7 @@ def test_timeSlicing(self): # Check negative time work""" result2 = self.asine4[{1: -1}] # Play from 1s. to the last 1.s - expect2 = self.asine4[44100: -44100] + expect2 = self.asine4[44100:-44100] self.assertEqual(expect2, result2) def test_tuple(self): @@ -64,32 +68,36 @@ def test_tuple(self): expected_sig = self.astereo.sig[0:44100:2, 0] self.assertTrue(np.array_equal(result.sig, expected_sig)) - result = self.astereo[0:10:2, ['l']] + result = self.astereo[0:10:2, ["l"]] expected_sig = self.astereo.sig[0:10:2, 0] - self.assertTrue(np.array_equal(result.sig, expected_sig)) # Check if signal equal - self.assertEqual(result.cn, ['l']) # Check whether the new column name is correct + self.assertTrue( + np.array_equal(result.sig, expected_sig) + ) # Check if signal equal + self.assertEqual( + result.cn, ["l"] + ) # Check whether the new column name is correct # channel name slice as list. # ("both channels using col_name") - result = self.astereo[0:44100:2, ['l', 'r']] + result = self.astereo[0:44100:2, ["l", "r"]] expected_sig = self.astereo.sig[0:44100:2, :] self.assertTrue(np.array_equal(result.sig, expected_sig)) # Bool slice # ("bool list channel selection") - # This is a special case for scling as numpy return (n, 1) rather than (n,) if we use - # bool list to single out a channel. + # This is a special case for scling as numpy return (n, 1) rather than (n,) + # if we use bool list to single out a channel. result = self.astereo[360:368, [False, True]] expected_sig = self.astereo.sig[360:368:1, [False, True]] self.assertTrue(np.array_equal(result.sig, expected_sig)) # time slicing result = self.astereo[{1: -1}, 0] # Play from 1s. to the last 1.s - expect = self.astereo[44100: -44100, 0] + expect = self.astereo[44100:-44100, 0] self.assertEqual(expect, result) # time slicing # ("time slicing.") - time_range = {1: -1} # first to last second. - result = self.astereo[time_range, :] # Play from 1s. to the last 1.s - expect = self.astereo[44100: -44100, :] + time_range = {1: -1} # first to last second. + result = self.astereo[time_range, :] # Play from 1s. to the last 1.s + expect = self.astereo[44100:-44100, :] self.assertEqual(expect, result) diff --git a/tests/test_helpers.py b/tests/test_helpers.py index 41224a90..9e61b88c 100644 --- a/tests/test_helpers.py +++ b/tests/test_helpers.py @@ -1,34 +1,45 @@ from unittest import TestCase -from pya import Asig, Ugen -from pya.helper import spectrum, padding, next_pow2, is_pow2 -from pya.helper import signal_to_frame, magspec, powspec import numpy as np +from pya import Asig, Ugen +from pya.helper import ( + is_pow2, + magspec, + next_pow2, + padding, + powspec, + signal_to_frame, + spectrum, +) + class TestHelpers(TestCase): - """Test helper functions - """ + """Test helper functions""" def setUp(self): self.sig = np.sin(2 * np.pi * 100 * np.linspace(0, 1, 44100)) self.asine = Asig(self.sig, sr=44100, label="test_sine") - self.asineWithName = Asig(self.sig, sr=44100, - label="test_sine", cn=['sine']) + self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=["sine"]) self.sig2ch = np.repeat(self.sig, 2).reshape((44100, 2)) - self.astereo = Asig(self.sig2ch, sr=44100, label="sterep", - cn=['l', 'r']) + self.astereo = Asig(self.sig2ch, sr=44100, label="sterep", cn=["l", "r"]) self.sig16ch = np.repeat(self.sig, 16).reshape((44100, 16)) - self.asine16ch = Asig(self.sig16ch, sr=44100, - label="test_sine_16ch") + self.asine16ch = Asig(self.sig16ch, sr=44100, label="test_sine_16ch") def tearDown(self): pass def test_spectrum(self): # Not tested expected outcome yet. - frq, Y = spectrum(self.asine.sig, self.asine.samples, self.asine.channels, self.asine.sr) - frqs, Ys = spectrum(self.astereo.sig, self.astereo.samples, self.astereo.channels, self.astereo.sr) + frq, Y = spectrum( + self.asine.sig, self.asine.samples, self.asine.channels, self.asine.sr + ) + frqs, Ys = spectrum( + self.astereo.sig, + self.astereo.samples, + self.astereo.channels, + self.astereo.sr, + ) def test_padding(self): """Pad silence to signal. Support 1-3D tensors.""" @@ -40,32 +51,61 @@ def test_padding(self): tensor2 = np.ones((3, 3)) padded = padding(tensor2, 2, tail=True) - self.assertTrue(np.array_equal(padded, np.array([[1., 1., 1.], [1., 1., 1.], [1., 1., 1.], - [0., 0., 0.], [0., 0., 0.]]))) + self.assertTrue( + np.array_equal( + padded, + np.array( + [ + [1.0, 1.0, 1.0], + [1.0, 1.0, 1.0], + [1.0, 1.0, 1.0], + [0.0, 0.0, 0.0], + [0.0, 0.0, 0.0], + ] + ), + ) + ) padded = padding(tensor2, 2, tail=False, constant_values=5) - self.assertTrue(np.array_equal(padded, np.array([[5., 5., 5.], [5., 5., 5.], - [1., 1., 1.], [1., 1., 1.], [1., 1., 1.]]))) + self.assertTrue( + np.array_equal( + padded, + np.array( + [ + [5.0, 5.0, 5.0], + [5.0, 5.0, 5.0], + [1.0, 1.0, 1.0], + [1.0, 1.0, 1.0], + [1.0, 1.0, 1.0], + ] + ), + ) + ) tensor3 = np.ones((2, 2, 2)) padded = padding(tensor3, 2) - self.assertTrue(np.array_equal(padded, np.array([[[1., 1.], - [1., 1.], - [0., 0.], - [0., 0.]], - [[1., 1.], - [1., 1.], - [0., 0.], - [0., 0.]]]))) + self.assertTrue( + np.array_equal( + padded, + np.array( + [ + [[1.0, 1.0], [1.0, 1.0], [0.0, 0.0], [0.0, 0.0]], + [[1.0, 1.0], [1.0, 1.0], [0.0, 0.0], [0.0, 0.0]], + ] + ), + ) + ) padded = padding(tensor3, 2, tail=False) - self.assertTrue(np.array_equal(padded, np.array([[[0., 0.], - [0., 0.], - [1., 1.], - [1., 1.] - ], - [[0., 0.], - [0., 0.], - [1., 1.], - [1., 1.]]]))) + self.assertTrue( + np.array_equal( + padded, + np.array( + [ + [[0.0, 0.0], [0.0, 0.0], [1.0, 1.0], [1.0, 1.0]], + [[0.0, 0.0], [0.0, 0.0], [1.0, 1.0], [1.0, 1.0]], + ] + ), + ) + ) def test_next_pow2(self): next = next_pow2(255) @@ -101,7 +141,7 @@ def test_magspec_pspec(self): frames = signal_to_frame(sq.sig, 400, 400) mag = magspec(frames, 512) self.assertEqual(mag.shape, (20, 257)) - self.assertTrue((mag >= 0.).all()) # All elements should be non-negative + self.assertTrue((mag >= 0.0).all()) # All elements should be non-negative ps = powspec(frames, 512) self.assertEqual(ps.shape, (20, 257)) - self.assertTrue((ps >= 0.).all()) # All elements should be non-negative + self.assertTrue((ps >= 0.0).all()) # All elements should be non-negative diff --git a/tests/test_play.py b/tests/test_play.py index 39659da2..985c12b4 100644 --- a/tests/test_play.py +++ b/tests/test_play.py @@ -1,11 +1,13 @@ -from .helpers import check_for_output import time -from unittest import TestCase, skipUnless, mock -from pya import * +from unittest import TestCase, mock, skipUnless + import numpy as np -import warnings import pytest +from pya.aserver import Aserver +from pya.asig import Asig + +from .helpers import check_for_output # check if we have an output device has_output = check_for_output() @@ -16,23 +18,29 @@ class MockAudio(mock.MagicMock): channels_out = 4 def get_device_info_by_index(self, *args): - return {'maxInputChannels': self.channels_in, 'maxOutputChannels': self.channels_out, - 'name': 'MockAudio', 'index': 42} + return { + "maxInputChannels": self.channels_in, + "maxOutputChannels": self.channels_out, + "name": "MockAudio", + "index": 42, + } class TestPlayBase(TestCase): - __test__ = False # important, makes sure tests are not run on base class backend = None # will be overridden by backend tests def setUp(self): self.sig = np.sin(2 * np.pi * 440 * np.linspace(0, 1, 44100)) self.asine = Asig(self.sig, sr=44100, label="test_sine") - self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=['sine']) + self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=["sine"]) self.sig2ch = np.repeat(self.sig, 2).reshape((44100, 2)) - self.astereo = Asig(self.sig2ch, sr=44100, label="stereo", cn=['l', 'r']) + self.astereo = Asig(self.sig2ch, sr=44100, label="stereo", cn=["l", "r"]) - @pytest.mark.xfail(reason="Test may get affect with PortAudio bug or potential unsuitable audio device.") + @pytest.mark.xfail( + reason="Test may get affect with PortAudio bug " + "or potential unsuitable audio device." + ) def test_play_and_stop(self): ser = Aserver(backend=self.backend) ser.boot() @@ -44,21 +52,25 @@ def test_play_and_stop(self): def test_gain(self): result = (self.asine * 0.2).sig expected = self.asine.sig * 0.2 - self.assertTrue(np.allclose(result, expected)) # float32 should use allclose for more forgiving precision + self.assertTrue( + np.allclose(result, expected) + ) # float32 should use allclose for more forgiving precision expected = self.sig * self.sig result = (self.asine * self.asine).sig self.assertTrue(np.allclose(result, expected)) def test_resample(self): - # This test currently only check if there is error running the code, but not whether resampling is correct - result = self.asine.resample(target_sr=44100 // 2, rate=1, kind='linear') + """ + This test currently only check if there is error + running the code, but not whether resampling is correct + """ + result = self.asine.resample(target_sr=44100 // 2, rate=1, kind="linear") self.assertIsInstance(result, Asig) @skipUnless(has_output, "PyAudio found no output device.") class TestPlay(TestPlayBase): - __test__ = True @@ -72,7 +84,8 @@ class TestPlay(TestPlayBase): # s = Aserver() # s.boot() # assert mock_audio.open.called -# # since default AServer channel output is stereo we expect open to be called with +# # since default AServer channel output is stereo we expect open to be +# # called with # # channels=2 # self.assertEqual(mock_audio.open.call_args_list[0][1]["channels"], 2) # d1 = np.linspace(0, 1, 44100) @@ -87,4 +100,3 @@ class TestPlay(TestPlayBase): # s.boot() # assert mock_audio.open.call_count == 2 # self.assertEqual(mock_audio.open.call_args_list[1][1]["channels"], 6) - diff --git a/tests/test_routeNpan.py b/tests/test_routeNpan.py index 9305cc31..273760cf 100644 --- a/tests/test_routeNpan.py +++ b/tests/test_routeNpan.py @@ -1,7 +1,10 @@ -from unittest import TestCase import warnings +from unittest import TestCase + import numpy as np -from pya import * + +from pya.asig import Asig + # import logging # logging.basicConfig(level=logging.DEBUG) @@ -12,9 +15,9 @@ class TestRoutePan(TestCase): def setUp(self): self.sig = np.sin(2 * np.pi * 100 * np.linspace(0, 1, 44100)) self.asine = Asig(self.sig, sr=44100, label="test_sine") - self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=['sine']) + self.asineWithName = Asig(self.sig, sr=44100, label="test_sine", cn=["sine"]) self.sig2ch = np.repeat(self.sig, 2).reshape((44100, 2)) - self.astereo = Asig(self.sig2ch, sr=44100, label="sterep", cn=['l', 'r']) + self.astereo = Asig(self.sig2ch, sr=44100, label="sterep", cn=["l", "r"]) self.sig16ch = np.repeat(self.sig, 16).reshape((44100, 16)) self.asine16ch = Asig(self.sig16ch, sr=44100, label="test_sine_16ch") @@ -51,8 +54,7 @@ def test_stereo(self): def test_rewire(self): # Rewire channels, e.g. move 0 to 1 with a gain of 0.5""" - result = self.astereo.rewire({(0, 1): 0.5, - (1, 0): 0.5}) + result = self.astereo.rewire({(0, 1): 0.5, (1, 0): 0.5}) temp = self.astereo.sig expect = temp.copy() expect[:, 0] = temp[:, 1] * 0.5 @@ -60,14 +62,14 @@ def test_rewire(self): self.assertTrue(np.allclose(expect[1000:10010, 1], result.sig[1000:10010, 1])) def test_pan2(self): - pan2 = self.astereo.pan2(-1.) + pan2 = self.astereo.pan2(-1.0) self.assertAlmostEqual(0, pan2.sig[:, 1].sum()) - pan2 = self.astereo.pan2(1.) + pan2 = self.astereo.pan2(1.0) self.assertAlmostEqual(0, pan2.sig[:, 0].sum()) pan2 = self.asine.pan2(-0.5) self.assertEqual(pan2.channels, 2) with self.assertRaises(TypeError): - self.astereo.pan2([2., 4.]) + self.astereo.pan2([2.0, 4.0]) with self.assertRaises(ValueError): - self.astereo.pan2(3.) \ No newline at end of file + self.astereo.pan2(3.0) diff --git a/tests/test_setitem.py b/tests/test_setitem.py index 0d2a0483..c6ceadd7 100644 --- a/tests/test_setitem.py +++ b/tests/test_setitem.py @@ -1,36 +1,42 @@ from unittest import TestCase -from pya import * + import numpy as np + +from pya.asig import Asig + # import logging # logging.basicConfig(level=logging.DEBUG) class TestSetitem(TestCase): - def setUp(self): self.dur = 3.5 self.sr = 1000 self.ts = np.linspace(0, self.dur, int(self.dur * self.sr)) - self.sig = np.sin(2 * np.pi * 50 * self.ts ** 1.9) - self.a1 = Asig(self.sig, sr=self.sr, channels=1, cn=['a'], label='1ch-sig') - self.ak = Asig(np.tile(self.sig.reshape(3500, 1), (1, 4)), sr=self.sr, - label='4ch-sig', cn=['a', 'b', 'c', 'd']) + self.sig = np.sin(2 * np.pi * 50 * self.ts**1.9) + self.a1 = Asig(self.sig, sr=self.sr, channels=1, cn=["a"], label="1ch-sig") + self.ak = Asig( + np.tile(self.sig.reshape(3500, 1), (1, 4)), + sr=self.sr, + label="4ch-sig", + cn=["a", "b", "c", "d"], + ) self.one = np.ones(self.sr) - self.aones = Asig(self.one, sr=self.sr, cn=['o'], label='ones') + self.aones = Asig(self.one, sr=self.sr, cn=["o"], label="ones") self.zero = np.zeros(self.sr) - self.azeros = Asig(self.zero, sr=self.sr, cn=['z'], label='zeros') + self.azeros = Asig(self.zero, sr=self.sr, cn=["z"], label="zeros") self.noise = np.random.random(self.sr) - self.anoise = Asig(self.noise, sr=self.sr, cn=['n'], label='noise') - self.aramp = Asig(np.arange(1000), sr=self.sr, label='ramp') + self.anoise = Asig(self.noise, sr=self.sr, cn=["n"], label="noise") + self.aramp = Asig(np.arange(1000), sr=self.sr, label="ramp") def tearDown(self): pass def test_default(self): # Testing of default mode, which should behave as Numpy should.""" - self.azeros[10] = self.aones[10].sig # value as asig + self.azeros[10] = self.aones[10].sig # value as asig self.assertEqual(self.aones[10], self.azeros[10]) - self.azeros[2] = self.aones[4].sig # value as ndarray + self.azeros[2] = self.aones[4].sig # value as ndarray self.assertEqual(self.aones[4], self.azeros[2]) self.azeros[3:6] = [1, 2, 3] # value as list self.assertTrue(np.array_equal(self.azeros[3:6].sig, [1, 2, 3])) @@ -40,8 +46,8 @@ def test_default(self): r = self.azeros[:10] # value as asig self.assertTrue(r, self.azeros[:10]) self.azeros[{0.2: 0.4}] = self.anoise[{0.5: 0.7}] - self.ak[{1: 2}, ['d']] = self.ak[{0: 1}, ['a']] - self.assertTrue(np.array_equal(self.ak[{1: 2}, ['d']], self.ak[{0: 1}, ['a']])) + self.ak[{1: 2}, ["d"]] = self.ak[{0: 1}, ["a"]] + self.assertTrue(np.array_equal(self.ak[{1: 2}, ["d"]], self.ak[{0: 1}, ["a"]])) def test_bound(self): # Testing of bound mode. Redundant array will not be assigned""" @@ -55,19 +61,21 @@ def test_bound(self): result = np.arange(1000)[-10:] + np.arange(10) self.assertTrue(np.array_equal(subject[-10:].sig, result)) - subject = Asig(np.arange(1000), sr=self.sr, label='ramp') - subject.b[-10:] *= 2 # Test __mul__ also. + subject = Asig(np.arange(1000), sr=self.sr, label="ramp") + subject.b[-10:] *= 2 # Test __mul__ also. result = np.arange(1000)[-10:] * 2 self.assertTrue(np.array_equal(subject[-10:].sig, result)) # # Multi channel case - self.ak.b[{2: None}, ['a', 'b']] = np.zeros(shape=(3000, 2)) - result = np.sum(self.ak[{2: None}, ['a', 'b']].sig) + self.ak.b[{2: None}, ["a", "b"]] = np.zeros(shape=(3000, 2)) + result = np.sum(self.ak[{2: None}, ["a", "b"]].sig) self.assertEqual(result, 0.0) def test_extend(self): - # Testing of extend mode, longer array will force the taker to extend its shape.""" - a = Asig(0.8, sr=1000, channels=4, cn=['a', 'b', 'c', 'd']) + """ + Testing of extend mode, longer array will force the taker to extend its shape. + """ + a = Asig(0.8, sr=1000, channels=4, cn=["a", "b", "c", "d"]) b = np.sin(2 * np.pi * 100 * np.linspace(0, 0.6, int(1000 * 0.6))) b = Asig(b) # test with extend set mono signal to a, initially only 0.8secs long... @@ -75,12 +83,12 @@ def test_extend(self): self.assertEqual(a.samples, 800) a.x[300:, 1] = 0.5 * b self.assertEqual(a.samples, 900) - a.x[1300:, 'c'] = 0.2 * b[::2] # compressed sig in ch 'c' + a.x[1300:, "c"] = 0.2 * b[::2] # compressed sig in ch 'c' self.assertEqual(a.samples, 1600) a.x[1900:, 3] = 0.2 * b[300:] # only end of tone in ch 'd' self.assertEqual(a.samples, 2200) - a = Asig(0.8, sr=1000, channels=1, cn=['a']) # Test with mono signal + a = Asig(0.8, sr=1000, channels=1, cn=["a"]) # Test with mono signal b = np.sin(2 * np.pi * 100 * np.linspace(0, 0.6, int(1000 * 0.6))) b = Asig(b) a.x[:, 0] = 0.2 * b # this fits in without need to extend @@ -92,19 +100,25 @@ def test_replace(self): a = Asig(a) a.overwrite[40:50] = b self.assertEqual(a.samples, 100 - 10 + 290) # First make sure size is correct - c = np.sum(a[50:60].sig) # Then make sure replace value is correct + c = np.sum(a[50:60].sig) # Then make sure replace value is correct self.assertEqual(c, 10) with self.assertRaises(ValueError): # Passing 2 chan to 4 chan asig should raise ValueError - self.ak.overwrite[{1.: 1.5}] = np.zeros((int(44100 * 0.6), 2)) + self.ak.overwrite[{1.0: 1.5}] = np.zeros((int(44100 * 0.6), 2)) def test_numpy_index(self): self.azeros[np.arange(0, 10)] = np.ones(10) - self.assertTrue(np.array_equal(self.azeros[np.arange(0, 10)].sig, self.aones[np.arange(0, 10)].sig)) + self.assertTrue( + np.array_equal( + self.azeros[np.arange(0, 10)].sig, self.aones[np.arange(0, 10)].sig + ) + ) def test_byte_index(self): self.azeros[bytes([0, 1, 2])] = np.ones(3) - self.assertTrue(np.array_equal(self.azeros[[0, 1, 2]].sig, self.aones[[0, 1, 2]].sig)) + self.assertTrue( + np.array_equal(self.azeros[[0, 1, 2]].sig, self.aones[[0, 1, 2]].sig) + ) def test_asig_index(self): self.azeros[self.aones.sig.astype(bool)] = self.aones.sig diff --git a/tests/test_ugen.py b/tests/test_ugen.py index d549ff97..1fce246e 100644 --- a/tests/test_ugen.py +++ b/tests/test_ugen.py @@ -1,7 +1,9 @@ from unittest import TestCase -from pya import * + import numpy as np +from pya.ugen import Ugen + class TestUgen(TestCase): def setUp(self): @@ -50,7 +52,7 @@ def test_noise(self): white = Ugen().noise( type="white", amp=0.2, dur=1.0, sr=1000, cn=["white"], label="white_noise" ) - pink = Ugen().noise(type="pink") + _ = Ugen().noise(type="pink") self.assertEqual(white.sr, 1000) self.assertEqual(white.cn, ["white"]) self.assertEqual(white.label, "white_noise") @@ -60,4 +62,4 @@ def test_noise(self): def test_dur_n_rows_exception(self): # An exception should be raised if both dur and n_rows are define. with self.assertRaises(AttributeError): - asig = Ugen().sine(dur=1.0, n_rows=400) + _ = Ugen().sine(dur=1.0, n_rows=400) diff --git a/tests/test_visualization.py b/tests/test_visualization.py index 6903c2eb..68c077de 100644 --- a/tests/test_visualization.py +++ b/tests/test_visualization.py @@ -1,9 +1,10 @@ from unittest import TestCase -from pya import * +from pya.helper.visualization import gridplot +from pya.ugen import Ugen -class TestVisualization(TestCase): +class TestVisualization(TestCase): def setUp(self): self.asig = Ugen().sine() self.aspec = self.asig.to_spec() @@ -21,21 +22,21 @@ def test_asig_plot_args(self): self.asig.plot(xlim=(0, 100), ylim=(0, 100)) def test_asig_fn_db(self): - self.asig.plot(fn='db') + self.asig.plot(fn="db") def test_asig_fn_nocallable(self): with self.assertRaises(AttributeError): - self.asig.plot(fn='something') + self.asig.plot(fn="something") def test_asig_multichannels(self): - sig2d = Ugen().sine(channels=4, cn=['a', 'b', 'c', 'd']) + sig2d = Ugen().sine(channels=4, cn=["a", "b", "c", "d"]) sig2d.plot() def test_aspec_plot(self): self.aspec.plot() def tesst_aspec_plot_lim(self): - 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