Put latest changes into Leone

docs/conf.py

@@ -18,11 +18,11 @@
 # -- Project information -----------------------------------------------------
 
 project = 'package "data-depth"'
-copyright = '2024, Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Arturo Castellanos Salinas'
-author = 'Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Arturo Castellanos Salinas'
+copyright = '2024, Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Sibsankar Singha, Arturo Castellanos Salinas'
+author = 'Pavlo Mozharovskyi, Rainer Dyckerhoff, Oleksii Pokotylo, Romain Valla, Leonardo Leone, Sibsankar Singha, Arturo Castellanos Salinas'
 
 # The full version, including alpha/beta/rc tags
-release = '1.1.3.0'
+release = '1.2.1.1'
 
 
 # -- General configuration ---------------------------------------------------

docs/credits.rst

@@ -15,10 +15,12 @@ Contributors
 * Oleksii Pokotylo, <alexey.pokotylo at gmail.com>
 * Romain Valla, <romain.valla at telecom-paris.fr>
 * Leonardo Leone, <leonardo.leone at telecom-paris.fr>
+* Sibsankar Singha, <sibsankar.singha@telecom-paris.fr>
 * Arturo Castellanos Salinas, <arturo.castellanos at telecom-paris.fr>
 * Pierre-Antoine Amiand Leroy, <pierre-antoine.amiand-leroy at ip-paris.fr> (on behalf of Hi! Paris)
 * Amine Yamoul, <amine.yamoul at capgemini.com> (on behalf of Hi! Paris)
 * Kevin Aggoun, <kevin.aggoun at capgemini.com> (on behalf of Hi! Paris)
 * Contribution of the Starting Grant (JCJC) of the French National Research Agency (ANR <https://anr.fr>) in the category Artificial Intelligence (CE23) is greatly acknowledged (grant number ANR-21-CE23-0029-01).
 * The support of the National Association for Research in Technology (ANRT) (CIFRE grant number 2021/1739) is gratefully acknowledged.
 * Contribution of the Research Chair "Digital Finance" under the aegis of the Risk Foundation is greatly acknowledged.
+* Contribution of the Research and Teaching Chair of Telecom Paris "Artificial Intelligence For Industry" (AI4I)  is greatly acknowledged.

docs/introduction.rst

@@ -43,7 +43,7 @@ Examples can be found in - :ref:`depth-examples <Examples>`. The mentioned below
 Installation
 ------------
 
-data-depth can be directly installed using **pip**:
+The `\texttt{data-depth}` library can be directly installed using **pip**:
 
 .. code:: bash
 

pyproject.toml

@@ -11,7 +11,7 @@ authors = [
 maintainers = [
   {name = "Pavlo Mozharovskyi", email = "pavlo.mozharovskyi@telecom-paris.fr"}
 ]
-version="1.1.3.0"
+version="1.2.1.1"
 description="The package provides many procedures for calculating the depth of points in an empirical distribution for many notions of data depth"
 readme="README.md"
 dependencies=[

setup.py

@@ -21,7 +21,7 @@ def build_extensions(self):
 if sys.platform=='darwin' or sys.platform=='linux':
 	setup(
 	    # name="data_depth",
-	    # version="1.1.3.0",
+	    # version="1.2.1.1",
 	    # author="Pavlo Mozharovskyi",
 	    # author_email="pavlo.mozharovskyi@telecom-paris.fr",
 	    # description="The package provides many procedures for calculating the depth of points in an empirical distribution for many notions of data depth",