re-run version

.gitignore

+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

-# ReproductibiliteNiveau1
+# ReproductibiliteNiveau0
 
-Exemple de projet reproductible
+Niveau le plus faible de la reproductibilité, qui permet de générer des nombres, de faire des occurences et une moyenne de ces nombres et de l'afficher.
 
-Cette première version fournit en plus du code source un versionnage des données, le workflow est décrit mais il y a encore un gros effort manuel à fournir de la part de l'expérimentateur futur
\ No newline at end of file
+Le code est fonctionnel et partagé, mais rien n'as été mis en place pour une démarche reproductible
\ No newline at end of file

main.py

+import sys
+import numberGenerator
+import outputModule
+
+if __name__ == '__main__':
+    numbers = []
+    if len(sys.argv) == 2 :
+        numbers = numberGenerator.generateNumbers(int(sys.argv[1]))
+        outputModule.computeValues(numbers)
+    elif len(sys.argv) == 4 :
+        numbers = numberGenerator.generateNumbers(int(sys.argv[1]),int(sys.argv[2]),int(sys.argv[3]))
+        outputModule.computeValues(numbers,int(sys.argv[2]),int(sys.argv[3]))
+    else :
+        print("Usage: python3 main.py [tries] [min] [max]")
+        print("Example: python3 main.py 10 0 10")
+        print("Example: python3 main.py 10")
+        exit(1)
\ No newline at end of file

numberGenerator.py

+import random
+
+def generateNumbers(tries,min=0,max=10) -> list[int]:
+    numbers = []
+    for _ in range (tries) :
+        numbers.append(random.randint(min,max))
+    print("Generated :" + str(numbers))
+    return numbers
\ No newline at end of file

outputModule.py

+import matplotlib.pyplot as plt
+import numpy as np
+
+def computeValues(values,min=0,max=10) -> None:
+    plt.hist(values,range=(min,max),bins=max+1,color='blue',edgecolor='black')
+    print(f"average : {np.mean(values)}")
+    plt.show()
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