version 2

.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

@@ -2,4 +2,4 @@
 
 Exemple de projet reproductible
 
-Dans cette version, on ajoute une gestion de l'aléatoire et du paramétrage et le workflow est formalisé de cette façon le futur expérimentateur est assuré de pouvoir reproduire avec + d'exactitude.
+Dans cette version, on ajoute une gestion de l'aléatoire et du paramétrage et le workflow est formalisé avec un gestion des tags. De cette façon l'expérimentateur peut plus facilement relancer avec les même paramètres et obtenir le même résultat
\ No newline at end of file

main.py

+import numberGenerator
+import outputModule
+import yaml
+from pathlib import Path
+
+def getParameters() -> dict:
+    with open("parameters.yaml") as f:
+        return yaml.safe_load(f)
+
+def saveInput(input):
+    with open("inputs/inputs.txt","w") as f:
+        for i in input:
+            f.write(str(i)+"\n")
+
+def saveOutput(output):
+    with open("outputs/outputs.txt","w") as f:
+        f.write(str(output))
+
+if __name__ == '__main__':
+    print("Getting parameters from the 'parameters.yaml' file...")
+    params = getParameters()
+    min = params["min_value"]
+    max = params["max_value"]
+    numbers_to_generate = params["numbers_to_generate"]
+
+    numberGenerator.setSeed(params["seed"])
+    print(f"Generating {numbers_to_generate} random numbers between {min} and {max}...")
+    numbers = numberGenerator.generateNumbers(numbers_to_generate,min,max)
+    print("Generating output...")
+    output = outputModule.computeValues(numbers,min,max)
+
+    saveInput(numbers)
+    saveOutput(output)
\ No newline at end of file

numberGenerator.py

+import random
+
+def setSeed(seed) -> None:
+    random.seed(seed)
+
+def generateNumbers(tries,min=0,max=10) -> list[int]:
+    numbers = []
+    for _ in range (tries) :
+        numbers.append(random.randint(min,max))
+    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("figure saved in 'output/histogram.png'")
+    plt.savefig("outputs/histogram.png")
+    plt.show()
+    return float(np.average(values))
\ No newline at end of file

parameters.yaml

+numbers_to_generate : 100
+#min and max values are included
+seed : 128
+min_value : 0
+max_value : 10
\ No newline at end of file