metrics
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.gitignore
vendored
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162
.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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metrics.png
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3
.vscode/settings.json
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3
.vscode/settings.json
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{
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"python.analysis.typeCheckingMode": "basic"
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}
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@ -2,3 +2,6 @@
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cd /code/
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git clone --recurse-submodules https://gitea.parrrate.ru/PTV/radn-rs.git
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```
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```sh
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clear && docker compose up -d --build metrics && docker cp radn-metrics:/code/metrics.png ./metrics/metrics.png
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```
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@ -65,3 +65,9 @@ services:
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networks:
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radn: {}
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v6d: {}
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metrics:
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container_name: radn-metrics
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build:
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context: metrics
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tty: true
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stop_signal: SIGKILL
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14
metrics/Dockerfile
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14
metrics/Dockerfile
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FROM rust:1.70 as metrics
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RUN cargo install rust-code-analysis-cli
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WORKDIR /code/
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RUN git clone https://gitea.parrrate.ru/PTV/radn-rs.git
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WORKDIR /code/radn-rs/
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RUN git fetch && git checkout a89fd3416cb1eb9b0d34fc514d79cbf85b0e856a
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COPY metrics.py /code/metrics.py
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RUN python3 /code/metrics.py
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FROM python:3.11
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RUN python3 -m pip install matplotlib
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WORKDIR /code/
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COPY --from=metrics /code/metrics.json metrics.json
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COPY render.py render.py
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RUN python3 render.py
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metrics/metrics.py
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26
metrics/metrics.py
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import json
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from subprocess import check_output
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def filter_schema(obj, schema):
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if schema is True:
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return obj
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return {key: filter_schema(obj[key], value) for key, value in schema.items()}
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entry_schema = {"metrics": {"halstead": {"bugs": True, "difficulty": True}}}
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commits = check_output(['git', 'log', '--pretty=%H'], text=True).splitlines()
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entries = []
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for (i, commit) in enumerate(commits):
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print('running', commit)
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check_output(['git', 'checkout', commit], text=True)
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lines = check_output(
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["rust-code-analysis-cli", "-m", "-p", "src", "-O", "json"], text=True
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).splitlines()
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print(len(lines))
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for line in lines:
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entry = json.loads(line)
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entries.append((i, filter_schema(entry, entry_schema)))
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with open('/code/metrics.json', 'w') as file:
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json.dump(entries, file)
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metrics/render.py
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19
metrics/render.py
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import gc
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import json
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import matplotlib.pyplot as plt
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import numpy as np
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plt.rcParams['figure.figsize'] = [18, 9]
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plt.style.use('dark_background')
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plt.subplots_adjust(left=0.05, right=0.99, top=0.95, bottom=0.05)
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with open('metrics.json', 'r') as file:
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entries = json.load(file)
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units = []
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for i, entry in entries:
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units.append((i, entry["metrics"]["halstead"]["difficulty"] or 0.0, entry["metrics"]["halstead"]["bugs"] or 0.0))
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X, Y, C = np.array(units).transpose()
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plt.scatter(-X, Y, s=2.0, c=C)
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plt.savefig('/code/metrics.png')
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RUN rustup component add rustfmt
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RUN rustup component add clippy
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RUN cargo install mdbook
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RUN cargo install rust-code-analysis-cli
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RUN apt-get update
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RUN apt-get install -y cloc
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