170 modernize packaging

[cleder]

[watermelon-copilot-for-code-review]

WatermelonAI Summary

The three commits in this PR tell us that the focus is on modernizing the packaging of the project. Commit 1 suggests the use of keyword arguments for improved readability and maintainability. Commit 2 indicates the implementation of per file ignores for flake8, a static code analysis tool, in order to improve the code quality. Commit 3 adds a codecov token, which suggests an emphasis on code coverage and testing. Overall, these changes aim to make the project's packaging more up-to-date and efficient.

GitHub PRs

• #174 - 170 modernize packaging

• #170 - Modernize packaging

• #172 - Modernize packaging

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (c60c834) 100.00% compared to head (c8420ff) 100.00%.
Report is 1 commits behind head on develop.

Additional details and impacted files

@@            Coverage Diff            @@
##           develop      #174   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           21        21           
  Lines         2244      2244           
=========================================
  Hits          2244      2244           

Files	Coverage Δ
pygeoif/factories.py	100.00% <100.00%> (ø)
pygeoif/feature.py	100.00% <ø> (ø)
pygeoif/functions.py	100.00% <100.00%> (ø)
pygeoif/geometry.py	100.00% <100.00%> (ø)

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[what-the-diff]

PR Summary

• Added Environment Token for Code Coverage
  The update in the run-all-tests.yml file permits token-based authentication for our code coverage tool, which helps in assessing how much of our codebase is covered by our tests.

• Improved GeoSpacial Data Handling
  Several files including factories.py, function.py, feature.py, geometry.py were updated to better handle geographical data. These modifications include:

  • In factories.py, a new pattern and flags in the wkt_regex variable were added to better interpret a commonly used data format in Geographic Information Systems. The orient function was also improved to clearly specify the data structure being returned.
  • In feature.py, certain function definitions were thoroughly revised for better readability and understanding.
  • In geometry.py, the function definitions were reworked for better processing of geometric datasets, and class methods in the Polygon class and GeometryCollection was updated.

• Update to Ignoring Specific Files in Linting
  The tox.ini file was updated to specifically ignore the pygeoif module and the types.py file when checking the codebase for style errors. This makes our linting process faster and more targeted.

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