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Raj Manoj Patil — R23-T035: Make fuzzy_logic/fuzzy_operations.py fully typed #37

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Description

@ankushbisht01

Student: Raj Manoj Patil

Task: R23-T035 · 5 of 10
Repository: https://github.com/S-AI-Projects/TheAlgorithms-Python
Assigned working branch: student/e26b07f0759

Goal

Add accurate type hints so the type checker CI runs (ty) has nothing to report for this file. Functions missing hints: intersection, union. Two functions lack hints; FuzzySet uses numpy and matplotlib – type the plotting helper as well.

Steps

  1. Run uv run --python 3.15 --with ty ty check fuzzy_logic/fuzzy_operations.py (as in .github/workflows/ty.yml) and save the output.
  2. Add parameter and return types for every function; prefer precise types (e.g. list[list[int]]) over Any.
  3. Fix any real bug the checker exposes, and add a doctest for it.
  4. Run the doctests to confirm behaviour is unchanged.
  5. Make the code change in the repository: fuzzy_logic/fuzzy_operations.py: type hints for the 2 unhinted functions, including the plotting helper. Re-run the automated check and the repo's own tests afterwards.
  6. Prepare the PR: on branch R23-T035, commit the code change plus your work/R23-T035/ evidence, put your findings in the PR description and open the PR against the org fork. For a later upstream PR, create a second branch containing only the code change (no work/ folder).

Done when

☐ fuzzy_logic/fuzzy_operations.py: intersection and union have return hints; plot has full hints.
☐ ty output before/after in the PR, clean for this file (fuzzy_logic/fuzzy_operations.py).
☐ FuzzySet's 22 doctests pass.

Additional task guidance

Additional curated task guidance

Item:
fuzzy_logic/fuzzy_operations.py (195 lines; 22 doctests)

Task type:
Type hints & ty

Code change (goes into the PR):
fuzzy_logic/fuzzy_operations.py: type hints for the 2 unhinted functions, including the plotting helper.

Automated check:
uv run --python 3.15 --with ty ty check fuzzy_logic/fuzzy_operations.py && uv run pytest fuzzy_logic/fuzzy_operations.py

Prerequisites:
Linux/WSL2/Codespaces with uv (https://docs.astral.sh/uv/getting-started/installation/); run uv sync --group=test once – it installs the Python version CI uses (.python-version = 3.15t) and the test dependencies, about 1–2 GB

Upstream PR rules:
Follow CONTRIBUTING.md: type hints on every parameter/return, doctests for valid and erroneous input, snake_case file names, no duplicate of an existing implementation, no hand edits to DIRECTORY.md. CI (pytest with doctests, ruff) must pass – bots close PRs without tests or type hints. Keep work/ (benchmarks, notes, property tests) out of the upstream branch; put results in the PR description.

Source (pinned):
https://github.com/TheAlgorithms/Python/blob/574d100b7181956e9c8384552fd078165e4cc326/fuzzy_logic/fuzzy_operations.py

Change:
No change recorded

PR destination:
Preserved pilot guidance

Submission checklist

  • Complete this task and its checks.
  • Add the required evidence and link your pull request here.
  • Select this S-AI-Projects fork as the PR base repository.
  • Request instructor review.

Keep this PR focused on this task. Do not submit assignment PRs to the upstream repository.

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