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Pruthviraj Gojare — R23-T048: Refactor graphs/minimum_spanning_tree_prims2.py (269 lines) #49

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Description

@ankushbisht01

Student: Pruthviraj Gojare

Task: R23-T048 · 8 of 10
Repository: https://github.com/S-AI-Projects/TheAlgorithms-Python
Assigned working branch: student/e26b07f0834

Goal

Improve the structure of a large file without changing behaviour, using tests as a safety net. The file implements its own heap helpers and priority queue – look for duplicated index arithmetic.

Steps

  1. Run the tests and coverage first and save the baseline.
  2. Identify duplicated or overly long code (Ruff's C90 complexity check: uvx ruff check --select C90 graphs/minimum_spanning_tree_prims2.py).
  3. Refactor in small commits (extract helpers, clearer names), running the tests after each commit.
  4. Write REFACTOR.md: before/after complexity numbers and what you changed.
  5. Make the code change in the repository: graphs/minimum_spanning_tree_prims2.py: shared index helpers instead of the duplicated heap arithmetic; doctests unchanged. Re-run the automated check and the repo's own tests afterwards.
  6. Prepare the PR: on branch R23-T048, commit the code change plus your work/R23-T048/ 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

☐ graphs/minimum_spanning_tree_prims2.py: the heap index arithmetic (get_parent_position, get_child_left_position, get_child_right_position, _bubble_up/_bubble_down) is shared, not duplicated.
☐ REFACTOR.md shows the worst function's C90 complexity before and after.
☐ prims_algo's 10 doctests and the other doctests pass after every commit.

Additional task guidance

Additional curated task guidance

Item:
graphs/minimum_spanning_tree_prims2.py (269 lines; 24 doctests)

Task type:
Refactor for readability

Code change (goes into the PR):
graphs/minimum_spanning_tree_prims2.py: shared index helpers instead of the duplicated heap arithmetic; doctests unchanged.

Automated check:
uvx ruff check graphs/minimum_spanning_tree_prims2.py && uv run pytest graphs/minimum_spanning_tree_prims2.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/graphs/minimum_spanning_tree_prims2.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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