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Anjali Dewangan — R51-T045: Make verification repeatable for degreeToRadian (degreeToRadian.js) [src/algorithms/math/radian] #45

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Description

@ankushbisht01

Student: Anjali Dewangan

Task: R51-T045 · 5 of 10
Repository: https://github.com/S-AI-Projects/javascript-algorithms
Assigned working branch: student/e26b07f0661

Goal

Work on src/algorithms/math/radian/degreeToRadian.js. Control the external state used while testing degreeToRadian. For a pure function, verify repeated calls and input isolation; for time, randomness, network or UI code, inject or mock the relevant dependency. Fixture: Use the smallest valid input and one ordinary input for degreeToRadian from src/algorithms/math/radian/degreeToRadian.js. Write the literal inputs and independently calculated expected outputs in the tests before editing the implementation. The check must name the source line establishing each precondition.

Steps

  1. Read src/algorithms/math/radian/degreeToRadian.js, especially degreeToRadian near line 5. Record its public inputs, result, mutation behavior and any external dependencies before changing it.
  2. Identify every observable dependency used by this item; explicitly state when none exists.
  3. Run the same fixture twice in fresh isolated state and once after another valid input; assert that earlier runs cannot alter the later result.
  4. Implement work/R51-T045/check.py as a focused runner that executes the new checks and propagates failures. Native check to incorporate: run the repository test script in non-watch mode after installing from its lockfile; for browser-only code use a browser test instead of plain Node. Record the actual command and nonzero test count.
  5. Create the checks specified below and run python3 work/R51-T045/check.py. Save inputs, expected versus actual results and tool versions in work/R51-T045/; a check must exit non-zero when an assertion fails.
  6. Commit the repository change on branch R51-T045; prepare a PR to the organisation fork explaining the result and linking the checks. Keep each task independently reviewable. Remove work/R51-T045/ from a later upstream branch.

Done when

☐ The checked behavior is tied to degreeToRadian in src/algorithms/math/radian/degreeToRadian.js; every assertion has an explicit expected value.
☐ Use the smallest valid input and one ordinary input for degreeToRadian from src/algorithms/math/radian/degreeToRadian.js. Write the literal inputs and independently calculated expected outputs in the tests before editing the implementation. The check must name the source line establishing each precondition.
☐ Existing supported behavior and the public interface are preserved unless a failing regression demonstrates and documents a defect.
☐ The focused test works without live network access, a real user account or GUI interaction.
☐ Any introduced dependency parameter has a default preserving current callers.

Additional task guidance

Additional curated task guidance

Item:
src/algorithms/math/radian

Task type:
Deterministic execution

Code change (goes into the PR):
src/algorithms/math/radian/degreeToRadian.js: make the smallest dependency seam needed for deterministic checks, or add repeatability/input-isolation regression tests if it is already pure.

Automated check:
python3 work/R51-T045/check.py

Prerequisites:
Node matching project CI, the project lockfile dependencies, and Python 3.

Upstream PR rules:
Keep the contribution scoped to the named item and follow the linked contribution instructions and repository CI. Submit coursework to the organisation fork first; keep work/ evidence out of any later upstream PR. Upstream acceptance is not a grading requirement. Policy: https://github.com/trekhleb/javascript-algorithms/blob/85293e3e2b88f4d2ce330d956b139cf628aa1e82/CONTRIBUTING.md

Source (pinned):
https://github.com/trekhleb/javascript-algorithms/blob/85293e3e2b88f4d2ce330d956b139cf628aa1e82/src/algorithms/math/radian/degreeToRadian.js#L5

Change:
Replaces the shared task template with an item-specific contribution brief.

PR destination:
Upstream candidate after review

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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