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Description
Student: Pruthviraj Gojare
Task: R23-T042 · 2 of 10
Repository: https://github.com/S-AI-Projects/TheAlgorithms-Python
Assigned working branch: student/e26b07f0834
Goal
Use Hypothesis to test the code against a trusted reference or a mathematical property over thousands of random inputs. Reference: hex(int(s, 8)). Properties: matches the reference for every valid octal string; invalid strings raise.
Steps
- Write test_octal_to_hexadecimal_properties.py in work/R23-T042/ using
hypothesisstrategies. - Implement the property/reference checks described in the goal.
- Run it; if Hypothesis finds a failing input, reduce it to a minimal example and either fix the code (with a doctest) or document the limitation.
- Explain each property in PROPERTIES.md.
- Make the code change in the repository: conversions/octal_to_hexadecimal.py: doctests for the inputs the property test exercised (leading zeros, '0o' prefix handling, invalid digits). Re-run the automated check and the repo's own tests afterwards.
- Prepare the PR: on branch R23-T042, commit the code change plus your work/R23-T042/ 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
☐ Property test: octal_to_hex(s) matches hex(int(s, 8)) (in the function's documented output format) for every valid octal string; invalid strings raise.
☐ conversions/octal_to_hexadecimal.py gains doctests for leading zeros, the '0o' prefix and invalid digits (8, 9).
☐ Existing 5 doctests and 3 raise paths unchanged.
Additional task guidance
Additional curated task guidance
Item:
conversions/octal_to_hexadecimal.py (65 lines; 5 doctests)
Task type:
Property-based testing
Code change (goes into the PR):
conversions/octal_to_hexadecimal.py: doctests for the inputs the property test exercised (leading zeros, '0o' prefix handling, invalid digits).
Automated check:
uv run --with hypothesis pytest work/R23-T042/
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/conversions/octal_to_hexadecimal.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.
Activity