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Description
Student: Sapna Shankar Talke
Task: R45-T009 · 9 of 10
Repository: https://github.com/S-AI-Projects/TheAlgorithms-Java
Assigned working branch: student/e26b07f0703
Goal
Work on src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java. Measure the scaling of KasaiAlgorithm on valid inputs while checking correctness. Distinguish algorithm operations from process startup, I/O and compilation. Fixture: Use the smallest valid input and one ordinary input for KasaiAlgorithm from src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java. 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
- Read src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java, especially
KasaiAlgorithmnear line 16. Record its public inputs, result, mutation behavior and any external dependencies before changing it. - Define input size for this algorithm. Select three increasing sizes within a short CPU-only run; use operation counts if timing is dominated by overhead or the domain is fixed.
- Use fixed seeds, fresh inputs and five repetitions per size. Check outputs outside the timed interval and report median plus range.
- Implement work/R45-T009/check.py as a focused runner that executes the new checks and propagates failures. Native check to incorporate: mvn test (JDK 21 as specified in pom.xml); use JUnit in the corresponding src/test/java package. Record the actual command and nonzero test count.
- Create the checks specified below and run
python3 work/R45-T009/check.py. Save inputs, expected versus actual results and tool versions in work/R45-T009/; a check must exit non-zero when an assertion fails. - Commit the repository change on branch R45-T009; prepare a PR to the organisation fork explaining the result and linking the checks. Keep each task independently reviewable. Remove work/R45-T009/ from a later upstream branch.
Done when
☐ The checked behavior is tied to KasaiAlgorithm in src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java; every assertion has an explicit expected value.
☐ Use the smallest valid input and one ordinary input for KasaiAlgorithm from src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java. 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 complexity statement names its input-size variable and distinguishes worst-case claims from observations.
☐ No pass/fail threshold depends on wall-clock speed; all measured cases pass correctness checks.
Additional task guidance
Additional curated task guidance
Item:
src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java
Task type:
Complexity experiment
Code change (goes into the PR):
src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java: add or correct a complexity comment supported by the experiment; add one representative regression to the normal tests. Keep timings in work/R45-T009/.
Automated check:
python3 work/R45-T009/check.py
Prerequisites:
JDK 21, Maven and Python 3.
Upstream PR rules:
Follow the Java style and Maven checks. The project does not accept standalone LeetCode problem additions; a new feature requires an upstream issue first. 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/TheAlgorithms/Java/blob/6edd2d878947c7fb08a6f3286b316eca09fe9200/CONTRIBUTING.md
Source (pinned):
https://github.com/TheAlgorithms/Java/blob/6edd2d878947c7fb08a6f3286b316eca09fe9200/src/main/java/com/thealgorithms/strings/KasaiAlgorithm.java#L16
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.
Activity