Solved stream practice

[Constantin-Haranskiy]

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[mateacademy-ai-mentor]

Review Summary

The implementation has a logic error in Task 2 (getOddNumsAverage()). The current approach filters elements first, then applies a map operation to all elements, which loses position context after filtering. This means the position-based logic (subtracting 1 from even-indexed elements) is applied incorrectly, producing wrong average results. The fix requires ensuring position context is preserved when applying the subtraction logic to even-indexed elements before filtering for odd results. Tasks 1, 3, 4, 5, and 6 are implemented correctly using Stream API and meet all requirements. Please fix the logic in getOddNumsAverage() to correctly handle the positional operation.

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[mateacademy-ai-mentor]

Review Summary

Your implementation is complete and correct. All six tasks pass their requirements: Task 2's index preservation issue has been properly fixed using IntStream.range(), Stream API usage is correct across all methods, enum comparisons use .equals() as required, and CandidateValidator correctly implements Predicate<Candidate> with constants for magic numbers. The validateCandidates() method properly uses your custom predicate implementation with alphabetical sorting. Excellent work on fixing the stream indexing issue in Task 2—using IntStream.range() to maintain position context before subtraction is the correct approach.

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