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Sort Items by Custom Criteria

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Sort Items by Custom Criteria in this dataset is a tuple-list ordering task. Input is a list of pairs where the second value is the ranking key. You must return a new list sorted by that key in ascending order while preserving deterministic ordering behavior for ties according to the language runtime?s stable sort semantics.

In Python, the clean implementation is sorted(items, key=lambda x: x[1]). This expresses intent directly, avoids manual comparator complexity, and keeps the code readable. Do not mutate unexpectedly if the function contract expects a returned list; produce the sorted output structure exactly as the judge compares it.

Judge cases include normal unsorted inputs, already sorted inputs, empty input, and tie-heavy input where values share the same key. Return the sorted list of pairs only, with no formatting output. Correctness depends on key extraction accuracy and predictable ordering, not on algorithm reinvention. This challenge is about practical data manipulation fluency: selecting the right sort key, preserving pair structure, and delivering precise output shape for downstream consumers.

In tie situations where two items share the same sort key, stable ordering preserves their original relative position, which keeps output deterministic and easier to test. This matters when downstream checks expect consistent ordering even when key values are equal across many records.

Algorithm Flow

Recommendation Algorithm Flow for Sort Items by Custom Criteria - Budibadu
Recommendation Algorithm Flow for Sort Items by Custom Criteria - Budibadu

Best Answers

python - Approach 1
def sort_and_filter(items):
    get_value = lambda x: x[1]
    return sorted(items, key=get_value)