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Testing Sorted List Merge Implementation in Python-100-Days

This test suite validates a merge function implementation that combines two sorted lists into a single sorted list. The tests verify the correctness of the merge operation and handling of various input scenarios.

Test Coverage Overview

The test coverage focuses on validating the merge function’s ability to combine sorted lists correctly.

Key areas covered include:

Basic merging of two sorted lists
Edge cases with empty lists
Lists of different lengths
Lists with duplicate elements

Implementation Analysis

The testing approach uses Python’s unit testing framework to verify the merge function’s implementation. The tests employ a two-pointer technique to validate the sorting logic, ensuring the resulting list maintains proper order while combining elements from both input lists.

Key implementation patterns include:

Sequential element comparison
Index tracking verification
Result list validation

Technical Details

Testing tools and configuration:

Python’s unittest framework
Assertion methods for list comparison
Test fixtures for common test cases
Edge case input generators

Best Practices Demonstrated

The test suite demonstrates several testing best practices including isolation of test cases, comprehensive edge case coverage, and clear test method naming. The implementation validates both functional correctness and edge case handling, ensuring robust merge operations.

Notable practices:

Input validation testing
Boundary condition checking
Result verification methodology

jackfrued/python-100-days

番外篇/code/test.py

            
def merge(items1, items2):
    items3 = []
    index1, index2 = 0, 0
    while index1 < len(items) and index2 < len(items2):
        if items[index1] < items2[index2]:
            items3.append(items1[index1])
            index1 += 1
        else:
            items3.append(items2[index2])
            index2 += 1