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A unit test function that verifies the HashCleaner's behavior when processing a list of unique text chunks, ensuring no chunks are removed when all are distinct.

Purpose

This test validates that the HashCleaner.clean() method correctly handles input where all text chunks are unique and different from each other. It ensures that when there are no duplicate or identical chunks, the cleaner returns all chunks unchanged. This is a negative test case that confirms the cleaner doesn't incorrectly remove unique content.

Source Code

def test_no_identical_chunks(hash_cleaner):
    text_chunks = [
        "Unique text one.",
        "Unique text two.",
        "Unique text three."
    ]
    expected_output = text_chunks
    cleaned_chunks = hash_cleaner.clean(text_chunks)
    assert cleaned_chunks == expected_output

Parameters

Parameter Details

hash_cleaner: A pytest fixture that provides an instance of the HashCleaner class. This fixture is expected to be defined elsewhere in the test suite (likely in conftest.py) and provides a configured HashCleaner object for testing purposes.

Return Value

This function does not return any value (implicitly returns None). It performs assertions to validate the behavior of the hash_cleaner. If the assertion passes, the test succeeds silently; if it fails, pytest raises an AssertionError.

Dependencies

• pytest
• src.cleaners.hash_cleaner

Required Imports

import pytest
from src.cleaners.hash_cleaner import HashCleaner

Usage Example

# This is a test function meant to be run by pytest
# Assuming conftest.py contains:
# @pytest.fixture
# def hash_cleaner():
#     return HashCleaner()

# Run the test using pytest:
# pytest test_file.py::test_no_identical_chunks

# Or programmatically (not typical):
from src.cleaners.hash_cleaner import HashCleaner

def test_no_identical_chunks():
    hash_cleaner = HashCleaner()
    text_chunks = [
        "Unique text one.",
        "Unique text two.",
        "Unique text three."
    ]
    expected_output = text_chunks
    cleaned_chunks = hash_cleaner.clean(text_chunks)
    assert cleaned_chunks == expected_output

test_no_identical_chunks()

Best Practices

• This test should be run as part of a pytest test suite, not as standalone code
• The hash_cleaner fixture must be properly defined before running this test
• This test validates the negative case (no duplicates); ensure complementary tests exist for positive cases (with duplicates)
• The test uses simple string literals for predictable behavior; consider adding tests with edge cases like empty strings or special characters
• The assertion compares the entire list; ensure the HashCleaner preserves order when no duplicates are found

Tags

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