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A pytest fixture that creates and returns a configured SimilarityCleaner instance with a threshold of 0.8 for use in test cases.

Purpose

This fixture provides a reusable SimilarityCleaner object for testing purposes. It initializes the cleaner with a predefined similarity threshold of 0.8, allowing test functions to use a consistent cleaner instance without repeatedly instantiating it. The SimilarityCleaner is likely used to identify and remove similar or duplicate items based on a similarity metric.

Source Code

def setup_similarity_cleaner():
    cleaner = SimilarityCleaner(threshold=0.8)  # Example threshold for similarity
    return cleaner

Return Value

Returns a SimilarityCleaner instance configured with a similarity threshold of 0.8. This object can be used to perform similarity-based cleaning operations on data, identifying items that exceed the 0.8 similarity threshold.

Dependencies

• pytest
• src.cleaners.similarity_cleaner

Required Imports

import pytest
from src.cleaners.similarity_cleaner import SimilarityCleaner

Usage Example

import pytest
from src.cleaners.similarity_cleaner import SimilarityCleaner

@pytest.fixture
def setup_similarity_cleaner():
    cleaner = SimilarityCleaner(threshold=0.8)
    return cleaner

def test_similarity_cleaning(setup_similarity_cleaner):
    cleaner = setup_similarity_cleaner
    # Use the cleaner in your test
    result = cleaner.clean(some_data)
    assert result is not None

Best Practices

• This fixture should only be used in test files, not in production code
• The threshold value of 0.8 is hardcoded; consider parameterizing it if different thresholds are needed for different tests
• Ensure the SimilarityCleaner class is properly implemented before using this fixture
• Use this fixture by including it as a parameter in test functions that need a SimilarityCleaner instance
• Consider using pytest.fixture(scope='module') or 'session' if the cleaner can be reused across multiple tests to improve performance

Tags

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