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function test_empty_input

Maturity: 20

A pytest test function that verifies the SimilarityCleaner correctly handles empty input by returning an empty list.

File:
/tf/active/vicechatdev/chromadb-cleanup/tests/test_similarity_cleaner.py
Lines:
31 - 34
Complexity:
simple

Purpose

This is a unit test that validates the edge case behavior of the SimilarityCleaner.clean() method when provided with an empty list of texts. It ensures the cleaner gracefully handles empty input without errors and returns an appropriately empty result.

Source Code

def test_empty_input(setup_similarity_cleaner):
    texts = []
    cleaned_texts = setup_similarity_cleaner.clean(texts)
    assert cleaned_texts == []

Parameters

Name Type Default Kind
setup_similarity_cleaner - - positional_or_keyword

Parameter Details

setup_similarity_cleaner: A pytest fixture that provides an initialized instance of SimilarityCleaner. This fixture is injected by pytest's dependency injection mechanism and should be defined elsewhere in the test suite, typically in a conftest.py file or within the same test module.

Return Value

This function does not explicitly return a value. As a pytest test function, it implicitly returns None if the assertion passes, or raises an AssertionError if the test fails.

Dependencies

  • pytest

Required Imports

import pytest
from src.cleaners.similarity_cleaner import SimilarityCleaner

Usage Example

# This is a test function meant to be run by pytest
# Assuming setup_similarity_cleaner fixture is defined:

@pytest.fixture
def setup_similarity_cleaner():
    return SimilarityCleaner()

def test_empty_input(setup_similarity_cleaner):
    texts = []
    cleaned_texts = setup_similarity_cleaner.clean(texts)
    assert cleaned_texts == []

# Run with: pytest test_file.py::test_empty_input

Best Practices

  • This test should be run as part of a pytest test suite, not called directly
  • The setup_similarity_cleaner fixture must be properly defined before running this test
  • This test validates an important edge case - empty input handling - which is crucial for robust code
  • Consider adding similar tests for other edge cases like None input, single-item lists, etc.
  • Test function names should be descriptive and start with 'test_' for pytest discovery

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