function test_identical_chunks_with_different_cases
A unit test function that verifies the HashCleaner's ability to remove duplicate text chunks while being case-sensitive, ensuring that strings differing only in case are treated as distinct entries.
/tf/active/vicechatdev/chromadb-cleanup/tests/test_hash_cleaner.py
38 - 49
simple
Purpose
This test validates that the HashCleaner.clean() method correctly handles case-sensitive deduplication of text chunks. It ensures that 'Case sensitive test.' and 'case sensitive test.' are treated as different strings, with only exact duplicates being removed. This is critical for applications where case distinctions matter in text processing.
Source Code
def test_identical_chunks_with_different_cases(hash_cleaner):
text_chunks = [
"Case sensitive test.",
"case sensitive test.",
"Another unique test."
]
expected_output = [
"Case sensitive test.",
"Another unique test."
]
cleaned_chunks = hash_cleaner.clean(text_chunks)
assert cleaned_chunks == expected_output
Parameters
| Name | Type | Default | Kind |
|---|---|---|---|
hash_cleaner |
- | - | positional_or_keyword |
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 and should return a properly initialized HashCleaner object ready for testing.
Return Value
This function does not return any value (implicitly returns None). It performs assertions to validate the behavior of the hash_cleaner.clean() method. If the assertion fails, pytest will raise an AssertionError.
Dependencies
pytestsrc.cleaners.hash_cleaner
Required Imports
import pytest
from src.cleaners.hash_cleaner import HashCleaner
Usage Example
# In conftest.py or the test file:
import pytest
from src.cleaners.hash_cleaner import HashCleaner
@pytest.fixture
def hash_cleaner():
return HashCleaner()
# Run the test using pytest:
# pytest test_file.py::test_identical_chunks_with_different_cases
# Or run all tests in the file:
# pytest test_file.py
Best Practices
- This test should be run as part of a pytest test suite, not as a standalone function
- The hash_cleaner fixture must be properly defined before running this test
- The test validates case-sensitive behavior - ensure this aligns with the intended use case of HashCleaner
- Consider adding additional test cases for edge cases like empty strings, special characters, or Unicode characters with different cases
- The test assumes that HashCleaner preserves the first occurrence of duplicate items and removes subsequent ones
Similar Components
AI-powered semantic similarity - components with related functionality:
-
function test_remove_identical_chunks 88.5% similar
-
function test_no_identical_chunks 87.7% similar
-
function test_identical_text_removal 72.3% similar
-
function test_nearly_similar_text_handling 71.7% similar
-
function test_empty_input_v1 69.4% similar