> ## Documentation Index > Fetch the complete documentation index at: https://demo.agenticlabs.com/llms.txt > Use this file to discover all available pages before exploring further. # dissimilarity_functions_test.py Here's a comprehensive documentation for the target file `test/solver_tests/dissimilarity_functions_test.py`: ## High-level description This file contains unit tests for the dissimilarity functions used in the DistanceSolver module of the Cassiopeia project. It tests various dissimilarity and similarity functions, as well as utility functions related to prior transformations and dissimilarity map saving. ## Code Structure The main class `TestDissimilarityFunctions` inherits from `unittest.TestCase` and contains multiple test methods. Each method tests a specific function from the `dissimilarity_functions` or `solver_utilities` modules. ## Symbols ### `TestDissimilarityFunctions` #### Description A test class that contains unit tests for various dissimilarity functions and related utilities. #### Internal Logic 1. Sets up test data in the `setUp` method. 2. Tests different dissimilarity and similarity functions with various inputs and configurations. 3. Tests prior transformation functions. 4. Tests the function for saving dissimilarity maps as phylip files. ### `setUp` #### Description Initializes test data for use in the test methods. #### Internal Logic 1. Creates sample arrays and lists for testing. 2. Sets up prior probabilities and transforms them using different methods. ### `test_bad_prior_transformations` #### Description Tests that invalid prior transformations raise the expected error. ### `test_negative_log_prior_transformations` #### Description Verifies the correct transformation of priors using the negative log method. ### `test_inverse_prior_transformations` #### Description Verifies the correct transformation of priors using the inverse method. ### `test_sq_inverse_prior_transformations` #### Description Verifies the correct transformation of priors using the square root inverse method. ### `test_weighted_hamming_distance_identical` #### Description Tests the weighted Hamming distance function with identical inputs. ### `test_weighted_hamming_distance_no_priors` #### Description Tests the weighted Hamming distance function without using priors. ### `test_weighted_hamming_distance_priors_negative_log` #### Description Tests the weighted Hamming distance function using negative log transformed priors. ### `test_weighted_hamming_distance_priors_inverse` #### Description Tests the weighted Hamming distance function using inverse transformed priors. ### `test_weighted_hamming_distance_priors_sq_inverse` #### Description Tests the weighted Hamming distance function using square root inverse transformed priors. ### `test_weighted_hamming_distance_all_missing` #### Description Tests the weighted Hamming distance function with all missing values. ### `test_hamming_similarity_without_missing_identical` #### Description Tests the Hamming similarity function without missing values for identical inputs. ### `test_hamming_similarity_without_missing_no_priors` #### Description Tests the Hamming similarity function without missing values and without priors. ### `test_hamming_similarity_without_missing_priors` #### Description Tests the Hamming similarity function without missing values but with priors. ### `test_hamming_similarity_without_missing_all_missing` #### Description Tests the Hamming similarity function with all missing values. ### `test_hamming_similarity_normalized_identical` #### Description Tests the normalized Hamming similarity function with identical inputs. ### `test_hamming_similarity_normalized_no_priors` #### Description Tests the normalized Hamming similarity function without priors. ### `test_hamming_similarity_normalized_priors` #### Description Tests the normalized Hamming similarity function with priors. ### `test_hamming_similarity_normalized_all_missing` #### Description Tests the normalized Hamming similarity function with all missing values. ### `test_weighted_hamming_similarity_identical` #### Description Tests the weighted Hamming similarity function with identical inputs. ### `test_weighted_hamming_similarity_no_priors` #### Description Tests the weighted Hamming similarity function without priors. ### `test_weighted_hamming_similarity_priors` #### Description Tests the weighted Hamming similarity function with priors. ### `test_weighted_hamming_similarity_all_missing` #### Description Tests the weighted Hamming similarity function with all missing values. ### `test_cluster_dissimilarity` #### Description Tests the cluster dissimilarity function. ### `test_cluster_dissimilarity_weighted_hamming_distance_min_linkage` #### Description Tests the cluster dissimilarity function using weighted Hamming distance with minimum linkage. ### `test_hamming_distance` #### Description Tests the Hamming distance function. ### `test_hamming_distance_ignore_missing` #### Description Tests the Hamming distance function with the option to ignore missing values. ### `test_save_dissimilarity_as_phylip` #### Description Tests the function for saving dissimilarity maps as phylip files. #### Internal Logic 1. Creates a sample dissimilarity map. 2. Mocks the file writing process. 3. Calls the function to save the dissimilarity map. 4. Verifies that the correct content is written to the file. ## Dependencies * unittest * unittest.mock * numpy * pandas * cassiopeia.solver.dissimilarity\_functions * cassiopeia.solver.solver\_utilities ## Error Handling The test class uses assertions provided by `unittest.TestCase` to verify the correctness of function outputs and to check for expected exceptions. ## Performance Considerations Some of the tested functions, particularly those involving dissimilarity calculations, may have performance implications for large datasets. However, this test file focuses on correctness rather than performance testing.