Create unit tests for get_x_y_annotation_columns #152
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Co-authored-by: mangiolastefano <[email protected]>
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Pull Request Overview
Adds comprehensive unit tests for get_x_y_annotation_columns to validate its behavior across various data scenarios.
- Introduces helper functions to generate basic and complex test datasets
- Covers empty, single-row, grouped, list, factor, numeric, real-world-like, and edge-case inputs
- Verifies output structure, column orientations, and annotation filtering
Comments suppressed due to low confidence (2)
tests/testthat/test-get_x_y_annotation_columns.R:66
- [nitpick] Test descriptions use mixed casing and phrasing. Standardize all
test_thatdescriptions (e.g., consistently start with the function name in backticks) for better readability.
test_that("get_x_y_annotation_columns handles complex data correctly", {
tests/testthat/test-get_x_y_annotation_columns.R:293
- Consider adding negative tests for invalid inputs (e.g., non-existent x, y, or abundance columns) to verify that the function raises appropriate errors.
})
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
- Updated the get_x_y_annotation_columns function to improve column orientation handling and ensure the abundance column is included in both orientations. - Refactored test cases to use the tidyHeatmap namespace and added tests for boolean row-specific annotations in rectangular data. - Improved test data creation for better clarity and consistency across various scenarios.
…-50e5' of https://github.com/stemangiola/tidyHeatmap into cursor/create-unit-tests-for-get-x-y-annotation-columns-50e5
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Add unit tests for
get_x_y_annotation_columnsas a prerequisite for feature development.