Add tests for compute_bias function - #247
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### Description This pull request expands `backend/tests/test_prediction_feedback.py` as requested in [Issue #168](#168) to add robust test coverage for negative bias detection and neutral/fluctuating patterns within the adaptive learning `compute_bias` function. #### Details: * **Negative Bias Testing:** Added `test_compute_bias_detects_negative_pattern` to verify that consistently early periods (`[-2, -3, -2, -1]`) correctly calculate a negative bias (`< 0`). * **Fluctuating Bias Testing:** Added `test_compute_bias_neutral_fluctuation` to verify that wildly fluctuating error inputs (`[3, -3, 2, -2]`) result in a negligible or zero bias. * **CI Pipeline Reliability:** Ensures comprehensive coverage of mathematical directional drift across all edge cases in the prediction feedback engine. Closes #168
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Description
This pull request expands
backend/tests/test_prediction_feedback.pyas requested in Issue #168 to add robust test coverage for negative bias detection and neutral/fluctuating patterns within the adaptive learningcompute_biasfunction.Details:
test_compute_bias_detects_negative_patternto verify that consistently early periods ([-2, -3, -2, -1]) correctly calculate a negative bias (< 0).test_compute_bias_neutral_fluctuationto verify that wildly fluctuating error inputs ([3, -3, 2, -2]) result in a negligible or zero bias.Closes #168