def _clean_binomial_mde()

in spotify_confidence/samplesize/sample_size_calculator.py [0:0]

• 7 lines of code
• 3 McCabe index (conditional complexity)

    def _clean_binomial_mde(absolute_percentage_mde, baseline_proportion):
        """Validate that mde is percentage and not too large.

        Args:
            absolute_percentage_mde (float): Average absolute minimal
                detectable effect size across all tests.
            baseline_proportion (float): Baseline metric proportion in
                target population.

        Returns:
            float: Average absolute minimal detectable effect size.

        """
        mde = SampleSize._validate_percentage(absolute_percentage_mde)
        baseline = SampleSize._validate_percentage(baseline_proportion)

        if baseline - mde < 0 and baseline + mde > 1:
            raise ValueError("absolute_percentage_mde is too large " "given baseline_proportion")
        else:
            return mde