Calculate confidence interval for benchmark measurements
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@ -79,7 +79,7 @@ class BenchmarkRunner:
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def calculate_confidence_interval(data):
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print('Data: ', data.shape)
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assert len(data) == 5
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assert len(data) == 5, f"Shape: {data.shape}"
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mean = np.mean(data)
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std_err = np.std(data, ddof=1) / np.sqrt(len(data))
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h = std_err * 1.96 # 95% confidence interval
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