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Unified Diff: scripts/slave/recipe_modules/auto_bisect/resources/significantly_different_inner.py

Issue 1610203003: Iteratively increase sample size for good/bad classification. (Closed) Base URL: https://chromium.googlesource.com/chromium/tools/build.git@master
Patch Set: Rebasing Created 4 years, 10 months ago
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Index: scripts/slave/recipe_modules/auto_bisect/resources/significantly_different_inner.py
diff --git a/scripts/slave/recipe_modules/auto_bisect/resources/significantly_different_inner.py b/scripts/slave/recipe_modules/auto_bisect/resources/significantly_different_inner.py
new file mode 100644
index 0000000000000000000000000000000000000000..da4314896a77cc9d8482dee20ce011a6cc0f796b
--- /dev/null
+++ b/scripts/slave/recipe_modules/auto_bisect/resources/significantly_different_inner.py
@@ -0,0 +1,49 @@
+"""This file is meant to be run in an environment where scipy is available."""
+import json
+import logging
+import sys
+
+try:
+ from scipy import stats
+except ImportError:
+ def main():
+ # scipy required, see module docstring.
+ logging.warning(sys.modules[__name__].__doc__)
+ return 1
+else:
+
+ def main():
+ if len(sys.argv) < 4:
+ return 1
+ _, list_a, list_b, significance = sys.argv[:4]
+ list_a = json.loads(list_a)
+ list_b = json.loads(list_b)
+ significance = float(significance)
+
+ shapiro_p_value = stats.shapiro(list_a)[1], stats.shapiro(list_b)[1]
+ mann_whitney_p_value = stats.mannwhitneyu(list_a, list_b).pvalue
+ anderson_p_value = stats.anderson_ksamp([list_a, list_b]).significance_level
+ welch_p_value = stats.ttest_ind(list_a, list_b, equal_var=False)[1]
+
+ results = {
+ 'first_sample': list_a,
+ 'second_sample': list_b,
+ 'shapiro_p_value': shapiro_p_value,
+ 'mann_p_value': mann_whitney_p_value,
+ 'anderson_p_value': anderson_p_value,
+ 'welch_p_value': welch_p_value,
+ }
+
+ if (results['shapiro_p_value'][0] < significance and
+ results['shapiro_p_value'][1] < significance):
+ results['normal-y'] = True
+ else:
+ results['normal-y'] = False
+ results['significantly_different'] = bool(
+ float(results['mann_p_value']) < float(significance))
+
+ print json.dumps(results)
+ return 0
+
+if __name__ == '__main__':
+ sys.exit(main())

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