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test
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galipremsagar committed Sep 13, 2024
1 parent 5efca92 commit 5e6ec98
Showing 1 changed file with 5 additions and 3 deletions.
8 changes: 5 additions & 3 deletions ci/cudf_pandas_scripts/pandas-tests/job-summary.py
Original file line number Diff line number Diff line change
Expand Up @@ -68,8 +68,10 @@ def emoji_failed(x):
pr_df = pd.DataFrame.from_dict(pr_results, orient="index").sort_index()
main_df = pd.DataFrame.from_dict(main_results, orient="index").sort_index()
diff_df = pr_df - main_df
pr_df['Slow calls %'] = (pr_df['_slow_function_call']/(pr_df['_slow_function_call'] + pr_df['_fast_function_call']))*100.0
pr_df['Fast calls %'] = (pr_df['_fast_function_call']/(pr_df['_slow_function_call'] + pr_df['_fast_function_call']))*100.0
pr_df = pr_df[["total", "passed", "failed", "skipped", 'Slow calls %', 'Fast calls %']]

pr_df = pr_df[["total", "passed", "failed", "skipped", "_slow_function_call", "_fast_function_call"]]
diff_df = diff_df[["total", "passed", "failed", "skipped"]]
diff_df.columns = diff_df.columns + "_diff"
diff_df["passed_diff"] = diff_df["passed_diff"].map(emoji_passed)
Expand All @@ -89,8 +91,8 @@ def emoji_failed(x):
"passed_diff": "Passed delta",
"failed_diff": "Failed delta",
"skipped_diff": "Skipped delta",
"_slow_function_call" : "Slow function calls",
"_fast_function_call" : "Fast function calls",
# "_slow_function_call" : "Slow function calls",
# "_fast_function_call" : "Fast function calls",
}
)
df = df.sort_values(by=["Failed tests", "Skipped tests"], ascending=False)
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