post_process: simplify highest value function
This logic is just what "any" does. Signed-off-by: Pawel Piatek <pawelx.piatek@intel.com> Change-Id: Id6384e7e284dfabb73f9ecfbc10c40643c3c5177 Reviewed-on: https://review.spdk.io/gerrit/c/spdk/spdk/+/11490 Community-CI: Broadcom CI <spdk-ci.pdl@broadcom.com> Tested-by: SPDK CI Jenkins <sys_sgci@intel.com> Reviewed-by: Ben Walker <benjamin.walker@intel.com> Reviewed-by: Jim Harris <james.r.harris@intel.com>
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@ -9,15 +9,6 @@ import re
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import pandas as pd
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def highest_value(inp):
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ret_value = False
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for x in inp:
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if x:
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return True
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else:
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return False
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def generateTestCompletionTables(output_dir, completion_table):
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data_table = pd.DataFrame(completion_table, columns=["Agent", "Domain", "Test", "With Asan", "With UBsan"])
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data_table.to_html(os.path.join(output_dir, 'completions_table.html'))
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@ -27,9 +18,9 @@ def generateTestCompletionTables(output_dir, completion_table):
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pivot_by_agent.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_agent.html'))
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pivot_by_test = pd.pivot_table(data_table, index=["Domain", "Test", "Agent"])
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pivot_by_test.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_test.html'))
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pivot_by_asan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With Asan"], aggfunc=highest_value)
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pivot_by_asan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With Asan"], aggfunc=any)
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pivot_by_asan.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_asan.html'))
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pivot_by_ubsan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With UBsan"], aggfunc=highest_value)
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pivot_by_ubsan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With UBsan"], aggfunc=any)
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pivot_by_ubsan.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_ubsan.html'))
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