Commit 29eb8b7e authored by Pawel Piatek's avatar Pawel Piatek Committed by Tomasz Zawadzki
Browse files

post_process: simplify highest value function 



This logic is just what "any" does.

Signed-off-by: default avatarPawel 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: default avatarSPDK CI Jenkins <sys_sgci@intel.com>
Reviewed-by: default avatarBen Walker <benjamin.walker@intel.com>
Reviewed-by: default avatarJim Harris <james.r.harris@intel.com>
parent d8a10574

autorun_post.py

+2 −11
Original line number Diff line number Diff line
@@ -9,15 +9,6 @@ import re 
import pandas as pd





def highest_value(inp):

    ret_value = False

    for x in inp:

        if x:

            return True

    else:

        return False





def generateTestCompletionTables(output_dir, completion_table):

    data_table = pd.DataFrame(completion_table, columns=["Agent", "Domain", "Test", "With Asan", "With UBsan"])

    data_table.to_html(os.path.join(output_dir, 'completions_table.html'))
@@ -27,9 +18,9 @@ def generateTestCompletionTables(output_dir, completion_table): 
    pivot_by_agent.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_agent.html'))

    pivot_by_test = pd.pivot_table(data_table, index=["Domain", "Test", "Agent"])

    pivot_by_test.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_test.html'))

    pivot_by_asan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With Asan"], aggfunc=highest_value)

    pivot_by_asan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With Asan"], aggfunc=any)

    pivot_by_asan.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_asan.html'))

    pivot_by_ubsan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With UBsan"], aggfunc=highest_value)

    pivot_by_ubsan = pd.pivot_table(data_table, index=["Domain", "Test"], values=["With UBsan"], aggfunc=any)

    pivot_by_ubsan.to_html(os.path.join(output_dir, "post_process", 'completions_table_by_ubsan.html'))