def compare_stateless_host_limit_1_update(base_version, current_version, f1,
f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(
dataframe_1,
dataframe_2,
how="right",
on=[
"NumTasks",
"Sleep(s)",
"BatchSize",
],
)
merge_table["Execution Duration Change (%)"] = merge_table.apply(
lambda x: format(
(x["TotalTimeInSeconds_y"] - x["TotalTimeInSeconds_x"]) / float(x[
"TotalTimeInSeconds_x"]) * 100,
".2f",
),
axis=1,
)
enriched_table = styling.enrich_table_layout(
merge_table,
"Execution Duration Change (%)",
"stateless_host_limit_1_update",
base_version,
current_version,
)
print("compare_stateless_host_limit_1_update has created table")
print(merge_table)
return enriched_table
def compare_update(base_version, current_version, f1, f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(
dataframe_1,
dataframe_2,
how="right",
on=[
"NumStartTasks",
"TaskIncrementEachTime",
"NumOfIncrement",
"Sleep(s)",
"UseInsConf",
],
)
merge_table["Execution Duration Change (%)"] = merge_table.apply(
lambda x: format(
(x["TotalTimeInSeconds_y"] - x["TotalTimeInSeconds_x"]) / float(x[
"TotalTimeInSeconds_x"]) * 100,
".2f",
),
axis=1,
)
enriched_table = styling.enrich_table_layout(
merge_table,
"Execution Duration Change (%)",
"update",
base_version,
current_version,
)
return enriched_table
def compare_create(base_version, current_version, f1, f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(
dataframe_1,
dataframe_2,
how="right",
on=["Cores", "Sleep(s)", "UseInsConf", "TaskNum"],
)
merge_table["Execution Duration Change (%)"] = merge_table.apply(
lambda x: format(
(x["Exec(s)_y"] - x["Exec(s)_x"]) / float(x["Exec(s)_x"]) * 100,
".2f",
),
axis=1,
)
enriched_table = styling.enrich_table_layout(
merge_table,
"Execution Duration Change (%)",
"create",
base_version,
current_version,
)
return enriched_table
def compare_get(base_version, current_version, f1, f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(
dataframe_1,
dataframe_2,
how="right",
on=["TaskNum", "Sleep(s)", "UseInsConf"],
)
merge_table["Get Counts Change (%)"] = merge_table.apply(
lambda x: format(
(x["Gets_y"] - x["Gets_x"]) / float(x["Gets_x"]) * 100, ".2f"
),
axis=1,
)
enriched_table = styling.enrich_table_layout(
merge_table,
"Get Counts Change (%)",
"get",
base_version,
current_version,
)
return enriched_table
def compare_create(base_version, current_version, f1, f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(dataframe_1,
dataframe_2,
how='right',
on=['Cores', 'Sleep(s)', 'UseInsConf', 'TaskNum'])
merge_table['Execution Duration Change (%)'] = merge_table.apply(
lambda x: format((x['Exec(s)_y'] - x['Exec(s)_x']) / float(x[
'Exec(s)_x']) * 100, '.2f'),
axis=1)
enriched_table = styling.enrich_table_layout(
merge_table, 'Execution Duration Change (%)', 'create', base_version,
current_version)
return enriched_table
def compare_get(base_version, current_version, f1, f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(dataframe_1,
dataframe_2,
how='right',
on=['TaskNum', 'Sleep(s)', 'UseInsConf'])
merge_table['Get Counts Change (%)'] = merge_table.apply(lambda x: format(
(x['Gets_y'] - x['Gets_x']) / float(x['Gets_x']) * 100, '.2f'),
axis=1)
enriched_table = styling.enrich_table_layout(merge_table,
'Get Counts Change (%)',
'get', base_version,
current_version)
return enriched_table
def compare_update(base_version, current_version, f1, f2):
dataframe_1, dataframe_2 = to_df(f1), to_df(f2)
merge_table = pd.merge(dataframe_1,
dataframe_2,
how='right',
on=[
'NumStartTasks', 'TaskIncrementEachTime',
'NumOfIncrement', 'Sleep(s)', 'UseInsConf'
])
merge_table['Execution Duration Change (%)'] = merge_table.apply(
lambda x: format((x['TotalTimeInSeconds_y'] - x['TotalTimeInSeconds_x']
) / float(x['TotalTimeInSeconds_x']) * 100, '.2f'),
axis=1)
enriched_table = styling.enrich_table_layout(
merge_table, 'Execution Duration Change (%)', 'update', base_version,
current_version)
return enriched_table
