diff options
Diffstat (limited to 'resources/tools/presentation/generator_tables.py')
| -rw-r--r-- | resources/tools/presentation/generator_tables.py | 112 |
1 files changed, 75 insertions, 37 deletions
diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py index ef2f3c5fb5..2e2dfef0ca 100644 --- a/resources/tools/presentation/generator_tables.py +++ b/resources/tools/presentation/generator_tables.py @@ -30,7 +30,7 @@ import pandas as pd from numpy import nan, isnan -from pal_utils import mean, stdev, relative_change, classify_anomalies, \ +from pal_utils import mean, stdev, classify_anomalies, \ convert_csv_to_pretty_txt, relative_change_stdev @@ -611,7 +611,8 @@ def table_perf_comparison(table, input_data): f"{table[u'reference'][u'title']} Stdev [Mpps]", f"{table[u'compare'][u'title']} {hdr_param} [Mpps]", f"{table[u'compare'][u'title']} Stdev [Mpps]", - u"Delta [%]" + u"Delta [%]", + u"Stdev of delta [%]" ] ) header_str = u",".join(header) + u"\n" @@ -788,17 +789,25 @@ def table_perf_comparison(table, input_data): item.extend([u"Not tested", u"Not tested"]) else: item.extend([u"Not tested", u"Not tested"]) - data_t = tbl_dict[tst_name][u"ref-data"] - if data_t: - item.append(round(mean(data_t) / 1000000, 2)) - item.append(round(stdev(data_t) / 1000000, 2)) + data_r = tbl_dict[tst_name][u"ref-data"] + if data_r: + data_r_mean = mean(data_r) + item.append(round(data_r_mean / 1000000, 2)) + data_r_stdev = stdev(data_r) + item.append(round(data_r_stdev / 1000000, 2)) else: + data_r_mean = None + data_r_stdev = None item.extend([u"Not tested", u"Not tested"]) - data_t = tbl_dict[tst_name][u"cmp-data"] - if data_t: - item.append(round(mean(data_t) / 1000000, 2)) - item.append(round(stdev(data_t) / 1000000, 2)) + data_c = tbl_dict[tst_name][u"cmp-data"] + if data_c: + data_c_mean = mean(data_c) + item.append(round(data_c_mean / 1000000, 2)) + data_c_stdev = stdev(data_c) + item.append(round(data_c_stdev / 1000000, 2)) else: + data_c_mean = None + data_c_stdev = None item.extend([u"Not tested", u"Not tested"]) if item[-2] == u"Not tested": pass @@ -807,8 +816,12 @@ def table_perf_comparison(table, input_data): # elif topo == u"2n-skx" and u"dot1q" in tbl_dict[tst_name][u"name"]: # item.append(u"See footnote [1]") # footnote = True - elif item[-4] != 0: - item.append(int(relative_change(float(item[-4]), float(item[-2])))) + elif data_r_mean and data_c_mean: + delta, d_stdev = relative_change_stdev( + data_r_mean, data_c_mean, data_r_stdev, data_c_stdev + ) + item.append(round(delta, 2)) + item.append(round(d_stdev, 2)) if (len(item) == len(header)) and (item[-3] != u"Not tested"): tbl_lst.append(item) @@ -884,7 +897,8 @@ def table_perf_comparison_nic(table, input_data): f"{table[u'reference'][u'title']} Stdev [Mpps]", f"{table[u'compare'][u'title']} {hdr_param} [Mpps]", f"{table[u'compare'][u'title']} Stdev [Mpps]", - u"Delta [%]" + u"Delta [%]", + u"Stdev of delta [%]" ] ) header_str = u",".join(header) + u"\n" @@ -1067,17 +1081,25 @@ def table_perf_comparison_nic(table, input_data): item.extend([u"Not tested", u"Not tested"]) else: item.extend([u"Not tested", u"Not tested"]) - data_t = tbl_dict[tst_name][u"ref-data"] - if data_t: - item.append(round(mean(data_t) / 1000000, 2)) - item.append(round(stdev(data_t) / 1000000, 2)) + data_r = tbl_dict[tst_name][u"ref-data"] + if data_r: + data_r_mean = mean(data_r) + item.append(round(data_r_mean / 1000000, 2)) + data_r_stdev = stdev(data_r) + item.append(round(data_r_stdev / 1000000, 2)) else: + data_r_mean = None + data_r_stdev = None item.extend([u"Not tested", u"Not tested"]) - data_t = tbl_dict[tst_name][u"cmp-data"] - if data_t: - item.append(round(mean(data_t) / 1000000, 2)) - item.append(round(stdev(data_t) / 1000000, 2)) + data_c = tbl_dict[tst_name][u"cmp-data"] + if data_c: + data_c_mean = mean(data_c) + item.append(round(data_c_mean / 1000000, 2)) + data_c_stdev = stdev(data_c) + item.append(round(data_c_stdev / 1000000, 2)) else: + data_c_mean = None + data_c_stdev = None item.extend([u"Not tested", u"Not tested"]) if item[-2] == u"Not tested": pass @@ -1086,8 +1108,12 @@ def table_perf_comparison_nic(table, input_data): # elif topo == u"2n-skx" and u"dot1q" in tbl_dict[tst_name][u"name"]: # item.append(u"See footnote [1]") # footnote = True - elif item[-4] != 0: - item.append(int(relative_change(float(item[-4]), float(item[-2])))) + elif data_r_mean and data_c_mean: + delta, d_stdev = relative_change_stdev( + data_r_mean, data_c_mean, data_r_stdev, data_c_stdev + ) + item.append(round(delta, 2)) + item.append(round(d_stdev, 2)) if (len(item) == len(header)) and (item[-3] != u"Not tested"): tbl_lst.append(item) @@ -1155,7 +1181,8 @@ def table_nics_comparison(table, input_data): f"{table[u'reference'][u'title']} Stdev [Mpps]", f"{table[u'compare'][u'title']} {hdr_param} [Mpps]", f"{table[u'compare'][u'title']} Stdev [Mpps]", - u"Delta [%]" + u"Delta [%]", + u"Stdev of delta [%]" ] ) @@ -1177,7 +1204,6 @@ def table_nics_comparison(table, input_data): u"cmp-data": list() } try: - result = None if table[u"include-tests"] == u"MRR": result = tst_data[u"result"][u"receive-rate"] elif table[u"include-tests"] == u"PDR": @@ -1200,21 +1226,32 @@ def table_nics_comparison(table, input_data): tbl_lst = list() for tst_name in tbl_dict: item = [tbl_dict[tst_name][u"name"], ] - data_t = tbl_dict[tst_name][u"ref-data"] - if data_t: - item.append(round(mean(data_t) / 1000000, 2)) - item.append(round(stdev(data_t) / 1000000, 2)) + data_r = tbl_dict[tst_name][u"ref-data"] + if data_r: + data_r_mean = mean(data_r) + item.append(round(data_r_mean / 1000000, 2)) + data_r_stdev = stdev(data_r) + item.append(round(data_r_stdev / 1000000, 2)) else: + data_r_mean = None + data_r_stdev = None item.extend([None, None]) - data_t = tbl_dict[tst_name][u"cmp-data"] - if data_t: - item.append(round(mean(data_t) / 1000000, 2)) - item.append(round(stdev(data_t) / 1000000, 2)) + data_c = tbl_dict[tst_name][u"cmp-data"] + if data_c: + data_c_mean = mean(data_c) + item.append(round(data_c_mean / 1000000, 2)) + data_c_stdev = stdev(data_c) + item.append(round(data_c_stdev / 1000000, 2)) else: + data_c_mean = None + data_c_stdev = None item.extend([None, None]) - if item[-4] is not None and item[-2] is not None and item[-4] != 0: - item.append(int(relative_change(float(item[-4]), float(item[-2])))) - if len(item) == len(header): + if data_r_mean and data_c_mean: + delta, d_stdev = relative_change_stdev( + data_r_mean, data_c_mean, data_r_stdev, data_c_stdev + ) + item.append(round(delta, 2)) + item.append(round(d_stdev, 2)) tbl_lst.append(item) # Sort the table according to the relative change @@ -1260,7 +1297,8 @@ def table_soak_vs_ndr(table, input_data): f"{table[u'reference'][u'title']} Stdev [Mpps]", f"{table[u'compare'][u'title']} Thput [Mpps]", f"{table[u'compare'][u'title']} Stdev [Mpps]", - u"Delta [%]", u"Stdev of delta [%]" + u"Delta [%]", + u"Stdev of delta [%]" ] header_str = u",".join(header) + u"\n" except (AttributeError, KeyError) as err: |