#!/usr/bin/env python3 # -*- coding: utf-8 -*- # ===--- test_compare_perf_tests.py --------------------------------------===// # # This source file is part of the Swift.org open source project # # Copyright (c) 2014 - 2017 Apple Inc. and the Swift project authors # Licensed under Apache License v2.0 with Runtime Library Exception # # See https://swift.org/LICENSE.txt for license information # See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors # # ===---------------------------------------------------------------------===// import json import os import shutil import sys import tempfile import unittest from compare_perf_tests import LogParser from compare_perf_tests import PerformanceTestResult from compare_perf_tests import ReportFormatter from compare_perf_tests import ResultComparison from compare_perf_tests import TestComparator from compare_perf_tests import main from compare_perf_tests import parse_args from test_utils import captured_output class TestPerformanceTestResult(unittest.TestCase): def test_init(self): header = "#,TEST,SAMPLES,MIN,MAX,MEAN,SD,MEDIAN" log_line = "1,AngryPhonebook,20,10664,12933,11035,576,10884" r = PerformanceTestResult.fromOldFormat(header, log_line) self.assertEqual(r.test_num, 1) self.assertEqual(r.name, "AngryPhonebook") self.assertEqual( (r.num_samples, r.min_value, r.max_value, r.mean, r.sd, r.median), (20, 10664, 12933, 11035, 576, 10884), ) self.assertEqual(r.samples, []) header = "#,TEST,SAMPLES,MIN,MAX,MEAN,SD,MEDIAN,MAX_RSS" log_line = "1,AngryPhonebook,1,12045,12045,12045,0,12045,10510336" r = PerformanceTestResult.fromOldFormat(header, log_line) self.assertEqual(r.max_rss, 10510336) def test_init_quantiles(self): header = "#,TEST,SAMPLES,MIN(μs),MEDIAN(μs),MAX(μs)" log = "1,Ackermann,3,54383,54512,54601" r = PerformanceTestResult.fromQuantileFormat(header, log) self.assertEqual(r.test_num, 1) self.assertEqual(r.name, "Ackermann") self.assertEqual( (r.num_samples, r.min_value, r.median, r.max_value), (3, 54383, 54512, 54601) ) self.assertAlmostEqual(r.mean, 54498.67, places=2) self.assertAlmostEqual(r.sd, 109.61, places=2) self.assertEqual(r.samples, [54383, 54512, 54601]) header = "#,TEST,SAMPLES,MIN(μs),MEDIAN(μs),MAX(μs),MAX_RSS(B)" log = "1,Ackermann,3,54529,54760,55807,266240" r = PerformanceTestResult.fromQuantileFormat(header, log) self.assertEqual((len(r.samples), r.max_rss), (3, 266240)) header = "#,TEST,SAMPLES,MIN(μs),Q1(μs),Q2(μs),Q3(μs),MAX(μs)" log = "1,Ackermann,5,54570,54593,54644,57212,58304" r = PerformanceTestResult.fromQuantileFormat(header, log) self.assertEqual( (r.num_samples, r.min_value, r.median, r.max_value), (5, 54570, 54644, 58304) ) self.assertEqual((r.q1, r.q3), (54581.5, 57758)) self.assertEqual(len(r.samples), 5) header = "#,TEST,SAMPLES,MIN(μs),Q1(μs),Q2(μs),Q3(μs),MAX(μs),MAX_RSS(B)" log = "1,Ackermann,5,54686,54731,54774,55030,63466,270336" r = PerformanceTestResult.fromQuantileFormat(header, log) self.assertEqual(r.num_samples, 5) self.assertEqual(len(r.samples), 5) self.assertEqual(r.max_rss, 270336) def test_init_delta_quantiles(self): # 2-quantile from 2 samples in repeated min, when delta encoded, # the difference is 0, which is omitted -- only separator remains header = "#,TEST,SAMPLES,MIN(μs),𝚫MEDIAN,𝚫MAX" log = "202,DropWhileArray,2,265,,22" r = PerformanceTestResult.fromQuantileFormat(header, log) self.assertEqual((r.num_samples, r.min_value, r.median, r.max_value), (2, 265, 276, 287)) self.assertEqual(len(r.samples), 2) self.assertEqual(r.num_samples, 2) def test_init_oversampled_quantiles(self): """When num_samples is < quantile + 1, some of the measurements are repeated in the report summary. Samples should contain only true values, discarding the repeated artifacts from quantile estimation. The test string is slightly massaged output of the following R script: subsample <- function(x, q) { quantile(1:x, probs=((0:(q-1))/(q-1)), type=1)} tbl <- function(s) t(sapply(1:s, function(x) { qs <- subsample(x, s); c(qs[1], diff(qs)) })) sapply(c(3, 5, 11, 21), tbl) TODO: Delete this test when we delete quantile support from the benchmark harness. Reconstructing samples from quantiles as this code is trying to do is not really statistically sound, which is why we're going to delete most of this in favor of an architecture where the lowest-level benchmarking logic reports samples, we store and pass raw sample data around as much as possible, and summary statistics are only computed as necessary for actual reporting (and then discarded, since we can recompute anything we need if we always have the raw samples available). """ def validatePTR(deq): # construct from delta encoded quantiles string deq = deq.split(",") num_samples = deq.count("1") r = PerformanceTestResult( ["0", "B", str(num_samples)] + deq, quantiles=True, delta=True ) self.assertEqual(len(r.samples), num_samples) self.assertEqual(r.samples, range(1, num_samples + 1)) delta_encoded_quantiles = """ 1,, 1,,1 1,,,, 1,,,1, 1,,1,1, 1,,1,1,1 1,,,,,,,,,, 1,,,,,,1,,,, 1,,,,1,,,1,,, 1,,,1,,,1,,1,, 1,,,1,,1,,1,,1, 1,,1,,1,,1,1,,1, 1,,1,1,,1,1,,1,1, 1,,1,1,1,,1,1,1,1, 1,,1,1,1,1,1,1,1,1, 1,,1,1,1,1,1,1,1,1,1 1,,,,,,,,,,,,,,,,,,,, 1,,,,,,,,,,,1,,,,,,,,, 1,,,,,,,1,,,,,,,1,,,,,, 1,,,,,,1,,,,,1,,,,,1,,,, 1,,,,,1,,,,1,,,,1,,,,1,,, 1,,,,1,,,1,,,,1,,,1,,,1,,, 1,,,1,,,1,,,1,,,1,,,1,,,1,, 1,,,1,,,1,,1,,,1,,1,,,1,,1,, 1,,,1,,1,,1,,1,,,1,,1,,1,,1,, 1,,,1,,1,,1,,1,,1,,1,,1,,1,,1, 1,,1,,1,,1,,1,,1,1,,1,,1,,1,,1, 1,,1,,1,,1,1,,1,,1,1,,1,,1,1,,1, 1,,1,,1,1,,1,1,,1,1,,1,1,,1,1,,1, 1,,1,1,,1,1,,1,1,,1,1,1,,1,1,,1,1, 1,,1,1,,1,1,1,,1,1,1,,1,1,1,,1,1,1, 1,,1,1,1,,1,1,1,1,,1,1,1,1,,1,1,1,1, 1,,1,1,1,1,1,,1,1,1,1,1,1,,1,1,1,1,1, 1,,1,1,1,1,1,1,1,1,,1,1,1,1,1,1,1,1,1, 1,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, 1,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1""" map(validatePTR, delta_encoded_quantiles.split("\n")[1:]) def test_init_meta(self): header = ( "#,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs)," + "MEDIAN(μs),PAGES,ICS,YIELD" ) log = "1,Ackermann,200,715,1281,726,47,715,7,29,15" r = PerformanceTestResult.fromOldFormat(header, log) self.assertEqual((r.test_num, r.name), (1, "Ackermann")) self.assertEqual( (r.num_samples, r.min_value, r.max_value, r.mean, r.sd, r.median), (200, 715, 1281, 726, 47, 715), ) self.assertEqual((r.mem_pages, r.involuntary_cs, r.yield_count), (7, 29, 15)) header = ( "#,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs)," + "MAX_RSS(B),PAGES,ICS,YIELD" ) log = "1,Ackermann,200,715,1951,734,97,715,36864,9,50,15" r = PerformanceTestResult.fromOldFormat(header, log) self.assertEqual( (r.num_samples, r.min_value, r.max_value, r.mean, r.sd, r.median), (200, 715, 1951, 734, 97, 715), ) self.assertEqual( (r.mem_pages, r.involuntary_cs, r.yield_count, r.max_rss), (9, 50, 15, 36864), ) header = "#,TEST,SAMPLES,MIN(μs),MAX(μs),PAGES,ICS,YIELD" log = "1,Ackermann,200,715,3548,8,31,15" r = PerformanceTestResult.fromOldFormat(header, log) self.assertEqual((r.num_samples, r.min_value, r.max_value), (200, 715, 3548)) self.assertEqual(r.samples, []) self.assertEqual((r.mem_pages, r.involuntary_cs, r.yield_count), (8, 31, 15)) header = "#,TEST,SAMPLES,MIN(μs),MAX(μs),MAX_RSS(B),PAGES,ICS,YIELD" log = "1,Ackermann,200,715,1259,32768,8,28,15" r = PerformanceTestResult.fromOldFormat(header, log) self.assertEqual((r.num_samples, r.min_value, r.max_value), (200, 715, 1259)) self.assertEqual(r.samples, []) self.assertEqual(r.max_rss, 32768) self.assertEqual((r.mem_pages, r.involuntary_cs, r.yield_count), (8, 28, 15)) def test_merge(self): tests = [ """{"number":1,"name":"AngryPhonebook", "samples":[12045]}""", """{"number":1,"name":"AngryPhonebook", "samples":[12325],"max_rss":10510336}""", """{"number":1,"name":"AngryPhonebook", "samples":[11616],"max_rss":10502144}""", """{"number":1,"name":"AngryPhonebook", "samples":[12270],"max_rss":10498048}""" ] results = [PerformanceTestResult(json) for json in tests] def as_tuple(r): return ( r.num_samples, r.min_value, r.max_value, round(r.mean, 2), round(r.sd, 2), r.median, r.max_rss, ) r = results[0] self.assertEqual(as_tuple(r), (1, 12045, 12045, 12045, 0, 12045, None)) r.merge(results[1]) self.assertEqual( as_tuple(r), (2, 12045, 12325, 12185, 197.99, 12185, 10510336), ) r.merge(results[2]) self.assertEqual( as_tuple(r), (3, 11616, 12325, 11995.33, 357.1, 12045, 10502144), ) r.merge(results[3]) self.assertEqual( as_tuple(r), (4, 11616, 12325, 12064, 322.29, 12157.5, 10498048), ) def test_legacy_merge(self): header = """#,TEST,NUM_SAMPLES,MIN,MAX,MEAN,SD,MEDIAN, MAX_RSS""" tests = [ """1,AngryPhonebook,8,12045,12045,12045,0,12045""", """1,AngryPhonebook,8,12325,12325,12325,0,12325,10510336""", """1,AngryPhonebook,8,11616,11616,11616,0,11616,10502144""", """1,AngryPhonebook,8,12270,12270,12270,0,12270,10498048""" ] results = [PerformanceTestResult.fromOldFormat(header, row) for row in tests] def as_tuple(r): return ( r.num_samples, r.min_value, r.max_value, round(r.mean, 2), round(r.sd, 2) if r.sd is not None else None, r.median, r.max_rss, ) r = results[0] self.assertEqual(as_tuple(r), (8, 12045, 12045, 12045, 0, 12045, None)) r.merge(results[1]) self.assertEqual( as_tuple(r), # Note: SD, Median are lost (16, 12045, 12325, 12185, None, None, 10510336), ) r.merge(results[2]) self.assertEqual( as_tuple(r), (24, 11616, 12325, 11995.33, None, None, 10502144), ) r.merge(results[3]) self.assertEqual( as_tuple(r), (32, 11616, 12325, 12064, None, None, 10498048), ) class TestResultComparison(unittest.TestCase): def setUp(self): self.r0 = PerformanceTestResult( """{"number":101,"name":"GlobalClass", "samples":[0,0,0,0,0],"max_rss":10185728}""" ) self.r01 = PerformanceTestResult( """{"number":101,"name":"GlobalClass", "samples":[20,20,20],"max_rss":10185728}""" ) self.r1 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[12325],"max_rss":10510336}""" ) self.r2 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[11616],"max_rss":10502144}""" ) self.r3 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[11616,12326],"max_rss":10502144}""" ) def test_init(self): rc = ResultComparison(self.r1, self.r2) self.assertEqual(rc.name, "AngryPhonebook") self.assertAlmostEqual(rc.ratio, 12325.0 / 11616.0) self.assertAlmostEqual(rc.delta, (((11616.0 / 12325.0) - 1) * 100), places=3) # handle test results that sometimes change to zero, when compiler # optimizes out the body of the incorrectly written test rc = ResultComparison(self.r0, self.r0) self.assertEqual(rc.name, "GlobalClass") self.assertAlmostEqual(rc.ratio, 1) self.assertAlmostEqual(rc.delta, 0, places=3) rc = ResultComparison(self.r0, self.r01) self.assertAlmostEqual(rc.ratio, 0, places=3) self.assertAlmostEqual(rc.delta, 2000000, places=3) rc = ResultComparison(self.r01, self.r0) self.assertAlmostEqual(rc.ratio, 20001) self.assertAlmostEqual(rc.delta, -99.995, places=3) # disallow comparison of different test results self.assertRaises(AssertionError, ResultComparison, self.r0, self.r1) def test_values_is_dubious(self): self.assertFalse(ResultComparison(self.r1, self.r2).is_dubious) # new.min < old.min < new.max self.assertTrue(ResultComparison(self.r1, self.r3).is_dubious) # other way around: old.min < new.min < old.max self.assertTrue(ResultComparison(self.r3, self.r1).is_dubious) class FileSystemIntegration(unittest.TestCase): def setUp(self): # Create a temporary directory self.test_dir = tempfile.mkdtemp() def tearDown(self): # Remove the directory after the test shutil.rmtree(self.test_dir) def write_temp_file(self, file_name, data): temp_file_name = os.path.join(self.test_dir, file_name) with open(temp_file_name, "w") as f: for line in data: f.write(line) f.write('\n') return temp_file_name class OldAndNewLog(unittest.TestCase): old_log_content = [ """{"number":1,"name":"AngryPhonebook",""" + """"samples":[10458,12714,11000],"max_rss":10204365}""", """{"number":2,"name":"AnyHashableWithAClass",""" + """"samples":[247027,319065,259056,259056],"max_rss":10250445}""", """{"number":3,"name":"Array2D",""" + """"samples":[335831,400221,346622,346622],"max_rss":28297216}""", """{"number":4,"name":"ArrayAppend",""" + """"samples":[23641,29000,24990,24990],"max_rss":11149926}""", """{"number":34,"name":"BitCount","samples":[3,4,4,4],"max_rss":10192896}""", """{"number":35,"name":"ByteSwap","samples":[4,6,4,4],"max_rss":10185933}""" ] new_log_content = [ """{"number":265,"name":"TwoSum","samples":[5006,5679,5111,5111]}""", """{"number":35,"name":"ByteSwap","samples":[0,0,0,0,0]}""", """{"number":34,"name":"BitCount","samples":[9,9,9,9]}""", """{"number":4,"name":"ArrayAppend","samples":[20000,29000,24990,24990]}""", """{"number":3,"name":"Array2D","samples":[335831,400221,346622,346622]}""", """{"number":1,"name":"AngryPhonebook","samples":[10458,12714,11000,11000]}""" ] def makeResult(json_text): return PerformanceTestResult(json.loads(json_text)) old_results = dict( [ (r.name, r) for r in map(makeResult, old_log_content) ] ) new_results = dict( [ (r.name, r) for r in map(makeResult, new_log_content) ] ) def assert_report_contains(self, texts, report): assert not isinstance(texts, str) for text in texts: self.assertIn(text, report) class TestLogParser(unittest.TestCase): def test_parse_results_csv(self): """Ignores unknown lines, extracts data from supported formats.""" log = """#,TEST,SAMPLES,MIN(us),MAX(us),MEAN(us),SD(us),MEDIAN(us) 7,Array.append.Array.Int?,20,10,10,10,0,10 21,Bridging.NSArray.as!.Array.NSString,20,11,11,11,0,11 42,Flatten.Array.Tuple4.lazy.for-in.Reserve,20,3,4,4,0,4 Total performance tests executed: 1 """ parser = LogParser() results = parser.parse_results(log.splitlines()) self.assertTrue(isinstance(results[0], PerformanceTestResult)) self.assertEqual(results[0].name, "Array.append.Array.Int?") self.assertEqual(results[1].name, "Bridging.NSArray.as!.Array.NSString") self.assertEqual(results[2].name, "Flatten.Array.Tuple4.lazy.for-in.Reserve") def test_parse_results_tab_delimited(self): log = "34\tBitCount\t20\t3\t4\t4\t0\t4" parser = LogParser() results = parser.parse_results(log.splitlines()) self.assertTrue(isinstance(results[0], PerformanceTestResult)) self.assertEqual(results[0].name, "BitCount") def test_parse_results_formatted_text(self): """Parse format that Benchmark_Driver prints to console""" log = """ # TEST SAMPLES MIN(μs) MAX(μs) MEAN(μs) SD(μs) MEDIAN(μs) MAX_RSS(B) 3 Array2D 20 2060 2188 2099 0 2099 20915200 Total performance tests executed: 1 """ parser = LogParser() results = parser.parse_results(log.splitlines()[1:]) # without 1st \n self.assertTrue(isinstance(results[0], PerformanceTestResult)) r = results[0] self.assertEqual(r.name, "Array2D") self.assertEqual(r.max_rss, 20915200) def test_parse_quantiles(self): """Gathers samples from reported quantiles. Handles optional memory.""" r = LogParser.results_from_string( """#,TEST,SAMPLES,QMIN(μs),MEDIAN(μs),MAX(μs) 1,Ackermann,3,54383,54512,54601""" )["Ackermann"] self.assertEqual(r.samples, [54383, 54512, 54601]) r = LogParser.results_from_string( """#,TEST,SAMPLES,QMIN(μs),MEDIAN(μs),MAX(μs),MAX_RSS(B) 1,Ackermann,3,54529,54760,55807,266240""" )["Ackermann"] self.assertEqual(r.samples, [54529, 54760, 55807]) self.assertEqual(r.max_rss, 266240) def test_parse_delta_quantiles(self): r = LogParser.results_from_string( # 2-quantile aka. median "#,TEST,SAMPLES,QMIN(μs),𝚫MEDIAN,𝚫MAX\n0,B,1,101,," )["B"] self.assertEqual( (r.num_samples, r.min_value, r.median, r.max_value, len(r.samples)), (1, 101, 101, 101, 1), ) r = LogParser.results_from_string( "#,TEST,SAMPLES,QMIN(μs),𝚫MEDIAN,𝚫MAX\n0,B,2,101,,1" )["B"] self.assertEqual( (r.num_samples, r.min_value, r.median, r.max_value, len(r.samples)), (2, 101, 101.5, 102, 2), ) r = LogParser.results_from_string( # 20-quantiles aka. ventiles "#,TEST,SAMPLES,QMIN(μs),𝚫V1,𝚫V2,𝚫V3,𝚫V4,𝚫V5,𝚫V6,𝚫V7,𝚫V8," + "𝚫V9,𝚫VA,𝚫VB,𝚫VC,𝚫VD,𝚫VE,𝚫VF,𝚫VG,𝚫VH,𝚫VI,𝚫VJ,𝚫MAX\n" + "202,DropWhileArray,200,214,,,,,,,,,,,,1,,,,,,2,16,464" )["DropWhileArray"] self.assertEqual( (r.num_samples, r.min_value, r.max_value, len(r.samples)), (200, 214, 697, 0), ) def test_parse_meta(self): r = LogParser.results_from_string( "#,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs)," + "PAGES,ICS,YIELD\n" + "0,B,1,2,2,2,0,2,7,29,15" )["B"] self.assertEqual( (r.min_value, r.mem_pages, r.involuntary_cs, r.yield_count), (2, 7, 29, 15) ) r = LogParser.results_from_string( "#,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs)," + "MAX_RSS(B),PAGES,ICS,YIELD\n" + "0,B,1,3,3,3,0,3,36864,9,50,15" )["B"] self.assertEqual( (r.min_value, r.mem_pages, r.involuntary_cs, r.yield_count, r.max_rss), (3, 9, 50, 15, 36864), ) r = LogParser.results_from_string( "#,TEST,SAMPLES,QMIN(μs),MAX(μs),PAGES,ICS,YIELD\n" + "0,B,1,4,4,8,31,15" )["B"] self.assertEqual( (r.min_value, r.mem_pages, r.involuntary_cs, r.yield_count), (4, 8, 31, 15) ) r = LogParser.results_from_string( "#,TEST,SAMPLES,QMIN(μs),MAX(μs),MAX_RSS(B),PAGES,ICS,YIELD\n" + "0,B,1,5,5,32768,8,28,15" )["B"] self.assertEqual( (r.min_value, r.mem_pages, r.involuntary_cs, r.yield_count, r.max_rss), (5, 8, 28, 15, 32768), ) def test_results_from_merge(self): """Parsing concatenated log merges same PerformanceTestResults""" concatenated_logs = """#,TEST,SAMPLES,MIN,MAX,MEAN,SD,MEDIAN 4,ArrayAppend,20,23641,29000,24990,0,24990 4,ArrayAppend,1,20000,20000,20000,0,20000""" results = LogParser.results_from_string(concatenated_logs) self.assertEqual(list(results.keys()), ["ArrayAppend"]) result = results["ArrayAppend"] self.assertTrue(isinstance(result, PerformanceTestResult)) self.assertEqual(result.min_value, 20000) self.assertEqual(result.max_value, 29000) class TestTestComparator(OldAndNewLog): def test_init(self): def names(tests): return [t.name for t in tests] tc = TestComparator(self.old_results, self.new_results, 0.05) self.assertEqual(names(tc.unchanged), ["AngryPhonebook", "Array2D"]) # self.assertEqual(names(tc.increased), ["ByteSwap", "ArrayAppend"]) self.assertEqual(names(tc.decreased), ["BitCount"]) self.assertEqual(names(tc.added), ["TwoSum"]) self.assertEqual(names(tc.removed), ["AnyHashableWithAClass"]) # other way around tc = TestComparator(self.new_results, self.old_results, 0.05) self.assertEqual(names(tc.unchanged), ["AngryPhonebook", "Array2D"]) self.assertEqual(names(tc.increased), ["BitCount"]) self.assertEqual(names(tc.decreased), ["ByteSwap", "ArrayAppend"]) self.assertEqual(names(tc.added), ["AnyHashableWithAClass"]) self.assertEqual(names(tc.removed), ["TwoSum"]) # delta_threshold determines the sorting into change groups; # report only change above 100% (ByteSwap's runtime went to 0): tc = TestComparator(self.old_results, self.new_results, 1) self.assertEqual( names(tc.unchanged), ["AngryPhonebook", "Array2D", "ArrayAppend", "BitCount"], ) self.assertEqual(names(tc.increased), ["ByteSwap"]) self.assertEqual(tc.decreased, []) class TestReportFormatter(OldAndNewLog): def setUp(self): super(TestReportFormatter, self).setUp() self.tc = TestComparator(self.old_results, self.new_results, 0.05) self.rf = ReportFormatter(self.tc, changes_only=False) self.markdown = self.rf.markdown() self.git = self.rf.git() self.html = self.rf.html() def assert_markdown_contains(self, texts): self.assert_report_contains(texts, self.markdown) def assert_git_contains(self, texts): self.assert_report_contains(texts, self.git) def assert_html_contains(self, texts): self.assert_report_contains(texts, self.html) def test_values(self): self.assertEqual( ReportFormatter.values( PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[10664,12933,11035,10884]}""" ) ), ("AngryPhonebook", "10664", "12933", "11379", "—"), ) self.assertEqual( ReportFormatter.values( PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[12045],"max_rss":10510336}""" ) ), ("AngryPhonebook", "12045", "12045", "12045", "10510336"), ) r1 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[12325],"max_rss":10510336}""" ) r2 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[11616],"max_rss":10510336}""" ) self.assertEqual( ReportFormatter.values(ResultComparison(r1, r2)), ("AngryPhonebook", "12325", "11616", "-5.8%", "1.06x"), ) self.assertEqual( ReportFormatter.values(ResultComparison(r2, r1)), ("AngryPhonebook", "11616", "12325", "+6.1%", "0.94x"), ) r1 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[12325],"max_rss":10510336}""" ) r2 = PerformanceTestResult( """{"number":1,"name":"AngryPhonebook", "samples":[11616,12326],"max_rss":10510336}""" ) self.assertEqual( ReportFormatter.values(ResultComparison(r1, r2))[4], "1.06x (?)", # is_dubious ) def test_justified_columns(self): """Table columns are all formatted with same width, defined by the longest value. """ self.assert_markdown_contains( [ "AnyHashableWithAClass | 247027 | 319065 | 271051 | 10250445", "Array2D | 335831 | 335831 | +0.0% | 1.00x", ] ) self.assert_git_contains( [ "AnyHashableWithAClass 247027 319065 271051 10250445", "Array2D 335831 335831 +0.0% 1.00x", ] ) def test_column_headers(self): """Report contains table headers for ResultComparisons and changed PerformanceTestResults. """ performance_test_result = self.tc.added[0] self.assertEqual( ReportFormatter.header_for(performance_test_result), ("TEST", "MIN", "MAX", "MEAN", "MAX_RSS"), ) comparison_result = self.tc.increased[0] self.assertEqual( ReportFormatter.header_for(comparison_result), ("TEST", "OLD", "NEW", "DELTA", "RATIO"), ) self.assert_markdown_contains( [ "TEST | OLD | NEW | DELTA | RATIO", ":--- | ---: | ---: | ---: | ---: ", "TEST | MIN | MAX | MEAN | MAX_RSS", ] ) self.assert_git_contains( [ "TEST OLD NEW DELTA RATIO", "TEST MIN MAX MEAN MAX_RSS", ] ) self.assert_html_contains( [ """ OLD NEW DELTA RATIO""", """ MIN MAX MEAN MAX_RSS""", ] ) def test_emphasize_speedup(self): """Emphasize speedup values for regressions and improvements""" # tests in No Changes don't have emphasized speedup self.assert_markdown_contains( [ "BitCount | 3 | 9 | +199.9% | **0.33x**", "ByteSwap | 4 | 0 | -100.0% | **4001.00x**", "AngryPhonebook | 10458 | 10458 | +0.0% | 1.00x ", "ArrayAppend | 23641 | 20000 | -15.4% | **1.18x (?)**", ] ) self.assert_git_contains( [ "BitCount 3 9 +199.9% **0.33x**", "ByteSwap 4 0 -100.0% **4001.00x**", "AngryPhonebook 10458 10458 +0.0% 1.00x", "ArrayAppend 23641 20000 -15.4% **1.18x (?)**", ] ) self.assert_html_contains( [ """ BitCount 3 9 +199.9% 0.33x """, """ ByteSwap 4 0 -100.0% 4001.00x """, """ AngryPhonebook 10458 10458 +0.0% 1.00x """, ] ) def test_sections(self): """Report is divided into sections with summaries.""" self.assert_markdown_contains( [ """
Regression (1)""", """
Improvement (2)""", """
No Changes (2)""", """
Added (1)""", """
Removed (1)""", ] ) self.assert_git_contains( [ "Regression (1): \n", "Improvement (2): \n", "No Changes (2): \n", "Added (1): \n", "Removed (1): \n", ] ) self.assert_html_contains( [ "Regression (1)", "Improvement (2)", "No Changes (2)", "Added (1)", "Removed (1)", ] ) def test_report_only_changes(self): """Leave out tests without significant change.""" rf = ReportFormatter(self.tc, changes_only=True) markdown, git, html = rf.markdown(), rf.git(), rf.html() self.assertNotIn("No Changes", markdown) self.assertNotIn("AngryPhonebook", markdown) self.assertNotIn("No Changes", git) self.assertNotIn("AngryPhonebook", git) self.assertNotIn("No Changes", html) self.assertNotIn("AngryPhonebook", html) def test_single_table_report(self): """Single table report has inline headers and no elaborate sections.""" self.tc.removed = [] # test handling empty section rf = ReportFormatter(self.tc, changes_only=True, single_table=True) markdown = rf.markdown() self.assertNotIn("Regression (1)", "TEST | OLD | NEW | DELTA | RATIO", "BitCount | 3 | 9 | +199.9% | **0.33x**", ] git = [ "Regression (1):", "TEST OLD NEW DELTA RATIO", "BitCount 3 9 +199.9% **0.33x**", ] html = ["", "BitCount"] def setUp(self): super(Test_compare_perf_tests_main, self).setUp() self.old_log = self.write_temp_file("old.log", self.old_log_content) self.new_log = self.write_temp_file("new.log", self.new_log_content) def execute_main_with_format(self, report_format, test_output=False): report_file = self.test_dir + "report.log" args = [ "compare_perf_tests.py", "--old-file", self.old_log, "--new-file", self.new_log, "--format", report_format, ] sys.argv = args if not test_output else args + ["--output", report_file] with captured_output() as (out, _): main() report_out = out.getvalue() if test_output: with open(report_file, "r") as f: report = f.read() # because print adds newline, add one here, too: report_file = str(report + "\n") else: report_file = None return report_out, report_file def test_markdown(self): """Writes Markdown formatted report to stdout""" report_out, _ = self.execute_main_with_format("markdown") self.assert_report_contains(self.markdown, report_out) def test_markdown_output(self): """Writes Markdown formatted report to stdout and `--output` file.""" report_out, report_file = self.execute_main_with_format( "markdown", test_output=True ) self.assertEqual(report_out, report_file) self.assert_report_contains(self.markdown, report_file) def test_git(self): """Writes Git formatted report to stdout.""" report_out, _ = self.execute_main_with_format("git") self.assert_report_contains(self.git, report_out) def test_git_output(self): """Writes Git formatted report to stdout and `--output` file.""" report_out, report_file = self.execute_main_with_format("git", test_output=True) self.assertEqual(report_out, report_file) self.assert_report_contains(self.git, report_file) def test_html(self): """Writes HTML formatted report to stdout.""" report_out, _ = self.execute_main_with_format("html") self.assert_report_contains(self.html, report_out) def test_html_output(self): """Writes HTML formatted report to stdout and `--output` file.""" report_out, report_file = self.execute_main_with_format( "html", test_output=True ) self.assertEqual(report_out, report_file) self.assert_report_contains(self.html, report_file) if __name__ == "__main__": unittest.main()