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How to use prepare_benchmarks method in pytest-benchmark
Best Python code snippet using pytest-benchmark
session.py
Source:session.py 
...84 config=self.config,85 machine_info=obj86 )87 return obj88 def prepare_benchmarks(self):89 for bench in self.benchmarks:90 if bench:91 compared = False92 for path, compared_mapping in self.compared_mapping.items():93 if bench.fullname in compared_mapping:94 compared = compared_mapping[bench.fullname]95 source = short_filename(path, self.machine_id)96 flat_bench = bench.as_dict(include_data=False, stats=False, cprofile=self.cprofile_sort_by)97 flat_bench.update(compared["stats"])98 flat_bench["path"] = str(path)99 flat_bench["source"] = source100 if self.compare_fail:101 for check in self.compare_fail:102 fail = check.fails(bench, flat_bench)103 if fail:104 self.performance_regressions.append((self.name_format(flat_bench), fail))105 yield flat_bench106 flat_bench = bench.as_dict(include_data=False, flat=True, cprofile=self.cprofile_sort_by)107 flat_bench["path"] = None108 flat_bench["source"] = compared and "NOW"109 yield flat_bench110 def save_json(self, output_json):111 with self.json as fh:112 fh.write(safe_dumps(output_json, ensure_ascii=True, indent=4).encode())113 self.logger.info("Wrote benchmark data in: %s" % self.json, purple=True)114 def handle_saving(self):115 save = self.save or self.autosave116 if save or self.json:117 if not self.benchmarks:118 self.logger.warn("Not saving anything, no benchmarks have been run!")119 return120 machine_info = self.get_machine_info()121 commit_info = self.config.hook.pytest_benchmark_generate_commit_info(config=self.config)122 self.config.hook.pytest_benchmark_update_commit_info(config=self.config, commit_info=commit_info)123 if self.json:124 output_json = self.config.hook.pytest_benchmark_generate_json(125 config=self.config,126 benchmarks=self.benchmarks,127 include_data=True,128 machine_info=machine_info,129 commit_info=commit_info,130 )131 self.config.hook.pytest_benchmark_update_json(132 config=self.config,133 benchmarks=self.benchmarks,134 output_json=output_json,135 )136 self.save_json(output_json)137 if save:138 output_json = self.config.hook.pytest_benchmark_generate_json(139 config=self.config,140 benchmarks=self.benchmarks,141 include_data=self.save_data,142 machine_info=machine_info,143 commit_info=commit_info,144 )145 self.config.hook.pytest_benchmark_update_json(146 config=self.config,147 benchmarks=self.benchmarks,148 output_json=output_json,149 )150 self.storage.save(output_json, save)151 def handle_loading(self):152 compared_mapping = {}153 if self.compare:154 if self.compare is True:155 compared_benchmarks = list(self.storage.load())[-1:]156 else:157 compared_benchmarks = list(self.storage.load(self.compare))158 if not compared_benchmarks:159 msg = "Can't compare. No benchmark files in %r" % str(self.storage)160 if self.compare is True:161 msg += ". Can't load the previous benchmark."162 else:163 msg += " match %r." % self.compare164 self.logger.warn(msg)165 machine_info = self.get_machine_info()166 for path, compared_benchmark in compared_benchmarks:167 self.config.hook.pytest_benchmark_compare_machine_info(168 config=self.config,169 benchmarksession=self,170 machine_info=machine_info,171 compared_benchmark=compared_benchmark,172 )173 compared_mapping[path] = dict(174 (bench['fullname'], bench) for bench in compared_benchmark['benchmarks']175 )176 self.logger.info("Comparing against benchmarks from: %s" % path, newline=False)177 self.compared_mapping = compared_mapping178 def finish(self):179 self.handle_saving()180 prepared_benchmarks = list(self.prepare_benchmarks())181 if prepared_benchmarks:182 self.groups = self.config.hook.pytest_benchmark_group_stats(183 config=self.config,184 benchmarks=prepared_benchmarks,185 group_by=self.group_by186 )187 def display(self, tr):188 if not self.groups:189 return190 tr.ensure_newline()191 results_table = TableResults(192 columns=self.columns,193 sort=self.sort,194 histogram=self.histogram,...
PerfTest_c-compiler.py
Source:PerfTest_c-compiler.py
...26 27 compile_time_in_sec = float(m)*60 + float(s)28 29 return compile_time_in_sec30def prepare_benchmarks(root):31 items = os.listdir(root)32 for item in items:33 path = os.path.join(root, item)34 if os.path.isdir(path):35 prepare_benchmarks(path)36 elif os.path.splitext('%s'%path)[1] in extensions:37 Glob.benchmarks.append(path)38def parse_args():39 # Error handling40 if not len(sys.argv) == 4:41 42 print('Argument Error. '43 'Usage:\n\tpython %s <c_compiler_name> <benchmark_dir> <repeats>'44 '\t\t<c_compiler_name> Only Support gcc, g++, clang or clang++'45 '\t\t<benchmark_dir> The root directory of benchmark files.'46 '\t\t<repeats> How many times do you want to run repeatedly for a case.'47 %(sys.argv[0]))48 exit(1)49 50 elif sys.argv[1] not in {'gcc', 'g++', 'clang', 'clang++'}:51 52 print('Argument 1 Error. Only gcc, g++, clang, clang++ is supported.')53 exit(1)54 elif not os.path.exists(sys.argv[2]) or os.path.isfile(sys.argv[2]):55 print('Argument 2 Error. Please give a valid directory.')56 exit(1)57 58 # write user parameters59 Glob.c_compiler = sys.argv[1]60 Glob.benchmark_dir = sys.argv[2]61 Glob.REPEATS = int(sys.argv[3])62def main():63 parse_args()64 prepare_benchmarks(Glob.benchmark_dir)65 # the error log. When compilation fails, write messages to it.66 logfile = open('log.err', 'w')67 # statistic68 suc = 069 fail = 070 total = len(options) * len(Glob.benchmarks)71 cur = 072 # start performance testing.73 for j in range(0, len(Glob.benchmarks)):74 result_file = open('[Result]%s.txt'%Glob.benchmarks[j].split('/')[-1].split('.')[0], 'w')75 for i in range(0, len(options)):76 cur += 177 78 compile_times = []...
data.py
Source:data.py
...44 with io.open(filename, 'rU') as fh:45 trialmap[trial_name] = json.load(fh)46 yield mode, trialmap47@gen_dict # {'mode': [{'test': min}...]}48def prepare_benchmarks(raw_benchmarks, trial_names):49 for mode, trialmap in raw_benchmarks.items():50 envlist = []51 for trial_name in trial_names:52 trial = trialmap.get(trial_name, {}).get('benchmarks', [])53 benchenv = dict((bench['fullname'], bench['stats'].get('min'))54 for bench in trial)55 envlist.append(benchenv)56 yield mode, envlist57def load_benchmarks(bench_storage, modes):58 trial_names, benchmark_files, _ = ls_bench_storage(bench_storage, modes)59 return load_benchmarks_from_files(benchmark_files, trial_names)60def load_benchmarks_from_files(benchmark_files, trial_names):61 raw_benchmarks = load_raw_benchmarks(benchmark_files)62 benchmarks = prepare_benchmarks(raw_benchmarks, trial_names)...
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