How to use get_exe method in tox

Best Python code snippet using tox_python

test_qmca.py

Source:test_qmca.py

...31            directories[name] = os.path.join(tpath,path)32        #end for33    #end if34#end def get_test_info35def get_exe():36    get_test_info()37    return test_info['exe']38#end def get_exe    39def enter(path_name):40    import os41    assert(path_name in directories)42    path = directories[path_name]43    assert(os.path.exists(path))44    assert('cwd' not in directories)45    directories['cwd'] = os.getcwd()46    assert('cwd' in directories)47    os.chdir(path)48#end def enter49def leave():50    import os51    assert('cwd' in directories)52    cwd = directories.pop('cwd')53    assert(not 'cwd' in directories)54    os.chdir(cwd)55#end def leave56def test_help():57    exe = get_exe()58    help_text = 'Usage: qmca'59    command = sys.executable+' {}'.format(exe)60    out,err,rc = execute(command)61    assert(help_text in out)62    command = sys.executable+' {} -h'.format(exe)63    out,err,rc = execute(command)64    assert(help_text in out)65#end def test_help66def test_examples():67    exe = get_exe()68    example_text = 'QMCA examples'69    command = sys.executable+' {} -x'.format(exe)70    out,err,rc = execute(command)71    assert(example_text in out)72#end def test_examples73def test_unit_conversion():74    exe = get_exe()75    enter('vmc')76    command = sys.executable+' {} -e 5 -q e -u eV --fp=16.8f *scalar*'.format(exe)77    out,err,rc = execute(command)78    out_ref = '''79        vmc  series 0  LocalEnergy  =  -284.62368087 +/- 0.1034480280        '''81    assert(text_eq(out,out_ref))82    leave()83#end def test_unit_conversion84def test_selected_quantities():85    exe = get_exe()86    enter('vmc')87    command = sys.executable+" {} -e 5 -q 'e k p' --fp=16.8f *scalar*".format(exe)88    out,err,rc = execute(command)89    out_ref = '''90        vmc  series 0 91          LocalEnergy           =      -10.45972798 +/-       0.00380164 92          Kinetic               =       11.08225203 +/-       0.02281909 93          LocalPotential        =      -21.54198001 +/-       0.02390850 94        '''95    assert(text_eq(out,out_ref))96    leave()97#end def test_selected_quantities98def test_all_quantities():99    exe = get_exe()100    enter('vmc')101    command = sys.executable+" {} -e 5 --fp=16.8f *scalar*".format(exe)102    out,err,rc = execute(command)103    out_ref = '''104        vmc  series 0 105          LocalEnergy           =      -10.45972798 +/-       0.00380164 106          Variance              =        0.39708591 +/-       0.00971200 107          Kinetic               =       11.08225203 +/-       0.02281909 108          LocalPotential        =      -21.54198001 +/-       0.02390850 109          ElecElec              =       -2.73960796 +/-       0.00627045 110          LocalECP              =       -6.55900348 +/-       0.02845221 111          NonLocalECP           =        0.53229890 +/-       0.00924772 112          IonIon                =      -12.77566747 +/-       0.00000000 113          LocalEnergy_sq        =      109.80363374 +/-       0.07821849 114          MPC                   =       -2.47615080 +/-       0.00644218 115          BlockWeight           =      600.00000000 +/-       0.00000000 116          BlockCPU              =        0.03578981 +/-       0.00022222 117          AcceptRatio           =        0.76940789 +/-       0.00038843 118          Efficiency            =   122102.67468280 +/-       0.00000000 119          TotalTime             =        3.40003187 +/-       0.00000000 120          TotalSamples          =    57000.00000000 +/-       0.00000000 121          -------------------------------------------------------------- 122          CorrectedEnergy       =      -10.19627082 +/-       0.00469500 123        '''124    assert(text_eq(out,out_ref))125    leave()126#end def test_all_quantities127def test_energy_variance():128    exe = get_exe()129    enter('opt')130    command = sys.executable+" {} -e 5 -q ev --fp=16.8f *scalar*".format(exe)131    out,err,rc = execute(command)132    out_ref = '''133              LocalEnergy                 Variance                   ratio 134opt series 0 -10.44922550 +/- 0.00475437  0.60256216 +/- 0.01476264  0.0577 135opt series 1 -10.45426389 +/- 0.00320561  0.40278743 +/- 0.01716415  0.0385 136opt series 2 -10.45991696 +/- 0.00271802  0.39865602 +/- 0.00934316  0.0381 137opt series 3 -10.45830307 +/- 0.00298106  0.38110459 +/- 0.00529809  0.0364 138opt series 4 -10.46298481 +/- 0.00561322  0.38927957 +/- 0.01204068  0.0372 139opt series 5 -10.46086055 +/- 0.00375811  0.39354343 +/- 0.00913372  0.0376 140        '''141    assert(text_eq(out,out_ref))142    leave()143#end def test_energy_variance144def test_multiple_equilibration():145    exe = get_exe()146    enter('dmc')147    command = sys.executable+" {} -e '5 10 15 20' -q ev --fp=16.8f *scalar*".format(exe)148    out,err,rc = execute(command)149    out_ref = '''150              LocalEnergy                 Variance                   ratio 151dmc series 0 -10.48910618 +/- 0.00714379  0.45789123 +/- 0.04510618  0.0437 152dmc series 1 -10.53167630 +/- 0.00163992  0.38531028 +/- 0.00162825  0.0366 153dmc series 2 -10.53061971 +/- 0.00123791  0.38172188 +/- 0.00124608  0.0362 154dmc series 3 -10.52807733 +/- 0.00122687  0.38565052 +/- 0.00196074  0.0366 155        '''156    assert(text_eq(out,out_ref))157    leave()158#end def test_multiple_equilibration159def test_join():160    exe = get_exe()161    enter('dmc')162    command = sys.executable+" {} -e 5 -j '1 3' -q ev --fp=16.8f *scalar*".format(exe)163    out,err,rc = execute(command)164    out_ref = '''165               LocalEnergy                 Variance                   ratio 166dmc  series 0 -10.48910618 +/- 0.00714379  0.45789123 +/- 0.04510618  0.0437 167dmc  series 1 -10.53022752 +/- 0.00073527  0.38410495 +/- 0.00082972  0.0365 168        '''169    assert(text_eq(out,out_ref))170    leave()171#end def test_join172def test_multiple_directories():173    exe = get_exe()174    enter('multi')175    command = sys.executable+" {} -e 5 -q ev --fp=16.8f */*scalar*".format(exe)176    out,err,rc = execute(command)177    out_ref = '''178                  LocalEnergy                 Variance                   ratio 179dmc/dmc series 0 -10.48910618 +/- 0.00714379  0.45789123 +/- 0.04510618  0.0437 180dmc/dmc series 1 -10.53165002 +/- 0.00153762  0.38502189 +/- 0.00158532  0.0366 181dmc/dmc series 2 -10.53018917 +/- 0.00106340  0.38161141 +/- 0.00111391  0.0362 182dmc/dmc series 3 -10.52884336 +/- 0.00135513  0.38568155 +/- 0.00151082  0.0366 183 184opt/opt series 0 -10.44922550 +/- 0.00475437  0.60256216 +/- 0.01476264  0.0577 185opt/opt series 1 -10.45426389 +/- 0.00320561  0.40278743 +/- 0.01716415  0.0385 186opt/opt series 2 -10.45991696 +/- 0.00271802  0.39865602 +/- 0.00934316  0.0381 187opt/opt series 3 -10.45830307 +/- 0.00298106  0.38110459 +/- 0.00529809  0.0364 188opt/opt series 4 -10.46298481 +/- 0.00561322  0.38927957 +/- 0.01204068  0.0372 189opt/opt series 5 -10.46086055 +/- 0.00375811  0.39354343 +/- 0.00913372  0.0376 190vmc/vmc series 0 -10.45972798 +/- 0.00380164  0.39708591 +/- 0.00971200  0.0380191        '''192    assert(text_eq(out,out_ref))193    leave()194#end def test_multiple_directories195def test_twist_average():196    exe = get_exe()197    enter('vmc_twist')198    command = sys.executable+" {} -a -e 5 -q ev --fp=16.8f *scalar*".format(exe)199    out,err,rc = execute(command)200    out_ref = '''201              LocalEnergy                 Variance                   ratio 202avg series 0 -11.34367335 +/- 0.00257603  0.57340688 +/- 0.00442552  0.0505 203        '''204    assert(text_eq(out,out_ref))205    leave()206#end def test_twist_average207def test_weighted_twist_average():208    exe = get_exe()209    enter('vmc_twist')210    command = sys.executable+" {} -a -w '1 3 3 1' -e 5 -q ev --fp=16.8f *scalar*".format(exe)211    out,err,rc = execute(command)212    out_ref = '''213              LocalEnergy                 Variance                   ratio 214avg series 0 -11.44375840 +/- 0.00292164  0.44863011 +/- 0.00502859  0.0392 215        '''216    assert(text_eq(out,out_ref))217    leave()...

test_cli.py

Source:test_cli.py

...25data = {data_path}26eval[test] = {data_path}27'''28    PROJECT_ROOT = tm.PROJECT_ROOT29    def get_exe(self):30        if platform.system() == 'Windows':31            exe = 'xgboost.exe'32        else:33            exe = 'xgboost'34        exe = os.path.join(self.PROJECT_ROOT, exe)35        assert os.path.exists(exe)36        return exe37    def test_cli_model(self):38        data_path = "{root}/demo/data/agaricus.txt.train?format=libsvm".format(39            root=self.PROJECT_ROOT)40        exe = self.get_exe()41        seed = 199442        with tempfile.TemporaryDirectory() as tmpdir:43            model_out_cli = os.path.join(44                tmpdir, 'test_load_cli_model-cli.json')45            model_out_py = os.path.join(46                tmpdir, 'test_cli_model-py.json')47            config_path = os.path.join(48                tmpdir, 'test_load_cli_model.conf')49            train_conf = self.template.format(data_path=data_path,50                                              seed=seed,51                                              task='train',52                                              model_in='NULL',53                                              model_out=model_out_cli,54                                              test_path='NULL',55                                              name_pred='NULL',56                                              model_dir='NULL')57            with open(config_path, 'w') as fd:58                fd.write(train_conf)59            subprocess.run([exe, config_path])60            predict_out = os.path.join(tmpdir,61                                       'test_load_cli_model-prediction')62            predict_conf = self.template.format(task='pred',63                                                seed=seed,64                                                data_path=data_path,65                                                model_in=model_out_cli,66                                                model_out='NULL',67                                                test_path=data_path,68                                                name_pred=predict_out,69                                                model_dir='NULL')70            with open(config_path, 'w') as fd:71                fd.write(predict_conf)72            subprocess.run([exe, config_path])73            cli_predt = numpy.loadtxt(predict_out)74            parameters = {75                'booster': 'gbtree',76                'objective': 'reg:squarederror',77                'eta': 1.0,78                'gamma': 1.0,79                'seed': seed,80                'min_child_weight': 0,81                'max_depth': 382            }83            data = xgboost.DMatrix(data_path)84            booster = xgboost.train(parameters, data, num_boost_round=10)85            # CLI model doesn't contain feature info.86            booster.feature_names = None87            booster.feature_types = None88            booster.save_model(model_out_py)89            py_predt = booster.predict(data)90            numpy.testing.assert_allclose(cli_predt, py_predt)91            cli_model = xgboost.Booster(model_file=model_out_cli)92            cli_predt = cli_model.predict(data)93            numpy.testing.assert_allclose(cli_predt, py_predt)94            with open(model_out_cli, 'rb') as fd:95                cli_model_bin = fd.read()96            with open(model_out_py, 'rb') as fd:97                py_model_bin = fd.read()98            assert hash(cli_model_bin) == hash(py_model_bin)99    def test_cli_help(self):100        exe = self.get_exe()101        completed = subprocess.run([exe], stdout=subprocess.PIPE)102        error_msg = completed.stdout.decode('utf-8')103        ret = completed.returncode104        assert ret == 1105        assert error_msg.find('Usage') != -1106        assert error_msg.find('eval[NAME]') != -1107        completed = subprocess.run([exe, '-V'], stdout=subprocess.PIPE)108        msg = completed.stdout.decode('utf-8')109        assert msg.find('XGBoost') != -1110        v = xgboost.__version__111        if v.find('dev') != -1:112            assert msg.split(':')[1].strip() == v.split('-')[0]113        elif v.find('rc') != -1:114            assert msg.split(':')[1].strip() == v.split('rc')[0]115        else:116            assert msg.split(':')[1].strip() == v117    def test_cli_model_json(self):118        exe = self.get_exe()119        data_path = "{root}/demo/data/agaricus.txt.train?format=libsvm".format(120            root=self.PROJECT_ROOT)121        seed = 1994122        with tempfile.TemporaryDirectory() as tmpdir:123            model_out_cli = os.path.join(124                tmpdir, 'test_load_cli_model-cli.json')125            config_path = os.path.join(tmpdir, 'test_load_cli_model.conf')126            train_conf = self.template.format(data_path=data_path,127                                              seed=seed,128                                              task='train',129                                              model_in='NULL',130                                              model_out=model_out_cli,131                                              test_path='NULL',132                                              name_pred='NULL',133                                              model_dir='NULL')134            with open(config_path, 'w') as fd:135                fd.write(train_conf)136            subprocess.run([exe, config_path])137            with open(model_out_cli, 'r') as fd:138                model = json.load(fd)139            assert model['learner']['gradient_booster']['name'] == 'gbtree'140    def test_cli_save_model(self):141        '''Test save on final round'''142        exe = self.get_exe()143        data_path = "{root}/demo/data/agaricus.txt.train?format=libsvm".format(144            root=self.PROJECT_ROOT)145        seed = 1994146        with tempfile.TemporaryDirectory() as tmpdir:147            model_out_cli = os.path.join(tmpdir, '0010.model')148            config_path = os.path.join(tmpdir, 'test_load_cli_model.conf')149            train_conf = self.template.format(data_path=data_path,150                                              seed=seed,151                                              task='train',152                                              model_in='NULL',153                                              model_out='NULL',154                                              test_path='NULL',155                                              name_pred='NULL',156                                              model_dir=tmpdir)...

run-lava.py

Source:run-lava.py

...24    p.add_argument('app', choices=OPTS.keys())25    return p.parse_args()26def get_app_dir(args):27    return os.path.join(LAVA_M_DIR, args.app)28def get_exe(args, for_afl):29    if for_afl:30        dn = "afl-lava-install"31    else:32        dn = "lava-install"33    app_dir = get_app_dir(args)34    exe = os.path.join(app_dir, "coreutils-8.24-lava-safe", dn, "bin", args.app)35    if not os.path.exists(exe):36        print("[-] Build LAVA-M")37        sys.exit(-1)38    return exe39def run(args):40    app_dir = get_app_dir(args)41    afl_exe = get_exe(args, True)42    exe = get_exe(args, False)43    output_dir = os.path.join(app_dir, "fuzzer_output")44    if os.path.exists(output_dir):45        print("[-] Output directory exists: %s" % output_dir)46        sys.exit(-1)47    input_dir = os.path.join(app_dir, "fuzzer_input")48    procs = []49    os.putenv("AFL_NO_UI", "1")50    # Run AFL master51    cmd = [AFL_FUZZ, "-M", "master",52            "-i", input_dir,53            "-o", output_dir,54            "--", afl_exe] + OPTS[args.app] + ["@@"]55    procs.append(sh(cmd))56    # Run AFL slave57    cmd = [AFL_FUZZ, "-S", "slave",58            "-i", input_dir,59            "-o", output_dir,60            "--", afl_exe] + OPTS[args.app] + ["@@"]61    procs.append(sh(cmd))62    # Run QSYM63    print('[+] Wait until AFL is initialized')64    time.sleep(5)65    cmd = [QSYM, "-a", "slave",66            "-n", "qsym",67            "-o", output_dir,68            "--", exe] + OPTS[args.app] + ["@@"]69    procs.append(sh(cmd))70    print("[+] Wait for 5 hours")71    time.sleep(5 * 60 * 60) # sleep 5 hours72    print("[+] Good... let's kill everything")73    for p in procs:74        p.terminate()75        try:76            p.wait(timeout=5)77        except subprocess.TimeoutExpired:78            p.kill()79            p.wait()80def collect(args):81    app_dir = get_app_dir(args)82    exe = get_exe(args, False)83    crash_dir = os.path.join(app_dir, "fuzzer_output/slave/crashes")84    if not os.path.exists(crash_dir):85        print("[-] Output directory does not exist: %s" % crash_dir)86        print("[-] Run the experiment first")87        sys.exit(-1)88    devnull = open("/dev/null", "wb")89    bugs = set()90    for name in sorted(os.listdir(crash_dir)):91        if not name.startswith("id:"):92            continue93        path = os.path.join(crash_dir, name)94        p = sh([exe] + OPTS[args.app] + [path], stdout=subprocess.PIPE, stderr=devnull)95        try:96            stdout, stderr = p.communicate(timeout=1)...

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