code stringlengths 281 23.7M |
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def project(x, original_x, epsilon, _type='linf'):
if (_type == 'linf'):
max_x = (original_x + epsilon)
min_x = (original_x - epsilon)
x = torch.max(torch.min(x, max_x), min_x)
elif (_type == 'l2'):
dist = (x - original_x)
dist = dist.view(x.shape[0], (- 1))
dist_... |
('/task_operate', methods=['POST'])
def task_operate():
if (not session.get('logged_in')):
return redirect(url_for('login'))
global handle
task_name = str(request.form['name'])
if (request.form['key'] == ''):
try:
g.db.execute(('drop table if exists "%s";' % task_name))
... |
class Effect5619(BaseEffect):
type = 'passive'
def handler(fit, ship, context, projectionRange, **kwargs):
fit.modules.filteredItemBoost((lambda mod: (mod.item.group.name == 'Missile Launcher Rapid Heavy')), 'speed', ship.getModifiedItemAttr('shipBonusCB'), skill='Caldari Battleship', **kwargs) |
class BaseTaskHandle(ABC):
def stop(self) -> None:
pass
def current_jobset(self) -> Optional[BaseJobSet]:
pass
def add_observer(self) -> None:
pass
def is_stopped(self) -> bool:
pass
def get_jobsets(self) -> Sequence[BaseJobSet]:
pass
def create_jobset(sel... |
class DripOAuthTest(OAuth2Test):
backend_path = 'social_core.backends.drip.DripOAuth'
user_data_url = '
expected_username = ''
access_token_body = json.dumps({'access_token': '822bbf7cd12243df', 'token_type': 'bearer', 'scope': 'public'})
user_data_body = json.dumps({'users': [{'email': '', 'name': ... |
class Migration(migrations.Migration):
dependencies = [('adserver', '0058_view_time')]
operations = [migrations.AddField(model_name='historicalpublisher', name='skip_payouts', field=models.BooleanField(default=False, help_text='Enable this to temporarily disable payouts. They will be processed again once you un... |
class TestReconfig(KazooTestCase):
def setUp(self):
KazooTestCase.setUp(self)
if CI_ZK_VERSION:
version = CI_ZK_VERSION
else:
version = self.client.server_version()
if ((not version) or (version < (3, 5))):
pytest.skip('Must use Zookeeper 3.5 or ab... |
def get_active_space_integrals(one_body_integrals, two_body_integrals, occupied_indices=None, active_indices=None):
occupied_indices = ([] if (occupied_indices is None) else occupied_indices)
if (len(active_indices) < 1):
raise ValueError('Some active indices required for reduction.')
core_constant ... |
_sample_fn.register(ptr.BernoulliRV)
_sample_fn.register(ptr.CategoricalRV)
def jax_sample_fn_no_dtype(op):
name = op.name
jax_op = getattr(jax.random, name)
def sample_fn(rng, size, dtype, *parameters):
rng_key = rng['jax_state']
(rng_key, sampling_key) = jax.random.split(rng_key, 2)
... |
def custom_vdom_constructor(func: _CustomVdomDictConstructor) -> VdomDictConstructor:
(func)
def wrapper(*attributes_and_children: Any) -> VdomDict:
(attributes, children) = separate_attributes_and_children(attributes_and_children)
key = attributes.pop('key', None)
(attributes, event_han... |
def generate_df_tasks(c_code, mem_read_limit_per_process, WorldPop_inputfile):
task_list = []
with rasterio.open(WorldPop_inputfile) as src:
(worldpop_y_dim, worldpop_x_dim) = src.shape
transform = src.meta['transform']
(block_y_dim, block_x_dim) = [int(i) for i in src.block_shapes[0]]
... |
def mime_type_codec(mime_type_codec: str) -> Tuple[(str, List[str])]:
pattern = '(\\w+\\/\\w+)\\;\\scodecs=\\"([a-zA-Z-0-9.,\\s]*)\\"'
regex = re.compile(pattern)
results = regex.search(mime_type_codec)
if (not results):
raise RegexMatchError(caller='mime_type_codec', pattern=pattern)
(mime_... |
.end_to_end()
def test_skip_unchanged_w_dependencies_and_products(tmp_path):
source = '\n import pytask\n\n .depends_on("in.txt")\n .produces("out.txt")\n def task_dummy(depends_on, produces):\n produces.write_text(depends_on.read_text())\n '
tmp_path.joinpath('task_module.py').write_text(... |
class TestKeypoints(unittest.TestCase):
def test_cat_keypoints(self):
keypoints1 = Keypoints(torch.rand(2, 21, 3))
keypoints2 = Keypoints(torch.rand(4, 21, 3))
cat_keypoints = keypoints1.cat([keypoints1, keypoints2])
self.assertTrue(torch.all((cat_keypoints.tensor[:2] == keypoints1.t... |
def test_maincli_interactive_all_yes(tmpdir):
runner = CliRunner()
result = runner.invoke(yadage.steering.main, [os.path.join(str(tmpdir), 'workdir'), 'workflow.yml', '-t', 'tests/testspecs/local-helloworld', '-g', 'interactive', '-p', 'par=value'], input='y\ny\ny\ny\ny\ny\n')
assert tmpdir.join('workdir/he... |
class ModbusSocketFramer(ModbusFramer):
method = 'socket'
def __init__(self, decoder, client=None):
super().__init__(decoder, client)
self._hsize = 7
def checkFrame(self):
if self.isFrameReady():
(self._header['tid'], self._header['pid'], self._header['len'], self._header... |
def test_add_with_single_string():
context = Context({'arbset': {1, 2}, 'add': {'set': PyString('arbset'), 'addMe': 'three'}})
add.run_step(context)
context['add']['addMe'] = 'four'
add.run_step(context)
assert (context['arbset'] == {1, 2, 'three', 'four'})
assert (len(context) == 2) |
class TetrixWindow(QWidget):
def __init__(self):
super(TetrixWindow, self).__init__()
self.board = TetrixBoard()
nextPieceLabel = QLabel()
nextPieceLabel.setFrameStyle((QFrame.Box | QFrame.Raised))
nextPieceLabel.setAlignment(Qt.AlignCenter)
self.board.setNextPieceLab... |
def transition(xs, out_channels, name=''):
n_branch_pre = len(xs)
n_branch_cur = len(out_channels)
xs_next = []
for i in range(n_branch_cur):
if (i < n_branch_pre):
x = xs[i]
if (x.shape[(- 1)] != out_channels[i]):
x = Conv2D(out_channels[i], 3, 1, 'same',... |
def GenerateProject(name, force=True):
path = Path(name).resolve()
if os.path.exists(path):
if force:
if os.path.isfile(path):
os.remove(path)
else:
shutil.rmtree(path)
elif os.path.isfile(path):
raise PyUnityException(f'File ex... |
def test_pip_install(temporary_directory: Path, project_source_root: Path, python: str) -> None:
temp_pep_517_backend_path = (temporary_directory / 'pep_517_backend')
shutil.copytree((Path(__file__).parent.parent / 'fixtures/pep_517_backend'), temp_pep_517_backend_path)
with open((temp_pep_517_backend_path ... |
class TarRankSelectAlgo(CompRatioSelectAlgo):
def __init__(self, layer_db: LayerDatabase, pruner: Pruner, cost_calculator: cc.CostCalculator, eval_func: EvalFunction, eval_iterations, cost_metric: CostMetric, num_rank_indices: int, use_cuda: bool, pymo_utils_lib):
CompRatioSelectAlgo.__init__(self, layer_db... |
class Model_inter_pad_without_BN(torch.nn.Module):
def __init__(self):
super(Model_inter_pad_without_BN, self).__init__()
self.except_shape = (2, 3, 32, 32)
self.conv1 = torch.nn.Conv2d(3, 32, kernel_size=2, stride=2, padding=2, bias=False)
self.relu1 = torch.nn.ReLU()
self.c... |
class FastPath():
_cache()
def __new__(cls, root):
return super().__new__(cls)
def __init__(self, root):
self.root = root
def joinpath(self, child):
return pathlib.Path(self.root, child)
def children(self):
with suppress(Exception):
return os.listdir((self... |
def parse_args():
parser = argparse.ArgumentParser(description='Finetune a transformers model on a Masked Language Modeling task')
parser.add_argument('--dataset_name', type=str, default=None, help='The name of the dataset to use (via the datasets library).')
parser.add_argument('--dataset_config_name', typ... |
def test_run_installs_with_local_poetry_file_transitive(installer: Installer, locker: Locker, repo: Repository, package: ProjectPackage, tmpdir: str, fixture_dir: FixtureDirGetter) -> None:
root_dir = fixture_dir('directory')
package.root_dir = root_dir
locker.set_lock_path(root_dir)
directory = fixture... |
_content
class WaveformPromise(Object):
codes = CodesNSLCE.T()
tmin = Timestamp.T()
tmax = Timestamp.T()
deltat = Float.T(optional=True)
source_hash = String.T()
def __init__(self, **kwargs):
kwargs['codes'] = CodesNSLCE(kwargs['codes'])
Object.__init__(self, **kwargs)
def ti... |
def print_help() -> None:
help_string = '\n UltraSinger.py [opt] [mode] [transcription] [pitcher] [extra]\n \n [opt]\n -h This help text.\n -i Ultrastar.txt\n audio like .mp3, .wav, youtube link\n -o Output folder\n \n [mode]\n ## INPUT is audio ##\n default ... |
def test_hookwrapper() -> None:
out = []
(hookwrapper=True)
def m1():
out.append('m1 init')
(yield None)
out.append('m1 finish')
def m2():
out.append('m2')
return 2
res = MC([m2, m1], {})
assert (res == [2])
assert (out == ['m1 init', 'm2', 'm1 finish'... |
class VideoTestDUFDataset(VideoTestDataset):
def __getitem__(self, index):
folder = self.data_info['folder'][index]
(idx, max_idx) = self.data_info['idx'][index].split('/')
(idx, max_idx) = (int(idx), int(max_idx))
border = self.data_info['border'][index]
lq_path = self.data_... |
class PollViewTests(TestCase):
def test_index_view_with_no_polls(self):
response = self.client.get(reverse('polls:index'))
self.assertEqual(response.status_code, 200)
self.assertContains(response, 'No polls are available.')
self.assertQuerysetEqual(response.context['latest_poll_list'... |
class AsmCmdGotoRelation(AsmCmdBase):
_id = 16
_menuText = QT_TRANSLATE_NOOP('asm3', 'Go to relation')
_tooltip = QT_TRANSLATE_NOOP('asm3', 'Select the corresponding part object in the relation group')
_iconName = 'Assembly_GotoRelation.svg'
_accel = 'A, R'
_toolbarName = ''
_cmdType = 'NoTr... |
def test_run_with_custom_runner():
pipeline = dedent(' steps:\n - name: pypyr.steps.set\n in:\n set:\n test: 1\n ')
context = pipelinerunner.run(pipeline_name=pipeline, loader='pypyr.loaders.string')
assert (context['test'] == 1) |
def convert_roberta_checkpoint_to_pytorch(roberta_checkpoint_path: str, pytorch_dump_folder_path: str, classification_head: bool):
roberta = FairseqRobertaModel.from_pretrained(roberta_checkpoint_path)
roberta.eval()
roberta_sent_encoder = roberta.model.encoder.sentence_encoder
config = RobertaConfig(vo... |
def _create_args_parser(cmpnt_fn: Callable[(..., AppDef)], cmpnt_defaults: Optional[Dict[(str, str)]]=None) -> argparse.ArgumentParser:
parameters = inspect.signature(cmpnt_fn).parameters
(function_desc, args_desc) = get_fn_docstring(cmpnt_fn)
script_parser = argparse.ArgumentParser(prog=f'torchx run <run a... |
class SaveDataAction(Action):
mandatoryparams = ['attribute', 'value']
optionalparams = ['display', 'pspid', 'config']
def __init__(self, params, **kwargs):
Action.__init__(self, execparams=params, **kwargs)
def Execute(self):
Action.Execute(self)
attrib = self.execparams['attrib... |
class StrideWrapper(Dataset):
def __init__(self, dataset, stride):
self.dataset = dataset
self.index2old_index = [(idx * stride) for idx in range((len(self.dataset) // stride))]
def __getitem__(self, index):
old_index = self.index2old_index[index]
return self.dataset[old_index]
... |
class FileTransferSpeed(ProgressBarWidget):
def __init__(self):
self.fmt = '%6.2f %s'
self.units = ['B', 'K', 'M', 'G', 'T', 'P']
def update(self, pbar):
if (pbar.seconds_elapsed < 2e-06):
bps = 0.0
else:
bps = (float(pbar.currval) / pbar.seconds_elapsed)
... |
class ModelParallelSparseOnlyBase(unittest.TestCase):
def tearDown(self) -> None:
dist.destroy_process_group()
def test_sharding_ebc_as_top_level(self) -> None:
os.environ['RANK'] = '0'
os.environ['WORLD_SIZE'] = '1'
os.environ['LOCAL_WORLD_SIZE'] = '1'
os.environ['MASTER... |
def main():
args = get_parser().parse_args()
errs = 0
count = 0
with open(args.hypo, 'r') as hf, open(args.reference, 'r') as rf:
for (h, r) in zip(hf, rf):
h = h.rstrip().split()
r = r.rstrip().split()
errs += editdistance.eval(r, h)
count += len(... |
def test_run_job():
js = None
cfg = config()
try:
js = rs.job.Service(cfg.job_service_url, cfg.session)
j = js.run_job('/bin/sleep 10')
assert j.id
except rs.NotImplemented as ni:
assert cfg.notimpl_warn_only, ('%s ' % ni)
if cfg.notimpl_warn_only:
pri... |
class Translation(CGAThing):
def __init__(self, cga, *args) -> None:
super().__init__(cga)
if (len(args) == 0):
mv = (1 - ((self.cga.base_vector() * self.cga.einf) / 2.0))
elif (len(args) == 1):
arg = args[0]
if isinstance(arg, MultiVector):
... |
def warning():
def _warnformat(msg, category, filename, lineno, file=None, line=None):
return ('%s:%s: %s: %s\n' % (filename, lineno, category.__name__, msg))
default_warn_format = warnings.formatwarning
try:
warnings.formatwarning = _warnformat
warnings.filterwarnings('always')
... |
class VendingMachine(VendingMachineStateMixin):
def __init__(self):
self.initialize_state(Idle)
self._pressed = None
self._alpha_pressed = None
self._digit_pressed = None
def press_button(self, button):
if (button in 'ABCD'):
self._pressed = button
... |
def custom_pdb_calls() -> List[str]:
called = []
class _CustomPdb():
quitting = False
def __init__(self, *args, **kwargs):
called.append('init')
def reset(self):
called.append('reset')
def interaction(self, *args):
called.append('interaction')
... |
def test_nd_scan_sit_sot_with_carry():
x0 = pt.vector('x0', shape=(3,))
A = pt.matrix('A', shape=(3, 3))
def step(x, A):
return ((A x), x.sum())
(xs, _) = scan(step, outputs_info=[x0, None], non_sequences=[A], n_steps=10, mode=get_mode('JAX'))
fg = FunctionGraph([x0, A], xs)
x0_val = np... |
def test_insert_with_custom_columns():
sql = 'INSERT INTO tgt_tbl(random1, random2) (SELECT col1,col2 FROM src_tbl)'
assert_column_lineage_equal(sql, [(ColumnQualifierTuple('col1', 'src_tbl'), ColumnQualifierTuple('random1', 'tgt_tbl')), (ColumnQualifierTuple('col2', 'src_tbl'), ColumnQualifierTuple('random2', ... |
def ValidateImageSize(arg, argName, argInformed, errors):
errorMsg = ('argument %s: required argument if %s is relative' % (argName, argInformed))
ret = None
if (arg is None):
errors.append(errorMsg)
else:
arg = arg.replace('(', '').replace(')', '')
args = arg.split(',')
... |
class MatchFirst(ParseExpression):
def __init__(self, exprs: typing.Iterable[ParserElement], savelist: bool=False):
super().__init__(exprs, savelist)
if self.exprs:
self.mayReturnEmpty = any((e.mayReturnEmpty for e in self.exprs))
self.skipWhitespace = all((e.skipWhitespace f... |
def se_resnet101(num_classes, loss, pretrained='imagenet', **kwargs):
model = SENet(num_classes=num_classes, loss=loss, block=SEResNetBottleneck, layers=[3, 4, 23, 3], groups=1, reduction=16, dropout_p=None, inplanes=64, input_3x3=False, downsample_kernel_size=1, downsample_padding=0, last_stride=2, fc_dims=None, *... |
.skipif((sys.platform == 'win32'), reason='Windows raises `OSError: [Errno 22] Invalid argument` instead')
def test_no_brokenpipeerror_message(pytester: Pytester) -> None:
popen = pytester.popen((*pytester._getpytestargs(), '--help'))
popen.stdout.close()
ret = popen.wait()
assert (popen.stderr.read() =... |
def create_pod(body, namespace, timeout=120):
try:
pod_stat = None
pod_stat = cli.create_namespaced_pod(body=body, namespace=namespace)
end_time = (time.time() + timeout)
while True:
pod_stat = cli.read_namespaced_pod(name=body['metadata']['name'], namespace=namespace)
... |
.parametrize('input,constraint', [('*', AnyConstraint()), ('win32', Constraint('win32', '=')), ('=win32', Constraint('win32', '=')), ('==win32', Constraint('win32', '=')), ('!=win32', Constraint('win32', '!=')), ('!= win32', Constraint('win32', '!='))])
def test_parse_constraint(input: str, constraint: (AnyConstraint |... |
def upgrade(op, tables, tester):
inspector = Inspector.from_engine(op.get_bind())
table_names = inspector.get_table_names()
if ('uploadedblob' not in table_names):
op.create_table('uploadedblob', sa.Column('id', sa.BigInteger(), nullable=False), sa.Column('repository_id', sa.Integer(), nullable=Fals... |
.skip
_db
def test_unsubscribe_not_registered_mail_to_newsletter(graphql_client):
email = ''
variables = {'email': email}
query = '\n mutation($email: String!) {\n unsubscribeToNewsletter(input: {\n email: $email\n }) {\n __typename\... |
def test_jax_compile_ops():
x = DeepCopyOp()(pt.as_tensor_variable(1.1))
x_fg = FunctionGraph([], [x])
compare_jax_and_py(x_fg, [])
x_np = np.zeros((20, 1, 1))
x = Unbroadcast(0, 2)(pt.as_tensor_variable(x_np))
x_fg = FunctionGraph([], [x])
compare_jax_and_py(x_fg, [])
x = ViewOp()(pt.as... |
def to_bool(val: ((bool | int) | str)) -> bool:
if isinstance(val, bool):
return val
if (isinstance(val, int) or (isinstance(val, str) and val.isdigit())):
return bool(int(val))
if isinstance(val, str):
if (val.lower() == 'true'):
return True
return False |
class DistributedLossWrapper(torch.nn.Module):
def __init__(self, loss, **kwargs):
super().__init__()
has_parameters = (len([p for p in loss.parameters()]) > 0)
self.loss = (DDP(loss, **kwargs) if has_parameters else loss)
def forward(self, embeddings, labels, *args, **kwargs):
(... |
class StringValue(Value):
def __init__(self, name, initial, **kwargs):
super(StringValue, self).__init__(name, initial, **kwargs)
def get_msg(self):
if (type(self.value) == type(False)):
strvalue = ('true' if self.value else 'false')
else:
strvalue = (('"' + self.... |
class MvpTokenizer(PreTrainedTokenizer):
vocab_files_names = VOCAB_FILES_NAMES
pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
model_input_names = ['input_ids', 'attention_mask']
def __init__(self, vocab_file, merges_file, errors... |
def compute_valid_depth_mask(d1, d2=None, min_thred=0.3, max_thred=5.0):
if (d2 is None):
valid_mask = (((d1 < max_thred) & (d1 > min_thred)) & np.isfinite(d1))
else:
valid_mask = ((d1 < max_thred) & (d2 < max_thred))
valid_mask[valid_mask] = ((d1[valid_mask] > min_thred) & (d2[valid_mas... |
class QlWindowsThread(QlThread):
ID = 0
def __init__(self, ql: Qiling, status: THREAD_STATUS=THREAD_STATUS.RUNNING):
super().__init__(ql)
self.ql = ql
self.id = QlWindowsThread.ID
QlWindowsThread.ID += 1
self.status = status
self.waitforthreads = []
self.t... |
class NoisyNetDQN():
def __init__(self, env, config):
self.sess = tf.InteractiveSession()
self.config = config
self.replay_buffer = deque(maxlen=self.config.replay_buffer_size)
self.time_step = 0
self.state_dim = env.observation_space.shape
self.action_dim = env.actio... |
class WebRequestHandler(BaseHTTPRequestHandler):
def _set_headers(self):
self.send_response(200)
self.send_header('Content-type', 'application/json')
self.end_headers()
def do_GET(self):
try:
logger.debug('Got GET request')
self._set_headers()
... |
def check_channel(app1: RaidenService, app2: RaidenService, token_network_address: TokenNetworkAddress, settle_timeout: BlockTimeout, deposit_amount: TokenAmount) -> None:
channel_state1 = get_channelstate_by_token_network_and_partner(chain_state=state_from_raiden(app1), token_network_address=token_network_address,... |
class WindowEventsTestCase(InteractiveTestCase):
window_size = (400, 200)
window = None
question = None
def setUp(self):
self.finished = False
self.failure = None
self.label = None
def fail_test(self, failure):
self.failure = failure
self.finished = True
d... |
class TPanedPreferences(TestCase):
def setUp(self):
config.init()
def tearDown(self):
config.quit()
def test_editor(self):
x = PatternEditor()
x.headers = x.headers
x.destroy()
x.destroy()
def test_button(self):
PreferencesButton(None).destroy()
... |
def business_hours_back(end, delta):
delta = datetime.timedelta(seconds=(delta.total_seconds() / 3))
estimate = delta
start = (end - estimate)
while (business_hours(start, end) < delta):
estimate = datetime.timedelta(seconds=(estimate.total_seconds() * 2))
start = (end - estimate)
se... |
def replace_modules_of_type1_using_constructor(model, type1, constructor):
for (module_name, module_ref) in model.named_children():
if isinstance(module_ref, type1):
setattr(model, module_name, constructor(module_ref))
children_module_list = list(module_ref.modules())
if (len(chi... |
def test_annotation_fail_runpath(testdir):
testdir.makepyfile("\n import pytest\n pytest_plugins = 'pytest_github_actions_annotate_failures'\n\n def test_fail():\n assert 0\n ")
testdir.monkeypatch.setenv('GITHUB_ACTIONS', 'true')
testdir.monkeypatch.setenv('PYTEST_RUN... |
def test_transform_pipeline_radians():
trans = Transformer.from_pipeline('+proj=pipeline +step +inv +proj=cart +ellps=WGS84 +step +proj=unitconvert +xy_in=rad +xy_out=deg')
assert_almost_equal(trans.transform((- 2704026.01), (- 4253051.81), 3895878.82, radians=True), ((- 2.), 0., (- 20.)))
assert_almost_equ... |
def find_app_name(config_to_check: Optional[AppConfig], app_list: List[Dict[(str, Any)]]) -> str:
if (not config_to_check):
return NO_APP_RUNNING
for app_def in app_list:
if isinstance(app_def['config'], list):
for config in app_def['config']:
if ((config['APP_ID'] ==... |
def select_algorithm():
global flag
s = v.get()
if (s == 'HANP-Miner'):
flag = 1
v2.set(2500)
v3.set(0)
v4.set(3)
print(('Function: ' + s))
elif (s == 'HANP-df'):
flag = 2
v2.set(2500)
v3.set(0)
v4.set(3)
print(('Function: '... |
def test_ScanArgs_remove_nonseq_inner_input():
hmm_model_env = create_test_hmm()
scan_args = hmm_model_env['scan_args']
hmm_model_env['scan_op']
hmm_model_env['Y_t']
hmm_model_env['Y_rv']
mus_in = hmm_model_env['mus_in']
mus_t = hmm_model_env['mus_t']
sigmas_in = hmm_model_env['sigmas_in... |
class SpecField(SemVerField):
default_error_messages = {'invalid': _('Enter a valid version number spec list in ==X.Y.Z,>=A.B.C format.')}
description = _('Version specification list')
def __init__(self, *args, **kwargs):
self.syntax = kwargs.pop('syntax', base.DEFAULT_SYNTAX)
super(SpecFiel... |
def list_triggers(name, location='\\'):
pythoncom.CoInitialize()
task_service = win32com.client.Dispatch('Schedule.Service')
task_service.Connect()
task_folder = task_service.GetFolder(location)
task_definition = task_folder.GetTask(name).Definition
triggers = task_definition.Triggers
ret = ... |
class DiskCOW(COW):
def __init__(self, addr, imagefd, logger, seek_lock):
self.addr = addr
self.imagefd = imagefd
self.seek_lock = seek_lock
self.logger = helpers.get_child_logger(logger, 'FS')
self.logger.info('Copy-On-Write for {addr} in PyPXE_NBD_COW_{addr[0]}_{addr[1]}'.f... |
def process_prom_query(query):
if prom_cli:
try:
return prom_cli.custom_query(query=query, params=None)
except Exception as e:
logging.error(('Failed to get the metrics: %s' % e))
else:
logging.info("Skipping the prometheus query as the prometheus client couldn't ... |
def _get_base_template(name, description, platform, sorting, domain, layer_settings):
layer = dict()
layer['name'] = name
layer['versions'] = {'navigator': ATTACK_NAVIGATOR_VERSION, 'layer': ATTACK_LAYER_VERSION}
if (('includeAttackVersion' in layer_settings.keys()) and (layer_settings['includeAttackVer... |
()
('-test-dep', is_flag=True, help='If to install test dependecies')
('-doc-dep', is_flag=True, help='If to install test dependecies')
def install_dependencies(test_dep=False, doc_dep=False):
config = util.get_config()
default_dependencies = config['project']['dependencies']
print('Installing dependencies'... |
class PerturbationConfidenceMetric():
def __init__(self, perturbation):
self.perturbation = perturbation
def __call__(self, input_tensor: torch.Tensor, cams: np.ndarray, targets: List[Callable], model: torch.nn.Module, return_visualization=False, return_diff=True):
if return_diff:
wi... |
def __getdirlist(path, cache_tag, maxage, mask):
try:
result = ops.files.dirs.get_dirlisting(path, cache_tag=cache_tag, maxage=maxage, mask=mask)
except OpsCommandException:
psplog.debug(('Dir list failed (%s).' % path), exc_info=True)
result = None
except:
psplog.debug(('Une... |
class SepConvGRU(nn.Module):
def __init__(self, hidden_dim=128, input_dim=(192 + 128)):
super(SepConvGRU, self).__init__()
self.convz1 = nn.Conv2d((hidden_dim + input_dim), hidden_dim, (1, 5), padding=(0, 2))
self.convr1 = nn.Conv2d((hidden_dim + input_dim), hidden_dim, (1, 5), padding=(0, 2... |
def forwards(apps, schema_editor):
Flight = apps.get_model('adserver', 'Flight')
for flight in Flight.objects.all().annotate(flight_total_clicks=models.Sum(models.F('advertisements__impressions__clicks')), flight_total_views=models.Sum(models.F('advertisements__impressions__views'))):
flight.total_click... |
def render_pep440_old(pieces: Dict[(str, Any)]) -> str:
if pieces['closest-tag']:
rendered = pieces['closest-tag']
if (pieces['distance'] or pieces['dirty']):
rendered += ('.post%d' % pieces['distance'])
if pieces['dirty']:
rendered += '.dev0'
else:
... |
def main():
args = parse_args()
if args.distributed:
torch.cuda.set_device(args.local_rank)
dist.init_process_group(backend='nccl', init_method='env://')
assert dist.is_initialized(), 'distributed is not initialized'
if (dist.get_rank() == 0):
make_folder(cfg.model_dir)
... |
def conv_init(m):
classname = m.__class__.__name__
if (classname.find('Conv') != (- 1)):
init.xavier_uniform(m.weight, gain=np.sqrt(2))
init.constant(m.bias, 0)
elif (classname.find('BatchNorm') != (- 1)):
init.constant(m.weight, 1)
init.constant(m.bias, 0) |
def check_new_shows(config, db, update_db=True):
info('Checking for new shows')
for raw_show in _get_new_season_shows(config, db):
if ((raw_show.show_type is not ShowType.UNKNOWN) and (raw_show.show_type not in config.new_show_types)):
debug(" Show isn't an allowed type ({})".format(raw_sho... |
class WireMessage(Message):
def __init__(self, typ_data):
self.type = message_types[typ_data[0][0]]
self.data = typ_data[1]
def serialize(self):
return self[1]
def parse(typ, data):
if (ulong_unpack(data[1:5]) != (len(data) - 1)):
raise ValueError(('invalid wire m... |
def run(command):
p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
(output, err) = p.communicate()
rc = p.returncode
enc = locale.getpreferredencoding()
output = output.decode(enc)
err = err.decode(enc)
return (rc, output.strip(), err.strip()) |
_ignore_inferred
def infer_parameter_objects(pyfunction):
object_info = pyfunction.pycore.object_info
result = object_info.get_parameter_objects(pyfunction)
if (result is None):
result = _parameter_objects(pyfunction)
_handle_first_parameter(pyfunction, result)
return result |
def floquet_master_equation_rates(f_modes_0, f_energies, c_op, H, T, args, J_cb, w_th, kmax=5, f_modes_table_t=None):
warnings.warn(FutureWarning('`floquet_master_equation_rates` is deprecated.'))
floquet_basis = FloquetBasis(H, T, args=args)
energy = floquet_basis.e_quasi
delta = floquet_delta_tensor(e... |
def fit_to_rect(frame, size, halign='center', valign='center'):
(fl, ft, fw, fh) = to_rect(frame)
(rw, rh) = (size.width(), size.height())
ft += 1
fh -= 1
fl += 1
fw -= 1
fa = (fh / fw)
ra = (rh / rw)
if (fa <= ra):
rh = fh
rw = (rh / ra)
if (halign == 'left')... |
class ChannelShuffle2(nn.Module):
def __init__(self, channels, groups):
super(ChannelShuffle2, self).__init__()
if ((channels % groups) != 0):
raise ValueError('channels must be divisible by groups')
self.groups = groups
def forward(self, x):
return channel_shuffle2(x... |
def make_valid_xml_name(key, attr):
LOG.info(('Inside make_valid_xml_name(). Testing key "%s" with attr "%s"' % (unicode_me(key), unicode_me(attr))))
key = escape_xml(key)
attr = escape_xml(attr)
if key_is_valid_xml(key):
return (key, attr)
if str(key).isdigit():
return (('n%s' % key... |
_safe
def impersonate_vector_reference_cont(f, extra, inner, idx, app, env, cont, _vals):
numargs = _vals.num_values()
args = ([None] * (numargs + 2))
args[0] = inner
args[1] = idx
for i in range(numargs):
args[(i + 2)] = _vals.get_value(i)
if (extra is None):
return f.call_with_... |
def show_banner():
colors = ['bright_red', 'bright_green', 'bright_blue', 'cyan', 'magenta']
try:
click.style('color test', fg='bright_red')
except:
colors = ['red', 'green', 'blue', 'cyan', 'magenta']
try:
columns = get_terminal_size().columns
if (columns >= len(banner.s... |
def test_request_scope_covers_blueprint_teardown_request_handlers():
app = Flask(__name__)
UserID = NewType('UserID', int)
blueprint = Blueprint('blueprint', __name__)
('/')
def index():
return 'hello'
_request
def on_teardown(exc, user_id: UserID):
assert (user_id == 321)
... |
def intraday_volatility(returns: ReturnsSeries, interval_in_minutes: int) -> float:
unannualized_volatility = std(returns.values)
minutes_in_trading_day = 390
intervals_in_day = (minutes_in_trading_day / interval_in_minutes)
business_days_per_year = 252
return (unannualized_volatility * sqrt((interv... |
def test_structuring_unstructuring_unknown_subclass():
class A():
a: int
class A1(A):
a1: int
converter = Converter()
include_subclasses(A, converter)
class A2(A1):
a2: int
assert (converter.unstructure(A2(1, 2, 3), unstructure_as=A) == {'a': 1, 'a1': 2, 'a2': 3})
ass... |
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