code stringlengths 281 23.7M |
|---|
def test_solver_does_not_raise_conflict_for_locked_conditional_dependencies(solver: Solver, repo: Repository, package: ProjectPackage) -> None:
set_package_python_versions(solver.provider, '~2.7 || ^3.4')
dependency_a = Factory.create_dependency('A', {'version': '^1.0', 'python': '^3.6'})
package.add_depend... |
class XPath():
def __init__(self, *xpaths):
self.xpaths = xpaths
def __str__(self):
return self.xpath
def __repr__(self):
return ("%s('%s')" % (self.__class__.__name__, str(self)))
def __getitem__(self, n):
return self.__class__(*[('%s[%s]' % (xpath, n)) for xpath in self... |
def get_cover_and_lastbit0image(reshaped_image):
cover_temp = np.zeros(reshaped_image.shape[0]).astype('int8')
for i in range(reshaped_image.shape[0]):
last_bit = int(bin(reshaped_image[i])[2:].zfill(8)[(- 1)])
cover_temp[i] = last_bit
lastbit0image = (reshaped_image - cover_temp)
return... |
.parametrize('auth, pj_type, deprecated', [(None, None, False), ('EPSG', PJType.PROJECTED_CRS, False), ('EPSG', PJType.PROJECTED_CRS, True), ('IGNF', [PJType.GEOGRAPHIC_3D_CRS, PJType.GEOGRAPHIC_2D_CRS], False), ('EPSG', 'PROJECTED_CRS', False), ('EPSG', 'Projected_Crs', True)])
def test_query_crs_info(auth, pj_type, d... |
.parametrize(['method', 'order'], [pytest.param('euler', 0.5, id='Euler'), pytest.param('milstein', 1.0, id='Milstein'), pytest.param('milstein_imp', 1.0, id='Milstein implicit'), pytest.param('platen', 1.0, id='Platen'), pytest.param('pred_corr', 1.0, id='PredCorr'), pytest.param('rouchon', 1.0, id='rouchon'), pytest.... |
_cache()
def get_executable_even_when_embedded():
exe = str(sys.executable)
if pathlib.Path(exe).name.startswith('python'):
try:
test_exe(exe)
return exe
except FileNotFoundError:
pass
current_path = pathlib.Path(np.__file__).parents[4]
exe = str(curre... |
def test_format_currency():
assert (numbers.format_currency(1099.98, 'USD', locale='en_US') == '$1,099.98')
assert (numbers.format_currency(1099.98, 'USD', locale='en_US', numbering_system='default') == '$1,099.98')
assert (numbers.format_currency(0, 'USD', locale='en_US') == '$0.00')
assert (numbers.fo... |
(os.environ, {'CUDA_VISIBLE_DEVICES': '0'})
def test_worker_fraction_limits(loop):
pytest.importorskip('rmm')
with popen(['dask', 'scheduler', '--port', '9369', '--no-dashboard']):
with popen(['dask', 'cuda', 'worker', '127.0.0.1:9369', '--host', '127.0.0.1', '--device-memory-limit', '0.1', '--rmm-pool-... |
def test_uniquifier():
obj1 = [1]
obj2 = [2]
obj3 = [3]
obj4 = [4]
obj5 = [5]
objs = [obj1, obj2, obj1, obj2, obj3, obj3]
objsA = [obj2, obj1, obj2, obj1, obj4, obj4]
uniq = Uniquifier(objs)
unique_objs = uniq.get_unique_objs()
assert (len(unique_objs) == 3)
assert (unique_ob... |
class SDFusionImage2ShapeModel(BaseModel):
def name(self):
return 'SDFusionImage2ShapeModel'
def initialize(self, opt):
BaseModel.initialize(self, opt)
self.isTrain = opt.isTrain
self.model_name = self.name()
self.device = opt.device
assert (opt.df_cfg is not None... |
.parametrize('freq, start_date, days_in_current_year, days_in_next_year', [('1D', '2012-12-31', 1, 0), ('1D', '2011-12-31', 1, 0), ('3D', '2012-12-30', 2, 1), (7, '2012-12-29', 3, 4), ('60h', '2012-12-31', 1, 1.5), ('15h', '2012-12-31', 0.625, 0), ('39h', '2012-12-31', 1, 0.625)])
def test_timestep_days_in_year_methods... |
class ResearchModels():
def __init__(self, nb_classes, num_of_snip, opt_flow_len, image_shape=(224, 224), saved_model=None):
self.num_of_snip = num_of_snip
self.opt_flow_len = opt_flow_len
self.load_model = load_model
self.saved_model = saved_model
self.nb_classes = nb_classe... |
def kbkdf_counter_mode_test(backend, params):
supported_counter_locations = {'before_fixed': CounterLocation.BeforeFixed, 'after_fixed': CounterLocation.AfterFixed, 'middle_fixed': CounterLocation.MiddleFixed}
ctr_loc = supported_counter_locations[params.pop('ctrlocation')]
brk_loc = None
if (ctr_loc ==... |
class ChaCha20(CipherAlgorithm):
name = 'ChaCha20'
key_sizes = frozenset([256])
def __init__(self, key: bytes, nonce: bytes):
self.key = _verify_key_size(self, key)
utils._check_byteslike('nonce', nonce)
if (len(nonce) != 16):
raise ValueError('nonce must be 128-bits (16 ... |
def test_upgrade_specifier(pipx_temp_env, capsys):
name = 'pylint'
pkg_spec = PKG[name]['spec']
initial_version = pkg_spec.split('==')[(- 1)]
assert (not run_pipx_cli(['install', f'{pkg_spec}']))
assert (not run_pipx_cli(['upgrade', f'{name}']))
captured = capsys.readouterr()
assert (f'upgra... |
class StartupsDataset(Dataset):
def __init__(self, path: str, max_samples: int=500):
super().__init__()
with open(path, 'r', encoding='utf8') as f:
lines = f.readlines()[:max_samples]
random.shuffle(lines)
self.data = [json.loads(line) for line in lines]
i... |
class FakeDirectory(FakeFile):
def __init__(self, name: str, perm_bits: int=helpers.PERM_DEF, filesystem: Optional['FakeFilesystem']=None):
FakeFile.__init__(self, name, (S_IFDIR | perm_bits), '', filesystem=filesystem)
self.st_nlink += 1
self._entries: Dict[(str, AnyFile)] = {}
def set_... |
def build_custom_train_loader(cfg, mapper=None):
source_aware = cfg.DATALOADER.SOURCE_AWARE
if source_aware:
dataset_dicts = get_detection_dataset_dicts_with_source(cfg.DATASETS.TRAIN, filter_empty=cfg.DATALOADER.FILTER_EMPTY_ANNOTATIONS, min_keypoints=(cfg.MODEL.ROI_KEYPOINT_HEAD.MIN_KEYPOINTS_PER_IMAG... |
def _read_classes(csv_reader):
result = OrderedDict()
for (line, row) in enumerate(csv_reader):
line += 1
try:
(class_name, class_id) = row
except ValueError:
raise_from(ValueError("line {}: format should be 'class_name,class_id'".format(line)), None)
clas... |
class AdaptiveBatchNorm2d(nn.BatchNorm2d):
def __init__(self, num_features, num_w=512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=True):
super(AdaptiveBatchNorm2d, self).__init__(num_features, eps, momentum, affine, track_running_stats)
self.weight_proj = nn.Linear(num_w, num_feature... |
class OrthographicPoisson():
def __init__(self, data):
self.method_name = 'orthographic_poisson'
print('running {}...'.format(self.method_name))
method_start = time.time()
p = ((- data.n[(data.mask, 0)]) / data.n[(data.mask, 2)])
q = ((- data.n[(data.mask, 1)]) / data.n[(data... |
def _find_common_ancestor_of_all_nodes(tasks: list[PTaskWithPath], paths: list[Path], show_nodes: bool) -> Path:
all_paths = []
for task in tasks:
all_paths.append(task.path)
if show_nodes:
all_paths.extend((x.path for x in tree_leaves(task.depends_on) if isinstance(x, PPathNode)))
... |
class Denoised_Classifier(torch.nn.Module):
def __init__(self, diffusion, model, classifier, t):
super().__init__()
self.diffusion = diffusion
self.model = model
self.classifier = classifier
self.t = t
def sdedit(self, x, t, to_01=True):
x = ((x * 2) - 1)
... |
class UtilTest(parameterized.TestCase, tf.test.TestCase):
def test_tfdata(self):
ground_truth_data = dummy_data.DummyData()
dataset = util.tf_data_set_from_ground_truth_data(ground_truth_data, 0)
one_shot_iterator = dataset.make_one_shot_iterator()
next_element = one_shot_iterator.ge... |
def test_help_subcommand_completion_with_flags_before_command(scu_app):
text = ''
line = 'help -h -v base {}'.format(text)
endidx = len(line)
begidx = (endidx - len(text))
first_match = complete_tester(text, line, begidx, endidx, scu_app)
assert ((first_match is not None) and (scu_app.completion... |
def find_18():
if (('msprnt.exe' in datastore.SYSTEMROOT_FILE_SET) or ('fmem.dll' in datastore.SYSTEMROOT_FILE_SET)):
return True
search_set = set(('pnppci', 'ethio', 'ntdos505', 'ndisio'))
if (not datastore.SERVICE_NAME_SET.isdisjoint(search_set)):
return True
(cmdStatus, cmdId) = dsz.c... |
def test_untested_floats(covtest):
covtest.makefile('\n def func():\n pass\n\n def untested():\n pass\n\n def untested2():\n pass\n\n def untested3():\n pass\n\n def untested4():\n pass\n\n def untested5():\n ... |
class Plugin(DigitalBitboxPlugin, QtPluginBase):
icon_unpaired = 'digitalbitbox_unpaired.png'
icon_paired = 'digitalbitbox.png'
def create_handler(self, window):
return DigitalBitbox_Handler(window)
_hook_if_libraries_available
def receive_menu(self, menu, addrs, wallet: Abstract_Wallet):
... |
def main_worker(gpu, ngpus_per_node, args):
global best_acc1
args.gpu = gpu
if (args.gpu is not None):
print('Use GPU: {} for training'.format(args.gpu))
if args.distributed:
if ((args.dist_url == 'env://') and (args.rank == (- 1))):
args.rank = int(os.environ['RANK'])
... |
.parametrize('edge,rotation,expected', [('crop_edge_top', 0, 'SizeVerCursor'), ('crop_edge_top', 90, 'SizeHorCursor'), ('crop_edge_top', 180, 'SizeVerCursor'), ('crop_edge_top', 270, 'SizeHorCursor'), ('crop_edge_bottom', 0, 'SizeVerCursor'), ('crop_edge_bottom', 90, 'SizeHorCursor'), ('crop_edge_bottom', 180, 'SizeVer... |
def get_local_output_filepaths(input_files, dest_dir):
output_files = []
for item in input_files:
if isinstance(item, list):
out = get_local_output_filepaths(item, dest_dir)
else:
out = get_local_path(item, dest_dir)
output_files.append(out)
return output_file... |
class ServerMessage(MessageBase):
def from_remote(cls, sock):
header = cls._recv(sock)
if (not PY2):
header = header.decode()
kwargs = json.loads(header)
struct_fmt = kwargs.get('struct_fmt')
if (struct_fmt is not None):
struct_fmt = str(struct_fmt)
... |
def main():
args = parse_args()
cfg = retrieve_data_cfg(args.config, args.skip_type, args.cfg_options)
dataset = build_dataset(cfg.data.train)
progress_bar = mmcv.ProgressBar(len(dataset))
for item in dataset:
filename = (os.path.join(args.output_dir, Path(item['filename']).name) if (args.ou... |
def main(args):
with open(args.parsed_ace_roles) as f:
parsed_ace_roles = json.load(f)
name_to_ontology = {parsed['name']: parsed for parsed in parsed_ace_roles}
print('Ontology loaded.')
with open(('.'.join(args.parsed_ace_roles.split('.')[:(- 1)]) + '.py')) as f:
ace_roles_full_context... |
class BloqBuilder():
def __init__(self, add_registers_allowed: bool=True):
self._cxns: List[Connection] = []
self._regs: List[Register] = []
self._binsts: Set[BloqInstance] = set()
self._i = 0
self._available: Set[Soquet] = set()
self.add_register_allowed = add_regist... |
def updateCron(restore=False):
if (not restore):
sysvals.rootUser(True)
crondir = '/var/spool/cron/crontabs/'
if (not os.path.exists(crondir)):
crondir = '/var/spool/cron/'
if (not os.path.exists(crondir)):
doError(('%s not found' % crondir))
cronfile = (crondir + 'root')
... |
def MobileNet(input_shape=None, alpha=1.0, depth_multiplier=1, dropout=0.001, include_top=True, weights='imagenet', input_tensor=None, pooling=None, classes=1000, params=PARAM_NONE, **kwargs):
global backend, layers, models, keras_utils
(backend, layers, models, keras_utils) = get_submodules_from_kwargs(kwargs)... |
def get_atom_symbols(mol, center_ids):
aromatic_elements = _aromatic_elements
atom_symbols = []
for atom in mol.GetAtoms():
atomic_num = atom.GetAtomicNum()
is_in_ring = atom.IsInRing()
if (atomic_num == 0):
element_symbol = '#0'
elif (is_in_ring and (atomic_num i... |
def parse_data(dataset_dir, file_name, interval):
data_all = []
file_path = f'{dataset_dir}/{file_name}'
with open(file_path, 'r') as f:
lines = f.read().splitlines()
Nt = int((len(lines) / interval))
print('Nt, interval', Nt, interval)
for i in tqdm(range(Nt)):
f... |
def main():
root = './Data/'
parser = argparse.ArgumentParser('WiFi Imaging Benchmark')
parser.add_argument('--dataset', choices=['UT_HAR_data', 'NTU-Fi-HumanID', 'NTU-Fi_HAR', 'Widar'])
parser.add_argument('--model', choices=['MLP', 'LeNet', 'ResNet18', 'ResNet50', 'ResNet101', 'RNN', 'GRU', 'LSTM', 'B... |
def use_src_log_handler(where: Union[(HandlerMode, str)]) -> None:
global _current_mode
if isinstance(where, str):
where = HandlerMode[where.upper()]
_initialize_if_necessary()
if (where == _current_mode):
return
if (_current_mode == HandlerMode.IN_SRC):
_disable_default_hand... |
def _get_value_for_key(key, obj, default):
if is_indexable_but_not_string(obj):
try:
return obj[key]
except (IndexError, TypeError, KeyError):
pass
if is_integer_indexable(obj):
try:
return obj[int(key)]
except (IndexError, TypeError, ValueErro... |
class PColorMeshItem(GraphicsObject):
sigLevelsChanged = QtCore.Signal(object)
def __init__(self, *args, **kwargs):
GraphicsObject.__init__(self)
self.qpicture = None
self.x = None
self.y = None
self.z = None
self._dataBounds = None
self.edgecolors = kwarg... |
class LSTMEncoder(Encoder):
def __init__(self, vocab, embed_size, hidden_size, num_layers, dropout, bidirectional=True):
super().__init__(vocab)
self.vocab = vocab
self.bidirectional = bidirectional
self.embed = nn.Embedding(len(self.vocab), embed_size)
self.lstm = nn.LSTM(em... |
def setUpModule():
global cell, alle_cell, kpts, alle_kpts
cell = gto.Cell()
cell.unit = 'A'
cell.atom = 'C 0., 0., 0.; C 0.8917, 0.8917, 0.8917'
cell.a = '0. 1.7834 1.7834\n 1.7834 0. 1.7834\n 1.7834 1.7834 0. '
cell.basis = 'gth-dzvp'
cell... |
.parametrize(['cls', 'result'], [(int, False), (bool, False), (str, False), (bytes, False), (list, True), (dict, True), (type, True), (set, True), (frozenset, True), (collections.deque, True), (collections.ChainMap, True), (collections.defaultdict, True), *gen_ns_parametrize((lambda gen_ns: (gen_ns.Gen, True)), (lambda... |
def get_model_path(timestamp, opts):
inputs = ((('z' + str(opts.use_z)) + '_alpha') + str(opts.use_alpha))
model_path = ((opts.log_dir % opts.dataset) + (opts.model_epoch_path % (timestamp, opts.folder_to_save, opts.lr, opts.batch_size, opts.model_type, opts.splatter, opts.noise, opts.norm_G, opts.refine_model_... |
class ResponseWrapperBase():
def __init__(self, response):
self.original = response
def text(self):
return self.original.text
def content(self):
return self.original.content
def status_code(self):
return self.original.status_code
def headers(self):
return self... |
class DayRoomThroughModel(OrderedModel):
day = models.ForeignKey(Day, on_delete=models.CASCADE, verbose_name=_('day'), related_name='added_rooms')
room = models.ForeignKey(Room, on_delete=models.CASCADE, verbose_name=_('room'))
order_with_respect_to = 'day'
streaming_url = models.URLField(_('Streaming U... |
class TestThriftEnum(TestNameCheckVisitorBase):
_passes()
def test_basic(self):
class ThriftEnum(object):
X = 0
Y = 1
_VALUES_TO_NAMES = {0: 'X', 1: 'Y'}
_NAMES_TO_VALUES = {'X': 0, 'Y': 1}
def want_enum(e: ThriftEnum):
pass
def... |
class sdist(orig.sdist):
user_options = [('formats=', None, 'formats for source distribution (comma-separated list)'), ('keep-temp', 'k', ('keep the distribution tree around after creating ' + 'archive file(s)')), ('dist-dir=', 'd', 'directory to put the source distribution archive(s) in [default: dist]'), ('owner=... |
class MJVLIGHT(Structure):
_fields_ = [('pos', (c_float * 3)), ('dir', (c_float * 3)), ('attenuation', (c_float * 3)), ('cutoff', c_float), ('exponent', c_float), ('ambient', (c_float * 3)), ('diffuse', (c_float * 3)), ('specular', (c_float * 3)), ('headlight', c_ubyte), ('directional', c_ubyte), ('castshadow', c_u... |
def from_content_type(response, base_url=None, base_path=None, tree_type=HIERARCHY):
assert hasattr(response, 'headers'), "Response object must have a 'headers' attribute!"
assert hasattr(response, 'url'), "Response object must have a 'url' attribute!"
ctypes = get_content_type_from_headers(response.headers... |
class FakeOpener():
def __init__(self):
self.reqs = []
def __call__(self, *args):
return self
def open(self, req, data=None, timeout=None):
self.reqs.append(req)
return self
def read(self):
return b'xxx'
def getheader(self, name, default=None):
return ... |
def _convert_extras_requirements(extras_require: _StrOrIter) -> Mapping[(str, _Ordered[Requirement])]:
output: Mapping[(str, _Ordered[Requirement])] = defaultdict(dict)
for (section, v) in extras_require.items():
output[section]
for r in _reqs.parse(v):
output[(section + _suffix_for(... |
.allow_bad_gc_pyside
def test_editor(qtbot, plotting):
plotter = BackgroundPlotter(editor=False, off_screen=False)
qtbot.addWidget(plotter.app_window)
assert (plotter.editor is None)
plotter.close()
plotter = BackgroundPlotter(editor=True, off_screen=False)
qtbot.addWidget(plotter.app_window)
... |
class Tpango(TestCase):
def test_escape_empty(self):
self.assertEqual(util.escape(''), '')
def test_roundtrip(self):
for s in ['foo&', '<&>', '&', '&', '<&testing&>amp;']:
esc = util.escape(s)
self.assertNotEqual(s, esc)
self.assertEqual(s, util.un... |
def sampler(z, y):
with tf.variable_scope('generator'):
tf.get_variable_scope().reuse_variables()
(s2, s4) = (int((FLAGS.output_size / 2)), int((FLAGS.output_size / 4)))
y_size = 256
y_linear = linear(y, y_size, 'g_liner')
z = tf.concat(axis=1, values=[z, y_linear])
h... |
def test_step_functions_same_parser(pytester):
pytester.makefile('.feature', target_fixture=textwrap.dedent(' Feature: A feature\n Scenario: A scenario\n Given there is a foo with value "(?P<value>\\w+)"\n And there is a foo with value "testfoo"\n ... |
class RandBatchNorm2d(nn.Module):
def __init__(self, sigma_0, N, init_s, num_features, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True):
super(RandBatchNorm2d, self).__init__()
self.sigma_0 = sigma_0
self.N = N
self.num_features = num_features
self.init_s = ini... |
class Series(Frame, _SeriesMixin):
def __init__(self, *args, **kwargs):
example = None
if ('example' in kwargs):
example = kwargs.get('example')
elif (len(args) > 1):
example = args[1]
if isinstance(self, Index):
self._subtype = get_base_frame_type... |
class Effect2756(BaseEffect):
type = 'passive'
def handler(fit, ship, context, projectionRange, **kwargs):
for type in ('Gravimetric', 'Magnetometric', 'Ladar', 'Radar'):
fit.modules.filteredItemBoost((lambda mod: (mod.item.group.name == 'ECM')), 'scan{0}StrengthBonus'.format(type), ship.get... |
_REGISTRY.register()
def build_fcos_resnet_bifpn_backbone(cfg, input_shape: ShapeSpec):
bottom_up = build_resnet_backbone(cfg, input_shape)
in_features = cfg.MODEL.FPN.IN_FEATURES
out_channels = cfg.MODEL.BIFPN.OUT_CHANNELS
num_repeats = cfg.MODEL.BIFPN.NUM_BIFPN
top_levels = 2
backbone = BiFPN(... |
class PerTensorCompression(AdaptiveCompressionBase):
def __init__(self, tensor_compressions: Union[(Sequence[CompressionBase], Mapping[(Key, CompressionBase)])]):
self.tensor_compressions = tensor_compressions
def choose_compression(self, info: CompressionInfo) -> CompressionBase:
return self.te... |
class ChargeBase(StageBase):
type: Literal['ChargeBase'] = 'ChargeBase'
solvent_settings: Optional[T] = Field(None, description='The settings used to calculate the electron density in implicit solvent.')
program: Literal['gaussian'] = Field('gaussian', description='The name of the QM program to calculate th... |
class CatalogReference(VersionBase):
def __init__(self, catalogname, entryname):
self.catalogname = catalogname
self.entryname = entryname
self.parameterassignments = []
def __eq__(self, other):
if isinstance(other, CatalogReference):
if ((self.get_attributes() == oth... |
def kmeans_embeddings(embs, k_opt=None, k_max=10, method='faiss', return_fitted_model=False):
if (k_opt is None):
silhouette_scores = []
for n_cluster in range(2, min((k_max + 1), len(embs))):
labels = kmeans_train(embs, n_cluster, method)
silhouette_scores.append(silhouette_... |
def _get_listener():
global _listener
if (_listener is None):
_lock.acquire()
try:
if (_listener is None):
debug('starting listener and thread for sending handles')
_listener = Listener(authkey=current_process().authkey)
t = threading.T... |
def is_send_transfer_almost_equal(send_channel: NettingChannelState, send: LockedTransferUnsignedState, received: LockedTransferSignedState) -> bool:
return ((send.payment_identifier == received.payment_identifier) and (send.token == received.token) and (send.lock.expiration == received.lock.expiration) and (send.l... |
class ProjectManagerOptions(PymiereBaseObject):
def __init__(self, pymiere_id=None):
super(ProjectManagerOptions, self).__init__(pymiere_id)
' Which transfer option to use; will be one of these: \t`CLIP_TRANSFER_COPY` `CLIP_TRANSFER_TRANSCODE` '
def clipTransferOption(self):
return self._ev... |
def test_cannot_reset_password_of_not_active_user(graphql_client):
user = UserFactory(email='', password='old-password', jwt_auth_id=1, is_active=False)
token = _create_reset_password_token(user=user)
body = graphql_client.query('mutation($input: ResetPasswordInput!) {\n resetPassword(input: $inp... |
def wandb_log(prefix, sp_values, com_values, update_summary=False, wandb_summary_dict={}):
new_values = {}
for (k, _) in sp_values.items():
new_key = ((prefix + '/') + k)
new_values[new_key] = sp_values[k]
if update_summary:
if (new_key not in wandb_summary_dict):
... |
def main(config, db, **kwargs):
_check_missing_stream_info(config, db, update_db=(not config.debug))
if config.record_scores:
_check_new_episode_scores(config, db, update_db=(not config.debug))
_record_poll_scores(config, db, update_db=(not config.debug))
_check_show_lengths(config, db, update_d... |
def evaluate(args, model, tokenizer, prefix='', output_layer=(- 1), eval_highway=False):
eval_task_names = (('mnli', 'mnli-mm') if (args.task_name == 'mnli') else (args.task_name,))
eval_outputs_dirs = ((args.output_dir, (args.output_dir + '-MM')) if (args.task_name == 'mnli') else (args.output_dir,))
resul... |
class Visualizer():
def __init__(self, opt):
self.display_id = opt.display_id
self.use_html = (opt.isTrain and (not opt.no_html))
self.win_size = opt.display_winsize
self.name = opt.name
self.opt = opt
self.saved = False
if (self.display_id > 0):
i... |
class BaseDraftWire(BaseSketch):
_id = (- 1)
def check(cls, elements, checkCount=False):
super(BaseDraftWire, cls).check(elements, checkCount)
if (not checkCount):
return
for info in elements:
if utils.isDraftWire(info.Part):
return
raise R... |
def test_multi_marker_union_with_multi_union_is_single_marker() -> None:
m = parse_marker('sys_platform == "darwin" and python_version == "3"')
m2 = parse_marker('sys_platform == "darwin" and python_version < "3" or sys_platform == "darwin" and python_version > "3"')
assert (str(m.union(m2)) == 'sys_platfor... |
.supported(only_if=(lambda backend: backend.cipher_supported(algorithms.TripleDES((b'\x00' * 8)), modes.CFB((b'\x00' * 8)))), skip_message='Does not support TripleDES CFB')
class TestTripleDESModeCFB():
test_kat = generate_encrypt_test(load_nist_vectors, os.path.join('ciphers', '3DES', 'CFB'), ['TCFB64invperm.rsp',... |
def _ButtonTruncInfo(win):
lineFormat = win32defines.DT_SINGLELINE
if win.has_style(win32defines.BS_MULTILINE):
lineFormat = win32defines.DT_WORDBREAK
heightAdj = 4
widthAdj = 5
if win.has_style(win32defines.BS_PUSHLIKE):
widthAdj = 3
heightAdj = 3
if win.has_style(wi... |
class Effect6436(BaseEffect):
displayName = 'Warp Disruption'
grouped = True
prefix = 'fighterAbilityWarpDisruption'
type = ('active', 'projected')
def handler(cls, fit, src, context, projectionRange, **kwargs):
if ('projected' not in context):
return
if fit.ship.getModif... |
.parametrize('b, loc, scale, size', [(np.array(5, dtype=config.floatX), np.array(0, dtype=config.floatX), np.array(1, dtype=config.floatX), None), (np.array(5, dtype=config.floatX), np.array(0, dtype=config.floatX), np.array(1, dtype=config.floatX), []), (np.array(5, dtype=config.floatX), np.array(0, dtype=config.float... |
def test_animal_fly_dataset():
dataset = 'AnimalFlyDataset'
dataset_class = DATASETS.get(dataset)
dataset_info = Config.fromfile('configs/_base_/datasets/fly.py').dataset_info
channel_cfg = dict(num_output_channels=32, dataset_joints=32, dataset_channel=[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14... |
class TestTrainingExtensionsUtils(unittest.TestCase):
def test_round_up_to_higher_multiplicity(self):
self.assertEqual(round_up_to_multiplicity(8, 3, 32), 8)
self.assertEqual(round_up_to_multiplicity(8, 13, 32), 16)
self.assertEqual(round_up_to_multiplicity(8, 17, 32), 24)
self.asser... |
def build_doc_eval_file(out_file, encodings_dir, encoder_model, k, per_doc=True):
print('loading data...')
corpus = SquadRelevanceCorpus()
questions = corpus.get_dev()
spec = QuestionAndParagraphsSpec(batch_size=None, max_num_contexts=1, max_num_question_words=None, max_num_context_words=None)
voc =... |
class PhysERI4(PhysERI):
def __init__(self, model, frozen=None):
td.PhysERI4.__init__.im_func(self, model, frozen=frozen)
symmetries = [((0, 1, 2, 3), False), ((1, 0, 3, 2), False), ((2, 3, 0, 1), True), ((3, 2, 1, 0), True)]
def __calc_block__(self, item, k):
if (self.kconserv[k[:3]] == k[3... |
def main(args):
modelpath = (args.loadDir + args.loadModel)
weightspath = (args.loadDir + args.loadWeights)
print(('Loading model: ' + modelpath))
print(('Loading weights: ' + weightspath))
model = Net(NUM_CLASSES)
model = torch.nn.DataParallel(model)
if (not args.cpu):
model = model... |
class FieldDefinition(object):
FIELDS = {}
def lookup(cls, name):
try:
field = cls.FIELDS[name]
except KeyError:
field = TorrentProxy.add_manifold_attribute(name)
return ({'matcher': field._matcher} if field else None)
def __init__(self, valtype, name, doc, ac... |
def test_column_lineage_multiple_paths_for_same_column():
sql = 'INSERT INTO tab2\nSELECT tab1.id,\n coalesce(join_table_1.col1, join_table_2.col1, join_table_3.col1) AS col1\nFROM tab1\n LEFT JOIN (SELECT id, col1 FROM tab1 WHERE flag = 1) AS join_table_1\n ON tab1.id = join_table_1... |
def filter_by_size(indices, dataset, max_positions, raise_exception=False):
if (isinstance(max_positions, float) or isinstance(max_positions, int)):
if (hasattr(dataset, 'sizes') and isinstance(dataset.sizes, np.ndarray)):
ignored = indices[(dataset.sizes[indices] > max_positions)].tolist()
... |
def test_assert_reactpy_logged_ignores_level():
original_level = ROOT_LOGGER.level
ROOT_LOGGER.setLevel(logging.INFO)
try:
with testing.assert_reactpy_did_log(match_message='.*'):
ROOT_LOGGER.debug('my message')
finally:
ROOT_LOGGER.setLevel(original_level) |
class Ui_Form(object):
def setupUi(self, Form):
Form.setObjectName('Form')
Form.resize(481, 840)
self.averageGroup = QtWidgets.QGroupBox(Form)
self.averageGroup.setGeometry(QtCore.QRect(0, 640, 242, 182))
self.averageGroup.setCheckable(True)
self.averageGroup.setCheck... |
def ql_syscall_writev(ql: Qiling, fd: int, vec: int, vlen: int):
regreturn = 0
size_t_len = ql.arch.pointersize
iov = ql.mem.read(vec, ((vlen * size_t_len) * 2))
ql.log.debug('writev() CONTENT:')
for i in range(vlen):
addr = ql.unpack(iov[((i * size_t_len) * 2):(((i * size_t_len) * 2) + size... |
class SmilesRnnSampler():
def __init__(self, device: str, batch_size=64) -> None:
self.device = device
self.batch_size = batch_size
self.sd = SelfiesCharDictionary()
def sample(self, model: SmilesRnn, num_to_sample: int, max_seq_len=100):
sampler = ActionSampler(max_batch_size=se... |
def _layer_dict(manifest_layer, index):
command = None
if manifest_layer.command:
try:
command = json.loads(manifest_layer.command)
except (TypeError, ValueError):
command = [manifest_layer.command]
return {'index': index, 'compressed_size': manifest_layer.compressed_... |
class EnvironmentAction(_ActionType):
def __init__(self, environment):
if (not (isinstance(environment, Environment) or isinstance(environment, CatalogReference))):
raise TypeError('environment input not of type Environment or CatalogReference')
self.environment = environment
def __e... |
def test_duplicate_robot_creation(app):
with client_with_identity('devtable', app) as cl:
resp = conduct_api_call(cl, UserRobot, 'PUT', {'robot_shortname': 'dtrobot'}, expected_code=400)
assert (resp.json['error_message'] == 'Existing robot with name: devtable+dtrobot')
resp = conduct_api_ca... |
class Rectangularity():
def __init__(self, gdf, areas=None):
self.gdf = gdf
gdf = gdf.copy()
if (areas is None):
areas = gdf.geometry.area
if (not isinstance(areas, str)):
gdf['mm_a'] = areas
areas = 'mm_a'
self.areas = gdf[areas]
m... |
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--img-folder', type=str, required=True)
parser.add_argument('--prefix', type=str, required=True)
parser.add_argument('--out-path', type=str, required=True)
parser.add_argument('--start', type=int, default=None)
parser.add_... |
class W_InterposeStructBase(values_struct.W_RootStruct):
EMPTY_HANDLER_MAP = make_caching_map_type('get_storage_index', int).EMPTY
EMPTY_PROPERTY_MAP = make_map_type('get_storage_index', W_Object).EMPTY
_attrs_ = ['inner', 'base', 'map']
_immutable_fields_ = ['inner', 'base', 'map']
def __init__(sel... |
def test_multiline_import_snippets(config, workspace):
document = 'from datetime import(\n date,\n datetime)\na=date'
doc = Document(DOC_URI, workspace, document)
config.capabilities['textDocument'] = {'completion': {'completionItem': {'snippetSupport': True}}}
config.update({'plugins': {'jedi_completio... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.