code stringlengths 281 23.7M |
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def index() -> pc.Component:
return pc.center(pc.vstack(navbar(State), pc.text('Enter a stock symbol', background_image='linear-gradient(271.68deg, #EE756A 0.75%, #756AEE 88.52%)', background_clip='text', font_weight='bold', font_size='2em'), pc.text(State.ticker2, font_family='Silkscreen'), pc.input(on_change=Stat... |
class TransfoXLModelTester():
def __init__(self, parent, batch_size=14, seq_length=7, mem_len=30, clamp_len=15, is_training=False, use_labels=True, vocab_size=99, cutoffs=[10, 50, 80], hidden_size=32, d_embed=32, num_attention_heads=4, d_head=8, d_inner=128, div_val=2, num_hidden_layers=5, scope=None, seed=1, eos_t... |
def get_configs_from_pipeline_file():
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
with tf.gfile.GFile(FLAGS.pipeline_config_path, 'r') as f:
text_format.Merge(f.read(), pipeline_config)
model_config = pipeline_config.model.ssd
train_config = pipeline_config.train_config
input_co... |
def process_data(csv_file):
results = []
name = csv_file.split('.')[0]
df_file = pd.read_csv(csv_file)
num = len(df_file)
for i in range(num):
json_file = (((name + '_') + str(i)) + '.json')
if os.path.exists(json_file):
with open(json_file) as f:
results.... |
class UffdOAuth2(BaseOAuth2):
name = 'uffd'
ACCESS_TOKEN_METHOD = 'POST'
REFRESH_TOKEN_METHOD = 'POST'
SCOPE_SEPARATOR = ' '
STATE_PARAMETER = True
REDIRECT_STATE = False
EXTRA_DATA = [('id', 'id')]
def get_user_details(self, response):
(fullname, first_name, last_name) = self.ge... |
class TestReadmeSample(QiskitChemistryTestCase):
def setUp(self):
super().setUp()
try:
from qiskit.chemistry.drivers import PySCFDriver
PySCFDriver(atom='Li .0 .0 .0; H .0 .0 1.6')
except QiskitChemistryError:
self.skipTest('PYSCF driver does not appear to... |
def create_H(kaldi_root: Path, fst_dir: Path, disambig_out_units_file: Path, in_labels: str, vocab: Dictionary, blk_sym: str, silence_symbol: Optional[str]) -> (Path, Path, Path):
h_graph = (fst_dir / f"H.{in_labels}{(('_' + silence_symbol) if silence_symbol else '')}.fst")
h_out_units_file = (fst_dir / f'kaldi... |
class EvoqueHtmlLexer(DelegatingLexer):
name = 'HTML+Evoque'
aliases = ['html+evoque']
filenames = ['*.html']
mimetypes = ['text/html+evoque']
url = '
version_added = '1.1'
def __init__(self, **options):
super().__init__(HtmlLexer, EvoqueLexer, **options)
def analyse_text(text):
... |
class Projection(nn.Module):
def __init__(self, dim, projection_size, hidden_size):
super().__init__()
self.net = nn.Sequential(nn.Linear(dim, hidden_size, bias=False), nn.ReLU(inplace=True), nn.Linear(hidden_size, projection_size, bias=False))
def forward(self, x):
return self.net(x) |
class SignalDispatcher(object):
def __init__(self):
self._signals = {}
def signal_clear(self):
for handler_list in self._signals.values():
for handler in handler_list:
handler.function = None
self._signals = {}
def signal_bind(self, signal_name, function, ... |
(scope='class')
def aviary_testing_model():
test_model_path = get_test_model_path()
test_model_runner = os.environ.get('AVIARY_TEST_MODEL_LAUNCH_MODULE_PATH', 'rayllm.backend.server.run').lower()
test_model_patch_target = os.environ.get('AVIARY_TEST_VLLM_PATCH_TARGET', test_model_runner)
launch_fn = 'ru... |
.parametrize(('test_input', 'expected'), [(' ' not a link to a recognized domain to prettify'), (' ' not a link to a list, message or thread'), (' ' not a link to a Discourse thread or category')])
def test_process_pretty_url_invalid(test_input, expected):
with pytest.raises(ValueError, match=expected):
pep... |
class MyType(Type):
def __init__(self, thingy):
self.thingy = thingy
def __eq__(self, other):
return ((type(other) == type(self)) and (other.thingy == self.thingy))
def __str__(self):
return str(self.thingy)
def __repr__(self):
return str(self.thingy)
def filter(self,... |
class ImageList(MutableList):
__item_type__ = Image
def observe_item(self, item):
item = self.__item_type__.coerce(None, item)
item._parents = self._parents
return item
def __setitem__(self, index, value):
list.__setitem__(self, index, self.observe_item(value))
self.c... |
class _SpecialForm(typing._Final, _root=True):
__slots__ = ('_name', '__doc__', '_getitem')
def __init__(self, getitem):
self._getitem = getitem
self._name = getitem.__name__
self.__doc__ = getitem.__doc__
def __getattr__(self, item):
if (item in {'__name__', '__qualname__'})... |
def _has_main_check(line: str) -> bool:
if (line.strip() == ''):
return False
(keyword, *condition) = line.split()
spaceless_condition = ''.join(condition)
return ((keyword == 'if') and line.startswith(keyword) and ((spaceless_condition == "__name__=='__main__':") or (spaceless_condition == '__n... |
def copy(rpin, rpout, compress=0):
log.Log('Regular copying input path {ip} to output path {op}'.format(ip=rpin, op=rpout), log.DEBUG)
if (not rpin.lstat()):
if rpout.lstat():
rpout.delete()
return
if rpout.lstat():
if (rpin.isreg() or (not cmp(rpin, rpout))):
... |
def plotly_plt(scatters, title, ylabel, output_file, limits=None, show=False, figsize=None):
del figsize
try:
import plotly.graph_objs as go
import plotly.io as pio
except ImportError:
raise SystemExit('Unable to import plotly, install with: pip install pandas plotly')
fig = go.F... |
def test_get_recompute(verbose=True, *args, **kwargs):
s = load_spec(getTestFile('CO_Tgas1500K_mole_fraction0.01.spec'), binary=True)
assert (s.get_vars() == ['abscoeff'])
assert s.conditions['thermal_equilibrium']
assert (set(get_recompute(s, ['radiance_noslit'])) == set(('radiance_noslit', 'abscoeff')... |
class GroupBox(_GroupBase):
orientations = base.ORIENTATION_HORIZONTAL
defaults = [('block_highlight_text_color', None, 'Selected group font colour'), ('active', 'FFFFFF', 'Active group font colour'), ('inactive', '404040', 'Inactive group font colour'), ('highlight_method', 'border', "Method of highlighting ('... |
class Critic(nn.Module):
def __init__(self, state_dim, action_dim):
super(Critic, self).__init__()
self.action_repeat = max(1, int(((0.5 * state_dim) // action_dim)))
action_dim = (action_dim * self.action_repeat)
self.l1 = nn.Linear((state_dim + action_dim), 400)
self.l2 = n... |
class RelativePositionGraph(object):
def __init__(self, stopword_ids, tokenizer):
self.stopword_ids = stopword_ids
self.tokenizer = tokenizer
self.word2id = self.tokenizer.get_vocab()
def update_node_dict(self, b, new_sentence):
if (str(new_sentence) not in self.sentence2id[b]):
... |
_fixtures(WebFixture, SqlAlchemyFixture, OptimisticConcurrencyWithAjaxFixture)
def test_optimistic_concurrency_with_ajax(web_fixture, sql_alchemy_fixture, concurrency_fixture):
fixture = concurrency_fixture
with sql_alchemy_fixture.persistent_test_classes(fixture.ModelObject):
model_object = fixture.mod... |
def test_no_capture_preserves_custom_excepthook(testdir):
testdir.makepyfile('\n import pytest\n import sys\n from pytestqt.qt_compat import qt_api\n\n def custom_excepthook(*args):\n sys.__excepthook__(*args)\n\n sys.excepthook = custom_excepthook\n\n .qt_no_exc... |
class Migration(migrations.Migration):
dependencies = [('adserver', '0053_add_regiontopic_index')]
operations = [migrations.AddField(model_name='publisherpayout', name='end_date', field=models.DateField(help_text='Last day of paid period', null=True, verbose_name='End Date')), migrations.AddField(model_name='pu... |
class CreateSignatureViewTest(TestCase):
def setUpTestData(cls):
add_default_data()
def test_CreateSignaturePOSTOk(self):
data = {'first_name': 'Alan', 'last_name': 'John', 'email': '', 'phone': '', 'subscribed_to_mailinglist': False}
petition = Petition.objects.filter(published=True).fi... |
class MultiLineFormatter(logging.Formatter):
def __init__(self, fmt):
super().__init__(fmt)
match = _re.search('%\\(levelname\\)-(\\d+)s', fmt)
self.level_length = (int(match.group(1)) if match else 0)
def format(self, record):
original = super().format(record)
lines = or... |
class OpenFitInNewTab(ContextMenuSingle):
def __init__(self):
self.mainFrame = gui.mainFrame.MainFrame.getInstance()
def display(self, callingWindow, srcContext, mainItem):
if (srcContext not in ('projectedFit', 'commandFit', 'graphFitListMisc', 'graphTgtListMisc')):
return False
... |
def main():
enhance_print()
basic_multivector_operations()
check_generalized_BAC_CAB_formulas()
derivatives_in_rectangular_coordinates()
derivatives_in_spherical_coordinates()
rounding_numerical_components()
conformal_representations_of_circles_lines_spheres_and_planes()
properties_of_ge... |
def run_test(case, m):
m.elaborate()
m.apply(BehavioralRTLIRGenPass(m))
m.apply(BehavioralRTLIRTypeCheckPass(m))
visitor = YosysBehavioralRTLIRToVVisitorL2((lambda x: (x in verilog_reserved)))
upblks = m.get_metadata(BehavioralRTLIRGenPass.rtlir_upblks)
m_all_upblks = m.get_update_blocks()
a... |
def init_guess_by_chkfile(cell, chkfile_name, project=None, kpt=None):
from pyscf import gto
(chk_cell, scf_rec) = chkfile.load_scf(chkfile_name)
if (project is None):
project = (not gto.same_basis_set(chk_cell, cell))
mo = scf_rec['mo_coeff']
mo_occ = scf_rec['mo_occ']
if (kpt is None):... |
class Bookmarks(SongsMenuPlugin):
PLUGIN_ID = 'Go to Bookmark'
PLUGIN_NAME = _('Go to Bookmark')
PLUGIN_DESC = _('Manages bookmarks in the selected files.')
PLUGIN_ICON = Icons.GO_JUMP
plugin_handles = any_song(has_bookmark)
def __init__(self, songs, *args, **kwargs):
super().__init__(so... |
class AttendeeTicket():
id: strawberry.ID
hashid: strawberry.ID
name: Optional[str]
email: Optional[str]
secret: str
variation: Optional[strawberry.ID]
item: TicketItem
_conference: strawberry.Private[Conference]
_data: strawberry.Private[Any]
def role(self, info: Info) -> (Confe... |
class SparseMaxPool(SparseModule):
def __init__(self, ndim, kernel_size, stride=1, padding=0, dilation=1, subm=False):
super(SparseMaxPool, self).__init__()
if (not isinstance(kernel_size, (list, tuple))):
kernel_size = ([kernel_size] * ndim)
if (not isinstance(stride, (list, tup... |
class TestProposers(unittest.TestCase):
def setUp(self) -> None:
topology = Topology(world_size=2, compute_device='cuda')
self.enumerator = EmbeddingEnumerator(topology=topology, batch_size=BATCH_SIZE)
self.greedy_proposer = GreedyProposer()
self.uniform_proposer = UniformProposer()
... |
def test_connect_wr_As_wr_x_conn_At_disjoint():
class Top(ComponentLevel3):
def construct(s):
s.x = Wire(Bits24)
s.A = Wire(Bits32)
connect(s.x, s.A[8:32])
def up_wr_As():
s.A[0:4] = Bits4(15)
def up_wr_x():
s.x = Bi... |
class BaseSignalExpr():
def __init__(s, rtype):
assert isinstance(rtype, rt.BaseRTLIRType), f'non-RTLIR type {rtype} encountered!'
s.rtype = rtype
def get_rtype(s):
return s.rtype
def __eq__(s, other):
return ((type(s) is type(other)) and (s.rtype == other.rtype))
def __h... |
class MainWindow(QMainWindow):
def __init__(self):
super(MainWindow, self).__init__()
fileMenu = QMenu('&File', self)
newAction = fileMenu.addAction('&New...')
newAction.setShortcut('Ctrl+N')
self.printAction = fileMenu.addAction('&Print...', self.printFile)
self.prin... |
class RHCPEnv(CEnv):
def __init__(self):
super().__init__()
self.agent_names = ['agent1', 'agent2', 'agent3']
def prepare(self):
super().prepare()
self.lord = self.agent_names[self.get_current_idx()]
self.controller = self.lord
def curr_player(self):
return se... |
def check_haskell_requirements():
if (which('ghc') is None):
print('GHC is not installed!\n')
return False
if (which('cabal') is None):
print('cabal is not installed!\n')
return False
if (which('c2hs') is None):
print('c2hs is not installed!\n')
return False
... |
def get_SVHN(augment, dataroot, download):
image_shape = (32, 32, 3)
num_classes = 10
if augment:
transformations = [transforms.RandomAffine(0, translate=(0.1, 0.1))]
else:
transformations = []
transformations.extend([transforms.ToTensor(), preprocess])
train_transform = transfor... |
def test_object():
object1 = xodr.Object(s=10.0, t=(- 2), dynamic=xodr.Dynamic.no, orientation=xodr.Orientation.positive, zOffset=0.0, id='1', height=1.0, Type=xodr.ObjectType.pole)
object2 = xodr.Object(s=20.0, t=(- 2), dynamic=xodr.Dynamic.no, orientation=xodr.Orientation.positive, zOffset=0.0, height=10, id=... |
def mol_transform(mols, model, prop, largest_molecule_len, alphabet, upperbound_dr, lr_dream, dreaming_parameters, plot=False):
for (i, mol) in enumerate(mols):
mol = torch.reshape(mol, (1, mol.shape[0], mol.shape[1]))
(track_prop, track_mol, percent_valid_interm, track_loss, epoch_transformed) = dr... |
def test_gaussian_solvent_template(tmpdir, water):
with tmpdir.as_cwd():
charge_engine = DDECCharges()
solvent_settings = charge_engine._get_calculation_settings()
task = AtomicInput(molecule=water.to_qcschema(), driver='energy', model={'method': 'b3lyp-d3bj', 'basis': '6-311G'}, keywords=so... |
class TestSimpleColumns(BaseTestColumns):
def test_SimpleColumnInt64(self) -> None:
data = [1, 2, None, 3, 4, None]
col = infer_column(data)
self.assertEqual(col[0], 1)
self.assertEqual(col[1], 2)
self.assertEqual(col[3], 3)
self.assertEqual(col[4], 4)
self.as... |
class InvertedResidual(nn.Module):
def __init__(self, inp, oup, stride, expand_ratio):
super(InvertedResidual, self).__init__()
self.stride = stride
assert (stride in [1, 2])
hidden_dim = round((inp * expand_ratio))
self.use_res_connect = ((self.stride == 1) and (inp == oup))... |
class ReversibleBlock(nn.Module):
def __init__(self, fm, gm):
super(ReversibleBlock, self).__init__()
self.gm = gm
self.fm = fm
self.rev_funct = ReversibleBlockFunction.apply
def forward(self, x):
assert ((x.shape[1] % 2) == 0)
params = ([w for w in self.fm.parame... |
def ql_syscall_connect_attach(ql: Qiling, nd, pid, chid, index, flags, *args, **kw):
assert ((nd, flags) == (ND_LOCAL_NODE, connect_attach_flags['_NTO_COF_CLOEXEC'])), 'syscall_connect_attach parameters are wrong'
ql.log.debug(f'syscall_connect_attach(nd = ND_LOCAL_NODE, pid = {pid}, chid = {chid}, index = 0x{i... |
()
('--random-seed', envvar='SEED', default=0)
('--test-on-gt', type=bool, default=True)
('--only-test', type=bool, default=False)
('--overfit', type=bool, default=False)
('--fusion', type=click.Choice(choices=['none', 'avg']), default='none')
('--weighted-aggregation', type=bool, default=True)
def main(random_seed, te... |
class WildernessExit(DefaultExit):
def wilderness(self):
return self.location.wilderness
def mapprovider(self):
return self.wilderness.mapprovider
def at_traverse_coordinates(self, traversing_object, current_coordinates, new_coordinates):
return True
def at_traverse(self, travers... |
def attach(parser):
add_input(parser, pages=False)
parser.add_argument('--output', '-o', required=True, type=Path, help='Target path for the new document')
parser.add_argument('--rows', '-r', type=int, required=True, help='Number of rows (horizontal tiles)')
parser.add_argument('--cols', '-c', type=int,... |
def test_add_ord_range_2() -> None:
assert (add_ord_range([(1, 2), (11, 12)], (5, 6)) == [(1, 2), (5, 6), (11, 12)])
assert (add_ord_range([(1, 2), (11, 12)], (3, 6)) == [(1, 6), (11, 12)])
assert (add_ord_range([(1, 2), (11, 12)], (2, 6)) == [(1, 6), (11, 12)])
assert (add_ord_range([(1, 2), (11, 12)],... |
class LocationLimit(IntEnum):
__slots__ = ()
MIN_CHAT_LOCATION_ADDRESS = 1
MAX_CHAT_LOCATION_ADDRESS = 64
HORIZONTAL_ACCURACY = 1500
MIN_HEADING = 1
MAX_HEADING = 360
MIN_LIVE_PERIOD = 60
MAX_LIVE_PERIOD = 86400
MIN_PROXIMITY_ALERT_RADIUS = 1
MAX_PROXIMITY_ALERT_RADIUS = 100000 |
class UtilRegexHandler(BaseHandler):
async def get(self):
Rtv = {}
try:
data = self.get_argument('data', '')
p = self.get_argument('p', '')
temp = {}
ds = re.findall(p, data, re.IGNORECASE)
for cnt in range(0, len(ds)):
temp... |
def version_info():
import importlib
def update_version_info(version_info, library):
if importlib.util.find_spec(library):
version = importlib.import_module(library).__version__
else:
version = 'not installed'
version_info[library] = version
version_info = {'p... |
def _create_selecsls(variant, pretrained, **kwargs):
cfg = {}
feature_info = [dict(num_chs=32, reduction=2, module='stem.2')]
if variant.startswith('selecsls42'):
cfg['block'] = SelecSLSBlock
cfg['features'] = [(32, 0, 64, 64, True, 2), (64, 64, 64, 128, False, 1), (128, 0, 144, 144, True, 2... |
class ModelHandler(object):
def __init__(self, config):
self._train_loss = AverageMeter()
self._dev_loss = AverageMeter()
if (config['task_type'] == 'classification'):
self._train_metrics = {'nloss': AverageMeter(), 'acc': AverageMeter()}
self._dev_metrics = {'nloss':... |
def _migrate_v21(data: dict) -> dict:
game_modifications = data['game_modifications']
for game in game_modifications:
game_name = game['game']
if (game_name != 'dread'):
continue
dock_weakness = game.get('dock_weakness')
if (dock_weakness is None):
continu... |
class WizardOTPDialogBase(WizardDialog):
def get_otp(self):
otp = self.ids.otp.text
if (len(otp) != 6):
return
try:
return int(otp)
except:
return
def on_text(self, dt):
self.ids.next.disabled = (self.get_otp() is None)
def on_enter... |
class BasicBlock3d(nn.Module):
expansion = 1
def __init__(self, inplanes, planes, spatial_stride=1, temporal_stride=1, dilation=1, downsample=None, style='pytorch', inflate=True, inflate_style='3x1x1', non_local=False, non_local_cfg=dict(), conv_cfg=dict(type='Conv3d'), norm_cfg=dict(type='BN3d'), act_cfg=dict(... |
class OptionSchema(marshmallow.Schema):
param_decls = OptionNameField(data_key='name', metadata={'description': 'Name of the option. Usually prefixed with - or --.'})
type = TypeField(metadata={'description': f"Name of the type. {', '.join(TYPES)} accepted."})
is_flag = fields.Boolean(default=False, metadat... |
def test_render_debug_better_error_message_recursion_error() -> None:
io = BufferedIO()
io.set_verbosity(Verbosity.DEBUG)
try:
recursion.recursion_error()
except RecursionError as e:
trace = ExceptionTrace(e)
lineno = 83
trace.render(io)
expected = f'''^
Stack trace:
\d+ ... |
class ElixirOpenIdConnect(OpenIdConnectAuth):
name = 'elixir'
OIDC_ENDPOINT = '
EXTRA_DATA = [('expires_in', 'expires_in', True), ('refresh_token', 'refresh_token', True), ('id_token', 'id_token', True), ('other_tokens', 'other_tokens', True)]
DEFAULT_SCOPE = ['openid', 'email']
JWT_DECODE_OPTIONS =... |
def two_way_teleporter_connections(rng: Random, teleporter_database: tuple[(TeleporterHelper, ...)], between_areas: bool) -> TeleporterConnection:
if ((len(teleporter_database) % 2) != 0):
raise ValueError('Two-way teleporter shuffle, but odd number of teleporters to shuffle.')
if between_areas:
... |
class GCNLayer(nn.Module):
def __init__(self, input_dim: int, output_dim: int, A: torch.Tensor):
super(GCNLayer, self).__init__()
self.A = A
self.BN = nn.BatchNorm1d(input_dim)
self.Activition = nn.LeakyReLU()
self.sigma1 = torch.nn.Parameter(torch.tensor([0.1], requires_grad... |
def logdir2df(logdir):
if issubclass(type(logdir), Path):
logdir = str(logdir)
ea = EventAccumulator(path=logdir)
ea.Reload()
scalar_tags = ea.Tags()['scalars']
dfs = {}
for scalar_tag in scalar_tags:
dfs[scalar_tag] = pd.DataFrame(ea.Scalars(scalar_tag), columns=['wall_time', 's... |
class FakeStatResult():
def __init__(self, is_windows: bool, user_id: int, group_id: int, initial_time: Optional[float]=None):
self.st_mode: int = 0
self.st_ino: Optional[int] = None
self.st_dev: int = 0
self.st_nlink: int = 0
self.st_uid: int = user_id
self.st_gid: i... |
def _init_weights(module, name=None, head_init_scale=1.0):
if isinstance(module, nn.Conv2d):
trunc_normal_(module.weight, std=0.02)
if (module.bias is not None):
nn.init.zeros_(module.bias)
elif isinstance(module, nn.Linear):
trunc_normal_(module.weight, std=0.02)
nn.... |
class UrlFetcher(BinFetcher):
def __fetch_impl__(self, bin_info, bin_file):
self.app.print('DL {}'.format(bin_file))
if ('url' not in bin_info):
raise Exception('Missing URL for bin')
download_url = bin_info['url']
self.app.detail(download_url)
urllib.request.urlr... |
def fold_high_bias_next_conv_qt(activation_is_relu, beta, gamma, weight, bias_curr_layer, bias_prev_layer):
curr_layer_bias = bias_curr_layer
prev_layer_bias = bias_prev_layer
if (not activation_is_relu):
absorb_bias = beta
else:
abs_gamma = np.abs(gamma)
absorb_bias = np.maximum... |
def get_reorient_poses(env):
if env._real:
bounds = ((0.15, (- 0.5), (env.TABLE_OFFSET + 0.001)), (0.3, (- 0.35), (env.TABLE_OFFSET + 0.001)))
else:
bounds = ((0.25, (- 0.55), (env.TABLE_OFFSET + 0.001)), (0.75, (- 0.25), (env.TABLE_OFFSET + 0.001)))
if 0:
pp.draw_aabb(bounds)
XY... |
class InitiatorMixin():
address_to_client: dict
block_number: BlockNumber
def __init__(self):
super().__init__()
self.used_secrets: Set[Secret] = set()
self.processed_secret_request_secrethashes: Set[SecretHash] = set()
self.initiated: Set[Secret] = set()
def _available_a... |
.pydicom
def test_copy():
dont_change_string = "don't change me"
to_be_changed_string = 'do change me'
new_manufacturer = 'george'
dataset_to_be_copied = dicom_dataset_from_dict({'Manufacturer': dont_change_string})
dataset_to_be_viewed = dicom_dataset_from_dict({'Manufacturer': to_be_changed_string... |
def pooling_type_to_pooling_mode(pooling_type: PoolingType) -> PoolingMode:
if (pooling_type.value == PoolingType.SUM.value):
return PoolingMode.SUM
elif (pooling_type.value == PoolingType.MEAN.value):
return PoolingMode.MEAN
elif (pooling_type.value == PoolingType.NONE.value):
retur... |
def eval_one_epoch(cfg, model, dataloader, epoch_id, logger, dist_test=False, save_to_file=False, result_dir=None):
result_dir.mkdir(parents=True, exist_ok=True)
final_output_dir = ((result_dir / 'final_result') / 'data')
if save_to_file:
final_output_dir.mkdir(parents=True, exist_ok=True)
metri... |
def test_majorana_operator_divide():
a = (MajoranaOperator((0, 1, 5), 1.5) + MajoranaOperator((1, 2, 7), (- 0.5)))
assert ((a / 2).terms == {(0, 1, 5): 0.75, (1, 2, 7): (- 0.25)})
a /= 2
assert (a.terms == {(0, 1, 5): 0.75, (1, 2, 7): (- 0.25)})
with pytest.raises(TypeError):
_ = (a / 'a')
... |
def qflags_key(base: Type[sip.simplewrapper], value: _EnumValueType, klass: Type[_EnumValueType]=None) -> str:
if (klass is None):
klass = value.__class__
if (klass == int):
raise TypeError("Can't guess enum class of an int!")
if (not value):
return qenum_key(base, value, kla... |
def generate_texture_mipmaps(target):
if (isinstance(target, Texture) and (target.dim == 2) and (target.size[2] > 1)):
for i in range(target.size[2]):
generate_texture_mipmaps(GfxTextureView(target, layer_range=(i, (i + 1))))
return
if isinstance(target, Texture):
texture = t... |
(Infraction)
class InfractionAdmin(admin.ModelAdmin):
fieldsets = (('Members', {'fields': ('user', 'actor')}), ('Action', {'fields': ('type', 'hidden', 'active')}), ('Dates', {'fields': ('inserted_at', 'expires_at')}), ('Reason', {'fields': ('reason',)}))
readonly_fields = ('user', 'actor', 'type', 'inserted_at... |
def model_with_reused_layer():
relu = tf.keras.layers.ReLU()
inp = tf.keras.layers.Input(shape=(5,))
x = relu(inp)
x = tf.keras.layers.Dense(units=2)(x)
x = relu(x)
x = tf.keras.layers.Softmax()(x)
model = tf.keras.Model(inputs=inp, outputs=x, name='model_with_reused_layer')
return model |
def given(name: (str | StepParser), converters: (dict[(str, Callable[([str], Any)])] | None)=None, target_fixture: (str | None)=None, stacklevel: int=1) -> Callable[([Callable[(P, T)]], Callable[(P, T)])]:
return step(name, GIVEN, converters=converters, target_fixture=target_fixture, stacklevel=stacklevel) |
def test():
if (implementation.name != 'circuitpython'):
print()
print('This demo is for CircuitPython only!')
exit()
try:
cs_pin = DigitalInOut(board.P0_15)
dc_pin = DigitalInOut(board.P0_17)
rst_pin = DigitalInOut(board.P0_20)
spi = SPI(clock=board.P0_24... |
class main(list):
def __init__(self, campaign, mod, project_id):
global campaign_list
global module
campaign_list = campaign
if (mod is not None):
module = mod
i = cmd_main()
i.prompt = (((((('(' + cmd2.ansi.style('Overlord', fg=Fg.RED, bg=None, bold=True,... |
class InlineTest(unittest.TestCase):
def setUp(self):
super().setUp()
self.project = testutils.sample_project()
self.pycore = self.project.pycore
self.mod = testutils.create_module(self.project, 'mod')
self.mod2 = testutils.create_module(self.project, 'mod2')
def tearDown... |
class InvertedResidual(nn.Module):
def __init__(self, inp, oup, stride, expand_ratio, dilation=1):
super(InvertedResidual, self).__init__()
self.stride = stride
self.use_res_connect = ((self.stride == 1) and (inp == oup))
padding = (2 - stride)
if (dilation > 1):
... |
def test_td(dataloader, model, loss_fn):
size = len(dataloader.dataset)
num_batches = len(dataloader)
model.eval()
(test_loss, correct) = (0, 0)
with torch.no_grad():
for batch in dataloader:
(X, y) = (batch['images'].contiguous(), batch['targets'].contiguous())
pred ... |
def test_system_task_crash_ExceptionGroup() -> None:
async def crasher1() -> NoReturn:
raise KeyError
async def crasher2() -> NoReturn:
raise ValueError
async def system_task() -> None:
async with _core.open_nursery() as nursery:
nursery.start_soon(crasher1)
n... |
def _n(solver, partInfo, subname, shape, retAll=False):
if (not solver):
if ((not utils.isPlanar(shape)) and (not utils.isCylindricalPlane(shape))):
return 'an edge or face with a planar or cylindrical surface'
if utils.isDraftWire(partInfo):
logger.warn(translate('asm3', 'Us... |
class RayRetriever():
def __init__(self):
self.initialized = False
def create_rag_retriever(self, config, question_encoder_tokenizer, generator_tokenizer, index):
if (not self.initialized):
self.retriever = RagRetriever(config, question_encoder_tokenizer=question_encoder_tokenizer, g... |
class PlPgsqlLexer(PostgresBase, RegexLexer):
name = 'PL/pgSQL'
aliases = ['plpgsql']
mimetypes = ['text/x-plpgsql']
url = '
version_added = '1.5'
flags = re.IGNORECASE
tokens = {name: state[:] for (name, state) in PostgresLexer.tokens.items()}
for (i, pattern) in enumerate(tokens['root'... |
def learn_embeddings(split=10):
_data = (args.rescale * utils.load_emb(args.temp_dir, args.data_name, args.pre_train_path, int((args.dimensions / 2)), config['nodes']))
_network = tdata.TensorDataset(t.LongTensor(np.vstack([pickle.load(open((((args.temp_dir + args.data_name) + '_input.p.') + str(i)))) for i in ... |
(7)
def real_code(source):
collector = codeanalyze.ChangeCollector(source)
for (start, end, matchgroups) in ignored_regions(source):
if (source[start] == '#'):
replacement = (' ' * (end - start))
elif ('f' in matchgroups.get('prefix', '').lower()):
replacement = None
... |
.end_to_end()
.parametrize('definition', [" = PythonNode(value=data['dependency'], hash=True)", ": Annotated[Any, PythonNode(value=data['dependency'], hash=True)]"])
def test_task_with_hashed_python_node(runner, tmp_path, definition):
source = f'''
import json
from pathlib import Path
from pytask import... |
def _parse_panond(fbuf):
component_info = {}
dict_levels = [component_info]
lines = fbuf.read().splitlines()
for i in range(0, (len(lines) - 1)):
if (lines[i] == ''):
continue
indent_lvl_1 = ((len(lines[i]) - len(lines[i].lstrip(' '))) // 2)
indent_lvl_2 = ((len(lines... |
class TwitterShell(Action):
def render_prompt(self, prompt):
prompt = prompt.strip("'").replace("\\'", "'")
for colour in ansi.COLOURS_NAMED:
if (('[%s]' % colour) in prompt):
prompt = prompt.replace(('[%s]' % colour), ansiFormatter.cmdColourNamed(colour))
prompt ... |
class _buffer_reader():
def __init__(self, buffer):
self.buffer = buffer
def __call__(self, _, position, p_buf, size):
c_buf = ctypes.cast(p_buf, ctypes.POINTER((ctypes.c_char * size)))
self.buffer.seek(position)
self.buffer.readinto(c_buf.contents)
return 1 |
class TextEncoder(torch.nn.Module):
def __init__(self, bert_model, word_embedding_dim, num_attention_heads, query_vector_dim, dropout_rate, enable_gpu=True):
super(TextEncoder, self).__init__()
self.bert_model = bert_model
self.dropout_rate = dropout_rate
self.multihead_attention = M... |
def test_scene_to_pixmap_exporter_default_size_and_margin(view):
item1 = BeePixmapItem(QtGui.QImage(100, 100, QtGui.QImage.Format.Format_RGB32))
item1.setPos(QtCore.QPointF(0, 0))
view.scene.addItem(item1)
item2 = BeePixmapItem(QtGui.QImage(100, 100, QtGui.QImage.Format.Format_RGB32))
item1.setPos(Q... |
.parametrize('username,password', users)
.parametrize('project_id', projects)
def test_create_email(db, client, username, password, project_id):
client.login(username=username, password=password)
url = reverse(urlnames['list'], args=[project_id])
data = {'email': '', 'role': 'guest'}
response = client.p... |
def test_parametrize_with_shared(testdir):
testdir.makepyfile("\n import pytest\n from pytest import fixture\n from pytest_describe import behaves_like\n\n def a_duck():\n def it_quacks(sound):\n assert sound == int(sound)\n\n\n .parametrize('foo', (1, 2,... |
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