code stringlengths 281 23.7M |
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def print_exclusion_list():
current = ops.env.get(ops.survey.EXCLUDE, addr='')
if (current is not None):
current = json.loads(current)
if (len(current[0]) == 0):
disp = None
else:
disp = []
for i in current:
disp.append([i])
if (cur... |
class CellAlignment():
def __init__(self, left, right, left_orientations, right_orientations, left_unique_id, right_unique_id):
self.left = left
self.right = right
left = left.copy()
right = right.copy()
if (not isinstance(left_orientations, str)):
left['mm_o'] = ... |
def artist_space_transforms(word):
new_wordlist = []
if (' ' in word):
if Config.ARTIST_SPLIT_BY_WORD:
new_wordlist.extend(word.split(' '))
new_wordlist.append(word.replace(' ', ''))
if (Config.ARTIST_SPACE_REPLACEMENT and Config.SPACE_REPLACEMENT_CHARSET):
for ch... |
def train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq, neptune=None):
model.train()
metric_logger = utils.MetricLogger(delimiter=' ')
metric_logger.add_meter('lr', utils.SmoothedValue(window_size=1, fmt='{value:.6f}'))
header = 'Epoch: [{}]'.format(epoch)
lr_scheduler = None
... |
def action_detection(sentence, role):
action_all = []
action = {}
entity_all = json.load(open('entity_all.txt', 'r', encoding='utf-8'), strict=False)
for slot in entity_all.keys():
values = re.sub('\\s', '', entity_all[('' + slot)]).split(',')
for value in values:
if re.finda... |
class GCSMirrorConfig(BaseModelExtended):
bucket_uri: str
('bucket_uri')
def check_uri_format(cls, value: str):
if (not value.startswith('gs://')):
raise ValueError(f'Got invalid value "{value}" for bucket_uri. Expected a URI that starts with "gs://".')
return value |
def parse_args():
parser = argparse.ArgumentParser(description='MMAction2 demo')
parser.add_argument('config', help='test config file path')
parser.add_argument('checkpoint', help='checkpoint file')
parser.add_argument('video', help='video file/url or rawframes directory')
parser.add_argument('label... |
(('%s.visualize_utils.mmcv.imshow' % __name__))
(('%s.visualize_utils.mmcv.imwrite' % __name__))
def test_imshow_pred_boundary(mock_imshow, mock_imwrite):
img = './tests/data/test_img1.jpg'
boundaries_with_scores = [[0, 0, 1, 0, 1, 1, 0, 1, 1]]
labels = [1]
file = tempfile.NamedTemporaryFile().name
... |
def test_constant_init():
conv_module = nn.Conv2d(3, 16, 3)
constant_init(conv_module, 0.1)
assert conv_module.weight.allclose(torch.full_like(conv_module.weight, 0.1))
assert conv_module.bias.allclose(torch.zeros_like(conv_module.bias))
conv_module_no_bias = nn.Conv2d(3, 16, 3, bias=False)
cons... |
(python=['3.8', '3.9', '3.10', '3.11', '3.12', 'pypy3'])
('installable', INSTALLABLE)
def tests(session, installable):
env = dict(JSON_SCHEMA_TEST_SUITE=str((ROOT / 'json')))
session.install('virtue', installable)
if (session.posargs and (session.posargs[0] == 'coverage')):
if ((len(session.posargs)... |
def crop(img_path, write_path, bbox, size=480, overwrite=False):
if (osp.exists(write_path) and (not overwrite)):
print(write_path, 'already exists')
return
os.makedirs(osp.join('/', *write_path.split('/')[:(- 1)]), exist_ok=True)
(crop, _) = crop_board(img_path, bbox)
if (size != 'full'... |
class Migration(migrations.Migration):
dependencies = [migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('schedule', '0045_scheduleitem_youtube_video_id')]
operations = [migrations.SeparateDatabaseAndState(database_operations=[migrations.RunSQL(sql='DROP INDEX IF EXISTS schedule_scheduleitem_additiona... |
def token_f1_score(prediction, ground_truth):
prediction_tokens = normalize_answer(prediction).split()
ground_truth_tokens = normalize_answer(ground_truth).split()
common = (Counter(prediction_tokens) & Counter(ground_truth_tokens))
num_same = sum(common.values())
if (num_same == 0):
return ... |
def parse_args(args: List[str]) -> argparse.Namespace:
parser = argparse.ArgumentParser(description='Check URLs in asciidoctor files')
parser.add_argument('--verbose', '-v', action='store_const', const=True, default=False, help='Output all found links, not only failed ones')
parser.add_argument('--timeout',... |
class EvalUnit(AppStateMixin, _OnExceptionMixin, Generic[TEvalData], ABC):
def __init__(self) -> None:
super().__init__()
self.eval_progress = Progress()
def on_eval_start(self, state: State) -> None:
pass
def on_eval_epoch_start(self, state: State) -> None:
pass
def eval... |
def get_optimizer(cfg, parameters):
optimizer = None
if (cfg.TRAIN.OPTIMIZER == 'sgd'):
optimizer = optim.SGD(parameters, lr=cfg.TRAIN.LR, momentum=cfg.TRAIN.MOMENTUM, weight_decay=cfg.TRAIN.WD, nesterov=cfg.TRAIN.NESTEROV)
elif (cfg.TRAIN.OPTIMIZER == 'adam'):
optimizer = optim.Adam(paramet... |
def get_identifications_by_id(identification_id: MultiInt, **params) -> JsonResponse:
response = get(f'{API_V1}/identifications', ids=identification_id, **params)
identifications = response.json()
identifications['results'] = convert_all_timestamps(identifications['results'])
return identifications |
class ServiceInventoryTests(unittest.TestCase):
def setUp(self):
self.mock_filewatcher = mock.Mock(spec=FileWatcher)
self.inventory = service_discovery.ServiceInventory('/whatever')
self.inventory._filewatcher = self.mock_filewatcher
def _set_inventory_contents(self, text):
parse... |
class TestCephCollectorGettingStats(CollectorTestCase):
def setUp(self):
config = get_collector_config('CephCollector', {'interval': 10})
self.collector = ceph.CephCollector(config, None)
def test_import(self):
self.assertTrue(ceph.CephCollector)
_only_if_subprocess_check_output_is_a... |
def get_hash(modname, seed=None):
'From
env = os.environ.copy()
if (seed is not None):
env['PYTHONHASHSEED'] = str(seed)
else:
env.pop('PYTHONHASHSEED', None)
cmd_line = [sys.executable, modname]
p = subprocess.Popen(cmd_line, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stder... |
class Timer():
def __init__(self, callback: SignalHandler, timer: int=TIMER, interval: float=INTERVAL_SECONDS, timer_signal: int=TIMER_SIGNAL) -> None:
assert callable(callback), 'callback must be callable'
signal.signal(timer_signal, self.callback)
signal.setitimer(timer, interval, interval... |
def raiden_state_changes_search_for_item(raiden: RaidenService, item_type: Type[SC], attributes: Mapping) -> Optional[SC]:
assert raiden.wal, 'RaidenService must be started'
for item in raiden.wal.storage.get_statechanges_by_range(RANGE_ALL_STATE_CHANGES):
if (isinstance(item, item_type) and check_neste... |
class JSONStoreDisk(ContentStore, metaclass=ABCMeta):
def __init__(self, in_folder, key, msg, msg_args) -> None:
self.in_folder = in_folder
self.key = key
self.msg = msg
self.msg_args = (*msg_args, self.file)
def file(self):
return (self.in_folder.path / f'{self.key}.json... |
class Message(object):
MSG_ARG_KEY_OPERATION = 'operation'
MSG_ARG_KEY_TYPE = 'msg_type'
MSG_ARG_KEY_SENDER = 'sender'
MSG_ARG_KEY_RECEIVER = 'receiver'
MSG_OPERATION_SEND = 'send'
MSG_OPERATION_RECEIVE = 'receive'
MSG_OPERATION_BROADCAST = 'broadcast'
MSG_OPERATION_REDUCE = 'reduce'
... |
def conv2d_same(x, weight: torch.Tensor, bias: Optional[torch.Tensor]=None, stride: Tuple[(int, int)]=(1, 1), padding: Tuple[(int, int)]=(0, 0), dilation: Tuple[(int, int)]=(1, 1), groups: int=1):
x = pad_same(x, weight.shape[(- 2):], stride, dilation)
return F.conv2d(x, weight, bias, stride, (0, 0), dilation, ... |
class RestrictedAlgoWithoutCheckSetDoNotOrderList(TradingAlgorithm):
def initialize(self, symbol):
self.rl = SecurityListSet(self.get_datetime, self.asset_finder)
self.set_do_not_order_list(self.rl.leveraged_etf_list)
self.order_count = 0
self.sid = self.symbol(symbol)
def handle... |
class ProviderOf(Generic[T]):
def __init__(self, injector: Injector, interface: Type[T]):
self._injector = injector
self._interface = interface
def __repr__(self) -> str:
return ('%s(%r, %r)' % (type(self).__name__, self._injector, self._interface))
def get(self) -> T:
return... |
def optlist_to_menuoptions(treestr, optlist, index, mark_category, go_back):
menuoptions = []
cur_index = 0
for option in optlist:
index_to_add = optlist[cur_index][0]
menuitem = {}
keystr = index_to_selection(treestr, index_to_add)
if (mark_category and is_category(treestr, ... |
def test_model_update() -> None:
from pynamodb.attributes import NumberAttribute, UnicodeAttribute
from pynamodb.models import Model
class MyModel(Model):
my_attr = NumberAttribute()
my_str_attr = UnicodeAttribute()
my_model = MyModel()
my_model.update(actions=[MyModel.my_attr.set((M... |
(QuestionSet)
class QuestionSetAdmin(admin.ModelAdmin):
form = QuestionSetAdminForm
inlines = (QuestionSetQuestionSetInline, QuestionSetQuestionInline)
search_fields = ['uri', *get_language_fields('title'), *get_language_fields('help')]
list_display = ('uri', 'attribute', 'is_collection')
readonly_f... |
class GraphConvolution(nn.Module):
def __init__(self, input_dim, output_dim, support, act_func=None, featureless=False, dropout_rate=0.0, bias=False):
super(GraphConvolution, self).__init__()
self.support = support
self.featureless = featureless
for i in range(len(self.support)):
... |
def rtn_strncpy(se: 'SymbolicExecutor', pstate: 'ProcessState'):
logger.debug('strncpy hooked')
dst = pstate.get_argument_value(0)
src = pstate.get_argument_value(1)
cnt = pstate.get_argument_value(2)
pstate.concretize_argument(2)
for index in range(cnt):
src_sym = pstate.read_symbolic_m... |
class F19_NetworkData(F16_NetworkData):
removedKeywords = F16_NetworkData.removedKeywords
removedAttrs = F16_NetworkData.removedAttrs
def __init__(self, *args, **kwargs):
F16_NetworkData.__init__(self, *args, **kwargs)
self.bondslaves = kwargs.get('bondslaves', '')
self.bondopts = kw... |
_module()
class FPNHead(BaseDecodeHead):
def __init__(self, feature_strides, **kwargs):
super(FPNHead, self).__init__(input_transform='multiple_select', **kwargs)
assert (len(feature_strides) == len(self.in_channels))
assert (min(feature_strides) == feature_strides[0])
self.feature_s... |
_task(constants.MULTILINGUAL_TRANSLATION_TASK)
class PyTorchTranslateMultilingualTranslationTask(PyTorchTranslateMultiTask):
def add_args(parser):
PyTorchTranslateMultiTask.add_args(parser)
parser.add_argument('--vocabulary', type=str, metavar='EXPR', action='append', help='Per-language vocabulary c... |
def test_requirement_source_fifo():
with TemporaryDirectory() as tmp_dir:
fifo_path = Path(os.path.join(tmp_dir, 'fifo'))
os.mkfifo(fifo_path)
def write_to_fifo():
with open(fifo_path, 'w') as f:
f.write('flask==2.0.1')
t = Thread(target=write_to_fifo)
... |
class FC3_HardDrive(KickstartCommand):
removedKeywords = KickstartCommand.removedKeywords
removedAttrs = KickstartCommand.removedAttrs
def __init__(self, writePriority=0, *args, **kwargs):
KickstartCommand.__init__(self, writePriority, *args, **kwargs)
self.biospart = kwargs.get('biospart', ... |
def get_all_tilted_square_lattice_specs(*, n_instances=10, n_repetitions=1000, min_side_length=2, max_side_length=8, side_length_step=2, macrocycle_depths=None, twoq_gate_name='sqrt_iswap') -> List[TiltedSquareLatticeLoschmidtSpec]:
if (macrocycle_depths is None):
macrocycle_depths = np.arange(2, (8 + 1), 2... |
class ExperimentPlanner3D_v21_32GB(ExperimentPlanner3D_v21):
def __init__(self, folder_with_cropped_data, preprocessed_output_folder):
super(ExperimentPlanner3D_v21_32GB, self).__init__(folder_with_cropped_data, preprocessed_output_folder)
self.data_identifier = 'nnFormerData_plans_v2.1_verybig'
... |
def test_accessors():
class SubTestObject():
attr_obj = 1
attr_char = 2
class TestObject():
basic_attr = 1
begin_end = [1, 2, 3]
d = {'operator[object]': 1, 'operator[char *]': 2}
sub = SubTestObject()
def func(self, x, *args):
return ((self.ba... |
def get_files(**kwargs):
metadata_directory = kwargs.get('metadata_directory', '')
package_root = kwargs.get('package_root', '')
files = []
for f in get_template_files(**kwargs):
if (str(f.path) == 'LICENSE.txt'):
files.append(File(Path(metadata_directory, 'licenses', f.path), f.cont... |
class HoverXRefBibtexDomainMixin(HoverXRefBaseDomain):
def resolve_xref(self, env, fromdocname, builder, typ, target, node, contnode):
textnode = super().resolve_xref(env, fromdocname, builder, typ, target, node, contnode)
if (textnode is None):
return textnode
if any([self._is_i... |
_on_failure
.parametrize('enable_rest_api', [True])
def test_get_notification(client, api_server_test_instance):
notification = create_notification(api_server_test_instance)
response = client.get(notifications_endpoint)
assert (response.get_json() == [{'id': notification.id, 'summary': notification.summary,... |
class PathTestCase(TestCase):
def test_document_path(self):
path = Path('foo.bar')
assert (str(path) == 'foo.bar')
assert (repr(path) == "Path(['foo', 'bar'])")
def test_attribute_name(self):
path = Path(['foo.bar'])
assert (str(path) == "'foo.bar'")
assert (repr(... |
class fileglob_t(ctypes.Structure):
class list_entry(ctypes.Structure):
_fields_ = (('le_next', POINTER64), ('le_prev', POINTER64))
_fields_ = (('f_msglist', list_entry), ('fg_flag', ctypes.c_int32), ('fg_count', ctypes.c_int32), ('fg_msgcount', ctypes.c_int32), ('fg_lflags', ctypes.c_int32), ('fg_cred'... |
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('-dataset', required=True, type=str, help='Targeting dataset.', choices=['DBLP', 'Freebase', 'PubMed', 'Yelp'])
parser.add_argument('-model', required=True, type=str, help='Targeting model.', choices=['metapath2vec-ESim', 'PTE', 'HIN2V... |
def _file_with_extension(directory, extension):
matching = (f for f in os.listdir(directory) if f.endswith(extension))
try:
(file,) = matching
except ValueError:
raise ValueError('No distribution was found. Ensure that `setup.py` is not empty and that it calls `setup()`.')
return file |
class PlaylistModel(QAbstractListModel):
def __init__(self, playlist, *args, **kwargs):
super(PlaylistModel, self).__init__(*args, **kwargs)
self.playlist = playlist
def data(self, index, role):
if (role == Qt.DisplayRole):
media = self.playlist.media(index.row())
... |
class Generator():
def __init__(self, name, is_training, ngf=64, norm='instance', image_size=128, is_dropout=False):
self.name = name
self.reuse = False
self.ngf = ngf
self.norm = norm
self.is_training = is_training
self.image_size = image_size
self.is_dropout... |
class Effect504(BaseEffect):
type = 'passive'
def handler(fit, container, context, projectionRange, **kwargs):
level = (container.level if ('skill' in context) else 1)
amount = (container.getModifiedItemAttr('droneRangeBonus') * level)
fit.extraAttributes.increase('droneControlRange', am... |
def upgrade(op, tables, tester):
op.create_index('quotanamespacesize_namespace_user_id', 'quotanamespacesize', ['namespace_user_id'], unique=True)
op.create_index('quotanamespacesize_backfill_start_ms', 'quotanamespacesize', ['backfill_start_ms'], unique=False)
op.create_index('quotanamespacesize_size_bytes... |
class Case():
def __init__(self, project, name, data=None, assert_data=None, save_data=None, del_data=None, pre_time=0, g={}, s=''):
self.name = name
self.g = g
self.interface = interf(name, project, self.g)
self.data = data
self.assert_data = assert_data
self.save_da... |
def pred_analysis2(pred_json, dev_json):
ent_all = 0
ent_type_error = 0
ent_span_error = 0
ent_loss = 0
ent_add = 0
for (preds, dev) in zip(pred_json, dev_json):
pred: dict = preds['label']
target: dict = dev['label']
entity2type = dict()
entity2span = dict()
... |
def process_compound_tables(c, filenames, reporter):
start_time = time.time()
reporter.report('[Stage 1/7] Merging compound records ...')
create_compound_table(c)
for (db_id, progress_str, filename) in enumerate_progress(filenames):
with transaction(c):
create_compound_map_table(c, d... |
class Speech2Text2Tokenizer(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, bos_token=... |
class CheckpointManagerConstructor(typing_extensions.Protocol):
def __call__(self, directory: str, train_state: train_state_lib.TrainState, partitioner: partitioning.BasePartitioner, dataset_iterator: Optional[tf.data.Iterator]=None, save_dtype: Optional[jnp.dtype]=None, restore_dtype: Optional[jnp.dtype]=None, kee... |
def match_clusters(dbscan_clusters, clf_file):
clf2dbscan = dict()
clf_cluster2phrases = defaultdict(list)
with clf_file.open('r') as f:
for line in f:
(phrase, clf_label) = line.strip().split('\t')
clf_cluster2phrases[clf_label].append(phrase)
for (clf_cluster, clf_phras... |
def upgrade_source(upgrade_package_names: Set[str], verbose: bool=False, dry_run: bool=False, pre: bool=False) -> None:
packages_to_sources = _get_sources_for_packages(upgrade_package_names, TargetType.ALL)
_newline = '\n - '
missing_packages = (upgrade_package_names - packages_to_sources.keys())
if mi... |
class VyperLexer(RegexLexer):
name = 'Vyper'
aliases = ['vyper']
filenames = ['*.vy']
url = '
version_added = '2.17'
tokens = {'root': [('\\s+', Whitespace), ('(\\\\)(\\n|\\r\\n|\\r)', bygroups(Text, Whitespace)), ('#.*$', Comment.Single), ('\\"\\"\\"', Comment.Multiline, 'multiline-comment'), (... |
class TradeHandler(object):
def __init__(self, part_a, part_b):
self.part_a = part_a
self.part_b = part_b
self.part_a.cmdset.add(CmdsetTrade())
self.trade_started = False
self.part_a.ndb.tradehandler = self
self.part_a_offers = []
self.part_b_offers = []
... |
class Compare(NodeNG):
_astroid_fields = ('left', 'ops')
left: NodeNG
ops: list[tuple[(str, NodeNG)]]
def postinit(self, left: NodeNG, ops: list[tuple[(str, NodeNG)]]) -> None:
self.left = left
self.ops = ops
def get_children(self):
(yield self.left)
for (_, comparato... |
def get_model_name(factory_class: FactoryType) -> str:
model_cls = factory_class._meta.model
if isinstance(model_cls, str):
return model_cls
model_name = inflection.underscore(model_cls.__name__)
if (model_cls in WARN_FOR_MODEL_TYPES):
warnings.warn(f'''Using a {model_cls} as model type ... |
class TestWindow(pyglet.window.Window):
def __init__(self, *args, **kwargs):
super(TestWindow, self).__init__(*args, **kwargs)
self.batch = pyglet.graphics.Batch()
self.document = pyglet.text.decode_attributed(doctext)
for i in [element_index]:
self.document.insert_elemen... |
class AI():
def __init__(self, bot_user: discord.Member, symbol: str):
self.user = bot_user
self.symbol = symbol
async def get_move(board: dict[(int, str)], _: discord.Message) -> tuple[(bool, int)]:
possible_moves = [i for (i, emoji) in board.items() if (emoji in list(Emojis.number_emoj... |
class TMP4Freeform(TestCase):
def test_cmp(self):
self.assertReallyEqual(MP4FreeForm(b'woooo', 142, 42), MP4FreeForm(b'woooo', 142, 42))
self.assertReallyNotEqual(MP4FreeForm(b'woooo', 142, 43), MP4FreeForm(b'woooo', 142, 42))
self.assertReallyNotEqual(MP4FreeForm(b'woooo', 143, 42), MP4Free... |
class RandomProcedure(Procedure):
iterations = IntegerParameter('Loop Iterations', default=100)
delay = FloatParameter('Delay Time', units='s', default=0.001)
seed = Parameter('Random Seed', default='12345')
DATA_COLUMNS = ['Iteration', 'Random Number']
def startup(self):
random.seed(self.se... |
def test_first_mark_class(item_names_for):
tests_content = '\n import pytest\n\n def test_1(): pass\n\n\n .order("first")\n class TestSuite:\n\n def test_3(self): pass\n\n def test_2(self): pass\n\n '
assert (item_names_for(tests_content) == ['TestSuite::... |
def test_mesh_generation():
from solcore.sesame_drift_diffusion.process_structure import make_mesh
from solcore import material, si
from solcore.structure import Junction, Layer
from solcore.state import State
GaAs_n = material('GaAs')()
GaAs_p = material('GaAs')()
options = State(minimum_sp... |
def distributed_all_gather(tensor_list, valid_batch_size=None, out_numpy=False, world_size=None, no_barrier=False, is_valid=None):
if (world_size is None):
world_size = torch.distributed.get_world_size()
if (valid_batch_size is not None):
valid_batch_size = min(valid_batch_size, world_size)
... |
def test_normal_queue_implicit_top_module(do_test):
def tv_in(m, tv):
m.enq_en = Bits1(tv[0])
m.enq_msg = Bits32(tv[1])
m.deq_en = Bits1(tv[3])
def tv_out(m, tv):
if (tv[2] != '*'):
assert (m.enq_rdy == Bits1(tv[2]))
if (tv[4] != '*'):
assert (m.de... |
class EvalUtilTest(tf.test.TestCase):
def test_load_categories_from_csv_file(self):
csv_data = '\n 0,"cat"\n 1,"dog"\n 2,"bird"\n '.strip(' ')
csv_path = os.path.join(self.get_temp_dir(), 'test.csv')
with tf.gfile.Open(csv_path, 'wb') as f:
f.write(csv_dat... |
class BaseProgressBar(object):
def __init__(self, iterable, epoch=None, prefix=None):
self.iterable = iterable
self.n = getattr(iterable, 'n', 0)
self.epoch = epoch
self.prefix = ''
if (epoch is not None):
self.prefix += 'epoch {:03d}'.format(epoch)
if (pr... |
def is_transaction_invalidated(transaction: ContractSendEvent, state_change: StateChange) -> bool:
is_our_failed_update_transfer = (isinstance(state_change, ContractReceiveChannelSettled) and isinstance(transaction, ContractSendChannelUpdateTransfer) and (state_change.token_network_address == transaction.token_netw... |
class MobileNetV2(nn.Module):
def __init__(self, num_classes, loss={'xent'}, **kwargs):
super(MobileNetV2, self).__init__()
self.loss = loss
self.conv1 = ConvBlock(3, 32, 3, s=2, p=1)
self.block2 = Bottleneck(32, 16, 1, 1)
self.block3 = nn.Sequential(Bottleneck(16, 24, 6, 2),... |
_torch
_retrieval
class RagDPRBartTest(RagTestMixin, unittest.TestCase):
_property
def config_and_inputs(self):
question_encoder_tester = DPRModelTester(self)
dpr_config_and_inputs = question_encoder_tester.prepare_config_and_inputs()
generator_tester = BartModelTester(self)
bart... |
def test_all_migrations(tmpfile):
io = SQLiteIO(tmpfile, MagicMock(), create_new=True)
io.ex('PRAGMA user_version=1')
io.ex('\n CREATE TABLE items (\n id INTEGER PRIMARY KEY,\n type TEXT NOT NULL,\n x REAL DEFAULT 0,\n y REAL DEFAULT 0,\n z REAL DEFAULT 0,... |
('pypyr.moduleloader.get_module')
def test_foreach_evaluates_swallow_decorator(mock_moduleloader):
step = Step({'name': 'step1', 'swallow': '{dynamic_swallow_expression}', 'foreach': ['{key1}', '{key2}', 'key3']})
context = get_test_context()
context['dynamic_swallow_expression'] = False
original_len = ... |
class ImageOp(Enum):
SHEAR_X = auto()
SHEAR_Y = auto()
TRANSLATE_X = auto()
TRANSLATE_Y = auto()
ROTATE = auto()
AUTO_CONTRAST = auto()
INVERT = auto()
EQUALIZE = auto()
SOLARIZE = auto()
POSTERIZE = auto()
CONTRAST = auto()
COLOR = auto()
BRIGHTNESS = auto()
SHAR... |
def init_fake_app() -> None:
from quodlibet import app
from quodlibet import browsers
from quodlibet.player.nullbe import NullPlayer
from quodlibet.library import SongFileLibrary
from quodlibet.library.librarians import SongLibrarian
from quodlibet.qltk.quodlibetwindow import QuodLibetWindow, Pl... |
def delete_substructure_at_idx(editmol, atom_idx_lst):
edit_smiles = Chem.MolToSmiles(editmol)
new_mol = Chem.RWMol(Chem.MolFromSmiles(''))
old_idx2new_idx = dict()
for atom in editmol.GetAtoms():
old_idx = atom.GetIdx()
if (old_idx in atom_idx_lst):
continue
new_atom... |
class TestActivity():
def testHasNoIntentFilter(SAMPLE_PATH_14d9f):
activity = getActivities(SAMPLE_PATH_14d9f)[0]
assert (activity.hasIntentFilter() is False)
def testHasIntentFilter(SAMPLE_PATH_13667):
activity = getActivities(SAMPLE_PATH_13667)[0]
assert (activity.hasIntentFil... |
class TestDecoderRNN(unittest.TestCase):
def setUpClass(self):
self.vocab_size = 100
self.batch = None
def test_input_dropout_WITH_PROB_ZERO(self):
rnn = DecoderRNN(self.vocab_size, 50, 16, 0, 1, input_dropout_p=0)
for param in rnn.parameters():
param.data.uniform_((-... |
class SawyerShelfPlaceV1Policy(Policy):
_fully_parsed
def _parse_obs(obs):
return {'hand_pos': obs[:3], 'block_pos': obs[3:6], 'shelf_x': obs[(- 3)], 'unused_info': obs[[6, 7, 8, 10, 11]]}
def get_action(self, obs):
o_d = self._parse_obs(obs)
action = Action({'delta_pos': np.arange(3... |
def test_class_method_containing_test_issue1558(pytester: Pytester) -> None:
pytester.makepyfile(test_foo='\n import unittest\n\n class MyTestCase(unittest.TestCase):\n def test_should_run(self):\n pass\n def test_should_not_run(self):\n pass\n ... |
class PlayTabCompleteServerBound(Packet):
id = 6
to = 0
def __init__(self, transaction_id: int, text: str) -> None:
super().__init__()
self.transaction_id = transaction_id
self.text = text
def decode(cls, buf: Buffer) -> PlayTabCompleteServerBound:
return cls(buf.unpack_v... |
class Aec(Codec):
codec_id = 'imagecodecs_aec'
def __init__(self, bitspersample=None, flags=None, blocksize=None, rsi=None):
self.bitspersample = bitspersample
self.flags = flags
self.blocksize = blocksize
self.rsi = rsi
def encode(self, buf):
return imagecodecs.aec_e... |
def main():
torch.set_num_threads(3)
if (not torch.cuda.is_available()):
logging.info('no gpu device available')
sys.exit(1)
np.random.seed(args.seed)
torch.cuda.set_device(args.gpu)
cudnn.benchmark = True
torch.manual_seed(args.seed)
cudnn.enabled = True
torch.cuda.manua... |
class VideoCaptionDataset(Dataset):
def __init__(self, transform, video_root, ann_rpath, num_frames=8, max_words=30, prompt='', pickle_path=None, i3d=False):
self.annotation = json.load(open(ann_rpath, 'r'))
if i3d:
import h5py
i3d_path = os.path.join(configs.finetune_root, '... |
def sc_decoration_hop() -> GoalDirectedBenchmark:
specification = uniform_specification(1, 10, 100)
benchmark_object = decoration_hop()
sa_biased = ScoringFunctionSAWrapper(benchmark_object.objective, SCScoreModifier())
return GoalDirectedBenchmark(name='SC_decoration_hop', objective=sa_biased, contribu... |
def create_lmdb_for_rain13k():
folder_path = './datasets/Rain13k/train/input'
lmdb_path = './datasets/Rain13k/train/input.lmdb'
(img_path_list, keys) = prepare_keys(folder_path, 'jpg')
make_lmdb_from_imgs(folder_path, lmdb_path, img_path_list, keys)
folder_path = './datasets/Rain13k/train/target'
... |
class SeparableConv2d(nn.Module):
def __init__(self, inplanes, planes, kernel_size=3, stride=1, padding=0, dilation=1, bias=False):
super(SeparableConv2d, self).__init__()
self.conv1 = nn.Conv2d(inplanes, inplanes, kernel_size, stride, padding, dilation, groups=inplanes, bias=bias)
self.poin... |
def main():
n1 = int(input())
n2 = int(input())
for i in range(n1, n2):
if (i > 1):
prime = True
for j in range(2, i):
if ((i % j) == 0):
prime = False
break
if prime:
print(i)
return True |
def test_object_from_string():
def check(name, expected):
actual = qcore.object_from_string(name)
assert_eq(expected, actual)
name = name.encode('ascii')
with AssertRaises(TypeError):
qcore.object_from_string(name)
with AssertRaises(ValueError):
qcore.object_f... |
def write_resource_database(resource_database: ResourceDatabase) -> dict:
errors: list[str] = []
for array in (resource_database.item, resource_database.event, resource_database.trick, resource_database.damage, resource_database.version, resource_database.misc):
assert isinstance(array, list)
er... |
('s1', help='Query SentinelOne')
('--site-id', help='ID of SentinelOne site to query', multiple=True, default=None)
('--account-id', help='ID of SentinelOne account to query', multiple=True, default=None)
('--account-name', help='Name of SentinelOne account to query', multiple=True, default=None)
('--creds', 'creds', h... |
_fixtures(WebFixture, FileUploadInputFixture)
def test_async_remove(web_fixture, file_upload_input_fixture):
fixture = file_upload_input_fixture
web_fixture.reahl_server.set_app(fixture.new_wsgi_app(enable_js=True))
browser = web_fixture.driver_browser
browser.open('/')
browser.type(XPath.input_labe... |
.parametrize('proc_name', ['s1', 's2', 's3'])
def test_return_value_on_failure(tcp_port, proc_name, xprocess):
class Starter(ProcessStarter):
pattern = 'started'
args = [sys.executable, server_path, tcp_port]
xprocess.ensure(proc_name, Starter)
info = xprocess.getinfo(proc_name)
assert (... |
class DicomLocationEndpoint(Resource):
parser = reqparse.RequestParser()
parser.add_argument('name', required=True, help='Name to identify this Dicom location', location=['args', 'headers', 'values'])
parser.add_argument('host', required=True, help='Dicom location host name or IP address', location=['args',... |
class GenericCopy(TimeStampedModel):
key = models.SlugField(_('slug'), max_length=200)
content = I18nTextField(_('content'), blank=False)
conference = models.ForeignKey('conferences.Conference', on_delete=models.CASCADE, verbose_name=_('conference'), related_name='copy')
def __str__(self):
retur... |
class GeoBoundingBox(BaseModel, extra='forbid'):
top_left: 'GeoPoint' = Field(..., description='Geo filter request Matches coordinates inside the rectangle, described by coordinates of lop-left and bottom-right edges')
bottom_right: 'GeoPoint' = Field(..., description='Geo filter request Matches coordinates i... |
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