code stringlengths 281 23.7M |
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def test_app_update_app(aliased_app: tuple[(str, str)]):
(app_revision, app_alias) = aliased_app
host: api.FalServerlessHost = addition_app.host
with host._connection as client:
res = client.list_aliases()
found = next(filter((lambda alias: (alias.alias == app_alias)), res), None)
as... |
def test_accessors():
name = 'some_name'
address = 'some_address'
public_key = 'some_public_key'
identity = Identity(name, address=address, public_key=public_key)
assert (identity.name == name)
assert (identity.address == address)
assert (identity.addresses == {DEFAULT_LEDGER: address})
... |
def attendee_confirm_email(request, event_slug, attendee_id, token):
attendee = Attendee.objects.get(pk=attendee_id)
title = _('Email verification')
message = _("We've sent you your ticket to your email! In case it doesn't arrive, don't worry! You're already registered and we'll ask for your email a... |
def send_to_erpnext(employee_field_value, timestamp, device_id=None, log_type=None):
endpoint_app = ('hrms' if (ERPNEXT_VERSION > 13) else 'erpnext')
url = f'{config.ERPNEXT_URL}/api/method/{endpoint_app}.hr.doctype.employee_checkin.employee_checkin.add_log_based_on_employee_field'
headers = {'Authorization... |
class OptionPlotoptionsWindbarbDatagrouping(Options):
def anchor(self):
return self._config_get(start)
def anchor(self, value: Any):
self._config(value, js_type=False)
def approximation(self):
return self._config_get('windbarb')
def approximation(self, text: str):
self._c... |
class AgenciesFinancialBalancesViewSet(CachedDetailViewSet):
endpoint_doc = 'usaspending_api/api_contracts/contracts/v2/financial_balances/agencies.md'
serializer_class = AgenciesFinancialBalancesSerializer
def get_queryset(self, pk=None):
json_request = self.request.query_params
fiscal_year... |
def downgrade():
op.drop_index(op.f('ix_workspace_users_updated_at'), table_name='workspace_users')
op.drop_index(op.f('ix_workspace_users_created_at'), table_name='workspace_users')
op.drop_table('workspace_users')
op.drop_index(op.f('ix_admin_api_key_updated_at'), table_name='admin_api_key')
op.dr... |
class OptionPlotoptionsPyramidSonificationContexttracksMappingFrequency(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, text: str):
... |
('ecs_deploy.cli.get_client')
def test_deploy_one_new_docker_laberl(get_client, runner):
get_client.return_value = EcsTestClient('acces_key', 'secret_key')
result = runner.invoke(cli.deploy, (CLUSTER_NAME, SERVICE_NAME, '-d', 'application', 'foo', 'bar', '-d', 'webserver', 'foo', 'baz'))
assert (result.exit... |
class ImplicitronOptimizerFactory(OptimizerFactoryBase):
betas: Tuple[(float, ...)] = (0.9, 0.999)
breed: str = 'Adam'
exponential_lr_step_size: int = 250
gamma: float = 0.1
lr: float = 0.0005
lr_policy: str = 'MultiStepLR'
momentum: float = 0.9
multistep_lr_milestones: tuple = ()
we... |
def register_services(hass: HomeAssistant, homeconnect: HomeConnect) -> Services:
services = Services(hass, homeconnect)
select_program_schema = vol.Schema({vol.Required('device_id'): cv.string, vol.Required('program_key'): cv.string, vol.Optional('validate', default=True): cv.boolean, vol.Optional('options'): ... |
class OptionPlotoptionsFunnel3dSonificationContexttracksMappingVolume(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, text: str):
... |
def handle_segment(db, segname, bitdata, decode_emit, decode_omit, omit_empty_segs, segments, bit_only=False, verbose=False):
seginfo = segments[segname]
segbits = mk_segbits(seginfo, bitdata)
nbits = len(segbits)
if (decode_emit or decode_omit):
segtags = seg_decode(db, seginfo, segbits, segmen... |
class OptionSeriesPolygonSonificationDefaultinstrumentoptions(Options):
def activeWhen(self) -> 'OptionSeriesPolygonSonificationDefaultinstrumentoptionsActivewhen':
return self._config_sub_data('activeWhen', OptionSeriesPolygonSonificationDefaultinstrumentoptionsActivewhen)
def instrument(self):
... |
class TestUpdateGenericHook(unittest.TestCase):
def test_init_event_update_generic_hook(self) -> None:
dummy_obj = DummyInstance('//fbsource')
self.assertEqual(dummy_obj.output_path, '//fbsource:output')
self.assertEqual(dummy_obj.storage, '//fbsource:storage')
def test_update_event_upda... |
class ColReorder(Options):
def activate(self):
self.realtime = True
return self
def enable(self):
return self._config_get()
def enable(self, val):
self._config(val)
def fixedColumnsLeft(self):
return self._config_get()
def fixedColumnsLeft(self, val):
... |
class TestValidateRstrippedStrTests():
def test_with_trailing_slash(self):
result = config._validate_rstripped_str('this/should/be/rstripped/')
assert (result == 'this/should/be/rstripped')
def test_without_trailing_slash(self):
result = config._validate_rstripped_str('this/should/stay/t... |
def test_chroma_db_collection_parallel_collections():
db1 = ChromaDB(config=ChromaDbConfig(allow_reset=True, dir='test-db', collection_name='test_collection_1'))
app1 = App(config=AppConfig(collect_metrics=False), db=db1)
db2 = ChromaDB(config=ChromaDbConfig(allow_reset=True, dir='test-db', collection_name=... |
class CmdLookBridge(Command):
key = 'look'
aliases = ['l']
locks = 'cmd:all()'
help_category = 'TutorialWorld'
def func(self):
caller = self.caller
bridge_position = self.caller.db.tutorial_bridge_position
location = self.obj
message = ('|c%s|n\n%s\n%s' % (location.ke... |
_validator
def validate_override_builds(request, **kwargs):
nvrs = splitter(request.validated['nvr'])
db = request.db
if (not nvrs):
request.errors.add('body', 'nvr', 'A comma-separated list of NVRs is required.')
return
if ((len(nvrs) != 1) and request.validated['edited']):
requ... |
class OptionSeriesOrganizationSonificationDefaultinstrumentoptionsMappingLowpassResonance(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(... |
class CoconutInternalException(CoconutException):
def message(self, *args, **kwargs):
base_msg = super(CoconutInternalException, self).message(*args, **kwargs)
if ('\n' in base_msg):
return ((base_msg + '\n') + report_this_text)
else:
return ((base_msg + ' ') + report... |
def de_bruijn(alphabet: str, n: int) -> str:
k = len(alphabet)
a = (([0] * k) * n)
def db(t, p):
if (t > n):
if ((n % p) == 0):
for j in range(1, (p + 1)):
(yield alphabet[a[j]])
else:
a[t] = a[(t - p)]
(yield from db((t... |
class TestIrisAx():
def arg_builder(monkeypatch):
with monkeypatch.context() as m:
m.setattr(sys, 'argv', ['', '--config', './tests/conf/yaml/test_optuna.yaml'])
ax_config = AxTunerConfig(name='Iris Logistic Regression Tests', minimize=False, objective_name='accuracy')
co... |
def upgrade():
session = sa.orm.sessionmaker(bind=op.get_bind())()
session.execute('\n UPDATE build SET source_status = 1 WHERE source_status is NULL;\n UPDATE build SET source_status = 0 WHERE id IN (\n SELECT build.id FROM build\n LEFT OUTER JOIN build_chroot\n O... |
def mock_gpgcheck_activated_fail_state_2(self, cmd):
if ('yum.conf' in cmd):
output = ['gpgcheck=1']
error = ['']
returncode = 0
elif ('yum.repos.d' in cmd):
output = ['base does not have gpgcheck enabled']
error = ['']
returncode = 0
return SimpleNamespace(st... |
class AdsImageCrops(AbstractObject):
def __init__(self, api=None):
super(AdsImageCrops, self).__init__()
self._isAdsImageCrops = True
self._api = api
class Field(AbstractObject.Field):
field_100x100 = '100x100'
field_100x72 = '100x72'
field_191x100 = '191x100'
... |
class XGBoostForestTransformer(ModelTransformer):
def __init__(self, model: Booster, feature_names: List[str], base_score: float=0.5, objective: str='reg:squarederror', classification_labels: Optional[List[str]]=None, classification_weights: Optional[List[float]]=None):
super().__init__(model, feature_names... |
class Set(Event):
def __init__(self, parsed):
super(Set, self).__init__('set')
if isinstance(parsed, dict):
self.event = parsed.get('event', None)
self.txn = parsed.get('txn')
def __repr__(self):
return ('stream:event:Set(event=%s, txn=%s)' % (self.event, self.txn... |
class TestForumProfileDetailView(BaseClientTestCase):
(autouse=True)
def setup(self):
self.u1 = UserFactory.create()
self.g1 = GroupFactory.create()
self.u1.groups.add(self.g1)
self.user.groups.add(self.g1)
self.perm_handler = PermissionHandler()
self.top_level_ca... |
class TestShardedFiles(unittest.TestCase):
def test_fails_for_no_sharding(self) -> None:
pattern = os.path.join(test_path, 'foo.bar')
with self.assertRaisesRegex(ValueError, 'Not a sharded file'):
ShardedFile(pattern)
def test_returns_two_shards_for_star(self) -> None:
patter... |
def type_validation(**kwargs: Any) -> None:
for (arg_name, arg_values) in kwargs.items():
if ((arg_name not in type_dict) and (arg_name not in type_callable_dict)):
raise ValueError(f"Error: '{arg_name}' is not a valid argument. Please only use argument names defined in `type_dict` or `type_call... |
def test_data_quality_test_mean_render():
test_dataset = pd.DataFrame({'numerical_feature': [0, 1, 2, 5], 'target': [0, 0, 0, 1]})
mapping = ColumnMapping(numerical_features=['numerical_feature'])
suite = TestSuite(tests=[TestColumnValueMean(column_name='numerical_feature', eq=0)])
suite.run(current_dat... |
class OptionSeriesAreasplinerangeSonificationDefaultinstrumentoptionsMappingGapbetweennotes(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapT... |
class OptionSeriesColumnAccessibilityPoint(Options):
def dateFormat(self):
return self._config_get(None)
def dateFormat(self, text: str):
self._config(text, js_type=False)
def dateFormatter(self):
return self._config_get(None)
def dateFormatter(self, value: Any):
self._co... |
def avg_method(data, result_on):
try:
values = []
for log in data:
if (result_on in log):
values.append(float(log[result_on]))
if (len(values) == 0):
value = {}
return (value, {})
else:
value = np.mean(values)
... |
def test_change_attr_values(model_with_no_args):
model = model_with_no_args
model.name = 'target'
model.attrs['has_var'] = False
change_attr_values(model, {'target': {'has_var': True, 'error': True}})
assert (model.attrs['has_var'] is True)
assert ('error' not in model.attrs) |
def extractReadlnovelBlogspotCom(item):
(vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title'])
if ((not (chp or vol)) or ('preview' in item['title'].lower())):
return None
tagmap = [('PRC', 'PRC', 'translated'), ('Loiterous', 'Loiterous', 'oel')]
for (tagname, name, tl_type)... |
class FeaturesClient(NamespacedClient):
_rewrite_parameters()
def get_features(self, *, error_trace: t.Optional[bool]=None, filter_path: t.Optional[t.Union[(str, t.Sequence[str])]]=None, human: t.Optional[bool]=None, pretty: t.Optional[bool]=None) -> ObjectApiResponse[t.Any]:
__path = '/_features'
... |
def parse_zabbix_result(result, key=None, from_get_request=True, many=False, mon_object=None, mon_object_name=None):
if from_get_request:
try:
if ((not many) and (len(result) > 1)):
raise MultipleRemoteObjectsReturned(('Got multiple (%d) zabbix objects when _one_ was expected' % ... |
.usefixtures('use_tmpdir', 'mock_fm_ok')
def test_num_cpu_submitted_correctly_lsf(tmpdir, simple_script):
os.putenv('PATH', ((os.getcwd() + ':') + os.getenv('PATH')))
driver = Driver(driver_type=QueueSystem.LSF)
bsub = Path('bsub')
bsub.write_text(MOCK_BSUB, encoding='utf-8')
bsub.chmod(stat.S_IRWXU... |
def workout_distribution(sport='Ride', days=90, intensity='all'):
min_non_warmup_workout_time = app.session.query(athlete).filter((athlete.athlete_id == 1)).first().min_non_warmup_workout_time
df_summary = pd.read_sql(sql=app.session.query(stravaSummary).filter((stravaSummary.start_date_utc >= (datetime.utcnow(... |
def test_get_argnames():
def foo(a, b, c):
pass
class Bar():
def __call__(self, a, b):
pass
assert (misc.get_argnames(foo) == ['a', 'b', 'c'])
assert (misc.get_argnames(Bar()) == ['a', 'b'])
assert (misc.get_argnames(functools.partial(foo, 42)) == ['b', 'c']) |
def test_broken_utf8_object_name(tmpdir, merge_files_oneLR):
path = os.path.join(str(tmpdir), 'broken_utf8_object_name.dlis')
content = ['data/chap3/start.dlis.part', 'data/chap3/template/default.dlis.part', 'data/chap3/object/broken-utf8-object.dlis.part']
merge_files_oneLR(path, content)
prev_encoding... |
.skipif((not has_mxnet), reason='needs MXNet')
def test_mxnet_wrapper_thinc_model_subclass(mx_model):
class CustomModel(Model):
def fn(self) -> int:
return 1337
model = MXNetWrapper(mx_model, model_class=CustomModel)
assert isinstance(model, CustomModel)
assert (model.fn() == 1337) |
class SvgTestCase(unittest.TestCase):
def setUp(self):
self.file = 'tests/fixtures/test.svg'
self.newstyle = 'stroke {color:red;}'
def test_rescale(self):
new = style.rescale(self.file, 100)
g = minidom.parseString(new).getElementsByTagName('g')[0]
assert ('scale(100)' in... |
class _ComputeRegionInstanceGroupsRepository(repository_mixins.ListQueryMixin, _base_repository.GCPRepository):
def __init__(self, **kwargs):
super(_ComputeRegionInstanceGroupsRepository, self).__init__(component='regionInstanceGroups', **kwargs)
def list_instances(self, resource, instance_group, region... |
def extractSkeletonqueen06WordpressCom(item):
badwords = ['Anime Ending Song', 'Manhua', 'Manga', 'Doujinshi']
if any([(bad in item['tags']) for bad in badwords]):
return None
(vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title'])
if ((not (chp or vol)) or ('preview' in item... |
class InterruptibleLoopContext():
_loop_contexts: ClassVar[List['InterruptibleLoopContext']] = []
_signal_source_id = None
def _glib_sigint_handler(cls, user_data):
context = cls._loop_contexts[(- 1)]
context._quit_by_sigint = True
context._loop_exit_func()
return True
de... |
class OptionPlotoptionsWindbarbSonificationTracks(Options):
def activeWhen(self) -> 'OptionPlotoptionsWindbarbSonificationTracksActivewhen':
return self._config_sub_data('activeWhen', OptionPlotoptionsWindbarbSonificationTracksActivewhen)
def instrument(self):
return self._config_get('piano')
... |
def test_purpose_to_data_use():
assert (purpose_to_data_use(1) == ['functional.storage'])
assert (purpose_to_data_use(1, False) == ['functional.storage'])
assert (purpose_to_data_use(1, True) == ['essential.fraud_detection', 'essential.service.security'])
assert (purpose_to_data_use(4) == ['marketing.ad... |
class BsDatePicker(Component):
requirements = ('tempus-dominus',)
css_classes = ['input-group', 'date']
name = 'Bootstrap DatePicker'
_option_cls = OptBsDT.DT
str_repr = '\n<div class="form-group">\n <div {attrs} data-target-input="nearest">\n <input type="text" class="form-control datetim... |
class VirtualMouse():
def __init__(self):
self.image = None
def recognize(self):
handprocess = handProcess.HandProcess(False, 1)
utils = Utils()
fpsTime = time.time()
cap = cv2.VideoCapture(0)
resize_w = 960
resize_h = 720
frameMargin = 100
... |
def getAllAttributeNames(obj):
attrdict = {}
try:
key = type(obj).__name__
except:
key = 'anonymous'
wakeupcall = dir(obj)
del wakeupcall
attributes = dir(obj)
attrdict[(key, 'dir', len(attributes))] = attributes
try:
attributes = list(obj.__dict__.keys())
... |
def test_block_bodies_request_with_fully_invalid_response():
headers_bundle = mk_headers((2, 3), (8, 4), (0, 1), (0, 0))
(headers, _, _, _, _) = zip(*headers_bundle)
wrong_headers_bundle = mk_headers((3, 2), (4, 8), (1, 0), (0, 0))
(w_headers, w_bodies, w_transactions_roots, w_trie_data_dicts, w_uncles_... |
class OptionSeriesVariablepieSonificationTracksMappingHighpassResonance(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, text: str):
... |
class TempHumDelegate(btle.DefaultDelegate):
def __init__(self, callback):
self.callback = callback
btle.DefaultDelegate.__init__(self)
def handleNotification(self, cHandle, data):
if ((cHandle == TEMP_HUM_READ_HANDLE) and (data is not None)):
temp = None
hum = No... |
class OptionPlotoptionsParetoSonificationTracksMappingNoteduration(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, text: str):
... |
def bands_fft(equiv, coeffs, lattvec, nworkers=1):
import multiprocessing as mp
dallvec = np.vstack(equiv)
sallvec = mp.sharedctypes.RawArray('d', (dallvec.shape[0] * 3))
allvec = np.frombuffer(sallvec)
allvec.shape = ((- 1), 3)
dims = ((2 * np.max(np.abs(dallvec), axis=0)) + 1)
np.matmul(da... |
def test_bkz_gram_bkz_coherence():
for (m, n) in dimensions:
if ((m < 2) or (n < 2)):
continue
for float_type in float_types:
A = make_integer_matrix(m, n)
G = tools.compute_gram(A)
GSO_A = GSO.Mat(A, float_type=float_type)
GSO_G = GSO.Mat(... |
def test_cli_init(cli_tester):
cli_tester.monkeypatch.setattr('brownie.project.new', cli_tester.mock_subroutines)
args = ('.', False, False)
kwargs = {}
parameters = (args, kwargs)
cli_tester.run_and_test_parameters('init', parameters)
args = ('test/path', True, True)
parameters = (args, kwa... |
def load_cmd_data(filename):
name = data_str = sig_type = duty_cycle = freq = None
ret = []
with open(filename, 'r', encoding='utf-8') as fd:
header = fd.readline().strip()
if (header != 'Filetype: IR signals file'):
print(f"Error: {filename} is not a 'Flipper IR signals file'")
... |
def draw_numpy_ui(context: bpy.types.Context, layout: bpy.types.UILayout):
numpy_is_installed = moduleutil.is_installed('numpy')
col = layout.column(align=True)
if numpy_is_installed:
col.label(text='NumPy is already installed', icon='INFO')
else:
col.label(text='NumPy is not installed',... |
class BuyerBehaviour(TickerBehaviour):
addr: str
def setup(self) -> None:
self.is_started = False
self.was_called = False
def act(self) -> None:
dialogues = cast(FipaDialogues, self.context.dialogues)
if ((not self.is_started) or self.was_called):
return
(... |
_cfm_opcode(CFM_CC_MESSAGE)
class cc_message(operation):
_PACK_STR = '!4BIHB'
_MIN_LEN = struct.calcsize(_PACK_STR)
_TLV_OFFSET = 70
_MD_NAME_FORMAT_LEN = 1
_MD_NAME_LENGTH_LEN = 1
_SHORT_MA_NAME_FORMAT_LEN = 1
_SHORT_MA_NAME_LENGTH_LEN = 1
_MA_ID_LEN = 64
_MD_FMT_NO_MD_NAME_PRESENT ... |
class SynchronousFlyteClient(_RawSynchronousFlyteClient):
def raw(self):
return super(SynchronousFlyteClient, self)
def create_task(self, task_identifer, task_spec):
super(SynchronousFlyteClient, self).create_task(_task_pb2.TaskCreateRequest(id=task_identifer.to_flyte_idl(), spec=task_spec.to_fl... |
def cluster_balls_multi(model: KeyedVectors, keys: List[str], max_size: int=None, min_score: float=None):
clusters = []
for key in keys:
for ball in cluster_balls(model, key, max_size=max_size, min_score=min_score):
i = 0
merged = False
to_remove = set()
f... |
def filter_scores_target_list(pScoresDictionary, pTargetList=None, pTargetIntervalTree=None, pTargetFile=None):
accepted_scores = {}
same_target_dict = {}
target_regions_intervaltree = None
if (pTargetList is not None):
targetFileHDF5Object = h5py.File(pTargetFile, 'r')
target_object = t... |
('cuda.nhwc3to4.gen_function')
def gen_function(func_attrs, template_path, shape_eval_template, shape_save_template):
func_name = func_attrs['name']
backend_spec = CUDASpec()
elem_input_type = backend_spec.dtype_to_backend_type(func_attrs['inputs'][0]._attrs['dtype'])
shape_eval_func = shape_eval_templa... |
class NTDSHashes():
class SECRET_TYPE():
NTDS = 0
NTDS_CLEARTEXT = 1
NTDS_KERBEROS = 2
NAME_TO_INTERNAL = {'uSNCreated': b'ATTq131091', 'uSNChanged': b'ATTq131192', 'name': b'ATTm3', 'objectGUID': b'ATTk589826', 'objectSid': b'ATTr589970', 'userAccountControl': b'ATTj589832', 'primaryGro... |
class OptionSeriesTimelineSonificationContexttracksActivewhen(Options):
def crossingDown(self):
return self._config_get(None)
def crossingDown(self, num: float):
self._config(num, js_type=False)
def crossingUp(self):
return self._config_get(None)
def crossingUp(self, num: float):... |
class ChildWorkflowExecutionFailedEventAttributes(betterproto.Message):
failure: v1failure.Failure = betterproto.message_field(1)
namespace: str = betterproto.string_field(2)
workflow_execution: v1common.WorkflowExecution = betterproto.message_field(3)
workflow_type: v1common.WorkflowType = betterproto.... |
class MenuButtonWebApp(MenuButton):
def __init__(self, type, text, web_app):
self.type: str = type
self.text: str = text
self.web_app: WebAppInfo = web_app
def to_dict(self):
return {'type': self.type, 'text': self.text, 'web_app': self.web_app.to_dict()}
def to_json(self):
... |
class ModifyL3Dst(base_tests.SimpleDataPlane):
def runTest(self):
logging.info('Running Modify_L3_Dst test')
of_ports = config['port_map'].keys()
of_ports.sort()
self.assertTrue((len(of_ports) > 1), 'Not enough ports for test')
delete_all_flows(self.controller)
loggin... |
class PrivateComputationLocalTestStageFlow(PrivateComputationBaseStageFlow):
_order_ = 'CREATED PID_SHARD PID_PREPARE ID_MATCH ID_MATCH_POST_PROCESS ID_SPINE_COMBINER RESHARD COMPUTE AGGREGATE POST_PROCESSING_HANDLERS'
CREATED = PrivateComputationStageFlowData(initialized_status=PrivateComputationInstanceStatus... |
_api_tests
def test_lookup_status():
result = lookup_status(id=[, ], tweet_mode='extended')
assert (type(result) == pd.core.frame.DataFrame)
assert (len(result) <= 5)
assert all([(embd_uid == uid) for (embd_uid, uid) in zip([x['id'] for x in result['tweet_user']], result['user_id'])]) |
class Typedef(Node):
__slots__ = ('name', 'quals', 'storage', 'type', 'coord', '__weakref__')
def __init__(self, name, quals, storage, type, coord=None):
self.name = name
self.quals = quals
self.storage = storage
self.type = type
self.coord = coord
def children(self):... |
def _extend_coordinates_to_node_shape(csv_data):
bus_geodata = pd.DataFrame([], index=csv_data['Node'].index, columns=['x', 'y'])
with_coord = (~ csv_data['Node']['coordID'].isnull())
idx_in_coordID = idx_in_2nd_array(csv_data['Node']['coordID'].loc[with_coord].values, csv_data['Coordinates']['id'].values)
... |
def vis_top10barplot(df: pd.DataFrame) -> None:
top_10_models = df.nlargest(10, 'Average')
sns.set_style('whitegrid')
(_, ax) = plt.subplots(figsize=(14, 8))
metrics = CONF.METRIC_COL
metrics.sort(key=(lambda x: top_10_models.loc[(0, x)]), reverse=True)
colors = sns.color_palette('pastel', len(m... |
.django_db
def test_awards_idvs_amounts_v2(client, _test_data):
_test_get(client, 1, EXPECTED_GOOD_OUTPUT)
_test_get(client, 'CONT_IDV_2', EXPECTED_GOOD_OUTPUT)
try:
response = client.get('/api/v2/idvs/amounts/3/')
assert (json.loads(response.content.decode('utf-8'))['detail'] == 'No IDV awa... |
class OptionPlotoptionsColumnSonificationDefaultspeechoptionsMappingPlaydelay(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, text: ... |
def test_dt():
sim = td.Simulation(size=(2.0, 2.0, 2.0), run_time=1e-12, grid_spec=td.GridSpec.uniform(dl=0.1))
dt = sim.dt
structure = td.Structure(geometry=td.Box(size=(1, 1, 1), center=((- 1), 0, 0)), medium=td.PoleResidue(eps_inf=0.16, poles=[(((- 1) + 1j), (2 + 2j))]))
sim_new = sim.copy(update=dic... |
def filter_relevant_indices(start, arg_values, indices, format_types):
result = []
for i in indices:
argument = arg_values[(start + i)]
for arg in argument:
if (isinstance(arg, format_types[i]) and string_is_printable(str(arg))):
result.append(str(arg))
return res... |
class OptionSeriesCylinderSonificationDefaultinstrumentoptionsMappingPan(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, text: str):... |
def sgr_bg():
output = ''
for row_num in range(0, len(GROUPS[0])):
line = ''
for group in GROUPS:
try:
name = group[row_num]
except IndexError:
continue
fore = (fg.da_grey if (name in ['white', 'li_grey']) else '')
l... |
()
('--fcr_host', default='localhost', help='Hostname for fcr service')
('--fcr_port', default=5000, type=int, help='Port for fcr service')
('--user', default=getpass.getuser(), help='username to login as')
_context
def fcr(ctx, fcr_host, fcr_port, user):
ctx.obj = FCRSvcClient(user, fcr_host, fcr_port) |
def test_encode_multiple_points():
e = polyline.encode([(40.641, (- 8.654)), (40.641, (- 8.654)), (40.641, (- 8.656)), (40.642, (- 8.656)), (40.642, (- 8.655)), (40.642, (- 8.655)), (40.642, (- 8.655)), (40.642, (- 8.653)), (40.642, (- 8.653)), (40.642, (- 8.653)), (40.641, (- 8.653)), (40.641, (- 8.654))])
ass... |
class ExecutionSettings(FidesSettings):
masking_strict: bool = Field(default=True, description='If set to True, only use UPDATE requests to mask data. If False, Fides will use any defined DELETE or GDPR DELETE endpoints to remove PII, which may extend beyond the specific data categories that configured in your exec... |
def update_frame_processors(frame_processors: List[str]) -> gradio.CheckboxGroup:
facefusion.globals.frame_processors = frame_processors
clear_frame_processors_modules()
for frame_processor in frame_processors:
frame_processor_module = load_frame_processor_module(frame_processor)
if (not fra... |
def test_invalid_conf_key(tmp_path, capsys):
config_path = (tmp_path / '.mdformat.toml')
config_path.write_text('numberr = true')
file_path = (tmp_path / 'test_markdown.md')
file_path.write_text('1. one\n1. two\n1. three')
assert (run((str(file_path),)) == 1)
captured = capsys.readouterr()
a... |
('cuda.fmha_style_b2b_bmm.gen_function')
def fmha_style_b2b_bmm_gen_function(func_attrs: Dict[(str, Any)]) -> str:
(q, k, v) = func_attrs['inputs'][0:3]
bias_broadcast = ([False] * 4)
if (len(func_attrs['inputs']) > 3):
bias = func_attrs['inputs'][3]
bias_broadcast = [(var == IntImm(1)) for ... |
class OptionSeriesAreasplinerangeSonificationContexttracksMappingGapbetweennotes(Options):
def mapFunction(self):
return self._config_get(None)
def mapFunction(self, value: Any):
self._config(value, js_type=False)
def mapTo(self):
return self._config_get(None)
def mapTo(self, tex... |
_api.route('/key', methods=['POST'])
def do_key_create():
data = request.get_json()
try:
validate(data, key_schema)
except ValidationError:
return jsonify({'error': 'invalid schema', 'schema': key_schema}, 400)
key = libapi.keygen(data['username'], data['password'])
if key:
r... |
class TocTreeprocessor(Treeprocessor):
def __init__(self, md, config):
super().__init__(md)
self.marker = config['marker']
self.title = config['title']
self.base_level = (int(config['baselevel']) - 1)
self.slugify = config['slugify']
self.sep = config['separator']
... |
def edit_message_media(token, media, chat_id=None, message_id=None, inline_message_id=None, reply_markup=None):
method_url = 'editMessageMedia'
(media_json, file) = convert_input_media(media)
payload = {'media': media_json}
if chat_id:
payload['chat_id'] = chat_id
if message_id:
payl... |
def create_test_from_template(lab_test):
template = frappe.get_doc('Lab Test Template', lab_test.template)
patient = frappe.get_doc('Patient', lab_test.patient)
lab_test.lab_test_name = template.lab_test_name
lab_test.result_date = getdate()
lab_test.department = template.department
lab_test.lab... |
def extract_currency(text_list, left_chars=20, right_chars=20):
summary = extract(text_list, CURRENCY, 'currency_symbol')
summary['currency_symbol_names'] = [([name(c).lower() for c in x] if x else []) for x in summary['currency_symbols']]
surrounding_text_regex = re.compile((((((('.{0,' + str(left_chars)) ... |
def main(json_loc: Path, train_file: Path, dev_file: Path, eval_split: float, span_key: str):
empty_docs = []
docs = []
nlp = spacy.blank('en')
total_span_count = {}
max_span_length = 0
msg.info('Processing Healthsea')
with json_loc.open('r', encoding='utf8') as jsonfile:
for line in... |
def extractCcKhatUs(item):
(vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title'])
if ((not (chp or vol)) or ('preview' in item['title'].lower())):
return None
tagmap = [('PRC', 'PRC', 'translated'), ('Loiterous', 'Loiterous', 'oel')]
for (tagname, name, tl_type) in tagmap:
... |
def filter_multi(query, kwargs, fields):
for (key, column) in fields:
if kwargs.get(key):
exclude_list = build_exclude_list(kwargs.get(key))
include_list = build_include_list(kwargs.get(key))
if exclude_list:
query = query.filter(sa.or_(column.notin_(exclu... |
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