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class VirtualExp():
def __init__(self, *args, **kwargs):
self.name = kwargs['name']
self.index = kwargs['index']
self.exp = kwargs['exp']
self.elm = kwargs['elm']
self.blk = kwargs['blk']
self.pc = kwargs['pc']
def __repr__(self):
if isinstance(self.exp, l... |
def get_solar_capacity_au_nt(target_datetime: datetime) -> (float | None):
session = Session()
capacity_df = get_opennem_capacity_data(session)
capacity_df = filter_capacity_data_by_datetime(capacity_df, target_datetime)
capacity_df = capacity_df.loc[(capacity_df['zone_key'] == 'NT1')]
capacity_df['... |
def gen_methods_text_str(model_obj=None):
template = "The periodic & aperiodic spectral parameterization algorithm (version {}) was used to parameterize neural power spectra. Settings for the algorithm were set as: peak width limits : {}; max number of peaks : {}; minimum peak height : {}; peak threshold : {}; and ... |
class Data(models.Model):
device = models.ForeignKey(Device, related_name='device_data', on_delete=models.CASCADE)
field_1 = models.CharField(_('Deger 1'), max_length=10, null=True, blank=False)
field_2 = models.CharField(_('Deger 2'), max_length=10, null=True, blank=False)
field_3 = models.CharField(_(... |
def test_span_labelling(elasticapm_client):
elasticapm_client.begin_transaction('test')
with elasticapm.capture_span('test', labels={'foo': 'bar', 'ba.z': 'baz.zinga'}) as span:
span.label(lorem='ipsum')
elasticapm_client.end_transaction('test', 'OK')
span = elasticapm_client.events[SPAN][0]
... |
def offset_to_line(source_code, bytecode_offset, source_mapping):
srcmap_runtime_mappings = source_mapping[0].split(';')
srcmap_mappings = source_mapping[1].split(';')
mappings = None
if ((bytecode_offset < 0) or (len(srcmap_mappings) <= bytecode_offset)):
if ((bytecode_offset < 0) or (len(srcma... |
(scope='class', autouse=True)
def aea_testcase_teardown_check(request):
from aea.test_tools.test_cases import BaseAEATestCase
(yield)
if (request.cls and issubclass(request.cls, BaseAEATestCase) and (getattr(request.cls, '_skipped', False) is False)):
assert getattr(request.cls, '_is_teardown_class_... |
def test_unconditional_node():
graph = ControlFlowGraph()
graph.add_nodes_from((vertices := [BasicBlock(0, []), BasicBlock(1, [])]))
graph.add_edges_from([UnconditionalEdge(vertices[0], vertices[1])])
t_cfg = TransitionCFG.generate(graph)
true_condition = LogicCondition.initialize_true(LogicConditio... |
class CmdCdestroy(CmdChannel):
key = 'cdestroy'
aliases = []
help_category = 'Comms'
locks = 'cmd: not pperm(channel_banned)'
account_caller = True
def func(self):
caller = self.caller
if (not self.args):
self.msg('Usage: cdestroy <channelname>')
return
... |
()
_context
_type_argument
_key_argument
_analytics
def delete(ctx: click.Context, resource_type: str, fides_key: str) -> None:
config = ctx.obj['CONFIG']
handle_cli_response(_api.delete(url=config.cli.server_url, resource_type=resource_type, resource_id=fides_key, headers=config.user.auth_header), verbose=Fals... |
class BaseFixedEncoder(NumberEncoder):
frac_places = None
def type_check_fn(value):
return (is_number(value) and (not isinstance(value, float)))
def illegal_value_fn(value):
if isinstance(value, decimal.Decimal):
return (value.is_nan() or value.is_infinite())
return False... |
class _Date(PythonDataType):
def cast_from(self, obj):
if isinstance(obj, str):
try:
return datetime_parse.parse_date(obj)
except datetime_parse.DateTimeError:
raise TypeMismatchError(obj, self)
return super().cast_from(obj) |
def _fuse_single_source_parallel_gemms(sorted_graph: List[Tensor]) -> Tuple[(bool, List[Tensor])]:
_fusing_ops = {'gemm_rcr', 'gemm_rcr_bias'}
for tensor in sorted_graph:
fusion_groups = {}
for dst in tensor.dst_ops():
op_type = dst._attrs['op']
if (op_type in _fusing_ops... |
def extractWhitedovetranslationsWordpressCom(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, na... |
class _DefaultWorkerManagerFactory(WorkerManagerFactory):
def __init__(self, system_app: (SystemApp | None)=None, worker_manager: WorkerManager=None):
super().__init__(system_app)
self.worker_manager = worker_manager
def create(self) -> WorkerManager:
return self.worker_manager |
class EngineState(Entity):
INFO = {'make': [], 'initialize': [], 'reset': []}
def __init__(self, ns, name, simulator, backend, params):
self.ns = ns
self.name = name
self.color = 'grey'
self.backend = backend
from eagerx.core.specs import EngineStateSpec
self.init... |
class SearchFilterLayer(SqlalchemyDataLayer):
def filter_query(self, query, filter_info, model):
without_fulltext = [f for f in filter_info if (f['op'] != 'search')]
if (not without_fulltext):
return query
return super().filter_query(query, without_fulltext, model) |
def faba_with_object_class_and_two_awards(award_count_sub_schedule, award_count_submission, defc_codes):
basic_object_class = major_object_class_with_children('001', [1])
award1 = _normal_award(156)
award2 = _normal_award(212)
baker.make('awards.FinancialAccountsByAwards', parent_award_id='basic award 1... |
class OptionSeriesPieSonificationTracksMappingTremoloSpeed(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):
self.... |
class reiterable(_coconut_has_iter):
__slots__ = ()
def __new__(cls, iterable):
if _coconut.isinstance(iterable, _coconut.reiterables):
return iterable
return _coconut.super(reiterable, cls).__new__(cls, iterable)
def get_new_iter(self):
(self.iter, new_iter) = tee(self.i... |
def test_slave_chat_update_member(bot_group, slave, channel):
(added, edited, removed) = slave.send_member_update_status()
group = added.chat
chat_manager = channel.chat_manager
group_key = chat_manager.get_cache_key(group)
assert (group_key in chat_manager.cache)
group_cache = chat_manager.cach... |
def markTightParagraphs(state: StateBlock, idx: int) -> None:
level = (state.level + 2)
i = (idx + 2)
length = (len(state.tokens) - 2)
while (i < length):
if ((state.tokens[i].level == level) and (state.tokens[i].type == 'paragraph_open')):
state.tokens[(i + 2)].hidden = True
... |
class Filters(Html.Html):
name = 'Filters'
requirements = (cssDefaults.ICON_FAMILY,)
_option_cls = OptList.OptionsTagItems
def __init__(self, page: primitives.PageModel, items, width, height, html_code, helper, options, profile, verbose: bool=False):
super(Filters, self).__init__(page, items, ht... |
def _init_4bit_linear(source: Module, config: Union[(_8BitConfig, _4BitConfig)], device: torch.device) -> 'bnb.nn.Linear4bit':
assert isinstance(config, _4BitConfig)
import bitsandbytes as bnb
quantized_module = bnb.nn.Linear4bit(input_features=source.in_features, output_features=source.out_features, bias=(... |
def test_augmented_assignment_broadcast():
mesh = UnitSquareMesh(1, 1)
V = FunctionSpace(mesh, 'BDM', 1)
u = Function(V)
a = Constant(1)
b = Constant(2)
u.assign(a)
assert np.allclose(u.dat.data_ro, 1)
u *= (- (a + b))
assert np.allclose(u.dat.data_ro, (- 3))
u += (b * 2)
ass... |
class OptionSeriesScatter3dData(Options):
def accessibility(self) -> 'OptionSeriesScatter3dDataAccessibility':
return self._config_sub_data('accessibility', OptionSeriesScatter3dDataAccessibility)
def className(self):
return self._config_get(None)
def className(self, text: str):
self... |
class OptionPlotoptionsVariablepieSonificationDefaultspeechoptionsMappingVolume(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... |
_os(*metadata.platforms)
def main():
masquerade = '/tmp/bash'
common.copy_macos_masquerade(masquerade)
common.log('Launching fake osascript commands to mimic apple script execution')
command = 'osascript with administrator privileges'
common.execute([masquerade, 'childprocess', command], shell=True,... |
(PRIVACY_REQUEST_TRANSFER_TO_PARENT, status_code=HTTP_200_OK, dependencies=[Security(verify_oauth_client, scopes=[PRIVACY_REQUEST_TRANSFER])], response_model=Dict[(str, Optional[List[Row]])])
def privacy_request_data_transfer(*, privacy_request_id: str, rule_key: str, db: Session=Depends(deps.get_db), cache: FidesopsRe... |
def mark_item_unwatched(item_id):
log.debug('Mark Item UnWatched: {0}', item_id)
url = ('{server}/emby/Users/{userid}/PlayedItems/' + item_id)
downloadUtils.download_url(url, method='DELETE')
check_for_new_content()
home_window = HomeWindow()
last_url = home_window.get_property('last_content_url... |
def test_to_python_value_and_literal():
ctx = context_manager.FlyteContext.current_context()
tf = NumpyArrayTransformer()
python_val = np.array([1, 2, 3])
lt = tf.get_literal_type(np.ndarray)
lv = tf.to_literal(ctx, python_val, type(python_val), lt)
assert (lv.scalar.blob.metadata == BlobMetadat... |
def gen_subfile(pkt_bits, note='x10 command', repeat=1):
datalines = []
for bits in pkt_bits:
data = [9000, (- 4500)]
for bit in bits:
if (bit == '1'):
data.extend((562, (- 1688)))
else:
data.extend((562, (- 563)))
data.extend((562,... |
class DQN():
def __init__(self, config, create_env, create_agent):
self.config = config
self.logger = TFLogger(log_dir=self.config['logdir'], hps=self.config, save_every=self.config['save_every'])
self._create_env = create_env
self._create_agent = create_agent
def _state_dict(sel... |
def type_text(data):
if (keepmenu.CLIPBOARD is True):
type_clipboard(data)
return
library = 'pynput'
if keepmenu.CONF.has_option('database', 'type_library'):
library = keepmenu.CONF.get('database', 'type_library')
if (library == 'xdotool'):
call(['xdotool', 'type', '--', ... |
class limits_property():
def __init__(self, minimum_attribute_name, maximum_attribute_name):
super().__init__()
self._minimum_attribute_name = minimum_attribute_name
self._maximum_attribute_name = maximum_attribute_name
def __get__(self, instance, owner):
return (getattr(instance... |
.LinearSolvers
def test_step_noslip_FullRun():
petsc_options = initialize_petsc_options
context_options_str = "boundary_condition_type='ns'"
ns = load_simulation(context_options_str)
actual_log = runTest(ns, 'test_2')
L1 = actual_log.get_ksp_resid_it_info([(' step2d ', 1.0, 0, 0)])
L2 = actual_l... |
class OptionSeriesNetworkgraphSonificationDefaultinstrumentoptionsMapping(Options):
def frequency(self) -> 'OptionSeriesNetworkgraphSonificationDefaultinstrumentoptionsMappingFrequency':
return self._config_sub_data('frequency', OptionSeriesNetworkgraphSonificationDefaultinstrumentoptionsMappingFrequency)
... |
class StarSubmissionResult(object):
codeMap = {201: 'New Entry', 202: 'System CR increased', 203: 'Coordinates calculated', 301: 'Distance added', 302: 'Distance CR increased', 303: 'Added verification', 304: 'OK: Needs more data', 305: 'Distance appears to be wrong', 401: 'CALCULATED', 402: 'No solution found, mor... |
def test_get_surfaces_from_3dgrid(tmpdir):
mygrid = xtgeo.grid_from_file(TESTSETG1)
surfs = xtgeo.surface.surfaces.surfaces_from_grid(mygrid, rfactor=2)
surfs.describe()
assert (surfs.surfaces[(- 1)].values.mean() == pytest.approx(1742.28, abs=0.04))
assert (surfs.surfaces[(- 1)].values.min() == pyt... |
def validate_model(model, val_loader):
print('Validating the model')
model.eval()
y_true = []
y_pred = []
with torch.no_grad():
for (step, (x, mel)) in enumerate(val_loader):
if (step < 15):
(x, mel) = (Variable(x).cuda(), Variable(mel).cuda())
log... |
class LocalFilePreferredNamesPreference(widgets.Preference, widgets.CheckConditional):
default = ['front', 'cover', 'album']
name = 'covers/localfile/preferred_names'
condition_preference_name = 'covers/use_localfile'
def __init__(self, preferences, widget):
widgets.Preference.__init__(self, pre... |
class OptionPlotoptionsCylinderSonificationContexttracksMappingLowpassResonance(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... |
class GetNodeDataTracker(BasePerformanceTracker[(GetNodeDataV65, NodeDataBundles)]):
def _get_request_size(self, request: GetNodeDataV65) -> Optional[int]:
return len(request.payload)
def _get_result_size(self, result: NodeDataBundles) -> int:
return len(result)
def _get_result_item_count(se... |
class ElementConstantNewton(proteus.NonlinearSolvers.NonlinearSolver):
def __init__(self, linearSolver, F, J=None, du=None, par_du=None, rtol_r=0.0001, atol_r=1e-16, rtol_du=0.0001, atol_du=1e-16, maxIts=100, norm=l2Norm, convergenceTest='r', computeRates=True, printInfo=True, fullNewton=True, directSolver=False, E... |
class TestQCSampleForSolid(unittest.TestCase):
def setUp(self):
self.d = TestUtils.make_dir()
for f in SOLID_FILES.split():
TestUtils.make_file(f, 'lorem ipsum', basedir=self.d)
self.qc_dir = TestUtils.make_sub_dir(self.d, 'qc')
for f in SOLID_QC_FILES.split():
... |
def find_app_module():
(rv, files, dirs) = (None, [], [])
for path in os.listdir():
if any((path.startswith(val) for val in ['.', 'test'])):
continue
if os.path.isdir(path):
if (not path.startswith('_')):
dirs.append(path)
continue
(_, ... |
class HtmlStates():
def loading(self, status: bool=True, label: str=None, data: types.JS_DATA_TYPES=None):
if (label is not None):
self.options.templateLoading = label
if (self.options.templateLoading is None):
self.options.templateLoading = Default_html.TEMPLATE_LOADING_ONE_... |
def test_get_final_config_bibtex(data_regression):
cli_config = {'latex_individualpages': False}
user_config = {'bibtex_bibfiles': ['tmp.bib']}
(final_config, metadata) = get_final_config(user_yaml=user_config, cli_config=cli_config, validate=True, raise_on_invalid=True)
assert ('sphinxcontrib.bibtex' i... |
def flag_cutpaste_candidates(insertion_from_signature_clusters, deletion_signature_clusters, options):
int_duplication_candidates = []
for ins_cluster in insertion_from_signature_clusters:
distances = [(del_index, span_position_distance_clusters(del_cluster, ins_cluster, options.position_distance_normal... |
class OptionSeriesScatterDataDragdrop(Options):
def draggableX(self):
return self._config_get(None)
def draggableX(self, flag: bool):
self._config(flag, js_type=False)
def draggableY(self):
return self._config_get(None)
def draggableY(self, flag: bool):
self._config(flag,... |
class NCSOConcessionBookmark(models.Model):
user = models.ForeignKey(User, on_delete=models.CASCADE)
pct = models.ForeignKey(PCT, null=True, blank=True, on_delete=models.PROTECT)
practice = models.ForeignKey(Practice, null=True, blank=True, on_delete=models.PROTECT)
created_at = models.DateTimeField(aut... |
class EditForumForm(ForumForm):
id = HiddenField()
def __init__(self, forum, *args, **kwargs):
self.forum = forum
kwargs['obj'] = self.forum
ForumForm.__init__(self, *args, **kwargs)
def save(self):
data = self.data
data.pop('submit', None)
data.pop('csrf_toke... |
class FipaHandler(Handler):
SUPPORTED_PROTOCOL = FipaMessage.protocol_id
def setup(self) -> None:
def handle(self, message: Message) -> None:
fipa_msg = cast(FipaMessage, message)
fipa_dialogues = cast(FipaDialogues, self.context.fipa_dialogues)
fipa_dialogue = cast(FipaDialogue, fip... |
class TestMappedUnion(unittest.TestCase):
def test_no_mapped(self):
no_mapped = MappedUnion(Int, Float)
self.assertFalse(no_mapped.is_mapped)
self.assertIsNone(no_mapped.post_setattr)
def test_mapped(self):
mapped = MappedUnion(None, Str, Map({'yes': True, 'no': False}))
... |
class SimpleValuesBuilderTest(unittest.TestCase):
def test_build_string(self):
value = build_value('some string', str, False)
self.assertEqual(value, 'some string')
value = build_value('"some string"', str, True)
self.assertEqual(value, 'some string')
def test_build_int(self):
... |
class MicrosoftGraphOAuth2(BaseOAuth2[Dict[(str, Any)]]):
display_name = 'Microsoft'
logo_svg = LOGO_SVG
def __init__(self, client_id: str, client_secret: str, tenant: str='common', scopes: Optional[List[str]]=BASE_SCOPES, name: str='microsoft'):
access_token_endpoint = ACCESS_TOKEN_ENDPOINT.format(... |
def get_remote_file_url(file_path: str, full_name: str, repo_url: str) -> str:
if Path(repo_url).exists():
return GitService.LOCAL.file_url.format(file_path=file_path)
for service in GitService:
if (service.host in repo_url):
return service.file_url.format(full_name=full_name, file_p... |
class TestDSLMemoizedBeforeAttribute(TestDSLBase):
def test_memoize_before_attribute(self):
mock = Mock()
def top(context):
value = 1
memoized = []
_before
def attribute_name(self):
memoized.append(True)
return (value + ... |
def div_cc_c(gen, t, srcs):
denom = cmag_c_f(gen, 'mag', [srcs[1]])
ac = gen.emit_binop('*', [srcs[0].re, srcs[1].re], Float)
bd = gen.emit_binop('*', [srcs[0].im, srcs[1].im], Float)
bc = gen.emit_binop('*', [srcs[0].im, srcs[1].re], Float)
ad = gen.emit_binop('*', [srcs[0].re, srcs[1].im], Float)
... |
class WatchDog(multiprocessing.Process):
def __init__(self, timeout=30):
multiprocessing.Process.__init__(self)
self.timeout = timeout
def run(self):
try:
while True:
if ping.wait(self.timeout):
ping.clear()
else:
... |
class GameRunner(Greenlet):
def _run(self) -> None:
raise GameError('Abstract')
def user_input(self, entities: Sequence[Any], inputlet: Inputlet, timeout: int=25, type: str='single', trans: Optional[InputTransaction]=None):
raise GameError('Abstract')
def is_aborted(self) -> bool:
ra... |
class GroupTaggerPlugin():
def get_preferences_pane(self):
return gt_prefs
def enable(self, exaile):
self.exaile = exaile
def on_gui_loaded(self):
self.track = None
self.tag_dialog = None
migrate_settings()
self.panel = gt_widgets.GroupTaggerPanel(self.exaile)... |
class ImageStoreView(APIView):
dc_bound = False
HTTP_TIMEOUT = 20
HTTP_MAX_SIZE =
LOCK_KEY = 'imagestore-update'
def __init__(self, request, name, data, many=False):
super(ImageStoreView, self).__init__(request)
self.data = data
self.name = name
self.many = many
... |
class TestSyncFedShuffleServers():
def _fake_data(self, num_batches=3, batch_size=2, rng: Optional[torch.Generator]=None):
dataset = [torch.rand(batch_size, 2, generator=rng) for _ in range(num_batches)]
dataset = utils.DatasetFromList(dataset)
return utils.DummyUserData(dataset, utils.Sampl... |
class Perm021FCCCRTestCase(unittest.TestCase):
def _test_perm021fc_ccr(self, test_name='perm021fc_ccr', dtype='float16'):
B = 1024
M = 128
K = 745
N = 30
target = detect_target()
X = Tensor(shape=[B, K, M], dtype=dtype, name='input_0', is_input=True)
W = Tenso... |
class ResourceScanner(base_scanner.BaseScanner):
def __init__(self, global_configs, scanner_configs, service_config, model_name, snapshot_timestamp, rules):
super(ResourceScanner, self).__init__(global_configs, scanner_configs, service_config, model_name, snapshot_timestamp, rules)
self.rules_engine... |
class MySource(Node):
A = Topic(MyMessage1)
def __init__(self) -> None:
super(MySource, self).__init__()
(A)
async def source(self) -> AsyncPublisher:
for i in range(NUM_MESSAGES):
(yield (self.A, MyMessage1(int_field=i)))
(await asyncio.sleep((1 / SAMPLE_RATE))) |
class WindowsEnableNewAdapterDisrupter(Disrupter):
def __init__(self, device, parameters):
super().__init__(device, parameters)
self._restrict_parameters(must_disrupt=True, must_restore=False)
self._primary_adapter = self._find_primary_adapter()
def _find_primary_adapter(self):
p... |
def db_migrate_speaker_doc(db):
conn = db.engine.connect()
cursor = conn.execute('SELECT * from sessions')
dict = []
for row in cursor:
dict.append({'name': row['title'], 'link': row['slides_url']})
data = f"'{json.dumps(dict)}'"
id = row['id']
conn.execute(f'UPDATE sessi... |
class OptionPlotoptionsPyramid3dSonificationDefaultspeechoptionsMappingTime(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: st... |
.parametrize('solver', [quartic.QuarticSolver.NUMERIC, quartic.QuarticSolver.HYBRID])
def test_almost_touching_ball_ball_collision(solver: quartic.QuarticSolver):
template = System(cue=Cue.default(), table=(table := Table.default()), balls={'1': (ball := Ball.create('1', xy=((table.w / 2), (table.l / 2)))), 'cue': ... |
def _ipython(local, banner):
from IPython.terminal.embed import InteractiveShellEmbed
from IPython.terminal.ipapp import load_default_config
InteractiveShellEmbed.clear_instance()
shell = InteractiveShellEmbed.instance(banner1=banner, user_ns=local, config=load_default_config())
shell() |
class TestImportHelpers(unittest.TestCase):
def test_allowed_file(self):
request_filename = 'test.pdf'
request_extensions = ['pdf', 'zip']
actual_response = _allowed_file(request_filename, request_extensions)
self.assertTrue(actual_response)
request_filename = 'test.pdf'
... |
class AdCampaignDeliveryStatsUnsupportedReasons(AbstractObject):
def __init__(self, api=None):
super(AdCampaignDeliveryStatsUnsupportedReasons, self).__init__()
self._isAdCampaignDeliveryStatsUnsupportedReasons = True
self._api = api
class Field(AbstractObject.Field):
reason_data... |
def main(data_source):
pipeline = FairMarketcapSF1(pretrained=False, data_source=data_source)
base_df = pipeline.data['base'].load()
tickers = base_df[((base_df['currency'] == CURRENCY) & base_df['scalemarketcap'].apply((lambda x: (x in SCALE_MARKETCAP))))]['ticker'].values
result = pipeline.fit(tickers... |
class OptionSeriesColumnSonificationContexttracksMappingPan(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):
self... |
def create_extraction_chain(llm: BaseLanguageModel, node: Object, *, encoder_or_encoder_class: Union[(Type[Encoder], Encoder, str)]='csv', type_descriptor: Union[(TypeDescriptor, str)]='typescript', validator: Optional[Validator]=None, input_formatter: InputFormatter=None, instruction_template: Optional[PromptTemplate]... |
def _construct_shape(shape: List[List[int]], input_number: int) -> Tuple[(List[IntVar], List[Optional[str]])]:
result = []
dim_names = []
num_dynamic = 0
for dim in shape:
dim_name = None
if (len(dim) == 1):
result.append(IntImm(dim[0]))
else:
dim_name = f... |
class Compose():
def __init__(self, project_name: str, env_file: str):
self.project_name = project_name
self.base_cmd = ('docker', 'compose', '-p', project_name, '--env-file', env_file)
def __call__(self, *cmd: str) -> None:
file_args = ['-f', 'compose.yaml', '-f', 'overrides/compose.pro... |
def build_ordered_output_actions(acl_table, output_list, tunnel_rules=None, source_id=None):
output_actions = []
output_ports = []
output_ofmsgs = []
output_inst = []
for action in output_list:
for (key, value) in action.items():
if (key == 'pop_vlans'):
for _ in ... |
class OptionPlotoptionsBubbleSonificationTracksMappingPan(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):
self._... |
class paramTimer():
elapsedTimeNS: float = 0.0
def reset(self, newTime: float=0.0) -> None:
self.elapsedTimeNS = newTime
def incrTimeNS(self, timeNS: float) -> None:
self.elapsedTimeNS += timeNS
def getTimeUS(self) -> float:
return (self.elapsedTimeNS / 1000.0)
def getTimeNS(... |
class IntroRoom(TutorialRoom):
def at_object_creation(self):
super().at_object_creation()
self.db.tutorial_info = 'The first room of the tutorial. This assigns the health Attribute to the account.'
def at_object_receive(self, character, source_location, move_type='move', **kwargs):
healt... |
def breathing_led(mc, duration):
min_brightness = 0
max_brightness = 255
speed = 0.02
period = (2 * math.pi)
while True:
start_time = time.time()
while ((time.time() - start_time) < duration):
elapsed_time = (time.time() - start_time)
phase = ((((elapsed_time ... |
class OptionSeriesAreaLabelStyle(Options):
def fontSize(self):
return self._config_get('0.8em')
def fontSize(self, num: float):
self._config(num, js_type=False)
def fontWeight(self):
return self._config_get('bold')
def fontWeight(self, text: str):
self._config(text, js_ty... |
def test_no_opts():
runner = CliRunner()
result = runner.invoke(pipeline)
assert ('run Run a pipeline in your local environment' in result.output)
assert ('submit Submit a pipeline to be executed on the server' in result.output)
assert ('describe Display pipeline summary' in result.output)... |
def test_sa():
K = bytearray.fromhex('10f2e5d6c9a2630580a960856f66b029')
C_S = bytearray.fromhex('b0bc5f422f00c64c38e')
C_M = bytearray.fromhex('a79060aa4f4638d907e261b4a5a3c612')
BTADD_S = bytearray.fromhex('404e36a8bf5f')
BTADD_M = bytearray.fromhex('20819A076931')
SRES_S = bytearray.fromhex('... |
.parametrize('lang', wikiquote.supported_languages())
def test_qotd_author(lang):
try:
(_, author) = wikiquote.quote_of_the_day(lang=lang)
except wikiquote.MissingQOTDException:
pytest.skip('No QOTD for {lang}'.format(lang=lang))
assert isinstance(author, str)
assert (len(author) > 0) |
(firedrake.MixedVectorSpaceBasis)
def coarsen_mixedvectorspacebasis(mspbasis, self, coefficient_mapping=None):
coarse_V = self(mspbasis._function_space, self, coefficient_mapping=coefficient_mapping)
coarse_bases = []
for basis in mspbasis._bases:
if isinstance(basis, firedrake.VectorSpaceBasis):
... |
def badge_role(role, rawtext, text, lineno, inliner, options={}, content=[]):
try:
(args, kwargs) = string_to_func_inputs(text)
(text, classes) = get_badge_inputs(*args, **kwargs)
except Exception as err:
msg = inliner.reporter.error(f'badge input is invalid: {err}', line=lineno)
... |
class RuleDecoratorMeta(type):
def __new__(metaclass, name, bases, namespace):
def unvisit(name):
return (name[6:] if name.startswith('visit_') else name)
methods = [v for (k, v) in namespace.items() if (hasattr(v, '_rule') and isfunction(v))]
if methods:
from parsimo... |
def test_workflow_execution_data_response():
input_blob = _common_models.UrlBlob('in', 1)
output_blob = _common_models.UrlBlob('out', 2)
obj = _execution.WorkflowExecutionGetDataResponse(input_blob, output_blob, _INPUT_MAP, _OUTPUT_MAP)
obj2 = _execution.WorkflowExecutionGetDataResponse.from_flyte_idl(o... |
def guess_own_iface(match_ips):
if (len(match_ips) == 0):
return None
for iface in ni.interfaces():
ifa = ni.ifaddresses(iface)
if ((ni.AF_LINK not in ifa) or (len(ifa[ni.AF_LINK]) == 0)):
logging.debug('{} is has no MAC address, skipped.'.format(iface))
continue
... |
class EngineGraph():
def __init__(self, state: Dict):
self._state = state
def __str__(self):
return yaml.dump(self._state)
def create(cls, actuators: Optional[List[Dict]]=None, sensors: Optional[List[Dict]]=None):
nodes = []
from eagerx.core.entities import EngineNode
... |
def exec_composed_command(command: str, line_objs: List[LineMatch]) -> None:
if (not command):
edit_files(line_objs)
return
logger.add_event('command_on_num_files', len(line_objs))
command = compose_command(command, line_objs)
append_alias_expansion()
append_if_invalid(line_objs)
... |
class Node_Monitoring(PrometheusNodeMetrics):
def __init__(self):
super().__init__()
self.dashboards = ['default', 'pvc']
def list_dashboards(self):
print(self.dashboards)
def display_dashboard(self, dashboard, node_name):
if (dashboard not in self.dashboards):
pr... |
def _handle_error_while_loading_component_generic_error(configuration: ComponentConfiguration, e: Exception) -> None:
e_str = parse_exception(e)
raise AEAPackageLoadingError('Package loading error: An error occurred while loading {} {}: {}'.format(str(configuration.component_type), configuration.public_id, e_st... |
def extractTaidatranslationsWordpressCom(item):
(vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title'])
if ((not (chp or vol)) or ('preview' in item['title'].lower())):
return None
tagmap = [('Nightmare Game', 'Nightmare Game', 'translated'), ('Escape the Chamber', 'Escape the Ch... |
.parametrize('key_encoding', (compute_extension_key, compute_leaf_key))
def test_TraversedPartialPath_keeps_node_value(key_encoding):
node_key = (0, 15, 9)
untraversed_tail = node_key[:1]
remaining_key = node_key[1:]
node_value = b'unicorns'
node = annotate_node([key_encoding(node_key), node_value])... |
class FileField(Field):
default_error_messages = {'required': _('No file was submitted.'), 'invalid': _('The submitted data was not a file. Check the encoding type on the form.'), 'no_name': _('No filename could be determined.'), 'empty': _('The submitted file is empty.'), 'max_length': _('Ensure this filename has ... |
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