code stringlengths 281 23.7M |
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class OptionSeriesHistogramDragdropGuideboxDefault(Options):
def className(self):
return self._config_get('highcharts-drag-box-default')
def className(self, text: str):
self._config(text, js_type=False)
def color(self):
return self._config_get('rgba(0, 0, 0, 0.1)')
def color(self... |
def extractTranslatingboredomWordpressCom(item):
(vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title'])
if ((not (chp or vol)) or ('preview' in item['title'].lower())):
return None
tagmap = [('rcfn chapters', 'Rebirth of a Cannon Fodder in a Novel', 'translated'), ('rcfn', 'Rebi... |
_toolkit([ToolkitName.qt, ToolkitName.wx])
class TestCustomImageEnumEditor(BaseTestMixin, unittest.TestCase):
def setUp(self):
BaseTestMixin.setUp(self)
def tearDown(self):
BaseTestMixin.tearDown(self)
def setup_gui(self, model, view):
with create_ui(model, dict(view=view)) as ui:
... |
def generate_test_paths(n_samples, dq_H_E, dq_B_W, paths_start_at_origin=True, include_outliers_B_H=False, outlier_probability_B_H=0.1, include_noise_B_H=False, noise_sigma_trans_B_H=0.01, noise_sigma_rot_B_H=0.1, include_outliers_W_E=False, outlier_probability_W_E=0.1, include_noise_W_E=False, noise_sigma_trans_W_E=0.... |
def test_warn_if_transform_df_contains_categories_not_seen_in_fit(df_enc, df_enc_rare):
msg = 'During the encoding, NaN values were introduced in the feature(s) var_A.'
with pytest.warns(UserWarning) as record:
encoder = WoEEncoder(unseen='ignore')
encoder.fit(df_enc[['var_A', 'var_B']], df_enc[... |
def _validate_rule(action_type: Optional[str], storage_destination_id: Optional[str], masking_strategy: Optional[Dict[(str, Union[(str, Dict[(str, str)])])]]) -> None:
if (not action_type):
raise common_exceptions.RuleValidationError('action_type is required.')
if (action_type == ActionType.erasure.valu... |
def test_request_stream(test_client_factory):
async def app(scope, receive, send):
request = Request(scope, receive)
body = b''
async for chunk in request.stream():
body += chunk
response = JSONResponse({'body': body.decode()})
(await response(scope, receive, send... |
class LoggingFormatVersionInteger(ModelNormal):
allowed_values = {('format_version',): {'v1': 1, 'v2': 2}}
validations = {}
_property
def additional_properties_type():
return (bool, date, datetime, dict, float, int, list, str, none_type)
_nullable = False
_property
def openapi_types(... |
def eval_function_completions(responses: List[str], definition: str, test: Optional[str]=None, entry_point: Optional[str]=None, assertions: Optional[Union[(str, Callable[([str], Tuple[(str, float)])])]]=None, timeout: Optional[float]=3, use_docker: Optional[bool]=True) -> Dict:
n = len(responses)
if (assertions... |
class BeaconConfig():
def __init__(self, config_block: bytes) -> None:
self.config_block: bytes = config_block
self.settings_tuple = tuple(iter_settings(config_block))
self.xorkey: Optional[bytes] = None
self.xorencoded: bool = False
self.pe_export_stamp: Optional[int] = None... |
class SubclassDefaultsSuper(HasTraits):
a_str = Str()
an_expr = Expression('[]')
a_list = List()
an_instance = Instance(Wrapper)
a_wrapper_1 = WrapperTrait('bar')
a_wrapper_2 = WrapperTrait()
clone_wrapper_1 = CloneWrapperTrait('bar')
clone_wrapper_2 = CloneWrapperTrait()
disallow_de... |
def fill_axis(xs: List[int], values: List[Bytes32], length: int) -> List[Bytes32]:
data = [[bytes_to_int(a[i:(i + (FIELD_ELEMENT_BITS // 8))]) for a in values] for i in range(0, 32, (FIELD_ELEMENT_BITS // 8))]
newdata = [fill(xs, d, length) for d in data]
return [b''.join([int_to_bytes(n[i], (FIELD_ELEMENT_... |
_register_make
_set_nxm_headers([ofproto_v1_0.NXM_OF_IP_DST, ofproto_v1_0.NXM_OF_IP_DST_W])
_field_header([ofproto_v1_0.NXM_OF_IP_DST, ofproto_v1_0.NXM_OF_IP_DST_W])
class MFIPDst(MFField):
pack_str = MF_PACK_STRING_BE32
def __init__(self, header, value, mask=None):
super(MFIPDst, self).__init__(header,... |
class sdict(Dict[(KT, VT)]):
__slots__ = ()
__setattr__ = dict.__setitem__
__delattr__ = dict.__delitem__
__getitem__ = dict.get
def __getattr__(self, key: str) -> Optional[VT]:
if key.startswith('__'):
raise AttributeError
return self.get(key, None)
__repr__ = (lambd... |
def tickets_view(page, is_my_view=False, subscribed=False):
form = SearchTicketForm()
status = request.args.get('status')
department = request.args.get('department')
category = request.args.get('category')
content = request.args.get('content')
user_id = request.args.get('user_id')
assigned_i... |
def validate_bls_withdrawal_credentials(bls_withdrawal_credentials: str) -> bytes:
bls_withdrawal_credentials_bytes = normalize_bls_withdrawal_credentials_to_bytes(bls_withdrawal_credentials)
if is_eth1_address_withdrawal_credentials(bls_withdrawal_credentials_bytes):
raise ValidationError((load_text(['... |
(np.multiply)
def mul(x, y, out=None, out_like=None, sizing='optimal', method='raw', **kwargs):
def _mul_raw(x, y, n_frac):
precision_cast = ((lambda m: np.array(m, dtype=object)) if (n_frac >= _n_word_max) else (lambda m: m))
raw_cast = ((lambda m: np.array(m, dtype=object)) if ((x.n_word + y.n_wor... |
def _check_surfer_integrity(field, shape, data_range):
if (field.shape != shape):
raise IOError("Grid shape {} doesn't match shape read from header {}.".format(field.shape, shape))
field_range = [field.min(), field.max()]
if (not np.allclose(field_range, data_range)):
raise IOError("Grid dat... |
def ModelFactory(name, RangeFactory):
class ModelWithRanges(HasTraits):
percentage = RangeFactory(0.0, 100.0)
open_closed = RangeFactory(0.0, 100.0, exclude_low=True)
closed_open = RangeFactory(0.0, 100.0, exclude_high=True)
open = RangeFactory(0.0, 100.0, exclude_low=True, exclude_h... |
def _leaf_detail_kind(kind: str) -> SharedTextKind:
text_kind = SharedTextKind.from_string(kind)
if (text_kind is None):
raise UserError(f'Invalid kind {kind}')
if (text_kind == SharedTextKind.source):
text_kind = SharedTextKind.source_detail
elif (text_kind == SharedTextKind.sink):
... |
class IPv6TransportEndpoints(TransportEndpointsBase):
def _addEndpoint(self, addr):
if (not udp6):
raise SnmpsimError('This system does not support UDP/IP6')
if ((addr.find(']:') != (- 1)) and (addr[0] == '[')):
(h, p) = addr.split(']:')
try:
(h, p... |
class TestWorkflowUtils(unittest.TestCase):
def setUp(self) -> None:
if (not os.path.exists(BLOB_DIR)):
os.mkdir(BLOB_DIR)
def tearDown(self) -> None:
if os.path.exists(BLOB_DIR):
shutil.rmtree(BLOB_DIR)
def test_extract_workflows_from_file(self):
workflows = ... |
def start_client():
body_snsr_loc_chrc[0].ReadValue({}, reply_handler=body_sensor_val_cb, error_handler=generic_error_cb, dbus_interface=GATT_CHRC_IFACE)
hr_msrmt_prop_iface = dbus.Interface(hr_msrmt_chrc[0], DBUS_PROP_IFACE)
hr_msrmt_prop_iface.connect_to_signal('PropertiesChanged', hr_msrmt_changed_cb)
... |
class OptionPlotoptionsPyramidSonificationPointgrouping(Options):
def algorithm(self):
return self._config_get('minmax')
def algorithm(self, text: str):
self._config(text, js_type=False)
def enabled(self):
return self._config_get(True)
def enabled(self, flag: bool):
self.... |
def generate_graph(workflow_meta: WorkflowMeta):
workflow_graph: AIGraph = extract_graph(workflow_meta)
(workflow_nodes, id_nodes, name_nodes) = build_nodes(workflow_graph)
(parent_edges, children_edges) = build_edges(workflow_graph, workflow_nodes, id_nodes, name_nodes)
return build_graph(name_nodes, p... |
class EfuseDefineRegisters(EfuseRegistersBase):
EFUSE_MEM_SIZE = (508 + 4)
DR_REG_EFUSE_BASE =
EFUSE_PGM_DATA0_REG = DR_REG_EFUSE_BASE
EFUSE_CHECK_VALUE0_REG = (DR_REG_EFUSE_BASE + 32)
EFUSE_CLK_REG = (DR_REG_EFUSE_BASE + 456)
EFUSE_CONF_REG = (DR_REG_EFUSE_BASE + 460)
EFUSE_STATUS_REG = (D... |
def test_default_keyword_in_message_and_keyword_only_in_message() -> None:
def f(a: int, *, b: bool, c: float=0.0) -> str:
pass
assert (parse_function_annotations(f, default_keyword_in_message=False, keyword_only_in_message=False) == ({'a': int}, {'sample': str}, False))
assert (parse_function_annot... |
class InstallWithCompile(install):
def run(self):
from babel.messages.frontend import compile_catalog
compiler = compile_catalog(self.distribution)
option_dict = self.distribution.get_option_dict('compile_catalog')
compiler.domain = [option_dict['domain'][1]]
compiler.directo... |
class MySink(Node):
TOPIC = Topic(ZMQMessage)
config: MySinkConfig
def setup(self) -> None:
self.output_file = open(self.config.output_filename, 'wb')
self.num_received = 0
(TOPIC)
async def sink(self, message: ZMQMessage) -> None:
self.output_file.write(message.data)
... |
class Wildcard(FunctionSignature):
name = 'wildcard'
argument_types = [TypeHint.String, TypeHint.String.require_literal()]
return_value = TypeHint.Boolean
additional_types = TypeHint.String.require_literal()
def to_regex(cls, *wildcards):
expressions = []
head = '^'
tail = '$... |
class OnEmailVerificationRequestedTask(TaskBase):
__name__ = 'on_email_verification_requested'
async def run(self, email_verification_id: str, workspace_id: str, code: str):
workspace = (await self._get_workspace(uuid.UUID(workspace_id)))
async with self.get_workspace_session(workspace) as sessi... |
_bp.route((app.config['FLICKET'] + 'ticket_create/'), methods=['GET', 'POST'])
_required
def ticket_create():
last_category = session.get('ticket_create_last_category')
form = CreateTicketForm(category=last_category)
if form.validate_on_submit():
new_ticket = FlicketTicketExt.create_ticket(title=for... |
def psc_test_data(db):
baker.make('search.AwardSearch', award_id=1, latest_transaction_id=1)
baker.make('search.AwardSearch', award_id=2, latest_transaction_id=2)
baker.make('search.AwardSearch', award_id=3, latest_transaction_id=3)
baker.make('search.AwardSearch', award_id=4, latest_transaction_id=4)
... |
class RoundedTriangleEdgeSettings(Settings):
absolute_params = {'height': 50.0, 'radius': 30.0, 'r_hole': 2.0}
relative_params = {'outset': 0.0}
def edgeObjects(self, boxes, chars: str='t', add: bool=True):
edges = [RoundedTriangleEdge(boxes, self), RoundedTriangleFingerHolesEdge(boxes, self)]
... |
def create_pixbuf_from_file_at_size(filename, width, height):
pixbuf = GdkPixbuf.Pixbuf.new_from_file_at_size(filename, width, height)
if ((pixbuf.get_width() != width) or (pixbuf.get_height() != height)):
pixbuf = pixbuf.scale_simple(width, height, GdkPixbuf.InterpType.BILINEAR)
return pixbuf |
class Listener(object):
uri = 'tcp://eddn-relay.elite-markets.net:9500'
supportedSchema = '
def __init__(self, zmqContext=None, minBatchTime=5.0, maxBatchTime=10.0, reconnectTimeout=180.0, burstLimit=200):
assert (burstLimit > 0)
if (not zmqContext):
zmqContext = zmq.Context()
... |
_converter(torch.ops.aten.avg_pool2d.default)
def aten_ops_avg_pool2d(target: Target, args: Tuple[(Argument, ...)], kwargs: Dict[(str, Argument)], name: str) -> ConverterOutput:
input_val = args[0]
if (not isinstance(input_val, AITTensor)):
raise RuntimeError(f'Non-tensor inputs for {name}: {input_val}'... |
def test_data_quality_test_conflict_prediction() -> None:
test_dataset = pd.DataFrame({'category_feature': ['n', 'n', 'p', 'n'], 'numerical_feature': [0, 0, 2, 5], 'prediction': [0, 1, 0, 1]})
mapping = ColumnMapping(categorical_features=['category_feature'], numerical_features=['numerical_feature'])
suite ... |
class FBCopyCommand(fb.FBCommand):
def name(self):
return 'copy'
def description(self):
return 'Copy data to your Mac.'
def options(self):
return [fb.FBCommandArgument(short='-f', long='--filename', arg='filename', help='The output filename.'), fb.FBCommandArgument(short='-n', long='... |
class Test_Core_Treeview(unittest.TestCase):
def test_renderer(self):
main_tree = Tree()
main_tree.dist = 0
(t, ts) = face_grid.get_example_tree()
t_grid = TreeFace(t, ts)
n = main_tree.add_child()
n.add_face(t_grid, 0, 'aligned')
(t, ts) = bubble_map.get_exam... |
class KiwoomOpenApiPlusManagerApplication(QObjectLogging):
class ConnectionStatus(Enum):
DISCONNECTED = 1
CONNECTED = 2
class ServerType(Enum):
SIMULATION = 1
REAL = 2
UNKNOWN = 3
class RestartType(Enum):
NO_RESTART = 1
RESTART_ONLY = 2
RESTART... |
class SourceMockup(Source):
def __init__(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
print(f'Climetlab SourceMockup : args={args}, kwargs={kwargs}')
super(SourceMockup, self).__init__(**kwargs)
def to_xarray(self, *args, **kwargs):
return TestingDatasetA... |
class LegacyWafUpdateStatus(ModelNormal):
allowed_values = {}
validations = {}
_property
def additional_properties_type():
return (bool, date, datetime, dict, float, int, list, str, none_type)
_nullable = False
_property
def openapi_types():
return {'completed_at': (str,), 'c... |
class TestMimeClient(ClientTestBase):
def test_reload_server_state(self):
data = self._fake_data(num_batches=1, batch_size=10)
clnt = self._get_mime_client(data)
self._test_reload_server_state(clnt)
def test_mime_generate_local_update(self):
data = self._fake_data(num_batches=5, ... |
class EmissionFactorTestCase(unittest.TestCase):
def test_emission_factors(self):
expected = {'battery charge': 0, 'battery discharge': 490., 'biomass': 230, 'coal': 820, 'gas': 490, 'geothermal': 38, 'hydro': 24, 'hydro charge': 0, 'hydro discharge': 490., 'nuclear': 12, 'oil': 650, 'solar': 45, 'unknown':... |
class WindllHandler(ClipboardHandlerBase):
def _copy(text: str) -> None:
from ctypes.wintypes import BOOL, DWORD, HANDLE, HGLOBAL, HINSTANCE, HMENU, HWND, INT, LPCSTR, LPVOID, UINT
windll = ctypes.windll
msvcrt = ctypes.CDLL('msvcrt')
safeCreateWindowExA = CheckedCall(windll.user32.C... |
(params=[('CG', 2, TensorFunctionSpace), ('BDM', 2, VectorFunctionSpace), ('Regge', 2, FunctionSpace)], ids=(lambda x: f'{x[2].__name__}({x[0]}{x[1]})'))
def tfs(request, parentmesh):
family = request.param[0]
if ((family != 'CG') and (parentmesh.ufl_cell().cellname() != 'triangle') and (parentmesh.ufl_cell().c... |
class scan(_coconut_has_iter):
__slots__ = ('func', 'initial')
def __new__(cls, function, iterable, initial=_coconut_sentinel):
self = _coconut.super(scan, cls).__new__(cls, iterable)
self.func = function
self.initial = initial
return self
def __repr__(self):
return (... |
.parametrize(('degree', 'family', 'tdim'), [(1, 'Lagrange', 3), (2, 'Lagrange', 3), (3, 'Lagrange', 3), (0, 'Quadrature', 2), (1, 'Quadrature', 2), (2, 'Quadrature', 2)])
def test_projection_symmetric_tensor(mesh, degree, family, tdim):
shape = (tdim, tdim)
remove = (2 if (tdim == 2) else [3, 6, 7])
if (fam... |
def print_result(data):
_table = '| %-4s | %-4s | %-30s | %-29s |'
print('\n* Found mice:')
print(('-' * 80))
print((_table % ('VID', 'PID', 'NAME', 'FULL NAME')))
print(('-' * 80))
for (pid, vid, name, full_name, _) in data:
print((_table % (pid, vid, name, full_name)))
print(('-' *... |
def _tf_odapi_client(image, ip, port, model_name, signature_name='detection_signature', input_name='inputs', timeout=300):
start_time = time()
result = _generic_tf_serving_client(image, ip, port, model_name, signature_name, input_name, timeout)
log('time taken for image shape {} is {} secs'.format(image.sha... |
class OptionPlotoptionsErrorbarSonificationContexttracksPointgrouping(Options):
def algorithm(self):
return self._config_get('minmax')
def algorithm(self, text: str):
self._config(text, js_type=False)
def enabled(self):
return self._config_get(True)
def enabled(self, flag: bool):... |
def youtube_recon(user_name):
if (not user_name):
return None
url = '
r = requests.get(url)
if (b'This channel does not exist.' in r.content):
return None
soup = BeautifulSoup(r.content, 'lxml')
avatar = soup.find('img', class_='channel-header-profile-image').get('src')
try:
... |
def test_file_format_getting_python_value():
transformer = TypeEngine.get_transformer(FlyteFile)
ctx = FlyteContext.current_context()
lv = Literal(scalar=Scalar(blob=Blob(metadata=BlobMetadata(type=BlobType(format='txt', dimensionality=0)), uri='file:///tmp/test')))
pv = transformer.to_python_value(ctx,... |
class TestMyRLAgent(GymTestCase):
def test_fit(self):
step_result = ('obs', 'reward', 'done', 'info')
with patch.object(ProxyEnv, 'reset') as mocked_reset:
with patch.object(ProxyEnv, 'step', return_value=step_result) as mocked_step:
with patch.object(ProxyEnv, 'close') a... |
class CancelCollection(View):
def post(self, request):
nid_list = request.POST.getlist('nid')
request.user.collects.remove(*nid_list)
article_query: QuerySet = Articles.objects.filter(nid__in=nid_list)
article_query.update(collects_count=(F('collects_count') - 1))
return redi... |
.benchmark
def test_birkholz_set_synthesis(fixture_store):
for (i, fix) in enumerate(fixture_store):
print(i, fix)
tot_cycles = 0
converged = 0
bags = fixture_store['results_bag']
for (k, v) in bags.items():
if (not k.startswith('test_birkholz_set')):
continue
pri... |
class OptionSeriesTreemapBreadcrumbsPosition(Options):
def align(self):
return self._config_get('left')
def align(self, text: str):
self._config(text, js_type=False)
def verticalAlign(self):
return self._config_get('top')
def verticalAlign(self, text: str):
self._config(t... |
def main():
rule_set = mh_style.get_rules()
rules = [rule() for rules in rule_set.values() for rule in rules]
mandatory_rules = [rule for rule in rules if rule.mandatory]
autofix_rules = [rule for rule in rules if ((not rule.mandatory) and rule.autofix)]
other_rules = [rule for rule in rules if ((no... |
class TestDescriptor(Descriptor):
TEST_DESC_UUID = '-1234-5678-1234-56789abcdef2'
def __init__(self, bus, index, characteristic):
Descriptor.__init__(self, bus, index, self.TEST_DESC_UUID, ['read', 'write'], characteristic)
def ReadValue(self, options):
return [dbus.Byte('T'), dbus.Byte('e')... |
class KeyBindingCtrl(QtGui.QLineEdit):
def __init__(self, editor, parent=None):
super().__init__(parent)
self.setFocusPolicy(QtCore.Qt.FocusPolicy.StrongFocus)
self.setMinimumWidth(160)
self.setMaximumWidth(160)
self.setReadOnly(True)
self.editor = editor
edit... |
class NamespaceVersioning(BaseVersioning):
invalid_version_message = _('Invalid version in URL path. Does not match any version namespace.')
def determine_version(self, request, *args, **kwargs):
resolver_match = getattr(request, 'resolver_match', None)
if ((resolver_match is not None) and resol... |
def clean_title(title) -> str:
ostype = platform.system()
if (ostype == 'Linux'):
title = title.replace('/', '_')
elif (ostype == 'Darwin'):
title = title.replace(':', ' ')
title = title.replace('\\', '_').replace('/', '_').replace('|', '_')
elif (ostype == 'Windows'):
ti... |
class OptionSeriesPictorialSonificationPointgrouping(Options):
def algorithm(self):
return self._config_get('minmax')
def algorithm(self, text: str):
self._config(text, js_type=False)
def enabled(self):
return self._config_get(True)
def enabled(self, flag: bool):
self._co... |
class OptionSeriesDependencywheelLabelStyle(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(... |
def get_registry_event_details(io, metadata, event, extra_detail_io):
path_info = read_detail_string_info(io)
details_info = dict()
if (event.operation in [RegistryOperation.RegLoadKey.name, RegistryOperation.RegRenameKey.name]):
details_info['new_path_info'] = read_detail_string_info(io)
ex... |
class OptionSeriesScatter3dDataDragdropDraghandle(Options):
def className(self):
return self._config_get('highcharts-drag-handle')
def className(self, text: str):
self._config(text, js_type=False)
def color(self):
return self._config_get('#fff')
def color(self, text: str):
... |
class OptionSeriesTreemapSonificationContexttracksPointgrouping(Options):
def algorithm(self):
return self._config_get('minmax')
def algorithm(self, text: str):
self._config(text, js_type=False)
def enabled(self):
return self._config_get(True)
def enabled(self, flag: bool):
... |
def benchmark():
collect_statistics(True)
baseurls = [CML_BASEURL_S3, CML_BASEURL_CDS]
requests = [{'param': 'r', 'time': '1000', 'step': '0'}, {'param': 'r', 'time': '1000'}, {'param': 'r', 'time': ['1100', '1200', '1300', '1400']}, {'param': ['r', 'z'], 'time': ['0200', '1000', '1800', '2300'], 'levelist'... |
def draw_scipy_ui(context: bpy.types.Context, layout: bpy.types.UILayout):
numpy_is_installed = moduleutil.is_installed('numpy')
scipy_is_installed = moduleutil.is_installed('scipy')
col = layout.column(align=True)
if scipy_is_installed:
col.label(text='SciPy is already installed', icon='INFO')
... |
class LevelModel(proteus.Transport.OneLevelTransport):
nCalls = 0
def __init__(self, uDict, phiDict, testSpaceDict, matType, dofBoundaryConditionsDict, dofBoundaryConditionsSetterDict, coefficients, elementQuadrature, elementBoundaryQuadrature, fluxBoundaryConditionsDict=None, advectiveFluxBoundaryConditionsSet... |
def anonymize_field(field: Dict[(str, Any)], named_schemas: NamedSchemas) -> Dict[(str, Any)]:
parsed_field: Dict[(str, Any)] = {}
if ('doc' in field):
parsed_field['doc'] = _md5(field['doc'])
if ('aliases' in field):
parsed_field['aliases'] = [_md5(alias) for alias in field['aliases']]
... |
class Conv2dBiasAct(Module):
def __init__(self, op_name, in_channels, out_channels, kernel_size, stride, padding=0, dilation=1, groups=1, dtype='float16'):
super().__init__()
self.weight = Parameter(shape=[out_channels, kernel_size, kernel_size, (in_channels // groups)], dtype=dtype)
self.bi... |
def force_print(is_distributed: bool, *args, **kwargs) -> None:
if is_distributed:
try:
device_info = f' [device:{torch.cuda.current_device()}]'
print(*args, device_info, **kwargs, force=True)
except TypeError:
pass
else:
print(*args, **kwargs) |
def to_rnn_dict_space_environment(env: str, rnn_steps: int) -> GymMazeEnv:
env = GymMazeEnv(env=env)
if (rnn_steps > 1):
stack_config = [{'observation': 'observation', 'keep_original': False, 'tag': None, 'delta': False, 'stack_steps': rnn_steps}]
env = ObservationStackWrapper.wrap(env, stack_co... |
def test_perturbation_medium():
pp_real = td.ParameterPerturbation(heat=td.LinearHeatPerturbation(coeff=(- 0.01), temperature_ref=300, temperature_range=(200, 500)))
pp_complex = td.ParameterPerturbation(heat=td.LinearHeatPerturbation(coeff=0.01j, temperature_ref=300, temperature_range=(200, 500)), charge=td.Li... |
def _validate_wh_allocation(warehouse_allocation: WHAllocation):
if (not warehouse_allocation):
return
so_codes = list(warehouse_allocation.keys())
so_item_data = frappe.db.sql('\n\t\t\tselect item_code, sum(qty) as qty, parent as sales_order\n\t\t\tfrom `tabSales Order Item`\n\t\t\twhere\n\t\t\t\tp... |
def parse_args(cli_args):
parser = argparse.ArgumentParser(description='Running sagemaker task')
(args, unknowns) = parser.parse_known_args(cli_args)
flyte_cmd = []
env_vars = {}
i = 0
while (i < len(unknowns)):
unknown = unknowns[i]
logging.info(f'Processing argument {unknown}')... |
class RealSupportDist(dist.Distribution):
has_enumerate_support = False
support = dist.constraints.real
has_rsample = True
arg_constraints = {}
def rsample(self, sample_shape):
return torch.zeros(sample_shape)
def log_prob(self, value):
return torch.zeros(value.shape) |
def miller_loop(Q: Point2D[FQ12], P: Point2D[FQ12]) -> FQ12:
if ((Q is None) or (P is None)):
return FQ12.one()
R = Q
f = FQ12.one()
for i in range(log_ate_loop_count, (- 1), (- 1)):
f = ((f * f) * linefunc(R, R, P))
R = double(R)
if (ate_loop_count & (2 ** i)):
... |
class ComponentTestB(Component):
name = 'test_b'
my_int = DBField(default=1)
my_list = DBField(default=[])
default_tag = TagField(default='initial_value')
single_tag = TagField(enforce_single=True)
multiple_tags = TagField()
default_single_tag = TagField(default='initial_value', enforce_sing... |
class SetVlanPcp(BaseModifyPacketTest):
def runTest(self):
actions = [ofp.action.set_field(ofp.oxm.vlan_pcp(2))]
pkt = simple_tcp_packet(dl_vlan_enable=True, vlan_pcp=1)
exp_pkt = simple_tcp_packet(dl_vlan_enable=True, vlan_pcp=2)
self.verify_modify(actions, pkt, exp_pkt) |
def plot_roc_auc(*, curr_roc_curve: dict, ref_roc_curve: Optional[dict], color_options: ColorOptions) -> List[Tuple[(str, BaseWidgetInfo)]]:
additional_plots = []
cols = 1
subplot_titles = ['']
current_color = color_options.get_current_data_color()
reference_color = color_options.get_reference_data_... |
def test_optional_prefix_re_cmd(testbot):
testbot.bot_config.BOT_PREFIX_OPTIONAL_ON_CHAT = False
assert ('bar' in testbot.exec_command('!plz dont match this'))
testbot.bot_config.BOT_PREFIX_OPTIONAL_ON_CHAT = True
assert ('bar' in testbot.exec_command('!plz dont match this'))
assert ('bar' in testbo... |
def record(oid, tag, value, **context):
if ('dbConn' in moduleContext):
db_conn = moduleContext['dbConn']
else:
raise error.SnmpsimError('variation module not initialized')
db_table = moduleContext['dbTable']
if context['stopFlag']:
raise error.NoDataNotification()
sql_oid = ... |
()
class _LiteDRAMPatternChecker(Module, AutoCSR):
def __init__(self, dram_port, init=[]):
(ashift, awidth) = get_ashift_awidth(dram_port)
self.start = Signal()
self.done = Signal()
self.ticks = Signal(32)
self.errors = Signal(32)
self.run_cascade_in = Signal(reset=1)... |
class OperatorListView(OperatorAbstractView):
def __init__(self, obj, filter_func=None):
assert isinstance(obj, list)
obj = RdyToFlattenList(obj)
super(OperatorListView, self).__init__(obj, filter_func)
def combine_related(self, field_name):
f = self._fields[field_name]
r... |
class UtilityFuncs():
def selHierarchy(root):
pm.select(root, hi=1)
return pm.ls(sl=1)
def renameHierarchy(hierarchy, name):
for s in hierarchy:
pm.rename(s, (name + '#'))
return hierarchy
def duplicateObject(object):
dup = pm.duplicate(object)
ret... |
class LeadGenPostSubmissionCheckResult(AbstractObject):
def __init__(self, api=None):
super(LeadGenPostSubmissionCheckResult, self).__init__()
self._isLeadGenPostSubmissionCheckResult = True
self._api = api
class Field(AbstractObject.Field):
api_call_result = 'api_call_result'
... |
class DualQuaternionOperations(unittest.TestCase):
def test_addition(self):
qr_1 = Quaternion(1.0, 2.0, 3.0, 4.0)
qt_1 = Quaternion(1.0, 3.0, 3.0, 0.0)
dq_1 = DualQuaternion(qr_1, qt_1)
qr_2 = Quaternion(3.0, 5.0, 3.0, 2.0)
qt_2 = Quaternion((- 4.0), 2.0, 3.0, 0.0)
dq... |
class OptionSeriesPyramid3dMarker(Options):
def enabled(self):
return self._config_get(None)
def enabled(self, flag: bool):
self._config(flag, js_type=False)
def enabledThreshold(self):
return self._config_get(2)
def enabledThreshold(self, num: float):
self._config(num, j... |
_init.register_param_type
class param_supported_addr(param):
_VALUE_STR = '!H'
_VALUE_LEN = struct.calcsize(_VALUE_STR)
def param_type(cls):
return PTYPE_SUPPORTED_ADDR
def __init__(self, value=None, length=0):
if (not isinstance(value, list)):
value = [value]
for one... |
class OptionSeriesPolygonStatesSelectHalo(Options):
def attributes(self):
return self._config_get(None)
def attributes(self, value: Any):
self._config(value, js_type=False)
def opacity(self):
return self._config_get(0.25)
def opacity(self, num: float):
self._config(num, j... |
class OptionSeriesOrganizationStatesSelect(Options):
def animation(self) -> 'OptionSeriesOrganizationStatesSelectAnimation':
return self._config_sub_data('animation', OptionSeriesOrganizationStatesSelectAnimation)
def borderColor(self):
return self._config_get('#000000')
def borderColor(self... |
def get_segment_vafs(variants, segments):
if segments:
chunks = variants.by_ranges(segments)
else:
chunks = [(None, variants)]
for (seg, seg_snvs) in chunks:
freqs = seg_snvs['alt_freq'].values
idx_above_mid = (freqs > 0.5)
for idx_vaf in (idx_above_mid, (~ idx_above_... |
_toolkit([ToolkitName.qt, ToolkitName.wx])
class TestCustomCheckListEditor(BaseTestMixin, unittest.TestCase):
def setUp(self):
BaseTestMixin.setUp(self)
def tearDown(self):
BaseTestMixin.tearDown(self)
def setup_gui(self, model, view):
with create_ui(model, dict(view=view)) as ui:
... |
def check_heading_slug_func(inst: 'MdParserConfig', field: dc.Field, value: Any) -> None:
if (value is None):
return
if isinstance(value, str):
try:
(module_path, function_name) = value.rsplit('.', 1)
mod = import_module(module_path)
value = getattr(mod, funct... |
class _DummyService(BaseService):
service_name = 'dummy'
def __init__(self, exec_args, *args, **kwargs):
super().__init__(*args, exec_args=exec_args, timeout=10, **kwargs)
def start(self):
assert (self._proc is not None)
self._proc.start()
def join(self):
self.wait() |
def test_session_edit_locked_allow_organizer(db, client, user, jwt):
session = get_session(db, user, event_owner=True, is_locked=True)
data = json.dumps({'data': {'type': 'session', 'id': str(session.id), 'attributes': {'title': 'Sheesha'}}})
response = client.patch(f'/v1/sessions/{session.id}', content_typ... |
('config_type', ['strict'])
def test_missing_envs_not_required_in_strict_mode(config, json_config_file_3):
with open(json_config_file_3, 'w') as file:
file.write(json.dumps({'section': {'undefined': '${UNDEFINED}'}}))
config.from_json(json_config_file_3, envs_required=False)
assert (config.section.u... |
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