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(params=MINING_MAINNET_VMS[0:9])
def pre_london_miner(request, base_db, genesis_state):
vm_under_test = request.param
klass = _configure_mining_chain('EndsBeforeLondon', MINING_MAINNET_VMS[0], vm_under_test)
header_fields = dict(difficulty=1, gas_limit=100000)
return klass.from_genesis(base_db, header_f... |
def test_describe_description(f):
ln = f.object('LONG-NAME', 'SHORT-LONG-NAME', 10, 0)
case1 = ' Description\n --\n Quantity : diameter\n and stuff\n Source part number : 10\n\n'
buf = StringIO()
exclude = parseoptions('e')
describe_description(buf, ln, width=31, inden... |
class UserFavouriteEventList(ResourceList):
def query(self, view_kwargs):
query_ = self.session.query(UserFavouriteEvent)
if (view_kwargs.get('user_id') is not None):
user = safe_query_kwargs(User, view_kwargs, 'user_id')
query_ = query_.join(User).filter((User.id == user.id)... |
def _serialize(oxx, mod, n, value, mask, buf, offset):
(n, exp_hdr) = _make_exp_hdr(oxx, mod, n)
exp_hdr_len = len(exp_hdr)
value_len = len(value)
if mask:
assert (value_len == len(mask))
pack_str = ('!I%ds%ds%ds' % (exp_hdr_len, value_len, len(mask)))
msg_pack_into(pack_str, buf... |
class RingControl(Module):
def __init__(self, pad, mode, nleds, sys_clk_freq):
self.bus = bus = wishbone.Interface(data_width=32)
color = Signal(24, reset=32768)
version = Constant(((MAJOR << 8) + MINOR))
self.sync += If((((bus.cyc & bus.stb) & bus.we) & (bus.adr[0:3] == 0)), color.e... |
def extractThenoobtranslatorEpizyCom(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_t... |
_mode()
def generate_output_ex(model, tokenizer, params, device, context_len=2048, stream_interval=2):
prompt = params['prompt']
temperature = float(params.get('temperature', 1.0))
max_new_tokens = int(params.get('max_new_tokens', 2048))
stop_parameter = params.get('stop', None)
if (stop_parameter =... |
class HashPointPenTest(object):
def test_addComponent(self):
pen = HashPointPen(_TestGlyph().width, {'a': _TestGlyph()})
pen.addComponent('a', (2, 0, 0, 3, (- 10), 5))
assert (pen.hash == 'w500[l0+0l10+110o50+75o60+50c50+0|(+2+0+0+3-10+5)]')
def test_NestedComponents(self):
pen =... |
def test_h5_1():
R1 = bytearray.fromhex('d5cb8454d177733effffb2ec712baeab')
R2 = bytearray.fromhex('a6e8e7cc25a75f6e216583f7ff3dc4cf')
W = bytearray.fromhex('b089c4e39d7c192c3aba3c2109d24c0d')
DAK = W
(ComputedHash, ComputedSRESm, ComputedSRESs, ComputedACO) = h5(DAK, R1, R2)
Hash = bytearray.fr... |
def coulomb3d_30(ax, da, A, bx, db, B, R):
result = numpy.zeros((10, 1), dtype=float)
x0 = (ax + bx)
x1 = (x0 ** (- 1.0))
x2 = ((- x1) * ((ax * A[0]) + (bx * B[0])))
x3 = (x2 + A[0])
x4 = (x2 + R[0])
x5 = ((- x1) * ((ax * A[1]) + (bx * B[1])))
x6 = (x5 + R[1])
x7 = ((- x1) * ((ax * A... |
class ListView(AbstractView):
__gtype_name__ = 'ListView'
name = 'listview'
use_plugin_window = False
def __init__(self):
super(ListView, self).__init__()
self.view = self
self._has_initialised = False
self.show_policy = ListShowingPolicy(self)
def initialise(self, so... |
class ErsiliaCloner(ErsiliaBase):
def __init__(self, config_json=None):
ErsiliaBase.__init__(self, config_json=config_json)
checker = Checker()
checker._package_path()
self.development_path = checker.get_development_path()
def clone(self, path, version):
path_repo = os.pa... |
def _setup_logging(clsid):
global _logging_configured
if _logging_configured:
return
_logging_configured = True
try:
hkey = winreg.OpenKey(winreg.HKEY_CLASSES_ROOT, ('CLSID\\%s\\Logging' % clsid))
except WindowsError:
return
from comtypes.logutil import NTDebugHandler
... |
class OptionPlotoptionsWaterfallAccessibility(Options):
def description(self):
return self._config_get(None)
def description(self, text: str):
self._config(text, js_type=False)
def descriptionFormat(self):
return self._config_get(None)
def descriptionFormat(self, text: str):
... |
.xfail(reason='Test case should fail because of wrong input.')
def test_interaction_bigwig_fail():
outfile = NamedTemporaryFile(suffix='.tar.gz', delete=False)
outfile.close()
args = '-f {} -o {} -om {} -oft {}'.format((ROOT + 'chicViewpoint/two_matrices.hdf5'), outfile.name, 'all', 'bigwig').split()
ch... |
def extractPeppermintiiTumblrCom(item):
(vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title'])
if ((not (chp or vol)) or ('preview' in item['title'].lower())):
return None
tagmap = [('18+OGPC', '18 Kin otome gemu de, teiso o mamorinukimasu!', 'translated')]
for (tagname, nam... |
class HandlerBaseTest():
def setUp(self):
self.handler = None
self.data = {'filename': 'tests/yaml/hello-world.txt', 'content': '', 'metadata': {}}
def read_from_tests(self):
with open(self.data['filename']) as f:
return f.read()
def test_external(self):
filename ... |
def extractGreenpandatrCom(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 ta... |
class OptionPlotoptionsSeriesSonificationTracksMappingVolume(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):
sel... |
def get_cat_talents(cat_talents: list[dict[(str, Any)]], cat_talent_data: dict[(str, Any)]) -> dict[(Any, Any)]:
data: dict[(Any, Any)] = {}
letter_order = find_order(cat_talents, cat_talent_data)
for (i, letter) in enumerate(letter_order):
cat_data = {}
if (letter == 'F'):
text_... |
def _get_python_id(python, gitinfo=None):
m = hashlib.sha256()
if gitinfo:
_hash_file('pyconfig.h', m, gitinfo)
_hash_file(os.path.join('Misc', 'python-config.sh'), m, gitinfo)
(_, rev) = gitinfo
m.update(rev.encode('utf-8'))
else:
_hash_file(python, m)
return m.h... |
class CropBoxAug(aug.Augmentation):
def __init__(self, box_scale_factor: float=1.0):
super().__init__()
self.box_scale_factor = box_scale_factor
def get_transform(self, image: np.ndarray, boxes: np.ndarray) -> Transform:
assert (boxes.shape[0] == 1)
assert isinstance(image, np.nd... |
.parametrize(('testcase', 'convrate'), [(('S', 1, (4, 6)), 1.9), (('S', 2, (3, 5)), 2.8), (('S', 3, (2, 4)), 3.8), (('S', 4, (2, 4)), 4.7)])
def test_scalar_convergence(extmesh, testcase, convrate):
(family, degree, (start, end)) = testcase
l2err = np.zeros((end - start))
for ii in [(i + start) for i in ran... |
def render_repositories(*_args, **_kwargs):
owner = flask.g.user
projects = ComplexLogic.get_coprs_permissible_by_user(owner)
projects = sorted(projects, key=(lambda p: p.full_name))
OutdatedChrootsLogic.make_review(owner)
db.session.commit()
return flask.render_template('repositories.html', tas... |
.parametrize('ops', [NumpyOps(), NumpyOps(use_blis=True)])
def test_chain(ops):
data = numpy.asarray([[1, 2, 3, 4]], dtype='f')
model = chain(Linear(1), Dropout(), Linear(1))
model.ops = ops
model.initialize(data, data)
(Y, backprop) = model(data, is_train=True)
backprop(Y)
model = chain(Lin... |
class NonlinearDAE(DAE_base):
def __init__(self, a, p):
self.a_ = a
self.p_ = p
if (self.p_ == 1):
self.func = (lambda t: exp(((- self.a_) * t)))
else:
q = old_div(1.0, (1.0 - self.p_))
self.func = (lambda t: (max((1.0 - (((1.0 - self.p_) * self.a_... |
def main():
print('transfer EOS token from [consumer1111] to [consumer2222] by eosapi')
trx = {'actions': [{'account': 'eosio.token', 'name': 'transfer', 'authorization': [{'actor': account_name, 'permission': 'active'}], 'data': {'from': account_name, 'to': 'consumer2222', 'quantity': '0.0001 EOS', 'memo': 'by... |
('pyscf')
.parametrize('bonds, ref_cycle', [(None, 8), ([[1, 2, (- 1)], [2, 0, 1]], 8)])
def test_dimer_hcn(bonds, ref_cycle):
geom = geom_loader('lib:baker_ts/01_hcn.xyz')
ref_energy = (- 92.24604)
N_raw = ' 0.5858 0. 0.0543 -0.7697 -0. 0.061 0.2027 0. -0.1295'.split()
if (bonds is not ... |
class OptionSeriesBellcurveSonificationDefaultinstrumentoptionsMappingTremoloDepth(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, t... |
def test_builder_pins_manifest_to_provided_ipfs_backend(backend, request):
if (not request.config.getoption('--integration')):
pytest.skip('Not asked to run integration tests')
minified_manifest_hash = 'QmVwwpt2BAkmWQt4eNnswhWd6bYgLbnUQDMHdVMHotwiqz'
(manifest,) = b.build({}, b.package_name('package... |
class Evaluator(object):
def __init__(self, *larg, **karg):
self._env = dict(*larg, **karg)
self.attached = []
def __call__(self, expr, locals={}):
return eval(expr, self._env, locals)
def declare(self, stmt, locals=None):
exec(stmt, self._env, locals)
def attach(self, ot... |
def test_overfitting_IO():
nlp = English.from_config()
nlp.add_pipe('sentencizer')
nlp.add_pipe('experimental_arc_predicter')
nlp.add_pipe('experimental_arc_labeler')
train_examples = []
for t in TRAIN_DATA:
train_examples.append(Example.from_dict(nlp.make_doc(t[0]), t[1]))
optimizer... |
def extractLofnsquickmtlWordpressCom(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_t... |
def has_to_build(output_file: Path, input_file: Path):
output_file = PathSeq(output_file)
input_file = PathSeq(input_file)
if (not output_file.exists()):
return True
mod_date_output = modification_date(output_file)
if (mod_date_output < modification_date(input_file)):
return True
... |
class RMTTestRecordTxt2(object):
def rmttest_pos_01(self):
txt_doc = TxtRecord.from_string('', 'Nothing', TxtIOConfig())
assert (0 == len(txt_doc))
assert ('' == txt_doc.get_comment())
def rmttest_neg_01(self):
mstderr = StringIO()
init_logger(mstderr)
txt_doc = T... |
class OptionPlotoptionsTimelineDatalabels(Options):
def align(self):
return self._config_get('center')
def align(self, text: str):
self._config(text, js_type=False)
def allowOverlap(self):
return self._config_get(True)
def allowOverlap(self, flag: bool):
self._config(flag... |
def state_data(db):
award_old = baker.make('search.AwardSearch', award_id=1, type='07')
award_old2 = baker.make('search.AwardSearch', award_id=2, type='08')
baker.make('search.TransactionSearch', transaction_id=1, award=award_old, pop_state_code='TS', pop_country_code='USA', federal_action_obligation=100000... |
class HModeling(Estimator, HasInputCol, HasOutputCols, DefaultParamsReadable, DefaultParamsWritable):
model = Param(Params._dummy(), 'model', 'model')
_only
def __init__(self, inputCol=None, model=None):
super(HModeling, self).__init__()
self._setDefault(model=None)
kwargs = self._in... |
class OptionSeriesBubbleSonificationTracksMappingPitch(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('y')
def mapTo(self, text: str):
self._conf... |
class RFM69(object):
def __init__(self, freqBand, nodeID, networkID, isRFM69HW=False, intPin=18, rstPin=22, spiBus=0, spiDevice=0):
self.freqBand = freqBand
self.address = nodeID
self.networkID = networkID
self.isRFM69HW = isRFM69HW
self.intPin = intPin
self.rstPin = ... |
class Align(GenericAlign):
def __init__(self, input):
super(Align, self).__init__(input)
def run_alignment(self, clean=True):
(fd, aln) = tempfile.mkstemp(suffix='.muscle')
os.close(fd)
cmd = [get_user_path('binaries', 'muscle'), '-in', self.input, '-out', aln]
proc = sub... |
class ReqOwner(ReqTagGeneric):
def __init__(self, config):
ReqTagGeneric.__init__(self, config, 'Owner', set([InputModuleTypes.ctstag, InputModuleTypes.reqtag, InputModuleTypes.testcase]))
def rewrite(self, rid, req):
self.check_mandatory_tag(rid, req, 10)
tcontent = req[self.get_tag()].... |
def test_equivalent_sources_points_depth(points, coordinates_small, data_small):
(easting, northing, upward) = coordinates_small[:]
eqs = EquivalentSources(depth=1300.0, depth_type='constant')
eqs.fit(coordinates_small, data_small)
expected_points = vdb.n_1d_arrays((easting, northing, ((- 1300.0) * np.o... |
class TestRandomRecDataModule(testslide.TestCase):
def test_manual_seed_generator(self) -> None:
dm1 = RandomRecDataModule(manual_seed=353434, min_ids_per_features=2)
iterator1 = iter(dm1.init_loader)
dm2 = RandomRecDataModule(manual_seed=353434, min_ids_per_features=2)
iterator2 = i... |
_converter(torch.ops.aten.split_with_sizes.default)
_converter(torch.ops.aten.split.Tensor)
def aten_ops_split(target: Target, args: Tuple[(Argument, ...)], kwargs: Dict[(str, Argument)], name: str) -> ConverterOutput:
input_val = args[0]
if (not isinstance(input_val, AITTensor)):
raise ValueError(f'Non... |
class Config():
default = {'savepath': 'download', 'runafterdownload': '', 'libraryautocheck': 'true', 'autocheck_interval': '24', 'autosave': '5', 'errorlog': 'false', 'lastcheckupdate': '0', 'selectall': 'true', 'mission_conflict_action': 'update'}
def __init__(self, path):
self.path = expanduser(path... |
class LocalWorkerManager(WorkerManager):
def __init__(self, register_func: RegisterFunc=None, deregister_func: DeregisterFunc=None, send_heartbeat_func: SendHeartbeatFunc=None, model_registry: ModelRegistry=None, host: str=None, port: int=None) -> None:
self.workers: Dict[(str, List[WorkerRunData])] = dict(... |
def aggregate_spans(spans):
breakdown = {}
tasks = {}
nodes = {}
workflows = {}
for span in spans:
id_type = span.WhichOneof('id')
if (id_type == 'operation_id'):
operation_id = span.operation_id
start_time = datetime.fromtimestamp((span.start_time.seconds + (... |
class Controller(lg.Node):
KEYS_TOPIC = lg.Topic(KeysMessage)
DISPLAY_TOPIC = lg.Topic(DisplayMessage)
def setup(self) -> None:
self._keys = None
(KEYS_TOPIC)
def set_keys(self, message: KeysMessage) -> None:
self._keys = message.keys
(DISPLAY_TOPIC)
async def control(self) -... |
def test_deepcopy_attributes():
provider = providers.Factory(Example)
dependent_provider1 = providers.Factory(list)
dependent_provider2 = providers.Factory(dict)
provider.add_attributes(a1=dependent_provider1, a2=dependent_provider2)
provider_copy = providers.deepcopy(provider)
dependent_provide... |
class LLMCacheClient(CacheClient[(LLMCacheKeyData, LLMCacheValueData)]):
def __init__(self, cache_manager: CacheManager) -> None:
super().__init__()
self._cache_manager: CacheManager = cache_manager
async def get(self, key: LLMCacheKey, cache_config: Optional[CacheConfig]=None) -> Optional[LLMCa... |
def perm(accessing_obj, accessed_obj, *args, **kwargs):
try:
permission = args[0].lower()
perms_object = accessing_obj.permissions.all()
except (AttributeError, IndexError):
return False
gtmode = kwargs.pop('_greater_than', False)
is_quell = False
account = (utils.inherits_fr... |
def bump(arguments: argparse.Namespace) -> int:
new_plugin_versions = parse_plugin_versions(arguments.plugin_new_version)
logging.info(f'Parsed arguments: {arguments}')
logging.info(f'Parsed plugin versions: {new_plugin_versions}')
have_updated_specifier_set = False
if (arguments.new_version is not ... |
def dispatch_delete(cfg):
what = cfg.opts('system', 'delete.config.option')
if (what == 'race'):
metrics.delete_race(cfg)
elif (what == 'annotation'):
metrics.delete_annotation(cfg)
else:
raise exceptions.SystemSetupError(('Cannot delete unknown configuration option [%s]' % what)... |
class Wrapper(Filter):
filter = Instance(PipelineBase, allow_none=False, record=True)
label_text = Str('Enable Filter')
enabled = Bool(True, desc='if the filter is enabled or not')
_show_enabled = Bool(False)
def __set_pure_state__(self, state):
children = [f for f in [self.filter] if (f is ... |
class TestConsentRequestReporting():
(scope='function')
def url(self) -> str:
return f'{V1_URL_PREFIX}{CONSENT_REQUEST_PREFERENCES}'
def test_consent_request_report_wrong_scope(self, url, generate_auth_header, api_client):
auth_header = generate_auth_header(scopes=[])
response = api_... |
class OptionSeriesVariablepieLabel(Options):
def boxesToAvoid(self):
return self._config_get(None)
def boxesToAvoid(self, value: Any):
self._config(value, js_type=False)
def connectorAllowed(self):
return self._config_get(False)
def connectorAllowed(self, flag: bool):
sel... |
class CustomDataTest(TestCase):
def test_normalize(self):
content = Content(product_id='id0', quantity='quantity1', item_price=3.99)
custom_properties = {'custom1': 'property1', 'custom2': 'property2'}
delivery_category = DeliveryCategory.CURBSIDE
expected = {'value': 0.5, 'currency'... |
def lazy_import():
from fastly.model.type_waf_exclusion import TypeWafExclusion
from fastly.model.waf_exclusion_data import WafExclusionData
from fastly.model.waf_exclusion_response_data_all_of import WafExclusionResponseDataAllOf
from fastly.model.waf_exclusion_response_data_attributes import WafExclus... |
class TwoWire():
I2C_SLAVE = 1795
def __init__(self, i2c_bus_num=1, i2c_address=0):
self.busy = False
self.i2c_address = int(i2c_address)
self.i2c_bus_num = (- 1)
self.i2cr = None
self.iid = (- 1)
self.queue = []
self.enddelay = 0.001
if (self.i2c_... |
def main():
rng = Random.new().read
print('Enter challenge pin from site: ')
pin = input()
print('Signing "{}" with a new RSA key....'.format(pin))
RSAkey = RSA.generate(1024, rng)
signature = RSAkey.sign(int(pin), rng)
key_params = RSAkey.__getstate__()
print_twitter(signature[0])
p... |
(boundscheck=False, wraparound=False, cdivision=True, nonecheck=False)
def brightness(img: Auint8, stateimg: Auint8, factor: float, offset: int):
height = img.shape[0]
width = img.shape[1]
lut: A1dC = np.empty(256, dtype=np.uint8)
for k in range(256):
op_result = ((k * factor) + offset)
... |
class Builder():
def build(self, o):
m = getattr(self, ('build_' + o.__class__.__name__), None)
if (m is None):
raise UnknownType(o.__class__.__name__)
return m(o)
def build_List(self, o):
return list(map(self.build, o.getChildren()))
def build_Const(self, o):
... |
class AMFFunction(models.Model):
aMFIdentifier = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=True)
pLMNIdList = models.ManyToManyField(PLMNIdList, related_name='pLMNIdListId_AMFFunction')
sBIFQDN = models.TextField()
sBIServiceList = models.TextField()
weightFactor = models.Integ... |
class CommerceMerchantSettingsSetupStatus(AbstractObject):
def __init__(self, api=None):
super(CommerceMerchantSettingsSetupStatus, self).__init__()
self._isCommerceMerchantSettingsSetupStatus = True
self._api = api
class Field(AbstractObject.Field):
deals_setup = 'deals_setup'
... |
class TestAutoNeck(unittest.TestCase):
def test_transformers_neck(self):
import torch
from video_transformers import AutoNeck
config = {'name': 'TransformerNeck', 'num_features': 256, 'num_timesteps': 8, 'transformer_enc_num_heads': 4, 'transformer_enc_num_layers': 2, 'transformer_enc_act': ... |
(os.environ, {'FIDES__CONSENT__TCF_ENABLED': 'false', 'FIDES__CONSENT__AC_ENABLED': 'true'}, clear=True)
.unit
def test_get_config_ac_mode_without_tc_mode() -> None:
with pytest.raises(ValidationError) as exc:
get_config()
assert (exc.value.errors()[0]['msg'] == 'AC cannot be enabled unless TCF mode is ... |
class FixedByteSizeDecoder(SingleDecoder):
decoder_fn = None
value_bit_size = None
data_byte_size = None
is_big_endian = None
def validate(self):
super().validate()
if (self.value_bit_size is None):
raise ValueError('`value_bit_size` may not be None')
if (self.dat... |
class OptionPlotoptionsFunnelSonificationDefaultspeechoptionsMappingVolume(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... |
_tlv_type(LLDP_TLV_MANAGEMENT_ADDRESS)
class ManagementAddress(LLDPBasicTLV):
_LEN_MIN = 9
_LEN_MAX = 167
_ADDR_PACK_STR = '!BB'
_ADDR_PACK_SIZE = struct.calcsize(_ADDR_PACK_STR)
_ADDR_LEN_MIN = 1
_ADDR_LEN_MAX = 31
_INTF_PACK_STR = '!BIB'
_INTF_PACK_SIZE = struct.calcsize(_INTF_PACK_STR... |
def test_get_experiment_ensemble(poly_example_tmp_dir, dark_storage_client):
resp: Response = dark_storage_client.get('/experiments')
experiment_json = resp.json()
assert (len(experiment_json) == 1)
assert (len(experiment_json[0]['ensemble_ids']) == 2)
experiment_id = experiment_json[0]['id']
re... |
.parametrize('graph_info', GRAPHS)
def test_scheduler_dependency_management(graph_info):
scheduler = to_scheduler(graph_info['graph'])
while scheduler:
for group in scheduler.iter_available_groups():
assert (not group.dependencies)
scheduler.finish(group, SUCCESS) |
def f_inner_fft(vals, inv=False):
roots = [x.n for x in get_roots_of_unity(len(vals))]
(o, nvals) = (b.curve_order, [x.n for x in vals])
if inv:
invlen = (f_inner(1) / len(vals))
reversed_roots = ([roots[0]] + roots[1:][::(- 1)])
return [(f_inner(x) * invlen) for x in _fft(nvals, o, ... |
class TestNumberOfOutListValues(BaseDataQualityValueListMetricsTest):
name: ClassVar = 'Number Out-of-List Values'
alias: ClassVar = 'number_value_list'
def calculate_value_for_test(self) -> Numeric:
return self.metric.get_result().current.number_not_in_list
def get_description(self, value: Nume... |
()
def company_languages_df():
return pd.DataFrame([{OSCILanguagesReportSchema.company: 'Google', OSCILanguagesReportSchema.language: 'python', OSCILanguagesReportSchema.commits: 50}, {OSCILanguagesReportSchema.company: 'Google', OSCILanguagesReportSchema.language: 'go', OSCILanguagesReportSchema.commits: 30}, {OSC... |
class Migration(migrations.Migration):
dependencies = [('frontend', '0018_auto__1648')]
operations = [migrations.AlterField(model_name='maillog', name='message', field=models.ForeignKey(db_constraint=False, null=True, on_delete=django.db.models.deletion.CASCADE, to='frontend.EmailMessage'))] |
def test_data_quality_test_most_common_value_share() -> None:
test_dataset = pd.DataFrame({'feature1': [0, 1, 1, 5], 'target': [0, 0, 0, 1], 'prediction': [0, 0, 1, 1]})
suite = TestSuite(tests=[TestMostCommonValueShare(column_name='feature1')])
mapping = ColumnMapping(numerical_features=['feature1'])
s... |
_deserializable
class DiscordBot(BaseBot):
def __init__(self, *args, **kwargs):
BaseBot.__init__(self, *args, **kwargs)
def add_data(self, message):
data = message.split(' ')[(- 1)]
try:
self.add(data)
response = f'Added data from: {data}'
except Exception... |
def new_dataset(data):
print('Creating new dataset')
u = url('items/datasets')
d = {'file': data['file_id'], 'name': 'test_dataset'}
r = data['session'].post(u, data=d)
assert_ret_code(r, 201)
j = r.content.decode()
print(('New dataset:' + j))
data['dataset_id'] = r.json()['id']
retu... |
.django_db
def test_correct_response_single_defc(client, monkeypatch, helpers, elasticsearch_award_index, cfda_awards_and_transactions):
setup_elasticsearch_test(monkeypatch, elasticsearch_award_index)
resp = helpers.post_for_count_endpoint(client, url, def_codes=['L'])
assert (resp.status_code == status.HT... |
def run():
segmk = Segmaker('design.bits')
print('Loading tags')
f = open('params.jl', 'r')
design = json.load(f)
for p in design:
ps = p['params']
if (p['site_type'] in 'ICAP'):
param = verilog.unquote(ps['ICAP_WIDTH'])
segmaker.add_site_group_zero(segmk, p['... |
def test_index(client, app):
github_client_mock = mock.Mock(spec=Github)
github_client_mock.search_repositories.return_value = [mock.Mock(html_url='repo1-url', name='repo1-name', owner=mock.Mock(login='owner1-login', html_url='owner1-url', avatar_url='owner1-avatar-url'), get_commits=mock.Mock(return_value=[moc... |
class UpBlocks(fl.Chain):
def __init__(self, device: ((Device | str) | None)=None, dtype: (DType | None)=None) -> None:
super().__init__(fl.Chain(ResidualBlock(in_channels=2560, out_channels=1280, device=device, dtype=dtype)), fl.Chain(ResidualBlock(in_channels=2560, out_channels=1280, device=device, dtype=... |
class TestShutterReleaseLever(object):
def test_nothing_happens_when_there_is_no_exposure_control_system(self):
srl = ShutterReleaseLever()
assert (srl.depress() == None)
def test_depress_lever_in_manual_mode_is_not_blocked(self):
ecs = ExposureControlSystem()
ecs.mode = 'Manual'... |
def test():
params = ((32, 32, 1024), (32, 256, 1024), (32, 2048, 1024), (32, 16384, 1024), (32, 131072, 1024))
for (_min, _max, _sam) in params:
print(f'Testing: min={_min} max={_max} sample_size={_sam}')
o = [sample_attack(_min, _max, _sam, (1 / 3)) for i in range(10000)]
print('Attack... |
class OptionSeriesXrangeSonificationDefaultinstrumentoptionsMappingPitch(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('y')
def mapTo(self, text: str):
... |
class RallyError(Exception):
def __init__(self, message, cause=None):
super().__init__(message)
self.message = message
self.cause = cause
def full_message(self):
msg = str(self.message)
nesting = 0
current_exc = self
while (hasattr(current_exc, 'cause') an... |
class MockDelftModelWrapper():
def __init__(self, model_wrapper: Model):
self._model_wrapper = model_wrapper
self._label_by_layout_token: Dict[(LayoutTokenId, str)] = {}
self._default_label = 'O'
model_wrapper._lazy_model_impl._value = MagicMock(name='model_impl')
model_wrapp... |
class ProgressButtonControl(PlaylistButtonControl):
name = 'progress_button'
title = _('Progress button')
description = _('Playback progress and access to the current playlist')
__gsignals__ = {}
def __init__(self):
PlaylistButtonControl.__init__(self)
self.set_name('progressbutton')... |
class TestId(util.TestCase):
MARKUP = '\n <div>\n <p>Some text <span id="1"> in a paragraph</span>.\n <a id="2" href=" </p>\n </div>\n '
def test_id(self):
self.assert_selector(self.MARKUP, '#\\31', ['1'], flags=util.HTML)
def test_tag_and_id(self):
self.assert_selector(sel... |
class OptionSeriesStreamgraphSonificationTracksMappingTremolo(Options):
def depth(self) -> 'OptionSeriesStreamgraphSonificationTracksMappingTremoloDepth':
return self._config_sub_data('depth', OptionSeriesStreamgraphSonificationTracksMappingTremoloDepth)
def speed(self) -> 'OptionSeriesStreamgraphSonifi... |
_type(ofproto.OFPTFPT_MATCH)
_type(ofproto.OFPTFPT_WILDCARDS)
_type(ofproto.OFPTFPT_WRITE_SETFIELD)
_type(ofproto.OFPTFPT_WRITE_SETFIELD_MISS)
_type(ofproto.OFPTFPT_APPLY_SETFIELD)
_type(ofproto.OFPTFPT_APPLY_SETFIELD_MISS)
class OFPTableFeaturePropOxm(OFPTableFeatureProp):
def __init__(self, type_=None, length=Non... |
((detect_target().name() == 'rocm'), 'Not supported by ROCM.')
class ConvBiasAddHardswishTestCase(unittest.TestCase):
def _test_conv_bias_add_hardswish(self, batch=4, copy_op=False, test_name='conv2d_bias_add_hardswish', dtype='float16'):
target = detect_target()
(CO, HH, WW, CI) = (256, 28, 28, 128... |
def solve_model(demands, parent_width=100, cutStyle='exactCuts'):
num_orders = len(demands)
solver = newSolver('Cutting Stock', True)
(k, b) = bounds(demands, parent_width)
y = [solver.IntVar(0, 1, f'y_{i}') for i in range(k[1])]
x = [[solver.IntVar(0, b[i], f'x_{i}_{j}') for j in range(k[1])] for i... |
class RangeTextEditor(TextEditor):
low = Any()
high = Any()
evaluate = Any()
def init(self, parent):
TextEditor.init(self, parent)
factory = self.factory
if (not factory.low_name):
self.low = factory.low
if (not factory.high_name):
self.high = fact... |
class SpinnakerApp():
def __init__(self, provider, pipeline_config=None, app=None, email=None, project=None, repo=None):
self.log = logging.getLogger(__name__)
self.appinfo = {'app': app, 'email': email, 'project': project, 'repo': repo, 'provider': provider}
self.appname = app
self.... |
class DetectFaceFromImageClient(ClientRequest):
def __init__(self, api_key: str, domain: str, port: str):
super().__init__()
self.client_url: str = DETECTION_API
self.api_key: str = api_key
self.url: str = (((domain + ':') + port) + self.client_url)
def get(self):
pass
... |
def get_endpoint_by_name(session, endpoint_name):
try:
result = session.query(Endpoint).filter((Endpoint.name == endpoint_name)).one()
result.time_added = to_local_datetime(result.time_added)
result.last_requested = to_local_datetime(result.last_requested)
except NoResultFound:
r... |
class HFModelStatsAdapter():
def consumed_tokens(self):
return 0
def num_queries(self):
return 0
def num_generate_calls(self):
return openai.AsyncConfiguration.get_stats().sum_batch_size
def billable_tokens(self):
return openai.AsyncConfiguration.get_stats().tokens
de... |
class remove_test_case(unittest.TestCase):
def test_remove_with_single_key(self):
d = {'a': 1, 'b': 2, 'c': 3}
_remove(d, 'c')
r = {'a': 1, 'b': 2}
self.assertEqual(d, r)
def test_remove_with_multiple_keys_as_args(self):
d = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}
... |
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