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def test_service_get(service: Service, default_entity_dict): service.create(ServeRequest(**default_entity_dict)) entity: ServerResponse = service.get(ServeRequest(**default_entity_dict)) with db.session() as session: db_entity: ServeEntity = session.get(ServeEntity, entity.id) assert (db_ent...
() def enqueue_block_list_command(): broker = connect_broker() inspect_many_blocks_actor = dramatiq.actor(inspect_many_blocks_task, broker=broker, queue_name=LOW_PRIORITY_QUEUE, priority=LOW_PRIORITY) for block_string in fileinput.input(): block = int(block_string) logger.info(f'Sending {blo...
('pyscf') def test_run_dict_freeze(): run_dict = {'geom': {'type': 'cart', 'fn': 'lib:h2o.xyz', 'freeze_atoms': [0, 1]}, 'calc': {'type': 'pyscf', 'basis': 'sto3g', 'pal': 1, 'verbose': 0}, 'opt': {}} result = run_from_dict(run_dict) geom = result.opt_geom assert (geom.energy == pytest.approx((- 74.)))
_repr class NotificationSettings(db.Model, Timestamp): id = db.Column(db.Integer, primary_key=True) type = db.Column(db.String, nullable=False) enabled = db.Column(db.Boolean, default=True, nullable=False, server_default='True') def is_enabled(type: str) -> bool: (settings, _) = get_or_create(No...
class IlluminaRunInfo(): def __init__(self, runinfo_xml): self.runinfo_xml = runinfo_xml self.run_id = None self.run_number = None self.instrument = None self.flowcell = None self.date = None self.lane_count = None self.reads = [] doc = xml.dom...
def validate_not_quarterly_to_monthly(source_fiscal_period, destination_fiscal_period): if (is_quarter_final_period(source_fiscal_period) and (not is_quarter_final_period(destination_fiscal_period))): logger.warning('WARNING: You are attempting to copy quarterly data into a monthly period. This is fine, h...
class CustomForms(db.Model): class TYPE(): ATTENDEE = 'attendee' SESSION = 'session' SPEAKER = 'speaker' __tablename__ = 'custom_forms' __table_args__ = (UniqueConstraint('event_id', 'field_identifier', 'form', 'form_id', name='custom_form_identifier'),) id = db.Column(db.Integer...
def _start(): global patch, name, path, monitor global timeout, lsl_name, lsl_type, ft_host, ft_port, ft_output, start, selected, streams, stream, inlet, type, source_id, match, lsl_id, channel_count, channel_format, nominal_srate, samples, blocksize timeout = patch.getfloat('lsl', 'timeout', default=30) ...
def test_pod_config(): with pytest.raises(user.FlyteValidationException): Pod(pod_spec=None) with pytest.raises(user.FlyteValidationException): Pod(pod_spec=V1PodSpec(containers=[]), primary_container_name=None) selector = {'node_group': 'memory'} (task_config=Pod(pod_spec=V1PodSpec(cont...
class TestDataFrameSample(TestData): SEED = 42 def build_from_index(self, sample_ed_flights): sample_pd_flights = self.pd_flights_small().loc[(sample_ed_flights.index, sample_ed_flights.columns)] return sample_pd_flights def test_sample(self): ed_flights_small = self.ed_flights_small...
_DATA_MAPPER_REGISTRY.register() class RotatedDatasetMapper(D2GoDatasetMapper): def _original_call(self, dataset_dict): dataset_dict = copy.deepcopy(dataset_dict) image = self._read_image(dataset_dict, format=self.img_format) if (not self.backfill_size): utils.check_image_size(da...
class OptionPlotoptionsSankeySonificationTracksActivewhen(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 OptionPlotoptionsDumbbell(Options): def accessibility(self) -> 'OptionPlotoptionsDumbbellAccessibility': return self._config_sub_data('accessibility', OptionPlotoptionsDumbbellAccessibility) def allowPointSelect(self): return self._config_get(False) def allowPointSelect(self, flag: boo...
class HTTPCachingDatabase(CachingDatabase, _HTTPLogic): def __init__(self): from staticdhcpdlib import config if hasattr(config, 'X_HTTPDB_CONCURRENCY_LIMIT'): CachingDatabase.__init__(self, concurrency_limit=config.X_HTTPDB_CONCURRENCY_LIMIT) else: CachingDatabase.__...
class ClipFieldGrp(object): def __init__(self): self.parent = None self.layout = None self.shot_name_field = None self.fbx_file_field = None self.fbx_choose_button = None self.video_file_field = None self.video_choose_button = None self.cut_in_field = ...
def test_error_when_regression_is_false_and_target_is_continuous(df_discretise): np.random.seed(42) (mu, sigma) = (0, 3) y = np.random.normal(mu, sigma, len(df_discretise)) with pytest.raises(ValueError): transformer = DecisionTreeDiscretiser(regression=False) transformer.fit(df_discreti...
('config_name,overrides,expected', [param('error_duplicate_group', [], raises(ConfigCompositionException, match=re.escape('group1 appears more than once in the final defaults list')), id='error_duplicate_group'), param('error_duplicate_group_nested', [], raises(ConfigCompositionException, match=re.escape('group1/group2...
def local_master_get_detection_dataset_dicts(*args, **kwargs): logger.info('Only load dataset dicts on local master process ...') dataset_dicts = (d2_get_detection_dataset_dicts(*args, **kwargs) if (comm.get_local_rank() == 0) else []) comm.synchronize() dataset_size = comm.all_gather(len(dataset_dicts)...
def test_stop(tmpdir): cloud_provider = MagicMock() cloud_provider.start_instance.return_value = {'instance_id': 'test-id'} cloud_provider.get_ips.return_value = ('127.0.0.1', '127.0.0.1') states = [True, True, True, True, True, False, False, False, False, False] def is_running(instance_id): ...
.parametrize('path,expected_params', [('/cvt/teams/007', {'id': 7}), ('/cvt/teams/1234/members', {'id': 1234}), ('/cvt/teams/default/members/700-5', {'id': 700, 'tenure': 5}), ('/cvt/repos/org/repo/compare/xkcd:353', {'org': 'org', 'repo': 'repo', 'usr0': 'xkcd', 'branch0': 353}), ('/cvt/repos/org/repo/compare/gunmacha...
class OptionSeriesLollipopStatesSelectHalo(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, ...
class TypeCustomer(ModelSimple): allowed_values = {('value',): {'CUSTOMER': 'customer'}} validations = {} additional_properties_type = None _nullable = False _property def openapi_types(): return {'value': (str,)} _property def discriminator(): return None attribute_m...
def downgrade(): op.drop_column('connectionconfig', 'disabled_at') op.drop_column('connectionconfig', 'disabled') op.execute('alter type executionlogstatus rename to executionlogstatus_old') op.execute("create type executionlogstatus as enum('in_processing', 'pending', 'complete', 'error', 'retrying', '...
def test_data_integrity_test_columns_type() -> None: current_dataset = pd.DataFrame({'numerical_feature': [1, 2, 3], 'target': ['1', '1', '1'], 'datetime': [datetime.now(), datetime.now(), datetime.now()]}) reference_dataset = pd.DataFrame({'numerical_feature': [1.0, 2.4, 3.0], 'target': [True, False, True], 'd...
class Dataset(): def __init__(self): self.data = [] def add_sample(self, sample): self.data.append(sample) def size(self): return len(self.data) def inputs(self): return [sample.input for sample in self.data] def shuffle(self): random.shuffle(self.data) de...
def _load_sbv2_pub_key(keydata): vk = serialization.load_pem_public_key(keydata, backend=default_backend()) if isinstance(vk, rsa.RSAPublicKey): if (vk.key_size != 3072): raise esptool.FatalError(('Key file has length %d bits. Secure boot v2 only supports RSA-3072.' % vk.key_size)) r...
def extractHellYeah524(item): (vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title']) if ((not (chp or vol or frag)) or ('preview' in item['title'].lower())): return None if ((item['tags'] == ['Uncategorized']) and item['title'].startswith('Chapter')): return buildRelease...
class Chef(models.Model): slug = models.SlugField() first_name = models.CharField(max_length=60) last_name = models.CharField(max_length=60) uuid_id = models.UUIDField() email_address = models.EmailField() twitter_profile = models.URLField() def __str__(self): return 'Chef {} {}'.for...
def test_json_parses_to_policy_document(): pd = PolicyDocument(Version='2012-10-17', Statement=[Statement(Effect='Allow', Action=[Action('autoscaling', 'DescribeLaunchConfigurations')], Resource=['*']), Statement(Effect='Allow', Action=[Action('sts', 'AssumeRole')], Resource=['arn:aws:iam:::role/someRole'])]) a...
class OptionSeriesStreamgraphLabel(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...
def llamacpp_loader(llm_adapter: LLMModelAdapter, model_params: LlamaCppModelParameters): try: from dbgpt.model.llm.llama_cpp.llama_cpp import LlamaCppModel except ImportError as exc: raise ValueError('Could not import python package: llama-cpp-python Please install db-gpt llama support with `cd...
class RunningMomentsTest(TestCaseBase): def setUp(self) -> None: self.outer_size = 10 self.inner_size = (4, 5) self.running_moments = RunningMoments(self.inner_size) self.rtol = 1e-06 self.atol = 1e-06 def test_single_update(self) -> None: input = torch.rand(self....
class EventModifyRequest(ryu_event.EventRequestBase): def __init__(self, system_id, func): super(EventModifyRequest, self).__init__() self.dst = 'OVSDB' self.system_id = system_id self.func = func def __str__(self): return ('%s<system_id=%s>' % (self.__class__.__name__, s...
class LTTextLineHorizontal(LTTextLine): def __init__(self, word_margin): LTTextLine.__init__(self, word_margin) self._x1 = (+ INF) return def add(self, obj): if (isinstance(obj, LTChar) and self.word_margin): margin = (self.word_margin * max(obj.width, obj.height)) ...
.usefixtures('use_tmpdir') def test_run_version_env_with_user_env(monkeypatch, source_root): wrapper_file_name = f'{os.getcwd()}/bin/rms_wrapper' with open('rms_config.yml', 'w', encoding='utf-8') as f: f.write(f'''executable: {os.getcwd()}/bin/rms wrapper: {wrapper_file_name} env: 10.1.3: ...
def build_ensemble(cls, **kwargs): ens = cls(**kwargs) use = ['ExtraTrees', 'RandomForest', 'LogisticRegression-SAG', 'MLP-adam'] meta = RandomForestClassifier(n_estimators=100, random_state=0, n_jobs=(- 1)) base_learners = list() for (est_name, est) in ESTIMATORS.items(): e = clone(est) ...
def edit_forum_topic(token, chat_id, message_thread_id, name=None, icon_custom_emoji_id=None): method_url = 'editForumTopic' payload = {'chat_id': chat_id, 'message_thread_id': message_thread_id} if (name is not None): payload['name'] = name if (icon_custom_emoji_id is not None): payload...
def format_invoice_document_data(original_response: Dict) -> InvoiceParserDataClass: fields = original_response[0].get('fields', []) items: Sequence[ItemLinesInvoice] = extract_item_lignes(fields, ItemLinesInvoice) default_dict = defaultdict((lambda : None)) merchant_name = fields.get('companyName', def...
class OptionPlotoptionsPolygonSonificationTracksActivewhen(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): ...
def test_dependency_getter(tmp_path: Path) -> None: fake_pyproject_toml = '\n[tool.poetry.dependencies]\npython = ">=3.7,<4.0"\nbar = { version = ">=2.5.1,<4.0.0", python = ">3.7" }\nfoo-bar = { version = ">=2.5.1,<4.0.0", optional = true, python = ">3.7" }\nfox-python = "*" # top level module is called "fox"\n\...
def cbFun(snmpEngine, sendRequestHandle, errorIndication, errorStatus, errorIndex, varBindTable, cbCtx): (authData, transportTarget) = cbCtx print(('%s via %s' % (authData, transportTarget))) if errorIndication: print(errorIndication) return elif errorStatus: print(('%s at %s' % ...
class TestTachoMotorSpeedPValue(ptc.ParameterizedTestCase): def test_speed_i_negative(self): with self.assertRaises(IOError): self._param['motor'].speed_p = (- 1) def test_speed_p_zero(self): self._param['motor'].speed_p = 0 self.assertEqual(self._param['motor'].speed_p, 0) ...
class SigningDialogues(Model, BaseSigningDialogues): def __init__(self, **kwargs: Any) -> None: Model.__init__(self, **kwargs) def role_from_first_message(message: Message, receiver_address: Address) -> BaseDialogue.Role: return BaseSigningDialogue.Role.SKILL BaseSigningDialogues...
def add_commands(subparsers, efuses): add_common_commands(subparsers, efuses) burn_key = subparsers.add_parser('burn_key', help='Burn the key block with the specified name') protect_options(burn_key) add_force_write_always(burn_key) add_show_sensitive_info_option(burn_key) burn_key.add_argument(...
class Number(Field): numeric_type: typing.Optional[type] = None errors = {'type': 'Must be a number.', 'null': 'May not be null.', 'integer': 'Must be an integer.', 'finite': 'Must be finite.', 'minimum': 'Must be greater than or equal to {minimum}.', 'exclusive_minimum': 'Must be greater than {exclusive_minimu...
class Packer(_Packer): def __init__(self, *args, **kwargs): default = kwargs.get('default') for encoder in msgpack_encoders.get_all().values(): default = functools.partial(encoder, chain=default) kwargs['default'] = default super(Packer, self).__init__(*args, **kwargs)
def extractXvvCpuMybluehostMe(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...
class Region(): def __init__(self, key, title, *args): self.key = key self.title = title self.inherited = ((args and (args[0] == 'inherited')) or False) self._content_types = [] def __str__(self): return force_str(self.title) def content_types(self): return [(...
def _create_unfiltered_taxable_event_set(configuration: Configuration, input_data: InputData) -> TransactionSet: transaction_set: TransactionSet entry: AbstractEntry transaction: AbstractTransaction taxable_event_set: TransactionSet = TransactionSet(configuration, 'MIXED', input_data.asset, MIN_DATE, MA...
def _subcfg(env, eff): if isinstance(eff, Effects.effset): return Effects.effset(eff.buffer, [_subcfg(env, e) for e in eff.loc], eff.names, (_subcfg(env, eff.pred) if eff.pred else None), eff.srcinfo) elif isinstance(eff, Effects.config_eff): value = (_subcfg(env, eff.value) if eff.value else No...
def _jit_dipole_magnetic_field_cartesian(coordinates, dipoles, magnetic_moments, b_e, b_n, b_u): (easting, northing, upward) = coordinates (easting_p, northing_p, upward_p) = dipoles for l in prange(easting.size): for m in range(easting_p.size): (easting_comp, northing_comp, upward_comp)...
def main(): module_spec = schema_to_module_spec(versioned_schema) mkeyname = 'id' fields = {'access_token': {'required': False, 'type': 'str', 'no_log': True}, 'enable_log': {'required': False, 'type': 'bool', 'default': False}, 'vdom': {'required': False, 'type': 'str', 'default': 'root'}, 'member_path': {...
class OrdnerMainPage(Webpage): def __init__(self, ordner, index_splits): self.ordner = ordner self.index_splits = index_splits self.filepath = 'build/html/ordner/index.html' self.title = 'Ordner: index of real numbers' self.pagetitle = 'Ordner: index of real numbers - Fungrim...
def _check_dipoles_and_magnetic_moments(dipoles, magnetic_moments): if (magnetic_moments.shape[1] != 3): raise ValueError(f"Invalid magnetic moments with '{magnetic_moments.shape[1]}' elements. Magnetic moments vectors should have 3 components.") if (magnetic_moments.shape[0] != dipoles[0].size): ...
class OptionSeriesDependencywheelSonificationDefaultinstrumentoptionsMappingHighpassFrequency(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 ma...
class SourceEmbedding(ABC): def __init__(self, file_path, vector_store_config: {}, source_reader: Optional=None, text_splitter: Optional[TextSplitter]=None, embedding_args: Optional[Dict]=None): self.file_path = file_path self.vector_store_config = (vector_store_config or {}) self.source_rea...
def test_version_mocked(capsys, monkeypatch): monkeypatch.setattr(ert.shared, '__version__', '1.0.3') try: ert_parser(None, ['--version']) except SystemExit as e: assert (e.code == 0) (ert_version, _) = capsys.readouterr() ert_version = ert_version.rstrip('\n') assert (ert_versio...
class Consumer(ThreadDelegateConsumer): logger = logger RebalanceListener: ClassVar[Type[ConsumerRebalanceListener]] RebalanceListener = ConsumerRebalanceListener consumer_stopped_errors: ClassVar[Tuple[(Type[BaseException], ...)]] = (ConsumerStoppedError,) def _new_consumer_thread(self) -> Consumer...
class DEITP(DeltaE): NAME = 'itp' def __init__(self, scalar: float=720) -> None: self.scalar = scalar def distance(self, color: 'Color', sample: 'Color', scalar: Optional[float]=None, **kwargs: Any) -> float: if (scalar is None): scalar = self.scalar (i1, t1, p1) = color....
def sflaf(x, d, M=128, P=5, mu_L=0.2, mu_FL=0.5): nIters = (min(len(x), len(d)) - M) Q = (P * 2) sk = np.arange(0, (Q * M), 2) ck = np.arange(1, (Q * M), 2) pk = np.tile(np.arange(P), M) u = np.zeros(M) w_L = np.zeros(M) w_FL = np.zeros((Q * M)) e = np.zeros(nIters) for n in rang...
class Ml_model(models.Model): name = models.TextField(blank=False, null=True) model_name = models.TextField(blank=False, null=True) username = models.TextField(blank=False, null=True) description = models.TextField(blank=False, null=True) version = models.FloatField(blank=False, null=True) eval_...
def generate_html_detail(dataframe_report): all_detail = list(dataframe_report._features.values()) if (dataframe_report._target is not None): all_detail.append(dataframe_report._target) for feature in all_detail: compare_dict = feature.get('compare') if ((feature['type'] == FeatureTy...
def test_fmpz_factor(): assert (flint.fmpz(6).gcd(flint.fmpz(9)) == 3) assert (flint.fmpz(6).gcd(9) == 3) assert raises((lambda : flint.fmpz(2).gcd('asd')), TypeError) assert (flint.fmpz(6).lcm(flint.fmpz(9)) == 18) assert (flint.fmpz(6).lcm(9) == 18) assert raises((lambda : flint.fmpz(2).lcm('a...
def charlen_tsets(): VocabularyMatcher.instance()._make_mask_from_char_length(1) l1 = tset(charlen=1) token_lengths = VocabularyMatcher.instance().token_lengths assert (token_lengths is not None), 'VocabularyMatcher.instance().token_lengths is None even though it should be fully initialized.' length...
def get_best_model(): import re pattern = 'model.(?P<epoch>\\d+)-(?P<val_loss>[0-9]*\\.?[0-9]*).hdf5' p = re.compile(pattern) files = [f for f in os.listdir('models/') if p.match(f)] filename = None if (len(files) > 0): accs = [float(p.match(f).groups()[1]) for f in files] best_i...
class OptionSeriesTimelineDatalabelsStyle(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('normal') def fontWeight(self, text: str): self._config(...
class HistoricalMeta(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 {'to': (str,), '_from': (str,), 'b...
class OptionSeriesBulletSonificationContexttracksMappingHighpass(Options): def frequency(self) -> 'OptionSeriesBulletSonificationContexttracksMappingHighpassFrequency': return self._config_sub_data('frequency', OptionSeriesBulletSonificationContexttracksMappingHighpassFrequency) def resonance(self) -> '...
() def mock_ app, monkeypatch, request) -> ClientSession: marker = request.node.get_closest_marker(' options = SessionMarker(**{**{'status_code': HTTPStatus.OK, 'text': b'', 'json': None, 'json_iterator': None, 'max_failures': None}, **((marker.kwargs or {}) if marker else {})}) def raise_for_status(): ...
def test_reference_creates_references_with_absolute_paths_containing_env_var(create_test_data, create_maya_env): data = create_test_data maya_env = create_maya_env vers1 = Version(task=data['asset1'], created_by=data['user1']) DBSession.add(vers1) DBSession.commit() vers2 = Version(task=data['as...
def test_non_ip(): instance = HostBase() for (eth_type, test_output) in ((1, {'tshark_ipx': 0, 'tshark_nonip': 1}), (33079, {'tshark_ipx': 1, 'tshark_nonip': 1}), (2048, {'tshark_ipx': 0, 'tshark_nonip': 0})): test_data = {field: None for field in WS_FIELDS} test_data.update({'eth.type': eth_typ...
def replace_line(lines, line_no, block_comment, templates, copy_note, org, year_range, offset=None): assert isinstance(lines, list) assert (isinstance(line_no, int) and (1 <= line_no <= len(lines))) assert isinstance(block_comment, bool) assert isinstance(templates, dict) assert isinstance(copy_note...
class Token_Buffer(Token_Generator): def __init__(self, lexer, cfg): assert isinstance(lexer, MATLAB_Lexer) assert isinstance(cfg, Config) super().__init__(lexer.language, lexer.filename, lexer.blockname) self.cfg = cfg self.pos = 0 self.tokens = [] self.mh = ...
def test_match_accept_with_inform_serialization(): msg = FipaMessage(message_id=1, dialogue_reference=(str(0), ''), target=0, performative=FipaMessage.Performative.MATCH_ACCEPT_W_INFORM, info={'address': 'dummy_address', 'signature': 'my_signature'}) msg.to = 'receiver' envelope = Envelope(to=msg.to, sender...
.skip_ci ('pyscf') def test_pyscf_stocastic(): geom = geom_loader('lib:benzene_and_no.xyz') def calc_getter(calc_number): calc_kwargs = {'charge': (+ 1), 'mult': 1, 'pal': 2, 'basis': '321g', 'calc_number': calc_number} calc = PySCF(**calc_kwargs) return calc stoc_kwargs = {'calc_get...
def extractWordpressCom(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 tagma...
def get_yara_error(rules_file: (str | bytes)) -> (Exception | None): try: if isinstance(rules_file, bytes): rules_file = rules_file.decode() yara.compile(source=rules_file) return None except (yara.Error, TypeError, UnicodeDecodeError) as error: return error
def initializePlugin(mobject): mplugin = OpenMayaMPx.MFnPlugin(mobject, 'Erkan Ozgur Yilmaz', '1.0.2') try: mplugin.registerNode(kPluginNodeTypeName, cpocPluginId, nodeCreator, nodeInitializer) except: sys.stderr.write(('Failed to register node: %s' % kPluginNodeTypeName)) raise
def snapshot_diff(cur_items, snapshot_file): try: prev_items = list(frontend_utils.get_pages(snapshot_file)) except pickle.UnpicklingError as e: frontend_utils.echo_error(f'Error unpickling the data from {snapshot_file}: {e}') return None differences = [] for cur_item in cur_item...
def test_simple_bkz_reduction(block_size=10): for n in dimensions: FPLLL.set_random_seed(n) A = make_integer_matrix(n) LLL.reduction(A) B = copy(A) BKZ.reduction(B, BKZ.Param(block_size=block_size)) C = copy(A) SimpleBKZ(C)(block_size=block_size) asser...
class bad_instruction_error_msg(error_msg): version = 3 type = 1 err_type = 3 def __init__(self, xid=None, code=None, data=None): if (xid != None): self.xid = xid else: self.xid = None if (code != None): self.code = code else: ...
def tail(records, tail): logging.info((('Applying _tail generator: limiting results to top ' + tail) + ' records.')) if (tail == '+0'): for record in records: (yield record) elif ('+' in tail): tail = (int(tail) - 1) for record in itertools.islice(records, tail, None): ...
class Environment(): def __init__(self, white: VectorLike, adapting_luminance: float, surround: float, discounting: float) -> None: self.xyz_w = util.xy_to_xyz(white) self.surround = surround self.yn = adapting_luminance self.d = discounting self.ram = self.calc_ram() ...
class vectorize2(): def __init__(self, pyfunc: Callable[(..., Any)], doc: Optional[str]=None): self.func = pyfunc self.__name__ = self.func.__name__ self.__doc__ = (self.func.__doc__ if (doc is None) else doc) def _vector_apply(self, a: VectorLike, b: VectorLike, **kwargs: Any) -> Vector...
def find_bounding_shape(virtual_size, available_shape): assert (virtual_size <= product(available_shape)) free_size = virtual_size free_dims = set(range(len(available_shape))) bounding_shape = ([None] * len(available_shape)) while (len(free_dims) > 0): guess = ceiling_root(free_size, len(fre...
def _replace_reads(ir, fwd, c, sym, repl, only_replace_attrs=True): cur_fwd = (lambda x: x) c = fwd(c) for rd in match_pattern(c, f'{repr(sym)}[_]', use_sym_id=True): rd = cur_fwd(rd) if (not (c_repl := repl(rd))): continue (ir, fwd_rd) = _replace_helper(rd, c_repl, only_...
(eq=False, order=False, frozen=True, repr=True, hash=False) class DefaultDetailsUpdateHandler(ChangeSetHandler): db = attr.ib() plugin_manager = attr.ib() validators = attr.ib(factory=list) def apply_changeset(self, model, changeset): accumulate_errors((lambda v: v.validate(model, changeset)), s...
class conn_tracking_nw_src_masked(oxm): type_len = 127240 def __init__(self, value=None, value_mask=None): if (value != None): self.value = value else: self.value = 0 if (value_mask != None): self.value_mask = value_mask else: self....
class OptionSeriesAreasplineSonificationDefaultinstrumentoptionsMappingPan(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 ConvProfilerCacheTestCase(unittest.TestCase): def _test(self, first_dim, logger, test_name='conv2d'): target = detect_target() X = Tensor(shape=[first_dim, 28, 28, 128], dtype='float16', name='input_0', is_input=True) W = Tensor(shape=[256, 3, 3, 128], dtype='float16', name='input_1', ...
_pytree_node_class class JaxStructure(AbstractJaxStructure, JaxObject): geometry: JaxGeometryType = pd.Field(..., title='Geometry', description='Geometry of the structure, which is jax-compatible.', jax_field=True, discriminator=TYPE_TAG_STR) medium: JaxMediumType = pd.Field(..., title='Medium', description='Me...
class TestEnumV37(TestCase): def test_repr_with_dataclass(self): from dataclasses import dataclass, field (repr=False) class Foo(): __qualname__ = 'Foo' a: int def __repr__(self): return 'ha hah!' class Entries(Foo, Enum): ...
class OptionPlotoptionsPieSonificationContexttracksMappingHighpassResonance(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...
class WorkflowDialog(QDialog): closeButtonPressed = Signal() def __init__(self, title, widget, parent=None): QDialog.__init__(self, parent) self.setWindowTitle(title) self.setModal(True) self.setWindowFlags((self.windowFlags() & (~ Qt.WindowContextHelpButtonHint))) self.s...
class Branch(GenericBranch[Condition]): def __init__(self, condition: Condition, tags: Optional[Tuple[(Tag, ...)]]=None): super(Branch, self).__init__(condition, tags=tags) def __repr__(self) -> str: return f'if {repr(self.condition)}' def __str__(self) -> str: return f'if({self.cond...
def read_characters_from_files(files: List[str], frecent: List[str], use_additional: bool) -> Dict[(str, str)]: all_characters: Dict[(str, List[str])] = {} for character in frecent: all_characters[character] = [] for file in __resolve_all_filenames(files, use_additional): characters_from_fil...
class MasterList(object): def __init__(self, local_master_info, callback_update_remote, callback_update_local): self._services_initialized = False self.pubchanges = rospy.Publisher('~changes', MasterState, queue_size=10) self.pubstats = rospy.Publisher('~linkstats', LinkStatesStamped, queue_...
class DataQualityTable(Base): __tablename__ = 'data_quality' id = Column(Integer, primary_key=True) timestamp = Column(Float) drift_share = Column(Float) ds_drift_metric_number_of_columns = Column(Integer) number_of_drifted_columns = Column(Integer) share_of_drifted_columns = Column(Float) ...
def _get_whole_time_units(value, units='s', *, allowsmall=False): assert isinstance(value, Decimal) if (units not in TIME_UNITS): raise ValueError(f'unsupported units {units!r}') orig = f'{value} {units}' while (int(value) != value): (units, multiplier) = TIME_UNITS_DESCENDING[units] ...
_invites_misc_routes.route('/role_invites/user', methods=['POST']) def fetch_user(): token = request.json['data']['token'] try: role_invite = RoleInvite.query.filter_by(hash=token).one() except NoResultFound: raise NotFoundError({'source': ''}, 'Role Invite Not Found') else: retu...