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def dedent(text, baseline_index=None, indent=None): if (not text): return '' if (indent is not None): lines = text.split('\n') ind = (' ' * indent) indline = ('\n' + ind) return (ind + indline.join((line.strip() for line in lines))) elif (baseline_index is None): ...
class SimpleModelSemanticExtractor(ModelSemanticExtractor): def __init__(self, semantic_content_class_by_tag: Optional[Mapping[(str, SemanticContentFactoryProtocol)]]=None): super().__init__() self.semantic_content_class_by_tag = (semantic_content_class_by_tag or {}) def get_semantic_content_for...
class HtmlNavBar(Html.Html): name = 'Nav Bar' def __init__(self, page: primitives.PageModel, components: Optional[List[Html.Html]], width: tuple, height: tuple, options: Optional[dict], html_code: str, profile: Optional[Union[(dict, bool)]]): super(HtmlNavBar, self).__init__(page, [], html_code=html_cod...
class geneve(packet_base.PacketBase): _HEADER_FMT = '!BBHI' _MIN_LEN = struct.calcsize(_HEADER_FMT) OAM_PACKET_FLAG = (1 << 7) CRITICAL_OPTIONS_FLAG = (1 << 6) def __init__(self, version=0, opt_len=0, flags=0, protocol=ether_types.ETH_TYPE_TEB, vni=None, options=None): super(geneve, self).__...
.unit def test_transform_redshift_systems(redshift_describe_clusters: Generator, redshift_systems: Generator) -> None: actual_result = aws_connector.create_redshift_systems(describe_clusters=redshift_describe_clusters, organization_key='default_organization') assert (actual_result == redshift_systems)
def main(): try: base_conf(project='ryu', version=('ryu %s' % version)) except cfg.RequiredOptError as e: base_conf.print_help() raise SystemExit(1) subcmd_name = base_conf.subcommand try: subcmd_mod_name = subcommands[subcmd_name] except KeyError: base_conf.p...
class OptionPlotoptionsStreamgraphSonificationDefaultinstrumentoptionsMappingFrequency(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(sel...
_func def get_message(query: fixieai.Message) -> str: if (not query.embeds): return 'You need to specify the embed ID of the message you want to read.' for embed in query.embeds.values(): if (embed.content_type != 'text/plain'): return f'I can only read plain-text emails specified by...
def test_MeshAdaptRestart_adaptiveTime_BackwardEuler_baseline(verbose=0): currentPath = os.path.dirname(os.path.abspath(__file__)) runCommand = (('cd ' + currentPath) + '; parun -C "gen_mesh=False usePUMI=True adapt=0 fixedTimeStep=False" -D "baseline" dambreak_Colagrossi_so.py;') subprocess.check_call(runC...
def extract_config(t: Type[TensorFlow2ONNX]) -> Tuple[(Type[TensorFlow2ONNX], TensorFlow2ONNXConfig)]: config = None if (get_origin(t) is Annotated): (base_type, config) = get_args(t) if isinstance(config, TensorFlow2ONNXConfig): return (base_type, config) else: r...
def rolling_median_by_h(x, h, w, name): df = pd.DataFrame({'x': x, 'h': h}) grouped = df.groupby('h') df2 = grouped.size().reset_index().sort_values('h') hs = df2['h'] res_h = [] res_x = [] i = (len(hs) - 1) while (i >= 0): h_i = hs[i] xs = grouped.get_group(h_i).x.tolist...
def extractAsadatranslationsWordpressCom(item): (vol, chp, frag, postfix) = extractVolChapterFragmentPostfix(item['title']) if ((not (chp or vol)) or ('preview' in item['title'].lower())): return None tagmap = [('npc town building game', 'NPC Town-building Game', 'translated'), ('reader', 'reader', ...
class VmMigrateSerializer(s.Serializer): node = s.SlugRelatedField(slug_field='hostname', queryset=Node.objects, required=False) root_zpool = s.CharField(max_length=64, required=False) disk_zpools = DiskPoolDictField(required=False) live = s.BooleanField(default=False) def __init__(self, request, vm...
def test_validation_custom_types(): def complex_args(rate: StrictFloat, steps: PositiveInt=10, log_level: constr(regex='(DEBUG|INFO|WARNING|ERROR)')='ERROR'): return None my_registry.complex = catalogue.create(my_registry.namespace, 'complex', entry_points=False) my_registry.complex('complex.v1')(co...
class BarcodeMatcher(): def __init__(self, barcode): self.__barcode = barcode def barcode(self): return self.__barcode def match(self, test_barcode, max_mismatches=0): if test_barcode.startswith(self.__barcode): return True nmismatches = 0 try: ...
class ServicePlanFixtureTestTracebackEntry(TracebackEntry): def __init__(self, name, line_number, path, local_variables, fixture_source, test_source, raw_entry): super(ServicePlanFixtureTestTracebackEntry, self).__init__(raw_entry) self._name = name self.lineno = (line_number - 1) se...
def parse_members(filepath: str) -> Set[str]: with open(filepath, 'r') as filehandle: filecontent = filehandle.read() members = set() for node in ast.parse(filecontent).body: if (isinstance(node, ast.Import) or isinstance(node, ast.ImportFrom)): members.update(((alias.asname or a...
class Heartbeat(object): def __init__(self, interval, send_heartbeat, timer=threading.Timer): self.send_heartbeat = send_heartbeat self.timer_impl = timer self._lock = threading.Lock() self._running = threading.Event() self._timer = None self._exceptions = None ...
def test_parse_latlng() -> None: bad = ['', 'aaa', '12', '1,2,3', '48,', '48,x', '4 8,8', '91,8', '-91,8', '48,-181', '48,181'] for s in bad: with pytest.raises(ValueError): staticmaps.parse_latlng(s) good = ['48,8', ' 48 , 8 ', '-48,8', '+48,8', '48,-8', '48,+8', '48.123,8.456'] for...
def bitread2bits(txt): bits_ref = set() for l in txt.split('\n'): l = l.strip() if (not l): continue m = re.match('bit_(.{8})_(.{3})_(.{2})', l) addr = int(m.group(1), 16) word = int(m.group(2), 10) bit = int(m.group(3), 10) bits_ref.add((addr,...
class Flow_Add_6(base_tests.SimpleProtocol): def runTest(self): logging.info('Flow_Add_6 TEST BEGIN') logging.info('Deleting all flows from switch') delete_all_flows(self.controller) sw = Switch() self.assertTrue(sw.connect(self.controller), 'Failed to connect to switch') ...
_op([AllocCursorA, IntA, NewExprA('buf_cursor'), NewExprA('buf_cursor')]) def resize_dim(proc, buf_cursor, dim_idx, size, offset): stmt_c = buf_cursor._impl (ir, fwd) = scheduling.DoResizeDim(stmt_c, dim_idx, size, offset) return Procedure(ir, _provenance_eq_Procedure=proc, _forward=fwd)
('Updater.last_required_reboot_performed', return_value=False) ('Updater.sdlog.error') ('Updater.sdlog.info') def test_overall_update_status_reboot_not_done_previously(mocked_info, mocked_error, mocked_reboot_performed): result = updater.overall_update_status(TEST_RESULTS_UPDATES) assert (result == UpdateStatus...
def paragraph(node: RenderTreeNode, context: RenderContext) -> str: inline_node = node.children[0] text = inline_node.render(context) if context.do_wrap: wrap_mode = context.options['mdformat']['wrap'] if isinstance(wrap_mode, int): wrap_mode -= context.env['indent_width'] ...
def query_pfam_annotate(arguments): (queries_pfams_group, queries_fasta, pfam_db, temp_dir, translate, pfam_file, cpu, data_path) = arguments set_data_path(data_path) aligned_pfams = None (fasta_file, hmm_file) = filter_fasta_hmm_files(queries_pfams_group, queries_fasta, pfam_db, temp_dir) if ((fast...
class UltimateSpeedHandler(THBEventHandler): interested = ['action_apply', 'choose_target', 'post_calcdistance'] def handle(self, evt_type, arg): def is_card(card): return (('skill' not in card.category) or ('treat_as' in card.category)) if (evt_type == 'post_calcdistance'): ...
class OptionPlotoptionsAreasplineSonificationTracksMappingHighpass(Options): def frequency(self) -> 'OptionPlotoptionsAreasplineSonificationTracksMappingHighpassFrequency': return self._config_sub_data('frequency', OptionPlotoptionsAreasplineSonificationTracksMappingHighpassFrequency) def resonance(self...
def show_dependencies(reqs, python=None, *, dryrun=False): if (not python): python = sys.executable print('dependencies:') for req in reqs: for c in '<=>;': req = req.partition(c)[0] if dryrun: print(' ', req) else: print() _get...
def main(): module_spec = schema_to_module_spec(versioned_schema) mkeyname = 'ems-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...
def google_search(search: str, search_depth: int): try: res = requests.get((' + search)) res.raise_for_status() except: warning("There was a problem with this services's internet") st.warning("There was a problem with this services's internet. \n If you got HT...
def main(): module_spec = schema_to_module_spec(versioned_schema) mkeyname = None 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': {...
def log_syslogd3_override_setting(data, fos): vdom = data['vdom'] log_syslogd3_override_setting_data = data['log_syslogd3_override_setting'] filtered_data = underscore_to_hyphen(filter_log_syslogd3_override_setting_data(log_syslogd3_override_setting_data)) return fos.set('log.syslogd3', 'override-settin...
def getHexToRgb(hex_color: str): res = re.search('rgba\\(([0-9]*), ([0-9]*), ([0-9]*)', hex_color) if (res is not None): return [res.group(1), res.group(2), res.group(3)] if (not hex_color.startswith('#')): raise ValueError('Hexadecimal color should start with #') if (not (len(hex_color)...
def _check_scalar_array(obj, name, value): if (value is None): return None arr = np.asarray(value) assert (len(arr.shape) in [2, 3]), 'Scalar array must be 2 or 3 dimensional' vd = obj.vector_data if (vd is not None): assert (vd.shape[:(- 1)] == arr.shape), ('Scalar array must match ...
class OptionSeriesArcdiagramSonificationContexttracksMappingPan(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): ...
(no_gui_test_assistant, 'No GuiTestAssistant') class TestAboutDialog(unittest.TestCase, GuiTestAssistant): def setUp(self): GuiTestAssistant.setUp(self) self.dialog = AboutDialog() def tearDown(self): if (self.dialog.control is not None): with self.delete_widget(self.dialog.c...
def search(payload, method='general'): log.debug(('Searching with payload (%s): %s' % (method, repr(payload)))) if ((method == 'episode') and ('anime' in payload) and payload['anime']): method = 'anime' if (method == 'general'): if ('query' in payload): payload['title'] = payload...
def get_textNqF0s(line, phids): line = line.decode('utf-8').split()[1:] texts = [phids['<']] qF0s = [0.0] for k in line: if ('_' in k): phone = k.split('_')[0] texts.append(phids[phone]) qF0 = float(k.split('_')[1]) qF0s.append(qF0) else: ...
def check_all_variables(X: pd.DataFrame, variables: Variables) -> List[Union[(str, int)]]: if isinstance(variables, (str, int)): if (variables not in X.columns.to_list()): raise KeyError(f'The variable {variables} is not in the dataframe.') variables_ = [variables] else: if (...
def populate_dot_thbattle(): res_path = _set_bootstrap_path() os.system('rm -rf ~/.thbattle/{osx-eggs,src}') os.system(('mkdir -p ~/.thbattle/osx-eggs && cd ~/.thbattle/osx-eggs && tar -xf %s' % os.path.join(res_path, 'osx-eggs.tar'))) os.system(('mkdir -p ~/.thbattle/src && cd ~/.thbattle/src && tar -x...
class FunctionDataSourceTestCase(UnittestTools, unittest.TestCase): def setUp(self): self.myfunc = (lambda low, high: (linspace(low, high, 101) ** 2)) self.data_source = FunctionDataSource(func=self.myfunc) def test_init_defaults(self): data_source = FunctionDataSource() assert_a...
def format_running_time(runtime: int) -> str: days = 0 hours = 0 minutes = 0 seconds = math.trunc(runtime) if (seconds >= 60): (minutes, seconds) = divmod(seconds, 60) if (minutes >= 60): (hours, minutes) = divmod(minutes, 60) if (hours >= 24): (days, hours) = divmod(...
def read_fixture_file(path: (str | Path)) -> list[list[Any]]: text = Path(path).read_text(encoding='utf-8') tests = [] section = 0 last_pos = 0 lines = text.splitlines(keepends=True) for i in range(len(lines)): if (lines[i].rstrip() == '.'): if (section == 0): ...
def get_boundaries(is_jp: bool) -> Optional[list[int]]: file_data = game_data_getter.get_file_latest('DataLocal', 'GamatotoExpedition.csv', is_jp) if (file_data is None): helper.error_text('Failed to get gamatoto xp requirements') return None boundaries = file_data.decode('utf-8').splitlines...
('pyscf') .parametrize('hbond_angles, prim_len_ref', ((True, 56), (False, 42))) def test_run_geom_section_union(hbond_angles, prim_len_ref): ref_energy = (- 160.) def run_assert(run_dict, prim_len): res = run_from_dict(run_dict) geom = res.calced_geoms[0] assert (geom.energy == pytest.ap...
class DomainMetadata(models.Model): domain = models.ForeignKey('pdns.Domain', blank=True, null=True) kind = models.CharField(max_length=32, blank=True, null=True) content = models.TextField(blank=True, null=True) class Meta(): managed = False db_table = 'domainmetadata' def __unicode...
.parametrize(['expr', 'value', 'typ', 'fs_type'], itertools.product(['f', '2.0*tanh(f) + cos(f) + sin(f)', '1.0/tanh(f) + 1.0/f'], [1, 10, (- 1), (- 10)], ['function', 'constant'], ['scalar', 'vector', 'tensor'])) def test_functions(mesh, expr, value, typ, fs_type): if (typ == 'function'): if (fs_type == 'v...
class LocationFlatPage(models.Model): menu = models.ForeignKey(LocationMenu, related_name='pages', help_text='Note: If there is only one page in the menu, it will be used as a top level nav item, and the menu name will not be used.') flatpage = models.OneToOneField(FlatPage) def slug(self): url = se...
class AccountBasedExpenseLineDetail(QuickbooksBaseObject): class_dict = {'CustomerRef': Ref, 'AccountRef': Ref, 'TaxCodeRef': Ref, 'ClassRef': Ref, 'MarkupInfo': MarkupInfo} def __init__(self): super(AccountBasedExpenseLineDetail, self).__init__() self.BillableStatus = None self.TaxAmoun...
class UPnPService(Service): logger = get_logger('trinity.components.upnp.UPnPService') def __init__(self, port: int, event_bus: EndpointAPI) -> None: self.port = port self.event_bus = event_bus async def run(self) -> None: while self.manager.is_running: async for _ in eve...
def setup_after_launch(cfg: CfgNode, output_dir: str, runner_class: Union[(None, str, Type[BaseRunner], Type[DefaultTask])]) -> Union[(None, BaseRunner, Type[DefaultTask])]: create_dir_on_global_main_process(output_dir) setup_loggers(output_dir) log_system_info() cfg.freeze() maybe_override_output_d...
class WriteFontInfoVersion3TestCase(unittest.TestCase): def setUp(self): self.tempDir = tempfile.mktemp() os.mkdir(self.tempDir) self.dstDir = os.path.join(self.tempDir, 'test.ufo') def tearDown(self): shutil.rmtree(self.tempDir) def tearDownUFO(self): if os.path.exis...
class OptionSeriesDumbbellSonificationDefaultinstrumentoptionsMappingPan(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 SimulationTest(BasicTest): def _setRelativePath(self, input_file): self.scriptdir = os.path.dirname(input_file) def remove_files(filelist): for file in filelist: if os.path.isfile(file): os.remove(file) def teardown_method(self): extens = 'm' ...
def build_train_graph(master_spec, hyperparam_config=None): tf.logging.info('Building Graph...') if (not hyperparam_config): hyperparam_config = spec_pb2.GridPoint(learning_method='adam', learning_rate=0.0005, adam_beta1=0.9, adam_beta2=0.9, adam_eps=1e-05, decay_steps=128000, dropout_rate=0.8, gradient...
class Idl(idl.Idl): def __init__(self, session, schema): if (not isinstance(schema, idl.SchemaHelper)): schema = idl.SchemaHelper(schema_json=schema) schema.register_all() schema = schema.get_idl_schema() self._events = [] self.tables = schema.tables s...
def acSubmitPseudo(session, dom): pseudo = dom.getValue('Pseudo').strip() room = session.room if (not pseudo): dom.alert('Pseudo. can not be empty !') dom.setValue('Pseudo', '') dom.focus('Pseudo') elif room.handlePseudo(pseudo.upper()): session.pseudo = pseudo do...
class SchemaManager(SingletonConfigurable): schemaspaces: Dict[(str, 'Schemaspace')] schemaspace_id_to_name: Dict[(str, str)] schemaspace_schemasproviders: Dict[(str, Dict[(str, 'SchemasProvider')])] schemaspace_schema_validators: Dict[(str, Dict[(str, Any)])] def __init__(self, **kwargs): s...
def benchmark(fn: Callable, *args, num_iterations: int=10, **kwargs) -> Benchmark: timer = Timer('fn(*args, **kwargs)', globals={'fn': fn, 'args': args, 'kwargs': kwargs}) times = timer.repeat(number=1, repeat=(num_iterations + 1)) return Benchmark(np.mean(times[1:]).item(), np.std(times[1:]).item())
class BsCard(Component): css_classes = ['card'] name = 'Bootstrap Card' str_repr = '<div {attrs}><div class="card-body">{sub_items}</div></div>' dyn_repr = '{sub_item}' def add_header(self, value): title = self.page.web.std.div(value) title.attr['class'].initialise(['card-header']) ...
_router.get('/item/{item_uid}/chunk/{chunk_uid}/download/', dependencies=PERMISSIONS_READ) def chunk_download(chunk_uid: str, collection: models.Collection=Depends(get_collection)): chunk = get_object_or_404(collection.chunks, uid=chunk_uid) filename = chunk.chunkFile.path return sendfile(filename)
def random_select(seed: bytes32) -> address: select_val: wei_value = as_wei_value(as_num128(num256_mod(as_num256(seed), as_num256(self.total_deposits))), wei) ind: num = 1 for i in range(15): if (select_val <= self.validator_table[(ind * 2)].bal): ind = (ind * 2) else: ...
def test_switch_no_empty_fallthough(task): task.options.set('pattern-independent-restructuring.min_switch_case_number', 11) (switch_variable, vertices) = _switch_no_empty_fallthrough(task) PatternIndependentRestructuring().run(task) assert (isinstance((seq_node := task.syntax_tree.root), SeqNode) and (l...
def upgrade(): op.drop_index(op.f('ix_session_data'), table_name='session') op.execute('ALTER TABLE session ALTER COLUMN data TYPE JSON USING data::JSON;') op.drop_index(op.f('ix_config_config'), table_name='config') op.execute('ALTER TABLE config ALTER COLUMN config TYPE JSON USING config::JSON;')
.skipif((yaml is None), reason='needs yaml') def test_yaml_file_handler(tmpdir, testconfig): yaml_file = tmpdir.join('config.yaml') yaml_file.write('\ndevelopment:\n DATABASE_URI: mysql://root:/posts\n\nproduction:\n DATABASE_URI: mysql://poor_user:poor_/poor_posts\n') config = kaptan.Kaptan(handler='yaml...
def update_or_create_camera_trace(patched_figure, trace_idx, cam_coords, wireframe_scale=0.5, linewidth=3, color='red', name='Camera'): (x, y, z) = (cam_coords['x'], cam_coords['y'], cam_coords['z']) if (trace_idx is None): patched_figure['data'].append(go.Scatter3d(x=x, y=y, z=z, mode='lines', marker={...
(autouse=True) def no_cert_in_test(monkeypatch): class MockESConfig(EvaluatorServerConfig): def __init__(self, *args, **kwargs): if ('use_token' not in kwargs): kwargs['use_token'] = False if ('generate_cert' not in kwargs): kwargs['generate_cert'] = F...
class OptionPlotoptionsColumnpyramidSonificationDefaultinstrumentoptionsMappingLowpass(Options): def frequency(self) -> 'OptionPlotoptionsColumnpyramidSonificationDefaultinstrumentoptionsMappingLowpassFrequency': return self._config_sub_data('frequency', OptionPlotoptionsColumnpyramidSonificationDefaultinst...
class OptionSeriesPictorialStatesHoverMarker(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._co...
def _get_alembic_config(url): from alembic.config import Config current_dir = os.path.dirname(os.path.abspath(__file__)) package_dir = os.path.normpath(os.path.join(current_dir, '..')) directory = os.path.join(package_dir, 'migrations') config = Config(os.path.join(package_dir, 'alembic.ini')) c...
def create_ref_node(link_type, uri, text, tooltip): innernode = nodes.inline(text, text) if (link_type == 'ref'): ref_node = addnodes.pending_xref(reftarget=unquote(uri), reftype='any', refdomain='', refexplicit=True, refwarn=True) innernode['classes'] = ['xref', 'any'] else: ref_nod...
class Migration(migrations.Migration): dependencies = [('gather', '0002_auto__1301')] operations = [migrations.AlterField(model_name='event', name='attendees', field=models.ManyToManyField(related_name='events_attending', to=settings.AUTH_USER_MODEL, blank=True)), migrations.AlterField(model_name='event', name=...
_type(OSPF_MSG_LS_UPD) class OSPFLSUpd(OSPFMessage): _PACK_STR = '!I' _PACK_LEN = struct.calcsize(_PACK_STR) _MIN_LEN = (OSPFMessage._HDR_LEN + _PACK_LEN) def __init__(self, length=None, router_id='0.0.0.0', area_id='0.0.0.0', au_type=1, authentication=0, checksum=None, version=_VERSION, lsas=None): ...
class PDFGraphicState(): def __init__(self): self.linewidth = 0 self.linecap = None self.linejoin = None self.miterlimit = None self.dash = None self.intent = None self.flatness = None return def copy(self): obj = PDFGraphicState() ...
class FeistelRFirstRounds(): def __new__(cls, guesses=_np.arange(64, dtype='uint8'), words=None, plaintext_tag='plaintext', key_tag='key'): return _decorated_selection_function(_AttackSelectionFunctionWrapped, _first_round, expected_key_function=_first_key, words=words, guesses=guesses, target_tag=plaintext...
def bindingQQ(request): if (request.method == 'POST'): openid = request.POST.get('openid') figureurl_qq_1 = request.POST.get('figureurl_qq_1') nickname = request.POST.get('nickname') password = request.POST.get('password') password1 = request.POST.get('password1') ema...
def _dbt_run_through_python(args: List[str], target_path: str, run_index: int, connection: Connection): warnings.filterwarnings('ignore', category=DeprecationWarning, module='logbook') from dbt.cli.main import dbtRunner from dbt.contracts.results import RunExecutionResult runner = dbtRunner() run_re...
class OptionPlotoptionsSolidgaugeSonificationContexttracksMappingTremolo(Options): def depth(self) -> 'OptionPlotoptionsSolidgaugeSonificationContexttracksMappingTremoloDepth': return self._config_sub_data('depth', OptionPlotoptionsSolidgaugeSonificationContexttracksMappingTremoloDepth) def speed(self) ...
def generate(annotations_path, output_path, log_step=5000, force_uppercase=True, save_filename=False): logging.info('Building a dataset from %s.', annotations_path) logging.info('Output file: %s', output_path) writer = tf.io.TFRecordWriter(output_path) longest_label = '' idx = 0 with open(annota...
class OptionSeriesPyramid3dDataDragdrop(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(fla...
def test_trace(filename, get_datetime, print_commands=False): with open(filename) as trace_file: sequence = parse_trace(trace_file, get_datetime) errors = {'crash': 0, 'clash': 0} counter = 0 start = time.time() for (command, out) in sequence: counter += 1 if print_commands: ...
def update_request_body_for_consent_served_or_saved(db: Session, verified_provided_identity: Optional[ProvidedIdentity], fides_user_provided_identity: Optional[ProvidedIdentity], request: Request, original_request_data: Union[(PrivacyPreferencesRequest, RecordConsentServedRequest)], resource_type: Union[(Type[PrivacyPr...
('ClippedLinear.v1') def ClippedLinear(nO: Optional[int]=None, nI: Optional[int]=None, *, init_W: Optional[Callable]=None, init_b: Optional[Callable]=None, dropout: Optional[float]=None, normalize: bool=False, slope: float=1.0, offset: float=0.0, min_val: float=0.0, max_val: float=1.0) -> Model[(Floats2d, Floats2d)]: ...
class Link(Sized): def to_json(self) -> str: encoder = JSONEncoder(sort_keys=True) return encoder.encode(self) def __len__(self) -> int: return self.size def displace(self, q: float) -> npt.NDArray[np.float64]: raise NotImplementedError def transform(self, q: float=0) -> ...
('fides.api.service.masking.strategy.masking_strategy_aes_encrypt.encrypt') def test_mask_gcm_happypath(mock_encrypt: Mock): mock_encrypt.return_value = 'encrypted' cache_secrets() masked_value = AES_STRATEGY.mask(['value'], request_id)[0] mock_encrypt.assert_called_with('value', b'y\xc5I\xd4\x92\xf6G\t...
def test_ttlist_woff(capsys, tmpdir): inpath = os.path.join('Tests', 'ttx', 'data', 'TestWOFF.woff') fakeoutpath = tmpdir.join('TestWOFF.ttx') options = ttx.Options([], 1) options.listTables = True options.flavor = 'woff' ttx.ttList(inpath, str(fakeoutpath), options) (out, err) = capsys.read...
def test_score_diff_from_transaction(): good_holdings = {'good_id': 2} currency_holdings = {'FET': 100} utility_params = {'good_id': 20.0} exchange_params = {'FET': 10.0} ownership_state = OwnershipState() ownership_state.set(amount_by_currency_id=currency_holdings, quantities_by_good_id=good_ho...
class OptionYaxisLabels(Options): def align(self): return self._config_get(None) def align(self, text: str): self._config(text, js_type=False) def allowOverlap(self): return self._config_get(False) def allowOverlap(self, flag: bool): self._config(flag, js_type=False) ...
def _validate_and_bolster_requested_submission_window(fy: int, quarter: Optional[int], period: Optional[int]) -> (int, Optional[int], Optional[int]): if ((quarter is None) and (period is None)): raise InvalidParameterException("Either 'period' or 'quarter' is required in filters.") if ((quarter is not N...
class Login(MethodView): def post(self): user_api = UserTable() data = request.get_data() data = json.loads(data.decode('UTF-8')) username = data.get('username') password = data.get('password') if (not re_user.search(username)): ret = {'code': 401, 'messag...
def test_schema_overrides_hydra(monkeypatch: Any, tmpdir: Path) -> None: monkeypatch.chdir('tests/test_apps/schema_overrides_hydra') cmd = ['my_app.py', ('hydra.run.dir=' + str(tmpdir)), 'hydra.job.chdir=True'] (result, _err) = run_python_script(cmd) assert (result == 'job_name: test, name: James Bond, ...
def main(): try: log_level = getattr(rospy, rospy.get_param(('/%s/log_level' % PROCESS_NAME), 'INFO')) except Exception as e: print(('Error while set the log level: %s\n->INFO level will be used!' % e)) log_level = rospy.INFO rospy.init_node(PROCESS_NAME, log_level=log_level) set...
.django_db def test_federal_account_list_success(client, monkeypatch, bureau_data, helpers): helpers.mock_current_fiscal_year(monkeypatch) resp = client.get(url.format(toptier_code='001', bureau_slug='test-bureau-1', query_params=f'?fiscal_year={helpers.get_mocked_current_fiscal_year()}')) expected_result =...
.parametrize('log_base, exp_age, exp_marks, learned_c', _params_test_automatic_find_variables) def test_param_C_is_dict_user(log_base, exp_age, exp_marks, learned_c, df_vartypes): transformer = LogCpTransformer(base=log_base, C={'Age': 19.0}) X = transformer.fit_transform(df_vartypes) transf_df = df_vartype...
def tts(model, text): if use_cuda: model = model.cuda() model.encoder.eval() model.postnet.eval() sequence = np.array(text) sequence = Variable(torch.from_numpy(sequence)).unsqueeze(0) if use_cuda: sequence = sequence.cuda() (mel_outputs, linear_outputs, alignments) = model(s...
def test_get_contributors_ranking_mbm_change_report(): contributor_field = 'Contributor' commits_amount_field = 'Commits' (jan, feb, dec) = (datetime(year=2020, month=1, day=1), datetime(year=2020, month=2, day=1), datetime(year=2020, month=12, day=1)) reports = [(jan, pd.DataFrame([{contributor_field: ...
def normalise_font(font, padding=4): DSIG_copy = copy.deepcopy(font['DSIG']) del font['DSIG'] origFlavor = font.flavor origRecalcBBoxes = font.recalcBBoxes origRecalcTimestamp = font.recalcTimestamp origLazy = font.lazy font.flavor = None font.recalcBBoxes = False font.recalcTimestam...
def test_remove_option(bus, config, mocker, tmpdir): tmp_path = tmpdir.mkdir('tmp').join('tomate.config') config.config_path = (lambda : tmp_path.strpath) config.set('section', 'option', 'value') subscriber = mocker.Mock() bus.connect(Events.CONFIG_CHANGE, subscriber, weak=False) config.remove('...
def _get_available_ram_linux() -> int: with open('/proc/meminfo') as f: for line in f: try: (key, value) = line.split(':', 1) except ValueError: continue suffix = ' kB\n' if ((key == 'MemAvailable') and value.endswith(suffix)): ...
def main(): data = load_iris() X = normalize(data['data']) y = data['target'] y = np.zeros((data['target'].shape[0], 3)) y[(np.arange(data['target'].shape[0]).astype('int'), data['target'].astype('int'))] = 1 (X_train, X_test, y_train, y_test) = train_test_split(X, y, test_size=0.33) clf = M...