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def validateFilename(value): """ Validate filename. """ if 0 == len(value): raise ValueError("Name of SimpleGridDB file must be specified.") return value
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def readPNM(fd): """Reads the PNM file from the filehandle""" t = noncomment(fd) s = noncomment(fd) m = noncomment(fd) if not (t.startswith('P1') or t.startswith('P4')) else '1' data = fd.read() ls = len(s.split()) if ls != 2 : name = "<pipe>" if fd.name=="<fdopen>" else "Filename = {0}".format(fd.nam...
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def test_atomic_decimal_enumeration_4_nistxml_sv_iv_atomic_decimal_enumeration_5_5(mode, save_output, output_format): """ Type atomic/decimal is restricted by facet enumeration. """ assert_bindings( schema="nistData/atomic/decimal/Schema+Instance/NISTSchema-SV-IV-atomic-decimal-enumeration-5.xsd...
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def run(argv=None): """ Pipeline entry point, runs the all the necessary processes """ # Initialize runtime parameters as object pipeline_options = PipelineOptions() # Save main session state so pickled functions and classes # defined in __main__ can be unpickled pipeline_options.view_as...
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def gdxfile(rawgdx): """A gdx.File fixture.""" return gdx.File(rawgdx)
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def generate_sample( # pylint: disable=too-many-arguments samp: Sample, set_type: str, handler: typing.Callable, input_path: Path, output_path: Path, pre_proc: ProcType, post_proc: ProcType): """Generate JSON for a sample Arguments: samp {Sample}...
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def test_children(): """test ExternalLink.__children__()""" node1 = ExternalLink(wraptext("http://example.com/"), brackets=False) node2 = ExternalLink(wraptext("http://example.com/"), wrap([Text("Example"), Text("Page")])) gen1 = node1.__children__() gen2 = node2.__children_...
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def AppBar( absolute: bool = None, app: bool = None, attributes: dict = {}, bottom: bool = None, children: list = [], class_: str = None, clipped_left: bool = None, clipped_right: bool = None, collapse: bool = None, collapse_on_scroll: bool = None, color: str = None, dark...
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def check_file(filename): """Check if "filename" exists and is a file. Returns: True if file exists and is a file. False if filename==None or is not a file. """ file_ok = True error_mssg = "" if(filename == None): error_mssg = "Error: file is missing." f...
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def conjoin(*funcs): """ Creates a function that composes multiple predicate functions into a single predicate that tests whether **all** elements of an object pass each predicate. Args: *funcs (callable): Function(s) to conjoin. Returns: Conjoin: Function(s) wrapped in a :class:`C...
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def main(): """ Entry-point for the function. """ conn_obj = connect_to_database_server(DATABASE) if conn_obj == -1: print("Connection to PostgreSQL Database: {} failed.".format(DATABASE)) sys.exit(0) else: conn = conn_obj[0] cur = conn_obj[1] n_...
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def calculate_file_sha256(file_path): """calculate file sha256 hash code.""" with open(file_path, 'rb') as fp: sha256_cal = hashlib.sha256() sha256_cal.update(fp.read()) return sha256_cal.hexdigest()
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def select_columns_by_feature_type(df, unique_value_to_total_value_ratio_threshold=.05, text_unique_threshold=.9, exclude_strings = True, return_dict = False, return_type='categoric'): """ Determine if a column fits into one of the following types: numeric, categoric, datetime, text. set r...
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def _Counter_random(self, filter=None): """Return a single random elements from the Counter collection, weighted by count.""" return _Counter_randoms(self, 1, filter=filter)[0]
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def EnsureAndroidSdkPackagesInstalled(abi): """Return true if at least one package was not already installed.""" abiPackageList = SdkPackagesForAbi(abi) installedSomething = False packages = AndroidListSdk() for package in abiPackageList: installedSomething |= EnsureSdkPackageInstalled(packa...
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def dataframe_like(value, name, optional=False, strict=False): """ Convert to dataframe or raise if not dataframe_like Parameters ---------- value : object Value to verify name : str Variable name for exceptions optional : bool Flag indicating whether None is allowed ...
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def pcaFunc(z, n_components=100): """ PCA """ pca = PCA(n_components=100) pca_result = pca.fit_transform(z) re = pd.DataFrame() re['pca-one'] = pca_result[:, 0] re['pca-two'] = pca_result[:, 1] re['pca-three'] = pca_result[:, 2] # Not print Now # print('Explained variation pe...
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def choose_optimizer(discriminator, generator, netD, netG, lr_d=2e-4, lr_g=2e-3): """ Set optimizers for discriminator and generator :param discriminator: str, name :param generator: str, name :param netD: :param netG: :param lr_d: :param lr_g: :return: optimizerD, optimizerG """...
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def run_migrations_offline(): """Run migrations in 'offline' mode. This configures the context with just a URL and not an Engine, though an Engine is acceptable here as well. By skipping the Engine creation we don't even need a DBAPI to be available. Calls to context.execute() here emit the giv...
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def prod(*args: int) -> int: """ This function is wrapped and documented in `_polymorphic.prod()`. """ prod_ = 1 for arg in args: prod_ *= arg return prod_
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def field_value(field): """ Returns the value for this BoundField, as rendered in widgets. """ if field.form.is_bound: if isinstance(field.field, FileField) and field.data is None: val = field.form.initial.get(field.name, field.field.initial) else: val = field.dat...
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def distances(p): """Compute lengths of shortest paths between all nodes in Pharmacophore. Args: p (Pharmacophore): model to analyse Returns: dist (numpy array): array with distances between all nodes """ if not isinstance(p, Pharmacophore): raise TypeError("Expected Pharmac...
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def initial_data(logged_on_user, users_fixture, streams_fixture): """ Response from /register API request. """ return { 'full_name': logged_on_user['full_name'], 'email': logged_on_user['email'], 'user_id': logged_on_user['user_id'], 'realm_name': 'Test Organization Name'...
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def affine_relu_backward(dout, cache): """ Backward pass for the affine-relu convenience layer """ fc_cache, relu_cache = cache da = relu_backward(dout, relu_cache) dx, dw, db = affine_backward(da, fc_cache) return dx, dw, db
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def total_equalities_generator(block): """ Generator which returns all equality Constraint components in a model. Args: block : model to be studied Returns: A generator which returns all equality Constraint components block """ for c in activated_block_component_generator(block...
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def create_initial_population() -> List[Image]: """ Create population at step 0 """ return [random_image() for _ in range(POP_SIZE)]
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def adapt(value: Any, pg_type: str) -> Any: """ Coerces a value with a PG type into its Python equivalent. :param value: Value :param pg_type: Postgres datatype :return: Coerced value. """ if value is None: return None if pg_type in _TYPE_MAP: return _TYPE_MAP[pg_type](v...
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def createPREMISEventXML(eventType, agentIdentifier, eventDetail, eventOutcome, outcomeDetail=None, eventIdentifier=None, linkObjectList=[], eventDate=None): """ Actually create our PREMIS Event XML """ eventXML = etree.Element(PREMIS + "event", nsmap=P...
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def get_primary_key(conn, table, columns): """ attempts to reverse lookup the primary key by querying the table using the first column and iteratively adding the columns that comes after it until the query returns a unique row in the table. :param conn: an SQLite connection object ...
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def redirect_to_docs(): """Redirect to API docs when at site root""" return RedirectResponse('/redoc')
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def pytest_generate_tests(metafunc): """ Dynamic test case generation and parameterization for this module. """ if "delimiter" in metafunc.fixturenames: metafunc.parametrize("delimiter", ["\t", ","])
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def init_neighbours(key): """ Sets then neighbouring nodes and initializes the edge count to the neighbours to 1 :param key: str - key of node to which we are searching the neighbours :return: dictionary of neighbours with corresponding edge count """ neighbours = {} neighbouring_nodes = gra...
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def computeNumericalGradient(J, theta): """ Compute numgrad = computeNumericalGradient(J, theta) theta: a matrix of parameters J: a function that outputs a real-number and the gradient. Calling y = J(theta)[0] will return the function value at theta. """ # Initialize numgrad with zeros numgrad = np.zer...
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def get_error_msg(handle): """ Get the latest and greatest DTrace error. """ txt = LIBRARY.dtrace_errmsg(handle, LIBRARY.dtrace_errno(handle)) return c_char_p(txt).value
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def sigma_hat(frequency, sigma, epsilon=epsilon_0, quasistatic=False): """ conductivity with displacement current contribution .. math:: \hat{\sigma} = \sigma + i \omega \\varepsilon **Required** :param (float, numpy.array) frequency: frequency (Hz) :param float sigma: electrical con...
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def encode_list(key, list_): # type: (str, Iterable) -> Dict[str, str] """ Converts a list into a space-separated string and puts it in a dictionary :param key: Dictionary key to store the list :param list_: A list of objects :return: A dictionary key->string or an empty dictionary """ ...
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async def delete_relationship(request: web.Request): """ Remove relationships of resource. Uses the :meth:`~aiohttp_json_api.schema.BaseSchema.delete_relationship` method of the schema to update the relationship. :seealso: http://jsonapi.org/format/#crud-updating-relationships """ relation...
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def save_obj(obj, saved_name ): """ =============================================================== save_obj(obj, saved_name ) =============================================================== this function is used to save any python object to your hard desk Inputs: ---------- ...
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def cost_efficiency(radius, height, cost): """Compute and return the cost efficiency of a steel can size. The cost efficiency is the volume of the can divided by its cost. Parameters radius: the radius of the steel can height: the height of the steel can cost: the cost of the steel ...
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def process_response(): """ Outer scope for processing the response to a request via the '/response' endpoint. Ensure all data is present, request exists in Pending table and then change case status and notify app about the response via webhook. :return: status code, message TODO set up TOD...
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def test_point_within_dimensions_border(): """Make sure a point on the non-zero border is rejected as out of bounds""" point = np.array([100, 20]) image_dimensions = np.array([100, 100]) assert not point_within_dimensions(point, image_dimensions)
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def cb_xmlrpc_register(args): """ Register as a pyblosxom XML-RPC plugin """ args['methods'].update({'pingback.ping': pingback}) return args
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def try_except(method): """ A decorator method to catch Exceptions :param: - `func`: A function to call """ def wrapped(self, *args, **kwargs): try: return method(self, *args, **kwargs) except self.error as error: log_error(error, self.logger, self.erro...
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def sosfilter_double_c(signal, sos, states=None): """Second order section filter function using cffi, double precision. signal_out, states = sosfilter_c(signal_in, sos, states=None) Parameters ---------- signal : ndarray Signal array of shape (N x 0). sos : ndarray Second order...
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def log_to_csv(queries_info): """ Write to CSV. """ with open('file_name.csv', 'a') as f: writer = csv.writer(f) for line in queries_info: writer.writerow(line)
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def setup_logging(name, default_path='graphy/logging.yaml', default_level=logging.INFO): """ Setup logging configuration """ path = files.get_absolute_path(default_path, from_project=True) try: with open(path, 'r') as f: config = yaml.safe_load(f.read()) logging.config.dictCo...
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def test_STMM_fit(): """Test Fit of STMB""" clf = STMB(typemulticlassifier='ovr',C1=1.0, C2=1.0, maxIter=30, tolSTM=1e-4, penalty = 'l2', dual = True, tol=1e-4,loss = 'squared_hinge', maxIterSVM=100000)
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def node_exporter_check(): """ Checks existence & health of node exporter pods """ kube = kube_api() namespaces = kube.list_namespace() ns_names = [] for nspace in namespaces.items: ns_names.append(nspace.metadata.name) result = {'category': 'observability', 'case...
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def create(cmd, resource_group_name=None, workspace_name=None, location=None, storage_account=None, skip_role_assignment=False, provider_sku_list=None): """ Create a new Azure Quantum workspace. """ client = cf_workspaces(cmd.cli_ctx) if not workspace_name: raise RequiredArgumentMissingError...
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def functional_domain_min(braf_gene_descr_min, location_descriptor_braf_domain): """Create functional domain test fixture.""" params = { "status": "preserved", "name": "Serine-threonine/tyrosine-protein kinase, catalytic domain", "id": "interpro:IPR001245", ...
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def rsa_encrypt(rsa_key, data): """ rsa_key: 密钥 登录密码加密 """ data = bytes(data, encoding="utf8") encrypt = PKCS1_v1_5.new(RSA.importKey(rsa_key)) Sencrypt = b64encode(encrypt.encrypt(data)) return Sencrypt.decode("utf-8")
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def shuffle_and_split_data(data_frame): """ Shuffle and split the data into 2 sets: training and validation. Args: data_frame (pandas.DataFrame): the data to shuffle and split Returns: 2 numpy.ndarray objects -> (train_indices, validation_indices) Each hold the inde...
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def test_disable_agent_zero_slots() -> None: """ Start a command, disable the agent it's running on. The command should then be terminated promptly. """ slots = _fetch_slots() assert len(slots) == 1 agent_id = slots[0]["agent_id"] command_id = run_zero_slot_command(sleep=60) # Wait ...
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def parse_array_from_string(list_str, dtype=int): """ Create a 1D array from text in string. Args: list_str: input string holding the array elements. Array elements should be contained in brackets [] and seperated by comma. dtype: data type of the array elements. Default ...
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def download_api_coinslists_handler(bot, job): """ the function to download API from the agregators sites to local file :param bot: a telegram bot main object :type bot: Bot :param job: job.context is a name of the site-agregator, which has been send from job_queue.run_repeating... method ...
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def Maj(x, y, z): """ Majority function: False when majority are False Maj(x, y, z) = (x ∧ y) ⊕ (x ∧ z) ⊕ (y ∧ z) """ return (x & y) ^ (x & z) ^ (y & z)
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def get_package_data(): """Load services and conn_states data into memory""" with open(DATA_PKL_FILE, "rb") as f: services, conn_states = pickle.load(f) return services, conn_states
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def is_module(module): """Check if a given string is an existing module contained in the ``MODULES_FOLDER`` constant.""" if (os.path.isdir(os.path.join(MODULES_FOLDER, module)) and not module.startswith('_')): return True return False
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def _finalize_sv(solution_file, data): """Add output files from TitanCNA calling optional solution. """ out = {"variantcaller": "titancna"} with open(solution_file) as in_handle: solution = dict(zip(in_handle.readline().strip("\r\n").split("\t"), in_handle.readline()....
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def list_dumps(dump_list, **kwargs): """Function: list_dumps Description: Lists the dumps under the current repository. Arguments: (input) dump_list -> List of database dumps (input) kwargs: raw -> True|False - Print raw data in JSON format """ dump_list = list(dum...
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def test_create_jobs_returns_the_job(client): """Return the created job""" response = client.post( '%s/jobs' % BASE_URL, data=json.dumps(DATA), headers=HEADERS) answer = DATA.copy() del answer['type'] assert response.get_json() == answer
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def test_parse_args_and_kwargs(): """Parse args and kwargs.""" docstring = """ Arguments: a (str): an argument. *args (str): args arguments. **kwargs (str): kwargs arguments. """ sections, warnings = parse(docstring) assert len(sections) == 1 expected...
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def compare_collision_diagram( path_data, gt_data, sim_data, begin=0, end=0, time_step_sim=0.0005, time_step_gt=0.01): """ Plots collision/gait diagrams. Parameters ---------- path_data: <str> Path to simulation results. sim_data: <str...
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def reload_county(): """ Return bird species, totals, location to map """ # receive data from drop-down menu ajax request bird = request.args.get("bird") county = request.args.get("county") # get the zoom level of the new chosen county zoomLevel = get_zoom(county) # reset session data fr...
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def test_train_pass_3(example_timeseries, example_results, modify_config): """ Correctly run training script with plots """ mod_cfg = {'dataset': {'output': example_results['results_dir']}} with modify_config(example_timeseries['config'], mod_cfg) as cfg: runner = CliRunner() result = ru...
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def get_conv2d_out_channels(kernel_shape, kernel_layout): """Get conv2d output channels""" kernel_shape = get_const_tuple(kernel_shape) if len(kernel_shape) == 4: idx = kernel_layout.find("O") assert idx >= 0, "Invalid conv2d kernel layout {}".format(kernel_layout) return kernel_shap...
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def bindparam(key, value=None, type_=None, unique=False, required=False, callable_=None): """Create a bind parameter clause with the given key. :param key: the key for this bind param. Will be used in the generated SQL statement for dialects that use named parameters. This v...
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def set_membership_to_true(apps, schema_editor): """Set membership_is_managed to true""" Channel = apps.get_model("channels", "Channel") # At the point the migration runs Channel.objects.all().update(membership_is_managed=True)
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def create_dictionary(timestamp, original_sentence, sequence_switched, err_message, suggestion_list): """Create Dictionary Function Generates and exports a dictionary object with relevant data for website interaction to take place. """ if len(suggestion_list) != 0: err_message_str = "Possible e...
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def test_cannot_execute_shell(): """The credential should raise CredentialUnavailableError when the subprocess doesn't start""" with patch(POPEN, Mock(side_effect=OSError)): with pytest.raises(CredentialUnavailableError): AzurePowerShellCredential().get_token("scope")
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def benefits(path): """Unemployment of Blue Collar Workers a cross-section from 1972 *number of observations* : 4877 *observation* : individuals *country* : United States A time serie containing : stateur state unemployment rate (in %) statemb state maximum benefit level state ...
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def get_L_BB_b2_d_t(L_BB_b2_d, L_dashdash_b2_d_t): """ Args: L_BB_b2_d: param L_dashdash_b2_d_t: L_dashdash_b2_d_t: Returns: """ L_BB_b2_d_t = np.zeros(24 * 365) L_BB_b2_d = np.repeat(L_BB_b2_d, 24) L_dashdash_b2_d = np.repeat(get_L_dashdash_b2_d(L_dashdash_b2_d_t), 24) ...
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def _get_tab_counts(business_id_filter, conversation_tab, ru_ref_filter, survey_id): """gets the thread count for either the current conversation tab, or, if the ru_ref_filter is active it returns the current conversation tab and all other tabs. i.e the value for the 'current' tab is always populated. Calls...
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def IsInverseTime(*args): """Time delay is inversely adjsuted, proportinal to the amount of voltage outside the regulating band.""" # Getter if len(args) == 0: return lib.RegControls_Get_IsInverseTime() != 0 # Setter Value, = args lib.RegControls_Set_IsInverseTime(Value)
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def create_userinfo(fname, lname, keypass): """ function to create new user """ new_userinfo = Userinfo(fname, lname, keypass) return new_userinfo
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def get_networks() -> Dict[str, SpikingNetwork]: """Get a set of spiking networks to train.""" somatic_spike_fn = get_spike_fn(threshold=15) dendritic_nl_fn = get_default_dendritic_fn( threshold=2, sensitivity=10, gain=1 ) neuron_params = RecurrentNeuronParameters( tau_mem=10e-3, ...
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def _load_jupyter_server_extension(server_app): """Registers the API handler to receive HTTP requests from the frontend extension. Parameters ---------- lab_app: jupyterlab.labapp.LabApp JupyterLab application instance """ ...
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def test_custom_entity_marshaler(): """Test that json marshaler use custom marshaler to marshal an entity. 1. Create a sub-class of JSONMarshaler with redefined create_entity_marshaler factory. 2. Create json marshaler from the sub-class. 3. Marshal an entity. 4. Check that custom marshaler is used...
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def plot_gain_offsets(dio_cross,dio_chan_per_coarse=8,feedtype='l',ax1=None,ax2=None,legend=True,**kwargs): """ Plots the calculated gain offsets of each coarse channel along with the time averaged power spectra of the X and Y feeds """ #Get ON-OFF ND spectra Idiff,Qdiff,Udiff,Vdiff,freqs = get_...
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def process_files(pair_path): """ Process all protein (pdb) and ligand (sdf) files in input directory. Args pair_path dir (str): directory containing PDBBind data Returns structure_dict (dict): dictionary containing each structure, keyed by PDB code. Each PDB is a dict containing protein...
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def metric_group_max(df, metric_names=None): """Find the step which achieves the highest mean value for a group of metrics.""" # Use METRIC_NAMES defined at the top as default metric_names = metric_names or METRIC_NAMES group_to_metrics = collections.defaultdict(set) for metric in metric_names.values(): g...
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def save_output(issues, filename): """Save output to file.""" with open(filename, 'a') as output: for issue in issues: output.write(issue)
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def get_settings_value(definitions: Definitions, setting_name: str): """Get a Mathics Settings` value with name "setting_name" from definitions. If setting_name is not defined return None""" settings_value = definitions.get_ownvalue(setting_name) if settings_value is None: return None return set...
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def show_clusterhost(clusterhost_id): """Get clusterhost.""" data = _get_request_args() return utils.make_json_response( 200, _reformat_host(cluster_api.get_clusterhost( clusterhost_id, user=current_user, **data )) )
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def resize3d_cubic(data_in, scale, coordinate_transformation_mode): """Tricubic 3d scaling using python""" dtype = data_in.dtype d, h, w = data_in.shape new_d, new_h, new_w = [int(round(i * s)) for i, s in zip(data_in.shape, scale)] data_out = np.ones((new_d, new_h, new_w)) def _cubic_spline_we...
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def seasurface_skintemp_correct(*args): """ Description: Wrapper function which by OOI default applies both of the METBK seasurface skin temperature correction algorithms (warmlayer, coolskin in coare35vn). This behavior is set by the global switches JWARMFL=1 and JCOOLFL=1. The ...
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def run_experiment_here( experiment_function, variant=None, exp_id=0, seed=0, use_gpu=True, gpu_id=0, # Logger params: exp_name="default", snapshot_mode='last', snapshot_gap=1, git_infos=None, script_name=None, trial...
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def extract_character_pairs(letter_case, reverse_letter_case): """ Extract character pairs. Check that two unicode value are also a mapping value of each other. :param letter_case: case mappings dictionary which contains the conversions. :param reverse_letter_case: Comparable case mapping table which c...
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def test_to_graph_should_return_link_to_spatial_coverage_with_location_triple() -> None: """It returns a spatial coverage graph isomorphic to spec.""" dataset = Dataset() dataset.identifier = "http://example.com/datasets/1" # Create location: location = Location() location.identifier = "http://e...
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def after_timestep(simulation, is_steady, force_steady=False): """ Move u -> up, up -> upp and prepare for the next time step """ # Stopping criteria for steady state simulations vel_diff = None if is_steady: vel_diff = 0 for d in range(simulation.ndim): u_new = simul...
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def get_summary_indices(df, on='NOSC'): """ Get the summary stats for the indices: median, mean, std, weighted mean and weighted std """ samples = get_list_samples(df) samples.append(on) t = df[samples] t = t.melt(id_vars=[on], var_name='SampleID', value_name='NormIntensity') t = t[t['NormI...
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def view_evidence(evidence_id: int): """View a single Evidence model.""" evidence = manager.get_evidence_by_id_or_404(evidence_id) return render_template( 'evidence/evidence.html', evidence=evidence, manager=manager, )
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def get_filenames(split, mode, data_dir): """Returns a list of filenames.""" if not split: data_dir = os.path.join(data_dir, 'cifar-10-batches-bin') assert os.path.exists(data_dir), ( 'Run cifar10_download_and_extract.py first to download and extract the ' 'CIFAR-10 data.') if split: if mo...
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def rigidBlades(blds, hub=None, r_O=[0,0,0]): """ return a rigid body for the three blades All bodies should be in a similar frame """ blades = blds[0].toRigidBody() for B in blds[1:]: B_rigid = B.toRigidBody() blades = blades.combine(B_rigid, r_O=r_O) blades.name='blades' re...
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def mea_slow(posterior_matrix, shortest_ref_per_event, return_all=False): """Computes the maximum expected accuracy alignment along a reference with given events and probabilities. Computes a very slow but thorough search through the matrix :param posterior_matrix: matrix of posterior probabilities with r...
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def predict(cart_tree, feature_set, data_set): """Predict the quality.""" feature_dict = {} for index, feature in enumerate(feature_set): feature_dict[feature] = index results = [] for element in data_set: # Append a tuple. results.append((trace(cart_tree, feature_dict, eleme...
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def _generate_residue_name(residue, smiles): """Generates residue name for a particular residue which corresponds to a particular smiles pattern. Where possible (i.e for amino acids and ions) a standard residue name will be returned, otherwise a random name will be used. Parameters ---------- ...
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def test_incorporate_getitem_through_switch(tag): """ test_incorporate_getitem_through_switch """ fns = FnDict() scalar_gt = Primitive('scalar_gt') @fns def before(x, y): def f1(x, y): return x, y def f2(x, y): return y, x return tuple_getitem( ...
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def response_json(status, message, response): """ Helper method that converts the given data in json format :param success: status of the APIs either true or false :param data: data returned by the APIs :param message: user-friendly message :return: json response """ data = { "status": status, "message": me...
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def settings(request): """ """ from . import conf conf = dict(vars(conf)) # conf.update(ThemeSite.objects.get_theme_conf(request=request, fail=False)) data = request.session.get('cms_bs3_theme_conf', {}) conf.update(data) return {'bs3_conf': conf}
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