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def gather_audio_video_eavesdropping(x) : """ @param x : a Analysis instance @rtype : a list strings for the concerned category, for exemple [ 'This application makes phone calls', "This application sends an SMS message 'Premium SMS' to the '12345' phone number" ] """ result = [] ...
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def vdw_radius_single(element): """ Get the Van-der-Waals radius of an atom from the given element. [1]_ Parameters ---------- element : str The chemical element of the atoms. Returns ------- The Van-der-Waals radius of the atom. If the radius is unknown for the element...
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def evaluate_ins_to_proto(ins: typing.EvaluateIns) -> ServerMessage.EvaluateIns: """Serialize flower.EvaluateIns to ProtoBuf message.""" parameters_proto = parameters_to_proto(ins.parameters) config_msg = metrics_to_proto(ins.config) return ServerMessage.EvaluateIns(parameters=parameters_proto, config=c...
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def avatar_synth_df(dir, batch_size, num_threads): """ Get data for training and evaluating the AvatarSynthModel. :param dir: The data directory. :param batch_size: The minibatch size. :param num_threads: The number of threads to read and process data. :return: A dataflow for parameter to bitm...
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def compile(file, cfile=None, dfile=None, doraise=False): """Does nothing on IronPython. IronPython does not currently support compiling to .pyc or any other format. """ return
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def _append_char_coded_text(elem, s, char_code_pat): """Append s to C{elem} with text in coded with character style codes converted to span elements. @param elem: element corresponding to an MDF field. This is modified by the function. It may already have 'span' subelements corresponding to cha...
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def assign_material(obj, materialname): """This function assigns a material to an objects mesh. :param obj: The object to assign the material to. :type obj: bpy.types.Object :param materialname: The materials name. :type materialname: str """ if materialname not in bpy.data.materials: ...
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def _check_stack_axis(axis, dims, default='unnamed'): """ check or get new axis name when stacking array or datasets (just to have that in one place) """ if axis is None: axis = default if axis in dims: i = 1 while default+"_{}".format(i) in dims: ...
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def eval_push_time_ratios(problem_size: int = 3000) -> Optional[TimeRatioType]: """ Function that calculates the execution time ratios, for the different time complexities. Here, a process pool is created in order to speed up the process of generating the lists of time ratios, for each time complexity....
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def validate_pbi_sprint(sprint, snapshot_date): """ Validate sprint in a pbi, try to create it if possible """ if sprint is None: raise ValidationError('Sprint cannot be null') from ..models import Sprint sprt = Sprint.objects.get(id=sprint.id) if sprt is not None: # si la date d...
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def add_sim(Θ, f, Θs, G, D, Θ_s, G_s, D_s, sim_time_s, **state): """Add a simulation to the known simulations by performing the simulation. """ t0 = time.time() g_s, d_s = gwed(Θ, f=f, **state) Θs.append(Θ) G.append(g_s) D.append(d_s) Θ_s.append(Θ) G_s.append(g_s) D_s.append(d_s)...
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def organize_photos(path: str): """ organize_photos :param path: :return: """ for file in os.listdir(path): if os.path.isfile(os.path.join(path, file)): move_photo(os.path.join(path, file)) elif os.path.isdir(os.path.join(path, file)): organize_photos(os.path.join(path, file)) else: print("**** " +...
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def _load_data(): """ Internal function to get the data to plot. """ # Load homicides homicides = gv_data.PoliceHomicides.get() # Calculate concentrated disadvantage sub_data = [] for cls in [ "PublicAssistance", "FemaleHouseholders", "PercentInPoverty", ...
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def test_auto_add_dataloader_idx(tmpdir, add_dataloader_idx): """test that auto_add_dataloader_idx argument works.""" class TestModel(BoringModel): def val_dataloader(self): dl = super().val_dataloader() return [dl, dl] def validation_step(self, *args, **kwargs): ...
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def move(x_pos, y_pos): """Return the G-CODE describing motion to x_pos, y_pos.""" out = "" out += "G1X"+str(x_pos)+"Y"+str(y_pos)+"F"+str(FEEDRATE)+";\n" out += "M400;\n" return out
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def load_scrub_optional_upload(storage_folder: str, filename: str) -> str: """Loads a option file that was previously saved in the storage folder. :param storage_folder: A string representing the path of the storage folder. :param filename: A string representing the name of the file that is being ...
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def Editor_NewExistingLevels_Works(): """ Summary: Perform the below operations on Editor 1) Launch & Close editor 2) Create new level 3) Saving and loading levels 4) Level edits persist after saving 5) Export Level 6) Can switch to play mode (ctrl+g) and e...
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def test_kb_wrap_exceptions( version_id: str, kbpk_len: int, key_len: int, error: str ) -> None: """Test wrap exceptions""" with pytest.raises(tr31.KeyBlockError) as e: kb = tr31.KeyBlock(b"E" * kbpk_len) kb.header._version_id = version_id _ = kb.wrap(b"F" * key_len) assert e.val...
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def test_backlinks(fixture, chain_id): """ NOTE: these links all use `parameters` and not `requestBody` or `x-apigraph-requestBodyParameters` """ doc_uri = fixture_uri(fixture) apigraph = APIGraph(doc_uri) assert apigraph.docs.keys() == {doc_uri} expected_nodes = [ NodeKey(doc_...
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def visualize_result( experiment_name, X_test, Y_test, Y_hat, parameters, losses=None, save_dir="results" ): """ 结果可视化 """ # 没有保存目录时创建 now = datetime.now().strftime("%Y%m%d%H%M%S") save_dir += "_" + experiment_name + os.sep + now if not os.path.exists(save_dir): ...
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def compute_error_decrease(fun, VX, EToV) -> Dict[int, float]: """ Computes estimate of possible error decrease for each element in mesh. :param fun: Function float -> float :param VX: dict from point id to its position on x axis. :param EToV: dict from element id to a tuple of its boundary points....
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def file_name_to_title_name(file_name): """ #Arguments check_mk_url (str): URL to Check_Mk web application, check file names and print for each file in the directory in the correct format #Examples file_name_to_title_name('activate_mode') output = 'Activate Mode: activate_mode.md' """ ...
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def save_binary_mask_triple( rgb_img: np.ndarray, label_img: np.ndarray, save_fpath: str, save_to_disk: bool = False ) -> np.ndarray: """Currently mask img background is light-blue. Instead, could set it to white. np.array([255,255,255]) Args: rgb_img: label_img: save_fpath ...
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def disc_train_step( input_images, avg_input, real_images, input_condns, real_condns, epoch, ): """ Discriminator training step. Args: input_images: tf tensor of training images for template branch. avg_input: tf tensor of linear average repeated 'batch_size' times. input_images: tf ...
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def get_random_fortune(fortune_file): """ Get a random fortune from the specified file. Barfs if the corresponding `.dat` file isn't present. :Parameters: fortune_file : str path to file containing fortune cookies :rtype: str :return: the random fortune """ fortune...
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def output_data( files : List[pathlib.Path], parser : Callable[[List[str]], List[Dict[str, DataValue]]] ) -> Optional[OutputData]: """Parses output datapoints from a list of output files. Args: files: A list of data output files to parse parser: A function that turns a list of data lines into a...
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def test_side_view(capsys): """Supplying two outfile should print out the two outputs side-by-side.""" outfiles = [os.path.join(fixtures_dir, 'one.out'), os.path.join(fixtures_dir, 'two.in')] expected_file = os.path.join(fixtures_dir, 'side_view_expected.geomconv') geomconv.main(outfiles...
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async def delete_item(item_id: int, db: Session = Depends(get_db)): """ Delete the Item with the given ID provided by User stored in database """ db_item = ItemRepo.fetch_by_id(db, item_id) if db_item is None: raise HTTPException(status_code=404, detail="Item not found with the given ID") ...
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def get_clusters(data, model = None, num_clusters = 4, ignore_features = None, normalize = True, transformation = False, pca = False, pca_components = 0.99, ignore_low_variance=Fa...
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def process_messages(deck, messages, encrypt_or_decrypt): """(list of int, list of str, str) -> list of str Return the messages encrypted or decrypted using the specified deck. The parameter encrypt_or_decrypt will be ENCRYPT to encrpyt the message, and DECRYPT to decrypt the message >>>deck = [1,...
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def print_output(r_lst): """ 打印命令行输出的内容 :param r_lst: :return: """ for line in r_lst: print line
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def write_bom_seeed(output_file_slug, components): """Write the BOM according to the Seeed Studio Fusion PCBA template available at: https://statics3.seeedstudio.com/assets/file/fusion/bom_template_2016-08-18.csv ``` Part/Designator,Manufacture Part Number/Seeed SKU,Quantity C1,RHA,1 "D1,D2",CC...
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def alarm(context): """ Handle sending the alarm message """ job = context.job context.bot.send_message(job.context, text=LEMBRETE)
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def clip(wavelength, spectra, threshold, substitute=None): """ Removes or substitutes values above the given threshold. Args: wavelength <numpy.ndarray>: Vector of wavelengths. spectra <numpy.ndarray>: NIRS data matrix. threshold <float>: threshold value for rejection substitute...
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def PrintBlockAnalysis(e: edid.Edid, desc, mode: Mode, raw_mode, start, prefix=None): """Print and interpret a single 18-byte descriptor's information. Called up to 4 times in a base EDID. Uses descriptor module to determine descriptor type. Args: e: The full EDID being parsed. desc: The d...
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def duplicate12(modeladmin, request, queryset): """ Duplicate 12 action. Duplicates each item in the queryset to the next week. Continues duplicating until 12 duplicates are created. Skips to the next week if a similar object already exists. """ for i in queryset: count = 0 ...
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def findMachines(fqpn): """ Recursively yield L{MethodicalMachine}s and their FQPNs in and under the a Python object specified by an FQPN. The discovery heuristic considers L{MethodicalMachine} instances that are module-level attributes or class-level attributes accessible from module scope. M...
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def asynchronous_prod_milp_constraint_rule(backend_model, loc_tech, timestep): """ BigM limit set on `carrier_prod`, forcing it to either be zero or non-zero, depending on whether `prod` is zero or one, respectively. .. container:: scrolling-wrapper .. math:: \\boldsymbol{carrier_p...
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def user_cilogon_certificates_directory_path(instance): """ Return full path to filename based on User UUID value :param instance: :param filename: :return: """ # file will be uploaded to MEDIA_ROOT/cilogon_certificates/user_<uuid>/<filename> return os.path.join(MEDIA_ROOT, 'cilogon_cert...
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def drawCurveArc(self): #---- only for ELLIPSE ------------------------------------------------------------- """Given a dxf ELLIPSE object return a blender_curve. """ center = self.loc radius = self.radius start = self.start_angle end = self.end_angle if start > end: start = start - 360.0 startmatrix = Math...
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def read_pickle(filename, protocol=-1, **kwargs): """ read grid saved in PICKLE format into a GridData object :param filename: full path to the filename :type filename: str :rtype: ~uquake.core.data.grid.Grid """ import pickle return pickle.load(open(filename, 'rb'))
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def test_parameter_check(params, error, err_msg): """Test parameter validation.""" boss = BOSS(**params) with pytest.raises(error, match=re.escape(err_msg)): boss.fit(X, y)
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def linked_ims(im_list, pix_per_um, shape=(2,2), x_range=None, y_range=None, scale_fig=1, scale_height=1.4, brightness=1, palette='Turbo256', cmap_range='from zero', show_fig=True, title_list=[], t_fs=24, ax_fs=16, tk_fs=12, cb_fs=14): """ Shows multiple f...
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def prepend_zeros_to_lists(ls): """ Takes a list of lists and appends 0s to the beggining of each sub_list until they are all the same length. Used for sign-extending binary numbers. """ longest = max([len(l) for l in ls]) for i in range(len(ls)): while len(ls[i]) < longest: ...
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def utility_format_obj_input(): """bad input object""" pm1 = magpy.magnet.Cuboid((1, 2, 3), (1, 2, 3)) pm2 = magpy.magnet.Cuboid((1, 2, 3), (1, 2, 3)) format_obj_input([pm1, pm2, 333])
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def read_qmcpack_hamiltonian(filename): """Read Hamiltonian from QMCPACK format. Parameters ---------- filename : string QMPACK Hamiltonian file. Returns ------- hamil : dict Data read from file. """ try: hc, chol, enuc, nmo, nelec, nmok, qkk2 = ( ...
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def run_rnn(file): # define model params """ Run the process to train/test a recurrent neural network using LSTM using a given dataset file. :param string file: Location of CSV-formatted dataset file :return: Model with expected (test) targets and associated scores :rtype: object, dataframe, ob...
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def lab_results(request, format=None): """Get lab results data.""" if request.method == 'GET': limit = request.query_params.get("limit", 1000) if limit: limit = int(limit) order_by = request.query_params.get("order_by", "") # TODO: Get any filters from dict(request.q...
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def test_J4(i): """ Test a property of J from result 2 of the paper """ d = SD([1 / i] * i) assert J(d) == pytest.approx((i - 1) * (np.log2(i) - np.log2(i - 1)))
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def load(file, file_format=None, **kwargs): """Load data from json, yaml, or pickle files. This method provides a unified api for loading data from serialized files. Args: file (str or file-like object): Filename or a file-like object. file_format (str, optional): If not specified, the fil...
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def get_criteo(root): """Download the Criteo data if it doesn't exist.""" url = 'https://s3-eu-west-1.amazonaws.com/kaggle-display-advertising-challenge-dataset/dac.tar.gz' raw_folder = os.path.join(root, 'criteo', 'raw') processed_folder = os.path.join(root, 'criteo', 'processed') makedir_exist_o...
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def StepToGeom_MakeAxis2Placement_Convert(*args): """ :param SA: :type SA: Handle_StepGeom_Axis2Placement3d & :param CA: :type CA: Handle_Geom_Axis2Placement & :rtype: bool """ return _StepToGeom.StepToGeom_MakeAxis2Placement_Convert(*args)
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def test_best_site(txt, expected_coords, expected_count): """ Test against examples in the brief """ asteroids = solution1.read_array(io.StringIO(txt)) predicted_coords, predicted_count = solution1.calculate_best_site(asteroids) assert predicted_count == expected_count assert (predicted_c...
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def results(year: hug.types.text, firstName: hug.types.text, lastName: hug.types.text): """Returns the results for a given candidate for a given year""" engine = create_engine( 'postgresql://%s:%s@%s/%s' %(user,pwd,ip,user), client_encoding='utf8',echo=False) conn = engine.connect() ...
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async def get_user_from_event(event): """ Get the user from argument or replied message. """ args = event.pattern_match.group(1).split(':', 1) extra = None if event.reply_to_msg_id and not len(args) == 2: previous_message = await event.get_reply_message() user_obj = await event.client.ge...
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def stat_scores_multiple_classes( pred: torch.Tensor, target: torch.Tensor, num_classes: Optional[int] = None, argmax_dim: int = 1, reduction: str = 'none', ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: """ .. deprecated:: Use :func:`torchmetrics.f...
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def learn_skill(entity: EntityID, skill_name: str): """ Add the skill name to the entity's knowledge component. """ if not entity_has_component(entity, Knowledge): add_component(entity, Knowledge([])) knowledge = get_entitys_component(entity, Knowledge) if knowledge: skill_class ...
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def build_resnet( repetitions=(2, 2, 2, 2), include_top=True, input_tensor=None, input_shape=None, classes=1000, block_type='usual', class_detector_top=False): """ TODO """ # Determine proper input shape input_shape = _obtain_input_shape(input_shape, ...
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def find_python_str(): """find python executable in PATH""" paths = os.environ["PATH"].split(os.pathsep) python_name = "python.exe" if os.name == "nt" else "python?" for path in paths: yield from ( os.path.normpath(path) for path in glob.glob("%s/%s" % (path, python_name)) )
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def dispatch_tensorflowjs_to_keras_h5_conversion(config_json_path, h5_path): """Converts a Keras Model from tensorflowjs format to H5. Args: config_json_path: Path to the JSON file that includes the model's topology and weights manifest, in tensorflowjs format. h5_path: Path for the to-be-created Ker...
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def correct_doi(file_name: str): """Attempt extract a DOI from a filename which contains a DOI.""" if file_name.startswith("acs.jced") or file_name.startswith("je"): doi = f"10.1021/{file_name}" elif file_name.startswith("j.jct"): doi = f"10.1016/{file_name}" elif file_name.startswith("...
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def test_one_supplier_one_lot(mock_data_client): """Test a single client in a single lot.""" mock_data_client.get_framework.return_value = { 'frameworks': {'lots': [{'slug': 'saas'}]} } mock_data_client.find_framework_suppliers.return_value = { 'supplierFrameworks': [ {'suppl...
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def getTextFromFile(filename): """ """ filepath = os.path.join(CHAPTERDIR, filename) txt = open(filepath).read() return txt
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def decode_base64(data): """Decode base64, padding being optional. :param data: Base64 data as an ASCII byte string :returns: The decoded byte string. """ if sys.version_info.major > 2: data = bytes(data, 'utf-8') missing_padding = len(data) % 4 if missing_padding != 0: dat...
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def version(): """Display full version information.""" # Print out the current version of Tower CLI. click.echo('Tower CLI %s' % __version__) # Print out the current API version of the current code base. click.echo('API %s' % CUR_API_VERSION) # Attempt to connect to the Ansible Tower server. ...
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def create_multi_dataset_generic_benchmark( train_datasets: Sequence[SupportedDataset], test_datasets: Sequence[SupportedDataset], *, other_streams_datasets: Dict[str, Sequence[SupportedDataset]] = None, complete_test_set_only: bool = False, train_transform=None, train_ta...
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def check_triangle_inequality(method, h1, h2, h3): """ Classic test for a metric: dist(a,b) < dist(a,b) + dist(a,c)""" d12 = method(h1, h2) d23 = method(h2, h3) d13 = method(h1, h3) d13_plus_d23 = np.round(d13 + d23, decimals=10) d12_ = np.round(d12, decimals=10) assert d12_ <= d13_plus_d2...
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def convert_to_xml_string(string): """ For input strings with escaped tags and special characters issue a set of conversion functions to prepare it prior to adding it to an article object """ string = entity_to_unicode(string) string = decode_brackets(string) string = eautils.replace_tag...
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def read_shear_catalog_type(stage): """ Determine the type of shear catalog a stage is using as input. Returns a string, e.g. metacal, lensfit. Also sets shear_catalog_type in the stage's configuration so that it is available later and is saved in output. """ with stage.open_input('shear_cat...
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def inverse_fft_iterative( poly: Sequence, has_imaginary: bool = False, imag_threshold: float = 1e-14 ) -> List: """Perform inverse iterative discrete fast Fourier transform (DFT) of a polynomial with a degree that is `2^t-1`, t being a positive integer (ie `len(poly)` should be an exact power of 2). I...
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def admin_uri(): """ Helper fucntion to get the admin url quickly :returns: admin url, redirect or print friendly :rtype: string """ return '/' + app.global_content['options']['admin-url'].value
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def rlencode(x, check = True, dropna = False): """ Run length encoding. Based on http://stackoverflow.com/a/32681075, which is based on the rle function from R. See https://gist.github.com/nvictus/66627b580c13068589957d6ab0919e66 Parameters ---------- x : 1D array_like Input array to encode dropna: bool, op...
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def config_load(config_path): """Load a json config from a file.""" return files.json_load(config_path)
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def tz2utc(date, tz): """Offset between local time and UTC. Parameters ---------- date : various The local time, in any format acceptable to `date2time`. tz : string date will be processed via `pytz`. Returns ------- offset : datetime.timedelta The UTC offset. ""...
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def replace_from_execution_report(replace_id, execution_report): """Create OrderCancelReplaceRequest from given execution report For more info about OrderCancelReplaceRequest look at https://support.xena.exchange/support/solutions/articles/44000222082-ws-trading-api#order_cancel_replace_request """ cmd...
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def test_simple_method_ptr(tmp_path, template_path): """Write out a very simple top level class with a method. Args: tmp_path ([type]): [description] """ classes = [ class_info( "xAOD.Jets", "xAOD::Jets", [ method_info( ...
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def convert_unit(value, factor, offset): """Return converted value depending on the provided factor and offset.""" return num2decimal(value) * num2decimal(factor) + num2decimal(offset)
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def label_panels(axes, labels=None, **kwargs): """Label the 1-D array of axes with uppercase letters from the Latin alphabet.""" if labels: seq = labels else: seq = string.ascii_uppercase for ax, letter in zip(axes, seq): _label_panel(ax, letter, **kwargs)
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def DefinePanelZoneNodes(MasterNodeID: int, MidPanelZoneWidth, MidPanelZoneHeight): """ Function that defines the remaining 10 nodes of a panel zone given the dimensions and the master node (top center one). ID convention for the panel zone: \n PZNodeID: 12 nodes: top right 1xy (master), 1xy1 top rig...
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def single_chromosome_graph_scatter( df, chromosome, chosen_template, marker_width, colors, font_size, xaxis_gridlines, yaxis_gridlines, font_family, samples, ): """ Filter out current chromosome and set x- and y-max""" curr_chrom_data = df[df["Chromosome"] == chromosome]...
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def _findall_rmaps_using_reference(filename, observatory="hst"): """Return the basename of all reference mappings which mention `filename`.""" return uses_files([filename], observatory, "rmap")
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def batchGD_bp(X, y, d=3, nH=10, c=3, lr=0.8, T=100, eps=0.0): """ BP算法, 每轮迭代使用全部样本 :param X: 训练样本的特征矩阵 :param y: 训练样本的标签向量 :param d: 训练样本的特征维数 :param nH: 隐层的节点数 :param c: 类别数 :param lr: 学习率 :param T: 停机条件1(最大迭代轮数) :param eps: 停机条件2(相邻两次迭代loss之差的最大允许值), 设为0.0表示不使用这个条件 :return...
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def delete_host_by_id(host_id): """ Host deleting This is intended for use in adcm_delete_host ansible plugin only """ host = Host.obj.get(id=host_id) delete_host(host)
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def run_ase_opt( atoms: Atoms, fmax: float = 0.01, max_steps: int = 100, optimizer: str = "FIRE", opt_kwargs: Dict[str, Any] = None, scratch_dir: str = SETTINGS.SCRATCH_DIR, gzip: bool = SETTINGS.GZIP_FILES, copy_files: List[str] = None, ) -> trajectory: """ Run an ASE-based opti...
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def __slicer(my_str, sub): """ Remove everything in a string before a specified substring is found. Throw exception if substring is not found in string https://stackoverflow.com/questions/33141595/how-can-i-remove-everything-in-a-string-until-a-characters-are-seen-in-python Args: m...
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def test_delete_no_oid(): """Test DELETE api without index, it should return response as "None".""" config = CORTXS3Config() response = CORTXS3ObjectApi(config).delete(None, "test_layot_id2", "test_pvid_str") if (response is not None): assert response[0] is False assert response[1] is No...
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def rank_genes_groups_heatmap( adata: AnnData, groups: Union[str, Sequence[str]] = None, n_genes: int = 10, groupby: Optional[str] = None, key: str = None, show: Optional[bool] = None, save: Optional[bool] = None, **kwds, ): """\ Plot ranking of genes using heatmap plot (see :fun...
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def load_nii(src_path, as_array=False, as_numpy=False): """ Load a brain from a nifti file :param str src_path: The path to the nifty file on the filesystem :param bool as_array: Whether to convert the brain to a numpy array of keep it as nifty object :param bool as_numpy: Whether to conver...
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def case34_3ph(): """ Create the IEEE 34 bus from IEEE PES Test Feeders: "https://site.ieee.org/pes-testfeeders/resources/”. OUTPUT: **net** - The pandapower format network. """ net = pp.create_empty_network() # Linedata # CF-300 line_data = {'c_nf_per_km': 3.82...
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def create_sales_invoice(order_dict, order, site_id_order, msgprint_log, changes): """ Create a Sales Invoice from the eBay order. """ updated_db = False # Don't create SINV from incomplete order if (order['OrderStatus'] != 'Completed' or order['CheckoutStat...
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def calc_ext_str_features(id2bedrow_dic, chr_len_dic, out_str, args, check_seqs_dic=False, stats_dic=None, tr_regions=False, tr_seqs_dic=False): """ Calculate structure features (str...
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def test_filtrate_is_a_callable(): """Verify if 'filtrate' is a callable.""" assert callable(filtrate)
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def generate_daily_stats(): """ Generates dummy daily stats for one year """ times = [1577836800 + (i * 86400) for i in range(0,366)] stats_arr = [[]] for time in times: vals = [uniform(0,100) for i in range(843)] stats_arr[0].append({ 'min': np.min(vals), ...
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def dump_file(filepath,filename, Variable): """ @Params: filename: filename inside the ./dumps folder for dumping Variable: Variable to dump inside the file @Returns: None """ with open(filepath +'/'+filename+'.pickle','wb') as handle: pickle.dump(Variable,handle,protocol=pickle.HIGHEST_PROTOCOL)
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def create_mask(imsize: tuple, bbox: tuple) -> Image: """ Args: imsize: (w, h) bboxes: (x0, y0, x1, y1) """ mask = Image.new("L", imsize) draw = ImageDraw.Draw(mask) draw.rectangle(bbox, fill=255) return mask
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def send_template_email( recipient_list: list, subject: str, template: str, template_context: dict, from_email: str = None, plain_context: dict = None, html_context: dict = None, language: str = 'nl', ) -> None: """ Light wrapper for Django's send_...
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def phone_number_validator(value, region=settings.KOMPASSI_PHONENUMBERS_DEFAULT_REGION): """ Validate the phone number using Google's phonenumbers library. """ exc = _('Invalid phone number.') try: phone_number = phonenumbers.parse(value, region) except phonenumbers.NumberParseException...
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def request_change_template_picture(update, context): """ Args: update (telegram.Update) context (telegram.ext.CallbackContext) """ reg_user = get_reg_user(update.effective_user, update.effective_chat) markup = ReplyKeyboardMarkup( [ [CANCEL_MARKUP] ], res...
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def build_resolved_spec(api, spec_lookup, cache, force_build, spec, version, ecosystem_hash): """Builds a resolved spec at a specific version, then uploads it. Args: * api - The ThirdPartyPackagesNGApi's `self.m` module collection. * spec_lookup ((package_name, platform) -> Resolved...
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def test_resource_delta(loop): """Test if the controller correctly calculates the delta between ``last_applied_manifest`` and ``last_observed_manifest`` State (0): The application possesses a last_applied_manifest which specifies a Deployment, a Service and a ConfigMap. The application has...
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