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def create_work_subdirs(subdirs: List[str]): """Create |subdirs| in work directory.""" for subdir in subdirs: os.mkdir(os.path.join(experiment_utils.get_work_dir(), subdir))
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def test_from_rsid(rsids, start_rsid): """Continue collecting publications for rsids in list, beginning with start_rsid Args: rsids (list): list of rsids to collect publications on start_rsid (str): rsid identifier to resume collecting publications on Returns: runtime_rsids (list):...
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def _average_scada(times, values, nvalues): """ Function which down samples scada values. :param times: Unix times of the data points. :param values: Corresponding sensor value :param nvalues: Number of samples we average over. :return: new time values and """ if len(times) % nvalues: ...
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def main(): """ Test harness """ def game_factory(): """ Creates the game we need """ return Maze(Layout.from_string(Layout.MEDIUM_STR)) bot_factory = PlannedBot trainer = BotTrainer(game_factory, bot_factory, 16, 2, goal_score=13) start_time = time() gen...
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def behavior_of(classname): """ Finds and loads the behavior class for C++ (decoded) classname or returns None if there isn't one. Behaviors do not have a required base class, and they may be used with Awkward Array's ``ak.behavior``. The search strategy for finding behavior classes is: 1...
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def test_feed_from_annotations_with_3_annotations(): """If there are 3 annotations it should return 3 entries.""" annotations = [factories.Annotation(), factories.Annotation(), factories.Annotation()] feed = rss.feed_from_annotations( annotations, _annotation_url(), mock.Mock(), ...
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def _abs_user_path(fpath): """don't overload the ap type""" return os.path.abspath(os.path.expanduser(fpath))
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def save_tmp(config): """Save the configuration to a temp file. The global state of ReachMaster is tracked with a temp file. Whenever a child window of the main application is created or destroyed, the temp file is updated to reflect whatever changes in settings may have occurred. If the user ...
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def adjust(data): """Calculate mean of list of values and subtract the mean of every element in the list, making a new list. Returns tuple of mean, list of adjusted values """ mu = mean(data) return mu, map(lambda x: (x-mu), data)
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def clear(): """ Clears the world, and then returns the cleared representation """ myWorld.clear() return jsonify(myWorld.world())
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def handle_evap_mode(j,brivis_status): """Parse evap part of JSON.""" # pylint: disable=too-many-branches,too-many-statements cfg = get_attribute(j[1].get("ECOM"),"CFG",None) if not cfg: # Probably an error _LOGGER.error("No CFG - Not happy, Jan") else: if y_n_to_bool(get_a...
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def _create_terminal_writer_factory(output: Optional[TextIO]): """ A factory method for creating a `create_terminal_writer` function. :param output: The receiver of all original pytest output. """ def _create_terminal_writer(config: Config, _file: Optional[TextIO] = None) -> TerminalWriter: ...
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def filter( f: typing.Callable, stage: Stage = pypeln_utils.UNDEFINED, workers: int = 1, maxsize: int = 0, timeout: float = 0, on_start: typing.Callable = None, on_done: typing.Callable = None, ) -> Stage: """ Creates a stage that filter the data given a predicate function `f`. exact...
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def function_factory(model, loss, dataset): """A factory to create a function required by tfp.optimizer.lbfgs_minimize. Args: model [in]: an instance of `tf.keras.Model` or its subclasses. loss [in]: a function with signature loss_value = loss(pred_y, true_y). train_x [in]: the input pa...
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def main(): """Main script function. """ # arguments parser = ArgumentParser( prog='multi-ear-uart', description=('Sensorboard serial readout with data storage' 'in a local influx database.'), ) parser.add_argument( '-i', '--ini', metavar='..', type=...
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def nn_CPRAND(tensor,rank,n_samples,n_samples_err,factors=None,exact_err=False,it_max=100,err_it_max=20,tol=1e-7,list_factors=False,time_rec=False): """ Add argument n_samples_err CPRAND for CP-decomposition in non negative case, with err_rand return also exact error Parameters ---------- ten...
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def parametrize_application_yml(argvalues, ids): """ Define parameters for testable application definition. Args: argvalues (list): Parametrize args values ids (list): Parametrize ID """ from accelpy._application import Application with scandir(dirname(realpath(__file__))) as e...
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def get_base_url(host_name, customer_id): """ :arg host_name: the host name of the IDNow gateway server :arg customer_id: your customer id :returns the base url of the IDNow API and the selected customer """ return 'https://{0}/api/v1/{1}'.format(host_name, customer_id)
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def sample_category(user, **params): """Create and return a sample category""" defaults = { 'name': 'Sample category', 'persian_title': 'persian', 'parent_category': None } defaults.update(params) return Category.objects.create(user=user, **defaults)
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def lindbladian_average_infid_set( propagators: dict, instructions: Dict[str, Instruction], index, dims, n_eval ): """ Mean average fidelity over all gates in propagators. Parameters ---------- propagators : dict Contains unitary representations of the gates, identified by a key. in...
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def edit(request, course_id): """ Teacher form for editing a course """ course = get_object_or_404(Course, id=course_id) courseForm = CourseForm(request.POST or None, instance=course) if request.method == 'POST': # Form was submitted if courseForm.is_valid(): courseForm.sa...
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def _build_ontology_embedded_list(): """ Helper function intended to be used to create the embedded list for ontology. All types should implement a function like this going forward. """ synonym_terms_embed = DependencyEmbedder.embed_defaults_for_type(base_path='synonym_terms', ...
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def remap_expn_sample_names(expn): """ Super-specific method to remap the sample names. """ names = expn.getConditionNames() new_names = [] for n in names: if n in sample_description: new_names.append(sample_description[n]) else: new_names.append('?%s' % n...
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def interp1d(x,y,xi,axis=None,extrap=True): """ Args: x (uniformly sampled vector/array): sampled x values y (array): sampled y values xi (array): x values to interpolate onto axis (int): axis along which to interpolate. extrap (bool): if True, use linear extrapolation ba...
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def _back_operate( servicer, callback, work_pool, transmission_pool, utility_pool, termination_action, ticket, default_timeout, maximum_timeout): """Constructs objects necessary for back-side operation management. Also begins back-side operation by feeding the first received ticket into the constructed _...
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def runICA(fslDir, inFile, outDir, melDirIn, mask, dim, TR, seed=None): """ This function runs MELODIC and merges the mixture modeled thresholded ICs into a single 4D nifti file Parameters --------------------------------------------------------------------------------- fslDir: Full path of the bin-directory of F...
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def load_train_val_data( data_dir: str, batch_size: int, training_fraction: float) -> Tuple[DataLoader, DataLoader]: """ Returns two DataLoader objects that wrap training and validation data. Training and validation data are extracted from the full original training data, split according...
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def match(input_string, start_node): """匹配字符串 input_string :: 需要配备的字符串 start_node :: NFA起始节点 return :: True | False """ # 初始化运行状态的状态集合: 起始节点+空转移能到达的节点 current_state_set = [start_node] next_state_set = closure(current_state_set) # 循环读入字符生成状态集合 for i, ch in enumerate(inp...
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def _H_to_h(H): """Converts CIECAM02/CAM02-UCS hue composition (H) to raw hue angle (h).""" x0 = H % 400 * 360 / 400 h, _, _ = fmin_l_bfgs_b(lambda x: abs(h_to_H(x) - H), x0, approx_grad=True) return h % 360
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def filter_df_merge(cpu_df, filter_column=None): """ process cpu data frame, merge by 'model_name', 'batch_size' Args: cpu_df ([type]): [description] """ if not filter_column: raise Exception( "please assign filter_column for filter_df_merge function") df_lists = [] ...
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def MRP2Euler121(q): """ MRP2Euler121(Q) E = MRP2Euler121(Q) translates the MRP vector Q into the (1-2-1) euler angle vector E. """ return EP2Euler121(MRP2EP(q))
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def nlayer(depth=64): """Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet """ model = NLayer_D(depth=depth) return model
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def get_dataset(config): """Downloads the dataset if it is not yet available and unzips it""" datasets = { "CVE-2014-0160": "https://www.exploids.de/lid-ds-downloads/LID-DS-Recordings-01/CVE-2014-0160.tar.gz", "PHP_CWE-434": "https://www.exploids.de/lid-ds-downloads/LID-DS-Recordings-01/PHP_CWE...
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def deserialize( value: ElementTree.Element, cipher: PSCryptoProvider, **kwargs: typing.Any, ) -> typing.Optional[typing.Union[bool, PSObject]]: """Deserialize CLIXML to a Python object. Deserializes a CLIXML XML Element from .NET to a Python object. Args: value: The CLIXML XML Element...
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def is_url_ok(url: str) -> bool: """Check if the given URL is down.""" try: r = requests.get(url) return r.status_code == 200 except Exception: return False
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def calculate_pair_energy_np(coordinates, i_particle, box_length, cutoff): """ Calculate interaction energy of particle w/ its environment (all other particles in sys) Parameters ---------------- coordinates : list the coordinates for all particles in sys i_particle : int pa...
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def lwhere(mappings, **cond): """Selects mappings containing all pairs in cond.""" return list(where(mappings, **cond))
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def get_number(message, limit=4): """ convert Chinese to pinyin and extract useful numbers attention: 1. only for integer 2. before apply this method, the message should be preprocessed input: message: the message you want to extract numbers from. limit: limit the lengt...
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def get_db_connection(path, timeout=30, okay_to_create=False): """ Returns a properly configured SQLite database connection. :param path: path to DB :param timeout: timeout for connection :param okay_to_create: if True, create the DB if it doesn't exist :returns: DB connection object """ ...
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def calc_merkle_root(trie: Trie): """private method that builds the merkle-trie and calculates root_hash""" txs = trie.transactions.copy() # if there is only one tx the trie is not valid, hence we need to add an # empty root if len(txs) == 1: txs.append(stringutil.empty_root) # do until...
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def create_connection(db_file): """ Creates a database connection to the SQLite database specified by the db_file :param db_file: database file :return: Connection object or None """ conn = None try: conn = sqlite3.connect(db_file) except Error as e: print...
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def convex_hull(poly): """ ratio of the convex hull area to the area of the shape itself Altman's A_3 measure, from Neimi et al 1991. """ chull = to_shapely_geom(poly).convex_hull return poly.area / chull.area
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def create_scifact_annotations( claims, corpus, tokenizer, class_to_id: Dict[str, int], neutral_class: str ) -> List[SciFactAnnotation]: """Create a SciFactAnnotation for each claim - evidence/cited document pair.""" def get_abstract_and_encoding( doc_id, ) -> Tuple[List[List[str]], List[torch....
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def predict_test_results(Test_data, Results_path, cph, col_names,SN=1,penalizer=[], var_thresh=[],CI=[]): """ :param Test_file_path: :param Results_path: :param cph: :param col_names: :param SN: :param penalizer: :param var_thresh: :return: Tot_test_pred, Y_...
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def epsilon(tagfile): """Compute the total epsilon factor for each event Compute the flatfield correction from the P-flat and L-flat reference files (PFLTFILE and LFLTFILE respectively). Parameters ---------- tagfile, str input STIS time-tag data file Returns ------- epsil...
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def contact(update: Update, context: CallbackContext) -> None: """ /contact command """ update.message.reply_text( static_text.contact_command, parse_mode=ParseMode.HTML, disable_web_page_preview=True, )
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async def test_no_scopes(): """The credential should raise ValueError when get_token is called with no scopes""" credential = VSCodeCredential() with pytest.raises(ValueError): await credential.get_token()
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def sort_by_value(front, values): """ This function sorts the front list according to the values :param front: List of indexes of elements in the value :param values: List of values. Can be longer than the front list :return: """ copied_values = values.copy() # Copy so we can modify it sorted_list = [] ...
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def save_exposure(fitstbl, frame, spectrograph, science_path, par, caliBrate, all_spec2d, all_specobjs): """ Save the outputs from extraction for a given exposure Args: frame (:obj:`int`): 0-indexed row in the metadata table with the frame that has been reduced. all_...
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def test_day_detail_view(init_feasible_db, client): """Test day detail view.""" client.login(username="temporary", password="temporary") day = Day.objects.get(number=1) response = client.get(reverse("day_detail", kwargs={"pk": day.id})) assert response.status_code == 200 assert "Day: 1" in respo...
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def get_cell_area(self, indices=[]): """Return the area of the cells on the outer surface. Parameters ---------- self : MeshVTK a MeshVTK object indices : list list of the points to extract (optional) Returns ------- areas: ndarray Area of the cells """ ...
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def _to_dataarray(origins, sources, values): """ Converts grid_search inputs to DataArray """ origin_dims = ('origin_idx',) origin_coords = [np.arange(len(origins))] origin_shape = (len(origins),) source_dims = sources.dims source_coords = sources.coords source_shape = sources.shape ...
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def package(metadata: Metadata, requirements: Optional[List[str]] = None, path: Optional[str] = None): """Packages the chatbot into a single archive for deployment. Performs some preliminary checks on the metadata. Creates a _package.zip file in the directory containing the file that contains the bot class...
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def warp_grid(grid: tf.Tensor, theta: tf.Tensor) -> tf.Tensor: """ Perform transformation on the grid. - grid_padded[i,j,k,:] = [i j k 1] - grid_warped[b,i,j,k,p] = sum_over_q (grid_padded[i,j,k,q] * theta[b,q,p]) :param grid: shape = (dim1, dim2, dim3, 3), grid[i,j,k,:] = [i j k] :param theta...
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def droid_visualization(video, device="cuda:0"): """ DROID visualization frontend """ torch.cuda.set_device(device) droid_visualization.video = video droid_visualization.cameras = {} droid_visualization.points = {} droid_visualization.warmup = 8 droid_visualization.scale = 1.0 droid_vis...
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async def makenotifyrole(guild): """Make the notify role in the given guild. :type guild: discord.Guild :rtype: None | discord.Role :param guild: Guild instance to create the role in. :return: The created role, possibly None if the creation failed. """ userrole = None try: # The...
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def mape(forecast: Forecast, target: Target) -> np.ndarray: """ Calculate MAPE. This method accepts one or many timeseries. For multiple timeseries pass matrix (N, M) where N is number of timeseries and M is number of time steps. :param forecast: Predicted values. :param target: Target values. ...
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def reverse_weighted_graph(graph): """ Function for reverting direction of the graph (weights still the same) Args: graph: graph representation as Example: {1: {2: 1, 3: 5}, 2: {3: 2}, 4: {1: 2}} Returns: reversed graph Examples: >>> reverse_weighted_graph({1: {2: 1, 3: 5}...
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def set_logger(log_path, level=logging.INFO, console=True): """Sets the logger to log info in terminal and file `log_path`. In general, it is useful to have a logger so that every output to the terminal is saved in a permanent file. Here we save it to `model_dir/train.log`. Example: ``` loggin...
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def test_asset_file_meta_source(): """Test ht.inline.api.asset_file_meta_source.""" target = "Scanned Asset Library Directories" path = hou.text.expandString("$HH/otls/OPlibSop.hda") assert ht.inline.api.asset_file_meta_source(path) == target assert ht.inline.api.asset_file_meta_source("/some/fak...
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def make_output_dir(out_filename): """ Makes the directory to output the file to if it doesn't exist. """ # check if output is to cwd, or is a path dirname = os.path.dirname(out_filename) if dirname != '' and not os.path.exists(dirname): try: os.makedirs(os.path.dirname(out_...
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def clean_bin(): """permanently deletes entries - crud delete""" mongo.db.bin.remove() mongo.db.bin.insert({'_id': ObjectId()}) return redirect(url_for('get_bin', data_requested="teams"))
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def correct_by_threshold(img, threshold): """ correct the fMRI RSA results by threshold Parameters ---------- img : array A 3-D array of the fMRI RSA results. The shape of img should be [nx, ny, nz]. nx, ny, nz represent the shape of the fMRI-img. threshold : int The nu...
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def config_date(dut, date): """ :param dut: :param date: :return: """ st.log("config date") command = "date --set='{}'".format(date) st.config(dut, command) return True
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def test_verify_email( api_rf, email_confirmation_factory, email_factory, user_factory ): """ Sending a POST request with valid data to the endpoint should mark the associated email address as verified. """ user = user_factory(password="password") email = email_factory(user=user) confirm...
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def read_dicom(): """Read in DICOM series""" dicomPath = join(expanduser('~'), 'Documents', 'SlicerDICOMDatabase', 'TCIALocal', '0', 'images', '') reader = sitk.ImageSeriesReader() seriesIDread = reader.GetGDCMSeriesIDs(dicomPath)[1] dicomFilenames = reader.GetGDCMSeriesFileNam...
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def test_7(): """ Detect the date columns in austin_weather.csv Here 2 date columns are present with different formats. """ table = pandas.read_csv('data_for_tests/table_7.csv') result = date_detection.detect(table) print(result) expected_result = '''{'date': {'type': <ColumnTypes.CONSIN...
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def read_file(*file_paths): """Read text file.""" with codecs.open(os.path.join(ROOT_DIR, *file_paths), 'r') as fp: return fp.read()
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def load_config(): """Load the config file and validate contents.""" filename = os.path.join(user_config_dir("timetagger_cli"), config_fname) if not os.path.isfile(filename): raise RuntimeError("Config not set, run 'timetagger setup' first.") with open(filename, "rb") as f: config = tom...
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def zfs_upgrade_list(supported: bool = False) -> str: """ zfs upgrade [-v] Displays a list of file systems that are not the most recent version. -v Displays ZFS filesystem versions supported by the current software. The current ZFS filesystem version and all previous supported ve...
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def main(): """ CLI Interface for developing civ plugins """ pass
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def L_model_backward(AL, Y, caches): """ 完成L层神经网络模型后向传播计算 Arguments: AL -- 模型输出值 Y -- 真实值 caches -- 包含Relu和Sigmoid激活函数的linear_activation_forward()中每一个cache Returns: grads -- 包含所有梯度的字典 grads["dA" + str(l)] = ... grads["dW" + str(l)] = ... grads["db...
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def findbps(reads, output, bowtie_options, motif, length, threshold, strand): """ Input: reads: str of name of file where single-end, stranded RNA-seq reads in fastq format are located output:str of desired basename of output files bowtie_options: str of bowtie options you wish to ...
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def Cnot(idx0: int = 0, idx1: int = 1) -> Operator: """Controlled Not between idx0 and idx1, controlled by |1>.""" return ControlledU(idx0, idx1, PauliX())
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def test_get_df_database_input_value(): """ Check input value""" try: data_compile.get_df_database(1) raise Exception() except ValueError: pass
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def init_sql_references(conn): """ Utility function to get references from SQL. The returned objects conveniently identify users based on kb_name or user hashkey """ # get kb_names to kb_id kb_ref = pds.read_sql("""SELECT id, kb_name, directory_id FROM dbo.kb_raw""", conn) get_kb_dir_id = ...
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def inoptimal_truncation_square_root(A, B, C, k, check_stability=False): """Use scipy to perform balanced truncation Use scipy to perform balanced truncation on a linear state-space system. This method is the natural application of scipy and inoptimal performance wise compared to `truncation_square_roo...
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def _tessellate_bed(chrom: str, chromStart: int, chromEnd: int, window_size: int) -> pd.DataFrame: """Return tessellated pandas dataframe splitting given window. Parameters ----------------------- chrom: str, Chromosome containing given window. chromStart: int, Position where the wi...
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def _replace_variables(dictionary): """Replace environment variables in a nested dict.""" for path in _walk(dictionary): value = path.pop() if isinstance(value, str) and _ispath(value): value = os.path.expandvars(value) value = pathlib.Path(value) last_key = path.pop() sub_dict = diction...
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def compute_locksroot(locks: PendingLocksState) -> Locksroot: """Compute the hash representing all pending locks The hash is submitted in TokenNetwork.settleChannel() call. """ return Locksroot(keccak(b"".join(locks.locks)))
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def refresh_interface(self): """ Refresh the Frelatage CLI """ # Title title = "Frelatage {version} ({function_name})".format( version=__version__, function_name=self.method.__name__ ).center(105) # Execs per second current_second = int(time.time()) if current_second != self...
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def flatten(text: Union[str, List[str]], separator: str = None) -> str: """ Flattens the text item to a string. If the input is a string, that same string is returned. Otherwise, the text is joined together with the separator. Parameters ---------- text : Union[str, List[str]] The t...
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def convert_byte32_arr_to_hex_arr(byte32_arr): """ This function takes in an array of byte32 strings and returns an array of hex strings. Parameters: byte32_arr Strings to convert from a byte32 array to a hex array """ hex_ids = [] for byte32_str in byte32_arr: hex_ids...
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def process_ring(cat, ref, pairs, ringpairs, area, radius, sigma, sigma_init=None, gamma=None, niter=10, nextr=100, mid=True, printprogress=True, printerror=False): """ Estimate omega with robust algorithm in rings. Obtain optimal estimate from best ring. Internal function to process pairs that are ...
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def backtest_loop( start_time: Union[pd.Timestamp, str], end_time: Union[pd.Timestamp, str], trade_strategy: BaseStrategy, trade_executor: BaseExecutor, ) -> Tuple[PortfolioMetrics, Indicator]: """backtest function for the interaction of the outermost strategy and executor in the nested decision exe...
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def test_assert_sets_equal(test_case: SetsEqualTestCase): """ GraphHelper.sets_equals and related functions work correctly in both positive and negative cases. """ lhs_graph: Graph = Graph().parse(data=test_case.lhs, format=test_case.lhs_format) rhs_graph: Graph = Graph().parse(data=test_case.rh...
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def failOnNonTransient(func): """Only allow function execution when immutable is transient.""" @functools.wraps(func) def wrapper(inst, *args, **kwargs): # make the call fail if the object is not transient if inst.__im_state__ != interfaces.IM_STATE_TRANSIENT: raise AttributeErr...
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def text_has_emoji(text): """判断文本中是否包含emoji""" for character in text: if character in emoji.UNICODE_EMOJI: return True return False
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def rod_faces(n1, n2, xform, dim1, dim2): # validated """ defines points in a circle with triangle based end caps """ # 4,8,12,16,... becomes 5,9,13,17,... thetas = np.radians(np.linspace(0., 360., 17)) ntheta = len(thetas) nfaces = 0 all_faces = [] points_list = [] x = np.zeros...
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def xfork(): """ xfork() is similar to fork but doesn't throw an OSError exception. Returns -1 on error, otherwise it returns the same value as fork() does. """ try: ret = fork() except OSError: ret = -1 return ret
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def cigar_segment_bounds(cigar, start): """ Determine the start and end positions on a chromosome of a non-no-matching part of an RNA-seq read based on a read's cigar string. cigar string meaning: http://bioinformatics.cvr.ac.uk/blog/tag/cigar-string/ Example: '50M25N50M' with start = 100 ...
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def augument(data_dir, img_path, steering_angle, range_x=100, range_y=10): """ Generate an augumented image and adjust steering angle. (The steering angle is associated with the image) """ image, steering_angle = choose_image(data_dir, img_path, steering_angle) image, steering_angle = random_fli...
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def ldns_buffer_limit(*args): """LDNS buffer.""" return _ldns.ldns_buffer_limit(*args)
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def language(): """ Loads languages. :return: None """ if os.path.isfile(omw_db): omw_connection = sqlite3.connect(omw_db) cursor = omw_connection.cursor() known = dict() cursor.execute("""SELECT id, iso639 from lang""") for (lid, l3) in cursor: ...
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def test_data_folder(): """ This fixture returns path to folder with shared test resources among all tests """ data_dir = os.path.join(script_dir, "testdata") if not os.path.exists(data_dir): os.mkdir(data_dir) files_to_download = ["https://raw.githubusercontent.com/opencv/opencv/4....
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def _call_godot(environment, source, arguments, target): """Runs the Godot executable with the specified command line arguments @param environment Environment in which the Godot executable will be run @param source Input files that will be involved @param arguments Arguments that will be p...
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def random_seeded(func): """ Decorator that uses the `random_seed` parameter from functions to seed the RNG. """ @wraps(func) def wrapper(*args, random_seed: int = None, **kwargs): _RNG.seed(random_seed) return func(*args, **kwargs) return wrapper
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def getCRS(station_name=None, crs=None, autoCreate=True): """ Method to get CRS code for the give station name. This method may not scale nicely for a production environment. Use a proper DB instead. @param station_name: Some characters for the station name. @param crs: CRS code if known @p...
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def _initialize_object_from_dict(object_dict, parent=None): """Initialize a python object from dict.""" provider = object_dict['provider'] args = object_dict.get('args') or [] kwargs = object_dict.get('kwargs') or {} obj = _get_object_by_referance(provider) if parent is not None: kwarg...
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def from_hdf(in_path, index=None, keypoints=True, descriptors=True): """ For a given node, load the keypoints and descriptors from a hdf5 file. The keypoints and descriptors kwargs support returning only keypoints or descriptors. The index kwarg supports returning a subset of the data. Parameters ...
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