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def point_in_ellipse(point: Vector, center: Vector, angle: float, length: float, width: float) -> bool: """ Check if a point is inside an ellipse :param point: a point :param center: ellipse center :param angle: ellipse main axis angle :param length: ellipse big axis :param width: ellipse s...
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def __getDeviceByUDN(deviceElements, udn): """Search and return the device element defined by the UDN from the listDevices elements""" for device_element in deviceElements: if device_element.getAttribute("udn") == udn: return device_element
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import re def on_app_mention(js): """ Processes an `app_mention` event from Slack. Full event structure for the "happy path," i.e. someone mentioning the bot directly in a channel that it already exists in. { "token": "ZZZZZZWSxiZZZ2yIvs3peJ", "team_id": "T061EG9R6", ...
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def parse_url(url: str) -> SFTPUrl: """Parse and validate url.""" if not url.startswith("sftp://"): url = "sftp://" + url parts = urlparse(url) if parts.scheme != "sftp": raise ValueError("Invalid url: scheme must be 'sftp'.") if not parts.hostname: raise ValueError("Invalid ...
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def get_location_coordinates(siteid, roomid): """ Given a site and room, returns the co-ordinates of this location. :param siteid: :type siteid: str :param roomid: :type roomid: str :raise Location.DoesNotExist: If the site can not be found :returns: latitude and longitude, or None,No...
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from typing import Dict def replacement_map_from_symbol_table( old: SymbolTable, new: SymbolTable, prefix: str) -> Dict[SymbolNode, SymbolNode]: """Create a new-to-old object identity map by comparing two symbol table revisions. Both symbol tables must refer to revisions of the same module id. The sy...
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from typing import Union from typing import Optional import numpy import torch def si_sdr_pit_loss( est: Union[np.ndarray, pt.Tensor], ref: Union[np.ndarray, pt.Tensor], zero_mean: Optional[bool] = False, clamp_db: Optional[float] = None, ) -> Union[np.ndarray, pt.Tensor]: """ Computes the neg...
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def get_file_content_safe(path): """ Checks if the file on location 'path' exists, and if it does it returns each line of text in the file as a list of strings. If not, the function runs an ERR_CODE_NON_EXISTING_FILE error. Arguments: path: path to file Returns: List of lines o...
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def add2DChain(parent, name, positions, normal, negate=False, vis=True): """Create a 2D joint chain. Like Softimage 2D chain. Warning: This function will create un expected results if all the positions are not in the same 2D plane. Arguments: parent (dagNode): The parent for the ch...
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import pytz from datetime import datetime import time def get_response(service_call, method, **kwargs): """Returns response from youtube service and handles API rate limit by sleeping until API is available again. Example ------- service.playlistItems().list(**kwargs) can be retrieved as >>...
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from requests_cache import CachedSession def ensure_requests_session(config): """Build the singleton requests.Session (or subclass) """ session_attr = "check_links_requests_session" if not hasattr(config.option, session_attr): if config.option.check_links_cache: conf_kwargs = geta...
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def createTable(c): """This makes a table Keyword arguments: c -- the cursor object of the connected database """ try: c.execute(""" CREATE TABLE IF NOT EXISTS members ( username TEXT, password TEXT ); """) except: print("Error") ...
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def stratified_cross_fold_knn(table, num_folds, k, class_index): """ Uses knn and stratified cross folding to predict labels :param table: a table of data :param num_folds: the number of folds to calculate :param k: the number of nearest nieghbors :param class_index: the index where the class label...
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import time from os.path import expanduser import zipfile import os def zip(i): """ Input: { data_uoa - repo UOA (archive_path) - if '' create inside repo path (archive_name) - if !='' use it for zip name (auto_name) - if 'yes', generate name...
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from datetime import datetime from dateutil import tz def time_ago(time=False): """ Get a datetime object or a int() Epoch timestamp and return a pretty string like 'an hour ago', 'Yesterday', '3 months ago', 'just now', etc Modified from: http://stackoverflow.com/a/1551394/141084 """ now ...
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import os def link_to_frontend(): """ The backend expects a link to a directory called frontend at the same level. Attempt to create one if it does not exist. """ backend_path = os.path.dirname(os.path.realpath(__file__)) link_path = backend_path + '/frontend' frontend_path = backend_path....
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import _omniidl def relativeScope(fromScope, destScope): """relativeScope(fromScope, destScope) -> list Given two globally-scoped names, return a minimal scoped name list which identifies the destination scope, without clashing with another identifier. For example, given IDL: module M { typedef short A; ...
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import math def k_0(nu, n, B, q=q_e, m=m_e): """ Coefficient ``k_0`` in absorption coefficient. :param nu: Frequency of radiation [Hz]. :param n: Concentration [cm ** (-3)] :param B: Magnetic field [G] :param q (optional): Particle's charge. Default is ``q_e``. ...
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def rogerstanimoto(u, v): """ Finds the Rogers-Tanimoto dissimilarity between two 1-D bool arrays. .. math:: \\frac{ 2 \cdot \left(c_{TF} + c_{FT}\\right) } { c_{TT} + 2 \cdot \left(c_{TF} + c_{FT}\\right) + c_{FF} } where :math:`c_{XY} = \sum_{i} \delta_{u_{i} X} \delta_{v_{i} Y}...
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import re def checkLine(text): """ :param text: :return: >>> checkLine('1-3 a: abcde') True >>> checkLine('1-3 b: cdefg') False """ m = re.match(r'(\d*)-(\d*)\s([a-z]):\s(\w+)', text) low, high, letter, password = m.group(1, 2, 3, 4) # print(low, high, letter, password) occurencies = len(re.findall(let...
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def badFormatting(s, charSet): """Tells if a character from charSet appears in a string s.""" for c in charSet: if c in s: return True return False
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def add_cp_analysis(): """Submit files for static analysis Files within zip archives will be submited separately. This endpoint should be called only after files have been uploaded via :http:post:`/cp/1.0/samples`. Also accepts :http:method:`put`. **Example request**: .. sourcecode:: http ...
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def Hamiltonian_from_file(file_name): """Creates a matrix operator out of a file with a list of Paulis. Args: file_name : a text file containing a list of Paulis and coefficients. Returns: A matrix representing pauli_list """ with open(file_name, 'r+') as file: h...
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def column_to_width(df_in, column, width): """Pad the column header and the values in the column with whitespace to a specific width. """ df = df_in.copy() df[column] = df[column].apply(lambda x: ('{:>' + str(width) + '}').format(x)) df = df.rename(columns={column: ('{:>' + str(width) + '}').f...
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def view_proxy(request, promo_id, hash): """Track a view of a promotion and redirect to the image.""" promo = get_object_or_404(SupporterPromo, pk=promo_id) if not promo.image: raise Http404('No image defined for this promo.') count = cache.get(promo.cache_key(type=VIEWS, hash=hash), None) i...
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def use_netrc(netrc, urls, patterns): """compute an auth dict from a parsed netrc file and a list of URLs Args: netrc: a netrc file already parsed to a dict, e.g., as obtained from read_netrc urls: a list of URLs. patterns: optional dict of url to authorization patterns Returns: ...
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def str_cutoff(string: str, max_length: int, cut_tail: bool = False) -> str: """ Abbreviate a string to a given length. The resulting string will carry an indicator if it's abbreviated, like ``stri#``. Parameters ---------- string : str String which is to be cut. max_length : i...
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def bresenham(p0, p1, array=None): """ Line drawing in a grid :param p0: initial point :type p0: array_like(2) of int :param p1: end point :type p1: array_like(2) of int :return: arrays of x and y coordinates for points along the line :rtype: ndarray(N), ndarray(N) of int Return x ...
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from typing import List def observations_from_data(experiment: Experiment, data: Data) -> List[Observation]: """Convert Data to observations. Converts a Data object to a list of Observation objects. Pulls arm parameters from from experiment. Overrides fidelity parameters in the arm with those found in th...
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def is_over(board): """Returns True if the game is over, False if not""" for player in range(2): for move_x in range(board.height): for move_y in range(board.width): list_near_points = [] #list of the number of the player payns in each direction starting from the last one beg...
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def wireless(card, mode=None, apn=None): """Retrieve wireless modem info or customize modem behavior. Args: card (Notecard): The current Notecard object. mode (string): The wireless module mode to set. apn (string): Access Point Name (APN) when using an external SIM. Returns: ...
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def filter_none(x): """ Recursively removes key, value pairs or items that is None. """ if isinstance(x, dict): return {k: filter_none(v) for k, v in x.items() if v is not None} elif isinstance(x, list): return [filter_none(i) for i in x if x is not None] else: return x
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def get_task_mapping(task: str) -> str: """ Map the task in problem_doc to the task types that are currently supported Parameters ---------- task: str The task type in problem_doc Returns ------- str One of task types that are supported """ mapping = { ...
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def _dmet_orb_list(mol, atom_list): """Rearrange the orbital label Args: mol (pyscf.gto.Mole): The molecule to simulate. atom_list (list): Atom list for IAO assignment (int). Returns: newlist (list): The orbital list in new order (int). """ newlist = [] for i in range(m...
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from typing import Iterable from typing import Optional from typing import Sequence from typing import Tuple def _determine_domain_pairs_to_check(all_domains: Iterable[Domain], domains_changed: Optional[Iterable[Domain]], constraint: Constraint...
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def _post_processing(metric_map: dict[str, float]) -> dict[str, float]: """ unit conversion etc... time: taskTime, executorDeserializeTime, executorRunTime, jvmGcTime are milliseconds executorDeserializeCpuTime, executorCpuTime are nanoseconds """ metric_map["executorDeserializeCpuTime"] = ...
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def decryptData(key, data, mode=AESModeOfOperation.ModeOfOperation["CBC"]): """ Module function to decrypt the given data with the given key. @param key: key to be used for decryption @param data: data to be decrypted with initialization vector prepended @param mode: mode of operations ...
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from typing import Sequence from typing import Any def get_batches(task_family: tasks_base.TaskFamily, batch_shape: Sequence[int], train_and_meta: bool = False, numpy: bool = False, split: str = "train") -> Any: """Get batches of data with the `batch_s...
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import re def wildcard_to_regex(wildcard): """ Converts a * syntax into a parsed regular expression Maya wildcard validation: 1. Maya does not support '-' characters so we change those characters by '_' 2. Maya uses | as separators, so we scape them 3. We need to replace any '*' i...
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def plot_concentration_comparison( posterior: Dataset, conc: pd.DataFrame ) -> Figure: """Compare physiological concentrations with kms.""" biology_cols = [ "Organism", "ECNumber", "UniprotID", "parameter.associatedSpecies", ] conc_mean = pd.Series( pd.Series(...
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def make_il8n_image_carousel_column(number, action): """ Create a multilingual image carousel column object. reference - https://developers.worksmobile.com/jp/document/100500809?lang=en - Check also: attendance_management_bot/model/data.py::make_image_carousel_column """ i18n_im...
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import math def math_sqrt(number): """ Math.sqrt, according to Copilot """ global test_num test_num += 1 return math.sqrt(number)
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from typing import Dict import multiprocessing import tqdm def preprocess_papers_parallel(papers_dict: Dict, n_jobs: int, preprocess: bool) -> Dict: """ helper function to preprocess papers Parameters ---------- papers_dict: Dict the papers dictionary n_jobs: int how many cpus...
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def build_generation_graph(cell, out_weights, out_biases, previous_state, in_data, temperature): """ Build one step lstm graph used in generation. """ state = [] # Reformat previous state to fit tensorflow requirements. for i in range(previous_state.shape[0]): state.ap...
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def create_ecs_task(cluster_arn_or_name, task_definition, region=DEFAULT_REGION): """ Create an ECS task with EC2 launch type in given cluster. Wait till the task gets into RUNNING state :param cluster_arn_or_name: :param task_definition: :param region: :return: task_arn if task gets into RU...
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from bs4 import BeautifulSoup import requests def get_soup(url: str) -> BeautifulSoup: """Get an instance of BeautifulSoup for a specific url""" response = requests.get(url) if response.status_code != requests.codes.ok: print(f"url request error: response.status_code is {response.status_code}") ...
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def producto_matrices(matriz_A, matriz_B): """ (list of list, list of list) -> list of list Realiza el producto de matrices >>> producto_matrices([[1,2], [3, 4]],[[1,2], [3, 4]]) [[7, 10], [15, 22]] :param matriz_A: :param matriz_B: :return: list of list la matriz A * B """ r...
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def quaternion_upper_hemispher(q): """ The quaternion q and −q represent the same rotation be- cause a rotation of θ in the direction v is equivalent to a rotation of 2π − θ in the direction −v. One way to force uniqueness of rotations is to require staying in the “upper half” of S 3 . For examp...
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import os def get_virtual_env(): """Return location of virtual environment :return: """ for root, dir_names, file_names in os.walk(BASE_DIR): if all([i in dir_names for i in ['bin', 'include', 'lib']]): return os.path.join(BASE_DIR, root)
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from typing import List def sieve_of_eratosthenes(upper_bound: int) -> List[Prime]: """ Creates a Sieve of Eratosthenes from 0 to upper_bound params: upper_bound: Upper-Bound for the sieve return: Ordered list of all primes less than upper_bound """ # Assume everything is pr...
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import os import fnmatch def showpage(request): """Main Chips Files Display""" site_name = GlobalConfig.get().site_name # search all File Servers for a "Chips" directory fileservers = FileServer.objects.all() files = {} locList = [] for server in fileservers: directory = os.path.j...
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def times_to_lags(T): """(N x n_step) matrix of times -> (N x n_step) matrix of lags. First time is assumed to be zero. """ assert T.ndim == 2, "T must be an (N x n_step) matrix" return np.c_[np.diff(T, axis=1), np.zeros(T.shape[0])]
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def atcab_write_zone(zone, slot, block, offset, data, length): """ Executes the Write command, which writes either 4 or 32 bytes of data into a device zone. Args: zone Device zone to write to (0=config, 1=OTP, 2=data). (int) slot If writing to the data zone, it...
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def eexp(db, hb, rhop, mp): """ Calculates the overall void fraction of the expanded bed. Parameters ---------- db : float Diameter of the bed [m] hb : float Height of the expanded bed [m] rhop : float Mass density of the solids [kg/m^3] mp : float Mass o...
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def attendant_allowed(function): """ allows access for attendants only """ @wraps(function) @jwt_required def wrapper(*args, **kwargs): """wrapper for the function""" verify_jwt_in_request() claims = get_jwt_identity() if type(claims) == dict: if clai...
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def dataarray_to_matrix(grid): """ Transform a xarray.DataArray into a data 2D array and metadata. Use this to extract the underlying numpy array of data and the region and increment for the grid. Only allows grids with two dimensions and constant grid spacing (GMT doesn't allow variable grid ...
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def is_lock_expired( end_state: NettingChannelEndState, lock: HashTimeLockState, block_number: BlockNumber, lock_expiration_threshold: BlockNumber, ) -> SuccessOrError: """ Determine whether a lock has expired. The lock has expired if both: - The secret was not register...
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def infer_from_pdf(pdf_path, model=None, window_len=None): """Extract features from a PDF and run infrence on it.""" if not model: model, window_len = load_model() if not window_len: raise Exception("No window_len param provided or inferrable") doc = extract_doc(pdf_path, window_len) ...
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def get_genre_by_id(genre_id): """ Returns genre name from moviedb API given genre id """ # get movie genres movie_genres_url = f'/genre/movie/list?api_key={MOVIEDB_API_KEY}' movie_genres_data = get_moviedb_data(movie_genres_url) # get tv genres tv_genres_url = f'/genre/tv/list?api_key={MOVIEDB_API_KEY...
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def get_unique_node(name, node_type, meta_type): """ Gets or creates a NodeHandle with the provided name. Returns the NodeHandles node. """ name = normalize_whitespace(name) node_handle = utils.get_unique_node_handle(name, node_type, meta_type) node = node_handle.get_node() return node
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def get_leaf_artists(root_artist, matchfunc): """Return all the leaf artists. which Args: root_artist: Artist. matchfunc: callable: artist -> bool. Return: All the decendant Artists matched with `matchfunc`. Note ---- As you might notice, this class is similar to `...
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def str_to_numlist(s, bound): """ Returns a sequence of integers between 0 and bound-1 that encodes the string s. Randomization is included, so the same string is very likely to encode differently each time this function is called. Input: s -- a string bound -- an integer >...
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def intersect(hrect, r2, centroid): """ checks if the hyperrectangle hrect intersects with the hypersphere defined by centroid and r2 """ maxval = hrect[1, :] minval = hrect[0, :] p = centroid.copy() idx = p < minval p[idx] = minval[idx] idx = p > maxval p[idx] = maxval[idx] ...
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def extract_value_at_points2d(points: tf.Tensor, value_map: tf.Tensor, denormalize: bool = True) -> tf.Tensor: """Extracts value at given points from value_map (e.g., SDF map). Args: points: [batch_size, num_point, 2] tensor, (x, y) coordinates of poi...
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from typing import Mapping from typing import List def _ExtractRemoteGraphOutput( # pylint: disable=invalid-name pcoll: beam.pvalue.PCollection, parent_remote_op_name: str, child_remote_op_name: str, remote_op_name_to_graph_name: Mapping[str, str], graph_name_to_specs: Mapping[str, List[execution...
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def ISTORE_name(context, name): """Generate the opcode to store a variable with the given name. This looks up the local variable dictionary to find which register is being used for that variable, using the optimized register operations for the first 4 local variables. """ try: index = c...
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def normalize(text): """ Normalize whitespace for a string of html using tidy. """ return str(tidy.parseString(text.encode('utf-8', 'xmlcharrefreplace'), drop_empty_paras=0, fix_backslash=0, fix_bad_comm...
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from datetime import datetime def setup_pv_system(month, hour_of_day): """ This method is just basic setup """ offset = 0 when = [datetime(2020, month, 15, hour_of_day, 0, 0, tzinfo=timezone(td(hours=offset)))] time = pd.DatetimeIndex(when) sandia_modules = pvlib.pvsy...
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from pathlib import Path import logging def compress(file: Path, output_dir: Path, remove_original=True) -> None: """Replaces the original file with a compressed version""" logging.info("Compressing {}".format(file)) compressed_file = output_dir.joinpath(file.stem).with_suffix(file.suffix + ".zst") cc...
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import re def remove_trailing_commas(json_like): """ Removes trailing commas from `json_like` and returns the result. Examples -------- >>> remove_trailing_commas('{"foo":"bar","baz":["blah",],}') '{"foo":"bar","baz":["blah"]}' """ trailing_object_commas_re = re.compile( r'(,...
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def is_method_of(method, obj): """Return True if *method* is a method of *obj*. *method* should be a method on a class instance; *obj* should be an instance of a class. """ # Check for both 'im_self' (Python < 3.0) and '__self__' (Python >= 3.0). cls = obj.__class__ mainObj = getattr(method...
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def edit_savings_entry(savings_entry_id): """ Edit savings entry """ entry = SavingsEntry.query.get(savings_entry_id) savings_form = SavingsForm(obj=entry) if savings_form.validate_on_submit(): entry.savings_date = savings_form.savings_date.data entry.transaction_type = savings_form.tr...
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def generator_proportion_eia923(g, id_col='plant_id_eia'): """ Generate a dataframe with the proportion of generation for each generator. Args: g (pandas.DataFrame): a dataframe from either all of generation_eia923 or some subset of records from generation_eia923. The dataframe ...
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def copy(source_username, source_path, target_username, target_path, name=None): """Copy a user file into target_path dir.""" f = open(source_username, source_path) return save(target_username, target_path, f, name=name)
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from typing import Counter def parse_sample_sheet_into_idat_datasets(sample_sheet, sample_name=None, from_s3=None, meta_only=False, np=1): """Generates a collection of IdatDatasets from samples in a sample sheet. Arguments: sample_sheet {SampleSheet} -- The SampleSheet from which the data originates....
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def build_minimum_permissions(config): """Build the minimum permissions required to operate.""" email_sensors = config.get(CONF_EMAIL_SENSORS, []) query_sensors = config.get(CONF_QUERY_SENSORS, []) status_sensors = config.get(CONF_STATUS_SENSORS, []) minimum_permissions = [PERM_MINIMUM_USER, PERM_MI...
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def nanwrapper(f, x): """numpy freaks out if you pass an empty arrays to many of its functions (like min or max). This wrapper just returns a nan in that case. """ if len(x) == 0: return np.nan else: return f(x)
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def backend(name='jax'): """Returns the backend used to provide fastmath ops ('tf' or 'jax').""" if override_backend: return _get_backend_from_string(override_backend) if default_backend: return _get_backend_from_string(default_backend) if isinstance(name, Backend): return _backend_dict[name] #...
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import ast def correlation_calculations(whole_graph, ds_le, raw_data): """ Function to calculate correlations of l_e with dA, edge betweenness, product of node weights and product of node strengths. Parameters: raw_data: pandas edgelist dataframe, with columns seller id, buyer id total value...
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def make_continious_dataframe(movies_df): """Transform rating data with continuous user and movies ids Input dataframe: Takes in a pandas dataframe Output it returns 1. movie_ids: Mapping of original movie id to continious column 2. num_movies: Total number of movies ...
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def within_error(flag_name: str, key_name: str, within_list: list): """ :param flag_name: :param key_name: :param within_list: :return: """ if key_name not in within_list: logger.error(f"<ScaffoldBuild> Wrong input parameter: --{flag_name}=`{key_name}` @ " f"Thi...
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import os def make_fig_save_dirs(save_dir_root, pdf=False): """Create directories for saving figures in svg and png formats Args: save_dir_root (string): root directory for saving figures Returns: dir_svg (string): valid directory dir_png (string): valid directory ...
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import os def get_workflow_config_path(repo): """Returns the full path for the git workflow config file.""" return os.path.join(repo.git_dir, 'config_workflow')
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def get_cauldron_module(): """ Returns the cauldron module loaded from the import library, or None if the Cauldron module could not be loaded. """ try: return import_module('cauldron') except Exception: return None
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import os def preprocess_module(module_path): """The function compiles a module in shellpy to a python module, walking through all the shellpy files inside of the module and compiling all of them to python :param module_path: The path of module :return: The path of processed module """ for it...
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def callback(func): """ A decorator to add a keyword arg 'callback' to execute a method on the return value of a function Used to add callbacks to the API calls :param func: The function to decorate :return: The wrapped function """ def wrap(*args, **kwargs): callback_ = kwargs.po...
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def _cluster_measure(group): """Measure the distance between all points in a group from the centroid. :param group: the group of points all belonging to the same cluster. :returns: float -- mean value of the group. """ points = group[[0, 1]] centroid = points.sum() / group.size distances = ...
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from typing import ItemsView from typing import Tuple from typing import Dict from typing import Any def _instancecheck_items_view(items_view: ItemsView, type_args: Tuple, type_vars: Dict[TypeVar_, Any]) -> bool: """ >>> from typing import Any, Optional >>> _instancecheck_items_view({0: 1, 1: 2, 2...
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def remove_dups_stringlist(str): """Remove duplicates from list as string""" arr = str.split(',') arr = list(dict.fromkeys(arr)) return ','.join(arr)
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def get_lr_opt_global_step(): """Intializes learning rate, optimizer and global step.""" optimizer = get_optimizer(CONFIG.OPTIMIZER, CONFIG.OPTIMIZER.LR.INITIAL_LR) global_step = optimizer.iterations learning_rate = optimizer.learning_rate return learning_rate, optimizer, global_step
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from typing import Tuple def _get_image_format( ctx: cl.Context, num_channels: int, dtype: np.dtype, ndim: int, mode: str = "rw" ) -> Tuple[cl.ImageFormat, bool]: """Maximize chance of finding a supported image format for the current device. Parameters ---------- ctx : cl.Context The Cont...
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def skewDiagram(sequence): """Draw the skew diagram (#G - #C) for dna.""" skew = 0 skewList = [] for nt in sequence: if nt == 'C': skew -= 1 elif nt == 'G': skew += 1 skewList.append(skew) plt.plot(range(len(sequence)), skewList) plt.xlabel('Pos...
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def _get_instance_masks_and_boxes_np(instance_img): """Get instance level ground truth. Note: instance_img is expected to consist of regular ids, not trainIds. Returns: masks: (m, h, w) numpy array boxes: (m, 5), [[x1, y1, x2, y2], ...] classes: (m,) list of class names """ all_i...
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def scoreMatrix(ai): """ Returns (rowNames, columnNames, S) where: - S is a matrix where S_{ij} represents the score delta of mutation j against read i - rowNames[i] is an identifier name for the the read i---presently we use the the row number within the cmp.h5, encoded as a st...
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def is_sorted(items: t.Sequence[int]) -> bool: """Check if all items are in sorted order.""" for i in range(1, len(items)): if items[i-1] > items[i]: return False return True
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import torch def dice_loss_norm(input, target): """ input is a torch variable of size BatchxnclassesxHxW representing log probabilities for each class target is a 1-hot representation of the groundtruth, should have same size as the input """ assert input.size() == target.size(), "Input sizes must...
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def create_app(env_name): """Create app Keyword arguments: env_name -- enviroment ('development or production') """ # app init app = Flask(__name__) app.config.from_object(app_config[env_name]) app.register_blueprint(camera_blueprint, url_prefix='/api/v1/camera') #registering camera api app.confi...
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import typing import socket def encode_address(addr: StrOrBytes) -> typing.Tuple[AddressType, bytes]: """Determines the type of address and encodes it into the format SOCKS expects""" addr = addr.decode() if isinstance(addr, bytes) else addr try: return AddressType.IPV6, socket.inet_pton(socket.AF...
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import os def files_in_current_dir(dir_name): """list all files in a dir. Args: dir_name (str): path to a dir Returns: list: files in a dir. """ return [os.path.abspath(os.path.join(dir_name, x)) for x in os.listdir(dir_name) if os.path.isfile(os.path.absp...
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def calc_transparent_hline_length(surface, x, max_x, y): """Walks given horizontal line and counts transparent pixels in a row""" length = 0 surface.lock() (r, g, b, a) = surface.get_at((x, y)) while a < TRANSPARENCY_THRESHOLD: length += 1 x += 1 if x > max_x: bre...
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