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from typing import Tuple def get_byte_range_bounds(byte_range_str: str, total_size: int) -> Tuple[int, int]: """Return the start and end byte of a byte range string.""" byte_range_str = byte_range_str.replace("bytes=", "") segments = byte_range_str.split("-") start_byte = int(segments[0]) # chrome...
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def privmsg(recipient, s, prefix='', msg=None): """Returns a PRIVMSG to recipient with the message msg.""" if conf.supybot.protocols.irc.strictRfc(): assert (areReceivers(recipient)), repr(recipient) assert s, 's must not be empty.' if minisix.PY2 and isinstance(s, unicode): s = s.en...
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def char_decoding(value): """ Decode from 'UTF-8' string to unicode. :param value: :return: """ if isinstance(value, bytes): return value.decode('utf-8') # return directly if unicode or exc happens. return value
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def inv2(x: np.ndarray) -> np.ndarray: """矩阵求逆""" # np.matrix()废弃 return np.matrix(x).I
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def clean_remaining_artifacts(image): """ Method still on development. Use at own risk! Remove remaining artifacts from image :param image: Path to Image or 3D Matrix representing RGB image :return: Image """ img, *_ = __image__(image) blur = cv2.GaussianBlur(img, (3, 3), 0) # conve...
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def max_simple_dividers(a): """ :param a: число от 1 до 1000 :return: самый большой простой делитель числа """ return max(simple_dividers(a))
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def to_light_low_sat(img, new_dims, new_scale, interp_order=1 ): """ Turn an image into lightness Args: im : (H x W x K) ndarray new_dims : (height, width) tuple of new dimensions. new_scale : (min, max) tuple of new scale. interp_order : interpolation order, de...
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def get_slug_blacklist(lang=None, variant=None): """ Returns a list of KA slugs to skip when creating the channel. Combines the "global" slug blacklist that applies for all channels, and additional customization for specific languages or curriculum variants. """ SLUG_BLACKLIST = GLOBAL_SLUG_BLAC...
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def get_level_rise(station): """For a MonitoringStation object (station), returns a the rate of water level rise, specifically the average value over the last 2 days""" #Fetch data (if no data available, return None) times, values = fetch_measure_levels(station.measure_id, timedelta(days=2)) #O...
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def get_mask_indices(path): """Helper function to get raster mask for NYC Returns: list: returns list of tuples (row, column) that represent area of interest """ raster = tiff_to_array(path) indices = [] it = np.nditer(raster, flags=['multi_index']) while not it.finished: if i...
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def about(isin:str): """ Get company description. Parameters ---------- isin : str Desired company ISIN. ISIN must be of type EQUITY or BOND, see instrument_information() -> instrumentTypeKey Returns ------- TYPE Dict with description. """ params = {'isin': is...
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def aesEncrypt(message): """ Encrypts a message with a fresh key using AES-GCM. Returns: (key, ciphertext) """ key = get_random_bytes(symmetricKeySizeBytes) cipher = AES.new(key, AES.MODE_GCM) ctext, tag = cipher.encrypt_and_digest(message) # Concatenate (nonce, tag, ctext) and return ...
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def getType(o): """There could be only return o.__class__.__name__""" if isinstance(o, LispObj): return o.type return o.__class__.__name__
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def failed_revisions_for_case_study( case_study: CaseStudy, result_file_type: MetaReport ) -> tp.List[str]: """ Computes all revisions of this case study that have failed. Args: case_study: to work on result_file_type: report type of the result files Returns: a list of fail...
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def bytes_load(path): """Load bytest from a file.""" with open(path, 'rb') as f: return f.read()
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def get_relationship_length_fam_mean(data): """Calculate mean length of relationship for families DataDef 43 Arguments: data - data frames to fulfill definiton id Modifies: Nothing Returns: added_members mean_relationship_length - mean relationship length of families """ families...
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def convert_hapmap(input_dataframe, recode=False, index_col=0): """ Specifically deals with hapmap and 23anMe Output """ complement = {'G/T': 'C/A', 'C/T': 'G/A', "G/A" : "G/A", "C/A": "C/A", "A/G" : "A/G", "A/C": "A/C"} dataframe = input_dataframe.copy() if recode: recode = data...
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def to_base64(message): """ Returns the base64 representation of a string or bytes. """ return b64encode(to_bytes(message)).decode('ascii')
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import traceback def create_alerts(): """ Function to create alerts. """ try: # validate post json data content = request.json print(content) if not content: raise ValueError("Empty value") if not 'timestamp' in content or not 'camera_id' in content or not 'c...
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import numpy def load_catalog_npy(catalog_path): """ Load a numpy catalog (extension ".npy") @param catalog_path: str @return record array """ return numpy.load(catalog_path)
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def pgd(fname, n_gg=20, n_mm=20, n_kk=20, n_scale=1001): """ :param fname: data file name :param n_gg: outer iterations :param n_mm: intermediate iterations :param n_kk: inner iterations :param n_scale: number of discretized points, arbitrary :return: """ n_buses, Qmax, Qmin, Y, V_...
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def find_first_empty(rect): """ Scan a rectangle and find first open square @param {Array} rect Board layout (rectangle) @return {tuple} x & y coordinates of the leftmost top blank square """ return _find_first_empty_wrapped(len(rect[0]))(rect)
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import re def parseArticle(text: str) -> str: """ Parses and filters an article. It uses the `wikitextparser` and custom logic. """ # clear the image attachments and links text = re.sub("\[\[Податотека:.+\]\][ \n]", '', text) text = wikipedia.filtering.clearCurlyBrackets(text) # repl...
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import torch def exp2(input, *args, **kwargs): """ Computes the base two exponential function of ``input``. Examples:: >>> import torch >>> import treetensor.torch as ttorch >>> ttorch.exp2(ttorch.tensor([-4.0, -1.0, 0, 2.0, 4.8, 8.0])) tensor([6.2500e-02, 5.0000e-01, 1.0...
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def list_default_storage_policy_of_datastore( datastore, host=None, vcenter=None, username=None, password=None, protocol=None, port=None, verify_ssl=True, ): """ Returns a list of datastores assign the storage policies. datastore Name of the datastore to assign. ...
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import numpy def action_stats(env, md_action, cont_action): """ Get information on `env`'s action space. Parameters ---------- md_action : bool Whether the `env`'s action space is multidimensional. cont_action : bool Whether the `env`'s action space is continuous. Returns ------- n_actions_per_dim : list of len...
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def count(pred: Pred, seq: Seq) -> int: """ Count the number of occurrences in which predicate is true. """ pred = to_callable(pred) return sum(1 for x in seq if pred(x))
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def lambda_k(W, Z, k): """Coulomb function $\lambda_k$ as per Behrens et al. :param W: Total electron energy in units of its rest mass :param Z: Proton number of daughter :param k: absolute value of kappa """ #return 1. gammak = np.sqrt(k**2.0-(ALPHA*Z)**2.0) gamma1 = np.sqrt(1.-(ALPHA...
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import pprint import json def tryJsonOrPlain(text): """Return json formatted, if possible. Otherwise just return.""" try: return pprint.pformat( json.loads( text ), indent=1 ) except: return text
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import aiohttp import websockets import random def create_signaling(args): """ Create a signaling method based on command-line arguments. """ if args.signaling == "apprtc": if aiohttp is None or websockets is None: # pragma: no cover raise Exception("Please install aiohttp and web...
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def get_corpus_gene_adjacency(corpus_id): """Generate a nugget table.""" corpus = get_corpus(corpus_id) data = get_gene_adjacency(corpus) return jsonify(data), 200
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def get_pool_health(pool): """ Get ZFS list info. """ pool_name = pool.split()[0] pool_capacity = pool.split()[6] pool_health = pool.split()[9] return pool_name, pool_capacity, pool_health
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def resize_short(img, target_size): """ resize_short """ percent = float(target_size) / min(img.shape[0], img.shape[1]) resized_width = int(round(img.shape[1] * percent)) resized_height = int(round(img.shape[0] * percent)) resized_width = normwidth(resized_width) resized_height = normwidth(resi...
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def _scale(aesthetic, name=None, breaks=None, labels=None, limits=None, expand=None, na_value=None, guide=None, trans=None, **other): """ Create a scale (discrete or continuous) :param aesthetic The name of the aesthetic that this scale works with :param name The name of the ...
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def logsubexp(x, y): """ Helper function to compute the exponential of a difference between two numbers Computes: ``x + np.log1p(-np.exp(y-x))`` Parameters ---------- x, y : float or array_like Inputs """ if np.any(x < y): raise RuntimeError('cannot take log of nega...
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def is_sequence_of_list(items): """Verify that the sequence contains only items of type list. Parameters ---------- items : sequence The items. Returns ------- bool True if all items in the sequence are of type list. False otherwise. Examples -------- >...
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def sum_fib_dp(m, n): """ A dynamic programming version. """ if m > n: m, n = n, m large, small = 1, 0 # a running sum for Fibbo m ~ n + 1 running = 0 # dynamically update the two variables for i in range(n): large, small = large + small, large # note that (i + 1)...
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def fibo_dyn2(n): """ return the n-th fibonacci number """ if n < 2: return 1 else: a, b = 1, 1 for _ in range(1,n): a, b = b, a+b return b
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import time import math def build_all(box, request_list): """ box is [handle, left, top, bottom] \n request_list is the array about dic \n ****** Attention before running the function, you should be index. After build_all, function will close the windows about train tr...
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def select_results(results): """Select relevant images from results Selects most recent image for location, and results with positive fit index. """ # Select results with positive bestFitIndex results = [x for x in results['items'] if x['bestFitIndex'] > 0] # counter_dict schema: # counter...
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def dc_session(virtual_smoothie_env, monkeypatch): """ Mock session manager for deck calibation """ ses = endpoints.SessionManager() monkeypatch.setattr(endpoints, 'session', ses) return ses
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def is_available(_cache={}): """Return version tuple and None if OmnisciDB server is accessible or recent enough. Otherwise return None and the reason about unavailability. """ if not _cache: omnisci = next(global_omnisci_singleton) try: version = omnisci.version ...
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import copy def pitch_info_from_pitch_string(pitch_str: str) -> PitchInfo: """ Parse a pitch string representation. E.g. C#4, A#5, Gb8 """ parts = tuple((c for c in pitch_str)) size = len(parts) pitch_class = register = accidental = None if size == 1: (pitch_class,) = parts e...
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def determine_word_type(tag): """ Determines the word type by checking the tag returned by the nltk.pos_tag(arr[str]) function. Each word in the array is marked with a special tag which can be used to find the correct type of a word. A selection is given in the dictionaries. Args: tag : String tag from the nltk...
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def get_normalized_map_from_google(normalization_type, connection=None, n_header_lines=0): """ get normalized voci or titoli mapping from gdoc spreadsheets :param: normalization_type (t|v) :param: connection - (optional) a connection to the google account (singleton) :param: n_header_lines - (optio...
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import io def parse_file(fname, is_true=True): """Parse file to get labels.""" labels = [] with io.open(fname, "r", encoding="utf-8", errors="igore") as fin: for line in fin: label = line.strip().split()[0] if is_true: assert label[:9] == "__label__" ...
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def make_mesh(object_name, object_colour=(0.25, 0.25, 0.25, 1.0), collection="Collection"): """ Create a mesh then return the object reference and the mesh object :param object_name: Name of the object :type object_name: str :param object_colour: RGBA colour of the object, defaults to a shade of g...
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import optparse def _OptionParser(): """Returns the options parser for run-bisect-perf-regression.py.""" usage = ('%prog [options] [-- chromium-options]\n' 'Used by a try bot to run the bisection script using the parameters' ' provided in the auto_bisect/bisect.cfg file.') parser = optpars...
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def calc_radiance(wavel, Temp): """ Calculate the blackbody radiance Parameters ---------- wavel: float or array wavelength (meters) Temp: float temperature (K) Returns ------- Llambda: float or arr monochromatic radiance (W/m^2/m/sr) ...
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def _JMS_to_Fierz_III_IV_V(C, qqqq): """From JMS to 4-quark Fierz basis for Classes III, IV and V. `qqqq` should be of the form 'sbuc', 'sdcc', 'ucuu' etc.""" #case dduu classIII = ['sbuc', 'sbcu', 'dbuc', 'dbcu', 'dsuc', 'dscu'] classVdduu = ['sbuu' , 'dbuu', 'dsuu', 'sbcc' , 'dbcc', 'dscc'] if...
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from typing import Any def get_parsed_args() -> Any: """Return Porcupine's arguments as returned by :func:`argparse.parse_args`.""" assert _parsed_args is not None return _parsed_args
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def get_license_description(license_code): """ Gets the description of the given license code. For example, license code '1002' results in 'Accessory Garage' :param license_code: The license code :return: The license description """ global _cached_license_desc return _cached_license_desc[lic...
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import pickle import getpass def db_keys_unlock(passphrase) -> bool: """Unlock secret key with pass phrase""" global _secretkeyfile try: with open(_secretkeyfile, "rb") as f: secretkey = pickle.load(f) if not secretkey["locked"]: print("Secret key file is already u...
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def list_domains(): """ Return a list of the salt_id names of all available Vagrant VMs on this host without regard to the path where they are defined. CLI Example: .. code-block:: bash salt '*' vagrant.list_domains --log-level=info The log shows information about all known Vagrant e...
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def get_old_options(cli, image): """ Returns Dockerfile values for CMD and Entrypoint """ return { 'cmd': dockerapi.inspect_config(cli, image, 'Cmd'), 'entrypoint': dockerapi.inspect_config(cli, image, 'Entrypoint'), }
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def line_crops_and_labels(iam: IAM, split: str): """Load IAM line labels and regions, and load line image crops.""" crops = [] labels = [] for filename in iam.form_filenames: if not iam.split_by_id[filename.stem] == split: continue image = util.read_image_pil(filename) ...
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def convert(chinese): """converts Chinese numbers to int in: string out: string """ numbers = {'零':0, '一':1, '二':2, '三':3, '四':4, '五':5, '六':6, '七':7, '八':8, '九':9, '壹':1, '贰':2, '叁':3, '肆':4, '伍':5, '陆':6, '柒':7, '捌':8, '玖':9, '两':2, '廿':20, '卅':30, '卌':40, '虚':50, '圆':60, '近':70, '枯':80, '无':90} ...
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def computeZvector(idata, hue, control, features_to_eval): """ :param all_data: dataframe :return: """ all_data = idata.copy() numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64'] m_indexes = list(all_data[hue].unique().astype('str')) query_one = "" for el in contr...
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def getjflag(job): """Returns flag if job in finished state""" return 1 if job['jobstatus'] in ('finished', 'failed', 'cancelled', 'closed') else 0
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import copy def json_parse(ddict): """ https://github.com/arita37/mlmodels/blob/dev/mlmodels/dataset/test_json/test_functions.json https://github.com/arita37/mlmodels/blob/dev/mlmodels/dataset/json/benchmark_timeseries/gluonts_m5.json "deepar": { "model_pars": { "model_...
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def read_viz_icons(style='icomoon', fname='infinity.png'): """ Read specific icon from specific style Parameters ---------- style : str Current icon style. Default is icomoon. fname : str Filename of icon. This should be found in folder HOME/.dipy/style/. Default is infinity...
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def mock_config_entry() -> MockConfigEntry: """Return the default mocked config entry.""" return MockConfigEntry( title="12345", domain=DOMAIN, data={CONF_API_KEY: "tskey-MOCK", CONF_SYSTEM_ID: 12345}, unique_id="12345", )
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import datasets def get_mnist_loader(batch_size, train, perm=0., Nparts=1, part=0, seed=0, taskid=0, pre_processed=True, **loader_kwargs): """Builds and returns Dataloader for MNIST and SVHN dataset.""" transform = transforms.Compose([ transforms.Grayscale(), transform...
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def read_data(filename): """ Reads orbital map file into a list """ data = [] f = open(filename, 'r') for line in f: data += line.strip().split('\n') f.close() return data
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from typing import Union def _form_factor_pipi( self, s: Union[float, npt.NDArray[np.float64]], imode: int = 1 ) -> Union[complex, npt.NDArray[np.complex128]]: """ Compute the pi-pi-V form factor. Parameters ---------- s: Union[float,npt.NDArray[np.float64] Square of the center-of-mas...
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import re import click def string_to_epoch(s): """ Convert argument string to epoch if possible If argument looks like int + s,h,md (ie, 30d), we'll pass as-is since pushshift can accept this. Per docs, pushshift supports: Epoch value or Integer + "s,m,h,d" (i.e. 30d for 30 days) :param s: ...
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import array def spline_filter(Iin, lmbda=5.0): """Smoothing spline (cubic) filtering of a rank-2 array. Filter an input data set, `Iin`, using a (cubic) smoothing spline of fall-off `lmbda`. """ intype = Iin.dtype.char hcol = array([1.0,4.0,1.0],'f')/6.0 if intype in ['F','D']: I...
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def _construct_aline_collections(alines, dtix=None): """construct arbitrary line collections Parameters ---------- alines : sequence sequences of segments, which are sequences of lines, which are sequences of two or more points ( date[time], price ) or (x,y) date[time] may be ...
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def is_mergeable(*ts_or_tsn): """Check if all objects(FermionTensor or FermionTensorNetwork) are part of the same FermionSpace """ if isinstance(ts_or_tsn, (FermionTensor, FermionTensorNetwork)): return True fs_lst = [] site_lst = [] for obj in ts_or_tsn: if isinstance(obj...
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def query_for_account(account_rec, region): """ Performs the public ip query for the given account :param account: Account number to query :param session: Initial session :param region: Region to query :param ip_data: Initial list. Appended to and returned :return: update ip_data list """...
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from typing import List def filter_list_of_dicts(list_of_dicts: list, **filters) -> List[dict]: """Filter a list of dicts by any given key-value pair. Support simple logical operators like: '<,>,<=,>=,!'. Supports filtering by providing a list value i.e. openJobsCount=[0, 1, 2]. """ for key, val...
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def construct_pos_line(elem, coor, tags): """ Do the opposite of the parse_pos_line """ line = "{elem} {x:.10f} {y:.10f} {z:.10f} {tags}" return line.format(elem=elem, x=coor[0], y=coor[1], z=coor[2], tags=tags)
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def compute_pcs(predicts, labels, label_mapper, dataset): """ compute correctly predicted full spans. If cues and scopes are predicted jointly, convert cue labels to I/O labels depending on the annotation scheme for the considered dataset :param predicts: :param labels: :return: """ def ...
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def pentomino(): """ Main pentomino routine @return {string} solution as rectangles separated by a blank line """ return _stringify( _pent_wrapper1(tree_main_builder())(rect_gen_boards()))
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def do_login(request, username, password): """ Check credentials and log in """ if request.access.verify_user(username, password): request.response.headers.extend(remember(request, username)) return {"next": request.app_url()} else: return HTTPForbidden()
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from tokenize import Token import re def _interpolate(format1): """ Takes a format1 string and returns a list of 2-tuples of the form (boolean, string) where boolean says whether string should be evaled or not. from <http://lfw.org/python/Itpl.py> (public domain, Ka-Ping Yee) """ def ma...
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def approxIndex(iterable, item, threshold): """Same as the python index() function but with a threshold from wich values are considerated equal.""" for i, iterableItem in rev_enumerate(iterable): if abs(iterableItem - item) < threshold: return i return None
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import random def delete_important_words(word_list, replace=''): """ randomly detele an important word in the query or replace (not in QUERY_SMALL_CHANGE_SETS) """ # replace can be [MASK] important_word_list = set(word_list) - set(QUERY_SMALL_CHANGE_SETS) target = random.sample(important_w...
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import numpy as np def prot(vsini, st_rad): """ Function to convert stellar rotation velocity vsini in km/s to rotation period in days. Parameters: ---------- vsini: Rotation velocity of star in km/s. st_rad: Stellar radius in units of solar radii Returns ------ ...
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def dialog_sleep(): """Return the time to sleep as set by the --exopy-sleep option. """ return DIALOG_SLEEP
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def required_overtime (db, user, frm) : """ If required_overtime flag is set for overtime_period of dynamic user record at frm, we return the overtime_period belonging to this dyn user record. Otherwise return None. """ dyn = get_user_dynamic (db, user, frm) if dyn and dyn.overtime_perio...
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def get_best_fit_member(*args): """ get_best_fit_member(sptr, offset) -> member_t Get member that is most likely referenced by the specified offset. Useful for offsets > sizeof(struct). @param sptr (C++: const struc_t *) @param offset (C++: asize_t) """ return _ida_struct.get_best_fit_member(*arg...
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def convert_time(time): """Convert given time to srt format.""" stime = '%(hours)02d:%(minutes)02d:%(seconds)02d,%(milliseconds)03d' % \ {'hours': time / 3600, 'minutes': (time % 3600) / 60, 'seconds': time % 60, 'milliseconds': (time % 1) * 1000} return st...
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def Returns1(target_bitrate, result): """Score function that returns a constant value.""" # pylint: disable=W0613 return 1.0
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def test_abstract_guessing(): """Test abstract guessing property.""" class _CustomPsychometric(DiscriminationMethod): def psychometric_function(self, d): return 0.5 with pytest.raises(TypeError, match="abstract method"): _CustomPsychometric()
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import re def remove_repeats(msg): """ This function removes repeated characters from text. :param/return msg: String """ # twitter specific repeats msg = re.sub(r"(.)\1{2,}", r"\1\1\1", msg) # characters repeated 3 or more times # laughs msg = re.sub(r"(ja|Ja)(ja|Ja)+(j)?", r"jaja",...
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def _legend_main_get(project, row): """ forma la leyenda de la serie principal del gráfico input project: es el tag project del proyecto seleccionado en fichero XYplus_parameters.f_xml -en XYplus_main.py- row: es fila activa devuelta por select_master) de donde se ex...
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def ordinal_mapper(fh, coords, idmap, fmt=None, n=1000000, th=0.8, prefix=False): """Read an alignment file and match reads and genes in an ordinal system. Parameters ---------- fh : file handle Alignment file to parse. coords : dict of list Gene coordinates table...
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def file_lines(filename): """ >>> file_lines('test/foo.txt') ['foo', 'bar'] """ return text_file(filename).split()
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def repr_should_be_defined(obj): """Checks the obj.__repr__() method is properly defined""" obj_repr = repr(obj) assert isinstance(obj_repr, str) assert obj_repr == obj.__repr__() assert obj_repr.startswith("<") assert obj_repr.endswith(">") return obj_repr
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def indexName(): """Index start page.""" return render_template('index.html')
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def translate_http_code(): """Print given code :return: """ return make_http_code_translation(app)
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import warnings def parmap(f, X, nprocs=1): """ parmap_fun() and parmap() are adapted from klaus se's post on stackoverflow. https://stackoverflow.com/a/16071616/4638182 parmap allows map on lambda and class static functions. Fall back to serial map when nprocs=1. """ if nprocs < 1: ...
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def is_char_token(c: str) -> bool: """Return true for single character tokens.""" return c in ["+", "-", "*", "/", "(", ")"]
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import numpy def _float_arr_to_int_arr(float_arr): """Try to cast array to int64. Return original array if data is not representable.""" int_arr = float_arr.astype(numpy.int64) if numpy.any(int_arr != float_arr): # we either have a float that is too large or NaN return float_arr else: ...
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def latest(scores: Scores) -> int: """The last added score.""" return scores[-1]
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def get_dp_2m(wrfin, timeidx=0, method="cat", squeeze=True, cache=None, meta=True, _key=None, units="degC"): """Return the 2m dewpoint temperature. This functions extracts the necessary variables from the NetCDF file object in order to perform the calculation. Args: ...
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def fit_uncertainty(points, lower_wave, upper_wave, log_center_wave, filter_size): """Performs fitting many times to get an estimate of the uncertainty """ mock_points = [] for i in range(1, 100): # First, fit the points coeff = np.polyfit(np.log10(points['rest_wavelength']), ...
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def from_dateutil_rruleset(rruleset): """ Convert a `dateutil.rrule.rruleset` instance to a `Recurrence` instance. :Returns: A `Recurrence` instance. """ rrules = [from_dateutil_rrule(rrule) for rrule in rruleset._rrule] exrules = [from_dateutil_rrule(exrule) for exrule in rruleset....
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import re def error_038_italic_tag(text): """Fix the error and return (new_text, replacements_count) tuple.""" backup = text (text, count) = re.subn(r"<(i|em)>([^\n<>]+)</\1>", "''\\2''", text, flags=re.I) if re.search(r"</?(?:i|em)>", text, flags=re.I): return (backup, 0) else: re...
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