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def boolean(flag): """ Convert string in boolean """ s = flag.lower() if s in ('1', 'yes', 'true'): return True elif s in ('0', 'no', 'false'): return False raise ValueError('Unknown flag %r' % s)
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import random def choose(population, weights=None, k=None): """ Chooses k times from the given population with an optional weighted probability. :param population: the population to chose from :param weights: the weights attached to each population element :param k: the amount of times to chose ...
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def _get_arg_config_file(args): """Return String yaml config file path.""" if not args.config_file: raise ValueError("YAML Config File was not supplied.") return args.config_file
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def normalize_whitespace(value): """Removes repeated whitespace from string""" value = " ".join(value.split()) return value
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import json def getEveryoneSingleFrame(path_json4, path_json6, frame_num, filtered_index_C4, filtered_index_C6): """get a list of all the people in one frame Args: -path_json4 path of json for C4 -path_json6 path of json for C6 Returns: -list_kp_4 a list -list_kp_6 a list """...
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import requests def get_access_token(access_code, redirect_uri, client_id, client_secret): """ Gets a user's access token from their access code :access_code: The user's access code after they login to their account :returns: The access token linked to the access code is returned """ request_b...
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def LegalCharacter(character) -> bool: """ description: check if character is legal param {*} character return {*} bool value """ if character.isalnum() or character == "_": return True else: return False
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def p0_reciprocal(xs, ys): """ predictor for first guess for reciprocal """ a0 = ys[len(ys) - 1] b0 = ys[0]*xs[0] - a0*xs[0] return [a0, b0, 1]
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import hashlib def getKeyHashFromKey(keyPath): """ This function get the hashcode for the key, it returns a hash. Args: * keyPath: path to the file used as key Returns: Key's hash in hexdigest format. """ print("Generating hash of key, this might take some time") BLOCKSIZ...
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def multisample_vcf_file(tmpdir, multisample_vcf): """Return path to multi-sample VCF file""" p = tmpdir.mkdir("input").join("input.vcf") with open(str(p), "wt") as f: f.write(multisample_vcf) return str(p)
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def abbr_status(value): """ Converts RFC Status to a short abbreviation """ d = {'Proposed Standard':'PS', 'Draft Standard':'DS', 'Standard':'S', 'Historic':'H', 'Informational':'I', 'Experimental':'E', 'Best Current Practice':'BCP', 'Intern...
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def encode_base64(base64_string: str) -> bytes: """ Convert base64 string to bytes. """ return bytes(base64_string, encoding="UTF8")
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async def async_handle_webhook(cloud, payload): """Handle an incoming IoT message for cloud webhooks.""" return await cloud.client.async_webhook_message(payload)
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def CheckHeader(inFile): """ IN: Data to search Out: Bool and file offset where NULL was found Description: This function attempts to determine if the PlugX input file is XOR encoded. XOR encoded files typically have the key in the 1st 10 bytes followed by a NULL If we don't have a NULL after ...
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def between(min, max): """ Returns a function to test if a value lies between min and max """ def op(x): if min < x and x < max: return True print("ERROR: Value must be between {} and {}".format(min, max)) return False return op
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def obtain_common_duration(score): """ Returns the most frequent duration throughout the whole melody """ # Parse durations and filter out 0s durs = list(filter(lambda x: x, list(map(lambda event: event[0], score)))) unique_durs = [] for dur in durs: if dur not in unique_durs: ...
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async def hello_user(name= 'Regina'): """Returns a simple greeting 👋""" return {'user_name' : f'Hello {name}'}
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import requests def get_proxyscape_proxies(): """ Loads a list of `{ip_address}:{port}` for public proxy servers. """ PROXY_TIMOUT_LIMIT = "1000" url = "https://api.proxyscrape.com/?request=getproxies" url += "&proxytype=http&country=all&ssl=yes&anonymity=all" url += "&timeout=" + PROXY_TI...
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def atkin_sieve(max_value: int): """ We generate a list of primes below a certain threshold with a Atkin sieve (yassified Eratosthenes). """ primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59] class1 = [1, 13, 17, 29, 37, 41, 49, 53] class2 = [7, 19, 31, 43] class3 = [1...
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def children(obj): """Returns the children of the object as items Arguments: obj {object} -- the object to check Returns: dict -- items """ if hasattr(obj, '__dict__'): return obj.__dict__.items() elif hasattr(obj, 'keys'): return obj.items()
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def _slice_extent_axis(ext_min, ext_max, fctr): """Slice an extent into multiple extents along an axis.""" strd = (ext_max - ext_min) / fctr return [(ext_min + i * strd, ext_max - (fctr - i - 1) * strd) for i in range(fctr)]
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def encode_special_characters(user_string): """ Encode Special Characters for user's search Strings Args: user_string(string): raw string to encode Returns: Encode string for elasticsearch """ if user_string is None: return "" sp_chars = ['+', '-', '=', '|', '<', '...
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def calc_insurance_premium(exposed_value_euro: float, flood_prob: float,) -> float: """ The insurance premium in a particular year is just the product of the flood probability and the exposed value. This is reasonable for a self-insuring entity, such as a government, and includes zero risk premium -...
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import configparser def read_config(filename='config.ini', section='default'): """ Reads a config file and returns a section of it. """ config = configparser.ConfigParser() config.read(filename) return config[section]
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def getMapFeature2Property(options): """get a map of features to a property.""" if options.filename_properties: map_feature2property = {} infile = open(options.filename_properties, "r") for line in infile: if line[0] == "#": continue feature, prop...
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from importlib import import_module from typing import Callable def import_function(function_path: str) -> Callable: """ Import a function from a dotted path. Example: >>> import_function("generate_changelog.pipeline.noop_func") <function noop_func at 0x11016d280> Args: ...
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def enable_auto_tray(on=0): """Esconder Automaticamente Icones Inativos na Bandeja DESCRIPTION Este ajuste controla se programas executando na bandeja devem ser escondidos automaticamente quando estao inativos. COMPATIBILITY Windows XP MODIFIED VALUES Enab...
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def should_include_rustc_srcs(repository_ctx): """Determing whether or not to include rustc sources in the toolchain. Args: repository_ctx (repository_ctx): The repository rule's context object Returns: bool: Whether or not to include rustc source files in a `rustc_toolchain` """ ...
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def get_table_4(air_type): """表4 外皮の内側にある空気層の熱抵抗 Args: air_type(str): 空気層の種類 'AirTight'(面材で密閉された空気層)または'OnSiteNonConnected'(他の空間と連通していない空気層)または 'OnSiteConnected'(他の空間と連通している空気層) Returns: float: 外皮の内側にある空気層の熱抵抗 """ R_dict = {'AirTight': 0.09, 'OnSiteNonConnected': 0, 'OnSiteCo...
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def create_mapping(dict_times): """ If times are not integers, transform them into integers. :param dict_times: Dict where keys are times. :return: A mapping which is a dictionary maps from current names of time stamps to integers (by their index) """ keys = list(dict_times.keys()) mapping =...
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def sphinx_lang(env, default_value='en'): """ Returns the language defined in the configuration file. @param env environment @param default_value default value @return language """ if hasattr(env, "settings"): settings = env.settings ...
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def package(label): """Given the label object supplied, returns its string representation. Args: label: a Label object. Returns: A string, describing the full path of the package. Example: >>> package(Label(":target")) "@enkit//bazel/utils:target" """ return "{workspac...
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def get_hashtag_counts(key, val, collection): """ Returns a dict of the region from the colletion. For states, you receive a document containing keys: 'name', 'fips', 'counts', 'abbrev', 'landarea' The value associated to 'counts' is a dict of hashtag and hashtag counts. Query by: 'name',...
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def normalized_dt(mol, dt, n, T): """ """ mft = mol.mean_free_time(n, T) return dt / mft
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import torch def ex_net_svd(model, in_dim): """Performs a Singular Value Decomposition on a given model weights Args: model (torch.nn.Module): neural network model in_dim (int): the input dimension of the model Returns: U, Σ, V (Tensors): Orthogonal, diagonal, and orthogonal matrices """ W_tot...
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import socket import json def get_json_data(stats_sock): """Returns uwsgi stats data as dict from the socket file.""" data_dict = {} data = "" try: with socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) as s: s.connect(stats_sock) while True: d = s.recv(...
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import math def pathlength(x, y): """This function will calculate the pathlength based on the above formula, given x=[x_1...x_i] and y=[y_1...y_i]""" indices = range(len(x)) if len(x) != len(y): return 0 else: pl = 0 for i in indices: L = math.sqrt((...
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def contains_prefix(root, input_prefix): """Check if prefix exists and return True/False w/ num of words with that prefix.""" output_list = [] cNode = root for char in list(input_prefix): found_match = False for node in cNode.nodes: if node.char == char: fo...
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import warnings import os import shelve def data_read(fname, keys=None, path="data"): """DEPRECATED; USE :func:`load`. Parameters ---------- fname : str File name. keys : str, list of str, or None; optional Name(s) of the values to get from file. If None, returns everything as ...
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from typing import Dict from typing import Any import requests def _execute_monkey_patch(self) -> Dict[str, Any]: """Temporary method to enable syncronous client code.""" method: str = self.http_method.lower() additional_kwargs: Dict[str, Any] = {} if method == "get": func = requests.get e...
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def slope_bound(init_point, final_point, delta): """ Obtain a flow in the hybrid automaton H which is close to the slope form by joining two points: initial and final. """ init_t = init_point[0] # Initial time instant final_t = final_point[0] # Final time instant init_x = init_point[1] # Initia...
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def add_to_station(instrument, station): """ add instrument <instrument> to station <station>. """ if instrument.name in station.components: del station.components[instrument.name] station.add_component(instrument) return station
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def get_size_json(doc): """Returns the size of the corresponding tree of the given JSON.""" size = 0 if isinstance(doc, dict): # OBJECT # Count the node of the object and all its keys. size += 1 + len(doc.keys()) # Add the sizes of all values. for key, val in doc.items(): ...
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import numpy def expected_radius_of_isogloss(time_from_origin, graph_diameter=1): """Calculate the expected number of languages in an isogloss""" # Half life of social influence $t$ to be taken from social # psychology literature t = 30 return ( graph_diameter * numpy.exp(-time_from_origi...
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def normalize_run_info(run_info): """Normalize all dictionaries describing a run. Args: run_info (List[Dict]): The list of dictionaries to be normalized. Returns: List[Dict]: The input run_info but with each dictionary now having all the same keys. Note that there will be empty ...
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def fake_response_accepting_class(response): """Fake a class that accepts a response parameter.""" return response
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def short_stat(decoded_diff): """Get the commit data from git shortstat.""" added = None deleted = None changes = decoded_diff.split(",") for i in changes: if "+" in i: added = [int(s) for s in i.split() if s.isdigit()][0] if "-" in i: deleted = [int(s) for s ...
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def linear_interpolate(x, y, x0, y0, x1, y1): """Format a call to linear_interpolate for the given arguments and expected result. """ fmt = """ select linear_interpolate({x}, {x0}, {y0}, {x1}, {y1}), {y} as answer, {y} = linear_interpolate({x}, {x0}, {y0}, {x1}, {y1}) as match ;""" ...
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import six def replace_with_dict(string, str_func, replacements, count=-1): """:yaql:replace Returns a string with all occurrences of replacements' keys replaced with corresponding replacements' values. If count is specified, only the first count occurrences of every key are replaced. :signa...
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import string import random def get_random_string(uppercase=True, alphanum=True, length=32): """ Generate random strings. :param uppercase: include uppercase characters :param alphanum: include numbers :param length: result length """ if uppercase: symbols = string.ascii_l...
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import json def create_user(user_info, app_client): """ Create a user, providing back the id and the token. @param user_dict: dictionary with email and password @param app_client: a Flask app client to create against @returns user_id, token for newly created user """ res = app_client.post(...
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def email_is_string(email): """ Check if the email is a string. :param email: The email to be tested. :type email: str :return: True if the email is a string, else false. :rtype: bool """ return isinstance(email, str)
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import base64 def np_to_base64(a): """ base64 encode the input NumPy array Args: a (array): numpy array Returns: str: Encoded string """ return base64.b64encode(a).decode("utf-8")
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def get_transport(url): """ Gets transport type. This is more accurate than the urlparse module which just does a split on colon. First parameter, url Returns the transport type """ url = str(url) result = url.split("://", 1) if len(result) == 1: transport = "" else: ...
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import math def round_gb_size_up(gb_size, dp=2): """Rounds a GB disk size (as a decimal float) up to suit the platform. Use this method to ensure that new vdisks, LUs, etc. are big enough, as the platform generally rounds inputs to the nearest [whatever]. For example, a disk of size 4.321GB may wind...
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def dict_to_str(dictionary: dict, level: int = 0, ) -> str: """ A helper function to log dictionaries in a pretty way. Args: dictionary (dict): A general python dictionary. level (int): A recursion level counter, sets the visual indentation. Returns: ...
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def _str(object, indent=4): """ Helper function: document data object by convert attributes listed in properties into a string. """ props = [a + "=" + str(getattr(object, a)) for a in object._fields] prefix = " "*indent return prefix+("\n"+prefix).join(props)
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def string_test_xml_setup_multiple_failures(): """This fixture represents two separate failures in two different teardown classes""" junit_xml = \ """ <testsuite errors="0" failures="2" name="" tests="2" time="1956.921"> <testcase classname="" name="setUpClass (tempest.api.compu...
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def tvbatch(t, v): """ Convenience method for paring x and y data for training and validation. Returns tuples pairing, e.g., the offsetting each block by one timestep with respect to x and y versions, such that at each timestep t, y[t] = x[t + 1]. Note that here and elsewhere it has been my custom to iden...
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import re def extract_sentence_id(tag): """ Extract the sentence ID of current sentence. Args: tag (str): Sentence tag Returns: str: sentence ID """ if "<s" not in tag: return "" pattern = re.compile('id="[a-z0-9]+?"(?=\s)') res = re.findall(pattern, tag) if len(res) == 0: return None return res[0...
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from typing import List def _make_citation_command_regex(commands: List[str]) -> str: """ A citation command typically has this structure: \\command[prenote][postnote]{keys}[punctuation] where prenote, postnote, and punctuation are all optional. Reference: https://ctan.math.illinois.edu/macros/lat...
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import warnings def validate_record(record): """Check that `record` contains a key called "time". Args: record (dict): a dictionary representing a data record, where the keys name the "columns". Returns: True if there is a key called "time" (it actually checks for ``"time"`` ...
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def _get_range(val, multiplier): """Get range of values to sweep over.""" range_min = max(0, val - val * multiplier / 100.) range_max = val + val * multiplier / 100. ranges = {'initial': val, 'minval': range_min, 'maxval': range_max} return ranges
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from typing import Callable import inspect import functools def param_attrs(constructor: Callable) -> Callable: """ Decorator for class constructors that sets parameter values as object attributes:: >>> class Foo: ... @param_attrs ... def __init__(self, a, b=1, *, c=True):...
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def invr(): """ For taking space seperated integer variable inputs. """ return(list(map(int,input().split())))
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def do_duration(seconds): """Jinja template filter to format seconds to humanized duration. 3600 becomes "1 hour". 258732 becomes "2 days, 23 hours, 52 minutes, 12 seconds". """ m, s = divmod(seconds, 60) h, m = divmod(m, 60) d, h = divmod(h, 24) tokens = [] if d > 1: tokens...
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def _DecodeCSVShape(op): """Shape function for the DecodeCSV op.""" input_shape = op.inputs[0].get_shape() # Optionally check that all of other inputs are scalar or empty. for default_input in op.inputs[1:]: default_input_shape = default_input.get_shape().with_rank(1) if default_input_shape[0] > 1: ...
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def import_solver(SolverSettings): """this function imports a solver named "solver_type" from SolverSettings solver_type is expected to be the FILENAME of the solver to be imported""" obj = __import__(SolverSettings.solver_type) return obj
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def sol(x): """ If the diff. of even set bits and odd set bits is divisible by 3, then the number is divisible by 3 """ n = len(x) oddCount = 0 evenCount = 0 for i in range(n): if i%2 == 0: if x[i] == '1': evenCount += 1 else: ...
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def locateNodes(nodeList, key, value, noNesting=1): """ Find subnodes in the given node where the given attribute has the given value. """ returnList = [] if not isinstance(nodeList, type([])): return locateNodes(nodeList.childNodes, key, value, noNesting) for childNode in nodeList: ...
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def get_confusion_matrix(label, prediction, category): """ 生成混淆矩阵 :param label: :param prediction: :param category: :return: """ tp = 0 fn = 0 fp = 0 tn = 0 for index in range(len(label)): if label[index] == category: if prediction[index] == category:...
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import torch def compute_kernel(x, y): """ :param x: shape. = (n, k) :param y: shape. = (m, k) :return: """ # (n, m, k) => (n, m) numerator = (x.unsqueeze(1) - y.unsqueeze(0)).pow(2).mean(2) / float(x.size(1)) return torch.exp(-numerator)
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def prime(a): """Return True if a is prime.""" if a == 2: return True if a < 2 or a % 2 == 0: return False return not any(a % x == 0 for x in range(3, int(a**0.5) + 1, 2))
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def generate_project(name='AILE', version='1.0', comment=''): """Generate an Slybot project file""" return { 'name': name, 'version': version, 'comment': comment }
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def linear_forward(current_set, parameter_w, parameter_b): """ linear step for forward propagation :param current_set: current A, numpy arrays :param parameter_w: current parameter W, numpy arrays :param parameter_b: current parameter b, numpy arrays :return: current z, and caches for following ...
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def check_login(session): """ Function to check if the specified session has a logged in user :param session: current flask session :return: Boolean, true if session has a google_token and user_id """ # Check that session has a google_token if session.get('google_token') and session.get('use...
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def serialize_enum_model(model): """Serializes api model into an json serializable object. :param model: BaseModel instance to serialize :return: serialized object """ return model.value
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def sanitize_identifier(identifier): # type: (str) -> str """ Get santized identifier name for identifiers which happen to be python keywords. """ keywords = ( "and", "as", "assert", "break", "class", "continue", "def", "del", ...
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def load32(byte): """ bytearray to int (little endianness) """ return sum((byte[i] << (8 * i)) for i in range(4))
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import os import base64 import requests def get_authenticated_session(): """ Assuming we already have a refresh token, get a new access token and set the corresponding auth header in a new session object. """ client_id = os.environ.get("SPOTIFY_CLIENT_ID") client_secret = os.environ.get("SPOTI...
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def pf(x, A, B, C): """ power function for fitting the CCS vs. m/z data """ return A * (x ** B) + C
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def get_jpg_images(soup): """Extract the URLs of JPG images from the HTML of a reddit category. This method doesn't extract Flickr images. """ images = [] for tag in soup.findAll('a', href=True): if tag['href'].lower().endswith('jpg'): if tag['href'] not in images: ...
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def create_report(prediction, answers): """ This function creates the report for a user based on prediction from the model """ report = 'На сегодняшний день ваша вероятность заболевания составляет ' report += str(prediction) report += '%' report += '\n\n Рекомендации: \n' if prediction > 30: report += 'Вероятно...
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def supply_score(pickups, pickupsfromcarepackages): """ supply_score = 80% * supply score + 20% * care packages score : type pickups: dict : type pickupsfromcarepackages: int : rtype supply_score: int """ # get the total number for each supply category Attachment = pickups["Attachment"] if "Attachment" in pi...
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def build_repr(instance, fields): """ Build the string representation for an instance. Args: instance: The instance to build the repr for. fields: A list of fields to include in the repr. Returns: A string describing the provided instance including ...
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import re from typing import Counter def index_of_coincidence(value, alphabet='ABCDEFGHIJKLMNOPQRSTUVWXYZ'): """ Returns the index of coincidence for a given ciphertext string (a value used to determin whether a poly-alphabetic cipher was used or not) :param value: a ciphertext string :param alpha...
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import re def per_lvl(raw_text): """ Заменяет ~~ на проценты в тексте :param raw_text: Строка с ~~*~~ :return: Строка с % за уровень """ match = re.search('~~.{3,5}~~', raw_text) if match: clean_r = re.compile('~~.{3,5}~~') left, dig, right = raw_text.split('~~', maxsplit=...
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def stringToClass(cls_str): """ Converts the string representation of a class to a class object. :param str cls_str: string representation of a class :return type class: """ import_stg1 = cls_str.split(" ")[1] import_stg2 = import_stg1.replace("'", "") import_stg3 = import_stg2.replace(">", "") import...
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import torch def get_entropy_loss(memory, args, i_agent): """Compute entropy loss for exploration Args: memory (ReplayMemory): Class that includes trajectories args (argparse): Python argparse that contains arguments i_agent (int): Index of agent to compute entropy loss Returns: ...
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from typing import List from typing import Tuple import struct def vox_dict( entries: List[ Tuple[ str, str ] ] ) -> bytes: """Produces the binary representation of a dictionary for the .vox format. Note that all keys and values are strings. Examples -------- >>> vox_dict( [ ( '_t', '10 5 2' ) ] ) This ...
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def find_short(strg): """Return length of shortest word in sentence.""" words = strg.split() min_size = float('inf') for word in words: if len(word) < min_size: min_size = len(word) return min_size
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def add_properties(objectclass, property_list): """Generate class properties for a model that provide read-only access to elements from the internal ._data data structure. :param objectclass: The class to which properties should be added :param property_list: A list of property name + data structure ke...
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from pathlib import Path import csv def display_playlist_tracks(playlist): """ display playlist tracks from saved csv file """ path = Path('playlist_tracks_csv/') file_name = '{}'.format(playlist) # read from existing csv file fpath = (path / file_name).with_suffix('.csv') with fpath.o...
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import argparse def parse_args(msg) -> argparse.Namespace: """Custom argument parser. Args: * `msg` ([type]: str): Description help message. Returns: [type]: Namespace of input arguments. """ parser = argparse.ArgumentParser(description = msg, formatter_class = argparse.RawDescri...
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def every_nd(fn, arr): """ Returns bool, true if fn is true for all elements of arr Parameters ---------- arr: numpy.ndarray Returns ------- bool """ return all(map(fn, arr.flatten()))
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import getpass def get_user_name(): """Get user name provide by operating system """ user = getpass.getuser() return user
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def turn_up_twice(value: int) -> int: """ Turn up cells in the given region twice, i.e. increase brightness by 2. """ return value + 2
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def get_corepy_output(code, inst): """Take an instruction, and return a hex string of its encoding, as encoded by CorePy""" hex_list = inst.render() hex = "" for x in hex_list: hex += "%02x" % (x) return hex
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def cleanup_path(orig_path): """ cleanup path string using escape character """ chars_to_escape = ' ()"[]&,!;$' + "'" for ch_ in chars_to_escape: orig_path = orig_path.replace(ch_, r'\%c' % ch_) return orig_path
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def testFunction(x): """ I{For testing only.} """ return 2*x
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