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def XOR(a, b): """ Returns a XOR b (the 'Exclusive or' gate) Args: a (bool): First input b (bool): Second input Returns: bool: The output of the XOR gate """ return ( a - b ).abs()
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import warnings def skopt_get_setting(self): """Find the next parameters to test. """ # params = self._optimizer.ask() # return params with warnings.catch_warnings(): warnings.filterwarnings("ignore", module='skopt') warnings.filterwarnings("ignore", module='sklearn') meth...
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import random def gene_gen(number_of_genes): """ Генерирует последовательность из 1 и 0, кратную 9 """ gene = '' for i in range(number_of_genes*9): gene += random.choice('01') return gene
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import os def secret_filename(dependencies, _maybedeps): """ The filename to put the encrypted secrets in. """ if 'VOYNICH_FILE' in dependencies['environment']: return dependencies['environment']['VOYNICH_FILE'] return os.path.join(dependencies['current_directory'], 'voynich.json')
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def convert_volts(data, places): """function to convert data to voltage level, rounded to specified number of decimal places""" volts = (3.3*data) / float(1023) volts = round(volts, places) return volts
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def lorem_ipsum(): """ Returns 'Lorem ipsum...' text. See: [lipsum.com](http://www.lipsum.com/) :return: >>> lorem_ipsum() #doctest: +ELLIPSIS 'Lorem ipsum dolor sit amet, consectetur ..., hendrerit nulla.' >>> len(lorem_ipsum()) 6877 """ return '''Lorem ipsum dolor sit amet...
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def filter_out_none(dictionary, keys=None): """ Filter out items whose value is None. If `keys` specified, only return non-None items with matched key. """ ret = {} if keys is None: keys = [] for key, value in dictionary.items(): if value is None or key not in keys: ...
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def read(filename, binary=True): """ Open and read a file :param filename: filename to open and read :param binary: True if the file should be read as binary :return: bytes if binary is True, str otherwise """ with open(filename, 'rb' if binary else 'r') as f: return f.read()
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from typing import List def prime_factors(n: int) -> List[int]: """ Returns prime factors of n as a list. >>> prime_factors(0) [] >>> prime_factors(100) [2, 2, 5, 5] >>> prime_factors(2560) [2, 2, 2, 2, 2, 2, 2, 2, 2, 5] >>> prime_factors(10**-2) [] >>> prime_factors(0.02)...
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import string def decrypt(message, key): """ >>> decrypt("Tqxxa iadxp",12) 'Hello world' >>> decrypt("Ck gxk Vktt Yzgzk!!!",6) 'We are Penn State!!!' >>> decrypt("Bj fwj Ujss Xyfyj!!!",5) 'We are Penn State!!!' >>> decrypt(5.6,3) 'error' >>> ...
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def color_float_to_hex(r, g, b): """Convert RGB to hex.""" def clamp(x): x = round(x*255) return max(0, min(x, 255)) return "#{0:02x}{1:02x}{2:02x}".format(clamp(r), clamp(g), clamp(b))
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def propeller_navbar(navbar): """ Render a navbar. **Tag name**:: propeller_navbar **Parameters**: navbar The previously defined navbar instance **Usage**:: {% propeller_navbar navbar_instance %} """ return navbar.as_html()
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def pred_acc(f_pred, prepare_data, options, iterator, verbose=False): """ Just compute the accuracy f_pred: Theano fct computing the prediction prepare_data: usual prepare_data for that dataset. """ valid_acc = 0 n_done = 0 for x1, x2, y in iterator: n_done += len(x1) x1...
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def make_conditional_posterior(posterior, settings): """ Conditions the posterior on the fixed variables :param posterior: full posterior distribution :type posterior: :class:`binf.pdf.posteriors.Posterior` :param settings: simulation settings as specified in a config file ...
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from typing import Dict from typing import Any import yaml def load_data() -> Dict[str, Any]: """Mangle the "vision" database fixture into somthing that resembles a Shopify render context. We're trying hard to transform input data to match that of the reference implementation so that we can do a dire...
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import networkx def eccentricity(G, v=None, sp=None): """Return the eccentricity of nodes in G. The eccentricity of a node v is the maximum distance from v to all other nodes in G. Parameters ---------- G : NetworkX graph A graph v : node, optional Return value of specifie...
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def is_placement_possible(y, x, n, board): """ Returns whether or not a number can be placed at a provided coordinate This function uses the following format: board[y][x] == is_placement_possible(n)? :param x: the provided x coordinate (the column number from left) :param y: the provided y coordinate (the row num...
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import numpy def fftdeconvolve(image, kernel): """ Function that deconvolves and image with a kernal using FFT. Parameters ---------- image: array a 2D image data. kernel: array a 2D kernel. Returns ------- out: array the deconvolved image. """ x = num...
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def moeda(preco=0, valor='R$'): """ -> Faz a conversão do número real para moeda R$. :param preco: preço a ser convertido. :param valor: definida como padrão para o Real Brasileiro. :return: retorna o preço formatado no Real Brasileiro. """ return f'{valor}{preco:.2f}'.replace('.', ',')
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import subprocess def ls(path = '.', args = ''): """ Invoke the shell ls command with args on path""" a = subprocess.Popen(' ls' + ' ' + args + ' ' + path, stdout = subprocess.PIPE, shell = True) (output, err) = a.communicate() return output
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def totalCredits (theDictionary): """Calculates the total credits student is taking this semester. :param dict[str, int] theDictionary: The student's class information with the class as the key and the number or credits as the value :return: The total credits :rtype: int """ total = 0 ...
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import os import io def open_relative(*path): """ Opens files in read-only with a fixed utf-8 encoding. All locations are relative to this setup.py file. """ here = os.path.abspath(os.path.dirname(__file__)) filename = os.path.join(here, *path) return io.open(filename, mode="r", encoding="...
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def _cap_first(s: str) -> str: """Returns string with first character capitalized. Why this isn't in the Python stdlib is beyond me. The capitalize() function annoyingly lowercases the rest of the string.""" return s[:1].upper() + s[1:] if s else s
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def test_temp_album_name_2(photoslib): """ test _temp_album_name when album name exists """ def make_temp_name_func(): count = 0 def temp_name(*args): nonlocal count count += 1 return f"New Album {count}" return temp_name old_temp_name = photos...
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import time import requests def get_new_token(client_id, client_secret, refresh_token, scope, url): """ Get a new access token using a refresh token """ creation = time.time() data = {'client_id':client_id, 'client_secret':client_secret, 'grant_type':'refresh_token', ...
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def angle_brackets(s, fmt_spec): """ Surrounds the string with 《 》 characters. Useful when verifying string truncation i.e. when checking the UI these characters should be visible. :param s: String to surround :param fmt_spec: Regex for placeholders. :returns: String surrounded with 《 》 ""...
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from typing import List import subprocess import os def invoke_command(args: List[str]) -> int: """ Same as calling Python's subprocess.call() method, but explicitly raises a different exception when the command length is too long. See https://github.com/Breakthrough/PySceneDetect/issues/164 for details....
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def flatten_list(list_): """ Returnerar en endimensionell lista [a, b, c, d, e], givet en tvådimensionell [[a, b], [c], [d, e]] """ return [inner for outer in list_ for inner in outer]
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import logging def initialize_logger(file_dir): """Print the results in the log file.""" logger = logging.getLogger() fhandler = logging.FileHandler(filename=file_dir, mode='a') formatter = logging.Formatter('%(asctime)s - %(message)s',"%Y-%m-%d %H:%M:%S") fhandler.setFormatter(formatter) logg...
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def build_mapbox_geo_data(df_geo, text_col='description', markers=None): """Build Mapbox geolocation inner data struct. :param df_geo: a geolocation DataFrame. :type df_geo: pd.DataFrame :param text_col: column name for text. :type text_col: str :param markers: markers to be displayed on map. ...
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def calc_radiated_power_nadir(radiance_integrated, pixel_resolution_along, pixel_resolution_cross): """ Calculate the power radiated from a ground pixel at Nadir. Returns ------- double : Watts per Sterradian. """ return radiance_...
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def create_z_matrix(first_atom, second_atom, third_atom, species, genome): """Create the z-matrix string for a genome""" matrix_str = first_atom + "\n" matrix_str += second_atom + " 1 " + str(genome[0]) + "\n" matrix_str += third_atom + " 1 " + str(genome[1]) + " 2 " + str(genome[2]) + "\n" i =...
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def apply_fs(tmpdir, contents): """ Create the directory structure specified in ``contents``. It's a dict of filenames as keys and the file contents as values. If the value is another dict, it's a subdirectory. """ for filename, content in contents.items(): if hasattr(content, 'items'):...
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def init_Npad(ROI, compression = 8): """Calculate the Npad for padding can be adjusted with compression parameter By default, 8 times smaller than ROI """ if (ROI[2]-ROI[0])>(ROI[3]-ROI[1]): Npad = (ROI[2]-ROI[0])//compression else: Npad = (ROI[3]-ROI[...
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def auto_capitalize(text, state = None): """ Auto-capitalizes text. `state` argument means: - None: Don't capitalize initial word. - "sentence start": Capitalize initial word. - "after newline": Don't capitalize initial word, but we're after a newline. Used for double-newline detection. ...
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import os def get_filenames(root_path,ignore_postfix=[]): """ 获取指定目录下的文件的完整路径,并过滤指定后缀的文件 文件名为byte格式 """ filenames=[] for dirpath, dirs, files in os.walk(root_path): for file in files: filename=os.path.join(dirpath,file) if os.path.splitext(filename)[-1] in ignor...
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def get_bearer_token(request): """Extracts a Bearer authentication token from the request and returns it if present, None otherwise.""" auth = request.headers.get("Authorization") if auth is not None: try: method, content = auth.split(" ") if method == "Bearer": ...
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import csv def specification_file_read(spec_file_name): """ Returns the input from a CSV file as a dictionary. Args: - spec_file_name (String): Path to the CSV file. Returns: - (Dictionary(String:String)): Returns a list of Dictionaries mapping the tables row entrys to the co...
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import base64 def BinaryEncode(value): """If None, returns empty string. Otherwise, encode to a string.""" if value is None: return "" return base64.b64encode(value)
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import numpy def adamBashforth2Integration(calculated, actual, timeStep): """ Implementation of Adam-Bashforth 2 integration. """ output = numpy.zeros((actual.size, )) summation = 0 output[0] = actual[0] output[1] = actual[1] summation += actual[1] for i in range(2, actual.si...
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def checkVals(vs): """ check for big values (likely to cause overflow) """ bigV = 10000 return all(-1*bigV <= v <= bigV for v in vs)
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def make_file_name(full_file_path, supported_extensions): """Generate a pure file name for the file.""" chunks = full_file_path.split("/") file_name = chunks[-1] for ext in supported_extensions: # Remove all extensions file_name = file_name.replace(ext, "") return file_name
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import functools def mobile_template(template): """ Mark a function as mobile-ready and pass a mobile template if MOBILE. @mobile_template('a/{mobile/}/b.html') def view(request, template=None): ... if request.MOBILE=True the template will be 'a/mobile/b.html'. if request.MOBILE=Fals...
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def sim_science_fractions(): """ Elements of the tuple are (priority, numobs, fraction, desitarget_type). The fractions should add up to 1.0... """ return [ (3000, 1, 0.200, "ELG"), (3200, 1, 0.100, "LRG"), (3400, 1, 0.500, "QSO"), (3400, 3, 0.200, "QSO") ]
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def unify_curves(curves): """ """ # 1. Raise degree to maximum degree max_degree = max([crv.degree for crv in curves]) knot_vector = curves[0].knot_vector for crv in curves: if crv.degree != max_degree: raise NotImplementedError("Sorry, lofting curves of different degrees is ...
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import sys import asyncio def _asyncio_run(*args, **kvargs): """ Cheap backport of asyncio.run of Python 3.7+ to Python 3.6. For the real deal, see https://github.com/python/cpython/blob/3.7/Lib/asyncio/runners.py#L8 """ if sys.version_info[:2] >= (3, 7): return asyncio.run(*args, **kv...
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def employee_kwargs(request): """Generate kwargs for constructing employees""" return request.param
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def build_indices(stream): """ Parses the stream of logs and indexes it. Args: stream, list of string, format <metric_name>|<value>|<coma_separated_tags> Returns: pair of hashes, first hash has the format {tag -> set([line_indices])} second hash has the format {line_i...
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def get_crowd_selection(selection_count, selection_map): """ Figure out what the crowd actually selected :param selection_count: number of responses per selection :type selection_count: dict :param selection_map: maps selections to output fields :type selection_map: dict :return: the respo...
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def fastest_path(nums) : """ :param nums: :return: """ for i in range(1, len(nums)): len_i = len(nums[i]) for j in range(len_i): if j == 0 : nums[i][j] = nums[i - 1][j] + nums[i][j] elif j == len_i-1: nums[i][j] = nums[i - 1][j ...
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def get_stop_word(): """ 去除停用词,将停用词以集合的形式返回 :return: stop words """ stop_word = set() for line in open('./data/stop_word_list', encoding='UTF-8'): stop_word.add(line.strip()) return stop_word
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from typing import Iterable def has_intersection(left: Iterable[str], right: Iterable[str]) -> float: """Returns 1.0 if there is any overlap between the iterables, else 0.0.""" if len(set(left).intersection(right)) > 0: return 1.0 return 0.0
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def is_empty_config(host): """ Check if any services should to be configured to run on the given host. """ return (not host.services.exists() and not host.interfaces.exists() and not host.vpn_clients.filter(active=True).exists() and not host.vpn_servers.exists())
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def extract_HBS_learning_curves(runs): """ function to get the hyperband learning curves This is an example function showing the interface to use the HB_result.get_learning_curves method. Parameters ---------- runs: list of HB_result.run objects the performed runs for an unspecifi...
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def get_type_str(json): """ Recreates json as str :param json: input json :return: json string. """ type_str = '' if json.get('type') is not None: type_str += json['type'] for key, val in json.items(): if key == 'type': continue if key == 'typedef': ...
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def shell_sort(array): """ Shell Sort algorithm :param array: the array to be sorted. :return: sorted array. >>> import random >>> array = random.sample(range(-50, 50), 100) >>> shell_sort(array) == sorted(array) True >>> import string >>> array = random.choices(string.ascii_lett...
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def pick_and_pop(keys, d: dict) -> dict: """ pick all (key, val) pair from dictionary 'd' for all keys in 'keys' Then, return a new dict with those picked (key, val) pair """ values = list(map(lambda key: d.pop(key), keys)) return dict(zip(keys, values))
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from typing import Any def vidUnpackedWP( events: Any, return_columns: bool = True, input_collection: str = "Electron_" ) -> Any: """Return dataframe with columns of the cuts in the electron cutBasedID, e.g. Electron_GsfEleEInverseMinusPInverseCut will be 0 (fail), 1, 2, 3, or 4 (tight)""" columns = e...
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def hist_wrapper(self, func, x, bins=None, **kwargs): """Wraps %(methods)s, enforces that all arguments after `bins` are keyword-only and sets the default patch linewidth to ``0``.""" kwargs.setdefault('linewidth', 0) return func(self, x, bins=bins, **kwargs)
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def find_double_day(older_birthday, younger_birthday): """Takes 2 datetime.date objects representing different days, returns the date when one is twice as old as the other Precondition: older_birthday < younger_birthday""" assert older_birthday < younger_birthday difference = younger_birthday - olde...
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import re def countMultiStopMarks(text): """ Count repetitions of stop marks """ return len(re.findall(r"(\.)\1+", text))
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def convert_to_string(web3, data): """ :param web3: :param data: :return: """ return web3.toHex(data)
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from typing import Any import subprocess import contextlib import time def check_call(*args: 'Any', **kwargs: 'Any') -> int: """Wraps :func:`subprocess.check_call`.""" with open('logs/healthcheck.log', 'at', buffering=1) as file: if 'stdout' not in kwargs: kwargs['stdout'] = file i...
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def dna_starts_with(dna, pattern): """ Return True if 'dna' starts with 'pattern' """ # Sanitize input dna = dna.upper() pattern = pattern.upper() if not (set(dna) <= set('CGTA')): raise ValueError('DNA contains garbage: %s' % set(dna)) if not (set(pattern) <= set('CGTA')): rais...
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def fit_to_block_size(sequence, block_size, pad_token_id): """ Adapt the source and target sequences' lengths to the block size. If the sequence is shorter we append padding token to the right of the sequence. Args: sequence (list): sequence to be truncated to padded block_size (int): lengt...
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import re def get_integer(number: str) -> int: """ Fetches all numbers and returns an integer Args: number: A string of the identified number Returns: An integer value of number """ return int("".join(re.findall(r"\d+", number)))
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def proposed_cut_off_value(cut_off_value, length): """Proposes a cutoff-value if cut_off_value < 0 (=default) Reynolds and Gutman (1988) recommend using a cut-off level of 3-5 for 50-60 paricipants --> 4/55: relation cut-off/ladders Args: cut_off_value ([int]): [cutoff-value ] length (...
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def get_query_statistics(tweets, sentiment_aggregate_list): """ Generates basic statistics for a given query set of Tweets. :param tweets: A query set of Tweets :param sentiment_aggregate_list: A list with number of positive, negative and neutral Tweets in the query set :return: Dictionary with tot...
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def mean(numbers): """Calcular el promedio de un array de numeros""" return float(sum(numbers)) / max(len(numbers), 1)
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def position(pos): """ When the player put a piece on the board, this function takes mouse position as an argument and returns the proper point on the square. """ pos = list(pos) for i, ind in enumerate(pos): if ind <= 100 * (ind // 100) + 40: pos[i] = 100 * (pos[i] // 100) ...
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def lines_that_start_with(string, fp): """Helper function to lines in a FORC data file that start with a given string Inputs: string: string to compare lines to fp: file identifier Outputs: line: string corresponding to data line that meets the above conditions """ return [line fo...
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import math def power(n,c): """return pi*2**n""" return math.pi*c
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def ignore_ctrlc(method): """Decorator to make a ProjectKey command ignore Ctrl-C. - For a commands that runs programs that want to handle Ctrl-C themselves - ipython for instance.""" method.ignore_ctrlc = True return method
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def naive_matrix_multiplication_lists(a, b): """ Uses nested loops to calculate AB :param a: An MxN matrix of numbers. :param b: An NxP matrix of numbers. :return: An MxP matrix of numbers which is the product: AB. """ M = len(a) N = len(a[0]) if len(b) != N: raise ValueError...
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def overrides_method(method_name, obj, base): """ Return True if the named base class method is overridden by obj. Parameters ---------- method_name : str Name of the method to search for. obj : object An object that is assumed to inherit from base. base : class The ...
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import requests def create_account(base_url: str, email: str, password: str, username: str, firstname: str, lastname: str, secure: bool): """ Create an account with the server :param base_url: base URL of server :param email: email :param password: password :param username: ...
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def repeat(self): """ Повтор документа. """ self.wait_printing() return self.protocol.command( 0x8C, self.password )
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def parse_value(val): """ Parse values from html """ val = val.replace("%", " ")\ .replace(" ","")\ .replace(",", ".")\ .replace("st","").strip() missing = ["Ejdeltagit", "N/A"] if val in missing: return val elif val == "": return None return float(v...
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def mm_to_dpi(mm): """ 毫米转换成dpi(web上使用的图片都是72dpi 这存在质疑或过时) 图像每英寸长度内的像素点数。DPI(Dots Per Inch,每英寸点数) :param mm: 毫米 :return: dpi """ cm = mm * 0.1 inch = cm / 2.54 # 1in = 2.54cm dpi = 72 * inch return dpi
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import numpy def get_greenness(series,start,minimum_up): """ This function get info about the browness of a cycle. Reference: Keyword arguments: timeseries : numpy.ndarray Your time series. start : integer Position along time series axis m...
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def split(path: str): """Split path into (head, tail) tuple. Tail is the last path component. Head is all the rest.""" if path == "": return "", "" r = path.rsplit("/", 1) if len(r) == 1: return "", path head = "/" if not r[0] else r[0] return head, r[1]
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import json def dump(self): """Item as a JSON representation.""" return json.dumps( self.primitive, sort_keys=True, ensure_ascii=False, separators=(",", ":") )
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import os def build_vcvarsall_vs_path(version): """ Given the Visual Studio version, returns the default path to the Microsoft Visual Studio vcvarsall.bat file. Expected versions are of the form {9.0, 10.0, 12.0, 14.0} """ # Set up a load of paths that can be imported from the tests if 'Pr...
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import argparse def get_argument_parser(): """Define command line arguments and usage.""" parser = argparse.ArgumentParser() parser.add_argument( 'names', help=( 'list of name-location pairs ' '(location is two-letter country abbreviations)')) parser.add_argument( '--first', ...
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from pathlib import Path import os def read_file(filepath: Path) -> bytes: """Return the contents of a file as bytes. If the file is a symlink, read its contents instead of its target. """ if filepath.is_symlink(): return os.readlink(bytes(filepath)) + b"\n" return filepath.read_bytes()
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def get_message(msg): """Return message.""" return ' '.join([msg[0][1:]] + msg[1:])
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def tokenize_grapheme_langid(enhanced_word): """ tokenizer the langid of word (For multilingual GBERT) """ index_over = enhanced_word.index('}') lang_id = [enhanced_word[:index_over + 1]] return lang_id
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def read_cmd_line(parser): """ Parse Command line options. """ args = parser.parse_args() attributes = ['p', 'nstates', 'nconds'] return [getattr(args, p) for p in attributes]
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def match_end(names): """ """ if len(names) == 1: if names[0]=="END": return 1 return 0
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import io import hashlib def get_file_hash(filepath, algorithm): """ Get hash of a file. :param filepath: the path to the file :type filepath: str :param algorithm: the desired hashing algorithm :type algorithm: str :return: Hash of the file in hex form. :rtype: str """ file =...
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def func(x): """ :type x: object """ print(x) return 1
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def get_change_content(children, when): """Checks every childrens history recursively to find the content of the change. Args: children: children array of the post dict. when: Time of change log dict. Returns: Content of the change in HTML format. """ for child in child...
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import torch def top_k_acc(output, target, k=3): """ Caculate the accuracy of a modele output: predictions of the model target: true label same function except that we work on a tensor """ with torch.no_grad(): pred = torch.topk(output, k, dim=1)[1] assert pred.shape[0]...
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def extract_topics(topic_rca, spec_thres): """Creates a map between topics and their core categories Args: topic_rca: specialisation topic spec_thres: threshold to assess specialisation """ # Identify specialised topics spec_topics = topic_rca.max().mask(topic_rca.max() < spec_thres...
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def GetAlleleString(allele): """Get string representation of allele If it is a sequence, return upper case sequence If _SV type, return string representation Parameters ---------- allele : ALT allele from vcf.Record Returns ------- str_allele : str String representa...
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from typing import Dict import os import json def _read_json_file(jsonfile: str) -> Dict[int, Dict[str, float]]: """Return Python dictionary from json file Args: jsonfile: path to JSON file Returns: jsondict: python dictionary """ if not os.path.exists(jsonfile): raise Fil...
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def derive_config_dict(config_obj): """Get the config dict from the obj :param config_obj: The config object :type config_obj: :return: :rtype: """ if config_obj: config_dict = dict(config_obj.__dict__) config_dict.pop("_sa_instance_state") return config_dict els...
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import lzma import json import sys def convert_json(infile, provision): """ Convert clusters JSON file from main branch format to EpiCov format. :param infile: open file stream ('r') to clusters JSON :param provision: str, path to GISAID provision file :return: dict, revised clusters to seriali...
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import six def _GetUnicodeFromIpaSymbolHexCode(hex_code): """Converts the codepoints to a Unicode string. Args: hex_code: string representing hex-code of a codepoint. Returns: string (empty if no success). """ return six.unichr(int(hex_code, 16))
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def enum_metaclass(enum_param, return_name=False, start=0): """ Returns a ``type`` subclass that may be used as a metaclass for an enum. Paremeters: :enum_param: the name of class attribute that defines enum values. The metaclass will add a class attribute for each value i...
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