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def notify_owner(func): """ A decorator for mutating methods of property container classes that notifies owners of the property container about mutating changes. Args: func (callable) : the container method to wrap in a notification Returns: wrapped method Examples: A ``_...
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import socket import time def check_connection( ipv4_addr: str, port: int, timeout_secs: float = 3.0, retries: int = 1, retry_delay: float = 1.0, raise_error: bool = False) -> bool: """ Check if remote TCP connection is possible :param ipv4_addr: remote ipv4 add...
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def close_time(km,brevet_distance): """ input: km brevet_distance is one of the standered distances 200,300,400,600,1000 km output: Closing time in minutes """ ## brevet_dict[brevet_distance]=[max_time,min_speed] brevet_max = { 200:810, 300:1200,400:1620,600:...
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import re def remove_url(_text: str) -> str: """Reference: http://www.noah.org/wiki/RegEx_Python#URL_regex_pattern """ _text = re.sub(r'http[s]?:\/\/(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', '', _text, flags=re.MULTILINE) _text = re.sub(r'\s+$', '', _...
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from itertools import islice, repeat, takewhile from typing import Iterator def ichunks(array: bytes, chunk_size: int) -> Iterator[bytes]: """ Split and yield chunks of the given size. """ idata = iter(array) return takewhile(bool, (bytes(islice(idata, chunk_size)) for _ in repeat(None)))
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def mapped_columns(*column_maps): """ Given any number of column_maps return a list of unique column names """ result = set() for column_map in column_maps: result |= set(column_map.values()) return list(result)
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def transform_map(kfun=lambda x: x, vfun=lambda x: x): """ Function that takes two functions as arguments and returns a function that applies those functions over all of the keys and values in a map and returns the transformed version of the map. kfun: function applied to all keys (default iden...
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def _compute_offset(page: int, items_per_page: int) -> int: """Compute the offset value for pagination. Args: page (int): The current page to compute the offset from. items_per_page (int): Number of items per page. Returns: int: The offset value. """ return int(int(int(page)...
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from typing import Optional from typing import Tuple def split_list(csv_string: Optional[str] = None) -> Tuple[str, ...]: """Split the given `csv_string`, returning a list of its entries.""" entries = (csv_string or "").split(",") return tuple(entry for entry in entries if entry.strip())
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def insertSort(nums): """ 插入排序:稳定排序 """ size = len(nums) for i in range(1, size): while nums[i] < nums[i-1] and i > 0: nums[i], nums[i-1] = nums[i-1], nums[i] i -= 1 return nums
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import sys def get_class( kls, path_adj='/.' ): """Returns a class for the given fully qualified class name, *kls*. Source: http://stackoverflow.com/questions/452969/does-python-have-an-equivalent-to-java-class-forname""" sys.path.append(sys.path[0]+path_adj) parts = kls.split('.') module = ".".join(parts[:-1])...
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def ls_rindex(ls, val, start=None): """ 获取list中最后出现元素val的位置 """ if start is None: start = len(ls) -1 for i in range(start, -1, -1): if ls[i] == val: return i
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def check_palin(s): """ This is `Open-Palm's` function that checks if elements of a given list of strings `s` is a palindrome or not. The input `inp` is a tuple containing a single element.Therefore only the first (0 th argument) is accessed. The first argument of the tuple i.e `s[0]`. s...
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def _positions(field): """Given an index into the puzzle (i.e. a single field, calculate and return a 3-tuple (row, column, box) of the units the field belongs to. """ row = field // 9 column = field % 9 box = (field // 3) % 3 + 3 * ((field // 9) // 3) return row, column, box
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def second(): """Second resource * GET: return "SECOND" """ return {'result': u'SECOND'}
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def intersect(keywords1, keywords2): """ :param keywords1: list of kw from model 1 :param keywords2: list of kw from model 2 :return: common keywords list """ intersect = set(keywords1) & set(keywords2) keywords = list(intersect) return keywords
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def S_linear_model_data(_data_list): """ Returns linear regression model of data samples """ ds = len(_data_list) if ds < 2: return -1 r_data = [] x_val, y_val = list(zip(*_data_list)) x_val_sum = sum(x_val) y_val_sum = sum(y_val) x_val_power = [i*i ...
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import subprocess def run_user_command(command): """Use subprocess to run the user's command. Returns the STDOUT, STDERR, and the Exit Code as a tuple.""" proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, ...
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def get_object_instances(predictions, target, confidence): """ Return the number of instances of a target class. """ targets_identified = [ pred for pred in predictions if pred['label'] == target and float(pred['confidence']) >= confidence] return len(targets_identified)
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def get_gid_ignore_list(inputfile): """Input a file with a list of geneids to ignore when normalizing across taxa Each line should have 1 geneid on it. Use '#' at the start of the line for comments Output a list of geneids to ignore. """ # Don't convert GIDs to ints, # GIDs are not ints for ...
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def create_and(wlk, tree): """ Creator for And and other simple attributes. No walking needs to be done, so simply call the applier function. """ result = [] wlk.apply(tree, result) return [result]
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def listify(x): """ Coerce iterable object into a list or turn a scalar into single element list >>> listify(1.2) [1.2] >>> listify(range(3)) [0, 1, 2] """ try: return list(x) except: if x is None: return [] return [x]
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import numpy def gaussian_psf(fwhm, stampsz=19, deriv=True, shift=[0, 0]): """Create Gaussian psf & derivatives for a given fwhm and stamp size. Args: fwhm (float): the full width at half maximum stampsz (int): the return psf stamps are [stampsz, stampsz] in size deriv (bool): return ...
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from bs4 import BeautifulSoup import re def parse_course_detail(html): """ Use beautifulsoup to get detailed information of one course, then put them in a dictionary. """ soup = BeautifulSoup(html, 'lxml') table = soup.find_all('span', attrs = {'id': re.compile("^u2(45|54|63|72|81|90)_line\d.?...
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def _regmeta_instance_factory(cls, name, *args, **kwargs): """ :param cls(RegisteryMeta): registration meta class :param name(str): name of class that needs to be instantiated :param args(Optional(tuple)): instance positional arguments :param kwargs(Optional(dict)): instance named arguments :ret...
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def strip_extra_whitespace(s): """Replace repeating whitespace chars in a string with a single space. Search for repeating whitespace chars in a string and replace them with a single space. Args: s (str, utf-8): original string to be stripped of whitespace. Returns: A string withou...
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def EncodeAName(s): """ Handle * characters in MSI atom names """ if s.find('auto') == 0: s = s[4:] # If the atom name begins with *, then it is a wildcard if s[:1] == '*': # special case: deal with strings like *7 return 'X' # These have special meaning. Throw away the inte...
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import os def profiles(): """This function can also be a variable Example: profiles = ["profile1", "profile2"] """ demo_profiles = [ "alita", "lotr", "test_noexist", "test_noapps", "test_badapps", ] user_profiles = os.getenv("MY_PROFILES", "...
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from typing import Tuple import ipaddress def _seperate_ip_netmask(ip: str) -> Tuple[str, str]: """ convert a 192.168.1.0/24 address to a 192.168.1.0 255.255.255.0 address""" net = ipaddress.IPv4Network(ip) return str(net.network_address), str(net.netmask)
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import os def write_as_ascii(list_dic): """ Write all results as text file """ n_dic = len(list_dic) if not os.path.exists('output'): os.mkdir('output') for i_dic, dic in enumerate(list_dic): filename = 'output/Poly-n{0}.txt'.format(dic['n']) list_col = [] xi =...
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def get_admission_rules(data, scope): """Get admission control rules.""" args = {} if scope == 'fed' or scope == 'local': args["scope"] = scope rules = data.client.show("admission/rules", "rules", None, **args) # show(self, path, obj, obj_id, **kwargs) return rules
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import requests def get(param): """ @param Request Parameter @return String """ try: r = requests.get(f"https://akaneko-api.herokuapp.com/api/{param}").json() except Exception as e: raise Exception(f"ERROR: > {e}\n\n\nPlease Contact Raphiel#8922 or Open a Issue in https://gith...
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def acquire(filename): """Return a grid of integers by parsing a file.""" grid = [] with open(filename) as f: for line in f: grid.append([int(x) for x in line.split()]) return grid
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def determine_well_width_tolerance(mean_width): """ Determine the tolerance by which well widths are determined to be nearly equal. Fitted to a polynomial trend line for the following data of (mean, tolerance) pairs:: (100, 0.11), (60, 0.13), (50, 0.15), (25, 0.25), (5, 0.50), (1, 0.59) Args:...
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import os def connect_string(): """ Retrieves a valid connection string from the environment and returns it. """ try: connect_string = os.environ["INSTANCE_CONNECTION_NAME"] except KeyError: raise KeyError( "Please set environment variable 'INSTANCE_CONNECTION" ...
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def to_unsigned_byte(num): """ Convert given signed byte number to byte number. :param num: Signed number in range from -128 to 127. :return: Unsigned byte number in range from 0 to 255. """ assert -128 <= num <= 127, 'Value out of range (-128 - 127)!' ret = num if num >= 0 else (256 + num...
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def _check_requires(state, node, statespace, constraint): """Checks if usage of overflowed statement results in a revert statement""" instruction = state.get_current_instruction() if instruction['opcode'] is not "JUMPI": return False children = [ statespace.nodes[edge.node_to] ...
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import string import random def generate_random_string( string_length=88, chars=string.ascii_lowercase + string.ascii_uppercase + string.digits, remove_confusing_digits=False): """ Generate a random string. :param string_length: :param chars: :param remove_confusing_digits:...
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def get_engagement_rate_min(selectpicker_id: str) -> int: """ Min-Delegate-target of get_engagement_rates_min_max (dac-pattern) :param selectpicker_id: :return: int -> min-value of engagement-rate """ min_values = { "1": 0, "2": 1, "3": 2, "4": 3, "5": 4,...
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def total_job_cost(labor, paint_cost): """ Function that will return the total cost of a job """ return labor + paint_cost
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import argparse def __cli(): """Command line interface. :returns: CLI arguments :rtype: <argparse.Namespace> """ desc = "DNA assembly using BASIC on OpenTrons." parser = argparse.ArgumentParser(description=desc) # Specific options for collecting settings from command line subparsers ...
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from typing import Counter def calculate(text_input): """ return a dictionary with lowercase letters for keys and counts for values """ counter = Counter() for text in text_input: counter.update(''.join(c for c in text.lower() if c.isalpha())) return dict(counter)
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def encode(batch, tokenizer, max_len): """ This function takes in a batch and a tokenizer and outputs encoded batch """ return tokenizer.encode_plus( batch, None, add_special_tokens=True, max_length=max_len, pad_to_max_length=True )
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def retrieve_fields(arg: str) -> str: """Strip and filter out the empty elements from the string. :type arg: ``str`` :param arg: The string from which we want to filter out the empty elements. :return: Filtered out result. :rtype: ``str`` """ return ",".join([x.strip() for x in arg.split...
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def get_cz(mag): """ Returns the amount of magnetization along z. Parameters ---------- mag : ndarray Magnetization vector. Returns ------- magz_a, magz_b : float Amount of magnetization in state a and b along z. """ magz_a = mag[2, 0] magz_b = mag[5, 0] ...
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import json def _ConvertConfigParams(config): """Converts numeric sequences into comma-separated string representations.""" updatedConfig = {} # Non-Cloud API expects that pyramiding policy is a JSON string. if 'pyramidingPolicy' in config: updatedConfig['pyramidingPolicy'] = json.dumps(config['pyramiding...
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def is_array(space, w_obj): """ Finds whether a variable is an array""" return space.wrap(w_obj.tp == space.tp_array)
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import torch def cho_log_det(cho_C): """Compute tensor log determinant of $C$ from cholesky factor. ---- Parameters: cho_C: lower triangular tensor where cho_C cho_C^T = C ---- Outputs: C^{-1} """ return 2.0 * torch.sum(torch.log(torch.diagonal(cho_C)))
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import string def make_file_name(song): """Returns a valid file name for a song object.""" valid_chars = "-_.() %s%s" % (string.ascii_letters, string.digits) fname = '{} - {}.mp3'.format(song.name.encode('utf8', 'replace'), song.artist.name.encode('utf8', 'replace')) f...
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def reflux_mass(P_mass, R): """ Calculates the flow rate of reflux. Parameters ---------- P_mass : float The mass flow rate of distilliat, [kg/s] R : float The reflux number, [dismensionless] Returns ------- reflux_mass : float The flow rate of reflux, [kg/s] ...
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def get_base_branch(cherry_pick_branch): """ return '2.7' from 'backport-sha-2.7' """ prefix, sep, base_branch = cherry_pick_branch.rpartition('-') return base_branch
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def planetary_temp(S, A, L=1.0): """Calculate the planetary temperature. SL(1-A) = sT**4 Arguments --------- S : float Incident solar energy. A : float Planetary albedo. Keyword Arguments ----------------- L = 1.0 : float Normalised stellar luminosity. "...
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import torch def batch_index_select(x, idx): """ :param x: *, n, Dim :param idx: *, k :return: *, k , Dim """ idx_ = idx.unsqueeze(-1).expand(idx.shape + (x.shape[-1],)) return torch.gather(x, -2, idx_)
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def draw_frame(surface, rect, color_fill, color_border, border=1): """ Creates and draws a rect with a frame. Returns the inside rect object. returns a pygame.Rect() object, which is the filled area inside the frame - surface: the pygame surface to draw this on - rect: pygame.Rect() object for the o...
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def get_midi_info(pm): """Return useful information from a MIDI object.""" if pm.time_signature_changes: pm.time_signature_changes.sort(key=lambda x: x.time) first_beat_time = pm.time_signature_changes[0].time else: first_beat_time = pm.estimate_beat_start() tc_times, tempi = pm...
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def _eval_expr(expr, ctxt, vars=None): """Evaluate the given `Expression` object. :param expr: the expression to evaluate :param ctxt: the `Context` :param vars: additional variables that should be available to the expression :return: the result of the evaluation """ if...
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def obey_support(strategy, support): """ Test if strategy obeys its support """ for index, value in enumerate(strategy): if index in support and value <= 0: return False elif index not in support and value > 0: return False return True
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def list_depth(l): """Return the depth of the FIRST (0) element of lists inside lists.""" if type(l) is list: if len(l) > 0: return 1 + list_depth(l[0]) else: return 1 else: return 0
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def datetime(anon, obj, field, val): """ Returns a random datetime """ return anon.faker.datetime(field=field)
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import argparse def parse_command_line(): """ Parse the command line. Returns: Namespace: The parsed command line container. """ parser = argparse.ArgumentParser() parser.add_argument("bin", type=argparse.FileType("r"), help="The new binary to size") pars...
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import builtins def mid(x, y, z=0): """Returns the middle value of parameters >>> mid(7,5,10) 7 """ a = [x, y, z] a.remove(builtins.min(a)) a.remove(builtins.max(a)) return a[0]
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def get_auth_user_defaults(): """Return a dictionary of reasonable defaults for auth users.""" auth_user_defaults = dict( username = 'testuser', password = 'password', first_name = 'Test', last_name = 'User', email = 'testuser@colorado.edu' ) return auth_user_defa...
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def samples_number(session, Type='Int32', RepCap='', AttrID=1150021, buffsize=0, action=['Get', '']): """[Get Number of Samples] Returns the integer number of complex samples that will be available to Get Data or Get Data Block when the measurement completes. """ return session, Type, RepCap, AttrID, bu...
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def allMatches(source, regex): """Return a list of matches for regex in source """ pos = 0 end = len(source) rv = [] match = regex.search(source, pos) while match: rv.append(match) match = regex.search(source, match.end() ) return rv
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def select_logical(df): """ Returns dataframe with object type Parameters ----------- df Pandas data frame with item data Returns ----------- col Pandas dataframe with numeric data """ col=df.select_dtypes(include=['bool']) return col
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def type_bibjson(refs_json): """Format BibJSON return from list of standard JSON objects.""" refs_bibjson = list() for rec in refs_json: bib = dict() # Add basic reference info bib.update(type=rec.get('kind'), year=rec.get('year'), title=rec.ge...
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def f(x): """判断是否是回数""" x = str(x) mid = int(len(x) / 2) i = 0 while i < mid: if x[i] != x[-(i + 1)]: return False i += 1 return True
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import io def readReviews(path): """ Function to store reviews in a list buffer. Arguments --------- path: location of reviews Return --------- list of reviews """ # Create an empty buffer to hold all the reviews reviewBuf = [] # Open the file with io.open(path,'r') as raw: for line in raw: revi...
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import os def path_join( filename: str, path_to_folder: str = "../data/", ) -> str: """ os.path.join with default path_to_data. :param str filename: filename. :param str path_to_folder: path to the folder where the filename is located. :return: joined path. :rtype: str """ re...
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def fy(vy0, n): """ Computed by hand """ return n*(2*vy0 + 1 -n) / 2
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import os import re def get_host_release(): """Helper to return the hosts sanitized RELEASE""" rel = os.uname()[2] release = rel.rsplit("-", 1)[0] if "-STABLE" in rel: # FreeNAS release = f"{release}-RELEASE" elif "-HBSD" in rel: # HardenedBSD release = re.sub(r"\W...
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def get_all_group_custom_attributes(group: dict) -> dict: """ Returns a list of all the custom attributes in the group :param group: the group :return: the list of all custom attributes """ custom_attributes_dict: dict = {'name': group.get('name'), 'customAttribute': []} for raw_custom_attri...
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def unique_id_create(my_df, team=False): """Derives a unique ID to allow for merges across different data sources""" my_df = my_df.copy() char_list = ["'", ' III', ' II', ' IV', ' V', 'Jr', '\.', '-'] #removed ' ' symbol_dict = dict(zip(char_list, len(char_list)*[''])) if team: my_df = (my_...
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def get_fitzpatrick_type(ita): """ This function will take a ita value and return the Fitzpatrick skin tone scale https://arxiv.org/pdf/2104.14685.pdf :param ita: :return: """ if ita < -50: return "6" elif -50 <= ita < -25: return "5" elif -25 <= ita < 0: retu...
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def insert_newlines(string: str, every: int = 5) -> str: """Returns a string where \\n is inserted between every n words""" words = string.split() new_string = "" for i in range(0, len(words), every): new_string += " ".join(words[i : i + every]) + "\n" return new_string
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import requests def twitter_get_friends_json(nickname: str, token: str) -> dict: """ Get json with friends by username from twitter. """ reqest_url = "https://api.twitter.com/1.1/friends/list.json" headers = { 'Authorization': 'Bearer {}'.format(token) } params = { 'scree...
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def get_cam_name(i, min_chars=7): """Create formatted camera name from index.""" format_str = '{:0' + str(min_chars) + 'd}' return 'cam_' + format_str.format(i)
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import re def _extract_year(text: str) -> int: """ Extract the year from a PDF file name. Keyword arguments: text -- the text to extract the year from Returns: the year """ year_pattern = re.compile(r"\d{4}", re.IGNORECASE) year = re.search(year_pattern, text) if year is not Non...
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def linear(x, slope=1.0, intercept=0.0): """Return a linear function. x -> slope * x + intercept """ return slope * x + intercept
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import random def different_account(account, test_case=None): """Randomly choose a non-existant account or keep account.""" if test_case: if test_case.get("account"): return "FFFFFFFFF" else: return account else: return "FFFFFFFFF" if random.random() < 0.1 e...
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import os def sirsam_rf(data_sirsam): """ Path to SirSam random forest outputs. """ return os.path.join(data_sirsam, 'random_forest')
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import numpy def _arrayToRgba8888(colors): """Convert colors from a numpy array using float (0..1) int or uint (0..255) to uint8 RGBA. :param numpy.ndarray colors: Array of float int or uint colors to convert :return: colors as uint8 :rtype: numpy.ndarray """ assert len(colors.shape) == ...
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from functools import reduce def pipeline(*fns): """ five = partial(operator.add, 5) ten = partial(operator.add, 10) one = partial(operator.add, 1) pipeline(five, ten, one)(0) = one(ten(five(0))) => 16 """ return reduce(lambda f, g: lambda *xs, **ys: g(f(*xs,...
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def crop_center(array, crop_wh): """[summary] Args: array ([type]): [description] crop_wh ([type]): [description] Returns: [type]: [description] """ _, h, w = array.shape crop_w, crop_h = crop_wh assert w >= crop_w assert h >= crop_h left = (w - crop_w) // ...
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def beautify(elem): """ function to check if strings are numbers and format them :param elem: :return: """ # print(elem) if type(elem) == int: return "$%d$" % elem if type(elem) == float: return "$%.2f$" % elem if elem.replace('.', '', 1).isdigit(): # print(elem, "before") ...
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import hashlib def sha512_encode(t): """Encoder using SHA512. >>> sha512_encode("Hola mundo") '34ddb0edac59e441459e07cf33bd628f53fbbf752141125f069f32081b169f933666c71b2f1b83031da66bc905a1e72af7c6cfd779fc197513639a098f94c641' """ s = hashlib.sha512(t) return s.hexdigest()
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def coroutine(func): """ Implementation adapted from https://www.pythonsheets.com/notes/python-asyncio.html """ func.__coroutinefunction__ = True return func
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def docs(function): """Get module and function name and point users to non-functional counter-part. Gets functions name, splits on "_" and transforms to UpperCase class name. Redirects users to documentation of non-functional counterpart of `function`. """ # removes functional from module modu...
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def geth_to_cmd(node, datadir, verbosity): """ Transform a node configuration into a cmd-args list for `subprocess.Popen`. Args: node (dict): a node configuration datadir (str): the node's datadir Return: List[str]: cmd-args list """ node_config = [ 'nodekeyhex'...
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def threeSum(nums): """ :type nums: List[int] :rtype: List[List[int]] """ def find_rest(current_sum, nums_start_index, results): if current_sum == 0 and len(results) == 3: return results for num in nums[nums_start_index:]: if len(results) < 3 and num not in r...
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import re def get_words_from_txt_file(txt_path: str) -> list: """ Return list of words from txt file at specified path """ words = [] with open(txt_path, encoding='utf-8') as file: for line in file: try: for word in line.split(): words.append(word...
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def extract_terminal_pathname(url): """Extract the last path segment from a URL """ return list(filter(None, url.split("/"))).pop()
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from typing import Union from typing import List def occurrences(obj: Union[int, List], value: int) -> int: """Return the number of occurrences of value in obj. >>> occurrences([[[4, 5], [5]], [3, 5, [[20]]], 3], 5) 3 """ if isinstance(obj, int): return 1 if obj == value else 0 else: ...
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import os def _getFilePathAndName(path, file) -> str: """ Function Description : _getFilePathAndName : provide string of file name and path location accept path folder or location of the file and file name as arguments EXAMPLE ARGS : (path = '/usr/name/', file = 'image.jpg'...
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from typing import Any def resolve_potentially_callable(val: Any) -> Any: """ Check if a value is callable, and return its result if so. Parameters ---------- val: Value to check. """ if callable(val): return val() return val
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def data_to_bin(data): """ Translates occupied seats to 1, others to 0 """ data = list(data) to_bin = str.maketrans("L.#","001") for i in range(len(data)): data[i] = "".join(data[i]) return [datum.translate(to_bin) for datum in data]
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import pickle def load_pickle(path): """ Loads a .pickle file Parameters ---------- path : str Absolute path to the file Returns ------- Object contained in the .pickle file """ with open(path, 'rb') as f: return pickle.load(f)
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import gzip def parse (f): """Decompress an epgdb file. :arg typing.BinaryIO f: epgdb file contents :return: Uncompressed epgdb file contents :rtype: typing.BinaryIO """ # skip epgdb-specific header f.read(12) return gzip.GzipFile(fileobj=f)
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def build_vocab(posts): """ Given the training set of posts, constructs the vocabulary dictionary, `tok_to_ix`, that maps unique tokens to their index in the vocabulary. """ tok_to_ix = {} for post in posts: tokens = post.split(' ') for token in tokens: tok_to_ix.setd...
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def get_feature_importance_data(data_income, column='Close_x', include_targets=False): """ :param data_income: :param column: :param include_targets: targets are 'Open_x', 'High_x', 'Low_x' and 'Close_x' :return: train and test of X and y """ data = data_income.copy() y = data[column] ...
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