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def noAction(State): """ Do nothing option. Arguments --------- State : StateClass governing state, ignored. Returns ------- None """ return None
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def normalvariate(mu, sigma): """Normal distribution. *mu* is the mean, and *sigma* is the standard deviation.""" return 0.0
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import random import string def generate_random_string(length): """Utility to generate random alpha string for file/folder names""" return ''.join(random.choice(string.ascii_letters) for i in range(length))
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def recursive_binary_search(l:list, item): """Use binary search with recursion.""" if len(l) < 2: return 0 if len(l) == 1 and item == l[0] else None else: mid = len(l) // 2 if item == l[mid]: return mid elif item > l[mid]: return recursive_binary_searc...
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import argparse import os import sys def parse_args(): """Read args, check.""" app = argparse.ArgumentParser() app.add_argument("orthologs_file", help="Output of the chain classifier.") app.add_argument("bed_file", type=str, help="BED FILE") app.add_argument("bdb_bed_file", type=str, help="BDB BED...
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def check_header_gti(hdr): """ Check FITS header to see if it has the expected data table columns for GTI extension. Require the following keywords:: TELESCOP = 'NuSTAR' / Telescope (mission) name HDUCLAS1 = 'GTI' / File contains Good Time Intervals NAXIS = ...
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def convert_args_to_list(args): """Convert all iterable pairs of inputs into a list of list""" list_of_pairs = [] if len(args) == 0: return [] if any(isinstance(arg, (list, tuple)) for arg in args): # Domain([[1, 4]]) # Domain([(1, 4)]) # Domain([(1, 4), (5, 8)]) ...
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def xify_dirname(val): """Convert a directory name to an X-string, as used in the index.html filenames. The "if-archive/games" directory is mapped to "if-archiveXgames", for example. We acknowledge that this is ugly and stupid. It's deprecated; we now point people to dir/index.html indexes which don...
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def get_eta_H_i(f_H_i, etr_d_i): """開口部の暖房期の日射熱取得率 (-) …………式(3) Args: f_H_i(float): 開口部の暖房期の取得日射熱補正係数 (-) etr_d_i(float): 開口部の垂直面日射熱出得率((W/m2)/(W/m2)) Returns: float: 開口部の暖房期の日射熱取得率((W/m2)/(W/m2)) """ return f_H_i * etr_d_i
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import os def get_data_path(): """ Get the directory from which the script is executed to load the data correctly. This is especially important for the execution in a jupyter notebook. """ current_path = os.getcwd() current_directory = current_path[current_path.rindex(os.sep) + 1:] if curr...
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def get_keydefs(doc, soort, keydefs=None): """build dictionary of key combo definitions """ if not keydefs: keydefs = {} context = '' for line in doc: line = line.strip() if not line or line.startswith(';') or line.startswith('#'): continue elif line.sta...
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def disabled(m): """Load-time waring about disabled function""" print("warning: method is disabled:%s" % m) def nothing(*args, **kwargs): print("warning: Calling disabled method %s does nothing" % str(m)) return nothing
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def create_filter(badge, name, param, params): """ params should be a QueryDict e.g. request.GET.copy() """ # handle show/hide active = param in params if 'hide' in param: active = not active if param in params: del params[param] else: params[param] = '' ...
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def broadcastUNeighborDict(sContext, uNeighborRDD): """ Broadcast user neighbors dict """ userNeighborList = uNeighborRDD.collect() userNeighborDict = {} for user, simrecords in userNeighborList: userNeighborDict[user] = simrecords uNeighborBC = sContext.broadcast(userNeighborDict)# broa...
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def tokenFieldPredicate(field): """returns the tokens""" return tuple(field.split())
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def render_plugin(context, plugin): """ Render a single plugin. Requires the :class:`feincms3.renderer.TemplatePluginRenderer` instance in the context as ``renderer``:: {% render_plugin plugin %} In general you should prefer :func:`~feincms3.templatetags.feincms3_renderer.render_region...
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def num_simplex_boundary_simplices(n): """ Get the number of boundary simplices of an n-dimensional simplex. :param n: Dimension of the simplex. :return: Number of boundary simplices. .. rubric:: Examples >>> num_simplex_boundary_simplices(2) 3 >>> num_simplex_boundary_simplices(3) ...
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import re def has_datas(command): """ Function to determine if there is data in the curl command, even if the datas are empty or only if there is --data or -d without something next to it.""" has_datas_pattern = r"(-d|--data)" has_datas = re.search(has_datas_pattern, command) return True if has_d...
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def check_key(data, key): """ Check if key in data. If so, then return the value, otherwise return the empty string. """ if data.keys().__contains__(key): return data[key] else: return ''
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def guess_type_value_type(none=True): """ @param none if True and all values are empty, return None @return the list of types recognized by guess_type_value """ typstr = str return [None, typstr, int, float] if none else [typstr, int, float]
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from typing import Any def decode_answer(response_data: dict) -> Any: """ Decode the answer described by *response_data*, a substructure of an enrollment document. Returns a string, number, tuple of strings, or None. """ answer = response_data["answer"] if answer["type"] in ["String", "N...
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import random import math def evaluate_cost(uk_cities): """ this method evaluates the cost for the graph :param uk_cities: networkx graph :return: networkx graph """ # get all the roads from the graph all_roads = uk_cities.edges() for i, val in enumerate(all_roads): # get the d...
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import os def _check_file_and_return_name(file): """ Check whether a file exists and if it does, accumulate file number so that we don't overwrite previous files. """ i = 2 if file[-3:] == "mp4": if os.path.exists(file): file = file[:-4] + str(i) + ".mp4" i += 1 ...
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def half_rect(input): """ Half rectification Parameters: inData: ndarray input signal Returns: result: ndarray half-rectified signal """ return (input + abs(input)) / 2.0
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def find_ab(side1, side2, side3): """ Takes three side lengths an returns two smallest in a list :param side1: int or float :param side2: int or float :param side3: int or float :return: list of 2 ints or floats """ ansX = side1 if side2 > side1 and side2 > side3: ansX = side...
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import numpy def rads(angle): """ Converts given angle from degrees to radians. Args: angle: float Angle in degrees. Returns: float Angle in radians. """ return numpy.deg2rad(angle)
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def edit_string_for_tags(tags): """ Simplified version of comma separated tags """ names = [] for tag in tags: name = tag.name if ',' in name: names.append('"%s"' % name) continue names.append(name) return ','.join(names)
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import requests import base64 def get_file_content(repo_url, revision, file_path): """Get a git project file content of a specific revision/tag""" url = "%s/contents/%s?ref=%s" % (repo_url, file_path, revision) response = requests.get(url) response.raise_for_status() return base64.b64decode(respon...
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def additive_extension(additive_func, q, q_max, cache=None, cache_offset=1): """ Additive extension for event models. Any sub- or super- additive function additive_func valid in the domain q \in [0, q_max] is extended and the approximited value f(q) is returned. NOTE: this cannot be directly used with d...
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import random def getRandomSequence(length=500): """Generates a random name and sequence. """ fastaHeader = "" for i in range(int(random.random()*100)): fastaHeader = fastaHeader + random.choice([ 'A', 'C', '0', '9', ' ', '\t' ]) return (fastaHeader, \ "".join([ random.choice([...
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import subprocess import os def get_avb_image_size(image): """Returns the image size if there is a AVB footer, else return zero.""" avbtool_info_cmd = ['avbtool', 'info_image', '--image', image] result = subprocess.run(avbtool_info_cmd, check=False, stdout=subprocess.DEVNULL, ...
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def extract_line_coverage(coverage): """Extract line coverage from raw coverage data.""" line_coverage = {} # file name -> function data for filename, function_data in coverage.items(): line_coverage[filename] = {} # function -> line data for _, line_data in function_data.items(...
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from functools import reduce def rgetattr(obj, name): """Recursive version of :func:`getattr`.""" return reduce(getattr, name.split('.'), obj)
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import random def reduce_dicts(titles, gold, shuffle=False): """ reduce 2 dictionaries to 2 lists, providing 'same index' iff 'same key in the dictionary' """ titles, gold = dict(titles), dict(gold) titles_list = [] gold_list = [] for key in titles: titles_list.append(titles[key]) ...
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def int_list_to_str(lst): """ Given a list of integers: [1, 10, 3, ... ] Return it as a string of the form: "[1,10,3,...]" """ return "[%s]" % ','.join([str(l) for l in lst])
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def endian_swap(value): """"Given a 32-bit integer value, swap it to the opposite endianness""" return (((value >> 24) & 0xff) | ((value >> 8) & 0xff00) | ((value << 8) & 0xff0000) | (value << 24))
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import time def wait_for(predicate, timeout, period=0.1): """ Wait for a predicate to evaluate to `True`. :param timeout: duration, in seconds, to wait for the predicate to evaluate to `True`. Non-positive durations will result in an indefinite wait. :param period: predicate evaluat...
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import re def compute_cpf_validation(cpf): """ Generates the check digits for a given CPF. Parameter: cpf -- A string with 9 to 11 digits. Only the first 9 will be used. Return: The checkdigits for the given CPF. """ if not re.match('[0-9]{9,11}', cpf): raise ValueError('The CPF must have at least 9 digits...
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import argparse def get_args_eval(): """arguments for _eval.py""" parser = argparse.ArgumentParser() parser.add_argument("--folder", type=str, default="vacc_download/walker2d_10_10-v1", help="Path to stored experiment data.") parser.add_argument("--body-id", type=int, default=-1) parser.add_argume...
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def _create_statistics_data(data_list, is_multi_series=False): """ Transforms the given list of data to the format suitable for presenting it on the front-end. Supports multi series charts (like line and bar charts) and or single series ones (like pie/donut charts). :param data_list: a list of ...
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import os def scan_for_commands(dirname=""): """Build a dictionnary containing all commands :param str dirname: the directory where commands are located :return: a dict of commands (name : class) """ path = os.path.join(os.path.dirname(__file__), dirname) result = {} for f in os.listdir(p...
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import struct def ubyte_to_bytes(byte_data: int)->bytes: """ For a 8 bit unsigned byte :param byte_data: :return: bytes(); len == 1 """ result = struct.pack('<B', byte_data) return result
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def member_to_beacon_proximity(m2badge, id2b): """Creates a member-to-beacon proximity DataFrame from member-to-badge proximity data. Parameters ---------- m2badge : pd.DataFrame The member-to-badge proximity data, as returned by `member_to_badge_proximity`. id2b : pd.Series ...
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import pathlib def get_stopwords(language = "english"): """Get stopwords for a language. language: 停用词语言。有"english"和"chinese"两种参数可供查询获取。 """ cnpath = pathlib.Path(__file__).parent.joinpath('dictionary', 'chinese.txt') enpath = pathlib.Path(__file__).parent.joinpath('dictionary', 'english.txt') ...
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def get_height_magnet(self): """get the height of the hole magnets Parameters ---------- self : HoleM50 A HoleM50 object Returns ------- Hmag: float height of the 2 Magnets [m] """ # magnet_0 and magnet_1 have the same height Hmag = self.H3 return Hmag
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import itertools def first(n, it, constructor=list): """ >>> first(3,iter([1,2,3,4])) [1, 2, 3] >>> first(3,iter([1,2,3,4]), iter) #doctest: +ELLIPSIS <itertools.islice object at ...> >>> first(3,iter([1,2,3,4]), tuple) (1, 2, 3) """ return constructor(itertools.islice(it,n))
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def del_repeats(str_series): """ deletes consecutively repeated characters from the strings in a series """ no_repeats = str_series.str.replace(r'([a-z])\1+', r'\1') return no_repeats
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def _set_defaults(value): """ Reasonable defaults for these save some typing. """ # should work unless you've gotten creative with your network address = '192.168.0.1' if 'address' not in value: value['address'] = address # not sure this can be changed user = 'cusadmin' if 'user' not in value: va...
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import subprocess def get_shell_cmd_output(cmd): """ Returns the output of the shell command "cmd". :param cmd: the shell command to execute """ output = subprocess.check_output(cmd, shell=True, universal_newlines=True) return output
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def get_deployment_labels(deployments): """ Get labels for a given list of deployments. Returns a dictionary in the below format: { deployment_name: {dictionary of deployment labels}, ...} """ deployment_dictionary = {} for deployment in deployments: deployment_dictionary[deploymen...
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def safe_json_metadata(post: dict) -> dict: """ Create a MongoDB index safe json_metadata output. Alternatively, run with: mongod --setParameter failIndexKeyTooLong=false """ def truncate(data): if isinstance(data, dict): data = { **data, ...
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def getFloatFromStr(number: str) -> float: """ Return float representation of a given number string. HEX number strings must start with ``0x``. Args: numberStr: int/float/string representation of a given number. """ numberStr = number.strip() isNegative = False if "-" in numberStr: ...
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def get_max_links_len(body): """Length of max sequence of links, without duplicate tags between links""" tag, max_len = body.find_next('a'), 0 while tag: cur_len = 1 for tag in tag.find_next_siblings(): if tag.name != 'a': break cur_len += 1 if...
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from typing import List import math def calculate_percentile(times: List[int], percent=0.95) -> int: """ Calculate percentile (by default 95%) for sorted `times`. If we cannot choose one index, we use average of two nearest. """ index = (len(times) - 1) * percent if index.is_integer(): ...
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def insertion_sort(array: list, ascending=True) -> list: """This function sort an array implementing the insertion sort method Parameters ---------- array : list A list containing the elements to be sorted ascending : boolen Indicates whether to sort in ascending order Retu...
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import re def get_pool_uuid_service_replicas_from_stdout(stdout_str): """Get Pool UUID and Service replicas from stdout. stdout_str is something like: Active connections: [wolf-3:10001] Creating DAOS pool with 100MB SCM and 0B NvMe storage (1.000 ratio) Pool-create command SUCCEEDED: UUID: 9cf5be...
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import copy def copy_list(src, deep_copy=False): """ Copies list, if None then returns empty list :param src: List to copy :param deep_copy: if False then shallow copy, if True then deep copy :return: Copied list """ if src is None: return list() if deep_copy: return co...
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from pathlib import Path def is_path(file): """Helper function for testing whether *file* needs an :func:`open` call.""" return isinstance(file, (bytes, str, Path))
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def get_head(text, headpos, numchars): """Return text before start of entity.""" wheretostart = headpos - numchars if wheretostart < 0: wheretostart = 0 thehead = text[wheretostart: headpos] return thehead
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def get_in(dct, keys): """Gets the value in dct at the nested path indicated by keys""" for key in keys: if not isinstance(dct, dict): return None if key in dct: dct = dct[key] else: return None return dct
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import os def update_set(s, d): """ function to update a set with URSIs and stranger presence from vocal-condition wav files in a given directory Parameters ---------- s : set set to update d : string path to directory to update from Returns -...
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def initial_investment(pv_size, battery_size, n_batteries = 1, capex_pv = 900, capex_batt = 509): """Compute initial investment""" return pv_size*capex_pv + battery_size*capex_batt*n_batteries
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def _select_column_names(columns_to_select, df): """ base function for column selection. Returns a list of column names. """ if columns_to_select in df.columns: return [columns_to_select] raise KeyError(f"No match was returned for '{columns_to_select}'.")
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def _numeric_to_english(word): """! replace numerals with english """ eng = ['zero', 'one', 'to', 'three', 'for', 'five', 'six', 'seven', 'ate', 'nine'] for e, i in zip(eng, range(0,len(eng))): word = word.replace(str(i), '_'+e+'_') return word
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def est_dif (s): """доп. оценка - по разным цифрам""" u = list(set(list(s))) u.sort() u = "".join(u) return u
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def recursive_unwanted_orphacode(elem): """ Remove the ORPHAcode past the one defined at the disorder's root level ! NO quality check ! Useless since new Orphadata generation :param elem: disorder object or property :return: disorder object or property without ORPHAcode key """ if isins...
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def truncated_list(data, n): """Compute a truncated list, n is truncation size""" if len(data) < n * 2: raise ValueError('list not large enough to truncate') return sorted(data)[n:-n]
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import subprocess def check_presence(tv_file): """ Just a wrpper of 'ls' command """ try: subprocess.check_output(['ls', tv_file]) return True except subprocess.CalledProcessError: return False return False
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def compress(years): """ Given a list of years like [2003, 2004, 2007], compress it into string like '2003-2004, 2007' >>> compress([2002]) '2002' >>> compress([2003, 2002]) '2002-2003' >>> compress([2009, 2004, 2005, 2006, 2007]) '2004-2007, 2009' >>> compress([2001, 2003, 2004, 2005]) '2001, 20...
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import torch def predict_cmap_interaction(model, n0, n1, tensors, use_cuda): """ Predict whether a list of protein pairs will interact, as well as their contact map. :param model: Model to be trained :type model: dscript.models.interaction.ModelInteraction :param n0: First protein names :type...
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def parse_country_details(response, pos=0): """Parses the country details from the restcountries API. More info here: https://github.com/apilayer/restcountries Args: response (:obj:`list` of `dict`): API response. Returns: d (dict): Parsed API response. """...
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from typing import TextIO from typing import List import os import requests import sys def fetch_fasta(fh: TextIO, fasta_dir: str) -> List[str]: """ Fetch the FASTA files into the download directory """ if not os.path.isdir(fasta_dir): os.makedirs(fasta_dir) files = [] for prot_id in map(str...
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import torch def vrender_flo(weights_coarse, xyz_coarse_target, xys, img_size): """ weights_coarse: ..., ndepth xyz_coarse_target: ..., ndepth, 3 flo_coarse: ..., 2 flo_valid: ..., 1 """ # render flow weights_coarse = weights_coarse.clone() xyz_coarse_target ...
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def obtain_factorial(x): """ Helper function obtain_factorial() for the factorial() function. Given value x, it returns the factorial of that value. """ product = 1 for ii in list(range(x)): product = product * (ii + 1) return(product)
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def get_bg_data(bg_file_path): """ The function creates two indices: * bid -> {bg_id1, bg_id2, ...} * bg_id -> {iid1, iid2, ...} One booking is assigned to only one cluster :param bg_file_path: a path to the file containing information about booking clusters :return: bid -> {bg_id1, bg...
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import torch def dice_score_tensor(reference, predictions): """Computes the dice score for the data and prediction. Tensor shapes are ``[batch, 1, rows, cols]``. The dice score is computed along the batch and is averaged at the end. Parameters ---------- reference : torch.Tensor The refer...
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def generate_transformation_wells(spotting_tuples): """Evaluates spotting_tuples and returns transformation wells. Args: spotting_tuples (list): Sets of spotting reactions are given in the form: ((source wells), (target wells), (spotting volumes)). Each unique transformation well is resus...
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def get_ascii_from_char(char: str) -> int: """Function that converts ascii code to character Parameters ---------- char : character character to convert to ascii Returns ------- ascii_code : int Ascii code of character """ return ord(char)
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def get_comments(github_object): """Get a list of comments, whater the object is a PR, a commit or an issue. """ try: return github_object.get_issue_comments() # It's a PR except AttributeError: return github_object.get_comments()
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def _resolve_subkeys(key, separator='.'): """Resolve a potentially nested key. If the key contains the ``separator`` (e.g. ``.``) then the key will be split on the first instance of the subkey:: >>> _resolve_subkeys('a.b.c') ('a', 'b.c') >>> _resolve_subkeys('d|e|f', separator='|') ...
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import math def gcd(x, y): """ gcd :: Integral a => a -> a -> a gcd(x,y) is the non-negative factor of both x and y of which every common factor of x and y is also a factor; for example gcd(4,2) = 2, gcd(-4,6) = 2, gcd(0,4) = 4. gcd(0,0) = 0. (That is, the common divisor that is "greatest" in...
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import re def problem1(searchstring): """ Match phone numbers. :param searchstring: string :return: True or False """ str_search = re.search(r'^(\S?\d+\W?)\W?(\d+)\-(\d+)',searchstring) #str_search1 = re.search(r'^(\S\d+\W)(?=(\s|\d)\d+)',searchstring) #print(str_search) ...
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import re def setup_time_data_set( collector_info, collector, token_file, data_group): """Using default repeat >>> token_file = 'abc.txt' >>> collector = {"some": 'query', "entry_point": "entry.point"} >>> collector_info = { ... 'credentials': 'credentials/ga.json'...
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def cipher(number): """cipher the number if not present return number""" code = { '1': '9', '2': '8', '3': '7', '4': '6', '5': '0', '6': '4', '7': '3', '8': '2', '9': '1', '0': '5', } return code.get(number, number)
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def optional_g(text): """Method for parsing an 'optional' generalized number.""" if text == '#VALUE!': return None if text: return float(text) else: return None
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def rank_as_string(list1, alphanum_index): """ Convert a ranked list of items into a string of characters based on a given dictionary `alph` of the format that contains the ranked items and a random alphanumeric to represent it. Parameters ---------- list1 : list A lis...
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def _get_date_from_filename(filename): """ Returns date (first part of filename) """ return filename.split("/")[-1].split("_")[0]
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def q_normalize(quat): """Return a normalized quaternion""" mag = quat[0] * quat[0] + quat[1] * quat[1] + quat[2] * quat[2] + quat[3] * quat[3] if mag != 0: for i in range(4): quat[i] /= mag return quat
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import string def _get_normalized_set(vocab): """Build set of special token ids to ignore when computing matching metrics. Args: vocab: An instance of text_utils.Vocab. Returns: remove: A set of wordpiece token indices to ignore. """ punct = {vocab.t2i(t) for t in string.punctuation if t in vocab}...
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def sum_period_pow_worth(copylist): """ Parse list; Sum Period PoW Worth """ strslash = "/" j = 0 totalpowworth = 0 for item in copylist: if (item.__contains__(strslash)): tmp = copylist[j-1] totalpowworth += int(copylist[j-1]) j += 1 else: j += 1 continue return totalpowwo...
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def get_neighbor_address(ip): """Get the neighbor address in a subnet /30 Args: ip (`str`): Ip address to get the neighbor for Returns: None """ # Get the neighbor IP address ip_list = ip.split(".") last = int(ip_list[-1]) ip_list[-1] = str(last - 1) i...
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def get_n_params(model): """ Returns the number of learning parameters of the model """ pp=0 for p in list(model.parameters()): nn=1 for s in list(p.size()): nn = nn*s pp += nn return pp
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import pathlib import os import stat def can_access(path, read=False, write=False, recurse=False): """ Check whether a file exists and can be read/written, or a directory's subfiles (and subdirectories) can be listed/read/written. Args: path Path to a file or directory (or symlink to it) read Check ...
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import time def de_timestr_with_regex_to_timestamp(timestr, regex): """ 将格式字符串转换为时间戳 :param timestr: 某种格式的输入字符串 :param regex: 正则串 :return: 时间戳 """ return time.mktime(time.strptime(timestr, regex))
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def loadPlugin(mod): """ Spawn a plugin class given a module object. Used by loadModule """ plugin = mod.Main() plugin.name = plugin.__module__ plugin.__file__ = mod.__file__ return plugin
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def dismissal_reason(): """ Data for fill reason in dismissal blank """ dismissal_reason = {1: 'по соглашению сторон', 2: 'в связи с истечением срока трудового договора', 3: 'досрочно, по требованию работника, в связи с выходом на пенсию'} # enumerate print f...
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def get_instances(ClassName, arguments, attributes): """Get instances of a class with specific attributes Assumes ClassName is a class type Assumes arguments is an ordered collection of dictionaries as defined in the module documentation Assumes attributes is a list of dictionaries that maps stri...
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def _remove_field(metadata, field): """Remove a certain field from the metadata Args: metadata (dict): Metadata to be pruned field ([string]): Coordinates of fields to be removed """ if len(field) == 1: if field[0] in metadata: del metadata[field[0]] else: ...
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import re def getDtbInfo(dtbPath): """ Extract information from DTB """ pattern = re.compile('^([^-]+)-([^\.]+)\.dtb$') result = pattern.match(dtbPath) if result is not None: return { 'name': dtbPath, 'platform': result.group(1), 'cpu': result.group(...
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def attr(*args, **kwargs): """ Decorator that adds attributes to classes or functions for use with the Attribute (-a) plugin. http://nose.readthedocs.org/en/latest/plugins/attrib.html """ def wrap_ob(ob): for name in args: setattr(ob, name, True) for name, value in kwar...
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