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def genFaces(Z): """should be numbered like so Z[0] = corner[:] Z[1] = corner + yDelta Z[2] = corner + zDelta Z[3] = Z[2] + yDelta Z[4] = corner + xDelta Z[5] = Z[4] + yDelta Z[6] = Z[4] + zDelta Z[7] = Z[6] + yDelta """ # list of sides' polygons of figure faces = [[Z[0],Z[1],Z[3],Z[2]], [Z...
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import torch def collate_batch(batch): """ Combines different samples in order to form a batch Arguments: batch (list): list of dictionaries Returns: dict where each sample has been concatenated by type """ result = {} for key in batch[0].keys(): values = (elem[key] f...
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def CorrectUpdateMask(ref, args, request): """Returns the update request with the corrected mask. The API expects a request with an update mask of 'schema', whereas the inline schema argument generates an update mask of 'schema.columns'. So if --schema was specified, we have to correct the update mask. Args...
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def binary_search_iterative(list_, p, r, element): """ ricerca binaria versione iterativa Parametri: list_ (list): lista di numeri interi p (int): indice di inzio dell'array r(int): indice di fine dell'array element (int): elemento da trovare Valore ...
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import os def format_expected_path(ext, path, out_base): """Generate the location to use for the *expected* output file for a given test `path` and output extension key `ext`. The resulting path is located "next to" the test file, using its basename with a different extension---for example `./foo/bar...
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def s(switch_num: int) -> str: """ Returns the switch name for a given switch number """ return f's{switch_num}'
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def groupSubjects(listings): """Group business types and listings by business grouping mongo id""" grouped = {} for l in listings: if l['parent_subject_id']['$oid'] in grouped: grouped[l['parent_subject_id']['$oid']].append(l) else: grouped[l['parent_subject_id']['$oi...
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def merge_sequences(list1, list2, **kwargs): """ Return a new list of model objects merging the lists ``list1`` and ``list2`` keeping the original ``list1`` order and discarding duplicates. """ list1 = list1 or [] list2 = list2 or [] merged = [] existing = set() for item in list1...
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def binary_search(arr, key, low, high): """ arr: array that contains keys key: a key to be searched in array arr low: low indice of array arr high: high indice of array arr """ middle = (low+high) // 2 if low > high: return -1 #key is not found if arr[middle] == key: ...
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def dlv_strip(line): """Strips away the DLV title and stuff, if present.""" if line[:4] == "Cost" or line[:3] == "DLV": return "" if line[:12] == "Best model: ": line = line[12:] line = line.strip() return line
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def is_anon_user(user): """ Determine if an user is anonymous or not. """ return user.username[0:10] == 'anon_user_'
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import socket import os def _mksockerr(err): """ Construct a ``socket.error`` instance based on a specified socket error number. :param int err: A value from ``errno``. :returns: The specified socket error. :rtype: ``socket.error`` """ return socket.error(err, os.strerror(err))
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def identity(x): """Transparent function, returning what's been input""" return x
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def _merge(left, right): """Merger helper.""" result = [] while left and right: if left[0] <= right[0]: result.append(left[0]) left = left[1:] else: result.append(right[0]) right = right[1:] while left: result.append(left[0]) ...
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def merge_dict(lhs, rhs, override=True): """Merge nested right dict into left nested dict recursively. :param lhs: dict to be merged into. :type lhs: dict :param rhs: dict to merge from. :type rhs: dict :param override: the value in rhs overide the value in left if True. :type override: boo...
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def conductance(g, c): """Evaluates the conductance of the clustering solution c on a given graph g.""" n = len(g.vs) m = len(g.es) ASSc = {} AS = {} for col in set(c): ASSc[col] = 0 AS[col] = 0 for i in range(n): current_clr = c[i] for j in g.neigh...
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def ajuste(w, x, d, y): """ Define a taxa de aprendizagem e ajusta o valor do w. """ taxa_aprendiz = 0.01 return w + taxa_aprendiz * (d - y) * x
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def 방_이름(방): """ 똑같은 보안 문제가 있습니다. '방'은 안전한 값이라고 믿을 수 있나요? globals에서 찾는 것보다 나은 방법은 무엇일까요? """ for key, value in globals().items(): if value == 방: return key
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from typing import Union def create(num: int, pos: int) -> Union[int, None]: """Creates a particle at `pos` if possible and returns the new state. Parameters ---------- num : int or Spinstate The number representing the binary state. pos : int The index of the state element. ...
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def removeAtomFromMol(mol, idx): """ This function removes an atom from the pybel moleule object. """ # mol should contain the atom coordinates atom = mol.OBMol.GetAtomById(idx) # delete the atom mol.OBMol.DeleteAtom(atom) return mol
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def find_previous_context(request): """ Founded previous context and return its in string :param request: request from "Create order price" Dialogflow intent :return: String with previous context """ contexts = request.data["queryResult"]["outputContexts"] possible_previous_contexts = {"crea...
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def get_name( individual ): """ Return the name for the individual in the passed data section. """ name = individual['name'][0]['value'] # the standard unknown code is not good for svg output if '?' in name and '[' in name and ']' in name: name = 'unknown' return name.replace( '/', '' ).repla...
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import math def factorial(x): """Return x factorial as an integer""" return math.factorial(x)
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def process_tex(lines): """ Remove unnecessary section titles from the LaTeX file. """ new_lines = [] for line in lines: if ( line.startswith(r"\section{gyptis.") or line.startswith(r"\subsection{gyptis.") or line.startswith(r"\subsubsection{gyptis.") ...
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import collections def frequent_sleeper(sleep_tracker): """Return ID that sleeps the most * the minute they sleep most often.""" sleepiest_guard, most_sleeps = None, 0 for guard, sleeps in sleep_tracker.items(): num_sleeps = len(sleeps) if num_sleeps > most_sleeps: sleepiest_gu...
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def prime_check(n): """Checks if natural number n is prime. Args: n: integer value > 0. Returns: A boolean, True if n prime and False otherwise. """ assert type(n) is int, "Non int passed" assert n > 0, "No negative values allowed, or zero" if n == 1: return...
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from bs4 import BeautifulSoup def get_text(text: str) -> str: """ Возвращаем текст страницы без html тегов :param text: :return: """ try: result = BeautifulSoup(text, "lxml").get_text() assert result, "Don't got text from html" except AssertionError: result = '' ...
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def _get_mean_fcpm0(data: list): """ Calculates the average initial guess at fuzzy c-partitioned matrix. ----------------------------------------------------------------------------------- !!! For statistical evaluation !!! ---------------------------------------------------------------------------...
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def extract_repair_sequence(seq): """ Extract the sequence of node repairs """ sort_seq = seq.sort() repair_seq_order = sort_seq[0][sort_seq[0] != 0] repair_seq_nodes = sort_seq[1][sort_seq[0] != 0] return repair_seq_order, repair_seq_nodes
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import os def proot_distribution_dir(cwd): """Return proot distribution dir from cwd.""" return os.path.join(cwd, "_proot")
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def generate_chebyshev_betas(n=10): """ Generate the first n beta coefficients for monic chebyshev polynomials Source for the recurrence relation: https://www3.nd.edu/~zxu2/acms40390F11/sec8-3.pdf, accessed 11/07/17 :param n: Number of required coefficients, must be >2 :return: List of the first...
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import glob def find_files(directory,pattern): """ Returns a list of files that matches the pattern in a given directory """ files = glob.glob(directory + '/' + pattern) return files
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def _checkFuture(future): """ Wrapper for futures that lets checking of their status using 'eventually' """ def _check(): if future.cancelled(): return None if future.done(): return future.result() raise Exception() return _check
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import json def load_data(file_path): """load data""" data = {} with open(file_path, 'r') as f: for line in f.readlines(): if line.strip(): example = json.loads(line) data[example[list(example.keys())[0]]] = example return data
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def validate_config(config): """Validate configuration""" errors = [] s3_required_config_keys = [ 'account', 'dbname', 'user', 'password', 'warehouse', 's3_bucket', 'stage', 'file_format' ] snowflake_required_config_keys = [ 'a...
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def is_glibc_ref(s): """ Return True if s looks like a reference to GLIBC as typically found in Elfs. """ return '@@GLIBC' in s
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def _int(v): """Convert to int for excel, but default to original value.""" try: if v is None or v == '': return '' if type(v) is str: # we handle strings like '2,345.00' return int(float(v.replace(',', ''))) return int(v) except ValueError: ...
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def count_genres(row_df): """ A trade off degree based in the user genre count :param row_df: A user dataframe row based in the genres distribution :return: A float that is the trade off degree """ count = 0 for i, number in row_df.iteritems(): if number > 0.0: count += ...
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from pathlib import Path import json def dbt_manifest(dbt_manifest_file: Path) -> dict: """ Get the dbt manifest. Parameters ---------- manifest_file : Path The dbt manifest file. Returns ------- out : dict The manifest """ manifest_file = Path(__file__).paren...
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def _get_resource_type(attribute, root, type_, method): """Returns ``attribute`` defined in the resource type, or ``None``.""" if type_ and root.resource_types: types = root.resource_types r_type = [r for r in types if r.name == type_] r_type = [r for r in r_type if r.method == method] ...
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def normal_repr(x, *_): """ Register this with a class to indicate that its own __repr__ method is already fine. This prevents it from being supressed when its output is a bit long. """ return repr(x)
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def date_match(line, pattern): """ If line matches pattern then return the date as an integer, else None. """ match = pattern.match(line) if match: d = "".join([m for m in match.groups() if m]) while len(d) < 12: d = d + "00" dt = int(d) return dt ret...
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import os import json import logging def _get_model_dir(model_dir): """Adjusts model dir for multi-worker training. Checkpointing and Saving need to happen on each worker and they need to write to different paths as they would override each others. This utility function adjusts the base model dir...
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def hello_world(): """ @Useless """ return "Hello, World! I'm serving a VW model"
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def atom(cls): """ An :class:`.Atom` instance. """ return cls(3, -5).clone()
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def recursive_update(original_dict: dict, new_dict: dict) -> dict: """Recursively update original_dict with new_dict""" for new_key, new_value in new_dict.items(): if isinstance(new_value, dict): original_dict[new_key] = recursive_update( original_dict.get(new_key, {}), new_v...
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import numpy def logistic(x): """ Computes :math:`\\frac{1}{1 + e^{-x}}`. """ return 1. / (1. + numpy.exp(-x))
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def all_subclasses(cls): """Recursively returns all the subclasses of the provided class. """ subclasses = cls.__subclasses__() descendants = (descendant for subclass in subclasses for descendant in all_subclasses(subclass)) return set(subclasses) | set(descendants)
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def _is_mxp_footer(line): """Returns whether a line is a valid MXP footer.""" return line.strip().startswith('- - - - - - - - - - - - - - - - - -')
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def hostname(fqdn): """Return hostname part of FQDN.""" return fqdn.partition('.')[0]
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import random def de_jong_step_b_function(transposed_decimal_pop_input): """De Jong Step - B Test Function""" y = [] for individual in transposed_decimal_pop_input: de_jong_step_func_4 = 0 term_1 = 0 term_2 = random.gauss(0, 1) for idx, xi in enumerate(individual): ...
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import time def retry_enumerate(iterable, start=0, max_time=3600): """ Wrapper around enumerate that retries if memory is unavailable. """ retries = 0 seconds = 0 while True: try: return enumerate(iterable, start=start) except OSError: seconds = 2 ** ret...
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def parse_likwid_metrics(file_path,metrics,singlecore=False): """ Reads a single Peano output file and parses likwid performance metrics. Args: file_path (str): Path to the Peano output file. metrics (str[]): A list of the metrics we want to read out. singlecore...
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def convert_to_list(list_or_dict): """Convert list to dict or return input list""" if isinstance(list_or_dict, dict): return [list_or_dict] elif isinstance(list_or_dict, list): return list_or_dict else: raise TypeError(f'Input should be a list or dict. Received {type(list_or_dic...
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def bound_maker_erfrecterf(amplitude_bounds,translational_offset_bounds,stddev_bounds,vertical_offset_bounds,number_erfs): """ Create tuple with lower and upper bounds to be used in the curve fit Args: amplitude_bounds (tuple): bounds on the amplitudes of the gaussians translational_off...
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def kth_element(list_a: list, k: int): """Problem 3: Find the K'th Element of a List Parameters ---------- list_a : list The input list k : int The element to fetch Returns ------- element The k'th element of the input list Raises ------ TypeError ...
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import statistics def calculate_median_depths(document: dict) -> dict: """ Calculate the median depth for all hits (sequences) in a Pathoscope result document. :param document: the pathoscope analysis document to calculate depths for :return: a dict of median depths keyed by hit (sequence) ids "...
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def example(a, b: int, *others, d: float, e=10): """Here is my docstring""" return str(locals())
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def string_to_ord(string): """Convert string to corresponding list of int values.""" return [ord(char) for char in string]
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def slope(x1, y1, x2, y2): """ Calcula o coeficiente angular de dois pontos, ou seja, a variação no eixo y dividido pela variação no eixo x. :param x1: coordenada do primeiro ponto no eixo x :param y1: coordenada do primeiro ponto no eixo y :param x2: coordenada do segundo ponto no eixo x :p...
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def calc_time(url, time, total_time, total_count): """ Calculate times """ count = len(time) time_sum = sum(time) return { "url": url, "count": count, "time_sum": time_sum, "time_avg": time_sum/count, "time_max": max(time), "time_med": sorted(time)[int((co...
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def get_checksum_dict_from_txt(txt_file_path): """Method used to get the checksum file from a ggd recipe get_checksum_dict_from_txt =================== This method is used to obtain a ggd recipe's checksum file from the recipes checksum_file.txt. Parameters: ---------- 1) txt_file_path: ...
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def problem_8_7(cents): """ Given an infinite number of quarters (25 cents), dimes (10 cents), nickels (5 cents) and pennies (1 cent), write code to calculate the number of ways of representing n cents. """ smaller_vals = { 25: 10, 10: 5, 5: 1 } def num_combinations(...
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def possible_segments(N): """ Generate the combination of segments """ segments = ((i, j, k) for i in range(N) for j in range(i + 1, N) for k in range(j + 1, N if N - (j+1) < 3 else j + 4 )) return segments
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def get_sh_input_config(cfg, data_source): """Get Sentinel Hub OGC configuration for given data source. :param cfg: COnfiguration :type cfg: dict :param data_source: Sentinel Hub's data source :type data_source: DataSource :return: Sentinel Hub OGC configuration :rtype: [type] """ f...
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def calc_jaccard_index(multiset_a, multiset_b): """Calculate jaccard's coefficient for two multisets mutliset_a and multiset_b. Jaccard index of two set is equal to: (no. of elements in intersection of two multisets) _____________________________________________ (no. of elements in ...
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def session_ps_14bit(max_h, max_w): """Trim size to 14-bit limitation """ # why 16383 instead of 16384 for 14-bit? max_h = max(max_h, 24) max_w = max(max_w, 80) max_h = min(max_h, 204) # 16383 // 80 max_w = min(max_w, 682) # 16383 // 24 if max_h >= 127 and max_w >= 129: return...
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def is_valid(isbn): """ Given a string the program will check if the provided string is a valid ISBN-10. :param isbn: :return: """ # ISBN is invalid in case input string is empty if not isbn or isbn == '': return False # Converting from strings to numbers digits = [] ...
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from typing import Dict def home() -> Dict: """API's homepage""" return { "API": "Videogame quotes API", "version": "1.0.0", "author": "Batucho", "repository-url": "placeholder", }
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def euler_totient(n): """Euler's totient function or Phi function. Time Complexity: O(sqrt(n)).""" result = n for i in range(2, int(n ** 0.5) + 1): if n % i == 0: while n % i == 0: n //= i result -= result // i if n > 1: result -= result // n ...
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def compute_prob(pattern_count, num_patterns, epsilon=1e-7): """ Compute probability of a pattern. """ return (pattern_count + epsilon) / ((num_patterns + epsilon) * (1 + epsilon))
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def T4_p(p): """ Release on the IAPWS Industrial formulation 1997 for the Thermodynamic Properties of Water and Steam, September 1997 Section 8.2 The Saturation-Temperature Equation Eq 31, Page 34 """ beta = p ** 0.25 E = beta ** 2 - 17.073846940092 * beta + 14.91510861353 f = 1167....
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import re def time_to_ps(tstr): """ Convert a time with unit to a float in pico seconds. Supported units: fs, ps, ns, us, ms """ prefactors = ['', 'm', 'u', 'n', 'p', 'f'] m = re.match('([\d.]+)([{}]?)s'.format(''.join(prefactors)), tstr) if m is None: raise ValueError('Could not p...
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def feasible(x, constr): """ Checks the inequality constraints at x. If x is a feasible point, returns True. If it is infeasible, returns the index of the first constraint violated. """ if constr==None: return True for i in range(len(constr)): fi_x = constr[i](x) if f...
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def prop_exists(printer, ast): """Prints an exists property "E ...".""" prop_str = printer.ast_to_string(ast["prop"]) return f'E{prop_str}'
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import re def find_hashtags(text): """ This function extracts and returns all hashtags (characters that start with # sign) found in a string variable. :param text: a string variable :return: a list of characters """ return re.findall(r'[#][^\s#@]+', text)
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def expand_optimization_args(group): """Expands the optimization related arguments with pytorch_translate specific arguments""" group.add_argument( "--subepoch-validate-interval", default=0, type=int, metavar="N", help="Calculates loss over the validation set every N ...
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import warnings def cast_unicode(s, encoding='utf8', errors='strict'): """cast bytes or unicode to unicode""" warnings.warn( "zmq.utils.strtypes is deprecated in pyzmq 23.", DeprecationWarning, stacklevel=2, ) if isinstance(s, bytes): return s.decode(encoding, errors) ...
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import os from pathlib import Path def set_paths(local_path = 'C:/Data/CISI',extract_data=False,base_calculation=False,cisi_calculation=False): """Function to specify required pathways for inputs and outputs Args: *local_path* (str, optional): local path. Defaults to 'C:/Data/CISI'. *extract_...
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def get_code(filename): """arg : (string) : file name return : (list) : list of all instruction in the code file """ file_content = [] with open (filename,'r') as f : lines = f.readlines() for line in lines : file_content.append(line) return file_content
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import requests def get_response_status(derived_from_url): """ Get a response status code for derivedFrom value. Returns True if status code is 200.""" try: r = requests.get(derived_from_url) r.raise_for_status() if r.status_code == 200: return True except requests.ex...
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def find_organization_or_user_for_default_charges(user): """ Takes a user model and finds either the first non public organization or the user itself :param user: :return: namespace name to charge by default (organization or user if not part of any organization) """ namespace_to_charge = user.u...
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import torch def bhw_to_onehot_by_scatter(bhw_tensor: torch.Tensor, num_classes: int): """ Args: bhw_tensor: b,h,w num_classes: Returns: b,h,w,num_classes """ assert bhw_tensor.ndim == 3, bhw_tensor.shape assert num_classes > bhw_tensor.max(), torch.unique(bhw_tensor) batc...
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def extract_ROI(image_path, image, ROI): """Extract the region of interest out of an image :param image_path: path to the image file :type image_path: str :param image: the image matrix :type image: numpy.ndarray :returns: numpy.ndarray -- the region of interest """ if ROI is None: ...
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from typing import Mapping def dict_merge(dct, merge_dct, add_keys=True): """ Recursive dict merge. Inspired by :meth:``dict.update()``, instead of updating only top-level keys, dict_merge recurses down into dicts nested to an arbitrary depth, updating keys. The ``merge_dct`` is merged into ``dct``. ...
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def create_tags(tags: list) -> list: """Prepares tags for a new upload. Keeps as many old tags as possible while adding a "nightcore" tag.""" to_add = 'nightcore' # The total number of characters in YouTube video tags can't exceed 400. # We're adding the "nightcore" tag, so we'll only keep this many ch...
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def ravel_alive(is_alive, *args): """ Takes all is_alive ticks from all sessions and merges them into 1 dimension """ alive_selector = is_alive.nonzero() return [arg[alive_selector] for arg in args]
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def parse_conf_intervals(ci_fh): """ Parse the StAR conf_intervals.txt file, each row a pair of methods with AUC difference (this time WITH sign, so we know which is better and which worse) and confidence interval Parameters: ci_fh - open filehandle to read conf_intervals.txt from Retu...
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def delta_tau_i(kappa_i, p_1, p_2, g): """ Contribution to optical depth from layer i, Malik et al. (2017) Equation 19 """ return (p_1 - p_2) / g * kappa_i
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from typing import OrderedDict def walkdict(dict, match): """ Finds a key in a dict or nested dict and returns the value associated with it :param d: dict or nested dict :param key: key value :return: value associated with key """ for key, v in dict.items(): if key == match: ...
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import subprocess def get_default_configuration(board): """Get the default configuration for given board. """ return subprocess.check_output(["make", "-s", "BOARD=" + board, "default-configuration...
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def instance_to_queryset_string(instance): """ Return a django queryset representation of an instance """ str_type = str(type(instance)).strip("<>'").split('.')[-1] return "<{}: {}>".format(str_type, str(instance))
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def followers_count(user): """ Returns user followers count :param user: An User instance """ if not user or user.is_anonymous(): return 0 return user.followers()
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def level_message(sequence, level): """Return simon level message which contains the simon sequence""" message = "\033[1;95mSequence {}:\n\n\033[4m{}".format(level, " ".join(map(str, sequence))) return message
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import sys def sync_performer(f): """ A decorator for performers that return a value synchronously. The returned function accepts an intent and a box, and the wrapped function will be called with only the intent. The result of the function will be provided as the result to the box. """ de...
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def dict2txt_S(dict_D,add_num_elems=False): """returns a string representation of dict_D""" if add_num_elems: dict_S = "len=%s\n" % (len(dict_D)) else: dict_S = "" for key,val in dict_D.iteritems(): dict_S = dict_S + "\n'%s'='%s'" % (key,val) return dict_S
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from datetime import datetime import random def random_filename(): """自动生成随机文件名""" nowTime = datetime.now().strftime("%Y%m%d%H%M%S")#生成当前的时间 randomNum = random.randint(0,100)#生成随机数n,其中0<=n<=100 if randomNum<=10: randomNum = str(0) + str(randomNum) uniqueNum = str(nowTime) + str(randomNum) ...
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import struct def serialize_close(code, reason): """ Serialize the data for a close frame. This is the reverse of :func:`parse_close`. """ return struct.pack('!H', code) + reason.encode('utf-8')
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def convert_taxa(rough_taxa, formatting_keys='%1.2f', hundredx=False): """Formats lists of numbers for table generation INPUTS: rough_taxa -- a list of lists with a descriptor string followed by a list of corresponding values formatting_keys -- a string describing the way t...
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def get_flip_mutation_function(): """ Returns a function that returns the negated value of the input, where the input is a boolean value; see :ref:`mutation-functions` :Valid For: ``"bool"`` and ``"[bool]"`` gene types :returns: a function that returns the negated value if its input "...
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