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def fails_if_called(test, msg="This function must not be called.", arguments=True): """ Return a new function (accepting any arguments) that will call test.fail(msg) if it is called. :keyword bool arguments: If set to ``False``, then we will not accept any arguments. This ca...
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def init_stats(): """Initialize statistics that we want to accumulate.""" return {"step_time": 0.0, "exp_loss": 0.0, "grad_norm": 0.0, }
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def qualifiedClassName(obj): """ Utility method for returning the fully qualified class name of an instance. Objects must be instances of "new classes." """ return obj.__module__ + "." + type(obj).__name__
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from pathlib import Path def path_relative(fp): """Given a filepath returns a normalized a path""" return str(Path(fp))
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import torch def pairwise_distance(node_feature): """ Compute the l2 distance between any two features in a group of features :param node_feature: a group of feature vectors organized as batch_size x channels x number_of_nodes """ batch_size = node_feature.shape[0] node_feature = node_fea...
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def cels_from_fahr(fahr): """Convert a temperature i Fahrenhit to Celsius and retures teh Celsius temprearature""" cels = (fahr - 32) * 5 / 9 return cels
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def bound(x, m, M=None): """ :param x: scalar Either have m as scalar, so bound(x,m,M) which returns m <= x <= M *OR* have m as length 2 vector, bound(x,m, <IGNORED>) returns m[0] <= x <= m[1]. """ if M is None: M = m[1] m = m[0] # bound x between min (m) and Max (M) retu...
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from typing import List import functools def conjunction_for_group(lines: List[str]) -> int: """ Returns the number of questions that everybody in the group answered yes to. """ sets = [set(line) for line in lines] intersection = lambda a, b: a & b return len(functools.reduce(intersection,...
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from typing import Union from typing import Any import ast def cast(value, ast_eval: bool = False) -> Union[int, str, Any]: """Casts values to native Python types. lxml ETree return types don't do this automatically, and by using ast.literal_eval we can directly map string representations of lists et...
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import random def make_deal(cards=[]): """ Deals 2 cards to player and 2 cards to dealer """ if cards: return cards for _ in range(4): cards.append(random.randint(2, 11)) return cards
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def _parse_polarity_data(line_iter): """ 1-4 a4 station name 7 a1 polarity:U,u,+,D,d,or- 8 i1 quality: 0=good quality, 1=lower quality, etc 59-62 f4.1 source-station distance (km) 66-68 i3 takeoff angle 79-81 i3 azimuth 83-85 i3 takeoff angle uncertainty 87-89 i3 azimuth angle unc...
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def is_six_band(frequency: int) -> bool: """determines if a channel frequency is in the 6.0-7.125 GHz ISM band""" if frequency > 5900 and frequency < 7125: return True else: return False
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def setify(i): """ Iterable to set. """ return set(i)
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import time def with_connection(func, self, *args, **argd): """ with_connection: decorator; make sure that there is a connection available for action. Set the connections 'last_used' attribute to current timestamp. We always get a fresh connection from the CONNECTION REGISTRY since the 'extras' co...
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def forkpty(): """Fork a child process, using a new pseudo-terminal as the child's controlling terminal. Return a pair of ``(pid, fd)``, where *pid* is ``0`` in the child, the new child's process id in the parent, and *fd* is the file descriptor of the master end of the pseudo-terminal. For a ...
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def to_snake(camel): """TimeSkill -> time_skill""" if not camel: return camel return ''.join('_' + x if 'A' <= x <= 'Z' else x for x in camel).lower()[camel[0].isupper():]
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from typing import Set def compute_number_of_edge_types( tied_fwd_bkwd_edge_types: Set[int], num_fwd_edge_types: int, add_self_loop_edges: bool ) -> int: """Computes the number of edge types after adding backward edges and possibly self loops.""" return 2 * num_fwd_edge_types - len(tied_fwd_bkwd_edge_type...
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import re def uppercase_lowercase(a_string): """Assumes a_string is a string returns a boolean, True is a_string contains one upper case letter followed by lower case letters else False """ regex = "[A-Z][a-z]+" results = re.search(regex, a_string) return bool(results)
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def _get_mean_dist(data: list): """ Calculates the average euclidian distance matrix from prior training c-means. ----------------------------------------------------------------------------------- !!! For statistical evaluation !!! ------------------------------------------------------------------...
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def process_string(config, x): """"Process a string. This is necessary especially for the heavily used $DECOMP_ROOT variable. """ for key, item in config.variables.items(): x = x.replace(key, item) return x
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import math def calc_pb(j, params): """ Calculates probability of glass breakage (Pb, IM1). """ b = (params.k / (pow(params.a/1000 * params.b/1000, params.m - 1))) * ( pow(1000*params.E * pow(params.h/1000, 2), params.m)) * params.ldf * (math.exp(j)) pb = 1 - math.exp(-b) return pb
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def gray_augment(is_training=True, **kwargs): """Applies random grayscale augmentation.""" if is_training: prob = kwargs['prob'] if 'prob' in kwargs else 0.2 return [('gray', {'prob': prob})] return []
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def winsorize_at_explicit_input(x, lower_bound, upper_bound): """ Winsorizes the array x at the lower_bound and upper_bound. :param x: a numpy array-like object :param lower_bound: a scalar for the lower bound :param upper_bound: a scalar for the upper bound :return: the winsorized array ""...
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def chunk(iterable, num_chunks, fillvalue=(None, None)): """break list into num_chunks chunks. Ugly. Stolen from the web somewhere. """ num = float(len(iterable)) / num_chunks chunks = [iterable[i:i + int(num)] for i in range(0, (num_chunks - 1) * int(num), int(num))] chunks.append(iterable[(nu...
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import random def randomIslandbourne(): """ This function generate a random number, between a range that is present on the map of the game @param None: @return : (str) that represent a name, that are inside of the game """ islandNumb = random.randint(0,10) nameisland = "island "+ str(islandNumb) return name...
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import glob import os def get_files_directory(path, full_filenames=True, reverse_sort=False): """ Gets list of files from a directory Given a path it will return a list of all files as a list Parameters ---------- path: str filepath to load files from, including wildcards will only l...
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def _parse_str_to_dict(x): """Convert "k1:v1,k2:v2" string to dict Args: x (str): Input string Returns: dict: Dictionary {"k1": "v1", "k2": "v2"} """ d = {} for p in x.split(","): if ":" in p: k, v = p.split(":") d[k] = v return d
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def shifted_price_col(df, colname, dt): """ function to compute daily change in price and add to the dataframe change = (price on day t) - (price on day t+1) used as the target variable :param df: pd.DataFrame of stocks. should at least include a closing price columnn named 'Close' ...
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def subject_tag_get_all(client, subject_id, session=None): """Get a list of tags for a specific subject.""" return client.subject_tag_get_all(subject_id=subject_id)
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def _extract_fields_from_row(row, element): """Pluck data from the provided row and element.""" row_data = [] fields = row.find_all(element) for raw_field in fields: field = raw_field.text.strip() row_data.append(field) return row_data
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def normalize_brightness_dict(brightness_dict): """Usually the distribution of the character brightness for a given font is not as diverse as we would like it to be. This results in a pretty poor result during the image to ASCII art conversion (if used as-is). Because of this it's much better to normal...
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def sorted_lines(filename): """Returns a list consisting of the lines of the file, sorted in alphabetical order.""" with open(filename, 'r') as input_file: lines = input_file.readlines() return lines.sort()
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def check_expr(check_output): """A function which takes an expression as a string, construct a B program which evaluates the expression and prints it using putnumb and compares it to an expected output.""" def _check_expr(expr, expected): check_output(''' main() { ext...
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def urlQuoteSpecific(s, toQuote=''): """ Only quote characters in toQuote """ result = [] for c in s: if c in toQuote: result.append("%%%02X" % ord(c)) else: result.append(c) return "".join(result)
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def all_smaller(nums1: set, nums2: set) -> bool: """Return whether every number in nums1 is less than every number in num2. You may ASSUME that: - nums1 is non-empty - nums2 is non-empty - nums1 and nums2 contain only integers and/or floats >>> all_smaller({2}, {3}) True >>> all_...
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def reorder_cols_df(df, col_order, inpl=True): """reorder columns in dataframe """ cols = list(df.columns) check = all(item in cols for item in col_order) if check: newdf = df[col_order] if inpl==True: df = newdf return 1 else: return newdf ...
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def treasury_bill_price(discount_yield, days_to_maturity): """Computes price ot treasury bill""" return 100 * (1 - days_to_maturity / 360 * discount_yield)
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import torch def _get_test_data(with_boundary=True, identical=True): """ Produces test data in the format [Batch size x W x H], where batch size is 2, W=3 and H=3. In the first batch the pixel at 3,2 is a boundary pixel and in the second pixel at 1,2 :param with_boundary: bool if true there i...
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def accelerated_step_size( f , guess , step=.01 ): """ accelerated_step_size( f , guess , step ). This method finds the minimum of a function (f) using the accelerated step size search. Parameters: f (function): the function to minimize guess (float): initial value to start the algorithm s...
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def _analyse_gdal_output(output): """ Analyse the output from gpt to find if it executes successfully. Parameters ---------- output : str Ouptut from gpt. Returns ------- flag : boolean False if "Error" is found and True if not. """ # return false if "Error" is ...
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import os import re def detect_requirements_txt(folder): """ detect requirements.txt from current folder :rtype: List[str] :return: path tot the requirements.txt """ files = os.listdir(folder) # support requirement & requirements selected = [f for f in files if re.match("requirements?...
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def rundir(request): """ Directory to extract files to """ return request.config.option.rundir
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def _parse_argument(s): """ """ if s is None: return s if isinstance(s, int): return s if isinstance(s, float): return s try: return str(s) except Exception: return s
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def normalized_current_date(datetime_col, min_date, max_date): """ Temporal feature indicating the position of the date of a record in the entire time period under consideration, normalized to be between 0 and 1. Args: datetime_col: Datetime column. min_date: minimum value of date. ...
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def _is_permutation_winning(my, result, count): """判断是否匹配(排列方式) my: 排列数1 result: 排列数2 count: 匹配的位数 e.g.: my = [9,9,8,5,6,3,8] result = [2,0,3,5,6,4,9] count = 2 return is True """ s, e = 0, count #逐个切片 while e <= len(result): if my[s:e] == res...
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import string import random def random_string_generator(size=10, chars=string.ascii_uppercase + string.digits): """ Generate a random string of `size` consisting of `chars` """ return ''.join(random.choice(chars) for _ in range(size))
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import torch def sequence_mask(lengths, maxlen, dtype=None): """ Exact same behavior as tf.sequence_mask. Thanks to Dimitris Papatheodorou (https://discuss.pytorch.org/t/pytorch-equivalent-for-tf-sequence-mask/ 39036). """ if maxlen is None: maxlen = lengths.max() mask = ~(tor...
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def ensure_list_or_tuple(obj): """ Takes some object and wraps it in a list - i.e. [obj] - unless the object is already a list or a tuple instance. In that case, simply returns 'obj' Args: obj: Any object Returns: [obj] if obj is not a list or tuple, else obj """ return [ob...
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import requests def get_agents(url, agents_tag, headers): """Get the agents.""" req = requests.get(url + "/agents/", headers=headers) if req.status_code != 200: raise ValueError("Unable to get the token") return [a for a in req.json()["results"] if agents_tag in a["parameters"]["tags"]]
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def clean_args(args): """ Cleans up the args that weren't passed in """ for arg in args: if not args[arg]: del args[arg] return args
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import math def get_num_length_for_fractional(number, base): """Given length of a fractional decimal number, return the length of the equivalent representation in the new base. Parameters: number: float -- representation of number base: int -- base to convert to Return: ...
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def pd_subset_latest(df1, field_val, field_sortmax): """ # only keep the latest section with the latest size # (eg if the ec2 had the size s1 then s2 then s1, only keep the latest) """ if df1.shape[0]==0: return df1 df2 = df1.sort_values(by=field_sortmax, ascending=True) latest_val = df2[fi...
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def section(name): """ Returns regex matching the specified section. Case is ignored in name. """ return r'(?<=\n)={2,} *' + fr'(?i:{name})' + r' *={2,}'
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import time import re def to_kubernetes_name(name, prefix=""): """ Returns a valid and unique kubernetes name based on prefix and name, replacing characters in name as necessary see https://kubernetes.io/docs/concepts/overview/working-with-objects/names/ """ unique_id = str(time.time()).replace("....
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def replace_frames(infile, reorders): """Put frames into the right order, returning a list of binary objects""" return list()
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from typing import Type from typing import TypeVar import inspect def type_label(attr_type: Type) -> str: """ Generate the label to be used to describe an `attr_type` in generated user documentation. Since we care about the output of this method when `attr_type` points to a `spec_cls` decorated type, ...
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def get_feature_lists(): """This is a static function to DRY our code for feature categorization Returns ------- A tuple of lists of feature types with feature names in them. numeric_features_general, numeric_features_special, categorical_features_general, categorical_fe...
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def voltage_piv(power, current): """Usage: voltage_piv(power,current)""" return power/current
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def formata_processo(_processo: str) -> str: """ formata o numero do processo divindo o numero pelos devidos campos :param _processo: str :return: str """ return f'{_processo[-20:-13]}-{_processo[-13:-11]}.{_processo[-11:-7]}.{_processo[-7:-6]}.{_processo[-6:-4]}.{_processo[-4:]}'
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def target_state(target_dict): """Converting properties to target states Args: target_dict: dictionary containing target names as keys and target objects as values Returns: dictionary mapping target name to its state """ if {} == target_dict: return None result = {} ...
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import argparse def parse_fulltest(optlist=None): """Parse fulltest options. This parses either sys.argv or a list of strings passed in. If passing an option list, you can create that more easily using the :func:`option_list` function. Args: optlist (list, optional): Optional list of ar...
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def height_handler(length_value): """ :param length_value: :return: the height of the triangle """ return length_value * 0.5 * 3 ** 0.5
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def get_entity_by_id(entity_class, aid): """ 通过主键获得 entity :param entity_class: :param aid: :return: """ return entity_class.select().where(entity_class.id == aid).first()
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def F_calc(TP, FP, FN, beta): """ Calculate F-score. :param TP: true positive :type TP: int :param FP: false positive :type FP: int :param FN: false negative :type FN: int :param beta: beta coefficient :type beta: float :return: F-score as float """ try: resu...
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def title_case(sentence): """ Capitalize the first letter of every word. Parameters ---------------- sentence: string The sentence to be put into title case. Returns ---------------- capitalized: string The input string in title case. """ if sentence == sentenc...
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def horner(a, x): """ T(n) = Theta(n^2) since we have to traverse a nested loop for each term :param a: list of "n" coefficients :x float: the value for which to compute the polynomial value """ y = 0 for i in range(len(a)): temp = 1 print("temp= 1") for j in ran...
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import pickle def pkl_data(stuff,pkl_file_name = "Quandl_data.pkl"): """ pkl_data = pkl_data(stuff,pkl_file_name) where INPUTS: stuff is a Python object to pickle pkl_file_name is a string that is the file name of the file to pickle pkl_data pickles data and results in a binary file ...
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def testme(si): """Revert a string, filtering out the vowel characters""" so = ''.join([c for c in reversed(si) if c.lower() not in 'aeiouy']) return so, len(so)
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def img_pred(path): """Sends a path to an image to the classifier, should return a JSON object.""" if path == "https://michelangelostestbucket.s3.us-west-2.amazonaws.com/8bf0322348cc11e7e3cc98325fbfcaa1": result = "{'frogs' : '3'}" else: result = {'sharks': '17'} return result
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def status_readable_name_with_count(value, count): """Converts the underscore from a status name into a space and adds trait count for it""" readable_name = value.replace('_', ' ') return f"{readable_name} [{count}]"
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import hashlib def get_md5(file: str) -> str: """ Get the md5code of file. :param file: The path of file. :return: The md5code of file """ m = hashlib.md5() with open(file, 'rb') as f: for line in f: m.update(line) md5code = m.hexdigest() return md5code
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import pathlib def get_test_materials_dir(): """Returns the path of the test-materials directory.""" return pathlib.Path(__file__).parent / "test-materials"
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def diz_oi(): """Uma função simpes que retorna a string 'Oi!'""" return 'Oi!'
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import os def get_yosys(): """Return how to execute Yosys: the value of $YOSYS if set, otherwise just `yosys`.""" return os.getenv("YOSYS", "yosys")
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import torch import math def phi2rphi(phi, radius): """ :param phi: in cube [0, 1] ^ d :param radius: R, pi, ..., pi, 2pi :return: r in [0, R], phi_i in [0, pi] for i in [1, d-2], phi_i in [0, 2pi] for i = d-1 """ r = 0.5 * (1 - torch.cos(phi[:, 0:1] * math.pi)) * radius if phi.size(1) > 2: rphi = torch.ca...
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import argparse def parse_args(): """Parse command-line arguments to this script. """ desc = """Build Gaussian process models on wafer data. Expects ./train/ and ./test/ subfolders of current directory to have training and test data for each wafer to predict. """ epilog = """Open-sourced ...
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def mergeDicts(dict1, dict2): """Merge two dictionaries.""" res = {**dict1, **dict2} return res
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import re def cleanup_page_name(title): """make page name from title""" name = title.lower() name = re.sub('[~!@#$%^&*+()<>,."\'\?]', '', name) name = re.sub('[:/]', '-', name) name = '-'.join(name.split()) # replace repeating hyphens name = re.sub(r"(-)\1+", r"\1", name) return name
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import numpy as np import random def get_random_odd_list(n): """ Creates a random list with only one element that occurs an odd number of times :param n: Size of the resulting list :return: N-sized random list with only one element occurring an odd number of times and the odd occurring element ""...
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def dict_keys_lower(d): """list of dictionary keys in lower case""" return list(map(str.lower, d.keys()))
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def expand(x, y, cals, shown, length, width): """ Expand empty position with no bombs surrounded :param x: horizontal position :param y: vertical position :param cals: matrix of numbers :param shown: list of positions shown :param length: length of the board :param width: width of the bo...
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def encrypt(sk, x): #outputs cipher """ Performs the encrypt algorithm for IPE. """ (detB, B, Bstar, group, g1, g2) = sk n = len(x) beta = 1 c1 = [0] * n for j in range(n): sum = 0 for i in range(n): sum += x[i] * Bstar[i][j] c1[j] = beta * sum for i in range(n): c1[i] = g2 ...
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def test_remove_duplicates_from_sorted_matrix(): """ Replace duplicate values of sorted matrix with zeros """ def redup(M): p = None x,y = None,None for i in range(len(M)): for j in range(len(M[i])): if p is not None and M[i][j]==p: M[i][j] = 0 M[x][y] = 0 # Paint ...
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def get_batch_token_embeddings(layer_hidden_states, attention_mask, rm_special_tokens=False): """ remove padding and special tokens Args: layer_hidden_states: (N, L, D) attention_mask: (N, L) with 1 indicate valid bits, 0 pad bits rm_special_tokens: bool, whether to remove special tokens...
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import copy def get_social_config(env): """ Arguments: env: Arena-Blowblow-Sparse-2T2P-Discrete Returns: [[0,1],[2,3]] """ xTxP = env.split("-")[-2] T = int(xTxP.split("T")[0]) P = int(xTxP.split("T")[1].split("P")[0]) policy_i = 0 all_list = [] for t in ran...
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def delete_at(my_list=[], idx=0): """ deletes an element from a list at a given index """ l_len = len(my_list) if idx >= l_len or idx < 0: return (my_list) del my_list[idx] return (my_list)
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import random def create_room(size_x=random.randint(1, 5), size_y=random.randint(1, 5)): """ Creates a rectangular box/room with size_x * size_y floor tiles Requires: size_x, size_y > 0 """ top_bottom_walls = ["# "] * (size_x + 2) inner = ["# "] + ["_ "] * size_x + ["# "] room = [top_bott...
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import random def _get_pin(length=5): """ Return a numeric PIN with length digits """ return random.sample(range(10**(length-1), 10**length), 1)[0]
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def swap_byte_order(arr_in): """Swap the byte order of a numpy array to the native one. Parameters ---------- arr_in : `~numpy.ndarray` Input array. Returns ------- arr_out : `~numpy.ndarray` Array with native byte order. """ if arr_in.dtype.byteorder not in ("=", "...
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def parallel(*items): """ resistors in parallel, and thanks to duck typing and operator overloading, this happens to be exactly what we need for kalman sensor fusion. >>> assert parallel(1.0,2.0) == 1/(1/1.0+1/2.0) """ inverted = [item**(-1) for item in items] return sum(inverted...
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def equatable(cls): """ Adds an __eq__ method that compares all the values in an object's __dict__ to all the values in another instance of that object's dict. Note keys are NOT checked, however types are. Only *identical* types (not subclasses) are accepted. NOTE: this method will also set __hash_...
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def applyToChildren(a, f): """Apply the given function to all the children of a""" if a == None: return a for field in a._fields: child = getattr(a, field) if type(child) == list: i = 0 while i < len(child): temp = f(child[i]) if type(temp) == list: child = child[:i] + temp + child[i+1:] ...
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import re def strip_control_characters(text): """ from http://chase-seibert.github.com/blog/2011/05/20/stripping-control-characters-in-python.html """ if text: # unicode invalid characters RE_XML_ILLEGAL = '([\u0000-\u0008\u000b-\u000c\u000e-\u001f\ufffe-\uffff])' +\ ...
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import configparser import os def get_config(config_path): """Read vaultlocker configuration from config file :param: config_path: path to the configuration file :returns: configparser. Parsed configuration options """ config = configparser.ConfigParser({'kv_version': '1'}) if os.path.exists(...
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from typing import OrderedDict def getIndexedODictLookUp(dictionary:OrderedDict): """ This getter returns a OrderedDict's key value look up. :param dictionary:OrderedDict: given ordered dictionairy """ try: ind= {k:i for i,k in enumerate(dictionary.keys())} return ind excep...
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import math def calculate_edge_weight(subscriber_cnt): """ Keep weights relatively small despite large subscriber disparities """ if subscriber_cnt == 0: log_cnt = 0 else: log_cnt = math.log2(subscriber_cnt) return str(log_cnt)
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def apply_casing_script(lemma: str, casing_script: str): """Applies a casing script to a string. Assumes the string has already been lemmatized. Args: lemma (str) casing_script (str, optional): casing script in string form Returns: str: string with applied casing """ ...
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def determineTranslation(translation,reference_orientation): """ Convert a translation in the world reference frame to a translation in the steroid reference frame. """ return translation*reference_orientation.I
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def is_empty(value: object) -> bool: """ Check if value is None or not empty in case if not None. """ return (value is None) or (not value)
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def replace_multiple(main_string, to_be_replaced, new_string): """replace extra elements in a text string""" for elem in to_be_replaced : if elem in main_string : main_string = main_string.replace(elem, new_string) return main_string
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