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import argparse def make_argument_parser(): """ Creates an ArgumentParser to read the options for this script from sys.argv :return: """ parser = argparse.ArgumentParser( description="Find matches between the real and simulated tiles" ) parser.add_argument('--size', '-S', ...
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def public(*args): """ This decorator identifies which methods should be included in the abi file. """ def public_wrapper(): pass return public_wrapper
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import re def as_string(node): """ We can get a simple string from a node by flattening it to give us a Tree with all string children, then joining those strings. On top of this, we heuristically try to push punctuation back up to the previous token using a regex, so things like "Is this ...
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def normalise_period(val): """Return an integer from 1 to 12. Parameters ---------- val : str or int Variant for period. Should at least contain numeric characters. Returns ------- int Number corresponding to financial period. Examples -------- >>> normalise_...
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def select_in_between_user_login_and_create_profile(): """ it checks the user option recursively till user do not select the valid input. :return: it returns an integer value. """ option = int(input("select your option (1)/(2): ")) if option == 1: return 1 elif option == 2: ...
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from datetime import datetime def humanize_timestamp(utc_timestamp, verbose=False): """ Convert a utc timestamp into a human readable relative-time. """ timedelta = datetime.utcnow() - datetime.utcfromtimestamp(utc_timestamp) seconds = int(timedelta.total_seconds()) if seconds < 60: ...
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import glob def task_pot(): """Re-create .pot .""" return { 'actions': ['pybabel extract -o localization/telbot.pot src'], 'file_dep': glob.glob('src/*.py'), 'targets': ['localization/telbot.pot'], }
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def get_marker(label, chunk): """ Returns marker instance from chunk based on the label correspondence """ for marker in chunk.markers: if label == marker.label: return marker print("Marker not found! " + label) return False
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import os def get_counts(): """return test counts that are set via pyt environment variables when pyt runs the test :returns: dict, 3 keys (classes, tests, modules) and how many tests of each were found by pyt """ counts = {} ks = [ ('PYT_TEST_CLASS_COUNT', "classes"), ...
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def check_default_empty(default): """Helper function to validate if a default parameter is empty based on type""" if isinstance(default, str) or isinstance(default, list): return len(default) == 0 elif isinstance(default, int): return False elif isinstance(default, dict): return ...
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def knight_moves(start): """ Returns a list of positions that are legal knight moves from 'start' on a chessboard that is represented as an list(64) """ rel_pos = [(-1, -2), (1, -2), (-2, -1), (2, -1), (-2, 1), (2, 1), (-1, 2), (1, 2)] res = [] for (x, y) in rel_pos: a...
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import itertools def flatten(iterable): """Reduce dimensionality of iterable containing iterables Args: iterable: A multi-dimensional iterable Returns: A one dimensional iterable """ return itertools.chain.from_iterable(iterable)
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def get_max(current_max, input_score): """ compare two input numbers, and return bigger one. :param current_max: int, the current max score. :param input_score: int, the score just input. :return: int, compare two numbers and return bigger one. """ if current_max != 0 and current_max > input...
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def check_lead_zero(to_check): """Check if a number has a leading 0. Args: to_check (str): The number to be checked. Returns: True if a leading 0 is found or the string is empty, False otherwise. """ if str(to_check) in (None, ''): return True elif str(to_check[0]) != '...
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def dec2bin(x: int, n: int = 2) -> str: """Converts a single decimal integer to it binary representation and returns as string for length >= n. """ return str(int(bin(x)[2:])).zfill(n)
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import math def convert_bytes_to_string(number: int) -> str: """Returns the conversion from bytes to the correct version (1024 bytes = 1 KB) as a string. :param number: number to convert to a readable string :return: the specified number converted to a readable string """ num = number fa...
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def _get_location(location_text): """Used to preprocess the input location_text for URL encoding. Doesn't do much right now. But provides a place to add such steps in future. """ return location_text.strip().lower()
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import fnmatch def _match_in_cache(cache_tree, list_of_names): """ :type cache_tree: defaultdict :description cache_tree: a defaultdict initialized with the tree() function. Contains names of entries in the kairosdb, separated by "." per the graphite convention. :type li...
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import requests def ping(url: str) -> requests.Response: """ Pings the Server on the base url to make sure it's available. """ return requests.get(url)
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def range_intersect(a, b, extend=0): """ Returns the intersection between two reanges. >>> range_intersect((30, 45), (55, 65)) >>> range_intersect((48, 65), (45, 55)) [48, 55] """ a_min, a_max = a if a_min > a_max: a_min, a_max = a_max, a_min b_min, b_max = b if b_min > ...
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import codecs def rot13(s: str) -> str: """ROT-13 encode a string. This is not a useful thing to do, but serves as an example of a transformation that we might apply.""" return codecs.encode(s, "rot_13")
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import sys def bbox_from_polygon(polygon): """Construct a numeric list representing a bounding box from polygon coordinates in numeric list representation.""" minx = sys.maxsize miny = sys.maxsize maxx = -sys.maxsize maxy = -sys.maxsize for xy in polygon: if xy[0] < minx: m...
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from typing import Any def is_numeric_scalar(x: Any) -> bool: """ Returns if the given item is numeric >>> is_numeric_scalar("hello") False >>> is_numeric_scalar("234") True >>> is_numeric_scalar("1e-5") True >>> is_numeric_scalar(2.5) True """ if isinstance(x, (float, ...
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def is_file_image(filename): """Return if a file's extension is an image's. Args: filename(str): file path. Returns: (bool): if the file is image or not. """ img_ex = ['jpg', 'png', 'bmp', 'jpeg', 'tiff'] if '.' not in filename: return False s = filename.split('.')...
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def get_coords(rect): """Takes an np.array with coords of rectangle. Returns max / min height / width """ lw = min(rect[:,0]) uw = max(rect[:,0]) lh = min(rect[:,1]) uh = max(rect[:,1]) return(lw, uw, lh, uh)
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def _get_jgroup(grouped_data): """Get the JVM object that backs this grouped data, taking into account the different spark versions.""" d = dir(grouped_data) if '_jdf' in d: return grouped_data._jdf if '_jgd' in d: return grouped_data._jgd raise ValueError('Could not find a dataf...
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def parse_fasta (lines): """Returns 2 lists: one is for the descriptions and other one for the sequences""" descs, seqs, data = [], [], '' for line in lines: if line.startswith('>'): if data: # have collected a sequence, push to seqs seqs.append(data) da...
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def format_response(event): """Determine what response to provide based upon event data. Args: event: A dictionary with the event data. """ text = "" # Case 1: The bot was added to a room if event['type'] == 'ADDED_TO_SPACE' and event['space']['type'] == 'ROOM': text = 'Thanks ...
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def look_for_obj_by_att_val(my_obj_list, my_att, my_value): """Search for an Obj with an attribute of a given value, for methods that return list of Obj.""" ret_obj = None for my_obj in my_obj_list: if my_att in dir(my_obj): # print(getattr(my_obj, my_att), my_value) if geta...
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def weighted_soft_dice_loss(probs, labels, weights): """ Args: probs: [B, 1, H, W] labels: [B, 1,H, W] weights: [B, 1, H, W] """ num = labels.size(0) w = weights.view(num, -1) w2 = w * w m1 = probs.view(num, -1) m2 = labels.view(num, -1) intersection = m1 * m2...
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def is_bool(obj): """Returns ``True`` if `obj` is a ``bool``.""" return isinstance(obj, bool)
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def files_are_identical(pathA, pathB): """ Compare two files, ignoring carriage returns, leading whitespace, and trailing whitespace """ f1 = [l.strip() for l in pathA.read_bytes().splitlines()] f2 = [l.strip() for l in pathB.read_bytes().splitlines()] return f1 == f2
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import uuid def _maybe_convert(value): """Possibly convert the value to a :py:class:`uuid.UUID` or :py:class:`datetime.datetime` if possible, otherwise just return the value :param str value: The value to convert :rtype: uuid.UUID|datetime.datetime|str """ try: return uuid.UUID(value...
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from typing import List def _poker_convert_shape(data: List[str]) -> list: """Converts card icons into shapes""" return [row.replace("♣", " Clubs").replace("♦", " Diamonds").replace("♥", " Hearts").replace("â™", " Spades") for row in data]
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import pickle def load(name: str) -> object: """load an object using pickle Args: name: the name to load Returns: the unpickled object. """ with open(name, "rb") as file: obj = pickle.load(file) return obj
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def decodeAny(string): """Try to decode the string from UTF-8 or latin9 encoding.""" if isinstance(string, str): return string try: return string.decode('utf-8') except UnicodeError: # decoding latin9 never fails, since any byte is a valid # character there return...
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def clean_text(review, model): """preprocess a string (tokens, stopwords, lowercase, lemma & stemming) returns the cleaned result params: review - a string model - a spacy model returns: list of cleaned tokens """ new_doc = '' doc = model(review) for word in doc: ...
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def regularize(np_arr): """ Project from [0, 255] to [0, 1] :type np_arr: numpy array :rtype: Projected numpy array """ return np_arr/255
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import pkg_resources def python_package_version(package: str) -> str: """ Determine the version of an installed Python package :param package: package name :return: version number, if could be determined, else '' """ try: return pkg_resources.get_distribution(package).version exce...
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def set_extension(path, ext): """Set the extension of file. Given the path to a file and the desired extension, set the extension of the file to the given one. Args: path: path to a file ext: desired extension Return: path with the correct extension """ ext = ext.re...
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import re def get_select_cols_and_rest(query): """ Separate the a list of selected columns from the rest of the query Returns: 1. a list of the selected columns 2. a string of the rest of the query after the SELECT """ from_loc = query.lower().find("from") raw_select_clau...
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import os def check_env_variable_values(environment_variable): """ check environment variable value Parameters --------- environment_variable: str Returns ------- Any """ environment_variable_value = os.getenv(environment_variable) if environment_variable_value is None ...
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def extract_ner(labels, masks=None): """ labels: list return: entities list 根据labels提取一句话中的实体, 并输出实体list """ if masks is None: masks = [1] * len(labels) entities = [] cur_entity = "" for i, (label, mask) in enumerate(zip(labels, masks)): if mask == 0: brea...
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import logging import argparse def logging_level(string): """Convert a string to a logging level""" if string.isdigit(): return int(string) level = getattr(logging, string.upper(), None) if not isinstance(level, int): raise argparse.ArgumentTypeError("invalid log level {}".format(strin...
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def getTableHTML(rows): """ Binds rows items into HTML table code. :param list rows: an array of row items :return: HTML table code with items at rows :rtype: str >>> getTableHTML([["Name", "Radek"], ["Street", "Chvalinska"]]) '<table><tr><td>Name</td><td>Radek</td></tr><tr><td>Street</td><td...
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def build_complement(c): """ The function convert alphabets in input c into certain alphabets. :param c: str, can be 'A','T','G','C','a','t','g','c' :return: The string of converted alphabets. """ c = c.upper() # The Str Class method changes input c into capital. total = '' for i in ran...
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import argparse import logging def arg_parse_params(): """ parse the input parameters :return dict: parameters """ # SEE: https://docs.python.org/3/library/argparse.html parser = argparse.ArgumentParser() parser.add_argument('-o', '--path_out', type=str, required=False, help='path to the outpu...
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def normalise_reward(reward, prev_lives, curr_lives): """ No reward normalisation is required in pong; -1 indicates opponent has scored, 0 indicates game is still in play and 1 indicates player has scored. """ return reward
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import torch def _make_input(t, requires_grad=False, device=torch.device('cpu')): """Make zero inputs for AE loss. Args: t (torch.Tensor): input requires_grad (bool): Option to use requires_grad. device: torch device Returns: torch.Tensor: zero input. """ inp = tor...
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import os def envor(envkey: str, default: str) -> str: """Returns an environment var value, or default. Parameters: envkey (str): An environment variable name. default (str): A default value to return, in case the environment variable ain't defined or have a value. Returns: s...
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import torch def bce_loss(pred, target, false_pos_weight=1.0, false_neg_weight=1.0): """Custom loss function with options to independently penalise false positives and false negatives. """ norm = torch.tensor(1.0 / float(len(pred))) tiny = torch.finfo(pred.dtype).tiny false_neg = torch.sum(tar...
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def bernoulli_kl(q_probs, p_probs): """ computes the KL divergence per batch between two Bernoulli distributions parametrized by q_probs and p_probs Note: EPS is added for numerical stability, see https://github.com/pytorch/pytorch/issues/15288 Args: q_probs (torch tensor): mea...
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def formatGpuCount(gpuCount): """ Convert the GPU Count from the SLurm DB, to an int The Slurm DB will store a string in the form "gpu:1" if a GPU was requested If a GPU was not requested, it will be empty """ if gpuCount: intGpuCount = int("0"+gpuCount.split(":")[1]) return intG...
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import argparse def default_pseudo_arg_parser(): """ Create ArgumentParser for pseudo device. :rtype: argparse.ArgumentParser :return: Default argument parser. """ arg_parser = argparse.ArgumentParser( description="pseudo device main.") # arg_parser.add_argument("-a", "--host", ty...
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from typing import MutableMapping from typing import Any def to_nested_dict(d: dict): """ Converts a flat dictionary with '.' joined keys back into a nested dictionary, e.g., {a.b: 1} -> {a: {b: 1}} """ new_config: MutableMapping[str, Any] = {} for k, v in d.items(): if "." in k: ...
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import os def name(path: str) -> str: """ finds name for file """ name_extension = os.path.basename(path) return name_extension.rsplit(".", 1)[0]
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from typing import Any def validate_boolean(var: Any) -> bool: """Evaluates whether an argument is boolean True/False Args: var: the input argument to validate Returns: var: the value if it passes validation Raises: AssertionError: `var` was not boolean """ assert is...
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def force_slash(x): """convert backslashes to slashes""" return x.replace('\\', '/')
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def simplify_int_labels(int_labels, threshold=5): """ Given a sequence of integer labels, finds out unique labels in repetitions. For example: [0,10,10,10,10,10,10,0,12,12,12,12,12] to [10,12] Args: int_labels: threshold: number of consecutive occurrences before selecting a label. ...
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import re import sys def get_region_tag(sample_file_path): """Extracts the region tag from the given sample. Errors if the number of region tags found is not equal to one. Ignores the *_core tags. """ start_region_tag_exp = r'\[START ([a-zA-Z0-9_]*)\]' end_region_tag_exp = r'\[END ([a-zA-Z0-9_]*)\]' re...
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import functools def or_none(fn): """ Wraps `fn` to return `None` if its first argument is `None`. >>> @or_none ... def myfunc(x): ... return 2 * x + 3 >>> myfunc(4) 11 >>> myfunc(None) """ @functools.wraps(fn) def wrapped(arg, *args, **kw_args): ...
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import os def load_dataset(filename, data_path="data"): """ Load full dataset (all tasks) """ sentences = [] with open(os.path.join(data_path, filename), 'r') as file: file = iter(file) sentence = [] while True: try: line = next(file) exc...
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def start_connection(puzzle, length): """Make connection between words""" connection = [0] * (length ** 2) for i in range(length ** 2): connection[i] = [False] * (length ** 2) for i, j in enumerate(puzzle): if j == '0': continue col, row = i // length, i % length ...
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import os def needbinarypatch(): """return True if patches should be applied in binary mode by default.""" return os.name == 'nt'
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def get_segment_output_path(output_path, muxing_output_path): """ Returns the output path for a stream segment. """ segment_path = muxing_output_path substr = muxing_output_path[0:len(output_path)] if substr == output_path: return muxing_output_path[len(output_path):] return segmen...
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def read_flat_parameters(fname): """Read flat channel rejection parameters from .cov or .ave config file""" try: with open(fname, 'r') as f: lines = f.readlines() except: raise ValueError("Error while reading %s" % fname) reject_names = ['gradFlat', 'magFlat', 'eegFlat', 'e...
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import re import sys def expand_rows( string_in, element_coordinates = [ None, None ] ): """ Expand a P7 row specification to a list of rows. Acceptable row specifications include o single row o B o row range o E-G o single and/or ranges of rows separated by commas o ...
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def get_rectangle_coordinates(win): """ Gets the coordinates of two opposite points that define a rectangle and returns them as Point objects. """ point_1 = win.getMouse() point_2 = win.getMouse() return point_1, point_2
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import calendar def get_days_of_month(year, month): """ 返回天数 """ return calendar.monthrange(year, month)[1]
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def identifyL23(addition): """Check if it is L2 or L3 delta request.""" return 'L3' if 'routes' in list(addition.keys()) else 'L2'
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def find_border_crossing(subset, path, final_state): """ Find the transition that steps outside the safe L{subset}. @param subset: Set of states that are safe. @type subset: C{set} of L{State} @param path: Path from starting state to L{final_state}, sequence of state and its outg...
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def randomize(df, seed): """Randomizes the order of a Pandas dataframe""" return df.sample(len(df), random_state=seed).reset_index(drop=True)
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def clean(df, verbose=False): """Nettoie le tableau de données""" # on supprime les URLs qui ne pointent pas vers le site de la ville if verbose: print("Suppression des URLs : pas sur le site de la ville") print(df.loc[~df["url"].str.contains("marseille.fr"), "url"]) df.loc[~df["url"].st...
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import re def count_expr_arity(str_desc): """ Determine the arity of an expression directly from its str descriptor """ # we start by extracting all words in the string # and then count the unique occurence of words matching "x", "y", "z" or "t" return len(set(var for var in re.findall("\w+", ...
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from numpy import asarray, mean def mean_reciprocal_rank(rs): """Score is reciprocal of the rank of the first relevant item First element is 'rank 1'. Relevance is binary (nonzero is relevant). Example from http://en.wikipedia.org/wiki/Mean_reciprocal_rank >>> rs = [[0, 0, 1], [0, 1, 0], [1, 0, 0]]...
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def attrsetter(attr, value): """ Return a function that sets ``attr`` on its argument and returns it. """ return lambda method: setattr(method, attr, value) or method
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def get_definition_end_position(self): """ The (row, column) of the end of the definition range. Rows start with 1, columns start with 0. :rtype: Optional[Tuple[int, int]] Returns: int: The end position """ if self._name.tree_name is None: return None definition = self._...
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import math def sq_sign(x): """ Squares the magnitude but keeps the sign :param x: :return: """ return math.copysign(x * x, x)
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from typing import Callable def call(func: Callable, **kwargs): """Configurable version of `func(**kwargs)`.""" return func(**kwargs)
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import torch def rmspe_loss(targets: torch.Tensor, predictions: torch.Tensor) -> torch.Tensor: """Root mean square percentage error.""" loss = torch.sqrt(torch.mean(((targets - predictions).float() / targets) ** 2)) return loss
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from pkg_resources import EntryPoint def resolveDotted(dotted_or_ep): """ Resolve a dotted name or setuptools entry point to a callable. """ return EntryPoint.parse('x=%s' % dotted_or_ep).resolve()
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def get_request_header(headers): """ Get all headers that should be included in the pre-signed S3 URL. We do not add headers that will be applied after transformation, such as Range. :param headers: Headers from the GetObject request :return: Headers to be sent with pre-signed-url """ new_h...
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def check_game(board, last_move): """ check if any player has managed to get 3 marks in a row, column or diagonally. :param {String[]} board : current board with marker locations of both players :param {int} last_move : between 1-9 where the most recent marker was put. :return {Boolean} : True if player who play...
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import re def __fix_tz(text: str) -> str: """Overrides certain timezones with more relevant ones""" replacements = { "BST": "+0100", # British Summer Time "IST": "+0530", # Indian Standard Time } for timezone, offset in replacements.items(): text = re.sub(fr"\b{timezone}\b", ...
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def grant_url(focus_area, month): """Use the focus area and donation date information to get the original grant URL.""" fa = { "community-development": 13, "education-youth": 28, "religion": 11, }[focus_area] month_param = month[2:] return f"https://lillyendowment.org/for-cu...
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def parse_srg(srg_filename): """Reads a SeargeRG file and returns a dictionary of lists for packages, classes, methods and fields""" srg_types = {'PK:': ['obf_name', 'deobf_name'], 'CL:': ['obf_name', 'deobf_name'], 'FD:': ['obf_name', 'deobf_name'], 'MD:': ['o...
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import random def choose(bot, trigger): """.choice option1|option2|option3 - Makes a difficult choice easy.""" if not trigger.group(2): return bot.reply('I\'d choose an option, but you didn\'t give me any.') choices = [trigger.group(2)] for delim in '|\\/, ': choices = trigger.group(2)...
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def slkBlocking(rec_dict, fam_name_attr_ind, giv_name_attr_ind, dob_attr_ind, gender_attr_ind): """Build the blocking index data structure (dictionary) to store blocking key values (BKV) as keys and the corresponding list of record identifiers. This function should implement the statistical...
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def caption_from_metadata(metadata): """ converts metadata list-of-lists to caption string which is one antinode per line """ caption = "" for an in range(len(metadata)): [cx, cy, a, b, angle, rings] = metadata[an] #this_caption = "[{0}, {1}, {2}, {3}, {4}, {5}]".format(cx, cy, a, b,...
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from typing import List def primes(max: int) -> List[int]: """ Return a list of all primes numbers up to max. >>> primes(10) [2, 3, 5, 7] >>> primes(11) [2, 3, 5, 7, 11] >>> primes(25) [2, 3, 5, 7, 11, 13, 17, 19, 23] >>> primes(1_000_000)[-1] 999983 """ max += 1 nu...
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def current_user(self): """Get current user""" return self.handler.current_user
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def _get_notebook_outputs(nb_node): """Returns a dictionary of the notebook outputs.""" outputs = {} for cell in nb_node.cells: for output in cell.get('outputs', []): if 'papermill' in output.get('metadata', {}): output_name = output.metadata.papermill.get('name') ...
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def count_jobs(api, name, all=False): """Count how many zapps have already been submitted.""" if all: sched = api.statistics.scheduler() return sched['running_length'] execs = api.executions.list(status='submitted', name=name) execs += api.executions.list(status='queued', name=name) ...
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import torch from typing import Tuple def _split_crossval(xy: torch.Tensor, crossval_count: int, crossval_index: int) -> Tuple[torch.Tensor, torch.Tensor]: """ Generates a split of the given dataset along the first dimension for cross-validation. :param xy: The data that should be split. The split will b...
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from typing import Optional from typing import Any from typing import List from typing import Iterable def as_list(value: Optional[Any]) -> List[Any]: """Normalizes the value input as a list. >>> as_list(None) [] >>> as_list("foo") ['foo'] >>> as_list(123) [123] >>> as_list(["foo", "b...
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from typing import List def get_cell_density(lstfile: str, n_phases: int) -> List[dict]: """ Parse .lst file to get new cell values with errors and density from a refinement. Parameters ---------- lstfile : str Path to GSASII .lst file. n_phases : int Number of phases in the ....
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import re def smooth(text): """Get rid the noise in the wikipedia corpus""" text = re.sub(r"=+(.*)=+", "", text) # remove headers # if it is lists or items, regard their contents as sentenses # (append an extra comma to each) text = re.sub(r"(\*|\#|:|;)+(.*)\n", "\g<2>。\n", text) text = re.su...
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def mcs(G): """Maximum cardinality search. Returns an ordering of the vertices as described in [TY84Simple]. The ordering is not reversed to make sure than G[V[0:i]] is connected. """ n = G.number_of_nodes() sets = [] size = {} ordering = [] orderingDict = {} for v in G.node...
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import time def now(): """ return current time. """ if time.daylight: ttime = time.ctime(time.time() + int(time.timezone) + 3600) else: ttime = time.ctime(time.time() + int(time.timezone)) return ttime
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from unittest.mock import Mock def functions(): """Test for regular function name completion.""" mock_func = Mock() return { "domain.func_1": mock_func, "domain.func_2": mock_func, "helpers.get_today": mock_func, "helpers.entity_id": mock_func, }
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