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from typing import Union from typing import Any from typing import Tuple from typing import Callable import attrs def iter_validator(iter_type, item_types: Union[Any, Tuple[Any]]) -> Callable: """Helper function to generate iterable validators that will reduce the amount of boilerplate code. Parameters ...
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def check_results(results, expected): """ Compare the two MoonLight results dictionaries: one from moonlight_solution.json and the other from the execpted result. """ # Mapping of result keys to their data types keys_to_compare = dict(corpus_size=int, solution_size=int...
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from typing import List import pathlib def filter_file_existence(c: List[str], files: List[pathlib.Path]) -> List[str]: """Filter for files that are not found :param c: list of files to find :type c: List[str] :param files: list of file paths :type files: List[pathlib.Path] :return: list of f...
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def getRow(data, rowIndex): """ Returns the row indicated by rowIndex from data which is assumed to be an array. Assuming that rowIndex will be a value from 0 to length of data - 1 """ return data[rowIndex]
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def count_stair_ways(n): """Count the numbers of ways to walk up a flight of stairs with 'n' steps while taking a maximum of 2 steps at a time >>> count_stair_ways(2) 2 >>> count_stair_ways(3) 3 >>> count_stair_ways(4) 5 >>> count_stair_ways(5) 8 """ """BEGIN PROBLEM 3.1""" ...
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def adjacency(indices, length): """Given a list of indices and length of the output list, Return a list of 1s for adjacencies and 0s for non-adjacencies.""" return [ int(i in indices) for i in range(length) ]
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def split_and_check(s, separator, n): """ Turn string into tuple, checking that there are exactly as many parts as expected. """ parts = s.split(separator) if len(parts) != n: raise ValueError('Failed to parse "{}"'.format(s)) return tuple(parts)
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from datetime import datetime def is_good_time(time: list): """ Возвращает совпадает ли текущее время с временем для публикации :param time: list с временем публикаций :return: bool """ now = datetime.now().strftime('%H:%M') if now in time: return True else: return Fal...
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from typing import Counter from functools import reduce def create_maps(words, tags, min_word_freq=5, min_char_freq=1): """ Creates word, char, tag maps. :param words: word sequences :param tags: tag sequences :param min_word_freq: words that occur fewer times than this threshold are binned as <u...
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def _build_batch_norm_params(batch_norm, is_training): """Build a dictionary of batch_norm params from config. Args: batch_norm: hyperparams_pb2.ConvHyperparams.batch_norm proto. is_training: Whether the models is in training mode. Returns: A dictionary containing batch_norm parameters. """ batc...
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def colWidth(collection, columnNum): """Compute the required width of a column in a collection of row-tuples.""" MIN_PADDING = 5 return MIN_PADDING + max((len(row[columnNum]) for row in collection))
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import sympy def variable (name): """ A convenient frontend to sympy.symbols, except that it escapes commas, so that the single variable name can contain a comma. E.g. 'Y[0,1]'. """ return sympy.symbols(name.replace(',','\\,'))
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def echo(data): """ Just return data back to the client. """ return data
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from typing import Union from typing import List from typing import Any def has_multiple_references(summaries: Union[List[List[str]], List[List[List[str]]]]) -> bool: """ Checks to see if ``summaries`` has multiple references or not by examining the type of the summaries. Each individual summary is repres...
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def calculate_objective(sol, D): """ The objective is the total cost of all routes in VRP solution. D is the full distance matrix of the points in the problem (also includes the depot with index of 0), and solution is a list containing giant tour encoded VRP solution, where 0 indicates a visit to the d...
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def extractNonRunSimple(q, factoryConfig=None): """All NOT Running Glideins: JobStatus != 2 q: dictionary of Glideins from condor_q factoryConfig (FactoryConfig): Factory configuartion (NOT USED, for interface) Returns: dict: dictionary of Not Running Glideins from condor_q """ ...
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from typing import List from typing import Optional def resolve_is_aggregate(values: List[Optional[bool]]) -> Optional[bool]: """ Resolves the is_aggregate flag for an expression that contains multiple terms. This works like a voter system, each term votes True or False or abstains with None. :param...
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def get_indentation(line): """ Returns the leading spaces and/or tabs of a line of text. Preconditions: None @type line: str @rtype: str """ ptr = 0 while ptr < len(line): if line[ptr] != ' ' and line[ptr] != '\t': break ptr += 1 return line[0:ptr]
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import json def dumps(resource): """Serialize to string Parameters ---------- resource : `pyannote.core` data structure Returns ------- serialization : string """ return json.dumps(resource, encoding='utf-8', for_json=True)
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def _parse_line(s): """Parses a line of a requirements.txt file.""" requirement, *_ = s.split("#") return requirement.strip()
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def calculateNetIncome(gross, state): """ Calculate the net income after federal and state tax :param gross: Gross Income :param state: State Name :return: Net Income """ state_tax = {'LA': 10, 'SA': 0, 'NY': 9} # Calculate net income after federal tax net = gross - (gross * .10) ...
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def format_content(article): """ This function takes an Intercom article and formats its content as the HTML we'll use for the Guru card. Because Intercom has some extra fields on its articles, like the # of views, conversations, and counts of user reactions and we don't have these fields in Guru, we displa...
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def main_heading() -> str: """Get index page heading page.""" return 'Video Archive'
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def bfs(graph, start): """ Breadth first search Args: graph (dict): graph start (node): some key of the graph Time: O(|V| + |E|) """ seen = set() path = [] queue = [start] while queue: current = queue.pop(0) if current not in seen: seen.ad...
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def proposed_scaling_both(current, desired): """ identify a single scalar to scale the image by so that it is closer to the desired scaling (fills the space as much as possible) Arguments --------- current : tuple float tuple of current size of svg object desired : tuple fl...
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import unicodedata def normalize_text(text): """ Normaliza um texto para otimizar as buscas. - Remove os acentos. - Remove os traços. - Remove os espaços duplos. - Remove os espaços das extremidades. - Altera o texto para minúsculo. Exemplo: >>> print(normalize_text('São Paul...
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import copy def merge_left_with_defaults(defaults, loaded_config): """ Merge two configurations, with one of them overriding the other. Args: defaults (dict): A configuration of defaults loaded_config (dict): A configuration, as loaded from disk. Returns (dict): A merged confi...
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def hours2days(input_hours): """ Receive the hours and will return ow many days and hours there is in the input """ # Floor division to get the days but not the extra hours days = input_hours // 24 # Modulus to get the left hours after calculating the days hours = input_hours % 24 # Returns tupl...
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def map_raw_ids_to_sequential_ids(samples): """ For each unique user or item id, this function creates a mapping to a sequence of number starting in 0. This will be the index of the embeddings in the model. Items ids will be from 0 to n_items - 1. Users ids will be from n_items to n_items + n_users...
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def detective_rate(statistic, threshold): """ function to calculate detective rate parameters ---------- statistic: statistics of testing data threshold: threshold by the offline data return ------ fault detective rate or false alarm """ ...
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from textwrap import dedent def package_load_instructions(inst_distributions): """Load instructions, displayed in the package notes""" per_package_inst = '' for dist in inst_distributions: if dist.type == 'zip': per_package_inst += dedent( """ # Loadi...
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def solution(A): # O(N) """ Given an array A, multiply each of the values by all of the other values in the array except itself. >>> solution([1, 2, 3, 4, 5]) [120, 60, 40, 30, 24] """ length = len(A) ...
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def _numpy_array_ufunc(ufunc, method): """Trival wrapper for numpy.ufunc""" return getattr(ufunc, method)
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def _get_file_contents(path): """ Gets the contents of a specified file, ensuring that the file is properly closed when the function exits """ with open(path, "r") as f: return f.read()
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from typing import List def list_types() -> List[str]: """ Returns supported item types. """ return ['string', 'boolean', 'integer', 'number', 'file', 'object', 'array']
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def _normalize_mac(mac): """Convert MAC to a well-known format aa:bb:cc:dd:ee:ff.""" if '-' in mac: # pxelinux format is 01-aa-bb-cc-dd-ee-ff mac = mac.split('-', 1)[1] mac = mac.replace('-', ':') return mac.lower()
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def df_binary_columns_list(df): """ Returns a list of binary columns (unique values are either 0 or 1)""" binary_cols = [col for col in df if df[col].dropna().value_counts().index.isin([0,1]).all()] return binary_cols
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def diff_nomod(ctx): """Get the unmodded difficulty values of a map.""" return { "cs": ctx.beatmap.diff_size, "ar": ctx.beatmap.diff_approach, "od": ctx.beatmap.diff_overall, "hp": ctx.beatmap.diff_drain, "sr": ctx.beatmap.difficultyrating, "bpm": ctx.beatmap.bpm,...
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def count_from_1(index, collection): """Numbering function: consecutive integers starting at 1.""" return index + 1
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def te_exp_minus1(posy, nterm): """Taylor expansion of e^{posy} - 1 Arguments --------- posy : gpkit.Posynomial Variable or expression to exponentiate nterm : int Number of non-constant terms in resulting Taylor expansion Returns ------- gpkit.Posynomial Taylor ...
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import json import csv from bs4 import BeautifulSoup def read_file(path, mode="default"): """Open a file and return its content (parsed if possible) :param path: (abs) path to the file :param mode: "default|json" :type path: str :type mode: str :return: content of the file :rtype: str or d...
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def get_line(merged_vcf): """Build a list of relevant data to be printed. Args: merged_vcf (dict): an object from project merge VCF response Returns: str: tab delimited list of relevant data to be printed """ return "\t".join( [ str(merged_vcf.id), m...
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def pprint(l): """Pretty print Parameters: l (list/float/None): object to print Returns: pretty print str """ if isinstance(l, list): if len(l) == 0: return None else: if l == None: return None else: return '%.2f' % l
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def vec(X, order='F'): """Returns the vectorization of X. Columns of X are stacked. (The opposite of X.flatten()).""" assert X.ndim == 2, 'vec operator requires a matrix.' return X.flatten(order=order)
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def to_dict(sequences, key_function=None) : """Turns a sequence iterator or list into a dictionary. sequences - An iterator that returns SeqRecord objects, or simply a list of SeqRecord objects. key_function - Optional function which when given a SeqRecord returns a uni...
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def has_children(elem): """Check if elem has any child elements.""" if type(elem) == list: return True try: for child in elem: if type(child) == list: return True except TypeError: return False return False
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def ip_range(network): """Return tuple of low, high IP address for given network""" num_addresses = network.num_addresses if num_addresses == 1: host = network[0] return host, host elif num_addresses == 2: return network[0], network[-1] else: return network[1], networ...
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def sorted_completions(completions): """Sort completions case insensitively.""" return list(sorted(completions, key=lambda x: x[0].lower()))
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def relu_p(z): """ Computes the gradient of the relu for a given numpy array. """ result = z result[result <= 0] = 0 result[result > 0] = 1 return result
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import ipaddress def _calculate_address_pool(addrmask, ipv6=False): """ Return a pool of addresses contained in the network. @param addrmask: Network in IP/mask format. @return: A list of ip addresses """ if ipv6: netobj = ipaddress.IPv6Network(addrmask, strict=False) else: ...
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def get_extension(t_path): """ Get extension of the file :param t_path: path or name of the file :return: string with extension of the file or empty string if we failed to get it """ path_parts = str.split(t_path, '.') extension = path_parts[-1:][0] extension = extension.lower() re...
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def line_list(filename): """(Internal) Returns a list of tuples (indentation-level, line) one for every line Empty lines, comments and extra whitespace are striped out. Indents are expected to be 4 spaces. :param filename: Path of the asl file name (may be relative or absolute). :type filename: st...
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def matches(item, *, plugins=None, subregions=None): """ Checks whether the item matches zero or more constraints. ``plugins`` should be a tuple of plugin classes or ``None`` if the type shouldn't be checked. ``subregions`` should be set of allowed ``subregion`` attribute values or ``None`` if...
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from typing import Counter def bag_jaccard(x, y): """ Jaccard similarity measure between two multisets (bags) :param x: list of words (strings) for the first sentence :param y: list of words (strings) for the second sentence :return: similarity score between two sentences """ if len(x) == ...
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import logging def run_flushdb(redis_con): """ Purpose: Run Redis FlushDB Command. Will clear all keys and values from the Redis Database (good for clearing cache when redis is used as a caching solution) Args: redis_con (Redis StrictRedi...
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def text_remove_empty_lines(text): """ Whitespace normalization: - Strip empty lines - Strip trailing whitespace """ lines = [ line.rstrip() for line in text.splitlines() if line.strip() ] return "\n".join(lines)
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def get_exponent(number, base): """If number = base**k, returns k. Else returns None """ if number <= 1: return 0 k = 0 if base > 1: while number % base == 0: number /= base k += 1 return k if number == 1 else None
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import re def snake(s): """ snake cases ``s`` :param str s: :return: str """ # insert a space before each uppercase character preceded by a # non-uppercase letter s = re.sub(r'(?<=[^A-Z])\B([A-Z])', r' \1', s) # lowercase everything, split on whitespace and join return '_'.join(s....
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def calc_control(num): """ Рассчитывает контрольное число кода EAN-13. Цифры набора нумеруются справа налево. Подсчитываются суммы цифр, стоящих на четных и нечетных местах. Сумма цифр, стоящих на четных местах, суммируется с утроенной суммой цифр, стоящих на нечетных местах. Если цифра единиц ...
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from typing import Counter from functools import reduce def merge_raw_vocabs(*raw_vocabs: Counter) -> Counter: """ Merges multiple raw vocabularies into a single one. :param raw_vocabs: Raw vocabularies. :return: Merged raw vocabulary. """ raw_vocab = reduce(lambda c1, c2: c1 + c2, raw_vocabs...
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import re def is_valid_ttl(ttl): """Check that ttl value is valid (ie. positive signed 32 bit number)""" if len(ttl) == 0: return False match = re.search(r"[^0-9]", ttl) if match is not None: return False value = int(ttl) if not (0 <= value < 2 ** 31): return False ...
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from typing import List def generate_gmt_file(output_file: str, gene_sets: List) -> str: """ Generate a GSEA gmt file :param output_file: name of output file :param gene_sets: list of gene sets; each entry is (gene_set_name, gene_set_origin, list of gene symbols) :return: """ with open(out...
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def read_contents(file_path): """Reads the contents of file_path without decoding.""" with open(file_path) as fin: return fin.read()
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import re def extract_md5_from_text(text): """ extract base-128 hash from string Args: text(str): string output from gsutil command Returns: hash(str) or None """ m = re.search("[0-9,a-f]{32}", text.lower()) if m: return m.group(0) else: return None
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def is_float4x4(items): """Verify that the sequence contains 4 sequences of each 4 :obj:`float`. Parameters ---------- items : iterable The sequence of items. Returns ------- bool """ return ( len(items) == 4 and all( len(item) == 4 and ...
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def create_set_state_payload(context: str, state: int): """Create and return "setState" dictionary to send to the Plugin Manager. Args: context (str): An opaque value identifying the instance's action you want to modify. state (int): A 0-based integer value representing the state of an action w...
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def from_date(val): """escape a python datetime.date""" return val.strftime("'%Y-%m-%d'")
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import glob def _get_header_files(include_dirs): """Return a list of all extra headers to include in checks.""" headers = [] for path in include_dirs: headers += glob.glob(path + "/**/*.h", recursive=True) headers += glob.glob(path + "/**/*.hh", recursive=True) headers += glob.glo...
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def areaRectangulo(base, altura): """Function that finds the area of a rectangle given its width and height Args: base (float): the value for the width of the rectangle altura (float): the value for the height of the rectangle Returns: float: The area of the rectangle """ r...
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def tuple_incr(t1, idx, val=1): """Return a tuple with the index idx incremented by val""" return t1[:idx] + (t1[idx]+val,) + t1[idx+1:]
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def getInputShape(model): """ Gets the shape when there is a single input. Return: Numeric dimensions, omits dimensions that have no value. eg batch size. """ s = [] for dim in model.input.shape: if dim.value: s.append(dim.value) ...
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def seq_del(s, i): """ Returns a new sequence with i missing. Mysteriously missing from the standard library. """ return s[:i] + s[i+1:]
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def path_sequence(list_of_links, source, target): """ Convert set of tuples representing path in random order to a path :param list_of_links: set of tuples representing path :param source: source node :param target: destination node :return: pretty path as sequence of nodes """ pretty_p...
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def ascii_to_bit(ascii_string: str) -> str: """ Converts a given string of ASCII chars to a string of bits. :param ascii_string: :return: """ result = bin(int.from_bytes(ascii_string.encode(), 'big')) result = result[2:] # We don't want this '0b' at the beginning. while len(result) % 8 !...
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from typing import Any def _get_ending_line(expr: Any) -> int: """Get the ending line number of a Python expression This method gets the final line number of a (possibly-multiline) Python expression. Args: expr (ast.AST): a Python expression object Returns: int: the line number ...
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from pathlib import Path def baddir(path: Path) -> bool: """ tells if a directory is not a Git repo or excluded. A directory with top-level file ".nogit" is excluded. Parameters ---------- path : pathlib.Path path to check if it's a Git repo Results ------- bad : bool ...
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def file_open(*args, **kwargs): """Open file see built-in open() documentation for more details Note: The reason this is kept in a separate module is to easily be able to provide a stub module that doesn't alter system state at all (for unit tests) """ return open(*args, **kwar...
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def is_409(item): """Return True if the item has a status_code of 409 (conflict). Return TypeError if item doesn't have a status_code. """ if hasattr(item, "status_code"): return (True, "Conflict") if item.status_code == 409 else False return TypeError("is_409 cannot check item with mi...
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def index_gen(length): """returns a callable Parameters ---------- length : int length of series of integers to generate Returns ------- callable Notes ----- When invoked with an int, returns all indices except that provided. The result can be used with a numpy.tak...
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def is_within_interval(value, min_value=None, max_value=None): """ Check whether a variable is within a given interval. Assumes the value is always ok with respect to a `None` bound. If the `value` is `None`, it is always within the bounds. :param value: The value to check. Can be ``None``. :pa...
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import ast def convert(val): """Convert input to interpreted data type. :param val: value to be interpreted :returns: interpreted value """ try: return ast.literal_eval(val) except BaseException: pass return val
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def get_one_of(object, attribs): """Try to get the first one of attribs.""" for a in attribs: v = getattr(object, a, None) if v: return v
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def parse_header(line): """Parse output of tcpdump of pcap file, extract: time date ethernet_type protocol source ip source port (if it exists) destination ip destination port (if it exists) length of the data """ ret_dict = {} ...
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def camel_to_snake(s: str) -> str: """Converts "CamelCase" to "snake_case".""" return "".join(f"_{c}" if c.isupper() else c for c in s).strip("_").lower()
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def shift_cftime_index(xobj, time_string, n, freq): """Shifts a ``CFTimeIndex`` over a specified number of time steps at a given temporal frequency. This leverages the handy ``.shift()`` method from ``xarray.CFTimeIndex``. It's a simple call, but is used throughout ``climpred`` so it is documented here...
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import binascii def hex_to_sha(hex): """Takes a hex sha and returns a binary sha""" assert len(hex) == 40, "Incorrect length of hexsha: %s" % hex try: return binascii.unhexlify(hex) except TypeError as exc: if not isinstance(hex, bytes): raise raise ValueError(exc.a...
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def get_mode_count(df): """ Computes the mode and the count of the mode from an array. Args: df - data fram with ONE column Returns: df_mode - mode of the column df_mode_count - count for that mode """ # calculate the mode and its count from the input data fram (with one column) ...
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def get_stop_times(feed, date=None): """ Return a subset of ``feed.stop_times``. Parameters ---------- feed : Feed date : string YYYYMMDD date string restricting the output to trips active on the date Returns ------- DataFrame Subset of ``feed.stop_times`` ...
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def get_pycache(source, names): """ gets all `__pycache__` directories available in names. :param str source: source directory of contents. :param list[str] names: name of all contents in source. :rtype: list[str] """ return [name for name in names if '__pycache__' in name]
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def doubles(counts): """Returns count of double occurrences.""" return (counts==2).sum()
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import json def load_json(path): """Loads a JSON file and returns the data. Args: path: (str) a file path. Returns: (dict) the parsed data. """ with open(path, 'r') as fp: ret = json.load(fp) return ret
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def removekey(d, key): """This functions returns a copy of a dictionnary with a removed key Parameters: d (dict): dictionnary key: the key that must be deleted Returns: copy of dictionnary d without the key """ r = dict(d) del r[key] return r
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def str2ascii(string: str) -> list: """Convert a string to a list of ascii-codes""" return [ord(i) for i in string]
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import csv def read_csv(input_file): """ Read a csv as dict Return participant dict with paired_site """ participant = {} with open(input_file) as csv_file: reader = csv.DictReader(csv_file) try: for row in reader: if row["paired_site"] == "" or row["paire...
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def compute_avg_headway(headways): """ Compute the average headways from the sum of all trips with the specified headways. :param headways: (list of int) list of headways """ if not headways: return 0 frequency = sum([1 / headway for headway in headways]) return 1 / frequency
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def get_basename(filename, extention): """ Get basename for a file contains format extension. :param filename: (string) filename/path :return: basename of a file without path or extension """ if extention in filename: filename = filename.split("/")[-1] base = filename.replace(ext...
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import six def quote(s, *args): """Return quoted string even if it is unicode one. :param s: string that should be quoted :param args: any symbol we want to stay unquoted """ s_en = s.encode('utf8') return six.moves.urllib.parse.quote(s_en, *args)
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def extract_version(txt): """This function tries to extract the version from the help text of any program.""" words = txt.replace(",", " ").split() version = None for x in reversed(words): if len(x) > 2: if x[0].lower() == "v": x = x[1:] if "." in x an...
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def test_module(client): """ Returning 'ok' indicates that the integration works like it is supposed to. Connection to the service is successful. Args: client (Client): instance of the Client class Returns: 'ok' if test passed, anything else will fail the test. """ try: ...
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def flatten_dict(nested_dict, sep=None): """ flatten_dict flattens a dictionary, The flattened keys are joined using a separater which is default to '__'. :param nested_dict: input nested dictionary to be flattened. :type nested_dict: dict :param sep: seperator for the joined keys, defaults to...
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