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def overlaps(s1, e1, s2, e2): """ Check if two start/end ranges have overlap :param `s1`: range 1 start :type `s1`: int :param `e1`: range 1 end :type `e1`: int :param `s2`: range 2 start :type `s2`: int :param `e2`: range 2 end :type `e2`: int :return: True if ranges overl...
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def compareConfigs(name, c1, c2, shortcut=True, rtol=1E-8, atol=1E-8, output=None): """ Helper function for Config.compare; used to compare two Configs for equality. If the Configs contain RegistryFields or ConfigChoiceFields, unselected Configs will not be compared. Floating point comparisons...
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def pyAttrName2XmlAttrName(key): """ The @pyAttrName2XmlAttrName@ converts the Python XML attribute name @key@ to an appropriate XML attribute identifier. If the *key* is 'cssClass' then it is translated into 'class'. If an HTML5 attribute *data_xxxx* is used, then change that to *data-xxxx*. ""...
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def get_images_helper(request, images): """ Helper method for gathering an object's list of images and formatting them along with their corresponding types. Parameters: request : Request object from the serializer instance. images : Queryset of image objects connected to the Object ...
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def find_authorization_in_db(user_id, users_collection): """Queries the db to find authorization of the given user.""" first_user = users_collection.find_one({'user_id': user_id}) if first_user is None: # user not found return False authorized = first_user.get('is_organizer') return bool(au...
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def celciusToFarenheit(celcius): """ Convert a temperatur in Celcius to Farenheit """ if celcius is None: return None else: return float(celcius) * 1.8 + 32.0
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def decimal2dms(decimal_degrees): """ Converts a floating point number of degrees to the equivalent number of degrees, minutes, and seconds, which are returned as a 3-element list. If 'decimal_degrees' is negative, only degrees (1st element of returned list) will be negative, minutes (2nd element) a...
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def frame_ranges_to_string(frames): """ Take a list of numbers and make a string representation of the ranges. >>> frame_ranges_to_string([1, 2, 3, 6, 7, 8, 9, 13, 15]) '[1-3, 6-9, 13, 15]' :param list frames: Sorted list of frame numbers. :return: String of broken frame ranges (i.e '[10-14, 16, 20-25]'). """ ...
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import zlib def bytes_to_zlib(bytes_data): """ Compress a bytes array """ return zlib.compress(bytes_data)
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def get_short_uuid(uuid): """get the first block of a 4-word UUID to use as a short identifier""" full_uuid = str(uuid) return full_uuid.split('-', 1)[0]
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def is_go_source(view, point=None): """Return True if the given view contains Go source code. :param sublime.View view: View containing the code to be formatted. :returns: bool """ if point is None: point = view.sel()[0].begin() return view.score_selector(point, 'source.go') > 0
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def is_negatively_charged_oxygen(atom_name, resname): """ Determine whether the oxygen atom of interest is either negatively charged (usually a carboxyl group or sulfate/phosphate), or has a lone pair (and no hydrogen atom) that would similarly repel anions. Parameters ----------- atom_name : str resna...
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import json import errno def write_config_file(path, config): """Writes the specified configuration to the specified file.""" contents = json.dumps(config, indent=4, separators=(',', ': ')) + '\n' try: with open(path, 'w') as f: f.write(contents) return True except IOError ...
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def create_reference_lookup_df(df): """Return a dataframe indexed by task_id for looking up the reference.""" df = df[df['tag'] == 'reference'] df.drop_duplicates(subset=['task_id'], inplace=True) df.set_index('task_id', verify_integrity=True, inplace=True) return df
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def action_traffic_permitted(env, state, action): """ Return True if action is permitted in terms of firewall traffic """ if action.is_scan(): return True network = env.network service = action.service dest = action.target[0] # add 0 since 0 = internet compromised_subnets = s...
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def find_multilines(config_text): """ Parses condor config file looking for multiline entries Args: config_text: string, contents of a condor configuration file Returns: multi: dictionary. keys are first line of multi line config values are the rest of the multi ...
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from typing import List def get_effective_lindbladian_object_names() -> List[str]: """Return the list of valid effective-lindbladian-related object names.""" names = [] names.append("hamiltonian_vec") names.append("hamiltonian_mat") names.append("effective_lindbladian_mat") names.append("effec...
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import re def tokenize(library): """ Function that takes a string of text a tokenizes it. The text is returned tokenized. """ # Make sure all words are written with lower cases library = library.lower() # Remove non-alphabetic characters tokenizer = re.compile(r"\W+") # tokenize ...
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def sign_string(value): """ Return a string representing the sign of a numerical value, "+" for positive, "-" for negative, and "+/-" for 0. :param value: A numerical value. :return: The sign of that value as a string. """ return "+" if value > 0 else "-" if value < 0 else "+/-"
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import requests from bs4 import BeautifulSoup def url2bs(url: str): """ HTTP GET response text with the url to a BeautifulSoup object parsed with lxml. :param url: URL. :return: BeautifulSoup object. """ try: response = requests.get(url) result = BeautifulSoup(response.text, 'l...
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def agenda_width_scale(filter_categories, spacer_scale): """Compute the width scale for the agenda filter button table Button columns are spacer_scale times as wide as the spacer columns between categories. There is one fewer spacer column than categories. """ category_count = len(filter_catego...
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from typing import List def encode(obs: List[int], spaces: List[int]) -> int: """ Encode an observation from a list of gym.Discrete spaces in one number. :param obs: an observation belonging to the state space (a list of gym.Discrete spaces) :param spaces: the list of gym.Discrete spaces from where th...
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import re def num_in_str(lst: list) -> list: """Create a list of strings that have numbers in it.""" return [i for i in lst if re.search(r"\d", i)]
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import re def clean_genre(df): """ Clean genre by reducing multiple genres to singular genre. Parameters ---------- df : pd.DataFrame A data frame with a column of movie genres. Returns ------- df : pd.DataFrame A modified data frame with grouped genres. """ ...
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import base64 def base64解码(data): """ 将base64字符串 解码为 bytes 字节集 """ return base64.b64decode(data)
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def trackSpeeds_to_bodyFixed(right_track_speed, left_track_speed, track_width): """ Function maps speeds for individual skid-steering tracks to the body-fixed velocity and angular velocity Arguments: right_track_speed - speed of the right track left_track_speed - speed of left track ...
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def chunk(lst, n_chunks): """ https://stackoverflow.com/questions/2130016/ splitting-a-list-into-n-parts-of-approximately-equal-length Parameters ---------- lst : list n_chunks : int Returns ------- list chunked list """ k, m = divmod(len(lst), n_chunks) re...
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def convert_lon(lon): """Convert a single longitude value to a floating point number. Input longitude can be string or float and in -135, 135W, 225 or 225E format. Output longitude lies in the range 0 <= lon <= 360. """ lon = str(lon) if 'W' in lon: deg_east = 360 - floa...
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def crop_from_quad(quad): """Return (left, top, right, bottom) from a list of 4 corners.""" leftmost = min([corner[0] for corner in quad]) topmost = min([corner[1] for corner in quad]) rightmost = max([corner[0] for corner in quad]) bottommost = max([corner[1] for corner in quad]) return (leftmo...
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import textwrap def reflow(text, width, protect): """Reflow the given `text` with line width `width` Return unchanged `text` if `protect` is True. """ if protect: return text else: dedented_text = textwrap.dedent(text.strip()) wrapped_text = textwrap.fill( dede...
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def array(fr): """ Return a Numpy array for input frame or Numpy array. Parameters ---------- fr : Frame, or 2D ndarray Input frame or Numpy array Returns ------- data : ndarray Data array """ try: return fr.get_data() except AttributeError: ...
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import getopt def get_command_line_args(argv): """ Gets the command line arguments which are: Returns ------- pm_model (str) - The PowerModels.jl power model e.g. "DCPPowerModel" pm_solver (str) - The solver to use, e.g. "juniper", "gurobi" grid_name (str) - optional if you only want to c...
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import collections import csv def read_dataset(dataset_path): """ Returns a tuple of three dicts. The gloss data is a {gloss: [[lang, trans, segments, cog_class],]} dict. The concepticon data is a {gloss: global_id} dict. The ISO codes data is a {lang: iso_code} dict. """ data = collections.defaultdict(list) g...
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def polevl(x, coefs, n): """ Evaluate polynomial of degree n. :param x: polynomial variable :type x: float :param coefs: polynomial coefficients :type coefs: list :param n: degree :type n: int :return: result as float """ ans = 0 power = len(coefs) - 1 for coef in co...
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def reset_key_secret(api, configuration, api_version, api_exception, key_id): """ Resets the secret of an API key. :param api: The Deep Security API modules. :param configuration: Configuration object to pass to the api client. :param api_version: The version of the API to use. :param api_exception...
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import requests def url_ok(url): """ Checks that a given URL is reachable. :param url: A URL :rtype: bool """ return requests.head(url).ok
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from typing import Union from typing import Any from typing import Sequence def supports_iteration(value: Union[Any, Sequence[Any]]) -> bool: """Returns ``True`` if the ``value`` supports iterations.""" try: for _ in value: return True except TypeError: pass return False
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import requests def fetch_idol(idx): """Fetch data for a single idol.""" r = requests.post('https://www.produce101event.com/entry_info.php', data={'idx': idx}) r.raise_for_status() idol_data = r.json() if idol_data['result'] == 'success' and idol_data['name']: return idol_data else: ...
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from dateutil import tz def local_time(dt): """ Convert a datetime.datetime object to a timezone-aware datetime.datetime in the users local timezone. :param dt: A datetime.datetime object. :returns: A timezone-aware datetime.datetime object in the users local timezone. """ i...
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def from_datastore(entity): """Formats data from datastore Datastore typically returns: [Entity{key: (kind, id), prop: val, ...}] This returns: [ name, description, pageCount, author, review ] """ if not entity: return None if isinstance(entity, list): entity = ...
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import math def round_sample(input_dataframe, frac=0.1, min_samples=1): """Sample X ensuring at least min samples are selected.""" num_samples = max(min_samples, math.floor(len(input_dataframe) * frac)) return input_dataframe.sample(num_samples)
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import time def time_sorting(sort_fxn, data): """ Record the run times for each run of a sorting function :param sort_fxn: The sort function of form sort_fxn(vec) to call :param data: A list of vectors to sort :returns: A list of run times to sort each element in data """ ...
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def caffe_compute(transformed_image, caffe_net=None, output_layers=None): """ Run a Caffe network on an input image after preprocessing it to prepare it for Caffe. :param PIL.Image pimg: PIL image to be input into Caffe. :param caffe.Net caffe_net: A Caffe network ...
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def kstairs(n, k): """Give the number of ways to take n steps, given that at each step, you can choose to take 1, 2, ... k-2, k-1 or k steps. >>> kstairs(5, 2) 8 >>> kstairs(5, 5) 16 >>> kstairs(10, 5) 464 """ if n == 0: return 0 if n <= k: return 2**(n-1) ...
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def bin_names_to_coords_filepath(query_bin, ref_bin, results_dir): """ prepare a file path for results :param query_bin: bin number 1 name/filepath (reference sequence) :param ref_bin: bin number 2 name/filepath. (query sequence) :return:string like Acidovora-69x_Ga0081644_to_Acidovorax-79_Ga008165...
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from typing import Tuple import re def parse_hp_condition(hp_condition: str) -> Tuple[int, int, str]: """ HPと状態異常を表す文字列のパース :param hp_condition: '50/200' (現在HP=50, 最大HP=200, 状態異常なし) or '50/200 psn' (状態異常の時) :return: 現在HP, 最大HP, 状態異常('', 'psn'(毒), 'tox'(猛毒), 'par', 'brn', 'slp', 'frz', 'fnt'(瀕死)) "...
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from typing import List from typing import Dict def dictify(data, keys: List, val: Dict) -> Dict: """Turns a flat :class:`NodeTree` dictionary into a nested dictionary. Helper function to generate nested dictionary from list of keys and value. Calls itself recursively. Arguments: data (...
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def normalize(x, min_x, max_x): """ Goal of this function is to normalize passed data given the min and max of the data to fit in 0 - 1 :param x: Array Like structure: The data to be normalized :param min_x: Float like: The minimum of the data set :param max_x: Float like: The maximum of the data set :return: A...
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import textwrap import html def pretty_text(data): """Unsescape the html characters from the data & wrap it""" if data is not None: return textwrap.fill(html.unescape(html.unescape(data)), width=60) else: return ""
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def count_recursive(contents_per_bag, bag_list): """ Count number of nested bags from the given list :param contents_per_bag: per-bag mapping :param bag_list: list of bag to inspect :return: number of bags """ nested_bag_qty = 0 for bag in bag_list: nested_bag_qty += 1 ...
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def sort_list(doc_name: str, *vart): """Checks if a string contains the identifiers in vart. If it does return the initial string, if not return None.""" for var in vart: if var.lower() in doc_name.lower() and "(old" not in doc_name and "~" not in doc_name: return doc_name
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def from_homogeneous(vectors, at_infinity): """Converts vectors from homogeneous (from point or direction).""" if at_infinity: return vectors[:-1,...] else: divided = vectors / vectors[-1,...] return divided[:-1,...]
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def rotl(x, count): """Rotates the 64-bit value `x` to the left by `count` bits.""" ret = 0 for i in range(64): bit = (x >> i) & 1 ret |= bit << ((i + count) % 64) return ret
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from typing import Union import re def _header_line(line: str) -> Union[None, tuple]: """ If it is detected as header line, returns its header level and caption. Otherwise returns `None`. """ m = re.match(r"^(#+)(.+)", line) if m: level = len(m.group(1)) caption = m.group(2) ...
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from typing import Optional import re def get_nb_query_param(nb_url_search: str, param: str) -> Optional[str]: """ Get a url query parameter from the search string. Parameters ---------- nb_url_search: str The URL search string param: str The parameter name to search for ...
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def MinMaxAvg(data): """ Given a list of values, the MIN/MAX/AVG value is returned in a Dictionary :param data: List of data of the same kind :type data: int[] or float[] :returns: a dictionary { 'min':min,'max':max,'avg':average } :rtype: dictionary .. seealso:: Stats """ min_val = data[0]...
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from pathlib import Path def read_html_file(file_path): """Reads the contents of an HTML file.""" html_file = Path(file_path) if html_file.exists() and html_file.is_file(): with html_file.open() as temp_file: contents = temp_file.read() return contents return None
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def rsa_encrypt(data: int, e: int, n: int) -> int: """ encrypt data with the rsa cryptosystem (rsa_fernet_encrypt is more secure and supports more data) :param data: the plaintext :param e: public key (e) of the other person :param n: public key (n) of the other person :return: the ciphertext ...
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from typing import List def is_armstrong(number: int) -> bool: """Return True if the given number is an armstrong number.""" digits = list(map(int, str(number))) exponent = len(digits) powers: List[int] = [base ** exponent for base in digits] return sum(powers) == number
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def quote_identifier(identifier, sql_mode=""): """Quote the given identifier with backticks, converting backticks (`) in the identifier name with the correct escape sequence (``) unless the identifier is quoted (") as in sql_mode set to ANSI_QUOTES. Args: identifier (str): Identifier to quote. ...
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from typing import Counter import re def build_wordlist(input_file): """Build a wordlist Counter from lines of the corpus file""" wordlist = Counter() for line in input_file: words = re.findall(r'\w+', line) wordlist.update(words) return wordlist
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def check_max_amplitude(st, min=5, max=2e6): """ Checks that the maximum amplitude of the traces in the stream are ALL within a defined range. Only applied to counts/raw data. Args: st (obspy.core.stream.Stream): Stream of data. min (float): Minimum amplitude for...
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def _calc_corr(dbal, benchmark_dbal, window): """ Calculate the rollowing correlation between two returns. Parameters ---------- dbal : pd.Series Strategy daily closing balance indexed by date. benchmark_dbal : pd.Series Benchmark daily closing balance indexed by date. windo...
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def iben_tutukov1984(history, al=1): """ CE formalism from `Iben & Tutukov 1984, ApJ, 284, 719 <https://ui.adsabs.harvard.edu/abs/1984ApJ...284..719I/abstract>`_ Required history parameters: - star_1_mass - star_2_mass - he_core_mass - binary_separation :param histo...
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def _count_words(text): """ Count words in a piece of text. """ if isinstance(text, (list, tuple)): text = "\n".join(text) return len(text.split()) if text else 0
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def parse_monitors(monitors): """ Given a list of dictionaries, returns a list of hosts that can be used in an ansible inventory. These host lines can include host variables as well. For example, monitors in this format:: [ {"host": "mon0.host", "interface": "eth0"}, ...
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def jump_stats(previous_jumps, chute_altitude): """Compare altitude when chute opened with previous successful jumps. Return the number of previous jumps and the number of times the current jump is better. """ n_previous_jumps = len(previous_jumps) n_better = sum(1 for pj in previous_jumps if c...
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from operator import xor def detect_secstruct_clash(i, j, secstruct): """ Detect if an EC pair (i, j) is geometrically impossible given a predicted secondary structure Based on direct port of the logic implemented in choose_CNS_constraint_set.m from original pipeline, lines 351-407. Use ...
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def gauss_sum(n): """Calculate sum(x for x in range(1, n+1)) by formula.""" return n * (n + 1) // 2
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def _is_mobi(file_bytes: bytes) -> bool: """ Decide if a file is a MOBI/AZW3 file. From ./se/vendor/kindleunpack/mobi_sectioner.py lines 49-53 """ return file_bytes[:78][0x3C:0x3C+8] in (b"BOOKMOBI", b"TEXtREAd")
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def remove_empty(rec): """ Deletes sequences that were marked for deletion by convert_to_IUPAC """ for header, sequence in rec.mapping.items(): if all(char == 'X' for char in sequence): rec.headers.remove(header) rec.sequences.remove(sequence) rec.update() return rec
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def get_y_for_x(x: float, gradient: float, y_intercept: float) -> float: """ Linear equation, y = mx + c """ return (x * gradient) + y_intercept
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import math def regularize(data): """Converts every non-numerical list value to zero which is useful for analysis later.""" for index, val in enumerate(data): if math.isinf(val) or math.isnan(val): data[index]=0 return data
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from typing import List def padding_list(someList: List[str], N: int) -> List[str]: """Padding the list with <s> at the front and </s> behind Args: someList (List[str]): The list to be padded with N (int): The amount of <s>, </s> to be padded Returns: List[str]: Padded list "...
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def check_non_ascii(line): """Checks if a line contains a non ascii chars Params: line (unicode) Returns: true if line does not contain non ascii chars """ try: line.encode('ascii') return True except UnicodeEncodeError: return False
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def az_rate(val): """Convert an integer value to a floating point angular rate.""" return val * 90. / 2**16
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def getelasticpublicip(ip): """Gets the PublicIp address of the Elastic IP Address""" return ip["PublicIp"]
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def commands(ctx): """ Returns a string of Rimworld specific commands Parameters: ctx: The context of the message Returns: str: The list of commands """ response = '' response = 'Rimworld Commands: !item, !event, !iteminfo, !eventinfo, !mods' return response
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def add_timeout_arg(parser): """Add the timeout argument to a parser""" def _validator(val): """Validate acceptable inputs for the timeout of the function""" error = 'Value for \'timeout\' must be an integer between 10 and 900' try: timeout = int(val) except ValueErro...
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def remove_dul(entitylst): """ Remove duplicate entities in one sequence. """ entitylst = [tuple(entity) for entity in entitylst] entitylst = set(entitylst) entitylst = [list(entity) for entity in entitylst] return entitylst
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def a_source_filename(plugin_ctx, fsm_ctx): """send source filename.""" src_file = plugin_ctx.src_file fsm_ctx.ctrl.sendline(src_file) return True
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import re def seperate_data(data, labels): """ Given a data file such as | x11 u11 x12 other x13 | | x21 u21 x22 other x23 | | ..................... | And labels for each column such as 'x' 'u' 'x' '_' 'x' Split the data into x' and u' """ # Take the i...
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def hr2deg(deg): """Convert degrees into hours.""" return (deg * (24.0 / 360.0))
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from typing import Union import time def cast_timestamp_seconds_since_epoch_to_text(seconds: Union[int, float, str], timezone: str = "UTC", time_in_nanoseconds: bool = False, da...
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def to_lower( tokens ): """Convert all tokens to lower case. Args: tokens (list): List of tokens generated using a tokenizer. Returns: list: List of all tokens converted to lowercase. """ return [w.lower() for w in tokens]
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import re def has_three_consecutive_vowels(word): """Returns True if word has at least 3 consecutive vowels""" pattern = re.compile(r"[aAeEiIoOuU]{3,}") match = pattern.search(word) return True if match else False
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def rotc(ebit, debt, equity): """Computes return on total capital. Parameters ---------- ebit : int or float Earnins before interest and taxes debt : int or float Short- and long-term debt equity : int or float Equity Returns ------- out : int or float ...
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def is_final_option(string): """Whether that string means there will be no further options >>> is_final_option('--') True """ return string == '--'
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def traverse_dict(obj: dict, convert_to_string: bool = True): """ Traversal implementation which recursively visits each node in a dict. We modify this function so that at the lowest hierarchy, we convert the element to a string. From https://nvie.com/posts/modifying-deeply-nested-structures/ "...
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def squash_dims(tensor, dims): """ Squashes dimension, given in dims into one, which equals to product of given. Args: tensor (Tensor): input tensor dims: dimensions over which tensor should be squashed """ assert len(dims) >= 2, "Expected two or more dims to be squashed" size...
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def transform_post(post): """Transforms post data Arguments: post {dict} -- Post data """ return { 'id': post['id'], 'title': post['title'], 'url': post['url'], 'image': post['feature_image'], 'summary': post['custom_excerpt'] \ if post['c...
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def min_operations(number): """ Return number of steps taken to reach a target number number: target number (as an integer) :returns: number of steps (as an integer) """ # Solution: # 1. The number of steps to reach a target number = number of steps take to make the target number 0 # 2....
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import ipaddress def validate_ipv4_address(ipv4_address): """ This function will validate if the provided string is a valid IPv4 address :param ipv4_address: string with the IPv4 address :return: true/false """ try: ipaddress.ip_address(ipv4_address) return True except: ...
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def flatten(some_list): """ Flatten a list of lists. Usage: flatten([[list a], [list b], ...]) Output: [elements of list a, elements of list b] """ new_list = [] for sub_list in some_list: new_list += sub_list return new_list
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from typing import Any from typing import Set def _all_names_on_object(obj: Any) -> Set[str]: """Gets all names of attributes on `obj` and its classes throughout MRO. Args: obj: The object to get names for. Returns: A set of names of attributes of `obj` and its classes. """ nameset = set(obj.__dict...
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import ipaddress import re def _validate_cidr_format(cidr): """Validate CIDR IP range :param str cidr: :return: :rtype: bool """ try: ipaddress.ip_network(cidr, strict=False) except (ValueError, ipaddress.AddressValueError, ipaddress.NetmaskValueError): return F...
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def _convert_path_to_ee_sources(path: str) -> str: """Get the remote module path from the 'ee-sources' GCS bucket. Args: path: str Returns: An ee-sources module url. """ if path.startswith("http"): eempath = path else: bpath = path.replace(":", "/") eemp...
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import pytz def convert_utc_to_localtime(utc_datetime, timezone_str): """ 轉換 utc 時間為指定的 local 時間,如果輸入的時區有錯,則保持原來的 UTC Args: utc_datetime(datetime): utc 時間 timezone(str): 指定轉換的時區,採用 tz database 列表 Returns timezone_dt(datetime): 回傳轉換好的時區時間 """ # 取得 tzinfo 的時區 if timezone_str in pytz.common_timezones: tz ...
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import collections def list_compare(a: list, b: list) -> bool: """Check if two lists contain the same elements.""" return collections.Counter(a) == collections.Counter(b)
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def copper_heat_capacity_CRC(T): """ Copper specific heat capacity as a function of the temperature from [1]. References ---------- .. [1] William M. Haynes (Ed.). "CRC handbook of chemistry and physics". CRC Press (2014). Parameters ---------- T: :class:`pybamm.Symbol` Dime...
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