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def formatField (Field, x, xerr): """ Parameters ---------- Field : The name of the field x : Value of the field xerr : Error in the field Returns ------- Str Field: x +/- xerr """ return str(Field) + " " + str(x) + " +/- " + str(xerr) + "\n"
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def getAttr(argAttrName, argAttrs): """Extract and return the value of a particular attribute from a list of (attributeName, attributeValue) pairs. If the attribute does not exist in the list, return None. """ for attr in argAttrs: if attr[0] == argAttrName: return attr[1] return None
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def get_search_term(request): """Get search term from request. Args: request: Django request object Returns: searchterm: string, search term """ # Get search term searchterm = request.POST.get('search', '') # If no POST data, try GET if not searchterm and request.GET.get('search', ''): s...
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def all_leaf_positions(parented_tree): """Return tree positions of all leaves of a ParentedTree, even if the input is only a subtree of that ParentedTree. """ return parented_tree.root().treepositions('leaves')
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def extract_package(signature): """Extracts the package from a signature. Args: signature (string): JNI signature of a method or field. Returns: The package name of the class containing the field/method. """ full_class_name = signature.split(";->")[0] package_name = full_class_...
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def get_line(s): """get a gui line with given char""" return str(s)*72
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def get_exception_info(exception: BaseException) -> dict: """ Given an Exception object, retrieves some information about it: class and message. :param exception: An exception which inherits from the BaseException class. :return: A dict, containing two values: - class: Th...
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def get_count_proteins(filename): """ Get the number of unique proteins from unique_proteins output. """ with open(filename) as f: line = f.readline() if line.startswith("Found"): count = int(line.split()[1]) else: count = -1 return count
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def fits_header_value(hdu, key): """ Take FITS hdu and a key, return value associated with key (or None if key absent). Adapted from package photrix, class FITS.header_value. :param hdu: astropy fits header+data unit object. :param key: FITS header key [string] or list of keys to try [list of string...
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def camelize(val): """Return the camel case version of a :attr:`str` >>> camelize('this_is_a_thing') 'thisIsAThing' """ s = ''.join([t.title() for t in val.split('_')]) return s[0].lower()+s[1:]
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def format_menu(menu): """ Textually format a menu. Args: menu: A dictionary with as key the type of menu item and as values the menu content and the prices for students and staff. Returns: The nicely format menu including emojis to indicate the menu types. """ me...
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def distance_between(agents_row_a, agents_row_b): """ calculate distance between 2 agents """ length = (((agents_row_a[0] - agents_row_b[0])**2) + ((agents_row_a[1] - agents_row_b[1])**2))**0.5 return(length)
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def crop_border(imgs, crop_border): """Crop borders of images. Args: imgs (list[ndarray] | ndarray): Images with shape (h, w, c). crop_border (int): Crop border for each end of height and weight. Returns: list[ndarray]: Cropped images. """ if crop_border == 0: retur...
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def convert_to_strings(entities): """ Given a tuple of entities, return a list of strings """ return [e.text for e in entities]
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def populate_countries_dict(file_path): """ Function to populate dictionary of countries and url numbers. """ countries_dict = {} with open(file_path, 'r') as f: for line in f.readlines(): key_value = line[:-1].split(':') countries_dict[key_value[0]] = int(k...
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import re def remove_extra_description_terms(description): """ Sometimes the description contains some things we don't want to include like trailing '.', extra spaces, the string (non-protein coding) and a typo in the name of tmRNA's. This corrects those issues. """ description = re.sub( ...
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def dict_diff(first, second): """ Return a dict of keys that differ with another config object. If a value is not found in one fo the configs, it will be represented by KEYNOTFOUND. @param first: Fist dictionary to diff. @param second: Second dicationary to diff. @return diff: ...
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def response_verify(resp): """ Verify if the response's status code is 200 or not. :return: True if response code is 200 :rtype: bool """ if resp.status_code != 200 or resp.text == "": return False else: return True
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def get_transaction_data(consumer_id, transactions): """ For all transactions related to a consumer, return a dictionary with the keys being the offer IDs or the value 'transaction' for non-offer related events. """ txn_dict = {} txn = transactions[transactions["person"] == co...
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import requests def download(url): """ :param url: str Url to get :return: response Response of request """ return requests.get(url)
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def cost(z): """ Cost function. """ return 0.1 + 0.4 * (4 * z[0])**2 + 0.5 * z[1]
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import hashlib def md5_hex(data): """ shortcut of hashlib.md5('xxx').hexdigest() >>> md5_hex('123') '202cb962ac59075b964b07152d234b70' """ return hashlib.md5(data).hexdigest()
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def get_output_jar_paths(version): """ Gets the list of output jars, which includes the primary jep-${version}.jar, the test jar, and the src jars. """ return [ 'build/java/jep-{0}-sources.jar'.format(version), 'build/java/jep-{0}.jar'.format(version), 'build/java/jep-{0}-tes...
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def add_files_to_zip(zip_file, base_dir, file_list): """Pack a list of files into a zip archive, that is already opened for writing. Args: zip_file: An object representing the zip archive. base_dir: Base path of all the files in the real file system. file_list: List of absolute file paths to add. Mus...
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def prior_probability_of_category_k(k, c, nk): """ Function that calculates the prior probability of category k. This is equation 3-4 in [Ande90]_ Parameters ---------- k : int Category index. For example, k can be 0 or 1 or 2 etc c : float Coupling probability. This is the prob...
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import click def format(text): """Format all OK,FAIL,PR,REPO words :param text: word :type text: string :raises Exception: Unknown text :return: formated click style text :rtype: string """ text = text.lower() if text == "ok": return click.style('OK', fg='green', bold...
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import hashlib def HashedKey(*args, version=None): """ BOSS Key creation function Takes a list of different key string elements, joins them with the '&' char, and prepends the MD5 hash of the key to the key. Args (Common usage): parent_iso (None or 'ISO') collection_id experi...
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from datetime import datetime def parse_date(date_text: str): """ Convert a date string into a datetime instance that can be saved as an SQL DATE. :param date_text: A timestamp string in "YYYY-MM-DD" format :return: A datetime object """ return datetime.strptime(date_text, '%Y-%m-%d')
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def filter_images(data, split_data): """ Keep only images that are in some split and have some captions """ all_split_ids = set() for split_name, ids in split_data.iteritems(): all_split_ids.update(ids) new_data = [] for img in data: keep = img['id'] in all_split_ids and len(img['regions']) > 0 if...
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import torch def adjacency_matrix_to_tensor_representation(W): """ Create a tensor B[:,:,1] = W and B[i,i,0] = deg(i)""" degrees = W.sum(1) B = torch.zeros((len(W), len(W), 2)) B[:, :, 1] = W indices = torch.arange(len(W)) B[indices, indices, 0] = degrees return B
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def inverse_weight(distance, num=1.0, const=0.1): """ 权重函数: 距离的逆. :param distance: 距离 :type distance: float :param num: 分子 :type num: float :param const: 常量 :type const: float :return: 权重值 """ return num / (distance + const)
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import random import math def normal_random(mean = 0.0, variance = 1.0): """ Samples from a normal distribution. :param mean The mean. Default is 0.0. :param variance The variance. Default is 1.0. """ while True: v1 = 2.0 * random.random() - 1.0 ...
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def increment(number): """Increases a given number by 1.""" return number + 1
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import logging def get_logger(logger_name, logger_level, stream=None): """Get a logger for the script. Using stream handler. # Arguments logger_name: `str`<br/> the name of the logger logger_level: `int`<br/> the minimial level that trigger the logger. str...
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def hamming_weight(n): """ Calculates the Hamming weight of a positive integer. The Hamming weight of an integer is defined as the number of 1s in its binary representation. """ c = 0 while n: c += 1 n &= n - 1 return c
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def split_plus(line): """ Split a line according to the + (plus) sign. :param line: :return: """ new_line = line.split("+") return new_line
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from typing import Union from typing import Any def get_keys_containing(obj: Union[dict, Any], key) -> set: """ Returns a set with the keys that contain `key` Example: .. code-block:: python from quantify_core.utilities.general import get_keys_containing dict_obj = {"x0": [1, 2, 3],...
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def commonLeader(data, i, j): """Get the number of common leading elements beginning at data[i] and data[j].""" l = 0 try: while l < 255+9 and data[i+l] == data[j+l]: l += 1 except IndexError: pass # terminates return l
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import re def _validcas(cas): """ Validate a CAS Registry Number See: https://en.wikipedia.org/wiki/CAS_Registry_Number#Format :param cas: a string to be validated as a CAS Registry Number :return: bool """ test = re.search(r'^\d{2,8}-\d{2}-\d$', cas) # if format of string does not mat...
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def get_plugin_name(plugin): """ Return the PyPI name of the given plugin. """ return 'taxi-' + plugin
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def join_cols(cols): """Join list of columns into a string for a SQL query""" return ", ".join([i for i in cols]) if isinstance(cols, (list, tuple, set)) else cols
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def _getParameterRange(key): """ Returns fur's default parameter range as 2-tuple (min, max). key: fur attribute (string) """ if "Density" ==key: return (10000.0, 30000.0) ## geometry attributes (1) for single strand if "Length" ==key: return (1.00, 5.00) if "BaseWidth"==key: return ...
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def _read_binary_data(fp, size, name, clip=False): """Read zero-padded binary data from a file. Attempts to read `size+1` bytes from filehandle `fp`. If 0 or more than `size` bytes are read, raises an IOError. Data of any other size is returned to the caller, followed by enough zero padding to yield `size` byt...
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from typing import Counter def create_vocabulary(text, max_vocab_size = 2000): """ Create Vocabulary dictionary Args: text(str): inout text max_vocab_size: maximum number of words in the vocabulary Returns: word2id(dict): word to id mapping id2word(dict): id to word mapping...
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def get_user_version(conn): """Return user_version value.""" result = conn.execute('PRAGMA user_version') return result.fetchone()[0]
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def object_from_args(args): """ Turns argparser's namespace into something manageable by an external library. Args: args: The result from parse.parse_args Returns: A tuple of a dict representing the kwargs and a list of the positional arguments. """ return dict(args._get_kwargs...
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def get_storage_blob(bucket, source_folder_name, source_file_name): """ Fetches and returns the single source file blob from the buck on Google Cloud Storage """ source_path = source_file_name if source_folder_name != '': source_path = f'{source_folder_name}/{source_file_name}' blob ...
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def _to_camel_case(text: str) -> str: """ Convert a text in snake_case format into the CamelCase format :param text: the text to be converted. :return: The text in CamelCase format. """ return "".join(word.title() for word in text.split("_"))
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def largest_prime_factor(number): """ Calculate the largest prime factor of a number :param number: Number of which largest prime should be found :return: Integer: largest prime factor """ count = 2 while count * count <= number: if number % count: count += 1 else...
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import hashlib import json def get_cache_key(args, kwargs): """ Returns a cache key from the given kwargs This is simply a sha256 hexdigest of the keyword arguments Args: kwargs (dict): the arguments to build a cache key from Returns: str: the cache key """ sha = hashlib...
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def text(node): """Extract text from an XML node.""" if node is None: return '' s = ''.join(node.itertext()) return ' '.join(s.split())
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from typing import AnyStr def ensure_bytes(value: AnyStr) -> bytes: """Convert text into bytes, and leaves bytes as-is.""" if isinstance(value, bytes): return value if isinstance(value, str): return value.encode('utf-8') raise TypeError(f"input must be str or bytes, got {type(value).__...
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def add_suffix(suffix, name): """Adds subfix to name.""" return "/".join((name, suffix))
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from typing import Union from typing import List from typing import Tuple from typing import Iterable def flatten(lst: Union[List, Tuple]) -> List: """Recursive function that flatten a list (of potential `Iterable` objects).""" if isinstance(lst, Iterable) and not isinstance(lst, (str, bytes)): return...
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import re def strip_ws(string: str): """ Strip whitespace off a string and replace all instances of >1 space with a single space. """ return re.sub(r'\s+', ' ', string.strip())
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def try_lower(string): # Ask for, forgiveness seems faster, perhaps better :-) """Converts string to lower case Args: string(str): ascii string Returns: converted string """ try: return string.lower() except Exception: return string
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def concatenate_rounds(rounds1, rounds2): """Return a list of rounds that combines `rounds1` and `rounds2`.""" return rounds1 + rounds2
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import torch def coco_category_to_topology(coco_category): """Gets topology tensor from a COCO category """ skeleton = coco_category['skeleton'] K = len(skeleton) topology = torch.zeros((K, 4)).int() for k in range(K): topology[k][0] = 2 * k topology[k][1] = 2 * k + 1 t...
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import collections def tail(n, seq): """ The last n elements of a sequence >>> tail(2, [10, 20, 30, 40, 50]) [40, 50] See Also: drop take """ try: return seq[-n:] except (TypeError, KeyError): return tuple(collections.deque(seq, n))
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import re def delete_whitespace(text: str) -> str: """ Removes whitespaces from text. """ return re.sub(r'\s+', '', text).strip()
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def score_to_quality(qval, offset: int=32, maxval: int=126): """Convert a score to quality value.""" cval = int(qval) + offset if cval > maxval: cval = maxval return chr(cval)
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def record_variant_id(record): """Get variant ID from pyvcf.model._Record""" if record.ID: return record.ID else: return record.CHROM + ':' + str(record.POS)
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from typing import List def chargement_fichier(nom_fichier : str) -> List[str]: """Précondition : nom_fichier est le nom d'un fichier texte existant Retourne le contenu du fichier texte identifié par nom_fichier sous la forme d'une liste de lignes de texte. """ # Lignes contenues dans le fichier ...
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def parse(resp): """ Parse response into status line, headers and body. """ pos = resp.find(b'\r\n\r\n') assert pos != -1, 'response is %s' % repr(resp) head = resp[:pos] body = resp[pos+4:] status,head = head.split(b'\r\n', 1) hdrs = {} for line in head.split(b'\r\n'): k...
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def flatten_board(board): """ Turns the 3x3 board into a 1x9 board """ return [cell for row in board for cell in row]
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import typing def get_path_from_list(to_parse: typing.List[str], path_prefix: str) -> str: """Parse a path from a list of path parts.""" ret = path_prefix for i in to_parse: ret += f"/{i}" return ret.lstrip("/").rstrip("/")
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def _filter_labels(labels, start_datetime, end_datetime, verbose=True): """ Select the labels whose date in the provided datetime range """ mask = (labels.Date >= start_datetime) & (labels.Date <= end_datetime) if verbose: print("Selecting {} out of {} labels".format(mask.sum(), len(labels))) re...
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import random def random_float(min=1.0, max=100.0, decimals=None): """Generate a random float between min and max. `decimals` is the maximum amount of decimal places the generated float should have. """ randomfloat = random.uniform(min, max) if decimals is not None: randomfloat = roun...
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def ip_to_int(ip): """ >>> ip_to_int(None) 0 >>> ip_to_int('0.0.0.0') 0 >>> ip_to_int('1.2.3.4') 16909060 """ if ip is None: return 0 result = 0 for part in ip.split('.'): result = (result << 8) + int(part) return result
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def is_valid(value, mode): """Return True if value is in range of map size. Mode: WIDTH or HEIGHT, depending what value is checked.""" return False if value < 0 or value > mode-1 else True
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def get_docs_changed(diffs: str) -> int: """Processes diffs from a Pull Request to extract number of doc-type files changed in the PR Parameters ---------- diffs : str A string denoting the diffs in the PR Returns ------- int number of files of documentation type that have ...
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def check_fit(plaintext: list, ciphertext: list) -> int: """Check if ciphertext can fit in plaintext's whitespace. Sum number of blanks in **plaintext** and compare to number of characters in **ciphertext** to see if it can fit. Args: plaintext (list): Paragraphs of a fake message in a list of...
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import re def to_lowercase_alphanum(text): """Remove non-alphanumeric characters and convert text to lowercase. """ return re.sub(r'[^a-z0-9]', '', text.lower())
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import math def obliquity_of_ecliptic(t: float) -> float: """ Calculate the obliquity of earth's ecliptic around the sun in decimal degrees. Parameters: t (float): The time in Julian Centuries (36525 days) since J2000.0 Returns: float: The obliquity of earth's ecliptic at the given t...
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def fractional_tune(tune): """ Returns the fractional tune.""" return tune - int(tune)
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def euclid(a, b): """ Extended Euclidean Algorithm; finds (x,y,z) such that ax + by = gcd(a,b) = z Written with help from http://en.literateprograms.org/Extended_Euclidean_algorithm_%28Python%29 Input: (a,b) two integers Output: (x, y, z) integers such that ax + by = gcd(a,b) ...
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from typing import Iterator from typing import Dict from typing import Tuple from typing import Optional import logging def _parse_as_to_org_map_remainder( f: Iterator[str], org_id_to_country_map: Dict[str, Tuple[str, str]] ) -> Dict[int, Tuple[str, Optional[str], Optional[str]]]: # pyformat: disable """Retur...
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def is_special(pat): """Whether the given pattern string contains match constructs.""" return "*" in pat or "?" in pat or "[" in pat
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def ReadIDList(infile, delim=None):#{{{ """ Read a file containing a list of sequence IDs. """ try: fpin = open(infile,"r") li = fpin.read().split(delim) fpin.close() if delim != None: li = [x.strip() for x in li] return li except IOError: ...
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import re def find_ipv4_with_subnet(string): """ Find and return IPv4 address with subnet inside a string. This function will only return an ipv4 address with a subnet :param string: (str) The string to search for ipv6 with subnet(i.e. "Successfully added Subnet 10.34.33.20/30") :return: (str) ...
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from typing import List def create_table_dropdown(order_list: List[dict], order_name: str) -> dict: """ Create the dropdown-options in the context of assembling orders. Syntax of the returned dictionary is based on dash. """ dropdown_options = { 'component': { 'options': [] ...
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def get_values_lengthes(dictionary): """returns the sum of the lengthes of values of a dictionary""" return sum(map(lambda value: len(value), dictionary.values()))
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import torch def _interp_array(start: torch.Tensor, end: torch.Tensor, num_steps: int) -> torch.Tensor: """Linearly interpolate 2D tensors, returns 3D tensors. Args: start: 2D tensor for start point of interpolation of shape [x,y]. end: 2D tensor as end point of interpolation of ...
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def node_is_shortcuttable(node_i, path, netgraph, rev_netgraph): """ Given a index node_i in path and path (list of node numbers) containing node and the two graph (dict of dicts) structures where rev_netgraph is just graph with all links reversed, return True if the node has links only to and from ...
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def GetRegionFromZone(gce_zone): """Parses and returns the region string from the gce_zone string.""" zone_components = gce_zone.split('-') # The region is the first two components of the zone. return '-'.join(zone_components[:2])
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def key(resource): """ Returns key name based on resource """ return { 'token': 'address', 'pool': 'address', 'address': 'address', 'allowance': 'hash', 'balance': 'hash', 'claim': 'hash', 'wallet': 'hash', 'transaction': 'hash', 't...
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def is_first_read(flag): """ Interpret bitwise flag from SAM field. Returns True or False indicating whether the read is the first read in a pair. """ IS_FIRST_SEGMENT = 0x40 return (int(flag) & IS_FIRST_SEGMENT) != 0
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def comment_code(code_str, line_comment=None, block_comment=None): """Adds comments to a snippet of code. If line_comment is a given string then each line is prepended with the line_comment string. If block_comment is a tuple of two strings (begin, end) the code str is surrounded by the strings. ...
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def from_image_url(url: str, width: int, height: int) -> str: """ Generates GIFT text for a URL. Parameters ---------- url : str Input URL. width : int Desired width of the image. height : int Desired height of the image. Returns ------- out: str GIFT-ready text. """ # either both are set or non...
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import torch from typing import Optional def create_src_lengths_mask(batch_size: int, src_lengths: torch.Tensor, max_src_len: Optional[int] = None): """ Generate boolean mask to prevent attention beyond the end of source Inputs: batch_size : int src_lengths : [batch_size] of sentence lengths ...
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import functools import random import time def rare_delay(delay: float, probability: float): """ Decorator to add a fixed random delay before executing the function with a given probability. :param delay: Delay in seconds. :param probability: Probability of delaying the function execution. :re...
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import random def rand_index(word): """ Returns a random index in a given text. """ return random.randint(0, len(word)-1)
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def get_previous_timestep(timesteps, timestep): """Get the timestamp for the timestep previous to the input timestep""" return timesteps[timesteps.ord(timestep) - 1]
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import math def latlon2tms(lat,lon,zoom): """ Converts lat/lon (in degrees) to tile x/y coordinates in the given zoomlevel. Note that it doesn't give integers! If you need integers, truncate the result yourself. """ n = 2**zoom lat_rad = math.radians(lat) xtile = (lon+ 180.0) / 360.0 *...
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def map_values(function, dictionary): """Map ``function`` across the values of ``dictionary``. :return: A dict with the same keys as ``dictionary``, where the value of each key ``k`` is ``function(dictionary[k])``. """ return {k: function(dictionary[k]) for k in dictionary}
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import inspect def get_func_args(func, args, kwargs): """ 获得函数的所有参数信息,保存在 func_args 中 输入: func: 函数体 args: 传入的位置参数列表 kwargs: 传入的命名参数列表 """ # 获得当前函数的所有参数信息 full = inspect.getfullargspec(func) # 含缺省值定义 # FullArgSpec(args=[], varargs='args', varkw='kwargs', defaults=...
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def clean_cos(value): """ Limits the a value between the range C{[-1, 1]} @type value: float @param value: The input value @rtype: float @return: The limited value in the range C{[-1, 1]} """ return min(1, max(value, -1))
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def sliding_window(l, n): """ Creates a sliding window of given length over a list. Examples -------- >>> l = range(5) >>> sliding_window(l, 2) [[0, 1], [1, 2], [2, 3], [3, 4]] """ rngs = range(0, len(l) - n + 1) return map(lambda rng: l[rng:rng + n], rngs)
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import tqdm def apply_groups(groups, client, func, *args, return_futures=False, progress_bar=True, **kwargs): """ Call `func` on each group in `groups`. Additionally, `args` and `kwargs` are passed to the function call. Parameters ---------- groups: pandas.DataFrameGroupBy The re...
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def refine_digits_set(digits): """美化连续数字的输出效果 >>> refine_digits_set([210, 207, 207, 208, 211, 212]) '207,208,210-212' """ arr = sorted(list(set(digits))) # 去重 n = len(arr) res = '' i = 0 while i < n: j = i + 2 if j < n and arr[i] + 2 == arr[j]: while j <...
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