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from bs4 import BeautifulSoup def get_tag_by_field(text_or_soup, tag_name, field, expr): """Returns HTML tag in text if expr is in its field. If not found, returns None. """ if isinstance(text_or_soup, BeautifulSoup): soup = text_or_soup else: soup = BeautifulSoup(text_or_soup) for tag in soup.fi...
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def check_key_value(data, key, value): """Checks a key for the given value within a dictionary recursively.""" if isinstance(key, dict): for k, v in key.items(): return check_key_value(data[k], v, value) if data[key] == value: return True return False
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import re def whitespace_trimmer(text, loader_context): """ Removes all whitespace at either end of the string and replaces every substring with more than one internal space with a single space. Example: ' foo bar baz ' -> 'foo bar baz' """ return re.sub(r'\s+', ' ', text.strip())
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def create_X_y(train, val, test, target): """creates X_ and y_ dataframes from train, val, test for model building""" X_train = train.drop(target, axis=1) y_train = train[target] X_val = val.drop(target, axis=1) y_val = val[target] X_test = test.drop(target, axis=1) y_test = test[target] ...
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def quick_sort(in_list, front): """ 快速排序 :param in_list: 待排序数组成的列表 :param front: 排序方向,0为从小到大排序,1为从大到小排序 """ def quick_sort_bt(left, right): if left > right: return base = left i = left j = right while j != i: if front == 1: ...
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from datetime import datetime def get_timestamp(dt): """ Python2 compatible way to compute the timestamp (seconds since 1/1/1970) """ return (dt.replace(tzinfo=None) - datetime(1970, 1, 1)).total_seconds()
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def fixed_length_split(data, width): """ 固定长度分割字符串 :param data: :param width: :return: """ # 使用正则的方法 # import re # split = re.findall(r'.{%s}' % width, string) return [data[x: x + width] for x in range(0, len(data), width)]
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import random def random_int(min, max): """ Get random integer :param min: Minimum value (included) :param max: Maximum value (included) :return: Random integer """ return random.randint(min, max)
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def minmax(t, u): """ Compute all local minima and maxima of the function u(t), represented by discrete points in the arrays u and t. Return lists minima and maxima of (t[i],u[i]) extreme points. """ minima = []; maxima = [] for n in range(1, len(u)-1, 1): if u[n-1] > u[n] < u[n+1]: ...
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def niceNum(num, precision=0): """Returns a string representation for a floating point number that is rounded to the given precision and displayed with commas and spaces.""" return format(round(num, precision), ',.{}f'.format(precision))
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def stagger_tuple(elements_list, initial=None): """ Converts a list of objects into a staggered tuple Example: [1, 2, 3, 4, 5] [(1, 2), (2, 3), (3, 4), (4, 5)] """ res = [] previous_element = initial for element in elements_list: if previous_element is not None: ...
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def _clean_values(values): """ Clean values to the state that can be used in Sheets API :type values: list :param values: Row values to clean :rtype: list :return: Cleaned values, in the same order as given in function argument """ return [value if value is not None else '' for value i...
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def _FindFirst(itr, matcher): """Finds a value in an iterable that matches the matcher. Args: itr: (iterable[object]) Iterable. matcher: Function accepting a single value and returning a boolean. Returns: The first value for which the matcher returns True. If no value matches, return None. """...
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import yaml def read_yaml(yaml_file: str) -> dict: """Read a YAML file. :param yaml_file: Full path with file name and extension to an input YAML file :type yaml_file: str :return: Dictionary """ with open(yaml_file, 'r') as yml: r...
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def tag_type_check(tag_buffer, tag_list): """ Check if tag buffer is in or is potentially in tag list :param tag_buffer: string :param tag_list: list of strings :return: indicator as list """ temp = [] for i in tag_list: if i == tag_buffer: return [tag_buffer] ...
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import torch def default_ray_sampling(ray_batch, N_samples, lindisp, perturb): """Samples coarse samples along rays. Args: ray_batch: array of shape [batch_size, ...]. All information necessary for sampling along a ray, including: ray origin, ray direction, min dist, max dist, ...
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def get_lowest_cost_path(paths): """ Gets the path with the lowest cost from a set of paths. paths is a set of format: {((node_1,..., node_n), cost)}. Returns path with format: ((node, node, node), cost). """ return min(paths, key = lambda t: t[1])
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def date_object_to_rfc3339(date): """Converts a datetime object to a RFC3339 date string. Args: date: Date object (e.g datetime.datetime(2017, 12, 27 , 0, 0, 0, 0)). Returns: Corresponding RFC3339 date string (e.g: 2017-12-27T00:00:00Z). """ return date.strftime('%Y-%m-%dT%H:%M:%SZ')
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def can_write_read(read_and_alignment, current_position): """Returns true if the first read in the cache can safely be written. This will be the case if the read was not the first in a set of reads with the same alignment, or if the current position has gone beyond the last base covered in that alignmen...
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def merge_config(args, config): """This function merges the args and the config together. The command line arguments are prioritized over the configured values. :param args: command line arguments :type args: dict :param config: option from the config file :type config: dict :return: dict w...
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import re def get_fun_name(line): """ Get function name from a line. >>> get_fun_name('function(foo)') 'foo' >>> get_fun_name('function(foo BAR BAZ)') 'foo' >>> get_fun_name('function(foo') 'foo' >>> get_fun_name('set(') """ match = re.match(r'(function|macro)\s*\((\w+)', l...
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def is_channels_last(node): """Returns whether node is channels last, so (N, ..., C).""" return not node.data_format.startswith("NC")
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def amino_function(weight: float, sport_a_week: int) -> float: """ Calculates 24hour calory need. Returns -1 in any error case. :param weight: float, kilograms :param sport_a_week: int, times. do sport times a week amount. :return: """ amino = -1 if sport_a_week <= 0: amino...
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import math def percentageFloor(x): """ Returns a float which is the input rounded down to the neared 0.01. e.g. precentageFloor(0.941354) = 0.94 """ return math.floor(x*100) / 100.0
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def is_left(p0, p1, p2): """ is_left(): tests if a point is Left|On|Right of an infinite line. Input: three points P0, P1, and P2 Return: >0 for P2 left of the line through P0 and P1 =0 for P2 on the line <0 for P2 right of the line See: Algorithm 1 "Area of Triang...
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import math def floor(num: int) -> int: """Returns the number rounded down""" floor: int = math.floor(num) return floor
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def parse_platform_specific(cfg, is_linux): """Recursive function that will parse platform specific config This will move all children of matching platform keys to its parent I.e. if current platform is "linux" this config: nrf5: version: 15.3.0_59ac345 windows: ...
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def listToNum(list): """Converts a bit-list [0, 1, 0, 1] to an int.""" return int(''.join(str(x) for x in list), 2)
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def total_incl_gst(amount, gst_rate): """Calculate total including GST. Calculates total including GST and returns the GST inclusive amount and the gst_component amount. Args: amount (float): GST exlusive amount gst_rate (float): GST rate to apply. Returns: ...
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def _check_suffix(path: str) -> str: """Checks that file is a .csv or .tsv file, and returns which sep to use Args: path: File path Returns: sep Sep to use for parsing """ if path[-4:] == ".tsv": return "\t" if path[-4:] == ".csv": return "," raise ValueEr...
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def sec2samples(time_in_seconds, rate): """ turn time in seconds into time in samples""" time_in_samples = int(round(time_in_seconds * rate)) if time_in_samples < 0: time_in_samples = 0 return time_in_samples
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def get_primes(n): """Get all primes less than or equal to n.""" if n < 2: return [] primes = [2] for i in range(3, n+1): for p in primes: if i % p == 0: break if p > int(i ** 0.5): primes.append(i) break return ...
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import time def unix_timestamp_to_string(unix_seconds, format_string): """Converts a timestamp (in unix seconds since the epoch) to a human-readable string in UTC. format_string should be in a format that time.strftime understands. """ if (unix_seconds is None): return None return time.strftime(format_string, ...
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def curve_to_string(q,t,k,r,D): """ Description: Returns a string representation of the curve (q,t,r,k,D) Input: q - size of prime field t - trace of Frobenius r - size of prime order subgroup k - embedding degree D - (negative) fundamental disc...
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import logging def getLogger(module_name=None): """ Returns a logger appropriate for use in the ocp_cd_tools module. Modules should request a logger using their __name__ """ logger_name = 'ocp_cd_tools' if module_name: logger_name = '{}.{}'.format(logger_name, module_name) return...
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def get_int_from_user(message, min_, max_) -> int: """ Return an integer in range [a, b] (both included) input by user. """ error_msg = 'invalid input, try again' while True: print(message) inp = input(f' ({min_}-{max_})>') try: inp = int(inp) except Value...
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def _bias_correction(X, beta, t): """Performs bias correction.""" bc = 1 - beta ** t return X / bc
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def lineno(tree): """ Return the line number of the AST :param tree ast: :rtype: int """ return tree['attributes']['startLine']
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def average(sum, tem): """ :param sum:int,the temperature sum :param tem:int, the temperature that user entered. This function circulate the average temperature. """ return float(sum/tem)
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import pprint def _format_errors(errors, params): """ Make human-readable error messages from a cerberus validation instance """ err_str = "" # Create a bulleted list of each cerberus error message for key in errors: for err_msg in errors[key]: err_str += " * " + key + ": " + err_m...
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def check_calls_with(call_mock, param, value): """ Given a mocked object, check if it was called with a given parameter and/or value. :param call_mock: the mock object to check :type call_mock: mock.call :param param : check if it was called with this given 'param' :type param : string :...
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def gnome_sort(arr): """ Gnome Sort also called Stupid sort is based on the concept of a Garden Gnome sorting his flower pots. A garden gnome sorts the flower pots by the following method- He looks at the flower pot next to him and the previous one; if they are in the right order he steps one pot f...
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def import_word_list(file="../sgb-words.txt"): """ Import the dictionary of 5-letter words. Returns a list """ with open(file) as the_file: word_list = the_file.readlines() word_list = [line.rstrip() for line in word_list] return word_list
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def merge_dicts(*dicts): """Shallow copy and merge any number of input dicts. Precedence goes to key value pairs in latter dicts. Parameters ---------- dicts : dict1, dict2, ... Any sequence of dict objects to merge. Examples -------- >>> from secml.utils import merge_dicts ...
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def from_task_key(key): """ Retrieves the coordinates of a tasks given its corresponding key :param key: the key to use :return: x and y coordinates of the task """ return key[0], key[1]
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def d_poly_f(x, c): """Derivative function of poly_f""" df_x = 0 for i in range(1, len(c)): df_x += pow(x, i - 1) * c[i] * i return df_x
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from typing import List from pathlib import Path import re def parse_files(text: str) -> List[Path]: """Convert comma-delimited filenames to a list of Path objects""" if not text or not text.strip(): return [] return [Path(x.strip()) for x in re.split("[ ,]+", text)]
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def ensure_leading_slash(path: str) -> str: """ Ensures that the given path has a leading slash. This is needed as mock paths are stored in the database with a leading slash, but flask passes the path parameter without one. """ if path[0] != "/": return "/" + path return path
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def euro_string(value: int) -> str: """ Convert cents to string formatted euro """ result = "€ {:.2f}".format(round(value / 100, 2)) return result
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def CreateBFTFixture(class_name, params): """Initializes a BFT fixture instance. Imports a BFT fixture module based on class_name and initializes the instance using params. Args: class_name: fixture's import path + module name. For example, "cros.factory.test.fixture.dummy_bft_fixture.DummyBFTFixt...
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def strip_prefix(string, prefix): """ Strip the prefix from the given string and return it. If the prefix is not present the original string will be returned unaltered :param string: the string from which to remove the prefix :param prefix: the prefix to remove :return: the string with prefix r...
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from typing import Callable from typing import Any import inspect import functools def partial_kwargs(function: Callable[..., Any], **kwargs: Any) -> Callable[..., Any]: """Return a partial function application by overriding default keywords. This function is equivalent to `functools.partial(function, **kwarg...
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def get_function_name(s): """ Get the function name from a C-style function declaration string. :param str s: A C-style function declaration string. :return: The function name. :rtype: str """ s = s.strip() if s.startswith("__attribute__"): # Remove "__attribute__ ((...
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def has_field(field_name): """Returns a function that returns True if the obj has the field_name.""" def field_checker(obj): return hasattr(obj, field_name) return field_checker
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def name_for_image(image): """Translates an image's filename to a title. >>> name_for_image('business_cat.jpg') 'Business Cat' """ return image.split('.')[0].replace('_', ' ').title()
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def setBit (value, bit, bitval): """Returns value with a specific bit position set to bitval.""" if bitval: return value | (1 << bit) else: return value & ~(1 << bit)
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def get_jinja_variables(pipeline): """Gets a dictionary of variables from a SpinnakerPipeline that can be exposed to Jinja templates""" variables = dict() variables["trigger_job"] = pipeline.trigger_job variables["group_name"] = pipeline.group_name variables["app_name"] = pipeline.app_name varia...
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import pathlib def is_file_exist(name: str): """ Indicates whether file name exists or not Parameters ---------- name : str String representing filename Returns ------- bool True when filename indicated by name exists, False otherwise """ path = pathlib.Path(name)...
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def calc_dF_F(Ft, Fo): """ Takes inputs Ft and Fo and returns dF/F """ dF_F = (Ft-Fo)/Fo return(dF_F)
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import random def random_hash(hash_length, sequence_length, seed=None): """Create a hash function for randomized partitioning. Args: hash_length: integer number of bases from each sequence to use in the hash key. sequence_length: integer length of all sequences in this partition. seed: optional...
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def _get_neighbor_ipaddress_list_by_hostname(config_db, hostname): """Returns list of strings, each containing an IP address of neighbor with hostname <hostname>. Returns empty list if <hostname> not a neighbor """ addrs = [] bgp_sessions = config_db.get_table('BGP_NEIGHBOR') for addr, sessio...
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def unescape_path_key(key): """Unescape path key.""" key = key.replace(r'\\', '\\') key = key.replace(r'\.', r'.') return key
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import json def load_configs_from_json(file): """ Load Librarian service configuration from local json config file See documentation for expected contents of the config file Args: file (str): json file containing the config values Raises: ValueError: if file given is not defined ...
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def collectDict(**kwargs): """ return a dict initialized with kwargs. Essentially a syntactic helper, allows to say "collectDict(a=1, b=b)" instead of: {'a':1, 'b':b} """ return kwargs
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def get_type(g): """ Returns the rotation type of each quaternion present in the input quaternion array. Parameters ---------- g: numpy.array a quaternion array of size (5 x n) Returns ------- integer values (either +1 or -1) stored in a 1-D numpy array of size n. +1 is...
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import hashlib def md5_from_filelike(filelike, block_size_factor=128): """Create the hexdigested md5 checksum of the contents from a filelike object. :param filelike: the filelike object for whose contents to generate the md5 checksum :param block_size_factor: the file is read at chunks of size ``block_s...
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def get_user_profile_url(user): """Return project user's github profile url.""" return 'https://github.com/{}'.format(user)
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def palindrome(word): """ Verify if a word is a palindrome. The palindrome are words or phrases that you can read equally in both sides. Whether is palindrome returns True else False >>> palindrome("radar") True >>> palindrome("taco cat") True >>> palindrome("holah") False ...
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import math def db(val): """Just return the 10log10 applied to val""" return 10 * math.log10(val)
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def sbxor(a: bytearray, k: int) -> bytearray: """Calculate the single byte xor a ^ k Arguments: a {bytearray} -- Bytearray to be xor'd with k {int} -- single byte key to test Returns: bytearray -- a ^ k """ assert(k < 0x100 and k >= 0x0), "k must be a single byte" n = ...
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def find_frame(buffer): """ Finds the next MP3 frame header. @param bytearray buffer Bytes from an MP3 file. @return int The index in the buffer where the frame was found, or -1 if not found. """ try: synchs = [buffer.find(b'\xFF\xFA'), buffer.find(b'\xFF\xFB')] return min(x for x in synch...
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def read_genes(file): """Read in gene list from file""" with open(file) as f: genes = [i.rstrip().lower() for i in f.readlines()] return genes
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def http_verifier(url: str): """ verifies if the url starts with http:// or https://. If not, http:// is put in the start of url :param url: url to be verified :return: url with http:// """ if not any(x in url[:10] for x in ['http://', 'https://']): return 'http://' + url els...
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def uint64_tag(name, value): """Create a DMAP tag with uint64 data.""" return name.encode('utf-8') + \ b'\x00\x00\x00\x08' + \ value.to_bytes(8, byteorder='big')
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def get_ord(c): """Get Unicode ord.""" return ord(c)
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import pickle def save_pkl(object, path): """save python object to a pickle file Example: :: # save a dict to file dic = dict(a=1, b=2) save_pkl(dic, "dic.pkl") print(load_pkl("dic.pkl")) :param object: the python object to be saved. :param path: target path. ...
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def excess_returns(returns, bm=0): """ Return the excess amount of returns above the given benchmark bm """ return returns - bm
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def get_coordinates(filename): """ Extract information about atoms and their coordinates from .xyz file.""" with open(filename, "r") as f: data = [] lines = f.readlines() for line in lines: data.append(line.split()) N = int(data[0][0]) data = data[2:] atom_types, ...
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def is_some_keyword_in_text(text, keywords): """ >>> test_text = "What is the current price of Ethereum" >>> is_some_keyword_in_text(test_text, keywords=["price", "buy"]) True >>> is_some_keyword_in_text(test_text, keywords=["potato"]) False """ res = False lowered_text = text.lower(...
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import re def preprocess_mako(text): """ Mako template rendering treats line-initial /##+/ as comments that get ignored, but these are important for Markdown. Replace them with a substitution ${ s } where s is the hash sequence. """ return re.sub( r'(^|(?<=\n))(?P<lead>\s*)(?P<hash>#+)...
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def velocity(avg_slice_df, u_keys, norm_u_keys, u_reference): """Normalize the flow velocity vector by a reference velocity. Args: avg_slice_df (DataFrame): Averaged slice dataframe. norm_u_keys (list): Keys to assign to normalized velocity components. u_reference (float): Reference vel...
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import torch def _compute_ece(prob, bin_mean_prob): """Compute the expected calibration error (ECE). Args: prob: Tensor, shape (2,num_bins), containing the probabilities over the {incorrect,correct}x{0,1,..,num_bins-1} events. bin_mean_prob: Tensor, shape (1,num_bins), containing the aver...
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def merge_floats(values): """Return merged values as an average of floats (or None). Args: values: [str] of column values in sample equivalence class Returns: float: average of numeric values or None if no numeric values """ v_sum = 0 n_sum = 0 for v in values: # Try to convert all column val...
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import time def start_timecount() -> float: """Return the current time.""" return time.time()
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def create_SNN_hparams(hidden_layers=[30], learning_rate=0.001, epochs=100, batch_size=64, pair_size=32, activation='relu', optimizer='Adam', singlenet_l1=0, singlenet_l2=0, reg_term=0, feature_vector_dim=10, dropout=0, fp_length=100, fp_number=3, con...
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import re def get_version(version_file): """ Grabs the version from the version_file str path. Expected to be formatted as `__version__ = (#,#,#)`. PARAMETERS ---------- version_file The path to the file the version is located in. RETURNS ------- - The version as ...
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def get_maximum_fitness_instance(merged_population): """ small helper function returning the instance of a population with maximum fitness """ max_fit_inst = None max_biased_fitness = 0 for inst in merged_population: if max_biased_fitness < inst.fitness: max_fit_inst = ins...
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def replace_oov_words_by_unk(tokenized_sentences, vocabulary, unknown_token="<unk>"): """ Replace words not in the given vocabulary with '<unk>' token. Args: tokenized_sentences: List of lists of strings vocabulary: List of strings that we will use unknown_token: A string repres...
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def clean_names(function): """Clean function names. Args: function (str): a function name. Returns: str: A string with all characters lowered and only the last word if there are multiple period joined words. """ if function is not None: out = function.lower() ...
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import click def validate_scanner_list(ctx, param, value): """ Validate a comma-separated list of scanners and extract it into a list of groups and IDs. """ if not value: return None valid_groups = ctx.obj.scanner_groups scanners = [x.strip() for x in value.split(',')] if 'all' i...
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def solution(number: int) -> int: """ If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9. The sum of these multiples is 23. Finish the solution so that it returns the sum of all the multiples of 3 or 5 below the number passed in. :param number: :return: """ result...
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import re def to_seconds(value: str) -> int: """Convert time unit given as '<int> <s|m|h|d>` to seconds. :param value: input str :type value: str :raises ValueError: value must be given as '<int> <s|m|h|d> :raises ValueError: value must be > 0s :return: value given in seconds :rtype: int ...
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def unpack_traces(traces): """Returns states, actions, rewards, end_states, and a mask for episode boundaries given traces.""" states = [t[0].state for t in traces] actions = [t[0].action for t in traces] rewards = [[e.reward for e in t] for t in traces] end_states = [t[-1].next_state for t in traces] not_done_m...
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def get_folder_name_for_project(project_name): """ Construct a folder name from the given project name by converting to lower case and replacing spaces with underscores: My Project -> my_project """ return project_name.lower().replace(' ', '_')
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def is_valid_description(description): """Check if description is a string""" return isinstance(description, str)
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def device_permission(user, device): """ Internal method to check if 'user' can edit 'device'. """ if not user.is_authenticated: # anon return False elif user.is_staff: # admin/staff return True elif device.startswith(f"{user.username}/"): # owner return True
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def photorespiration_rate(gross_canopy_photosynthesis_rate, stomata_co2_concentration, co2_compensation_point): """ Equations 9.13 photorespiration_rate = gross_canopy_photosynthesis_rate * CO2_compensation_point / stomata_CO2_concentration Args: gross_canopy_photosynthesis_rate: stomata...
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from typing import OrderedDict def seconds_to_human(seconds): """ Convert seconds to human readable format like 1M. From Thomas Sileo's blog post How to convert seconds to human readable interval back and forth with Python: <https://myl.be/d4>. :param seconds: Seconds to convert :type second...
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import torch def preds_per_cat(targs,bin_preds,cat): """ Compares model predictions with ground-truth labels for multi-label classification. Returns a column-wise sum of predictions by category, for each true category. In the output table, the true category is the row and the predictions made are the colu...
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def get_id_lookup_from_demographics_file(demographics_df): """ Extract a lookup (Redcap ID -> NCANDA SID) from a demographics DataFrame. Expects a demographics_df outputted by `process_demographics_file`. """ return (demographics_df .reset_index() .set_index('study_id') ...
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