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from typing import Sequence def chg_modelqa(models: Sequence, ordinal: int, **kwargs) -> int: """ Information on the quality of the curve fit the intercept the ordinal date. Args: models: sorted sequence of CCDC namedtuples that represent the pixel history ordinal: standard python ordinal...
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def masktodecimal(upper_limit, lower_limit, num, k): """ This function converts mask to decimal using equation m = a +( b − a/2 k − 1) · m  paper link = "https://www.researchgate.net/publication/277604645_Genetic_Algorithm_using_Theory_of_Chaos" ... Attributes ...
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import ipaddress def _ipv6_mac(network): """ Get the MAC address from an auto generated IPv6 address """ # Example address used in comments: fe80::a021:27ff:fe00:d8 address = ipaddress.ip_interface(network).ip # Fully written out fe80::a021:27ff:fe00:d8 → fe80:0:0:0:a021:27ff:fe00:d8 # Remove t...
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def eco(): """ EcoSim output options """ return { 1: ("ECO_1", "EcoSim outputs") }
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def add_python_data(tuple): """This function returns a Python data structure as well.""" return [ tuple.get(0), tuple.get(1), [ 'first', { 'key' : 'value' } ]]
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import time def update_delay(alarm_time: str) -> int: """ Take an alarm time and calculates the time interval between the current time and the alarm time Keyword arguments: alarm_time (string) : Time of alarm in hh:mm as fetched from parameters in url Returns: delay (int) : time in secon...
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def get(path): """ Read & return the contents of the provided `path` with the given `content`.""" with open(path, encoding="utf-8") as file: return file.read()
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import yaml def yaml_read(path): """ Reads yaml from disk """ with open(path, "r") as fp: return yaml.load(fp, Loader=yaml.FullLoader)
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import functools def handle_exception(function): """ :param function: :return: """ @functools.wraps(function) def func(*args, **kwargs): try: return function(*args, **kwargs) except Exception as exe: return {"function": function.__name__, "message": ex...
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def expand_gray(x): """Reverse the effect of function compress_gray() Given a compressed 'gray' Golay code or cocode word, the function returns the original 'gray' word in code or cocode representation. """ return (x & 0x0f) + ((x & 0x30) << 6)
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def chunks(obj, size, start=0): """Convert `obj` container to list of chunks of `size`.""" return [obj[i : i + size] for i in range(start, len(obj), size)]
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def http_verb(dirty: str) -> str: """ Given a 'dirty' HTTP verb (uppercased, with trailing whitespaces), strips it and returns it lowercased. """ return dirty.strip().lower()
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def color_index(image, color): """Find the color index""" palette = image.getpalette() palette_colors = list(zip(palette[::3], palette[1::3], palette[2::3])) index = palette_colors.index(color) return index
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def isEdgeLocalizedWithPostProcessingAndLaundering(edge_id, edge, operation): """ APPLIES: SELECTION A 'inclusion rule' that includes AntiForensic, PostProcessing and Laundering Masks. Excludes Output, TimeAlteration, Transforms, Donors, and DeleteAudioSample. 'Blue' links override. :param edge_...
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import copy def trim_audio(A, start, stop): """Trim copy of MultiSignal audio to start and stop in seconds.""" B = copy.deepcopy(A) assert start < len(B) / B.fs, 'Trim start exceeds signal.' for c in range(B.channel_count): B.channel[c].signal = B.channel[c].signal[ int(start * B.f...
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import math def fermats_composite (n): """ Use fermats sum of squares algorithm to quickly derive a composite factor of n assuming n is neither odd or prime. for the first condition, it may sometimes be necessary to run a certain amount of trial divisions and then ensure that n is now odd before running a r...
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def StatsAlerter(values, maxThreshold, email_led_alert): """ This function checks if max is above threshold and raises the alerts :param values: Max values which need to be checked with the threshold value :param maxThreshold: Threshold value when crossed raises the flags :param email_led_alert: lis...
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from sys import version def get_release_number(): """ Gets the current release version. """ return version
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def all_values_unique(d): """Return whether no value appears more than once across all value sets of multi-valued mapping `d`.""" seen = set() for multivalue in d.values(): if any(v in seen for v in multivalue): return False seen.update(multivalue) return True
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def calculate_future_value(present_value, interest_rate, compounding_periods, years): """ Calculates the future value of money given the present_value, interest rate, compounding period, and number of years. Args: present_value (float): The present value interest_rate (float): The interest ...
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def wayburnSeader2Function(x): """ subject to −500 ≤ 500. The global minimum is located at x∗ = f{(0.2, 1), (0.425, 1)}, f(x∗) = 0. """ x1 = x['IndPosition0'] x2 = x['IndPosition1'] wayburn = (1.613 - 4*(x1 - 0.3125)**2 - 4*(x2 - 1.625)**2)**2 + (x2 - 1)**2 return wayburn
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import argparse def get_parameters(): """ Parse script arguments """ parser = argparse.ArgumentParser(prog='fs_seqs_executer.py') parser.add_argument('--exec_dir', type=str, default="build_test") parser.add_argument('--path_to_json', type=str, default="seqs") # Assume we are on exec dir ...
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import os def get_reference_from_pysam_alignmentFile( pysam_AlignmentFile, ignore_missing=False): """Extract path to reference from pysam handle Args: pysam_AlignmentFile (pysam.AlignmentFile) ignore_missing(bool) : Check if the file exists, if not return None Returns: pat...
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def align(value, m): """ Increase value to a multiple of m """ while ((value % m) != 0): value = value + 1 return value
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def get_ip(request): """ Attempts to extract the IP number from the HTTP request headers. """ key = "REMOTE_ADDR" meta = request.META # Lowercase keys simple_meta = {k.lower(): v for k, v in request.META.items()} ip = meta.get(key, simple_meta.get(key, "0.0.0.0")) return ip
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def format_scraped_json(data: str) -> str: """Formatting hacks to be able to parse the JSON from the script. """ return '\n'.join( map(lambda x: x.strip().replace('\'', '"'), data.splitlines())).replace(',\n}', '\n}').replace(', }', '}')
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import re def sanitize_title(title): """Generate a usable anchor from a title string""" return re.sub("[\W+]","-",title.lower())
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def get_tag_wrapper(save_attrs, tag_class): """Creates and returns wrapper for tags Args: save_attrs: If parameter is true, attributes of tag will be save, default False. tag_class: Tag class. Returns Wrapper for tags. """ class Wrapper: def __init__(self): ...
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def sort_variables(var): """Returns sorted variables in an alphabetical order """ variables_list = list(var) variables_name_list = [variable.name for variable in variables_list] max_str_length = max(set(map(len, variables_name_list))) for variable in variables_list: variable_name = varia...
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from os.path import dirname, join def read_key(file_name): """Retrieves a GitHub API key from a file. Parameters ---------- file_name : str Returns ------- key : str """ # Reads the first line of a file containing the GitHub API key # Usage: key = read_key('gh_key') ...
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from typing import Dict from typing import Any from typing import Tuple def set_process(node_id: str, process_def: Dict[str, Any], process_ref: str, process_name: str) \ -> Tuple[str, Dict[str, Any], str]: """Set the PLACEHOLDER to the given process name.""" process_def["process_id"] = process_name ...
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def dct2channels_last(image): """ Rearrange DCT image from [H,W] to [H//8, W//8, 64] """ assert len(image.shape) == 2, f"{image.shape}" assert image.shape[0] % 8 == 0, f"{image.shape}" assert image.shape[1] % 8 == 0, f"{image.shape}" block_view = (image.shape[0] // 8, 8, image.shape[1] // 8...
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def IsGoodTag(prefixes, tag): """Decide if a string is a tag @param prefixes: set of prefixes that would indicate the tag being suitable @param tag: the tag in question """ for prefix in prefixes: if tag.startswith(prefix): return True return False
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import requests def get_submissions(course_id, quiz_id, headers): """Creates a small list of jsons that can be made into a file very easily then converted to a dataframe for exploration This particular design is just for grabbing pagniated information from the api and returning it in a useful ...
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import random def unique_order_id_generator(instance, range_from=100000000000, range_until=1000000000000): """ This is for a Django project with order_id field """ new_order_id = random.randrange(range_from, range_until) Klass = instance.__class__ qs_exists = Klass.objects.filter(unique_orde...
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import random def integer(start, end, steps=1): """ Function integer Return a random integer Inputs: - start: minimum allowed value - end: maximum allowed value (inclusive) - steps: the interval from which to select the random integers Output: a string con...
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def bit_board_split(board): """Split a given board in a bit board for each player # Arguments board: matrix (7x7), required # Return Return a bit board of 56 of length, one for each player, which represents (in binary) the positions of the player on the board. """ p1_board,...
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import re def cleanlines(lines): """Remove comments and blank lines from splitlines output.""" # Clean comments. matchRE = re.compile('(.*?)(//|%|#)') for i in range(len(lines)): line = lines[i] match = matchRE.match(line) if match is not None: lines[i] = match.group(1) # Clean blank lines...
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import torch def apply_trans(x, trans): """Apply spatial transformations to input Attributes: x (torch.Tensor): Input Tensor trans (torch.nn.Module): Spatial Transformer module Returns: torch.Tensor: Output Tensor """ x = x.transpose(2, 1) x = torch.bmm(x, trans) ...
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import zlib def _adler32(fname): """Compute the adler32 checksum on a file. :param fname: File path to the file to checksum :type fname: str """ with open(fname, 'rb') as f: checksum = 1 while True: buf = f.read(1024*1024*8) if not buf: brea...
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def event_is_virtual(event): """ Determine if event is virtual. Produces a boolean.""" return 'location' in event and \ '@type' in event['location'] and \ event['location']['@type'] == "VirtualLocation"
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def time_str_from_datetime_str(date_string: str) -> str: """ Extracts the time parts of a datetime. Example: 2019-12-03T09:00:00.12345 will be converted to: 09:00:00.12345 :param date_string: :return: """ return date_string.split('T')[1]
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def create_regcontrol_settings_commands(properties_list, regcontrols_df, creation_action='New'): """This function creates a list of regcontrol commands, based on the properties list and regcontrol dataframe passed Parameters ---------- properties_list regcontrols_df creation_action Returns...
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def scope_guard(target): """Scope guard that forwards the target by the first argument""" def _decorator(wrapped_fn): def _wrapper(*args, **kwargs): with target: wrapped_fn(target, *args, **kwargs) return _wrapper return _decorator
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def _getProfile(APIConn, screenName=None, userID=None): """ Get data of one profile from the Twitter API, for a specified user. Either screenName string or userID integer must be specified, but not both. :param APIConn: authenticated API connection object. :param screenName: The name of Twitter us...
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def slicer(shp, idxs, var=None): """Obtain a list of slicers to slice the data array according to the selected data Parameters ---------- shp : tuple Data shape idxs : iterable Indexes of the selected data var : int, optional Data to be selected, in case of multidime...
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def finding_to_json(finding, scan_id, finding_id, detailed=False): """ :param finding: The vulnerability :param scan_id: The scan ID :param finding_id: The vulnerability ID :param detailed: Show extra info :return: A dict with the finding information """ summary = {'id': finding_id, ...
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def extract_features_in_order(feature_dict, model_features): """ Returns the model features in the order the model requires them. """ return [feature_dict[feature] for feature in model_features]
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def fix_trailing_doubles(liz): """ Workaround für das "Problem" der doppelten Kommentarzeile am Schluß ... """ last = None for i in range(len(liz)-1, -1, -1): if last is None: if liz[i]: last = liz[i] elif liz[i]: if liz[i] == last: ...
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def _IndentString(source_string, indentation): """Indent string some number of characters.""" lines = [(indentation * ' ') + line for line in source_string.splitlines(True)] return ''.join(lines)
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def create_success_response(return_data): """ Creates a standard success response used by all REST apis. """ count = 1 if isinstance(return_data, list): count = len(return_data) return { 'meta': { 'error': False, 'count': count }, 'data': retu...
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def get_wage(x): """extracts the hourly wage from the returned HTML; verbose because John sucks at regular expressions """ return float(x.split(">")[1].split("<")[0].replace("$","").replace("/hr",""))
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def add_feature(df_features, df_addition, columnName): """ Add a new feature to the df_feature DataFrame (output of assemble_timeseries_input()). df_addition must be a dataframe with the same shape as the nest counts. The index of df_features will be used as indexer into the df_addition DataFrame. "...
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def GetMissingOwnerErrors(metrics): """Check that all of the metrics have owners. Args: metrics: A list of rappor metric description objects. Returns: A list of errors about metrics missing owners. """ missing_owners = [m for m in metrics if not m['owners']] return ['Rappor metric "%s" is missing ...
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import torch def generate_batch(batch): """ Since the text entries have different lengths, a custom function generate_batch() is used to generate data batches and offsets, which are compatible with EmbeddingBag. The function is passed to 'collate_fn' in torch.utils.data.DataLoader. The input to ...
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def is_bigwig(fn): """ checks magic number to see if we're working with a bigWig file """ fh = open(fn, 'rb') magic = fh.read(4) if (magic == '&\xfc\x8f\x88') or (magic == '\x88\x8f\xfc&'): return True
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def get_converter_schema(converter: str, *args, **kwargs): """ Get conveter method from converter map https://werkzeug.palletsprojects.com/en/0.15.x/routing/#builtin-converter :param converter: str: converter type :param args: :param kwargs: :return: return schema dict """ if conv...
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def kl_loss(mu, covariance, prior_mu=0): """ KL-divergence loss using the shorthand notation in this paper: https://arxiv.org/pdf/1807.06358.pdf """ # inplace v_kl = mu.add(-prior_mu).pow(2).add_(covariance.exp()).mul_(-1).add_(1).add_(covariance) v_kl = v_kl.sum(dim=-1).mul_(-...
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def make_name(image): """Format output filename of the image.""" return image['name'][:-4]
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def to_words(content, words): """将id表示的内容转换为文字""" return ''.join(words[x] for x in content)
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def is_quoted(str): """ whether or not str is quoted """ return ((len(str) > 2) and ((str[0] == "'" and str[-1] == "'") or (str[0] == '"' and str[-1] == '"')))
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import hashlib def get_hash_from_file(file_path, byte_output=False): """Taking in a path to a file as an argument, it returns the SHA-256 hash of the file via a string.""" sha256 = hashlib.sha256() with open(file_path, 'rb') as file_to_hash: buffer = file_to_hash.read(100000) while len(buf...
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def isPub(low): """returns true if column is for video game publishers""" return low.find("publish") != -1
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from typing import List def _make_maze(size: int) -> List[List[int]]: """Creates a square maze of a given size where each room is connected to the four adjacent ones.""" maze: List[List[int]] = [] for row in range(0, size): thisrow = [] for col in range(0, size): adjacent ...
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from typing import List from typing import Dict def track_path_to_header( book_id: int, book_url: str, book_title: str, gpx_name: str ) -> List[Dict]: """ Format the header breadcrumbs - refer to templates/layout.html. Args: book_id (int): Book ID based on the 'shelf' database table. ...
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import math def is_prime(n: int) -> bool: """ Function to check for a prime number Return TRUE if 'n' is prime number. False otherwise :param n: :return: """ result: bool = True if n <= 1 or (n % 2 == 0 and n > 2) or (n % 3 == 0 and n > 3): result = False if n == 2: ...
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def byte_to_str(value) : """ byte 转 str。 :param value: byte 值 :return: str 字符串 """ if isinstance(value, bytes) : value = bytes.decode(value) return value
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def decode_one_uni(text, i): """ decode_one implementation for unicode strings """ return ord(text[i]), i+1
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import os import subprocess def get_keyframes(video_path): """ Uses an FFmpeg command to extract key frames from the specified video file. Saves key frame times to a file. ... Args: video_path: the path to the video file to extract key frames from Returns: key_frame_dir: the directory storing the extracted ...
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def calcFallVelocity(rho_s, D_s): """ Calculates fall velocity of sediment. Paramters --------- rho_s : sediment density [kg/m^3] D_s : sediment diameter [m] Returns ------- w - fall velocity of sediment [m/s] Notes ----- Equation used is from Ferguson and Church [2004]. C1 and C2 values correspond to f...
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import torch def get_surface_normalv2(xyz, patch_size=5): """ xyz: xyz coordinates patch: [p1, p2, p3, p4, p5, p6, p7, p8, p9] surface_normal = [(p9-p1) x (p3-p7)] + [(p6-p4) - (p8-p2)] return: normal [h, w, 3, b] """ b, h, w, c = xyz.shape half_patch = patch_si...
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def total_duration_parser(line): """ Parses lines of the following form: Total duration: 5248.89s :param line: string :return: float containing total duration in seconds """ try: return float(line.rstrip('s')[len('Total duration:'):].strip()) except: return 0.
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import argparse def get_args(): """ Get command line arguments """ parser = argparse.ArgumentParser(description="Arguments for data exploration") parser.add_argument("-m", dest="medinfo", action="store_true", help="Process the...
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from typing import Callable def newton_step(f: Callable[[float], float], f_prime: Callable[[float], float], x_0: float) -> float: """ Performs a single iteration of Newton's Method Parameters ---------- f The function to determine the root of. f_prime ...
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def ratelimit(bucket_name): """Declare a ratelimited REST route. """ # NOTE: ratelimits here are the same as discord's # per-user, per-route, etc. # Needs more thinking. def decorator(handler): async def wrapped(endpoint, request): return await handler(endpoint, request) ...
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from functools import reduce import numpy def combine_dempsters_rule(masses): """ Implements Dempster's rule of combination. The method makes use of the Moebius transformation and Dempster's rule of commonalities for a faster calculation of the combined masses. For more information see Kennes, R., Com...
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import argparse def parse_args(args=None, namespace=None): """Constructs an argument parser and parses the arguments. The default behavior is to parse the arguments from `sys.argv`. A dictionary is returned rather than the typical namespace produced by `argparse`.""" formatter = argparse.ArgumentDefau...
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from sys import prefix import os def make_filename(title, ext, dir_prefix=None): """Spaces/colons/slahses to underscores; adds extension given. Want to avoid colons in filenames for Windows, fix the URL via the YAML header with a permalink entry. Likewise want to avoid slashes in filenames as causes...
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def _prefix_confound_filter(prefix, all_compcor_name): """Get confound columns by prefix and acompcor mask.""" compcor_cols_filt = [] for nn in range(len(all_compcor_name)): nn_str = str(nn).zfill(2) compcor_col = f"{prefix}_comp_cor_{nn_str}" compcor_cols_filt.append(compcor_col) ...
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def get_name(tc_code): """ Get the names of testcases :param tc_code: a list containing every test case's .xml text as separate elements (the output of parse_test_cases) :return: a list containing all test case names """ header_block = tc_code.find_all("header")[0] name = header_block.find("...
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import random def random_word(histogram): """Returns a random word from a histogram, which represents word frequency for a source text. Uses UNIFORM DISTRIBUTION, not stochastic. Param: histogram(dict) Return: word(str) """ word = "" words = list(histogram.keys()) random_index...
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def utmify_email_url(url: str, campaign: str) -> str: """ Returns a versioned absolute asset URL (located within PostHog's static files). Example: {% utmify_email_url 'http://app.posthog.com' 'weekly_report' %} => "http://app.posthog.com?utm_source=posthog&utm_medium=email&utm_campaign=week...
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def timestamp_representer(dumper, timestamp): """Custom represented for using Timestamp type in data_regression testing""" return dumper.represent_data(timestamp.strftime("%Y-%m-%d %H:%M:%S.%f"))
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def _unpoly_target(self) -> str: """ Comma-separated string of Target selector names of the element(s) Unpoly is swapping #content_panel,#breadcrumb_bar,.item_list """ return self.META.get('HTTP_X_UP_TARGET', '')
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def lucas(n): """Function that provides the nth term of lucas series.""" x, y = 2, 1 for i in range(n - 1): x, y = y, x + y return x
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import sys import shutil import os def _get_drive_usage(path): """ Use Python libraries to get drive space/usage statistics. Prior to v3.3, use `os.statvfs`; on v3.3+, use the more accurate `shutil.disk_usage`. """ if sys.version_info >= (3, 3): usage = shutil.disk_usage(path) retu...
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def gas_constant(R, mu): """ Gas constant of natural gas, J/(kg*K) :param R: (float) Universal gas constant, J/(kmole*K) :param mu: (float) Molar mass of natural gas, kg/kmole :return: (float) Gas constant of natural gas, J/(kg*K) """ return R / mu
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def is_even(num): """Test whether a given number is even or not. Tests whether a given number is even or not using the modulo operator. Args: num (int): The number to test whether it is even Returns: bool: True if num is even, otherwise False """ return True if num % 2 == 0 ...
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def map_link_vector_components_to_node_raster(grid, data_at_link): """Map (x,y) vector components of data_at_link onto nodes. Examples -------- >>> from landlab import RasterModelGrid >>> rmg = RasterModelGrid((3, 4)) >>> link_data = np.arange(rmg.number_of_links) >>> x, y = map_link_vector...
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def engine_options_from_config(config): """Return engine options derived from config object.""" options = {} def _setdefault(optionkey, configkey): """Set options key if config key is not None.""" if config.get(configkey) is not None: options[optionkey] = config[configkey] ...
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def get_path_dicts(key): """gets the right training data and model directory given the demo""" td_dict = { 'company': 'data/company/company_full.json', } td_lookup_dict = { 'company': 'data/company/company_full_lookup.json', } td_ngrams_dict = { 'company': 'data/company/c...
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def shift_axis(a11, a12, a22, a1, a2, a0): """ a11*x^2 + a22*y^2 + 2a1 * x + 2a2 * y + a0 = 0 (x, y)' = (x2, y2)' + B b11*x2^2 + b22*y2^2 + 2b1 * x2 + 2b2 * y2 + b0 = 0 return [B, [b11, 0, b22, b1, b2, b0]] """ if a11 != 0: if a22 != 0: return [[a1 / a11, a2 / a22], [a11...
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def df_variables_info(df): """ This function gives information about the df: number of observations, variables, type and number of variables params: df is a dataframe from which we want the information return: NONE """ # Number of variables print('Number of variables:', df.shape[1]) ...
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def movingstats(series, interval): """Calculating stats of a moving range""" movingaverage = [] movingstd = [] for i in range(1,len(series)-interval): movingaverage.append(series[i:i+interval].mean()) movingstd.append(series[i:i+interval].std()) return (movingaverage, movingstd)
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import os import stat def write_file(path, blob): """Writes a blob into a file.""" # Files originally installed from CIPD packages are read-only, need to make # them writable before overwriting. try: st = os.stat(path) os.chmod(path, st.st_mode | stat.S_IWUSR) except OSError: pass # doesn't exis...
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def _delete_duplicates(l, keep_last): """Delete duplicates from a sequence, keeping the first or last.""" seen=set() result=[] if keep_last: # reverse in & out, then keep first l.reverse() for i in l: try: if i not in seen: result.append(i) ...
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def calculate_final_position_of_sliding_window(num_seeds, maximum_rank=500): """ Calculate the final position where the sliding position will start its calculations. maximum_rank = The maximum number of positions that we want to include in the calculations """ # Calculate the ...
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def disable(pihole, time=None) -> dict: """ Permit disable protection """ _disable_url = pihole.url + "api.php" _params = {"disable": 0, "token": pihole.token} if time: _params.update({"disable": time}) return pihole.session.get(_disable_url, params=_params).json() return pih...
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def replace(val, lst): """ Replace patterns within `val`.""" for pat, repl in lst: val = val.replace(pat, repl) return val
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def rindex(list, value): """Find the last-occurring index of `value` in `list`.""" for i in range(len(list) - 1, 0, -1): if list[i] == value: return i return -1
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