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def transpose(mat): """transpose matrix transpose A[i][j]=A.T[j][i] :param mat: original matrix :return: matrix after transpose """ mat_t = [[0 for y in range(len(mat))] for x in range(len(mat[0]))] for i in range(len(mat)): for j in range(len(mat[0])): mat_t[j][i] = mat[...
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def _get_api_version_from_accept_header(api_version_header: str): """Split input string and return the api version. Input must be of the format: [something];version=[some version] :param str api_version_header: value of 'Accept' header :returns: api version specified in the input string. ...
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def factorial_recursion(number): """Calculates factorial using recursion. :param number: A number for which factorial should be calculated. :return: Factorial number. >>> factorial_recursion(-1) 1 >>> factorial_recursion(0) 1 >>> factorial_recursion(1) 1 >>> factorial_recursion...
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def parse_date(date_str): """ Given a date string in YYYY-MM form (or the underscore separated equivalent), return a pair of (year, month) integers """ year_str, month_str = date_str.replace("_", "-").split("-")[:2] assert len(year_str) == 4 assert len(month_str) == 2 return int(year_str...
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from typing import Union from typing import Sequence import fsspec def _get_fs_sep_prefix_paths(path: Union[str, Sequence[str]]): """Identify separator and prefix for various filesystems. In the case of local files, prefix is set to "" if original input path is not prefixed with the file:// prefix. "...
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def get_name_of_env_var(key: str = "") -> str: """Returns the name of the Xanadu Cloud environment variable associated with the given key.""" return f"XANADU_CLOUD_{key}"
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def int_to_16bit(i): """ return an int as a pair of bytes """ return ((i >> 8) & 0xff, i & 0xff)
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def pad(bytestring, k=16): """ Pad an input bytestring according to PKCS#7 """ l = len(bytestring) val = k - (l % k) return bytestring + bytearray([val] * val)
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def serialize_str_list(name, indent, elements, line_len=78): """ Given a list of strings, serialize it with the specified initial indent, with list members SQUOTEd and separated by COMMA SPACE. Return the serialized list as a list of one or more lines, each of length not exceeding line_len. Newlin...
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def parse_genome_pos(genome_pos): """ Parse genome position in format chrom:start-end and returns the tuple chrom, start, end """ if not genome_pos: return None, None, None chrom, pos = genome_pos.split(":") start, end = pos.split("-") return chrom, start, end
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import itertools def dict_product(dicts): """ >>> list(dict_product(dict(number=[1,2], character='ab'))) [{'character': 'a', 'number': 1}, {'character': 'a', 'number': 2}, {'character': 'b', 'number': 1}, {'character': 'b', 'number': 2}] """ return (dict(zip(dicts.keys(), x)) for x ...
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def headers_add_host(headers, address): """ If there is no Host field in the headers, insert the address as a Host into the headers. :param headers: a 'dict'(header name, header value) of http request headers :param address: a string represents a domain name :return: headers after adding """ ...
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def date_range_to_seconds(datetime1, datetime2): """ Computes the number of seconds between two datetime """ return (datetime2 - datetime1).total_seconds()
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def YilmIndexVector(i, l, m): """ Compute the index of a 1D array of spherical harmonic coefficients corresponding to i, l, and m. Usage ----- index = YilmIndexVector (i, l, m) Returns ------- index : integer Index of a 1D array of spherical harmonic coefficients correspond...
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def is_dict(klass): """ Determine whether klass is a Dict """ return klass.__origin__ == dict
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import math def _nan_equal(a, b): """Return True if a and b are both the same kind of NAN. >>> _nan_equal(Decimal('NAN'), Decimal('NAN')) True >>> _nan_equal(Decimal('sNAN'), Decimal('sNAN')) True >>> _nan_equal(Decimal('NAN'), Decimal('sNAN')) False >>> _nan_equal(Decimal(42), Decima...
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def _padded_hex(i, pad_width=4, uppercase=True): """ Helper function for taking an integer and returning a hex string. The string will be padded on the left with zeroes until the string is of the specified width. For example: _padded_hex(31, pad_width=4, uppercase=True) -> "001F" :param i: integ...
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def Inherit(option_obj): """Clone an :class:`Option` instance for the purposes of inheritance. The returned instance has all the same properties as the input :class:`Option` and shares items such as the default value. Use this to avoid redefinition of reused options. :param option_obj: :class:`Opti...
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import requests def fetchAPI(public_api): """ Fetches price data from centralized public web API endpoints Returns: (str) ticker price from public exchange web APIs Input: (list of str) public api endpoint with any necessary json parsing keywords """ try: # Parse list input end...
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def extract_times_from_records(simulation_records, warm_up_time): """Get the required times (waiting, service, blocking) out of ciw's records where all individuals are treated the same way. This function can't distinguish between class 1 and class 2 individuals. It returns the aggregated waiting time, s...
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import json def parse_dict_ocr(result): """Function to parse dict or JSON OCR data. :param result: Fetched dict OCR data :type result: requests.models.Response :return: Parsed OCR data :rtype: list """ ocr = [] if isinstance(result, bytes): as_string = result.decode('utf-8') ...
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from typing import Union import math def check_nan(data: Union[int, float]) -> Union[str, float, int]: """Check if a number is Nan. Returns a string that can be JSON serialised. Args: data: Number Returns: str, float, int: Returns NA if not a number else number """ if math.is...
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import copy def deep_copy(*args): """ Auxiliary function to perform a deep copy Since python ``pass'' some values by reference and also make some attributions by reference (swallow copy), without performing a deep copy of some variables (like the grid matrix) we may face unexpected results by hav...
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def dhcp_option119(fqdn): """Convert a FQDN to an hex-encoded DHCP option 119 (DNS search domain list, RFC 3397). >>> dhcp_option119("tx1.blade-group.net") '037478310b626c6164652d67726f7570036e657400' """ result = "" for component in fqdn.split("."): result += "{:02x}{}".format(len(compo...
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import click def label_or_value_column_name(option_name, option_value, column_type, table): """ Parses a ``--label`` or ``--value`` option value. Possibilities are that it's a string that matches a column name, that it's a column index (0 being the first column, -1 being the last), or that it's bl...
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import requests def _http_get(*args, **kwargs): """Make HTTP GET request with some defined cookies Params: all 'requests.get' params Returns: see 'requests.get' docs """ return requests.get(*args, cookies={ # load mobile version instead of desktop site "mvp": "p" ...
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def get_keys(d, *keys): """Takes a dict and returns a new dict where only given keys are present. If there is no some key in original dict, then it will be absent in the resulting dict too. """ return {key: value for key, value in d.items() if key in keys}
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def get_http_request(request, slug=None): """ Get http request values :param request: :param slug: Checks if slug is provided :return: Content/model type, request parameter and user creator :rtype: Strings """ model_type = request.GET.get('type') url_parameter = request.GET.get('pk'...
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def binary_search(array, mz, error_tolerance=1e-5): """Binary search an ordered array of objects with :attr:`mz` using a PPM error tolerance of `error_tolerance` Parameters ---------- array : list An list of objects, sorted over :attr:`mz` in increasing order mz : float The mz t...
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def climb_stairs(stair_count, max_steps): """ Given n number of stairs, you can climb at most m stairs at a time. For instance, for m=3, you can climb 1, 2, or 3 stairs at a time. Count the number of different ways that you can reach the top. :param stair_count: No of stairs to climb. :param ma...
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def subgraph_by_types(graph, types, typing): """return the subgraph composed of nodes of right types""" right_nodes = [node for node in graph.nodes() if typing[node] in types] new_graph = graph.subgraph(right_nodes) inclusion_mono = {node: node for node in new_graph.nodes()} return (new_graph, inclu...
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def get_cell_value(worksheet, cell): """ Gets the value of a specific cell of the current worksheet. :param worksheet: Current worksheet to manipulate. :param cell: A string or a tuple which denotes the cell to access. :return: The value of a specific cell of the current worksheet. """ if t...
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import hashlib def sha256_hash(val): """ Sha256 hash of text data. """ return hashlib.sha256(val.encode('utf-8')).hexdigest()
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def is_in_rule_list(elem, rulelist): """ Check for input elem in rulelist, return boolean. """ for rule in rulelist: if elem in rule: return True return False
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def _collapse_false(explanation): """Collapse expansions of False So this strips out any "assert False\n{where False = ...\n}" blocks. """ where = 0 while True: start = where = explanation.find("False\n{False = ", where) if where == -1: break level = 0 ...
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import platform def get_command(command): """ @brief Ensures command can be executed on each platform @param command The commands name @return A platform appropriate command """ if platform.system() == "Windows": command += ".exe" return command
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def count_feature_types(data): """ Get the dtype counts for a dataframe's columns. """ df_feature_type = data.dtypes.sort_values().to_frame('feature_type')\ .groupby(by='feature_type').size().to_frame('count').reset_index() return df_feature_type
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import math def factorize(number): """ Factorizes number into two near integers. """ x = math.floor(math.sqrt(number)) y = math.ceil(number / x) return (x, y)
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from Array import min_in_subarray, max_in_subarray def maximize_profit(prices): """ Algorithm: 1. Find MINIMUM price in whole array (0 to `len - 1`), say, `min_price` at index `i_min`. Now find MAXIMUM price in array segment (`i_min + 1` to `len - 1`), say, `max_price` at index `i_max`, ...
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def wraps(func): """ Nearly identical to functools.wraps, except that it also maintains the ``__wraps__`` attribute, which will always be the origin function. """ def wrapped(wrapper): actual = getattr(func, '__wraps__', func) for attr in ('__module__', '__name__', '__doc__'): ...
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from typing import Union def spend_pool( annual_income: Union[int, float], net_worth: Union[int, float], ) -> Union[int, float]: """Calculates the spend capacity per annum of any single investor. Args: annual_income (Union[int, float]): Annual income net_worth (Union[int, float]): Net...
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def config_map(configmap, config): """ Map the config provided to PGWare to the client format Map format: {ADAPTER_KEY: [PGWARE_KEY, DEFAULT_VALUE] | ...} """ out = dict(zip(configmap.keys(), [None] * len(configmap))) for key, definition in configmap.items(): out[key] = config.get(*defi...
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def first(seq): """ Returns the first element in the sequence `seq`. """ return seq[0]
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def is_banned(subreddit, user): """ Lookup whether Reddit user is banned from subreddit :param subreddit: praw.Subreddit instance :param user: praw.Redditor instance :return: True if banned, False if not banned """ url = 'r/{}/about/banned/'.format(subreddit.display_name) params = {'uni...
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def memoize(fun): """Memoizes a function of one argument.""" the_dict = {} def wrapper_decorator(*args, **kwargs): assert len(args) == 1, "Only works with one argument" if args[0] not in the_dict: the_dict[args[0]] = fun(args[0]) return the_dict[args[0]] return wrappe...
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def read_smiles(smiles_file): """ Read a list of SMILES from a line-delimited file. """ smiles = [] with open(smiles_file, 'r') as f: smiles.extend([line.strip() for line in f.readlines() \ if line.strip()]) return smiles
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def get_relative_delta(new, last): """ :param new: float New value :param last: float Last value :return: float Increase (or decrease) since last value """ if new is None or last is None: # cannot produce result return 0.0 new = float(new) last = float(...
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import hashlib def getSha224Hash(message): """ Get SHA-224 digest of a message """ if message is not None: _m = message.encode('U8') return hashlib.sha224(_m).hexdigest() else: return ''
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import json def deserialize(data): """ Required for a data format plugin. Converts JSON into the Python objects used by `sofine`. """ return json.loads(data)
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import glob import click def locate_file_by_seq(seq, tag, ext): """find file matching current sequence number""" m = glob.glob('*_*_{}{}{}'.format(seq, tag, ext)) if not m: click.echo("no file with sequence {} found!".format(seq)) return if len(m) > 1: click.echo("found more th...
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import re def extract_pages_info(pages: str) -> dict: """Extracts the total number of pages given string input in format <digit>-<digit> :param pages: The pages range :return: Tuple start_page, end_page, total_pages """ pages_lst = re.findall(r"\d+", pages) if pages_lst: start_page = i...
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def setGraph(nCount, edges): """ Boilerplate method to set graph returns graph :param: nCount number of nodes in graph - n nodes :param: edges list of edges in graph """ g=dict() # setting the nodes # create dict with key and value as node for _t,_e in edges: if _t not i...
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import traceback def internal_error(_): """Return a custom 500 error.""" return 'Sorry, unexpected error: {}'.format(traceback.format_exc()), 500
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import math def probability_of_failure_for_failure_rate(f): """ Given a failure rate f, what's the probability of at least one failure? """ probability_of_no_failures = math.exp(-f) return 1.0 - probability_of_no_failures
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import re def normalize_simapro_formulae(formula, settings): """Convert SimaPro formulae to Python""" def replace_comma(match): return match.group(0).replace(",", ".") formula = formula.replace("^", "**") if settings and settings.get('Decimal separator') == ',': formula = re.sub('\d,\...
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def jaccard_similarity(first, second): """ Given two sets, returns the jaccard similarity between them :param first: a set :param second: a set :return: the similarity as a double """ return len(first & second) / len(first | second)
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def swap_header_axis(h, a0, a1): """ Swaps header keywords between dimensions. Affects only keywords 'NAXIS', 'CRPIX', 'CRVAL', 'CDELT', 'CUNIT', 'CTYPE'. Parameters ---------- h : dict The header to update a0 : int First index to swap from a1 : int Second index ...
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def num_lecture_hours(section: tuple[str, str, tuple]) -> int: """Return the total number of lecture hours per week. Preconditions: - The input matches the format for a section described by the assignment handout. Hint: you can use ".hour" to access the hour attribute of a datetime.time value. ...
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from typing import Dict from typing import List def _load_ebookconvert_params(dict_: Dict) -> List[str]: """Loads ebookconvert command line parameters from a dictionary. Prepends -- to parameters that are missing it, making -- optional within the ebookconvert_params block of the project file. Args: ...
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from typing import Container def get_mag_frequency(plate, speed): """Determine frequency for KF operation Based on plate type and the desired KF speed, determine the frequency for the KF operation. Needed for `mix` and `release` operations. Parameters ---------- plate: Container Cont...
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import re def valid_email(email): """Checks if email is valid""" # accepts emails following x@x.x format email_re = re.compile(r'^[\S]+@[\S]+\.[\S]+$') return not email or email_re.match(email)
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def urlpath(url:str) -> str: """ Get url's path(strip params) """ return url.split('?', 1)[0]
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def strip(raw_input): """Strip strings, convert NaN and None to empty string""" if raw_input is None or raw_input == "NaN": return "" return raw_input.strip()
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from pytz import all_timezones_set, country_timezones, country_names def find_timezone_name(tz_name): """ Return list of matching timezones by name, country code, or country name. Search is case insensitive. """ if tz_name in all_timezones_set: return [tz_name] # Case insensitive match...
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def C_to_K(temperature_in_C): """Convert from celsius temperature to kelvin Arguments: temperature_in_C: temperature in degrees celsius Returns: temperature_in_K: temperature in Kelvin """ return temperature_in_C + 273.15
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import random def gen_lister(minLength, maxLength): """Generate a list of 1s, with a random length between the given ranges""" if type(minLength) != int: raise OSError if type(maxLength) != int: raise OSError listLength = random.randint(minLength, maxLength) listerList = [] cou...
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import logging def get_null_logger(module_name): """Gets a logger with a NullHandler that actually does no logging Args: **module_name (str)**: Name of the module requesting the logger Returns: A logger using a NullHandler """ logger = logging.getLogger(module_name) logger.se...
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import re def to_camel_case(string: str) -> str: """ Converts a string from snake_case to camelCase. :param string: string in snake_case notation :return: `string` converted to camelCase """ if string.find('_') == -1: return string return re.sub( r'(.)(_)(.)', lam...
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def imgSameSize(img1, img2): """Check if two images have the same size.""" dimX1, dimY1 = img1.shape dimX2, dimY2 = img2.shape if (dimX1 == dimX2) and (dimY1 == dimY2): return True else: return False
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from datetime import datetime def normal_time_to_datetime(normal_time, day, month, year): """Converts normal time format to a datetime object Arguments: normal_time {string} -- normal time day {int} -- normal time day month {int} -- normal time month year {int} -- normal time ...
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def sort_array(to_sort: list) -> list: """Sorts to_sort using the bubble sort algorithm""" sorted = to_sort.copy() for i in range(len(sorted)): for j in range(len(sorted) - 1): if sorted[j] > sorted[j + 1]: sorted[j], sorted[j + 1] = sorted[j + 1], sorted[j] ret...
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import math def get_angle_from_vector(vector2): """ Returns the angle from X+ axis to the given vector """ return math.atan2(-vector2[1], vector2[0]) * (180/math.pi)
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def search(list_data: list, key: int, left: int = 0, right: int = 0) -> int: """ Iterate through the array to find the index of key using recursion. :param list_data: the list to be searched :param key: the key to be searched :param left: the index of first element :param right: the index of las...
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def extract_squeue_format_D(value: str) -> int: """Extracts the node count `%D` from `squeue` output. :param value: Node count as string. """ return int(value)
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def tiltCompensation(x, y, z, stage_tilt): """ Corrects z for stage tilt. This is pretty simple, but it is factored out to make for the benefit of external modules. """ return z + stage_tilt[0] + stage_tilt[1]*x + stage_tilt[2]*y
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def get_report(analytics, VIEW_ID): """Queries the Analytics Reporting API V4. Args: analytics: An authorized Analytics Reporting API V4 service object. Returns: The Analytics Reporting API V4 response. """ return analytics.reports().batchGet( body={ 'reportRequests': [ ...
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def check_unordered_list(line): """ Check whether the line is unordered list, if it is, change it into html format :param line: str, a line in markdown file :return: boolean, whether a line is unordered list str, the line in html format """ count_space = 0 for char in line: ...
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def npm_homepage_url(namespace, name, registry='https://www.npmjs.com/package'): """ Return an npm package registry homepage URL given a namespace, name, version and a base registry web interface URL. For example: >>> assert npm_homepage_url('@invisionag', 'eslint-config-ivx') == 'https://www.npmjs...
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def find_escape_floor(pac_mine, pac_their, scene): """ Find an escape floor which will save our pac from being eaten. """ # Shortcuts escapes = scene['escape'] my_x = pac_mine['position'][0] my_y = pac_mine['position'][1] their_x = pac_their['position'][0] their_y = pac_their['posit...
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import torch import math def max_dist(traj: torch.Tensor, traj_gt: torch.Tensor, masks: torch.Tensor) -> torch.Tensor: """ Computes max distance of a set of trajectories with respect to ground truth trajectory. :param traj: predictions, shape [batch_size, num_modes, sequence_length, 2] :param traj_gt...
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def apply_row_number(df_ordered, window): # pylint: disable=unused-argument """ROW_NUMBER Window Function Determines the ordinal number of the current row within a group of rows, counting from 1, based on the ORDER BY expression in the OVER clause. If the optional PARTITION BY clause is present, the o...
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def exchangeable_value(budget, exchange_rate, spread, denomination): """ :param budget: float - the amount of your money you are planning to exchange. :param exchange_rate: float - the unit value of the foreign currency. :param spread: int - percentage that is taken as an exchange fee. :param denom...
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def convert_netmask_to_cidr(netmask): """ Converts Netmask to cidr (255.255.255.0 => 24) Args: netmask (str): IP Netmask Returns: cidr (int): IP cidr """ return sum([bin(int(x)).count(u"1") for x in netmask.split(u".")])
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def get_user(rmine, username): """Get the user ID from the provided user name""" users = rmine.users.query_to_list(name=username) if not users: raise RuntimeError('Unknown user %s' % username) return users[0].id
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import base64 def download_data(data): """ Download data in .csv format Args: data (`pd.DataFrame`): A pandas dataframe Returns: str: A href link to be fed into the dashboard ui. """ to_download = data.to_csv(index=False) b64 = base64.b64encode(to_download.encode()).decode(...
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def is_skinned(joint): """ Returns True if the given joint is being used for any skinning """ return len(joint.outputs(type='skinCluster')) > 0
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from typing import Dict from typing import Any from typing import Optional def _extract_locals( locals: Dict[str, Any], filter_out_nulls: Optional[bool] = True ) -> Dict[str, Any]: """Extract arguments from local variables. If input dictionary contains `kwargs`, then it will not be included to the res...
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def tupleize(obj): """ Converts into or wraps in a tuple. If `obj` is an iterable object other than a `str`, converts it to a `tuple`. >>> tupleize((1, 2, 3)) (1, 2, 3) >>> tupleize([1, 2, 3]) (1, 2, 3) >>> tupleize(range(1, 4)) (1, 2, 3) Otherwise, wraps `obj` in ...
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import re def smart_title(value): """Converts a string into titlecase.""" """Excludes [a, an, the, and, but, or, for, nor, of]""" # strip smart single quotes t = re.sub('\\u2018|\\u2019','\'', value.title()) # fix the plural t = re.sub(r'([a-z])\'([A-Z])', lambda m: m.group(0).lower(), t) ...
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def get_set_bits(number: int) -> int: """ hitung jumlah bit angka 1 >>> get_set_bits(25) 3 >>> get_set_bits(52132) 8 >>> get_set_bits(-2) Traceback (most recent call last): ... ValueError: Angka tidak boleh negatif """ if number < 0: raise ValueError("Angka tidak ...
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def sbg_survival_rate(x, a, b): """ Probability that a customer alive at time x-1 is still alive at time x """ return (b + x - 1) / (a + b + x - 1)
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def calc_current(params, an, ca): """ Calculates the external current from the user inputs. If a C-rate is given, calculate the battery capacity and convert this to a current. If i_ext is given, convert the units to A/m2. """ # Battery capacity is the lesser of the anode and cathode capacities. ...
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import random def can_reciprocate(person, contact, model): """ Determines whether or not the specified person can form a reciprocal link with the specified contact. Please note that this function is different than can_link_to() because this project's user-selectable requirements have already been...
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import torch def variance(data:torch.Tensor) -> torch.Tensor: """ Compute the variance for given input data. Parameters ---------- data: torch.Tensor input data Returns ------- variance (torch.Tensor) """ return data.var(-1)
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def Radio2NormOption_Y_Variable(argument): """Dictionary for switching the normalisation options in the radio box""" switcher = { 0: 'Raman_Intensity', 1: 'Vec_Norm_Intensity', 2: 'std_var_Norm_Intensity', 3: 'Zero_to_One_Intensity' } return switcher.get(argument, 'k-')
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from pathlib import Path def check_file_exists(path) -> bool: """ Checks if file exists at path :param path: :return: """ if isinstance(path, str): path = Path(path) return path.exists()
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def highlight_source(linenumber, index, lines, offset=None, text_range=None): """Extracts a few relevant lines from a file content given as a list of lines, adding line number information and identifying a particular line. When dealing with a ``SyntaxError`` or its subclasses, offset is an integer ...
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from typing import Counter def document_frequency(bags_of_features): """ Find all the distinct features in many bags of features, and how often each occurs (in how many bags each occurs) :param bags_of_features: iterable of Counters :return: Counter mapping features to their document frequencies ...
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def is_comment(line): """Lines starting with "#" are comments. """ return line.strip().startswith('#')
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def get_requirements(source): """Get the requirements from the given ``source`` Parameters ---------- source: str The filename containing the requirements """ with open(source, 'rt') as file: return file.readlines()
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