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import hashlib def encrypt(password): """Encrypt a plain text password. :param password [str]: plain text password :returns [str]: SHA256-encrypted password """ return hashlib.sha256(password.encode('utf-8')).hexdigest()
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def digit_arr(n): """ Given a number, this function returns an array with the digits of the given number """ return list(str(n))
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def _find_largest_segment(segments): """Find the largest segment given a list of start and end indices of segments Args: segments: a list of start and end indices Returns: longest_segment: the start and end indices of the longest segment """ segment_list = zip(segments[:-1], s...
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def isLowerHull(dx, dy): """ Checks if a line is part of the lower hull :param float dx: :param float dy: """ lowerHull = (dx < 0.0) or (dx == 0.0 and dy < 0.0) return lowerHull
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def select_scan_no_qc(scans_meta): """Select a scan from available scans in case there is not an available QC. Args: scans_meta: DataFrame containing the metadata for images to choose among Returns: DataFrame row containing selected scan """ # We choose the first scan (not containi...
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def to_ascii20(name: str) -> str: """ Converts the name to max 20 ascii-only characters. """ # ascii characters have codes from 0 to 127 # but 127 is "delete" and we don't want it return "".join([c for c in name if ord(c) < 127])[:20]
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def _hasExplicitOid(store, table): """ Does the given table have an explicit oid column? """ return any(info[1] == 'oid' for info in store.querySchemaSQL( 'PRAGMA *DATABASE*.table_info({})'.format(table)))
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def pdir(obj): """ Puts dir of an object on stdout """ print(dir(obj)) return obj
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def linux_linebreaks(source): """Convert Windows CRLF, Mac CR and <br>'s in the input string to \n""" result = source.replace('\r\n', '\n').replace('\r', '\n') # There are multiple valid variants of HTML breaks result = result.replace('<br>', '\n').replace('<br/>', '\n').replace('<br />', '\n') retu...
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def process_data(data, dict_): """This function process the data for the optimization process and returns the different arrays for the upcoming optimization. Parameters ---------- data: pandas.DataFrame Data set to perform the estimation on. Specified under dict_["ESTIMATION"]["file...
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def timestr(seconds): """ Convert seconds into seconds, minutes or hours """ if seconds < 60: return '{:.2f} seconds'.format(seconds) minutes = seconds / 60 if minutes < 60: return '{:.2f} minutes'.format(minutes) hours = minutes / 60 return '{:.2f} hours'....
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def process_single(word): """ Process a single word, whether it's identifier, number or symbols. :param word: str, the word to process :return: str, the input """ if word[0].isnumeric(): try: int(word) except ValueError: raise ValueError("Expression {} no...
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def convert_data_types(df): """ Takes a pandas Dataframe (part of the black_friday_data_hack project) as input and convert the data types of some of its features. Arguments: data - DataFrame Returns: same DataFrame with converted data types """ # Convert cate...
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def prettyprint_binding(binding, indent_level=0): """Pretty print a binding with variable id and data.""" indent = " " * indent_level if not binding: return indent + "<>" return "%s<v%d : %r>" % (indent, binding.variable.id, binding.data)
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def div2D(v1,v2): """Elementwise division of vector v1 by v2""" return (v1[0] / v2[0], v1[1] / v2[1])
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from pathlib import Path import logging import json def make_viridian_sample_header(new_run_uuid, sp3_sample_name): """ Args: new_run_uuid (uuid): The unique id for the current run sp3_sample_name: The name of the SP3 sample Returns: dict: An object containing a...
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import json def json_formatter(subtitles): """ Serialize a list of subtitles as a JSON blob. """ subtitle_dicts = [ { 'start': start, 'end': end, 'content': text, } for ((start, end), text) in subtitles ] return json.dumps(sub...
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def get_beta_y_cubic(x, mu): """ Evaluation of cubic polynomial form of LBCCs. Solutions are pinned at Beta(mu=1)=1 and y(mu=1)=0. :param x: parameter values as list/list-like :param mu: value of mu :return: Beta and y """ beta = 1. - (x[0] + x[1] + x[2]) + x[0] * mu + x[1] * mu ** 2 + x...
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def _get_master_pod(release_name, pods): """Given a release name and a list of pods, returns the master pod of the release Args: release_name (str): Release name pods (:obj:`V1PodList`): List of pods Returns: (:obj:`Pod`, optional): The master pod """ master_pod_name = "{}...
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def get_changed_data_from_form(form): """Returns a dictionary with keys of all changed fields and values that are a dict with 'before' and 'after' keys values of 'before' and 'after' are display values for example: { 'First name': { 'before': 'George', ...
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def read_bst_file(filename): """Reads data from sequence alignment test file. Args: filename (str): The file containing the edge list. Returns: list: The frequencies for each key. """ with open(filename, 'r') as f: next(f) # Skip first line freq = [int(x) ...
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def ppi2ppm(val): """convert pixels per inch to pixels per mm""" return val/25.4
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from typing import List from typing import Dict from typing import Any import json def get_full_execution_list() -> List[Dict[str, Any]]: """ Get pre-set list of execution commands for the entire Cassini UVIS auroral dataset. :return: List of commands, each in form of a dict. """ execution_list_f...
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def rsa_decrypt(cipher: int, d: int, n: int) -> int: """ decrypt ciphers with the rsa cryptosystem :param cipher: the ciphertext :param d: your private key :param n: your public key (n) :return: the plaintext """ return pow(cipher, d, n)
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def get_indices(plot, speckeys): """ Returns indices of spectra we want to take a closer look at Parameters ---------- plot : instance of InteractivePlot class the interactive plot speckeys : list a list of all the indices contained within the current block """ subplot...
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def translate_bbox(bbox, translation): """ Translate given bbox by the amount in translation. Parameters ---------- bbox: tuple tuple of integers defining coordinates of the form (x1, y1, x2, y2, x3, y3, x4, y4). translation: tuple tuple of integers defining...
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def determine_header_length(trf_contents: bytes) -> int: """Returns the header length of a TRF file Determined through brute force reverse engineering only. Not based upon official documentation. Parameters ---------- trf_contents : bytes Returns ------- header_length : int ...
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from typing import Tuple def is_multi_class(output_shape: Tuple[int, ...]) -> bool: """Checks if output is multi-class.""" # If single value output if len(output_shape) == 1: return False return True
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def perforationskineffect(s_h=0, s_v=0, s_wb=0): """ Calculate perforation skin effect or s_p given... s_h == horizontal skin effect s_v == vertical pseudoskin s_wb == well bore blockage effect """ s_p = s_h + s_v + s_wb return(s_p)
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def mcd(a, b): """Restituisce il Massimo Comune Divisore tra a e b""" if a * b == 0: return 1 if a == b: return a elif a > b: return mcd(a - b, b) else: return mcd(b - a, a)
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import random def random_string(length=4): """Generate a random string.""" random_str = "" for i in range(length): random_integer = random.randint(97, 97 + 26 - 1) flip_bit = random.randint(0, 1) random_integer = random_integer - 32 if flip_bit == 1 else random_integer rand...
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def minimise_xyz(xyz): """Minimise an (x, y, z) coordinate.""" x, y, z = xyz m = max(min(x, y), min(max(x, y), z)) return (x-m, y-m, z-m)
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def height(tree): """Return the height of tree.""" if tree.is_empty(): return 0 else: return 1+ max(height(tree.left_child()),\ height(tree.right_child()))
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import torch def create_padding_mask_from_length(length, maxlen=None): """ Transform a sequence length matrix to padding mask Args: length: sequence length matrix :math:`(N)` where N is batch size Returns: - padding mask indicating length :math:`(N, L)` where ...
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def third_measurer_I_P(uniqueTuplesDf): """ third_measurer_I_P: computes the measure I_P that counts the number of problematic tuples (tuples participating in a violation of the constraints). Parameters ---------- uniqueTuplesDf : dataframe the result of the query that finds all tu...
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def parse_awards(movie): """ Convert awards information to a dictionnary for dataframe. Keeping only Oscar, BAFTA, Golden Globe and Palme d'Or awards. :param movie: movie dictionnary :return: well-formated dictionnary with awards information """ awards_kept = ['Oscar', 'BAFTA Film Award', 'G...
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def mapRanges(povpct, povlow, povhigh, paylow, payhigh): # 135, (133..150), (3.0..4.0) """ Evenly map povpct in [povlow..povhigh] to [paylow..payhigh]. All aruments and return value are scaled percentages (*100). See # comments to the right for an example's expected calcs. This scheme may or may...
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def createYangHexStr(textString): """ Convert plain hex string into yang:hex-string """ data = textString[0:2] i = 2 while i < len(textString): data = data + ':' + textString[i:i+2] i = i + 2 return data
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def lerp2d(a: tuple, b: tuple, r: float) -> tuple: """Returns a point interpolated from a to b, at r.""" return ( a[0] + (b[0] - a[0]) * r, a[1] + (b[1] - a[1]) * r )
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from typing import List from typing import Tuple from pathlib import Path import fnmatch def get_ignore_regex(ignore_rules: List[Tuple[str, str]], regexes: List[str], logfile: Path) -> str: """Combine together regex for the given log file using file specific and global ignore rules.""" regex_list = regexes[:]...
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def min_sec(secs): """ Takes an epoch timestamp and returns string of minutes:seconds. :param secs: Timestamp (in seconds) >>> import time >>> start = time.time() # Wait a few seconds >>> finish = time.time() >>> min_sec(finish - start) '0:11' """ secs = int(secs) ...
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import ast def get_function_details(functions): """ Create a generator for function name/docstring tuples. ​ :param functions: Iterable of function objects from source code :return: Generator of tuples of fuction names and docstrings """ return ((f.name, ast.get_docstring(f)) for f in function...
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def gc(seq): """ Calculates GC content Args: seq (str): non empty Returns: GC content (float) Raises: ValueError: if the sequence is None or empty str """ if not seq: raise ValueError("Input must be non-empty string") g = seq.count("G") c = seq.count("C"...
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import tokenize def is_comment_token(token1): """ Returns True if the token1 is a comment token, False otherwise. Since there is an incompatibility between Python versions, this function resolves it. Some more information about incompatibility: Python 3.6: TokenInfo(type=59 (ENCODING), s...
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def device_mapper(os_type: str, proto: str = "netmiko"): """ map an os type to a netmiko device_type :params os_type: type str :params proto: type str, default "netmiko" :returns: device_type string """ if proto == "netmiko": device_types = { "ios": "cisco_ios", ...
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def block_summary(block): """ Return a summary of a block """ return f"{block['blockhash']} {block['timestamp']} {block['proof']}"
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def can_view_group(group, user, level="member"): """ See if the user is allowed to view the group, or if they own it Params: ======= group: EAPGroup instance, as obtained from EAPGroup.objects.get(pk) user: EAPUser instance, as returned from request.user level: str, either "member" or "owne...
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def imgarea(im, zeroel=None): """Returns the area of the image, as determined by checking against the 'zeroel'. i.e., the number of pixels that are != zeroel. If 'zeroel' is not given, it's determined from the image type. """ zeros = {'L':0, '1':0, 'I':0, 'F': 0.0, 'RGB': (0,0,0), 'RGBA': (0,0,0,0)}...
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def flattenjson(obj, delim="__"): """ Flattens a JSON object Arguments: obj -- dict or list, the object to be flattened delim -- string, delimiter for sub-fields Returns: The flattened JSON object """ val = {} for i in obj: if isinstance(obj[i], dict): ret =...
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def write_metadata_to_file(filename, cs_id, process, units_e, units_sigma, ref='\\N', lhs_a='\\N', lhs_b='\\N', rhs_a='\\N', rhs_b='\\N', threshold='-1', wavelength='-1', lhs_v=-1, rhs_v=-1, lhs_j=-1, rhs_j=-1, ...
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def batch_size(batch): """ Calculates the size of a batch. Args: batch: A list of dictionaries representing mutations. Returns: An integer specifying the size in bytes of the batch. """ size = 0 for mutation in batch: size += len(mutation['key']) if 'values' in mutation: for value in ...
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def _check_handler_present(logger, handler_type, *compare): """ Check if a handler of given and with given attributes has been added to the logger already. :param logging.Logger logger: logger whose handlers to check :param type handler_type: handler class to check for :param [(str, obj)] compar...
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def flatten_xml_string(xml_string): """ Flatten the xml string so that the output is in one line and without spaces/tabs etc. This is because otherwise the request is not valid and gets rejected. """ return ''.join([line.strip() for line in xml_string.split('\n')])
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def _extract_prop_set(line): """ Extract the (key, value)-tuple from a string like: >>> 'set foo = "bar"' :param line: :return: tuple (key, value) """ token = ' = "' line = line[4:] pos = line.find(token) return line[:pos], line[pos + 4:-1]
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import math def get_bar_for_progress(full_width, progress): """get_bar_for_progress - returns string with a width of 'full_width' which illustrates specific progress value. """ number_of_equal_signs = int( math.ceil(progress * float(full_width - 2) / 100) ) return "[{0}{1}{2}]".format(...
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def obtainPredictedClasses(outputSceneLabel): """ Fucntion to obtain the indices for the 10 most-scored scene labels :param outputSceneLabel: Tensor obtain from the network :return: numpy array 1x10 with scene labels indices """ # Obtain the predicted class by obtaining the maximum score. _,...
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def match_value(df, col1, x, col2): """ Match value x from col1 row to value in col2. """ return df[df[col1] == x][col2].values[0]
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def standardize_positions(s: str) -> str: """Standardizes position names Args: s (str): the position string Returns: str: the standardized string """ mapping = {'Def': 'DST', 'Defense': 'DST', 'DEF': 'DST', 'def': 'DST', 'dst': 'DST', 'PK': 'K', 'Kicker': 'K'} std = mappin...
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def generate_test_uuid(tail_value=0): """Returns a blank uuid with the given value added to the end segment.""" return '00000000-0000-0000-0000-{value:0>{pad}}'.format(value=tail_value, pad=12)
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def points(a, b, answer_given): """Check answer. Correct: 1 point, else 0""" true_answer = a*b if answer_given == true_answer: print('Correct!') return 1 else: print('Sorry! Correct answer was: {:d}'.format(true_answer)) return 0
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def character_tokenizer(text: str) -> list: """Tokenize by single characters, keeping whitespace. Args: text: The text to tokenize. Returns: list: A list of character tokens. """ return [char for char in text]
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def greenshieldFlow(speed, capacity, free_flow_speed): """ Returns the flow of a link following the Fundamental Diagram (Greenshield's Model). Parameters ---------- speed: miles/hr or km/hr capacity: link's capacity in veh/hr free_flow_speed: link's free flow speed in miles/hr or km/hr ...
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import random def random_location(x_upper_bound = 100, y_upper_bound = 100): """ Returns a bounded, random Location. """ assert x_upper_bound > 0 and y_upper_bound > 0 x = random.randint(0, x_upper_bound - 1) y = random.randint(0, y_upper_bound - 1) return (x, y)
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import re def string_remove_regex(value,ex): """ remove sub-string of string that matches regex """ return re.sub(ex, '', value)
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def get_stats(equipment): """ Adds up the stats of the equipment :param equipment: A list with multiple lists inside - the inner lists are the equipment stats :return: Total cost, dmg, and armor points """ dmg = 0 armor_points = 0 cost = 0 for thing in equipment: dmg += thin...
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def _clean_up_path(path): """Strips an initial "./" and any trailing slashes from 'path'.""" if path.startswith("./"): path = path[2:] return path.rstrip("/")
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import hashlib import struct import base64 def volume_label_hash( s ): """ Linux volume labels are typically limited to 12 or 16 characters while the strings we want to use for them are longer, usually a namespaced role name with additional data at the end. This hash function returns a 12-character st...
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import math def _ln_binomial(n, k): """log of binomial coefficient function (n k), i.e., n choose k""" if k > n: raise ValueError if k == n or k == 0: return 0 if k * 2 > n: k = n - k return math.lgamma(n + 1) - math.lgamma(k + 1) - math.lgamma(n - k + 1)
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def to_text(source): """ Generates a text value (an instance of text_type) from an arbitrary source. * False and None are converted to empty strings * text is passed through * bytes are decoded as UTF-8 * rest is textified via the current version's relevant data model method """ if sour...
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def calculate(x: int, y: int = 1, *, subtract: bool = False) -> int: """Calculates the sum (or difference) of two numbers. Parameters: `x` : int The first number `y` : int, optional The second number (default is 1) `subtraction`: bool, optional Whether to perform subtraction...
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def trim_to_constant_numtimesteps(ds): """ Trims a :class:`DataSet` so that each circuit's data comprises the same number of timesteps. Returns a new dataset that has data for the same number of time steps for every circuit. This is achieved by discarding all time-series data for every circuit with...
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def create_dict_from_guard_rows(col_dict): """Create a dictionary of lists from a dictionary of guard values Parameters ---------- col_dict : `dict` The dictionary with the guard values Returns ------- ret_dict : `dict` The dictionary we created """ ret_dict = {} ...
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def powerlaw(x, scale, power, return_components=False): """ Defines a power law Returns ------- scale * x**power """ return scale*x**power
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def _files_header_size_calc(files, farc_type): """Sums the size of the files header section for the given files and farc_type data.""" size = 0 for fname, info in files.items(): size += len(fname) + 1 size += farc_type['files_header_fields_size'] return size
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from typing import Mapping def validate_schema(assert_, data, schema, optional=None, on_unexpected_cols='raise'): """Check if a data frame complies with a schema Parameters ---------- data : pandas.DataFrame Data ...
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def _get_manager_log_hashes(manager, logger): """Get a dict mapping file paths to hashes for logs on the specified manager. File paths will be relative to the root of the logs (/var/log/cloudify). journalctl.log and supervisord.log will be excluded as they can't be kept from changing. """ lo...
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def Repository_exists(Command): """ Tests if YUM Repo with specific Name exists and is enabled: - **repo** - repo name to look for **returns** - True if String is found """ def f(repo): return (repo in Command.check_output("yum repolist")) return f
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def dict2cfgString(dictionary, separator="\n", assigner="="): """ Converts a dictionary into a string ​ Parameters ---------- dictionary : dict The dictionary to be transformed. separator : str, optional The character to be used to separate individual entries. The default...
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from pathlib import Path def is_file(path: Path) -> bool: """ Return true if the given path is a file, false otherwise. :param path: a Path :return: a bool """ return path.is_file()
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def RobustL2Loss(output, log_std, target) -> float: """Robust L2 loss using a Gaussian prior with aleatoric uncertainty estimation.""" loss = 0.5 * (output - target) ** 2 / (2 * log_std).exp() + log_std return loss.mean()
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def wordlists(*wl): """ Input is arbitrary number of lists of strings. Output is one dictionary where each string is a key and the count of those strings is the value """ word_dict = {} for i in wl: for x in i: if x in word_dict: word_dict[x] += 1 els...
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import io def parse(stdin: io.TextIOWrapper) -> list: """ Parse the input into a list of tuples, the first element being a set of allergens and the second a set of ingredients """ result = list() for line in stdin.read().strip().splitlines(): ingredients, allergens = line.strip(")").s...
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import json def parse_json_data(filename) -> dict: """Returns the contents of a JSON file as a dict""" with open(filename, "r") as f: return json.loads("".join(f.readlines()))
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def liquid_to_dry_malt_weight(malt): """ LME to DME Weight :param float malt: Weight of LME :return: DME Weight :rtype: float """ return malt / 1.25
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def _get_bucket_filter_leading(bucket, len_seq): """Filtering function for sequence "contains" a "leading bucket". All n-grams in the leading bucket must be of the same length. The length of the sequence to be subject to the filtering function must be of length len_seq, and it must be longer than the n-grams i...
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from typing import List def _get_characters(sentence: str, whitespace: bool) -> List[str]: """Split sentence into individual characters. Args: sentence: An input sentence to split. whitespace: An indication whether to keep whitespaces during character n-gram extraction. Return: A...
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import torch def PReLU(x, a): """define PReLU(x)=max(x,0)+a*min(x,0)""" constant_zero = torch.FloatTensor([0.0]) return torch.max(x, constant_zero) + (a * torch.min(x, constant_zero))
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def violation(risk_estimates, risk_limits): """Return false if all estimates are within limits, true otherwise""" for i in range(len(risk_estimates)): if risk_estimates[i] > risk_limits[i]: return True return False
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def round_up(x: float, decimal_places: int) -> float: """ Round a float up to decimal_places. Parameters ---------- x : float decimal_places : int Returns ------- rounded_float : float Examples -------- >>> round_up(1.2344, 3) 1.235 >>> round_up(1.234, 3) 1...
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import re def max_num(x: str)->int: """ Input: String Output: Integer Finds the maximum integer in the string """ c = re.findall(r"[1-9]+",x) maxele = 0 for i in c: if int(i) > int(maxele): maxele = i return maxele
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def reverse(x: int) -> int: """ https://leetcode.com/problems/reverse-integer :param x: a value to revert :return: reverse of a 32-bit signed integer """ # Prepare value unsigned_value = (x // 10) if (x % 10 == 0) else x unsigned_value = -unsigned_value if x < 0 else unsigned_value ...
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def obtain_ECG(tensec_data): """ obtain ECG values of ten second data :param tensec_data: 10 seconds worth of heart rate data points :return ECGData: ECG unmultiplexed data """ ECGData = tensec_data[1::2] return ECGData
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def get_char_mode(n): """Return different num according to the type of given letter: '1': num, '2': upper_letter, '4': lower_letter, '8': other symbols """ if (n >= 48 and n <= 57): #nums return 1; if (n >= 65 and n <= 90): #uppers return 2; if (n >= 97 an...
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from typing import List from typing import Union def add_args(list_args: List[Union[str, List[str]]]) -> str: """Concatenate the given arguments and turn any string list in a space-separated string. :param list_args: list of arguments for the output command. """ out_cmd = '' for arg in list_args...
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import json def decode_transaction(raw): """Decode a transaction from bytes to a dict.""" return json.loads(raw.decode('utf8'))
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def addr_to_hash(addr): """ Creates hashable address representation """ return bytes(addr.spend_public_key + addr.view_public_key)
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def __matrix_blocks(A, m, n): """ Returns a list of four matrix blocks, where the first block is of size (m, n). """ return A[:m, :n], A[:m, n:], A[m:, :n], A[m:, n:]
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def get_parent_pb(xml_pbtype): """ Returns a parent pb_type of the given one or none if it is a top-level complex block """ assert xml_pbtype.tag in ["pb_type", "mode", "interconnect"], xml_pbtype.tag # Get immediate parent xml_parent = xml_pbtype.getparent() # We've hit the end if...
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def sp(dividend, divisor): """Returns the percentage for dividend/divisor, safely.""" if not divisor: return 0. return 100. * float(dividend) / float(divisor)
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def _mjd2000_to_decimal_year_simple(mjd2k): """ Convert Modified Julian Date 2000 to decimal year. """ return 2000.0 + mjd2k / 365.25
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