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def intersect(line1, line2): """ Returns True if the two given line segments intersect each other, and False otherwise. :param line1: 2-tuple of tuple (x, y) :param line2: 2-tuple of tuple (x, y) :return: boolean """ a1 = line1[1][1] - line1[0][1] b1 = line1[0][0] - line1[1][0] c1 =...
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import six def longest_common_prefix(str1, str2): """Returns the longest common prefix length of two strings.""" limit = min(len(str1), len(str2)) for i in six.moves.range(limit): if str1[i] != str2[i]: return i return limit
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def list_devices(sess, filter='/job:worker'): """List all device names for a session, filtering by the filter string, by default '/job:worker'""" return [d.name for d in sess.list_devices() if filter in d.name]
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def _urls(package, version, mirrors): """Computes the urls from which an archive of the provided PyPI package and version should be downloaded. Args: package: PyPI package name. version: version for which the archive should be downloaded. mirrors: dictionary of mirrors, see mirrors...
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def slf(x): """ slf(x) slf = lambda x: x """ return x
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def get_spatial_image_size(image_resizer_config): """Returns expected spatial size of the output image from a given config. Args: image_resizer_config: An image_resizer_pb2.ImageResizer. Returns: A list of two integers of the form [height, width]. `height` and `width` are set -1 if they cannot be d...
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def optional(run, deco): """This is a decorator which applies another decorator only if the condition is true.""" if run: return deco else: def do_nothing(func): return func return do_nothing
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def normalize(img, maxImg, minImg): """ Scale an image from 0 to 1 Parameters: img (ee.Image): image to be rescaled maxImg (ee.Image): image storing the maximum value of the image minImg (ee.Image): image storing the minimum value of the image Returns: ee.Image: """ return img.subtract(minI...
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def current_directory(_deps, _maybedeps): """ Current working directory """ return '.'
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import re def is_np(url): """Return true if url is a no participate link.""" if re.match("https?://np\.", url): return True else: return False
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def really_submitted(form): """ WTForms can be really finnicky when it comes to checking if a form has actually been submitted, so this method runs validate_on_submit() on the given form and checks if its "submitted" field has any data. Useful for pages that have two forms on them. :arg Form form: ...
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import textwrap def dedent(text, baseline_index=None): """ Safely clean all whitespace at the left of a paragraph. Args: text (str): The text to dedent. baseline_index (int or None, optional): Which row to use as a 'base' for the indentation. Lines will be dedented to this lev...
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import math def back_easein(pos): """ Easing function for animations: Back Ease In """ return pos * pos * pos - pos * math.sin(pos * math.pi)
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import inspect def is_exception_class(obj) -> bool: """Checks whether the given obj is an exception class.""" return inspect.isclass(obj) and issubclass(obj, BaseException)
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def _Flatten(list_of_list): """Creates set of all items in the sublists.""" flattened = set() for item in list_of_list: flattened.update(item) return flattened
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def find_pressure_from_boiling_point(boiling: int) -> int: """Finds the pressure from a provided boiling point""" pressure = 5 * boiling - 400 return pressure
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def split_header(diff): """Splits a diff in two: the header and the chunks.""" header = [] chunks = diff.splitlines(True) while chunks: if chunks[0].startswith('--- '): break header.append(chunks.pop(0)) else: # Some diff may not have a ---/+++ set like a git rename with no change or # a...
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def fetch_sensor_names(pattern, client, log): """Fetch matching sensor names for a specified pattern. Args: pattern (str): pattern to match. client (obj): KATPortalClient object. log: logger Returns: sensor_names (dict): sensor names matching suppl...
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def pct_change(before, after): """ Computes the increase from 'after' to 'before' as a percentage of 'before'. """ pct = ((after - before)/before)*100 return pct
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def set_axis_limits(ax, xlimits=None, ylimits=None): """Sets the x- and y-boundaries of the axis (if provided) :param ax: axis object :param xlimits: a 2-tuple (lower_bound, upper_bound) :param ylimits: a 2-tuple (lower_bound, upper_bound) :returns: ax """ if xlimits is not None: ax...
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from pathlib import Path def unlink_if_exists_and_not_using_as_cached(file_name: Path, use_cached_video_files: bool) -> bool: """Conditionally unlink video file, unless we want to use cached videos.""" generate_video = True if file_name.exists(): if use_cached_video_files: generate_vid...
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def square_to_quad(xy, base_pts): """Transforms a square in [0,1]^2 to a (possibly skew) quadrilateral defined by base_pts. Args: xy: Array, shape [..., 2]. The 2d coordinates of the point. base_pts: Array, shape [4, ...]. The coordinates of the quadrilateral. Should be in count...
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def decode(byte_data): """ Decode the byte data to a string if not None. :param byte_data: the data to decode """ if byte_data is None: return None return byte_data.decode()
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from typing import List def get_qubits_key(list_of_qubits: List[int]) -> str: """ from subset of qubit indices get the string that labels this subset using convention 'q5q6q12...' etc. :param list_of_qubits: labels of qubits :return: string label for qubits NOTE: this function is "dual" to ...
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def _mul2012(num1, num2): """ Multiply two numbers in 20.12 fixed point format. """ # Separated into a function because >> has surprising precedence return (num1*num2) >> 20
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def CreateTestCreativeWrapper(client, server, version, label_id): """Create a test creative wrapper. Args: client: DfpClient used for service creation. server: str the API server. version: str the API version. label_id: str the id of the label the creative wrapper applies to. Returns: The ID...
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def mapintensity(map, lat, lon, amp): """ Calculates a grid of intensities, multiplied by the amplitude given. """ grid = map.intensity(lat=lat.flatten(), lon=lon.flatten()).eval() grid *= amp grid = grid.reshape(lat.shape) return grid
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def get_object_string(swift, container, object_name): """Get the object contents as a string """ data = swift.get_object(container, object_name)[1] try: return data.decode('utf-8') except AttributeError: return data
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def proper_squeeze(tensor): """ Squeezes a tensor to 1 rather than 0 dimensions :param tensor: torch.tensor with only 1 non-singleton dimension :return: 1 dimensional tensor """ tensor = tensor.squeeze() if len(tensor.shape) == 0: tensor = tensor.unsqueeze(0) return tensor
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import math def calcRMS(items,avg): """ returns RootMeanSquare of items in a list """ # sqrt(sum(x^2)) # Not statistics RMS... "physics" RMS, i.e. standard deviation: sqrt(sum((x-avg)**2)/N) # return math.sqrt(reduce(lambda x: (x - avg)**2, items) / len(items)) return math.sqrt(sum([(x-avg)**2 for x in items]...
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def bytes_to_hex_str(bytes_hex: bytes, prefix="") -> str: """Convert bytes to hex string.""" return prefix + bytes_hex.hex()
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def get_square_coors(indices: tuple) -> list: """ Finds the coordinates of the other elements in the corresponding square located in :param indices: row and column indices :return: list of tuples representing coordinates """ coors = [] row, col = indices # Find the values of the sta...
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def _worker(mp, tile): """Multiprocessing worker processing a tile.""" return tile, mp.execute(tile)
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import base64 import secrets def csp_nonce() -> str: """ Generate a Base64 random string of 24 characters for the cryptographic nonce. Returns: str: Random string of 24 Base64 characters. """ return base64.b64encode(secrets.token_bytes(18)).decode("utf-8")
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def _filter_locals(filter_: str, locals_) -> bool: """ Evaluate a condition string. :param filter_: Python code to evaluate. :param locals_: Locals to supply to the code. :return: True if the condition is true, False otherwise. """ return eval(filter_, {}, locals_)
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from typing import List def get_setup_requirements() -> List[str]: """ Returns setup requirements (common for all package for now). :return: setup requirements """ return ['setuptools', 'wheel']
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def SignExtend(val, nbits): """ Returns a sign-extended value for the input value. val - value to be sign-extended nbits - number precision: 8 - byte, 16 - word etc. """ sign_bit = 1 << (nbits - 1) return (val & (sign_bit - 1)) - (val & sign_bit)
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def median(x): """Finds the median value of data set x""" x_sorted = sorted(x) mid = len(x) // 2 if len(x) % 2 == 1: return x_sorted[mid] else: l = mid - 1 h = mid return (x_sorted[l] + x_sorted[h]) / 2
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from pathlib import Path def test_gcp(func): """A very simple test to see if we're on Pangeo GCP environment Check existence of jovyan homedir and worker-template to determine if on Kubernetes based cluster. Not very robust, but ok for now. Raises: NotImplementedError: Causes ASV to skip thi...
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import re def _prenormalize_text(text): """Makes the text lowercase and removes all characters that are not digits, alphas, or spaces""" # _'s represent spaces so convert those to spaces too return re.sub(r"[^a-z0-9 ]", "", text.strip().lower().replace('_', ' '))
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import csv def load_csv_records(fileName): """Given a CSV filename, returns records (= list of tuples) Automatically transforms '2' to integer 2 and '1.9' to float 1.9 Output format is list tuples to be consistent with the result of a database query""" def cast_if_possible(x): """Function that...
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import re def check_password_requirements(new_password: str): """ Check if password meets requirements Requirements are: - a length of 8 or more characters, of which at least - one uppercase letter, - one lowercase letter - and one digit :param new_password: Password string...
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import math def UCB1(v, N, n): """ Parameters: v: int -> value of the terminal_state N: int -> number of times the parent node was visited n: int -> number of times the node was visited returns: int for MCTS selection ...
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def flag_is_set(flag, flags): """Checks if the flag is set Returns boolean""" if (flags & flag) > 0: return True return False
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def aligner_indices_fake_fs(fake_fs): """Return fake file system setup with files for aligner indices""" d = { "bwa": (".fasta.amb", ".fasta.ann", ".fasta.bwt", ".fasta.pac", ".fasta.sa"), "star": ("/Genome", "/SA", "/SAindex"), } for aligner, suffixes in d.items(): for suffix in...
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def spacing(area, shape): """ Returns the spacing between grid nodes Parameters: * area ``(x1, x2, y1, y2)``: Borders of the grid * shape Shape of the regular grid, ie ``(nx, ny)``. Returns: * ``[dx, dy]`` Spacing the y and x directions Examples: >>> pri...
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import json def _is_json(str_to_check: str) -> bool: """ Checks if str is JSON :param str_to_check: sting to check :return: true if str is JSON, otherwise raises ValueError or TypeError :raises TypeError: if str_to_check is not str type :raises ValueError: if str_to_check is not valid JSON ...
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def get_locations(soup): """Return a list of store location URL parameters.""" # extract option tag with value="matching string" locs = soup.select('option[value^="/menu/?location="]') # value iterable from BS4 locations = [value['value'] for value in locs] # print (locations, names) return...
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def as_int(x, default=0): """Convert a thing to an integer. Args: x (object): Thing to convert. default (int, optional): Default value to return in case the conversion fails. Returns: int: `x` as an integer. """ try: return int(x) except ValueError: retu...
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def first_second_ids(dates): """ Returns a dictionary of 'date:unique ID' for each date in 'dates'. IDs are ordered from oldest to newest, starting at 0. :param list dates: List of dates :return: unique dates IDs :rtype: dict """ dset = sorted(set(dates)) return dict([(date_, i) f...
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def terraform_current_workspace(terraform): """ Get the current terraform workspace """ return_code, stdout, stderr = terraform.cmd('workspace show') return stdout.rstrip()
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def factorial(n: int) -> int: """Return the factorial of n, an exact integer >= 0 By definition, the factorial is defined as follow: factorial(n) = n * factorial(n - 1), factorial(0) = factorial(1) = 1 >>> factorial(4) 24 >>> factorial(10) 3628800 >>> factorial(25) 1551121004333098...
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def ZScoreNormalization(X, axes=(0,1), scorer=None): """Applies Z-Score Normalization over a multispectral image""" if not scorer: u = X.mean(axis=axes) std = X.std(axis=axes) scorer = lambda arr: (arr - u) / std X_norm = scorer(X) return X_norm, scorer
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def contains_word(s, w): """ Checks whether a string contains a certain word """ return f" {w} " in f" {s} "
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def clear_dobson_paddy(relevance, accuracy): """ Calculate the certainity level using the approach presented in Clear, Adrian K., Simon Dobson, and Paddy Nixon. "An approach to dealing with uncertainty in context-aware pervasive systems." UK/IE IEEE SMC Cybernetic Systems Conference. 2007. :para...
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def lispify(value, string_to_keyword = False): """ Converts a given value from a Python data type into its Lisp counterpart. Returns the following conversions: lists/arrays -> lists bools -> T or NIL ints -> ints floats -> floats strings -> strings (or chars if strin...
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def createDataUpload(node, sensorData): """ :param node: the device Address or ID sensorData: the sensor data is in dictionary type, for example: {"temperature": 30.5, "humidity": 20.0} :return: a list to write into InfluxDB """ myDict = {"measurement": "Multisensor", "tags": {"Nod...
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import math def nextpow2(N): """ Return the power of 2 greater than or equal to *N*. """ return 2**int(math.ceil(math.log(N, 2)))
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def factorial(n): """ Returns the factorial of the input integer Time complexity: O(n) Space complexity: O(n) """ assert n >= 0, f"Input value {n} is not a positive integer." if n <= 1: return 1 return n * factorial(n - 1)
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def humanise(number): """Converts bytes to human-readable string.""" if number/2**10 < 1: return "{}".format(number) elif number/2**20 < 1: return "{} KiB".format(round(number/2**10, 2)) elif number/2**30 < 1: return "{} MiB".format(round(number/2**20, 2)) elif number/2**40 <...
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def _prep_sge_resource(resource): """Prepare SGE resource specifications from the command line handling special cases. """ resource = resource.strip() k, v = resource.split("=") if k in set(["ar"]): return "#$ -%s %s" % (k, v) else: return "#$ -l %s" % resource
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import re def is_fun(func, ir): """ Check that the intermediate representation (ir) describes a function with name func. """ return type(ir) == list and type(ir[0]) == str and re.match(func + r'\b', ir[0])
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def areaRectangulo(base, altura): """Function that finds the area of a rectangle given its width and height Args: base (float): the value for the width of the rectangle altura (float): the value for the height of the rectangle Returns: float: The area of the rectangle """ r...
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def get_average_accuracy(networks: list): """ Get the average accuracy for a list of networks :param networks: list of dict with network parameters :return: average accuracy obtained by all networks """ total_accuracy = 0 for network in networks: total_accuracy += network.accuracy ...
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def convert_lines_to_object(lines: list) -> dict: """ Convert an array of lines into an object indexed by the line number Indexing from 0 Parameters ---------- lines : list The list of lines to convert Returns ------- dictionary A dictionary of the lines, indexed by...
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import hashlib def get_sha1(filepath): """ calculate the sha1 hash of the content of a given file Parameters ---------- filepath : path the file of which to calculate the hash. Returns ------- hash: str the hash of the content of the file. """ sha1sum = hashlib.sha1() with open(fi...
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import math def is_pow2(val): """Check if input is a power of 2 return a bool result.""" return False if val <= 0 else math.log(val, 2).is_integer()
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def strand_guess(aligner, q, t, minpct=50): """Guess the strand of t (target) that q (query) lies on. Given a Bio.Align aligner and two Bio.SeqRecords q and t, guess which strand of t that q lies on. The approach is to align both q and q.reverse_complement() to t, seeing which scores higher. The score ...
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def _dictionary_to_column_paths(dictionary, prefix=tuple()): """Convert a dictionary to the column paths within this dictionary For example, if the argument is { 1 : { 'a' : True, 'b' : False }, (10, 'blah') : SomeObject() } The result would be [ ...
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import math def p02_p01(M, beta, gamma): """Stagnation pressure ratio across an olique shock (eq. 4.9) :param <float> M: Mach # upstream :param <float> Beta: Shock angle w.r.t initial flow direction (radians) :param <float> gamma: Specific heat ratio :return <float> Total pressure ratio p02/p01 ...
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def get_season_episodes(show, season): """ Creates a list of episode objects from show details. Parameters ---------- show : dict Return from TV Search Controller season : int Season to return Returns ------- season_list: list List of dict objects """ ...
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def startNamespace(moduleConfig): """String for the start the header namespace""" string = [ 'namespace ' + s + '\n{\n' for s in moduleConfig['Namespace'] ] string = ''.join(string) return string
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def _webwallet_support(coin, support): """Check the "webwallet" support property. If set, check that at least one of the backends run on trezor.io. If yes, assume we support the coin in our wallet. Otherwise it's probably working with a custom backend, which means don't link to our wallet. """ ...
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def quote_parameters(positional, named): """Quote the given positional and named parameters as a code string.""" positional_list = [ repr(v) for v in positional ] named_list = [ "%s=%r" % (k, v) for k, v in named.items() ] return ', '.join(positional_list + named_list)
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def ret_func(par): """Return the passed argument.""" return par
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def _parse_header(line, lines): """Parse version, start date and time info from the header from the PWscf standard output. Args: line (str): string with a line from PWscf standard output to be parsed. lines (str): iterable of strings from PWscf standard output. Returns: A dicti...
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def FFD(s,B): """First Fit Decreasing heuristics for the Bin Packing Problem. Parameters: - s: list with item widths - B: bin capacity Returns a list of lists with bin compositions. """ remain = [B] # keep list of empty space per bin sol = [[]] # a list ot items (...
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def square_of_sum(number): """ Return the square of sum of first [number] neutral integers """ return sum(range(1, number + 1)) ** 2
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import socket def create_async_server_socket(host, port, reuse: bool = False): """ :param host: :param port: :param reuse: If true, allows shutting down the server and starting it up right away. Otherwise, we have to wait 1min before starting it up again https://stackoverflow.com/quest...
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def rotations(S): """ Returns all the rotations of a string """ L=list(S) L2=list() for i in range(0, len(L)): L2.append(''.join(L[i:] + L[:i])) return L2
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def charge(mol): """Total charge""" return sum(a.charge for _, a in mol.atoms_iter())
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def solution(n): """Returns the sum of all fibonacci sequence even elements that are lower or equals to n. >>> solution(10) 10 >>> solution(15) 10 >>> solution(2) 2 >>> solution(1) 0 >>> solution(34) 44 """ i = 1 j = 2 sum = 0 while j <= n: if...
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def _control_input(devices, control_inputs, idx): """Returns the `idx`-th item in control_inputs to be used in ops.control_dependencies. This is a helper function for building collective ops. Args: devices: a list of device strings the collective run on. control_inputs: a list or None. idx: the inde...
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import torch def hf_represent(batch_ids, model, layer=-1): """ Encode a batch of sequences of ids using a Hugging Face Transformer-based model `model`. The model's `forward` method is `output_hidden_states=True`, and we get the hidden states from `layer`. Parameters ---------- batch_...
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def parse_readable_size_str(size_str): """Convert a human-readable str representation to number of bytes. Only the units "kB", "MB", "GB" are supported. The "B character at the end of the input `str` may be omitted. Args: size_str: (`str`) A human-readable str representing a number of bytes ...
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def add_one(input): """ Returns the list with 1 added to every element of input Example: add_one([1,2,3,1]) returns [2,3,4,2] Parameter input: The data to process Precondition: input an iterable, each element an int """ result = [] for x in input: x = x+1 result.append(...
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def GeneralizedAdvantageEstimator(critic, state_batch, reward, gamma, lamb): """ Compute the Generalized Advantage Estimator. See https://danieltakeshi.github.io/2017/04/02/notes-on-the-generalized-advantage-estimation-paper/ :param critic: Critic network. :param state_batch: A numpy array of batc...
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def url_replace(request, field, value): """URL Replace. Allows us to quickly and easily swap parameters in the request object in the case of doing complex queries like filtering a certain search results, feed, or metadata. Pour exemple: <a href="?{% url_replace request 'viewing' 'unanswered' %}" ...
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def _eval_feature_fn(fn, xs, classes): """_eval_feature_fn(fn, xs, classes) -> dict of values Evaluate a feature function on every instance of the training set and class. fn is a callback function that takes two parameters: a training instance and a class. Return a dictionary of (training set ind...
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def get_out_layer_name(graph): """ Get the output layer's name for the model. graph.output only returns the output's node index """ output_index_list = [x.name for x in graph.output] return [node.name for node in graph.node if node.output[0] in output_index_list]
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def isDescendant(node1, node2): """ Checks if node1 is descendant of node2 :param node1: :param node2: :return: True if node1 is descendant of node2, False otherwise """ if node2 is None: return False if node1 is node2: return True return isDescendant(node1, node2.le...
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def total_seconds(delta): """ Adapted from Python 2.7's timedelta.total_seconds() method. Args: delta: datetime.timedelta instance. """ return (delta.microseconds + (delta.seconds + (delta.days * 24 * 3600)) * \ 10 ** 6) / 10 ** 6
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def format_value_for_munin(value, zero_allowed=False): """ Convert value into a format that will be understood by Munin @param value: value to write @param boolean zero_allowed: if True, 0 will be reported as 0, otherwise as unknown ('U') @return value """ return value if value or (zero_allo...
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def split_suffix(symbol): """ Splits a symbol such as `__gttf2@GCC_3.0` into a triple representing its function name (__gttf2), version name (GCC_3.0), and version number (300). The version number acts as a priority. Since earlier versions are more accessible and are likely to be used more, the low...
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def find_all_indexes(text, pattern): """Return a list of starting indexes of all occurrences of pattern in text, or an empty list if not found.""" ''' worksheet: String Algorithms, pt. 2 let p = len(pattern) let t = len(text) p * t = checking every letter in text against every letter in p...
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from typing import List def vectorize( tokenized_text: List[str], embedding_model): """ Args: tokenized_text: a tokenized list of word tokens embedding_model: the embedding model implements `.infer_vector()` method Returns: np.ndarray: a word embedding vector ""...
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from typing import Optional from typing import List import random def generate_random_number( length: int = 6, forbidden_first_digit: Optional[List[int]] = None ) -> str: """ Generate random number with the provided length (number of digits) ensuring that two neighboring digits are always different an...
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import torch import pickle def load_model(model_pkl_path, device=None): """Load StyleGAN2 model from pickle checkpoint file.""" if device is None: device = "cuda" if torch.cuda.is_available() else "cpu" with open(model_pkl_path, 'rb') as f: G = pickle.load(f)['G_ema'].to(device) # torch...
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from typing import Union import hashlib def make_etag(args: Union[dict, list]): """Make an etag by hashing the representation of the provided `args` dict""" argbytes = bytes(repr(args), "utf-8") return hashlib.md5(argbytes).hexdigest()
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def has_as_dict(obj): """Check if object has 'as_dict' method.""" return hasattr(obj, "as_dict") and callable(getattr(obj, "as_dict", None))
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