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def bytes_packet(_bytes, termination_string=']'): """ Create a packet containing the amount of bytes for the proceeding data. :param _bytes: :param termination_string: :return: """ return '{}{}'.format(len(_bytes), termination_string)
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def all_besides_none_equal(*args): """Return True if all of the (non-None) elements are equal""" non_none = list(filter(lambda x: x is not None, args)) for i, arg in enumerate(non_none): if i + 1 < len(non_none) and arg != args[i + 1]: print(arg) return False return True
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import math def compute_rows_columns(num_wells): """Convert 96->(8,12), 384->(16,24), etc.""" a = math.sqrt(num_wells / 6) n_rows = int(round(2 * a)) n_columns = int(round(3 * a)) return n_rows, n_columns
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def skip_zone_record(zone_record): """Whether a zone record should be skipped or not. Records are skipped if they are empty or start with a # (indicating a comment). :param zone_record: Full zone record, including the command (e.g. ADD). :returns: True if the record should be skipped, false otherw...
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def map_value(value, min_, max_): """ Map a value from 0-1 range to min_-max_ range. """ return value * (max_ - min_) + min_
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def check_influxdb_response(response): """Check if the response from influxdb is correct. InfluxDB normally responds with a 404 on GET to /, but also allow other non-server-error response codes to allow for that behaviour to change. """ return response.code < 500
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def dop2str(dop: float) -> str: """ Convert Dilution of Precision float to descriptive string. :param float dop: dilution of precision as float :return: dilution of precision as string :rtype: str """ if dop == 1: dops = "Ideal" elif dop <= 2: dops = "Excellent" el...
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def get_complexity(data): """ Gets the complexity of the given trial data -- the number of degrees of freedom that are active, or under control of the subject. """ return int(len(data['active_classes'])/2)
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def prepare_feed_dict(placeholders, images, labels, batch_size, use_generated_data, idx=0): """Return the feed dict per batch with the input data.""" idx = idx * batch_size if use_generated_data: return { placeholders[0]: images } return { placeholders[0]: images[idx:...
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def list2str_str(list): """Convert list to a single string. Inverse of str2list.""" return ''.join([str(i) + '\n' for i in list])
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from typing import Union def format_indexing_element(indexing_element: Union[int, slice]) -> str: """Format an indexing element. This is required mainly for slices. The reason is that string representation of slices are very long and verbose. To give an example, `x[:, 2:]` will have the following index ...
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def indent_string(the_string, indent_level): """Indents the given string by a given number of spaces Args: the_string: str indent_level: int Returns a new string that is the same as the_string, except that each line is indented by 'indent_level' spaces. In python3, this can be done ...
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def getSamplerFun(sampler, distributions): """ get distributions' function by class sampler. Inputs: sampler : sampler class, pydpm._sampler.Basic_Sampler; distributions : [str] list of distributions; Outputs: funcs : {str: fun}, dict of distributions' functions; ...
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def line_intersects_segment(line, line_segment): """Returns the intersection the Line and LineSegment or None if they do not intersect. This function is useful for splitting polygons by a straight line. """ linesegform = line_segment.to_line() if line.is_parallel_to(linesegform): retur...
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import math def calc_haversine_distance(p1, p2): """calculate haversine distance between two points # formula info # https://en.wikipedia.org/wiki/Haversine_formula # http://www.movable-type.co.uk/scripts/latlong.html Args p1: tuple of (longitude, latitude) format containing int or float...
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def is_pow2(n): """ Check whether a number is power of 2 Parameters ---------- n: int A positive integer number Returns ------- bool """ return n > 0 and ((n & (n - 1)) == 0) # Solution 2 # return math.log2(n) % 1 == 0
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import difflib def gen_ndiff(a, b): """ Return a binary diff result of the byte sequence as a YARA signature. :param list a: First buffer representing code block as hexlified bytes. :param list b: Second buffer representing code block as hexlified bytes. :return: YARA compliant hex string sequen...
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def allocated_size(allocation_unit, requested_size): """ Round ``requested_size`` up to the nearest ``allocation_unit``. :param int allocation_unit: The interval in ``bytes`` to which ``requested_size`` will be rounded up. :param int requested_size: The size in ``bytes`` that is required. :...
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def rotate_word(s, r): """ Rotate each char in a string by through the alphabet by the given amount. Wrap around to the beginning (if necessary). """ r_s = '' for c in s: num = ord(c) r_num = num + r r_c = chr(r_num) r_s += r_c return r_s
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def default_cmdline_options(config): """ Return default command line options required for every run of terraform. Args: config: dictionary containing all variable settings required to run terraform with Returns: cmdline_options: list of command-line arguments to run ...
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from datetime import datetime def utcnow_timestamp_ms() -> int: """UTC timestamp in milliseconds. Returns: timestamp (int): UTC time in milliseconds """ return int(datetime.utcnow().timestamp() * 1000)
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def genty_repeat(count): """ To use in conjunction with a TestClass wrapped with @genty. Runs the wrapped test 'count' times: @genty_repeat(count) def test_some_function(self) ... Can also wrap a test already decorated with @genty_dataset @genty_repeat(3) @g...
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def time_string(seconds): """Returns time in seconds as a string formatted HHHH:MM:SS.""" s = int(round(seconds)) # round to nearest second h, s = divmod(s, 3600) # get hours and remainder m, s = divmod(s, 60) # split remainder into minutes and seconds return "%2i:%02i:%02i" % (h, m, s)
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def get_input_output_filenames_from_args(args): """Return strings inserted to input and output filenames.""" input_filename = args.input_filename output_filename = args.output_filename if args.input_output_filename is not None: input_filename = args.input_output_filename output_filename ...
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def humanise_seconds(seconds): """ Takes `seconds` as an integer and returns a human readable string, e.g. "2 hours, 5 minutes". """ units = [] unit_table = [('hour', 3600), ('minute', 60)] for unit in unit_table: quotient, seconds = divmod(seconds, unit[1]) if quotient: ...
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def v_str(v_tuple): """turn (2,0,1) into '2.0.1'.""" return ".".join(str(x) for x in v_tuple)
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def suffix_opt(opt_arg=''): """ return suffix for backup file """ suffix = '' if len(opt_arg) != 0: suffix = '.' + opt_arg return suffix
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import itertools def nonzero_entries(array, eps=1e-7): """Extracts sparse [(value, *indices), ...] array representation. Args: array: The numpy array to obtain a sparse representation for, eps: Threshold magnitude. Entries <= `eps` are skipped. Returns: List of (coefficient, index0, ..., indexN) tu...
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def flatten_batch_X(X): """ Flattens images """ return X.reshape(len(X), -1)
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def read_mol_dict(file): """ Read dict of molecules from file. Returns ------- molecules : :class:`dict` of :class:`dict` Dictionary of molecule definitions with `key` = name. """ with open(file, 'r') as f: lines = f.readlines() molecules = {} for line in lines: ...
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from json import load import logging def read_json(filename): """ Reads input from a JSON file and returns the contents. :param str filename: Path to JSON file to read :return: Contents of the JSON file :rtype: dict or None """ try: with open(filename) as json_file: re...
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import re def filter_location(location): """ (str) -> str Filter input string from such characters as parentheses and blank symbols >>> filter_location("United Kingdom {(UK)}") 'United Kingdom' """ location = re.sub("[(].*?[)]", "", location) location = re.sub("[{].*?[}]", "", location...
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def serialize_primitive(obj, spec, ctx): """ Serialize a primitive value. """ return ctx.dumpval('', obj)
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def assert_interrupt_signal(library, session, mode, status_id): """Asserts the specified interrupt or signal. Corresponds to viAssertIntrSignal function of the VISA library. :param library: the visa library wrapped by ctypes. :param session: Unique logical identifier to a session. :param mode: How...
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def build_reagent_vectors(portion_reagents, portion_chemicals): """Write the reagents in a vector form, where the vectors live in the complete portion basis The basis is spanned by all chemicals in all reagents in the portion (sans solvent) :param portion_reagents: a list of all reagents in the portion ...
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def translate(tile, offset): """ Move a tile. This returns a moved copy; the original is unchaged. Parameters ---------- tile : tuple containing y and x slice objects offset : tuple translation, given as ``(y, x)`` Returns ------- tile : tuple a copy; the in...
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def get_finegrained_count(text, gender_dct): """ Count the number of female, male, and neutral gendered words in a string, given the gender dict. """ text = text.lower() f_count = 0 m_count = 0 n_count = 0 for line in text.split('\n'): words = line.split(' ') for word...
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def to_dict(X): """Make dict-like. Parameters ---------- X : dict """ if hasattr(X, "items"): return X elif X is None: return {None: None} else: return {None: X}
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def CommonChecks(input_api, output_api): """Presubmit checks run on both upload and commit. This is currently limited to pylint. """ checks = [] blimp_tools_dir = input_api.PresubmitLocalPath() def J(*dirs): """Returns a path relative to presubmit directory.""" return input_api.os_path.join(blimp...
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def decrypt(m,d,n): """ Returns decrypted message. Parameters: m (int): encrypted message d (int): private key n (int): modulus Output: decrypted message in numeral form """ return(pow(m,d,n))
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def remove_padding(data: bytes, block_n_bytes: int) -> bytes: """Removes 0x80... padding according to NIST 800-38A""" if len(data) % block_n_bytes != 0: raise ValueError("Invalid data") for i in range(len(data) - 1, -1, -1): if data[i] == 0x80: return data[:i] elif data[...
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def freq_wise_bmm(a, b): """ Parameters ---------- a: (..., n_freq, n_channels_1, n_channels_2) op 1 b: (..., n_channels_2, n_freq, n_frames) op 2 Returns ------- The batch matrix multiplication along the frequency axis, then flips the axis back Tensor of shape (...
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import math def get_code_len(class_range, mode=0): """ Get encode length :param class_range: angle_range/omega :param mode: 0: binary label, 1: gray label :return: encode length """ if mode in [0, 1]: return math.ceil(math.log(class_range, 2)) else: raise Exception('On...
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def mergesort(input_list): """ Takes in a list and splits it into halves recursively, then compares parts of the list to each other and merges them sorted into another list """ output = [] if len(input_list) > 1: mid = len(input_list) // 2 first_half = input_list[:mid] second...
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def logical_right_shift(n: int , shifted_by: int)-> str: """ Take in 2 positive integers. 'n' is the integer to be logically right shifted 'shifted_by' times. i.e. (number >> shifted_by) Return the shifted binary representation. """ if n < 0 or shifted_by < 0: raise ValueError('The ...
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def _first_label(label_list): """ Find first non-blank label """ llist = [lobj.get_text().strip() for lobj in label_list] for label_index, label_text in enumerate(llist): if label_text not in [None, '']: return label_index
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import logging def sqrt(number): """ Calculate the floored square root of a number Args: number(int): Number to find the floored squared root Returns: int: Floored Square Root """ if not isinstance(number, int): logging.error("Invalid input type. Should be integer.") ...
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import math def utilityY(c1,c2,rho): """Compute the utility of the young agents Args: c1 (float): consumption of the young generation c2 (float): consumption of the old generation rho (float): discount parameter Returns: (float): utilit...
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import operator def _sortIssues(issues): """ Helper function from _formatIssues(). Sort a list of issues by issue number and then by comment creation date. GIVEN: issues (list) -- nested list of issues and their comments RETURN: new_issues (list) -- the given 'issues' list, but sorte...
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def time_to_string(time: int) -> str: """Convert time to string representation Args: time (int): Time in seconds Returns: str: Time in MM:SS format """ if time < 0: raise ValueError("Negative integer not supported") return "%02d:%02d" % (time // 60, time % 60)
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def rgb_hex_to_rgb_list(hex_string: str): """Return an RGB color value list from a hex color string.""" return [ int(hex_string[i: i + len(hex_string) // 3], 16) for i in range(0, len(hex_string), len(hex_string) // 3) ]
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import binascii def bytes_to_hex(seq): """Converts seq from byte array to hex string""" return str(binascii.hexlify(bytes(seq)), 'ascii')
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def check_inequality(left_version, right_op, right_version, **_): """ Checks for version compatibility when the dependency for 'left_version' has specified an explicitly disallowed version Args: left_version (packaging.version.Version): The version on the left side of the comparison...
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def thermal_energy(particles): """ Returns the total internal energy of the (gas) particles in the particles set. >>> from amuse.datamodel import Particles >>> particles = Particles(2) >>> particles.u = [0.5, 0.5] | units.ms**2 >>> particles.mass = [1.0, 1.0] | units.kg >>> particles.th...
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def ensure_existence(f): """ Ensures that method is not marked as non_existent Parameters ---------- f Method Raises ------ NotImplementedError if the method is marked as non existent Returns ------- Method f """ if getattr(f, 'not_existing', False): raise Not...
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from typing import Dict from typing import List def get_evaluations(data: Dict[int, List[int]]) -> Dict[int, float]: """ Turns a dictionary with float lists into a dict with mean values. :param data: Input dictionary with float lists :return: Output dictionary with float mean values ...
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def has_all_dims(dp_or_event, dims): """ Tests if `dims`'s are all in a certain datapoint or event """ return dims.items() <= {d.key: d.value for d in dp_or_event.dimensions}.items()
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def compound_noun_list(token): """Find compound nouns. :param token: token for which to generate potential compound nouns :type token: :class:`spacy.token` :return: list of potential compounds :rtype: [string] """ nouns = [token.text] for nc in token.lefts: if nc.dep_ == "compou...
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def find_num_player_in_group(group): """ find the number of players in a group :param group: A Group object :return: number of players in the group """ players = group.players.all() return (len(players))
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import json async def _sendLambdaRequest(session, lambdaUrl, anomalyServiceObj): """ Async method to send anomaly detection request to lambda :param session: ClientSession instance for aiohttp :param lambdaUrl: AWS Lambda invocation endpoint :param anomalyServiceObject: Dict containing parameter d...
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def csv_to_list(x): """Converts a comma separated string to a list of strings.""" return x.split(",")
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def nbAlternatives(instance): """ Returns the number of alternatives of the instance. :param instance: The instance. :type instance: preflibtools.instance.preflibinstance.PreflibInstance :return: The number of alternatives of the instance. :rtype: int """ return instance.nbAlternatives
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def do_selective_backprop( epoch: int, batch_idx: int, start_epoch: int, end_epoch: int, interrupt: int, ) -> bool: """Decide if selective backprop should be run based on time in training. Returns true if the current ``epoch`` is between ``start_epoch`` and ``end_epoch``. Recommend that...
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def extract_CA_coords(helices, model, verbose=False): """get CA coordinates for rach residue in each helix input: helix list, each helix is list of its residues in format (chain, ('', resnum, '')) output: list of helices, each helix is list of CA coords (Biopython Vector class) of its residues """ print('Extracti...
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import typing from pathlib import Path def valid_voice_dir(voice_dir: typing.Union[str, Path]) -> bool: """Return True if directory exists and has an onnx file""" voice_dir = Path(voice_dir) return voice_dir.is_dir() and (len(list(voice_dir.glob("*.onnx"))) > 0)
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def get_most_sold_item(df): """Return a tuple of the name of the most sold item and the number of units sold""" most_sold_df = df.groupby(['Item'])['Units'].sum() return (most_sold_df.idxmax(), most_sold_df.loc[most_sold_df.idxmax()]) pass
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def function1(a,b): """This is a function which will calculate average of two numbers.""" #docstrings average = (a+b)/2 #print(average) return average
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def prc_rerouted(XMLDataFrame, XMLDataFrameRef): """ Compute the % of rerouted vehicles """ # diffPaths = pd.concat( # [XMLDataFrame["itineraire"], XMLDataFrameRef["itineraire"]] # ).drop_duplicates(keep=False) # nChangedPaths = diffPaths.count() # nGeneratedVeh = XMLDataFrameRe...
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def _isLinked(self): """Return True if another record links to this record""" if len( self._inx.iref_by_sect[self.uid].a.keys() ) == 0: return False for k in self._inx.iref_by_sect[self.uid].a.keys(): if len( self._inx.iref_by_sect[self.uid].a[k] ) > 0: return True return False
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import hashlib def _md5_of_file(path): """Compute and return the MD5 sum of a flat file. The MD5 is returned as a hexadecimal string. """ md5 = hashlib.md5() with open(path, 'rb') as f: for chunk in iter(lambda: f.read(4096), b''): md5.update(chunk) return md5.hexdigest(...
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def read_file(filename) -> str: """Read the contents of the file into a string :param filename: path to the file to be read :return: string will contents of the file """ with open(filename, 'r', encoding='utf-8') as file_content: return file_content.read()
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def query_successful(api_response): """This function reviews the API response from the Community API to verify whether or not the call was successful. :param api_response: The response from the API in JSON format :type api_response: dict :returns: Boolean indicating whether or not the API call was succ...
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def crop_image_to_bounding_box(img, bnd_box): """Crops the given image to the given bounding box""" result = img[bnd_box[0][1] : bnd_box[1][1] + 1, bnd_box[0][0] : bnd_box[1][0] + 1] return result
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from typing import Tuple import secrets import hmac import hashlib def get_nonce_and_hash() -> Tuple[str, str]: """ Get a secure random nonce and a hmac of that nonce """ nonce: str = secrets.token_hex(32) nonce_hash: str = hmac.HMAC( bytes.fromhex(nonce), digestmod=hashlib.sha256 ).he...
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import torch def accuracy(y_pred: torch.Tensor, y: torch.Tensor) -> float: """ Return predictive accuracy. Parameters --- y_pred: torch.Tensor (BATCH, NUM_CLASS) Predicted values. y: torch.Tensor (BATCH,) Real class values. """ return (y_pred.argmax(dim=1) == y).float(...
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def min(self, parameter_min): """ It returns the minimum value of a parameter and the value's indexes. Parameters ---------- parameter_min: str Name of the parameter. Returns ------- min_dict: dict Dictionary with the following format: { ...
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def estimate_fuse_passengers(fus_nb, FLOORS_NB, PASS_PER_TOILET, cabin_area,\ MASS_PASS, pass_density): """ The function evaluates the number of passengers members on board in case of an unconventional aircraft with fuselage. Source : passengers density is defined averaging...
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from typing import Dict import requests def google_oauth2_info() -> Dict: """Return Google's spec for their OAuth endpoints.""" resp = requests.get("https://accounts.google.com/.well-known/openid-configuration") info = resp.json() return info
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from typing import OrderedDict def events_v2_data(alert, routing_key, with_record=True): """Helper method to generate the payload to create an event using PagerDuty Events API v2 Args: alert (Alert): Alert relevant to the triggered rule routing_key (str): Routing key for this PagerDuty integr...
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from typing import Dict from typing import List def dict_to_list(data: Dict[str, Dict]) -> List[Dict]: """Convert a dictionary to a list of 1-element dictionaries. """ return [{k: v} for k, v in data.items()]
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def _rk12_step(func, y0, dt): """Improved Euler-Integration step to integrate dynamics. Args: func: Function handle to time derivative. y0: Current state. dt: Integration step. Returns: Next state. """ dy = func(y0) y_ = y0 + dt * dy return y0 + dt / 2. * (dy + func(y_))
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from pathlib import Path def fixture_fixtures_path() -> Path: """Path to dir with fixture files""" return Path("tests/fixtures")
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def msg2dict(msg): """Convert a generic ROS message into a dictionary (un-nested) :param msg: ROS message to convert :rtype: dict """ return {k: getattr(msg, k) for k in msg.get_fields_and_field_types().keys()}
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def srcds_functional(**filter_): """Enable SRCDS functional testing for a test case This decorator will cause the test case to be parametrised with addresses for Source servers as returned from the master server. The test case should request a fixture called ``address`` which is a two-item tuple of...
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import difflib def get_close_matches_icase(word, possibilities, *args, **kwargs): """Case-insensitive version of difflib.get_close_matches""" lword = word.lower() lpos = {p.lower(): p for p in possibilities} lmatch = difflib.get_close_matches(lword, lpos.keys(), *args, **kwargs) return [lpos[m] fo...
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def pascal2snake(string: str): """String Convert: PascalCase to snake_case""" return ''.join( word.title() for word in string.split('_') )
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def data_classification_level(dsv): """Returns the data classification level of the calculated data sensitivity value.""" if dsv < 15: return 1 elif 15 <= dsv < 100: return 2 elif 100 <= dsv < 150: return 3 else: return 4
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def apply_styles(graph, styles): """ Apply the styles to a Graphviz graph. """ graph.graph_attr.update( ('graph' in styles and styles['graph']) or {} ) graph.node_attr.update( ('nodes' in styles and styles['nodes']) or {} ) graph.edge_attr.update( ('edges' in styl...
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import pickle def load_arrays(name): """Load arrays from file.""" with open(name, 'rb') as file: coords = pickle.load(file) edof = pickle.load(file) dofs = pickle.load(file) bdofs = pickle.load(file) elementmarkers = pickle.load(file) boundaryElements = pickle....
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def read_translated_file(filename, data): """Read a file inserting data. Arguments: filename (str): file to read data (dict): dictionary with data to insert into file Returns: list of lines. """ if filename: with open(filename) as f: text = f.read().repl...
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def not_better_than_after(minimal, n_iter): """Return a stop criterion that returns True if the error is not less than `minimal` after `n_iter` iterations.""" def inner(info): return info['n_iter'] > n_iter and info['loss'] >= minimal return inner
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def int_or_None(val): """converter that casts val to int, or returns None if val is string 'None'""" if val == 'None': return None else: return int(val)
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def create_test_partition(df, N_batch): """ Creates a partition of the dataset into a single test set. Parameters ---------- df : pandas dataframe Dataframe corresponding to the dataset. split_ratio : float Training sample percentage, must be between 0 and 1....
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def dist_interval(v, mi, ma): """ Distance from v to interval [min,max] """ if v < mi: return mi - v if v > ma: return v - ma return 0
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def prune_nones(mydict): """ Remove keys from `mydict` whose values are `None` :arg mydict: The dictionary to act on :rtype: dict """ # Test for `None` instead of existence or zero values will be caught return dict([(k, v) for k, v in mydict.items() if v != None and v != 'None'])
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def str_to_act(env, actions): """ Simplifies specifying actions for the scripted part of the agent. Some examples for a string with a single action: 'craft:planks' 'camera:[10,0]' 'attack' 'jump' '' There should be no spaces in single actions, as we use spaces to ...
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def namedModule(name): """ Return a module given its name. """ topLevel = __import__(name) packages = name.split(".")[1:] m = topLevel for p in packages: m = getattr(m, p) return m
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def add_(string = ''): """ Add an _ if string is not empty """ s = '' if string: s = string + '_' return s
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import json def load_json_schema(filename=None): """ Loads the given schema file """ if filename is None: return with open(filename) as schema_file: schema = json.loads(schema_file.read()) return schema
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def proc_create_query(prname, prtext, argslist=None): """Base method for creating procedure with given name, body and args.""" prtext = prtext.replace("'", "''") TEMPLATE = """ CREATE OR REPLACE FUNCTION {prname}({argstext}) RETURNS VOID AS' {prtext}' LANGUAGE plpgsql; """ argstext =...
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