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def notas(* num, sit=False): """notas Parâmetros: num (array): É a lista de notas que será recebido para calcular os dados do aluno sit (bool, optional): É o parâmetro para mostrar ou não a situação do aluno. Defaults to False. Returns: dados (dict): Dicionário com as informações d...
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def int_to_ordinal(num: int) -> str: """ Returns ordinal number string from int, e.g. 1, 2, 3 becomes 1st, 2nd, 3rd, etc. """ n = int(num) if 4 <= n <= 20: return f"{n}th" elif n == 1 or (n % 10) == 1: return f"{n}st" elif n == 2 or (n % 10) == 2: return f"{n}nd" ...
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def get_parametrize_markers_args(node): """In pytest 3.6 new API to access markers has been introduced and it deprecated MarkInfo objects. This function uses that API if it is available otherwise it uses MarkInfo objects. """ return tuple(arg for mark in node.iter_markers("parametrize") for arg in ...
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def update_vertex_properties(g, v, prop_dict): """ Helper method for updating several vertex properties at once in a graph-tool graph. Args: g (gt.Graph): a graph-tool Graph object. v (gt.Vertex or int): a graph-tool Vertex object (or its index) for a vertex in the provided ...
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import torch def smape(y, y_): """ Symmetric mean absolute percentage error. :param y: target :param y_: prediction :return: SMAPE """ return torch.mean( torch.sum(torch.abs(y_ - y) / (torch.abs(y) + torch.abs(y_)), dim=1) * (1.0 / y.shape[1]), dim=0, )
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def invert_dict_mapping_all(mapping_dictionary): """ Args: mapping_dictionary: mapping from keys to values which is not necessarily injective, e.g., node_id to community_id mapping Returns: inverted mapping with unique values as keys and lists of former keys as values, e.g., com...
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import wave def wavfile_duration(wavfile): """Return the duration of a wav file in seconds.""" wave_fp = wave.open(wavfile, 'rb') sample_rate = wave_fp.getframerate() nframes = wave_fp.getnframes() return nframes/sample_rate
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def ht_cm_sqm(ht): """Converts height from centimeter to squared meter Parameters ---------- ht: double height in cms Returns ------- double height in squared meter. Examples -------- >>> ht_cm_sqm(175) 1.75 """ return (ht / 100) ** 2
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def expand(fluid, p_final, eta): """Adiabatically expand a fluid to pressure p_final, using a turbine with isentropic efficiency eta.""" h0 = fluid.h s0 = fluid.s fluid.SP =s0, p_final h1s = fluid.h isentropic_work = h0 - h1s actual_work = isentropic_work * eta h1 = h0 - actual_work ...
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def to_hex(v, nb_bits=16): """ Convert the value 'v' into a hexadecimal string (without the prefix 0x)""" try: v_hex = v.hex() except AttributeError: v_hex = hex(v)[2:] return '0'*(nb_bits//4-len(v_hex)) + v_hex
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def xywh_to_xyminmax(x, y, w, h): """convert box coordinates from (x, y, w , h) form to (xmin, ymin, xmax, ymax) form""" return [x, y, x + w, y + h]
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def format_with_braces(*vars: str): """This is a demo exercise of using format() with positional {} in order to insert variables into the string. Examples: >>> format_with_braces('hi','there','fella')\n hi there fella\n ['hi', 'there', 'fella']\n 'blah hi blah there blah fella' ...
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def _static_framework_transition_impl(_settings, _attr): """Attribute transition for static frameworks to enable swiftinterface generation.""" return { "@build_bazel_rules_swift//swift:emit_swiftinterface": True, }
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def _get_sequential_table( seqType ): """ Generates the table to fill sequence data in order to create a :class:`.SequenceFrame` :param seqType: Type of sequence: ``protein``, ``protein_sse``, ``dna``, ``rna``. :type seqType: :class:`str` :return: :class:`dict` :raise: :Va...
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import pathlib def is_expanded_digital_asset_dir(path: pathlib.Path) -> bool: """Check if a folder is an expanded digital asset. We say a folder is an expanded digital asset if it has a "Sections.list" file inside. :param path: The folder to check. :return: Whether the folder is an expanded digital ...
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def to_boolean(value): """ Convert a string to boolean, case insensitively, where true values are: true, t, and 1 and false values are: false, f, 0. Raise a ValueError for all other values. """ if isinstance(value, bool): return value if isinstance(value, str): lower_value =...
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async def cmd_rename(ctx): """ Usage``: rename <groupname> Description: Set the name of your current group to `groupname`. Arguments:: groupname: The new name for your group, less than `20` charachters long. Related: join, status, groups """ timer = ctx.client...
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def are_all_elements_unique(elements): """Check if there are any repeated element in the list of elements. If yes return False otherwise return True.""" unique_elements = set() for element in elements: if element in unique_elements: return False unique_elements.add(element) r...
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def is_buzz(replace_array, count): """ This function checks whether the count is a multiple of any of the numbers in replace_array[0] are replaces the output with the text with the same index in replace_array[1]. If it is not a multiple with any of the numbers it will return the number as a string. ...
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def copy_to_device(item, device, criterion_func): """ Return a copy of tensor on specified device. Works on individual tensors, and tensors contained/nested in lists, tuples, and dicts. Parameters: item: tensor to copy or (possibly nested) container of tensors to copy. device: target dev...
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def aspect(df): """Return the aspect ratio of a Geopandas dataset""" tb = df.total_bounds return abs((tb[0] - tb[2]) / (tb[1] - tb[3]))
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def read_file(file_name): """Read file and return its contents.""" with open(file_name, "r") as f: return f.read()
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import logging def unwrap_state_dict(checkpoint, verbose=True): """Remove `module.` prefix for `state_dict`.""" with_wrapper = False new_checkpoint = {} for key, val in checkpoint.items(): if with_wrapper: # all keys consistent assert key.startswith('module.') if key.start...
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def getSZLen(abData, off): """ Get the length of a zero-terminated string field, in bytes. Returns -1 if off is beyond the data packet or not properly terminated. """ cbData = len(abData); if off >= cbData: return -1; offCur = off; while abData[offCur] != 0: offCur = off...
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def create_iam_policy(bindings_spec): """ Create an IAM policy for the resource. """ return { 'gcpIamPolicy': { 'bindings': bindings_spec } }
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def cidr_mask_clears_minimum_size(cidrs: list, min_size: int): """ Verify all subnet masks in a list of CIDR blocks are larger than a minimum Args: cidrs: list of CIDR block strings min_size: smallest size allowed for mask Returns: bool """ return all([int(cidr.split("/")[1]) <...
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async def get_int_set(redis, key): """Get a set of integers on redis.""" str_set = await redis.smembers(key) int_set = [int(i) for i in str_set] return int_set
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def scale(x, copy=True): """Scale `x` to unity. Subtract min and divide by (max-min). Parameters ---------- x : array_like copy : bool copy `x` before scaling Returns ------- x_scaled """ xx = x.copy() if copy else x xx = xx - xx.min() xx /= xx.max() re...
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def clone_task_definition(client, task_definition): """ Given a task definition ARN, clone the associated task. Returns the new task definition ARN. """ resp = client.describe_task_definition(taskDefinition=task_definition) taskDefinition = resp['taskDefinition'] # The task definition cont...
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import shutil def move_file(source, destination): """Move a file""" shutil.move(source, destination) return True
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from datetime import datetime def unpackTimecode(timecode): """unpacks a timecode to minutes, seconds, and milliseconds""" if "." in timecode: x = datetime.strptime(timecode, '[%M:%S.%f]') else: x = datetime.strptime(timecode, '[%M:%S]') minutes = x.minute seconds = x.second m...
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import requests def rGetJSON(url: str): """GET the contents of an URL and return its response as a JSON object""" response = requests.get(url) return response.json()
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from typing import Counter import itertools def build_vocab(sentences1, sentences2): """ Builds a vocabulary mapping from word to index based on the sentences. Returns vocabulary mapping and inverse vocabulary mapping. """ # Build vocabulary word_counts1 = Counter(itertools.chain(*sentences1))...
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def pers_name(data): """ extract text from TEI element <persName> """ try: return data.find(".//persName", namespaces=data.nsmap).text except AttributeError: pass return None
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def same_type(values, types): """Check if values are belongs to same type or type tuple. :param collections.Iterable values: values to check type similarity :param tuple|type types: type or tuple of types """ return all(map(lambda it: isinstance(it, types), values))
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def calculate_cells(anchor_point_list_dict, cell_size_meters, utm_bounds=[]): """ Calculate boundaries for image cells (chips) from anchor points. This function takes the output from :func:`calculate_anchor_points` as well as a desired cell size (`cell_size_meters`) and outputs ``(W, S, E, N)`` tuples ...
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def getWordPattern(word: str) -> str: """Get word pattern Returns a string of the pattern form of the given word. Args: word: String containing word to convert into word pattern. Example: >>> import pythontutorials.books.CrackingCodes.Ch17.makeWordPatterns as makeWordPatterns >>> make...
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import csv def read_links(path_to_csv, index): """ reads csv file for project links :param path_to_csv: path to the csv file :param index: index to keep data from :return: list of parsed data """ link_list = [] skip = True # to skip the column headings with open(path_to_csv, "r")...
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def solution(n: int = 1000) -> int: """ Returns ∑ r_max for 3 <= a <= n as explained above >>> solution(10) 300 >>> solution(100) 330750 >>> solution(1000) 333082500 """ return sum(2 * a * ((a - 1) // 2) for a in range(3, n + 1))
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from typing import List from typing import Tuple import pathlib import imghdr def sort_target_type(target_list: List[str]) -> Tuple[List[str], List[str], List[str]]: """sort input files by type Args: target_list (List[str]): list of pictures or movies or directories where pictures are stored Returns: ...
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def is_subseq(l1, l2): """is every element of l1 also in l2? (non-unique and order sensitive)""" it = iter(l2) return all(d in it for d in l1)
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def string_list_validator(value: str) -> str: """ Validate if value is a str Arguments: value {str} -- value to validate Raises: ValueError: value is not a type of str ValueError: Value can't be a empty string Returns: str -- unchanged input value """ # ra...
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def location_to_hex(location): """convert location to hex for display""" ret = "%08X" % int(location) return ret
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from typing import Any import json def from_json(s: str, **kwargs: Any) -> object: """ Convert a JSON string to an object representation. For usage, see json.loads(...). """ return json.loads(s, **kwargs)
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def _should_process_segment(seg, segname): """Check if we should process the specified segment.""" return segname.endswith('__DATA_CONST.__mod_init_func') or \ segname == '__DATA.__kmod_init'
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from math import ceil # Biblioteca para arrendondamento do valor da média def notas(*n, sit=False): """ -> Função de Analise: com Qdtde de notas, o valor maior; menor e média da turma. :param n: uma ou mais notas dos alunos para analise. :param sit: valor opcional para saber situação da média dos alu...
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import re def clean_atomtype(atomtype): """Removes extraneous charge info from atomtype Atomtypes occasionally have charges such as O1+ or N1-. This function uses regexps to replace these out. atomtype: String Raw atomtype extracted from PDB """ return re.sub(r'[0-9]+[+-]?', r'', atomtype)
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def _async_request_completed(payload): """Looks into an async response payload to see if the requested job has finished.""" if payload["status"] == "COMPLETED": return True if payload["status"] == "ERROR": return True return False
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import re def isSynchronous(key1, key2, mali, exons): """check if two transcripts are on synchronous positions. Two transcripts are synchroneous, if their position in the alignment and on the genomic sequence are both a < b. Both front and end are taken into account. Note that they can still be ...
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def get_assign_default_value_rule(variable_name: str, default_value_parameter_name: str): """ Returns a rule that sets a default value for a variable. @param variable_name: The name of the variable whose default should be set (as a string) @param default_value_parameter_name: The name of the parameter ...
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def get(lens, big): """ Get a value from `big` using `lens`. """ return lens.get(big)
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def convert_reference_json(reference_json, data_object): """ Converts the reference JSON download from DSS into the DOS message and returns the DOS message. :param reference_json: :param data_object: :return: """ # {u'content-type': u'application/octet-stream', # u'crc32c': u'e2a2bc0...
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def none_if_na(s): """Return None if s == 'N/A'. Return s otherwise.""" return None if s == 'N/A' else s
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def encode_str(s): """Returns the hexadecimal representation of ``s``""" return ''.join("%02x" % ord(n) for n in s)
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def _StaticValueInner(value, ctx, _): # pylint: disable=W0613 """Returns a static value. """ return value
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def pct_max_weekly_submissions(quiz_df, quiz_meta_df): """ Helper function to compute student weekly submissions as a percentage of max # of submissions, and as a percentage of the highest number of student submissions that week. :param quiz_df: pd.DataFrame of quiz submission data. :param quiz_meta_df:...
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def dthandler(obj): """ISO formatting for datetime to be used in JSON. """ if hasattr(obj, 'isoformat'): return obj.isoformat() else: raise TypeError("Object can not be isoformatted.")
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def requires(modules): """Decorator to wrap functions with soft dependencies. This function was inspired by the `requires` function of pysal, which is released under the 'BSD 3-Clause "New" or "Revised" License'. https://github.com/pysal/pysal/blob/master/pysal/lib/common.py Parameters ------...
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def _get_edges(value, last_value, mask): """ Given two integer values representing a current and a past value, and a bit mask, this function will return two integer values representing the bits with rising (re) and falling (fe) edges. """ changed = value ^ last_value re = changed & value...
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def post_string(descr): """Constructs a http POST description string from dataset description""" output = "dsid=ds%(dsid)s&rtype=S&rinfo=dsnum=%(dsid)s;\ startdate=%(startdate)s;enddate=%(enddate)s;parameters=%(parameters)s;\ level=%(level)s;product=%(product)s;grid_definition=%(grid_definition)s;ststep=%(...
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def FormatIssueRef(issue_ref_tuple, default_project_name=None): """Format an issue reference for users: e.g., 123, or projectname:123.""" if issue_ref_tuple is None: return '' project_name, local_id = issue_ref_tuple if project_name and project_name != default_project_name: return '%s:%d' % (project_nam...
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import torch def sharded_bmm(args, kwargs, pg): """ Handles ``__torch_function__`` dispatch for the sharded_bmm op. Warning: For now we only supports the case when both tensors are sharded by dim 0 so that no local communication. Args: same as ``torch.bmm``. Return: local_t...
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import re def RemoveExtension(rc, stdout, stderr): """Stores the basename of the path in stdout to the property package_base.""" base = re.sub(r'\.[^.]+$', r'', stdout) return {'package_base': base}
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def asciify(text): """Translate non-ascii charaters to ascii equivalent. **Example:** >>> asciify('áéíóúÁÉÍÓÚñÑ') 'aeiouaeiounn' """ def translate(c): if c in ['\u00C0', '\u00C1', '\u00C2', '\u00C3', '\u00C4', '\u00C5', '\u00E0', '\u00E1', '\u00E2', '\u00E3', ...
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def input_as_string(filename:str) -> str: """returns the content of the input file as a string""" with open(filename) as f: return f.read().rstrip("\n")
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def jwt_auth_required(callable_obj): """A decorator that signs a callable object with an "auth_required" attribute (True). We use this attribute to find which handler callbacks require an authorized for protected access. Args: callable_obj (instance): A handler callable object. Returns: ...
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import torch def projection_simplex(u, r=1): """Project u unto the the r-simplex, i.e. out = min_v || v - u ||_2^2, subject to sum(v_i)_i=1^n = r, v_i >= 0 Parameters ---------- u : torch.tensor Vector to be projected of shape (n,). r : positive float Simplex constant. ...
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import json def create_cat_to_name_dict(filepath): """Return a dictionary containing category names and keys from a json file Args: filepath (str): Directory to a json file containing category names and keys for all data in train set Returns: dict: A python dictionary object mapping a key to each category i...
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def compute_gradient(tx, error_vector): """ Computes the gradient for the mean squared error loss function. Args: y: labels error_vector: error vector computed for a specific data set and model Returns: gradient: the gradient vector computed according to its definition """ ...
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import copy def remove_connected_component(cc, connected_components): """ Attempt to remove connected component and return the smaller set :param Panel cc: connected component to remove :param iterable connected_components: set of all connected components :return: smaller set of connected componen...
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def obj_of(k, v): """Creates an object containing a single key:value pair""" return {k: v}
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def get_by_path(dic, path): """ Gets a key (can be specified via dot notation) `path` in a nested `dic` """ parts = path.split('.') loc = dic for part in parts: if part not in loc: raise KeyError(path) loc = loc[part] return loc
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def _is_accepting(node): """Check if node is accepting.""" return node.get("type") == "Accepting"
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def map_base_attributes(cube, mapper_class, naming, locale=None): """Map all base attributes of `cube` using mapping function `mapper`. `naming` is a naming convention object. Returns a tuple (`fact_name`, `mapping`) where `fact_name` is a fact table name and `mapping` is a dictionary of attribute refer...
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def rm_last(*args): """ Remove the last index from each list """ if len(args) == 1: return args[:-1] else: return [a[:-1] for a in args] return
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from pathlib import Path def get_final_path(output_path: Path, set_type: str, samp_name: str) -> Path: """Get path of output file Arguments: output_path {Path} -- root of output path set_type {str} -- data set type samp_name {str} -- name of sample Returns: Path -- comple...
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def parseStr(x): """ function to parse a string Parameters ---------- x : str input string Returns ------- int or float or str parsed string """ try: return int(x) except ValueError: try: return float(x) except ValueError:...
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from typing import OrderedDict def parse_tuple_latency(tl_file): """ Read the log of latencies and extract the relevant values for each time window, returning an ordered dictionary of instant latencies per component. """ latencies = OrderedDict() header = {} ts = 0 for line in open(tl...
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import torch def vectorize(data, dtype=torch.uint8): """ Vectorizes a tuple or int into a torch tensor. """ # Don't need to vectorize an int, its broadcasted if isinstance(data, int): return data elif isinstance(data, tuple): # If the elements are the same, there is be no need for this...
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import re def human_sort_key(s): """ A key function to sort alpha-numerically, not by string From http://nedbatchelder.com/blog/200712/human_sorting.html This function can be used as the key for a sort algorithm to give it an understanding of numbers, i.e. [a1, a2, a10], instead of the default (A...
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def site_center(sites): """ Find the geometric center of a collection of sites. :param sites: Tuple of Site objects :return: Array of the cartesian coordinates of the center of the sites """ return sum([site.coords for site in sites]) / len(sites)
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import re def parseCrysolLog(logFileName): """Parse Crysol log file, obtain Chi2, Rg and eDens""" # will not parse crysol_summary.txt, but the .log file # created for each individual run chi2 = 9999 Rg = -9999 eDens = -9999 position = -1 counter = 0 with open(logFileName, 'r') as...
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import logging def run_simulation(simulation): """ Fires of the simulation of a single game. Useful for the multiprocessing map call. Args: simulation (Simulation): Instance of a single game simulation Returns: (Simulation) Completed simulation """ logging.info(f"Startin...
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import uuid def random_uuid(use_uuid1: bool = False) -> uuid.UUID: """ Get a random UUID. :param use_uuid1: Use UUID1 if True, else use UUID4. :return: A random UUID. """ return uuid.uuid1() if use_uuid1 else uuid.uuid4()
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import ctypes def _get_bytes_buffer(ptr, nbytes): """ Get a ctypes array of *nbytes* starting at *ptr*. """ if isinstance(ptr, ctypes.c_void_p): ptr = ptr.value arrty = ctypes.c_byte * nbytes return arrty.from_address(ptr)
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import torch def harmonic(x, k, eq, order=[2]): """Harmonic term. Parameters ---------- x : `torch.Tensor`, `shape=(batch_size, 1)` k : `torch.Tensor`, `shape=(batch_size, len(order))` eq : `torch.Tensor`, `shape=(batch_size, len(order))` order : `int` or `List` of `int` Returns ...
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def get_embeddings(model, data, device): """ Get best embeddings Args - model (torch object): best model - data (Data object): dataset - device (torch object): cpu or cuda Return - all_emb (tensor): best embedding for all nodes """ model.eval() dat...
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def format_pytesseract_dict_results(ocr_res: dict) -> tuple: """Formats results from pytesseract.image_to_data(img, output_type=Output.DICT) function. Parameters ---------- ocr_res : dict result of pytesseract.image_to_data(img, output_type=Output.DICT) Returns ------- tuple(li...
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def __cleanup_stdout(stdout): """Removes empty elements from the stdout/stderr list returned by run param stdout: string output of subprocess stdout returns: list of lines from stdout """ return list(filter(None, stdout.split('\n')))
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import re def boolean_to_upper(data): """Convert boolean operators to uppercase""" ops = ['and', 'or', 'not'] for op in ops: data = re.sub(r"\b%s\b" % (op), op.upper(), data) return data
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def parse_style(style): """Parse a style string. The format is a space-separated list of tokens, in order <lineformat> <markerformat> <seriesformat> Valid values: lineformat: matplotlib line style, or dash sequence as list of "-"-separated integers m...
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def GetMavenGroupId(owner_domain): """Returns the maven group id for a given owner domain. Args: owner_domain: (str) The owner domain. Returns: (str) The group id. """ if owner_domain == 'google.com': return 'com.google.apis' else: return '.'.join(reversed(owner_domain.split('.')))
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def change1(line, old, new): """replace old with new if old in line. """ return line.replace(old, new)
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from typing import List def header_content_split(string: str, delimiter: str) -> List[str]: """ Take a string and split it according to the passed delimiter. It will ignore delimiter if inside between double quote, inside a value, or in parenthesis. The input string is considered perfectly formed. Thi...
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def increment_dictionary_with_dictionary(dict_a, dict_b): """ Function to add the values from one dictionary to the values from the same keys in another. Args: dict_a: First dictionary to be added dict_b: Second dictionary to be added Return: The combined dictionary """ ...
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def DistributedWaitForReadyMidasTalker (midastalker_list, immediate_return, timeout=None) : """ Given a list of MidasTalkers, this returns a list of all 'ready' MidasTalkers. Take the given timeout, distribute it evenly over all MidasTalkers so that the maximum wait (if al...
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def is_ccw_xy(a, b, c, colinear=False): """Determine if c is on the left of ab when looking from a to b, and assuming that all points lie in the XY plane. Parameters ---------- a : sequence of float XY(Z) coordinates of the base point. b : sequence of float XY(Z) coordinates of ...
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def original_error(err): """ Returns original exception from graphql exception wrappers. graphql-core wraps exceptions that occurs on resolvers into special type with ``original_error`` attribute, which contains the real exception. """ return err.original_error if hasattr(err, 'original_error')...
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def vDot(v, w): """ Return the dot product of v . w """ return v[0]*w[0] + v[1]*w[1] + v[2]*w[2]
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def mels_len(mels): """Gets lenfth of log mel-spectrogram.""" return mels.shape[1]
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