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def decimal_to_hex(number): """ Calculates the hex of the given decimal number. :param number: decimal number in string or integer format :return string of the equivalent hex number """ if isinstance(number, str): number = int(number) hexadec = [] hex_equivalents = {...
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import math def t_score(own_team_scores, enemy_team_scores, neutral_scores, assassin_scores, weights=(1, 1, 1, 1)): """ Performs an independent two-sample t-test on own_team_scores and the combination of enemy_team_scores, neutral_scores and assassin_scores. The formula used accounts for the fact that the sample s...
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import json def load_config(filename): """ load config file Arguments: ---------- filename {str} -- file name of configuration file Returns: {dict} -- parameter dictionary Examples: --------- >>> data = load_config("../config/DecisionTreeConfig.json") # Preset pa...
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def perplexity(self, text): """ Calculates the perplexity of the given text. This is simply 2 ** cross-entropy for the text. :param text: words to calculate perplexity of :type text: Iterable[str] """ return pow(2.0, self.entropy(text))
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import copy def mat_shift(mat, way = 'down', inplace = False): """ Shifts a matrix's rows by one position """ assert mat.size != None if inplace: cmat = mat else: cmat = copy.deepcopy(mat) temp_mat = copy.deepcopy(cmat) if way.lower() == 'down': for r in rang...
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def bulkStress(dp, dV, V0): """variables: dp=change in fluid pressure dV=change in subject volume V0=original subject volume""" # B = bulk stress / bulk strain B = dp/(dV/V0) return B
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def superTuple(name, attributes): """Creates a Super Tuple class.""" dct = {} #Create __new__. nargs = len(attributes) def _new_(cls, *args): if len(args) != nargs: raise TypeError("%s takes %d arguments (%d given)." % (cls.__name__, ...
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import os def is_missing_or_empty_file(path): """ Returns true, if the given file_path does not exist or if the content of the file is empty. """ if path is None: return True return not os.path.isfile(path) or os.path.getsize(path) == 0
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import os import zipfile def unzip_file(file_name : str) -> str: """ Unpacks a ZIP file Keyword arguments: file_name -- path of the ZIP file Returns path to the folder containing the unpacked files. """ extraction_dir = os.path.join(os.path.dirname(file_name), os.path.bas...
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def valid_limit(limit, ubound=100): """Given a user-provided limit, return a valid int, or raise.""" limit = int(limit) assert limit > 0, "limit must be positive" assert limit <= ubound, "limit exceeds max" return limit
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def real_model(source_model): """ Get the source model whenever user give a source index or proxy index or proxy model. """ return source_model
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def crop(image): """Crop the image (removing the sky at the top and the car front at the bottom) Credit: https://github.com/naokishibuya/car-behavioral-cloning """ return image[60:-25, :, :]
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def get_content_type(result_set): """ Returns the content type of a result set. If only one item is included its content type is used. """ if len(result_set) == 1: return result_set[0].content_type else: return "multipart/related"
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import torch def _get_nms_kernel3d(kd: int, ky: int, kx: int) -> torch.Tensor: """Utility function, which returns neigh2channels conv kernel""" numel: int = kd * ky * kx center: int = numel // 2 weight = torch.eye(numel) weight[center, center] = 0 return weight.view(numel, 1, kd, ky, kx)
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def cover_website(website): """ >>> cover_website('https://unilexicon.com/vocabularies/') 'unilexicon&hellip;' """ www = website.replace('http://', '').replace('https://', '') return f'{www[:10]}&hellip;'
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import os def basicname(path): """Return the basename of the path without the extension""" return os.path.splitext(os.path.basename(path))[0]
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def chk_enum_arg(s): """Checks if the string `s` is a valid enum string. Return True or False.""" if len(s) == 0 or s[0].isspace() or s[-1].isspace(): return False else: return True
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from pathlib import Path def _sqlite_uri_to_path(uri: str) -> Path: """Convert a SQLite URI to a pathlib.Path""" return Path(uri.split(':')[-1]).resolve()
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def BytesFromFile(filename): """Read the EDID from binary blob form into list form. Args: filename: The name of the binary blob. Returns: The list of bytes that make up the EDID. """ with open(filename, 'rb') as f: chunk = f.read() return [int(x) for x in bytes(chunk)]
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import os def get_structures(base_dir): """Returns a copy of the directory tree without the runtype folders for each chemical system- no need to know if the file was ran as an optimisation or hessian etc... the files with a chemical name are initial coordinates, and equil.xyz are equilibrium coordinates found aft...
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import requests import re def pre_process_audio(url): """ Parsing read file, windows character set not supported in mac. Make this more elegant. """ abc_music = requests.get(url).content proc_abc_music = re.sub('\%(.*?)\\\\r\\\\n', '', str(abc_music)) proc_abc_music = re.sub('\#(.*?)\\\\r\...
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def matrix_divided(matrix, div): """matrix """ if (not isinstance(matrix, list) or matrix == [] or not all(isinstance(row, list) for row in matrix) or not all((isinstance(col, int) or isinstance(col, float)) for col in [num for row in matrix for num in row])): ...
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def allowed_file(filename): """Function checks if the file is in an acceptable format""" return '.' in filename and \ filename.rsplit('.', 1)[1].lower() in set(['png', 'jpg', 'jpeg'])
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def map_item_type(type): """Returns mapped type.""" item_types = { "1": "https://ils.rero.ch/api/item_types/1", "2": "https://ils.rero.ch/api/item_types/2", "3": "https://ils.rero.ch/api/item_types/3", "4": "https://ils.rero.ch/api/item_types/4", "5": "https://ils.rero.ch...
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import time def create_status(connection, uid, message, **data): """创建状态消息散列""" pipe = connection.pipeline(True) pipe.hget('user:' + uid, 'login') pipe.incr('status:id:') login, sid = pipe.execute() # 发布状态消息前先验证用户账号是否存在 if not login: return None data.update({ 'message':...
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def test_1arg(x): """ test_1arg(x) = x Must be called with exactly one argument "x". """ return x
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def divide_image_into_bounding_boxes(img,width_split=1,height_split=1): """ This splits the image into width_split x height_split bounding boxes based upon the... width_split: how many times to split the image in the x direction height_split: how many times to split the image in the ...
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import pathlib def tmp_yaml(tmp_path: pathlib.Path) -> pathlib.Path: """Temporary copy of path.yaml.""" dest_path = tmp_path / "path.yaml" src_path = pathlib.Path("tests/data/path.yaml") text = src_path.read_text() dest_path.write_text(text) return dest_path
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def _consume_response(response): """Consume content and release the original connection. Args: response: A requests.Response to whose connection to reuse. Returns: requests.PreparedRequest, a copy of the response's request. """ response.content response.close() return respo...
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def get_parameter_for_sharding(sharding_instances): """Return the parameter for sharding, based on the given number of sharding instances. Args: sharding_instances: int. How many sharding instances to be running. Returns: list(str). A list of parameters to represent the sharding config...
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def _set_default_junction_temperature( temperature_junction: float, temperature_case: float, environment_active_id: int, ) -> float: """Set the default junction temperature for integrated circuits. :param temperature_junction: the current junction temperature. :param temperature_case: the curre...
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import os def isDir(path): """ isDir(filename: string) determine whether a path is a directory """ return os.path.isdir(path)
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import os def get_int_environ_parameter( name: str, default: int = 0, ) -> int: """ Getting integer environment variable """ return int(os.environ.get(name, default))
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def if_error(f, x, upon_error): """ Mimics Excel IFERROR functionality. If you're using this, you're probably doing Python wrong. (If you're using this with numpy/pandas, check the numpy WHERE argument first.) But sometimes it's useful. Like maybe you'd like to ignore unicode errors for a wh...
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from typing import List def erase_overlap_intervals_count(intervals: List[List[int]]) -> int: """ LeteCode 435: Non-overlapping Intervals Given a list of intervals, find the minimum number of intervals you need to remove to make the rest of the intervals non-overlapping. Examples: 1. i...
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import re def check_pom(test, pom, org_name, artifact_name, version, dependencies): """ Check the contents of the pom. Make sure the groupId, artifactId, and version are properly set. :param org_name: organization (group) id of the package :param artifact_name: artifact id of package :param versio...
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def get_severity_points(severity): """ normal critical major trivial enhancement minor blocker :param severity: :return: """ points = 0 for i in severity: if i == 'normal': points += severity[i] * 3 elif i == 'critical': points...
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import re def generate_tid_dict(threat_reports): """this will return a dictionary with TID's as keys. Values will be a list of all threat reports for that TID""" tid_dict = {} pattern = "t\d{4}" for threat_report in threat_reports: # grab all the supported OS tags if "windows" in thre...
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import os import resource def spareprocs(): """ Compute the maximum number of threads we can start up according to ulimit """ if not os.path.exists("/proc"): # Return a decent small value, we just want it to run, more grindy tests # can take place on other machines. return 10 ...
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import os import pickle import json def gqa_create_answers(gqa_q='data/GQA-Questions', cache='data/GQA-Cache'): """ Create mapping from answers to labels """ # Create File Paths and Load from Disk (if cached) dfile = os.path.join(cache, 'answers.pkl') if os.path.exists(dfile): with open(dfile...
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def remove_title(soup): """Deletes the extra H1 title.""" h1 = soup.find('h1') if h1: h1.extract() return soup
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import numpy def symbolise( pitches, eps=8e-2 ): """ eps :: float = tan(5 degrees) default """ #if input pitches are all 0.0, categorise it as silent (3) if not pitches.any(): return 3 N = len(pitches) xs = numpy.arange(N) ys = pitches AA = numpy.vstack([xs, numpy.on...
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import torch def nosigmloss1d(a, b): """Get 1D sigmoid loss, WITHOUT applying the sigmoid function to the inputs beforehand. Args: a (torch.Tensor): Predicted output b (torch.Tensor): True output Returns: torch.Tensor: Loss """ x = a y = b ret = torch.mean(-y*tor...
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def insert_sort(data): """Sort data via insertion.""" try: idx = 0 count = 1 for x in data[1:]: if not isinstance(x, type(data[idx])): raise TypeError() while x < data[idx]: data[idx], data[idx + 1] = data[idx + 1], data[idx] ...
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import subprocess def run_subprocess(command): """Run commands as a subprocess using subprocess Args: command: list Returns: result: subprocess result object """ result = subprocess.run(command, capture_output=True, text=True ...
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import re def _convert_to_db_type(sval): """ Detect which database type (string, int, float) is most appropriate for sval and convert it to its corresponding database type. """ # floats: Ex. 1.23, 0.23, .23 if re.search(r'^\s*\d*\.\d+\s*$', sval): return float(sval) # ints: Ex. 0, 12...
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def source_key(resp): """ Provide the timestamp of the swift http response as a floating point value. Used as a sort key. :param resp: httplib response object """ return float(resp.getheader('x-put-timestamp') or resp.getheader('x-timestamp') or 0)
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def calculate_c_haines_index(t700: float, t850: float, d850: float) -> float: """ Given temperature and dew points values, calculate c-haines. Based on original work: Graham A. Mills and Lachlan McCaw (2010). Atmospheric Stability Environments and Fire Weather in Australia – extending the Haines Index. ...
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def build_initiator_target_map(connector, target_wwns, lookup_service): """Return a dictionary mapping server-wwns and lists of storage-wwns.""" init_targ_map = {} initiator_wwns = connector['wwpns'] if lookup_service: dev_map = lookup_service.get_device_mapping_from_network( initiat...
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def authenticate(resource_protector, scope=None, permissions=None): """ Used to authenticate request using CustomResourceProtector :param resource_protector: CustomResourceProtector :param scope: Scope with scopes string and operator (And/Or):: Scope(scopes="resource.create resource.read", ope...
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def param_max(data, i, body, param="Ecce", fmt="hdf5", **kwargs): """ Checks to see if at some point Prox b got within a certain number of sigma of its observed semimajox axis within specified age bounds. Parameters ---------- data : Dataset Object bigplanet hdf5 dataset wrangler...
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def walk(fn, obj, *args): """Recursively walk an object graph applying `fn`/`args` to objects.""" if type(obj) in [list, tuple]: return list(walk(fn, o, *args) for o in obj) if type(obj) is dict: return dict((walk(fn, k, *args), walk(fn, v, *args)) for k, v in obj.items()...
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def is_mol_parameter(param): """Identify if a parameter is a `mol` parameter.""" parts = param.split("_") return param.startswith("mol_") \ and parts[-1].isdigit() \ and len(parts) > 2
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def get_word(word): """Return normalized contents of a word.""" return "".join([n.string.strip() for n in word.contents if n.name in [None, "s"]])
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import os def generate_random_iv(iv_len): """Generates a random initialization vector (IV). :returns: Initialization vector :rtype: bytes """ return os.urandom(iv_len)
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def to_str(bytes_or_string): """if bytes, return the decoded string (unicode here in python3). else return itself""" if isinstance(bytes_or_string, bytes): return bytes_or_string.decode('utf-8') return bytes_or_string
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def _message_format(msg, image_info, device, partition_uuids): """Helper method to get and populate different messages.""" message = None result_msg = msg root_uuid = partition_uuids.get('root uuid') efi_system_partition_uuid = ( partition_uuids.get('efi system partition uuid')) if (ima...
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from typing import Any def dynamic_import(import_path: str) -> Any: """Dynamically import the specified object. It can be a module, class, method, function, attribute, nested arbitrarily. Parameters: import_path: The path of the object to import. Raises: ImportError: When there ...
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from typing import Tuple def screen_to_world(screen_pos: tuple, pan: tuple, zoom: float) -> Tuple[float, float]: """ Converts screen coordinates to world coordinates using the pan and zoom of the screen """ result = (((screen_pos[0] - pan[0]) / zoom), ...
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import numpy def visibility_shift(uvw, vis, dl, dm): """ Shift visibilities by the given image-space distance. This is based on simple FFT laws. It will require kernels to be suitably shifted as well to work correctly. :param uvw: :param vis: :math:`(u,v,w)` distribution of projected baseline...
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def count_empty(index, key): """ Count for any key how many papers leave the value unspecified. Note that this function only checks the first of the rows corresponding to a paper. """ count = 0 for paper, rows in index.items(): value = rows[0][key] if value in {"", "none given", ...
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from typing import Tuple def _convergent(continued_fractions: Tuple[int, ...],) -> Tuple[int, int]: """Get the convergent for a given continued fractions sequence of integers :param continued_fractions: Tuple representation of continued fraction :return: reduced continued fraction representation of conve...
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def matches_release(allowed_releases, release): """ Check if the given `release` is allowed to upgrade based in `allowed_releases`. :param allowed_releases: All supported releases :type allowed_releases: list or dict :param release: release name to be checked :type release: string :return: ...
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def _neighbor_indexes(n, mesh, restrict): """Find the indexes of the neighbors of n""" nz, ny, nx = mesh.shape indexes = [] if 'above' not in restrict: # The guy above tmp = n - nx * ny if tmp > 0: indexes.append(tmp) if 'below' not in restrict: # The guy ...
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def get_near_doctor(doctors,patient): """Returns extra zeros from path. Return Dynamical model generates duplicated zeros for several graphs when obtaining partial solutions. """ return doctors
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import argparse def _parse_args(args=None): """Parse `args` as command line options. If `args` is None, use sys.argv""" desc = 'File hash indexer for duplicate file finding.' parser = argparse.ArgumentParser(prog='dupi', description=desc) subparsers = parser.add_subparsers(dest='command') u...
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def is_valid_xml_char(char): """Check if a character is valid based on the XML specification.""" codepoint = ord(char) return (0x20 <= codepoint <= 0xD7FF or codepoint in (0x9, 0xA, 0xD) or 0xE000 <= codepoint <= 0xFFFD or 0x10000 <= codepoint <= 0x10FFFF)
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def prescribe_voltage(A, b, coil_rings, voltage, v_ref, J): """Get the voltage coefficients :math:`c_l` with the total voltage prescribed. """ # The currents must equal in all coil rings. for k in range(len(coil_rings) - 1): i = coil_rings[k] i1 = coil_rings[k + 1] A[i][:] = ...
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import argparse def parse_args(args): """ Parse the arguments. """ parser = argparse.ArgumentParser(description='Simple training script for training a RetinaNet network.') subparsers = parser.add_subparsers(help='Arguments for specific dataset types.', dest='dataset_type') subparsers.required ...
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def endtime(x): """Return endtime of intervals x""" try: return x['endtime'] except (KeyError, ValueError, IndexError): return x['time'] + x['length'] * x['dt']
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def get_ceph_rook_cfg(k8s_conf): """ Returns ceph rook enablement choice :return true/false """ if k8s_conf.get('enable_ceph_rook') : return k8s_conf['enable_ceph_rook']
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def DecodeFileRecordSegmentReference(ReferenceNumber): """Decode a file record segment reference, return the (file_record_segment_number, sequence_number) tuple.""" file_record_segment_number = ReferenceNumber & 0xFFFFFFFFFFFF sequence_number = ReferenceNumber >> 48 return (file_record_segment_number,...
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import random def sample_strategy(distrib): """ return the index of a strategy general util used by nature and agent oracle """ strategy_i = random.choices(list(range(len(distrib))), weights=distrib)[0] return strategy_i
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def firstjulian(year): """Calculate the Julian date up until the first of the year.""" return ((146097*(year+4799))//400)-31738
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def sum_non_reds(s): """ Sum all numbers except for those contained in a dict where a value is "red". Parameters ---------- s : int, list, or dict An item to extract numbers from. Returns ------- int The total of all valid numbers. """ if isinstance(s, int): ...
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import typing import struct def read_uint32(stream: typing.BinaryIO) -> int: """Reads a Uint32 from stream""" return struct.unpack("<I", stream.read(4))[0]
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import requests def buscar_avatar(usuario: str) -> str: """ Busca avatar no GitHub Args: usuario (str): usuário no github Return: str com o link do avatar """ url = f'https://api.github.com/users/{usuario}' resp = requests.get(url) return resp.json()['avatar_url']
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import numpy def min_max_scaler(saliency): """Normalize saliency to value 0-1""" maxv = numpy.max(saliency) minv = numpy.min(saliency) if maxv == minv: saliency = numpy.zeros_like(saliency) else: saliency = (saliency - minv) / (maxv - minv) return saliency
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def normalize_cpm(value, total): """Normalize by CPM.""" return value / total * 10**6
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from typing import Callable import inspect def cache(times: int) -> Callable: """Cache decorator which returns func result n times""" cached_values = {} def _cache(func: Callable) -> Callable: def wrapper(*args, **kwargs): bound = inspect.signature(func).bind(*args, **kwargs) ...
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def get_ftp_dir(abspath: str) -> str: """ Returns path within ftp site Parameters ---------- abspath The full ftp url Returns ------- str The relative path within the ftp site Examples -------- >>> abspath = 'ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/901/1...
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def cactus_stats(tools, results, timeout): """re-arrange the data for cactus plot""" ret_results = {} for bench in results.keys(): for tool in results[bench].keys(): if tool not in ret_results.keys(): ret_results[tool] = [] if float(results[bench][tool][0]) <...
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from textwrap import dedent import re def message(source, *args, **kwargs): """ :param source: :param kwargs: :return: """ out = ( dedent(source.format(*args, **kwargs).strip('\n')) .strip() .replace('\t', ' ') .replace('\n', ' ') ) return re.sub(r'\s...
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import requests def ack_alert(host, nagios_api, comment, service=None): """ Acknowledge a problem in Nagios. Specify service AND host if ack --> service. """ headers = { 'Content-type': 'application/json', } if service: payload = { 'host': host, 's...
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def parse_network(dyn_data: dict) -> dict: """ parses out network information from dynamic data dictionary Args: dyn_data: dictionary read from dynamic data Returns: network_dict: dictionary parsing the network information extracted from dyn_data """ if dyn_data == {}: ...
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import torch import math def rotate(origin, point, angle): """ Rotate a point counterclockwise by a given angle around a given origin. The angle should be given in radians. """ if(torch.is_tensor(angle)): N=point.shape[0] angle=angle.reshape(N) po=(point-origin).reshape(N,...
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import argparse def load(): """ Description Define and load the arguments that will be used in the moc_ET.py program. Returns Arguments object. """ parser = argparse.ArgumentParser(description="Extract and Transform data from .owl Ontology, and write data to JSON files", ...
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def make_graph_abcde(node): """ A -> B | | | v +--> C -> D | +--> E """ d = node('D') e = node('E') c = node('C', cd=d) b = node('B', bc=c) a = node('A', ab=b, ac=c, ae=e) return a, b, c, d, e
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import types def isframe(object): """Return true if the object is a frame object. Frame objects provide these attributes: f_back next outer frame object (this frame's caller) f_builtins built-in namespace seen by this frame f_code code object being executed in t...
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def tag_fig_ordinal(tag): """ Meant for finding the position of fig tags with respect to whether they are for a main figure or a child figure """ if "specific-use" not in tag.attrs: # Look for tags with no "specific-use" attribute return ( len( list( ...
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import pathlib def process_path(path, parent, default): """Convert a path to an absolute path based on its current value. Arguments --------- path : PathLike The path to be processed. parent : PathLike The parent path that `path` will be appended to if `path` is a relative path. ...
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def normalize_preferences(choices): """Removes duplicates and drops falsy values from a single preference order.""" new_choices = [] for choice in choices: if choice and (choice not in new_choices): new_choices.append(choice) return new_choices
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def charencode(string): """String.CharCode""" encoded = '' for char in string: encoded = encoded + "," + str(ord(char)) return encoded[1:]
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def vels(speed, turn): """ Function to get current velocity (speed and heading direction) :param speed: linear velocity (m/sec) :param turn: heading direction (radians) :return: typeset string useful for displaying current velocity :rtype: string """ return "currently:\tspeed %s\tturn %...
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def result_field_map(): """Recent pythons have an ordered dictionary, so we can be comfortable with these columns "count turtles": "count_turtles", "[step]": "step", """ return { "[run number]": "run_number", "map-file": "map_file", "People": "people", "person...
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def nl_sanitize_record(record, use_case): """ Sanitize record to avoid translation errors Params: record (str): target record Returns: the sanitized record """ if record: if use_case == 'cervix': record = record.replace('cin ii - iii', 'cin2 cin3') record = record.replace('cin ii-iii', 'cin2 cin3') ...
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import argparse def parse_arguments(): """Parse and return the command line arguments.""" parser = argparse.ArgumentParser() parser.add_argument('filepath', help="Path to the data file.") parser.add_argument('--name', help="File name to save in SharedArray. " "De...
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def check(wants, has): """ Check if a desired scope ``wants`` is part of an available scope ``has``. Returns ``False`` if not, return ``True`` if yes. :example: If a list of scopes such as :: READ = 1 << 1 WRITE = 1 << 2 READ_WRITE = READ | WRITE SCOPES = ( ...
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import torch def bhw_to_onehot_by_scatter_V1(bhw_tensor: torch.Tensor, num_classes: int): """ Args: bhw_tensor: b,h,w num_classes: Returns: b,h,w,num_classes """ assert bhw_tensor.ndim == 3, bhw_tensor.shape assert num_classes > bhw_tensor.max(), torch.unique(bhw_tensor) #...
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from typing import Optional import os def normalize_make_env(envs=os.environ) -> Optional[str]: """normalize the environment variables for make `Make` still attempts to expand environment variables in the Makefile, so we need to redeclare them literally to avoid further expansion See: https://stackov...
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