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# -*- coding: utf-8 -*- from odoo import models, fields, api import odoo.addons.decimal_precision as dp class AccountInvoice(models.Model): _inherit = "account.invoice" lieuEvent_ = fields.Char("Lieu de l'événement") dateEvent_ = fields.Date("Date l'événement") dateMontage_ = fields.Date("Date de monta...
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import logging import torch.nn as nn from nni.nas.pytorch.utils import global_mutable_counting logger = logging.getLogger(__name__) class Mutable(nn.Module): """ Mutable is designed to function as a normal layer, with all necessary o...
""" aka_cnn.py - This code defines a CNN to be used in the MLHEP competitions. It is based on the baseline classifier, but some changes will be made to hopefully make it perform better! Authors: <NAME> Adapted from model.py at https://github.com/yandexdataschool/mlhep-2021-baseline 7/23/21 python3 """ import pytorch_...
#!usr/bin/env python3 # -*- coding: utf-8 -*- """ Given an array of points, find the closest pair. Naive implementation: O(n^2) """ __author__ = '<NAME>' import copy import math from typing import List def find_closest_pair_1d(points: List[float]) -> List[float]: """ Finds the closest pair in the given 1D...
#!/usr/bin/env python # Import libraries import argparse import re import textwrap # Global variables name = "CSV Accumulator" ver = "0.1" sep = "" # Parse command line arguments def parseArgs (): parser = argparse.ArgumentParser( formatter_class = argparse.RawDescriptionHelpFormatter, de...
################################################################################ # Copyright (c) 2021 ContinualAI. # # Copyrights licensed under the MIT License. # # See the accompanying LICENSE file for terms. ...
#!/usr/bin/python # Copyright 2021 Dell Inc. or its subsidiaries. All Rights Reserved # Copyright: (c) 2018, <NAME> <<EMAIL>> # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import (absolute_import, division, print_function) __metaclass__ = type DOCUMENTAT...
from rooms.geography import pointformatting _connected_offsets = [ (-1, -1), (0, -1), (1, -1), (-1, 0), (1, 0), (-1, 1), (0, 1), (1, 1) ] class Point(object): def __init__(self, x, y, point_map=None): self.x = x self.y = y self.position = (x, y) self.point_map = point...
# -*- coding: utf-8 -*- """NOISE ROUTINES This module contains methods for adding and removing noise from data. :Author: <NAME> <<EMAIL>> """ from builtins import zip import numpy as np def add_noise(data, sigma=1.0, noise_type='gauss'): r"""Add noise to data This method adds Gaussian or Poisson noise t...
import math import numpy as np import random import string import copy import cv2 def printMethods(obj): for x in dir(obj): print( x, ':', type(eval("obj."+x)) ) def randomname(n): randlst = [random.choice(string.ascii_letters + string.digits) for i in range(n)] return ''.join(randlst) def str2floats(x): retur...
from collections import Iterable import logging from django.apps import apps from django.db.models.signals import post_save, pre_delete from django.utils.encoding import force_text from django.utils.functional import cached_property from django.utils.module_loading import import_string from django.utils.translation im...
import numpy as np import multiprocessing as mp from sandbox.ex2.parallel_trpo.simple_container import SimpleContainer from sandbox.ex2.utils.replay_buffer import SimpleReplayPool def sample_batch(data, data_size, batch_size): idxs = np.random.randint(data_size, size=batch_size) return data[idxs] class Exempl...
import sys import os import csv import subprocess import json def get_subdirs(item): return os.listdir(item) def equal_sound(out, expected): for item in expected: if not item in out: return False for edge in expected[item]: if not edge in out[item]: retu...
"""Module stores the lgc_vs_lgt function providing a model for NFW conc vs. time """ from collections import OrderedDict from jax import jit as jjit from jax import numpy as jnp CONC_MIN = 2.0 LGC_LOG10_CLIP = jnp.log10(jnp.log10(CONC_MIN)) _X0, _K = 0.0, 0.1 DEFAULT_CONC_PARAMS = OrderedDict( conc_lgtc=0.8, conc...
# Copyright 2021 Adobe. All rights reserved. # This file is licensed to you under the Apache License, Version 2.0 (the "License") # you may not use this file except in compliance with the License. You may obtain a copy # of the License at http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law o...
from typing import Collection, List import numpy as np from glomeruli_segmentation.data_classes import BlendMode, Rect, Tile from glomeruli_segmentation.util import combine_masks square = np.ones((10, 10)) rect1 = Rect(upper_left=(0, 0), width=10, height=10) rect2 = Rect(upper_left=(10, 0), width=10, height=10) rect...
# -*- coding: utf-8 -*- # # Dao-Ke-Dao: Universal Message Module # # Written in 2019 by Moky <<EMAIL>> # # ============================================================================== # MIT License # # Copyright (c) 2019 <NAME> # # Permission is hereby granted, free of charge, to any ...
import numpy as np import pandas as pd from pathlib import Path from datetime import datetime import re from spam_lists import SPAMHAUS_DBL import spf import checkdmarc ''' Reading the raw data file trec07.csv, and preprocessing the data by getting rid of null values and replacing True,False with 0 and 1...
#---Global Variables-----------------------------------------------------------# convert = { "Unit": {"":1} } SI = { "f":10**-15, "p":10**-12, "n":10**-9, "µ":10**-6, "m":10**-3, "c":10**-2, "d":10**-1, "da":10**1, "h":10**2, "k":10**3, "M":10**6, "G":10**9, "T":10**12, "P":10**15 } #---Classes--...
import os import numpy as np import cv2 import matplotlib.pyplot as plt def PLACEHOLDER_FLOW(frames): return np.array( [[[x, y] for x in np.linspace(-1, 1, frames[0].shape[1])] for y in np.linspace(-1, 1, frames[0].shape[0])]) PLACEHOLDER_FLOW_VISUALIZATION = cv2.imread('resources/example_flow_visualiza...
import wave, struct, math # To calculate the WAV file content import numpy as np # To handle matrices from PIL import Image # To open the input image and convert it to grayscale import scipy.ndimage # To resample using nearest neighbour ''' Loads a picture, converts it to greyscale, then to numpy array, normalise...
# -*- coding: utf-8 -*- """navigator testcase""" import os import unittest import json from optparse import OptionParser from appium import webdriver from lib.emulator import ADB from lib.manifest import Manifest from lib.logger import MyLogger from lib.uiaction import UIAction logger = MyLogger(name='NavigatorTest...
import logging import json from io import BytesIO from CANNode import CANNode from types import SimpleNamespace from time import sleep from json.decoder import JSONDecodeError from http.client import HTTPConnection, HTTPException from http.server import BaseHTTPRequestHandler from jsonschema import RefResolver, Draft7V...
# -*- coding: utf-8 -*- import locale import logging from django.conf import settings from django.core.mail import EmailMessage from django.utils import timezone from apps.feedback.models import FeedbackRelation from apps.marks.models import Mark, MarkUser def feedback_mail(): logger = logging.getLogger("feedb...
"""Submodule for handling internal signals.""" from ..config.interface import InterfaceConfig from .mixins import Shaped, Named, Unique, Configured from .interface_options import InterfaceOptions class Internal(Named, Shaped, Unique): """Represents an internal signal.""" def __init__(self, name, shape): ...
from django.shortcuts import render from django.http import HttpResponseRedirect from django.urls import reverse from django.contrib.auth.decorators import login_required from django.shortcuts import render, get_object_or_404 from django.http import HttpResponseRedirect, Http404 from .models import Topic, Entry...
import math import numpy as np def rotate(pt, v1, v2, theta): m = np.zeros((4, 4)) a = v1[0] b = v1[1] c = v1[2] p = ((v2 - v1) / np.linalg.norm(v2 - v1)).reshape(-1) u = p[0] v = p[1] w = p[2] uu = u * u uv = u * v uw = u * w vv = v * v vw = v * w ww = w * w ...
#!/usr/bin/env python import googleapiclient.discovery import argparse import collections import jinja2 import os import os.path import hashlib import docker import time from shutil import copyfile, copymode zones = [] public_ips = {} local_ips = {} client = docker.APIClient(base_url='unix://var/run/docker.sock') epo...
from django.shortcuts import render, get_object_or_404, redirect from django.http import JsonResponse, Http404 from django.views import View from .models import Project, CardType, Field, CardTypeData, Font, Card from .apps import CardsConfig class TemplateView: def __init__(self, request, view_name): te...
__all__ = [ "Logging", "logging", "log_traceback", "critical_error", "log_to_file" ] import os import sys import time import traceback import functools from .common import PLATFORM from .text import indent from .timeutils import format_time try: from colorama import Fore, Style, init init...
import logging import argparse import time import math import torch import torch.nn as nn import os from torch.utils.data import DataLoader from utils.data_loader import load_corpus_data, NMTDataset, collate from utils.tools import (sort_src_sentence_by_length, save_transformer, load_transformer, ...
""" Various utils functions for output analysis """ import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import json, re from pathlib import Path from typing import Tuple from pathlib import Path from data_loader import DataModule from basecaller import Basecaller import utils def create_train_h...
# encoding: utf-8 from __future__ import with_statement import random from whoosh.compat import b, xrange, iteritems from whoosh.filedb.filestore import RamStorage from whoosh.filedb.filetables import HashReader, HashWriter from whoosh.filedb.filetables import OrderedHashWriter, OrderedHashReader from whoosh.util.tes...
import datetime from typing import List from flask import render_template, request, redirect, url_for, abort, flash from .. import db, app from ..handler.session import login_required, get_operator_id, is_auth_in from ..model import PurchaseOrder, PurchaseOrderItem, Book @app.route("/purchase") @login_required def ...
""" Euromy_play: stores Euromillions plays and give summary of wins """ from datetime import date from .euromil import euro_results from .euromil_utils import EuroResult, EuroPlay, EURO_RANKS_NORMAL, EURO_RANKS_STAR_PLUS class Plays: """ Stores plays and is used to validate if plays are wins or looses """ de...
from tkinter import * from tkinter import messagebox import sys, os import json global python global icon appdata = os.getenv('APPDATA') if 'win32' in sys.platform: #change this to a settings file to add the python executeable icon = r'{}/doggobot/icon.ico'.format(appdata) python = 'python' else: icon = r'...
### example code of GIN using pytorch geometrics import torch from torch_geometric.nn import MessagePassing from torch_geometric.nn import global_mean_pool from torch_geometric.data import DataLoader import torch.optim as optim import torch.nn.functional as F from tqdm import tqdm import argparse import time import nu...
import click import csv import json import re import pprint from fuzzywuzzy import fuzz import requests import click import logging import contextlib from pathlib import Path import os log_format = logging.Formatter( "[%(asctime)s][%(filename)s:%(lineno)4s - %(funcName)10s()] %(message)s" ) handler = logging.Strea...
from dataclasses import dataclass, field from enum import Enum from pathlib import Path from fate_of_dice.common.dice import Dice from fate_of_dice.resources.resource_handler import ResourceImageHandler from fate_of_dice.system import DiceResult from .argument_parser import parse, SkillCheckArguments from .skill_dice ...
'''Tools for creating simple configuration setups for libraries that require 3rd-party API/service connectivity and the like Using: First, you'll want to come up with a boilerplate for this configuration. This can either be just a string ``` ### Configuration boilerplate CONFIG_BP = ( nsi.config.base_config('My...
''' Function: 小米商城模拟登录 Author: Charles 微信公众号: Charles的皮卡丘 更新日期: 2022-03-10 ''' import re import time import json import random import hashlib import requests '''PC端登录小米商城''' class mieshopPC(): is_callable = True def __init__(self, **kwargs): for key, value in kwargs.items(): setattr(se...
import math import numpy as np import torch import scipy.ndimage import skimage.measure import PIL def inference_image(net, image, shouldpad=False): """Helper function to inference an PIL image with a net, shouldpad in the case of U-Net""" resized = resize_image(image) resized = np.array(resized) padd...
from googletrans import Translator from .models import CardFolder, MultiCard, Card # from signal import signal # # def _handler(signum, frame): # print("Forever is over!") # raise Exception("end of time") def edit_folder_translate(folder): folder.being_edited = True folder.save() for multicard in...
import curses import time import sys import os import random import threading class MainScreen: def __init__(self, screen): self.screen = screen self.screen.bkgd(" ", curses.color_pair(1)) self.screen.border() screen.addstr(0, 2, "Main Window", curses.color_pair(2)) self.y, ...
"""Provide context managers for use in unit tests.""" import contextlib import os import os.path import sys import tempfile from io import StringIO @contextlib.contextmanager def capture(a_callable, *args, **kwargs): """Capture status, stdout, and stderr from a function or method call""" (orig_stdout, sys.st...
import albumentations as A import numpy as np import cv2 import random #----------------------------- # Transforms during test time #----------------------------- class SSDInputTransform(object): ''' Input: image: numpy.ndarray in uint8 Output: numpy.ndarray in float32 and padding ''' def __init__(...
import math from multiprocessing import Pool import numpy as np import gym.spaces.prng as space_prng from rl_teacher.utils import get_timesteps_per_episode def _slice_path(path, segment_length, start_pos=0): # TODO return var return { k: np.asarray(v[start_pos:(start_pos + segment_length)]) fo...
# Copyright (c) 2022, Vbalder7 # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of conditions and the fol...
""" This is a skeleton file that can serve as a starting point for a Python console script. To run this script uncomment the following lines in the ``[options.entry_points]`` section in ``setup.cfg``:: console_scripts = fibonacci = k8s_annotations_exporter.skeleton:run Then run ``pip install .`` (or ``pi...
""" transfer_transaction ==================== Transfer transaction. License ------- Copyright 2019 NEM Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at ...
from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import (QTimer, QCoreApplication, Qt, qsrand, QTime, QRectF, QPointF, pyqtSignal, QSize) from PyQt5.QtGui import (QBrush, QColor, QPainter, QPixmap, QFont, QPalette) from PyQt5.QtWidgets import (QWidget, QApplication, QGraphicsScene, QGraphicsView, QPushButto...
""" weasyprint.tests.testing_utils ------------------------------ Helpers for tests. """ import contextlib import functools import logging import os.path import sys import threading import wsgiref.simple_server from weasyprint import CSS, HTML, images from weasyprint.css import get_all_computed_styles f...
import os from msgOperations import MSGOperations from subprocess import Popen import utils import psutil import stat NUM_OF_GPUs_PER_NODE = 8 WORKING_DIR = utils.working_dir() def create_working_directory(): work_dir = os.path.exists(WORKING_DIR) if not work_dir: os.mkdir(WORKING_DIR) def create_msg...
# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # Copyright 2018 by AnnealPy Authors, see AUTHORS for more details. # # Distributed under the terms of the BSD 3-Clause license. # # The full license is in the file LICENCE, distributed with this software. # --------...
import sark from oregami.reg_utils import logger, is_func, UsageBits from oregami.reg_insn import RegInstruction from oregami.reg_utils import AskStr, conf, RegName # TODOS: # - if blocks may be consecutive, do only one rename - Done. # - Add functionality to define as type for all references - Done. # - If register ...
''' A warm-start implementation of maximum cardinality bipartite matching via Hopcroft-Karp algorithm warm-start means that it can start from any feasible matching (that is user-provided) references: https://github.com/matejker/network/blob/beb591a570a8fb66d5dc4c4b48d3ff1e4f8e9134/network/algorithms/matching.py htt...
from Keywords import * from Lexer import lexicalize from time import time start = time() class AST: def print_node(Node: list, args): """ print_node | args """ Node.append(["print_node", args]) def let_node(Node: list, name, expr):...
import torch.nn as nn import torch.nn.functional as F from torch.distributions import Laplace import os import torch class noise_Conv2dFunction3(torch.autograd.Function): @staticmethod def forward(ctx, input, noise_std, noise_type): # torch.autograd.set_detect_anomaly(True) input = input.clon...
""" Functions and decorator for classes. """ __all__ = [ "add_to", "default_repr_pretty", "add_parameters_to_doc", "add_kwargs_of", "compute_property", "static_property", "staticproperty", "class_property", "classproperty", "call_method", ] from types import MethodType from cop...
#!/usr/bin/env python # coding: utf-8 from __future__ import unicode_literals from unicodedata import normalize from pandas.compat import PY3, iteritems, u_safe import pandas.core.strings as strings # soundmarks require special handlings _HKANA = 'ァアィイゥウェエォオカキクケコサシスセソタチッツテトナニヌネノハヒフヘホマミムメモャヤュユョヨラリルレロワヲン゙ー・「」。、' _ZA...
import random #Starting Balance global money money = 100 #Introduction print("Welcome to Stevie's Casino!") print("Here are some credits to get you started!") print("Credits: " + str(money)) #Write your game of chance functions here #Coin Toss (Pick "Heads" or "Tails") def coin_toss(call, bet): global money pri...
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
import ast # using ast.literal_eval here for speed. In reality this is dangerous because it could result in execution of arbitrary code (injection) from collections import namedtuple from types import FunctionType Instruction = namedtuple('Instruction','opcode inA inB inC') PuzzleInput = namedtuple('PuzzleInput','sa...
from collections import defaultdict, Counter import numpy as np class ConfusionMatrix(object): def __init__(self, labels, default_label): self.counts = defaultdict(Counter) self.labels = labels self.default_label = default_label @staticmethod def to_table(data, row_labels, column...
from random import random, randint, choice from copy import deepcopy from math import log class fwrapper: """ A wrapper for the functions that will be used on function nodes. Its member variables are name of the function, the function itself, and the number of parameters it takes. """ def __i...
import mcp2515 import spidev import RPi.GPIO as GPIO RX_msg = [] spi= spidev.SpiDev() def reset(): reset_instruction = [0xc0] spi.writebytes(reset_instruction) def readReg(addr): buf_rd = [0x03, addr, 0x55] buf_rd = spi.xfer2(buf_rd) return int(buf_rd[2]) def writeReg(addr, val): buf_wrt =...
from flask import Flask from flask import request import json import requests from database_functions import create_poll_record from database_functions import create_poll_result_record from database_functions import cancel_poll_record def read_config(): """ Read the config.json file and populate global variab...
# Copyright 2020 pydicom authors. See LICENSE file for details. """Pydicom command line interface program Each subcommand is a module within pydicom.cli, which defines an add_subparser(subparsers) function to set argparse attributes, and calls set_defaults(func=callback_function) """ import argparse import sys impor...
''' Copyright (C) 2019-2021, <NAME> <<EMAIL>> Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, ...
# Copyright 2018 Google Inc. # Copyright 2019 Yelp # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agre...
# Copyright (c) 2019 Uber Technologies, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...
from autofit.tools import fit from autolens import exc from autolens.lens.util import lens_fit_stack_util as stack_util from autolens.lens import ray_tracing def fit_lens_image_stack_with_tracer(lens_data_stack, tracer, padded_tracer=None): """Fit a lens image with a model tracer, automatically determining the ty...
from pathlib import Path import os import pickle import numpy as np from tqdm import tqdm def load_pcd_as_nparray(pcd_file): points = [] with open(pcd_file, 'r') as f: lines = f.readlines() for line in lines[11:]: point = line.split() points.append(point) return np.asarray(poi...
import xmatters.utils import xmatters.connection import xmatters.objects.common class GroupReference(xmatters.connection.ApiBase): def __init__(self, parent, data): super(GroupReference, self).__init__(parent, data) self.id = data.get('id') #: :vartype: str self.target_name = data.get('...
# statOT core # Author: <NAME> (<EMAIL>) import numpy as np import pandas as pd from numpy import linalg import ot import copy def statot(x, C = None, eps = None, method = "ent", g = None, dt = None, maxiter = 5000, tol = 1e-9, verbose = False): """Fit statOT model :pa...
""" utilities to extract features from SavedModel and save it in a pickle file """ import csv import pickle import argparse from collections import defaultdict import tensorflow as tf import numpy as np import pandas as pd class ReadImage: """ class to read the images for inference """ def __init__(self...
#!/usr/bin/env python # -*- coding:utf-8 -*- # @Filename: _LocalSets.py # @Author: <NAME> # @Time: 18/3/22 11:14 # @Version: 3.0 import sys import numpy as np import pandas as pd from sklearn.metrics import pairwise_distances class LocalSets: """ <NAME>., <NAME>., & <NAME>. (2015). Three n...
# Dependencies: # portpicker (pip install portpicker) # tcmalloc4 (sudo apt-get install google-perftools) # TF 0.12 # # # Benchmarks on Xeon E5-2630 v3 @ 2.40GHz # # export LD_PRELOAD=/usr/lib/libtcmalloc.so.4 # python benchmark_grpc_recv.py --data_mb=128 # Local rate: 15214.63 MB/s # Distributed rate: 569.27 MB/...
''' Import csv files that contain information on the constants required by HGC. This will be transformed to a pickle file with the same information in a dict of named tuples ''' from collections import namedtuple from pathlib import Path import cloudpickle as pickle import pandas as pd from pyparsing import Gr...
import os import copy import openpyxl from pathlib import Path from itertools import combinations from simpleai.search import ( CspProblem, backtrack, HIGHEST_DEGREE_VARIABLE, MOST_CONSTRAINED_VARIABLE, LEAST_CONSTRAINING_VALUE, ) HEAD_COUNSELORS = {'Brodi','Ceci','Ignacio','Jocelyn','John','Lily'...
import pytest import subprocess @pytest.mark.parametrize('sep', ['-', '+']) def test_list_keybinds(hlwm, sep): # single key, 1-word command: hlwm.call(f'keybind x quit') # 2 modifiers, 3-word command: hlwm.call(f'keybind Mod1{sep}Shift{sep}a resize left +5') keybinds = hlwm.call('list_keybinds') ...
# -*- coding: utf-8 -*- import re from flask import request, redirect, url_for, abort, render_template, flash, \ current_app from einfachjabber.utils import * from einfachjabber.apps.mainsite import mainsite from einfachjabber.models import OSList, TutorialDoc @mainsite.route('/') def start(): pagetitle =...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Data Container: abstract classes """ from __future__ import ( print_function, division, absolute_import, unicode_literals) from six.moves import xrange # ============================================================================= # Imports # ========...
# Intended to be invoked from cmake - don't run directly. import os import pathlib import setuptools import setuptools.command.build_ext import setuptools.command.build_py import shutil import subprocess import sys MODE = None curpath = pathlib.Path(os.path.dirname(os.path.realpath(__file__))) os.chdir(curpath) lib...
# -*- coding: utf-8 -*- # # Copyright 2018-2021 - Swiss Data Science Center (SDSC) # A partnership between École Polytechnique Fédérale de Lausanne (EPFL) and # Eidgenössische Technische Hochschule Zürich (ETHZ). # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in c...
"""Test :class:`qibo.abstractions.gates.M` when used with registers.""" import pytest import numpy as np from qibo import K, models, gates def assert_dicts_equal(d1, d2): assert d1.keys() == d2.keys() for k, v in d1.items(): if isinstance(v, dict): assert v == d2[k] else: ...
from dataclasses import dataclass from datetime import datetime from math import isinf from typing import Dict, List from slack_sdk import WebClient from pytz import UTC from hunter.data_selector import DataSelector from hunter.series import ChangePointGroup, AnalyzedSeries @dataclass class NotificationError(Except...
# -*- coding: utf-8 -*- # # # Project name: OpenVAS2Report: A set of tools to manager OpenVAS XML report files. # Project URL: https://github.com/cr0hn/openvas_to_report # # Copyright (c) 2015, cr0hn<-AT->cr0hn.com # All rights reserved. # # Redistribution and use in source and binary forms, with or without modificatio...
# -*- coding: utf-8 -*- import unittest import os from io import StringIO, BytesIO import h5py from ribopy import Ribo from ribopy import create from ribopy.merge import merge_ribos from ribopy.settings import * from ribopy.core.exceptions import * from ribopy.rnaseq import set_rnaseq, get_rnaseq import sys test_dir...
""" @author: <NAME> @copyright: Copyright 2019, dialogue-generation @license: MIT @email: <EMAIL> @date: 2019.04.04. """ # pylint: disable=no-member # pylint: disable=not-callable import os import torch import random from torch.nn.modules import ( ModuleList, Module) from torch.nn import ( Lin...
# Copyright 2004 <NAME>, 2006 <NAME>, <NAME> # Distributed under the Boost Software License, Version 1.0. (See # accompanying file LICENSE_1_0.txt or copy at # http://www.boost.org/LICENSE_1_0.txt) """defines class that will print in a user friendly format declarations tree and declarations Py++ configuration in...
import math, pyglet, inktilities import random from pyglet.window import key, mouse ###### RESSOURCES ###### pyglet.resource.path = ['./resources/img'] pyglet.resource.reindex() pen_image = pyglet.resource.image('pen.png') ink_image = pyglet.resource.image('ink.png') splatter_image = pyglet.resource.image('splatter....
#coding:utf8 import os import time import datetime import sys import glob from pprint import pprint from google.cloud import storage from google.cloud import speech_v1 from google.cloud.speech_v1 import enums # 変数設定 ## GCSのバケット名を指定 bucketName = '<バケット名を記入してください>' ## https://cloud.google.com/speech-to-text/docs/languag...
# code was heavily based on https://github.com/TachibanaYoshino/AnimeGANv2 # Users should be careful about adopting these functions in any commercial matters. # https://github.com/TachibanaYoshino/AnimeGANv2#license import paddle import paddle.nn as nn import paddle.nn.functional as F from .builder import GENERATORS ...
import numpy as np import os import scipy.misc def crop_image(image_in, image_ref, rotation, bounding_box, padding=0.15, jitter=0.15, flip=True, image_size=224): # based on https://github.com/shubhtuls/drc/blob/master/utils/cropUtils.lua left, top, width_box, height_box = bounding_box height_image, width...
from __future__ import print_function import math import sys from IPython import display from matplotlib import cm from matplotlib import gridspec from matplotlib import pyplot as plt import numpy as np import pandas as pd from sklearn import metrics import tensorflow as tf from tensorflow.python.data import...
# Copyright 2020 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...
#!/usr/bin/python # (c) 2021, NetApp, Inc # GNU General Public License v3.0+ # (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import absolute_import, division, print_function __metaclass__ = type DOCUMENTATION = ''' module: na_ontap_snaplock_clock short_description: NetApp ONTAP Sets the...
from random import randint from django.contrib.auth import get_user_model from django.shortcuts import get_object_or_404 from django.utils import timezone from rest_framework import generics, permissions, status, mixins, serializers from rest_framework.authtoken.models import Token from rest_framework.compat import au...
from collections import OrderedDict from common.serializers.msgpack_serializer import MsgPackSerializer serializer = MsgPackSerializer() def check(value): assert value == serializer.deserialize(serializer.serialize(value)) def test_serialize_int(): check(1) check(111324324324324) check(-1) che...