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from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import warnings from distutils.version import LooseVersion from .pycompat import OrderedDict, zip, dask_array_type from .common import full_like from .combine import concat from .ops import (...
# ========================================================================= # (c) Copyright 2019 # All rights reserved # Programs written by <NAME> # Department of Computer Science # New Jersey Institute of Technology # University Heights, Newark, NJ 07102, USA # # Permission to use, copy, modify, and dis...
# ###################################################################### # Copyright (c) 2014, Brookhaven Science Associates, Brookhaven # # National Laboratory. All rights reserved. # # # # Redistribution and use in ...
# code was taken from here: # https://github.com/pkucmus/micropython-pms7003/ # # MIT License # # Copyright (c) 2018 <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restricti...
import sys import os import json from os import path, mkdir, listdir, rename, environ, rmdir class OrganiseDesktop(): """ Contains desktop organisation helper functions """ extensions = {} separator = '/' desktopdir = '' Alldesktopdir = None def __init__(self, extensions): ...
#!/usr/bin/env python3 """Classifier-free guidance sampling from a diffusion model.""" import argparse from pathlib import Path from PIL import Image import torch from torch import nn from torch.nn import functional as F from torchvision import transforms from torchvision.transforms import functional as TF from tqdm...
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 ...
""" Working with PSID in python @author : <NAME> <<EMAIL>> @date : 2015-02-04 09:02:56 use the read_csv option `usecols` to only keep what we need """ import re import os import gc import os.path import zipfile import requests import lxml.html import numpy as np import pandas as pd # ----------- # # Downloading ...
# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # 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 applica...
# Copyright 2015-2016 Stanford University # # 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 ...
# Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Utility file for pretty printing xml file. The function PrettyPrintXml will be used for formatting both histograms.xml and actions.xml. """ import sys i...
# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import logging import os import random import time from types import SimpleNamespace import numpy as np import torch import torch.nn.function...
import time import pytest from helpers.cluster import ClickHouseCluster from helpers.test_tools import TSV cluster = ClickHouseCluster(__file__) zero = cluster.add_instance("zero", user_configs=["configs/users.d/settings.xml"], macros={"cluster": "anime", "shard": "0", "replica": "zero"},...
# -*- coding: utf-8 -*- from typing import Dict, Any, Callable, Union, Tuple import os import logging import click import colorclass from .exceptions import NotCallableError logger = logging.getLogger(__name__) def _return_input(value: Any) -> Any: """Helper to return the input. This can be used as a valid c...
import os import sys sys.path.append('..') from beepose.utils.util import NumpyEncoder, rotate_bound2,distance_point,distance_line_point, read_json,save_json, dets2boxes,boxes2dets,non_max_suppression_slow import tensorflow as tf import numpy as np import matplotlib.pyplot as plt import json import glob,os import pyl...
#!/usr/bin/python # -*- coding: utf-8 -*- # Copyright: (c) 2020, <NAME> <<EMAIL>> # Copyright: (c) 2017, <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 DOCUMENTATION =...
#!/usr/bin/python3 import operator import sys, os import json sys.path.append(os.getcwd()) sys.path.append("..") import log import log.logger import traceback import datetime import sqlalchemy import stmanage import requests import comm import comm.error import comm.result import comm.values from comm.result import res...
import os import subprocess import sys import time from concurrent.futures.process import ProcessPoolExecutor from pathlib import Path import click import networkx as nx from tqdm import tqdm from pipeline.dag import Scheduler from pipeline.exceptions import TaskError from pipeline.hashing import compare_hashes_of_ta...
import sys,os,pickle,argparse import numpy as np from models import * from sklearn.model_selection import KFold #deprecated #from sklearn.cross_validation import KFold from scrape import * import argparse from torch.multiprocessing import Pool from random import shuffle def fit(X,Y,model,criterion= nn.NLLLoss(),epochs...
import itertools import numpy as np import torch from torchvision.utils import make_grid import plac from pathlib import Path from .data.loader import encode_batch_of_pairs, load_processed_train_batch from .utils.plot import plt, cm, sns from .utils.loading import load_model_skeleton CMAPS = { "velocity": cm.vi...
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved from dataclasses import dataclass, field from enum import Enum from typing import Any, Dict, List, Optional import cloudpickle # type: ignore import hydra import omegaconf import pkg_resources import ray from hydra.core.config_store import ConfigS...
import random class Adventurer: """ The adventurer has a finite carry capacity. They cannot carry more than their carry_weight. They also contain a coin_purse to keep all of their different coins that sum up to a total value. """ def __init__(self, carry_weight): self.carry_weight = car...
import csv import json import time import itertools from datetime import timedelta from django import http from django.core.exceptions import PermissionDenied from django.core.files.storage import get_storage_class from django.db.transaction import non_atomic_requests from django.utils.cache import add_never_cache_he...
import datetime import json import threading import uuid from collections import defaultdict from copy import deepcopy from dictdiffer import diff from inspect import signature from threading import Lock from pathlib import Path from tzlocal import get_localzone from .logger import logger from .settings import CACHE_...
import attr import datetime from ._abc import ThreadABC from . import _user from .._common import attrs_default from .. import _util, _session, _graphql, _models from typing import Sequence, Iterable, Set, Mapping @attrs_default class Group(ThreadABC): """Represents a Facebook group. Implements `ThreadABC`. ...
import csv import copy import json import logging import random from collections import defaultdict import torch from torch.nn.utils.rnn import pad_sequence MAX_CONTEXT_LEN = 50 logger = logging.getLogger(__name__) def pad_squeeze_sequence(sequence, *args, **kwargs): """Squeezes fake batch dimension added by...
# Flexbuffer decoder in python import struct from typing import Any, List, Optional from enum import IntEnum # # Some constants from flexbuffer.h # # These are used in the lower 2 bits of a type field to determine the size of # the elements (and or size field) of the item pointed to (e.g. vector). class BitWidth(Int...
"""Application logic for the SMS credit transfer service. Copyright (c) 2016-present, Facebook, Inc. All rights reserved. This source code is licensed under the BSD-style license found in the LICENSE file in the root directory of this source tree. An additional grant of patent rights can be found in the PATENTS file ...
from torch.utils.data import SequentialSampler, DataLoader from tqdm import tqdm from seqeval.metrics import f1_score, classification_report import torch import torch.nn.functional as F def parseLabels(string): return string.split(",") def str2bool(v): if isinstance(v, bool): return v if v.lower(...
import functools from math import log2, ceil import torch import torch.nn as nn from torch.autograd import Function from torch.nn import functional as F import numpy as np from .switch_norm import SwitchNorm1d, SwitchNorm2d, SwitchNorm3d ###############################################################################...
""" Encapsulates the functionality for representing and operating on the chess environment. """ import copy import enum from logging import getLogger import chess.pgn import numpy as np logger = getLogger(__name__) # noinspection PyArgumentList Winner = enum.Enum("Winner", "black white draw") # input planes # noins...
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors # MIT License. See license.txt from __future__ import unicode_literals def get_jenv(): import frappe if not getattr(frappe.local, 'jenv', None): from jinja2 import Environment, DebugUndefined # frappe will be loaded last, so app templates wil...
""" User Interface part of nuqql """ import curses import curses.ascii import datetime import logging from typing import TYPE_CHECKING, Any, Callable, Optional import nuqql.config import nuqql.conversation if TYPE_CHECKING: # pylint: disable=cyclic-import from nuqql.buddy import Buddy # noqa logger = logg...
"""The routes accepted by the RESTful API This is the module that contains the routes accepted by the API. the app's cache and configuration. Also, it includes the clients used by other modules like the database client and the storage client. Generally, this includes all the global (shared) objects (Singleton pattern...
# To gradually migrate to mypy we aren't setting these globally yet # mypy: disallow_untyped_defs=True # mypy: disallow_untyped_calls=True import argparse import code import collections import logging import sys import curtsies import curtsies.events import curtsies.input import curtsies.window from . import args as...
"""Xiaomi aqara magic cube device.""" import logging from zigpy.profiles import zha from zigpy.zcl.clusters.general import ( AnalogInput, Groups, Identify, MultistateInput, Ota, Scenes, ) from .. import LUMI, BasicCluster, PowerConfigurationCluster, XiaomiCustomDevice from ... import CustomClu...
# Copyright (c) 2009, 2010, 2011 Nicira, 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 agre...
""" A module to handle metrics """ import copy import json import numbers from functools import partial from typing import Any, Dict import numpy as np from utils import pairwise def format_time(seconds): """ Format time in h:mm:ss.ss format """ hour = 60 * 60 hours = int(seconds // hour) minutes = ...
#!/usr/bin/env python3 import os import pathlib import shutil import subprocess import zipfile from typing import Tuple import PIL.Image import PIL.ImageFile import PIL.ImageFilter import eyed3 import rarfile from apefind.util import script log = script.get_logger() def parse_args(args=None, namespace=None): ...
#!/usr/bin/python # Copyright 2017 the V8 project authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import argparse import math import multiprocessing import os import random import subprocess import sys import tempfile # Configuration....
import os import re import textwrap from pathlib import Path import moderngl import numpy as np from .. import config from ..utils import opengl from ..utils.simple_functions import get_parameters SHADER_FOLDER = Path(__file__).parent / "shaders" shader_program_cache: dict = {} file_path_to_code_map: dict = {} __al...
#! /usr/bin/python3 import argparse import logging def d(x1, y1, x2, y2): """Manhattan distance between (x1,y1) and (x2,y2)""" return abs(x2 - x1) + abs(y2 - y1) class Score(object): def __init__(self): self.raw_score = 0 self.bonus_score = 0 # points obtained from bonus self.t...
import pandas as pd import numpy as np import matplotlib.pyplot as plt from empiricaldist import Pmf from scipy.stats import gaussian_kde from scipy.stats import binom from scipy.stats import gamma from scipy.stats import poisson def values(series): """Make a series of values and the number of times they appear...
""" buzzword explorer: helpers and utilities """ import json import os from django.conf import settings import pandas as pd from buzz.constants import SHORT_TO_COL_NAME, SHORT_TO_LONG_NAME from buzz.corpus import Corpus from explore.models import Corpus as CorpusModel from compare.models import PDF from .strings imp...
# Copyright 2019 TerraPower, LLC # # 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 writi...
# Script này xử lý dữ liệu địa chỉ trong file "address_thongtincongty_toan-quoc.csv" # Dữ liệu địa chỉ sẽ phân ra các trường thôn xóm đường, phường xã, quận huyện, tỉnh tp import os from collections import defaultdict data_path = os.path.join(os.path.dirname(__file__), '../data') def get_provinces_districts_wards(): ...
from collections import Counter from copy import copy import json import numpy as np import re import logging from stanza.models.common.utils import ud_scores, harmonic_mean from stanza.utils.conll import CoNLL from stanza.models.common.doc import * logger = logging.getLogger('stanza') def load_mwt_dict(filename): ...
""" Function to create the Rocket The rocket_builder.py file contains the build function to build the Rocket. Moreover, it contains the preprocess and postprocess functions that will be added to the model. """ from __future__ import division import json import types import os import cv2 import numpy as np import PIL ...
# coding=utf-8 # Copyright 2022 The Google Research Authors. # # 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 applicab...
import sys, os sys.path.append(os.path.join(os.path.dirname(__file__), '..')) import argparse, glob, json import matplotlib.pyplot as plt import numpy as np from matplotlib.offsetbox import * from matplotlib.patches import * from PIL import Image def load_results(path): res = [] skip_count = 0...
# -*- coding: utf-8 -*- # # # module for calculating geometry parameters and magnetic aspect # angle of radar targets monitored by KAIRA VHF at Kilpisjärvi - Finland. # # use aspect_elaz or aspect_txty to calculate aspect angles of targets # specified by (el,az) or (tx,ty) angles # # Created by <NAME> on 11/29/08. # ...
""" This file creates a GUI that provides a front-end for the MatPy program. """ """Ignores all warnings (Remove this to debug)""" import warnings warnings.filterwarnings("ignore") """Tkinter for GUI""" import Tkinter as tk from Tkinter import Entry import tkFileDialog from Tkinter import N, S, E, W """Library for g...
from parlaparser import settings from parlaparser.utils.parladata_api import ParladataApi from collections import defaultdict from datetime import datetime import logging import editdistance class NoneError(Exception): pass class DataStorage(object): people = {} organizations = {} votes = {} m...
""" Module with utilities Author: <NAME> Email: <EMAIL> """ from ..tools import geometry import os import shutil import subprocess import contextlib import numpy as np from rdkit import Chem from rdkit.Chem import AllChem import re import logging logger = logging.getLogger(__name__) def translateToceroZcoord(mo...
# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright (C) 2011 <NAME> # Copyright (C) 2011 Nicira, Inc # Copyright 2011 OpenStack LLC. # All Rights Reserved. # # 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 # ...
import operator VALID_STYLES = ['JACoW_Abstract_Heading', 'JACoW_Author List', 'JACoW_Body Text Indent', 'JACoW_Bulleted List', 'JACoW_Numbered list', 'JACoW_Paper Title', 'JACoW_Reference #10 onwards', 'JA...
# This script produces custom wrappers for XGBoost and Lasagne modules (to generate sklearn-like interface) # The implementation of Lasagne (with some custom adjustments) is adapted from <NAME>'s solution # to Kaggle's Otto Product Classification Challenge which can be found here https://github.com/ahara/kaggle_otto #...
"""Environment wrapper class for logging episodes. This can be used to record data from a subject playing the task. See ../../moog_demos/restore_logged_data.py for an example of how to read log files. Note: This logger records everything about the environment, which can be a lot of data (depending on the task). If yo...
import torch import torch.nn as nn from torch.distributions.logistic_normal import LogisticNormal from models.base_model import BaseModel from models.input_encoders import get_input_encoder import utils as u class ConvolutionalVAE(BaseModel): def __init__( self, input_width, input_height, ...
# -*- coding: utf-8 -*- """ Created on Fri Aug 07 11:51:55 2015 @author: agirard """ import numpy as np import matplotlib import matplotlib.pyplot as plt # Embed font type in PDF matplotlib.rcParams['pdf.fonttype'] = 42 matplotlib.rcParams['ps.fonttype'] = 42 ##############################################...
#!/usr/bin/python3 # Importing modules print("[PROGRAM] Importing modules...") import subprocess import sys import os import platform import json import stat import time from multiprocessing import Process # These variables are used to see what libraries are or aren't installed cv2_error = False pygui_error = False ...
import sys import os import numpy as np import cv2 import torch from model import * from scipy.ndimage.filters import gaussian_filter from loss import kldiv, cc, nss import argparse from torch.utils.data import DataLoader from dataloader import DHF1KDataset from utils import * import time from tqdm import tqdm from to...
#!/usr/bin/env python # -*- coding: utf-8; mode: python; -*- """Module providing access to third party resources. Attributes: LCSI (dict): mapping from verb to a set of classes BROWN_CLUSTERS (dict): mapping from word to a set of Brown clusters CONNS (set): set of explcit connectives CONNTOK2CONN (defaul...
import numpy as np import pandas as pd import optuna import sklearn.ensemble as ensemble import sklearn.metrics as metrics from sklearn.model_selection import train_test_split from itertools import chain int_dtype_list = ['int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'uint64'] float...
""" PyPackGen Main Module """ import os import jinja2 def create_readme(package_name): """Creates the README.md for the package """ template_contents = '''# {{ package_name }} ## Overview The {{ package_name }} does this. Fill this part out to give more information about what it is supposed to do. ##...
#!/usr/bin/python2.5 # Copyright (C) 2010 Google 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 la...
# # agent/adapters/aigents/__init__.py - adapter integrating different sub-services of Aigents web service, # such as RSS feeding, social graph discovery, summarizing text extraction by pattern and entity attribution # # Copyright (c) 2017 SingularityNET # # Distributed under the MIT software license, see LICENSE file....
from rest_framework.permissions import AllowAny from rest_framework.response import Response from rest_framework.views import APIView from rest_framework_swagger import renderers from rest_framework.schemas import SchemaGenerator from urllib.parse import urljoin import yaml import coreapi from rest_framework.decorato...
# Lint as: python3 # Copyright 2020 The TensorFlow Probability Authors. # # 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 ...
from datetime import timedelta import sys import pytest try: import shapely import shapely.geometry SHAPELY_TYPES = ( shapely.geometry.GeometryCollection, shapely.geometry.LineString, shapely.geometry.LinearRing, shapely.geometry.MultiPolygon, shapely.geometry.Poin...
""" app.py A simple WebRTC Call control server that shows the basics of getting a video call up and running between a browser and an outbound PSTN call @copyright Bandwidth INC """ import configparser import json from bandwidth.bandwidth_client import BandwidthClient from bandwidth.exceptions.api_exception import ...
# ------------------------------------------------------------------------------ # Copyright (c) Microsoft # Licensed under the MIT License. # Some code is from https://github.com/princeton-vl/pose-ae-train/blob/454d4ba113bbb9775d4dc259ef5e6c07c2ceed54/utils/group.py # Written by <NAME> (<EMAIL>) # Modified by <NAME> (...
# Author: <NAME> # See the LICENSE file for legal information regarding use of this file. """Classes for reading/writing binary data (such as TLS records).""" from __future__ import division import sys import struct from struct import pack from .compat import bytes_to_int class DecodeError(SyntaxError): """Exc...
#@title 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 to in writing, software # distributed under...
# Copyright 2018 The TensorFlow Probability Authors. # # 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 o...
import json import requests # Auth data customer_token = None api_token = None # Account info customer_tokens = None retention = None subdomain = None volume_limit = None # Exception related stuff class LogglyError(Exception): ''' Base exception with no function outside of identifying the error as one from ...
#from Python import time import csv import os import math import numpy as np import sys from shutil import copyfile #from Pytorch import torch import torchvision import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from torchvision import datasets from torchvision import transforms...
# coding=utf-8 # pynput # Copyright (C) 2015-2017 <NAME> # # This program is free software: you can redistribute it and/or modify it under # the terms of the GNU Lesser General Public License as published by the Free # Software Foundation, either version 3 of the License, or (at your option) any # later version. # # Th...
# -*- coding:utf-8 -*- from __future__ import division import os import pty import time from collections import defaultdict from contextlib import contextmanager from subprocess import PIPE, Popen, call from threading import Lock, Thread from django.db import DEFAULT_DB_ALIAS, connections from django.utils import six...
""" CPC V2 ====== """ import math from argparse import ArgumentParser from typing import Optional import torch from pytorch_lightning import LightningModule, Trainer, seed_everything from pytorch_lightning.utilities import rank_zero_warn from torch import optim as optim from pl_bolts.datamodules.stl10_datamodule impo...
import itertools as it import logging import queue import socket import warnings from typing import BinaryIO, Dict, List, Tuple from ._base_connection import BaseBrokerConnection from .protocol.constants import ApiKey from .protocol.request import Request, Response from .protocol.serializers import SUPPORTED_API_VERSI...
# MODULE: TypeRig / Core / Point (Object) # ----------------------------------------------------------- # (C) <NAME>, 2017-2021 (http://www.kateliev.com) # (C) Karandash Type Foundry (http://www.karandash.eu) #------------------------------------------------------------ # www.typerig.com # No warranties. By using t...
#!/usr/bin/env python3 from enum import Enum from typing import Any, Tuple, Union import numpy as np import torch from torch import Tensor from captum.log import log_usage from ..._utils.common import ( ExpansionTypes, _expand_additional_forward_args, _expand_target, _format_additional_forward_args, ...
# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. # -------------------------------------------------------------------------- from onnxruntime.capi.onnxruntime_inference_collection import OrtValue f...
import numpy as np from collections import defaultdict import random import os ''' code book: circle: 0 rect: 1 tri: 2 ellipse: 3 star: 4 loop: 5 red: 6 green: 7 blue: 8 yellow: 9 cyan: 10 magenta: 11 large: 12 small: 13 upper_left: 14 upper_right: 15 lower_left: 16 lower_right: 17 ''' def get_combination(samples, ...
import pandas as pd import numpy as np import geopandas as gpd import math import pyproj from math import sqrt from shapely.geometry import LineString, Point, Polygon, mapping from shapely.ops import unary_union, transform, nearest_points from shapely.affinity import scale from functools import partial pd.set_option("...
from __future__ import print_function from scipy.interpolate import interp1d import numpy as np import math from aeropy.airfoil_module import CST def taper_function(eta, shape = 'linear', points = {'eta':[0,1], 'chord':[1,.7]}): """Calculate chord along span of the wing. - If linear, taper function...
from datetime import timedelta import numpy as np import pytest import pandas as pd from pandas import ( DataFrame, Series, ) import pandas._testing as tm from pandas.core.indexes.timedeltas import timedelta_range def test_asfreq_bug(): df = DataFrame(data=[1, 3], index=[timedelta(), time...
# coding:utf-8 import os from app.common.get_pressed_pos import getPressedPos from app.common.model_utils import testModel from PyQt5.QtCore import QFile, QPoint, Qt, pyqtSignal from PyQt5.QtGui import (QBrush, QColor, QFont, QFontMetrics, QMouseEvent, QPainter, QPen, QPixmap, QPolygon) from P...
import asyncio import os import signal import time from dataclasses import dataclass, field from typing import Any, List, Optional import gevent import gevent.util import structlog from gevent._tracer import GreenletTracer from gevent.hub import Hub from raiden.exceptions import RaidenUnrecoverableError LIBEV_LOW_PR...
# import the necessary packages #from picamera.array import PiRGBArray #from picamera import PiCamera import time import math import datetime import cv2 # place a prompt on the displayed image def prompt_on_image(txt): global image cv2.putText(image, txt, (10, 35), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 25...
# kalo gak tau cara gunain nya gak usah pake ya asw # kalo ada yang error fix sendiri aja :v # only marshal or zlib base64 from https://github.com/Dumai-991/ #open scored import os import re import sys try: import uncompyle6 except: os.system("python -m pip install uncompyle6") ########################################...
import torch from torchvision import transforms from PIL import ImageFile ImageFile.LOAD_TRUNCATED_IMAGES = True from utils.utils import * import json import cv2 import copy import numpy as np import os from tool.darknet2pytorch import * from tqdm import tqdm from skimage import measure from argparse import ArgumentPa...
''' Functions relating to HDR mode ''' import numpy as np import astropy.units as u import astropy.constants as cr from astropy.modeling.blackbody import FLAM from astropy.convolution import convolve_fft, Gaussian2DKernel # Set telescope details epd = 75 * u.cm area = np.pi * (0.5*epd)**2 reflectivity = 0.9 mirrors = ...
import argparse import collections import os import os.path import re import sys INDENT = 2 LINE_WRAP_CHARS = ', ' NON_NAME_PATTERN = re.compile(r'[^A-Za-z0-9_]') SCALE_SIZE_PATTERN = re.compile(r'@[0-9]+') Entry = collections.namedtuple('Entry', ['name', 'data', 'cname']) STRUCT_DECL = '''struct {0} {{ {1}{0}(const c...
from datetime import timedelta from functools import partial from uuid import uuid4 from django.conf import settings from django.contrib.auth.models import AbstractUser from django.contrib.auth.models import UserManager as DjangoUserManager from django.db import models, transaction from django.db.models import F, Q fr...
# -*- coding: utf-8 -*- ################################################################################ # Copyright (c) 2017 McAfee Inc. - All Rights Reserved. ################################################################################ from __future__ import absolute_import import logging from dxlclient import R...
# 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...
""" utilities for model management in tf/keras """ # python imports import itertools from tempfile import NamedTemporaryFile # third party imports import numpy as np from tqdm import tqdm_notebook as tqdm import tensorflow as tf from tensorflow import keras import tensorflow.keras.backend as K import tensorflow.keras...
#!/usr/bin/env python # coding: utf-8 # In[1]: #CARD #SUIT,RANK,VALUE #Creating a value of dictionaries import random suits = ('Hearts', 'Diamonds', 'Spades', 'Clubs') ranks = ('Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Ten', 'Jack', 'Queen', 'King', 'Ace') values = {'Two':2, 'Three':3, 'Four'...