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#!/usr/bin/env python3
# coding: utf-8
# MIT License © https://github.com/scherma
# contact http_<EMAIL>4<EMAIL>
import logging, os, configparser, libvirt, json, arrow, pyvnc, shutil, time, victimfiles, glob, websockify, multiprocessing, signal
import tempfile, evtx_dates, db_calls, psycopg2, psycopg2.extras, sys, pca... |
# (C) Copyright 2017- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
#
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernme... |
#!/usr/bin/env python3
"""pdoc's CLI interface and helper functions."""
import argparse
import ast
import importlib
import inspect
import os
import os.path as path
import json
import re
import sys
import warnings
from contextlib import contextmanager
from functools import lru_cache
from http.server import BaseHTTPRequ... |
from flask import Flask, render_template, flash, abort, redirect, url_for, request
import os
import common
import json
import numbers
import urllib.parse
import pandas as pd
from datetime import datetime
from math import log10, floor
base_dir = '/home/nick/Data/_ensembles'
app = Flask(__name__)
app.config['ENV'] = 'de... |
from collections import deque
import numpy as np
import os
from abc import ABCMeta, abstractmethod
import random
random.seed(42)
from common import config, VehicleState
from helper import Helper
INFO = """Average merging time: {} s
Traffic flow: {} vehicle/s
Average speed: {} km/h
Average fuel consumptio... |
import os
import time
import random
import scipy.sparse as sp
import numpy as np
import tensorflow as tf
import argparse
from models import SpHGAT
from utils import process
parser = argparse.ArgumentParser()
parser.add_argument('--dataset', help='Dataset.', default='imdb', type=str)
parser.add_argument('--epochs', he... |
# Copyright 2021 The ML Collections 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 or agreed... |
# coding: utf-8
import wx
import wx.lib.sized_controls as sc
from dataclasses import dataclass
from functools import partial
from wx.adv import CommandLinkButton
from bookworm import app
from bookworm import config
from bookworm import typehints as t
from bookworm.i18n import LocaleInfo
from bookworm.concurrency impor... |
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from .... import extensions as E
from . import accuracy as A
logger = logging.getLogger('global')
def _reduce(loss, reduction, **kwargs):
if reduction == 'none':
ret = loss
elif reduction == 'mean':
normalizer... |
"""
This module provides classes that support observers, smart value handling and debug functions
All changes to values nominate an agent, and observers nominate the agent making changes they
are interested in.
It supercedes the pvars module
"""
import logging, sys, threading, pathlib, math, json
from enum import Enu... |
#!venv/bin/python
# coding=UTF-8
# -*- coding: UTF-8 -*-
# vim: set fileencoding=UTF-8 :
"""
Double-deck bid euchre
Implementation is similar to the rules given by <NAME>
https://www.pagat.com/euchre/bideuch.html
Notable differences (to match how I learned in high school calculus) include:
* Minimum bid of 6 (w... |
#!/usr/bin/env python
# Copyright (c) 2016, 2017 <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 restriction, including without limitation the rights
# to use, copy, modify,... |
from functools import partial
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn.functional as F
from torch import nn
from mmderain.models.common import sizeof
from mmderain.models.registry import BACKBONES
from mmderain.models.layers import SELayer_Modified
class ResidualBlock(nn.Modul... |
import math
from KratosMultiphysics import *
from KratosMultiphysics.BRepApplication import *
from KratosMultiphysics.IsogeometricApplication import *
###
### This module is a factory to generate typical geometries for isogeometric analysis, e.g. circle, l-shape, ...
###
nurbs_fespace_library = BSplinesFESpaceLibrary... |
# Copyright (c) 2019-2022, NVIDIA CORPORATION & AFFILIATES. 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 ... |
import os
import re
import csv
import sys
import json
import yaml
import time
import socket
import connexion
import postgresql as psql
from flask import current_app
from urllib.parse import urlencode
from hashlib import md5
from bokeh.embed import server_document
from .processes import fetch_process, is_running, proce... |
#!/usr/bin/python3
import os
import click
import sys
import csv
import time
import pandas as pd
import country_converter as coco
import hashlib
import phonenumbers
from tqdm import tqdm
from uszipcode import SearchEngine
HEADER_TRANSLATIONS = {
"email1": "Email",
"phone1": "Phone",
"person_country": "Count... |
from typing import Iterable as Iterable, List, Dict, Callable, Iterator, Set, Optional
from ...models.core.Unit import Unit
from ...models.core.Class import Class
from ...models.core.Weapon import Weapon
from ...models.core.Item import Item
from ...models.core.Skill import Skill
from ...models.play.ActiveArena import A... |
# ---
# jupyter:
# jupytext:
# formats: jupyter_scripts//ipynb,scripts//py
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.3'
# jupytext_version: 1.0.0
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # s... |
import os
import time
import argparse
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from config import get_config, export_config
from model.textcnn import TextCNN
from model.textrnn import TextRNN
from sklearn.model_selection import train_test_split
from dataloader import Word2VecEmbeddings, Doc2Vec... |
# Copyright 2021 The T5 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 or agreed to in writi... |
from Interface.StudentCommandLineInterface import CLI
from HelperLibrary.StorageFunctions import StorageFunctions
from HelperLibrary.MarkSheet import MarkSheet
from datetime import datetime
class StudentController:
def __init__(self, student, table_name):
self.student = student
self.table_name = ... |
# -*- coding: UTF-8 -*-
import os
import sys
import subprocess
import argparse
import re
import configparser
import logging
import copy
import psutil
if sys.version_info[0] < 3:
import struct
import tensorflow as tf
from tensorflow.core.framework import graph_pb2
# level=logging.INFO only logging.debug info,leve... |
# Code modified from original by @jvfe (BSD2)
# Copyright (c) 2020, jvfe
# https://github.com/jvfe/wdt_contribs/tree/master/complex_portal/src
import math
import re
from collections import defaultdict
from ftplib import FTP
from functools import lru_cache, reduce
from time import gmtime, strftime
import pandas as pd
f... |
from collections import deque
from enum import Enum
import logging
from .constants.codes import CatCode
from .constants.parameters import param_to_instr
from .constants.specials import special_to_instr
from .constants.instructions import (Instructions, if_instructions,
unexpanded_c... |
import math
import numpy as np
import cv2
import json
import argparse
def augment_homogeneous(V, augment):
""" Augment a 3xN array of vectors into a 4xN array of homogeneous coordinates
Args:
v (np.array 3xN): Array of vectors
augment (float): The value to fill in for the W coordinate
Retu... |
#!/usr/bin/env python
"""
Configure folder for Multicolor testing.
Hazen 01/18
"""
import argparse
import inspect
import numpy
import os
import pickle
import subprocess
import storm_analysis
import storm_analysis.sa_library.parameters as parameters
import storm_analysis.sa_library.sa_h5py as saH5Py
import storm_anal... |
# The MIT License (MIT)
#
# Copyright (c) 2018 PyBER
#
# 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 restriction, including without limitation the rights
# to use, copy, modify, mer... |
# Copyright 2016 Cisco Systems, 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 to in writing... |
import json
import sys
# import matplotlib.pyplot as plt
import copy
import numpy as np
import tensorflow as tf
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.utils import class_weight
from collections import Counter
import random
from tensorflow.keras.callbacks import Callback
from sklearn.met... |
# -*- coding: utf-8 -*-
"""
Created on 2017-8-24
@author: cheng.li
"""
import bisect
import datetime as dt
from typing import Iterable
from typing import Union
import numpy as np
import pandas as pd
from simpleutils.asserts import require
from PyFin.DateUtilities import Period
from PyFin.api import BizDayConventions... |
"""
one agent chooses an action, says it. other agent does it. both get a point if right
this file was forked from mll/discrete_bottleneck_discrete_input.py
"""
import torch
import torch.nn.functional as F
from torch import nn, optim
# from envs.world3c import World
from ulfs import alive_sieve, rl_common
from ulfs.s... |
"""Simulate a Map Reduce Scenario where timeout prevention is required.
In this simulation we are using an Optimizer created for map reduce scenarios.
This improves the distribution of the computation no matter how the interest is formated.
Scenario consists of two NFN nodes and a Client. Goal of the simulation is to ... |
import logging, operator, functools, itertools, array, ptypes
from ptypes import *
from .headers import *
from . import portable
class Signature(pint.enum, uint16):
# We'll just store all signature types here
_values_ = [
('IMAGE_DOS_SIGNATURE', 0x5a4d),
('IMAGE_OS2_SIGNATURE', 0x454e),
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import enum
import json
import os
import plistlib
import subprocess
import time
import tools
import requests
python_script_debug_enable = False # 是否开启debug模式 用于测试脚本
pwd = os.getcwd() # 当前文件的路径
ios_project_path = os.path.abspath(os.path.dirname(
pwd) + os.path.sep... |
"""Transformer from 'Attention is all you need' (Vaswani et al., 2017)"""
# Reference: https://www.tensorflow.org/text/tutorials/transformer
# Reference: https://keras.io/examples/nlp/text_classification_with_transformer/
import numpy as np
import tensorflow as tf
class Transformer(tf.keras.Model):
def __init__(... |
#!/usr/bin/env python3
from dataknead import Knead
from facetool import config, media, util
from facetool.constants import *
from facetool.path import Path
from facetool.profiler import Profiler
from facetool.errors import ArgumentError
from facetool.util import message, force_mkdir, sample_remove, is_json_path
from r... |
#!/usr/bin/env python3
import socket
import threading
import logging
logging.basicConfig(filename='meca.log', level=logging.DEBUG)
PROGRAM_FILE = 'program_output.txt'
# Dictionary of status indexes in robot status message
statusDict = {'activated': 0,
'homed': 1,
'simulating': 2,
'... |
from numpy import zeros, ones, dot, sum, abs, max, argmax, clip, \
random, prod, asarray, set_printoptions, unravel_index
# Generate a random uniform number (array) in range [0,1].
def zero(*shape): return zeros(shape)
def randnorm(*shape): return random.normal(size=shape)
def randuni(*shape): return random.ran... |
# Copyright <NAME> 2011-2017
# 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)
#-------------------------------------------------------------------------------
# CreateVersionFileCpp
#--------... |
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from .layers import *
PRIMITIVES = [
'MBI_k3_e3',
'MBI_k3_e6',
'MBI_k5_e3',
'MBI_k5_e6',
'MBI_k3_e3_se',
'MBI_k3_e6_se',
'MBI_k5_e3_se',
'MBI_k5_e6_se',
# 'skip',
]
OPS = {
'MBI_k3_e3' : lambda ic, mc, oc, s, aff, act: MBInvert... |
import numpy as np
from mldftdat.pyscf_utils import *
from mldftdat.workflow_utils import safe_mem_cap_mb
from pyscf.dft.numint import eval_ao, make_mask
from mldftdat.density import LDA_FACTOR,\
contract21_deriv, contract21, GG_AMIN
def dtauw(rho_data):
return - get_gradient_magnitud... |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# -----------
# SPDX-License-Identifier: MIT
# Copyright (c) 2021 <NAME>
# uuid : 633f2088-bbe3-11eb-b9c2-33be0bb8451e
# author: <NAME>
# email : <EMAIL>
# date : 2021-05-23
# -----------
"""
The `repair` command has access to tools that can repair various
problems th... |
import numpy as np
from myutils import *
from easydict import EasyDict as edict
def dcg_at_k(r, k, method=1):
r = np.asfarray(r)[:k]
if r.size:
if method == 0:
return r[0] + np.sum(r[1:] / np.log2(np.arange(2, r.size + 1)))
elif method == 1:
return np.sum(r / np.log2(np.... |
from __future__ import unicode_literals
from __future__ import absolute_import, division, print_function
"""
This module contains (and isolates) logic used to find entities based on entity type,
list selection criteria and search terms.
"""
__author__ = "<NAME> (<EMAIL>)"
__copyright__ = "Copyright 2014, <NAME... |
import json
import pickle
import re
from copy import copy, deepcopy
from functools import lru_cache
from json import JSONDecodeError
from os import system, walk, sep
from abc import ABC, abstractmethod
from pathlib import Path
import time
from subprocess import check_output
from tempfile import NamedTemporaryFile
from ... |
import numpy as np
from numpy.random import RandomState
from numpy.testing import assert_allclose
from nnlib.l_layer.backward import linear_backward, linear_backward_activation, model_backward
from nnlib.utils.derivative import sigmoid_backward, relu_backward
from nnlib.utils.activation import sigmoid, relu
def test... |
import argparse
import glob
import os
import random
import re
from dataclasses import dataclass
from functools import partial
from math import ceil
from typing import List, Optional
import numpy as np
import torch
from torch.optim.lr_scheduler import ReduceLROnPlateau
from tqdm import tqdm
import util
tqdm.monitor_i... |
# region [Imports]
# * Standard Library Imports ---------------------------------------------------------------------------->
import os
import asyncio
from io import BytesIO
from pathlib import Path
from datetime import datetime
from tempfile import TemporaryDirectory
from textwrap import dedent
# * Third Party Impo... |
import collections
import csv
import os
import sys
from enum import Enum
from pathlib import Path
# adapt paths for jupyter
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
sys.path.append(module_path)
import face_alignment
from yawn_train.src.blazeface_detector import BlazeFaceD... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import csv
import getopt
import io
import itertools
import logging
import numbers
import os
import re
import sqlite3
import string
import sys
import textwrap
import time
try:
import readline
except ImportError:
pass
try:
... |
"""
Copyright 2012-2019 <NAME>
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, software
di... |
# This file implements file system operations at the level of inodes.
import time
import secfs.crypto
import secfs.tables
import secfs.access
import secfs.store.tree
import secfs.store.block
from secfs.store.inode import Inode
from secfs.store.tree import Directory
from cryptography.fernet import Fernet
from secfs.typ... |
from datetime import timezone
from functools import partial, update_wrapper
from django.utils.cache import get_conditional_response
from django.utils.http import http_date, quote_etag
from rest_framework import status
from rest_framework.metadata import BaseMetadata
from rest_framework.response import Response
from re... |
#
# Copyright (c) 2021 IBM Corp.
# 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... |
from fabric2 import Connection
from fabric2 import task
from fabric2 import config
import os
import time
from xml.etree import ElementTree as ET
import uuid
import glob
import json
import urllib.parse
import io
workflow_components = ['input.xml', 'binding.xml', 'flow.xml', 'result.xml', 'tool.xml']
@task
def release_... |
# 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 (t... |
import filecmp
import os
import sys
import shutil
import subprocess
import time
import unittest
if (sys.version_info > (3, 0)):
import urllib.request, urllib.parse, urllib.error
else:
import urllib
from optparse import OptionParser
from PyQt4 import QtCore,QtGui
parser = OptionParser()
parser.add_option("-r",... |
import base64
import datetime
import io
import json
import traceback
import aiohttp
import discord
import pytimeparse
from data.services.guild_service import guild_service
from discord.commands import Option, slash_command, message_command, user_command
from discord.ext import commands
from discord.utils import forma... |
import os
import lxml.etree as et
import pandas as pd
import numpy as np
import regex as re
def get_element_text(element):
"""
Extract text while
-skipping footnote numbers
-Adding a space before and after emphasized text
"""
head = element.text if element.tag != 'SU' else ''
child = ' '.... |
import re
import operator
from collections import namedtuple
SCHEMA_TYPES = {'str', 'int', 'bool'}
ROWID_KEY = '_rowid'
class Literal(namedtuple('Literal', 'value')):
@classmethod
def eval_value(cls, value):
if not isinstance(value, str):
raise ValueError(f"Parameter {value} must be a str... |
import numpy as np
import pandas as pd
import pytest
from etna.datasets import TSDataset
from etna.datasets import generate_ar_df
from etna.datasets import generate_const_df
from etna.datasets import generate_periodic_df
from etna.metrics import R2
from etna.models import LinearPerSegmentModel
from etna.transforms imp... |
'''
Micro Object Detector Net
the author:Luis
date : 11.25
'''
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from layers import *
from models.base_models import vgg, vgg_base
from ptflops import get_model_complexity_info
class BasicConv(nn.Module):
def __init__(self, in_planes, ou... |
# Copyright 2020 <NAME>
# 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, software... |
from collections import namedtuple
import numpy as np
import scipy as sp
from scipy.sparse.csgraph import minimum_spanning_tree
from .. import logging as logg
from ..neighbors import Neighbors
from .. import utils
from .. import settings
def paga(
adata,
groups='louvain',
use_rna_velocity=Fals... |
from pygame import mixer
import speech_recognition as sr
import pyttsx3
import pyjokes
import boto3
import pyglet
import winsound
import datetime
import pywhatkit
import datetime
import time
import os
from PIL import Image
import random
import wikipedia
import smtplib, ssl
from mutagen.mp3 import MP3
import requests, ... |
import json
import math
import re
from django.urls import reverse
from django.http.response import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect, render
from django.template.defaultfilters import slugify
from django.db.models import Q, F
from haystack.query import SQ, SearchQuerySet
from dja... |
from os.path import join, splitext
from uuid import uuid4
import datetime
from django.db import models
#from django.utils.encoding import python_2_unicode_compatible
from django.utils import timezone
from django.urls import reverse
from django.contrib.auth.models import User
# Create your models here.
#@... |
import re, requests, bs4, unicodedata
from datetime import timedelta, date, datetime
from time import time
# Constants
root = 'https://www.fanfiction.net'
# REGEX MATCHES
# STORY REGEX
_STORYID_REGEX = r"var\s+storyid\s*=\s*(\d+);"
_CHAPTER_REGEX = r"var\s+chapter\s*=\s*(\d+);"
_CHAPTERS_REGEX = r"Chapters:\s*(\d+)\... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
r"""
FIXME:
sometimes you have to chown -R user:user ~/.theano or run with sudo the
first time after roboot, otherwise you get errors
CommandLineHelp:
python -m wbia_cnn --tf netrun <networkmodel>
--dataset, --ds = <dstag>:<subtag>
dstag is the main da... |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 9 09:42:00 2021
@author: barraly
"""
import sabs_pkpd
import numpy as np
import matplotlib.pyplot as plt
import os
# Select the folder in which this repo is downloaded in the line below
os.chdir('The/location/of/the/root/folder/of/this/repo')
# In[Loa... |
# BSM Python library and command line tool
#
# Copyright (C) 2020 chargeIT mobility GmbH
#
# SPDX-License-Identifier: Apache-2.0
from . import config
from . import md
from . import util as butil
from ..crypto import util as cutil
from ..sunspec.core import client as sclient
from ..sunspec.core import suns
from ..suns... |
import base64
import shutil
import json
import re
from enum import Enum, auto
from typing import Optional
import py7zr
from cachetools import TTLCache, cached
from ruamel.yaml import YAML, YAMLError
from logger import getLogger
import os
import tempfile
import zipfile
import requests
from bs4 import BeautifulSoup
l ... |
# !/usr/bin/env python
# Copyright (c) 2019 Computer Vision Center (CVC) at the Universitat Autonoma de
# Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
#
# Modified by <NAME> on 20 April 2020
import argparse
import datetime
impo... |
# Copyright (c) 2014 Evalf
#
# 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 restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, s... |
#!/usr/bin/env python3
#
# Import built in packages
#
import logging
import platform
import os
import time
import socket
import subprocess
import signal
import psutil
from .util import setup_logger
from .util import PylinxException
import re
# Import 3th party modules:
# - wexpect/pexpect to launch... |
"""
jb2.py
~~~~~~
Use JBIG2, and an external compressor, for black and white images.
"""
import os, sys, subprocess, struct, zipfile, random
from . import pdf_image
from . import pdf_write
from . import pdf
import PIL.Image as _PILImage
_default_jbig2_exe = os.path.join(os.path.abspath(".."), "agl-jbig2enc", "jbig2.... |
# Copyright 2020 Google 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 writing, ... |
# -*- coding: utf-8 -*-
import redis
import os
import telebot
import math
import random
import threading
from telebot import types
from emoji import emojize
from pymongo import MongoClient
token = os.environ['TELEGRAM_TOKEN']
bot = telebot.TeleBot(token)
admins=[441399484]
games={}
client1=os.environ['database']
clie... |
import os
import shutil
import argparse
import torch
from torch import nn
from torchvision.utils import save_image, make_grid
import matplotlib.pyplot as plt
import numpy as np
import cv2 as cv
import utils.utils as utils
from utils.constants import *
class GenerationMode(enum.Enum):
SINGLE_IMAGE = 0,
INT... |
"""
Processing data in win32 format.
"""
import glob
import logging
import math
import os
import subprocess
import tempfile
from fnmatch import fnmatch
from multiprocessing import Pool, cpu_count
from subprocess import DEVNULL, PIPE, Popen
# Setup the logger
FORMAT = "[%(asctime)s] %(levelname)s: %(message)s"
logging.... |
# import scipy.signal
from gym.spaces import Box, Discrete
import numpy as np
import torch
from torch import nn
import IPython
# from torch.nn import Parameter
import torch.nn.functional as F
from torch.distributions import Independent, OneHotCategorical, Categorical
from torch.distributions.normal import Normal
# # fr... |
import calendar
import datetime
import re
import sys
from dateutil.relativedelta import relativedelta
import gam
from gam.var import *
from gam import controlflow
from gam import display
from gam import gapi
from gam import utils
from gam.gapi.directory import orgunits as gapi_directory_orgunits
def build():
re... |
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import time
from datetime import timedelta
import os
# Importing a helper module for the functions of the Inception model.
import inception
import cifar10
from cifar10 import num_classes
from inception import transfer_values_cache
#Importing... |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.colors import LinearSegmentedColormap
ms_color = [0.12156863, 0.46666667, 0.70588235, 1]
hc_color = [1., 0.49803922, 0.05490196, 1]
SMALL_SIZE = 12
MEDIUM_SIZE = 14
BIGGER_SIZE = 16
plt.rc('font', size=SMALL_SIZE) # contr... |
""" 参考自https://github.com/bojone/crf/ """
import tensorflow as tf
k = tf.keras
kl = tf.keras.layers
K = tf.keras.backend
from sklearn.model_selection import train_test_split
import numpy as np
import re
from tqdm import tqdm
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
class CRF(kl.L... |
# coding:utf-8
#!/usr/bin/python
#
# Copyright (c) Contributors to the Open 3D Engine Project.
# For complete copyright and license terms please see the LICENSE at the root of this distribution.
#
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
#
# ------------------------------------------------------------------------... |
import asyncio
from datetime import datetime, timedelta
import functools
from http import HTTPStatus
import logging
import os
import pickle
from random import random
import re
import struct
from typing import Any, Callable, Coroutine, Dict, List, Optional, Sequence, Tuple
import warnings
import aiohttp.web
from aiohtt... |
import csv
import random
from functools import partial
from typing import Callable, Optional
from pdb import set_trace as st
import os
import random
import pandas as pd
from typing import Any, Callable, Dict, Iterable, List, Tuple, Union
import numpy as np
import tensorflow as tf
from foolbox.attacks import (
FGSM... |
"""
Module to execute the simulation for a given instance.
"""
""" import packages """
import logging
from importlib import import_module
import numpy.random as rdm
import copy
import numpy as np
""" import project configurations """
import configurations.settings_simulation as config
""" import project librar... |
from __future__ import annotations
import os
import string
import random
import logging
import vapoursynth as vs
from pathlib import Path
from requests import Session
from functools import partial
from requests_toolbelt import MultipartEncoder, MultipartEncoderMonitor
from typing import Any, Mapping, Callable, Dict, F... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import xrange
from util import log
from pprint import pprint
from input_ops import create_input_ops
from model import Model
import os
import time
import tensorflow as tf
import tensorflow.contr... |
#!/usr/bin/python
import numpy as np
import os
import pymaster as nmt
import pytest
import tjpcov.main as cv
from tjpcov.parser import parse
import yaml
import sacc
root = "./tests/benchmarks/32_DES_tjpcov_bm/"
input_yml = os.path.join(root, "tjpcov_conf_minimal.yaml")
input_yml_no_nmtc = os.path.join(root, "tjpcov_c... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 11 13:46:58 2019
@author: bdgecyt
"""
import cv2
import math
from time import time
import numpy as np
import wrapper
from operator import itemgetter
boxes = []
xCount = 0
yCount = 0
iter = 0
img = 0
def on_mouse(event, x, y, flags, params):
global iter
t... |
# Create your views here.
from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login
from django.contrib.auth.models import User
from django.template import loader
from django.forms.utils import ErrorList
from django.http import HttpResponse
from .origo import Origo_Thread
from .o... |
import qiskit
import qtm.progress_bar
import qtm.constant
import qtm.qfim
import qtm.noise
import qtm.optimizer
import qtm.fubini_study
import numpy as np
import types, typing
def measure(qc: qiskit.QuantumCircuit, qubits, cbits=[]):
"""Measuring the quantu circuit which fully measurement gates
Args:
... |
# -*- coding: utf-8 -*-
import numpy as np
import random
import sys
from collections import Counter
import json
from argparse import ArgumentParser
from rand_utils import rand_partition
def build_tree(num_leaves = 10, rootdate = 1000):
"""
Starting from a three-node tree, split a randomly chosen branch to in... |
#coding=utf-8
import tensorflow as tf
import tfop
contrib_image = tf.contrib.image
def blend(image1, image2, factor):
"""Blend image1 and image2 using 'factor'.
Factor can be above 0.0. A value of 0.0 means only image1 is used.
A value of 1.0 means only image2 is used. A value between 0.0 and
1.0 means we ... |
#!/usr/bin/env python3
import datetime
import os
import warnings
import numpy as np
import scipy.interpolate as si
import matplotlib as mpl
from matplotlib.backends import backend_pdf
import matplotlib.pyplot as plt
from .utils import aia_raster
from .utils import cli
from .utils import eis
from .utils import num
f... |
"""
<NAME>
<NAME>
<NAME>
<NAME>
CISC 204
Modelling project
Wed december 9th 2020
Professor Muise
"""
#Import
from nnf import Var
from nnf import Or
import nnf
from lib204 import Encoding
from csvReader import readCSV
'''
Customer class
Used to create a class containing the various restrictions a
person might have ... |
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