content stringlengths 5 1.05M |
|---|
# coding:utf-8
# -- standard library ---------------------------------------------------------
import json
import unittest
# --Modules to test -----------------------------------------------------------
from VestaService.Report import WorkerReport, TaskReport
class UtilsTests(unittest.TestCase):
def test_Worke... |
#!/usr/bin/env python2.7
# vim : set fileencoding=utf-8 expandtab noai ts=4 sw=4 filetype=python :
"""
embeddedfactor GmbH 2015
Simple python orchestration with fabric, stitch.datastore and fabtools
"""
from __future__ import print_function
import stitch.datastore
from stitch.datastore.utils import resolve
from stitch.... |
# -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... |
import os
import numpy as np
from datetime import datetime as dt,timedelta
import pandas as pd
import requests
import pickle
from scipy.interpolate import interp1d
from scipy.ndimage import gaussian_filter as gfilt,gaussian_filter1d as gfilt1d
from scipy.ndimage.filters import minimum_filter
import matplotlib.dates as... |
from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, AveragePooling2D, concatenate,\
GlobalAveragePooling2D, add, UpSampling2D, Dropout, Activation
from tensorflow.keras.models import Model
def unet(num_channels,
ds=2,
lr=1e-4,
verbose=0,):
inputs = Input((None, None, nu... |
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from rest_framework import viewsets
from rest_framework.authentication import TokenAuthentication
from rest_framework import filters
from rest_framework.authtoken.views import ObtainAuthToken
from res... |
#!/usr/bin/env python
"""A widget to display changing values in real time as a strip chart
Known issues:
Matplotlib's defaults present a number of challenges for making a nice strip chart display.
Here are manual workarounds for some common problems:
- Memory Leak:
Matplotlib 1.0.0 has a memory leak in canvas.dr... |
# Copyright 2019 Atalaya Tech, 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 re
from src.detection import Result
from src.detection.harness import Harness
def check_effective_with_differential_test(testcase: str, normal_outputs: list, suspicious_outputs: list, with_output_info=False):
testbed = []
for output in (normal_outputs + suspicious_outputs):
testbed.append(outp... |
# Copyright (C) 2019-2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
# pylint: disable=unused-import
from enum import Enum
from io import BytesIO
import numpy as np
import os
import os.path as osp
_IMAGE_BACKENDS = Enum("_IMAGE_BACKENDS", ["cv2", "PIL"])
_IMAGE_BACKEND = None
try:
import cv2
_IMAGE_... |
import os, sys
import warnings
from os.path import join as opj
import yaml
import numpy as np
import random
import pathlib
import subprocess
import torch
from torch.utils.data import Subset
def save_args(args, odir):
if type(args) != dict:
args = vars(args)
with open(opj(odir,"args.yaml"),mode="w") ... |
import hoomd
from hoomd.conftest import pickling_check
import numpy
import pytest
@pytest.fixture(scope='session')
def polymer_snapshot_factory(device):
"""Make a snapshot with polymers and distance constraints."""
def make_snapshot(polymer_length=10,
N_polymers=10,
... |
# GNU MediaGoblin -- federated, autonomous media hosting
# Copyright (C) 2011, 2012 MediaGoblin contributors. See AUTHORS.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either versio... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This file is part of Karesansui.
#
# Copyright (C) 2012 HDE, Inc.
#
# 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, incl... |
#
# @lc app=leetcode id=700 lang=python3
#
# [700] Search in a Binary Search Tree
#
# https://leetcode.com/problems/search-in-a-binary-search-tree/description/
#
# algorithms
# Easy (73.58%)
# Total Accepted: 290.2K
# Total Submissions: 394.1K
# Testcase Example: '[4,2,7,1,3]\n2'
#
# You are given the root of a bin... |
from typing import Any
from convertible.Convert.ExceptionHandler.ConvertException import ConvertException
from .Convertible import Convertible
class Optional(Convertible):
"""
A Convertible that will either Convert the argument with the Convertible provided or return None.
"""
__slots__ = ("convert... |
import math
a,b,c = map(float,input().split())
d = (b*b) - (4*a*c)
if(a==0 or d<0):
print("Impossivel calcular")
else:
d = math.sqrt(d)
r1 = (-b + d) / (2*a)
r2 = (-b -d) / (2*a)
print(f'R1 = {r1:.5f}')
print(f'R2 = {r2:.5f}')
|
from graphviz import Source
s = Source.from_file('fboaventuradev_terraform.dot', format='png')
s.save(filename='fboaventuradev_tf')
s.view()
|
from colorama import Fore, Style
import logging
LEVEL_NAMES = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]
LEVEL_COLORS = {
"DEBUG": Style.DIM,
"INFO": '',
"WARNING": Fore.YELLOW,
"ERROR": Fore.RED,
"CRITICAL": Fore.RED
}
LEVEL_SHOW_LABEL = {
"DEBUG": False,
"INFO": False,
"WARNING... |
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 VMware, Inc. All Rights Reserved.
# SPDX-License-Identifier: BSD-2-Clause
"""
SPDX document formatting
"""
# document level strings
spdx_version = 'SPDX-2.2'
data_license = 'CC0-1.0'
spdx_id = 'SPDXRef-DOCUMENT'
document_name = 'Tern report for {image_name}'
document_co... |
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 28 15:36:42 2020
@author: nikbakht
"""
#---------------------------------
import tensorflow as tf
#import socket
GPU_mode = 0
if GPU_mode:
num_GPU =0# GPU to use, can be 0, 2
mem_growth = True
print('Tensorflow version: ', tf.__version__)
gpus = tf.config... |
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from hustlers.constants import REGULAR_HUSTLER_PERMISSIONS
from hustlers.utils.permission_utils import (
as... |
"""
机器学习是关于学习数据集的一些属性并将其应用于新数据。
这就是为什么在机器的普遍做法学习评价的算法是手头上的数据分成两组，
一个是我们所说的训练集上，
我们了解到，我们称之为数据属性和一个测试集 上，我们测试这些属性。
scikit-learn提供了一些标准数据集，例如：
用于分类的 虹膜和数字数据集和波士顿房价回归数据集。
数据集是一个类似字典的对象，它保存有关数据的所有数据和一些元数据。该数据存储在.data成员中，它是一个数组。
在监督问题的情况下，一个或多个响应变量存储在成员中。
有关不同数据集的更多详细信息，请参见 : 数据集加载工具一节。
""" |
import numpy
import theano
import theano.tensor as tensor
from neural_srl.theano.util import floatX
def adadelta(parameters, gradients, rho=0.95, eps=1e-6):
""" Reference: ADADELTA: An Adaptive Learning Rate Method,
Zeiler 2012. https://arxiv.org/abs/1212.5701
Adapted from the Adadelta implementation... |
# -*- coding: utf-8 -*-
'''
Often-needed functions when using binet
Copyright © 2013-2015 Thomas Unterthiner.
Licensed under GPL, version 2 or a later (see LICENSE.rst)
'''
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_imp... |
coords = []
while True:
try:
pair = list(map(int, input().split(",")))
coords.append(pair)
except:
break
xmin = min([pair[0] for pair in coords])
xmax = max([pair[0] for pair in coords])
ymin = min([pair[1] for pair in coords])
ymax = max([pair[1] for pair in coords])
xd = xmax - xmin ... |
from z3 import *
npcs = []
biomes = []
class npc(object):
def __init__(self, name):
self.name = name
self.sells = True
self.guide = False
self._loves = []
self._likes = []
self._dislikes = []
self._hates = []
self.near = {}
npcs.append(self)
def loves(self, *loves):
self._l... |
from django.shortcuts import render
from .models import Post
# Create your views here.
|
import sys
sys.path.insert(0, "multidoc")
from multidoc.generate import generate_pybind_documented, generate_cpp_documented
if __name__ == "__main__":
generate_pybind_documented(api_prefix="docstrings", target_src="../tudatpy")
generate_cpp_documented(api_prefix="docstrings", target_src="../tudat")
|
#!/usr/bin/env python
# coding: utf-8
'''
Usage:
process_task.py <config_file>
process_task.py (--help|--version)
Arguments:
config_file the path of config_file
Options:
-h --help show this help message and exit
-v --version show version and exit
'''
import time
import sys
import os
i... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-13 00:52
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_20171012_1411'),
]
operations = [
migrations.AlterField(
... |
VERSION = (0, 10, 0, 'alpha', 1)
|
from setuptools import setup
import httpie_jwt_auth
setup(
name='httpie-jwt-auth',
description='JWTAuth plugin for HTTPie.',
long_description=open('README.rst').read().strip(),
version=httpie_jwt_auth.__version__,
author=httpie_jwt_auth.__author__,
author_email='hoatle@teracy.com',
license... |
import cv2
import numpy as np
''' we can use OpenCV functions to draw different Shaps
like line, rectangle, circle etc
'''
# Create an image
# here i have created an image of 400*400 and having
# 3 channels and in OpenCV datatype = uint8
img = np.zeros((400, 400, 3), dtype = 'uint8')
a = img.copy()
line = cv2.li... |
from django.conf.urls import url
from demo.views import (Home, QuestionDetail)
urlpatterns = [
url(r'^question/(?P<pk>[0-9]+)$', QuestionDetail.as_view(), name="questiondetail"),
url(r'^$', Home.as_view(), name="home"),
]
from django.conf.urls.static import static, settings
urlpatterns = urlpatte... |
from machine import Pin
from time import ticks_us
from time import ticks_diff
IR_PIN = 14
timeStart = -1
data = 0
dataBitIndex = 0
irQueue = [ ]
pin = None
pinIR = None
lastData = 0
def onIRPinChange(p):
global timeStart, data, dataBitIndex, irQueue, lastData
if p.value() == 1: # 1
timeStart = ticks_... |
import requests
from bs4 import BeautifulSoup
def fetch_reddit_posts():
news = []
community = []
media = []
art = []
funny = []
gaming = []
# def get_stories_from_url(url):
headers = { 'user-agent': 'the front page/0.0.1' }
url = 'https://www.reddit.com/r/news+worldnews+uplifting... |
#!/usr/bin/env python
#
# portable serial port access with python
# this is a wrapper module for different platform implementations
#
# (C) 2017-2017 Kenneth Ceyer <kennethan@nhpcw.com>
# this is distributed under
# Apache 2.0 <https://www.apache.org/licenses/LICENSE-2.0>
|
import argparse
import socket
import datetime
import yaml
import torch
import numpy as np
import time
import random
import math
import os
import getpass
import glob
from functools import reduce
import operator
def pad_with_last_col(matrix, cols):
out = [matrix]
pad = [matrix[:, [-1]]] * (cols - matrix.size(1)... |
# encoding=utf-8
# Project: transfer_cws
# Author: xingjunjie
# Create Time: 07/11/2017 2:35 PM on PyCharm
import argparse
from data_utils import load_pre_train, load_vocab, get_processing, Dataset, EvaluateSet
import tensorflow as tf
import os
import pickle
import json
from utils import get_logger
def train_pos(arg... |
import datetime
import json
import os
import spotipy
from tzlocal import get_localzone
class StreamingHistory:
def __init__(self, path: str = '.') -> None:
self.current_year = datetime.date.today().year
self.end = None
self.minutes_listened = 0
self.hours_listened = 0
fi... |
from typing import Union
import scipy.stats as stats
from beartype import beartype
from UQpy.distributions.baseclass import DistributionContinuous1D
class GeneralizedExtreme(DistributionContinuous1D):
@beartype
def __init__(
self,
c: Union[None, float, int],
loc: Union[None, float, ... |
import os
import strax
import numba
import numpy as np
export, __all__ = strax.exporter()
# (5-10x) faster than np.sort(order=...), as np.sort looks at all fields
# TODO: maybe this should be a factory?
@export
@numba.jit(nopython=True, nogil=True, cache=True)
def sort_by_time(x):
"""Sort pulses by time, then c... |
from .TopDownCrawl import main
main() |
from collections import namedtuple
import logging
import os
import numpy as onp
from numpy.testing import assert_allclose
import pytest
from jax import device_put, disable_jit, grad, jit, random, tree_map
import jax.numpy as np
import numpyro.distributions as dist
from numpyro.infer.hmc_util import (
AdaptWindow... |
from datetime import datetime, timedelta
import logging
import geopandas
import movingpandas
import pandas
import requests
from mesa.datacollection import DataCollector
from tqdm import tqdm
from pyproj import CRS
from dpd.modeling.agents.people import Pedestrian, Cyclist, Driver
from dpd.werkzeug import WerkzeugThre... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, with_statement
import os
import shutil
import kaptan
import tempfile
from .. import config, cli
from ..util import tmux
from .helpers import TestCase
import logging
logger = logging.getLogger(__name__)
TMUXP_DIR = os.path.join(... |
import socket
from krgram.utils.bytes import Bytes
from krgram.utils.stream import QueueByteStream, IByteStream
_debug= True
class TCPByteStream(IByteStream):
"""
Represents a TCP connection as a bidirectional stream (readable/writable)
Example usage::
tcpstream = TCPByteStream(host, port)
tcpstream.write("... |
#**********************************************************************
# Copyright 2020 Advanced Micro Devices, 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.o... |
from .site_settings import SiteSettingsSerializer
|
import pygame.mixer
from pygame.mixer import Sound
from gpiozero import Button
from signal import pause
pygame.mixer.init()
sound_pins = {
2: Sound("test soundeff.wav"),
}
buttons = [Button(pin) for pin in sound_pins]
for button in buttons:
sound = sound_pins[button.pin]
button.when_pressed = sound.play... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
"""This file contains code used in "Think Stats",
by Allen B. Downey, available from greenteapress.com
Copyright 2010 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
import math
import matplotlib.pyplot as pyplot
import myplot
import Pmf
def NormalPdf(x):
"""Computes the PDF of x i... |
#
# Copyright (c) 2019 Juniper Networks, Inc. All rights reserved.
#
from cfgm_common.exceptions import NoIdError
from vnc_api.gen.resource_client import RouteTarget
from schema_transformer.resources._resource_base import ResourceBaseST
class RouteTargetST(ResourceBaseST):
_dict = {}
obj_type = 'route_targe... |
import os
import shutil
import tempfile
from pathlib import Path
from unittest.mock import patch, MagicMock
from pipeline.recon.web import WebanalyzeScan, GatherWebTargets
from pipeline.tools import tools
webanalyze_results = Path(__file__).parent.parent / "data" / "recon-results" / "webanalyze-results"
class TestW... |
# Signatures
from DSGRN import *
import sqlite3
def SaveDatabase(filename, data, pg):
# print("Save Database")
conn = sqlite3.connect(filename)
conn.executescript("""
create table if not exists Signatures (ParameterIndex INTEGER PRIMARY KEY, MorseGraphIndex INTEGER);
create table if not exists ... |
#!/usr/bin/env python
# Use Netmiko to change the logging buffer size and to disable console logging
# from a file on both pynet-rtr1 and pynet-rtr2.
from netmiko import ConnectHandler
def main():
# Definition of rtr2.
rtr1 = {
'device_type': 'cisco_ios',
'ip': '50.76.53.27',
'use... |
from core import Locust, TaskSet, WebLocust, SubLocust, task
from exception import InterruptTaskSet, ResponseError, RescheduleTaskImmediately
version = "0.6.2"
|
import sys
import tkinter
from PIL import Image, ImageTk
import threading
import time
import urllib.request
import io
import requests
import json
def show_image():
global item, canvas
root = tkinter.Tk()
root.attributes('-fullscreen', True)
# root.bind('', lambda e: root.destroy())
root.title('... |
import pyxel
pyxel.init(200, 200)
pyxel.cls(7)
for i in range(0, 110, 10):
pyxel.line(i, 0, 100 + i, 200, 0)
pyxel.show()
|
#!/usr/bin/env python
from _menu import *
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: José Sánchez-Gallego (gallegoj@uw.edu)
# @Date: 2018-01-16
# @Filename: command.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
#
# @Last modified by: José Sánchez-Gallego (gallegoj@uw.edu)
# @Last modified time: 2019-04-27 12:35:2... |
# The contents of this file are subject to the BitTorrent Open Source License
# Version 1.1 (the License). You may not copy or use this file, in either
# source code or executable form, except in compliance with the License. You
# may obtain a copy of the License at http://www.bittorrent.com/license/.
#
# Software di... |
from decimal import *
class DecimalStack(object):
def __init__(self, *d):
self.data = list(d)
def __getitem__(self, id):
return self.data[id]
def add(self):
self.data.append(self.data.pop() + self.data.pop())
def sub(self):
self.data.append(0 - (self.data.pop() - sel... |
import pytest
from ctrlibrary.threatresponse.enrich import enrich_observe_observables
from ctrlibrary.core.utils import get_observables
from tests.functional.tests.constants import (
MODULE_NAME,
CTR_ENTITIES_LIMIT
)
@pytest.mark.parametrize(
'observable, observable_type',
(('a23-38-112-137.deploy.sta... |
from quart import Quart
from db import Session
from blueprints import auth_blueprint, websockets_blueprint
app = Quart(__name__)
app.register_blueprint(auth_blueprint)
app.register_blueprint(websockets_blueprint)
@app.teardown_appcontext
async def teardown_db(resp_or_exc):
Session.remove()
app.run() |
def remove_all_occurences(list, remove_value):
return None
def is_leap(list, remove_value):
return None
def add(a, b):
return None
def g(list, remove_value):
return None
def t(list, remove_value):
return None
print(2 in [1,2])
def if_funtion():
if 2 in [1,2]:
return True
print(i... |
# -*- coding: utf-8 -*-
# @Time : 2017/12/17 12:47
# @Author : Xiaofeifei
# @File : evaluation.py
from sklearn.metrics import roc_auc_score, average_precision_score, roc_curve, confusion_matrix, precision_recall_curve
import numpy as np
import matplotlib.pyplot as plt
import itertools
def auc(y_true, y_pred):... |
def args(method):
pass
def fred(method):
breakpoint()
args_ = method() # noqa
|
#!/usr/bin/env python2
"""
This is a template file of abt command
"""
import argparse
import abt.cli as cli
import abt.rpc_client as client
if __name__ == '__main__':
parser = argparse.ArgumentParser(prog=cli.progname, description=__doc__.strip())
parser.add_argument('arg1', action='store', help="balabalah")... |
from cms.admin.placeholderadmin import PlaceholderAdminMixin
from django.contrib import admin
from .models import AppTemplate
@admin.register(AppTemplate)
class AppTemplateAdmin(PlaceholderAdminMixin, admin.ModelAdmin):
list_display = ('date', 'title', 'published', )
fieldsets = (
('', {
... |
#Faça um programa que mostre a tabuada de vários números, um de cada vez,
#para cada valor digitado pelo usuário.
#O programa será interrompido quando o número solicitado for negativo.
cont = 1
c = 1
print('\033[37mCaso digite um número negativo o programa será encerrado.\033[m')
while True:
num = int(input('\033[1... |
###############################################################################
# Core Python Wrapper for RP1210 dlls
###############################################################################
from struct import pack, unpack
from ctypes import windll, byref, c_char_p, c_int, c_short, c_long, c_void_p, create_str... |
# Beautiful Soup 4で「技評ねこ部通信」を取得
import requests
from bs4 import BeautifulSoup
r = requests.get('http://gihyo.jp/lifestyle/clip/01/everyday-cat')
soup = BeautifulSoup(r.content, 'html.parser')
title = soup.title # titleタグの情報を取得
print(type(title)) # オブジェクトの型は Tag 型
# <class 'bs4.element.Tag'>
print(title) # タイトルの中... |
import FWCore.ParameterSet.Config as cms
# Single muon for Wjets
isomuons = cms.EDFilter(
"MuonSelector",
src = cms.InputTag('muons'),
cut = cms.string("(isTrackerMuon) && std::abs(eta) < 2.5 && pt > 9.5"+#17. "+
"&& isPFMuon"+
"&& globalTrack.isNonnull"+
... |
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for L{twisted.trial._dist.disttrial}.
"""
import os
import sys
from twisted.internet.protocol import Protocol, ProcessProtocol
from twisted.internet.defer import fail, gatherResults, maybeDeferred, succeed
from twisted.internet.task im... |
import numpy as np
import tensorflow as tf
import keras
from keras.datasets import mnist
from keras.layers import Dense, Flatten, Dropout
from keras.layers import Conv2D, MaxPooling2D
from keras.models import Sequential
import matplotlib.pylab as plt
import load_data as ld
from keras.callbacks import TensorBoard
tenso... |
from hashlib import sha256
from chinilla.types.blockchain_format.sized_bytes import bytes32
def std_hash(b, skip_bytes_conversion: bool = False) -> bytes32:
"""
The standard hash used in many places.
"""
if skip_bytes_conversion:
return bytes32(sha256(b).digest())
else:
return byt... |
# -*- coding: utf-8 -*-
from gluon.contrib.appconfig import AppConfig
myconf = AppConfig(reload=True)
db = DAL(myconf.take('db.uri'), pool_size=myconf.take('db.pool_size', cast=int), check_reserved=['all'])
dboee = DAL('sqlite://oee.db', pool_size=0, migrate=False)
response.generic_patterns = ['*'] if reques... |
from unet_stylegan2.unet_stylegan2 import Trainer, StyleGAN2, NanException |
#
# 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... |
import numpy as np
from sklearn.metrics import (
precision_score,
recall_score,
accuracy_score,
f1_score,
roc_auc_score,
)
from typing import Dict
import tensorflow.keras.metrics as metrics
from typing import List
def get_metrics(y_pred: np.ndarray, y_actual: np.ndarray) -> Dict[str, float]:
m... |
from collections import defaultdict
from datetime import datetime, timedelta
import operator
from pathlib import Path
from pprint import pprint
import sys
from types import MappingProxyType
from zipfile import ZipFile, ZIP_LZMA
import django
from django.conf import settings
from django.contrib.auth import get_user_mod... |
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import numpy as np
import pandas as pd
from tqdm import tqdm
import os
from io import open
import hashlib
import argparse
from transformers import get_linear_schedule_with_warmup
from layers import RNNModel, AWDLSTMEncoder,... |
import os
import sys
import shutil
import platform
print('!!!!!!!!!! WARNING !!!!!!!!!!')
print('You should use GenerateADISymlinks instead.')
print('To force continue type \'yes\':')
if(input() == 'yes'):
print('Continuing')
else:
print('Exiting')
sys.exit()
env = platform.system()
print('OS: ' + env)
d... |
"""
Render service to render previews of materials
"""
from __future__ import print_function
import sys
import socket
import time
import pickle
from threading import Thread
from panda3d.core import load_prc_file_data, Vec4, Filename, Mat4, Notify
from panda3d.core import CS_zup_right, CS_yup_right... |
__all__ = ['itur_test', 'ITU_validation_report_test', 'ITU_validation_test', 'examples_test']
|
import tensorflow.compat.v1 as tf
try:
from .tokenizer_utils import get_tokenizer
except ImportError:
from tokenizer_utils import get_tokenizer
import json
from pathlib import PurePath, Path
import cv2
from tqdm import tqdm
import glob
import random
import os
import shutil
def dump_jsonl(data, output_path, ap... |
#!/usr/bin/env python
# coding: utf-8
# # mnist-cnn
# Let's build a super basic Convolutional Neural Network(CNN) to classify MNIST handwritten digits! We'll be using pytorch to specify and train our network.
# ## Setup
# In[ ]:
import matplotlib.pyplot as plt
import numpy as np
# In[ ]:
import torch
import t... |
# -*- coding: utf-8 -*-
class Node:
"""
A class to represent the nodes in SCRDR tree
"""
def __init__(self, condition, conclusion, father = None, exceptChild = None, elseChild = None, cornerstoneCases = [], depth = 0):
self.condition = condition
self.conclusion = conclusion
sel... |
import primes
import time
class Timer(object):
def __enter__(self):
self.start = time.clock()
return self
def __exit__(self, exception_type, exception_value, traceback):
self.end = time.clock()
self.interval = self.end - self.start
if __name__ == '__main__':
n = 39916801
... |
from .AsynchronousStatus import *
from .SynchronousStatus import *
from .errors import *
__name__ = "danbot-status"
__version__ = "0.1.1"
__author__ = "VineyS"
__license__ = "MIT"
|
import re
import requests
import json
from AnimusExceptions import *
class AnimusGenericLog:
################################
# Description:
# Initializer for the AnimusGenericLog object. Pass it a fileName and it will handle
# reduction for generic logs.
#
# Params:
# logfile - The... |
import base64
import uuid
def base64_uuid4():
"""
Return a base64 encoded uuid4
"""
base64_encoded = base64.urlsafe_b64encode(uuid.uuid4().bytes)
base64_encoded = base64_encoded.decode("utf-8")
return base64_encoded.rstrip("=")
|
"""
TR 64 specific actions
~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2015 by Benjamin Pannier.
:license: Apache 2.0, see LICENSE for more details.
"""
from .lan import Lan, HostDetails, EthernetInfo, EthernetStatistic
from .system import System, SystemInfo, TimeInfo
from .wan import Wan, WanLinkInfo, WanLinkProperties... |
import numpy as np
import gym
class DQN:
def __init__(self, env_name):
self.env = gym.make(env_name)
def run(self):
play(self.env, zoom=4)
test_class = DQN('SpaceInvaders-v0')
test_class.run()
|
'''
This agent is a base agent that works under the architecture defined in the documentation.
We are using this base agent to implement a lot of different RL algorithms.
We will maintain updated this base agent with the goal of keeping the balance between flexibility and comfortability.
'''
from .knowled... |
import pandas as pd
import glob, re, os
import click
def split_lines(text):
text = [' '.join(i.split()) for i in re.split(r'\n{2,}', text)]
text = [i for i in text if i]
return text
def get_num(txt):
return int(re.findall(r'\d+', txt)[0])
def get_ref(txt):
return int(re.findall(r'\d+', txt)[1])
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 17 11:35:43 2020
@author: willi
"""
import re
import time
import os
import numpy as np
from . import CodonDictionaries
from . import FileParser
from . import poi as POI
try:
from Bio import SeqIO
from Bio import Entrez
except:
print('BioPython is not install... |
import numpy as np
import gc
import time
import cv2
class database:
def __init__(self, params):
self.size = params['db_size']
self.img_scale = params['img_scale']
self.states = np.zeros([self.size,84,84],dtype='uint8') #image dimensions
self.actions = np.zeros(self.size,dtype='float32')
self.terminals = np.... |
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