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# Copyright 2018 - Nokia Corporation
# Copyright 2014 OpenStack Foundation
#
# 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 require... |
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... |
import pybreaker
import os
import json
import logging
from urllib3.util.url import get_host
from .exceptions import ApiCircuitBreakerError, CustomHttpCircuitBreakerError
import newrelic.agent
import socket
class MonitorListener(pybreaker.CircuitBreakerListener):
def __init__(self):
self.event_name = "cir... |
import os
from cStringIO import StringIO
import tarfile
import numpy as np
from . import get_data_home
from tools import download_with_progress_bar
TARGETLIST_URL = ("http://www.astro.washington.edu/users/ivezic/"
"linear/allDataFinal/allLINEARfinal_targets.dat")
DATA_URL = ("http://www.astro.washi... |
# -*- coding: utf-8 -*-
import logging
import warnings
from quixote.errors import TraversalError
from vilya.models.project import CodeDoubanProject
from vilya.models.pull import PullRequest, merge_pull, close_pull
from vilya.models.ticket import Ticket, TicketComment, TicketCommits
from vilya.libs.api_errors import ... |
import os,csv,re,jieba, math
import jieba.posseg as pseg
from os import walk
def sentlist(in_fname):
f = open(in_fname, mode='r', encoding = 'utf-8-sig', errors='ignore')
# each sentance
s = []
# total sentances
sentls = []
for sents in f.read().split(' '):
# replace \ufeff
sents = sents.repl... |
from __future__ import print_function
import maya.cmds as cmds
import maya.mel as mel
from functools import partial
import csv
import os
import pprint
iconPath = os.path.join(os.path.dirname(__file__),'icon')
manualPath = os.path.join(os.path.dirname(__file__),'manual')
def refreshNS(*args):
nsLst = [i fo... |
# -*- coding=utf-8 -*-
#!/usr/bin/python3
import sys
import os, argparse
import json
import xml.etree.ElementTree as ET
# 检测框的ID起始值
START_BOUNDING_BOX_ID = 1
# 类别列表无必要预先创建，程序中会根据所有图像中包含的ID来创建并更新
#PRE_DEFINE_CATEGORIES = {}
# If necessary, pre-define category and its id
#PRE_DEFINE_CATEGORIES = {"aeroplane": 1, "bicyc... |
import random
import pytest
from notcallback.async_ import Promise
from notcallback.exceptions import PromiseRejection
from notcallback.promise import FULFILLED, PENDING, REJECTED
from .suppliers import simple_resolve
pytestmark = pytest.mark.filterwarnings('ignore::notcallback.exceptions.UnhandledPromiseRejectionW... |
import base64
from collections import OrderedDict
from itertools import islice
import json
import os
import random
import re
import attr
import jinja2
from .io import TensorflowDatasetExporter, TensorflowDatasetImporter
dir_path = os.path.dirname(os.path.realpath(__file__))
TEMPLATE_FILE = 'via-2.0.6.html'
ANNOTATI... |
# -*- coding: utf-8 -*-
from django.conf import settings
from django.contrib.contenttypes.fields import GenericRelation
from django.db import models
from django.urls import reverse
from django.utils.functional import cached_property
from django.utils.timezone import now
from autoimagefield.fields import AutoImageField... |
"""
Provides enhanced email messaging such as mutlipart html/text emails.
"""
import re
from django.conf import settings
from django.core import mail as django_mail
from django.core.mail.message import EmailMultiAlternatives
from django.utils.html import strip_tags
INVISIBLE_HTML_TAGS = ('head', 'style', 'script', 'o... |
# Copyright 2019 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... |
from collections import namedtuple
from string import Template
import cupy, torch
import cupy as cp
import torch
from torch import nn
from torch.autograd import Function
from utils.roi_cupy import kernel_backward, kernel_forward
import warnings
warnings.filterwarnings("ignore")
class VGG16RoIHead(nn.Modul... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from typing import List
import torch
import torch.nn.functional as F
from torch import Tensor
@torch.jit.script
def _get_edge_kernel() -> Tensor:
d_kernel = torch.tensor(
[
[1, 0],
[0, -1],
],
dtype=torch.float,
).... |
import os
import typing as t
import logging
import secrets
import threading
import contextlib
from typing import TYPE_CHECKING
from datetime import datetime
from datetime import timezone
from functools import wraps
from functools import lru_cache
import attr
import requests
from simple_di import inject
from simple_di ... |
"""
Linked layer structure.
"""
from __future__ import absolute_import, unicode_literals
import attr
import io
import logging
from psd_tools.constants import LinkedLayerType
from psd_tools.psd.base import BaseElement, ListElement
from psd_tools.psd.descriptor import DescriptorBlock
from psd_tools.validators import in_... |
from datetime import date, datetime
from yamale import validators as val
def test_validator_defaults():
"""
Unit test the dictionary of default validators.
"""
assert val.DefaultValidators[val.String.tag] is val.String
assert val.DefaultValidators[val.Any.__name__] is val.Any
def test_equality()... |
""" FastEstimator Apphub parser """
import glob
import inspect
import json
import os
import pydoc
import re
import subprocess
import sys
import tempfile
re_sidebar_title = '[^A-Za-z0-9:!,$%.() ]+'
re_route_title = '[^A-Za-z0-9 ]+'
re_url = '\[notebook\]\((.*)\)'
apphub_md_dir = 'apphub_md'
tmp_markdown = os.path.join... |
import asyncio
import numpy as np
from bokeh.plotting import Figure
from entropylab.graph_experiment import (
Graph,
PyNode,
pynode,
GraphExecutionType,
SubGraphNode,
)
async def a():
rest = 0.001
print(f"Node a resting for {rest}")
await asyncio.sleep(rest)
print(f"Node a finish... |
"""
symbol_cache
---------
symbol cache management
"""
import pandas as pd
import numpy as np
import pandas_datareader.data as pdr
from pandas_datareader._utils import RemoteDataError
from yahooquery import Ticker
from pathlib import Path
import datetime
import sys
import os
import brownbear as bb
###################... |
#!/usr/bin/env python
#python imports
from falconpy.hosts import Hosts
from falconpy.oauth2 import OAuth2
from falconpy.api_complete import APIHarness
import json
import logging
import sys
#local imports
from Send2HumioHEC import Send_to_HEC as humio
import CrowdStrikeDevices2HumioConfig as config
def main():
c... |
# Copyright 2020 The Flax 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 wr... |
# -*- coding: utf-8 -*-
"""
Utilities that assist in dictionary manipulation
Created on Thu Jul 7 21:14:25 2020
@author: <NAME>
"""
from __future__ import division, print_function, unicode_literals, absolute_import
import sys
from warnings import warn
import math
if sys.version_info.major == 3:
unicode = str
... |
'''Train CIFAR10 with PyTorch.'''
import torch.optim as optim
import torch.cuda
import torch.backends.cudnn as cudnn
import torch.utils.data
from datasets.dataloader import get_data
import os
from utils.argument import get_args
from utils.metric import MultiLabelAcc, AverageMetric
from utils.loss import CostLoss
from ... |
# Python interface to CEA (Chemical Equilibrium with Applications)
# Authors: <NAME>, <NAME>, <NAME>, <NAME>, <NAME>
# Original interface code written by <NAME>
# Project Caelus, 04 February 2021
import os
import shutil
import sys
import csv
import math
import numpy as np
import time
import subprocess
import threadin... |
import os
import sys
from PIL import Image
import numpy as np
import matplotlib.image as img
import matplotlib.pyplot as plt
import cv2
import tqdm
def get_labels_from_json(dir_labels, dir_annotated, format="tif", no_label=False):
if not os.path.exists(dir_labels):
print("New Label Directory:", dir_labels... |
# coding=utf-8
import argparse
"""
import tensorflow as tf
import tensorflow_hub as hub
class TextEmbedder:
embedder = None
def __init__(self):
embedder = hub.Module("https://tfhub.dev/google/universal-sentence-encoder/2")
def embed(texts):
similarity_input_placeholder = tf.placeholder(t... |
from __future__ import print_function, absolute_import, division
from future.builtins import *
from future import standard_library
standard_library.install_aliases()
# Copyright 2017 Autodesk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with t... |
import numpy as np
import matplotlib.pyplot as plt
import h5py
import torch
import os
from klampt.model.trajectory import Trajectory
from klampt.io.loader import save
from pdb import set_trace
def plot_pushing_error(bg, max_horiz=100):
test_data = bg.T.MTEST
test_ans = bg.MTestAnswers
test_structures = bg.... |
import torch
import torch.utils.data as torch_data
import os
class dataset(torch_data.Dataset):
def __init__(self, src1, src2,src3, tgt, tgtv,tgtpv):#raw_src1, raw_src2, raw_src3, raw_tgt):
self.src1 = src1
self.src2 = src2
self.src3 = src3
self.tgt = tgt
self.tgtv = tgtv
... |
#!/usr/bin/env python
# Copyright 2012 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 law o... |
import argparse
from collections import defaultdict
from nltk import word_tokenize
import os
import pandas as pd
import torch
from transformers import (
MarianTokenizer,
MarianMTModel,
)
def load_data(args):
""" Load data from tsv into pd.DataFrame """
df = pd.read_csv(args.input_file, delimiter="\t")... |
import torch
import torch.nn as nn
import torchvision.models
import torch.nn.functional as F
from sklearn.cluster import KMeans
from sklearn.metrics.pairwise import cosine_similarity
from models.backbones import *
from models.senet import *
from models.activation import *
from models.layers import *
'''
Modified bac... |
from optimizers import Adam
from utils import *
from shared_noise import *
from experiments import get_experiment
import ray
import gym
import parser
import argparse
import numpy as np
import pandas as pd
import os
import socket
@ray.remote
class Worker(object):
def __init__(self, env_seed, env_na... |
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic.base import ContextMixin, View
from django.views.generic import CreateView, UpdateView, DeleteView
from history.models import ParamHistory, Param
from children.models import Child
from history.forms import HistoryForm
from django.forms ... |
import pandas as pd
import pytest
from toolz import merge
from ..testing_utils import make_ecommerce_entityset
from featuretools.entityset import Timedelta
from featuretools.exceptions import NotEnoughData
from featuretools.primitives import Count # , SlidingMean
from featuretools.utils.wrangle import _check_timedel... |
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 10 09:24:24 2019
@author: Dror
"""
import numpy as np
from gensound.utils import isnumber
midA = 440
octave = 2
semitone = np.power(octave, 1/12)
cent = np.power(semitone, 1/100)
logSemitone = lambda k: np.log(k)/np.log(semitone)
midC = lambda s: midA*semitone**(-9+s... |
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from builtins import zip
from past.utils import old_div
from .asift import affine_detect, init_feature, filter_matches, explore_match
from .common import Timer
from tests.tesisfunctions import Plotim,overlay
i... |
from datetime import datetime
from django.core.exceptions import (
ImproperlyConfigured, SuspiciousFileOperation,
)
from django.core.files.base import ContentFile, File
from django.test import TestCase
from django.utils.six import BytesIO
from storages.backends import dropbox
try:
from unittest import mock
e... |
from django import forms
from django.conf import settings
from directory_validators.common import not_contains_url_or_email
from directory_validators.company import no_html
from .generics.forms import DITHelpForm, DITHelpModelForm
from .meta import choices, label, help_text, placeholder, validation
from .models import... |
"""
Client for tdm-pilot.org.
This project is in a pilot stage and functionality may change.
"""
import logging
import glob
import gzip
import json
import os
import sys
import zipfile
from pathlib import Path
import time
from urllib.request import urlretrieve
import progressbar
import requests
from IPython.core.dis... |
import socket
import asyncio
import struct
import cv2
import pickle
import numpy as np
from datetime import datetime
import threading
import io
try:
from picamera.array import PiRGBArray
from picamera import PiCamera
except:
pass
buffer_size = 4096
class AsyncServer:
def __init__(self, host: str, po... |
import torch
import torch.nn as nn
import numpy as np
from model import CAEP
from utils import Kodak,GeneralDS,compute_bpp
from torchvision.utils import make_grid, save_image
from torch.utils.data import DataLoader
import pytorch_msssim
import time
from torch.utils.data.sampler import SequentialSampler
SSIM = pytorch_... |
# -*- coding: utf-8 -*-
"""
Fill data into an auxiliary patent database
"""
from __future__ import print_function
import sys
from optparse import OptionParser
import psycopg2
from cnsipo.shared import get_logger
from cnsipo.patent_parser import PatentParser
logger = get_logger()
APP_NO = 'app_no'
APP_YEAR = 'app... |
#coding:utf-8
import tensorflow as tf
from tensorflow.python.platform.flags import FLAGS
from SSD_Net import *
from build_loss import *
import common_flags
import variables_collection
from read_data import data_reader
import numpy as np
import sys
from utils import *
import cv2
def box_scale(k):
s_min = 0.1
s_... |
import argparse
import ctypes
import io
import logging
import os
import platform
import subprocess
import sys
from traceback import format_exc
from botocore.exceptions import ClientError
from paramiko.rsakey import RSAKey
from .aws import AwsClient
from .config import Config
from .error import VpnSwapperException
fro... |
from timm.models.layers import drop_path
from ofa.imagenet_codebase.modules.layers import *
from ofa.layers import set_layer_from_config, MBInvertedConvLayer, ConvLayer, IdentityLayer, LinearLayer
from ofa.imagenet_codebase.utils import MyNetwork, make_divisible
from ofa.imagenet_codebase.networks.proxyless_nets import... |
import logging
import time
from pathlib import Path
import os
import torch
from utils.miou import compute_mean_ioU_file
import numpy as np
from PIL import Image
import numpy as np
import torchvision
def create_logger(cfg,phase = 'train'):
log_dir = Path(cfg.DIR.LOG)
out_dir = Path(cfg.DIR.OUTPUT)
vis_di... |
import asyncio
import json
import logging
from typing import Optional, List
import aiohttp
import elasticsearch
from aiohttp import RequestInfo, BaseConnector
from aiohttp.client_proto import ResponseHandler
from aiohttp.helpers import BaseTimerContext
from multidict import CIMultiDictProxy, CIMultiDict
from yarl impo... |
import sys
import requests
import pandas as pd
from datetime import datetime
extraction_date = datetime.today().strftime("%Y%m%d_%H%M%S")
HEADERS = {
"accept": "application/json; charset=utf-8",
"accept-encoding": "gzip, deflate, br",
"accept-language": "de-DE,de;q=0.9,en-US;q=0.8,en;q=0.7",
"conte... |
# -*- coding: utf-8 -*-
import logging
logger = logging.getLogger("sdata")
import os
import uuid
from sdata import Data
import pandas as pd
class VaultIndex():
"""Index of a Vault
"""
INDEXDATAFRAME = "indexdataframe"
def __init__(self):
"""Vault Index
"""
self._df = pd.Dat... |
""" BigQuery helper functions
Ported from 2018 Beacons study Jupyter Notebook
"""
import time
import collections
import pandas as pd
from google.cloud import bigquery
global project, dataset
project='mlab-sandbox'
dataset='mattmathis'
DefaultArguments = {
'verbose_errors':True,
'maxdepth':4,
'project':pr... |
# Copyright European Organization for Nuclear Research (CERN)
#
# 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
#
# Authors:
# - <NAME>, <<EMAIL>>, ... |
"""
GTSAM Copyright 2010-2019, Georgia Tech Research Corporation,
Atlanta, Georgia 30332-0415
All Rights Reserved
See LICENSE for the license information
CustomFactor demo that simulates a 1-D sensor fusion task.
Author: <NAME>, <NAME>
"""
from functools import partial
from typing import List, Optional
import gtsam... |
# -*- coding: utf-8 -*-
# (c) 2021, <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
import os
import re
import sys
from distutils.version import LooseVersion
from functools import reduce
from andeboxlib.actions.base import AndeboxAction
class IgnoreFileE... |
# Copyright (c) 2018, Palo Alto Networks
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS... |
# -*- coding: utf-8 -*-
# $Id$
# Functionality for managing, as well as loading and saving a dataset
from __future__ import absolute_import
import logging
import xml.sax as sax
class XMLException(Exception):
"""The base class for all XML parser exceptions. These are caught by some
content handlers and augmen... |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
"""A Plugin to tagall in the chat for @UniBorg and cmd is `.all`"""
import asyncio
import random
import re
from userbot... |
#!/usr/bin/env python
import argparse
import os
import pickle
import ray.rllib.agents.ppo as ppo
from ray.rllib.models import ModelCatalog
from ray.tune.registry import register_env
from scenario import FactoredModel
from scenario import PathPlanningModel
# from ray.rllib.utils.space_utils import flatten_to_single_... |
#!/usr/bin/env python
import logging
import numpy as np
import theano
from argparse import ArgumentParser
from theano import tensor
from skimage.transform import rotate
from blocks.bricks import MLP, Identity, Tanh, Logistic, Rectifier
from blocks.bricks.recurrent import SimpleRecurrent
from blocks.algorithms import... |
import atexit
import hashlib
import hmac
import re
import os
import sys
import time
import typing as t
from datetime import datetime, timedelta
import click
import requests
from loguru import logger
from pytz import utc
from urllib.parse import urlencode, urljoin
from . import notifiers
from .util import read_config,... |
#!/usr/bin/python
import sys, getopt, os, json
import datetime, time
def print_help_and_exit(exit_code,exit_msg=''):
if exit_msg == '':
print('test.py -i <inputfile> -o <outputfile>')
else:
print(exit_msg)
sys.exit(exit_code)
def process_results(directory, failed_list, broken_list, skippe... |
from astropy.coordinates import SkyCoord
from astropy import units as u
def sex2deg(ra, dec):
"""
Convert sexagesimal coordinates to degrees.
sex2deg( ra, dec)
Args:
ra: the right ascension in HH:MM:SS
dec: the declination in DD:MM:SS
"""
c = SkyCoord( ra, dec, frame='icrs', un... |
import detectron2
from detectron2.utils.logger import setup_logger
setup_logger()
# import some common libraries
import numpy as np
import cv2
import random
# import some common detectron2 utilities
from detectron2 import model_zoo
from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
f... |
from copy import copy
from typing import Union, List
from .layers import Layer, ConstantLayer, AmbientLayer, Substrate
class MultilayerStructure:
"""Defines the structure of a multilayer sample through one or multiple :class:`Layer` objects and an ambient SLD.
Initializes with a default ambient and substrat... |
import asyncio
import os
import subprocess
import tempfile
from pathlib import Path
from .version import VERSION
__all__ = [
'AsyncPydf',
'generate_pdf',
'get_version',
'get_help',
'get_extended_help',
]
THIS_DIR = Path(__file__).parent.resolve()
WK_PATH = os.getenv('WKHTMLTOPDF_PATH', str(THIS_D... |
import os
import sys
from pathlib import Path
import click
from typing import Dict, List
builtin_cmd_folder = Path(__file__).parents[0].joinpath('cmd').absolute()
builtin_migration_folder = Path(__file__).parents[0].joinpath('migration').absolute()
def find_dotbldr_dir(here: Path = None) -> Path:
return find_par... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... |
#usr/bin/env python
#-*- coding:utf-8- -*-
import pygame
import random
from constants import *
pygame.init() # pygame初始化，必须有，且必须在开头
font = pygame.font.Font("./font/simkai.ttf", 20)
bigfont = pygame.font.Font("./font/simkai.ttf", 30)
class DigitalBubble:
speed = 2 # 速度
color = COLORS["bubble"]
def __i... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re, subprocess, os, sys, argparse
def parse_atoms(arr):
pattern_atom = re.compile(r"([0-9]{1,})\s{1,}([a-zA-Z]{1,})\s{1,}([0-9\.+-]{1,})\s{1,}([0-9\.+-]{1,})\s{1,}([0-9\.+-]{1,})")
res = []
for line in arr:
pm = pattern_atom.match(line)... |
#!/usr/bin/env python3
# Copyright (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 applicab... |
# Copyright 2004-2008 <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)
import os
import types
from pyplusplus import decl_wrappers
from pyplusplus import code_repository
class code_creator_t(object):
""... |
# coding: utf-8
"""封装常用的设计模式以及对内置函数和方法进行约定性的简化
"""
import types
import inspect
from functools import wraps
from girlfriend.exception import GirlFriendSysException
_singletons = {}
def singleton(clazz):
"""单例修饰器，被修饰的类在系统中都是单例的
非线程安全，请勿用在多线程环境当中
"""
@wraps(clazz)
def constructor(*args, **kws)... |
#!/usr/bin/env python3
"""
This program plays a game of Rock Paper Scissors Spock Lizard
between two players, and reports both player's scores each round.
It allows the user to select one of 5 different player types for
each competitor.
"""
import random
import time
moves = ["scissors", "paper", "rock", "lizard", "S... |
from bitcoin import bip32, script
from binascii import unhexlify, hexlify
from errors import BaseError
class ScriptError(BaseError):
NAME = "Script error"
class DescriptorScript:
def script(self, derivation):
raise WalletError("Not implemented")
def get_keys(self):
raise WalletError("No... |
# Copyright 2015-2021 SWIM.AI 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 ... |
import os
import datetime
import numpy as np
import tensorflow as tf
from sacred import Experiment
from sacred.observers import FileStorageObserver, RunObserver
from deep_rlsp.model import LatentSpaceModel, InverseDynamicsMDN
from deep_rlsp.run import get_problem_parameters
# changes the run _id and thereby the pat... |
# -*- coding: utf-8 -*-
#~ from __future__ import (unicode_literals, print_function, division, absolute_import)
import numpy as np
import matplotlib.cm
import matplotlib.colors
from .myqt import QT
import pyqtgraph as pg
from .base import BaseMultiChannelViewer, Base_MultiChannel_ParamController
from .datasource i... |
#!/usr/bin/env python3
#
## @file
# edk_manifest_validation.py
#
# Copyright (c) 2018- 2019, Intel Corporation. All rights reserved.<BR>
# SPDX-License-Identifier: BSD-2-Clause-Patent
#
import os
import argparse
import unicodedata
import sys
import traceback
from edkrepo_manifest_parser.edk_manifest im... |
import pandas as pd
import numpy as np
from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.optimizers import Adam
import tensorflow as tf
from keras import backend as K
# turnLeft: 1000
# turnRight: 1000
import matplotlib.p... |
from collections import defaultdict
from urllib.parse import urlparse
from datetime import datetime, timedelta
import pymysql
import html2text
import subprocess
import yaml
h = html2text.HTML2Text()
full_html_str = ''
num_for_each_category = 10
with open('config.yml', 'r') as config_file:
config = yaml.load(conf... |
import numpy as np
import scipy as sp
import pandas as pd
import h5py
#from pyminc.volumes.factory import *
import os
from re import sub
from sys import argv, exit
from os.path import basename, exists, splitext
from os import makedirs
from set_images import *
from utils import *
def adjust_batch_size(n1, n2, batch_siz... |
import datetime
from ietf.utils import unaccent
from ietf.person.models import Person, Email, Alias
from ietf.doc.models import NewRevisionDocEvent
from ietf.idtracker.models import EmailAddress
def clean_email_address(addr):
addr = addr.replace("!", "@").replace("(at)", "@") # some obvious @ replacements
# w... |
#
# Imports
#
from forms import *
from models import *
from flask_table import Table, Col, LinkCol
from flask import render_template, request, redirect, url_for, jsonify, flash
#
# Edit Research table class
#
class WriteActuatorTable (Table):
classes = ['table']
id = Col('Id', show = False)
identificac... |
"""
This file implements unit tests for several of the ConsumptionSaving models in HARK.
These tests compare the output of different models in specific cases in which those models
should yield the same output. The code will pass these tests if and only if the output is close
"enough".
"""
from __future__ import print... |
from collections import OrderedDict
import torch
from torch import nn, nn as nn
from torch.nn import functional as F
def default_norm_layer(planes, groups=16):
groups_ = min(groups, planes)
if planes % groups_ > 0:
divisor = 16
while planes % divisor > 0:
divisor /= 2
... |
import json
import flask
import os
import yum.account as acc
import yum.CONSTANTS as CONST
from yum import Parser, food, state
from yum.Guest import Guest
from .cli import cli
from click._unicodefun import click
from flask import request
class YumWeb(flask.Flask):
"""
Represents web part of the application - ... |
import pytest
from airbyte_dto_factory import *
from airbyte_config_model import *
@pytest.fixture
def dummy_source_dto():
"""
Creates a dummy SourceDto
"""
source = SourceDto()
source.source_definition_id = 'ef69ef6e-aa7f-4af1-a01d-ef775033524e'
source.source_id = '7d95ec85-47c6-42d4-a7a2-8e5c... |
import re
import json
import types
valid_names = re.compile(r'^[a-zA-Z0-9]+$')
def encode_to_dict(obj):
if hasattr(obj, 'to_dict'):
# Calling encode_to_dict to ensure object is
# normalised to a base dictionary all the way down.
return encode_to_dict(obj.to_dict())
elif isinstance(obj... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 12 00:17:13 2021
@author: alankar
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from scipy.integrate import solve_ivp
import h5py
import sys
from scipy import interpolate
import sys
from decimal impor... |
""" MAFIA: A Maximal Frequent Itemset Algorithm (Without any optimization)
Reference:
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases
- <NAME>, <NAME>, <NAME> (Department of CS, Cornell University)
"""
import numpy as np
from functools import lru_cache
class TransVerticalBitmaps:
""" Sto... |
# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*-
# ex: set expandtab softtabstop=4 shiftwidth=4:
#
# Copyright (C) 2009,2013 Contributor
#
# 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
#... |
"""
Code in this file deals with the data from the
Milky Way Project First Data Release
"""
import os
import cPickle as pickle
import numpy as np
import h5py
from cloud import bucket, running_on_cloud
from .util import overlap
from .field import get_field
def _has_field(lon):
"""Return True if image data exists... |
from rekall import Interval, IntervalSet, IntervalSetMapping, Bounds3D
from rekall.predicates import *
from vgrid import VGridSpec, VideoMetadata, VideoBlockFormat, FlatFormat, SpatialType_Bbox, SpatialType_Keypoints, Metadata_Keypoints
from vgrid_jupyter import VGridWidget
import os, json
import pandas as pd
from cons... |
"""
Pytorch implementation of the supervised part of:
"Vector-based navigation using grid-like representations in artificial agents" (Banino et al., 2018)
<NAME>, 2019
"""
import torch
from torch import nn
import numpy as np
def truncated_normal_(tensor, mean=0, std=1):
# https://discuss.pytorch.org/... |
from oslo_db import exception as db_exc
from oslo_db.sqlalchemy import session as db_session
from oslo_db.sqlalchemy import utils as db_utils
from oslo_log import log
from oslo_utils import importutils
from oslo_utils import strutils
from oslo_utils import timeutils
from oslo_utils import uuidutils
from sqlalchemy.orm.... |
import os
import time
import multiprocessing
import numpy as np
from PIL import Image
import tvm
from tvm.contrib.graph_executor import GraphModule
def preprocess(img_data):
mean_vec = np.array([0.485, 0.456, 0.406])
stddev_vec = np.array([0.229, 0.224, 0.225])
norm_img_data = np.zeros(img_data.shape).as... |
# Copyright 2015. 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 applicable la... |
from __future__ import print_function
import sys, gzip, json, uuid
from rdkit import Chem
from sanifix import fix_mol
'''
Log output to STDERR
'''
def log(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
def add_default_io_args(parser):
parser.add_argument('-i', '--input', help="Input SD file, if n... |
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