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the-stack_0_13625 | # coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------... |
the-stack_0_13626 | import os
from indico import IndicoClient, IndicoConfig
# Will connect to https://app.indico.io
client = IndicoClient()
# Environment variables override defaults
os.environ["INDICO_HOST"] = "foo.bar.com"
# Will connect to https://foo.bar.com
client = IndicoClient()
# IndicoConfig will override environment variables... |
the-stack_0_13627 | #!/usr/bin/env python3
import common_test_lib
import os
import subprocess
import argparse
#######################################################################################
# edit test parameters into these lists to run different workloads
ibof_root = os.path.dirname(os.path.abspath(__file__)) + "/../../../"
#... |
the-stack_0_13628 | import gevent
import io
import logging
import re
from datetime import datetime
from gevent import Greenlet, sleep
from gtts import gTTS
from .blob import blobs
from .hashtag import HashtagModel
from .twitter import get
from .tweet import TweetModel
logger = logging.getLogger('umahuesla')
class Crawler(Greenlet):
... |
the-stack_0_13629 | import logging
from ..redislist import RedisDropboxIndexList
from .solrupdater import DropboxSolrUpdater
log = logging.getLogger('dropbox')
class DropboxIndexer:
"""
Read all Dropbox entries stored in Redis for a `bearertoken_id` and send them to Solr.
Parameters:
bearertoken_id -- a `models.Beare... |
the-stack_0_13631 | from math import sqrt
import pytest
import torch
from torch_geometric.testing import withPackage
from torch_geometric.utils import geodesic_distance
@withPackage('gdist')
@pytest.mark.skip(reason="No way of currently testing this")
def test_geodesic_distance():
pos = torch.Tensor([[0, 0, 0], [2, 0, 0], [0, 2, 0... |
the-stack_0_13635 | #
# voter business logic: put commits here
#
import config
from model import Voter
db = config.db
import voter_dao
import user
def insert_voters_array(votation_id, ar):
"""returns number of inserted rows"""
count = 0
for user_name in ar:
u = user.load_user_by_username(user_name)
if u:
... |
the-stack_0_13636 |
import os, pathlib, PIL
from tqdm import tqdm
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.models import Sequential
from tensorflow.keras import Model
from ResNet18 import ResNet18
from ResNet18V2 import ResNet18V2
from tensorflow.keras.applications.... |
the-stack_0_13637 | ###########
# testing #
###########
from exhibitionist.isubscriber import ISubscriber
from exhibitionist.pubsubdispatch import PubSubDispatch
import unittest
import time
import threading
class IOLoopMock(object):
def add_callback(self, callback):
# import random
# time.sleep(random.random()*0.05)... |
the-stack_0_13638 | with open('python.txt') as file_object:
contents = file_object.read()
print(contents.replace('python','java')) #use the replace() method to replace any word in astring with a different word.
#print(contents)
#Reading line by line.
filename = 'python.txt'
with open(filename) as object:
for line in object:
... |
the-stack_0_13639 | import cv2
import numpy as np
cap = cv2.VideoCapture('video.mp4')
while(1):
# Take each frame
frame = cap.read()
print(frame)
# Convert BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
print(hsv)
# define range of blue color in HSV
lower_blue = np.array([110, 50, 50])
upper... |
the-stack_0_13640 | from __future__ import with_statement, absolute_import
import time
from contextlib import closing
import psycopg2
from . import print_row_progress, status_logger
from .postgres_writer import PostgresWriter
class PostgresDbWriter(PostgresWriter):
"""Class used to stream DDL and/or data
from a MySQL server t... |
the-stack_0_13642 | # Copyright 2019 The Meson development team
# 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 ... |
the-stack_0_13643 | #!/usr/bin/python
#
# Copyright 2019 Polyaxon, 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... |
the-stack_0_13644 | from rqt_gui_py.plugin import Plugin
import python_qt_binding.QtGui as QtGui
from python_qt_binding.QtGui import (QAction, QIcon, QMenu, QWidget,
QPainter, QColor, QFont, QBrush,
QPen, QMessageBox, QSizePolicy,
... |
the-stack_0_13646 | """
"""
# Created on 2014.10.05
#
# Author: Giovanni Cannata
#
# Copyright 2014 - 2019 Giovanni Cannata
#
# This file is part of ldap3.
#
# ldap3 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 ... |
the-stack_0_13647 | """
Copyright 2020 The OneFlow 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 applicable law or agr... |
the-stack_0_13648 | import tensorflow as tf
class MultiHeadSelfAttLayer(tf.keras.layers.Layer):
def __init__(self, n_heads, input_size, hidd_size, level):
super(MultiHeadSelfAttLayer, self).__init__()
self.hidd_size = hidd_size
self.n_heads = n_heads
self.w_output = tf.get_variable(name='w_output', sh... |
the-stack_0_13650 | #!/usr/bin/env python3
# Copyright (c) 2014-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the fundrawtransaction RPC."""
from test_framework.test_framework import BitcoinTestFramework
fro... |
the-stack_0_13651 | # Copyright (c) 2014 Intel Corporation.
#
# 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... |
the-stack_0_13653 | # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
# For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt
import viztracer
import subprocess
import os
import time
import sys
import multiprocessing
from viztracer import VizTracer, ignore_function
from .cmdline_tmp... |
the-stack_0_13654 | import setuptools
VERSION = '0.1'
setuptools.setup(
name='TTWeb',
version=VERSION,
description='Web framework for The Tale',
long_description='Web framework for The Tale',
url='https://github.com/Tiendil/the-tale',
author='Aleksey Yeletsky <Tiendil>',
author_email='a.eletsky@gmail.com',
... |
the-stack_0_13655 | # Self Driving Car
# Importing the libraries
import numpy as np
from random import random, randint
import matplotlib.pyplot as plt
import time
# Importing the Kivy packages
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.graphics import Color, Ellipse, Line
fro... |
the-stack_0_13656 | #!/usr/bin/env python3
import json
import os
from os import path
import sys
import zipfile
import hashlib
import urllib.parse
BLOCKSIZE = 65536
def sha256(file):
hasher = hashlib.sha256()
with open(file, 'rb') as afile:
buf = afile.read(BLOCKSIZE)
while len(buf) > 0:
hasher.update... |
the-stack_0_13657 | import click
import click_completion
from .main import completion
@completion.command()
@click.option(
"-i", "--case-insensitive/--no-case-insensitive", help="Case insensitive completion"
)
@click.argument(
"shell",
required=False,
type=click_completion.DocumentedChoice(click_completion.core.shells),... |
the-stack_0_13658 | from __future__ import print_function
import tempfile
import os
import shutil
from b3get.utils import tmp_location
def test_has_tempdir():
assert tempfile.gettempdir()
def test_create_tempdir():
assert tempfile.gettempdir()
tdir = tempfile.mkdtemp()
assert os.path.exists(tdir)
print("\n", tdir)... |
the-stack_0_13659 | import matplotlib.pyplot as plt
import numpy as np
import os
from PIL import Image
os.makedirs("visual", exist_ok=True)
def show_mnist(n=20):
from tensorflow import keras
(x, y), _ = keras.datasets.mnist.load_data()
idx = np.random.randint(0, len(x), n)
x, y = x[idx], y[idx]
n_col = 5
n_row =... |
the-stack_0_13661 | # Copyright 2017 Rice 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 in writin... |
the-stack_0_13662 | # -*- coding:utf-8 -*-
import os
import warnings
import git
import torch
import torchvision.transforms as transforms
import yolov2
import visdom
from yolov2 import detection_loss_4_yolo
from torchsummary.torchsummary import summary
from utilities.dataloader import detection_collate
from utilities.dataloader import V... |
the-stack_0_13665 | from __future__ import unicode_literals
import tablib
from django.test import TestCase
from import_export import instance_loaders
from import_export import resources
from core.models import Book
class CachedInstanceLoaderTest(TestCase):
def setUp(self):
self.resource = resources.modelresource_factory... |
the-stack_0_13667 | # Copyright 2018 Gregory Szorc <gregory.szorc@gmail.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from __future__ import absolute_import
from .node import (
bin,
hex,
)
from .i18n import _
from .thirdparty import (... |
the-stack_0_13668 | #
# findPath.py finds the optimal path, p
#
# create by: Samuel King
#
from . import getRandomData, field, timeCosts
class Path ( field.Field ) :
def __init__ ( self ) :
super( Path, self ).__init__()
self.__finalPathString = []
self.__finalPathCoords = []
self.__overallTimeCost = 0.0
self.__zLen = se... |
the-stack_0_13669 | # -*- coding: utf-8 -*-
#
# 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
#... |
the-stack_0_13671 | #!/usr/bin/env python
import unittest
import socket
from framework import VppTestCase, VppTestRunner
from vpp_ip import DpoProto
from vpp_ip_route import VppIpRoute, VppRoutePath
from scapy.layers.l2 import Ether, Raw
from scapy.layers.inet import IP, UDP, ICMP
from scapy.layers.inet6 import IPv6
class TestMAP(Vpp... |
the-stack_0_13672 | #!/usr/bin/env python3
# -*- coding: utf-8 -*
'''
项目名称: JD-Script / 测试_test
Author: Curtin
功能：邀请5人得60豆（每天最多10次600豆），被邀请完成开卡30豆，一次性任务。ck1助力Author，其他助力ck1
Date: 2021/11/14 下午6:21
TG交流 https://t.me/topstyle996
TG频道 https://t.me/TopStyle2021
cron: 30 6,12,15,20 11-17 11 *
new Env('品牌联合开卡 11.11-11.17');
活动入口：16:/#A5eHpAAyC1... |
the-stack_0_13673 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('course', '0016_flowpagevisitgrade_graded_at_git_commit_sha'),
]
operations = [
migrations.AddField(
model_name='... |
the-stack_0_13675 | from django.shortcuts import render,HttpResponse
from urllib import parse
from apps.test_case.services.HTTP_test_caseService import HTTP_test_caseService
from apps.test_case.services.HTTP_test_case_stepService import HTTP_test_case_stepService
from apps.interface.services.HTTP_interfaceService import HTTP_interfaceServ... |
the-stack_0_13676 | import unittest
from formation import AppBuilder
from formation.tests.support import get_resource
class CanvasTestCase(unittest.TestCase):
builder = None
@classmethod
def setUpClass(cls) -> None:
cls.builder = AppBuilder(path=get_resource("canvas.xml"))
cls.canvas1 = cls.builder.canvas1
... |
the-stack_0_13677 | import numpy as np
from cmath import sqrt
import qutip as qt
from operators import *
tol = 1e-16
def solvePoly(vec):
roots = np.empty(2, dtype=np.complex128)
vec[1]=2*vec[1]
if abs(vec[0]) <= tol:
roots[0] = np.inf
if abs(vec[1]) <= tol:
roots[1] = np.inf
... |
the-stack_0_13680 | # -*- coding: utf-8 -*-
import glob
import os
import codecs
import math
from collections import Counter, defaultdict
from itertools import chain, cycle
import torch
import torchtext.data
from torchtext.data import Field
from torchtext.vocab import Vocab
from onmt.inputters.text_dataset import text_fields, TextMultiF... |
the-stack_0_13681 | # This is the MIT license: http://www.opensource.org/licenses/mit-license.php
#
# Copyright (c) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>.
# SQLAlchemy is a trademark of Michael Bayer.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this
# software and asso... |
the-stack_0_13682 | from NIENV import *
# API METHODS --------------
# self.main_widget
# self.update_shape()
# Ports
# self.input(index)
# self.set_output_val(index, val)
# self.exec_output(index)
# self.create_new_input(type_, label, widget_name=None, widget_pos='under', pos=-1)
# self.delete_input(index)
# self.create_new_output(t... |
the-stack_0_13683 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class GRUCell(nn.Module):
def __init__(self, input_size, hidden_size):
super(GRUCell, self).__init__()
self.hidden_size = hidden_size
# Layers
... |
the-stack_0_13685 | from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
from tqdm.notebook import tqdm
from helpers import count_unique_words, count_unique_ngrams, \
build_unique_ngrams, create_sentence_vectors, c... |
the-stack_0_13687 | from typing import Callable
from urllib.parse import urlunsplit
from .typing import ASGIFramework
from .utils import invoke_asgi
class HTTPToHTTPSRedirectMiddleware:
def __init__(self, app: ASGIFramework, host: str) -> None:
self.app = app
self.host = host
async def __call__(self, scope: dic... |
the-stack_0_13691 | import sys
import logging
import json
from collections import OrderedDict
from redash import settings
logger = logging.getLogger(__name__)
__all__ = [
'BaseQueryRunner',
'InterruptException',
'BaseSQLQueryRunner',
'TYPE_DATETIME',
'TYPE_BOOLEAN',
'TYPE_INTEGER',
'TYPE_STRING',
'TYPE_D... |
the-stack_0_13692 | import summarizer as nlp
import csv
from sklearn.preprocessing import OneHotEncoder
import numpy as np
from collections import defaultdict, Counter
import math
from myfile import *
from googletrans import Translator
# turns .tsv file into list of lists
def tsv2mat(fname) :
with open(fname) as f:
wss = csv.rea... |
the-stack_0_13693 | ###############################################################################
#
# Tests for XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright (c), 2013-2021, John McNamara, jmcnamara@cpan.org
#
from ..excel_comparison_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompar... |
the-stack_0_13694 | from typing import Any, List
import warnings
import numpy as np
from pandas._config import get_option
from pandas._libs import index as libindex
from pandas._libs.hashtable import duplicated_int64
from pandas._typing import AnyArrayLike
from pandas.util._decorators import Appender, cache_readonly
from pandas.core.d... |
the-stack_0_13696 | #!/usr/bin/python
""" PN-CLI vrouter-bgp-add/vrouter-bgp-remove/vrouter-bgp-modify """
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the Lice... |
the-stack_0_13697 |
import tensorflow as tf
from select_threshold_op import SelectThreshold
import numpy as np
import time
# SelectThreshold(x, pl, rowsplits, threshold=0.5)
nvert=10000
nfeat=128
xs = tf.constant(np.random.rand(nvert) ,dtype='float32')
xs = tf.reshape(xs, [-1,1])
rs = tf.constant([0,int(nvert/4),int(nvert/2),nvert],d... |
the-stack_0_13698 | #!/usr/bin/env python3
# Copyright (c) 2015-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test node responses to invalid blocks.
In this test we connect to one node over p2p, and test block re... |
the-stack_0_13701 | from django.conf.urls import url
from . import views
app_name = 'prospecting'
urlpatterns = [
# ex: /prospecting/
url(r'^$', views.IndexView.as_view(), name='index'),
# ex: /prospecting/5/
url(r'^(?P<pk>[0-9]+)/$', views.DetailView.as_view(), name='detail'),
# ex: /prospecting/5/results/
url(r... |
the-stack_0_13702 | from NekoGram import Neko, Bot
import pytest
neko = Neko(bot=Bot(token='0:0', validate_token=False), validate_text_names=False)
@pytest.mark.asyncio
async def test_build_response():
raw_json = '{"x": {"text": "hello"} }'
neko.add_texts(texts=raw_json, lang='en')
data = await neko.build_text(text='x', use... |
the-stack_0_13705 | import torch
import torch.nn as nn
from torch.nn import init
from torchvision import models
from torch.autograd import Variable
import pretrainedmodels
from ghost_net import ghost_net
from torchreid.models import resnet
######################################################################
def weights_init_kaiming(m):... |
the-stack_0_13706 | # Copyright 2013 Nebula 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... |
the-stack_0_13708 | import re
import sys
RE = re.compile(r'-?\d+')
ingredients = []
for line in open(sys.argv[1]).readlines():
ingredients.append([int(v) for v in RE.findall(line)])
def score(amounts):
negative = False
product = 1
for i in range(len(ingredients[0])-1):
iscore = sum([amounts[j]*ingredients[j][i] ... |
the-stack_0_13710 | from django.http import HttpResponse
from django.test import RequestFactory, TestCase
from test.utils import encode_jwt
class TestDecorators(TestCase):
def setUp(self):
self.factory = RequestFactory()
self.private_key = b"""-----BEGIN RSA PRIVATE KEY-----
MIICWwIBAAKBgQDdlatRjRjogo3WojgGHFHYLugd... |
the-stack_0_13712 | import pickle
import sys, os.path
parent_dir = os.path.dirname(os.path.dirname(__file__))
sys.path.insert(0, parent_dir)
from blinker._utilities import symbol
def test_symbols():
foo = symbol('foo')
assert foo.name == 'foo'
assert foo is symbol('foo')
bar = symbol('bar')
assert foo is not bar
... |
the-stack_0_13714 | from collections import defaultdict
from typing import List
import config
def number_game(numbers: List[str], max_turns: int = 2020) -> int:
"""Simulate the number game.
Args:
numbers (List[str]): starting numbers for the game
Returns:
int: the 2020th number spoken
"""
last_tur... |
the-stack_0_13716 | """
Utils function.
"""
import sys
import os
import logging
from glob import glob
def add_pyspark_path_if_needed():
"""Add PySpark to the library path based on the value of SPARK_HOME if
pyspark is not already in our path"""
try:
from pyspark import context
except ImportError:
# We ne... |
the-stack_0_13717 | from django.urls import path
from . import views
urlpatterns = [
path('home',views.index,name="index"),
path('',views.landing,name="landing"),
path('register',views.register,name="register"),
path('logout',views.logout,name="logout"),
path('profile/edit', views.profile, name="profile"),
path('pr... |
the-stack_0_13719 | # coding=utf-8
import datetime
import os
import gym
import numpy
import matplotlib.pyplot as plt
import pandas
from dateutil import relativedelta
from gym import spaces
class FxEnv(gym.Env):
metadata = {'render.modes': ['human', 'ohlc_array']}
def __init__(self):
# 定数
self.STAY = 0
s... |
the-stack_0_13720 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
import tushare_easy
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
'arrow',
... |
the-stack_0_13722 | # Copyright (c) OpenMMLab. All rights reserved.
from .class_names import (cityscapes_classes, coco_classes, dataset_aliases,
get_classes, imagenet_det_classes,
imagenet_vid_classes, voc_classes,
person_classes, triage_classes)
from .eval_hook... |
the-stack_0_13723 | # ******************************************************************************
# Copyright 2017-2019 Intel Corporation
#
# 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.apa... |
the-stack_0_13725 | from core.redis import rds
from core.triage import Triage
from core.parser import ScanParser
class Rule:
def __init__(self):
self.rule = 'CFG_ZEGE'
self.rule_severity = 2
self.rule_description = 'This rule checks for accessible Open API (Swagger) Documentation'
self.rule_confirm = 'Remote Server is ... |
the-stack_0_13727 | """
Copyright (c) 2018-2020 Intel Corporation
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 wri... |
the-stack_0_13728 | # MIT License
#
# Copyright (c) 2020 Yu Zhang
#
# 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, pub... |
the-stack_0_13730 | """Builds the Unlimited Hand - sensor values network. (made from MNIST)
Implements the inference/loss/training pattern for model building.
1. inference() - Builds the model as far as is required for running the network
forward to make predictions.
2. loss() - Adds to the inference model the layers required to generat... |
the-stack_0_13731 | """
Given a string, calculate its length
"""
# Iterative approach
def iterative_length(string):
length = 0
for i in string:
length += 1
return length
print(iterative_length('hello worLd'))
# Recursive approach
def recursive_length(string):
if string == "":
return 0
return 1 + recursive_length(string[1:... |
the-stack_0_13732 | import os
from utils.face_proc import FaceProc
import argparse
import pickle
from forensic_test import exam_img, exam_video
def main(args):
all_paths = os.listdir(args.input_dir)
proba_list = []
# initiate face process class, used to detect face and extract landmarks
face_inst = FaceProc()
# ini... |
the-stack_0_13734 | # Cave factory produces a cave-like structure with no disconnected
# rooms. Caves typically have a smooth, twisty appearance with lots of
# alcoves. This is based largely on the cellular automata examples at:
#
# http://roguebasin.roguelikedevelopment.org
#
# It also borrows code for joining disconnected cells from Da... |
the-stack_0_13735 | #!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team 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-... |
the-stack_0_13738 | import torch
import torch.nn as nn
class Generator(nn.Module):
def __init__(self, channels_noise, features_g=64):
super(Generator, self).__init__()
self.gen = nn.Sequential(
# Input: N x channels_noise x 1 x 1
self._block(channels_noise, features_g * 16, 4, 1, 0), # img: 4... |
the-stack_0_13740 | from typing import Any
from eth_utils import (
encode_hex,
is_bytes,
is_integer,
)
from eth_utils.toolz import curry
from eth_keys.constants import (
SECPK1_N,
)
from eth_keys.exceptions import (
ValidationError,
)
def validate_integer(value: Any) -> None:
if not is_integer(value) or isinsta... |
the-stack_0_13741 | """
Plugin to extract tables from an invoice.
"""
import re
import logging
logger = logging.getLogger(__name__)
DEFAULT_OPTIONS = {'field_separator': r'\s+', 'line_separator': r'\n'}
def extract(self, content, output):
"""Try to extract tables from an invoice"""
for table in self['tables']:
# Fir... |
the-stack_0_13742 | #!/usr/bin/env python
# Copyright 2014-2020 The PySCF Developers. 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
#
# U... |
the-stack_0_13746 | # -*- coding: utf-8 -*-
from couchbase_helper.documentgenerator import doc_generator
from failover.AutoFailoverBaseTest import AutoFailoverBaseTest
from custom_exceptions.exception import RebalanceFailedException, \
ServerUnavailableException
from membase.api.rest_client import RestConnection
class MultiNodeAutoF... |
the-stack_0_13748 | #!/usr/bin/env python
from setuptools import (
setup,
find_packages,
)
extras_require = {
'test': [
'cryptography',
'pytest-cov',
'pytest-django',
'pytest-xdist',
'pytest',
'tox',
],
'lint': [
'flake8',
'pep8',
'isort',
],
... |
the-stack_0_13750 | import unittest
import provider.s3lib as s3lib
import tests.settings_mock as settings_mock
from mock import mock, patch, MagicMock
from ddt import ddt, data, unpack
from boto.s3.key import Key
from boto.s3.prefix import Prefix
class FakeKey(Key):
def __init__(self, name):
self.name = name
class FakePrefi... |
the-stack_0_13752 | # Copyright 2013 Google Inc. 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 law or ... |
the-stack_0_13754 | import math
import numpy as np
def vec3(x, y, z):
return np.array([x, y, z], dtype=np.float32)
def radians(v):
return np.radians(v)
def identity():
return np.identity(4, dtype=np.float32)
def empty():
return np.zeros([4, 4], dtype=np.float32)
def magnitude(v):
return np.linalg.norm(v)
def norm... |
the-stack_0_13755 | import re
import subprocess
import threading
import time
# from time import time
from config import *
from utils import *
def pat(test_data_in, class_path, jar, prt=False):
inputfile = open(test_data_in).readlines()
# print("@@@", test_data_in)
basetime, maxtime = datacheck(test_data_in)
# input = pa... |
the-stack_0_13756 |
import numpy as np
import Augmentor
from PIL import Image
class DatasetAugmentor():
def __init__(self,
dataset_config=None,
additional_augmentor_obj=None
):
self.p = Augmentor.Pipeline()
if dataset_config is not None and 'pipeline' in dataset_config:
f... |
the-stack_0_13757 | from functools import partial
import numpy as np
import torch
import torch.nn as nn
from torchvision import transforms
from src.modules.distributions import dmol_loss, sample_from_dmol, log_normal_diag
# ----- NN Model Seleciton -----
from .image_networks.densenet16x32 import q_u, p_z, q_z, p_y, p_x
from ...utils.u... |
the-stack_0_13759 | from mollie.api.objects.refund import Refund
from .utils import assert_list_object
PROFILE_ID = "pfl_v9hTwCvYqw"
def test_get_profile_refunds_by_profile_id(client, response):
"""Get refunds relevant to profile by profile id."""
response.get(f"https://api.mollie.com/v2/refunds?profileId={PROFILE_ID}", "refun... |
the-stack_0_13760 | import sys
import time
import subprocess
def check_for_libportaudio2():
if sys.platform == 'linux':
try:
output = subprocess.run(['apt', 'list', '--installed',
'libportaudio2'],
stdout=subprocess.PIPE,
... |
the-stack_0_13762 | class RadialDistortion():
"""
Mix-in for sensors that use a radial distortion model.
"""
@property
def usgscsm_distortion_model(self):
"""
Expects odtk to be defined. This should be a list containing
the radial distortion coefficients
Returns
-------
... |
the-stack_0_13765 | import os
import struct
import numpy as np
"""
Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py
which is GPL licensed.
"""
def read(dataset = "training", path = "."):
"""
Python function for importing the MNIST data set. It returns an iterator
of 2-tuples with the first element bein... |
the-stack_0_13767 | #!/usr/bin/env python3
#
# Copyright (c) 2013-2022, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright... |
the-stack_0_13771 | #!/usr/bin/env python
# Copyright 2015 Google Inc. 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 ... |
the-stack_0_13775 | import setuptools
with open("README.md", "r") as f:
long_description = f.read()
with open("requirements.txt") as f:
requires = f.read().splitlines()
setuptools.setup(
name="ondewo-client-utils",
version="0.1.0",
author="Ondewo GbmH",
author_email="info@ondewo.com",
description="This libra... |
the-stack_0_13776 | """
TODO:
Implement a test that proves file configs override rather than overwrite
the defaults. Unfortunately this functionality will have to be implemented
first.
"""
import os
from unittest import mock
import pytest
import requests
from pianodb.pianodb import (number_of_workers, gen_dummy_cmd, get_con... |
the-stack_0_13777 | from cms.api import create_page
from djangocms_helper.base_test import BaseTestCase
from djangocms_reversion2.models import PageVersion
from djangocms_reversion2.utils import revert_page
from . import testutils
class PageRevisionCreateTestCase(BaseTestCase):
def test_a_revise_page(self):
language = 'en... |
the-stack_0_13779 | import os
import numpy as onp
from numpy.testing import assert_allclose
import pytest
from jax import jit, pmap, random, vmap
from jax.lib import xla_bridge
import jax.numpy as np
from jax.scipy.special import logit
import numpyro
import numpyro.distributions as dist
from numpyro.distributions import constraints
fro... |
the-stack_0_13780 | from torch.nn import LSTM, Linear, BatchNorm1d, Parameter
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class NoOp(nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
return x
class STFT(nn.Module):
def __init__(
self,... |
the-stack_0_13781 | EMBED_SIZE = 200
NUM_LAYERS = 2
LR = 0.0001
MAX_GRAD_NORM = 5.0
PAD_ID = 0
UNK_ID = 1
START_ID = 2
EOS_ID = 3
CONV_SIZE = 3
# sanity
# BUCKETS = [(55, 50)]
# BATCH_SIZE = 10
# NUM_EPOCHS = 50
# NUM_SAMPLES = 498
# HIDDEN_SIZE = 400
# test
BUCKETS = [(30, 30), (55, 50)]
BATCH_SIZE = 20
NUM_EPOCHS = 3
NUM_SAMPLES = ... |
the-stack_0_13783 | # module
from __future__ import print_function
import argparse
from tqdm import tqdm
import torch
import torch.nn.functional as F
from torchvision import datasets, transforms
from torchvision.utils import save_image
import time
import torch.nn as nn
from SSGE import Attack,resnet18
import torchvision
from attack impor... |
the-stack_0_13787 | # Copyright 2016 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.
import contextlib
from telemetry import decorators
from telemetry import page as page_module
from telemetry import story
from telemetry.page import cache_te... |
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