filename stringlengths 13 19 | text stringlengths 134 1.04M |
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the-stack_0_5713 | #!/usr/bin/env python
"""
requests_cache
~~~~~~~~~~~~~~
Transparent cache for ``requests`` library with persistence and async support
Just write::
import requests_cache
requests_cache.install_cache()
And requests to resources will be cached for faster repeated access::
i... |
the-stack_0_5714 | # Copyright (c) 2021 PaddlePaddle 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 appli... |
the-stack_0_5717 | class Complex:
def __init__(self, realpart, imagpart):
self.r = realpart
self.i = imagpart
def add(self, addend):
return Complex(self.r + addend.r, self.i + addend.i)
def subtract(self, subtrahend):
return Complex(self.r - subtrahend.r, self.i - subtrahend.i)
def multi... |
the-stack_0_5721 | __author__ = 'jlegind'
from urllib import parse, request
import requests
import json
import collections
import csv
class SearchAPI(object):
def __init__(self, url, read_path, write_path, suffix='', separator='\t'):
"""
:param url: JSON api url
:param read_path: File that contains the sear... |
the-stack_0_5722 | from __future__ import unicode_literals
import click
import six
from ..aliases import aliases_database
from .base import cli
@cli.command(name='clean-aliases',
short_help="Remove aliases mapping to closed or inexistent "
"activities.")
@click.option('-y', '--yes', 'force_yes', i... |
the-stack_0_5723 | import glob
import os
from typing import List
from torch import sigmoid
import matplotlib.pyplot as plt
import seaborn as sn
import torch
import wandb
from pytorch_lightning import Callback, Trainer
from pytorch_lightning.loggers import LoggerCollection, WandbLogger
from sklearn import metrics
from sklearn.metrics imp... |
the-stack_0_5724 | # -*- coding: utf-8 -*-
import wtforms
from flask import render_template, request, Markup, abort, flash, redirect, escape, url_for, make_response
from .. import b__ as __
from .form import Form
from .fields import SubmitField
class ConfirmDeleteForm(Form):
"""
Confirm a delete operation
"""
# The lab... |
the-stack_0_5725 | import math
import pytest
from click.testing import CliRunner
from r2b2.athena import Athena
from r2b2.cli import cli
from r2b2.contest import Contest
from r2b2.contest import ContestType
from r2b2.minerva import Minerva
from r2b2.tests import util as util
default_contest = util.generate_contest(10000)
def test_si... |
the-stack_0_5727 | # Copyright 2021 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... |
the-stack_0_5728 | import os
import sys
import importlib
# Setting the correct config file
config_path = ".".join(["models", sys.argv[1]]) + "." if len(sys.argv) >= 2 else ""
config = importlib.import_module(config_path + "config")
output_FF_layers = [100, 2] #[4000, 1000, 100, 1] #[200, 200, 100, 100, 1]
cur_work_dir = os.getcwd()
d_m... |
the-stack_0_5733 | import sys
import os.path
from PyQt5 import QtWidgets, uic
from PyQt5.QtCore import QThread, pyqtSlot
from mychat_client.client import User
from mychat_client.handlers import GuiReceiver
try:
addr = sys.argv[1]
except IndexError:
addr = 'localhost'
try:
port = int(sys.argv[2])
except IndexError:
port =... |
the-stack_0_5734 | import torch.nn as nn
import torch.nn.functional as F
from layers import GraphSN
import torch
class GNN(torch.nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim, n_layers, batchnorm_dim, dropout_1, dropout_2):
super().__init__()
self.dropout = dropout_1
... |
the-stack_0_5737 | import configparser
import logging
import os
import warnings
_logger = logging.getLogger(__name__)
FILENAME = "jolly_brancher.ini"
# CONFIG VARS
KEYS_AND_PROMPTS = [
["auth_email", "your login email for Atlassian"],
["base_url", "the base URL for Atlassian (e.g., https://cirrusv2x.atlassian.net)"],
[
... |
the-stack_0_5739 | if __name__ == '__main__':
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings("ignore")
plt.style.use('ja')
data_dir = '../IceCubeData/'
mp = 1.0
nu_mass = 0.15
filename = 'mp' + str(mp) + 'mnu' + str(nu_mass) + '.csv'
data = pd.read_csv(data_dir +... |
the-stack_0_5740 | """
Spin up an instance, run a single command, spin it down :-)
Usage:
run.py [options] -- <COMMAND> ...
run.py [options] <COMMAND> ...
Options:
--type TYPE type, eg ng0 for bfboost, or ngd3 for dual Titan X [default: ng0]
--image IMAGE image [default: s1]
"""
from __future__ import print_function
impor... |
the-stack_0_5741 | from __future__ import print_function, division
from sympy.core import S, C
from sympy.core.compatibility import u
from sympy.core.exprtools import factor_terms
from sympy.core.function import (Function, Derivative, ArgumentIndexError,
AppliedUndef)
from sympy.core.logic import fuzzy_not
from sympy.functions.eleme... |
the-stack_0_5742 | """This module contains nodes for spectral analysis with Timeflux."""
import numpy as np
import pandas as pd
import xarray as xr
from scipy.signal import welch
from scipy.fft import fftfreq, rfftfreq, fft, rfft
from timeflux.core.node import Node
class FFT(Node):
"""Compute the one-dimensional discrete Fourier ... |
the-stack_0_5744 | # Copyright 2016 Medical Research Council Harwell.
#
# 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_5745 | # Copyright 2012 Red Hat, Inc.
# Copyright 2013 IBM Corp.
# 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.... |
the-stack_0_5746 | import KratosMultiphysics
import KratosMultiphysics.StructuralMechanicsApplication as StructuralMechanicsApplication
import KratosMultiphysics.KratosUnittest as KratosUnittest
from math import sqrt, sin, cos, pi, exp, atan
class TestComputeCenterOfGravity(KratosUnittest.TestCase):
# muting the output
KratosM... |
the-stack_0_5747 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright 2013 Kitware 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 cop... |
the-stack_0_5748 | from transformers import AutoTokenizer, AutoModelWithLMHead
import numpy as np
from pathlib import Path
import json
import joblib
def model_fn(model_dir):
tokenizer = AutoTokenizer.from_pretrained("distilgpt2", cache_dir=model_dir)
model = AutoModelWithLMHead.from_pretrained("distilgpt2", cache_dir=model_dir)... |
the-stack_0_5751 | #!/usr/bin/env python
"""
/proc/thedir
"""
from slashproc_parser.basic_parser import BasicSPParser
class TheParser(BasicSPParser):
THEDIR = "/proc/thedir"
def __init__(self):
super(TheParser, self).__init__(self)
@staticmethod
def get_groups():
"""
REMOVE THIS DOCSTRING AND... |
the-stack_0_5753 | # -*- coding: utf-8 -*
#!/usr/bin/python
from dealctrl import *
class deal_7_com(dealctrl):
def __init__(self,con):
dealctrl.__init__(self,con)
def run(self):
userid=int(self.recvdic['userid'])
aid=int(self.recvdic['aid'])
content=self.recvdic['content']
sql=("... |
the-stack_0_5754 | from __future__ import print_function
import torch
import torch.nn as nn
import numpy as np
import scipy
import numbers
import random
from matplotlib import colors
import matplotlib.patches as mpatches
from statsmodels.nonparametric.kde import KDEUnivariate
from PIL import ImageFilter
from kornia import augmentation... |
the-stack_0_5762 | """
Author: Andreas Rössler
"""
import os
import argparse
import torch
import pretrainedmodels
import torch.nn as nn
import torch.nn.functional as F
from xception import xception
import math
import torchvision
def return_pytorch04_xception(init_checkpoint=None):
# Raises warning "src not broadcastable to dst" ... |
the-stack_0_5764 | from math import ceil
# 入力
N, A, B = map(int, input().split())
h = [int(input()) for _ in range(N)]
# 二分法により解を求める
def bis(p, ok, ng):
mid = (ok + ng) // 2
return (
ok if abs(ok - ng) == 1 else
bis(p, mid, ng) if p(mid) else
bis(p, ok, mid)
)
ans = bis(
lambda k: sum(max(0, c... |
the-stack_0_5767 | import requests as req
import json
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.conf.urls import url
from django.conf import settings
from django.core.mail import send_mail
client_id = settings.FENIX_CLIENT_ID
clientSecret = settings.FENIX_CLIENT_SECRET
redirect_uri = settin... |
the-stack_0_5769 | # coding: utf-8
"""
Translator Knowledge Beacon Aggregator API
This is the Translator Knowledge Beacon Aggregator web service application programming interface (API) that provides integrated access to a pool of knowledge sources publishing concepts and relations through the Translator Knowledge Beacon API. Th... |
the-stack_0_5770 | # Copyright 2021 Sony Group 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 ... |
the-stack_0_5771 | """ Contains a class for logic of the Subjects.
"""
import os
import logging
import json
import pkg_resources
import mne
import meggie.utilities.filemanager as filemanager
from meggie.mainwindow.dynamic import find_all_datatype_specs
class Subject:
""" The class for holding subject-specific information
an... |
the-stack_0_5772 | # Copyright (c) 2011 OpenStack Foundation.
# 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... |
the-stack_0_5775 | # encoding: utf-8
"""
Gherkin step implementations for chart features.
"""
from __future__ import absolute_import, print_function
import hashlib
from itertools import islice
from behave import given, then, when
from pptx import Presentation
from pptx.chart.chart import Legend
from pptx.chart.data import (
Bub... |
the-stack_0_5779 | # This program 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 License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
... |
the-stack_0_5781 | ## Alarm Server
## Supporting Envisalink 2DS/3
##
## This code is under the terms of the GPL v3 license.
evl_Commands = {
'KeepAlive' : '000',
'StatusReport' : '001',
'DumpZoneTimers' : '008',
'PartitionKeypress' : '071',
'Disarm' : '040',
'ArmStay' : '031',
'ArmAway' : '030',
'ArmMax' ... |
the-stack_0_5783 | #!/usr/bin/env python
# coding: utf-8
#takes as input a csv or tsv file, and a evalue cutoff, loads the data in pandas and fiters the dataframe by this value.
#writes a clean csv/tsv file. If imported as library is able to take as input a pandas df and return a clean pandas df
import pandas as pd
from sys import argv
... |
the-stack_0_5784 | import os
from flask import Flask, jsonify, request, abort
from components import CardsView, Card, CardHeader
app = Flask(__name__)
@app.route("/", methods=['POST'])
def index():
# process payload from archy
payload = request.json.get('payload', {})
args = payload.get('args', {})
links = [{
... |
the-stack_0_5785 | #!/usr/bin/env python3
import shutil
import iterm2
async def main(connection):
component = iterm2.StatusBarComponent(
short_description="RootVolume Usage",
detailed_description="Show Root Volume Usage",
knobs=[],
exemplar="[RootVolume Usage]",
update_cadence=30,
id... |
the-stack_0_5786 | #!/usr/bin/python3
# -*- coding:utf-8 -*-
# Project: http://plankton-toolbox.org
# Copyright (c) 2010-2018 SMHI, Swedish Meteorological and Hydrological Institute
# License: MIT License (see LICENSE.txt or http://opensource.org/licenses/mit).
import codecs
import toolbox_utils
import plankton_core
class Im... |
the-stack_0_5789 | # Begin: Python 2/3 compatibility header small
# Get Python 3 functionality:
from __future__ import\
absolute_import, print_function, division, unicode_literals
from future.utils import raise_with_traceback, raise_from
# catch exception with: except Exception as e
from builtins import range, map, zip, filter
from i... |
the-stack_0_5790 | #-------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2011 EOX IT Services GmbH
#
# Permission... |
the-stack_0_5792 | # -*- coding: utf-8 -*-
"""
sentence, word, morph, ...
__author__ = 'Jamie (jamie.lim@kakaocorp.com)'
__copyright__ = 'Copyright (C) 2019-, Kakao Corp. All rights reserved.'
"""
###########
# imports #
###########
import logging
import re
from typing import List, Tuple
MAX_LEN = 64
#########
# types #
#########
... |
the-stack_0_5793 | # This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... |
the-stack_0_5796 | """
Galaxy Metadata
"""
import copy
import json
import logging
import os
import shutil
import sys
import tempfile
import weakref
from collections import OrderedDict
from collections.abc import Mapping
from os.path import abspath
from typing import Any, Iterator, Optional, TYPE_CHECKING, Union
from sqlalchemy.orm impo... |
the-stack_0_5798 | #!/usr/bin/python
from ansible.module_utils.opsmanager import ansible_setup
if __name__ == '__main__':
module, opsmanager = ansible_setup()
group = opsmanager.get_group_by_name(module.params['cluster'])
response = opsmanager.delete_maintenance(group)
module.exit_json(changed=False, meta=response)
|
the-stack_0_5801 | # Test script for opening and closing gate
def main(robot):
# Setup
timestep = int(robot.getBasicTimeStep())
# Main loop, perform simulation steps until Webots is stopping the controller
while robot.step(timestep) != -1:
if not(gate_open := robot.gate.open()):
print(gate_open)
|
the-stack_0_5804 | import re
import numpy as np
import matplotlib.pyplot as plt
def _plot_primitives_boxplots(log_file):
with open(log_file, 'r') as file:
lines = file.readlines()
# read Primitives
p = [re.findall('P=\d+', line) for line in lines]
p = [v[0] for v in p if v]
p = np.array([float(v.split('=')[... |
the-stack_0_5805 | """Facilities for implementing hooks that call shell commands."""
from __future__ import print_function
import logging
import os
from subprocess import Popen, PIPE
from certbot import errors
logger = logging.getLogger(__name__)
def validate_hooks(config):
"""Check hook commands are executable."""
_validate... |
the-stack_0_5806 | from contextlib import AsyncExitStack
from asyncpg import create_pool
from fastapi import FastAPI
from pytest import fixture
from fastapi_pagination import LimitOffsetPage, Page, add_pagination
from fastapi_pagination.ext.asyncpg import paginate
from ..base import BasePaginationTestCase
from ..utils import faker
@... |
the-stack_0_5807 | # -*- coding=utf-8 -*-
#Implmentation of anmm model based on bin sum input of QA matrix
from __future__ import print_function
from __future__ import absolute_import
import keras
import keras.backend as K
from keras.models import Sequential, Model
from keras.layers import *
from keras.activations import softmax
from m... |
the-stack_0_5809 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Train a video classification model."""
import numpy as np
import pprint
import torch
from fvcore.nn.precise_bn import get_bn_modules, update_bn_stats
import slowfast.models.losses as losses
import slowfast.models.optimi... |
the-stack_0_5810 | #------------------------------------------------------------------------------
# test_try.py
#------------------------------------------------------------------------------
# BSD 3-Clause License
#
# Copyright (c) 2018, Affirm
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or withou... |
the-stack_0_5813 | # -*- coding: utf-8 -*-
# Copyright 2020 Minh Nguyen (@dathudeptrai)
#
# 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 ... |
the-stack_0_5814 | ## Main
"""
OpenAI gym execution.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import importlib
import json
import logging
import os
import time
import sys
from tensorforce import TensorForceError
from tensorforce.agents import Age... |
the-stack_0_5819 | # Copyright 2019 DeepMind Technologies Ltd. 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 appl... |
the-stack_0_5821 | # 1080
n, m = map(int, input().split())
cnt = 0
normal = [list(map(int, list(input()))) for _ in range(n)]
comp = [list(map(int, list(input()))) for _ in range(n)]
def change(a, b):
for i in range(a, a+3):
for j in range(b, b+3):
if normal[i][j] == 1:
normal[i][j] = 0
... |
the-stack_0_5822 | # Copyright 2018-2021 Streamlit 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 wr... |
the-stack_0_5823 | #!env python
from importlib import import_module
import sys
import logging
logger = logging.getLogger('root')
import canmatrix
import os
if sys.version_info > (3, 0):
import io
else:
import StringIO
moduleList = ["arxml", "cmcsv", "dbc", "dbf", "cmjson",
"kcd", "fibex", "sym", "xls", "xlsx", "yam... |
the-stack_0_5824 | from functools import partial
from urllib.parse import urlunsplit, urlencode
from strava.base import RequestHandler
from strava.constants import APPROVAL_PROMPT, SCOPE, DEFAULT_VERIFY_TOKEN
from strava.helpers import BatchIterator, from_datetime_to_epoch
class StravaApiClientV3(RequestHandler):
api_path = 'api/v... |
the-stack_0_5825 | # Copyright (c) 2020 PaddlePaddle 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 appli... |
the-stack_0_5828 | # Copyright 2017, OpenCensus 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 w... |
the-stack_0_5829 | import os
from aiohttp import web
from aiohttp.test_utils import AioHTTPTestCase, unittest_run_loop
from meross_iot.controller.device import HubDevice
from meross_iot.manager import MerossManager
from meross_iot.model.enums import OnlineStatus
from tests import async_get_client
if os.name == 'nt':
import asyncio
... |
the-stack_0_5830 | import qiskit.quantum_info
from qiskit.quantum_info.synthesis.xx_decompose import XXDecomposer
import numpy as np
from scipy.stats import unitary_group
from monodromy.coverage import *
from monodromy.static.examples import *
from monodromy.haar import expected_cost
import monodromy.render
def default_zx_operation_c... |
the-stack_0_5833 | # 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.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... |
the-stack_0_5835 | from _collections import deque
males = [int(x) for x in input().split()]
females = deque([int(x) for x in input().split()])
matches = 0
while males and females:
current_female = females[0]
current_male = males[-1]
if current_female <= 0:
females.popleft()
elif current_male <= 0:
males... |
the-stack_0_5837 | # -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import fnmatch
import time
import re
import datetime
import warnings
from collections import OrderedDict, defaultdict
import numpy as np
from astropy.utils.decorators import lazyproperty
from astropy.utils.exceptions import Astro... |
the-stack_0_5841 | from __future__ import print_function
import collections
import logging
from itertools import chain, product
import math
import random
_logger = logging.getLogger(__name__)
EvaluationConfig = collections.namedtuple('EvaluationConfig',
['num_samples', 'sample_size'])
FORMAT_... |
the-stack_0_5842 | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
the-stack_0_5843 | from PIL import Image
import pytesseract
import argparse
import os
import time
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--path", default="post",
help="path of folder with images to be OCR'd, folder should not include another forlders")
args = vars(ap.parse_args())
path=args["path"]+"/"
pri... |
the-stack_0_5845 | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.piratesgui.BoardingPermissionPanel
from pandac.PandaModules import *
from direct.gui.DirectGui import DGG
from pirates.piratesgu... |
the-stack_0_5847 | #{{{ Import
import numpy as np
pi = np.pi
#}}}
#{{{ Snell's Law
def deflection_angle(theta, n1, n2, deg=True):
"""Calculate deflection angle according to Snell's law.
Parameters
----------
theta : float
Angle of incidence.
n1 : float
Refractive index of the first medium.
n2 : ... |
the-stack_0_5849 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 16 14:52:14 2019
@author: Artemis
"""
"""
import numpy as np
import matplotlib.pyplot as plt
line = np.linspace(-5, 5, 200)
plt.plot(line, np.tanh(line), label='tanh')
plt.plot(line, np.maximum(line, 0), label='relu')
plt.legend(loc='best')
plt.xlabel('x')
plt.ylabel(... |
the-stack_0_5851 | from vdb.lib.npm import NpmSource
from depscan.lib import config as config
from depscan.lib.pkg_query import npm_metadata, pypi_metadata
# Dict mapping project type to the audit source
type_audit_map = {"nodejs": NpmSource(), "js": NpmSource()}
# Dict mapping project type to risk audit
risk_audit_map = {
"nodejs... |
the-stack_0_5853 | import logging
import datetime
import xml.etree.cElementTree as ET
import core
from core.helpers import Url
logging = logging.getLogger(__name__)
'''
Does not supply rss feed -- backlog searches only.
'''
def search(imdbid, term):
proxy_enabled = core.CONFIG['Server']['Proxy']['enabled']
logging.info('Sear... |
the-stack_0_5854 | import torch
from torch.testing._internal.common_utils import TestCase, run_tests
from torch.utils._pytree import tree_flatten, tree_unflatten, TreeSpec, LeafSpec
from torch.utils._pytree import _broadcast_to_and_flatten
class TestPytree(TestCase):
def test_treespec_equality(self):
self.assertTrue(LeafSpec... |
the-stack_0_5855 | """
mbed CMSIS-DAP debugger
Copyright (c) 2006-2015 ARM Limited
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 ... |
the-stack_0_5856 | # Copyright (c) Yuta Saito, Yusuke Narita, and ZOZO Technologies, Inc. All rights reserved.
# Licensed under the Apache 2.0 License.
"""Off-Policy Evaluation Class to Streamline OPE."""
from dataclasses import dataclass
from logging import getLogger
from pathlib import Path
from typing import Dict
from typing import L... |
the-stack_0_5859 | from __future__ import print_function
from builtins import range
import json
class selectionParser(object):
def __init__(self,selectStr):
self.__result={}
self.__strresult={}
strresult=json.loads(selectStr)
for k,v in strresult.items():
expandedvalues=[]
for w... |
the-stack_0_5863 | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import torch
from torch.utils.data import Dataset
import torchvision.transforms as transforms
import os.path as osp
import os
from PIL import Image
import numpy as np
import json
from transform import *
class CityScapes(Dataset):
def __init__(self, rootpth, cropsiz... |
the-stack_0_5864 | import pytest
import json
from bitarray import bitarray
from bigsi.tests.base import CONFIGS
from bigsi import BIGSI
from bigsi.storage import get_storage
from bigsi.utils import seq_to_kmers
import pytest
def test_create():
for config in CONFIGS:
get_storage(config).delete_all()
bloomfilters = [... |
the-stack_0_5866 | # coding=utf-8
# Copyright 2021 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 require... |
the-stack_0_5870 | import pandas as pd
import pytest
import torch
from deepdow.benchmarks import OneOverN
from deepdow.callbacks import Callback
from deepdow.experiments import History, Run
from deepdow.losses import MeanReturns, StandardDeviation
from deepdow.nn import DummyNet
def test_basic():
n_channels = 2
x = torch.rand(... |
the-stack_0_5871 | import re
from pyspark import SparkConf, SparkContext
def normalizeWords(text):
return re.compile(r'\W+', re.UNICODE).split(text.lower())
conf = SparkConf().setMaster("local").setAppName("WordCount")
sc = SparkContext(conf = conf)
input = sc.textFile("file:///sparkcourse/book.txt")
words = input.flatMa... |
the-stack_0_5873 | # Copyright 2015 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... |
the-stack_0_5875 | import socket
import time
import pychromecast
from gtts import gTTS
def get_speaker(ip_addr=None, name=None):
if ip_addr:
return pychromecast.Chromecast(str(ip_addr))
speakers = pychromecast.get_chromecasts()
if len(speakers) == 0:
print("No devices are found")
raise Exception
... |
the-stack_0_5879 | # model settings
model = dict(
type='CascadeRCNN',
num_stages=3,
pretrained='open-mmlab://msra/hrnetv2_w32',
backbone=dict(
type='HRNet',
extra=dict(
stage1=dict(
num_modules=1,
num_branches=1,
block='BOTTLENECK',
... |
the-stack_0_5880 | # Copyright (c) 2019 Sony Corporation. 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 applicabl... |
the-stack_0_5882 | import pandas as pd
from ..utils.messages import msg_warning, msg_info
def _drop(df: pd.DataFrame, *cols) -> pd.DataFrame:
try:
index = df.columns.values
for col in cols:
if col not in index:
msg_warning("Column", col, "not found. Aborting")
return
... |
the-stack_0_5884 | """
Sumarize results for the train/valid/test splits.
# PROGRAM : metrics.py
# POURPOSE : compute model metrics on the test datasete
# AUTHOR : Caio Eadi Stringari
# EMAIL : caio.stringari@gmail.com
# V1.0 : 05/05/2020 [Caio Stringari]
"""
import argparse
import numpy as np
import tensorf... |
the-stack_0_5885 | """Eclect.us view"""
__docformat__ = "numpy"
from gamestonk_terminal.stocks.fundamental_analysis import eclect_us_model
from gamestonk_terminal.rich_config import console
def display_analysis(
ticker: str,
) -> None:
"""Display analysis of SEC filings based on NLP model. [Source: https://eclect.us]
Para... |
the-stack_0_5886 | #-------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#--------------------------------------------------------------------------
import time... |
the-stack_0_5887 | import discord
from discord.ext import commands
from random import randint
class Bottlespin:
"""Spins a bottle and lands on a random user."""
def __init__(self, bot):
self.bot = bot
@commands.command(pass_context=True, no_pm=True, alias=["bottlespin"])
async def spin(self, ctx, role):
... |
the-stack_0_5888 | """ Periodic maintenance tasks """
import time
import typing
class Maintenance:
""" Container for periodic maintenance tasks """
def __init__(self, app):
self.app = app
self.tasks: typing.Dict[typing.Callable[[], None],
typing.Dict[str, float]] = {}
def r... |
the-stack_0_5892 | """
Copyright 2015 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... |
the-stack_0_5894 | import collections.abc
import copy
import inspect
import warnings
from datetime import timedelta
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Mapping,
Optional,
)
import prefect
import prefect.engine.cache_validators
from prefect.engine.results import ResultH... |
the-stack_0_5897 |
import numpy as np
import tensornetwork as tn
import itertools as itt
#from scipy.sparse import linalg as la
#import matrixproductstates as mp
import scipy as SP
import pymps as mp
def kdelta(i,j):
"""
Parameters
----------
i : int
State index i.
j : int
State ind... |
the-stack_0_5898 | '''Melhore o desafio 028, onde o computador
vai 'pensar' em um número entre 1 e 10.
Só que agora o jogador vai tentar adivinhar
até acertar, mostrando no final quantos palpites
foram necessários para vencer.'''
from random import choice
lista = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
cont = 0
res = 'S'
while res != 'N':
... |
the-stack_0_5900 | #!/usr/bin/env python
import csv
import dataset
import json
import locale
import logging
import re
import sys
from collections import OrderedDict
from itertools import groupby
SECTION_BREAK = 'CLEARANCE RATE DATA FOR INDEX OFFENSES'
END_BREAK = ' READ'
FIELDNAMES = ['year', 'state', 'ori7', 'lea_name', 'population'... |
the-stack_0_5901 | import torch.nn as nn
import torch.nn.functional as F
# from ws.wsRLInterfaces.PARAM_KEY_NAMES import STATE_DIMENSIONS, ACTION_DIMENSIONS
class ActorCritic(nn.Module):
def __init__(self, app_info):
super(ActorCritic, self).__init__()
env = app_info.ENV
action_size = env.fn_get_action_siz... |
the-stack_0_5903 | #!/usr/bin/env python
# -.- coding: UTF-8 -.-
# Creted by Jordan Newman 10th June 2017
import os, sys, socket, struct
BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE = '\033[30m', '\033[31m', '\033[32m', '\033[33m', '\033[34m', '\033[1;35m', '\033[36m', '\033[37m'
if not sys.platform.startswith('linux'):
raise... |
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