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the-stack_106_23214 | #!/usr/bin/env python
# encoding: utf8
#
# Copyright © Burak Arslan <burak at arskom dot com dot tr>,
# Arskom Ltd. http://www.arskom.com.tr
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are ... |
the-stack_106_23216 |
from django.conf.urls import url
from django.urls import path, include, re_path
from posts.views import post_create,post_detail,post_list,post_update,post_delete
urlpatterns = [
re_path(r'^$',post_list,name='list'),
re_path(r'^create/$',post_create),
re_path(r'^(?P<slug>[\w-]+)/$',post_detail,name='detail... |
the-stack_106_23217 | #Make a shot map and a pass map using Statsbomb data
#Set match id in match_id_required.
#Function to draw the pitch
import matplotlib.pyplot as plt
import numpy as np
#Size of the pitch in yards (!!!)
pitchLengthX=120
pitchWidthY=80
#ID for England vs Sweden Womens World Cup
match_id_required = 69301
h... |
the-stack_106_23218 | # -*- coding: utf-8 -*-
from datetime import datetime, time
import warnings
import numpy as np
from pytz import utc
from pandas._libs import lib, tslib
from pandas._libs.tslib import Timestamp, NaT, iNaT
from pandas._libs.tslibs import (
normalize_date,
conversion, fields, timezones,
resolution as libreso... |
the-stack_106_23219 | from adafruit_circuitplayground.express import cpx
# Set to check for single-taps.
cpx.detect_taps = 1
tap_count = 0
# We're looking for 2 single-taps before moving on.
while tap_count < 2:
if cpx.tapped:
print("Single-tap!")
tap_count += 1
print("Reached 2 single-taps!")
# Now switch to checking... |
the-stack_106_23220 | import re
def assign(service,arg):
if service == 'cmseasy':
return True,arg
def audit(arg):
url = arg + '/celive/live/header.php'
payload = ("xajax=LiveMessage&xajaxargs[0]=<xjxobj><q><e><k>name</k><v>%27,"
"(UpdateXML(1,CONCAT(0x5b,mid((SELECT/**/GROUP_CONCAT(md5(1))),1,32),0x... |
the-stack_106_23224 | # model settings
model = dict(
type='FastRCNN',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='pytorch',
init... |
the-stack_106_23225 | import csv
import os
voter = 0
khan = 0
correy = 0
li = 0
OTooley = 0
# read csv file
with open('Resources/election_data.csv', newline='', encoding="utf-8") as FreeBritney:
# Create variable to store contents of budget_data.csv
Free = csv.reader(FreeBritney, delimiter = ',')
# Start the second row ... |
the-stack_106_23227 | #!/usr/bin/python
"""
The goal of Artificial Intelligence is to create a rational agent (Artificial Intelligence 1.1.4). An agent gets input from the environment through sensors and acts on the environment with actuators. In this challenge, you will program a simple bot to perform the correct actions based on environme... |
the-stack_106_23230 | def notas(*notas, sit=False):
"""
-> Função para analisar notas e situações de vários alunos.
:param *notas: uma ou mais notas dos alunos
:param sit: valor opcional, indicando se deve ou não adicionar a situação
:return: dicionário com várias informações sobre a situação da turma
"""
d = {'... |
the-stack_106_23231 | from __future__ import print_function, absolute_import
from collections import defaultdict
from six.moves import range
from six import iteritems
from h5Nastran.defaults import Defaults
from h5Nastran.h5nastrannode import H5NastranNode
from .input_table import InputTable, TableDef
class Dynamic(H5NastranNode):
... |
the-stack_106_23232 | #!/usr/local/env python3
__author__ = 'duceppemo'
__version__ = '0.1'
"""
https://www.biostars.org/p/97409/
"""
from ete3 import Tree
from argparse import ArgumentParser
class TreeCollapser(object):
def __init__(self, args):
# Arguments
self.input_tree = args.input
self.output_tree = ... |
the-stack_106_23233 | import random
from flask import Flask
from flask_restful import Api, Resource
from flask_rest_paginate import Pagination
from marshmallow import Schema, fields
"""
Initialize the app
"""
app = Flask(__name__)
api = Api(app)
# Possible configurations for Paginate
# app.config['PAGINATE_PAGE_SIZE'] = 20
# app.config['P... |
the-stack_106_23234 | # -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
# pylint: disable=invalid-name
"""
csv2ofx.mappings.stripe
~~~~~~~~~~~~~~~~~~~~~~~~
Provides a mapping for transactions obtained via Stripe card processing
Note that Stripe provides a Default set of columns or you can download
All columns. (as well as custom). The De... |
the-stack_106_23235 | import pandas as pd
def _filter_variant_motif_res(
motif_res,
variant_start,
variant_end,
motif_length,
seq,
):
"""
Remove MOODS motif hits that don't overlap the variant of interest.
Parameters
----------
motif_res : list
Result from MOODS search like [(21, 3.9... |
the-stack_106_23236 | import time
import asyncio
import contextlib
from appyter.ext.asyncio import helpers
from appyter.ext.itertools import alist
import logging
logger = logging.getLogger(__name__)
import pytest
from appyter.ext.pytest import assert_eq, assert_exc
from appyter.ext.asyncio.event_loop import with_event_loop
@pytest.fixtur... |
the-stack_106_23237 | # Copyright (c) 2019 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_106_23239 | import numpy as np
import matplotlib.pylab as plt
import cv2
from skimage.metrics import structural_similarity as ssim
from skimage.metrics import peak_signal_noise_ratio as psnr
import os
from os.path import join as opj
from os.path import dirname as opd
from tqdm import tqdm
def plot(img,title="",savename=""... |
the-stack_106_23241 | # Copyright (c) 2018-2019, NVIDIA 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 a... |
the-stack_106_23243 | # -*- coding: utf-8 -*-
# Copyright 2018 IBM.
#
# 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 agre... |
the-stack_106_23244 | #cpu time 0.03s
all_times = []
while True:
i = input()
if i == '0':
# let's end with the final output
for hour, minute, ampm in all_times[:-1]:
# for every time in all times, except the last
hour = hour[0].replace('0', '12') if len(hour) == 1 else hour
prin... |
the-stack_106_23245 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('add/', views.add, name='add'),
path('update/', views.update, name='update'),
path('delete/', views.delete, name='delete'),
] |
the-stack_106_23246 | # Only used for PyTorch open source BUCK build
CXX = "Default"
ANDROID = "Android"
APPLE = "Apple"
FBCODE = "Fbcode"
WINDOWS = "Windows"
UNIFIED = "Unified"
# Apple SDK Definitions
IOS = "ios"
WATCHOS = "watchos"
MACOSX = "macosx"
APPLETVOS = "appletvos"
xplat_platforms = struct(
ANDROID = ANDROID,
A... |
the-stack_106_23248 | import sys
sys.path.append('../../configs')
sys.path.append('../../utils')
sys.path.append('../../tfops')
# ../../configs
from info import ACTIVATE_K_SET_IMGNET
# ../../utils
from datasetmanager import DATASETMANAGER_DICT
from format_op import params2id, listformat
from shutil_op import remove_file, remove_dir, copy_... |
the-stack_106_23249 | import time
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from electrum_twist_gui.qt.util import *
from electrum_twist_gui.qt.amountedit import AmountEdit
from electrum_twist.twist import COIN
from electrum_twist.i18n import _
from decimal import Decimal
from functools import partial
from electrum_twist.plugin... |
the-stack_106_23250 | from dataclasses import dataclass, field
from kikit.sexpr import Atom, parseSexprF
from itertools import islice
import os
from typing import Optional
@dataclass
class Symbol:
uuid: Optional[str] = None
path: Optional[str] = None
unit: Optional[int] = None
lib_id: Optional[str] = None
in_bom: Option... |
the-stack_106_23253 | """
Given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
You can return the answer in any order.
Example 1:
Input: nums = [2,7,11,15], ta... |
the-stack_106_23254 | """
Creating prime sieve (optimized version).
.. module:: sieve_of_eratosthenes_optimized
:platform: Unix, Windows
:synopis: creating prime sieve
.. moduleauthor:: Thomas Lehmann <thomas.lehmann.private@googlemail.com>
=======
License
=======
Copyright (c) 2015 Thomas Lehmann
Permission is... |
the-stack_106_23255 | # coding=utf8
"""
meetbot.py - Willie meeting logger module
Copyright © 2012, Elad Alfassa, <elad@fedoraproject.org>
Licensed under the Eiffel Forum License 2.
This module is an attempt to implement at least some of the functionallity of Debian's meetbot
"""
from __future__ import unicode_literals
import time
import o... |
the-stack_106_23256 | import datetime
import shutil
from dataclasses import dataclass
from pathlib import Path
from subprocess import check_output
from typing import Callable, Tuple
import pytest
from cryptography import x509
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cry... |
the-stack_106_23257 | import re, math
class Int(int):
# def __repr__(self):
# return hex(self)
def __str__(self):
return hex(self)
def __add__(self, other):
return Int(super().__add__(other))
def __sub__(self, other):
return Int(super().__sub__(other))
def __lshift__(self, other):
... |
the-stack_106_23259 | from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform
import os, sys
import numpy as np
from sklearn.utils import class_weight
import tensorflow as tf
from keras.backend.tensorflow_backend import set_session
from keras.utils import to_categorical
from k... |
the-stack_106_23261 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
the-stack_106_23266 | from point import Point
import socket
import json
class Connection:
"""A simple TCP wrapper class that acts a client OR server with similar
methods regardless of which it is connected as
"""
def __init__(self, port, host=None):
"""Creates a connection, basically a simple TCP client/server wrap... |
the-stack_106_23268 | """
picasso.simulate-gui
~~~~~~~~~~~~~~~~
GUI for Simulate :
Simulate single molcule fluorescence data
:author: Maximilian Thomas Strauss, 2016
:copyright: Copyright (c) 2016 Jungmann Lab, MPI of Biochemistry
"""
import csv
import glob as _glob
import os
import sys
import time
import yaml
i... |
the-stack_106_23269 | # Copyright 2013 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 requ... |
the-stack_106_23270 | from collections import deque
import logging
import time
import socket
import hashlib
import requests
import pdpyras
import yaml
LOG = logging.getLogger(__name__)
hostname = socket.getfqdn()
class Check(object):
def __init__(self, url, pd_api_key, **kwargs):
self.url = url
self.pd_api_key = ... |
the-stack_106_23273 | # Copyright 2019 The TensorFlow Authors, Pavel Yakubovskiy. 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_106_23274 | # Copyright 2021 Northern.tech AS
#
# 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 ag... |
the-stack_106_23277 | # This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
import os
import sys
from distutils import dist
from distutils.ccompiler import get_default_compiler
from distutils.command.config import ... |
the-stack_106_23278 | # class to handle scorecard
from turtle import Turtle
class Scoreboard(Turtle):
def __init__(self):
super().__init__()
self.score = 0
self.high_score = 0
self.get_high_score()
self.color("white")
self.penup()
self.update_score()
self.hideturtle()
#... |
the-stack_106_23279 | from .base_options import BaseOptionsTest
class TestOptions(BaseOptionsTest):
def initialize(self, parser):
parser = BaseOptionsTest.initialize(self, parser)
parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
parser.add_argument('--results_dir', type... |
the-stack_106_23280 | """Project views for authenticated users."""
import logging
from allauth.socialaccount.models import SocialAccount
from celery import chain
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.http import (
Http404,
... |
the-stack_106_23285 | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
#
#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_106_23288 | from threading import Thread, Event
import os, datetime, uuid, time, math, ast
from typing import List, Dict
from alphaz.models.database.structure import AlphaDatabase
from alphaz.models.main import AlphaClass, AlphaTransaction
from ..libs import transactions_lib
from core import core
LOG = core.get_logger('request... |
the-stack_106_23290 | class Solution:
def isMatch(self, s: str, p: str) -> bool:
dp = [[False for _ in range(len(s) + 1)] for _ in range(len(p) + 1)]
dp[0][0] = True
for i in range(1,len(p)+1):
if p[i-1] == '*':
dp[i][0] = dp[i-2][0]
for i in range(1, len(p) + 1):
... |
the-stack_106_23292 | import logging
import numpy as np
import torch
from rdkit import Chem
from rdkit import RDLogger
from rdkit.Chem.Scaffolds import MurckoScaffold
from federatedscope.core.splitters.utils import dirichlet_distribution_noniid_slice
from federatedscope.core.splitters.graph.scaffold_splitter import generate_scaffold
logge... |
the-stack_106_23293 | """
Contains functions that handles command line parsing logic.
"""
import argparse
def create_parser():
"""
Creates a command line parser.
There are four arguments allowed for this parser:
(1) the dns server ip (required)
(2) the domain name to be resolved (resolved)
(3) a verbose option, ... |
the-stack_106_23294 | # Copyright 2020 Google LLC. 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 a... |
the-stack_106_23296 | # Loss functions
import torch
import torch.nn as nn
from ..utils.general import bbox_iou
from ..utils.torch_utils import is_parallel
def smooth_BCE(eps=0.1): # https://github.com/ultralytics/yolov3/issues/238#issuecomment-598028441
# return positive, negative label smoothing BCE targets
return 1.0 - 0.5 * ... |
the-stack_106_23298 | # -*- coding: UTF-8 -*-
import os
import numpy as np
from migrate_db import People, db, app
uuid = '28DDU17531000102'
embedding_basedir = '/home/actiontec/PycharmProjects/DeepLearning/FaceRecognition/facenet/src/faces/' \
'ae64c98bdff9b674fb5dad4b/front/face_embedding'
url = ''
style = 'front'
gro... |
the-stack_106_23299 | # Copyright (c) 2014-present PlatformIO <contact@platformio.org>
#
# 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_106_23303 | """
@Version: 1.0
@Project: BeautyReport
@Author: Raymond
@Data: 2017/11/15 下午5:28
@File: __init__.py.py
@License: MIT
"""
import os
import sys
from io import StringIO as StringIO
import time
import json
import unittest
import platform
import base64
from distutils.sysconfig import get_python_lib
import traceback
from ... |
the-stack_106_23305 | import os
import threading
import time
import sys, getopt
def client(i,results,loopTimes):
print("client %d start" %i)
command = "./single-cold_warm.sh -R -t " + str(loopTimes)
r = os.popen(command)
text = r.read()
results[i] = text
print("client %d finished" %i)
def warmup(i,warmupTimes,a... |
the-stack_106_23307 | #!/usr/bin/env python3
# Copyright (c) 2013-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Generate seeds.txt from Pieter's DNS seeder
#
NSEEDS=512
MAX_SEEDS_PER_ASN=2
MIN_BLOCKS = 615801
#... |
the-stack_106_23309 | # coding: utf-8
# General Modules
# import os, shutil
# import re, string
import os
import re
import math
import numpy as np
import pandas as pd
import datetime as dt
import copy
import scipy.constants as sc # natural constants
def read_calibration_files(
photopic_response_path,
pd_respon... |
the-stack_106_23310 | import argparse
import sys
from virtual_coach_db.dbschema.models import Users
from virtual_coach_db.helper.helper import get_db_session
from niceday_client import NicedayClient, TrackerStatus
from niceday_client.definitions import Tracker
def enable_custom_trackers(userid: int):
"""
Enable custom trackers fo... |
the-stack_106_23311 | # --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Sean Bell
# --------------------------------------------------------
# ------------------------------------------------------... |
the-stack_106_23313 | #!/usr/bin/env python3.8
# Copyright 2021 The Fuchsia 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 os
import unittest
import tempfile
from depfile import DepFile
class DepFileTests(unittest.TestCase):
"""Validate the d... |
the-stack_106_23314 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2012, Nachi Ueno, NTT MCL, 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://ww... |
the-stack_106_23315 | import matplotlib as mpl
mpl.use('agg')
import sys
import glob
import numpy as np
import argparse
from time import time
import tensorflow as tf
from os.path import isfile
sys.path.insert(0,'../../unet/tf_unet')
import pylab as plt
from sklearn.metrics import matthews_corrcoef
from mydataprovider imp... |
the-stack_106_23316 | """Test Home Assistant logging util methods."""
import asyncio
import logging
import queue
import pytest
import homeassistant.util.logging as logging_util
from tests.async_mock import patch
def test_sensitive_data_filter():
"""Test the logging sensitive data filter."""
log_filter = logging_util.HideSensiti... |
the-stack_106_23318 | # -*- coding: utf-8 -*-
import warnings
from datetime import datetime
import time
import numpy as np
import pandas as pd
from numpy.linalg import LinAlgError
from scipy.integrate import trapz
from lifelines.fitters import BaseFitter
from lifelines.utils import (
_get_index,
inv_normal_cdf,
epanechnikov_... |
the-stack_106_23319 | #!/usr/bin/env python3
import copy
import nose.tools as nose
from cachesimulator.cache import Cache
class TestSetBlock(object):
"""set_block should behave correctly in all cases"""
def reset(self):
self.cache = Cache({
'010': [
{'tag': '1000'},
{'tag': '... |
the-stack_106_23320 | import torch
import torch.nn as nn
# OPS is a set of layers with same input/output channel.
OPS = {
'none': lambda C, stride, affine: Zero(stride),
'avg_pool_3x3': lambda C, stride, affine: nn.AvgPool2d(3, stride=stride, padding=1, count_include_pad=False),
'max_pool_3x3': lambda C, stride,... |
the-stack_106_23322 | """
cluster_toolkit is a module for computing galaxy cluster models.
"""
import cffi
import glob
import os
import numpy as np
__author__ = "Tom McClintock <mcclintock@bnl.gov>"
cluster_toolkit_dir = os.path.dirname(__file__)
include_dir = os.path.join(cluster_toolkit_dir,'include')
lib_file = os.path.join(cluster_to... |
the-stack_106_23323 | import re
class Star:
def __init__(self, x, y, dx, dy):
# print(x, y, dx, dy)
self.x = int(x)
self.y = int(y)
self.dx = int(dx)
self.dy = int(dy)
def step(self):
self.x += self.dx
self.y += self.dy
def __repr__(self):
return 'x={} y={}'.for... |
the-stack_106_23324 | import numpy as np
import tensorflow as tf
from tensorflow.contrib import rnn
import random
import collections
import time
from tensorflow.python.ops import array_ops
from tensorflow.contrib.rnn.python.ops import rnn_cell
from tensorflow.python.ops import variable_scope
from tensorflow.python.ops import init_ops
from t... |
the-stack_106_23325 | from typing import Optional, Tuple, Union
from fibo.consensus.pot_iterations import calculate_ip_iters, calculate_iterations_quality, calculate_sp_iters
from fibo.types.blockchain_format.reward_chain_block import RewardChainBlock, RewardChainBlockUnfinished
from fibo.types.blockchain_format.sized_bytes import bytes32
... |
the-stack_106_23326 | from typing import Tuple, List
class O_equationset:
"""
the equationset as given by equation (4) defined by different non-negative integers
"""
def __init__(self, l: int, W: int, a_i: List[int], b_i: List[int]):
self.l = l
self.W = W
self.a_i = a_i
self.b_i = b_i
... |
the-stack_106_23330 | # 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_106_23333 | from __future__ import absolute_import, division, print_function, unicode_literals
import socket
import matplotlib
import numpy as np
import os
import collections
import argparse
machine = socket.gethostname()
if machine == "bsccv03":
matplotlib.use('wxagg')
elif 'login' in machine:
matplotlib.use('TkAgg')
impo... |
the-stack_106_23334 | # -*- coding:utf-8 -*-
import os
import random
import math
import numpy as np
import torch
class GenDataIter(object):
""" Toy data iter to load digits"""
def __init__(self, data_file, batch_size):
super(GenDataIter, self).__init__()
self.batch_size = batch_size
self.data_lis = self.rea... |
the-stack_106_23335 | # 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_106_23336 | import pandas as pd
import numpy as np
# import matplotlib.pyplot as plt
from collections import defaultdict
from sklearn import preprocessing
from scipy import sparse
from operator import itemgetter
# from scipy.spatial.distance import cosine
import pickle
# import seaborn
from sklearn.neighbors import NearestNeighbor... |
the-stack_106_23339 | """Block-level tokenizer."""
import logging
from typing import List, Optional, Tuple
from .ruler import Ruler
from .token import Token
from .rules_block.state_block import StateBlock
from . import rules_block
LOGGER = logging.getLogger(__name__)
_rules: List[Tuple] = [
# First 2 params - rule name & source. Sec... |
the-stack_106_23340 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import math
import shutil
import time
import argparse
import pprint
import random as pyrandom
import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.function... |
the-stack_106_23341 | # Copyright 2021, 2022 IBM 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_106_23343 | #Faça um programa que leia 5 números e informe a soma e a média dos números.
soma=0
media=0
contador=0
for i in range(5):
n=float(input("digite o número: "))
soma=soma+n
contador=contador+1
media=(soma)/contador
print('A soma é:', soma)
print("A média é:", media)
|
the-stack_106_23345 | """
Support for Honeywell Round Connected and Honeywell Evohome thermostats.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/climate.honeywell/
"""
import logging
import socket
import datetime
import requests
import voluptuous as vol
import homeassistan... |
the-stack_106_23346 | #!/bin/python3
"""
Copyright kubeinit contributors.
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_106_23347 | # Copyright 2018 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_106_23349 | r"""
Cavity solvation in different states of HCN4
============================================
In selective sodium/potassium channels, the internal cavity of the pore
is walled off from the solvent if the channel is closed.
Upon activation, the internal gate opens and exchange of water molecules
between the cavity and... |
the-stack_106_23350 | """Utility functions and classes used within the `yapapi.executor` package."""
import asyncio
import logging
from typing import Callable, Optional
logger = logging.getLogger(__name__)
class AsyncWrapper:
"""Wraps a given callable to provide asynchronous calls.
Example usage:
with AsyncWrapper(func) ... |
the-stack_106_23354 | """Session object for building, serializing, sending, and receiving messages in
IPython. The Session object supports serialization, HMAC signatures, and
metadata on messages.
Also defined here are utilities for working with Sessions:
* A SessionFactory to be used as a base class for configurables that work with
Sessio... |
the-stack_106_23355 | # -*- coding: utf-8 -*-
###
# (C) Copyright (2012-2019) Hewlett Packard Enterprise Development LP
#
# 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 limi... |
the-stack_106_23356 | import sys
import zlib
if sys.version >= '2.7':
from io import BytesIO as StringIO
else:
from cStringIO import StringIO
try:
from hashlib import md5
except ImportError:
from md5 import md5
from nose.tools import eq_, ok_, assert_raises
from webob import BaseRequest, Request, Response
def simple_app(e... |
the-stack_106_23357 | # Copyright 2016 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 a... |
the-stack_106_23361 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
the-stack_106_23364 | import os, sublime, sublime_plugin, subprocess, json, re
FILE_REGEX = '^(..[^:\n]*):([0-9]+):?([0-9]+)?:? (.*)'
SYNTAX = 'Packages/Makefile/Make Output.sublime-syntax'
WORKING_DIR = '${folder:${project_path:${file_path}}}'
CANNED = {
'target': 'make_targets',
'file_regex': FILE_REGEX,
'working_dir': WORKING_D... |
the-stack_106_23365 | # Copyright 2020 QuantStack
# Distributed under the terms of the Modified BSD License.
from sqlalchemy.orm import Session, joinedload, aliased
from .db_models import Profile, User, Channel, ChannelMember, Package, PackageMember, ApiKey, \
PackageVersion
from quetz import rest_models
import uuid
class Dao:
d... |
the-stack_106_23366 | import numpy as np
import logging
class MyRand(object):
'''
Class that provides the function random() which returns a 'random number'
in the open(!) interval (0,1). The class has been created for TESTING and
DEVELOPMENT purposes and PRODUCES THE SAME SEQUENCE of 'random numbers'
for a given seed < ... |
the-stack_106_23368 | from prometheus_api_client import PrometheusConnect, MetricsList
from prometheus_api_client.utils import parse_datetime
import pandas as pd
import os
import time
import logging
from kubernetes import config, client
from scipy.stats import norm
import numpy as np
import subprocess
import copy
from pynvml import *
import... |
the-stack_106_23369 | #!/usr/bin/python
'''
Extract _("...") strings for translation and convert to Qt4 stringdefs so that
they can be picked up by Qt linguist.
'''
from subprocess import Popen, PIPE
import glob
import operator
import os
import sys
OUT_CPP="qt/moselbitstrings.cpp"
EMPTY=['""']
def parse_po(text):
"""
Parse 'po' fo... |
the-stack_106_23371 | """
Datadog exporter
"""
from setuptools import find_packages, setup
dependencies = ['boto3', 'click', 'pytz', 'durations', 'tzlocal', 'datadog', 'requests', 'python-dateutil']
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8')... |
the-stack_106_23372 | #!/bin/env python
import sys
import boto3
from botocore.exceptions import ClientError
# To get a list of the AWS regions we have access to:
ec2 = boto3.client('ec2')
aws_regions = ec2.describe_regions()
print ('\nRegions we have access to:\n')
for region in aws_regions['Regions']:
region_name = region['Region... |
the-stack_106_23373 | import json
import logging
from django.conf import settings
from django.core.exceptions import ValidationError
from django.db import models
from django.urls import reverse
from django.utils.encoding import force_text
from django.utils.translation import ugettext_lazy as _
from mayan.apps.acls.models import AccessCont... |
the-stack_106_23375 | class LogicB(object):
def __init__(self, device_instance):
self.di = device_instance
def update_status(self):
"""
"""
if not len(self.di._hourly_prices):
# no hourly prices have been calculated
return
# update the charge on the device
self... |
the-stack_106_23376 | # 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 by applicable law or a... |
the-stack_106_23379 | #!/usr/bin/python
# (c) 2018, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... |
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