content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import torch
import torch.optim as optim
from torch.optim.lr_scheduler import LambdaLR
from allenact.algorithms.onpolicy_sync.losses import PPO
from allenact.algorithms.onpolicy_sync.losses.imitation import Imitation
from allenact.algorithms.onpolicy_sync.losses.ppo import PPOConfig
from allenact.utils.experiment_util... | [
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27... | 2.914286 | 175 |
from numpy import array
from pickle import load
from pandas import read_csv
import os
from BioCAT.src.Combinatorics import multi_thread_shuffling, multi_thread_calculating_scores, make_combine, get_score, get_max_aminochain, skipper
# Importing random forest model
modelpath = os.path.dirname(os.path.abspath(__file__)... | [
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... | 2.253336 | 5,471 |
# built-in
from typing import Optional
# app
from .common import TOKENS, Extractor, Token, traverse
from .value import UNKNOWN, get_value
get_returns = Extractor()
inner_extractor = Extractor()
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... | 3.333333 | 60 |
# retired
ibmqx2_c_to_tars =\
{
0: [1, 2],
1: [2],
2: [],
3: [2, 4],
4: [2]
} # 6 edges
# retired
ibmqx4_c_to_tars =\
{
0: [],
1: [0],
2: [0, 1, 4],
3: [2, 4],
4: []
} # 6 edges
# retired
ibmq16Rus_c_to_tars = \
{
0: [],
1: [0, 2],
2: [3],
3: [4, 14],
4: ... | [
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43... | 1.533473 | 956 |
import signal
import requests
import time
from math import floor
shutdown = False
MAIN_TAKER = 0.0065
MAIN_MAKER = 0.002
ALT_TAKER = 0.005
ALT_MAKER = 0.0035
TAKER = (MAIN_TAKER + ALT_TAKER)*2
MAKER = MAIN_MAKER + ALT_MAKER
TAKEMAIN = MAIN_TAKER - ALT_MAKER
TAKEALT = ALT_TAKER - MAIN_MAKER
BUFFER = 0.0... | [
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... | 2.065007 | 723 |
"""
==========================================
Genrating feedthrough from single instance
==========================================
This example demostrates how to generate a feedthrough wire connection for
a given scalar or vector wires.
**Initial Design**
.. hdl-diagram:: ../../../examples/basic/_initial_design.v... | [
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... | 2.749071 | 538 |
from __future__ import annotations
from typing import Optional, Union
from tools import tools
from exceptions import workflow_exceptions
| [
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from django.apps import apps
from django.test import override_settings
from wagtail_live.signals import live_page_update
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# -*- coding: utf-8 -*-
"""
Script Name:
Author: Do Trinh/Jimmy - 3D artist.
Description:
"""
# -------------------------------------------------------------------------------------------------------------
""" Import """
import os
from PySide2.QtWidgets import (QFrame, QStyle, QAbstractItemView, QSizePolicy... | [
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... | 1.801993 | 8,227 |
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sys
import time
import urllib.request
import os
sys.stdin = open('idpwd.txt')
site = input()
id = input()
pwd = input()
# selenium
chromedriver = 'C:\Webdriver\chromedriver.exe'
# selenum webdriver chromedirver .
driver... | [
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1... | 2.5 | 968 |
from io import StringIO
# StringIO
f = StringIO()
f.write('Python-100')
str = f.getvalue() #
print(':%s' %str)
f.write('\n') #
f.write('100')
f.close() #
f1 = StringIO('Python-100' + '\n' + '100')
#
print(f1.read())
f1.close()
# outputData()
# dataStr
dataStr = outputData()
# 1. outputData()
dat... | [
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10... | 2.134409 | 372 |
import biothings.hub.dataload.uploader as uploader
| [
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"""Contains tests for finpack/core/cli.py
"""
__copyright__ = "Copyright (C) 2021 Matt Ferreira"
import os
import unittest
from importlib import metadata
from docopt import docopt
from finpack.core import cli
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enemy = Yaratik()
enemy.move_left()
# ejderha also includes all functions from parent class (yaratik)
ejderha = Ejderha()
ejderha.move_left()
ejderha.Ates_puskurtme()
# Zombie is called the (child class), inherits from Yaratik (parent class)
zombie = Zombie()
zombie.move_right()
zombie.Isirmak()
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108... | 2.657895 | 114 |
"""
Author: Peratham Wiriyathammabhum
"""
import numpy as np
import pandas as pd
from sklearn.neighbors import NearestNeighbors
def affinity_graph(X):
'''
This function returns a numpy array.
'''
ni, nd = X.shape
A = np.zeros((ni, ni))
for i in range(ni):
for j in range(i+1, ni):
dist = ((X[i] - X[j])**... | [
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1... | 2.131285 | 716 |
# Copyright 2019 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""This package houses all subcommands for the recipe engine.
See implementation_details.md for the expectations of the modules in this
directory... | [
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# Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
"""STCPipelinemodule."""
import numpy as np
import gzip as gz
from .pipeline import TransformationPipeline, Transformer
| [
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#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# ------------------------------------------------------------
# File: __init__.py.py
# Created Date: 2020/6/24
# Created Time: 0:12
# Author: Hypdncy
# Author Mail: hypdncy@outlook.com
# Copyright (c) 2020 Hypdncy
# ---------------------------------------------------------... | [
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... | 1.851852 | 621 |
import numpy as np
import pytest
from pytest import approx
from pymt.component.grid import GridMixIn
| [
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198
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import sys
if __name__ == "__main__":
mylog = sys.argv[1]
correctlog = sys.argv[2]
mylog_sp = load_log_sp(mylog)
correctlog_sp = load_log_sp(correctlog)
for (i, ((nb1, sp1), (nb2, sp2))) in enumerate(zip(mylog_sp, correctlog_sp)):
print('{} {} - {} vs {}'.format(
nb1, nb2, sp1, ... | [
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... | 1.981567 | 217 |
"""Exercise 1
Usage:
$ CUDA_VISIBLE_DEVICES=2 python practico_1_train_petfinder.py --dataset_dir ../ --epochs 30 --dropout 0.1 0.1 --hidden_layer_sizes 200 100
To know which GPU to use, you can check it with the command
$ nvidia-smi
"""
import argparse
import os
import mlflow
import pickle
import numpy as np
impo... | [
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... | 3.32377 | 244 |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from pkg_resources import parse_version
from warnings import warn
from copy import deepcopy
import networkx as nx
from networkx.readwrite import json_graph
from catpy.applications.base import CatmaidClientApplication
NX_VERSION_INFO = parse_version(nx.... | [
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... | 2.456667 | 600 |
from typing import Optional
from watchmen_auth import PrincipalService
from watchmen_data_kernel.cache import CacheService
from watchmen_data_kernel.common import DataKernelException
from watchmen_data_kernel.external_writer import find_external_writer_create, register_external_writer_creator
from watchmen_meta.common... | [
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nota1 = float(input('Digite a nota da primeira nota '))
peso1 = float(input('Digite o peso da primeira nota '))
nota2 = float(input('Digite a nota da seugundo nota '))
peso2 = float(input('Digite o peso da segundo nota '))
media = (nota1/peso1+nota2/peso2)/2
print('A mdia das duas notas :', media)
| [
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166... | 2.416 | 125 |
from importlib import import_module
from typing import Any
def import_string(path: str) -> Any:
"""Imports a dotted path name and returns the class/attribute.
Parameters
----------
path: str
Dotted module path to retrieve.
Returns
-------
Class/attribute at the given import path.... | [
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#!/usr/bin/env python
import json
import os
import re
from enum import Enum
from os.path import join
from le_utils.constants import content_kinds
from le_utils.constants import exercises
from le_utils.constants import file_formats
from le_utils.constants import licenses
from ricecooker.chefs import SushiChef
from ric... | [
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... | 1.808682 | 11,541 |
# ##### BEGIN GPL LICENSE BLOCK #####
#
# 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 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | [
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1378... | 3.680851 | 235 |
import numpy as np
import os
import json
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader, TensorDataset
from naslib.utils.utils import AverageMeterGroup
from naslib.predictors.utils.encodings import encode
from naslib.predictors imp... | [
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2... | 3.393443 | 122 |
from pythonforandroid.toolchain import Recipe, shprint, current_directory, ArchARM
from os.path import exists, join, realpath
from os import uname
import glob
import sh
recipe = LibX264Recipe()
| [
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1... | 3.62963 | 54 |
#coding=utf-8
try:
if __name__.startswith('qgb.Win'):
from .. import py
else:
import py
except Exception as ei:
raise ei
raise EnvironmentError(__name__)
if py.is2():
import _winreg as winreg
from _winreg import *
else:
import winreg
from winreg import *
def get(skey,name,root=HKEY_CURRENT_USER,returnTyp... | [
2,
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... | 2.265896 | 519 |
import unittest
import paramiko
from tornado.httputil import HTTPServerRequest
from tests.utils import read_file, make_tests_data_path
from webssh.handler import MixinHandler, IndexHandler, InvalidValueError
| [
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13... | 3.767857 | 56 |
import logging
from unittest import mock
from unittest.mock import call
from django.conf import settings
from django.contrib.auth import get_user_model
from django.core.signing import Signer
from django.urls import reverse
from django.http import Http404
from django.test import RequestFactory
from braces.views import... | [
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... | 3.072165 | 388 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import sys
import os
sys.path.insert(0, os.path.abspath('..'))
from clint import resources
resources.init('kennethreitz', 'clint')
lorem = 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt... | [
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from django.conf.urls import url
from django.conf import settings
from django.conf.urls.static import static
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^image/$', views.add_image, name='upload_image'),
url(r'^profile/$', views.profile_info, name='profile'),
url(r'... | [
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... | 2.564669 | 317 |
import random
import math
from fractions import Fraction
from datetime import datetime
from jinja2 import Template
# empty class for passing to template engine
# returns flour percent using flour type
def get_special_flour_percent(flourType: str, breadFlourPercent:int) -> int:
if flourType == 'Hard Red Whole Wheat'... | [
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329,
6427,
284,
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3113,
220,
198,
198,
2,
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1060... | 3.521445 | 443 |
import datetime
from unittest.mock import patch
import dns.resolver
import dns.rrset
import pytest
import pytz
from django.utils import timezone
from freezegun import freeze_time
from rest_framework import status
from posthog.models import Organization, OrganizationDomain, OrganizationMembership, Team
from posthog.te... | [
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14208,
13,
... | 2.542525 | 1,117 |
import numpy as np
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
from os import listdir
from tensorflow.keras.callbacks import ModelCheckpoint
dataDir = "./data/trainSmallFA/"
files = listdir(dataDir)
files.sort()
totalLength = len(files)
inputs = np.empty((len(files), 3, 64, 64)... | [
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11192,... | 2.189474 | 570 |
from pepper.framework import *
from pepper import logger
from pepper.language import Utterance
from pepper.language.generation.thoughts_phrasing import phrase_thoughts
from pepper.language.generation.reply import reply_to_question
from .responder import Responder, ResponderType
from pepper.language import UtteranceTy... | [
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# -*- coding: utf-8 -*-
import re
from unicodedata import normalize
from flask import Blueprint, render_template, current_app
from flask import redirect, url_for, g, abort
from sqlalchemy import desc
from fedora_college.core.database import db
from fedora_college.modules.content.forms import * # noqa
from fedora_colle... | [
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"""Test the Airthings config flow."""
from unittest.mock import patch
import airthings
from homeassistant import config_entries
from homeassistant.components.airthings.const import CONF_ID, CONF_SECRET, DOMAIN
from homeassistant.core import HomeAssistant
from homeassistant.data_entry_flow import RESULT_TYPE_CREATE_EN... | [
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... | 3.019737 | 152 |
# ------------------------------------------------------------------------------
# Copyright (c) NKU
# Licensed under the MIT License.
# Written by Xuanyi Li (xuanyili.edu@gmail.com)
# ------------------------------------------------------------------------------
import os
import torch
import torch.nn.functional as F
#... | [
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1... | 2.54386 | 456 |
from aiohttp import web
import base64
import io
import face_recognition
main()
| [
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] | 3.333333 | 24 |
# ~~~
# This file is part of the paper:
#
# " An Online Efficient Two-Scale Reduced Basis Approach
# for the Localized Orthogonal Decomposition "
#
# https://github.com/TiKeil/Two-scale-RBLOD.git
#
# Copyright 2019-2021 all developers. All rights reserved.
# License: Licensed as BSD 2-Clause ... | [
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... | 2.406593 | 273 |
import os
import shutil
import numpy as np
import pandas as pd ... | [
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220,
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220,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,... | 1.25741 | 6,410 |
import os
if __name__ == "__main__":
dims = ["32", "64", "128", "256", "512", "1024", "2048"]
for dim in dims:
os.system(
f"perf stat -e r11 -x, -r 10 ../matmul.out ../data/mat-A-{dim}.txt ../data/mat-B-{dim}.txt ./out/out-{dim}.txt 2>>res_arm.csv"
)
print(f"Finished {dim}... | [
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... | 1.965909 | 176 |
# coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | [
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1... | 3.097561 | 164 |
# Copyright (c) 2022, salesforce.com, inc.
# All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
import os
import re
import time
import random
import argparse
import torch
from transformers import ... | [
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2... | 4.024155 | 207 |
import unittest
from services import RoverRunnerService
from tests.test_environment.marses import small_mars_with_one_rover_empty_commands
from tests.test_environment import mocks as m
from data_objects import Rover
| [
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92... | 3.677966 | 59 |
import argparse
import warnings
warnings.simplefilter("ignore", UserWarning)
import files
from tensorboardX import SummaryWriter
import os
import numpy as np
import time
import torch
import torch.optim
import torch.nn as nn
import torch.utils.data
import torchvision
import torchvision.transforms as tfs
from data impo... | [
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299,
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19... | 2.311573 | 1,011 |
# -*- coding: utf-8 -*-
from tests import HangulizeTestCase
from hangulize.langs.vie import Vietnamese
| [
2,
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8181,
377,
1096,
13,
17204,
82,
13,
85,
494,
1330,
23618,
198
] | 2.861111 | 36 |
from mathlibpy.functions import *
import unittest
if __name__ == "__main__":
unittest.main()
| [
6738,
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834,
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198,
220,
220,
220,
555,
715,
395,
13,
12417,
3419,
198
] | 2.615385 | 39 |
if __name__ == '__main__':
letters = ["c", "f", "j"]
target = "a"
print(f"Input: letters = {letters}, target = {target}")
print(f"Output: {Solution().nextGreatestLetter(letters, target)}")
| [
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1,
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220,
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7,
69,
1,
205... | 2.555556 | 81 |
import nonebot
from nonebot import on_command
from nonebot.rule import to_me
from nonebot.typing import T_State
from nonebot.adapters import Bot, Event
from nonebot.log import logger
from .config import global_config
from .schedule import anti_cpdaily_check_routine
cpdaily = on_command('cpdaily')
scheduler = nonebot... | [
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... | 3.3125 | 112 |
"""
============
Dollar Ticks
============
Use a `~.ticker.FormatStrFormatter` to prepend dollar signs on y axis labels.
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, ax = plt.subplots()
ax.plot(100*np... | [
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198,
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299,
32152,
355... | 2.910714 | 336 |
import json
import re
from flask import request, abort, jsonify
from Chibrary import config
from Chibrary.config import logger
from Chibrary.exceptions import *
from functools import wraps
from urllib import parse
from Chibrary.server import db
"""
{
code: ...,
message: ...,
data: ...,
}
"""
# ... | [
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609,
4115,
13,
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11755,
1330,
1635,
198,
6738,
1257,... | 1.697931 | 725 |
import numpy as np
from something import Top
i = 0
while i < 10:
a = np.ndarray((10,4))
b = np.ones((10, Top))
i += 1
del Top
# show_store()
| [
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220,
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... | 2.279412 | 68 |
from aiohttp_admin2.mappers import Mapper
from aiohttp_admin2.mappers import fields
def test_correct_float_type():
"""
In this test we check success convert to float type.
"""
mapper = FloatMapper({"field": 1})
mapper.is_valid()
assert mapper.data["field"] == 1.0
mapper = FloatMapper({"... | [
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62,
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62,
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62,
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220,
220,
220,
37227,
... | 2.623824 | 319 |
"""
Try to load all of the MODFLOW-USG examples in ../examples/data/mfusg_test.
These are the examples that are distributed with MODFLOW-USG.
"""
import os
import flopy
# make the working directory
tpth = os.path.join("temp", "t038")
if not os.path.isdir(tpth):
os.makedirs(tpth)
# build list of name files to try... | [
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2... | 2.352018 | 446 |
#!/usr/bin/env python3
import os
from argparse import ArgumentParser, ArgumentTypeError, FileType, Namespace
from typing import Any
| [
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from typing import Optional
from asn1crypto import core, x509, cms
__all__ = [
'Target', 'TargetCert', 'Targets', 'SequenceOfTargets',
'AttrSpec', 'AAControls'
]
# Blame X.509...
def _make_tag_explicit(field_decl):
tag_dict = field_decl[2]
if 'explicit' in tag_dict:
return
tag_dic... | [
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3256,... | 2.408935 | 582 |
from model.group import Group
import random
| [
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] | 4.4 | 10 |
'''
Autor: Gurkirt Singh
Start data: 15th May 2016
purpose: of this file is read frame level predictions and process them to produce a label per video
'''
from sklearn.svm import LinearSVC
from sklearn.ensemble import RandomForestClassifier
import numpy as np
import pickle
import os
import time,json
import pylab as pl... | [
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import csv
if __name__ == '__main__':
data = '''book_title,author,publisher,pub_date,isbn
Python 101,Mike Driscoll, Mike Driscoll,2020,123456789
wxPython Recipes,Mike Driscoll,Apress,2018,978-1-4842-3237-8
Python Interviews,Mike Driscoll,Packt Publishing,2018,9781788399081'''
records = []
for... | [
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220,... | 2.382239 | 259 |
# SPDX-FileCopyrightText: 2017 Fermi Research Alliance, LLC
# SPDX-License-Identifier: Apache-2.0
import pytest
from decisionengine.framework.modules import Publisher, Source
from decisionengine.framework.modules.Module import verify_products
from decisionengine.framework.modules.Source import Parameter
| [
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... | 3.949367 | 79 |
import torch
import torch.nn as nn
from torch.nn.functional import max_pool1d
from utility.model_parameter import Configuration, ModelParameter
| [
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] | 3.842105 | 38 |
'''
<xs:complexType name="backup">
<xs:annotation>
<xs:documentation></xs:documentation>
</xs:annotation>
<xs:sequence>
<xs:group ref="duration"/>
<xs:group ref="editorial"/>
</xs:sequence>
</xs:complexType>
'''
from musicscore.dtd.dtd import Sequence, GroupReference, Element
from musicscore.musicxml... | [
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... | 2.841176 | 170 |
import nltk
import re
import csv
import string
import collections
import numpy as np
from nltk.corpus import wordnet
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from nltk.tokenize import WordPunctTokenizer
from sklearn.metrics import classification_report
from sklearn.metric... | [
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... | 2.538124 | 1,141 |
import torch
import numpy as np
import hashlib
from torch.autograd import Variable
import os
| [
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628... | 2.813953 | 43 |
from ibm_watson import TextToSpeechV1, SpeechToTextV1, DetailedResponse
from os import system
from json import loads
if __name__ == '__main__':
main()
| [
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... | 2.962963 | 54 |
from subprocess import run
| [
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] | 4.666667 | 6 |
# Generated by Django 2.1.7 on 2019-02-23 23:45
from django.db import migrations
| [
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] | 2.766667 | 30 |
from . import (emoji as emj,
keyboards as kb,
telegram as tg,
phrases as phr,
finance as fin,
utils,
glossary,
bots,
gcp,
sed,
db)
| [
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573... | 1.448454 | 194 |
#!/usr/bin/env python
# -*- coding: utf-8
"""
:mod:`question.serializers` -- serializers
"""
from rest_framework import serializers
from .models import Question, PossibleAnswer
from category.models import Category
| [
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# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'src/ui_ShowResultDialog.ui'
#
# Created: Sat May 16 17:05:43 2015
# by: PyQt5 UI code generator 5.4
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from widgets.ImageLabel import Ima... | [
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25... | 2.852174 | 115 |
"""
mixcoatl.admin.api_key
----------------------
Implements access to the DCM ApiKey API
"""
from mixcoatl.resource import Resource
from mixcoatl.decorators.lazy import lazy_property
from mixcoatl.decorators.validations import required_attrs
from mixcoatl.utils import uncamel, camelize, camel_keys, uncamel_keys
impor... | [
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5... | 3.31 | 100 |
my_set = {1, 3, 5}
my_dict = {'name': 'Jose', 'age': 90}
another_dict = {1: 15, 2: 75, 3: 150}
lottery_players = [
{
'name': 'Rolf',
'numbers': (13, 45, 66, 23, 22)
},
{
'name': 'John',
'numbers': (14, 56, 80, 23, 22)
}
]
universities = [
{
'name': 'Oxford',... | [
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16,
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11,
362,
25,
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11,
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25,
6... | 1.746835 | 237 |
"""Class :py:class:`QWTable` is a QTableView->QWidget for tree model
======================================================================
Usage ::
# Run test: python lcls2/psdaq/psdaq/control_gui/QWTable.py
from psdaq.control_gui.QWTable import QWTable
w = QWTable()
Created on 2019-03-28 by Mikhail D... | [
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8... | 2.569087 | 427 |
"""Extension loader for filetype handlers.
The extension objects provided by MIMEExtensionLoader objects have four
attributes: parse, embed, add_options, and update_options. The first two
are used as handlers for supporting the MIME type as primary and embeded
resources. The last two are (currently) only used for pr... | [
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... | 3.803738 | 107 |
# coding: utf-8
# (C) Copyright IBM Corp. 2021.
#
# 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... | [
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2,
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743,
407,
779,
428,
... | 2.512379 | 7,149 |
import functions
from pytest import approx
from bcca.test import should_print
def test_min_insurance():
assert functions.min_insurance(100000) == approx(80000.0)
assert functions.min_insurance(123456789) == approx(98765431.2)
assert functions.min_insurance(0) == approx(0.0)
assert functions.mi... | [
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220,
220,
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62,
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38... | 2.686709 | 316 |
from django.contrib import admin
from .models import Product
admin.site.register(Product) | [
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] | 3.75 | 24 |
# coding=utf-8
from __future__ import unicode_literals
from .base import BasePlugin
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#!/usr/bin/env python3
# Project: VUT FIT SUI Project - Dice Wars
# Authors:
# - Josef Kol <xkolar71@stud.fit.vutbr.cz>
# - Dominik Harmim <xharmi00@stud.fit.vutbr.cz>
# - Petr Kapoun <xkapou04@stud.fit.vutbr.cz>
# - Jindich estk <xsesta05@stud.fit.vutbr.cz>
# Year: 2020
# Description: Generates g... | [
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... | 2.402715 | 442 |
import functools
import sys
from contextlib import contextmanager
import pytest
_orig_trace = None
# if _orig_trace and not hasattr(sys, "pypy_version_info"):
# Fails with PyPy2 (https://travis-ci.org/antocuni/pdb/jobs/509624590)?!
| [
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468,
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175... | 2.711111 | 90 |
""" Various generic env utilties. """
def center_crop_img(img, crop_zoom):
""" crop_zoom is amount to "zoom" into the image. E.g. 2.0 would cut out half of the width,
half of the height, and only give the center. """
raw_height, raw_width = img.shape[:2]
center = raw_height // 2, raw_width // 2
cro... | [
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... | 2.377323 | 538 |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import mock
from exam import fixture
from sentry import options
from sentry.models import Project
from sentry.testutils import TestCase
from sentry.utils.http import (
is_same_domain, is_valid_origin, get_origins, absolute_uri, is_valid_ip,
)
| [
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5... | 3.067308 | 104 |
# -*- coding: utf-8 -*-
"""WebHelpers used in project."""
#from webhelpers import date, feedgenerator, html, number, misc, text
from markupsafe import Markup | [
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import sys;
from Thesis.load.loadBenchmark import runLoadBenchmarkAsBatch;
from Thesis.cluster.RiakCluster import RiakCluster;
NORMAL_BINDING = 'riak';
CONSISTENCY_BINDING = 'riak_consistency';
IPS_IN_CLUSTER = ['172.16.33.14', '172.16.33.15', '172.16.33.16', '172.16.33.17', '172.16.33.18'];
cluster = RiakCluster(NO... | [
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... | 2.071429 | 280 |
# coding: utf-8
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
import unittest
from mock import patch
from auto_nag.people import People
from auto_nag.round_robin im... | [
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... | 3.211009 | 109 |
# should re-write compiled functions to take a local and global dict
# as input.
from __future__ import absolute_import, print_function
import sys
import os
from . import ext_tools
from . import catalog
from . import common_info
from numpy.core.multiarray import _get_ndarray_c_version
ndarray_api_version = '/* NDARRA... | [
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1... | 2.577616 | 4,387 |
# Copyright 2015 Tesora 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 a... | [
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... | 3.436735 | 245 |
import pathlib
import yaml
documentations = {"Our Platform": "QuantConnect-Platform-2.0.0.yaml",
"Alpha Streams": "QuantConnect-Alpha-0.8.yaml"}
for section, source in documentations.items():
yaml_file = open(source)
doc = yaml.load(yaml_file, Loader=yaml.Loader)
paths = doc["paths"]
... | [
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... | 1.896811 | 2,258 |
from .utils import get_request, authorized
| [
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] | 4.3 | 10 |
from django.conf.urls import url
# from .views import BaseIndexView
urlpatterns = [
# url(r'^$', BaseIndexView.as_view(), name="index"),
] | [
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6... | 2.769231 | 52 |
# Copyright (c) 2018, Palo Alto Networks
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS... | [
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2... | 3.003967 | 3,277 |
import glob
import logging
import os
import warnings
import pytest
from _pytest.outcomes import Failed
from _pytest.reports import TestReport
from .broker_pact import BrokerPact, BrokerPacts, PactBrokerConfig
from .result import PytestResult, log
# Future options to be implemented. Listing them here so naming cons... | [
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... | 2.245513 | 1,393 |
# -*- coding: utf-8 -*-
def docstring_property(class_doc):
"""Property attribute for docstrings.
Took from: https://gist.github.com/bfroehle/4041015
>>> class A(object):
... '''Main docstring'''
... def __init__(self, x):
... self.x = x
... @docstring_property(__doc__)... | [
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import warnings
try:
import cudasift as cs
except:
cs = None
import numpy as np
import pandas as pd
def match(edge, aidx=None, bidx=None, **kwargs):
"""
Apply a composite CUDA matcher and ratio check. If this method is used,
no additional ratio check is necessary and no symmetry check is requir... | [
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... | 2.5722 | 741 |
from flask_restx import Api
from app.apis.hello import api as hello
api = Api(
title='api',
version='1.0',
description='',
prefix='/api',
doc='/api'
)
api.add_namespace(hello)
| [
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... | 2.341176 | 85 |
# coding: utf-8
import unittest
from test.support import captured_stdout
from brainfuck import BrainFuck
if __name__ == "__main__":
unittest.main()
| [
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