content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
# Generated by Django 3.0.3 on 2021-05-07 01:58
from django.db import migrations, models
| [
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# Copyright (c) 2020 Chris ter Beke.
# Thingiverse plugin is released under the terms of the LGPLv3 or higher.
import logging
from typing import List, Callable, Any, Tuple, Optional
from abc import ABC, abstractmethod
from PyQt5.QtCore import QUrl
from PyQt5.QtNetwork import QNetworkAccessManager, QNetworkReply, QNetw... | [
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... | 2.855042 | 476 |
from . import test_conversion
from . import test_generic
from . import test_idxgz
from . import test_settings
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] | 3.548387 | 31 |
import subprocess
import time
import os
import sys
commands = generate_synthetic_commands(kernel)
commands = commands + generate_real_commands(kernel)
commands = commands + generate_el_commands(kernel)
prettify(commands)
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1... | 2.714286 | 91 |
import numpy as np
from kneeOsteoarthritisDataset.KneeOsteoarthritsDataset import KneeOsteoarthritsDataset
data_path = '/home/biomech/Documents/OsteoData/KneeXrayData/ClsKLData/kneeKL299'
kneeosteo = KneeOsteoarthritsDataset(data_path = data_path)
imgs, labels = kneeosteo.load_imgs()
rand_idx = np.random.randint(lo... | [
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7... | 2.290909 | 220 |
print("SD bootloader")
import pycom
import time
import machine
import sys
import uos
#paths for the code/lib/mount locations
SD_MOUNTPOINT = '/sd'
CODE_PATH = '/sd/src'
LIB_PATH = '/sd/src/lib'
#LED colors
#for errors (full brightness)
C_YELLOW = 0xffff00
C_RED = 0xff0000
C_PURPLE = 0xff00ff
C_BLUE = 0x0000ff
#for n... | [
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19385... | 2.2603 | 534 |
import os
import sys
import copy
from math import gcd
from driver_config_macros import *
from data_capture_macros import *
from signal_generator_macros import *
from power_operation_macros import *
from capture_config_macros import *
from trig_config_macros import *
from data_processing_macros import *
from PyQt5 impor... | [
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6738,
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135... | 2.73224 | 549 |
import cgroup_parser
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# Copyright 2022 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... | [
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198... | 2.444179 | 2,096 |
# -*- coding: utf-8 -*-
# ********************************************************
# Author and developer: Aleksandr Suvorov
# --------------------------------------------------------
# Licensed: BSD 3-Clause License (see LICENSE for details)
# --------------------------------------------------------
# Url: https://git... | [
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... | 5.280702 | 114 |
from hallo.events import EventMessage, EventMode
from hallo.server import Server
from hallo.test.server_mock import ServerMock
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62... | 3.14 | 50 |
from base64 import b64encode
from flask import Flask, jsonify, request
from functools import reduce
from gevent import subprocess, pywsgi, queue, socket, spawn, lock
from gevent.subprocess import CalledProcessError
from hashlib import sha512
from pathlib import Path
from tempfile import mkstemp
import json
import os
im... | [
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11,... | 2.437272 | 821 |
import datetime
import math
import random
import time
from ..users.models import User
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import dataclasses
import enum
import typing
from vkmodels.bases.object import ObjectBase
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import curifactory as cf
import json
import os
import pytest
from stages.cache_stages import filerefcacher_stage, filerefcacher_stage_multifile
# TODO: necessary? configured_test_manager already does this
def test_filerefcacher_stores_multiple_paths(configured_test_manager, clear_stage_run):
"""FileReferenceCa... | [
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... | 2.445104 | 1,011 |
import urllib
import time
from multiprocessing.dummy import Pool as ThreadPool
excelFolder = 'F://SecExcelDownload2/'
compListUrl = 'C://Users/l1111/Desktop/AlphaCapture/downloadFileUrl.txt'
successFile = excelFolder+'/success.txt'
failFile = excelFolder+'/fail.txt'
logFile = excelFolder+'/log.txt'
downloadedList =... | [
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... | 3.191667 | 120 |
#/*
# * Copyright 2016 -- 2021 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 applic... | [
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import json
import re
import random
if __name__ == "__main__":
data, gramindex = {}, NGram()
gramind3x = NGram(size=3)
gram1ndex = NGram(size=1)
with open('dump', 'r') as f:
data = json.load(f)
for tweet in data['tweet']:
gramindex.index(tweet)
gramind3x.index(tweet)
... | [
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import os
from mir.scm.cmd import CmdScm
from mir.tools.code import MirCode
from mir.tools.errors import MirRuntimeError
def Scm(root_dir: str, scm_executable: str = None) -> CmdScm:
"""Returns SCM instance that corresponds to a repo at the specified
path.
Args:
root_dir (str): path t... | [
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"""
Software: LingFeat - Comprehensive Linguistic Features for Readability Assessment
Page: utils.py
License: CC-BY-SA 4.0
Original Author: Bruce W. Lee () @brucewlee
Affiliation 1: LXPER AI, Seoul, South Korea
Affiliation 2: University of Pennsylvania, PA, USA
Contributing Author: -
Affiliation : -
"""
import re
impo... | [
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... | 3.478723 | 94 |
# Generated by Django 3.2.8 on 2021-10-31 23:57
from django.db import migrations, models
| [
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] | 2.84375 | 32 |
# Usage:
# python bwfilter.py --input=./data/test1.jpg
import cv2
import numpy as np
import argparse
if __name__=='__main__':
args = parse_args()
img = cv2.imread(args.input, 0)
bwimg = bwfilter(img)
show_img(bwimg)
cv2.imwrite('bwimg.png', bwimg) | [
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... | 2.123077 | 130 |
from networkx import DiGraph
from pytest import fixture
from resotolib.graph.graph_extensions import dependent_node_iterator
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from django.contrib.auth.models import AbstractUser
from django.db import models
from django.urls import reverse
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#!/usr/bin/env python3.4
import functools
if __name__ == '__main__':
doz_sums = CrossSums('0123456789XE')
print('Sums totalling 15:')
for ds in doz_sums.filter(total='15'):
print(' ', ds)
print('\nSums containing addends 3-X inclusive:')
for ds in doz_sums.filter(addends='3456789X'... | [
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1... | 2.195122 | 287 |
import base64
import re
| [
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# may 30 20
| [
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] | 2.4 | 5 |
import xlwings as xw
import random
import pandas as pd
def capm(risk_free, beta, market_ret, epsilon):
return risk_free + beta * (market_ret - risk_free) + epsilon
def capm_auto_epsilon(risk_free, beta, market_ret, epsilon_stdev):
epsilon = random.normalvariate(0, epsilon_stdev)
return ca... | [
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# -*- coding: UTF-8 -*-
import ConfigParser
import os
import inspect
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from .detection import FDetector
from .haar_detector import HaarDetector
from .hog_detector import Hog_detector
from .mtcnn_detector import MTCNNDetector
from .dnn_detector import DnnDetector
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66,
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925... | 3.147541 | 61 |
import torchvision.datasets as datasets
from torch.utils.data import Dataset
from itertools import combinations
import math
import psutil
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] | 3.815789 | 38 |
# iaga.utils
# Utility functions and helpers
#
# Author: Benjamin Bengfort <benjamin@bengfort.com>
# Created: Wed Aug 08 12:00:44 2018 -0400
#
# ID: utils.py [] benjamin@bengfort.com $
"""
Utility functions and helpers
"""
##########################################################################
## Imports
########... | [
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'''Faa um programa que receba dois nmeros, compare e diga quem maior. Mostrando a msn qual valor maior ou menor. OU diga que os valores so iguais.'''
print('=+=+=+=+=+=+=+=+='*3)
titulo = 'COMPARANDO NMEROS MAIOR, MENOR E IGUAL'
print('{:^51}'.format(titulo))
print('-----------------'*3)
num1 = float(input('Digite o ... | [
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77,
4140,
1188,
273,
220,
17266,
1504,
267,
84,
1450,
273,
13,
47... | 2.268293 | 328 |
eggs = 42 # this is the global var
spam()
print(eggs)
| [
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198,
4798,
7,
33856,
82,
8,
198
] | 2.5 | 22 |
# Copyright 2017-2019 Cedric Legrand
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, di... | [
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# -*- coding: utf-8 -*-
"""
04_Tutorial_Boolean
"""
# In this tutorial we learn how to do boolean operations between groups of
# polygons
# Let's import basic stuff
import samplemaker.layout as smlay # used for layout
import samplemaker.makers as sm # used for drawing
# Create a simple mask layout
themask = smlay... | [
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from tabulate import tabulate
| [
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] | 4.285714 | 7 |
"""Test cvejob.version.BenevolentVersion."""
from cvejob.version import BenevolentVersion
def test_version_basic():
"""Test basic behavior."""
assert BenevolentVersion('1') == BenevolentVersion('1')
assert BenevolentVersion('1') != BenevolentVersion('2')
assert BenevolentVersion('1') < BenevolentVersi... | [
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... | 2.752784 | 898 |
#!/bin/python3
import math
import os
import random
import re
import sys
import string
if __name__ == '__main__':
try:
t = int(input().strip())
except:
print('Invalid input.')
if t>=1 and t<=10:
for a0 in range(t):
s = input().strip()
index = 0
... | [
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... | 1.810164 | 669 |
import sublime, sublime_plugin
import os
import json
| [
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] | 4.076923 | 13 |
# Schnell Nautilus Extension
#
# Place me in ~/.local/share/nautilus-python/extensions/,
# ensure you have python-nautilus package, restrart Nautilus, and enjoy :)
from gi import require_version
require_version('Gtk', '3.0')
require_version('Nautilus', '3.0')
from gi.repository import Nautilus, GObject
from subprocess... | [
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3... | 3 | 169 |
# Generated by the pRPC protocol buffer compiler plugin. DO NOT EDIT!
# source: service.proto
import base64
from google.protobuf import descriptor_pb2
# Includes description of the service.proto and all of its transitive
# dependencies. Includes source code info.
FILE_DESCRIPTOR_SET = descriptor_pb2.FileDescriptorS... | [
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4084... | 1.382951 | 53,905 |
from pymongo import MongoClient
import random as r
import os
client = MongoClient(os.environ["MONGO_LAB"])
db = client.get_database("hetmanbot")
collection = db['data_base']
| [
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... | 3.125 | 56 |
from django.contrib import admin
# Register your models here.
from . import models
from .models import Article, Comment
# title = title,
# content = content,
# square_open = square_open,
# expire_time = expire_time,
# status = status,
# author_id_id = user_id,
# diary_type = diary_type,
# admin.site.register(Articl... | [
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... | 3.211382 | 123 |
# - * - coding: utf-8 - * -
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy.signal
from ..signal import signal_smooth
from ..signal import signal_zerocrossings
def ecg_findpeaks(ecg_cleaned, sampling_rate=1000, method="neurokit", show=False):
"""Find R-peaks in an ECG signal... | [
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... | 2.093653 | 14,244 |
import inspect
import sys
from enum import IntEnum
from tflite.ActivationFunctionType import ActivationFunctionType
from tflite.BuiltinOperator import BuiltinOperator
# In Python 3.6, we cannot make ExtendedOperator derive from IntEnum
if sys.version_info >= (3, 7):
bases = (IntEnum, )
else:
bases = ()
# ... | [
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284... | 2.731707 | 328 |
PACKAGE_NAME = 'mkdocs_markmap'
PROJECT_NAME = PACKAGE_NAME.replace('_', '-')
PROJECT_VERSION = '2.1.3'
OWNER = 'neatc0der'
REPOSITORY_NAME = f'{OWNER}/{PROJECT_NAME}'
| [
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1... | 2.139241 | 79 |
from django.conf.urls import url
from rest_framework.routers import DefaultRouter
from apps.homes import views
urlpatterns = [
url(r'^areas/$', views.AreaAPIView.as_view()),
# url(r'^houses/$', views.HouseAPIView.as_view()),
#
url(r'^user/houses/$', views.HouseListView.as_view()),
#
url(r'^h... | [
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685,
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220,
220,
220,
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... | 2.513932 | 323 |
import socket
import ssl
import sys
hostname = '127.0.0.1'
if len(sys.argv) < 2:
exit(0)
inputfile = sys.argv[1]
print('\tRead file %s' % inputfile)
# msg = b"HEAD / HTTP /1.0\r\nHost: linuxfr.org\r\n\r\n"
msg = open(inputfile).read()
msg = bytes(msg.encode())
context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
con... | [
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... | 2.212329 | 292 |
from typing import Callable
| [
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198
] | 4.666667 | 6 |
import numpy as np
from scipy.misc import imread, imsave
from scipy import ndimage
img = imread('doc1.bmp')
F = np.vectorize(f)
treated_img = F(img)
imsave('treated_doc.bmp', treated_img)
mask = treated_img < treated_img.mean()
label_im, nb_labels = ndimage.label(mask)
sizes = ndimage.sum(mask, label_im, range(n... | [
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628,
198,
37,
7... | 2.376344 | 186 |
import os
from dotenv import load_dotenv
import sqlite3
import psycopg2
from psycopg2.extras import execute_values
load_dotenv() # looks inside the .env file for some env vars
# passes env var values to python var
DB_HOST = os.getenv("DB_HOST", default="OOPS")
DB_NAME = os.getenv("DB_NAME", default="OOPS")
DB_USER = ... | [
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62,
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198,
198,
2220,
62,
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24330... | 2.589242 | 409 |
#: L23 Port Transceiver Commands
from dataclasses import dataclass
import typing
from ..protocol.command_builders import (
build_get_request,
build_set_request
)
from .. import interfaces
from ..transporter.token import Token
from ..protocol.fields.data_types import *
from ..protocol.fields.field import XmpFi... | [
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198,
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62,
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62,
2592... | 3.442478 | 113 |
# Copyright (c) 2020, 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 ... | [
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198,
2,
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743,
407,... | 2.425504 | 5,356 |
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
| [
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2... | 2.693548 | 62 |
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold, KFold
no_of_folds = 3
# Dataset cmc
data_cmc = pd.read_csv("data/cmc.data", header=None)
data_cmc[9] = np.where(data_cmc[9] == 1, 0, 1)
data_cmc_label = data_cmc.pop(9)
x... | [
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62,
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42,
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# coding: utf-8
from flask.ext import wtf
import flask
import wtforms
import auth
import config
import model
import util
from main import app
###############################################################################
# Admin Stuff
###############################################################################... | [
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from datetime import datetime
from django.views.generic.base import TemplateView
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from .models import MONTH_DICT, MONTH_LIST, YEARS,CARRIER_LIST
from .forms import BSfilterForm
from .main import _init_SCRAPER
def index(request)... | [
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... | 2.443636 | 550 |
import argparse
import importlib
import logging
import sys
logger = logging.getLogger()
COMMAND_MODULES = (
'ncdoublescrape.scrape',
)
if __name__ == '__main__':
main() | [
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1... | 2.585714 | 70 |
#!/usr/bin/env python
############################################################################
# #
# Copyright 2014 Prelert Ltd #
# ... | [
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... | 2.023945 | 877 |
# Python3
from solution1 import twoTeams as f
qa = [
([1, 11, 13, 6, 14],
11),
([3, 4],
-1),
([16, 14, 79, 8, 71, 72, 71, 10, 80, 76, 83, 70, 57, 29, 31],
209),
([23, 72, 54, 4, 88, 91, 8, 44],
-38),
([23, 74, 57, 33, 61, 99, 19, 12, 19, 38, 77, 70, 20],
-50)
]
for *q, a ... | [
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2... | 1.821958 | 337 |
from __future__ import print_function
import boto3
from decimal import Decimal
import json
import urllib
from botocore.vendored import requests
print('Loading function')
rekognition = boto3.client('rekognition')
s3 = boto3.resource("s3")
# --------------- Helper Functions to call Rekognition APIs -----------------... | [
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479... | 2.325 | 1,560 |
import socket
import sqlite3
if __name__ == "__main__":
Main().run()
| [
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] | 2.606061 | 33 |
from typing import Any
# There is no point implementing a stack with a linkedlist
# since we'd majorly be interacting with the topmost item
# in the stakc -- this is what arrays are optimized for | [
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2,
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64... | 4.125 | 48 |
import collections
import os
from pathlib import Path
enum = enumerate
HOME = str(Path.home())
DESKTOP = os.path.join(HOME, 'Desktop')
DEBUG = True
NORMAL = False
| [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
from .common import Base, session_scope
from .team import Team
| [
2,
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764,
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1330,
4816,... | 2.844444 | 45 |
import pytest
from ruamel import yaml
from runthis.server.config import Config, get_config_from_yaml
DICT_CONFIG_CONTENT = dict(
tty_server="tty-server",
command="myshell",
docker=True,
docker_image="img",
host="8.8.8.8",
certfile="/path/to/cert.pem",
)
| [
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3525... | 2.176056 | 142 |
# DISCLAIMER TO CONTEST TEAMS : DO NOT MAKE CHANGES IN THIS FILE.
classes = {
"Tasit": 0,
"Insan": 1,
"UAP": 2,
"UAI": 3,
}
landing_statuses = {
"Inilebilir": "1",
"Inilemez": "0",
"Inis Alani Degil": "-1"
}
base_url = "http://192.168.1.10:3000"
| [
2,
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220,
... | 1.895425 | 153 |
from ETL.Data_Preprocessing.data_cleaning_and_filtering import cleaning_and_filtering
from ETL.Data_Transformation.drug_conditions_grouped import group_conditions
from ETL.Data_Transformation.jaccard_similarity import apply_jaccard_similarity
from ETL.Data_Transformation.drug_conditions_fuzzy_matching import fuzzy_matc... | [
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62,
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276,
1330... | 3.277228 | 202 |
from setuptools import setup
from setuptools.command.install import install
import os
import sys
import atexit
if __name__ == '__main__':
package_name = 'dgdynamic'
excludes = [
'__pycache__',
'StochKit'
]
extras = [
'default_config.ini',
'spim.ocaml',
'stochkit... | [
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834,
10354,
628,
... | 2.279835 | 486 |
import os
import RPi.GPIO as gpio
import time
from mesafe import distance
motorhizi = 1
aci2 = aci3 = aci4 = 6
aci = 5.5
in4 = 26
in3 = 4
in2 = 12
in1 = 8
solled = 9
sagled = 11
gpio.setwarnings(False)
print (" ")
print ("otonomgorev yazilimi google speech api sesli komutlari ile robotun otonom hareket e... | [
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... | 2.100503 | 199 |
from sqlalchemy.sql import func
from sqlalchemy import Column, BigInteger, String, DateTime, Boolean
from .model import database | [
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] | 4.03125 | 32 |
#!/usr/bin/env python
"""
timer.py:
Implementation of a CPU timer that is used as a part of stopping criteria.
"""
import time
def _time():
"""
Convenience function that returns current process time as milliseconds.
"""
return time.process_time() * 1000
| [
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42... | 3.209302 | 86 |
import argparse
import os
from glob import glob
from pathlib import Path
import imageio
import h5py
import pandas as pd
from bioimageio.core import load_resource_description
from bioimageio.core.prediction import predict_with_padding
from bioimageio.core.prediction_pipeline import create_prediction_pipeline
from elf.... | [
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13,... | 2.891129 | 248 |
from .bar import value
| [
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1988,
198
] | 3.833333 | 6 |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Interpreter version: python 2.7
#
# Imports =====================================================================
import requests
from ..settings import USER_AGENT
from ..settings import REQUEST_TIMEOUT
# Functions & classes =========================================... | [
2,
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... | 2.841912 | 272 |
#!/usr/bin/env python2.7
from __future__ import print_function
import json
import sys
import numpy as np
import os.path
import time
from math import ceil
import argparse
import nbt
from util import blif, cell, cell_library
from placer import placer
from router import router, extractor, minetime
from vis import png
... | [
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... | 2.688857 | 2,764 |
import logging
import logging.handlers
import time
logger = logging.getLogger(__name__)
handler = logging.handlers.SocketHandler('localhost', 9033)
stream = logging.StreamHandler()
logger.addHandler(handler)
logger.addHandler(stream)
while True:
logger.warning('ping')
time.sleep(.001)
| [
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... | 3.115789 | 95 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
from argparse import ArgumentParser
from collections import OrderedDict
import jinja2
import csv
import sys
import os.path
import re
if __name__ == "__main__":
args = cmd_options()
build_templates(args)
| [
2,
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1330,
14230,... | 2.911765 | 102 |
import yaml
import os
import sys
import time
import numpy as np
import cv2 as cv
from franka.FrankaController import FrankaController
if __name__ == '__main__':
ROOT = os.path.dirname(os.path.abspath(__file__))
sys.path.append(ROOT)
cfg = read_cfg(ROOT + '/config/grasping _colorseg.yaml')
arm = Fr... | [
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1... | 2.169791 | 907 |
import cherrypy
import sesame
from database import create_database
DATABASE = create_database({'System':'sqlite', 'Database':'testy.db'})
SERVER = None
CHERRYPY_CONFIG = {
'server.socket_host': '127.0.0.1',
'server.socket_port': 8080,
'tools.auth_basic.on': True,
'tools.auth_basic.realm': '127.0.0.1',... | [
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6,
30072... | 2.569712 | 416 |
from nltk.tag import StanfordNERTagger
import pandas as pd
from sklearn.metrics import f1_score, confusion_matrix
from loader import Load
train, test = Load('c')
ner = StanfordNERTagger('./stanford-ner-2018-10-16/classifiers/english.all.3class.distsim.crf.ser.gz', './stanford-ner-2018-10-16/stanford-ner.jar')
data ... | [
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... | 2.305994 | 317 |
"""
====================================================================================
A Rete Network Building and 'Evaluation' Implementation for RDFLib Graphs of
Notation 3 rules.
The DLP implementation uses this network to automatically building RETE
decision trees for OWL forms of DLP
Uses Python hashing mechan... | [
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26... | 2.448966 | 1,499 |
from gcpy.functions.CloudFunction import CloudFunctionTrigger, CloudFunction
from gcpy.utils.binary import binary_decode
| [
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] | 3.727273 | 33 |
'''
Unlike a RESTful API, there is only a single URL from which GraphQL is accessed.
We are going to use Flask to create a server that expose the GraphQL schema under /graphql and a interface for querying
it easily: GraphiQL (also under /graphql when accessed by a browser).
'''
from flask import Flask
from flask_graph... | [
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... | 2.957983 | 238 |
#
# Complete the 'reverseShuffleMerge' function below.
#
# The function is expected to return a STRING.
# The function accepts STRING s as parameter.
#
import os
from collections import defaultdict
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
s = input()
result... | [
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2,
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2,
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13,
... | 2.522293 | 157 |
"""
This class searches for data in a hierarchy of folders and sorts
them in a list.
Attributes to the data are:
path: path to the raw data file
type: whether from Picarro, DropSense sensors.
data: the data set after reading with the modules:
read_dropsense
... | [
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2... | 2.637168 | 226 |
#!/usr/bin/python
import sys
import json
import urllib2
import collections
url = "http://192.168.122.1:8080/sony/"
camera_url = url+"camera"
avContent_url = url+"avContent"
command_line_call()
| [
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13,
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13,
16,
25,
1795,
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14,
1559,
... | 2.359551 | 89 |
import os
from waflib import Context, Errors # pylint:disable=import-error
| [
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28,
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198
] | 3.409091 | 22 |
import sys
import re
import requests
import requests.cookies
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
from time import sleep
from GlobalVariables import * | [
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13,
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18,
... | 3.876923 | 65 |
import pytest
from pytest_httpbin.plugin import httpbin_ca_bundle
pytest.fixture(autouse=True)(httpbin_ca_bundle)
| [
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28,
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5769,
4023,
8800,
62,
6888,
62,
65,
31249,
8,
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] | 2.738095 | 42 |
from unittest import mock
| [
6738,
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395,
1330,
15290,
628
] | 3.857143 | 7 |
"""Util functions"""
from .vis_utils import visualizer
from .save_model import save_model
from .Util import checkParams, checkSize, test
| [
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] | 3.45 | 40 |
import io
import os
from collections import OrderedDict
import imageio
import numpy as np
from au import conf
from au.util import create_log
from au import util
##
## Images
##
# @property
# def label_bytes(self):
# if self._label_bytes is '':
# # Read lazily
# if self._cached_label_arr is not '... | [
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1013,
198,
6738,
35851,
13,
22602,
1330,
2251,
62,
6404,
198,
67... | 2.279934 | 1,211 |
import re
title_regex = r'<title>([^<>]*)<\/title>'
info = input()
title = re.findall(title_regex, info)
title = ''.join(title)
print(f"Title: {title}")
body_regex = r'<body>.*<\/body>'
body = re.findall(body_regex, info)
body = ''.join(body)
content_regex = r">([^><]*)<"
content = re.findall(content_regex, bod... | [
11748,
302,
198,
198,
7839,
62,
260,
25636,
796,
374,
6,
27,
7839,
29,
26933,
61,
27,
37981,
28104,
27,
11139,
7839,
29,
6,
198,
198,
10951,
796,
5128,
3419,
198,
198,
7839,
796,
302,
13,
19796,
439,
7,
7839,
62,
260,
25636,
11,
... | 2.369318 | 176 |
import random
| [
11748,
4738,
628
] | 5 | 3 |
# Testing various methods to graph with matplotlib
# Developed by Nathan Shepherd
import numpy as np
import matplotlib.pyplot as plt
n = 100
y = [round(np.random.normal(scale=n/10)) for _ in range(n)]
x = [i for i in range(-n, n)]
_y = []
for i in range(-n, n):
_y.append(y.count(i))
plt.plot(x, _y)
plt.show()
| [
2,
23983,
2972,
5050,
284,
4823,
351,
2603,
29487,
8019,
198,
2,
6013,
276,
416,
18106,
30890,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
77,
796,
1802,
198,
88,
... | 2.461538 | 130 |
import sys
from Bio import Entrez
from collections import Counter
import pandas as pd
###########################################
###############################################
###############################################
| [
11748,
25064,
198,
6738,
16024,
1330,
7232,
21107,
198,
6738,
17268,
1330,
15034,
198,
11748,
19798,
292,
355,
279,
67,
198,
29113,
7804,
21017,
198,
29113,
7804,
4242,
21017,
198,
29113,
7804,
4242,
21017,
628
] | 6.485714 | 35 |
weird_board = [['_'] * 3] *3
print(weird_board)
weird_board[0][2] = 'X'
print(weird_board) | [
732,
1447,
62,
3526,
796,
16410,
6,
62,
20520,
1635,
513,
60,
1635,
18,
198,
4798,
7,
732,
1447,
62,
3526,
8,
198,
198,
732,
1447,
62,
3526,
58,
15,
7131,
17,
60,
796,
705,
55,
6,
198,
4798,
7,
732,
1447,
62,
3526,
8
] | 2.022222 | 45 |
'''
Author: Eric P. Nichols
Date: Feb 8, 2008.
Board class.
Board data:
1=white, -1=black, 0=empty
first dim is column , 2nd is row:
pieces[1][7] is the square in column 2,
at the opposite end of the board in row 8.
Squares are stored and manipulated as (x,y) tuples.
x is the column, y is the row.
'''
imp... | [
7061,
6,
198,
13838,
25,
7651,
350,
13,
38403,
198,
10430,
25,
3158,
807,
11,
3648,
13,
198,
29828,
1398,
13,
198,
29828,
1366,
25,
198,
220,
352,
28,
11186,
11,
532,
16,
28,
13424,
11,
657,
28,
28920,
198,
220,
717,
5391,
318,
... | 2.747967 | 123 |