content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# generate grouped data and a bipartite social graph
import synthetic_data_generation as gen
import numpy as np
if __name__ == "__main__":
main()
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from sql_alchemy import database
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import argparse
import math
import random
import os
import sys
import numpy as np
import torch
from torch import nn, autograd, optim
from torch.nn import functional as F
from torch.utils import data
import torch.distributed as dist
from torchvision import transforms, utils
from tqdm import tqdm
from copy import deepcop... | [
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... | 2.340548 | 2,772 |
import execnet
import cPickle as pickle
from collections import Counter
import numpy as np
from sklearn.cluster import MiniBatchKMeans
from scipy.spatial.distance import cdist, pdist
from sklearn import cluster, metrics
from time import time
if __name__ == '__channelexec__':
while 1:
X = pickle.load(open("/med... | [
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# Copyright (c) 2017 Alex Socha
# http://www.alexsocha.com/pynode
from pynode.src import communicate
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import gzip
import jsonlines
import os
import shutil
def read_jsonl(file):
"""Read a JSON lines file into a list of JSON dicts.
Args:
file (file object): An existing file object to be read from.
The file can either be a json lines file (extension `.jsonl`)
or a gzip file (exte... | [
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import socket
import threading
import time
import http.client
import requests
import os
count = 1
#while 1:
count = 0
while count < 32:
r = requests.get("http://127.0.0.1:1123/index")
filename = "./tmp/"+str(count)
with open(os.path.join(os.path.dirname(os.path.abspath("__file__")),filename),"wb") as f:
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... | 2.509434 | 159 |
sample = """Player 1:
9
2
6
3
1
Player 2:
5
8
4
7
10"""
starting_decks = """Player 1:
3
42
4
25
14
36
32
18
33
10
35
50
16
31
34
46
9
6
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Player 2:
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29
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22
5
20
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26
37
2
24
48
12
19
1
40""" | [
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import logging
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from pynYNAB.ObjClient import RootObjClient
from pynYNAB.connection import nYnabConnection
from pynYNAB.exceptions import NoBudgetNameException, BudgetNotFound, NoCredentialsException
from pynYNAB.schema import Base, Catalog, ... | [
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# flake8: noqa
from catalyst_rl.rl.exploration import *
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import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from matplotlib import pyplot as plt
import tensorflow as tf
from tensorflow.keras.optimizers import RMSprop,Nadam,Adadelta,Adam
from tensorflow.keras.layers import BatchNormalization,LeakyReLU
from tensorflow.ker... | [
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if __name__ == "__main__":
k = 2
a = [0, -1, 2, 1]
print(angryProfessor(k,a)) | [
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import importlib
# These are special sizes
LENGTH_PREFIXED_VAR_SIZE = -1
CODEC_CACHE = {}
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import sqlite3
from ioscrack import crack
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"""Users Serializers"""
#Django
from django.contrib.auth import authenticate, password_validation
# Django REST Framework
from rest_framework import serializers
from rest_framework.authtoken.models import Token
from rest_framework.validators import UniqueValidator
#Models
from handwritten.users.models import User
cla... | [
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... | 2.633242 | 728 |
class Vessel(object):
"""Dummy class to return pre-generated data
"""
def get_duty(self):
"""Dummy method, returns fake duty cycle
"""
return 50
def set_duty(self, duty):
"""Dummy method, will be used to set the output duty cycle
"""
pass
if __name... | [
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"""
Exceptions for storage events.
"""
class SampleStorageError(Exception):
"""
Superclass of all storage related exceptions. Denotes a general storage error.
"""
class StorageInitError(SampleStorageError):
"""
Denotes an error during initialization of the storage system.
"""
class OwnerCh... | [
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import re
import sys
PASSWORD_RE = re.compile('(\d+)-(\d+) (\w): (\w+)')
if __name__ == '__main__':
correct_count = 0
for line in sys.stdin:
pos1, pos2, letter, password = PASSWORD_RE.match(line).groups()
pos1 = int(pos1) - 1
pos2 = int(pos2) - 1
if (letter == password[pos1]... | [
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from typing import List, Tuple, Union
from tikzpy.drawing_objects.point import Point
from tikzpy.drawing_objects.drawing_object import DrawingObject
from tikzpy.utils.helpers import brackets
class PlotCoordinates(DrawingObject):
"""
A class to create plots in the tikz environment.
Attributes :
op... | [
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1... | 2.940887 | 203 |
from django.http import HttpResponse
from django.template import loader
from django.shortcuts import render, redirect
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import hashlib
import lxml.html
import os
import pickle
import requests
import sys
_ascii = ('01234567890123456789012345678901 '
'!"#$%&\'()*+,-./0123456789:;<=>?@'
'ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`'
'abcdefghijklmnopqrstuvwxyz{|}~')
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... | 1.861111 | 144 |
import paddle.fluid as fluid
import paddle
import paddorch.cuda
import paddorch.nn
import os
import paddorch.nn.functional
from paddle.fluid import dygraph
import numpy as np
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import logging
from .ibindex import IbIndexQueryService
from .nasdaq import NasdaqIndexScraper, NasdaqCompany
from .google import StockDomain, GoogleFinanceQueryService
from .bloomberg import BloombergQueryService
from .avanza import AvanzaQueryService
from .ig import IGQueryService
from .yahoo import YahooQueryService... | [
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from django.conf import settings
from django.db import models
class TimeStampedModel(models.Model):
""" Time Stamped Model """
created = models.DateTimeField(auto_now_add=True)
modified = models.DateTimeField(auto_now=True)
class Voice(TimeStampedModel):
""" Voice Model to analyze and save pitches ... | [
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import numpy as np
import pandas as pd
np.random.seed(1)
LENGTH = 500
A = np.random.rand(LENGTH)
A[np.random.choice(LENGTH, 20, replace = False)] = np.nan
B = np.random.randint(100, size = LENGTH)
C = A + np.random.normal(0, 0.2, LENGTH)
D = A + np.random.normal(0, 0.1, LENGTH)
E = np.random.rand(LENGTH)
E[np.rand... | [
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xmark = '<:xmark:820320509211574284>'
tick = '<:tick:820320509564551178>'
voice_channel = '<:Voice_channels:820162682883014667> '
text_channel = '<:Text_Channel:820162682970832897>'
error = '<:error:820162683147911169>'
questionmark = '<:questionmark:820319249867866143>'
info = '<:info:820332723121684530>'
youtube = '<... | [
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# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""Log to `Weights and Biases <https://wandb.ai/>`_."""
from __future__ import annotations
import atexit
import os
import pathlib
import re
import sys
import tempfile
import warnings
from typing import Any, Dict, List, Optional
from co... | [
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import config
from controlClient import ControlClient
from recognizer import Recognizer
from voiceListener import VoiceListener
import logging
client=ControlClient(config.mqtt_broker_address,config.mqtt_broker_port,config.mqtt_voice_topic)
recognizer=Recognizer(config.model_directory)
logger = logging.getLogger(__nam... | [
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from honeygrove.config import Config
from honeygrove.services.HTTPService import HTTPService
from twisted.internet import reactor
import requests
import threading
import unittest
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"""Parsing of CLI input (args)."""
import argparse
from ickafka.__version__ import VERSION
def get_args():
"""Parse args"""
parser = argparse.ArgumentParser(description="Consume from kafka")
parser.add_argument(
"-s", "--server", help="kafka broker ip or hostname", default="localhost"... | [
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... | 2.399072 | 431 |
import pytest
| [
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] | 3 | 6 |
from construct import *
from ..common import debug_field, DirtyBits
ShipStatus_Partial = Struct(
"DirtyBits" / DirtyBits,
"NumSystems" / VarInt,
"Systems" / debug_field(Byte[this.NumSystems]),
)
ShipStatus_Full = Struct(
) | [
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2... | 2.644444 | 90 |
import multiprocessing, logging, sys, re, os, StringIO, threading, time, Queue, collections
from logging import Logger
class MultiProcessingLogHandler(logging.Handler):
"""taken from http://stackoverflow.com/questions/641420/how-should-i-log-while-using-multiprocessing-in-python
added counting of log message... | [
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6... | 3.151961 | 204 |
_MAJOR = u"0"
_MINOR = u"6"
_REVISION = u"1-unreleased"
VERSION_SHORT = u"{0}.{1}".format(_MAJOR, _MINOR)
VERSION = u"{0}.{1}.{2}".format(_MAJOR, _MINOR, _REVISION)
| [
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1911,... | 1.886364 | 88 |
#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-------------------------------------------------------------------... | [
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... | 4.3309 | 822 |
# IMPORTS
import cv2
# Read the video file
cap = cv2.VideoCapture("./Data/cars.avi")
# PROPids of the video frame
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# FourCC Codec to identify the video file format
fourcc = cv2.VideoWriter_fourcc(*"XVID")
saved... | [
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import boto3
from botocore.exceptions import ClientError
from boto3.dynamodb.conditions import Key
import json
import os
import logging
import datetime
from dateutil import tz
from pprint import pprint
from lib.vpc import *
import logging
logger = logging.getLogger()
class AWSAccount(object):
"""Class to repre... | [
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11... | 2.234921 | 5,836 |
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import collections
import copy
# deadspots = 175.2 (full fov) / res / 2 * discretisation
# eg. 115x44 disc. 5 -> 175.2/115/2*5 = 3.81 deg
# 2nd July (93a92648a5e774c97e3368e3306782382f626b6d) - SR=1, rho=0.1, theta=5 deg
data = {
... | [
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... | 2.097739 | 1,504 |
s = Solution()
data = [
['0.1', '0.1.0.0'],
['1.0.1', '1'],
['7.5.2.4', '7.3'],
['1.1', '1.01'],
["19.8.3.17.5.01.0.0.4.0.0.0.0.0.0.0.0.0.0.0.0.0.00.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0... | [
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220,
220... | 1.130556 | 720 |
import json
import os
import shutil
import sys
import zipfile
from tempfile import TemporaryDirectory
from unittest import TestCase, main, skipIf
from cogent3.app.data_store import (
OVERWRITE,
DataStoreMember,
ReadOnlyDirectoryDataStore,
ReadOnlyTinyDbDataStore,
ReadOnlyZippedDataStore,
Singl... | [
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11,
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11,
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1532,
198,
198,
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... | 2.461149 | 592 |
from AppLauncher.backend.models.accounts import Account as ModelsAccount
| [
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355,
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30116,
201,
198
] | 3.894737 | 19 |
N = int(input())
A = []
s2 = set()
for _ in range(N):
x,i = map(int, input().split())
A.append([x,i])
s2.add(i)
ID = dict()
cnt_id = 0
for i in sorted(list(s2)):
ID[i]=cnt_id
cnt_id+=1
B = []
for a,b in A:
B.append([a, ID[b]])
B.sort()
check = [0]*cnt_id
S=0
ans=1000000000
for E in range(len(B)):
check[B[E][1... | [
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87... | 1.822511 | 231 |
# -*- coding: utf-8 -*-
# ********************************************************
# Author and developer: Aleksandr Suvorov
# --------------------------------------------------------
# Licensed: BSD 3-Clause License (see LICENSE for details)
# --------------------------------------------------------
# Url: https://git... | [
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... | 4.782609 | 138 |
"""
Behavioral pattern:
Chain of responsibility
"""
from abc import ABC, abstractmethod
# -----------------------------------------------------------------
# -----------------------------------------------------------------
request = [3, 14, 34, 9]
c1 = Client()
c1.delegate(request)
| [
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2,
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628... | 4.205479 | 73 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import User, Persona
# Register your models here.
admin.site.register(User, UserAdmin)
admin.site.register(Persona)
| [
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1... | 3.47541 | 61 |
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 8 16:54:36 2011
@author: ProfMobius
@version: v1.0
"""
import sys
import logging
from optparse import OptionParser
from commands import Commands, CLIENT, SERVER, CalledProcessError
from mcp import recompile_side
if __name__ == '__main__':
main()
| [
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25,
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16,
13,
15,
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37... | 2.923077 | 104 |
x = 4
result = 3*x - 2 == 10
print(result)
| [
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] | 2.263158 | 19 |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from morphine import features
from morphine.feature_extractor import FeatureExtractor
from morphine.basetagger import PartialTagger
| [
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4394... | 3.735849 | 53 |
from collections import OrderedDict
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.ticker import FormatStrFormatter
| [
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83,
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1330,
18980,
13290,
8479,
1436,
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] | 3.666667 | 39 |
from neon.transforms.cost import Cost
| [
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198
] | 3.636364 | 11 |
# Generated by Django 3.2.6 on 2021-08-25 13:48
from django.db import migrations
import django.db.models.deletion
import paper_uploads.cloudinary.models.fields.image
| [
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1616,
295,
198,
11748,... | 3 | 56 |
from nltk.tokenize import word_tokenize
from server.db import MongoClientContext
from operator import itemgetter
from server import server_app
from collections import defaultdict
from itertools import chain
import string
import tempfile
import os
import nltk
import logging
nltk.data.path.append('nltk_data')
class Si... | [
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11600... | 2.399567 | 3,236 |
from typing import Optional
from botocore.client import BaseClient
from typing import Dict
from typing import Union
from botocore.paginate import Paginator
from datetime import datetime
from botocore.waiter import Waiter
from typing import List
| [
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8079... | 4.032787 | 61 |
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | [
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290,
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287,
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284,
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... | 2.452449 | 3,165 |
# load every working model from the model collection into workspace
import sys
import os
import importlib
import pandas as pd
import numpy as np
import libsbml
from C import DIR_MODELS_REGROUPED, DIR_MODELS
def get_submodel(submodel_path: str,
model_info: pd.DataFrame):
"""
This function lo... | [
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9195,
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4029,... | 2.589069 | 1,976 |
#
# 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 us... | [
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from ..algorithm.parameters import params
from ..fitness.base_ff_classes.base_ff import base_ff
import editdistance # https://pypi.python.org/pypi/editdistance
import lzstring # https://pypi.python.org/pypi/lzstring/
import dtw # https://pypi.python.org/pypi/dtw
"""
This fitness function is for a sequence-match p... | [
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1... | 2.568234 | 1,297 |
from enum import Enum
from math import radians, cos, sin
THETAS = []
for theta in range(1080):
theta = radians(float(theta/3))
xd_d = float(cos(theta))
yd_d = float(sin(theta))
THETAS.append((xd_d,yd_d))
LINES = {
"top-left" : 201,
"bottom-right" : 188,
"top-right" : 187,
"left-right" : 186,... | [
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... | 1.735983 | 1,409 |
# Copyright (c) 2019 The Johns Hopkins University/Applied Physics Laboratory
# 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/LICEN... | [
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... | 2.259428 | 4,614 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-05-20 03:39
from __future__ import unicode_literals
from django.db import migrations, models
| [
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17201,
874,
198,
... | 2.736842 | 57 |
import os
import shutil
import uuid
from os.path import join, splitext
from typing import List
import mobi
import uvicorn
from fastapi import FastAPI, UploadFile, File, Form, HTTPException
import iscc
from iscc_cli.tika import detector, parser
from iscc_cli.const import SUPPORTED_MIME_TYPES, GMT
import iscc_service
fr... | [
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Modpack_name = "My modpack" #appears in the about dialog
Modpack_author = "My name" #appears in the about dialog
Modpack_url = "http://example.com/" #link to this appears in the about dialog
M... | [
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import os
import six
import shutil
import yaml
import click
import pickle
import pandas as pd
from pyfiglet import figlet_format, Figlet
from prettytable import PrettyTable
from cognito.table import Table
from datetime import datetime
from tqdm import tqdm, trange
def save_to(path, df, encoder):
"""
Save th... | [
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19... | 2.351488 | 1,579 |
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 12 12:51:11 2018
@author: admin
"""
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 11 15:12:22 2018
@author: admin
"""
from video_pixels import video
import numpy as np
import cv2
from matplotlib import pyplot as plt
cap = cv2.VideoCapture('2.avi')
... | [
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... | 2.131481 | 540 |
from nltk import corpus, stopwords, tokenize
output = tokenize.TextTilingTokenizer().tokenize(corpus.brown.raw()[0:10000])
output = [token for token in output if token not in stopwords]
| [
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... | 3.186441 | 59 |
# 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... | [
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... | 3.044099 | 771 |
# -*- coding: utf-8 -*-
# Copyright 2019 the HERA Project
# Licensed under the MIT License
'''Tests for io.py'''
import pytest
import numpy as np
import os
import warnings
import shutil
import copy
from collections import OrderedDict as odict
import pyuvdata
from pyuvdata import UVCal, UVData, UVFlag
from pyuvdata.ut... | [
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"""
>>> from massweb.mass_requests.mass_request import MassRequest
>>> from massweb.targets.target import Target
>>>
>>> target_1 = Target(url=u"http://course.hyperiongray.com/vuln1", data={"password": "blh123"}, ttype="post")
>>> target_2 = Target(url=u"http://course.hyperiongray.com/vuln2/898538a7... | [
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from Router import *
from PyQt4 import QtCore
| [
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] | 3.285714 | 14 |
import pandas as pd
import sys
import json
import sqlite3
if __name__ == '__main__':
main(sys.argv)
| [
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# -*- coding: utf-8 -*-
"""spacy.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1PvWiuiOWi9TFTT6hZQJrobxF87dT5LBY
"""
!pip3 install spacy
import spacy
import time
nlp=spacy.load('en') # this will use nltk_data folder to load library
data="i ... | [
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40... | 2.552511 | 219 |
import aiohttp
import logging
import xml.etree.ElementTree as ET
from bs4 import BeautifulSoup
from .types import (
BCHydroAccount,
BCHydroInterval,
BCHydroRates,
BCHydroDailyElectricity,
BCHydroDailyUsage,
)
from .const import (
USER_AGENT,
URL_POST_LOGIN,
URL_GET_ACCOUNT_JSON,
UR... | [
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... | 2.297619 | 168 |
# 1. After getting the duration iterate through each second and get the frames
# at each second
# 2. Next step is to get how much ever frames you want in that second with the upper-
# bound of min(X,FPS)
# 3. Need to see whether to save the images /Frames and then randomly select min(X,FPS)
# ... | [
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WORD_MARK = None
| [
54,
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198
] | 2.125 | 8 |
''' Runs unit tests for Util functionality '''
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
import unittest
from main.consolidate_uber_data import Pipeline
| [
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... | 2.985075 | 67 |
from .dolt import (
Branch,
Commit,
Dolt,
DoltException,
DoltHubContext,
KeyPair,
Remote,
Status,
Table,
_execute,
)
from .types import BranchT, CommitT, DoltT, KeyPairT, RemoteT, StatusT, TableT
from .utils import (
CREATE,
FORCE_CREATE,
REPLACE,
UPDATE,
colu... | [
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... | 2.101695 | 236 |
'''
Created on May 10, 2021
@author: Fred
'''
from PIL import Image
from datetime import datetime
import random, os
class tdeck():
'''
classdocs
'''
def __init__(self, card_dir='./card_images/', invert=True, invert_chance=25):
'''
Args
----
card_dir :... | [
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... | 2.058853 | 2,022 |
import akutil as aku
import arkouda as ak
def expand(size, segs, vals):
""" Expand an array with values placed into the indicated segments.
Parameters
----------
size : ak.pdarray
The size of the array to be expanded
segs : ak.pdarray
The indices where the values should be placed
... | [
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... | 2.617521 | 468 |
"""
API Uptime Monitor
Author:
Kevin Xin
Amiteshk Sharma
Status:
Good,
Bad,
Incompatible,
Unknown
"""
import logging
from enum import Enum
import requests
# pylint:disable=import-error, ungrouped-imports
from requests.packages.urllib3.exceptions impor... | [
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... | 2.23388 | 915 |
# -*- coding: utf-8 -*-
"""
Input arguments (Parameters) for Organizations resources RESTful API
-----------------------------------------------------------
"""
# from flask_marshmallow import base_fields
from flask_restx_patched import Parameters, PatchJSONParameters
from . import schemas
from .models import Organiz... | [
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... | 4.373333 | 75 |
from .unit import *
N = kg * m / s**2
J = N * m
W = J / s
Pa = N / m**2
# electricity
A = coulomb / s
V = W / A
ohm = V / A
T = kg * s**-2 / A
F = coulomb / V
gauss = 10**-4 * T
| [
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... | 2.011111 | 90 |
from .sessions import * | [
6738,
764,
82,
6202,
1330,
1635
] | 3.833333 | 6 |
from os import listdir, path
from client.util.HTMLUtil import HTMLUtil
from client.util.html.ButtonBuilder import ButtonBuilder
from client.util.html.ListBuilder import ListBuilder
from client.util.html.LinkBuider import LinkBuilder
valid_report_types = ['NLU', 'NLU_Timing', 'Refresh_DD', 'Markov_Chain']
| [
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... | 3.322581 | 93 |
#
# Copyright (c) 2016-2019 Dickson S. Guedes.
#
# This module is free software; you can redistribute it and/or modify it under
# the [PostgreSQL License](http://www.opensource.org/licenses/postgresql).
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose, without fe... | [
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... | 4.02719 | 331 |
# coding=utf-8
# *** WARNING: this file was generated by crd2pulumi. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__all__ = [
'... | [
2,
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12,
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345,
821,
1728,
345,
760,
644,
345,
389,
1804,
0,
17202,
... | 2.578841 | 1,985 |
import sys
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import icubam
import icubam.predicu.data
import icubam.predicu.plot
data_source = ["bedcounts", "combined_bedcounts_public"]
# Logic of this code: the computation of quantities, even when seemingly simple,
# is performed separately fr... | [
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549,
321,
198,
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549,
321,
13,
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291,
... | 2.028714 | 4,214 |
from datetime import datetime
import json
import os
| [
6738,
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4818,
8079,
198,
11748,
33918,
198,
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28686,
628
] | 4.076923 | 13 |
import requests
from bs4 import BeautifulSoup
import sys
username = "" # Fill it
passwd = "" # Fill it
session = requests.Session()
url = "https://www.codechef.com/login"
r = session.get(url, verify = False)
soup = BeautifulSoup(r.text, features = "lxml")
_csrf = soup.find("input", attrs = {"name": "csrfToken"})[... | [
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340,
198,
198,
29891,
796,
7007,
13,
36044,
3419,
198,
198,
6371,
... | 2.588115 | 488 |
from graphutil import Graph
if __name__ == "__main__":
test_arcs()
test_write()
test_connected_components()
test_bfs()
test_bfs_full()
test_substitute()
| [
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220,
220,
220,
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62,
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62... | 2.350649 | 77 |
import enum
__all__ = ("EventKind", "ALL_EVENTS")
ALL_EVENTS = (
EventKind.INSERT,
EventKind.UPDATE,
EventKind.DELETE
)
| [
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... | 2.322034 | 59 |
from subprocess import check_output
from ast import literal_eval
from Segmentation.params import regions_file
from Segmentation.utilities import fix_json_fname
import numpy as np
def evaluation(fname_to_check, regions_fname=regions_file):
"""Evaluate results with neurofinder"""
fname_to_check = fix_jso... | [
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850,
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... | 2.770588 | 340 |
from pyglet.gl import *
| [
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from django.contrib import admin
from .models import Attachment, Message
@admin.register(Attachment)
@admin.register(Message)
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# Based on the original https://www.reddit.com/r/deepfakes/ code sample
import cv2 | [
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import json
import os
import tempfile
from unittest import skipIf
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.urls import reverse
from nautobot.extras.choices import WebhookHttpMethodChoices
from nautobot.extras.context_managers import web_request_context
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# import the necessary packages
from moviepy.editor import VideoFileClip
import time
import os
# 프레임당 이미지로 저장
if __name__ == '__main__':
video_path = './fifth_season9/fifth_season_landmark.mp4'
save_dir = './fifth_season9'
out_name = 'landmark_img'
video_to_image(video_path, save_dir, out_name)
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#! /usr/bin/env python
"""This module acts as an interface for acting on git logs"""
from string import Template
from git_wrapper import exceptions
from git_wrapper.utils.decorators import reference_exists
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... | 3.87037 | 54 |
from src.data.download import download_database
from src.data.ranking_file import read_rankings
from src.data.rankings import get_and_save_rankings
from src.data.raw import save_names_from_database
from src.ranking.differences import calculate_ranking_difference_across_variants, save_ranking_differences
from src.rankin... | [
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import re
import psycopg2
from werkzeug.security import generate_password_hash, check_password_hash
from flask import Blueprint, request, jsonify, make_response
from app.api.v1.models.property_models import PropertyRecords
from app.api.v1.models.database import init_db
from app.api.v1.utils.validators import validate
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##############################
# #
# loxygenK/musical_typer #
# ゲームシステム #
# (c)2020 loxygenK #
# All rights reversed. #
# #
##############################
import re
import chardet
import pygame
import romkan
from lib import Drawin... | [
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