content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
"""Provide a mock standalone component."""
DOMAIN = 'test_standalone'
def setup(hass, config):
"""Mock a successful setup."""
return True
| [
37811,
15946,
485,
257,
15290,
27669,
7515,
526,
15931,
198,
39170,
29833,
796,
705,
9288,
62,
1481,
17749,
6,
628,
198,
4299,
9058,
7,
71,
562,
11,
4566,
2599,
198,
220,
220,
220,
37227,
44,
735,
257,
4388,
9058,
526,
15931,
198,
2... | 3.083333 | 48 |
from learntools.libs.wavelet import signal_to_wavelet
| [
6738,
26338,
10141,
13,
8019,
82,
13,
19204,
1616,
1330,
6737,
62,
1462,
62,
19204,
1616,
198
] | 3.176471 | 17 |
# -*- coding: utf-8 -*-
"""
This script reads a XML-formatted word list and produces a dictionary
file used by the FirefoxOS virtual keyboard for word suggestions and
auto corrections.
The word lists come from the Android source: https://android.googlesource.com/platform/packages/inputmethods/LatinIME/+/master/dictio... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
198,
1212,
4226,
9743,
257,
23735,
12,
687,
16898,
1573,
1351,
290,
11073,
257,
22155,
198,
7753,
973,
416,
262,
16802,
2640,
7166,
10586,
329,
1573,
11776,
... | 3.304833 | 1,345 |
# The contents of this file are subject to the BitTorrent Open Source License
# Version 1.1 (the License). You may not copy or use this file, in either
# source code or executable form, except in compliance with the License. You
# may obtain a copy of the License at http://www.bittorrent.com/license/.
#
# Software di... | [
2,
383,
10154,
286,
428,
2393,
389,
2426,
284,
262,
4722,
39286,
4946,
8090,
13789,
198,
2,
10628,
352,
13,
16,
357,
1169,
13789,
737,
220,
921,
743,
407,
4866,
393,
779,
428,
2393,
11,
287,
2035,
198,
2,
2723,
2438,
393,
28883,
1... | 4.025 | 160 |
import os
import threading
import unittest
from collections import defaultdict
from unittest import mock
import webtest
from cornice import errors as cornice_errors
from pyramid.url import parse_url_overrides
from kinto.core import DEFAULT_SETTINGS
from kinto.core import statsd
from kinto.core.storage import generato... | [
11748,
28686,
198,
11748,
4704,
278,
198,
11748,
555,
715,
395,
198,
6738,
17268,
1330,
4277,
11600,
198,
6738,
555,
715,
395,
1330,
15290,
198,
198,
11748,
3992,
9288,
198,
6738,
11676,
501,
1330,
8563,
355,
11676,
501,
62,
48277,
198,... | 2.819348 | 1,013 |
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 17 11:31:40 2021
@author: justi
"""
import utils
import play
import spotify
import time as t
from abc import ABC, abstractmethod
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
7031,
5979,
1596,
1367,
25,
3132,
25,
1821,
33448,
198,
198,
31,
9800,
25,
655,
72,
198,
37811,
198,
11748,
3384,
4487,
198,
11748,
711,
198,
1... | 2.825397 | 63 |
"""
Mixin for INI, .properties, and TOML.
"""
from __future__ import annotations
import os
from typing import Optional, Sequence, Set, Union
import pandas as pd
from typeddfs.df_errors import UnsupportedOperationError
from typeddfs.utils import IoUtils, ParseUtils, Utils
__all__ = ["_IniLikeMixin"]
| [
37811,
198,
35608,
259,
329,
3268,
40,
11,
764,
48310,
11,
290,
41526,
43,
13,
198,
37811,
198,
6738,
11593,
37443,
834,
1330,
37647,
198,
198,
11748,
28686,
198,
6738,
19720,
1330,
32233,
11,
45835,
11,
5345,
11,
4479,
198,
198,
1174... | 3.154639 | 97 |
from time import perf_counter as pfc
puzzle = load('Tag_03.txt')
start = pfc()
print(solve(puzzle), pfc() - start)
| [
6738,
640,
1330,
23035,
62,
24588,
355,
279,
16072,
220,
198,
198,
79,
9625,
796,
3440,
10786,
24835,
62,
3070,
13,
14116,
11537,
198,
198,
9688,
796,
279,
16072,
3419,
198,
4798,
7,
82,
6442,
7,
79,
9625,
828,
279,
16072,
3419,
532... | 2.565217 | 46 |
import os
import unittest
import scCloud.pipeline
| [
11748,
28686,
198,
11748,
555,
715,
395,
198,
198,
11748,
629,
18839,
13,
79,
541,
4470,
628
] | 3.058824 | 17 |
import time
from datetime import datetime
if __name__ == '__main__':
main()
| [
11748,
640,
198,
198,
6738,
4818,
8079,
1330,
4818,
8079,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
628
] | 2.833333 | 30 |
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
| [
11748,
299,
32152,
355,
45941,
198,
6738,
1341,
35720,
13,
30053,
62,
2302,
7861,
13,
5239,
1330,
2764,
38469,
7509,
628
] | 3.809524 | 21 |
import os
from . import env
PAUSE = {
'windows': 'PAUSE',
'macos': None,
'linux': None,
'unix': None
}
CLEAR = {
'windows': 'CLS',
'macos': 'clear',
'linux': 'clear',
'unix': 'clear'
}
| [
11748,
28686,
198,
6738,
764,
1330,
17365,
198,
198,
4537,
19108,
796,
1391,
198,
220,
220,
220,
705,
28457,
10354,
705,
4537,
19108,
3256,
198,
220,
220,
220,
705,
20285,
418,
10354,
6045,
11,
198,
220,
220,
220,
705,
23289,
10354,
6... | 2.064815 | 108 |
# -*- coding: utf-8 -*-
"""
@FileName : tf_load.py
@Description : 加载tf模型
@Author : 齐鲁桐
@Email : qilutong@yahoo.com
@Time : 2019-05-15 19:08
@Modify : None
"""
from __future__ import absolute_import, division, print_function
import tensorflow as tf
def load_graph(model_file, name=None):
... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
31,
8979,
5376,
220,
220,
220,
1058,
48700,
62,
2220,
13,
9078,
198,
31,
11828,
1058,
10263,
232,
254,
164,
121,
121,
27110,
162,
101,
94,
161,
252,
233,
... | 1.914201 | 338 |
from hylfm.datasets.online import OnlineTensorInfo
| [
6738,
2537,
1652,
76,
13,
19608,
292,
1039,
13,
25119,
1330,
7467,
51,
22854,
12360,
628
] | 3.25 | 16 |
import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
from StockAndFlowInPython.sfd_canvas.interactive_sfd_ui import Ui_widget_interactive_sfd
from StockAndFlowInPython.parsing.XMILE_parsing import text_to_equation,... | [
11748,
25064,
198,
6738,
9485,
48,
83,
20,
13,
48,
83,
14055,
1330,
1635,
198,
6738,
9485,
48,
83,
20,
13,
48,
83,
8205,
72,
1330,
1635,
198,
6738,
9485,
48,
83,
20,
13,
48,
83,
54,
312,
11407,
1330,
1635,
198,
6738,
2603,
29487... | 2.642173 | 313 |
n = 84
| [
77,
796,
9508,
201
] | 1.75 | 4 |
# Copyright 2020 Jianfeng Hou <frankderekdick@gmail.com>
# 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 req... | [
2,
15069,
12131,
40922,
69,
1516,
33790,
1279,
8310,
962,
67,
18238,
67,
624,
31,
14816,
13,
785,
29,
198,
2,
1439,
2489,
10395,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
153... | 2.995146 | 824 |
"""Module with resnet like models."""
import argparse
from collections import OrderedDict
import importlib
from typing import Any, Dict, List, Optional, Type, Union
import torch
import torch.nn as nn
from .blocks import ResNetBlock, ResNetBottleneck, conv1x1
TYPE_TO_ARGS = {
"resnet18": ([2, 2, 2, 2], ResNetB... | [
37811,
26796,
351,
581,
3262,
588,
4981,
526,
15931,
628,
198,
11748,
1822,
29572,
198,
6738,
17268,
1330,
14230,
1068,
35,
713,
198,
11748,
1330,
8019,
198,
6738,
19720,
1330,
4377,
11,
360,
713,
11,
7343,
11,
32233,
11,
5994,
11,
44... | 2.519084 | 786 |
'''
forms for the forum's related instances
. ReplyForm
. Meta:
'''
from django import forms
#
from .models import Reply
| [
7061,
6,
198,
198,
23914,
329,
262,
10041,
338,
3519,
10245,
628,
220,
220,
220,
764,
14883,
8479,
198,
220,
220,
220,
220,
220,
220,
220,
764,
30277,
25,
198,
7061,
6,
198,
6738,
42625,
14208,
1330,
5107,
198,
2,
198,
6738,
764,
... | 2.87234 | 47 |
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 21 18:43:20 2021
@author: Waradon Senzt Phokhinanan
"""
############################################################################################
import math
import librosa
import scipy.io
import matplotlib.pyplot as plt
from scipy import signal
import ... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
37811,
201,
198,
41972,
319,
3825,
1526,
2310,
1248,
25,
3559,
25,
1238,
33448,
201,
198,
201,
198,
31,
9800,
25,
1810,
324,
261,
2311,
89,
83,
1380,
482,
20079,
... | 2.249807 | 1,297 |
import subprocess
import logging
from prairiedog.node import Node
from prairiedog.edge import Edge
from prairiedog.dgraph import Dgraph
from prairiedog.graph import Graph
from prairiedog.errors import GraphException
log = logging.getLogger('prairiedog')
# TODO: this currently runs too slow for tests
# def test_dgr... | [
11748,
850,
14681,
198,
11748,
18931,
198,
198,
6738,
7201,
343,
798,
519,
13,
17440,
1330,
19081,
198,
6738,
7201,
343,
798,
519,
13,
14907,
1330,
13113,
198,
6738,
7201,
343,
798,
519,
13,
67,
34960,
1330,
360,
34960,
198,
6738,
720... | 2.961538 | 130 |
import statistics
import os, random, pickle
import numpy as np
# we are going to show for each timestep, for each layer, what's the majority attention.
# majority attention excluding roadmark tokens
# majority
from typing import List
import scipy
from collections import Counter
from util import convert_enc_attn, lo... | [
11748,
7869,
198,
198,
11748,
28686,
11,
4738,
11,
2298,
293,
198,
11748,
299,
32152,
355,
45941,
198,
198,
2,
356,
389,
1016,
284,
905,
329,
1123,
4628,
395,
538,
11,
329,
1123,
7679,
11,
644,
338,
262,
3741,
3241,
13,
198,
2,
37... | 2.362256 | 922 |
from django.conf.urls.static import static
from django.conf import settings
"""marketplace URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import view... | [
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
13,
12708,
1330,
9037,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
198,
37811,
10728,
5372,
10289,
28373,
198,
198,
464,
4600,
6371,
33279,
82,
63,
1351,
11926,
32336,
284,
5009,
13,... | 2.681572 | 738 |
import logging
import os
from currentplatform import platform
from sound_player.common import StatusObject, STATUS
logger = logging.getLogger(__name__)
| [
11748,
18931,
198,
11748,
28686,
198,
198,
6738,
1459,
24254,
1330,
3859,
198,
198,
6738,
2128,
62,
7829,
13,
11321,
1330,
12678,
10267,
11,
15486,
2937,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
1... | 3.690476 | 42 |
from .clog import MyRotatingFileHandler, MyTimedRotatingFileHandler
| [
6738,
764,
565,
519,
1330,
2011,
24864,
803,
8979,
25060,
11,
2011,
14967,
276,
24864,
803,
8979,
25060,
198
] | 3.578947 | 19 |
import base64
import mimetypes
import uuid
from django.core.files.base import ContentFile
from django.utils.translation import gettext_lazy as _
from rest_framework import serializers
from unicef_restlib.fields import ModelChoiceField
from unicef_attachments.utils import get_client_ip
| [
11748,
2779,
2414,
198,
11748,
17007,
2963,
12272,
198,
11748,
334,
27112,
198,
198,
6738,
42625,
14208,
13,
7295,
13,
16624,
13,
8692,
1330,
14041,
8979,
198,
6738,
42625,
14208,
13,
26791,
13,
41519,
1330,
651,
5239,
62,
75,
12582,
35... | 3.47619 | 84 |
import logging
import time
from datetime import timedelta
from time import sleep
import RPi.GPIO as GPIO
from thespian.actors import Actor, ActorSystem, ActorTypeDispatcher
# Logging
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger(__name__)
# Sensor
trigPin = 16
echoPin = 18
MAX_DISTANCE = 220
time... | [
11748,
18931,
198,
11748,
640,
198,
6738,
4818,
8079,
1330,
28805,
12514,
198,
6738,
640,
1330,
3993,
198,
198,
11748,
25812,
72,
13,
16960,
9399,
355,
50143,
198,
6738,
262,
2777,
666,
13,
529,
669,
1330,
27274,
11,
27274,
11964,
11,
... | 2.473148 | 2,160 |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | [
2,
19617,
28,
40477,
12,
23,
198,
2,
16529,
35937,
198,
2,
15069,
357,
66,
8,
5413,
10501,
13,
1439,
2489,
10395,
13,
198,
2,
49962,
739,
262,
17168,
13789,
13,
4091,
13789,
13,
14116,
287,
262,
1628,
6808,
329,
198,
2,
5964,
1321... | 5.229167 | 96 |
from django.contrib.auth import get_user_model
from auth_app.utils import get_activate_key
from main.decorators import except_shell
from src.celery import app
from auth_app.tasks import send_information_email
from django.conf import settings
from microservice_request.services import MicroServiceConnect, ConnectionServ... | [
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
1330,
651,
62,
7220,
62,
19849,
198,
198,
6738,
6284,
62,
1324,
13,
26791,
1330,
651,
62,
39022,
62,
2539,
198,
6738,
1388,
13,
12501,
273,
2024,
1330,
2845,
62,
29149,
198,
6738,
12351,
... | 3.693069 | 101 |
import math
inputItems = input().split(' ')
sum = 0
numbers = []
operators = []
isFirst = True
for item in inputItems:
if item == '*' or item == '/' or item == '+' or item == '-':
for number in numbers:
if isFirst:
sum = int(number)
isFirst = False
e... | [
11748,
10688,
198,
198,
15414,
23022,
796,
5128,
22446,
35312,
10786,
705,
8,
198,
16345,
796,
657,
198,
77,
17024,
796,
17635,
198,
3575,
2024,
796,
17635,
198,
271,
5962,
796,
6407,
198,
198,
1640,
2378,
287,
5128,
23022,
25,
198,
2... | 1.795918 | 392 |
# Copyright 2018 Fujitsu.
#
# 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... | [
2,
220,
220,
220,
15069,
2864,
32671,
19831,
13,
198,
2,
198,
2,
220,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
345,
743,
198,
2,
220,
220,
220,
407,
779,
428,
2393,
2845,
287,
... | 3.461538 | 208 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License
from ftl.agents import Client, Server
from ftl.training_utils import cycle
from torchvision import datasets
from torch.utils.data import DataLoader, Subset
import torch
import numpy as np
from typing import Dict, List
class DataManager:
"""
... | [
2,
15069,
357,
66,
8,
5413,
10501,
13,
198,
2,
49962,
739,
262,
17168,
13789,
198,
198,
6738,
10117,
75,
13,
49638,
1330,
20985,
11,
9652,
198,
6738,
10117,
75,
13,
34409,
62,
26791,
1330,
6772,
198,
6738,
28034,
10178,
1330,
40522,
... | 2.148747 | 2,474 |
# -*- coding: utf-8 -*-
"""
Allows access to the site's bot user list.
The function refresh() downloads the current bot user list and saves
it to disk. It is run automatically when a bot first tries to get this
data.
"""
# (C) Daniel Herding, 2005
# (C) Dr. Trigon, 2009-2010
# (C) Pywikipedia bot team, 2010-2012
#
# ... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
34934,
1895,
284,
262,
2524,
338,
10214,
2836,
1351,
13,
198,
198,
464,
2163,
14976,
3419,
21333,
262,
1459,
10214,
2836,
1351,
290,
16031,
198,
270,
284,
11... | 2.16895 | 1,095 |
import numpy as np
path = '/Users/benjaminramtoula/Documents/Cours/POLYMTL/MISTLAB/SLAM/decentralized_slam_project/logs/'
dir = '2019-08-22_11-43-20_0.13_20/'
timestamps_combined = []
nb_kf_used = []
data_exchanged_f_m_q = []
data_exchanged_f_m_a = []
data_exchanged_r_s_q = []
with open(path+dir+'find_matches_query.... | [
11748,
299,
32152,
355,
45941,
198,
198,
6978,
796,
31051,
14490,
14,
11722,
13337,
859,
83,
2852,
64,
14,
38354,
14,
34,
4662,
14,
45472,
56,
13752,
43,
14,
44,
8808,
48780,
14,
8634,
2390,
14,
12501,
298,
1373,
1143,
62,
82,
2543,... | 1.87476 | 3,649 |
import logging
from django.conf import settings
from django.core.mail import get_connection
from django_rq import job
RQ_EMAIL_DEFAULT_QUEUE = getattr(settings, 'RQ_EMAIL_DEFAULT_QUEUE', 'default')
RQ_EMAIL_BACKEND = getattr(settings, 'RQ_EMAIL_BACKEND',
'django.core.mail.backends.smtp.Ema... | [
11748,
18931,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
7295,
13,
4529,
1330,
651,
62,
38659,
198,
6738,
42625,
14208,
62,
81,
80,
1330,
1693,
628,
198,
49,
48,
62,
27630,
4146,
62,
7206,
38865,... | 2.325581 | 172 |
from Model.job import Job
from Model.website import Website
from Driver.WebDriver import WebDriver | [
6738,
9104,
13,
21858,
1330,
15768,
198,
6738,
9104,
13,
732,
12485,
1330,
15887,
198,
6738,
12434,
13,
13908,
32103,
1330,
5313,
32103
] | 4.26087 | 23 |
# -*- coding: utf-8 -*-
######################
# TÜRKÇE NOT DEFTERİ #
######################
# @author : Şükrü Erdem Gök
# @date : 28/06/2020
# @os : Windows 10
# @version : Python 3.8
# @description: Kodlar dışında yorumları ve uygulamanı görünen kısmını tamamen türkçe yaptım. Umarım işinize yarar.
# GÖK DEFTER
# K... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
14468,
4242,
2235,
198,
2,
309,
127,
250,
49,
42,
127,
229,
36,
5626,
23449,
5781,
128,
108,
1303,
198,
14468,
4242,
2235,
198,
198,
2,
2488,
9800,
1058,
25370,
252,
... | 2.29803 | 812 |
from src.utils.utils import *
import src.config.Consts as cs
def sum_one_hot_columns_on_rows(df, col_to_aggregate):
"""
aggregate past loans information (category columns) in one row
:param df: previous loans application dataframe
:param col_to_aggregate: columns to be aggregated
:return datafr... | [
6738,
12351,
13,
26791,
13,
26791,
1330,
1635,
198,
11748,
12351,
13,
11250,
13,
3103,
6448,
355,
50115,
628,
198,
4299,
2160,
62,
505,
62,
8940,
62,
28665,
82,
62,
261,
62,
8516,
7,
7568,
11,
951,
62,
1462,
62,
9460,
49373,
2599,
... | 2.436142 | 1,151 |
'''
实验名称：EEPROM（AT24C02）
版本：v1.0
日期：2020.12
作者：01Studio
说明：EEPROM的读写实验
'''
from at24c02 import AT24C02
import time
EE = AT24C02(i2c_num=1) #哥伦布的B8,B9为I2C1
EE.write(1,8) #往地址1写入数字8（用户可以更改自己写的数字）
time.sleep_ms(5) #需要适当延时再读取
print(EE.read(1)) #读取地址1数据，等于前面写入的数字
| [
7061,
6,
198,
22522,
252,
165,
103,
234,
28938,
235,
163,
100,
108,
171,
120,
248,
6500,
4805,
2662,
171,
120,
230,
1404,
1731,
34,
2999,
171,
120,
231,
198,
48304,
17312,
105,
171,
120,
248,
85,
16,
13,
15,
198,
33768,
98,
17312,... | 0.964413 | 281 |
# Copyright (c) 2015 OpenStack Foundation
#
# 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 ... | [
2,
15069,
357,
66,
8,
1853,
4946,
25896,
5693,
198,
2,
198,
2,
220,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
345,
743,
198,
2,
220,
220,
220,
407,
779,
428,
2393,
2845,
287,
... | 3.048736 | 554 |
# -*- coding: utf-8 -*-
"""NIM REST API Python Client -- Team component"""
from __future__ import absolute_import
import json
from netease_im import util
from netease_im.components import base
from netease_im.util import is_str_type
__author__ = "Manson Li"
__email__ = "manson.li3307@gmail.com"
class TeamCompone... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
37811,
45,
3955,
30617,
7824,
11361,
20985,
1377,
4816,
7515,
37811,
198,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
198,
11748,
33918,
198,
198,
6738,... | 1.94756 | 2,746 |
from rest_framework import serializers, viewsets
from .models import Note
class NoteSerializer(serializers.HyperlinkedModelSerializer):
"""Serializer to define the API representation for Notes"""
class NoteViewSet(viewsets.ModelViewSet):
"""ViewSet to define the view behavior for Notes."""
serializer_clas... | [
6738,
1334,
62,
30604,
1330,
11389,
11341,
11,
5009,
1039,
198,
6738,
764,
27530,
1330,
5740,
198,
198,
4871,
5740,
32634,
7509,
7,
46911,
11341,
13,
38197,
25614,
17633,
32634,
7509,
2599,
198,
220,
220,
220,
37227,
32634,
7509,
284,
8... | 3.621359 | 103 |
import os
| [
11748,
28686,
198
] | 3.333333 | 3 |
'''
Defines classes for the pattern of browsing a number of dyanmic views.
@author: Peter Parente <parente@cs.unc.edu>
@copyright: Copyright (c) 2008 Peter Parente
@license: BSD License
All rights reserved. This program and the accompanying materials are made
available under the terms of The BSD License which accompa... | [
7061,
6,
198,
7469,
1127,
6097,
329,
262,
3912,
286,
23182,
257,
1271,
286,
288,
4121,
9383,
5009,
13,
198,
198,
31,
9800,
25,
5613,
16774,
68,
1279,
8000,
68,
31,
6359,
13,
19524,
13,
15532,
29,
198,
31,
22163,
4766,
25,
15069,
3... | 2.743252 | 1,593 |
from abc import ABC, abstractmethod
from datetime import datetime
from functools import cached_property
from typing import Mapping
from uuid import uuid4
from dateutil.tz import tzutc
from app.utilities.json import json_dumps
| [
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
6738,
1257,
310,
10141,
1330,
39986,
62,
26745,
198,
6738,
19720,
1330,
337,
5912,
198,
6738,
334,
27112,
1330,
334,
27112,
19,
198,
198,
6738,
... | 3.523077 | 65 |
"""
A zero-indexed array arr consisting of n integers is given.
The dominator of array arr is the value that occurs in more than half of the elements of arr.
For example, consider array arr such that arr = [3,4,3,2,3,1,3,3]
The dominator of arr is 3 because it occurs in 5 out of 8 elements of arr and 5 is more than a ... | [
37811,
198,
32,
6632,
12,
9630,
276,
7177,
5240,
17747,
286,
299,
37014,
318,
1813,
13,
198,
198,
464,
7462,
1352,
286,
7177,
5240,
318,
262,
1988,
326,
8833,
287,
517,
621,
2063,
286,
262,
4847,
286,
5240,
13,
198,
1890,
1672,
11,
... | 2.634228 | 298 |
import collections
import numpy
from xgboost.callback import print_evaluation
import Crawler
import SentAnalysis
import DatabaseService
from flask import Flask, request, Response
| [
11748,
17268,
198,
11748,
299,
32152,
198,
6738,
2124,
70,
39521,
13,
47423,
1330,
3601,
62,
18206,
2288,
198,
11748,
20177,
1754,
198,
11748,
11352,
32750,
198,
11748,
24047,
16177,
198,
6738,
42903,
1330,
46947,
11,
2581,
11,
18261,
628... | 4.357143 | 42 |
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import relationship
from sqlalchemy.sql.schema import MetaData
db = SQLAlchemy(
metadata=MetaData(
naming_convention={
"ix": 'ix_%(column_0_label)s',
"uq": "uq_%(table_na... | [
6738,
42903,
62,
25410,
282,
26599,
1330,
16363,
2348,
26599,
198,
6738,
44161,
282,
26599,
13,
2302,
13,
32446,
283,
876,
1330,
6875,
62,
35226,
198,
6738,
44161,
282,
26599,
13,
579,
1330,
2776,
198,
6738,
44161,
282,
26599,
13,
25410... | 1.978261 | 276 |
import requests,sys,time
import time,datetime
| [
11748,
7007,
11,
17597,
11,
2435,
198,
11748,
640,
11,
19608,
8079,
628,
198
] | 3.428571 | 14 |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import datetime
import os
import re
import shutil
import subprocess
import sys
import time
import urllib.parse
import xbmc
import xbmcgui
import xbmcplugin
import xbmcaddon
import xbmcvfs
__PLUGIN_ID__ = "plugin.picture.sane-scanner"
_PLUGIN_NAME = "Kodi Sane Scanner"
_TMP... | [
2,
48443,
14629,
14,
8800,
14,
29412,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
4818,
8079,
198,
11748,
28686,
198,
11748,
302,
198,
11748,
4423,
346,
198,
11748,
850,
14681,
198,
11748,
250... | 2.064151 | 795 |
import urllib.request,json
from .models import Quote
get_quotes_url = 'http://quotes.stormconsultancy.co.uk/random.json'
| [
11748,
2956,
297,
571,
13,
25927,
11,
17752,
198,
6738,
764,
27530,
1330,
19879,
628,
198,
198,
1136,
62,
421,
6421,
62,
6371,
796,
705,
4023,
1378,
421,
6421,
13,
12135,
5936,
586,
3883,
13,
1073,
13,
2724,
14,
25120,
13,
17752,
6,... | 2.116883 | 77 |
# Copyright 2016-2017 ZTE Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | [
2,
15069,
1584,
12,
5539,
1168,
9328,
10501,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
19... | 2.93871 | 310 |
import re
import string
import logging
from tcutils.util import get_random_name, retry, is_v6
result_file = '/tmp/ping'
class Ping:
''' Helper to generate ping traffic
Mandatory args:
host : Dest IP
sender_vm_fixture : Sender VMs fixture handle
Supports ping with IPv4 and IPv6
... | [
11748,
302,
198,
11748,
4731,
198,
11748,
18931,
198,
6738,
256,
8968,
4487,
13,
22602,
1330,
651,
62,
25120,
62,
3672,
11,
1005,
563,
11,
318,
62,
85,
21,
198,
198,
20274,
62,
7753,
796,
31051,
22065,
14,
13886,
6,
198,
198,
4871,
... | 1.999693 | 3,262 |
import origen, subprocess, builtins, types, inspect, re, pathlib
from .. import origen_sphinx_extension as ose
def insert_header(app, docname, source):
'''
Insert content at the beginning of the docs.
Currently inserts:
* Any |shorthand| ``include`` RST files
'''
ext = ose.sphinx_ext(ap... | [
11748,
1796,
268,
11,
850,
14681,
11,
3170,
1040,
11,
3858,
11,
10104,
11,
302,
11,
3108,
8019,
198,
6738,
11485,
1330,
1796,
268,
62,
82,
746,
28413,
62,
2302,
3004,
355,
267,
325,
628,
198,
198,
4299,
7550,
62,
25677,
7,
1324,
1... | 2.238462 | 910 |
from graph_depth_first import __version__
import pytest
from graph_depth_first.graph_depth import *
@pytest.fixture
# Node can be successfully added to the graph
# An edge can be successfully added to the graph
# A collection of all nodes can be properly retrieved from the graph
# All appropriate neighbo... | [
6738,
4823,
62,
18053,
62,
11085,
1330,
11593,
9641,
834,
198,
11748,
12972,
9288,
198,
198,
6738,
4823,
62,
18053,
62,
11085,
13,
34960,
62,
18053,
1330,
1635,
628,
628,
198,
198,
31,
9078,
9288,
13,
69,
9602,
198,
198,
2,
19081,
4... | 4.156463 | 147 |
##############################################################
#
# script uses local X axis to compute element Length and snapshot it along a curve
# 21.02.2016
# Sergey Solohin (Neill3d) 2016
# e-mail to: s@neill3d.com
# www.neill3d.com
#
# Github repo - https://github.com/Neill3d/MoPlugs
# Licensed under BSD... | [
198,
29113,
14468,
7804,
4242,
2235,
198,
2,
198,
2,
4226,
3544,
1957,
1395,
16488,
284,
24061,
5002,
22313,
290,
27479,
340,
1863,
257,
12133,
198,
2,
2310,
13,
2999,
13,
5304,
198,
2,
36106,
4294,
1219,
259,
357,
26538,
18,
67,
8,... | 3.309392 | 181 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from FUNCS import FNS
from LEGS import LegVar, LegFun
from BMAP3D import MapVar, MapFun
# ---------------------------------------------------------------------------------------------------------------------
# Leg Module - pr... | [
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
2603,
29487,
8019,
13,
11227,
341,
355,
11034,
198,
198,
6738,
29397,
7902,
1330,
376,
8035,
198,
6738,
20978,
50,
1330,
3564,
1985... | 3.164384 | 584 |
dice_state = 0
# https://adventofcode.com/2021/day/21
if __name__ == '__main__':
res = solve(2, 5)
print(res)
| [
67,
501,
62,
5219,
796,
657,
628,
198,
2,
3740,
1378,
324,
1151,
1659,
8189,
13,
785,
14,
1238,
2481,
14,
820,
14,
2481,
628,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
581,
796,
8494,
7,
... | 2.2 | 55 |
import io
import json
import re
| [
11748,
33245,
198,
11748,
33918,
198,
11748,
302,
198
] | 3.555556 | 9 |
from time import strftime, strptime
from datetime import date, timedelta, datetime
from handler.BaseHandler import *
from model.Accounts import *
from util import *
| [
6738,
640,
1330,
965,
31387,
11,
965,
457,
524,
198,
6738,
4818,
8079,
1330,
3128,
11,
28805,
12514,
11,
4818,
8079,
198,
198,
6738,
21360,
13,
14881,
25060,
1330,
1635,
198,
6738,
2746,
13,
30116,
82,
1330,
1635,
198,
6738,
7736,
133... | 3.733333 | 45 |
from collections import Counter
from .utils import to_unicode
''' from .value_checks import (is_a_date, is_a_number, is_a_nothing,
is_a_latitude, is_a_longitude, is_a_coord_pair, is_a_country, is_a_city,
is_a_state, is_a_address, is_a_text, is_a_label, is_a_zip, is_a_street,
is_a_phone, is_a_url, is_a_ema... | [
6738,
17268,
1330,
15034,
198,
6738,
764,
26791,
1330,
284,
62,
46903,
1098,
198,
7061,
6,
422,
764,
8367,
62,
42116,
1330,
357,
271,
62,
64,
62,
4475,
11,
318,
62,
64,
62,
17618,
11,
318,
62,
64,
62,
22366,
11,
198,
220,
220,
2... | 2.57197 | 264 |
"""
What are the two primary categories for tree traversals?
A - 1- Depth-First
2- Breadth-First
B - 1- Height-First
2- Width-First
C - 1- Level-First
2- Branch-First
D - 1- Leaf-First
2- Branch-First
answer is :
""" | [
37811,
198,
198,
2061,
389,
262,
734,
4165,
9376,
329,
5509,
33038,
874,
30,
198,
198,
32,
532,
352,
12,
36350,
12,
5962,
198,
220,
362,
12,
28731,
400,
12,
5962,
198,
198,
33,
532,
352,
12,
27280,
12,
5962,
220,
220,
198,
220,
... | 2.568421 | 95 |
# 1100. Find K-Length Substrings With No Repeated Characters
import collections
print(Solution().numKLenSubstrNoRepeats("havefunonleetcode", 5)) | [
2,
36566,
13,
9938,
509,
12,
24539,
3834,
37336,
2080,
1400,
30558,
515,
26813,
198,
11748,
17268,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
4798,
7,
46344,
22446,
22510,
42,
30659,
7004,
2536,
2949,
47541,... | 2.962264 | 53 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** 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, overload
from ... import _utilities
fro... | [
2,
19617,
28,
40477,
12,
23,
198,
2,
17202,
39410,
25,
428,
2393,
373,
7560,
416,
262,
21624,
12994,
26144,
35986,
13,
17202,
198,
2,
17202,
2141,
407,
4370,
416,
1021,
4556,
345,
821,
1728,
345,
760,
644,
345,
389,
1804,
0,
17202,
... | 2.363636 | 1,562 |
import torch
import numpy as np
import time | [
11748,
28034,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
640
] | 3.909091 | 11 |
import create_word_lists
| [
11748,
2251,
62,
4775,
62,
20713,
628,
628
] | 3.5 | 8 |
# Server is setup here
from flask import (
Flask,
render_template,
redirect,
request,
jsonify,
make_response,
Response,
)
from flask_bootstrap import Bootstrap
import psycopg2
import logging
from odm360.log import start_logger, stream_logger
from odm360.camera360rig import do_request
from o... | [
2,
9652,
318,
9058,
994,
198,
6738,
42903,
1330,
357,
198,
220,
220,
220,
46947,
11,
198,
220,
220,
220,
8543,
62,
28243,
11,
198,
220,
220,
220,
18941,
11,
198,
220,
220,
220,
2581,
11,
198,
220,
220,
220,
33918,
1958,
11,
198,
... | 2.664966 | 1,176 |
import numpy as np
import datetime
from keras.models import Model
from keras.layers import Input, Activation, Reshape, BatchNormalization, MaxPool2D, Conv2D, Add, Dropout, Flatten, Dense
from keras.optimizers import Adam
from keras.preprocessing.image import ImageDataGenerator
from keras.applications import xception
... | [
11748,
299,
32152,
355,
45941,
198,
11748,
4818,
8079,
198,
198,
6738,
41927,
292,
13,
27530,
1330,
9104,
198,
6738,
41927,
292,
13,
75,
6962,
1330,
23412,
11,
13144,
341,
11,
1874,
71,
1758,
11,
347,
963,
26447,
1634,
11,
5436,
27201... | 2.752874 | 174 |
from __future__ import print_function
# basic functions
import argparse
import os
import random
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.switch_backend('agg')
# torch functions
import torch
import torch.nn as nn
import torch.nn.parallel
from torch.autograd import grad as ... | [
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
2,
4096,
5499,
198,
11748,
1822,
29572,
198,
11748,
28686,
198,
11748,
4738,
198,
11748,
10688,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
1174... | 2.189739 | 6,783 |
""" You have a bomb to defuse, and your time is running out! Your informer will
provide you with a circular array code of length of n and a key k. To decrypt
the code, you must replace every number. All the numbers are replaced
simultaneously.
If k > 0, replace the ith number with the sum of the next... | [
37811,
220,
220,
921,
423,
257,
5194,
284,
825,
1904,
11,
290,
534,
640,
318,
2491,
503,
0,
3406,
4175,
263,
481,
198,
220,
220,
2148,
345,
351,
257,
18620,
7177,
2438,
286,
4129,
286,
299,
290,
257,
1994,
479,
13,
1675,
42797,
19... | 2.945122 | 328 |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# In[2]:
df=pd.read_csv("./Dataset/Mall_Customers.csv")
# In[3]:
df.head()
# In[4]:
df.info()
# In[5]:
df.describe()
# In[6]:
df.rename(columns={'Annual Inco... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
19617,
25,
3384,
69,
12,
23,
198,
198,
2,
554,
58,
16,
5974,
628,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
2603,
29487,
8019,
13,
90... | 2.202944 | 1,902 |
import json
import sys
f = open('/path/to/json', 'r')
h = json.load(f)
'''
for i in h["UEN_DATAGOV"]["BODY"][0]["DATA"]:
if i["ENTITY_NAME"][0] == "LEGALESE PTE. LTD.":
print i["ENTITY_NAME"][0]
print i["UEN"][0]
'''
# note that my parser prints the key values into a single-element array
chunkSiz... | [
11748,
33918,
198,
11748,
25064,
198,
198,
69,
796,
1280,
10786,
14,
6978,
14,
1462,
14,
17752,
3256,
705,
81,
11537,
198,
71,
796,
33918,
13,
2220,
7,
69,
8,
198,
198,
7061,
6,
198,
1640,
1312,
287,
289,
14692,
52,
1677,
62,
35,
... | 2.076046 | 263 |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import scrapy
from scrapy.pipelines.images import ImagesPipeline | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
2,
2896,
500,
534,
2378,
31108,
994,
198,
2,
198,
2,
2094,
470,
6044,
284,
751,
534,
11523,
284,
262,
7283,
3620,
62,
47,
4061,
3698,
1268,
1546,
4634,
198,
2,
... | 2.815217 | 92 |
import os
import pandas as pd
from feature_extraction.date_utils import date_features
from feature_extraction.coords_features import coord_features
from feature_extraction.other_features import raw_features, categorical_features
from feature_extraction.path_utils import project_root
import xgboost as xgb
import joblib
... | [
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
3895,
62,
2302,
7861,
13,
4475,
62,
26791,
1330,
3128,
62,
40890,
198,
6738,
3895,
62,
2302,
7861,
13,
1073,
3669,
62,
40890,
1330,
6349,
62,
40890,
198,
6738,
3895,
62,
... | 2.682584 | 356 |
from flask import Blueprint, render_template, session
view = Blueprint('view', __name__, template_folder='templates')
@view.route('/')
print('view working') | [
6738,
42903,
1330,
39932,
11,
8543,
62,
28243,
11,
6246,
198,
198,
1177,
796,
39932,
10786,
1177,
3256,
11593,
3672,
834,
11,
11055,
62,
43551,
11639,
11498,
17041,
11537,
198,
198,
31,
1177,
13,
38629,
10786,
14,
11537,
198,
220,
220,
... | 3.192308 | 52 |
import pprint
import random
from collections import defaultdict, deque
from enum import Enum, auto
from typing import *
import numpy as np
V = TypeVar("V")
D = TypeVar("D")
Solution = Dict[V, D]
Constraint = Callable[[Solution], bool]
if __name__ == "__main__":
kwargs = {
"pruning_type": ... | [
11748,
279,
4798,
198,
11748,
4738,
198,
6738,
17268,
1330,
4277,
11600,
11,
390,
4188,
198,
6738,
33829,
1330,
2039,
388,
11,
8295,
198,
6738,
19720,
1330,
1635,
198,
198,
11748,
299,
32152,
355,
45941,
198,
198,
53,
796,
5994,
19852,
... | 2.3 | 260 |
# Copyright (c) 2017-2020 Wenyi Tang.
# Author: Wenyi Tang
# Email: wenyitang@outlook.com
# Update: 2020 - 5 - 28
import logging
_logger = logging.getLogger("VSR.RWSR")
_logger.info("LICENSE: RealSR is implemented by Xiaozhong Ji. "
"@xiaozhongji https://github.com/jixiaozhong/RealSR")
| [
2,
220,
15069,
357,
66,
8,
2177,
12,
42334,
370,
28558,
72,
18816,
13,
198,
2,
220,
6434,
25,
370,
28558,
72,
18816,
198,
2,
220,
9570,
25,
266,
28558,
270,
648,
31,
448,
5460,
13,
785,
198,
2,
220,
10133,
25,
12131,
532,
642,
... | 2.401575 | 127 |
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
def no_ticks(ax, axis="both"):
"""
Remove ticks and labels from one or both axis.
ax : matplotlib ax object.
axis : "both", "x", "y"
"""
from numpy import ndarray
try:
for axi in ax:
set(axi)
... | [
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
198,
6738,
2603,
29487,
8019,
1330,
12972,
29487,
355,
458,
83,
628,
198,
4299,
645,
62,
83,
3378,
7,
897,
11,
16488,
2625,
16885,
1,
2599,
198,
220,
220,
220,
37227,
198,
... | 2.164354 | 937 |
print((
ld('kitten','kitten'), # 0
ld('kitten','sitten'), # 1
ld('kitten','sittes'), # 2
ld('kitten','sityteng'), # 3
ld('kitten','sittYing'), # 4
ld('rosettacode','raisethysword'), # 8
ld('kitten','kittenaaaaaaaaaaaaaaaaa'), # 17
ld('kittenaaaaaaaaaaaaaaaaa','kitten') # 17
))
print((
... | [
198,
4798,
19510,
198,
220,
220,
220,
300,
67,
10786,
74,
2621,
41707,
74,
2621,
33809,
1303,
657,
198,
220,
220,
220,
300,
67,
10786,
74,
2621,
41707,
82,
2621,
33809,
1303,
352,
198,
220,
220,
220,
300,
67,
10786,
74,
2621,
41707,... | 2.155844 | 308 |
import cv2 as cv
faceCascade = cv.CascadeClassifier('haarcascade/haarcascade_frontalface_default.xml') #most accurate
eyeCascade = cv.CascadeClassifier('haarcascade/haarcascade_eye.xml')
video = cv.VideoCapture(0)
while(True):
ret, frame = video.read()
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
f... | [
11748,
269,
85,
17,
355,
269,
85,
198,
198,
2550,
34,
28966,
796,
269,
85,
13,
34,
28966,
9487,
7483,
10786,
3099,
5605,
28966,
14,
3099,
5605,
28966,
62,
8534,
1604,
558,
62,
12286,
13,
19875,
11537,
1303,
1712,
7187,
198,
25379,
3... | 1.920195 | 614 |
from braid import *
from sgraph import *
from typing import List
from numpy import random
| [
6738,
275,
7086,
1330,
1635,
198,
6738,
264,
34960,
1330,
1635,
198,
6738,
19720,
1330,
7343,
198,
6738,
299,
32152,
1330,
4738,
628,
628
] | 3.875 | 24 |
##########################################################################
## Package Version
##########################################################################
from .version import get_version, __version_info__
__version__ = get_version(short=True) | [
29113,
29113,
7804,
2235,
198,
2235,
15717,
10628,
198,
29113,
29113,
7804,
2235,
198,
6738,
764,
9641,
1330,
651,
62,
9641,
11,
11593,
9641,
62,
10951,
834,
198,
834,
9641,
834,
796,
651,
62,
9641,
7,
19509,
28,
17821,
8
] | 6.425 | 40 |
# coding: utf-8
from . import views
from django.conf.urls import url
urlpatterns = [
url(
r'^create/(?P<app_label>\w+)/(?P<model>\w+)/(?P<obj_id>\d+)/$',
views.ExampleCreateView.as_view(),
name='create'
),
url(
r'^update/(?P<pk>\d+)/$',
views.ExampleUpdateView.as_... | [
2,
19617,
25,
3384,
69,
12,
23,
198,
198,
6738,
764,
1330,
5009,
198,
198,
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
1330,
19016,
628,
198,
6371,
33279,
82,
796,
685,
198,
220,
220,
220,
19016,
7,
198,
220,
220,
220,
220,
220,
... | 1.889474 | 190 |
# Random forest classification with PCA
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Read Data
from sklearn.datasets import load_iris
dataset = load_iris()
# Choose which features to use
x = dataset["data"] # It has 4 features - with PCA we will reduce it to 3 for 3D visualisation
y =... | [
2,
14534,
8222,
17923,
351,
4217,
32,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
220,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
2,
4149,
6060,
198,
6738,
1341,
35720,
13,
... | 2.686375 | 778 |
from datetime import date
from django.db import models
| [
6738,
4818,
8079,
1330,
3128,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
628,
628,
628
] | 3.588235 | 17 |
from pm4pymdl.visualization import mvp
| [
6738,
9114,
19,
79,
4948,
25404,
13,
41464,
1634,
1330,
285,
36133,
198
] | 3 | 13 |
"""
Created on Dec 22, 2013
@author: root
"""
import Utils
from Utils import print_pypoly_warning
| [
37811,
198,
41972,
319,
4280,
2534,
11,
2211,
198,
198,
31,
9800,
25,
6808,
198,
37811,
198,
11748,
7273,
4487,
198,
6738,
7273,
4487,
1330,
3601,
62,
79,
4464,
3366,
62,
43917,
628
] | 3.030303 | 33 |
from django.conf.urls import url
from django.conf import settings
from . import views
from django.conf.urls.static import static
urlpatterns = [
url(r'^$', views.home_page, name='homePage'),
url(r'^category/', views.category, name='showCategory'),
]
if settings.DEBUG:
urlpatterns+= static(settings.MEDIA_U... | [
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
1330,
19016,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
764,
1330,
5009,
198,
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
13,
12708,
1330,
9037,
198,
198,
6371,
33279,
82,
... | 2.903226 | 124 |
from django.db import models
# Create your models here.
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
198,
2,
13610,
534,
4981,
994,
13,
628
] | 3.625 | 16 |
"""
Dismiss a javascript alert.
"""
from screenpy.abilities import BrowseTheWeb
from screenpy.actor import Actor
from screenpy.pacing import aside, beat
class DismissAlert:
"""Dismiss an alert.
Abilities Required:
|BrowseTheWeb|
Examples::
the_actor.attempts_to(DismissAlert())
"""
... | [
37811,
198,
35,
1042,
747,
257,
44575,
7995,
13,
198,
37811,
198,
198,
6738,
3159,
9078,
13,
5738,
1330,
44775,
464,
13908,
198,
6738,
3159,
9078,
13,
11218,
1330,
27274,
198,
6738,
3159,
9078,
13,
79,
4092,
1330,
7263,
11,
4405,
628,... | 2.619863 | 292 |
#
# working file for testing git support . should be a unit test
#
import sys
import os
from src import check_path
check_path()
from shared.util_git import pull, push, isbehind
if __name__ == "__main__":
test_status()
| [
2,
198,
2,
1762,
2393,
329,
4856,
17606,
1104,
220,
764,
220,
815,
307,
257,
4326,
1332,
198,
2,
198,
11748,
25064,
198,
11748,
28686,
198,
198,
6738,
12351,
1330,
2198,
62,
6978,
198,
9122,
62,
6978,
3419,
198,
198,
6738,
4888,
13,... | 3.094595 | 74 |
"""
Files for every custom exceptions.
"""
class GameNotFoundError(Exception):
"""
Exception to raise when the required game is not found.
"""
| [
37811,
198,
25876,
329,
790,
2183,
13269,
13,
198,
37811,
628,
198,
4871,
3776,
3673,
21077,
12331,
7,
16922,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
35528,
284,
5298,
618,
262,
2672,
983,
318,
407,
1043,
13,
198,
220,
... | 3.413043 | 46 |
from typing import Dict
from botocore.paginate import Paginator
| [
6738,
19720,
1330,
360,
713,
198,
6738,
10214,
420,
382,
13,
79,
363,
4559,
1330,
31525,
20900,
628,
198
] | 3.473684 | 19 |
# -*- coding: utf-8 -*-
LATEST = "2"
f1 = "events.json"
v1 = {
"name": {"type": "string", "minlength": 1, "required": True},
"url": {"type": "string", "minlength": 1, "required": True},
"city": {"type": "string", "minlength": 1, "required": True},
"state": {"type": "string", "required": True, "nullabl... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
43,
1404,
6465,
796,
366,
17,
1,
198,
198,
69,
16,
796,
366,
31534,
13,
17752,
1,
198,
85,
16,
796,
1391,
198,
220,
220,
220,
366,
3672,
1298,
19779,
4906,
12... | 2.660502 | 757 |
#
# PySNMP MIB module HP-ICF-IP-LOCKDOWN-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HP-ICF-IP-LOCKDOWN-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:34:15 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (d... | [
2,
198,
2,
9485,
15571,
7378,
337,
9865,
8265,
6574,
12,
2149,
37,
12,
4061,
12,
36840,
41925,
12,
8895,
33,
357,
4023,
1378,
16184,
76,
489,
8937,
13,
785,
14,
79,
893,
11632,
8,
198,
2,
7054,
45,
13,
16,
2723,
2393,
1378,
14,
... | 2.596815 | 8,351 |
from ....import_utils import *
from ....models_dict import MODEL_REQUIREMENTS
if is_all_dependency_installed(MODEL_REQUIREMENTS['encoders-audio-tfhub-yamnet']):
import tensorflow as tf
import tensorflow_hub as hub
from ..base import BaseAudio2Vec
from ....base import catch_vector_errors
from ....doc_utils impo... | [
6738,
19424,
11748,
62,
26791,
1330,
1635,
198,
6738,
19424,
27530,
62,
11600,
1330,
19164,
3698,
62,
2200,
49128,
28957,
198,
361,
318,
62,
439,
62,
45841,
1387,
62,
37050,
7,
33365,
3698,
62,
2200,
49128,
28957,
17816,
12685,
375,
364... | 3.519595 | 791 |
# -*- coding: utf-8 -*-
# Copyright (c) 2017 "Shopify inc." All rights reserved.
# Use of this source code is governed by a MIT-style license that can be found in the LICENSE file.
from __future__ import unicode_literals
import xml.etree.ElementTree as et
import pytest
import six
import tests.utils
@pytest.fixture
... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
15069,
357,
66,
8,
2177,
366,
29917,
1958,
753,
526,
1439,
2489,
10395,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
21825,
416,
257,
17168,
12,
7635,
5964,
326,
... | 3.23 | 100 |
"""create openvas_vuln table
Revision ID: 506c8e35ba7c
Revises: 13b7c3d4c802
Create Date: 2017-07-21 12:19:35.711173
"""
from sqlalchemy.dialects import postgresql
from alembic import op
import sqlalchemy as sa
import datetime
# revision identifiers, used by Alembic.
revision = '506c8e35ba7c'
down_revision = '13b7c... | [
37811,
17953,
1280,
11017,
62,
85,
377,
77,
3084,
198,
198,
18009,
1166,
4522,
25,
2026,
21,
66,
23,
68,
2327,
7012,
22,
66,
198,
18009,
2696,
25,
1511,
65,
22,
66,
18,
67,
19,
66,
30863,
198,
16447,
7536,
25,
2177,
12,
2998,
12... | 2.483221 | 149 |
# Generated by Django 3.2.4 on 2021-07-09 04:35
from django.db import migrations
| [
2,
2980,
515,
416,
37770,
513,
13,
17,
13,
19,
319,
33448,
12,
2998,
12,
2931,
8702,
25,
2327,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
628
] | 2.766667 | 30 |
import torch
import numpy as np
import collections
from itertools import repeat
import random
def flatten(x):
'''
flatten high dimensional tensor x into an array
:param x:
:return: 1 dimensional tensor
'''
dims = x.size()[1:] #remove the first dimension as it is batch dimension
num_features... | [
11748,
28034,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
17268,
198,
6738,
340,
861,
10141,
1330,
9585,
198,
11748,
4738,
198,
198,
4299,
27172,
268,
7,
87,
2599,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
27172,
268,
102... | 2.743961 | 621 |