content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2018 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Models for storing information about OAIServer state."""
from datetime import dat... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
770,
2393,
318,
636,
286,
554,
574,
952,
13,
198,
2,
15069,
357,
34,
8,
1853,
12,
7908,
327,
28778,
13,
198,
2,
198,
2,
554,
574,
952,
318,
1479,
3788... | 2.44269 | 1,457 |
import os
import pandas as pd
import sqlite3
CSV_FILEPATH = os.path.join(os.path.dirname(__file__), "..", "data", "buddymove_holidayiq.csv")
DB_FILEPATH = os.path.join(os.path.dirname(__file__), "..", "data", "buddymove_holidayiq.db")
connection = sqlite3.connect(DB_FILEPATH)
table_name = "reviews2"
df = pd.read_cs... | [
198,
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
44161,
578,
18,
198,
198,
7902,
53,
62,
25664,
34219,
796,
28686,
13,
6978,
13,
22179,
7,
418,
13,
6978,
13,
15908,
3672,
7,
834,
7753,
834,
828,
366,
492,
1600,
... | 2.845574 | 531 |
from .helpers import *
from .logger import Logger | [
6738,
764,
16794,
364,
1330,
1635,
198,
6738,
764,
6404,
1362,
1330,
5972,
1362
] | 3.5 | 14 |
# Copyright 2021 Thomas Battenfeld, Alexander Thomas, Johannes Köster.
# Licensed under the BSD 2-Clause License (https://opensource.org/licenses/BSD-2-Clause)
# This file may not be copied, modified, or distributed
# except according to those terms.
import sys
sys.stderr = open(snakemake.log[0], "w")
import altair ... | [
2,
15069,
33448,
5658,
12350,
268,
16265,
11,
10009,
5658,
11,
38579,
509,
9101,
1706,
13,
198,
2,
49962,
739,
262,
347,
10305,
362,
12,
2601,
682,
13789,
357,
5450,
1378,
44813,
1668,
13,
2398,
14,
677,
4541,
14,
21800,
12,
17,
12,... | 2.568504 | 635 |
# Generated by Django 2.0.1 on 2018-09-18 17:56
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
362,
13,
15,
13,
16,
319,
2864,
12,
2931,
12,
1507,
1596,
25,
3980,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from skimage import io,color,img_as_ubyte
import random
import os
from 畫直方圖 import PH
random.seed(100)
Embed_mod('./oneshoe/oneshoe1-1','./oneshoe1','./oneshoe/oneshoe-edge.png',20,7) #input路徑+output路徑+原框路徑+數量+mod值
Embed_mod('./oneshoe/one... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
1341,
9060,
1330,
33245,
11,
8043,
11,
9600,
62,
292,
62,
549,
88,
660,
198,
11748,
4738,
198,
11748,
28686,
19... | 1.508951 | 391 |
"""
See https://github.com/mitsuhiko/flask-oauth/blob/master/example/google.py
"""
import flask
from flask_oauth import OAuth
import requests
from sharebears import app
_GOOGLE_REDIRECT_URI = "/sign_in_google_complete"
_oauth = OAuth()
_google = _oauth.remote_app("google",
base_url="https://www.google.com/acco... | [
37811,
198,
6214,
3740,
1378,
12567,
13,
785,
14,
24883,
7456,
12125,
14,
2704,
2093,
12,
12162,
1071,
14,
2436,
672,
14,
9866,
14,
20688,
14,
13297,
13,
9078,
198,
37811,
198,
198,
11748,
42903,
198,
6738,
42903,
62,
12162,
1071,
133... | 2.495702 | 349 |
#!/usr/loca/bin/python
''' create an auth_key'''
import time
import base64
import pyDes
from settings import USER_NAME, USER_ID, TOKEN_APP, TOKEN_KEY
def gettoken():
''' create an auth_key'''
sign = '{}|{}|{}|{}'.format(USER_NAME, USER_ID, TOKEN_APP, int(time.time()))
k = pyDes.des(TOKEN_KEY, pyDes.CBC, T... | [
2,
48443,
14629,
14,
75,
11216,
14,
8800,
14,
29412,
198,
7061,
6,
2251,
281,
6284,
62,
2539,
7061,
6,
198,
11748,
640,
198,
11748,
2779,
2414,
198,
11748,
12972,
5960,
198,
6738,
6460,
1330,
1294,
1137,
62,
20608,
11,
1294,
1137,
6... | 2.296703 | 182 |
'''
Management and display of home page and other content pages.
'''
default_app_config = 'mep.pages.apps.PagesConfig'
| [
7061,
6,
198,
48032,
290,
3359,
286,
1363,
2443,
290,
584,
2695,
5468,
13,
198,
7061,
6,
198,
198,
12286,
62,
1324,
62,
11250,
796,
705,
76,
538,
13,
31126,
13,
18211,
13,
47798,
16934,
6,
198
] | 3.243243 | 37 |
import os
import glob
import torch
from torchtext.datasets.imdb import IMDB
from nltk.tokenize.casual import TweetTokenizer
import numpy as np
UNK = 0
PAD = 1
| [
11748,
28686,
198,
11748,
15095,
198,
11748,
28034,
198,
6738,
28034,
5239,
13,
19608,
292,
1039,
13,
320,
9945,
1330,
8959,
11012,
198,
6738,
299,
2528,
74,
13,
30001,
1096,
13,
34004,
723,
1330,
18752,
30642,
7509,
198,
11748,
299,
32... | 2.945455 | 55 |
# coding = utf-8
import face_recognition
import cv2
import numpy as np
import os, sys
import time
os.chdir('/home/pi/ZYDEMO/iota')
# 创建视频对象
# 加载当前目录下名为'yht.jpg'的照片，照片里需要有且仅有一张脸，这张脸将作为认识的脸
# if __name__ == '__main__':
# face_rec(None)
| [
2,
19617,
796,
3384,
69,
12,
23,
198,
11748,
1986,
62,
26243,
653,
198,
11748,
269,
85,
17,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
11,
25064,
198,
11748,
640,
198,
198,
418,
13,
354,
15908,
10786,
14,
11195,
14,
1441... | 1.318919 | 185 |
"""API data models"""
| [
37811,
17614,
1366,
4981,
37811,
198
] | 3.666667 | 6 |
from boa3.builtin import public
@public
| [
6738,
1489,
64,
18,
13,
18780,
259,
1330,
1171,
628,
198,
31,
11377,
198
] | 3 | 14 |
from __future__ import division, print_function
import numpy as np
def sinusoid(p,t):
'''
calculate sine function plus constant offset in y
p - parameters (A, f, phi, b)
t - discrete times
'''
y = p[0]*np.sin(2*np.pi*p[1]*t+p[2]) + p[3]
return y
| [
6738,
11593,
37443,
834,
1330,
7297,
11,
3601,
62,
8818,
198,
11748,
299,
32152,
355,
45941,
198,
198,
4299,
7813,
385,
1868,
7,
79,
11,
83,
2599,
628,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
15284,
264,
500,
2163,
5556,
6937,... | 2.305785 | 121 |
from django.contrib.auth import get_user_model
from rest_framework.test import APITestCase
from courses.models import Course
from courses.tests.base import DatasetMixin, JWTAuthMixin
User = get_user_model()
| [
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
1330,
651,
62,
7220,
62,
19849,
198,
6738,
1334,
62,
30604,
13,
9288,
1330,
3486,
2043,
395,
20448,
198,
198,
6738,
10902,
13,
27530,
1330,
20537,
198,
6738,
10902,
13,
41989,
13,
8692,
13... | 3.230769 | 65 |
#coding:utf-8
import sys
import hashlib
if __name__ == '__main__':
main_test()
| [
2,
66,
7656,
25,
40477,
12,
23,
198,
198,
11748,
25064,
198,
11748,
12234,
8019,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
197,
12417,
62,
9288,
3419,
198
] | 2.411765 | 34 |
import os
import json
from logging.handlers import TimedRotatingFileHandler
import logging
class ProcessStep(object):
""" Base Class used to build data processing chain """
next_step = None
def process(self, step_input):
""" Process input and and return output """
return self.next(ste... | [
11748,
28686,
198,
11748,
33918,
198,
6738,
18931,
13,
4993,
8116,
1330,
5045,
276,
24864,
803,
8979,
25060,
198,
198,
11748,
18931,
628,
198,
198,
4871,
10854,
8600,
7,
15252,
2599,
198,
220,
220,
220,
37227,
7308,
5016,
973,
284,
1382... | 2.944039 | 411 |
'''
create_machine.py
allows users to create a FA
'''
from xml.dom.minidom import parse, Node
import re
| [
7061,
6,
198,
17953,
62,
30243,
13,
9078,
220,
198,
198,
47205,
2985,
284,
2251,
257,
9677,
198,
220,
198,
7061,
6,
198,
6738,
35555,
13,
3438,
13,
1084,
312,
296,
1330,
21136,
11,
19081,
198,
11748,
302,
628,
628,
220,
220,
220,
... | 2.245614 | 57 |
# Copyright (c) 2017 Hedvig 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 ... | [
2,
15069,
357,
66,
8,
2177,
30920,
85,
328,
3457,
13,
198,
2,
1439,
6923,
33876,
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,... | 3.397351 | 302 |
# -*- coding: utf-8 -*-
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTI... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
8336,
13798,
318,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
4943,
198,
2,
198,
2,
15069,
357,
66,
8,
1946,
12,
1238,
2481,
833... | 3.177885 | 208 |
# Copyright 2014-2018 PUNCH Cyber Analytics Group
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
2,
220,
220,
15069,
1946,
12,
7908,
350,
47461,
15101,
30437,
4912,
198,
2,
198,
2,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
220,
345,
743,
407,
779,
428,
2393,
28... | 3.724 | 250 |
#!/usr/bin/env python
files = ['A96fig_withnames.tre',
'B98fig_withnames.tre',
'H98fig_withnames.tre',
'I85fig_withnames.tre',
'N98fig_withnames.tre',
'P95fig_withnames.tre',
'S90fig_withnames.tre']
trees = []
prefix = '../original data files/'
for file in files... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
16624,
796,
37250,
32,
4846,
5647,
62,
4480,
14933,
13,
33945,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
705,
33,
4089,
5647,
62,
4480,
14933,
13,
33945,
3256,
198,
220... | 1.972477 | 327 |
from ..config import get_logger
| [
6738,
11485,
11250,
1330,
651,
62,
6404,
1362,
628
] | 3.666667 | 9 |
from main import application
| [
6738,
1388,
1330,
3586,
198
] | 5.8 | 5 |
r"""
Processes the Excel file in:
D:\data\NRSI\2263B_Turtle-Nest-Mound
"""
import pandas as pd
import numpy as np
import os
# First - load all the folders
baseDir = r"D:\data\NRSI\2263B_Turtle-Nest-Mound"
def getDirectories(baseDir: str) -> list[str]:
"""Get the list of directories in the given base... | [
81,
37811,
198,
220,
220,
220,
10854,
274,
262,
24134,
2393,
287,
25,
198,
220,
220,
220,
220,
220,
220,
220,
360,
7479,
7890,
59,
41256,
40,
59,
1828,
5066,
33,
62,
51,
17964,
12,
45,
395,
12,
44,
633,
198,
37811,
198,
11748,
1... | 2.652574 | 1,088 |
entrada = int(input())
k = 0
while(k< entrada):
num = int(input())
k += 1
soma = 0
for i in range(0,num):
if( i%2 == 0):
soma += 1
elif ( i% 2 != 0):
soma = soma - 1
print(soma)
| [
298,
81,
4763,
796,
493,
7,
15414,
28955,
198,
198,
74,
796,
657,
198,
4514,
7,
74,
27,
24481,
4763,
2599,
198,
220,
220,
220,
997,
796,
493,
7,
15414,
28955,
198,
220,
220,
220,
479,
15853,
352,
198,
220,
220,
220,
3870,
64,
79... | 1.744526 | 137 |
import numpy as np
from robot_map import Map
import os
import json
from a_star import AStarPlanner
import matplotlib.pyplot as plt
from dynamic_window_approach import main
class MapGen:
"""Class for generating roads"""
def test_case_generate(self):
"""Function that produces a list with states and ... | [
11748,
299,
32152,
355,
45941,
198,
198,
6738,
9379,
62,
8899,
1330,
9347,
198,
198,
11748,
28686,
198,
11748,
33918,
198,
6738,
257,
62,
7364,
1330,
317,
8248,
20854,
1008,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
... | 1.999565 | 2,299 |
"""
This code is taken from the hyperlearn library: https://github.com/danielhanchen/hyperlearn/
And distributed together with the license therein:
BSD 3-Clause License
Copyright (c) 2020, Daniel Han-Chen
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are perm... | [
37811,
198,
1212,
2438,
318,
2077,
422,
262,
8718,
35720,
5888,
25,
3740,
1378,
12567,
13,
785,
14,
67,
6321,
71,
1192,
831,
14,
49229,
35720,
14,
198,
198,
1870,
9387,
1978,
351,
262,
5964,
27258,
25,
628,
198,
21800,
513,
12,
2601... | 2.946809 | 846 |
from django.conf.urls.defaults import patterns, url
urlpatterns = patterns('cropper.views',
url('^$', view='upload', name='cropper_upload'),
url('^(?P<original_id>\d+)/$', view='crop', name='cropper_crop'),
)
| [
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
13,
12286,
82,
1330,
7572,
11,
19016,
198,
198,
6371,
33279,
82,
796,
7572,
10786,
19915,
2848,
13,
33571,
3256,
198,
220,
220,
220,
19016,
10786,
61,
3,
3256,
1570,
11639,
25850,
3256,
143... | 2.626506 | 83 |
from pandocfilters import toJSONFilter, toJSONFilters, Math, Para, Image, RawInline, Str
import sys
import re
import os
if __name__ == "__main__":
toJSONFilters([processCustomImageSize])
| [
6738,
19798,
420,
10379,
1010,
1330,
284,
40386,
22417,
11,
284,
40386,
11928,
1010,
11,
16320,
11,
2547,
64,
11,
7412,
11,
16089,
818,
1370,
11,
4285,
198,
11748,
25064,
198,
11748,
302,
198,
11748,
28686,
628,
198,
198,
361,
11593,
... | 3.096774 | 62 |
from django.db import models
from south.modelsinspector import add_introspection_rules
add_introspection_rules([], ["^utils\.compressed_textfield\.StoryField"])
def uncompress_string(s):
'''helper function to reverse django.utils.text.compress_string'''
import cStringIO, gzip
try:
zbuf = cStringIO... | [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
198,
6738,
5366,
13,
27530,
1040,
806,
273,
1330,
751,
62,
600,
305,
31308,
62,
38785,
198,
2860,
62,
600,
305,
31308,
62,
38785,
26933,
4357,
14631,
61,
26791,
17405,
5589,
2790,
62,
523... | 2.405128 | 195 |
import getpass
import json
import os
import subprocess
import sys
import tempfile
import uuid
from . import config
| [
11748,
651,
6603,
198,
11748,
33918,
198,
11748,
28686,
198,
11748,
850,
14681,
198,
11748,
25064,
198,
11748,
20218,
7753,
198,
11748,
334,
27112,
198,
6738,
764,
1330,
4566,
628,
628,
198
] | 3.71875 | 32 |
# -*- coding: utf-8 -*-
# vim: set noai syntax=python ts=4 sw=4:
#
# Copyright (c) 2018-2021 Linh Pham
# wwdtm is released under the terms of the Apache License 2.0
"""Wait Wait Don't Tell Me! Stats Location Data Utility Functions
"""
from functools import lru_cache
from typing import Any, Dict, Optional
from mysql.co... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
43907,
25,
900,
645,
1872,
15582,
28,
29412,
40379,
28,
19,
1509,
28,
19,
25,
198,
2,
198,
2,
15069,
357,
66,
8,
2864,
12,
1238,
2481,
5164,
71,
1380,
321,
198,... | 2.313693 | 2,410 |
from typing import Union
| [
6738,
19720,
1330,
4479,
628
] | 5.2 | 5 |
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
import json
import sys
import requests
from concurrent.futures.thread import ThreadPoolExecutor
from playstore.playstore import Playstore
# Default credentials file location.
credentials_default_location = 'credentials.json'
# Default directory ... | [
11748,
308,
72,
198,
12397,
13,
46115,
62,
9641,
10786,
38,
30488,
3256,
705,
18,
13,
15,
11537,
198,
6738,
308,
72,
13,
260,
1930,
37765,
1330,
402,
30488,
198,
11748,
33918,
198,
11748,
25064,
198,
11748,
7007,
198,
6738,
24580,
13,... | 2.964664 | 283 |
import shodan
import argparse
import os
import sys
import re
import time
from dateutil.parser import parse
from datetime import datetime, timedelta
FINGERPRINT = [
{'name': 'MikroTik', 'filter': 'tcp/2000', 'test': 'contains', 'contains': ['product', 'MikroTik'], 'result': {'type': 'Router', 'device': 'MikroT... | [
11748,
427,
45561,
198,
11748,
1822,
29572,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
302,
198,
11748,
640,
198,
6738,
3128,
22602,
13,
48610,
1330,
21136,
198,
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
628,
198,
37,
... | 2.44431 | 9,095 |
# --------------------------------------------------------------------------------------------- #
#
# This is a script for capturing stereo image pairs at a regular interval. It is intended to be
# used to capture images for stereo camera calibration. The script shows the video stream for the
# specified camera pair in... | [
2,
16529,
1783,
32501,
1303,
198,
2,
198,
2,
770,
318,
257,
4226,
329,
21430,
24820,
2939,
14729,
379,
257,
3218,
16654,
13,
632,
318,
5292,
284,
307,
198,
2,
973,
284,
8006,
4263,
329,
24820,
4676,
36537,
13,
383,
4226,
2523,
262,
... | 2.627148 | 1,164 |
import unittest
from python_module import do_something
if __name__ == '__main__':
unittest.main()
| [
11748,
555,
715,
395,
198,
6738,
21015,
62,
21412,
1330,
466,
62,
18927,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
555,
715,
395,
13,
12417,
3419,
198
] | 2.861111 | 36 |
num_classes = 1
# model settings
model = dict(
type='CascadeRCNN',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='pyt... | [
22510,
62,
37724,
796,
352,
201,
198,
2,
2746,
6460,
201,
198,
19849,
796,
8633,
7,
201,
198,
220,
220,
220,
2099,
11639,
34,
28966,
7397,
6144,
3256,
201,
198,
220,
220,
220,
32774,
28,
11600,
7,
201,
198,
220,
220,
220,
220,
220... | 1.608625 | 7,977 |
from django import forms
| [
6738,
42625,
14208,
1330,
5107,
628
] | 4.333333 | 6 |
import os
import pandas as pd
def read_book(title_path):
"""
read a book and return it as a string
:param title_path: path to book
:return: string with book content
"""
with open(title_path, "r", encoding="utf-8") as current_file:
text = current_file.read()
text = text.replace("... | [
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
4299,
1100,
62,
2070,
7,
7839,
62,
6978,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1100,
257,
1492,
290,
1441,
340,
355,
257,
4731,
198,
220,
220,
220,
1058,
... | 2.556667 | 300 |
#test cases
stk=Stack()
stk.push(1)
stk.push(2)
stk.push(3)
stk.push(4)
stk.pop()
stk.is_empty()
stk.get_stack() | [
201,
198,
2,
9288,
2663,
201,
198,
301,
74,
28,
25896,
3419,
201,
198,
301,
74,
13,
14689,
7,
16,
8,
201,
198,
301,
74,
13,
14689,
7,
17,
8,
201,
198,
301,
74,
13,
14689,
7,
18,
8,
201,
198,
301,
74,
13,
14689,
7,
19,
8,
... | 1.620253 | 79 |
import os
import sys
import numpy as np
from time import sleep
import torch
from test_tube import HyperOptArgumentParser, Experiment, SlurmCluster
from pytorch_lightning.models.trainer import Trainer
from pytorch_lightning.utils.arg_parse import add_default_args
from pytorch_lightning.callbacks import EarlyStopping, ... | [
11748,
28686,
198,
11748,
25064,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
640,
1330,
3993,
198,
11748,
28034,
198,
198,
6738,
1332,
62,
29302,
1330,
15079,
27871,
28100,
1713,
46677,
11,
29544,
11,
3454,
333,
76,
2601,
5819,
198,
... | 2.753355 | 1,565 |
# Copyright (C) 2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
from mmcls.models.builder import CLASSIFIERS
from mmcls.models.classifiers.image import ImageClassifier
@CLASSIFIERS.register_module()
| [
2,
15069,
357,
34,
8,
33160,
8180,
10501,
198,
2,
30628,
55,
12,
34156,
12,
33234,
7483,
25,
24843,
12,
17,
13,
15,
198,
2,
198,
198,
6738,
8085,
565,
82,
13,
27530,
13,
38272,
1330,
42715,
5064,
40,
4877,
198,
6738,
8085,
565,
... | 3.144928 | 69 |
# *****************************************************************************
# Copyright 2004-2008 Steve Menard
#
# 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... | [
2,
41906,
17174,
4557,
35625,
198,
2,
220,
220,
15069,
5472,
12,
11528,
6542,
6065,
446,
198,
2,
198,
2,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
220,
345,
743,
40... | 3.263736 | 546 |
# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import time
import mmcv
import torch
from mmcls.apis import set_random_seed
from mmcls.models import build_classifier
from mmcv import DictAction
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv... | [
2,
15069,
357,
66,
8,
4946,
44,
5805,
397,
13,
1439,
2489,
10395,
13,
198,
11748,
1822,
29572,
198,
11748,
28686,
198,
11748,
28686,
13,
6978,
355,
267,
2777,
198,
11748,
640,
198,
198,
11748,
8085,
33967,
198,
11748,
28034,
198,
6738... | 2.317365 | 334 |
class Node(object):
""" Build nodes to add to dequeue """
_value = None
_next = None
class Dequeue(object):
""" Class to make dequeue with nodes - nodes can be added and removed from both the head and tail of a dequeue"""
head = None
size = 0
tail = None
curr = None
def append(self... | [
4871,
19081,
7,
15252,
2599,
198,
220,
220,
220,
37227,
10934,
13760,
284,
751,
284,
390,
36560,
37227,
198,
220,
220,
220,
4808,
8367,
796,
6045,
198,
220,
220,
220,
4808,
19545,
796,
6045,
198,
198,
4871,
1024,
36560,
7,
15252,
2599... | 2.103361 | 1,190 |
import os
import shutil
from conans import ConanFile, tools
from ghc import GHCBuild
| [
11748,
28686,
198,
11748,
4423,
346,
198,
6738,
369,
504,
1330,
31634,
8979,
11,
4899,
198,
6738,
24997,
66,
1330,
46615,
15580,
198
] | 3.695652 | 23 |
# Generated by wandb/proto/wandb_internal_codegen.py. DO NOT EDIT!
import sys
if sys.version_info >= (3, 8):
from typing import Literal
else:
from typing_extensions import Literal
DEPRECATED_FEATURES = Literal[
"keras_callback__data_type",
"run__mode",
"run__save_no_args",
"run__join",
... | [
2,
2980,
515,
416,
11569,
65,
14,
1676,
1462,
14,
86,
392,
65,
62,
32538,
62,
8189,
5235,
13,
9078,
13,
220,
8410,
5626,
48483,
0,
628,
198,
11748,
25064,
628,
198,
361,
25064,
13,
9641,
62,
10951,
18189,
357,
18,
11,
807,
2599,
... | 2.408163 | 147 |
import random
print("Welcome to guess the number!")
#Infinite loop to keep the game running forever
while True:
print("I am thinking of a number between 1 and 100, try guessing what it is");
#Picks a ranodm number between 1 and 100, it does not include 101
number = random.randrange(1,101)
#... | [
11748,
4738,
201,
198,
201,
198,
4798,
7203,
14618,
284,
4724,
262,
1271,
2474,
8,
201,
198,
201,
198,
2,
18943,
9504,
9052,
284,
1394,
262,
983,
2491,
8097,
201,
198,
4514,
6407,
25,
201,
198,
220,
220,
220,
3601,
7203,
40,
716,
... | 2.638243 | 387 |
import zipfile
from google_drive_downloader import GoogleDriveDownloader as gdd
from tqdm import tqdm
import requests
gdd.download_file_from_google_drive(file_id='1cQEjNIb11eOL4ZPKKvXPvdx9OVL324Zp',
dest_path='./checkpoints.zip')
with zipfile.ZipFile("checkpoints.zip", 'r') a... | [
11748,
19974,
7753,
201,
198,
6738,
23645,
62,
19472,
62,
15002,
263,
1330,
3012,
24825,
10002,
263,
355,
308,
1860,
201,
198,
6738,
256,
80,
36020,
1330,
256,
80,
36020,
201,
198,
11748,
7007,
201,
198,
201,
198,
70,
1860,
13,
15002,... | 2.147059 | 170 |
#! /usr/bin/env python
# https://docs.pwntools.com/en/stable/elf/corefile.html
from pwn import *
target_name = './vuln_cpp.exe'
# Set up pwntools for the correct architecture
exe = context.binary = ELF(target_name)
#print(exe.symbols)
# Generate a cyclic pattern so that we can auto-find the offset
payload = cyclic... | [
2,
0,
1220,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
3740,
1378,
31628,
13,
79,
86,
429,
10141,
13,
785,
14,
268,
14,
31284,
14,
7046,
14,
7295,
7753,
13,
6494,
198,
198,
6738,
279,
675,
1330,
1635,
198,
198,
16793,
62,
3... | 2.789238 | 446 |
"""SVM
An interface for scikit-learn's C-Support Vector Classifier model.
"""
import logging
import numpy as np
import sklearn.svm
from sklearn.multiclass import OneVsRestClassifier
from libact.base.interfaces import ContinuousModel
LOGGER = logging.getLogger(__name__)
class SVM(ContinuousModel):
"""C-Suppo... | [
37811,
50,
15996,
198,
198,
2025,
7071,
329,
629,
1134,
270,
12,
35720,
338,
327,
12,
15514,
20650,
5016,
7483,
2746,
13,
198,
37811,
198,
11748,
18931,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
1341,
35720,
13,
82,
14761,
... | 3.160377 | 212 |
import numpy as np
import tensorflow as tf
import logging
logger = logging.getLogger(__name__)
from .text_util import EOS_ID, UNK_ID
from .graph_util import *
from .util import *
| [
198,
11748,
299,
32152,
355,
45941,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
198,
11748,
18931,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
198,
198,
6738,
764,
5239,
62,
22602,
1330,
412,
2640,
62... | 2.835821 | 67 |
"""
Created on July 13, 2020
Updated on May 18, 2021
model: Deep & Cross Network for Ad Click Predictions
@author: Ziyao Geng(zggzy1996@163.com)
"""
import tensorflow as tf
from tensorflow.keras import Model
from tensorflow.keras.regularizers import l2
from tensorflow.keras.layers import Embedding, Dense, Input
fro... | [
37811,
198,
41972,
319,
2901,
1511,
11,
12131,
198,
17354,
319,
1737,
1248,
11,
33448,
198,
198,
19849,
25,
10766,
1222,
6372,
7311,
329,
1215,
6914,
14322,
9278,
198,
198,
31,
9800,
25,
1168,
21008,
78,
402,
1516,
7,
89,
1130,
7357,
... | 3.141593 | 113 |
# Generated by Django 2.1.2 on 2018-10-02 20:29
from django.db import migrations
| [
2,
2980,
515,
416,
37770,
362,
13,
16,
13,
17,
319,
2864,
12,
940,
12,
2999,
1160,
25,
1959,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
628
] | 2.766667 | 30 |
# -*- coding: utf-8 -*-
# Copyright (c) 2018-2021, earthobservations developers.
# Distributed under the MIT License. See LICENSE for more info.
from datetime import datetime, timedelta
import h5py
import pytest
from wetterdienst.provider.dwd.radar import DwdRadarParameter, DwdRadarValues
from wetterdienst.provider.d... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
15069,
357,
66,
8,
2864,
12,
1238,
2481,
11,
4534,
672,
3168,
602,
6505,
13,
198,
2,
4307,
6169,
739,
262,
17168,
13789,
13,
4091,
38559,
24290,
329,
517,
7508,
1... | 2.322261 | 1,415 |
"""
Groundwork documentation support module.
"""
import logging
from groundwork.patterns.gw_base_pattern import GwBasePattern
class GwDocumentsPattern(GwBasePattern):
"""
Documents can be collected by other Plugins to present their content inside user documentation, online help,
console output or whatev... | [
37811,
198,
35539,
1818,
10314,
1104,
8265,
13,
198,
37811,
198,
198,
11748,
18931,
198,
198,
6738,
40641,
13,
33279,
82,
13,
70,
86,
62,
8692,
62,
33279,
1330,
39661,
14881,
47546,
628,
198,
4871,
39661,
38354,
47546,
7,
38,
86,
1488... | 2.542935 | 2,201 |
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from sklearn.svm import SVR
from sklearn.model_selection import cross_val_score
# For reproducibility
np.random.seed(1000)
nb_samples = 50
if __name__ == '__main__':
# Create dataset
X = np.arange(-nb_samples, nb_sa... | [
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
6738,
1341,
35720,
13,
82,
14761,
1330,
311,
13024,
198,
6738,
1341,
35720,
... | 2.363112 | 347 |
from collections import defaultdict
import numpy as np
from bitarray import bitarray
import re
'''
script which mines frequent one cycles
'''
# F1 is also generally kept and only further iterations have join and prune steps involved
def findOneCyclePatterns(Tslice, minconfidence, periodicityhintarray, period_j):
... | [
6738,
17268,
1330,
4277,
11600,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
1643,
18747,
1330,
1643,
18747,
198,
11748,
302,
198,
198,
7061,
6,
198,
12048,
543,
18446,
10792,
530,
16006,
198,
7061,
6,
198,
198,
2,
376,
16,
318,
635... | 2.720408 | 980 |
#!/bin/usr/env python3
"""
Prints the Potential energy. Defaults to the 'Done' of l502 or l508
"""
import os
import argparse
from pyssian import GaussianOutFile
from pyssianutils.functions import potential_energy, write_2_file
__version__ = '0.0.1'
parser = argparse.ArgumentParser(description=__doc__)
parser.add_a... | [
2,
48443,
8800,
14,
14629,
14,
24330,
21015,
18,
198,
198,
37811,
198,
18557,
82,
262,
32480,
2568,
13,
2896,
13185,
284,
262,
705,
45677,
6,
286,
300,
35126,
393,
300,
33042,
198,
37811,
198,
198,
11748,
28686,
198,
198,
11748,
1822,... | 2.267857 | 1,288 |
#Copyright 2010 Erik Tollerud
#
# 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 i... | [
2,
15269,
3050,
22722,
44786,
263,
463,
198,
2,
198,
2,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
220,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13... | 2.208871 | 7,124 |
# coding:utf-8
# 将图片以小分片的形式裁剪下来
import tkFileDialog
import cv2
from configurationInjection import configInjection
import os
config = configInjection()
config.loadConfiguration()
rois = config.rois[0]
flag = True
videopath = tkFileDialog.askopenfilename(initialdir="/home/zb/myfile/cutSave")
count = 0
cap = cv2.VideoC... | [
2,
19617,
25,
40477,
12,
23,
198,
2,
10263,
108,
228,
32368,
122,
31965,
229,
20015,
98,
22887,
237,
26344,
228,
31965,
229,
21410,
37605,
95,
28156,
237,
32518,
223,
30298,
103,
10310,
233,
30266,
98,
198,
11748,
256,
74,
8979,
44204... | 2.22113 | 407 |
import socket
import fcntl
import struct
from domain.network_interface import NetworkInterface
from provider import Provider
| [
11748,
17802,
198,
11748,
277,
66,
429,
75,
198,
11748,
2878,
198,
198,
6738,
7386,
13,
27349,
62,
39994,
1330,
7311,
39317,
198,
6738,
10131,
1330,
32549,
628
] | 4.535714 | 28 |
#!/usr/bin/env python
# Builds against your current Python version. You must have numpy installed.
from __future__ import print_function
import distutils.sysconfig
import distutils.version
import os
import numpy
import re
import shutil
import subprocess
import sys
import sysconfig
# http://stackoverflow.com/a/149811... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
10934,
82,
1028,
534,
1459,
11361,
2196,
13,
921,
1276,
423,
299,
32152,
6589,
13,
198,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
11748,
1233,
26791,
13,
17597,
... | 3.290909 | 110 |
from collections import (
Counter,
)
from datetime import (
datetime,
timezone,
)
import doctest
from itertools import chain
import json
import logging
import os
import re
from unittest import (
TestCase,
skip,
)
from unittest.mock import Mock
from uuid import UUID
import warnings
from atomicwrites... | [
6738,
17268,
1330,
357,
198,
220,
220,
220,
15034,
11,
198,
8,
198,
6738,
4818,
8079,
1330,
357,
198,
220,
220,
220,
4818,
8079,
11,
198,
220,
220,
220,
640,
11340,
11,
198,
8,
198,
11748,
10412,
395,
198,
6738,
340,
861,
10141,
1... | 2.819549 | 399 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 29 00:14:44 2019
@author: jay
This code demostrates the current filter optimization by GA
Apr29 00:14
As of this writing, the GA code is running correctly but it isn't evolving as expected.
We will try to change the fitness function
Apr29 14:47
A... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
2892,
2758,
2808,
3571,
25,
1415,
25,
2598,
13130,
198,
198,
31,
9800,
25,
474,
323,
198,... | 2.080782 | 1,176 |
# encoding: utf-8
"""
Copyright 2018 (c) Germán Arroyo
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, p... | [
2,
21004,
25,
3384,
69,
12,
23,
198,
198,
37811,
198,
198,
15269,
2864,
357,
66,
8,
14164,
21162,
943,
3287,
78,
198,
198,
5990,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
286,
428,
3788,
29... | 2.755782 | 1,081 |
# Copyright 2016 Dave Kludt
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | [
2,
15069,
1584,
9935,
14770,
463,
83,
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,
198,
2,
921,
... | 3.223325 | 403 |
# Copyright (c) 2021 Works Applications 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 a... | [
2,
15069,
357,
66,
8,
33448,
10933,
26622,
1766,
1539,
12052,
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,
2... | 2.816648 | 889 |
abcd = Solution()
print abcd.removeDuplicates([1,1,2])
| [
198,
397,
10210,
796,
28186,
3419,
198,
4798,
450,
10210,
13,
28956,
35660,
489,
16856,
26933,
16,
11,
16,
11,
17,
12962,
198
] | 2.434783 | 23 |
from spaceone.core.manager import BaseManager
from spaceone.inventory.libs.connector import OCIConnector
from spaceone.inventory.libs.schema.region import RegionResource, RegionResponse
REGION_INFO = {
# TODO
# SAMPLE
# 'eastus': {'name': 'US East (Virginia)', 'tags': {'latitude': '37.3719', 'longitude':... | [
6738,
2272,
505,
13,
7295,
13,
37153,
1330,
7308,
13511,
198,
6738,
2272,
505,
13,
24807,
13,
8019,
82,
13,
8443,
273,
1330,
24775,
2149,
261,
1606,
273,
198,
6738,
2272,
505,
13,
24807,
13,
8019,
82,
13,
15952,
2611,
13,
36996,
133... | 2.770492 | 122 |
# Copyright 2021 VMware, Inc.
# All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | [
2,
15069,
33448,
37754,
11,
3457,
13,
198,
2,
1439,
6923,
33876,
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,
... | 3.107362 | 326 |
import logging
import pyarrow
import ray
from collections import defaultdict
import deltacat.compute.stats.utils.stats_completion_file as scf
from deltacat.compute.stats.models.delta_stats_cache_result import DeltaStatsCacheResult
from deltacat.compute.stats.models.manifest_entry_stats import ManifestEntryStats
from ... | [
11748,
18931,
198,
198,
11748,
12972,
6018,
198,
11748,
26842,
198,
6738,
17268,
1330,
4277,
11600,
198,
198,
11748,
1619,
83,
330,
265,
13,
5589,
1133,
13,
34242,
13,
26791,
13,
34242,
62,
785,
24547,
62,
7753,
355,
629,
69,
198,
673... | 2.714531 | 1,163 |
'''
Created on September 15, 2016
@author: compsecmonkey
'''
import logging
from configparser import ConfigParser
from flask import Flask, jsonify
from werkzeug.exceptions import HTTPException, default_exceptions
from core.logs import prepare_logger
from api.responses import prepare_200
app = None
def make_json_... | [
7061,
6,
198,
41972,
319,
2693,
1315,
11,
1584,
198,
198,
31,
9800,
25,
552,
2363,
49572,
198,
7061,
6,
198,
11748,
18931,
198,
6738,
4566,
48610,
1330,
17056,
46677,
198,
198,
6738,
42903,
1330,
46947,
11,
33918,
1958,
198,
6738,
266... | 2.865248 | 423 |
# from linked_list.linked_list import LinkedList
# def includes(self, value):
# is_last = False
# current = self.head
# print(current)
# while not is_last:
# if str(current) == str(value):
# return True
# if current.next == None:
# ... | [
2,
422,
6692,
62,
4868,
13,
25614,
62,
4868,
1330,
7502,
276,
8053,
628,
198,
220,
220,
220,
1303,
825,
3407,
7,
944,
11,
1988,
2599,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
318,
62,
12957,
796,
10352,
198,
220,
220,
220,
... | 2.033333 | 300 |
#!/usr/bin/env python
"""
This module provides DatasetParent.ListChild data access object.
"""
from WMCore.Database.DBFormatter import DBFormatter
class ListChild(DBFormatter):
"""
DatasetParent ListChild DAO class.
"""
def __init__(self, logger, dbi, owner=""):
"""
Add schema owner and... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
198,
1212,
8265,
3769,
16092,
292,
316,
24546,
13,
8053,
16424,
1366,
1895,
2134,
13,
198,
37811,
198,
6738,
370,
9655,
382,
13,
38105,
13,
11012,
8479,
1436,
1330,
20137,
8479,
... | 2.305296 | 642 |
import requests
import os
import socket
import shutil
| [
11748,
7007,
198,
11748,
28686,
198,
11748,
17802,
198,
11748,
4423,
346,
628,
628
] | 4.071429 | 14 |
import autobasedoc.autorpt as ar
import copy
class Header(ar.StyledTable):
"""
data object to store all data of header of one page
"""
def __init__(self, title=None, headerMarginTop=0.5, debug=False):
"""
"""
super(Header, self).__init__()
self.headerMarginTop = head... | [
198,
11748,
1960,
672,
839,
420,
13,
2306,
273,
457,
355,
610,
198,
11748,
4866,
628,
198,
4871,
48900,
7,
283,
13,
18716,
992,
10962,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1366,
2134,
284,
3650,
477,
1366,
286,
13639... | 1.897785 | 2,348 |
from django.template import Library, TemplateSyntaxError, Node
from ecs.scratchpad.models import ScratchPad
register = Library()
@register.tag
| [
6738,
42625,
14208,
13,
28243,
1330,
10074,
11,
37350,
13940,
41641,
12331,
11,
19081,
198,
198,
6738,
304,
6359,
13,
1416,
36722,
15636,
13,
27530,
1330,
1446,
36722,
26114,
198,
198,
30238,
796,
10074,
3419,
198,
198,
31,
30238,
13,
1... | 3.47619 | 42 |
import unittest
from TPool import Pool
from threading import Lock
pairs = []
try:
pyrange = xrange
except:
pyrange = range
if __name__ == '__main__':
unittest.main() | [
11748,
555,
715,
395,
198,
198,
6738,
24525,
970,
1330,
19850,
198,
6738,
4704,
278,
1330,
13656,
198,
198,
79,
3468,
796,
17635,
198,
198,
28311,
25,
198,
220,
220,
220,
279,
2417,
858,
796,
2124,
9521,
198,
16341,
25,
198,
220,
22... | 2.555556 | 72 |
import sim, os, collections
# On-line collection of bottle graphs [Du Bois, OOSPLA 2013]
# See tools/bottlegraph.py for a version that works on off-line data
sim.util.register(BottleGraph())
| [
11748,
985,
11,
28686,
11,
17268,
198,
198,
2,
1550,
12,
1370,
4947,
286,
9294,
28770,
685,
35660,
3248,
271,
11,
440,
2640,
45710,
2211,
60,
198,
2,
4091,
4899,
14,
10985,
16606,
13,
9078,
329,
257,
2196,
326,
2499,
319,
572,
12,
... | 3.344828 | 58 |
from cirq import num_qubits
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import torch
from torch import nn
from qtensor_ai.ParallelQTensor import (InnerProductCircuitComposer,
ParallelQtreeSimulator,
... | [
6738,
10774,
80,
1330,
997,
62,
421,
9895,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
28034,
13,
20471,
13,
45124,
355,
376,
198,
198,
6738,
28034,
13,
2306,
519,
6335,
1330,
35748,
198,
198,
11748,
280... | 2.406557 | 305 |
import time #Ne lisez pas. Utilité = 0
print("Coucou les lycéens ! Alors c'est comment ?")
time.sleep(5) #Oui, cela ne sers à rien ce truc.
print("On essaye de tricher en SNT ? \n Oui je parle à vous les \nS \nE \nC \nO \nN \nD \nE \nS")
time.sleep(3) #Concentre toi sur ton cours que plus tôt de chercher la solution à ... | [
11748,
640,
1303,
8199,
300,
786,
89,
38836,
13,
7273,
6392,
2634,
796,
657,
198,
4798,
7203,
34,
280,
66,
280,
10287,
22404,
32682,
641,
5145,
978,
669,
269,
6,
395,
2912,
220,
1701,
8,
198,
2435,
13,
42832,
7,
20,
8,
1303,
46,
... | 2.370166 | 181 |
"""
Copyright 2013 Steven Diamond
This file is part of CVXPY.
CVXPY is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
CVXPY is distributed i... | [
37811,
198,
15269,
2211,
8239,
13566,
198,
198,
1212,
2393,
318,
636,
286,
26196,
27481,
56,
13,
198,
198,
33538,
27481,
56,
318,
1479,
3788,
25,
345,
460,
17678,
4163,
340,
290,
14,
273,
13096,
198,
270,
739,
262,
2846,
286,
262,
2... | 2.546448 | 1,098 |
# ------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------... | [
2,
220,
16529,
22369,
438,
198,
2,
220,
15069,
357,
66,
8,
5413,
10501,
13,
1439,
2489,
10395,
13,
198,
2,
220,
49962,
739,
262,
17168,
13789,
357,
36393,
737,
4091,
38559,
24290,
287,
262,
29924,
6808,
329,
5964,
1321,
13,
198,
2,
... | 2.592892 | 619 |
from datetime import datetime
from sqlalchemy.orm import sessionmaker, Session
from app.contact import engine
from app.models import Products
if __name__ == '__main__':
Session: sessionmaker = sessionmaker(bind=engine)
session: Session = Session()
product: list = fetch_by_current_date(connection=sess... | [
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
6738,
44161,
282,
26599,
13,
579,
1330,
6246,
10297,
11,
23575,
198,
198,
6738,
598,
13,
32057,
1330,
3113,
198,
6738,
598,
13,
27530,
1330,
18675,
628,
628,
198,
361,
11593,
3672,
834,
66... | 2.926829 | 164 |
from django.conf import settings
from django.db import models
| [
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
628
] | 3.9375 | 16 |
import re
import pickle
import numpy as np
with open("shared/cited_100.pickle", "rb") as f:
data = pickle.load(f)
c=0
all_topics = {}
for i, l in enumerate(data["topic_lists"]):
abstract = data["abstracts"][i]
abstract = re.sub(r'\s+', ' ', abstract)
if abstract.find("$")!=-1:
print("\n"*2)
... | [
11748,
302,
198,
11748,
2298,
293,
198,
11748,
299,
32152,
355,
45941,
198,
4480,
1280,
7203,
28710,
14,
66,
863,
62,
3064,
13,
27729,
293,
1600,
366,
26145,
4943,
355,
277,
25,
198,
220,
220,
220,
1366,
796,
2298,
293,
13,
2220,
7,... | 1.920988 | 405 |
"""
plot countour
"""
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from numpy.core.shape_base import block
import pandas as pd
plt.rcParams["font.family"] = "Times New Roman"
data_1 = pd.read_csv("DemandData_50_005.txt")
data_2 = pd.read_csv("DemandData_50_010.txt")
x1 = np.unique... | [
37811,
198,
220,
220,
220,
7110,
954,
454,
198,
37811,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
11215,
355,
12067,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
6738,
299,
32152,
13,
... | 2.054025 | 944 |
# push deer implementation
# see https://github.com/easychen/pushdeer
import requests
from typing import Dict, Any
| [
2,
4574,
20096,
7822,
198,
2,
766,
3740,
1378,
12567,
13,
785,
14,
38171,
6607,
14,
14689,
2934,
263,
198,
198,
11748,
7007,
198,
6738,
19720,
1330,
360,
713,
11,
4377,
628
] | 3.65625 | 32 |
from .dividend_yield_downloaders import *
| [
6738,
764,
67,
1699,
437,
62,
88,
1164,
62,
15002,
364,
1330,
1635,
198
] | 3 | 14 |
from sqlalchemy import Table, Column, Integer, String, BigInteger, Boolean, ForeignKey, ForeignKeyConstraint, Numeric
from cassiopeia_sqlstore.common import metadata, SQLBaseObject, map_object
map_object(SQLParticipantAdditional) | [
6738,
44161,
282,
26599,
1330,
8655,
11,
29201,
11,
34142,
11,
10903,
11,
4403,
46541,
11,
41146,
11,
8708,
9218,
11,
8708,
9218,
3103,
2536,
2913,
11,
399,
39223,
198,
198,
6738,
30606,
72,
3008,
544,
62,
25410,
8095,
13,
11321,
1330... | 3.725806 | 62 |
from abc import ABC, abstractmethod
from Bio import SeqIO
import pandas as pd
from .message import Message
from fireworks.utils import index_to_list
from fireworks.utils.exceptions import ParameterizationError
from .component_map import Component_Map, PyTorch_Component_Map
from .cache import LRUCache, LFUCache, Unlimit... | [
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
6738,
16024,
1330,
1001,
80,
9399,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
764,
20500,
1330,
16000,
198,
6738,
26056,
13,
26791,
1330,
6376,
62,
1462,
62,
4868,
198,
6738,
260... | 3.300146 | 683 |
#!/usr/bin/env python
from math import floor
# Parent: floor(k / 2)
# Children: (2k, 2k + 1)
if __name__ == '__main__':
a = Heap()
a.insert(5)
a.insert(6)
a.insert(1)
a.insert(4)
a.insert(2)
a.insert(3)
print(a)
a._print()
print(a.remove_max())
print(a)
a._pr... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
6738,
10688,
1330,
4314,
628,
198,
220,
220,
220,
1303,
16774,
25,
4314,
7,
74,
1220,
362,
8,
198,
220,
220,
220,
1303,
8990,
25,
357,
17,
74,
11,
362,
74,
1343,
352,
8,
628... | 1.917647 | 170 |
player1 = []
player2 = []
with open("poker.txt") as hands:
for i in hands:
player1.append(i.split()[0:5])
player2.append(i.split()[5:10])
conversion = {"A": 14,
"J": 11,
"Q": 12,
"K": 13,
"T": 10}
results = {1: "High card",
... | [
7829,
16,
796,
17635,
201,
198,
7829,
17,
796,
17635,
201,
198,
201,
198,
4480,
1280,
7203,
79,
11020,
13,
14116,
4943,
355,
2832,
25,
201,
198,
220,
220,
220,
329,
1312,
287,
2832,
25,
201,
198,
220,
220,
220,
220,
220,
220,
220,... | 1.796552 | 580 |
import unittest
import os
from somef.cli import *
test_data_path = "test_data/"
# This repo does no longer have a file with ACK.
# def test_issue_166(self):
# header = {}
# header['accept'] = 'application/vnd.github.v3+json'
# text, github_data = load_repository_metadata("https://git... | [
11748,
555,
715,
395,
198,
198,
11748,
28686,
198,
6738,
617,
69,
13,
44506,
1330,
1635,
198,
198,
9288,
62,
7890,
62,
6978,
796,
366,
9288,
62,
7890,
30487,
628,
198,
220,
220,
220,
1303,
770,
29924,
857,
645,
2392,
423,
257,
2393,... | 2.303723 | 1,182 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# C++ version Copyright (c) 2006-2007 Erin Catto http://www.box2d.org
# Python version by Ken Lauer / sirkne at gmail dot com
#
# This software is provided 'as-is', without any express or implied
# warranty. In no event will the authors be held liable for any dam... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
201,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
2,
201,
198,
2,
327,
4880,
2196,
15069,
357,
66,
8,
4793,
12,
12726,
28894,
327,
45807,
2638,
1378,
2503,
... | 2.201881 | 1,382 |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
from base import BaseObject
class InferenceAPI(BaseObject):
""" Inference API """
def __init__(self,
is_debug: bool = False):
"""
Created:
6-Nov-2019
craig.trim@ibm.com
* https://github.ibm.... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
41002,
12,
23,
532,
9,
12,
628,
198,
6738,
2779,
1330,
7308,
10267,
628,
198,
4871,
554,
4288,
17614,
7,
14881,
10267,
2599,
198,
220,
220,
220,
37227,
55... | 1.987013 | 231 |
import os
from os import walk
from typing import Dict
from PIL import Image, ImageDraw, ImageFilter, ImageFont
import numpy as np
import config
def get_relative_positions(image, positions):
"""
Get the relative value of the positions when
max image width and height equal 1.
"""
img_... | [
11748,
28686,
198,
6738,
28686,
1330,
2513,
198,
6738,
19720,
1330,
360,
713,
198,
198,
6738,
350,
4146,
1330,
7412,
11,
7412,
25302,
11,
7412,
22417,
11,
7412,
23252,
198,
11748,
299,
32152,
355,
45941,
198,
198,
11748,
4566,
628,
628,... | 2.77027 | 222 |