content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
"""
Weather functions.
"""
from ursina import color, window, time
from nMap import nMap
| [
37811,
198,
41865,
5499,
13,
198,
37811,
198,
6738,
220,
1834,
1437,
1330,
3124,
11,
4324,
11,
640,
198,
6738,
299,
13912,
1330,
299,
13912,
198
] | 3.384615 | 26 |
#!/usr/bin/env python3
'''
Copyright 2016 Dave Fancella
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 applicab... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
7061,
6,
628,
220,
220,
15069,
1584,
9935,
376,
590,
8466,
628,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
220,
220,... | 3.458466 | 626 |
# Generated by Django 2.2.7 on 2019-11-17 17:19
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
362,
13,
17,
13,
22,
319,
13130,
12,
1157,
12,
1558,
1596,
25,
1129,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
base = int(input('Digite o valor da base: '))
expoente = 0
while expoente <= 0:
expoente = int(input('Digite o valor do expoente: '))
if expoente <= 0:
print('O expoente tem que ser positivo')
potencia = 1
for c in range(1, expoente + 1):
potencia *= base
print(f'{base}^ {expoente} = {potencia}'... | [
8692,
796,
493,
7,
15414,
10786,
19511,
578,
267,
1188,
273,
12379,
2779,
25,
705,
4008,
198,
1069,
7501,
21872,
796,
657,
198,
198,
4514,
1033,
78,
21872,
19841,
657,
25,
198,
220,
220,
220,
1033,
78,
21872,
796,
493,
7,
15414,
107... | 2.333333 | 138 |
# -*- coding: utf-8 -*-
# Copyright (c) 2021, Noah Jacob and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from frappe.utils import flt
from accounting.accounting.general_ledger import make_gl_entry, make_... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
15069,
357,
66,
8,
33448,
11,
18394,
12806,
290,
20420,
198,
2,
1114,
5964,
1321,
11,
3387,
766,
5964,
13,
14116,
198,
198,
6738,
11593,
37443,
834,
1330,
28000,
10... | 3.424242 | 99 |
from django.db import models
# Create your models here.
# :
# 2 ok
# link, string-> CharField, data-> DecimalField
# max_length= 100
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
198,
2,
13610,
534,
4981,
994,
13,
198,
2,
220,
1058,
220,
198,
2,
220,
362,
220,
220,
220,
12876,
198,
2,
2792,
11,
4731,
3784,
3178,
15878,
11,
1366,
3784,
4280,
4402,
15878,
198,
2... | 2.730769 | 52 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys,os,time
if len(sys.argv)<2:
print "usage: test_snap.py <check|show>"
sys.exit(2)
kam_cmd=sys.argv[1]
path='/var/data2/snap_store'
a=os.listdir(path)
a.remove('535e1a5c1ecffb2fa372fd7d') # this is a camera not used in HF system
if kam_cmd=='show' or kam_cm... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
25064,
11,
418,
11,
2435,
198,
198,
361,
18896,
7,
17597,
13,
853,
85,
8,
27,
17,
25,
198,
197,
4798,
... | 1.905013 | 379 |
import functools
import gc
from abc import ABC
from sources.datasets.client_dataset_definitions.client_dataset_loaders.client_dataset_loader import ClientDatasetLoader, DatasetComponents
from sources.datasets.client_dataset_definitions.client_dataset_processors.client_dataset_processor import ClientDatasetProcessor
fr... | [
11748,
1257,
310,
10141,
198,
11748,
308,
66,
198,
6738,
450,
66,
1330,
9738,
198,
198,
6738,
4237,
13,
19608,
292,
1039,
13,
16366,
62,
19608,
292,
316,
62,
4299,
50101,
13,
16366,
62,
19608,
292,
316,
62,
2220,
364,
13,
16366,
62,... | 3.305085 | 118 |
import logging
import numpy
import kgprim.motions as motions
import kgprim.ct.frommotions as frommotions
import kgprim.ct.repr.mxrepr as mxrepr
import motiondsl.motiondsl as motdsl
logger = logging.getLogger(__name__)
| [
11748,
18931,
198,
11748,
299,
32152,
198,
198,
11748,
14211,
19795,
13,
27926,
507,
355,
25530,
198,
11748,
14211,
19795,
13,
310,
13,
6738,
27926,
507,
355,
422,
27926,
507,
198,
11748,
14211,
19795,
13,
310,
13,
260,
1050,
13,
36802,... | 2.835443 | 79 |
# Copyright (c) 2015 Ansible, Inc.
# All Rights Reserved.
import os
import logging
from multiprocessing import Process
from django.conf import settings
from django.core.cache import cache as django_cache
from django.core.management.base import BaseCommand
from django.db import connection as django_connection
from komb... | [
2,
15069,
357,
66,
8,
1853,
28038,
856,
11,
3457,
13,
198,
2,
1439,
6923,
33876,
13,
198,
11748,
28686,
198,
11748,
18931,
198,
6738,
18540,
305,
919,
278,
1330,
10854,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
... | 3.404372 | 183 |
import numpy as np
import torch
from . import common_utils
if __name__ == '__main__':
pass
| [
11748,
299,
32152,
355,
45941,
198,
11748,
28034,
198,
6738,
764,
1330,
2219,
62,
26791,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1208,
198
] | 2.882353 | 34 |
""" Utilities for learning pipeline."""
from __future__ import print_function
import copy
import dill
import hashlib
import itertools
import third_party.deep_bingham.bingham_distribution as ms
import math
import numpy as np
import os
import scipy
import scipy.integrate as integrate
import scipy.special
import sys
impor... | [
37811,
41086,
329,
4673,
11523,
526,
15931,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
11748,
4866,
198,
11748,
288,
359,
198,
11748,
12234,
8019,
198,
11748,
340,
861,
10141,
198,
11748,
2368,
62,
10608,
13,
22089,
62,
46... | 2.432288 | 3,921 |
import requests
import os
from PyInquirer import style_from_dict, Token, prompt
import sys
import utils.config as config
import utils.ends as ends
from utils.colorfy import *
from auto.testing import test_trans
import time
import json
style = style_from_dict({
Token.QuestionMark: '#E91E63 bold',
Token.Selected: '#673... | [
11748,
7007,
198,
11748,
28686,
198,
6738,
9485,
818,
29782,
81,
1330,
3918,
62,
6738,
62,
11600,
11,
29130,
11,
6152,
198,
11748,
25064,
198,
11748,
3384,
4487,
13,
11250,
355,
4566,
198,
11748,
3384,
4487,
13,
2412,
355,
5645,
198,
... | 2.534426 | 305 |
# -*- coding: utf-8 -*-
from maya import mel
from maya import cmds
from . import lang
from . import common
import os
import json
import re
def transfer_weight(skinMesh, transferedMesh, transferWeight=True, returnInfluences=False, logTransfer=True):
'''
skinMesh1,
transferedMesh(,)
transf... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
743,
64,
1330,
7758,
198,
6738,
743,
64,
1330,
23991,
82,
198,
6738,
764,
1330,
42392,
198,
6738,
764,
1330,
2219,
198,
11748,
28686,
198,
11748,
33918,
198,
11748... | 1.896642 | 3,425 |
#Copyright 2010 Brian E. Chapman
#
#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,
15269,
3050,
8403,
412,
13,
29045,
198,
2,
198,
2,
26656,
15385,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
5832,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
... | 3.901734 | 346 |
"""
Provides a class that handles the fits metadata required by PypeIt.
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
import os
import io
import string
from copy import deepcopy
import datetime
from IPython import embed
import numpy as np
import yaml
fr... | [
37811,
198,
15946,
1460,
257,
1398,
326,
17105,
262,
11414,
20150,
2672,
416,
350,
2981,
1026,
13,
198,
198,
492,
2291,
2219,
6117,
11,
13148,
4165,
2205,
6808,
318,
510,
530,
8619,
198,
492,
2291,
3712,
11485,
14,
17256,
14,
28751,
1... | 2.643817 | 744 |
import os.path
import shutil
import errno
from aql.nodes import Builder, FileBuilder
from .aql_tools import Tool
__all__ = ( "ExecuteCommand",
"InstallBuilder",
"BuiltinTool",
)
"""
Unique Value - name + type
value
node
node = ExecuteCommand('gcc --help -v')
tools.cpp.cxx
node ... | [
198,
11748,
28686,
13,
6978,
198,
11748,
4423,
346,
198,
11748,
11454,
3919,
198,
198,
6738,
257,
13976,
13,
77,
4147,
1330,
35869,
11,
9220,
32875,
198,
6738,
764,
64,
13976,
62,
31391,
1330,
16984,
198,
198,
834,
439,
834,
796,
357,... | 3.233677 | 291 |
from django.core.urlresolvers import reverse
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from cms.models.fields import PlaceholderField
from cms.utils import get_language_from_request
from cms.utils.urlutils import admin_reverse
from hvad.models import TranslatableModel,... | [
6738,
42625,
14208,
13,
7295,
13,
6371,
411,
349,
690,
1330,
9575,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
26791,
13,
12685,
7656,
1330,
21015,
62,
17,
62,
46903,
1098,
62,
38532,
198,
198,
6738,
26... | 3.484848 | 99 |
# 084
# Ask the user to type in their postcode.Display the first two
# letters in uppercase.
# very simple
print(input('Enter your postcode: ')[0:2].upper()) | [
2,
657,
5705,
198,
2,
16981,
262,
2836,
284,
2099,
287,
511,
1281,
8189,
13,
23114,
262,
717,
734,
198,
2,
7475,
287,
334,
39921,
589,
13,
198,
198,
2,
845,
2829,
198,
198,
4798,
7,
15414,
10786,
17469,
534,
1281,
8189,
25,
705,
... | 3.117647 | 51 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import sys
import json
import urllib2
import codecs
BASE_DIR = os.path.dirname(__file__)
BASE_URL = 'https://www.googleapis.com/youtube/v3/'
API_CHANNELS = 'channels'
API_PLAYLIST = 'playlistItems'
API_KEY = 'YOUR KEY'
CHANNELS = [
'videos... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
33918,
198,
11748,
2956,
297,
571,
17,
198,
11748,
40481... | 2.150649 | 385 |
#!/usr/bin/env python3
from sklearn.tree import DecisionTreeClassifier
import pickle
import numpy as np
no = [b'runc:[2:INIT]', b'containerssh-ag', b'apt',b'dpkg']
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
6738,
1341,
35720,
13,
21048,
1330,
26423,
27660,
9487,
7483,
198,
11748,
2298,
293,
198,
11748,
299,
32152,
355,
45941,
198,
198,
3919,
796,
685,
65,
6,
5143,
66,
33250,
17,
... | 2.584615 | 65 |
import os
import numpy as np
from scipy.io import loadmat
data = loadmat("data/hipp_2dtrack_a/smJun03p2.dat")
N = 49
data = reshape(data, 3, length(data)/3);
data = data';
size(data) % 43799-by-3
fclose(fid);
% sampling time
Ts = 0.0333;
duration = size(data,1) * Ts; % in second
Tmax = data(end, 3);
Tmin = d... | [
11748,
28686,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
629,
541,
88,
13,
952,
1330,
3440,
6759,
198,
198,
7890,
796,
3440,
6759,
7203,
7890,
14,
71,
3974,
62,
17,
67,
11659,
62,
64,
14,
5796,
22396,
3070,
79,
17,
13,
19608,
... | 2.324515 | 567 |
# Copyright 2017 Netflix, Inc.
#
# 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... | [
2,
220,
220,
220,
220,
15069,
2177,
12074,
11,
3457,
13,
198,
2,
198,
2,
220,
220,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
220,
220,
220,
345,
743,
407,
779,
42... | 2.633157 | 567 |
import rospy
from sensor_msgs.msg import Image
from std_msgs.msg import String
from cv_bridge import CvBridge
import cv2
import numpy as np
import tensorflow as tf
import classify_image
if __name__ == '__main__':
classify_image.setup_args()
rospy.init_node('rostensorflow')
tensor = RosTensorFlow()
ten... | [
11748,
686,
2777,
88,
198,
6738,
12694,
62,
907,
14542,
13,
19662,
1330,
7412,
198,
6738,
14367,
62,
907,
14542,
13,
19662,
1330,
10903,
198,
6738,
269,
85,
62,
9458,
1330,
327,
85,
37385,
198,
11748,
269,
85,
17,
198,
11748,
299,
3... | 2.781513 | 119 |
# Copyright (C) 2020-2021 by TeamSpeedo@Github, < https://github.com/TeamSpeedo >.
#
# This file is part of < https://github.com/TeamSpeedo/FridayUserBot > project,
# and is released under the "GNU v3.0 License Agreement".
# Please see < https://github.com/TeamSpeedo/blob/master/LICENSE >
#
# All rights reserved.
imp... | [
2,
15069,
357,
34,
8,
12131,
12,
1238,
2481,
416,
4816,
22785,
78,
31,
38,
10060,
11,
1279,
3740,
1378,
12567,
13,
785,
14,
15592,
22785,
78,
1875,
13,
198,
2,
198,
2,
770,
2393,
318,
636,
286,
1279,
3740,
1378,
12567,
13,
785,
... | 2.742574 | 303 |
"""
FEEDS
Handles YouTube and Twitch feed notifications.
"""
import datetime as dt
import discord
import feedparser
from apscheduler.triggers.cron import CronTrigger
from discord.ext import commands
from carberretta import Config
from carberretta.utils import DEFAULT_EMBED_COLOUR, chron
LIVE_EMBED_COLOUR = 0x9146FF... | [
37811,
198,
15112,
1961,
50,
198,
12885,
829,
7444,
290,
23835,
3745,
19605,
13,
198,
37811,
198,
198,
11748,
4818,
8079,
355,
288,
83,
198,
198,
11748,
36446,
198,
11748,
3745,
48610,
198,
6738,
257,
862,
1740,
18173,
13,
2213,
328,
... | 2.94958 | 119 |
"""Provides a GDB logging proxy.
See https://sourceware.org/gdb/onlinedocs/gdb/Remote-Protocol.html
See https://www.embecosm.com/appnotes/ean4/embecosm-howto-rsp-server-ean4-issue-2.html
"""
from __future__ import annotations
import logging
import socket
from typing import Optional
from typing import Tuple
from .pa... | [
37811,
15946,
1460,
257,
402,
11012,
18931,
15741,
13,
198,
198,
6214,
3740,
1378,
10459,
1574,
13,
2398,
14,
70,
9945,
14,
261,
10837,
420,
82,
14,
70,
9945,
14,
36510,
12,
19703,
4668,
13,
6494,
198,
6214,
3740,
1378,
2503,
13,
36... | 2.94964 | 139 |
from openems.openems import *
# A simple simulation
#
# FDTD Simulation Setting
#
F = FDTD()
F.add(Exc(typ='Sinus',f0=100000))
F.add(BoundaryCond(['PMC','PMC','PEC','PEC','MUR','MUR']))
#
# CSX (Geometry setting)
#
C = CSX()
# The Box is added as a property
C.add(Excitation('excitation'),p=Box(P1=[-10,-10,0],P2=... | [
6738,
1280,
5232,
13,
9654,
5232,
1330,
1635,
198,
2,
317,
2829,
18640,
198,
198,
2,
198,
2,
30002,
21016,
41798,
25700,
198,
2,
198,
198,
37,
796,
30002,
21016,
3419,
198,
37,
13,
2860,
7,
40127,
7,
28004,
11639,
50,
35237,
3256,
... | 1.93653 | 709 |
import numpy as np | [
11748,
299,
32152,
355,
45941
] | 3.6 | 5 |
import mysql.connector
import random
from voice import synthetize_voice, delete_wav
if (__name__ == '__main__'):
result = questionAI(1)
tell_question(result)
| [
11748,
48761,
13,
8443,
273,
198,
11748,
4738,
198,
6738,
3809,
1330,
7419,
3202,
1096,
62,
38888,
11,
12233,
62,
45137,
628,
628,
198,
361,
357,
834,
3672,
834,
6624,
705,
834,
12417,
834,
6,
2599,
628,
220,
220,
1255,
796,
1808,
2... | 3.017857 | 56 |
import numpy
| [
11748,
299,
32152,
198,
220,
220,
220,
220,
198
] | 2 | 9 |
import re
import json
import base64
import codecs
import os.path
import asyncio
import subprocess
_PREFIX = 'docker-credential-'
| [
11748,
302,
198,
11748,
33918,
198,
11748,
2779,
2414,
198,
11748,
40481,
82,
198,
11748,
28686,
13,
6978,
198,
11748,
30351,
952,
198,
11748,
850,
14681,
628,
198,
62,
47,
31688,
10426,
796,
705,
45986,
12,
66,
445,
1843,
19355,
628,
... | 3.113636 | 44 |
"""
Transform the data into a form that
works with the WELL_REGISTRY_STG table.
"""
import re
WELL_TYPES = {
'surveillance': 1,
'trend': 2,
'special': 3,
}
map_well_type = mapping_factory(WELL_TYPES)
WELL_PURPOSE = {
'dedicated monitoring/observation': 1,
'other': 2
}
map_well_purpose = mapping_... | [
37811,
198,
41762,
262,
1366,
656,
257,
1296,
326,
198,
5225,
351,
262,
12887,
3069,
62,
31553,
1797,
40405,
62,
2257,
38,
3084,
13,
198,
37811,
198,
11748,
302,
628,
198,
198,
8845,
3069,
62,
9936,
47,
1546,
796,
1391,
198,
220,
22... | 2.287494 | 2,007 |
# Created by shamilsakib at 04/10/20
BASE_MODEL = None | [
2,
15622,
416,
23565,
4487,
461,
571,
379,
8702,
14,
940,
14,
1238,
198,
198,
33,
11159,
62,
33365,
3698,
796,
6045
] | 2.5 | 22 |
__author__ = "Zafar Ahmad, Mohammad Mahdi Javanmard"
__copyright__ = "Copyright (c) 2019 Tealab@SBU"
__license__ = "MIT"
__version__ = "1.0.0"
__maintainer__ = "Zafar Ahmad"
__email__ = "zafahmad@cs.stonybrook.edu"
__status__ = "Development"
import numpy as np
import numba as nb
'''
Iterative kernels
'''
| [
834,
9800,
834,
796,
366,
57,
1878,
283,
24152,
11,
29674,
8882,
10989,
449,
12421,
76,
446,
1,
198,
834,
22163,
4766,
834,
796,
366,
15269,
357,
66,
8,
13130,
1665,
282,
397,
31,
16811,
52,
1,
198,
834,
43085,
834,
796,
366,
3639... | 2.484127 | 126 |
from terra_sdk.exceptions import LCDResponseError
from terrakg import logger
# Logging
from terrakg.client import ClientContainer
logger = logger.get_logger(__name__)
| [
6738,
1059,
430,
62,
21282,
74,
13,
1069,
11755,
1330,
23598,
31077,
12331,
198,
198,
6738,
1059,
430,
10025,
1330,
49706,
198,
198,
2,
5972,
2667,
198,
6738,
1059,
430,
10025,
13,
16366,
1330,
20985,
29869,
198,
198,
6404,
1362,
796,
... | 3.226415 | 53 |
import bpy
import os, glob
from pathlib import Path
from enum import Enum
from abc import ABC, abstractmethod
import csv
from . import keying_module
#----------------------------------------
# PROPERTIES
#----------------------------------------
classes = (
TrackingExportDataOp,
Tr... | [
11748,
275,
9078,
198,
11748,
28686,
11,
15095,
198,
6738,
3108,
8019,
1330,
10644,
198,
6738,
33829,
1330,
2039,
388,
198,
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
11748,
269,
21370,
198,
198,
6738,
764,
1330,
885,
1112,
62,
... | 3.131579 | 114 |
import clr
clr.AddReference('RevitAPI')
from Autodesk.Revit.DB import *
views = UnwrapElement(IN[0])
if isinstance(IN[0], list): OUT = [GetViewTemplate(x) for x in views]
else: OUT = GetViewTemplate(views) | [
11748,
537,
81,
198,
565,
81,
13,
4550,
26687,
10786,
18009,
270,
17614,
11537,
198,
6738,
5231,
4147,
74,
13,
18009,
270,
13,
11012,
1330,
1635,
198,
198,
33571,
796,
791,
37150,
20180,
7,
1268,
58,
15,
12962,
198,
198,
361,
318,
3... | 2.76 | 75 |
#!/usr/bin/python
# *****************************************************************************
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The A... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
2,
41906,
17174,
4557,
35625,
198,
2,
198,
2,
49962,
284,
262,
24843,
10442,
5693,
357,
1921,
37,
8,
739,
530,
198,
2,
393,
517,
18920,
5964,
11704,
13,
220,
4091,
262,
28536,
2393,
... | 2.448031 | 3,377 |
test = """forward 5
down 5
forward 8
up 3
down 8
forward 2
"""
if __name__ == '__main__':
part1(test.splitlines())
part1(open('in02.txt').readlines())
part2(test.splitlines())
part2(open('in02.txt').readlines())
| [
198,
9288,
796,
37227,
11813,
642,
198,
2902,
642,
198,
11813,
807,
198,
929,
513,
198,
2902,
807,
198,
11813,
362,
198,
37811,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
636,
16,
7,... | 2.442105 | 95 |
# Generated by Django 3.1.3 on 2020-11-09 08:56
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
16,
13,
18,
319,
12131,
12,
1157,
12,
2931,
8487,
25,
3980,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
"""Test PDS times modules."""
from datetime import datetime as dt
from pyvims.pds.times import (cassini2utc, cassini_time, dt_date, dt_doy, dt_iso,
dyear, pds_folder, pds_time, utc2cassini)
from pytest import approx, raises
def test_dt_iso():
"""Test parsing ISO time pattern."""
... | [
37811,
14402,
350,
5258,
1661,
13103,
526,
15931,
198,
198,
6738,
4818,
8079,
1330,
4818,
8079,
355,
288,
83,
198,
198,
6738,
12972,
85,
12078,
13,
79,
9310,
13,
22355,
1330,
357,
66,
562,
5362,
17,
315,
66,
11,
30606,
5362,
62,
243... | 2.128795 | 2,174 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
11,
15720,
602,
628
] | 2.891892 | 37 |
#!/usr/bin/env python
"""Schema validation of ansible-core's ansible_builtin_runtime.yml and collection's meta/runtime.yml"""
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import datetime
import os
import re
import sys
from distutils.version import StrictVersion, LooseVersion
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
27054,
2611,
21201,
286,
9093,
856,
12,
7295,
338,
9093,
856,
62,
18780,
259,
62,
43282,
13,
88,
4029,
290,
4947,
338,
13634,
14,
43282,
13,
88,
4029,
37811,
198,
6738,
11593,
... | 2.317012 | 4,820 |
#!/usr/bin/env python
from flexbe_core import EventState, Logger
from flexbe_core.proxy import ProxyActionClient
# example import of required action
from o2ac_msgs.msg import AlignBearingHolesAction, AlignBearingHolesGoal
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
6738,
7059,
1350,
62,
7295,
1330,
8558,
9012,
11,
5972,
1362,
198,
6738,
7059,
1350,
62,
7295,
13,
36436,
1330,
38027,
12502,
11792,
198,
198,
2,
1672,
1330,
286,
2672,
2223,
198,
6738... | 3.343284 | 67 |
#!/usr/bin/env python3
"""Find unicode control characters in source files
By default the script takes one or more files or directories and looks for
unicode control characters in all text files. To narrow down the files, provide
a config file with the -c command line, defining a scan_exclude list, which
should be a l... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
37811,
16742,
28000,
1098,
1630,
3435,
287,
2723,
3696,
198,
198,
3886,
4277,
262,
4226,
2753,
530,
393,
517,
3696,
393,
29196,
290,
3073,
329,
198,
46903,
1098,
1630,
3435,
287,
4... | 2.641771 | 1,513 |
import numpy as np
from igibson.external.pybullet_tools.utils import aabb_union, get_aabb, get_all_links
from igibson.object_states.object_state_base import CachingEnabledObjectState
| [
11748,
299,
32152,
355,
45941,
198,
198,
6738,
45329,
571,
1559,
13,
22615,
13,
9078,
15065,
1616,
62,
31391,
13,
26791,
1330,
257,
6485,
62,
24592,
11,
651,
62,
64,
6485,
11,
651,
62,
439,
62,
28751,
198,
6738,
45329,
571,
1559,
13... | 3.135593 | 59 |
# (C) Datadog, Inc. 2010-2017
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
from __future__ import unicode_literals
import time
from datetime import datetime
import mock
import pytest
from mock import MagicMock
from pyVmomi import vim
from datadog_checks.vsphere import VSphereCheck
from... | [
2,
357,
34,
8,
16092,
324,
519,
11,
3457,
13,
3050,
12,
5539,
198,
2,
1439,
2489,
10395,
198,
2,
49962,
739,
45157,
1431,
347,
10305,
13789,
357,
3826,
38559,
24290,
8,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874... | 2.112596 | 6,883 |
MANDRILL_API_KEY = 'MANDRILL_API_KEY'
UNSET_MANDRILL_API_KEY_MSG = f"Mandrill API key not set in environment variable {MANDRILL_API_KEY}"
CONTACT_LIST_QUERY = """
SELECT *
FROM `{{project}}.{{dataset}}.{{contact_table}}`
"""
EHR_OPERATIONS = 'EHR Ops'
EHR_OPS_ZENDESK = 'support@aou-ehr-ops.zendesk.com'
DATA_CURATION_... | [
44,
6981,
7112,
3069,
62,
17614,
62,
20373,
796,
705,
44,
6981,
7112,
3069,
62,
17614,
62,
20373,
6,
198,
4944,
28480,
62,
44,
6981,
7112,
3069,
62,
17614,
62,
20373,
62,
5653,
38,
796,
277,
1,
49846,
20190,
7824,
1994,
407,
900,
... | 2.724619 | 788 |
import os
import argparse
from pathlib import Path
CLIP_FILE = os.path.join(Path.home(), '.clip')
TEMP_FILE = '.TEMP_FILE'
if __name__ == '__main__':
main()
| [
11748,
28686,
198,
11748,
1822,
29572,
198,
6738,
3108,
8019,
1330,
10644,
198,
198,
5097,
4061,
62,
25664,
796,
28686,
13,
6978,
13,
22179,
7,
15235,
13,
11195,
22784,
45302,
15036,
11537,
198,
51,
39494,
62,
25664,
796,
45302,
51,
394... | 2.560606 | 66 |
from typing import List, Tuple
from gama.genetic_programming.nsga2 import (
NSGAMeta,
fast_non_dominated_sort,
crowding_distance_assignment,
)
def _tuples_to_NSGAMeta(tuples: List[Tuple]) -> List[NSGAMeta]:
""" Converts a list of tuples to NSGAMeta objects. """
# Can't declare it directly in a loo... | [
6738,
19720,
1330,
7343,
11,
309,
29291,
198,
6738,
308,
1689,
13,
5235,
5139,
62,
23065,
2229,
13,
5907,
4908,
17,
1330,
357,
198,
220,
220,
220,
10896,
38,
2390,
17167,
11,
198,
220,
220,
220,
3049,
62,
13159,
62,
34475,
62,
30619... | 2.60989 | 182 |
# File taken from https://github.com/Ouranosinc/pavics-vdb/blob/master/catalog/tds.py
"""Utility function to parse metadata from a THREDDS Data Server catalog."""
def attrs_from_ds(ds):
"""Extract attributes from TDS Dataset."""
url = ds.access_urls["NCML"]
attrs = attrs_from_ncml(url)
attrs["__serv... | [
2,
9220,
2077,
422,
3740,
1378,
12567,
13,
785,
14,
5122,
40015,
1939,
14,
79,
615,
873,
12,
85,
9945,
14,
2436,
672,
14,
9866,
14,
9246,
11794,
14,
8671,
82,
13,
9078,
198,
198,
37811,
18274,
879,
2163,
284,
21136,
20150,
422,
25... | 2.555164 | 852 |
# -*- coding: utf-8 -*-
"""
Module containing miscellaneous utility functions.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import collections
import itertools
import numpy as np
def deep_update(d1, d2):
"""
Adds key-value pairs in d2 to... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
37811,
198,
26796,
7268,
2984,
25673,
10361,
5499,
13,
198,
37811,
198,
198,
6738,
11593,
37443,
834,
1330,
357,
48546,
62,
11748,
11,
7297,
11,
3601,
62,
8818,
11,... | 2.5625 | 1,552 |
import numpy as np
import random
from collections import namedtuple
Drone = namedtuple('Drone', 'speed probability')
Site = namedtuple('Site', 'location')
| [
198,
11748,
299,
32152,
355,
45941,
198,
11748,
4738,
198,
6738,
17268,
1330,
3706,
83,
29291,
628,
628,
198,
6187,
505,
796,
3706,
83,
29291,
10786,
6187,
505,
3256,
705,
12287,
12867,
11537,
198,
29123,
796,
3706,
83,
29291,
10786,
29... | 3.4375 | 48 |
# Copyright 2022 The Orbit Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | [
2,
15069,
33160,
383,
38161,
46665,
13,
1439,
6923,
33876,
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,
... | 3.673171 | 205 |
#!/usr/bin/python
################################################################################
# DOCUMENTS
#
# Justin Dierking
# justin.l.dierking.civ@mail.mil
# 614 692 2050
#
# 04/22/2018 Original Construction
################################################################################
import traceback
impor... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
29113,
29113,
14468,
198,
2,
37760,
5883,
15365,
198,
2,
198,
2,
10799,
360,
959,
3364,
198,
2,
655,
259,
13,
75,
13,
67,
959,
3364,
13,
66,
452,
31,
4529,
13,
25433,
198,
2,
718,
1415,... | 4.591549 | 71 |
import vigra
import numpy
import pylab
from seglib import cgp2d
from seglib.preprocessing import norm01
import seglib.edge_detectors.pixel as edp
import seglib.region_descriptors.pixel as rdp
from seglib.preprocessing import norm01
from seglib.histogram import jointHistogram,histogram
from seglib.region_descriptors.p... | [
11748,
10539,
430,
198,
11748,
299,
32152,
198,
11748,
279,
2645,
397,
198,
198,
6738,
384,
4743,
571,
1330,
269,
31197,
17,
67,
220,
198,
6738,
384,
4743,
571,
13,
3866,
36948,
1330,
2593,
486,
198,
11748,
384,
4743,
571,
13,
14907,
... | 2.197952 | 879 |
from datetime import date
from django.conf import settings
from django.db import models
# Create your models here.
| [
6738,
4818,
8079,
1330,
3128,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
628,
198,
2,
13610,
534,
4981,
994,
13,
628
] | 3.933333 | 30 |
#-*- codingutf-8 -*-
# &Author AnFany
#
import Kmeans_AnFany as K_Af # AnFany
import Kmeans_Sklearn as K_Sk # Sklearn
import matplotlib.pyplot as plt
from pylab import mpl #
mpl.rcParams['font.sans-serif'] = ['FangSong'] #
mpl.rcParams['axes.unicode_minus'] = False
import numpy as np
# sklearn
fr... | [
2,
12,
9,
12,
19617,
40477,
12,
23,
532,
9,
12,
201,
198,
2,
1222,
13838,
220,
1052,
37,
1092,
201,
198,
201,
198,
2,
220,
201,
198,
11748,
509,
1326,
504,
62,
2025,
37,
1092,
355,
509,
62,
17584,
220,
1303,
1052,
37,
1092,
20... | 1.823423 | 555 |
#!/usr/bin/env python
"""
Control panel file
"""
import pddl_solver as pddl
import ik
import rospy
from get_object_position import get_object_position
import time
from constants import *
from spawn_models import reset_model_position, reset_all, spawn_model, spawn_all_models
from delete_models import delete_all, de... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
37811,
198,
220,
220,
220,
6779,
6103,
2393,
198,
37811,
198,
198,
11748,
279,
1860,
75,
62,
82,
14375,
355,
279,
1860,
75,
198,
11748,
220,
1134,
198,
11748,
686,
2777,
88,
198,
673... | 3.15 | 120 |
from Enigma.Rotor import Rotor
from Enigma.Reflector import Reflector
from Enigma.Plugboard import Plugboard
| [
6738,
2039,
13495,
13,
49,
20965,
1330,
18481,
273,
198,
6738,
2039,
13495,
13,
8134,
801,
273,
1330,
36901,
273,
198,
6738,
2039,
13495,
13,
23257,
3526,
1330,
22689,
3526,
198
] | 3.516129 | 31 |
# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
| [
2,
15069,
2211,
12,
42334,
13914,
45036,
3549,
2351,
4765,
11,
11419,
290,
584,
198,
2,
1338,
441,
4935,
34152,
13,
4091,
262,
1353,
12,
5715,
27975,
38162,
9947,
2393,
329,
3307,
13,
198,
2,
198,
2,
30628,
55,
12,
34156,
12,
33234,... | 3.47619 | 63 |
import math
from django.contrib.auth import get_user_model
from django.contrib.sites.shortcuts import get_current_site
from django.core.mail import send_mail
from django.template import loader
from magicauth import settings as magicauth_settings
from django.conf import settings as django_settings
from magicauth.model... | [
11748,
10688,
198,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
1330,
651,
62,
7220,
62,
19849,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
49315,
13,
19509,
23779,
1330,
651,
62,
14421,
62,
15654,
198,
6738,
42625,
14208,
13,
7... | 3.375839 | 149 |
import os
import sys
## {{{ http://code.activestate.com/recipes/52224/ (r1)
def search_file(filename, search_path):
"""Given an os.pathsep divided `search_path`, find first occurrence of
`filename`. Returns full path to file if found or None if unfound.
"""
file_found = False
paths = search_path.... | [
11748,
28686,
198,
11748,
25064,
628,
198,
2235,
22935,
90,
2638,
1378,
8189,
13,
15791,
44146,
13,
785,
14,
8344,
18636,
14,
49542,
1731,
14,
357,
81,
16,
8,
198,
4299,
2989,
62,
7753,
7,
34345,
11,
2989,
62,
6978,
2599,
198,
220,
... | 2.34981 | 526 |
import pytest
import tensorflow as tf
from deepctr.estimator import DCNEstimator
from deepctr.models import DCN
from ..utils import check_model, get_test_data, SAMPLE_SIZE, get_test_data_estimator, check_estimator, \
Estimator_TEST_TF1
# def test_DCN_invalid(embedding_size=8, cross_num=0, hidden_size=()):
# ... | [
11748,
12972,
9288,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
198,
6738,
2769,
24087,
13,
395,
320,
1352,
1330,
6257,
12161,
42003,
1352,
198,
6738,
2769,
24087,
13,
27530,
1330,
6257,
45,
198,
6738,
11485,
26791,
1330,
2198,
62,
... | 2.286585 | 328 |
import os
import subprocess
import backoff
| [
11748,
28686,
198,
11748,
850,
14681,
198,
198,
11748,
736,
2364,
628,
628,
628,
198
] | 3.333333 | 15 |
import argparse
from deploy_tix.bugzilla_rest_client import BugzillaRESTClient
from deploy_tix.release_notes import ReleaseNotes
from output_helper import OutputHelper
| [
11748,
1822,
29572,
198,
6738,
6061,
62,
83,
844,
13,
25456,
16496,
62,
2118,
62,
16366,
1330,
15217,
16496,
49,
6465,
11792,
198,
6738,
6061,
62,
83,
844,
13,
20979,
62,
17815,
1330,
13868,
16130,
198,
6738,
5072,
62,
2978,
525,
1330... | 3.755556 | 45 |
from visual import *
print("""
Click to place spheres under falling string.
Right button drag or Ctrl-drag to rotate view.
Middle button drag or Alt-drag to zoom in or out.
On a two-button mouse, middle is left + right.
""")
# David Scherer
scene.title = "Drape"
restlength = 0.02
m = 0.010 * restlengt... | [
6738,
5874,
1330,
1635,
201,
198,
201,
198,
4798,
7203,
15931,
201,
198,
8164,
284,
1295,
34126,
739,
7463,
4731,
13,
201,
198,
11028,
4936,
6715,
393,
19212,
12,
7109,
363,
284,
23064,
1570,
13,
201,
198,
34621,
4936,
6715,
393,
1234... | 2.088116 | 1,237 |
# *****************************************************************************
# Copyright (c) 2020, Intel Corporation All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# Redistributions of sou... | [
2,
41906,
17174,
4557,
35625,
198,
2,
15069,
357,
66,
8,
12131,
11,
8180,
10501,
1439,
2489,
10395,
13,
198,
2,
198,
2,
2297,
396,
3890,
290,
779,
287,
2723,
290,
13934,
5107,
11,
351,
393,
1231,
198,
2,
17613,
11,
389,
10431,
281... | 2.891859 | 2,469 |
from math import sqrt
# Naive method: Loop through N and check if every number is prime or not. If prime add to sum. Time complexity is O(n). Time of execution ~ 8sec for n = 1000000
s = set(prime(1000000))
for _ in range(int(input())):
n = int(input())
print(sum(i for i in s if i <= n))
# Sieve implementa... | [
6738,
10688,
1330,
19862,
17034,
198,
198,
2,
11013,
425,
2446,
25,
26304,
832,
399,
290,
2198,
611,
790,
1271,
318,
6994,
393,
407,
13,
1002,
6994,
751,
284,
2160,
13,
3862,
13357,
318,
440,
7,
77,
737,
3862,
286,
9706,
5299,
807,
... | 2.273529 | 340 |
import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
l1EmulatorErrorFlagClient = DQMEDHarvester("L1EmulatorErrorFlagClient",
#
# for each L1 system, give:
# - SystemLabel: system label
# - HwValLabel: system label as used in hardware validation ... | [
11748,
48849,
14055,
13,
36301,
7248,
13,
16934,
355,
269,
907,
198,
6738,
360,
48,
5653,
712,
1063,
13,
14055,
13,
35,
48,
30733,
13587,
1158,
353,
1330,
360,
48,
30733,
13587,
1158,
353,
198,
198,
75,
16,
10161,
8927,
12331,
34227,
... | 1.594019 | 2,441 |
"""
The SQLAlchemy table objects for the CodaLab bundle system tables.
"""
# TODO: Replace String and Text columns with Unicode and UnicodeText as appropriate
# This way, SQLAlchemy will automatically perform conversions to and from UTF-8
# encoding, or use appropriate database engine-specific data types for Unicode
# ... | [
37811,
198,
464,
16363,
2348,
26599,
3084,
5563,
329,
262,
327,
11329,
17822,
18537,
1080,
8893,
13,
198,
37811,
198,
2,
16926,
46,
25,
40177,
10903,
290,
8255,
15180,
351,
34371,
290,
34371,
8206,
355,
5035,
198,
2,
770,
835,
11,
163... | 2.661053 | 6,532 |
# (c) 2020 Nokia
#
# Licensed under the BSD 3 Clause license
# SPDX-License-Identifier: BSD-3-Clause
#
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
---
author:
- "Hans Thienpondt (@HansThienpondt)"
- "Sven Wisotzky (@wisotzky)"
connection: gnmi
short_... | [
2,
357,
66,
8,
12131,
26182,
198,
2,
198,
2,
49962,
739,
262,
347,
10305,
513,
28081,
5964,
198,
2,
30628,
55,
12,
34156,
12,
33234,
7483,
25,
347,
10305,
12,
18,
12,
2601,
682,
198,
2,
198,
198,
6738,
11593,
37443,
834,
1330,
3... | 2.769204 | 2,838 |
#!/usr/bin/python
# Software License Agreement (BSD License)
#
# Copyright (c) 2009-2011, Eucalyptus Systems, Inc.
# All rights reserved.
#
# Redistribution and use of this software in source and binary forms, with or
# without modification, are permitted provided that the following conditions
# are met:
#
# Redistri... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
10442,
13789,
12729,
357,
21800,
13789,
8,
198,
2,
198,
2,
15069,
357,
66,
8,
3717,
12,
9804,
11,
412,
1229,
3400,
457,
385,
11998,
11,
3457,
13,
198,
2,
1439,
2489,
10395,
13,
198,
... | 3.251445 | 692 |
MAP = 1
SPEED = 1.5
VELOCITYRESET = 6
WIDTH = 1280
HEIGHT = 720
X = WIDTH / 2 - 50
Y = HEIGHT / 2 - 50
MOUSER = 325
TICKRATES = 120
nfc = False
raspberry = False | [
33767,
796,
352,
201,
198,
4303,
41841,
796,
352,
13,
20,
201,
198,
18697,
4503,
9050,
19535,
2767,
796,
718,
201,
198,
54,
2389,
4221,
796,
37674,
201,
198,
13909,
9947,
796,
26250,
201,
198,
55,
796,
370,
2389,
4221,
1220,
362,
53... | 2.084337 | 83 |
# This problem was asked by Facebook.
#
# A builder is looking to build a row of N houses that can be of K different colors.
# He has a goal of minimizing cost while ensuring that no two neighboring houses are of the same color.
#
# Given an N by K matrix where the nth row and kth column represents the cost to build th... | [
2,
770,
1917,
373,
1965,
416,
3203,
13,
198,
2,
198,
2,
317,
27098,
318,
2045,
284,
1382,
257,
5752,
286,
399,
7777,
326,
460,
307,
286,
509,
1180,
7577,
13,
198,
2,
679,
468,
257,
3061,
286,
41366,
1575,
981,
13359,
326,
645,
7... | 4.091837 | 98 |
import argparse
import numpy as np
import os
import sys
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from saliency.visualizer.smiles_visualizer import SmilesVisualizer
if __name__ == '__main_... | [
11748,
1822,
29572,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
198,
11748,
25064,
198,
198,
11748,
2603,
29487,
8019,
198,
6759,
29487,
8019,
13,
1904,
10786,
9460,
11537,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
3... | 2.731707 | 123 |
#
# jQuery File Tree
# Python/Django connector script
# By Martin Skou
#
import os
import urllib
| [
2,
198,
2,
37420,
9220,
12200,
198,
2,
11361,
14,
35,
73,
14208,
21716,
4226,
198,
2,
2750,
5780,
3661,
280,
198,
2,
198,
11748,
28686,
198,
11748,
2956,
297,
571,
198
] | 3.03125 | 32 |
#!/usr/bin/env python3
import torch
from .lazy_tensor import LazyTensor
from .root_lazy_tensor import RootLazyTensor
from .. import settings
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
28034,
198,
198,
6738,
764,
75,
12582,
62,
83,
22854,
1330,
406,
12582,
51,
22854,
198,
6738,
764,
15763,
62,
75,
12582,
62,
83,
22854,
1330,
20410,
43,
12582,
51,
22... | 2.938776 | 49 |
# File: A (Python 2.4)
from pandac.PandaModules import AudioSound
from direct.directnotify import DirectNotifyGlobal
from direct.interval.IntervalGlobal import LerpFunc, Sequence
from direct.showbase.DirectObject import DirectObject
| [
2,
9220,
25,
317,
357,
37906,
362,
13,
19,
8,
198,
198,
6738,
19798,
330,
13,
47,
5282,
5841,
5028,
1330,
13491,
21369,
198,
6738,
1277,
13,
12942,
1662,
1958,
1330,
4128,
3673,
1958,
22289,
198,
6738,
1277,
13,
3849,
2100,
13,
9492... | 2.744898 | 98 |
import import_target
print import_target.x
import import_target
import_target.foo()
c = import_target.C()
print import_target.import_nested_target.y
import_target.import_nested_target.bar()
d = import_target.import_nested_target.D()
print "testing importfrom:"
from import_target import x as z
print z
import_nested... | [
11748,
1330,
62,
16793,
198,
4798,
1330,
62,
16793,
13,
87,
198,
198,
11748,
1330,
62,
16793,
198,
11748,
62,
16793,
13,
21943,
3419,
198,
198,
66,
796,
1330,
62,
16793,
13,
34,
3419,
198,
198,
4798,
1330,
62,
16793,
13,
11748,
62,
... | 3.016949 | 295 |
import numpy as np
from PySide2.QtCore import QSignalBlocker, Signal
from PySide2.QtWidgets import QGridLayout, QWidget
from hexrd.ui.scientificspinbox import ScientificDoubleSpinBox
DEFAULT_ENABLED_STYLE_SHEET = 'background-color: white'
DEFAULT_DISABLED_STYLE_SHEET = 'background-color: #F0F0F0'
INVALID_MATRIX_STY... | [
11748,
299,
32152,
355,
45941,
198,
198,
6738,
9485,
24819,
17,
13,
48,
83,
14055,
1330,
1195,
11712,
282,
12235,
263,
11,
26484,
198,
6738,
9485,
24819,
17,
13,
48,
83,
54,
312,
11407,
1330,
1195,
41339,
32517,
11,
1195,
38300,
198,
... | 2.28587 | 920 |
from django.conf.urls.defaults import *
urlpatterns = patterns('pytorque.views',
(r'^$', 'central_dispatch_view'),
(r'^browse$', 'central_dispatch_view'),
(r'^monitor$', 'central_dispatch_view'),
(r'^submit$', 'central_dispatch_view'),
(r'^stat$', 'central_dispatch_view'),
(r'^login/$', 'login... | [
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
13,
12286,
82,
1330,
1635,
198,
198,
6371,
33279,
82,
796,
7572,
10786,
9078,
13165,
4188,
13,
33571,
3256,
198,
220,
220,
220,
357,
81,
6,
61,
3,
3256,
705,
31463,
62,
6381,
17147,
62,
... | 2.086687 | 323 |
from typing import Tuple, Union, Any, Sequence
from collections import deque, defaultdict, OrderedDict
from ...validators.one import JustLen
from ...functional.mixins import CompositionClassMixin
from ..one import Just
dict_keys = type({}.keys())
odict_keys = type(OrderedDict({}).keys())
dict_values = type({}.values()... | [
6738,
19720,
1330,
309,
29291,
11,
4479,
11,
4377,
11,
45835,
198,
6738,
17268,
1330,
390,
4188,
11,
4277,
11600,
11,
14230,
1068,
35,
713,
198,
6738,
2644,
12102,
2024,
13,
505,
1330,
2329,
30659,
198,
6738,
2644,
45124,
13,
19816,
1... | 2.674603 | 252 |
# Copyright (C) 2014-2016 Cuckoo Foundation.
# This file is part of Cuckoo Sandbox - http://www.cuckoosandbox.org
# See the file 'docs/LICENSE' for copying permission.
from lib.api.process import Process
from lib.exceptions.exceptions import CuckooPackageError
| [
2,
15069,
357,
34,
8,
1946,
12,
5304,
327,
1347,
2238,
5693,
13,
198,
2,
770,
2393,
318,
636,
286,
327,
1347,
2238,
3837,
3524,
532,
2638,
1378,
2503,
13,
66,
1347,
16426,
392,
3524,
13,
2398,
198,
2,
4091,
262,
2393,
705,
31628,
... | 3.316456 | 79 |
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
198,
6738,
42625,
14208,
13,
26791,
13,
41519,
1330,
334,
1136,
5239,
62,
75,
12582,
355,
4808,
628
] | 3.5 | 26 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from main import models
admin.site.register(models.User, Admin)
admin.site.register(models.Document, DocumentAdmin)
| [
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
28482,
1330,
11787,
46787,
198,
198,
6738,
1388,
1330,
4981,
628,
198,
198,
28482,
13,
15654,
13,
30238,
7,
27530,
13,
12982,
11,
3... | 3.4 | 60 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
from abc import ABCMeta, abstractmethod
from collections import defaultdict
from cloudshell.cli.factory.session_factory import (
CloudInfoAccessKeySessionFactory,
GenericSessionFactory,
SessionFactory,
)
from cloudshell.cli.service.cli import CLI
from cl... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
25064,
198,
6738,
450,
66,
1330,
9738,
48526,
11,
12531,
24396,
198,
6738,
17268,
1330,
4277,
11600,
198,
198,
6738,
62... | 2.805882 | 510 |
if __name__ == '__main__':
main()
| [
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 2.105263 | 19 |
import json
import logging
import joblib
import pandas as pd
from flask import Flask, jsonify, request
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app)
if __name__ == "__main__":
app.run(debug=True)
# To start the server
# python3 app.py
| [
11748,
33918,
198,
11748,
18931,
198,
198,
11748,
1693,
8019,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
42903,
1330,
46947,
11,
33918,
1958,
11,
2581,
198,
6738,
42903,
62,
66,
669,
1330,
327,
20673,
11,
3272,
62,
47103,
198,
1... | 2.863158 | 95 |
import pytest
from PySide2.QtGui import QVector3D
from nexus_constructor.model.component import Component
from nexus_constructor.model.dataset import Dataset
from nexus_constructor.model.instrument import Instrument
from nexus_constructor.model.value_type import ValueTypes
values = Dataset(
name="scalar_value",
... | [
11748,
12972,
9288,
198,
6738,
9485,
24819,
17,
13,
48,
83,
8205,
72,
1330,
1195,
38469,
18,
35,
198,
198,
6738,
45770,
62,
41571,
273,
13,
19849,
13,
42895,
1330,
35100,
198,
6738,
45770,
62,
41571,
273,
13,
19849,
13,
19608,
292,
... | 2.873239 | 142 |
#!/usr/bin/env python
import argparse
import os.path as osp
import logging
import time
import sys
sys.path.insert(0, osp.dirname(__file__) + '/..')
import torch
import torch.nn as nn
from fastmvsnet.config import load_cfg_from_file
from fastmvsnet.utils.io import mkdir
from fastmvsnet.utils.logger import setup_logger... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
1822,
29572,
198,
11748,
28686,
13,
6978,
355,
267,
2777,
198,
11748,
18931,
198,
11748,
640,
198,
11748,
25064,
198,
17597,
13,
6978,
13,
28463,
7,
15,
11,
267,
2777,
13,
15908... | 2.953571 | 280 |
# Estrutura bsica para projetos de Machine Learning e Deep Learning
# Por Adriano Santos.
from torch import nn, relu
import torch.nn.functional as F
import torch.optim as optim
import torch
from torchvision import models
| [
2,
412,
2536,
315,
5330,
275,
82,
3970,
31215,
386,
31173,
418,
390,
10850,
18252,
304,
10766,
18252,
198,
2,
20139,
21462,
78,
28458,
13,
198,
198,
6738,
28034,
1330,
299,
77,
11,
823,
84,
198,
11748,
28034,
13,
20471,
13,
45124,
3... | 3.639344 | 61 |
#!/usr/bin/env python
# Copyright (c) 2017, Simon Brodeur
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, th... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
15069,
357,
66,
8,
2177,
11,
11288,
2806,
2934,
333,
198,
2,
1439,
2489,
10395,
13,
198,
2,
220,
198,
2,
2297,
396,
3890,
290,
779,
287,
2723,
290,
13934,
5107,
11,
351,
... | 2.092617 | 1,544 |
import pygame
from loguru import logger
from somegame.osd import OSD
| [
11748,
12972,
6057,
198,
6738,
2604,
14717,
1330,
49706,
198,
198,
6738,
617,
6057,
13,
418,
67,
1330,
7294,
35,
628
] | 3.380952 | 21 |
#
# Copyright 2016 The BigDL Authors.
#
# 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 ... | [
2,
198,
2,
15069,
1584,
383,
4403,
19260,
46665,
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... | 3.472789 | 294 |
import json
import tornado.gen
import traceback
from base64 import b64encode
from tornado.httpclient import AsyncHTTPClient, HTTPRequest, HTTPError
from settings import Settings
from mongo_db_controller import ZoomUserDB
| [
11748,
33918,
198,
11748,
33718,
13,
5235,
198,
11748,
12854,
1891,
198,
198,
6738,
2779,
2414,
1330,
275,
2414,
268,
8189,
198,
6738,
33718,
13,
4023,
16366,
1330,
1081,
13361,
40717,
11792,
11,
14626,
18453,
11,
14626,
12331,
198,
198,
... | 3.912281 | 57 |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from crypten.mpc import primitives # noqa: F401
from crypten.mpc import provider # noqa: F40
from .conte... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
2,
15069,
357,
66,
8,
3203,
11,
3457,
13,
290,
663,
29116,
13,
198,
2,
198,
2,
770,
2723,
2438,
318,
11971,
739,
262,
17168,
5964,
1043,
287,
262,
198,
2,
38559,
24290,
... | 2.982699 | 289 |
# coding=utf-8
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
from pyflakes.checke... | [
2,
19617,
28,
40477,
12,
23,
198,
2,
15069,
1853,
41689,
1628,
20420,
357,
3826,
27342,
9865,
3843,
20673,
13,
9132,
737,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
3826,
38559,
24290,
737,
198,
198,
6738,
1... | 3.119718 | 142 |
from django.db import models
from django.contrib.auth.models import User
from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
11787,
198,
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
42625,
14208,
13,
26791,
13,
41519,
1330,
334,
1136,
52... | 3.468085 | 47 |