content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
"""
This is an extract config intended for S3 object manifests produced by TBD.
To use it, you must import it in another extract config and override at least
the `source_data_url`. You may also append additional operations to the
`operations` list as well.
For example you could have the following in your extract conf... | [
37811,
198,
1212,
318,
281,
7925,
4566,
5292,
329,
311,
18,
2134,
42190,
4635,
416,
34343,
13,
198,
198,
2514,
779,
340,
11,
345,
1276,
1330,
340,
287,
1194,
7925,
4566,
290,
20957,
379,
1551,
198,
1169,
4600,
10459,
62,
7890,
62,
6... | 2.137636 | 2,107 |
import bpy
from bpy.app.handlers import persistent
bl_info = {
"name": "Playback Once",
"author": "Adhi Hargo",
"version": (1, 0, 0),
"blender": (2, 67, 3),
"location": "",
"description": "Playback once.",
"warning": "",
"wiki_url": "",
"tracker_url": "",
"category": "Animation"... | [
11748,
275,
9078,
198,
6738,
275,
9078,
13,
1324,
13,
4993,
8116,
1330,
16218,
198,
198,
2436,
62,
10951,
796,
1391,
198,
220,
220,
220,
366,
3672,
1298,
366,
11002,
1891,
4874,
1600,
198,
220,
220,
220,
366,
9800,
1298,
366,
2782,
... | 2.291925 | 161 |
"""
To master this you should consider using the builtin-``min``-function.
"""
from ...challenge import Challenge
from random import randint
x = []
for _ in range(randint(2, 10)):
x.append(randint(1, 100))
intro = f"You have to print the lowest value of {', '.join(str(_) for _ in x[:-1])} and {x[-1]}. (values: x... | [
37811,
198,
2514,
4958,
428,
345,
815,
2074,
1262,
262,
3170,
259,
12,
15506,
1084,
15506,
12,
8818,
13,
198,
37811,
198,
6738,
2644,
36747,
3540,
1330,
13879,
198,
6738,
4738,
1330,
43720,
600,
628,
198,
87,
796,
17635,
198,
1640,
48... | 2.657303 | 178 |
# pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
from typing import AsyncIterator
import pytest
from aioresponses import aioresponses
from faker import Faker
from hypothesis import HealthCheck, given, settings
from hypothesis import strategies as st
from models_... | [
2,
279,
2645,
600,
25,
40223,
28,
403,
1484,
12,
45286,
198,
2,
279,
2645,
600,
25,
40223,
28,
403,
1484,
12,
49140,
198,
2,
279,
2645,
600,
25,
40223,
28,
445,
18156,
12,
39605,
12,
3672,
628,
198,
6738,
19720,
1330,
1081,
13361,... | 3.490566 | 212 |
'''
converts video to frames and saves images by different interval, or overlap, etc
'''
import folium
from folium import plugins
from folium.plugins import HeatMap
import csv
# class plitterMap():
# def __int__(self, file_path):
# self.data = file_path
# df = []
# with open(self.data) as f... | [
7061,
6,
198,
1102,
24040,
2008,
284,
13431,
290,
16031,
4263,
416,
1180,
16654,
11,
393,
21721,
11,
3503,
198,
7061,
6,
198,
11748,
5955,
1505,
198,
6738,
5955,
1505,
1330,
20652,
198,
6738,
5955,
1505,
13,
37390,
1330,
12308,
13912,
... | 1.929461 | 482 |
import numpy as np
| [
11748,
299,
32152,
355,
45941,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198
] | 1.866667 | 15 |
# Copyright (c) 2016 Ansible, Inc.
# All Rights Reserved.
from collections import OrderedDict
# Django
from django.core.exceptions import PermissionDenied
from django.db.models.fields import PositiveIntegerField, BooleanField
from django.db.models.fields.related import ForeignKey
from django.http import Http404
from ... | [
2,
15069,
357,
66,
8,
1584,
28038,
856,
11,
3457,
13,
198,
2,
1439,
6923,
33876,
13,
198,
198,
6738,
17268,
1330,
14230,
1068,
35,
713,
198,
198,
2,
37770,
198,
6738,
42625,
14208,
13,
7295,
13,
1069,
11755,
1330,
2448,
3411,
21306,... | 3.823045 | 243 |
import json
from washer.worker.actions import AppendStdout, AppendStderr
from washer.worker.actions import CreateNamedLog, AppendToLog
from washer.worker.actions import SetProperty
from washer.worker.commands import washertask
| [
11748,
33918,
198,
198,
6738,
373,
372,
13,
28816,
13,
4658,
1330,
2034,
437,
1273,
67,
448,
11,
2034,
437,
1273,
1082,
81,
198,
6738,
373,
372,
13,
28816,
13,
4658,
1330,
13610,
45,
2434,
11187,
11,
2034,
437,
2514,
11187,
198,
673... | 3.447761 | 67 |
import json
import os
# get site profile
# get all site profile
#sites_folder = "sites"
#print getAllSiteProfiles(sites_folder)
| [
11748,
33918,
198,
11748,
28686,
198,
198,
2,
651,
2524,
7034,
198,
198,
2,
651,
477,
2524,
7034,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
2,
49315,
62,
43551,
796,
366,
49315,
1,
198,
2,
4798,
651,
3237,
29123,
15404,
29... | 2.78 | 50 |
import os, sys
from env.LaneChangeEnv import LaneChangeEnv
import random
import numpy as np
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
print('success')
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
import traci
NUM... | [
11748,
28686,
11,
25064,
198,
6738,
17365,
13,
43,
1531,
19400,
4834,
85,
1330,
15016,
19400,
4834,
85,
198,
11748,
4738,
198,
11748,
299,
32152,
355,
45941,
198,
361,
705,
50,
5883,
46,
62,
39069,
6,
287,
28686,
13,
268,
2268,
25,
... | 2.213012 | 953 |
import numpy as np
import pickle
from collections import defaultdict
from parsing import parser
from analysis import training
if __name__ == '__main__':
main()
| [
11748,
299,
32152,
355,
45941,
198,
11748,
2298,
293,
198,
6738,
17268,
1330,
4277,
11600,
198,
198,
6738,
32096,
1330,
30751,
198,
6738,
3781,
1330,
3047,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
22... | 3.711111 | 45 |
#
# Copyright (c) Contributors to the Open 3D Engine Project.
# For complete copyright and license terms please see the LICENSE at the root of this distribution.
#
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
#
import abc
import importlib
import os
import pkgutil
import re
import time
from typing import Dict, List, ... | [
2,
198,
2,
15069,
357,
66,
8,
25767,
669,
284,
262,
4946,
513,
35,
7117,
4935,
13,
198,
2,
1114,
1844,
6634,
290,
5964,
2846,
3387,
766,
262,
38559,
24290,
379,
262,
6808,
286,
428,
6082,
13,
198,
2,
198,
2,
30628,
55,
12,
34156... | 2.360197 | 1,824 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
range = getattr(__builtins__, 'xrange', range)
# end of py2 compatability boilerplate
import numpy as np
from matrixprofil... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
11593,
37443,
834,
... | 2.516854 | 1,335 |
import json
import re
from copy import copy
from logging import Formatter
from .profile import used_memory
from ..helper import colored
| [
11748,
33918,
198,
11748,
302,
198,
6738,
4866,
1330,
4866,
198,
6738,
18931,
1330,
5178,
1436,
198,
198,
6738,
764,
13317,
1330,
973,
62,
31673,
198,
6738,
11485,
2978,
525,
1330,
16396,
628,
628,
198
] | 4.028571 | 35 |
import sys
sys.setrecursionlimit(10000000)
input=lambda : sys.stdin.readline().rstrip()
n,x=map(int,input().split())
a=list(map(int,input().split()))
aa=list(filter(lambda b:b!=x,a))
print(*aa) | [
11748,
25064,
198,
17597,
13,
2617,
8344,
24197,
32374,
7,
16,
24598,
8,
198,
15414,
28,
50033,
1058,
25064,
13,
19282,
259,
13,
961,
1370,
22446,
81,
36311,
3419,
198,
198,
77,
11,
87,
28,
8899,
7,
600,
11,
15414,
22446,
35312,
289... | 2.455696 | 79 |
"""Streaming integration tests."""
# pylint:disable=no-self-use,invalid-name,too-many-arguments,too-few-public-methods,line-too-long
# pylint:disable=too-many-statements,too-many-locals,too-many-lines
import threading
import time
import json
from queue import Queue
from splitio.client.factory import get_factory
from te... | [
37811,
12124,
278,
11812,
5254,
526,
15931,
198,
2,
279,
2645,
600,
25,
40223,
28,
3919,
12,
944,
12,
1904,
11,
259,
12102,
12,
3672,
11,
18820,
12,
21834,
12,
853,
2886,
11,
18820,
12,
32146,
12,
11377,
12,
24396,
82,
11,
1370,
1... | 1.800431 | 3,247 |
import re
from abc import ABC, abstractmethod
from typing import Any, Dict, Generator
# class AbstractVenue(metaclass=ABC):
| [
11748,
302,
198,
6738,
450,
66,
1330,
9738,
11,
12531,
24396,
198,
6738,
19720,
1330,
4377,
11,
360,
713,
11,
35986,
628,
198,
198,
2,
1398,
27741,
37522,
518,
7,
4164,
330,
31172,
28,
24694,
2599,
198
] | 3.432432 | 37 |
# Copyright 2018 Johns Hopkins University. 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 appli... | [
2,
15069,
2864,
25824,
21183,
2059,
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,
... | 3.631455 | 426 |
from py65.devices import mpu6502
from py65.utils.devices import make_instruction_decorator
| [
6738,
12972,
2996,
13,
42034,
1330,
285,
19944,
17544,
17,
220,
198,
6738,
12972,
2996,
13,
26791,
13,
42034,
1330,
787,
62,
8625,
2762,
62,
12501,
273,
1352,
628
] | 3.206897 | 29 |
import pandas as pd
import shutil
import os
import io
from ms_mint.Mint import Mint
from pathlib import Path as P
from ms_mint.io import (
ms_file_to_df,
mzml_to_pandas_df_pyteomics,
convert_ms_file_to_feather,
convert_ms_file_to_parquet,
MZMLB_AVAILABLE,
)
from paths import (
TEST_MZML,
... | [
11748,
19798,
292,
355,
279,
67,
198,
11748,
4423,
346,
198,
11748,
28686,
198,
11748,
33245,
198,
198,
6738,
13845,
62,
34289,
13,
44,
600,
1330,
20873,
198,
198,
6738,
3108,
8019,
1330,
10644,
355,
350,
198,
198,
6738,
13845,
62,
34... | 2.043478 | 207 |
from django.core.files.storage import FileSystemStorage
from django.shortcuts import render, redirect
from core.forms import DocumentForm
from core.models import Document
from media import image_cv2
| [
6738,
42625,
14208,
13,
7295,
13,
16624,
13,
35350,
1330,
9220,
11964,
31425,
198,
6738,
42625,
14208,
13,
19509,
23779,
1330,
8543,
11,
18941,
198,
6738,
4755,
13,
23914,
1330,
16854,
8479,
198,
198,
6738,
4755,
13,
27530,
1330,
16854,
... | 4.06 | 50 |
from .helper import *
| [
6738,
764,
2978,
525,
1330,
1635,
628
] | 3.285714 | 7 |
import dask
import datetime
import logging
import time
import torch
import numpy as np
import pandas as pd
from collections import OrderedDict
from ml4chem.metrics import compute_rmse
from ml4chem.atomistic.models.base import DeepLearningModel, DeepLearningTrainer
from ml4chem.atomistic.models.loss import AtomicMSELos... | [
11748,
288,
2093,
198,
11748,
4818,
8079,
198,
11748,
18931,
198,
11748,
640,
198,
11748,
28034,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
17268,
1330,
14230,
1068,
35,
713,
198,
6738,
259... | 3.378378 | 185 |
#!/usr/bin/env python3
#
# MIT License
#
# Copyright (c) 2020-2022 EntySec
#
# 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... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
2,
198,
2,
17168,
13789,
198,
2,
198,
2,
15069,
357,
66,
8,
12131,
12,
1238,
1828,
7232,
88,
6558,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,... | 3.670455 | 352 |
from bluesky.plans import scan
from bluesky.simulators import (print_summary, print_summary_wrapper,
summarize_plan,
check_limits,
plot_raster_path)
import pytest
from bluesky.plans import grid_scan
| [
6738,
25570,
2584,
13,
489,
504,
1330,
9367,
198,
6738,
25570,
2584,
13,
14323,
24325,
1330,
357,
4798,
62,
49736,
11,
3601,
62,
49736,
62,
48553,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
... | 1.923077 | 156 |
import random
numbers_list = [1,2,3,4,5,6,7,8,9,10]
game_won = False
game_completed = False
#Stats
games_played = 0
games_won = 0
games_lost = 0
average_score = 0
total_score = 0
keep_playing = True
while keep_playing:
numbers_list = [1,2,3,4,5,6,7,8,9,10]
welcome()
roll_total = 0
while roll_total < 55... | [
11748,
4738,
198,
77,
17024,
62,
4868,
796,
685,
16,
11,
17,
11,
18,
11,
19,
11,
20,
11,
21,
11,
22,
11,
23,
11,
24,
11,
940,
60,
198,
6057,
62,
26502,
796,
10352,
198,
6057,
62,
785,
16838,
796,
10352,
198,
2,
29668,
198,
1... | 2.243243 | 629 |
import warnings
import pytest
from leapp.libraries.actor.systemfacts import get_selinux_status
from leapp.models import SELinuxFacts
no_selinux = False
try:
import selinux
except ImportError:
no_selinux = True
warnings.warn(
'Tests which uses `selinux` will be skipped'
' due to library un... | [
11748,
14601,
198,
198,
11748,
12972,
9288,
198,
198,
6738,
443,
1324,
13,
75,
11127,
13,
11218,
13,
10057,
37473,
1330,
651,
62,
741,
259,
2821,
62,
13376,
198,
6738,
443,
1324,
13,
27530,
1330,
311,
3698,
259,
2821,
37,
8656,
198,
... | 2.845238 | 168 |
"""
1. Write a Python program to reverse only the vowels of a given string.
Sample Output:
w3resuorce
Python
Perl
ASU
2. Write a Python program to check whether a given integer is a palindrome or not.
Note: An integer is a palindrome when it reads the same backward as forward. Negative numbers are not palindromic.
Sa... | [
37811,
198,
198,
16,
13,
19430,
257,
11361,
1430,
284,
9575,
691,
262,
23268,
1424,
286,
257,
1813,
4731,
13,
198,
36674,
25235,
25,
198,
86,
18,
411,
84,
8387,
198,
37906,
198,
5990,
75,
198,
1921,
52,
198,
198,
17,
13,
19430,
25... | 3.297092 | 791 |
# -*- coding: utf-8 -*-
"""
Microsoft-Windows-IPxlatCfg
GUID : 3e5ac668-af52-4c15-b99b-a3e7a6616ebd
"""
from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct
from etl.utils import WString, CString, SystemTime, Guid
from etl.dtyp import Sid
from etl.p... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
15905,
12,
11209,
12,
4061,
87,
15460,
34,
40616,
198,
38,
27586,
1058,
513,
68,
20,
330,
35809,
12,
1878,
4309,
12,
19,
66,
1314,
12,
65,
2079,
65,
12,
... | 2.394904 | 157 |
# -*- coding: utf-8 -*-
import os
from distutils.util import strtobool
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
28686,
198,
6738,
1233,
26791,
13,
22602,
1330,
965,
83,
672,
970,
628
] | 2.517241 | 29 |
# CHECK-TREE: { const <- \x -> \y -> x; y <- const #true #true; z <- const #false #false; #record { const: const, y : y, z: z, }}
const = lambda x, y: x
y = const(True, True)
z = const(False, False)
| [
2,
5870,
25171,
12,
51,
11587,
25,
1391,
1500,
24293,
3467,
87,
4613,
3467,
88,
4613,
2124,
26,
331,
24293,
1500,
1303,
7942,
1303,
7942,
26,
1976,
24293,
1500,
1303,
9562,
1303,
9562,
26,
1303,
22105,
1391,
1500,
25,
1500,
11,
331,
... | 2.551282 | 78 |
import tensorflow as tf
import os.path
import warnings
from distutils.version import LooseVersion
import glob
import helper
import project_tests as tests
#--------------------------
# USER-SPECIFIED DATA
#--------------------------
# Tune these parameters
NUMBER_OF_CLASSES = 2
IMAGE_SHAPE = (160, 576)
EPOCHS = 20
... | [
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
28686,
13,
6978,
198,
11748,
14601,
198,
6738,
1233,
26791,
13,
9641,
1330,
6706,
577,
14815,
198,
11748,
15095,
198,
198,
11748,
31904,
198,
11748,
1628,
62,
41989,
355,
5254,
198,
198,
... | 2.741205 | 3,354 |
# Copyright 2018 The Forseti Security 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 ap... | [
2,
15069,
2864,
383,
27325,
316,
72,
4765,
46665,
13,
1439,
2489,
10395,
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,
11... | 3.385787 | 394 |
import uuid
from config import USR_ORG_MONGO_COLLECTION, USR_MONGO_COLLECTION
import db
from models.response import post_error
import logging
log = logging.getLogger('file')
| [
11748,
334,
27112,
198,
6738,
4566,
1330,
1294,
49,
62,
1581,
38,
62,
27857,
11230,
62,
25154,
16779,
2849,
11,
1294,
49,
62,
27857,
11230,
62,
25154,
16779,
2849,
198,
11748,
20613,
220,
198,
6738,
4981,
13,
26209,
1330,
1281,
62,
18... | 3.034483 | 58 |
# Adapted from https://github.com/pybind/cmake_example/blob/master/setup.py
import os
import re
import sys
import platform
import subprocess
import importlib
from sysconfig import get_paths
import importlib
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
from setuptools.comma... | [
2,
30019,
276,
422,
3740,
1378,
12567,
13,
785,
14,
9078,
21653,
14,
11215,
539,
62,
20688,
14,
2436,
672,
14,
9866,
14,
40406,
13,
9078,
198,
11748,
28686,
198,
11748,
302,
198,
11748,
25064,
198,
11748,
3859,
198,
11748,
850,
14681,... | 2.769231 | 572 |
# validated: 2017-02-19 DS c5e3a8a9b642 roborio/java/navx_frc/src/com/kauailabs/navx/frc/RegisterIO.java
#----------------------------------------------------------------------------
# Copyright (c) Kauai Labs 2015. All Rights Reserved.
#
# Created in support of Team 2465 (Kauaibots). Go Purple Wave!
#
# Open Source S... | [
2,
31031,
25,
2177,
12,
2999,
12,
1129,
17400,
269,
20,
68,
18,
64,
23,
64,
24,
65,
41290,
686,
2865,
952,
14,
12355,
14,
28341,
87,
62,
69,
6015,
14,
10677,
14,
785,
14,
74,
559,
603,
8937,
14,
28341,
87,
14,
69,
6015,
14,
... | 3.47807 | 228 |
#pylint: disable=invalid-name
#pylint: disable=too-many-instance-attributes
#pylint: disable=too-many-return-statements
#pylint: disable=too-many-statements
"""
Class structure and methods for an oscilloscope channel.
The idea is to collect all the relevant information from all the Rigol
scope waveforms into a single ... | [
2,
79,
2645,
600,
25,
15560,
28,
259,
12102,
12,
3672,
198,
2,
79,
2645,
600,
25,
15560,
28,
18820,
12,
21834,
12,
39098,
12,
1078,
7657,
198,
2,
79,
2645,
600,
25,
15560,
28,
18820,
12,
21834,
12,
7783,
12,
14269,
3196,
198,
2,... | 2.572553 | 889 |
_base_ = '../faster_rcnn/faster_rcnn_x101_64x4d_fpn_1x_coco.py'
model = dict(
backbone=dict(
num_stages=4,
#frozen_stages=4
),
roi_head=dict(
bbox_head=dict(
num_classes=3
)
)
)
dataset_type = 'COCODataset'
classes = ('luchs', 'rotfuchs', 'wolf')
data = dict... | [
62,
8692,
62,
796,
705,
40720,
69,
1603,
62,
6015,
20471,
14,
69,
1603,
62,
6015,
20471,
62,
87,
8784,
62,
2414,
87,
19,
67,
62,
69,
21999,
62,
16,
87,
62,
66,
25634,
13,
9078,
6,
628,
198,
19849,
796,
8633,
7,
198,
198,
1891,... | 1.93578 | 763 |
from distutils.core import setup, Extension
setup(name = 'qconf_py', version = '1.2.2', ext_modules = [Extension('qconf_py', ['lib/python_qconf.cc'],
include_dirs=['/usr/local/include/qconf'],
extra_objects=['/usr/local/qconf/lib/libqconf.a']
)])
| [
6738,
1233,
26791,
13,
7295,
1330,
9058,
11,
27995,
198,
40406,
7,
3672,
796,
705,
80,
10414,
62,
9078,
3256,
2196,
796,
705,
16,
13,
17,
13,
17,
3256,
1070,
62,
18170,
796,
685,
11627,
3004,
10786,
80,
10414,
62,
9078,
3256,
37250,... | 2.40367 | 109 |
h = int(input())
i = 1
a = 1
b = 1
c = 1
while h >= a:
a = 2 ** i
i += 1
s = 0
t = True
for j in range(1, i-1):
c += 2 ** j
print(c)
| [
71,
796,
493,
7,
15414,
28955,
198,
72,
796,
352,
198,
64,
796,
352,
198,
65,
796,
352,
198,
66,
796,
352,
198,
198,
4514,
289,
18189,
257,
25,
198,
220,
220,
220,
257,
796,
362,
12429,
1312,
198,
220,
220,
220,
1312,
15853,
352... | 1.804878 | 82 |
# log_battery.py/Open GoPro, Version 2.0 (C) Copyright 2021 GoPro, Inc. (http://gopro.com/OpenGoPro).
# This copyright was auto-generated on Wed, Sep 1, 2021 5:05:45 PM
"""Example to continuously read the battery (with no Wifi connection)"""
import csv
import time
import logging
import argparse
import threading
fro... | [
2,
2604,
62,
65,
16296,
13,
9078,
14,
11505,
49789,
11,
10628,
362,
13,
15,
357,
34,
8,
15069,
33448,
49789,
11,
3457,
13,
357,
4023,
1378,
70,
404,
305,
13,
785,
14,
11505,
5247,
2964,
737,
198,
2,
770,
6634,
373,
8295,
12,
275... | 2.362324 | 2,702 |
# These are not the droids you are looking for. | [
2,
2312,
389,
407,
262,
3102,
2340,
345,
389,
2045,
329,
13
] | 3.916667 | 12 |
import os
import sys
import base64
from django.db.models import F, Q
from xos.config import Config
from observer.syncstep import SyncStep
from core.models import Service
from hpc.models import ServiceProvider, ContentProvider, CDNPrefix, OriginServer
from util.logger import Logger, logging
# hpclibrary will be in ste... | [
11748,
28686,
198,
11748,
25064,
198,
11748,
2779,
2414,
198,
198,
6738,
42625,
14208,
13,
9945,
13,
27530,
1330,
376,
11,
1195,
198,
6738,
2124,
418,
13,
11250,
1330,
17056,
198,
6738,
22890,
13,
27261,
9662,
1330,
35908,
8600,
198,
67... | 3.2 | 150 |
#!/usr/bin/env python3
from PIL import Image
if __name__ == '__main__':
main()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
6738,
350,
4146,
1330,
7412,
628,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 2.485714 | 35 |
"""Simple example to show how to use weave.inline on SWIG2 wrapped
objects. SWIG2 refers to SWIG versions >= 1.3.
To run this example you must build the trivial SWIG2 extension called
swig2_ext. To do this you need to do something like this::
$ swig -c++ -python -I. -o swig2_ext_wrap.cxx swig2_ext.i
$ g++ -Wall ... | [
37811,
26437,
1672,
284,
905,
703,
284,
779,
37982,
13,
45145,
319,
12672,
3528,
17,
12908,
198,
48205,
13,
220,
12672,
3528,
17,
10229,
284,
12672,
3528,
6300,
18189,
352,
13,
18,
13,
198,
198,
2514,
1057,
428,
1672,
345,
1276,
1382,... | 2.53125 | 608 |
from wolframclient.language.expression import WLSymbol
from nnDiff import *
if __name__ == "__main__":
exp = sys.argv[1:]
if exp == []:
exp = ["Sin", "x"]
res = map(str,simplify(exp))
print(' '.join(res), file=sys.stderr) | [
6738,
17481,
859,
16366,
13,
16129,
13,
38011,
1330,
370,
6561,
88,
23650,
198,
6738,
299,
77,
28813,
1330,
1635,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
220,
198,
220,
220,
220,
1... | 2.213675 | 117 |
from setuptools import setup
setup(
name='firetv',
version='1.0.7',
description='Communicate with an Amazon Fire TV device via ADB over a network.',
url='https://github.com/happyleavesaoc/python-firetv/',
license='MIT',
author='happyleaves',
author_email='happyleaves.tfr@gmail.com',
pac... | [
6738,
900,
37623,
10141,
1330,
9058,
198,
198,
40406,
7,
198,
220,
220,
220,
1438,
11639,
6495,
14981,
3256,
198,
220,
220,
220,
2196,
11639,
16,
13,
15,
13,
22,
3256,
198,
220,
220,
220,
6764,
11639,
30813,
5344,
351,
281,
6186,
37... | 2.358127 | 363 |
"""
neo.io have been split in 2 level API:
* neo.io: this API give neo object
* neo.rawio: this API give raw data as they are in files.
Developper are encourage to use neo.rawio.
When this is done the neo.io is done automagically with
this king of following code.
Author: sgarcia
"""
from neo.io.basefromrawio i... | [
37811,
198,
710,
78,
13,
952,
423,
587,
6626,
287,
362,
1241,
7824,
25,
198,
220,
1635,
19102,
13,
952,
25,
428,
7824,
1577,
19102,
2134,
198,
220,
1635,
19102,
13,
1831,
952,
25,
428,
7824,
1577,
8246,
1366,
355,
484,
389,
287,
3... | 3.120968 | 124 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
| [
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,
15720,
602,
11,
4981,
628
] | 2.891892 | 37 |
from django import forms
from django.utils.translation import gettext_lazy as _
COURSE_QUANTITY_CHOICES = [(i, str(i)) for i in range(1, 21)]
| [
6738,
42625,
14208,
1330,
5107,
198,
6738,
42625,
14208,
13,
26791,
13,
41519,
1330,
651,
5239,
62,
75,
12582,
355,
4808,
628,
198,
34,
11698,
5188,
62,
10917,
8643,
9050,
62,
44899,
34444,
796,
47527,
72,
11,
965,
7,
72,
4008,
329,
... | 2.843137 | 51 |
"""Datasets of latent predictability tasks.
"""
from .pilgrimm import *
| [
37811,
27354,
292,
1039,
286,
41270,
4331,
1799,
8861,
13,
198,
37811,
198,
198,
6738,
764,
79,
346,
2164,
8608,
1330,
1635,
198
] | 3.173913 | 23 |
#!/usr/bin/env python
# Copyright 2014 The Swarming Authors. All rights reserved.
# Use of this source code is governed by the Apache v2.0 license that can be
# found in the LICENSE file.
import sys
import unittest
import test_env
test_env.setup_test_env()
from google.appengine.ext import ndb
from components.datast... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
15069,
1946,
383,
2451,
18052,
46665,
13,
1439,
2489,
10395,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
21825,
416,
262,
24843,
410,
17,
13,
15,
5964,
326,
460,
307,
198,
2,
1... | 3.088608 | 158 |
# 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, software
# d... | [
2,
220,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
345,
743,
198,
2,
220,
220,
220,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
921,
743,
7330,
198,
2,
220,
220,
... | 2.504492 | 1,447 |
import re
import discord
from redbot.core import commands
| [
11748,
302,
198,
198,
11748,
36446,
198,
6738,
2266,
13645,
13,
7295,
1330,
9729,
628
] | 4 | 15 |
# -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making -(Bk-User) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
Yo... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
24893,
1087,
14573,
15708,
318,
10607,
284,
1104,
262,
1280,
2723,
2055,
416,
1642,
532,
7,
33,
74,
12,
12982,
8,
1695,
13,
198,
15269,
357,
34,
8,
2177,
... | 3.982063 | 223 |
import os
import numpy as np
import tensorflow as tf
from models_gqa.model import Model
from models_gqa.config import build_cfg_from_argparse
from util.gqa_train.data_reader import DataReader
import json
# Load config
cfg = build_cfg_from_argparse()
# Start session
os.environ["CUDA_VISIBLE_DEVICES"] = str(cfg.GPU_ID... | [
11748,
28686,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
198,
6738,
4981,
62,
70,
20402,
13,
19849,
1330,
9104,
198,
6738,
4981,
62,
70,
20402,
13,
11250,
1330,
1382,
62,
37581,
62,
6738,
62,
8... | 2.219954 | 2,155 |
from gamla import url_utils
| [
6738,
9106,
5031,
1330,
19016,
62,
26791,
628,
198
] | 3.333333 | 9 |
import numpy as np
from netCDF4 import Dataset
# Import development version of roppy
import sys
sys.path = ['..'] + sys.path
import roppy
# --- EDIT -----------------
# ROMS file
romsfile = 'data/ocean_avg_example.nc'
# Section definition
lon0, lat0 = -0.67, 60.75 # Shetland
lon1, lat1 = 4.72, 60.75 # Feie
# --... | [
11748,
299,
32152,
355,
45941,
198,
6738,
2010,
34,
8068,
19,
1330,
16092,
292,
316,
198,
198,
2,
17267,
2478,
2196,
286,
686,
14097,
198,
11748,
25064,
198,
17597,
13,
6978,
796,
37250,
492,
20520,
1343,
25064,
13,
6978,
198,
11748,
... | 2.55 | 420 |
#!/usr/bin/env python3
"""
example of 3D scalar field
If you get this error, ParaView doesn't know your data file format:
TypeError: TestFileReadability argument %Id: %V
"""
from pathlib import Path
import argparse
import paraview.simple as pvs
p = argparse.ArgumentParser()
p.add_argument("fn", help="data file to l... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
37811,
198,
20688,
286,
513,
35,
16578,
283,
2214,
198,
198,
1532,
345,
651,
428,
4049,
11,
2547,
64,
7680,
1595,
470,
760,
534,
1366,
2393,
5794,
25,
198,
6030,
12331,
25,
6208,... | 2.852941 | 170 |
from django import forms
from ...models import Language
| [
6738,
42625,
14208,
1330,
5107,
198,
198,
6738,
2644,
27530,
1330,
15417,
628
] | 4.461538 | 13 |
from django import forms
from .models import *
from server.models import *
| [
6738,
42625,
14208,
1330,
5107,
198,
198,
6738,
764,
27530,
1330,
1635,
198,
6738,
4382,
13,
27530,
1330,
1635,
198
] | 3.8 | 20 |
#
# PySNMP MIB module InternetThruway-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/InternetThruway-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:58:27 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... | [
2,
198,
2,
9485,
15571,
7378,
337,
9865,
8265,
4455,
817,
622,
1014,
12,
8895,
33,
357,
4023,
1378,
16184,
76,
489,
8937,
13,
785,
14,
79,
893,
11632,
8,
198,
2,
7054,
45,
13,
16,
2723,
2393,
1378,
14,
14490,
14,
67,
615,
47562,... | 2.946724 | 52,913 |
from bs4 import BeautifulSoup as bs
import requests
parsed = BBC("https://www.bbc.co.uk/news/world-europe-49345912")
#print(parsed.title)
#print(parsed.link)
#print(parsed.author)
#print(parsed.date)
#print(parsed.title)
#print(parsed.body)
#print(parsed.images)
#print(parsed.body)
| [
6738,
275,
82,
19,
1330,
23762,
50,
10486,
355,
275,
82,
198,
11748,
7007,
220,
198,
197,
197,
198,
79,
945,
276,
796,
7823,
7203,
5450,
1378,
2503,
13,
11848,
66,
13,
1073,
13,
2724,
14,
10827,
14,
6894,
12,
44252,
431,
12,
2920,... | 2.186567 | 134 |
# In[42]:
from scipy.integrate import odeint
import numpy as np
import matplotlib.pyplot as plt
# In[43]:
# describe the model
# In[44]:
# describe the parameters
N = 2283 #Totala befolkningen N=s(t)+I(t)+R(t)
D = 4.0 #infections last four days
gamma = 1.0 / D #Reoval rate (Hur mnga som tillfrisknar)
delta =... | [
2,
554,
58,
3682,
5974,
628,
198,
6738,
629,
541,
88,
13,
18908,
4873,
1330,
267,
2934,
600,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
628,
198,
2,
554,
58,
3559,
5974,
628,
... | 2.351598 | 438 |
pregunta = input('trabajas desde casa? ')
if pregunta == True:
print 'Eres afortunado'
if pregunta == False:
print 'Trabajas fuera de casa'
tiempo = input('Cuantos minutos haces al trabajo: ')
if tiempo == 0:
print 'trabajas desde casa'
elif tiempo <=20:
print 'Es po... | [
79,
2301,
44424,
796,
5128,
10786,
2213,
397,
1228,
292,
748,
2934,
6124,
64,
30,
705,
8,
201,
198,
201,
198,
361,
662,
70,
44424,
6624,
6407,
25,
201,
198,
220,
220,
220,
3601,
705,
36,
411,
6580,
1922,
4533,
6,
201,
198,
201,
... | 1.957983 | 238 |
import logging
import re
from urllib.parse import urlparse
from django.conf import settings
from django.utils.cache import add_never_cache_headers
from django.utils.cache import patch_cache_control
from django.utils.cache import patch_response_headers
logger = logging.getLogger(__name__)
STAC_BASE = settings.STAC_BA... | [
11748,
18931,
198,
11748,
302,
198,
6738,
2956,
297,
571,
13,
29572,
1330,
19016,
29572,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
26791,
13,
23870,
1330,
751,
62,
12081,
62,
23870,
62,
50145,
198... | 3.068376 | 117 |
# author huangchuanhong
import torch
from mmcv.runner import load_checkpoint
from ..base import BaseDetector
from ..single_stage import SingleStageDetector
from ...registry import DETECTORS
from ...builder import build_detector
| [
2,
1772,
289,
84,
648,
354,
7258,
71,
506,
198,
11748,
28034,
198,
6738,
8085,
33967,
13,
16737,
1330,
3440,
62,
9122,
4122,
198,
6738,
11485,
8692,
1330,
7308,
11242,
9250,
198,
6738,
11485,
29762,
62,
14247,
1330,
14206,
29391,
11242,... | 3.754098 | 61 |
import numpy as np
from gym.spaces import Box
from metaworld.envs import reward_utils
from metaworld.envs.asset_path_utils import full_v2_path_for
from metaworld.envs.mujoco.sawyer_xyz.sawyer_xyz_env import SawyerXYZEnv, _assert_task_is_set
| [
11748,
299,
32152,
355,
45941,
198,
6738,
11550,
13,
2777,
2114,
1330,
8315,
198,
198,
6738,
1138,
707,
1764,
13,
268,
14259,
1330,
6721,
62,
26791,
198,
6738,
1138,
707,
1764,
13,
268,
14259,
13,
562,
316,
62,
6978,
62,
26791,
1330,
... | 2.641304 | 92 |
#!/usr/bin/env python
import sys
import logging
import os
logging.basicConfig(stream=sys.stderr)
file_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(0, file_dir)
from main import app as application
from main import db
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
25064,
198,
11748,
18931,
198,
11748,
28686,
198,
6404,
2667,
13,
35487,
16934,
7,
5532,
28,
17597,
13,
301,
1082,
81,
8,
198,
7753,
62,
15908,
796,
28686,
13,
6978,
13,
15908,
... | 2.925926 | 81 |
from yezdi.lexer.token import TokenType
from yezdi.parser.ast import Program, Statement, Participant, Title, LineStatement
| [
6738,
331,
8471,
10989,
13,
2588,
263,
13,
30001,
1330,
29130,
6030,
198,
6738,
331,
8471,
10989,
13,
48610,
13,
459,
1330,
6118,
11,
21983,
11,
29880,
11,
11851,
11,
6910,
48682,
628,
198
] | 3.676471 | 34 |
# list categories in category folder
from os import walk
from os.path import abspath,join, pardir
categories_folder = abspath(join(__file__,pardir,pardir,"category"))
post_folder = abspath(join(__file__,pardir,pardir,"_posts"))
site_categories = []
for root,directories,files in walk(categories_folder):
for f in ... | [
2,
1351,
9376,
287,
6536,
9483,
198,
198,
6738,
28686,
1330,
2513,
198,
6738,
28686,
13,
6978,
1330,
2352,
6978,
11,
22179,
11,
41746,
343,
198,
198,
66,
26129,
62,
43551,
796,
2352,
6978,
7,
22179,
7,
834,
7753,
834,
11,
26037,
343... | 2.083333 | 504 |
#!/usr/bin/env python3
""" builds documentation files from multimarkdown (mmd) source
to various formats, including the web site and pdf.
"""
import subprocess
import glob
import os
import sys
import time
import shutil
src = [
"intro.mmd",
"downloads.mmd",
"quickstart.mmd",
"faq.mmd",
"dirstr... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
37811,
12188,
10314,
3696,
422,
43104,
668,
2902,
357,
3020,
67,
8,
2723,
198,
220,
220,
220,
284,
2972,
17519,
11,
1390,
262,
3992,
2524,
290,
37124,
13,
198,
37811,
198,
198,
1... | 2.187397 | 2,428 |
VTABLE(_Main) {
<empty>
Main
_Main.COPY;
}
VTABLE(_Base) {
<empty>
Base
_Base.COPY;
}
VTABLE(_Sub1) {
_Base
Sub1
_Sub1.COPY;
}
VTABLE(_Sub2) {
_Base
Sub2
_Sub2.COPY;
}
VTABLE(_Sub3) {
_Sub1
Sub3
_Sub3.COPY;
}
VTABLE(_Sub4) {
_Sub3
Sub4
_Sub4.C... | [
53,
38148,
28264,
13383,
8,
1391,
198,
220,
220,
220,
1279,
28920,
29,
198,
220,
220,
220,
8774,
198,
220,
220,
220,
4808,
13383,
13,
34,
3185,
56,
26,
198,
92,
198,
198,
53,
38148,
28264,
14881,
8,
1391,
198,
220,
220,
220,
1279,... | 1.700524 | 2,865 |
#
# Copyright 2019 The FATE 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 appli... | [
2,
198,
2,
220,
15069,
13130,
383,
376,
6158,
46665,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,
345,
743,
407,
779,
428,
2393,
... | 3.650888 | 169 |
"""
sentry.options.defaults
~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2014 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import, print_function
from sentry.logging import LoggingFormat
from sentry.options import (
FLAG_IMMUTAB... | [
37811,
198,
82,
13000,
13,
25811,
13,
12286,
82,
198,
27156,
8728,
4907,
93,
198,
198,
25,
22163,
4766,
25,
357,
66,
8,
3050,
12,
4967,
416,
262,
11352,
563,
4816,
11,
766,
37195,
20673,
329,
517,
3307,
13,
198,
25,
43085,
25,
347... | 2.549258 | 1,482 |
"""Download `Unicodedata` files."""
from __future__ import unicode_literals
import os
import zipfile
import codecs
from urllib.request import urlopen
__version__ = '2.2.0'
HOME = os.path.dirname(os.path.abspath(__file__))
def zip_unicode(output, version):
"""Zip the Unicode files."""
zipper = zipfile.ZipFi... | [
37811,
10002,
4600,
3118,
291,
9043,
1045,
63,
3696,
526,
15931,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
11748,
28686,
198,
11748,
19974,
7753,
198,
11748,
40481,
82,
198,
6738,
2956,
297,
571,
13,
25927,
1... | 2.299722 | 2,162 |
# See LICENSE for licensing information.
#
# Copyright (c) 2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
import debug
import datetime
from policy import assoc... | [
2,
4091,
38559,
24290,
329,
15665,
1321,
13,
198,
2,
198,
2,
15069,
357,
66,
8,
33448,
3310,
658,
286,
262,
2059,
286,
3442,
290,
383,
5926,
198,
2,
286,
3310,
658,
329,
262,
10433,
36694,
290,
19663,
5535,
198,
2,
357,
27362,
329... | 4.305882 | 85 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Shilin He'
import pandas as pd
import os
import numpy as np
def hdfs_data_loader(para):
""" load the log sequence matrix and labels from the file path.
Args:
--------
para: the parameters dictionary
Returns:
--------
raw_data: log sequences matrix... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
834,
9800,
834,
796,
705,
2484,
346,
259,
679,
6,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
28686,
198,
... | 2.70113 | 4,246 |
from __future__ import print_function
import re, sys, glob, getopt, os
if __name__ == '__main__':
main()
| [
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
11748,
302,
11,
25064,
11,
15095,
11,
651,
8738,
11,
28686,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
22... | 2.510638 | 47 |
"""Tests of selected stdlib functions."""
from pytype.tests import test_base
test_base.main(globals(), __name__ == "__main__")
| [
37811,
51,
3558,
286,
6163,
14367,
8019,
5499,
526,
15931,
198,
198,
6738,
12972,
4906,
13,
41989,
1330,
1332,
62,
8692,
628,
198,
198,
9288,
62,
8692,
13,
12417,
7,
4743,
672,
874,
22784,
11593,
3672,
834,
6624,
366,
834,
12417,
834,... | 2.977273 | 44 |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 20 16:04:52 2020
@author: rjovelin
"""
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
30030,
2556,
1160,
1467,
25,
3023,
25,
4309,
12131,
198,
198,
31,
9800,
25,
374,
7639,
626,
259,
198,
37811,
628
] | 2.25641 | 39 |
import random
from datetime import datetime
from passlib.handlers.sha2_crypt import sha256_crypt
from pymongo import MongoClient
from pymongo.errors import ConnectionFailure
from tarentsocialwall.SocialPost import SocialPost
from tarentsocialwall.User import User
from tarentsocialwall.Util import Util
| [
11748,
4738,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
6738,
1208,
8019,
13,
4993,
8116,
13,
26270,
17,
62,
29609,
1330,
427,
64,
11645,
62,
29609,
198,
6738,
279,
4948,
25162,
1330,
42591,
11792,
198,
6738,
279,
4948,
25162,
... | 3.731707 | 82 |
#!/usr/bin/env python
#
# Copyright 2017-2018 Amazon.com, Inc. and its affiliates. All Rights Reserved.
#
# Licensed under the MIT License. See the LICENSE accompanying this file
# for the specific language governing permissions and limitations under
# the License.
#
#
# Copy this script to /sbin/mount.efs and make sur... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
198,
2,
15069,
2177,
12,
7908,
6186,
13,
785,
11,
3457,
13,
290,
663,
29116,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
739,
262,
17168,
13789,
13,
4091,
262,
38559,
2429... | 2.442356 | 8,778 |
import discord
from discord.ext import commands
from discord.utils import get | [
11748,
36446,
198,
6738,
36446,
13,
2302,
1330,
9729,
198,
6738,
36446,
13,
26791,
1330,
651
] | 4.8125 | 16 |
"""
This script is where the preprocessed data is used to train the SVM model to
perform the classification. I am using Stratified K-Fold Cross Validation to
prevent bias and/or any imbalance that could affect the model's accuracy.
REFERENCE: https://medium.com/@bedigunjit/simple-guide-to-text-classification-nlp-usin... | [
37811,
198,
1212,
4226,
318,
810,
262,
662,
14681,
276,
1366,
318,
973,
284,
4512,
262,
311,
15996,
2746,
284,
198,
525,
687,
262,
17923,
13,
314,
716,
1262,
29186,
1431,
509,
12,
37,
727,
6372,
3254,
24765,
284,
220,
198,
3866,
115... | 2.730769 | 962 |
from rsterm import EntryPoint
from red_dwarf.project import provide_project_context, ProjectContext
| [
6738,
374,
1706,
76,
1330,
21617,
12727,
198,
6738,
2266,
62,
67,
5767,
69,
13,
16302,
1330,
2148,
62,
16302,
62,
22866,
11,
4935,
21947,
628,
198
] | 3.777778 | 27 |
#! /usr/bin/env python
# Copyright Ivan Sovic, 2015. www.sovic.org
#
# Creates a pileup from a given SAM/BAM file, and calls consensus bases (or variants).
import os
import sys
import operator
import subprocess
if __name__ == "__main__":
# if (len(sys.argv) < 5):
# sys.stderr.write('Usage:\n');
# ... | [
2,
0,
1220,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
2,
15069,
21798,
6917,
291,
11,
1853,
13,
7324,
13,
568,
25531,
13,
2398,
198,
2,
198,
2,
7921,
274,
257,
14540,
929,
422,
257,
1813,
28844,
14,
33,
2390,
2393,
11,
290,
3... | 2.215584 | 770 |
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
29113,
29113,
7804,
4242,
2235,
198,
2,
198,
2,
220,
220,
220,
4946,
1137,
47,
11,
4946,
8090,
8549,
28186,
198,
2,
220,
220,
220,
15069,
357,
34,
8,
5472,
12,
10333... | 3.518868 | 318 |
# -*- coding: utf-8 -*-
# Copyright (c) 2015 David R. Andersen
#
# 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, m... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
15069,
357,
66,
8,
1853,
3271,
371,
13,
42356,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
198,
2,
... | 3.708709 | 333 |
from rest_framework.response import Response
from rest_framework.test import APIClient
from game.models import GameDefinition, AppUser
| [
6738,
1334,
62,
30604,
13,
26209,
1330,
18261,
198,
6738,
1334,
62,
30604,
13,
9288,
1330,
3486,
2149,
75,
1153,
198,
198,
6738,
983,
13,
27530,
1330,
3776,
36621,
11,
2034,
12982,
628,
628,
628,
198
] | 3.944444 | 36 |
# 2. Repeat Strings
# Write a Program That Reads a list of strings. Each string is repeated N times, where N is the length of the string. Print the concatenated string.
strings = input().split()
output_string = ""
for string in strings:
N = len(string)
output_string += string * N
print(output_string)
| [
2,
362,
13,
197,
40322,
4285,
654,
198,
2,
19430,
257,
6118,
1320,
4149,
82,
257,
1351,
286,
13042,
13,
5501,
4731,
318,
5100,
399,
1661,
11,
810,
399,
318,
262,
4129,
286,
262,
4731,
13,
12578,
262,
1673,
36686,
515,
4731,
13,
19... | 3.315789 | 95 |
from cklib.args import get_arg_parser, ArgumentParser
from cloudkeeper_plugin_cleanup_aws_loadbalancers import CleanupAWSLoadbalancersPlugin
| [
6738,
269,
74,
8019,
13,
22046,
1330,
651,
62,
853,
62,
48610,
11,
45751,
46677,
198,
6738,
6279,
13884,
62,
33803,
62,
27773,
929,
62,
8356,
62,
2220,
6893,
20811,
1330,
5985,
929,
12298,
8634,
1170,
6893,
20811,
37233,
628
] | 3.55 | 40 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-09-17 06:45
from __future__ import unicode_literals
from django.db import migrations, models
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2980,
515,
416,
37770,
352,
13,
1157,
13,
1157,
319,
2864,
12,
2931,
12,
1558,
9130,
25,
2231,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,... | 2.754386 | 57 |
N, M, V = map(int, input().strip().split())
visited = [False] * (N + 1)
graph = [[] for _ in range(N + 1)]
for i in range(M):
a, b = map(int, input().strip().split())
graph[a].append(b)
graph[b].append(a)
for i in range(1, N + 1):
graph[i].sort()
dfs(V)
visited = [False] * (N + 1)
print()
bfs(V)
| [
628,
198,
198,
45,
11,
337,
11,
569,
796,
3975,
7,
600,
11,
5128,
22446,
36311,
22446,
35312,
28955,
198,
4703,
863,
796,
685,
25101,
60,
1635,
357,
45,
1343,
352,
8,
198,
198,
34960,
796,
16410,
60,
329,
4808,
287,
2837,
7,
45,
... | 2.133333 | 150 |
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
__author__ = "Artem Vovk, Roland Kluge, and Christian Kirschner"
__copyright__ = "Copyright 2013-2015 UKP TU Darmstadt"
__credits__ = ["Artem Vovk", "Roland Kluge", "Christian Kirschner"]
__license__ = "ASL"
application... | [
6738,
23645,
13,
1324,
18392,
13,
2302,
1330,
3992,
1324,
198,
6738,
23645,
13,
1324,
18392,
13,
2302,
13,
12384,
1324,
13,
22602,
1330,
1057,
62,
18504,
12397,
62,
1324,
198,
198,
834,
9800,
834,
796,
366,
8001,
368,
569,
709,
74,
... | 2.677019 | 161 |
"""
Augmenters that apply mirroring/flipping operations to images.
Do not import directly from this file, as the categorization is not final.
Use instead ::
from imgaug import augmenters as iaa
and then e.g. ::
seq = iaa.Sequential([
iaa.Fliplr((0.0, 1.0)),
iaa.Flipud((0.0, 1.0))
])
Lis... | [
37811,
198,
12512,
434,
364,
326,
4174,
10162,
278,
14,
2704,
4501,
4560,
284,
4263,
13,
198,
198,
5211,
407,
1330,
3264,
422,
428,
2393,
11,
355,
262,
17851,
1634,
318,
407,
2457,
13,
198,
11041,
2427,
7904,
628,
220,
220,
220,
422... | 2.695 | 200 |
# Time Complexity - O(n) ; Space Complexity - O(n) | [
2,
3862,
19157,
414,
532,
440,
7,
77,
8,
2162,
4687,
19157,
414,
532,
440,
7,
77,
8
] | 2.777778 | 18 |
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from gpflow.kernels import White, RBF
from gpflow.likelihoods import Gaussian
from deep_gp import DeepGP
np.random.seed(0)
tf.random.set_seed(0)
if __name__ == '__main__':
Xs, X_train, Y_train, Z = get_data()
dgp = make_deep_GP(3, ... | [
11748,
299,
32152,
355,
45941,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
6738,
27809,
11125,
13,
74,
44930,
1330,
2635,
11,
17986,
37,
198,
6738,
27809,
11125,
13,
2339... | 2.25054 | 463 |
from __future__ import annotations
import json
import logging
from contextlib import contextmanager, ExitStack
from typing import List, Dict
import pandas as pd
from lithops.storage import Storage
from lithops.storage.utils import CloudObject, StorageNoSuchKeyError
from sm.engine.annotation_lithops.build_moldb impor... | [
6738,
11593,
37443,
834,
1330,
37647,
198,
198,
11748,
33918,
198,
11748,
18931,
198,
6738,
4732,
8019,
1330,
4732,
37153,
11,
29739,
25896,
198,
6738,
19720,
1330,
7343,
11,
360,
713,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
673... | 2.894081 | 321 |
from PyQt5.QtWidgets import QMenu
from gui.main_window.node_editor.items.connector_item import ConnectorItem
| [
6738,
9485,
48,
83,
20,
13,
48,
83,
54,
312,
11407,
1330,
1195,
23381,
198,
198,
6738,
11774,
13,
12417,
62,
17497,
13,
17440,
62,
35352,
13,
23814,
13,
8443,
273,
62,
9186,
1330,
8113,
273,
7449,
628
] | 2.921053 | 38 |