content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
"""
View decorators
---------------
Decorators for view handlers.
All items in this module can be imported directly from :mod:`coaster.views`.
"""
from functools import wraps
from flask import (
Response,
abort,
current_app,
g,
jsonify,
make_response,
redirect,
render_template,
r... | [
37811,
198,
7680,
11705,
2024,
198,
24305,
198,
198,
10707,
273,
2024,
329,
1570,
32847,
13,
198,
198,
3237,
3709,
287,
428,
8265,
460,
307,
17392,
3264,
422,
1058,
4666,
25,
63,
1073,
1603,
13,
33571,
44646,
198,
37811,
198,
198,
673... | 2.701052 | 5,419 |
#!/usr/bin/env python3
# coding:utf-8
if __name__ == "__main__":
s = Solution()
print(s.Power(2, 0))
print(s.Power(0, 2))
print(s.Power(3.5, 2))
print(s.Power(3.5, -2))
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
19617,
25,
40477,
12,
23,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
264,
796,
28186,
3419,
198,
220,
220,
220,
3601,
7,
82,... | 1.939394 | 99 |
# -*- coding : utf-8-*-
import abc
from enum import Enum
class StructTemplate(metaclass=abc.ABCMeta):
"""
构造物模板的基类
"""
@abc.abstractmethod
def _register_kwd(self):
"""
注册参数的抽象方法, 构造函数调用一次, 子类定义中需实现. 已注册的参数可以在构造函数中使用.
Returns:
"""
pass
@abc.abstrac... | [
2,
532,
9,
12,
19617,
1058,
3384,
69,
12,
23,
12,
9,
12,
198,
11748,
450,
66,
198,
6738,
33829,
1330,
2039,
388,
628,
198,
198,
4871,
32112,
30800,
7,
4164,
330,
31172,
28,
39305,
13,
24694,
48526,
2599,
198,
220,
220,
220,
37227,... | 1.363354 | 322 |
from descarteslabs.client.exceptions import * # noqa
| [
6738,
1715,
433,
274,
75,
8937,
13,
16366,
13,
1069,
11755,
1330,
1635,
220,
1303,
645,
20402,
198
] | 3 | 18 |
board = []
for loop in range(0, 5):
treta = ["O"] * 5
board.append(treta)
print(board)
| [
3526,
796,
17635,
198,
198,
1640,
9052,
287,
2837,
7,
15,
11,
642,
2599,
198,
220,
220,
220,
256,
1186,
64,
796,
14631,
46,
8973,
1635,
642,
198,
220,
220,
220,
3096,
13,
33295,
7,
83,
1186,
64,
8,
198,
220,
220,
220,
3601,
7,
... | 2.083333 | 48 |
from .version import __version__ as version | [
6738,
764,
9641,
1330,
11593,
9641,
834,
355,
2196
] | 4.777778 | 9 |
import time
import board
import keypad
import usb_hid
import neopixel
from adafruit_led_animation.animation.pulse import Pulse
from adafruit_led_animation.animation.solid import Solid
from adafruit_led_animation.animation.blink import Blink
from adafruit_led_animation.group import AnimationGroup
from adafruit_led_anima... | [
11748,
640,
198,
11748,
3096,
198,
11748,
1994,
15636,
198,
11748,
38551,
62,
49675,
198,
11748,
497,
404,
7168,
198,
6738,
512,
1878,
4872,
62,
992,
62,
11227,
341,
13,
11227,
341,
13,
79,
9615,
1330,
25062,
198,
6738,
512,
1878,
487... | 2.255994 | 2,836 |
#!/usr/bin/python
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import contextlib
import os
import shutil
import tempfile
@contextlib.contextmanager
def TempDeploymentDir(paths, use_symlinks=True):
"... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
15069,
1853,
383,
18255,
1505,
46665,
13,
1439,
2489,
10395,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
21825,
416,
257,
347,
10305,
12,
7635,
5964,
326,
460,
307,
198,
2,
1043,
287,
... | 3.003289 | 304 |
from functools import cache
if __name__ == '__main__':
print(numsSameConsecDiff(8, 1))
| [
6738,
1257,
310,
10141,
1330,
12940,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
3601,
7,
77,
5700,
30556,
3103,
2363,
28813,
7,
23,
11,
352,
4008,
198
] | 2.540541 | 37 |
import itertools
import json
from math import inf
import rtree as rtree
from pymunk import Vec2d
from k_road.builder.road_builder import RoadBuilder
from k_road.constants import Constants
from k_road.entity import entity_factory
from k_road.entity.entity_type import EntityType
# ------------------------------------... | [
11748,
340,
861,
10141,
198,
11748,
33918,
198,
6738,
10688,
1330,
1167,
198,
198,
11748,
374,
21048,
355,
374,
21048,
198,
6738,
279,
4948,
2954,
1330,
38692,
17,
67,
198,
198,
6738,
479,
62,
6344,
13,
38272,
13,
6344,
62,
38272,
133... | 3.84 | 150 |
#!/usr/bin/python
import sys
import logging
logging.basicConfig(stream=sys.stderr)
sys.path.insert(0,"/var/www/vhosts/maildash.iccenter.org/")
from maildash import app as application
application.secret_key = 'development-key'
| [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
11748,
25064,
198,
11748,
18931,
198,
6404,
2667,
13,
35487,
16934,
7,
5532,
28,
17597,
13,
301,
1082,
81,
8,
198,
17597,
13,
6978,
13,
28463,
7,
15,
553,
14,
7785,
14,
2503,
14,
85,
4774... | 2.873418 | 79 |
import os, glob
from fabric.api import env, sudo, run, cd, local, put, prefix, roles, execute, task, get
from fabric.api import settings as fab_settings
from fabric.context_managers import settings, hide
from fabric.contrib.files import sed
from subprocess import Popen, PIPE
import datetime
from utils import _build_en... | [
11748,
28686,
11,
15095,
198,
6738,
9664,
13,
15042,
1330,
17365,
11,
21061,
11,
1057,
11,
22927,
11,
1957,
11,
1234,
11,
21231,
11,
9176,
11,
12260,
11,
4876,
11,
651,
198,
6738,
9664,
13,
15042,
1330,
6460,
355,
7843,
62,
33692,
1... | 2.838442 | 1,207 |
for _ in range(6):
sauter()
avancer()
avancer()
gauche()
for _ in range(2):
avancer()
for _ in range(9):
coup()
avancer()
avancer()
ouvrir()
| [
1640,
4808,
287,
2837,
7,
21,
2599,
198,
197,
82,
2306,
263,
3419,
198,
197,
615,
8250,
3419,
198,
615,
8250,
3419,
198,
70,
559,
2395,
3419,
198,
1640,
4808,
287,
2837,
7,
17,
2599,
198,
197,
615,
8250,
3419,
198,
1640,
4808,
287... | 2.147059 | 68 |
import cv2
import tensorflow as tf
import numpy as np
import glob
import os
import time
import argparse
import configparser
from auto_pose.ae import factory, utils
parser = argparse.ArgumentParser()
parser.add_argument("experiment_name")
parser.add_argument("-f", "--file_str", required=True, help='folder or filena... | [
198,
11748,
269,
85,
17,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
15095,
198,
11748,
28686,
198,
11748,
640,
198,
11748,
1822,
29572,
198,
11748,
4566,
48610,
198,
198,
6738,
8295,
62,
3... | 2.508591 | 873 |
# -*- coding: utf-8 -*-
"""
Collection of functions that perform different types of parsing
"""
__author__ = "Brian Connelly <bdc@bconnelly.net>"
__credits__ = "Brian Connelly"
import re
from seeds.SEEDSError import *
def parse_int_rangelist(s, sorted=False):
"""Parse a list of numeric ranges. These lists are... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
36307,
286,
5499,
326,
1620,
1180,
3858,
286,
32096,
198,
37811,
198,
198,
834,
9800,
834,
796,
366,
24761,
20776,
6148,
1279,
17457,
66,
31,
65,
37043,
6148... | 2.188472 | 1,093 |
#!/usr/bin/env python3
import contextlib
import os
import random
import socket
import string
import subprocess
import time
import unittest
@contextlib.contextmanager
class SmokeTest(unittest.TestCase):
'''High level smoke tests for the library.
These should be run via ninja smoke from your meson build ... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
4732,
8019,
198,
11748,
28686,
198,
11748,
4738,
198,
11748,
17802,
198,
11748,
4731,
198,
11748,
850,
14681,
198,
11748,
640,
198,
11748,
555,
715,
395,
628,
198,
198,
... | 3.180328 | 122 |
from __future__ import print_function
import argparse
import glob
import os
if __name__ == '__main__':
main()
| [
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
11748,
1822,
29572,
198,
11748,
15095,
198,
11748,
28686,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 3.025641 | 39 |
import math
from functools import reduce, wraps
from typing import Callable, List, Union, Optional
from toolz import groupby
import pandas as pd
from funcy import lmapcat
try:
from tqdm.autonotebook import tqdm
except ImportError:
_has_tqdm = False
tqdm = None
else:
_has_tqdm = True
def rename_keys(... | [
11748,
10688,
198,
6738,
1257,
310,
10141,
1330,
4646,
11,
27521,
198,
6738,
19720,
1330,
4889,
540,
11,
7343,
11,
4479,
11,
32233,
198,
6738,
2891,
89,
1330,
1448,
1525,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
1257,
948... | 2.52292 | 1,178 |
#!/usr/bin/env python3
import asyncio
import discord
import logging
import json
import random
logger = logging.getLogger('spookbot')
logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename='spookbot.log', mode='w', encoding='utf-8')
handler.setFormatter(logging.Formatter('%(asctime)s:%(levelname)s:%(name... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
30351,
952,
198,
11748,
36446,
198,
11748,
18931,
198,
11748,
33918,
198,
11748,
4738,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
10786,
2777,
566,
13645,
1... | 2.699605 | 253 |
from threading import Timer
import mido
import time
from singleton import Singleton
from activelayer import ActiveLayer, ActiveLayerIdentifier
| [
6738,
4704,
278,
1330,
5045,
263,
198,
11748,
3095,
78,
198,
11748,
640,
198,
198,
6738,
2060,
1122,
1330,
5573,
10565,
198,
6738,
4075,
29289,
1330,
14199,
49925,
11,
14199,
49925,
33234,
7483,
628,
198
] | 4.171429 | 35 |
# coding: utf-8
import time
import pickle
import socket
import random
import logging
import argparse
import configparser
import threading
from utils import contains_successor
from queue import Queue
##############################################NODE DISCOVERY##############################################
# M... | [
2,
19617,
25,
3384,
69,
12,
23,
198,
198,
11748,
640,
198,
11748,
2298,
293,
198,
11748,
17802,
198,
11748,
4738,
198,
11748,
18931,
198,
11748,
1822,
29572,
198,
11748,
4566,
48610,
198,
11748,
4704,
278,
198,
6738,
3384,
4487,
1330,
... | 3.092593 | 486 |
import os
import numpy as np
from protoclass.preprocessing import StandardTimeNormalization
path_root = '/data/prostate/pre-processing/lemaitre-2016-nov/norm-objects'
shift_patient = []
# We have to open each npy file
for root, dirs, files in os.walk(path_root):
# Create the string for the file to read
f... | [
11748,
28686,
198,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
1237,
420,
31172,
13,
3866,
36948,
1330,
8997,
7575,
26447,
1634,
198,
198,
6978,
62,
15763,
796,
31051,
7890,
14,
1676,
5219,
14,
3866,
12,
36948,
14,
293,
2611,
... | 2.8375 | 240 |
# Generated by Django 2.0.3 on 2018-03-30 22:28
import ckeditor.fields
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
362,
13,
15,
13,
18,
319,
2864,
12,
3070,
12,
1270,
2534,
25,
2078,
198,
198,
11748,
269,
9091,
2072,
13,
25747,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.923077 | 39 |
end
print max(-1,-2) # = -1
print max(1,2) # = 2
print max(3,4) # = 4
print max(1.0, 1.5) # = 1.500000
| [
437,
198,
198,
4798,
3509,
32590,
16,
12095,
17,
8,
220,
220,
220,
220,
220,
1303,
796,
532,
16,
198,
4798,
3509,
7,
16,
11,
17,
8,
220,
220,
220,
220,
220,
220,
220,
1303,
796,
362,
198,
4798,
3509,
7,
18,
11,
19,
8,
220,
2... | 1.644737 | 76 |
'''Cross validation codes.'''
"""
kwargs: keyword arguments to runSimulation
order of positional arguments: obs_data, model, parameters
"""
from collections import namedtuple
import lmfit # Fitting lib
import matplotlib.pyplot as plt
import math
import numpy as np
import pandas as pd
import random
import tellurium... | [
7061,
6,
21544,
21201,
12416,
2637,
7061,
198,
198,
37811,
198,
46265,
22046,
25,
21179,
7159,
284,
1057,
8890,
1741,
198,
2875,
286,
45203,
7159,
25,
10201,
62,
7890,
11,
2746,
11,
10007,
198,
37811,
198,
198,
6738,
17268,
1330,
3706,
... | 2.721607 | 7,044 |
from qcore.asserts import assert_eq
import random
from python_project_template.utils import random_string
| [
6738,
10662,
7295,
13,
30493,
82,
1330,
6818,
62,
27363,
198,
11748,
4738,
198,
198,
6738,
21015,
62,
16302,
62,
28243,
13,
26791,
1330,
4738,
62,
8841,
628
] | 3.857143 | 28 |
import unittest
import torch
from pytorch_metric_learning.losses import NPairsLoss
from pytorch_metric_learning.utils import common_functions as c_f, loss_and_miner_utils as lmu
| [
11748,
555,
715,
395,
198,
11748,
28034,
198,
6738,
12972,
13165,
354,
62,
4164,
1173,
62,
40684,
13,
22462,
274,
1330,
28498,
3468,
43,
793,
198,
6738,
12972,
13165,
354,
62,
4164,
1173,
62,
40684,
13,
26791,
1330,
2219,
62,
12543,
2... | 3.016949 | 59 |
import requests
import json
import datetime
import pandas as pd
import numpy as np
import platform
# 有時候的登入狀態會抓不到資料:
# 要抓的港口 'ID': 港口名稱
port_ID_map = {'87':'Los Angeles','2727':'longBeach','93':'Oakland','1253':'Shanhi','1006':'Yantian',
'290':'Singapore','172':'Hamburg','2036':'Rotterdam','199':'Felixsto... | [
11748,
7007,
198,
11748,
33918,
198,
11748,
4818,
8079,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
3859,
198,
2,
42164,
231,
162,
25081,
161,
222,
247,
21410,
163,
247,
119,
17739,
98,
45379,
... | 1.848523 | 1,591 |
#!/usr/bin/env python
import unittest
import sys
import os.path
remotedir = os.path.dirname(os.path.dirname(os.path.dirname((__file__))))
sys.path.insert(0, remotedir)
from robotremoteserver import RobotRemoteServer
if __name__ == '__main__':
unittest.main()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
11748,
555,
715,
395,
198,
11748,
25064,
198,
11748,
28686,
13,
6978,
198,
198,
2787,
5191,
343,
796,
28686,
13,
6978,
13,
15908,
3672,
7,
418,
13,
6978,
13,
15908,
3672,
7,
418... | 2.34127 | 126 |
import json
import logging
import xbmc
logger = logging.getLogger(__name__)
_JSONRPC_TEMPLATE = """{{"jsonrpc":"2.0","id":0,"method":"{method}","params":{params}}}"""
PLAYER_MUSIC = 0
PLAYER_VIDEO = 1
PLAYER_PICTURE = 2
LIST_FIELD_ART = "art"
LIST_FIELD_UNIQUEID = "uniqueid"
| [
11748,
33918,
198,
11748,
18931,
198,
198,
11748,
2124,
20475,
66,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628,
198,
198,
62,
40386,
49,
5662,
62,
51,
3620,
6489,
6158,
796,
37227,
90,
4895,
17... | 2.403361 | 119 |
#!/usr/bin/python
# (c) 2021, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = '''
module: na_ontap_fpolicy_scope
short_description: NetApp ONTAP - Create, del... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
2,
357,
66,
8,
33448,
11,
3433,
4677,
11,
3457,
198,
2,
22961,
3611,
5094,
13789,
410,
18,
13,
15,
10,
357,
3826,
27975,
45761,
393,
3740,
1378,
2503,
13,
41791,
13,
2398,
14,
677,
... | 2.937231 | 1,625 |
"""Console script for codebots.
You can get detaled information about each of the bots with the :code:`--help` option.
.. code-block:: bash
codebots --help
emailbot --help
telebot --help
slackbot --help
sshbot --help
deploybot --help
latexbot --help
drivebot ... | [
37811,
47581,
4226,
329,
2438,
42478,
13,
198,
198,
1639,
460,
651,
1062,
3021,
1321,
546,
1123,
286,
262,
29641,
351,
262,
1058,
8189,
25,
63,
438,
16794,
63,
3038,
13,
198,
198,
492,
2438,
12,
9967,
3712,
27334,
628,
220,
220,
220... | 2.829941 | 4,716 |
# Copyright (C) 2013 Sony Mobile Communications AB.
# All rights, including trade secret rights, reserved.
from ave.broker.session import RemoteSession
| [
2,
15069,
357,
34,
8,
2211,
10184,
12173,
14620,
9564,
13,
198,
2,
1439,
2489,
11,
1390,
3292,
3200,
2489,
11,
10395,
13,
198,
198,
6738,
257,
303,
13,
7957,
6122,
13,
29891,
1330,
21520,
36044,
198
] | 4.135135 | 37 |
# Add zip code
import pymongo
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["mydatabase"]
mycol = mydb["restaurant"]
myquery = {"borough":{"$regex":"Bronx"}}
for x in mycol.find(myquery):
print(x)
| [
2,
3060,
19974,
2438,
201,
198,
11748,
279,
4948,
25162,
201,
198,
1820,
16366,
796,
279,
4948,
25162,
13,
44,
25162,
11792,
7203,
31059,
375,
65,
1378,
36750,
25,
1983,
29326,
14,
4943,
201,
198,
1820,
9945,
796,
616,
16366,
14692,
1... | 2.44 | 100 |
#!/usr/bin/env python3 -B
import paho.mqtt.publish as mqtt # pip install --upgrade paho-mqtt
import json
from collections import namedtuple
import time
import random
import base64
import os
Loc = namedtuple('Loc', 'imei lat lon alt vel cog plate tid')
positions = [
Loc("516081298750081", 59.373399, 17.946690, ... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
532,
33,
198,
198,
11748,
279,
17108,
13,
76,
80,
926,
13,
12984,
1836,
355,
285,
80,
926,
220,
1303,
7347,
2721,
1377,
929,
9526,
279,
17108,
12,
76,
80,
926,
198,
11748,
33918,
19... | 1.846753 | 1,155 |
from db.repositories.statistics_repository import StatisticsRepository
from db.repositories.dna_repository import DNARepository
from model import Dna
from model.DTO.Dna import DNACreate
from service import statistics_service
from fastapi import HTTPException
| [
6738,
20613,
13,
260,
1930,
270,
1749,
13,
14269,
3969,
62,
260,
1930,
37765,
1330,
14370,
6207,
13264,
198,
6738,
20613,
13,
260,
1930,
270,
1749,
13,
67,
2616,
62,
260,
1930,
37765,
1330,
45080,
1503,
538,
13264,
198,
6738,
2746,
13... | 3.547945 | 73 |
# 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 *
class Julea(MesonPackage):
"""JULEA is a flexible storage framework that allows offering arbitra... | [
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,... | 2.878307 | 567 |
import base64
# converte os bytes em imagem e salva no path especificado
# remove o cabeçalho do base64 enviado na requisição pelo JS | [
11748,
2779,
2414,
628,
220,
220,
220,
220,
198,
2,
6718,
660,
28686,
9881,
795,
3590,
368,
304,
3664,
6862,
645,
3108,
1658,
431,
7790,
4533,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
2,
4781,
267,
269,
11231,
16175,
... | 2.525424 | 59 |
#
# -------------------------------------------------------------------------
# Copyright (c) 2015-2017 AT&T Intellectual Property
#
# 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
#
# ... | [
2,
198,
2,
16529,
45537,
198,
2,
220,
220,
15069,
357,
66,
8,
1853,
12,
5539,
5161,
5,
51,
42443,
14161,
198,
2,
198,
2,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
220,... | 2.374659 | 2,936 |
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | [
2,
15069,
1584,
3012,
3457,
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,
13789,
... | 3.987805 | 164 |
#!/usr/bin/env python
from suds.client import Client
import base64
# Suds does not support base64binary type, so we do the encoding manually.
file_data = base64.b64encode('file_data')
c=Client('http://localhost:9000/filemgr/?wsdl')
c.service.add('x', 'y', 'file_name', file_data)
print('file written.')
print()
prin... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
6738,
424,
9310,
13,
16366,
1330,
20985,
198,
11748,
2779,
2414,
198,
198,
2,
14818,
82,
857,
407,
1104,
2779,
2414,
39491,
2099,
11,
523,
356,
466,
262,
21004,
14500,
13,
198,
... | 2.8 | 145 |
from skimage.measure import marching_cubes
import pandas as pd
import numpy as np
from LoopStructural.utils import getLogger
logger = getLogger(__name__) | [
6738,
1341,
9060,
13,
1326,
5015,
1330,
26409,
62,
66,
29080,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
26304,
44909,
1523,
13,
26791,
1330,
651,
11187,
1362,
198,
6404,
1362,
796,
651,
... | 3.208333 | 48 |
"""
1 comprehension
2 user defined function
# ASSIGNMENT:
1 WRITE list comprehension to create 15 random number
2 write list comprehensioon to create prime number till user defined number
3 write dictionary comprehension with 5 key value paiir
4 convert all assignmnent into user defined function
"""
### COMPREHENS... | [
37811,
198,
16,
35915,
198,
17,
2836,
5447,
2163,
198,
198,
2,
24994,
16284,
10979,
25,
198,
16,
44423,
1351,
35915,
284,
2251,
1315,
4738,
1271,
198,
17,
3551,
1351,
8569,
952,
261,
284,
2251,
6994,
1271,
10597,
2836,
5447,
1271,
198... | 2.394586 | 1,219 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import unittest
from punica.cli import main
from click.testing import CliRunner
if __name__ == '__main__':
unittest.main()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
11748,
555,
715,
395,
198,
198,
6738,
4000,
3970,
13,
44506,
1330,
1388,
198,
198,
6738,
3904,
13,
33407,
13... | 2.5 | 72 |
import requests
import json
from github import GithubException
| [
11748,
7007,
198,
11748,
33918,
198,
6738,
33084,
1330,
38994,
16922,
628
] | 5.333333 | 12 |
model = dm.DSCN(task=6723)
model.compile("adam", "sparse_categorical_crossentropy", metrics=['accuracy'])
print('start training...')
history = model.fit(train_model_input, data[target].values, batch_size=256, epochs=20, verbose=2, validation_data=(test_model_input, test_data[target].values))
model.save('./dscn.h5')
| [
19849,
796,
288,
76,
13,
5258,
44175,
7,
35943,
28,
3134,
1954,
8,
198,
19849,
13,
5589,
576,
7203,
324,
321,
1600,
366,
82,
29572,
62,
66,
2397,
12409,
62,
19692,
298,
28338,
1600,
20731,
28,
17816,
4134,
23843,
6,
12962,
198,
198,... | 2.717949 | 117 |
import pyodbc
server = 'localhost'
database = 'testDB'
username = 'SA'
password = 'giorgio$1'
cnxn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER='+server+';DATABASE='+database+';UID='+username+';PWD='+ password)
cursor = cnxn.cursor()
print('Inserting a new row into table')
tsql = "INSERT INTO Empl... | [
11748,
12972,
375,
15630,
198,
198,
15388,
796,
705,
36750,
6,
198,
48806,
796,
705,
9288,
11012,
6,
198,
29460,
796,
705,
4090,
6,
198,
28712,
796,
705,
70,
1504,
27769,
3,
16,
6,
198,
198,
31522,
87,
77,
796,
12972,
375,
15630,
... | 2.828025 | 157 |
#! encoding: UTF-8
import os
import opts
import ipdb
import time
import random
import numpy as np
from six.moves import cPickle
import keras
from keras.datasets import mnist
import tensorflow as tf
if __name__ == '__main__':
opt = opts.parse_opt()
opt_dict = vars(opt)
for k, v in opt_dict.items():
... | [
2,
0,
21004,
25,
41002,
12,
23,
198,
198,
11748,
28686,
198,
11748,
2172,
82,
198,
11748,
20966,
9945,
198,
11748,
640,
198,
11748,
4738,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
2237,
13,
76,
5241,
1330,
269,
31686,
293,
198,
... | 2.304469 | 358 |
# -*- coding:utf-8 -*-
#
# File : cmd_package.py
# This file is part of RT-Thread RTOS
# COPYRIGHT (C) 2006 - 2018, RT-Thread Development Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Softwa... | [
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
201,
198,
2,
201,
198,
2,
9220,
220,
220,
220,
220,
220,
1058,
23991,
62,
26495,
13,
9078,
201,
198,
2,
770,
2393,
318,
636,
286,
11923,
12,
16818,
11923,
2640,
201,
198,
2,... | 2.110933 | 18,137 |
# Corrigido
# Bloco de importações
import random
# Bloco de entrada
print()
n = int(input('Informe um número maior que zero: '))
print()
# Bloco de cálculos
num = random.randint(0, n)
# Bloco de saída
print('Numéro de saída: {}.'.format(num))
print()
| [
2,
2744,
4359,
17305,
198,
198,
2,
1086,
25634,
390,
1330,
64,
16175,
127,
113,
274,
198,
11748,
4738,
198,
198,
2,
1086,
25634,
390,
24481,
4763,
198,
4798,
3419,
198,
77,
796,
493,
7,
15414,
10786,
818,
687,
68,
23781,
299,
21356,... | 2.33945 | 109 |
# -*- encoding: utf-8 -*-
from django.conf.urls.defaults import *
from django.contrib import admin
from django.conf import settings
from tastypie.api import Api
from journalmanager import views, models
from api import resources
admin.autodiscover()
# RESTful API config
v1_api = Api(api_name='v1')
v1_api_resources = ... | [
2,
532,
9,
12,
21004,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
42625,
14208,
13,
10414,
13,
6371,
82,
13,
12286,
82,
1330,
1635,
198,
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
42625,
14208,
13,
10414,
1330,
64... | 2.593361 | 964 |
"""
Neuroimaging cartesian reconstruction
=====================================
Credit: L Elgueddari
In this tutorial we will reconstruct an MRI image from the sparse kspace
measurments.
"""
# Package import
import pysap
from pysap.data import get_sample_data
from mri.numerics.linear import Wavelet2
from mri.numeric... | [
37811,
198,
8199,
1434,
320,
3039,
6383,
35610,
25056,
198,
10052,
1421,
28,
198,
198,
23690,
25,
406,
2574,
70,
1739,
67,
2743,
198,
198,
818,
428,
11808,
356,
481,
31081,
281,
30278,
2939,
422,
262,
29877,
479,
13200,
198,
1326,
292... | 2.539442 | 1,648 |
Version = "4.5.2"
if __name__ == "__main__":
print (Version)
| [
14815,
796,
366,
19,
13,
20,
13,
17,
1,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
3601,
357,
14815,
8,
628
] | 2.233333 | 30 |
from django.contrib.auth.models import Group, Permission
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.core.exceptions import ValidationError
from django.db import models
from django.utils.translation import ugettext_lazy as _
fro... | [
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
4912,
11,
2448,
3411,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
11299,
19199,
13,
25747,
1330,
42044,
33616,
9218,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
11299,
19199... | 3.265659 | 463 |
from transbank.error.invalid_amount_error import InvalidAmountError
| [
6738,
1007,
17796,
13,
18224,
13,
259,
12102,
62,
17287,
62,
18224,
1330,
17665,
31264,
12331,
628
] | 4.058824 | 17 |
# -*- coding: utf-8 -*-
from usercrawler import UserCrawler
uid = u'小鱼游啊游0423'
crawler = UserCrawler()
userinfo = crawler.scratch(uid)
print userinfo | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
514,
2798,
39464,
1330,
11787,
34,
39464,
198,
27112,
796,
334,
6,
22887,
237,
165,
109,
120,
162,
116,
116,
161,
243,
232,
162,
116,
116,
3023,
1954,
6,
198,
... | 2.191176 | 68 |
import torch
from torch.nn import functional as F
from .utils import ConvNdTorch, PoolingNdTorch, NormNdTorch, DropoutNdTorch
from .basic_networks import BaseSegmentationTorchNetwork
| [
11748,
28034,
198,
6738,
28034,
13,
20471,
1330,
10345,
355,
376,
198,
6738,
764,
26791,
1330,
34872,
45,
67,
15884,
354,
11,
19850,
278,
45,
67,
15884,
354,
11,
11220,
45,
67,
15884,
354,
11,
14258,
448,
45,
67,
15884,
354,
198,
67... | 3.263158 | 57 |
from tensorflow.keras import layers
import time
import tensorflow as tf
def make_generator_model():
'''
Create GAN generator
:return: Generator
'''
model = tf.keras.Sequential()
model.add(layers.Dense(7*7*256, use_bias=False, input_shape=(100,)))
model.add(layers.BatchNormalization())
... | [
6738,
11192,
273,
11125,
13,
6122,
292,
1330,
11685,
198,
11748,
640,
198,
198,
11748,
11192,
273,
11125,
355,
48700,
628,
198,
4299,
787,
62,
8612,
1352,
62,
19849,
33529,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
13610,
402... | 2.386441 | 885 |
from typing import Optional, Union
from slack_sdk.web import SlackResponse
from slack_bolt.authorization import AuthorizeResult
from slack_bolt.request.request import BoltRequest
from slack_bolt.response import BoltResponse
#
# NOTE: this source file intentionally avoids having a reference to
# AsyncBoltRequest, Asy... | [
6738,
19720,
1330,
32233,
11,
4479,
198,
198,
6738,
30740,
62,
21282,
74,
13,
12384,
1330,
36256,
31077,
198,
198,
6738,
30740,
62,
25593,
13,
9800,
1634,
1330,
6434,
1096,
23004,
198,
6738,
30740,
62,
25593,
13,
25927,
13,
25927,
1330,... | 3.933824 | 136 |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
BROKER_BACKEND = "mongodb"
BROKER_HOST = "localhost"
BROKER_PORT = 7680
CELERY_RESULT_BACKEND = "mongodb"
CELERY_MONGODB_BACKEND_SETTINGS = {
"host": "localhost",
"port": 7680,
"database": "books",
"taskmeta_collection": "celerytasks",
}
CELERYD_CONCURRENC... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
198,
11473,
11380,
1137,
62,
31098,
10619,
796,
366,
31059,
375,
65,
1,
198,
11473,
11380,
1137,
62,
39,
10892,
796,
366,
... | 2.133663 | 202 |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: http.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_data... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2980,
515,
416,
262,
8435,
11876,
17050,
13,
220,
8410,
5626,
48483,
0,
198,
2,
2723,
25,
2638,
13,
1676,
1462,
198,
198,
6738,
23645,
13,
11235,
672,
3046,
1330,
... | 1.83825 | 7,796 |
from function_file import best_fit, line_graph, normal_curve
if __name__ == "__main__":
# Create dataframe
df2 = pd.read_csv("../input/english-premier-league-data-for-10-seasons/epldat10seasons/epl-allseasons-matchstats.csv")
# Create dataframe to summarise cards given by season ... | [
6738,
2163,
62,
7753,
1330,
1266,
62,
11147,
11,
1627,
62,
34960,
11,
3487,
62,
22019,
303,
220,
220,
220,
198,
220,
220,
220,
220,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
220,
198,
220,
2... | 2.577875 | 687 |
"""
Helpers for setup.py, e.g. requirements.txt parsing, version bumping, custom setup.py commands
Inside of :py:mod:`privex.helpers.setuppy.common` there's a variety of functions related to generating
requirements.txt files, parsing requirements.txt files which recursively import other requirements.txt files,
and ha... | [
37811,
198,
12621,
19276,
329,
9058,
13,
9078,
11,
304,
13,
70,
13,
5359,
13,
14116,
32096,
11,
2196,
13852,
278,
11,
2183,
9058,
13,
9078,
9729,
628,
198,
24441,
286,
1058,
9078,
25,
4666,
25,
63,
3448,
303,
87,
13,
16794,
364,
1... | 3.447761 | 469 |
__all__ = ('setup', 'Extension')
from celerid import patch_distutils # Cause distutils to be hot-patched.
from distutils.core import setup, Extension as std_Extension
from distutils.errors import DistutilsOptionError
| [
834,
439,
834,
796,
19203,
40406,
3256,
705,
11627,
3004,
11537,
198,
198,
6738,
18725,
263,
312,
1330,
8529,
62,
17080,
26791,
1303,
24228,
1233,
26791,
284,
307,
3024,
12,
8071,
1740,
13,
198,
198,
6738,
1233,
26791,
13,
7295,
1330,
... | 3.606557 | 61 |
#
# Copyright (C) 2019 Databricks, 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 or agreed to i... | [
2,
198,
2,
15069,
357,
34,
8,
13130,
16092,
397,
23706,
11,
3457,
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,
... | 3.52069 | 290 |
import multiprocessing
import os
import random
import shutil
import threading
import time
import traceback
import json
import re
import tempfile
from subprocess import run, PIPE
from urllib.parse import urlparse
from botocore.exceptions import ClientError
import boto3
import requests
from idseq_dag.engine.pipeline_st... | [
11748,
18540,
305,
919,
278,
198,
11748,
28686,
198,
11748,
4738,
198,
11748,
4423,
346,
198,
11748,
4704,
278,
198,
11748,
640,
198,
11748,
12854,
1891,
198,
11748,
33918,
198,
11748,
302,
198,
11748,
20218,
7753,
198,
6738,
850,
14681,
... | 2.044452 | 6,209 |
import torch
import torch.nn as nn
import torch.jit as jit
from typing import Any
from typing import List
from typing import Tuple
from typing import Optional
from collections import namedtuple
state_type = Tuple[torch.Tensor, torch.Tensor]
return_type = Tuple[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]
LSTMSta... | [
11748,
28034,
198,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
28034,
13,
45051,
355,
474,
270,
198,
198,
6738,
19720,
1330,
4377,
198,
6738,
19720,
1330,
7343,
198,
6738,
19720,
1330,
309,
29291,
198,
6738,
19720,
1330,
322... | 2.794326 | 141 |
import requests
from bs4 import BeautifulSoup
from _datetime import date
import progressbar
import time
import os
import pandas as pd
#check if a value is empty
#if it is we return 0.0
if __name__ == "__main__":
wrapper = WNBAWrapper()
wrapper.getBoxScore() | [
11748,
7007,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
198,
6738,
4808,
19608,
8079,
1330,
3128,
198,
11748,
4371,
5657,
198,
11748,
640,
198,
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
628,
220,
220,
220,
1303,
9122,
6... | 2.98913 | 92 |
#!/usr/bin/env python
from subprocess import Popen, PIPE
import sys
import argparse
parser = argparse.ArgumentParser(description='Ping Scan Network')
# Main arguments
parser.add_argument("-network", dest="network", help="NetWork segment[For example 192.168.56]", required=True)
parser.add_argument("-machines", des... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
6738,
850,
14681,
1330,
8099,
268,
11,
350,
4061,
36,
198,
11748,
25064,
198,
11748,
1822,
29572,
198,
198,
48610,
796,
1822,
29572,
13,
28100,
1713,
46677,
7,
11213,
11639,
49806,
20937... | 2.628205 | 390 |
from django.db import models
from django.utils import timezone
# Create your models here. | [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
26791,
1330,
640,
11340,
198,
198,
2,
13610,
534,
4981,
994,
13
] | 3.75 | 24 |
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import ElementNotInteractableException, NoSuchElementException
import csv
import time
WPP_URL = "https://web.whatsapp.com/"
def le_arquivo(nome_arquivo):
'''
... | [
6738,
384,
11925,
1505,
1330,
3992,
26230,
198,
6738,
384,
11925,
1505,
13,
12384,
26230,
13,
11321,
13,
1525,
1330,
2750,
198,
6738,
384,
11925,
1505,
13,
12384,
26230,
13,
11321,
13,
13083,
1330,
26363,
198,
6738,
384,
11925,
1505,
13... | 2.187355 | 1,724 |
import cv2
import numpy as np
import os
import math
from utils import *
## ADD 'Frames' folder to file path before running code.
if __name__ == "__main__":
main()
| [
11748,
269,
85,
17,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28686,
198,
11748,
10688,
198,
6738,
3384,
4487,
1330,
1635,
628,
198,
2235,
27841,
705,
35439,
6,
9483,
284,
2393,
3108,
878,
2491,
2438,
13,
628,
198,
198,
361,
115... | 3.017544 | 57 |
"""
671
easy
second minimum node in a binary tree
"""
# Definition for a binary tree node.
| [
37811,
198,
46250,
198,
38171,
198,
12227,
5288,
10139,
287,
257,
13934,
5509,
198,
37811,
628,
198,
2,
30396,
329,
257,
13934,
5509,
10139,
13,
628,
628,
198
] | 3.464286 | 28 |
from multiprocessing import Process
from core.himesis_utils import expand_graph
from copy import deepcopy
| [
198,
6738,
18540,
305,
919,
278,
1330,
10854,
198,
198,
6738,
4755,
13,
71,
999,
271,
62,
26791,
1330,
4292,
62,
34960,
198,
6738,
4866,
1330,
2769,
30073,
628
] | 3.758621 | 29 |
#!/usr/bin/env python3
################################################################################
# This script will run the Arrythmia Web App from the command line. This
# script should be used for developing builds only.
################################################################################
import sub... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
29113,
29113,
14468,
198,
2,
770,
4226,
481,
1057,
262,
943,
563,
400,
20730,
5313,
2034,
422,
262,
3141,
1627,
13,
770,
198,
2,
4226,
815,
307,
973,
329,
5922,
12188,
691,
13,
... | 2.887712 | 944 |
# Regression analysis using scikit-learn functions
# Common imports
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import sklearn.linear_model as skl
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error
import os
# Wh... | [
2,
3310,
2234,
3781,
1262,
629,
1134,
270,
12,
35720,
5499,
198,
2,
8070,
17944,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
1341,... | 2.333894 | 1,189 |
# -*- coding: utf-8 -*-
# 句向量训练者称为出题者assitant，标签训练者称为student
import getData
from keras.models import Sequential
from keras.layers import LSTM, Dense, Dropout
from gensim.models import Word2Vec
import numpy as np
from keras import metrics
dim_num_feature = 120
# 用于限制长度
w2v_model = Word2Vec.load("... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
2,
10263,
237,
98,
28938,
239,
34932,
237,
164,
106,
255,
163,
119,
225,
38519,
163,
100,
108,
10310,
118,
49035,
118,
165,
95,
246,
38519,
562,
23737,
171,
120,
... | 2.125131 | 951 |
"""Provides methods for text cleanup."""
| [
37811,
15946,
1460,
5050,
329,
2420,
27425,
526,
15931,
198
] | 4.1 | 10 |
import logging
from contextlib import suppress
from datetime import datetime
from typing_extensions import Self
from ._util import _regex_it
from .api import _APIClient
from .base import ClubObject
from .config import get_from_cache, set_in_cache
from .constants import _TMIO
from .errors import TMIOException
from .pl... | [
11748,
18931,
198,
6738,
4732,
8019,
1330,
18175,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
6738,
19720,
62,
2302,
5736,
1330,
12189,
198,
198,
6738,
47540,
22602,
1330,
4808,
260,
25636,
62,
270,
198,
6738,
764,
15042,
1330,
4... | 2.252206 | 3,287 |
import os
import json
import torch
import numpy as np
from model import VAENAR, ScheduledOptim
| [
11748,
28686,
198,
11748,
33918,
198,
198,
11748,
28034,
198,
11748,
299,
32152,
355,
45941,
198,
198,
6738,
2746,
1330,
13753,
1677,
1503,
11,
27774,
6309,
27871,
320,
628,
628,
198
] | 3.258065 | 31 |
from twisted.application import internet, service
from twisted.internet import reactor
from txtrader.tcpserver import serverFactory
from txtrader.webserver import webServerFactory
from txtrader.rtx import RTX
if __name__ == '__main__':
main()
| [
6738,
19074,
13,
31438,
1330,
5230,
11,
2139,
198,
6738,
19074,
13,
37675,
1330,
21905,
198,
198,
6738,
256,
742,
81,
5067,
13,
23047,
862,
18497,
1330,
4382,
22810,
198,
6738,
256,
742,
81,
5067,
13,
732,
1443,
18497,
1330,
3992,
106... | 3.36 | 75 |
from collections import namedtuple
from requests.structures import CaseInsensitiveDict
from boltons.typeutils import make_sentinel
class ReadOnlyContainer(object):
"""
Base class for read-only property containers.
"""
def __init__(self, **fields):
"""
Initialize the property container... | [
6738,
17268,
1330,
3706,
83,
29291,
198,
198,
6738,
7007,
13,
7249,
942,
1330,
8913,
20376,
18464,
35,
713,
198,
6738,
18100,
684,
13,
4906,
26791,
1330,
787,
62,
34086,
20538,
628,
198,
4871,
4149,
10049,
29869,
7,
15252,
2599,
198,
... | 2.740088 | 227 |
import csv, datetime
with open('tooldesc.csv') as td:
rdr = csv.reader(td)
items = list(rdr)
items = [convertDate(item) for item in items]
with open('tooldesc2.csv', 'w', newline='') as td:
wrt = csv.writer(td)
for item in items:
wrt.writerow(item)
| [
11748,
269,
21370,
11,
4818,
8079,
198,
198,
4480,
1280,
10786,
1462,
727,
3798,
13,
40664,
11537,
355,
41560,
25,
198,
220,
220,
220,
374,
7109,
796,
269,
21370,
13,
46862,
7,
8671,
8,
198,
220,
220,
220,
3709,
796,
1351,
7,
4372,
... | 2.225806 | 124 |
"""
将mask rcnn转成shapefile的一些函数
"""
from osgeo import ogr, gdal, osr
import cv2
import numpy as np
def create_geom():
"""用于测试，生成一个wkt"""
multipolygon = ogr.Geometry(ogr.wkbMultiPolygon)
polygon = ogr.Geometry(ogr.wkbPolygon)
ring = ogr.Geometry(ogr.wkbLinearRing)
ring.AddPoint(1179091.1646903288, ... | [
37811,
198,
49546,
27932,
48321,
20471,
164,
121,
105,
22755,
238,
43358,
7753,
21410,
31660,
12859,
249,
49035,
121,
46763,
108,
198,
37811,
198,
198,
6738,
28686,
469,
78,
1330,
267,
2164,
11,
308,
31748,
11,
267,
27891,
198,
11748,
2... | 1.885781 | 1,716 |
from paypalrestsdk import WebhookEvent
import logging
logging.basicConfig(level=logging.INFO)
webhook_event = WebhookEvent.find("8PT597110X687430LKGECATA")
if webhook_event.resend(): # return True or False
print("webhook event[%s] resend successfully" % (webhook_event.id))
else:
print(webhook_event.error)
| [
6738,
1414,
18596,
2118,
21282,
74,
1330,
5313,
25480,
9237,
198,
11748,
18931,
198,
6404,
2667,
13,
35487,
16934,
7,
5715,
28,
6404,
2667,
13,
10778,
8,
198,
198,
12384,
25480,
62,
15596,
796,
5313,
25480,
9237,
13,
19796,
7203,
23,
... | 2.765217 | 115 |
#!/usr/bin/env python
# coding=utf-8
try:
import mock
except ImportError:
import unittest.mock as mock
from marvin_product_classifier_engine.data_handler import AcquisitorAndCleaner
import pandas as pd
@mock.patch('marvin_product_classifier_engine.data_handler.acquisitor_and_cleaner.pd.read_csv')
@mock.pat... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
19617,
28,
40477,
12,
23,
198,
198,
28311,
25,
198,
220,
220,
220,
1330,
15290,
198,
198,
16341,
17267,
12331,
25,
198,
220,
220,
220,
1330,
555,
715,
395,
13,
76,
735,
355,
152... | 2.8 | 150 |
"""TcEx Service Common Module"""
# standard library
import base64
import json
import os
import subprocess
import sys
import time
import uuid
from multiprocessing import Process
from random import randint
from threading import Event, Lock, Thread
from typing import Any, Optional
from ..services import MqttMessageBroker... | [
37811,
51,
66,
3109,
4809,
8070,
19937,
37811,
198,
2,
3210,
5888,
198,
11748,
2779,
2414,
198,
11748,
33918,
198,
11748,
28686,
198,
11748,
850,
14681,
198,
11748,
25064,
198,
11748,
640,
198,
11748,
334,
27112,
198,
6738,
18540,
305,
... | 2.277994 | 6,939 |
'''aula de tkinter I'''
from tkinter import *
#dá nome ao quadro principal
quadro = Tk()
#dá um tamanho ao quadro
quadro.geometry("800x600")
#dá o titulo na janela do programa
quadro.title("primeiro programa pos retorno!")
#faz o quadro iniciar
# sem isso o programa não abre
quadro.mainloop()
... | [
7061,
6,
2518,
64,
390,
256,
74,
3849,
314,
7061,
6,
198,
198,
6738,
256,
74,
3849,
1330,
1635,
198,
198,
2,
67,
6557,
299,
462,
257,
78,
15094,
305,
10033,
198,
47003,
305,
796,
309,
74,
3419,
198,
198,
2,
67,
6557,
23781,
256,... | 2.41791 | 134 |
#This script Imports Game Data from ESPN, and Odds from the ODDS-API, and then imports them into a MySQL table, example in workbench here https://puu.sh/HOKCj/ce199eec8e.png
import mysql.connector
import requests
import json
import datetime
import time
#Connection to the MYSQL Server.
mydb = mysql.connector.... | [
2,
1212,
4226,
1846,
3742,
3776,
6060,
422,
10409,
11,
290,
20664,
82,
422,
262,
31245,
5258,
12,
17614,
11,
290,
788,
17944,
606,
656,
257,
33476,
3084,
11,
1672,
287,
670,
26968,
994,
3740,
1378,
79,
12303,
13,
1477,
14,
39,
11380... | 2.405726 | 1,432 |
from models import news
| [
6738,
4981,
1330,
1705,
628,
628
] | 4.5 | 6 |
"""
Utilities for creating simulated data sets.
"""
from typing import Optional, Sequence
import numpy as np
import pandas as pd
from scipy.linalg import toeplitz
from ..api import AllTracker
__all__ = ["sim_data"]
__tracker = AllTracker(globals())
def sim_data(
n: int = 100,
intercept: float = -5,
t... | [
37811,
198,
18274,
2410,
329,
4441,
28590,
1366,
5621,
13,
198,
37811,
198,
6738,
19720,
1330,
32233,
11,
45835,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
629,
541,
88,
13,
75,
1292,
70,... | 2.443789 | 3,389 |
# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | [
2,
15069,
357,
66,
8,
33448,
532,
1944,
1220,
47986,
32707,
11,
3457,
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,... | 2.515022 | 5,392 |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2019 CESNET z.s.p.o..
#
# OARepo is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
""" Models used by the ProxyIDP Remote application """
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
198,
2,
15069,
357,
34,
8,
13130,
42700,
12884,
1976,
13,
82,
13,
79,
13,
78,
492,
198,
2,
198,
2,
440,
1503,
538,
78,
318,
1479,
3788,
26,
345,
460,
17678,
4... | 3.05814 | 86 |
import argparse
from camp_real_engine.engine import RealizationEngine
| [
11748,
1822,
29572,
198,
198,
6738,
1413,
62,
5305,
62,
18392,
13,
18392,
1330,
6416,
1634,
13798,
628,
198
] | 3.842105 | 19 |
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.permissions import AllowAny
from rest_framework.viewsets import ReadOnlyModelViewSet
from ..models import Catalog
from ..serializers import CatalogListSerializer, CatalogSerializer
| [
6738,
1334,
62,
30604,
13,
79,
363,
1883,
1330,
27272,
34519,
47,
363,
1883,
198,
6738,
1334,
62,
30604,
13,
525,
8481,
1330,
22507,
7149,
198,
6738,
1334,
62,
30604,
13,
1177,
28709,
1330,
4149,
10049,
17633,
7680,
7248,
198,
198,
67... | 4.311475 | 61 |
"""
File: weather_master.py
Name: Karen Wong
-----------------------
This program should implement a console program that asks weather data from user to compute the average, highest, lowest, cold days among the inputs.
Output format should match what is shown in the sample run in the Assignment 2 Handout.
"""
EXIT = -... | [
37811,
198,
8979,
25,
6193,
62,
9866,
13,
9078,
198,
5376,
25,
18678,
27247,
198,
19351,
6329,
198,
1212,
1430,
815,
3494,
257,
8624,
1430,
326,
7893,
6193,
1366,
422,
2836,
284,
24061,
262,
2811,
11,
4511,
11,
9016,
11,
4692,
1528,
... | 2.824895 | 474 |
"""Color cycler."""
from matplotlib import cycler as mpl_cycler
def cycler(**kwargs):
"""Wrap a matplotlib.cycler object into a parameter-dictionary compatible with plt.rcParams.
Please refer to
https://matplotlib.org/cycler/
and
https://matplotlib.org/stable/tutorials/intermediate/color... | [
37811,
10258,
11700,
263,
526,
15931,
198,
198,
6738,
2603,
29487,
8019,
1330,
11700,
263,
355,
285,
489,
62,
15539,
263,
628,
198,
4299,
11700,
263,
7,
1174,
46265,
22046,
2599,
198,
220,
220,
220,
37227,
54,
2416,
257,
2603,
29487,
... | 2.676829 | 164 |
# Copyright (c) 2020 Continental Automotive GmbH
"""Testing functions."""
| [
2,
220,
15069,
357,
66,
8,
12131,
30462,
17406,
19138,
402,
2022,
39,
198,
198,
37811,
44154,
5499,
526,
15931,
198
] | 3.619048 | 21 |
import unittest
import pandas as pd
import pytest
import riptable as rt
# N.B. TL;DR We have to import the actual implementation module to override the module global
# variable "tm.N" and "tm.K".
# In pandas 1.0 they move the code from pandas/util/testing.py to pandas/_testing.py.
# The "import ... | [
11748,
555,
715,
395,
201,
198,
11748,
19798,
292,
355,
279,
67,
201,
198,
11748,
12972,
9288,
201,
198,
201,
198,
11748,
374,
10257,
540,
355,
374,
83,
201,
198,
2,
399,
13,
33,
13,
24811,
26,
7707,
775,
423,
284,
1330,
262,
4036... | 2.776735 | 533 |
"""Indent and Dedent classes."""
from sqlfluff.core.parser.match_wrapper import match_wrapper
from sqlfluff.core.parser.segments.raw import RawSegment
from sqlfluff.core.parser.context import ParseContext
from typing import Optional, List
class MetaSegment(RawSegment):
"""A segment which is empty but indicates w... | [
37811,
5497,
298,
290,
35023,
298,
6097,
526,
15931,
198,
198,
6738,
19862,
1652,
75,
1648,
13,
7295,
13,
48610,
13,
15699,
62,
48553,
1330,
2872,
62,
48553,
198,
6738,
19862,
1652,
75,
1648,
13,
7295,
13,
48610,
13,
325,
11726,
13,
... | 2.924221 | 1,412 |