content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
from email import header
import json
from flask import Flask, render_template, jsonify, request
from dotenv import load_dotenv
import os
import sys
import requests
# database intialization
from modules.database import NetworkDB
db = NetworkDB()
db.create_tables()
from modules.graph import Graphs
from modules.handler ... | [
6738,
3053,
1330,
13639,
198,
11748,
33918,
198,
6738,
42903,
1330,
46947,
11,
8543,
62,
28243,
11,
33918,
1958,
11,
2581,
198,
6738,
16605,
24330,
1330,
3440,
62,
26518,
24330,
198,
11748,
28686,
198,
11748,
25064,
198,
11748,
7007,
198,... | 2.739583 | 288 |
#!/usr/bin/env python3
import numpy
import pylab
import pickle
import itertools
a_arr, m_hist, cor_hist=pickle.load(open("results.pickle","rb"))
e=numpy.loadtxt("eigenval.csv", delimiter=",")
v=numpy.loadtxt("eigenvec.csv", delimiter=",")
v = v @ numpy.diag(e)
group_ans = numpy.loadtxt("group_hier.csv", delimiter=",... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
11748,
299,
32152,
198,
11748,
279,
2645,
397,
198,
11748,
2298,
293,
198,
11748,
340,
861,
10141,
198,
198,
64,
62,
3258,
11,
285,
62,
10034,
11,
1162,
62,
10034,
28,
27729... | 2.144681 | 940 |
import database
import csv
import sklearn
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import xlsxwriter as xl
import dill as pickle
from io import BytesIO
# This function is used to predict any model the user uploads to the flask app.
# Depending on user's settings the funct... | [
11748,
6831,
201,
198,
11748,
269,
21370,
201,
198,
11748,
1341,
35720,
201,
198,
11748,
19798,
292,
355,
279,
67,
201,
198,
11748,
299,
32152,
355,
45941,
220,
201,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
220,
2... | 3.223077 | 130 |
#!/bin/env python
import argparse
if __name__ == "__main__":
main()
| [
2,
48443,
8800,
14,
24330,
21015,
198,
11748,
1822,
29572,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 2.517241 | 29 |
from PIL import Image
if __name__ == "__main__":
print("Starting main")
main()
| [
6738,
350,
4146,
1330,
7412,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
3601,
7203,
22851,
1388,
4943,
198,
220,
1388,
3419,
198
] | 2.896552 | 29 |
"""For evaluating ARMA terms using an emulation
For evaluating ARMA terms using an emulation. Two classes, Arma and
ArmaForecast. Arma is for general use, where ARMA terms before time point
zero are zero. ArmaForecast is used for forecasting and continuing on a
time series, uses the previous time series wh... | [
37811,
1890,
22232,
5923,
5673,
2846,
1262,
281,
47065,
198,
198,
1890,
22232,
5923,
5673,
2846,
1262,
281,
47065,
13,
4930,
6097,
11,
943,
2611,
290,
198,
220,
220,
220,
943,
2611,
16351,
2701,
13,
943,
2611,
318,
329,
2276,
779,
11,... | 2.212884 | 2,344 |
import importlib
from channels import channel_layers
class Parser(object):
"""
Takes module_path as arguments path.module and also it has the function to
check the in-memory layer.
"""
| [
11748,
1330,
8019,
198,
6738,
9619,
1330,
6518,
62,
75,
6962,
628,
198,
4871,
23042,
263,
7,
15252,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
33687,
8265,
62,
6978,
355,
7159,
3108,
13,
21412,
290,
635,
340,
468,
262,
216... | 3.327869 | 61 |
from dhis2 import Api, RequestException, setup_logger, logger
"""
Add "(updated)" to all Data Elements that contain "ANC" in its name.
Uses the method PUT.
Print errors if it failed.
"""
# Create a Api object
api = Api("play.dhis2.org/dev", "admin", "district")
# setup the logger
setup_logger()
if __name__ == "__... | [
6738,
288,
14363,
17,
1330,
5949,
72,
11,
19390,
16922,
11,
9058,
62,
6404,
1362,
11,
49706,
198,
198,
37811,
198,
4550,
30629,
43162,
16725,
284,
477,
6060,
26632,
326,
3994,
366,
20940,
1,
287,
663,
1438,
13,
198,
5842,
274,
262,
... | 2.881356 | 118 |
from Bio import SeqIO
import argparse
import os
parser = argparse.ArgumentParser(description='# This program renames sequences and trims primers from a sequence.')
parser.add_argument('-i','--in', dest='IN', help='Input folder.')
parser.add_argument('-o','--out', dest='OUT', help='Output folder.')
parser.add_argumen... | [
6738,
16024,
1330,
1001,
80,
9399,
198,
11748,
1822,
29572,
198,
11748,
28686,
198,
198,
48610,
796,
1822,
29572,
13,
28100,
1713,
46677,
7,
11213,
11639,
2,
770,
1430,
8851,
1047,
16311,
290,
220,
491,
12078,
2684,
364,
422,
257,
8379,... | 3.069079 | 304 |
# -*- coding: utf-8 -*-
# vim: sw=4 ts=4 fenc=utf-8
# =============================================================================
# $Id: template.py 2 2006-08-26 17:51:50Z s0undt3ch $
# =============================================================================
# $URL: http://ispmanccp.ufsoft.org/svn/br... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
43907,
25,
1509,
28,
19,
40379,
28,
19,
277,
12685,
28,
40477,
12,
23,
198,
2,
38093,
25609,
198,
2,
720,
7390,
25,
11055,
13,
9078,
362,
4793,
12,
2919,
12,
20... | 3.4125 | 240 |
import os
from pathlib import Path
import parfive
| [
198,
11748,
28686,
198,
6738,
3108,
8019,
1330,
10644,
198,
11748,
1582,
13261,
198
] | 3.642857 | 14 |
"""Dict with attribute-like access."""
from typing import Any, Dict, KeysView
from python_awair import const
class AttrDict(Dict[str, Any]):
"""Dict with attribute-like access.
For example, given an AttrDict *foo*, we could
access its values via *foo["bar"]* or *foo.bar*.
This is the parent class ... | [
37811,
35,
713,
351,
11688,
12,
2339,
1895,
526,
15931,
198,
198,
6738,
19720,
1330,
4377,
11,
360,
713,
11,
26363,
7680,
198,
198,
6738,
21015,
62,
707,
958,
1330,
1500,
628,
198,
4871,
3460,
81,
35,
713,
7,
35,
713,
58,
2536,
11... | 2.483363 | 571 |
import cv2
img = cv2.imread("./data/test_images/straight_lines1.jpg")
cv2.imshow("Get Co-Ords", img)
cv2.waitKey()
| [
11748,
269,
85,
17,
198,
198,
9600,
796,
269,
85,
17,
13,
320,
961,
7,
1911,
14,
7890,
14,
9288,
62,
17566,
14,
42729,
62,
6615,
16,
13,
9479,
4943,
198,
33967,
17,
13,
320,
12860,
7203,
3855,
1766,
12,
35422,
82,
1600,
33705,
8... | 2.188679 | 53 |
import pytest
from osp.citations.jstor_record import JSTOR_Record
@pytest.mark.parametrize('inputs,surname', [
# Single author.
(
[
('David', 'McClure'),
],
'McClure'
),
# Multiple authors.
(
[
('David', 'McClure'),
('Joe', '... | [
198,
198,
11748,
12972,
9288,
198,
198,
6738,
267,
2777,
13,
66,
20597,
13,
73,
301,
273,
62,
22105,
1330,
449,
2257,
1581,
62,
23739,
628,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
10786,
15414,
82,
11,
82,
700,
4... | 1.74717 | 265 |
from .. import bar_func | [
6738,
11485,
1330,
2318,
62,
20786
] | 3.833333 | 6 |
from marshmallow import Schema
from marshmallow.fields import Integer, String
| [
6738,
22397,
42725,
1330,
10011,
2611,
198,
6738,
22397,
42725,
13,
25747,
1330,
34142,
11,
10903,
628
] | 4.647059 | 17 |
#!/usr/bin/python3
from Adafruit_MotorHAT import Adafruit_MotorHAT, Adafruit_DCMotor
from time import sleep
if __name__ == "__main__":
motor_driver = Adafruit_MotorHAT(addr=0x60)
left_motor = motor_driver.getMotor(1)
right_motor = motor_driver.getMotor(2)
left_motor.setSpeed(255)
right_motor.setSpeed(255... | [
2,
48443,
14629,
14,
8800,
14,
29412,
18,
198,
198,
6738,
1215,
1878,
4872,
62,
34919,
39,
1404,
1330,
1215,
1878,
4872,
62,
34919,
39,
1404,
11,
1215,
1878,
4872,
62,
9697,
34919,
198,
6738,
640,
1330,
3993,
628,
198,
361,
11593,
3... | 2.381625 | 283 |
import json
import scipy.io as scio
| [
11748,
33918,
198,
11748,
629,
541,
88,
13,
952,
355,
629,
952,
628
] | 2.846154 | 13 |
#1 Upper and Lower
ss = 'Hello, World'
print(ss.upper())
tt = ss.lower()
print(tt)
print(ss)
#2 Count, Strip, Replace
ss = ' Hello,World '
els = ss.count('l')
print(els)
print('***'+ss.strip()+'***') #Strip tira os espaços desnecessários do começo e do final
news = ss.replace ('o', '***')
print(news)
| [
2,
16,
20390,
290,
16048,
198,
198,
824,
796,
705,
15496,
11,
2159,
6,
198,
4798,
7,
824,
13,
45828,
28955,
198,
198,
926,
796,
37786,
13,
21037,
3419,
198,
4798,
7,
926,
8,
198,
4798,
7,
824,
8,
198,
198,
2,
17,
2764,
11,
185... | 2.348148 | 135 |
from tree_intersection import tree_intersection
from tree import BinaryTree, Node
| [
6738,
5509,
62,
3849,
5458,
1330,
5509,
62,
3849,
5458,
198,
6738,
5509,
1330,
45755,
27660,
11,
19081,
198
] | 4.315789 | 19 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# author: Rico Sennrich
#
# This file is part of moses. Its use is licensed under the GNU Lesser General
# Public License version 2.1 or, at your option, any later version.
"""Add flexibility scores to a phrase table half.
You usually don't have to call this script dire... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
2,
1772,
25,
16707,
311,
1697,
7527,
198,
2,
198,
2,
770,
2393,
318,
636,
286,
285,
4629,
13,
220,
6363,
779,
... | 2.631683 | 505 |
import pandas
from pandas.io.json import json_normalize
import matplotlib.pyplot
data_es = pandas.read_json('dataset_es.json')
data_en = pandas.read_json('dataset_en.json')
data_de = pandas.read_json('dataset_de.json')
data_it = pandas.read_json('dataset_it.json')
data = [juntarEstadisticas(data_es), juntarEstadistic... | [
11748,
19798,
292,
198,
6738,
19798,
292,
13,
952,
13,
17752,
1330,
33918,
62,
11265,
1096,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
198,
198,
7890,
62,
274,
796,
19798,
292,
13,
961,
62,
17752,
10786,
19608,
292,
316,
62,
274,... | 2.398649 | 296 |
import itertools
import json
import hashlib
import requests
from django.utils.text import slugify
url = 'http://refugee-info-api-v2.prod.rescueapp.org/v2'
# url = 'http://localhost:8000/v2'
headers = {
'content-type': 'application/json',
'ServiceInfoAuthorization': 'token 3a4a15e8eef71821b75834d179be73236802... | [
11748,
340,
861,
10141,
198,
11748,
33918,
198,
198,
11748,
12234,
8019,
198,
11748,
7007,
198,
6738,
42625,
14208,
13,
26791,
13,
5239,
1330,
31065,
1958,
198,
198,
6371,
796,
705,
4023,
1378,
5420,
2217,
68,
12,
10951,
12,
15042,
12,
... | 2.012655 | 3,556 |
"""
problem 3
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143 ?
"""
# print(is_prime(42))
# print the prime factors
for k in generate_prime_factors(600851475143):
print(k)
| [
37811,
198,
198,
45573,
513,
198,
464,
6994,
5087,
286,
1511,
22186,
389,
642,
11,
767,
11,
1511,
290,
2808,
13,
198,
2061,
318,
262,
4387,
6994,
5766,
286,
262,
1271,
10053,
5332,
1415,
2425,
21139,
5633,
198,
198,
37811,
198,
220,
... | 2.242188 | 128 |
from django.contrib import admin
from home.models import Contact,Quotation
# Register your models here.
admin.site.register(Contact, ContactAdmin)
admin.site.register(Quotation) | [
6738,
42625,
14208,
13,
3642,
822,
1330,
13169,
198,
6738,
1363,
13,
27530,
1330,
14039,
11,
4507,
14221,
198,
2,
17296,
534,
4981,
994,
13,
198,
220,
220,
220,
220,
198,
220,
220,
220,
220,
198,
28482,
13,
15654,
13,
30238,
7,
1782... | 3.280702 | 57 |
from dsn.s_expr.clef import (
BecomeAtom,
SetAtom,
BecomeList,
Insert,
Extend,
)
| [
6738,
288,
16184,
13,
82,
62,
31937,
13,
2375,
69,
1330,
357,
198,
220,
220,
220,
31114,
2953,
296,
11,
198,
220,
220,
220,
5345,
2953,
296,
11,
198,
220,
220,
220,
31114,
8053,
11,
198,
220,
220,
220,
35835,
11,
198,
220,
220,
... | 2.019231 | 52 |
########################################################################
# Copyright 2018 FireEye 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/L... | [
29113,
29113,
7804,
198,
2,
15069,
2864,
3764,
24876,
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,
351,
262,
... | 3.923695 | 249 |
# 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 a... | [
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,
... | 3.494457 | 451 |
import codecs
import os
import argparse
import sys
if __name__ == '__main__':
main()
| [
11748,
40481,
82,
198,
11748,
28686,
198,
11748,
1822,
29572,
198,
11748,
25064,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
... | 2.183673 | 49 |
# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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/lice... | [
2,
19617,
28,
40477,
12,
23,
198,
2,
15069,
12131,
383,
12905,
2667,
32388,
16092,
292,
1039,
46665,
290,
262,
1459,
27039,
4226,
18920,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
3415... | 2.189627 | 2,410 |
import os, discord
from pathlib import Path
from dotenv import load_dotenv
from discord.ext import commands
env_path = Path('.') / '.env'
load_dotenv(dotenv_path=env_path)
client = commands.Bot(
command_prefix=os.getenv('BOT_PREFIX'),
owner_id=os.getenv('BOT_OWNER'),
case_insensitive=True,
help_comman... | [
11748,
28686,
11,
36446,
198,
6738,
3108,
8019,
1330,
10644,
198,
6738,
16605,
24330,
1330,
3440,
62,
26518,
24330,
198,
6738,
36446,
13,
2302,
1330,
9729,
198,
198,
24330,
62,
6978,
796,
10644,
10786,
2637,
8,
1220,
45302,
24330,
6,
19... | 2.530488 | 164 |
# -*- coding: utf-8 -*-
"""
direct expansion units
"""
from __future__ import division
from scipy.interpolate import interp1d
from math import log, ceil
import pandas as pd
import numpy as np
from cea.constants import HEAT_CAPACITY_OF_WATER_JPERKGK
__author__ = "Shanshan Hsieh"
__copyright__ = "Copyright 2015, Archit... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
12942,
7118,
4991,
198,
37811,
198,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
629,
541,
88,
13,
3849,
16104,
378,
1330,
987,
79,
16,
67,
198,
67... | 2.456722 | 543 |
from tkinter import *
from tkinter import filedialog
from PIL import ImageTk, Image
# Declare some global variables to use
img_list = []
page = None
root = Tk()
root.title('Opening files')
r = 1
c = '3'
def open_file():
"""
Opens a list in a list.
Args:
"""
# Open images with GUI
global page
... | [
6738,
256,
74,
3849,
1330,
1635,
198,
6738,
256,
74,
3849,
1330,
5717,
498,
519,
198,
6738,
350,
4146,
1330,
7412,
51,
74,
11,
7412,
198,
198,
2,
16691,
533,
617,
3298,
9633,
284,
779,
198,
9600,
62,
4868,
796,
17635,
198,
7700,
7... | 2.521277 | 564 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import argparse
import os
import json
import glob
import random
import collections
import math
import time
from ops import *
| [
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
... | 3.985714 | 70 |
import pandas as pd
import numpy as np
import io
import requests
| [
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
33245,
198,
11748,
7007,
628
] | 3.473684 | 19 |
"""
Root of the SkPy module. Classes from all submodules are imported here for convenience.
"""
from skpy.core import SkypeObj, SkypeObjs, SkypeEnum, SkypeException, SkypeApiException, SkypeAuthException
from skpy.util import SkypeUtils
from skpy.main import Skype, SkypeEventLoop, SkypeSettings, SkypeTranslator
from ... | [
37811,
198,
30016,
286,
262,
3661,
20519,
8265,
13,
220,
38884,
422,
477,
850,
18170,
389,
17392,
994,
329,
15607,
13,
198,
37811,
198,
198,
6738,
1341,
9078,
13,
7295,
1330,
25254,
49201,
11,
25254,
5944,
8457,
11,
25254,
4834,
388,
... | 3.110276 | 399 |
from equals import equals
if __name__ == '__main__':
print(any(equals, 3, [1, 2, 3, 4])) | [
6738,
21767,
1330,
21767,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
3601,
7,
1092,
7,
4853,
874,
11,
513,
11,
685,
16,
11,
362,
11,
513,
... | 2.125 | 48 |
import datetime
import json
import urllib
import numpy as np
import fix_yahoo_finance
import pandas as pd
import plotly
import plotly.graph_objs as go
from flask import Flask, jsonify, render_template, request,session
from pandas_datareader import data as pdr
from datetime import timedelta
from Store import dataStore
f... | [
11748,
4818,
8079,
198,
11748,
33918,
198,
11748,
2956,
297,
571,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
4259,
62,
40774,
62,
69,
14149,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
7110,
306,
198,
11748,
7110,
306,
13,
... | 2.824022 | 358 |
from graph import BCGraph
from .star_type import StarType
from fimath.geodesic import Geodesic
from fimath.constants import *
import logging
logging.basicConfig(format='%(levelname)s:%(message)s', filename='log.log', level=logging.DEBUG)
| [
6738,
4823,
1330,
11843,
37065,
198,
6738,
764,
7364,
62,
4906,
1330,
2907,
6030,
198,
6738,
277,
320,
776,
13,
469,
4147,
291,
1330,
2269,
4147,
291,
198,
6738,
277,
320,
776,
13,
9979,
1187,
1330,
1635,
198,
198,
11748,
18931,
198,
... | 3.116883 | 77 |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE in the project root
# for license information.
from __future__ import absolute_import, division, print_function, unicode_literals
import ctypes
from ctypes.wintypes import BOOL, DWORD, HANDLE, LARGE_INTEGE... | [
2,
15069,
357,
66,
8,
5413,
10501,
13,
1439,
2489,
10395,
13,
201,
198,
2,
49962,
739,
262,
17168,
13789,
13,
4091,
38559,
24290,
287,
262,
1628,
6808,
201,
198,
2,
329,
5964,
1321,
13,
201,
198,
201,
198,
6738,
11593,
37443,
834,
... | 2.598303 | 707 |
# Problem 17 : Number letter counts
liste_digit_letter = ['one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine', 'ten',
'eleven', 'twelve', 'thirteen', 'fourteen', 'fifteen', 'sixteen', 'seventeen', 'eighteen', 'nineteen']
liste_ten_letter = ['twenty', 'thirty', 'forty',
... | [
2,
20647,
1596,
1058,
7913,
3850,
9853,
628,
198,
4868,
68,
62,
27003,
62,
9291,
796,
37250,
505,
3256,
705,
11545,
3256,
705,
15542,
3256,
705,
14337,
3256,
705,
13261,
3256,
705,
19412,
3256,
705,
26548,
3256,
705,
26022,
3256,
705,
... | 2.392405 | 869 |
"""empty message
Revision ID: 3cbc86a0a9d7
Revises: 77894fcde804
Create Date: 2018-09-27 12:25:31.893545
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3cbc86a0a9d7'
down_revision = '77894fcde804'
branch_labels = None
depends_on = None
| [
37811,
28920,
3275,
198,
198,
18009,
1166,
4522,
25,
513,
66,
15630,
4521,
64,
15,
64,
24,
67,
22,
198,
18009,
2696,
25,
767,
3695,
5824,
16072,
2934,
36088,
198,
16447,
7536,
25,
2864,
12,
2931,
12,
1983,
1105,
25,
1495,
25,
3132,
... | 2.430894 | 123 |
'''
CRUD = Create Read Update Delete
Add necessary sql functions here to use throughout the project.
'''
import pandas as pd
from sqlalchemy import MetaData, Table, Column, Integer, Float, String
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
from sqlalchemy.sql import select
import app.... | [
7061,
6,
198,
9419,
8322,
796,
13610,
4149,
10133,
23520,
198,
4550,
3306,
44161,
5499,
994,
284,
779,
3690,
262,
1628,
13,
198,
7061,
6,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
44161,
282,
26599,
1330,
30277,
6601,
11,
... | 2.826023 | 684 |
import json
from collections import OrderedDict
from django.contrib.gis.gdal import GDALException
from django.contrib.gis.geos import GEOSException, GEOSGeometry
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from rest_framework.fields import Field, Serializer... | [
11748,
33918,
198,
6738,
17268,
1330,
14230,
1068,
35,
713,
198,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
70,
271,
13,
21287,
282,
1330,
27044,
1847,
16922,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
70,
271,
13,
469,
418,
1330,
... | 2.36812 | 1,399 |
# access csv budget_data csv
import os
import csv
from collection import defaultdict
csvpath = os.path.join('python-challenge.', 'election_data.csv')
with open(csvpath,'r', newline='') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',')
csv_header = next(csvreader)
print(f"CSV Header: {csv_header}")... | [
2,
1895,
269,
21370,
4466,
62,
7890,
269,
21370,
198,
11748,
28686,
198,
11748,
269,
21370,
198,
6738,
4947,
1330,
4277,
11600,
198,
40664,
6978,
796,
28686,
13,
6978,
13,
22179,
10786,
29412,
12,
36747,
3540,
2637,
11,
705,
14300,
62,
... | 2.495935 | 615 |
import copy
from unittest import mock
import pytest
from pylon.aws import sqs
@pytest.mark.parametrize(
'useFixtures',
[
('testMessage_inline', 'rawMessage_inline'),
('testMessage_s3', 'rawMessage_s3')
],
indirect=['useFixtures']
)
@pytest.fixture
| [
11748,
4866,
198,
6738,
555,
715,
395,
1330,
15290,
198,
198,
11748,
12972,
9288,
198,
198,
6738,
279,
15158,
13,
8356,
1330,
19862,
82,
198,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7,
198,
220,
220,
220,
705,
1904... | 2.373984 | 123 |
from __future__ import print_function
from itertools import chain
import torch
import torch.nn as nn
from .base_model import BaseModel
from .backbone import create_backbone
from .pa_pool import PAPool
from .pcb_pool import PCBPool
from .global_pool import GlobalPool
from .ps_head import PartSegHead
from ..utils.model i... | [
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
6738,
340,
861,
10141,
1330,
6333,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
6738,
764,
8692,
62,
19849,
1330,
7308,
17633,
198,
6738,
764,
1891,
15992,
1330,... | 3.574074 | 108 |
# -*- coding: utf-8 -*-
# #############################################################################
#
# The MIT License (MIT)
#
# Copyright (c) 2016 Michell Stuttgart
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software... | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
1303,
29113,
29113,
7804,
4242,
198,
2,
198,
2,
383,
17168,
13789,
357,
36393,
8,
198,
2,
198,
2,
15069,
357,
66,
8,
1584,
7631,
12758,
520,
15318,
41651,
198,
2,... | 3.438182 | 550 |
"""
Technical Analysis (TA) Plotter
Library of functions to plot various technical indicator charts.
@author: eyu
"""
import os
import logging
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import constants as c
class TAPlot(object):
"""
Class for TA plots.
"""
| [
37811,
198,
45638,
14691,
357,
5603,
8,
28114,
353,
198,
198,
23377,
286,
5499,
284,
7110,
2972,
6276,
16916,
15907,
13,
198,
198,
31,
9800,
25,
1926,
84,
198,
37811,
198,
198,
11748,
28686,
198,
11748,
18931,
198,
11748,
2603,
29487,
... | 3.23913 | 92 |
#!/usr/bin/env python3
from reportlab.platypus import SimpleDocTemplate
from reportlab.platypus import Paragraph, Spacer, Table, Image
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors
from reportlab.graphics.shapes import Drawing
from reportlab.graphics.charts.barcharts import Vert... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
6738,
989,
23912,
13,
489,
265,
4464,
385,
1330,
17427,
23579,
30800,
198,
6738,
989,
23912,
13,
489,
265,
4464,
385,
1330,
2547,
6111,
11,
1338,
11736,
11,
8655,
11,
7412,
... | 3.525862 | 116 |
"""
Simple training loop; Boilerplate that could apply to any arbitrary neural network,
so nothing in this file really has anything to do with GPT specifically.
"""
import math
import logging
from tqdm import tqdm
import numpy as np
import torch
import torch.optim as optim
from torch.optim.lr_scheduler import Lambda... | [
37811,
198,
26437,
3047,
9052,
26,
3248,
5329,
6816,
326,
714,
4174,
284,
597,
14977,
17019,
3127,
11,
198,
568,
2147,
287,
428,
2393,
1107,
468,
1997,
284,
466,
351,
402,
11571,
5734,
13,
198,
37811,
198,
198,
11748,
10688,
198,
1174... | 3.534722 | 144 |
# Employee is a sub-class of Person and adds the attribute staffnumber
x = Person("Marge", "Simpson")
y = Employee("Homer", "Simpson", "1007")
print(x.Name())
print(y.GetEmployee())
| [
198,
2,
36824,
318,
257,
850,
12,
4871,
286,
7755,
290,
6673,
262,
11688,
3085,
17618,
628,
198,
87,
796,
7755,
7203,
44,
1376,
1600,
366,
8890,
8430,
4943,
198,
88,
796,
36824,
7203,
39,
12057,
1600,
366,
8890,
8430,
1600,
366,
443... | 3 | 62 |
# Copyright 2022 The TensorFlow 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 applica... | [
2,
15069,
33160,
383,
309,
22854,
37535,
46665,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,... | 3.62973 | 370 |
"""Script parses changelog from git based on 2 latest tags, formates changelog to .md format, creates/updates release on gitlab
"""
import subprocess
import os
import re
import json
def run_command( bash_command ):
"""Sends command to system.
"""
process = subprocess.Popen(bash_command.split(), stdout=subp... | [
37811,
7391,
13544,
274,
1488,
417,
519,
422,
17606,
1912,
319,
362,
3452,
15940,
11,
1296,
689,
1488,
417,
519,
284,
764,
9132,
5794,
11,
8075,
14,
929,
19581,
2650,
319,
17606,
23912,
198,
37811,
198,
11748,
850,
14681,
198,
11748,
... | 2.456889 | 1,125 |
import pykazoo.queues
import pykazoo.restrequest
from unittest import TestCase
from unittest.mock import create_autospec
mock_rest_request = create_autospec(pykazoo.restrequest.RestRequest)
| [
11748,
12972,
74,
1031,
2238,
13,
4188,
947,
198,
11748,
12972,
74,
1031,
2238,
13,
2118,
25927,
198,
6738,
555,
715,
395,
1330,
6208,
20448,
198,
6738,
555,
715,
395,
13,
76,
735,
1330,
2251,
62,
2306,
418,
43106,
198,
198,
76,
735... | 2.909091 | 66 |
import numpy as np
from utils import discretize_states
class Agent():
"""Agent base class."""
def __init__(self, action_space, observation_space):
"""Initializes agent class."""
self.action_space = action_space
self.observation_space = observation_space
def act(self, observatio... | [
11748,
299,
32152,
355,
45941,
198,
198,
6738,
3384,
4487,
1330,
1221,
1186,
1096,
62,
27219,
628,
198,
4871,
15906,
33529,
198,
220,
220,
220,
37227,
36772,
2779,
1398,
526,
15931,
628,
220,
220,
220,
825,
11593,
15003,
834,
7,
944,
... | 2.350184 | 1,088 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function)
from ansible.module_utils.basic import AnsibleModule
__metaclass__ = type
DOCUMENTATION = '''
---
module: public_cloud_instance_info
short_description: Retrieve all info for a OVH public cloud instnace
descr... | [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
11593,
37443,
834,
1330,
357,
48546,
62,
11748,
11,
7297,
11,
3601,
62,
8818,
8,
198,
198,
6738,
9093,
856,
13,
... | 2.665829 | 398 |
from __future__ import unicode_literals
from django.apps import AppConfig
| [
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 3.619048 | 21 |
#
# _/_/_/ _/_/_/ _/_/_/ _/_/_/ _/ _/ _/_/_/
# _/ _/ _/ _/ _/ _/ _/ _/ _/
# _/_/_/ _/_/_/ _/ _/ _/_/ _/_/
# _/ _/ _/ _/ _/ _/ _/ _/ _/
# _/_/_/ _/ _/ _/_/_/ _/_/_/ _/ _/ _/_/_/
#
# By Vlad Ivano... | [
2,
198,
2,
220,
220,
220,
220,
220,
4808,
47835,
47835,
14,
220,
220,
220,
4808,
47835,
47835,
14,
220,
220,
220,
4808,
47835,
47835,
14,
220,
220,
220,
4808,
47835,
47835,
14,
220,
4808,
14,
220,
220,
220,
4808,
14,
220,
220,
220... | 1.560897 | 312 |
import argparse
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import codecs
import getpass
diagram = DbMap()
diagram.run()
| [
11748,
1822,
29572,
198,
6738,
44161,
282,
26599,
1330,
2251,
62,
18392,
198,
6738,
44161,
282,
26599,
13,
579,
1330,
6246,
10297,
198,
11748,
40481,
82,
198,
11748,
651,
6603,
628,
198,
10989,
6713,
796,
360,
65,
13912,
3419,
198,
1098... | 3.391304 | 46 |
# Generated by Django 3.2 on 2021-04-11 19:39
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
17,
319,
33448,
12,
3023,
12,
1157,
678,
25,
2670,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.966667 | 30 |
from functools import partial
from tornado import gen
from tornado.gen import UnknownKeyError
from tornado.ioloop import IOLoop
version_tuple = (0, 1, '+')
version = '.'.join(map(str, version_tuple))
"""Current version of YieldPoints."""
__all__ = [
'TimeoutException', 'WaitAny', 'WithTimeout', 'Timeout', 'Ca... | [
6738,
1257,
310,
10141,
1330,
13027,
198,
198,
6738,
33718,
1330,
2429,
198,
6738,
33718,
13,
5235,
1330,
16185,
9218,
12331,
198,
6738,
33718,
13,
1669,
11224,
1330,
314,
3535,
11224,
628,
198,
9641,
62,
83,
29291,
796,
357,
15,
11,
... | 2.895 | 400 |
import re
import types
from collections import defaultdict
from itertools import izip
from nearpy.storage.storage import Storage
class MemoryStorage(Storage):
""" Storage in memory. """
def clear(self, bucketkeys):
"""
Parameters
----------
bucket_keys: iterable of string
... | [
11748,
302,
198,
11748,
3858,
198,
198,
6738,
17268,
1330,
4277,
11600,
198,
6738,
340,
861,
10141,
1330,
220,
528,
541,
198,
6738,
1474,
9078,
13,
35350,
13,
35350,
1330,
20514,
628,
198,
4871,
14059,
31425,
7,
31425,
2599,
198,
220,
... | 2.280193 | 621 |
from .chunked_embedding import chunked_embedding, script_chunked_embedding
from .generate_prefetching_rule import generate_prefetching_rule
from .lazy_loading import lazy_loading
| [
6738,
764,
354,
2954,
276,
62,
20521,
12083,
1330,
16058,
276,
62,
20521,
12083,
11,
4226,
62,
354,
2954,
276,
62,
20521,
12083,
198,
6738,
764,
8612,
378,
62,
3866,
69,
7569,
278,
62,
25135,
1330,
7716,
62,
3866,
69,
7569,
278,
62,... | 3.196429 | 56 |
#!/usr/bin/env python
from distutils.core import setup
import sys, os
# For some commands, use setuptools
if len(set(['develop', 'sdist', 'release', 'bdist_egg', 'bdist_rpm', 'bdist',
'bdist_dumb', 'bdist_wininst', 'install_egg_info', 'build_sphinx',
'egg_info', 'easy_install', 'upload']).inte... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
6738,
1233,
26791,
13,
7295,
1330,
9058,
198,
11748,
25064,
11,
28686,
198,
198,
2,
1114,
617,
9729,
11,
779,
900,
37623,
10141,
198,
361,
18896,
7,
2617,
7,
17816,
16244,
3256,
... | 2.445013 | 782 |
import asyncio
import aiohttp
import random
import requests
import time
from settings import string, TOKEN
ID = []
# with open('message.txt', mode='r', encoding='utf8'):
asyncio.run(main())
| [
11748,
30351,
952,
198,
11748,
257,
952,
4023,
198,
11748,
4738,
198,
11748,
7007,
198,
11748,
640,
198,
6738,
6460,
1330,
4731,
11,
5390,
43959,
198,
198,
2389,
796,
17635,
198,
198,
2,
351,
1280,
10786,
20500,
13,
14116,
3256,
4235,
... | 3.126984 | 63 |
import requests
import pandas as pd
import datetime as dt
from bs4 import BeautifulSoup
def my_to_datetime(date_str):
"""
Transform dates with with 01 - 24 hours to 00 - 23 hours.
It is based on this question on Stack Over Flow:
https://stackoverflow.com/questions/43359479/pandas-parsing-2400-inst... | [
11748,
7007,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
4818,
8079,
355,
288,
83,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
628,
198,
4299,
616,
62,
1462,
62,
19608,
8079,
7,
4475,
62,
2536,
2599,
198,
220,
220,
220,
... | 2.083105 | 2,924 |
from dataclasses import dataclass
from bindings.gmd.time_topology_complex_type import TimeTopologyComplexType
__NAMESPACE__ = "http://www.opengis.net/gml"
@dataclass
class TimeTopologyComplex(TimeTopologyComplexType):
"""A temporal topology complex shall be the connected acyclic directed
graph composed of te... | [
6738,
4818,
330,
28958,
1330,
4818,
330,
31172,
198,
6738,
34111,
13,
70,
9132,
13,
2435,
62,
4852,
1435,
62,
41887,
62,
4906,
1330,
3862,
9126,
1435,
5377,
11141,
6030,
198,
198,
834,
45,
29559,
47,
11598,
834,
796,
366,
4023,
1378,
... | 3.70195 | 359 |
import logging
from aiohttp import web
log = logging.getLogger(__name__)
routes = web.RouteTableDef()
@routes.get(r'/fonts/{fontstack:\s+}/{range:\s+}.pbf', name='tiles')
@routes.get(r'/tiles/{z:\d+}/{x:\d+}/{y:\d+}.pbf', name='tiles')
| [
11748,
18931,
198,
198,
6738,
257,
952,
4023,
1330,
3992,
628,
198,
6404,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
198,
81,
448,
274,
796,
3992,
13,
43401,
10962,
7469,
3419,
628,
198,
31,
81,
448,
274,
13,
1136,
7... | 2.131579 | 114 |
from .bitbucket import Bitbucket
from .github import Github
from .gitlab import Gitlab
from .gogs import Gogs
from .gitea import Gitea
| [
6738,
764,
2545,
27041,
316,
1330,
4722,
27041,
316,
198,
6738,
764,
12567,
1330,
38994,
198,
6738,
764,
18300,
23912,
1330,
15151,
23912,
198,
6738,
764,
70,
18463,
1330,
402,
18463,
198,
6738,
764,
70,
578,
64,
1330,
402,
578,
64,
1... | 3.214286 | 42 |
"""
Plot input and reconstruction statistics, as generated by calculate_encodings.py
with the --statistics flag, with output file pd_friendly_stats.txt.
Usage:
"""
import argparse
from pathlib import Path
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import rcParams as rc
from utilit... | [
37811,
198,
43328,
5128,
290,
25056,
7869,
11,
355,
7560,
416,
15284,
62,
12685,
375,
654,
13,
9078,
198,
4480,
262,
1377,
14269,
3969,
6056,
11,
351,
5072,
2393,
279,
67,
62,
13120,
62,
34242,
13,
14116,
13,
198,
198,
28350,
25,
19... | 2.483081 | 857 |
from app.conf.environ import env
NOTION_TOKEN = env('NOTION_TOKEN', cast=str, default='')
| [
6738,
598,
13,
10414,
13,
268,
2268,
1330,
17365,
198,
198,
11929,
2849,
62,
10468,
43959,
796,
17365,
10786,
11929,
2849,
62,
10468,
43959,
3256,
3350,
28,
2536,
11,
4277,
28,
7061,
8,
198
] | 2.676471 | 34 |
# Введение
# В этом уроке мы увидели, как создать классификатор изображений, прикрепив головку из плотных слоев к предварительно
# обученной основе. База, которую мы использовали, была от модели под названием VGG16. Мы увидели, что архитектура
# VGG16 была склонна переоценивать этот набор данных. В ходе этого курса вы ... | [
2,
12466,
240,
38857,
16843,
43666,
16843,
22177,
18849,
16843,
198,
2,
12466,
240,
220,
141,
235,
20375,
25443,
120,
220,
35072,
21169,
25443,
118,
16843,
12466,
120,
45035,
220,
35072,
38857,
18849,
43666,
16843,
30143,
18849,
11,
12466,
... | 1.255448 | 4,772 |
# Uses python3
import sys
input = sys.stdin.read()
n = int(input)
sequence = list(optimal_sequence(n))
print(len(sequence) - 1)
for x in sequence:
print(x, end=' ')
| [
2,
36965,
21015,
18,
198,
11748,
25064,
198,
198,
15414,
796,
25064,
13,
19282,
259,
13,
961,
3419,
198,
77,
796,
493,
7,
15414,
8,
198,
43167,
796,
1351,
7,
8738,
4402,
62,
43167,
7,
77,
4008,
198,
4798,
7,
11925,
7,
43167,
8,
... | 2.575758 | 66 |
import cv2
import numpy as np
def get_boundary_point(y, x, angle, H, W):
'''
Given point y,x with angle, return a two point in image boundary with shape [H, W]
return point:[x, y]
'''
point1 = None
point2 = None
if angle == -np.pi / 2:
point1 = (x, 0)
point2 = (x, H-1)... | [
11748,
269,
85,
17,
198,
11748,
299,
32152,
355,
45941,
628,
198,
4299,
651,
62,
7784,
560,
62,
4122,
7,
88,
11,
2124,
11,
9848,
11,
367,
11,
370,
2599,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
11259,
966,
331,
11,
87,... | 1.686492 | 992 |
from test_case import *
import numpy as np
import sail
import time
import unittest
elementwise_options = [(12,), (512, 128), (3, 14, 2), (8, 12, 12, 12), (3, 1, 5, 6), (13, 14)]
broadcasted_options = [(512, 128), (3, 14, 2), (8, 12, 12, 12), (3, 1, 5, 6), (13, 14)]
unary_elementwise_options = [(12,), (32, 12), (3, 14,... | [
6738,
1332,
62,
7442,
1330,
1635,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
14936,
198,
11748,
640,
198,
11748,
555,
715,
395,
198,
198,
30854,
3083,
62,
25811,
796,
47527,
1065,
11,
828,
357,
25836,
11,
13108,
828,
357,
18,
11,... | 2.189076 | 238 |
import re
from django.conf import settings
from django.http import HttpResponsePermanentRedirect, HttpResponseRedirect
from django.utils.timezone import now
from .models import PageNotFoundEntry
IGNORED_404S = getattr(settings, 'IGNORED_404S', [
r'^/static/',
r'^/favicon.ico'
])
| [
11748,
302,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
31077,
47,
30312,
7738,
1060,
11,
367,
29281,
31077,
7738,
1060,
198,
6738,
42625,
14208,
13,
26791,
13,
2435,
11340,
... | 2.90099 | 101 |
# -*- coding: utf-8 -*-
"""This file imports Python modules that registers scaffolders."""
from l2tscaffolder.scaffolders import plaso_sqlite
from l2tscaffolder.scaffolders import timesketch_index
from l2tscaffolder.scaffolders import timesketch_sketch
from l2tscaffolder.scaffolders import turbinia
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
1212,
2393,
17944,
11361,
13103,
326,
28441,
41498,
727,
364,
526,
15931,
198,
6738,
300,
17,
912,
66,
2001,
19892,
13,
1416,
2001,
727,
364,
1330,
458,
292,
78,
... | 2.884615 | 104 |
""" UTPM == Univariate Taylor Polynomial of Matrices.
UTPM arithmetic means to apply functions to
..math::
[A]_D = \sum_{d=0}^{D-1} A_d t^d
A_d = \frac{d^d}{dt^d}|_{t=0} \sum_{k=0}^{D-1} A_k t^k
The underlying data structure is a numpy.array of shape (D,P,N,M)
where
D: D number of coefficients, i.e. D-1 is ... | [
37811,
19255,
5868,
6624,
791,
42524,
8121,
12280,
26601,
498,
286,
6550,
45977,
13,
198,
198,
3843,
5868,
34768,
1724,
284,
4174,
5499,
284,
198,
492,
11018,
3712,
198,
220,
220,
220,
685,
32,
60,
62,
35,
796,
3467,
16345,
23330,
67,... | 2.74744 | 293 |
from setuptools import find_packages, setup
setup(
name='painterbot',
packages=find_packages(where="src/painterbot"),
use_scm_version={
"write_to": "src/painterbot/_version.py",
'fallback_version': "0.0.0-server",
},
license='Apache-2.0',
author='Marcelo Duarte Trevisani',
a... | [
6738,
900,
37623,
10141,
1330,
1064,
62,
43789,
11,
9058,
198,
198,
40406,
7,
198,
220,
220,
220,
1438,
11639,
35436,
353,
13645,
3256,
198,
220,
220,
220,
10392,
28,
19796,
62,
43789,
7,
3003,
2625,
10677,
14,
35436,
353,
13645,
1234... | 2.323077 | 325 |
from typing import Any, List
from torch import nn
from torchmetrics import MetricCollection, Accuracy, F1, Precision, Recall, CohenKappa, MatthewsCorrcoef, AUROC
from torchmetrics import CosineSimilarity, MeanAbsoluteError, MeanAbsolutePercentageError, MeanSquaredError, PearsonCorrcoef, R2Score, SpearmanCorrcoef
import... | [
6738,
19720,
1330,
4377,
11,
7343,
198,
6738,
28034,
1330,
299,
77,
198,
6738,
28034,
4164,
10466,
1330,
3395,
1173,
36307,
11,
33222,
11,
376,
16,
11,
39281,
11,
44536,
11,
17154,
42,
20975,
11,
22233,
10606,
81,
1073,
891,
11,
317,
... | 3.427586 | 145 |
import os
import logging
from .consts import *
# Language - settings
lang = "eng"
# Logger - settings
available_languages = ["pl", "eng"]
LOGGING_FORMAT = "\r%(asctime)s, %(levelname)-8s [`%(funcName)s` %(filename)s:%(lineno)d] %(message)s"
# Api dates format
DATE_FORMAT = "%Y-%m-%d"
| [
11748,
28686,
198,
11748,
18931,
198,
198,
6738,
764,
1102,
6448,
1330,
1635,
198,
198,
2,
15417,
532,
6460,
198,
17204,
796,
366,
1516,
1,
198,
198,
2,
5972,
1362,
532,
6460,
198,
15182,
62,
75,
33213,
796,
14631,
489,
1600,
366,
1... | 2.377049 | 122 |
import json
from django.views.generic import TemplateView
from django.conf import settings
from django.http import Http404
from base import mods
| [
11748,
33918,
198,
6738,
42625,
14208,
13,
33571,
13,
41357,
1330,
37350,
7680,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
4023,
1330,
367,
29281,
26429,
198,
198,
6738,
2779,
1330,
13743,
628
] | 3.868421 | 38 |
from netqasm.sdk.epr_socket import EprMeasBasis, EPRSocket
from netqasm.sdk.external import NetQASMConnection
if __name__ == "__main__":
main()
| [
6738,
2010,
80,
8597,
13,
21282,
74,
13,
538,
81,
62,
44971,
1330,
412,
1050,
5308,
292,
15522,
271,
11,
412,
4805,
39105,
198,
6738,
2010,
80,
8597,
13,
21282,
74,
13,
22615,
1330,
3433,
48,
1921,
44,
32048,
628,
198,
198,
361,
1... | 2.559322 | 59 |
# Copyright (c) AIRBUS and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import pickle
from skdecide.discrete_optimization.generic_tools.do_problem import Solution, Problem, \
build_eva... | [
2,
15069,
357,
66,
8,
31600,
45346,
290,
663,
29116,
13,
198,
2,
770,
2723,
2438,
318,
11971,
739,
262,
17168,
5964,
1043,
287,
262,
198,
2,
38559,
24290,
2393,
287,
262,
6808,
8619,
286,
428,
2723,
5509,
13,
198,
198,
6738,
11593,
... | 3 | 251 |
# coding: utf-8
import sys
import numpy as np
from Node import Node
# set the maximal recursion limits here.
sys.setrecursionlimit(10000)
class baseClassDecisionTree(object):
'''
The main class of decision tree.
'''
def __init__(self, feature_discrete=[], treeType='C4.5'):
'''
featur... | [
2,
19617,
25,
3384,
69,
12,
23,
198,
198,
11748,
25064,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
19081,
1330,
19081,
198,
198,
2,
900,
262,
40708,
664,
24197,
7095,
994,
13,
198,
17597,
13,
2617,
8344,
24197,
32374,
7,
49388,
... | 2.028666 | 9,349 |
# Copyright (c) 2010 Doug Hellmann. All rights reserved.
#
"""
"""
# end_pymotw_header
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-i", metavar="in-file", type=argparse.FileType("rt"))
parser.add_argument("-o", metavar="out-file", type=argparse.FileType("wt"))
try:
results = parser.... | [
2,
15069,
357,
66,
8,
3050,
15115,
5783,
9038,
13,
220,
1439,
2489,
10395,
13,
198,
2,
198,
37811,
198,
37811,
198,
198,
2,
886,
62,
79,
4948,
313,
86,
62,
25677,
198,
11748,
1822,
29572,
198,
198,
48610,
796,
1822,
29572,
13,
281... | 2.714286 | 168 |
import pandas as pd
from enum import Enum
import random
from game.division import Division
from game.team import Team
| [
11748,
19798,
292,
355,
279,
67,
198,
6738,
33829,
1330,
2039,
388,
198,
11748,
4738,
198,
6738,
983,
13,
21426,
1330,
7458,
198,
6738,
983,
13,
15097,
1330,
4816,
628,
198
] | 3.870968 | 31 |
__all__ = ["models", "async_beatsaver", "beatsaver"] | [
834,
439,
834,
796,
14631,
27530,
1600,
366,
292,
13361,
62,
1350,
1381,
8770,
1600,
366,
1350,
1381,
8770,
8973
] | 2.6 | 20 |
""" pre = state in previous time step (2+N vector)
curr = current state (2+N vector)
N = number of phases """
if __name__ == "__main__":
pre = [0, 0, 1, 2, 3]
curr = [0, 0, 5, 6, 7]
N = 3
#print (delayReward(pre,curr,N))
| [
37811,
662,
796,
1181,
287,
2180,
640,
2239,
357,
17,
10,
45,
15879,
8,
198,
220,
220,
220,
1090,
81,
796,
1459,
1181,
357,
17,
10,
45,
15879,
8,
198,
220,
220,
220,
399,
796,
1271,
286,
21164,
37227,
628,
628,
198,
361,
11593,
... | 2.223214 | 112 |
import numpy as np
import matplotlib.pyplot as plt
import time
import os
import scipy.sparse as sps
if __name__ == "__main__":
main()
| [
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
640,
198,
11748,
28686,
198,
11748,
629,
541,
88,
13,
82,
29572,
355,
599,
82,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
... | 2.74 | 50 |
from django.db import models
# Create your models here.
class Comment(models.Model):
"""
评论
"""
obj_type_id = models.IntegerField('对象类别') # 1.博客 2.评论
obj_id = models.IntegerField('对象id')
username = models.CharField('用户名', max_length=50, null=True, blank=True)
name = models.CharField('姓名'... | [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
198,
2,
13610,
534,
4981,
994,
13,
628,
198,
4871,
18957,
7,
27530,
13,
17633,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
5525,
107,
226,
164,
106,
118,
198,
220,
220,
220,
... | 2.071895 | 459 |
#!/usr/bin/env python
import json
import sys
import os
from web3 import Web3
from eth_account import Account
def getenv_or_exit(name):
""" Gets the required variable from the environment. Closes the application
with error if it's not set.
Args:
name (string) - The name of required environment vari... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
33918,
198,
11748,
25064,
198,
11748,
28686,
198,
6738,
3992,
18,
1330,
5313,
18,
198,
6738,
4555,
62,
23317,
1330,
10781,
628,
198,
4299,
651,
24330,
62,
273,
62,
37023,
7,
367... | 2.741688 | 782 |
#!/usr/bin/env python3
# Hugo Hromic <hugo.hromic@insight-centre.org>
"""Generate timeline and events in JSON representation for visualisation."""
import json
from argparse import ArgumentParser
from helpers.utils import get_reader, get_writer, read_step_communities
from helpers.timeline import Timeline
def main():
... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
25930,
367,
398,
291,
1279,
71,
1018,
78,
13,
71,
398,
291,
31,
1040,
432,
12,
1087,
260,
13,
2398,
29,
198,
198,
37811,
8645,
378,
15264,
290,
2995,
287,
19449,
10552,
329,... | 2.665957 | 940 |
from botocore.exceptions import ClientError
from progress.bar import ChargingBar
import boto3
BUCKET_NAME = 'your_bucket_name'
PROFILE = 'stage' # Select required profile from ~/.aws/credentials
session = boto3.Session(profile_name=PROFILE)
stage_s3_client = session.client('s3')
s3 = session.resource('s3')
buck... | [
6738,
10214,
420,
382,
13,
1069,
11755,
1330,
20985,
12331,
198,
6738,
4371,
13,
5657,
1330,
14797,
278,
10374,
198,
11748,
275,
2069,
18,
198,
198,
33,
16696,
2767,
62,
20608,
796,
705,
14108,
62,
27041,
316,
62,
3672,
6,
198,
31190,... | 2.198257 | 459 |
from .nms_nd import nms_nd
from .bbox_overlaps_nd import bbox_overlaps_nd
from .roi_align_nd import RoIAlign
from .roi_align_rotated_nd import RoIAlignRotated
from .deform_pool_2d import DeformRoIPooling2dPack, ModulatedDeformRoIPooling2dPack
from .deform_conv_2d import DeformConv2dPack
from .modulated_deform_conv_2d... | [
6738,
764,
77,
907,
62,
358,
1330,
299,
907,
62,
358,
198,
6738,
764,
65,
3524,
62,
2502,
75,
1686,
62,
358,
1330,
275,
3524,
62,
2502,
75,
1686,
62,
358,
198,
6738,
764,
305,
72,
62,
31494,
62,
358,
1330,
5564,
40,
2348,
570,
... | 2.274691 | 324 |
import mock
from xml2kinto.kinto import get_kinto_records
| [
11748,
15290,
198,
6738,
35555,
17,
74,
20424,
13,
74,
20424,
1330,
651,
62,
74,
20424,
62,
8344,
3669,
628,
628,
628,
628
] | 2.826087 | 23 |
"""
Author: Alexandre Lepage
Date: May 2019
"""
class TheStack:
"""
Custom stack class
"""
__keys:list # The array holding the keys
__intitial_size:int = 8 # The size of the array holding the stack
def __init__(self):
"""
Contructor of the Class
Initialized the list an... | [
37811,
198,
13838,
25,
21000,
260,
42957,
496,
198,
10430,
25,
1737,
13130,
198,
37811,
198,
198,
4871,
383,
25896,
25,
198,
220,
220,
220,
37227,
220,
198,
220,
220,
220,
8562,
8931,
1398,
198,
220,
220,
220,
37227,
198,
220,
220,
... | 1.948005 | 2,231 |
import requests
import json
from requests.auth import HTTPDigestAuth
from utils.errors import check_error
| [
11748,
7007,
198,
11748,
33918,
198,
6738,
7007,
13,
18439,
1330,
7154,
51,
5760,
328,
395,
30515,
198,
6738,
3384,
4487,
13,
48277,
1330,
2198,
62,
18224,
628
] | 3.821429 | 28 |
from files.ListObject import variables, variableExist, callFunction
from files.Operations import add, subtract, multiply, divide
from files.FunctionsForSython import error | [
6738,
3696,
13,
8053,
10267,
1330,
9633,
11,
7885,
3109,
396,
11,
869,
22203,
198,
6738,
3696,
13,
18843,
602,
1330,
751,
11,
34128,
11,
29162,
11,
14083,
198,
6738,
3696,
13,
24629,
2733,
1890,
50,
7535,
1330,
4049
] | 4.384615 | 39 |