code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "b0064a5cd494d5ad232f27c63a4df2c56a4c6a66",
"index": 5241,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
x = int(input('INGRESA VALOR PARA X: \n'))
y = int(input('INGRESA VALOR PARA Y: \n'))
x1 = int(input('INGRESA VALOR PARA X1: \n'))
y1 = int(input('INGRESA VALOR PARA Y1: \n'))
Bresenhams(x, y, x1,... | flexible | {
"blob_id": "e75bee4e014aa369131c3e200ce874a8840b5690",
"index": 3573,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n x = int(input('INGRESA VALOR PARA X: \\n'))\n y = int(input('INGRESA VALOR PARA Y: \\n'))\n x1 = int(input('INGRESA VALOR PARA X1: \\n'))\n y1 = int(input('I... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import unittest
from selenium import webdriver
from appium import webdriver
from time import sleep
import os
from PublicResour import Desired_Capabilities
"""
登录状态下检查“我的”界面的所有的功能模块
大部分执行用例时在“我的”界面
"""
#Return ads path relative to this file not cwd
PATH = lambda p: ... | normal | {
"blob_id": "883a50cf380b08c479c30edad3a2b61a6f3075cc",
"index": 4030,
"step-1": "#!/usr/bin/env python\n# -*- coding:utf-8 -*-\nimport unittest\nfrom selenium import webdriver\nfrom appium import webdriver\nfrom time import sleep\nimport os\nfrom PublicResour import Desired_Capabilities\n\n\"\"\"\n 登录状态下检查“我... | [
0
] |
<|reserved_special_token_0|>
class IntCodeComputer:
def __init__(self, code):
self.defaultCode = code
self.runningCode = self.defaultCode.copy()
self.instructionPointer = 0
self.outputQueue = queue.Queue()
self.relativeBase = 0
def AccessLocation(self, index):
... | flexible | {
"blob_id": "6eac04bc10ef712ab4e2cde4730950ddcbe42585",
"index": 8983,
"step-1": "<mask token>\n\n\nclass IntCodeComputer:\n\n def __init__(self, code):\n self.defaultCode = code\n self.runningCode = self.defaultCode.copy()\n self.instructionPointer = 0\n self.outputQueue = queue.Q... | [
5,
8,
9,
10,
12
] |
<|reserved_special_token_0|>
class Comment(objstore.Item):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, *a, ... | flexible | {
"blob_id": "e398908ba74306c5a746d7643b38f08651cf92ec",
"index": 4205,
"step-1": "<mask token>\n\n\nclass Comment(objstore.Item):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, *a, **k):\n relatesTo = ... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/python
import sys
f = open('/etc/passwd','r')
users_and_ids = []
for line in f:
u,_,id,_ = line.split(':',3)
users_and_ids.append((u,int(id)))
users_and_ids.sort(key = lambda pair:pair[1])
for id,usr in users_and_ids:
print id,usr
| normal | {
"blob_id": "52426ec670dd5ca522c7fb0b659e3a42b16ff326",
"index": 8851,
"step-1": "#!/usr/bin/python\nimport sys\nf = open('/etc/passwd','r')\nusers_and_ids = []\nfor line in f:\n u,_,id,_ = line.split(':',3)\n users_and_ids.append((u,int(id)))\nusers_and_ids.sort(key = lambda pair:pair[1])\nfor id,usr in users... | [
0
] |
# Name: CreateDatabase.py
# Description: Connects to a point in time in the geodatabase in
# PostgreSQL using database authentication.
# Import system modules
import arcpy
import os
arcpy.env.workspace="Database Connections"
if arcpy.Exists ("Prueba6.sde")==False:
arcpy.CreateDatabaseConnection_m... | normal | {
"blob_id": "6e98dfd758700c57ddbb17624472ce2c23cbee6a",
"index": 2036,
"step-1": "# Name: CreateDatabase.py\n# Description: Connects to a point in time in the geodatabase in\n# PostgreSQL using database authentication.\n\n# Import system modules\nimport arcpy\nimport os\n\n\n\n\narcpy.env.workspace=... | [
0
] |
# Copyright 2019-2020 the ProGraML authors.
#
# Contact Chris Cummins <chrisc.101@gmail.com>.
#
# 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... | normal | {
"blob_id": "09788cf04ab5190a33b43e3756f4dbd7d78977a5",
"index": 581,
"step-1": "<mask token>\n\n\nclass GraphTupleData(Base, sqlutil.PluralTablenameFromCamelCapsClassNameMixin):\n <mask token>\n id: int = sql.Column(sql.Integer, sql.ForeignKey('graph_tuples.id',\n onupdate='CASCADE', ondelete='CASC... | [
40,
44,
48,
54,
63
] |
#!/usr/bin/env python3
"""Shannon entropy and P affinities"""
import numpy as np
def HP(Di, beta):
"""
Function that calculates shannon entropy
"""
P = np.exp(-Di * beta)
sumP = np.sum(P)
Pi = P / sumP
Hi = -np.sum(Pi * np.log2(Pi))
return (Hi, Pi)
| normal | {
"blob_id": "0b05b027e3c3147aa2b9c35a0bdc33633ba6e658",
"index": 7129,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef HP(Di, beta):\n \"\"\"\n Function that calculates shannon entropy\n \"\"\"\n P = np.exp(-Di * beta)\n sumP = np.sum(P)\n Pi = P / sumP\n Hi = -np.sum(Pi * np.... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class CampaignNegativeKeywords(Client):
<|reserved_special_token_0|>
@sp_endpoint('/v2/sp/campaignNegativeKeywords/{}', method='DELETE')
def delete_campaign_negative_keyword(self, keywordId, **kwargs
) ->ApiResponse:
"""
delete_campaign_negative_keywo... | flexible | {
"blob_id": "f6e0215f9992ceab51887aab6a19f58a5d013eb4",
"index": 7829,
"step-1": "<mask token>\n\n\nclass CampaignNegativeKeywords(Client):\n <mask token>\n\n @sp_endpoint('/v2/sp/campaignNegativeKeywords/{}', method='DELETE')\n def delete_campaign_negative_keyword(self, keywordId, **kwargs\n ) -... | [
5,
6,
8,
9,
10
] |
import sys
import os
sys.path.append(os.pardir)
from ch03.softmax import softmax
from ch04.cross_entropy_error_batch import cross_entropy_error
import numpy as np
class SoftmaxWithLossLayer:
"""
x -> [Softmax] -> y -> [CrossEntropyError with t] -> out
In the textbook, this class has `loss` field.
"""... | normal | {
"blob_id": "8ae64c65d6d5dc9f2a99aeceff31657deff06c15",
"index": 5236,
"step-1": "<mask token>\n\n\nclass SoftmaxWithLossLayer:\n <mask token>\n\n def __init__(self):\n self.y = None\n self.t = None\n\n def forward(self, x, t):\n \"\"\"\n x: input to softmax\n t: teach... | [
4,
5,
6,
7,
8
] |
# Imports
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils import data
from torch.utils.data import DataLoader
import torchvision.datasets as datasets
import torchvision.transforms as transforms
# Create Fully Connected Network
class NN(nn.Module):
def... | normal | {
"blob_id": "1edb92a4905048f3961e3067c67ef892d7b8a034",
"index": 9154,
"step-1": "<mask token>\n\n\nclass NN(nn.Module):\n\n def __init__(self, input_size, num_classes):\n super(NN, self).__init__()\n self.fc1 = nn.Linear(input_size, 50)\n self.fc2 = nn.Linear(50, num_classes)\n\n def ... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
admin.site.register(Profile)
admin.site.register(Address)
<|reserved_special_token_1|>
from django.contrib import admin
from .models import Profile, Address
admin.site.register(Profile)
admin.site.register(Address)
| flexible | {
"blob_id": "4cc6a9c48e174b33ed93d7bda159fcc3a7b59d4c",
"index": 6727,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Profile)\nadmin.site.register(Address)\n",
"step-3": "from django.contrib import admin\nfrom .models import Profile, Address\nadmin.site.register(Profile)\nadmin.sit... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "e7bb5e9a91ec6a1644ddecd52a676c8136087941",
"index": 4719,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('printer', '... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
__author__ = 'zhouhenglc'
TIME_FORMAT = '%Y-%m-%d %H:%M:%S'
ENCODING = 'utf-8'
G_MULTI_MODE = [6]
STATUS_ONLINE = 64
STATUS_OFFLINE = 128
TOKEN_BAD_FORMAT = 'token_bad_format'
TOKEN_EXPIRED = 'token_expired'
TOKEN_NOT_STORAGE = 'token_not_storage'
TOKEN_REQUI... | flexible | {
"blob_id": "4605a3f88c73b43fa7611a10a400ad2d4d7c6dfc",
"index": 2273,
"step-1": "<mask token>\n",
"step-2": "__author__ = 'zhouhenglc'\nTIME_FORMAT = '%Y-%m-%d %H:%M:%S'\nENCODING = 'utf-8'\nG_MULTI_MODE = [6]\nSTATUS_ONLINE = 64\nSTATUS_OFFLINE = 128\nTOKEN_BAD_FORMAT = 'token_bad_format'\nTOKEN_EXPIRED = 't... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ServiceProviderForm(forms.ModelForm):
<|reserved_special_token_0|>
class Meta:
model = models.ServiceProvider
fields = 'xml',
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class S... | flexible | {
"blob_id": "e018d28cbacb568596eb9a5134581db960111e14",
"index": 9835,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ServiceProviderForm(forms.ModelForm):\n <mask token>\n\n\n class Meta:\n model = models.ServiceProvider\n fields = 'xml',\n",
"step-3": "<mask token>\n\n\n... | [
0,
1,
2,
3,
4
] |
x = int(input('masukkan'))
y = int(input('masukkan'))
def jumlah(x, y):
hasil = x + y
return hasil
print('hasil dari', x, '+', y, '=', jumlah(x, y))
k = jumlah(2, 4) + 1
print(k)
| normal | {
"blob_id": "d8482da6b9983d990da980c3a5edab0c49a28229",
"index": 2219,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef jumlah(x, y):\n hasil = x + y\n return hasil\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef jumlah(x, y):\n hasil = x + y\n return hasil\n\n\nprint('hasil da... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Sharem8Config(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Sharem8Config(AppConfig):
name = 'ShareM8'
<|reserved_special_token_1|>
from django.app... | flexible | {
"blob_id": "fd4d785d933c3a200f4aba094ecfe1e1c76737a5",
"index": 7629,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Sharem8Config(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Sharem8Config(AppConfig):\n name = 'ShareM8'\n",
"step-4": "from django.apps import App... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append(rootPath)
<|reserved_special_token_0|>
manager.add_command('db', MigrateCommand)
if __name__ == '__main__':
manager.run()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
curPath = os.path.abspath(o... | flexible | {
"blob_id": "69ebdab4cd1f0b5154305410381db252205ff97d",
"index": 9768,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(rootPath)\n<mask token>\nmanager.add_command('db', MigrateCommand)\nif __name__ == '__main__':\n manager.run()\n",
"step-3": "<mask token>\ncurPath = os.path.abspath(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for tr in infoBox.find_all('tr'):
if len(tr.findChildren('th', recursive=False)) > 0 and len(tr.
findChildren('td', recursive=False)) > 0:
header = tr.findChildren('th', recursive=False)[0]
data = tr.fi... | flexible | {
"blob_id": "f45ca4e75de7df542fbc65253bb9cc44a868522a",
"index": 6398,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor tr in infoBox.find_all('tr'):\n if len(tr.findChildren('th', recursive=False)) > 0 and len(tr.\n findChildren('td', recursive=False)) > 0:\n header = tr.findChildren(... | [
0,
1,
2,
3,
4
] |
#! python3
import os
import shutil
import re
import argparse
def create_test_file(filename):
with open(filename, "w") as f:
f.write("foobar")
def create_test_files(test_dir, file_prefix):
if os.path.exists(test_dir):
shutil.rmtree(test_dir)
os.mkdir(test_dir)
for i in range(1, 10):
... | normal | {
"blob_id": "db684185c2b0a26cb101dc40090c84b64c554eeb",
"index": 2595,
"step-1": "<mask token>\n\n\ndef create_test_file(filename):\n with open(filename, 'w') as f:\n f.write('foobar')\n\n\n<mask token>\n\n\ndef main():\n parser = argparse.ArgumentParser(description='Filling In The Gaps program')\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def registerModelStorage(dict):
global sharedDict
sharedDict = dict
def updateModel():
lastLevels, validTime = download(NOWCAST_DATA_URL)
sharedDict['lastLevels'] = lastLevels
sharedDict['validTime'] = validTime
<|reserved_special_token_0|>
def getTimestamp(datet... | flexible | {
"blob_id": "e8f090a02bfd5ee8a6832351357594af2d6692f9",
"index": 8702,
"step-1": "<mask token>\n\n\ndef registerModelStorage(dict):\n global sharedDict\n sharedDict = dict\n\n\ndef updateModel():\n lastLevels, validTime = download(NOWCAST_DATA_URL)\n sharedDict['lastLevels'] = lastLevels\n sharedD... | [
3,
4,
5,
6,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@raise_on_failure
@pytest.mark.parametrize('channels_per_node', [CHAIN])
@pytest.mark.parametrize('number_of_nodes', [3])
def test_leave_token_network(raiden_network: List[RaidenService],
token_addresses):
registry_addre... | flexible | {
"blob_id": "c4a13069b5add538589886b5e282d4fc9f2b72ad",
"index": 6807,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@raise_on_failure\n@pytest.mark.parametrize('channels_per_node', [CHAIN])\n@pytest.mark.parametrize('number_of_nodes', [3])\ndef test_leave_token_network(raiden_network: List[RaidenSe... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
text = 'This is some text -- with punctuation.'
print(text)
print()
patterns = ['^(?P<first_word>\\w+)', '(?P<last_word>\\w+)\\S*$',
'(?P<t_word>\\bt\\w+)\\W+(?P<other_word>\\w+)',
'(?... | flexible | {
"blob_id": "be6a2e45f735fe578392b03c3030890b6cd5b4bc",
"index": 2865,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n text = 'This is some text -- with punctuation.'\n print(text)\n print()\n patterns = ['^(?P<first_word>\\\\w+)', '(?P<last_word>\\\\w+)\\\\S*$',\n '(?... | [
0,
1,
2,
3,
4
] |
from django.conf.urls import patterns, include, url
from views.index import Index
from views.configuracoes import Configuracoes
from views.parametros import *
urlpatterns = patterns('',
url(r'^$', Index.as_view(), name='core_index'),
url(r'^configuracoes/', Configuracoes.as_view(), name='core.core_c... | normal | {
"blob_id": "74c60c9e37e4e13ed4c61f631c3426b685b5d38f",
"index": 8875,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url('^$', Index.as_view(), name='core_index'),\n url('^configuracoes/', Configuracoes.as_view(), name=\n 'core.core_configurations'), url('^parametros/dat... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def path_to_string(s):
res = ''
for i in range(len(s) - 1):
res += str(s[i][0])
res += ', '
res += str(s[i][1])
res += ' > '
res += str(s[i][0])
res += ', '
res += str(s[i][1])... | flexible | {
"blob_id": "a4d47b9a28ec66f6a0473498674ebc538d909519",
"index": 5111,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef path_to_string(s):\n res = ''\n for i in range(len(s) - 1):\n res += str(s[i][0])\n res += ', '\n res += str(s[i][1])\n res += ' > '\n res += ... | [
0,
3,
4,
5,
6
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# File: software/jetson/fastmot/utils/sot.py
# By: Samuel Duclos
# For: Myself
# Description: This file returns detection results from an image.
from cvlib.object_detection import draw_bbox
class ObjectCenter(object):
def __init__(self, args)... | normal | {
"blob_id": "8f14bbab8b2a4bc0758c6b48feb20f8b0e3e348b",
"index": 5460,
"step-1": "<mask token>\n\n\nclass ObjectCenter(object):\n\n def __init__(self, args):\n \"\"\"Initialize variables.\"\"\"\n self.args = args\n\n def load_classes(self, path):\n with open(path, 'r') as names_file:\n... | [
4,
5,
6,
8,
9
] |
<|reserved_special_token_0|>
def run_query(query, args=None):
conn = get_connection()
cur = conn.cursor()
cur.execute(query, args)
rs = cur.fetchall()
if len(rs) != 0:
return rs
conn.commit()
cur.close()
conn.close()
def insert_address(address_obj):
run_query(
'in... | flexible | {
"blob_id": "62bad8eeb3b51a5012dad761a60639d36429d8e8",
"index": 7660,
"step-1": "<mask token>\n\n\ndef run_query(query, args=None):\n conn = get_connection()\n cur = conn.cursor()\n cur.execute(query, args)\n rs = cur.fetchall()\n if len(rs) != 0:\n return rs\n conn.commit()\n cur.cl... | [
25,
27,
37,
40,
41
] |
<|reserved_special_token_0|>
def test_predict():
pass
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_init():
mm = ModelManager(config_file, model_dir)
def test_predict():
pass
<|reserved_special_token_1|>
<|reserved_special_token_0|>
dir_path = os.path.dirname(os.path.realpat... | flexible | {
"blob_id": "5da61b4cd8e4faf135b49396d3b346a219bf73f6",
"index": 3851,
"step-1": "<mask token>\n\n\ndef test_predict():\n pass\n",
"step-2": "<mask token>\n\n\ndef test_init():\n mm = ModelManager(config_file, model_dir)\n\n\ndef test_predict():\n pass\n",
"step-3": "<mask token>\ndir_path = os.path... | [
1,
2,
3,
4
] |
from barista.sensor import CarafeLevel, CarafeTemp
class Carafe(object):
def __init__(self):
self.level = CarafeLevel()
self.temp = CarafeTemp()
# TODO add callback for when the temperature or level are too low. | normal | {
"blob_id": "a0cce8d48f929dd63ba809a1e9bf02b172e8bc1b",
"index": 2192,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Carafe(object):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Carafe(object):\n\n def __init__(self):\n self.level = CarafeLevel()\n self.temp = Ca... | [
0,
1,
2,
3,
4
] |
# pylint: skip-file
from sorter.lib.request_data import read_url
from urllib2 import HTTPError
class fake_urllib(object):
def __init__(self, should_fail=False):
self.should_fail = should_fail
def urlopen(self, uri):
if self.should_fail == True:
raise HTTPError('FAKER.GTLD', 404, 'F... | normal | {
"blob_id": "2bbfbc597a4e1f8b46f58a4c6002a9943eff557a",
"index": 5644,
"step-1": "<mask token>\n\n\nclass fake_logger(object):\n\n def __init__(self):\n self.msg = None\n\n def info(self, msg, *args):\n pass\n\n def warn(self, msg, *args):\n self.msg = msg.reason\n\n\nclass TestRequ... | [
7,
9,
10,
12,
14
] |
class Solution(object):
def countSmaller(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
naive -- o(n^2)
"""
<|reserved_special_token_0|>
def mergesort(x):
if len(x) == 0:
return x, []
if len(x) == 1:
return x, [0]
mid = len(x) / 2
... | flexible | {
"blob_id": "42021b762737a2eb21866ba029ece4ac120152cd",
"index": 5902,
"step-1": "class Solution(object):\n\n def countSmaller(self, nums):\n \"\"\"\n :type nums: List[int]\n :rtype: List[int]\n naive -- o(n^2)\n \"\"\"\n\n\n<mask token>\n\n\ndef mergesort(x):\n if len(x)... | [
6,
7,
8,
9,
10
] |
#Horror_Novel_Generator.py
import markovify as mk
import random as rng
from fpdf import FPDF
def makePDF(filename):
#Get text, separating title and paragraphs
#Assumes first line is title
file= open(filename, "r")
title= file.readline()
pars= []
for line in file:
pars.append... | normal | {
"blob_id": "58fb2676b599b5f7fb9041cfae113a9d428d8ef8",
"index": 4503,
"step-1": "<mask token>\n\n\ndef makePDF(filename):\n file = open(filename, 'r')\n title = file.readline()\n pars = []\n for line in file:\n pars.append(line)\n file.close()\n pdf = FPDF(unit='pt')\n pdf.add_page()... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class SubsPcLrThumb(Opcode):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SubsPcLrThumb(Opcode):
def __init__(self, instruction, imm32, n):
super().__init__(instruction)
self.imm... | flexible | {
"blob_id": "89376b2464dfb724197a1c1e164af8277e03ad59",
"index": 2507,
"step-1": "<mask token>\n\n\nclass SubsPcLrThumb(Opcode):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass SubsPcLrThumb(Opcode):\n\n def __init__(self, instruction, imm32, n):\n super().__init__(instruct... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Command(BaseCommand):
<|reserved_special_token_0|>
def handle(self, *args, **options):
task_scheduler.start()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Command(BaseCommand):
... | flexible | {
"blob_id": "e9c81be79d9107433e00182c27488e64f1ca779f",
"index": 1458,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Command(BaseCommand):\n <mask token>\n\n def handle(self, *args, **options):\n task_scheduler.start()\n",
"step-3": "<mask token>\n\n\nclass Command(BaseCommand):... | [
0,
2,
3,
4,
5
] |
# Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, softw... | normal | {
"blob_id": "d66945add0726c85b8ac29056269ed55c6eb9369",
"index": 3442,
"step-1": "<mask token>\n\n\ndef _MinutesToMicroseconds(minutes):\n return minutes * 60 * 1000000\n\n\n<mask token>\n\n\nclass _PickMaxRecord(beam.DoFn):\n\n def process(self, data):\n _, streams = data\n time_dicts = []\n... | [
4,
5,
6,
7,
8
] |
import logging
def log_func(handler):
if handler.get_status() < 400:
log_method = logging.info
elif handler.get_status() < 500:
log_method = logging.warning
else:
log_method = logging.error
request_time = 1000.0 * handler.request.request_time()
log_method("%d %s %s (%s) %s ... | normal | {
"blob_id": "e403be68894ba283d71a0b71bb0bfd0adfab8c41",
"index": 8684,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef log_func(handler):\n if handler.get_status() < 400:\n log_method = logging.info\n elif handler.get_status() < 500:\n log_method = logging.warning\n else:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class button:
def __init__(self, colour, x, y, width, height, text=''):
self.colour = colour
self.x = x
self.y = y
self.width = width
self.height = height
self.text = text
def draw(self, win, outline=None):
if outline:
... | flexible | {
"blob_id": "2a8032c23e3c7aa3a7b0593c79db7adbc0353f93",
"index": 2125,
"step-1": "<mask token>\n\n\nclass button:\n\n def __init__(self, colour, x, y, width, height, text=''):\n self.colour = colour\n self.x = x\n self.y = y\n self.width = width\n self.height = height\n ... | [
11,
12,
15,
22,
23
] |
class Type(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __str__(self):
return self.jtype.toPrettyString(False, False)
<|reserved_special_token_1|>
class Type(object):
<|reserved_special_token_0|>
def __init__(self, jtype):
... | flexible | {
"blob_id": "851162e6c40a9f4f82a983a84fd0b4d6a6a57412",
"index": 3675,
"step-1": "class Type(object):\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.jtype.toPrettyString(False, False)\n",
"step-2": "class Type(object):\n <mask token>\n\n def __init__(... | [
2,
3,
4,
5
] |
#adapted from https://github.com/DeepLearningSandbox/DeepLearningSandbox/tree/master/transfer_learning
import os
import sys
import glob
import argparse
import matplotlib.pyplot as plt
from keras.applications.imagenet_utils import preprocess_input
from keras.models import Model
from keras.layers import GlobalAveragePo... | normal | {
"blob_id": "39b9106a3b0305db8cc7316be3b76e58e5577b92",
"index": 4980,
"step-1": "<mask token>\n\n\ndef setup_to_transfer_learn(model):\n \"\"\"Freeze all layers and compile the model\"\"\"\n for layer in model.layers:\n layer.trainable = False\n\n\ndef add_new_last_layer(base_model, nb_classes):\n ... | [
5,
6,
7,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AttentionGatedUnet3D(nn.Module):
<|reserved_special_token_0|>
def __init__(self, config):
super(AttentionGatedUnet3D, self).__init__()
assert hasattr(config, 'num_classes')
assert hasattr(c... | flexible | {
"blob_id": "55a392d63838cbef027f9cf525999c41416e3575",
"index": 3875,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AttentionGatedUnet3D(nn.Module):\n <mask token>\n\n def __init__(self, config):\n super(AttentionGatedUnet3D, self).__init__()\n assert hasattr(config, 'num_... | [
0,
3,
4,
5,
6
] |
import sys
sys.path.insert(0, ".") | normal | {
"blob_id": "b95eadd60093d5235dc0989205edff54ef611215",
"index": 2399,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.insert(0, '.')\n",
"step-3": "import sys\nsys.path.insert(0, '.')\n",
"step-4": "\nimport sys\n\nsys.path.insert(0, \".\")",
"step-5": null,
"step-ids": [
0,
1,
... | [
0,
1,
2,
3
] |
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sublime
import sublime_plugin
"""
Copy and Paste selinium module and urllib3 module of Python in
"sublime-text-3/Lib/Python3.3" folder of sublime-text3
"""
def process(string):
# Get active file name
filename = subl... | normal | {
"blob_id": "9767014992981001bd2e8dece67525650c05a2a8",
"index": 4018,
"step-1": "<mask token>\n\n\nclass SolveItCommand(sublime_plugin.TextCommand):\n <mask token>\n\n def run(self, _):\n window = self.view.window()\n window.show_input_panel('Enter ContestID & ProblemID : ', '', self.\n ... | [
4,
6,
7,
8,
9
] |
import csv
with open('healthviolations.csv', 'w') as fp:
with open('Restaurant_Inspections.csv', 'rb') as csvfile:
reader = csv.reader(csvfile)
header = next(reader, None)
writer = csv.writer(fp, delimiter=',')
writer.writerow([header[0], "violation"])
for row in reader:
if (row[20] != '')... | normal | {
"blob_id": "1825b365032a224ed56a1814d7f6457e2add8fdd",
"index": 8008,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('healthviolations.csv', 'w') as fp:\n with open('Restaurant_Inspections.csv', 'rb') as csvfile:\n reader = csv.reader(csvfile)\n header = next(reader, None)\n ... | [
0,
1,
2,
3
] |
import socket
import json
import numpy as np
"""TCP client used to communicate with the Unity Application"""
class TCP:
def __init__(self, sock = None):
# Create a TCP socket
if sock is None:
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
else:
self.s... | normal | {
"blob_id": "cc66dcd34115e72479953ca24f4b2eaeb52cf313",
"index": 7747,
"step-1": "<mask token>\n\n\nclass TCP:\n <mask token>\n\n def connect(self, host, port):\n server_address = host, port\n print('connecting to {} port {}'.format(*server_address))\n self.sock.connect(server_address)... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class MyApp(QtGui.QMainWindow, Ui_MainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
Ui_MainWindow.__init__(self)
self.setupUi(self)
star_list = ['1 Star and above', '2 Stars and above',
'3 Stars and above', '4 stars and abov... | flexible | {
"blob_id": "f5e57c95e2c86aeb83872b29324b0b73a41caa47",
"index": 9001,
"step-1": "<mask token>\n\n\nclass MyApp(QtGui.QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n QtGui.QMainWindow.__init__(self)\n Ui_MainWindow.__init__(self)\n self.setupUi(self)\n star_list = ['1 Star a... | [
6,
7,
9,
11,
12
] |
number = int(input("entrez un entier:"))
exposant = int(input("entrez un exposant:"))
def puissance(x, n):
if n == 0:
return 1
else:
return x * puissance(x, n-1)
print(puissance(number, exposant))
| normal | {
"blob_id": "beccae96b3b2c9dcd61bb538d07b85441a73662e",
"index": 9968,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef puissance(x, n):\n if n == 0:\n return 1\n else:\n return x * puissance(x, n - 1)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef puissance(x, n):\n ... | [
0,
1,
2,
3,
4
] |
# =======
# Imports
# =======
import os
import sympy
import numpy
from distutils.spawn import find_executable
import matplotlib
import matplotlib.pyplot as plt
from .Declarations import n,t
# =============
# Plot Settings
# =============
def PlotSettings():
"""
General settings for the plot.
"""
# C... | normal | {
"blob_id": "81da2aab9ca11e63dafdd4eefc340d37b326fc6f",
"index": 1846,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef PlotFunctions(phi_orthonormalized_list, StartFunctionIndex, Interval):\n PlotSettings()\n t_array = numpy.logspace(-7, numpy.log10(Interval[1]), 1000)\n NumFunctions = le... | [
0,
1,
2,
3,
4
] |
from scrapy.selector import HtmlXPathSelector
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors.sgml import SgmlLinkExtractor
from scrapy.item import Item, Field
import scrapy
import config
from scrapy.linkextractors import LinkExtractor
from scrapy.http import Request
class BrokenItem(Item):
... | normal | {
"blob_id": "d827c59871d58e098009c22320af73f8f40169bb",
"index": 5622,
"step-1": "from scrapy.selector import HtmlXPathSelector\nfrom scrapy.spiders import CrawlSpider, Rule\nfrom scrapy.linkextractors.sgml import SgmlLinkExtractor\nfrom scrapy.item import Item, Field\nimport scrapy\nimport config\nfrom scrapy.l... | [
0
] |
#!/usr/bin/python
import argparse
import os
import subprocess
import batch
vmc_dir = os.environ['VMCWORKDIR']
macro = os.path.join(vmc_dir, 'macro/koala/daq_tasks/export_ems.C')
exec_bin = os.path.join(vmc_dir,'build/bin/koa_execute')
# arguments definitions
parser = argparse.ArgumentParser()
parser.add_argument("in... | normal | {
"blob_id": "58c7b405096a5fdc5eeacb5e5f314f2d1bb85af6",
"index": 6229,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('infile', help='the file list to be processed')\nparser.add_argument('-d', '--directory', default='./', help=\n 'directory where files are located')\nparser.add_arg... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class DatapackageModelForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.helper = FormHelper(self)
self.fields['status'].queryset = self.fields['status... | flexible | {
"blob_id": "5a59108084d943f6faa07ffea1467dc19c3dd790",
"index": 1101,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass DatapackageModelForm(forms.ModelForm):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.helper = FormHelper(self)\n se... | [
0,
2,
3,
5,
6
] |
from alive_progress import alive_bar
from time import sleep
with alive_bar(100) as bar: # default setting
for i in range(100):
sleep(0.03)
bar() # call after consuming one item
# using bubble bar and notes spinner
with alive_bar(200, bar='bubbles', spinner=... | normal | {
"blob_id": "06f961c07695d1c312cb943afbfa64508a709c7e",
"index": 1076,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith alive_bar(100) as bar:\n for i in range(100):\n sleep(0.03)\n bar()\n with alive_bar(200, bar='bubbles', spinner='notes2') as bar:\n for i in range... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class PotentialTests(BaseOutputTest):
def __init__(self, model, param, disc, solution, operating_condition):
super().__init__(model, param, disc, solution, operating_condition)
self.phi_s_n = solution['Negative electrode potential [V]']
self.phi_s_p = solution... | flexible | {
"blob_id": "e81373c7b9c43b178f0f12382501be8899189660",
"index": 6700,
"step-1": "<mask token>\n\n\nclass PotentialTests(BaseOutputTest):\n\n def __init__(self, model, param, disc, solution, operating_condition):\n super().__init__(model, param, disc, solution, operating_condition)\n self.phi_s_... | [
19,
32,
43,
44,
55
] |
from tree import Tree, createIntTree
t = createIntTree()
print('show', t.root.show())
print('sum', t.root.sum())
print('find 3', t.root.find(3) != False)
print('evens', t.root.evens())
print('min depth', t.root.min_depth())
| normal | {
"blob_id": "21a7fd5148f73ac47adafc9d5c2361ebe318ae59",
"index": 2842,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('show', t.root.show())\nprint('sum', t.root.sum())\nprint('find 3', t.root.find(3) != False)\nprint('evens', t.root.evens())\nprint('min depth', t.root.min_depth())\n",
"step-3": ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(os.getcwd())
print(os.listdir(path))
print(os.path.abspath(path))
print(os.path.basename(path))
print(os.path.isfile(path2))
print(os.path.isdir(path1))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
path = 'D:... | flexible | {
"blob_id": "c01ea897cd64b3910531babe9fce8c61b750185d",
"index": 7912,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(os.getcwd())\nprint(os.listdir(path))\nprint(os.path.abspath(path))\nprint(os.path.basename(path))\nprint(os.path.isfile(path2))\nprint(os.path.isdir(path1))\n",
"step-3": "<mask ... | [
0,
1,
2,
3,
4
] |
"""
corner cases like:
word[!?',;.]
word[!?',;.]word[!?',;.]word
so don't consider the punctuation will only exist after one word, and followed by a whitespace
use re for regular expression match,
replace or punctuations, and split words
"""
class Solution:
def mostCommonWord(self, paragraph, banned):
... | normal | {
"blob_id": "3bb50b61c7a3e98ede0a31e574f39b4ea7f22de5",
"index": 9197,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def mostCommonWord(self, paragraph, banned):\n \"\"\"\n :ty... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def create(k, v, t='0'):
if k in name:
print('ERROR:The data already exists')
elif k.isalpha():
if v.isnumeric() and t.isnumeric():
v = int(v)
t = int(t)
if len(name) < 1024 * 1020 * 1024 and v <= 16 * 1024 * 1024:
... | flexible | {
"blob_id": "430dff54da986df4e3a68018d930735c757d49d0",
"index": 6794,
"step-1": "<mask token>\n\n\ndef create(k, v, t='0'):\n if k in name:\n print('ERROR:The data already exists')\n elif k.isalpha():\n if v.isnumeric() and t.isnumeric():\n v = int(v)\n t = int(t)\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(todayFormatted)
<|reserved_special_token_0|>
os.chdir(basepath)
if not os.path.isfile(filename):
print('File does not exist.')
else:
with open(filename) as f:
content = f.read().splitlines()
def parse():
... | flexible | {
"blob_id": "07a546928df1acfedf7a7735dc813de9da8373e0",
"index": 1275,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(todayFormatted)\n<mask token>\nos.chdir(basepath)\nif not os.path.isfile(filename):\n print('File does not exist.')\nelse:\n with open(filename) as f:\n content = f.rea... | [
0,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
print ("—— 七、Python爬虫实战演练：爬取百度百科1000个页面的数据 ——");
print ("—— 7.2、调度程序 ——");
print ("————— Python爬虫：1、总教程程序 ———————————————");
from Reptilian.baike_spider import url_manager, html_downloader, html_parser, html_outputer
class SpiderMain(object):
# 构造函数初始化各个对象
def __init__(self):
... | normal | {
"blob_id": "e99a81a5600aad6111bb2694cbda02021ccfd71c",
"index": 2817,
"step-1": "<mask token>\n\n\nclass SpiderMain(object):\n <mask token>\n\n def craw(self, root_url):\n count = 1\n self.urls.add_new_url(root_url)\n while self.urls.has_new_url():\n try:\n n... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/python
import os
# http://stackoverflow.com/questions/4500564/directory-listing-based-on-time
def sorted_ls(path):
mtime = lambda f: os.stat(os.path.join(path, f)).st_mtime
return list(sorted(os.listdir(path), key=mtime))
def main():
print "Content-type: text/html\n\n"
print "<html><head><t... | normal | {
"blob_id": "f4715a1f59ceba85d95223ef59003410e35bfb7f",
"index": 4037,
"step-1": "#!/usr/bin/python\nimport os\n\n# http://stackoverflow.com/questions/4500564/directory-listing-based-on-time\ndef sorted_ls(path):\n mtime = lambda f: os.stat(os.path.join(path, f)).st_mtime\n return list(sorted(os.listdir(pa... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
parser.add_argument('--IK', default=False, action='store_true', help=
'switch to IK-control')
<|reserved_special_token_0|>
blue.calibrate_gripper()
<|reserved_special_token_0|>
while True:
hands_data = listener.get_hand(co... | flexible | {
"blob_id": "b34e293b509328c728909262594bdf3d3ecf5360",
"index": 4364,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('--IK', default=False, action='store_true', help=\n 'switch to IK-control')\n<mask token>\nblue.calibrate_gripper()\n<mask token>\nwhile True:\n hands_data = lis... | [
0,
1,
2,
3,
4
] |
import time
import math
from wpilib import SmartDashboard
from wpilib.command import Command
import robotmap
import subsystems
class TankDriveResetEncoders(Command):
def __init__(self):
super().__init__('TankDriveTurnToHeading')
self.requires(subsystems.driveline)
self.setInterruptible(... | normal | {
"blob_id": "f73faabe955e3ae05039e58ebabe5c012e080f38",
"index": 9906,
"step-1": "<mask token>\n\n\nclass TankDriveResetEncoders(Command):\n <mask token>\n\n def execute(self):\n subsystems.driveline.resetEncoders()\n print('CMD TankDriveResetEncoders: Reset Completed')\n <mask token>\n",
... | [
2,
3,
4,
5,
6
] |
from pathlib import Path
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
# SQLALCHEMY_DATABASE_URL = "postgresql://user:password@postgresserver/db"
SQLALCHEMY_DATABASE_URL = f"sqlite:///{Path(__name__).parent.absolute()}/sql_... | normal | {
"blob_id": "0656c3e1d8f84cfb33c4531e41efb4a349d08aac",
"index": 6747,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBase.metadata.create_all(bind=engine)\n",
"step-3": "<mask token>\nSQLALCHEMY_DATABASE_URL = (\n f'sqlite:///{Path(__name__).parent.absolute()}/sql_app.db')\nengine = create_engine(S... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def divide(self, dividend, divisor):
"""
:type dividend: int
:type divisor: int
:rtype: int
... | flexible | {
"blob_id": "4a0213351f8e9dcb2c6e71317a5ff1064974652e",
"index": 3418,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class Solution:\n\n def divide(self, dividend, divisor):\n \"\"\"\n :type dividend: int\n :type divisor: int... | [
0,
1,
2,
3,
4
] |
import pandas as pd
import numpy
dato=pd.read_csv('medallero_Panamericanos_Lima2019.csv')
print(dato)
def calculo_suma():
print("---Funcion con Python---")
print("la sumatoria de los valores: ", dato['Bronce'].sum())
print("---Funcion con Numpy---")
print("la sumatoria de los valores: ", numpy.sum(dat... | normal | {
"blob_id": "f5542cfe6827c352cc6e6da1147e727f2b2d8247",
"index": 9586,
"step-1": "<mask token>\n\n\ndef calculo_suma():\n print('---Funcion con Python---')\n print('la sumatoria de los valores: ', dato['Bronce'].sum())\n print('---Funcion con Numpy---')\n print('la sumatoria de los valores: ', numpy.... | [
9,
10,
11,
12,
13
] |
<|reserved_special_token_0|>
class Critic:
def __init__(self, obs_dim, action_dim, learning_rate=0.001):
self.obs_dim = obs_dim
self.action_dim = action_dim
self.model = self.make_network()
self.optimizer = keras.optimizers.Adam(learning_rate)
def make_network(self):
... | flexible | {
"blob_id": "535fdee8f74b1984c5d1a5ec929310473b01239d",
"index": 1617,
"step-1": "<mask token>\n\n\nclass Critic:\n\n def __init__(self, obs_dim, action_dim, learning_rate=0.001):\n self.obs_dim = obs_dim\n self.action_dim = action_dim\n self.model = self.make_network()\n self.opti... | [
7,
8,
9,
10,
11
] |
# SPDX-FileCopyrightText: 2013 The glucometerutils Authors
#
# SPDX-License-Identifier: Unlicense
| normal | {
"blob_id": "39ffb85fb10882041c2c9a81d796e7ff9df7d930",
"index": 8551,
"step-1": "# SPDX-FileCopyrightText: 2013 The glucometerutils Authors\n#\n# SPDX-License-Identifier: Unlicense\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
1
]
} | [
1
] |
# Generated by Django 3.0.3 on 2020-04-27 07:06
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('account', '0002_profile_favorites'),
]
operations = [
migrations.RemoveField(
model_name='profile',
name='favorites',
... | normal | {
"blob_id": "1e83fedb8a5ed51704e991aeaa4bde20d5316d11",
"index": 2351,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('account', '... | [
0,
1,
2,
3,
4
] |
import os
import time
try:
import cPickle as pickle
except:
import pickle
#-------------#
# Cache utils #
#-------------#
cachedir = os.path.expanduser('~/.cache/sherlock/')
_cachedict = {}
def get_cachefile(filename):
"""
Return full path to filename within cache dir.
"""
if not os.path.e... | normal | {
"blob_id": "05cfd9d239b63c9b1e0c93a09e89cceb8d8e99e4",
"index": 2462,
"step-1": "<mask token>\n\n\ndef get_cachefile(filename):\n \"\"\"\n Return full path to filename within cache dir.\n \"\"\"\n if not os.path.exists(cachedir):\n os.makedirs(cachedir)\n return os.path.join(cachedir, file... | [
7,
8,
9,
10,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print("yig'indisi ", a + b)
print('ayirmasi ', a - b)
print("bo'linmasi ", a / b)
print("ko'paytmasi ", a * b)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
a = int(input('Birinchi sonni kiriting: '))
b = int(input(... | flexible | {
"blob_id": "0d32fe36f71ffb3df56738664c5dbd0b8ae585e3",
"index": 3303,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\"yig'indisi \", a + b)\nprint('ayirmasi ', a - b)\nprint(\"bo'linmasi \", a / b)\nprint(\"ko'paytmasi \", a * b)\n",
"step-3": "<mask token>\na = int(input('Birinchi sonni kiriti... | [
0,
1,
2,
3
] |
'''4. Write a Python program to filter the positive numbers from a list.'''
lst = [1, -3, 4, -56, 7, 3, -8, -5, 2, 4, 9]
New_list = list(filter(lambda x: x > 0, lst))
print(New_list)
| normal | {
"blob_id": "d61151859390ab1c907ac3753143312da434981e",
"index": 2624,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(New_list)\n",
"step-3": "<mask token>\nlst = [1, -3, 4, -56, 7, 3, -8, -5, 2, 4, 9]\nNew_list = list(filter(lambda x: x > 0, lst))\nprint(New_list)\n",
"step-4": "'''4. Write a ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def analyser_commande():
"""Analyseur de ligne de commande."""
parser = argparse.ArgumentParser(description='Jeu Quoridor - phase 3')
parser.add_argument('idul', help='IDUL du joueur.')
parser.add_argument('-l', ... | flexible | {
"blob_id": "f69544a9123f1738cd7d21c1b4fc02dd73fb9d1b",
"index": 6008,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef analyser_commande():\n \"\"\"Analyseur de ligne de commande.\"\"\"\n parser = argparse.ArgumentParser(description='Jeu Quoridor - phase 3')\n parser.add_argument('idul', ... | [
0,
1,
2,
3,
4
] |
from setuptools import setup, find_packages
setup(name="sk_processor", packages=find_packages()) | normal | {
"blob_id": "de884413dcbd0e89e8bfcf5657fe189156d9a661",
"index": 1837,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='sk_processor', packages=find_packages())\n",
"step-3": "from setuptools import setup, find_packages\nsetup(name='sk_processor', packages=find_packages())\n",
"step-4": "fr... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class SurroundByCommand(sublime_plugin.TextCommand):
def run(self, edit, tag):
for region in self.view.sel():
text = self.view.substr(region)
self.view.replace(edit, region, '<' + tag + '>' + text + '</' +
tag.split()[0] + '>')
<|rese... | flexible | {
"blob_id": "bcc4276ea240247519cabbf5fc5646a9147ee3be",
"index": 545,
"step-1": "<mask token>\n\n\nclass SurroundByCommand(sublime_plugin.TextCommand):\n\n def run(self, edit, tag):\n for region in self.view.sel():\n text = self.view.substr(region)\n self.view.replace(edit, region... | [
2,
3,
5,
6,
7
] |
<|reserved_special_token_0|>
class SerializerTest(unittest.TestCase):
class TestObject(object):
def __init__(self, **kwargs):
for name, value in kwargs.items():
self.__setattr__(name, value)
<|reserved_special_token_0|>
def test_serialize_string(self):
"""En... | flexible | {
"blob_id": "4e4d6a9ed07aa03c79dade05e01f226017b13de5",
"index": 9250,
"step-1": "<mask token>\n\n\nclass SerializerTest(unittest.TestCase):\n\n\n class TestObject(object):\n\n def __init__(self, **kwargs):\n for name, value in kwargs.items():\n self.__setattr__(name, value)\n... | [
3,
4,
5,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def lookup(obj):
"""
function that returns attributes and methods of an object
"""
return dir(obj)
<|reserved_special_token_1|>
#!/usr/bin/python3
"""
module that has
fucntions that
shows attributes
"""
def ... | flexible | {
"blob_id": "67380fb8b1557b0ed6779009e5f9ae93fd81aedd",
"index": 8753,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef lookup(obj):\n \"\"\"\n function that returns attributes and methods of an object\n \"\"\"\n return dir(obj)\n",
"step-3": "#!/usr/bin/python3\n\"\"\"\nmodule that h... | [
0,
1,
2
] |
import numpy as np
import pandas as pd
INPUT_FILE = 'data_full.csv'
data = pd.read_csv(INPUT_FILE)
data['date'] = pd.to_datetime(data['date'], format='%d-%m-%Y %H:%M:%S')
# Wyodrębnienie użytkowników i stron na jakie wchodzili do postaci <USER> [<SITES>]
data = data[['ip', 'address']]
data['sites'] = data.groupby(['i... | normal | {
"blob_id": "3b61d389eda85ddb4c96f93c977a33b91da579ce",
"index": 7900,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndata.drop_duplicates(subset='ip', inplace=True, keep='first')\ndata.reset_index(drop=True, inplace=True)\n<mask token>\ncols.extend(sites)\n<mask token>\nattributes.set_index('userID', in... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def decToBinList(decNumber):
if decNumber < 0 or decNumber > 255:
raise ValueError
return [((int(decNumber) & 1 << i) >> i) for i in range(7, -1, -1)]
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def decToBinList(decNumber):... | flexible | {
"blob_id": "675d564ad60870f49b88dece480d5a50a30491df",
"index": 4907,
"step-1": "<mask token>\n\n\ndef decToBinList(decNumber):\n if decNumber < 0 or decNumber > 255:\n raise ValueError\n return [((int(decNumber) & 1 << i) >> i) for i in range(7, -1, -1)]\n\n\n<mask token>\n",
"step-2": "<mask to... | [
1,
2,
3,
4,
5
] |
class Balloon(object):
def __init__(self, color, size, shape):
self.color = color
self.size = size
self.shape = shape
self.inflated = False
self.working = True
def inflate(self):
if self.working:
self.inflated = True
else:
print "Y... | normal | {
"blob_id": "2747b2563c83e11261a7113d69921c1affb20ac8",
"index": 4675,
"step-1": "class Balloon(object):\n def __init__(self, color, size, shape):\n self.color = color\n self.size = size\n self.shape = shape\n self.inflated = False\n self.working = True\n\n def inflate(se... | [
0
] |
"""
This module provides functions to make WCSAxes work in SunPy.
"""
import matplotlib.pyplot as plt
from packaging.version import Version
import astropy.units as u
from astropy import __version__ as astropy_version
from astropy.visualization import wcsaxes
from sunpy.coordinates import HeliographicCarrington, Helio... | normal | {
"blob_id": "be1ef0aa3868985bf198781ee827bd447588df15",
"index": 606,
"step-1": "<mask token>\n\n\ndef is_wcsaxes(axes):\n \"\"\"\n Tests a `matplotlib.axes.Axes` object to see if it is an instance of\n `~astropy.visualization.wcsaxes.WCSAxes`.\n\n Parameters\n ----------\n axes : `matplotlib.a... | [
4,
5,
6,
7,
8
] |
def main():
#entrada
N = int(input())
num = 1
#processamento
for i in range (N+1):
if i > 0:
#saida
print("%d %d %d" %(i, i**2, i**3))
num +=1
if __name__ == '__main__':
main() | normal | {
"blob_id": "b55984da73d3cfb3109a52990a0d4d05a27d51a5",
"index": 1794,
"step-1": "<mask token>\n",
"step-2": "def main():\n N = int(input())\n num = 1\n for i in range(N + 1):\n if i > 0:\n print('%d %d %d' % (i, i ** 2, i ** 3))\n num += 1\n\n\n<mask token>\n",
"step-3"... | [
0,
1,
2,
3
] |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import pandas as pd
df = pd.read_csv('games_data.csv')
names = df['game']
driver = webdriver.Chrome('D:/chromedriver.exe')
driver.get('https://www.google.ca/imghp?hl=en&tab=ri&authuser=0&ogbl')
k = 0
for name in names:
box = ... | normal | {
"blob_id": "6375ac80b081b7eafbc5c3fc7e84c4eff2604848",
"index": 4041,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.get('https://www.google.ca/imghp?hl=en&tab=ri&authuser=0&ogbl')\n<mask token>\nfor name in names:\n box = driver.find_element_by_xpath('//*[@id=\"sbtc\"]/div/div[2]/input')\n ... | [
0,
1,
2,
3
] |
def calc(*numbers):
sum = 0
for n in numbers:
sum = sum + n * n
return sum
print(calc(*[1, 2, 3]))
| normal | {
"blob_id": "a9ea3db019435733b5782d69450942373bb828e5",
"index": 9304,
"step-1": "<mask token>\n",
"step-2": "def calc(*numbers):\n sum = 0\n for n in numbers:\n sum = sum + n * n\n return sum\n\n\n<mask token>\n",
"step-3": "def calc(*numbers):\n sum = 0\n for n in numbers:\n su... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def mean_absolute_percentage_error(y_true, y_pred):
y_true, y_pred = np.array(y_true), np.array(y_pred)
return np.mean(np.abs((y_true - y_pred) / y_true)) * 100
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def mean_absolute_percenta... | flexible | {
"blob_id": "25dd7ea4a154e5693c65f8c42107224efee42516",
"index": 4533,
"step-1": "<mask token>\n\n\ndef mean_absolute_percentage_error(y_true, y_pred):\n y_true, y_pred = np.array(y_true), np.array(y_pred)\n return np.mean(np.abs((y_true - y_pred) / y_true)) * 100\n\n\n<mask token>\n",
"step-2": "<mask t... | [
1,
2,
3,
4,
5
] |
import io
import os
from flask import Flask
from werkzeug.datastructures import FileStorage
import pytest
PNG_FILE = os.path.join(os.path.dirname(__file__), 'flask.png')
JPG_FILE = os.path.join(os.path.dirname(__file__), 'flask.jpg')
class TestConfig:
TESTING = True
MONGODB_DB = 'flask-fs-test'
MONGODB... | normal | {
"blob_id": "dfc412acc9b69f50396680db1b9f6feafe162996",
"index": 5571,
"step-1": "<mask token>\n\n\nclass TestConfig:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass TestFlask(Flask):\n\n def configure(self, *storages, **configs):\n import flask_file_system as fs\n ... | [
6,
10,
11,
13,
16
] |
# -*- coding: utf-8 -*-
import scrapy
import re
import time
import random
import hashlib
from quotetutorial.items import ScrapyItem
import requests
import os
import io
import sys
# 科学技术部
class MostSpider(scrapy.Spider):
index = 12
name = 'most'
allowed_domains = ['www.most.gov.cn']
start_urls = [
... | normal | {
"blob_id": "3583ce664bc9f42ef8f751de8642997819e08e31",
"index": 7793,
"step-1": "<mask token>\n\n\nclass MostSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def downloa... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def gauss(left, right, prec=3):
arr = np.concatenate((np.array(left), np.array([right]).T), axis=1)
print('\nИсходная матрица:')
print(arr)
if np.linalg.matrix_rank(left) != np.linalg.matrix_rank(arr):
return 'Решений нет!'
for j in range(len(arr)):
lea... | flexible | {
"blob_id": "bd0530b6f3f7b1a5d72a5b11803d5bb82f85105d",
"index": 6587,
"step-1": "<mask token>\n\n\ndef gauss(left, right, prec=3):\n arr = np.concatenate((np.array(left), np.array([right]).T), axis=1)\n print('\\nИсходная матрица:')\n print(arr)\n if np.linalg.matrix_rank(left) != np.linalg.matrix_r... | [
4,
6,
7,
9,
10
] |
<|reserved_special_token_0|>
class BaseAI:
_board: Board = None
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BaseAI:
_board: Board = None
<|reserved_special_token_0|>
<|reserved_s... | flexible | {
"blob_id": "b794a4cca3303ac7440e9aad7bc210df62648b51",
"index": 5476,
"step-1": "<mask token>\n\n\nclass BaseAI:\n _board: Board = None\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass BaseAI:\n _board: Board = None\n <mask token>\n <mask token>\n\n d... | [
1,
2,
3,
4,
5
] |
from unittest import TestCase, main as unittest_main, mock
from app import app
from bson.objectid import ObjectId
'''
dummy data to use in testing create, update, and delete routes
(U and D not yet made)
Inspiration taken from Playlister tutorial.
'''
sample_offer_id = ObjectId('5349b4ddd2781d08c09890f4')
sample_offer... | normal | {
"blob_id": "cef6b5ef2082dc5910806550d9a9c96357752baf",
"index": 3541,
"step-1": "<mask token>\n\n\nclass HomelyTests(TestCase):\n <mask token>\n\n def setUp(self):\n \"\"\"Get Flask test client.\"\"\"\n self.client = app.test_client()\n app.config['TESTING'] = True\n\n def test_pro... | [
7,
10,
11,
14,
15
] |
import math
import backtrader as bt
from datetime import datetime
from bots.TelegramBot import TelegramBot
import logging
class Volume(bt.Strategy):
params = (('avg_volume_period', 10), ('ticker', 'hpg'), ('ratio', 1.25))
def __init__(self):
self.mysignal = (self.data.volume / bt.ind.Average(self.data... | normal | {
"blob_id": "acbe9a9501c6a8532249496f327c2470c1d2f8e0",
"index": 898,
"step-1": "<mask token>\n\n\nclass Volume(bt.Strategy):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Volume(bt.Strategy):\n <mask token>\n\n def __init__(self):\n self.mysignal = s... | [
1,
2,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(led_mode, 'wb') as f:
f.write('out')
with open(led_pin, 'wb') as f:
f.write(__import__('sys').argv[1])
<|reserved_special_token_0|>
<|reserved_special_token_1|>
led_dir = '/sys/class/gpio/gpio40/'
led_pin = le... | flexible | {
"blob_id": "1a9cad6e49e5ed2bb7781f9fec930d48ec048b3b",
"index": 5061,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(led_mode, 'wb') as f:\n f.write('out')\nwith open(led_pin, 'wb') as f:\n f.write(__import__('sys').argv[1])\n<mask token>\n",
"step-3": "led_dir = '/sys/class/gpio/gpio4... | [
0,
1,
2,
3
] |
###########################################################################
# This file provides maintenance on the various language files
# 1. Create new "xx/cards_xx.json" files that have entries ordered as:
# a. the card_tag entries in "cards_db.json"
# b. the group_tag entries as found in "cards_db.json"
# ... | normal | {
"blob_id": "cc1b3c3c65e8832316f72cbf48737b21ee4a7799",
"index": 3887,
"step-1": "<mask token>\n\n\ndef get_lang_dirs(path):\n languages = []\n for name in os.listdir(path):\n dir_path = os.path.join(path, name)\n if os.path.isdir(dir_path):\n cards_file = os.path.join(dir_path, 'c... | [
5,
6,
7,
8,
9
] |
"""
OBJECTIVE: Given a list, sort it from low to high using the QUICK SORT algorithm
Quicksort first divides a large array into two smaller sub-arrays: the low elements and the high elements.
Quicksort can then recursively sort the sub-arrays.
The steps are:
1. Pick an element, called a pivot, from the array.
2. Par... | normal | {
"blob_id": "04099c46c029af37a08b3861809da13b3cc3153b",
"index": 997,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef quick_sort(array: list) ->list:\n return []\n",
"step-3": "\"\"\"\nOBJECTIVE: Given a list, sort it from low to high using the QUICK SORT algorithm\n\nQuicksort first divides ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from .base import Credentials
from .amazon_auth import AmazonCredentials
from .google_auth import GoogleCredentials
from .microsoft_auth import MicrosoftCredentials
<|reserved_special_token_1|>
'''
Handprint module for handling... | flexible | {
"blob_id": "7e29220752b4a52be34cdf0c734695d1052d0414",
"index": 9309,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfrom .base import Credentials\nfrom .amazon_auth import AmazonCredentials\nfrom .google_auth import GoogleCredentials\nfrom .microsoft_auth import MicrosoftCredentials\n",
"step-3": "''... | [
0,
1,
2
] |
# player input is: Word made, starting tile position of the word made, horizontal or vertical
# example: playerinput = ['STRING', (0, 1), 'v']
import numpy as np
import string
def boundarytester(playerinput): # to check whether the player is placing the tiles within the confines of the board
if playerinput[1][0]... | normal | {
"blob_id": "2cb0f2fbf3ceddb2f1ee65614506dbfb3b5c8089",
"index": 4736,
"step-1": "<mask token>\n\n\ndef boundarytester(playerinput):\n if playerinput[1][0] > 14 or playerinput[1][0] < 0 or playerinput[1][1\n ] > 14 or playerinput[1][1] < 0:\n return False\n if playerinput[2] == 'h':\n ... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
def send():
global last_index_sent
global last_sent
DIR = './videos'
videosToSend = len([name for name in os.listdir(DIR) if os.path.isfile(
os.path.join(DIR, name))])
for i in range(last_index_sent, videosToSend + 1):
last_index_sent = i
last_s... | flexible | {
"blob_id": "a21ac29911931bb71460175cba584e0011fa2ece",
"index": 1055,
"step-1": "<mask token>\n\n\ndef send():\n global last_index_sent\n global last_sent\n DIR = './videos'\n videosToSend = len([name for name in os.listdir(DIR) if os.path.isfile(\n os.path.join(DIR, name))])\n for i in ra... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class IRegexItem(interfaces.IConditionItem):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class IRegexItem(interfaces.IConditionItem):
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "fe83b45bdc5970d63deab66b26b16752cd8ad8ef",
"index": 7241,
"step-1": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass IRegexItem(interfaces.IConditionItem):\n <mask token>\n regex = sch... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class SENDMAIL(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SENDMAIL(object):
def __init__(self):
self.smtpserver = 'smtp.qq.com'
self.u... | flexible | {
"blob_id": "bcab83e0ae6ee4925393b50bdefdfeb85c42ad2c",
"index": 1914,
"step-1": "<mask token>\n\n\nclass SENDMAIL(object):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass SENDMAIL(object):\n\n def __init__(self):\n self.smtpserver = 'smtp.qq.com'\n ... | [
1,
3,
4,
5,
6
] |
import logging
import os.path
from day03.code.main import traverse_map, get_map_cell, traverse_map_multiple_slopes
logger = logging.getLogger(__name__)
local_path = os.path.abspath(os.path.dirname(__file__))
def test_get_map_cell():
map_template = """..##.......
#...#...#..
.#....#..#.
..#.#...#.#
.#...##..#.
.... | normal | {
"blob_id": "7599f13d1cabe73d876ff97722962f2fcf9a9940",
"index": 2269,
"step-1": "<mask token>\n\n\ndef test_sample_input():\n map_template = \"\"\"..##.......\n#...#...#..\n.#....#..#.\n..#.#...#.#\n.#...##..#.\n..#.##.....\n.#.#.#....#\n.#........#\n#.##...#...\n#...##....#\n.#..#...#.#\"\"\"\n logger.in... | [
5,
6,
7,
8,
9
] |
from django.db import models
from django.utils import timezone
# Create your models here.
class URL(models.Model):
label = models.CharField(null=True, blank=True, max_length=30)
address = models.URLField()
slug = models.SlugField(unique=True, max_length=8)
created = models.DateTimeField(auto_now_add=T... | normal | {
"blob_id": "2dcb02ea2f36dd31eda13c1d666201f861c117e7",
"index": 4027,
"step-1": "<mask token>\n\n\nclass URL(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass URL(models.Model):\n <mask token>\n <mask token>\n ... | [
1,
2,
3,
4,
5
] |
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