code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
def add_transactions(shard_state, collation, txqueue, shard_id,
min_gasprice=0, mainchain_state=None):
"""Add transactions to a collation
(refer to ethereum.common.add_transactions)
"""
if not txqueue:
return
pre_txs = len(collation.transactions)
log.in... | flexible | {
"blob_id": "e364ba45513167966fe50e31a01f552ccedec452",
"index": 6552,
"step-1": "<mask token>\n\n\ndef add_transactions(shard_state, collation, txqueue, shard_id,\n min_gasprice=0, mainchain_state=None):\n \"\"\"Add transactions to a collation\n (refer to ethereum.common.add_transactions)\n \"\"\"\n... | [
4,
5,
6,
7,
10
] |
# from the top
# clean up dependencies
from flask import Flask
app = Flask(__name__)
@app.route("/")
def index():
return "<h1>Congratulations, it's a web app!</h1>"
if __name__ == "__main__":
app.run(host="127.0.0.1", port=8080, debug=True)
| normal | {
"blob_id": "612535d95e655f2e2d2c58f41b2aa99afa7fbcbc",
"index": 874,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return \"<h1>Congratulations, it's a web app!</h1>\"\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@app.route('/')\ndef index():\n return \"<h1>Congratulations, it's a w... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(10):
line = sys.stdin.readline()
height = int(line)
heights.append(height)
heights.sort()
heights.reverse()
for i in range(3):
print(heights[i])
<|reserved_special_token_1|>
<|reserved_special_tok... | flexible | {
"blob_id": "3e48de2e3b12965de1b3b5cb6c3cf68c90ec6212",
"index": 2274,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(10):\n line = sys.stdin.readline()\n height = int(line)\n heights.append(height)\nheights.sort()\nheights.reverse()\nfor i in range(3):\n print(heights[i])\n",
... | [
0,
1,
2,
3
] |
# coding: utf-8
etc_dictionary = {
'2 30대': '이삼십대',
'20~30대': '이삼십대',
'20, 30대': '이십대 삼십대',
'1+1': '원플러스원',
'3에서 6개월인': '3개월에서 육개월인',
}
english_dictionary = {
'Devsisters': '데브시스터즈',
'track': '트랙',
# krbook
'LA': '엘에이',
'... | normal | {
"blob_id": "ccd1e57518065963158984dda52297db45ce204e",
"index": 2471,
"step-1": "<mask token>\n",
"step-2": "etc_dictionary = {'2 30대': '이삼십대', '20~30대': '이삼십대', '20, 30대': '이십대 삼십대',\n '1+1': '원플러스원', '3에서 6개월인': '3개월에서 육개월인'}\nenglish_dictionary = {'Devsisters': '데브시스터즈', 'track': '트랙', 'LA': '엘에이',\n ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Meters:
<|reserved_special_token_0|>
def indicate(self, kmh=None, amp=None, led=None):
if self.pi:
if kmh != None:
kmh = SPEED_MAX if kmh > SPEED_MAX else kmh
kmh = 0 if kmh < 0 else kmh
self.pi.hardware_PW... | flexible | {
"blob_id": "25532102cc36da139a22a61d226dff613f06ab31",
"index": 4714,
"step-1": "<mask token>\n\n\nclass Meters:\n <mask token>\n\n def indicate(self, kmh=None, amp=None, led=None):\n if self.pi:\n if kmh != None:\n kmh = SPEED_MAX if kmh > SPEED_MAX else kmh\n ... | [
8,
11,
12,
13,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app = web.application(urls, globals())
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import web
from myapp.urls import urls
app = web.application(urls, globals())
<|reserved_special_token_1|>
#coding=utf-8
'初始化P... | flexible | {
"blob_id": "4480b305a6f71ff64022f2b890998326bf402bf0",
"index": 1669,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp = web.application(urls, globals())\n",
"step-3": "<mask token>\nimport web\nfrom myapp.urls import urls\napp = web.application(urls, globals())\n",
"step-4": "#coding=utf-8\r\n'初始... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class ZydisDisassembler(disassemblerAbstract):
def diassemble(self, filename, bits='32bit'):
"""
Disassembly executable file return iterable instruction set.
:param filename : Executable file path
:type filename: str
:param bit... | flexible | {
"blob_id": "fedec397ac0346bad1790315b4f85fbb1a662a4e",
"index": 9466,
"step-1": "<mask token>\n\n\nclass ZydisDisassembler(disassemblerAbstract):\n\n def diassemble(self, filename, bits='32bit'):\n \"\"\"\n Disassembly executable file return iterable instruction set.\n\n :param f... | [
3,
4,
5,
6,
7
] |
# este script comprar diferente metodos de base2number
from sklearn.model_selection import KFold
from sklearn.model_selection import train_test_split
#from matplotlib import pyplot as plt
#from matplotlib import cm
import matplotlib.pyplot as plt
from matplotlib import pyplot
import math
import os
import sys
import ... | normal | {
"blob_id": "9696e5799d46adb5b92c0900e2064b927addfd93",
"index": 2506,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor sequence_file in sequences:\n f_in = open(current_dir + '/sample_genomes/' + sequence_file, 'r')\n f_out.write(f_in.read())\n f_in.close()\n data = []\n fa_file = curre... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def list_types():
return ['application/tar']
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def list_types():
return ['application/tar']
def handle_part(data, ctype, filename, payload):
if ctype == 'application/tar':
dir... | flexible | {
"blob_id": "98b27c268fe1f47a899269e988ddf798faf827df",
"index": 8401,
"step-1": "<mask token>\n\n\ndef list_types():\n return ['application/tar']\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef list_types():\n return ['application/tar']\n\n\ndef handle_part(data, ctype, filename, payload):\n i... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print(10 - 10)
print(1000 - 80)
print(10 / 5)
print(10 / 6)
print(10 // 6)
print(10 * 800)
print(55 * 5)
<|reserved_special_token_1|>
print(10-10)
print(1000-80)
print(10/5)
print(10/6)
print(10//6) # remoção das casas decimais
print(10*800)
print(... | flexible | {
"blob_id": "e488761c15ee8cddbb7577d5340ee9001193c1a4",
"index": 4767,
"step-1": "<mask token>\n",
"step-2": "print(10 - 10)\nprint(1000 - 80)\nprint(10 / 5)\nprint(10 / 6)\nprint(10 // 6)\nprint(10 * 800)\nprint(55 * 5)\n",
"step-3": "print(10-10)\r\nprint(1000-80)\r\nprint(10/5)\r\nprint(10/6)\r\nprint(10/... | [
0,
1,
2
] |
def countdown(n):
def next():
nonlocal n
r = n
n -= 1
return r
return next
a = countdown(12)
while True:
v = a()
if not v:
break
| normal | {
"blob_id": "01eef391f6d37d1e74cb032c5b27e1d8fc4395da",
"index": 6122,
"step-1": "<mask token>\n",
"step-2": "def countdown(n):\n\n def next():\n nonlocal n\n r = n\n n -= 1\n return r\n return next\n\n\n<mask token>\n",
"step-3": "def countdown(n):\n\n def next():\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(file_one) as fo:
reader = csv.reader(fo)
header = next(reader)
album = {}
dates, cd_income, dd_income, total_profit, artist_payout = [], [], [], [
], []
for row in reader:
if row[2].st... | flexible | {
"blob_id": "53380810a3d9787fe7c373cf1829f2d849a91c3c",
"index": 8456,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(file_one) as fo:\n reader = csv.reader(fo)\n header = next(reader)\n album = {}\n dates, cd_income, dd_income, total_profit, artist_payout = [], [], [], [\n ]... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@utils.part
def part_1():
commands = ['south', 'take food ration', 'west', 'north', 'north',
'east', 'take astrolabe', 'west', 'south', 'south', 'east', 'north',
'east', 'south', 'take weather machine', 'west... | flexible | {
"blob_id": "e3aa38b5d01823ed27bca65331e9c7315238750a",
"index": 8974,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@utils.part\ndef part_1():\n commands = ['south', 'take food ration', 'west', 'north', 'north',\n 'east', 'take astrolabe', 'west', 'south', 'south', 'east', 'north',\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def parse_and_print_args():
fields = None
in_args = None
if request.args is not None:
in_args = dict(copy.copy(request.args))
fields = copy.copy(in_args.get('fields', None))
if fields:
del in_args['fields']
offset = copy.copy(in_args... | flexible | {
"blob_id": "d03a8076b77851ae4df5cf657ff898eb132c49c3",
"index": 5616,
"step-1": "<mask token>\n\n\ndef parse_and_print_args():\n fields = None\n in_args = None\n if request.args is not None:\n in_args = dict(copy.copy(request.args))\n fields = copy.copy(in_args.get('fields', None))\n ... | [
7,
8,
9,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@guest_calendar_post.route('/calendars/<link_id>/bookings/', methods=['POST'])
@expects_json(guest_calendar_schema)
def booking(link_id):
request_body = request.get_json()
link = get_link(link_id)
if link is None:
... | flexible | {
"blob_id": "75ef5dd2b82cf79819f18045559f9850c74bb55a",
"index": 5565,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@guest_calendar_post.route('/calendars/<link_id>/bookings/', methods=['POST'])\n@expects_json(guest_calendar_schema)\ndef booking(link_id):\n request_body = request.get_json()\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
filename = 'example_payloads/payload1.json'
data = open(filename, 'rb').read()
headers = {'Accept': 'application/json', 'Content-Type': 'application/json'
}
response = requests.po... | flexible | {
"blob_id": "255130082ee5f8428f1700b47dee717465fed72f",
"index": 4067,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n filename = 'example_payloads/payload1.json'\n data = open(filename, 'rb').read()\n headers = {'Accept': 'application/json', 'Content-Type': 'applicat... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
disp.begin()
disp.clear()
disp.display()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
RST = 24
DC = 23
SPI_PORT = 0
SPI_DEVICE = 0
disp = Adafruit_SSD1306.SSD1306_128_64(rst=RST, dc=DC, spi=SPI.SpiDev(
SPI_PORT... | flexible | {
"blob_id": "d8cbed25f4c97be5a74a6e1f097fcb9fa9439a9a",
"index": 8160,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndisp.begin()\ndisp.clear()\ndisp.display()\n",
"step-3": "<mask token>\nRST = 24\nDC = 23\nSPI_PORT = 0\nSPI_DEVICE = 0\ndisp = Adafruit_SSD1306.SSD1306_128_64(rst=RST, dc=DC, spi=SPI.S... | [
0,
1,
2,
3,
4
] |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.core.validators import MinLengthValidator, MaxLengthValidator, RegexValidator
from pizzaclub.settings import MAX_DNI_LENGTH, MAX_CUIL_LENGTH, PASSWORD_RESET_TIMEOUT
from pizzaclub.settings import MIN_DNI_LENGTH, MIN_CUIL_LENGT... | normal | {
"blob_id": "b7511c156c241accaf1668d83ee0a5263b41af0d",
"index": 3465,
"step-1": "<mask token>\n\n\nclass User(AbstractUser):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def check_token(self, token):\n \"\"\"\n ... | [
8,
13,
15,
16,
18
] |
from flask.ext.wtf import Form
from wtforms import TextField
from wtforms.validators import Required
class VerifyHandphoneForm(Form):
handphone_hash = TextField('Enter verification code here', validators=[
Required()])
| normal | {
"blob_id": "cb0df06ee474576b3024678fa0f63ce400d773ea",
"index": 4096,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass VerifyHandphoneForm(Form):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass VerifyHandphoneForm(Form):\n handphone_hash = TextField('Enter verification code here', ... | [
0,
1,
2,
3
] |
class State:
def __init__(self, id):
self.id = id
def NotinClosed(problem, node): #restituisce 1 se lo stato non è stato già visitato (al netto di controlli sulla depth) è quindi bisogna aggiungerlo
NotVisited = 1
for tuple in problem.closed:
if node.state.id == tuple[0].id and node.depth... | normal | {
"blob_id": "200deda300e39b07e0e558277a340b7ad01c7dee",
"index": 2216,
"step-1": "<mask token>\n",
"step-2": "class State:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class State:\n\n def __init__(self, id):\n self.id = id\n\n\n<mask token>\n",
"step-4": "class State:\n\n def __init__(s... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if u_avg < u_bat_min:
print('proper shut down of the machine due to low battery')
else:
print('tout va bien dormez braves gens')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
pidcmes = Pidcmes()
u_bat_min = ... | flexible | {
"blob_id": "67b967b688aeac1270eee836e0f6e6b3555b933e",
"index": 5,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif u_avg < u_bat_min:\n print('proper shut down of the machine due to low battery')\nelse:\n print('tout va bien dormez braves gens')\n",
"step-3": "<mask token>\npidcmes = Pidcmes()... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class InsertWord(Operation):
@classmethod
def getValue(cls, t, h, w, b, arg=None):
return math.log(arg['prob']) * w[cls]
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@classmethod
def transFormT_H(cls, t_h, arg=None):
parentNodeIndex =... | flexible | {
"blob_id": "355e3932c8bd9105e0c1ce9259e3b7416997523c",
"index": 3668,
"step-1": "<mask token>\n\n\nclass InsertWord(Operation):\n\n @classmethod\n def getValue(cls, t, h, w, b, arg=None):\n return math.log(arg['prob']) * w[cls]\n <mask token>\n <mask token>\n\n @classmethod\n def transF... | [
3,
4,
5,
6,
7
] |
from Models.AdminPageModel import AdminPageModel
class StudentDebtsController:
def __init__(self, master, model, view):
self._master = master
self._model = model
self._view = view
def BackToAdminPage(self):
from Views.AdminPage import AdminPage
self._master.switch_fra... | normal | {
"blob_id": "8aacc8dbfdd70d24689ae17b9c29b1ffc80fb231",
"index": 9013,
"step-1": "<mask token>\n\n\nclass StudentDebtsController:\n\n def __init__(self, master, model, view):\n self._master = master\n self._model = model\n self._view = view\n <mask token>\n <mask token>\n <mask t... | [
2,
3,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
myclient = pymongo.MongoClient('mongodb://localhost:27017/')
myclient.server_info()
print('Database Connected')
except:
print('Database Error')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|re... | flexible | {
"blob_id": "aafdd228cf2859d7f013b088263eab544e19c481",
"index": 9995,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n myclient.server_info()\n print('Database Connected')\nexcept:\n print('Database Error')\n<mask token>\n",... | [
0,
1,
2,
3,
4
] |
# coding: utf-8
"""
Upbit Open API
## REST API for Upbit Exchange - Base URL: [https://api.upbit.com] - Official Upbit API Documents: [https://docs.upbit.com] - Official Support email: [open-api@upbit.com] # noqa: E501
OpenAPI spec version: 1.0.0
Contact: ujhin942@gmail.com
Generated by: https:... | normal | {
"blob_id": "b9bd1c0f4a5d2e6eeb75ba4f27d33ad5fb22530e",
"index": 557,
"step-1": "<mask token>\n\n\nclass DepositCompleteResponse(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @property\n def currency(self):\n \"\"\"Gets the currency of this De... | [
6,
9,
11,
16,
17
] |
########################################
__author__ = "Abdelrahman Eldesokey"
__license__ = "GNU GPLv3"
__version__ = "0.1"
__maintainer__ = "Abdelrahman Eldesokey"
__email__ = "abdo.eldesokey@gmail.com"
########################################
import torch
import torch.nn.functional as F
import torch.nn as nn
from to... | normal | {
"blob_id": "64b4deaad548a38ba646423d33fc6a985483a042",
"index": 3592,
"step-1": "<mask token>\n\n\nclass NConv2d(_ConvNd):\n <mask token>\n <mask token>\n\n def init_parameters(self):\n if self.init_method == 'x':\n torch.nn.init.xavier_uniform_(self.weight)\n elif self.init_me... | [
15,
17,
18,
19,
21
] |
# -*- coding: utf-8 -*-
###############################################################################
# This file is part of metalibm (https://github.com/kalray/metalibm)
###############################################################################
# MIT License
#
# Copyright (c) 2018 Kalray
#
# Permission is here... | normal | {
"blob_id": "3a05ebee8e70321fe53637b4792f5821ce7044be",
"index": 4264,
"step-1": "<mask token>\n\n\ndef evaluate_comparison_range(node):\n \"\"\" evaluate the numerical range of Comparison node, if any\n else returns None \"\"\"\n return None\n\n\ndef is_comparison(node):\n \"\"\" test if node is... | [
14,
15,
16,
17,
18
] |
# -*- coding: utf-8 -*-
from flask import Blueprint, render_template, flash, redirect, url_for
from flask_login import login_required, current_user
from ..extensions import db
from .forms import MyTaskForm
from .models import MyTaskModel
tasks = Blueprint('tasks', __name__, url_prefix='/tasks')
@tasks.route('/my... | normal | {
"blob_id": "7882504f08e871f2610ff633608eb3d380179041",
"index": 1735,
"step-1": "<mask token>\n\n\n@tasks.route('/my_tasks', methods=['GET', 'POST'])\n@login_required\ndef my_tasks():\n _all_tasks = MyTaskModel.query.filter_by(users_id=current_user.id).all()\n return render_template('tasks/my_tasks.html',... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
omniORB.updateModule('managedElementManager')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
import omniORB
omniORB.updateModule('managedElementManager')
import managedElementManager_idl
<|reserved_special_token_1|... | flexible | {
"blob_id": "7727896d4e1b2b415c398b206f9fb7e228e6f26d",
"index": 8602,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nomniORB.updateModule('managedElementManager')\n<mask token>\n",
"step-3": "import omniORB\nomniORB.updateModule('managedElementManager')\nimport managedElementManager_idl\n",
"step-4"... | [
0,
1,
2,
3
] |
import pygame
import os
from network import Network
from card import Card
from game import Game, Player
pygame.font.init()
# Initializing window
WIDTH, HEIGHT = 700, 800
WIN = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Zole")
CARD_WIDTH = 60
############################## Uploading cards
de... | normal | {
"blob_id": "9c478c59398618d0e447276f9ff6c1c143702f12",
"index": 2360,
"step-1": "<mask token>\n\n\ndef get_card_size(card_width, image):\n card_height = image.get_height() / (image.get_width() / card_width)\n return round(card_height)\n\n\n<mask token>\n\n\ndef upload_card_images(card_name):\n card_n =... | [
6,
7,
8,
9,
10
] |
# Generated by Django 3.1.6 on 2021-04-22 07:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('projects', '0004_project_is_featured'),
]
operations = [
migrations.AlterField(
model_name='project',
name='pin_id',... | normal | {
"blob_id": "24ed29dfaaf7ce508b2d80740bad1304b291c596",
"index": 8466,
"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 = [('projects', ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Ridge(object):
"""A ridge.
Attributes:
- `E_r`: Equality set of a facet
- `ar, br`: Affine hull of the facet
s.t. P_{E_0} = P intersection {x | ar x = br}.
"""
def __init__(self, E, a, b):
self.E_r = E
self.ar = a
self.br = b... | flexible | {
"blob_id": "707c83bc83f606b570af973094574e6675cfc83f",
"index": 8793,
"step-1": "<mask token>\n\n\nclass Ridge(object):\n \"\"\"A ridge.\n\n Attributes:\n\n - `E_r`: Equality set of a facet\n\n - `ar, br`: Affine hull of the facet\n s.t. P_{E_0} = P intersection {x | ar x = br}.\n \"\"\"\n\n... | [
7,
9,
16,
18,
20
] |
import cv2
import numpy as np
img1 = cv2.imread('img0008.jpg')
img2 = cv2.imread('img0009.jpg')
#img3 = cv2.imread('img0009.jpg')
img3 = np.zeros(img1.shape)
iter = 51
def sumas(ux, uy, wx, wy, dx, dy, img_i, img_j):
suma = 0
x = ux - wx
y = uy - wy
while x < ux + wx:
while y < uy + wy:
... | normal | {
"blob_id": "749e6a1f807843c9e2591f51561174cc51668b11",
"index": 1588,
"step-1": "<mask token>\n\n\ndef sumas(ux, uy, wx, wy, dx, dy, img_i, img_j):\n suma = 0\n x = ux - wx\n y = uy - wy\n while x < ux + wx:\n while y < uy + wy:\n xdx = x + dx if x + dx < img1.shape[0] else x\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(parsed_json2)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
fake_header = {'user-agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36... | flexible | {
"blob_id": "166a1dfbd3baf766230080361d98648ec0a64455",
"index": 1038,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(parsed_json2)\n",
"step-3": "<mask token>\nfake_header = {'user-agent':\n 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
import argparse
from glob import glob
import sys
import numpy as np
import matplotlib.pyplot as plt
import pysam
import math
import pandas as pd
import haplotagging_stats
import os
import collections
import seaborn as sns
NUM_CONTIGS="num_contigs"
TOTAL_LEN="total_len"
HAPLOTYPE="haplotype"
HAPL... | normal | {
"blob_id": "0c7816028e6cbd12684b0c7484835e735f1d2838",
"index": 4327,
"step-1": "<mask token>\n\n\ndef parse_args(args=None):\n parser = argparse.ArgumentParser(\n 'Plots information from haplotagging_stats tsv')\n parser.add_argument('--input_csv', '-i', dest='input_csv', default=None,\n re... | [
3,
5,
6,
7,
8
] |
# uncompyle6 version 3.2.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AMD64)]
# Embedded file name: filecmp
import os, stat
from itertools import ifilter, ifilterfalse, imap, izip
__all__ = [
'cmp', 'dircmp', 'cmpfiles']
_cache = {}
BU... | normal | {
"blob_id": "38f6700b283bdc68a0271cb3ec397ce72aa2de3c",
"index": 6589,
"step-1": "# uncompyle6 version 3.2.4\n# Python bytecode 2.7 (62211)\n# Decompiled from: Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AMD64)]\n# Embedded file name: filecmp\nimport os, stat\nfrom itertools imp... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if not os.path.exists(directory):
os.makedirs(directory)
<|reserved_special_token_0|>
if not file_exists:
x = open(op, 'w')
x.write(rand_facts)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
directory = '... | flexible | {
"blob_id": "a2c93fd632a637d47f05e0a4fda851b465d03a31",
"index": 4674,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif not os.path.exists(directory):\n os.makedirs(directory)\n<mask token>\nif not file_exists:\n x = open(op, 'w')\n x.write(rand_facts)\n",
"step-3": "<mask token>\ndirectory =... | [
0,
1,
2,
3,
4
] |
from src.config import Config
mock = {
"entities": {
"foo": [ "bar", "foobar" ]
},
"synonimous": {
"fizz": [ "fizzfuzz", "fuzz"]
},
"templates": [
{
"text": "{synonimous.fizz} and {entities.foo}",
"intention": "fizzfoo"
}
]
}
def test_sho... | normal | {
"blob_id": "987f8ce668f2002b731822fa5f3de143a80aaafe",
"index": 9807,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_should_config_start_correctly():\n c = Config(mock)\n assert c._entities == mock['entities']\n assert c._synonimous == mock['synonimous']\n assert c.templates == ... | [
0,
1,
2,
3,
4
] |
# day one question 1 solution
# find product of two numbers in input.txt list that sum to 2020
# pull everything out of input file
nums = []
with open('input.txt', 'r') as file:
for line in file:
nums.append(int(line))
target = 0
product = 0
# for each number in the input, figure out what it's complement... | normal | {
"blob_id": "38504dae7b010c2df8c16b752c2179b6b3561c0e",
"index": 7770,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('input.txt', 'r') as file:\n for line in file:\n nums.append(int(line))\n<mask token>\nfor ini in nums:\n target = 2020 - ini\n for chk in nums:\n if chk ... | [
0,
1,
2,
3
] |
import tensorflow as tf
import keras
import numpy as np
def house_model(y_new):
xs = np.array([0, 1, 2, 4, 6, 8, 10], dtype=float) # Your Code Here#
ys = np.array([0.50, 0.100, 1.50, 2.50, 3.50, 4.50, 5.50], dtype=float) # Your Code Here#
model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape... | normal | {
"blob_id": "0b3f16ee9b287c6c77acde674abec9deb4053c83",
"index": 946,
"step-1": "<mask token>\n\n\ndef house_model(y_new):\n xs = np.array([0, 1, 2, 4, 6, 8, 10], dtype=float)\n ys = np.array([0.5, 0.1, 1.5, 2.5, 3.5, 4.5, 5.5], dtype=float)\n model = tf.keras.Sequential([keras.layers.Dense(units=1, inp... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
api.add_resource(Store, '/store/<string:name>')
api.add_resource(Item, '/item/<string:name>')
api.add_resource(ItemList, '/items')
api.add_resource(StoreList, '/stores')
api.add_resource(UserRegister, '/register')
if __name__ == '... | flexible | {
"blob_id": "7525691ece4fe66bb175e470db3ac78f701e3730",
"index": 199,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napi.add_resource(Store, '/store/<string:name>')\napi.add_resource(Item, '/item/<string:name>')\napi.add_resource(ItemList, '/items')\napi.add_resource(StoreList, '/stores')\napi.add_resour... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class MendeleyViewsTestCase(OsfTestCase):
def setUp(self):
super(MendeleyViewsTestCase, self).setUp()
self.account = MendeleyAccountFactory()
self.user = AuthUserFactory(external_accounts=[self.account])
self.account.display_name = self.user.fullname
... | flexible | {
"blob_id": "f69351474fb3eb48eeb65eaf1aa46d2f4a390471",
"index": 1887,
"step-1": "<mask token>\n\n\nclass MendeleyViewsTestCase(OsfTestCase):\n\n def setUp(self):\n super(MendeleyViewsTestCase, self).setUp()\n self.account = MendeleyAccountFactory()\n self.user = AuthUserFactory(external_... | [
11,
14,
16,
20,
25
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@itchat.msg_register(itchat.content.TEXT)
def text_reply(msg):
return msg.text
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@itchat.msg_register(itchat.content.TEXT)
def text_... | flexible | {
"blob_id": "2b87b8571664989e78790bd9df23eee9cbd44035",
"index": 1363,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@itchat.msg_register(itchat.content.TEXT)\ndef text_reply(msg):\n return msg.text\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\n@itchat.msg_register(itchat.content.TEXT)\nde... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class TestShellBootstrap(object):
<|reserved_special_token_0|>
def tearDown(self):
self.shell.restore()
<|reserved_special_token_0|>
def _test_bootstrap_stream_type(self, attr):
assert_is_instance(getattr(sys, attr), ThreadLocalStream)
<|reserved_spec... | flexible | {
"blob_id": "1983340b3ce7ba8b631ba090871bea1ef7044943",
"index": 9333,
"step-1": "<mask token>\n\n\nclass TestShellBootstrap(object):\n <mask token>\n\n def tearDown(self):\n self.shell.restore()\n <mask token>\n\n def _test_bootstrap_stream_type(self, attr):\n assert_is_instance(getatt... | [
7,
10,
12,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [path('google/login', views.google_login), path(
'google/callback/', views.google_callback), path(
'accounts/google/login/finish/', views.GoogleLogin.as_view(), name=
'google_login_todjango')]
<|reserve... | flexible | {
"blob_id": "68319663aad13b562e56b8ee25f25c7b548417df",
"index": 4739,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('google/login', views.google_login), path(\n 'google/callback/', views.google_callback), path(\n 'accounts/google/login/finish/', views.GoogleLogin.as_view(), na... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
from flask import Flask, request
from flask_restplus import Resource, Api, fields
from pymongo import MongoClient
from bson.objectid import ObjectId
import requests, datetime, re
#------------- CONFIG CONSTANTS -------------#
DEBUG = True
MAX_PAGE_LIMIT = 2
COLLECTION = 'indicators'
DB_CONFIG =... | normal | {
"blob_id": "75958b48a3372b56e072a0caa468171ab6b99eb6",
"index": 8917,
"step-1": "<mask token>\n\n\n@api.route(f'/{COLLECTION}/<collection_id>', endpoint=f'{COLLECTION}_by_id')\n@api.param('collection_id', f'Unique id, used to distinguish {COLLECTION}.')\nclass CollectionsById(Resource):\n\n @api.doc(descript... | [
7,
11,
15,
16,
19
] |
<|reserved_special_token_0|>
class MaoyanSpider(object):
def __init__(self):
self.url = 'https://maoyan.com/board/4?offset={}'
def get_html(self, url):
headers = {'User-Agent': random.choice(ua_list)}
req = request.Request(url=url, headers=headers)
res = request.urlopen(req)
... | flexible | {
"blob_id": "7ef0bb3e8cbba4a29249a09cf7bc91e053411361",
"index": 2225,
"step-1": "<mask token>\n\n\nclass MaoyanSpider(object):\n\n def __init__(self):\n self.url = 'https://maoyan.com/board/4?offset={}'\n\n def get_html(self, url):\n headers = {'User-Agent': random.choice(ua_list)}\n ... | [
6,
9,
10,
11,
12
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/7/10 14:26
# @Author : MengHe
# @File : c1.py
# @Software: PyCharm
import re
a = 'Python|Java|C#|C++|Kotlin|JavaScript'
r = re.findall('Java', a)
print(r)
# print(a.index('Python') > -1)
# print('Kotlin' in a) | normal | {
"blob_id": "e05f545ca969e0c2330779ed54a33a594d6ebb25",
"index": 2501,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(r)\n",
"step-3": "<mask token>\na = 'Python|Java|C#|C++|Kotlin|JavaScript'\nr = re.findall('Java', a)\nprint(r)\n",
"step-4": "import re\na = 'Python|Java|C#|C++|Kotlin|JavaScri... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(t)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
t = dt.datetime.today()
print(t)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import datetime as dt
t = dt.datetime.today()
print(t)
<|reserve... | flexible | {
"blob_id": "b1fbc8f3616b70e5d35898fd895c37e838c87dc9",
"index": 9293,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(t)\n",
"step-3": "<mask token>\nt = dt.datetime.today()\nprint(t)\n",
"step-4": "<mask token>\nimport datetime as dt\nt = dt.datetime.today()\nprint(t)\n",
"step-5": "# -*- co... | [
0,
1,
2,
3,
4
] |
__author__ = 'laispace.com'
import sqlite3
dbname = 'alloyteam.db'
def createTable():
conn = sqlite3.connect(dbname)
c = conn.cursor()
c.execute('''CREATE TABLE IF NOT EXISTS posts
(url text primary key,
title text,
date text,
authorLink ... | normal | {
"blob_id": "602df213c0d588404597c566001cd9c96b5034d0",
"index": 4530,
"step-1": "<mask token>\n\n\ndef createPosts(posts):\n conn = sqlite3.connect(dbname)\n c = conn.cursor()\n for post in posts:\n c.execute('INSERT OR REPLACE INTO posts VALUES (?,?,?,?,?,?)', post)\n conn.commit()\n conn... | [
3,
4,
5,
6,
7
] |
# -*- encoding: utf-8 -*-
"""
Created by eniocc at 11/10/2020
"""
import ctypes
from py_dss_interface.models.Base import Base
class MonitorsS(Base):
"""
This interface can be used to read/write certain properties of the active DSS object.
The structure of the interface is as follows:
CStr Monit... | normal | {
"blob_id": "f6f0dcb806fbc1e14c0907dd500fdc6a609a19f7",
"index": 5598,
"step-1": "<mask token>\n\n\nclass MonitorsS(Base):\n <mask token>\n <mask token>\n <mask token>\n\n def monitors_write_name(self, argument) ->str:\n \"\"\"Sets the active Monitor object by name.\"\"\"\n result = cty... | [
3,
4,
6,
7,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if re.findall(pattern, n):
print(n, 'は電話番号の形式です')
else:
print(n, 'は電話番号の形式ではありません')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
n = input('電話番号を入力してください＞＞')
pattern = (
'[\\(]{0,1}[0-9]{2,4}[\\)\\-\\(]... | flexible | {
"blob_id": "7ea81f83f556fcc55c9c9d44bcd63c583829fc08",
"index": 8977,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif re.findall(pattern, n):\n print(n, 'は電話番号の形式です')\nelse:\n print(n, 'は電話番号の形式ではありません')\n",
"step-3": "<mask token>\nn = input('電話番号を入力してください＞＞')\npattern = (\n '[\\\\(]{0,1}[... | [
0,
1,
2,
3,
4
] |
# from https://web.archive.org/web/20121220025758/http://xkcd.com/actuary.py.txt
# script written by Randall Munroe. Most comments by Emily Cain (although there were a few brief ones explaining how the program worked before I looked at it)
# Summary of program (by Emily):
# this program takes inputs of current ages ... | normal | {
"blob_id": "f0702c8555ef07aac9e667c35b5b5fd85820ec54",
"index": 4355,
"step-1": "# from https://web.archive.org/web/20121220025758/http://xkcd.com/actuary.py.txt\n\n# script written by Randall Munroe. Most comments by Emily Cain (although there were a few brief ones explaining how the program worked before I lo... | [
0
] |
def ip_address(address):
new_address = ""
split_address = address.split(".")
seprator = "[.]"
new_address = seprator.join(split_address)
return new_address
if __name__ == "__main__":
ipaddress = ip_address("192.168.1.1")
print(ipaddress)
| normal | {
"blob_id": "7ef62e5545930ab13312f8ae1ea70a74386d8bfa",
"index": 1231,
"step-1": "<mask token>\n",
"step-2": "def ip_address(address):\n new_address = ''\n split_address = address.split('.')\n seprator = '[.]'\n new_address = seprator.join(split_address)\n return new_address\n\n\n<mask token>\n"... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for file in file_list_excel:
"""遍历所有excel文件，删除空行"""
file_path = os.path.join(file_dir, file)
df = pd.read_excel(file_path)
data = pd.DataFrame(df.iloc[:, :]).dropna(axis=0, how='any')
new_list.append(data)
<|re... | flexible | {
"blob_id": "ea646068d48a9a4b5a578a5fb1399d83a4812b02",
"index": 1134,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor file in file_list_excel:\n \"\"\"遍历所有excel文件，删除空行\"\"\"\n file_path = os.path.join(file_dir, file)\n df = pd.read_excel(file_path)\n data = pd.DataFrame(df.iloc[:, :]).dro... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class VideoClassifier:
def __init__(self, train_mode='late_fusion', video_model_path=None,
time_step=16, base_path='/user/vlongobardi/AFEW/aligned/',
feature_name='emobase2010_100', stride=1):
self.time_step = time_step
self.train_mode = train_mode
... | flexible | {
"blob_id": "c925bed2f4d8120e156caebbe8e6bf9d6a51ee37",
"index": 3330,
"step-1": "<mask token>\n\n\nclass VideoClassifier:\n\n def __init__(self, train_mode='late_fusion', video_model_path=None,\n time_step=16, base_path='/user/vlongobardi/AFEW/aligned/',\n feature_name='emobase2010_100', stride... | [
7,
11,
13,
14,
18
] |
from .context import mango
from solana.publickey import PublicKey
def test_token_lookup():
data = {
"tokens": [
{
"address": "So11111111111111111111111111111111111111112",
"symbol": "SOL",
"name": "Wrapped SOL",
"decimals": 9,
... | normal | {
"blob_id": "5e7a589af69a604021ed9558fcce721a8e254fee",
"index": 5269,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_token_lookups_with_full_data():\n token_lookup = mango.SplTokenLookup.load(mango.SplTokenLookup.\n DefaultDataFilepath)\n assert token_lookup.find_by_symbol('BTC... | [
0,
1,
2,
3,
4
] |
import torch
from torch import nn
from torch.nn import functional as F
from models.blocks import UnetConv3, MultiAttentionBlock, UnetGridGatingSignal3, UnetUp3_CT, UnetDsv3
class AttentionGatedUnet3D(nn.Module):
"""
Attention Gated Unet for 3D semantic segmentation.
Args:
config: Mus... | normal | {
"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 re
s=input('enter the string:')
def end_num(s):
text = re.compile(r".*[0-9]$")
if text.match(s):
return 'Yes!Number is present at the end of string'
else:
return 'No!Number is not present at the end of string'
print(end_num(s))
| normal | {
"blob_id": "94334f91b1556c05dce0ed6f23c074bb8875f185",
"index": 2505,
"step-1": "<mask token>\n\n\ndef end_num(s):\n text = re.compile('.*[0-9]$')\n if text.match(s):\n return 'Yes!Number is present at the end of string'\n else:\n return 'No!Number is not present at the end of string'\n\n... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def fun(st, n):
suffix = [(0) for i in range(n)]
prefix = [(0) for i in range(n)]
count = 0
for i, val in enumerate(st):
if val == '*':
if i == 0:
prefix[i] = 0
count += 1
else:
... | flexible | {
"blob_id": "77c7ca3391426d1e56e15a93ef3e6227a45140fc",
"index": 2829,
"step-1": "<mask token>\n",
"step-2": "def fun(st, n):\n suffix = [(0) for i in range(n)]\n prefix = [(0) for i in range(n)]\n count = 0\n for i, val in enumerate(st):\n if val == '*':\n if i == 0:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
app.register_blueprint(test_controller, url_prefix='/test')
app.register_blueprint(user_controller, url_prefix='/')
if __name__ == '__main__':
app.run(debug=True)
<|reserved_special_token_1|>
from setup import app, manager
... | flexible | {
"blob_id": "afa22db946f77e9b33a443657592c20fbea21eb1",
"index": 6146,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.register_blueprint(test_controller, url_prefix='/test')\napp.register_blueprint(user_controller, url_prefix='/')\nif __name__ == '__main__':\n app.run(debug=True)\n",
"step-3": "... | [
0,
1,
2,
3
] |
from django.contrib import admin
from TestApp.models import Parcel
# Register your models here.
class ParcelAdmin(admin.ModelAdmin):
list_display = ['billno','shippername','rate']
admin.site.register(Parcel,ParcelAdmin)
| normal | {
"blob_id": "a550b9406e9dd301b863744bb28bc81fac0cd80c",
"index": 9607,
"step-1": "<mask token>\n\n\nclass ParcelAdmin(admin.ModelAdmin):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass ParcelAdmin(admin.ModelAdmin):\n list_display = ['billno', 'shippername', 'rate']\n\n\n<mask tok... | [
1,
2,
3,
4,
5
] |
from telegram.ext import Updater, Filters, MessageHandler, PicklePersistence
import telegram
import logging
logging.basicConfig(format='%(asctime)s %(message)s\n',
level=logging.INFO,filename='log.json')
logger = logging.getLogger(__name__)
def main():
# my_persistence = PicklePersistence(... | normal | {
"blob_id": "0a90f29a4e18c2aed23cb31b4239d44d23526327",
"index": 9133,
"step-1": "<mask token>\n\n\ndef main():\n updater = Updater('', use_context=True)\n dp = updater.dispatcher\n jobs = updater.job_queue\n dp.add_error_handler(error)\n updater.start_polling()\n updater.idle()\n\n\n<mask toke... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class IndexView(generic.ListView):
template_name = 'players/players.html'
context_object_name = 'players'
def get_queryset(self):
return list(chain(Player.objects.all(), Player._meta.get_fields()))
<|reserved_special_token_0|>
@permission_required('admin.can_addlo... | flexible | {
"blob_id": "bce794616889b80c152a8ebec8d02e49a96684e9",
"index": 2955,
"step-1": "<mask token>\n\n\nclass IndexView(generic.ListView):\n template_name = 'players/players.html'\n context_object_name = 'players'\n\n def get_queryset(self):\n return list(chain(Player.objects.all(), Player._meta.get_... | [
4,
7,
8,
9,
10
] |
"""
Subfunction A31 is responsible for inputting the component parameters
and then using the information about the component to determine
the pressure drop across that component
----------------------------------------------------------
Using data structure from /SysEng/jsonParameterFileFormat/ recall that each
cell is... | normal | {
"blob_id": "4b8038ddea60f371aa8da168ea4456372d6f0388",
"index": 2357,
"step-1": "<mask token>\n\n\nclass A31:\n\n def __init__(self, dict):\n self.dict = dict\n self.CID = self.dict['CID']\n self.val = self.dict['values']\n self.calc = self.val['calculated']\n self.comp = s... | [
3,
5,
6,
7,
8
] |
#!/usr/bin/python
"""
An extensible private pypi index.
NOTES ON PACKAGE NAMES
----------------------
MPyPi tries the following when it does not find a package
with the given name in the index:
- replaces all _ with - and
- lowercases the package name
"""
from __future__ import print_function
from __future__ ... | normal | {
"blob_id": "bd25b97de78f04510e43f13d356eb6c0025e223d",
"index": 8121,
"step-1": "<mask token>\n\n\ndef canonicalize_name(name):\n return _canonicalize_regex.sub('-', name).lower()\n\n\ndef page_index(packages):\n yield PAGE_FMT\n for p in packages:\n name = p.name\n url = name\n yi... | [
5,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
def execute_cmd(cmd):
"""
Sockets: https://docs.python.org/2/library/socket.html
How to use the socket s:
# Establish socket connection
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((host, port))
Readi... | flexible | {
"blob_id": "e0f25addad8af4541f1404b76d4798d2223d9715",
"index": 5116,
"step-1": "<mask token>\n\n\ndef execute_cmd(cmd):\n \"\"\"\n Sockets: https://docs.python.org/2/library/socket.html\n How to use the socket s:\n\n # Establish socket connection\n s = socket.socket(socke... | [
1,
2,
3,
4,
5
] |
'''
Factory for creating and running ssimulations against optimization tools
Author:
Matthew Barber <mfmbarber@gmail.com>
'''
from .strategy_annealer import StrategyAnnealer
from .strategy_deap import StrategyDeap
class CalulateStrategyWith:
@staticmethod
def Annealing(car, include_initial_ty... | normal | {
"blob_id": "1cab38721e6b96a9877bd67cbddaa4d6b4e53d1b",
"index": 8175,
"step-1": "<mask token>\n\n\nclass CalulateStrategyWith:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CalulateStrategyWith:\n <mask token>\n\n @staticmethod\n def geneticAlgorithm(car, include_initial_... | [
1,
2,
3,
4,
5
] |
# 3번 반복하고 싶은 경우
# 별 10개를 한줄로
for x in range(0, 10, 3): # 3번째 숫자는 증감할 양을 정해줌.
# print(x)
print("★", end=" ")
print()
print("------------------------")
#이중 for문
for y in range(0, 10):
for x in range(0, 10):
# print(x)
print("★", end=" ")
print() | normal | {
"blob_id": "b360ba7412bd10e2818511cee81302d407f88fd1",
"index": 1895,
"step-1": "<mask token>\n",
"step-2": "for x in range(0, 10, 3):\n print('★', end=' ')\nprint()\nprint('------------------------')\nfor y in range(0, 10):\n for x in range(0, 10):\n print('★', end=' ')\n print()\n",
"step-... | [
0,
1,
2
] |
class Solution(object):
def findDisappearedNumbers(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
ns = [0]*len(nums)
for i in range(0, len(nums), 1):
ns[nums[i]-1] = 1
ret = []
for j in range(0, len(ns), 1):
... | normal | {
"blob_id": "87504fb88cbbf810ad8bab08bc59284d2cf37cce",
"index": 850,
"step-1": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution(object):\n\n def findDisappearedNumbers(self, nums):\n \"\"\"\n :type nums: List[int]\n :rtype: Li... | [
1,
2,
3,
4,
5
] |
learningRateBase = 0.001
learningRateDecreaseStep = 80
epochNum = 100
generateNum = 3
batchSize = 16
trainPoems = "./data/poems.txt"
checkpointsPath = "./model/" | normal | {
"blob_id": "2fb299f5454c251dc1c77c2597ee23bf414c716e",
"index": 4845,
"step-1": "<mask token>\n",
"step-2": "learningRateBase = 0.001\nlearningRateDecreaseStep = 80\nepochNum = 100\ngenerateNum = 3\nbatchSize = 16\ntrainPoems = './data/poems.txt'\ncheckpointsPath = './model/'\n",
"step-3": "learningRateBase... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'KEY.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_KEY(object):
def setupUi(self, KEY):
KEY.setObjectName("KEY")
... | normal | {
"blob_id": "1dab0084666588f61d0f9f95f88f06ed9d884e5b",
"index": 3892,
"step-1": "<mask token>\n\n\nclass Ui_KEY(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_KEY(object):\n\n def setupUi(self, KEY):\n KEY.setObjectName('KEY')\n KEY.resize(419, 106)\n ... | [
1,
2,
3,
4,
5
] |
###############################################################################
# Copyright (c) 2017-2020 Koren Lev (Cisco Systems), #
# Yaron Yogev (Cisco Systems), Ilia Abashin (Cisco Systems) and others #
# #
... | normal | {
"blob_id": "d60810ea0b19cc9163ce526e6a5a54da9c8b3f68",
"index": 3595,
"step-1": "<mask token>\n\n\nclass TestKubeFetchContainers(KubeTestBase):\n\n\n class DummyConfig(object):\n\n def __init__(self, _environment):\n self.environment = _environment\n <mask token>\n <mask token>\n\n ... | [
5,
6,
7,
8,
10
] |
import cv2
import dlib
import faceBlendCommon as face
from matplotlib import pyplot as plt
from scipy.spatial import distance as dist
import numpy as np
import cmapy
import math
def eye_aspect_ratio(eye):
A = dist.euclidean(eye[1], eye[5])
B = dist.euclidean(eye[2], eye[4])
C = dist.euclidean(eye[0], eye[... | normal | {
"blob_id": "65ff3b5137c94890c3293a2ae3f57dee1f60a54c",
"index": 9097,
"step-1": "<mask token>\n\n\ndef findIris(eyeMask, im, thresh):\n r = im[:, :, 2]\n _, binaryIm = cv2.threshold(r, thresh, 255, cv2.THRESH_BINARY_INV)\n kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (4, 4))\n morph = cv2.d... | [
3,
6,
8,
10,
11
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_visual_coding_2p_analysis
----------------------------------
Tests for `visual_coding_2p_analysis` module.
"""
import pytest
@pytest.fixture
def decorated_example():
"""Sample pytest fixture.
See more at: http://doc.pytest.org/en/latest/fixture.html
... | normal | {
"blob_id": "ae3198e68d9479605327b729c01fb15eae87ab98",
"index": 3282,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.fixture\ndef decorated_example():\n \"\"\"Sample pytest fixture.\n See more at: http://doc.pytest.org/en/latest/fixture.html\n \"\"\"\n\n\n<mask token>\n",
"step-3"... | [
0,
1,
2,
3,
4
] |
import sys
import time
import numpy as np
import vii
import cnn
from cnn._utils import (FLOAT_DTYPE,
_multi_convolve_image,
_opencl_multi_convolve_image,
_relu_max_pool_image,
_opencl_relu_max_pool_image)
GROUPS = 25, 20... | normal | {
"blob_id": "8ec257d5dfe84e363e3c3aa5adee3470c20d1765",
"index": 5866,
"step-1": "<mask token>\n\n\n@probe_time\ndef opencl_multi_convolve_image(*args):\n return _opencl_multi_convolve_image(*args)\n\n\n<mask token>\n\n\ndef multi_convolve_image(data, kernel, bias, dil_x, dil_y):\n if device < 0:\n ... | [
2,
6,
7,
9,
12
] |
import numpy as np
from sklearn.metrics import mutual_info_score
def mimic_binary(max_iter=100, fitness_func=None, space=None):
assert fitness_func is not None
assert space is not None
idx = np.random.permutation(np.arange(len(space)))
pool = space[idx[:int(len(space)/2)]] # randomly sample 50% of th... | normal | {
"blob_id": "360e661d8538a8f40b7546a54e9a9582fa64bd67",
"index": 700,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef mutual_info(parent, child):\n parent = [int(x) for x in parent]\n child = [int(x) for x in child]\n return mutual_info_score(parent, child)\n",
"step-3": "<mask token>\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def py_make_float_array(cst, op_version=None):
"""
Creates an array with a single element
from a constant.
@param cst constant
@param op_version unused
@return array
.. runpython::
:showcode:
:warningout: Dep... | flexible | {
"blob_id": "fdf6c28e65b50c52550a95c2d991b1eb3ec53a2f",
"index": 3540,
"step-1": "<mask token>\n\n\ndef py_make_float_array(cst, op_version=None):\n \"\"\"\n Creates an array with a single element\n from a constant.\n\n @param cst constant\n @param op_version unused\n @return... | [
5,
6,
7,
9,
10
] |
<|reserved_special_token_0|>
def get_gpu_name():
try:
out_str = subprocess.run(['nvidia-smi', '--query-gpu=gpu_name',
'--format=csv'], stdout=subprocess.PIPE).stdout
out_list = out_str.decode('utf-8').split('\n')
out_list = out_list[1:-1]
return out_list
except Exce... | flexible | {
"blob_id": "6eec95932ef445ba588f200233495f59c4d77aac",
"index": 5396,
"step-1": "<mask token>\n\n\ndef get_gpu_name():\n try:\n out_str = subprocess.run(['nvidia-smi', '--query-gpu=gpu_name',\n '--format=csv'], stdout=subprocess.PIPE).stdout\n out_list = out_str.decode('utf-8').split... | [
5,
6,
7,
8,
11
] |
# Cutting a Rod | DP-13
# Difficulty Level : Medium
# Last Updated : 13 Nov, 2020
# Given a rod of length n inches and an array of prices that contains prices of all pieces of size smaller than n. Determine the maximum value obtainable by cutting up the rod and selling the pieces. For example, if length of the rod is... | normal | {
"blob_id": "9cca73ebdf2b05fe29c14dc63ec1b1a7c917b085",
"index": 6508,
"step-1": "<mask token>\n\n\ndef cut_rod2(price, n):\n val = [(0) for x in range(n + 1)]\n val[0] = 0\n for i in range(1, n + 1):\n max_val = -1\n for j in range(i):\n max_val = max(max_val, price[j] + val[i ... | [
2,
3,
4,
5,
7
] |
<|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": "464980a2f17aeedfa08548d6c4e247f8c047e2cb",
"index": 5743,
"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 = [('profiles', ... | [
0,
1,
2,
3,
4
] |
COPY_GOOGLE_DOC_KEY = '1CdafeVmmtNa_PMV99TapPHvLUVzYz0xkvHcpINQtQ6c'
DEPLOY_SLUG = 'al-qassemi'
NUM_SLIDES_AFTER_CONTENT = 2
# Configuration
AUDIO = True
VIDEO = False
FILMSTRIP = False
PROGRESS_BAR = False | normal | {
"blob_id": "f398b724fc28bc25ddb8baf492f34075db0c1f61",
"index": 7703,
"step-1": "<mask token>\n",
"step-2": "COPY_GOOGLE_DOC_KEY = '1CdafeVmmtNa_PMV99TapPHvLUVzYz0xkvHcpINQtQ6c'\nDEPLOY_SLUG = 'al-qassemi'\nNUM_SLIDES_AFTER_CONTENT = 2\nAUDIO = True\nVIDEO = False\nFILMSTRIP = False\nPROGRESS_BAR = False\n",
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(max((y - x + 9) // 10, 0))
<|reserved_special_token_1|>
x, y = map(int, input().split())
print(max((y - x + 9) // 10, 0))
| flexible | {
"blob_id": "c9f3e956d4016846c8efe0382b79882559d6ce64",
"index": 1488,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(max((y - x + 9) // 10, 0))\n",
"step-3": "x, y = map(int, input().split())\nprint(max((y - x + 9) // 10, 0))\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
... | [
0,
1,
2
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import config
import web
import hashlib
import sys
db = web.database(dbn="mysql", db=config.db, user=config.user, pw=config.passwd)
def signIn(user, pw):
pwhash = hashlib.md5(pw).hexdigest()
uid = db.insert("users", uname=user, passwd=pwhash)
r... | normal | {
"blob_id": "6d032df195854703f36dce7d27524c8f5089c04d",
"index": 2334,
"step-1": "#!/usr/bin/env python\r\n# -*- coding: utf-8 -*-\r\n\r\nimport config\r\nimport web\r\nimport hashlib\r\nimport sys\r\n\r\n\r\ndb = web.database(dbn=\"mysql\", db=config.db, user=config.user, pw=config.passwd)\r\n\r\ndef signIn(use... | [
0
] |
# The sort() method sorts the list ascending by default.
#syntax
# list.sort(reverse=True|False, key=myFunc)
# Parameter Description
# reverse Optional. reverse=True will sort the list descending. Default is reverse=False
# key Optional. A function to specify the sorting criteria(s)
cars ... | normal | {
"blob_id": "5ab8d9eab30d72557f1a85b5b82c0df456e3843d",
"index": 1740,
"step-1": "<mask token>\n\n\ndef length_of_cars(car):\n return len(car)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef length(data):\n return len(data)\n\n\n<mask token>\n\n\ndef year(data):\n return data['year']\n\n\n<mask... | [
1,
3,
4,
5,
6
] |
<|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 = [m... | flexible | {
"blob_id": "f7a335db0ddf8a871e98eac54b59c41a40622153",
"index": 4566,
"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 = [migrations.sw... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def preprocess_img(img, size):
img = np.rollaxis(img, 0, 3)
img = skimage.transform.resize(img, size)
img = skimage.color.rgb2gray(img)
return img
<|reserved_special_token_1|>
import numpy as np
import skimage... | flexible | {
"blob_id": "9706b9ba81f41b131c364a16bb17a0c1e31e3a04",
"index": 6608,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef preprocess_img(img, size):\n img = np.rollaxis(img, 0, 3)\n img = skimage.transform.resize(img, size)\n img = skimage.color.rgb2gray(img)\n return img\n",
"step-3": ... | [
0,
1,
2,
3
] |
import re
from pathlib import Path
RAW_DUMP_XML = Path("raw_data/Wikipedia.xml")
def count_regexp():
"""Counts the occurences of the regular expressions you will write.
"""
# Here's an example regular expression that roughly matches a valid email address.
# The ones you write below should b... | normal | {
"blob_id": "8a4269f2094fa8ab8f6a93e653183dafb141232e",
"index": 5717,
"step-1": "<mask token>\n\n\ndef count_regexp():\n \"\"\"Counts the occurences of the regular expressions you will write.\n \"\"\"\n email = re.compile('[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+\\\\.[a-zA-Z]{2,5}')\n subheading = re.compile('... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
f.close()
<|reserved_special_token_0|>
for element in word_token:
if element in token_dictionary:
token_dictionary[element] += 1
else:
token_dictionary[element] = 1
for key in sorted(token_dictionary.keys()... | flexible | {
"blob_id": "2e27302abbe239c1a6067a9eb52f5a857fff7dd2",
"index": 1736,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nf.close()\n<mask token>\nfor element in word_token:\n if element in token_dictionary:\n token_dictionary[element] += 1\n else:\n token_dictionary[element] = 1\nfor key... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def to_absolute_path(filepath):
filepath = os.path.expanduser(filepath)
return os.path.abspath(filepath)
def is_valid_path(path):
abs_path = to_absolute_path(path)
if os.path.exists(abs_path) and os.path.isdir(abs_path):
return True
else:
return False... | flexible | {
"blob_id": "1cf573863fca660cc1fec71ab64743e7a2dd74d8",
"index": 1730,
"step-1": "<mask token>\n\n\ndef to_absolute_path(filepath):\n filepath = os.path.expanduser(filepath)\n return os.path.abspath(filepath)\n\n\ndef is_valid_path(path):\n abs_path = to_absolute_path(path)\n if os.path.exists(abs_pa... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
IMAGE_SIZE = 640, 480
<|reserved_special_token_1|>
IMAGE_SIZE=(640, 480)
| flexible | {
"blob_id": "af80cb4d4ce5c071efc39e85f89bb412cff6bf6e",
"index": 4489,
"step-1": "<mask token>\n",
"step-2": "IMAGE_SIZE = 640, 480\n",
"step-3": "IMAGE_SIZE=(640, 480)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
msg = "eduardo foi a feira"
if 'feira' in msg:
print('Sim, foi a feira')
else:
print('não ele não foi a feira')
| normal | {
"blob_id": "2a83bc9157e2210da46e58c56fc0b7199856f4c0",
"index": 6287,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif 'feira' in msg:\n print('Sim, foi a feira')\nelse:\n print('não ele não foi a feira')\n",
"step-3": "msg = 'eduardo foi a feira'\nif 'feira' in msg:\n print('Sim, foi a feir... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
log_info(f'Just initialized a bot named {bot.name}')
log_ok(f'Bot is given cash: {bot.cash}')
log_error('Nothing else to do ! :(')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
bot = TradeBot()
log_info(f'Just initi... | flexible | {
"blob_id": "18eed41cbc419ecbb215f77235be99f15f86ea9a",
"index": 7468,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlog_info(f'Just initialized a bot named {bot.name}')\nlog_ok(f'Bot is given cash: {bot.cash}')\nlog_error('Nothing else to do ! :(')\n",
"step-3": "<mask token>\nbot = TradeBot()\nlog_i... | [
0,
1,
2,
3,
4
] |
from sys import stdin
Read = stdin.readline
INF = int(1e9)
n, m = map(int, Read().split())
graph = [[INF] * (n+1) for _ in range(n+1)]
for i in range(1, n+1):
for j in range(1, n+1):
if i == j:
graph[i][j] = 0
for _ in range(m):
a, b = map(int, Read().split())
graph[a][b] = 1
for k i... | normal | {
"blob_id": "6ec39aa712c8abe610418e410883ff168d73126d",
"index": 3292,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(1, n + 1):\n for j in range(1, n + 1):\n if i == j:\n graph[i][j] = 0\nfor _ in range(m):\n a, b = map(int, Read().split())\n graph[a][b] = 1\nfo... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def download_images(links, name):
dir_name = name.replace(' ', '_')
if not os.path.isdir(dir_name):
os.mkdir(dir_name)
for i, img_link in enumerate(links):
img_path = os.path.join(dir_name, '{:06}.png'.format(i))
ulib.urlretrieve(img_link, img_path)
<... | flexible | {
"blob_id": "02ffdd1c03cc20883eddc691fc841022b4ff40fd",
"index": 1601,
"step-1": "<mask token>\n\n\ndef download_images(links, name):\n dir_name = name.replace(' ', '_')\n if not os.path.isdir(dir_name):\n os.mkdir(dir_name)\n for i, img_link in enumerate(links):\n img_path = os.path.join(... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
os.chdir(
'/Volumes/lesleydata/manual_Curation_app/images/svviz_JMZook/1000_Rand_Samp_INS_DEL_2/app_images/DEL/PBDEL'
)
for f in os.listdir():
file_name, file_ext = os.path.splitext(f)
file_name = file_name.replace... | flexible | {
"blob_id": "d483314fa7e8a2514fd5089b872b9e480e7454f4",
"index": 8116,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nos.chdir(\n '/Volumes/lesleydata/manual_Curation_app/images/svviz_JMZook/1000_Rand_Samp_INS_DEL_2/app_images/DEL/PBDEL'\n )\nfor f in os.listdir():\n file_name, file_ext = os.pat... | [
0,
1,
2,
3,
4
] |
a = int(input("Enter no. of over: "))
print("total ball:",a*6 )
import random
comp_runs = random.randint(0,36)
print("computer's run:" ,comp_runs)
comp_runs = comp_runs+1
print("runs need to win:",comp_runs)
chances_1 = a*6
no_of_chances_1 = 0
your_runs = 0
print("-----------------------------------------... | normal | {
"blob_id": "00312f57e8a78444937f46cecb62a2b684b4fc91",
"index": 8779,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('total ball:', a * 6)\n<mask token>\nprint(\"computer's run:\", comp_runs)\n<mask token>\nprint('runs need to win:', comp_runs)\n<mask token>\nprint(\"\"\"--------------------------... | [
0,
1,
2,
3,
4
] |
from django.conf.urls import url
from . import views
from .import admin
urlpatterns = [
url(r'^$', views.showberanda, name='showberanda'),
url(r'^sentimenanalisis/$', views.showsentimenanalisis, name='showsentimenanalisis'),
url(r'^bantuan/$', views.showbantuan, name='showbantuan'),
url(r'^tweets/', vi... | normal | {
"blob_id": "077c596f71aae22e85589fdaf78d5cdae8085443",
"index": 8710,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^$', views.showberanda, name='showberanda'), url(\n '^sentimenanalisis/$', views.showsentimenanalisis, name=\n 'showsentimenanalisis'), url('^bantuan/$', views.s... | [
0,
1,
2,
3
] |
import os
from conan import ConanFile
from conan.tools.build import check_min_cppstd
from conan.tools.cmake import CMake, CMakeDeps, CMakeToolchain, cmake_layout
from conan.tools.files import copy, get, replace_in_file, rmdir
from conan.tools.scm import Version
from conan.errors import ConanInvalidConfiguration
requi... | normal | {
"blob_id": "fe1c499efe492dbd4f5c9b99bd6339c503c7902b",
"index": 5766,
"step-1": "<mask token>\n\n\nclass RuyConan(ConanFile):\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 <mask token>\n <... | [
4,
12,
14,
15,
17
] |
# Generated by Django 2.1.2 on 2018-11-05 12:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('PDPAPI', '0011_auto_20181105_1021'),
]
operations = [
migrations.RemoveField(
model_name='optionvoting',
name='total... | normal | {
"blob_id": "53519c704ca9aff62140f187d4246208350fa9ba",
"index": 4610,
"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 = [('PDPAPI', '0... | [
0,
1,
2,
3,
4
] |
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