code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
DIM Station Test
~~~~~~~~~~~~~~~~
Unit test for DIM Station
"""
import unittest
from dimp import ID, NetworkID
class StationTestCase(unittest.TestCase):
def test_identifier(self):
print('\n---------------- %s' % self)
str1 = 'gsp... | normal | {
"blob_id": "533d0b883a0bbbb148f04826e4c0a2bcc31732e9",
"index": 6702,
"step-1": "<mask token>\n\n\nclass StationTestCase(unittest.TestCase):\n\n def test_identifier(self):\n print('\\n---------------- %s' % self)\n str1 = 'gsp-s001@x77uVYBT1G48CLzW9iwe2dr5jhUNEM772G'\n id1 = ID(str1)\n ... | [
3,
4,
5,
6,
7
] |
"""
\tSeja bem-vindo ao Admirável Mundo Novo!
\tO objetivo do jogo é dar suporte ao desenvolvimento de Agentes Inteligentes que utilizam Deep Reinforcement Learning
\tpara tarefas de Processamento de Linguagem Natural em língua portuguesa.
\tAutor: Gabriel Pontes (@ograndoptimist)
"""
import random
fr... | normal | {
"blob_id": "38ffbb6a66837e975a611a57579bb365ab69a32c",
"index": 9504,
"step-1": "<mask token>\n\n\nclass AdmiravelMundoNovo(object):\n <mask token>\n <mask token>\n\n def transicao_estado(self, acao):\n if self._valor_estado == 2 and acao == 0:\n self._estado_6()\n elif self._v... | [
18,
21,
23,
25,
28
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print('Content-Type:text/html\n\n')
print(
"""
<html>
<head>
<link href="iconTech.png" rel="icon"/>
<meta name="viewport" content="width=device-width,intial-scale=1.0"/>
<link href="../css/bootstrap.min.css" rel="stylesheet" type="text/css"/>
<link href="... | flexible | {
"blob_id": "968cfcfe9d31adcd3a67a88a66e5ebe7b719be8d",
"index": 2841,
"step-1": "<mask token>\n",
"step-2": "print('Content-Type:text/html\\n\\n')\nprint(\n \"\"\"\n<html>\n<head>\n<link href=\"iconTech.png\" rel=\"icon\"/>\n<meta name=\"viewport\" content=\"width=device-width,intial-scale=1.0\"/>\n<link h... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Carafe(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Carafe(object):
def __init__(self):
self.level = CarafeLevel()
self.temp = CarafeTe... | flexible | {
"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
] |
#--------------------------------------------------------
# File------------project2.py
# Developer-------Paige Weber
# Course----------CS1213-03
# Project---------Project #1
# Due-------------September 26, 2017
#
# This program uses Gregory-Leibniz series to compute
# an approximate value of pi.
#---------------------... | normal | {
"blob_id": "466148395a4141793b5f92c84513fd093876db76",
"index": 9964,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif number_of_terms >= 1:\n add_approximation = 0\n for count in range(1, number_of_terms):\n approximation = (-1) ** (count + 1) / (2 * count - 1)\n add_approximation ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append(PROJ_DIR)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
PROJ_DIR = os.path.dirname(os.path.dirname(__file__))
sys.path.append(PROJ_DIR)
<|reserved_special_token_1|>
import sys
import os
PROJ_DIR =... | flexible | {
"blob_id": "54276074d84e63e6418f8738bb7f910424f1c94d",
"index": 9469,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(PROJ_DIR)\n",
"step-3": "<mask token>\nPROJ_DIR = os.path.dirname(os.path.dirname(__file__))\nsys.path.append(PROJ_DIR)\n",
"step-4": "import sys\nimport os\nPROJ_DIR ... | [
0,
1,
2,
3
] |
import imp
from django.shortcuts import render
# ***************** API ****************
from django.views.decorators.csrf import csrf_exempt
from rest_framework.parsers import JSONParser,FileUploadParser,MultiPartParser,FormParser
from .models import *
from django.http import Http404
from .serializers import *
from re... | normal | {
"blob_id": "aec5280869a780bbd93ef24b659d9959f7b81426",
"index": 3545,
"step-1": "<mask token>\n\n\nclass AddBlogs(generics.CreateAPIView):\n permission_classes = IsSuperUser,\n serializer_class = BlogSerializer\n queryset = BlogModel.objects.all()\n\n\nclass ViewBlog(generics.ListAPIView):\n permiss... | [
182,
186,
190,
206,
212
] |
numbers = [3,4,6,7]
# 0 1 2 3
print(numbers)
print(numbers[1])
print(numbers[-1])
numbers[1] = 3
print(numbers)
del numbers[1]
print(numbers)
numbers.append(17)
print(numbers)
numbers.insert(2,5)
print(numbers)
numbers.sort()
print(numbers) | normal | {
"blob_id": "34d3eebf6ccb19f891ccbb16db47cd6412f1cb0f",
"index": 1155,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(numbers)\nprint(numbers[1])\nprint(numbers[-1])\n<mask token>\nprint(numbers)\ndel numbers[1]\nprint(numbers)\nnumbers.append(17)\nprint(numbers)\nnumbers.insert(2, 5)\nprint(number... | [
0,
1,
2,
3
] |
class Solution(object):
def shortestPalindrome(self, s):
"""
:type s: str
:rtype: str
"""
left= 0
#for right in range(len(s)-1, -1, -1):
for right in reversed(range(len(s))):
if s[right] == s[left]:
left += 1
... | normal | {
"blob_id": "4d18c056845403adc9c4b5848fafa06d0fe4ff4c",
"index": 3165,
"step-1": "class Solution(object):\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Solution(object):\n\n def shortestPalindrome(self, s):\n \"\"\"\n :type s: str\n :rtype: str\n \"\"\"\n left =... | [
1,
2,
3,
4,
5
] |
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from typing import List
from sqlalchemy.sql.functions import current_date, current_user
from db.session import get_db
from db.models.jobs import Job
from schemas.jobs import JobCreate, ShowJob
from db.repository.jobs impo... | normal | {
"blob_id": "e8092faed22607f9c8f18a79709022037ff647bf",
"index": 9625,
"step-1": "<mask token>\n\n\n@router.post('/create-job', response_model=ShowJob)\ndef create_job(job: JobCreate, db: Session=Depends(get_db), current_user:\n User=Depends(get_current_user_from_token)):\n owner_id = current_user.id\n ... | [
4,
5,
6,
7,
8
] |
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.orm import backref
db = SQLAlchemy()
def connect_db(app):
"""Connect to database."""
db.app = app
db.init_app(app)
"""Models for Blogly."""
class User(db.Model):
__tablename__= "users"
id = db.Column(db.Integer, primary_key=True, autoincre... | normal | {
"blob_id": "9ae92d6ee4b82f7ed335c47d53567b817140a51c",
"index": 8922,
"step-1": "<mask token>\n\n\nclass User(db.Model):\n __tablename__ = 'users'\n id = db.Column(db.Integer, primary_key=True, autoincrement=True)\n first_name = db.Column(db.String(50), nullable=False)\n last_name = db.Column(db.Str... | [
4,
5,
6,
7,
8
] |
import requests
from bs4 import BeautifulSoup
import urllib.request
url = 'http://www.dytt8.net/'
user = {'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'
}
html = urllib.request.urlopen(url)
html.encoding = 'utf-8'
soup = Beauti... | normal | {
"blob_id": "2e571e3412bf9f3a42bf87976ea9a5ec68d5815c",
"index": 9056,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in soup.find_all('a'):\n if 'href' in i.attrs:\n print(i.attrs['href'])\n",
"step-3": "<mask token>\nurl = 'http://www.dytt8.net/'\nuser = {'User-Agent':\n 'Mozilla/5... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AggregationTypes(Enum):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
cla... | flexible | {
"blob_id": "436b89b91aed14525f847e6488b452b7ca0e1b70",
"index": 5322,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AggregationTypes(Enum):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass AggregationTypes(Enum):\n NO_AGG = 'N... | [
0,
1,
2,
3
] |
N, D = map(int, input().split())
ans = 0
D2 = D*D
for i in range(N):
x, y = map(int, input().split())
if (x*x+y*y) <= D2:
ans += 1
print(ans)
| normal | {
"blob_id": "947055d1d6acc50e1722d79ea30e327414cd9c41",
"index": 8523,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(N):\n x, y = map(int, input().split())\n if x * x + y * y <= D2:\n ans += 1\nprint(ans)\n",
"step-3": "N, D = map(int, input().split())\nans = 0\nD2 = D * D\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
img = cv2.imread('test_image.png', 0)
res = np.zeros((img.shape[0], img.shape[1], 3), np.uint8)
thresh = cv2.threshold(img, 50, 255, 0)[1]
_, contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.... | flexible | {
"blob_id": "1babf9f27e6792d2a1c2545a1e3bcd08fefa0975",
"index": 5639,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n img = cv2.imread('test_image.png', 0)\n res = np.zeros((img.shape[0], img.shape[1], 3), np.uint8)\n thresh = cv2.threshold(img, 50, 255, 0)[1]\n _, contours,... | [
0,
1,
2,
3,
4
] |
print(4 / 2, 4 / 3, 4 / 4)
print(5 / 2, 5 / 3, 5 / 4)
print(4 // 2, 4 // 3, 4 // 4)
print(5 // 2, 5 // 3, 5 // 4)
print(4.0 / 2, 4 / 3.0, 4.0 / float(4))
print(5.0 / 2, 5 / 3.0, 5.0 / float(4))
print(4.0 // 2, 4 // 3.0, 4.0 // float(4))
print(5.0 // 2, 5 // 3.0, 5.0 // float(4))
| normal | {
"blob_id": "988e1f0631c434cbbb6d6e973792a65ebbd9405e",
"index": 9474,
"step-1": "<mask token>\n",
"step-2": "print(4 / 2, 4 / 3, 4 / 4)\nprint(5 / 2, 5 / 3, 5 / 4)\nprint(4 // 2, 4 // 3, 4 // 4)\nprint(5 // 2, 5 // 3, 5 // 4)\nprint(4.0 / 2, 4 / 3.0, 4.0 / float(4))\nprint(5.0 / 2, 5 / 3.0, 5.0 / float(4))\np... | [
0,
1
] |
from . import utility
from . import regular_gram_schmidt as RGSC
from . import custom_gram_schmidt as CGSC
def RegularGramSchmidt():
while True:
vectors = utility.get_matrix_from_user(5)
if len(vectors) > 0:
calc = RGSC.RegularGramSchmidt()
result_matrix = calc.calc(vectors... | normal | {
"blob_id": "b6b3d94db62b47aac9bf78e8224a38ccff9335e3",
"index": 7591,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef RegularGramSchmidt():\n while True:\n vectors = utility.get_matrix_from_user(5)\n if len(vectors) > 0:\n calc = RGSC.RegularGramSchmidt()\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python2.7
from __future__ import print_function, division
import numpy as np
import matplotlib
import os
#checks if there is a display to use.
if os.environ.get('DISPLAY') is None:
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as clr
import dtk
import sys
import ti... | normal | {
"blob_id": "3acbb37809462ee69ff8792b4ad86b31dba5d630",
"index": 3821,
"step-1": "<mask token>\n\n\ndef load_clusters(file_name):\n if file_name not in load_clusters._cache:\n cluster_data = ClusterData()\n cluster_data.load_file(file_name)\n else:\n cluster_data = load_clusters._cache... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
@contextlib.contextmanager
def dummy_context(*args, **kwargs):
yield
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@contextlib.contextmanager
def dummy_context(*args, **kwargs):
yield
if six.PY2:
from collections import Mapping... | flexible | {
"blob_id": "1bdb19373960e4f63d80d6ab73ec3c0939e40b7f",
"index": 364,
"step-1": "<mask token>\n\n\n@contextlib.contextmanager\ndef dummy_context(*args, **kwargs):\n yield\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@contextlib.contextmanager\ndef dummy_context(*args, **kwargs):\n yield\n\n\nif six... | [
1,
2,
3,
4,
5
] |
def solution(n):
answer = []
for i in range(1,n+1):
if n % i == 0:
answer.append(i)
return sum(answer)
def solution2(n):
return sum([i for i in range(1,n+1) if n % i == 0])
print(solution(12))
print(solution(5))
print(solution2(12))
print(solution2(5))
# n return
# 12 28
# 5 6 | normal | {
"blob_id": "7cfbc36cc6cd6ff7c30f02d979667448f2003546",
"index": 9267,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution2(n):\n return sum([i for i in range(1, n + 1) if n % i == 0])\n\n\n<mask token>\n",
"step-3": "def solution(n):\n answer = []\n for i in range(1, n + 1):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution(object):
def postorder_traversal(self, root: TreeNode):
if not root:
... | flexible | {
"blob_id": "1d314a04625cfadf574f122b95577c1e677a8b35",
"index": 3247,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution(object):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution(object):\n\n def postorder_traversal(self, root: TreeNode):\n if not root:\n ... | [
0,
1,
2,
3,
4
] |
INPUT_MINBIAS = '/build/RAWReference/MinBias_RAW_320_STARTUP.root'
INPUT_TTBAR = '/build/RAWReference/TTbar_RAW_320_STARTUP.root'
puSTARTUP_TTBAR = '/build/RAWReference/TTbar_Tauola_PileUp_RAW_320_STARTUP.root'
relval = {
'step1': { 'step': 'GEN-HLT',
'timesize': (100, ['MinBias','TTbar']),
'igprof': (50... | normal | {
"blob_id": "78c9f92349ba834bc64dc84f884638c4316a9ea4",
"index": 352,
"step-1": "<mask token>\n",
"step-2": "INPUT_MINBIAS = '/build/RAWReference/MinBias_RAW_320_STARTUP.root'\nINPUT_TTBAR = '/build/RAWReference/TTbar_RAW_320_STARTUP.root'\npuSTARTUP_TTBAR = (\n '/build/RAWReference/TTbar_Tauola_PileUp_RAW_... | [
0,
1,
2
] |
"""
Type data Dictionary hanya sekedar menghubungkan KEY dan VALUE
KVP = KEY VALUE PAIR
"""
kamus = {}
kamus['anak'] = 'son'
kamus['istri'] = 'wife'
kamus['ayah'] = 'father'
print(kamus)
print(kamus['ayah'])
print('\nData ini dikirimkan server gojek, memberikan info driver di sekitar pemakai aplikasi')
data_server_g... | normal | {
"blob_id": "67b101df690bbe9629db2cabf0060c0f2aad9722",
"index": 2389,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(kamus)\nprint(kamus['ayah'])\nprint(\n \"\"\"\nData ini dikirimkan server gojek, memberikan info driver di sekitar pemakai aplikasi\"\"\"\n )\n<mask token>\nprint(data_server_... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class OitYitikuscrapyDataPipeline(object):
def open_spider(self, spider):
path = 'D:\\xiti10001\\data\\{}\\'.format(time.strftime('%Y%m%d',
time.localtime()))
isExists = os.path.exists(path)
if isExists:
pass
else:
o... | flexible | {
"blob_id": "315996a783d7b95fd87374a8fe2602a572de071e",
"index": 3495,
"step-1": "<mask token>\n\n\nclass OitYitikuscrapyDataPipeline(object):\n\n def open_spider(self, spider):\n path = 'D:\\\\xiti10001\\\\data\\\\{}\\\\'.format(time.strftime('%Y%m%d',\n time.localtime()))\n isExists... | [
2,
3,
4,
5,
6
] |
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse, Http404, HttpResponseNotAllowed
from booli import booliwood
from models import add_bosta, get_all_bostas, Bosta
from django import forms
import time
class BostaForm(forms.Form):
maxPrice = forms.IntegerField()
livin... | normal | {
"blob_id": "53573a21364e9dfef9ed1164185ab441dbc29601",
"index": 123,
"step-1": "<mask token>\n\n\nclass BostaForm(forms.Form):\n maxPrice = forms.IntegerField()\n livingArea = forms.IntegerField()\n room = forms.IntegerField()\n\n\nclass BostaIdForm(forms.Form):\n bostaId = forms.IntegerField()\n\n\... | [
6,
8,
9,
10,
11
] |
# -*- coding: utf-8 -*-
"""
# @Time : 2018/6/11 下午6:45
# @Author : zhanzecheng
# @File : 542.01矩阵1.py
# @Software: PyCharm
"""
# 一个简单的循环方式来解决这个问题
# 这一题的思路不错，用多次循环来计数
# TODO: check 1
class Solution:
def updateMatrix(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: List[List[in... | normal | {
"blob_id": "1145050d82e614d5c248fc7e6a71720e6ff72414",
"index": 6055,
"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 updateMatrix(self, matrix):\n \"\"\"\n :type matrix: Li... | [
0,
1,
2,
3,
4
] |
import numpy
import cv2
from keras.models import model_from_json
from keras.layers import Dense
from keras.utils import np_utils
import os
from keras.optimizers import SGD, Adam
numpy.random.seed(42)
file_json = open('model.json', "r")
model_json = file_json.read()
file_json.close()
model = model_from_json(model_json)... | normal | {
"blob_id": "05021c3b39a0df07ca3d7d1c3ff9d47be6723131",
"index": 4084,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnumpy.random.seed(42)\n<mask token>\nfile_json.close()\n<mask token>\nmodel.load_weights('weights.h5')\nprint('Model loaded')\n<mask token>\nmodel.compile(loss='categorical_crossentropy',... | [
0,
1,
2,
3,
4
] |
import pytest
from freezegun import freeze_time
from datetime import datetime
from khayyam import JalaliDatetime, TehranTimezone
from dilami_calendar import DilamiDatetime, dilami_to_jalali
def test_dilami_date():
gdate = datetime(2018, 2, 1)
ddate = DilamiDatetime(gdate, tzinfo=TehranTimezone)
assert ... | normal | {
"blob_id": "7997efb00f24ecc5c4fbf3ca049eca6b5b178d53",
"index": 4088,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_dilami_date():\n gdate = datetime(2018, 2, 1)\n ddate = DilamiDatetime(gdate, tzinfo=TehranTimezone)\n assert ddate.year == 1591\n assert ddate.month == 6\n as... | [
0,
1,
2,
3,
4
] |
# Generated by Django 3.2 on 2021-06-28 04:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rrhh', '0014_alter_detallepermiso_fecha_permiso'),
]
operations = [
migrations.AlterField(
model_name='permiso',
name=... | normal | {
"blob_id": "5db450424dc143443839e24801ece444d0d7e162",
"index": 3611,
"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 = [('rrhh', '001... | [
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:
<|reserved_special_token_0|>
def GetNext(self, pNode):
def left_most(p):
if p == None:
... | flexible | {
"blob_id": "57f8584a8d058e5f9d4e0b7b75c7ec8dbbfef24a",
"index": 9681,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n <mask token>\n",
"step-3": "class Solution:\n <mask token>\n\n def GetNext(self, pNode):\n\n def left_most(p):\n if p == None:\n ... | [
0,
1,
2,
3,
4
] |
import logging
from .const import (
DOMAIN,
CONF_SCREENS
)
from typing import Any, Callable, Dict, Optional
from homeassistant.helpers.entity import Entity
from homeassistant.helpers.typing import (
ConfigType,
DiscoveryInfoType,
HomeAssistantType,
)
from homeassistant.core import callback
from home... | normal | {
"blob_id": "6f1b08a5ae1a07a30d89f3997461f4f97658f364",
"index": 4920,
"step-1": "<mask token>\n\n\nclass StateConverters:\n <mask token>\n <mask token>\n <mask token>\n\n\nclass DGUSScreen(Entity):\n\n def __init__(self, hass, screen):\n self._state = None\n self._hass = hass\n ... | [
7,
10,
11,
13,
14
] |
<|reserved_special_token_0|>
class CSV_Normalize:
<|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|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "ecbca04a58c19469e63ee2310e2b2f6b86c41199",
"index": 1011,
"step-1": "<mask token>\n\n\nclass CSV_Normalize:\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 <mask t... | [
11,
12,
19,
21,
23
] |
#!/bin/python3
def solveMeFirst(a,b):
return a + b
print(solveMeFirst(int(input()),int(input())))
| normal | {
"blob_id": "5d55c586c57de8f287d9f51f0cb1f188c8046c29",
"index": 2977,
"step-1": "<mask token>\n",
"step-2": "def solveMeFirst(a, b):\n return a + b\n\n\n<mask token>\n",
"step-3": "def solveMeFirst(a, b):\n return a + b\n\n\nprint(solveMeFirst(int(input()), int(input())))\n",
"step-4": "#!/bin/pytho... | [
0,
1,
2,
3
] |
from nbt import nbt
from matplotlib import pyplot
class Banana(object):
id = 10
def srange(x1, xDoors, spaces):
"""
a counting thing that i dunno what does.
"""
for a in xrange(x1, x1 + xDoors):
yield a
for a in xrange(x1 + xDoors + spaces, x1 + spaces + xDoors * 2):
yield a
... | normal | {
"blob_id": "4e9674ea46bdf930d1e99bcda56eaa300c84deef",
"index": 7196,
"step-1": "<mask token>\n\n\nclass Banana(object):\n id = 10\n\n\n<mask token>\n\n\ndef template_village_file(tick):\n \"\"\"\n Creates a template villages.dat file that i can modify later on\n \"\"\"\n cat = nbt.NBTFile()\n ... | [
14,
15,
19,
21,
23
] |
#finding optimal betting strategy for the blackjack game using Monte Carlo ES method
import random
class Player():
def __init__(self) -> None:
q = None
policy = None
returns = None
cards = 0
dealer = 0
def hit(self):
self.cards += random.randint(1,11)
def d... | normal | {
"blob_id": "db159cfb198311b0369f65eb9e10947c4d28c695",
"index": 2919,
"step-1": "<mask token>\n\n\nclass Player:\n <mask token>\n\n def hit(self):\n self.cards += random.randint(1, 11)\n\n def deal(self):\n self.cards = random.randint(1, 11) + random.randint(1, 11)\n self.dealer = ... | [
4,
5,
8,
9,
10
] |
<|reserved_special_token_0|>
@register.resources()
class Roles(object):
<|reserved_special_token_0|>
def role(self, req, resp, id):
return obj(req, infinitystone_role, sql_id=id)
def roles(self, req, resp):
return sql_list(req, 'infinitystone_role', search={'id': str,
'name':... | flexible | {
"blob_id": "13e27c29839286988b37d2d3685f54d42fd57973",
"index": 9773,
"step-1": "<mask token>\n\n\n@register.resources()\nclass Roles(object):\n <mask token>\n\n def role(self, req, resp, id):\n return obj(req, infinitystone_role, sql_id=id)\n\n def roles(self, req, resp):\n return sql_li... | [
3,
5,
6,
8,
9
] |
<|reserved_special_token_0|>
def generate_grid():
""" Code that generates the grid """
y_offset = -10
for a in range(20):
x_offset = 10
for b in range(1):
y_offset += 20
for c in range(20):
square(x_offset, y_offset, 20, 20, dark_green)
for d in ... | flexible | {
"blob_id": "fbe091b1cf3ecc2f69d34e3b1c399314b38ebc4a",
"index": 5656,
"step-1": "<mask token>\n\n\ndef generate_grid():\n \"\"\" Code that generates the grid \"\"\"\n y_offset = -10\n for a in range(20):\n x_offset = 10\n for b in range(1):\n y_offset += 20\n for c in ra... | [
5,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [re_path('^rest/', include(
'core_federated_search_app.rest.urls'))]
<|reserved_special_token_1|>
<|reserved_special_token_0|>
from django.conf.urls import include
from django.urls import re_path
urlpatterns =... | flexible | {
"blob_id": "6903584b27c0720cebf42ed39968b18f0f67f796",
"index": 6167,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [re_path('^rest/', include(\n 'core_federated_search_app.rest.urls'))]\n",
"step-3": "<mask token>\nfrom django.conf.urls import include\nfrom django.urls import re_pat... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def task1():
print('Task 1 is starting...')
print('Task 1 is waiting to acquire Lock A')
with lock_a:
print('Task 1 has acquired Lock A')
print('Task 1 is doing some calculations')
time.sleep(2)
print('Task 1 is waiting to acquire Lock B')
... | flexible | {
"blob_id": "c7d8a67587a6ca01c23ed922faabbaca8bbaf337",
"index": 6307,
"step-1": "<mask token>\n\n\ndef task1():\n print('Task 1 is starting...')\n print('Task 1 is waiting to acquire Lock A')\n with lock_a:\n print('Task 1 has acquired Lock A')\n print('Task 1 is doing some calculations')... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def decision(statement, player):
stdscr.clear()
stdscr.border(0)
stdscr.timeout(-1)
decision = 'play again' if statement == 1 else 'return to main menu'
stdscr.addstr(3, 5, 'Your Partner has decided to ' + decision)
if statement == 1:
stdscr.addstr(5, 10, '... | flexible | {
"blob_id": "a6f03340c2f60c061977fed6807703cdaeb1b7fd",
"index": 7976,
"step-1": "<mask token>\n\n\ndef decision(statement, player):\n stdscr.clear()\n stdscr.border(0)\n stdscr.timeout(-1)\n decision = 'play again' if statement == 1 else 'return to main menu'\n stdscr.addstr(3, 5, 'Your Partner h... | [
4,
5,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [path('firstModel', FirstModelView.as_view())]
<|reserved_special_token_1|>
from django.urls import path
from .views import FirstModelView
urlpatterns = [path('firstModel', FirstModelView.as_view())]
| flexible | {
"blob_id": "4efd22d132accd0f5945a0c911b73b67654b92e4",
"index": 9358,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('firstModel', FirstModelView.as_view())]\n",
"step-3": "from django.urls import path\nfrom .views import FirstModelView\nurlpatterns = [path('firstModel', FirstModel... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with tf.Session() as ss:
ss.run(init)
for step in range(201):
ss.run(train)
if step % 10 == 0:
print(step, ss.run([k, b]))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
x_data = n... | flexible | {
"blob_id": "ba7f66a0f9cf1028add778315033d596e10d6f16",
"index": 3197,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith tf.Session() as ss:\n ss.run(init)\n for step in range(201):\n ss.run(train)\n if step % 10 == 0:\n print(step, ss.run([k, b]))\n",
"step-3": "<mask ... | [
0,
1,
2,
3,
4
] |
class Node:
def __init__(self, value, next=None):
self.value = value
self.next = next
def __str__(self):
values = []
iter = self
while iter != None:
values.append(iter.value)
iter = iter.next
return ' -> '.join(values)
@staticmethod
... | normal | {
"blob_id": "599310cfd05be28445535bc72251128ed72a9069",
"index": 4372,
"step-1": "class Node:\n\n def __init__(self, value, next=None):\n self.value = value\n self.next = next\n <mask token>\n\n @staticmethod\n def makelist(values):\n node = None\n for i in range(len(value... | [
3,
4,
6,
7
] |
<|reserved_special_token_0|>
def F(f):
"""Returns the test file on the "data" subdirectory"""
return pkg_resources.resource_filename(__name__, os.path.join('data', f))
<|reserved_special_token_0|>
def load_expected(filename):
"""Loads libsvm's svm-predict output file with probabilities"""
all_labe... | flexible | {
"blob_id": "c24be05700e5ee043d09d6f2e78cb3de1e7088f1",
"index": 6242,
"step-1": "<mask token>\n\n\ndef F(f):\n \"\"\"Returns the test file on the \"data\" subdirectory\"\"\"\n return pkg_resources.resource_filename(__name__, os.path.join('data', f))\n\n\n<mask token>\n\n\ndef load_expected(filename):\n ... | [
8,
9,
12,
13,
17
] |
from functools import reduce
import confuse
config = confuse.Configuration('SleepCycleWebhooks')
config.set_file('config.yaml')
def get(path):
return reduce(lambda view, part: view[part], path.split('.'), config).get()
| normal | {
"blob_id": "16879598a8b1a0b23c5ea6de18f8fb0b0b77201c",
"index": 1360,
"step-1": "<mask token>\n\n\ndef get(path):\n return reduce(lambda view, part: view[part], path.split('.'), config).get()\n",
"step-2": "<mask token>\nconfig.set_file('config.yaml')\n\n\ndef get(path):\n return reduce(lambda view, par... | [
1,
2,
3,
4
] |
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
#######################
# Iterative solution
#######################
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
if head is None:
return h... | normal | {
"blob_id": "682495fec200ddad5a68f06bb0ec24e59036e66b",
"index": 3286,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n <mask token>\n\n\nclass Solution:\n\n def reverseList(self, head):\n prev = None\n while head:\n curr = head\n head = head.next\n ... | [
6,
7,
8,
9,
11
] |
#!/usr/bin/env python
import remctl
import json
import datetime
import time,random
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description = "List all TCC Forge overlays"
)
parser.add_argument(
'-n',
'--now',
action = "store_false",
default = True,
dest = 'now',
help ... | normal | {
"blob_id": "1ce34bfec6a9acfeaf0d5c5835ebebed4d7ee369",
"index": 2056,
"step-1": "#!/usr/bin/env python\n\nimport remctl\nimport json\nimport datetime\nimport time,random\nimport argparse\n\nif __name__ == '__main__':\n\tparser = argparse.ArgumentParser(\n\t\tdescription = \"List all TCC Forge overlays\"\n\t)\n\... | [
0
] |
<|reserved_special_token_0|>
class Writer:
<|reserved_special_token_0|>
@staticmethod
def rep(string, find, replace):
ex = find + '[^0-9]'
while re.search(ex, string) is not None:
res = re.search(ex, string)
string = string[0:res.start()] + replace + ' ' + string[r... | flexible | {
"blob_id": "acd0b9019ef413699b47ecb2b66a0980cf3aa81f",
"index": 9792,
"step-1": "<mask token>\n\n\nclass Writer:\n <mask token>\n\n @staticmethod\n def rep(string, find, replace):\n ex = find + '[^0-9]'\n while re.search(ex, string) is not None:\n res = re.search(ex, string)\n ... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
import sys
import ROOT
from ROOT import TTree
from ROOT import TChain
import numpy as np
import yaml
import xml.etree.ElementTree as ET
import datetime
#sys.path.append("/disk/gamma/cta/store/takhsm/FermiMVA/AllSky")
#sys.path.append("/home/takhsm/FermiMVA/python")
ROOT.gROOT.SetBatch()
from arra... | normal | {
"blob_id": "66cdeaa106a8f22dbfd64c12c4cb04fdb9f5b453",
"index": 5160,
"step-1": "#!/usr/bin/env python\n\nimport sys\nimport ROOT\nfrom ROOT import TTree\nfrom ROOT import TChain\nimport numpy as np\nimport yaml\nimport xml.etree.ElementTree as ET\nimport datetime\n#sys.path.append(\"/disk/gamma/cta/store/takhs... | [
0
] |
import collections
def solution(genres, plays):
answer = []
cache = collections.defaultdict(list) # 장르 : [고유번호, 재생횟수]
genre_order = collections.defaultdict(int) # 장르 : 전체재생횟수
order = collections.defaultdict() # 전체재생횟수 : 장르
# 첫번째 딕셔너리와 두번째 딕셔너리 생성
for i in range(len(genres)):
cache[ge... | normal | {
"blob_id": "d56c80b4822b1bd0f2d4d816ed29a4da9d19a625",
"index": 3040,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution(genres, plays):\n answer = []\n cache = collections.defaultdict(list)\n genre_order = collections.defaultdict(int)\n order = collections.defaultdict()\n fo... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def custom_exception_handler(exc, context):
response = exception_handler(exc, context)
if response is not None:
response.data['status_code'] = response.status_code
return response
<|reserved_special_token_1... | flexible | {
"blob_id": "4e6e4917aee2385fe118d6e58c359a4c9fc50943",
"index": 8617,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef custom_exception_handler(exc, context):\n response = exception_handler(exc, context)\n if response is not None:\n response.data['status_code'] = response.status_code\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Hour(object):
def __init__(self):
self.dayOfTheWeek = fake.day_of_week()
self.openingTime = str(random.randint(1, 12)) + 'AM'
self.closingTime = str(random.randint(1, 12)) + 'PM'
<|reserved_special_token_1|>
<|reserved_special_token_0|>
fake.add_provi... | flexible | {
"blob_id": "e3386b01bb0bdc7064a2e3e9f3edce8a3231721b",
"index": 3664,
"step-1": "<mask token>\n\n\nclass Hour(object):\n\n def __init__(self):\n self.dayOfTheWeek = fake.day_of_week()\n self.openingTime = str(random.randint(1, 12)) + 'AM'\n self.closingTime = str(random.randint(1, 12)) +... | [
2,
3,
4,
5
] |
import pickle
class myPickle:
def make(self, obj,fileName):
print("myPickle make file",fileName)
pickle.dump( obj, open(fileName,'wb') )
print(" DONE")
def load(self, fileName):
print("myPickle load file",fileName)
tr = pickle.load( open(fileName,'rb') ... | normal | {
"blob_id": "e50feccd583d7e33877d5fcc377a1d79dc247d3a",
"index": 3117,
"step-1": "<mask token>\n\n\nclass myPickle:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass myPickle:\n\n def make(self, obj, fileName):\n print('myPickle make file', fileName)\n pickle.dump(obj,... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def Msort(left, right):
if left + 1 < right:
mid = int((left + right) / 2)
Msort(left, mid)
Msort(mid, right)
merge(left, mid, right)
def main():
global ans
global A
n = int(input())
A = list(map(int, input().split()))
Msort(0, n)
... | flexible | {
"blob_id": "dc81ab808720c3a2c76174264c9be9bcdd99c292",
"index": 1265,
"step-1": "<mask token>\n\n\ndef Msort(left, right):\n if left + 1 < right:\n mid = int((left + right) / 2)\n Msort(left, mid)\n Msort(mid, right)\n merge(left, mid, right)\n\n\ndef main():\n global ans\n ... | [
2,
3,
4,
5,
6
] |
"""4. Начните работу над проектом «Склад оргтехники». Создайте класс, описывающий склад. А также класс «Оргтехника»,
который будет базовым для классов-наследников. Эти классы — конкретные типы оргтехники (принтер, сканер, ксерокс).
В базовом классе определить параметры, общие для приведенных типов. В классах-наследника... | normal | {
"blob_id": "03bc377bef1de7d512b7982a09c255af1d82fb7d",
"index": 3905,
"step-1": "<mask token>\n\n\nclass Whouse:\n <mask token>\n\n def get_tech_to_whouse(self, equip: Equipment):\n if self.total == self.max_volume:\n raise OverflowError('Склад заполнен!')\n self.storage[self.add_... | [
9,
11,
12,
16,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(y)
plt.figure(figsize=(10, 1))
plt.bar(range(len(y)), y)
plt.savefig('test.png')
plt.clf()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
y = np.array([2, 2, 3, 4, 5])
print(y)
plt.figure(figsize=(10, 1))
plt.b... | flexible | {
"blob_id": "2f714ed54a19ec26d7ecb1979e79366721b3d0fe",
"index": 6682,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(y)\nplt.figure(figsize=(10, 1))\nplt.bar(range(len(y)), y)\nplt.savefig('test.png')\nplt.clf()\n",
"step-3": "<mask token>\ny = np.array([2, 2, 3, 4, 5])\nprint(y)\nplt.figure(fig... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 29 15:10:34 2018
@author: nit_n
"""
from gaussxw import gaussxwab
from numpy import linspace, arange
from pylab import plot, show, xlabel, ylabel
from math import pi, exp, sqrt
k = 1.38065e-23 # joules/kelvin
h = 6.626e-34 # joules
lam1 = 390e-9 # meters
... | normal | {
"blob_id": "9b88a3976d522bdfd38502e29eefc1f1a0c29ed2",
"index": 2884,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef n(T):\n k = 1.38065e-23\n c = 300000000.0\n N = 100\n a = h * c / (lam2 * k * T)\n b = h * c / (lam1 * k * T)\n x, w = gaussxwab(N, a, b)\n s = 0.0\n for k... | [
0,
2,
3,
4,
5
] |
print('-'*100)
print('BIENVENIDOS A TIENDA ELEGANCIA')
print('-'*100)
prendas = ('Remeras', 'Camisas', 'Pantalones', 'Faldas', 'Vestidos', 'Abrigos', 'Calzado')
precioSinPromo = 0
superPuntos = 0
#ARTICULO 1
tipoPrenda1 = int(input('Ingrese Codigo de la prenda seleccionada: 0=Remeras, 1=Camisas, 2=Pantalones, 3=Fald... | normal | {
"blob_id": "333d237dd4a203fcfde3668901d725f16fbc402e",
"index": 1684,
"step-1": "<mask token>\n",
"step-2": "print('-' * 100)\nprint('BIENVENIDOS A TIENDA ELEGANCIA')\nprint('-' * 100)\n<mask token>\nprint(prendaseleccionada1)\n<mask token>\nprint('La prenda: ', tipoPrenda1, 'participa de del plan SuperPuntos... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append(jsondb_dir)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
root_dir = os.path.dirname(os.path.dirname(__file__))
jsondb_dir = os.path.join(root_dir, 'jsondb')
sys.path.append(jsondb_dir)
<|reserved_... | flexible | {
"blob_id": "eeb588a162fa222c0f70eb832a0026d0d8adbe9b",
"index": 6769,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(jsondb_dir)\n",
"step-3": "<mask token>\nroot_dir = os.path.dirname(os.path.dirname(__file__))\njsondb_dir = os.path.join(root_dir, 'jsondb')\nsys.path.append(jsondb_dir... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class BBoxSelector:
def __init__(self, bbox, zoom=8, resolution=10):
center = (bbox.min_y + bbox.max_y) / 2, (bbox.min_x + bbox.max_x) / 2
self.map = Map(center=center, zoom=zoom, scroll_wheel_zoom=True)
self.resolution = resolution
control = DrawContr... | flexible | {
"blob_id": "0545aff80e19e47cb9e5b1941e92ff5cb109f9e6",
"index": 1921,
"step-1": "<mask token>\n\n\nclass BBoxSelector:\n\n def __init__(self, bbox, zoom=8, resolution=10):\n center = (bbox.min_y + bbox.max_y) / 2, (bbox.min_x + bbox.max_x) / 2\n self.map = Map(center=center, zoom=zoom, scroll_w... | [
3,
4,
5,
6,
7
] |
def search_way(adjacency_list, points):
use = [False for i in range(points.__len__())]
way = [0 for i in range(points.__len__())]
cost = [100000 for i in range(points.__len__())]
cost[0] = 0
checkVar = 0
test = True
while test:
min = 100000
for i in range(points.__len__()):
... | normal | {
"blob_id": "1e4d21998b9f8915167166e5965b0c8c87fcf61d",
"index": 3060,
"step-1": "<mask token>\n",
"step-2": "def search_way(adjacency_list, points):\n use = [(False) for i in range(points.__len__())]\n way = [(0) for i in range(points.__len__())]\n cost = [(100000) for i in range(points.__len__())]\n... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if A > B:
print(A)
elif B > A:
print(B)
else:
print(AorB)
<|reserved_special_token_1|>
A, B = map(str, input().split())
if A > B:
print(A)
elif B > A:
print(B)
else:
print(AorB)
<|reserved_special_toke... | flexible | {
"blob_id": "8cbe78863de535a5b83eacebe67402569b4015fa",
"index": 9189,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif A > B:\n print(A)\nelif B > A:\n print(B)\nelse:\n print(AorB)\n",
"step-3": "A, B = map(str, input().split())\nif A > B:\n print(A)\nelif B > A:\n print(B)\nelse:\n ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python2
from rpcz import compiler
PROTO = '../index_server.proto'
compiler.generate_proto(PROTO, '.')
compiler.generate_proto(
PROTO, '.',
with_plugin='python_rpcz', suffix='_rpcz.py')
| normal | {
"blob_id": "e868998833774c829b05ae8da3280bed61363be1",
"index": 177,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncompiler.generate_proto(PROTO, '.')\ncompiler.generate_proto(PROTO, '.', with_plugin='python_rpcz', suffix=\n '_rpcz.py')\n",
"step-3": "<mask token>\nPROTO = '../index_server.proto'\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
def minWindow(self, source, target):
s_char_count... | flexible | {
"blob_id": "665a868ee71f247a621d82108e545257296e0427",
"index": 7048,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n def minWindow(self, source, target):\n s_char_count = defaul... | [
1,
3,
4,
5,
6
] |
import re
text = "Python is an interpreted high-level general-purpose programming language."
fiveWord = re.findall(r"\b\w{5}\b", text)
print("Following are the words with five Letters:")
for strWord in fiveWord:
print(strWord)
| normal | {
"blob_id": "aa15d51760c16181907994d329fb7ceede6a539b",
"index": 5858,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Following are the words with five Letters:')\nfor strWord in fiveWord:\n print(strWord)\n",
"step-3": "<mask token>\ntext = (\n 'Python is an interpreted high-level general... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import sys
from static_pipeline import render
from static_pipeline.lib import argparse
if __name__ == "__main__":
""" Use argparse to decide what to do
"""
# set up arg parsing
parser = argparse.ArgumentParser(
description='render and rearrange files ' \
... | normal | {
"blob_id": "348676e43e4dfbbe7cd0c0527acb8c613d3d1ebc",
"index": 6301,
"step-1": "#!/usr/bin/env python\nimport sys\nfrom static_pipeline import render\nfrom static_pipeline.lib import argparse\n\nif __name__ == \"__main__\":\n \"\"\" Use argparse to decide what to do\n \"\"\"\n # set up arg parsing\n ... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
cli.run()
<|reserved_special_token_1|>
from . import cli
cli.run()
| flexible | {
"blob_id": "235623c3f557dbc28fbff855a618e4d26932ca65",
"index": 7630,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncli.run()\n",
"step-3": "from . import cli\ncli.run()\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import os
import pubmed_parser as pp
nlpPath = "/Users/kapmayn/Desktop/nlp"
articlesFolderPath = nlpPath + "/articles"
abstractsFilePath = nlpPath + "/abstracts.txt"
articlesFileNameList = os.listdir(articlesFolderPath)
articlesFileNameList(reverse = True)
resultFile = open(abstractsFilePath, 'w')
for fileName in ar... | normal | {
"blob_id": "32f9b5c32acbb6411fe6ab99616d8459acfd7c74",
"index": 719,
"step-1": "<mask token>\n",
"step-2": "<mask token>\narticlesFileNameList(reverse=True)\n<mask token>\nfor fileName in articlesFileNameList:\n print(fileName)\n dictOut = pp.parse_medline_xml(articlesFolderPath + '/' + fileName)\n f... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if os.environ.get('HEROKU') is None:
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db')
SECRET_KEY = os.urandom(24)
CONSUMER_KEY = '23571-333bb5dbab872eee6686bf86'
TROVE_KEY = 'E767C55D-0941-4... | flexible | {
"blob_id": "0656aba517023c003e837d5ad04daeb364f7fda8",
"index": 4688,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif os.environ.get('HEROKU') is None:\n SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db')\n SECRET_KEY = os.urandom(24)\n CONSUMER_KEY = '23571-333bb5dbab87... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class YoutubeVerifier(base.SimpleVerifier):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def get_follower_info(self):
"""
Get follower information from youtube api subscriptions
:rtype: dict
:return: follower info
"""
... | flexible | {
"blob_id": "7ba2377b7d4f8d127cfee63c856d20753da9b7c6",
"index": 4526,
"step-1": "<mask token>\n\n\nclass YoutubeVerifier(base.SimpleVerifier):\n <mask token>\n <mask token>\n\n def get_follower_info(self):\n \"\"\"\n Get follower information from youtube api subscriptions\n\n :rtyp... | [
2,
3,
4,
5,
6
] |
from flask import Flask
from sim.toggle import ToggleSensor
from sim.sensor import Sensor
app = Flask(__name__)
sensors = [
ToggleSensor(id="s-01", description="lampadina"),
ToggleSensor(id="s-02", description="lampadina"),
ToggleSensor(id="s-03", description="allarme atomico"),
ToggleSensor(id="s-04... | normal | {
"blob_id": "2843845848747c723d670cd3a5fcb7127153ac7e",
"index": 264,
"step-1": "<mask token>\n\n\n@app.route('/<sensor_id>', methods=['GET'])\ndef sensor_details(sensor_id):\n sensor_pos = search_index_by_id(sensor_id)\n if sensor_pos >= 0:\n return {'sensor': sensors[sensor_pos]}\n else:\n ... | [
2,
3,
4,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
name = str(input('Name: ')).capitalize().strip()
grade1 = float(input('Grade 1: '))
grade2 = float(input('Grade 2: '))
avgrade = (grade1 + grade2) / 2
student.append([name, [grade1, grade2], avgrade... | flexible | {
"blob_id": "74028a7b317c02c90603ad24c1ddb35a1d5d0e9d",
"index": 8678,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n name = str(input('Name: ')).capitalize().strip()\n grade1 = float(input('Grade 1: '))\n grade2 = float(input('Grade 2: '))\n avgrade = (grade1 + grade2) / 2\n ... | [
0,
1,
2,
3
] |
"""Support for Bond covers."""
import asyncio
import logging
from typing import Any, Callable, Dict, List, Optional
from bond import BOND_DEVICE_TYPE_MOTORIZED_SHADES, Bond
from homeassistant.components.cover import DEVICE_CLASS_SHADE, CoverEntity
from homeassistant.config_entries import ConfigEntry
from homeassistan... | normal | {
"blob_id": "ba9d7b877eda3f7469db58e2ee194b601e3c3e08",
"index": 4227,
"step-1": "<mask token>\n\n\nclass BondCover(CoverEntity):\n <mask token>\n\n def __init__(self, bond: Bond, device: BondDevice):\n \"\"\"Create HA entity representing Bond cover.\"\"\"\n self._bond = bond\n self._d... | [
10,
11,
12,
14,
15
] |
<|reserved_special_token_0|>
def myFunk():
with open('users.csv', 'w') as fp:
a = csv.writer(fp, delimiter=',')
roles = ['inspector', 'admin']
data = [['Userneme', 'hash_password', 'role'], ['Olya', func_hash(
'Olya'), 'admin'], ['Stas', func_hash('Stas'), 'admin'], [
... | flexible | {
"blob_id": "96d13a883590ca969e997bbb27bcdbee1b24252f",
"index": 2730,
"step-1": "<mask token>\n\n\ndef myFunk():\n with open('users.csv', 'w') as fp:\n a = csv.writer(fp, delimiter=',')\n roles = ['inspector', 'admin']\n data = [['Userneme', 'hash_password', 'role'], ['Olya', func_hash(\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def check_db_exists(opt):
try:
conn = psycopg2.connect(opt)
cur = conn.cursor()
cur.close()
print('Database exists.')
return True
except:
print("Database doesn't exist.")
return False
def create_db(opt):
if check_db_exi... | flexible | {
"blob_id": "09792da1c3cc38c7df7def2b487c2078de4e8912",
"index": 9514,
"step-1": "<mask token>\n\n\ndef check_db_exists(opt):\n try:\n conn = psycopg2.connect(opt)\n cur = conn.cursor()\n cur.close()\n print('Database exists.')\n return True\n except:\n print(\"Dat... | [
3,
4,
5,
6,
7
] |
def inplace_quick_sort(S, start, end):
if start > end:
return
pivot = S[end]
left = start
right = end - 1
while left <= right:
while left <= right and S[left] < pivot:
left += 1
while left <= right and pivot < S[right]:
right -= 1
if left <= ri... | normal | {
"blob_id": "2a09711e3e487c5d7790af592ff2eb03bb53cff2",
"index": 5068,
"step-1": "<mask token>\n",
"step-2": "def inplace_quick_sort(S, start, end):\n if start > end:\n return\n pivot = S[end]\n left = start\n right = end - 1\n while left <= right:\n while left <= right and S[left]... | [
0,
1,
2,
3
] |
from django.db import models
# Create your models here.
class Glo_EstadoPlan(models.Model):
descripcion_estado = models.CharField(max_length=100)
def __str__(self):
return '{}'.format(self.descripcion_estado) | normal | {
"blob_id": "b0a51877b59e14eefdd662bac468e8ce12343e6b",
"index": 3885,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Glo_EstadoPlan(models.Model):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Glo_EstadoPlan(models.Model):\n descripcion_estado = models.CharFie... | [
0,
1,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
articlesFileNameList(reverse=True)
<|reserved_special_token_0|>
for fileName in articlesFileNameList:
print(fileName)
dictOut = pp.parse_medline_xml(articlesFolderPath + '/' + fileName)
for item in dictOut:
res... | flexible | {
"blob_id": "32f9b5c32acbb6411fe6ab99616d8459acfd7c74",
"index": 719,
"step-1": "<mask token>\n",
"step-2": "<mask token>\narticlesFileNameList(reverse=True)\n<mask token>\nfor fileName in articlesFileNameList:\n print(fileName)\n dictOut = pp.parse_medline_xml(articlesFolderPath + '/' + fileName)\n f... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def generate_circular_path(radius, offset):
theta = np.deg2rad(np.linspace(0, 360, 360))
x_data = radius * np.sin(theta) + offset[0]
y_data = radius * np.cos(theta) + offset[1]
radii = radius * np.ones((360,))
return x_data, y_data, radii
<|reserved_special_token_0|>... | flexible | {
"blob_id": "e0541c377eb6631e4ef5eb79b1204612ce8af48c",
"index": 6107,
"step-1": "<mask token>\n\n\ndef generate_circular_path(radius, offset):\n theta = np.deg2rad(np.linspace(0, 360, 360))\n x_data = radius * np.sin(theta) + offset[0]\n y_data = radius * np.cos(theta) + offset[1]\n radii = radius *... | [
3,
8,
9,
10,
11
] |
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.header import Header
class SENDMAIL(object):
def __init__(self):
self.smtpserver = 'smtp.qq.com'
self.username = 'wu_chang_hao@qq.com' # 比如QQ邮箱
self.password = 'xxxxxxxxx... | normal | {
"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
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 14 20:35:10 2020
@author: Johanna
"""
import numpy as np
###############################################################################
# Complex Visibility Functions
###############################################################################
... | normal | {
"blob_id": "ea3217be80b6d1d3a400139bc4a91870cd2f1d87",
"index": 5118,
"step-1": "<mask token>\n\n\ndef compute_vis(X, F):\n vis = np.matmul(X, np.transpose(F)).astype(np.complex64)\n return vis\n\n\ndef compute_vis_grad(vis, Z, F):\n Z_vis = compute_vis(Z, F)\n grad = -np.matmul(np.conjugate(F.T), v... | [
11,
13,
15,
16,
17
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
os.system(
"notify-send 'Backup' 'NAS Backup Starting...' -i /usr/share/pixmaps/xarchiver/xarchiver-extract.png "
)
os.system("sudo mount -o username='emre' //192.168.1.2/Samba /media/NAS")
... | flexible | {
"blob_id": "b6dd04219de1d4526d175254da539107362772d6",
"index": 9229,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n os.system(\n \"notify-send 'Backup' 'NAS Backup Starting...' -i /usr/share/pixmaps/xarchiver/xarchiver-extract.png \"\n )\n os.system(\"sudo mount -o... | [
0,
1,
2,
3,
4
] |
#!
import os
import sys
#get current working directory
cwd = os.getcwd()
ovjtools = os.getenv('OVJ_TOOLS')
javaBinDir = os.path.join(ovjtools, 'java', 'bin')
# get the envirionment
env = Environment(ENV = {'JAVA_HOME' : javaBinDir,
'PATH' : javaBinDir + ':' + os.environ['PATH']})
env.Execut... | normal | {
"blob_id": "549d7368d49cf2f4d2c6e83e300f31db981b62bd",
"index": 6285,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nenv.Execute('cd vjunit && make -f makevjunit')\nenv.Execute('cd VJQA/src && make -f makexmlcheck')\nExecute('rm -rf ovj_qa')\n<mask token>\nif not os.path.exists(path):\n os.makedirs(p... | [
0,
1,
2,
3,
4
] |
class Leg:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@property
def smelly(self):
return self.__smelly
<|reserved_special_token_0|>
def is_smelly(self):
return self.__smelly
<|reserved_special_token_1|>
class Leg:
<|reserved_special_token_0|>
<|reserve... | flexible | {
"blob_id": "a4ecc578a163ee4657a2c9302f79f15c2e4e39de",
"index": 672,
"step-1": "class Leg:\n <mask token>\n <mask token>\n\n @property\n def smelly(self):\n return self.__smelly\n <mask token>\n\n def is_smelly(self):\n return self.__smelly\n",
"step-2": "class Leg:\n <mask ... | [
3,
4,
5,
6,
7
] |
from collections import defaultdict, Counter
import numpy as np
import sys
import re
def parseFile(file, frequency_tree):
readnumber = re.compile('[r]+\d+')
line_spliter = re.compile('\t+')
colon_spliter = re.compile(':')
forward_reads = 0
reverse_reads = 0
unmatched_reads = 0
read_position... | normal | {
"blob_id": "227b71cb6d4cde8f498ad19c1c5f95f7fc572752",
"index": 6995,
"step-1": "<mask token>\n\n\ndef getChromosome(str):\n if str == '*' or str[3:] == 'X':\n return -1\n try:\n return int(str[3:])\n except:\n return -1\n",
"step-2": "<mask token>\n\n\ndef parseFile(file, freque... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class QualityPatch:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def getReleventPatches(self):
relevent_patches = []
for i, coor in enumerate(self.p... | flexible | {
"blob_id": "0ad71f02e37f2744036b134c33e037a724fd38a6",
"index": 8049,
"step-1": "<mask token>\n\n\nclass QualityPatch:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def getReleventPatches(self):\n relevent_patches = []\n for i, coor in enumerate(s... | [
3,
6,
7,
9,
10
] |
#!/usr/bin/env python3
# Created by: Khang Le
# Created on: Dec 2019
# This program uses lists and rotation
def rotation(list_of_number, ratating_time):
numbers = list_of_number[0]
numbers = [list_of_number[(i + ratating_time) % len(list_of_number)]
for i, x in enumerate(list_of_number)]
... | normal | {
"blob_id": "74de0da708c7eb792dea15afb23713d9d71af520",
"index": 5491,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n lst = []\n user_input = int(input('Enter number of elements : '))\n rotating_time = int(input('Enter how many times you want to rotate: '))\n print('The numb... | [
0,
1,
2,
3,
4
] |
import os
import unittest
import tempfile
from bpython import config
TEST_THEME_PATH = os.path.join(os.path.dirname(__file__), "test.theme")
class TestConfig(unittest.TestCase):
def test_load_theme(self):
struct = config.Struct()
struct.color_scheme = dict()
config.load_theme(struct, TEST... | normal | {
"blob_id": "d5efbbb6e818e797652f304f3d022e04be245778",
"index": 4931,
"step-1": "<mask token>\n\n\nclass TestConfig(unittest.TestCase):\n\n def test_load_theme(self):\n struct = config.Struct()\n struct.color_scheme = dict()\n config.load_theme(struct, TEST_THEME_PATH, struct.color_schem... | [
2,
3,
4,
5,
6
] |
207. Course Schedule
Some courses may have prerequisites, for example to take course 0 you have to first take course 1,
which is expressed as a pair: [0,1]
Given the total number of courses and a list of prerequisite pairs, is it possible for you to finish all courses?
For example:
2, [[1,0]]
There are a total of... | normal | {
"blob_id": "34aa08b9a5a89d3fca129271a9e812e2382ca88e",
"index": 4196,
"step-1": "207. Course Schedule \n\nSome courses may have prerequisites, for example to take course 0 you have to first take course 1, \nwhich is expressed as a pair: [0,1]\n\nGiven the total number of courses and a list of prerequisite pairs... | [
0
] |
<|reserved_special_token_0|>
class WbsAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Equipment_TypeAdmin(admin.ModelAdmin):
list_display = 'type',
list_filter = 'type',
<|reserved_special_token_0|>
<|reserved_special_toke... | flexible | {
"blob_id": "292c66bd5b7f56ee8c27cabff01cd97ff36a79dc",
"index": 8885,
"step-1": "<mask token>\n\n\nclass WbsAdmin(admin.ModelAdmin):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Equipment_TypeAdmin(admin.ModelAdmin):\n list_display = 'type',\n list_filter = 'type',\n\n\n<mask token>\n"... | [
3,
4,
5,
6,
7
] |
'''
这部分理解参考：
https://www.bilibili.com/video/BV1QA411H7tK?from=search&seid=17305042509580602672
图文代码地址： https://blog.csdn.net/qq_30758629/article/details/112527763
'''
import threading
import time
data=0
lock=threading.Lock() #创建一个锁对象
def func():
global data
print("%s is acquire lock..\n" %threading.curr... | normal | {
"blob_id": "7aa426723f5311b5abec4a7ace9d3ec1e5e31d9a",
"index": 5966,
"step-1": "<mask token>\n\n\ndef func():\n global data\n print('%s is acquire lock..\\n' % threading.current_thread().getName())\n if lock.acquire():\n print('%s get lock ' % threading.current_thread().getName())\n data... | [
1,
2,
3,
4,
5
] |
from flask import Flask,request,Response
from spamapp.spam import SpamIdentify
from json import dumps,loads
app = Flask(__name__)
spam = SpamIdentify()
@app.route("/",methods=['GET'])
def home():
return Response(response=dumps({"msg":"App successfull"}), status=200, mimetype='application/json')
@app.route("/spam... | normal | {
"blob_id": "1552d862d3b9df45eda8c08256e8b4437ab08740",
"index": 2641,
"step-1": "<mask token>\n\n\n@app.route('/', methods=['GET'])\ndef home():\n return Response(response=dumps({'msg': 'App successfull'}), status=200,\n mimetype='application/json')\n\n\n@app.route('/spamapi/', methods=['GET', 'POST']... | [
2,
3,
4,
5,
6
] |
import pygame
from Actor import Actor
import PlayerInput
class TestActor(Actor):
def __init__(self):
super(TestActor, self).__init__()
def act(self):
self.key_commands()
def key_commands(self):
if PlayerInput.is_key_down(pygame.K_LEFT):
self.set_location(self.x - 1, ... | normal | {
"blob_id": "9cb11c2bf032aa16abd3463ecdb8997addedc912",
"index": 1570,
"step-1": "<mask token>\n\n\nclass TestActor(Actor):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestActor(Actor):\n <mask token>\n\n def act(self):\n self.key_commands()\n <m... | [
1,
2,
3,
4,
5
] |
import random
from elment.login_registration_element import LoginRegistration
from page.test_verification_code_page import VerificationCodeAction
public_number_vip = ['17800000000','17800000001','17800000002','17800000003','17800000004','17800000005','17800000006',
'17800000007','17800000008','1780000... | normal | {
"blob_id": "e5a698979bc84fe733a9bf5cd51e2f078956d468",
"index": 2461,
"step-1": "<mask token>\n\n\nclass LoginRegistrationAction(LoginRegistration):\n\n def check_welcome_xunyou(self):\n return self.welcome_xunyou().text\n <mask token>\n\n def logged_in_random(self):\n self.phone_id().sen... | [
14,
18,
20,
25,
26
] |
<|reserved_special_token_0|>
class HistoryListView(generics.GenericAPIView):
<|reserved_special_token_0|>
def post(self, request):
serializer_class = self.serializer_class(data=request.data)
serializer_class.is_valid(raise_exception=True)
return Response(serializer_class.data, status=... | flexible | {
"blob_id": "8edca4c50e48734073e80de85088964837247696",
"index": 2597,
"step-1": "<mask token>\n\n\nclass HistoryListView(generics.GenericAPIView):\n <mask token>\n\n def post(self, request):\n serializer_class = self.serializer_class(data=request.data)\n serializer_class.is_valid(raise_excep... | [
8,
9,
11,
12
] |
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 23 15:26:47 2015
@author: tomhope
"""
import cPickle as pickle
from nltk.tokenize import word_tokenize
from sklearn.feature_extraction.text import CountVectorizer
import re
def tokenize_speeches(text):
text = re.sub('[\[\]<>\'\+\=\/(.?\",&*!_#:;@$%|)0-9]'," ", text)
... | normal | {
"blob_id": "17548459b83fe4dea29f20dc5f91196b2b86ea60",
"index": 4655,
"step-1": "# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Oct 23 15:26:47 2015\n\n@author: tomhope\n\"\"\"\nimport cPickle as pickle\nfrom nltk.tokenize import word_tokenize\nfrom sklearn.feature_extraction.text import CountVectorizer\nimpor... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution(object):
def longestPalindrome(self, s):
"""
:type s: str
:rtype: str
"""
if len(s) == 0:
return '... | flexible | {
"blob_id": "7c39b3927bc0702818c54875785b4657c20c441e",
"index": 2272,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def longestPalindrome(self, s):\n \"\"\"\n :type s: str\n :rtype: str\n \"\"\"\n ... | [
0,
1,
2,
3
] |
import socket
import threading
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
port = 12321
server.bind(('', port))
server.listen()
client_names = []
clients = []
def broadcast(message):
for client in clients:
client.send(message)
def handle(client):
while True:
try:
... | normal | {
"blob_id": "f1fbbbe4258d0fb0a43505f4718730934fd595ec",
"index": 1831,
"step-1": "<mask token>\n\n\ndef broadcast(message):\n for client in clients:\n client.send(message)\n\n\ndef handle(client):\n while True:\n try:\n message = client.recv(1024)\n broadcast(message)\n ... | [
3,
4,
5,
6,
7
] |
lc_headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 11_0) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0 Safari/605.1.15",
"authority": "leetcode.com",
}
lc_all = "https://leetcode.com/api/problems/all/"
lc_submissions = "https://leetcode.com/api/submissions/?off... | normal | {
"blob_id": "f715628da2f1b950b8fbf8aa5b033e5299d3e224",
"index": 7857,
"step-1": "<mask token>\n",
"step-2": "lc_headers = {'User-Agent':\n 'Mozilla/5.0 (Macintosh; Intel Mac OS X 11_0) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.0 Safari/605.1.15'\n , 'authority': 'leetcode.com'}\nlc_all = 'http... | [
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": "1330addd53c6187a41dfea6957bf47aaecca1135",
"index": 7180,
"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 = [('regions', '... | [
0,
1,
2,
3,
4
] |
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