Dataset Viewer
Auto-converted to Parquet Duplicate
code
stringlengths
13
6.09M
order_type
stringclasses
2 values
original_example
dict
step_ids
sequencelengths
1
5
#! /usr/bin/env python2 ############################################################ # Program is part of PySAR v1.2 # # Copyright(c) 2015, Heresh Fattahi, Zhang Yunjun # # Author: Heresh Fattahi, Zhang Yunjun # ####################################################...
normal
{ "blob_id": "9515dcdfc0ece1a6740d6e7075bbcd1c20977590", "index": 9157, "step-1": "#! /usr/bin/env python2\n############################################################\n# Program is part of PySAR v1.2 #\n# Copyright(c) 2015, Heresh Fattahi, Zhang Yunjun #\n# Author: Heresh Fa...
[ 0 ]
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.shortcuts import render from django.http import JsonResponse from knowdb.models import Knowledge import random # Create your views here. def answer(request): ret = {} data = Knowledge.objects.all() num = random.choice(range(1,int...
normal
{ "blob_id": "eb558644283d992af2c324d457dbe674b714235f", "index": 735, "step-1": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.shortcuts import render\nfrom django.http import JsonResponse\nfrom knowdb.models import Knowledge\n\nimport random\n# Create your views here.\n\ndef an...
[ 0 ]
#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # Copyright © YXC # CreateTime: 2016-03-09 10:06:02 """ Example of functions with arbitrary number arguments """ def optional_argument_func(arg1='', arg2=''): """ Function with two optional arguments """ print("arg1:{0}".format(arg1)) ...
normal
{ "blob_id": "061a78650e2abf6a9d1e4796dd349174a8df5cb8", "index": 8747, "step-1": "<mask token>\n", "step-2": "<mask token>\n\n\ndef optional_argument_func(arg1='', arg2=''):\n \"\"\"\n Function with two optional arguments\n \"\"\"\n print('arg1:{0}'.format(arg1))\n print('arg2:{0}'.format(arg2))...
[ 0, 1, 2, 3, 4 ]
import unittest import sys import os #Add project root to path sys.path.append('../..') from speckle.SpeckleClient import SpeckleApiClient class TestSpeckleStream(unittest.TestCase): def setUp(self): self.s = SpeckleApiClient() self.user = {'email':'testuser@arup.com','password':'testpassword',...
normal
{ "blob_id": "b39403171ed264c8fae5ea4ae9d17f77cfcab497", "index": 9122, "step-1": "<mask token>\n\n\nclass TestSpeckleStream(unittest.TestCase):\n\n def setUp(self):\n self.s = SpeckleApiClient()\n self.user = {'email': 'testuser@arup.com', 'password':\n 'testpassword', 'username': 'te...
[ 7, 11, 12, 13, 14 ]
def lucas(): yield 2 a = 2 b = 1 while True: yield b a, b = b, a + b l = lucas() for i in range(10): print('{}: {}'.format(i, next(l)))
normal
{ "blob_id": "4745c00ca0f3ca4316117228a9d44bdb5df02877", "index": 7799, "step-1": "<mask token>\n", "step-2": "def lucas():\n yield 2\n a = 2\n b = 1\n while True:\n yield b\n a, b = b, a + b\n\n\n<mask token>\n", "step-3": "def lucas():\n yield 2\n a = 2\n b = 1\n while ...
[ 0, 1, 2, 3 ]
def solution(S): # write your code in Python 3.6 # Definitions log_sep = ',' num_sep = '-' time_sep = ':' # Initialization from collections import defaultdict # defaultdict initialize missing key to default value -> 0 bill = defaultdict(int) total = defaultdict(int) calls = S...
normal
{ "blob_id": "bf8bbeb408cb75af314ef9f3907456036e731c0b", "index": 294, "step-1": "<mask token>\n", "step-2": "def solution(S):\n log_sep = ','\n num_sep = '-'\n time_sep = ':'\n from collections import defaultdict\n bill = defaultdict(int)\n total = defaultdict(int)\n calls = S.splitlines()...
[ 0, 1, 2 ]
from data_structures.datacenter import Datacenter, urllib, json, URL = "http://www.mocky.io/v2/5e539b332e00007c002dacbe" def get_data(url, max_retries=5, delay_between_retries=1): """ Fetch the data from http://www.mocky.io/v2/5e539b332e00007c002dacbe and return it as a JSON object. ​ Args: ...
normal
{ "blob_id": "e56a7912b9940b1cab6c19d0047f1f60f0083f66", "index": 4911, "step-1": "from data_structures.datacenter import Datacenter, urllib, json,\n\n\nURL = \"http://www.mocky.io/v2/5e539b332e00007c002dacbe\"\n\n\ndef get_data(url, max_retries=5, delay_between_retries=1):\n \"\"\"\n Fetch the data from ht...
[ 0 ]
#!usr/bin/env python # -*- coding:utf-8 -*- """ @author: Jack @datetime: 2018/8/31 13:32 @E-mail: zhangxianlei117@gmail.com """ def isValid(s): stack = [] for ss in s: if ss in '([{': stack.append(ss) if ss in ')]}': if len(stack) <= 0: return Fal...
normal
{ "blob_id": "607f0aac0d6d2c05737f59803befcff37d559398", "index": 5117, "step-1": "#!usr/bin/env python\n# -*- coding:utf-8 -*-\n\"\"\"\n@author: Jack\n@datetime: 2018/8/31 13:32\n@E-mail: zhangxianlei117@gmail.com\n\"\"\"\n\n\ndef isValid(s):\n stack = []\n for ss in s:\n if ss in '([{':\n ...
[ 0 ]
version https://git-lfs.github.com/spec/v1 oid sha256:7f0b7267333e6a4a73d3df0ee7f384f7b3cb6ffb14ed2dc8a5894b853bac8957 size 1323
normal
{ "blob_id": "f1972baee8b399c9a52561c8f015f71cb9922bb0", "index": 4875, "step-1": "version https://git-lfs.github.com/spec/v1\noid sha256:7f0b7267333e6a4a73d3df0ee7f384f7b3cb6ffb14ed2dc8a5894b853bac8957\nsize 1323\n", "step-2": null, "step-3": null, "step-4": null, "step-5": null, "step-ids": [ 0 ...
[ 0 ]
from flask import Flask from flask import render_template import datetime from person import Person import requests from post import Post app = Flask(__name__) all_posts = all_posts = requests.get( "https://api.npoint.io/5abcca6f4e39b4955965").json() post_objects = [] for post in all_posts: post_obj = Post(po...
normal
{ "blob_id": "895ece0b8d45cd64e43f8ddc54824f7647254185", "index": 2547, "step-1": "<mask token>\n\n\n@app.route('/guess/<name>')\ndef guesser(name):\n person = Person(name=name)\n return render_template('guess.html', name=person.name, gender=person.\n gender, age=person.age, country=person.country)\n...
[ 2, 5, 6, 7, 8 ]
<|reserved_special_token_0|> def main(): reader = csv.reader(row for row in fileinput.input() if not row. startswith('#')) circles = lps.parse_lps(reader) for circle in circles: circle.r = R print(circle) <|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_spe...
flexible
{ "blob_id": "00f62fec7f5372c5798b0ebf3f3783233360581e", "index": 2987, "step-1": "<mask token>\n\n\ndef main():\n reader = csv.reader(row for row in fileinput.input() if not row.\n startswith('#'))\n circles = lps.parse_lps(reader)\n for circle in circles:\n circle.r = R\n print(cir...
[ 1, 2, 3, 4, 5 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> if d == m: print(a[0]) elif 0 < d < m: for i in range(hmin, hmax + 1): fin1 = a[0] - i + m if hmin <= fin1 - a[-1] <= hmax or fin1 == a[-1]: print(a[0] - i) found = 1 bre...
flexible
{ "blob_id": "3da82bcff0a4f91c1245892bc01e9f743ea354a8", "index": 4484, "step-1": "<mask token>\n", "step-2": "<mask token>\nif d == m:\n print(a[0])\nelif 0 < d < m:\n for i in range(hmin, hmax + 1):\n fin1 = a[0] - i + m\n if hmin <= fin1 - a[-1] <= hmax or fin1 == a[-1]:\n prin...
[ 0, 1, 2, 3, 4 ]
<|reserved_special_token_0|> @transaction.atomic def computers(request): ctx = {} computer = Computer.objects.all() ctx['brand'] = Brand.objects.all() if request.method == 'POST': if request.POST['computer_id'] != '': computer = computer.filter(computer_id__icontains=request.POST[ ...
flexible
{ "blob_id": "18689741a33e6d17e694ee0619a1f36d8d178cbb", "index": 3223, "step-1": "<mask token>\n\n\n@transaction.atomic\ndef computers(request):\n ctx = {}\n computer = Computer.objects.all()\n ctx['brand'] = Brand.objects.all()\n if request.method == 'POST':\n if request.POST['computer_id'] !...
[ 1, 3, 4, 5, 6 ]
<|reserved_special_token_0|> <|reserved_special_token_1|> <|reserved_special_token_0|> while t: t -= 1 y = [] z = [] x = str(input()) for i in range(len(x)): if not int(i) % 2: y.append(x[i]) else: z.append(x[i]) print(''.join(y) + ' ' + ''.join(z)) <...
flexible
{ "blob_id": "ac32fb5fcd71790f9dbf0794992a9dc92a202c9b", "index": 7972, "step-1": "<mask token>\n", "step-2": "<mask token>\nwhile t:\n t -= 1\n y = []\n z = []\n x = str(input())\n for i in range(len(x)):\n if not int(i) % 2:\n y.append(x[i])\n else:\n z.appen...
[ 0, 1, 2, 3 ]
#!usr/bin/env python #-*- coding:utf-8 -*- # this model is for decision tree # objective: To cluster different service # JialongLi 2017/03/18 import re import os import sys import pickle import copy import random import pydotplus USER_NUM = 1000 reload(sys) sys.setdefaultencoding( "utf-8" ) from ...
normal
{ "blob_id": "65c0d940bacc2d016121812c435cc60f3fc1ba90", "index": 7233, "step-1": "#!usr/bin/env python\r\n#-*- coding:utf-8 -*-\r\n\r\n# this model is for decision tree\r\n# objective: To cluster different service\r\n# JialongLi 2017/03/18\r\n\r\nimport re\r\nimport os\r\nimport sys\r\nimport pickle\r\nimport co...
[ 0 ]
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
25