code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "e9659555938211d067919ee5e0083efb29d42d7b",
"index": 8600,
"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 = [('classroom',... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def is_triangle_number(n):
root = (-1 + math.sqrt(1 + 8.0 * n)) / 2
if root.is_integer():
return True
return False
def calculation():
count = 0
for word in string_list:
sum = 0
for char in word:
sum += char_dict[char]
if is... | flexible | {
"blob_id": "61019a5439a6f0c1aee51db9b048a26fb9b5bf5d",
"index": 8257,
"step-1": "<mask token>\n\n\ndef is_triangle_number(n):\n root = (-1 + math.sqrt(1 + 8.0 * n)) / 2\n if root.is_integer():\n return True\n return False\n\n\ndef calculation():\n count = 0\n for word in string_list:\n ... | [
2,
3,
4,
5,
6
] |
from netsec_2017.Lab_3.packets import RequestItem, RequestMoney, RequestToBuy, FinishTransaction, SendItem, SendMoney
from netsec_2017.Lab_3.PLS.client import PLSClient, PLSStackingTransport
from netsec_2017.Lab_3.peepTCP import PeepClientTransport, PEEPClient
import asyncio
import playground
import random, logging
fro... | normal | {
"blob_id": "a12f9435eb4b090bc73be14ad64fdf43c5caa4d2",
"index": 7471,
"step-1": "<mask token>\n\n\nclass ShopClientProtocol(asyncio.Protocol):\n <mask token>\n <mask token>\n\n def connection_made(self, transport):\n print('ShopClient connection_made is called\\n')\n self.transport = tran... | [
5,
7,
9,
10,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def debug_inference(inference, dummy, entropy, cross_entropy,
expected_log_likelhood):
dummy = tf.Print(dummy, [entropy], 'entropy: ')
dummy = tf.Print(dummy, [cross_entropy], 'cross_entropy: ')
dummy = tf.Print(... | flexible | {
"blob_id": "4758d6efde21e3b5d91f107188f24b6ddf7cbbe4",
"index": 7935,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef debug_inference(inference, dummy, entropy, cross_entropy,\n expected_log_likelhood):\n dummy = tf.Print(dummy, [entropy], 'entropy: ')\n dummy = tf.Print(dummy, [cross_en... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def mapper(line):
fields = line.split(',')
return Row(ID=int(fields[0]), name=fields[1].encode('utf-8'), age=int(
fields[2]), numFriends=int(fields[3]))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def mapper(line):
fiel... | flexible | {
"blob_id": "e4bc2e97b70e2dc91dc86457866ec6b3531ef803",
"index": 8772,
"step-1": "<mask token>\n\n\ndef mapper(line):\n fields = line.split(',')\n return Row(ID=int(fields[0]), name=fields[1].encode('utf-8'), age=int(\n fields[2]), numFriends=int(fields[3]))\n\n\n<mask token>\n",
"step-2": "<mask ... | [
1,
2,
3,
4,
5
] |
import requests
from datetime import date
from datetime import timedelta
def get_offset_date(modifed_date, offset_in_days):
return date.isoformat(modifed_date + timedelta(days=int(offset_in_days)))
def get_trending_repositories(start_search_date, number_of_results=20):
github_api_uri = 'https://api.github.c... | normal | {
"blob_id": "8a7536b998a6d122e2e7529af1ebe2a0f025303f",
"index": 5620,
"step-1": "<mask token>\n\n\ndef get_offset_date(modifed_date, offset_in_days):\n return date.isoformat(modifed_date + timedelta(days=int(offset_in_days)))\n\n\ndef get_trending_repositories(start_search_date, number_of_results=20):\n g... | [
3,
4,
5,
6
] |
<|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|>
<|reserved_special_token_0|>
def checkLand(self, grid... | flexible | {
"blob_id": "cddd5deba0ddc59a604d2926bdc687716e08f226",
"index": 1557,
"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 <mask token>\n\n def checkLand(self, grid, x, y):\n print(f... | [
1,
2,
3,
4,
5
] |
#inject shellcode
from pwn import *
shellcode =p32(0x8049000+0x4)\
+asm("mov eax,SYS_execve")\
+asm("xor ecx,ecx")\
+asm("xor edx,edx")\
+asm("mov ebx,0x8049014")\
+asm("int 0x80")\
+"/bin/sh"
r=process("./stack0",aslr=True)
r.sendline('A'*(0x4c)+p32(0x8049000-0x4)+p32(0x804840c)+p32(0x8049000))
r.sendline(shellcode)... | normal | {
"blob_id": "cf70d6064fd4a43bc17cd852aaf04afade73d995",
"index": 9252,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nr.sendline('A' * 76 + p32(134516736 - 4) + p32(134513676) + p32(134516736))\nr.sendline(shellcode)\nr.interactive()\n",
"step-3": "<mask token>\nshellcode = p32(134516736 + 4) + asm('mo... | [
0,
1,
2,
3,
4
] |
from Psql_Database_Setup import *
import requests, json
engine = create_engine('postgresql://myuser:mypass@localhost:5432/mydb')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
session = DBSession()
response = requests.get("https://api.github.com/emojis")
response = json.loads(response.te... | normal | {
"blob_id": "0aa95b6a72472e8e260c07f4c42a327384ca0da4",
"index": 9173,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor key, value in response.items():\n Emoji = Emojis(name=key, url=value)\n session.add(Emoji)\n session.commit()\n",
"step-3": "<mask token>\nengine = create_engine('postgresq... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('%d시간에 %d%s 벌었습니다.' % (1, wage * 1, '달러'))
print('%d시간에 %d%s 벌었습니다.' % (5, wage * 5, '달러'))
print('%d시간에 %.1f%s 벌었습니다' % (1, 5710.8, '원'))
print('%d시간에 %.1f%s 벌었습니다' % (5, 28554.0, '원'))
<|reserved_special_token_1|>
wage ... | flexible | {
"blob_id": "2092ead8b8f268a22711b8af8052241c1ac00c15",
"index": 14,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('%d시간에 %d%s 벌었습니다.' % (1, wage * 1, '달러'))\nprint('%d시간에 %d%s 벌었습니다.' % (5, wage * 5, '달러'))\nprint('%d시간에 %.1f%s 벌었습니다' % (1, 5710.8, '원'))\nprint('%d시간에 %.1f%s 벌었습니다' % (5, 28554.0,... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class CheckoutConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CheckoutConfig(AppConfig):
<|reserved_special_token_0|>
def ready(self):
import checkout.signals
<|res... | flexible | {
"blob_id": "74e3f4cd7b09d9b96feb3f927a509b113481eaed",
"index": 7575,
"step-1": "<mask token>\n\n\nclass CheckoutConfig(AppConfig):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CheckoutConfig(AppConfig):\n <mask token>\n\n def ready(self):\n import checkout.signals\n... | [
1,
2,
3,
4,
5
] |
from day6input import *
groups = input.split('\n\n')
count = 0 #1
groupanswers = [] #2
for group in groups:
allananswers = set(list('abcdefghijklmnopqrstuvwxyz')) #2
answers = set() #1
people = group.split('\n')
for person in people:
allananswers = allananswers & set(list(person)) #2
... | normal | {
"blob_id": "8f1ec65ca60605747f46f596e0b5848922bcd0b5",
"index": 2127,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor group in groups:\n allananswers = set(list('abcdefghijklmnopqrstuvwxyz'))\n answers = set()\n people = group.split('\\n')\n for person in people:\n allananswers = a... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def build_response(session_attributes, speechlet_response):
return {'version': '1.0', 'sessionAttributes': session_attributes,
'response': speechlet_response}
def get_welcome_response():
""" If we wanted to initialize the session to have some attributes we could
add ... | flexible | {
"blob_id": "a5ef2adbf85b5ab80c59697340f94bc57d60952e",
"index": 4463,
"step-1": "<mask token>\n\n\ndef build_response(session_attributes, speechlet_response):\n return {'version': '1.0', 'sessionAttributes': session_attributes,\n 'response': speechlet_response}\n\n\ndef get_welcome_response():\n \"... | [
9,
10,
12,
13,
14
] |
import pytest
import os
import pandas as pd
import numpy as np
import math
import scipy
from scipy import stats
from sklearn import metrics, linear_model
from gpmodel import gpkernel
from gpmodel import gpmodel
from gpmodel import gpmean
from gpmodel import chimera_tools
n = 200
d = 10
X = np.random.random(size=(n, ... | normal | {
"blob_id": "62c28b5eb31b90191dfbab4456fc5373ba51bf64",
"index": 8869,
"step-1": "<mask token>\n\n\ndef test_normalize():\n model = gpmodel.GPRegressor(kernel)\n m, s, normed = model._normalize(Y)\n assert np.isclose(m, Y.mean())\n assert np.isclose(s, Y.std())\n assert np.allclose(normed, (Y - m)... | [
6,
7,
8,
9,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def check_string(automaton, word):
inicial = automata['s'].closure
for i in word:
inicial = state_list_delta(inicial, i)
return automaton['f'] in inicial
<|reserved_special_token_0|>
<|reserved_special_to... | flexible | {
"blob_id": "9cf0174a8bd2bccbd8e5d0be1f0b031a1a23c9df",
"index": 4691,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef check_string(automaton, word):\n inicial = automata['s'].closure\n for i in word:\n inicial = state_list_delta(inicial, i)\n return automaton['f'] in inicial\n\n\n... | [
0,
1,
2,
3,
4
] |
PRECISAO = 3
MAX_ITER = 20
def gauss_jacobi(entrada,*valores_iniciais):
tamanho = len(entrada[0])
variaveis = [*valores_iniciais[:tamanho]]
variaveism1 = [None] * (tamanho-1)
for _ in range(0,MAX_ITER):
print(variaveis)
for linha in range(tamanho-1):
soma = 0
for coluna in range(... | normal | {
"blob_id": "842f8b4de0378a2c83d22f3fd54ba4857d249597",
"index": 9323,
"step-1": "<mask token>\n\n\ndef gauss_jacobi(entrada, *valores_iniciais):\n tamanho = len(entrada[0])\n variaveis = [*valores_iniciais[:tamanho]]\n variaveism1 = [None] * (tamanho - 1)\n for _ in range(0, MAX_ITER):\n prin... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 15 06:50:48 2018
@author: Tony
"""
import glob
import pandas as pd
path =r'C:\Users\Tony\Downloads\daily_dataset\daily_dataset' # use your path
frame = pd.DataFrame()
list_ = []
def aggSumFn(path,grpByCol):
allFiles = glob.glob(path + "/*.csv")
... | normal | {
"blob_id": "252d6b381af09dbafb1d10c188eb154e53213033",
"index": 8845,
"step-1": "<mask token>\n\n\ndef aggSumFn(path, grpByCol):\n allFiles = glob.glob(path + '/*.csv')\n for file_ in allFiles:\n df = pd.read_csv(file_, index_col=None, header=0)\n list_.append(df)\n frame = pd.concat(list... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
readFiles.extend([
'/store/mc/Summer12_DR53X/TTH_Inclusive_M-115_8TeV_pythia6/AODSIM/PU_S10_START53_V7A-v1/00000/FE26AAB2-D90B-E211-AD0F-0025902009B8.root'
,
'/store/mc/Summer12_DR53X/TTH_Inclusive_M-115_8TeV_pythia6/A... | flexible | {
"blob_id": "965bb4c8e7d6650dab7f002645dceacab59a0c5c",
"index": 7298,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nreadFiles.extend([\n '/store/mc/Summer12_DR53X/TTH_Inclusive_M-115_8TeV_pythia6/AODSIM/PU_S10_START53_V7A-v1/00000/FE26AAB2-D90B-E211-AD0F-0025902009B8.root'\n ,\n '/store/mc/Sum... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def find_color(img, color_value, myColors):
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
count = 0
new_points = []
for color in myColors:
lower = np.array(color[0:3])
upper = np.array(color[3:6])
mask = cv2.inRange(hsv, lower, upper)
x, y = co... | flexible | {
"blob_id": "836c1d2083d18c68fe551278d2df4155edc64c8c",
"index": 5298,
"step-1": "<mask token>\n\n\ndef find_color(img, color_value, myColors):\n hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)\n count = 0\n new_points = []\n for color in myColors:\n lower = np.array(color[0:3])\n upper = np... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class BaseTenderCriteriaRGRequirementResource(APIResource):
<|reserved_special_token_0|>
@json_view(permission='view_tender')
def collection_get(self):
return {'data': [i.serialize('view') for i in self.request.context.
requirements]}
<|reserved_specia... | flexible | {
"blob_id": "6194079dd506553b4e5b66f1fb92bb8642704b59",
"index": 6893,
"step-1": "<mask token>\n\n\nclass BaseTenderCriteriaRGRequirementResource(APIResource):\n <mask token>\n\n @json_view(permission='view_tender')\n def collection_get(self):\n return {'data': [i.serialize('view') for i in self.... | [
4,
5,
6,
7,
8
] |
class Node:
def __init__(self,data):
self.data = data
self.next = None
self.prev = None
class dequeue:
def __init__(self):
self.front = None
self.last = None
self.count = 0
def add_front(self, data):
new_nodef = Node(data)
if(self.front ==... | normal | {
"blob_id": "2f6e0b6a7e14ac9c5a38db6fd2b1cf23cff7144e",
"index": 172,
"step-1": "<mask token>\n\n\nclass dequeue:\n\n def __init__(self):\n self.front = None\n self.last = None\n self.count = 0\n\n def add_front(self, data):\n new_nodef = Node(data)\n if self.front == Non... | [
8,
10,
12,
13,
15
] |
#!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import Joy
import serial
from sys import platform
if platform == "linux" or platform == "linux2":
ser = serial.Serial('/dev/ttyACM0')
elif platform == "darwin":
pass
elif platform == "win32":
# Windows...
ser = ... | normal | {
"blob_id": "14a357f3dfb3d59f1d8cfd566edeaf8b0e5bb56d",
"index": 374,
"step-1": "<mask token>\n\n\ndef callback(data):\n global first_a\n global first_d\n global oldvar\n global base_throttle\n global peak_throttle\n global base_brake\n global peak_brake\n global button\n axis1 = -data... | [
2,
3,
4,
5,
6
] |
# coding=utf-8
"""
author = jamon
""" | normal | {
"blob_id": "00790b9d2648d19a37d1d1864e7fdeab0f59f764",
"index": 4266,
"step-1": "<mask token>\n",
"step-2": "# coding=utf-8\n\"\"\"\nauthor = jamon\n\"\"\"",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import os
import math
from collections import defaultdict
__author__ = 'steven'
question='qb'
fs={'t1','small.in','large'}
def getmincost(n,c,f,x):
t=0.0
for i in range(0,n):
t+=1/(2+f*i)
t=t*c
t+=x/(2+f*n)
ct=getmincostnshift(n,c,f,x)
return min(t,ct);
def getmincostnshift(n,c,f,x):
... | normal | {
"blob_id": "8fee548466abf6d35ea180f8de4e52a9b8902d3f",
"index": 1025,
"step-1": "import os\nimport math\nfrom collections import defaultdict\n__author__ = 'steven'\n\nquestion='qb'\nfs={'t1','small.in','large'}\ndef getmincost(n,c,f,x):\n t=0.0\n\n for i in range(0,n):\n t+=1/(2+f*i)\n t=t*c\n ... | [
0
] |
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from .models import Post
from django.shortcuts import redirect
from django.core.exceptions import ObjectDoesNotExist
def index(request):
blogs = Post.objects.filter(status=... | normal | {
"blob_id": "aec374ffa368755350d0d75c96860f760e8524e1",
"index": 7301,
"step-1": "<mask token>\n\n\ndef index(request):\n blogs = Post.objects.filter(status=1).order_by('-created_on')[:10]\n context = {'Post': blogs}\n return render(request, 'blogapp/index.html', context)\n\n\ndef blogs(request):\n r... | [
6,
7,
8,
9,
10
] |
# -*- coding: utf-8 -*-
from .log_config import LogBase
import os
__all__ = ['MyLog']
class MyLog(LogBase):
"""
功能:
将日志分日志等级记录,并自动压缩2019-11-11.info.log.gz
参数:
:param dir_path: 日志记录的路径,默认是当前路径下的log文件夹
:param logger_name: logger对象的名字
:param info_name: 保存inf... | normal | {
"blob_id": "3a9987ac326131878b80cb819e3d06ce2f4cb054",
"index": 8461,
"step-1": "<mask token>\n\n\nclass MyLog(LogBase):\n <mask token>\n <mask token>\n\n def get_logger(self):\n return self._get_logger()\n\n @staticmethod\n def type_need(parm, type_):\n if not isinstance(parm, type... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
def redirect(url, status=None):
"""Raise a redirect to the specified address.
"""
raise cherrypy.HTTPRedirect(url, status)
def require_method(*allowed_methods):
allowed_methods = list(allowed_methods)
if 'GET' in allowed_methods:
if 'HEAD' not in allowed_met... | flexible | {
"blob_id": "dc28d8aa17347f07041ae218bbe4e1b0add27c24",
"index": 5669,
"step-1": "<mask token>\n\n\ndef redirect(url, status=None):\n \"\"\"Raise a redirect to the specified address.\n\n \"\"\"\n raise cherrypy.HTTPRedirect(url, status)\n\n\ndef require_method(*allowed_methods):\n allowed_methods = l... | [
11,
13,
16,
19,
20
] |
<|reserved_special_token_0|>
def upgrade():
bind = op.get_bind()
urls = bind.execute(
'SELECT p.id as pid, r.id as rid, r.uri as uri FROM oauth2_identity_provider p JOIN resource r ON p.api_resource_id = r.id'
)
op.add_column('oauth2_identity_provider', sa.Column('uri', sa.String(),
... | flexible | {
"blob_id": "c185a88332e39c561649f087f01fd3b704e7010b",
"index": 1959,
"step-1": "<mask token>\n\n\ndef upgrade():\n bind = op.get_bind()\n urls = bind.execute(\n 'SELECT p.id as pid, r.id as rid, r.uri as uri FROM oauth2_identity_provider p JOIN resource r ON p.api_resource_id = r.id'\n )\n ... | [
1,
2,
3,
4,
5
] |
# python imports
import re
# django imports
from django.core.management.base import BaseCommand
# module level imports
from utils.spells import SPELLS
from spells.models import Spell
SPELL_SCHOOL = {
'Abjuration': 'Abjuration',
'Conjuration': 'Conjuration',
'Divination': 'Divination',
... | normal | {
"blob_id": "010f78d952657b3d7c11fbf8e46912d0294f6cc1",
"index": 9103,
"step-1": "<mask token>\n\n\nclass Command(BaseCommand):\n <mask token>\n help = (\n 'Will auto populate the database with all the Spells from 5th Edition Dungeons and Dragons.'\n )\n\n def handle(self, *args, **kwargs)... | [
3,
4,
5,
6,
7
] |
__author__ = 'susperius'
"""
Abstract class used to implement own fuzzers
"""
class Fuzzer:
NAME = []
CONFIG_PARAMS = []
@classmethod
def from_list(cls, params):
raise NotImplementedError("ABSTRACT METHOD")
@property
def prng_state(self):
raise NotImplementedError("ABSTRACT M... | normal | {
"blob_id": "aa2a268143856d8f33b1aaf24f4e28ffd95cab01",
"index": 4658,
"step-1": "<mask token>\n\n\nclass Fuzzer:\n <mask token>\n <mask token>\n\n @classmethod\n def from_list(cls, params):\n raise NotImplementedError('ABSTRACT METHOD')\n\n @property\n def prng_state(self):\n rai... | [
7,
8,
9,
10,
11
] |
# Generated by Django 2.1.3 on 2019-01-06 06:53
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | normal | {
"blob_id": "a91d42764fa14111afca4551edd6c889903ed9bd",
"index": 8056,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
import Adafruit_GPIO.SPI as SPI
import Adafruit_SSD1306
# Raspberry Pi pin configuration:
RST = 24
# Note the following are only used with SPI:
DC = 23
SPI_PORT = 0
SPI_DEVICE = 0
# Beaglebone Black pin configuration:
# RST = 'P9_12'
# Note the following are only used with SPI:
# DC = 'P9_15'
# SPI_PORT = 1
# SPI_DEV... | normal | {
"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
] |
<|reserved_special_token_0|>
class BoardTests(unittest.TestCase):
def test_get_neighbours(self):
board = create_test_board(3)
self.assertListEqual(board.get_neighbour_states(1, 0), [None, None,
ALIVE, ALIVE, DEAD, ALIVE, DEAD, None])
def test_simple_update(self):
alive_ce... | flexible | {
"blob_id": "f644ff322d1268092dbdcbfc1a3c76006424184b",
"index": 1482,
"step-1": "<mask token>\n\n\nclass BoardTests(unittest.TestCase):\n\n def test_get_neighbours(self):\n board = create_test_board(3)\n self.assertListEqual(board.get_neighbour_states(1, 0), [None, None,\n ALIVE, ALI... | [
10,
11,
14,
15,
16
] |
import dnf_converter
def parse(query):
print("parsing the query...")
query = dnf_converter.convert(query)
cp_clause_list = []
clause_list = []
for cp in query["$or"]:
clauses = []
if "$and" in cp:
for clause in cp["$and"]:
clauses.append(clause)
clause_list.append(clause)
else:
clause = cp
... | normal | {
"blob_id": "999de0965efa3c1fe021142a105dcf28184cd5ba",
"index": 43,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse(query):\n print('parsing the query...')\n query = dnf_converter.convert(query)\n cp_clause_list = []\n clause_list = []\n for cp in query['$or']:\n claus... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def change(self, amount: int, coins: List[int]) ->int:
coins = sorted(coins, reverse=True)
@lru_cache(None)
... | flexible | {
"blob_id": "332c530d221c9441d6ff3646f8e9226dc78067f9",
"index": 2902,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n\n def change(self, amount: int, coins: List[int]) ->int:\n coins = sorted(coins, reverse=True)\n\n... | [
1,
2,
4,
5,
6
] |
<|reserved_special_token_0|>
def save_pool():
for i in range(total_models):
current_pool[i].save_weights(save_location + str(i) + '.keras')
print('Pool saved')
def create_model():
"""
Create Neural Network as a keras model
"""
model = Sequential()
model.add(Dense(12, input_dim=8,... | flexible | {
"blob_id": "fc1b9ab1fb1ae71d70b3bf5c879a5f604ddef997",
"index": 9969,
"step-1": "<mask token>\n\n\ndef save_pool():\n for i in range(total_models):\n current_pool[i].save_weights(save_location + str(i) + '.keras')\n print('Pool saved')\n\n\ndef create_model():\n \"\"\"\n Create Neural Network... | [
13,
15,
16,
20,
21
] |
# Generated by Django 3.2.3 on 2021-06-01 07:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('info', '0002_auto_20210531_1958'),
]
operations = [
migrations.AddField(
model_name='well',
name='well_status',
... | normal | {
"blob_id": "a3239bbe4f85c9f0e1bc845245f024c3feb64923",
"index": 7476,
"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 = [('info', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def lucas():
yield 2
a = 2
b = 1
while True:
yield b
a, b = b, a + b
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def lucas():
yield 2
a = 2
b = 1
while True:
yield b
a, b = b, ... | flexible | {
"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 print_duplicates(arr):
uniques = set()
for elem in arr:
if elem in uniques:
print(elem, end=' ')
else:
uniques.add(elem)
| normal | {
"blob_id": "420c3944de0a5436a9824604fd6caf27706eb99c",
"index": 4102,
"step-1": "<mask token>\n",
"step-2": "def print_duplicates(arr):\n uniques = set()\n for elem in arr:\n if elem in uniques:\n print(elem, end=' ')\n else:\n uniques.add(elem)\n",
"step-3": null,
... | [
0,
1
] |
import os, datetime
import urllib
from flask import (Flask, flash, json, jsonify, redirect, render_template,
request, session, url_for)
import util.database as db
template_path=os.path.dirname(__file__)+"/templates"
file=""
if template_path!="/templates":
app = Flask("__main__",tem... | normal | {
"blob_id": "5c20eefe8111d44a36e69b873a71377ee7bfa23d",
"index": 6768,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef home():\n if 'username' in session:\n id_num = db.search_user_list(session['username'], is_usrname=True)[0][2\n ]\n finavail = db.search_finance_list(id_num)\n ... | [
14,
15,
16,
18,
19
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from flask import Flask, request, jsonify
from app import Node
from dbm2 import filemanager
fm = filemanager()
node = Node(fm)
app = Flask(__name__)
@app.route("/transactions/isfull",methods=['GET'])
def isFull():
return jsonify(node.isFull()), 200
@app.route("/tra... | normal | {
"blob_id": "45b46a08d8b304ac12baf34e0916b249b560418f",
"index": 7459,
"step-1": "<mask token>\n\n\n@app.route('/transactions/isfull', methods=['GET'])\ndef isFull():\n return jsonify(node.isFull()), 200\n\n\n@app.route('/transactions/new', methods=['POST'])\ndef newTransaction():\n transaction = request.g... | [
8,
11,
12,
13,
14
] |
# Generated by Django 2.2.1 on 2019-06-01 09:56
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Participant',
fields=[
('username', models.... | normal | {
"blob_id": "58b12418a2a6b1ef9b63800b89e7f0b9fffd908c",
"index": 9223,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def gprimo(nmax):
for x in range(1, nmax):
for i in range(2, x):
if x % i != 0:
continue
else:
break
else:
yield x
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_toke... | flexible | {
"blob_id": "732886306d949c4059b08e1bc46de3ad95ba56cb",
"index": 1685,
"step-1": "<mask token>\n\n\ndef gprimo(nmax):\n for x in range(1, nmax):\n for i in range(2, x):\n if x % i != 0:\n continue\n else:\n break\n else:\n yield x\n\... | [
1,
2,
3,
4,
5
] |
from app import config
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
engine = create_engine(config.DB_URI)
Session = scoped_session(sessionmaker(bind=engine))
| normal | {
"blob_id": "86c1aee21639958f707f99bc2468e952ad6c1859",
"index": 9352,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nengine = create_engine(config.DB_URI)\nSession = scoped_session(sessionmaker(bind=engine))\n",
"step-3": "from app import config\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.o... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def get_pos_name(code, name='parent', english=True, pos_tags=POS_MAP):
"""Gets the part of speech name for *code*.
:param str code: The part of speech code to lookup, e.g. ``'nsf'``.
:param str name: Which part of speech name to include in the output. Must
be one of `... | flexible | {
"blob_id": "093b2afef7cdfb7070eb5e94e84624afe495db66",
"index": 1948,
"step-1": "<mask token>\n\n\ndef get_pos_name(code, name='parent', english=True, pos_tags=POS_MAP):\n \"\"\"Gets the part of speech name for *code*.\n\n :param str code: The part of speech code to lookup, e.g. ``'nsf'``.\n :param str... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def getNextFile(files):
return random.choice(files)
<|reserved_special_token_0|>
def getRandomFile(folder='test/'):
files = listFiles(folder)
filename = getNextFile(files)
return filename
def play(filename):
f = wave.open(filename, 'rb')
p = pyaudio.PyAudio()... | flexible | {
"blob_id": "a3bcd383656284a2236e79b5d5d7acdfe433a13b",
"index": 8409,
"step-1": "<mask token>\n\n\ndef getNextFile(files):\n return random.choice(files)\n\n\n<mask token>\n\n\ndef getRandomFile(folder='test/'):\n files = listFiles(folder)\n filename = getNextFile(files)\n return filename\n\n\ndef pl... | [
3,
4,
5,
6,
7
] |
from eth_account.account import Account
from nucypher.characters.lawful import Alice, Bob, Ursula
from nucypher.network.middleware import RestMiddleware
from nucypher.data_sources import DataSource
from umbral.keys import UmbralPublicKey
import sys
import os
import binascii
import shutil
import maya
import datetime
te... | normal | {
"blob_id": "bc843abecfc076c9413498f9ebba0da0857ad3cc",
"index": 4103,
"step-1": "<mask token>\n\n\nclass Author(object):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Book(object):\n\n def __init__(self, author):\n self.author = author\n self.content = b'PlainText of the book... | [
14,
19,
20,
22,
23
] |
"""
Question 39:
Define a function which can generate a list where the values are square of numbers between 1 and
20 (both included). Then the function needs to print the last 5 elements in the list.
"""
#To get a value from console input.
input_num = input("Write number:")
lis1=[]
lis2=[]
def lis(n1,n2):
"""
Gener... | normal | {
"blob_id": "24c1f5195bad17f995fb97a03218fc9bbe5ce4cd",
"index": 2476,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef lis(n1, n2):\n \"\"\"\n\tGenerate and print last 5 element in list.\n\tparam:n1,n2\n\t\"\"\"\n i = 0\n if n1 and n2 <= 20:\n for x in range(n1, n2 + 1):\n ... | [
0,
1,
2,
3,
4
] |
def assert_shapes(shape, other):
assert len(shape) == len(other), "Dimensions are different"
for s, o in zip(shape, other):
if s is not None and o is not None:
assert s == o, "Shapes {} and {} are not equal".format(shape, other)
| normal | {
"blob_id": "337311c3fbb6a8baab7a237d08152f0db9822527",
"index": 2931,
"step-1": "<mask token>\n",
"step-2": "def assert_shapes(shape, other):\n assert len(shape) == len(other), 'Dimensions are different'\n for s, o in zip(shape, other):\n if s is not None and o is not None:\n assert s ... | [
0,
1,
2
] |
from .__init__ import *
def surfaceAreaCone(maxRadius=20, maxHeight=50, unit='m'):
a = random.randint(1, maxHeight)
b = random.randint(1, maxRadius)
slopingHeight = math.sqrt(a**2 + b**2)
problem = f"Surface area of cone with height = {a}{unit} and radius = {b}{unit} is"
ans = int(math.pi * b * s... | normal | {
"blob_id": "3e19ede2112a109a776b607e927e2f0a095ba5cc",
"index": 7677,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef surfaceAreaCone(maxRadius=20, maxHeight=50, unit='m'):\n a = random.randint(1, maxHeight)\n b = random.randint(1, maxRadius)\n slopingHeight = math.sqrt(a ** 2 + b ** 2)\... | [
0,
1,
2,
3,
4
] |
from . import views
from django.conf.urls import url,re_path
enquiryUrlPattern = [
url(r'daily-rate-enquiry', views.daily_rate_enquiry_form),
re_path(r'^contact-us-landing-page/$', views.contact_us_landing_page),
]
| normal | {
"blob_id": "ccf1710cff972eaa06e1ccb5ebedc70d946e3215",
"index": 4906,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nenquiryUrlPattern = [url('daily-rate-enquiry', views.\n daily_rate_enquiry_form), re_path('^contact-us-landing-page/$', views.\n contact_us_landing_page)]\n",
"step-3": "from . im... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class GerberCanvas:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, frame):
self.x_format = ''
self.y_format = ''
self.units... | flexible | {
"blob_id": "6b2f10449909d978ee294a502a376c8091af06e0",
"index": 1285,
"step-1": "<mask token>\n\n\nclass GerberCanvas:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, frame):\n self.x_format = ''\n self.y_format = ''\n self... | [
18,
19,
20,
23,
25
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class InterpFrontExtractor(FrontExtractorOp):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@classmethod
def extract(cls, node):
proto_layer = node.pb
param = proto_layer.interp_param... | flexible | {
"blob_id": "ce28462621a423c6661c672cf92d7e9c91875cfa",
"index": 8247,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass InterpFrontExtractor(FrontExtractorOp):\n <mask token>\n <mask token>\n\n @classmethod\n def extract(cls, node):\n proto_layer = node.pb\n param = prot... | [
0,
2,
3,
4,
5
] |
##Arithmatic Progression
a = int(input ('Enter first number: '))
d = int(input('Enter common difference: '))
n = int(input('Number of term: '))
tn = a
while tn <= a + (n - 1) * d:
print(tn, end=" ")
tn += d
| normal | {
"blob_id": "e748261d1e5fd7921a022afefe5a5bea1fbfc67c",
"index": 9095,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile tn <= a + (n - 1) * d:\n print(tn, end=' ')\n tn += d\n",
"step-3": "a = int(input('Enter first number: '))\nd = int(input('Enter common difference: '))\nn = int(input('Numb... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
arrayMapPath = 'C:\\Python27\\Lib\\site-packages\\ticketpitcher\\data'
tempPath = 'd:\\temp\\'
<|reserved_special_token_1|>
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 14 22:09:56 2014
@author: duhan
"""
#arrayMapPath = r'/... | flexible | {
"blob_id": "9627e8a468d3a75787c5a9e01856913fc8beb3c4",
"index": 1868,
"step-1": "<mask token>\n",
"step-2": "<mask token>\narrayMapPath = 'C:\\\\Python27\\\\Lib\\\\site-packages\\\\ticketpitcher\\\\data'\ntempPath = 'd:\\\\temp\\\\'\n",
"step-3": "# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Nov 14 22:09... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Model(nn.Module):
<|reserved_special_token_0|>
def forward(self, input_seq, target_seq=None):
input_seq = self.fc_embedding(input_seq.unsqueeze(-1))
_, encoding_result = self.encoder(input_seq)
encoding_result = torch.transpose(encoding_result, 0, 1)... | flexible | {
"blob_id": "188f82b0fb04d6814d77617fa9148113d0e6ef01",
"index": 2170,
"step-1": "<mask token>\n\n\nclass Model(nn.Module):\n <mask token>\n\n def forward(self, input_seq, target_seq=None):\n input_seq = self.fc_embedding(input_seq.unsqueeze(-1))\n _, encoding_result = self.encoder(input_seq)... | [
4,
5,
6,
7,
8
] |
from django.conf.urls import url
from .views import LoginView, logout_user, delete_user
from .views import NewUserView
urlpatterns = [
url(r'newuser/', NewUserView.as_view(), name='newuser'),
url(r'login/', LoginView.as_view(), name='login'),
url(r'logout/', logout_user, name='logout'),
url(r'delete/$'... | normal | {
"blob_id": "9b4bc7f8f9c96f503a5ed79827430963e21718c4",
"index": 3733,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('newuser/', NewUserView.as_view(), name='newuser'), url(\n 'login/', LoginView.as_view(), name='login'), url('logout/',\n logout_user, name='logout'), url('delete... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def scheduleMultipoint(driver):
driver.find_element_by_id('com.dentist.android:id/calendarBt').click()
driver.find_element_by_id('com.dentist.android:id/addIb').click()
def time(driver):
driver.find_element_by_id('com.dentist.android:id/cureHourLl').click()
driver.find_e... | flexible | {
"blob_id": "02bc97b963b970993fc947cfa41c73230dd4d9e4",
"index": 2649,
"step-1": "<mask token>\n\n\ndef scheduleMultipoint(driver):\n driver.find_element_by_id('com.dentist.android:id/calendarBt').click()\n driver.find_element_by_id('com.dentist.android:id/addIb').click()\n\n\ndef time(driver):\n driver... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def mergeTwoLists(self, l1: ListNode, l2: ListNode) ->ListNode:
ret = itr = ListNode(-sys.maxsize)
while l1 and l2:
v1 = l1.val
... | flexible | {
"blob_id": "2730b2a1016f306936dcac3c3b44a3fd7194bac6",
"index": 7216,
"step-1": "<mask token>\n\n\nclass ListNode:\n\n def __init__(self, val=0, next=None):\n self.val = val\n self.next = next\n\n\nclass Solution:\n\n def mergeTwoLists(self, l1: ListNode, l2: ListNode) ->ListNode:\n r... | [
4,
6,
7,
8,
9
] |
from django.contrib.auth.models import User
from django.test import Client
from django.utils.timezone import localdate
from pytest import fixture
from operations.models import ToDoList
@fixture
def user(db):
return User.objects.create(
username='test', email='saidazimovaziza@gmail.com',
password=... | normal | {
"blob_id": "347d468f15dee8a8219d201251cedffe21352f7c",
"index": 8813,
"step-1": "<mask token>\n\n\n@fixture\ndef authenticated_author_client(user, client: Client) ->Client:\n token = Token.objects.get_or_create(user=user)[0].key\n client.defaults['HTTP_AUTHORIZATION'] = f'Token {token}'\n print(client)... | [
1,
2,
3,
4,
5
] |
# This file is part of the printrun suite.
#
# printrun is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# printrun is distributed in ... | normal | {
"blob_id": "3cc473f6bb4b2e1dd806edb8b096a6118fe7056a",
"index": 7202,
"step-1": "<mask token>\n\n\nclass NoViz:\n <mask token>\n <mask token>\n <mask token>\n\n def addfile(self, *a, **kw):\n pass\n\n def addgcode(self, *a, **kw):\n pass\n\n def addgcodehighlight(self, *a, **kw):... | [
9,
10,
11,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def solution(citations):
citations.sort()
for i in range(len(citations)):
if citations[i] >= len(citations) - i:
return len(citations) - i
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def solution(citations):
... | flexible | {
"blob_id": "0b3d6339faf9d66d4e1338599e4784fac0f63d3f",
"index": 5310,
"step-1": "<mask token>\n",
"step-2": "def solution(citations):\n citations.sort()\n for i in range(len(citations)):\n if citations[i] >= len(citations) - i:\n return len(citations) - i\n\n\n<mask token>\n",
"step-... | [
0,
1,
2,
3
] |
import pandas as pd
import pyranges as pr
import numpy as np
import sys
import logging
from methplotlib.utils import file_sniffer
import pysam
class Methylation(object):
def __init__(self, table, data_type, name, called_sites):
self.table = table
self.data_type = data_type
self.name = name... | normal | {
"blob_id": "d654aea3da3e36ccde8a5f4e03798a0dea5aad8a",
"index": 510,
"step-1": "<mask token>\n\n\nclass Methylation(object):\n\n def __init__(self, table, data_type, name, called_sites):\n self.table = table\n self.data_type = data_type\n self.name = name\n self.called_sites = cal... | [
5,
8,
10,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
s3_resource.create_bucket(Bucket=YOUR_BUCKET_NAME,
CreateBucketConfiguration={'LocationConstraint': 'eu-west-1'})
s3_resource.Bucket(first_bucket_name).upload_file(Filename=first_file_name,
Key=first_file_name)
s3_resource... | flexible | {
"blob_id": "44097da54a0bb03ac14196712111a1489a956689",
"index": 5387,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ns3_resource.create_bucket(Bucket=YOUR_BUCKET_NAME,\n CreateBucketConfiguration={'LocationConstraint': 'eu-west-1'})\ns3_resource.Bucket(first_bucket_name).upload_file(Filename=first_fi... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def square_matrix_simple(matrix=[]):
"""This function will compute the square root of all integers in
a matrix. """
new_matrix = []
for index in matrix:
jndex = 0
new_row = []
... | flexible | {
"blob_id": "b090e92fe62d9261c116529ea7f480daf8b3e84e",
"index": 6543,
"step-1": "<mask token>\n",
"step-2": "def square_matrix_simple(matrix=[]):\n \"\"\"This function will compute the square root of all integers in\n a matrix. \"\"\"\n new_matrix = ... | [
0,
1,
2
] |
__author__ = 'tomer'
import sqlite3
from random import randint
import test_data
def init_database(conn):
c = conn.cursor()
c.execute('''CREATE TABLE IF NOT EXISTS catalogs
(id INTEGER PRIMARY KEY AUTOINCREMENT, catalog_name TEXT)''')
c.execute('''CREATE TABLE IF NOT EXISTS products
... | normal | {
"blob_id": "46b1e5adbd956c35820d7d2b17628364388cdcd7",
"index": 3638,
"step-1": "<mask token>\n\n\ndef init_database(conn):\n c = conn.cursor()\n c.execute(\n \"\"\"CREATE TABLE IF NOT EXISTS catalogs\n (id INTEGER PRIMARY KEY AUTOINCREMENT, catalog_name TEXT)\"\"\"\n )\n ... | [
9,
17,
19,
20,
21
] |
import itertools
import numpy as np
import pandas as pd
from scipy.sparse import coo_matrix
def merge_and_split(inputs, labels):
df = inputs.reset_index().merge(labels.reset_index(), on='utterance',
how='inner').set_index('utterance')
return df.feat, df.label
def list_to_sparse(inputs):
"""Conve... | normal | {
"blob_id": "912928cea0f96e601eecfcb6dba695ef26a3c6e2",
"index": 9618,
"step-1": "<mask token>\n\n\nclass BatchGenerator(object):\n\n def __init__(self, data, batch_size=1):\n self.inputs, self.labels = data\n self.batch_size = batch_size\n self.data_length = len(self.inputs)\n sel... | [
5,
6,
7,
8
] |
# aitoff projection
# see:
# https://en.wikipedia.org/wiki/Aitoff_projection
def aitoff_projection(theta, phi):
import numpy as np
# theta, phi in radian
theta = theta - np.pi
cos_phi = np.cos(phi)
denom = np.sqrt(1 + cos_phi * np.cos(theta/2))
x = 180 * cos_phi * np.sin(theta/2) / denom
x =... | normal | {
"blob_id": "0dcf90514543a1ca801e82cd402b3e1002b1f5d0",
"index": 9262,
"step-1": "<mask token>\n",
"step-2": "def aitoff_projection(theta, phi):\n import numpy as np\n theta = theta - np.pi\n cos_phi = np.cos(phi)\n denom = np.sqrt(1 + cos_phi * np.cos(theta / 2))\n x = 180 * cos_phi * np.sin(th... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in a:
for j in b:
for k in c:
if i + k + j == 1000 and i < j < k and j ** 2 + i ** 2 == k ** 2:
print(i)
print(j)
print(k)
break
<|res... | flexible | {
"blob_id": "34947b7ed300f2cbcbf9042fee3902458921d603",
"index": 2912,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in a:\n for j in b:\n for k in c:\n if i + k + j == 1000 and i < j < k and j ** 2 + i ** 2 == k ** 2:\n print(i)\n print(j)\n ... | [
0,
1,
2
] |
import time
from tests.test_base import BaseTest
from pages.campo_de_treinamento_page import CampoDeTreinamentoPage
class TestCadastro(BaseTest):
def test_cadastro_com_sucesso(self):
self.campoDeTreinamento = CampoDeTreinamentoPage(self.driver)
self.campoDeTreinamento.fill_name("Everton")
... | normal | {
"blob_id": "4e50a7a757bacb04dc8f292bdaafb03c86042e6c",
"index": 1633,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestCadastro(BaseTest):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass TestCadastro(BaseTest):\n\n def test_cadastro_com_sucesso(self):\n self.campoDeTrein... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for x in range(1, 5):
for y in range(1, 5):
for z in range(1, 5):
if (x != y) & (x != z) & (y != z):
print(x, y, z)
<|reserved_special_token_1|>
''' 简述：这里有四个数字，分别是：1、2、3、4
提问：能组成多少个互不相同且无... | flexible | {
"blob_id": "caac877bf6c42217ea41f51717f6a704a3a9774b",
"index": 6838,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor x in range(1, 5):\n for y in range(1, 5):\n for z in range(1, 5):\n if (x != y) & (x != z) & (y != z):\n print(x, y, z)\n",
"step-3": "''' 简述：这里有... | [
0,
1,
2
] |
from __future__ import annotations
import math
from abc import abstractmethod
from pytown_core.patterns.behavioral import Command
from pytown_core.serializers import IJSONSerializable
from .buildings import BuildingProcess, BuildingTransaction
from .buildings.factory import BuildingFactory
from .check import (
A... | normal | {
"blob_id": "22b9868063d6c5fc3f8b08a6e725fff40f4a1a03",
"index": 3886,
"step-1": "<mask token>\n\n\nclass BuildCommand(ServerCommand):\n\n def __init__(self, tile: tuple, building_name: str):\n ServerCommand.__init__(self)\n self._tile = tile\n self._building_name = building_name\n <ma... | [
72,
74,
84,
86,
98
] |
<|reserved_special_token_0|>
@app.errorhandler(404)
def not_found(error):
return make_response(jsonify({'error': 'Not found'}), 404)
<|reserved_special_token_0|>
@app.route('/api/{}/reason/apply'.format(VERSION_STRING), methods=['GET',
'POST'])
def reason_apply():
rule_id = request.args.get('id')
... | flexible | {
"blob_id": "49e1dc98ecc2e5c12c6e520721a6c0a7c2665cca",
"index": 3450,
"step-1": "<mask token>\n\n\n@app.errorhandler(404)\ndef not_found(error):\n return make_response(jsonify({'error': 'Not found'}), 404)\n\n\n<mask token>\n\n\n@app.route('/api/{}/reason/apply'.format(VERSION_STRING), methods=['GET',\n '... | [
4,
5,
9,
10,
11
] |
<|reserved_special_token_0|>
def get_center(res_list):
coord = []
for atom in residue:
at = atom.coord
x = at[0]
y = at[1]
z = at[2]
atcord = [x, y, z]
coord.append(atcord)
x = 0
y = 0
z = 0
i = 0
for point in coord:
i = i + 1
... | flexible | {
"blob_id": "8b29c12c294a8614d8be96c312ecffa9d3bcb3f8",
"index": 4575,
"step-1": "<mask token>\n\n\ndef get_center(res_list):\n coord = []\n for atom in residue:\n at = atom.coord\n x = at[0]\n y = at[1]\n z = at[2]\n atcord = [x, y, z]\n coord.append(atcord)\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for k in data:
for key in correlation_dict:
if data[k] in key:
data[k] = correlation_dict[key]
print(data)
<|reserved_special_token_1|>
dict1 = [{'a': 1}, {'a': 2}, {'a': 3}]
a = dict1[1]['a']
correlatio... | flexible | {
"blob_id": "9c05b39a12ab29db99397e62315efddd8cdf1df4",
"index": 456,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor k in data:\n for key in correlation_dict:\n if data[k] in key:\n data[k] = correlation_dict[key]\nprint(data)\n",
"step-3": "dict1 = [{'a': 1}, {'a': 2}, {'a': 3... | [
0,
1,
2,
3
] |
mlt = 1
mlt_sum = 0
num_sum = 0
for i in range(1,101):
mlt = (i ** 2)
mlt_sum += mlt
num_sum += i
print((num_sum ** 2) - mlt_sum)
| normal | {
"blob_id": "6f877dccab8d62e34b105bbd06027cbff936e3aa",
"index": 6885,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(1, 101):\n mlt = i ** 2\n mlt_sum += mlt\n num_sum += i\nprint(num_sum ** 2 - mlt_sum)\n",
"step-3": "mlt = 1\nmlt_sum = 0\nnum_sum = 0\nfor i in range(1, 101):\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class ShopClientProtocol(asyncio.Protocol):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def connection_made(self, transport):
print('ShopClient connection_made is called\n')
self.transport = transport
startbuy = RequestToBuy()
pri... | flexible | {
"blob_id": "a12f9435eb4b090bc73be14ad64fdf43c5caa4d2",
"index": 7471,
"step-1": "<mask token>\n\n\nclass ShopClientProtocol(asyncio.Protocol):\n <mask token>\n <mask token>\n\n def connection_made(self, transport):\n print('ShopClient connection_made is called\\n')\n self.transport = tran... | [
5,
7,
9,
10,
12
] |
#!/usr/bin/env python3
import sys
from pathlib import Path
def print_usage():
sys.stderr.write('''
Find the length of the biggest line in the file.
Usage: ./biggestLine <delimiter> <field number - first element is 0> <file path>
''')
def main():
if len(sys.argv) != 4:
print_usage()
... | normal | {
"blob_id": "c84175edb88f5b9219c22ec717ec30bb530982a2",
"index": 2861,
"step-1": "<mask token>\n\n\ndef print_usage():\n sys.stderr.write(\n \"\"\"\nFind the length of the biggest line in the file.\nUsage: ./biggestLine <delimiter> <field number - first element is 0> <file path>\n \"\"\"\n ... | [
1,
2,
3,
4,
5
] |
prompt = "Enter a message and I will repeat it to you: "
message = " "
while message != 'quit':
message = input(prompt)
if message != 'quit':
print(message)
# using the 'flag' variable
prompt = "Enter a message and I will repeat it to you: "
# active is the variable used in this case as flag
activ... | normal | {
"blob_id": "1a6f84835ec2f5fbbb064aef2cd872c24eb3839d",
"index": 8717,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile message != 'quit':\n message = input(prompt)\n if message != 'quit':\n print(message)\n<mask token>\nwhile active:\n message = input(prompt)\n if message == 'quit... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
source = cms.Source('PoolSource', fileNames=cms.untracked.vstring(
'/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_10_1_Kji.root'
,
'/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mg... | flexible | {
"blob_id": "aaeca18f3771a6032c0fe51b75502f730c888888",
"index": 9383,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsource = cms.Source('PoolSource', fileNames=cms.untracked.vstring(\n '/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_10_1_Kji.root'\n ,\n '/stor... | [
0,
1,
2,
3
] |
# Visit 2.12.3 log file
ScriptVersion = "2.12.3"
if ScriptVersion != Version():
print "This script is for VisIt %s. It may not work with version %s" % (ScriptVersion, Version())
visit.ShowAllWindows()
visit.ShowAllWindows()
visit.OpenDatabase("test.vtk", 0)
# The UpdateDBPluginInfo RPC is not supported in the VisIt... | normal | {
"blob_id": "6d0cfc9d5bbc45bfa356c45a7cdb9f4822b03e0a",
"index": 2983,
"step-1": "# Visit 2.12.3 log file\nScriptVersion = \"2.12.3\"\nif ScriptVersion != Version():\n print \"This script is for VisIt %s. It may not work with version %s\" % (ScriptVersion, Version())\nvisit.ShowAllWindows()\nvisit.ShowAllWind... | [
0
] |
<|reserved_special_token_0|>
class CrawlerDetail:
def __init__(self):
self.proxy = Proxies()
def start_consume(self):
channel = connection.channel()
channel.queue_declare(queue='usual_article')
channel.basic_qos(prefetch_count=1)
channel.basic_consume(self.consume_art... | flexible | {
"blob_id": "cd1d8a73b6958775a212d80b50de74f4b4de18bf",
"index": 6319,
"step-1": "<mask token>\n\n\nclass CrawlerDetail:\n\n def __init__(self):\n self.proxy = Proxies()\n\n def start_consume(self):\n channel = connection.channel()\n channel.queue_declare(queue='usual_article')\n ... | [
4,
5,
6,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for line in sys.stdin:
m = re_entry_begin.match(line)
if m:
if first_line_met:
sys.stdout.write(signature_format.format(date=current_date))
version = m.group('version')
sys.stdout.write(... | flexible | {
"blob_id": "03677f02473019fcc6a40d91569a85be78ca0a87",
"index": 7179,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in sys.stdin:\n m = re_entry_begin.match(line)\n if m:\n if first_line_met:\n sys.stdout.write(signature_format.format(date=current_date))\n versio... | [
0,
1,
2,
3,
4
] |
def bfs(graph, start):
queue = [start]
queued = list()
path = list()
while queue:
print('Queue is: %s' % queue)
vertex = queue.pop(0)
print('Processing %s' % vertex)
for candidate in graph[vertex]:
if candidate not in queued:
queued.append(cand... | normal | {
"blob_id": "7bb49712c4ef482c64f3c2a457a766de691ba7c3",
"index": 9427,
"step-1": "<mask token>\n",
"step-2": "def bfs(graph, start):\n queue = [start]\n queued = list()\n path = list()\n while queue:\n print('Queue is: %s' % queue)\n vertex = queue.pop(0)\n print('Processing %s... | [
0,
1
] |
'''CLASS message_unpacker
Message bodies sent through RabbitMQ may take various forms. They were packed
accordingly by the message_packager.
This class reverses the process. Currently, only implemented for message bodies
represented as strings, but could also handle various image formats in a real use
... | normal | {
"blob_id": "2afc1027c6866e8ab9584a5f7feef4470661f763",
"index": 4246,
"step-1": "<mask token>\n\n\nclass MessageUnpacker:\n <mask token>\n <mask token>\n\n def unpack_json_to_dict(self, incoming_json):\n record_as_dict = json.loads(incoming_json)\n return record_as_dict\n <mask token>\... | [
2,
4,
5,
6,
7
] |
# Copyright 2015 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | normal | {
"blob_id": "445e91edbeb88a3e300761342b28369fd9833fbb",
"index": 5727,
"step-1": "<mask token>\n\n\nclass TestCases(unittest.TestCase):\n\n def test_chart_cell(self):\n t = [{'country': 'US', 'quantity': 100}, {'country': 'ZA',\n 'quantity': 50}]\n IPython.get_ipython().user_ns = {}\n... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(int(first_digit) + int(second_digit))
<|reserved_special_token_1|>
two_digit_number = input('Type a two digit number: ')
first_digit = two_digit_number[0]
second_digit = two_digit_number[1]
print(int(first_digit) + int(se... | flexible | {
"blob_id": "7d65e4e925e90d6b013ae2c059cde58538884d22",
"index": 7239,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(int(first_digit) + int(second_digit))\n",
"step-3": "two_digit_number = input('Type a two digit number: ')\nfirst_digit = two_digit_number[0]\nsecond_digit = two_digit_number[1]\n... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='discord-ext-menus', author='TierGamerpy', url=
'https://github.com/TierGamerpy/discord-ext-menus', version=0.1,
packages=['discord.ext.menus'], description=
'An extension module to make reaction based menus... | flexible | {
"blob_id": "daa287eeb967d47c9a8420beccf531d9c157e925",
"index": 3217,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='discord-ext-menus', author='TierGamerpy', url=\n 'https://github.com/TierGamerpy/discord-ext-menus', version=0.1,\n packages=['discord.ext.menus'], description=\n 'An... | [
0,
1,
2
] |
from django.contrib import admin
# from .models import Usuario
# from .models import Lote
# from .models import Fornecedor
# from .models import Cliente
# from .models import Medicamento
# from .models import Medicamento_Entrada
# from .models import Medicamento_Saida
# Register your models here.
#
# class UsuarioAdmin... | normal | {
"blob_id": "63a2258bf0ed779254b68a683e3d30e9fb356b1f",
"index": 139,
"step-1": "<mask token>\n",
"step-2": "from django.contrib import admin\n",
"step-3": "from django.contrib import admin\n# from .models import Usuario\n# from .models import Lote\n# from .models import Fornecedor\n# from .models import Cli... | [
0,
1,
2
] |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
def test_register_new_accont(self):
cos = self.cos
cos.get("https://wizzair.com/pl-pl#/")
cos.find_elements_by_class_name('navigation__button navigation__button--simple').click()
cos.find_elements_by_class_name('content__lin... | normal | {
"blob_id": "6efd22feb4f96de74633276b1ec8550f8d853075",
"index": 2657,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_register_new_accont(self):\n cos = self.cos\n cos.get('https://wizzair.com/pl-pl#/')\n cos.find_elements_by_class_name(\n 'navigation__button navigation__butt... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if a >= 0:
if c >= 0:
ans = b * d
elif d >= 0:
ans = b * d
else:
ans = a * d
elif b >= 0:
if c >= 0:
ans = b * d
elif d >= 0:
ans = max(b * d, a * c)
else:
an... | flexible | {
"blob_id": "be37a7596850050af58f735e60bdf13594715caf",
"index": 4928,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif a >= 0:\n if c >= 0:\n ans = b * d\n elif d >= 0:\n ans = b * d\n else:\n ans = a * d\nelif b >= 0:\n if c >= 0:\n ans = b * d\n elif d >= 0:... | [
0,
1,
2,
3
] |
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import PowerTransformer
from sklearn.preprocessing import RobustScaler
from sklearn.preprocessing import Normalizer
from sklearn.preprocessing import MinMaxScaler
import pandas as pd
import numpy as np
def preprocess_transformers(y_train, tra... | normal | {
"blob_id": "890d50c741ffd576312c63dc450e274b4517bf12",
"index": 9856,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef preprocess_transformers(y_train, transf):\n if transf != 'ln':\n if transf == 'minmax':\n scaler = MinMaxScaler()\n scaler2 = MinMaxScaler()\n ... | [
0,
2,
3,
4,
5
] |
# OpenWeatherMap API Key
api_key = "078c8443640961d5ce547c8269db5fd7"
| normal | {
"blob_id": "4eb3d94a5fd22fc29000ec32475de9cbae1c183a",
"index": 5255,
"step-1": "<mask token>\n",
"step-2": "api_key = '078c8443640961d5ce547c8269db5fd7'\n",
"step-3": "# OpenWeatherMap API Key\napi_key = \"078c8443640961d5ce547c8269db5fd7\"\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
# coding: utf-8
"""
Created on Mon Oct 29 12:57:40 2018
@authors Jzhu, Lrasmy , Xin128 @ DeguiZhi Lab - UTHealth SBMI
Last updated Feb 20 2020
"""
#general utilities
from __future__ import print_function, division
from tabulate import tabulate
import numpy as np
import random
import matplotlib.pyplot as plt
try:
... | normal | {
"blob_id": "0cef70b8d661fe01ef4a1eda83a21e1186419a0d",
"index": 5038,
"step-1": "<mask token>\n\n\nclass EHRdataFromPickles(Dataset):\n\n def __init__(self, root_dir, file=None, transform=None, sort=True,\n model='RNN', test_ratio=0, valid_ratio=0):\n \"\"\"\n Args:\n 1) root_... | [
15,
16,
17,
18,
19
] |
class Action(dict):
def __init__(self, action, player=None, target=None):
self['action'] = action
self['player'] = player
if target != None:
self['target'] = target
| normal | {
"blob_id": "1c9345923fe83aa0ee7165ce181ce05ac55e2b2f",
"index": 7773,
"step-1": "<mask token>\n",
"step-2": "class Action(dict):\n <mask token>\n",
"step-3": "class Action(dict):\n\n def __init__(self, action, player=None, target=None):\n self['action'] = action\n self['player'] = player... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open(config_path, 'r', encoding='utf-8') as f:
conf = yaml.load(f.read(), Loader=yaml.FullLoader)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
config_path = os.path.join(os.path.dirname(os.path.abspath(__f... | flexible | {
"blob_id": "8834548f6180fc864d73a71194125b22d230a393",
"index": 6882,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(config_path, 'r', encoding='utf-8') as f:\n conf = yaml.load(f.read(), Loader=yaml.FullLoader)\n",
"step-3": "<mask token>\nconfig_path = os.path.join(os.path.dirname(os.pa... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def buddyStrings(self, A: str, B: str) ->bool:
if len(A) != len(B):
return ... | flexible | {
"blob_id": "dd902f99ee8dc23f56641b8e75544a2d4576c19a",
"index": 4437,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def buddyStrings(self, A: str, B: str) ->bool:\n if len(A) != len(B):\n r... | [
0,
1,
2,
3
] |
__author__ = 'Administrator'
# 抓取IP的主要逻辑
from urllib import request
import urllib.parse
import logging
from multiprocessing import pool
from time import sleep
import random
from lxml import etree
def getRandomUserAgnet():
user_agents=[
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Ge... | normal | {
"blob_id": "911631e96d21bdf22a219007f1bdc04a5e6965dc",
"index": 739,
"step-1": "<mask token>\n\n\ndef getRandomUserAgnet():\n user_agents = [\n 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36 QIHU 360S'\n ]\n userAgent = random.ch... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def minDominoRotations(self, A: List[int], B: List[int]) ->int:
if not A or not B:
... | flexible | {
"blob_id": "069d85370d8358aa884b5195a1b52c0014efd161",
"index": 7637,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def minDominoRotations(self, A: List[int], B: List[int]) ->int:\n if not A or not B:... | [
0,
1,
2,
3
] |
import json
import urllib
while True:
# Get input URL
url = raw_input("Enter URL: ")
# Check valid input
if len(url) < 1:
break
# Get data
print("Retrieving", url)
connection = urllib.urlopen(url)
data = connection.read()
print("Retrieved", len(data), "characters")
# P... | normal | {
"blob_id": "4cdd5fc15096aac01ad6d97d38ef7397859de18b",
"index": 5470,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n url = raw_input('Enter URL: ')\n if len(url) < 1:\n break\n print('Retrieving', url)\n connection = urllib.urlopen(url)\n data = connection.read()\n ... | [
0,
1,
2,
3
] |
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