index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
2,900 | 67a76f1f1dad4b7e73359f04ca8f599c8d32dc92 | #encoding:UTF-8
from numpy import *
#----------------------------------------------------------------------
def differences(a, b):
""""""
c = a[a!=b]
d = b[a!=b]
nums = nonzero(a!=b)[0]
return concatenate((mat(nums), c, d)).T | [
"#encoding:UTF-8\n\nfrom numpy import *\n\n#----------------------------------------------------------------------\ndef differences(a, b):\n \"\"\"\"\"\"\n c = a[a!=b]\n d = b[a!=b]\n nums = nonzero(a!=b)[0]\n return concatenate((mat(nums), c, d)).T",
"from numpy import *\n\n\ndef differences(a, b)... | false |
2,901 | d5cb875dc31ca3dd7b165206415c346a076dd6e4 | import db
data = {'python book': ['10.09.2019', 200, 50, False]}
def test_insert_and_get_db(data):
db.insert(data)
result = db.get_db()
return result == data
if __name__ == '__main__':
print(f' Test insert dict in to db, and get dict from db is {test_insert_and_get_db(data)}')
print(... | [
"import db\r\n\r\ndata = {'python book': ['10.09.2019', 200, 50, False]}\r\n\r\ndef test_insert_and_get_db(data):\r\n db.insert(data)\r\n result = db.get_db()\r\n return result == data\r\n\r\n\r\nif __name__ == '__main__':\r\n print(f' Test insert dict in to db, and get dict from db is {test_insert_and_... | false |
2,902 | 332c530d221c9441d6ff3646f8e9226dc78067f9 |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2020 sungminoh <smoh2044@gmail.com>
#
# Distributed under terms of the MIT license.
"""
You are given coins of different denominations and a total amount of money. Write a function to compute the number of combinations that make up that a... | [
"\n#! /usr/bin/env python\n# -*- coding: utf-8 -*-\n# vim:fenc=utf-8\n#\n# Copyright © 2020 sungminoh <smoh2044@gmail.com>\n#\n# Distributed under terms of the MIT license.\n\n\"\"\"\nYou are given coins of different denominations and a total amount of money. Write a function to compute the number of combinations t... | false |
2,903 | 7613dde4f49044fbca13acad2dd75587ef68f477 | import time
import argparse
import utils
from data_loader import DataLoader
from generate_model_predictions import sacrebleu_metric, compute_bleu
import tensorflow as tf
import os
import json
from transformer import create_masks
# Since the target sequences are padded, it is important
# to apply a padding mask when c... | [
"import time\nimport argparse\nimport utils\nfrom data_loader import DataLoader\nfrom generate_model_predictions import sacrebleu_metric, compute_bleu\nimport tensorflow as tf\nimport os\nimport json\nfrom transformer import create_masks\n\n\n# Since the target sequences are padded, it is important\n# to apply a pa... | false |
2,904 | 45cdf33f509e7913f31d2c1d6bfada3a84478736 | # DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER
# Copyright (c) 2018 Juniper Networks, Inc.
# All rights reserved.
# Use is subject to license terms.
#
# Author: cklewar
import os
import threading
import time
from jnpr.junos import Device
from jnpr.junos import exception
from jnpr.junos.utils.config im... | [
"# DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER\n# Copyright (c) 2018 Juniper Networks, Inc.\n# All rights reserved.\n# Use is subject to license terms.\n#\n# Author: cklewar\n\nimport os\nimport threading\nimport time\n\nfrom jnpr.junos import Device\nfrom jnpr.junos import exception\nfrom jnpr.jun... | false |
2,905 | 3d5d88edca5d746b830363cc9451bda94c1d7aa4 | # -*- coding: utf-8 -*-
from plone import api
from plone.dexterity.content import Container
from sc.microsite.interfaces import IMicrosite
from zope.interface import implementer
@implementer(IMicrosite)
class Microsite(Container):
"""A microsite."""
def getLocallyAllowedTypes(self):
"""
By no... | [
"# -*- coding: utf-8 -*-\nfrom plone import api\nfrom plone.dexterity.content import Container\nfrom sc.microsite.interfaces import IMicrosite\nfrom zope.interface import implementer\n\n\n@implementer(IMicrosite)\nclass Microsite(Container):\n \"\"\"A microsite.\"\"\"\n\n def getLocallyAllowedTypes(self):\n ... | false |
2,906 | 33464f19c42d1a192792a73297f4d926df78ab71 | # -*- coding: utf-8 -*-
"""
Created on 11/03/2020
@author: stevenp@valvesoftware.com
"""
import sys
from PyQt5.QtWidgets import (QApplication, QWidget, QLabel, QRadioButton, QVBoxLayout, QCheckBox, QProgressBar,
QGroupBox, QComboBox, QLineEdit, QPushButton, QMessageBox, QInputDialog, QDialog, QDialogButton... | [
"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on 11/03/2020\r\n\r\n@author: stevenp@valvesoftware.com\r\n\"\"\"\r\nimport sys\r\nfrom PyQt5.QtWidgets import (QApplication, QWidget, QLabel, QRadioButton, QVBoxLayout, QCheckBox, QProgressBar,\r\n QGroupBox, QComboBox, QLineEdit, QPushButton, QMessageBox, QInputDia... | false |
2,907 | 6c3f60f05adbebe521ba08d7a7e9fc10b1cc914f | import html
import logging
import re
import pyarabic.araby as araby
ACCEPTED_MODELS = [
"bert-base-arabertv01",
"bert-base-arabert",
"bert-base-arabertv02",
"bert-base-arabertv2",
"bert-large-arabertv02",
"bert-large-arabertv2",
"araelectra-base",
"araelectra-base-discriminator",
"... | [
"import html\nimport logging\nimport re\n\nimport pyarabic.araby as araby\n\nACCEPTED_MODELS = [\n \"bert-base-arabertv01\",\n \"bert-base-arabert\",\n \"bert-base-arabertv02\",\n \"bert-base-arabertv2\",\n \"bert-large-arabertv02\",\n \"bert-large-arabertv2\",\n \"araelectra-base\",\n \"ara... | false |
2,908 | 8baf61a20a64f296304b6a7017a24f1216e3d771 | from django.db import models
from django.contrib.auth.models import User as sUser
TYPES = (
('public', 'public'),
('private', 'private'),
)
#class GroupManager(models.Manager):
# def get_all_users(self):
# return self.extra(where=['users'])
class Group(models.Model):
name = models.CharField(max... | [
"from django.db import models\nfrom django.contrib.auth.models import User as sUser\n\nTYPES = (\n ('public', 'public'),\n ('private', 'private'),\n)\n\n#class GroupManager(models.Manager):\n# def get_all_users(self):\n# return self.extra(where=['users'])\n\nclass Group(models.Model):\n name = mo... | false |
2,909 | 605e088beed05c91b184e26c4a5d2a97cb793759 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 10 11:08:59 2020
@author: rishi
"""
# --------- Global Variables -----------
# Will hold our game board data
board = ["-" for i in range(1,26)]
# Lets us know if the game is over yet
game_still_going = True
# Tells us who the winner is
winner = ... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Jan 10 11:08:59 2020\n\n@author: rishi\n\"\"\"\n\n# --------- Global Variables -----------\n\n# Will hold our game board data\nboard = [\"-\" for i in range(1,26)]\n\n# Lets us know if the game is over yet\ngame_still_going = True\n\n# Tells u... | false |
2,910 | 5cdedce5f984f53b8e26d1580a9040b26023f247 | import shutil
total, used, free = shutil.disk_usage("/")
print("Total: %d MiB" % (total // (2**20)))
print("Used: %d MiB" % (used // (2**20)))
print("Free: %d MiB" % (free // (2**20)))
from Camera import Camera
import time
import cv2
devices = Camera.getDevicesList()
print(devices)
i=0
Cameras = []
for device in... | [
"import shutil\n\ntotal, used, free = shutil.disk_usage(\"/\")\n\nprint(\"Total: %d MiB\" % (total // (2**20)))\nprint(\"Used: %d MiB\" % (used // (2**20)))\nprint(\"Free: %d MiB\" % (free // (2**20)))\n\n\n\nfrom Camera import Camera\nimport time\nimport cv2\n\ndevices = Camera.getDevicesList()\nprint(devices)\n\n... | false |
2,911 | 889d465ceeac57a600b2fa3bd26632edcd90a655 | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import QIcon, QFont
from PyQt5.QtCore import QCoreApplication
import pymysql
import requests
from twisted.internet import reactor, defer
from scrapy.crawler import CrawlerRunner, CrawlerProcess
from scrapy.utils.project import get_project_settings
from spider.... | [
"import sys\nfrom PyQt5.QtWidgets import *\nfrom PyQt5.QtGui import QIcon, QFont\nfrom PyQt5.QtCore import QCoreApplication\n\nimport pymysql\nimport requests\n\nfrom twisted.internet import reactor, defer\nfrom scrapy.crawler import CrawlerRunner, CrawlerProcess\nfrom scrapy.utils.project import get_project_settin... | false |
2,912 | 34947b7ed300f2cbcbf9042fee3902458921d603 | a = list(range(1,501))
b = list(range(1,501))
c = list(range(1,501))
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
| [
"a = list(range(1,501))\nb = list(range(1,501))\nc = list(range(1,501))\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 print(k)\n break\n",
"a = list(range(1, 501))... | false |
2,913 | 6e56c7792d88385cc28c48a7d6dd32b9d6917c64 | # Generated by Django 2.1.7 on 2019-03-24 07:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('adminsite', '0005_auto_20190324_0706'),
]
operations = [
migrations.RenameField(
model_name='district',
old_name='District',... | [
"# Generated by Django 2.1.7 on 2019-03-24 07:08\n\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('adminsite', '0005_auto_20190324_0706'),\n ]\n\n operations = [\n migrations.RenameField(\n model_name='district',\n o... | false |
2,914 | fab3e524edf6783775fabf402f9148bf31ac06d6 | import smtplib
from email.message import EmailMessage
from functools import wraps
from threading import Thread
import flask_login
from flask import flash, current_app
from togger import db
from togger.auth.models import User, Role
from togger.calendar.models import Calendar
def get_user(username):
if username i... | [
"import smtplib\nfrom email.message import EmailMessage\nfrom functools import wraps\nfrom threading import Thread\n\nimport flask_login\nfrom flask import flash, current_app\n\nfrom togger import db\nfrom togger.auth.models import User, Role\nfrom togger.calendar.models import Calendar\n\n\ndef get_user(username):... | false |
2,915 | b7a8e4105f1c1c532eaae27afae14e9a4f2ddfba | # Generated by Django 3.2.3 on 2021-06-19 11:27
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='BillDetail',
... | [
"# Generated by Django 3.2.3 on 2021-06-19 11:27\r\n\r\nimport django.core.validators\r\nfrom django.db import migrations, models\r\n\r\n\r\nclass Migration(migrations.Migration):\r\n\r\n initial = True\r\n\r\n dependencies = [\r\n ]\r\n\r\n operations = [\r\n migrations.CreateModel(\r\n ... | false |
2,916 | 44cbe1face91d3ac7edcd93d0b470bce90c8b674 | # myapp/serializers.py
from rest_framework import serializers
from rest_framework.authtoken.models import Token
from .models import *
# Serializers define the API representation.
class GeneralSerializer(serializers.ModelSerializer):
class Meta:
model = None
fields = '__all__'
class V2OfUsersSeri... | [
"# myapp/serializers.py\nfrom rest_framework import serializers\nfrom rest_framework.authtoken.models import Token\nfrom .models import *\n\n\n# Serializers define the API representation.\nclass GeneralSerializer(serializers.ModelSerializer):\n class Meta:\n model = None\n fields = '__all__'\n\n\nc... | false |
2,917 | 2a37d02c7a0840e855a80adced4794fd757e353a | import ssl
import urllib
from urllib import request, response, error, parse, robotparser
context = ssl._create_unverified_context()
url = 'https://oauth.51job.com/get_login.php?client_id=000001&redirect_uri=https%3A%2F%2Funion.yingjiesheng.com%2Fapi_login.php&from_domain=yjs_web&display=default&state=7c893ec1be7b355a91... | [
"import ssl\nimport urllib\nfrom urllib import request, response, error, parse, robotparser\ncontext = ssl._create_unverified_context()\nurl = 'https://oauth.51job.com/get_login.php?client_id=000001&redirect_uri=https%3A%2F%2Funion.yingjiesheng.com%2Fapi_login.php&from_domain=yjs_web&display=default&state=7c893ec1b... | false |
2,918 | 5433e75bdc46d5a975969e7ece799174dc9b8713 | # # 8/19/2020
# Of course, binary classification is just a single special case. Target encoding could be applied to any target variable type:
# For binary classification usually mean target encoding is used
# For regression mean could be changed to median, quartiles, etc.
# For multi-class classification with N classe... | [
"# # 8/19/2020\n# Of course, binary classification is just a single special case. Target encoding could be applied to any target variable type:\n\n# For binary classification usually mean target encoding is used\n# For regression mean could be changed to median, quartiles, etc.\n# For multi-class classification wit... | false |
2,919 | db159cfb198311b0369f65eb9e10947c4d28c695 | #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... | [
"#finding optimal betting strategy for the blackjack game using Monte Carlo ES method\nimport random\n\nclass Player():\n def __init__(self) -> None:\n q = None\n policy = None\n returns = None\n cards = 0\n dealer = 0\n\n def hit(self):\n self.cards += random.randint... | false |
2,920 | 6a4585e0e2f5ebbd0f9a7fa203f76bb88ff9c2a0 | from django.apps import AppConfig
class ProjectrolesConfig(AppConfig):
name = 'projectroles'
| [
"from django.apps import AppConfig\n\n\nclass ProjectrolesConfig(AppConfig):\n name = 'projectroles'\n",
"<import token>\n\n\nclass ProjectrolesConfig(AppConfig):\n name = 'projectroles'\n",
"<import token>\n\n\nclass ProjectrolesConfig(AppConfig):\n <assignment token>\n",
"<import token>\n<class tok... | false |
2,921 | 50a5d3431693b402c15b557357eaf9a85fc02b0b | # -*- coding: utf-8 -*-
import sys, io,re
import regex
from collections import defaultdict
import datetime
import json
def update_key(data_base, url,kkey):
keys_saved = regex.get_data('<key>\s(.+?)\s<',data_base[url]['key'])
if kkey not in keys_saved:
data_base[url]['key'] = data_base[url... | [
"# -*- coding: utf-8 -*-\r\nimport sys, io,re\r\nimport regex\r\nfrom collections import defaultdict\r\nimport datetime\r\nimport json\r\n\r\n\r\ndef update_key(data_base, url,kkey):\r\n keys_saved = regex.get_data('<key>\\s(.+?)\\s<',data_base[url]['key'])\r\n\r\n if kkey not in keys_saved:\r\n data_b... | false |
2,922 | c6fd848bb3d845a50b928c18a51f296a500e7746 | import socket
def main():
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_address = ('localhost', 8886)
sock.connect(server_address)
data = "TCP"
length = len(data)
ret = bytearray([])
for byte in data.encode("utf-8"):
ret.append(byte)
sock.sendall(ret)
if __na... | [
"import socket\n\ndef main():\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n server_address = ('localhost', 8886)\n sock.connect(server_address)\n\n data = \"TCP\"\n length = len(data)\n ret = bytearray([])\n for byte in data.encode(\"utf-8\"):\n ret.append(byte)\n sock.... | false |
2,923 | ccedca543fc4dee284a9243317d028ffdeac229d | import pandas
import numpy as np
train_set = pandas.read_csv("./dataset/train.csv")
test_set = pandas.read_csv("./dataset/test.csv")
print(train_set)
train_set = train_set.drop('id',axis=1)
print(train_set.describe())
train_set['type'], categories = train_set['type'].factorize()
import matplotlib.pyplot as plt
print... | [
"import pandas\nimport numpy as np\n\ntrain_set = pandas.read_csv(\"./dataset/train.csv\")\ntest_set = pandas.read_csv(\"./dataset/test.csv\")\nprint(train_set)\ntrain_set = train_set.drop('id',axis=1)\nprint(train_set.describe())\n\ntrain_set['type'], categories = train_set['type'].factorize()\n\nimport matplotlib... | false |
2,924 | 03ce69924c885e59e40689dc63e50d54b89649f7 | import _thread
import os
from queue import Queue
from threading import Thread
import random
import io
import vk_api
from vk_api.longpoll import VkLongPoll, VkEventType
from datetime import datetime, timedelta
import time
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
from wordcloud import W... | [
"import _thread\nimport os\nfrom queue import Queue\nfrom threading import Thread\nimport random\nimport io\nimport vk_api\nfrom vk_api.longpoll import VkLongPoll, VkEventType\nfrom datetime import datetime, timedelta\nimport time\nfrom nltk.tokenize import RegexpTokenizer\nfrom nltk.corpus import stopwords\nfrom w... | false |
2,925 | eab45dafd0366af8ab904eb33719b86777ba3d65 | import random
from .action import Action
from ..transition.step import Step
from ..value.estimators import ValueEstimator
def greedy(steps: [Step], actions: [Action], value_estimator: ValueEstimator) -> int:
estimations = [value_estimator(steps, action) for action in actions]
return actions[estimations.index... | [
"import random\n\nfrom .action import Action\nfrom ..transition.step import Step\nfrom ..value.estimators import ValueEstimator\n\n\ndef greedy(steps: [Step], actions: [Action], value_estimator: ValueEstimator) -> int:\n estimations = [value_estimator(steps, action) for action in actions]\n return actions[est... | false |
2,926 | 56157aaf3f98abc58572b45111becb91cb93f328 | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-02-24 11:30
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Create... | [
"# -*- coding: utf-8 -*-\n# Generated by Django 1.11 on 2018-02-24 11:30\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n ... | false |
2,927 | b5581be044013df9ff812f285f99ca67c4f96a62 | import requests
import json
def get():
market = 'Premium'
url = 'https://coinpremiums.herokuapp.com/json'
try:
result = ""
premiums = requests.get(url).json()
for exchange, exchange_currencies in premiums['premium'].items():
result += '[[{} | '.format(exchange.title()... | [
"import requests\nimport json\n\n\ndef get():\n market = 'Premium'\n url = 'https://coinpremiums.herokuapp.com/json'\n\n try:\n result = \"\"\n premiums = requests.get(url).json()\n\n for exchange, exchange_currencies in premiums['premium'].items():\n result += '[[{} | '.for... | false |
2,928 | 6a6a7cc6d4f601f4461488d02e03e832bc7ab634 | """ quiz materials for feature scaling clustering """
# FYI, the most straightforward implementation might
# throw a divide-by-zero error, if the min and max
# values are the same
# but think about this for a second--that means that every
# data point has the same value for that feature!
# why would you rescale it? O... | [
"\"\"\" quiz materials for feature scaling clustering \"\"\"\n\n# FYI, the most straightforward implementation might\n# throw a divide-by-zero error, if the min and max\n# values are the same\n# but think about this for a second--that means that every\n# data point has the same value for that feature!\n# why would ... | true |
2,929 | 8fed95cf809afca7b6008d5abcdcf697367a33c2 | """
Supreme bot????
"""
import os
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
import selenium.webdriver.support.expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.ch... | [
"\"\"\"\nSupreme bot????\n\n\"\"\"\nimport os\nimport time\nfrom selenium import webdriver\nfrom selenium.webdriver.common.by import By\nfrom selenium.webdriver.support.ui import WebDriverWait\nimport selenium.webdriver.support.expected_conditions as EC\nfrom selenium.common.exceptions import TimeoutException\nfrom... | true |
2,930 | 8ebc11f4b9e28254ef40175b26744f2a5ab0c831 | import os
from registration import Registration
from login import Login
def login():
""" redirect to login page"""
login_page = Login()
login_page.login_main_page()
def registration():
"""Register the new user"""
registration_page = Registration()
registration_page.registration_main_page()
... | [
"import os\n\nfrom registration import Registration\nfrom login import Login\n\n\ndef login():\n \"\"\" redirect to login page\"\"\"\n login_page = Login()\n login_page.login_main_page()\n\n\ndef registration():\n \"\"\"Register the new user\"\"\"\n registration_page = Registration()\n registratio... | true |
2,931 | 337311c3fbb6a8baab7a237d08152f0db9822527 |
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)
| [
"\ndef 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 == o, \"Shapes {} and {} are not equal\".format(shape, other)\n",
"def assert_shapes(shape, other):\n ass... | false |
2,932 | bcc24d5f97e46433acb8bcfb08fe582f51eb28ce | class Coms:
def __init__(self, name, addr, coord):
self.name = name
self.addr = addr
self.coord = coord
def getString(self):
return "회사명\n"+self.name+"\n\n주소\n"+self.addr
def getTeleString(self):
return "회사명 : " + self.name + ", 주소 : " + self.addr
class Jobs:
d... | [
"class Coms:\n def __init__(self, name, addr, coord):\n self.name = name\n self.addr = addr\n self.coord = coord\n\n def getString(self):\n return \"회사명\\n\"+self.name+\"\\n\\n주소\\n\"+self.addr\n\n def getTeleString(self):\n return \"회사명 : \" + self.name + \", 주소 : \" + s... | false |
2,933 | 5d654c056e6ef01e72821427c4f8dcb285755ee9 | from .data_processing import make_request_data, clear_request_data, get_token_from_text
from .review import Review | [
"from .data_processing import make_request_data, clear_request_data, get_token_from_text\nfrom .review import Review",
"from .data_processing import make_request_data, clear_request_data, get_token_from_text\nfrom .review import Review\n",
"<import token>\n"
] | false |
2,934 | ec604aea28dfb2909ac9e4b0f15e6b5bbe1c3446 | from email.mime.text import MIMEText
import smtplib
def init_mail(server, user, pwd, port=25):
server = smtplib.SMTP(server, port)
server.starttls()
server.login(user, pwd)
return server
def send_email(mconn, mailto, mailfrom, mailsub, msgbody):
msg = MIMEText(msgbody)
msg['Subject'] = mailsub
msg['To'] = ma... | [
"from email.mime.text import MIMEText\nimport smtplib\n\n\ndef init_mail(server, user, pwd, port=25):\n\tserver = smtplib.SMTP(server, port)\n\tserver.starttls()\n\tserver.login(user, pwd)\n\treturn server\n\n\ndef send_email(mconn, mailto, mailfrom, mailsub, msgbody):\n\tmsg = MIMEText(msgbody)\n\tmsg['Subject'] =... | false |
2,935 | 009be282e45d191eb8f4d7d2986a2f182d64c1dd | from layers import TrueSkillFactorGraph
from math import e, sqrt
from numerics import atLeast, _Vector, _DiagonalMatrix, Matrix
from objects import SkillCalculator, SupportedOptions, argumentNotNone, \
getPartialPlayPercentage, sortByRank
class FactorGraphTrueSkillCalculator(SkillCalculator):
def __init__(self):
s... | [
"from layers import TrueSkillFactorGraph\nfrom math import e, sqrt\nfrom numerics import atLeast, _Vector, _DiagonalMatrix, Matrix\nfrom objects import SkillCalculator, SupportedOptions, argumentNotNone, \\\n\tgetPartialPlayPercentage, sortByRank\n\nclass FactorGraphTrueSkillCalculator(SkillCalculator):\n\tdef __in... | false |
2,936 | 0a5570ef17efa26ef6317930df616c8326f83314 | # Generated by Django 3.0.1 on 2020-02-01 16:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('shopUser', '0024_order_contact'),
]
operations = [
migrations.AddField(
model_name='order',
name='location',
... | [
"# Generated by Django 3.0.1 on 2020-02-01 16:38\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('shopUser', '0024_order_contact'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='order',\n name=... | false |
2,937 | cf4582f4d0c6c94e617270a45425fe0b770142e0 | # coding: utf-8
"""
最简单的计数器，仅仅为了展示基本方式
"""
import tensorflow as tf
# 创建一个变量， 初始化为标量 0
state = tf.Variable(0, name="counter")
# 创建一个operation, 其作用是使state 增加 1
one = tf.constant(1)
new_value = tf.add(state, one)
update = tf.assign(state, new_value) # 这样才能重复执行+1的操作,实际上就代表：state=new_value
# 启动图后, 变量必须先经过`初始化` (init) o... | [
"# coding: utf-8\n\"\"\"\n最简单的计数器，仅仅为了展示基本方式\n\"\"\"\nimport tensorflow as tf\n\n# 创建一个变量， 初始化为标量 0\nstate = tf.Variable(0, name=\"counter\")\n\n# 创建一个operation, 其作用是使state 增加 1\none = tf.constant(1)\nnew_value = tf.add(state, one)\nupdate = tf.assign(state, new_value) # 这样才能重复执行+1的操作,实际上就代表：state=new_value\n\n# ... | false |
2,938 | 1cc9c89182f69a5f1eb9a0e7f3433dc30c8d7035 |
print("calificacion de los alumnos")
lista2_calificaciones=[]
for i in range (0,5):
lista2_calificaciones.append(int(input(f"ingrese la calificacion corresponfiente al alumno")))
print(lista2_calificaciones)
for n in range(0,len(lista2_calificaciones)):
if lista2_calificaciones[i] >=0 and lista2_calific... | [
"\n\nprint(\"calificacion de los alumnos\")\n\nlista2_calificaciones=[]\nfor i in range (0,5):\n lista2_calificaciones.append(int(input(f\"ingrese la calificacion corresponfiente al alumno\")))\n print(lista2_calificaciones)\n\nfor n in range(0,len(lista2_calificaciones)):\n if lista2_calificaciones[i] >=0... | false |
2,939 | fef1273552350bfaf075d90279c9f10a965cae25 | # Accepted
def bubble_sort(a_list, n):
num_reverse = 0
for i in range(n):
for j in range(n - i - 1):
# With a for roop (reversed order),
# index starts -1, -2 ,...,
# NOT -0, -1, ...
if a_list[-j - 2] > a_list[-j - 1]:
tmp_elem = a_list[-... | [
"# Accepted\ndef bubble_sort(a_list, n):\n num_reverse = 0\n for i in range(n):\n for j in range(n - i - 1):\n # With a for roop (reversed order), \n # index starts -1, -2 ,...,\n # NOT -0, -1, ...\n if a_list[-j - 2] > a_list[-j - 1]:\n tmp_e... | false |
2,940 | d4b01b015723950a4d8c3453d736cd64f306d27b | # Game Tebak Angka
from random import randint
nyawa = 3
angka_rahasia = randint(0,10)
limit = 0
print(f"Selamat datang di Game Tebak angka")
while nyawa > limit:
print(f"Percobaan anda tersisa {nyawa}")
jawaban = int(input("Masukkan angka 0-10 = "))
if jawaban == angka_rahasia:
... | [
"# Game Tebak Angka \r\n\r\nfrom random import randint \r\n\r\nnyawa = 3 \r\nangka_rahasia = randint(0,10) \r\nlimit = 0 \r\n\r\nprint(f\"Selamat datang di Game Tebak angka\")\r\nwhile nyawa > limit: \r\n print(f\"Percobaan anda tersisa {nyawa}\")\r\n jawaban = int(input(\"Masukkan angka 0-10 = \"))\r\n if... | false |
2,941 | 1255a9df2fbe11d92991f3f0f7054b92cb017628 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 12 20:29:49 2019
@author: kzx789
"""
from PIL import Image
import os, glob, numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import math
import cv2
import pymysql
import MySQLdb as mysql
"""
#csv를 읽어서 영양정보 출력
def get_Nutrition(str) :
nutrition = pd.r... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue Mar 12 20:29:49 2019\n\n@author: kzx789\n\"\"\"\n\nfrom PIL import Image\nimport os, glob, numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport math\nimport cv2\nimport pymysql\nimport MySQLdb as mysql\n\n\"\"\"\n#csv를 읽어서 영양정보 출력\ndef get_Nutrit... | false |
2,942 | 051544f41cc3c7d78210076cb9720866924ea2a1 | # Print list of files and directories
import os
def file_list(dir):
subdir_list = []
for item in os.listdir(dir):
fullpath = os.path.join(dir,item)
if os.path.isdir(fullpath):
subdir_list.append(fullpath)
else:
print(fullpath)
for d in subdir_list:
f... | [
"# Print list of files and directories\nimport os\n\ndef file_list(dir):\n subdir_list = []\n for item in os.listdir(dir):\n fullpath = os.path.join(dir,item)\n if os.path.isdir(fullpath):\n subdir_list.append(fullpath)\n else:\n print(fullpath)\n\n for d in subdi... | false |
2,943 | 95021cc01c0b85b512fd466797d4d128472773c3 | import shelve
arguments = ["self", "info", "args", "world"]
minlevel = 2
helpstring = "moneyreset"
def main(connection, info, args, world) :
"""Resets a users money"""
money = shelve.open("money-%s.db" % (world.hostnicks[connection.host]), writeback=True)
money[info["sender"]] = {"money":100000, "maxmoney"... | [
"import shelve\narguments = [\"self\", \"info\", \"args\", \"world\"]\nminlevel = 2\nhelpstring = \"moneyreset\"\n\ndef main(connection, info, args, world) :\n \"\"\"Resets a users money\"\"\"\n money = shelve.open(\"money-%s.db\" % (world.hostnicks[connection.host]), writeback=True)\n money[info[\"sender\... | false |
2,944 | 5a0702dd869862ebc27c83d10e0b1f0575de68a7 | import itertools
import numpy
import math
import psycopg2
import podatki
baza = podatki.baza
dom = podatki.preberi_lokacijo()
seznam_trgovin =["spar", "mercator", "tus", "hofer", "lidl"]
id_in_opis = podatki.id_izdelka_v_opis()
seznam_izdelkov = [el[0] for el in id_in_opis] #['cokolada', 'sladoled', ...]
mnozica_izdel... | [
"import itertools\nimport numpy\nimport math\nimport psycopg2\nimport podatki\n\nbaza = podatki.baza\ndom = podatki.preberi_lokacijo()\nseznam_trgovin =[\"spar\", \"mercator\", \"tus\", \"hofer\", \"lidl\"]\nid_in_opis = podatki.id_izdelka_v_opis()\nseznam_izdelkov = [el[0] for el in id_in_opis] #['cokolada', 'slad... | false |
2,945 | 6c88e55a76cbd84cee0ebd6c51d930cc2da100d2 | print("hello world")
print("lol")
print("new changes in vis") | [
"print(\"hello world\")\nprint(\"lol\")\nprint(\"new changes in vis\")",
"print('hello world')\nprint('lol')\nprint('new changes in vis')\n",
"<code token>\n"
] | false |
2,946 | bdbeebab70a6d69e7553807d48e3539b78b48add | # SymBeam examples suit
# ==========================================================================================
# António Carneiro <amcc@fe.up.pt> 2020
# Features: 1. Numeric length
# 2. Pin
# 3. Two rollers
# 4. Numeric distributed... | [
"# SymBeam examples suit\n# ==========================================================================================\n# António Carneiro <amcc@fe.up.pt> 2020\n# Features: 1. Numeric length\n# 2. Pin\n# 3. Two rollers\n# 4. Numeric ... | false |
2,947 | ba808d23f6a8226f40e1c214012a1535ee1e9e98 | import os
import json
import librosa
# Constants
# Dataset used for training
DATASET_PATH = "dataset"
# Where the data is stored
JSON_PATH = "data.json"
# Number of samples considered to preprocess data
SAMPLES_TO_CONSIDER = 22050 # 1 sec worth of sound
# Main function to preprocess the data
def prepare_dataset(dat... | [
"import os\nimport json\nimport librosa\n\n# Constants\n# Dataset used for training\nDATASET_PATH = \"dataset\"\n# Where the data is stored\nJSON_PATH = \"data.json\"\n# Number of samples considered to preprocess data\nSAMPLES_TO_CONSIDER = 22050 # 1 sec worth of sound\n\n\n# Main function to preprocess the data\n... | false |
2,948 | 1593280a29b13461b13d8b2805d9ac53ce94c759 |
import turtle
import random
import winsound
import sys
""" new_game = False
def toggle_new_game():
global new_game
if new_game == False:
new_game = True
else:
new_game = False """
wn = turtle.Screen()
wn.title("MaskUp")
wn.bgcolor("green")
wn.bgpic("retro_city_title... | [
"\r\nimport turtle\r\nimport random\r\nimport winsound\r\nimport sys\r\n\r\n\r\n\r\n\"\"\" new_game = False\r\n\r\ndef toggle_new_game():\r\n global new_game\r\n if new_game == False:\r\n new_game = True\r\n else:\r\n new_game = False \"\"\"\r\n\r\nwn = turtle.Screen()\r\nwn.title(\"MaskUp\")... | false |
2,949 | 1f1677687ba6ca47b18728b0fd3b9926436e9796 | #Voir paragraphe "3.6 Normalizing Text", page 107 de NLP with Python
from nltk.stem.snowball import SnowballStemmer
from nltk.stem.wordnet import WordNetLemmatizer
# Il faut retirer les stopwords avant de stemmer
stemmer = SnowballStemmer("english", ignore_stopwords=True)
lemmatizer = WordNetLemmatizer()
source = ... | [
"#Voir paragraphe \"3.6 Normalizing Text\", page 107 de NLP with Python\n\n\nfrom nltk.stem.snowball import SnowballStemmer\nfrom nltk.stem.wordnet import WordNetLemmatizer\n\n# Il faut retirer les stopwords avant de stemmer\n\nstemmer = SnowballStemmer(\"english\", ignore_stopwords=True)\nlemmatizer = WordNetLemma... | false |
2,950 | aa79d5cbe656979bf9c228f6a576f2bbf7e405ca | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
fr... | [
"# coding=utf-8\n# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***\n# *** Do not edit by hand unless you're certain you know what you are doing! ***\n\nimport copy\nimport warnings\nimport pulumi\nimport pulumi.runtime\nfrom typing import Any, Mapping, Optional, Sequence, Union... | false |
2,951 | 613b060ee50b49417342cfa70b36f77d112dcc58 | from collections import Counter
import pandas as pd
import string
from collections import namedtuple, defaultdict
import csv
import sys
import torch
import numpy as np
from sklearn.preprocessing import LabelEncoder
from scipy.sparse import coo_matrix
from tqdm import tqdm
device = torch.device('cuda' if torch.cuda.is_... | [
"from collections import Counter\nimport pandas as pd\nimport string\nfrom collections import namedtuple, defaultdict\nimport csv\nimport sys\nimport torch\nimport numpy as np\nfrom sklearn.preprocessing import LabelEncoder\nfrom scipy.sparse import coo_matrix\nfrom tqdm import tqdm\n\ndevice = torch.device('cuda' ... | false |
2,952 | 6d974580ff546bda17caa1e61e2621b4bc705f3f | from flask import jsonify
from flask_restful import Resource
from flask_apispec.views import MethodResource
import pandas as pd
import jellyfish
df = pd.read_csv('data/trancotop1m.csv')
df_dict = df.to_dict('records')
class StrComparison(MethodResource,Resource):
# @requires_auth
def get(self, domain):
... | [
"from flask import jsonify\nfrom flask_restful import Resource\nfrom flask_apispec.views import MethodResource\nimport pandas as pd\nimport jellyfish\n\ndf = pd.read_csv('data/trancotop1m.csv')\ndf_dict = df.to_dict('records')\n\nclass StrComparison(MethodResource,Resource):\n # @requires_auth\n def get(self,... | false |
2,953 | 7bcbcbe51217b2ea9044a7e4a4bebf315069c92d | """
Create a function that takes two number strings and returns their sum as a string.
Examples
add("111", "111") ➞ "222"
add("10", "80") ➞ "90"
add("", "20") ➞ "Invalid Operation"
Notes
If any input is "" or None, return "Invalid Operation".
"""
def add(n1, n2):
if n1 == "" or n2 == "":
return "Invali... | [
"\"\"\"\nCreate a function that takes two number strings and returns their sum as a string.\n\nExamples\nadd(\"111\", \"111\") ➞ \"222\"\n\nadd(\"10\", \"80\") ➞ \"90\"\n\nadd(\"\", \"20\") ➞ \"Invalid Operation\"\nNotes\nIf any input is \"\" or None, return \"Invalid Operation\".\n\"\"\"\n\n\ndef add(n1, n2):\n ... | false |
2,954 | f5b8d8c291d18c6f320704a89985acbcae97ca2f | from ImageCoord import ImageCoord
import os
import sys
from folium.features import DivIcon
# Chemin du dossier ou l'on recupere les images
racine = tkinter.Tk()
racine.title("listPhoto")
racine.directory = filedialog.askdirectory()
cheminDossier = racine.directory
dirImage = os.listdir(cheminDossier)
listImage = []
... | [
"from ImageCoord import ImageCoord\nimport os\nimport sys\nfrom folium.features import DivIcon\n\n# Chemin du dossier ou l'on recupere les images\n\nracine = tkinter.Tk()\nracine.title(\"listPhoto\")\nracine.directory = filedialog.askdirectory()\ncheminDossier = racine.directory\ndirImage = os.listdir(cheminDossier... | false |
2,955 | bce794616889b80c152a8ebec8d02e49a96684e9 | import csv, io
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import permission_required
from django.views import generic
from itertools import chain
from .models import Player, League, Team
class IndexView(generic.ListView):
templ... | [
"import csv, io\r\nfrom django.shortcuts import render, redirect\r\nfrom django.contrib import messages\r\nfrom django.contrib.auth.decorators import permission_required\r\nfrom django.views import generic\r\nfrom itertools import chain\r\n\r\nfrom .models import Player, League, Team\r\n\r\n\r\nclass IndexView(gene... | false |
2,956 | 3146775c466368c25c92bd6074abb97408533500 | import logging
loggers = {}
def create_logger(
log_level:str ='INFO',
log_name:str = 'logfile',
export_log: bool = True,
save_dir:str = ''):
if log_name in loggers.keys():
logger = loggers.get(log_name)
else:
# create logger
logger = logging.getLogger(log_name)
... | [
"import logging\n\nloggers = {} \n\ndef create_logger(\n log_level:str ='INFO', \n log_name:str = 'logfile',\n export_log: bool = True,\n save_dir:str = ''):\n if log_name in loggers.keys():\n logger = loggers.get(log_name)\n else:\n # create logger\n logger = logging.getLogge... | false |
2,957 | 6cb97e6f3c7ba312ec1458fd51635508a16f70dd | from mysql import connector
def get_db_connection():
try:
return connector.connect(host="server_database_1", user="root", password="password1234", database="SMARTHOUSE")
except connector.errors.DatabaseError:
connection = connector.connect(host="server_database_1", user="root", password="pass... | [
"from mysql import connector\n\n\ndef get_db_connection():\n try:\n return connector.connect(host=\"server_database_1\", user=\"root\", password=\"password1234\", database=\"SMARTHOUSE\")\n except connector.errors.DatabaseError:\n connection = connector.connect(host=\"server_database_1\", user=... | false |
2,958 | 919f1746bfdec61f5e81e6ce0e17bb3bf040230a | # square environment. there are the wall at the edge
from environment import super_environment
class SquareNormal(super_environment.Environment):
def __init__(self, size_x, size_y):
super().__init__(size_x, size_y)
@staticmethod
def environment_type():
return 'square'
def get_convert... | [
"# square environment. there are the wall at the edge\nfrom environment import super_environment\n\n\nclass SquareNormal(super_environment.Environment):\n def __init__(self, size_x, size_y):\n super().__init__(size_x, size_y)\n\n @staticmethod\n def environment_type():\n return 'square'\n\n ... | false |
2,959 | d9bdf466abecb50c399556b99b41896eead0cb4b | from flask import Flask, request, g
from flask_restful import Resource, Api
from sqlalchemy import create_engine
from flask import jsonify
import json
import eth_account
import algosdk
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import scoped_session
from sqlalchemy.orm import load_only
from datetime im... | [
"from flask import Flask, request, g\nfrom flask_restful import Resource, Api\nfrom sqlalchemy import create_engine\nfrom flask import jsonify\nimport json\nimport eth_account\nimport algosdk\nfrom sqlalchemy.orm import sessionmaker\nfrom sqlalchemy.orm import scoped_session\nfrom sqlalchemy.orm import load_only\nf... | false |
2,960 | 7c53c7bec6b6b2d4d6be89b750eeef83ca9115cc | from typing import List
class CourseSchedule:
"""
Problem: Course Schedule (#207)
Key Insights:
1. Create adjaceny list of courses to prerequisites.
2. Use DFS and visited set to detect a cycle. If there is a cycle, cannot finish all the courses.
3. Remember to remove a course (node) from visi... | [
"from typing import List \n\nclass CourseSchedule:\n \"\"\"\n Problem: Course Schedule (#207)\n Key Insights:\n 1. Create adjaceny list of courses to prerequisites.\n 2. Use DFS and visited set to detect a cycle. If there is a cycle, cannot finish all the courses.\n 3. Remember to remove a course ... | false |
2,961 | d0f2d47a786b85367f96897e7cd8c2ef8c577e2b | import datetime
from flask import Flask, render_template, request
import database
import database1
import database2
import getYoutubeVideoLinks as getYT
import os
os.environ["EAI_USERNAME"] = 'pitabi1360@pashter.com'
os.environ["EAI_PASSWORD"] = 'Testqwerty1!'
from expertai.nlapi.cloud.client import ExpertAiClient
cl... | [
"import datetime\nfrom flask import Flask, render_template, request\nimport database\nimport database1\nimport database2\nimport getYoutubeVideoLinks as getYT\n\nimport os\nos.environ[\"EAI_USERNAME\"] = 'pitabi1360@pashter.com'\nos.environ[\"EAI_PASSWORD\"] = 'Testqwerty1!'\n\nfrom expertai.nlapi.cloud.client impo... | false |
2,962 | 605c78795b5a072d330d44a150f26ad410d9d084 | import bluetooth
import serial
import struct
# Definition of Bluetooth rfcomm socket
bd_addr = "98:D3:37:00:8D:39" # The address from the HC-05 sensor
port = 1
sock = bluetooth.BluetoothSocket(bluetooth.RFCOMM)
sock.connect((bd_addr,port))
# Definition of Serial port
ser = serial.Serial("/dev/ttyACM0", 57600)
def BT... | [
"import bluetooth\nimport serial\nimport struct\n\n# Definition of Bluetooth rfcomm socket\nbd_addr = \"98:D3:37:00:8D:39\" # The address from the HC-05 sensor\nport = 1\nsock = bluetooth.BluetoothSocket(bluetooth.RFCOMM)\nsock.connect((bd_addr,port))\n\n# Definition of Serial port\nser = serial.Serial(\"/dev/ttyAC... | true |
2,963 | e9a4ea69a4bd9b75b8eb8092b140691aab763ae4 | from collections import Counter
from collections import deque
import os
def wc(argval):
bool = False
if("|" in argval):
bool = True
del argval[len(argval)-1]
hf=open("commandoutput.txt","r+")
open("commandoutput.txt","w").close()
hf=open("commandoutput.txt","w")
numoflines = 0
... | [
"from collections import Counter\nfrom collections import deque\nimport os\ndef wc(argval):\n bool = False\n if(\"|\" in argval):\n bool = True\n del argval[len(argval)-1] \n hf=open(\"commandoutput.txt\",\"r+\")\n open(\"commandoutput.txt\",\"w\").close()\n hf=open(\"commandoutput.txt\",... | true |
2,964 | 7e20c61fa30ea93e69a2479e70449638eb52b7bb | #!/usr/bin/env python
"""
Update the expected test outputs and inputs for rsmsummarize and rsmcompare tests.
This script assumes that you have already run `nose2 -s tests` and ran the entire
test suite. By doing so, the output has been generated under the given outputs
directory. And that is what will be used to gener... | [
"#!/usr/bin/env python\n\"\"\"\nUpdate the expected test outputs and inputs for rsmsummarize and rsmcompare tests.\n\nThis script assumes that you have already run `nose2 -s tests` and ran the entire\ntest suite. By doing so, the output has been generated under the given outputs\ndirectory. And that is what will be... | false |
2,965 | 173b8e66ead62e3aa70805e42e06ea05257d5ee2 | class Tool:
def __init__(self, name, weight):
self.name = name
self.weight = weight
def __repr__(self):
return f'Tool({self.name!r},{self.weight})'
tools = [
Tool('수준계', 3.5),
Tool('해머', 1.25),
Tool('스크류드라이버', .5),
Tool('끌', .25)
]
print(repr(tools))
tools.sort(reverse... | [
"class Tool:\n def __init__(self, name, weight):\n self.name = name\n self.weight = weight\n\n def __repr__(self):\n return f'Tool({self.name!r},{self.weight})'\n\n\ntools = [\n Tool('수준계', 3.5),\n Tool('해머', 1.25),\n Tool('스크류드라이버', .5),\n Tool('끌', .25)\n]\nprint(repr(tools)... | false |
2,966 | 4f91c57ad42759654a87328d5c92de8da14ca5ea | import os
from CTFd.utils.encoding import hexencode
def generate_nonce():
return hexencode(os.urandom(32))
| [
"import os\r\n\r\nfrom CTFd.utils.encoding import hexencode\r\n\r\n\r\ndef generate_nonce():\r\n return hexencode(os.urandom(32))\r\n",
"import os\nfrom CTFd.utils.encoding import hexencode\n\n\ndef generate_nonce():\n return hexencode(os.urandom(32))\n",
"<import token>\n\n\ndef generate_nonce():\n re... | false |
2,967 | a24ab93983546f8ae0fab042c121ac52388e62e8 | users = {1: "Tom", 2: "Bob", 3: "Bill"}
elements = {"Au": "Oltin", "Fe": "Temir", "H": "Vodorod", "O": "Kislorod"} | [
"users = {1: \"Tom\", 2: \"Bob\", 3: \"Bill\"}\n\nelements = {\"Au\": \"Oltin\", \"Fe\": \"Temir\", \"H\": \"Vodorod\", \"O\": \"Kislorod\"}",
"users = {(1): 'Tom', (2): 'Bob', (3): 'Bill'}\nelements = {'Au': 'Oltin', 'Fe': 'Temir', 'H': 'Vodorod', 'O': 'Kislorod'}\n",
"<assignment token>\n"
] | false |
2,968 | 1c01fbf7eafd49ada71cb018a62ead5988dcf251 | from prediction_model import PredictionModel
import util.nlp as nlp
import re
class NLPPredictionModel(object):
def getPasswordProbabilities(self, sweetwordList):
# can not deal with sweetword that contains no letters
result = []
for s in sweetwordList:
words = re.findall(r"[... | [
"from prediction_model import PredictionModel\nimport util.nlp as nlp\nimport re\n\n\nclass NLPPredictionModel(object):\n\n def getPasswordProbabilities(self, sweetwordList):\n # can not deal with sweetword that contains no letters\n\n result = []\n for s in sweetwordList:\n words... | false |
2,969 | 30a2e4aa88b286179e2870205e90fab4a7474e12 | #!/usr/bin/env python
# -*-coding:utf-8-*-
__author__ = '李晓波'
from linux import sysinfo
#调用相应收集处理函数
def LinuxSysInfo():
#print __file__
return sysinfo.collect()
def WindowsSysInfo():
from windows import sysinfo as win_sysinfo
return win_sysinfo.collect()
| [
"#!/usr/bin/env python\n# -*-coding:utf-8-*-\n__author__ = '李晓波'\n\nfrom linux import sysinfo\n\n\n#调用相应收集处理函数\n\ndef LinuxSysInfo():\n #print __file__\n return sysinfo.collect()\n\n\ndef WindowsSysInfo():\n from windows import sysinfo as win_sysinfo\n return win_sysinfo.collect()\n",
"__author__ = '... | false |
2,970 | a74d27d9e31872100b4f22512abe9de7d9277de7 | # -*- coding: GB18030 -*-
import inspect
import os,sys
import subprocess
from lib.common.utils import *
from lib.common.loger import loger
from lib.common import checker
from lib.common.logreader import LogReader
import shutil
from lib.common.XmlHandler import *
from lib.common.Dict import *
class baseModule(object):
... | [
"# -*- coding: GB18030 -*-\nimport inspect\nimport os,sys\nimport subprocess\nfrom lib.common.utils import *\nfrom lib.common.loger import loger\nfrom lib.common import checker\nfrom lib.common.logreader import LogReader\nimport shutil\nfrom lib.common.XmlHandler import *\nfrom lib.common.Dict import *\n\nclass bas... | true |
2,971 | 0d565c9f92a60d25f28c903c0a27e7b93d547a4f | #Create Pandas dataframe from the DarkSage output G['']
import pandas as pd
import numpy as np
# This is a way to converte multi dimensional data into pd.Series and then load these into the pandas dataframe
Pos = []
for p in G['Pos']:
Pos.append(p)
Pos_df = pd.Series(Pos, dtype=np.dtype("object"))
Vel = []
for ... | [
"#Create Pandas dataframe from the DarkSage output G['']\n\nimport pandas as pd\nimport numpy as np\n\n\n# This is a way to converte multi dimensional data into pd.Series and then load these into the pandas dataframe\nPos = []\nfor p in G['Pos']:\n Pos.append(p)\nPos_df = pd.Series(Pos, dtype=np.dtype(\"object\"... | false |
2,972 | c581d9714681e22c75b1eeb866ea300e87b883f1 | def domain_sort_key(domain):
"""Key to sort hosts / domains alphabetically, by domain name."""
import re
domain_expr = r'(.*\.)?(.*\.)(.*)' # Eg: (www.)(google.)(com)
domain_search = re.search(domain_expr, domain)
if domain_search and domain_search.group(1):
# sort by domain name and then... | [
"def domain_sort_key(domain):\n \"\"\"Key to sort hosts / domains alphabetically, by domain name.\"\"\"\n import re\n domain_expr = r'(.*\\.)?(.*\\.)(.*)' # Eg: (www.)(google.)(com)\n domain_search = re.search(domain_expr, domain)\n\n if domain_search and domain_search.group(1):\n # sort by d... | false |
2,973 | a29cf9e7006d52cea8f5ccdcbc2087983ffa3ef3 | from modules.core.logging.logging_service import LoggingService
from modules.core.logging.models import LogLevel, LogEntry
import pytest
from .setup import register_test_db, register_test_injections, teardown,\
drop_all_collections
@pytest.fixture(autouse=True)
def setup():
register_test_db()
... | [
"from modules.core.logging.logging_service import LoggingService\nfrom modules.core.logging.models import LogLevel, LogEntry\nimport pytest\nfrom .setup import register_test_db, register_test_injections, teardown,\\\n drop_all_collections\n\n\n@pytest.fixture(autouse=True)\ndef setup():\n regi... | false |
2,974 | 19888c998e8787533e84413272da1183f16fcdb1 | # 8-7. Album: Write a function called make_album() that builds a dictionary
# describing a music album. The function should take in an artist name and an
# album title, and it should return a dictionary containing these two pieces
# of information. Use the function to make three dictionaries representing
# di... | [
"# 8-7. Album: Write a function called make_album() that builds a dictionary\n# describing a music album. The function should take in an artist name and an\n# album title, and it should return a dictionary containing these two pieces\n# of information. Use the function to make three dictionaries representin... | false |
2,975 | e40b34f0ee51cc14615c6225a7676929e6d2876a | #!/usr/bin/env python3
import datetime, random
class State(object):
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class State_New(State):
def __init__(self):
super(State_New, self).__init__("New")
class State_Underway(State):
def __init__(sel... | [
"#!/usr/bin/env python3\n\nimport datetime, random\n\nclass State(object):\n def __init__(self, name):\n self.name = name\n\n def __str__(self):\n return self.name\n\nclass State_New(State):\n def __init__(self):\n super(State_New, self).__init__(\"New\")\n\nclass State_Underway(State)... | false |
2,976 | 4dd71d01e499f3d0ee49d3bf5204fb3bbb03ede5 | from email import encoders
from email.header import Header
from email.mime.text import MIMEText
from email.utils import parseaddr,formataddr
import smtplib
def _format_addr(s):
name, addr = parseaddr(s)
return formataddr((Header(name,'UTF-8').encode(), addr))
from_addr='gaofeng4280@163.com'
to_addr='10713802... | [
"from email import encoders\nfrom email.header import Header\nfrom email.mime.text import MIMEText\nfrom email.utils import parseaddr,formataddr\n\nimport smtplib\n\ndef _format_addr(s):\n name, addr = parseaddr(s)\n return formataddr((Header(name,'UTF-8').encode(), addr))\n\nfrom_addr='gaofeng4280@163.com'\n... | false |
2,977 | 5d55c586c57de8f287d9f51f0cb1f188c8046c29 | #!/bin/python3
def solveMeFirst(a,b):
return a + b
print(solveMeFirst(int(input()),int(input())))
| [
"#!/bin/python3\n\ndef solveMeFirst(a,b):\n return a + b\n\nprint(solveMeFirst(int(input()),int(input())))\n",
"def solveMeFirst(a, b):\n return a + b\n\n\nprint(solveMeFirst(int(input()), int(input())))\n",
"def solveMeFirst(a, b):\n return a + b\n\n\n<code token>\n",
"<function token>\n<code token>\... | false |
2,978 | 34f3212b0254cbcb5e1ca535a29d4fe820dcaad8 | from .hacker import HackerRegistrationPage
from .judge import JudgeRegistrationPage
from .mentor import MentorRegistrationPage
from .organizer import OrganizerRegistrationPage
from .user import UserRegistrationPage
| [
"from .hacker import HackerRegistrationPage\nfrom .judge import JudgeRegistrationPage\nfrom .mentor import MentorRegistrationPage\nfrom .organizer import OrganizerRegistrationPage\nfrom .user import UserRegistrationPage\n",
"<import token>\n"
] | false |
2,979 | 57490e56833154d3ed3a18b5bf7bc4db32a50d69 | import numpy as np
import json
from netCDF4 import Dataset,stringtochar,chartostring,Variable,Group
def is_json(myjson):
try:
json_object = json.loads(myjson)
except:
return False
return True
def getType(type):
t=np.dtype(type).char
if t=="S":return 'S1'
if t=="U":return 'U1'
return t
def get... | [
"import numpy as np\nimport json\nfrom netCDF4 import Dataset,stringtochar,chartostring,Variable,Group\n\ndef is_json(myjson):\n try:\n json_object = json.loads(myjson)\n except:\n return False\n return True\n\ndef getType(type):\n t=np.dtype(type).char\n if t==\"S\":return 'S1'\n if t==\"U\":return 'U1... | false |
2,980 | 863bae04a90143ed942a478c4b71a2269e123bb5 | from compass import models
from compass.models.MetabolicModel import MetabolicModel
def test_sbml_3():
model = models.load_metabolic_model("RECON1_xml")
assert isinstance(model, MetabolicModel)
assert len(model.reactions) == 3742
assert len(model.species) == 2766
def test_sbml_2():
model = model... | [
"from compass import models\nfrom compass.models.MetabolicModel import MetabolicModel\n\n\ndef test_sbml_3():\n model = models.load_metabolic_model(\"RECON1_xml\")\n assert isinstance(model, MetabolicModel)\n assert len(model.reactions) == 3742\n assert len(model.species) == 2766\n\n\ndef test_sbml_2():... | false |
2,981 | ed2ae166c4881289b27b7e74e212ba2d6164998b |
import numpy as np
class Element(object):
def __init__(self):
self.ndof = 0
self.nn = 0
self.ng = 0
self.element_type = 0
self.coord_position = np.array([])
self.setup()
def setup(self):
pass
def shape_function_value(self):
... | [
"\r\nimport numpy as np \r\n\r\n\r\nclass Element(object):\r\n\r\n def __init__(self):\r\n self.ndof = 0\r\n self.nn = 0\r\n self.ng = 0\r\n self.element_type = 0\r\n self.coord_position = np.array([])\r\n\r\n self.setup()\r\n\r\n def setup(self):\r\n pass\r\n\... | false |
2,982 | b109568c4dba05b16cbed1759a2b9e0a99babc67 | import pandas as pd
import numpy as np
from scipy import misc
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
import time
import math
import cv2
import matplotlib
matplotlib.use("TkAgg")
from matplotlib import pyplot as plt
from keras.models import Sequential
from keras.layers im... | [
"import pandas as pd\nimport numpy as np\nfrom scipy import misc\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.utils import shuffle\nimport time\nimport math\nimport cv2\nimport matplotlib\nmatplotlib.use(\"TkAgg\")\nfrom matplotlib import pyplot as plt\n\nfrom keras.models import Sequential\n... | false |
2,983 | 6d0cfc9d5bbc45bfa356c45a7cdb9f4822b03e0a | # 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... | [
"# 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.ShowAllWindows()\nvisit.OpenDatabase(\"test.vtk\", 0)\n# The UpdateDBPluginInfo RPC is not supp... | true |
2,984 | 0bb2a6ebbf75fae3466c34a435a531fabdc07f62 | #!/usr/bin/env python
'''
State Machine for the Flare task
'''
import roslib
import rospy
import actionlib
from rospy.timer import sleep
import smach
import smach_ros
from dynamic_reconfigure.server import Server
import math
import os
import sys
import numpy as np
from bbauv_msgs.msg import *
from bbauv_msgs.srv... | [
"#!/usr/bin/env python\n'''\nState Machine for the Flare task\n'''\n\nimport roslib\nimport rospy\nimport actionlib\nfrom rospy.timer import sleep\n\nimport smach\nimport smach_ros\n\nfrom dynamic_reconfigure.server import Server\n\nimport math\nimport os\nimport sys\n\n\nimport numpy as np\n\nfrom bbauv_msgs.msg i... | false |
2,985 | 76e1f811d06af0e6e83ae989a236a5cd22c55e01 | # -*- coding: utf-8 -*-
import argparse
import redis
from Tkinter import *
import ttk
import json
import time
import thread
R = None
NAME = {}
PROBLEM_NAME = {}
CONTEST_ID = None
QUEUE_NAME = None
BACKUP_QUEUE_NAME = None
RUNID_FIELD = "runid"
SUBMIT_TIME_FIELD = "submit_time"
STATUS_FIELD = "status"
STATUS_FINISHED... | [
"# -*- coding: utf-8 -*-\n\nimport argparse\nimport redis\nfrom Tkinter import *\nimport ttk\nimport json\nimport time\nimport thread\n\nR = None\nNAME = {}\nPROBLEM_NAME = {}\nCONTEST_ID = None\n\nQUEUE_NAME = None\nBACKUP_QUEUE_NAME = None\nRUNID_FIELD = \"runid\"\nSUBMIT_TIME_FIELD = \"submit_time\"\nSTATUS_FIEL... | false |
2,986 | d4d8d800b81a50f2c520f0394412935738d1a8ee | class Queue(object):
def __init__(self, val_list=None):
self.stack_one = []
self.stack_two = []
if val_list:
for item in val_list:
self.stack_one.append(item)
def push(self, val=None):
if val:
self.stack_one.append(val)
def pop(self):... | [
"class Queue(object):\n def __init__(self, val_list=None):\n self.stack_one = []\n self.stack_two = []\n if val_list:\n for item in val_list:\n self.stack_one.append(item)\n\n def push(self, val=None):\n if val:\n self.stack_one.append(val)\n\n ... | false |
2,987 | 00f62fec7f5372c5798b0ebf3f3783233360581e | #!/usr/bin/env python3
import sys
import csv
import math
import collections
import argparse
import fileinput
import lp
parser = argparse.ArgumentParser(description="Takes an input of *.lp format and sets all radii to the same value")
parser.add_argument("inputfile", help="if specified reads a *.lp formatted file oth... | [
"#!/usr/bin/env python3\nimport sys\nimport csv\nimport math\n\nimport collections\nimport argparse\nimport fileinput\n\nimport lp\n\nparser = argparse.ArgumentParser(description=\"Takes an input of *.lp format and sets all radii to the same value\")\nparser.add_argument(\"inputfile\", help=\"if specified reads a *... | false |
2,988 | a6a5fddb8e1eda4cc8e9c79ad83019f55d149a80 | import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_digits
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.preprocessing import LabelBinarizer
def tanh(x):
return np.tanh(x)
def tanh_deriv(x):
return 1.0 - np.tanh(x) * np... | [
"import numpy as np\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.datasets import load_digits\nfrom sklearn.metrics import confusion_matrix, classification_report\nfrom sklearn.preprocessing import LabelBinarizer\n\n\ndef tanh(x):\n return np.tanh(x)\n\n\ndef tanh_deriv(x):\n return 1.0 ... | false |
2,989 | 524b6ebd0be4c2285fac540627bb48baca71452e | g#https://www.acmicpc.net/problem/9461
'''
1. Divide 2 case △ and ▽
d[0] is △ sequence
d[1] is ▽ sequence
2. find a role between d[0] and d[1]
'''
import math
t = int(input())
n = []
for _ in range(t):
n.append(int(input()))
index = math.ceil(max(n)/2)
d = [[0 for _ in range(52)] for _ in range(2)]
d[0][1],d[0][2],... | [
"g#https://www.acmicpc.net/problem/9461\n'''\n1. Divide 2 case △ and ▽\nd[0] is △ sequence\nd[1] is ▽ sequence\n2. find a role between d[0] and d[1]\n'''\nimport math\nt = int(input())\nn = []\nfor _ in range(t):\n n.append(int(input()))\nindex = math.ceil(max(n)/2)\nd = [[0 for _ in range(52)] for _ in range(2)... | false |
2,990 | 47dc9212a1059cbca8ec6732deaa835fa9967fd8 | from leapp.models import Model, fields
from leapp.topics import TransactionTopic
class TargetRepositoryBase(Model):
topic = TransactionTopic
repoid = fields.String()
class UsedTargetRepository(TargetRepositoryBase):
pass
class RHELTargetRepository(TargetRepositoryBase):
pass
class CustomTargetRe... | [
"from leapp.models import Model, fields\nfrom leapp.topics import TransactionTopic\n\n\nclass TargetRepositoryBase(Model):\n topic = TransactionTopic\n repoid = fields.String()\n\n\nclass UsedTargetRepository(TargetRepositoryBase):\n pass\n\n\nclass RHELTargetRepository(TargetRepositoryBase):\n pass\n\n... | false |
2,991 | d18c45c08face08ce8f7dad915f1896c24c95cbf | from django.contrib import admin
from main.models import Assignment, Review, Sample, Question, SampleMultipleFile
# Register your models here.
admin.site.register(Assignment)
admin.site.register(Review)
admin.site.register(Question)
class MultipleFileInline(admin.TabularInline):
model = SampleMultipleFile
class S... | [
"from django.contrib import admin\nfrom main.models import Assignment, Review, Sample, Question, SampleMultipleFile\n\n# Register your models here.\nadmin.site.register(Assignment)\nadmin.site.register(Review)\nadmin.site.register(Question)\n\n\nclass MultipleFileInline(admin.TabularInline):\n\tmodel = SampleMultip... | false |
2,992 | d3f6fb612e314ee2b86f6218719ecac2cc642c59 | # 홍준이는 요즘 주식에 빠져있다. 그는 미래를 내다보는 눈이 뛰어나, 날 별로 주가를 예상하고 언제나 그게 맞아떨어진다. 매일 그는 아래 세 가지 중 한 행동을 한다.
# 1. 주식 하나를 산다.
# 2. 원하는 만큼 가지고 있는 주식을 판다.
# 3. 아무것도 안한다.
# 홍준이는 미래를 예상하는 뛰어난 안목을 가졌지만, 어떻게 해야 자신이 최대 이익을 얻을 수 있는지 모른다. 따라서 당신에게 날 별로 주식의 가격을 알려주었을 때, 최대 이익이 얼마나 되는지 계산을 해달라고 부탁했다.
# 예를 들어 날 수가 3일이고 날 별로 주가가 10, 7, 6일 때, 주... | [
"# 홍준이는 요즘 주식에 빠져있다. 그는 미래를 내다보는 눈이 뛰어나, 날 별로 주가를 예상하고 언제나 그게 맞아떨어진다. 매일 그는 아래 세 가지 중 한 행동을 한다.\n\n# 1. 주식 하나를 산다.\n# 2. 원하는 만큼 가지고 있는 주식을 판다.\n# 3. 아무것도 안한다.\n\n# 홍준이는 미래를 예상하는 뛰어난 안목을 가졌지만, 어떻게 해야 자신이 최대 이익을 얻을 수 있는지 모른다. 따라서 당신에게 날 별로 주식의 가격을 알려주었을 때, 최대 이익이 얼마나 되는지 계산을 해달라고 부탁했다.\n\n# 예를 들어 날 수가 3일이고 날 별로 주가가 1... | false |
2,993 | 6a09311b5b3b876fd94ed0a9cce30e070528f22c | #manual forward propagation
#based on a course I got from Datacamp.com 'Deep Learning in Python'
#python3 ~/Documents/pyfiles/dl/forward.py
#imports
import numpy as np
#we are going to simulate a neural network forward propagation algorithm
#see the picture forwardPropagation.png for more info
#the basics are it mov... | [
"#manual forward propagation\n#based on a course I got from Datacamp.com 'Deep Learning in Python'\n#python3 ~/Documents/pyfiles/dl/forward.py\n\n\n#imports\nimport numpy as np\n\n#we are going to simulate a neural network forward propagation algorithm\n#see the picture forwardPropagation.png for more info\n#the ba... | false |
2,994 | f882589729d74a910d20856d4dc02546fe316e0d | from Graph import create_random_graph
def find_accessible_vertices_backwards(graph, end_vertex):
if end_vertex not in graph.parse_vertices():
raise ValueError("The end vertex is not in the graph.")
visited = []
queue = []
next_vertex = {}
distance_to_end = {}
queue.append... | [
"from Graph import create_random_graph\r\n\r\n\r\ndef find_accessible_vertices_backwards(graph, end_vertex):\r\n if end_vertex not in graph.parse_vertices():\r\n raise ValueError(\"The end vertex is not in the graph.\")\r\n\r\n visited = []\r\n queue = []\r\n next_vertex = {}\r\n distance_to_e... | false |
2,995 | 8443d208a6a6bef82240235eeadbf6f8eaf77bcb | from __future__ import print_function, unicode_literals
import sys
import ast
import os
import tokenize
import warnings
from io import StringIO
def interleave(inter, f, seq):
"""Call f on each item in seq, calling inter() in between.
"""
seq = iter(seq)
try:
f(next(seq))
except StopIteratio... | [
"from __future__ import print_function, unicode_literals\nimport sys\nimport ast\nimport os\nimport tokenize\nimport warnings\nfrom io import StringIO\n\ndef interleave(inter, f, seq):\n \"\"\"Call f on each item in seq, calling inter() in between.\n \"\"\"\n seq = iter(seq)\n try:\n f(next(seq))... | false |
2,996 | 7430e17d1c424362399cf09a0c3ecae825d04567 | import datetime
count = 0
for y in xrange(1901,2001):
for m in xrange(1,13):
if datetime.date(y,m,1).weekday() == 6:
count += 1
print count
| [
"import datetime\ncount = 0\nfor y in xrange(1901,2001):\n\tfor m in xrange(1,13):\n\t\tif datetime.date(y,m,1).weekday() == 6:\n\t\t\tcount += 1\n\nprint count\n"
] | true |
2,997 | 03b2b722832eb46f3f81618f70fd0475f1f08c94 |
from selenium import webdriver
from time import sleep
from bs4 import BeautifulSoup
"""
With selenium we need web driver for our browser.
If you use google chrome, you can download chrome driver from here:
http://chromedriver.chromium.org/downloads
In linux (my OS) I extracted downloaded zip file and pla... | [
"\n\n\nfrom selenium import webdriver\nfrom time import sleep\nfrom bs4 import BeautifulSoup\n\n\n\n\n\"\"\"\n\nWith selenium we need web driver for our browser.\nIf you use google chrome, you can download chrome driver from here:\n \nhttp://chromedriver.chromium.org/downloads\n\n\nIn linux (my OS) I extracted d... | false |
2,998 | 1f49d2341f0bcc712baede28f41c208a01b92e6d | class Rover(object):
DIRECTIONS = 'NESW'
MOVEMENTS = {
'N': (0, 1),
'E': (1, 0),
'S': (0, -1),
'W': (-1, 0)
}
def __init__(self, init_string, plateau_dimensions):
'''
give the rover a sense of the plateau it's on
'''
max_x, max_y = p... | [
"class Rover(object):\n\n DIRECTIONS = 'NESW'\n MOVEMENTS = {\n 'N': (0, 1),\n 'E': (1, 0),\n 'S': (0, -1),\n 'W': (-1, 0)\n }\n\n def __init__(self, init_string, plateau_dimensions):\n ''' \n give the rover a sense of the plateau it's on\n '''\n ... | true |
2,999 | e9b9f87a18a5788ac86b1e85c0f3d7858946e03a | from lib import gen, core
Shellcode = gen.Varname_Creator()
Hide_Window = gen.Varname_Creator()
def Start():
Start_Code = "#include <windows.h>\n"
Start_Code += "#include <tlhelp32.h>\n"
Start_Code += "#include <stdio.h>\n"
Start_Code += "#include <stdlib.h>\n"
Start_Code += "#include <string.... | [
"from lib import gen, core\n\n\n\nShellcode = gen.Varname_Creator()\nHide_Window = gen.Varname_Creator()\n\n\n\ndef Start():\n Start_Code = \"#include <windows.h>\\n\"\n Start_Code += \"#include <tlhelp32.h>\\n\"\n Start_Code += \"#include <stdio.h>\\n\"\n Start_Code += \"#include <stdlib.h>\\n\"\n S... | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.