code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
"""
Unit Tests for endpoints.py
"""
import unittest
import os # pylint: disable=unused-import
from mock import patch, call
from github_approval_checker.utils import util # pylint: disable=unused-import
from github_approval_checker.utils.github_handler import GithubHandler # pylint: disable=unused-import
from github... | normal | {
"blob_id": "7626202d1e3ec7321addbb028be2275b882efda2",
"index": 6453,
"step-1": "<mask token>\n\n\nclass EndpointsUnitTests(unittest.TestCase):\n <mask token>\n\n @patch('github_approval_checker.utils.util.verify_signature')\n @patch('github_approval_checker.api.endpoints.connexion')\n @patch('githu... | [
5,
6,
7,
8,
9
] |
import sys
def isPalin(s):
result = True
for i in range(len(s)/2):
if s[i] != s[-(i + 1)]:
result = False
break
return result
def main():
curr_large = 0
for i in xrange(900, 1000):
for j in xrange(900, 1000):
prod = i * j
# Turns out list comprehension is more succint, but I... | normal | {
"blob_id": "1c171c67ca5ef0e9b5f2941eec7a625a8823271f",
"index": 8463,
"step-1": "import sys\n\ndef isPalin(s):\n result = True\n for i in range(len(s)/2):\n if s[i] != s[-(i + 1)]:\n result = False\n break\n return result\n\n\ndef main():\n curr_large = 0\n for i in xrange(900, 1000):\n for... | [
0
] |
import random
firstNames = ("Thomas", "Daniel", "James", "Aaron", "Tommy", "Terrell", "Jack", "Joseph", "Samuel", "Quinn", "Hunter", "Vince", "Young", "Ian", "Erving", "Leo")
lastNames = ("Smith", "Johnson", "Williams", "Kline","Brown", "Garcia", "Jones", "Miller", "Davis","Williams", "Alves", "Sobronsky", "Hall"... | normal | {
"blob_id": "5607d4fea315fa7bf87337453fbef90a93a66516",
"index": 3968,
"step-1": "<mask token>\n\n\nclass profile:\n\n def __init__(self):\n self.name = firstNames[random.randrange(0, len(firstNames))\n ] + ' ' + lastNames[random.randrange(0, len(lastNames))]\n self.years = 2020\n ... | [
5,
6,
7,
8,
9
] |
from rest_framework import serializers
from .models import data
from django.contrib.auth.models import User
class dataSerializer(serializers.ModelSerializer):
class Meta:
model = data
fields = ['id', 'task', 'duedate', 'person', 'done', 'task_user']
class userSerializer(serializers.ModelSerial... | normal | {
"blob_id": "972c479ea40232e14fbf678ca2ccf9716e473fe8",
"index": 9736,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass userSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = User\n fields = ['username', 'password', 'email']\n",
"step-3": "<mask token>\n\n\ncl... | [
0,
1,
2,
3
] |
#! /usr/bin/python3
print("content-type: text/html")
print()
import cgi
import subprocess as sp
import requests
import xmltodict
import json
db = cgi.FieldStorage()
ch=db.getvalue("ch")
url =("http://www.regcheck.org.uk/api/reg.asmx/CheckIndia?RegistrationNumber={}&username=<username>" .format(ch))
u... | normal | {
"blob_id": "87a62f76027e0653f6966f76a42def2ce2a26ba3",
"index": 5893,
"step-1": "<mask token>\n",
"step-2": "print('content-type: text/html')\nprint()\n<mask token>\nprint(output)\n",
"step-3": "print('content-type: text/html')\nprint()\n<mask token>\ndb = cgi.FieldStorage()\nch = db.getvalue('ch')\nurl = (... | [
0,
1,
2,
3,
4
] |
from EdgeState import EdgeState
from rest_framework import serializers
from dzTrafico.BusinessLayer.TrafficAnalysis.TrafficAnalyzer import TrafficAnalyzer, VirtualRampMetering
from dzTrafico.BusinessEntities.Location import LocationSerializer
from dzTrafico.BusinessLayer.SimulationCreation.NetworkManager import Network... | normal | {
"blob_id": "892c363c247177deb3297af84a93819a69e16801",
"index": 8907,
"step-1": "from EdgeState import EdgeState\nfrom rest_framework import serializers\nfrom dzTrafico.BusinessLayer.TrafficAnalysis.TrafficAnalyzer import TrafficAnalyzer, VirtualRampMetering\nfrom dzTrafico.BusinessEntities.Location import Loca... | [
0
] |
#!/usr/bin/env python
# -*- coding:UTF-8 -*-
'''
@Description: 数据库迁移
@Author: Zpp
@Date: 2020-03-30 11:01:56
@LastEditors: Zpp
@LastEditTime: 2020-04-28 09:55:26
'''
import sys
import os
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath)
from flask impor... | normal | {
"blob_id": "69ebdab4cd1f0b5154305410381db252205ff97d",
"index": 9768,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append(rootPath)\n<mask token>\nmanager.add_command('db', MigrateCommand)\nif __name__ == '__main__':\n manager.run()\n",
"step-3": "<mask token>\ncurPath = os.path.abspath(... | [
0,
1,
2,
3,
4
] |
from mesa import Model
from mesa.space import SingleGrid
from mesa.time import BaseScheduler, RandomActivation, SimultaneousActivation
from pdpython_model.fixed_model.agents import PDAgent
from mesa.datacollection import DataCollector
class PDModel(Model):
schedule_types = {"Sequential": BaseScheduler,
... | normal | {
"blob_id": "446c438b79f9957289fa85f21516c13d67e2cfaf",
"index": 3270,
"step-1": "<mask token>\n\n\nclass PDModel(Model):\n <mask token>\n <mask token>\n\n def make_agents(self):\n for i in range(self.number_of_agents):\n x, y = self.coordinates.pop(0)\n pdagent = PDAgent((x... | [
3,
5,
6,
7,
8
] |
# 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 os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from keras.models import load_model
from utils import resize_to_fit, clear_chunks, stack_windows
from imutils import paths
import numpy as np
import imutils
import cv2 as cv2
import pickle
from tqdm import tqdm
c1_correct = 0
c2_correct = 0
c3_correct = 0
c4_correct ... | normal | {
"blob_id": "c2ddf31bce4a5f3ae2b0d5455bbc9942f92bff40",
"index": 275,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(MODEL_LABELS_FILENAME, 'rb') as f:\n lb = pickle.load(f)\n<mask token>\nfor root, dirs, files in os.walk(CAPTCHA_IMAGE_FOLDER):\n for name in tqdm(files, desc='Solving capt... | [
0,
1,
2,
3,
4
] |
import aiohttp
import asyncio
import base64
import discord
import json
from discord.ext import commands
class BasicMC(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.session = aiohttp.ClientSession()
@commands.command(name="stealskin", aliases=["skinsteal", "skin"])
@command... | normal | {
"blob_id": "a6f242a0443ffbad835f86098b70ede41c03515b",
"index": 7652,
"step-1": "<mask token>\n\n\nclass BasicMC(commands.Cog):\n <mask token>\n\n @commands.command(name='stealskin', aliases=['skinsteal', 'skin'])\n @commands.cooldown(1, 4, commands.BucketType.user)\n async def skinner(self, ctx, ga... | [
1,
2,
3,
4,
5
] |
"""
Find two distinct numbers in values whose sum is equal to 100.
Assign one of them to value1 and the other one to value2.
If there are several solutions, any one will be marked as correct.
Optional step to check your answer:
Print the value of value1 and value2.
"""
values = [72, 50, 48, 50, 7, 66, 62... | normal | {
"blob_id": "c0ebf10b8c0cb4af11608cafcdb85dbff4abdf90",
"index": 4755,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor x in values:\n for y in values:\n if x + y == 100 and x != y:\n value1 = x\n value2 = y\nprint(value1)\nprint(value2)\n",
"step-3": "<mask token>\nva... | [
0,
1,
2,
3
] |
import sys
import json
import eventlet
import datetime
import flask
from flask import Flask
from flask import render_template
__version__ = 0.1
PORT = 8000
HOST = '0.0.0.0'
DEBUG = False
RELDR = False
app = Flask(__name__)
app.config['SECRET_KEY'] = 'secretkey'
@app.route('/login/')
def login():
return render_tem... | normal | {
"blob_id": "a945d7f673d009a59e597cd3c99a886094ea9e57",
"index": 2639,
"step-1": "<mask token>\n\n\n@app.route('/login/')\ndef login():\n return render_template('login.html', name=None)\n\n\n@app.route('/chat/')\ndef chat():\n return render_template('chat.html', name=None)\n\n\n@app.route('/messages/')\nde... | [
3,
4,
5,
6
] |
'''
Created on Dec 23, 2011
@author: boatkrap
'''
import kombu
from kombu.common import maybe_declare
from . import queues
import logging
logger = logging.getLogger(__name__)
import threading
cc = threading.Condition()
class Publisher:
def __init__(self, exchange_name, channel, routing_key=None):
s... | normal | {
"blob_id": "8205541dcdd4627a535b14c6775f04b80e7c0d15",
"index": 3354,
"step-1": "<mask token>\n\n\nclass Publisher:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass TopicPublisher(Publisher):\n\n def __init__(self, exchange_name, channel, routing_key=None):... | [
7,
9,
12,
13,
15
] |
import json
import sys
from pkg_resources import resource_string
# Load a package data file resource as a string. This
_conf = json.loads(resource_string(__name__, 'conf.json'))
# Load a data file specified in "package_data" setup option for this pkg.
_pkg_data = resource_string(__name__, 'data/pkg1.dat')
# Load a d... | normal | {
"blob_id": "4689ee7f7178cef16ac1f5375481a9ee8a48f924",
"index": 3780,
"step-1": "<mask token>\n\n\ndef hello():\n print(_conf['greeting'])\n print(_pkg_data)\n print(_sys_data)\n\n\n<mask token>\n",
"step-2": "<mask token>\ntry:\n _sys_data = open(sys.prefix + '/data/data1.dat').read()\nexcept Exc... | [
1,
2,
3,
4,
5
] |
from app import db
class OrgStaff(db.Model):
__tablename__ = 'org_staff'
id = db.Column(db.Integer, primary_key=True)
user_id = db.Column(db.Integer, db.ForeignKey('users.id', ondelete="CASCADE"))
invited_by = db.Column(db.Integer, db.ForeignKey('users.id', ondelete="CASCADE"))
org_id = db.Column(... | normal | {
"blob_id": "b0f92b5e4cc972aca84a29b4568e85836f155273",
"index": 3774,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass OrgStaff(db.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask to... | [
0,
1,
2,
3,
4
] |
from access.ssh.session import Client
from access.ssh.datachannel import DataChannel
| normal | {
"blob_id": "967c8348352c805b926643617b88b03a62df2d16",
"index": 2271,
"step-1": "<mask token>\n",
"step-2": "from access.ssh.session import Client\nfrom access.ssh.datachannel import DataChannel\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
# -*- coding: utf-8 -*-
pessoas=int(input('Digite o numero de pessoas que passa pela esada rolante:'))
for i in range(1,n+1,1):
tempo=int(input('Digite o tempo:'))
if i==1:
tempo1=tempo
elif i==n:
f=tempo+10
X=f-tempo1
print(x) | normal | {
"blob_id": "f98120d191e9e4b92984a6b59b25b1331b5d8c3a",
"index": 1970,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(1, n + 1, 1):\n tempo = int(input('Digite o tempo:'))\n if i == 1:\n tempo1 = tempo\n elif i == n:\n f = tempo + 10\n<mask token>\nprint(x)\n",
"st... | [
0,
1,
2,
3
] |
"""Datasets, Dataloaders, and utils for dataloading"""
from enum import Enum
import torch
from torch.utils.data import Dataset
class Partition(Enum):
"""Names of dataset partitions"""
TRAIN = 'train'
VAL = 'val'
TEST = 'test'
class RandomClassData(Dataset):
"""Standard normal distributed feature... | normal | {
"blob_id": "4c0c88f46c2d4607d9ac00755bf122e847ea2f6a",
"index": 6221,
"step-1": "<mask token>\n\n\nclass Partition(Enum):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass RandomClassData(Dataset):\n \"\"\"Standard normal distributed features and uniformly sampled discrete ta... | [
6,
7,
8,
9,
10
] |
# Generated by Django 2.2.10 on 2020-05-06 14:43
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('planner', '0023_auto_20191226_1330'),
]
operations = [
migrations.AddField(
model_name='employee'... | normal | {
"blob_id": "c7558486fc50623f6e64b58668153b75bb6149b9",
"index": 6613,
"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 = [('planner', '... | [
0,
1,
2,
3,
4
] |
import multiprocessing
name = "flask_gunicorn"
workers = multiprocessing.cpu_count() * 2 + 1
loglevel = "debug"
bind = f"0.0.0.0:18080"
| normal | {
"blob_id": "2ad326f739b42b9c7c252078b8c28e90da17b95d",
"index": 1802,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nname = 'flask_gunicorn'\nworkers = multiprocessing.cpu_count() * 2 + 1\nloglevel = 'debug'\nbind = f'0.0.0.0:18080'\n",
"step-3": "import multiprocessing\nname = 'flask_gunicorn'\nworke... | [
0,
1,
2,
3
] |
from .. import dataclass # trigger the register in the dataclass package
| normal | {
"blob_id": "681750dbf489a6a32e9ef1d6f64d493cc252b272",
"index": 6386,
"step-1": "<mask token>\n",
"step-2": "from .. import dataclass\n",
"step-3": "from .. import dataclass # trigger the register in the dataclass package\r\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
# 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 to in writing, software
# d... | normal | {
"blob_id": "9fa1dab7cb0debf363ae0864af1407c87aad063a",
"index": 4926,
"step-1": "<mask token>\n\n\nclass TestUtils(test.NoDBTestCase):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestUtils(test.NoDBTestCase):\n <mask token>\n\n def test_compare_multiple(s... | [
1,
2,
4,
5,
6
] |
from django import forms
from django.forms import inlineformset_factory
from django.utils.translation import ugettext, ugettext_lazy as _
from django.contrib.auth.models import User
from django.conf import settings
from django.db.models import Max
from auction.models import *
from datetime import *
from decimal import ... | normal | {
"blob_id": "5215b5e4efe2e126f18b3c4457dc3e3902923d49",
"index": 6360,
"step-1": "<mask token>\n\n\nclass UserForm(forms.ModelForm):\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n model = User\n fields = 'first_name', 'last_name', 'email'\n <mask token>\n <mask t... | [
10,
11,
15,
16,
17
] |
#!/usr/bin/python3
"""Unittest for max_integer([..])
"""
import unittest
max_integer = __import__('6-max_integer').max_integer
class TestMaxInteger(unittest.TestCase):
""" Interactive tests """
def test_max(self):
"""Tests max_integer"""
self.assertEqual(max_integer([1, 2, 3]), 3)
self... | normal | {
"blob_id": "f799fdfde537bbe8f6c49a5e1a15cf6f910a0d45",
"index": 889,
"step-1": "<mask token>\n\n\nclass TestMaxInteger(unittest.TestCase):\n <mask token>\n\n def test_max(self):\n \"\"\"Tests max_integer\"\"\"\n self.assertEqual(max_integer([1, 2, 3]), 3)\n self.assertEqual(max_intege... | [
2,
3,
5,
6,
7
] |
#!/usr/bin/python
#
# @name = 'fmsrutil.py'
#
# @description = "F-MSR utilities module."
#
# @author = ['YU Chiu Man', 'HU Yuchong', 'TANG Yang']
#
import sys
import os
import random
from finitefield import GF256int
from coeffvector import CoeffVector
from coeffvector import CoeffMatrix
import common
#Check if C l... | normal | {
"blob_id": "0ebd19079a16a6e3da34da2ecfda0d159b8580b2",
"index": 9527,
"step-1": "<mask token>\n\n\ndef getNativeBlockNum(n, k):\n \"\"\"Get number of native blocks.\"\"\"\n return k * (n - k)\n\n\n<mask token>\n\n\ndef getNodeIdList(n, k):\n \"\"\"Find the node id for a segment of blocks.\"\"\"\n \"... | [
10,
12,
13,
15,
16
] |
botName = "firstBot"
username = "mrthemafia"
password = "oblivion"
client_id = "Y3LQwponbEp07w"
client_secret = "R4oyCEj6hSTJWHfWMwb-DGUOBm8"
| normal | {
"blob_id": "3031f695d57492cf3b29694fecd0a41c469a3e00",
"index": 7481,
"step-1": "<mask token>\n",
"step-2": "botName = 'firstBot'\nusername = 'mrthemafia'\npassword = 'oblivion'\nclient_id = 'Y3LQwponbEp07w'\nclient_secret = 'R4oyCEj6hSTJWHfWMwb-DGUOBm8'\n",
"step-3": "botName = \"firstBot\"\nusername = \"m... | [
0,
1,
2
] |
# orm/relationships.py
# Copyright (C) 2005-2023 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
"""Heuristics related to join conditions as used in
:func:`_orm.relationship`.... | normal | {
"blob_id": "5f8303ce91c5de779bbddbaafb3fb828596babe5",
"index": 8669,
"step-1": "<mask token>\n\n\nclass JoinCondition:\n primaryjoin_initial: Optional[ColumnElement[bool]]\n primaryjoin: ColumnElement[bool]\n secondaryjoin: Optional[ColumnElement[bool]]\n secondary: Optional[FromClause]\n prop: ... | [
44,
79,
88,
99,
100
] |
"""tables
Revision ID: 35f6815c3112
Revises: None
Create Date: 2013-07-28 21:15:38.385006
"""
# revision identifiers, used by Alembic.
revision = '35f6815c3112'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
op... | normal | {
"blob_id": "9989d31dfe13809d67f629cc283cd02ce354a74e",
"index": 115,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.create_table('users', sa.Column('id', sa.Integer(), nullable=False),\n sa.Column('firstname', sa.String(length=64), nullable=True), sa.\n Column('lastname', sa.String(length=64)... | [
1,
2,
3,
4,
5
] |
# 总管buffer和policy
from os import path
import torch
import torch.nn as nn
import torch.optim as optim
import torch.distributions as distributions
import numpy as np
from torch.serialization import load
import global_var as gv
torch.set_default_dtype(gv.torch_default_type)
class PG_Agent(object):
def __init__(
... | normal | {
"blob_id": "b2cfd397e48213a540608fc232db2eab282935bb",
"index": 1481,
"step-1": "<mask token>\n\n\nclass PG_Agent(object):\n\n def __init__(self, env, policy: torch.nn.modules.container.Sequential,\n learning_rate: float, n_policy: int, n_episode: int, max_timesteps: int\n ) ->None:\n su... | [
6,
7,
8,
10,
11
] |
from rest_framework.views import APIView
from django.shortcuts import get_object_or_404
from rest_framework.response import Response
from django.contrib.auth import logout
from rest_framework import status
from rest_framework.authtoken.models import Token
from .serilizer import UserSerializer
class RegistrationView(AP... | normal | {
"blob_id": "6a5a6bdb0740d51426aa8b36dd3cc317103412b1",
"index": 641,
"step-1": "<mask token>\n\n\nclass LogoutView(APIView):\n\n def get(self, request):\n logout(request)\n return Response({'response': 'logged out'}, status=status.HTTP_200_OK)\n",
"step-2": "<mask token>\n\n\nclass Registrati... | [
2,
4,
5,
6,
7
] |
import numpy as np
import mysql.connector
from mysql.connector import Error
import matplotlib.pyplot as plt
def readData():
connection = mysql.connector.connect(host='localhost',database='cad_ultrasound',user='root',password='')
sql_select_Query = "SELECT id_pasien,nama,pathdata FROM datasets"
cu... | normal | {
"blob_id": "4d7696c832f9255fbc68040b61fde12e057c06fa",
"index": 3899,
"step-1": "<mask token>\n\n\ndef getFiturEkstraksi():\n connection = mysql.connector.connect(host='localhost', database=\n 'cad_ultrasound', user='root', password='')\n cursor = connection.cursor()\n sql_select_Query = 'SELECT... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
#
# RPi.Spark KeyButton Demo
#
# Author: Kunpeng Zhang
# 2018.6.6
#
# See LICENSE for details.
from time import sleep
import RPi.GPIO as GPIO
from JMRPiSpark.Drives.Key.RPiKeyButtons import RPiKeyButtons
from JMRPiSpark.Drives.Key.RPiKeyButtons import DEF_BOUNCE_TIME_SHORT_MON
from JMRPiSpark.... | normal | {
"blob_id": "50c274e0365f2556a46eb58edcd1f0a7301e89db",
"index": 8716,
"step-1": "<mask token>\n\n\nclass demo:\n <mask token>\n\n def __init__(self):\n self._myKey = RPiKeyButtons()\n\n def _getKeyButtonName(self, keyBtn):\n if keyBtn == CONFIG_KEY.BUTTON_ACT_A:\n return 'BUTTO... | [
6,
12,
15,
16,
17
] |
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.... | normal | {
"blob_id": "889d465ceeac57a600b2fa3bd26632edcd90a655",
"index": 2911,
"step-1": "<mask token>\n\n\nclass Example(QWidget):\n\n\n class A(QWidget):\n\n def __init__(self):\n super().__init__()\n self.initUI()\n\n def initUI(self):\n self.setGeometry(300, 300, 300... | [
7,
8,
11,
16,
17
] |
from django import forms
class PasswordChangeForm(forms.Form):
password = forms.CharField(min_length=8,
label="New Password*",
strip=False,
widget=forms.PasswordInput(
attrs={'autocomple... | normal | {
"blob_id": "85fff1f6e1f69dd0e2e9b5acc90db31d27329c7c",
"index": 3352,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PasswordChangeForm(forms.Form):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass PasswordChangeForm(forms.Form):\n password = forms.CharField(min_length=8, label='N... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('location', '0005_auto_20170303_1625'),
]
operations = [
migrations.RemoveField(
... | normal | {
"blob_id": "ca7b3b5df860d3c3fb0953857ad950affdcc671d",
"index": 9311,
"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 = [('location', ... | [
0,
1,
2,
3,
4
] |
from django.core.cache import cache
from rest_framework import serializers
from thenewboston.constants.crawl import (
CRAWL_COMMAND_START,
CRAWL_COMMAND_STOP,
CRAWL_STATUS_CRAWLING,
CRAWL_STATUS_NOT_CRAWLING,
CRAWL_STATUS_STOP_REQUESTED
)
from v1.cache_tools.cache_keys import CRAWL_CACHE_LOCK_KEY, ... | normal | {
"blob_id": "cb32aa6a1c42e7bb417999f3f6f74ec22209c5a0",
"index": 1230,
"step-1": "<mask token>\n\n\nclass CrawlSerializer(serializers.Serializer):\n <mask token>\n <mask token>\n\n def create(self, validated_data):\n \"\"\"Start a network crawl\"\"\"\n crawl = validated_data['crawl']\n ... | [
4,
5,
6,
7,
8
] |
from torch import nn
class MNIST3dModel(nn.Module):
def __init__(self, input_c=3, num_filters=8, num_classes=10):
super().__init__()
self.conv1 = nn.Conv3d(in_channels=input_c, out_channels=
num_filters, kernel_size=3, stride=1, padding=1)
self.conv2 = nn.Conv3d(in_channels=nu... | normal | {
"blob_id": "f6838906c961a9ca7d91d2ab02fd2af72797b880",
"index": 4628,
"step-1": "<mask token>\n\n\nclass MNIST3dModel(nn.Module):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass MNIST3dModel(nn.Module):\n <mask token>\n\n def forward(self, x):\n x = self.conv1(x)\n ... | [
1,
2,
3,
4
] |
#!/usr/bin/env python
#
# Copyright (C) 2016 The Android Open Source Project
#
# 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 req... | normal | {
"blob_id": "2ea335dd8d879731aad7713499440db6d1f60d36",
"index": 2427,
"step-1": "<mask token>\n\n\nclass ArchiveParserTest(unittest.TestCase):\n <mask token>\n <mask token>\n <mask token>\n\n def testReadFile(self):\n \"\"\"Tests that file is read correctly.\n\n Tests that correctly fo... | [
2,
3,
6,
7,
8
] |
from django.db import models
from skills.models import skill
from offres.models import Offer
# Create your models here.
class OfferRequirement(models.Model):
skill = models.ForeignKey(skill, on_delete=models.DO_NOTHING ,default="")
offer = models.ForeignKey(Offer , on_delete=models.CASCADE, default="") | normal | {
"blob_id": "3640f1df412b43b42fb4e856604508f698a208ad",
"index": 6385,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass OfferRequirement(models.Model):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass OfferRequirement(models.Model):\n skill = models.ForeignKey(skill... | [
0,
1,
2,
3,
4
] |
from AStar import astar
def main():
grid = [[0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 1, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0,... | normal | {
"blob_id": "ba483c7eaf2f2ced7f70a14b53c781f190585024",
"index": 1257,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n grid = [[0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 1, 0, 0, 0, 0, 0],\n [0, 0, 1, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 1, 0, 0, 0, 0, 0], [0,\n 0, 0, 0,... | [
0,
1,
2,
3,
4
] |
"""helloworld URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
https://docs.djangoproject.com/zh-hans/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add ... | normal | {
"blob_id": "a470aad80e47b244811e4d9aed4a630ba36a8daf",
"index": 4112,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls), path('', include(\n 'blog.urls', namespace='blog')), url('^hello/([0-9]{4})/$', view.hello),\n url('^ifor/', view.ifor)]\n<mask token... | [
0,
1,
2,
3
] |
__author__ = 'tcaruso'
# !/usr/bin/env python
# -*- coding: utf-8 -*-
import glob
import fnmatch
import os
import sys
import warnings
from shutil import rmtree
from setuptools import find_packages, setup, Command
from collections import namedtuple
try:
from pip._internal.req import parse_requirements
except Impo... | normal | {
"blob_id": "58438a1fb0b9e620717ba262c25a43bfbf6b8824",
"index": 8100,
"step-1": "<mask token>\n\n\nclass UploadCommand(Command):\n <mask token>\n description = 'Build and publish the package.'\n user_options = []\n\n def initialize_options(self):\n pass\n\n def finalize_options(self):\n ... | [
6,
7,
9,
10,
11
] |
a = 2
while a == 1:
b = source()
c = function(b)
| normal | {
"blob_id": "56cae7b7a0338bd4a405cdc3cdcd9945a9df8823",
"index": 5839,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile a == 1:\n b = source()\n<mask token>\n",
"step-3": "a = 2\nwhile a == 1:\n b = source()\nc = function(b)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1... | [
0,
1,
2
] |
from django.contrib import admin
from pages.blog.models import Blog
admin.site.register(Blog)
| normal | {
"blob_id": "534aaf8371707089522af014a93f3ff6c4f913ff",
"index": 8510,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(Blog)\n",
"step-3": "from django.contrib import admin\nfrom pages.blog.models import Blog\nadmin.site.register(Blog)\n",
"step-4": null,
"step-5": null,
"step-... | [
0,
1,
2
] |
# @description Exporting outline (boundary faces) of zsoil results to vtu
# @input zsoil results
# @output vtu unstructured grid
# @author Matthias Preisig
# @date 2017/10/10
import numpy as np
from zsoil_tools import zsoil_results as zr
from zsoil_tools import vtktools
pathname = r'\\192.168.1.51\Mandats sur H RAI... | normal | {
"blob_id": "fb6dd9ec7d8dc80eace90dadc2112c7c27125efd",
"index": 2055,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nres.read_rcf()\nres.read_his()\n<mask token>\nfor kt, step in enumerate(res.steps):\n if step.conv_status in [-1]:\n if step.time in tx:\n tsteps.append(kt)\n<mask to... | [
0,
1,
2,
3,
4
] |
"""Restaurant"""
def main():
"""Restaurant"""
moeny = int(input())
service = moeny*0.1
vat = moeny*0.07
print("Service Charge : %.2f Baht" %service)
print("VAT : %.2f Baht" %vat)
print("Total : %.2f Baht" %(moeny+vat+service))
main()
| normal | {
"blob_id": "ae6cbb181e024b8c0b222d14120b910919f8cc81",
"index": 3811,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n \"\"\"Restaurant\"\"\"\n moeny = int(input())\n service = moeny * 0.1\n vat = moeny * 0.07\n print('Service Charge : %.2f Baht' % service)\n print('VAT... | [
0,
1,
2,
3
] |
queries = []
for n in range(2, 51):
for k in range(n, n * n + 1):
queries.append((n, k))
print(len(queries))
for n, k in queries:
print(n, k)
| normal | {
"blob_id": "798d5c68a0aa2057c28d7f333905f20fef965d70",
"index": 2850,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor n in range(2, 51):\n for k in range(n, n * n + 1):\n queries.append((n, k))\nprint(len(queries))\nfor n, k in queries:\n print(n, k)\n",
"step-3": "queries = []\nfor n ... | [
0,
1,
2
] |
import json
import sqlite3
import time
import shelve
import os
from constants import *
VEC_TYPES = [
'''
CREATE TABLE "{}"
(ID TEXT PRIMARY KEY NOT NULL,
num TEXT NOT NULL);
''',
'''
CREATE TABLE "{}"
(ID INT PRIMARY KEY NOT NULL,
num TEXT NOT NULL);
''... | normal | {
"blob_id": "0a6cb6d3fad09ab7f0e19b6c79965315c0e0d634",
"index": 4793,
"step-1": "<mask token>\n\n\nclass Vector:\n\n def __init__(self, name, type, url_path):\n self._name = name\n self._conn = sqlite3.connect(url_path)\n self._cur = self._conn.cursor()\n self._cur.execute(\"SELEC... | [
3,
6,
8,
9,
10
] |
#1. Create a greeting for your program.
print("Welcome to the Band Name Generator")
#2. Ask the user for the city that they grew up in.
city = input("Which city did you grew up in?\n")
#3. Ask the user for the name of a pet.
pet = input("What is the name of the pet?\n")
#4. Combine the name of their city and pet an... | normal | {
"blob_id": "19962e94afdd3edf298b28b9954f479fefa3bba8",
"index": 8656,
"step-1": "<mask token>\n",
"step-2": "print('Welcome to the Band Name Generator')\n<mask token>\nprint('Your band name could be ', Band_name)\n",
"step-3": "print('Welcome to the Band Name Generator')\ncity = input('Which city did you ... | [
0,
1,
2,
3
] |
from django.conf.urls import url
from .import views
app_name='user'
# user子路由
urlpatterns = [
# user首页
url(r'^$',views.index,name='index'),
# 用户登录
url('login/', views.login, name='login'),
# 用户注册
url('regist/', views.regist, name='regist'),
# 根据id判断用户是否存在
url(r'^getuser\w*/(?P<id>\... | normal | {
"blob_id": "de7b5e44c5c213e4ab70b0f8c0c402edaf4926e0",
"index": 211,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'user'\nurlpatterns = [url('^$', views.index, name='index'), url('login/', views.\n login, name='login'), url('regist/', views.regist, name='regist'), url(\n '^getuser\\\\... | [
0,
1,
2,
3
] |
from flask import Blueprint, request, make_response
from untils import restful, cacheuntil
from untils.captcha import Captcha
from exts import smsapi
from .forms import SMSCaptchaForm
from io import BytesIO
bp = Blueprint('common', __name__, url_prefix='/c')
# @bp.route('/sms_captcha/', methods=['post'])
# def sms_c... | normal | {
"blob_id": "856beaf3b9dad333d5b48c1be3a8ad917f8d020c",
"index": 3634,
"step-1": "<mask token>\n\n\n@bp.route('/captcha/')\ndef CaptchaView():\n text, image = Captcha.gene_graph_captcha()\n cacheuntil.set(text.lower(), text.lower())\n out = BytesIO()\n image.save(out, 'png')\n out.seek(0)\n res... | [
1,
2,
3,
4,
5
] |
#! /usr/bin/env python3
__all__ = [
'FrameCorners',
'CornerStorage',
'build',
'dump',
'load',
'draw',
'without_short_tracks'
]
import click
import cv2
import numpy as np
import pims
from _corners import FrameCorners, CornerStorage, StorageImpl
from _corners import dump, load, draw, withou... | normal | {
"blob_id": "0b5fb649dc421187820677ce75f3cd0e804c18a3",
"index": 7055,
"step-1": "<mask token>\n\n\nclass _CornerStorageBuilder:\n\n def __init__(self, progress_indicator=None):\n self._progress_indicator = progress_indicator\n self._corners = dict()\n\n def set_corners_at_frame(self, frame, ... | [
10,
12,
14,
15,
17
] |
# Copyright (c) 2019 Jannika Lossner
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, dis... | normal | {
"blob_id": "e30bd33ae18881307e7cf4f60d3c60eae91573bc",
"index": 181,
"step-1": "<mask token>\n\n\nclass MultiSpeakerBRIR(SimpleFreeFieldHRIR):\n <mask token>\n <mask token>\n <mask token>\n\n def add_metadata(self, database):\n super().add_metadata(database)\n database.Data.Type = 'FIR... | [
2,
3,
4,
5,
6
] |
import re
import cgi
import os
import urllib
import urllib2
from time import sleep
from google.appengine.api import taskqueue
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
from google.appengine.ext import db
from google.appengine.api import urlfetch
from google.ap... | normal | {
"blob_id": "c8a6a8633f863e0350157346106a747096d26939",
"index": 9912,
"step-1": "<mask token>\n\n\nclass lexicon0(db.Model):\n word = db.StringProperty(required=True)\n known = db.StringListProperty(indexed=False)\n\n\n<mask token>\n\n\ndef getjp(before, wordlist, after):\n global REQUESTURL\n wordl... | [
13,
14,
17,
21,
22
] |
import pandas
class _RegressionModelTable(object):
def __init__(self, regression_models, function_to_evaluate_model=None, function_to_select_model=None):
if not isinstance(regression_models, list):
regression_models = [regression_models]
self._check_model_inputs(regression_models, fu... | normal | {
"blob_id": "94264e121bb31a08cbd9766be1ff16173d2838ed",
"index": 5331,
"step-1": "<mask token>\n\n\nclass _RegressionModelTable(object):\n\n def __init__(self, regression_models, function_to_evaluate_model=None,\n function_to_select_model=None):\n if not isinstance(regression_models, list):\n ... | [
6,
7,
8,
13,
14
] |
def filter(txt): # can be improved using regular expression
output = []
for t in txt:
if t == "(" or t == ")" or t == "[" or t == "]":
output.append(t)
return output
result = []
while True:
raw_input = input()
line = filter(raw_input)
if raw_input != ".":
stack = []
err = False
for l in line:
... | normal | {
"blob_id": "9ca769ae8bbabee20b5dd4d75ab91d3c30e8d1bf",
"index": 8387,
"step-1": "<mask token>\n",
"step-2": "def filter(txt):\n output = []\n for t in txt:\n if t == '(' or t == ')' or t == '[' or t == ']':\n output.append(t)\n return output\n\n\n<mask token>\n",
"step-3": "def fi... | [
0,
1,
2,
3,
4
] |
"""PriceTrail URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | normal | {
"blob_id": "06627821c09d02543974a3c90664e84e11c980ed",
"index": 7631,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^admin/', admin.site.urls), url('^logout/$', auth_views\n .logout, {'next_page': '/'}, name='logout'), url('^$', index_view, name\n ='index'), url('^login/$', lo... | [
0,
1,
2,
3
] |
from flask import Flask,Response,render_template,url_for,request,jsonify
from flask_bootstrap import Bootstrap
import pandas as pd
import gpt_2_simple as gpt2
import json
app = Flask(__name__)
Bootstrap(app)
#Main Page
@app.route('/')
def interactive_input():
return render_template('main.html')
#Creating the diff... | normal | {
"blob_id": "1e41cc5d2661f1fb4f3a356318fabcb2b742cbdf",
"index": 1826,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef interactive_input():\n return render_template('main.html')\n\n\n@app.route('/food_1_star')\ndef food_1_star():\n return render_template('food_1.html')\n\n\n<mask token>\n\n\n@app.route('... | [
6,
7,
9,
11,
13
] |
#!/usr/bin/env python
#coding:utf-8
"""
Author: Wusf --<wushifan221@gmail.com>
Purpose:
Created: 2016/2/29
"""
import os,sys,sqlite3
MyQtLibPath = os.path.abspath("D:\\MyQuantLib\\")
sys.path.append(MyQtLibPath)
import PCA.PCA_For_Stat_Arb2 as pca
import pandas as pd
import numpy as np
import time
def Compu... | normal | {
"blob_id": "70cda2d6d3928cd8008daf221cd78665a9b05eea",
"index": 7064,
"step-1": "#!/usr/bin/env python\n#coding:utf-8\n\"\"\"\n Author: Wusf --<wushifan221@gmail.com>\n Purpose: \n Created: 2016/2/29\n\"\"\"\n\nimport os,sys,sqlite3\nMyQtLibPath = os.path.abspath(\"D:\\\\MyQuantLib\\\\\")\nsys.path.append(M... | [
0
] |
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
import data_helpers
def write_to_file(file,line):
file.write(line+"\n")
def cat_map():
catmap={}
id=1
f=open("cat")
cat=set([s.strip() for s in list(f.readlines())])
for i in cat:
catmap[i]=id
id=id+1
return c... | normal | {
"blob_id": "04538cc5c9c68582cc9aa2959faae2d7547ab2ee",
"index": 302,
"step-1": "<mask token>\n\n\ndef write_to_file(file, line):\n file.write(line + '\\n')\n\n\n<mask token>\n",
"step-2": "try:\n import xml.etree.cElementTree as ET\nexcept ImportError:\n import xml.etree.ElementTree as ET\n<mask toke... | [
1,
3,
4,
5,
6
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# ユークリッド距離
# http://en.wikipedia.org/wiki/Euclidean_space
# 多次元空間中での 2 点間の距離を探索する
def euclidean(p,q):
sumSq=0.0
# 差の平方を加算
for i in range(len(p)):
sumSq+=(p[i]-q[i])**2
# 平方根
return (sumSq**0.5)
#print euclidean([3,4,5],[4,5,6])
| normal | {
"blob_id": "11a7ebac3dad1f91a6d46b62f557b51ded8e3d7a",
"index": 1271,
"step-1": "<mask token>\n",
"step-2": "def euclidean(p, q):\n sumSq = 0.0\n for i in range(len(p)):\n sumSq += (p[i] - q[i]) ** 2\n return sumSq ** 0.5\n",
"step-3": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n# ユーク... | [
0,
1,
2
] |
import torch
class Activation(torch.nn.Module):
def __init__(self):
super().__init__()
self.swish = lambda x: x * torch.sigmoid(x)
self.linear = lambda x: x
self.sigmoid = lambda x: torch.sigmoid(x)
self.neg = lambda x: -x
self.sine = lambda x: torch.sin(x)
self.params = torch.nn.Parameter(torch.zero... | normal | {
"blob_id": "850310b6c431981a246832e8a6f5417a88587b99",
"index": 3151,
"step-1": "<mask token>\n\n\nclass ResizableConv2d(torch.nn.Module):\n <mask token>\n\n def forward(self, x):\n y = self.conv(x)\n y = self.conv2(y)\n y = self.resize(y)\n y = y + self.resize(self.residual_co... | [
10,
11,
12,
14,
16
] |
import numpy as np
import scipy.io as sio
import os
import torch
from torchvision.utils import save_image
from tools import *
def test(config, base, loaders, brief):
compute_and_save_features(base, loaders)
results = evalutate(config, base, brief)
return results
def evalutate(config, base, brief=False):
re... | normal | {
"blob_id": "b21796a9e10314f80cac3151d1fdbb139966303f",
"index": 5555,
"step-1": "<mask token>\n\n\ndef test(config, base, loaders, brief):\n compute_and_save_features(base, loaders)\n results = evalutate(config, base, brief)\n return results\n\n\ndef evalutate(config, base, brief=False):\n results =... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
from django.db import models
from backend.models.account import Account
from string import Template
out = Template("$account: $parts")
class Group(models.Model):
name = models.CharField(max_length=100)
class GroupParticipation(models.Model):
account = models.ForeignKey(Account, r... | normal | {
"blob_id": "11337f6f9cf22ba6fbed68dfcb7a07fb6368e94e",
"index": 6350,
"step-1": "<mask token>\n\n\nclass GroupParticipation(models.Model):\n account = models.ForeignKey(Account, related_name='groups')\n parts = models.FloatField(default=1.0)\n group = models.ForeignKey(Group, related_name='participants... | [
3,
4,
6,
7,
8
] |
from collections import defaultdict
def k_most_frequent(arr:list, k:int):
''' '''
counts = defaultdict(int)
for n in nums:
counts[n] += 1
counts = [(k,v) for k,v in counts.items()]
ordered = list(reversed(sorted(counts, key=lambda d: d[1])))
return [o[0] for o in ordered[:k]]
num... | normal | {
"blob_id": "1298c2abae519a5365cc0d9d406196db987eb219",
"index": 5923,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef k_most_frequent(arr: list, k: int):\n \"\"\" \"\"\"\n counts = defaultdict(int)\n for n in nums:\n counts[n] += 1\n counts = [(k, v) for k, v in counts.items()]... | [
0,
2,
3,
4,
5
] |
from django.conf.urls import patterns, url
from riskDashboard2 import views
urlpatterns = patterns('',
#url(r'getdata', views.vulnData, name='getdata'),
url(r'appmanagement', views.appmanagement, name='appmanagement'),
url(r'^.*', views.index, name='index'),
)
| normal | {
"blob_id": "3372d98ff91d90558a87293d4032820b1662d60b",
"index": 298,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url('appmanagement', views.appmanagement, name=\n 'appmanagement'), url('^.*', views.index, name='index'))\n",
"step-3": "from django.conf.urls import patte... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 2 08:04:11 2019
@author: yocoy
"""
import serial, time
arduino = serial.Serial('COM7', 9600)
time.sleep(4)
lectura = []
for i in range(100):
lectura.append(arduino.readline())
arduino.close()
print(lectura) | normal | {
"blob_id": "d514413c303dd174d8f56685158780a1681e1aba",
"index": 7925,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntime.sleep(4)\n<mask token>\nfor i in range(100):\n lectura.append(arduino.readline())\narduino.close()\nprint(lectura)\n",
"step-3": "<mask token>\narduino = serial.Serial('COM7', 9... | [
0,
1,
2,
3,
4
] |
# Copyright (c) 2016, the GPyOpt Authors
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from scipy.special import erfc
import time
from ..core.errors import InvalidConfigError
def compute_integrated_acquisition(acquisition,x):
'''
Used to compute the acquisition function when s... | normal | {
"blob_id": "4e7cfbf51ec9bad691d8dd9f103f22728cf5e952",
"index": 1229,
"step-1": "<mask token>\n\n\ndef compute_integrated_acquisition(acquisition, x):\n \"\"\"\n Used to compute the acquisition function when samples of the hyper-parameters have been generated (used in GP_MCMC model).\n\n :param acquisi... | [
7,
9,
12,
15,
16
] |
import math
def is_prime(n):
# Based on the Sieve of Eratosthenes
if n == 1:
return False
if n < 4:
# 2 and 3 are prime
return True
if n % 2 == 0:
return False
if n < 9:
# 5 and 7 are prime (we have already excluded 4, 6 and 8)
return True
if n %... | normal | {
"blob_id": "3970c7768e892ad217c193b1d967c1203b7e9a25",
"index": 6512,
"step-1": "<mask token>\n\n\ndef is_prime(n):\n if n == 1:\n return False\n if n < 4:\n return True\n if n % 2 == 0:\n return False\n if n < 9:\n return True\n if n % 3 == 0:\n return False\n ... | [
1,
2,
3,
4,
5
] |
# coding: utf-8
import re
import numpy as np
from sklearn.manifold import TSNE
import word2vec
from matplotlib import pyplot as plt
from adjustText import adjust_text
import nltk
'''
word2vec.word2phrase('all.txt', 'phrases.txt', verbose=True)
word2vec.word2vec('phrases.txt', 'text.bin', size=100, verbose=True)
word2ve... | normal | {
"blob_id": "31996699bec6507d941eb8a7aaacffbd6248d79c",
"index": 7112,
"step-1": "<mask token>\n\n\ndef plot_scatter(x, y, texts, adjust=False):\n fig, ax = plt.subplots()\n ax.plot(x, y, 'bo')\n texts = [plt.text(x[i], y[i], texts[i]) for i in range(len(x))]\n if adjust:\n plt.title(str(adjus... | [
1,
2,
3,
4,
5
] |
####################################################################
# a COM client coded in Python: talk to MS-Word via its COM object
# model; uses either dynamic dispatch (run-time lookup/binding),
# or the static and faster type-library dispatch if makepy.py has
# been run; install the windows win32all extensions... | normal | {
"blob_id": "df19aa720993c2385a6d025cf7ec8f3935ee4191",
"index": 9343,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(argv) == 2:\n docdir = argv[1]\n<mask token>\nspot.InsertBefore('Hello COM client world!')\nnewdoc.SaveAs(docdir + 'pycom.doc')\nnewdoc.SaveAs(docdir + 'copy.doc')\nnewdoc.Close... | [
0,
1,
2,
3,
4
] |
"""Config for a linear regression model evaluated on a diabetes dataset."""
from dbispipeline.evaluators import GridEvaluator
import dbispipeline.result_handlers as result_handlers
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from nlp4musa2020.dataloaders.alf200k import ALF200... | normal | {
"blob_id": "473c653da54ebdb7fe8a9eefc166cab167f43357",
"index": 3994,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndataloader = ALF200KLoader(path='data/processed/dataset-lfm-genres.pickle',\n load_feature_groups=['rhymes', 'statistical', 'statistical_time',\n 'explicitness', 'audio'], text_vect... | [
0,
1,
2,
3
] |
from abc import ABCMeta, abstractmethod
from datetime import datetime
from enum import Enum
from application.response import ResponseError
class ModelBase:
__metaclass__ = ABCMeta
@classmethod
@abstractmethod
def _get_cls_schema(cls):
pass
def __new__(cls, schema):
if schema is ... | normal | {
"blob_id": "5917c891d2885f779dc33f189f1a875efbd0c302",
"index": 163,
"step-1": "<mask token>\n\n\nclass ModelBase:\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, schema):\n self.schema = schema\n <mask token>\n\n @property\n def uid(self):\n return self.sc... | [
6,
8,
9,
12,
13
] |
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Post(models.Model):
title = models.CharField(max_length=40)
content = models.TextField()
date_published = models.DateTimeField(auto_now=True)
author = models.ForeignKey(User, on_delete=models.CASCA... | normal | {
"blob_id": "1257b90781a213ca8e07f67a33b8e847d0525653",
"index": 9354,
"step-1": "<mask token>\n\n\nclass Comment(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.user.username\n\n\nclass Comment_to_comment(models.Model):\n u... | [
7,
10,
11,
12,
13
] |
'''
Написати програму, що визначає, яка з двох
точок знаходиться ближче до початку координат.
'''
import re
re_number = re.compile("^[-+]?\d+\.?\d*$")
def validator(pattern,promt):
text=input(promt)
while not bool(pattern.match(text)):
text = input(promt)
return text
def number_validator(promt)... | normal | {
"blob_id": "2d5993489ff3120d980d29edbb53422110a5c039",
"index": 3561,
"step-1": "<mask token>\n\n\ndef validator(pattern, promt):\n text = input(promt)\n while not bool(pattern.match(text)):\n text = input(promt)\n return text\n\n\ndef number_validator(promt):\n number = float(validator(re_nu... | [
3,
4,
5,
6,
7
] |
import json
import tempfile
import zipfile
from contextlib import contextmanager
from utils import (
codepipeline_lambda_handler,
create_zip_file,
get_artifact_s3_client,
get_cloudformation_template,
get_input_artifact_location,
get_output_artifact_location,
get_session,
get_user_parame... | normal | {
"blob_id": "4c59e5fab2469af3f40cafaac226a993f6628290",
"index": 3624,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@codepipeline_lambda_handler\ndef lambda_handler(event, context):\n \"\"\"\n Prepares for an AMI deployment.\n\n \"\"\"\n job = event['CodePipeline.job']\n input_bucket... | [
0,
1,
2,
3,
4
] |
import struct
def parse(message):
return IGENMessage.from_bytes(message)
class IGENMessage(object):
def __init__(self):
self.serial = None
self.temperature = None
self.pv1 = 0
self.pv2 = 0
self.pv3 = 0
self.pa1 = 0
self.pa2 = 0
self.pa3 = 0
... | normal | {
"blob_id": "5df42a024e1edbe5cc977a814efe580db04b8b76",
"index": 2386,
"step-1": "<mask token>\n\n\nclass IGENMessage(object):\n\n def __init__(self):\n self.serial = None\n self.temperature = None\n self.pv1 = 0\n self.pv2 = 0\n self.pv3 = 0\n self.pa1 = 0\n s... | [
6,
7,
8,
9,
10
] |
from django.db import models
from NavigantAnalyzer.common import convert_datetime_string
import json
# A custom view-based model for flat outputs - RÖ - 2018-10-24
# Don't add, change or delete fields without editing the view in the Db
class Results_flat(models.Model):
race_id = models.IntegerField()
race_name... | normal | {
"blob_id": "802eb0502c5eddcabd41b2d438bf53a5d6fb2c82",
"index": 8368,
"step-1": "<mask token>\n\n\nclass Results_flat(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>... | [
1,
2,
3,
4,
5
] |
import sys
sys.path.append("/home/mccann/bin/python/obsolete")
from minuit import *
execfile("/home/mccann/antithesis/utilities.py")
nobeam = getsb("cos")
ebeam = getsb("bge")
pbeam = getsb("bgp")
import gbwkf
import gbwkftau
runstart = pickle.load(open("/home/mccann/antithesis/old_dotps/runstart.p"))
runend = pickle.... | normal | {
"blob_id": "51cd74bff5a0883a7bee2b61b152aecb2c5ccc66",
"index": 6263,
"step-1": "import sys\nsys.path.append(\"/home/mccann/bin/python/obsolete\")\n\nfrom minuit import *\nexecfile(\"/home/mccann/antithesis/utilities.py\")\nnobeam = getsb(\"cos\")\nebeam = getsb(\"bge\")\npbeam = getsb(\"bgp\")\nimport gbwkf\ni... | [
0
] |
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 1 10:18:11 2017
@author: Duong
"""
import pandas as pd
import matplotlib.pyplot as plt
import psycopg2
from pandas.core.frame import DataFrame
# DBS verbinden
database = psycopg2.connect(database="TeamYellow_election", user="student", password="pas... | normal | {
"blob_id": "076b852010ddcea69a294f9f2a653bb2fa2f2676",
"index": 3531,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncursor.execute(\n 'SELECT tweet_date, COUNT(*) FROM projekt_election.tweet as tweet , projekt_election.hashtag_use as use WHERE tweet.tweet_id = use.tweet_id GROUP BY tweet_date ORDER ... | [
0,
1,
2,
3,
4
] |
__author__ = 'Administrator'
import unittest
class CouchTests2(unittest.TestCase):
def test_foo(self):
self.assertEqual(1, 1)
def test_bar(self):
self.assertEqual(1, 1)
| normal | {
"blob_id": "cd4f22b8e2188e8019e7324e80d64a7b95f8f956",
"index": 1961,
"step-1": "<mask token>\n\n\nclass CouchTests2(unittest.TestCase):\n <mask token>\n\n def test_bar(self):\n self.assertEqual(1, 1)\n",
"step-2": "<mask token>\n\n\nclass CouchTests2(unittest.TestCase):\n\n def test_foo(self)... | [
2,
3,
4,
5
] |
# KeyLogger.py
# show a character key when pressed without using Enter key
# hide the Tkinter GUI window, only console shows
import Tkinter as tk
def key(event):
if event.keysym == 'Escape':
root.destroy()
print event.char, event.keysym
root = tk.Tk()
print "Press a key (Escape key to exit):"
root.bi... | normal | {
"blob_id": "368151a134f987ed78c8048521137672530b5cce",
"index": 1022,
"step-1": "# KeyLogger.py\n# show a character key when pressed without using Enter key\n# hide the Tkinter GUI window, only console shows\n\nimport Tkinter as tk\n\ndef key(event):\n if event.keysym == 'Escape':\n root.destroy()\n ... | [
0
] |
import os
import pytest
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver import Firefox
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.comm... | normal | {
"blob_id": "b6e28f29edd0c4659ab992b45861c4c31a57e7fd",
"index": 8920,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_gecko_driver():\n home_dir = os.getenv('HOME')\n return Firefox(executable_path=os.path.join(home_dir, 'bin', 'geckodriver')\n )\n\n\n@pytest.fixture\ndef driv... | [
0,
2,
3,
4,
5
] |
a=int(input())
s=0
t=0
while(a!=0):
t=a%10
s=s+t
a=a//10
print(s)
| normal | {
"blob_id": "6050e83e73faaf40cbd5455efd3ad01e4e131188",
"index": 2587,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile a != 0:\n t = a % 10\n s = s + t\n a = a // 10\nprint(s)\n",
"step-3": "a = int(input())\ns = 0\nt = 0\nwhile a != 0:\n t = a % 10\n s = s + t\n a = a // 10\npri... | [
0,
1,
2,
3
] |
"""
Class for manage tables in Storage and Big Query
"""
# pylint: disable=invalid-name, too-many-locals, too-many-branches, too-many-arguments,line-too-long,R0801,consider-using-f-string
from pathlib import Path
import json
from copy import deepcopy
import textwrap
import inspect
from io import StringIO
from loguru i... | normal | {
"blob_id": "da218e6d9ee311eefb8e9ae4dac5053793eb5514",
"index": 9369,
"step-1": "<mask token>\n\n\nclass Table(Base):\n <mask token>\n\n def __init__(self, dataset_id, table_id, **kwargs):\n super().__init__(**kwargs)\n self.table_id = table_id.replace('-', '_')\n self.dataset_id = da... | [
8,
12,
15,
16,
20
] |
class Image:
def __init__(self, **kwargs):
self.ClientID = kwargs['ClientID']
self.DealerID = kwargs['DealerID']
self.VIN = kwargs['VIN']
self.UrlVdp = None
self.PhotoURL = kwargs['PhotoURL']
self.VdpActive = None
def __repr__(self):
return f"{se... | normal | {
"blob_id": "3dc4e10145ad42c0168fec3462da0f87c1e661a5",
"index": 8701,
"step-1": "<mask token>\n\n\nclass VehiclePhoto:\n <mask token>\n\n def __repr__(self):\n return f'{self.VehiclePhotoID} {self.VIN} {self.UrlVdp}'\n",
"step-2": "class Image:\n <mask token>\n <mask token>\n\n\nclass Vehic... | [
2,
4,
5,
6,
7
] |
import sys
def main():
lines = [line.strip() for line in sys.stdin.readlines()]
h = lines.index("")
w = len(lines[0].split()[0])
start = 0
grids = set()
while start < len(lines):
grid = tuple(x.split()[0] for x in lines[start:start + h])
if len(grid) == h:
grids.add(grid)
start += h + 1
... | normal | {
"blob_id": "6ef8a174dcce633b526ce7d6fdb6ceb11089b177",
"index": 3652,
"step-1": "import sys\n\ndef main():\n lines = [line.strip() for line in sys.stdin.readlines()]\n h = lines.index(\"\")\n w = len(lines[0].split()[0])\n start = 0\n grids = set()\n while start < len(lines):\n grid = tuple(x.split()[0... | [
0
] |
import unittest
from unittest.mock import patch
from fsqlfly.db_helper import *
from fsqlfly.tests.base_test import FSQLFlyTestCase
class MyTestCase(FSQLFlyTestCase):
def test_positive_delete(self):
namespace = Namespace(name='iii')
self.session.add(namespace)
self.session.commit()
... | normal | {
"blob_id": "abbefb1e426408b32fa9e125c78b572de22dbb8c",
"index": 7493,
"step-1": "<mask token>\n\n\nclass MyTestCase(FSQLFlyTestCase):\n\n def test_positive_delete(self):\n namespace = Namespace(name='iii')\n self.session.add(namespace)\n self.session.commit()\n t = Transform(name=... | [
4,
5,
7,
9,
10
] |
################################################################################
# run_experiment.py #
# Ian Marci 2017 #
# Defines knn classifier and runs 4-fold cross validation on data in ... | normal | {
"blob_id": "dbc599a03d91f369d862f6cc90c31221747ead80",
"index": 2811,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith tf.Session() as sess:\n predictions = []\n labels = []\n accuracies = []\n for i in range(4):\n sess.run(init)\n choice = i + 1\n choose_test_set(str... | [
0,
1,
2,
3,
4
] |
from pet import Pet
class Ninja:
def __init__(self, first_name, last_name, treats, pet_food, pet):
self.first_name = first_name
self.last_name = last_name
self.treats = treats
self.pet_food = pet_food
self.pet = pet
def walk(self):
self.pet.play()
def fe... | normal | {
"blob_id": "b210784a198eaa3e57b5a65ec182a746aecc0e2b",
"index": 1695,
"step-1": "<mask token>\n\n\nclass Ninja:\n\n def __init__(self, first_name, last_name, treats, pet_food, pet):\n self.first_name = first_name\n self.last_name = last_name\n self.treats = treats\n self.pet_food ... | [
3,
5,
6,
7,
9
] |
#!/usr/bin/python
import glob
import pandas as pd
import numpy as np
manifest = pd.read_csv('./manifest.csv', sep=',', names=['projectId','records'], skiprows=[0])
mailTypes = pd.read_csv('./mail_types.csv', sep=',', names=['typeId','typeName'], skiprows=[0])
#----- mailTypes['typeId'] = pd.to_numeric(mailTypes['ty... | normal | {
"blob_id": "2ea33fd06be888db5cda86b345f535532d2a05b5",
"index": 4268,
"step-1": "#!/usr/bin/python \n\nimport glob\nimport pandas as pd\nimport numpy as np\n\nmanifest = pd.read_csv('./manifest.csv', sep=',', names=['projectId','records'], skiprows=[0])\nmailTypes = pd.read_csv('./mail_types.csv', sep=',', name... | [
0
] |
class Tienda:
def __init__(self, nombre_tienda, lista_productos = []):
self.nombre_tienda = nombre_tienda
self.lista_productos = lista_productos
def __str__(self):
return f"Nombre de la Tienda: {self.nombre_tienda}\nLista de Productos: {self.lista_productos}\n"
def anhadir_prod... | normal | {
"blob_id": "0ae5d20b78bf7c23418de55ffd4d81cd5284c6d5",
"index": 8912,
"step-1": "class Tienda:\n\n def __init__(self, nombre_tienda, lista_productos=[]):\n self.nombre_tienda = nombre_tienda\n self.lista_productos = lista_productos\n <mask token>\n\n def anhadir_producto(self, producto_nu... | [
4,
5,
6,
7,
8
] |
from colander_validators import (
email,
url)
def test_url():
assert url("ixmat.us") == True
assert url("http://bleh.net") == True
assert type(url("://ixmat.us")) == str
assert type(url("ixmat")) == str
def test_email():
assert email("barney@purpledino.com") == True
assert email("b... | normal | {
"blob_id": "40637c7a5e45d0fe4184478a1be2e08e5040c93b",
"index": 8931,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_email():\n assert email('barney@purpledino.com') == True\n assert email('barney.10.WHATDINO@purple.com') == True\n assert type(email('barney')) == str\n assert ty... | [
0,
1,
2,
3,
4
] |
from .hacker import HackerRegistrationPage
from .judge import JudgeRegistrationPage
from .mentor import MentorRegistrationPage
from .organizer import OrganizerRegistrationPage
from .user import UserRegistrationPage
| normal | {
"blob_id": "34f3212b0254cbcb5e1ca535a29d4fe820dcaad8",
"index": 2978,
"step-1": "<mask token>\n",
"step-2": "from .hacker import HackerRegistrationPage\nfrom .judge import JudgeRegistrationPage\nfrom .mentor import MentorRegistrationPage\nfrom .organizer import OrganizerRegistrationPage\nfrom .user import Use... | [
0,
1
] |
from django.db.backends.base.base import BaseDatabaseWrapper as BaseDatabaseWrapper
from typing import Any, Optional
def wrap_oracle_errors() -> None: ...
class _UninitializedOperatorsDescriptor:
def __get__(self, instance: Any, cls: Optional[Any] = ...): ...
class DatabaseWrapper(BaseDatabaseWrapper):
vendo... | normal | {
"blob_id": "829b8cd0b648d39c07c20fd1c401bf717ed5b9c4",
"index": 9682,
"step-1": "<mask token>\n\n\nclass OracleParam:\n force_bytes: Any = ...\n input_size: Any = ...\n\n def __init__(self, param: Any, cursor: Any, strings_only: bool=...) ->None:\n ...\n\n\nclass VariableWrapper:\n var: Any =... | [
16,
20,
25,
27,
31
] |
class Solution(object):
def maxDistToClosest(self, seats):
"""
:type seats: List[int]
:rtype: int
"""
start = 0
end = 0
length = len(seats)
max_distance = 0
for i in range(len(seats)):
seat = seats[i]
if seat == 1:
... | normal | {
"blob_id": "2b8b502381e35ef8e56bc150114a8a4831782c5a",
"index": 3819,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def maxDistToClosest(self, seats):\n \"\"\"\n :type seats: List[int]\n :rtype: int\n ... | [
0,
1,
2
] |
str = 'Hello world'
print ("字符串长度 : %d" %(len(str)))
print("字符串的长度 444：",len(str))
print (str)
print (str[0])
print (str[1:5])
print (str[:len(str)])
print (str[1:]*3)
print (str[1:]*5)
print ('字符串拼接')
print ("Hello" + "world")
#print （"python : str.join Test"）
str1 = "-"
print (str1.join(str))
list = [1,2,3... | normal | {
"blob_id": "77b7a0ae115aa063512ea7d6e91811470a4cf9d0",
"index": 2187,
"step-1": "\nstr = 'Hello world'\n\nprint (\"字符串长度 : %d\" %(len(str)))\nprint(\"字符串的长度 444：\",len(str))\nprint (str)\nprint (str[0])\nprint (str[1:5])\nprint (str[:len(str)])\nprint (str[1:]*3)\nprint (str[1:]*5)\n\nprint ('字符串拼接')\n\nprint (... | [
0
] |
import json
import requests
import itertools
import logging
from shared_code.config.setting import Settings
from TailwindTraderFunc.cognitiveservices import CognitiveServices
from shared_code.storage.storage import BlobStorageService
class TailwindTraders():
def __init__(self, req):
self._settings = Sett... | normal | {
"blob_id": "75ba2448897bed8388a7b8d876827461e1bc9dd7",
"index": 2809,
"step-1": "<mask token>\n\n\nclass TailwindTraders:\n\n def __init__(self, req):\n self._settings = Settings()\n self._cs = CognitiveServices()\n self._storage = BlobStorageService(self._settings.\n get_stor... | [
5,
6,
7,
8,
9
] |
# 001. 웹 서버에 요청하고 응답받기
# 학습 내용 : 웹 서버에 접속하여 웹 페이지 정보를 요청하고 서버로부터 응답 객체를 받는 과정을 이해한다.
# 힌트 내용 : requests 모듈의 get() 함수에 접속하려는 웹 페이지의 주소(URL)를 입력한다.
import requests
url = "https://www.python.org/"
resp = requests.get(url)
print(resp) # 200, 정상 동작
url2 = "https://www.python.org/1"
resp2 = requests.get(url2)
print(resp2)... | normal | {
"blob_id": "1af73c0ca38ea32119f622dc14741c0bb0aa08fd",
"index": 6344,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(resp)\n<mask token>\nprint(resp2)\n",
"step-3": "<mask token>\nurl = 'https://www.python.org/'\nresp = requests.get(url)\nprint(resp)\nurl2 = 'https://www.python.org/1'\nresp2 = r... | [
0,
1,
2,
3,
4
] |
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