code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from google.appengine.api import users
from google.appengine.ext import ndb
from datetime import datetime
from datetime import timedelta
import os
import logging
import webapp2
import jinja2
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.... | normal | {
"blob_id": "309090167c2218c89494ce17f7a25bd89320a202",
"index": 3855,
"step-1": "<mask token>\n\n\nclass UserProfile(ndb.Model):\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def query_profile(cls, ancestor_key):\n return cls.query(ancestor=ancestor_key).get()\n\n\nclass ... | [
5,
7,
8,
9,
10
] |
#!/usr/bin/python
import os
# http://stackoverflow.com/questions/4500564/directory-listing-based-on-time
def sorted_ls(path):
mtime = lambda f: os.stat(os.path.join(path, f)).st_mtime
return list(sorted(os.listdir(path), key=mtime))
def main():
print "Content-type: text/html\n\n"
print "<html><head><t... | normal | {
"blob_id": "f4715a1f59ceba85d95223ef59003410e35bfb7f",
"index": 4037,
"step-1": "#!/usr/bin/python\nimport os\n\n# http://stackoverflow.com/questions/4500564/directory-listing-based-on-time\ndef sorted_ls(path):\n mtime = lambda f: os.stat(os.path.join(path, f)).st_mtime\n return list(sorted(os.listdir(pa... | [
0
] |
from selenium import webdriver
from urllib.request import urlopen, Request
from subprocess import check_output
import json
#from flask import Flask
# https://data-live.flightradar24.com/zones/fcgi/feed.js?bounds=-32.27,-34.08,-73.15,-70.29
def get_json_aviones(north, south, west, east):
#driver = webdriver.Chrom... | normal | {
"blob_id": "9ba5af7d2b6d4f61bb64a055efb15efa8e08d35c",
"index": 5379,
"step-1": "<mask token>\n\n\ndef get_json_buques(centerx, centery, zoom):\n count = 0\n while True:\n ignore = False\n count += 1\n print(centerx, centery, zoom)\n out = check_output(['phantomjs', 'GetBarcos.... | [
1,
2,
3,
4,
5
] |
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... | normal | {
"blob_id": "d18c45c08face08ce8f7dad915f1896c24c95cbf",
"index": 2991,
"step-1": "<mask token>\n\n\nclass SampleAdmin(admin.ModelAdmin):\n inlines = [MultipleFileInline]\n prepopulated_fields = {'slug': ('heading',)}\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass MultipleFileInline(admin.Tabula... | [
2,
4,
5,
6,
7
] |
from ContactBook import ContactBook
import csv
def run():
contact_book = ContactBook()
with open("22_agenda/contactos.csv",'r') as f:
reader = csv.reader(f)
for idx,row in enumerate(reader):
if idx == 0:
continue
else:
contact_bo... | normal | {
"blob_id": "f5831b84c1177d8b869db05d332bd364b3f72fff",
"index": 4282,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run():\n contact_book = ContactBook()\n with open('22_agenda/contactos.csv', 'r') as f:\n reader = csv.reader(f)\n for idx, row in enumerate(reader):\n ... | [
0,
1,
2,
3,
4
] |
import numpy as np
from scipy import stats
a = np.random.normal(25.0, 5.0, 10000)
b = np.random.normal(26.0, 5.0, 10000)
print(stats.ttest_ind(a, b)) # bad change, with a ery low chance of randomness
b = np.random.normal(25.0, 5.0, 10000)
print(stats.ttest_ind(a, b)) # no change, outcome is likely random
| normal | {
"blob_id": "ba85f3c8a9e40f30076c13487a97567f7bc646dc",
"index": 8041,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(stats.ttest_ind(a, b))\n<mask token>\nprint(stats.ttest_ind(a, b))\n",
"step-3": "<mask token>\na = np.random.normal(25.0, 5.0, 10000)\nb = np.random.normal(26.0, 5.0, 10000)\npri... | [
0,
1,
2,
3,
4
] |
def sum_numbers(numbers=None):
sum = 0
if numbers == None:
for number in range(1, 101):
sum += number
return sum
for number in numbers:
sum += number
return sum
| normal | {
"blob_id": "a85d06d72b053b0ef6cb6ec2ba465bfb8975b28e",
"index": 3879,
"step-1": "<mask token>\n",
"step-2": "def sum_numbers(numbers=None):\n sum = 0\n if numbers == None:\n for number in range(1, 101):\n sum += number\n return sum\n for number in numbers:\n sum += num... | [
0,
1
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# All about users.
#
# author: ze.apollo@gmail.com
#
from client import ClientHelper
from mongodb import MongoDBClient
class FixedData:
def get_data( self, id ):
data = self.get_data_from_mongodb( id )
if ( data ):
return data
else:
... | normal | {
"blob_id": "b1530c664fa236e61ff50bca502bf79730c3386c",
"index": 6647,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass FixedData:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass FixedData:\n\n def get_data(self, id):\n data = self.get_data_from_mongodb(id)\n if data:\... | [
0,
1,
2,
3,
4
] |
n = int(input('Informe um numero: '))
print('----------------')
print('{} x {:2} = {:2}'.format(n, 1, 1 * n))
print('{} x {:2} = {:2}'.format(n, 2, 2 * n))
print('{} x {:2} = {:2}'.format(n, 3, 3 * n))
print('{} x {:2} = {:2}'.format(n, 4, 4 * n))
print('{} x {:2} = {:2}'.format(n, 5, 5 * n))
print('{} x {:2} = {:2}'.f... | normal | {
"blob_id": "9e814e3f1162e248c5d778c2df9960b199854a27",
"index": 9306,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('----------------')\nprint('{} x {:2} = {:2}'.format(n, 1, 1 * n))\nprint('{} x {:2} = {:2}'.format(n, 2, 2 * n))\nprint('{} x {:2} = {:2}'.format(n, 3, 3 * n))\nprint('{} x {:2} = ... | [
0,
1,
2
] |
#Array In Python
from array import array
numbers = array("i",[1,2,3])
numbers[0] = 0
print(list(numbers))
| normal | {
"blob_id": "ae5f87f1c383478ea5f370af1c85d63a472a7788",
"index": 455,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(list(numbers))\n",
"step-3": "<mask token>\nnumbers = array('i', [1, 2, 3])\nnumbers[0] = 0\nprint(list(numbers))\n",
"step-4": "from array import array\nnumbers = array('i', [1,... | [
0,
1,
2,
3,
4
] |
from typing import Sequence, Union, Tuple
import kdtree
from colour import Color
AnsiCodeType = Union[str, int, Tuple[int, int, int]]
class ColorPoint(object):
def __init__(self, source: Color, target: Color,
ansi: AnsiCodeType) -> None:
"""
Map source color to target color, st... | normal | {
"blob_id": "e239c2089fc6d4ab646c490b6e3de8953cec5634",
"index": 8093,
"step-1": "<mask token>\n\n\nclass ColorPoint(object):\n <mask token>\n <mask token>\n\n def __getitem__(self, item) ->float:\n \"\"\"\n >>> cp = ColorPoint(Color('#880073'), Color('white'), '')\n >>> cp[0] # hu... | [
7,
8,
9,
10,
12
] |
import sys
import numpy as np
from pymongo import MongoClient
from sklearn import linear_model, preprocessing
assert str(sys.argv[1]) is not None
client = MongoClient(str(sys.argv[1]))
db = client.nba_py
variables = ['0', '1', '2', '3', '4',
'5', '6', '7', '8', '9',
'10', '11', '12', '13',... | normal | {
"blob_id": "36682c4ab90cdd22b644906e22ede71254eb42ff",
"index": 2091,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nassert str(sys.argv[1]) is not None\n<mask token>\nfor k in ALPHA_VALS:\n total_train_error = 0\n total_train_variance = 0\n total_test_error = 0\n total_test_variance = 0\n ... | [
0,
1,
2,
3,
4
] |
import ssl
import sys
import psycopg2 #conectarte python con postresql
import paho.mqtt.client #pip install paho-mqtt
import json
conn = psycopg2.connect(host = 'raja.db.elephantsql.com', user= 'oyoqynnr', password ='myHVlpJkEO21o29GKYSvMCGI3g4y05bh', dbname= 'oyoqynnr')
def on_connect(client, userdata, flags, r... | normal | {
"blob_id": "f1b36e3ce3189c8dca2e41664ac1a6d632d23f79",
"index": 5078,
"step-1": "<mask token>\n\n\ndef on_connect(client, userdata, flags, rc):\n print('Conectado (%s)' % client._client_id)\n client.subscribe(topic='unimet/#', qos=0)\n\n\ndef ventasTIENDA(client, userdata, message):\n a = json.loads(me... | [
3,
4,
5,
6,
7
] |
from netsec_2017.Lab_3.packets import RequestItem, RequestMoney, RequestToBuy, FinishTransaction, SendItem, SendMoney
from netsec_2017.Lab_3.PLS.client import PLSClient, PLSStackingTransport
from netsec_2017.Lab_3.peepTCP import PeepClientTransport, PEEPClient
import asyncio
import playground
import random, logging
fro... | normal | {
"blob_id": "a12f9435eb4b090bc73be14ad64fdf43c5caa4d2",
"index": 7471,
"step-1": "<mask token>\n\n\nclass ShopClientProtocol(asyncio.Protocol):\n <mask token>\n <mask token>\n\n def connection_made(self, transport):\n print('ShopClient connection_made is called\\n')\n self.transport = tran... | [
5,
7,
9,
10,
12
] |
from django.shortcuts import render
import codecs
import os.path
from django.conf import settings
OFFSET = 20
def show_raw_data(req):
filename = req.GET['file']
lineno = int(req.GET['line'])
from_lineno = max(0, lineno - OFFSET)
to_lineno = (lineno + OFFSET)
ctx = dict()
cur_lineno = 1
lin... | normal | {
"blob_id": "576c28bb32b5e0b2b5a82a33cee73e3080dcf3ab",
"index": 1737,
"step-1": "<mask token>\n\n\ndef show_raw_data(req):\n filename = req.GET['file']\n lineno = int(req.GET['line'])\n from_lineno = max(0, lineno - OFFSET)\n to_lineno = lineno + OFFSET\n ctx = dict()\n cur_lineno = 1\n lin... | [
4,
5,
6,
7,
8
] |
from django.db import transaction
from django.forms import inlineformset_factory
from django.shortcuts import render
from django.urls import reverse_lazy
from django.views.generic import CreateView, UpdateView
from forms.models.fund_operation import FundOperation
from forms.forms.fund_operation_forms import FundOperati... | normal | {
"blob_id": "3c2fb3d09edab92da08ac8850f650a2fa22fad92",
"index": 8806,
"step-1": "<mask token>\n\n\nclass FundOperationCreateView(CreateView):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def form_valid(self, form):\n context = self.get_context_data()\n ... | [
9,
10,
11,
12,
14
] |
import os
import RPi.GPIO as GPIO
from google.cloud import firestore
import time
############Explicit Credential environment
path="/home/pi/Desktop/Parking.json"
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] =path
#GPIO starts
s1=2
s2=21
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(s1,GPIO.IN)
GPIO.... | normal | {
"blob_id": "e1cc4e17bffcbbae3e7785e4c55acde167a8a50a",
"index": 6482,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nGPIO.setmode(GPIO.BCM)\nGPIO.setwarnings(False)\nGPIO.setup(s1, GPIO.IN)\nGPIO.setup(s2, GPIO.IN)\n<mask token>\nwhile 1:\n if GPIO.input(s1) == False:\n data1 = 1\n coun... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (C) 2011 Eficent (<http://www.eficent.com/>)
# Jordi Ballester Alomar <jordi.ballester@eficent.com>
#
# This program is free software: you can redistribute it and/or modify
# it und... | normal | {
"blob_id": "1ddec426e4ad50f1d0e8a57ed841fbdf8c51b00f",
"index": 9871,
"step-1": "<mask token>\n\n\nclass tax(osv.Model):\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass tax(osv.Model):\n _inherit = 'sgr.tax'\n\n def send_alerts(self, cr, uid... | [
1,
5,
6,
7,
8
] |
from django.shortcuts import render
# from emaillist.models import Emaillist
from emaillist.models import Emaillist
from django.http import HttpResponseRedirect
# Create your views here.
# def index(request):
# emaillist_list = Emaillist.objects.all().order_by('-id') # db에서 objects 전체를 불러와서 변수에 저장
# data =... | normal | {
"blob_id": "5220ad793788927e94caf7d6a42df11292851c67",
"index": 2734,
"step-1": "<mask token>\n\n\ndef test_form(request):\n print('test 함수 실행하자 ')\n return render(request, 'emaillist/test_form.html')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_form(request):\n print('test 함수 실행하자 ')\... | [
1,
2,
3,
4,
5
] |
import pandas as pd
df = pd.read_csv("search.csv")
df0 = df[df['re_0']<df['re_1']]
df1 = df[df['re_0']>df['re_1']].ix[:, ['re_1', 'im_1', 're_0', 'im_0']]
df1.columns = ['re_0', 'im_0', 're_1', 'im_1']
df = pd.concat([df0, df1]).sort_values(by=["re_0"])
eps = pow(10.0, -4.0)
first = True
res = []
val_old = None
fo... | normal | {
"blob_id": "709e54daea4fea112539af3da83b00a43a086399",
"index": 2629,
"step-1": "import pandas as pd\n\ndf = pd.read_csv(\"search.csv\")\n\n\ndf0 = df[df['re_0']<df['re_1']]\ndf1 = df[df['re_0']>df['re_1']].ix[:, ['re_1', 'im_1', 're_0', 'im_0']]\ndf1.columns = ['re_0', 'im_0', 're_1', 'im_1']\ndf = pd.concat(... | [
0
] |
import unittest
from app.party import Party
from app.guest import Guest
from app.shoppingList import ShoppingList
def test_aPartywithNoGuestsShouldHaveNoPartyGuests():
party = Party()
assert 0 == party.numberOfGuests()
def test_aPartywithOneGuestShouldHaveOnePartyGuest():
party = Party()
lisa = Guest("Lisa", 'fe... | normal | {
"blob_id": "a8df6b575afbf6db415e0676a796623f2a9b7a70",
"index": 8416,
"step-1": "<mask token>\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuest... | [
6,
8,
9,
10,
12
] |
#!/usr/bin/env python
# including libraries
import roslib
import sys
import rospy
import cv2
import math
from std_msgs.msg import String
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
import numpy as np
import matplotlib.pyplot as plt
MAP = np.array([[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,... | normal | {
"blob_id": "b30e6af035b589d5f4bd1bc6cccdd53c157861a0",
"index": 2144,
"step-1": "#!/usr/bin/env python\n\n# including libraries\nimport roslib\nimport sys\nimport rospy\nimport cv2\nimport math\nfrom std_msgs.msg import String\nfrom sensor_msgs.msg import Image\nfrom cv_bridge import CvBridge, CvBridgeError\nim... | [
0
] |
import requests
import json
ROOT_URL = "http://localhost:5000"
def get_all_countries():
response = requests.get("{}/countries".format(ROOT_URL))
return response.json()["countries"]
def get_country_probability(countryIds):
body = {"countryIds": countryIds}
response = requests.get("{}/countries/probability".format... | normal | {
"blob_id": "6aa7114db66a76cfa9659f5537b1056f40f47bd2",
"index": 3975,
"step-1": "<mask token>\n\n\ndef get_all_countries():\n response = requests.get('{}/countries'.format(ROOT_URL))\n return response.json()['countries']\n\n\ndef get_country_probability(countryIds):\n body = {'countryIds': countryIds}\... | [
11,
12,
15,
17,
18
] |
#!/usr/bin/env python2.7
'''
lib script to encapsulate the camera info
'''
from xml.dom import minidom, Node
# what % of the file system remains before deleting files
# amount that we will cleanup relative to the filesystem total
CAMERA_XML_FILE = "/tmp/cameras.xml"
def cameras_get_info():
'''
cameras_ge... | normal | {
"blob_id": "510d411d79d5df8658703241f161b3e2a9ec5932",
"index": 4110,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef cameras_get_info():\n \"\"\"\n cameras_get_info - reads the camera info from the XML file and\n puts it into a python data structure and returns it.\n \"\"\"\n stat... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
# @Time : 2018/6/11 下午6:45
# @Author : zhanzecheng
# @File : 542.01矩阵1.py
# @Software: PyCharm
"""
# 一个简单的循环方式来解决这个问题
# 这一题的思路不错，用多次循环来计数
# TODO: check 1
class Solution:
def updateMatrix(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: List[List[in... | normal | {
"blob_id": "1145050d82e614d5c248fc7e6a71720e6ff72414",
"index": 6055,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def updateMatrix(self, matrix):\n \"\"\"\n :type matrix: Li... | [
0,
1,
2,
3,
4
] |
# Let's look at the lowercase letters.
import string
alphabet = " " + string.ascii_lowercase
| normal | {
"blob_id": "da3be0d3b815e11d292a7c7e8f5ce32b35580f98",
"index": 1016,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nalphabet = ' ' + string.ascii_lowercase\n",
"step-3": "import string\nalphabet = ' ' + string.ascii_lowercase\n",
"step-4": "# Let's look at the lowercase letters.\nimport string\nalp... | [
0,
1,
2,
3
] |
class TflearnDataSourceExtraTemplate(object):
"""
Base class for TFLearn's DataSource (if we use wrapping).
Parameters:
----------
rewrite_data_aug : bool
use wrapper for data augmentation
"""
def __init__(self, rewrite_data_aug=False):
self.rewrite_data_aug = rewrite_data_... | normal | {
"blob_id": "70c084dab8469ca34b0e3e5174101111e695f1ca",
"index": 6638,
"step-1": "<mask token>\n",
"step-2": "class TflearnDataSourceExtraTemplate(object):\n <mask token>\n <mask token>\n",
"step-3": "class TflearnDataSourceExtraTemplate(object):\n <mask token>\n\n def __init__(self, rewrite_data... | [
0,
1,
2,
3
] |
# Copyright (c) 2017, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import unittest
from distutils.version import StrictVersion
import numpy as np
from coremltools._deps ... | normal | {
"blob_id": "d3d90b8ccd0ec449c84ac0316c429b33353f4518",
"index": 8900,
"step-1": "<mask token>\n\n\n@unittest.skipIf(not _HAS_SKLEARN, 'Missing sklearn. Skipping tests.')\nclass ImputerTestCase(unittest.TestCase):\n <mask token>\n\n @classmethod\n def setUpClass(self):\n \"\"\"\n Set up th... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/env python3
import argparse
from speaker.main import run
def parse_args():
parser = argparse.ArgumentParser(description='Network speaker device.')
parser.add_argument('-d', '--debug', action='store_true',
help='enable debugging messages')
parser.add_argument('--host', t... | normal | {
"blob_id": "bb173d8869039f8bbd3e35529cf2d99b26d2b8ff",
"index": 7130,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Network speaker device.')\n parser.add_argument('-d', '--debug', action='store_true', help=\n 'enable de... | [
0,
1,
2,
3,
4
] |
# Generated by Django 2.1.7 on 2019-03-23 17:14
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('currency_exchange', '0007_auto_20190323_1751'),
]
operations = [
migrations.AddField(
model_name='tasks',
name='hour... | normal | {
"blob_id": "1f63ce2c791f0b8763aeae15df4875769f6de848",
"index": 4942,
"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 = [('currency_ex... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
from typing import ClassVar, List
print(1, 2)
# Annotated function (Issue #29)
def foo(x: int) -> int:
return x + 1
# Annotated variables #575
CONST: int = 42
class Class:
cls_var: ClassVar[str]
def m(self):
xs: List[int] = []
# True and False are keywords in Python ... | normal | {
"blob_id": "689c6c646311eba1faa93cc72bbe1ee4592e45bc",
"index": 8392,
"step-1": "<mask token>\n\n\ndef foo(x: int) ->int:\n return x + 1\n\n\n<mask token>\n\n\nclass Class:\n cls_var: ClassVar[str]\n\n def m(self):\n xs: List[int] = []\n\n\n<mask token>\n\n\ndef a():\n pass\n\n\n<mask token>\... | [
5,
7,
8,
10,
13
] |
from __future__ import annotations
from functools import cache
class Solution:
def countArrangement(self, n: int) -> int:
cache = {}
def helper(perm):
digits = len(perm)
if digits == 1:
return 1
if perm in cache:
return cache[per... | normal | {
"blob_id": "e6acc7b022001d8419095ad6364a6ae9504ec7aa",
"index": 508,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\nclass Solution:\n\n def countArrangement(self, n: int) ->int:\n\n @cache\n def dfs(bm, i):\n if i == 0:\n return 1\n cnt ... | [
5,
6,
7,
8,
10
] |
import argparse
import pandas as pd
import random
import time
class Deck:
def __init__(self, num_cols, front, back):
self.flashcards = []
self.num_cols = num_cols
self.front = front
self.back = back
class Flashcard:
def __init__(self, deck, front, back, column, row):
self.deck = deck
self.front = front
... | normal | {
"blob_id": "d5903698eb8ed6be531b0cc522d4feff6b79da4e",
"index": 954,
"step-1": "<mask token>\n\n\nclass Deck:\n\n def __init__(self, num_cols, front, back):\n self.flashcards = []\n self.num_cols = num_cols\n self.front = front\n self.back = back\n\n\nclass Flashcard:\n\n def _... | [
8,
17,
18,
19,
20
] |
import random
tree_age = 1
state = "alive"
value = 1
age_display = "Your tree have an age of: {}".format(tree_age)
state_display = "Your tree is {}.".format(state)
def tree_state(x):
if x <= 19:
state = "alive"
return state
elif x <= 49:
rand = random.randrange(tree_... | normal | {
"blob_id": "763f552329a0d38900e08081a1017b33cd882868",
"index": 9391,
"step-1": "<mask token>\n\n\ndef tree_state(x):\n if x <= 19:\n state = 'alive'\n return state\n elif x <= 49:\n rand = random.randrange(tree_age, 51, 1)\n if rand == 50:\n state = 'dead'\n ... | [
1,
2,
3,
4,
5
] |
# Getting familiar with OOP and using Functions and Classes :)
class Dog():
species = 'mammal'
def __init__(self,breed,name):
self.breed = breed
self.name = name
def bark(self,number):
print(f'Woof! My name is {self.name} and the number is {number}')
my_dog = Dog('Corgi'... | normal | {
"blob_id": "c8137aacfb0f35c9630515442d5bdda870e9908a",
"index": 4827,
"step-1": "<mask token>\n\n\nclass Circle:\n <mask token>\n\n def __init__(self, radius=1):\n self.radius = radius\n self.area = radius * radius * Circle.pi\n\n def get_circumference(self):\n return self.radius *... | [
10,
11,
13,
16,
18
] |
# -*- coding: utf-8 -*-
"""
openapi.schematics
~~~~~~~~~~~~~~~~~~
Schematics plugin for apispec based on ext.MarshmallowPlugin
"""
import warnings
from apispec import BasePlugin
from .common import resolve_schema_instance, make_schema_key
from .openapi import OpenAPIConverter
def resolver(schema):
"... | normal | {
"blob_id": "1c5655563d05498f016fb2d41a07331b9e8de5e8",
"index": 2019,
"step-1": "<mask token>\n\n\nclass SchematicsPlugin(BasePlugin):\n <mask token>\n\n def __init__(self, schema_name_resolver=None):\n super().__init__()\n self.schema_name_resolver = schema_name_resolver or resolver\n ... | [
9,
12,
13,
14,
16
] |
from utils import *
import copy
import torch.nn as nn
CUDA = torch.cuda.is_available()
def train_one_epoch(data_loader, net, loss_fn, optimizer):
net.train()
tl = Averager()
pred_train = []
act_train = []
for i, (x_batch, y_batch) in enumerate(data_loader):
if CUDA:
... | normal | {
"blob_id": "6ef78e4308f6e693f50df714a5d7af1785e49d7a",
"index": 7682,
"step-1": "<mask token>\n\n\ndef set_up(args):\n set_gpu(args.gpu)\n ensure_path(args.save_path)\n torch.manual_seed(args.random_seed)\n torch.backends.cudnn.deterministic = True\n\n\n<mask token>\n\n\ndef test(args, data, label, ... | [
2,
4,
6,
7,
8
] |
#!/usr/bin/env python3
import sys
import os
import math
import tempfile
import zlib
import lzma
import struct
import bitstruct
# a swf file unpacker and analyzer
# majority of information taken from https://www.adobe.com/devnet/swf.html (version 19)
# some additional information taken from https://github.com/cla... | normal | {
"blob_id": "4556febd5fddf390f370a8e24871eacf08d34c9f",
"index": 7087,
"step-1": "<mask token>\n\n\nclass SWFRect(object):\n\n def __init__(self, xmin, xmax, ymin, ymax):\n self.xmin = xmin\n self.xmax = xmax\n self.ymin = ymin\n self.ymax = ymax\n\n def __str__(self):\n ... | [
17,
18,
20,
22,
24
] |
#!/usr/bin/env python3
def GetDensity(T, P, config):
return P/(T*config["Flow"]["mixture"]["gasConstant"])
def GetViscosity(T, config):
if (config["Flow"]["mixture"]["viscosityModel"]["type"] == "Constant"):
viscosity = config["Flow"]["mixture"]["viscosityModel"]["Visc"]
elif (config["Flow"]["mixture"]... | normal | {
"blob_id": "0e47a7d9cd6809886674291d6a535dd18205a012",
"index": 5455,
"step-1": "<mask token>\n",
"step-2": "def GetDensity(T, P, config):\n return P / (T * config['Flow']['mixture']['gasConstant'])\n\n\n<mask token>\n",
"step-3": "def GetDensity(T, P, config):\n return P / (T * config['Flow']['mixtur... | [
0,
1,
2,
3
] |
from setuptools import setup
setup(
name='nodepool_harness',
version='0.1dev',
description='Nodepool harness',
packages=['nodepool_harness', 'statsd', 'apscheduler'],
install_requires=["PyYAML", "python-novaclient", "paramiko", "sqlalchemy"],
entry_points = {
'console_scripts': [
... | normal | {
"blob_id": "61ff5fae02d18d51595e8050d97244574e7d8af1",
"index": 6419,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='nodepool_harness', version='0.1dev', description=\n 'Nodepool harness', packages=['nodepool_harness', 'statsd',\n 'apscheduler'], install_requires=['PyYAML', 'python-nov... | [
0,
1,
2,
3
] |
import requests
import sxtwl
import datetime
from datetime import date
import lxml
from lxml import etree
# 日历中文索引
ymc = [u"十一", u"十二", u"正", u"二", u"三", u"四", u"五", u"六", u"七", u"八", u"九", u"十"]
rmc = [u"初一", u"初二", u"初三", u"初四", u"初五", u"初六", u"初七", u"初八", u"初九", u"初十", \
u"十一", u"十二", u"十三", u"十四", u"十五", u"十... | normal | {
"blob_id": "e1d0648825695584d3ea518db961a9178ea0c66a",
"index": 50,
"step-1": "<mask token>\n\n\ndef china_lunar():\n today = str(date.today())\n today_list = today.split('-')\n lunar_day = lunar.getDayBySolar(int(datetime.datetime.now().year), int(\n datetime.datetime.now().month), int(datetime... | [
4,
6,
7,
8,
9
] |
# Generated by Django 2.1.1 on 2019-11-20 12:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('sandbox_report', '0006_sandboxreportlink_sandboxreportval'),
]
operations = [
migrations.DeleteModel(
name='SandboxReportLink',
... | normal | {
"blob_id": "b92497396e711d705760db547b43cc65beba6cfd",
"index": 6172,
"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 = [('sandbox_rep... | [
0,
1,
2,
3,
4
] |
import socket
import threading
#WebSocket Server Address
WS_ADDR = ("127.0.0.1",9876)
def ws_handler(sock,addr):
print 'ws handshaking...'
print 'connected...'
print 'closing...'
def websocket_server():
print 'listening for a WS connection... '
svSock = socket.socket()
svSock.setsockopt(soc... | normal | {
"blob_id": "668fe3d561d94be73f2f721fac89e9e25005769b",
"index": 2652,
"step-1": "import socket\nimport threading\n\n#WebSocket Server Address\nWS_ADDR = (\"127.0.0.1\",9876)\n\n\ndef ws_handler(sock,addr):\n print 'ws handshaking...'\n print 'connected...'\n print 'closing...'\n\n\ndef websocket_server... | [
0
] |
import sys
import os
from pyparsing import *
import csv
def parse_cave_details(details):
##########################################################################
# Define the Bretz Grammar.
# Sample cave description:
# Boring Caverns SE1/4 NW1/4 sec. 16, T. 37 N., R. 10 W., Pulaski County ... | normal | {
"blob_id": "1fc1d2e1a7d18b1ef8ee6396210afe47a63ab09f",
"index": 3267,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_cave_details(details):\n aliquotQuadrantID = Literal('NE') | Literal('SE') | Literal('SW'\n ) | Literal('NW')\n aliquotQuadrantString = aliquotQuadrantID + Supp... | [
0,
1,
2,
3,
4
] |
from flask import Flask
import os
app = Flask(__name__)
@app.route("/healthz")
def healthz():
return "ok"
@app.route("/alive")
def alive():
return "ok"
@app.route("/hello")
# def healthz(): # introduces application crash bug
def hello():
myhost = os.uname()[1]
body = ("V1 - Hello World! - %s" % m... | normal | {
"blob_id": "0259fddbe3ce030030a508ce7118a6a03930aa51",
"index": 7375,
"step-1": "<mask token>\n\n\n@app.route('/healthz')\ndef healthz():\n return 'ok'\n\n\n@app.route('/alive')\ndef alive():\n return 'ok'\n\n\n@app.route('/hello')\ndef hello():\n myhost = os.uname()[1]\n body = 'V1 - Hello World! -... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-31 07:54
from __future__ import unicode_literals
import codenerix.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('codenerix_products', '0005_remove_p... | normal | {
"blob_id": "0aed35827e6579f7a9434d252d0b9150ab24adf9",
"index": 4573,
"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 = [('codenerix_p... | [
0,
1,
2,
3,
4
] |
from compas.geometry import Frame
| normal | {
"blob_id": "d4e3751b2d4796c72be497007fe4c7d8ca67e18e",
"index": 6874,
"step-1": "<mask token>\n",
"step-2": "from compas.geometry import Frame\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
class Error(Exception):
pass
class TunnelInstanceError(Error):
def __init__(self, expression, message):
self.expression = expression
self.message = message
class TunnelManagerError(Error):
def __init__(self, expression, message):
self.expression = expression
self.messag... | normal | {
"blob_id": "661b622708692bd9cd1b3399835f332c86e39bf6",
"index": 8835,
"step-1": "<mask token>\n\n\nclass TunnelManagerError(Error):\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TunnelManagerError(Error):\n\n def __init__(self, expression, message):\n self.expression = expression\n ... | [
1,
2,
3,
4,
5
] |
# dg_kernel plots
import os
import re
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import csv
import sys
NE_SIZE = 128
TITLE_SIZE = 35
TEXT_SIZE = 30
MARKER_SIZE = 10
LINE_WIDTH = 5
colors = { idx:cname for idx, cname in enumerate(mcolors.cnames) }
eventname = 'L1_DCM'
cal... | normal | {
"blob_id": "872b13a93c9aba55c143ee9891543f059c070a36",
"index": 4631,
"step-1": "# dg_kernel plots\n\nimport os\nimport re\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.colors as mcolors\nimport csv\nimport sys\n\nNE_SIZE = 128\nTITLE_SIZE = 35 \nTEXT_SIZE = 30 \nMARKER_SIZE = 10\nLINE... | [
0
] |
#!/usr/bin/env python
# coding:utf-8
import time
from SocketServer import (TCPServer as TCP,
StreamRequestHandler as SRH)
HOST = '127.0.0.1'
PORT = 8888
BUFSIZE = 1024
ADDR = (HOST, PORT)
class MyRequestHandler(SRH):
def handle(self):
print '...connected from :', self.client_addr... | normal | {
"blob_id": "377143635939cf113e4188b5c4f55cec068a17b1",
"index": 4171,
"step-1": "#!/usr/bin/env python\n# coding:utf-8\nimport time\nfrom SocketServer import (TCPServer as TCP,\n StreamRequestHandler as SRH)\n\nHOST = '127.0.0.1'\nPORT = 8888\nBUFSIZE = 1024\nADDR = (HOST, PORT)\n\nclas... | [
0
] |
#!/usr/bin/env python
################################################################################
#
# HDREEnable.py
#
# Version: 1.000
#
# Author: Gwynne Reddick
#
# Description:
#
#
# Usage:
#
# Last Update 16:49 08/12/10
#
################################################################################
# pa... | normal | {
"blob_id": "78a96020abfd393438c2fce1dfd5fd159a23ca5a",
"index": 9666,
"step-1": "<mask token>\n\n\ndef itemexists(name):\n lx.eval('select.item {%s} set' % name)\n selected = lx.evalN('item.name ?')\n return name in selected\n\n\ndef lockcamera():\n if not itemexists('HDRECam_Grp'):\n lx.eval... | [
6,
7,
9,
10,
11
] |
import socket
END = bytearray()
END.append(255)
print(END[0])
def recvall(sock): # Odbiór danych
BUFF_SIZE = 4096 # 4 KiB
data = b''
while True: # odbieramy dane, pakiety 4KiB
part = sock.recv(BUFF_SIZE)
data += part
if len(part) < BUFF_SIZE:
# 0 lub koniec danych
... | normal | {
"blob_id": "aa13278a4686e9bab7948c2f212f87f9bd6eee00",
"index": 969,
"step-1": "<mask token>\n\n\ndef recvall(sock):\n BUFF_SIZE = 4096\n data = b''\n while True:\n part = sock.recv(BUFF_SIZE)\n data += part\n if len(part) < BUFF_SIZE:\n break\n return data\n\n\n<mask... | [
5,
6,
8,
9,
10
] |
from pyramid.view import view_config, view_defaults
from ecoreleve_server.core.base_view import CRUDCommonView
from .individual_resource import IndividualResource, IndividualsResource, IndividualLocationsResource
@view_defaults(context=IndividualResource)
class IndividualView(CRUDCommonView):
@view_config(name='... | normal | {
"blob_id": "a3cfd507e30cf232f351fbc66d347aaca99a0447",
"index": 4059,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@view_defaults(context=IndividualResource)\nclass IndividualView(CRUDCommonView):\n <mask token>\n",
"step-3": "<mask token>\n\n\n@view_defaults(context=IndividualResource)\nclas... | [
0,
1,
2,
3
] |
../pyline/pyline.py | normal | {
"blob_id": "3fe98c865632c75c0ba0e1357379590f072bf662",
"index": 7840,
"step-1": "../pyline/pyline.py",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
} | [
0
] |
import pytest
from chess.board import Board, ImpossibleMove
from chess.pieces import King, Rook, Pawn, Knight
def test_board_has_32_pieces():
board = Board()
assert board.pieces_quantity() == 32
def test_board_can_be_instatiated_with_any_set_of_pieces():
board = Board(initial_pieces={'a2': Pawn('white'... | normal | {
"blob_id": "5f471fb75b1c4f6fc7aa4cb4f99f9c1a1a9f0ea1",
"index": 8595,
"step-1": "<mask token>\n\n\ndef test_board_can_be_instatiated_with_any_set_of_pieces():\n board = Board(initial_pieces={'a2': Pawn('white'), 'a6': Pawn('black')})\n assert board.pieces_quantity() == 2\n\n\ndef test_piece_cant_capture_a... | [
3,
7,
9,
10,
11
] |
'''Module main'''
import argparse
import api
import quoridor
import quoridorx
def analyser_commande():
'''Analyseur de ligne de commande.'''
parser = argparse.ArgumentParser(description='Jeu Quoridor - phase 3')
parser.add_argument("idul", help="IDUL du joueur.")
parser.add_argument("-l", '--lister'... | normal | {
"blob_id": "f69544a9123f1738cd7d21c1b4fc02dd73fb9d1b",
"index": 6008,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef analyser_commande():\n \"\"\"Analyseur de ligne de commande.\"\"\"\n parser = argparse.ArgumentParser(description='Jeu Quoridor - phase 3')\n parser.add_argument('idul', ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import argparse
import pymssql
import json
#get the lcmMediaId from DB.
def getMediaId(contentProviderMediaName):
#test db
conn = pymssql.connect(host='CHELLSSSQL23.karmalab.net', user='TravCatalog', password='travel', database='LodgingCatalogMaster_Phoenix')
#prod db
#conn = pyms... | normal | {
"blob_id": "a5b7f565a1797e5f326bcf26ff7c8ad2469dca70",
"index": 7442,
"step-1": "<mask token>\n\n\ndef getMediaId(contentProviderMediaName):\n conn = pymssql.connect(host='CHELLSSSQL23.karmalab.net', user=\n 'TravCatalog', password='travel', database=\n 'LodgingCatalogMaster_Phoenix')\n cur ... | [
1,
2,
3,
4,
5
] |
"""For logging training information to files."""
import os
def delete_log(file_path):
"""Delete a log file.
Args:
file_path: String, the full path to the log file.
Raises:
ValueError: if file not found.
"""
if os.path.exists(file_path):
print('Deleting log %s...' % file_path)... | normal | {
"blob_id": "1355c3abfd2683f6dc869703fdb79a04e264099c",
"index": 3421,
"step-1": "<mask token>\n\n\nclass Logger:\n <mask token>\n\n def __init__(self, file_path, print_too=True, override=False):\n \"\"\"Create a new Logger.\n\n Args:\n file_path: String, the full path to the target ... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from django.db import transaction
from ralph_scrooge.models import ProfitCenter
from ralph_scrooge.plugins import plugin_runner
... | normal | {
"blob_id": "d3f52d4713ba4b7b4cd736b26809968e259be63c",
"index": 6883,
"step-1": "<mask token>\n\n\n@plugin_runner.register(chain='scrooge')\ndef ralph3_profit_center(**kwargs):\n new_pc = total = 0\n for pc in get_from_ralph('profit-centers', logger):\n created = update_profit_center(pc)\n i... | [
1,
2,
3,
4,
5
] |
"""
- Define a new class Student which is derived from Human and has:
grade field.
do_hobby - print 'dancing' or some another hobby
"""
import andy.Lesson_7.exercise_1
class Student(andy.Lesson_7.exercise_1.Human):
def __init__(self, firstname, lastname, grade):
super().__init__(firstname, lastname)
... | normal | {
"blob_id": "497f56891670f635feff983058e86055e54be493",
"index": 2618,
"step-1": "<mask token>\n\n\nclass Student(andy.Lesson_7.exercise_1.Human):\n\n def __init__(self, firstname, lastname, grade):\n super().__init__(firstname, lastname)\n self.grade = grade\n\n def do_hobby(self):\n ... | [
3,
4,
5,
6,
7
] |
import glob
from collections import defaultdict
from stylalto.datasets.extractor import read_alto_for_training, extract_images_from_bbox_dict_for_training, split_dataset
data = defaultdict(list)
images = {}
for xml_path in glob.glob("./input/**/*.xml", recursive=True):
current, image = read_alto_for_training(xml_... | normal | {
"blob_id": "41e642c4acb212470577ef43908a1dcf2e0f5730",
"index": 7159,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor xml_path in glob.glob('./input/**/*.xml', recursive=True):\n current, image = read_alto_for_training(xml_path)\n images[image] = current\n for key in current:\n data[k... | [
0,
1,
2,
3,
4
] |
import cv2
# open webcam (웹캠 열기)
webcam = cv2.VideoCapture(0)
if not webcam.isOpened():
print("Could not open webcam")
exit()
sample_num = 0
captured_num = 0
# loop through frames
while webcam.isOpened():
# read frame from webcam
status, frame = webcam.read()
sample_num = s... | normal | {
"blob_id": "856a27e953a6b4e1f81d02e00717a8f95a7dea5f",
"index": 7790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif not webcam.isOpened():\n print('Could not open webcam')\n exit()\n<mask token>\nwhile webcam.isOpened():\n status, frame = webcam.read()\n sample_num = sample_num + 1\n ... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
class Symbol(object):
pass
class Fundef(Symbol):
def __init__(self, name, type, args):
self.name = name
self.type = type
self.args = args
class VariableSymbol(Symbol):
def __init__(self, name, type):
self.name = name
self.type = type
class ... | normal | {
"blob_id": "6cc23e370d1ec1e3e043c3fa6819f9166b6e3b40",
"index": 4434,
"step-1": "<mask token>\n\n\nclass Scope(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def name(self):\n return self.name\n\n\nclass SymbolTable(object):\n\n def __init__(self, scope_name):\... | [
14,
17,
19,
22,
24
] |
import math,random,numpy as np
def myt():
x=[0]*10
y=[]
for i in range(100000):
tmp = int(random.random()*10)
x[tmp] = x[tmp]+1
tmpy=[0]*10
tmpy[tmp] = 1
for j in range(10):
tmpy[j] = tmpy[j] + np.random.laplace(0,2,None)
y.append(tmpy)
result... | normal | {
"blob_id": "7b7705cdaa8483f6abbc3f4fb3fa1ca506742da8",
"index": 6042,
"step-1": "import math,random,numpy as np\n\ndef myt():\n x=[0]*10\n y=[]\n for i in range(100000):\n tmp = int(random.random()*10)\n x[tmp] = x[tmp]+1\n tmpy=[0]*10\n tmpy[tmp] = 1\n for j in range... | [
0
] |
print('Boolean Exercise')
print(False or False)
print(False and False)
print(not True or not False)
| normal | {
"blob_id": "2385882f040ef4bd0a3611bebfbb2ae5b3cd1dc6",
"index": 4204,
"step-1": "<mask token>\n",
"step-2": "print('Boolean Exercise')\nprint(False or False)\nprint(False and False)\nprint(not True or not False)\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
import tensorflow as tf
from rnn_cells import gru_cell, lstm_cell
from tensorflow.python.ops import rnn
def shape_list(x):
ps = x.get_shape().as_list()
ts = tf.shape(x)
return [ts[i] if ps[i] is None else ps[i] for i in range(len(ps))]
def bi_dir_lstm(X, c_fw, h_fw, c_bw, h_bw, units, scope='bi_dir_lstm')... | normal | {
"blob_id": "e550a2d46e46f0e07d960e7a214fbaa776bab0d5",
"index": 4697,
"step-1": "<mask token>\n\n\ndef shape_list(x):\n ps = x.get_shape().as_list()\n ts = tf.shape(x)\n return [(ts[i] if ps[i] is None else ps[i]) for i in range(len(ps))]\n\n\ndef bi_dir_lstm(X, c_fw, h_fw, c_bw, h_bw, units, scope='bi... | [
6,
7,
8,
9,
12
] |
name_list =[ ]
a = 1
for a in range(1,33):
name = input（"请输入要加入列表的名字:")
name_list.append("name")
print(name)
print(list_ name)
| normal | {
"blob_id": "3f7dddcfde9d33f30f00156fc41700da2692afc3",
"index": 2006,
"step-1": "name_list =[ ]\na = 1\nfor a in range(1,33):\n name = input（\"请输入要加入列表的名字:\")\n name_list.append(\"name\")\n print(name)\nprint(list_ name)\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"ste... | [
0
] |
myfavoritenumber = 5
print(myfavoritenumber)
x = 5
x = x + 1
print(x)
x, y, z = 1, 2, 3
print(x, y, z)
| normal | {
"blob_id": "e6c7b15e5b42cfe6c5dec2eaf397b67afd716ebd",
"index": 3858,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(myfavoritenumber)\n<mask token>\nprint(x)\n<mask token>\nprint(x, y, z)\n",
"step-3": "myfavoritenumber = 5\nprint(myfavoritenumber)\nx = 5\nx = x + 1\nprint(x)\nx, y, z = 1, 2, 3... | [
0,
1,
2
] |
# Complete the hurdleRace function below.
def hurdleRace(k, height):
if k < max(height):
return max(height) - k
return 0
print(hurdleRace(2, [2,5,4,5,2]))
| normal | {
"blob_id": "c139cbc3e693d75ad196e10257ff3028aa835709",
"index": 428,
"step-1": "<mask token>\n",
"step-2": "def hurdleRace(k, height):\n if k < max(height):\n return max(height) - k\n return 0\n\n\n<mask token>\n",
"step-3": "def hurdleRace(k, height):\n if k < max(height):\n return m... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 13 14:10:15 2018
9.5 项目：将一个文件夹备份到一个 ZIP 文件
@author: NEVERGUVEIP
"""
#! python3
import zipfile,os
def backupToZip(folder):
#backup the entire contents of 'folder' into a ZIP file
folder = os.path.abspath(folder)
os.chdir(folder)
#figure out the fil... | normal | {
"blob_id": "7af19f69e6c419649a5999f594118ad13833a537",
"index": 7398,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef backupToZip(folder):\n folder = os.path.abspath(folder)\n os.chdir(folder)\n number = 1\n while True:\n zipFilename = os.path.basename(folder) + '_' + str(numbe... | [
0,
1,
2,
3,
4
] |
# ----------------------------------------------------------------------------
# Copyright (c) 2016-2018, q2-chemistree development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------... | normal | {
"blob_id": "4296dc5b79fd1d2c872eb1115beab52a0f067423",
"index": 4816,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PluginSetupTests(unittest.TestCase):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass PluginSetupTests(unittest.TestCase):\n\n def test_plugin_setup(self):\n ... | [
0,
1,
2,
3,
4
] |
import sys
import random
import pygame
import pygame.locals
import time
# TODO high scores, difficulties
# Absolutes (in pixels where not otherwise stated)
CELL_SIDE_LENGTH = 40 # Side length of each cell
CELL_MARGIN = 2 # Gap between cells
GRID_HEIGHT = 10 # How many cells are in the grid
GRID_WIDTH = 10
X_... | normal | {
"blob_id": "030bc0c7bdbbb09f722ffe4c82866726062f5317",
"index": 1962,
"step-1": "<mask token>\n\n\nclass Game:\n\n def __init__(self):\n pygame.init()\n global CLOCK, SURFACE\n CLOCK = pygame.time.Clock()\n SURFACE = pygame.display.set_mode((WINDOW_WIDTH, WINDOW_HEIGHT))\n ... | [
10,
16,
17,
21,
22
] |
"""empty message
Revision ID: 6374505f9e6e
Revises: 9dc91bb7d2ba
Create Date: 2016-11-14 10:55:08.418923
"""
# revision identifiers, used by Alembic.
revision = '6374505f9e6e'
down_revision = '9dc91bb7d2ba'
from alembic import op
import sqlalchemy as sa
import sqlalchemy.types as ty
def upgrade():
### command... | normal | {
"blob_id": "7badb7c9f1e00dfc379468b7bd73a3f09bffe6de",
"index": 1191,
"step-1": "<mask token>\n\n\ndef downgrade():\n op.alter_column('run', 'polarion_id', type_=ty.String(1024))\n op.alter_column('auto_result', 'skip', type_=ty.String(65535))\n op.alter_column('auto_result', 'failure', type_=ty.String... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
"""
Automatically create and parse commands
based on a YAML configuration file.
NOTE: we can't have a logger here,
before knowing the level of debug.
"""
import os
import sys
import argparse
from controller import __version__, PROJECTRC, PROJECTRC_ALTERNATIVE
from controller.conf_utilities im... | normal | {
"blob_id": "94559d9fd296acd468c33d6b0541b974575b8852",
"index": 4119,
"step-1": "<mask token>\n\n\nclass ArgParser:\n <mask token>\n\n def add_parser_argument(self, parser, option_name, options):\n params = self.prepare_params(options)\n alias = params.pop('alias', None)\n positional ... | [
4,
5,
6,
7,
8
] |
def func(n):
return n * 2
def my_map(f, seq):
return [f(item) for item in seq]
def main():
numbers = [1, 2, 3, 4]
result = list(map(func, numbers))
print(result)
result = [func(item) for item in numbers]
print(result)
if __name__ == '__main__':
main()
| normal | {
"blob_id": "55acae8129ddaba9a860d5d356e91f40607ac95a",
"index": 8614,
"step-1": "<mask token>\n",
"step-2": "def func(n):\n return n * 2\n\n\ndef my_map(f, seq):\n return [f(item) for item in seq]\n\n\n<mask token>\n",
"step-3": "def func(n):\n return n * 2\n\n\ndef my_map(f, seq):\n return [f(i... | [
0,
2,
3,
4
] |
import json
import os
import uuid
from django.core.files.uploadedfile import SimpleUploadedFile
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from nautobot.dcim.models import Site
from nautobot.extras.choices import JobResultStatusChoices
from nautobot.extras.jobs import ... | normal | {
"blob_id": "d2298ad1e4737b983ba6d1f2fff59750137510b5",
"index": 904,
"step-1": "<mask token>\n\n\nclass JobTest(TestCase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def test_field_order(self):\n \"\"\"\n Job test with field order.\n \"\... | [
10,
15,
16,
17,
20
] |
"""
Note: names of methods in this module, if seem weird, are the same as in Hunspell's ``suggest.cxx``
to keep track of them.
"""
from typing import Iterator, Union, List, Set
from spylls.hunspell.data import aff
MAX_CHAR_DISTANCE = 4
def replchars(word: str, reptable: List[aff.RepPattern]) -> Iterator[Union[str... | normal | {
"blob_id": "cfba55505f3290a14b98d594bc871a74812c7c57",
"index": 5594,
"step-1": "<mask token>\n\n\ndef replchars(word: str, reptable: List[aff.RepPattern]) ->Iterator[Union[\n str, List[str]]]:\n \"\"\"\n Uses :attr:`aff.REP <spylls.hunspell.data.aff.Aff.REP>` table (typical misspellings) to replace\n ... | [
6,
9,
12,
13,
14
] |
import tkinter as tk
from tkinter import ttk, messagebox, Menu
ventana = tk.Tk()
EntryArr = []
Label = ["¿Que es la analisis psicologico?", "¿Como se lee la mente?", "¿Cuantas persepciones psicologicas existen?", "¿Padre de la Psicologia moderna?", "Parte del cuerpo donde esta la psyco"]
Arr3 = tk.IntVar()
opciones1 ... | normal | {
"blob_id": "aeab80e2d0006ffa938366ef046d2ab3d387f88c",
"index": 1152,
"step-1": "<mask token>\n\n\ndef click():\n i = 0\n cal = 0\n info = ''\n for x in EntryArr:\n if not x.get():\n messagebox.showinfo('Error', 'Campos no llenos')\n return\n else:\n in... | [
3,
5,
6,
7,
8
] |
# -*- coding: utf-8 -*-
from django.contrib.auth import logout, login, authenticate
from django.contrib.auth.models import User
from django.http import HttpResponse, Http404, HttpResponseRedirect
from django.middleware.csrf import get_token
from django.template.context import Context
from django.utils.translation impor... | normal | {
"blob_id": "11163dc99ee65ab44494c08d81e110e9c42390ae",
"index": 3130,
"step-1": "<mask token>\n\n\ndef main(request):\n c = base_context(request)\n template = get_template('index.html')\n c['title'] = _('Request')\n form = RequestForm()\n user = request.user\n c['user'] = user\n if user.is_... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-04-11 03:58
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('produksi', '0055_auto_20190409_1316'),
]
operations = [
migrations.R... | normal | {
"blob_id": "1eb5df463bbd39002c5dbc3f88459e2f26d4b465",
"index": 8505,
"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 = [('produksi', ... | [
0,
1,
2,
3,
4
] |
import random
import time
from typing import Dict, List, Optional
from bemani.client.base import BaseClient
from bemani.protocol import Node
class ReflecBeatColette(BaseClient):
NAME = 'ＴＥＳＴ'
def verify_pcb_boot(self, loc: str) -> None:
call = self.call_node()
pcb = Node.void('pcb')
... | normal | {
"blob_id": "f781377a52400abd617e7f0c5529726120b78476",
"index": 3426,
"step-1": "<mask token>\n\n\nclass ReflecBeatColette(BaseClient):\n <mask token>\n\n def verify_pcb_boot(self, loc: str) ->None:\n call = self.call_node()\n pcb = Node.void('pcb')\n pcb.set_attribute('method', 'boot... | [
13,
14,
16,
18,
20
] |
from fastapi import APIRouter, Depends
from fastapi.responses import RedirectResponse
import app.setting as setting
from app.dependencies import get_project_by_prefix
from app.entities.project import Project
router = APIRouter(
prefix="/go",
)
@router.get("/{prefix_id}")
def redirect_to_board(project: Project ... | normal | {
"blob_id": "49b295c3e323695779eb32181193ef88b678b34d",
"index": 6340,
"step-1": "<mask token>\n\n\n@router.get('/{prefix_id}')\ndef redirect_to_board(project: Project=Depends(get_project_by_prefix)):\n return RedirectResponse(url=project.notion_board_url)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n... | [
1,
2,
3,
4,
5
] |
import constants
from auth.storage import Storage
from utils import create_error_with_status
from flask import jsonify, request, current_app
def register_user():
try:
email = request.json["email"]
password = request.json["password"]
except KeyError:
status = constants.statuses["user"... | normal | {
"blob_id": "73a4b3497952f90029ba24b73b835de53fc687ec",
"index": 3349,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef register_user():\n try:\n email = request.json['email']\n password = request.json['password']\n except KeyError:\n status = constants.statuses['user']['... | [
0,
1,
2,
3
] |
# %load q03_skewness_log/build.py
from scipy.stats import skew
import pandas as pd
import numpy as np
data = pd.read_csv('data/train.csv')
# Write code here:
def skewness_log(df):
df['SalePrice_New'] = np.log(df['SalePrice'])
df['GrLivArea_New'] = np.log(df['GrLivArea'])
skewed_slPri = skew(df['SalePrice... | normal | {
"blob_id": "f5bd41f4aaff616a332d80ec44c364ffc91c58f0",
"index": 265,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef skewness_log(df):\n df['SalePrice_New'] = np.log(df['SalePrice'])\n df['GrLivArea_New'] = np.log(df['GrLivArea'])\n skewed_slPri = skew(df['SalePrice_New'])\n skewness_... | [
0,
1,
2,
3,
4
] |
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, Float
from sqlalchemy.orm import relationship, backref
ORMBase = declarative_base()
def create_all(engine):
ORMBase.metadata.create_all(engine)
| normal | {
"blob_id": "c7ca8235864ce5de188c4aa2feb9ad82d4fa9b0f",
"index": 4023,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_all(engine):\n ORMBase.metadata.create_all(engine)\n",
"step-3": "<mask token>\nORMBase = declarative_base()\n\n\ndef create_all(engine):\n ORMBase.metadata.create_... | [
0,
1,
2,
3
] |
import calendar
import json
from datetime import datetime
from datapoller.download import download
from datapoller.settings import *
from messaging.Messaging import sendMessage
from messaging.settings import RABBIT_NOTIFY_QUEUE
from sessioncontroller.utils import is_level_interesting_for_kp
__author__ = 'arik'
shared... | normal | {
"blob_id": "e8f090a02bfd5ee8a6832351357594af2d6692f9",
"index": 8702,
"step-1": "<mask token>\n\n\ndef registerModelStorage(dict):\n global sharedDict\n sharedDict = dict\n\n\ndef updateModel():\n lastLevels, validTime = download(NOWCAST_DATA_URL)\n sharedDict['lastLevels'] = lastLevels\n sharedD... | [
3,
4,
5,
6,
8
] |
import graphics
import ply.lex as lex
import ply.yacc as yacc
import jstokens
import jsgrammar
def interpret(trees): # Hello, friend
for tree in trees: # Hello,
# ("word-element","Hello")
nodetype=tree[0] # "word-element"
if nodetype == "word-element":
graphics.word(tree[1])
... | normal | {
"blob_id": "f3b3bee494493263f8b00827e6f3ff3a1dcd8c37",
"index": 6144,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef interpret(trees):\n for tree in trees:\n nodetype = tree[0]\n if nodetype == 'word-element':\n graphics.word(tree[1])\n elif nodetype == 'tag-el... | [
0,
1,
2,
3
] |
# add some description here
import glob
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import xarray as xr
import pandas as pd
import os
import pickle
from scipy.interpolate import griddata
from mpl_toolkits.basemap import Basemap
from mpl_toolkits.axes_grid1 import make_axes_locatable
from mat... | normal | {
"blob_id": "4c1fea4dcf143ec976d3956039616963760d5af6",
"index": 5030,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmatplotlib.style.use('ggplot')\n<mask token>\nsys.path.append('masterThesisPack/')\n<mask token>\nraw.wind_along.plot(ax=ax)\nax.axhline(y=3 * std, c='k', ls='dashed')\nax.axhline(y=-3 * ... | [
0,
1,
2,
3,
4
] |
from pwn import *
p = process("./weeb_hunting")
elf = ELF("/lib/x86_64-linux-gnu/libc-2.23.so")
pwnlib.gdb.attach(p)
r = p.recv()
while "You found a" not in r:
r = p.recvuntil(">")
p.send("AAAA\n")
p.send("AAAA\n")
r = p.recv()
while "You found a" not in r:
r = p.recvuntil(">")
p.send("AAAA\n")
p.send("AAAA\n")... | normal | {
"blob_id": "5eb4c71869b077dac0d61072c99d801030395fc2",
"index": 636,
"step-1": "<mask token>\n",
"step-2": "<mask token>\npwnlib.gdb.attach(p)\n<mask token>\nwhile 'You found a' not in r:\n r = p.recvuntil('>')\n p.send('AAAA\\n')\np.send('AAAA\\n')\n<mask token>\nwhile 'You found a' not in r:\n r = ... | [
0,
1,
2,
3,
4
] |
# using python3
class Rational:
def __init__(self, numer, denom):
self.numer = numer
self.denom = denom
def __add__(self, other):
return Rational(
self.numer * other.denom + other.numer * self.denom,
self.denom * other.denom
)
def __sub__(self, oth... | normal | {
"blob_id": "8098b9c27689dd4168ef05c03d4ec00f67f8090e",
"index": 4771,
"step-1": "class Rational:\n\n def __init__(self, numer, denom):\n self.numer = numer\n self.denom = denom\n <mask token>\n <mask token>\n\n def __mul__(self, other):\n return Rational(self.numer * other.numer... | [
3,
6,
7,
8,
9
] |
from django.contrib import admin
from django.urls import path
from . import view
urlpatterns = [
path('', view.enterMarks),
path('MarkSheet', view.getMarks, name='MarkSheet'),
]
| normal | {
"blob_id": "511c555c88fb646b7b87678044b43a5a623a5ac7",
"index": 4670,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', view.enterMarks), path('MarkSheet', view.getMarks,\n name='MarkSheet')]\n",
"step-3": "from django.contrib import admin\nfrom django.urls import path\nfrom . ... | [
0,
1,
2,
3
] |
learningRateBase = 0.001
learningRateDecreaseStep = 80
epochNum = 100
generateNum = 3
batchSize = 16
trainPoems = "./data/poems.txt"
checkpointsPath = "./model/" | normal | {
"blob_id": "2fb299f5454c251dc1c77c2597ee23bf414c716e",
"index": 4845,
"step-1": "<mask token>\n",
"step-2": "learningRateBase = 0.001\nlearningRateDecreaseStep = 80\nepochNum = 100\ngenerateNum = 3\nbatchSize = 16\ntrainPoems = './data/poems.txt'\ncheckpointsPath = './model/'\n",
"step-3": "learningRateBase... | [
0,
1,
2
] |
import mysql.connector
import hashlib
import time
from datetime import datetime
from datetime import timedelta
from pymongo import MongoClient
from pymongo import IndexModel, ASCENDING, DESCENDING
class MongoManager:
def __init__(self, server_ip='localhost', client=None, expires=timedelta(days=30)):
""... | normal | {
"blob_id": "4cb5dcf0d943ef15421bb6bced65804533d232e3",
"index": 4950,
"step-1": "import mysql.connector\nimport hashlib\nimport time \nfrom datetime import datetime\nfrom datetime import timedelta\n\nfrom pymongo import MongoClient\nfrom pymongo import IndexModel, ASCENDING, DESCENDING\n\n\nclass MongoManager:\... | [
0
] |
#!/bin/usr/python
'''
Author: SaiKumar Immadi
Basic DBSCAN clustering algorithm written in python
5th Semester @ IIIT Guwahati
'''
# You can use this code for free. Just don't plagiarise it for your lab assignments
import sys
from math import sqrt
from random import randint
import matplotlib.pyplot as plt
def main(a... | normal | {
"blob_id": "624ecf743d5be1acc33df14bd721b3103d232f0e",
"index": 2444,
"step-1": "#!/bin/usr/python\n'''\nAuthor: SaiKumar Immadi\nBasic DBSCAN clustering algorithm written in python\n5th Semester @ IIIT Guwahati\n'''\n\n# You can use this code for free. Just don't plagiarise it for your lab assignments\n\nimpor... | [
0
] |
import os
import inspect
import pytest
from ._common import copy_default_profile_collection, patch_first_startup_file
from bluesky_queueserver.manager.profile_tools import global_user_namespace, load_devices_from_happi
from bluesky_queueserver.manager.profile_ops import load_profile_collection
def create_local_impor... | normal | {
"blob_id": "ad1ec5dd8fae290ab6cb73b17c5522e062261359",
"index": 6698,
"step-1": "<mask token>\n\n\ndef create_local_imports_files(tmp_path):\n path_dir = os.path.join(tmp_path, 'dir_local_imports')\n fln_func = os.path.join(path_dir, 'file_func.py')\n fln_gen = os.path.join(path_dir, 'file_gen.py')\n ... | [
5,
6,
7,
8,
9
] |
#!/usr/local/bin/python3
"""
Copyright (c) 2015-2019 Ad Schellevis <ad@opnsense.org>
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain th... | normal | {
"blob_id": "f4ae34be2be2b47b3394e6da751c53c51a1c3174",
"index": 6678,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n fieldnames = None\n field_max_width = dict()\n result = {'headers': [], 'details': []}\n is_header = True\n tidpid = dict()\n for line in su... | [
0,
1,
2,
3
] |
#returns true if given date is a leap year, false otherwise
def is_leap_year(date):
#if divisible by 400, definitely a leap year
if date % 400 == 0: return True
#if divisible by 100 (and not 400), not a leap year
elif date % 100 == 0: return False
#divisible by 4 and not by 100? leap year
elif date % 4 == 0: r... | normal | {
"blob_id": "496d52a984bb8c0e72948ab0c8db5e6035427a68",
"index": 5209,
"step-1": "<mask token>\n",
"step-2": "def is_leap_year(date):\n if date % 400 == 0:\n return True\n elif date % 100 == 0:\n return False\n elif date % 4 == 0:\n return True\n else:\n return False\n",... | [
0,
1,
2
] |
{% load code_generator_tags %}from rest_framework.serializers import ModelSerializer
{% from_module_import app.name|add:'.models' models %}{% comment %}
{% endcomment %}{% for model in models %}
class {{ model.name }}Serializer(ModelSerializer):
class Meta:
model = {{ model.name }}
depth = 1
... | normal | {
"blob_id": "888ec915d89f1fd8fd6465f1035f7c658af78596",
"index": 6166,
"step-1": "{% load code_generator_tags %}from rest_framework.serializers import ModelSerializer\n{% from_module_import app.name|add:'.models' models %}{% comment %}\n{% endcomment %}{% for model in models %}\n\n\nclass {{ model.name }}Serial... | [
0
] |
# This implementation of EPG takes data as XML and produces corresponding pseudonymized data
from lxml import etree
from utils import generalize_or_supress
from hashlib import sha256
from count import getLast, saveCount
import pickle
from hmac import new
from random import random
from json import loads
from bigchain i... | normal | {
"blob_id": "8f554166c28fe4c9a093568a97d39b6ba515241b",
"index": 3196,
"step-1": "<mask token>\n\n\ndef EPGAD(ReportPath, Hi=None, GUi=None):\n if Hi == None:\n Hi = sha256(str(random()).encode()).hexdigest()\n jsn = open(ReportPath, 'rt').read()\n jsnld = loads(jsn)\n print('Report Loaded')\n... | [
1,
2,
3,
4,
5
] |
import PySimpleGUI as sg
class TelaLisatrClientes():
def __init__(self):
self.__window = None
def init_components(self, lista_clientes):
layout = [
[sg.Text('Dados do cliente')],
[sg.Listbox(values=lista_clientes, size=(60, 10))],
[sg.Submit()]
]
... | normal | {
"blob_id": "624b34d160ea6db4f5249544f1614a20f506ca9e",
"index": 895,
"step-1": "<mask token>\n\n\nclass TelaLisatrClientes:\n <mask token>\n\n def init_components(self, lista_clientes):\n layout = [[sg.Text('Dados do cliente')], [sg.Listbox(values=\n lista_clientes, size=(60, 10))], [sg.... | [
2,
3,
4,
5,
6
] |
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