code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
class Thing3:
def __init__(self):
self.letters = 'xyz'
# print(Thing3.letters)
th = Thing3()
print(th.letters) | normal | {
"blob_id": "22bf65a20f7398b82f528112d2ba50f1dccd465c",
"index": 6487,
"step-1": "class Thing3:\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Thing3:\n\n def __init__(self):\n self.letters = 'xyz'\n\n\n<mask token>\n",
"step-3": "class Thing3:\n\n def __init__(self):\n self.let... | [
1,
2,
3,
4,
5
] |
# Copyright (c) 2019 Uber Technologies, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | normal | {
"blob_id": "64b254db6d8f352b2689385e70f2ea7d972c9191",
"index": 4797,
"step-1": "<mask token>\n\n\ndef bsigs():\n S = lists(floats(allow_infinity=False, allow_nan=False), min_size=N_SIG,\n max_size=N_SIG)\n return S\n\n\ndef sigs():\n S = lists(bsigs(), min_size=1)\n return S\n\n\n<mask token... | [
4,
6,
7,
9,
10
] |
from time import sleep
import RPi.GPIO as gpio
#GPIO.setmode(GPIO.BCM)
gpio.setwarnings(False)
def init():
gpio.setmode(gpio.BCM)
gpio.setup(26, gpio.OUT)
gpio.setup(19, gpio.OUT)
gpio.setup(13, gpio.OUT)
gpio.setup(6, gpio.OUT)
def turn_left(tf):
gpio.output(26, False)
gpio.output(19, Tru... | normal | {
"blob_id": "a7cbd595b86908fb399bf11e1522588e0b0475c3",
"index": 9226,
"step-1": "<mask token>\n\n\ndef init():\n gpio.setmode(gpio.BCM)\n gpio.setup(26, gpio.OUT)\n gpio.setup(19, gpio.OUT)\n gpio.setup(13, gpio.OUT)\n gpio.setup(6, gpio.OUT)\n\n\ndef turn_left(tf):\n gpio.output(26, False)\n ... | [
4,
6,
7,
8,
10
] |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import re
import sys
import tarfile
import numpy as np
from six.moves import urllib
import tensorflow as tf
from sklearn.model_selection import train_test_split
from sklearn import datasets
fro... | normal | {
"blob_id": "8ef20a7a93d6affabe88dad4e5d19613fe47dd0f",
"index": 5399,
"step-1": "<mask token>\n\n\ndef create_graph():\n \"\"\"Creates a graph from saved GraphDef file and returns a saver.\"\"\"\n with tf.gfile.FastGFile(os.path.join('/home/ubuntu/hdd/tensorFlowDic/',\n 'classify_image_graph_def.pb... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__doc__ = """\
A MiniFrame is a Frame with a small title bar. It is suitable for floating
toolbars that must not take up too much screen area. In other respects, it's the
same as a wx.Frame.
"""
__wxPyOnlineDocs__ = 'https://wxpython.org/Phoenix/docs/html/wx.MiniFrame.htm... | normal | {
"blob_id": "b041e9577af72d2bcee3dda0cc78fa12800d53bd",
"index": 2286,
"step-1": "<mask token>\n\n\nclass TestPanel(wx.Panel):\n\n def __init__(self, parent, log):\n self.log = log\n wx.Panel.__init__(self, parent, -1)\n b1 = wx.Button(self, -1, 'Create and Show a MiniFrame', (50, 50))\n ... | [
12,
14,
16,
19,
22
] |
import testr
import testg
import time
def run():
parser = testg.OptionParser(description='Autonomous grasp and manipulation planning example.')
parser.add_option('--scene',
action="store",type='string',dest='scene',default='/home/user/experiment/data/lab1.env.xml',
h... | normal | {
"blob_id": "62857a015087500fec534ba1297d42a33ae61927",
"index": 7153,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run():\n parser = testg.OptionParser(description=\n 'Autonomous grasp and manipulation planning example.')\n parser.add_option('--scene', action='store', type='string... | [
0,
1,
2,
3,
4
] |
#header
import matplotlib.pyplot as pmf
import random
p = 0.5 # Probablility of success for original system
n = 18 # Number of trials
Y = [] # Contains binomial RVs
b = [0] * (n+1) # List of n + 1 zeroes
N = 100 # Number of experiments performed
for j in range(N):
# Bernoulli random variable
for i in ra... | normal | {
"blob_id": "9a1b268386b4652bf50af0365892ef7338329727",
"index": 9631,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor j in range(N):\n for i in range(n):\n r = random.uniform(0, 1)\n if r < p:\n x = 1\n else:\n x = 0\n Y.append(x)\n outcome = su... | [
0,
1,
2,
3,
4
] |
import unittest
import shapely.geometry as gm
from alphaBetaLab.abRectangularGridBuilder import abRectangularGridBuilder
class testAbRectangularGridBuilder(unittest.TestCase):
def getMockHiResAlphaMtxAndCstCellDet(self, posCellCentroids = None):
class _mockClass:
def __init__(self, posCellCentroids):
... | normal | {
"blob_id": "6175ce6534d44d703df6cdef94fc2b1285e25f49",
"index": 2202,
"step-1": "<mask token>\n\n\nclass testAbRectangularGridBuilder(unittest.TestCase):\n\n def getMockHiResAlphaMtxAndCstCellDet(self, posCellCentroids=None):\n\n\n class _mockClass:\n\n def __init__(self, posCellCentroids):... | [
6,
7,
8,
9,
10
] |
# coding: utf-8
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
import time
from urllib import urlencode
from urlparse import parse_qs, urlparse, urlunparse
from flask import current_app as app
from flask import url_for
from jose import jwt
from oauth2client.cl... | normal | {
"blob_id": "fe73a80b15cad025a33930ddd9abb31524cd0244",
"index": 9404,
"step-1": "<mask token>\n\n\ndef create_oauth_flow():\n \"\"\"Prepare Google OAuth workflow from config file.\"\"\"\n app.flow = flow_from_clientsecrets(str(Path(app.config['ROOT_DIR'],\n 'configs/client_secrets.json')), scope=['... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/env python
# coding: utf-8
# MIT Licensed
# http://opensource.org/licenses/MIT
led_dir = "/sys/class/gpio/gpio40/"
led_pin = led_dir + "value"
led_mode = led_dir + "direction"
with open(led_mode, "wb") as f:
f.write("out")
with open(led_pin, "wb") as f:
f.write(__import__("sys").argv[1])
"""
Contrib... | normal | {
"blob_id": "1a9cad6e49e5ed2bb7781f9fec930d48ec048b3b",
"index": 5061,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open(led_mode, 'wb') as f:\n f.write('out')\nwith open(led_pin, 'wb') as f:\n f.write(__import__('sys').argv[1])\n<mask token>\n",
"step-3": "led_dir = '/sys/class/gpio/gpio4... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# coding: utf-8
# In[19]:
import numpy as np
import pandas as pd
class simple_nn():
'''
This is simple nn class with 3 layers NN. In this class additional layer was added to the original layers
from notebook given by Julian Stier and Sahib Julka.
Moreover those functions were... | normal | {
"blob_id": "cdc32e7c767097a0eb0def71e55f0276982d6a96",
"index": 5235,
"step-1": "#!/usr/bin/env python\n# coding: utf-8\n\n# In[19]:\n\n\nimport numpy as np\nimport pandas as pd\n\nclass simple_nn():\n '''\n This is simple nn class with 3 layers NN. In this class additional layer was added to the origin... | [
0
] |
from datetime import datetime
from iohelpers import lines_to_textfile
from typing import Iterator, List, Sequence
from zhmodules import ZhTopolectSynonyms, MandarinPronunciations, ZhTopolectPronunciations
def missing_philippine_hokkien_words_generator(synonyms: ZhTopolectSynonyms, hokprons: ZhTopolectPronunciations):... | normal | {
"blob_id": "18366633489d905c96b0c30d65442bc2e2b188ea",
"index": 4703,
"step-1": "<mask token>\n\n\ndef missing_philippine_hokkien_words_generator(synonyms: ZhTopolectSynonyms,\n hokprons: ZhTopolectPronunciations):\n all_hokkien = set()\n for word, syn_data in synonyms.all_words():\n minnan = se... | [
1,
2,
3,
4,
5
] |
s = 'ejp mysljylc kd kxveddknmc re jsicpdrysirbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcdde kr kd eoya kw aej tysr re ujdr lkgc jv'
sa = 'our language is impossible to understandthere are twenty six factorial possibilitiesso it is okay if you want to just give up'
ans = {}
for i in range(len(s)):
ans[s[i]] = sa[i];
... | normal | {
"blob_id": "77b9b111cfb4d0b54e14b2aab81b7b05fd6bbccd",
"index": 8552,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(len(s)):\n ans[s[i]] = sa[i]\n<mask token>\nfor k in ans:\n S.add(k)\n<mask token>\nfor i in range(1, len(L)):\n s = L[i]\n S = ''\n for j in range(len(s)):\... | [
0,
1,
2,
3
] |
from flask import render_template, request, Response
from flask.views import MethodView, View
from flask.views import View
from repo import ClassifierRepo
from services import PredictDigitService
from settings import CLASSIFIER_STORAGE
class IndexView(View):
def dispatch_request(self):
return render_temp... | normal | {
"blob_id": "3ea42e7ad5301314a39bf522280c084342cd18c5",
"index": 332,
"step-1": "<mask token>\n\n\nclass PredictDigitView(MethodView):\n\n def post(self):\n repo = ClassifierRepo(CLASSIFIER_STORAGE)\n service = PredictDigitService(repo)\n image_data_uri = request.json['image']\n pr... | [
2,
3,
4,
5
] |
import os
import sys
try:
from setuptools import setup, find_packages
except ImportError:
from distutils.core import setup, find_packages
setup(
name='stripe-requests',
version='1.9.1-dev',
description='Stripe python bindings using requests',
author='Allan Lei',
author_email='allanlei@hel... | normal | {
"blob_id": "a6ee2be7bed59b419fa66fd6cfe4b5fff3fac260",
"index": 2596,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n from setuptools import setup, find_packages\nexcept ImportError:\n from distutils.core import setup, find_packages\nsetup(name='stripe-requests', version='1.9.1-dev', descrip... | [
0,
1,
2,
3
] |
# 1로 만들기
import sys
N = int(sys.stdin.readline())
dp_table = [0 for _ in range(10**6 + 1)]
dp_table[2], dp_table[3] = 1, 1
for i in range(4,N+1):
two_per = 10**6
three_per = 10**6
if i % 3 ==0:
three_per = dp_table[i//3] + 1
if i % 2 ==0:
two_per = dp_table[i//2] + 1
minus = dp_tabl... | normal | {
"blob_id": "34a8fc38ed875e1c564f535348dc0d5d88c76ab1",
"index": 7281,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(4, N + 1):\n two_per = 10 ** 6\n three_per = 10 ** 6\n if i % 3 == 0:\n three_per = dp_table[i // 3] + 1\n if i % 2 == 0:\n two_per = dp_table[i /... | [
0,
1,
2,
3,
4
] |
# -------------------------------------------------------------------------
# File: mb_trap.py
# Created: Tue Feb 7 20:51:32 2006
# -------------------------------------------------------------------------
import random
import mb_io
import mb_subs
from mb_go import GameObject
class Trap(GameObject):
"""
... | normal | {
"blob_id": "f2a94f6bfe86af439a8248b40732340c45d89b93",
"index": 9925,
"step-1": "<mask token>\n\n\nclass Trap(GameObject):\n <mask token>\n\n def __init__(self, gamedir, filename=None):\n self.attacks = list()\n self.x = 0\n self.y = 0\n self.radius = 0\n self.is_first_r... | [
3,
4,
5,
6,
7
] |
from selenium import webdriver
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
SELENIUM_TIMEOUT = 12
def get_browser_driver():
"""获取浏览器服务... | normal | {
"blob_id": "5ab877ef15cdcd52463b1567c28327dc2eeea2de",
"index": 1204,
"step-1": "<mask token>\n\n\ndef get_browser_driver():\n \"\"\"获取浏览器服务 使用后记得 driver.quit() 否则容易引起状态污染\"\"\"\n try:\n driver = webdriver.PhantomJS(service_args=['--load-images=no'])\n except WebDriverException:\n chrome_... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/python
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.orm import sessionmaker, relationship
engine = create_engine("sqlite:///banco.db")
Base = declarative_base()
Session = sessionmaker(... | normal | {
"blob_id": "6d5257158a7d2eef63faf2fea27f36721d4349ae",
"index": 4273,
"step-1": "#!/usr/bin/python\n\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.ext.declarative import declarative_base\nfrom sqlalchemy import Column, Integer, String, ForeignKey\nfrom sqlalchemy.orm import sessionmaker, relationship\n... | [
0
] |
#processes are described by generator functions
#during the lifetime of a process, the process function(generator function)
#creates events and yields them
#when a process yields an event, it gets suspended
#Simpy resumes the process when the event is triggered
#multiple processes waiting on the same event is resumed... | normal | {
"blob_id": "892eb8d1802b01c035993232cc80c710211ab102",
"index": 802,
"step-1": "<mask token>\n\n\ndef car(env):\n while True:\n print('The car will start parking at: ', env.now)\n parking_timeout = 5\n yield env.timeout(parking_timeout)\n print('The car will start driving at: ', e... | [
1,
2,
3,
4,
5
] |
def main():
num = int(input('dia: '))
dia(num)
def dia(a):
if a == 1:
print('Domingo !')
elif a == 2:
print('Segunda !')
else:
print('valor invalido !')
main()
| normal | {
"blob_id": "07332e2da5458fda2112de2507037a759d3c62db",
"index": 3382,
"step-1": "<mask token>\n",
"step-2": "def main():\n num = int(input('dia: '))\n dia(num)\n\n\n<mask token>\n",
"step-3": "def main():\n num = int(input('dia: '))\n dia(num)\n\n\ndef dia(a):\n if a == 1:\n print('Dom... | [
0,
1,
2,
3
] |
import math
import time
t1 = time.time()
# n(3n-1)/2
def isPentagon(item):
num = math.floor(math.sqrt(item*2//3))+1
if num*(3*num-1)//2 == item:
return True
return False
# n(2n-1)
def isHexagon(item):
num = math.floor(math.sqrt(item//2))+1
if num*(2*num-1) == item:
return True
... | normal | {
"blob_id": "0aec3fbc9f4b9f33aee021fa417c43f0feb0e3d1",
"index": 3296,
"step-1": "<mask token>\n\n\ndef isPentagon(item):\n num = math.floor(math.sqrt(item * 2 // 3)) + 1\n if num * (3 * num - 1) // 2 == item:\n return True\n return False\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef i... | [
1,
3,
4,
5,
6
] |
g7 = int(input())
h7 = g7 / 2
i = g7 - 1
print(int(h7 * i))
| normal | {
"blob_id": "abb08956f55fd1e8af27ce12fa94a4137d7d908e",
"index": 7251,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(int(h7 * i))\n",
"step-3": "g7 = int(input())\nh7 = g7 / 2\ni = g7 - 1\nprint(int(h7 * i))\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import nltk
from nltk import bigrams
from lm import *
# Oppgave 1:
# opretter LM klasse til aa perpleksitere news og adventure
m = LM()
# Henter news og adventure for videre bruk
news=nltk.corpus.brown.sents(categories='news')
adventure=nltk.corpus.brown.sents(categories='adventure')
# initial parametre
perpNews = 0... | normal | {
"blob_id": "d268f8d563aac28852457f6f130b2fb4ea6269a2",
"index": 907,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Perpleksitet til news: %.2f' % perpNews)\nprint('Perpleksitet til adventure: %.2f' % perpAdventure)\n<mask token>\nfor sekvens in zippy:\n print('Ord: %4s Antall: %4d Sekvens: %... | [
0,
1,
2,
3,
4
] |
IS_ZERO = lambda x: x == 0
ONE = 1
SUB1 = lambda x: x - 1
MULT = lambda x: lambda y: x * y
IF = lambda cond: lambda t_func: lambda f_func: t_func(None) if cond else f_func(None)
print(
(
lambda myself: (
lambda n: (
IF(
IS_ZERO(n)
)(
... | normal | {
"blob_id": "f8601ed7ba7c2b8d2dd8d5f74f7b5ae8e99dad78",
"index": 186,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint((lambda myself: lambda n: IF(IS_ZERO(n))(lambda _: ONE)(lambda _:\n MULT(n)(myself(myself)(SUB1(n)))))(lambda myself: lambda n: IF(IS_ZERO(\n n))(lambda _: ONE)(lambda _: MULT(... | [
0,
1,
2,
3
] |
from __future__ import annotations
from VersionControl.Branch import Branch
from Branches.Actions.Actions import Actions
from VersionControl.Git.Branches.Develop.Init import Init
class Develop(Branch):
def process(self):
if self.action is Actions.INIT:
self.start_message('Develop Init')
... | normal | {
"blob_id": "338bf2406c233d857e1a688391161d58e1dab23c",
"index": 8910,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Develop(Branch):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Develop(Branch):\n\n def process(self):\n if self.action is Actions.INIT:\n self... | [
0,
1,
2,
3
] |
import cv2 as cv
import numpy as np
img = np.zeros((512, 512, 3), np.uint8)
cv.line(img, (0, 0), (511, 511), (255, 255, 255), 10)
cv.rectangle(img, (384, 0), (510, 128), (255, 0, 0), 3)
cv.circle(img, (200, 60), 20, (0, 100, 255), 3)
cv.ellipse(img, (250, 250), (100, 50), 90, 0, 180, (255, 0, 255), 3)
font = cv.FONT_HE... | normal | {
"blob_id": "08c5f5ac568b7575d8082976336a5893951b53c2",
"index": 9269,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncv.line(img, (0, 0), (511, 511), (255, 255, 255), 10)\ncv.rectangle(img, (384, 0), (510, 128), (255, 0, 0), 3)\ncv.circle(img, (200, 60), 20, (0, 100, 255), 3)\ncv.ellipse(img, (250, 250)... | [
0,
1,
2,
3
] |
#!/usr/bin/python
# Developed by Hector Cobos
import sys
import csv
import datetime
def mapper():
# Using a reader in order to read the whole file
reader = csv.reader(sys.stdin, delimiter='\t')
# Jump to the next line. We want to avoid the line with the name of the fields
reader.next()
# loop
for line in reade... | normal | {
"blob_id": "d959ed49a83fb63e0bce31b5c81c013f0986706b",
"index": 4314,
"step-1": "#!/usr/bin/python\n\n# Developed by Hector Cobos\n\nimport sys\nimport csv\nimport datetime\n\ndef mapper():\n\t# Using a reader in order to read the whole file\n\treader = csv.reader(sys.stdin, delimiter='\\t')\n\t# Jump to the ne... | [
0
] |
'''
Created on Nov 16, 2013
@author: mo
'''
import unittest
from Board import TicTacToe_Board
from ComputerPlayer import ComputerPlayer
from utils import debug_print as d_pr
from main import StartNewGame
class Test(unittest.TestCase):
def setUp(self):
self.the_board = TicTacToe_Board()
de... | normal | {
"blob_id": "1968923cd923e68dc5ff2148802f18e40a5e6c33",
"index": 939,
"step-1": "<mask token>\n\n\nclass Test(unittest.TestCase):\n <mask token>\n\n def tearDown(self):\n pass\n\n def test_these_should_win_for_x(self):\n self.assertEqual(TicTacToe_Board.IsWinningBoard_static([['x', 'x',\n ... | [
9,
12,
13,
14,
16
] |
import collections
import copy
import threading
import typing as tp
from ..decorators.decorators import wraps
from ..typing import K, V, T
class Monitor:
"""
Base utility class for creating monitors (the synchronization thingies!)
These are NOT re-entrant!
Use it like that:
>>> class MyProtec... | normal | {
"blob_id": "0528d7761cbbf3dbe881ff05b81060f3d97e7f6c",
"index": 742,
"step-1": "<mask token>\n\n\nclass MonitorList(tp.Generic[T], collections.UserList, Monitor):\n <mask token>\n\n def __init__(self, *args):\n collections.UserList.__init__(self, *args)\n Monitor.__init__(self)\n <mask to... | [
17,
20,
22,
23,
33
] |
##############################################################################
# Nombre : import.py
# Descripción : It takes the information from Transfom.sh Initial Node
# Final Node and HAVERSINE Formule
#
# Parámetros:
# Realizado Por :
#
# HISTORIAL DE CAMB... | normal | {
"blob_id": "0018cbb1d945ad1b6469804e7993afee44406fd1",
"index": 2895,
"step-1": "<mask token>\n\n\ndef transform_to_my_format(data):\n d = defaultdict(dict)\n for i1, i2, i3 in re.findall('([\\\\d\\\\.]+)\\\\s+([\\\\d\\\\.]+)\\\\s+([\\\\d\\\\.]+)',\n data):\n d[i1].update({i2: float(i3)})\n ... | [
2,
3,
4,
5,
6
] |
import torch
from torchvision import transforms
from torch.autograd import Variable
class NormalizeImageDict(object):
"""
Normalize image in dictionary
normalize range is True, the image is divided by 255
"""
def __init__(self, image_keys, normalizeRange=True):
self.image_keys = image_key... | normal | {
"blob_id": "4293ad0b2a4a352d6bdc4b860448c4a3b14ca629",
"index": 8648,
"step-1": "<mask token>\n\n\nclass NormalizeImageDict(object):\n <mask token>\n <mask token>\n\n def __call__(self, sample):\n for key in self.image_keys:\n if self.normalizeRange:\n sample[key] /= 25... | [
2,
3,
4,
5
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 25 19:21:32 2019
@author: Nikos
"""
import torch
import torch.optim as optim
from utilities import *
from model import *
from torch.autograd import Variable
import numpy as np
import random
class A2C_agent(object):
def __init__(self, env, actor_h... | normal | {
"blob_id": "72b086e833ab3ee4ec3102869d74513ef3657675",
"index": 1926,
"step-1": "<mask token>\n\n\nclass A2C_agent(object):\n <mask token>\n\n def act(self, state):\n action_distribution = self.actor_network.forward(state)\n action = np.random.choice(self.num_of_actions, p=\n acti... | [
3,
4,
5,
6,
7
] |
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
def plot3D(xValues, labels, figure = 0):
minClass = min(labels)
numberOfClasses = int(max(labels) - minClass)
fig = plt.figure(figure)
ax = plt.axes(projection='3d')
colors = ["r", "b", "y", "c", "m"]
fo... | normal | {
"blob_id": "8dfd92ab0ce0e71b41ce94bd8fcf057c8995a2a4",
"index": 1668,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef plot3D(xValues, labels, figure=0):\n minClass = min(labels)\n numberOfClasses = int(max(labels) - minClass)\n fig = plt.figure(figure)\n ax = plt.axes(projection='3d')... | [
0,
1,
2,
3
] |
from math import pi
from root_regula_falsi import *
r = 1.0
ρs = 200.0
ρw = 1000.0
def f(h):
Vw = 4*pi*r**3/3 - pi*h**2/3*(3*r - h) # displaced volume of water
Vs = 4*pi*r**3/3
return ρw*Vw - ρs*Vs
xr = root_regula_falsi(f, 0.0, 2*r) | normal | {
"blob_id": "3e7d2bacb15c39658ef5044685b73068deb1c145",
"index": 6060,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef f(h):\n Vw = 4 * pi * r ** 3 / 3 - pi * h ** 2 / 3 * (3 * r - h)\n Vs = 4 * pi * r ** 3 / 3\n return ρw * Vw - ρs * Vs\n\n\n<mask token>\n",
"step-3": "<mask token>\nr ... | [
0,
1,
2,
3,
4
] |
from __future__ import print_function
import os
from twisted.internet.task import react
from twisted.internet.defer import Deferred, inlineCallbacks
from twisted.internet.protocol import Factory
from twisted.internet.protocol import Protocol
from twisted.internet.endpoints import TCP4ClientEndpoint, connectProtocol
f... | normal | {
"blob_id": "532bcf8ae0ee40dc3eb4bd7170acfcb5d21cc4b9",
"index": 1984,
"step-1": "<mask token>\n\n\nclass StdIOFactory(Factory):\n <mask token>\n <mask token>\n\n\n<mask token>\n\n\nclass StandardInput(LineReceiver, StandardIO):\n \"\"\"\n Reads stdin and writes every line received as a message to th... | [
7,
12,
13,
14,
16
] |
string="Rutuja MaluSare"
print(string.casefold())
print(len(string))
"""string1=input("enter string 1")
print("string1")
print(len(string1))
string2=input("enter string 2")
print("string2")
print(len(string2))
string3=string1+string2
print(len(string3))"""
#lower case
print(string.lower())
#upper case
print(string... | normal | {
"blob_id": "024bc95f7255bb8be5c3c4ade9d212c9555a4f01",
"index": 3034,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(string.casefold())\nprint(len(string))\n<mask token>\nprint(string.lower())\nprint(string.upper())\n<mask token>\nprint(a)\nprint(a.strip())\n<mask token>\nprint(b)\n",
"step-3": ... | [
0,
1,
2,
3
] |
import API.enum as enum
import re
class ObjectValidator():
def __init__(self, validationData={}, *args, **kwargs):
self.data = validationData
self.statusCode = 200
self.validationPipeline = []
self.errors = {}
self.invalidFields = []
def flush(self):
self = Obj... | normal | {
"blob_id": "e8daf03f987c7512ff245bfbe16c447acd6b5986",
"index": 7574,
"step-1": "<mask token>\n\n\nclass FieldValidator:\n\n def __init__(self, validationData={}, *args, **kwargs):\n self.data = validationData\n self.validationPipeline = []\n self.statusCode = 200\n self.errors = ... | [
40,
58,
62,
63,
65
] |
from accounts.models import User
from django.forms import ModelForm
from django import forms
from django.contrib.auth.forms import UserCreationForm
class UserRegistrationForm(UserCreationForm):
email = forms.EmailField(required=True)
password1 = forms.CharField(
widget=forms.PasswordInput,
# help_text=password_... | normal | {
"blob_id": "e50517910e191594034f60a021647f4415b6f1c4",
"index": 2822,
"step-1": "<mask token>\n\n\nclass UserRegistrationForm(UserCreationForm):\n <mask token>\n <mask token>\n\n\n class Meta:\n model = User\n fields = 'first_name', 'last_name', 'email', 'password1', 'password2'\n <mas... | [
3,
4,
5,
6,
7
] |
import boto3
import json
from botocore.exceptions import ClientError
# upload_to_s3("abc.png", 1)
def upload_to_s3(file_name, node_number):
try:
key_info_json = open("awsinfo.json").read()
except FileNotFoundError:
print("awsinfo.json is not exist in dir.")
exit(-1)
dat... | normal | {
"blob_id": "2f0d611fecdb5717029938d2ec2cd2db345b8f3a",
"index": 8176,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef upload_to_s3(file_name, node_number):\n try:\n key_info_json = open('awsinfo.json').read()\n except FileNotFoundError:\n print('awsinfo.json is not exist in di... | [
0,
1,
2,
3
] |
from fabric.api import local,run
INSTALL_STEPS = ['yes | sudo apt-get install libmysqlclient-dev python-dev python-mysqldb python-virtualenv',
'virtualenv --no-site-packages env',
'. env/bin/activate;pip install -r requirements.txt']
def deps_local():
for step in INSTALL_STEPS:
... | normal | {
"blob_id": "d64140466e62b78506d0f200f451649023697a3b",
"index": 1386,
"step-1": "<mask token>\n\n\ndef deps_remote():\n for step in INSTALL_STEPS:\n run(step)\n",
"step-2": "<mask token>\n\n\ndef deps_local():\n for step in INSTALL_STEPS:\n local(step)\n\n\ndef deps_remote():\n for step... | [
1,
2,
3,
4,
5
] |
'''
@Description:
@Version: 1.0
@Autor: Henggao
@Date: 2020-02-20 16:17:05
@LastEditors: Henggao
@LastEditTime: 2020-02-20 16:32:45
'''
name = "henggao"
def change():
name = "Brill"
print(name)
print(locals())
print(globals())
change()
print(name) | normal | {
"blob_id": "6c7162a9bd81d618abda204c24031c5a5acc61b4",
"index": 7967,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef change():\n name = 'Brill'\n print(name)\n print(locals())\n print(globals())\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef change():\n name = 'Brill'\n ... | [
0,
1,
2,
3,
4
] |
# binary search
# iterative
def Iter_BinarySearch(array,b,e,value):
while(b<=e):#pay attention to the judgement!
mid=(b+e)/2#floor
if (array[mid]<value):#value in [mid,e]
b=mid+1
elif (array[mid]>value):#value in [b,mid]
e=mid-1
else:
print "find ... | normal | {
"blob_id": "f2d7f0b0d27bd43223d0eb6a6279b67968461dad",
"index": 9499,
"step-1": "# binary search\n\n# iterative\ndef Iter_BinarySearch(array,b,e,value):\n while(b<=e):#pay attention to the judgement!\n mid=(b+e)/2#floor\n if (array[mid]<value):#value in [mid,e]\n b=mid+1\n eli... | [
0
] |
'''
python open() 函数用于打开一个文件，创建一个 file 对象，相关的方法才可以调用它进行读写。
更多文件操作可参考：Python 文件I/O。
函数语法
open(name[, mode[, buffering]])
参数说明：
name : 一个包含了你要访问的文件名称的字符串值。
mode : mode 决定了打开文件的模式：只读，写入，追加等。所有可取值见如下的完全列表。这个参数是非强制的，默认文件访问模式为只读(r)。
buffering : 如果 buffering 的值被设为 0，就不会有寄存。如果 buffering 的值取 1，访问文件时会寄存行。如果将 buffering 的值设为大于 1 的... | normal | {
"blob_id": "3a65565af4c55fa5479e323a737c48f7f2fdb8ce",
"index": 596,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(f.read())\n<mask token>\n",
"step-3": "<mask token>\nf = open('1.txt', 'r', encoding='utf-8')\nprint(f.read())\n<mask token>\n",
"step-4": "'''\npython open() 函数用于打开一个文件，创建一个 fil... | [
0,
1,
2,
3
] |
from django.db import models
from django.contrib.auth.models import User
from django.utils.encoding import smart_unicode
from django.core.validators import MinValueValidator
from django.utils import timezone
from concurrency.fields import IntegerVersionField
class ProductCategory(models.Model):
name = models.Char... | normal | {
"blob_id": "9bb15842b39c7fd3e6f6c0048a51c2b2112ddb94",
"index": 8082,
"step-1": "<mask token>\n\n\nclass Auction(models.Model):\n title = models.CharField(max_length=20)\n current_price = models.DecimalField(max_digits=10, decimal_places=2,\n default=0, null=True, blank=True, verbose_name='current ... | [
15,
20,
23,
25,
26
] |
# DISCLAIMER
# The "Math" code was taken from http://depado.markdownblog.com/2015-09-29-mistune-parser-syntax-highlighter-mathjax-support-and-centered-images
# The HighlightRenderer code was taken from https://github.com/rupeshk/MarkdownHighlighter
# MarkdownHighlighter is a simple syntax highlighter for Markdown syn... | normal | {
"blob_id": "a6c45ab3df0a692cd625d8203e1152e942a4cd6c",
"index": 5908,
"step-1": "<mask token>\n\n\nclass MathBlockLexer(mistune.BlockLexer):\n <mask token>\n\n def __init__(self, rules=None, **kwargs):\n if rules is None:\n rules = MathBlockGrammar()\n super(MathBlockLexer, self).... | [
15,
17,
19,
24,
25
] |
import time
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
def open_browser(browser="chrome"):
driver = None
if browser == "chrome":
driver = webdriver.Chrome()
elif browser == "firefox":
... | normal | {
"blob_id": "82fc86e44d02c45d7904139e4dfdff069e2bdb90",
"index": 5634,
"step-1": "<mask token>\n\n\nclass Base:\n <mask token>\n\n def open_url(self, url):\n self.driver.get(url)\n self.driver.maximize_window()\n\n def find_element(self, locator, timeout=10):\n element = WebDriverWa... | [
6,
9,
11,
12,
13
] |
"""
Test /cohort/:id/user/:id
"""
import re
from unittest.mock import patch
from django.urls.base import reverse_lazy
from rest_framework import status
from breathecode.tests.mocks import (
GOOGLE_CLOUD_PATH,
apply_google_cloud_client_mock,
apply_google_cloud_bucket_mock,
apply_google_cloud_blob_mock,
)... | normal | {
"blob_id": "937711546271c145d0f0df2981bdd7d1e9297e3a",
"index": 3788,
"step-1": "<mask token>\n\n\nclass CohortIdUserIdTestSuite(AdmissionsTestCase):\n <mask token>\n\n @patch(GOOGLE_CLOUD_PATH['client'], apply_google_cloud_client_mock())\n @patch(GOOGLE_CLOUD_PATH['bucket'], apply_google_cloud_bucket_... | [
9,
13,
14,
15,
16
] |
# Evolutionary Trees contains algorithms and methods used in determining phylogenetic inheritance of various species.
# Main algos UPGMA and CLUSTALW
from dataclasses import dataclass
import FormattingET
@dataclass
class Node:
age: int
num: int
label: str
alignment: []
def __init__(self, child1=Non... | normal | {
"blob_id": "53cf2dfe3319c39ca6f1dc890eea578fae654b5b",
"index": 8847,
"step-1": "<mask token>\n\n\n@dataclass\nclass Node:\n age: int\n num: int\n label: str\n alignment: []\n\n def __init__(self, child1=None, child2=None):\n self.child1 = child1\n self.child2 = child2\n\n\n<mask to... | [
9,
12,
16,
17,
21
] |
import numpy as np
import math
import random
from numpy.linalg import inv
from scipy.optimize import minimize
from Util import to_vector
class TS_RLR:
def __init__(self, alpha):
self.d = 6
self.k = 6
self.alpha = alpha
self.batch_size = 1000
self.training_size = 1000
self.impressions = 0
self.batch_... | normal | {
"blob_id": "49df9db508637ce5914aa6591178a03c609b6bc7",
"index": 659,
"step-1": "<mask token>\n\n\nclass TS_RLR:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TS_RLR:\n\n def __init__(self,... | [
1,
6,
7,
8,
10
] |
# Copyright 2021 QuantumBlack Visual Analytics Limited
#
# 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
#
# THE SOFTWARE IS PROVIDED "AS IS",... | normal | {
"blob_id": "0069a61127c5968d7014bdf7f8c4441f02e67df0",
"index": 6541,
"step-1": "<mask token>\n\n\nclass WaitForException(Exception):\n \"\"\"WaitForException: if func doesn't return expected result within the specified time\"\"\"\n\n\ndef _wait_for(func: Callable, expected_result: Any=True, timeout: int=10,... | [
4,
5,
6,
7,
10
] |
# 1 use the operators to solve for the following equation:
# (a)
number = ((30*39) + 300) **10
print(number)
# find the value of C. X + Y = C Given:
x = 0.0050
y = 0.1000
c = x + y
print(c)
"""
what is the result of the following:
(a) take the sentence:
the study or use of the systems
(especially computers and... | normal | {
"blob_id": "c2f82cf73d095979d1da346b7dd7779bcc675805",
"index": 4045,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(number)\n<mask token>\nprint(c)\n<mask token>\nprint(word1, ' ' + word2, ' ' + word3)\n<mask token>\nprint(word[:4])\n",
"step-3": "number = (30 * 39 + 300) ** 10\nprint(number)\n... | [
0,
1,
2,
3
] |
from classes.Board import Board
class Visualiser:
coordinate_map = ("a", "b", "c", "d", "e", "f", "g", "h")
__dimensions = 8
def __init__(self):
self.map = []
self.__build_map()
def __build_map(self):
"""
Creates the array of the battlefield. Should never be used for ... | normal | {
"blob_id": "e5e012e40a71dee9f4dbd9913590aef125b758df",
"index": 223,
"step-1": "<mask token>\n\n\nclass Visualiser:\n <mask token>\n <mask token>\n <mask token>\n\n def __build_map(self):\n \"\"\"\n Creates the array of the battlefield. Should never be used for logical operations\n ... | [
4,
5,
6,
7,
8
] |
from django.contrib.postgres.fields import JSONField
from django.db import models
from core.utils.time import get_now
class BaseManager(models.Manager):
"""
Our basic manager is used to order all child models of AbstractLayer
by created time (descending), therefore it creates a LIFO order,
causing th... | normal | {
"blob_id": "5a33aeffa740a41bd0bd1d80f45796ae37377a4c",
"index": 757,
"step-1": "<mask token>\n\n\nclass AbstractLayer(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def filter(cls, *args, **kwa... | [
12,
17,
18,
19,
22
] |
# Takes in a word and makes a list containing individual characters
def split(word):
return [char for char in word]
# Removes empty strings from a list
def removeEmptyStrings(lst):
while "" in lst:
lst.remove("")
ints = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
tokenList = []
class Token:... | normal | {
"blob_id": "8d5b75dc945844d48f52159be08fc1e6aa51fdf5",
"index": 497,
"step-1": "<mask token>\n\n\nclass Lexer:\n\n def __init__(self, items):\n self.items = split(items)\n self.index = 0\n self.item = ''\n self.stringOn = False\n self.stringList = ''\n self.intOn = F... | [
8,
10,
14,
18,
19
] |
import sys
sys.stdin = open('input.txt', 'rt')
BLOCK_0 = 1
BLOCK_1 = 2
BLOCK_2 = 3
N = int(input())
X, Y = 10, 10
# x: 행 , y: 열A
GRN = 0
BLU = 1
maps = [[0]*Y for _ in range(X)]
dx = [1, 0]
dy = [0, 1]
def outMaps(x, y):
global X, Y
if 0<=x<X and 0<=y<Y: return False
else: return True
def meetBlock(x, y, ... | normal | {
"blob_id": "937d01eaa82cbfe07b20fae9320c554a0960d7b1",
"index": 571,
"step-1": "<mask token>\n\n\ndef meetBlock(x, y, maps):\n if maps[x][y] == 1:\n return True\n else:\n return False\n\n\ndef onlyUpdate(n_blocks, xs, ys, maps):\n for i in range(n_blocks):\n maps[xs[i]][ys[i]] = 1\... | [
9,
10,
11,
12,
14
] |
class Solution:
def toGoatLatin(self, S: str) -> str:
def exchange(str2):
if str2[0] in "aeiou":
str2 = str2+"ma"
else:
str2 = str2[1:]+str2[0]+"ma"
list2 = S.split(" ")
for i in list2:
res.append(exchange(i))
... | normal | {
"blob_id": "398c28265e61831ba65b4ae2a785e57c0fa5b6d2",
"index": 8311,
"step-1": "\n\n\nclass Solution:\n def toGoatLatin(self, S: str) -> str:\n \n def exchange(str2):\n if str2[0] in \"aeiou\":\n str2 = str2+\"ma\"\n else:\n str2 = str2[1:]+s... | [
0
] |
# -*- coding: utf-8 -*-
from django import forms
from django.utils.translation import ugettext_lazy as _
# import models
from apps.qa.models.coupon import Coupon
from apps.qa.models.coupon_type import CouponType
COUPONTYPE_CHOICES = (
('text', _("text")),
('url', _("url")),
('questionnaire', ... | normal | {
"blob_id": "a0f83f0a2c6ddaa2fc641bd4fa48a6f50fd1d978",
"index": 1755,
"step-1": "<mask token>\n\n\nclass CouponForm(forms.ModelForm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def clean(self):\n cleaned_type = self.cleaned_data.get(... | [
2,
3,
4,
5,
6
] |
import numpy as np
import dl_style_transfer.workspace.data_helpers
import os
here = os.path.dirname(os.path.abspath(__file__))
sents = list(open(os.path.join(here, 'yelp_sentences.txt'))) + list(open(os.path.join(here, 'shake_sentences.txt')))
thresh = 5
col = dict()
word_to_ind = dict()
ind_to_word = dict()
def... | normal | {
"blob_id": "2317a2fff493588ad6cc3a4ac2b600fbf1c5583c",
"index": 8594,
"step-1": "<mask token>\n\n\ndef __line_into_col__(line):\n tokens = dl_style_transfer.workspace.data_helpers.clean_str(line).split(' '\n )\n for wor in tokens:\n if col.get(wor) is None:\n col[wor] = 1\n ... | [
2,
4,
6,
8,
10
] |
def adder(x, y):
return x + y
adder('one', 'two')
adder([3, 4], [9, 0, 33])
adder(4.3, 3.5)
| normal | {
"blob_id": "1ee5139cb1613977f1c85619404b3dcc6e996382",
"index": 5364,
"step-1": "<mask token>\n",
"step-2": "def adder(x, y):\n return x + y\n\n\n<mask token>\n",
"step-3": "def adder(x, y):\n return x + y\n\n\nadder('one', 'two')\nadder([3, 4], [9, 0, 33])\nadder(4.3, 3.5)\n",
"step-4": null,
"st... | [
0,
1,
2
] |
""""""
import random
import nbformat
from textwrap import dedent
from pybryt.preprocessors import IntermediateVariablePreprocessor
def test_preprocessor():
"""
"""
nb = nbformat.v4.new_notebook()
nb.cells.append(nbformat.v4.new_code_cell(dedent("""\
a = True
b = False
f = la... | normal | {
"blob_id": "d9f08e770dacaa86a03d553afd78fdcd725efb62",
"index": 5204,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_preprocessor():\n \"\"\"\n \"\"\"\n nb = nbformat.v4.new_notebook()\n nb.cells.append(nbformat.v4.new_code_cell(dedent(\n \"\"\" a = True\n b... | [
0,
1,
2,
3
] |
# Copyright (C) 2014 Abhay Vardhan. All Rights Reserved.
"""
Author: abhay.vardhan@gmail.com
We have not yet added tests which exercise the HTTP GET directly.
"""
__author__ = 'abhay'
from nose.tools import *
import test_data
import search_index
class TestClass:
def setUp(self):
search_index.buildIndex(tes... | normal | {
"blob_id": "a9c0251b3422457b2c0089b70308a70b09cfa0e0",
"index": 7276,
"step-1": "<mask token>\n\n\nclass TestClass:\n\n def setUp(self):\n search_index.buildIndex(test_data.sample_food_trucks_data)\n\n def tearDown(self):\n pass\n\n def test_case_query_index(self):\n assert_equals(... | [
11,
13,
14,
18,
19
] |
# -*- coding: utf-8 -*-
import base64
import logging
from decimal import Decimal
import requests
from django import forms
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from currencies.currencies import decimal_round
from payments.systems import base
from payments.systems.ban... | normal | {
"blob_id": "15c1db535beb115c45aeba433a946255f70fa86e",
"index": 7845,
"step-1": "<mask token>\n\n\nclass DepositForm(base.DepositForm):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n @classmethod\n def is_automatic(cls, instance):\n r... | [
9,
10,
11,
13,
17
] |
from django.shortcuts import render
from django.contrib import messages
from django.contrib.auth import logout
from django.contrib.auth.decorators import login_required
# Create your views here.
# def login(request):
# return render(request, 'login.html')
# def validar_login(request):
# usuario= request.POST['... | normal | {
"blob_id": "08712e050bd90408ed9d22bba9f62fafacd64d99",
"index": 9671,
"step-1": "<mask token>\n\n\n@login_required\ndef Lojanisima(request):\n return render(request, 'lojanisima/ruta_lojanisima.html')\n\n\n@login_required\ndef Identiarte(request):\n return render(request, 'identiarte/ruta_identiarte.html'... | [
3,
4,
5,
6,
7
] |
# -*- coding: utf-8 -*-
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import *
from PyQt5.QtCore import *
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.s... | normal | {
"blob_id": "65264f52f641b67c707b6a827ecfe1bf417748e8",
"index": 2379,
"step-1": "<mask token>\n\n\nclass Ui_MainWindow(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_MainWindow(object):\n\n def setupUi(self, MainWindow):\n MainWindow.setObjectName('MainWindow'... | [
1,
2,
3,
4,
5
] |
line_numbers = input().split(", ")
print("Positive:", ", ".join(list(filter((lambda x: int(x) > -1), line_numbers))))
print("Negative:", ", ".join((list(filter((lambda x: int(x) < 0), line_numbers)))))
print("Even:", ", ".join((list(filter((lambda x: int(x) % 2 == 0), line_numbers)))))
print("Odd:", ", ".join((list(fil... | normal | {
"blob_id": "e4845e5aa949ec523515efc4d7996d647fddabdb",
"index": 7060,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Positive:', ', '.join(list(filter(lambda x: int(x) > -1, line_numbers)))\n )\nprint('Negative:', ', '.join(list(filter(lambda x: int(x) < 0, line_numbers))))\nprint('Even:', ', ... | [
0,
1,
2,
3
] |
import gc
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tqdm import tqdm
import cv2
import torch
from torch.utils.data import DataLoader
from torch import optim
from torch.optim import lr_scheduler
from dataset.car_dataset import CarDataset
from nn.netw... | normal | {
"blob_id": "1861c394fb02643d2e6ac8362f3340f512ef6d72",
"index": 6402,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n ROOT_PATH = '/media/andreis/storage/datasets/pku-autonomous-driving/'\n df = pd.read_csv(ROOT_PATH + 'train.csv')\n df_test = pd.read_csv(ROOT_PATH +... | [
0,
1,
2,
3,
4
] |
from flask import Flask, request, render_template, redirect
from pymongo import MongoClient
from envparse import env
from flask_httpauth import HTTPDigestAuth
import os.path
# Get env vars stored either in an env file or on the machine
def get_env(name):
if (os.path.exists('./env')):
env.read_envfile('./env')
ret... | normal | {
"blob_id": "ad813216ba8162a7089340c677e47c3e656f7c95",
"index": 6198,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef show_home():\n return render_template('index.html')\n\n\n@app.route('/addhost', methods=['GET', 'POST'])\ndef hosts():\n if request.method == 'POST':\n db = mongo_login()\n ... | [
6,
7,
10,
13,
14
] |
import requests
import json
class Parser:
init_url = r'https://www.joom.com/tokens/init'
products_url = r'https://api.joom.com/1.1/search/products?language=ru-RU¤cy=RUB'
def __init__(self, links_list):
self.links = links_list
self.product_info_dict = {}
access_token = json.l... | normal | {
"blob_id": "00c6899b9d49cbbd0f1980eada77ad91562211a0",
"index": 4471,
"step-1": "<mask token>\n\n\nclass Parser:\n <mask token>\n <mask token>\n <mask token>\n\n def get_description(self, id_str, headers):\n link = ('https://api.joom.com/1.1/products/' + id_str +\n '?language=ru-RU... | [
2,
3,
4,
5,
6
] |
__doc__
def fizz_buzz(num1, num2, end_range):
if not (
isinstance(num1, int) and isinstance(num2, int) and isinstance(end_range, int)
) or (num1 < 0 or num2 < 0 or end_range < 0):
return "Input should be a positive integer"
# I'm storing the result to test the returned value aka a list of... | normal | {
"blob_id": "d00873c3ee72b55cb5b74f78a98de61a25b3cc21",
"index": 7227,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_answer():\n import sys\n answer1 = None\n answer2 = None\n answer3 = None\n try:\n answer1 = fizz_buzz(3, 5, 16)\n answer2 = fizz_buzz(2, 7, 20)\... | [
0,
1,
2,
3,
4
] |
from django.apps import AppConfig
class FosAppConfig(AppConfig):
name = 'fos_app'
| normal | {
"blob_id": "d83f2d9bb25a46bc7344b420ce65bf729165e6b9",
"index": 278,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass FosAppConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass FosAppConfig(AppConfig):\n name = 'fos_app'\n",
"step-4": "from django.apps import AppCon... | [
0,
1,
2,
3
] |
import unittest
from textwrap import dedent
from simplesat import InstallRequirement, Repository
from simplesat.test_utils import packages_from_definition
from ..compute_dependencies import (compute_dependencies,
compute_leaf_packages,
compute_re... | normal | {
"blob_id": "fcf19c49bb161305eaa5ba8bc26e276a8e8db8ea",
"index": 3925,
"step-1": "<mask token>\n\n\nclass TestComputeReverseDependencies(unittest.TestCase):\n\n def setUp(self):\n repo_0 = Repository(packages_from_definition(PACKAGE_DEF_0))\n repo_1 = Repository(packages_from_definition(PACKAGE_... | [
5,
12,
13,
14,
18
] |
import pandas as pd
df = pd.DataFrame({'col1':[1,2,3,4],'col2':[444,555,666,444],'col3':['abc','def','ghi','xyz']})
print(df.head())
#print(df['col2'].unique())
#print(df['col1'] > 2)
newdf = df[(df['col1']>0) & (df['col2'] == 444)]
print("========================")
print(newdf)
def times2(x):
return x*2
print("=... | normal | {
"blob_id": "422a4945ebf453d3e09e9e7e76dd32b30488680e",
"index": 3011,
"step-1": "<mask token>\n\n\ndef times2(x):\n return x * 2\n\n\n<mask token>\n",
"step-2": "<mask token>\nprint(df.head())\n<mask token>\nprint('========================')\nprint(newdf)\n\n\ndef times2(x):\n return x * 2\n\n\nprint('=... | [
1,
2,
3,
4,
5
] |
import sys
def solution(input):
k = 1
for v in sorted(input):
if v >= k:
k += 1
return k - 1
testcase = sys.stdin.readline()
for i in range(int(testcase)):
sys.stdin.readline()
line1 = sys.stdin.readline().rstrip('\n')
line2 = sys.stdin.readline().rstrip('\n')
ans = sol... | normal | {
"blob_id": "a89724be31b4ccc1a3d83305509d9624da364a0c",
"index": 6004,
"step-1": "<mask token>\n\n\ndef solution(input):\n k = 1\n for v in sorted(input):\n if v >= k:\n k += 1\n return k - 1\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef solution(input):\n k = 1\n for ... | [
1,
2,
3,
4,
5
] |
def main():
' main entry point for module execution\n '
argument_spec = dict(src=dict(type='path'), replace_src=dict(), lines=dict(aliases=['commands'], type='list'), parents=dict(type='list'), before=dict(type='list'), after=dict(type='list'), match=dict(default='line', choices=['line', 'strict', 'exact', '... | normal | {
"blob_id": "99b5ac74da95dff399c31d58e19bac65e538a34b",
"index": 8012,
"step-1": "<mask token>\n",
"step-2": "def main():\n \"\"\" main entry point for module execution\n \"\"\"\n argument_spec = dict(src=dict(type='path'), replace_src=dict(), lines=\n dict(aliases=['commands'], type='list'), p... | [
0,
1,
2
] |
#coding: utf-8
#/usr/bin/python
__author__='julia sayapina'
### Use db_reset.py to drop the db and recreate it, then use 'migrate' --> 'createsuperuser' --> 'makemigrations' --> 'migrate' as usual.
### This will create the DB structure as it has to be from django
### Then use test_db_fullfill.py to fullfill the db wit... | normal | {
"blob_id": "3240310653930662dcc4d79646b1a75c2994cda7",
"index": 9063,
"step-1": "<mask token>\n\n\ndef db_create():\n cur.execute(\n \"\"\"\n create table if not exists Offshores_asset (\n id INTEGER PRIMARY KEY AUTO_INCREMENT,\n asset_name VARCHA... | [
2,
4,
5,
6,
7
] |
from django.apps import AppConfig
class ProjectrolesConfig(AppConfig):
name = 'projectroles'
| normal | {
"blob_id": "6a4585e0e2f5ebbd0f9a7fa203f76bb88ff9c2a0",
"index": 2920,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ProjectrolesConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ProjectrolesConfig(AppConfig):\n name = 'projectroles'\n",
"step-4": "from django.... | [
0,
1,
2,
3
] |
import sys
from Decks.Virtual_World.vw_sets import *
from tools import *
hand_3playable_hts = ["Nibiru, the Primal Being", "Effect Veiler", "Fantastical Dragon Phantazmay", "Dragon Buster Destruction Sword", "Dragon Buster Destruction Sword"]
hand_2playable_hts = ["Nibiru, the Primal Being", "Nibiru, the Primal Being"... | normal | {
"blob_id": "43179b8b096836758271a791b4aacb7bbe398ea9",
"index": 1807,
"step-1": "<mask token>\n\n\ndef test_playable_hts_in_hand():\n assert playable_hts_in_hand(hand_3playable_hts) == 3\n assert playable_hts_in_hand(hand_2playable_hts) == 2\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_pl... | [
1,
2,
3,
4,
5
] |
def pixels_generator(w, h):
i = 0
while i < (w * h):
yield divmod(i, w)
i = i + 1
| normal | {
"blob_id": "bb481fa038835abc6d61a4985b1e30c7c00bff96",
"index": 158,
"step-1": "<mask token>\n",
"step-2": "def pixels_generator(w, h):\n i = 0\n while i < w * h:\n yield divmod(i, w)\n i = i + 1\n",
"step-3": "def pixels_generator(w, h):\n i = 0\n while i < (w * h):\n yield... | [
0,
1,
2
] |
#!/usr/bin/env python
import rospy
import cv2
import numpy as np
from cv_bridge import CvBridge
from matplotlib import pyplot as plt
from sensor_msgs.msg import Image
from drone_app_msgs.msg import BBox, Drone, DroneArray
from rospy.numpy_msg import numpy_msg
# ---------------------------------------
# This is an impl... | normal | {
"blob_id": "e864dad3f46fc9c6c472823bd06ce74fb5cb3f41",
"index": 462,
"step-1": "<mask token>\n\n\ndef processFrame(image_message):\n frame = CvBridge().imgmsg_to_cv2(image_message)\n frame_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n mask = cv2.inRange(frame_hsv, (0, 0, 0, 0), (180, 255, 30, 0))\n ... | [
1,
2,
3,
4,
5
] |
import argparse
import pickle
import pandas as pd
from pyspark.sql.session import SparkSession
parser = argparse.ArgumentParser()
parser.add_argument('--rs', type=str, nargs='+')
args = parser.parse_args()
ss = SparkSession.builder.getOrCreate()
post_df = None
for f in args.rs:
df = ss.read.json(f).select('id', 'su... | normal | {
"blob_id": "e6b3def6ed6f2523d88912832a876caf2742b786",
"index": 7572,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('--rs', type=str, nargs='+')\n<mask token>\nfor f in args.rs:\n df = ss.read.json(f).select('id', 'subreddit', 'subreddit_id', 'title')\n post_df = df if post_df... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# USAGE: day_22_01.py
# Michael Chambers, 2017
class Grid:
def __init__(self, startFile):
# Load initial infected sites
# Origin is top-left of input file
self.infected = set()
posx = 0
with open(startFile, 'r') as fo:
for i, line in enumerate(fo):
line = line.rstrip()
posx... | normal | {
"blob_id": "f840624ec11679d576fbb80f8e753c59663a7ee2",
"index": 9168,
"step-1": "<mask token>\n\n\nclass ComplexGrid:\n\n def __init__(self, startFile):\n self.weakened = set()\n self.infected = set()\n self.flagged = set()\n posx = 0\n with open(startFile, 'r') as fo:\n ... | [
6,
7,
11,
13,
14
] |
import gc
import unittest
import numpy as np
from pydrake.autodiffutils import AutoDiffXd
from pydrake.common import RandomDistribution, RandomGenerator
from pydrake.common.test_utilities import numpy_compare
from pydrake.common.test_utilities.deprecation import catch_drake_warnings
from pydrake.common.value import Va... | normal | {
"blob_id": "f17ae8a44f8b032feac7c18fe39663054fea40c0",
"index": 5282,
"step-1": "<mask token>\n\n\nclass TestGeneral(unittest.TestCase):\n\n def _check_instantiations(self, template, supports_symbolic=True):\n default_cls = template[None]\n self.assertTrue(template[float] is default_cls)\n ... | [
25,
26,
28,
30,
35
] |
from datetime import *
dd=int(input("enter number day: "))
nn=int(datetime.now().strftime("%w"))+1
# print(dd)
# print(nn)
print((datetime.now().date())+(timedelta(days=dd-nn)))
| normal | {
"blob_id": "d3342507cb1966e14380ff28ae12b5c334abd20a",
"index": 5430,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(datetime.now().date() + timedelta(days=dd - nn))\n",
"step-3": "<mask token>\ndd = int(input('enter number day: '))\nnn = int(datetime.now().strftime('%w')) + 1\nprint(datetime.no... | [
0,
1,
2,
3,
4
] |
import pygame
import serial
import time
ser1 = serial.Serial('/dev/ttyACM0', 115200) #Right
ser1.write('?\n')
time.sleep(0.5)
if ser1.readline()[4] == 0:
ser2 = serial.Serial('/dev/ttyACM1', 115200) #Left, negative speeds go forward
else:
ser1 = serial.Serial('/dev/ttyACM1', 115200)
ser2 = serial.Serial('/... | normal | {
"blob_id": "e6d4d12d47391927364fdc9765c68690d42c5d8d",
"index": 8950,
"step-1": "<mask token>\n\n\ndef write_spd(write1, write2):\n ser1.write('sd' + str(write1) + '\\n')\n ser2.write('sd' + str(-write2) + '\\n')\n\n\n<mask token>\n",
"step-2": "<mask token>\nser1.write('?\\n')\ntime.sleep(0.5)\nif ser1... | [
1,
2,
3,
4,
5
] |
import serial
import mysql.connector
ser = serial.Serial('/dev/serial0', 9600)
while True:
data = ser.readline()
if data[0]==";":
print(data)
data = data.split(";")
if data[1] == "1":
fonction = data[1]
add = data[2]
tmp = data[3]
debit = data[4]
ser.write([123])
#test affichage
print "Sa... | normal | {
"blob_id": "b1a6593e7b528238e7be5ea6da4d1bfee0d78067",
"index": 7824,
"step-1": "import serial\nimport mysql.connector\n\nser = serial.Serial('/dev/serial0', 9600)\n\nwhile True:\n\tdata = ser.readline()\n\tif data[0]==\";\":\n\t\tprint(data)\n\t\tdata = data.split(\";\")\n\t\tif data[1] == \"1\":\n\t\t\tfoncti... | [
0
] |
# Time: O(|V| + |E|)
# Space: O(|V|)
class Solution(object):
def eventualSafeNodes(self, graph):
"""
:type graph: List[List[int]]
:rtype: List[int]
"""
WHITE, GRAY, BLACK = range(3)
def dfs(graph, node, lookup):
if lookup[node] != WHITE:
... | normal | {
"blob_id": "5c5cfcd240c8b05970dc8dff57bfbbdc98f1d100",
"index": 9838,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def eventualSafeNodes(self, graph):\n \"\"\"\n :type graph: List[List[int]]\n :rtype: List... | [
0,
1,
2,
3
] |
'''
Author: Iris Peng. Date: Feb 21, 2016
Usage: Scrape Weibo posts from Zhongsou for the first time for a query
In the terminal, type
$ python3 scrape_weibo.py
and follow the prompts
'''
import requests
from bs4 import BeautifulSoup
from pandas import DataFrame
import time
import pandas
import glob, os
global QUE... | normal | {
"blob_id": "ed3fbae19c88100690dd5c558c0dc6d36a4849c8",
"index": 1451,
"step-1": "<mask token>\n\n\nclass NewScrape:\n\n def scrape_main(self):\n \"\"\"\n Top-level function.\n Use links from below, scrape a page, sleep for 5s, and restart on the next link.\n \"\"\"\n for i ... | [
9,
12,
13,
14,
15
] |
# def add(a,b):
# x = a + b
#
# # the return value gets assigned to the "result" variable
# result = add(3,5)
# print result # this should print 8
#
# def multiply(arr,num):
# for x in range(len(arr)):
# arr[x] *= num
# return arr
#
# a = [2,4,10,16]
# b = multiply(a,5)
# print b
#
#
# dog = ("Canis F... | normal | {
"blob_id": "e24c3f6ce2e65305f955dcede9edc0b497f6e74c",
"index": 2880,
"step-1": "# def add(a,b):\n# x = a + b\n#\n# # the return value gets assigned to the \"result\" variable\n# result = add(3,5)\n# print result # this should print 8\n#\n# def multiply(arr,num):\n# for x in range(len(arr)):\n# ar... | [
0
] |
# import random module from Python standard library
# define a dictionary with image urls and number of flucks
# set the served img variable to be a random element from imgs
# hints:
# to put dict keys in a list: list(dict.keys())
# to choose a random item from a list: random.choice(lst)
# keep asking user if they ... | normal | {
"blob_id": "4ae611ee8c019c76bb5d7c1d733ffb4bd06e2e8d",
"index": 5508,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nrandom.choice(imgs)\n<mask token>\nprint(served_img)\n<mask token>\nif input == 'yes':\n print('YOU FLUCKED IT')\nelif input == 'no':\n print('WHAT ARE YOU???..')\n",
"step-3": "<... | [
0,
1,
2,
3,
4
] |
from django.contrib import admin
from basic_app.models import UserProfileInfo
admin.site.register(UserProfileInfo)
# we do not need to register User() default form since it comes
# with the default admin site in Django itself.
| normal | {
"blob_id": "624212a1d73ff3a3b3092ffa27912a6ae25a2484",
"index": 6826,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(UserProfileInfo)\n",
"step-3": "from django.contrib import admin\nfrom basic_app.models import UserProfileInfo\nadmin.site.register(UserProfileInfo)\n",
"step-4": ... | [
0,
1,
2,
3
] |
from pymongo import MongoClient
import Config
DB = Config.DB
COLLECTION = Config.COLLECTION
def connectMongo():
uri = "mongodb://localhost"
client = MongoClient(uri)
return client[DB]
def connectMongoCollection(collection = COLLECTION):
uri = "mongodb://localhost"
client = MongoClient(uri)
db = client[DB]
re... | normal | {
"blob_id": "7a5106456d0fdd905829c5aa1f4a69b027f3a04c",
"index": 4198,
"step-1": "<mask token>\n\n\ndef connectMongoCollection(collection=COLLECTION):\n uri = 'mongodb://localhost'\n client = MongoClient(uri)\n db = client[DB]\n return db[collection]\n",
"step-2": "<mask token>\n\n\ndef connectMong... | [
1,
2,
3,
4,
5
] |
from app import config
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
engine = create_engine(config.DB_URI)
Session = scoped_session(sessionmaker(bind=engine))
| normal | {
"blob_id": "86c1aee21639958f707f99bc2468e952ad6c1859",
"index": 9352,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nengine = create_engine(config.DB_URI)\nSession = scoped_session(sessionmaker(bind=engine))\n",
"step-3": "from app import config\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.o... | [
0,
1,
2
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of CbM (https://github.com/ec-jrc/cbm).
# Author : Konstantinos Anastasakis
# Credits : GTCAP Team
# Copyright : 2021 European Commission, Joint Research Centre
# License : 3-Clause BSD
import os
import glob
from ipywidgets import (Text, Label... | normal | {
"blob_id": "2f9a081845685a4748c8b028ae4ee3a056a10284",
"index": 9779,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef foi_tab_v1():\n path_foi = f\"{config.get_value(['paths', 'temp'])}/foi/\"\n path_foi_func = foi_v1.path_foi_func\n progress = Output()\n\n def outlog(*text):\n ... | [
0,
2,
3,
4,
5
] |
#!/usr/bin/env python
#-*- coding:utf8 -*-
# Power by null 2018-09-19 18:41:17
from codebase.mod.mod_test import test_f
| normal | {
"blob_id": "7c4709eaa5123b44e6355c6a60932f286e3b1cf5",
"index": 7450,
"step-1": "<mask token>\n",
"step-2": "from codebase.mod.mod_test import test_f\n",
"step-3": "#!/usr/bin/env python\n#-*- coding:utf8 -*-\n# Power by null 2018-09-19 18:41:17\n\nfrom codebase.mod.mod_test import test_f\n",
"step-4": nu... | [
0,
1,
2
] |
""""
You are given a tree-like data structure represented as nested dictionaries.
Implement a function collect_leaves that accepts a tree and returns a list of all its leaves. A leaf is a bottom-most node in a tree.
Implement a kind of unit tests via assert operator.
"""
from typing import Union
def collect... | normal | {
"blob_id": "603cce951dd0f78ef3ca9dce587042b3b7f6b449",
"index": 8001,
"step-1": "<mask token>\n\n\ndef collect_leaves(u: Union[dict, list]) ->list:\n flatten_list = []\n if isinstance(u, dict):\n for item in u.values():\n flatten_list.extend(collect_leaves(item))\n return flatten_... | [
1,
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3,
4,
5
] |
"""
pytest.mark.parametrize(“变量参数名称”，变量数据列表[‘123’,‘34’,‘567’,‘78’])
上面的变量个数有4个，测试用例传入变量名称后，会依序4次使用变量的数据，执行4次测试用例
def test001(self,"变量参数名称")
assert 变量名称
""" | normal | {
"blob_id": "24f3284a7a994951a1f0a4ef64c951499bbba1b4",
"index": 6958,
"step-1": "<mask token>\n",
"step-2": "\"\"\"\n pytest.mark.parametrize(“变量参数名称”，变量数据列表[‘123’,‘34’,‘567’,‘78’])\n 上面的变量个数有4个，测试用例传入变量名称后，会依序4次使用变量的数据，执行4次测试用例\n def test001(self,\"变量参数名称\")\n assert 变量名称\n\n\"\"\"",
"step... | [
0,
1
] |
import sqlite3
from flask_restful import Resource, reqparse
from flask_jwt import JWT, jwt_required
#import base64
import datetime
import psycopg2
class User:
def __init__(self, _id, username, password, user_name, address, contact):
self.id = _id
self.username = username
self.password =... | normal | {
"blob_id": "84d154afe206fd2c7381a2203affc162c28e21c1",
"index": 5863,
"step-1": "<mask token>\n\n\nclass PresOrder(Resource):\n <mask token>\n parser.add_argument('username', type=str, required=True, help=\n 'This field cannot be left blank.')\n parser.add_argument('pres', type=str, required=Tru... | [
5,
8,
9,
10,
12
] |
# 引入基础的工作表
from openpyxl import Workbook
# 引入增强的修改功能
from openpyxl.styles import Font,Alignment,Border,Side,PatternFill,colors
# import openpyxl
def make_example():
# 设定文件目录
addr = './example.xlsx'
# 初始化文件，切换到活动的工作表
work_book = Workbook()
# 读取文件采用
# work_book = openpyxl.load_workbook... | normal | {
"blob_id": "d7524a455e62594e321b67f0a32a5c3a7437c1d6",
"index": 1093,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef make_example():\n addr = './example.xlsx'\n work_book = Workbook()\n work_sheet = work_book.active\n work_sheet['A1'] = 'Hello World!'\n select_cell = work_sheet.ce... | [
0,
1,
2,
3,
4
] |
import numpy.random as rnd
import numpy as np
B=100000
N1=50
N2=50
p1mle=0.3
p2mle=0.4
taumle=p2mle-p1mle
estimate=[]
for i in range(B):
p1=0.0
for j in range(N1):
if(rnd.uniform(0,1)<p1mle):
p1+=1
p1/=N1
p2=0.0
for j in range(N2):
if(rnd.uniform(0,1)<p2mle):
p2+=1
p2/=N2
estimate.append(p2-p... | normal | {
"blob_id": "0db0daf9bea254cffaec1280cd13b2d70368cd94",
"index": 289,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(B):\n p1 = 0.0\n for j in range(N1):\n if rnd.uniform(0, 1) < p1mle:\n p1 += 1\n p1 /= N1\n p2 = 0.0\n for j in range(N2):\n if rnd.u... | [
0,
1,
2,
3,
4
] |
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