code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@api_view(['GET', 'POST'])
@renderer_classes([JSONRenderer, BrowsableAPIRenderer])
def feedback_list(request, format=None):
"""
List all feedback or create a new feedback
"""
if request.method == 'GET':
f... | flexible | {
"blob_id": "bd6c72c3215265a349c5f47573063a9288f64198",
"index": 5227,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@api_view(['GET', 'POST'])\n@renderer_classes([JSONRenderer, BrowsableAPIRenderer])\ndef feedback_list(request, format=None):\n \"\"\"\n List all feedback or create a new feedba... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestDummy(unittest.TestCase):
pass
<|reserved_special_token_1|>
import unittest
import achemkit.properties_wnx
class TestDummy(unittest.TestCase):
pass
| flexible | {
"blob_id": "5f0e6f6dc645996b486f1292fe05229a7fae9b17",
"index": 2342,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestDummy(unittest.TestCase):\n pass\n",
"step-3": "import unittest\nimport achemkit.properties_wnx\n\n\nclass TestDummy(unittest.TestCase):\n pass\n",
"step-4": null,... | [
0,
1,
2
] |
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 re
from collections import defaultdict
def count_words(sentence):
# extract all the words as per definition
sentence = re.findall(r"\b[\w'-]+\b", sentence.lower().replace('_', ' '))
counts = defaultdict(lambda: 0)
# Counting the frequency of each words
for word in sentence:
counts[w... | normal | {
"blob_id": "7f5f16ea10980e0ade7357cdae38f47f8d7cdf01",
"index": 2446,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef count_words(sentence):\n sentence = re.findall(\"\\\\b[\\\\w'-]+\\\\b\", sentence.lower().replace('_', ' '))\n counts = defaultdict(lambda : 0)\n for word in sentence:\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
#----------- writing our for loop
""" number = [1,2,3,4,5]
friends = ['ahmet', 'mehmet','ayşe']
# for n in number:
# print(n)
# for n in friends:
# print(n)
def my_for_loop(my_iterable):
my_iterator = iter(my_iterable)
while True:
t... | flexible | {
"blob_id": "70325d0e5eb9dcd7a065f83eaf14647bc30bd7f3",
"index": 9053,
"step-1": "<mask token>\n",
"step-2": "\n#----------- writing our for loop\n\"\"\" number = [1,2,3,4,5]\nfriends = ['ahmet', 'mehmet','ayşe']\n\n# for n in number:\n# print(n)\n# for n in friends:\n# print(n)\n\ndef my_for_loop(my_i... | [
0,
1
] |
<|reserved_special_token_0|>
class VirtualChassis(Base):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self, parent):
super(VirtualChassis, self).__init__(parent)
<|reserved_special_token_0|>
@property
def Hypervisor(self):
... | flexible | {
"blob_id": "4b78c99dd6156afe960effcacb25804446310f7c",
"index": 9708,
"step-1": "<mask token>\n\n\nclass VirtualChassis(Base):\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, parent):\n super(VirtualChassis, self).__init__(parent)\n <mask token>\n\n @property\n de... | [
12,
13,
16,
17,
19
] |
def _make_key(*args, **kwargs):
all_args = [str(arg) for arg in args]
all_args += [str(arg) + '=' + str(value) for arg, value in kwargs.items()]
return '|'.join(all_args)
class DoubleLinked:
def __init__(self, prv, nxt, key):
self.prv = prv
self.nxt = nxt
self.key = key
class... | normal | {
"blob_id": "9c251e0224979877b9ce244e4871fd4c403abb8e",
"index": 1583,
"step-1": "<mask token>\n\n\nclass LRUCache:\n\n def __init__(self, get_from_origin, max_size=1024):\n if max_size == 0:\n raise NotImplementedError()\n if max_size < 0:\n raise ValueError()\n sel... | [
10,
14,
16,
23,
24
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [m... | flexible | {
"blob_id": "deb8ee1d6327a6406244147a819821e8d2b2890e",
"index": 1385,
"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 = [migrations.sw... | [
0,
1,
2,
3,
4
] |
import scrapy
from yijing64.items import Yijing64Item
# import pymysql
class ZhouyiSpider(scrapy.Spider):
name = 'zhouyi'
allowed_domains = ['m.zhouyi.cc']
start_urls = ['https://m.zhouyi.cc/zhouyi/yijing64/']
def parse(self, response):
li_list = response.xpath("//div[@class='gualist1 tip_tex... | normal | {
"blob_id": "cd9f25a2810b02f5588e4e9e8445e7aaec056bf8",
"index": 7704,
"step-1": "<mask token>\n\n\nclass ZhouyiSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def parse_detail(self, response):\n item = response.meta['item']\n item['hexagram1'] ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Notification(BaseAbstractModel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_tok... | flexible | {
"blob_id": "1066f86d3a35e892ca2a7054dfc89fe79f1d32c8",
"index": 7496,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Notification(BaseAbstractModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Notification(... | [
0,
1,
2,
3,
4
] |
from django.test import TestCase, SimpleTestCase
from django.urls import reverse, resolve
from .views import profile, order_history
""" Url Testing """
class TestUrls(SimpleTestCase):
def test_profile_resolves(self):
url = reverse('profile')
self.assertEqual(resolve(url).func, profile)
def t... | normal | {
"blob_id": "5dc6b54357df87077d8159192cd52697b2616db8",
"index": 9186,
"step-1": "<mask token>\n\n\nclass TestUrls(SimpleTestCase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TestUrls(SimpleTestCase):\n\n def test_profile_resolves(self):\n url = reverse('profile')\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ALLOWED_HOSTS = []
INSTALLED_APPS = ['django.contrib.admin', 'django.contrib.auth',
'django.contrib.contenttypes', 'django.contrib.sessions',
'django.c... | flexible | {
"blob_id": "b42414b7d8ed80d8794ab7c49dfde1e5df0721f1",
"index": 1318,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))\nALLOWED_HOSTS = []\nINSTALLED_APPS = ['django.contrib.admin', 'django.contrib.auth',\n 'django.contrib.contentty... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('Temp in ', celsius, 'celsius=', fah, ' Fahrenheit')
<|reserved_special_token_1|>
celsius = input('Enter temperature in Celsius')
celsius = int(celsius)
fah = celsius * 9 / 5 + 32
print('Temp in ', celsius, 'celsius=', fa... | flexible | {
"blob_id": "e1172cadeb8b2ce036d8431cef78cfe19bda0cb8",
"index": 2161,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Temp in ', celsius, 'celsius=', fah, ' Fahrenheit')\n",
"step-3": "celsius = input('Enter temperature in Celsius')\ncelsius = int(celsius)\nfah = celsius * 9 / 5 + 32\nprint('Tem... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
from route4me import Route4Me
API_KEY = "11111111111111111111111111111111"
def main():
r4m = Route4Me(API_KEY)
route = r4m.route
response = route.get_routes(limit=1, offset=0)
if isinstance(response, dict) and 'errors' in response.keys():
print('. '.join(response['err... | normal | {
"blob_id": "bc4684d255a46427f708d8ce8bda2e12fb8c8ffe",
"index": 238,
"step-1": "<mask token>\n\n\ndef main():\n r4m = Route4Me(API_KEY)\n route = r4m.route\n response = route.get_routes(limit=1, offset=0)\n if isinstance(response, dict) and 'errors' in response.keys():\n print('. '.join(respo... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
# Enter your code here. Read input from STDIN. Print output to STDOUT
n= input()
vals= list(map(int,input().split()))
def median(values):
n=len(values)
values = sorted(values)
if n%2==1:
return values[(n+1)//2 - 1]
else:
return int(sum(values[int((n/... | normal | {
"blob_id": "9d6b5baa8462b2996e4518dd39b5bb1efde1fd9d",
"index": 894,
"step-1": "<mask token>\n\n\ndef quartiles(values):\n n = len(values)\n values.sort()\n Q2 = median(values)\n Q1 = median(values[:int(n / 2)])\n if n % 2 == 0:\n Q3 = median(values[int(n / 2):])\n else:\n Q3 = m... | [
1,
2,
3,
4,
5
] |
#
# Wrappers for model evaluation
#
import torch
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from modules import Classifier
from typing import Generator, NamedTuple, Optional, Union
from utils import expand_generator
class Evaluator(object):
class Result(NamedTuple):
... | normal | {
"blob_id": "493dbf85069f2115896a5f5f5d593c8d95b85cff",
"index": 4594,
"step-1": "<mask token>\n\n\nclass ModelEvaluator(Evaluator):\n\n def __init__(self, dataset: Dataset, batch_size: int, num_workers: int,\n mixed_precision: bool=True):\n self.dataset = dataset\n self.mixed_precision =... | [
5,
6,
7,
8,
9
] |
import discord
from discord.ext import commands
from os import path
import os
import datetime as dt
import numpy as np
import math
# client = commands.Bot(command_prefix = '.', case_insensitive=True)
# UTOPIA = 679921845671035034
# DEV_BOT_TOKEN = 'NzUzMzg1MjE1MTAzMzM2NTg4.X1laqA.vKvoV8Gz9jBWDWvIaBGDC4xbLB4'
# BO... | normal | {
"blob_id": "bc8d3a5e3ed845b4ab2d203bec47881be64ba3f8",
"index": 3723,
"step-1": "<mask token>\n",
"step-2": "import discord\nfrom discord.ext import commands\nfrom os import path\nimport os\nimport datetime as dt\nimport numpy as np\nimport math\n",
"step-3": "import discord\nfrom discord.ext import command... | [
0,
1,
2
] |
from com.kakao.cafe.menu.tea.milkTea import MilkTea
class MatchaMilkTea(MilkTea):
def __init__(self):
super().__init__()
self.__matcha = 1
self.__condensedMilk = 1
self.name = "MatchaMilkTea"
self.__price = 4500
self.__milk = 400
self.__blackTea = 2
de... | normal | {
"blob_id": "96b113678a3453520cd2e62eb11efd9582710409",
"index": 2087,
"step-1": "<mask token>\n\n\nclass MatchaMilkTea(MilkTea):\n <mask token>\n\n def getName(self) ->str:\n return self.name\n <mask token>\n <mask token>\n\n def setPrice(self, price: int) ->None:\n self.__price = p... | [
9,
15,
20,
23,
24
] |
class TimeEntry:
def __init__(self, date, duration, togglproject='default toggl',
tdproject='default td', togglID='NULL', tdID='Null'):
self.duration = duration
self.date = date
self.togglProject = togglproject
self.tdProject = tdproject
self.togglID = togglID
... | normal | {
"blob_id": "bdf2c35c12820dd31bd242ce1b6dae7271ceb2b7",
"index": 8433,
"step-1": "<mask token>\n",
"step-2": "class TimeEntry:\n <mask token>\n",
"step-3": "class TimeEntry:\n\n def __init__(self, date, duration, togglproject='default toggl',\n tdproject='default td', togglID='NULL', tdID='Null'... | [
0,
1,
2
] |
from collections import deque
def my_queue(n=5):
return deque([], n)
pass
if __name__ == '__main__':
mq = my_queue()
for i in range(10):
mq.append(i)
print((i, list(mq)))
"""Queue size does not go beyond n int, this outputs:
(0, [0])
(1, [0, 1])
(2, [0, 1, 2])
(3,... | normal | {
"blob_id": "499baaa8c739c1bd846edc944e510542d76bbed5",
"index": 9312,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef my_queue(n=5):\n return deque([], n)\n pass\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef my_queue(n=5):\n return deque([], n)\n pass\n\n\nif __name__ == '_... | [
0,
1,
2,
3
] |
#!/user/bin/env python3 -tt
"""
https://adventofcode.com/2017/day/7
"""
import sys
import re
# Global variables
task="d-7"
infile=task + ".input"
with open('input/' + infile) as file:
input = file.read()
file.close()
class Node:
parent = None
children = None
weight_sum = 0
def __init__(self, na... | normal | {
"blob_id": "679ca76212b90261683d59899c1189280b6b6e8c",
"index": 5953,
"step-1": "<mask token>\n\n\nclass Node:\n parent = None\n children = None\n weight_sum = 0\n\n def __init__(self, name, weight, linked):\n self.name = name\n self.weight = int(weight)\n self.weight_sum += sel... | [
6,
8,
10,
12,
13
] |
import multiprocessing
import time
def foo():
time.sleep(0.1)
p = multiprocessing.Process(target=foo)
p.start()
print("process running: ", p, p.is_alive())
p.terminate()
print("process running: ", p, p.is_alive())
p.join()
print("process running: ", p, p.is_alive())
print("process exit code:", p.exitcode)
| normal | {
"blob_id": "19aad7d45416e311530aa2ce3e854cf1f65d18f5",
"index": 960,
"step-1": "<mask token>\n\n\ndef foo():\n time.sleep(0.1)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef foo():\n time.sleep(0.1)\n\n\n<mask token>\np.start()\nprint('process running: ', p, p.is_alive())\np.terminate()\nprint('... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 3 17:16:12 2019
@author: Meagatron
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from collections import defaultdict
import math
import itertools
from dtw import dtw
import timeit
from helper_functions import normalize,alphabetize_ts,hammin... | normal | {
"blob_id": "16215ee42c4ea284dca0ebb7372fef04c0cc54b9",
"index": 2149,
"step-1": "<mask token>\n\n\ndef segment_ts():\n ts_len = len(x1)\n mod = ts_len % window_size\n rnge = 0\n if skip_offset == 0:\n ts_len = int((ts_len - mod - window_size) / 1)\n rnge = int(ts_len / window_size)\n ... | [
4,
5,
6,
7,
8
] |
"""Coroutine utilities."""
from decorator import decorator
@decorator
def coroutine(f, *a, **kw):
"""This decorator starts the coroutine for us."""
i = f(*a, **kw)
i.next()
return i
| normal | {
"blob_id": "6bde0ce30f33b155cc4c9ce9aa2ea6a6c5a1231d",
"index": 5472,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@decorator\ndef coroutine(f, *a, **kw):\n \"\"\"This decorator starts the coroutine for us.\"\"\"\n i = f(*a, **kw)\n i.next()\n return i\n",
"step-3": "<mask token>\nfr... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CachedS3Storage(CachedFilesMixin, S3Boto3Storage):
pass
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CachedS3Storage(CachedFilesMixin, S3Boto3Storage):
pass
... | flexible | {
"blob_id": "e99ff1c75d5108efc8d587d4533c34eeb15c6978",
"index": 9425,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass CachedS3Storage(CachedFilesMixin, S3Boto3Storage):\n pass\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass CachedS3Storage(CachedFilesMixin, S3Boto3Storage):\n p... | [
0,
1,
2,
3
] |
from __future__ import absolute_import, division, print_function
from .core import Bag, Item, from_sequence, from_filenames
from ..context import set_options
| normal | {
"blob_id": "4e77c7ac784ec235e9925004069131d16717e89a",
"index": 9676,
"step-1": "<mask token>\n",
"step-2": "from __future__ import absolute_import, division, print_function\nfrom .core import Bag, Item, from_sequence, from_filenames\nfrom ..context import set_options\n",
"step-3": null,
"step-4": null,
... | [
0,
1
] |
#
# Copyright (C) 2017 Red Hat, 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 to in writin... | normal | {
"blob_id": "a34584a71fdff65e5b1bb15a6304af79774dac2c",
"index": 1315,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.drop_constraint('component_files_component_id_fkey', 'component_files')\n op.drop_constraint('components_topic_id_fkey', 'components')\n op.drop_constraint('files_job_id_fkey', 'files'... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def classify(inX, dataSet, labels, k):
dataSetSize = dataSet.shape[0]
diffMat = tile(inX, (dataSetSize, 1)) - dataSet
sqDiffMat = diffMat ** 2
sqDistances = sqDiffMat.sum(axis=1)
distances = sqDistances ** 0.5
sortedDistIndicies = distances.argsort()
classCount... | flexible | {
"blob_id": "1ab5147ed8ce808de9667052b6d17f320d62484f",
"index": 4694,
"step-1": "<mask token>\n\n\ndef classify(inX, dataSet, labels, k):\n dataSetSize = dataSet.shape[0]\n diffMat = tile(inX, (dataSetSize, 1)) - dataSet\n sqDiffMat = diffMat ** 2\n sqDistances = sqDiffMat.sum(axis=1)\n distances... | [
3,
5,
6,
7,
8
] |
from django.test import TestCase
from django.urls import reverse
from django.utils import timezone
from recensioni_site import settings
from django.contrib.auth.models import User
from forum.models import Sezione,Post,UserDataReccomandation
class testRegistrazione(TestCase):
def setUp(self):
self.credent... | normal | {
"blob_id": "cf9339659f49b4093c07e3723a2ede1543be41b8",
"index": 4900,
"step-1": "<mask token>\n\n\nclass testRegistrazione(TestCase):\n <mask token>\n\n def tearDown(self):\n self.proprietario1.delete()\n self.proprietario2.delete()\n self.user1.delete()\n self.user2.delete()\n... | [
3,
4,
5,
6,
7
] |
import requests
import time
import urllib
import argparse
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from fake_useragent import UserAgent
from multiprocessing import Pool
from lxml.html import fromstring
import os, sys
#text = 'chowchowbaby'
#url='https... | normal | {
"blob_id": "142a2ba3ec2f6b35f4339ed9fffe7357c1a85fa0",
"index": 219,
"step-1": "<mask token>\n\n\ndef search(url):\n browser = webdriver.Chrome(executable_path=\n 'C:\\\\Users\\\\inaee\\\\Downloads\\\\chromedriver_win32\\\\chromedriver.exe')\n browser.get(url)\n time.sleep(1)\n element = brow... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BruteForce(Mono):
<|reserved_special_token_0|>
def _count_inconsistencies(self):
if self.num_cores == 1:
for ni in self.nonmatch_indices:
self.index2count[ni] = 0
fo... | flexible | {
"blob_id": "32c18bd578bbf91c76604f063421a65a4f7a8b63",
"index": 2204,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BruteForce(Mono):\n <mask token>\n\n def _count_inconsistencies(self):\n if self.num_cores == 1:\n for ni in self.nonmatch_indices:\n self... | [
0,
3,
4,
5,
6
] |
# boj, 9237 : 이장님 초대, python3
# 그리디 알고리즘
import sys
def tree(l):
return max([i+j+2 for i,j in enumerate(l)])
N = int(sys.stdin.readline())
t = sorted(list(map(int, sys.stdin.readline().split())), reverse = True)
print(tree(t)) | normal | {
"blob_id": "e79cdd32977eb357c3f6709887b671c50eb1fa45",
"index": 7071,
"step-1": "<mask token>\n\n\ndef tree(l):\n return max([(i + j + 2) for i, j in enumerate(l)])\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef tree(l):\n return max([(i + j + 2) for i, j in enumerate(l)])\n\n\n<mask token>\npri... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append('.')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sys.path.append('.')
BROKER_CONF = {'uid': '{{ mq_user }}', 'pass': '{{ mq_password }}', 'host':
'{{ mq_host }}', '... | flexible | {
"blob_id": "1a569b88c350124968212cb910bef7b09b166152",
"index": 8990,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.append('.')\n<mask token>\n",
"step-3": "<mask token>\nsys.path.append('.')\nBROKER_CONF = {'uid': '{{ mq_user }}', 'pass': '{{ mq_password }}', 'host':\n '{{ mq_host }}', '... | [
0,
1,
2,
3,
4
] |
# Author: Kenneth Lui <hkkenneth@gmail.com>
# Last Updated on: 01-11-2012
## Usage: python ~/code/python/001_Fastq_Trimming.py <FIRST BASE> <LAST BASE> <FASTQ FILES....>
## Bases are inclusive and 1-based
#from Bio.SeqIO.QualityIO import FastqGeneralIterator
#handle = open(sys.argv[2], 'w')
#for title, seq, qual in Fa... | normal | {
"blob_id": "4a8663531f303da29371078e34dc7224fc4580e3",
"index": 6283,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor s in sys.argv[3:]:\n file = open(s + '.' + sys.argv[1] + '-' + sys.argv[2] + '.trimmed', 'w')\n r_list = []\n size = 0\n for r in SeqIO.parse(s, 'fastq'):\n r_list.... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Reader(Thread):
<|reserved_special_token_0|>
def __del__(self):
self._frame = None
self._stream.release()
<|reserved_special_token_0|>
def read(self):
return self._frame
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Re... | flexible | {
"blob_id": "73bf31e43394c3f922b00b2cfcd5d88cc0e01094",
"index": 2339,
"step-1": "<mask token>\n\n\nclass Reader(Thread):\n <mask token>\n\n def __del__(self):\n self._frame = None\n self._stream.release()\n <mask token>\n\n def read(self):\n return self._frame\n",
"step-2": "<... | [
3,
4,
5,
6
] |
import torch as th
from tpp.processes.hawkes.r_terms_recursive_v import get_r_terms
from tpp.utils.test import get_test_events_query
def run_test():
marks = 3
events, query = get_test_events_query(marks=marks)
beta = th.rand([marks, marks])
get_r_terms(events=events, beta=beta)
if __name__ == '__mai... | normal | {
"blob_id": "2681bd9fe93a4d61214b7c45e5d73097ab73dc07",
"index": 5486,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef run_test():\n marks = 3\n events, query = get_test_events_query(marks=marks)\n beta = th.rand([marks, marks])\n get_r_terms(events=events, beta=beta)\n\n\n<mask token>... | [
0,
1,
2,
3
] |
import unittest2 as unittest
from zope.component import getUtility
from plone.registry.interfaces import IRegistry
from plone.testing.z2 import Browser
from plone.app.testing import SITE_OWNER_NAME, SITE_OWNER_PASSWORD
from openmultimedia.imagewatchdog.configlet import IImageWatchDogSettings
from openmultimedia.image... | normal | {
"blob_id": "ce5f91aa04065aac4d4bc7bdbaab3b74c5a85a93",
"index": 8752,
"step-1": "<mask token>\n\n\nclass TestConfiglet(unittest.TestCase):\n <mask token>\n <mask token>\n\n def test_default_config(self):\n \"\"\" Validate the default values\n \"\"\"\n registry = getUtility(IRegistr... | [
4,
6,
7,
8,
9
] |
# -*- coding: utf-8 -*-
# __author__ = 'XingHuan'
# 3/27/2018
import os
import imageio
import time
os.environ['IMAGEIO_FFMPEG_EXE'] = 'D:/Program Files/ffmpeg-3.4/bin/ffmpeg.exe'
reader = imageio.get_reader('test1080.mov')
print reader
fps = reader.get_meta_data()['fps']
print fps
# for i, im in enumerate(reader)... | normal | {
"blob_id": "1e292872c0c3c7f4ec0115f0769f9145ef595ead",
"index": 8325,
"step-1": "# -*- coding: utf-8 -*-\n# __author__ = 'XingHuan'\n# 3/27/2018\n\nimport os\nimport imageio\nimport time\n\nos.environ['IMAGEIO_FFMPEG_EXE'] = 'D:/Program Files/ffmpeg-3.4/bin/ffmpeg.exe'\n\n\nreader = imageio.get_reader('test1080... | [
0
] |
# 自定义购物车项类
class CartItem():
def __init__(self, book, amount):
self.book = book
self.amount = int(amount)
# 自定义购物车
class Cart():
def __init__(self):
self.book_list = []
self.total = 0
self.save = 0
def total_price(self):
ele = 0
for i in self.book_li... | normal | {
"blob_id": "58efaad41d02bb5dffbf71c478c7fad12af68e5b",
"index": 9900,
"step-1": "<mask token>\n\n\nclass Cart:\n\n def __init__(self):\n self.book_list = []\n self.total = 0\n self.save = 0\n\n def total_price(self):\n ele = 0\n for i in self.book_list:\n ele ... | [
5,
6,
7,
8,
9
] |
"""APP Cloud Connect errors"""
class CCEError(Exception):
pass
class ConfigException(CCEError):
"""Config exception"""
pass
class FuncException(CCEError):
"""Ext function call exception"""
pass
class HTTPError(CCEError):
""" HTTPError raised when HTTP request returned a error."""
de... | normal | {
"blob_id": "e2840eb1b0d731d6b0356835ba371d05ba351ff6",
"index": 5323,
"step-1": "<mask token>\n\n\nclass HTTPError(CCEError):\n \"\"\" HTTPError raised when HTTP request returned a error.\"\"\"\n\n def __init__(self, reason=None):\n \"\"\"\n Initialize HTTPError with `response` object and `s... | [
8,
9,
10,
12,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while i >= 100:
print(i)
i -= 1
print(i)
<|reserved_special_token_1|>
i = 100
while i >= 100:
print(i)
i -= 1
print(i)
| flexible | {
"blob_id": "9527743802a0bb680ab3dcf325c0f7749a51afc6",
"index": 5949,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile i >= 100:\n print(i)\ni -= 1\nprint(i)\n",
"step-3": "i = 100\nwhile i >= 100:\n print(i)\ni -= 1\nprint(i)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class RegexCompiles:
re_compile_product_id = re.compile('Product-Id=[0-9]*')
re_compile_id = re.compile('[0-9]+')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class RegexCompiles:
re_compile_product_id = re.compile('Product-Id=[... | flexible | {
"blob_id": "b1c06e9c5516a378c0bbce2ce9e17afaeae01928",
"index": 668,
"step-1": "<mask token>\n\n\nclass RegexCompiles:\n re_compile_product_id = re.compile('Product-Id=[0-9]*')\n re_compile_id = re.compile('[0-9]+')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass RegexCompiles:\n re_compile_... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
@require_superuser
def index(request):
template_name = 'users/index.html'
msg = ''
try:
users = User.objects.exclude(id=request.user.id)
except:
msg = _('Unable to list users.')
LOG.error(msg)
users = []
paginator = Paginator(users, PAGE... | flexible | {
"blob_id": "b739a5d359b4d1c0323c7cd8234e4fe5eb9f3fcb",
"index": 6286,
"step-1": "<mask token>\n\n\n@require_superuser\ndef index(request):\n template_name = 'users/index.html'\n msg = ''\n try:\n users = User.objects.exclude(id=request.user.id)\n except:\n msg = _('Unable to list users... | [
8,
9,
10,
11,
12
] |
<|reserved_special_token_0|>
def appendix_and_index_pages():
"""
Prompt user to input appendix pages (if one exists) and index pages
:return: start and end pages of the appendix and index
"""
def index_pages():
"""
Prompt user to input index pages
:return: start and end pa... | flexible | {
"blob_id": "2b3a42fed98b43cdd78edd751b306ba25328061a",
"index": 8652,
"step-1": "<mask token>\n\n\ndef appendix_and_index_pages():\n \"\"\"\n Prompt user to input appendix pages (if one exists) and index pages\n :return: start and end pages of the appendix and index\n \"\"\"\n\n def index_pages()... | [
2,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
eval(compile(base64.b64decode(code), '<string>', 'exec'))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
code = (
b'CmltcG9ydCBweW1vbmdvCmltcG9ydCByYW5kb20KaW1wb3J0IHJlCmltcG9ydCBzdHJpbmcKaW1wb3J0IHN5cwppbXBvcnQg... | flexible | {
"blob_id": "c7f26978333c7e6cccf7451ea5d10511a66b62c2",
"index": 1908,
"step-1": "<mask token>\n",
"step-2": "<mask token>\neval(compile(base64.b64decode(code), '<string>', 'exec'))\n",
"step-3": "<mask token>\ncode = (\n b'CmltcG9ydCBweW1vbmdvCmltcG9ydCByYW5kb20KaW1wb3J0IHJlCmltcG9ydCBzdHJpbmcKaW1wb3J0IH... | [
0,
1,
2,
3,
4
] |
#到达终点的最小步数 leetcode原题 754 https://leetcode.com/problems/reach-a-number/solution/
# 分情况讨论：到target与到abs(target)的情况是一样的
# 1. total = 1+2+...+k，求total刚好大于等于n的k，可知到达target至少要用k步，此时超出d=total-k
# 2. 如果d为偶数，则只需将d/2步反向即可，k步即可到达target
# 3. 如果d为奇数，则k步不可能到达，因为任何反转都会改变偶数距离，不可能消去d，则再走一步判断d+k+1是否为偶数
# 4. 如果为偶数，说明k+1步可到
# 5. 如果d+k+1为奇... | normal | {
"blob_id": "4b255b648f67e6bcc30eecc7975bbb1a356b2499",
"index": 2656,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n\n\n<mask token>\n",
"step-3": "class Solution(object):\n\n def reachNumber(self, target):\n target = abs(target)\n k = 0\n while ta... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class BFCell:
<|reserved_special_token_0|>
def __init__(self, r, c, id, occupied):
"""BFCell(row, col)"""
self.r = r
self.c = c
self.id = id
self.occupied = occupied
def __repr__(self):
return str(self)
def __str__(self):
... | flexible | {
"blob_id": "86d3e90493ed04bbe23792716f46a68948911dc3",
"index": 6861,
"step-1": "<mask token>\n\n\nclass BFCell:\n <mask token>\n\n def __init__(self, r, c, id, occupied):\n \"\"\"BFCell(row, col)\"\"\"\n self.r = r\n self.c = c\n self.id = id\n self.occupied = occupied\... | [
7,
12,
15,
16,
20
] |
# python examples/mnist_rnn.py --bsz 128 --bsz-eval 256
import sys
from argparse import ArgumentParser
import pytorch_lightning as pl
import torch.nn as nn
import torch.optim as optim
from loguru import logger
from slp.config.config_parser import make_cli_parser, parse_config
from slp.data.collators import SequenceCl... | normal | {
"blob_id": "d8a09f9952856da69120fae6221636dd5bd8c93e",
"index": 3567,
"step-1": "<mask token>\n\n\nclass Net(nn.Module):\n\n def __init__(self, input_size, hidden_size=40, num_classes=10,\n bidirectional=False):\n super().__init__()\n self.encoder = RNN(input_size, hidden_size, bidirecti... | [
4,
5,
6,
7,
9
] |
from rest_framework.views import APIView
from rest_framework.response import Response
from drf_yasg.utils import swagger_auto_schema
from theme.models import UserProfile
from hs_core.views import serializers
class UserInfo(APIView):
@swagger_auto_schema(operation_description="Get information about the logged in ... | normal | {
"blob_id": "c45ffe8cba8d152e346182252dbc43e22eaf83e2",
"index": 3498,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass UserInfo(APIView):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass UserInfo(APIView):\n\n @swagger_auto_schema(operation_description=\n 'Get information abo... | [
0,
1,
2,
3,
4
] |
import os as os
import io as io
import re
class Stopwords:
def __init__(self, base_dir='data'):
self.base_dir = base_dir
def load_stopwords(self, base_dir=None, stopwords_file='stopwords.csv'):
# Load stopwords from file.
if base_dir is not None:
self.base_dir = base_dir
... | normal | {
"blob_id": "dad4e14da734f2e2329f4cbe064c73c82a4ae27c",
"index": 8119,
"step-1": "<mask token>\n\n\nclass Stopwords:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Stopwords:\n\n def __init__(self, base_dir='data'):\n self.base_dir = base_dir\n <mask token>\n",
"step-... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def counter(count):
for i in range(count):
time.sleep(1)
print('[%s] => %s' % (os.getpid(), i))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def counter(count)... | flexible | {
"blob_id": "fd564d09d7320fd444ed6eec7e51afa4d065ec4d",
"index": 6945,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef counter(count):\n for i in range(count):\n time.sleep(1)\n print('[%s] => %s' % (os.getpid(), i))\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef counter... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Import the otb applications package
import otbApplication
def ComputeHaralick(image, chan, xrad, yrad):
# The following line creates an instance of the HaralickTextureExtraction application
HaralickTextureExtraction = otbApplication.Registry.CreateApplication("Haral... | normal | {
"blob_id": "b4992a5b396b6809813875443eb8dbb5b00eb6a9",
"index": 4865,
"step-1": "#!/usr/bin/python \n# -*- coding: utf-8 -*-\n\n# Import the otb applications package \nimport otbApplication \n \ndef ComputeHaralick(image, chan, xrad, yrad):\n\n\t# The following line creates an instance of the HaralickTextureExt... | [
0
] |
from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class SearchConfig(AppConfig):
name = 'search'
verbose_name = _("Search")
| normal | {
"blob_id": "f47e4d6ff079b6ac2320467d87b34ae82face032",
"index": 4506,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SearchConfig(AppConfig):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass SearchConfig(AppConfig):\n name = 'search'\n verbose_name = _('Search... | [
0,
1,
2,
3,
4
] |
"""Primer3 input form.
For details on input params see:
https://primer3.org/manual.html#globalTags
"""
from django import forms
from django.core.exceptions import ValidationError
from .fasta import Fasta
class PrimerForm(forms.Form):
"""Collect user input to run primer prediction."""
fasta = forms.CharFie... | normal | {
"blob_id": "6291375738db7914d551f9a1c6d2897b7d236b87",
"index": 1742,
"step-1": "<mask token>\n\n\nclass PrimerForm(forms.Form):\n <mask token>\n fasta = forms.CharField(initial='')\n primer_min = forms.IntegerField(initial=18, max_value=35)\n primer_max = forms.IntegerField(initial=27, max_value=35... | [
3,
4,
5,
6,
7
] |
import json
import random
from time import sleep
url = "data/data.json"
def loop(run_state):
error = 1
simulations = 1
while run:
error_margin = str((error/simulations) * 100) + "%"
prediction = get_prediction()
print("Prediction: %s" % prediction)
print("Error Margin: %... | normal | {
"blob_id": "25ff54a969651d365de33f2420c662518dd63738",
"index": 864,
"step-1": "<mask token>\n\n\ndef loop(run_state):\n error = 1\n simulations = 1\n while run:\n error_margin = str(error / simulations * 100) + '%'\n prediction = get_prediction()\n print('Prediction: %s' % predict... | [
5,
6,
7,
8,
9
] |
"""byte - property model module."""
from __future__ import absolute_import, division, print_function
class BaseProperty(object):
"""Base class for properties."""
def get(self, obj):
"""Get property value from object.
:param obj: Item
:type obj: byte.model.Model
"""
ra... | normal | {
"blob_id": "382f7119beba81087c497baf170eb6814c26c03e",
"index": 5458,
"step-1": "<mask token>\n\n\nclass BaseProperty(object):\n <mask token>\n <mask token>\n\n def set(self, obj, value):\n \"\"\"Set property value on object.\n\n :param obj: Item\n :type obj: byte.model.Model\n\n ... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/python
import sys,os
import argparse
import subprocess
from pprint import pprint
chroot_start_path="/srv/chroot"
chroots_conf="/etc/schroot/chroot.d"
build_pkgs = 'build-essential fakeroot devscripts apt-utils'
include = 'eatmydata,ccache,lintian'
distro_conf={
'debootstrap_mirror':None,
'componen... | normal | {
"blob_id": "600691b87f7776e96bbf439d7195b870ed86090b",
"index": 1145,
"step-1": "<mask token>\n\n\ndef configure_distro(distro='debian', arch='i386', release='unstable'):\n if distro not in ['ubuntu', 'debian']:\n print('Unknown Distro %s' % distro)\n return False\n if distro == 'ubuntu':\n ... | [
2,
3,
4,
5,
6
] |
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
from scipy.misc import imread
import os
import numpy as np
files = [ "oracle.PNG",
"SQL.jpg" ]
def plotImage(f):
folder = "C:/temp/"
im = imread(os.path.join(folder, f)).astype(np.float32) / 255
plt.im... | normal | {
"blob_id": "146db68fb84569b914fa741457c595108088dc63",
"index": 7199,
"step-1": "<mask token>\n\n\ndef plotImage(f):\n folder = 'C:/temp/'\n im = imread(os.path.join(folder, f)).astype(np.float32) / 255\n plt.imshow(im)\n a = plt.gca()\n a.get_xaxis().set_visible(False)\n a.get_yaxis().set_vis... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
"""
《Engineering a Compiler》
即《编译器设计第二版》
https://www.clear.rice.edu/comp412/
"""
# 《parsing-techniques》 讲前端
## http://parsing-techniques.duguying.net/ebook/2/1/3.html
"""
前端看Parsing Techniques，后端看鲸书，都是最好的。
"""
# 《essential of programming language》
# sicp
... | flexible | {
"blob_id": "5663ded291405bcf0d410041485487bb17560223",
"index": 3106,
"step-1": "<mask token>\n",
"step-2": "\n\"\"\"\n《Engineering a Compiler》\n即《编译器设计第二版》\nhttps://www.clear.rice.edu/comp412/\n\"\"\"\n# 《parsing-techniques》 讲前端\n## http://parsing-techniques.duguying.net/ebook/2/1/3.html\n\n\"\"\"\n前端看Parsin... | [
0,
1
] |
import struct
def parse(message):
return IGENMessage.from_bytes(message)
class IGENMessage(object):
def __init__(self):
self.serial = None
self.temperature = None
self.pv1 = 0
self.pv2 = 0
self.pv3 = 0
self.pa1 = 0
self.pa2 = 0
self.pa3 = 0
... | normal | {
"blob_id": "5df42a024e1edbe5cc977a814efe580db04b8b76",
"index": 2386,
"step-1": "<mask token>\n\n\nclass IGENMessage(object):\n\n def __init__(self):\n self.serial = None\n self.temperature = None\n self.pv1 = 0\n self.pv2 = 0\n self.pv3 = 0\n self.pa1 = 0\n s... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
def GetPage5Docx(fileNameWithPath):
word = Dispatch('Word.Application')
word.Visible = False
word = word.Documents.Open(fileNameWithPath)
word.Repaginate()
num_of_sheets = word.ComputeStatistics(2)
return num_of_sheets
def GetPage5PPT(fileNameWithPath):
Appli... | flexible | {
"blob_id": "67f09cd8b41c7a4fe457766dfed916aaf71cc20d",
"index": 9489,
"step-1": "<mask token>\n\n\ndef GetPage5Docx(fileNameWithPath):\n word = Dispatch('Word.Application')\n word.Visible = False\n word = word.Documents.Open(fileNameWithPath)\n word.Repaginate()\n num_of_sheets = word.ComputeStat... | [
2,
3,
4,
5,
6
] |
# Input Output test (입출력 테스트 )
"""
날짜 : 2021/04/27
이름 : 이지영
내용 : 파이썬 표준입출력 실습 _ 교재 p42
"""
# 파이썬 표준 출력
print('hello', end='!') #print : 출력함수 (자바에선 document.write('hello');)
print('python')
print('010', '1234', '1111', sep='-') # seperate 값
# 파이썬 표준 입력
num = input('숫자입력 : ')
print('입력한 숫자 :', num)
print('num type :'... | normal | {
"blob_id": "cc628270a973866025a5e2a5d07e39b4dbdcd324",
"index": 1718,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('hello', end='!')\nprint('python')\nprint('010', '1234', '1111', sep='-')\n<mask token>\nprint('입력한 숫자 :', num)\nprint('num type :', type(num))\n<mask token>\nprint('result :', resu... | [
0,
1,
2,
3
] |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import copy
import json
import os
import convlab
from convlab.modules.dst.multiwoz.dst_util import init_state
from convlab.modules.dst.multiwoz.dst_util import normalize_value
from convlab.modules.dst.state_tracker import Tracker
from convlab.mo... | normal | {
"blob_id": "8de82d09c8a9a1c1db59b0cac9cf8dda04f35847",
"index": 3335,
"step-1": "<mask token>\n\n\nclass RuleDST(Tracker):\n <mask token>\n\n def __init__(self):\n Tracker.__init__(self)\n self.state = init_state()\n prefix = os.path.dirname(os.path.dirname(convlab.__file__))\n ... | [
3,
4,
5,
6,
7
] |
import boto3
import os
from trustedadvisor import authenticate_support
accountnumber = os.environ['Account_Number']
rolename = os.environ['Role_Name']
rolesession = accountnumber + rolename
def lambda_handler(event, context):
sts_client = boto3.client('sts')
assumerole = sts_client.assume_role(
Role... | normal | {
"blob_id": "539431649e54469ddbe44fdbd17031b4449abdd9",
"index": 5867,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef lambda_handler(event, context):\n sts_client = boto3.client('sts')\n assumerole = sts_client.assume_role(RoleArn='arn:aws:iam::' +\n accountnumber + ':role/' + rolena... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class GoldenTemplate(BasicTemplate):
<|reserved_special_token_0|>
sidebar_width = param.Integer(default=20, constant=True, doc=
"""
The width of the sidebar in percent.""")
_css = pathlib.Path(__file__).parent / 'golden.css'
_template = pathlib.Path(__file_... | flexible | {
"blob_id": "5bfb69d1608b397d6a19e663164a30089e4f67ad",
"index": 2859,
"step-1": "<mask token>\n\n\nclass GoldenTemplate(BasicTemplate):\n <mask token>\n sidebar_width = param.Integer(default=20, constant=True, doc=\n \"\"\"\n The width of the sidebar in percent.\"\"\")\n _css = pathlib.Pa... | [
4,
5,
6,
7,
8
] |
import sys
numList = list(range(3))
for i in range(3):
numList[i] = int(sys.stdin.readline())
result = numList[0] * numList[1] * numList[2]
resultList = list(str(result))
intList = list(range(10))
for i in intList:
print(resultList.count(str(i)))
| normal | {
"blob_id": "c3de6cd76ca7180a1a4d236bb2a6a18f7594f38b",
"index": 1304,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(3):\n numList[i] = int(sys.stdin.readline())\n<mask token>\nfor i in intList:\n print(resultList.count(str(i)))\n",
"step-3": "<mask token>\nnumList = list(range(3)... | [
0,
1,
2,
3
] |
def get_bios_boot_order(self):
result = {
}
boot_device_list = []
boot_device_details = []
key = 'Bios'
bootsources = 'BootSources'
response = self.get_request((self.root_uri + self.systems_uri))
if (response['ret'] is False):
return response
result['ret'] = True
... | normal | {
"blob_id": "bbe7df31a44ccf51c305cd620dc7c4155b7e1a97",
"index": 2668,
"step-1": "<mask token>\n",
"step-2": "def get_bios_boot_order(self):\n result = {}\n boot_device_list = []\n boot_device_details = []\n key = 'Bios'\n bootsources = 'BootSources'\n response = self.get_request(self.root_ur... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def read_chunk(reader, chunk_size):
data = {}
for i in range(chunk_size):
ret = reader.read_next()
for k, v in ret.items():
if k not in data:
data[k] = []
data[k].a... | flexible | {
"blob_id": "dc28c3426f47bef8b691a06d54713bc68696ee44",
"index": 8309,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef read_chunk(reader, chunk_size):\n data = {}\n for i in range(chunk_size):\n ret = reader.read_next()\n for k, v in ret.items():\n if k not in data:\... | [
0,
1,
2,
3
] |
from django.apps import AppConfig
class FitnerappConfig(AppConfig):
name = 'fitnerapp'
| normal | {
"blob_id": "6546d04d3755d62d1a8756bdec1a10f6f018dcea",
"index": 5638,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass FitnerappConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass FitnerappConfig(AppConfig):\n name = 'fitnerapp'\n",
"step-4": "from django.apps impo... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class WorkersOrchestrator:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class WorkersOrchestrator:
@classmethod
def worker_func(cls, worker):
worker.start_consumption()
<|reserved_spec... | flexible | {
"blob_id": "6a4a5eac1b736ee4f8587adba298571f90df1cf9",
"index": 8864,
"step-1": "<mask token>\n\n\nclass WorkersOrchestrator:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass WorkersOrchestrator:\n\n @classmethod\n def worker_func(cls, worker):\n worker.start_consumption... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class PlayOut(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
self.wavefiles = [f for f in listdir('./en') if path.isfile(path.
join('./en', f))]
def run(self):
for wav in list(self.wavefiles):
global flgPlay... | flexible | {
"blob_id": "8c458d66ab2f9a1bf1923eecb29c3c89f2808d0b",
"index": 3889,
"step-1": "<mask token>\n\n\nclass PlayOut(threading.Thread):\n\n def __init__(self):\n threading.Thread.__init__(self)\n self.wavefiles = [f for f in listdir('./en') if path.isfile(path.\n join('./en', f))]\n\n ... | [
3,
4,
5,
6,
7
] |
from flask import Flask, request, render_template
from utils import get_result
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route("/result", methods=["POST"])
def result():
form_data = request.form
sentence = form_data['sentence']
output = get_result... | normal | {
"blob_id": "264da5a2ab7d5c311d8a59b06c81ea2156cefd76",
"index": 9627,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n return render_template('index.html')\n\n\n@app.route('/result', methods=['POST'])\ndef result():\n form_data = request.form\n sentence = form_data['sentence']\n output =... | [
2,
3,
4,
5,
6
] |
class car:
def info(self):
print(self.speed, self.color, self.model)
def increment(self):
print('increment')
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class car:
def info(self):
print(self.speed, self.color, self.model)
de... | flexible | {
"blob_id": "022f588455d8624d0b0107180417f65816254cb1",
"index": 8687,
"step-1": "class car:\n\n def info(self):\n print(self.speed, self.color, self.model)\n\n def increment(self):\n print('increment')\n <mask token>\n\n\n<mask token>\n",
"step-2": "class car:\n\n def info(self):\n ... | [
3,
4,
5,
6
] |
files = [
"arria2_ddr3.qip"
]
| normal | {
"blob_id": "cad881dd29be16de8375b3ce6e4a437562a05097",
"index": 5426,
"step-1": "<mask token>\n",
"step-2": "files = ['arria2_ddr3.qip']\n",
"step-3": "files = [\n \"arria2_ddr3.qip\"\n ]\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from arma_scipy.fit import fit, predict
| flexible | {
"blob_id": "0f6512bb734336a67eab2f13949dd960f5ffc1d5",
"index": 7758,
"step-1": "<mask token>\n",
"step-2": "from arma_scipy.fit import fit, predict\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
#-*- coding: utf-8 -*-
from SPARQLWrapper import SPARQLWrapper, SPARQLWrapper2, JSON
import time, random
# testes
NOW=time.time()
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
sparql.setQuery("""
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label
WHERE { <http://dbpedia.org/resource/L... | normal | {
"blob_id": "c5b50420788ddde7483a46c66aca3922ddb47952",
"index": 6199,
"step-1": "<mask token>\n\n\ndef document_features(documento):\n features = {}\n for palavra in palavras_escolhidas:\n features['contains(%s)' % (palavra,)] = palavra in documento\n return features\n\n\n<mask token>\n",
"ste... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def hmac_sha1_token():
timestamp = str(time.time())
hmac_pass = hmac.new(b'some very secret string', timestamp.encode(
'utf-8'), hashlib.sha1).hexdigest()
token = '%s:%s' % (timestamp, hmac_pass)
return t... | flexible | {
"blob_id": "65ef3b2ed5eef3d9d9e682ca18cf84457e929df2",
"index": 2222,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef hmac_sha1_token():\n timestamp = str(time.time())\n hmac_pass = hmac.new(b'some very secret string', timestamp.encode(\n 'utf-8'), hashlib.sha1).hexdigest()\n toke... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def test_create_table_with_default_options(pawprint_default_tracker_db):
"""Ensure the table is correctly created with the default schema."""
tracker = pawprint_default_tracker_db
assert tracker.create_table() is None
with pytest.raises(ProgrammingError):
tracker.c... | flexible | {
"blob_id": "89a75ae980b7b48d33d0e8aa53ec92296dbfbc8e",
"index": 2843,
"step-1": "<mask token>\n\n\ndef test_create_table_with_default_options(pawprint_default_tracker_db):\n \"\"\"Ensure the table is correctly created with the default schema.\"\"\"\n tracker = pawprint_default_tracker_db\n assert track... | [
8,
15,
18,
20,
21
] |
from funct import read_excel
import requests
import unittest
import HTMLTestReportCN
class v2exapi(unittest.TestCase):
def test_node_api(self):
url = "https://www.v2ex.com/api/nodes/show.json"
#querystring = {"name":"php"}
a=read_excel("xx.xlsx",0,0)
for node_name in a:
#fo... | normal | {
"blob_id": "5cd573f2b7f91a8b20e96deb1004c0ef7fc62398",
"index": 8072,
"step-1": "<mask token>\n\n\nclass v2exapi(unittest.TestCase):\n\n def test_node_api(self):\n url = 'https://www.v2ex.com/api/nodes/show.json'\n a = read_excel('xx.xlsx', 0, 0)\n for node_name in a:\n respon... | [
2,
3,
4,
5,
6
] |
from tkinter import *
# Everything in tkinter is a widget
# We start with the Root Widget
root = Tk()
# Creating a Label Widget
myLabel1 = Label(root, text="Hello User!")
myLabel2 = Label(root, text="Welcome to medBOT")
# Put labels onto the screen
myLabel1.grid(row=0, column=0)
myLabel2.grid(row=1, column=0)
# Grid... | normal | {
"blob_id": "93fe16e5a97ec2652c4f6b8be844244d9776ea2e",
"index": 4921,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmyLabel1.grid(row=0, column=0)\nmyLabel2.grid(row=1, column=0)\nroot.mainloop()\n",
"step-3": "<mask token>\nroot = Tk()\nmyLabel1 = Label(root, text='Hello User!')\nmyLabel2 = Label(ro... | [
0,
1,
2,
3,
4
] |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from keras.layers import Dense, Input
from keras.layers import Conv2D, Flatten, Lambda
from keras.layers import Reshape, Conv2DTranspose
from keras.models import Model
from keras.losses import mse, binary_cross... | normal | {
"blob_id": "88343b9c5cac3510e8cea75ac5b11f517ddc164b",
"index": 5943,
"step-1": "<mask token>\n\n\ndef sampling(args):\n \"\"\"Reparameterization trick by sampling fr an isotropic unit Gaussian.\n # Arguments\n args (tensor): mean and log of variance of Q(z|X)\n # Returns\n z (tensor): sa... | [
2,
3,
4,
5,
6
] |
from bs4 import BeautifulSoup
import os, re, json
import pandas as pd
from urllib import request
from openpyxl import load_workbook
from bilibili.append_xlsx import append_df_to_excel
# 获取页面的所有的avid, title, url
def parse_html(content):
arr = []
# 使用beautifulsoup解析html文档
soup = BeautifulSoup(content)
... | normal | {
"blob_id": "a63718ba5f23d6f180bdafcb12b337465d6fa052",
"index": 4734,
"step-1": "<mask token>\n\n\ndef read_path(path):\n path_set = set()\n dir_path = os.listdir(path)\n for item in dir_path:\n child = os.path.join('%s/%s' % (path, item))\n path_set.add(child)\n return path_set\n\n\nd... | [
4,
5,
7,
8,
10
] |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
import bootcamp_utils
import numba
@numba.jit(nopython=True)
def backtrack_steps():
"""
Compute the number of steps it takes a 1d random walker starting
at zero to get to +1.
"""
# Initialize p... | normal | {
"blob_id": "00a2992af78f9edadd3f4cbc7d073c1f74fcd9a2",
"index": 2810,
"step-1": "<mask token>\n\n\n@numba.jit(nopython=True)\ndef backtrack_steps():\n \"\"\"\n Compute the number of steps it takes a 1d random walker starting\n at zero to get to +1.\n \"\"\"\n x = 0\n n_steps = 0\n while x <... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class CollectionMixin(with_metaclass(ABCMeta, object)):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CollectionMixin(with_metaclass(ABCMeta, object)):
<|reserved_special_token_0|>
def iterat... | flexible | {
"blob_id": "b63ed9e09b9e8c539aff765d719f3610283663fe",
"index": 4496,
"step-1": "<mask token>\n\n\nclass CollectionMixin(with_metaclass(ABCMeta, object)):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CollectionMixin(with_metaclass(ABCMeta, object)):\n <mask token>\n\n def i... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class RelationshipPrediction(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __unicode__(self):
return u'%s <- %s: %f, %s' % (self.subject, self.object_, self.
expectancy, ... | flexible | {
"blob_id": "c3de9e6129bcafd863cd330ac281345fb563cc8c",
"index": 6259,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass RelationshipPrediction(object):\n <mask token>\n <mask token>\n\n def __unicode__(self):\n return u'%s <- %s: %f, %s' % (self.subject, self.object_, self.\n ... | [
0,
2,
3,
4,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
with open('id_generator.bin', 'rb') as f:
print(pickle.load(f))
<|reserved_special_token_1|>
import pickle
if __name__ == '__main__':
with open('id_generator.bin', 'rb') as f:
... | flexible | {
"blob_id": "080110e404cf5edfe53622a5942b53f9188ddd76",
"index": 1854,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n with open('id_generator.bin', 'rb') as f:\n print(pickle.load(f))\n",
"step-3": "import pickle\nif __name__ == '__main__':\n with open('id_gene... | [
0,
1,
2
] |
"""
Python package setup file.
"""
from setuptools import setup
setup(
name="TF_Speech",
version="0.2.0",
extras_require={'tensorflow': ['tensorflow'],
'tensorflow with gpu': ['tensorflow-gpu']},
)
| normal | {
"blob_id": "97ebdeada3d797a971b5c3851b75f9754595f67c",
"index": 358,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='TF_Speech', version='0.2.0', extras_require={'tensorflow': [\n 'tensorflow'], 'tensorflow with gpu': ['tensorflow-gpu']})\n",
"step-3": "<mask token>\nfrom setuptools impo... | [
0,
1,
2,
3
] |
# __author__: Stanley
# date: 2018/10/22
class Foo:
def __init__(self, name, age):
self.name = name
self.age = age
def __getitem__(self, item):
return item + 10
def __setitem__(self, key, value):
print(key, value)
def __delitem__(self, key):
print(key)
obj =... | normal | {
"blob_id": "d4b9403366a16dfbb12a2161a996e641b3a785a5",
"index": 8027,
"step-1": "class Foo:\n <mask token>\n <mask token>\n\n def __setitem__(self, key, value):\n print(key, value)\n <mask token>\n\n\n<mask token>\n",
"step-2": "class Foo:\n\n def __init__(self, name, age):\n self... | [
2,
4,
6,
7,
8
] |
# # 8/19/2020
# Of course, binary classification is just a single special case. Target encoding could be applied to any target variable type:
# For binary classification usually mean target encoding is used
# For regression mean could be changed to median, quartiles, etc.
# For multi-class classification with N classe... | normal | {
"blob_id": "5433e75bdc46d5a975969e7ece799174dc9b8713",
"index": 2918,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(test[['RoofStyle', 'RoofStyle_enc']].drop_duplicates())\n",
"step-3": "train['RoofStyle_enc'], test['RoofStyle_enc'] = mean_target_encoding(train=\n train, test=test, target='S... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class RwidSpider(scrapy.Spider):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def parse(self, response):
data = {'username': 'user', 'password': 'user12345'}
return scrapy.FormRequest(url='http://0.0.0.0:9999/login... | flexible | {
"blob_id": "2185d332f7cd4cbf17d6b72a19297d156c2182a1",
"index": 2233,
"step-1": "<mask token>\n\n\nclass RwidSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n\n def parse(self, response):\n data = {'username': 'user', 'password': 'user12345'}\n return scrapy.FormReq... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
os.chdir(common.root)
shutil.rmtree('shared/target', ignore_errors=True)
shutil.rmtree('platform/build', ignore_errors=True)
shutil.rmtree('platform/target', ignore_errors=True)
shutil.rmtree('tes... | flexible | {
"blob_id": "2305d0b7ec0d9e08e3f1c0cedaafa6ed60786e50",
"index": 7359,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n os.chdir(common.root)\n shutil.rmtree('shared/target', ignore_errors=True)\n shutil.rmtree('platform/build', ignore_errors=True)\n shutil.rmtree('platform/ta... | [
0,
1,
2,
3,
4
] |
import tkinter as tk
import random
root = tk.Tk()
main_frame = tk.Frame(root)
var = tk.StringVar()
ch = [ "hello world" , "HI Pyton", "Mar Java", "Mit Java", "Lut Java" ]
var.set("Hello world I am a Label")
label = tk.Label(main_frame,textvariable=var,
bg="black",fg="white",font=("Times New Roman",24,"bold"))
... | normal | {
"blob_id": "33938a28aad29e996255827825a0cdb1db6b70b7",
"index": 5842,
"step-1": "<mask token>\n\n\ndef change_label():\n var.set(random.choice(ch))\n\n\n<mask token>\n\n\ndef slove():\n expr.set(eval(expr.get()))\n\n\n<mask token>\n\n\ndef clear():\n expr.set('')\n\n\n<mask token>\n",
"step-2": "<mas... | [
3,
4,
5,
6,
7
] |
import copy
import os
from datetime import datetime
import numpy as np
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import normalize
ROOT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../')
DATA_FILE = os.path.join(ROOT_DIR, 'data/data_train.csv')
TRAINING_FILE_NAME = os.... | normal | {
"blob_id": "af1eab58fd641b14ac054fa26e28d52c9741fb16",
"index": 7675,
"step-1": "<mask token>\n\n\ndef ratings_to_matrix(ratings):\n matrix_rows = USER_COUNT\n matrix_cols = ITEM_COUNT\n matrix = np.zeros([matrix_rows, matrix_cols])\n for row, col, rating in ratings:\n matrix[row, col] = rati... | [
16,
19,
21,
22,
24
] |
#! /usr/bin/env python
import os
import re
from codecs import open
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
def get_changelog():
with open(os.path.join(here, 'CHANGELOG'), encoding='utf-8') as f:
text = f.read()
header_matches = list(re.finditer... | normal | {
"blob_id": "c81889cf4d87933b562aa4618bc5185a8d213107",
"index": 8075,
"step-1": "<mask token>\n\n\ndef get_changelog():\n with open(os.path.join(here, 'CHANGELOG'), encoding='utf-8') as f:\n text = f.read()\n header_matches = list(re.finditer('^=+$', text, re.MULTILINE))\n text = text[:header_ma... | [
1,
2,
3,
4,
5
] |
import sys
n = int(sys.stdin.readline().rstrip())
l = list(map(int,sys.stdin.readline().rstrip().split()))
m = int(sys.stdin.readline().rstrip())
v = list(map(int,sys.stdin.readline().rstrip().split()))
card = [0] * (max(l)-min(l)+1)
a = min(l)
b = max(l)
for i in l:
card[i-a]+=1
for j in v:
if ((j>=a)&(j<... | normal | {
"blob_id": "6b0081e829f9252e44fa7b81fbfcdd4115856373",
"index": 3748,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in l:\n card[i - a] += 1\nfor j in v:\n if (j >= a) & (j <= b):\n print(card[j - a], end=' ')\n else:\n print(0, end=' ')\n",
"step-3": "<mask token>\nn = i... | [
0,
1,
2,
3,
4
] |
from django.urls import path
from main.views import IndexView, BuiltinsView, CustomView
app_name = 'main'
urlpatterns = [path('', IndexView.as_view(), name='index'), path(
'builtins/', BuiltinsView.as_view(), name='builtins'), path('custom/',
CustomView.as_view(), name='custom')]
| normal | {
"blob_id": "7b527f9ec66ddf35f3395d78c857c021975402c7",
"index": 5141,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'main'\nurlpatterns = [path('', IndexView.as_view(), name='index'), path(\n 'builtins/', BuiltinsView.as_view(), name='builtins'), path('custom/',\n CustomView.as_view(),... | [
0,
1,
2
] |
from django.db import models
class TestModel(models.Model):
name = models.CharField(max_length=15)
surname = models.CharField(max_length=10)
age = models.IntegerField()
class Example(models.Model):
integer_field = models.IntegerField()
positive_field = models.PositiveIntegerField()
positive_... | normal | {
"blob_id": "8afce5b47c7c9c67a8be493f7f4de1510352b1c7",
"index": 4559,
"step-1": "<mask token>\n\n\nclass Place(models.Model):\n name = models.CharField(max_length=50)\n address = models.CharField(max_length=80)\n\n def __str__(self):\n return self.name\n\n\nclass Restaurant(models.Model):\n p... | [
10,
12,
16,
17,
21
] |
from django.conf import settings
from django.contrib.sites.models import RequestSite
from django.contrib.sites.models import Site
from fish.labinterface.models import *
from registration import signals
from registration.forms import RegistrationForm
from registration.models import RegistrationProfile
from labinterfac... | normal | {
"blob_id": "201279c0cba2d52b6863204bfadb6291a0065f60",
"index": 3961,
"step-1": "<mask token>\n\n\nclass CustomRegistrationBackend(object):\n <mask token>\n\n def activate(self, request, activation_key):\n activated = RegistrationProfile.objects.activate_user(activation_key)\n if activated:\... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
if len(sys.argv) != 2:
print('usage : %s port')
sys.exit()
port = int(sys.argv[1])
count = 0
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.setsockopt(socket.SOL_SOCK... | flexible | {
"blob_id": "68b9f7317f7c6dcda791338ee642dffb653ac694",
"index": 4804,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n if len(sys.argv) != 2:\n print('usage : %s port')\n sys.exit()\n port = int(sys.argv[1])\n count = 0\n sock = socket.socket(socket.AF_INET, soc... | [
0,
1,
2,
3,
4
] |
###############################################################
# Yolanda Gunter
# Lab 4
# My program uses decisions, repetition, functions, files, lists
# and exception handling that will get the input from a file to
# run program that asks User for current date, reads a contact file
# list that contains... | normal | {
"blob_id": "661f94f5770df1026352ee344d0006466662bb3c",
"index": 2537,
"step-1": "def main():\n try:\n contacts = open('contactsLab4.txt', 'r')\n names = []\n birthdates = []\n name = contacts.readline()\n while name != '':\n names.append(name.rstrip('\\n'))\n ... | [
2,
3,
4,
6,
7
] |
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