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|>
def ranked(country, variety, price, num):
data = pd.read_csv('wine_final.csv')
if num == 0:
return None
if country != '':
data = data.query('country=="{}"'.format(country))
if variety != '':
... | flexible | {
"blob_id": "d983cb4ae79d8370ed0809b86762c1e2ea125320",
"index": 6614,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef ranked(country, variety, price, num):\n data = pd.read_csv('wine_final.csv')\n if num == 0:\n return None\n if country != '':\n data = data.query('country==... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
#coding:utf-8
import jieba.analyse as analyse
from collections import Counter
import time
from os import path
import jieba
import importlib, sys
importlib.reload(sys)
import csv
import pandas as pd
from pandas import DataFrame
jieba.load_userdict("newdict.txt")
d = path.dirname(__fi... | normal | {
"blob_id": "6f3aa4e1309745265bb9d79df5f5a352e54493f9",
"index": 6313,
"step-1": "<mask token>\n\n\ndef removdup():\n train = pd.read_csv('C:\\\\Users\\\\Lenovo\\\\zqrbtest\\\\data.csv')\n train = train['titlec']\n train = set(train)\n data = pd.DataFrame(list(train), columns=['titlec'])\n data.to... | [
1,
2,
3,
4,
5
] |
processed_lines = []
for line in open('9.in'):
if line:
processing_pattern = False
new_line = ''
for idx, char in enumerate(line):
pattern_found = False
if line[idx] == '(' and line[idx + 1].isnumeric() and line[idx + 2
] == 'x' and line[idx + 3].isnum... | normal | {
"blob_id": "3605f46da25eb98767ca8d7248beaa07572d3171",
"index": 644,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in open('9.in'):\n if line:\n processing_pattern = False\n new_line = ''\n for idx, char in enumerate(line):\n pattern_found = False\n ... | [
0,
1,
2
] |
from django import forms
from django.core.exceptions import ValidationError
from django.db import connection
from customer.helper_funcs import dictfetchall
class OrderForm(forms.Form):
item_id = forms.IntegerField(required=True)
quantity = forms.IntegerField(required=True)
def clean(self):
cleane... | normal | {
"blob_id": "b32784bf398a58ba4b6e86fedcdc3ac9de0e8d51",
"index": 3137,
"step-1": "<mask token>\n\n\nclass OrderForm(forms.Form):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass OrderForm(forms.Form):\n <mask token>\n <mask token>\n\n def clean(self):\n ... | [
1,
2,
3,
4,
5
] |
# Generated by Django 3.2.3 on 2021-05-16 07:56
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('problem', '0002_problem_... | normal | {
"blob_id": "7040db119f8fd6da78499fc732e291280228ca10",
"index": 1852,
"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
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution:
def countKDifference(self, nums: List[int], k: int) ->int:
def abs(x, y):
if x - y >= 0:
return x - y
else:
... | flexible | {
"blob_id": "351b2c2a18473e6ac541a96165c69c836ea101de",
"index": 846,
"step-1": "<mask token>\n",
"step-2": "class Solution:\n <mask token>\n",
"step-3": "class Solution:\n\n def countKDifference(self, nums: List[int], k: int) ->int:\n\n def abs(x, y):\n if x - y >= 0:\n ... | [
0,
1,
2,
3
] |
import ftplib
def ftp_download():
file_remote = 'ftp_upload.jpg'
file_local = '/home/pi/Desktop/Camera-Rasp-Arduino-sensors/test_download.jpg'
bufsize = 1024
fp = open(file_local, 'wb')
f.retrbinary('RETR ' + file_remote, fp.write, bufsize)
fp.close()
def ftp_upload():
file_remote = '... | normal | {
"blob_id": "a1b85d140c45f082ceac54ad8aa9aa5c3659d5cf",
"index": 9661,
"step-1": "<mask token>\n\n\ndef ftp_download():\n file_remote = 'ftp_upload.jpg'\n file_local = (\n '/home/pi/Desktop/Camera-Rasp-Arduino-sensors/test_download.jpg')\n bufsize = 1024\n fp = open(file_local, 'wb')\n f.re... | [
1,
2,
3,
4,
5
] |
import sys, os, json
sys.path.append(os.path.join(os.path.dirname(__file__), "requests"))
import requests
def findNonPrefixes(prefix, array):
result = []
prefixLength = len(prefix)
for string in array:
if string[0:prefixLength] != prefix:
result.append(string)
return result
def run ():
r = requests.post("... | normal | {
"blob_id": "8419aee5dbc64b51f3c0f364716aad1630f00fe9",
"index": 7173,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef findNonPrefixes(prefix, array):\n result = []\n prefixLength = len(prefix)\n for string in array:\n if string[0:prefixLength] != prefix:\n result.append... | [
0,
2,
3,
4,
5
] |
import pandas as pd
import numpy as np
import pyten.tenclass
import pyten.method
import pyten.tools
def scalable(file_name=None, function_name=None, recover=None, omega=None, r=2, tol=1e-8, maxiter=100, init='random',
printitn=0):
"""
Helios1 API returns CP_ALS, TUCKER_ALS, or NNCP decomposition or... | normal | {
"blob_id": "39fdb9c586c3cf92d493269ceac419e0058a763a",
"index": 380,
"step-1": "import pandas as pd\nimport numpy as np\n\nimport pyten.tenclass\nimport pyten.method\nimport pyten.tools\n\n\ndef scalable(file_name=None, function_name=None, recover=None, omega=None, r=2, tol=1e-8, maxiter=100, init='random',\n ... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def count_words(words, chars):
ans = 0
alphabet = {}
for char in chars:
if char not in alphabet:
alphabet[char] = 1
else:
alphabet[char] += 1
print(f'Montamos o alfabeto: {... | flexible | {
"blob_id": "bf7e3ddaf66f4c325d3f36c6b912b47f4ae22cba",
"index": 4779,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef count_words(words, chars):\n ans = 0\n alphabet = {}\n for char in chars:\n if char not in alphabet:\n alphabet[char] = 1\n else:\n al... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class DataRoutes(CommonRouteExchangeService):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def change_status_in_route(self, tree_route, status):
"""Замена статуса маршрута в маршруте
:param tree_route: Маршрут в фо... | flexible | {
"blob_id": "63069f03d17862b8ea6aa74d0acd1370bbea0dcb",
"index": 836,
"step-1": "<mask token>\n\n\nclass DataRoutes(CommonRouteExchangeService):\n <mask token>\n <mask token>\n <mask token>\n\n def change_status_in_route(self, tree_route, status):\n \"\"\"Замена статуса маршрута в маршруте\n ... | [
3,
5,
7,
8
] |
"""
Forms and validation code for user registration.
Note that all of these forms assume your user model is similar in
structure to Django's default User class. If your user model is
significantly different, you may need to write your own form class;
see the documentation for notes on custom user models with
django-re... | normal | {
"blob_id": "3b959481f7c818ec35b8af174b1982954b4c72eb",
"index": 1208,
"step-1": "<mask token>\n\n\nclass RegistrationFormCaseInsensitive(RegistrationForm):\n <mask token>\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.fields[User.USERNAME_FIELD].validator... | [
8,
12,
14,
15,
16
] |
'''
Twitter settings
Input your app credentials below
https://apps.twitter.com
'''
# consumer key
CONSUMER_KEY = ''
# consumer secret
CONSUMER_SECRET = ''
'''
App settings
'''
# Where to save tokens (JSON)
TOKENS_PATH = '/tmp/twitter-tokens.json'
# Redirect-back to URL after authenticated (optional)
REDIRECT_TO = ''... | normal | {
"blob_id": "9cc64edc81ab39b0ab2cd47661c9809545b03ac6",
"index": 3230,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nCONSUMER_KEY = ''\nCONSUMER_SECRET = ''\n<mask token>\nTOKENS_PATH = '/tmp/twitter-tokens.json'\nREDIRECT_TO = ''\nFLASK_SECRET = 'S$2[ShC-=BKKOQ.Z-|fa 6f;,5 <[QngmG)}5,s%0vX>B}?o-0X9PM;.... | [
0,
1,
2
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@File : corr2d.py
@Author : jeffsheng
@Date : 2020/1/3
@Desc : 卷积层中的互相关（cross-correlation）运算
卷积层需要学习的参数是：卷积核和偏置大小
"""
import tensorflow as tf
def corr2d(X, K):
"""
定义二维互相关运算函数
:param X:输入数组
:param K: 核数组
:return:二维互相关的运算结果
"""
h, w = K.sh... | normal | {
"blob_id": "3f473701b186b5287258ba74e478cccdad0f29bf",
"index": 2463,
"step-1": "<mask token>\n\n\ndef corr2d(X, K):\n \"\"\"\n 定义二维互相关运算函数\n :param X:输入数组\n :param K: 核数组\n :return:二维互相关的运算结果\n \"\"\"\n h, w = K.shape\n Y = tf.Variable(tf.zeros((X.shape[0] - h + 1, X.shape[1] - w + 1)))... | [
1,
2,
3,
4,
5
] |
import os
import numpy as np
from . import tmp_dir_fixture
from . import TEST_SAMPLE_DATA
def test_tensor_dataset_functional():
from dtoolai.data import TensorDataSet
tds_uri = os.path.join(TEST_SAMPLE_DATA, "example_tensor_dataset")
tds = TensorDataSet(tds_uri)
assert tds.name == "example_tenso... | normal | {
"blob_id": "97dfcce6e82ef33334b49de72bb126150dfef196",
"index": 2844,
"step-1": "<mask token>\n\n\ndef test_create_tensor_dataset_from_arrays(tmp_dir_fixture):\n pass\n",
"step-2": "<mask token>\n\n\ndef test_image_dataset_functional():\n from dtoolai.data import ImageDataSet\n ids_uri = 'http://bit.... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def treasure(update, context):
msg1 = """
欢迎来到寻宝游戏！这是一场惊悚又危险追逐战，智慧，运气和勇气都是成功的关键！记得要避开海盗！读一读规则吧！
1. 系统会自动给你分配即将要发生的事，做好心理准备!
2. 好的外表不一定有好的结果...
3. 点击按钮开始寻宝!
-----------------------
请开始你的航海之旅吧！祝你玩的开心!
"""
update.message.reply_text(msg1, reply_markup=kb2)... | flexible | {
"blob_id": "bc3e94c3fb8e563f62fcf0ca628d4aa73c668612",
"index": 7097,
"step-1": "<mask token>\n\n\ndef treasure(update, context):\n msg1 = \"\"\"\n 欢迎来到寻宝游戏！这是一场惊悚又危险追逐战，智慧，运气和勇气都是成功的关键！记得要避开海盗！读一读规则吧！\n 1. 系统会自动给你分配即将要发生的事，做好心理准备!\n 2. 好的外表不一定有好的结果...\n 3. 点击按钮开始寻宝!\n -----------------------\... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
enquiryUrlPattern = [url('daily-rate-enquiry', views.
daily_rate_enquiry_form), re_path('^contact-us-landing-page/$', views.
contact_us_landing_page)]
<|reserved_special_token_1|>
from . import views
from django.conf.ur... | flexible | {
"blob_id": "ccf1710cff972eaa06e1ccb5ebedc70d946e3215",
"index": 4906,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nenquiryUrlPattern = [url('daily-rate-enquiry', views.\n daily_rate_enquiry_form), re_path('^contact-us-landing-page/$', views.\n contact_us_landing_page)]\n",
"step-3": "from . im... | [
0,
1,
2,
3
] |
import sys
import os
from configparser import ConfigParser
import logging
from mod_argparse import setup_cli
from checkers.IndexFile import DocumentIndex, ProgressNoteIndex
from checkers import source_files
from utilities import write_to_file, strip # , write_to_db_isok
# import pandas as pd
logger = logging.getLogger... | normal | {
"blob_id": "e38ae7f91deed1be00e60b7516210ea1feefe23e",
"index": 285,
"step-1": "<mask token>\n\n\ndef folders_with_documents(pat_ids, main_dir_name, doc_prog_folder):\n str_pat_ids = [str(pat_id) for pat_id in pat_ids]\n str_pat_folder_names = [os.path.join(main_dir_name, os.path.join(\n str_pat_id... | [
4,
5,
6,
7,
8
] |
#!/usr/local/bin/python
import requests as rq
import sqlite3 as sq
from dateutil import parser
import datetime
import pytz
import json
from os.path import expanduser
import shutil
from os.path import isfile
import time
#FRED Config
urls = {'FRED':"http://api.stlouisfed.org/fred"}
urls['FRED_SER'] = urls['FRED'] + "/se... | normal | {
"blob_id": "8dfb1312d82bb10f2376eb726f75a4a596319acb",
"index": 3143,
"step-1": "#!/usr/local/bin/python\nimport requests as rq\nimport sqlite3 as sq\nfrom dateutil import parser\nimport datetime\nimport pytz\nimport json\nfrom os.path import expanduser\nimport shutil\nfrom os.path import isfile\nimport time\n#... | [
0
] |
<|reserved_special_token_0|>
@app.route('/api/orders/update/<int:orderID>', methods=['GET', 'PUT',
'POST', 'DELETE'])
def update_ticket(orderID):
try:
if request.method != 'PUT':
abort(405)
logger.error(
f'ConnectionError issue while fetching tickets{request.met... | flexible | {
"blob_id": "bb58b4384eaeec45be1af865012c618af05f5a0a",
"index": 9667,
"step-1": "<mask token>\n\n\n@app.route('/api/orders/update/<int:orderID>', methods=['GET', 'PUT',\n 'POST', 'DELETE'])\ndef update_ticket(orderID):\n try:\n if request.method != 'PUT':\n abort(405)\n logger... | [
3,
4,
5,
7,
8
] |
<|reserved_special_token_0|>
def test_notExisting_channel():
db.reset_DB()
auth_register('testmail@gmail.com', 'pas123456', 'Bob', 'Smith')
realtoken = Token.generateToken('testmail@gmail.com')
fake_channel = 70
with pytest.raises(ValueError):
standup_start(realtoken, fake_channel, 5)
<|... | flexible | {
"blob_id": "b6715ad42d59720eb021973394a0b7bfd540181b",
"index": 4338,
"step-1": "<mask token>\n\n\ndef test_notExisting_channel():\n db.reset_DB()\n auth_register('testmail@gmail.com', 'pas123456', 'Bob', 'Smith')\n realtoken = Token.generateToken('testmail@gmail.com')\n fake_channel = 70\n with ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def register_user():
try:
email = request.json['email']
password = request.json['password']
except KeyError:
status = constants.statuses['user']['missingData']
body = create_error_with_sta... | flexible | {
"blob_id": "73a4b3497952f90029ba24b73b835de53fc687ec",
"index": 3349,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef register_user():\n try:\n email = request.json['email']\n password = request.json['password']\n except KeyError:\n status = constants.statuses['user']['... | [
0,
1,
2,
3
] |
from tkinter import *
janela = Tk()
janela.title("Teste de frame")
janela.geometry("800x600")
frame = Frame(janela, width = 300, height = 300, bg = 'red').grid(row = 0, column = 0)
#frames servem para caso queira colocar labels e butoes dentro de uma area especifica
#assim deve se declarar o frame como pai no inicio ... | normal | {
"blob_id": "4ae24d1e39bdcde3313a8a0c8029a331864ba40e",
"index": 6985,
"step-1": "<mask token>\n",
"step-2": "<mask token>\njanela.title('Teste de frame')\njanela.geometry('800x600')\n<mask token>\nLabel(frame, text='lsdakçasd').grid(row=0, column=0)\njanela.mainloop()\n",
"step-3": "<mask token>\njanela = T... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def makeAnagram(a, b):
ct_a = Counter(a)
ct_b = Counter(b)
ct_a.subtract(ct_b)
return sum(abs(i) for i in ct_a.values())
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>... | flexible | {
"blob_id": "3b15767988f1d958fc456f7966f425f93deb9017",
"index": 8302,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef makeAnagram(a, b):\n ct_a = Counter(a)\n ct_b = Counter(b)\n ct_a.subtract(ct_b)\n return sum(abs(i) for i in ct_a.values())\n\n\n<mask token>\n",
"step-3": "<mask t... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def main():
cv2.namedWindow('image')
cv2.setMouseCallback('image', movemouse)
cv2.waitKey()
cv2.destroyAllWindows()
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def movemouse(event, x, y, flags, param):
global img
im... | flexible | {
"blob_id": "cae0aeea2ebd0a429cf6ecc9acab8f5f103e9669",
"index": 1989,
"step-1": "<mask token>\n\n\ndef main():\n cv2.namedWindow('image')\n cv2.setMouseCallback('image', movemouse)\n cv2.waitKey()\n cv2.destroyAllWindows()\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef movemouse(event, x, ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def validator(pattern, promt):
text = input(promt)
while not bool(pattern.match(text)):
text = input(promt)
return text
def number_validator(promt):
number = float(validator(re_number, promt))
return number
def len_line(x, y):
length = (x ** 2 + y ** 2)... | flexible | {
"blob_id": "2d5993489ff3120d980d29edbb53422110a5c039",
"index": 3561,
"step-1": "<mask token>\n\n\ndef validator(pattern, promt):\n text = input(promt)\n while not bool(pattern.match(text)):\n text = input(promt)\n return text\n\n\ndef number_validator(promt):\n number = float(validator(re_nu... | [
3,
4,
5,
6,
7
] |
import urlparse
import twitter
import oauth2 as oauth
import re
import urllib
url_checker = dict()
def twitter_auth():
consumer_key = 'IqsuEo5xfTdWwjD1GZNSA'
consumer_secret = 'dtYmqEekw53kia3MJhvDagdByWGxuTiqJfcdGkXw8A'
request_token_url = 'https://api.twitter.com/oauth/request_token'
access_token_... | normal | {
"blob_id": "afa20d7e9c7843a03090c00cc888d44a77fc29f3",
"index": 9205,
"step-1": "<mask token>\n\n\ndef twitter_auth():\n consumer_key = 'IqsuEo5xfTdWwjD1GZNSA'\n consumer_secret = 'dtYmqEekw53kia3MJhvDagdByWGxuTiqJfcdGkXw8A'\n request_token_url = 'https://api.twitter.com/oauth/request_token'\n acces... | [
4,
6,
8,
10,
11
] |
'''
Code for mmDGM
Author: Chongxuan Li (chongxuanli1991@gmail.com)
Version = '1.0'
'''
import gpulearn_mm_z_x
import sys, os
import time
import color
n_hidden = (500,500)
if len(sys.argv) > 2:
n_hidden = tuple([int(x) for x in sys.argv[2:]])
nz=500
if os.environ.has_key('nz'):
nz = int(os.environ['nz'])
if os.en... | normal | {
"blob_id": "40158bbfd9c95a8344f34431d0b0e98c4a1bf6ed",
"index": 476,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(sys.argv) > 2:\n n_hidden = tuple([int(x) for x in sys.argv[2:]])\n<mask token>\nif os.environ.has_key('nz'):\n nz = int(os.environ['nz'])\nif os.environ.has_key('stepsize'):\... | [
0,
1,
2,
3,
4
] |
#1. Create a greeting for your program.
print("Welcome to the Band Name Generator")
#2. Ask the user for the city that they grew up in.
city = input("Which city did you grew up in?\n")
#3. Ask the user for the name of a pet.
pet = input("What is the name of the pet?\n")
#4. Combine the name of their city and pet an... | normal | {
"blob_id": "19962e94afdd3edf298b28b9954f479fefa3bba8",
"index": 8656,
"step-1": "<mask token>\n",
"step-2": "print('Welcome to the Band Name Generator')\n<mask token>\nprint('Your band name could be ', Band_name)\n",
"step-3": "print('Welcome to the Band Name Generator')\ncity = input('Which city did you ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
init()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
lib = ctypes.CDLL('/home/ubuntu/workspace/35SmartPy/CAN/brain/CANlib.so')
init = lib.init
read = lib.readGun
read.restype = ctypes.POINTER(ctypes.c_ubyte * 8)
sen... | flexible | {
"blob_id": "866571341a587c8b1b25437f5815429875bbe5ad",
"index": 9285,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ninit()\n",
"step-3": "<mask token>\nlib = ctypes.CDLL('/home/ubuntu/workspace/35SmartPy/CAN/brain/CANlib.so')\ninit = lib.init\nread = lib.readGun\nread.restype = ctypes.POINTER(ctypes.... | [
0,
1,
2,
3
] |
import os
print(os.name)
#print(os.environ)
print(os.environ.get('PATH'))
print(os.path.abspath('.'))
os.path.join(os.path.abspath('.'),'testdir')
os.mkdir(os.path.abspath('.')) | normal | {
"blob_id": "fd059ae6e5eb3f7dc18dff6f9ed206002cea5fb2",
"index": 9788,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(os.name)\nprint(os.environ.get('PATH'))\nprint(os.path.abspath('.'))\nos.path.join(os.path.abspath('.'), 'testdir')\nos.mkdir(os.path.abspath('.'))\n",
"step-3": "import os\nprint... | [
0,
1,
2,
3
] |
from django.db import models
# Create your models here.
class Position(models.Model):
title = models.CharField(max_length=50)
def __str__(self):
return self.title
class Employee(models.Model):
nom = models.CharField(max_length=100)
prenom = models.CharField(max_length=100)
age= models.Cha... | normal | {
"blob_id": "5ab20c1cd2dc0d0ad881ee52008d00c2317084f9",
"index": 5308,
"step-1": "<mask token>\n\n\nclass Position(models.Model):\n <mask token>\n <mask token>\n\n\nclass Employee(models.Model):\n nom = models.CharField(max_length=100)\n prenom = models.CharField(max_length=100)\n age = models.Cha... | [
5,
6,
7,
8,
9
] |
def solution(record):
answer = []
db = {}
chatting = []
for log in record:
log_list = log.split()
if log_list[0] == 'Enter':
db[log_list[1]] = log_list[2]
chatting.append([True, log_list[1]])
elif log_list[0] == 'Leave':
chatting.append([Fals... | normal | {
"blob_id": "3ffe16494eb45896563a2952f3bcf80fc19b2750",
"index": 1226,
"step-1": "<mask token>\n",
"step-2": "def solution(record):\n answer = []\n db = {}\n chatting = []\n for log in record:\n log_list = log.split()\n if log_list[0] == 'Enter':\n db[log_list[1]] = log_lis... | [
0,
1,
2,
3
] |
from django.contrib import admin
from .models import TutorialsReview, TutorialsReviewComment
admin.site.register(TutorialsReview)
admin.site.register(TutorialsReviewComment)
| normal | {
"blob_id": "fea0619263b081f60ed0a4e178ef777a8d5dc988",
"index": 6500,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nadmin.site.register(TutorialsReview)\nadmin.site.register(TutorialsReviewComment)\n",
"step-3": "from django.contrib import admin\nfrom .models import TutorialsReview, TutorialsReviewCo... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class product_product(orm.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def _get_sale_quotation_qty(self, cr, uid, product_id, context=None):
"""get all qty of the product in all sale quotations (draft, sent)"""
... | flexible | {
"blob_id": "19d86c64876575ed9b3f5e33dd44e7633c96e696",
"index": 2401,
"step-1": "<mask token>\n\n\nclass product_product(orm.Model):\n <mask token>\n <mask token>\n <mask token>\n\n def _get_sale_quotation_qty(self, cr, uid, product_id, context=None):\n \"\"\"get all qty of the product in all... | [
2,
6,
8,
9,
10
] |
from sqlalchemy import create_engine
from sqlalchemy import Table,Column,Integer,String,MetaData,ForeignKey
from sqlalchemy.sql import select
from sqlalchemy import text
#Creating a database 'college.db'
engine = create_engine('sqlite:///college.db', echo=True)
meta = MetaData()
#Creating a Students table
s... | normal | {
"blob_id": "7ea6fefa75d36ff45dcea49919fdc632e378a73f",
"index": 9113,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmeta.create_all(engine)\n<mask token>\nconn.execute(students.insert(), [{'name': 'Rajiv', 'lastname': 'Khanna'}, {\n 'name': 'Komal', 'lastname': 'Bhandari'}, {'name': 'Abdul', 'lastna... | [
0,
1,
2,
3,
4
] |
import sys, time
from machine import Pin
print('LOAD: blinker.py')
def blink_connected_to_wifi(pin=23):
_blink_pattern(pin, [[3, 0.5, 0.5], [4, 0.2, 0.2]])
def blink_not_connected_to_wifi(pin=23):
_blink_pattern(pin, [[2, 0.2, 0.2], [1, 0.5, 0.5], [2, 0.2, 0.2], [1, 0.5, 0.5]])
# pin - the pin, connected ... | normal | {
"blob_id": "c0bd060990d00ab50c9f2d3060b7f975ff16e1ab",
"index": 4105,
"step-1": "<mask token>\n\n\ndef blink_connected_to_wifi(pin=23):\n _blink_pattern(pin, [[3, 0.5, 0.5], [4, 0.2, 0.2]])\n\n\n<mask token>\n\n\ndef _blink_pattern(pin, pattern):\n p = Pin(pin, Pin.OUT)\n try:\n for item in patt... | [
2,
3,
4,
5,
6
] |
"""
This file is part of GALE,
Copyright Joe Krall, 2014.
GALE is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version... | normal | {
"blob_id": "957545649e9bf1eaabe42a1caa627d544e68f108",
"index": 5490,
"step-1": "\"\"\"\n This file is part of GALE,\n Copyright Joe Krall, 2014.\n\n GALE is free software: you can redistribute it and/or modify\n it under the terms of the GNU Lesser General Public License as published by\n the Fr... | [
0
] |
from concurrent.futures import ProcessPoolExecutor
from nltk import PorterStemmer, RegexpTokenizer
from stop_words import get_stop_words
class Preprocessor(object):
def __init__(self, max_workers=4):
self.max_workers = max_workers
self.tokenizer = RegexpTokenizer(r"\w+")
self.en_stopwords... | normal | {
"blob_id": "8cd50e1f0e0feb4d753443220f9fa9065e80e0ef",
"index": 6358,
"step-1": "<mask token>\n\n\nclass Preprocessor(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass WithUrlPreprocessor(Preprocessor):\n\n def __init__(self, max_workers=4):\n ... | [
4,
6,
7,
10,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
torch.nn.functional.adaptive_avg_pool3d(**data)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
data = pickle.load(open('dd0eb7901523d494d4aa324f474c782063e9e231.p', 'rb'))
torch.nn.functional.adaptive_avg_pool3d(**da... | flexible | {
"blob_id": "20d09a616133295a6162a7ab1d7970ccbaf6de95",
"index": 1331,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntorch.nn.functional.adaptive_avg_pool3d(**data)\n",
"step-3": "<mask token>\ndata = pickle.load(open('dd0eb7901523d494d4aa324f474c782063e9e231.p', 'rb'))\ntorch.nn.functional.adaptive_a... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(M):
temp = list(map(int, input().split()))
k = temp[0]
switches = temp[1:]
for j in range(k):
lights[i][switches[j] - 1] = 1
<|reserved_special_token_0|>
for i in range(2 ** N):
flag = Tr... | flexible | {
"blob_id": "c4ac7ff5d45af9d325f65b4d454a48ca0d8f86df",
"index": 8808,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(M):\n temp = list(map(int, input().split()))\n k = temp[0]\n switches = temp[1:]\n for j in range(k):\n lights[i][switches[j] - 1] = 1\n<mask token>\nfor... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
source_root_dir = '/home/songsong/image_transport_ws/src'
whitelisted_packages = ''.split(';') if '' != '' else []
blacklisted_packages = ''.split(';') if '' != '' else []
underlay_workspaces = (
'/home/songsong/image_transport_ws/devel;/home/songsong/pib... | flexible | {
"blob_id": "86ca94820c05b3f63f4a733b6d1fa7eb9dea6a5d",
"index": 325,
"step-1": "<mask token>\n",
"step-2": "source_root_dir = '/home/songsong/image_transport_ws/src'\nwhitelisted_packages = ''.split(';') if '' != '' else []\nblacklisted_packages = ''.split(';') if '' != '' else []\nunderlay_workspaces = (\n ... | [
0,
1,
2
] |
from keras.layers import Dense, Activation, Dropout
from keras.utils.visualize_util import plot
from keras.models import Sequential
from emotions import FER2013Dataset
_deep_models = {}
def deep_model(model_name):
def wrapper(cls):
_deep_models[model_name] = cls
return cls
return wrapper
... | normal | {
"blob_id": "36257340ebbc6bd2c7fa5995511b2c859f58f8e5",
"index": 3232,
"step-1": "<mask token>\n\n\nclass DeepModel:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n@deep_model('trivial')\nclass DummyModel(DeepModel):\n\n def b... | [
7,
12,
13,
14,
18
] |
<|reserved_special_token_0|>
class CatalogService(BaseService):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CatalogService(BaseService):
name = 'catalog'
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Catalog(BaseJsonEncodableObject):... | flexible | {
"blob_id": "37feeba8ff682e5998fde4bcba8c37043cb593f2",
"index": 5195,
"step-1": "<mask token>\n\n\nclass CatalogService(BaseService):\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CatalogService(BaseService):\n name = 'catalog'\n",
"step-3": "<mask token>\n\n\nclass Catalog(BaseJsonEncodableOb... | [
1,
2,
3,
5,
6
] |
import os
import base64
from urllib.parse import urlencode
import json
from flask import Blueprint, request, redirect, jsonify, make_response
import requests
spotify = Blueprint('spotify', __name__)
# Client Keys
SPOTIFY_CLIENT_ID = os.environ.get('SPOTIFY_CLIENT_ID')
SPOTIFY_CLIENT_SECRET = os.environ.get('SPOTIFY... | normal | {
"blob_id": "f080191fec4e56adc4013da74c840817e88caf56",
"index": 869,
"step-1": "<mask token>\n\n\n@spotify.route('/callback')\ndef callback():\n auth_code = request.args['code']\n code_payload = {'grant_type': 'authorization_code', 'code': str(\n auth_code), 'redirect_uri': REDIRECT_URI}\n base6... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='pass-manager', version='1.2.0', author='petitviolet',
author_email='violethero0820@gmail.com', packages=find_packages(),
description='Simple CLI Password Manager', long_description=
'Please show help (pass-... | flexible | {
"blob_id": "31664f1cc808ccc0dad230e2b955692c7ae12db1",
"index": 1792,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='pass-manager', version='1.2.0', author='petitviolet',\n author_email='violethero0820@gmail.com', packages=find_packages(),\n description='Simple CLI Password Manager', l... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if settings.DEBUG:
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT
)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [path('admin/', admin.site.urls), path('accoun... | flexible | {
"blob_id": "bf1221bc9768cff2edb67e0e5f5cea0ee2dd64e5",
"index": 7740,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif settings.DEBUG:\n urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT\n )\n",
"step-3": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls... | [
0,
1,
2,
3,
4
] |
class TestRawJob:
def __init__(self, parsedRow):
values = [string.strip().lower() for string in parsedRow]
keys = ["Id", "Title", "Description", "Raw Location", "Normalized Location",
"Contract Type", "Contract Time", "Company", "Category", "Source"]
self.data = dict(zip(keys, values))
| normal | {
"blob_id": "4eac468db955ca5ef5d2ec6ba67bd6c7f4d865f4",
"index": 2050,
"step-1": "<mask token>\n",
"step-2": "class TestRawJob:\n <mask token>\n",
"step-3": "class TestRawJob:\n\n def __init__(self, parsedRow):\n values = [string.strip().lower() for string in parsedRow]\n keys = ['Id', 'T... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class EHRdataFromPickles(Dataset):
def __init__(self, root_dir, file=None, transform=None, sort=True,
model='RNN', test_ratio=0, valid_ratio=0):
"""
Args:
1) root_dir (string): Path to pickled file(s).
The directory c... | flexible | {
"blob_id": "0cef70b8d661fe01ef4a1eda83a21e1186419a0d",
"index": 5038,
"step-1": "<mask token>\n\n\nclass EHRdataFromPickles(Dataset):\n\n def __init__(self, root_dir, file=None, transform=None, sort=True,\n model='RNN', test_ratio=0, valid_ratio=0):\n \"\"\"\n Args:\n 1) root_... | [
15,
16,
17,
18,
19
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test(conf):
device = conf['device']
dataset = conf['test_dataset']
classes = conf['data']['classes']
weights_path = conf['weights_path']
results_dir = conf['results_dir']
model = conf['model']
mod... | flexible | {
"blob_id": "b57b6df1b7e551f64033a0c47e5a22eab9fd5fd4",
"index": 7616,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test(conf):\n device = conf['device']\n dataset = conf['test_dataset']\n classes = conf['data']['classes']\n weights_path = conf['weights_path']\n results_dir = con... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('estafilococo: ', round(r[0], 1))
print('salmonela: ', round(r[1], 1))
print('coli: ', round(r[2], 1))
if r[0] == min(r):
print('estafilococo')
elif r[1] == min(r):
print('salmonela')
elif r[2] == min(r):
print('... | flexible | {
"blob_id": "0f3e12f35cc29a71be5b8e6d367908e31c200c38",
"index": 3896,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('estafilococo: ', round(r[0], 1))\nprint('salmonela: ', round(r[1], 1))\nprint('coli: ', round(r[2], 1))\nif r[0] == min(r):\n print('estafilococo')\nelif r[1] == min(r):\n pr... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Tabuleiro:
def __init__(self):
self.jogo = classejogo.Jogo()
self.window = tk.Tk()
self.window.title('Jogo da Velha')
self.window.geometry('300x360+100+100')
self.window.rowconfigure(0, minsize=30, weight=1)
self.window.rowconfigu... | flexible | {
"blob_id": "9cff227eeeaffda777668aa3b90e3839426da811",
"index": 6683,
"step-1": "<mask token>\n\n\nclass Tabuleiro:\n\n def __init__(self):\n self.jogo = classejogo.Jogo()\n self.window = tk.Tk()\n self.window.title('Jogo da Velha')\n self.window.geometry('300x360+100+100')\n ... | [
9,
12,
15,
16,
18
] |
<|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 = [(... | flexible | {
"blob_id": "049d83bc1a31ef170654fda47d1f58e024befb44",
"index": 8220,
"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 = [('electra', '... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import random
import helper as hp
def insertion_sort(items, start, end):
"""
Arguments:
- `items`:
"""
n = end - start + 1
for i in range(start+1, end+1):
for j in range(i, start, -1):
if items[j] < items[j-1]:
... | normal | {
"blob_id": "e2e34db52e17c188cab63a870f0bc77cbc9ef922",
"index": 3355,
"step-1": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nimport sys\nimport random\n\nimport helper as hp\n\ndef insertion_sort(items, start, end):\n \"\"\"\n\n Arguments:\n - `items`:\n \"\"\"\n n = end - start + 1\n for ... | [
0
] |
from UI.Window import Window
class PolygonApplication:
def __init__(self):
self.window = Window(
"Détermination des périmètre, surface et centre de gravité d'un polygone"
)
self.window.addMouseClickListener(self.window.onClick)
def start(self):
self.window.sho... | normal | {
"blob_id": "795bd22fb805069b342915638c52900ea52a4939",
"index": 9321,
"step-1": "<mask token>\n\n\nclass PolygonApplication:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass PolygonApplication:\n <mask token>\n\n def start(self):\n self.window.show()\n",
"step-3": "<ma... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class PyTest(TestCommand):
def finalize_options(self):
TestCommand.finalize_options(self)
self.test_args = []
self.test_suite = True
def run_tests(self):
import pytest
errcode = pytest.main(self.test_args)
sys.exit(errcode)
<|res... | flexible | {
"blob_id": "bd2a5c2dd3eef5979c87a488fb584dce740ccb05",
"index": 3870,
"step-1": "<mask token>\n\n\nclass PyTest(TestCommand):\n\n def finalize_options(self):\n TestCommand.finalize_options(self)\n self.test_args = []\n self.test_suite = True\n\n def run_tests(self):\n import py... | [
3,
4,
5,
6,
7
] |
from recipes.almahelpers import fixsyscaltimes # SACM/JAO - Fixes
__rethrow_casa_exceptions = True
context = h_init()
context.set_state('ProjectSummary', 'proposal_code', '2017.1.01355.L')
context.set_state('ProjectSummary', 'piname', 'unknown')
context.set_state('ProjectSummary', 'proposal_title', 'unknown')
context.s... | normal | {
"blob_id": "290811317ddb49a7d2a9f44ab7e0b6d201db12e1",
"index": 7532,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncontext.set_state('ProjectSummary', 'proposal_code', '2017.1.01355.L')\ncontext.set_state('ProjectSummary', 'piname', 'unknown')\ncontext.set_state('ProjectSummary', 'proposal_title', 'un... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def test_find_current_start_state():
assert 'In-Progress' == Story.find_current_state_name({'Backlog',
'To-Do', 'In-Progress', 'Completed', 'Ready For Prod', 'Deployed'},
{'In-Progress', 'Development'})
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@py... | flexible | {
"blob_id": "d10c74338ea18ef3e5fb6a4dd2224faa4f94aa62",
"index": 9950,
"step-1": "<mask token>\n\n\ndef test_find_current_start_state():\n assert 'In-Progress' == Story.find_current_state_name({'Backlog',\n 'To-Do', 'In-Progress', 'Completed', 'Ready For Prod', 'Deployed'},\n {'In-Progress', 'De... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class MonteCarloAgent(Agent):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def _find_move_from_new_board_state(self, old, new):
"""
Making a move in Connect Four makes exactly one change to the board.
Searc... | flexible | {
"blob_id": "e99cf5a7058db984b323af1375003e4e21e36612",
"index": 9305,
"step-1": "<mask token>\n\n\nclass MonteCarloAgent(Agent):\n <mask token>\n <mask token>\n <mask token>\n\n def _find_move_from_new_board_state(self, old, new):\n \"\"\"\n Making a move in Connect Four makes exactly ... | [
5,
8,
9,
10,
11
] |
<|reserved_special_token_0|>
def makePDF(filename):
file = open(filename, 'r')
title = file.readline()
pars = []
for line in file:
pars.append(line)
file.close()
pdf = FPDF(unit='pt')
pdf.add_page()
pdf.set_font('Helvetica', 'U', 16)
pdf.cell(595, 16, txt=title, ln=1, align... | flexible | {
"blob_id": "58fb2676b599b5f7fb9041cfae113a9d428d8ef8",
"index": 4503,
"step-1": "<mask token>\n\n\ndef makePDF(filename):\n file = open(filename, 'r')\n title = file.readline()\n pars = []\n for line in file:\n pars.append(line)\n file.close()\n pdf = FPDF(unit='pt')\n pdf.add_page()... | [
2,
3,
4,
5,
6
] |
import unittest
import sys
import matplotlib.pyplot as plotter
import numpy
sys.path.append("/home/adityas/UGA/SensorWeb/scripts/Summer2018/code")
from simulator.component import CPU, DiskIO, Network
class TestComponents(unittest.TestCase):
def setUp(self):
self.cpu = CPU(cycles=5)
self.disk = ... | normal | {
"blob_id": "4f54f3e306df3b861124adb4fe544089446e8021",
"index": 3453,
"step-1": "<mask token>\n\n\nclass TestComponents(unittest.TestCase):\n\n def setUp(self):\n self.cpu = CPU(cycles=5)\n self.disk = DiskIO(cycles=5)\n self.network = Network(cycles=5)\n\n def test_cpu_length(self):\... | [
4,
5,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [url('^$', views.view_basket, name='basket'), url(
'^add/(?P<product_pk>\\d+)$', views.add_to_basket, name='add_to_basket'
), url('^remove/(?P<basketitem_pk>\\d+)$', views.remove_from_basket,
name='remove... | flexible | {
"blob_id": "19d5e9db142237d1cb2276ccaf083ca4a96109fc",
"index": 3670,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [url('^$', views.view_basket, name='basket'), url(\n '^add/(?P<product_pk>\\\\d+)$', views.add_to_basket, name='add_to_basket'\n ), url('^remove/(?P<basketitem_pk>\\\\... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
correction_list = {}
correction_list["Legend of Zelda, The - Majora's Mask"
] = "The Legend of Zelda - Majora's Mask"
correction_list['Legend of Zelda, The - Ocarina of Time'
] = 'The Legend of Zelda - Ocarina of Time'
correction_list['Doubutsu no Mor... | flexible | {
"blob_id": "c4dcb94b7d6e45b875dccde752d3621e491f1076",
"index": 6382,
"step-1": "<mask token>\n",
"step-2": "correction_list = {}\ncorrection_list[\"Legend of Zelda, The - Majora's Mask\"\n ] = \"The Legend of Zelda - Majora's Mask\"\ncorrection_list['Legend of Zelda, The - Ocarina of Time'\n ] = 'The L... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(numero_uno)
print(numero_dos)
<|reserved_special_token_0|>
print('el total de la suma de : ' + str(numero_uno) + ' + ' + str(
numero_dos) + ' es = a ' + str(total))
<|reserved_special_token_1|>
numero_uno = int(input... | flexible | {
"blob_id": "5685befae923fc336a2a5e0eb5e382c2e7d82d04",
"index": 9613,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(numero_uno)\nprint(numero_dos)\n<mask token>\nprint('el total de la suma de : ' + str(numero_uno) + ' + ' + str(\n numero_dos) + ' es = a ' + str(total))\n",
"step-3": "numero... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def counseling(pay, row):
global max_sum
if row == N - 1:
if arr[row][0] == 1:
pay += arr[row][1]
max_sum = max(pay, max_sum)
return
if row == N:
max_sum = max(pay, max_sum)
return
if row > N - 1:
return
couns... | flexible | {
"blob_id": "9db2377f15aaf28373959dad88c6ec7b6dacffd2",
"index": 9512,
"step-1": "<mask token>\n\n\ndef counseling(pay, row):\n global max_sum\n if row == N - 1:\n if arr[row][0] == 1:\n pay += arr[row][1]\n max_sum = max(pay, max_sum)\n return\n if row == N:\n max... | [
1,
2,
3,
4,
5
] |
from django.db import models
class Brokerage(models.Model):
BrokerageName = models.CharField(max_length=500)
#To-Do Fix additional settings for ImagesFields/FileFields
#BrokerageLogo = ImageField
ReviewLink = models.CharField(max_length=1000)
ContactLink = models.CharField(max_length=1000)
TotalAgents = models.I... | normal | {
"blob_id": "174f744b641ee20272713fa2fe1991cb2c76830a",
"index": 99,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Brokerage(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
#encoding:utf8
import sys
from collections import defaultdict
def transform_word(word):
'''
将低频词转为四种形式之一。
'''
if any(c.isdigit() for c in word):
return '_NUMERIC_'
if word.isupper():
return '_ALL_CAP_'
if word[-1].isupper():
return '_LAST_CAP_'
... | normal | {
"blob_id": "92a1f86ce8cc9563d455f9b1336dbcd298f01b6d",
"index": 1747,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef transform_word(word):\n \"\"\"\n 将低频词转为四种形式之一。\n \"\"\"\n if any(c.isdigit() for c in word):\n return '_NUMERIC_'\n if word.isupper():\n return '_ALL_... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
@implementer(IForm)
class Form(Container):
"""A Form."""
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class IForm(IBriefyContent):
<|reserved_special_token_0|>
@implementer(IForm)
class Form(Container):
"""A Form."""
<|reserved_special_token_1|>
<|reserv... | flexible | {
"blob_id": "6e3de57f7c65e9f6195dabc3326b05744249cefe",
"index": 7991,
"step-1": "<mask token>\n\n\n@implementer(IForm)\nclass Form(Container):\n \"\"\"A Form.\"\"\"\n",
"step-2": "<mask token>\n\n\nclass IForm(IBriefyContent):\n <mask token>\n\n\n@implementer(IForm)\nclass Form(Container):\n \"\"\"A ... | [
2,
3,
4,
5,
6
] |
import gc
import network
import lib.gate as gate
import time
from micropython import const
from ubluetooth import BLE
import lib.webserver as webserver
bt = BLE()
bt.active(True)
_IRQ_SCAN_RESULT = const(5)
_IRQ_SCAN_DONE = const(6)
def byteToMac(addr):
m = memoryview(addr)
a = "{:0>2X}:{:0>2... | normal | {
"blob_id": "99c60befed32a9aa80b6e66b682d9f475e05a8d1",
"index": 2562,
"step-1": "<mask token>\n\n\ndef handler(event, data):\n if event == _IRQ_SCAN_RESULT:\n addr_type, addr, adv_type, rssi, adv_data = data\n print(addr_type, memoryview(addr), adv_type, rssi, memoryview(adv_data)\n ... | [
2,
5,
6,
7,
8
] |
import os
import time
#if __name__ == "__main__":
# os.system('xterm -e "pwd ; cd ~ ; torcs -r ~/quickrace.xml ; echo press RETURN to close this window ; read" &') # delete the echo and the read to don't stop the process and make it run quickly
# os.system('xterm -e "pwd ; ./start.sh ; echo press RETURN to close... | normal | {
"blob_id": "c2cf74893c7f7515a95141bb10be6a446b45a0cc",
"index": 1447,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef train_once():\n os.system('xterm -e \"pwd ; cd ~ ; torcs -r ~/quickrace.xml \" &')\n os.system('xterm -e \"pwd ; ./start.sh \" &')\n return True\n",
"step-3": "import... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class OracleParam:
force_bytes: Any = ...
input_size: Any = ...
def __init__(self, param: Any, cursor: Any, strings_only: bool=...) ->None:
...
class VariableWrapper:
var: Any = ...
def __init__(self, var: Any) ->None:
...
def bind_parameter(se... | flexible | {
"blob_id": "829b8cd0b648d39c07c20fd1c401bf717ed5b9c4",
"index": 9682,
"step-1": "<mask token>\n\n\nclass OracleParam:\n force_bytes: Any = ...\n input_size: Any = ...\n\n def __init__(self, param: Any, cursor: Any, strings_only: bool=...) ->None:\n ...\n\n\nclass VariableWrapper:\n var: Any =... | [
16,
20,
25,
27,
31
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('cross-vali score is: {}'.format(score.mean()))
<|reserved_special_token_0|>
for train_index, test_index in kfold.split(iris.data, iris.target):
print(train_index, test_index)
<|reserved_special_token_0|>
def simple_gr... | flexible | {
"blob_id": "aaa0ac5e31e2c10b5baba6077e952fff1a92ef82",
"index": 882,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('cross-vali score is: {}'.format(score.mean()))\n<mask token>\nfor train_index, test_index in kfold.split(iris.data, iris.target):\n print(train_index, test_index)\n<mask token>\n... | [
0,
2,
3,
4,
5
] |
#!/usr/bin/env python
'''
Created on 2011-08-27
@author: xion
Setup script for the seejoo project.
'''
import ast
import os
from setuptools import find_packages, setup
def read_tags(filename):
"""Reads values of "magic tags" defined in the given Python file.
:param filename: Python filename to read the tag... | normal | {
"blob_id": "9d1b795b561a26ae28e82833485ca6034438e78b",
"index": 8491,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef read_tags(filename):\n \"\"\"Reads values of \"magic tags\" defined in the given Python file.\n\n :param filename: Python filename to read the tags from\n :return: Dictio... | [
0,
2,
3,
4,
5
] |
def memo(fn):
cache = {}
missed = object()
def query(*args):
result = cache.get(args, missed)
if result is missed:
result = cache[args] = fn(*args)
return result
return query
@memo
def cal_edit_distance(ori, tar):
def edit_tuple(old, distance, path):
r... | normal | {
"blob_id": "88390f411af90d494284617ef8f5fb0e9bb8890e",
"index": 8039,
"step-1": "def memo(fn):\n cache = {}\n missed = object()\n\n def query(*args):\n result = cache.get(args, missed)\n if result is missed:\n result = cache[args] = fn(*args)\n return result\n return ... | [
2,
3,
4,
5,
6
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('levantamiento', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='FichaTecnica',
field... | normal | {
"blob_id": "1049a7d2cdc54c489af6246ec014deb63a98f96d",
"index": 3951,
"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 = [('levantamien... | [
0,
1,
2,
3,
4
] |
n=int(input("val : "))
def fact(n):
c=1;
for i in range(1,n+1):
c*=i;
return c;
print(fact(n)); | normal | {
"blob_id": "1f4d9f5406b91fd687c0ace8ed29e3c4dfb4d3d2",
"index": 8748,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef fact(n):\n c = 1\n for i in range(1, n + 1):\n c *= i\n return c\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef fact(n):\n c = 1\n for i in range(1... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def createMatchFeed(request, teamwedstrijd=None):
cal = EventFeed(teamwedstrijd)
return cal.__call__(request)
@login_required
def viewMatch(request, match):
try:
m = Match.objects.get(id=match)
except Match.DoesNotExist:
raise Http404
teams = m.getHer... | flexible | {
"blob_id": "480787d7bc0e87df7c59c4deb402eea76643680c",
"index": 7529,
"step-1": "<mask token>\n\n\ndef createMatchFeed(request, teamwedstrijd=None):\n cal = EventFeed(teamwedstrijd)\n return cal.__call__(request)\n\n\n@login_required\ndef viewMatch(request, match):\n try:\n m = Match.objects.get... | [
6,
8,
9,
11,
13
] |
<|reserved_special_token_0|>
class TipoUsuarios(db.Model):
id = db.Column(db.Integer, primary_key=True, nullable=False)
texto = db.Column(db.String(50))
usuarios = db.relationship('Usuarios', backref='tipo', lazy='dynamic')
def __init__(self, texto):
self.texto = texto
class Usuarios(db.Mod... | flexible | {
"blob_id": "d7240703bc4cf9b566e7b50a536c83497cd8c6d7",
"index": 7116,
"step-1": "<mask token>\n\n\nclass TipoUsuarios(db.Model):\n id = db.Column(db.Integer, primary_key=True, nullable=False)\n texto = db.Column(db.String(50))\n usuarios = db.relationship('Usuarios', backref='tipo', lazy='dynamic')\n\n... | [
7,
8,
10,
11,
12
] |
class Solution(object):
def rotate(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: void Do not return anything, modify nums in-place instead.
"""
ln=len(nums)
k=k%ln
nums[:]=nums+nums[:ln-k]
del nums[0:ln-k]
#menthod 2自己输入[1,2],k=... | normal | {
"blob_id": "a3ccd526b70db2061566274852a7fc0c249c165a",
"index": 6931,
"step-1": "class Solution(object):\n def rotate(self, nums, k):\n \"\"\"\n :type nums: List[int]\n :type k: int\n :rtype: void Do not return anything, modify nums in-place instead.\n \"\"\"\n ln=le... | [
0
] |
<|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 = [(... | flexible | {
"blob_id": "d5beff74e3746c77cbaf6b8233b822ed1a86701e",
"index": 316,
"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 = [('task', '0022... | [
0,
1,
2,
3,
4
] |
import pygame as pg
screen = pg.display.set_mode((640, 380))
| normal | {
"blob_id": "c1374a048187807deac5d28dda4fbc7beeccf8f5",
"index": 5221,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nscreen = pg.display.set_mode((640, 380))\n",
"step-3": "import pygame as pg\nscreen = pg.display.set_mode((640, 380))\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
... | [
0,
1,
2
] |
array_length = int(input())
source = [int(x) for x in input().split()]
def find_neighbors():
previous_zero_index = -1
count = 0
result = []
for index, value in enumerate(source):
count += 1
if value == 0:
if index == 0:
previous_zero_index = 0
... | normal | {
"blob_id": "6d362b87b595fc59df31d1f0bb561dc83633a2ac",
"index": 9216,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef find_neighbors():\n previous_zero_index = -1\n count = 0\n result = []\n for index, value in enumerate(source):\n count += 1\n if value == 0:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for match in matcher:
print(match.start())
print(match.group())
<|reserved_special_token_1|>
<|reserved_special_token_0|>
x = '[a-zA-Z]'
matcher = re.finditer(x, 'abtABIkz')
for match in matcher:
print(match.start()... | flexible | {
"blob_id": "1ddc261cf174c109583fd0ead1f537673d29090a",
"index": 1433,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor match in matcher:\n print(match.start())\n print(match.group())\n",
"step-3": "<mask token>\nx = '[a-zA-Z]'\nmatcher = re.finditer(x, 'abtABIkz')\nfor match in matcher:\n p... | [
0,
1,
2,
3,
4
] |
import os
from flask import Flask
from flask import request
result=""
app = Flask(__name__)
@app.route('/postjson', methods = ['POST'])
def postJsonHandler():
global result
#print (request.is_json)
content = request.get_json()
#print (content)
#print ("true")
#print (content["encode"])
#p... | normal | {
"blob_id": "607fc97c4520c7f54ee44e768776ceae2b70c378",
"index": 190,
"step-1": "import os\nfrom flask import Flask\nfrom flask import request\nresult=\"\" \napp = Flask(__name__)\n \n@app.route('/postjson', methods = ['POST'])\ndef postJsonHandler():\n global result\n #print (request.is_json)\n content... | [
0
] |
<|reserved_special_token_0|>
class Program(ProgramTemplate):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def validate(self):
print('Validating inputs', file=self.logger)
self.data_manager.has_models(raise_sorry=True, expected_n=1,
... | flexible | {
"blob_id": "e1228f5e17bae6632f8decd114f72723dbbce944",
"index": 6186,
"step-1": "<mask token>\n\n\nclass Program(ProgramTemplate):\n <mask token>\n <mask token>\n <mask token>\n\n def validate(self):\n print('Validating inputs', file=self.logger)\n self.data_manager.has_models(raise_so... | [
3,
5,
6,
7,
8
] |
from datetime import datetime
start = datetime.now()
# Poker Hand Analyser Library for Project Euler: Problem 54
from collections import namedtuple
# import pe_lib
def character_frequency(s):
freq = {}
for i in s:
if i in freq:
freq[i] += 1
else:
freq[i] = 1
return freq
suits = "HDCS".split()
faces = "2... | normal | {
"blob_id": "561763d4d7b613446f2890ef629b631542f2f472",
"index": 2776,
"step-1": "<mask token>\n\n\nclass Card(namedtuple('Card', 'face, suit')):\n\n def __repr__(self):\n return ''.join(self)\n\n\ndef royal_flush(hand):\n royalface = 'TJQKA'\n ordered = sorted(hand, key=lambda card: (faces.index... | [
7,
8,
10,
17,
19
] |
<|reserved_special_token_0|>
class GoogleSheet(GoogleDrive):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def create_spreadsheet(self, spreadsheet_name: str):
"""
Creates a spreadsheet, returning the newly created spreadsheet's ID.
Official API guide:
... | flexible | {
"blob_id": "9e793bd0faef65dfe8ac4b722e50d2055837449f",
"index": 4701,
"step-1": "<mask token>\n\n\nclass GoogleSheet(GoogleDrive):\n <mask token>\n <mask token>\n\n def create_spreadsheet(self, spreadsheet_name: str):\n \"\"\"\n Creates a spreadsheet, returning the newly created spreadshe... | [
4,
8,
10,
12,
13
] |
# -*- encoding: utf-8 -*-
from django.contrib import admin
from finish.wall.models import (Autor, Category, Announcement, Banner, Caricatura,
Video, TypePost, Post, Phrase, TypeGalery,
ImageGalery, Sponsor)
class AutorAdmin(admin.ModelAdmin):
pass
... | normal | {
"blob_id": "3c9302b5cb92e5103ed16ec56e1b349f0662950c",
"index": 154,
"step-1": "<mask token>\n\n\nclass CaricaturaAdmin(admin.ModelAdmin):\n pass\n\n\nclass VideoAdmin(admin.ModelAdmin):\n pass\n\n\nclass TypePostAdmin(admin.ModelAdmin):\n pass\n\n\nclass PostAdmin(admin.ModelAdmin):\n\n\n class Med... | [
8,
9,
10,
11,
15
] |
import pygame
from random import randint, choice
BLACK = (0,0,0)
#----------------------------------------------------------
class Ball(pygame.sprite.Sprite):
#------------------------------------------------------
def __init__(self, color, width, height):
# Initialize as a Sprite
super(... | normal | {
"blob_id": "6f216420f641c042bb2772b79c10f904ffa21938",
"index": 8733,
"step-1": "<mask token>\n\n\nclass Ball(pygame.sprite.Sprite):\n\n def __init__(self, color, width, height):\n super().__init__()\n self.image = pygame.Surface([width, height])\n self.image.fill(BLACK)\n self.im... | [
2,
4,
6,
7,
8
] |
__author__ = 'jjpr'
import pyrr
import barleycorn as bc
def test_xyz123():
cone_x = bc.primitives.Cone(1.0, 1.0)
| normal | {
"blob_id": "e6af221f1d6397d0fc52671cdd27d43549d0aecb",
"index": 513,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_xyz123():\n cone_x = bc.primitives.Cone(1.0, 1.0)\n",
"step-3": "__author__ = 'jjpr'\n<mask token>\n\n\ndef test_xyz123():\n cone_x = bc.primitives.Cone(1.0, 1.0)\n",
... | [
0,
1,
2,
3
] |
import logging
import os
import textwrap
from urllib.request import urlopen
from bs4 import BeautifulSoup
from tqdm import tqdm
from doc_curation import book_data
from doc_curation.md import get_md_with_pandoc
from doc_curation.md.file import MdFile
from doc_curation.scraping.misc_sites import iitk
from doc_curation.... | normal | {
"blob_id": "f3a63a22f8746d4a1f127bfe9e8c9d822109ab3c",
"index": 463,
"step-1": "<mask token>\n\n\ndef dump_all_sargas(base_dir):\n for kaanda_index in book_data.get_subunit_list(file_path=unit_info_file,\n unit_path_list=[]):\n if kaanda_index >= 6:\n continue\n sarga_list = b... | [
3,
4,
6,
7,
8
] |
<|reserved_special_token_0|>
class Servo_node:
def __init__(self):
rospy.init_node('servo_node', anonymous=False)
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
motor_x = 13
motor_y = 12
motor_z = 20
GPIO.setup(motor_x, GPIO.OUT)
GPIO.setup(motor_y,... | flexible | {
"blob_id": "95845aeb47e0d2c579739767ece35f4134564d98",
"index": 7717,
"step-1": "<mask token>\n\n\nclass Servo_node:\n\n def __init__(self):\n rospy.init_node('servo_node', anonymous=False)\n GPIO.setwarnings(False)\n GPIO.setmode(GPIO.BCM)\n motor_x = 13\n motor_y = 12\n ... | [
7,
8,
10,
11,
12
] |
# Generated by Django 3.1.3 on 2020-11-27 02:17
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('foodBookApp', '0027_remove_post_total_comments'),
]
... | normal | {
"blob_id": "84d9400dc4ee0bebce3f5f7da0bd77a280bb54a9",
"index": 8503,
"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
] |
n = int(input())
lista = []
for i in range(n):
inp = int(input())
lista.append(inp)
lista.sort(reverse=True)
print(lista[0])
print(lista[1])
| normal | {
"blob_id": "b03960999fa30a55932ada7fbf731a3861b840ae",
"index": 3496,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(n):\n inp = int(input())\n lista.append(inp)\nlista.sort(reverse=True)\nprint(lista[0])\nprint(lista[1])\n",
"step-3": "n = int(input())\nlista = []\nfor i in range... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class LunchWizard(models.TransientModel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LunchWizard(m... | flexible | {
"blob_id": "85e5bf57f7eba2cbee0fbb8a4d37b5180208f9b7",
"index": 3830,
"step-1": "<mask token>\n\n\nclass LunchWizard(models.TransientModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass LunchWizard(models.TransientModel):\n ... | [
1,
2,
3,
4,
5
] |
# -*- coding:utf-8 -*-
import time
import random
import numpy as np
from collections import defaultdict
class Simulator(object):
ALLOCATION_INTERVAL_MEAN = 150
ALLOCATION_INTERVAL_STDEV = 30
AFTER_ALLOCATION_INTERVAL_MEAN = 150
AFTER_ALLOCATION_INTERVAL_STDEV = 30
CLICK_INTERVAL_MEAN = 30
CLICK_INTERVAL_STDEV = ... | normal | {
"blob_id": "7378f76b4c1f67d8a549aa2a88db8caa9b05338e",
"index": 4441,
"step-1": "# -*- coding:utf-8 -*-\nimport time\nimport random\nimport numpy as np\nfrom collections import defaultdict\n\nclass Simulator(object):\n\tALLOCATION_INTERVAL_MEAN = 150\n\tALLOCATION_INTERVAL_STDEV = 30\n\tAFTER_ALLOCATION_INTERVA... | [
0
] |
"""Tests for flatten_me.flatten_me."""
import pytest
ASSERTIONS = [
[[1, [2, 3], 4], [1, 2, 3, 4]],
[[['a', 'b'], 'c', ['d']], ['a', 'b', 'c', 'd']],
[['!', '?'], ['!', '?']],
[[[True, False], ['!'], ['?'], [71, '@']], [True, False, '!', '?', 71, '@']]
]
@pytest.mark.parametrize("n, result", ASSERTI... | normal | {
"blob_id": "c233ce4e14e9a59a9fb0f29589ced947efeb73a9",
"index": 3120,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.parametrize('n, result', ASSERTIONS)\ndef test_flatten_me(n, result):\n \"\"\"Test flatten_me() for proper output in test cases.\"\"\"\n from flatten_me import flat... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
img.itemset((100, 100, 2), 99)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
img = cv2.imread('imgs/1.png')
pixel = img[100, 100]
img[100, 100] = [57, 63, 99]
b = img[100, 100, 0]
g = img[100, 100, 1]
r = img[100, 1... | flexible | {
"blob_id": "d13f06afeac938fc2cf4d3506b3f68c6de9de210",
"index": 6596,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nimg.itemset((100, 100, 2), 99)\n",
"step-3": "<mask token>\nimg = cv2.imread('imgs/1.png')\npixel = img[100, 100]\nimg[100, 100] = [57, 63, 99]\nb = img[100, 100, 0]\ng = img[100, 100, ... | [
0,
1,
2,
3,
4
] |
'''
Run from the command line with arguments of the CSV files you wish to convert.
There is no error handling so things will break if you do not give it a well
formatted CSV most likely.
USAGE: python mycsvtomd.py [first_file.csv] [second_file.csv] ...
OUTPUT: first_file.md second_file.md ...
'''
import sys
import cs... | normal | {
"blob_id": "28851979c8f09f3cd1c0f4507eeb5ac2e2022ea0",
"index": 8362,
"step-1": "'''\nRun from the command line with arguments of the CSV files you wish to convert.\nThere is no error handling so things will break if you do not give it a well\nformatted CSV most likely.\n\nUSAGE: python mycsvtomd.py [first_file... | [
0
] |
import numpy as np
class SampleMemory(object):
def __init__(self, item_shape, max_size):
self.memory = np.zeros((max_size,) + item_shape)
self.item_shape = item_shape
self.num_stored = 0
self.max_size = max_size
self.tail_index = 0
def sample(self, num_sampl... | normal | {
"blob_id": "89dfd9a32b008307eb4c456f2324804c29f3b68f",
"index": 6510,
"step-1": "<mask token>\n\n\nclass SampleMemory(object):\n <mask token>\n <mask token>\n <mask token>\n\n def append(self, item):\n self.memory[self.tail_index, :] = item\n self.tail_index = (self.tail_index + 1) % s... | [
3,
7,
9,
10,
11
] |
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