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 fairCandySwap(A, B):
sumA, sumB = sum(A), sum(B)
setA, setB = set(A), set(B)
delta = (sumA - sumB) // 2
for j in setB:
if j + delta in setA:
return j + delta, j
<|reserved_special_token_... | flexible | {
"blob_id": "9abc5f18e2eb07afe6bc31d6bd27298350707d1d",
"index": 962,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef fairCandySwap(A, B):\n sumA, sumB = sum(A), sum(B)\n setA, setB = set(A), set(B)\n delta = (sumA - sumB) // 2\n for j in setB:\n if j + delta in setA:\n ... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-26 16:51
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0002_auto_20170308_1949'),
]
operations = [
migrations.AlterField(
... | normal | {
"blob_id": "bf3b529f8f06619c94d2dfca283df086466af4ea",
"index": 5027,
"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 = [('api', '0002... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def quartiles(values):
n = len(values)
values.sort()
Q2 = median(values)
Q1 = median(values[:int(n / 2)])
if n % 2 == 0:
Q3 = median(values[int(n / 2):])
else:
Q3 = median(values[int(n / 2 + 1):])
return Q1, Q2, Q3
<|reserved_special_token_0|>... | flexible | {
"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
] |
# This is a module
class MyMath:
def isEven(num):
if(num%2==0):
return True
return False
def isOdd(num):
if(num%2==0):
return False
return True
def isPrime(num):
for i in range(2,num):
if num%i==0:
return ... | normal | {
"blob_id": "20d363f5d02cc0b1069aa8951999c0cb22b85613",
"index": 7578,
"step-1": "class MyMath:\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Calsi:\n\n def add(num1, num2):\n return num1 + num2\n\n def sub(num1, num2):\n return num1 - num2\n\n def mul(num1, num2):\n ... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def test_lasso():
test = pd.read_csv('./data/test.csv')
building_metadata = pd.read_csv('./data/building_metadata.csv')
weather_test = pd.read_csv('./data/weather_test.csv')
test.sort_values(by=['building_id', 'timestamp'], inplace=True)
test = test.merge(building_meta... | flexible | {
"blob_id": "6028b46eab422dea02af24e9cf724fe0d8b3ecc4",
"index": 9531,
"step-1": "<mask token>\n\n\ndef test_lasso():\n test = pd.read_csv('./data/test.csv')\n building_metadata = pd.read_csv('./data/building_metadata.csv')\n weather_test = pd.read_csv('./data/weather_test.csv')\n test.sort_values(by... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def parse(num):
strnum = str(num)
words = []
for item in range(len(strnum) - 1, -1, -1):
words.append(strnum[item])
hundred = words[:3]
thousand = words[3:6]
million = words[6:len(words)]
hundred = hundred[::-1]
thousan... | flexible | {
"blob_id": "843901b65a556e57470f73be2657e9fd3c0facc6",
"index": 9721,
"step-1": "<mask token>\n",
"step-2": "def parse(num):\n strnum = str(num)\n words = []\n for item in range(len(strnum) - 1, -1, -1):\n words.append(strnum[item])\n hundred = words[:3]\n thousand = words[3:6]\n mill... | [
0,
1,
2,
3
] |
''' Model package should containt all data types for the database engine,
which means that projects like PyCIM can be included within ''' | normal | {
"blob_id": "ce3c1a7210632d0a8475fe886d514eb91d3c75ac",
"index": 7700,
"step-1": "<mask token>\n",
"step-2": "''' Model package should containt all data types for the database engine, \nwhich means that projects like PyCIM can be included within '''",
"step-3": null,
"step-4": null,
"step-5": null,
"st... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(datetime.now().date() + timedelta(days=dd - nn))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
dd = int(input('enter number day: '))
nn = int(datetime.now().strftime('%w')) + 1
print(datetime.now().date() + ti... | flexible | {
"blob_id": "d3342507cb1966e14380ff28ae12b5c334abd20a",
"index": 5430,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(datetime.now().date() + timedelta(days=dd - nn))\n",
"step-3": "<mask token>\ndd = int(input('enter number day: '))\nnn = int(datetime.now().strftime('%w')) + 1\nprint(datetime.no... | [
0,
1,
2,
3,
4
] |
# Print list of files and directories
import os
def file_list(dir):
subdir_list = []
for item in os.listdir(dir):
fullpath = os.path.join(dir,item)
if os.path.isdir(fullpath):
subdir_list.append(fullpath)
else:
print(fullpath)
for d in subdir_list:
f... | normal | {
"blob_id": "051544f41cc3c7d78210076cb9720866924ea2a1",
"index": 2942,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef file_list(dir):\n subdir_list = []\n for item in os.listdir(dir):\n fullpath = os.path.join(dir, item)\n if os.path.isdir(fullpath):\n subdir_list.a... | [
0,
1,
2,
3,
4
] |
# Copyright The Linux Foundation and each contributor to CommunityBridge.
# SPDX-License-Identifier: MIT
"""
Holds the AWS SNS email service that can be used to send emails.
"""
import boto3
import os
import cla
import uuid
import json
import datetime
from cla.models import email_service_interface
region = os.enviro... | normal | {
"blob_id": "16dd73f2c85eff8d62cf0e605489d0db1616e36e",
"index": 8650,
"step-1": "<mask token>\n\n\nclass SNS(email_service_interface.EmailService):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass MockSNS(SNS):\n \"\"\"\n... | [
6,
12,
14,
15,
16
] |
<|reserved_special_token_0|>
def dataset_cat_description(path, cmap=None):
desc = yaml.load(open(path, 'r'), Loader=yaml.FullLoader)
colors = {}
names = []
for i, cat in enumerate(desc):
names.append(cat['name'])
if 'color' in cat:
colors[cat['id']] = torch.tensor(cat['colo... | flexible | {
"blob_id": "6c641ace8f1e5e8c42fa776bd7604daf243f9a41",
"index": 2113,
"step-1": "<mask token>\n\n\ndef dataset_cat_description(path, cmap=None):\n desc = yaml.load(open(path, 'r'), Loader=yaml.FullLoader)\n colors = {}\n names = []\n for i, cat in enumerate(desc):\n names.append(cat['name'])\... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
{'module_spec': {'module_name': 'Spec1'}}
<|reserved_special_token_1|>
{
"module_spec": {
"module_name": "Spec1"
}
}
| flexible | {
"blob_id": "1cfb0690ebe1d7c6ab93fa6a4bc959b90b991bc8",
"index": 7016,
"step-1": "<mask token>\n",
"step-2": "{'module_spec': {'module_name': 'Spec1'}}\n",
"step-3": "{\n \"module_spec\": {\n \"module_name\": \"Spec1\"\n }\n}\n\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(0, msg_count):
msg = {'id': i + 20, 'payload': 'Here is test message {}'.format(i + 20)}
sent = producer.send('test-topic2', bytes(json.dumps(msg), 'utf-8'))
<|reserved_special_token_1|>
<|reserved_specia... | flexible | {
"blob_id": "d763485e417900044d7ce3a63ef7ec2def115f05",
"index": 7263,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(0, msg_count):\n msg = {'id': i + 20, 'payload': 'Here is test message {}'.format(i + 20)}\n sent = producer.send('test-topic2', bytes(json.dumps(msg), 'utf-8'))\n",
... | [
0,
1,
2,
3
] |
import os
def get_os_env_value(key):
return os.getenv(key)
def get_mysql_uri(user, password, host, database):
return f'mysql+pymysql://{user}:{password}@{host}/{database}'
MASTER_MYSQL_DATABASE_USER = get_os_env_value('MASTER_MYSQL_DATABASE_USER')
MASTER_MYSQL_DATABASE_PASSWORD = get_os_env_value('MASTER_... | normal | {
"blob_id": "8247b045a5aed4d0f3db6bc2c0edd985f2c4ba30",
"index": 5305,
"step-1": "<mask token>\n\n\ndef get_mysql_uri(user, password, host, database):\n return f'mysql+pymysql://{user}:{password}@{host}/{database}'\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_os_env_value(key):\n return os.... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PasswordChangeForm(forms.Form):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PasswordChangeForm(forms.Form):
password = forms.CharField(min_length=8, label='New ... | flexible | {
"blob_id": "85fff1f6e1f69dd0e2e9b5acc90db31d27329c7c",
"index": 3352,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass PasswordChangeForm(forms.Form):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass PasswordChangeForm(forms.Form):\n password = forms.CharField(min_length=8, label='N... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class StaticTemplateList(TemplateList):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class StaticTemplateList(TemplateList):
def __init__(self, viewMode=None):
... | flexible | {
"blob_id": "7de3c0ab2e7c8ac00d37f1dfb5948027cfa7806c",
"index": 5084,
"step-1": "<mask token>\n\n\nclass StaticTemplateList(TemplateList):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass StaticTemplateList(TemplateList):\n\n def __init__(self, viewMode=None):\n ... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def gamblerProblem():
"""
Description:
This function Simulates a gambler who start with stake and place fair 1 bets until
he/she goes broke (i.e. has no money) or reach $goal. Keeps track of the number of... | flexible | {
"blob_id": "68904be892968d4a1d82a59a31b95a8133a30832",
"index": 8790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef gamblerProblem():\n \"\"\"\n Description:\n This function Simulates a gambler who start with stake and place fair 1 bets until\n he/she goes broke (i.e. has no... | [
0,
1,
2,
3,
4
] |
import logging
from django.contrib.auth import get_user_model
from django.db import models
from rest_framework import serializers
from rest_framework.test import APITestCase
from ..autodocs.docs import ApiDocumentation
from .utils import Deferred
log = logging.getLogger(__name__)
def get_serializer(endpoint, met... | normal | {
"blob_id": "04822e735c9c27f0e0fcc9727bcc38d2da84dee6",
"index": 7831,
"step-1": "<mask token>\n\n\nclass AutoTestCase(APITestCase):\n <mask token>\n\n @classmethod\n def setUpClass(cls):\n \"\"\"\n Создание пользователя для всех тестов, который цепляется через `settings.AUTH_USER_PK`\n\n ... | [
6,
11,
12,
14,
16
] |
import database
import nltk
def pop(i): # pupulate the words table
loc = i
sentencesTrial = []
File = open('words.txt')
lines = File.read()
sentences = nltk.sent_tokenize(lines)
locations = ["Castle","Beach","Beach","Ghost Town","Ghost Town","Haunted House","Jungle","Carnival", "Ghost Town", "Hi... | normal | {
"blob_id": "e7ac5c1010330aec81ce505fd7f52ccdeddb76de",
"index": 8923,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef pop(i):\n loc = i\n sentencesTrial = []\n File = open('words.txt')\n lines = File.read()\n sentences = nltk.sent_tokenize(lines)\n locations = ['Castle', 'Beach'... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class ImageClassifierMockup(ImageClassifier):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ImageClassifierMockup(ImageClassifier):
<|reserved_special_token_0|>
def classify_image(self, image... | flexible | {
"blob_id": "71fb9dc9f9ac8b1cdbc6af8a859dbc211512b4d1",
"index": 1675,
"step-1": "<mask token>\n\n\nclass ImageClassifierMockup(ImageClassifier):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ImageClassifierMockup(ImageClassifier):\n <mask token>\n\n def classify_image(self, ... | [
1,
2,
3,
4,
5
] |
import mysql.connector
# config = {
# "user":"root",
# "password":"Sm13481353",
# "host":"3"
# }
mydb = mysql.connector.connect(
user="seyed",
password="Sm13481353",
host="localhost",
database="telegram_bot",
auth_plugin="mysql_native_password"
)
mycursor = mydb.cursor()
query = "i... | normal | {
"blob_id": "a29a904290cb733ac7b526a75e0c218b952e2266",
"index": 4630,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nmycursor.execute('select * from question')\n<mask token>\nfor user in users:\n print(user)\n",
"step-3": "<mask token>\nmydb = mysql.connector.connect(user='seyed', password='Sm13481... | [
0,
1,
2,
3,
4
] |
<|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": "ea414835554ea3dcac2017036692cf178526f91b",
"index": 5641,
"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 = [('play', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Solution:
def grayCode(self, n: int) ->List[int]:
res = [0] * 2 ** n
exp = 0
l = ... | flexible | {
"blob_id": "dc600763b12edda05820721098e7e5bc80f74c89",
"index": 4798,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def grayCode(self, n: int) ->List[int]:\n res = [0] * 2 ** n\n exp = 0\n ... | [
0,
1,
2,
3
] |
import matplotlib.pyplot as plt
w1 = [(1, 2, 7), (1, 8, 1),
(1, 7, 5), (1, 6, 3),
(1, 7, 8), (1, 5, 9),
(1, 4, 5)]
w2 = [(-1, -4, -2), (-1, 1, 1),
(-1, -1, -3), (-1, -3, 2),
(-1, -5, -3.25), (-1, -2, -4),
(-1, -7, -1)]
dataset = [(1, 2, 7), (1, 8, 1),
(1, 7, 5), (1, 6, 3)... | normal | {
"blob_id": "15105e22b3c1860735f282a2247ab41b138d75cf",
"index": 3452,
"step-1": "import matplotlib.pyplot as plt\n\nw1 = [(1, 2, 7), (1, 8, 1),\n (1, 7, 5), (1, 6, 3),\n (1, 7, 8), (1, 5, 9),\n (1, 4, 5)]\nw2 = [(-1, -4, -2), (-1, 1, 1),\n (-1, -1, -3), (-1, -3, 2),\n (-1, -5, -3.25), (... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
layout = html.Div([html.Div([html.Div([html.H6('Répartition des biens'),
dcc.Graph(id='pieGraph', figure={'data': [{'values': [2878001, 2342181,
1773296, 521395], 'labels': ['Maison', 'Appartement', 'Dependance',
'loca... | flexible | {
"blob_id": "83c3193ea40c9328d16fb91774762a76352d8e09",
"index": 8417,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlayout = html.Div([html.Div([html.Div([html.H6('Répartition des biens'),\n dcc.Graph(id='pieGraph', figure={'data': [{'values': [2878001, 2342181,\n 1773296, 521395], 'labels': ['Ma... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
con = serial.Serial('/dev/tty****', 9600)
print('connected.')
while 1:
str = con.readline()
print(str.strip().decode('utf-8'))
<|reserved_special_token_0|>
<|reserved_special_token_1|>... | flexible | {
"blob_id": "108c8bbb4d3dbc6b7f32e084b13009296b3c5a80",
"index": 8016,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n con = serial.Serial('/dev/tty****', 9600)\n print('connected.')\n while 1:\n str = con.readline()\n print(str.strip().decode('utf-8'))\n\n\n<mask ... | [
0,
1,
2,
3,
4
] |
import sys
from pypsi.pipes import ThreadLocalStream
from pypsi.shell import Shell
from pypsi.core import pypsi_print
from nose.tools import *
class PypsiTestShell(Shell):
pass
class TestShellBootstrap(object):
def setUp(self):
self.real_stdout = sys.stdout
self.real_stderr = sys.stderr
... | normal | {
"blob_id": "1983340b3ce7ba8b631ba090871bea1ef7044943",
"index": 9333,
"step-1": "<mask token>\n\n\nclass TestShellBootstrap(object):\n <mask token>\n\n def tearDown(self):\n self.shell.restore()\n <mask token>\n\n def _test_bootstrap_stream_type(self, attr):\n assert_is_instance(getatt... | [
7,
10,
12,
13
] |
import scrapy
import datetime
from tzscrape.items import CitizenItem
class CitizenSpider(scrapy.Spider):
name = 'citizen'
allowed_domains = ['thecitizen.co.tz']
start_urls = ['http://www.thecitizen.co.tz/']
def parse(self, response):
# headlines
for href in response.xpath('//*[@itempro... | normal | {
"blob_id": "d307c3479e34a12971f62a765aca2ba0850d80d1",
"index": 5660,
"step-1": "<mask token>\n\n\nclass CitizenSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CitizenSpider(scrapy.Spider):\n <mask token... | [
1,
3,
4,
5,
6
] |
from peewee import BlobField
class BytesField(BlobField):
"""This is a BlobField adapted to our needs
Default BlobField returns memoryview when getting data from the db. We want bytes.
"""
def adapt(self, value):
if value and isinstance(value, memoryview):
return value.tobytes()
... | normal | {
"blob_id": "b11869076c2c8d6207df861cd1d0b0434b3f9477",
"index": 9836,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass BytesField(BlobField):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass BytesField(BlobField):\n <mask token>\n\n def adapt(self, value):\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AdminReqNoDetails(Resource):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class AdminReqNoDetails(Resource):
@jwt_required
def get(self):
parser = reqpars... | flexible | {
"blob_id": "d436362468b847e427bc14ca221cf0fe4b2623e3",
"index": 4408,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass AdminReqNoDetails(Resource):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass AdminReqNoDetails(Resource):\n\n @jwt_required\n def get(self):\n parser = r... | [
0,
1,
2,
3,
4
] |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string.
:type root: TreeNode
:rtype: str
... | normal | {
"blob_id": "006e1088e72201fab7eebd1409c025b5dba69403",
"index": 5938,
"step-1": "<mask token>\n",
"step-2": "class Codec:\n <mask token>\n <mask token>\n",
"step-3": "class Codec:\n <mask token>\n\n def deserialize(self, data):\n \"\"\"Decodes your encoded data to tree.\n \n ... | [
0,
1,
2,
3,
4
] |
def get_all_lefts(word,substring):
if len(substring) == 0:
yield ((len(word),word),)
else:
if substring[0] not in word:
yield (-1,)
else:
for i in range(len(word)):
if word[i] == substring[0]:
for sub_sequance in get_all_lefts(w... | normal | {
"blob_id": "8c0377b70b902e6e61351869a4378b4c2c50a3a7",
"index": 2478,
"step-1": "<mask token>\n",
"step-2": "def get_all_lefts(word, substring):\n if len(substring) == 0:\n yield (len(word), word),\n elif substring[0] not in word:\n yield -1,\n else:\n for i in range(len(word)):\... | [
0,
1,
2,
3
] |
from processing.DLDataEngineering import DLDataEngineering
from sklearn.preprocessing import OneHotEncoder
import pandas as pd
import numpy as np
import h5py
import os
from scipy.ndimage import gaussian_filter
#Deep learning packages
import tensorflow as tf
#from tensorflow import keras
from tensorflow.keras... | normal | {
"blob_id": "a0a6bd5de39a7599f7872639cdf3a59b8cda5498",
"index": 5230,
"step-1": "<mask token>\n\n\nclass DLModeler(object):\n\n def __init__(self, model_path, hf_path, num_examples, class_percentages,\n predictors, model_args, model_type):\n self.model_path = model_path\n self.hf_path = ... | [
8,
9,
10,
12,
13
] |
<|reserved_special_token_0|>
def checkStringLine(ip, host, pagel, objects, title):
onlyIp = ip.split(':')[0]
connection = siteLines()
with connection.cursor() as cursor:
sql = f"SELECT `IP` FROM `sites` WHERE `IP`='{onlyIp}'"
cursor.execute(sql)
result = cursor.fetchone()
i... | flexible | {
"blob_id": "6c5c07dadbe7ec70a210ee42e756be0d710c0993",
"index": 5272,
"step-1": "<mask token>\n\n\ndef checkStringLine(ip, host, pagel, objects, title):\n onlyIp = ip.split(':')[0]\n connection = siteLines()\n with connection.cursor() as cursor:\n sql = f\"SELECT `IP` FROM `sites` WHERE `IP`='{o... | [
1,
2,
4,
5,
6
] |
"""
Mount /sys/fs/cgroup Option
"""
from typing import Callable
import click
def cgroup_mount_option(command: Callable[..., None]) -> Callable[..., None]:
"""
Option for choosing to mount `/sys/fs/cgroup` into the container.
"""
function = click.option(
'--mount-sys-fs-cgroup/--no-mount-sys-... | normal | {
"blob_id": "237f5e2e37187e26b5628032e37d3a525ef72b9a",
"index": 7261,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef cgroup_mount_option(command: Callable[..., None]) ->Callable[..., None]:\n \"\"\"\n Option for choosing to mount `/sys/fs/cgroup` into the container.\n \"\"\"\n functi... | [
0,
1,
2,
3
] |
pairs = ['usdt', 'btc']
warn_msg = '** WARN ** '
info_msg = '** INFO **'
| normal | {
"blob_id": "26289d88ac51ee359faa81ca70b01879d2b1f840",
"index": 9460,
"step-1": "<mask token>\n",
"step-2": "pairs = ['usdt', 'btc']\nwarn_msg = '** WARN ** '\ninfo_msg = '** INFO **'\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
class Partition(Enum):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class RandomClassData(Dataset):
"""Standard normal distributed features and uniformly sampled discrete targets"""
def __ini... | flexible | {
"blob_id": "4c0c88f46c2d4607d9ac00755bf122e847ea2f6a",
"index": 6221,
"step-1": "<mask token>\n\n\nclass Partition(Enum):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass RandomClassData(Dataset):\n \"\"\"Standard normal distributed features and uniformly sampled discrete ta... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
plt.ion()
<|reserved_special_token_0|>
print('Visualizing example dataset for outlier detection.')
<|reserved_special_token_0|>
plt.figure()
plt.scatter(X[:, 0], X[:, 1], c='b', marker='x', s=15, linewidth=1)
plt.axis([0, 30, 0, 3... | flexible | {
"blob_id": "de6b9961e0572338c87802314e7ae3cded5168b4",
"index": 487,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.ion()\n<mask token>\nprint('Visualizing example dataset for outlier detection.')\n<mask token>\nplt.figure()\nplt.scatter(X[:, 0], X[:, 1], c='b', marker='x', s=15, linewidth=1)\nplt.a... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class DonationAnonymizer(Anonymizer):
model = Donation
attributes = [('id', 'SKIP'), ('profile_id', 'SKIP'), ('amount',
'integer'), ('date', 'date'), ('description', 'varchar'), ('notes',
'lorem')]
class AddressAnonymizer(Anonymizer):
model = Address
attr... | flexible | {
"blob_id": "63182a8708729606f96794cddb163f707252ba61",
"index": 3205,
"step-1": "<mask token>\n\n\nclass DonationAnonymizer(Anonymizer):\n model = Donation\n attributes = [('id', 'SKIP'), ('profile_id', 'SKIP'), ('amount',\n 'integer'), ('date', 'date'), ('description', 'varchar'), ('notes',\n ... | [
16,
18,
28,
29,
30
] |
<|reserved_special_token_0|>
class FoodpandastoreInfo2Pipeline:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class FoodpandastoreInfo2Pipeline:
def __init__(self):
engine = db_connect()
create_tables(engine)
... | flexible | {
"blob_id": "f66306908f1fdd5c662804e73596b445c66dc176",
"index": 9521,
"step-1": "<mask token>\n\n\nclass FoodpandastoreInfo2Pipeline:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass FoodpandastoreInfo2Pipeline:\n\n def __init__(self):\n engine = db_connect()\n creat... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
@click.command()
@click.argument('input_folder', type=click.Path(exists=True), default=path_in)
@click.argument('output_folder', type=click.Path(), default=path_out)
@click.argument('bounding_boxes_file', type=click.Path(), default=path_bb)
@click.option('--cores', type=click.INT, default... | flexible | {
"blob_id": "3479276d4769518aa60dcd4e1bb41a8a1a7d6517",
"index": 315,
"step-1": "<mask token>\n\n\n@click.command()\n@click.argument('input_folder', type=click.Path(exists=True), default=path_in)\n@click.argument('output_folder', type=click.Path(), default=path_out)\n@click.argument('bounding_boxes_file', type=c... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2017 Maarten Los
# See LICENSE.rst for details.
class Defaults(object):
INBUS_VERSION = 2
LOCALHOST = "127.0.0.1"
PORT = 7222
INBUS_ADDRESS = (LOCALHOST, PORT)
BUFFER_SIZE = 65536
| normal | {
"blob_id": "bc087482e901ce1831cef56aa9c7aef0c8f2d15a",
"index": 1793,
"step-1": "<mask token>\n",
"step-2": "class Defaults(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "class Defaults(object):\n INBUS_VERSION = 2\n LOCALHOST = '127.0... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class HackerNews(object):
<|reserved_special_token_0|>
def _get(self, url):
"""Internal method used for GET requests
Args:
url (string): URL to send GET.
Returns:
requests' response object
Raises:
HTTPError: If ... | flexible | {
"blob_id": "e14c7eb11c06d6de5c2f9f8adfb8b742fcb432e1",
"index": 8073,
"step-1": "<mask token>\n\n\nclass HackerNews(object):\n <mask token>\n\n def _get(self, url):\n \"\"\"Internal method used for GET requests\n\n Args:\n url (string): URL to send GET.\n\n Returns:\n ... | [
11,
16,
17,
20,
29
] |
import webapp2
class RedirectToSiteRootHandler(webapp2.RequestHandler):
def get(self):
self.response.set_status(301)
self.response.headers['Location'] = '/'
class AppendTrailingSlashHandler(webapp2.RequestHandler):
def get(self, uri):
self.response.set_status(301)
redirect_uri = uri + ... | normal | {
"blob_id": "064792a6aba96a679bec606a85b19d4925861f7d",
"index": 2493,
"step-1": "<mask token>\n\n\nclass AppendTrailingSlashHandler(webapp2.RequestHandler):\n\n def get(self, uri):\n self.response.set_status(301)\n redirect_uri = uri + '/'\n self.response.headers['Location'] = redirect_u... | [
2,
3,
4,
6,
7
] |
<|reserved_special_token_0|>
class Memoized(object):
def __init__(self, func):
self.func = func
self.results = {}
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Memoized(object):... | flexible | {
"blob_id": "8c055816def1c0a19e672ab4386f9b9a345b6323",
"index": 7837,
"step-1": "<mask token>\n\n\nclass Memoized(object):\n\n def __init__(self, func):\n self.func = func\n self.results = {}\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Memoized... | [
2,
4,
7,
8,
9
] |
<|reserved_special_token_0|>
class Character:
def __init__(self, screen, side_length, border_width, valid_points,
start_point, end_point, current_position, a_colour, na_colour, keys
=None, k_colour=None):
self.screen = screen
self.side_length = side_length
self.border_widt... | flexible | {
"blob_id": "f7f96b19bdc20f732566709a7801002fe49d49eb",
"index": 3214,
"step-1": "<mask token>\n\n\nclass Character:\n\n def __init__(self, screen, side_length, border_width, valid_points,\n start_point, end_point, current_position, a_colour, na_colour, keys\n =None, k_colour=None):\n sel... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class DiceWrongFacesItemsTypeError(Exception):
def __init__(self):
super().__init__('Dice "faces_items" argsument need to be iterable.')
class DiceWrongFacesItemsCountError(Exception):
def __init__(self, min_count):
super().__init__(
f'Dice "faces_i... | flexible | {
"blob_id": "5750fd4b59f75ea63b4214ee66b23602ed4d314d",
"index": 8909,
"step-1": "<mask token>\n\n\nclass DiceWrongFacesItemsTypeError(Exception):\n\n def __init__(self):\n super().__init__('Dice \"faces_items\" argsument need to be iterable.')\n\n\nclass DiceWrongFacesItemsCountError(Exception):\n\n ... | [
6,
7,
9,
12,
13
] |
# Generated by Django 2.2.6 on 2020-04-06 16:47
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='User',
fie... | normal | {
"blob_id": "1b71789ba7c2191b433a405723fe6c985c926610",
"index": 8620,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
<|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": "547935a67fb079e551534126534234ceb96ed0dd",
"index": 7648,
"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 = [('projects', ... | [
0,
1,
2,
3,
4
] |
"""Functions for parsing various strings to RGB tuples."""
import json
import re
from pathlib import Path
import importlib.resources as resources
from pilutils.basic import hex_to_rgb
__all__ = [
"parse_hex6",
"parse_hex3",
"parse_rgbfunc_int",
"parse_rgbfunc_float",
"parse_rgbfunc_percent",
"... | normal | {
"blob_id": "978f3979aee1c4361483fd61b54352e7fff8d3b3",
"index": 697,
"step-1": "<mask token>\n\n\ndef parse_hex3(hex3):\n \"\"\"Example: #a3d\"\"\"\n if (m := re.match('^#?([0-9A-Fa-f]{3})$', hex3.strip())):\n h3 = m.group(1)\n return tuple(int(c * 2, 16) for c in h3)\n raise ValueError(f... | [
7,
10,
12,
13,
14
] |
<|reserved_special_token_0|>
class GANLoss(nn.Module):
<|reserved_special_token_0|>
def __init__(self, loss_mode, which_net, which_D, target_real_label=1.0,
target_fake_label=0.0, CUDA=False):
""" Initialize the GAN's Discriminator Loss class.
Parameters:
loss_mode (str) ... | flexible | {
"blob_id": "9cea998d7d5cad3ddc00f667ca06151a938d48a1",
"index": 9424,
"step-1": "<mask token>\n\n\nclass GANLoss(nn.Module):\n <mask token>\n\n def __init__(self, loss_mode, which_net, which_D, target_real_label=1.0,\n target_fake_label=0.0, CUDA=False):\n \"\"\" Initialize the GAN's Discrim... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
def get(path):
return reduce(lambda view, part: view[part], path.split('.'), config).get()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
config.set_file('config.yaml')
def get(path):
return reduce(lambda view, part: view[part], path.split('.'), config).get()
<|r... | flexible | {
"blob_id": "16879598a8b1a0b23c5ea6de18f8fb0b0b77201c",
"index": 1360,
"step-1": "<mask token>\n\n\ndef get(path):\n return reduce(lambda view, part: view[part], path.split('.'), config).get()\n",
"step-2": "<mask token>\nconfig.set_file('config.yaml')\n\n\ndef get(path):\n return reduce(lambda view, par... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ZooAnnouncer(ZooAnnouncerInterface):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ZooAnnouncer(ZooAnnouncerInterface):
def updateZoo(self, annoucement):
... | flexible | {
"blob_id": "be9c21ee04a612f711a1e6a82ea9478c77b62a82",
"index": 8112,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ZooAnnouncer(ZooAnnouncerInterface):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ZooAnnouncer(ZooAnnouncerInterface):\n\n def updateZoo(self, annoucement):\n ... | [
0,
1,
2,
3,
4
] |
x = 25
y = 43
print(x & y)
print(x >> y)
print(x ^ y)
print(x | y)
| normal | {
"blob_id": "34d011727c93bb4c8ccf64017e7185717ef98667",
"index": 2603,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(x & y)\nprint(x >> y)\nprint(x ^ y)\nprint(x | y)\n",
"step-3": "x = 25\ny = 43\nprint(x & y)\nprint(x >> y)\nprint(x ^ y)\nprint(x | y)\n",
"step-4": null,
"step-5": null,
... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('')
print('Lesson #2')
print('Program start:')
for i in a:
if i < 9:
print(i)
print('End')
<|reserved_special_token_1|>
a = [3, 4, 2, 3, 5, 8, 23, 32, 35, 34, 4, 6, 9]
print('')
print('Lesson #2')
print('Progr... | flexible | {
"blob_id": "58f7810e2731721562e3459f92684589dc66862c",
"index": 881,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('')\nprint('Lesson #2')\nprint('Program start:')\nfor i in a:\n if i < 9:\n print(i)\nprint('End')\n",
"step-3": "a = [3, 4, 2, 3, 5, 8, 23, 32, 35, 34, 4, 6, 9]\nprint('... | [
0,
1,
2,
3
] |
myfavoritenumber = 5
print(myfavoritenumber)
x = 5
x = x + 1
print(x)
x, y, z = 1, 2, 3
print(x, y, z)
| normal | {
"blob_id": "e6c7b15e5b42cfe6c5dec2eaf397b67afd716ebd",
"index": 3858,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(myfavoritenumber)\n<mask token>\nprint(x)\n<mask token>\nprint(x, y, z)\n",
"step-3": "myfavoritenumber = 5\nprint(myfavoritenumber)\nx = 5\nx = x + 1\nprint(x)\nx, y, z = 1, 2, 3... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
url = 'https://jsonplaceholder.typicode.com'
if len(sys.argv) > 1:
user_id = sys.argv[1]
name = requests.get('{}/users/{}'.format(url, user_id)).json().get(
'name')
... | flexible | {
"blob_id": "e1a2b33a1ec7aca21a157895d8c7c5b5f29ff49c",
"index": 5047,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n url = 'https://jsonplaceholder.typicode.com'\n if len(sys.argv) > 1:\n user_id = sys.argv[1]\n name = requests.get('{}/users/{}'.format(ur... | [
0,
1,
2,
3
] |
short_train <- read.csv('short_train.csv', header=TRUE)
#delete unnecessary columns
short_train[1] <- NULL
#remove ngrams containing @user_
regexp <- "@[a-zA-Z0-9_]*"
gsubtry <- gsub(pattern = regexp, replacement = "", x = short_train$Tweet)
#merge gsubtry back into short_train, rename as Tweet
short_train_clean <- ... | normal | {
"blob_id": "48a970b35aa7fd677828f5d7bd5f1dcf24511b01",
"index": 9098,
"step-1": "short_train <- read.csv('short_train.csv', header=TRUE)\n\n#delete unnecessary columns\nshort_train[1] <- NULL\n\n#remove ngrams containing @user_\nregexp <- \"@[a-zA-Z0-9_]*\"\ngsubtry <- gsub(pattern = regexp, replacement = \"\",... | [
0
] |
from oil_prices import *
with_without = 'without training'
show_plot = 'yes'
print('START')
# Defining the past and future sequences for the LSTM training
n_past = 8
n_future = 1
target_date = '2018-11-16'
past = ['t']+['t-'+str(i) for i in range(1,n_past)]
future = ['t+'+str(i) for i in range(1,n_future+1)]
# Imp... | normal | {
"blob_id": "ec6067cc86b6ac702123d13911cc4ab97be6a857",
"index": 4077,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('START')\n<mask token>\nprint(' - Imports data and formats the data')\n<mask token>\ntimeseries_to_supervised(df_train, n_past, n_future)\n<mask token>\nif with_without == 'with tra... | [
0,
1,
2,
3,
4
] |
# -coding: UTF-8 -*-
# @Time : 2020/06/24 20:01
# @Author: Liangping_Chen
# @E-mail: chenliangping_2018@foxmail.com
import requests
def http_request(url,data,token=None,method='post'):
header = {'X-Lemonban-Media-Type': 'lemonban.v2',
'Authorization':token}
#判断是get请求还是post请求
if method=='ge... | normal | {
"blob_id": "dd7c7fa6493a43988e1c8079797f6ff9b4d239dd",
"index": 4672,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef http_request(url, data, token=None, method='post'):\n header = {'X-Lemonban-Media-Type': 'lemonban.v2', 'Authorization': token}\n if method == 'get':\n result = reque... | [
0,
1,
2,
3,
4
] |
# pylint: disable=W0621,C0114,C0116,W0212,W0613
import io
import textwrap
from typing import cast, Any, Dict
import toml
import pytest
from dae.testing import convert_to_tab_separated
from dae.configuration.gpf_config_parser import GPFConfigParser
from dae.configuration.schemas.person_sets import person_set_collectio... | normal | {
"blob_id": "6c8f690e1b43d459535238e24cccc8aa118e2d57",
"index": 3038,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef families_fixture():\n ped_content = io.StringIO(convert_to_tab_separated(\n \"\"\"\n familyId personId dadId\t momId\tsex status role\n f1 mom1 0 ... | [
7,
8,
10,
11,
13
] |
# Evolutionary Trees contains algorithms and methods used in determining phylogenetic inheritance of various species.
# Main algos UPGMA and CLUSTALW
from dataclasses import dataclass
import FormattingET
@dataclass
class Node:
age: int
num: int
label: str
alignment: []
def __init__(self, child1=Non... | normal | {
"blob_id": "53cf2dfe3319c39ca6f1dc890eea578fae654b5b",
"index": 8847,
"step-1": "<mask token>\n\n\n@dataclass\nclass Node:\n age: int\n num: int\n label: str\n alignment: []\n\n def __init__(self, child1=None, child2=None):\n self.child1 = child1\n self.child2 = child2\n\n\n<mask to... | [
9,
12,
16,
17,
21
] |
# -*- coding: utf-8 -*-
"""Test(s) for static files
:copyright: Copyright (c) 2019 RadiaSoft LLC. All Rights Reserved.
:license: http://www.apache.org/licenses/LICENSE-2.0.html
"""
from __future__ import absolute_import, division, print_function
import pytest
import os
_TEST_ID = '__NO_SUCH_STRING_IN_PAGE__'
def s... | normal | {
"blob_id": "65b5db0bc6f23c342138060b7a006ff61e2dcf45",
"index": 3761,
"step-1": "<mask token>\n\n\ndef test_injection(fc):\n from pykern import pkcompat, pkunit\n from pykern.pkdebug import pkdc, pkdp, pkdlog\n from pykern.pkunit import pkeq, pkok, pkre\n import re\n r = fc.get('myapp')\n pkok... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class UserInfoAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_... | flexible | {
"blob_id": "15134d7e4036c102bc9d2ba4d321fadd0467100f",
"index": 6637,
"step-1": "<mask token>\n\n\nclass UserInfoAdmin(admin.ModelAdmin):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass UserInf... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sty.use('seaborn')
<|reserved_special_token_0|>
rospy.init_node('graph_poses_extract')
for f in replayFiles:
print('new SLiding Graph')
inlierData = []
rmsData = []
inlierRatio = []
inFile = inNet + '/' + f + '... | flexible | {
"blob_id": "4b3de2d817aa6f8b92d513bcdba612362becefdc",
"index": 9070,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsty.use('seaborn')\n<mask token>\nrospy.init_node('graph_poses_extract')\nfor f in replayFiles:\n print('new SLiding Graph')\n inlierData = []\n rmsData = []\n inlierRatio = [... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, unicode_literals
import urllib
def normalize_mac_address(address):
return address.lower().replace("-", ":")
def urlencode(s):
return urllib.quote(s.encode("utf-8"), "")
def urlencode_plus(s):
return urllib.quote_plus(s.encode("... | normal | {
"blob_id": "33b8baf2ca819315eaa5f16c7986390acb4d6efd",
"index": 878,
"step-1": "<mask token>\n\n\ndef normalize_mac_address(address):\n return address.lower().replace('-', ':')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef normalize_mac_address(address):\n return address.lower().replace('-', ':... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class MsecDebugger(DebuggerBase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def debugger_app(self):
"""
Returns the name of the debugger applicat... | flexible | {
"blob_id": "706f8d83bc9b4fab6f6d365c047c33913daece61",
"index": 5014,
"step-1": "<mask token>\n\n\nclass MsecDebugger(DebuggerBase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def debugger_app(self):\n \"\"\"\n Returns the name of the debugger ... | [
8,
9,
12,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def display(request, id):
context = {'job': Job.objects.get(id=int(id))}
return render(request, 'handy_helper_exam/display.html', context)
<|reserved_special_token_1|>
from django.shortcuts import render, HttpResponse... | flexible | {
"blob_id": "f1fdba1c07a29aa22ee8d0dcbd6f902aa2e8b4c2",
"index": 9342,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef display(request, id):\n context = {'job': Job.objects.get(id=int(id))}\n return render(request, 'handy_helper_exam/display.html', context)\n",
"step-3": "from django.short... | [
0,
1,
2
] |
import tempfile
import unittest
from unittest.mock import mock_open, patch, MagicMock, call
import compare_apple_music_and_spotify as music_compare
class get_apple_music_data(unittest.TestCase):
def test_open_file(self):
with patch("builtins.open", mock_open(read_data="data")) as mock_file:
a... | normal | {
"blob_id": "eec08b3fdd4beb7d88ac0dc6d2e8776cf54fda35",
"index": 2727,
"step-1": "<mask token>\n\n\nclass spotify_data_parser(unittest.TestCase):\n\n def test_open_file_and_return_formated_data_split_by_coma(self):\n with patch('builtins.open', mock_open(read_data='split,by,')):\n result = m... | [
20,
23,
27,
28,
29
] |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 8 18:04:13 2018
@author: zhangchi
"""
class Solution(object):
def transpose(self, A):
"""
:type A: List[List[int]]
:rtype: List[List[int]]
"""
row = len(A[0])
result = [[] for _ in range(row)]
... | normal | {
"blob_id": "3882aaf94b19967a1d1eff23fa4862ea71de3b38",
"index": 7014,
"step-1": "#!/usr/bin/env python2\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Sun Jul 8 18:04:13 2018\n\n@author: zhangchi\n\"\"\"\n\nclass Solution(object):\n def transpose(self, A):\n \"\"\"\n :type A: List[List[int]]\n ... | [
0
] |
import requests
from bs4 import BeautifulSoup
import codecs
url = "https://en.wikipedia.org/wiki/Pennsylvania_State_University"
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
infoBox = soup.find("table", class_="infobox vcard")
webScrape = {"Univeristy": "The Pennsylvania State U... | normal | {
"blob_id": "f45ca4e75de7df542fbc65253bb9cc44a868522a",
"index": 6398,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor tr in infoBox.find_all('tr'):\n if len(tr.findChildren('th', recursive=False)) > 0 and len(tr.\n findChildren('td', recursive=False)) > 0:\n header = tr.findChildren(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def addstudent(request):
context = {}
return render(request, 'add_student.html', context)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def index(request):
student_objects = Student.objects.all()
context = {'students': studen... | flexible | {
"blob_id": "00e8e0b5aeccd2a67f6cfdad63012a0d8b066e6f",
"index": 9551,
"step-1": "<mask token>\n\n\ndef addstudent(request):\n context = {}\n return render(request, 'add_student.html', context)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef index(request):\n student_objects = Student.objects.a... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
@api_view(['POST'])
@authenticated
def fetchCurriculum(request):
university = request.DATA['user'].university.shortname
if university == 'Unknown':
ret = produceRetCode('fail', 'university not supported')
return Response(ret, status=status.HTTP_202_ACCEPTED)
tr... | flexible | {
"blob_id": "a33ddb999f7bb50688b33946046ba460cbbbd172",
"index": 9181,
"step-1": "<mask token>\n\n\n@api_view(['POST'])\n@authenticated\ndef fetchCurriculum(request):\n university = request.DATA['user'].university.shortname\n if university == 'Unknown':\n ret = produceRetCode('fail', 'university not... | [
4,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@pytest.mark.parametrize(('num_of_elements', 'middle_idx', 'window_size',
'expected_indices'), [(100, 0, 10, (0, 10)), (100, 1, 10, (0, 10)), (
100, 50, 10, (45, 55)), (271, 270, 10, (261, 271)), (314, 314, 10, (304,
... | flexible | {
"blob_id": "b7d7b6c070f237f9ab59f3367417ecf2672fbaaf",
"index": 6437,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.parametrize(('num_of_elements', 'middle_idx', 'window_size',\n 'expected_indices'), [(100, 0, 10, (0, 10)), (100, 1, 10, (0, 10)), (\n 100, 50, 10, (45, 55)), (271,... | [
0,
2,
3,
4,
5
] |
import pytest
import json
import os.path
import importlib
import jsonpickle
from fixture.application import Application
fixture = None
config = None
@pytest.fixture
def app(request):
global fixture
global config
browser = request.config.getoption("--browser")
if config is None:
conf_file_pat... | normal | {
"blob_id": "0c0fb3bfb81be5ef6a60584eafeefec61f171679",
"index": 9124,
"step-1": "<mask token>\n\n\n@pytest.fixture(scope='session', autouse=True)\ndef stop(request):\n global fixture\n\n def finalizer():\n fixture.session.ensure_logout()\n fixture.destroy()\n request.addfinalizer(finalize... | [
4,
5,
6,
7,
9
] |
import random
import time
from typing import Dict, List, Optional
from bemani.client.base import BaseClient
from bemani.protocol import Node
class ReflecBeatColette(BaseClient):
NAME = 'ＴＥＳＴ'
def verify_pcb_boot(self, loc: str) -> None:
call = self.call_node()
pcb = Node.void('pcb')
... | normal | {
"blob_id": "f781377a52400abd617e7f0c5529726120b78476",
"index": 3426,
"step-1": "<mask token>\n\n\nclass ReflecBeatColette(BaseClient):\n <mask token>\n\n def verify_pcb_boot(self, loc: str) ->None:\n call = self.call_node()\n pcb = Node.void('pcb')\n pcb.set_attribute('method', 'boot... | [
13,
14,
16,
18,
20
] |
print("Enter string:")
s=input()
a = s.lower()
vowels = "aeiou"
consonants = "bcdfghjklmnpqrstvwxyz"
digits = "1234567890"
whitespace = " "
c = 0
v = 0
d = 0
ws= 0
for i in a:
if i in vowels:
v+=1
elif i in consonants:
c+=1
elif i in digits:
d+=1
elif i in whitespace:
... | normal | {
"blob_id": "088c77e090d444e7057a91cac606995fb523c8ef",
"index": 3079,
"step-1": "<mask token>\n",
"step-2": "print('Enter string:')\n<mask token>\nfor i in a:\n if i in vowels:\n v += 1\n elif i in consonants:\n c += 1\n elif i in digits:\n d += 1\n elif i in whitespace:\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Alignment_Corrector(Module):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Alignment_Corrector(Module):
def __init__(self):
... | flexible | {
"blob_id": "f3eed00a58491f36778b3a710d2f46be093d6eda",
"index": 6320,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Alignment_Corrector(Module):\n <mask token>\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Alignment_Corrector(Module):\n\n def __init__(self):\n self.d... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
__all__: List[str]
record: Any
recarray: Any
format_parser: Any
fromarrays: Any
fromrecords: Any
fromstring: Any
fromfile: Any
array: Any
<|reserved_special_token_1|>
from typing import Any, List
__all__: List[str]
record: Any
... | flexible | {
"blob_id": "2e1ad83bcd16f59338032f8ad5ca8ebd74e92200",
"index": 6664,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__: List[str]\nrecord: Any\nrecarray: Any\nformat_parser: Any\nfromarrays: Any\nfromrecords: Any\nfromstring: Any\nfromfile: Any\narray: Any\n",
"step-3": "from typing import Any, ... | [
0,
1,
2
] |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
from sqlalchemy import select, update
from sqlalchemy import Table, Column, String, Integer, Float, Boolean, Date, BigInteger
from sqlalchemy import create_engine, MetaData
import API_and_Database_function as func
import pandas as pd
import re
connection, Twitter_Senti... | normal | {
"blob_id": "a558b42106b036719fe38ee6efd1c5b933290f52",
"index": 47,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nconnection.execute(stmt)\nfunc.update_annotations_db(Twitter_Sentiment_Analysis, connection,\n 'Export_csv5.csv')\n",
"step-3": "<mask token>\nconnection, Twitter_Sentiment_Analysis = ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def sample(x, arg=None):
if arg is None:
arg = []
arg.append(x)
return arg
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def sample(x, arg=[]):
arg.append(x)
return arg
<|reserved_s... | flexible | {
"blob_id": "1b645ab0a48b226e26009f76ea49fd3f10f5cc7b",
"index": 3880,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sample(x, arg=None):\n if arg is None:\n arg = []\n arg.append(x)\n return arg\n\n\n<mask token>\n",
"step-3": "def sample(x, arg=[]):\n arg.append(x)\n re... | [
0,
1,
2,
3,
4
] |
def game_manager(info_list):
dictionary = {}
for piece_info in info_list:
piece_info = piece_info.split('||')
piece_info[2] = int(piece_info[2])
if piece_info[2] not in dictionary:
dictionary[piece_info[2]] = {(piece_info[1],piece_info[0])}
dictionary[piece_info[2]].a... | normal | {
"blob_id": "a382edb861a43ac3065a781ea996a8d1dd819954",
"index": 6649,
"step-1": "<mask token>\n",
"step-2": "def game_manager(info_list):\n dictionary = {}\n for piece_info in info_list:\n piece_info = piece_info.split('||')\n piece_info[2] = int(piece_info[2])\n if piece_info[2] no... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with tf.name_scope('input_data'):
(iterate_data, sub_images, sub_depths, sub_images_placeholder,
sub_depths_placeholder) = rd.read_debug_data()
sub_images_coarse = tf.constant(value=np.moveaxis(sub_images[0:223, 0:... | flexible | {
"blob_id": "8a2cf1d550a593beae579104413b424e007d511f",
"index": 9048,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith tf.name_scope('input_data'):\n (iterate_data, sub_images, sub_depths, sub_images_placeholder,\n sub_depths_placeholder) = rd.read_debug_data()\n sub_images_coarse = tf.c... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(len(peptidasesList))
<|reserved_special_token_0|>
for i in range(len(peptidasesList)):
if peptidasesList.loc[i, 'PDB'] not in bindingSiteDic:
bindingSiteDic[peptidasesList.loc[i, 'PDB']] = {peptidasesList.loc[
... | flexible | {
"blob_id": "67b1cdfa514aac4fdac3804285ec8d0aebce944d",
"index": 6068,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(len(peptidasesList))\n<mask token>\nfor i in range(len(peptidasesList)):\n if peptidasesList.loc[i, 'PDB'] not in bindingSiteDic:\n bindingSiteDic[peptidasesList.loc[i, 'P... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python
import rospy
from op3_utils.op3_utils import *
from vision import *
import cv2
import sys
import rosnode
#Yellow >> Right
#Red >> Left
class States:
INIT = -1
GET_READY = 1
FIND_BAR = 2
WALK_2_BAR = 3
WALK_SIDEWAYS = 4
PICK_BAR = 5
WALK_WITH_BAR = 6
LIFT_BAR = 7
... | normal | {
"blob_id": "b3a2db38e2074b02c8837bfce85d06598a7b194d",
"index": 5701,
"step-1": "<mask token>\n\n\nclass States:\n INIT = -1\n GET_READY = 1\n FIND_BAR = 2\n WALK_2_BAR = 3\n WALK_SIDEWAYS = 4\n PICK_BAR = 5\n WALK_WITH_BAR = 6\n LIFT_BAR = 7\n WALK_2_FINISH = 8\n END = 99\n\n\n<ma... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def load_data_from_file(filename):
"""
Load that data, my dude(tte)
:param filename: The file from which you want to load data
:return: Time and position data of the file
"""
time = []
position = []
with open(filename, 'r') as original:
time_positio... | flexible | {
"blob_id": "4545ce36c4d3df50e263d3323c04c53acb2b50e0",
"index": 7888,
"step-1": "<mask token>\n\n\ndef load_data_from_file(filename):\n \"\"\"\n Load that data, my dude(tte)\n :param filename: The file from which you want to load data\n :return: Time and position data of the file\n \"\"\"\n ti... | [
5,
6,
8,
9,
10
] |
"""Test cases for the __main__ module."""
import pytest
from click.testing import CliRunner
from skimpy import __main__
from skimpy import generate_test_data
from skimpy import skim
@pytest.fixture
def runner() -> CliRunner:
"""Fixture for invoking command-line interfaces."""
return CliRunner()
def test_ma... | normal | {
"blob_id": "97a51d959ad642467c508cedc8786f636e4050bb",
"index": 1333,
"step-1": "<mask token>\n\n\n@pytest.fixture\ndef runner() ->CliRunner:\n \"\"\"Fixture for invoking command-line interfaces.\"\"\"\n return CliRunner()\n\n\ndef test_main_succeeds(runner: CliRunner) ->None:\n \"\"\"It exits with a s... | [
3,
6,
7,
8,
9
] |
'''
filter_items = lambda a : a[0] == 'b'
fruits = ["apple", "banana", "pear", "orange"]
result = filter(filter_items, fruits)
print(list(result))
'''
'''
Given a list of integers, return the even integers in the list.
input = [11, 4, 5, 8, 9, 2, 12]
output = [4, 8, 2, 12]
input = [3, 5, 7]
output = []
'''
# even_... | normal | {
"blob_id": "7d9032b2426dbf3c285b99efa78be38d8f76ec24",
"index": 1933,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(list(result))\n<mask token>\nprint(list(result))\n",
"step-3": "<mask token>\neven_integers = lambda a: a % 2 == 0\ninput = [11, 4, 5, 8, 9, 2, 12]\nresult = filter(even_integers,... | [
0,
1,
2,
3
] |
#
# MIT License
#
# Copyright (c) 2018 Matteo Poggi m.poggi@unibo.it
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, c... | normal | {
"blob_id": "fbd8af4ab3e4ebdcb07509db776d38f9c26fd06a",
"index": 9446,
"step-1": "<mask token>\n\n\nclass trinet(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def generate_image_left(self, img, disp):\n return bilinear_sampler_1d_h(img, -disp)\n\n def generate_... | [
8,
14,
15,
17,
18
] |
<|reserved_special_token_0|>
def Get_Attachments(service, userId, msg_id, store_dir):
"""Get and store attachment from Message with given id.
Args:
service: Authorized Gmail API service instance.
userId: User's email address. The special value "me"
can be used to in... | flexible | {
"blob_id": "dee1ab3adb7f627680410c774be44ae196f63f6c",
"index": 587,
"step-1": "<mask token>\n\n\ndef Get_Attachments(service, userId, msg_id, store_dir):\n \"\"\"Get and store attachment from Message with given id.\n Args:\n service: Authorized Gmail API service instance.\n user... | [
2,
4,
5,
6,
7
] |
__author__ = 'Jager'
from equipment import Equipment
class Weapon (Equipment):
def __init__(self, name, power):
super(Weapon, self).__init__(name)
self.power = power
@staticmethod
def fromJSON(jsonstr):
obj = Equipment.fromJSON(jsonstr)
return Weapon(obj["name"], obj["powe... | normal | {
"blob_id": "276d7ac493ddcb327dbce279d9f4bc8a74c98245",
"index": 5749,
"step-1": "<mask token>\n\n\nclass Weapon(Equipment):\n\n def __init__(self, name, power):\n super(Weapon, self).__init__(name)\n self.power = power\n <mask token>\n\n def __str__(self):\n return '{}: Power({})'.... | [
3,
4,
5,
6,
7
] |
import math
import numpy as np
import cv2
from matplotlib import pyplot as plt
from sklearn.cluster import KMeans
from sklearn import metrics
from scipy.spatial.distance import cdist
if (__name__ == "__main__"):
cap = cv2.VideoCapture('dfd1.mp4')
mog = cv2.createBackgroundSubtractorMOG2(detectSha... | normal | {
"blob_id": "28a0ae0492fb676044c1f9ced7a5a4819e99a8d9",
"index": 8890,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n cap = cv2.VideoCapture('dfd1.mp4')\n mog = cv2.createBackgroundSubtractorMOG2(detectShadows=0)\n count = 0\n while True:\n list = []\n ... | [
0,
1,
2,
3
] |
import numpy as np
import itertools as itt
from random import random
from sys import float_info
DIGITS = 3
ACCURACY = 0.001
UP_MAX = 30
class AngleInfo(object):
def __init__(self, information):
# 0 <= spin <= 360
# 0 <= up <= UP_MAX
# -1 <= sin, cos <= 1
if len(information) == 2:
... | normal | {
"blob_id": "97bbbbe6a3a89b9acc22ebdff0b96625d6267178",
"index": 3341,
"step-1": "import numpy as np\nimport itertools as itt\nfrom random import random\nfrom sys import float_info\n\nDIGITS = 3\nACCURACY = 0.001\nUP_MAX = 30\n\nclass AngleInfo(object):\n\n def __init__(self, information):\n # 0 <= spi... | [
0
] |
<|reserved_special_token_0|>
def main():
hostid = hostid_get(token)
itemid_array = itemid_get(hostid, token)
update(itemid_array, token)
def hostid_get(token):
payload = {}
payload['jsonrpc'] = '2.0'
payload['method'] = 'host.get'
payload['params'] = {}
payload['params']['output'] = ... | flexible | {
"blob_id": "18d7c486b9070a1c607ba2ba5876309246013182",
"index": 4651,
"step-1": "<mask token>\n\n\ndef main():\n hostid = hostid_get(token)\n itemid_array = itemid_get(hostid, token)\n update(itemid_array, token)\n\n\ndef hostid_get(token):\n payload = {}\n payload['jsonrpc'] = '2.0'\n payload... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class QuitButton(QtGui.QWidget):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class QuitButton(QtGui.QWidget):
def __init__(self, parent=None):
QtGui.QWidget.__init__(self, parent)
self.... | flexible | {
"blob_id": "5a3431b79b8f42b3042bb27d787d0d92891a7415",
"index": 3947,
"step-1": "<mask token>\n\n\nclass QuitButton(QtGui.QWidget):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass QuitButton(QtGui.QWidget):\n\n def __init__(self, parent=None):\n QtGui.QWidget.__init__(self... | [
1,
3,
4,
5,
6
] |
from datetime import datetime
import pytz
from pytz import timezone
##PDXtime = datetime.now()
##print(PDXtime.hour)
##
##NYCtime = PDXtime.hour + 3
##print(NYCtime)
##
##Londontime = PDXtime.hour + 8
##print(Londontime)
Londontz = timezone('Europe/London')
Londonlocaltime = datetime.now(Londontz)
print(Londo... | normal | {
"blob_id": "d8cfd9de95e1f47fc41a5389f5137b4af90dc0f1",
"index": 3949,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(Londonlocaltime)\nprint(Londonlocaltime.strftime('%H'))\n<mask token>\nprint(PDXlocaltime)\nprint(PDXlocaltime.strftime('%H'))\n<mask token>\nprint(NYClocaltime)\nprint(NYClocaltime... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
include('f469-disco/manifest_f469.py')
freeze('src')
| flexible | {
"blob_id": "3b29912788fa4cc76f34f52da7728e934ee96637",
"index": 7117,
"step-1": "<mask token>\n",
"step-2": "include('f469-disco/manifest_f469.py')\nfreeze('src')\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
#Classe do controlador do servidor SEEEEEEERVIDOOOOOOOOOOR
from usuarioModel import *
class ControllerSC:
'''
O controlador define 2 ações:
- adicionar_pessoa: para adicionar novas pessoas no banco de
dados.
- listar_pessoas: retornar a lista das pessoas
Note que as 2 ações supracita... | normal | {
"blob_id": "39eecf1c7ec19f7c75721caa092c08569f53d3e5",
"index": 9449,
"step-1": "<mask token>\n\n\nclass ControllerSC:\n <mask token>\n <mask token>\n\n @staticmethod\n def entrarSC(login, senha):\n resultado = Usuario.entrar(login, senha)\n return resultado\n <mask token>\n <mas... | [
2,
5,
6,
7,
8
] |
import mlcd,pygame,time,random
PLAYER_CHAR=">"
OBSTACLE_CHAR="|"
screenbuff=[[" "," "," "," "," "," "," "," "," "," "," "," "],
[" "," "," "," "," "," "," "," "," "," "," "," "]]
player={"position":0,"line":0,"score":000}
game={"speed":4.05,"level":2.5,"obstacle":0}
keys={"space":False,"quit":False,"nex... | normal | {
"blob_id": "aeaab602cbb9fa73992eb5259e8603ecb11ba333",
"index": 4863,
"step-1": "<mask token>\n\n\ndef keypress():\n global keys\n keys['space'] = keys['quit'] = keys['next'] = False\n for event in pygame.event.get():\n if event.type == pygame.KEYDOWN and event.key == pygame.K_SPACE:\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@dataclass_with_properties
class ExternalMap:
external_id: str
verified_using: List[IntegrityMethod] = field(default_factory=list)
location_hint: Optional[str] = None
defining_document: Optional[str] = None
<... | flexible | {
"blob_id": "1c085ea8f9b21ea7bef94ad4ecbb1771a57f697a",
"index": 2208,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@dataclass_with_properties\nclass ExternalMap:\n external_id: str\n verified_using: List[IntegrityMethod] = field(default_factory=list)\n location_hint: Optional[str] = None\... | [
0,
1,
2,
3,
4
] |
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