code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
import datetime
# weightloss script
currentWeight = 73
goalWeight = 67
avgKgPerWeek = 0.45
startDate = datetime.date.today()
endDate = startDate
while currentWeight > goalWeight:
# adding 7 days to simulate a week passing
endDate += datetime.timedelta(days=7)
currentWeight -= avgKgPerWeek
print... | normal | {
"blob_id": "7fb568880c40895870a0c541d9a88a8070a79e5b",
"index": 5762,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile currentWeight > goalWeight:\n endDate += datetime.timedelta(days=7)\n currentWeight -= avgKgPerWeek\n print(endDate, round(currentWeight, 2))\nprint(f'Start date: {startDat... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import hashlib
import re
from datetime import datetime
import gevent
import requests
import scrapy
from gevent.pool import Pool
from lxml import etree
from scrapy.http import HtmlResponse
from sqlalchemy import create_engine, func
from sqlalchemy.orm import sessionmaker
... | normal | {
"blob_id": "eb853e430b996a81dc2ef20c320979a3e04d956a",
"index": 237,
"step-1": "<mask token>\n\n\nclass Beautyleg7Spider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def parse(self, response):\n if self.db_session is No... | [
3,
6,
8,
9,
13
] |
Album,artist,year,songs="More Mayhem","Imelda May",2001,((1,"pulling the rug"),(2,"psycho"),(3,"mayhem"),(4,"kentisch town waltz"))
for song in songs:
track,title=song
print(" track number {}\t, title {}".format(track,title)) | normal | {
"blob_id": "30f02b956af68960804f0cb57695bdbf8510bc43",
"index": 7290,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor song in songs:\n track, title = song\n print(' track number {}\\t, title {}'.format(track, title))\n",
"step-3": "Album, artist, year, songs = 'More Mayhem', 'Imelda May', 200... | [
0,
1,
2,
3
] |
from base_plugin import *
from plugin_utils import *
from datetime import datetime
import time
class LogPlugin(Plugin):
def initialize(self):
self.add_trigger(on_message)
self.add_command("!chatsearch", self.search)
self.add_command("!chatreplay", self.replay)
def run(self, message):
append_to_file(str(... | normal | {
"blob_id": "d932ab84848c9a8ca8bb23a57424b8f6190b6260",
"index": 2563,
"step-1": "<mask token>\n\n\nclass LogPlugin(Plugin):\n <mask token>\n <mask token>\n\n def search(self, message, query, *additional_queries):\n chat_history = read_lines_from_file('chatlog.log')\n chat_history.reverse(... | [
3,
4,
5,
6,
7
] |
"""
100 4 200 1 3 2
100
4
200
1
3
2
6:35
"""
class Solution:
def longestConsecutive(self, nums: List[int]) -> int:
numset = set(nums)
ans = 0
# visited = set(nums)
maxnum = float('-inf')
if not nums:
return 0
for n in numset:
... | normal | {
"blob_id": "50c7ce95f17cbd40a753d16d9f9fab349ad4f4ce",
"index": 3801,
"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 longestConsecutive(self, nums: List[int]) ->int:\n numset = set(nums)\n a... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def create_app(config_name):
app = Flask(__name__)
app.config.from_object(Config)
app.config.from_object(config_options[config_name])
app.config['SECRET_KEY'] = 'd686414d5eeb7d38df7e8c385b2c2c47'
bootstrap.in... | flexible | {
"blob_id": "2eecc852a6438db19e0ed55ba6cc6610d76c6ed0",
"index": 2207,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_app(config_name):\n app = Flask(__name__)\n app.config.from_object(Config)\n app.config.from_object(config_options[config_name])\n app.config['SECRET_KEY'] = 'd... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def parse_page(page):
if 'redirect' in page.keys():
return
page_text = page['revision']['text']['#text']
page_text = remove_xml_comments(page_text)
title = page['title']
categories = extract_categorie... | flexible | {
"blob_id": "0ad2e6d7e3fd61943fc1dfe6662110a6f48c1bd5",
"index": 5347,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_page(page):\n if 'redirect' in page.keys():\n return\n page_text = page['revision']['text']['#text']\n page_text = remove_xml_comments(page_text)\n title ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
def select_sort(input):
print('\nSelect Sort')
input_len = len(input)
for i in range(0, input_len):
min_index = i
for j in range(i + 1, input_len):
if input[j] < input[min_index]:
min_index = j
tmp = input[i]
input[i]... | flexible | {
"blob_id": "c967aa647a97b17c9a7493559b9a1577dd95263a",
"index": 7806,
"step-1": "<mask token>\n\n\ndef select_sort(input):\n print('\\nSelect Sort')\n input_len = len(input)\n for i in range(0, input_len):\n min_index = i\n for j in range(i + 1, input_len):\n if input[j] < inpu... | [
1,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def eval_loop():
line = input('Please enter a sting')
while True:
if line == 'done':
break
else:
output = eval(line)
print(output)
line = input('Please enter a ... | flexible | {
"blob_id": "b0062dde448c450131f578a2afe130ca663f0902",
"index": 2041,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef eval_loop():\n line = input('Please enter a sting')\n while True:\n if line == 'done':\n break\n else:\n output = eval(line)\n ... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2015-2016 Applatix, Inc. All rights reserved.
#
'''
cAdvisor CLI. Used by axstats temporarily before moving to Heapster
'''
import requests
import logging
import time
logger = logging.getLogger(__name__)
CHECK_LIVELINESS_INTERVAL = 5
CONNECTION_TIMEOUT = 5
... | normal | {
"blob_id": "87f672919f6019e549508b239c798301d5f549bd",
"index": 7667,
"step-1": "<mask token>\n\n\nclass AXCadvisorClient(object):\n\n def __init__(self, ip):\n self._wait_interval = 60\n self._url_prefix = 'http://{ip}:{port}/api/v2.0/'.format(ip=ip,\n port=4194)\n self.wait_... | [
5,
6,
7,
8,
11
] |
<|reserved_special_token_0|>
class SeriesListSerializer(serializers.ModelSerializer):
class Meta:
model = Serie
fields = 'name',
class CatalogCoinListSerializer(serializers.ModelSerializer):
class Meta:
model = CatalogCoin
fields = ('id', 'face_value', 'currency', 'countr... | flexible | {
"blob_id": "b77da75b01e96ff89f873f4c5764a62cf68cd576",
"index": 217,
"step-1": "<mask token>\n\n\nclass SeriesListSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Serie\n fields = 'name',\n\n\nclass CatalogCoinListSerializer(serializers.ModelSerializer):\n\n\n class Meta:... | [
7,
8,
9,
10,
11
] |
#Program to convert temp in degree Celsius to temp in degree Fahrenheit
celsius=input("Enter temperature in Celsius")
celsius=int(celsius)
fah=(celsius*9/5)+32
print("Temp in ",celsius,"celsius=",fah," Fahrenheit")
| normal | {
"blob_id": "e1172cadeb8b2ce036d8431cef78cfe19bda0cb8",
"index": 2161,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Temp in ', celsius, 'celsius=', fah, ' Fahrenheit')\n",
"step-3": "celsius = input('Enter temperature in Celsius')\ncelsius = int(celsius)\nfah = celsius * 9 / 5 + 32\nprint('Tem... | [
0,
1,
2,
3
] |
ulang = 'y'
while True :
a = int(input ("masukkan nilai = "))
if a > 60 :
status = "LULUS"
elif a <= 60 :
status = "TIDAK LULUS"
print(status)
ulang = input("apakah anda ingin mengulang? y/n = ") | normal | {
"blob_id": "759b440bf436afbfb081cf55eeb4a0f075ed3e6d",
"index": 9577,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n a = int(input('masukkan nilai = '))\n if a > 60:\n status = 'LULUS'\n elif a <= 60:\n status = 'TIDAK LULUS'\n print(status)\n ulang = input('ap... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def create_events_calendar():
""" Create an events calendar if none already exists. This function mostly exists for
creating calendars for dev environments, not used in prod.
"""
service = get_calendar_service()
if not service:
return
calendar = {'summary':... | flexible | {
"blob_id": "36fb0d936be5c5d305c4076fd1c497664c9b770a",
"index": 8374,
"step-1": "<mask token>\n\n\ndef create_events_calendar():\n \"\"\" Create an events calendar if none already exists. This function mostly exists for\n creating calendars for dev environments, not used in prod.\n \"\"\"\n service ... | [
4,
6,
7,
8,
9
] |
# -*- coding: utf-8 -*-
import os
import re
import datetime
import sys
import codecs
import logging
import logging.handlers
import fnmatch
import time
import argparse
from antlr4 import *
from antlr4.tree.Trees import Trees
from lxml import etree
from AknJudgementClass import AknJudgementXML
from AknLega... | normal | {
"blob_id": "190f0bcbac946c410d964860fd5be8718011caa8",
"index": 2862,
"step-1": "# -*- coding: utf-8 -*-\r\nimport os\r\nimport re\r\nimport datetime\r\nimport sys\r\nimport codecs\r\nimport logging\r\nimport logging.handlers\r\nimport fnmatch\r\nimport time\r\nimport argparse\r\nfrom antlr4 import *\r\nfrom an... | [
0
] |
import mosquitto
import json
import time
device_id = "868850013067326"
# The callback for when the client receives a CONNACK response from the server.
def on_connect(mosq, userdata, rc):
print("Connected with result code "+str(rc))
# Subscribing in on_connect() means that if we lose the connection and
# r... | normal | {
"blob_id": "673d6bb02ec666dbdbecb5fd7fd5041da1941cf8",
"index": 2251,
"step-1": "import mosquitto\nimport json\nimport time\ndevice_id = \"868850013067326\"\n\n# The callback for when the client receives a CONNACK response from the server.\ndef on_connect(mosq, userdata, rc):\n print(\"Connected with result ... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
include('RecExRecoTest/RecExRecoTest_RTT_common.py')
<|reserved_special_token_0|>
include('RecExCommon/rdotoesdnotrigger.py')
include('RecExRecoTest/RecExRecoTest_RTT_common_postOptions.py')
<|reserved_special_token_1|>
include('RecExRecoTest/RecExRecoTest... | flexible | {
"blob_id": "34c91d273648ae72731fba7f5519a4920d77c0c3",
"index": 7192,
"step-1": "<mask token>\n",
"step-2": "include('RecExRecoTest/RecExRecoTest_RTT_common.py')\n<mask token>\ninclude('RecExCommon/rdotoesdnotrigger.py')\ninclude('RecExRecoTest/RecExRecoTest_RTT_common_postOptions.py')\n",
"step-3": "includ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = patterns('', url(regex='new_subscriber/$', view=
add_new_subscriber, name='support.new_subscriber'), url(regex=
'update_subscriber/(?P<pk>\\d+)/$', view=update_existing_subscriber,
name='support.update_su... | flexible | {
"blob_id": "fb4818e742ed3c7d131c426811f839dbe70f03de",
"index": 2650,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = patterns('', url(regex='new_subscriber/$', view=\n add_new_subscriber, name='support.new_subscriber'), url(regex=\n 'update_subscriber/(?P<pk>\\\\d+)/$', view=update_e... | [
0,
1,
2,
3
] |
from end import Client
c = Client()
| normal | {
"blob_id": "1be510e6715d21e814c48fe05496704e9a65d554",
"index": 308,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nc = Client()\n",
"step-3": "from end import Client\nc = Client()\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
} | [
0,
1,
2
] |
import pandas as pd
df = pd.DataFrame({'col1':[1,2,3,4],'col2':[444,555,666,444],'col3':['abc','def','ghi','xyz']})
print(df.head())
#print(df['col2'].unique())
#print(df['col1'] > 2)
newdf = df[(df['col1']>0) & (df['col2'] == 444)]
print("========================")
print(newdf)
def times2(x):
return x*2
print("=... | normal | {
"blob_id": "422a4945ebf453d3e09e9e7e76dd32b30488680e",
"index": 3011,
"step-1": "<mask token>\n\n\ndef times2(x):\n return x * 2\n\n\n<mask token>\n",
"step-2": "<mask token>\nprint(df.head())\n<mask token>\nprint('========================')\nprint(newdf)\n\n\ndef times2(x):\n return x * 2\n\n\nprint('=... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def solve():
valid_passes = 0
with open('.\\day4.txt') as fp:
for line in fp.read().strip().splitlines():
list_of_words = set()
add = 1
for word in line.split():
modified_word = ''.join(sorte... | flexible | {
"blob_id": "870d260b58c10e0379d66c3b44bc45594ff7d666",
"index": 4396,
"step-1": "<mask token>\n",
"step-2": "def solve():\n valid_passes = 0\n with open('.\\\\day4.txt') as fp:\n for line in fp.read().strip().splitlines():\n list_of_words = set()\n add = 1\n for w... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class TypeFrame(wx.Frame):
<|reserved_special_token_0|>
def createCogButtons(self, row):
cogButtons = self.domButtons if row == 0 else self.auxButtons
labels = ['N', 'S', 'T', 'F']
for i in range(4):
cogButtons.append(wx.Button(self.panel, labe... | flexible | {
"blob_id": "519dbe97ce9de30e616d660ef168e686c52b01b5",
"index": 5452,
"step-1": "<mask token>\n\n\nclass TypeFrame(wx.Frame):\n <mask token>\n\n def createCogButtons(self, row):\n cogButtons = self.domButtons if row == 0 else self.auxButtons\n labels = ['N', 'S', 'T', 'F']\n for i in ... | [
4,
5,
6,
7,
8
] |
#This is a module which implements Naive Set Theory in Python.
#It will be useful for Unions, Intersections, Mutual Exclusion, and more.
#ideas: print(sum([[[1],[2]], [[3],[4]], [[5],[6]]], [])) Monoid - abstraction on +
trial = [1, 2, 3]
trial2 = [3, 4, 5]
def recursiveUnioniser(set):
if isinstance(set[0], int)... | normal | {
"blob_id": "c632c50028fee2f19fb65458f0b55ec228b8006f",
"index": 2137,
"step-1": "<mask token>\n\n\ndef intersection(set_a, set_b):\n res = [i for i in set_a if i in set_b]\n return res\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef recursiveUnioniser(set):\n if isinstance(set[0], int):\n ... | [
1,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from ccapi.interfaces.bitfinex import Bitfinex
from ccapi.interfaces.bittrex import Bittrex
from ccapi.interfaces.poloniex import Poloniex
from ccapi.interfaces.bithumb import Bithumb
from ccapi.interfaces.coinone import Coinone
from ccapi.interfaces.korbit i... | flexible | {
"blob_id": "098c91f4aa367cb389e542c0199b633e7ecd4003",
"index": 4369,
"step-1": "<mask token>\n",
"step-2": "from ccapi.interfaces.bitfinex import Bitfinex\nfrom ccapi.interfaces.bittrex import Bittrex\nfrom ccapi.interfaces.poloniex import Poloniex\nfrom ccapi.interfaces.bithumb import Bithumb\nfrom ccapi.in... | [
0,
1,
2
] |
import logging
from logging import INFO
from typing import Dict, List
from .constants import Relations, POS
from .evaluator import *
from .general import DPHelper
from .general import *
from .utils import *
# ========================================= DRIVER =================================================
def genera... | normal | {
"blob_id": "5923a12378225fb6389e7e0275af6d4aa476fe87",
"index": 1635,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generate(root: Dict):\n relations: List[Dict] = []\n subj = DPHelper.get_subject(root)\n obj = DPHelper.get_object(root)\n if subj is not None and DPHelper.is_proper_n... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class LoginViewWebApp(FlaskView):
<|reserved_special_token_0|>
def __init__(self):
self.user_controller = UserController()
@route('/register', methods=['GET', 'POST'])
def register_user(self):
if request.method == 'GET':
return render_template... | flexible | {
"blob_id": "a2e77298059104b403555af95430d7995f8a697b",
"index": 1379,
"step-1": "<mask token>\n\n\nclass LoginViewWebApp(FlaskView):\n <mask token>\n\n def __init__(self):\n self.user_controller = UserController()\n\n @route('/register', methods=['GET', 'POST'])\n def register_user(self):\n ... | [
4,
5,
6,
7,
8
] |
<|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": "3f9be81c86852a758440c6a144b8caba736b3868",
"index": 972,
"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 = [('usuarios', '... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 7 15:26:08 2019
@author: Qlala
"""
import numpy as np;
import random as rand;
import os;
#os.system("del test_frame2.txt")
#frame=open("test_frame2.txt","w");
#ba=bytearray(rand.getrandbits(8) for _ in range(400000))
#frame.write("0"*1000000)
#frame.close()
#ba.decode('... | normal | {
"blob_id": "281f2f47f9d7f0d87a354d37f9ff2c14a5598068",
"index": 2893,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nos.chdir('test')\nfor i in range(1000):\n t_frame = open('test_f' + str(i), 'w')\n t_frame.write('0' * 1000000)\n t_frame.close()\nos.chdir('..')\n",
"step-3": "<mask token>\ni... | [
0,
1,
2,
3
] |
# Generated by Django 3.1.1 on 2020-12-02 19:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('element', '0011_suggestion_suggestion_type'),
('bot', '0001_initial'),
]
operations = [
migrations.AddField(
model_name=... | normal | {
"blob_id": "43ae01ffe35c6c4491f3f7e480dd6f5c1be86eb2",
"index": 2475,
"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 = [('element', '... | [
0,
1,
2,
3,
4
] |
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers, Sequential, optimizers
import numpy as np
from tensorflow.compat.v1.keras.backend import set_session
config = tf.compat.v1.ConfigProto()
config.gpu_optio... | normal | {
"blob_id": "e626a7f3f9241db8684c3b8c1bd79ea49e03490d",
"index": 8141,
"step-1": "<mask token>\n\n\nclass BasicBlock(layers.Layer):\n <mask token>\n\n def call(self, inputs, training=None):\n out = self.conv1(inputs)\n out = self.bn1(out)\n out = self.relu1(out)\n out = self.con... | [
6,
7,
8,
9,
11
] |
<|reserved_special_token_0|>
class Eye11(Page):
form_model = models.Player
form_fields = ['option_11']
timeout_seconds = 10
class Eye12(Page):
form_model = models.Player
form_fields = ['option_12']
timeout_seconds = 10
class Eye13(Page):
form_model = models.Player
form_fields = ['o... | flexible | {
"blob_id": "8fecfdf4b3772e5304f0b146317f94cdbd7fbd53",
"index": 5791,
"step-1": "<mask token>\n\n\nclass Eye11(Page):\n form_model = models.Player\n form_fields = ['option_11']\n timeout_seconds = 10\n\n\nclass Eye12(Page):\n form_model = models.Player\n form_fields = ['option_12']\n timeout_s... | [
76,
81,
85,
100,
105
] |
import os
import factorStatFileCreator
dirName = 'NoPerms/'
dirName2 = 'AllPerms/'
freqAgentDic = dict()
lenAgentDic = dict()
contAgentDic = dict()
def freqModAvgFunc(dirName):
fullList = factorStatFileCreator.directoryFreq(dirName)
UA = dirName.split("/")[1]
avgList = []
sum = 0
i = 0
while ... | normal | {
"blob_id": "8ac84aa29e9e4f3b85f1b3c27819feb5f41e8d8e",
"index": 598,
"step-1": "<mask token>\n\n\ndef freqModAvgFunc(dirName):\n fullList = factorStatFileCreator.directoryFreq(dirName)\n UA = dirName.split('/')[1]\n avgList = []\n sum = 0\n i = 0\n while i <= len(fullList) - 2:\n diff =... | [
7,
8,
9,
10,
12
] |
#! /usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'raek'
web = '910d59f0-30bd-495b-a54c-bf5addc81a8a'
app = '21ec74fb-e941-43be-8772-a2f8dc6ccc4f' | normal | {
"blob_id": "cce645073ba117b9e297dfccf5a39710b0c6cd14",
"index": 8479,
"step-1": "<mask token>\n",
"step-2": "__author__ = 'raek'\nweb = '910d59f0-30bd-495b-a54c-bf5addc81a8a'\napp = '21ec74fb-e941-43be-8772-a2f8dc6ccc4f'\n",
"step-3": "#! /usr/bin/python\n# -*- coding: utf-8 -*-\n__author__ = 'raek'\n\nweb ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
warnings.filterwarnings(action='ignore', module='scipy', message=
'^internal gelsd')
<|reserved_special_token_0|>
model.intercept_
print(model.intercept_)
model.coef_
print(model.coef_)
<|reserved_special_token_1|>
<|reserv... | flexible | {
"blob_id": "0f257d199ad0285d8619647434451841144af66d",
"index": 9379,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwarnings.filterwarnings(action='ignore', module='scipy', message=\n '^internal gelsd')\n<mask token>\nmodel.intercept_\nprint(model.intercept_)\nmodel.coef_\nprint(model.coef_)\n",
"... | [
0,
1,
2,
3,
4
] |
# Generated by Django 2.2.4 on 2019-09-09 11:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0002_ordered'),
]
operations = [
migrations.AlterField(
model_name='generalinfo',
name='amount_available',
... | normal | {
"blob_id": "8af9cc32b445402fa790b29382a802bd8afc1100",
"index": 5655,
"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 = [('core', '000... | [
0,
1,
2,
3,
4
] |
import pandas as pd
import matplotlib.pyplot as plt
import math
import seaborn as sns
import numpy as np
suv_data=pd.read_csv("F:/Development/Machine Learning/suv-data/suv_data.csv")
print(suv_data.head(10))
print("the no of passengers in the list is"+str(len(suv_data.index)))
sns.countplot(x="Purchased",data=suv_data... | normal | {
"blob_id": "c955057d7f8d5289898ecb96a290f5a7d241b787",
"index": 6440,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(suv_data.head(10))\nprint('the no of passengers in the list is' + str(len(suv_data.index)))\nsns.countplot(x='Purchased', data=suv_data)\nsns.countplot(x='Purchased', hue='Gender', ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
errors = []
for arg in sys.argv[1:]:
try:
validate_fragment('envoy.config.bootstrap.v3.Bootstrap', yaml.
safe_load(pathlib.Path(arg).read_text()))
except (ParseErro... | flexible | {
"blob_id": "04097e63de5cd94ca8921be5cb6c2155c1e7bc20",
"index": 7534,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n errors = []\n for arg in sys.argv[1:]:\n try:\n validate_fragment('envoy.config.bootstrap.v3.Bootstrap', yaml.\n safe_load(pathlib... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def loop(run_state):
error = 1
simulations = 1
while run:
error_margin = str(error / simulations * 100) + '%'
prediction = get_prediction()
print('Prediction: %s' % prediction)
print('Error Margin: %s' % error_margin)
print('Flip the coi... | flexible | {
"blob_id": "25ff54a969651d365de33f2420c662518dd63738",
"index": 864,
"step-1": "<mask token>\n\n\ndef loop(run_state):\n error = 1\n simulations = 1\n while run:\n error_margin = str(error / simulations * 100) + '%'\n prediction = get_prediction()\n print('Prediction: %s' % predict... | [
5,
6,
7,
8,
9
] |
a=range(1,11) #1~10숫자를 에이에 저장
b=1
for i in a: #a에있는 원소를 b에 곱하고 비에 저장
b*=i
print(b)
| normal | {
"blob_id": "8cb7290792f9390dd350e0c79711e0dd72d6063b",
"index": 9508,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in a:\n b *= i\nprint(b)\n",
"step-3": "a = range(1, 11)\nb = 1\nfor i in a:\n b *= i\nprint(b)\n",
"step-4": "a=range(1,11) #1~10숫자를 에이에 저장\nb=1\nfor i in a: #a에있는 원소를 ... | [
0,
1,
2,
3
] |
import sys
import numpy as np
sys.setrecursionlimit(10 ** 7)
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
N, M = map(int, input().split())
def cumprod(arr, MOD):
L = len(arr)
Lsq = int(L ** 0.5 + 1)
arr = np.resize(arr, Lsq ** 2).reshape(Lsq, ... | normal | {
"blob_id": "43d5bf79f16e8530797cdd13cdfcc91f0d3aef5e",
"index": 8208,
"step-1": "<mask token>\n\n\ndef cumprod(arr, MOD):\n L = len(arr)\n Lsq = int(L ** 0.5 + 1)\n arr = np.resize(arr, Lsq ** 2).reshape(Lsq, Lsq)\n for n in range(1, Lsq):\n arr[:, n] *= arr[:, n - 1]\n arr[:, n] %= MO... | [
3,
4,
5,
6,
7
] |
from wrapper import SeleniumWrapper
from selenium.webdriver.common.by import By
class PageDetector:
def __init__(self, driver):
self.selenium = SeleniumWrapper(driver)
def detect(self):
if self.selenium.wait_for_presence(locator=(By.ID, "teams-app-bar"), timeout=30):
if sel... | normal | {
"blob_id": "603d7df0639def2b620cca2299077674e35a74b2",
"index": 5980,
"step-1": "<mask token>\n\n\nclass PageDetector:\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass PageDetector:\n\n def __init__(self, driver):\n self.selenium = SeleniumWrapper(driver)\n <mask token>\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def postfix(expression):
operators, stack = '+-*/', []
for item in expression.split():
if item not in operators:
stack.append(item)
else:
operand_1, operand_2 = stack.pop(), stack.pop()
stack.append(... | flexible | {
"blob_id": "3ae0149af78216d6cc85313ebaa6f7cd99185c05",
"index": 531,
"step-1": "<mask token>\n",
"step-2": "def postfix(expression):\n operators, stack = '+-*/', []\n for item in expression.split():\n if item not in operators:\n stack.append(item)\n else:\n operand_1,... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
sns.set()
get_ipython().magic('matplotlib inline')
<|reserved_special_token_0|>
if header_included:
header = 0
<|reserved_special_token_0|>
for item in combinations:
index = ax[i]
x_vis = X[:, [features[item[0]], featu... | flexible | {
"blob_id": "f2786e445bdf66cf6bb66f4cde4c7b2bf819d8aa",
"index": 3299,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsns.set()\nget_ipython().magic('matplotlib inline')\n<mask token>\nif header_included:\n header = 0\n<mask token>\nfor item in combinations:\n index = ax[i]\n x_vis = X[:, [featu... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%Y-%m-%d 00:00:00'))
<|reserved_special_token_1|>
from datetime import datetime, time, timedelta
print(datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%Y-%m-%d 00:... | flexible | {
"blob_id": "4dac8e7e695c473cb73ceaf3887373bcc0a08aff",
"index": 5940,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%Y-%m-%d 00:00:00'))\n",
"step-3": "from datetime import datetime, time, timedelta\nprint(datetime.strptime('2013-1-25', '%Y-%... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def new_w(w, d):
"""
Multi-period commitments in the next epoch.
Args:
d: Defender's actions
m: Number of non multi-period commitments. (i.e. The first m defender's actions are not multi-period)
s = [q, r, w]: Current State
tau: An array denotin... | flexible | {
"blob_id": "87f3885b4357d66a745932f3c79804e6c15a57fa",
"index": 3162,
"step-1": "<mask token>\n\n\ndef new_w(w, d):\n \"\"\"\n Multi-period commitments in the next epoch.\n Args:\n d: Defender's actions\n m: Number of non multi-period commitments. (i.e. The first m defender's actions are ... | [
3,
4,
5,
6,
7
] |
from PyQt5 import QtCore
from PyQt5.QtWidgets import QTableWidgetItem, QDialog
from QT_view.PassportAdd import PassportAddDialog
from QT_view.PassportWin import Ui_Dialog
from Repository.Rep_Passport import PassportRepository
class PassportQt(QDialog):
def __init__(self):
super(PassportQt, self... | normal | {
"blob_id": "3f1715763a066fb337b3ff3d03e3736d0fb36b3f",
"index": 7325,
"step-1": "<mask token>\n\n\nclass PassportQt(QDialog):\n\n def __init__(self):\n super(PassportQt, self).__init__()\n self.passport_rep = PassportRepository()\n self.initUI()\n <mask token>\n\n def click_add(sel... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
list.sort(table)
print(table[num - 1] - table[0])
<|reserved_special_token_1|>
num = int(input())
str = input().split()
table = [int(i) for i in str]
list.sort(table)
print(table[num - 1] - table[0])
<|reserved_special_token_... | flexible | {
"blob_id": "d853964d424e628d6331b27123ad045f8d945dc0",
"index": 4026,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlist.sort(table)\nprint(table[num - 1] - table[0])\n",
"step-3": "num = int(input())\nstr = input().split()\ntable = [int(i) for i in str]\nlist.sort(table)\nprint(table[num - 1] - tabl... | [
0,
1,
2,
3
] |
#app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db'
#app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True;
#db = SQLAlchemy(app)
# MONGODB CREATION
#Creating a pymongo client
client = MongoClient('localhost', 27017)
#Getting the database instance
db = client['mydb']
print("Database created........")
#Verif... | normal | {
"blob_id": "5b7567129d447ae2b75f4a8f9c26127f8b7553ec",
"index": 7818,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Database created........')\nprint('List of databases after creating new one')\nprint(client.list_database_names())\n<mask token>\nmeta.create_all(engine)\n",
"step-3": "client = ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def cv_diff_value(prevalue, postvalue):
return postvalue - prevalue
def cv_diff_rate(prevalue, postvalue):
return (postvalue - prevalue) / prevalue * 100
def cv_maN_value(cv, N):
str_replay = 'N의 값을 다시 입력해주세요'
if 3 <= N <= 5:
return cv.rolling(window=N).mean()
... | flexible | {
"blob_id": "a967b97f090a71f28e33c5ca54cb64db3967aea3",
"index": 7002,
"step-1": "<mask token>\n\n\ndef cv_diff_value(prevalue, postvalue):\n return postvalue - prevalue\n\n\ndef cv_diff_rate(prevalue, postvalue):\n return (postvalue - prevalue) / prevalue * 100\n\n\ndef cv_maN_value(cv, N):\n str_repla... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class ClientCreator(object):
<|reserved_special_token_0|>
def __init__(self, loader, endpoint_creator):
self._loader = loader
self._endpoint_creator = endpoint_creator
def create_client(self, service_name, region_name, is_secure=True,
endpoint_url=Non... | flexible | {
"blob_id": "829c833866198307d7d19c4a0cbe40299ee14eb9",
"index": 5288,
"step-1": "<mask token>\n\n\nclass ClientCreator(object):\n <mask token>\n\n def __init__(self, loader, endpoint_creator):\n self._loader = loader\n self._endpoint_creator = endpoint_creator\n\n def create_client(self, ... | [
6,
8,
15,
16,
18
] |
from abc import ABC
# This is base class
class Vehicle(ABC):
pass
# GroundVehicle inherits from Vehicle
class GroundVehicle(Vehicle):
pass
# Car inherits from GroundVehicle
class Car(GroundVehicle):
pass
# Motorcycle inherits from GroundVehicle
class Motorcycle(GroundVehicle):
pass
# FlightVehicle ... | normal | {
"blob_id": "d7db617131bf6e72c7aa808030f7286ddb609cc2",
"index": 4579,
"step-1": "<mask token>\n\n\nclass Motorcycle(GroundVehicle):\n pass\n\n\nclass FlightVehicle(Vehicle):\n pass\n\n\nclass Starship(FlightVehicle):\n pass\n\n\nclass Airplane(FlightVehicle):\n pass\n",
"step-2": "<mask token>\n\n... | [
4,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class VigenereCipher(object):
def __init__(self, key):
print('Vigenere Cipher Encription')
self.key = key
def encode(self, text):
key = self.key
ans = ''
for index, i in enumerate(text):
if ord('!') <= ord(i) <= ord('~'):
... | flexible | {
"blob_id": "38906a31ab96e05a9e55a51260632538872ed463",
"index": 6889,
"step-1": "<mask token>\n\n\nclass VigenereCipher(object):\n\n def __init__(self, key):\n print('Vigenere Cipher Encription')\n self.key = key\n\n def encode(self, text):\n key = self.key\n ans = ''\n ... | [
8,
9,
11,
12,
13
] |
# coding: utf-8
# In[1]:
#coding:utf8
import matplotlib
import os
if 'DISPLAY' not in os.environ:
matplotlib.use('Agg')
else:
pass
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
from matplotlib import pyplot as plt
import seaborn as sns
from tqdm import tq... | normal | {
"blob_id": "3022cade3bfa36925bcbda8023e5cd98ed33d093",
"index": 9901,
"step-1": "<mask token>\n\n\ndef get_accuracy(model, kb):\n results = []\n for clause in kb.clauses:\n o1, o2 = model.forward(clause)\n if o2.data.numpy()[0][0] > 0.9:\n results.append(1.0)\n else:\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class ghetto(GridLayout):
<|reserved_special_token_0|>
def biyoCallback(self, a):
webbrowser.open_new(
'https://us04web.zoom.us/j/8651192984?pwd=cFV0bUNPTXRUOGVPZWw4dEhDQm0vUT09'
)
def edebCallback(self, a):
webbrowser.open_new(
... | flexible | {
"blob_id": "39affe139eec4cf6877646188839d79ed575235c",
"index": 8952,
"step-1": "<mask token>\n\n\nclass ghetto(GridLayout):\n <mask token>\n\n def biyoCallback(self, a):\n webbrowser.open_new(\n 'https://us04web.zoom.us/j/8651192984?pwd=cFV0bUNPTXRUOGVPZWw4dEhDQm0vUT09'\n )\n... | [
11,
12,
15,
17,
18
] |
#!/usr/bin/env python
# coding: utf-8
import sys,pysrt
import urllib2,urllib,json
import re
from urlparse import urlparse
import os
from mtranslate import translate
from argparse import ArgumentParser
reload(sys)
sys.setdefaultencoding('utf8')
#------------------------------------------------------------------------... | normal | {
"blob_id": "e51c57f4487a3225936d073142f1f770815c0d47",
"index": 7589,
"step-1": "#!/usr/bin/env python\n# coding: utf-8\nimport sys,pysrt\nimport urllib2,urllib,json\nimport re\nfrom urlparse import urlparse\nimport os\nfrom mtranslate import translate\nfrom argparse import ArgumentParser\nreload(sys) \nsys.se... | [
0
] |
"""
Function of main.py:
config loader
hprams loader
feature extraction
Call model training and validation
Model Save and Load
Call model validation
载入训练参数
载入指定模型超参数
调用特征提取
调用模型训练和验证
模型保存与载入
调用模型验证
"""
"""A very simple MNIST classifier.
See extensive documentation at
https://www.tensorflow.org/get_started/mnist/beg... | normal | {
"blob_id": "c6174fae929366cabb8da3d810df705b19895c1c",
"index": 2763,
"step-1": "\"\"\"\nFunction of main.py:\n\nconfig loader\nhprams loader\nfeature extraction\nCall model training and validation\nModel Save and Load\nCall model validation\n\n载入训练参数\n载入指定模型超参数\n调用特征提取\n调用模型训练和验证\n模型保存与载入\n调用模型验证\n\"\"\"\n\n\... | [
0
] |
"""autogenerated by genpy from arm_navigation_msgs/GetPlanningSceneRequest.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import arm_navigation_msgs.msg
import geometry_msgs.msg
import std_msgs.msg
import genpy
import sensor_msgs.msg
class GetPlanni... | normal | {
"blob_id": "b8e18877af990c533c642d4937354198a4676419",
"index": 5194,
"step-1": "<mask token>\n\n\nclass GetPlanningSceneResponse(genpy.Message):\n _md5sum = '285525c9abe002fbafa99af84a14b4cb'\n _type = 'arm_navigation_msgs/GetPlanningSceneResponse'\n _has_header = False\n _full_text = \"\"\"\n\nPla... | [
10,
14,
18,
20,
21
] |
<|reserved_special_token_0|>
class Zaojiaopage(Crazy):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def click_zao(self):
self.click(self.zao_btn_loc)
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def click_find(self):
self.click(self.find_loc)
<|r... | flexible | {
"blob_id": "1980fb4d6e7d3c6fe51f4a242610b5489e553859",
"index": 128,
"step-1": "<mask token>\n\n\nclass Zaojiaopage(Crazy):\n <mask token>\n <mask token>\n\n def click_zao(self):\n self.click(self.zao_btn_loc)\n <mask token>\n <mask token>\n\n def click_find(self):\n self.click(s... | [
73,
89,
121,
148,
152
] |
from django.shortcuts import render
from rest_framework import status
from rest_framework.decorators import api_view, renderer_classes
from rest_framework.renderers import BrowsableAPIRenderer, JSONRenderer
from rest_framework.response import Response
from feedback.models import Feedback
from feedback.serializers impor... | normal | {
"blob_id": "bd6c72c3215265a349c5f47573063a9288f64198",
"index": 5227,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@api_view(['GET', 'POST'])\n@renderer_classes([JSONRenderer, BrowsableAPIRenderer])\ndef feedback_list(request, format=None):\n \"\"\"\n List all feedback or create a new feedba... | [
0,
1,
2,
3
] |
from framework import *
from pebble_game import *
from constructive_pebble_game import *
from nose.tools import ok_
import numpy as np
# initialise the seed for reproducibility np.random.seed(102)
fw_2d = create_framework([0,1,2,3], [(0,1), (0,3), (1,2), (1,3), (2,3)], [(2,3), (4,4), (5,2), (1,1)])
# a 3d fw constric... | normal | {
"blob_id": "4e31619efcaf6eeab3b32116b21e71de8202aee2",
"index": 8646,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nok_(is_inf_rigid(fw_2d, 2))\nok_(not is_inf_rigid(fw_3d, 3))\nok_(is_inf_rigid(fw_1d, 1))\n<mask token>\nprint(len(rand_fw.nodes))\ndraw_framework(rand_fw)\n<mask token>\nprint(R)\nprint(... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def infer(sample):
return {'mean': np.mean(sample), 'std': np.std(sample)}
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def simulate_one_realisation():
return np.random.normal(1, 2, size=n_points)
def infer(sample):
return {'m... | flexible | {
"blob_id": "6e8ef901fc614ecbba25df01f84a43c429f25cf6",
"index": 4919,
"step-1": "<mask token>\n\n\ndef infer(sample):\n return {'mean': np.mean(sample), 'std': np.std(sample)}\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef simulate_one_realisation():\n return np.random.normal(1, 2, size=n_points... | [
1,
3,
4,
5,
6
] |
#!/usr/bin/python3
"""takes in a URL and an email address, sends a POST request to the passed
URL with the email as a parameter, and finally
displays the body of the response.
"""
import requests
import sys
if __name__ == "__main__":
url_arg = sys.argv[1]
email = sys.argv[2]
params = {'email': email}
... | normal | {
"blob_id": "0d9c50e55df5aa5614bd5a9679729cf7fa69c5df",
"index": 1461,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n url_arg = sys.argv[1]\n email = sys.argv[2]\n params = {'email': email}\n response = requests.post(url_arg, data=params)\n print(response.text)... | [
0,
1,
2,
3
] |
###############################################################################
# Programming Essentials B8IT102 Assessment #
# Student: Barry Sheppard ID: 10387786 #
# Problem 1 #
... | normal | {
"blob_id": "77e985d94d3b47539f046a3a46cb1a197cef86f4",
"index": 3409,
"step-1": "<mask token>\n\n\ndef CheckNumber(userInput):\n \"\"\" This function returns True if userInput can be converted to a number and\n returns False if it cannot. \"\"\"\n try:\n float(userInput)\n return True\n ... | [
2,
3,
4,
5,
6
] |
'''
Created on 27 Mar 2015
@author: Jon
'''
import matplotlib.pyplot as plt
from numerical_functions import Timer
import numerical_functions.numba_funcs.indexing as indexing
import numpy as np
import unittest
class Test(unittest.TestCase):
def test_take(self):
x = np.linspace( 0, 100 )
... | normal | {
"blob_id": "ee80169afd4741854eff8619822a857bbf757575",
"index": 291,
"step-1": "<mask token>\n\n\nclass Test(unittest.TestCase):\n <mask token>\n\n def test_take_comparison(self):\n x = np.arange(1000000.0)\n idx = np.random.random_integers(0, 100000.0, 1000000.0)\n indexing.take(x, i... | [
5,
7,
8,
11,
12
] |
import pygame
from pygame.locals import *
pygame.init()
ttt = pygame.display.set_mode((300,325)) #loome mänguakna
pygame.display.set_caption = ("Trips-Traps-Trull")
võitja = None
def init_tabel(ttt):
taust = pygame.Surface(ttt.get_size())
taust = taust.convert()
taust.fill((250,250,250))
#tõm... | normal | {
"blob_id": "a667c4cb0a30ee67fe982bb96ece6bb75f25f110",
"index": 7084,
"step-1": "<mask token>\n\n\ndef näita_tabelit(ttt, tabel):\n hetkeseis(tabel)\n ttt.blit(tabel, (0, 0))\n pygame.display.flip()\n\n\ndef hiire_positsioon_tabelis(Xkoordinaat, Ykoordinaat):\n if Ykoordinaat < 100:\n rida = ... | [
6,
7,
9,
10,
11
] |
import sys
if __name__ == '__main__':
cases = sys.stdin.readline()
for i in range(int(cases)):
sys.stdin.readline()
lineas, columnas = sys.stdin.readline().strip().split(" ")
lineas = int(lineas)
columnas = int(columnas)
list_lines = []
for linea in range(linea... | normal | {
"blob_id": "22909e41e4f9ad0280c22ec11ecfbccff87efae1",
"index": 1402,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n cases = sys.stdin.readline()\n for i in range(int(cases)):\n sys.stdin.readline()\n lineas, columnas = sys.stdin.readline().strip().split(... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
@routes.route('/signin', name='signin')
class SigninEndpoint(PoolHTTPEndpoint):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@back_to.setter
def back_to(self, value: typing.Optional[str]):
self.request.session['back_to'] = value
def render_templa... | flexible | {
"blob_id": "6e01e36170f3f08f2030dbd4dd91019936fb9f5c",
"index": 849,
"step-1": "<mask token>\n\n\n@routes.route('/signin', name='signin')\nclass SigninEndpoint(PoolHTTPEndpoint):\n <mask token>\n <mask token>\n\n @back_to.setter\n def back_to(self, value: typing.Optional[str]):\n self.request... | [
9,
13,
14,
19,
20
] |
<|reserved_special_token_0|>
class LoginForm(forms.Form):
username = forms.CharField(widget=forms.TextInput(attrs={'class':
'form-control'}))
password = forms.CharField(widget=forms.PasswordInput(attrs={'class':
'form-control'}))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
c... | flexible | {
"blob_id": "7644dcd956e1ad179f42e44870864386744c6cdf",
"index": 2553,
"step-1": "<mask token>\n\n\nclass LoginForm(forms.Form):\n username = forms.CharField(widget=forms.TextInput(attrs={'class':\n 'form-control'}))\n password = forms.CharField(widget=forms.PasswordInput(attrs={'class':\n 'f... | [
2,
3,
4,
5
] |
import csv
import json
from urllib import request
from urllib.error import HTTPError
from urllib.parse import urljoin, urlparse, quote_plus
from optparse import OptionParser
HEADER = ["id", "module", "channel", "type", "value", "datetime"]
def parse_options():
parser = OptionParser()
parser.add_option("-H", "... | normal | {
"blob_id": "b47f15a79f7a82304c2be6af00a5854ff0f6ad3e",
"index": 6987,
"step-1": "<mask token>\n\n\ndef write_csv(url, recursive=False, writer=None, token=''):\n response = fetch(url)\n if recursive:\n write_rows(writer, response)\n cursor = next_cursor(response)\n if cursor is not Non... | [
3,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class InviteAdmin(admin.ModelAdmin):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class InviteAdmin(admin.ModelAdmin):
list_display = ('invitee', 'inviter', 'created_on', 'approved',
'rejected', ... | flexible | {
"blob_id": "fcb13b087b9c967ab16b64885411cc4aae98583c",
"index": 2130,
"step-1": "<mask token>\n\n\nclass InviteAdmin(admin.ModelAdmin):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass InviteAdmin(admin.ModelAdmin):\n list_display = ('invitee', 'inviter', 'created_on', 'approved',... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='isc-dhcpd-parser', version='0.1', description=
'Parser for isc-dhcp config files (dhcpd.conf)', author=
'Pavel Podkorytov', author_email='pod.pavel@gmail.com', classifiers=[
'Development Status :: 3 - Alpha... | flexible | {
"blob_id": "79141679bb2839de9d4a25b6c6c285905dddbb0d",
"index": 6460,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='isc-dhcpd-parser', version='0.1', description=\n 'Parser for isc-dhcp config files (dhcpd.conf)', author=\n 'Pavel Podkorytov', author_email='pod.pavel@gmail.com', class... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class hrsalaryRule(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class hrsalaryRule(models.Model):
_inherit = 'hr.salary.rule'... | flexible | {
"blob_id": "097a87f7f1346e5db1599e59680232912348aef7",
"index": 311,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass hrsalaryRule(models.Model):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass hrsalaryRule(models.Model):\n _inherit = 'hr.salary.rule'\n is_tax_... | [
0,
1,
2,
3,
4
] |
from django import forms
class PasswordChangeForm(forms.Form):
password = forms.CharField(min_length=8,
label="New Password*",
strip=False,
widget=forms.PasswordInput(
attrs={'autocomple... | normal | {
"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|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='twqq', version=twqq.__version__, description=
'An asynchronous webqq client library based on tornado',
long_description=open('README.rst').read(), author='cold', author_email
='wh_linux@126.com', url='http:... | flexible | {
"blob_id": "9492142a569da1d21b1927e79d97f9cf6276efdc",
"index": 2800,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='twqq', version=twqq.__version__, description=\n 'An asynchronous webqq client library based on tornado',\n long_description=open('README.rst').read(), author='cold', aut... | [
0,
1,
2,
3,
4
] |
# coding: utf-8
# 2019/11/27 @ tongshiwei
import pytest
def test_api(env):
assert set(env.parameters.keys()) == {"knowledge_structure", "action_space", "learning_item_base"}
@pytest.mark.parametrize("n_step", [True, False])
def test_env(env, tmp_path, n_step):
from EduSim.Envs.KSS import kss_train_eval, KS... | normal | {
"blob_id": "b1ae3abb6decf4d70bc2372e70cf4f5b868e805d",
"index": 8756,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_api(env):\n assert set(env.parameters.keys()) == {'knowledge_structure',\n 'action_space', 'learning_item_base'}\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class EntryCreateView(CreateView):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class EntryUpdateView(UpdateView):
model = Entry
fields = ['title', 'content']
def get_success_url(self):
return reverse_lazy('entry... | flexible | {
"blob_id": "37c03732ae52171fc24aec85c940848b02d76dc1",
"index": 1176,
"step-1": "<mask token>\n\n\nclass EntryCreateView(CreateView):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass EntryUpdateView(UpdateView):\n model = Entry\n fields = ['title', 'content']\n\n def get_success_url(sel... | [
6,
7,
10,
11,
13
] |
from matplotlib import pyplot as plt
from read_and_calculate_speed import get_info_from_mongodb
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['font.family'] = 'sans-serif'
def mat_line(speed_time_info, interface, direction, last_time):
# 调节图形大小，宽，高
fig = plt.figure(figsize=(6, 6))
# 一共一行，每行一图... | normal | {
"blob_id": "0aa419b0045914b066fbec457c918d83276f2583",
"index": 3556,
"step-1": "<mask token>\n\n\ndef mat_line(speed_time_info, interface, direction, last_time):\n fig = plt.figure(figsize=(6, 6))\n ax = fig.add_subplot(111)\n import matplotlib.dates as mdate\n ax.xaxis.set_major_formatter(mdate.Da... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class LinkedinSearch:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def db_fetch(self, query):
self.collection.create_index([('name', 'text')])
lst = []
cursor = self.collection.find({'$text': {'$search': query}}, {
'score': {'$... | flexible | {
"blob_id": "3e8860c22ff3092304df57aa7f5dbcb6ccda7dd8",
"index": 5249,
"step-1": "<mask token>\n\n\nclass LinkedinSearch:\n <mask token>\n <mask token>\n\n def db_fetch(self, query):\n self.collection.create_index([('name', 'text')])\n lst = []\n cursor = self.collection.find({'$tex... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while True:
net = Net.FeedForwardNet(input_count=784, layers=[100, 10],
activation_function=Net.FeedForwardNet.leaky_relu)
try:
epoch_num = int(input('Epoch_num:'))
batch_size = int(input('Batch_siz... | flexible | {
"blob_id": "49005500b299ca276f663fe8431bb955e5585bbd",
"index": 335,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile True:\n net = Net.FeedForwardNet(input_count=784, layers=[100, 10],\n activation_function=Net.FeedForwardNet.leaky_relu)\n try:\n epoch_num = int(input('Epoch_num... | [
0,
1,
2,
3,
4
] |
from helper import *
tree_type = TREE_TYPE_SPLIT
file_name = ''
file_path = ''
split_scalars = {}
visited = {}
adjacency = {}
pairs = {}
index_map = {}
postorder_map = {}
preorder_map = {}
birth = {}
death = {}
string = ''
class Tree(object):
def __init__(self):
self.index = None
self.children = []
self.p... | normal | {
"blob_id": "4daab8b8db1e394e3132ab5550fe0236b67074d8",
"index": 5527,
"step-1": "from helper import *\n\ntree_type = TREE_TYPE_SPLIT\n\nfile_name = ''\nfile_path = ''\n\nsplit_scalars = {}\nvisited = {}\nadjacency = {}\npairs = {}\n\nindex_map = {}\npostorder_map = {}\npreorder_map = {}\n\nbirth = {}\ndeath = {... | [
0
] |
DEBUG = True
SQLALCHEMY_DATABASE_URI = "postgresql://username:password@IPOrDomain/databasename"
SQLALCHEMY_TRACK_MODIFICATIONS = True
DATABASE_CONNECT_OPTIONS = {}
THREADS_PER_PAGE = 2
| normal | {
"blob_id": "a1b0e72b62abc89d5292f199ec5b6193b544e271",
"index": 7813,
"step-1": "<mask token>\n",
"step-2": "DEBUG = True\nSQLALCHEMY_DATABASE_URI = (\n 'postgresql://username:password@IPOrDomain/databasename')\nSQLALCHEMY_TRACK_MODIFICATIONS = True\nDATABASE_CONNECT_OPTIONS = {}\nTHREADS_PER_PAGE = 2\n",
... | [
0,
1,
2
] |
#_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-#
# PROJECT : RegCEl - Registro para el Consumo Eléctrico #
# VERSION : 1.2 ... | normal | {
"blob_id": "7da8a074704b1851ac352477ef72a4c11cea1a0b",
"index": 6737,
"step-1": "<mask token>\n\n\nclass NumericKeyboard(Bubble):\n\n def on_touch_up(self, touch):\n app = App.get_running_app()\n if not self.collide_point(*touch.pos\n ) and not self.parent.collide_point(*touch.pos):\... | [
5,
9,
10,
11,
16
] |
import torch
import torch_scatter
import torchgraphs as tg
import textwrap
from . import autograd_tricks as lrp
def patch():
torch.add = lrp.add
torch.cat = lrp.cat
torch.index_select = lrp.index_select
tg.utils.repeat_tensor = lrp.repeat_tensor
torch_scatter.scatter_add = lrp.scatter_add
torc... | normal | {
"blob_id": "faafc7cfd900d3f6fd6df30af5580f71eecfb279",
"index": 8298,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef computational_graph(op):\n if op is None:\n return 'None'\n res = f'{op.__class__.__name__} at {hex(id(op))}:'\n if op.__class__.__name__ == 'AccumulateGrad':\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Controller:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class RandomController(Controller):
def __init__(self, env):
""" YOUR CODE HERE """
pass
def get_action(self, state):
""" YOUR CODE HERE """
""" Your code should... | flexible | {
"blob_id": "7112eb52aea9be6f8e682b4dacc6b615365c8cea",
"index": 7510,
"step-1": "<mask token>\n\n\nclass Controller:\n <mask token>\n <mask token>\n\n\nclass RandomController(Controller):\n\n def __init__(self, env):\n \"\"\" YOUR CODE HERE \"\"\"\n pass\n\n def get_action(self, state)... | [
8,
9,
10,
11,
12
] |
# Generated by Django 3.0.5 on 2020-05-12 13:26
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='idcard',
fields=[
('id', models.AutoField(a... | normal | {
"blob_id": "422873f89468b1faabed96f72f463b6294b85276",
"index": 5314,
"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|>
def gen_function(b=[0]):
a = 0
global carry_on
while (a < 100) & carry_on:
yield a
a = a + 1
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('in.txt', newline='') as raster:
dataset = csv.reader(raster, ... | flexible | {
"blob_id": "4ea266d4f4c18efbba4204d7301652f8966c18a5",
"index": 9724,
"step-1": "<mask token>\n\n\ndef gen_function(b=[0]):\n a = 0\n global carry_on\n while (a < 100) & carry_on:\n yield a\n a = a + 1\n\n\n<mask token>\n",
"step-2": "<mask token>\nwith open('in.txt', newline='') as ras... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
@pytest.fixture
def families_fixture():
ped_content = io.StringIO(convert_to_tab_separated(
"""
familyId personId dadId momId sex status role
f1 mom1 0 0 2 1 mom
f1 dad1 0 0 1 1 dad
... | flexible | {
"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
] |
#!/usr/bin/env python
import pathlib
from blastsight.view.viewer import Viewer
"""
In this demo, we'll show how you can create a basic animation.
An animation is interpreted as changing the state of the viewer one frame at the time.
That means we'll define a function that makes a change in one single frame.
The fun... | normal | {
"blob_id": "00be3d813ce4335ff9ea02ed9f1884d3210f3d5a",
"index": 3101,
"step-1": "<mask token>\n\n\ndef autorotate(angle):\n v.set_rotation_angle([0.0, -angle, 0.0])\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef autorotate(angle):\n v.set_rotation_angle([0.0, -angle, 0.0])\n\n\n<mask token>\nv.a... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-17 14:47
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('votes', '0003_choice_votes'),
]
operations = [
migrations.CreateModel(
... | normal | {
"blob_id": "781cb59fb9b6d22547fd4acf895457868342e125",
"index": 8290,
"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 = [('votes', '00... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def contact(request):
form_class = ContactForm
if request.method == 'POST':
form = form_class(data=request.POST)
if form.is_valid():
contact_name = request.POST.get('contact_name', '')
contact_email = request.POST.get('contact_email', '')
... | flexible | {
"blob_id": "26bb5dc2679a4375d0950667ed02369df10857a8",
"index": 8410,
"step-1": "<mask token>\n\n\ndef contact(request):\n form_class = ContactForm\n if request.method == 'POST':\n form = form_class(data=request.POST)\n if form.is_valid():\n contact_name = request.POST.get('contac... | [
7,
9,
11,
14,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def index_get(request, user_id, user, pto):
schedules = Schedule.to_calendar(Schedule.objects.filter(pto=pto))
context = pto.__dict__
context.update({'schedules': schedules, 'current_user': user})
return render(r... | flexible | {
"blob_id": "7245d4db6440d38b9302907a6203c1507c373112",
"index": 6970,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef index_get(request, user_id, user, pto):\n schedules = Schedule.to_calendar(Schedule.objects.filter(pto=pto))\n context = pto.__dict__\n context.update({'schedules': sched... | [
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
print('hello world')
print('lol')
print('new changes in vis')
<|reserved_special_token_1|>
print("hello world")
print("lol")
print("new changes in vis") | flexible | {
"blob_id": "6c88e55a76cbd84cee0ebd6c51d930cc2da100d2",
"index": 2945,
"step-1": "<mask token>\n",
"step-2": "print('hello world')\nprint('lol')\nprint('new changes in vis')\n",
"step-3": "print(\"hello world\")\nprint(\"lol\")\nprint(\"new changes in vis\")",
"step-4": null,
"step-5": null,
"step-ids"... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class LLKEventsBot(Bot):
<|reserved_special_token_0|>
async def on_ready(self):
if not os.path.exists('db'):
os.makedirs('db')
if not os.path.exists('logs'):
os.makedirs('logs')
print('\nLoading extensions...')
for extension... | flexible | {
"blob_id": "849343561dd9bdcfc1da66c604e1bfa4aa10ddf3",
"index": 5359,
"step-1": "<mask token>\n\n\nclass LLKEventsBot(Bot):\n <mask token>\n\n async def on_ready(self):\n if not os.path.exists('db'):\n os.makedirs('db')\n if not os.path.exists('logs'):\n os.makedirs('lo... | [
1,
2,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
driver.maximize_window()
driver.get('http://zero.webappsecurity.com/')
<|reserved_special_token_0|>
driver.find_element_by_xpath("(//a[contains(text(),'privacy')])[1]").click()
<|reserved_special_token_0|>
for window in windows:
... | flexible | {
"blob_id": "223413918ba2a49cd13a34026d39b17fb5944572",
"index": 5849,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.maximize_window()\ndriver.get('http://zero.webappsecurity.com/')\n<mask token>\ndriver.find_element_by_xpath(\"(//a[contains(text(),'privacy')])[1]\").click()\n<mask token>\nfor wi... | [
0,
1,
2,
3,
4
] |
import os
import pathlib
from global_settings import *
def get_bits(x):
return np.where(x < 0, 0, 1)
def check_wrong_bits(bits, bits_estimated):
return len(np.argwhere(bits != bits_estimated))
def mkdir(file_path):
folder = os.path.dirname(file_path)
if not os.path.exists(folder):
os.make... | normal | {
"blob_id": "74ffbd55867c4b2c6ccbef7d94e0c65aef139057",
"index": 7602,
"step-1": "<mask token>\n\n\ndef get_bits(x):\n return np.where(x < 0, 0, 1)\n\n\n<mask token>\n\n\ndef mkdir(file_path):\n folder = os.path.dirname(file_path)\n if not os.path.exists(folder):\n os.makedirs(folder)\n\n\n<mask ... | [
7,
9,
11,
13,
14
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def flask_adapter(request: any, api_route: Type[Route]) ->any:
"""Adapter pattern for Flask
:param - Flask Request
:api_route: Composite Routes
"""
try:
query_string_params = request.args.to_dict()
... | flexible | {
"blob_id": "3212bb7df990ad7d075b8ca49a99e1072eab2a90",
"index": 595,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef flask_adapter(request: any, api_route: Type[Route]) ->any:\n \"\"\"Adapter pattern for Flask\n :param - Flask Request\n :api_route: Composite Routes\n \"\"\"\n try:\... | [
0,
1,
2,
3
] |
"""
WINRM Module to connect to windows host
"""
from winrm.protocol import Protocol
from lib import logger
class WINRM(object):
"""
WINRM Module to connect to windows host
"""
def __init__(self, host_ip, usr, pwd):
"""
- **parameters**, **types**, **return** and **return t... | normal | {
"blob_id": "96ac9088650490a7da00c7a20f634b76e673ca2d",
"index": 1174,
"step-1": "<mask token>\n\n\nclass WINRM(object):\n <mask token>\n <mask token>\n\n def connect(self):\n \"\"\"\n Method to connect to a Windows machine.\n \"\"\"\n try:\n self.host_win_ip =... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
racine.title('listPhoto')
<|reserved_special_token_0|>
for index in range(0, len(dirImage)):
img = ImageCoord(cheminDossier + '\\' + dirImage[index])
if img.has_coord():
listImage.append(img)
listImage.sort()
<|r... | flexible | {
"blob_id": "f5b8d8c291d18c6f320704a89985acbcae97ca2f",
"index": 2954,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nracine.title('listPhoto')\n<mask token>\nfor index in range(0, len(dirImage)):\n img = ImageCoord(cheminDossier + '\\\\' + dirImage[index])\n if img.has_coord():\n listImage.... | [
0,
1,
2,
3,
4
] |
import math
import pandas as pd
from matplotlib import pyplot as plt
tests = [
{ "task": "listsort", "prompt": "examples", "length": 5, "shots": 0, "accuracy": 0.28, "trials": 50},
{ "task": "listsort", "prompt": "examples", "length": 5, "shots": 1, "accuracy": 0.40, "trials": 50},
{ "task": "listsort", "... | normal | {
"blob_id": "6b6397fd18848ffa2ae9c0ec1443d20f2cbeb8b0",
"index": 3637,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor d in tests:\n d['code'] = d['prompt'] == 'code'\n d['correct'] = d['accuracy'] * d['trials']\n p = d['accuracy']\n d['err'] = 0.842 * math.sqrt(p * (1 - p) / d['trials'])\... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Animation:
def __init__(self):
self.next_frame = pygame.time.get_ticks()
self.frame = 0
self.frame_time = 1000 // ANIMATION_RATE
<|reserved_special_token_0|>
<|reserved_special_token_1|>
... | flexible | {
"blob_id": "0b36bf9ac7887101be5503a0edce19e1111e5ca0",
"index": 6607,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Animation:\n\n def __init__(self):\n self.next_frame = pygame.time.get_ticks()\n self.frame = 0\n self.frame_time = 1000 // ANIMATION_RATE\n <mask tok... | [
0,
2,
3,
4,
5
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.