code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
import os
from flask import Flask, request, jsonify, Response, abort
from sesamutils import sesam_logger, VariablesConfig
from sesamutils.flask import serve
required_env_vars = ["SUBDOMAIN"]
optional_env_vars = ["DEBUG", "LOG_LEVEL", ("API_ROOT","zendesk.com/api/v2/tickets/")] # Default values can be given t... | normal | {
"blob_id": "bb58b4384eaeec45be1af865012c618af05f5a0a",
"index": 9667,
"step-1": "<mask token>\n\n\n@app.route('/api/orders/update/<int:orderID>', methods=['GET', 'PUT',\n 'POST', 'DELETE'])\ndef update_ticket(orderID):\n try:\n if request.method != 'PUT':\n abort(405)\n logger... | [
3,
4,
5,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
np.random.seed(0)
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description=
'Generate artificial videos with one subject in Casia-B')
parser.add_argument('--dataset', type=str, re... | flexible | {
"blob_id": "6b32f829648b92da4b638ffd79692ffb86be80fe",
"index": 8761,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nnp.random.seed(0)\nif __name__ == '__main__':\n import argparse\n parser = argparse.ArgumentParser(description=\n 'Generate artificial videos with one subject in Casia-B')\n ... | [
0,
1,
2,
3
] |
import os
import matplotlib.pyplot as plt
import cv2
import numpy as np
def divide_img(img_path, img_name, save_path):
imgg = img_path +'\\' +img_name
print(imgg)
img = cv2.imread(imgg)
print(img)
# img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
h = img.shape[0]
w = img.shape[1]
n = 8
... | normal | {
"blob_id": "03f3fcb38877570dea830a56460061bd3ccb8927",
"index": 8830,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef divide_img(img_path, img_name, save_path):\n imgg = img_path + '\\\\' + img_name\n print(imgg)\n img = cv2.imread(imgg)\n print(img)\n h = img.shape[0]\n w = img... | [
0,
1,
2,
3,
4
] |
# 使用celery
from django.conf import settings
from django.core.mail import send_mail
from django.template import loader,RequestContext
from celery import Celery
import time
# 在任务处理者一
#
# 端加的代码
import os
import django
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dailyfresh.settings")
django.setup()
from goods.models ... | normal | {
"blob_id": "7f7d087b7001cd7df01d4f22e056809be5a35568",
"index": 9584,
"step-1": "<mask token>\n\n\n@app.task\ndef generate_static_index_html():\n \"\"\"产生首页静态页面\"\"\"\n types = GoodsType.objects.all()\n goods_banners = IndexGoodsBanner.objects.all().order_by('index')\n promotion_banners = IndexPromo... | [
1,
2,
4,
5,
6
] |
<|reserved_special_token_0|>
class MockSOLR(object):
class MockHits(list):
@property
def hits(self):
return len(self)
@property
def docs(self):
return self
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>... | flexible | {
"blob_id": "4774c1f4eafc0132bab0073b60c4bcad6b69380d",
"index": 9068,
"step-1": "<mask token>\n\n\nclass MockSOLR(object):\n\n\n class MockHits(list):\n\n @property\n def hits(self):\n return len(self)\n\n @property\n def docs(self):\n return self\n <mask ... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if 'feira' in msg:
print('Sim, foi a feira')
else:
print('não ele não foi a feira')
<|reserved_special_token_1|>
msg = 'eduardo foi a feira'
if 'feira' in msg:
print('Sim, foi a feira')
else:
print('não ele não ... | flexible | {
"blob_id": "2a83bc9157e2210da46e58c56fc0b7199856f4c0",
"index": 6287,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif 'feira' in msg:\n print('Sim, foi a feira')\nelse:\n print('não ele não foi a feira')\n",
"step-3": "msg = 'eduardo foi a feira'\nif 'feira' in msg:\n print('Sim, foi a feir... | [
0,
1,
2,
3
] |
from django.shortcuts import render
from django.http import HttpResponse
# # Create your views here.
# def Login_Form(request):
# return render(request, 'Login.html') | normal | {
"blob_id": "ee161ff66a6fc651a03f725427c3731bdf4243eb",
"index": 6906,
"step-1": "<mask token>\n",
"step-2": "from django.shortcuts import render\nfrom django.http import HttpResponse\n",
"step-3": "from django.shortcuts import render\r\nfrom django.http import HttpResponse\r\n\r\n\r\n\r\n# # Create your vie... | [
0,
1,
2
] |
<|reserved_special_token_0|>
@app.get('/jobs/', response_model=List[schemas.Job])
def read_jobs(skip: int=0, limit: int=100, db: Session=Depends(get_db)):
jobs = crud.get_jobs(db, skip=skip, limit=limit)
return jobs
@app.get('/jobs/{job_id}', response_model=schemas.Job)
def read_job(job_id: int, db: Session... | flexible | {
"blob_id": "ad474f5120ca2a8c81b18071ab364e6d6cf9e653",
"index": 7031,
"step-1": "<mask token>\n\n\n@app.get('/jobs/', response_model=List[schemas.Job])\ndef read_jobs(skip: int=0, limit: int=100, db: Session=Depends(get_db)):\n jobs = crud.get_jobs(db, skip=skip, limit=limit)\n return jobs\n\n\n@app.get('... | [
6,
8,
10,
11,
13
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_user_agent():
return {'User-Agent': random.choice(user_agent)}
<|reserved_special_token_1|>
<|reserved_special_token_0|>
user_agent = [
'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534... | flexible | {
"blob_id": "5ed91b98ece3ac9525e9d2c42db9c9d9912d5ed2",
"index": 9029,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_user_agent():\n return {'User-Agent': random.choice(user_agent)}\n",
"step-3": "<mask token>\nuser_agent = [\n 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us... | [
0,
1,
2,
3,
4
] |
# SaveIsawQvector
import sys
import os
if os.path.exists("/opt/Mantid/bin"):
sys.path.append("/opt/mantidnightly/bin")
#sys.path.append("/opt/Mantid/bin") # Linux cluster
#sys.path.append('/opt/mantidunstable/bin')
else:
sys.path.append("C:/MantidInstall/bin") # Windows PC
# import ma... | normal | {
"blob_id": "b72bf00d156862c7bddecb396da3752be964ee66",
"index": 5463,
"step-1": "# SaveIsawQvector\r\n\r\nimport sys\nimport os\n\r\nif os.path.exists(\"/opt/Mantid/bin\"):\n sys.path.append(\"/opt/mantidnightly/bin\")\n #sys.path.append(\"/opt/Mantid/bin\") # Linux cluster\n #sys.path.append('... | [
0
] |
"""
This example shows how to communicate with a SH05 (shutter) connected to a KSC101 (KCube Solenoid).
"""
# this "if" statement is used so that Sphinx does not execute this script when the docs are being built
if __name__ == '__main__':
import os
import time
from msl.equipment import EquipmentRecord, Co... | normal | {
"blob_id": "04b5df5cfd052390f057c6f13b2e21d27bac6449",
"index": 943,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n import os\n import time\n from msl.equipment import EquipmentRecord, ConnectionRecord, Backend\n from msl.equipment.resources.thorlabs import Motio... | [
0,
1,
2
] |
# Generate some object patterns as save as JSON format
import json
import math
import random
from obstacle import *
def main(map):
obs = []
for x in range(1,35):
obs.append(Obstacle(random.randint(0,map.getHeight()), y=random.randint(0,map.getWidth()), radius=20).toJsonObject())
jsonOb={'map': {'obstacle': obs}}... | normal | {
"blob_id": "b849a2902c8596daa2c6da4de7b9d1c07b34d136",
"index": 7883,
"step-1": "# Generate some object patterns as save as JSON format\nimport json\nimport math\nimport random\nfrom obstacle import *\n\ndef main(map):\n\tobs = []\n\tfor x in range(1,35):\n\t\tobs.append(Obstacle(random.randint(0,map.getHeight(... | [
0
] |
'''
Module for interaction with database
'''
import sqlite3
from enum import Enum
DB_NAME = 'categories.db'
class State(Enum):
ok = True
error = False
def get_db_connection():
try:
global connection
connection = sqlite3.connect(DB_NAME)
cursor = connection.cursor()
exce... | normal | {
"blob_id": "9b3c2604b428295eda16030b45cf739e714f3d00",
"index": 1614,
"step-1": "<mask token>\n\n\nclass State(Enum):\n ok = True\n error = False\n\n\n<mask token>\n\n\ndef close_db_connection():\n try:\n connection.close()\n except Exception:\n print('Error closing connection')\n\n\nd... | [
7,
8,
10,
11,
12
] |
from math import exp
from math import e
import numpy as np
import decimal
import pandas as pd
pop = []
x = 0
for a in range(1,10001):
pop.append((1.2)*e**(-1.2*x))
x =+0.0001
for k in range(100,10100,100):
exec(f'S{k} =pop[1:k]')
################################################... | normal | {
"blob_id": "adfdd988b7e208229f195308df8d63fd2799046f",
"index": 8941,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor a in range(1, 10001):\n pop.append(1.2 * e ** (-1.2 * x))\n x = +0.0001\nfor k in range(100, 10100, 100):\n exec(f'S{k} =pop[1:k]')\n<mask token>\nfor size in np.arange(100, ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def main():
total_count = 0
valid_count = 0
with open(options['INPUT'], 'rb') as fh:
reader = MARCReader(fh, to_unicode=True, force_utf8=True)
if not options['--csv']:
writer = MARCWriter(open('out.mrc' or options['--output'], 'wb'))
for... | flexible | {
"blob_id": "c6cce2edafd7683af766b932d90ca170359e648a",
"index": 679,
"step-1": "<mask token>\n\n\ndef main():\n total_count = 0\n valid_count = 0\n with open(options['INPUT'], 'rb') as fh:\n reader = MARCReader(fh, to_unicode=True, force_utf8=True)\n if not options['--csv']:\n ... | [
1,
2,
3,
5,
6
] |
<|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": "ef57f0dfea261f022ced36ef9e27a07d63c21026",
"index": 2156,
"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 = [('eCom', '001... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Other_Operations_Stack(Stack):
def min_value(self):
min_value = self.peek()
for value in self._data:
if value < min_value:
min_value = value
self.pop()
return min_value
<|reserved_special_token_0|>
<|reserv... | flexible | {
"blob_id": "0b2fd671b99b7012a14b132db2322318873b826c",
"index": 1345,
"step-1": "<mask token>\n\n\nclass Other_Operations_Stack(Stack):\n\n def min_value(self):\n min_value = self.peek()\n for value in self._data:\n if value < min_value:\n min_value = value\n ... | [
2,
3,
4,
5,
6
] |
import random
import numpy as np
class Board:
def __init__(self, nrows, ncols, random_seed=42):
self.nrows = nrows
self.ncols = ncols
self.random = random.Random()
self.random.seed(random_seed)
self.board = np.zeros((nrows, ncols))
self.score = 0
self.__add_new_numbers()
# Initialize with 1/8 of the ... | normal | {
"blob_id": "cab45a823e319bd504b3db68cf70bff315f44fc6",
"index": 7462,
"step-1": "<mask token>\n\n\nclass Board:\n\n def __init__(self, nrows, ncols, random_seed=42):\n self.nrows = nrows\n self.ncols = ncols\n self.random = random.Random()\n self.random.seed(random_seed)\n ... | [
10,
12,
13,
14,
16
] |
from random import randint
in_file = open("vocabulary.txt", "r")
voca_dic = {}
for line in in_file:
data = line.strip().split(": ")
eng_word = data[0]
kor_word = data[1]
voca_dic[eng_word] = kor_word
while True:
keys = list(voca_dic.keys())
index = randint(1, len(keys) - 1)
input_val ... | normal | {
"blob_id": "be64c981e7ea70dfcbd840988a633b4a71a43783",
"index": 9814,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in in_file:\n data = line.strip().split(': ')\n eng_word = data[0]\n kor_word = data[1]\n voca_dic[eng_word] = kor_word\nwhile True:\n keys = list(voca_dic.keys())... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def upgrade():
op.execute(' '.join([update.format('false'), where]))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def upgrade():
op.execute(' '.join([update.format('false'), where]))
def downgrade():
op.execute(' '.join([updat... | flexible | {
"blob_id": "89ed30411c624e3d930db0bc0b5b716a10908727",
"index": 8259,
"step-1": "<mask token>\n\n\ndef upgrade():\n op.execute(' '.join([update.format('false'), where]))\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef upgrade():\n op.execute(' '.join([update.format('false'), where]))\n\n\ndef dow... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
x *= 2
<|reserved_special_token_0|>
<|reserved_special_token_1|>
#!/usr/bin/env python
x *= 2
"""run = 0
while(run < 10):
[TAB]x = (first number in sequence)
[TAB](your code here)
[TAB]run += 1"""
| flexible | {
"blob_id": "3e84265b7c88fc45bc89868c4339fe37dcc7d738",
"index": 1112,
"step-1": "<mask token>\n",
"step-2": "x *= 2\n<mask token>\n",
"step-3": "#!/usr/bin/env python\r\n\r\nx *= 2\r\n\r\n\"\"\"run = 0\r\nwhile(run < 10):\r\n[TAB]x = (first number in sequence)\r\n[TAB](your code here)\r\n[TAB]run += 1\"\"\"... | [
0,
1,
2
] |
from django.db import models
from django.contrib.auth.models import User
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.core.mail import EmailMultiAlternatives
from django.template import loader
from django.conf import settings
from django.contrib.sites.shortcuts import ... | normal | {
"blob_id": "de77edaccdaada785f41828135ad2da4ae2b403e",
"index": 725,
"step-1": "<mask token>\n\n\nclass Post(models.Model):\n blog = models.ForeignKey(Blog, on_delete=models.DO_NOTHING)\n user = models.ForeignKey(User, on_delete=models.CASCADE)\n header = models.CharField(max_length=50)\n text = mod... | [
6,
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] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
setup(name='greeker', version='0.3.2-git', description=
'scrambles nouns in an XML document to produce a specimen for layout testing'
, author='Brian Tingle', author_email=
'brian.tingle.cdlib.org@gmail.com', url=
... | flexible | {
"blob_id": "1fda8274024bdf74e7fbd4ac4a27d6cfe6032a13",
"index": 9790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='greeker', version='0.3.2-git', description=\n 'scrambles nouns in an XML document to produce a specimen for layout testing'\n , author='Brian Tingle', author_email=\n ... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
region = 'us-east-2'
ec2 = boto3.resource('ec2', region)
ImageId = 'ami-07efac79022b86107'
KeyName = 'aws_keypair'
InstanceType = 't2.micro'
instances = ec2.create_instances(ImageId=ImageId, MinCount=1, MaxCount=5,
KeyName=Key... | flexible | {
"blob_id": "b7606befe123c4fb6840a1bc62e43e6721edfcc3",
"index": 5005,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nregion = 'us-east-2'\nec2 = boto3.resource('ec2', region)\nImageId = 'ami-07efac79022b86107'\nKeyName = 'aws_keypair'\nInstanceType = 't2.micro'\ninstances = ec2.create_instances(ImageId=... | [
0,
1,
2,
3
] |
<|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": "156203042ed8a9bde0e9d8587ea3d37de6bcfdf7",
"index": 5155,
"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 = [('sub_adjuste... | [
0,
1,
2,
3,
4
] |
import requests
from lxml import html
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.90 Safari/537.36'}
mail_ru_link = "http://mail.ru"
lenta_link = "https://lenta.ru/"
req = requests.get(mail_ru_link, headers=headers).text
root = html.... | normal | {
"blob_id": "00d2a29774a4278b1b022571b3f16c88224f08fc",
"index": 5207,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif len(links) > 0:\n for i, l in enumerate(links):\n article = {'link': l, 'title': titles[i], 'source': mail_ru_link}\n news.append(article)\nelse:\n print('Error')\n... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def item(request):
if not request.session.get('is_login', None):
return redirect('/item/item')
else:
item_list = Item.objects.all()
return render(request, 'item/item.html', locals())
<|reserved_special_token_0|>
def add_unit(request):
if request.met... | flexible | {
"blob_id": "22b2ebdbb48caa593bece030d238089a0aa27053",
"index": 1983,
"step-1": "<mask token>\n\n\ndef item(request):\n if not request.session.get('is_login', None):\n return redirect('/item/item')\n else:\n item_list = Item.objects.all()\n return render(request, 'item/item.html', loc... | [
4,
5,
6,
8,
11
] |
<|reserved_special_token_0|>
def displayEmployees():
fh = open('Employee.txt', 'r')
for line in fh:
emp = line.split(',')
print('\nEmployee No:', emp[0], '\nEmployee Name:', emp[1],
'\nBasic:', emp[2], '\nHRA:', emp[3], '\nDA:', emp[4],
'\nGross Salary:', emp[5], '\nInc... | flexible | {
"blob_id": "5b6241907cc97f82d6c6e0a461f4f71a9a567204",
"index": 5395,
"step-1": "<mask token>\n\n\ndef displayEmployees():\n fh = open('Employee.txt', 'r')\n for line in fh:\n emp = line.split(',')\n print('\\nEmployee No:', emp[0], '\\nEmployee Name:', emp[1],\n '\\nBasic:', emp[... | [
3,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
class Connector:
<|reserved_special_token_0|>
@abc.abstractmethod
def save(self, item):
pass
@abc.abstractmethod
def load_all(self):
pass
@abc.abstractmethod
def load_by_id(self, id):
pass
<|reserved_special_token_0|>
<|reserv... | flexible | {
"blob_id": "ac46aa6f8f4f01b6f3c48532533b9dd41a8a1c1c",
"index": 7007,
"step-1": "<mask token>\n\n\nclass Connector:\n <mask token>\n\n @abc.abstractmethod\n def save(self, item):\n pass\n\n @abc.abstractmethod\n def load_all(self):\n pass\n\n @abc.abstractmethod\n def load_by_... | [
4,
5,
7,
8,
10
] |
<|reserved_special_token_0|>
class UserData(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
verbose_name = 'Данные пользователя... | flexible | {
"blob_id": "8f57e120a1a84eb0b9918128580c152aabc6a724",
"index": 6778,
"step-1": "<mask token>\n\n\nclass UserData(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name = 'Данные пользователя'\n ... | [
4,
5,
6,
7,
8
] |
#!/usr/bin/env python3
import argparse
import os
import sys,shutil
from shutil import make_archive
import pathlib
from phpManager import execute,execute_outputfile
from datetime import date,datetime
import re
import pymysql
import tarfile
def append_log(log,message):
f = open(log, "a+")
today = datetime.now()... | normal | {
"blob_id": "e09af436f2fb37d16427aa0b1416d6f2d59ad6c4",
"index": 214,
"step-1": "<mask token>\n\n\ndef append_log(log, message):\n f = open(log, 'a+')\n today = datetime.now()\n f.write('%s %s \\n' % (today.strftime('%Y-%m-%d %H:%M:%S'), message))\n f.close()\n\n\ndef get_root_pass():\n with open(... | [
10,
11,
13,
14,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
try:
r = sr.Recognizer()
with sr.Microphone() as source:
system('clear')
print(color(BOLD + 'Hola!\nAsk me anything.' + END, 'green'))
while True:
audio = r.listen(source)
tr... | flexible | {
"blob_id": "d3e728bda85d2e72b8e477ab439d4dcffa23d63a",
"index": 5448,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n r = sr.Recognizer()\n with sr.Microphone() as source:\n system('clear')\n print(color(BOLD + 'Hola!\\nAsk me anything.' + END, 'green'))\n while True:\n ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def slope_distance(baseElev, elv2, dist_betwn_baseElev_elv2, projectedDistance
):
import math
numer = elv2 - baseElev
denom = dist_betwn_baseElev_elv2
print(numer, denom)
distance = math.sqrt(numer ** 2 + denom ** 2)
if denom == 0:... | flexible | {
"blob_id": "65b30bbe737b331447235b5c640e9c3f7f6d6f8c",
"index": 5851,
"step-1": "<mask token>\n",
"step-2": "def slope_distance(baseElev, elv2, dist_betwn_baseElev_elv2, projectedDistance\n ):\n import math\n numer = elv2 - baseElev\n denom = dist_betwn_baseElev_elv2\n print(numer, denom)\n ... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TreeNode:
<|reserved_special_token_0|>
class Solution:
def isSymmetric(self, root: TreeNode) ->bool:
if not root:
return True
queue ... | flexible | {
"blob_id": "24a4b9246a9b15334bebc45c532a25bd81266918",
"index": 9650,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TreeNode:\n <mask token>\n\n\nclass Solution:\n\n def isSymmetric(self, root: TreeNode) ->bool:\n if not root:\n r... | [
1,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class CutoffStrategy:
<|reserved_special_token_0|>
def __init__(self, generate_fn, description='undescribed cutoff strategy'):
self.generate_fn = generate_fn
self.description = description
class FixWindowCutoffStrategy(CutoffStrategy):
def __init__(self, en... | flexible | {
"blob_id": "30f030d48368e1b103f926ee7a15b4b75c4459c7",
"index": 7030,
"step-1": "<mask token>\n\n\nclass CutoffStrategy:\n <mask token>\n\n def __init__(self, generate_fn, description='undescribed cutoff strategy'):\n self.generate_fn = generate_fn\n self.description = description\n\n\nclass... | [
5,
6,
7,
8,
9
] |
import xml.parsers.expat
import urllib2
import threading
def check_url(checkurl, checkstring, checkname):
try:
opener = urllib2.urlopen(checkurl, timeout = 5)
if checkstring[0] == "!":
if checkstring.encode('utf-8')[1:] not in opener.read():
print "Open",checkname
else:
#print "... | normal | {
"blob_id": "9d3d7000ed13a2623a53705d55b5dbb42662ce2f",
"index": 4296,
"step-1": "import xml.parsers.expat\nimport urllib2\nimport threading\n\n\n\ndef check_url(checkurl, checkstring, checkname):\n try:\n opener = urllib2.urlopen(checkurl, timeout = 5)\n if checkstring[0] == \"!\":\n if checkstring.... | [
0
] |
<|reserved_special_token_0|>
class TabPaneRepartitor(editor.PaneRepartitor):
def __init__(self, instance_editor, tab_edited_class):
self.instance_editor = ...
self.tab_edited_class = ...
def is_displayed_in_other_tab(self, attribute, o_Class):
...
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "440c116327ee587b5a305953772523011ece5dda",
"index": 9641,
"step-1": "<mask token>\n\n\nclass TabPaneRepartitor(editor.PaneRepartitor):\n\n def __init__(self, instance_editor, tab_edited_class):\n self.instance_editor = ...\n self.tab_edited_class = ...\n\n def is_displayed_in_oth... | [
13,
16,
20,
23,
25
] |
from tqdm import tqdm
import os
import pandas as pd
import pickle
import numpy as np
def inv_list(l, start=0):
d = {}
for i in range(len(l)):
d[l[i]] = i+start
return d
raw_data_path = '/home/reddy/sindhu/datasets/physionet_2012/'
def read_dataset(d):
ts = []
pbar = tqdm(os.listdir(raw_dat... | normal | {
"blob_id": "3e07a2a2d0a810c016720fa41d71d0771cbccfef",
"index": 626,
"step-1": "<mask token>\n\n\ndef inv_list(l, start=0):\n d = {}\n for i in range(len(l)):\n d[l[i]] = i + start\n return d\n\n\n<mask token>\n\n\ndef read_dataset(d):\n ts = []\n pbar = tqdm(os.listdir(raw_data_path + '/s... | [
2,
3,
4,
5,
6
] |
from unittest.case import TestCase
from datetime import datetime
from src.main.domain.Cohort import Cohort
from src.main.domain.Group import Group
from src.main.util.TimeFormatter import TimeFormatter
__author__ = 'continueing'
class CohortTest(TestCase):
def testAnalyzeNewGroups(self):
cohort = Cohort(... | normal | {
"blob_id": "f12bdfc054e62dc244a95daad9682790c880f20d",
"index": 5367,
"step-1": "<mask token>\n\n\nclass CohortTest(TestCase):\n\n def testAnalyzeNewGroups(self):\n cohort = Cohort(aStartDate=TimeFormatter.toDatetime(\n '2014-05-05 00:00:00'), aEndDate=TimeFormatter.toDatetime(\n ... | [
2,
3,
4,
5,
6
] |
# Generated by Django 3.0.8 on 2021-03-25 13:47
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('Asha', '0005_baby'),
]
operations = [
migrations.AlterField(
model_name='baby',
... | normal | {
"blob_id": "e14b8d0f85042ceda955022bee08b3b3b4c2361d",
"index": 7367,
"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 = [('Asha', '000... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@six.add_metaclass(abc.ABCMeta)
class Hal:
def __init__(self, configpath):
self.configpath = configpath
dir_path = os.path.join(os.path.dirname(__file__), 'libraries')
lib_files = [f for f in os.listdir(dir_path) if os.path.isfile(os.
path.join(dir... | flexible | {
"blob_id": "81dec10686b521dc9400a209caabc1601efd2a88",
"index": 540,
"step-1": "<mask token>\n\n\n@six.add_metaclass(abc.ABCMeta)\nclass Hal:\n\n def __init__(self, configpath):\n self.configpath = configpath\n dir_path = os.path.join(os.path.dirname(__file__), 'libraries')\n lib_files =... | [
3,
5,
6,
8,
9
] |
HORIZONTAL_TABLE = b'\x09'
class ReagentInfoItem():
'''
This class if defined for a single reagent info unit, from the table's view, its a cell of the table.
'''
def __init__(self, reagent_name, reagent_count):
self.reagent_name = reagent_name
self.reagent_count = reagent_count
de... | normal | {
"blob_id": "994210b3de82af02ec7b1b7bee75ceb88ffb2bd5",
"index": 2491,
"step-1": "\nHORIZONTAL_TABLE = b'\\x09'\n\nclass ReagentInfoItem():\n '''\n This class if defined for a single reagent info unit, from the table's view, its a cell of the table.\n '''\n def __init__(self, reagent_name, reagent_co... | [
0
] |
<|reserved_special_token_0|>
class HandleConfig(ConfigParser):
def __init__(self, ini_file_neme):
super().__init__()
self.ini_file_neme = ini_file_neme
def red_conf__(self):
file_path = os.path.join(conf_dir, self.ini_file_neme)
self.read(file_path, encoding='utf-8')
<|rese... | flexible | {
"blob_id": "01e60123ad87d9ff49812fe3a6f5d55bc85921c5",
"index": 4071,
"step-1": "<mask token>\n\n\nclass HandleConfig(ConfigParser):\n\n def __init__(self, ini_file_neme):\n super().__init__()\n self.ini_file_neme = ini_file_neme\n\n def red_conf__(self):\n file_path = os.path.join(co... | [
3,
4,
5,
6,
7
] |
from django.apps import AppConfig
class SmashbotspainConfig(AppConfig):
name = 'smashbotspain'
| normal | {
"blob_id": "e714755d660ba809f7958cad4f0b9f95b0a0ffdc",
"index": 9320,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass SmashbotspainConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass SmashbotspainConfig(AppConfig):\n name = 'smashbotspain'\n",
"step-4": "from djan... | [
0,
1,
2,
3
] |
#
#
#
# ------------------------------------------------------------------------------------------------------------------------------
#
# This program have been developed by Hamed Noori and with citiation of the related publicaitons
# can be used without permission.
# This program is for a novel architecture f... | normal | {
"blob_id": "4775bef3623497e9bbe79ca2d4e9e9da0422c450",
"index": 401,
"step-1": "<mask token>\n",
"step-2": "def start_simulation(sumo, scenario, network, begin, end, interval, output):\n logging.debug('Finding unused port')\n unused_port_lock = UnusedPortLock()\n unused_port_lock.__enter__()\n rem... | [
0,
1,
2
] |
import base64
import bleach
import errno
import fcntl
import gzip
import hashlib
import importlib
import inspect
import magic
import mimetypes
import morepath
import operator
import os.path
import re
import shutil
import sqlalchemy
import urllib.request
from markupsafe import Markup
from collections.abc import Iterabl... | normal | {
"blob_id": "084c9ad83091f6f96d19c0f0c28520ccda93bbaf",
"index": 7778,
"step-1": "<mask token>\n\n\ndef normalize_for_url(text: str) ->str:\n \"\"\" Takes the given text and makes it fit to be used for an url.\n\n That means replacing spaces and other unwanted characters with '-',\n lowercasing everythi... | [
35,
38,
46,
49,
61
] |
from django.shortcuts import get_object_or_404
from rest_framework import generics
from .models import Duck
from .serializers import Duck_Serializer
class DuckList(generics.ListCreateAPIView):
queryset = Duck.objects.all()
serializer_class = Duck_Serializer
def get_object(self):
queryset = self.get_queryset()
... | normal | {
"blob_id": "8334478c8b7fc7688477cdb837467e00e857c07c",
"index": 1196,
"step-1": "<mask token>\n\n\nclass DuckList(generics.ListCreateAPIView):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DuckList(generics.ListCreateAPIView):\n <mask token>\n <mask token>\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class Answer:
"""
Wrapper for A_B_X directory containing all associated attributes.
Populate all fields of the class and call grade to determine if the
question was correct
**user_answers
user_answer either "A" or "B" indicating which file sounded... | flexible | {
"blob_id": "c6ef9154285dee3b21980801a101ad5e34a50cab",
"index": 4656,
"step-1": "<mask token>\n\n\nclass Answer:\n \"\"\"\n Wrapper for A_B_X directory containing all associated attributes. \n Populate all fields of the class and call grade to determine if the \n question was correct\n **user_ans... | [
4,
10,
11,
13,
15
] |
<|reserved_special_token_0|>
class Cart:
def __init__(self):
self.book_list = []
self.total = 0
self.save = 0
def total_price(self):
ele = 0
for i in self.book_list:
ele += i.book.book_dprice * i.amount
self.total = round(ele, 2)
return sel... | flexible | {
"blob_id": "58efaad41d02bb5dffbf71c478c7fad12af68e5b",
"index": 9900,
"step-1": "<mask token>\n\n\nclass Cart:\n\n def __init__(self):\n self.book_list = []\n self.total = 0\n self.save = 0\n\n def total_price(self):\n ele = 0\n for i in self.book_list:\n ele ... | [
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class CustomRegistrationBackend(object):
<|reserved_special_token_0|>
def activate(self, request, activation_key):
activated = RegistrationProfile.objects.activate_user(activation_key)
if activated:
signals.user_activated.send(sender=self.__class__, us... | flexible | {
"blob_id": "201279c0cba2d52b6863204bfadb6291a0065f60",
"index": 3961,
"step-1": "<mask token>\n\n\nclass CustomRegistrationBackend(object):\n <mask token>\n\n def activate(self, request, activation_key):\n activated = RegistrationProfile.objects.activate_user(activation_key)\n if activated:\... | [
5,
6,
7,
8,
9
] |
a = 1
b = a
print(a)
print(b)
a = 2
print(a)
print(b)
# 全部大写字符代表常量
USER_NAME = "常量"
print(USER_NAME)
print(USER_NAME) | normal | {
"blob_id": "1cc9a7bbe1bda06ce76fa8ec1cdc17c7b2fde73b",
"index": 4051,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(a)\nprint(b)\n<mask token>\nprint(a)\nprint(b)\n<mask token>\nprint(USER_NAME)\nprint(USER_NAME)\n",
"step-3": "a = 1\nb = a\nprint(a)\nprint(b)\na = 2\nprint(a)\nprint(b)\nUSER_N... | [
0,
1,
2,
3
] |
from flask_wtf import FlaskForm
from wtforms import (
StringField, TextAreaField, PasswordField, HiddenField)
from wtforms.fields.html5 import URLField, EmailField
from flask_wtf.file import FileField
from wtforms.validators import (
InputRequired, Length, Email,
Optional, URL, ValidationError, Regexp)
from... | normal | {
"blob_id": "47b2857ac20e46897cc1f64371868ce5174799d6",
"index": 4790,
"step-1": "<mask token>\n\n\nclass AddReportForm(ReportBaseForm):\n \"\"\"Form for adding new report.\"\"\"\n pass\n\n\nclass EditReportForm(ReportBaseForm):\n \"\"\"Form for editing a report.\"\"\"\n cleared_file = HiddenField('c... | [
5,
14,
20,
22,
24
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def pop(i):
loc = i
sentencesTrial = []
File = open('words.txt')
lines = File.read()
sentences = nltk.sent_tokenize(lines)
locations = ['Castle', 'Beach', 'Beach', 'Ghost Town', 'Ghost Town',
'Hau... | flexible | {
"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
] |
try:
fh = open("testfile","w")
fh.write("test")
except IOError:
print("Error:没有找到文件")
else:
print("sucess")
fh.close()
| normal | {
"blob_id": "15e0b396a4726f98ce5ae2620338d7d48985707e",
"index": 9533,
"step-1": "<mask token>\n",
"step-2": "try:\n fh = open('testfile', 'w')\n fh.write('test')\nexcept IOError:\n print('Error:没有找到文件')\nelse:\n print('sucess')\n fh.close()\n",
"step-3": "try:\r\n\tfh = open(\"testfile\",\"w\... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class BaseProperty(object):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def set(self, obj, value):
"""Set property value on object.
:param obj: Item
:type obj: byte.model.Model
:param value: Value
:type value: any
... | flexible | {
"blob_id": "382f7119beba81087c497baf170eb6814c26c03e",
"index": 5458,
"step-1": "<mask token>\n\n\nclass BaseProperty(object):\n <mask token>\n <mask token>\n\n def set(self, obj, value):\n \"\"\"Set property value on object.\n\n :param obj: Item\n :type obj: byte.model.Model\n\n ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def base_model():
input_shape = 1, HM_SLICES, IMG_PX_SIZE, IMG_PX_SIZE
inputs = Input(shape=input_shape)
conv1 = Convolution3D(32, 5, 5, 5, activation='relu')(inputs)
drop1 = Dropout(0.2)(conv1)
conv2 = Convolution3D(32, 5, 5, 5, activation='relu')(drop1)
pool1 = M... | flexible | {
"blob_id": "e3d886dedaf5b120392d0dc81c4c71398f08f8d6",
"index": 8234,
"step-1": "<mask token>\n\n\ndef base_model():\n input_shape = 1, HM_SLICES, IMG_PX_SIZE, IMG_PX_SIZE\n inputs = Input(shape=input_shape)\n conv1 = Convolution3D(32, 5, 5, 5, activation='relu')(inputs)\n drop1 = Dropout(0.2)(conv1... | [
1,
2,
3,
4,
5
] |
from conans import ConanFile, CMake, tools
import os
class Demo(ConanFile):
name = "Demo"
version = "0.1"
license = "<Put the package license here>"
url = "<Package recipe repository url here, for issues about the package>"
description = "<Description of Testlib here>"
settings = "os", "compile... | normal | {
"blob_id": "c9bc331f4805a956146619c59d183fc3bcbe47cb",
"index": 9728,
"step-1": "<mask token>\n\n\nclass Demo(ConanFile):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask... | [
3,
4,
5,
6,
8
] |
<|reserved_special_token_0|>
class Car:
<|reserved_special_token_0|>
def activate(self):
self.deactivate()
self.pi.write(self.STBY, 1)
<|reserved_special_token_0|>
def setDrive(self, direction, dutycycle=100):
dc = int(255.0 / 100.0 * dutycycle)
if direction == 1:
... | flexible | {
"blob_id": "5b9f1b3ca4b50a4e9e8bd6715e73c62b4f778929",
"index": 1594,
"step-1": "<mask token>\n\n\nclass Car:\n <mask token>\n\n def activate(self):\n self.deactivate()\n self.pi.write(self.STBY, 1)\n <mask token>\n\n def setDrive(self, direction, dutycycle=100):\n dc = int(255.... | [
4,
6,
7,
8,
10
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for month in months:
print('The next month is:\t' + month)
print('\n')
print("""
End of program
""")
<|reserved_special_token_1|>
months = ['january', 'fabruary', 'march', 'april', 'may', 'june', 'july',
'august', '... | flexible | {
"blob_id": "bc8bc5c3b6954302d005fe618827c644f93ad14e",
"index": 6030,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor month in months:\n print('The next month is:\\t' + month)\n print('\\n')\nprint(\"\"\"\nEnd of program\n\"\"\")\n",
"step-3": "months = ['january', 'fabruary', 'march', 'april... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def factorial(n):
"""returns n!"""
return 1 if n < 2 else n * factorial(n - 1)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def factorial(n):
"""returns n!"""
return 1 if n < 2 else n * factorial(n - 1)
<|reserved_special_t... | flexible | {
"blob_id": "4411c81351ac76d72512faaa6b498cd577815691",
"index": 2572,
"step-1": "<mask token>\n",
"step-2": "def factorial(n):\n \"\"\"returns n!\"\"\"\n return 1 if n < 2 else n * factorial(n - 1)\n\n\n<mask token>\n",
"step-3": "def factorial(n):\n \"\"\"returns n!\"\"\"\n return 1 if n < 2 el... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Test(unittest.TestCase):
def setUp(self):
"""Before each test, set up a blank database"""
self.app = create_app('configmodule.TestingConfig')
self.app.testing = True
self.client = self.app.test_client()
with self.app.app_context():
... | flexible | {
"blob_id": "56b4262e88793be366d8ffe0fe4427fdb2a99bd7",
"index": 7447,
"step-1": "<mask token>\n\n\nclass Test(unittest.TestCase):\n\n def setUp(self):\n \"\"\"Before each test, set up a blank database\"\"\"\n self.app = create_app('configmodule.TestingConfig')\n self.app.testing = True\n... | [
4,
5,
6,
7,
8
] |
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 13 14:52:03 2018
@author: mayn
"""
import matplotlib.pyplot as plt
import DNA_Object
import json
def draw_area(dna, room):
area_center, area = DNA_Object.get_room_area(room)
plt.plot(area['x'], area['y'], linewidth='0.5', color='k',)
plt.xlim((-15000, 20000... | normal | {
"blob_id": "089bdd6d68a69aff6f3c11f7f5ffb75aed73cd24",
"index": 131,
"step-1": "<mask token>\n\n\ndef draw_area(dna, room):\n area_center, area = DNA_Object.get_room_area(room)\n plt.plot(area['x'], area['y'], linewidth='0.5', color='k')\n plt.xlim((-15000, 20000))\n plt.ylim((-15000, 20000))\n t... | [
7,
9,
11,
12,
13
] |
# -*- coding: utf-8 -*-
"""
Editor de Spyder
Este es un archivo temporal.
"""
def largo (l, n):
i=0
cuenta=1
valor1=0
valor2=0
while cuenta < n+1 or cuenta==n+1:
a=l[i]
b=l[i+1]
if a==b:
cuenta+= 1
valor1=a
i+=1
cuenta=1
while cuenta ... | normal | {
"blob_id": "f3b697e20f60e51d80d655ddf4809aa9afdfcd69",
"index": 7495,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef largo(l, n):\n i = 0\n cuenta = 1\n valor1 = 0\n valor2 = 0\n while cuenta < n + 1 or cuenta == n + 1:\n a = l[i]\n b = l[i + 1]\n if a == b:\n... | [
0,
1,
2,
3,
4
] |
from django.urls import path,include
from . import views
urlpatterns = [
path('register_curier/',views.curier_register,name="register_curier"),
path('private_сurier/',views.private_сurier,name="private_сurier"),
path('private_сurier2/',views.private_сurier2,name="private_сurier2"),
path('private_curier... | normal | {
"blob_id": "c1a83c9551e83e395a365210a99330fee7877dff",
"index": 6881,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('register_curier/', views.curier_register, name=\n 'register_curier'), path('private_сurier/', views.private_сurier, name=\n 'private_сurier'), path('private_сur... | [
0,
1,
2,
3
] |
#coding:utf-8
#base string opeate
#rstrip()删除字符串末尾被指定的字符，默认是空格，如末尾有多个相同的字符，则一并删除
str1="djcc"
str2="adcd"
print("this's rstrip() function---------")
print(str1.rstrip("c"))
print(str1.rstrip("d"))
#replace()用新字符替换字符串中被指定的字符,str.replace(old, new[, max]),max表示替换多少个,如不指定，全部替换
str3="this is history,it is not fake"
prin... | normal | {
"blob_id": "59170e6b0b0705b9908ed1c32bbea87373126594",
"index": 9484,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\"this's rstrip() function---------\")\nprint(str1.rstrip('c'))\nprint(str1.rstrip('d'))\n<mask token>\nprint(\"this's replace function----------\")\nprint(str3.replace('is', 'was')... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def send_msg():
global nameofcontact, msg
css_path = 'span[title="' + nameofcontact + '"]'
nameofcontact = driver.find_element_by_css_selector(css_path)
nameofcontact.click()
chatbox = driver.find_element_by_xpath(
'//*[@id="main"]/footer/div[1]/div/div/div[2]/... | flexible | {
"blob_id": "1811c0c5aca9d209638e2221cad2c30e80ee5199",
"index": 3116,
"step-1": "<mask token>\n\n\ndef send_msg():\n global nameofcontact, msg\n css_path = 'span[title=\"' + nameofcontact + '\"]'\n nameofcontact = driver.find_element_by_css_selector(css_path)\n nameofcontact.click()\n chatbox = d... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def set_seed(n):
global seed, py_rng, np_rng, t_rng
seed = n
py_rng = Random(seed)
np_rng = np.random.RandomState(seed)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
... | flexible | {
"blob_id": "9a183b1f81681b3dec1132a27b17e389438ab725",
"index": 6045,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef set_seed(n):\n global seed, py_rng, np_rng, t_rng\n seed = n\n py_rng = Random(seed)\n np_rng = np.random.RandomState(seed)\n\n\n<mask token>\n",
"step-3": "<mask to... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class PileMosaic:
def __init__(self):
self.width, self.height = 2380, 2800
self.filename = 'pile_mosaic.png'
self.crema = 240, 233, 227
self.choco = 89, 62, 53
self.luna = 43, 97, 123
self.latte = 195, 175, 148
self.piscina = 17... | flexible | {
"blob_id": "a484272ace089008e27f4e00d2e641118432665e",
"index": 4592,
"step-1": "<mask token>\n\n\nclass PileMosaic:\n\n def __init__(self):\n self.width, self.height = 2380, 2800\n self.filename = 'pile_mosaic.png'\n self.crema = 240, 233, 227\n self.choco = 89, 62, 53\n s... | [
7,
8,
12,
13,
14
] |
<|reserved_special_token_0|>
def leftEncoderCallback(answer):
global leftSteps
leftSteps = leftSteps + 1
global leftDistance
leftDistance = leftDistance + 0.24
print('Left Encoder.')
def rightEncoderCallback(answer):
global rightSteps
rightSteps = rightSteps + 1
global rightDistance
... | flexible | {
"blob_id": "53841ba56589955e09b03018af1d0ae79b3756c4",
"index": 5595,
"step-1": "<mask token>\n\n\ndef leftEncoderCallback(answer):\n global leftSteps\n leftSteps = leftSteps + 1\n global leftDistance\n leftDistance = leftDistance + 0.24\n print('Left Encoder.')\n\n\ndef rightEncoderCallback(answ... | [
5,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
class BaseLoader(metaclass=abc.ABCMeta):
@property
def plugin_class(self):
raise NotImplementedError()
<|reserved_special_token_0|>
@abc.abstractmethod
def get_options(self):
"""Return the list of parameters associated with the auth plugin.
T... | flexible | {
"blob_id": "53127de883fb5da3214d13904664566269becba6",
"index": 3570,
"step-1": "<mask token>\n\n\nclass BaseLoader(metaclass=abc.ABCMeta):\n\n @property\n def plugin_class(self):\n raise NotImplementedError()\n <mask token>\n\n @abc.abstractmethod\n def get_options(self):\n \"\"\"R... | [
4,
11,
13,
14,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
with open('C:/users/vinhe/code/projects/golf/golf_stats.csv', 'r') as file_obj:
content = file_obj.read()
client.import_csv(spreadsheet.id, data=content)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
scope =... | flexible | {
"blob_id": "ac2edcd6ea71ebdc5b1df5fd4211632b5d8e2704",
"index": 3019,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith open('C:/users/vinhe/code/projects/golf/golf_stats.csv', 'r') as file_obj:\n content = file_obj.read()\n client.import_csv(spreadsheet.id, data=content)\n",
"step-3": "<mask ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
from .authenticators import CookieAuthenticator, HeaderAuthenticator
from .paginators import LimitOffsetPaginator, PageNumberPaginator
from .views import *
<|reserved_special_token_1|>
from .authenticators import CookieAuthenticator, HeaderAuthenticator
fr... | flexible | {
"blob_id": "dab53d10958b36cf75ab53bf30f744b1ed8a09b6",
"index": 6475,
"step-1": "<mask token>\n",
"step-2": "from .authenticators import CookieAuthenticator, HeaderAuthenticator\nfrom .paginators import LimitOffsetPaginator, PageNumberPaginator\nfrom .views import *\n",
"step-3": "from .authenticators impor... | [
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if n1 <= n2 and n2 <= n3:
print(f'A ordem crescente é {n1}, {n2}, {n3}')
elif n1 <= n3 and n3 <= n2:
print(f'A ordem crescente é {n1}, {n3}, {n2}')
elif n2 <= n1 and n1 <= n3:
print(f'A ordem crescente é {n2}, {n1}, {n... | flexible | {
"blob_id": "09712a397ad7915d9865b4aebf16606f85988f67",
"index": 2737,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif n1 <= n2 and n2 <= n3:\n print(f'A ordem crescente é {n1}, {n2}, {n3}')\nelif n1 <= n3 and n3 <= n2:\n print(f'A ordem crescente é {n1}, {n3}, {n2}')\nelif n2 <= n1 and n1 <= n3:... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class Ratio_Execution_Time:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def calculatePercentage(self, B, total, strr):
E = {}
for i in B:
s = ''
for j in range(i[0], i[1] + 1):
s += '<p>' + strr[j] + '</p>'... | flexible | {
"blob_id": "150603004a4b194a7c08f1f23e37c613aa3b883a",
"index": 6431,
"step-1": "<mask token>\n\n\nclass Ratio_Execution_Time:\n <mask token>\n <mask token>\n\n def calculatePercentage(self, B, total, strr):\n E = {}\n for i in B:\n s = ''\n for j in range(i[0], i[1]... | [
3,
5,
7,
8,
10
] |
<|reserved_special_token_0|>
def db_create():
cur.execute(
"""
create table if not exists Offshores_asset (
id INTEGER PRIMARY KEY AUTO_INCREMENT,
asset_name VARCHAR(100),
asset_link VARCHAR(200),
slug ... | flexible | {
"blob_id": "3240310653930662dcc4d79646b1a75c2994cda7",
"index": 9063,
"step-1": "<mask token>\n\n\ndef db_create():\n cur.execute(\n \"\"\"\n create table if not exists Offshores_asset (\n id INTEGER PRIMARY KEY AUTO_INCREMENT,\n asset_name VARCHA... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def presses(phrase):
keyboard = ['1', 'ABC2', 'DEF3', 'GHI4', 'JKL5', 'MNO6', 'PQRS7',
'TUV8', 'WXYZ9', '*', ' 0', '#']
amount = 0
for lttr in phrase.upper():
for key in keyboard:
try:
i = key.index(lttr... | flexible | {
"blob_id": "c2e9a93861080be616b6d833a9343f1a2f018a0b",
"index": 5039,
"step-1": "<mask token>\n",
"step-2": "def presses(phrase):\n keyboard = ['1', 'ABC2', 'DEF3', 'GHI4', 'JKL5', 'MNO6', 'PQRS7',\n 'TUV8', 'WXYZ9', '*', ' 0', '#']\n amount = 0\n for lttr in phrase.upper():\n for key i... | [
0,
1
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Implements the webservice calls of the command
like rest apis or other network related methods
""" | normal | {
"blob_id": "48369e1ed826a9a50c0fd9f63b7cc10b8225ce2b",
"index": 8760,
"step-1": "<mask token>\n",
"step-2": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\"\"\"\nImplements the webservice calls of the command\nlike rest apis or other network related methods\n\"\"\"",
"step-3": null,
"step-4": null,
... | [
0,
1
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('x_train_data shape:', x_train_data.shape)
print(x_train_data.shape[0], 'train samples')
print(x_test_data.shape[0], 'test samples')
print(x_train_data[0])
<|reserved_special_token_0|>
print(y_train_data[i])
plt.title('Train... | flexible | {
"blob_id": "b4eb62413fb8069d8f11c34fbfecc742cd79bdb8",
"index": 7057,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('x_train_data shape:', x_train_data.shape)\nprint(x_train_data.shape[0], 'train samples')\nprint(x_test_data.shape[0], 'test samples')\nprint(x_train_data[0])\n<mask token>\nprint(y... | [
0,
1,
2,
3,
4
] |
include_rules = [
"+apps",
"+components/live_caption",
"+services/device/public",
"+components/device_reauth",
# Enable remote assistance on Chrome OS
"+remoting/host",
]
specific_include_rules = {
".*test.*": [
"+chrome/browser/ui/views/frame",
"+components/captive_portal",
"+components/web... | normal | {
"blob_id": "728af8b07bc391b496709e54926f3f1f49897176",
"index": 1992,
"step-1": "<mask token>\n",
"step-2": "include_rules = ['+apps', '+components/live_caption',\n '+services/device/public', '+components/device_reauth', '+remoting/host']\nspecific_include_rules = {'.*test.*': ['+chrome/browser/ui/views/fr... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-10 11:06
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('album', '0013_auto_20160210_1609'),
]
operations = [
migrations.CreateModel(... | normal | {
"blob_id": "a727502063bd0cd959fdde201832d37b29b4db70",
"index": 4304,
"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 = [('album', '00... | [
0,
1,
2,
3,
4
] |
# Generated by Django 3.2.3 on 2021-07-24 12:14
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('profiles', '0018_userprofile_membership_fee_pending'),
]
operations = [
migrations.RenameField(
model_name='userprofile',
ol... | normal | {
"blob_id": "464980a2f17aeedfa08548d6c4e247f8c047e2cb",
"index": 5743,
"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 = [('profiles', ... | [
0,
1,
2,
3,
4
] |
"""
Contain meta-data related functions:
* accessing integration schema: fields, values, constraints on inputs/queries
* tracking fields available
* tracking known (input field) values
"""
# coding=utf-8
__author__ = 'vidma'
| normal | {
"blob_id": "abdedad2c2b42b54cdba0e61e095ba3df0783b81",
"index": 1172,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__author__ = 'vidma'\n",
"step-3": "\"\"\"\nContain meta-data related functions:\n\n* accessing integration schema: fields, values, constraints on inputs/queries\n* tracking fields avai... | [
0,
1,
2
] |
<|reserved_special_token_0|>
class Hypergraph:
<|reserved_special_token_0|>
def __init__(self):
self.nodes = dict()
self.hypernodes = dict()
self.adj_out = dict()
self.adj_in = dict()
<|reserved_special_token_0|>
def add_hypernode(self, name: Hashable, nodes: Collecti... | flexible | {
"blob_id": "4a3611ecd70d80575f9f68bf45d67532a17b9c93",
"index": 7527,
"step-1": "<mask token>\n\n\nclass Hypergraph:\n <mask token>\n\n def __init__(self):\n self.nodes = dict()\n self.hypernodes = dict()\n self.adj_out = dict()\n self.adj_in = dict()\n <mask token>\n\n d... | [
8,
10,
15,
16,
20
] |
# -*- coding: utf-8 -*-
"""
This file is part of pyCMBS.
(c) 2012- Alexander Loew
For COPYING and LICENSE details, please refer to the LICENSE file
"""
import unittest
from pycmbs import data4D
class TestPycmbsData4D(unittest.TestCase):
def setUp(self):
pass
def test_DummyTest(self):
pass
i... | normal | {
"blob_id": "87562ce2a957de3fa2eb84cbb0de18c6ce264c6b",
"index": 7676,
"step-1": "<mask token>\n\n\nclass TestPycmbsData4D(unittest.TestCase):\n\n def setUp(self):\n pass\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestPycmbsData4D(unittest.TestCase):\n\n def setUp(s... | [
2,
3,
4,
5,
6
] |
def adder(x, y):
return x + y
adder('one', 'two')
adder([3, 4], [9, 0, 33])
adder(4.3, 3.5)
| normal | {
"blob_id": "1ee5139cb1613977f1c85619404b3dcc6e996382",
"index": 5364,
"step-1": "<mask token>\n",
"step-2": "def adder(x, y):\n return x + y\n\n\n<mask token>\n",
"step-3": "def adder(x, y):\n return x + y\n\n\nadder('one', 'two')\nadder([3, 4], [9, 0, 33])\nadder(4.3, 3.5)\n",
"step-4": null,
"st... | [
0,
1,
2
] |
# -*- coding:utf-8 -*-
"""
Author:xufei
Date:2021/1/21
"""
| normal | {
"blob_id": "d39e3a552a7c558d3f5b410e0b228fb7409d732a",
"index": 928,
"step-1": "<mask token>\n",
"step-2": "# -*- coding:utf-8 -*-\n\"\"\"\nAuthor:xufei\nDate:2021/1/21\n\"\"\"\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
from pypc.a_primitives.nand import nand
# nand gates used: 5
def half_adder(a: bool, b: bool) -> (bool, bool):
"""Returns a + b in the form of a tuple of two bools representing the two
bits."""
nand_a_b = nand(a, b)
nand_c = nand(nand_a_b, a)
nand_d = nand(nand_a_b, b)
high = nand(na... | normal | {
"blob_id": "66f6639ae62fe8c0b42171cf3e3fb450d8eee2b2",
"index": 7671,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef full_adder(a: bool, b: bool, c: bool) ->(bool, bool):\n \"\"\"Returns a + b + c in the form of a tuple of two bools representing the two\n bits.\n \n Carried value is ... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@ex.automain
def main(json_path, database, _log):
database_config = database
database = pt.configurable.config_to_instance(database)
database_dict = {'datasets': {dataset_name: dict(tqdm(database.
get_dataset(dataset_name).items(), desc=dataset_name)) for
datas... | flexible | {
"blob_id": "f39130099ccf467623d65ac328fd02538044d36a",
"index": 6476,
"step-1": "<mask token>\n\n\n@ex.automain\ndef main(json_path, database, _log):\n database_config = database\n database = pt.configurable.config_to_instance(database)\n database_dict = {'datasets': {dataset_name: dict(tqdm(database.\... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def quick_sort(array: list) ->list:
return []
<|reserved_special_token_1|>
"""
OBJECTIVE: Given a list, sort it from low to high using the QUICK SORT algorithm
Quicksort first divides a large array into two smaller sub-a... | flexible | {
"blob_id": "04099c46c029af37a08b3861809da13b3cc3153b",
"index": 997,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef quick_sort(array: list) ->list:\n return []\n",
"step-3": "\"\"\"\nOBJECTIVE: Given a list, sort it from low to high using the QUICK SORT algorithm\n\nQuicksort first divides ... | [
0,
1,
2
] |
t3 = float(input('Digite um numero: '))
print('o dobro deste numero é', t3 * 2)
print('O triplo deste numero é', t3 * 3)
print('E a raiz quadrada deste numero é', t3 ** (1 / 2))
| normal | {
"blob_id": "005ea8a1e75447b2b1c030a645bde5d0cdc8fb53",
"index": 3532,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('o dobro deste numero é', t3 * 2)\nprint('O triplo deste numero é', t3 * 3)\nprint('E a raiz quadrada deste numero é', t3 ** (1 / 2))\n",
"step-3": "t3 = float(input('Digite um nu... | [
0,
1,
2
] |
#Write a Python program to get the maximum and minimum value in a dictionary.
d1={6: 10, 2: 20, 5: 30, 4: 40, 1: 50, 3: 60}
print(max(d1.values()))
print(min(d1.values()))
| normal | {
"blob_id": "53e397068fcf88bbbce4dcc1bf1b441a2fbbee48",
"index": 2261,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(max(d1.values()))\nprint(min(d1.values()))\n",
"step-3": "d1 = {(6): 10, (2): 20, (5): 30, (4): 40, (1): 50, (3): 60}\nprint(max(d1.values()))\nprint(min(d1.values()))\n",
"step... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
from sqlalchemy.orm.session import sessionmaker, query
from FoodPandaStore.FoodPandaStore.model import *
import datetime as ... | normal | {
"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|>
def epoch_day(epoch_time):
epoch_time = int(epoch_time)
return epoch_time - epoch_time % 86400
<|reserved_special_token_0|>
def add_ecb():
unix_time = Web3.toInt(epoch_day(time.time()))
ECB = ECB_Processor()
f = open(ecb_daily_log_path, 'a')
if time.strftime('%... | flexible | {
"blob_id": "ecd5097d9d497b62b89217ee3c46506f21fc15d2",
"index": 5065,
"step-1": "<mask token>\n\n\ndef epoch_day(epoch_time):\n epoch_time = int(epoch_time)\n return epoch_time - epoch_time % 86400\n\n\n<mask token>\n\n\ndef add_ecb():\n unix_time = Web3.toInt(epoch_day(time.time()))\n ECB = ECB_Pro... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class CategoriesControllerTests(ControllerTestBase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CategoriesControllerTests(ControllerTestBase):
@classmethod
def setUpClass(cls):
sup... | flexible | {
"blob_id": "a4f2418e746cc43bd407b6a212de9802044351e1",
"index": 3928,
"step-1": "<mask token>\n\n\nclass CategoriesControllerTests(ControllerTestBase):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass CategoriesControllerTests(ControllerTestBase):\n\n @classmethod\n def setUpCl... | [
1,
2,
3,
4,
5
] |
__version__ = "2.1.2"
default_app_config = "channels.apps.ChannelsConfig"
DEFAULT_CHANNEL_LAYER = "default"
| normal | {
"blob_id": "92e414c76f4c585092a356d7d2957e91c1477c5f",
"index": 5658,
"step-1": "<mask token>\n",
"step-2": "__version__ = '2.1.2'\ndefault_app_config = 'channels.apps.ChannelsConfig'\nDEFAULT_CHANNEL_LAYER = 'default'\n",
"step-3": "__version__ = \"2.1.2\"\n\ndefault_app_config = \"channels.apps.ChannelsCo... | [
0,
1,
2
] |
try:
import RPi.GPIO as GPIO
import time
import numpy as np
import matplotlib.pyplot as plt
from os.path import dirname, join as pjoin
from scipy.io import wavfile
import scipy.io
except ImportError:
print ("Import error!")
raise SystemExit
try:
chan_list = (26, 19, 13, 6, 5, 1... | normal | {
"blob_id": "675d564ad60870f49b88dece480d5a50a30491df",
"index": 4907,
"step-1": "<mask token>\n\n\ndef decToBinList(decNumber):\n if decNumber < 0 or decNumber > 255:\n raise ValueError\n return [((int(decNumber) & 1 << i) >> i) for i in range(7, -1, -1)]\n\n\n<mask token>\n",
"step-2": "<mask to... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class LSTMRNN(object):
def __init__(self, n_steps, input_size, output_size, cell_size, batch_size
):
self.n_steps = n_steps
self.input_size = input_size
self.output_size = output_size
self.cell_size = cell_size
self.batch_size = batch_s... | flexible | {
"blob_id": "e54078f21176bbb7accb4164e7b56633b13cc693",
"index": 8803,
"step-1": "<mask token>\n\n\nclass LSTMRNN(object):\n\n def __init__(self, n_steps, input_size, output_size, cell_size, batch_size\n ):\n self.n_steps = n_steps\n self.input_size = input_size\n self.output_size ... | [
8,
11,
12,
13,
14
] |
<|reserved_special_token_0|>
class MediaSchema(ma.SQLAlchemyAutoSchema):
class Meta:
model = Media
fields = 'id', 'name', 'mimetype', 'extension', 'owner', '_links'
dump_only = 'id', 'owner', '_links'
include_fk = True
<|reserved_special_token_0|>
<|reserved_special_token... | flexible | {
"blob_id": "1810fee40ff8a99871ecc1d024f6794a68ee54e8",
"index": 3543,
"step-1": "<mask token>\n\n\nclass MediaSchema(ma.SQLAlchemyAutoSchema):\n\n\n class Meta:\n model = Media\n fields = 'id', 'name', 'mimetype', 'extension', 'owner', '_links'\n dump_only = 'id', 'owner', '_links'\n ... | [
1,
2,
3,
4,
5
] |
from twindb_backup.copy.binlog_copy import BinlogCopy
from twindb_backup.status.binlog_status import BinlogStatus
def test_get_latest_backup(raw_binlog_status):
instance = BinlogStatus(raw_binlog_status)
assert instance.get_latest_backup() == BinlogCopy(host='master1', name=
'mysqlbin005.bin', created... | normal | {
"blob_id": "0dc556336cee9e5f41c036c6fcf6da950216693c",
"index": 5910,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_get_latest_backup(raw_binlog_status):\n instance = BinlogStatus(raw_binlog_status)\n assert instance.get_latest_backup() == BinlogCopy(host='master1', name=\n 'm... | [
0,
1,
2
] |
import tensorflow as tf
import cv2
img=cv2.imread('d:\st.jpg',0)
cv2.namedWindow('st',cv2.WINDOW_NORMAL)#可以调整图像窗口大小
cv2.imshow('st',img)
cv2.imwrite('mes.png',img)
cv2.waitKey(0)
cv2.destroyAllWindows() | normal | {
"blob_id": "6b5399effe73d27eade0381f016cd7819a6e104a",
"index": 2466,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncv2.namedWindow('st', cv2.WINDOW_NORMAL)\ncv2.imshow('st', img)\ncv2.imwrite('mes.png', img)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n",
"step-3": "<mask token>\nimg = cv2.imread('d:\\... | [
0,
1,
2,
3,
4
] |
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