code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
import datetime
count = 0
for y in xrange(1901,2001):
for m in xrange(1,13):
if datetime.date(y,m,1).weekday() == 6:
count += 1
print count
| normal | {
"blob_id": "7430e17d1c424362399cf09a0c3ecae825d04567",
"index": 2996,
"step-1": "import datetime\ncount = 0\nfor y in xrange(1901,2001):\n\tfor m in xrange(1,13):\n\t\tif datetime.date(y,m,1).weekday() == 6:\n\t\t\tcount += 1\n\nprint count\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": n... | [
0
] |
from telegram.ext import Updater, Filters, MessageHandler, PicklePersistence
import telegram
import logging
logging.basicConfig(format='%(asctime)s %(message)s\n',
level=logging.INFO,filename='log.json')
logger = logging.getLogger(__name__)
def main():
# my_persistence = PicklePersistence(... | normal | {
"blob_id": "0a90f29a4e18c2aed23cb31b4239d44d23526327",
"index": 9133,
"step-1": "<mask token>\n\n\ndef main():\n updater = Updater('', use_context=True)\n dp = updater.dispatcher\n jobs = updater.job_queue\n dp.add_error_handler(error)\n updater.start_polling()\n updater.idle()\n\n\n<mask toke... | [
1,
2,
3,
4,
5
] |
def group(arr):
low, mid, high = 0, 0, len(arr)-1
while mid <= high:
print(arr)
if arr[mid] == 'R' :
arr[low], arr[mid] = arr[mid], arr[low]
low += 1
mid += 1
elif arr[mid] == 'G':
mid += 1
else:
arr[high], ar... | normal | {
"blob_id": "8ad47bf292e0046550cc0ef6f6bb75cf179ebd4b",
"index": 7477,
"step-1": "<mask token>\n",
"step-2": "def group(arr):\n low, mid, high = 0, 0, len(arr) - 1\n while mid <= high:\n print(arr)\n if arr[mid] == 'R':\n arr[low], arr[mid] = arr[mid], arr[low]\n low +... | [
0,
1,
2,
3,
4
] |
n, a, b = map(int, input().split())
cl = list(map(int, input().split()))
for i in range(n):
if cl[i] == a + b:
print(i + 1)
| normal | {
"blob_id": "ff081a5ff46ab37dc5a144fb4616c06ef3bca490",
"index": 7286,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(n):\n if cl[i] == a + b:\n print(i + 1)\n",
"step-3": "n, a, b = map(int, input().split())\ncl = list(map(int, input().split()))\nfor i in range(n):\n if cl[... | [
0,
1,
2
] |
"""Test an example."""
from . import main
def test_readme_escaping() -> None:
"""Ensure the demo matches expected."""
assert main() == "<div><span>Escaping</span></div>"
| normal | {
"blob_id": "7b459aad399a31f61b8686e1919b38d5538924b8",
"index": 2014,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_readme_escaping() ->None:\n \"\"\"Ensure the demo matches expected.\"\"\"\n assert main() == '<div><span>Escaping</span></div>'\n",
"step-3": "<mask token... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
"""
.. module:: convert
:synopsis: used to create info.txt and the <txname>.txt files.
"""
import sys
import os
import argparse
argparser = argparse.ArgumentParser(description =
'create info.txt, txname.txt, twiki.txt and sms.py')
argparser.add_argument ('-utilsPath', '--utilsPath',
help ... | normal | {
"blob_id": "c80b31bc154d5c1c8f9fc0ac226295160f2f9473",
"index": 4249,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nargparser.add_argument('-utilsPath', '--utilsPath', help=\n 'path to the package smodels_utils', type=str)\nargparser.add_argument('-smodelsPath', '--smodelsPath', help=\n 'path to ... | [
0,
1,
2,
3,
4
] |
import os
import sys
import socket
__target__ = '${EXTERNAL_HOST}'
sources = {}
def process_the_source(fname, dest=None, host_ip=None, verbose=False):
assert (os.path.exists(fname) and os.path.isfile(fname)), 'Cannot proceed without the fname in process_the_source().'
the_lines = []
with open(fname, 'r')... | normal | {
"blob_id": "d6af9a75fbe8bdf1a81a352cee71ac81fb373b86",
"index": 9926,
"step-1": "<mask token>\n\n\ndef process_the_source(fname, dest=None, host_ip=None, verbose=False):\n assert os.path.exists(fname) and os.path.isfile(fname\n ), 'Cannot proceed without the fname in process_the_source().'\n the_li... | [
1,
2,
3,
4,
5
] |
import re
# Wordcount: count the occurrences of each word in that phrase.
def word_count(phrase):
phrase = re.sub(r'\W+|_', ' ', phrase.lower(), flags=re.UNICODE)
word_list = phrase.split()
wordfreq = [word_list.count(p) for p in word_list]
return dict(zip(word_list, wordfreq))
| normal | {
"blob_id": "e12905efa0be7d69e2719c05b40d18c50e7e4b2e",
"index": 4933,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef word_count(phrase):\n phrase = re.sub('\\\\W+|_', ' ', phrase.lower(), flags=re.UNICODE)\n word_list = phrase.split()\n wordfreq = [word_list.count(p) for p in word_list]... | [
0,
1,
2,
3
] |
import loops
class Card():
#to make a card you must type Card("Name of Card")
def check_cat(self,string):
if "Cat" in string:
return True
return False
def __init__(self,string):
self.type = string
self.cat = self.check_cat(self.type)
# self.ima... | normal | {
"blob_id": "3b71ef6c3681b8c5e6aadf2d125c35cbf3a12661",
"index": 6248,
"step-1": "<mask token>\n\n\nclass Card:\n\n def check_cat(self, string):\n if 'Cat' in string:\n return True\n return False\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def steal(... | [
4,
6,
8,
10,
12
] |
import numpy as np
from scipy.stats import loguniform
import sys
def generate_parameters(seed):
np.random.seed(seed)
out={}
out['nfeatures'] = np.random.randint(3, 25)
out['lr'] = float(loguniform.rvs(0.001, 0.01, size=1))
out['gamma'] = np.random.uniform(0.75, 0.05)
out['penalty'] = float(logu... | normal | {
"blob_id": "7571e86be1077ae0f7ae542824cfcaaa2949dc83",
"index": 8731,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef generate_parameters(seed):\n np.random.seed(seed)\n out = {}\n out['nfeatures'] = np.random.randint(3, 25)\n out['lr'] = float(loguniform.rvs(0.001, 0.01, size=1))\n ... | [
0,
1,
2,
3,
4
] |
from django.db import models
# Create your models here.
class Task(models.Model):
level = models.PositiveSmallIntegerField()
topic = models.CharField(max_length=100)
content = models.TextField()
correct_answer = models.CharField(max_length=50)
class Answer(models.Model):
content = models.TextField... | normal | {
"blob_id": "06e01dce7e2342be994569099ed51d1fe28eea1c",
"index": 5784,
"step-1": "<mask token>\n\n\nclass Answer(models.Model):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Task(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token... | [
1,
3,
4,
5,
6
] |
from util import *
def K_step(x):
if not x.shape:
return S.One
assert len(x.shape) == 1
n = x.shape[0]
if n == 2:
return x[1]
return Piecewise((1, Equal(n, 1)),
(x[1], Equal(n, 2)),
(K(x[:n - 1]) * x[n - 1] + K(x[:n - 2]), True))
K = Fun... | normal | {
"blob_id": "b00c07ee3cdba55800c9701b7b8b0e3c9079e9f8",
"index": 6272,
"step-1": "<mask token>\n\n\ndef K_step(x):\n if not x.shape:\n return S.One\n assert len(x.shape) == 1\n n = x.shape[0]\n if n == 2:\n return x[1]\n return Piecewise((1, Equal(n, 1)), (x[1], Equal(n, 2)), (K(x[:n... | [
3,
4,
5,
6,
7
] |
from math import *
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 sting')
eval_loop()
| normal | {
"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 python3
"""
Python class to access Netonix® WISP Switch WebAPI
** NEITHER THIS CODE NOR THE AUTHOR IS ASSOCIATED WITH NETONIX® IN ANY WAY.**
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software,... | normal | {
"blob_id": "743d261052e4532c1304647501719ad897224b4e",
"index": 8991,
"step-1": "<mask token>\n\n\nclass Netonix:\n <mask token>\n\n def _get(self, url, params=None, timeout=15, **kwargs):\n full_url = 'https://' + self.ip + self.url[url]\n return self.s.get(full_url, params=params, timeout=... | [
9,
11,
13,
14,
20
] |
#Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
#importing the data
dataset=pd.read_csv('Social_Network_Ads.csv')
X=dataset.iloc[:,0:2].values
y=dataset.iloc[:,2].values
#spiliting the data into training data and testing data
from sklearn.model_selection impo... | normal | {
"blob_id": "149f8b453786ec54668a55ec349ac157d2b93b5d",
"index": 2397,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlog.fit(X_train, y_train)\nlog.predict(sc.transform([[45, 87000]]))\n<mask token>\nnp.set_printoptions(precision=2)\nnp.concatenate((y_pred.reshape(len(y_pred), 1), y_test.reshape(len(y_t... | [
0,
1,
2,
3,
4
] |
import matplotlib.pyplot as plt
class Scatter:
def __init__(self, values, ylabel, title):
self.values = values
self.range = list(range(len(values)))
self.ylabel = ylabel
self.title = title
def plot(self):
fig = plt.figure()
ax = fig.add_axes([0, 0, ... | normal | {
"blob_id": "58385a7713a8f88925ced714d25f1522bc7e39d8",
"index": 1181,
"step-1": "<mask token>\n\n\nclass Scatter:\n <mask token>\n <mask token>\n\n\nclass Pie:\n\n def __init__(self, values, labels, title):\n self.style = 'fivethirtyeight'\n self.values = values\n self.labels = lab... | [
5,
6,
7,
8,
9
] |
import torch
import torch.nn as nn
class DehazeNet(nn.Module):
def __init__(self, input=16, groups=4):
super(DehazeNet, self).__init__()
self.conv1 = nn.Conv2d(in_channels=3, out_channels=16, kernel_size=5)
self.relu1 = nn.ReLU()
self.conv2 = nn.Conv2d(in_channels=4, out_channels=... | normal | {
"blob_id": "a8cf8d0965cb877d50cee403fbc30f27484f4f36",
"index": 8201,
"step-1": "<mask token>\n\n\nclass DehazeNet(nn.Module):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass DehazeNet(nn.Module):\n\n def __init__(self, input=16, groups=4):\n super(DehazeNet, self).__init_... | [
1,
2,
3,
4,
5
] |
import spacy
nlp = spacy.load("en_core_web_sm")
text = (
"Chick-fil-A is an American fast food restaurant chain headquartered in "
"the city of College Park, Georgia, specializing in chicken sandwiches."
)
# Disable the tagger and parser
with ____.____(____):
# Process the text
doc = ____
# Print ... | normal | {
"blob_id": "6eecf0ff1ad762089db6e9498e906e68b507370c",
"index": 1875,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwith ____.____(____):\n doc = ____\n print(____)\n",
"step-3": "<mask token>\nnlp = spacy.load('en_core_web_sm')\ntext = (\n 'Chick-fil-A is an American fast food restaurant ch... | [
0,
1,
2,
3,
4
] |
import os
import subprocess
import discord
import asyncio
import traceback
import sys
import ast
from discord.ext import commands
# Import Cogs
from cogs.misc import Miscellaneous
from cogs.serversettings import ServerSettings
from cogs.mod import Moderator
from cogs.automod import AutoMod
from cogs.google import Goo... | normal | {
"blob_id": "4f9729e396e01cb3d6c9011f79a1ebe618a8e762",
"index": 7787,
"step-1": "<mask token>\n\n\ndef insert_returns(body):\n if isinstance(body[-1], ast.Expr):\n body[-1] = ast.Return(body[-1].value)\n ast.fix_missing_locations(body[-1])\n if isinstance(body[-1], ast.If):\n insert_r... | [
1,
3,
4,
5,
6
] |
# Reddit API feed
import praw
import sys
import os
def main():
if os.getenv("REDDIT_CLIENT_ID") is None:
print "Set your Reddit environment variables:"
print "REDDIT_CLIENT_ID and REDDIT_CLIENT_SECRET"
sys.exit()
client_id = os.environ['REDDIT_CLIENT_ID']
client_secret = os.environ... | normal | {
"blob_id": "9543992e1b115f83640a07c4d4372be0fb465199",
"index": 3256,
"step-1": "# Reddit API feed\n\nimport praw\nimport sys\nimport os\n\ndef main():\n if os.getenv(\"REDDIT_CLIENT_ID\") is None:\n print \"Set your Reddit environment variables:\"\n print \"REDDIT_CLIENT_ID and REDDIT_CLIENT_S... | [
0
] |
#!/usr/bin/python
import os, sys
import csv
import glob
if len(sys.argv)==3:
res_dir = sys.argv[1]
info = sys.argv[2]
else:
print "Incorrect arguments: enter outout directory"
sys.exit(0)
seg = dict([('PB2','1'), ('PB1','2'), ('PA','3'), ('HA','4'), ('NP','5'), ('NA','6'), ('MP','7'), ('NS','8')])
# Read th... | normal | {
"blob_id": "4a2796645f1ab585084be47c8cd984c2945aa38b",
"index": 4270,
"step-1": "#!/usr/bin/python\n\nimport os, sys\nimport csv\nimport glob\n\nif len(sys.argv)==3:\n res_dir = sys.argv[1]\n info = sys.argv[2]\n\nelse:\n print \"Incorrect arguments: enter outout directory\"\n sys.exit(0)\n\nseg = dict([('P... | [
0
] |
def test_logsources_model(self):
"""
Comprobacion de que el modelo de la fuente de seguridad coincide con su asociado
Returns:
"""
log_source = LogSources.objects.get(Model="iptables v1.4.21")
self.assertEqual(log_source.get_model(), "iptables v1.4.21")
| normal | {
"blob_id": "c645461effe288a1959b783473d62ff99ca29547",
"index": 8746,
"step-1": "<mask token>\n",
"step-2": "def test_logsources_model(self):\n \"\"\"\n Comprobacion de que el modelo de la fuente de seguridad coincide con su asociado\n Returns:\n\n \"\"\"\n log_source = LogSources.objects.get(M... | [
0,
1,
2
] |
#encoding=utf-8
import pytest
from frame_project.实战2.main_page import MainPage
class TestMian:
def test_mian(self):
MainPage().goto_marketpage().goto_search().search()
if __name__ == '__main__':
pytest.main(['test_case.py','-s','-v'])
| normal | {
"blob_id": "e1751cc6f76f56e62cd02d61db65f1c27a4ff1b9",
"index": 7351,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestMian:\n\n def test_mian(self):\n MainPage().goto_marketpage().goto_search().search()\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass TestMian:\n\n de... | [
0,
2,
3,
4,
5
] |
import json
import os
import sys
"""
Course: cmps 4883
Assignemt: A03
Date: 2/10/19
Github username: acdczlc
Repo url: https://github.com/acdczlc/4883-SWTools-Conley
Name: Zac Conley
Description:
Calculates all stats for questions about stats
"""
##############################################################
# Mos... | normal | {
"blob_id": "2a4f57cd0fc1c50cba06c285849432c6f71f28e2",
"index": 2642,
"step-1": "<mask token>\n\n\ndef MostTeams(OffAndDef):\n most = []\n count = 0\n for playerid, playerdata in OffAndDef.items():\n if playerdata['name'] != '':\n if len(playerdata['Teams']) > count:\n ... | [
8,
9,
10,
15,
17
] |
import swipe
def scheduleMultipoint(driver):
driver.find_element_by_id('com.dentist.android:id/calendarBt').click()
driver.find_element_by_id('com.dentist.android:id/addIb').click()
def time(driver):#就诊时间
driver.find_element_by_id('com.dentist.android:id/cureHourLl').click()#就诊时间
drive... | normal | {
"blob_id": "02bc97b963b970993fc947cfa41c73230dd4d9e4",
"index": 2649,
"step-1": "<mask token>\n\n\ndef scheduleMultipoint(driver):\n driver.find_element_by_id('com.dentist.android:id/calendarBt').click()\n driver.find_element_by_id('com.dentist.android:id/addIb').click()\n\n\ndef time(driver):\n driver... | [
4,
6,
7,
8,
9
] |
#!/usr/bin/python
import argparse
import os
import pipes
import sys
import rospy
import std_msgs.msg
import actionlib
import time
import datetime
from geometry_msgs.msg import Pose, Point, Quaternion
from actionlib import *
from location_provider.srv import GetLocationList
from std_srvs.srv import Trigger
try:
i... | normal | {
"blob_id": "7a0e7ede263727ef303ba23dff1949c3a7031360",
"index": 7423,
"step-1": "#!/usr/bin/python\nimport argparse\nimport os\nimport pipes\nimport sys\n\nimport rospy\nimport std_msgs.msg\nimport actionlib\nimport time\n\nimport datetime\nfrom geometry_msgs.msg import Pose, Point, Quaternion\nfrom actionlib i... | [
0
] |
from django.db import models
# Create your models here.
class Logins(models.Model):
created = models.DateTimeField(auto_now_add=True)
login_addr = models.GenericIPAddressField()
hostname = models.CharField(max_length=200)
| normal | {
"blob_id": "9a55ccf758b4b2cc440153ab3b1f97823863a848",
"index": 165,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Logins(models.Model):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Logins(models.Model):\n created = models.DateTimeField(aut... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python2
#
# Author: Victor Ananjevsky, 2007 - 2010
# based on xdg-menu.py, written by Piotr Zielinski (http://www.cl.cam.ac.uk/~pz215/)
# License: GPL
#
# This script takes names of menu files conforming to the XDG Desktop
# Menu Specification, and outputs their FVWM equivalents to the
# standard output.
#
#... | normal | {
"blob_id": "214aadb7b3fc125da12f098bde87fce295349fdf",
"index": 1917,
"step-1": "#!/usr/bin/python2\n#\n# Author: Victor Ananjevsky, 2007 - 2010\n# based on xdg-menu.py, written by Piotr Zielinski (http://www.cl.cam.ac.uk/~pz215/)\n# License: GPL\n#\n# This script takes names of menu files conforming to the XDG... | [
0
] |
import pygame
import time
from menus import MainMenu
from scenes import TestWorldGen
from scenes import TestAnimation
from scenes import TestLevel2
from scenes import MainGame
import random
class GameManager:
def __init__(self):
self.screen = pygame.display.set_mode((1280, 720),
... | normal | {
"blob_id": "91806afea92587476ac743346b88098b197a033c",
"index": 9706,
"step-1": "<mask token>\n\n\nclass GameManager:\n\n def __init__(self):\n self.screen = pygame.display.set_mode((1280, 720), flags=pygame.\n FULLSCREEN | pygame.HWSURFACE | pygame.DOUBLEBUF)\n self.running = True\n... | [
4,
5,
6,
7,
8
] |
from django.shortcuts import render
from post.models import *
from .models import *
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from account.models import Profile
from django.contrib.auth.models import User
from django.db.models import Q
# Create your views here.
def index(request):
posts... | normal | {
"blob_id": "ee3718dee869a58089e897489af2eec3ff72be56",
"index": 3478,
"step-1": "<mask token>\n\n\ndef index(request):\n posts = Post.objects.order_by('-created_at').filter(status='Published')\n paginator = Paginator(posts, 9)\n page = request.GET.get('page')\n post_listings = paginator.get_page(pag... | [
2,
3,
4,
5,
6
] |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.core.validators import MinLengthValidator, MaxLengthValidator, RegexValidator
from pizzaclub.settings import MAX_DNI_LENGTH, MAX_CUIL_LENGTH, PASSWORD_RESET_TIMEOUT
from pizzaclub.settings import MIN_DNI_LENGTH, MIN_CUIL_LENGT... | normal | {
"blob_id": "b7511c156c241accaf1668d83ee0a5263b41af0d",
"index": 3465,
"step-1": "<mask token>\n\n\nclass User(AbstractUser):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def check_token(self, token):\n \"\"\"\n ... | [
8,
13,
15,
16,
18
] |
from django.db.models import Exists
from django.db.models import OuterRef
from django.db.models import QuerySet
from django.utils import timezone
class ProductQuerySet(QuerySet):
def available(self):
return self.filter(available_in__contains=timezone.now(), category__public=True)
def annotate_subprod... | normal | {
"blob_id": "3fdf67c3e0e4c3aa8a3fed09102aca0272b5ff4f",
"index": 6938,
"step-1": "<mask token>\n\n\nclass OrderQuerySet(QuerySet):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ProductQuerySet(QuerySet):\n <mask token>\n <... | [
1,
7,
8,
9,
11
] |
import json, re, bcrypt, jwt
from datetime import datetime, timedelta
from django.core.exceptions import ObjectDoesNotExist
from django.db.models import Avg
from django.http import JsonResponse
from django.views import View
from room.models import Room, Category, Ro... | normal | {
"blob_id": "cc5b22a0246fcc9feaed6a0663095a6003e6cef1",
"index": 6685,
"step-1": "<mask token>\n\n\nclass RoomView(View):\n\n def get(self, request, room_id):\n try:\n room = Room.objects.get(id=room_id)\n rating_list = [field.name for field in Review._meta.get_fields(\n ... | [
6,
7,
8,
9,
10
] |
import gc
import sys
import time
import warnings
import multiprocessing
import numpy as np
import pandas as pd
import lightgbm as lgb
from os import path, makedirs
from tqdm import tqdm
from utils import Logger
from datetime import datetime
from sklearn.metrics import roc_auc_score
from sklearn.model_s... | normal | {
"blob_id": "74c875d00c665aabbcad4e23e6059c3445d5e7bd",
"index": 1597,
"step-1": "<mask token>\n\n\ndef load_dataframe(dataset):\n return pd.read_csv(dataset)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef load_dataframe(dataset):\n return pd.read_csv(dataset)\n\n\ndef augment(x, y, t=2):\n xs... | [
1,
2,
3,
4,
5
] |
# Generated by Django 3.1.6 on 2021-02-27 23:29
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('RMS', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='inventorytable',
old_name='Restaurant_ID',
... | normal | {
"blob_id": "ba336094d38a47457198919ce60969144a8fdedb",
"index": 5374,
"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 = [('RMS', '0001... | [
0,
1,
2,
3,
4
] |
REGION_LIST = [
'Центральный',
'Северо-Западный',
'Южный',
'Северо-Кавказский',
'Приволжский',
'Уральский',
'Сибирский',
'Дальневосточный',
]
CITY_LIST = {
'Абакан': 7,
'Альметьевск': 5,
'Ангарск': 7,
'Архангельск': 2,
'Астрахань': 3,
'Барнаул': 7,
'Батайск':... | normal | {
"blob_id": "2101299d6f6bfcd4726591fc256317968373ca1f",
"index": 3071,
"step-1": "<mask token>\n",
"step-2": "REGION_LIST = ['Центральный', 'Северо-Западный', 'Южный',\n 'Северо-Кавказский', 'Приволжский', 'Уральский', 'Сибирский',\n 'Дальневосточный']\nCITY_LIST = {'Абакан': 7, 'Альметьевск': 5, 'Ангарс... | [
0,
1,
2
] |
from sys import exit
from os import stat
file = open("fiunamfs.img","r")
nombre = file.read(8)
file.seek(10)
version = file.read(3)
file.seek(20)
etiqueta = file.read(15)
file.seek(40)
cluster = file.read(5)
file.seek(47)
numero = file.read(2)
file.seek(52)
numeroCompleto = file.read(8)
file.close()
archivos = []
tam... | normal | {
"blob_id": "da69fd937153fe2112b9f64411882527274247ef",
"index": 1878,
"step-1": "<mask token>\n\n\ndef clusterVacio():\n arreAux = []\n busca = 1\n bandera = True\n for i in range(len(clusters)):\n clu = clusters[i]\n arreAux.append(int(clu[0]))\n print(arreAux)\n while bandera:\... | [
8,
9,
10,
12,
13
] |
"""APP Cloud Connect errors"""
class CCEError(Exception):
pass
class ConfigException(CCEError):
"""Config exception"""
pass
class FuncException(CCEError):
"""Ext function call exception"""
pass
class HTTPError(CCEError):
""" HTTPError raised when HTTP request returned a error."""
de... | normal | {
"blob_id": "e2840eb1b0d731d6b0356835ba371d05ba351ff6",
"index": 5323,
"step-1": "<mask token>\n\n\nclass HTTPError(CCEError):\n \"\"\" HTTPError raised when HTTP request returned a error.\"\"\"\n\n def __init__(self, reason=None):\n \"\"\"\n Initialize HTTPError with `response` object and `s... | [
8,
9,
10,
12,
14
] |
import setuptools
setuptools.setup(name='cppersist', install_requires=['Eve'])
| normal | {
"blob_id": "4f1956b34ac3b55b2d40220b79816c139b4a2f5c",
"index": 9574,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetuptools.setup(name='cppersist', install_requires=['Eve'])\n",
"step-3": "import setuptools\nsetuptools.setup(name='cppersist', install_requires=['Eve'])\n",
"step-4": null,
"step... | [
0,
1,
2
] |
import os
# Set a single thread per process for numpy with MKL/BLAS
os.environ['MKL_NUM_THREADS'] = '1'
os.environ['OPENBLAS_NUM_THREADS'] = '1'
os.environ['MKL_DEBUG_CPU_TYPE'] = '5'
import numpy as np
from matplotlib import pyplot as plt
from copy import deepcopy
from kadal.optim_tools.MOBO import MOBO
from kadal.s... | normal | {
"blob_id": "ba289bcdc0aa7c2ad70dba7fac541900d0b55387",
"index": 7585,
"step-1": "<mask token>\n\n\ndef generate_kriging():\n nsample = 20\n nvar = 2\n nobj = 2\n lb = -1 * np.ones(shape=[nvar])\n ub = 1 * np.ones(shape=[nvar])\n sampoption = 'halton'\n samplenorm, sample = sampling(sampopti... | [
2,
3,
4,
5,
6
] |
#from __future__ import absolute_import
#import os
from celery import Celery
#from django.conf import settings
#os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'learning.settings')
app = Celery('tasks', broker="redis://localhost")
#app.config_from_object('django.conf:settings')
#app.autodiscover_tasks(lambda: setti... | normal | {
"blob_id": "3ef114dd35ef3995ae73bf85bbe38db4fb7045d8",
"index": 7315,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@app.task\ndef add(x, y):\n return x + y\n",
"step-3": "<mask token>\napp = Celery('tasks', broker='redis://localhost')\n\n\n@app.task\ndef add(x, y):\n return x + y\n",
"st... | [
0,
1,
2,
3,
4
] |
import json
import boto3
import os
from helper import getEC2Regions, sendDataToSNS, OPTOUT_TAG, SNS_NOTIFICATION_IIAS_EC2
def getEC2FilteredRegionalInstanceInfo(region):
ec2RegionalClient = boto3.client('ec2', region_name = region)
paginator = ec2RegionalClient.get_paginator('describe_instances')
page_ite... | normal | {
"blob_id": "d5f1601d11eb54e6c3dafab0137ec8f2358bb568",
"index": 4101,
"step-1": "<mask token>\n\n\ndef getEC2FilteredRegionalInstanceInfo(region):\n ec2RegionalClient = boto3.client('ec2', region_name=region)\n paginator = ec2RegionalClient.get_paginator('describe_instances')\n page_iterator = paginato... | [
3,
4,
5,
6,
7
] |
from django.shortcuts import render
# Create your views here.
from django.shortcuts import render_to_response
from post.models import Post
#def ver_un_post(request, idpost):
# post = Post.objects.get(id=idpost)
#
# return render_to_response("post.html",{"post":post,},)
def home(request):
cursos = Cur... | normal | {
"blob_id": "bd81f4431699b1750c69b0bbc82f066332349fbd",
"index": 8976,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef home(request):\n cursos = Curso.objects.order_by('numero')\n return render_to_response('home.html', {'posts': posts})\n",
"step-3": "from django.shortcuts import render\nf... | [
0,
1,
2,
3
] |
import sys
input = sys.stdin.readline
from collections import deque
size, num = map(int, input().split())
position = list(map(int, input().split()))
cnt = 0
nums = []
for k in range(1, size + 1):
nums.append(k)
size = deque(nums)
position = deque(position)
while position != deque([]):
if position[0] == 1:
... | normal | {
"blob_id": "c0c0ed31a09f2b49448bc1f3519aa61daaba20af",
"index": 5023,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor k in range(1, size + 1):\n nums.append(k)\n<mask token>\nwhile position != deque([]):\n if position[0] == 1:\n size.popleft()\n position.popleft()\n for i i... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 4 15:19:49 2018
@author: haoyu
"""
import numpy as np
def train_test_split(X, y, test_ratio = 0.2, seed = None):
'''将数据X和y按照test_ratio分割成X_train,X_test,y_train,y_test'''
assert X.shape[0] == y.shape[0], \
'the size of X must be equal to the size of y'
... | normal | {
"blob_id": "beda3d13e3dc12f7527f5c5ba8a0eb05c2734fd9",
"index": 6133,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef train_test_split(X, y, test_ratio=0.2, seed=None):\n \"\"\"将数据X和y按照test_ratio分割成X_train,X_test,y_train,y_test\"\"\"\n assert X.shape[0] == y.shape[0\n ], 'the size of... | [
0,
1,
2,
3
] |
import os
import sys
import json
import logging
import argparse
from glob import glob
from pricewatcher.tools import ensure_mkdir
from pricewatcher.parser.f21 import ForeverParser
from pricewatcher.parser.jcrew import JcrewParser
from pricewatcher.utils.load_es import bulk_load_es
BRAND_PARSERS={
'forever21': Forever... | normal | {
"blob_id": "2c22f891f30825bcb97987c78a98988ad2a92210",
"index": 385,
"step-1": "<mask token>\n\n\ndef date_handler(obj):\n return obj.isoformat() if hasattr(obj, 'isoformat') else obj\n\n\ndef run():\n parser = argparse.ArgumentParser(description='Process some integers.')\n parser.add_argument('--input... | [
2,
3,
4,
5,
6
] |
s = input()
st = '>>-->'
st2 = '<--<<'
sch1 = sch2 = 0
i = 0
j = 0
k = -1
while i != -1:
i = s.find(st, j)
if (k != i) and (i != -1):
k = i
sch1 += 1
j += 1
j = 0
i = 0
k = -1
while i != -1:
i = s.find(st2, j)
if (k != i) and (i != -1):
k = i
sch2 += 1
j += 1
prin... | normal | {
"blob_id": "c18e452592d53f22858f2307c60aa997b809c3c3",
"index": 4356,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile i != -1:\n i = s.find(st, j)\n if k != i and i != -1:\n k = i\n sch1 += 1\n j += 1\n<mask token>\nwhile i != -1:\n i = s.find(st2, j)\n if k != i and i ... | [
0,
1,
2,
3
] |
from ..models import Empleado, Puesto, Tareas
from django.contrib.auth import login, logout
from django.contrib.auth.models import User, Group
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializers import EmpleadoSeri... | normal | {
"blob_id": "cce85d8a34fd20c699b7a87d402b34231b0d5dbb",
"index": 3186,
"step-1": "<mask token>\n\n\nclass UserViewSet(viewsets.ModelViewSet):\n queryset = User.objects.all()\n model = User\n serializer_class = UserSerializer\n\n def get_permissions(self):\n return (AllowAny() if self.request.m... | [
9,
11,
14,
16,
18
] |
def gen_metadata(fn):
metadata = {}
lines = open(fn,'r').readlines()
for line in lines:
line = line.rstrip()
if len(line) == 0:
continue
elif line.startswith('#'):
continue
elif line.startswith('%'):
continue
else:
# Special case RingThresh
firstWord = line.split()[0]
if line.startswith('... | normal | {
"blob_id": "5066c2a5219cf1b233b4985efc7a4eb494b784ca",
"index": 7363,
"step-1": "<mask token>\n",
"step-2": "def gen_metadata(fn):\n metadata = {}\n lines = open(fn, 'r').readlines()\n for line in lines:\n line = line.rstrip()\n if len(line) == 0:\n continue\n elif lin... | [
0,
1,
2,
3
] |
import sys
def dir_slash():
slash = '/'
if 'win' in sys.platform:
slash = '\\'
return slash
| normal | {
"blob_id": "b12c8d0cb1cd1e48df6246fe3f16467b2db296e0",
"index": 745,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef dir_slash():\n slash = '/'\n if 'win' in sys.platform:\n slash = '\\\\'\n return slash\n",
"step-3": "import sys\n\n\ndef dir_slash():\n slash = '/'\n if 'w... | [
0,
1,
2
] |
n = 1
ip = []
ma = []
l = [0, 0, 0, 0, 0, 0, 0] # a, b, c, d, e, wpm, pr
while n != 0:
a = input().strip().split("~")
n = len(a)
if n == 1:
break
ip.append(a[0])
ma.append(a[1])
for i in ip:
ipn = i.split(".")
try:
if 1 <= int(ipn[0]) <= 126:
p = 0
elif 1... | normal | {
"blob_id": "4a13f05fbbe598242f5663d27d578d2eb977e103",
"index": 6137,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile n != 0:\n a = input().strip().split('~')\n n = len(a)\n if n == 1:\n break\n ip.append(a[0])\n ma.append(a[1])\nfor i in ip:\n ipn = i.split('.')\n try:\... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
# coding: utf-8
import numpy as np
import copy
import sys
def mutate(genotype_in, mut_matrix):
genotype_out = np.zeros(8)
for i in range(8):
rand_vec = np.random.choice(8, size=int(genotype_in[i]), p=mut_matrix[i,:])
genotype_out+=np.bincount(rand_vec, minlength=8)
r... | normal | {
"blob_id": "9065842a8e90c833278547310f027bc63c7a9a47",
"index": 7557,
"step-1": "<mask token>\n\n\ndef mutate(genotype_in, mut_matrix):\n genotype_out = np.zeros(8)\n for i in range(8):\n rand_vec = np.random.choice(8, size=int(genotype_in[i]), p=\n mut_matrix[i, :])\n genotype_ou... | [
7,
8,
10,
11,
12
] |
import discord
from collections import Counter
from db import readDB, writeDB
INFO_DB_SUCCESS = 'Database updated successfully!'
ERROR_DB_ERROR = 'Error: Unable to open database for writing'
ERROR_DB_NOT_FOUND = 'Error: Database for specified game does not exist. Check your spelling or use !addgame first.'
ERROR_PLA... | normal | {
"blob_id": "5869669f1e3f648c0ddc68683f0b1d2754b40169",
"index": 8714,
"step-1": "<mask token>\n\n\ndef roundMultiple(num, multiple):\n if num % multiple:\n return num + (multiple - num % multiple)\n return num\n\n\n<mask token>\n\n\ndef incrementStats(msgChannel, statsFile, winner, losers):\n da... | [
4,
5,
6,
7,
9
] |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This is a collection of monkey patches and workarounds for bugs in
earlier versions of Numpy.
"""
from ...utils import minversion
__all__ = ['NUMPY_LT_1_10_4', 'NUMPY_LT_1_11',
'NUMPY_LT_1_12', 'NUMPY_LT_1_13', 'NUMPY_LT_1_14',
... | normal | {
"blob_id": "9376d697158faf91f066a88e87d317e79a4d9240",
"index": 6575,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n__all__ = ['NUMPY_LT_1_10_4', 'NUMPY_LT_1_11', 'NUMPY_LT_1_12',\n 'NUMPY_LT_1_13', 'NUMPY_LT_1_14', 'NUMPY_LT_1_14_1', 'NUMPY_LT_1_14_2']\nNUMPY_LT_1_10_4 = not minversion('numpy', '1.... | [
0,
1,
2,
3
] |
import requests
import json
def display_response(rsp):
try:
print("Printing a response.")
print("HTTP status code: ", rsp.status_code)
h = dict(rsp.headers)
print("Response headers: \n", json.dumps(h, indent=2, default=str))
try:
body = rsp.json()
p... | normal | {
"blob_id": "31761b9469cc579c209e070fbe7b71943404a1ff",
"index": 3992,
"step-1": "<mask token>\n\n\ndef test_get_from_hell():\n try:\n url = (\n 'http://127.0.0.1:5000/api/lahman2017/people?children=appearances%2Cbatting&people.nameLast=Williams&batting.yearID=1960&appearances.yearID=1960&fi... | [
1,
2,
3,
4,
5
] |
#############################################################################
## Crytek Source File
## Copyright (C) 2013, Crytek Studios
##
## Creator: Christopher Bolte
## Date: Oct 31, 2013
## Description: WAF based build system
#############################################################################
from wafl... | normal | {
"blob_id": "5848273a76995825f01df53d6beed534e6f9f9fe",
"index": 8730,
"step-1": "<mask token>\n\n\n@conf\ndef load_debug_linux_x64_settings(conf):\n \"\"\"\n\tSetup all compiler and linker settings shared over all linux_x64 configurations for\n\tthe 'debug' configuration\n\t\"\"\"\n v = conf.env\n load... | [
3,
4,
5,
6,
7
] |
from django.contrib import admin
from .models import (AddressLink, Address, Child, Citation,
Configuration, Event, Exclusion, FactType,
Family, Group, Label, LinkAncestry,
Link, MediaLink, Multimedia, Name,
Person, Place, ResearchItem,... | normal | {
"blob_id": "b4d48427dddc7c0240cf05c003cbf7b0163279ee",
"index": 9729,
"step-1": "<mask token>\n\n\nclass FactTypeAdmin(RootsMagicModelAdmin):\n list_display = ['id', 'owner_type', 'name', 'abbreviation',\n 'gedcom_tag', 'use_value', 'use_date', 'use_place', 'sentence', 'flags'\n ]\n\n\nclass Fa... | [
31,
35,
38,
39,
48
] |
# coding=utf-8
"""
PYOPENGL-TOOLBOX UTILS
General purpouse functions.
MIT License
Copyright (c) 2015-2019 Pablo Pizarro R.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, inc... | normal | {
"blob_id": "cffcfa08cd919f93dfe2ab8dc676efc76feafab3",
"index": 2123,
"step-1": "<mask token>\n\n\ndef create_axes(length, both=False, text=False, font=_glut.\n GLUT_BITMAP_HELVETICA_18):\n \"\"\"\n Create axes system.\n\n :param length: Axes length\n :param both: Both axes\n :param text: Show... | [
2,
3,
5,
6,
7
] |
import random
def main():
#print('You rolled a die')
return random.randint(1,6)
if __name__== "__main__":
main()
| normal | {
"blob_id": "6d92b944ab8503d3635626c0c23021fc2b40dce3",
"index": 5732,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n return random.randint(1, 6)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef main():\n return random.randint(1, 6)\n\n\nif __name__ == '__main__':\n mai... | [
0,
1,
2,
3,
4
] |
from menu_sun_integration.application.adapters.customer_adapter import CustomerAdapter
from menu_sun_integration.infrastructure.brf.builders.brf_base_builder import BRFBaseBuilder
from menu_sun_integration.infrastructure.brf.translators.brf_customer_translator import BRFCustomerTranslator
class BRFCustomerBuilder(BRF... | normal | {
"blob_id": "8020bac94de3e68193c9891a628a48c537c5afa0",
"index": 9069,
"step-1": "<mask token>\n\n\nclass BRFCustomerBuilder(BRFBaseBuilder):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass BRFCustomerBuilder(BRFBaseBuilder):\n\n def define_translator(self) ->None:\n self._... | [
1,
2,
3,
4
] |
"""
Test 1, problem 1.
Authors: David Mutchler, Dave Fisher, Valerie Galluzzi, Amanda Stouder,
their colleagues and Nathan Gupta. March 2016.
""" # DONE: 1. PUT YOUR NAME IN THE ABOVE LINE.
def main():
""" Calls the TEST functions in this module. """
test_problem1a()
test_problem1b()
t... | normal | {
"blob_id": "ca6a9656efe439c9e90f2724e38e652a09e46dae",
"index": 7686,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef is_palindrome(n):\n \"\"\"\n What comes in: An non-negative integer n.\n What goes out: Returns True if the given integer is a palindrome,\n that is, if it reads t... | [
0,
5,
9,
10,
11
] |
# 파이썬 딕셔너리
# 범용적으로 가장 많이 사용되는 타입
# key와 value의 대용관계 type
# 순서 X, key 중복 X, 수정 O, 삭제 O
# {}
# class란 실세계(오브젝트)의 명사,동사적인 특징들을 추상화시키는 것, 즉 프로그램 내 인스턴트(객체)를 추출하는 템플릿이다
# class는 틀이고 인스턴스는 틀에의해 만들어지는 결과물.하여 instance.class()로 표현
#temp = {}
#print(type(temp))
dic01 = {'name' : 'seop',
'age' : 48,
... | normal | {
"blob_id": "d1077107a5cd3a9f489f74b030a698b0521841f3",
"index": 7721,
"step-1": "<mask token>\n",
"step-2": "dic01 = {'name': 'seop', 'age': 48, 'address': 'seoul', 'birth': '730919',\n 'gender': True}\ndic02 = dict([('name', 'seop'), ('age', 48), ('address', 'seoul'), ('birth',\n '730919'), ('gender', ... | [
0,
1,
2
] |
###########Seq_Profile_Blast_Parser_tool################################
import csv
import time
import re
import os
import sys
from collections import Counter
import operator
from fractions import *
import glob
import ntpath
from collections import defaultdict
path = open('config.txt').read().splitlines()[0].split('... | normal | {
"blob_id": "7eb8fe491a88bcfadf2a38eaa158b74b21514a1c",
"index": 8431,
"step-1": "###########Seq_Profile_Blast_Parser_tool################################\nimport csv\nimport time\nimport re\nimport os\nimport sys\nfrom collections import Counter\nimport operator\nfrom fractions import *\nimport glob\nimport ntp... | [
0
] |
import multiprocessing
import time
def foo():
time.sleep(0.1)
p = multiprocessing.Process(target=foo)
p.start()
print("process running: ", p, p.is_alive())
p.terminate()
print("process running: ", p, p.is_alive())
p.join()
print("process running: ", p, p.is_alive())
print("process exit code:", p.exitcode)
| normal | {
"blob_id": "19aad7d45416e311530aa2ce3e854cf1f65d18f5",
"index": 960,
"step-1": "<mask token>\n\n\ndef foo():\n time.sleep(0.1)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef foo():\n time.sleep(0.1)\n\n\n<mask token>\np.start()\nprint('process running: ', p, p.is_alive())\np.terminate()\nprint('... | [
1,
2,
3,
4,
5
] |
import itertools
def possibleNumber(digitSet, n):
res = [[]]
pools = [digitSet] * n
# print(pools)
for pool in pools:
# print(res)
res = [ x + [y] for x in res for y in pool]
for prod in res:
yield prod
# def possibleNumber(digitSet, n):
# res = []
# temp = itertoo... | normal | {
"blob_id": "fcc6dd61b94d5fa7f088fc75b748d976d1b30fa5",
"index": 1781,
"step-1": "<mask token>\n\n\ndef possibleNumber(digitSet, n):\n res = [[]]\n pools = [digitSet] * n\n for pool in pools:\n res = [(x + [y]) for x in res for y in pool]\n for prod in res:\n yield prod\n\n\n<mask token... | [
1,
2,
3,
4,
5
] |
__version__ = '3.13.7'
| normal | {
"blob_id": "01852f6dbeb78df3098b14d2f0538ad9193ea511",
"index": 9873,
"step-1": "<mask token>\n",
"step-2": "__version__ = '3.13.7'\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
'''Module for generating and plotting networks.'''
from trafpy.generator.src import tools
import copy
import networkx as nx
import matplotlib.pyplot as plt
import json
def gen_arbitrary_network(num_eps,
ep_label=None,
ep_capacity=12500,
... | normal | {
"blob_id": "4cf2829282cb0a1673e741f78f17ce27a2817ff2",
"index": 651,
"step-1": "<mask token>\n\n\ndef gen_arbitrary_network(num_eps, ep_label=None, ep_capacity=12500,\n num_channels=1, racks_dict=None, topology_type=None):\n \"\"\"Generates an arbitrary network with num_eps nodes labelled as ep_label.\n\n... | [
11,
12,
13,
15,
16
] |
import os
CSRF_ENABLED = True
basedir = os.path.abspath(os.path.dirname(__file__))
# Heroku vs. Local Configs
if os.environ.get('HEROKU') is None:
# Database path
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db')
# CSRF Key
SECRET_KEY = os.urandom(24)
# Pocket API
CONSUM... | normal | {
"blob_id": "0656aba517023c003e837d5ad04daeb364f7fda8",
"index": 4688,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif os.environ.get('HEROKU') is None:\n SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db')\n SECRET_KEY = os.urandom(24)\n CONSUMER_KEY = '23571-333bb5dbab87... | [
0,
1,
2,
3,
4
] |
from django.views import generic
from .models import Project
class IndexView(generic.ListView):
template_name = "projects/index.html"
context_object_name = "projectz"
def get_queryset(self):
"""Return all projects."""
return Project.objects.all()
class DetailView(generic.DetailView):
... | normal | {
"blob_id": "23d15c719cd26ea67a032a91a3e73f0d8d3bcfd1",
"index": 6662,
"step-1": "<mask token>\n\n\nclass DetailView(generic.DetailView):\n model = Project\n template_name = 'projects/detail.html'\n",
"step-2": "<mask token>\n\n\nclass IndexView(generic.ListView):\n <mask token>\n <mask token>\n\n ... | [
2,
4,
5,
6,
7
] |
from abc import ABC, abstractmethod
class Shape(ABC): # Shape is a child class of ABC
@abstractmethod
def area(self):
pass
@abstractmethod
def perimeter(self):
pass
class Square(Shape):
def __init__(self, length):
self.length = length
square = Square(4)
# this will co... | normal | {
"blob_id": "520b9246c3c617b18ca57f31ff51051cc3ff51ca",
"index": 5517,
"step-1": "<mask token>\n\n\nclass Shape(ABC):\n\n @abstractmethod\n def area(self):\n pass\n <mask token>\n\n\nclass Square(Shape):\n\n def __init__(self, length):\n self.length = length\n\n\n<mask token>\n",
"ste... | [
4,
5,
6,
7,
8
] |
#encoding:utf-8
from flask import Flask
import config
from flask_rabbitmq import Queue, RabbitMQ
app = Flask(__name__)
app.config.from_object(config)
queue = Queue()
mq = RabbitMQ(app, queue)
from app import demo
| normal | {
"blob_id": "ccf9c389a65d1420e87deec2100e37bccdcb5539",
"index": 6323,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.config.from_object(config)\n<mask token>\n",
"step-3": "<mask token>\napp = Flask(__name__)\napp.config.from_object(config)\nqueue = Queue()\nmq = RabbitMQ(app, queue)\n<mask token>... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-06-07 12:30
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependenc... | normal | {
"blob_id": "c6c13ab24e4907eecf1db4fded28d4fc8126c834",
"index": 1170,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [migrations.sw... | [
0,
1,
2,
3,
4
] |
left_motor = 1563872856371375
right_motor = 7567382956378165
servo = 9275392915737265
def autonomous_setup():
print("Autonomous mode has started!")
Robot.run(autonomous_actions)
def autonomous_main():
pass
async def autonomous_actions():
print("Autonomous action sequence started")
await Actions.s... | normal | {
"blob_id": "a2d23c05e1ca04d25f5f5012881c4000e6316cb9",
"index": 2504,
"step-1": "left_motor = 1563872856371375\nright_motor = 7567382956378165\nservo = 9275392915737265\n\ndef autonomous_setup():\n print(\"Autonomous mode has started!\")\n Robot.run(autonomous_actions)\n\ndef autonomous_main():\n pass\... | [
0
] |
import socket
import struct
def parsing_ethernet_header(data):
ethernet_header=struct.unpack("!6c6c2s",data)
ether_dest = convert_ethernet_address(ethernet_header[0:6])
ether_src = convert_ethernet_address(ethernet_header[6:12])
ip_header="0x"+ethernet_header[12].hex()
print("=========ethernet hea... | normal | {
"blob_id": "9b715fb95e89804a57ea77a98face673b57220c6",
"index": 4494,
"step-1": "<mask token>\n\n\ndef parsing_ethernet_header(data):\n ethernet_header = struct.unpack('!6c6c2s', data)\n ether_dest = convert_ethernet_address(ethernet_header[0:6])\n ether_src = convert_ethernet_address(ethernet_header[6... | [
7,
8,
9,
10,
11
] |
"""social_website URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Clas... | normal | {
"blob_id": "bf1221bc9768cff2edb67e0e5f5cea0ee2dd64e5",
"index": 7740,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif settings.DEBUG:\n urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT\n )\n",
"step-3": "<mask token>\nurlpatterns = [path('admin/', admin.site.urls... | [
0,
1,
2,
3,
4
] |
from types import MappingProxyType
from typing import Any, Dict, Mapping, Type, TypeVar, Union
import yaml
from typing_extensions import Protocol
from mashumaro.serializer.base import DataClassDictMixin
DEFAULT_DICT_PARAMS = {
"use_bytes": False,
"use_enum": False,
"use_datetime": False,
}
EncodedData = ... | normal | {
"blob_id": "15edb1c051ccbc6f927c0a859288511f94a3d853",
"index": 986,
"step-1": "<mask token>\n\n\nclass Encoder(Protocol):\n <mask token>\n\n\nclass Decoder(Protocol):\n\n def __call__(self, packed: EncodedData, **kwargs) ->Dict[Any, Any]:\n ...\n\n\nclass DataClassYAMLMixin(DataClassDictMixin):\n\... | [
6,
7,
8,
9,
10
] |
# pick three names
names = ["Mia", "Francis", "Eva"]
# propmpt user for his/her name
print("Please enter your name:")
user_name = input()
if user_name in names:
print("Hi there, {}!".format(user_name))
else:
print("Who goes there?")
| normal | {
"blob_id": "59c33383365d10c108253f7b5a210d40718913a2",
"index": 9653,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('Please enter your name:')\n<mask token>\nif user_name in names:\n print('Hi there, {}!'.format(user_name))\nelse:\n print('Who goes there?')\n",
"step-3": "names = ['Mia', ... | [
0,
1,
2,
3
] |
import numpy
from scipy.spatial.distance import cosine
def similarity_metric(embedding1: numpy.ndarray, embedding2: numpy.ndarray
) ->float:
return numpy.nan_to_num(1 - cosine(embedding1, embedding2), 0)
| normal | {
"blob_id": "ec9f27b4313f72ae6eb7e8280d47de226aeb6bb1",
"index": 2270,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef similarity_metric(embedding1: numpy.ndarray, embedding2: numpy.ndarray\n ) ->float:\n return numpy.nan_to_num(1 - cosine(embedding1, embedding2), 0)\n",
"step-3": "import ... | [
0,
1,
2
] |
from .simulator import SpatialSIRSimulator as Simulator
from .util import Prior
from .util import PriorExperiment
from .util import Truth
from .util import log_likelihood
| normal | {
"blob_id": "4f06eddfac38574a0ae3bdd0ea2ac81291380166",
"index": 9987,
"step-1": "<mask token>\n",
"step-2": "from .simulator import SpatialSIRSimulator as Simulator\nfrom .util import Prior\nfrom .util import PriorExperiment\nfrom .util import Truth\nfrom .util import log_likelihood\n",
"step-3": null,
"s... | [
0,
1
] |
#!/bin/python3
# TODO: implement the stack O(N) version
'''
Naive: O(N^3) or sum_{k=1...N}( O(N^2 (N-K)) )
for each size N
for each window of size N in the array
traverse the window to find the max
Naive with heap: O(N^2 log N)
for each size N O(N)
traverse array and accumulate window of size N O(N... | normal | {
"blob_id": "dce7fd0c9ed8e1d433f9131a8d137c8dcca4ac56",
"index": 8307,
"step-1": "<mask token>\n\n\ndef riddle(lst):\n \"\"\"\n Holy fuck.\n\n Better summary than above of what's happening:\n\n Define an value `v` in the list to dominate a range of size `n`, including `v`\n itself, if `v` is smaller than ... | [
2,
3,
4,
5,
6
] |
import numpy as np
def get_train_batches(data_dir='/home/yunhan/batchified'):
"""
return a list or generator of (large) ndarrays,
in order to efficiently utilize GPU
"""
# todo: read in data that is preoprocessed
# Use batch 1 - 52 as train (60%), 53 - 71 as validation (20%), 72 - 89 a... | normal | {
"blob_id": "c04c38d78144b6f5d3e5af4ebe9ce430e882a367",
"index": 8014,
"step-1": "<mask token>\n\n\ndef get_evaluate_batches(data_dir='/home/yunhan/batchified'):\n \"\"\"\n return a list or generator of (large) ndarrays,\n in order to efficiently utilize GPU\n \"\"\"\n n = 18\n idx = np... | [
2,
4,
5,
6,
7
] |
import datetime
import pendulum
import requests
from prefect import task, Flow, Parameter
from prefect.engine.signals import SKIP
from prefect.tasks.notifications.slack_task import SlackTask
from prefect.tasks.secrets import Secret
city = Parameter(name="City", default="San Jose")
api_key = Secret("WEATHER_API_KEY")
... | normal | {
"blob_id": "7f52354487f85a0bf1783c8aa76f228ef17e6d6b",
"index": 5119,
"step-1": "<mask token>\n\n\n@task(max_retries=2, retry_delay=datetime.timedelta(seconds=5))\ndef pull_forecast(city, api_key):\n \"\"\"\n Extract the 5-day 3-hour forecast for the provided City.\n \"\"\"\n base_url = 'http://api.... | [
2,
3,
4,
5,
6
] |
sheik=['a','e','i','o','u','A','E','I','O','U']
s=raw_input()
if(s in sheik):
print('Vowel')
elif(s!=sheik):
print('Consonant')
else:
print('invalid')
| normal | {
"blob_id": "0fb8a9b1073446a62b46a802da69b66e78533c2a",
"index": 7293,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif s in sheik:\n print('Vowel')\nelif s != sheik:\n print('Consonant')\nelse:\n print('invalid')\n",
"step-3": "sheik = ['a', 'e', 'i', 'o', 'u', 'A', 'E', 'I', 'O', 'U']\ns = ... | [
0,
1,
2,
3
] |
'''
* @Author: Mohammad Fatha.
* @Date: 2021-09-17 19:50
* @Last Modified by: Mohammad Fatha
* @Last Modified time: 2021-09-17 19:55
* @Title: Gambler Game
'''
import random
def gamblerProblem():
"""
Description:
This function Simulates a gambler who start with stake and place fair 1 bets until
... | normal | {
"blob_id": "68904be892968d4a1d82a59a31b95a8133a30832",
"index": 8790,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef gamblerProblem():\n \"\"\"\n Description:\n This function Simulates a gambler who start with stake and place fair 1 bets until\n he/she goes broke (i.e. has no... | [
0,
1,
2,
3,
4
] |
DEFAULT_SERVER_LISTEN_PORT = 2011
DEFAULT_CLIENT_LISTEN_PORT = 2012
import pickle
import socket
from player import Player
from averageddata import *
import zlib
import g
import pygame
from collections import defaultdict
from periodic import Periodic
import random
from projectile import Projectile
TICKTIME = 0.05
cla... | normal | {
"blob_id": "b7be9fd366d03068a5d6c3cee703d579b9866fd3",
"index": 7992,
"step-1": "DEFAULT_SERVER_LISTEN_PORT = 2011\nDEFAULT_CLIENT_LISTEN_PORT = 2012\n\nimport pickle\nimport socket\nfrom player import Player\nfrom averageddata import *\nimport zlib\nimport g\nimport pygame\nfrom collections import defaultdict\... | [
0
] |
'''
多线程更新UI数据（在两个线程中传递数据）
'''
from PyQt5.QtCore import QThread , pyqtSignal, QDateTime
from PyQt5.QtWidgets import QApplication, QDialog, QLineEdit
import time
import sys
class BackendThread(QThread):
update_date = pyqtSignal(str)
def run(self):
while True:
data = QDateTime.current... | normal | {
"blob_id": "ec625bf57388281b3cbd464459fc3ad1c60b7db9",
"index": 3305,
"step-1": "<mask token>\n\n\nclass BackendThread(QThread):\n <mask token>\n\n def run(self):\n while True:\n data = QDateTime.currentDateTime()\n currentTime = data.toString('yyyy-MM-dd hh:mm:ss')\n ... | [
6,
7,
8,
9,
10
] |
#!/usr/bin/env python3
# coding=utf-8
# title :paramiko_sftp.py
# description :
# author :JackieTsui
# organization :pytoday.org
# date :1/16/18 9:22 PM
# email :jackietsui72@gmail.com
# notes :
# ==================================================
# Import the module n... | normal | {
"blob_id": "64cf6b03fb68be8a23c6e87c8d68d0a42db0eb54",
"index": 6451,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nparamiko.util.log_to_file('syslogin.log')\n<mask token>\nt.connect(username=jumpuser, password=jumppass)\n<mask token>\nsftp.put(localpath, remotepath)\nsftp.close()\n<mask token>\nssh.se... | [
0,
1,
2,
3,
4
] |
import random
import glob
import json
import time
from torch.utils.data import Dataset, DataLoader, SubsetRandomSampler
from SimpleDataLoader import CustomDataset, get_params_from_filename
import numpy as np
from DNN_model import Net
import torch.optim as optim
import torch.nn as nn
import torch
from tqdm import tqdm
... | normal | {
"blob_id": "1f63f9234596787e4859b740d3a7fbfaacc9c0c8",
"index": 9930,
"step-1": "<mask token>\n\n\ndef zero_pad(values, max_m):\n m = len(values)\n values += [0] * (max_m - m)\n\n\ndef solve_with_solver(values_copy, n):\n return xpress_solver(values_copy, n)\n\n\ndef solve_with_net(values_copy, n):\n ... | [
3,
5,
7,
9,
10
] |
##################
#Drawing Generic Rest of Board/
##################
def drawBoard(canvas,data):
canvas.create_rectangle(10,10,data.width-10,data.height-10, fill = "dark green")
canvas.create_rectangle(187, 160, 200, 550, fill = "white")
canvas.create_rectangle(187, 160, 561, 173, fill = "white")
can... | normal | {
"blob_id": "628e625be86053988cbaa3ddfe55f0538136e24d",
"index": 3599,
"step-1": "<mask token>\n",
"step-2": "def drawBoard(canvas, data):\n canvas.create_rectangle(10, 10, data.width - 10, data.height - 10, fill\n ='dark green')\n canvas.create_rectangle(187, 160, 200, 550, fill='white')\n can... | [
0,
1,
2,
3
] |
def dot_product(a, b):
ans = 0
for i in range(len(a)):
ans += a[i] * b[i]
return ans
n = int(input())
a = sorted(list(map(int, input().split())))
b = sorted(list(map(int, input().split())))
print(dot_product(a, b))
| normal | {
"blob_id": "fc273a286a462cb673edaa2de2ecc6b9ca631004",
"index": 9824,
"step-1": "<mask token>\n",
"step-2": "def dot_product(a, b):\n ans = 0\n for i in range(len(a)):\n ans += a[i] * b[i]\n return ans\n\n\n<mask token>\n",
"step-3": "def dot_product(a, b):\n ans = 0\n for i in range(l... | [
0,
1,
2,
3
] |
from typing import List
class Solution:
def destCity(self, paths: List[List[str]]) ->str:
departCity = set()
destCity = []
for i in paths:
if i[1] not in departCity:
destCity.append(i[1])
if i[0] in destCity:
destCity.remove(i[0])
... | normal | {
"blob_id": "03cc3bf37ea8d971550a89107161005901d842de",
"index": 2514,
"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 destCity(self, paths: List[List[str]]) ->str:\n departCity = set()\n dest... | [
0,
1,
2,
3
] |
import time
inputStr = """crruafyzloguvxwctqmphenbkd
srcjafyzlcguvrwctqmphenbkd
srijafyzlogbpxwctgmphenbkd
zrijafyzloguvxrctqmphendkd
srijabyzloguvowcqqmphenbkd
srijafyzsoguvxwctbmpienbkd
srirtfyzlognvxwctqmphenbkd
srijafyzloguvxwctgmphenbmq
senjafyzloguvxectqmphenbkd
srijafyeloguvxwwtqmphembkd
srijafyzlogurxtctqmpken... | normal | {
"blob_id": "9620479e9ac27c1c7833c9a31b9cb18408b8d361",
"index": 4019,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor string in inputList:\n hasDoubleDupes = False\n hasTripleDupes = False\n for char in string:\n numRepeatsChar = string.count(char)\n if numRepeatsChar == 2 and ... | [
0,
1,
2,
3,
4
] |
from setuptools import setup, find_packages
setup(name="sk_processor", packages=find_packages()) | normal | {
"blob_id": "de884413dcbd0e89e8bfcf5657fe189156d9a661",
"index": 1837,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='sk_processor', packages=find_packages())\n",
"step-3": "from setuptools import setup, find_packages\nsetup(name='sk_processor', packages=find_packages())\n",
"step-4": "fr... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Fetch screen scores with customizable search criteria
that can be tailored to match your own requirements
in tab format
"""
import requests
from core import config as cfg
screen_id = 178
request_url = cfg.BASE_URL + "/screen/" + str(screen_id)
# These parameters ca... | normal | {
"blob_id": "80c6dd1c76b3ac56f34e36f571e8db3927994311",
"index": 8162,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor row in screen:\n if row_count == 0:\n row_count = row_count + 1\n continue\n row = row.split('\\t')\n data[row[1]] = row\nprint(data['55299'])\nprint(data['5166... | [
0,
1,
2,
3,
4
] |
from numpy import sqrt
def Schout2ConTank(a, b, d):
# This function converts parameters from Schoutens notation to Cont-Tankov
# notation
## Code
th = d * b / sqrt(a ** 2 - b ** 2)
k = 1 / (d * sqrt(a ** 2 - b ** 2))
s = sqrt(d / sqrt(a ** 2 - b ** 2))
return th, k, s
| normal | {
"blob_id": "4dda122a8c3a2aab62bb202945f6fb9cb73cf772",
"index": 8330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef Schout2ConTank(a, b, d):\n th = d * b / sqrt(a ** 2 - b ** 2)\n k = 1 / (d * sqrt(a ** 2 - b ** 2))\n s = sqrt(d / sqrt(a ** 2 - b ** 2))\n return th, k, s\n",
"step... | [
0,
1,
2,
3
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 4 20:28:44 2019
@author: nicholustintzaw
"""
####################################################################################################
####################################################################################################... | normal | {
"blob_id": "5a2716fc7b4c0a56fbd0de5d45d71fb33320adf0",
"index": 2889,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nos.chdir(masterdir)\nexec(open('01_newqs_directory.py', 'r', encoding='utf8').read())\nexec(open('02_new_register.py', 'r', encoding='utf8').read())\nexec(open('03_moved_in.py', 'r', enco... | [
0,
1,
2,
3,
4
] |
import requests
import time
import urllib
import argparse
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from fake_useragent import UserAgent
from multiprocessing import Pool
from lxml.html import fromstring
import os, sys
#text = 'chowchowbaby'
#url='https... | normal | {
"blob_id": "142a2ba3ec2f6b35f4339ed9fffe7357c1a85fa0",
"index": 219,
"step-1": "<mask token>\n\n\ndef search(url):\n browser = webdriver.Chrome(executable_path=\n 'C:\\\\Users\\\\inaee\\\\Downloads\\\\chromedriver_win32\\\\chromedriver.exe')\n browser.get(url)\n time.sleep(1)\n element = brow... | [
1,
2,
3,
4,
5
] |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
__author__ = 'alexglenday'
def group(list_df: list, df_col_index: int=0, seaborn_context: str='poster'):
sns.set_context(seaborn_context)
df_labels = []
for df in list_df:
df_labels.append(df.columns[df_col_index])
df_al... | normal | {
"blob_id": "d2632461fcdc39509610b96d43dd1ec42dae362f",
"index": 5229,
"step-1": "<mask token>\n\n\ndef individual(list_df: list, seaborn_context: str='poster'):\n sns.set_context(seaborn_context)\n for df in list_df:\n df.plot()\n",
"step-2": "<mask token>\n\n\ndef group(list_df: list, df_col_ind... | [
1,
2,
3,
4
] |
import contextlib
import datetime
import fnmatch
import os
import os.path
import re
import subprocess
import sys
import click
import dataset
def get_cmd_output(cmd):
"""Run a command in shell, and return the Unicode output."""
try:
data = subprocess.check_output(cmd, shell=True, stderr=subprocess.STDO... | normal | {
"blob_id": "16446c2c5612a14d4364cbefb949da0b473f7454",
"index": 7934,
"step-1": "<mask token>\n\n\ndef analyze_commit(row):\n row['conventional'] = row['lax'] = False\n m = re.search(STRICT, row['subj'])\n if m:\n row['conventional'] = True\n else:\n m = re.search(LAX, row['subj'])\n ... | [
2,
6,
7,
8,
9
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 14 09:54:28 2020
@author: rushirajsinhparmar
"""
import matplotlib.pyplot as plt
from skimage import io
import numpy as np
from skimage.filters import threshold_otsu
import cv2
img = io.imread("texture.png", as_gray=True)
#######################... | normal | {
"blob_id": "ab6c3d3c6faa2d1fe5e064dbdebd8904b9434f15",
"index": 5214,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.imshow(img_var, cmap='gray')\n<mask token>\nplt.imshow(filtered_image, cmap='gray')\n<mask token>\nplt.imshow(entropy_img)\nplt.hist(entropy_img.flat, bins=100, range=(0, 7))\n<mask t... | [
0,
1,
2,
3,
4
] |
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