index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
9,300 | f5a474cdc8aa22322b252b980c0334a9db21bd5c | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 17:14:14 2018
@author: Winry
"""
import pandas as pd
# 显示所有的列
pd.set_option('display.max_columns', None)
# 读取数据
file_name = "data_11_8.csv"
file_open = open(file_name)
df = pd.read_csv(file_open)
file_open.close()
Newtaxiout_time = df['Newtaxiout_time']
time = df['t... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Thu Nov 8 17:14:14 2018\n\n@author: Winry\n\"\"\"\n\nimport pandas as pd\n# 显示所有的列\npd.set_option('display.max_columns', None)\n\n# 读取数据\nfile_name = \"data_11_8.csv\"\nfile_open = open(file_name)\ndf = pd.read_csv(file_open)\nfile_open.close()\n\nNewtaxiout_time = df['... | false |
9,301 | 244191087fcab2a6f03bf024708484b9838731ed | import sys
import pygame
import os
import random
import subprocess
FPS, NEWENEMYSPAWN, fst_spawn, not_paused, coins, enemies_count, killed, score = 50, 30, 2000, True, 0, 0, 0, 0
MiniG_rate, EnemyG_rate, MetalM_rate = 1, 5, 15
WEAPONS_LIST = ['Green laser gun', 'Purple laser gun', 'Plasma gun']
def load_i... | [
"import sys\r\nimport pygame\r\nimport os\r\nimport random\r\nimport subprocess\r\n\r\nFPS, NEWENEMYSPAWN, fst_spawn, not_paused, coins, enemies_count, killed, score = 50, 30, 2000, True, 0, 0, 0, 0\r\nMiniG_rate, EnemyG_rate, MetalM_rate = 1, 5, 15\r\nWEAPONS_LIST = ['Green laser gun', 'Purple laser gun', 'Plasma ... | false |
9,302 | 2d48a343ca7f0f8ba7de8b520aad71d774d9b4ba | # Copyright (c) 2016 EMC Corporation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | [
"# Copyright (c) 2016 EMC Corporation\n# All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# ... | false |
9,303 | b7687240413441e1d3ed0085e5953f8089cbf4c9 | # Generated by Django 2.1.7 on 2020-01-09 08:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('goods', '0004_auto_20200109_0713'),
]
operations = [
migrations.AlterField(
model_name='banner',
name='show_type',
... | [
"# Generated by Django 2.1.7 on 2020-01-09 08:19\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('goods', '0004_auto_20200109_0713'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='banner',\n ... | false |
9,304 | a9ea3db019435733b5782d69450942373bb828e5 | def calc(*numbers):
sum=0
for n in numbers:
sum=sum+n*n
return sum
print(calc(*[1,2,3])) | [
"def calc(*numbers):\n sum=0\n for n in numbers:\n sum=sum+n*n\n return sum\n\nprint(calc(*[1,2,3]))",
"def calc(*numbers):\n sum = 0\n for n in numbers:\n sum = sum + n * n\n return sum\n\n\nprint(calc(*[1, 2, 3]))\n",
"def calc(*numbers):\n sum = 0\n for n in numbers:\n ... | false |
9,305 | e99cf5a7058db984b323af1375003e4e21e36612 | import random
from connectfour.agents.monte_carlo import Node, MTCS
from connectfour.agents.agent import Agent
MAX_DEPTH = 3
class MonteCarloAgent(Agent):
def __init__(self, name):
super().__init__(name)
def get_move(self, board):
best_move = self.find_best_move(board)
return self._... | [
"import random\n\nfrom connectfour.agents.monte_carlo import Node, MTCS\nfrom connectfour.agents.agent import Agent\n\nMAX_DEPTH = 3\n\n\nclass MonteCarloAgent(Agent):\n def __init__(self, name):\n super().__init__(name)\n\n def get_move(self, board):\n best_move = self.find_best_move(board)\n ... | false |
9,306 | 9e814e3f1162e248c5d778c2df9960b199854a27 | n = int(input('Informe um numero: '))
print('----------------')
print('{} x {:2} = {:2}'.format(n, 1, 1*n))
print('{} x {:2} = {:2}'.format(n, 2, 2*n))
print('{} x {:2} = {:2}'.format(n, 3, 3*n))
print('{} x {:2} = {:2}'.format(n, 4, 4*n))
print('{} x {:2} = {:2}'.format(n, 5, 5*n))
print('{} x {:2} = {:2}'.format(n, 6... | [
"n = int(input('Informe um numero: '))\nprint('----------------')\nprint('{} x {:2} = {:2}'.format(n, 1, 1*n))\nprint('{} x {:2} = {:2}'.format(n, 2, 2*n))\nprint('{} x {:2} = {:2}'.format(n, 3, 3*n))\nprint('{} x {:2} = {:2}'.format(n, 4, 4*n))\nprint('{} x {:2} = {:2}'.format(n, 5, 5*n))\nprint('{} x {:2} = {:2}'... | false |
9,307 | 1cb320cf57823511b0398adce097b770b2131eb6 | import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ecommerce.settings.development')
application = get_asgi_application()
| [
"import os\n\nfrom django.core.asgi import get_asgi_application\n\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ecommerce.settings.development')\n\napplication = get_asgi_application()\n",
"import os\nfrom django.core.asgi import get_asgi_application\nos.environ.setdefault('DJANGO_SETTINGS_MODULE',\n 'ecom... | false |
9,308 | 88d0ced41a8f176a8a12bba6406b4162ea6dfc52 | import sqlite3
# cur.execute('CREATE TABLE admin(username TEXT,password TEXT)')
# conn.commit()
# cur.execute("INSERT INTO admin VALUES('nilesh','nilesh')")
# conn.commit()
def verif_admin(username, password):
try:
conn = sqlite3.connect('SuperMarket.db')
cur = conn.cursor()
print(usernam... | [
"import sqlite3\n\n\n# cur.execute('CREATE TABLE admin(username TEXT,password TEXT)')\n# conn.commit()\n# cur.execute(\"INSERT INTO admin VALUES('nilesh','nilesh')\")\n# conn.commit()\n\ndef verif_admin(username, password):\n try:\n conn = sqlite3.connect('SuperMarket.db')\n cur = conn.cursor()\n ... | false |
9,309 | 7e29220752b4a52be34cdf0c734695d1052d0414 | '''
Handprint module for handling credentials.
Authors
-------
Michael Hucka <mhucka@caltech.edu> -- Caltech Library
Copyright
---------
Copyright (c) 2018-2022 by the California Institute of Technology. This code
is open-source software released under a 3-clause BSD license. Please see the
file "LICENSE" for mor... | [
"'''\nHandprint module for handling credentials.\n\nAuthors\n-------\n\nMichael Hucka <mhucka@caltech.edu> -- Caltech Library\n\nCopyright\n---------\n\nCopyright (c) 2018-2022 by the California Institute of Technology. This code\nis open-source software released under a 3-clause BSD license. Please see the\nfile... | false |
9,310 | a75691af17f6d1effd469d5c2ded340c71521ee1 | from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.views import LoginView
from django.shortcuts import render
from django.views import View
from django.views.generic import CreateView
from resume.forms import NewResumeForm
from vacancy.forms import NewVacancyForm
class MenuView(View):
... | [
"from django.contrib.auth.forms import UserCreationForm\nfrom django.contrib.auth.views import LoginView\nfrom django.shortcuts import render\nfrom django.views import View\nfrom django.views.generic import CreateView\n\nfrom resume.forms import NewResumeForm\nfrom vacancy.forms import NewVacancyForm\n\n\nclass Men... | false |
9,311 | ca7b3b5df860d3c3fb0953857ad950affdcc671d | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('location', '0005_auto_20170303_1625'),
]
operations = [
migrations.RemoveField(
... | [
"# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('location', '0005_auto_20170303_1625'),\n ]\n\n operations = [\n migrations.Remov... | false |
9,312 | 499baaa8c739c1bd846edc944e510542d76bbed5 | from collections import deque
def my_queue(n=5):
return deque([],n)
pass
if __name__ == '__main__':
mq = my_queue()
for i in range(10):
mq.append(i)
print((i, list(mq)))
"""Queue size does not go beyond n int, this outputs:
(0, [0])
(1, [0, 1])
(2, [0, 1, 2])
(3, ... | [
"from collections import deque\n\ndef my_queue(n=5):\n return deque([],n)\n pass\n\n\nif __name__ == '__main__':\n mq = my_queue()\n for i in range(10):\n mq.append(i)\n print((i, list(mq)))\n\n \"\"\"Queue size does not go beyond n int, this outputs:\n (0, [0])\n (1, [0, 1])\n ... | false |
9,313 | d2754099adebdb4bd2b028fdf9015571ad773754 | """
챕터: day4
주제: 반복문(for문)
문제: 1에서 100까지 합을 구하여 출력하시오.
작성자: 한현수
작성일: 2018.9.20.
"""
result = 0
for i in range(101):
result += i
print(result) | [
"\"\"\"\n챕터: day4\n주제: 반복문(for문)\n문제: 1에서 100까지 합을 구하여 출력하시오.\n작성자: 한현수\n작성일: 2018.9.20.\n\"\"\"\nresult = 0\nfor i in range(101):\n result += i\nprint(result)",
"<docstring token>\nresult = 0\nfor i in range(101):\n result += i\nprint(result)\n",
"<docstring token>\n<assignment token>\nfor i in range(101... | false |
9,314 | 3c7280bbd23bd3472915da0760efbfd03bfe995d | # # -*- coding:utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )
import urllib
import urllib2
import cookielib
from excel import *
from user import *
List=[]
cookie = cookielib.CookieJar()
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookie))
postdata = urllib.urlencode({'zjh':user(0),'mm... | [
"# # -*- coding:utf-8 -*-\nimport sys\nreload(sys)\nsys.setdefaultencoding( \"utf-8\" )\nimport urllib\nimport urllib2\nimport cookielib\nfrom excel import *\nfrom user import *\n\nList=[]\ncookie = cookielib.CookieJar()\nopener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookie))\npostdata = urllib.urlencod... | false |
9,315 | 757a69f9ceaa3434c6d9f8b1fcdbadd991190f29 | # encoding = utf-8
import hmac
import time
from hashlib import sha1
def get_signature(now_):
# 签名由clientId,grantType,source,timestamp四个参数生成
h = hmac.new(
key='d1b964811afb40118a12068ff74a12f4'.encode('utf-8'),
digestmod=sha1)
grant_type = 'password'
client_id = 'c3cef7c66a1843f8b3a9e6a... | [
"# encoding = utf-8\nimport hmac\nimport time\nfrom hashlib import sha1\n\n\ndef get_signature(now_):\n # 签名由clientId,grantType,source,timestamp四个参数生成\n h = hmac.new(\n key='d1b964811afb40118a12068ff74a12f4'.encode('utf-8'),\n digestmod=sha1)\n grant_type = 'password'\n client_id = 'c3cef7... | false |
9,316 | f276e33cde2e043fc8f81403e499544aa816a639 | class Member:
not_allowed_name = ["Shit", "Hell", "Baloot"]
users_num = 0
def __init__(self, first_name, middle_name, last_name, gender):
self.fname = first_name
self.mname = middle_name
self.lname = last_name
self.gender = gender
Member.users_num += 1
@classm... | [
"class Member:\n not_allowed_name = [\"Shit\", \"Hell\", \"Baloot\"]\n users_num = 0\n\n def __init__(self, first_name, middle_name, last_name, gender):\n\n self.fname = first_name\n self.mname = middle_name\n self.lname = last_name\n self.gender = gender\n\n Member.users... | false |
9,317 | 9d190face528d1a237f4c92bfb94a399f61a5af2 | import csv
import Feature_extraction as urlfeature
import trainer as tr
import warnings
warnings.filterwarnings("ignore")
def resultwriter(feature, output_dest):
flag = True
with open(output_dest, 'w') as f:
for item in feature:
w = csv.DictWriter(f, item[1].keys())
if flag:
... | [
"import csv\nimport Feature_extraction as urlfeature\nimport trainer as tr\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\n\ndef resultwriter(feature, output_dest):\n flag = True\n with open(output_dest, 'w') as f:\n for item in feature:\n w = csv.DictWriter(f, item[1].keys())\n ... | false |
9,318 | 282bccf20cfb114e31c5465c110819796bf81bc0 | from types import *
class Tokenizer:
def __init__(self, buf):
self.buf = buf
self.index = 0
def token(self):
return self.buf[self.index]
def move(self, value):
self.index += value
def skip_whitespaces(self):
while self.index < len(self.buf) and self.token().... | [
"from types import *\n\nclass Tokenizer:\n def __init__(self, buf):\n self.buf = buf\n self.index = 0\n\n def token(self):\n return self.buf[self.index]\n\n def move(self, value):\n self.index += value\n\n def skip_whitespaces(self):\n while self.index < len(self.buf... | false |
9,319 | 9fff345dedcfc7051a258bc471acf07aece95bcf | import sys
from photo_dl.request import request
from photo_dl.request import MultiRequest
class Jav_ink:
def __init__(self):
self.parser_name = 'jav_ink'
self.domain = 'https://www.jav.ink'
self.album_flag = {}
@staticmethod
def category2albums(category_url):
category_url ... | [
"import sys\nfrom photo_dl.request import request\nfrom photo_dl.request import MultiRequest\n\n\nclass Jav_ink:\n def __init__(self):\n self.parser_name = 'jav_ink'\n self.domain = 'https://www.jav.ink'\n self.album_flag = {}\n\n @staticmethod\n def category2albums(category_url):\n ... | false |
9,320 | e714755d660ba809f7958cad4f0b9f95b0a0ffdc | from django.apps import AppConfig
class SmashbotspainConfig(AppConfig):
name = 'smashbotspain'
| [
"from django.apps import AppConfig\n\n\nclass SmashbotspainConfig(AppConfig):\n name = 'smashbotspain'\n",
"<import token>\n\n\nclass SmashbotspainConfig(AppConfig):\n name = 'smashbotspain'\n",
"<import token>\n\n\nclass SmashbotspainConfig(AppConfig):\n <assignment token>\n",
"<import token>\n<clas... | false |
9,321 | 795bd22fb805069b342915638c52900ea52a4939 | from UI.Window import Window
class PolygonApplication:
def __init__(self):
self.window = Window("Détermination des périmètre, surface et centre de gravité d'un polygone")
self.window.addMouseClickListener(self.window.onClick)
def start(self):
self.window.show()
| [
"from UI.Window import Window\n\n\nclass PolygonApplication:\n def __init__(self):\n self.window = Window(\"Détermination des périmètre, surface et centre de gravité d'un polygone\")\n self.window.addMouseClickListener(self.window.onClick)\n\n def start(self):\n self.window.show()\n",
"... | false |
9,322 | bffd211a2d2dc3dd9b596f69909be7f0437ab0c8 | import nltk
tw_dict = {'created_at':[],
'id':[],
'id_str':[],
'full_text':[],
'entities':[],
'source':[],
'user':[],
'lang':[]}
def Preprocessing(instancia):
# Remove caracteres indesejados.
instancia = re... | [
"import nltk\n\ntw_dict = {'created_at':[],\n 'id':[],\n 'id_str':[],\n 'full_text':[],\n 'entities':[],\n 'source':[],\n 'user':[],\n 'lang':[]}\n\ndef Preprocessing(instancia):\n # Remove caracteres indesejados.\n... | false |
9,323 | 842f8b4de0378a2c83d22f3fd54ba4857d249597 | PRECISAO = 3
MAX_ITER = 20
def gauss_jacobi(entrada,*valores_iniciais):
tamanho = len(entrada[0])
variaveis = [*valores_iniciais[:tamanho]]
variaveism1 = [None] * (tamanho-1)
for _ in range(0,MAX_ITER):
print(variaveis)
for linha in range(tamanho-1):
soma = 0
for coluna in range(... | [
"PRECISAO = 3\r\nMAX_ITER = 20\r\n\r\ndef gauss_jacobi(entrada,*valores_iniciais):\r\n tamanho = len(entrada[0])\r\n variaveis = [*valores_iniciais[:tamanho]]\r\n variaveism1 = [None] * (tamanho-1)\r\n for _ in range(0,MAX_ITER):\r\n print(variaveis)\r\n for linha in range(tamanho-1):\r\n soma = 0\r\... | false |
9,324 | 9bd6da909baeb859153e3833f0f43d8cbcb66200 | # coding=utf-8
import sys
if len(sys.argv) == 2:
filepath = sys.argv[1]
pRead = open(filepath,'r')#wordlist.txt
pWrite = open("..\\pro\\hmmsdef.mmf",'w')
time = 0
for line in pRead:
if line != '\n':
line = line[0: len(line) - 1] #去除最后的\n
if line == "sil ":
... | [
"# coding=utf-8\nimport sys\nif len(sys.argv) == 2:\n filepath = sys.argv[1]\n pRead = open(filepath,'r')#wordlist.txt\n pWrite = open(\"..\\\\pro\\\\hmmsdef.mmf\",'w')\n time = 0\n for line in pRead:\n if line != '\\n':\n line = line[0: len(line) - 1] #去除最后的\\n\n if line... | true |
9,325 | 65bfb59a255b42854eec8b55b28711737cfc46c2 | #basic API start
from flask import Flask, jsonify, abort, request
from cruiseItem import cruiseItem
from sqlalchemy import create_engine
from json import dumps
db_connect = create_engine('sqlite:///Carnivorecruise.sqlite')
app = Flask(__name__)
app.json_encoder.default = lambda self, o: o.to_joson()
app.app_c... | [
"#basic API start\r\nfrom flask import Flask, jsonify, abort, request\r\nfrom cruiseItem import cruiseItem\r\nfrom sqlalchemy import create_engine\r\nfrom json import dumps\r\n\r\ndb_connect = create_engine('sqlite:///Carnivorecruise.sqlite')\r\napp = Flask(__name__)\r\napp.json_encoder.default = lambda self, o: o.... | false |
9,326 | f9310aa6c26ec10041dac272fa17ac21f74c21ac | # -*- coding: utf-8 -*-
from wordcloud import WordCloud, ImageColorGenerator
import numpy as np
from PIL import Image
def word2cloud(text: str, mask_image: Image=None):
if mask_image == None:
wc = WordCloud(font_path='simhei.ttf', width=800, height=600, mode='RGBA',
background_color=... | [
"# -*- coding: utf-8 -*-\nfrom wordcloud import WordCloud, ImageColorGenerator\nimport numpy as np\nfrom PIL import Image\n\ndef word2cloud(text: str, mask_image: Image=None):\n if mask_image == None:\n wc = WordCloud(font_path='simhei.ttf', width=800, height=600, mode='RGBA',\n back... | false |
9,327 | f23bc0c277967d8e7a94a49c5a81ed5fb75d36cc | from mpi4py import MPI
import matplotlib
from tmm import coh_tmm
import pandas as pd
import os
from numpy import pi
from scipy.interpolate import interp1d
from joblib import Parallel, delayed
import numpy as np
import glob
import matplotlib.pyplot as plt
import pickle as pkl
import seaborn as sns
from scipy.optimize im... | [
"from mpi4py import MPI\nimport matplotlib\nfrom tmm import coh_tmm\nimport pandas as pd\nimport os\nfrom numpy import pi\nfrom scipy.interpolate import interp1d\nfrom joblib import Parallel, delayed\nimport numpy as np\nimport glob\nimport matplotlib.pyplot as plt\nimport pickle as pkl\nimport seaborn as sns\nfrom... | false |
9,328 | 83bbb6433d1577be869bf840bdd42aa86e415da6 | from flask import Flask, render_template
app = Flask(__name__)
@app.route("/")
def index():
headline = "Hello world from a variable!"
# headline de la izq es el nombre de la variable en la vista
# headline de la der es el nombre de la variable en el server
return render_template("index.html", headline... | [
"from flask import Flask, render_template\n\napp = Flask(__name__)\n\n@app.route(\"/\")\ndef index():\n headline = \"Hello world from a variable!\"\n # headline de la izq es el nombre de la variable en la vista\n # headline de la der es el nombre de la variable en el server\n return render_template(\"in... | false |
9,329 | 1158ab95ac67d62459284267a8cc9f587daf89b1 | from zipfile import ZipFile
import reference_new_stdds
import reader
import os
def runall(path):
print("==========================")
"""get the current path """
abs_file_path = os.path.abspath(__file__)
parent_dir = os.path.dirname(abs_file_path)
parent_dir = os.path.dirname(parent_dir)
""" ... | [
"from zipfile import ZipFile\n\nimport reference_new_stdds\n\nimport reader\nimport os\n\ndef runall(path):\n print(\"==========================\")\n \"\"\"get the current path \"\"\"\n abs_file_path = os.path.abspath(__file__)\n parent_dir = os.path.dirname(abs_file_path)\n parent_dir = os.path.dirn... | false |
9,330 | 39fb8d9f93be1e6c1ed2a425d14061737d643ab6 | from .hailjwt import JWTClient, get_domain, authenticated_users_only
__all__ = [
'JWTClient',
'get_domain',
'authenticated_users_only'
]
| [
"from .hailjwt import JWTClient, get_domain, authenticated_users_only\n\n__all__ = [\n 'JWTClient',\n 'get_domain',\n 'authenticated_users_only'\n]\n",
"from .hailjwt import JWTClient, get_domain, authenticated_users_only\n__all__ = ['JWTClient', 'get_domain', 'authenticated_users_only']\n",
"<import t... | false |
9,331 | 94348aed0585024c70062e9201fb41aae2122625 | # NumPy(Numerical Python) 是 Python 语言的一个扩展程序库，
# 支持大量的维度数组与矩阵运算，此外也针对数组运算提供大量的数学函数库。 | [
"# NumPy(Numerical Python) 是 Python 语言的一个扩展程序库，\r\n# 支持大量的维度数组与矩阵运算，此外也针对数组运算提供大量的数学函数库。",
""
] | false |
9,332 | 13e89e13f88ac306a62be3390f5292665f128a4d | #encoding: utf-8
"""
Desc:
Author: Makoto OKITA
Date: 2016/09/03
"""
import numpy as np
import chainer
from chainer import cuda, Function, gradient_check, Variable, optimizers, serializers, utils
from chainer import Link, Chain, ChainList
import chainer.functions as F
import chainer.links as L
import itertools
... | [
"#encoding: utf-8\n\"\"\"\nDesc: \nAuthor: Makoto OKITA\nDate: 2016/09/03 \n\"\"\"\nimport numpy as np\nimport chainer\nfrom chainer import cuda, Function, gradient_check, Variable, optimizers, serializers, utils\nfrom chainer import Link, Chain, ChainList\nimport chainer.functions as F\nimport chainer.links ... | true |
9,333 | 1983340b3ce7ba8b631ba090871bea1ef7044943 |
import sys
from pypsi.pipes import ThreadLocalStream
from pypsi.shell import Shell
from pypsi.core import pypsi_print
from nose.tools import *
class PypsiTestShell(Shell):
pass
class TestShellBootstrap(object):
def setUp(self):
self.real_stdout = sys.stdout
self.real_stderr = sys.stderr
... | [
"\nimport sys\nfrom pypsi.pipes import ThreadLocalStream\nfrom pypsi.shell import Shell\nfrom pypsi.core import pypsi_print\nfrom nose.tools import *\n\n\n\nclass PypsiTestShell(Shell):\n pass\n\n\nclass TestShellBootstrap(object):\n\n def setUp(self):\n self.real_stdout = sys.stdout\n self.real... | false |
9,334 | 88d8d04dd7117daed0e976f3abc52c5d7bf18434 | import logging
import os
from os.path import exists, abspath, join, dirname
from os import mkdir
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["MP_NUM_THREADS"] = "1"
from smallab.runner_implementations.multiprocessing_runner import MultiprocessingRunner
from plannin_experiment import PlanningExperiment
mpl_logger ... | [
"import logging\nimport os\nfrom os.path import exists, abspath, join, dirname\nfrom os import mkdir\nos.environ[\"MKL_NUM_THREADS\"] = \"1\"\nos.environ[\"MP_NUM_THREADS\"] = \"1\"\n\nfrom smallab.runner_implementations.multiprocessing_runner import MultiprocessingRunner\n\nfrom plannin_experiment import PlanningE... | false |
9,335 | ccb3ec8e367881710c437e7ae53082a1bb0137e5 | from pylab import *
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import random
import time
from scipy.misc import imread
from scipy.misc import imresize
import matplotlib.image as mpimg
import os
from scipy.ndimage import filters
import urllib
import sys
from PIL import Image
fro... | [
"from pylab import *\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.cbook as cbook\nimport random\nimport time\nfrom scipy.misc import imread\nfrom scipy.misc import imresize\nimport matplotlib.image as mpimg\nimport os\nfrom scipy.ndimage import filters\nimport urllib\nimport sys\n\nfrom P... | true |
9,336 | 8e71ea23d04199e8fb54099c404c5a4e9af6c4b1 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats
import datetime
#takes in a sorted data frame holding the actuals, the predicted values (sorted descending) and the percentile of each obsevation
#and returns a new dataframe with all of the appropriate calculations
... | [
"import numpy as np\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nfrom scipy import stats\r\nimport datetime\r\n\r\n#takes in a sorted data frame holding the actuals, the predicted values (sorted descending) and the percentile of each obsevation\r\n#and returns a new dataframe with all of the appropr... | false |
9,337 | c0c8f40e43f1c27f8efa47cfc366c6076b77b9c9 | import sys
minus = "-"
plus = "+"
divis = "/"
multi = "*"
power = "^"
unary = "-"
br_op = "("
br_cl = ")"
operations = [power, divis, multi, minus, plus]
digits = ['1','2','3','4','5','6','7','8','9','0','.']
def find_close_pos(the_string):
open_count = 0
close_count = 0
for i in range(len(the_string)):
if the... | [
"import sys\n\nminus = \"-\"\nplus = \"+\"\ndivis = \"/\"\nmulti = \"*\"\npower = \"^\"\nunary = \"-\"\nbr_op = \"(\"\nbr_cl = \")\"\n\noperations = [power, divis, multi, minus, plus]\ndigits = ['1','2','3','4','5','6','7','8','9','0','.']\n\ndef find_close_pos(the_string):\n\topen_count = 0\n\tclose_count = 0\n\t... | true |
9,338 | 2027904401e5be7b1c95eebec3a1e6a88c25660c | from Socket import Socket
import threading
class Server(Socket):
def __init__(self):
super(Server, self).__init__()
print("server listening")
self.users = []
def set_up(self):
self.bind(("192.168.0.109", 1337))
self.listen(0)
self.accept_sockets()
def sen... | [
"from Socket import Socket\nimport threading\n\nclass Server(Socket):\n def __init__(self):\n super(Server, self).__init__()\n\n print(\"server listening\")\n\n self.users = []\n\n def set_up(self):\n self.bind((\"192.168.0.109\", 1337))\n self.listen(0)\n self.accept... | false |
9,339 | 00ed68c68d51c5019fde0c489cd133be3d6985c3 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 21 12:39:59 2015
@author: user
Needs to be run after the basic analysis which loads all the data into workspace
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def AverageLeftRight(EyeData):
#Take the average of two eyes to get more accurate gaz... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Aug 21 12:39:59 2015\n\n@author: user\nNeeds to be run after the basic analysis which loads all the data into workspace\n\"\"\"\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\ndef AverageLeftRight(EyeData):\n#Take the average of two eyes to... | false |
9,340 | 56e8cdec854b3b7a2f925e70d7d59a73b76f9952 | from collections import defaultdict
from mask import Mask
from utils import bits_to_decimal
def get_program(filename):
program = []
mask = None
with open(filename, 'r') as f:
for line in f:
line = line[:-1]
if 'mask' in line:
if mask is not None:
... | [
"from collections import defaultdict\n\nfrom mask import Mask\nfrom utils import bits_to_decimal\n\n\ndef get_program(filename):\n program = []\n mask = None\n with open(filename, 'r') as f:\n for line in f:\n line = line[:-1]\n if 'mask' in line:\n if mask is no... | false |
9,341 | 39475626b7e3e0f4c8143b300c002a2eb50cc23a | """Gaussian mixture model, with Stochastic EM algorithm."""
import numpy as np
from sklearn.mixture.gaussian_mixture import _estimate_gaussian_parameters, _compute_precision_cholesky
from Core.gllim import MyGMM
class SEMGaussianMixture(MyGMM):
"""Remarque : on utilise la variable Y pour les observations, au li... | [
"\"\"\"Gaussian mixture model, with Stochastic EM algorithm.\"\"\"\n\nimport numpy as np\nfrom sklearn.mixture.gaussian_mixture import _estimate_gaussian_parameters, _compute_precision_cholesky\n\nfrom Core.gllim import MyGMM\n\n\nclass SEMGaussianMixture(MyGMM):\n \"\"\"Remarque : on utilise la variable Y pour ... | false |
9,342 | f1fdba1c07a29aa22ee8d0dcbd6f902aa2e8b4c2 | from django.shortcuts import render, HttpResponse, redirect
from ..login.models import *
from ..dashboard.models import *
def display(request, id):
context = {
'job': Job.objects.get(id=int(id))
}
return render(request, 'handy_helper_exam/display.html', context)
| [
"from django.shortcuts import render, HttpResponse, redirect\nfrom ..login.models import *\nfrom ..dashboard.models import *\n\ndef display(request, id):\n context = {\n 'job': Job.objects.get(id=int(id))\n }\n\n return render(request, 'handy_helper_exam/display.html', context)\n",
"from django.sh... | false |
9,343 | df19aa720993c2385a6d025cf7ec8f3935ee4191 | ####################################################################
# a COM client coded in Python: talk to MS-Word via its COM object
# model; uses either dynamic dispatch (run-time lookup/binding),
# or the static and faster type-library dispatch if makepy.py has
# been run; install the windows win32all extensions... | [
"####################################################################\n# a COM client coded in Python: talk to MS-Word via its COM object\n# model; uses either dynamic dispatch (run-time lookup/binding), \n# or the static and faster type-library dispatch if makepy.py has \n# been run; install the windows win32all e... | false |
9,344 | c4898f3298c2febed476f99fe08bc5386527a47e | """
Convert file containing histograms into the response function
"""
import h5py
import wx
import numpy as np
import matplotlib.pyplot as plt
#############################################################################
# Select the file cantoning histograms,
# which will be converted to response function
app = wx.A... | [
"\"\"\"\nConvert file containing histograms into the response function\n\"\"\"\nimport h5py\nimport wx\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n#############################################################################\n# Select the file cantoning histograms, \n# which will be converted to respons... | false |
9,345 | 7cd6a8a106c21e8e377666d584e19d30c607b7d2 | # import os,sys
# BASE_DIR=os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# sys.path.append(BASE_DIR)
from lib import common
from conf import settings
import random
import pickle
import os
import xlrd
import time
class Base:
def save(self):
file_path=r'%s/%s' %(self.DB_PATH,self.id)
p... | [
"# import os,sys\n# BASE_DIR=os.path.dirname(os.path.dirname(os.path.abspath(__file__)))\n# sys.path.append(BASE_DIR)\n\nfrom lib import common\nfrom conf import settings\nimport random\nimport pickle\nimport os\nimport xlrd\nimport time\n\nclass Base:\n def save(self):\n file_path=r'%s/%s' %(self.DB_PATH... | false |
9,346 | f4e287f5fce05e039c54f1108f6e73020b8d3d8f | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2015 RAPP
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#http://www.apache.org/licenses/LICENSE-2.0
# Unless required by app... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\n# Copyright 2015 RAPP\n\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n\n #http://www.apache.org/licenses/LICENSE-2.0\n\n# Unl... | false |
9,347 | 796fada5dcd45ace8240760ac7e9bad41953ab56 | """
Chess state handling model.
"""
from concurrent.futures import ThreadPoolExecutor
from itertools import count
from json import dumps
from .base_board import BaseBoard, NoBoard
from .table_board import TableBoard
from .table_game import TableGame
__all__ = ['Board', 'NoBoard']
class Board(BaseBoard):
"""
... | [
"\"\"\"\nChess state handling model.\n\"\"\"\n\nfrom concurrent.futures import ThreadPoolExecutor\nfrom itertools import count\nfrom json import dumps\n\nfrom .base_board import BaseBoard, NoBoard\nfrom .table_board import TableBoard\nfrom .table_game import TableGame\n\n__all__ = ['Board', 'NoBoard']\n\n\nclass Bo... | false |
9,348 | d4b432735a112ccb293bf2f40929846b4ce34cd0 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import optparse
import logging
from pyspark import SparkContext
from pyspark import SparkConf
logger = logging.getLogger(__name__)
def create_context(appName):
"""
Creates Spark HiveContext
"""
logger.info("Creating Spark context - may take some while")
... | [
"#!/usr/bin/python\n# -*- coding: utf-8 -*-\n\nimport optparse\nimport logging\n\nfrom pyspark import SparkContext\nfrom pyspark import SparkConf\n\nlogger = logging.getLogger(__name__)\n\n\ndef create_context(appName):\n \"\"\"\n Creates Spark HiveContext\n \"\"\"\n logger.info(\"Creating Spark context... | false |
9,349 | 1cd82883e9a73cfbe067d58c30659b9b2e5bf473 | data=[1,4,2,3,6,8,9,7]
def partition(data,l,h):
i=l
j=h
pivot=data[l]
while(i<j):
while(data[i]<=pivot and i<=h-1):
i=i+1
while(data[j]>pivot and j>=l+1):
j=j-1
if(i<j):
data[i],dat... | [
"data=[1,4,2,3,6,8,9,7]\r\n\r\ndef partition(data,l,h):\r\n i=l\r\n j=h\r\n pivot=data[l]\r\n\r\n while(i<j):\r\n while(data[i]<=pivot and i<=h-1):\r\n i=i+1\r\n \r\n\r\n while(data[j]>pivot and j>=l+1):\r\n\r\n j=j-1\r\n\r\n \r\n \r\n... | false |
9,350 | a325feba1c2bb588321429a045133d6eede9e8cf | #!/usr/bin/python
# pymd2mc.xyzfile
"""
"""
__author__ = 'Mateusz Lis'
__version__= '0.1'
from optparse import OptionParser
import sys
from time import time
from constants import R, T
from energyCalc import EnergyCalculator
from latticeProjector import LatticeProjectorSimple
from lattices import HexLattice
from ... | [
"#!/usr/bin/python\n# pymd2mc.xyzfile\n\"\"\"\n\n\"\"\"\n\n__author__ = 'Mateusz Lis'\n__version__= '0.1'\n\n\nfrom optparse import OptionParser\nimport sys\nfrom time import time\n\nfrom constants import R, T\nfrom energyCalc import EnergyCalculator\nfrom latticeProjector import LatticeProjectorSimple\nfrom latt... | true |
9,351 | 8e5d05d925d47a85ad7c211f26af7951be048d32 | import cv2
import numpy as np
import show_imgs as si
IMG_PATH = "../sample_imgs"
def blur():
image = cv2.imread(IMG_PATH + "/jjang.jpg")
kernel_sizes = [(1, 1), (3, 3), (5, 5), (7, 7), (7, 1), (1, 7)]
filter_imgs = {}
blur_imgs = {}
for ksize in kernel_sizes:
title = f"ksize: {ksize}"
... | [
"import cv2\nimport numpy as np\nimport show_imgs as si\nIMG_PATH = \"../sample_imgs\"\n\n\ndef blur():\n image = cv2.imread(IMG_PATH + \"/jjang.jpg\")\n kernel_sizes = [(1, 1), (3, 3), (5, 5), (7, 7), (7, 1), (1, 7)]\n filter_imgs = {}\n blur_imgs = {}\n for ksize in kernel_sizes:\n title = f... | false |
9,352 | 86c1aee21639958f707f99bc2468e952ad6c1859 | from app import config
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
engine = create_engine(config.DB_URI)
Session = scoped_session(sessionmaker(bind=engine))
| [
"from app import config\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.orm import scoped_session, sessionmaker\n\n\nengine = create_engine(config.DB_URI)\nSession = scoped_session(sessionmaker(bind=engine))\n",
"from app import config\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.orm import scope... | false |
9,353 | 1eeb7a539f43e9fb013494e2aa0d81b4eab0ae1a | import csv
from sys import argv
import re
import sys
datasave=[]
if len(argv) is not 3: #stop usage if not correct input
print('Usage: python dna.py data.csv sequence.txt')
sys.exit()
#open CSV file and save
with open (argv[1],'r') as csv_file:
datafile = csv.reader(csv_file)
line_count = 0
for ... | [
"import csv\nfrom sys import argv\nimport re\nimport sys\n\n\ndatasave=[]\n\nif len(argv) is not 3: #stop usage if not correct input\n print('Usage: python dna.py data.csv sequence.txt')\n sys.exit()\n\n#open CSV file and save\nwith open (argv[1],'r') as csv_file:\n datafile = csv.reader(csv_file)\n lin... | false |
9,354 | 1257b90781a213ca8e07f67a33b8e847d0525653 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Post(models.Model):
title = models.CharField(max_length=40)
content = models.TextField()
date_published = models.DateTimeField(auto_now=True)
author = models.ForeignKey(User, on_delete=models.CASCA... | [
"from django.db import models\nfrom django.contrib.auth.models import User\n\n# Create your models here.\nclass Post(models.Model):\n title = models.CharField(max_length=40)\n content = models.TextField()\n date_published = models.DateTimeField(auto_now=True)\n author = models.ForeignKey(User, on_delete... | false |
9,355 | 80bf208f1d658b639d650af8208a744ed2dd258f | import functools
import requests
import time
import argparse
class TracePoint:
classes = []
funcs = []
flow = []
@staticmethod
def clear():
TracePoint.classes = []
TracePoint.funcs = []
TracePoint.flow = []
def __init__(self, cls, func, t):
if cls not ... | [
"import functools\nimport requests\nimport time\nimport argparse\n\n\nclass TracePoint:\n classes = []\n funcs = []\n flow = []\n\n @staticmethod\n def clear():\n TracePoint.classes = []\n TracePoint.funcs = []\n TracePoint.flow = [] \n\n def __init__(self, cls, func, t... | false |
9,356 | 3e4771d074218fb0a77332ee61a4cc49f1c301b7 | # SPDX-License-Identifier: Apache-2.0
# Copyright (C) 2020 ifm electronic gmbh
#
# THE PROGRAM IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND.
#
"""
This module provides the recording control GUI service for the nexxT framework.
"""
import logging
from pathlib import Path
from nexxT.Qt.QtCore import Qt, QStorageInf... | [
"# SPDX-License-Identifier: Apache-2.0\n# Copyright (C) 2020 ifm electronic gmbh\n#\n# THE PROGRAM IS PROVIDED \"AS IS\" WITHOUT WARRANTY OF ANY KIND.\n#\n\n\"\"\"\nThis module provides the recording control GUI service for the nexxT framework.\n\"\"\"\n\nimport logging\nfrom pathlib import Path\nfrom nexxT.Qt.QtCo... | false |
9,357 | 59233cd45000cd6d6ad0876eb3812599392d7c05 | # -*- coding:utf-8 -*-
__author__ = 'leandro'
from datetime import *
from PyQt4 import QtGui, QtCore
from baseDatos.ventas.venta import NotaCredito
from gui import CRUDWidget,MdiWidget
from ventanas import Ui_vtnDevolucionDeCliente, Ui_vtnReintegroCliente, Ui_vtnVentaContado
from baseDatos.obraSocial import ObraSoc... | [
"# -*- coding:utf-8 -*-\n__author__ = 'leandro'\n\n\nfrom datetime import *\n\nfrom PyQt4 import QtGui, QtCore\n\nfrom baseDatos.ventas.venta import NotaCredito\nfrom gui import CRUDWidget,MdiWidget\nfrom ventanas import Ui_vtnDevolucionDeCliente, Ui_vtnReintegroCliente, Ui_vtnVentaContado\nfrom baseDatos.obraSocia... | true |
9,358 | 4efd22d132accd0f5945a0c911b73b67654b92e4 | from django.urls import path
from .views import FirstModelView
urlpatterns = [
path('firstModel', FirstModelView.as_view())
] | [
"from django.urls import path\nfrom .views import FirstModelView\n\nurlpatterns = [\n path('firstModel', FirstModelView.as_view())\n ]",
"from django.urls import path\nfrom .views import FirstModelView\nurlpatterns = [path('firstModel', FirstModelView.as_view())]\n",
"<import token>\nurlpatterns = [path('... | false |
9,359 | 5f1cbe1019f218d2aad616ea8bbe760ea760534c | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
# Add gumpy path
sys.path.append('../shared')
from gumpy import signal
import numpy as np
def preprocess_data(data, sample_rate=160, ac_freq=60, hp_freq=0.5, bp_low=2, bp_high=60, notch=False,
hp_filter=False, bp_filter=False, artifact_rem... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nimport sys\n\n# Add gumpy path\nsys.path.append('../shared')\nfrom gumpy import signal\nimport numpy as np\n\n\ndef preprocess_data(data, sample_rate=160, ac_freq=60, hp_freq=0.5, bp_low=2, bp_high=60, notch=False,\n hp_filter=False, bp_filter=Fa... | false |
9,360 | ae775e25179546156485e15d05491e010cf5daca | # encoding=utf8
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.common.exceptions import NoSuchElementException, ElementNotVisibleException
from selenium.webdriver.support.select import Select
import time
import threading
import random
import ... | [
"# encoding=utf8\n\nfrom selenium import webdriver\nfrom selenium.webdriver.common.desired_capabilities import DesiredCapabilities\nfrom selenium.common.exceptions import NoSuchElementException, ElementNotVisibleException\nfrom selenium.webdriver.support.select import Select\nimport time\nimport threading\nimport r... | false |
9,361 | 1b1b646a75fe2ff8d54e66d025b60bde0c9ed2d6 | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# ### Bài tập 1.
# - <ins>Yêu cầu</ins>: Ý tưởng cơ bản của thuật toán ``Support Vector Machine`` (``SVM``) là gì? Ý tưởng của thuật toán biên mềm (``soft margin``) ``SVM``. Nêu ý nghĩa của siêu tham số ``C`` trong bà... | [
"# To add a new cell, type '# %%'\n# To add a new markdown cell, type '# %% [markdown]'\n# %% [markdown]\n# ### Bài tập 1.\n# - <ins>Yêu cầu</ins>: Ý tưởng cơ bản của thuật toán ``Support Vector Machine`` (``SVM``) là gì? Ý tưởng của thuật toán biên mềm (``soft margin``) ``SVM``. Nêu ý nghĩa của siêu tham số ``C``... | false |
9,362 | c889fd081eb606dca08fade03aa0a4d32319f98d | import requests
import json
URL = 'https://www.sms4india.com/api/v1/sendCampaign'
# get request
def sendPostRequest(reqUrl, apiKey, secretKey, useType, phoneNo, senderId, textMessage):
req_params = {
'apikey':EON386947EGSUZ4VEMIL8AWQX8RQW6UH,
'secret':FB2K25JVMFPEM310,
'usetype':useType,
'p... | [
"import requests\r\nimport json\r\n\r\nURL = 'https://www.sms4india.com/api/v1/sendCampaign'\r\n\r\n\r\n\r\n\r\n# get request\r\ndef sendPostRequest(reqUrl, apiKey, secretKey, useType, phoneNo, senderId, textMessage):\r\n req_params = {\r\n 'apikey':EON386947EGSUZ4VEMIL8AWQX8RQW6UH,\r\n 'secret':FB2K25JVMFPEM310... | true |
9,363 | bf3e7f1aa9fd20b69e751da9ac8970c88b1144eb | """
Test the OOD-detection capabilities of models by scaling a random feature for all sample in the data set.
"""
# STD
import os
import pickle
from copy import deepcopy
from collections import defaultdict
import argparse
from typing import Tuple, Dict, List
# EXT
import numpy as np
from tqdm import tqdm
import torch... | [
"\"\"\"\nTest the OOD-detection capabilities of models by scaling a random feature for all sample in the data set.\n\"\"\"\n\n# STD\nimport os\nimport pickle\nfrom copy import deepcopy\nfrom collections import defaultdict\nimport argparse\nfrom typing import Tuple, Dict, List\n\n# EXT\nimport numpy as np\nfrom tqdm... | false |
9,364 | 28532fe798b6a764bec7ea511ba9e66a1d096b6f | #!/usr/bin/python
import argparse
import contextlib
import os.path
import shutil
import subprocess
import sys
import tempfile
from Bio import SeqIO
BOOTSTRAP_MODES = 'a',
# Some utilities
@contextlib.contextmanager
def sequences_in_format(sequences, fmt='fasta', **kwargs):
with tempfile.NamedTemporaryFile(**kwa... | [
"#!/usr/bin/python\n\nimport argparse\nimport contextlib\nimport os.path\nimport shutil\nimport subprocess\nimport sys\nimport tempfile\n\nfrom Bio import SeqIO\n\nBOOTSTRAP_MODES = 'a',\n\n# Some utilities\n@contextlib.contextmanager\ndef sequences_in_format(sequences, fmt='fasta', **kwargs):\n with tempfile.Na... | true |
9,365 | 7f7adc367e4f3b8ee721e42f5d5d0770f40828c9 | from setuptools import setup
import os.path
# Get the long description from the README file
with open('README.rst') as f:
long_description = f.read()
setup(name='logging_exceptions',
version='0.1.8',
py_modules=['logging_exceptions'],
author="Bernhard C. Thiel",
author_email="thiel@tbi.un... | [
"from setuptools import setup\nimport os.path\n\n# Get the long description from the README file\nwith open('README.rst') as f:\n long_description = f.read()\n\n\nsetup(name='logging_exceptions',\n version='0.1.8',\n py_modules=['logging_exceptions'],\n author=\"Bernhard C. Thiel\",\n author_... | false |
9,366 | ae27f97b5633309d85b9492e1a0f268847c24cd5 | import random
import numpy as np
import matplotlib.pyplot as plt
import torchvision
def plot_image(img, ax, title):
ax.imshow(np.transpose(img, (1,2,0)) , interpolation='nearest')
ax.set_title(title, fontsize=20)
def to_numpy(image, vsc):
return torchvision.utils.make_grid(
image.view(1, vsc.c... | [
"import random\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport torchvision\n\ndef plot_image(img, ax, title):\n ax.imshow(np.transpose(img, (1,2,0)) , interpolation='nearest')\n ax.set_title(title, fontsize=20)\n \ndef to_numpy(image, vsc):\n return torchvision.utils.make_grid(\n ima... | false |
9,367 | 60c3f6775d5112ff178bd3774c776819573887bb | import smtplib
import os
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from datetime import datetime
from threading import Thread
FROM = os.getenv('EMAIL_FROM')
TO = os.getenv('EMAIL_TO')
HOST = os.getenv('EMAIL_HOST')
PORT = os.getenv('EMAIL_PORT')
PASSWORD = os.getenv('EMAIL_PAS... | [
"import smtplib\nimport os\nfrom email.mime.multipart import MIMEMultipart\nfrom email.mime.text import MIMEText\nfrom datetime import datetime\nfrom threading import Thread\n\nFROM = os.getenv('EMAIL_FROM')\nTO = os.getenv('EMAIL_TO')\nHOST = os.getenv('EMAIL_HOST')\nPORT = os.getenv('EMAIL_PORT')\nPASSWORD = os.g... | false |
9,368 | 6b6b734c136f3c4ed5b2789ab384bab9a9ea7b58 | # Generated by Django 3.0.5 on 2020-05-02 18:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('weatherData', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='city',
name='username',
... | [
"# Generated by Django 3.0.5 on 2020-05-02 18:58\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('weatherData', '0001_initial'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='city',\n name='use... | false |
9,369 | da218e6d9ee311eefb8e9ae4dac5053793eb5514 | """
Class for manage tables in Storage and Big Query
"""
# pylint: disable=invalid-name, too-many-locals, too-many-branches, too-many-arguments,line-too-long,R0801,consider-using-f-string
from pathlib import Path
import json
from copy import deepcopy
import textwrap
import inspect
from io import StringIO
from loguru i... | [
"\"\"\"\nClass for manage tables in Storage and Big Query\n\"\"\"\n# pylint: disable=invalid-name, too-many-locals, too-many-branches, too-many-arguments,line-too-long,R0801,consider-using-f-string\nfrom pathlib import Path\nimport json\nfrom copy import deepcopy\nimport textwrap\nimport inspect\nfrom io import Str... | false |
9,370 | 5d97a2afed26ec4826c8bce30c84863d21f86001 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_security import SQLAlchemySessionUserDatastore, Security
app = Flask(__name__, instance_relative_config=True)
app.config.from_pyfile("config.py", silent=True)
db = SQLAlchemy(app)
from .blueprints.cart.views import cart_blueprint
from .bluepr... | [
"from flask import Flask\nfrom flask_sqlalchemy import SQLAlchemy\nfrom flask_security import SQLAlchemySessionUserDatastore, Security\n\napp = Flask(__name__, instance_relative_config=True)\napp.config.from_pyfile(\"config.py\", silent=True)\n\ndb = SQLAlchemy(app)\n\nfrom .blueprints.cart.views import cart_bluepr... | false |
9,371 | d28571214805df766c2cc2f45a6b5bea88d7ac18 | #!/usr/bin/env python
from setuptools import setup, find_packages
#if sys.argv[-1] == 'publish':
# os.system('python setup.py sdist upload')
# sys.exit()
with open('bace/__init__.py') as fid:
for line in fid:
if line.startswith('__version__'):
VERSION = line.strip().split()[-1][1:-1]
... | [
"#!/usr/bin/env python\nfrom setuptools import setup, find_packages\n\n#if sys.argv[-1] == 'publish':\n# os.system('python setup.py sdist upload')\n# sys.exit()\n\nwith open('bace/__init__.py') as fid:\n for line in fid:\n if line.startswith('__version__'):\n VERSION = line.strip().split(... | false |
9,372 | 4ad4cf46be735c6ac26b5b0953d4c2458f37496a | import os, shutil, cv2
from PIL import Image
INP_DIR = '/dataset/test_set_A_full'
# Lọc thư mục data test ra thành 3 thư mục: None, Square (1:1), và phần còn lại (đã được crop ngay chính giữa)
# Trả về path dẫn đến 3 thư mục nói trên
def pre_proc(INP_DIR):
INP_DIR = INP_DIR + '/'
NONE_DIR = os.path.dirname(I... | [
"import os, shutil, cv2\nfrom PIL import Image\n\nINP_DIR = '/dataset/test_set_A_full'\n\n\n# Lọc thư mục data test ra thành 3 thư mục: None, Square (1:1), và phần còn lại (đã được crop ngay chính giữa)\n# Trả về path dẫn đến 3 thư mục nói trên\ndef pre_proc(INP_DIR):\n INP_DIR = INP_DIR + '/'\n NONE_DIR = os... | false |
9,373 | 02a1f84e72b412636d86b9bdb59856ae8c309255 | '''
Each new term in the Fibonacci sequence is generated by adding the previous two terms.
By starting with 1 and 2, the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do not exceed four million,
find the sum of the even-valued terms.
'... | [
"'''\nEach new term in the Fibonacci sequence is generated by adding the previous two terms. \nBy starting with 1 and 2, the first 10 terms will be:\n\n1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...\n\nBy considering the terms in the Fibonacci sequence whose values do not exceed four million, \nfind the sum of the even-val... | true |
9,374 | 601d32bf30aa454bbc7d31d6ce4b7296cef0fdfe | """Largest product in a series
Problem 8
The four adjacent digits in the 1000-digit number that have the greatest product
are 9 x 9 x 8 x 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
125406987471585238... | [
"\"\"\"Largest product in a series\nProblem 8\nThe four adjacent digits in the 1000-digit number that have the greatest product\nare 9 x 9 x 8 x 9 = 5832.\n\n73167176531330624919225119674426574742355349194934\n96983520312774506326239578318016984801869478851843\n85861560789112949495459501737958331952853208805511\n12... | true |
9,375 | 438fe1ccf265706e202d7cc6044e57590f29801f | import pytest
from eth_utils import encode_hex, remove_0x_prefix
from ethereum.tester import keys
import os
import json
from microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME
from microraiden.crypto import privkey_to_addr
@pytest.fixture
def contracts_relative_path():
return 'data/contrac... | [
"import pytest\nfrom eth_utils import encode_hex, remove_0x_prefix\nfrom ethereum.tester import keys\n\nimport os\nimport json\nfrom microraiden.client.client import CHANNEL_MANAGER_ABI_NAME, TOKEN_ABI_NAME\nfrom microraiden.crypto import privkey_to_addr\n\n\n@pytest.fixture\ndef contracts_relative_path():\n ret... | false |
9,376 | 9d2c0d59b0b2b4e4fca942e648059738053c53d0 | from setuptools import setup, find_packages
import sys, os
version = '0.1'
setup(
name='ckanext-MYEXTENSION',
version=version,
description="description",
long_description="""\
""",
classifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers
keywords='',
author='ldhspace',
author... | [
"from setuptools import setup, find_packages\nimport sys, os\n\nversion = '0.1'\n\nsetup(\n\tname='ckanext-MYEXTENSION',\n\tversion=version,\n\tdescription=\"description\",\n\tlong_description=\"\"\"\\\n\t\"\"\",\n\tclassifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers\n\tkeyword... | false |
9,377 | 8fbfa53be826b45b53b530a1766f6a68c61f5be9 | from tkinter import *
class Menuutje:
def __init__(self, master):
menu = Menu(master)
master.config(menu=menu)
subMenu = Menu(menu)
menu.add_cascade(label="File", menu=subMenu)
subMenu.add_command(label="New Game...", command=self.doNothing)
subMenu.add_command(la... | [
"from tkinter import *\n\n\nclass Menuutje:\n\n def __init__(self, master):\n menu = Menu(master)\n master.config(menu=menu)\n\n subMenu = Menu(menu)\n menu.add_cascade(label=\"File\", menu=subMenu)\n subMenu.add_command(label=\"New Game...\", command=self.doNothing)\n s... | true |
9,378 | 467327b98ab99bdad429943c701c751be4f67940 | import json
import sys
from copy import deepcopy
from argparse import ArgumentParser
# TODO: Ord category's IDs after deletion
def return_cat_name(json_coco, category):
"""Return the category name of a category ID
Arguments:
json_coco {dict} -- json dict file from coco file
category {int} --... | [
"import json\nimport sys\nfrom copy import deepcopy\nfrom argparse import ArgumentParser\n\n# TODO: Ord category's IDs after deletion\n\n\ndef return_cat_name(json_coco, category):\n \"\"\"Return the category name of a category ID\n\n Arguments:\n json_coco {dict} -- json dict file from coco file\n ... | false |
9,379 | 0f257d199ad0285d8619647434451841144af66d | #Tom Healy
#Adapted from Chris Albon https://chrisalbon.com/machine_learning/linear_regression/linear_regression_using_scikit-learn/
#Load the libraries we will need
#This is just to play round with Linear regression more that anything else
from sklearn.linear_model import LinearRegression
from sklearn.datasets import ... | [
"#Tom Healy\n#Adapted from Chris Albon https://chrisalbon.com/machine_learning/linear_regression/linear_regression_using_scikit-learn/\n#Load the libraries we will need\n#This is just to play round with Linear regression more that anything else\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.datase... | false |
9,380 | 17a442a85b910ff47c2f3f01242b7f64a6237146 | from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, Model
from keras.applications import InceptionV3
from keras.callbacks import ModelCheckpoint
from keras.optimizers import SGD
from keras.layers import Flatten,Dense,Dropout
from keras.preprocessing.image import img_to_a... | [
"from keras.preprocessing.image import ImageDataGenerator\r\nfrom keras.models import Sequential, Model\r\nfrom keras.applications import InceptionV3\r\nfrom keras.callbacks import ModelCheckpoint\r\nfrom keras.optimizers import SGD\r\nfrom keras.layers import Flatten,Dense,Dropout\r\nfrom keras.preprocessing.imag... | true |
9,381 | d23700f03e8498a5ff3d1d03d8808048ba79a56b | import os
from os import listdir
from openpyxl import load_workbook, Workbook
ROOT_PATH = os.getcwd()
# print(f'ROOT_PATH : {ROOT_PATH}')
CUR_PATH = os.path.dirname(os.path.abspath(__file__))
# print(f'CUR_PATH : {CUR_PATH}')
path = f'{ROOT_PATH}/xlsx_files'
files = listdir(path)
result_xlsx = Workbook()
result_sheet... | [
"import os\nfrom os import listdir\nfrom openpyxl import load_workbook, Workbook\n\nROOT_PATH = os.getcwd()\n# print(f'ROOT_PATH : {ROOT_PATH}')\nCUR_PATH = os.path.dirname(os.path.abspath(__file__))\n# print(f'CUR_PATH : {CUR_PATH}')\npath = f'{ROOT_PATH}/xlsx_files'\nfiles = listdir(path)\n\nresult_xlsx = Workboo... | false |
9,382 | 4e04e748a97c59a26a394b049c15d96476b98517 | # Generated by Django 2.2.16 on 2020-10-27 14:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('trades', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='orderinfo',
name='nonce_str',
... | [
"# Generated by Django 2.2.16 on 2020-10-27 14:55\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('trades', '0001_initial'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='orderinfo',\n name='no... | false |
9,383 | aaeca18f3771a6032c0fe51b75502f730c888888 | import FWCore.ParameterSet.Config as cms
source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring(
'/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_10_1_Kji.root',
'/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_1_1_oTR.r... | [
"import FWCore.ParameterSet.Config as cms\n\nsource = cms.Source(\"PoolSource\",\n fileNames = cms.untracked.vstring(\n '/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaevents_10_1_Kji.root',\n '/store/user/skaplan/noreplica/ADDdiPhoton/sherpa/mgg750-2000_Ms3000/sherpaeven... | false |
9,384 | e6694403eecf2c4511c1fce959b5939f5f457bb8 | v1 = 3+4*2
print(v1)
v2 = (2+6)*2
print(v2)
v3 = 2**3**2
print(v3)
v4 = 20+80/2
print(v4)
| [
"v1 = 3+4*2\nprint(v1)\n\nv2 = (2+6)*2\nprint(v2)\n\nv3 = 2**3**2\nprint(v3)\n\nv4 = 20+80/2\nprint(v4)\n",
"v1 = 3 + 4 * 2\nprint(v1)\nv2 = (2 + 6) * 2\nprint(v2)\nv3 = 2 ** 3 ** 2\nprint(v3)\nv4 = 20 + 80 / 2\nprint(v4)\n",
"<assignment token>\nprint(v1)\n<assignment token>\nprint(v2)\n<assignment token>\npri... | false |
9,385 | 9d7bc2d93b855fbd22a4707a6237ac51069beb53 | """
进程对象属性
"""
from multiprocessing import Process
import time
def tm():
for i in range(3):
print(time.ctime())
time.sleep(2)
p = Process(target=tm,name='Tarena')
# 设置子进程随父进程退出
p.daemon = True
p.start()
print("Name:",p.name) # 进程名称
print("PID:",p.pid) # 进程PID
print("is alive：",p.is_alive()) #... | [
"\"\"\"\n进程对象属性\n\"\"\"\n\nfrom multiprocessing import Process\nimport time\n\n\ndef tm():\n for i in range(3):\n print(time.ctime())\n time.sleep(2)\n\n\np = Process(target=tm,name='Tarena')\n\n# 设置子进程随父进程退出\np.daemon = True\n\np.start()\nprint(\"Name:\",p.name) # 进程名称\nprint(\"PID:\",p.pid) # 进程P... | false |
9,386 | 3d742505d480493fbc729e7a0febdcab3a7dc041 | from __future__ import annotations
from typing import Generator, Optional
from collections import Counter
from itertools import zip_longest
from re import finditer
codon_table = """UUU F CUU L AUU I GUU V
UUC F CUC L AUC I GUC V
UUA L CUA L AUA I GUA V
UUG L CUG L ... | [
"from __future__ import annotations\n\nfrom typing import Generator, Optional\nfrom collections import Counter\nfrom itertools import zip_longest\nfrom re import finditer\n\ncodon_table = \"\"\"UUU F CUU L AUU I GUU V\nUUC F CUC L AUC I GUC V\nUUA L CUA L AUA I GUA V\nUU... | false |
9,387 | 1a28aea824752d18cbd462693f8f8980dba4974e | import re
BASICPATTERN = '[!/](%s)\s{,1}(.*)' # example "/animefind baka" -> (animefind, baka)
# returns compiled BASICPATTERN for each given string
def basicRegex(strings):
if not isinstance(strings,list):
return []
ans = []
for string in strings:
pattern = re.compile(BASICPATTERN % st... | [
"import re\n\nBASICPATTERN = '[!/](%s)\\s{,1}(.*)' # example \"/animefind baka\" -> (animefind, baka)\n\n\n# returns compiled BASICPATTERN for each given string\ndef basicRegex(strings):\n if not isinstance(strings,list):\n return []\n ans = []\n for string in strings:\n pattern = re.compil... | false |
9,388 | 07e068dbc1ba1bcb85121ee49f2f9337cae188ba | #!/usr/bin/env python3
""" brightness an image"""
import tensorflow as tf
def change_brightness(image, max_delta):
"""brightness an image"""
img = tf.image.adjust_brightness(image, max_delta)
return img
| [
"#!/usr/bin/env python3\n\"\"\" brightness an image\"\"\"\nimport tensorflow as tf\n\n\ndef change_brightness(image, max_delta):\n \"\"\"brightness an image\"\"\"\n img = tf.image.adjust_brightness(image, max_delta)\n return img\n",
"<docstring token>\nimport tensorflow as tf\n\n\ndef change_brightness(i... | false |
9,389 | 475cb57ce5fda0d0389bfa1b9b227a2147e1abde | #------------------------------------------------------------
# Copyright 2016 Congduc Pham, University of Pau, France.
#
# Congduc.Pham@univ-pau.fr
#
# This file is part of the low-cost LoRa gateway developped at University of Pau
#
# This program is free software: you can redistribute it and/or modify
# it under the... | [
"#------------------------------------------------------------\n# Copyright 2016 Congduc Pham, University of Pau, France.\n# \n# Congduc.Pham@univ-pau.fr\n#\n# This file is part of the low-cost LoRa gateway developped at University of Pau\n#\n# This program is free software: you can redistribute it and/or modify\n#... | true |
9,390 | 8fd020e7f1854d29cf903f86d91a3a9ffa9d08d3 | /home/rip-acer-vn7-591g-1/catkin_ws/devel_cb/.private/nmea_navsat_driver/lib/python2.7/dist-packages/libnmea_navsat_driver/__init__.py | [
"/home/rip-acer-vn7-591g-1/catkin_ws/devel_cb/.private/nmea_navsat_driver/lib/python2.7/dist-packages/libnmea_navsat_driver/__init__.py"
] | true |
9,391 | 763f552329a0d38900e08081a1017b33cd882868 | import random
tree_age = 1
state = "alive"
value = 1
age_display = "Your tree have an age of: {}".format(tree_age)
state_display = "Your tree is {}.".format(state)
def tree_state(x):
if x <= 19:
state = "alive"
return state
elif x <= 49:
rand = random.randrange(tree_... | [
"import random\r\n\r\ntree_age = 1\r\n\r\nstate = \"alive\"\r\n\r\nvalue = 1\r\n\r\nage_display = \"Your tree have an age of: {}\".format(tree_age)\r\nstate_display = \"Your tree is {}.\".format(state)\r\n\r\ndef tree_state(x):\r\n if x <= 19:\r\n state = \"alive\"\r\n return state\r\n elif x <=... | false |
9,392 | 32d830f00a9d33b8f7f438c14b522ef186001bf3 | /usr/local/python-3.6/lib/python3.6/abc.py | [
"/usr/local/python-3.6/lib/python3.6/abc.py"
] | true |
9,393 | ab6450ee9038e0c58ca8becf6d2518d5e00b9c90 | """Generic utilities module"""
from . import average
from . import extract_ocean_scalar
from . import git
from . import gmeantools
from . import merge
from . import netcdf
from . import xrtools
__all__ = [
"average",
"extract_ocean_scalar",
"git",
"gmeantools",
"merge",
"netcdf",
"xrtools"... | [
"\"\"\"Generic utilities module\"\"\"\n\nfrom . import average\nfrom . import extract_ocean_scalar\nfrom . import git\nfrom . import gmeantools\nfrom . import merge\nfrom . import netcdf\nfrom . import xrtools\n\n__all__ = [\n \"average\",\n \"extract_ocean_scalar\",\n \"git\",\n \"gmeantools\",\n \"... | false |
9,394 | ca403e8820a3e34e0eb11b2fdd5d0fc77e3ffdc4 | # File for the information gain feature selection algorithm
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_selection import mutual_info_classif
# The function which will be called
def get_features(raw_data, raw_ids):
"""
Calculate the in... | [
"# File for the information gain feature selection algorithm\nimport numpy as np\nimport pandas as pd\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.feature_selection import mutual_info_classif\n\n# The function which will be called\ndef get_features(raw_data, raw_ids):\n\n \"\"\"\n ... | false |
9,395 | 7c9b68b2d32d8e435f332d4412ea1ba899607ec4 | """Derivation of variable ``co2s``."""
import dask.array as da
import iris
import numpy as np
import stratify
from ._baseclass import DerivedVariableBase
def _get_first_unmasked_data(array, axis):
"""Get first unmasked value of an array along an axis."""
mask = da.ma.getmaskarray(array)
numerical_mask = ... | [
"\"\"\"Derivation of variable ``co2s``.\"\"\"\nimport dask.array as da\nimport iris\nimport numpy as np\nimport stratify\n\nfrom ._baseclass import DerivedVariableBase\n\n\ndef _get_first_unmasked_data(array, axis):\n \"\"\"Get first unmasked value of an array along an axis.\"\"\"\n mask = da.ma.getmaskarray(... | false |
9,396 | 8771f71a69f3afdc5de4d38db6efe61b553ae880 | import cartopy.crs as ccrs
import cartopy.feature as cfeature
import numpy as np
import matplotlib.pyplot as plt
import netCDF4
import xarray as xr
import metpy
from datetime import datetime
import datetime as dt
from metpy.units import units
import scipy.ndimage as ndimage
from metpy.plots import USCOUNTIES... | [
"import cartopy.crs as ccrs\r\nimport cartopy.feature as cfeature\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport netCDF4\r\nimport xarray as xr\r\nimport metpy\r\nfrom datetime import datetime\r\nimport datetime as dt\r\nfrom metpy.units import units\r\nimport scipy.ndimage as ndimage\r\nfrom me... | false |
9,397 | dc2deb7d4c9cc126a6d80435fe9dbc16d6ac8941 | config_prefix = "<"
config_suported_types = ["PNG", "GIF", "JPEG"]
config_pattern = "^[A-Za-z0-9_]*$"
config_max_storage = int(1E9)
config_max_name_length = 20
config_message_by_line = 2
config_max_message_length = 2000
config_max_emote_length = 8*int(1E6)
config_pong = """
,;;;!!!!!;;.
:!!!!!!!!!!!!!!;
... | [
"config_prefix = \"<\"\nconfig_suported_types = [\"PNG\", \"GIF\", \"JPEG\"]\nconfig_pattern = \"^[A-Za-z0-9_]*$\"\nconfig_max_storage = int(1E9)\nconfig_max_name_length = 20\nconfig_message_by_line = 2\nconfig_max_message_length = 2000\nconfig_max_emote_length = 8*int(1E6)\nconfig_pong = \"\"\"\n ,;;;!!!!!;... | false |
9,398 | f2ac9904aaa4c12ef2954b88c37ffd0c97aadf5a | '''
Problem 24
A permutation is an ordered arrangement of objects. For example, 3124 is one possible permutation of the digits 1, 2, 3 and 4. If all of the permutations are listed numerically or alphabetically, we call it lexicographic order. The lexicographic permutations of 0, 1 and 2 are:
012 021 102 120 ... | [
"'''\nProblem 24\n\n\nA permutation is an ordered arrangement of objects. For example, 3124 is one possible permutation of the digits 1, 2, 3 and 4. If all of the permutations are listed numerically or alphabetically, we call it lexicographic order. The lexicographic permutations of 0, 1 and 2 are:\n\n012 021 1... | true |
9,399 | a2626b384d0b7320ee9bf7cd75b11925ccc00666 | import itertools
def sevens_in_a_row(arr,n):
in_a_row={}
for iteration in arr:
if arr[iteration]==arr[iteration+1]:
print blaaa
def main():
n=3
arr=['1','1','1','2','3','-4']
print (sevens_in_a_row(arr,n))
if __name__== '__main__':
main() | [
"import itertools\ndef sevens_in_a_row(arr,n):\n\tin_a_row={}\n\tfor iteration in arr:\n\t\tif arr[iteration]==arr[iteration+1]:\n\t\t\tprint blaaa\n\t\t\t\n\ndef main():\n\tn=3\n\tarr=['1','1','1','2','3','-4']\n\tprint (sevens_in_a_row(arr,n))\n\nif __name__== '__main__':\n main()"
] | true |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.