index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
3,400 | 3df57059539e5e3579c6dbee6be288e04b5f93b5 | import boto3
import jinja2
import markdown
# Instantiate S3 client
s3_client = boto3.client('s3')
# HTML style template
TEMPLATE = """<!DOCTYPE html>
<html>
<head>
<link href="http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css" rel="stylesheet">
<style>
body {
... | [
"import boto3\nimport jinja2\nimport markdown\n\n# Instantiate S3 client\ns3_client = boto3.client('s3')\n\n# HTML style template\nTEMPLATE = \"\"\"<!DOCTYPE html>\n<html>\n<head>\n <link href=\"http://netdna.bootstrapcdn.com/twitter-bootstrap/2.3.0/css/bootstrap-combined.min.css\" rel=\"stylesheet\">\n <styl... | false |
3,401 | 2ed9eafb6e26971f642d1e33cbb3d1f3df34990a | from gurobipy import *
import math
# params.NonConvex = 2
# K = 5
# R = {0: 1000, 1: 5000, 2: 10000, 3: 20000, 4: 69354} # imbalanced
# R = {0: 50, 1: 100, 2: 150, 3: 84, 4: 400} # imbalanced
# R = {0: 100, 1: 200, 2: 484} # imbalanced
# R = {0: 10, 1: 20, 2: 30, 3: 50, 4: 100} # imbalanced
# R = {0... | [
"from gurobipy import *\r\nimport math\r\n\r\n# params.NonConvex = 2\r\n# K = 5\r\n# R = {0: 1000, 1: 5000, 2: 10000, 3: 20000, 4: 69354} # imbalanced\r\n\r\n# R = {0: 50, 1: 100, 2: 150, 3: 84, 4: 400} # imbalanced\r\n\r\n# R = {0: 100, 1: 200, 2: 484} # imbalanced\r\n\r\n# R = {0: 10, 1: 20, 2: 30, 3: 50, 4: 1... | false |
3,402 | f125269d5b52da41734ce94683139c44f0c4a66a | """
Implements Single Instance Learning SVM
From https://github.com/garydoranjr/misvm/blob/master/misvm/sil.py
Modified by Nicolas
"""
from __future__ import print_function, division
import numpy as np
import inspect
from sklearn.svm import LinearSVC as SVM
from milsvm.util import slices
class SIL(SVM):
"""
S... | [
"\"\"\"\nImplements Single Instance Learning SVM\nFrom https://github.com/garydoranjr/misvm/blob/master/misvm/sil.py\nModified by Nicolas\n\"\"\"\nfrom __future__ import print_function, division\nimport numpy as np\nimport inspect\nfrom sklearn.svm import LinearSVC as SVM\nfrom milsvm.util import slices\n\n\nclass ... | false |
3,403 | 545053bc2b7c8687622d747673f2ad37b978014c | # Converts text to speech in different accents. Requires pip3 install gTTS
from gtts import gTTS
import os
language_code = """
Language Code
-------- ----
Afrikaans af
Albanian sq
Arabic ar
Belarusian be
Bulgarian bg
Catalan ca
Chinese Simplified zh-CN
Chinese Traditional zh-T... | [
"# Converts text to speech in different accents. Requires pip3 install gTTS\nfrom gtts import gTTS\nimport os\n\nlanguage_code = \"\"\"\nLanguage Code\n-------- ----\nAfrikaans af\nAlbanian sq\nArabic ar\nBelarusian be\nBulgarian bg\nCatalan ca\nChinese Simplified zh-CN\nChines... | false |
3,404 | 1deb070dd91c01190b70fa678add31ecb82f34fa | #Creating function
def name_of_function():
'''
Docstring explains function.
'''
return "Hello" #use return instead of print since return can be stored as a variable.
#Simple example
def dog_check(mystring):
if 'dog' in mystring.lower():
return True
else:
return False
#This is a beginner mo... | [
"#Creating function\n\ndef name_of_function():\n '''\n Docstring explains function.\n '''\n return \"Hello\" #use return instead of print since return can be stored as a variable.\n \n \n#Simple example\n\ndef dog_check(mystring):\n if 'dog' in mystring.lower():\n return True\n else:\n return False\... | false |
3,405 | 4fbf5b4520aa4dca4c7cc80d56ba00f634d184bf | # -*- coding: utf-8 -*-
# упражнение выполнено на Python 3
manual_calc = 53 + 1.0/3
def trapezoidal(f, a, b, n):
h = float(b - a)/n
result = 0.5*(f(a) + f(b))
for i in range(1, n):
result += f(a + i*h)
result *= h
return result
def rectangular(f, a, b, n):
h = float(b - a)/n
result = f(a+0.5*h)
for ... | [
"# -*- coding: utf-8 -*-\n# упражнение выполнено на Python 3\n\n\nmanual_calc = 53 + 1.0/3\n\n\ndef trapezoidal(f, a, b, n):\n\t\n\th = float(b - a)/n\n\tresult = 0.5*(f(a) + f(b))\n\tfor i in range(1, n):\n\t\tresult += f(a + i*h)\n\tresult *= h\n\treturn result\n\n\ndef rectangular(f, a, b, n):\n\t\n\th = float(b... | false |
3,406 | 995dc34ea32de4566e2804b6797d9b551b733ff3 |
forbidden = [
'Key.esc', 'Key.cmd', 'Key.cmd_r', 'Key.menu',
'Key.pause', 'Key.scroll_lock', 'Key.print_screen',
'Key.enter', 'Key.space', 'Key.backspace', 'Key.ctrl_l',
'Key.ctrl_r', 'Key.alt_l', 'Key.alt_gr', 'Key.caps_lock',
'Key.num_lock', 'Key.tab', 'Key.shift', 'Key.shift_r',
'K... | [
"\r\nforbidden = [\r\n 'Key.esc', 'Key.cmd', 'Key.cmd_r', 'Key.menu', \r\n 'Key.pause', 'Key.scroll_lock', 'Key.print_screen', \r\n 'Key.enter', 'Key.space', 'Key.backspace', 'Key.ctrl_l', \r\n 'Key.ctrl_r', 'Key.alt_l', 'Key.alt_gr', 'Key.caps_lock',\r\n 'Key.num_lock', 'Key.tab', 'Key.shift', 'Key.... | false |
3,407 | 153d37b58a10847aae1fa7dbec4c7576c3d97fb2 | import random
# library to create window in the terminal
import curses
# initialized curses by returning a window object
stdscr = curses.initscr()
curses.noecho()
curses.cbreak()
stdscr.keypad(True)
curses.curs_set(0)
height, width = stdscr.getmaxyx()
# create a new window of a given size
window = cur... | [
"import random\r\n\r\n# library to create window in the terminal\r\nimport curses \r\n\r\n# initialized curses by returning a window object\r\nstdscr = curses.initscr()\r\ncurses.noecho()\r\ncurses.cbreak()\r\nstdscr.keypad(True)\r\ncurses.curs_set(0)\r\nheight, width = stdscr.getmaxyx()\r\n\r\n# create a new windo... | false |
3,408 | afb0359f4cdf5ed32bb785d969e9bf8919bb6add | import os
import json
import csv
import re
import requests
import spacy
import nltk
from nltk.parse import CoreNLPParser
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
stemmer = PorterStemmer()
from time import time
nlp = spacy.load('es_core_news_sm')
from modules_api import conts_log
sw_spanish=... | [
"import os\nimport json\nimport csv\nimport re\nimport requests\nimport spacy\nimport nltk\nfrom nltk.parse import CoreNLPParser\nfrom nltk.corpus import stopwords\nfrom nltk.stem import PorterStemmer\nstemmer = PorterStemmer()\nfrom time import time\nnlp = spacy.load('es_core_news_sm')\nfrom modules_api import con... | false |
3,409 | 77e985d94d3b47539f046a3a46cb1a197cef86f4 | ###############################################################################
# Programming Essentials B8IT102 Assessment #
# Student: Barry Sheppard ID: 10387786 #
# Problem 1 #
... | [
"###############################################################################\n# Programming Essentials B8IT102 Assessment #\n# Student: Barry Sheppard ID: 10387786 #\n# Problem 1 ... | false |
3,410 | 3fed8723d215bce3cf391752e07ca85b2d6701a3 | # Generated by Django 2.1.7 on 2019-04-01 14:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('submissions', '0004_auto_20190401_1834'),
]
operations = [
migrations.AlterField(
model_name='mainsubmission',
name=... | [
"# Generated by Django 2.1.7 on 2019-04-01 14:37\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('submissions', '0004_auto_20190401_1834'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='mainsubmission',... | false |
3,411 | f8b473451a15e42319b60f44a527d715c0032614 | n = int(input())
s = ""
for i in range(n):
l = list(map(lambda x:x*x,map(int, input().split())))
l.sort()
if l[0] + l[1] == l[2]:
s += "YES\n"
else:
s += "NO\n"
print(s,end="") | [
"n = int(input())\ns = \"\"\nfor i in range(n):\n l = list(map(lambda x:x*x,map(int, input().split())))\n l.sort()\n if l[0] + l[1] == l[2]:\n s += \"YES\\n\"\n else:\n s += \"NO\\n\"\n\nprint(s,end=\"\")",
"n = int(input())\ns = ''\nfor i in range(n):\n l = list(map(lambda x: x * x, map(int, inp... | false |
3,412 | 915d6547057f43c1cc5d96d9cb4529c56bc85559 | #"countinu" example : repeat printing "Too small" or "Input is..." according to input's lenth
while True:
s=raw_input('Enter something: ')
if s == 'quit' :
break
if len(s) <3:
print 'Too small'
continue
#continue : not exc... | [
"#\"countinu\" example : repeat printing \"Too small\" or \"Input is...\" according to input's lenth\r\n\r\nwhile True:\r\n s=raw_input('Enter something: ')\r\n if s == 'quit' :\r\n break\r\n if len(s) <3:\r\n print 'Too small'\r\n continue\r\n ... | true |
3,413 | 78e72bf3ac73113e2c71caf5aed70b53cafa9c46 | #题目014：将一个正整数分解质因数
#【编程思路】类似手算分解质因数的过程，找出因数后，原数字缩小
'''
找出质因数并不难，把他们打印出来有点小烦
'''
num = int(input('请输入一个整数：'))
original=num
a= []
while num > 1:
for i in range(2,num+1):
if num%i == 0:
a.append(i)
num = num//i
break
print("%d ="%(original),end='')
for i... | [
"#题目014：将一个正整数分解质因数\r\n#【编程思路】类似手算分解质因数的过程，找出因数后，原数字缩小\r\n'''\r\n找出质因数并不难，把他们打印出来有点小烦\r\n'''\r\n\r\nnum = int(input('请输入一个整数：'))\r\noriginal=num\r\n\r\na= []\r\nwhile num > 1:\r\n for i in range(2,num+1):\r\n if num%i == 0:\r\n a.append(i)\r\n num = num//i\r\n break\r\n\r\... | false |
3,414 | 1aa2bff245322a34438cc836e23f430926dfac6c | import pymysql
db = pymysql.connect( "localhost", "root", "", "order_db",
use_unicode=True, charset="utf8")
cursor = db.cursor()
sql = "DROP TABLE custdetail"
cursor.execute(sql)
db.close()
| [
"import pymysql\ndb = pymysql.connect( \"localhost\", \"root\", \"\", \"order_db\",\n use_unicode=True, charset=\"utf8\") \ncursor = db.cursor()\nsql = \"DROP TABLE custdetail\"\ncursor.execute(sql)\ndb.close()\n",
"import pymysql\ndb = pymysql.connect('localhost', 'root', '', 'order_... | false |
3,415 | 2e794e281c6f34858cd32725cdc454eb18c28892 | import sys
V, E = map(int, sys.stdin.readline().split())
node = []
graphs = []
for i in range(V+1):
node.append(i)
for _ in range(E):
graphs.append((list(map(int, sys.stdin.readline().split()))))
graph = sorted(graphs, key=lambda x: x[2])
def get_parent(parent, x):
if parent[x] == x:
return x
... | [
"import sys\n\nV, E = map(int, sys.stdin.readline().split())\n\nnode = []\ngraphs = []\nfor i in range(V+1):\n node.append(i)\n\nfor _ in range(E):\n graphs.append((list(map(int, sys.stdin.readline().split()))))\n\ngraph = sorted(graphs, key=lambda x: x[2])\n\n\ndef get_parent(parent, x):\n if parent[x] ==... | false |
3,416 | 3ac30240577eda08343796abbd051d5d3b45beaf | import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from glob import glob
from moviepy.editor import VideoFileClip
output_images_dir = './output_images/'
test_images_dir = './test_images/'
output_video_file = 'output.mp4'
mtx = None
dist = None
def load_image(filename):
... | [
"import numpy as np\nimport cv2\nimport matplotlib.pyplot as plt\nimport matplotlib.image as mpimg\nfrom glob import glob\nfrom moviepy.editor import VideoFileClip\n\noutput_images_dir = './output_images/'\ntest_images_dir = './test_images/'\noutput_video_file = 'output.mp4'\n\nmtx = None\ndist = None\n\ndef load_i... | false |
3,417 | 644b4a2f0e8ce95e669c9c01df111c943e0c4af2 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Module test_measured_model - Contains the unit tests for the classes
in the datamodels.miri_measured_model module.
:History:
15 Jan 2013: Created.
21 Jan 2013: Warning messages controlled with Python warnings module.
05 Feb 2013: File closing problem solved by using ... | [
"#!/usr/bin/env python\n# -*- coding:utf-8 -*-\n\n\"\"\"\n\nModule test_measured_model - Contains the unit tests for the classes\nin the datamodels.miri_measured_model module.\n\n:History:\n\n15 Jan 2013: Created.\n21 Jan 2013: Warning messages controlled with Python warnings module.\n05 Feb 2013: File closing prob... | false |
3,418 | 4a0213351f8e9dcb2c6e71317a5ff1064974652e | class Solution:
def divide(self, dividend, divisor):
"""
:type dividend: int
:type divisor: int
:rtype: int
"""
negative = (dividend < 0) ^ (divisor < 0)
dividend, divisor = abs(dividend), abs(divisor)
result = 0
while dividend >= divisor:
... | [
"class Solution:\n def divide(self, dividend, divisor):\n \"\"\"\n :type dividend: int\n :type divisor: int\n :rtype: int\n \"\"\"\n negative = (dividend < 0) ^ (divisor < 0)\n dividend, divisor = abs(dividend), abs(divisor)\n\n result = 0\n while di... | false |
3,419 | 14b98186fbc9c275cea3c042cdb4899f6d0c54c6 | #!/usr/bin/python
#_*_coding:utf-8_*_
import random
def main():
source = "I couldn't believe that I could actually understand what I was reading : the phenomenal power of the human mind ."
words = source.strip().split(" ")
new_str = list()
for word in words:
if len(word) > 4:
shuff... | [
"#!/usr/bin/python\n#_*_coding:utf-8_*_\n\nimport random\n\ndef main():\n source = \"I couldn't believe that I could actually understand what I was reading : the phenomenal power of the human mind .\"\n words = source.strip().split(\" \")\n new_str = list()\n for word in words:\n if len(word) > 4... | true |
3,420 | 89b03bb5ca86e426459e23866f86f8770e4a1613 | from collections import defaultdict
def solve(n, seq):
flag = True
# slot = [0] * (n + 10)
freq = defaultdict()
# refer to next free slot
i = 1
p = len(seq)
j = 0
while j < p:
c = seq[j]
if i > n:
flag = False
break
if c in freq.keys():
... | [
"from collections import defaultdict\n\ndef solve(n, seq):\n flag = True\n # slot = [0] * (n + 10)\n freq = defaultdict()\n\n # refer to next free slot\n i = 1\n p = len(seq)\n j = 0\n\n while j < p:\n c = seq[j]\n if i > n:\n flag = False\n break\n ... | false |
3,421 | 1355c3abfd2683f6dc869703fdb79a04e264099c | """For logging training information to files."""
import os
def delete_log(file_path):
"""Delete a log file.
Args:
file_path: String, the full path to the log file.
Raises:
ValueError: if file not found.
"""
if os.path.exists(file_path):
print('Deleting log %s...' % file_path)... | [
"\"\"\"For logging training information to files.\"\"\"\nimport os\n\n\ndef delete_log(file_path):\n \"\"\"Delete a log file.\n\n Args:\n file_path: String, the full path to the log file.\n\n Raises:\n ValueError: if file not found.\n \"\"\"\n if os.path.exists(file_path):\n print('D... | false |
3,422 | d98db745be2ab9c506a98539b25e9b46e4997136 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 28 16:36:56 2018
@author: Alex
"""
#%% Import packages
import pickle
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
import os
os.chdir('C:\\Users\\Alex\\Documents\\GitHub\\insight-articles-project\\src\\topic modeling\\')
from plotly_network ... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Thu Jun 28 16:36:56 2018\n\n@author: Alex\n\"\"\"\n\n#%% Import packages \nimport pickle \nimport numpy as np\nimport matplotlib.pyplot as plt\nimport networkx as nx\nimport os \nos.chdir('C:\\\\Users\\\\Alex\\\\Documents\\\\GitHub\\\\insight-articles-project\\\\src\\\\t... | false |
3,423 | 18d1722529a63f9a1696b09c40dabb1c68ed55f4 | import subprocess
from flask import Flask, render_template, request
from subprocess import Popen, PIPE, check_output
def toggle_relay(value):
session = subprocess.Popen("./relay " + value, stdout=PIPE, stderr=PIPE, shell=True)
stdout, stderr = session.communicate()
if stderr:
raise Exception("Error... | [
"import subprocess\nfrom flask import Flask, render_template, request\nfrom subprocess import Popen, PIPE, check_output\n\ndef toggle_relay(value):\n session = subprocess.Popen(\"./relay \" + value, stdout=PIPE, stderr=PIPE, shell=True)\n stdout, stderr = session.communicate()\n if stderr:\n raise E... | false |
3,424 | 3a3400426b054b2fc3d060141a1f84e5db553e59 | import deform
import deform.widget
from deform import (widget) # decorator, default_renderer, field, form,
import colander
# import htmllaundry
# from htmllaundry import sanitize
from validators import (cyber_validator,
phone_validator,
stor_validator,
... | [
"import deform\nimport deform.widget\nfrom deform import (widget) # decorator, default_renderer, field, form,\nimport colander\n# import htmllaundry\n# from htmllaundry import sanitize\n\nfrom validators import (cyber_validator,\n phone_validator,\n stor_validator,\n ... | false |
3,425 | 234112ec16af39b79849dd08769597771fa2c38f | #! /usr/bin/env python
from taskHandler import Location, Task, TaskFactory
import roslib; roslib.load_manifest('smart_stool')
import rospy
from geometry_msgs.msg import PoseStamped, Twist, Vector3
from nav_msgs.msg import Odometry
from kobuki_msgs.msg import BumperEvent
from move_base_msgs.msg import MoveBaseActionRes... | [
"#! /usr/bin/env python\n\nfrom taskHandler import Location, Task, TaskFactory\nimport roslib; roslib.load_manifest('smart_stool')\nimport rospy\nfrom geometry_msgs.msg import PoseStamped, Twist, Vector3\nfrom nav_msgs.msg import Odometry\nfrom kobuki_msgs.msg import BumperEvent\nfrom move_base_msgs.msg import Move... | true |
3,426 | f781377a52400abd617e7f0c5529726120b78476 | import random
import time
from typing import Dict, List, Optional
from bemani.client.base import BaseClient
from bemani.protocol import Node
class ReflecBeatColette(BaseClient):
NAME = 'ＴＥＳＴ'
def verify_pcb_boot(self, loc: str) -> None:
call = self.call_node()
pcb = Node.void('pcb')
... | [
"import random\nimport time\nfrom typing import Dict, List, Optional\n\nfrom bemani.client.base import BaseClient\nfrom bemani.protocol import Node\n\n\nclass ReflecBeatColette(BaseClient):\n NAME = 'ＴＥＳＴ'\n\n def verify_pcb_boot(self, loc: str) -> None:\n call = self.call_node()\n\n pcb = Node.... | false |
3,427 | ec9a152e39a0c51319e4db58eea4496cff5b2fd6 | import numpy
from nn_functor import functions
class Linear(functions.Learn):
def implement(self, a, p):
x = a[0]
w, b0 = p
return w.dot(x) + b0
def update(self, a, b, p):
i = self.implement(a, p)
x = a[0]
w, b0 = p
u_w = w - self.eps * (i - b)[:, N... | [
"import numpy\n\nfrom nn_functor import functions\n\n\nclass Linear(functions.Learn):\n\n def implement(self, a, p):\n x = a[0]\n w, b0 = p\n\n return w.dot(x) + b0\n\n def update(self, a, b, p):\n i = self.implement(a, p)\n\n x = a[0]\n w, b0 = p\n\n u_w = w -... | false |
3,428 | ac1ac80739bed0cebf7a89a7d55e1b4fa6c68cdf | from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def index(request):
#return HttpRequest("Hi This is SAU5081 page.")
return render(request, "sau5081/sau5081.html") | [
"from django.shortcuts import render\nfrom django.http import HttpResponse\n\n\n# Create your views here.\ndef index(request):\n #return HttpRequest(\"Hi This is SAU5081 page.\")\n return render(request, \"sau5081/sau5081.html\")",
"from django.shortcuts import render\nfrom django.http import HttpResponse\n... | false |
3,429 | 4a9c42727a28e19cf1eebcf72784b85bbae695bf | #1.25.2019 - shashi
#Program that accepts an array of different elements
#And moves all the integer 0s to the end of it. String 0s like "0" or "0.0" remain untouched.
def shiftZeroesToEnd(myArray): #function starts here
zeroCounter = 0 #counter to keep track of how many 0s exist.
shiftedArray = [] #array to h... | [
"#1.25.2019 - shashi\n#Program that accepts an array of different elements\n#And moves all the integer 0s to the end of it. String 0s like \"0\" or \"0.0\" remain untouched.\n\n\ndef shiftZeroesToEnd(myArray): #function starts here\n zeroCounter = 0 #counter to keep track of how many 0s exist.\n shiftedArray ... | false |
3,430 | cee9deeeabfec46ee5c132704e8fd653e55987f3 | # coding: utf-8
import logging
def __gen_logger():
result = logging.getLogger('superslick')
return result
logger = __gen_logger() | [
"# coding: utf-8\n\nimport logging\n\ndef __gen_logger():\n result = logging.getLogger('superslick')\n return result\n\nlogger = __gen_logger()",
"import logging\n\n\ndef __gen_logger():\n result = logging.getLogger('superslick')\n return result\n\n\nlogger = __gen_logger()\n",
"<import token>\n\n\n... | false |
3,431 | c74fc99bf8582fd83c312f27dfffbe894a2c8c1b | import os
import sqlite3
import operator
from collections import OrderedDict
import matplotlib.pyplot as plt
def parse(url):
try:
parsed_url_components = url.split('//')
sublevel_split = parsed_url_components[1].split('/', 1)
domain = sublevel_split[0].replace("www.", "")
return domain
except IndexError:
p... | [
"import os\nimport sqlite3\nimport operator\nfrom collections import OrderedDict\nimport matplotlib.pyplot as plt\n\ndef parse(url):\n\ttry:\n\t\tparsed_url_components = url.split('//')\n\t\tsublevel_split = parsed_url_components[1].split('/', 1)\n\t\tdomain = sublevel_split[0].replace(\"www.\", \"\")\n\t\treturn d... | false |
3,432 | af7a124c873dda02ba2a78e85965aa243d791863 | # -*- coding: utf-8 -*-
import os
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
class Config:
SECRET_KEY = os.environ.get('SECRET_KEY')
# github
GITHUB_OAUTH2 = {
#github上获取
'client_id': '',
'client_secret': '',
'callback_url': '',
'scope': 'user'... | [
"# -*- coding: utf-8 -*-\nimport os\nfrom apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore\n\n\nclass Config:\n SECRET_KEY = os.environ.get('SECRET_KEY')\n # github\n GITHUB_OAUTH2 = {\n #github上获取\n 'client_id': '',\n 'client_secret': '',\n 'callback_url': '',\n ... | true |
3,433 | cdb49af584ae7befcaebfd9bb303073c8229667e | #!/usr/bin/python
import os
import psycopg2
import datetime
import time
import json
import decimal
import requests
import csv
import asyncio
from config import get_connection, get_db_sql, get_sql_record_count, CORP_TYPES_IN_SCOPE, corp_num_with_prefix, bare_corp_num
from orgbook_data_load import (
get_orgbook_all... | [
"#!/usr/bin/python\nimport os \nimport psycopg2\nimport datetime\nimport time\nimport json\nimport decimal\nimport requests\nimport csv\nimport asyncio\n\nfrom config import get_connection, get_db_sql, get_sql_record_count, CORP_TYPES_IN_SCOPE, corp_num_with_prefix, bare_corp_num\nfrom orgbook_data_load import (\n ... | false |
3,434 | 306240db8a1652fe7cd79808c40e4354c3158d3e | import json
import sys
import time
# boardName pageNum indexNewest
# Baseball 5000 5183
# Elephants 3500 3558
# Monkeys 3500 3672
# Lions 3300 3381
# Guardians 3500 3542
boardNameList = ["Baseball", "Elephants", "Monkeys", "Lions", "Guardians"]
def loadData(filename):
_data = json.loads(open(filename).read())
return... | [
"import json\nimport sys\nimport time\n# boardName\tpageNum\tindexNewest\n# Baseball\t5000\t5183\n# Elephants\t3500\t3558\n# Monkeys\t3500\t3672\n# Lions\t3300\t3381\n# Guardians\t3500\t3542\n\nboardNameList = [\"Baseball\", \"Elephants\", \"Monkeys\", \"Lions\", \"Guardians\"]\ndef loadData(filename):\n\t_data = j... | false |
3,435 | c66b07c45f4a675a6c7fcec82048a3197910d0d8 | marks = {
"S":"subject",
"O":"object",
"A":"attribute",
"C":"clause",
}
marks_reverse = {
"subject":"S",
"object":"O",
"attribute":"A",
"clause":"C",
}
| [
"marks = {\n \"S\":\"subject\",\n \"O\":\"object\",\n \"A\":\"attribute\",\n \"C\":\"clause\",\n}\nmarks_reverse = {\n \"subject\":\"S\",\n \"object\":\"O\",\n \"attribute\":\"A\",\n \"clause\":\"C\",\n}\n",
"marks = {'S': 'subject', 'O': 'object', 'A': 'attribute', 'C': 'clause'}\nmarks_r... | false |
3,436 | cbbe273a19a4e60b760e35aeb8d43972a46760f5 | import tensorflow as tf
from models.base_model import BaseModel
from utils.im_utils import batch_convert_2_int
from datasets.single_dataset import SingleDataset
from datasets.unpaired_dataset import UnpairedDataset
from models.generators.maskshadowgan_generators import Generator
from models.discriminators.maskshadowgan... | [
"import tensorflow as tf\nfrom models.base_model import BaseModel\nfrom utils.im_utils import batch_convert_2_int\nfrom datasets.single_dataset import SingleDataset\nfrom datasets.unpaired_dataset import UnpairedDataset\nfrom models.generators.maskshadowgan_generators import Generator\nfrom models.discriminators.ma... | false |
3,437 | 6334a8a052d72b0f13395b301bd5a766acf4399b | from utils import create_data_lists
if __name__ == '__main__':
create_data_lists(
ICDAR_path='../ICDAR_Dataset/0325updated.task1train(626p)',
output_folder='../ICDAR_Dataset/0325updated.task1train(626p)')
| [
"from utils import create_data_lists\n\nif __name__ == '__main__':\n create_data_lists(\n ICDAR_path='../ICDAR_Dataset/0325updated.task1train(626p)',\n output_folder='../ICDAR_Dataset/0325updated.task1train(626p)')\n",
"from utils import create_data_lists\nif __name__ == '__main__':\n create_d... | false |
3,438 | c846c33ef13795d51c6d23ffa5a6b564b66e6a3c | from pathlib import Path
from build_midi.appenders import *
from build_midi.converters import Converter
from build_midi.melody_builder import MelodyBuilder
from build_midi.sequences import *
from build_midi.tracks import *
from music_rules.instruments import Instruments
from music_rules.music_scale import MusicScale
f... | [
"from pathlib import Path\n\nfrom build_midi.appenders import *\nfrom build_midi.converters import Converter\nfrom build_midi.melody_builder import MelodyBuilder\nfrom build_midi.sequences import *\nfrom build_midi.tracks import *\nfrom music_rules.instruments import Instruments\nfrom music_rules.music_scale import... | false |
3,439 | 0c736bb5c88a8d7ee359e05fe12f0b77d83146c8 | #!/usr/bin/python2.7
#
# Assignment2 Interface
#
import psycopg2
import os
import sys
import Assignment1 as a
# Donot close the connection inside this file i.e. do not perform openconnection.close()
#range__metadata = RangeRatingsMetadata
#roundR_metadata = RoundRobinRatingsMetadata
#rangetablepartition = rangeratings... | [
"#!/usr/bin/python2.7\n#\n# Assignment2 Interface\n#\n\nimport psycopg2\nimport os\nimport sys\nimport Assignment1 as a\n# Donot close the connection inside this file i.e. do not perform openconnection.close()\n#range__metadata = RangeRatingsMetadata\n#roundR_metadata = RoundRobinRatingsMetadata\n#rangetablepartiti... | true |
3,440 | da0076ab18531e5b8a1de909cb9178de6327d6b0 | """
The MIT License (MIT)
Copyright (c) 2015 Tommy Carpenter
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, mer... | [
"\"\"\"\nThe MIT License (MIT)\n\nCopyright (c) 2015 Tommy Carpenter\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use,... | false |
3,441 | a96761fc483c0883b058c2b045b038522c23d426 | T = int(input())
for i in range(T):
start, end = map(int, input().split())
between = end-start
flag = 0
num =1
while between>0:
if flag%2==1:
between-=num
num+=1
flag+=1
else:
between-=num
flag+=1
print(flag)
... | [
"T = int(input())\nfor i in range(T):\n start, end = map(int, input().split())\n between = end-start\n flag = 0\n num =1\n while between>0:\n \n if flag%2==1:\n between-=num\n num+=1\n flag+=1\n else:\n between-=num\n flag+=1\n ... | false |
3,442 | d66945add0726c85b8ac29056269ed55c6eb9369 | # Copyright 2020 Google LLC.
# 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 applicable law or agreed to in writing, softw... | [
"# Copyright 2020 Google LLC.\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# Unless required by applicable law or agreed to in ... | false |
3,443 | 632b90ea5a2ac35539e589af297c04b31bbf02d0 | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
layout = html.Div([
html.H3('Node 6'),
dcc.Dropdown(
id='node-6-dropdown',
options=[
{'label': 'Node 6 - {}'.format(i), 'value': i} for ... | [
"import dash_core_components as dcc\r\nimport dash_html_components as html\r\nfrom dash.dependencies import Input, Output\r\n\r\nfrom app import app\r\n\r\nlayout = html.Div([\r\n html.H3('Node 6'),\r\n dcc.Dropdown(\r\n id='node-6-dropdown',\r\n options=[\r\n {'label': 'Node 6 - {}'.... | false |
3,444 | 290b8b4c3aeafc84b1e9cce7e6d2a5e770bd8716 | cadena = input("Introduzca su cadena: ")
separador = input("Introduzca el separador: ")
print(cadena.replace(" ", separador)) | [
"cadena = input(\"Introduzca su cadena: \")\nseparador = input(\"Introduzca el separador: \")\nprint(cadena.replace(\" \", separador))",
"cadena = input('Introduzca su cadena: ')\nseparador = input('Introduzca el separador: ')\nprint(cadena.replace(' ', separador))\n",
"<assignment token>\nprint(cadena.replace(... | false |
3,445 | 32c28c7a1e1572744387b509fc6a448554ed565e | # Generated by Django 2.2.5 on 2019-10-28 08:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='user',
name='my_resume',
field... | [
"# Generated by Django 2.2.5 on 2019-10-28 08:45\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('user', '0001_initial'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='user',\n name='my_resume'... | false |
3,446 | d5c2b73c202c9944cd64798ef5ddc08ce68a4a9a | import os.path
from flask import url_for
from sqlalchemy import Column, Integer, String, Sequence, ForeignKey
from sqlalchemy.orm import relationship
from tuneful import app
from .database import Base, engine, session
class Song(Base):
__tablename__ = 'songs'
id = Column(Integer, primary_key=True)
file_i... | [
"import os.path\n\nfrom flask import url_for\nfrom sqlalchemy import Column, Integer, String, Sequence, ForeignKey\nfrom sqlalchemy.orm import relationship\n\nfrom tuneful import app\nfrom .database import Base, engine, session\n\nclass Song(Base):\n __tablename__ = 'songs'\n id = Column(Integer, primary_key=... | false |
3,447 | 856e62cf4cd443c7b3397e926f8fc4fece145f5b | # coding=utf-8
class Movie:
def __init__(self,movieid,moviename,score,poster):
self.movieid=movieid
self.moviename=moviename
self.score=score
self.poster=poster
for i in range(1,32):
print("<option value =\""+str(i)+"\">"+str(i)+"</option>") | [
"# coding=utf-8\r\nclass Movie:\r\n def __init__(self,movieid,moviename,score,poster):\r\n self.movieid=movieid\r\n self.moviename=moviename\r\n self.score=score\r\n self.poster=poster\r\n\r\nfor i in range(1,32):\r\n print(\"<option value =\\\"\"+str(i)+\"\\\">\"+str(i)+\"</option... | false |
3,448 | 691075aa5c629e2d0c486ec288cd39bc142cdc7a | # Simple read based on the py _sql context
from pyspark.sql import SQLContext
sqlContext = SQLContext(sc)
flow_data = sc._jvm.com.tetration.apps.IO.read(sqlContext._ssql_ctx, "/tetration/flows/", "PARQUET", "LASTHOUR")
flow_data.registerTempTable("flowtab")
# show the unique src_address and dst_address pairs
df = sq... | [
"# Simple read based on the py _sql context\nfrom pyspark.sql import SQLContext\nsqlContext = SQLContext(sc)\n\n\nflow_data = sc._jvm.com.tetration.apps.IO.read(sqlContext._ssql_ctx, \"/tetration/flows/\", \"PARQUET\", \"LASTHOUR\")\nflow_data.registerTempTable(\"flowtab\")\n\n# show the unique src_address and dst_... | false |
3,449 | 23e673909b2f1eb9a265ce84ad63464e20e99c6a | # coding=utf-8
import pyautogui
from xpinyin import Pinyin
rubbish_dic=1
if rubbish_dic==0:
chinese_rubbish=(
u"草泥马",
u"你妈死了",
u"你是不是",
u"低能",
u"人话都听不懂",
u"没家教的狗东西",
)
elif rubbish_dic==1:
rubbish_file=open("rubbish_dic.txt")
chinese_rubbish=rubbish_file.read().splitlines()
... | [
"# coding=utf-8\nimport pyautogui\nfrom xpinyin import Pinyin\n\nrubbish_dic=1\n\nif rubbish_dic==0:\n chinese_rubbish=(\n u\"草泥马\",\n u\"你妈死了\",\n u\"你是不是\",\n u\"低能\",\n u\"人话都听不懂\",\n u\"没家教的狗东西\", \n )\nelif rubbish_dic==1:\n rubbish_file=open(\"rubbish_dic.txt\")\n chinese_rubbi... | false |
3,450 | 49e1dc98ecc2e5c12c6e520721a6c0a7c2665cca | from flask import Flask, jsonify, make_response, request
app = Flask(__name__)
VERSION = (0, 1, 0)
VERSION_STRING = "{}.{}.{}".format(*VERSION)
LANG_ID = "lang.natural.english"
@app.errorhandler(404)
def not_found(error):
return make_response(jsonify({'error': 'Not found'}), 404)
@app.route("/")
def entry()... | [
"from flask import Flask, jsonify, make_response, request\n\n\napp = Flask(__name__)\n\nVERSION = (0, 1, 0)\nVERSION_STRING = \"{}.{}.{}\".format(*VERSION)\n\nLANG_ID = \"lang.natural.english\"\n\n\n@app.errorhandler(404)\ndef not_found(error):\n return make_response(jsonify({'error': 'Not found'}), 404)\n\n\n@a... | false |
3,451 | 5cdf8cd4bfebb9aab2e8f421047fc1ba3190d566 | ##
#Author: Stephen
##
import socket
import select
import sys, os
from contextlib import contextmanager
hostip = 'localhost'
hostport = 8089
def connect(hostip=hostip,hostport=hostport):
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
IP_address = hostip
Port = hostport
server.connect((IP_a... | [
"##\n#Author: Stephen\n##\nimport socket\nimport select\nimport sys, os\nfrom contextlib import contextmanager\n\nhostip = 'localhost'\nhostport = 8089\n\ndef connect(hostip=hostip,hostport=hostport):\n server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n IP_address = hostip\n Port = hostport\n ... | false |
3,452 | 15105e22b3c1860735f282a2247ab41b138d75cf | import matplotlib.pyplot as plt
w1 = [(1, 2, 7), (1, 8, 1),
(1, 7, 5), (1, 6, 3),
(1, 7, 8), (1, 5, 9),
(1, 4, 5)]
w2 = [(-1, -4, -2), (-1, 1, 1),
(-1, -1, -3), (-1, -3, 2),
(-1, -5, -3.25), (-1, -2, -4),
(-1, -7, -1)]
dataset = [(1, 2, 7), (1, 8, 1),
(1, 7, 5), (1, 6, 3)... | [
"import matplotlib.pyplot as plt\n\nw1 = [(1, 2, 7), (1, 8, 1),\n (1, 7, 5), (1, 6, 3),\n (1, 7, 8), (1, 5, 9),\n (1, 4, 5)]\nw2 = [(-1, -4, -2), (-1, 1, 1),\n (-1, -1, -3), (-1, -3, 2),\n (-1, -5, -3.25), (-1, -2, -4),\n (-1, -7, -1)]\ndataset = [(1, 2, 7), (1, 8, 1),\n (1, ... | true |
3,453 | 4f54f3e306df3b861124adb4fe544089446e8021 | import unittest
import sys
import matplotlib.pyplot as plotter
import numpy
sys.path.append("/home/adityas/UGA/SensorWeb/scripts/Summer2018/code")
from simulator.component import CPU, DiskIO, Network
class TestComponents(unittest.TestCase):
def setUp(self):
self.cpu = CPU(cycles=5)
self.disk = ... | [
"import unittest\nimport sys\nimport matplotlib.pyplot as plotter\nimport numpy\n\nsys.path.append(\"/home/adityas/UGA/SensorWeb/scripts/Summer2018/code\")\n\nfrom simulator.component import CPU, DiskIO, Network\n\n\nclass TestComponents(unittest.TestCase):\n\n def setUp(self):\n self.cpu = CPU(cycles=5)\... | false |
3,454 | 0d6177660a9b9c22bcf6eb11763e7fe1ee03b46a | #!/usr/bin/env python
# Copyright (c) 2018, University of Stuttgart
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software for any purpose
# with or without fee is hereby granted, provided that the above copyright
# notice and this permission notice appear in all copies.
#
# THE ... | [
"#!/usr/bin/env python\n\n# Copyright (c) 2018, University of Stuttgart\n# All rights reserved.\n#\n# Permission to use, copy, modify, and distribute this software for any purpose\n# with or without fee is hereby granted, provided that the above copyright\n# notice and this permission notice appear in all copi... | false |
3,455 | 3d1f2130043613dc8d5bbd773edd96c87c355de9 | import rambench
rambench.perform_benchmark()
| [
"import rambench\n\nrambench.perform_benchmark()\n",
"import rambench\nrambench.perform_benchmark()\n",
"<import token>\nrambench.perform_benchmark()\n",
"<import token>\n<code token>\n"
] | false |
3,456 | 8010c0d53af6d428f29ff3ce63bcd6b5b811b051 | $ pip install "<package_name> >= 1.1"
| [
"$ pip install \"<package_name> >= 1.1\"\n\n"
] | true |
3,457 | 72286078841c7fe5b297767576741dbbd0a80411 | import pytest
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import extract_tables_columns
def test_get_tables():
sql_str = "SELECT * FROM table1, table2 WHERE table1.column1 = table2.column1;"
assert(extract_tables_columns.get_tables(sql_str)) == [('TA... | [
"import pytest\nimport os\nimport sys\nsys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))\n\nimport extract_tables_columns\n\ndef test_get_tables():\n sql_str = \"SELECT * FROM table1, table2 WHERE table1.column1 = table2.column1;\"\n assert(extract_tables_columns.get_tables(sq... | false |
3,458 | 8a21a7005fb17cc82759079022b540cf4fd062c5 | def search4vowels(word):
""" Return sny vowels founded in a supplied word."""
vowels = set('aeiou')
found = vowels.intersection(set(word))
#return found
for vowels in found:
print(vowels)
| [
"def search4vowels(word):\n \"\"\" Return sny vowels founded in a supplied word.\"\"\"\n vowels = set('aeiou')\n found = vowels.intersection(set(word))\n #return found\n for vowels in found:\n print(vowels)\n",
"def search4vowels(word):\n \"\"\" Return sny vowels founded in a supplied w... | false |
3,459 | cf3b4e2c76091f95d24e8a987a63ece46503d6e8 | import numpy as np
import time
import uuid
from datetime import datetime
log_host = "agent1"
class State:
def __init__(self, path, iterations):
self.path = path
self.iterations = iterations
def run(self):
assert 0, "run not implemented"
class BruteForceAttackState(State):
def ... | [
"import numpy as np\nimport time\nimport uuid\nfrom datetime import datetime\n\n\nlog_host = \"agent1\"\n\n\nclass State:\n def __init__(self, path, iterations):\n self.path = path\n self.iterations = iterations\n\n def run(self):\n assert 0, \"run not implemented\"\n\n\nclass BruteForceA... | false |
3,460 | 3e0bc91b81d0f503b78c9ac685b05b7ecb754e28 | # dealing with the packet fragments and their reconsttruction
import logging
# shut up scapy
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
from scapy.all import *
conf.verb=0
from collections import OrderedDict
pkt_frag_loads = OrderedDict()
def get_load(pkt):
ack = str(pkt[TCP].ack)
seq = str... | [
"# dealing with the packet fragments and their reconsttruction \n\nimport logging\n# shut up scapy\nlogging.getLogger(\"scapy.runtime\").setLevel(logging.ERROR)\nfrom scapy.all import *\nconf.verb=0\nfrom collections import OrderedDict\n\n\npkt_frag_loads = OrderedDict()\n\ndef get_load(pkt):\n ack = str(pkt[TCP... | false |
3,461 | 5b894eac93bff44931df4ef8d845c23071a03227 | import requests
import pandas as pd
import time
def job_spider(jid="1913e38066dd3c8e1Hd40t--FVE~", ka="search_list_1", i=0):
# request info.
job_url = "https://www.zhipin.com/job_detail/" + jid + ".html"
headers = {
'cache-control': "no-cache",
'user-agent': 'Mozilla/5.0 (Windows NT 10.0;... | [
"import requests\nimport pandas as pd\nimport time\n\n\ndef job_spider(jid=\"1913e38066dd3c8e1Hd40t--FVE~\", ka=\"search_list_1\", i=0):\n # request info.\n job_url = \"https://www.zhipin.com/job_detail/\" + jid + \".html\"\n\n headers = {\n 'cache-control': \"no-cache\",\n 'user-agent': 'Moz... | false |
3,462 | e434d5519e3ba4255ed928769070de391cb0955b | import glob
import html
import os
import re
import sys
import textwrap
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
import pycountry
import requests
from pyd2v import D2V
from pymediainfo import MediaInfo, Track
from pynfogen.formatter import CustomFormats
class NFO:
AUDIO... | [
"import glob\nimport html\nimport os\nimport re\nimport sys\nimport textwrap\nfrom pathlib import Path\nfrom typing import Any, Dict, List, Optional, Tuple, Union\n\nimport pycountry\nimport requests\nfrom pyd2v import D2V\nfrom pymediainfo import MediaInfo, Track\n\nfrom pynfogen.formatter import CustomFormats\n\n... | false |
3,463 | bbbbf0e1bbd7ead034d8cd88ee6a09a61cde7803 | #!/usr/bin/env python
import pyaudio
import wave
import winshell
"""
This script accesses the Laptop's microphone using the library pyaudio and opens a stream to record the voice
and writes it to an mp3 file
"""
def start():
try:
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RA... | [
"#!/usr/bin/env python\nimport pyaudio\nimport wave\nimport winshell\n\n\"\"\"\nThis script accesses the Laptop's microphone using the library pyaudio and opens a stream to record the voice\nand writes it to an mp3 file\n\"\"\"\ndef start():\n try:\n CHUNK = 1024\n FORMAT = pyaudio.paInt16\n ... | false |
3,464 | 4a0cbd59ffae4fb5ba6e3bd871231e37065d1aed | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
created by gjwei on 3/26/17
"""
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
a = ListNode(1)
a.next = ListNode(3)
a.next = None
print a.val
print a.next
def main():
print "hello"
a = []
for i in r... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\" \n created by gjwei on 3/26/17\n \n\"\"\"\nclass ListNode(object):\n def __init__(self, x):\n self.val = x\n self.next = None\n\n\na = ListNode(1)\na.next = ListNode(3)\n\na.next = None\nprint a.val\nprint a.next\n\n\ndef main():\n print \... | true |
3,465 | b7511c156c241accaf1668d83ee0a5263b41af0d | 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... | [
"from django.db import models\nfrom django.contrib.auth.models import AbstractUser\nfrom django.core.validators import MinLengthValidator, MaxLengthValidator, RegexValidator\n\nfrom pizzaclub.settings import MAX_DNI_LENGTH, MAX_CUIL_LENGTH, PASSWORD_RESET_TIMEOUT\nfrom pizzaclub.settings import MIN_DNI_LENGTH, MIN_... | false |
3,466 | 6b7ff00eb9a5d0837def5b245ba2d4a0acec972e | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-15 15:20
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('challenges', '0019_auto_20170310_1114'),
]
operations = [
migrations.AddFie... | [
"# -*- coding: utf-8 -*-\n# Generated by Django 1.10.5 on 2017-03-15 15:20\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('challenges', '0019_auto_20170310_1114'),\n ]\n\n operations = [\n ... | false |
3,467 | 72cda573bf9c744213a2957d51171f437f211353 | import serial
import time
from Files_management import get_mov_parameters,change_mov_parameters
#-------------------------------------------------------------------------------
def create_port():
port = get_mov_parameters()[1]
try:
ser = serial.Serial(port=port,baudrate=9600,timeout=1)
return s... | [
"import serial\nimport time\nfrom Files_management import get_mov_parameters,change_mov_parameters\n\n#-------------------------------------------------------------------------------\ndef create_port():\n port = get_mov_parameters()[1]\n try:\n ser = serial.Serial(port=port,baudrate=9600,timeout=1)\n ... | false |
3,468 | c773b273ad6953bf9c74b11c44aff16e9fd0860e | # coding=utf-8
# Copyright 2021-Present The THUCTC Authors
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import torch
import torch.nn as nn
import thuctc.utils as utils
from thuctc.modules.module import Module
from thuctc.modules.layer_norm ... | [
"# coding=utf-8\n# Copyright 2021-Present The THUCTC Authors\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport math\nimport torch\n\nimport torch.nn as nn\nimport thuctc.utils as utils\n\nfrom thuctc.modules.module import Module\nfrom thuctc.... | false |
3,469 | 2cfc1bea6dd1571eff67c3f49b2a1899560c7ba7 | def koodrinate(kraj, kraji):
for ime, x, y in kraji:
if ime == kraj:
return x, y
kraji = {
'Brežice': (68.66, 7.04),
'Lenart': (85.20, 78.75),
'Rateče': (-65.04, 70.04),
'Ljutomer': (111.26, 71.82),
'Rogaška Slatina': (71.00, 42.00),
'Ribnica': (7.10, -10.50),
'Duto... | [
"def koodrinate(kraj, kraji):\n for ime, x, y in kraji:\n if ime == kraj:\n return x, y\n\n\nkraji = {\n 'Brežice': (68.66, 7.04),\n 'Lenart': (85.20, 78.75),\n 'Rateče': (-65.04, 70.04),\n 'Ljutomer': (111.26, 71.82),\n 'Rogaška Slatina': (71.00, 42.00),\n 'Ribnica': (7.10, -... | false |
3,470 | 9be6940fc6f405db652d478f9a74fcf56d8a0ad7 | from django.urls import path
from . import views # . current directory
urlpatterns = [
path("", views.index, name="index"),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path("menu", views.menu, name="menu"),
path("add_item", views.add_item, name="... | [
"from django.urls import path\nfrom . import views # . current directory\n\nurlpatterns = [\n path(\"\", views.index, name=\"index\"),\n path(\"login\", views.login_view, name=\"login\"),\n path(\"logout\", views.logout_view, name=\"logout\"),\n path(\"menu\", views.menu, name=\"menu\"),\n path(\"add... | false |
3,471 | b66142e0b674d3920b8e3ad74e0d0b753f0a78c3 | from .embedpeek import EmbedPeek
__red_end_user_data_statement__ = "This cog does not persistently store data or metadata about users."
def setup(bot):
bot.add_cog(EmbedPeek(bot))
| [
"from .embedpeek import EmbedPeek\n\n__red_end_user_data_statement__ = \"This cog does not persistently store data or metadata about users.\"\n\n\ndef setup(bot):\n bot.add_cog(EmbedPeek(bot))\n",
"from .embedpeek import EmbedPeek\n__red_end_user_data_statement__ = (\n 'This cog does not persistently store ... | false |
3,472 | 09417014963172fc71b4268aafdec1405c04f34d | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.cluster import KMeans
from kneed import KneeLocator
#Create a panda data frame from the csv file
df = pd.read_csv('ClusterPlot.csv', usecols=['V1','V2'])
#Convert the panda data frame to a NumPy array
arr = df.to_numpy()
#Code used t... | [
"import pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom sklearn.cluster import KMeans\nfrom kneed import KneeLocator\n\n#Create a panda data frame from the csv file\ndf = pd.read_csv('ClusterPlot.csv', usecols=['V1','V2'])\n\n#Convert the panda data frame to a NumPy array\narr = df.to_numpy(... | false |
3,473 | 41889456fbb56d263e0039716519e8959316b67e | #! /usr/bin/env python
#
# Copyright (c) 2015 Jason Ish
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this li... | [
"#! /usr/bin/env python\n#\n# Copyright (c) 2015 Jason Ish\n# All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions\n# are met:\n#\n# 1. Redistributions of source code must retain the above copyright\n# ... | false |
3,474 | 40b1fac14aaa81039aec8e80ce1c91bb881cfe78 | debt = 100
equity = 50
ratio = debt / equity
if ratio <= 2:
print('😊')
else:
print('⚠️')
print('Ratio is', ratio)
| [
"debt = 100\nequity = 50\n\nratio = debt / equity\n\nif ratio <= 2:\n print('😊')\nelse:\n print('⚠️')\n\nprint('Ratio is', ratio)\n",
"debt = 100\nequity = 50\nratio = debt / equity\nif ratio <= 2:\n print('😊')\nelse:\n print('⚠️')\nprint('Ratio is', ratio)\n",
"<assignment token>\nif ratio <= 2:\... | false |
3,475 | 303e1b95c2ca60041a34b8c09e013849112a108d | import matplotlib.image as mpimg
import cv2
import rasterio
from ode_data_access.image_utils import view_as_blocks, is_black, align_and_crop
import os
import numpy as np
from tqdm import tqdm
class ChunkProcessor:
def write_result_blocks(self, result_blocks, window, product_name, chunk_size, save_dir=... | [
"import matplotlib.image as mpimg\r\nimport cv2\r\nimport rasterio\r\nfrom ode_data_access.image_utils import view_as_blocks, is_black, align_and_crop\r\nimport os\r\nimport numpy as np\r\nfrom tqdm import tqdm\r\n\r\n\r\nclass ChunkProcessor:\r\n\r\n def write_result_blocks(self, result_blocks, window, product_... | false |
3,476 | 883cb1e3ea227bb5ac5aa3b4348336ab1a7fba70 | import pygame
import numpy as np
import glob
from entities.base import AnimatedSprite
images_path = sorted(glob.glob('./resources/trophy_sparkle_*.png'))
trophy_im_dict = {'sparkle':[pygame.transform.scale(pygame.image.load(img_path),(400,400)) for img_path in images_path]}
class Trophy(AnimatedSprite):
def __in... | [
"import pygame\nimport numpy as np\nimport glob\nfrom entities.base import AnimatedSprite\n\n\nimages_path = sorted(glob.glob('./resources/trophy_sparkle_*.png'))\ntrophy_im_dict = {'sparkle':[pygame.transform.scale(pygame.image.load(img_path),(400,400)) for img_path in images_path]}\n\nclass Trophy(AnimatedSprite)... | false |
3,477 | ca91052072d7b2da5729cf55f7f4ba4b54608017 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 13 11:43:58 2020
@author: Dr. Tang
"""
import tensorflow as tf
# 需要你编程：将下面转换成tensorflow
#x = 10
#y = 2
#u=x/y
#z = u- 1
x=tf.placeholder(tf.int32)
y=tf.placeholder(tf.int32)
u=tf.divide(x,y)
z=tf.subtract(u,tf.constant(1.0,dtype=tf.float64))
# 需要你编程：从session中打印 z
with t... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Mon Jul 13 11:43:58 2020\n\n@author: Dr. Tang\n\"\"\"\n\nimport tensorflow as tf\n# 需要你编程：将下面转换成tensorflow\n#x = 10\n#y = 2\n#u=x/y\n#z = u- 1\n\nx=tf.placeholder(tf.int32)\ny=tf.placeholder(tf.int32)\nu=tf.divide(x,y)\nz=tf.subtract(u,tf.constant(1.0,dtype=tf.float64))\... | false |
3,478 | ee3718dee869a58089e897489af2eec3ff72be56 | 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... | [
"from django.shortcuts import render\nfrom post.models import *\nfrom .models import *\nfrom django.core.paginator import EmptyPage, PageNotAnInteger, Paginator\nfrom account.models import Profile\nfrom django.contrib.auth.models import User\nfrom django.db.models import Q\n\n# Create your views here.\ndef index(re... | false |
3,479 | 66f8fa5fc12dc80b8f46684c39781c2e4634de4a | # -*- coding:utf-8 -*-
import requests
import json
def fun1():
s_cut = [('72af8ecf3609a546bac3150c20f70455', ['老凤祥', '六福珠宝', '周生生', '亚一珠宝', '亚一金店']),
('3e78397f7dbb88ffbd78ba52d0e925fa', ['老庙', '谢瑞麟', '中国黄金', '明牌珠宝']), # yh
('6bee32b2f0719ea45cc194847efd8917', ['周大福', '潮宏基', '东华美钻', '周... | [
"# -*- coding:utf-8 -*-\n\nimport requests\nimport json\n\n\ndef fun1():\n s_cut = [('72af8ecf3609a546bac3150c20f70455', ['老凤祥', '六福珠宝', '周生生', '亚一珠宝', '亚一金店']),\n ('3e78397f7dbb88ffbd78ba52d0e925fa', ['老庙', '谢瑞麟', '中国黄金', '明牌珠宝']), # yh\n ('6bee32b2f0719ea45cc194847efd8917', ['周大福', '潮宏... | false |
3,480 | 25d210144ef209fd5e4ff7e4e4c2e77fd7eb79ac | # Copyright 2017 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
DEPS = [
'step',
]
def RunSteps(api):
try:
api.step('test step', [{}])
except AssertionError as e:
assert str(e) == 'Type <type \'... | [
"# Copyright 2017 The LUCI Authors. All rights reserved.\n# Use of this source code is governed under the Apache License, Version 2.0\n# that can be found in the LICENSE file.\n\nDEPS = [\n 'step',\n]\n\n\ndef RunSteps(api):\n try:\n api.step('test step', [{}])\n except AssertionError as e:\n assert str(e)... | false |
3,481 | de3e952ad43fe7e323e8f975a45bbd4eec7192db | class Node(object):
def __init__(self, d, n=None):
self.data = d
self.next_node = n
def get_data(self):
return self.data
def set_data(self, d):
self.data = d
def get_next(self):
return self.next_node
def set_next(self, n):
self.next_node=n
class... | [
"class Node(object):\n\n def __init__(self, d, n=None):\n self.data = d\n self.next_node = n\n\n def get_data(self):\n return self.data\n\n def set_data(self, d):\n self.data = d\n\n def get_next(self):\n return self.next_node\n\n def set_next(self, n):\n sel... | true |
3,482 | 15fea8a84accdfc2dac87c111cbe8bfca61fe801 | import sys
from pprint import pprint
sys.stdin = open("sample_input.txt", "r")
test_case = int(input())
"""
for test in range(test_case):
nxn_array, palin_len = map(int, input().split())
## 2차 배열 만들기 => 행스트링 리스트
order_2nd_array = []
for i in range(nxn_array):
order_2nd_array.append(input())
... | [
"import sys\nfrom pprint import pprint\nsys.stdin = open(\"sample_input.txt\", \"r\")\n\n\ntest_case = int(input())\n\n\"\"\"\nfor test in range(test_case):\n nxn_array, palin_len = map(int, input().split())\n\n ## 2차 배열 만들기 => 행스트링 리스트\n order_2nd_array = []\n for i in range(nxn_array):\n order_... | false |
3,483 | ca0bca24509df2bf0bd07fb2f31d3e7909957405 | # coding: utf-8
from datetime import datetime
#from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from django.utils import timezone
from persol_users.models import PersolUser
from django.db.models import Q, Count
# アンケート
from questions.m... | [
"# coding: utf-8\nfrom datetime import datetime\n\n#from __future__ import unicode_literals\n\nfrom django.db import models\nfrom django.utils.encoding import python_2_unicode_compatible\nfrom django.utils import timezone\nfrom persol_users.models import PersolUser\nfrom django.db.models import Q, Count\n\n# アンケート\... | false |
3,484 | ab3609c27fa002d79735c5d5c09ec7a52fedd040 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-07 23:42
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('events', '0005_auto_20160207_1529'),
]
operations = [
migrations.AddField(
... | [
"# -*- coding: utf-8 -*-\n# Generated by Django 1.9.2 on 2016-02-07 23:42\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('events', '0005_auto_20160207_1529'),\n ]\n\n operations = [\n mig... | false |
3,485 | df3dcbf3c8d621f5db2a07765a0a28e7626387d9 | #!/usr/bin/env python3
# Rhino Motor Driver (RMCS 2303) - Basic Modbus Communication
# -----------------------------------------------------------
"""
BSD 3-Clause License
Copyright (c) 2021, Rajesh Subramanian
All rights reserved.
Redistribution and use in source and binary forms, with or without
... | [
"#!/usr/bin/env python3\n\n# Rhino Motor Driver (RMCS 2303) - Basic Modbus Communication\n# -----------------------------------------------------------\n\n\"\"\"\n BSD 3-Clause License\n\n Copyright (c) 2021, Rajesh Subramanian\n All rights reserved.\n\n Redistribution and use in source and binary forms... | false |
3,486 | 53dd753356d8a8d60975c8f4cdaf20de66c2db46 | import times_series_learning as tsl
import numpy as np
import time
import datetime as dt
import sortedcontainers
import pandas as pd
from collections import defaultdict
class ServerProfileLearning(object):
def __init__(self, data, parameters, distribution, distribution_period, level_threshold,
p... | [
"import times_series_learning as tsl\nimport numpy as np\nimport time\nimport datetime as dt\nimport sortedcontainers\nimport pandas as pd\nfrom collections import defaultdict\n\n\nclass ServerProfileLearning(object):\n\n def __init__(self, data, parameters, distribution, distribution_period, level_threshold,\n ... | false |
3,487 | 0d3cc85cd18ee197b24c8b01b71afe82110bfad2 | """
Stirng - Liste - Dosya
- Fonksiyon yazıyoruz.
- Bu fonksiyon iki parametre alacak. (dosya, string)
1. sorun : Dosyanın içinde string var ise True döndürecek yok ise False
2. sorun : Dosyanın içinde string bulunursa ilk bulunduğu konumu return edecek
3. sorun : Dosyanın içerisinde yazdığımız strinng kaç k... | [
"\"\"\"\nStirng - Liste - Dosya\n - Fonksiyon yazıyoruz.\n - Bu fonksiyon iki parametre alacak. (dosya, string)\n 1. sorun : Dosyanın içinde string var ise True döndürecek yok ise False \n 2. sorun : Dosyanın içinde string bulunursa ilk bulunduğu konumu return edecek\n 3. sorun : Dosyanın içerisinde yazdığımız... | false |
3,488 | f047afeb6462ab01a8fea1f3c8693608335eb960 | import discord
from discord.ext import commands
from discord.ext.commands import Bot
import asyncio
import random
import requests
import os
#Discord Tech Stuff
BOT_PREFIX = ("!")
client = discord.Client()
client = Bot(command_prefix=BOT_PREFIX)
#Functions of the Funny Coin
@client.command()
async def wasitfunny():... | [
"import discord\nfrom discord.ext import commands\nfrom discord.ext.commands import Bot\nimport asyncio\nimport random\nimport requests\nimport os\n\n\n#Discord Tech Stuff\nBOT_PREFIX = (\"!\")\n\n\nclient = discord.Client()\nclient = Bot(command_prefix=BOT_PREFIX)\n\n#Functions of the Funny Coin\n@client.command()... | false |
3,489 | acd5cf675522c90fc9fbc96bdeb52f66835626b4 | permissions = ('restart', )
commands = ('restart', )
def get_command(session, parsed_message):
return 'stop', 'restart'
def parse_response(permission, response):
return response
| [
"permissions = ('restart', )\ncommands = ('restart', )\n\n\ndef get_command(session, parsed_message):\n return 'stop', 'restart'\n\n\ndef parse_response(permission, response):\n return response\n",
"permissions = 'restart',\ncommands = 'restart',\n\n\ndef get_command(session, parsed_message):\n return 's... | false |
3,490 | 57d1fb805fce2ba75ea2962598e809ba35fd7eb6 | # Copyright 2008 Google Inc.
#
# 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 applicable law or agreed to in writing,... | [
"# Copyright 2008 Google Inc.\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# Unless required by applicable law or agreed... | false |
3,491 | 31d87b11f6a1f6304a2fef6dd1cd1c0ca292dfe8 | import os
import random
import cv2
import tensorflow as tf
import tensorflow.contrib.slim as slim
import tensorflow.contrib.slim.nets as nets
from skimage.transform import resize
import PIL
import numpy as np
import json
# os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import matplotlib.pyplot as plt
# plt.switch_backend('... | [
"import os\nimport random\n\nimport cv2\nimport tensorflow as tf\nimport tensorflow.contrib.slim as slim\nimport tensorflow.contrib.slim.nets as nets\nfrom skimage.transform import resize\nimport PIL\nimport numpy as np\nimport json\n# os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"1\"\nimport matplotlib.pyplot as plt\n\... | false |
3,492 | 237724db5130926123a3a31be7070947ec7b01f3 | import sys
import smtplib
from email.mime.text import MIMEText
from email.utils import formatdate
from ... import config
def create_message(from_addr, to_addr, subject, message, encoding):
body = MIMEText(message, 'plain', encoding)
body['Subject'] = subject
body['From'] = from_addr
body['To'] = to_add... | [
"import sys\nimport smtplib\nfrom email.mime.text import MIMEText\nfrom email.utils import formatdate\nfrom ... import config\n\ndef create_message(from_addr, to_addr, subject, message, encoding):\n body = MIMEText(message, 'plain', encoding)\n body['Subject'] = subject\n body['From'] = from_addr\n body... | false |
3,493 | 7b4f46f6c286a7d0ef45079b2fd238b81d5f89eb | import cv2 #imports cv2 package
import numpy as np #imports numpy package
import matplotlib.pyplot as plt #imports matplotlib.pyplot package
img_noblur = cv2.imread('road8.jpg') #reads the image
imgnew = img_noblur.copy() #creates a copy of the image
img_noblur_grey = cv2.cvtColor(img_noblu... | [
"import cv2\t\t\t\t\t\t\t\t\t\t#imports cv2 package\nimport numpy as np \t\t\t\t\t\t\t\t#imports numpy package\nimport matplotlib.pyplot as plt \t\t\t\t#imports matplotlib.pyplot package\n\nimg_noblur = cv2.imread('road8.jpg')\t\t\t#reads the image\nimgnew = img_noblur.copy()\t\t\t\t\t\t#creates a copy of the image... | false |
3,494 | 1bb151171bbbb899456324056be3634e87b5c8fb | from floppy.node import Node, Input, Output, Tag, abstractNode
@abstractNode
class StringNode(Node):
Tag('StringOperations')
class StringAppend(StringNode):
"""
Creates a new node which combines two strings. These can be seperated by a delimiter.
:param nodeClass: subclass object of 'Node'.
:retur... | [
"from floppy.node import Node, Input, Output, Tag, abstractNode\n\n@abstractNode\nclass StringNode(Node):\n Tag('StringOperations')\n\nclass StringAppend(StringNode):\n \"\"\"\n Creates a new node which combines two strings. These can be seperated by a delimiter.\n :param nodeClass: subclass object of '... | false |
3,495 | 315996a783d7b95fd87374a8fe2602a572de071e | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import codecs
import time
import json
import os
class OitYitikuscrapyDataPipeline(object):
def open_spider(self, spider):
... | [
"# -*- coding: utf-8 -*-\n\n# Define your item pipelines here\n#\n# Don't forget to add your pipeline to the ITEM_PIPELINES setting\n# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html\nimport codecs\nimport time\nimport json\nimport os\n\nclass OitYitikuscrapyDataPipeline(object):\n def open_spider... | false |
3,496 | b03960999fa30a55932ada7fbf731a3861b840ae | n = int(input())
lista = []
for i in range(n):
inp = int(input())
lista.append(inp)
lista.sort(reverse=True)
print(lista[0])
print(lista[1]) | [
"n = int(input())\nlista = []\n\nfor i in range(n):\n inp = int(input())\n lista.append(inp)\n\nlista.sort(reverse=True)\n\nprint(lista[0])\nprint(lista[1])",
"n = int(input())\nlista = []\nfor i in range(n):\n inp = int(input())\n lista.append(inp)\nlista.sort(reverse=True)\nprint(lista[0])\nprint(lista[... | false |
3,497 | 5229002103379ff10969e64289d5a0f36641c0a3 | auto_duration_sec = 15
teleop_duration_sec = 135 | [
"auto_duration_sec = 15\nteleop_duration_sec = 135",
"auto_duration_sec = 15\nteleop_duration_sec = 135\n",
"<assignment token>\n"
] | false |
3,498 | c45ffe8cba8d152e346182252dbc43e22eaf83e2 | from rest_framework.views import APIView
from rest_framework.response import Response
from drf_yasg.utils import swagger_auto_schema
from theme.models import UserProfile
from hs_core.views import serializers
class UserInfo(APIView):
@swagger_auto_schema(operation_description="Get information about the logged in ... | [
"from rest_framework.views import APIView\nfrom rest_framework.response import Response\nfrom drf_yasg.utils import swagger_auto_schema\n\nfrom theme.models import UserProfile\nfrom hs_core.views import serializers\n\n\nclass UserInfo(APIView):\n @swagger_auto_schema(operation_description=\"Get information about... | false |
3,499 | a2344f405aa681daff12166b7aad1230652373de | from . import match
from . import mimetype
from .mimetype import MIMEType
def sniff_unknown(resource: bytes, sniff_scriptable: bool = False): #might need more arguments
raise NotImplementedError
def sniff_mislabeled_binary(resource: bytes) -> MIMEType:
raise NotImplementedError
def sniff_mislabeled_feed(reso... | [
"from . import match\nfrom . import mimetype\nfrom .mimetype import MIMEType\n\ndef sniff_unknown(resource: bytes, sniff_scriptable: bool = False): #might need more arguments\n raise NotImplementedError\n\ndef sniff_mislabeled_binary(resource: bytes) -> MIMEType:\n raise NotImplementedError\n\ndef sniff_misla... | false |
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