index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
7,400 | 90fc6590dab51141124ca73082b8d937008ae782 | """Файл, который запускается при python qtester
""" | [
"\"\"\"Файл, который запускается при python qtester\n\"\"\"",
"<docstring token>\n"
] | false |
7,401 | f024b0736f5fcdebede8d5b0985cf9d7170db8fc | api_key = "your_key"
| [
"api_key = \"your_key\"\n",
"api_key = 'your_key'\n",
"<assignment token>\n"
] | false |
7,402 | 810e9e4b18ff8cb388f9e16607b8ab3389a9831d | def add_route_distance(routes, cities, source):
c = source.split()
citykey = c[0] + ':' + c[2]
cities.add(c[0])
routes[citykey] = c[4]
def get_route_distance(routes, source, dest):
if (source+":"+dest in routes):
return routes[source+":"+dest]
else:
return routes[dest+":"+sourc... | [
"def add_route_distance(routes, cities, source):\n c = source.split()\n citykey = c[0] + ':' + c[2]\n cities.add(c[0])\n routes[citykey] = c[4]\n\n\ndef get_route_distance(routes, source, dest):\n if (source+\":\"+dest in routes):\n return routes[source+\":\"+dest]\n else:\n return r... | false |
7,403 | 34acb6da1dc9403a311ce3bca0a828a77b7b36da | """Some random mathematical helper functions.
"""
from __future__ import division, print_function
import math
# STATISTICS
def mean(L):
"""Calculate mean of given List"""
return sum(L) / len(L)
def variance(L, is_sample=0):
"""calculate variance (or sample variance) of given List"""
m = mean(L)
return sum((x... | [
"\"\"\"Some random mathematical helper functions.\n\"\"\"\n\nfrom __future__ import division, print_function\nimport math\n\n\n# STATISTICS\n\ndef mean(L):\n\t\"\"\"Calculate mean of given List\"\"\"\n\treturn sum(L) / len(L)\n\t\ndef variance(L, is_sample=0):\n\t\"\"\"calculate variance (or sample variance) of giv... | false |
7,404 | b111d799b9e71cf36253c37f83dc0cdc8887a32e | # -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (C) 2014 Agile Business Group sagl (<http://www.agilebg.com>)
# Author: Nicola Malcontenti <nicola.malcontenti@agilebg.com>
#
# This program is free software: you can redistribute it and/or modi... | [
"# -*- coding: utf-8 -*-\n##############################################################################\n#\n# Copyright (C) 2014 Agile Business Group sagl (<http://www.agilebg.com>)\n# Author: Nicola Malcontenti <nicola.malcontenti@agilebg.com>\n#\n# This program is free software: you can redistribute it ... | false |
7,405 | 83ebebbb6191295adcb58b003bf1c3bcc6fb189f | from selenium import webdriver
import time
def test_check_error_page_1():
try:
link = "http://suninjuly.github.io/registration1.html"
browser = webdriver.Chrome()
browser.get(link)
# Проверяем Fisrt name*
field_text = browser.find_element_by_xpath(
'//body/div/f... | [
"from selenium import webdriver\nimport time\n\ndef test_check_error_page_1():\n try:\n link = \"http://suninjuly.github.io/registration1.html\"\n browser = webdriver.Chrome()\n browser.get(link)\n\n # Проверяем Fisrt name*\n field_text = browser.find_element_by_xpath(\n ... | false |
7,406 | c1bcce809aa073ecd6e64dfa65ead9bd48aee3ff | from ui.pages import BasePage
from ui.locators.login_page_locators import LoginPageLocators
class LoginPage(BasePage, LoginPageLocators):
def __init__(self, driver=None):
super(LoginPage, self).__init__(driver=driver)
self.identifier = self.IDENTIFIER
def login(self, email=None, password=Non... | [
"from ui.pages import BasePage\nfrom ui.locators.login_page_locators import LoginPageLocators\n\n\nclass LoginPage(BasePage, LoginPageLocators):\n\n def __init__(self, driver=None):\n super(LoginPage, self).__init__(driver=driver)\n self.identifier = self.IDENTIFIER\n\n def login(self, email=Non... | false |
7,407 | a62dd287f9fc6f79ef95a3de83f52c794efe00a7 |
import math
import turtle
wn = turtle.Screen()
wn.bgcolor('lightblue')
PI=3.14
R_outer=50
R_inner=200
fred = turtle.Turtle()
fred.speed(99999)
def cycloid(r, k, nos_cycle, direction):
n=36
angle=2*PI/n
x=1
y=0
for i in range(nos_cycle*n):
beta = i * angle
x = r*(beta-math.sin(beta))
... | [
"\nimport math\nimport turtle\n\nwn = turtle.Screen()\nwn.bgcolor('lightblue')\nPI=3.14\nR_outer=50\nR_inner=200\n\nfred = turtle.Turtle()\nfred.speed(99999)\n\ndef cycloid(r, k, nos_cycle, direction):\n n=36\n angle=2*PI/n\n x=1\n y=0\n for i in range(nos_cycle*n):\n\t beta = i * angle \n\t x = ... | true |
7,408 | 34a7fd66a9e2eae25994336f22a76c24c11a6e1b |
from django.urls import path
from admin_panel import views
urlpatterns = [
path('admin_panel/', views.AdminPanel.as_view(), name='admin_panel'),
path('admin_panel/connection/', views.Connection.as_view(), name='connect_group-teacher'),
path('admin_panel/connection/<str:choiced_departament>', views.Conne... | [
"\nfrom django.urls import path\n\nfrom admin_panel import views\n\nurlpatterns = [\n\n path('admin_panel/', views.AdminPanel.as_view(), name='admin_panel'),\n path('admin_panel/connection/', views.Connection.as_view(), name='connect_group-teacher'),\n path('admin_panel/connection/<str:choiced_departament>... | false |
7,409 | c420fb855fbf5691798eadca476b6eccec4aee57 | points_dict = {
'+': 5,
'-': 4,
'*': 3,
'/': 2,
'(': -1,
}
op_list = ['+','-','*','/']
def fitness(x1,op,x2):
#Mengembalikan point dari penyambungan expresi dengan operasi dan bilangan berikutnya
try:
hasil = eval(f"{x1} {op} {x2}")
diff = points_dict[op] - abs(24-hasil)
... | [
"points_dict = {\n '+': 5,\n '-': 4,\n '*': 3,\n '/': 2,\n '(': -1,\n}\n\nop_list = ['+','-','*','/']\n\ndef fitness(x1,op,x2):\n #Mengembalikan point dari penyambungan expresi dengan operasi dan bilangan berikutnya\n try:\n hasil = eval(f\"{x1} {op} {x2}\")\n diff = points_dict[o... | false |
7,410 | ea4e4c8067d9e910b8d4c6a1c4c01f1ef70d7341 | /home/pushkar/anaconda3/lib/python3.6/_bootlocale.py | [
"/home/pushkar/anaconda3/lib/python3.6/_bootlocale.py"
] | true |
7,411 | 9dfb3f58127b30467651ac4209277cd947643c65 | from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse
from django.contrib import messages
# Create your views here.
from User.models import User, check_if_auth_user
from .models import Chat
# def recv_chat(request, id = None):
# check = check_if_auth_user(request)
# if... | [
"from django.shortcuts import render, redirect, get_object_or_404\nfrom django.http import HttpResponse\nfrom django.contrib import messages\n# Create your views here.\nfrom User.models import User, check_if_auth_user\nfrom .models import Chat\n\n# def recv_chat(request, id = None):\n# \tcheck = check_if_auth_user(... | false |
7,412 | db9068e54607e9df48328435ef07f15b4c25a6db | # %matplotlib inline
import tensorflow as tf
#import tensorflow.keras as K
import numpy as np
import math
import matplotlib
matplotlib.use('GTKAgg')
import matplotlib.pyplot as plt
# from keras import backend as K
from keras.models import Sequential, load_model
# from K.models import Sequential, load_model
from keras.... | [
"# %matplotlib inline\nimport tensorflow as tf\n#import tensorflow.keras as K\nimport numpy as np\nimport math\nimport matplotlib\nmatplotlib.use('GTKAgg')\nimport matplotlib.pyplot as plt\n\n# from keras import backend as K\nfrom keras.models import Sequential, load_model\n# from K.models import Sequential, load_m... | false |
7,413 | e839eba2514c29a8cfec462f8d5f56d1d5712c34 | #!/usr/bin/env python
import argparse
import http.server
import os
class SimpleHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
def log_message(*args, **kwargs): pass
parser = argparse.ArgumentParser()
parser.add_argument('port', action='store',
# default=8000, type=int,
... | [
"#!/usr/bin/env python\n\nimport argparse\nimport http.server\nimport os\n\nclass SimpleHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):\n def log_message(*args, **kwargs): pass\n\nparser = argparse.ArgumentParser()\nparser.add_argument('port', action='store',\n # default=8000, type=i... | false |
7,414 | 48270f70a9d69d15f808f22ec2d11d337b2c4845 | def densenet(D,DT,F,model):
import scipy.io as sio
import time
import os
import math
import numpy as np
import matplotlib.pyplot as plt
Dataset = D
if DT == 'org':
data_type = 'original'
else:
data_type = 'augmented'
fs = model.fs
fm1 = model.fm1
batch_size = model.ba... | [
"def densenet(D,DT,F,model):\r\n import scipy.io as sio\r\n import time\r\n import os\r\n import math\r\n import numpy as np\r\n import matplotlib.pyplot as plt\r\n\r\n\r\n Dataset = D\r\n if DT == 'org':\r\n data_type = 'original'\r\n else:\r\n data_type = 'augmented'\r\n\r\n fs = model.fs\r\n fm1... | false |
7,415 | 28bf11cb4205dd186b84cc7b7c8b9009f35fe408 | # This simulation obtains dose on a cylindical disk phantom at various
# distances from a 14MeV photon source. Dose in millisieverts is found
# and compared to the yearly limit
# The model is built to have a human tissue and human height and volume which
# is typically referred to as a phantom.
# source details based... | [
"# This simulation obtains dose on a cylindical disk phantom at various\n# distances from a 14MeV photon source. Dose in millisieverts is found\n# and compared to the yearly limit\n\n# The model is built to have a human tissue and human height and volume which\n# is typically referred to as a phantom.\n\n# source d... | false |
7,416 | f6bfb055e1c1750702580fc9c9295b8528218910 | # 给定一个正整数 n，生成一个包含 1 到 n2 所有元素，且元素按顺时针顺序螺旋排列的正方形矩阵。
#
# DEMO:
# 输入: 3
# 输出:
# [
# [ 1, 2, 3 ],
# [ 8, 9, 4 ],
# [ 7, 6, 5 ]
# ]
class Solution:
def generateMatrix(self, n):
"""
与 54 思路类似，注意边界...
:type n: int
:rtype: List[List[int]]
"""
array = [[0 for _ in ran... | [
"# 给定一个正整数 n，生成一个包含 1 到 n2 所有元素，且元素按顺时针顺序螺旋排列的正方形矩阵。\n#\n# DEMO:\n# 输入: 3\n# 输出:\n# [\n# [ 1, 2, 3 ],\n# [ 8, 9, 4 ],\n# [ 7, 6, 5 ]\n# ]\n\nclass Solution:\n def generateMatrix(self, n):\n \"\"\"\n 与 54 思路类似，注意边界...\n :type n: int\n :rtype: List[List[int]]\n \"\"\"\n ... | false |
7,417 | f6d4208afee7aacd96ea5ae6c9e38d2876466703 | import os
def mini100(videopath, minipath,mod='train'):
with open(videopath, 'r') as video_f:
all_videos = video_f.readlines()
#if mod=='train':
# count = [400 for _ in range(0,100)]
#else:
# count = [25 for _ in range(0,100)]
count = [0 for _ in range(0,100)]
... | [
"import os\n\ndef mini100(videopath, minipath,mod='train'):\n with open(videopath, 'r') as video_f:\n all_videos = video_f.readlines()\n #if mod=='train':\n # count = [400 for _ in range(0,100)]\n #else:\n # count = [25 for _ in range(0,100)]\n count = [0 for _ in ... | false |
7,418 | 8aa35bcaa4e564306125b37c70a8a92f26da736d |
import pickle
from absl import flags
from absl import app
from absl import logging
import time
import numpy as np
FLAGS = flags.FLAGS
flags.DEFINE_string('sent2vec_dir', '2020-04-10/sent2vec/', 'out path')
flags.DEFINE_integer('num_chunks', 36, 'how many files')
flags.DEFINE_string('out_dir', '2020-04-10/', 'out pat... | [
"\nimport pickle\n\nfrom absl import flags\nfrom absl import app\nfrom absl import logging\nimport time\nimport numpy as np\n\nFLAGS = flags.FLAGS\nflags.DEFINE_string('sent2vec_dir', '2020-04-10/sent2vec/', 'out path')\nflags.DEFINE_integer('num_chunks', 36, 'how many files')\nflags.DEFINE_string('out_dir', '2020-... | false |
7,419 | bf8a524e54aa866c8293a93b2321335f2c7b0850 | from .checklist_mixin import ChecklistMixin
from .citation_mixin import CitationMixin
from .license_mixin import LicenseMixin
from .registry_mixin import RegistryMixin
from .repository_mixin import RepositoryMixin
__all__ = [
"RepositoryMixin",
"LicenseMixin",
"RegistryMixin",
"CitationMixin",
"Ch... | [
"from .checklist_mixin import ChecklistMixin\nfrom .citation_mixin import CitationMixin\nfrom .license_mixin import LicenseMixin\nfrom .registry_mixin import RegistryMixin\nfrom .repository_mixin import RepositoryMixin\n\n\n__all__ = [\n \"RepositoryMixin\",\n \"LicenseMixin\",\n \"RegistryMixin\",\n \"... | false |
7,420 | 297a17ca5aaafb368a1e4cba35e387c67e9f793f | """
Created on Fri Aug 4 19:19:31 2017
@author: aw1042
"""
import requests
import threading
import sys
import re
import xml.etree.ElementTree as ET
import smtplib
from credentials import *
argsObj = {}
for arg1, arg2 in zip(sys.argv[:-1], sys.argv[1:]):
if arg1[0] == '-':
argsObj[arg1] = arg2
posts = ... | [
"\"\"\"\nCreated on Fri Aug 4 19:19:31 2017\n\n@author: aw1042\n\"\"\"\nimport requests\nimport threading\nimport sys\nimport re\nimport xml.etree.ElementTree as ET\nimport smtplib\nfrom credentials import *\n\n\n\nargsObj = {}\nfor arg1, arg2 in zip(sys.argv[:-1], sys.argv[1:]):\n if arg1[0] == '-':\n a... | true |
7,421 | 4af53bf9cbe136dec7dcc609e28cdd013911c385 | # Copyright (c) 2008 Johns Hopkins University.
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose, without fee, and without written
# agreement is hereby granted, provided that the above copyright
# notice, the (updated) modification history ... | [
"# Copyright (c) 2008 Johns Hopkins University.\n# All rights reserved.\n#\n# Permission to use, copy, modify, and distribute this software and its\n# documentation for any purpose, without fee, and without written\n# agreement is hereby granted, provided that the above copyright\n# notice, the (updated) modificati... | true |
7,422 | 76d2c3f74e8fae160396b4015ccec478dba97b87 | # -*- coding: utf-8 -*-
"""
Created on Tue Mai 15 11:34:22 2018
@author: Diogo Leite
"""
from SQL_obj_new.Dataset_config_dataset_new_sql import _DS_config_DS_SQL
class Dataset_conf_ds(object):
"""
This class treat the datasets configuration connection tables object has it exists in DATASET_CONF_DS table data... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue Mai 15 11:34:22 2018\n\n@author: Diogo Leite\n\"\"\"\n\nfrom SQL_obj_new.Dataset_config_dataset_new_sql import _DS_config_DS_SQL\n\nclass Dataset_conf_ds(object):\n \"\"\"\n This class treat the datasets configuration connection tables object has it exists in D... | false |
7,423 | 7a0e7ede263727ef303ba23dff1949c3a7031360 | #!/usr/bin/python
import argparse
import os
import pipes
import sys
import rospy
import std_msgs.msg
import actionlib
import time
import datetime
from geometry_msgs.msg import Pose, Point, Quaternion
from actionlib import *
from location_provider.srv import GetLocationList
from std_srvs.srv import Trigger
try:
i... | [
"#!/usr/bin/python\nimport argparse\nimport os\nimport pipes\nimport sys\n\nimport rospy\nimport std_msgs.msg\nimport actionlib\nimport time\n\nimport datetime\nfrom geometry_msgs.msg import Pose, Point, Quaternion\nfrom actionlib import *\nfrom location_provider.srv import GetLocationList\nfrom std_srvs.srv import... | true |
7,424 | c7d51f6448400af5630bdc0c29493320af88288e | import pytesseract
from PIL import Image
import tensorflow as tf
from keras.models import load_model
from tensorflow import Graph
import os
import json
import cv2
import numpy as np
global class_graph
def classify(img, c_model):
#global class_graph
""" classifies images in a given folder using the 'model... | [
"import pytesseract\nfrom PIL import Image\nimport tensorflow as tf\n\nfrom keras.models import load_model\nfrom tensorflow import Graph\n\nimport os\nimport json\nimport cv2\nimport numpy as np\n\nglobal class_graph\n\n\n\n\ndef classify(img, c_model):\n #global class_graph\n \"\"\" classifies images in a gi... | false |
7,425 | 310e6e693cdce6ff71d06eac86214a21bef236d4 | """Produce a multi-panel figure of each output lead time in a forecast
"""
import matplotlib.pyplot as plt
import iris.plot as iplt
from irise import convert
from irise.plot.util import add_map
from myscripts import plotdir
from myscripts.models.um import case_studies
columns = 3
def main(forecast, name, levels, *a... | [
"\"\"\"Produce a multi-panel figure of each output lead time in a forecast\n\"\"\"\n\nimport matplotlib.pyplot as plt\nimport iris.plot as iplt\nfrom irise import convert\nfrom irise.plot.util import add_map\nfrom myscripts import plotdir\nfrom myscripts.models.um import case_studies\n\ncolumns = 3\n\n\ndef main(fo... | false |
7,426 | 50be2cbdaec6ed76e5d9367c6a83222f9153db82 | '''
Please Note:
Note: It is intended for some problems to be ambiguous. You should gather all requirements up front before implementing one.
Please think of all the corner cases and clarifications yourself.
Validate if a given string is numeric.
Examples:
1."0" => true
2." 0.1 " => true
3."abc" => false
4."1 a" =>... | [
"'''\nPlease Note:\nNote: It is intended for some problems to be ambiguous. You should gather all requirements up front before implementing one.\n\nPlease think of all the corner cases and clarifications yourself.\n\nValidate if a given string is numeric.\n\nExamples:\n\n1.\"0\" => true\n2.\" 0.1 \" => true\n3.\"ab... | false |
7,427 | 7b6e73744d711188ab1a622c309b8ee55f3eb471 | # Python : Correct way to strip <p> and </p> from string?
s = s.replace('<p>', '').replace('</p>', '')
| [
"# Python : Correct way to strip <p> and </p> from string?\ns = s.replace('<p>', '').replace('</p>', '')\n",
"s = s.replace('<p>', '').replace('</p>', '')\n",
"<assignment token>\n"
] | false |
7,428 | eec2b818ea9d50161bad60e8bf83dcb7ce9bf9fa | from plone import api
from plone.app.robotframework.testing import AUTOLOGIN_LIBRARY_FIXTURE
from plone.app.testing import applyProfile
from plone.app.testing import FunctionalTesting
from plone.app.testing import IntegrationTesting
from plone.app.testing import PLONE_FIXTURE
from plone.app.testing import PloneSandboxL... | [
"from plone import api\nfrom plone.app.robotframework.testing import AUTOLOGIN_LIBRARY_FIXTURE\nfrom plone.app.testing import applyProfile\nfrom plone.app.testing import FunctionalTesting\nfrom plone.app.testing import IntegrationTesting\nfrom plone.app.testing import PLONE_FIXTURE\nfrom plone.app.testing import Pl... | false |
7,429 | 90b9dcd2dfc28446d1979d58ed49a12a85ce5b98 | # Generated by Django 3.1.7 on 2021-03-24 14:51
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Products_Table',
fields=[
('product_id', mo... | [
"# Generated by Django 3.1.7 on 2021-03-24 14:51\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='Products_Table',\n fields=[\n ... | false |
7,430 | 71662ff8c68559bf08e1da7f1a1504bfe842c950 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-08-04 13:16
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0007_alter_validators_add_error_... | [
"# -*- coding: utf-8 -*-\n# Generated by Django 1.9.6 on 2016-08-04 13:16\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 initial = True\n\n dependencies = [\n ('auth', '0007_alter_val... | false |
7,431 | acf3d188bd6c99774ddf538dcc83f99ad56c7057 | from mpi4py import MPI
from random import random
comm = MPI.COMM_WORLD
mydata = comm.rank
data = comm.gather(mydata)
if comm.rank == 0:
print("Data = ", data)
| [
"from mpi4py import MPI\nfrom random import random\n\ncomm = MPI.COMM_WORLD\n\nmydata = comm.rank\n\ndata = comm.gather(mydata)\n\nif comm.rank == 0:\n print(\"Data = \", data)\n",
"from mpi4py import MPI\nfrom random import random\ncomm = MPI.COMM_WORLD\nmydata = comm.rank\ndata = comm.gather(mydata)\nif comm... | false |
7,432 | 2019a2a5588e57164ff4226ef3bcbbc506f2b315 | """
==============================
Visualize Cylinder with Wrench
==============================
We apply a constant body-fixed wrench to a cylinder and integrate
acceleration to twist and exponential coordinates of transformation
to finally compute the new pose of the cylinder.
"""
import numpy as np
from pytransform... | [
"\"\"\"\n==============================\nVisualize Cylinder with Wrench\n==============================\n\nWe apply a constant body-fixed wrench to a cylinder and integrate\nacceleration to twist and exponential coordinates of transformation\nto finally compute the new pose of the cylinder.\n\"\"\"\nimport numpy as... | false |
7,433 | 9a982e0ab7fff882767a98ed01f5ed68bd710888 | import turtle
def draw_square():
conrad = turtle.Turtle()
conrad.shape("turtle")
conrad.color("red")
conrad.speed(3)
i = 0
while(i < 4):
conrad.forward(200)
conrad.right(90)
i += 1
def draw_circle():
niki = turtle.Turtle()
niki.circle(50)
def draw_triangle():
tri = turtle.Turtle()
tri.shape("t... | [
"import turtle\n\ndef draw_square():\n\t\n\tconrad = turtle.Turtle()\n\tconrad.shape(\"turtle\")\n\tconrad.color(\"red\")\n\tconrad.speed(3)\n\n\ti = 0\n\twhile(i < 4):\n\t\tconrad.forward(200)\n\t\tconrad.right(90)\n\t\ti += 1\n\ndef draw_circle():\n\t\n\tniki = turtle.Turtle()\n\tniki.circle(50)\n\ndef draw_trian... | false |
7,434 | 7c06bd52c924d3e401f50625109c5b8b489df157 | def tort(n, a, b):
return min(n*a, b)
def main():
n, a, b = map(int, input().split())
print(tort(n, a, b))
if __name__ == '__main__':
main()
| [
"def tort(n, a, b):\n\n return min(n*a, b)\ndef main():\n n, a, b = map(int, input().split())\n print(tort(n, a, b))\n\nif __name__ == '__main__':\n main()\n",
"def tort(n, a, b):\n return min(n * a, b)\n\n\ndef main():\n n, a, b = map(int, input().split())\n print(tort(n, a, b))\n\n\nif __na... | false |
7,435 | 0f3ecd0a7189f57fdbda2360f6e39bd6101e2fdb | from LinkedList import LinkedList
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def addTwoNumbers(self, l1, l2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: ListNode
"""
h1 = l1
... | [
"from LinkedList import LinkedList\n\nclass ListNode(object):\n def __init__(self, x):\n self.val = x\n self.next = None\n\nclass Solution(object):\n def addTwoNumbers(self, l1, l2):\n \"\"\"\n :type l1: ListNode\n :type l2: ListNode\n :rtype: ListNode\n \"\"\"... | false |
7,436 | 2b579c3def4c2d02d365f019518e8e0b25664460 | import pandas as pd
import matplotlib.pyplot as plt
from netCDF4 import Dataset
from cftime import num2date
import os
import numpy as np
from datetime import datetime, timedelta, date
def plot_temperatures_by_country(values, country, start, end):
"""
Returns a plot for temperature values for a coun... | [
"import pandas as pd\r\nimport matplotlib.pyplot as plt\r\nfrom netCDF4 import Dataset\r\nfrom cftime import num2date\r\nimport os\r\nimport numpy as np\r\nfrom datetime import datetime, timedelta, date\r\n\r\n\r\ndef plot_temperatures_by_country(values, country, start, end):\r\n \"\"\"\r\n Returns a plot for... | false |
7,437 | ee0ed255b6851696dc57c01100cd67f5f959cf01 | from typing import List
import pandas as pd
import numpy as np
import pickle
from catboost import CatBoostRegressor
from sklearn.preprocessing import MinMaxScaler
def calculate_probable_age(usersEducationFeatures):
prob_age = {}
grads_count = {}
age_diff1 = 17 # age difference for school
... | [
"from typing import List\r\n\r\nimport pandas as pd\r\nimport numpy as np\r\nimport pickle\r\nfrom catboost import CatBoostRegressor\r\nfrom sklearn.preprocessing import MinMaxScaler\r\n\r\n\r\ndef calculate_probable_age(usersEducationFeatures):\r\n prob_age = {}\r\n grads_count = {}\r\n age_diff1 = 17 # ... | false |
7,438 | ee49ce63951721458cb98b370285d04231bb2c20 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import numpy.random as nr
import math
import os
from datetime import datetime
from sklearn.linear_model import LinearRegression, SGDRegressor
import sys
import time
import imp
from sklearn.ensemble import ExtraTreesRegressor
fr... | [
"import pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport numpy as np\nimport numpy.random as nr\nimport math\nimport os\nfrom datetime import datetime\nfrom sklearn.linear_model import LinearRegression, SGDRegressor\nimport sys\nimport time\nimport imp\nfrom sklearn.ensemble import Extra... | false |
7,439 | adff75857a1de24267e771c599e4d89486a6ad32 | # Generated by Django 2.0.5 on 2018-07-12 11:08
import assessment.models
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('assessment', '0006_auto_20180712_1428'),
]
operations = [
migrations.AlterModelManagers(
name='season',... | [
"# Generated by Django 2.0.5 on 2018-07-12 11:08\n\nimport assessment.models\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('assessment', '0006_auto_20180712_1428'),\n ]\n\n operations = [\n migrations.AlterModelManagers(\n ... | false |
7,440 | 8e34b5e15c5b6107d6841e7b567abf967c631f1b | # coding=utf-8
from __future__ import print_function
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
basedir = os.getcwd()
os.chdir(os.path.dirname(os.path.abspath(__file__)))
sys.path.append('trainer')
sys.path.append('downloader')
from gen.gen_captcha import gen_dataset, load_templates, candidates
fr... | [
"# coding=utf-8\nfrom __future__ import print_function\n\nimport os\nimport sys\n\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\nbasedir = os.getcwd()\nos.chdir(os.path.dirname(os.path.abspath(__file__)))\nsys.path.append('trainer')\nsys.path.append('downloader')\n\nfrom gen.gen_captcha import gen_dataset, load_templat... | false |
7,441 | 4d2cb3e0bdd331a1de7f07eb0109f02c9cf832a8 | import logging
import os
import time
import urllib
from collections import namedtuple
from statistics import mean
from urllib.request import urlopen
import bs4
import regex as re
from tika import parser
from scipy.stats import ks_2samp
import config
from TFU.trueformathtml import TrueFormatUpmarkerHTML
from TFU.truefo... | [
"import logging\nimport os\nimport time\nimport urllib\nfrom collections import namedtuple\nfrom statistics import mean\nfrom urllib.request import urlopen\nimport bs4\nimport regex as re\nfrom tika import parser\nfrom scipy.stats import ks_2samp\n\nimport config\nfrom TFU.trueformathtml import TrueFormatUpmarkerHT... | false |
7,442 | a5b7f565a1797e5f326bcf26ff7c8ad2469dca70 | #!/usr/bin/env python
import argparse
import pymssql
import json
#get the lcmMediaId from DB.
def getMediaId(contentProviderMediaName):
#test db
conn = pymssql.connect(host='CHELLSSSQL23.karmalab.net', user='TravCatalog', password='travel', database='LodgingCatalogMaster_Phoenix')
#prod db
#conn = pyms... | [
"#!/usr/bin/env python\nimport argparse\nimport pymssql\nimport json\n\n#get the lcmMediaId from DB.\ndef getMediaId(contentProviderMediaName):\n #test db\n conn = pymssql.connect(host='CHELLSSSQL23.karmalab.net', user='TravCatalog', password='travel', database='LodgingCatalogMaster_Phoenix')\n #prod db\n ... | false |
7,443 | d517c1e2eb4d37a2584f1603c704efce6834df92 | # Author: Charse
# py 列表的使用
import copy
name = ["111", "222", "333", "444", "555"]
# 从列表中取得元素
print(name[0], name[2]) # 111 333
print(name[1:3]) # 切片 ['222', '333']
print(name[:3]) # ['111', '222', '333'] 与下标从0开始是一样的
print(name[0:3]) # ['111', '222', '333']
print(name[-2:]) # ['444', '555'] 与name
# 往列表中添加... | [
"# Author: Charse\n# py 列表的使用\n\nimport copy\n\n\nname = [\"111\", \"222\", \"333\", \"444\", \"555\"]\n\n# 从列表中取得元素\nprint(name[0], name[2]) # 111 333\nprint(name[1:3]) # 切片 ['222', '333']\nprint(name[:3]) # ['111', '222', '333'] 与下标从0开始是一样的\nprint(name[0:3]) # ['111', '222', '333']\nprint(name[-2:]) # ['444... | false |
7,444 | 88e1eb4cbfe346c663cca23836c23346e18a8488 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from twython import Twython
import random
tweetStr = "None"
#twitter consumer and access information goes here
api = Twython(apiKey,apiSecret,accessToken,accessTokenSecret)
timeline = api.get_user_timeline()
lastEntry = timeline[0]
sid = str(lastEntry['id']... | [
"\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nimport sys\nfrom twython import Twython\nimport random\n\ntweetStr = \"None\"\n\n#twitter consumer and access information goes here\n\n\napi = Twython(apiKey,apiSecret,accessToken,accessTokenSecret)\n\ntimeline = api.get_user_timeline()\nlastEntry = timeline[0]\nsi... | true |
7,445 | dd936839d71b97b3a21115498092d8984de0e3f1 | questions = ('Какой язык мы учим?', 'Какой тип данных имеет целая переменная?', 'Какой тип данных имеет вещественная переменная?', 'Какой тип данных имеет логическая переменная?', 'Какой тип данных имеет символьная переменная?')
answers = ('Python', 'Integer', 'Float', 'Bool', 'String')
i = 0
count_answers = 0
while i ... | [
"questions = ('Какой язык мы учим?', 'Какой тип данных имеет целая переменная?', 'Какой тип данных имеет вещественная переменная?', 'Какой тип данных имеет логическая переменная?', 'Какой тип данных имеет символьная переменная?')\nanswers = ('Python', 'Integer', 'Float', 'Bool', 'String')\ni = 0\ncount_answers = 0\... | false |
7,446 | 7b459cf321f351e1485a9aef0ca23067f411e430 | """Wrapper over the command line migrate tool to better work with
config files."""
import subprocess
import sys
from alembic.migration import MigrationContext
from ..lib.alembic import bootstrap_db
from ..lib.sqla import create_engine
from ..models import DBSession as db
def main():
if len(sys.argv) < 3:
... | [
"\"\"\"Wrapper over the command line migrate tool to better work with\nconfig files.\"\"\"\n\nimport subprocess\nimport sys\n\nfrom alembic.migration import MigrationContext\n\nfrom ..lib.alembic import bootstrap_db\nfrom ..lib.sqla import create_engine\nfrom ..models import DBSession as db\n\n\ndef main():\n if... | false |
7,447 | 56b4262e88793be366d8ffe0fe4427fdb2a99bd7 | from app import create_app, db
import unittest
import json
class Test(unittest.TestCase):
def setUp(self):
"""Before each test, set up a blank database"""
self.app = create_app("configmodule.TestingConfig")
self.app.testing = True
self.client = self.app.test_client()
with... | [
"from app import create_app, db\nimport unittest\nimport json\n\n\nclass Test(unittest.TestCase):\n def setUp(self):\n \"\"\"Before each test, set up a blank database\"\"\"\n self.app = create_app(\"configmodule.TestingConfig\")\n self.app.testing = True\n\n self.client = self.app.tes... | false |
7,448 | ae5ec7919b9de4fbf578547c31837add32826f60 |
class Graph:
def __init__(self, num_vertices):
self.adj_list = {}
for i in range(num_vertices):
self.adj_list[i] = []
def add_vertice(self, source):
self.adj_list[source] = []
def add_edge(self, source, dest):
self.adj_list[source].append(dest)
def print_... | [
"\nclass Graph:\n\n def __init__(self, num_vertices):\n self.adj_list = {}\n for i in range(num_vertices):\n self.adj_list[i] = []\n\n def add_vertice(self, source):\n self.adj_list[source] = []\n\n def add_edge(self, source, dest):\n self.adj_list[source].append(dest... | false |
7,449 | 885fd32c9520dfdc2becd6b1a3d0c0f5f5397112 | from setuptools import setup, find_packages
setup(
name="champ",
version="0.0.1",
description='Channel modeling in Python',
url='https://github.com/sgherbst/champ',
author='Steven Herbst',
author_email='sherbst@stanford.edu',
packages=['champ'],
include_package_data=True,
zip_safe=F... | [
"from setuptools import setup, find_packages\n\nsetup(\n name=\"champ\",\n version=\"0.0.1\",\n description='Channel modeling in Python',\n url='https://github.com/sgherbst/champ',\n author='Steven Herbst',\n author_email='sherbst@stanford.edu',\n packages=['champ'],\n include_package_data=T... | false |
7,450 | 7c4709eaa5123b44e6355c6a60932f286e3b1cf5 | #!/usr/bin/env python
#-*- coding:utf8 -*-
# Power by null 2018-09-19 18:41:17
from codebase.mod.mod_test import test_f
| [
"#!/usr/bin/env python\n#-*- coding:utf8 -*-\n# Power by null 2018-09-19 18:41:17\n\nfrom codebase.mod.mod_test import test_f\n",
"from codebase.mod.mod_test import test_f\n",
"<import token>\n"
] | false |
7,451 | e38149f0d421a43f6aa34a977eee89fe29021b85 | #!/usr/bin/python
# This IDAPython code can be used to de-obfuscate strings generated by
# CryptoWall version 3, as well as any other malware samples that make use of
# this technique.
'''
Example disassembly:
.text:00403EC8 mov ecx, 'V'
.text:00403ECD mov [ebp+var_1C], cx
... | [
"#!/usr/bin/python\n# This IDAPython code can be used to de-obfuscate strings generated by\n# CryptoWall version 3, as well as any other malware samples that make use of\n# this technique. \n\n'''\nExample disassembly:\n\n\t.text:00403EC8 mov ecx, 'V'\n\t.text:00403ECD mov [e... | true |
7,452 | 1c1cd0eeea4dbf446aa4582f42ef1f3b5a4e8875 | # Generated by Django 3.2.2 on 2021-05-11 09:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('meeting', '0004_auto_20210511_0947'),
]
operations = [
migrations.AlterField(
model_name='event',
name='end',
... | [
"# Generated by Django 3.2.2 on 2021-05-11 09:49\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('meeting', '0004_auto_20210511_0947'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='event',\n ... | false |
7,453 | 862c5794a4da794678de419f053ae15b11bca6e7 | class GameOfLife:
@staticmethod
def simulate(board):
for row in range(len(board)):
for col in range(len(board[0])):
ones = GameOfLife.countOnes(board, row, col)
if board[row][col] and (ones == 2 or ones == 3):
board[row][col] |= 2
... | [
"class GameOfLife:\n @staticmethod\n def simulate(board):\n for row in range(len(board)):\n for col in range(len(board[0])):\n ones = GameOfLife.countOnes(board, row, col)\n if board[row][col] and (ones == 2 or ones == 3):\n board[row][col] |=... | false |
7,454 | 445ae195edfe9fe9ee58c6c5a14ec787719d698c |
def get_ecgs_by_query(json_data, query):
ecgs_ids = []
for case_id in json_data.keys():
print(case_id)
if query.is_query_ok(json_data[case_id]):
ecgs_ids.append(case_id)
return ecgs_ids
def save_new_dataset_by_ids(old_json, ecg_ids_to_save, name_new_dataset):
"""
Saves... | [
"\n\ndef get_ecgs_by_query(json_data, query):\n ecgs_ids = []\n for case_id in json_data.keys():\n print(case_id)\n if query.is_query_ok(json_data[case_id]):\n ecgs_ids.append(case_id)\n return ecgs_ids\n\ndef save_new_dataset_by_ids(old_json, ecg_ids_to_save, name_new_dataset):\n ... | false |
7,455 | 9540319cf192add1fb24375a35d70ea8e3031a72 | __author__ = 'aniket'
import freenect
import cv2
import numpy as np
kernel = nfrp.ones((5,5),np.uint8)
freenect.C
def grayscale():
maske = np.zeros((480,640,3))
a = freenect.sync_get_depth(format=freenect.DEPTH_MM)[0]
mask = a == 0
a[mask] = 8000
mask1 = a > 1000
b = freenect.sync_get_video()... | [
"__author__ = 'aniket'\n\nimport freenect\nimport cv2\nimport numpy as np\n\nkernel = nfrp.ones((5,5),np.uint8)\nfreenect.C\ndef grayscale():\n maske = np.zeros((480,640,3))\n a = freenect.sync_get_depth(format=freenect.DEPTH_MM)[0]\n mask = a == 0\n a[mask] = 8000\n\n mask1 = a > 1000\n b = freen... | false |
7,456 | afd184962e8e69843ca518e140d5fdde3d7c9ed2 | from django.views.generic import TemplateView, FormView, CreateView, ListView
from .models import Order
from .form import OrderForm
class OrdersListView(ListView):
template_name = 'orders/index.html'
queryset = Order.objects.all()
context_object_name = 'order_list'
class OrderCreateView(CreateView):
... | [
"from django.views.generic import TemplateView, FormView, CreateView, ListView\nfrom .models import Order\n\nfrom .form import OrderForm\n\n\nclass OrdersListView(ListView):\n template_name = 'orders/index.html'\n queryset = Order.objects.all()\n context_object_name = 'order_list'\n\n\nclass OrderCreateVie... | false |
7,457 | 605d8144d18207314981872ec57cec6cb2510601 | # def qs(li):
# n = len(li)
# if n <= 1:
# return li
# pivot = li[n - 1]
# left = []
# right = []
# for i in li[:n - 1]:
# if i <= pivot:
# left.append(i)
# else:
# right.append(i)
# left = qs(left)
# right = qs(right)
# return left + [... | [
"# def qs(li):\n# n = len(li)\n# if n <= 1:\n# return li\n# pivot = li[n - 1]\n# left = []\n# right = []\n# for i in li[:n - 1]:\n# if i <= pivot:\n# left.append(i)\n# else:\n# right.append(i)\n# left = qs(left)\n# right = qs(right)\n# ... | false |
7,458 | 3222dd7c2d19d86f2e085cb489ab4a48307ba132 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'test1.ui'
#
# Created by: PyQt5 UI code generator 5.7
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName(... | [
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'test1.ui'\n#\n# Created by: PyQt5 UI code generator 5.7\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt5 import QtCore, QtGui, QtWidgets\n\nclass Ui_Dialog(object):\n def setupUi(self, Dialog):\n Dial... | false |
7,459 | 45b46a08d8b304ac12baf34e0916b249b560418f | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from flask import Flask, request, jsonify
from app import Node
from dbm2 import filemanager
fm = filemanager()
node = Node(fm)
app = Flask(__name__)
@app.route("/transactions/isfull",methods=['GET'])
def isFull():
return jsonify(node.isFull()), 200
@app.route("/tra... | [
"#!/usr/bin/env python3\n\n# -*- coding: utf-8 -*-\n\n\nfrom flask import Flask, request, jsonify\nfrom app import Node\nfrom dbm2 import filemanager\n\nfm = filemanager()\nnode = Node(fm)\n\napp = Flask(__name__)\n\n@app.route(\"/transactions/isfull\",methods=['GET'])\ndef isFull():\n return jsonify(node.isFull()... | false |
7,460 | 2e9d71b8055e1bab107cedae69ca3bc4219e7d38 | import joblib
import os
import shutil
import re
from scipy import stats
from functools import partial
import pandas as pd
from multiprocessing import Process, Pool
from nilearn import masking, image
import nibabel as nib
import numpy as np
from tqdm import tqdm
import matplotlib
matplotlib.use('Agg')
import matplotlib... | [
"import joblib\nimport os\nimport shutil\nimport re\nfrom scipy import stats\nfrom functools import partial\n\nimport pandas as pd\nfrom multiprocessing import Process, Pool\nfrom nilearn import masking, image\nimport nibabel as nib\nimport numpy as np\nfrom tqdm import tqdm\nimport matplotlib\nmatplotlib.use('Agg'... | false |
7,461 | de7515cb71c8e30018b14baf8846648d0c76a592 | #!/usr/bin/env python
# Sanjaya Gajurel, Computational Scientist, Case Western Reserve University, April 2015
import vtk
# ------------------------------------------------------------------------------
# Script Entry Point
# ------------------------------------------------------------------------------
if __name__ ==... | [
"#!/usr/bin/env python\n# Sanjaya Gajurel, Computational Scientist, Case Western Reserve University, April 2015\n\nimport vtk\n\n# ------------------------------------------------------------------------------\n# Script Entry Point\n# ------------------------------------------------------------------------------\ni... | false |
7,462 | cab45a823e319bd504b3db68cf70bff315f44fc6 | import random
import numpy as np
class Board:
def __init__(self, nrows, ncols, random_seed=42):
self.nrows = nrows
self.ncols = ncols
self.random = random.Random()
self.random.seed(random_seed)
self.board = np.zeros((nrows, ncols))
self.score = 0
self.__add_new_numbers()
# Initialize with 1/8 of the ... | [
"import random\nimport numpy as np\n\nclass Board:\n\tdef __init__(self, nrows, ncols, random_seed=42):\n\t\tself.nrows = nrows\n\t\tself.ncols = ncols\n\t\tself.random = random.Random()\n\t\tself.random.seed(random_seed)\n\t\tself.board = np.zeros((nrows, ncols))\n\t\tself.score = 0\n\n\t\tself.__add_new_numbers()... | false |
7,463 | b38c9357030b2eac8298743cfb4d6c4d58c99ed4 | import redis
r = redis.StrictRedis()
r.set("counter", 40)
print(r.get("counter"))
print(r.incr("counter"))
print(r.incr("counter"))
print(r.get("counter"))
| [
"import redis\nr = redis.StrictRedis()\n\nr.set(\"counter\", 40) \nprint(r.get(\"counter\"))\nprint(r.incr(\"counter\"))\nprint(r.incr(\"counter\"))\nprint(r.get(\"counter\"))\n\n\n",
"import redis\nr = redis.StrictRedis()\nr.set('counter', 40)\nprint(r.get('counter'))\nprint(r.incr('counter'))\nprint(r.incr('cou... | false |
7,464 | abe53120a485f608431142c6b9452666fcd72dbf | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 5 17:05:12 2018
@author: Shane
"""
import math
import scipy.integrate as integrate
import random
import numpy as np
import sympy as sym
'''
Question 1
plug and play into formula for VC generalization
'''
print('Question 1')
error = 0.05
for N in [400000,420000,4400... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Oct 5 17:05:12 2018\n\n@author: Shane\n\"\"\"\n\nimport math\nimport scipy.integrate as integrate\nimport random\nimport numpy as np\nimport sympy as sym\n\n'''\nQuestion 1\n\nplug and play into formula for VC generalization\n'''\n\n\nprint('Question 1')\nerror = 0.... | false |
7,465 | 8f9d823785d42d02a0a3d901d66b46a5cd59cdd7 | import json
import glob
import sys
searchAreaName = sys.argv[1]
# searchAreaName = "slovenia_177sqkm_shards/20161220-162010-c9e0/slovenia_177sqkm_predicted/predict_slovenia_177sqkm_shard"
print('./{0}_??.txt'.format(searchAreaName))
all_predicts = glob.glob('./{0}_??.txt'.format(searchAreaName))
def getBboxes(bboxes):... | [
"import json\nimport glob\nimport sys\nsearchAreaName = sys.argv[1]\n# searchAreaName = \"slovenia_177sqkm_shards/20161220-162010-c9e0/slovenia_177sqkm_predicted/predict_slovenia_177sqkm_shard\"\nprint('./{0}_??.txt'.format(searchAreaName))\nall_predicts = glob.glob('./{0}_??.txt'.format(searchAreaName))\n\ndef get... | false |
7,466 | e899b093152ee0923f1e5ad3b5719bbf9eb4339c | from .login import LoginTask
from .tag_search import TagSearchTask
from .timeline import TimelineTask
from .get_follower import GetFollowerTask
from .followback import FollowBackTask
from .unfollow import UnFollowTask
| [
"from .login import LoginTask\nfrom .tag_search import TagSearchTask\nfrom .timeline import TimelineTask\nfrom .get_follower import GetFollowerTask\nfrom .followback import FollowBackTask\nfrom .unfollow import UnFollowTask\n",
"<import token>\n"
] | false |
7,467 | 64d955d568a6bfec50aad36c9c4f1e36998e4d74 | import csv
import boto3
import pytz
import time
from datetime import datetime, timedelta
# current_time = int(datetime.now())
from boto3.dynamodb.conditions import Key, Attr
def lambda_handler(event, context):
current_date = datetime.now(pytz.timezone('US/Central'))
yesterday_date = current_date - timedleta(... | [
"import csv\nimport boto3 \nimport pytz\nimport time\nfrom datetime import datetime, timedelta\n# current_time = int(datetime.now())\nfrom boto3.dynamodb.conditions import Key, Attr\n\n\ndef lambda_handler(event, context):\n current_date = datetime.now(pytz.timezone('US/Central'))\n yesterday_date = current_d... | false |
7,468 | 18eed41cbc419ecbb215f77235be99f15f86ea9a | '''
Author: Allen Chen
This is an example of entry point to CORE. Pay close attention to the import syntax - they're relative to this repo.
Don't try to run this by doing 'python3 main.py' under this directory. Try to add your Target in Makefile under the root dir,
and call './run YOUR_TARGET_NAME' from root.
'''
fr... | [
"'''\nAuthor: Allen Chen\n\nThis is an example of entry point to CORE. Pay close attention to the import syntax - they're relative to this repo.\nDon't try to run this by doing 'python3 main.py' under this directory. Try to add your Target in Makefile under the root dir,\nand call './run YOUR_TARGET_NAME' from root... | false |
7,469 | 109ca06685eece74034f77a98b1d7172a17aca21 | import random
import re
from datetime import datetime, timedelta
from threading import Lock
from telegram.ext import run_async
from src.models.user import UserDB
from src.models.user_stat import UserStat
from src.utils.cache import cache, USER_CACHE_EXPIRE
from src.utils.logger_helpers import get_logger
logger = get... | [
"import random\nimport re\nfrom datetime import datetime, timedelta\nfrom threading import Lock\n\nfrom telegram.ext import run_async\n\nfrom src.models.user import UserDB\nfrom src.models.user_stat import UserStat\nfrom src.utils.cache import cache, USER_CACHE_EXPIRE\nfrom src.utils.logger_helpers import get_logge... | false |
7,470 | b74c759b51fb6591477757e2ff54b545f225991c | import json
from examtool.api.database import get_exam, get_roster
from examtool.api.extract_questions import extract_questions
from examtool.api.scramble import scramble
from google.cloud import firestore
import warnings
warnings.filterwarnings("ignore", "Your application has authenticated using end user credentials"... | [
"import json\n\nfrom examtool.api.database import get_exam, get_roster\nfrom examtool.api.extract_questions import extract_questions\nfrom examtool.api.scramble import scramble\nfrom google.cloud import firestore\nimport warnings\nwarnings.filterwarnings(\"ignore\", \"Your application has authenticated using end us... | false |
7,471 | a12f9435eb4b090bc73be14ad64fdf43c5caa4d2 | from netsec_2017.Lab_3.packets import RequestItem, RequestMoney, RequestToBuy, FinishTransaction, SendItem, SendMoney
from netsec_2017.Lab_3.PLS.client import PLSClient, PLSStackingTransport
from netsec_2017.Lab_3.peepTCP import PeepClientTransport, PEEPClient
import asyncio
import playground
import random, logging
fro... | [
"from netsec_2017.Lab_3.packets import RequestItem, RequestMoney, RequestToBuy, FinishTransaction, SendItem, SendMoney\nfrom netsec_2017.Lab_3.PLS.client import PLSClient, PLSStackingTransport\nfrom netsec_2017.Lab_3.peepTCP import PeepClientTransport, PEEPClient\nimport asyncio\nimport playground\nimport random, l... | false |
7,472 | e59bd92a94399d4a81687fc5e52e9ae04b9de768 | from django.db import models
from colorfield.fields import ColorField
from api import settings
from os.path import splitext
from datetime import datetime, timedelta
from PIL import Image
def saveTaskPhoto(instance,filename):
taskId = instance.id
name,ext = splitext(filename)
return f'tasks/task_{taskId}{e... | [
"from django.db import models\nfrom colorfield.fields import ColorField\nfrom api import settings\nfrom os.path import splitext\nfrom datetime import datetime, timedelta\nfrom PIL import Image\n\n\ndef saveTaskPhoto(instance,filename):\n taskId = instance.id\n name,ext = splitext(filename)\n return f'tasks... | false |
7,473 | 24b6d33849f034b9f61ffd4aaff90a0f428085fe | from pybot import usb4butia
u4b = usb4butia.USB4Butia()
while True:
bot = u4b.getButton(6)
print bot
| [
"from pybot import usb4butia\n\nu4b = usb4butia.USB4Butia()\n\nwhile True:\n bot = u4b.getButton(6)\n print bot\n\n\n"
] | true |
7,474 | 2d0d73c0ea20d6736c10d5201abcfa9d561ef216 | import random
import matplotlib.pyplot as plt
import numpy as np
def dado(n):
i = 1
dos =0
tres =0
cuatro =0
cinco=0
seis =0
siete=0
ocho=0
nueve=0
diez=0
once=0
doce=0
cont = [0,0,0,0,0,0,0,0,0,0,0]
while i <= n:
r1 = random.randint(1,6)... | [
"import random\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\ndef dado(n):\r\n i = 1\r\n dos =0\r\n tres =0\r\n cuatro =0\r\n cinco=0\r\n seis =0\r\n siete=0\r\n ocho=0\r\n nueve=0\r\n diez=0\r\n once=0\r\n doce=0\r\n cont = [0,0,0,0,0,0,0,0,0,0,0]\r\n while i ... | false |
7,475 | 7639b80c9e6e1b2e1e55a47a862c433b64168cf6 | # 代码3-14 pandas累积统计特征函数、移动窗口统计函数示例
import pandas as pd
D = pd.Series(range(0, 20)) # 构造Series，内容为0~19共20个整数
print(D.cumsum()) # 给出前n项和
print(D.rolling(2).sum()) # 依次对相邻两项求和
| [
"# 代码3-14 pandas累积统计特征函数、移动窗口统计函数示例\n\nimport pandas as pd\n\nD = pd.Series(range(0, 20)) # 构造Series，内容为0~19共20个整数\nprint(D.cumsum()) # 给出前n项和\nprint(D.rolling(2).sum()) # 依次对相邻两项求和\n",
"import pandas as pd\nD = pd.Series(range(0, 20))\nprint(D.cumsum())\nprint(D.rolling(2).sum())\n",
"<import token>\nD = pd... | false |
7,476 | a3239bbe4f85c9f0e1bc845245f024c3feb64923 | # Generated by Django 3.2.3 on 2021-06-01 07:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('info', '0002_auto_20210531_1958'),
]
operations = [
migrations.AddField(
model_name='well',
name='well_status',
... | [
"# Generated by Django 3.2.3 on 2021-06-01 07:26\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('info', '0002_auto_20210531_1958'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='well',\n name=... | false |
7,477 | 8ad47bf292e0046550cc0ef6f6bb75cf179ebd4b | def group(arr):
low, mid, high = 0, 0, len(arr)-1
while mid <= high:
print(arr)
if arr[mid] == 'R' :
arr[low], arr[mid] = arr[mid], arr[low]
low += 1
mid += 1
elif arr[mid] == 'G':
mid += 1
else:
arr[high], ar... | [
"def group(arr):\r\n low, mid, high = 0, 0, len(arr)-1\r\n while mid <= high:\r\n print(arr)\r\n if arr[mid] == 'R' :\r\n arr[low], arr[mid] = arr[mid], arr[low]\r\n low += 1\r\n mid += 1\r\n elif arr[mid] == 'G':\r\n mid += 1\r\n else:\r... | false |
7,478 | 82556291c456b9e43e4e589ea4a77d320430344b | data_dir = "../data"
output_dir = './'
valid_id = dict()
for category in ("beauty", "fashion", "mobile"):
with open("%s/%s_data_info_val_competition.csv" % (data_dir, category), "r") as infile:
next(infile)
for line in infile:
curr_id = line.strip().split(',')[0]
valid_id[cu... | [
"data_dir = \"../data\"\noutput_dir = './'\nvalid_id = dict()\n\nfor category in (\"beauty\", \"fashion\", \"mobile\"):\n with open(\"%s/%s_data_info_val_competition.csv\" % (data_dir, category), \"r\") as infile:\n next(infile)\n for line in infile:\n curr_id = line.strip().split(',')[0... | false |
7,479 | 96ea9b2b4d892ac88f7fac9594a6d2ad5d69a7c7 | # -*- coding: utf-8 -*-
import os
import logging
import subprocess
import json
import sys
ROOT_PATH = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(ROOT_PATH)
from src.datafactory.common import json_util
from src.datafactory.config import constant
class SegmentProcess... | [
"# -*- coding: utf-8 -*-\n\nimport os\nimport logging\nimport subprocess\nimport json\nimport sys\n\nROOT_PATH = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))\nsys.path.append(ROOT_PATH)\n\nfrom src.datafactory.common import json_util\nfrom src.datafactory.config import constant\n\n\n... | true |
7,480 | 8a9feae4ce209def2c98b7bed993f9b5c019a533 | from tkinter import *
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
import random
import numpy as np
import timeit
def main():
root = tk.Tk()
# root.geometry('800x500')
root.resizable(width=False, height=False)
root.title('Tugas Algoritma')
canva... | [
"from tkinter import *\r\nimport tkinter as tk\r\nfrom tkinter import ttk\r\nfrom tkinter import messagebox\r\n\r\nimport random\r\nimport numpy as np\r\n\r\nimport timeit\r\n\r\n\r\ndef main():\r\n\r\n root = tk.Tk()\r\n # root.geometry('800x500')\r\n root.resizable(width=False, height=False)\r\n root.... | false |
7,481 | 3031f695d57492cf3b29694fecd0a41c469a3e00 | botName = "firstBot"
username = "mrthemafia"
password = "oblivion"
client_id = "Y3LQwponbEp07w"
client_secret = "R4oyCEj6hSTJWHfWMwb-DGUOBm8"
| [
"botName = \"firstBot\"\nusername = \"mrthemafia\"\npassword = \"oblivion\"\nclient_id = \"Y3LQwponbEp07w\"\nclient_secret = \"R4oyCEj6hSTJWHfWMwb-DGUOBm8\"\n",
"botName = 'firstBot'\nusername = 'mrthemafia'\npassword = 'oblivion'\nclient_id = 'Y3LQwponbEp07w'\nclient_secret = 'R4oyCEj6hSTJWHfWMwb-DGUOBm8'\n",
... | false |
7,482 | abfff0901e5f825a473119c93f53cba206609428 | # -*- coding: utf-8 -*-
import io
import urllib.request
from pymarc import MARCReader
class Item:
"""
Represents an item from our
Library catalogue (https://www-lib.soton.ac.uk)
Usage:
#>>> import findbooks
#>>> item = findbooks.Item('12345678')
#>>> item.getMarcFields()
... | [
"# -*- coding: utf-8 -*-\nimport io\nimport urllib.request\nfrom pymarc import MARCReader\n\n\nclass Item:\n \"\"\"\n Represents an item from our\n Library catalogue (https://www-lib.soton.ac.uk)\n Usage:\n\n #>>> import findbooks\n #>>> item = findbooks.Item('12345678')\n #>>> item... | false |
7,483 | 5e2fcc6379a8ecee0378d26108e4deab9d17dba6 | # 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 required by applicable law or agreed to ... | [
"# All Rights Reserved.\n#\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# Unless required by applicable l... | false |
7,484 | b9fe758d5fe12b5a15097c0e5a33cb2d57edfdd2 | from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from .models import Group,SQLlist
from .forms import GroupForm
from .oraConnect import *
from .utils import IfNoneThenNull
########################### Группы ############################
def group_list(request):
grou... | [
"from django.shortcuts import render, get_object_or_404, redirect\nfrom django.utils import timezone\nfrom .models import Group,SQLlist\nfrom .forms import GroupForm\nfrom .oraConnect import *\nfrom .utils import IfNoneThenNull\n\n########################### Группы ############################\ndef group_list(reque... | false |
7,485 | 3eb40dfe68573b93c544a2279ac5c8728ae9601f | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from tests import unittest
from kepler.descriptors import *
class DescriptorsTestCase(unittest.TestCase):
def testEnumDefaultsToNoopMapper(self):
class Record(object):
cat = Enum(name='cat', enums=['Lucy Cat', 'Hot Pocket'])
... | [
"# -*- coding: utf-8 -*-\nfrom __future__ import absolute_import\nfrom tests import unittest\nfrom kepler.descriptors import *\n\nclass DescriptorsTestCase(unittest.TestCase):\n def testEnumDefaultsToNoopMapper(self):\n class Record(object):\n cat = Enum(name='cat', enums=['Lucy Cat', 'Hot Pock... | false |
7,486 | 1b43125c2ebffd0a268a4a0ffdbbf407de7b0374 | ''' Compress images '''
from PIL import Image
def resizeImage(image_file):
try:
# get the image's width and height in pixels
img = Image.open(image_file)
width, height = img.size
# get the largest dimension
max_dim = max(img.size)
if max_dim > 1000:
# resize the image using the largest side as dime... | [
"''' Compress images '''\n\nfrom PIL import Image\n\n\ndef resizeImage(image_file):\n\ttry:\n\t\t# get the image's width and height in pixels\n\t\timg = Image.open(image_file)\n\t\twidth, height = img.size\n\n\t\t# get the largest dimension\n\t\tmax_dim = max(img.size)\n\n\t\tif max_dim > 1000:\n\t\t\t# resize the ... | true |
7,487 | fdf76ff20260c25d95a9bf751fa78156071a7825 | class Helper:
def __init__(self):
self.commands = ["help",
"lottery",
"poll",
"polling",
"prophecy",
"roll",
"team",
"ub"]
... | [
"class Helper:\r\n def __init__(self):\r\n self.commands = [\"help\",\r\n \"lottery\",\r\n \"poll\",\r\n \"polling\",\r\n \"prophecy\",\r\n \"roll\",\r\n \"team\"... | false |
7,488 | 5ad8db85f4f705173cf5d0649af6039ebe1544b2 | text=open('mytext.txt','w')
x=text.write("I like coding\nit is a new part\nof my life!!!")
text=open('mytext.txt')
read=text.readlines()
i=0
counter=0
total=0
print("number of lines :"+str(len(read)))
while i<=len(read)-1:
counter=counter+read[i].count('\n') + read[i].count(' ')
total+=len(read[i])-read[i].cou... | [
"text=open('mytext.txt','w')\nx=text.write(\"I like coding\\nit is a new part\\nof my life!!!\")\ntext=open('mytext.txt')\nread=text.readlines()\ni=0\ncounter=0\ntotal=0\nprint(\"number of lines :\"+str(len(read)))\n\nwhile i<=len(read)-1:\n counter=counter+read[i].count('\\n') + read[i].count(' ')\n total+=l... | false |
7,489 | 973a58013160cbc71ca46f570bde61eaff87f6a7 | from Adafruit_LSM9DS0 import Adafruit_LSM9DS0
import math
imu = Adafruit_LSM9DS0()
pi = 3.14159265358979323846 # Written here to increase performance/ speed
r2d = 57.2957795 # 1 radian in degrees
loop = 0.05 #
tuning = 0.98 # Constant for tuning Complimentary filter
# Converting accelerometer readings to degrees
ax ... | [
"from Adafruit_LSM9DS0 import Adafruit_LSM9DS0\nimport math\n\nimu = Adafruit_LSM9DS0()\n\npi = 3.14159265358979323846 # Written here to increase performance/ speed\nr2d = 57.2957795 # 1 radian in degrees\nloop = 0.05 #\ntuning = 0.98 # Constant for tuning Complimentary filter\n\n# Converting accelerometer readings... | true |
7,490 | 7ae328bcfdec2d17fceb5d707f13cf495fde4469 | import os
import re
import time
import numpy as np
import pandas as pd
from sklearn.cluster import AgglomerativeClustering
import math
import edlib
from progress.bar import IncrementalBar as Bar
from multiprocessing import Pool
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--pools",
... | [
"import os\nimport re\nimport time\nimport numpy as np\nimport pandas as pd\nfrom sklearn.cluster import AgglomerativeClustering\nimport math\nimport edlib\nfrom progress.bar import IncrementalBar as Bar\nfrom multiprocessing import Pool\nimport argparse\n\nparser = argparse.ArgumentParser()\nparser.add_argument(\"... | false |
7,491 | 763d448bc447b88d5f2de777a475a1dd50906527 | class Solution:
def jump(self, nums: List[int]) -> int:
l = len(nums)
jump = 0
curEnd = 0
curFarthest = 0
for i in range(l-1):
curFarthest= max(curFarthest,i+nums[i])
if i==curEnd:
jump+=1
curEnd = curFarthest
re... | [
"class Solution:\n def jump(self, nums: List[int]) -> int:\n l = len(nums)\n jump = 0\n curEnd = 0\n curFarthest = 0\n for i in range(l-1):\n curFarthest= max(curFarthest,i+nums[i])\n if i==curEnd:\n jump+=1\n curEnd = curFart... | false |
7,492 | 24b1afb18e1cfdc8d5a62f5ee0147b2d73bc10d8 | #
# Copyright 2021 Splunk 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, so... | [
"#\n# Copyright 2021 Splunk 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 t... | false |
7,493 | abbefb1e426408b32fa9e125c78b572de22dbb8c | import unittest
from unittest.mock import patch
from fsqlfly.db_helper import *
from fsqlfly.tests.base_test import FSQLFlyTestCase
class MyTestCase(FSQLFlyTestCase):
def test_positive_delete(self):
namespace = Namespace(name='iii')
self.session.add(namespace)
self.session.commit()
... | [
"import unittest\nfrom unittest.mock import patch\nfrom fsqlfly.db_helper import *\nfrom fsqlfly.tests.base_test import FSQLFlyTestCase\n\n\nclass MyTestCase(FSQLFlyTestCase):\n def test_positive_delete(self):\n namespace = Namespace(name='iii')\n self.session.add(namespace)\n self.session.c... | false |
7,494 | ab0c3cf3e43f34874dd94629b746ca1237c3349a | import time
import numpy as np
import matplotlib.pyplot as plt #tutorial: http://pybonacci.org/2012/05/19/manual-de-introduccion-a-matplotlib-pyplot-ii-creando-y-manejando-ventanas-y-configurando-la-sesion/
import threading
from random import shuffle
T = 1
eps = 0.000000001
agilityMin = 1/T
'''------------GOVERMENT'... | [
"import time\nimport numpy as np\nimport matplotlib.pyplot as plt #tutorial: http://pybonacci.org/2012/05/19/manual-de-introduccion-a-matplotlib-pyplot-ii-creando-y-manejando-ventanas-y-configurando-la-sesion/\nimport threading\nfrom random import shuffle\n\n\nT = 1\neps = 0.000000001\nagilityMin = 1/T\n\n'''------... | false |
7,495 | f3b697e20f60e51d80d655ddf4809aa9afdfcd69 | # -*- coding: utf-8 -*-
"""
Editor de Spyder
Este es un archivo temporal.
"""
def largo (l, n):
i=0
cuenta=1
valor1=0
valor2=0
while cuenta < n+1 or cuenta==n+1:
a=l[i]
b=l[i+1]
if a==b:
cuenta+= 1
valor1=a
i+=1
cuenta=1
while cuenta ... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nEditor de Spyder\n\nEste es un archivo temporal.\n\"\"\"\n\ndef largo (l, n):\n i=0\n cuenta=1\n valor1=0\n valor2=0\n while cuenta < n+1 or cuenta==n+1:\n a=l[i]\n b=l[i+1]\n if a==b:\n cuenta+= 1\n valor1=a\n i+=1\n... | false |
7,496 | 1066f86d3a35e892ca2a7054dfc89fe79f1d32c8 | from django.db import models
from helpers.models import BaseAbstractModel
from Auth.models import Profile
# from Jobs.models import UserJob
from django.db.models.signals import post_save
from django.dispatch import receiver
# Create your models here.
class Notification(BaseAbstractModel):
title = models.CharField(m... | [
"from django.db import models\nfrom helpers.models import BaseAbstractModel\nfrom Auth.models import Profile\n# from Jobs.models import UserJob\nfrom django.db.models.signals import post_save\nfrom django.dispatch import receiver\n# Create your models here.\nclass Notification(BaseAbstractModel):\n title = model... | false |
7,497 | 18dc01f3e1672407800e53d80a85ffc8d5b86c17 | #
# Copyright (C) 2020 RFI
#
# Author: James Parkhurst
#
# This code is distributed under the GPLv3 license, a copy of
# which is included in the root directory of this package.
#
import logging
import numpy
from maptools.util import read, write
# Get the logger
logger = logging.getLogger(__name__)
def array_rebin(... | [
"#\n# Copyright (C) 2020 RFI\n#\n# Author: James Parkhurst\n#\n# This code is distributed under the GPLv3 license, a copy of\n# which is included in the root directory of this package.\n#\nimport logging\nimport numpy\nfrom maptools.util import read, write\n\n\n# Get the logger\nlogger = logging.getLogger(__name__)... | false |
7,498 | 9184779731d6102498934d77b6d3c0283fc594d9 | from pwn import *
hostname = "pwnable.kr"
portnum = 2222
username = "input2"
passwd = "guest"
def main():
args = ["./input"]
print("./input", end="")
for x in range(99):
print(" AA", end="")
args.append("AA")
print(args)
'''
s = ssh(host=hostname,
port=portnum,
... | [
"from pwn import *\n\nhostname = \"pwnable.kr\"\nportnum = 2222\nusername = \"input2\"\npasswd = \"guest\"\n\ndef main():\n\n args = [\"./input\"]\n print(\"./input\", end=\"\")\n for x in range(99):\n print(\" AA\", end=\"\")\n args.append(\"AA\")\n\n print(args)\n\n'''\n s = ssh(ho... | false |
7,499 | 1ce7b292f89fdf3f978c75d4cdf65b6991f71d6f | # Generated by Django 2.2.1 on 2019-05-05 18:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='divida',
name='id_cliente',
... | [
"# Generated by Django 2.2.1 on 2019-05-05 18:41\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('core', '0001_initial'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='divida',\n name='id_cli... | false |
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