index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
9,900 | 58efaad41d02bb5dffbf71c478c7fad12af68e5b | # 自定义购物车项类
class CartItem():
def __init__(self, book, amount):
self.book = book
self.amount = int(amount)
# 自定义购物车
class Cart():
def __init__(self):
self.book_list = []
self.total = 0
self.save = 0
def total_price(self):
ele = 0
for i in self.book_li... | [
"# 自定义购物车项类\nclass CartItem():\n def __init__(self, book, amount):\n self.book = book\n self.amount = int(amount)\n\n# 自定义购物车\nclass Cart():\n def __init__(self):\n self.book_list = []\n self.total = 0\n self.save = 0\n\n def total_price(self):\n ele = 0\n f... | false |
9,901 | 3022cade3bfa36925bcbda8023e5cd98ed33d093 |
# coding: utf-8
# In[1]:
#coding:utf8
import matplotlib
import os
if 'DISPLAY' not in os.environ:
matplotlib.use('Agg')
else:
pass
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
from matplotlib import pyplot as plt
import seaborn as sns
from tqdm import tq... | [
"\n# coding: utf-8\n\n# In[1]:\n\n\n#coding:utf8\nimport matplotlib\nimport os\nif 'DISPLAY' not in os.environ:\n matplotlib.use('Agg')\nelse:\n pass\nimport torch\nimport torch.nn as nn\nfrom torch.autograd import Variable\nimport torch.optim as optim\nfrom matplotlib import pyplot as plt\nimport seaborn as ... | false |
9,902 | 148b849ae43617dde8dbb0c949defa2f390ce5cd | class Solution(object):
def oddCells(self, m, n, indices):
"""
:type m: int
:type n: int
:type indices: List[List[int]]
:rtype: int
"""
indice_x_dict = {}
indice_y_dict = {}
for x, y in indices:
indice_x_dict[x] = indice_x_dict.get(... | [
"class Solution(object):\n def oddCells(self, m, n, indices):\n \"\"\"\n :type m: int\n :type n: int\n :type indices: List[List[int]]\n :rtype: int\n \"\"\"\n indice_x_dict = {}\n indice_y_dict = {}\n for x, y in indices:\n indice_x_dict[x... | false |
9,903 | dabd835ff02f2adb01773fb7dd7099206cbae162 | N=int(input())
S=input()
ans=0
for i in range(1000):
l=str(i).zfill(3);k=0
for j in range(N):
if S[j]==l[k]:
k+=1
if k==3:ans+=1;break
print(ans)
| [
"N=int(input())\nS=input()\nans=0\nfor i in range(1000):\n l=str(i).zfill(3);k=0\n for j in range(N):\n if S[j]==l[k]:\n k+=1\n if k==3:ans+=1;break\nprint(ans)\n",
"N = int(input())\nS = input()\nans = 0\nfor i in range(1000):\n l = str(i).zfill(3)\n k = 0\n for j in range(N):\n if S[j] == l... | false |
9,904 | aa1a7de92b971b6d10d09b2f8ca2c55516e538e4 | #! /usr/bin/env python
import tensorflow as tf
import numpy as np
import os
import time
import datetime
import data_helpers
from text_rnn import TextRNN
from tensorflow.contrib import learn
# Parameters
# ==================================================
# Data loading params
flags = tf.app.flags
FLAGS = flags.FLA... | [
"#! /usr/bin/env python\n\nimport tensorflow as tf\nimport numpy as np\nimport os\nimport time\nimport datetime\nimport data_helpers\nfrom text_rnn import TextRNN\nfrom tensorflow.contrib import learn\n\n\n# Parameters\n# ==================================================\n\n# Data loading params\nflags = tf.app.fl... | false |
9,905 | 5b440484c5d7f066c54837c2812967a0ff360399 | from datetime import date
from django.conf import settings
from django.utils.decorators import decorator_from_middleware_with_args
from django.views.decorators.cache import cache_page
from django.middleware.cache import CacheMiddleware
lt_cache = cache_page(settings.CACHES['eregs_longterm_cache']['TIMEOUT'],
... | [
"from datetime import date\n\nfrom django.conf import settings\nfrom django.utils.decorators import decorator_from_middleware_with_args\nfrom django.views.decorators.cache import cache_page\nfrom django.middleware.cache import CacheMiddleware\n\n\nlt_cache = cache_page(settings.CACHES['eregs_longterm_cache']['TIMEO... | false |
9,906 | f73faabe955e3ae05039e58ebabe5c012e080f38 | import time
import math
from wpilib import SmartDashboard
from wpilib.command import Command
import robotmap
import subsystems
class TankDriveResetEncoders(Command):
def __init__(self):
super().__init__('TankDriveTurnToHeading')
self.requires(subsystems.driveline)
self.setInterruptible(... | [
"import time\nimport math\n\nfrom wpilib import SmartDashboard\nfrom wpilib.command import Command\n\nimport robotmap\nimport subsystems\n\n\nclass TankDriveResetEncoders(Command):\n\n def __init__(self):\n super().__init__('TankDriveTurnToHeading')\n self.requires(subsystems.driveline)\n se... | false |
9,907 | 263d2fe43cf8747f20fd51897ba003c9c4cb4280 | """
Configuration management.
Environment must be set before use.
Call .get() to obtain configuration variable. If the variable does not exist
in the set environment, then
"""
CONFIG_KEY = "config_class"
ENV = {}
class EMPTY:
"""
Signifies that a default value was not set. Should trigger an error if
... | [
"\"\"\"\nConfiguration management.\n\nEnvironment must be set before use.\n\nCall .get() to obtain configuration variable. If the variable does not exist\nin the set environment, then\n\"\"\"\n\n\nCONFIG_KEY = \"config_class\"\nENV = {}\n\n\nclass EMPTY:\n\n \"\"\"\n Signifies that a default value was not set... | false |
9,908 | 01339324ad1a11aff062e8b27efabf27c97157fb | import os
import cv2
import numpy as np
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from numpy import array
import tensorflow as tf
TRAIN_DIR = 'C:/Users/vgg/untitled/MNIST/trainingSet/'
train_folder_list = array(os.listdir(TRAIN_DIR))
train_input = []
tr... | [
"import os\r\nimport cv2\r\nimport numpy as np\r\nfrom sklearn.preprocessing import LabelEncoder\r\nfrom sklearn.preprocessing import OneHotEncoder\r\nfrom numpy import array\r\nimport tensorflow as tf\r\n\r\nTRAIN_DIR = 'C:/Users/vgg/untitled/MNIST/trainingSet/'\r\ntrain_folder_list = array(os.listdir(TRAIN_DIR))\... | false |
9,909 | 1be5de71615eae6c9074e67b0dcaabbac4d82e2b | def
a = 10
b = 2
c = 3
cal(a,b,c) | [
"def\n\na = 10\nb = 2\nc = 3\n\ncal(a,b,c)"
] | true |
9,910 | 0eb86fc64b74c79cace838e2d71ed92533123229 | #!/usr/bin/env python
#------------------------------------------------------------------------------
# imsrg_pairing.py
#
# author: H. Hergert
# version: 1.5.0
# date: Dec 6, 2016
#
# tested with Python v2.7
#
# Solves the pairing model for four particles in a basis of four doubly
# degenerate states by me... | [
"#!/usr/bin/env python\n\n#------------------------------------------------------------------------------\n# imsrg_pairing.py\n#\n# author: H. Hergert \n# version: 1.5.0\n# date: Dec 6, 2016\n# \n# tested with Python v2.7\n# \n# Solves the pairing model for four particles in a basis of four doubly \n# degene... | false |
9,911 | dbefca59376e567a6116dec4e07c44b1fe301ca9 | ba1466.pngMap = [
'11111111111111111111111111111100000000011111111111111111111111111000000000000000011111111111111111111111111111111111111111111111',
'11111111111111111111111111111110000000011111111111111111111111111000000000000000011111111111111111111111111111111111111111111111',
'1111111111111111111111111111111000000... | [
"ba1466.pngMap = [\n'11111111111111111111111111111100000000011111111111111111111111111000000000000000011111111111111111111111111111111111111111111111',\n'11111111111111111111111111111110000000011111111111111111111111111000000000000000011111111111111111111111111111111111111111111111',\n'11111111111111111111111111111... | false |
9,912 | c8a6a8633f863e0350157346106a747096d26939 |
import re
import cgi
import os
import urllib
import urllib2
from time import sleep
from google.appengine.api import taskqueue
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
from google.appengine.ext import db
from google.appengine.api import urlfetch
from google.ap... | [
"\n\nimport re\nimport cgi\nimport os\nimport urllib\nimport urllib2\n\nfrom time import sleep\n\nfrom google.appengine.api import taskqueue\nfrom google.appengine.ext import webapp\nfrom google.appengine.ext.webapp.util import run_wsgi_app\nfrom google.appengine.ext import db\nfrom google.appengine.api import urlf... | false |
9,913 | 4d1900c1a0a8d7639e0ec16fb0128fd8efc2e8a1 | import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0,1"
import logging
import itertools
import torch
from torch import nn, optim
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from setproctitle import setproctitle
from ... | [
"import os\nos.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0,1\"\nimport logging\nimport itertools\n\nimport torch\nfrom torch import nn, optim\nfrom torch.optim import lr_scheduler\nfrom torch.utils.data import DataLoader\nfrom torch.utils.tensorboard import SummaryWriter\n\nfrom tqdm import tqdm\nfrom setproctitle impo... | false |
9,914 | 2c82dd33180a7442607e5cbedf8846bd72b37150 | import urllib.request
import json
import dml, prov.model
import datetime, uuid
import geojson
# import csv
"""
Skelton file provided by lapets@bu.edu
Heavily modified by bmroach@bu.edu
City of Boston Open Spaces (Like parks, etc)
Development notes:
"""
class retrieve_open_space(dml.Algorithm):
contributor = '... | [
"import urllib.request\nimport json\nimport dml, prov.model\nimport datetime, uuid\nimport geojson\n# import csv\n\n\"\"\"\nSkelton file provided by lapets@bu.edu\nHeavily modified by bmroach@bu.edu\n\nCity of Boston Open Spaces (Like parks, etc)\n\nDevelopment notes:\n\n\n\"\"\"\n\nclass retrieve_open_space(dml.Al... | false |
9,915 | 7f220a970d65a91228501f7db59089e6c0604fb5 | # -*- coding: utf-8 -*-
import os
import sys
import socket
import signal
import functools
import atexit
import tempfile
from subprocess import Popen, PIPE, STDOUT
from threading import Thread
from queue import Queue, Empty
from time import sleep
import json
from .exceptions import CommandError, TimeoutWaitingFor
ON_PO... | [
"# -*- coding: utf-8 -*-\nimport os\nimport sys\nimport socket\nimport signal\nimport functools\nimport atexit\nimport tempfile\nfrom subprocess import Popen, PIPE, STDOUT\nfrom threading import Thread\nfrom queue import Queue, Empty\nfrom time import sleep\nimport json\nfrom .exceptions import CommandError, Timeou... | false |
9,916 | 87a4fcb26464925952dde57fecf4709f01e9fed7 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import JsonResponse
from django.views.generic import CreateView, UpdateView, ListView, \
DeleteView, TemplateView
from example.forms import EditorTextForm
from example.models import EdidorText
class AjaxableResponseMixin:
"""
Mixi... | [
"from django.contrib.auth.mixins import LoginRequiredMixin\nfrom django.http import JsonResponse\nfrom django.views.generic import CreateView, UpdateView, ListView, \\\n DeleteView, TemplateView\n\nfrom example.forms import EditorTextForm\nfrom example.models import EdidorText\n\n\nclass AjaxableResponseMixin:\n... | false |
9,917 | 9555ed63b3906ec23c31839691a089aad9d96c63 | # Generated by Django 2.1.7 on 2019-03-14 07:27
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('training_area', '0002_event'),
]
operations = [
migrations.AddField(
model_name='event',
... | [
"# Generated by Django 2.1.7 on 2019-03-14 07:27\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('training_area', '0002_event'),\n ]\n\n operations = [\n migrations.AddField(\n model_n... | false |
9,918 | 2eddd446dc59695b185be368b359bae78a868b90 |
##Problem 10 «The number of even elements of the sequence» (Medium)
##Statement
##Determine the number of even elements in the sequence ending with the number 0.
a = True
i = 0
while a is True:
x = int(input())
if x != 0:
if x%2 == 0:
i = i+1
else:
a =False
print(i)
| [
"\n##Problem 10 «The number of even elements of the sequence» (Medium)\n##Statement\n##Determine the number of even elements in the sequence ending with the number 0. \n\n\na = True\ni = 0\nwhile a is True:\n x = int(input())\n if x != 0:\n if x%2 == 0:\n i = i+1\n else:\n a =False... | true |
9,919 | 839d4182663983a03975465d3909631bd6db1d83 | import pytz
from django.utils import timezone
class TimezoneMiddleware(object):
""" Middleware to get user's timezone and activate timezone
if user timezone is not available default value 'UTC' is activated """
def process_request(self, request):
user = request.user
if hasattr(user, ... | [
"import pytz\n\nfrom django.utils import timezone\n\n\nclass TimezoneMiddleware(object):\n \"\"\" Middleware to get user's timezone and activate timezone \n if user timezone is not available default value 'UTC' is activated \"\"\"\n def process_request(self, request):\n user = request.user\n ... | false |
9,920 | f6b2169a4644f4f39bbdebd9bb9c7cc637b54f8b | import sys
def main():
# String to format output
format_string = "%s %s %s %s %s %s %s %s %s\n"
while True:
# Read 14 lines at a time from stdin for wikipedia dataset
edit = [sys.stdin.readline() for i in range(14)]
# Break if we've reached the end of stdin
if edit[13] == "":
break
# Parse data from re... | [
"import sys\n\ndef main():\n\t# String to format output\n\tformat_string = \"%s %s %s %s %s %s %s %s %s\\n\"\n\twhile True:\n\t\t# Read 14 lines at a time from stdin for wikipedia dataset\n\t\tedit = [sys.stdin.readline() for i in range(14)]\n\t\t# Break if we've reached the end of stdin\n\t\tif edit[13] == \"\":\n... | false |
9,921 | 05f5931a53c9916f151f42910575f9c5533bfceb | import sys
import HTSeq
import re
import string
import glob
import os
import time
import difflib
import argparse
def parse_input():
parser = argparse.ArgumentParser(description="""
USAGE: python make_figs.py -f data_file
""")
# If the -b option is used, tRNAs with no tails are not counted.
# This... | [
"import sys\nimport HTSeq\nimport re\nimport string\nimport glob\nimport os\nimport time\nimport difflib\nimport argparse\n\n\ndef parse_input():\n parser = argparse.ArgumentParser(description=\"\"\"\n USAGE: python make_figs.py -f data_file\n \"\"\")\n\n # If the -b option is used, tRNAs with no tails ... | true |
9,922 | 5f680fb21fe1090dfb58f5b9260739b91ae04d99 | from django import forms
from django.contrib.auth.models import User
from ServicePad.apps.account.models import UserProfile
import hashlib, random, datetime
from ServicePad.apps.registration.models import ActivationKey
MIN_PASSWORD_LENGTH=8
MAX_PASSWORD_LENGTH=30
class UserRegistrationForm(forms.Form):
first_name... | [
"from django import forms\nfrom django.contrib.auth.models import User\nfrom ServicePad.apps.account.models import UserProfile\nimport hashlib, random, datetime\nfrom ServicePad.apps.registration.models import ActivationKey\n\nMIN_PASSWORD_LENGTH=8\nMAX_PASSWORD_LENGTH=30\n\nclass UserRegistrationForm(forms.Form):\... | false |
9,923 | 964499c02548a7e790d96efcd780f471ab1fe1e3 | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from database_setup import Category, Base, CategoryItem, User
engine = create_engine('postgresql:///thegoodybasket')
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
... | [
"from sqlalchemy import create_engine\nfrom sqlalchemy.orm import sessionmaker\n\nfrom database_setup import Category, Base, CategoryItem, User\n\nengine = create_engine('postgresql:///thegoodybasket')\n# Bind the engine to the metadata of the Base class so that the\n# declaratives can be accessed through a DBSessi... | true |
9,924 | e9fab2bb49cfda00b8cfedafab0009f691d11ec9 | from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.contenttypes.models import ContentType
from User.forms import EditProfileForm
from User import forms
from django.db.models import Q
from django.contrib import messages
from django.urls import reverse
from django.http import HttpRespons... | [
"from django.shortcuts import render, get_object_or_404, redirect\nfrom django.contrib.contenttypes.models import ContentType\nfrom User.forms import EditProfileForm\nfrom User import forms\nfrom django.db.models import Q\nfrom django.contrib import messages\nfrom django.urls import reverse\nfrom django.http import... | false |
9,925 | f2a94f6bfe86af439a8248b40732340c45d89b93 | # -------------------------------------------------------------------------
# File: mb_trap.py
# Created: Tue Feb 7 20:51:32 2006
# -------------------------------------------------------------------------
import random
import mb_io
import mb_subs
from mb_go import GameObject
class Trap(GameObject):
"""
... | [
"# -------------------------------------------------------------------------\n# File: mb_trap.py\n# Created: Tue Feb 7 20:51:32 2006\n# -------------------------------------------------------------------------\n\nimport random\n\nimport mb_io\nimport mb_subs\nfrom mb_go import GameObject\n\nclass Trap(GameObj... | false |
9,926 | d6af9a75fbe8bdf1a81a352cee71ac81fb373b86 | import os
import sys
import socket
__target__ = '${EXTERNAL_HOST}'
sources = {}
def process_the_source(fname, dest=None, host_ip=None, verbose=False):
assert (os.path.exists(fname) and os.path.isfile(fname)), 'Cannot proceed without the fname in process_the_source().'
the_lines = []
with open(fname, 'r')... | [
"import os\nimport sys\nimport socket\n\n__target__ = '${EXTERNAL_HOST}'\n\nsources = {}\n\ndef process_the_source(fname, dest=None, host_ip=None, verbose=False):\n assert (os.path.exists(fname) and os.path.isfile(fname)), 'Cannot proceed without the fname in process_the_source().'\n the_lines = []\n with ... | false |
9,927 | 8058ff209af03b7365ffad2a9ce2e2805b548f53 | from tkinter import ttk
import tkinter as tk
import pyodbc
#ConnectingDatabase#
from tkinter import messagebox
conn = pyodbc.connect('Driver={SQL Server};'
'Server=MUTHUCOMPUTER;'
'Database=Class4c v1;'
'Trusted_Connection=yes;')
cursor = ... | [
"from tkinter import ttk\r\nimport tkinter as tk\r\nimport pyodbc\r\n\r\n\r\n#ConnectingDatabase#\r\n\r\nfrom tkinter import messagebox\r\nconn = pyodbc.connect('Driver={SQL Server};'\r\n 'Server=MUTHUCOMPUTER;'\r\n 'Database=Class4c v1;'\r\n 'Trusted_C... | false |
9,928 | cc094f8aeff3b52bd9184f7b815320529ecb4550 | from flask import Flask
app = Flask(__name__)
@app.route('/')
def root():
return "Test!"
@app.route('/federal/geographic')
def federal_geographic():
pass
@app.route('/federal/issue')
def federal_issue():
pass
@app.route('/state/geographic')
def state_geographic():
pass
@app.route('/local/temporal'... | [
"from flask import Flask\n\napp = Flask(__name__)\n\n@app.route('/')\ndef root():\n return \"Test!\"\n\n@app.route('/federal/geographic')\ndef federal_geographic():\n pass\n\n@app.route('/federal/issue')\ndef federal_issue():\n pass\n\n@app.route('/state/geographic')\ndef state_geographic():\n pass\n\n@... | false |
9,929 | 06605bbd91c62a02a66770ca3f37a9d2d1401ccb | from flask import Flask, render_template, url_for, request, jsonify
from model.model import load_site_config, load_hero_mapping, load_pretrained_model, valid_input, data_to_feature
from model.model import combine_list, hero_ids
from itertools import product
import numpy as np
app = Flask(__name__,static_folder='./stat... | [
"from flask import Flask, render_template, url_for, request, jsonify\nfrom model.model import load_site_config, load_hero_mapping, load_pretrained_model, valid_input, data_to_feature\nfrom model.model import combine_list, hero_ids\nfrom itertools import product\nimport numpy as np\n\napp = Flask(__name__,static_fol... | false |
9,930 | 1f63f9234596787e4859b740d3a7fbfaacc9c0c8 | import random
import glob
import json
import time
from torch.utils.data import Dataset, DataLoader, SubsetRandomSampler
from SimpleDataLoader import CustomDataset, get_params_from_filename
import numpy as np
from DNN_model import Net
import torch.optim as optim
import torch.nn as nn
import torch
from tqdm import tqdm
... | [
"import random\nimport glob\nimport json\nimport time\n\nfrom torch.utils.data import Dataset, DataLoader, SubsetRandomSampler\nfrom SimpleDataLoader import CustomDataset, get_params_from_filename\nimport numpy as np\nfrom DNN_model import Net\nimport torch.optim as optim\nimport torch.nn as nn\nimport torch\nfrom ... | false |
9,931 | c6e315d7dd44b998f64eee079f2d8455ffecdc30 | from PyQt4.QtGui import QSystemTrayIcon, QApplication, QMenu, QIcon
class SystemTrayIcon(QSystemTrayIcon):
def __init__(self, parent=None):
super(SystemTrayIcon, self).__init__(parent)
self.set_icon_state(QIcon.Disabled)
menu = QMenu(parent)
self.exit_action = menu.addActio... | [
"from PyQt4.QtGui import QSystemTrayIcon, QApplication, QMenu, QIcon\r\n\r\n\r\nclass SystemTrayIcon(QSystemTrayIcon):\r\n def __init__(self, parent=None):\r\n super(SystemTrayIcon, self).__init__(parent)\r\n self.set_icon_state(QIcon.Disabled)\r\n menu = QMenu(parent)\r\n self.exit_a... | false |
9,932 | 519746450826d02230a492a99e0b518602d53fcb | #classes that store values related to levels
from mg_cus_struct import *
from mg_movement import *
import copy
class BulletTemplate(object) :
def __init__(self, animationName, initialVelocity, hitbox) :
self._spawningCycle = 0
self._animationName = animationName
self._initialVelocity = init... | [
"#classes that store values related to levels\nfrom mg_cus_struct import *\nfrom mg_movement import *\nimport copy\n\nclass BulletTemplate(object) :\n def __init__(self, animationName, initialVelocity, hitbox) :\n self._spawningCycle = 0\n self._animationName = animationName\n self._initialV... | false |
9,933 | 7e461e212d9944c229d1473ea16283d3d036bf55 | import tensorflow as tf
import gensim
import string
import numpy as np
import random
##### prepare data
path = 'stanfordSentimentTreebank/output_50d.txt'
# model_path = 'stanfordSentimentTreebank/output'
# model = gensim.models.Word2Vec.load(model_path)
model = gensim.models.KeyedVectors.load_word2vec_format('/Users/i... | [
"import tensorflow as tf\nimport gensim\nimport string\nimport numpy as np\nimport random\n\n##### prepare data\npath = 'stanfordSentimentTreebank/output_50d.txt'\n# model_path = 'stanfordSentimentTreebank/output'\n# model = gensim.models.Word2Vec.load(model_path)\nmodel = gensim.models.KeyedVectors.load_word2vec_f... | true |
9,934 | 9b8f3962172d4a867a3a070b6139bb302fd7e2f5 | import tkinter as tk
import Widgets as wg
import Logic as lgc
from tkinter.ttk import Separator
from tkinter.messagebox import showerror, showinfo
# Fonts that we can utilise
FONTS = {"large":("Helvetica", 20), "medium":("Helvetica", 16), "small":("Helvetica", 12)}
class Handler: # Handles the window and... | [
"import tkinter \t\tas tk\nimport Widgets \t\tas wg\nimport Logic \t\tas lgc\nfrom tkinter.ttk \timport Separator\nfrom tkinter.messagebox import showerror, showinfo\n\n# Fonts that we can utilise\nFONTS = {\"large\":(\"Helvetica\", 20), \"medium\":(\"Helvetica\", 16), \"small\":(\"Helvetica\", 12)}\n\nclass ... | false |
9,935 | 1c134cba779459b57f1f3c195aed37d105b94aef | # wfp, 6/6
# simple list stuff
my_list = [1,'a',3.14]
print("my_list consists of: ",my_list)
print()
print("Operations similar to strings")
print("Concatenation")
print("my_list + ['bill'] equals: ", my_list + ["bill"])
print()
print("Repeat")
print("my_list * 3 equals: ", my_list * 3)
print()
print("In... | [
"# wfp, 6/6\r\n# simple list stuff\r\n\r\nmy_list = [1,'a',3.14]\r\nprint(\"my_list consists of: \",my_list)\r\nprint()\r\n\r\nprint(\"Operations similar to strings\")\r\nprint(\"Concatenation\")\r\nprint(\"my_list + ['bill'] equals: \", my_list + [\"bill\"])\r\nprint()\r\nprint(\"Repeat\")\r\nprint(\"my_list * 3 e... | false |
9,936 | 76ebab93441676f9f00b2c2d63435e72c2d5d1ba | import pyodbc
from configuration.config import Configuration
from models.entities import Entities
from models.columns import Columns
from models.relationships import Relationship
from models.synonyms import Synonyms
from spacy.lemmatizer import Lemmatizer
from spacy.lookups import Lookups
class DBModel(object):
... | [
"import pyodbc\n\nfrom configuration.config import Configuration\nfrom models.entities import Entities\nfrom models.columns import Columns\nfrom models.relationships import Relationship\nfrom models.synonyms import Synonyms\n\nfrom spacy.lemmatizer import Lemmatizer\nfrom spacy.lookups import Lookups\n\n\nclass DBM... | false |
9,937 | 3cdb39e201983e672f6c22c25492a120be3d0d48 | """
"""
#####################################################################
#This software was developed by the University of Tennessee as part of the
#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
#project funded by the US National Science Foundation.
#See the license text in license.txt
#copyr... | [
"\"\"\"\n\"\"\"\n#####################################################################\n#This software was developed by the University of Tennessee as part of the\n#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)\n#project funded by the US National Science Foundation.\n#See the license text in l... | true |
9,938 | d1254e558217cce88de2f83b87d5c54333f1c677 | import os, sys, time, random, subprocess
def load_userdata(wallet, pool, ww, logger, adminka):
with open("D:\\msys64\\xmrig-master\\src\\ex.cpp", "r") as f:
file = f.read()
file = file.replace("%u%", wallet)
file = file.replace("%p%", pool)
file = file.replace("%w%", ww)
wi... | [
"import os, sys, time, random, subprocess\n\n\ndef load_userdata(wallet, pool, ww, logger, adminka):\n with open(\"D:\\\\msys64\\\\xmrig-master\\\\src\\\\ex.cpp\", \"r\") as f:\n file = f.read()\n file = file.replace(\"%u%\", wallet)\n file = file.replace(\"%p%\", pool)\n file = file.... | false |
9,939 | babb5ac680c74e19db5c86c2c3323e8285d169ff | class MyClass:
name = "alice"
def set_name(self, name):
self.name = name
def get_name(self):
return self.name
def say_hello(self):
self.greet = "Hello"
def say_hi(self):
print("HI~~~~~")
p1 = MyClass()
p2 = MyClass()
print(p1.name)
p1.s... | [
"class MyClass:\n name = \"alice\"\n \n def set_name(self, name):\n self.name = name\n \n def get_name(self):\n return self.name\n \n def say_hello(self):\n self.greet = \"Hello\"\n \n def say_hi(self):\n print(\"HI~~~~~\")\n \n\n\np1 = MyClass()\np2 = M... | false |
9,940 | e9754530bef7614c16cdba0e818c1fa188e2d9a2 | import os
import numpy as np
import pycuda
import pycuda.driver as driver
import cudasim.solvers.cuda.Simulator_mg as sim
import cudasim
class Lsoda(sim.SimulatorMG):
_param_tex = None
_step_code = None
_runtimeCompile = True
_lsoda_source_ = """
extern "C"{
#include <stdio.h>
... | [
"import os\n\nimport numpy as np\nimport pycuda\nimport pycuda.driver as driver\n\nimport cudasim.solvers.cuda.Simulator_mg as sim\nimport cudasim\n\nclass Lsoda(sim.SimulatorMG):\n _param_tex = None\n\n _step_code = None\n _runtimeCompile = True\n\n _lsoda_source_ = \"\"\"\n \n extern \"C\"{\n\n ... | false |
9,941 | aba3e0907e59bc5125759e90d3c784ceb97fca80 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# python/motorcycle.py Author "Nathan Wycoff <nathanbrwycoff@gmail.com>" Date 06.23.2019
# Run a CGAN on the motorcycle data.
import keras
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
np.random.seed(123)
import tensorflow as tf
from scipy.opt... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n# python/motorcycle.py Author \"Nathan Wycoff <nathanbrwycoff@gmail.com>\" Date 06.23.2019\n\n# Run a CGAN on the motorcycle data.\nimport keras\nimport numpy as np\nfrom tqdm import tqdm\nimport matplotlib.pyplot as plt\n\nnp.random.seed(123)\nimport tensorflow as... | false |
9,942 | bee96e817dd4d9462c1e3f8eb525c22c2117140a | #!/usr/bin/env python
from math import *
import numpy as np
import matplotlib.pyplot as plt
import Input as para
data = np.loadtxt("eff-proton.dat")
#data = np.loadtxt("eff-electron.dat")
show_time = data[0]
show_eff = data[1]
#print show_turn, show_eff
#x_lower_limit = min(show_time)
#x_upper_limit = max(show_time)... | [
"#!/usr/bin/env python\nfrom math import *\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport Input as para\n\ndata = np.loadtxt(\"eff-proton.dat\")\n#data = np.loadtxt(\"eff-electron.dat\")\n\nshow_time = data[0]\nshow_eff = data[1]\n#print show_turn, show_eff\n\n#x_lower_limit = min(show_time)\n#x_upper... | false |
9,943 | 80e395715d3ae216beb17e7caed1d8d03c5c56de | """
Python shell for Diofant.
This is just a normal Python shell (IPython shell if you have the
IPython package installed), that adds default imports and run
some initialization code.
"""
import argparse
import ast
import atexit
import code
import os
import readline
import rlcompleter
from diofant.interactive.sessio... | [
"\"\"\"\nPython shell for Diofant.\n\nThis is just a normal Python shell (IPython shell if you have the\nIPython package installed), that adds default imports and run\nsome initialization code.\n\"\"\"\n\nimport argparse\nimport ast\nimport atexit\nimport code\nimport os\nimport readline\nimport rlcompleter\n\nfrom... | false |
9,944 | 85d40a49341c7bd7af7a5dc62e4bce0253eb25e6 | # coding: utf-8
import sys, os
sys.path.append(os.pardir)
import matplotlib.pyplot as plt
from dataset.mnist import load_mnist
from common.util import smooth_curve
from common.multi_layer_net import MultiLayerNet
from common.optimizer import *
# 0. MNIST 데이터 로딩
(x_train, t_train), (x_test, t_test) = load... | [
"# coding: utf-8\r\n\r\n\r\nimport sys, os\r\nsys.path.append(os.pardir)\r\nimport matplotlib.pyplot as plt\r\nfrom dataset.mnist import load_mnist\r\nfrom common.util import smooth_curve\r\nfrom common.multi_layer_net import MultiLayerNet\r\nfrom common.optimizer import *\r\n\r\n# 0. MNIST 데이터 로딩\r\n(x_train, t_tr... | false |
9,945 | 97c5b75323bb143c87972b389e2f27e443c1e00c | ################################################################################
# Controller of the Darwin Squat-Stand task using numpy #
# Note: all joint data used in this file uses the dof indexing with #
# from the simulation environment, not the hardware. ... | [
"################################################################################\n# Controller of the Darwin Squat-Stand task using numpy #\n# Note: all joint data used in this file uses the dof indexing with #\n# from the simulation environment, not the hardware. ... | false |
9,946 | 2ee1539e051677ad38ab7727ff5edefb1aebd015 | class BaseException(Exception):
def __init__(self, message=""):
super(BaseException, self).__init__()
self.message = message
| [
"class BaseException(Exception):\n def __init__(self, message=\"\"):\n super(BaseException, self).__init__()\n self.message = message\n",
"class BaseException(Exception):\n\n def __init__(self, message=''):\n super(BaseException, self).__init__()\n self.message = message\n",
"c... | false |
9,947 | f57fa2787934dc2a002f82aa1af1f1d9a7f90da5 | """
file: babysit.py
language: python3
author: pan7447@rit.edu Parvathi Nair
author: vpb8262 Vishal Bulchandani
"""
"""
To compute the maximum pay a brother and sister can earn considering jobs that they can work on
together or separately depending on the number of children to babysit
"""
from operator import *
clas... | [
"\"\"\"\nfile: babysit.py\nlanguage: python3\nauthor: pan7447@rit.edu Parvathi Nair\nauthor: vpb8262 Vishal Bulchandani\n\n\"\"\"\n\"\"\"\nTo compute the maximum pay a brother and sister can earn considering jobs that they can work on\ntogether or separately depending on the number of children to babysit\n\n\"\"\"\... | false |
9,948 | 1df3a5dc8ed767e20d34c2836eed79872a21a016 | #LIBRERIAS
import cv2
import numpy as np
#FUNCION: recibe una imagen y te devuelve las coordenadas de las caras
def face_detector(img, face_cascade, eye_cascade, face_f):
#variables face_f
xf = face_f[0]
yf = face_f[1]
wf = face_f[2]
hf = face_f[3]
#variables img
xi = 0
yi = 0
... | [
"#LIBRERIAS\nimport cv2\nimport numpy as np\n\n#FUNCION: recibe una imagen y te devuelve las coordenadas de las caras\ndef face_detector(img, face_cascade, eye_cascade, face_f): \n\n #variables face_f\n xf = face_f[0]\n yf = face_f[1]\n wf = face_f[2]\n hf = face_f[3]\n \n #variables img\n ... | false |
9,949 | 8a2b7376369513ce403a2542fb8c6d5826b2169b | # -*- coding: utf-8 *-*
import MySQLdb
conn = MySQLdb.connect('localhost', 'ABarbara', 'root', '1dawabarbara') # Abro la conexión
def crearTabla(query): # Le paso la cadena que realizará el create como parámetro.
cursor = conn.cursor() #En un cursor (de la conexión) almaceno lo que quiero enviar a la base de da... | [
"# -*- coding: utf-8 *-*\nimport MySQLdb \n\nconn = MySQLdb.connect('localhost', 'ABarbara', 'root', '1dawabarbara') # Abro la conexión \n\ndef crearTabla(query): # Le paso la cadena que realizará el create como parámetro.\n\tcursor = conn.cursor() #En un cursor (de la conexión) almaceno lo que quiero enviar a l... | true |
9,950 | d10c74338ea18ef3e5fb6a4dd2224faa4f94aa62 | import pytest
from domain.story import Story
from tests.dot_dictionary import DotDict
@pytest.fixture()
def deployed_story_over_a_weekend():
revision_0 = DotDict({
'CreationDate': "2019-07-11T14:33:20.000Z"
})
revision_1 = DotDict({
'CreationDate': "2019-07-31T15:33:20.000Z",
'Descr... | [
"import pytest\nfrom domain.story import Story\nfrom tests.dot_dictionary import DotDict\n\n@pytest.fixture()\ndef deployed_story_over_a_weekend():\n revision_0 = DotDict({\n 'CreationDate': \"2019-07-11T14:33:20.000Z\"\n })\n revision_1 = DotDict({\n 'CreationDate': \"2019-07-31T15:33:20.000... | false |
9,951 | 86ee2300b5270df3dadb22f2cfea626e6556e5db | from torch import nn
from abc import ABCMeta, abstractmethod
class BaseEncoder(nn.Module):
__metaclass__ = ABCMeta
def __init__(self, **kwargs):
if len(kwargs) > 0:
raise RuntimeError(
"Unrecognized options: {}".format(', '.join(kwargs.keys())))
super(BaseEncoder, s... | [
"from torch import nn\nfrom abc import ABCMeta, abstractmethod\n\nclass BaseEncoder(nn.Module):\n __metaclass__ = ABCMeta\n\n def __init__(self, **kwargs):\n if len(kwargs) > 0:\n raise RuntimeError(\n \"Unrecognized options: {}\".format(', '.join(kwargs.keys())))\n sup... | false |
9,952 | 63bc191a81a200d3c257de429c082cc8d13c98f4 |
"""
Registers $v0 and $v1 are used to return values from functions.
Registers $t0 – $t9 are caller-saved registers that are used to
hold temporary quantities that need not be preserved across calls
Registers $s0 – $s7 (16–23) are callee-saved registers that hold long-lived
values that should be preserved across calls.... | [
"\n\"\"\"\nRegisters $v0 and $v1 are used to return values from functions.\nRegisters $t0 – $t9 are caller-saved registers that are used to\nhold temporary quantities that need not be preserved across calls\nRegisters $s0 – $s7 (16–23) are callee-saved registers that hold long-lived\nvalues that should be preserved... | false |
9,953 | 911257bad3baab89e29db3facb08ec41269b41e3 | # mathematical operators
'''
* multiply
/ divide (normal)
// divide (integer)
% modulus (remainder)
+ add
- subtract
** exponent (raise to)
'''
print(2 * 3)
# comparison operators
'''
== equal to
!= not equal to
> greater than
< less than
>= greater or equal to
<= less or equal t... | [
"# mathematical operators\n'''\n* multiply\n/ divide (normal)\n// divide (integer)\n% modulus (remainder)\n+ add\n- subtract\n** exponent (raise to)\n'''\nprint(2 * 3)\n# comparison operators\n'''\n== equal to\n!= not equal to\n> greater than\n< less than\n>= greater or equal to... | false |
9,954 | 74bb511a9ec272020693db65a2e708f3db56931e | #!/usr/bin/env python3
from nmigen import *
from nmigen.build import *
from nmigen_boards.icebreaker import ICEBreakerPlatform
class SSDigitDecoder(Elaboratable):
def __init__(self):
self.i_num = Signal(4)
self.o_disp = Signal(7)
self.lut = {
0: 0b011_1111,
1: 0b000... | [
"#!/usr/bin/env python3\n\nfrom nmigen import *\nfrom nmigen.build import *\nfrom nmigen_boards.icebreaker import ICEBreakerPlatform\n\nclass SSDigitDecoder(Elaboratable):\n def __init__(self):\n self.i_num = Signal(4)\n self.o_disp = Signal(7)\n self.lut = {\n 0: 0b011_1111,\n ... | false |
9,955 | 5509880c30c2e03ca6eb42ad32018c39fb5939ed | """Integration to integrate Keymitt BLE devices with Home Assistant."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any
from microbot import MicroBotApiClient, parse_advertisement_data
from homeassistant.components import bluetooth
from homeassistant.components.bluetooth.passi... | [
"\"\"\"Integration to integrate Keymitt BLE devices with Home Assistant.\"\"\"\nfrom __future__ import annotations\n\nimport logging\nfrom typing import TYPE_CHECKING, Any\n\nfrom microbot import MicroBotApiClient, parse_advertisement_data\n\nfrom homeassistant.components import bluetooth\nfrom homeassistant.compon... | false |
9,956 | da903409d75ba2a07443317e30bce568444fbca5 | n=int(input())
A=list(map(int,input().split()))
g=1000
for s1,s2 in zip(A[:-1],A[1:]):
if s1<s2:
stockNum=g//s1
g+=stockNum*(s2-s1)
print(g)
| [
"n=int(input())\nA=list(map(int,input().split()))\n\ng=1000\n\nfor s1,s2 in zip(A[:-1],A[1:]):\n if s1<s2:\n stockNum=g//s1\n g+=stockNum*(s2-s1)\n\nprint(g)\n\n",
"n = int(input())\nA = list(map(int, input().split()))\ng = 1000\nfor s1, s2 in zip(A[:-1], A[1:]):\n if s1 < s2:\n stockNu... | false |
9,957 | 11feb13f38f2484c867a8b3fa525ffecf419dfe5 | '''
Classes
'''
class Person:
alive = True
'''
Possible Attributes for a Person:
1. Name
2. Age
3. Gender
'''
def __init__(self, name, age, gender):
self.name = name
self.age = age
self.gender = gender
self.salary = 0
def greet(self):
... | [
"'''\n\nClasses\n\n'''\n\n\nclass Person:\n alive = True\n\n '''\n\n Possible Attributes for a Person:\n\n 1. Name\n 2. Age\n 3. Gender\n\n '''\n\n def __init__(self, name, age, gender):\n self.name = name\n self.age = age\n self.gender = gender\n self.salary = 0\... | false |
9,958 | 921c7255fad46c767f2ec1030ef9498da05b9bb1 | # ethermine.py, Copyright (c) 2019, Nicholas Saparoff <nick.saparoff@gmail.com>: Original implementation
from minermedic.pools.base_pool import BasePool
from phenome_core.util.rest_api import RestAPI
from minermedic.pools.helper import get_algo_index, get_coin_index, get_coin_cost
"""
EtherminePool
This is the ... | [
"# ethermine.py, Copyright (c) 2019, Nicholas Saparoff <nick.saparoff@gmail.com>: Original implementation\n\nfrom minermedic.pools.base_pool import BasePool\nfrom phenome_core.util.rest_api import RestAPI\nfrom minermedic.pools.helper import get_algo_index, get_coin_index, get_coin_cost\n\n\"\"\"\n\nEtherminePool\n... | false |
9,959 | 547d67bce7eb05e55e02c73a22342ca572e89f39 | import os
import log
import core
import time
__description__ = 'OS X Auditor'
__author__ = 'Atarimaster & @Jipe_'
__version__ = '0.5.0'
ROOT_PATH = '/'
Euid = str(os.geteuid())
Egid = str(os.getegid())
def generate_header():
header = {}
# Description(Audited By)
description = "Report generated by " + _... | [
"import os\nimport log\nimport core\nimport time\n\n__description__ = 'OS X Auditor'\n__author__ = 'Atarimaster & @Jipe_'\n__version__ = '0.5.0'\n\nROOT_PATH = '/'\n\nEuid = str(os.geteuid())\nEgid = str(os.getegid())\n\ndef generate_header():\n header = {}\n\n # Description(Audited By)\n description = \"R... | false |
9,960 | 97611fef5faafe660c7640e4a5aec8456e52135c | '''
Created on 17.05.2018
@author: markus
'''
import Ship
import Player
import Planet
import random
from FighterShip import FighterShip
turnCounter = 0
def cleanScreen():
for i in range(0,50):
print("")
def spacePirates(player):#space prites attack, their firepower is +/-20% of player firepower
... | [
"'''\nCreated on 17.05.2018\n\n@author: markus\n'''\nimport Ship\nimport Player\nimport Planet\nimport random\nfrom FighterShip import FighterShip\n\nturnCounter = 0\n\ndef cleanScreen():\n for i in range(0,50):\n print(\"\")\n \ndef spacePirates(player):#space prites attack, their firepower is +/-... | false |
9,961 | 6b24c438ca7bb4c37ae356c18c562831767f0569 | class Robot:
def __init__(self, name):
self.name = name
def say_hi(self):
print("Hi, I'm from class Robot")
print("Hi, Ich bin " + self.name)
def say_hi_to_everybody(self):
print("Hi to all objects :-)")
class PhysicianRobot(Robot):
def say_hi_again(self):
pr... | [
"class Robot:\n\n def __init__(self, name):\n self.name = name\n\n def say_hi(self):\n print(\"Hi, I'm from class Robot\")\n print(\"Hi, Ich bin \" + self.name)\n\n def say_hi_to_everybody(self):\n print(\"Hi to all objects :-)\")\n\n\nclass PhysicianRobot(Robot):\n def say_h... | false |
9,962 | 87a1624707e4a113a35d975518e432277c851e41 | #' % Computational Biology Lab 3
#' % Alois Klink
#' % 18 May 2017
#' # Converting Reaction Equations to a ODE
#' To convert many reaction equations to one ODE, one must first find the propensity
#' and the changes of each reaction.
#' The Reaction class takes a lambda function of the propensity and the change matri... | [
"#' % Computational Biology Lab 3\n#' % Alois Klink\n#' % 18 May 2017\n\n#' # Converting Reaction Equations to a ODE\n\n#' To convert many reaction equations to one ODE, one must first find the propensity\n#' and the changes of each reaction.\n\n#' The Reaction class takes a lambda function of the propensity and th... | false |
9,963 | eb17de8828a600832253c4cfeeb91503b6876dd7 | import os
from flask import Flask, request, redirect, url_for, render_template, send_from_directory
from werkzeug.utils import secure_filename
import chardet as chardet
import pandas as pd
UPLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/uploads/'
DOWNLOAD_FOLDER = os.path.dirname(os.path.abspath(__file_... | [
"import os\nfrom flask import Flask, request, redirect, url_for, render_template, send_from_directory\nfrom werkzeug.utils import secure_filename\nimport chardet as chardet\nimport pandas as pd\n\nUPLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/uploads/'\nDOWNLOAD_FOLDER = os.path.dirname(os.path.abs... | false |
9,964 | 466148395a4141793b5f92c84513fd093876db76 | #--------------------------------------------------------
# File------------project2.py
# Developer-------Paige Weber
# Course----------CS1213-03
# Project---------Project #1
# Due-------------September 26, 2017
#
# This program uses Gregory-Leibniz series to compute
# an approximate value of pi.
#---------------------... | [
"#--------------------------------------------------------\n# File------------project2.py\n# Developer-------Paige Weber\n# Course----------CS1213-03\n# Project---------Project #1\n# Due-------------September 26, 2017\n#\n# This program uses Gregory-Leibniz series to compute\n# an approximate value of pi.\n#-------... | false |
9,965 | 5f237a820832181395de845cc25b661878c334e4 | final=[]
refer={2:'abc',3:'def',4:'ghi',5:'jkl',6:'mno',7:'pqrs',8:'tuv',9:'wxyz'}
##Complete this function
def possibleWords(a,N,index=0,s=''):
##Your code here
if index==N:
final.append(s)
print(s, end=' ')
return
possible_chars=refer[a[0]]
for i in possible_chars:
... | [
"final=[]\nrefer={2:'abc',3:'def',4:'ghi',5:'jkl',6:'mno',7:'pqrs',8:'tuv',9:'wxyz'}\n##Complete this function\ndef possibleWords(a,N,index=0,s=''):\n ##Your code here\n \n if index==N:\n final.append(s)\n print(s, end=' ')\n return\n \n possible_chars=refer[a[0]]\n for i in p... | false |
9,966 | c6113088f45951bc4c787760b6ca0138265fb83f | import requests
from os.path import join, exists
import os
import fitz
from tqdm import tqdm
from pathlib import Path
import tempfile
def download_pdf(url, folder, name):
r = requests.get(url, allow_redirects=True)
file_path = join(folder, name + ".pdf")
open(file_path, 'wb').write(r.content)
return f... | [
"import requests\nfrom os.path import join, exists\nimport os\nimport fitz\nfrom tqdm import tqdm\nfrom pathlib import Path\nimport tempfile\n\n\ndef download_pdf(url, folder, name):\n r = requests.get(url, allow_redirects=True)\n file_path = join(folder, name + \".pdf\")\n open(file_path, 'wb').write(r.co... | false |
9,967 | f20e2227821c43de17c116d8c11233eda53ab631 | import os
import logging
from flask import Flask
from flask_orator import Orator
from flask_jwt_extended import JWTManager
from dotenv import load_dotenv
load_dotenv(verbose=True)
app = Flask(__name__)
app.secret_key = os.getenv('SECRET_KEY')
app.config['JSON_SORT_KEYS'] = False
app.config['ORATOR_DATABASES'] = {
... | [
"import os\nimport logging\nfrom flask import Flask\nfrom flask_orator import Orator\nfrom flask_jwt_extended import JWTManager\nfrom dotenv import load_dotenv\n\n\nload_dotenv(verbose=True)\n\napp = Flask(__name__)\napp.secret_key = os.getenv('SECRET_KEY')\napp.config['JSON_SORT_KEYS'] = False\napp.config['ORATOR_... | false |
9,968 | beccae96b3b2c9dcd61bb538d07b85441a73662e | number = int(input("entrez un entier:"))
exposant = int(input("entrez un exposant:"))
def puissance(x, n):
if n == 0:
return 1
else:
return x * puissance(x, n-1)
print(puissance(number, exposant))
| [
"number = int(input(\"entrez un entier:\"))\nexposant = int(input(\"entrez un exposant:\"))\n\ndef puissance(x, n):\n if n == 0:\n return 1\n else:\n return x * puissance(x, n-1)\n\n\nprint(puissance(number, exposant))\n",
"number = int(input('entrez un entier:'))\nexposant = int(input('entrez... | false |
9,969 | fc1b9ab1fb1ae71d70b3bf5c879a5f604ddef997 | import random
import sys
import math
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten, Conv2D, Activation
from snake_game import Snake
from snake_game import Fruit
import pygame
from pygame.locals import *
# Neural Network glo... | [
"import random\nimport sys\nimport math\nimport numpy as np\nimport tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Flatten, Conv2D, Activation\n\nfrom snake_game import Snake\nfrom snake_game import Fruit\nimport pygame\nfrom pygame.locals import *\n\n# ... | false |
9,970 | e0f7837731520ad76ca91d78c20327d1d9bb6d4f | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on 2021.03.18
setup for package.
@author: zoharslong
"""
from setuptools import setup, find_packages
from os.path import join as os_join, abspath as os_abspath, dirname as os_dirname
here = os_abspath(os_dirname(__file__))
with open(os_join(here, 'README.md')) ... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on 2021.03.18\nsetup for package.\n@author: zoharslong\n\"\"\"\nfrom setuptools import setup, find_packages\nfrom os.path import join as os_join, abspath as os_abspath, dirname as os_dirname\n\nhere = os_abspath(os_dirname(__file__))\nwith open(os_joi... | false |
9,971 | 3c8e6a93c4d5616b9199cf473d298bfa2dc191af | import json
import os
import time
import urllib.request
import pandas as pd
from lib.db.dbutils import (
check_blacklisted,
check_ticker_exists,
get_db,
update_blacklisted,
)
def get_data(url, delay=20):
while True:
df = json.loads(urllib.request.urlopen(url).read())
if df.get("N... | [
"import json\nimport os\nimport time\nimport urllib.request\n\nimport pandas as pd\n\nfrom lib.db.dbutils import (\n check_blacklisted,\n check_ticker_exists,\n get_db,\n update_blacklisted,\n)\n\n\ndef get_data(url, delay=20):\n while True:\n df = json.loads(urllib.request.urlopen(url).read()... | false |
9,972 | 13b2fea09f5a4300563dd8870fe1841b47756b36 | import pytest
from pandas import (
Index,
NaT,
)
import pandas._testing as tm
def test_astype_str_from_bytes():
# https://github.com/pandas-dev/pandas/issues/38607
idx = Index(["あ", b"a"], dtype="object")
result = idx.astype(str)
expected = Index(["あ", "a"], dtype="object")
tm.assert_inde... | [
"import pytest\n\nfrom pandas import (\n Index,\n NaT,\n)\nimport pandas._testing as tm\n\n\ndef test_astype_str_from_bytes():\n # https://github.com/pandas-dev/pandas/issues/38607\n idx = Index([\"あ\", b\"a\"], dtype=\"object\")\n result = idx.astype(str)\n expected = Index([\"あ\", \"a\"], dtype=... | false |
9,973 | 1ad694c68ef264c6fbba4f4b9c069f22818d2816 | # Dependencies
import pandas as pd
# Load in data file from resources
bank_data = "Resources/budget_data.csv"
# Read and display with pandas
bank_df = pd.read_csv(bank_data)
# Find the total number of months included in the dataset
total_months = bank_df["Date"].count()
# Find the total net amount of "Profit/Losses... | [
"# Dependencies\nimport pandas as pd\n\n# Load in data file from resources\nbank_data = \"Resources/budget_data.csv\"\n\n# Read and display with pandas\nbank_df = pd.read_csv(bank_data)\n\n# Find the total number of months included in the dataset\ntotal_months = bank_df[\"Date\"].count()\n\n# Find the total net amo... | false |
9,974 | 05ca16303d0eb962249793164ac91795c45cc3c2 | from flask import Flask, render_template, request, url_for, redirect,jsonify,json,request
from pymongo import MongoClient
#conexão bd
app = Flask(__name__)
conexao = MongoClient('localhost',27017)
db = conexao['teste_db']
#inserindo contatos iniciais
contato1 = {'nome': 'Lucas', 'email': 'lucas@gmail.com', 'telefone... | [
"from flask import Flask, render_template, request, url_for, redirect,jsonify,json,request\n\nfrom pymongo import MongoClient\n\n#conexão bd\napp = Flask(__name__)\nconexao = MongoClient('localhost',27017)\ndb = conexao['teste_db']\n\n#inserindo contatos iniciais\ncontato1 = {'nome': 'Lucas', 'email': 'lucas@gmail.... | false |
9,975 | 668b63d1f1bd035226e3e12bc6816abc897affc3 | # Planet Class
from turtle import *
class Planet:
def __init__(self, x, y, radius):
self.radius = radius
self.x = x
self.y = y
canvas = Screen()
canvas.setup(800, 800)
self.turtle = Turtle()
def circumference(self):
return 2*3.1415*self.radius... | [
"# Planet Class\r\nfrom turtle import *\r\nclass Planet:\r\n def __init__(self, x, y, radius):\r\n self.radius = radius\r\n self.x = x\r\n self.y = y\r\n canvas = Screen()\r\n canvas.setup(800, 800)\r\n self.turtle = Turtle()\r\n\r\n def circumference(self):\r\n ... | false |
9,976 | e4a2c605ef063eee46880515dfff05562916ab81 | # Problem No.: 77
# Solver: Jinmin Goh
# Date: 20191230
# URL: https://leetcode.com/problems/combinations/
import sys
class Solution:
def combine(self, n: int, k: int) -> List[List[int]]:
if k == 0:
return [[]]
ans = []
for i in range(k, n + 1) :
for tem... | [
"# Problem No.: 77\n# Solver: Jinmin Goh\n# Date: 20191230\n# URL: https://leetcode.com/problems/combinations/\n\nimport sys\n\nclass Solution:\n def combine(self, n: int, k: int) -> List[List[int]]:\n if k == 0:\n return [[]]\n ans = []\n for i in range(k, n + 1) :\n ... | false |
9,977 | d0a053faccecddc84a9556aec3dff691b171df96 | # Generated by Django 3.2.7 on 2021-10-01 06:43
from django.db import migrations
import django_resized.forms
import event.models.event
import event.models.event_agenda
class Migration(migrations.Migration):
dependencies = [
('event', '0009_auto_20211001_0406'),
]
operations = [
migratio... | [
"# Generated by Django 3.2.7 on 2021-10-01 06:43\n\nfrom django.db import migrations\nimport django_resized.forms\nimport event.models.event\nimport event.models.event_agenda\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('event', '0009_auto_20211001_0406'),\n ]\n\n operations =... | false |
9,978 | 8a412231c13df1b364b6e2a27549730d06048186 | """Test the various means of instantiating and invoking filters."""
import types
import test
test.prefer_parent_path()
import cherrypy
from cherrypy import filters
from cherrypy.filters.basefilter import BaseFilter
class AccessFilter(BaseFilter):
def before_request_body(self):
if not cherrypy.confi... | [
"\"\"\"Test the various means of instantiating and invoking filters.\"\"\"\n\nimport types\nimport test\ntest.prefer_parent_path()\n\nimport cherrypy\nfrom cherrypy import filters\nfrom cherrypy.filters.basefilter import BaseFilter\n\n\nclass AccessFilter(BaseFilter):\n \n def before_request_body(self):\n ... | false |
9,979 | acad268a228b544d60966a8767734cbf9c1237ac | import veil_component
with veil_component.init_component(__name__):
from .material import list_category_materials
from .material import list_material_categories
from .material import list_issue_materials
from .material import list_issue_task_materials
from .material import get_material_image_url
... | [
"import veil_component\n\nwith veil_component.init_component(__name__):\n\n from .material import list_category_materials\n from .material import list_material_categories\n from .material import list_issue_materials\n from .material import list_issue_task_materials\n from .material import get_materia... | false |
9,980 | f64138ee5a64f09deb72b47b86bd7795acddad4d | #!/usr/bin/env python 3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2020 PanXu, Inc. All Rights Reserved
#
"""
测试 label index decoder
Authors: PanXu
Date: 2020/07/05 15:10:00
"""
import pytest
import torch
from easytext.tests import ASSERT
from easytext.data import LabelVocabulary
from easytext.modules import Cond... | [
"#!/usr/bin/env python 3\n# -*- coding: utf-8 -*-\n\n#\n# Copyright (c) 2020 PanXu, Inc. All Rights Reserved\n#\n\"\"\"\n测试 label index decoder\n\nAuthors: PanXu\nDate: 2020/07/05 15:10:00\n\"\"\"\nimport pytest\nimport torch\n\nfrom easytext.tests import ASSERT\n\nfrom easytext.data import LabelVocabulary\nfrom... | false |
9,981 | c4bd55be86c1f55d89dfcbba2ccde4f3b132edcb | import re
import z3
digit_search = re.compile('\-?\d+')
def get_sensor_beacon(data_in):
sensors = {}
beacons = set()
for line in data_in:
s_x, s_y, b_x, b_y = list(map(int, digit_search.findall(line)))
sensors[(s_x, s_y)] = abs(s_x - b_x) + abs(s_y - b_y)
beacons.add((b_x, b_y))
... | [
"import re\nimport z3\ndigit_search = re.compile('\\-?\\d+')\n\ndef get_sensor_beacon(data_in):\n sensors = {}\n beacons = set()\n for line in data_in:\n s_x, s_y, b_x, b_y = list(map(int, digit_search.findall(line)))\n sensors[(s_x, s_y)] = abs(s_x - b_x) + abs(s_y - b_y)\n beacons.ad... | false |
9,982 | f6ebc3c37a69e5ec49d91609db394eec4a94cedf | #!/usr/bin/env pybricks-micropython
from pybricks import ev3brick as brick
from pybricks.ev3devices import (Motor, TouchSensor, ColorSensor,
InfraredSensor, UltrasonicSensor, GyroSensor)
from pybricks.parameters import (Port, Stop, Direction, Button, Color,
... | [
"#!/usr/bin/env pybricks-micropython\n\nfrom pybricks import ev3brick as brick\nfrom pybricks.ev3devices import (Motor, TouchSensor, ColorSensor,\n InfraredSensor, UltrasonicSensor, GyroSensor)\nfrom pybricks.parameters import (Port, Stop, Direction, Button, Color,\n ... | false |
9,983 | 7e35c35c8ef443155c45bdbff4ce9ad07b99f144 | from django.urls import path
from . import views
from django.contrib.auth import views as auth_views
urlpatterns = [
path('',views.index,name='index'),
path('sign',views.sign,name='sign'),
# path('password_reset/',auth_views.PasswordResetView.as_view(),name='password_reset'),
# path('password_reset/do... | [
"from django.urls import path\nfrom . import views\nfrom django.contrib.auth import views as auth_views \n\nurlpatterns = [\n path('',views.index,name='index'),\n path('sign',views.sign,name='sign'),\n # path('password_reset/',auth_views.PasswordResetView.as_view(),name='password_reset'),\n # path('pass... | false |
9,984 | 119ebdf4c686c52e052d3926f962cefdc93681cd | def my_filter(L, num):
return [x for x in L if x % num]
print 'my_filter', my_filter([1, 2, 4, 5, 7], 2)
def my_lists(L):
return [range(1, x+1) for x in L]
print 'my_lists', my_lists([1, 2, 4])
print 'my_lists', my_lists([0])
def my_function_composition(f, g):
return {f_key: g[f_val] for f_key, f_val in f.item... | [
"def my_filter(L, num):\n\treturn [x for x in L if x % num]\n\nprint 'my_filter', my_filter([1, 2, 4, 5, 7], 2)\n\n\ndef my_lists(L):\n\treturn [range(1, x+1) for x in L]\n\nprint 'my_lists', my_lists([1, 2, 4])\nprint 'my_lists', my_lists([0])\n\n\ndef my_function_composition(f, g):\n\treturn {f_key: g[f_val] for ... | true |
9,985 | f229f525c610d9925c9300ef22208f9926d6cb69 | #!python3
import requests
import time
log_file = open("logfile.txt", "w")
def generateLog(ctime1, request_obj):
log_file.write(ctime1 + "\t")
log_file.write("Status code: " + str(request_obj.status_code))
log_file.write("\n")
def is_internet():
"""Internet function"""
print(time.... | [
"#!python3\r\nimport requests\r\nimport time\r\n\r\nlog_file = open(\"logfile.txt\", \"w\")\r\n\r\n\r\ndef generateLog(ctime1, request_obj):\r\n log_file.write(ctime1 + \"\\t\")\r\n log_file.write(\"Status code: \" + str(request_obj.status_code))\r\n log_file.write(\"\\n\")\r\n\r\n\r\ndef is_internet():\r\... | false |
9,986 | 5a7e535f2ae585f862cc792dab77f2fe0584fddc | import unittest
from pattern.multiplier import Multiplier, FixedWidth, Range
from pattern.multiplier import WHATEVER, ONE_OR_MORE
class TestMultipler(unittest.TestCase):
def test__create__fixed_width(self):
self.assertIsInstance(Multiplier.create(23), FixedWidth)
def test__create__range(self):
... | [
"import unittest\nfrom pattern.multiplier import Multiplier, FixedWidth, Range\nfrom pattern.multiplier import WHATEVER, ONE_OR_MORE\n\n\nclass TestMultipler(unittest.TestCase):\n def test__create__fixed_width(self):\n self.assertIsInstance(Multiplier.create(23), FixedWidth)\n\n def test__create__range... | false |
9,987 | 4f06eddfac38574a0ae3bdd0ea2ac81291380166 | from .simulator import SpatialSIRSimulator as Simulator
from .util import Prior
from .util import PriorExperiment
from .util import Truth
from .util import log_likelihood
| [
"from .simulator import SpatialSIRSimulator as Simulator\nfrom .util import Prior\nfrom .util import PriorExperiment\nfrom .util import Truth\nfrom .util import log_likelihood\n",
"<import token>\n"
] | false |
9,988 | 2d7f7cb66480ecb8335949687854554679026959 | import spacy
from vaderSentiment import vaderSentiment
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def hello():
return render_template('index.html')
@app.route('/',methods=['POST'])
def func():
st=request.form["review"]
if(st==''):
return render_temp... | [
"import spacy\nfrom vaderSentiment import vaderSentiment\nfrom flask import Flask, render_template, request\napp = Flask(__name__)\n\n@app.route('/')\ndef hello():\n return render_template('index.html')\n \n@app.route('/',methods=['POST'])\ndef func():\n st=request.form[\"review\"]\n if(st==''):\n ... | false |
9,989 | c513ad6ef12ae7be5d17d8d44787691cbc065207 | class Violation(object):
def __init__(self, line, column, code, message):
self.line = line
self.column = column
self.code = code
self.message = message
def __str__(self):
return self.message
def __repr__(self):
return 'Violation(line={}, column={}, code="{}"... | [
"class Violation(object):\n def __init__(self, line, column, code, message):\n self.line = line\n self.column = column\n self.code = code\n self.message = message\n\n def __str__(self):\n return self.message\n\n def __repr__(self):\n return 'Violation(line={}, colu... | false |
9,990 | 382bc321c5fd35682bc735ca4d6e293d09be64ec | #função: Definir se o número inserido é ímpar ou par
#autor: João Cândido
p = 0
i = 0
numero = int(input("Insira um número: "))
if numero % 2 == 0:
p = numero
print (p, "é um número par")
else:
i = numero
print (i, "é um número ímpar") | [
"#função: Definir se o número inserido é ímpar ou par\n#autor: João Cândido\n\np = 0\ni = 0\n\nnumero = int(input(\"Insira um número: \"))\n\nif numero % 2 == 0:\n\tp = numero\n\tprint (p, \"é um número par\")\nelse:\n\ti = numero\n\tprint (i, \"é um número ímpar\")",
"p = 0\ni = 0\nnumero = int(input('Insira um ... | false |
9,991 | 8339113fd6b0c286cc48ec04e6e24978e2a4b44e | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'KPS_RevisitBusinessEvents.ui'
#
# Created: Sun May 18 14:50:49 2014
# by: PyQt4 UI code generator 4.10.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui, QtSql
import sqlite3
try:
_fromUtf... | [
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'KPS_RevisitBusinessEvents.ui'\n#\n# Created: Sun May 18 14:50:49 2014\n# by: PyQt4 UI code generator 4.10.4\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt4 import QtCore, QtGui, QtSql\nimport sqlite3\n\n\... | false |
9,992 | 2193c97b7f1fcf204007c2528ecc47cbf3c67e81 | import torch
import numpy as np
import cv2
import torchvision
from PIL import Image
def people_on_image(path_to_image):
color_map = [
(255, 255, 255), # background
(255, 255, 255), # aeroplane
(255, 255, 255), # bicycle
(255, 255, 255), ... | [
"import torch\r\nimport numpy as np\r\nimport cv2\r\nimport torchvision\r\nfrom PIL import Image\r\n\r\n\r\n\r\ndef people_on_image(path_to_image):\r\n\r\n color_map = [\r\n (255, 255, 255), # background\r\n (255, 255, 255), # aeroplane\r\n (255, 255, 255), # bicycle\r\... | false |
9,993 | ff137b51ea5b8c21e335a38a3d307a3302921245 |
class Node:
def __init__(self,data):
self.data = data
self.next = None
def Add(Head,data):
Temp = Head
while(Temp.next != None):
Temp = Temp.next
Temp.next = Node(data)
# print(Temp.data)
def create(data):
Head = Node(data)
return Head
def printLL(Head):
Temp ... | [
"\nclass Node:\n def __init__(self,data):\n self.data = data\n self.next = None\n\ndef Add(Head,data):\n Temp = Head\n while(Temp.next != None):\n Temp = Temp.next\n Temp.next = Node(data)\n # print(Temp.data)\n\ndef create(data):\n Head = Node(data)\n return Head\n\ndef pr... | false |
9,994 | 0ac14b023c51bfd1cf99bd2d991baa30a671e066 | # _*_ coding: utf-8 _*_
from service import service_logger
from service.TaskService import TaskService
class ApiException(Exception):
def __init__(self, message, code=400, data=None):
Exception.__init__(self, message)
self.code = code
self.msg = message
self.data = data... | [
"# _*_ coding: utf-8 _*_\r\nfrom service import service_logger\r\nfrom service.TaskService import TaskService\r\n\r\nclass ApiException(Exception):\r\n\r\n def __init__(self, message, code=400, data=None):\r\n Exception.__init__(self, message)\r\n\r\n self.code = code\r\n self.msg = message\... | false |
9,995 | aafdd228cf2859d7f013b088263eab544e19c481 | import pymongo
from FlaskScripts.database.user_database import user
from FlaskScripts.database.blog_database import blog
myclient = {}
try:
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
myclient.server_info()
print('Database Connected')
except:
print('Database Error')
mydb = myclient["jm... | [
"import pymongo\nfrom FlaskScripts.database.user_database import user\nfrom FlaskScripts.database.blog_database import blog\nmyclient = {}\ntry:\n myclient = pymongo.MongoClient(\"mongodb://localhost:27017/\")\n myclient.server_info()\n print('Database Connected')\nexcept:\n print('Database Error')\n\nm... | false |
9,996 | c312bf096c7f4aaf9269a8885ff254fd4852cfe0 | from mock import Mock
from shelf.hook.background import action
from shelf.hook.event import Event
from tests.test_base import TestBase
import json
import os
import logging
from pyproctor import MonkeyPatcher
class ExecuteCommandTest(TestBase):
def setUp(self):
super(ExecuteCommandTest, self).setUp()
... | [
"from mock import Mock\nfrom shelf.hook.background import action\nfrom shelf.hook.event import Event\nfrom tests.test_base import TestBase\nimport json\nimport os\nimport logging\nfrom pyproctor import MonkeyPatcher\n\n\nclass ExecuteCommandTest(TestBase):\n\n def setUp(self):\n super(ExecuteCommandTest, ... | false |
9,997 | 25288a6dd0552d59f8c305bb8edbbbed5d464d5b | # Copyright (C) 2011 Ruckus Wireless, Inc. All rights reserved.
# Please make sure the following module docstring is accurate since it will be used in report generation.
"""
Description:
@author: Chris Wang
@contact: cwang@ruckuswireless.com
@since: Aug-09, 2010
Prerequisite (Assumptions about the sta... | [
"# Copyright (C) 2011 Ruckus Wireless, Inc. All rights reserved.\n# Please make sure the following module docstring is accurate since it will be used in report generation.\n\n\"\"\"\n Description: \n @author: Chris Wang\n @contact: cwang@ruckuswireless.com\n @since: Aug-09, 2010\n\n Prerequisite (Assumpti... | true |
9,998 | 0f0ded26e115b954a5ef698b03271ddf2b947334 | '''
PROBLEM N. 5:
2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.
What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?
'''
'''
Greatest common divisior using the Euclidean Algorithm, vide http://en.wikipedia.org/wi... | [
"'''\nPROBLEM N. 5:\n2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.\n\nWhat is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?\n'''\n\n'''\nGreatest common divisior using the Euclidean Algorithm, vide http://en.wik... | true |
9,999 | ac2e9145e3345e5448683d684b69d2356e3214ce | from collections import defaultdict
# The order of the steps doesn't matter, so the distance
# function is very simple
def dist(counts):
n = abs(counts["n"] - counts["s"])
nw = abs(counts["nw"] - counts["se"])
ne = abs(counts["ne"] - counts["sw"])
return n + max(ne,nw)
if __name__ == "__main__":
c... | [
"from collections import defaultdict\n\n# The order of the steps doesn't matter, so the distance\n# function is very simple\ndef dist(counts):\n n = abs(counts[\"n\"] - counts[\"s\"])\n nw = abs(counts[\"nw\"] - counts[\"se\"])\n ne = abs(counts[\"ne\"] - counts[\"sw\"])\n return n + max(ne,nw)\n\nif __... | false |
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