content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
a = int(input("Enter a number: "))
b = int(input("Enter another number: "))
a = a+b
b = a-b
a = a-b
print(a)
print(b)
| [
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1... | 2.015873 | 63 |
import numpy as np
from sklearn.ensemble import AdaBoostRegressor
from sklearn.tree import DecisionTreeRegressor
from sklearn import datasets
from sklearn.metrics import mean_squared_error, explained_variance_score
from sklearn.utils import shuffle
import matplotlib.pyplot as plt
if __name__ == '__main__':
# Loa... | [
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... | 2.71123 | 748 |
# Answer to exercise 3 in chapter 20
#
# Exercise from: A Common-Sense Guide to Data Structures and Algorithms
# Level Up Your Core Programming Skills
# by Jay Wengrow and edited by Brian MacDonald
import sys
def greatest_profit(array: list):
"""given array return the maximum profit from one buy and sell
the fo... | [
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#!/usr/bin/python3
#filename:pickling.py
#import cPickle as p
import pickle as p
shoplistfile=r'e:\test\shoplist.data'
#the name of the file where we will store the object
shoplist=['apple','-mango','-carrot']
#Write to the file
fp=open(shoplistfile,'w')
#p.dump(shoplist,fp) #dump the object to a file
p.dump(shopl... | [
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#!/pxrpythonsubst
#
# Copyright 2016 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
... | [
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... | 2.848084 | 1,435 |
# Test for the 'why do the frickin HTTPS certs not work?' issue.
# See /etc/pki/tls/certs/how_to_add_a_cert.txt
# Ok, so the default bundle is given by certifi:
# python3 -m certifi
# But this bundle does not have the cert I need for RT??
# The package is up-to-date. Well, I guess I need to keep manually overriding t... | [
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1... | 2.796813 | 251 |
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
# from lib import timed
# from lib import pytorch_knn_cuda
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function fp=der(a,x,h)
% Calculates the derivate of a function numerically based
% on the 5-pt Stencil
% (c) 2011 Phillip Servio
fp=(-feval(a,x+2*h)+8*feval(a,x+h)-8*feval(a,x-h)...
+feval(a,x-2*h))/(12*h);
end
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... | 2.047619 | 105 |
HTTP_REQUEST_ERROR = {
"400": "Bad Request! 请求参数错误,请检查参数是否出现错误。",
"401": "Unauthorized! 当前请求的用户需要验证，请检查是否包含响应相同的身份验证，如果已经包含，则服务器已经拒绝了这些证书。",
"403": "Forbidden! 服务器拒绝请求",
"404": "Not Found! 请求失败，页面不可用，资源找不到！",
"405": "Method Not Allowed! 方法不允许，请检查使用请求方法!",
}
HTTP_REQUEST_SUCC = {
"200... | [
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... | 0.905312 | 433 |
#!/usr/bin/env python
#import lwipv6 #TODO doesn't even exist just yet
#from ctypes import * #TODO only import stuff used
from _pycolwipv6 import ffi
from _pycolwipv6 import lib as lwipv6
from adapter import Adapter
import os
#class IP_ADDR(Structure):
# _fields = [("addr", c_uint32 * 4)]
#class lwip_stack(Struc... | [
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from abc import ABC
from game.moves import MovementDirections
from dataclasses import dataclass
from events import Events
from game.rules import MovementRule
from game.moves import PlayerMovement
from forseti.engine import CheatEngine, CheatEngineConfig
from forseti.vote import Vote
class Cheater(Player):... | [
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20... | 3.161017 | 118 |
import os
try:
os.rename("teste.txt","teste.renomeado.txt")
print("Arquivo renomeado!")
except FileNotFoundError as erro:
print("Arquivo inexistente")
print("Descrição", erro)
except PermissionError as erro:
print("Sem permissão para acessar o arquivo")
print("Descrição", erro)
except FileExist... | [
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... | 2.45 | 180 |
import tensorflow as tf
| [
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] | 3.428571 | 7 |
"""
discord.types
~~~~~~~~~~~~~~
Typings for the Discord API
:copyright: (c) 2015-2021 Rapptz & (c) 2021-present Pycord Development
:license: MIT, see LICENSE for more details.
"""
| [
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import os
import pytest
import ucp
| [
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] | 2.8 | 15 |
from django.conf import settings
from apiv1.serializers import CurrencySerializer
from moneyed.localization import format_money
from money import Money as Convert
from moneyed import Money
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163... | 4.222222 | 45 |
#!/usr/bin/env python2
import urllib2
import lxml.html
import csv
global url_list
global visited
global adjacency_lists
global depth_list
url_list = []
visited = []
adjacency_lists = {}
depth_list = []
if __name__ == '__main__':
find_all_links("https://www.cityofberkeley.info", 2)
f = open('../data/url_list.txt... | [
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from app import app
from flask import render_template, jsonify, flash
from utils import get_all_reminders, get_one_reminder, compress
@app.route('/')
@app.route('/r')
@app.route('/r/<int:id>')
@app.route('/dashboard') | [
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from flask import Blueprint
from flask import render_template, url_for, flash, redirect, request, abort
from swim_log import db
from swim_log.sessions.forms import LogSwim
from swim_log.models import Session
from flask_login import current_user, login_required
sessions = Blueprint('sessions', __name__)
@sessions.ro... | [
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... | 3.029557 | 203 |
from torch.autograd import Variable
import torch, os
from collections import Counter
from batch import Batch
from transformer import subsequentMask
def rebatch(padIdx, batch):
"fix order in torchtext to match ours"
src, trg=batch.src.transpose(0,1), batch.trg.transpose(0,1)
return Batch(src=src, trg=trg,... | [
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... | 2.929825 | 114 |
import chainer
import chainer.links as L
import chainer.functions as F
import argparse
import cv2
import numpy as np
from glob import glob
import matplotlib.pyplot as plt
num_classes = 2
img_height, img_width = 32, 32
out_height, out_width = 32, 32
channel = 3
GPU = -1
import pickle
import os
# train
# test... | [
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... | 2.505455 | 275 |
from typing import List, Tuple, Dict
import numpy as np
import tensorflow as tf
| [
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] | 2.806452 | 31 |
import numpy as np
__all__ = ['variation1', 'variation2', 'elastic_net']
| [
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from olo.libs.compiler.prelude_names import PL_TRANS_FUNC
from olo.libs.cache import LRUCache
from olo.debug import debug
code_cache = LRUCache(128)
| [
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198,
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267,
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1330,... | 2.655172 | 58 |
import torch
import torch.nn as nn
from torchvision import models
from models.cifar_class import DeepNet
from models.alexnet_truncated import alexnet_truncated
| [
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... | 3.215686 | 51 |
import stripe
class Subscription:
""" all stripe subscription methods """
def get_subscription_list(self):
""" subscription list all """
return stripe.Subscription.list()
def get_subscription(self, id: str):
""" get indivisual subscription detail """
return stripe.Subscri... | [
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1... | 2.973684 | 114 |
"""Constant for Plugwise component."""
DOMAIN = "plugwise"
SENSOR_PLATFORMS = ["sensor", "switch"]
PLATFORMS_GATEWAY = ["binary_sensor", "climate", "sensor", "switch"]
PW_TYPE = "plugwise_type"
GATEWAY = "gateway"
# Sensor mapping
SENSOR_MAP_DEVICE_CLASS = 2
SENSOR_MAP_ICON = 3
SENSOR_MAP_MODEL = 0
SENSOR_MAP_UOM = 1... | [
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62... | 2.231687 | 587 |
from django.conf import settings
from ledger.accounts.models import EmailUser, Address
from ledger.address.models import Country
from mooring.models import (MooringAreaPriceHistory,
MooringsiteClassPriceHistory,
Rate,
Moorin... | [
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... | 2.085069 | 2,833 |
from asyncio import TimeoutError
import os
from typing import Union
import aiohttp
from discord import Member, Embed, Role, Guild, PublicUserFlags, Webhook, AsyncWebhookAdapter, errors
from discord_slash import SlashContext, ContextMenuType, MenuContext
from discord_slash.cog_ext import (
cog_slash as slash_comman... | [
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11... | 3.424658 | 219 |
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: FBOutput
import tdw.flatbuffers
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11,
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2,
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86,
13,
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36873,
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201,
198
] | 3.457143 | 35 |
__author__ = 'Chetan'
s = Singleton() ## class initialized, but object not created
print("Object created", Singleton.getInstance()) ## Gets created here
s1 = Singleton() ## instance already created
| [
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import aiomysql
import asyncio
#from contextlib import asynccontextmanager
import os
from dotenv import load_dotenv
load_dotenv()
loop = asyncio.get_event_loop()
#@asynccontextmanager
django_loop = asyncio.get_event_loop()
| [
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1... | 2.860759 | 79 |
#!/usr/bin/env python
import numpy as np
import math
import tensorflow as tf
distance_tf()
# eof
##############################################################################
| [
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import os
import sys
import unittest
from assertpy import assert_that
import behave_restful._utils as br_utils
if __name__ == "__main__":
unittest.main()
| [
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from .generic_typeform import GenericTypeformFeedback # noqa
from .user_generic_typeform import UserGenericTypeformFeedback # noqa
| [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2021, Myriota Pty Ltd, All Rights Reserved
# SPDX-License-Identifier: BSD-3-Clause-Attribution
#
# This file is licensed under the BSD with attribution (the "License"); you
# may not use these files except in compliance with the License.
#
# You may obtain ... | [
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from .constants import *
from .extractors import *
from .parsers import *
from .models import *
from .recognizers_choice import *
| [
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#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
L = [1, 5, 10, 25, 50, 100]
#rpi = [74.02, __, 72.76, __, 76.16]
v = np.array([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.75, 1])
rpi_v = np.array([100, 72.76, 56.99, 42.58, 31.65, 25.26, 13.59, 8])
correlation = np.load('correlation_qz.npz')
no_correlatio... | [
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19... | 2.155187 | 1,205 |
import math, random, re, tinted
from . import nodes, talon
| [
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from django import forms
from .models import Order
from shop.models import buyingList | [
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] | 4.3 | 20 |
import sys
import os
import copy
import collections
import hashlib
import numpy as np
import openmoc
# For Python 2.X.X
if sys.version_info[0] == 2:
from log import py_printf
import checkvalue as cv
# For Python 3.X.X
else:
from openmoc.log import py_printf
import openmoc.checkvalue as cv
if sys.ver... | [
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import json
import boto3
from boto3.dynamodb.conditions import Key, Attr | [
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] | 2.88 | 25 |
import abc
from ..protocols import types
MAX_SUPPORTED_VERSION = types.APIVersion(2, 5)
#: The maximum supported protocol API version in this release
V2_MODULE_DEF_VERSION = types.APIVersion(2, 3)
#: The first API version in which we prefer the v2 module defs
| [
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2... | 3.142857 | 84 |
from common.utils import crypt_utils
from bright import settings
row_data = [
{
'name': 'super',
}
]
| [
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... | 2.510638 | 47 |
import re
import os
import pokepy
from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from pyrogram.types import InlineQueryResultArticle, InputTextMessageContent
from pokemon import pokemon_text
from moveset import moveset_text
from locations import locations_te... | [
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... | 2.579869 | 457 |
# -*- coding: utf-8 -*-
"""
Copyright (c) 2019, Andreas Koenzen <akoenzen | uvic.ca>
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright not... | [
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# -*- coding: utf-8 -*-
"""
This script creates the plot with the data downloaded by 'get_data.py'
"""
import numpy as np
import yt.mods as ytm
from tvtk.api import tvtk
from mayavi import mlab
from tvtk.util.ctf import PiecewiseFunction
from tvtk.util.ctf import ColorTransferFunction
from astropy.io import fits
# py... | [
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... | 2.223737 | 2,494 |
import shutil
from typing import Any, Dict, Optional, Tuple
from faker import Faker
from nig.endpoints import INPUT_ROOT
from restapi.services.authentication import Role
from restapi.tests import API_URI, BaseTests, FlaskClient
| [
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data = (
'Xiao ', # 0x00
'Suo ', # 0x01
'Li ', # 0x02
'Zheng ', # 0x03
'Chu ', # 0x04
'Guo ', # 0x05
'Gao ', # 0x06
'Tie ', # 0x07
'Xiu ', # 0x08
'Cuo ', # 0x09
'Lue ', # 0x0a
'Feng ', # 0x0b
'Xin ', # 0x0c
'Liu ', # 0x0d
'Kai ', # 0x0e
'Jian ', # 0x0f
'Rui ', # 0x10
'... | [
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22... | 1.529662 | 3,051 |
from setuptools import setup
setup(name='bankingapi',
version='0.1.5',
description='Banking API',
url='http://github.com/IJustDev/BankingAPI',
author='ijustdev',
author_email='alexanderpanovi@yahoo.de',
license='MIT',
long_description=read_me(),
packages=['bankingapi',... | [
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# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | [
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import cv2
import math
import numpy as np | [
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] | 3.153846 | 13 |
import argparse
import os
import warnings
import pandas as pd
import torch
import tqdm
from dataset import load_test_dataset
from modeling import SiDClassifier, SiDConfig
os.environ["TOKENIZERS_PARALLELISM"] = "false"
warnings.filterwarnings("ignore")
@torch.no_grad()
if __name__ == "__main__":
parser = argp... | [
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from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn as nn
import torch.optim as optim
from torchvision import datasets, transforms
from torch.utils.data import DataLoader
from torchvision import models
from torchsummary import summary
from tqdm import... | [
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... | 2.229831 | 1,475 |
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 25 14:09:46 2018
@author: JSong
"""
import pandas as pd
import numpy as np
from scipy import stats
from sklearn.utils.multiclass import type_of_target
__all__=['WeightOfEvidence',
'chimerge',
'Discretization']
def check_array(X,ensure_DataFrame=True... | [
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19... | 1.702096 | 4,008 |
import pytest
import sqlalchemy as sa
from sqlalchemy_utils import jsonb_sql
@pytest.mark.usefixtures('postgresql_dsn')
| [
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1... | 2.860465 | 43 |
# Generated by Django 2.2 on 2020-06-21 14:20
from django.db import migrations, models
| [
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13,
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1330,
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602,
11,
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628
] | 2.966667 | 30 |
import torch
from torch import nn
from ..utils import ReverseLayerF
############################################################################################## | [
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628,
198,
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29113,
29113,
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7804,
4242,
2235,
220,
220
] | 6 | 28 |
from flask_bootstrap import Bootstrap
bootstrap = Bootstrap()
| [
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198,
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198
] | 3.764706 | 17 |
import re
import time
from pyhive import presto
from pyhive.exc import DatabaseError
from typing import Dict, List, Tuple
from lib.query_executor.connection_string.helpers.common import (
split_hostport,
random_choice,
)
from lib.form import StructFormField, FormField
from lib.metastore.base_metastore_loader i... | [
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11,
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29291,
198,
198,
6738,
9195,
13,
22766,
62,
18558,... | 2.362694 | 386 |
__version__ = '0.3.66'
#from . import install, extend, _globals, core, examples, github, lumerical, scripts, utils, setup
# from . import install, extend, _globals, core, examples, github, scripts, utils, setup
from . import extend, _globals, core, examples, github, scripts, utils, setup, install
| [
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14750,
11,
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11,
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2,
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764,
13... | 3.215054 | 93 |
from rest_framework import permissions
| [
6738,
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1330,
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] | 5.714286 | 7 |
#
# Generated with WaveTimeSeriesBlueprint
from dmt.blueprint import Blueprint
from dmt.dimension import Dimension
from dmt.attribute import Attribute
from dmt.enum_attribute import EnumAttribute
from dmt.blueprint_attribute import BlueprintAttribute
from sima.sima.blueprints.moao import MOAOBlueprint
class WaveTimeS... | [
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1... | 3.504854 | 103 |
DEFAULT_CONFIG = {
"start_money" : 500,
"start_lootboxes": 3,
"lootbox_price": {
"common": 100,
"uncommon": 300,
"rare": 500,
"epic": 800,
"outstanding": 1000
},
# for each lootbox rarety define number of loot it contain as a range (min, max)
"l... | [
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... | 1.759048 | 2,017 |
#!/usr/bin/env python
# Copyright 2016 RAPP
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to... | [
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... | 2.783357 | 697 |
# TEST ON CPU
#import pandas as pd
import numpy as np
import scipy.optimize as opt
import scipy.io as sio
import torch
from torch.autograd import Variable, grad
from time import time
size=256
# --- Dirac example---#
data = sio.loadmat('./data/demo_toy7d_N' + str(size) + '.mat')
im = data['imgs']
im = torch.tensor... | [
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... | 1.817124 | 1,203 |
from more_itertools import ilen
from my.google import events
from my.google.models import Location, AppInstall, LikedVideo, HtmlComment, HtmlEvent
| [
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] | 3.547619 | 42 |
from django import template
from django.utils.datastructures import SortedDict
register = template.Library()
@register.filter(name='sortcosts')
listsort.is_safe = True
| [
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... | 3.269231 | 52 |
# preparation
import pandas as pd
emg_dataframe = (
pd.read_csv("../../data/emgs.csv")
.query('filename == "12kg_H2_3"')["delt_ant"]
.values
)
# solution
above_average = emg_dataframe[emg_dataframe > emg_dataframe.mean()]
mu = above_average.mean()
sigma = above_average.std()
(above_average > mu + sigma).s... | [
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import sys
from itertools import combinations
if __name__ == '__main__':
print(main())
| [
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"""Check whether base classifier prediction data is correctly formatted.
Functions:
- _check_rank_data: Throws error if data are not an ndarray or sample ranks
- _check_binary_data: Throws error if data are not an ndarray or binary values [-1, 1].
"""
import numpy as np
def check_rank_data(data):
"""Test whether... | [
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48... | 2.591709 | 796 |
#!/usr/bin/python2.7
#/****************************************************************************
#* *
#* OpenNI 2.x Alpha *
#* Copyright (C) 2012 PrimeSense Ltd. ... | [
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22... | 2.15942 | 2,208 |
import configparser
import json
from fast_arrow import (
Client,
Option,
OptionChain,
OptionOrder,
Vertical,
Stock
)
import math
print("----- running {}".format(__file__))
#
# get auth_data (see https://github.com/westonplatter/fast_arrow_auth)
#
with open("fast_arrow_auth.json") as f:
aut... | [
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22... | 2.645161 | 217 |
import logging
from typing import cast
from opentrons.config.feature_flags import enable_http_protocol_sessions
from robot_server.service.session.errors import UnsupportedFeature, \
SessionCreationException
from robot_server.service.session.models.session import SessionType, \
SessionDetails
from robot_server... | [
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import asyncio
from imapclient import IMAPClient
import datetime
from core.events.drivers import DriverOperCreate
from .parsers import parse_body, parse_header
from .config import LEGAL_SENDERS
GATHER_POOL_SIZE = 8
| [
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from flask import render_template
from ..models.user import User
from ..utils.sessions import get_session
from ..utils.gravatar import Gravatar
def main(useruid: str, number: str):
"""
題目通過者畫面
"""
user = User(useruid)
session = get_session(useruid)
question = session.get_question()[number]
... | [
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from django.conf import settings
from django.conf.urls import include, url
from django.views.decorators.cache import cache_page
from .feeds import ArticleFeed
from .views import SourceSearchView, HomepageView, SlackMessageView
from haystack.forms import SearchForm
from haystack.query import SearchQuerySet
from haystac... | [
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... | 2.182946 | 1,290 |
import math
import numpy as np
from scipy import signal
def gaussianBeam(size_x, bmaj, bmin, bpa, size_y=None):
"""
Generate and return a 2D Gaussian function
of dimensions (size_x,size_y).
See Briggs PhD (Appendix B) for details.
:param size_x:
Size of first dimension [pixels].
:par... | [
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1... | 2.2 | 690 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 19 17:46:41 2021
@author: dopiwoo
We are given an array containing 'n' objects. Each object, when created, was assigned a unique number from 1 to 'n'
based on their creation sequence. This means that the object with sequence number '3' was created ... | [
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... | 2.406302 | 603 |
from collections import deque # Ordered collection with ends
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from graduationmgm.lib.DDQN_train import DuelingTrain
| [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# general requirements
import unittest
from .test_structure.server_control import Server
from .test_structure.bayernluefter_mock_server import BayernLuftHandler, BayernLuftServer
# For the server in this case
import time
# For the tests
import aiohttp
import asyncio
from... | [
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9652,... | 2.950311 | 161 |
"""
# Copyright (c) 2018 Works Applications Co., Ltd.
#
# 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... | [
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11... | 3.759036 | 166 |
from __future__ import unicode_literals, absolute_import
from django.contrib.contenttypes.models import ContentType
from django.forms.models import model_to_dict
from django.db import models
from .default_settings import settings as audit_settings
from .models import ModelChange
from . import signals
tracked_models... | [
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#!/usr/bin/env python
import rospy
from std_msgs.msg import String
import time
if __name__ == "__main__":
rospy.init_node("rospy_udp_test")
test_pub = rospy.Publisher("/chatter", String, queue_size=1)
while not rospy.is_shutdown():
test_pub.publish("arm->nvidia")
rospy.loginfo("published: ... | [
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... | 2.253165 | 158 |
from ..objects.base_object import BaseObject
from .base_operator import BaseOperator
| [
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from django.urls import path
from . import views
# handler404 = views.handler404
# handler500 = views.handler500
# if settings.DEBUG:
# urlpatterns += patterns('',
# (r'^500/$', '500.html'),
# # (r'^404/$', 'django.views.generic.simple.direct_to_template', {'template': '404.html'}),
# )
urlp... | [
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... | 2.513158 | 380 |
import asyncio
import logging
from launart.manager import Launart
from launart.service import Service
from launart.utilles import wait_fut
from loguru import logger
from uvicorn import Config, Server
from graia.amnesia.builtins.common import ASGIHandlerProvider
| [
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49... | 3.760563 | 71 |
import requests
import datetime
import json
from time import sleep
from fake_useragent import UserAgent
from win10toast import ToastNotifier
temp_user_agent = UserAgent()
browser_header = {'User-Agent': temp_user_agent.random}
### Variables
## Important Variables
# 0 = Search entire state, 1 = Search only a single d... | [
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79... | 2.67031 | 549 |
# File: inheritance_triangle.py
# Purpose: Inheritance is a tricky concept, so let's go through it step by step.
# Programmer: Amal Shehu
# Course: Codecademy
# Date: Wednesday 31st August 2016, 10:29 AM
class Shape(object):
"""Makes shapes!"""
# Added inherited Triangle class below!
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6... | 2.837838 | 111 |
import tnetwork as tn
import sklearn
import sklearn.metrics
import scipy
import statistics
import networkx as nx
from tnetwork.DCD.analytics.onmi import onmi
import numpy as np
__all__ = ["longitudinal_similarity", "consecutive_sn_similarity", "similarity_at_each_step", "entropy_by_node","nb_node_change","quality_at_e... | [
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"""Implementation of the CART algorithm to train decision tree classifiers."""
import numpy as np
import ray
from sklearn import datasets, metrics
import time
import tempfile
import os
import json
"""Binary tree with decision tree semantics and ASCII visualization."""
class Node:
"""A decision tree node."""
... | [
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775... | 2.267682 | 3,874 |
# Create your views here.
from django.http import HttpResponse
from django.utils import timezone
from .models import coc
from django.shortcuts import render
# Create your views here.
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# -*- coding: utf-8 -*-
"""
transistor.schedulers.brokers
~~~~~~~~~~~~
This module implements classes, methods, and functions to enable
Transistor to connect to a RabbitMQ message broker (queue manager)
or else Redis.
Helpful tutorials:
https://www.cloudamqp.com/blog/2015-05-18-part1-rabbitmq-for-beginners-what-is-rab... | [
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... | 3.078212 | 179 |
from __future__ import absolute_import
from django.core.urlresolvers import reverse
from sentry.models import AuditLogEntry, AuditLogEntryEvent, OrganizationMember
from sentry.testutils import TestCase
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# -*- coding: utf-8 -*-
"""
tsv
===
Module to handle Eurostat bulk-download TSV files.
"""
import numpy as np
import pandas as pd
def read(path, clean=True, format='long'):
"""Return the contents of `path` as a pandas DataFrame object.
Parameters
==========
path : string
Path to input data... | [
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from __future__ import annotations
import enum
import json
import logging
import os
import platform
import pydantic
from typing import Any, Optional, Union
import aiofiles
import asyncio
import backoff
import devtools
import httpx
import pydantic
import servo
import servo.api
from servo.logging import InterceptHandl... | [
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"""Routines that install Adventure commands for the Python prompt.
Copyright 2010-2015 Brandon Rhodes. Licensed as free software under the
Apache License, Version 2.0 as detailed in the accompanying README.txt.
"""
import inspect
class ReprTriggeredPhrase(object):
"""Command that happens when Python calls repr(... | [
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... | 2.878472 | 288 |
import pandas as pd
from numpy import arange
## Question 1
# Step 1: Load data
X = pd.read_csv('Datasets/parkinsons.data')
# Step 2: splice state column and drop it out. Drop also the 'name' column
y = X['status']
X = X.drop(labels=['name', 'status'], axis=1)
# Step 3: Train&test splits
from sklearn.model_selection... | [
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# -*- coding: utf-8 -*-
"""
Created on Tue Mar 5 10:49:48 2019
@author: Dell
"""
#Q.1 Write a function to display sum of all the integers if present in a string.
x=input()
sumofint(x)
#take two argument from user arg1=string arg2=word,function covert that word to "pagal hai kya"
a=input("En... | [
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# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import numpy as np
from urllib.parse import urlencode
from io import BytesIO
from astropy.utils.data import download_file
from astropy import units as u
from astropy.io import fits
from astropy.coordinates import ICRS, Galactic, B... | [
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