text stringlengths 38 1.54M |
|---|
try:
price=int(input("Enter the price-"))
except:
print("Invalid Input")
else:
print("Product added successfully")
try:
print(2/0)
except:
print("Zero division error")
else:
print("Division Successful")
finally:
print("Perhaps") |
#!/usr/bin/env python3
#coding:utf8
import subprocess
import re
a = '''
docker0 Link encap:Ethernet HWaddr 4A:A3:0C:97:E9:11
inet addr:192.168.42.1 Bcast:0.0.0.0 Mask:255.255.255.0
UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1
RX packets:0 errors:0 dropped:0 overruns:0 fr... |
from AbstractMemoryInstruction import AbstractMemoryInstruction as AMI
class POP(AMI):
def __init__(self, registry):
super(POP, self).__init__(registry)
def generate(self):
return 'pop %{}'.format(self._value)
|
from flask import Flask, send_from_directory
from config import Config
from requests import Session
from flask_bootstrap import Bootstrap
from pymongo import MongoClient
app = Flask(__name__)
app.config.from_object(Config)
bootstrap = Bootstrap(app)
mongo_client = MongoClient(host="localhost", port=27017)
db = mongo_c... |
import sys
if sys.version_info.major != 3:
print("Error: You must use python3")
exit()
import os
import pickle as pkl
import csv
from data_management.read_csv import *
from visualization.visualize_frame import VisualizationPlot
import main
TRAVEL_DIR_LEFT_TO_RIGHT = 2
TRAVEL_DIR_RIGHT_TO_LEFT = 1
LC_LEFT =... |
class Solution:
def isEscapePossible(self, blocked, source, target):
from collections import deque
blocked = set(map(tuple, blocked))
def bfs(source, target):
queue = deque()
queue.appendleft((source[0], source[1], 0))
visited = set()
visited.... |
from django.contrib import admin
from juriidilisedjuured.models import Node
from juriidilisedjuured.forms import NodeForm
class NodeAdmin(admin.ModelAdmin):
form = NodeForm
admin.site.register(Node, NodeAdmin) |
from gnuradio.digital import ofdm_packet_utils as pkt_utils
def conv_string_to_1_0_list(s):
"""
s = 'Hello World!''
"""
unpacked_s = pkt_utils.conv_packed_binary_string_to_1_0_string(s)
unpacked_s = list(unpacked_s)
for i in range(len(unpacked_s)):
unpacked_s[i] = int(unpacked_s[i])
... |
import pandas as pd
import numpy as np
max_len= 10
data = pd.DataFrame(columns=np.arange(max_len))
for i in range(10):
reading = pd.DataFrame([np.arange(20)],columns=np.arange(20))
data=data.append(reading, ignore_index=True)
remove_cols = [5,6]
data=data.drop(columns=remove_cols)
print()
|
import cv2
# 图片读取与显示
src = cv2.imread("./pictures/factory.jpg")
cv2.namedWindow("input", cv2.WINDOW_FREERATIO)
cv2.imshow("input", src)
cv2.waitKey(0)
cv2.destroyAllWindows()
|
from PackagesAndModels.pack import *
from PackagesAndModels.method_functions import *
from PackagesAndModels.train_val_test_MNIST import *
from PackagesAndModels.MNIST_MODELS import *
import pickle
import timeit
criterion = nn.CrossEntropyLoss()
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
b... |
weight = input('Your weight (kgw): ')
height = input('Your height (cm): ')
print('Your weight and height are ', weight, height) |
from dp.backend.clients import ConfluentClient, KafkaPythonClient
from dp.filter_extract import get_filter_func
def get_kafka_client():
return KafkaPythonClient()
# return ConfluentClient()
def get_filtered_kafka_messages(topic, filter_func, expected_count, offset, timeout):
client = get_kafka_client()
... |
from django.test import TestCase, Client
from . import extras
# Create your tests here.
# these are the tests that show
# that the attack no longer works
# test that xxs is fixed
class XXSTestCase(TestCase):
fixtures = ['testdata.json']
def setUp(self):
self.client = Client()
def testXXS(self):
response = ... |
# _*_ coding: utf-8 _*_
# author: guoxiaopolu
import urllib2
import sys
import json
from BeautifulSoup import *
reload(sys)
sys.setdefaultencoding('utf-8')
# 传入汽车所属url与所属国家，爬取指定url的汽车信息
def findcar(url, countryname):
try:
c = urllib2.urlopen(url)
except:
print "Could not open %s" % url
... |
"""
Código para raspagem dos resumos submetidos aos Simpósio Nacionais de História da Anpuh entre 2013 e 2019.
Autoria: Eric Brasil (IHL-UNILAB, LABHDUFBA)
"""
from urllib.request import Request, urlopen
from bs4 import BeautifulSoup
import pandas as pd
from datetime import datetime
from pprint import pprint
dic = {'U... |
# -*- coding: utf-8 -*-
# jeroen.vanparidon@mpi.nl
import os
import lzma
import argparse
import random
import itertools
from utensils import log_timer
import logging
logging.basicConfig(format='[{levelname}] {message}', style='{', level=logging.INFO)
def get_lines(fhandle):
"""Removes duplicate lines from a file.... |
# Generated by Django 3.1.7 on 2021-04-23 17:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mobile', '0002_order_product'),
]
operations = [
migrations.CreateModel(
name='cart',
fields=[
('id'... |
# coding: utf-8
#!/usr/bin/env python
from torneira.controller import BaseController, render_to_extension
from tornado.web import HTTPError
from twittface.models.voto import Voto
import tweepy
import math
import settings
import datetime
class VotoController(BaseController):
CONTEXT = ""
def create(self... |
import pymongo
import sys
# establish connection to db
connection = pymongo.Connection("mongodb://localhost", safe=True)
# handle to students collection
db = connection.school
students = db.students
def delete_lowest_homework_score():
cursor = students.find({})
try:
for student in cursor:
student_id =... |
from aiogram import types
from aiogram.dispatcher.filters import Command
from loader import dp
from utils.db_api.models import User
from utils.misc.sentinel import allow_access
@allow_access()
@dp.message_handler(Command('block_me'))
async def block_me(message: types.Message, user: User):
await message.answer(f"... |
'''
Created on Jun 21, 2018
@author: ftd
'''
import os
import shutil
from pathlib import Path
from src.main.pydev.com.ftd.generalutilities.metadata.service.base.File_constant import File_constant
class File_processor(object):
'''
classdocs
'''
@staticmethod
def get_home_dir():
ret... |
# Generated by Django 2.0 on 2017-12-22 06:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('platformes', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='goods',
name='good_url',
f... |
import requests
from .Handlers import (
ApiError as _ApiError,
IllegalArgumentError as _IllegalArgumentError,
)
ApiError = _ApiError # should silence code analysis warning
IllegalArgumentError = _IllegalArgumentError
TimeoutError = requests.exceptions.Timeout
|
# Single Channel Noise Removal using the Subspace Approach
# Copyright (C) 2019 Eric Bezzam, Mathieu Lecoq, Gimena Segrelles
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restric... |
# -*- coding: utf-8 -*-
from good import Schema, All, Required, Optional, Length, Match, Email
login_schema = Schema({
Required('login'): unicode,
Required('password'): unicode
})
signup_schema = Schema({
Required('usern... |
# Filename: TaxRate.py
import sys
from PyQt4.QtCore import *
from PyQt4.QtGui import *
class TaxRate(QObject):
def __init__(self):
super(TaxRate, self).__init__()
self.__rate = 17.5
def rate(self):
return self.__rate
def setRate(self, rate):
if rate != self._... |
lsfrom selenium import webdriver
import unittest
import sys
usingChrome=False
class remoteExample(unittest.TestCase):
def setUp(self):
if(usingChrome):
self._driver=webdriver.Remote("http://152.23.23.217:4444/wd/hub", webdriver.DesiredCapabilities.CHROME)
else:
self._driver=webdriver.Remote("http://152.23.... |
#!/usr/bin/env python
room_grid =\
[
['*', '8', '-', '1'],
['4', '*', '11', '*'],
['+', '4', '-', '18'],
['22', '-', '9', '*']
]
# Because it's easier to access like (x, y) than [x][y], or at least feels nicer.
rooms = {(a, b): room_grid[a][b] for b in range(4) for a in range(4)... |
name='ted'
for char in name:
print(char)
shows=['this',
'is',
'list']
for smthn in shows:
print(smthn)
kor=('this',
'is',
'tuple')
for jj in kor:
print(jj)
people_in_dictionary={'jim':
'BBT',
'brian':
'tyler',
... |
import numpy as np
from scipy.signal import cont2discrete as c2d
import scipy.io as sio
class params(object):
## Parameters definition
def __init__(self):
# model parameters
self.m = 1.5 # mass of the quadcopter (Kg) 0.468
self.g = 9.8 # gravity (m/sec^2)
self.kx =... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import warnings
from pyramid import httpexceptions
from sqlalchemy.orm.exc import NoResultFound
from ..views import permalinker
from ..dynmenu import DynMenu, Label, Link, DynItem
from ..psection import PageSections
from ..pyramid import viewargs
from... |
from abc import ABC
from typing import List, Dict
import torch
from torch import Tensor
from hana.rindou.poser.v2.poser_gan_loss import PoserGanLoss
from hana.rindou.poser.v2.poser_gan_module import PoserGanModule
ORIGINAL = 'original'
G_OUTPUT = "G_output"
KEYPOINT_OUTPUT = "keypoint_output"
class K... |
import time
import chess
import chess.pgn
import random
'uh oh here here i go again...'
GLOBAL_MIN = -1000000
GLOBAL_MAX = 1000000
class engine:
def __init__(self, tlim):
self.root = None
self.layers = 3
self.help = helper()
self.start_time = 0
self.tlim = tlim
def pla... |
from django.db import models
from django.contrib.auth.models import User
from django_resized import ResizedImageField
class MakePost(models.Model):
title = models.CharField(max_length=30)
content = models.TextField(max_length=500, blank=True)
photo = ResizedImageField(size=[500, 300], quality=100, upload_t... |
from flask import jsonify
from dao.resource import ResourcesDAO
class ResourceHandler:
def build_resource_dict(self, row):
result = {}
result['rid'] = row[0]
result['sid'] = row[1]
result['rname'] = row[2]
result['cost'] = row[3]
result['resAmount'] = row[4]
... |
''' Script for downloading and working with a term programme. '''
import os
import sys
import traceback
from datetime import date
import xlsxwriter
from docx import Document
from docx.enum.section import WD_ORIENT
from docx.enum.style import WD_STYLE_TYPE
from docx.shared import Cm, Pt
from osm import Connection, Man... |
def hello_max():
print('Hello Max')
def hello(who):
print('Hello', who)
def greetiong(who, say):
print(say, who)
def greetiong_default(who, say='Hello'):
print(say, who)
hello_max()
hello('Leo')
hello('Max')
greetiong('Привет епта', 'Максон')
greetiong(say='Hi', who='Lol')
greetiong_default(... |
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 6 20:38:51 2019
@author: Administrator
"""
import torch
import yi
import math
def knn_kdtree(x, y, k):
# x: torch.FloatTensor[B, M, 3]
# y: torch.FloatTensor[B, N, 3]
# output: tuple(torch.FloatTensor[B, N, k], torch.LongTensor[B, N, k])... |
import pandas as pd
import numpy as np
from iexfinance import get_historical_data
from datetime import datetime
from datetime import timedelta
# https://pypi.org/project/iexfinance/
IPOData = pd.read_excel("ipo.xlsx")
IPOData_np = np.array(IPOData)
def getQuote(index):
print("processing " + IPOData_np[index,3] ... |
# Copyright (c) Alibaba, Inc. and its affiliates.
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class SinusoidalPositionEncoder(nn.Module):
def __init__(self, max_len, depth):
super(SinusoidalPositionEncoder, self).__init__()
self.max_len = max_len
... |
#!/usr/env/bin python
#
# Buttons
#
#
import pygame
class Button:
def __init__(self, color, coordinates, width, height, text = ''):
self.color = pygame.Color(*color)
self.x, self.y = coordinates
self.width = width
self.height = height
self.text = text
self.active = False
def isHover(self, mouse_x, mo... |
import numpy
class ProportionalControl:
def calculatePolarError(states,referencePosition):
errorPosition = referencePosition - states[0:2]
referenceAngle = numpy.arctan2(errorPosition[1],errorPosition[0])
errorAngle = referenceAngle - states[2]
magnitude = numpy.sqrt(errorPosit... |
import re
from datetime import date
from OOP_with_python.utility.My_utility import *
class Regex:
def __init__(self):
self.number = "1122334455"
def regex(self, data):
# Replace name at every position by user_name
replace_name = re.sub('<<name>>', "Akanksha", data)
replace_f_n... |
# -*- coding: utf-8 -*-
# Copyright 2015-2016 Ivan Yelizariev <https://it-projects.info/team/yelizariev>
# Copyright 2016 Ilyas Rakhimkulov
# Copyright 2017 Kolushov Alexandr <https://it-projects.info/team/KolushovAlexandr>
# Copyright 2016-2018 Dinar Gabbasov <https://it-projects.info/team/GabbasovDinar>
# License MIT... |
# coding=utf-8
# def add_num(num):
# with open('%s.txt'%num, 'w') as fp:
# for i in range(1,100):
# num += 1
# fp.write(str(num) + '\n')
#
# add_num(49110000)
import os
def File_num(path):
if os.path.isfile(path):
print('file num is 1')
return
num = 0
fi... |
from flask import Flask, render_template
from flask_assets import Environment, Bundle
app = Flask(__name__)
app.config['DEBUG'] = True
assets = Environment(app)
less = Bundle('styles/app.less', filters='less',depends='styles/less/**/*.less', output='app.css')
assets.register('less', less)
@app.route('/')
def index()... |
import os
import pandas as pd
from utils.PreprocessUtils import clean_text, remove_stopwords, lemmatize_text, tf_idf, export_tfidf_to_dill
def files_to_df():
path = '..\\data\\bbc'
# path = '..\\data\\bbcSample'
df = pd.DataFrame(columns=['id', 'path', 'filename', 'text'])
for root, dirs, files in o... |
#!/usr/bin/env python
#coding:utf-8
'''3 合并排序
基本思想:
获取两个已经排序的列表，然后将他们合并成一个列表，
我们先以非常小的列表开始，然后不断对它们进行合并，
直到最终剩下单个已排序列表为止。'''
def merge(left, right):
"""合并两个数组"""
merged = []
i, j = 0, 0 # i, j 分别作为left和right的下标
left_len, right_len = len(left), len(right)
while i < left_len and j < right_len:
... |
from unittest import mock
import pytest
from services.translation import (
TranslationConfig,
TranslationRequest,
TranslationResponse,
TranslationService,
)
translation_test_data = [
# Test same language returns same string
("google", "Hello test", "en-US", "en-US", "Hello test", None),
("... |
import socket
import sys
import select
import upload
from encryption import encrypter, decrypter, init_key, init_iv
DEFAULT_BUFF = 128
MAX_READ = 112
def ping():
first = "ping\n".encode()
first = encrypter(first)
connection.sendall(first)
while True:
line = sys.stdin.readline()
encryp... |
"""Remove a Few Things
Sometimes you need to remove something from a list.
beatles = ["john","paul","george","ringo","stuart"]
beatles.remove("stuart")
print beatles
This code will print:
["john","paul","george","ringo"]
We create a list called beatles with 5 strings.
Then, we remove the first item from beatles that... |
#!/usr/bin/python3
import torch.utils.data
from typing import List, Tuple
from mseg_semantic.utils import dataset, transform, config
def create_test_loader(args) -> Tuple[torch.utils.data.dataloader.DataLoader, List[Tuple[str,str]]]:
"""
Create a Pytorch dataloader from a dataroot and list of
relative paths.
... |
from django.test import TestCase
from .models import *
class SmsTestCase(TestCase):
def setUp(self):
Template.objects.create(label='test', code='test', content='【漫点科技】验证码%s，用于注册登录，请勿泄露')
def test_send_sms(self):
result = Sms.objects.send_sms('15550001234', 'test', '1234')
self.assert... |
import os,sys
sys.path.append(os.path.dirname(os.path.realpath("")))
from image import *
from imgstream import *
def test_stereo():
stream = Stream(mode='img',src='stereotest')
img1 = stream.get()
img2 = stream.get()
f = 1000
K = np.zeros((3,3))
K[0,0] = f
K[1,1] = f
K[2,2] = 1
K[0,2] = img1.shape[0]
K[1... |
import unittest
import calc
class CalcultaroTestCase(unittest.TestCase):
def test_add(self):
self.assertEqual(calc.add(2, 3), 5)
def test_sub(self):
self.assertEqual(calc.subtract(10, 5), 5)
def test_div(self):
self.assertEqual(calc.division(10, 2), 5)
def test_multiply(self... |
# -*- coding: utf-8 -*-
import datetime
import json
from django.http import HttpResponse
from django.utils.decorators import method_decorator
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.decorators import login_required
from django.views.generic import TemplateView
from django.views.g... |
#!/usr/bin/env python3
import surfex
import sys
if __name__ == "__main__":
args = surfex.parse_args_gridpp(sys.argv[1:])
surfex.run_gridpp(args)
|
class Solution:
def removeDuplicates(self, nums: List[int]) -> int:
if len(nums) < 2:
return len(nums)
pointer = 0
for i in range(len(nums)):
if nums[pointer] != nums[i]:
pointer += 1
nums[pointer] = nums[i]
return pointer+... |
# Generated by Django 2.2.1 on 2019-05-12 07:33
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Article',
fields=[
... |
from flask import render_template, redirect, url_for, request, session, flash
from shop import db
from . import auth_bp
from .forms import RegistrationForm, LoginForm
from .models import User
@auth_bp.route('/register/', methods=['GET', 'POST'])
def register():
form = RegistrationForm(request.form)
if request... |
__all__ = ('TOUHOU_ACTION_KISS',)
from ...image_handling_core import ImageDetail
from ...touhou_core.character import freeze
from ...touhou_core.characters import KOMEIJI_KOISHI, SCARLET_FLANDRE
TOUHOU_ACTION_KISS = [
ImageDetail(
'https://cdn.discordapp.com/attachments/568837922288173058/102327382667246... |
# coding: utf-8
from sqlalchemy import Column, Float, Integer, Table, Text
from sqlalchemy.sql.sqltypes import NullType
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class BOX(db.Model):
__tablename__ = 'BOX'
id = db.Column(db.Integer, primary_key=True)
movie_key = db.Column(db.Integer, nul... |
import unittest
import numpy as np
import pandas as pd
import xarray as xr
import stglib
class TestUtils(unittest.TestCase):
def test_rotate(self):
expected = (-np.sqrt(2) / 2, np.sqrt(2) / 2)
result = stglib.aqd.aqdutils.rotate(0, 1, -45)
np.testing.assert_almost_equal(expected, result)... |
import random
import time
import requests
from BeautifulSoup import BeautifulSoup
from methods import *
from config import endpoints
logger = logging.getLogger('incapsula')
def _load_encapsula_resource(sess, response):
timing = []
start = now_in_seconds()
timing.append('s:{}'.format(now_in_seconds() - ... |
'''
Model baseclass
'''
# pylint: disable=no-member
import json
import os
import time
import random
import sys
from collections import Counter
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.utils import class_weight
from tensorflow.keras.optimizers import Adam
from tensorflow.... |
import csv
import random
from hyperopt import STATUS_OK
from timeit import default_timer as timer
from hyperopt import hp
from hyperopt.pyll.stochastic import sample
from sklearn.model_selection import KFold, train_test_split
from sklearn.metrics import recall_score, precision_score, accuracy_score
from hyperopt import... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# explode: 将一行数据展开成多行
# nunique: 去重计数
# replace: 替换df中的值，赋以新的值
import pandas as pd
import numpy as np
# DataFrame.explode(self, column: Union[str, Tuple])
def l_explode():
id = ['a','b','c']
measurement = [4,6,[2,3,8]]
day = [1,1,1]
df1 = pd.DataFrame({'... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 11 18:21:30 2018
@author: virajdeshwal
"""
'''Let's start the Natural Language Processing.
In the dataset.
1= positive review
0= negetive review'''
import pandas as pd
#We will use tab seperated Variabel(.tsv) file.
#checkout the synt... |
from django.shortcuts import render
from .models import Person
def persons_list(request):
persons = Person.objects.all()
return render(request, 'person.html', {'person': persons})
# Create your views here.
|
# Copyright 2019 Balaji Veeramani. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... |
from margo_parser.exceptions import MargoParseException
import json
from margo_parser.api import (
MargoBlock,
MargoDirective,
MargoAssignment,
MargoStatementTypes,
)
import pytest
import yaml
def test_parses_empty_margo_block():
block = MargoBlock("")
assert block.statements == []
def test_... |
# compat2.py
# Copyright (c) 2013-2019 Pablo Acosta-Serafini
# See LICENSE for details
# pylint: disable=C0111,R1717,W0122,W0613
# Standard library imports
import re
###
# Functions
###
def _ex_type_str(exobj): # pragma: no cover
"""Return a string corresponding to the exception type."""
regexp = re.compile... |
import logging
log = logging.getLogger(__name__)
from functools import partial
import operator as op
import threading
import numpy as np
from atom.api import Enum, Bool, Typed, Property
from enaml.application import deferred_call
from enaml.qt.QtCore import QTimer
from enaml.workbench.api import Extension
from enaml... |
#!/usr/bin/env python3
"""Kafka connector
"""
__author__ = 'Ali Rahim-Taleqani'
__copyright__ = 'Copyright 2020, The Insight Data Engineering'
__credits__ = [""]
__version__ = '0.1'
__maintainer__ = 'Ali Rahim-Taleqani'
__email__ = 'ali.rahim.taleani@gmail.com'
__status__ = 'Development'
import argparse
import json
im... |
import requests
import json
from math import ceil
import pandas as pd
import os
USER = os.environ.get('PELOTON_DISPLAY_NAME')
EMAIL = os.environ.get('PELOTON_EMAIL')
PWD = os.environ.get('PELOTON_PWD')
PAYLOAD = {'username_or_email': EMAIL, 'password':PWD}
LOGIN_URL = 'https://api.onepeloton.com/auth/login'
USER_URL =... |
class Node:
def __init__(self, key):
self.parent = None
self.key = key
self.right = None
self.left = None
self.start = float('-inf')
self.end = float('inf')
self.intervals = []
def succ(self):
tmp=self
if tmp.right is not None:
... |
from numpy import *
from case4 import case4
from scipy.sparse import *
import nlopt
ppc = case4()
bus = ppc["bus"]
branch = ppc["branch"]
gen = ppc["gen"]
baseMVA = ppc["baseMVA"]
nb = 4 #number of bus
nl = 4 #number of branch
ng = 2 #number of generator
#calculate Ybus, this part from pypower
stat =... |
from cs50 import get_int
# prompt for height where h is an integer between 1 and 8
while True:
h = get_int("Height: ")
w = h
if h > 0 and h <= 8:
break
# print # based on input value of h
for i in range(1, h + 1):
hash = i
spaces = w - hash
print(" " * spaces, end="")
print("#" * ... |
from tkinter import *
import Pmw
def inisialisasi():
#Code tetap, inisialisasi
root = Tk()
root.title('ElGamal Cryptosystem')
Pmw.initialise()
# Create and pack the NoteBook.
notebook = Pmw.NoteBook(root) #membuat objek notebook
notebook.pack(fill = 'both', expand = 1, padx = 10, ... |
# Copyright 2016 - Nokia
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, sof... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'petro-ew'
"""
41. Написать программу,
считывающую текстовой файл и выводящую 20 самых часто встречающихся в нем слов.
Слово - это последовательность символов, не содержащая разделителей.
Разделители - это символы в данной строке: " .,:;-?!\n".
... |
"""
RF_Train_Test.py
date: 25-Jun-2021
author: L.Zhang
Contact: leojayak@gmail.com
-------------------------------------
Description:
"""
# libraries
import os
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
from sklearn.m... |
# this file will automatically be changed,
# do not add anything but the version number here!
__version__ = "3.7.0a1"
|
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
import numpy as np
class RNN_Transform_Wrap(BaseEstimator, TransformerMixin):
""" Wrapper to apply scaling transformation to 3d shaped array required
... |
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import ModelCheckpoint, EarlyStopping
from keras.optimizers import Adam
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import regulariz... |
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 21 13:50:05 2020
@author: amsa9
"""
from sklearn.metrics import accuracy_score,confusion_matrix
import matplotlib.pyplot as plt
import itertools
import numpy as np
classes=['buildings','forest','mountain','sea']
priors=[]
covariances=[]
means=[]
# === likelihood 계산 함수 ... |
class RelationClassifier:
def isBijection(self, domain, range):
d = {}
for x in domain:
if x in d:
return 'Not'
d[x] = True
d = {}
for x in range:
if x in d:
return 'Not'
d[x] = True
return 'Bijection'
|
import datetime
class file_system():
def __init__(self, nome):
# Inicializa o FileSystem com os arquivos já contidos no disco
print("\nSistema de arquivos =>")
with open(nome, 'r') as f:
lines = [l.strip() for l in f.readlines()]
self.num_blocks = int(lines[0]) ... |
from django.contrib import admin
from clubkit.roster.models import RosterId
admin.site.register(RosterId)
|
""" User input handling """
from pygame import joystick
from pygame.locals import *
import pygame
import logging
import functions
import Display
# Controller sensitivity to axis position changes
POS_SENS = 0.2 # Positive sensitivity
NEG_SENS = -0.2 # Negative sensitivity
HAT_UP = (0, 1)
HAT_DOWN = (0, -1)
... |
#!/usr/bin/env python
import sys
import Personis
import Personis_base
import Personis_a
from Personis_util import printcomplist, printjson
print "skipping import test. Edit script to test"
sys.exit(0)
# import a model sub tree from JSON
um = Personis_a.Access(model="Alice", modeldir='Tests/Models', user='alice', pa... |
import socket
import threading
import sys
import datetime
import time
import hashlib
def packetMaker(packet,i):
hash_value = (hashlib.sha1(str(i).zfill(5) + packet).hexdigest())[:10]
packet = str(i).zfill(5) + packet + hash_value
return packet
i = 1
input_file = open("input.txt", "rb")
file_array = []
p... |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 14:20:17 2018
@author: Anshu Pandey
"""
import numpy
x=[4,5,6]
y=[7,2,9]
x+y
x=numpy.array([7,4,2,6])
y=numpy.array([2,3,9,8])
type(x)
x.size
x+y
x*y
x-y
x/y
x=numpy.array([[7,4,2,6],[1,2,5,8],[3,6,9,4]])
x.dtype #data type of the elements
x... |
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def index():
return render_template ("index.html")
@app.route("/ninja")
def all_ninja():
return render_template ("all_ninjas.html")
@app.route("/ninja/<color>")
def specific_ninja(color):
color = color
if color == "blue":
r... |
"""
A collection of handy functions for making python microservices work in the real world
"""
from os import getpid, getenv
from socket import getfqdn, gethostbyname
import logging
import urllib2
import json
import datetime
import traceback as tb
def send_request_to_bus(input_dict,host,port,topic):
""" this is... |
__author__ = 'suhas subramanya'
import MapReduce
import sys
import json
mr=MapReduce.MapReduce()
def mapper(record):
mr.emit_intermediate(record[1],('A',record[0],record[2]))
mr.emit_intermediate(record[0],('B',record[1],record[2]))
def reducer(key,list_of_values):
firstMatrix=[]
secondMatrix=[]
... |
from examples.ramen_rec.tests.conftest import TestRamens
from examples.ramen_rec.app.services import GraphRamenQueryService
from examples.ramen_rec.app.models import Ramen
from frex.services import DomainKgQueryService
from frex.stores import LocalGraph
def test_get_ramen_by_uri(
graph_ramen_query_service: GraphR... |
import requests
from selenium import webdriver
def get_job():
"""发送请求获取任务"""
return 'josn_dict'
def consumer_job(jobs=''):
"""执行并保存"""
driver = webdriver.Chrome()
url = 'https://www.facebook.com/701004359919966'
driver.get(url)
html = driver.page_source
with open("temp.html", 'w', enc... |
from tkinter import *
def print_me():
result = text.get(1.0,END)
print(result)
def print_me1():
result = text.selection_get()
print(result)
def position():
result = text.selection_get()
pos = text.search(result,0.0,stopindex=END)
print(pos)
def clearme():
text.delete(1.0,END)
root =... |
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