text stringlengths 8 6.05M |
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from cvs import login
from cvs import create_driver
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import Select
def test_items_shopping_basket():
driver = crea... |
"""Write a program that prompts for an integer—let’s call it X—and then finds the
sum of X consecutive integers starting at 1."""
value_str = input("Enter a value ")
sum = 0
count = 0
try:
#convert input to int
value_int = int(value_str)
print("Consecutive sums: ")
for i in range(1, value_int + 1):
... |
"""
This file is part of pysofar: A client for interfacing with Sofar Ocean's Spotter API
Contents: Classes used to connect to the Sofar API and return data
Copyright 2019-2022
Sofar Ocean Technologies
Authors: Mike Sosa et al.
"""
from datetime import datetime
from itertools import chain
from multiprocessing.pool i... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-03-14 17:54
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("election_snooper", "0001_initial")]
operations = [
migrations.AlterField(
mod... |
import pandas as pd
import pymysql as db
import logging
import sys
import os
import numpy as np
import sqlalchemy
from datetime import datetime
import json
import streamlit as st
import pandas as pd
def ssh_auto(for_accounts,cred_path):
server_port = []
localhost_port = []
cred = pd.read_csv(cred_path)
... |
import pytest
from spectree.response import Response
from spectree.spec import SpecTree
from spectree.utils import (
has_model,
parse_code,
parse_comments,
parse_name,
parse_params,
parse_request,
parse_resp,
)
from .common import DemoModel, DemoQuery, get_model_path_key
api = SpecTree()
... |
#！/usr/bin/env python
# _*_ coding:utf-8 _*_
# __author__ = caicaizhang
# 迭代器
class yield_im(object):
def __init__(self,start=0,stop=0):
'''
ref blog:
http://www.codebelief.com/article/2017/02/python-advanced-programming-generator/
生成器的工作方式与迭代器相同，可以被视为是迭代器的一种。需要注意的是，生成器只支持一遍的迭代。当... |
# ============================================
#datasetName = "RelValTTbar"
#datasetPath = "/RelValTTbar_13/CMSSW_7_3_0-MCRUN2_73_V7-v1/MINIAODSIM"
#prodTag = "crabTest"
import os
userName=os.getlogin()
outputPath="/store/user/"+userName+"/FlatTrees/"+prodTag+"/"
# ============================================
... |
a=int(input())
cnt=0
while(a>0):
cnt=cnt+1
a=int(a/10)
print(cnt)
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#准备好r.txt文件，将要索引的单词输入到r.txt文本文件中，每行一个单词,每行为一页.
#每页含有两个以上的词，每行的单词间用'|'分开：ab|ac|ad
#python pyprint.py,结果写入index.txt文件
#for mac osx
f = open('index.txt','w')
r = open('r.txt')
count = 1
line = len(open('r.txt').readlines())
print >> f,'<?xml version="1.0" encoding="UTF-8"?>... |
import pickle
TRUE_LABEL_DICT_dir = '../SYN-IG/new-SYN10wLabelDict.pickle'
TRUE_NOTE_DICT_dir = '../SYN-IG/new-SYN10wNoteDict.pickle'
SAMPLES_dir = '../SYN-IG/new-SYN10w.pickle'
#INITIAL_STRATIFICATION = [(0, 0.20), (0.20, 0.40), (0.40, 0.60), (0.60, 0.80), (0.80, 1.01)]
INITIAL_STRATIFICATION = [(0, 0.10), (0.10, 0... |
print("The number of students involved in are %d" , 8)
print("This Github is very nice")
|
with open("input.txt","r") as f:
s=f.read()
f.close
with open("output.txt","w") as f:
f.write(s)
f.close
|
import os, time
t=input(u'请输入几点几分关机(格式 05:59) : ')
h_off, m_off = t.strip().split(":")
h_off, m_off = int(h_off), int(m_off)
t = time.localtime()
h, m = t.tm_hour, t.tm_min
print(f'当前时间：{h}:{m}')
if h > h_off:
time_shut = h_off*3600 + m_off*60 - h*3600 - m*60 + 24*3600
else:
time_shut = h_off*3... |
ages = [19, 20, 18]
for x in ages:
sum += x
sum /=len(ages)
print(sum)
|
import os
from flask import Flask
from database import db
import config
from dotenv import load_dotenv
from authentication import authentication_bp
from views.algorithms import algorithms_bp
from views.general import general_bp
load_dotenv()
# creating app
app = Flask(__name__)
app.config.from_object(os.environ['APP_S... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from PyQt4 import QtGui, QtCore
from datetime import datetime, date, time, timedelta
import calendar
class App(QtGui.QWidget):
def __init__(self):
super(App, self).__init__()
self.initUI()
def initUI(self):
#Agregamos los nombres de los personajes
... |
import os
from config import DEBUG, LOCAL_DATABASE_URL, DATABASE_URL, USE_LOCAL_VARIABLES
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
DEBUG = DEBUG
TESTING = False
CSRF_ENABLED = True
SQLALCHEMY_DATABASE_URI = LOCAL_DATABASE_URL if USE_LOCAL_VARIABLES else DATABASE_URL
... |
#!/usr/local/bin/python
# coding: UTF-8
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream, API
from hyphen import Hyphenator, dict_info
from threading import Thread
from time import sleep
import os
import csv
import sys
import re
import string
import json
import rando... |
from collections import deque
class MaximumIndependentSet:
def __init__(self, bipartite_graph : dict):
self.bipartite_graph = bipartite_graph
def compute(self):
# Hopcroft-Karp gets the maximal matching of the bipartite graph in O(E sqrt(V))
self.hopcrofKarp()
# Using Koenigs theorem we can ret... |
import pandas as pd
import matplotlib.pyplot as plt
airquality_df=pd.read_csv('E:\csvdhf5xlsxurlallfiles/airquality.csv')
|
## ENTIRE RUN FILE FOR THE PUNE PROTOTYPE
__author__ = 'hassaankhan'
import time
import pandas as pd
import numpy as np
import logging
import shapefile
log = logging.getLogger(__name__)
from __future__ import division
from pynsim import Network
from pynsim import Simulator
from dateutil.relativedelta import relative... |
#!/usr/bin/env python
# Implementation of https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_majority_vote_algorithm
import logging
def get_max_vote_2(arr):
"""
Get value that appears at least in n/2 + 1 places in list
"""
i = 0
m = 0
for x in arr:
if i == 0:
m = x
... |
import time
string_1="MNSS Rai"
def stringCopies(n):
if n<0:
time.sleep(1)
print("Please enter a positive integer :")
else:
print("Printing",n,"copies of string ...")
time.sleep(1)
print(string_1*n)
stringCopies(3)
stringCopies(-2) |
from django.contrib import admin
from django.urls import path, include
from pyweb.views import base_views
urlpatterns = [
path('admin/', admin.site.urls),
path('pyweb/', include('pyweb.urls')),
path('common/', include('common.urls')),
path('', base_views.index, name='index'),
]
|
from django.apps import AppConfig
class AcsysSystemConfig(AppConfig):
name = 'acsys_system'
|
s1,s2,n=input().split()
d={}
c=0
for i in range(len(s1)):
if(s1[i] not in d.keys()):
d[s1[i]]=s2[i]
else:
if(d[s1[i]]==s2[i]):
continue
else:
c+=1
if(c==n or c==0):
print("yes")
else:
print("no")
|
a=input()
n=input().split()
s=sorted(n,reverse=True)
print("".join(s))
|
"""
求解编辑距离：
----------- 题意 -----------
给定两个单词 word1 和 word2，计算出将 word1 转换成 word2 所使用的最少操作数 。
你可以对一个单词进行如下三种操作：
插入一个字符
删除一个字符
替换一个字符
----------- 题解 -----------
动态规划：
两个指针i，j分别指向word1和word2
定义dp[i][j]表示word1[:i]转换成word2[:j]需要的最少步骤
初始化时，dp[i][0] = i, dp[0][j] = j
如果word1[i-1] == word2[j-1]时：
dp[i][j] = dp[i-1][j-1] /... |
"""豆瓣电影
"""
import json
from urllib.request import urlopen
from urllib.parse import urlencode
class Movie():
url = 'https://api.douban.com/v2/movie/'
def __init__(self):
pass
def get_subject_by_id(self, movie_id):
url = self.url + 'subject/' + movie_id
response = urlopen(url)
... |
from django.contrib.auth import authenticate
from django.contrib.auth.models import User
from django import forms
from game.models import Game
from phase10Scorer.settings import PASSWORD
class LoginForm(forms.Form):
"""
Form used to log in to the web application.
"""
username = forms.CharField(widget... |
from flask import Flask, render_template, request, redirect
app = Flask(__name__)
@app.route("/")
def home():
return render_template("index.html")
@app.route("/ninja")
def ninja():
return render_template("ninja.html")
@app.route("/ninja/<userinput>")
def userinput(userinput):
if userinput == "blue":
... |
l=[100, 10, 5, 25, 35, 14]
n=11
mul=1
for i in l:
mul=mul*i
print(mul%n)
|
# Copyright (c) Members of the EGEE Collaboration. 2004.
# See http://www.eu-egee.org/partners/ for details on the copyright
# holders.
#
# 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
#... |
"""
This file builds on the C extension _distributions.c and contains python classes
that are used to evaluate PDFs and CDFs of distributions and draw samples from
a range of distributions.
The following distributions are currently implemented
- Exponential (http://en.wikipedia.org/wiki/Exponential_distribution)
- Log... |
import json
import datetime
import time
import os
import dateutil.parser
import logging
import boto3
import re
region = 'us-east-1'
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
ec2 = boto3.resource('ec2', region_name=region)
ec2_client = boto3.client('ec2')
lex_client = boto3.client('lex-models')
# St... |
import numpy as np
def one_hot_encode_along_channel_axis(sequence):
to_return = np.zeros((len(sequence),4), dtype=np.int8)
seq_to_one_hot_fill_in_array(zeros_array=to_return,
sequence=sequence, one_hot_axis=1)
return to_return
def seq_to_one_hot_fill_in_array(zeros_array,... |
import json
import unittest
import sqlparse
from sje import extractor
ONE_LEVEL_JSON = [
{"name": "name", "type": "STRING"},
{"name": "age", "type": "NUMERIC"},
]
NESTED_JSON = [
{"name": "name", "type": "STRING"},
{
"name": "metadata",
"type": "RECORD",
"fields": [
... |
import csv, math
strInputFilename = 'PcieTrace.csv'
strOutputFilename = 'PcieTrace.log'
adminQueueBaseAddress = 0
adminQueueSize = 0
barAddress = 0xDF000000
# Queue Id, SQ Base Address, SQ Size, CQ Base Address, CQ Size, SQ Tail Doorbell, CQ Head Doorbell, SQ Head Pointer
QueueTable = [
# Qid, Sq... |
# Conway's Game of Life - Python Implementation
# Author: Daniel: dan@imdany.com
import pygame
from config import *
# Logic of the Cell
class Cell:
def __init__(self, gameDisplay, c, r, state=0):
self.c = c
self.r = r
self.state = state
self.gameDisplay = gameDisplay
... |
from elements.code_elements import GenericElement, CommandElement
from abc import abstractproperty
from elements.return_types import *
class CompareElement(CommandElement):
def __init__(self, a: GenericElement, b: GenericElement):
if a.return_type != b.return_type and a.return_type is not self.return_typ... |
def insertionsort(list):
for i in range(1, len(list)):
j = i
while j > 0 and list[j-1] > list[j]:
temp = list[j]
list[j] = list[j-1]
list[j-1] = temp
j -= 1
return list
if __name__ == "__main__":
list = [55,51,74,86,36,67,88,0,49]
print insertionsort(list)
|
#! /usr/bin/env python
"""
Author: Zhiqiang Liang
Program: fd_faceboxes.py
Date: Tuesday, Mar. 12 2019
Description: re-write demo.py functionalities of faceboxes.
"""
import sys
import os
import numpy as np
import matplotlib.pyplot as plt
import cv2
import argparse
caffe_root = r'../'
# os.chdir(caffe_root)
sys.path.... |
"""Entry point for pydantic-aioredis"""
from .config import RedisConfig # noqa: F401
from .model import Model # noqa: F401
from .store import Store # noqa: F401
|
import base64
encoded = base64.b64encode('user:pass'.encode('UTF-8')).decode('ASCII')
print(encoded) |
# -*- coding: utf-8 -*-
"""
Created on Sat May 23 14:54:43 2015
@author: Martin Nguyen
"""
from __future__ import division
import simpy
import csv
from MonitorClass import Monitor
from PatientClass import Patient
simulationTime = 500
class SimulationSystem(object):
def __init__ (self,size,file_name):
self.... |
import os
import pandas as pd
import torch
import time
from train import train
from test import test
def main(model_name, parameters_name, save_name, cuda_device=0):
train_loss_list = []
valid_loss_list = []
train_accuracy_list = []
valid_accuracy_list = []
test_accuracy_list = []
time_list = []
base_path = o... |
## Santosh Khadka - Tic Tac Toe Game
#Globals
row1 = ['-', '-', '-']
row2 = ['-', '-', '-']
row3 = ['-', '-', '-']
def print_start():
print("===============================")
print(' Lets play Tic-Tac-Toe!')
print("===============================")
print("[Type 'exit' to leave anytime.]")
prin... |
from symbolTable import ST
from util import strToBinary16
from lockuptable import getMachineCode
def assemblePh3(code):
# // out = open("output.txt", 'w')
# // linesAgain = open(assemblesFile.name, 'r').readlines()
ph3_out = ''
addressNumber = 0
for line in code.splitlines(True):
if(line.f... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from contextlib import contextmanager
def assert_logged(
caplog, expect_logged: list[tuple[int, str]] | None = None, exclusively: bool = True
) ->... |
# functions that implement the Logistic Regression
from scipy import exp, dot, log, array, asarray, linspace, zeros, ones, append
import matplotlib.pyplot as plt
def sigmoid(z):
'''
Compute the Sigmoid function
g = sigmoid(z) returns the sigmoid of z
z can be a matrix, vector, or scalar
'''
... |
import time
import numpy as np
import scipy.sparse as sps
import scipy.sparse.linalg as spsl
from Vertex import Vertex
from matplotlib import pyplot as plt
from true_field import true_field
# starting with nu = 0 and Neumann boundary conditions for simple precision matrix
class GMRF_Regression:
def __init__(self, ... |
import sys, os, operator
'''
Sorts grouped characters from greatest number of words to least.
'''
def sort_grouped(input, output):
try:
with open(input, 'r') as inputf, open(output, 'w') as outputf:
words = {}
lineDelim = ": "
wordDelim = ", "
for line in inputf:
line_info = line.strip('\n').split(... |
#!/usr/bin/env python
import sys
import pandas as pd
import fetch
from progress import ProgressBar
USERNAME = 'stephenroller'
ACCESS_KEY = '5b22bd3303fe4c21a4463d37cca0353813a56109'
MAPPING_URL = 'http://www.image-net.org/api/text/imagenet.synset.geturls.getmapping?wnid=%s'
HYPO_URL = 'http://www.image-net.org/api/... |
import itertools
import sys
import classes
import string
import csv
import exceptions
class Strand:
def __init__ (self, material, name, sequence):
"""
specifies whether DNA or RNA, gives name, and gives sequence
and checks self.correct_type(sequence)
"""
self.material = material
self.name = name
self.se... |
# Generated by Django 3.0.6 on 2020-05-31 20:33
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import torch
from torch.jit import script, trace
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
import csv
import random
import... |
# Anki addon for SRS Collector
# Author: Eric Kidd <http://kiddsoftware.com/>
#
# This is free and unencumbered software released into the public domain.
# This program comes with ABSOLUTELY NO WARRANTY; without even the implied
# warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# For more information, ... |
OUTPUT = "I don't think you {} today, I think you {} {} {}!".format
def alan_annoying_kid(phrase):
words = phrase.split()
action = ' '.join(words[2:]).rstrip('.')
if "didn't" in phrase:
return OUTPUT(action, 'did', words[3], 'it')
return OUTPUT(action, "didn't", words[2][:-2], 'at all')
|
from nab.database import Database
class AltTitles(Database):
"""
Adds additional titles for shows and seasons.
"""
def __init__(self, **shows):
"""
Args:
shows: A structure of titles.
"""
self.shows = dict((s.lower(), v) for s, v in shows.iteritems())
... |
import simplegui
import random
x = 500
y = 500
screen_text = "Khoa doesn't do homework"
#change screensaver text input field handler
def change_text(screensaver):
global screen_text
screen_text = screensaver
def draw(canvas):
canvas.draw_text(screen_text,(x,y),20,"Red")
def timer_handler():
... |
from __future__ import unicode_literals, absolute_import
import django
DEBUG = True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
TIME_ZONE = 'America/Chicago'
USE_TZ = True
LANGUAGE_CODE = 'en-us'
SITE_ID = 1
USE_I18N =... |
#! /usr/bin/env python3.10
from User import User, Credential
def create_user(user_name, password):
new_user = User(user_name, password)
return new_user
def save_user(user):
user.save_user()
def display_user():
return User.display_user()
def login_user(user_name, password):
check_user = Cred... |
from .dataset_utils import get_dataset_per_pixel_mean, make_batch_one_hot, make_single_pattern_one_hot
from .theano_utils import make_theano_training_function, make_theano_validation_function, \
make_theano_feature_extraction_function, make_theano_inference_function, LasagneHeNormal
from .training_utils import extr... |
import sys
from loguru import logger
from {{cookiecutter.project_slug}}.config import settings
async def setup_logger() -> None:
if settings.is_debug:
level = 'DEBUG'
diagnose = True
else:
level = 'INFO'
diagnose = False
logger.remove()
logger.add(
sys.stdout,... |
#to run: python turnON.py GPIO_number
#where GPIO_number have to be an integer. e.g. 29
import RPi.GPIO as GPIO
import sys
# Set the GPIO number where LEDs control is conected
if len(sys.argv)==2:
GPIO_num = str(sys.argv[1]) # e.g. Timelapse
else:
GPIO_num = 29 #GPIO 29 is used as the default
G... |
'''David Naccache based Identity-Based Encryption
| From: "David Naccache Secure and Practical Identity-Based Encryption Section 4"
| Available from: http://eprint.iacr.org/2005/369.pdf
* type: encryption (identity-based)
* setting: bilinear groups (asymmetric)
:Authors: Gary Belvin
:Date: 06/2011
'''
from __... |
from collections import deque
class Vertex:
def __init__(self, value, adj_list=None):
self.value = value
if adj_list is None:
adj_list = []
self.adj_list = adj_list
class Graph:
def __init__(self):
self.vertices = []
def insert(self, value, adj_list):
... |
# -*- coding: utf-8 -*-
# Since NoneType is not actually defined, yet is returned by 'type(None)'
NoneType = type(None)
def optional(t):
if isinstance(t, tuple):
return t + (NoneType, )
return (t, NoneType)
class Mixin(object):
"""
Base mixin class used for describing objects that share mu... |
import unittest
from katas.beta.find_the_middle_element import gimme
class GimmeTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(gimme([2, 3, 1]), 0)
def test_equals_2(self):
self.assertEqual(gimme([5, 10, 14]), 1)
|
def mean(arr):
letters = []
sum_of_digits = total_digits = 0.0
for a in arr:
try:
sum_of_digits += int(a)
total_digits += 1
except ValueError:
letters.append(a)
return [sum_of_digits / total_digits, ''.join(letters)]
|
#! /usr/bin/env python3
# # -*- coding: utf-8 -*-
#################################################################
# get modbus data from CU and save to log file
# Norihito Nov.2020
#
# Usage: python client_modbus_sample.py
#################################################################
import time
import datet... |
'''
Имплементирајте ги функциите:
- Range compression (слајдот број 7 од презентацијата со име Оператори на ниво на пиксели во слика). Функцијата како влезени аргументи треба да има слика над која ќе се направи трансформацијата и параметарот C.
'''
import cv2
import math
def range_compression(img, c):
m, n = im... |
#Exercise 1
# n = 1
# while n < 101:
# print(n*(n+1)/2)
# n += 1
#Exercise 2 Given a number, print its factors.
#Exercise 3
# name = "" #empty string is giving an empty value here, b/c variables must be given a value
# while name != "clint":
# name = input("please say your name is... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-08-31 20:29
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('catalogues', '0017_auto_20170831_2304'),
]
operations = [
migrations.RemoveField(
... |
from selenium import webdriver
from time import sleep
# import xlrd
import random
import os
import time
import sys
sys.path.append("..")
# import email_imap as imap
# import json
import re
# from urllib import request, parse
from selenium.webdriver.support.ui import Select
# import base64
import Chrome_driver
import em... |
from wob_data_upload.handles.spark_handle import SparkCassandra
from cassandra.cluster import Cluster
from django.core.cache import cache
from unicodedata import normalize
from datetime import timedelta
import pandas as pd
import numpy as np
import time
import os
def getDevConnection():
cluster = Cluster([os.envir... |
# Generated by Django 2.0.5 on 2018-06-28 08:40
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import re
class Migration(migrations.Migration):
dependencies = [
('calculation', '0038_auto_20180628_0714'),
]
operations = [
migratio... |
import os
import pathlib
from setuptools import setup, find_packages
# Package meta-data.
NAME = "greenponik-sht40"
DESCRIPTION = "Read SHT40 through Python3 on raspberry pi"
URL = "https://github.com/GreenPonik/GreenPonik_SHT40"
EMAIL = "contact@greenponik.com"
AUTHOR = "GreenPonik SAS"
REQUIRES_PYTHON = ">... |
# -*- coding: utf-8 -*-
class Solution:
def licenseKeyFormatting(self, S, K):
S = S.upper()
S = "".join(S.split("-"))
S = S[::-1]
parts = [S[i : i + K] for i in range(0, len(S), K)]
return "-".join(parts)[::-1]
if __name__ == "__main__":
solution = Solution()
as... |
import numpy as np
import sys
input_file_path = "in.txt"
output_file_path = "out.txt"
class TempMatrix:
def initializeElements(self):
return np.zeros((self.rows, self.columns))
def __init__(self, rows, columns):
self.rows = rows
self.columns = columns
self.elements = self.in... |
__author__ = "Narwhale"
import socket
sk = socket.socket()
sk.bind(("localhost",8080))
sk.listen()
conn,address = sk.accept()
conn.sendall(bytes("Hello world",encoding="utf-8")) |
"""
Model objects for images.
"""
from __future__ import absolute_import, division, unicode_literals
import attr
from json import dumps
from mimic.model.rackspace_images import OnMetalImage
from mimic.model.nova_objects import not_found
from mimic.canned_responses.mimic_presets import get_presets
@attr.s
class Reg... |
import pandas as pd
import os
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.formula.api as smf
def get_data_Rmagic():
path_data = "../data/ReplicationDataset_ThePriceofForcedAttendance.dta"
df = pd.read_stata(path_data)
df["grade"] = df["grade"].astype(float)
### Treatment v... |
# Crea un archivo de Python llamado for_loop_basic1.py que realice las siguientes tareas.
# Básico : imprime todos los enteros del 0 al 150.
for x in range(151):
print(x)
# Múltiplos de cinco : imprime todos los múltiplos de 5 de 5 a 1,000
for x in range(5,1001,5):
print(x)
# Contar, Dojo Way - imprime e... |
# Write a Python program to create a list of empty dictionaries
def createEmptyDict(n):
listEmptyDict = []
for i in range(n):
new_dict = dict()
listEmptyDict.append(new_dict)
return listEmptyDict
n = int(input("Please enter the number of empty dict you want to create :"))
output = createEm... |
# @Author : bamtercelboo
# @Datetime : 2018/07/19 22:35
# @File : model_CNN.py
# @Last Modify Time : 2018/07/19 22:35
# @Contact : bamtercelboo@{gmail.com, 163.com}
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
import random
im... |
def is_balanced(s, pairs):
closing_chars = []
pair_dict = dict(zip(pairs[::2], pairs[1::2]))
keys = set(pair_dict.iterkeys())
values = set(pair_dict.itervalues())
for a in s:
in_keys = a in keys
in_values = a in values
if in_keys and in_values:
try:
... |
import tensorflow as tf
import tensorflow.contrib.slim as slim
import sys
sys.path.append('/home/oushu/lixingyu/git_repo/attention_OCR')
from tensorflow.contrib import rnn
from models import cnn_basenet
from config.global_config import CFG
import numpy as np
class ShadowNet(cnn_basenet.CNNBaseModel):
def __init... |
import json
import requests
from urllib.request import urlopen
'''
def get_json(url):
with urlopen(url) as json_file:
json_data = json.loads(json_file.read())
return json_data
'''
def get_json(url):
response = requests.get(url)
return json.loads(response.content.decode('utf-8'))
|
import minimalmodbus
import serial
import pandas as pd
import time
import random
# Special Functions Registers. Parameters registers range from 0 - 4095
# Read Only: indicates the total number of parameters
TOTAL_NUMBER_OF_PARAM = 4097
# Read Only: indicates the state of the inverter (on/off, cw/ccw, etc.)
STATE = 41... |
def computepay(h,r):
if (h <= 40):
return h * r
if (h > 40):
return 40 * r + (h - 40) * 1.5 * r
hrs = input("Enter Hours:")
h = float(hrs)
rate = input("Enter Rate per hour:")
r = float(rate)
pay = computepay(h,r)
print(pay)
|
from flask import Flask, render_template
from flask_bootstrap import Bootstrap
app = Flask(__name__)
bootstrap = Bootstrap(app)
@app.route('/')
def index():
title = 'Flask test'
return render_template('index.html', title=title)
if __name__ == '__main__':
app.run(debug=True, host='0.0.0.0') |
class MaxHeap:
def __init__(self, data, attr):
self.__data = data
self.__attr = attr
self.__build()
def __build(self):
n = (len(self.__data) // 2) - 1
for i in range(n, -1, -1):
self.__heapify(i, len(self.__data))
def __heapify(self, parent_index, n):
... |
"""Treadmill application environment.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
if os.name == 'nt':
from ._windows import WindowsAppEnvironment as AppEnvironment
else:
from ._linux import ... |
import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator)
import numpy as np
import csv
from scipy.integrate import odeint
beginYear = 2011
endYear = 2018
endYearSim = 2025
scale = 100000
def f(p0, t, consta, constb, beta):
p = p0
d_i = consta[4]-consta[8]
d_t = consta[... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2020-04-14 20:18:22
# @Author : Fallen (xdd043@qq.com)
# @Link : https://github.com/fallencrasher/python-learning
# @Version : $Id$
_id = (id for id in range(1,100000))
print(next(_id))
print(next(_id)) |
"""
Train and Evaluation Script of Combined Model AutoEncoder and Classifier.
These are trained separatly.
"""
import numpy as np
import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import matplotl... |
# -*- coding: utf-8 -*-
#############################################################################
# Copyright Vlad Popovici <popovici@bioxlab.org>
#
# 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 ... |
# coding=utf-8
#####################################
# Imports
#####################################
# Python native imports
from PyQt5 import QtCore, QtWidgets, QtGui
import logging
import rospy
from rover_arm.msg import ArmStatusMessage
from rover_control.msg import GripperStatusMessage
############################... |
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