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# Python __slots__：限制类实例动态添加属性和方法
# 前面介绍了为对象动态添加方法，但是所添加的方法只是对当前对象有效，如果希望为所有实例都添加方法，则可通过为类添加方法来实现。
from types import MethodType
class Cat:
def __init__(self, name):
self.name = name
def walk_func(self):
print('%s慢慢地走过一片草地' % self.name)
d1 = Cat('Garfield')
d2 = Cat('Kitty')
# d1.walk() # Attribut... |
from bs4 import BeautifulSoup
import urllib3
from urllib.parse import urljoin
import csv
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
http = urllib3.PoolManager()
arquivo = 'ceesc.csv'
conselho = 'ceesc'
##########################################################################################... |
# author: weicai ye
# email: yeweicai@zju.edu.cn
# datetime: 2020/7/27 下午2:25
# 一个已排序好的表 A，其包含 1 和其他一些素数. 当列表中的每一个 p<q 时，我们可以构造一个分数 p/q 。
#
# 那么第 k 个最小的分数是多少呢? 以整数数组的形式返回你的答案, 这里 answer[0] = p 且 answer[1] = q.
#
# 示例:
# 输入: A = [1, 2, 3, 5], K = 3
# 输出: [2, 5]
# 解释:
# 已构造好的分数,排序后如下所示:
# 1/5, 1/3, 2/5, 1/2, 3/5, 2/3... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
'''
Created on Fri Mar 10 15:48:51 2017
@author: heitor
'''
from netpyne import sim, specs
import numpy as np
from matplotlib import pyplot as plt
from DetectPA import getSpikes
numCells = 1
netParams = specs.NetParams()
simConfig = specs.SimConfig()
netParams.popParam... |
import random
lives = 9
words = ['shirt', 'human', 'fairy', 'teeth', 'otter', 'plane', 'eight', 'pizza', 'lives']
secret_word = random.choice(words)
clue = list('?????')
heart_symbol = u'\u2764'
guessed_word_correctly = False
def update_clue(guessed_letter, secret_word, clue):
index = 0
for char in secret_wor... |
import json
from datetime import datetime
from tempfile import NamedTemporaryFile
from airflow.hooks.S3_hook import S3Hook
from airflow.models import BaseOperator
from google_analytics_plugin.hooks.google_analytics_hook import GoogleAnalyticsHook
class GoogleAnalyticsReportingToS3Operator(BaseOperator):
"""
... |
import csv
"""
CONVERT DATA FROM API TO PROPHET FORMAT
"""
path = './Parking_Lot_Counts.csv'
f = open(path)
lines = f.readlines()
print("Done reading file")
with open('./libraryparking_everyhalfhour_today.txt','w') as fil:
numberOfLines = 0
writeToFile = False
#file_writer = csv.writer(fil, delimiter=',', quo... |
import pygame
import GraphicSprite
class Wall(GraphicSprite.GraphicSprite):
image = ""
tilex = 0
tiley = 0
x = 0
y = 0
width = 0
height = 0
def __init__(self,image, x, y, width, height):
pygame.sprite.Sprite.__init__(self)
self.image = "sprites/wall/" + image
... |
import math
class Pewma:
def __init__(self, p_d_init, p_alpha, p_beta):
self.p_d_init = p_d_init
self.p_alpha = p_alpha
self.p_beta = p_beta
self.count = 0
self.est_var = float('nan')
self.est_mean = float('nan')
self.s1 = 0
self.s2 = 0
... |
# -*- coding: utf-8 -*-
'''
创建一个People 类，People 的属性有name 和age，两个参数在实例化的时候传给构造器，People 类的方法有getName 和getAge，分别返回姓名和年龄。
程序输入（用一个空格分开）：姓名 年龄
程序输出：同输入
'''
ins = input().split(' ')
name, age = ins[0], int(ins[1])
class People:
# 请在这里编写代码
# 构造方法
def __init__ (self, name, age):
self.name = name
... |
from django.contrib import admin
# Register your models here.
from .models import Service , Category , ServiceImages
admin.site.register(Service)
admin.site.register(Category)
admin.site.register(ServiceImages)
|
from unittest import TestCase
from ..highest_value_palindrome import HighestValuePalindrome
class TestHighestValuePalindrome(TestCase):
def test_solution(self):
inp = ''
output = ''
with open('strings\\medium\\tests\\test_cases' +
'\\tc10_highest_value_palindrome.txt') ... |
#!/usr/bin/env python3
# HW08_ch11_ex02d.py
# (1) Write a more concise version of invert_dict_old.
# (2) Paste in your completed functions from HW08_ch11_ex02a.py
# (3) Update print_hist_new from HW08_ch11_ex02b.py to be able to print
# a sorted version of the dict (print key/value pairs from 0 through the
# largest ... |
"""
Approach: since you cannot delete the current node, delete the next node.
TC: O(1)
SC: O(1)
"""
class Solution:
#Function to delete a node without any reference to head pointer.
def deleteNode(self,curr_node):
#code here
if curr_node.next:
curr_node.data = curr_node.next.data
... |
__author__ = 'Ian'
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import os
import pandas as pd
import numpy as np
from sklearn.metrics import accuracy_score
from Data.scripts.data import data
from pandas.tools.plotting import autocorrelation_plot
def run_strategy(Y_pred, Returns_df):
#make ne... |
#! /usr/bin/env python
#@author: Emre Havazli
import os
import sys
import glob
import h5py
from numpy import *
from operator import itemgetter
import collections
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
def main(argv):
try:
directory = argv[1... |
#coding=utf-8
from selenium import webdriver
import time
import os
import progressbar
from dannyTumblr.DataBase import Mysql_data
class Log:
def __init__(self):
self.mysqldata = Mysql_data()
def Login_progressbar(self,sec):
bar = progressbar.ProgressBar(max_value=sec, widgets=['►►',progressb... |
#!/usr/bin/env python3
red = '\033[0;31m'
yellow = '\033[0;33m'
orange = '\033[1;31m'
magenta = '\033[0;35m'
print(orange + 'hello, what is your name?')
name = input(red + '> ' + magenta + ' ')
print(yellow + 'hello, ' + magenta + name)
|
'''
University of Santo Tomas
Faculty of Engineering
Electronics Engineering Department
First Term, AY 2019-2020
Machine Problem
ECE2112: Advanced Computer Programming and Algorithms
Marvin Dale Wong & Aaron Vincent Zabala
2ECE-A
Given a certain set of experimental points (xi, yi), regardless of how many,
the progr... |
import random
def maxi(a,i,b,j):
return (a,i) if a>b else (b,j)
def mini(a,i,b,j):
return (a,i) if a<b else (b,j)
def maxseq(a):
if len(a) <= 1:
return 0
d = 0
m, M, mi, Mi, le = a[0], a[0], 0, 0, a[0]
A = []
t = 1
for i,e in enumerate(a):
if e == le:
... |
"Intermediate AST representation used by other parts of the project."
import ast
class Var(ast.AST):
_fields = ["id", "type"]
def __init__(self, id, type=None):
self.id = id
self.type = type
class Assign(ast.AST):
_fields = ["ref", "val", "type"]
def __init__(self, ref, val, type=N... |
import logging
import re
import os
from os.path import sep
import matlab2cpp
from . import m2cpp
import matlab2cpp.pyplot
from . import reference
def flatten(node, ordered=False, reverse=False, inverse=False):
"""
Backend for the :py:func:`~matlab2cpp.Node.flatten` function.
Args:
node (Node): Root node to ... |
import os
from math import gcd
from functools import reduce
def f(n, p, w, d):
if n * w < p:
return -1
GCD = reduce(gcd, [n, p, w, d])
n //= GCD
p //= GCD
w //= GCD
d //= GCD
z_min = int(n - p / d) - 1
z_min = z_min if z_min > 0 else 0
for z in range(z_min, n + 1):
... |
from tkinter import *
from functools import partial # Prevent unwanted windows
import csv
import re
import random
class Start:
def __init__(self, partner, ):
# Start GUI
self.start_frame = Frame(padx=10, pady=10, bg="#D4E1F5")
self.start_frame.grid()
# background
backgrou... |
from unittest import TestCase
from src.socketserve import deserialise
class test_deseraliser(TestCase):
def setUp(self) -> None:
pass
def test_valid_string(self):
expected_string = """
{
"throttle":5.2321,
"yaw":44.44332,
"pitch":44.321,
... |
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 14 11:24:17 2019
将轨迹数据填充到轨迹网格中，但是每个用户的网格规模是（512*401*4），将一天划分为4个时间段，所以每个人的channel为4
@author: Administrator
"""
import pandas as pd
import numpy as np
from tqdm import tqdm
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
fr... |
from jira import JIRA
import os
from os.path import join, dirname
from dotenv import load_dotenv
class JiraConnector(object):
"""SendGrid GitHub Issues & Pull Requests"""
def __init__(self, **opts):
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
self._userna... |
import pamqp
from pamqp.specification import Basic
from pamqp.specification import Exchange
from pamqp.specification import Queue
from aiormq.types import ConfirmationFrameType
class EmitACK:
'''The producer frame confirmation class.
'''
def __init__(self, confirmation: ConfirmationFrameType):
s... |
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
from django.urls import reverse
from django.utils.decorators import method_decorator
from django.views.generic import UpdateVi... |
from typing import List
class Solution:
def partition(self, s: str) -> List[List[str]]:
self.Palindrome = lambda s: s == s[::-1]
res = []
self.helper(s, res, [])
return res
def helper(self, s, res, path):
if not s:
res.append(path)
return
... |
#! /usr/bin/env python
import cv2
import time
import cv_bridge
import rospy
import numpy as np
from matplotlib import pyplot as plt
from scipy import signal, ndimage
from sensor_msgs.msg import Image
global imL
global imR
### Vecorized implementation using Numpy Library ###
class DisparityMap():
def __in... |
from django.urls import path
from . import views
app_name = 'newsletter'
urlpatterns = [
path('new/', views.new, name='new'),
path('confirm/', views.confirm, name='confirm'),
path('delete/', views.delete, name='delete'),
] |
import numpy as np
import math
from newtonPoly import *
xData = np.array([0.15,2.3,3.15,4.85,6.25,7.95])
yData = np.array([4.79867,4.49013,4.2243,3.47313,2.66674,1.51909])
a = coeffts(xData,yData)
print(" x yInterp yExact")
print("-----------------------")
for x in np.arange(0.0,8.1,0.5):
y = evalPoly(a, xData, x)... |
import numpy as np
import pandas as pd
from sklearn.neural_network import MLPClassifier
from sklearn.cross_validation import train_test_split
from sklearn import svm
import string
targetNums = list(range(1,27)) * 1000
letter2NumMap = dict(zip(string.ascii_lowercase,targetNums))
num2LetterMap = dict(zip(targetNums,str... |
"""Forecast Controller Module"""
__docformat__ = "numpy"
# pylint: disable=C0302,too-many-branches,too-many-arguments,R0904,R0902,W0707
# flake8: noqa
# IMPORT STANDARD
import argparse
import logging
from typing import Any, Dict, List, Optional
# IMPORT THIRDPARTY
import pandas as pd
import psutil
try:
import d... |
import sys
import json
import time
import Game
import pprint
def makeData(fname):
"""
Input should be a json file
"""
with open(fname, 'r') as jFile:
data = json.load(jFile)
roles = []
players = {}
strategies = {}
for item in data['roles']:
roles.append(item['name'])
players[item['name']] = item['cou... |
import pickle
import statistics
import math
import routine_mlm as helper
import os
import sys, getopt
#get seed arg from command line here
seed = helper.command_line_seed(sys.argv[1:])
result_objs = []
for i in range(5):
with open(f"out/out_mlm_results/results_{seed}_{i}.pkl", "rb") as file:
resu... |
import argparse
import csv
import os
import pymongo
import sys
def feature_id_extract(feature):
feature_parts = feature.split(":")
source = feature_parts[1].lower()
if "chr" in feature_parts[3]:
start = feature_parts[4]
end = feature_parts[5]
if not start:
... |
# Generated by Django 2.1.4 on 2019-01-31 08:04
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='bar',
fields=[
... |
# Stanley H.I. Lio
# hlio@hawaii.edu
# All Rights Reserved. 2018
# University of Hawaii
import re, logging
logger = logging.getLogger(__name__)
def parse_4319a(line):
msgfield = ['SN', 'Conductivity', 'Temperature', 'Salinity', 'Density', 'Soundspeed']
convf = [int, float, float, float, float, float]
co... |
# send.py
from kombu import Connection
from kombu.messaging import Producer
from entity import task_exchange
from kombu.transport.base import Message
connection = Connection('amqp://guest:guest@10.120.120.11:5672//')
channel = connection.channel()
message=Message(channel,body='Hello Kombu')
# produce
producer = Pro... |
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PrivateKey, X25519PublicKey
from .. import diffie_hellman_ratchet
__all__ = [ # pylint: disable=unused-variable
"DiffieHellmanRatchet"
]
class DiffieHellmanRatchet(diffie_hellman_ratchet... |
import pandas as pd
from constants.dataset import TARGETVAR
from sklearn.decomposition import PCA
import seaborn as sns
import matplotlib.pyplot as plt
def pca_plot_train_test(train: pd.DataFrame, test: pd.DataFrame, **lmplot_args):
assert len(train.columns) == len(test.columns)
train_test = pd.concat([train,... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/1/8 11:36
# @Author : liuhuiling
import requests
r = requests.get("https://api.github.com/user",auth = ("user","pass"))
print(r.status_code)
print(r.headers['content-type'])
print(r.encoding)
print(r.text)
|
print("""\
Program that asks the user for a number n and gives him the possibility to choose between computing the sum and computing the product of 1,...,n.
Created By Keyvin Duque <thkeyduq@gmail.com>
""")
n = int(input('Ingrese un numero: '))
choice = input('Desea usted realizar la suma o la multiplicacion de sus el... |
import memory
import numpy as np
import torch
from torch.autograd import Variable
import lp
BUFFER_SIZE = 100
MAX_CARS = 3
MAX_REQUEST = 3
class Env():
def __init__(self, locations, actor):
self.locations = locations
self.grid_size = (locations, locations)
self.buffer = memory.Replay(b... |
from flask import Blueprint, g, redirect, url_for, render_template, session
from backend.models import User
user_bp = Blueprint("user", __name__, url_prefix="/user")
@user_bp.before_request
def check_login():
user = session.get("userId")
if user:
user = User.query.filter_by(account=user).fi... |
import sys
from PIL import Image
def encode(visible_image,hidden_image,output_file):
# create an output image of the same size as the visible image
output_image = Image.new('RGB',(visible_image.width,visible_image.height))
# this array will store the rgb values of the encoded file
pixels = []
w = hidden_image.wi... |
import torch
def mre(pred, gt):
'''
gt : ground truth depth
pred: predicted depth
shape: (N, H, W)
'''
N = pred.shape[0]
loss = 0
for i in range(N):
loss += torch.sum(torch.div(torch.abs(gt[i] - pred[i]),
torch.sum(gt[i])))
return loss /... |
from django.shortcuts import render
from django.views import View
from django.http import HttpResponseRedirect, HttpResponse
from .models import Product, Order, Locality, Client, Backup_copy, User
from .forms import FormProduct, FormOrder, FormUser, FormClient, FormBackup_copy, FormLocality
def logout(request):
r... |
# -------------abstract base class------------------------
from abc import ABC, abstractmethod
class A(ABC): # This is abstract base class
@abstractmethod
def imp_fun(self): # this is abstract method
return 0
class B(A): # this class is inheriting A so it should override abs_method
... |
# 修改，添加和删除元素
motorcycles = ['honda', 'yamaha', 'suzuki', 'ducati']
print(motorcycles)
# ['honda', 'yamaha', 'suzuki', 'ducati']
too_expensive = 'ducati'
motorcycles.remove(too_expensive)
print(motorcycles)
# ['honda', 'yamaha', 'suzuki']
print("\nA " + too_expensive.title() + " is too expensive for me.")
# A Ducati i... |
from sklearn import metrics
import matplotlib.pyplot as plt
import numpy as np
import ipywidgets
from sklearn.metrics import roc_curve, auc, roc_auc_score
from sklearn.metrics import confusion_matrix, precision_score, recall_score
import pandas as pd
# This is a function which prints selected metrics for a pre... |
from allennlp.predictors import SentenceTaggerPredictor, SimpleSeq2SeqPredictor
from languages_predictors import universal_eng_pos_predictor
key_to_predictors = {
'debug': SentenceTaggerPredictor,
'ud-eng': universal_eng_pos_predictor.UniversalEngPosPredictor,
'nc_zhen': SimpleSeq2SeqPredictor
}
predict_logits... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class ZhimaCustomerBehaviorSyncResponse(AlipayResponse):
def __init__(self):
super(ZhimaCustomerBehaviorSyncResponse, self).__init__()
self._contract_no = None
self... |
__author__ = 'smileya'
import requests
import urllib
import HTMLParser
import cgi
from xml.etree import ElementTree
from xml.etree.ElementTree import Element
from xml.etree.ElementTree import SubElement
def fetch_translation(english_text):
# key=trnsl.1.1.20150911T175348Z.9da4e8f8a4e6a6b4.c6451ebd664034a0ae11e170a... |
import argparse
import datetime
import boto3
from botocore.stub import Stubber
import unittest
from unittest import mock
from aws_dms_task_status_exporter.aws import get_status_replication_tasks
class TestAwsModule(unittest.TestCase):
_mocked_conf_file = {
"region": "us-east-1",
"replication-task-... |
'''
for 문 돌면서 X찾고 주면에 .이 3개 이상이면 후보에 추가
후보들을 돌면서 .으로 바꿔줌.
'''
R, C = map(int, input().split())
Map = []
for _ in range(R):
Map.append(list(input()))
dx = [0, 0, 1, -1]
dy = [-1, 1, 0, 0]
cd = []
for i in range(R):
for j in range(C):
if Map[i][j] == 'X':
cnt = 0
for k in range... |
__author__ = 'Alexey Bright'
from parsing.iced_token import IcedToken
from pyced.locator import Locator
class LocatorToken(IcedToken):
""" Represents a locator token """
def __init__(self, number):
self.__locants = [number]
#TODO replace create methods by recursive constructor
# -------... |
from __future__ import annotations # Really?
from typing import Dict, List, Optional
from interface import Action, Assignment1Domain, State
class Policy:
'''
This class implements a policy,
i.e., a mapping from states to actions.
Given a policy pol, the value of state s can be accessed and modified vi... |
from bs4 import BeautifulSoup
import math
import json
#from dynaconf import settings as Config
from spider.config.settings import Config
from spider.tools.logtools import Logger
from spider.tools.commontools import getUUID, Timer
from spider.tools.webtools import myGetRequest
from spider.tools.mqtools import rabbitmqCo... |
"""
Solution for 7. Reverse Integer
https://leetcode.com/problems/reverse-integer/
"""
class Solution:
"""
Runtime: 40 ms, faster than 99.91% of Python3 online submissions for Reverse Integer.
Memory Usage: 13.2 MB, less than 5.71% of Python3 online submissions for Reverse Integer.
"""
def reverse(... |
from __future__ import print_function
import os
from setuptools import setup, find_packages
import punctuator
CURRENT_DIR = os.path.abspath(os.path.dirname(__file__))
try:
with open(os.path.join(CURRENT_DIR, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
except TypeError:
with ope... |
import os
from unittest.mock import MagicMock
import pytest
os.environ["LOG_LEVEL"] = "DEBUG"
@pytest.fixture(scope='function')
def mocked_shows_db():
import shows_db
shows_db.table = MagicMock()
shows_db.client = MagicMock()
return shows_db
@pytest.fixture(scope='function')
def mocked_episodes_d... |
# This code is mostly based on Matthieu Courbariaux's
# Binary Neural Network code, accessable from:
# https://github.com/MatthieuCourbariaux/BinaryNet
# Jintao has modify the code so it is able to implemented on-chip.
from __future__ import print_function
import sys
import os
import time
import numpy as np
np.rand... |
import pytest
from project.servers.database import curd, db_models
from project.servers.database.database import SessionLocal, engine
db_models.Base.metadata.create_all(bind=engine)
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()
def test_user():
with SessionLoc... |
import time
from appium import webdriver
from appium.webdriver.common.touch_action import TouchAction
from selenium.webdriver.common.by import By
from utils import get_element, input_text, execute_swipe, element_is_exsit, get_toast
des_cap = {
"platformName" : "android" , #表示的是android 或者ios
"platformVersion" : "5... |
def test_provisionPackage():
from data_provisioning.src.core.core import processRequest
resources = setup()
parameters = {}
parameters['msisdn'] = '254734091540'
parameters['transactionId'] = '11'
parameters['packageId'] = '12'
resources['parameters'] = parameters
resources = processRequ... |
from PyQt5.QtWidgets import QDockWidget, QLabel, QListWidget, QListWidgetItem, QWidget
from PyQt5.QtCore import pyqtSignal, pyqtSlot
from widgets import DownloadProgress
class ProgressDock(QDockWidget):
"""
Progress dock widget which holds a list of progress items
"""
_placeholder = 'No download in pr... |
from notifier.provider import Provider
class PrintNotify(Provider):
def notify(self):
if self.subject is not None:
print('[{}]'.format(self.subject), end='')
print()
print()
print(self.text, end='')
|
class ArticleDBRouter(object):
def db_for_read(self, model, **hints):
if getattr(model, 'is_articleDB', False):
return 'articledb'
else:
return None
def db_for_write(self, model, **hints):
if getattr(model, 'is_articleDB', False):
return 'articledb'
... |
n = int(input())
while n>1:
print(n, end = ' ')
if n%2:
n*=3
n+=1
else:
n//=2
print(n) |
#
# @lc app=leetcode id=207 lang=python3
#
# [207] Course Schedule
#
# @lc code=start
class Solution:
def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
graph = [[] for _ in range(numCourses)]
visit = [0 for _ in range(numCourses)]
#1 visisted, -1 visiting
... |
import json
import os
from datahub.ingestion.source.usage.bigquery_usage import BigQueryUsageConfig
def test_bigquery_uri_with_credential():
expected_credential_json = {
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"auth_uri": "https://accounts.google.com/o/oauth2... |
from eclcli.common import command
from eclcli.common import utils
from ..networkclient.common import utils as to_obj
class ListPort(command.Lister):
def get_parser(self, prog_name):
parser = super(ListPort, self).get_parser(prog_name)
return parser
def take_action(self, parsed_args):
... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^register$', views.register),
url(r'^register_form$', views.register_form),
url(r'^login$', views.login),
url(r'^logout$', views.logout),
url(r'^logged$', views.logged),
url(r'^create_course... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 13 13:27:31 2018
@author: olli
"""
ika = int(input('Kuinka vanha olet? '))
if ika >= 0 and ika <= 120:
print('OK')
else:
print('Mahdotonta!')
|
#-------------------------------------------------------------------------------
# Name: 126
# Purpose:
#
# Author: uwi http://wonderfl.net/c/cC40
#
from time import clock
def solve(M):
ct = [0]*(M // 2)
dsup = int(((M - 1) / 2)**.5)
for d in range(dsup+1):
p = 2 * d * ... |
class Solution:
def reverse(self, x: int) -> int:
new=str(x)
if x<0:
new[0]=="-"
new=new.replace("-",'')
new="-"+new[::-1]
a=int(new)
if a >= -2147483648 and a<= 2147483647:
return a
else:
... |
import pandas as pd
import matplotlib.pyplot as plt
import pytemperature
#import wget
#wget.download("https://raw.githubusercontent.com/pesikj/python-012021/master/zadani/5/temperature.csv")
teploty = pd.read_csv("temperature.csv", index_col="Day")
teploty = teploty.rename(columns={"Unnamed: 0": "id", "AvgTemperature"... |
from numpy import *
matriz = array([
[0,0,0,0,0],
[0,0,1,0,0],
[0,1,1,0,0],
[0,0,0,0,0],
[0,0,0,0,0]
])
coordenadas={
"x" : [],
"y" : []
}
area_mapa = len(matriz)-1
def GameOfLife(numero):
"""Funcion que Recibe un numero y modifica la matriz cada turno
Arguments:
numero int... |
year = int(input("Enter Year :"))
if (year%400==0):
print("Leap Year")
elif (year%100==0):
print("not Leap Year")
elif (year%4 ==0):
print("Leap Year")
else:
print("Not Leap Year")
|
"""To use this script, install the provided requirements.txt file and
supply a secrets.py file with the required parameters listed below.
JSON records will be written into the specified file and HTML reports
will be written into an outputs filter under the provided directory.
"""
from datetime import datetime, timed... |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 27 16:07:46 2020
@author: tjcombs
https://projecteuler.net/problem=119
"""
import pandas as pd
import numpy as np
def sum_up_digits(ser):
sum_digits = 0
while((ser > 0).any()):
digit = ser % 10
sum_digits = sum_digits + digit
ser = ... |
if __name__ == "__main__":
pandigital = []
for p in range(1,10**6):
digits = list(str(p))
i = 2
while len(digits) < 10:
if '0' in digits:
break
if len(digits) == 9 and len(digits) == len(set(digits)):
pandigital.append(int(''.join(d... |
from tkinter import *
import os
framevar = ''
id_meta = 0
id_parcela = 0
def nova_meta():
def salvar_entradas():
global id_meta
try:
with open('metas.txt', 'r') as arquivo_meta:
linhas = arquivo_meta.readlines()
ids_meta = len(linhas)
... |
# Uses Euclidean Algorithm to calculated the GCD of 2 numbers
def gcd(x, y):
a = max(x,y)
b = min(x,y)
rem = a % b
if rem == 0:
return b
else:
gcd(b, rem)
|
# -*- coding: utf-8 -*-
import string
import random
import datetime
import requests
def random_string(size=32):
chars = string.ascii_uppercase + string.digits
return ''.join(random.choice(chars) for __ in range(size))
def localized_date(datetime):
year = datetime.year
month = datetime.month
day ... |
import pandas as pd
import numpy as np
import sys
from sklearn.preprocessing import MinMaxScaler
from sklearn.ensemble import RandomForestRegressor
from sklearn.svm import SVR
from sklearn.linear_model import SGDRegressor
from sklearn.neighbors import KNeighborsRegressor
from sklearn.gaussian_process import GaussianPro... |
import pymongo
from datetime import datetime
import json
import time
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["youtube"]
mycol = mydb["videos"]
mylist = []
with open('a.json') as f:
json_from_file = json.load(f)
cnt = 1
data_cnt = 0
s = time.time()
for i in json_from_file['v... |
# Generated by Django 3.0.5 on 2020-04-12 13:47
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='user_form',
fields=[
('id', models.AutoFiel... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2012 Leopold Schabel
# This file is part of MetaWatch Simulator.
#
# This software is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation, eith... |
import time
import h5py
import tensorflow as tf
from tensorflow.keras.callbacks import TensorBoard
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.models import Model
try:
from tqdm import tqdm
except ImportError:
tqdm = lambda x, **kwargs: x
from tf_fastmri_data.datasets.cartesian import Car... |
#!/usr/bin/env python
from rpc_client import TestingRpcClient
from os import listdir
test_rpc = TestingRpcClient()
def compile_verilog_test():
response = test_rpc.call('compile_verilog.compile_to_vvp("batee5.v", "batee5_tb.v")')
print response
assert eval(response) == [] |
#-----------------------------------------------------------------------------
# This file is part of 'SLAC Firmware Standard Library'.
# It is subject to the license terms in the LICENSE.txt file found in the
# top-level directory of this distribution and at:
# https://confluence.slac.stanford.edu/display/ppareg/LI... |
#!usr/bin/python
# -*- coding: utf-8 -*-
from collections import defaultdict
class DirectedGraph:
"""
DirectedGraph class: Define a Directed Graph, containing a list with all unique node in the graph and all Node (object).
Argument:
---------
- node_id (str): id of the first (top) node
"""... |
import os
from pymongo import MongoClient
MONGO_DATABASE_URL: str = os.getenv("MONGO_DATABASE_URL")
mongoclient = MongoClient(
MONGO_DATABASE_URL,
uuidRepresentation='standard'
)
|
a={"message": [
{
'id':1,
'Rfid':'asdasdas',
'name':'ming',
'state':'1',
'time':'time'
},
{
'id':2,
'Rfid':
'asdasdas',
'name':'wang',
'state':'1',
'time':'time'
}
]}
print(type(a)) |
import sqlite3
import wptools
def conv(num):
try:
if num[1]=="trillion":
return float(num[0])*1000000000000
elif num[1]=="billon":
return float(num[0])*1000000000
elif num[1]=="million":
return float(num[0])*1000000
elif num[1]=="thousand":
return float(num[0])*1000
... |
import openpyxl
for i in range(1, 13):
filePath = f"2019年{i}月销售订单.xlsx"
wb = openpyxl.load_workbook(filePath, data_only=True)
orderSheet = wb["销售订单数据"]
for rowData in orderSheet.rows:
productName = rowData[2].value
if productName == "商品名":
continue
rowValue = []
... |
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