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import re print('a\tb') p=r'\d+' text='35 my lucky number is 35' match=re.match(p,text) print(match.group(0),match.start()) # match used to find only start of the string # -------------------------------------------------------------------- p=r'\d+' text=' my lucky number is 35 and 35' match=re.search(p,tex...
def add_tip(total, tip_percent): '''Return the total amount including tip''' tip = tip_percent*total return total + tip def mean(a,b,c): return (a+b+c)/3. def hyp(leg1, leg2): return (leg1**2 + leg2**2)**0.5 def perimeter(base, height): return 2*base+2*height #1.3.2 Function Test print add_tip...
import FWCore.ParameterSet.Config as cms from IOMC.EventVertexGenerators.VtxSmearedParameters_cfi import Early10TeVX322Y100VtxSmearingParameters,VtxSmearedCommon VtxSmeared = cms.EDProducer("BetafuncEvtVtxGenerator", Early10TeVX322Y100VtxSmearingParameters, VtxSmearedCommon )
__author__ = 'ArkJzzz (arkjzzz@gmail.com)' import json import logging import textwrap from telegram import InlineKeyboardButton from telegram_bot_pagination import InlineKeyboardPaginator logger = logging.getLogger('keyboards') start_keyboard = [ [ InlineKeyboardButton( text='Меню магазина...
import django_tables2 as tables from .models import Roadmap from issuelog.models import Issue """ create helper classes for django_tables2 to defined product Roadmap tables. the Roadmap table shows product release schedule and TopIssuesTable shows top features or bug fixes requested. """ class RoadmapTable(table...
from rest_framework.views import APIView from rest_framework.response import Response class HelloApiView(APIView): """Test API View""" def get(self, request, format=None): """Returns a list of API View features""" an_apiview = [ 'Uses HTTP methods as get post put delete', 'Is s...
import requests import json import sqlite3 as sql import time app_id = '741da96a' app_key = '5f83749620ab5b89b6a70e315e6616a9' language = 'en' word_id = 'destrier' url = 'https://od-api.oxforddictionaries.com:443/api/v1/entries/' + language + '/' + word_id.lower() + '/definitions' r = requests.get(url, headers = {'ap...
# -*- coding: utf-8 -*- """ Created on Wed Nov 25 20:56:00 2015 @author: Timber """ import json from supervisedRWfunc import * from loadData import * import sys from heapq import * from matplotlib import pyplot as plt from added_edge import * from dumpGraphJSON import * print "Reading data..." # load the sanpshots o...
from congress.etl.members import LegislatorsToDB import os from argparse import ArgumentParser def main(chamber, congress, get_all): legis = LegislatorsToDB() if get_all: legis.run_pipeline( {'house': [str(i) for i in range(102, 116)], 'senate': [str(i) for i in range(80, 116...
import asyncio import json import os import pwd import shutil from traitlets import Float, Unicode, Instance, default from traitlets.config import SingletonConfigurable from ..base import ClusterManager from ...utils import TaskPool __all__ = ("JobQueueClusterManager", "JobQueueStatusTracker") class JobQueueStatu...
import streamlit as st #import openpyxl as pxl def textFm(): st.subheader("Login Section") userName = st.sidebar.text_input("User Name") password = st.sidebar.text_input("password",type='password') ''' submissionButton = st.form_submit_button(label="Login") if submissionButton == True: ...
#!/usr/bin/env python import unittest import os from eulcore.binfile import eudora from testcore import main TEST_ROOT = os.path.dirname(__file__) def fixture(fname): return os.path.join(TEST_ROOT, 'fixtures', fname) class TestEudora(unittest.TestCase): def test_members(self): fname = fixture('In.to...
import math from itertools import combinations #m number of equations #arr is the coefficient matrix (list of lists) #e is the error #b is the value matrix # 4x+y+2z=2 # 3x-y+5z=0.5 arr=[[4,3],[1,-1],[2,5]] b=[2,0.5] m=2 e=0.001 def Solutions(arr, b,e): n=len(arr)#no. of variables m=len(arr[0])...
{ "id": "mgm4440434.3", "metadata": { "mgm4440434.3.metadata.json": { "format": "json", "provider": "metagenomics.anl.gov" } }, "providers": { "metagenomics.anl.gov": { "files": { "100.preprocess.info": { ...
from django.contrib.contenttypes.fields import (GenericForeignKey, GenericRelation) from django.contrib.contenttypes.models import ContentType from django.db import models from documents.models import Document class Approval(models.Model): """Approval exit criteria...
#! /usr/bin/env python2.5 from count import * print '' print '*** HOTSHOT output *** ' print '' import hotshot, hotshot.stats prof = hotshot.Profile('hotshot.prof') prof.runcall(count1) prof.runcall(count2) prof.close() stats = hotshot.stats.load('hotshot.prof') stats.sort_stats('time', 'calls') stats.print_stats(20...
# An implementation of Speck32/64 # params k = 16 alpha = 7 beta = 2 MOD = 2**k MASK = MOD - 1 ROUNDS = 22 def rol(x, y): assert 0 < y < k, "Can't shift by negative negative shifts" return ((x << y) & MASK) | (x >> (k - y)) def ror(x, y): assert 0 < y < k, "Can't shift by negative negative shifts" return r...
# -*- coding: UTF-8 -*- """ @author: WanZhiWen @file: adaboost.py @time: 2018-04-25 20:59 """ import numpy as np import matplotlib.pyplot as plt def loadDataSet1(): # 直接返回numpy矩阵 dataMat = np.matrix([[1., 2.1], [2., 1.1], [1.3, 1.], ...
import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data #using tensor flow helpers to get data from MNIST site #first param is the folder where the data will be stored #gets the digit in 'one-hot' format, kind of like binary but only one digit is 1. e.g 0 = 10000000000, 2 = 00100000000, 5 =...
import socket import signal import sys ClientSocket = socket.socket() host = '192.168.1.10' port = 8828 #CHANGE print('Waiting for connection') try: ClientSocket.connect((host, port)) except socket.error as e: print(str(e)) Response = ClientSocket.recv(1024) print(Response....
import numpy as np from ray.rllib.env import MultiAgentEnv from social_dilemmas.envs.matrix_agent import MatrixAgent class CoopMatrixEnv(MultiAgentEnv): def __init__(self, game, cooperation_level=0.5): self.num_agents = 3 self.agents = {} self.game = game self.setup_agents() ...
from .builder import ReportFileBuilder, BuildResult from .loader import ReportFileLoader, ReportFileLoaderError from .reportfile import ReportFile from .job import ReportJob, JobResult from .const import *
#!/usr/bin/env python # coding: utf-8 # In[62]: #!pip install psycopg2 import psycopg2 import pandas as pd import numpy as np import random import string from datetime import date def db_conn(): return psycopg2.connect("host=127.0.0.1 dbname=group18 user=postgres password=group18.ca") # Parameters num_of_reco...
#!/bin/python from functools import reduce from collections import defaultdict class TrieNode(object): def __init__(self, value = None): self.children = dict() self.value = value self.isTerminalNode = False def findChild(self, value): if value in self.children.keys(): ...
from __future__ import annotations from typing import TYPE_CHECKING, Any, NamedTuple, Sequence import boto3 if TYPE_CHECKING: from mypy_boto3_ec2.type_defs import DescribeImagesResultTypeDef, FilterTypeDef from typing_extensions import NotRequired, TypedDict import aec.util.tags as util_tags from aec.util.conf...
# -*- coding: utf-8 -*- import re import os from middleware.text_format import replace_special_chars_in_text import urllib import urllib2 import json __author__ = "fuiste" middleware_dir = os.path.dirname(__file__) parse_url = "http://distill-server.herokuapp.com/parse" # Old noun phrase extraction method. def ext...
#!/usr/bin/env python # coding: utf-8 # In[26]: """ Support vector Machine 2. For a given dataset predict number of bikes getting shared based on different parameters """ # In[43]: import numpy as np # import matplotlib.plotly as plt import matplotlib.pyplot as plt from matplotlib import pyplot as plt import...
import ipywidgets as widgets from traitlets import Unicode class VaultPassword(widgets.Password): ansible_kernel_property = Unicode('vault_password').tag(sync=True) class SSHPassword(widgets.Password): ansible_kernel_property = Unicode('ssh_password').tag(sync=True) class SSHPrivateKey(widgets.Password): ...
from zipfile import BadZipFile import pandas as pd import plotly.express as px from django.conf import settings from django.core.cache import cache from django.db import transaction from django.shortcuts import get_object_or_404 from rest_framework import exceptions, mixins, permissions, status, viewsets from rest_fra...
# In python 2.7 from __future__ import print_function import sys # import the Flask class from the flask module # from flask.ext.login import LoginManager from flask import (Flask, render_template, redirect, flash, url_for, request, session, make_response) # from flask_login import (login_required, l...
from random import seed from random import randrange from csv import reader from math import sqrt #load a csv file def load_csv(filename): dataset = list() with open(filename, 'r') as file: csv_reader = reader(file) for row in csv_reader: if not row: cont...
import numpy as np from matplotlib import cm import matplotlib.pyplot as plt from mpl_toolkits import mplot3d def get_color_map(label_num, cmap_name='terrain', normalzation=False): cmap = cm.get_cmap(cmap_name, label_num) cmap_array = np.array([cmap(i)[:3] for i in range(label_num)]) return cmap_array * 25...
class Solution(object): def maxSubArray(self, nums): """ :type nums: List[int] :rtype: int """ if nums==None or len(nums)==0: return None return self.helper(nums,0,len(nums)-1) def helper(self,nums,left,right): if left>=right: ...
class TrieNode: def __init__(self, val): self.children = dict() self.val = val self.end = False class WordDictionary: def __init__(self): """ Initialize your data structure here. """ self.head = TrieNode(None) def addWord(self, word): n...
from data.firestore import DatabaseController class User(DatabaseController): def __init__(self, name: str, authenticated: bool = False): super().__init__(data="users") user = self.get_data(name) self.profile = user self.username = name self.exists = user["exists"] ...
import geoip2.database reader = geoip2.database.Reader('./GeoLite2-City_20190423/GeoLite2-City.mmdb') response = reader.city('47.145.125.28') print(response.country.iso_code) # US print(response.subdivisions.most_specific.name) # Hawaii print(response.subdivisions.most_specific.iso_code) # HI print(response.city.n...
import os from .base_config import BaseConfig class DevConfig(BaseConfig): # Env settings FLASK_ENV = 'development' FLASK_DEBUG = True # Database settings SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(BaseConfig.BASE_DIR, 'devel.db') SQLALCHEMY_MIGRATE_REPO = os.path.join(BaseConfig.B...
from django.db import models from django.contrib.auth import get_user_model User = get_user_model() class Message(models.Model): content = models.TextField() timestamp = models.DateTimeField(auto_now_add=True) def get_last_10_msg(self): ''' Fetch last new 10 message ''' ...
import random def rollDice(): return random.randint(1,6) def main(n): d1=1 d2=n/2+1 count=0 while d1!=d2: r1=rollDice() r2=rollDice() if r1==6: if d1==n: d1=0 else: d1+=1 elif r1==6: if d1==0: ...
from typing import Tuple def get_direction(ball_angle: float) -> int: if ball_angle >= 345 or ball_angle <= 15: return 0 return -1 if ball_angle < 180 else 1 def getDirectionBy4(angle: float) -> int: if angle >= 345 or angle < 15: return 0 elif angle >= 15 and angle < 165: re...
import numpy as np import pandas as pd from sklearn.metrics import confusion_matrix, accuracy_score from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import classification_report from sklearn.model_selection import train_test_split import seaborn as sns import os sns.set() os.chdir("C:/githubrep...
# coding:utf-8 ''' @Copyright:LintCode @Author: ultimate010 @Problem: http://www.lintcode.com/problem/insert-node-in-a-binary-search-tree @Language: Python @Datetime: 16-06-11 08:39 ''' """ Definition of TreeNode: class TreeNode: def __init__(self, val): self.val = val self.left, self.right...
""" * * Author: Juarez Paulino(coderemite) * Email: juarez.paulino@gmail.com * """ a=[] for s in [*open(0)]: for x in map(int,s.split()): a+=[x] for x in a[::-1]: print(x**.5)
#!/usr/bin/env python # encoding: utf-8 name = "Disproportionation/rules" shortDesc = "" longDesc = """ """ entry( index = 1, label = "Root", kinetics = ArrheniusBM(A=(211.065,'m^3/(mol*s)'), n=1.40533, w0=(576945,'J/mol'), E0=(16272,'J/mol'), Tmin=(300,'K'), Tmax=(1500,'K'), uncertainty=RateUncertainty(m...
import argparse import os import time import googleapiclient.discovery credential_path = "./MyProject.json" os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path def delete_instance(compute, project_id, zone, name): return compute.instances().delete( project=project_id, zone=...
from django.utils.translation import ugettext_lazy as _ CODE_TEXT_EDIT = 'EDIT' TEXT_MSG_SUCCESS = _('Data saved correctly') TEXT_MSG_ERROR = _('There was an error saving information') TEXT_MSG_WARNING = _('It required to complete required fields') STATUS_MSG_TAGS = { 'success': TEXT_MSG_SUCCESS, 'error': TEXT...
# QUESTION: # # This problem was asked by Stripe. # # Given an array of integers, find the first missing positive integer in # linear time and constant space. In other words, find the lowest positive # integer that does not exist in the array. The array can contain duplicates # and negative numbers as well. # # For ex...
""" class for storing static results of a tarjan ordering """ from scipy.sparse.csc import csc_matrix from scipy.sparse.csr import csr_matrix from scipy.sparse.linalg import inv, factorized, spsolve from scipy.sparse import eye from scipy.io import savemat, loadmat import os from collections import namedtuple, defaul...
# -*- coding: utf-8 -*- value = input().split() a,b = value x = int(a) y = int(b) if(x==1): snack = float((y*4.00)) print(f'Total: R$ {snack:.2f}') if(x==2): snack = float((y*4.50)) print(f'Total: R$ {snack:.2f}') if(x==3): snack = float((y*5.00)) print(f'Total: R$ {snack:.2f}') if(x==4): sn...
from PySide2 import QtWidgets, QtCore from Elegan import Ui_MainWindow import connection import serial class MyApp(Ui_MainWindow, QtWidgets.QMainWindow): def __init__(self): super(MyApp, self).__init__() self.setupUi(self) self.setWindowTitle("MyApp 3.7") self.progressBa...
#!/usr/bin/env python ''' Created on 12/lug/2013 @author: davide ''' import sys import csv import numpy as np import os from optparse import OptionParser def_out_file = 'out_stat_overhead.csv' def_release = 'ft_release.csv' def_schedule = 'ft_schedule.csv' def parse_args(): parser = OptionParser("usage: %prog [o...
# 使用SimpleTagBased算法对Delicious2K数据进行推荐 # 原始数据集:https://grouplens.org/datasets/hetrec-2011/ # 数据格式:userID bookmarkID tagID timestamp import random import math import operator import pandas as pd """0.数据准备,变量定义""" file_path = "./user_taggedbookmarks-timestamps.dat" records = {} # 从原始数据生成user->item->tag记录...
import array # 1,[mutable/immutable]: item assignment, item deletion # 2,hold arbitrary data types if __name__ == '__main__': # standard array: the list are mutable, and can hold arbitrary data types print('-' * 20, " list, mutable dynmaic arrays ") arr = ['gold', 'pogoda', 'abudo'] print(arr) del(a...
# # F = C * 9/5 +32 # celsius = 0 # fahrenheit = celsius * 9/5 + 32 # print(fahrenheit) # celsius = 100 # fahrenheit = celsius * 9/5 + 32 # print(fahrenheit) # celsius = 23 # fahrenheit = celsius * 9/5 + 32 # print(fahrenheit) c_list = [0, 23, 100] def celsius_to_fahrenheit(celsius): fahrenheit = celsius * 9/...
from django_quill.fields import QuillField from django.db import models class Core(models.Model): content = QuillField()
import tkinter as tk from tkinter import * from tkinter import font from tkinter.filedialog import askopenfilename from tkinter import ttk import textwrap from AppOperations import AppOperations as ao # the class build for this purpose from CommandsGUI import CommandsGUI from CommandsGUI import ScreenGUI #from ...
""" This class keeps global parameters, used in the whole DHCP server """ # socket parameters PORT = 67 BROADCAST_IP_ADDRESS = '0.0.0.0' # DHCP message constant values DHCP_EMPTY_BYTE = 0 NUM_CHADDR_UNUSED_BYTES = 10 NUM_BOOTP_LEGACY_BYTES = 192 # message options codes END_OPTION_CODE = 255 DHCP_MESSAGE_TYPE = ...
import torch import torch.optim as optim from torch.utils.data import DataLoader from torchvision import transforms import tqdm import argparse import time from emotion_classification.dataset.emotion_dataset import PredictDataSet from emotion_classification.model.model import * classes = ['angry', 'dis...
# DC motor cqparts model # 2018 Simon Kirkby obeygiantrobot@gmail.com import cadquery as cq import cqparts from cqparts.params import * from cqparts.display import render_props from cqparts.constraint import Fixed, Coincident from cqparts.constraint import Mate from cqparts.utils.geometry import CoordSystem import m...
from typing import Dict, List, NamedTuple, Tuple import os import h5py import numpy as np import pandas as pd from PIL import Image from ..logging import DEBUG, WARNING, log class Spot(NamedTuple): r""" Data type for encoding circular capture spots, which are used in technologies based on the Spatial Tr...
#!/bin/python3 # Idea: keep two heap, lower is max heap, higher is min heap. import sys from heapq import heappush as push, heappushpop as pushpop class Spliter: def __init__(self): self.upper = [] self.lower = [] def median(self): if len(self.upper) > len(self.lower): re...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_tg_react ------------ Tests for `tg_react` models module. """ import unittest class TestTgReact(unittest.TestCase): def test_something(self): # TODO: Add more tests pass
from django.db import models from django.contrib.auth.models import User class TaskModel(models.Model): user = models.ForeignKey(User, on_delete=models.CASCADE) title = models.CharField(max_length=200) description = models.TextField(null=True, blank=True) complete = models.BooleanField(default=False) created =...
#!/usr/bin/env python # -*- coding: utf-8 -*- ''' Created on Mar 6, 2013 @author: manuel ''' from __future__ import print_function from scipy.stats import poisson from hmmlearn.hmm import _BaseHMM import string , numpy as np import sys from time import time from math import fabs from help_hmm import _init, _add_pseudo...
from scipy.io import netcdf import numpy as np # for skua - TODO #import matplotlib #matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.font_manager import FontProperties import matplotlib.ticker as ticker from argparse import ArgumentParser import os import pdb # names of variable to plot Variable_...
import math s = int(raw_input('ENTER THE VALUE OF N: ')) n = s + 1 def cat(n): if n == 0: return 1 else: return (4*n - 2)/( n + 1 ) * cat(n-1) def print_cat(n): c1, c2 = 1, 1 while c1 <= cat(n): print(c1) c1, c2 = c2, (4*n - 2)/ ( n + 1 ) * c2 print print_cat(n)
import sys import os import string import glob import optparse import shlex import time import getopt import shutil import fnmatch import cmd import django from os.path import join from datetime import datetime, timedelta from django.utils import timezone sys.path.append(os.path.abspath('..')) os.environ.setdef...
import sys import BayesDB classifier = sys.argv[1].strip() if classifier == 'NONE': classifier = None training_data = open(sys.argv[2], 'r') db_file = sys.argv[3] db = BayesDB.createOrLoad(db_file) docs = 0 for line in training_data: line = line.strip() ## assume non-trivial sanitisation done upstream ...
from flask import Flask, request, render_template from werkzeug.exceptions import NotFound from cart_views import cart_app from products_views import products_app app = Flask(__name__) app.register_blueprint(products_app, url_prefix='/products/') app.register_blueprint(cart_app, url_prefix='/cart/') @app.route('/...
#!/usr/bin/env python3 # encoding: utf-8 import json import argparse if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--feat', type=str) parser.add_argument('--num_frames', type=str) parser.add_argument('--trans', type=str) parser.add_argument('--tokens', type=str)...
import json import os import pickle import sys import model # Keep track of the last loaded version of each channel MEMORY = 'pickle.db' try: with open(MEMORY, 'rb') as f: memory = pickle.load(f) except IOError: memory = {} def get_last_loaded(channel): return memory.get(channel) def set_last...
''' Created on 6 feb. 2021 @author: David ''' from pyb import Pin from micropython import schedule class Stepper(object): ''' Counts signals received on a pin and counts them. Also rises an event on a concrete step. ''' def __init__(self, pin, pullMode=None, stepLevel=1): ''' Cons...
#!/usr/bin/env python # wxPython module import wx # Matplotlib Figure object from matplotlib.figure import Figure # Numpy functions for image creation import numpy as np # import the WxAgg FigureCanvas object, that binds Figure to # WxAgg backend. In this case, this is also a wxPanel from matplotlib.backends.backend...
from django.shortcuts import render, render_to_response from django.http.response import HttpResponseRedirect, HttpResponse from django.template import loader from django.template.context import RequestContext # Create your views here. def main(request): return render_to_response('main.html') def setos(reques...
# -*- encoding: utf-8 -*- ############################################################################## # # Vikasa Infinity Anugrah, PT # Copyright (c) 2011 - 2012 Vikasa Infinity Anugrah <http://www.infi-nity.com> # # This program is free software: you can redistribute it and/or modify # it under the term...
# Generated by Django 2.2.8 on 2019-12-09 21:44 from django.conf import settings from django.db import migrations class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('inventory', '0003_artcomments_articledetails'), ] operat...
from dal import autocomplete from .models import Location from django.db.models import Q class LocationAutocomplete(autocomplete.Select2QuerySetView): def get_queryset(self): qs = Location.objects.all() if self.q: qs = qs.filter(Q(city__istartswith=self.q) | Q(state__istartswith=self....
import cv2 import numpy as np def contours_by_mat(src_bank): contours = cv2.Canny(src_bank,100,200) return contours; def tresh_contours_by_length(contours,min_length,max_length): threshed = [] for i in contours: if min_length <= len(contours[i]) <= max_length: threshed.append(contours[i]) return thre...
from . import sales_report_export from . import sales_report_export_by_invoice from . import stock_pick_item_report from . import sales_report_outstock_item from . import stock_picking_return from . import customer_statement from . import sales_delete_posted
import matplotlib.pyplot as plt import numpy as np import os # Contains functions to plot/save information def plot_perf(algs, save_dir=None, rm_mode=False): if save_dir is not None: try: os.mkdir(save_dir) except OSError: pass def save_or_show(name, save_dir, rm_mode)...
""" https://www.python-lernen.de/kommentare.htm Hier kommt auskommentierter Bereich der über mehrere Zeilen sich zieht """ # hier kommt ein Kommentar
n=3 max_w =8 w =[3, 4, 5] v =[30, 50, 60] """ n, max_w = map(int, input().split()) w = [] v = [] for i in range(n): a, b = map(int, input().split()) w.append(a) v.append(b) """ dp = [[0 for _ in range(max_w+1)] for _ in range(n+2)] for i in range(1, n+1): for j in range(max_w+1): dp[i][j] =...
import numpy as np from scipy import ndimage as ndi from skimage.transform import resize from .utils import get_crop_pad_sequence def resize_image(image, target_size): """Resize image to target size Args: image (numpy.ndarray): Image of shape (C x H x W). target_size (tuple): Target size (H,...
import unittest import numpy as np from PCAfold import preprocess from PCAfold import reduction from PCAfold import PCA from PCAfold import PreProcessing from PCAfold import KernelDensity class TestManipulation(unittest.TestCase): def test_center_scale_all_possible_C_and_D(self): test_data_set = np.rand...
def includeme(config): config.add_static_view('static', 'static', cache_max_age=3600) config.add_static_view('dist', '../build/dist') config.add_static_view('build', 'build') config.add_static_view('app1/dist', '../build/dist')
# PC served as a server import socket import ConnectWiFi import MotorControl import machine import time import jy901 from amg88xx import AMG88XX from machine import Pin, I2C, UART # Indicator Blue LED for successful connection led = Pin(2, Pin.OUT) led.on() i2c = I2C(scl=Pin(5), sda=Pin(4)) thermal = A...
sales = float(input("Enter sales: $")) while sales >= 0: if sales >= 1000: user_bonus = (sales * 0.15) else: user_bonus = (sales * 0.1) print("You're bonus is: {}".format(user_bonus)) sales = float(input("Enter sales: $"))
from functions import * if __name__ == '__main__': print("_" * 80) print("Bienvenid@ a DCCAirlines") try: while True: print("_" * 80) print("Menú principal") print("-" * 80) print("¿Qué acción desea realizar?") foreach(lambda i: print(f"...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models from django.contrib.auth.models import AbstractUser from lib.rest_framework_extend.common import gen_random_str class User(AbstractUser): api_secret = models.CharField( u'Api Secret', max_length=64, null=True, bl...
import json json_filename = '3' csv_filename = '7' with open(f'irrigation_data_as_json/{json_filename}.json', 'r') as f: datastore = json.load(f) with open(f"data/{csv_filename}.csv", 'w') as f: f.write('time,soil_moisture,temperature,air_humidity' + '\n') for data in datastore['production']['data']: ...
''' Escreva um programa que leia valor em metros e exiba convetido em centímetros e em milímetros ''' metro = float (input('Coloque o valor em metros: ')) km = metro/1000 hm = metro/100 dam = metro/10 dm = metro*10 cm = metro*100 mm = metro*1000 print(f'{metro} metros medirá:\n{km}km, {hm} hm , {dam} dam\n{d...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('reviews', '0050_merge'), ] operations = [ migrations.AlterField( model_name='study', name='status', ...
for i in range(1, 10): print("0"*(9-i), end='') for k in range(1, i+1): print(i, end='') print(end='\n')
import imageio import numpy as np from sklearn.metrics import roc_curve from sklearn.metrics import confusion_matrix from sklearn.metrics import cohen_kappa_score from sklearn.metrics import accuracy_score def assess_accuracy(gt_changed, gt_unchanged, changed_map, multi_class=False): """ assess accuracy of c...
from collections import defaultdict class Solution(object): def sparsify(self, mat): sp_dict = defaultdict(dict) for i in range(len(mat)): for j in range(len(mat[0])): if mat[i][j] != 0: sp_dict[i][j] = mat[i][j] return sp_dict def multi...
#!/usr/bin/python import commands import os t2 = os.system('ps -ef') title = commands.getoutput('pwd') t3 = os.popen('ls') print t3
#http://www.eeweb.com/project/mohd_kashif/controlling-of-stepper-motors-using-raspberry-pi17 import time import RPi.GPIO as GPIO GPIO.setmode(GPIO.BCM) #Define GPIO signals to use Pins = 18,22,24,26 #GPIO24,GPIO25,GPIO8,GPIO7 StepPins = [17,22,23,24] #Set all pins as output for pin in StepPins: for pin i...
import unittest from codebase.practice.MaxOfThree import MaxOfThree class MaxOfThreeUnitTest(unittest.TestCase): def test_find_max_between_three_numbers_when_three_number_is_different(self): self.assertEqual(29, MaxOfThree().find_max(11, 5, 29))
# -*- coding: utf-8 -*- __author__ = 'Peng' from bs4 import BeautifulSoup,Comment import urllib2 from urllib2 import urlopen,HTTPError import MySQLdb import json import datetime import logging import sys import re import time import random def getSinaArticle(url): #创建请求头 headers={"User-Agent":"Mozilla/5.0 (Wi...
import datetime import re import json from datetime import timedelta from difflib import unified_diff from pathlib import Path from urllib.parse import urlencode import mock import pytest from bs4 import BeautifulSoup from django.utils import timezone from capapi.tests.helpers import check_response, is_cached from c...