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# [Bisect-Lower-Bound, Classic] # https://leetcode.com/problems/find-k-th-smallest-pair-distance/ # 719. Find K-th Smallest Pair Distance # https://www.youtube.com/watch?v=WHfljqX61Y8&t=1180s # Given an integer array, return the k-th smallest distance among all the # pairs. The distance of a pair (A, B) is defined as...
import json import pyrebase from helpers import find import time import re class Etl: def __init__(self, data_path=None, config_path=None): if data_path == None: self.data_path = "" if config_path == None: config_path = "../" # with open(data_path+"data.json") as ...
import sys if(len(sys.argv) < 2) or (len(sys.argv) > 2): print('Incorrect argument count') fp = open('counters.txt','r') raw = fp.readlines() fp.close() counters = [] for line in raw: counters.append(int(line.strip())) currentCounter = counters[0] usedCounter = sys.argv[1] fp = open('counters.txt','w') fp.write...
# This code has to be added to __init__.py in folder .../devices/sensor class Power(): def __family__(self): return "Power" def __getWatt__(self): raise NotImplementedError @api("Power", 0) @request("GET", "sensor/power/*") @response(contentType=M_JSON) def powerWildcard(sel...
from lesson_package import utils def sing(): return 'fdklgoirhkshj' def cry(): return utils.say_twice('fkoguoujnsbwrg')
import numpy as np from tfsnippet.dataflows import DataMapper from tfsnippet.utils import generate_random_seed __all__ = ['BaseSampler', 'BernoulliSampler', 'UniformNoiseSampler'] class BaseSampler(DataMapper): """Base class for samplers.""" def sample(self, x): """ Sample array according t...
#coding=utf-8 #1.导入selenium库 from selenium import webdriver #2.设置启动所需浏览器 br=webdriver.Chrome() #3.打开目标网页 br.get("https://www.baidu.com") #通过id进行定位 # br.find_element_by_id("kw").send_keys("55开") #通过name定位 # br.find_element_by_name("wd").send_keys("美国大选") #通过class定位 # br.find_element_by_class_name("s_ipt").se...
from app import app, db import pandas as pd import sqlalchemy as sa from uszipcode import ZipcodeSearchEngine import numpy as np import datetime from sklearn import preprocessing import xml.etree.ElementTree as ET #to check if the db is empty def is_db_empty(): con = sa.create_engine(app.config['SQLALCHEMY_DATABAS...
import torch.nn as nn import torch.nn.functional as F class NetworkNvidia(nn.Module): """NVIDIA model used in the paper.""" def __init__(self): """Initialize NVIDIA model. NVIDIA model used Image normalization to avoid saturation and make gradients work better. Convol...
"""Utilities for stitching south east asia domains Example Use: stitch_and_save(year=2017, month=1, input_pattern="wrfout_d0{domain}_{year}-{month}*", out_pattern="{year}/{month}/", overlap=15, n_domains=4, max_levels=10) This will combine 4 domains...
calls = 0 def tracer(func): def wrapper(*args, **kwargs): global calls calls += 1 print(f"call {calls} to {func.__name__}") return func(*args, **kwargs) # return wrapper() return wrapper @tracer def spam(a, b, c): # same as : spam = tracer(spam) print(f"{a + b + c} ins...
def dot_product(vec1,vec2): sum = 0 for num in range(len(vec1)): sum += vec1[num] * vec2[num] return sum print(dot_product([1,1],[1,1])) print(dot_product([1, 2], [1, 4])) print(dot_product([1, 2, 1], [1, 4, 3]))
from django.http import HttpResponse, Http404,HttpResponseRedirect from django.shortcuts import render,redirect from django.contrib.auth.decorators import login_required from django.http import HttpResponse, Http404,HttpResponseRedirect from .forms import NewPostForm,ProfileForm,CommentForm,UserForm from .models import...
# vim:tw=50 """Numbers There are several numeric types built into Python, including integers (types |int| and |long|), floating point numbers (type |float|), and complex numbers (type |complex|). 10 # This is an 'int' 10.5 # This is a 'float' 6 + 3.2j # This is a 'complex' The interactive Python ...
# coding=utf-8 from datetime import datetime from random import randint from sqlalchemy.exc import IntegrityError from faker import Faker from . import db from .models import User, Post, Comment, Tag fake = Faker(locale='zh-CN') def users(count=100): i = 0 while i < count: u = User(email=fake.email(), ...
from sys import stderr, exit, argv from flask import Flask, jsonify, request, session, escape app = Flask(__name__, static_url_path='/static') @app.route('/feedback', methods=['POST']) def store_feedback() : post = request.get_json() print >> stderr, post with open('INTERACTION_DATA.json', 'a') as f : ...
# -*- coding: utf-8 -*- import cv2 import os from matplotlib import pyplot as plt from PIL import Image, ImageEnhance, ImageFilter import pytesseract from PIL import ImageFont, ImageDraw import numpy as np video_src = 'D:/PROJECTS/Python/HUMAN COUNT/dataset/VID_20191029_185101.mp4' video_src = 'E:/PROJECT ALL/ka...
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
# Generated by Django 3.2.3 on 2021-10-13 13:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('Sam', '0012_asset_expences_income_liabilities'), ] operations = [ migrations.CreateModel( name='Cash', fields=[ ...
import os from flask import Flask, session, render_template, request, flash, redirect, url_for, jsonify from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) app.config['SECRET_KEY'] = 'hard to guess secure key' app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True # setup SQLAlchemy basedir = os.path.abspath(o...
import requests def get_url_status(url): con = requests.get(url) return con.status_code def run(): url_list = ["http://www.baidu.com", "http://www.163.com"] for url in url_list: status = get_url_status(url) if status == 200: print("{} 正常".format(url)) else: ...
import torch.optim as optim import torchvision import torch from torch.autograd import Variable import numpy as np from torch.nn import functional as F import dataset import helpers import models from config import * # assert(file_name == 'triplet' or file_name == 'bigbottle' or file_name == 'tripletpro') writer, save...
# first line: 12 @memory.cache def detrend(rasterclass): print("\n Detrending \n") #perform detrending by applying a gaussian filter with a std of 200m, and detrend trend = gaussian_filter(rasterclass.raster,sigma=200) rasterclass.raster -= trend rasterclass.detrend_ = True
from django.db import models from simple_history.models import HistoricalRecords import pandas as pd class Table(models.Model): id = models.AutoField(primary_key=True) col_1 = models.CharField(max_length=250, blank=True, null=True, verbose_name="№") col_2 = models.CharField(max_length=250, blank=True, null...
n = int(input()) x = [int(i) for i in input().split(' ')][::-1] p = [0] * n d = [0] * (n + 1) longest_subs = 0 for i in range(n): lo = 1 hi = longest_subs # binary search for longest subs able to hold curr elem while lo <= hi: mid = (lo + hi) // 2 if x[d[mid]] <= x[i]: ...
# # Copyright (c) 2021 Airbyte, Inc., all rights reserved. # from .source import SourcePardot __all__ = ["SourcePardot"]
liste_caracteres_bloques = ["1", "2", "3", "5", "6", "i", "j", "k", "l", "u", "v"] liste_caracteres_fleche = ["w", "x", "y", "z"] liste_caracteres_maison = [] coordonnees_interieur_maison = [] coordonnees_porte_maison = [] maison_shop = False maison_grotte = False niveau_monstres = 1 fond_ecran_combat = "imagesCombat/f...
import sys import oracledb oracledb.version = "8.3.0" sys.modules["cx_Oracle"] = oracledb import cx_Oracle import urllib3 urllib3.disable_warnings() from .base import * from logging.config import dictConfig DEBUG = True # Always run in debug mode locally # Dummy secret key value for testing and local usage SECRET...
from os import getenv from pymongo import MongoClient # Default database name to use DEFAULT_DATABASE = getenv("SMART_SCHOOL_DEFAULT_DB", "SmartSchool") class DBClient: def __init__(self, connection): """ Initializing database with given mongodb connection string. """ self.client ...
from keras.datasets import mnist (X_train, Y_train), (X_test, Y_test) = mnist.load_data() print(X_train[1]) print(Y_test[1]) print(X_train.shape) # (60000,28,28) print(X_test.shape) # (10000,28,28) print(Y_train.shape) # (60000,) print(Y_test.shape) # (10000,) from keras.utils import np_utils from keras.models impo...
"""策略工厂,根绝配置文件或者运行参数初始化一只股票的策略""" from singleton import singleton from pc_parity_strategy import PcParityStrategy @singleton class StrategyFactory: def __init__(self): pass def create(self): """根据股票创建股票的策略""" return PcParityStrategy()
__author__ = 'grant' a = 10 if a - 10 == 0: print('a is ten') if True: print('tis true') if 1: print('its a one') if 't': print('the non-empty is treated as true') if a / 3 == 0: print('variable a is probably 3') else: print('variable a is something else') weather = 'rainy' if weather ==...
def find_max(a): n = len(a) max = 0 for i in range(1, n): if a[i] > a[max]: max = i return max def sort(a): result = [] while a: max = find_max(a) value = a.pop(max) result.append(value) return result d = [2, 4, 5, 1, 3] print(sort(d))
#!/usr/bin/env python nx, ny, nz = 4, 5, 6 for idx in xrange(nx*ny*nz): i = idx/(ny*nz) j = idx/nz k = idx%nz j2 = (idx - i*ny*nz)/nz k2 = idx - i*ny*nz - j2*nz print i,j,k,'\t',j2,k2
import metar import matplotlib.dates as mdates import datetime as dt stations = [('KDLS', 'The Dalles', 'OR'), ('KHRI', 'Hermiston', 'OR'), ('KPSC', 'Pasco', 'WA')] startdate = dt.datetime(1980,1,1) enddate = dt.datetime(2012,5,27) timestep = dt.timedelta(days=1) for station in stations: o...
import re from unicodedata import normalize from photosandtext2 import app, db from photosandtext2.models.photo import * from photosandtext2.models.user import * import datetime ALLOWED_EXTENSIONS = app.config["ALLOWED_EXTENSIONS"] def init_env(): """ Used to initialize the environment. (Need to import photo ...
from time import sleep, time from config import config class Session: from oauthlib.oauth2 import BackendApplicationClient from requests_oauthlib import OAuth2Session # Wild Apricot uses "APIKEY" as the client ID CLIENT_ID = 'APIKEY' def __init__(self): client = self.BackendApplicationCli...
import random SIX_HANDS = [] PLAYER_LIST = [] if len(PLAYER_LIST) > 6: PLAYER_LIST.pop() class Deck(object): def __init__(self,): self.two_hands = [] self.current = ['2c', '3c', '4c', '5c', '6c', '7c', '8c', '9c', '10c', 'Jc', 'Qc', 'Kc', 'Ac', '2s', '3s', '4s', '5s'...
#!/usr/bin env python # -*- coding: utf-8 -*- #Project Neutrino #Por Cleiton Lima <cleitonlima@fedoraproject.org> #This file is part of Neutrino Project. # Neutrino 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 Softw...
import dash from dash.dependencies import Output, Input, State import dash_core_components as dcc import dash_html_components as html import plotly import random import plotly.graph_objs as go external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] app = dash.Dash(external_stylesheets=external_s...
# Заповнюємо масив випадковоми числами import random def generuvaty_masyv( n, min, max ): m = [] for _ in range(0,n): m.append(random.randint(min,max)) return m N = 20 masyv = generuvaty_masyv( N, 1, 20 ) print("Заданий масив:", masyv) # Задача (викладка з легендою) # В черзі на завантаженн...
from django.conf.urls import patterns, include, url from views import GLogListView, GLogDetailView, GLogCreateView, GLogUpdateView urlpatterns = patterns('', url(r'^$', GLogListView.as_view(), name='glog-list'), url(r'^create/$', GLogCreateView.as_view(), name='glog-create'), url(r'^edit/(?P<id>\d+)/$', G...
from django.core.management.base import BaseCommand, CommandError import sisyphus.models import sisyphus.analytics import django.http import json import time import re class Command(BaseCommand): args = "<file_to_load file_to_load ...>" help = "Load analytics from Google Analytics Top Content report in CSV fo...
#!/usr/bin/python3 # safely-remove: A command-line tool to eject external data devices. # # (c) 2020 Alicia Boya Garcia # # 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 restriction, ...
# -*- coding: utf-8 -*- # Copyright (C) 2008 Frederik M.J. Vestre # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of source code must retain the above copyright # notice, this list of condi...
from django.shortcuts import render from rest_framework import generics from core.models import Comunidad, Evento,AgentesPatorales,Solicitud from .serializers import ComunidadSerializer, EventoSerializer,AgenteSerializer,SolicitudSerializer # Create your views here. class ComunidadLista(generics.ListCreateAPIView): ...
from __future__ import unicode_literals import logging from mopidy import backend from mopidy.models import SearchResult logger = logging.getLogger(__name__) class SubsonicLibraryProvider(backend.LibraryProvider): def __init__(self, *args, **kwargs): super(SubsonicLibraryProvider, self).__init__(*args...
class Solution(object): def __init__(self): self.k = 0 ''' 这种方法超时了,让求第k个,没必要把所有的排列都求出来 ''' def getPermutation(self, n, k): """ :type n: int :type k: int :rtype: str """ nums = [] for i in xrange(1, n + 1): nums.a...
from os.path import join as pjoin # Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z" _version_major = 0 _version_minor = 1 _version_micro = '' # use '' for first of series, number for 1 and above _version_extra = 'dev' # _version_extra = '' # Uncomment this for full releases # Construct fu...
b = 7 def verdubbelB(): b = b + b verdubbelB() print(b) import time print(time.strftime(("%H:%M:%S"))) def f(y): return 2*y + 1 print(f(3)+g(3)) def g(x): return 5 + x + 10
# coding=utf-8 # Copyright 2020 The TensorFlow Datasets Authors. # # 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 appl...
from airflow import DAG from datetime import datetime, timedelta from airflow.providers.amazon.aws.operators.glue import AwsGlueJobOperator default_args = { "owner": "airflow-user", "start_date": datetime.today(), "depends_on_past": False, "email_on_failure": False, "email_on_retry": False, "email": "<your-email...
# Copyright 2015 Google Inc. 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 law or agreed ...
import sys sys.stdin = open('input.txt') def preorder(node): if node == '.': return print(node, end='') preorder(graph[node][0]) preorder(graph[node][1]) def inorder(node): if node == '.': return inorder(graph[node][0]) print(node, end='') inorder(graph[node][1]) de...
import boto3 import uuid import sys s3 = boto3.resource('s3') bucket_name = "image-pattern" bucket = s3.Bucket(bucket_name) for obj in bucket.objects.all(): print(obj.key) response = s3.get_bucket_location( Bucket=bucket_name ) # LIST AVAILABLE BUCKETS for bucket in s3.buckets.all(): print "Bucket...
# Generated by Django 2.0.9 on 2018-11-10 15:01 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('crm', '0017_auto_20181110_1456'), ] operations = [ migrations.RemoveField( model_name='project', name='duration', ...
# -*- coding: utf-8 -*- import sys from dill import dill from MyAPI.InderScience import InderScience from MyAPI.MyBs import MyBs from MyAPI.MySele import MySele from MyAPI.ScienceDirect import ScienceDirect from MyAPI.Tandfonline import Tandfonline tand = { 40: 4, 41: 4, 42: 4, 43: 4, 44: 4, 4...
from django.db.models.signals import post_save from django.dispatch import receiver from django.contrib.auth.models import User from notifications.signals import notify from django.shortcuts import reverse # 注册的时候,发送通知到刚注册的账号 @receiver(post_save, sender=User) def send_user_save_notifications(sender, instance, **kwarg...
# 90-degree turnning matrix func def rotate_a_matrix_by_90_degree(a): n = len(a) m = len(a[0]) result = [[0]*m for _ in range(n)] for i in range(n): for j in range(m): result[j][n-1-i] = a[i][j] return result # a = [[1, 2], [3, 4]] # print(rotate_a_matrix_by_90_degree(a)) def check(length, new_lock): f...
from django.core.management.base import BaseCommand from ktapp import models class Command(BaseCommand): help = "Merge users" def add_arguments(self, parser): parser.add_argument("source_user_id", type=int) parser.add_argument("target_user_id", type=int) def handle(self, *args, **option...
#!/usr/bin/python from __future__ import print_function import numpy as np import tensorflow as tf from six.moves import cPickle as pickle from tensorflow.python.platform import gfile def reformat(dataset, labels): if use_cnn: dataset = dataset.reshape((-1, image_sizeX, image_sizeY, num_channels)).astype(np.f...
''' Тест позволяет проверить работу функции, сымитировать набор данных на виртуальной клавиатуре пользователем. Данные берутся из внешенго файла -- data_OGZ_plane.tsv. ''' # Инициализация полей ввода x_field = "{container=':mainWidget.qstw_mode_QStackedWidget' name='qle_ogz_x' type='QLineEdit' visible='1'}" y_field = ...
import cv2 import numpy as np import matplotlib.pyplot as plt image = cv2.imread("lena.bmp", cv2.IMREAD_GRAYSCALE) cv2.imwrite("1_original_lena.bmp", image) plt.hist(image.reshape(image.size), bins = range(256)) plt.savefig("1_original_histogram.png") devide3 = image / 3 cv2.imwrite("2_devide3_lena.bmp", devide3) pl...
#!/usr/bin/python3 """find the number that occure only one time in an array""" def solution(A): for i in A: if A.count(i) == 1: return i #This algorithm is correct by it will take O(n²) to pass, which is not so optimal #another solution is: def solution(A): for i in range(len(A)): A...
#!/usr/bin/env python3 import re import sys import json import base64 import ipaddress def decode_address(address): hex_ip, hex_port = address.split(':') ip_join, ipv6 = (':', True) if len(hex_ip) == 32 else ('.', False) if ipv6: ipv6_string = ":".join([hex_ip[i:i + 4] for i in range(0, 32, 4)]) ...
#!/usr/bin/env python3 # -*- coding: UTF-8 -*- from ana_bsec import log import torch,copy,math,numpy import torch.nn as nn import torch.nn.functional as F import torch.optim as optim class NN_EXP(nn.Module): def __init__(self): super(NN_EXP,self).__init__() self.fc1=nn.Linear(1,4) self.fc2=...
from PyQt5.QtCore import pyqtSignal, QObject from DataSocket import TCPReceiveSocket import time # a client socket class QDataSocket(QObject): reconnecting = pyqtSignal() new_data = pyqtSignal(tuple) def __init__(self, tcp_port, tcp_ip='localhost'): super().__init__() self.socket = TCPRe...
from numpy import * from ConvNet import * import time import struct import os #mnist has a training set of 60,000 examples, and a test set of 10,000 examples. #log檔作用:紀錄檔案(logfile)是一個記錄了發生在執行中的作業系統或其他軟體中的事件的檔案 # def train_net(train_covnet, logfile, cycle, learn_rate, case_num = -1) : # Read data # Change it t...
from django.urls import path from . import views from django.conf import settings from django.conf.urls.static import static urlpatterns = [ path('login/', views.loginPage , name='login'), path('logout/', views.logoutUser , name='logout'), path('register/',views.registerUser , name='register'), path(''...
#!/usr/bin/env python import os import sys from recipes.examples import Examples from recipes.apport import Apport from recipes.packages import Packages from recipes.bashrc import Bashrc from recipes.node import Node from recipes.gedit import Gedit from recipes.git import Git from recipes.fstab import Fstab from recip...
#包含min函数的栈 class stack(): def __init__(self): self._item = [] self._min = [] def pop(self): if self._item: self._min.pop() return self._item.pop() else: print("stack is empty!") def push(self,item): self._item.append(item) ...
import random def intercalar_iguais(v1, v2, vf): x = 0 for i in range(len(v1)): vf[x] = v1[i] x += 1 vf[x] = v2[i] x += 1 return vf def contem(v, qtd, e): for i in range(qtd): if v[i] == e: return True return False def gerar(v1, v2): qtd_v1...
import fractions from functools import reduce def gcd_list(numbers): return reduce(fractions.gcd, numbers) n, x0 = map(int, input().split()) x = list(map(int,input().split())) x.append(x0) x.sort() xdiff = [] tmp = x[0] for xs in x: if xs - tmp == 0: continue xdiff.append(xs-tmp) print(gcd_list(xdiff))
# -*- coding: utf-8 -*- """ Created on Thu Aug 19 17:28:13 2021 @author: gawe """ import numpy as _np mu0 = 4.0*_np.pi*1e-7 # [H/m], approximate permeability of free space cc = 299792458 # [m/s], defined speed of light, weird flex: 3e8 m/s is fine eps0 = 1.0/(mu0*(cc**2.0)) # [F/m], permittiv...
from django.db import models class Ornanization(models.Model): name = models.CharField(max_length=20) department = models.CharField(max_length=40) email = models.EmailField(max_length=50) duty = models.CharField(max_length=20) cell_phone = models.IntegerField(max_length=11) plane_number = models.IntegerField(ma...
# Generated by Django 2.0 on 2018-01-19 09:30 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Machine', fields=[ ...
import numpy as np import sys # have a quick look of a file containing numpy array that you saved file = sys.argv[1] array = np.load(file) print(array) print('shape:', np.shape(array))
def add(num1, num2): return num1 + num2 def subtract(num1, num2): return num1 - num2 def multiply(num1, num2): return num1 * num2 def divide(num1, num2): return num1 / num2 print ("Calculator v2") print("______________________") num1 = float(input("Enter a number: ")) operand = input("+, -, *, / : ") num2 = fl...
import os from flask import Flask # create_app 是一个应用工厂函数 def create_app(test_config=None): # 用于创建和配置Flask应用 app = Flask(__name__, instance_relative_config=True) app.config.from_mapping( SECRET_KEY="dev", DATABASE=os.path.join(app.instance_path, "flask.sqlite"), # 这里定义了数据库的路径和名称 ) ...
# Détecte si un mot est un palindrome un_mot = "kayak" nb_lettres = len(un_mot) est_palindrome = True for i in range(0, nb_lettres): # Rq: pour optimiser la boucle, on peut parcourir uniquement la moitié du mot if not un_mot[i] == un_mot[nb_lettres - 1 - i]: est_palindrome = False break print(f...
import pandas_datareader.data as web import datetime import matplotlib.pyplot as plt from zipline.api import order_target, record, symbol,set_commission, commission from zipline.algorithm import TradingAlgorithm start = datetime.datetime(2016, 1 ,2) end = datetime.datetime(2016, 1, 31) data = web.DataReader("000660.K...
#!/usr/bin/python3 # -*- coding:utf-8 -*- import numpy as np from IPython import embed class ReLU: def forward(self, x): self.grad_mask = x < 0 return np.maximum(x, 0) def backward(self, grad_input): grad_input[self.grad_mask] = 0 return grad_input def test_ReLU(input, gra...
def input_number(): x = 10 try: y = int(input('請輸入數字:')) z = x / y except ZeroDivisionError as e: print('分母不可 = 0, 請重新輸入~', e) input_number() except ValueError as e: print('輸入資料錯誤, 請重新輸入~', e) input_number() except Exception as e: print("發生了一個我...
import numpy as np class Utils: def Sigmoid(self, z): return (1/(1+np.exp(-z))) def CrossEntropy(self, a, y): return np.mean(y * np.log(a) + (1-y) * np.log(1-a)) def DistEuclidean(self, dato, dato1): x = 0 for i in range(len(dato1.columns)-1): x += (((dato.ilo...
from __future__ import annotations from soda.sodacl.check_cfg import CheckCfg from soda.sodacl.location import Location class GroupByCheckCfg(CheckCfg): def __init__( self, source_header: str, source_line: str, source_configurations: dict | None, location: Location, ...
import os import psycopg2 DEBUG = False # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__)) STATIC_URL = 'https://recipe-ingredient-catalog.herokuapp.com/static/' A...
from include.data_load import DataSets from include.regression import Regression import numpy as np def main() -> None: datasets_obj = DataSets() datasets_obj.load_boston_housing_dataset() train_data, train_target = datasets_obj.get_train_data() test_data, test_target = datasets_obj.get_test_data() ...
# Generated by Django 2.1.3 on 2019-01-10 10:56 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('store', '0002_auto_20190110_1055'), ] operations = [ migrations.RemoveField( model_name='game', name='id', )...
from django.db import models class Button(models.Model): value = models.BooleanField(default = True) mapped_io = models.CharField(max_length=25, default = 'a') def __str__(self): return "Digital: " + str(self.mapped_io) class Slider(models.Model): value = models.IntegerField(default = 0) ...
#863. All Nodes Distance K in Binary Tree #We are given a binary tree (with root node root), a target node, and an integer value K. #Return a list of the values of all nodes that have a distance K from the target node. #The answer can be returned in any order. #Example 1: #Input: root = [3,5,1,6,2,0,8,null,null...
import h5py, sys for fname in sys.argv[1:]: print 'loading '+fname+'...' with h5py.File(fname, 'a') as h5f: for key in h5f.keys(): if key in ['scstiffness_rho', 'scstiffness_rho3d', 'scstiffness_rho3dinterlayer', 'josephsonexchange', 'josephsonexchange_j3d', 'scstiffn...
from django.contrib import admin from . models import NetVisCache admin.site.register(NetVisCache)
import csv,sys from get_relationship import GetRelationship from add_relationship import AddRelationship import globals def read_csv(filepath): data = [] with open(filepath) as f: reader=csv.reader(f) # next(reader, None) for row in reader: if row: data.append(row) return data def request_tree(reque...
"""Cancer data classification Classifying the Wisconsin cancer data from UCI repository into benign and malignant classes with k Nearest Neighbors """ # -*- coding: utf-8 -*- #!/usr/bin/env python3 # File : cancer_knn.py # find whether cancer is malignant or benign using kNN import time import warnings ...
# defnination function def name(): name = input('Enter name: ') # variable to Receive the input if len(name) <= 10: # if condetion to check len of name return name else: return name[0] + str(len(name[1:-2])) + name[-1] # ptint fun print(name())
""" step1: choose a starting point x0 and set k = 0 step2: determine a descent direction d_k step3: determine step size by line search, choose step size tau_k > 0 step4: update x[k + 1] = x[k] + tau_k * d_k, k += 1 repeat until stopping criterion is satisfied Linear approximation: Suppose that f is differentiable and ...
length = float(input("Enter length of rectangle :")) width = float(input("Enter width of rectangle :")) PerimeterOfRectangle = 2*(length+width) AreaOfRectangle = length*width print ("Perimeter of Rectangle: {}".format(PerimeterOfRectangle)) print("Area of Rectangle: {}".format(AreaOfRectangle))
__author__ = 'ole' from core.plugin import Plugin # This plugin is necessary to keep the connection alive. class Pong(Plugin): def on_ping(self, message): self.logger.info("PONG {0}".format(message.content)) self.send("PONG {0}\r\n".format(message.content).encode())
#def char_frequency(str1): str1=raw_input("enter the string") dict1 = {} for n in str1: if n in dict1: dict1[n] += 1 else: dict1[n] = 1 print dict1 #print(char_frequency('google.com'))
from evaluation import fit_and_score import random def _query(item): """ Default query. """ return True def _accept(pred): """ Default acceptor. """ return True class Sampler(object): def __init__(self, pipeline, batch_size=30, query=_query, key=None, accept=_accept): ...