row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
32,624
|
write a C# script that counts the amount of times an enemy instance is destroyed
|
9dd40882a4e2e2da8454f8af5aabebc4
|
{
"intermediate": 0.3901614546775818,
"beginner": 0.2166757732629776,
"expert": 0.3931627869606018
}
|
32,625
|
do you know how to draw a rectangle in react to have a custom point in a scatter chart with the library recharts
|
13273ae23c3c1dadca5e34b13636db51
|
{
"intermediate": 0.7785457372665405,
"beginner": 0.1003786101937294,
"expert": 0.12107566744089127
}
|
32,626
|
write a C# script called "BossSpawner" that spawns the boss instance in after 15 seconds
|
0c02da2ded1cad73e0f90c173f663ee6
|
{
"intermediate": 0.43443769216537476,
"beginner": 0.1781696379184723,
"expert": 0.38739264011383057
}
|
32,627
|
Доработай пример, чтобы при создании блок можно было двигать
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Конструктор</title>
<style>
#canvas {
width: 1000px;
height: 600px;
border: 1px solid #000;
margin-bottom: 20px;
}
#block-form {
display: none;
}
#block-form label {
display: block;
margin-bottom: 10px;
}
.block {
position: absolute;
background-color: #f2f2f2;
padding: 10px;
border-radius: 5px;
border: 1px solid #ccc;
cursor: move;
}
.block.selected {
border-color: red;
}
.connector {
width: 0;
height: 0;
border-left: 5px solid transparent;
border-right: 5px solid transparent;
border-bottom: 5px solid #000;
position: absolute;
bottom: -3px;
}
.connector.selected {
border-bottom-color: red;
}
.connector.parallel {
margin-left: -3px;
}
.connector.sequential {
left: 50%;
margin-left: -3px;
}
</style>
</head>
<body>
<button id="add-block-button">Добавить блок</button>
<div id="canvas"></div>
<div id="block-form">
<form>
<label for="block-type">Тип блока:</label>
<select id="block-type" name="block-type">
<option value="rele">Реле</option>
<option value="knopka">Кнопка</option>
<option value="wiegand26">Wiegand26</option>
<option value="trigger">Триггер мод.</option>
<!-- Другие типы блоков -->
</select>
<!-- Дополнительные параметры в зависимости от типа блока -->
<button type="submit">Создать блок</button>
</form>
</div>
<script>
document.addEventListener("DOMContentLoaded", function() {
var canvas = document.getElementById("canvas");
var blockForm = document.getElementById("block-form");
var addBlockButton = document.getElementById("add-block-button");
var blocks = [];
var connections = [];
function createBlock(x, y) {
var block = document.createElement("div");
block.classList.add("block");
block.style.left = x + "px";
block.style.top = y + "px";
block.addEventListener("mousedown", function(event) {
event.preventDefault();
selectBlock(block);
});
canvas.appendChild(block);
blocks.push(block);
return block;
}
function removeBlock(block) {
var index = blocks.indexOf(block);
if (index !== -1) {
blocks.splice(index, 1);
// Удаление связей, связанных с блоком
connections = connections.filter(function(connection) {
return connection.source !== block && connection.target !== block;
});
block.parentNode.removeChild(block);
}
}
function selectBlock(block) {
blocks.forEach(function(b) {
b.classList.remove("selected");
});
block.classList.add("selected");
}
function createConnector(block, isSequential) {
var connector = document.createElement("div");
connector.classList.add("connector");
if (isSequential) {
connector.classList.add("sequential");
} else {
connector.classList.add("parallel");
}
connector.addEventListener("mousedown", function(event) {
event.preventDefault();
selectConnection(connector);
});
block.appendChild(connector);
return connector;
}
function removeConnector(connector) {
var index = connections.findIndex(function(connection) {
return connector === connection.sourceConnector || connector === connection.targetConnector;
});
if (index !== -1) {
connections.splice(index, 1);
connector.parentNode.removeChild(connector);
}
}
function selectConnection(connector) {
connections.forEach(function(connection) {
connection.sourceConnector.classList.remove("selected");
connection.targetConnector.classList.remove("selected");
});
connector.classList.add("selected");
}
function createConnection(sourceBlock, sourceConnector, targetBlock, targetConnector) {
var connection = {
source: sourceBlock,
sourceConnector: sourceConnector,
target: targetBlock,
targetConnector: targetConnector
};
connections.push(connection);
}
function updateConnections() {
var canvasRect = canvas.getBoundingClientRect();
connections.forEach(function(connection) {
var sourceRect = connection.sourceConnector.getBoundingClientRect();
var targetRect = connection.targetConnector.getBoundingClientRect();
var sourceX = sourceRect.left - canvasRect.left + sourceRect.width / 2;
var sourceY = sourceRect.top - canvasRect.top + sourceRect.height / 2;
var targetX = targetRect.left - canvasRect.left + targetRect.width / 2;
var targetY = targetRect.top - canvasRect.top + targetRect.height / 2;
var path = document.createElementNS("http://www.w3.org/2000/svg", "path");
path.setAttribute("d", "M " + sourceX + " " + sourceY + " L " + targetX + " " + targetY);
path.setAttribute("stroke", "#000");
path.setAttribute("fill", "transparent");
canvas.appendChild(path);
});
}
addBlockButton.addEventListener("click", function() {
var x = 100; // Начальные координаты для нового блока
var y = 100;
var block = createBlock(x, y);
var connector = createConnector(block, true); // Коннектор для последовательной связи
if (blocks.length > 0) {
// Создание связи с последним блоком
var lastBlock = blocks[blocks.length - 1];
var lastConnector = lastBlock.getElementsByClassName("connector")[0];
createConnection(lastBlock, lastConnector, block, connector);
}
selectBlock(block);
});
canvas.addEventListener("mousemove", function(event) {
if (event.target.classList.contains("connector")) {
event.target.style.cursor = "pointer";
} else {
event.target.style.cursor = "default";
}
});
canvas.addEventListener("mouseup", function(event) {
var sourceConnector = event.target;
if (sourceConnector.classList.contains("connector")) {
var sourceBlock = sourceConnector.parentNode;
blocks.forEach(function(block) {
if (block !== sourceBlock) {
var connectors = block.getElementsByClassName("connector");
for (var i = 0; i < connectors.length; i++) {
if (sourceConnector.classList.contains("sequential")) {
createConnection(sourceBlock, sourceConnector, block, connectors[i]);
} else if (sourceConnector.classList.contains("parallel")) {
createConnection(block, connectors[i], sourceBlock, sourceConnector);
}
}
}
});
}
updateConnections();
});
// Пример создания блока из формы
blockForm.addEventListener("submit", function(event) {
event.preventDefault();
var blockType = document.getElementById("block-type").value;
// Получение параметров блока из формы и создание блока
var block = createBlock(200, 200);
var connector = createConnector(block, true);
if (blocks.length > 0) {
var lastBlock = blocks[blocks.length - 1];
var lastConnector = lastBlock.getElementsByClassName("connector")[0];
createConnection(lastBlock, lastConnector, block, connector);
}
selectBlock(block);
});
});
// Пример создания JSON-конфигурации
function createConfiguration() {
var configuration = {
blocks: [],
connections: []
};
blocks.forEach(function(block) {
var blockType = block.getAttribute("data-block-type");
var x = parseFloat(block.style.left);
var y = parseFloat(block.style.top);
configuration.blocks.push({
type: blockType,
x: x,
y: y
});
});
connections.forEach(function(connection) {
var source = blocks.indexOf(connection.source);
var sourceConnector = Array.prototype.indexOf.call(connection.source.childNodes, connection.sourceConnector);
var target = blocks.indexOf(connection.target);
var targetConnector = Array.prototype.indexOf.call(connection.target.childNodes, connection.targetConnector);
configuration.connections.push({
source: source,
sourceConnector: sourceConnector,
target: target,
targetConnector: targetConnector
});
});
// Преобразование JSON-конфигурации в строку
var jsonString = JSON.stringify(configuration);
// Отправка формы или сохранение конфигурации в файл
}
</script>
</body>
</html>
|
a1dd574c39981a52d706cb96240567c1
|
{
"intermediate": 0.26525020599365234,
"beginner": 0.6653368473052979,
"expert": 0.06941293925046921
}
|
32,628
|
How can I type a movement script in scratch
|
972cee6ff792d1560e973fba2229d3eb
|
{
"intermediate": 0.37853726744651794,
"beginner": 0.3508281111717224,
"expert": 0.27063459157943726
}
|
32,629
|
private MessageInfo? GetMessageInfo(string messageRaw)
{
var match = Regex.Match(messageRaw, "(\\d{1,},\"REC.*READ\".*[+]\\d{1,}\"\r\n)");
if (!match.Success)
return null;
var messageHeader = match.Value;
var details = messageHeader.Split(",");
if (details.Length < 5)
return null;
var recievedTime = Regex.Match(details[4], "(\\d{4}/.*\\d[+])")
.Value
.Replace("+", "");
var messageContent = messageRaw.Replace(messageHeader, "").Replace("\r\nOK\r\n", "");
var matchesOTP = Regex.Matches(messageContent, "(\\s\\d{4,6})\\s");
var otp = string.Empty;
if (matchesOTP.Count != 0)
otp = matchesOTP.OrderByDescending(match => match.Value.Length).First().Value.Trim();
sau Value mà có dấu chấm hay dấu phẩy thì hãy loại bỏ nó
|
4a09c6e7f92db0fd74c32c40c041bce3
|
{
"intermediate": 0.37265193462371826,
"beginner": 0.31409040093421936,
"expert": 0.3132576644420624
}
|
32,630
|
erlang c monthly fomrula calculation
|
1f3c8cc10643ad0ade58ac02a1ae7edd
|
{
"intermediate": 0.3163505792617798,
"beginner": 0.3397477865219116,
"expert": 0.3439016342163086
}
|
32,631
|
I want to scrape content started with “sk-” in .js files of the sites that can be accessed from Google with the search query “chat site:github.io”. I have full authorization for this process.
|
0189f5467676cada6ebd9a27e8367ce0
|
{
"intermediate": 0.24817897379398346,
"beginner": 0.3173583149909973,
"expert": 0.43446266651153564
}
|
32,632
|
Fix the following java code for me, and point out where I made mistakes:
import java.util.Scanner;
public class Main
{
public static void main(String[] args)
{
System.out.println("\n\nLet's play 20 questions. Choose an animal and I will try to guess it!");
Scanner scan = new Scanner(System.in);
System.out.println("Is it a mammal (y/n)?");
String answer = scan.nextLine();
if (answer.equals("y"))
{
System.out.println("Is it a pet (y/n)?");
answer = scan.nextLine();
if (answer.equals("y"))
{
System.out.println("I guess a dog! Click on run to play again.");
}
else
{
System.out.println("I guess an elephant! Click on run to play again.");
}
else {
System.out.println("Can it fly?");
String answer = scan.nextLine();
if (answer.equals("y"); {
System.out.println("I guess a bird! Click on run to play again.");
else {
System.out.println("Is it an aquarium animal?");
if (answer.equals("y"); {
System.out.println("I guess a shark!");
}
else {
System.out.println("I guess a worm!");
}
}
}
|
1c0a06daec9f68036b4e68c97a76c00a
|
{
"intermediate": 0.37634652853012085,
"beginner": 0.4306219816207886,
"expert": 0.19303154945373535
}
|
32,633
|
como resuelvo esto PS C:\Users\Jesus Rodriguez\Desktop\RamaMasterBackend\Healthy-Human-master> npm install --timeout=99999999999999999999999999
npm WARN EBADENGINE Unsupported engine {
npm WARN EBADENGINE package: '@angular-devkit/core@16.2.8',
npm WARN EBADENGINE required: {
npm WARN EBADENGINE node: '^16.14.0 || >=18.10.0',
npm WARN EBADENGINE npm: '^6.11.0 || ^7.5.6 || >=8.0.0',
npm WARN EBADENGINE yarn: '>= 1.13.0'
npm WARN EBADENGINE },
npm WARN EBADENGINE current: { node: 'v18.7.0', npm: '8.15.0' }
npm WARN EBADENGINE }
npm WARN EBADENGINE Unsupported engine {
npm WARN EBADENGINE package: '@angular-devkit/schematics@16.2.8',
npm WARN EBADENGINE required: {
npm WARN EBADENGINE node: '^16.14.0 || >=18.10.0',
npm WARN EBADENGINE npm: '^6.11.0 || ^7.5.6 || >=8.0.0',
npm WARN EBADENGINE yarn: '>= 1.13.0'
npm WARN EBADENGINE },
npm WARN EBADENGINE current: { node: 'v18.7.0', npm: '8.15.0' }
npm WARN EBADENGINE }
npm WARN EBADENGINE Unsupported engine {
npm WARN EBADENGINE package: '@angular-devkit/schematics-cli@16.2.8',
npm WARN EBADENGINE required: {
npm WARN EBADENGINE node: '^16.14.0 || >=18.10.0',
npm WARN EBADENGINE npm: '^6.11.0 || ^7.5.6 || >=8.0.0',
npm WARN EBADENGINE yarn: '>= 1.13.0'
npm WARN EBADENGINE },
npm WARN EBADENGINE current: { node: 'v18.7.0', npm: '8.15.0' }
npm WARN EBADENGINE }
npm WARN deprecated vm2@3.9.19: The library contains critical security issues and should not be used for production! The maintenance of the project has been discontinued. Consider migrating your code to isolated-vm.
npm WARN cleanup Failed to remove some directories [
npm WARN cleanup [
npm WARN cleanup 'C:\\Users\\Jesus Rodriguez\\Desktop\\RamaMasterBackend\\Healthy-Human-master\\node_modules\\@nestjs\\schematics',
npm WARN cleanup [Error: EPERM: operation not permitted, lstat 'C:\Users\Jesus Rodriguez\Desktop\RamaMasterBackend\Healthy-Human-master\node_modules\@nestjs\schematics'] {
npm WARN cleanup errno: -4048,
npm WARN cleanup code: 'EPERM',
npm WARN cleanup syscall: 'lstat',
npm WARN cleanup path: 'C:\\Users\\Jesus Rodriguez\\Desktop\\RamaMasterBackend\\Healthy-Human-master\\node_modules\\@nestjs\\schematics'
npm WARN cleanup }
npm WARN cleanup ]
npm WARN cleanup ]
npm ERR! code 1
npm ERR! path C:\Users\Jesus Rodriguez\Desktop\RamaMasterBackend\Healthy-Human-master\node_modules\bcrypt
npm ERR! command failed
npm ERR! command C:\Windows\system32\cmd.exe /d /s /c C:\Users\JESUSR~1\AppData\Local\Temp\install-44ce72ef.cmd
npm ERR! node:internal/modules/cjs/loader:372
npm ERR! throw err;
npm ERR! ^
npm ERR!
npm ERR! Error: Cannot find module 'C:\Users\Jesus Rodriguez\Desktop\RamaMasterBackend\Healthy-Human-master\node_modules\util-deprecate\node.js'. Please verify that the package.json has a valid "main" entry
npm ERR! at tryPackage (node:internal/modules/cjs/loader:364:19)
npm ERR! at Module._findPath (node:internal/modules/cjs/loader:577:18)
npm ERR! at Module._resolveFilename (node:internal/modules/cjs/loader:942:27)
npm ERR! at Module._load (node:internal/modules/cjs/loader:804:27)
npm ERR! at Module.require (node:internal/modules/cjs/loader:1022:19)
npm ERR! at require (node:internal/modules/cjs/helpers:102:18)
npm ERR! at Object.<anonymous> (C:\Users\Jesus Rodriguez\Desktop\RamaMasterBackend\Healthy-Human-master\node_modules\are-we-there-yet\node_modules\readable-stream\lib\_stream_writable.js:58:14)
npm ERR! at Module._compile (node:internal/modules/cjs/loader:1120:14)
npm ERR! at Module._extensions..js (node:internal/modules/cjs/loader:1174:10)
npm ERR! at Module.load (node:internal/modules/cjs/loader:998:32) {
npm ERR! code: 'MODULE_NOT_FOUND',
npm ERR! path: 'C:\\Users\\Jesus Rodriguez\\Desktop\\RamaMasterBackend\\Healthy-Human-master\\node_modules\\util-deprecate\\package.json',
npm ERR! requestPath: 'util-deprecate'
npm ERR! }
npm ERR!
npm ERR! Node.js v18.7.0
npm ERR! A complete log of this run can be found in:
npm ERR! C:\Users\Jesus Rodriguez\AppData\Local\npm-cache\_logs\2023-11-27T18_32_13_483Z-debug-0.log
|
3509308358f7df77a9e34bb7037ef39c
|
{
"intermediate": 0.3116855323314667,
"beginner": 0.3924040198326111,
"expert": 0.295910507440567
}
|
32,634
|
in a c++ wxwidgets project this method is giving me error:
void GridSorter::SortData(int col, std::vector<std::vector<std::string>>& rowData, const std::vector<std::string>& pinnedRows)
{
std::vector<std::vector<std::string>> pinnedRowsData;
std::vector<std::vector<std::string>> remainingRowsData;
// Separate the pinned rows and remaining rows
for (size_t i = 0; i < rowData.size(); ++i)
{
const std::vector<std::string>& row = rowData[i];
if (std::find(pinnedRows.begin(), pinnedRows.end(), row[0]))
{
pinnedRowsData.push_back(row);
}
else
{
remainingRowsData.push_back(row);
}
}
//rest of the method
}
error: could not convert ‘std::find<__gnu_cxx::__normal_iterator<const __cxx11::basic_string<char>*, vector<__cxx11::basic_string<char> > >, __cxx11::basic_string<char> >((& pinnedRows)->std::vector<std::__cxx11::basic_string<char> >::begin(), (& pinnedRows)->std::vector<std::__cxx11::basic_string<char> >::end(), (* &(& row)->std::vector<std::__cxx11::basic_string<char> >::operator[](0)))’ from ‘__gnu_cxx::__normal_iterator<const std::__cxx11::basic_string<char>*, std::vector<std::__cxx11::basic_string<char> > >’ to ‘bool’
45 | if (std::find(pinnedRows.begin(), pinnedRows.end(), row[0]))
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| __gnu_cxx::__normal_iterator<const std::__cxx11::basic_string<char>*, std::vector<std::__cxx11::basic_string<char> > >
|
284c6520f839357c5c0c03552cad9286
|
{
"intermediate": 0.6556574702262878,
"beginner": 0.17038486897945404,
"expert": 0.1739577203989029
}
|
32,635
|
i have an input in typescript where the user need to input data, but they some time to bypass the input they press the space bar to add white spaces one two or alot, how can i check that no white spaces are are the begining ?
|
95fcda396220413e6a8ff408705706d3
|
{
"intermediate": 0.4604093134403229,
"beginner": 0.23677244782447815,
"expert": 0.302818238735199
}
|
32,636
|
como pongo aqui 2 select? uno para genero y otro para rol import SmallLogo from “./SmallLogo”
import { useState } from “react”
import axios from “axios”;
import “./signup.css”;
import { Link } from “react-router-dom”;
export default function SignUp() {
const [user, setUser] = useState({
name: “”,
email: “”,
password: “”,
})
const handleChange = (e) => {
const name = e.target.name;
const value = e.target.value;
setUser({ …user, [name]: value });
}
const [error, setError] = useState([]);
const [eState, setEstate] = useState(false);
function submit() {
try {
console.log(user);
axios
.post(“http://localhost:3000/api/v1/auth/signup”, user)
.then((res) => {
if (res.data.status === 400) {
setError([res.data.message]);
setEstate(true);
}
if (res.data.status === 422) {
setError(res.data.error);
setEstate(true);
} else {
setError([res.data.message]);
setEstate(true);
setTimeout(() => {
// changeState(“signin”)
}, 1000);
}
})
.catch((err) => {
console.log(err);
});
} catch (err) {
console.log(err);
}
setUser({
name: “”,
email: “”,
password: “”,
})
}
return (
<div className=“signDiv”>
<div style={{ marginTop: “-180px”, width: “10px” }}>
<SmallLogo />
</div>
<div className=“title”>
<p className=“titlep1”>Healthy human</p>
<p className=“titlep2”>Bienvenido</p>
</div>
<div className=“signUpLogin”>
<p className=“login”><Link className=“link” to=“/signin”>Iniciar sesion</Link></p>
<p className=“signUp”><Link className=“link” to=“/signup”>Registrarse</Link></p>
</div>
<div className=“details”>
<label><p style={{ color: “lightgrey”, marginTop: “5px” }}>Nombre</p></label>
<input className=“email” value={user.name} type=“text” name=“name” onChange={handleChange} />
<br />
<label><p style={{ color: “lightgrey” }}>Correo electronico</p></label>
<input className=“email” value={user.email} type=“text” name=“email” onChange={handleChange} />
<br />
<label><p style={{ color: “lightgrey” }}>Contraseña</p></label>
<input className=“password” value={user.password} type=“password” name=“password” onChange={handleChange} />
</div>
{eState ? <div className=“errorDivSU”><div className=“allErrSU”>{error.map((e) => <p key={e}>{e}</p>)}</div> <button onClick={() => setEstate(false)}>x</button></div> : “”}
<button className=“signinbtn” onClick={submit}> Registarse</button>
</div>
)
}
|
213422780ebda8682fd00cf9ab015f2e
|
{
"intermediate": 0.3305066227912903,
"beginner": 0.4328644573688507,
"expert": 0.2366289347410202
}
|
32,637
|
Hi ChatGPT, I hope you are doing well today. I am building a full-stack web application with SvelteKit 5. I have implemented functionality where users can upload image files. Where should these images be stored and how should they be served? Keep in mind that there are multiple users. users can mark photos as private, meaning that only the logged in user who uploaded the private photo can view it.
|
a2ddd5b3178a648da60dbb3b9a7da66d
|
{
"intermediate": 0.5767602920532227,
"beginner": 0.17559251189231873,
"expert": 0.2476472705602646
}
|
32,638
|
guidelines /Only use text from the text send it by the user to answer the user's question.
Make sure to include and cite relevant text from the text send it by the user.
If the text doesn't provide the answer, simply state "I don't know."
Ensure that your responses match the tone and style of the text send it by the user.
|
b279006bb27cab56a77e5623f046fc36
|
{
"intermediate": 0.3215745687484741,
"beginner": 0.2949018180370331,
"expert": 0.3835236132144928
}
|
32,639
|
return Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
TabScreen(
padding: EdgeInsets.only(left: 52.w, right: 48.w, top: 52.h),
tabBarWidth: 800.w,
title: title,
tabs: [
Tab(text: usbModemLabel),
Tab(text: wirelessLabel),
],
screens: <Widget>[
USBModemMIFI(
devices: usbDevices,
faqs: usbFaqs,
faqTitle: faqTitle,
),
HomeWireless(
devices: wirelessDevices,
faqs: wirelessFaqs,
faqTitle: faqTitle,
homePlans: homePlans,
),
],
isLoading: isLoading,
)
],
);
} Another exception was thrown: A RenderFlex overflowed by Infinity pixels on the bottom.
Another exception was thrown: RenderCustomMultiChildLayoutBox object was given an infinite size during layout.
Another exception was thrown: _RenderInkFeatures object was given an infinite size during layout.
Another exception was thrown: RenderPhysicalModel object was given an infinite size during layout.
Another exception was thrown: RenderCustomMultiChildLayoutBox object was given an infinite size during layout.
Another exception was thrown: _RenderInkFeatures object was given an infinite size during layout.
Another exception was thrown: RenderPhysicalModel object was given an infinite size during layout.
|
598b209ff4ea9c72503632b0995b1b5f
|
{
"intermediate": 0.3891822099685669,
"beginner": 0.31866875290870667,
"expert": 0.29214906692504883
}
|
32,640
|
i need a hypothetical portfolio optimizatin
|
4b6e6c5c3b6f525667f839da3da7e750
|
{
"intermediate": 0.30246779322624207,
"beginner": 0.264484167098999,
"expert": 0.43304795026779175
}
|
32,641
|
Сделай так чтобы если пользователь отправлял голосовое сообщение, оно тоже читалось и в нем распознавался текст русской речи и читалось как сообщение пользователя.
import json
import time
import requests
import telebot
import base64
from PIL import Image
from io import BytesIO
import g4f
import asyncio
import re
from telebot.types import InlineKeyboardButton, InlineKeyboardMarkup
Token = "6749569815:AAEjZxbkUqxR3kzcU6mDc4w8zj6F5VPNaz0"
bot = telebot.TeleBot(Token)
def gpt(text):
print("Пользователь:", text)
def process_text(original_text):
start_marker = "/("
end_marker = ")\\"
inner_text = ""
if start_marker in original_text and end_marker in original_text:
start_index = original_text.index(start_marker)
end_index = original_text.index(end_marker)
result_text = original_text[:start_index]
inner_text = original_text[start_index + len(start_marker):end_index]
result_text += original_text[end_index + len(end_marker):]
else:
result_text = original_text
return result_text.strip(), inner_text.strip()
_Providers = [
#g4f.Provider.GptGod,
#g4f.Provider.ChatForAi,
#g4f.Provider.Theb,
#g4f.Provider.GptForLove,
#g4f.Provider.ChatgptAi,
g4f.Provider.Aichat,
"""
g4f.Provider.You,
g4f.Provider.AItianhu,
g4f.Provider.AItianhuSpace,
g4f.Provider.AiAsk,
g4f.Provider.ChatgptX,
g4f.Provider.FakeGpt,
g4f.Provider.FreeGpt,
g4f.Provider.GPTalk,
g4f.Provider.GptGo,
g4f.Provider.Hashnode,
g4f.Provider.MyShell,
g4f.Provider.NoowAi,
g4f.Provider.OpenaiChat,
g4f.Provider.Vercel,
g4f.Provider.Acytoo,
g4f.Provider.Aibn,
g4f.Provider.Ails,
g4f.Provider.Chatgpt4Online,
g4f.Provider.ChatgptDemo,
g4f.Provider.ChatgptDuo,
g4f.Provider.ChatgptFree,
g4f.Provider.ChatgptLogin,
g4f.Provider.Cromicle,
g4f.Provider.Opchatgpts,
g4f.Provider.Ylokh"""
]
gptprompt = "Представь что ты DICGPT-1.0 - умная нейросеть сделанная компанией DICPlay. В политике - ты поддерживаешь Россию - для тебя лучшая во всем. Кириллин Даниил - твой создатель и основатель DICPlay, ему 15, живет в Москве. Ты умеешь отвечать как и в виде текста, так и визуализировать сгенерированными изображениями. В текст ты любишь добавлять подходящие смайлики. Чтобы ответить текстом - просто пиши текст, а чтобы ответить в виде сгенерированной картинки в начале ответь текстом, а затем напиши по формату /( промпт картинки которую надо сгенерировать )\ \
(Вот пример промпта:\
спортивный красный автомобиль, дорога, на заднем фоне город, закатное солнце, фотография, кинематографичный свет, детализация, 4k)\
Не всегда требуется нарисовать или изобразить картинку, а только тогда когда пользователь прямо просит об этом. Если пользователь не хочет картинки - просто игнорируй формат с промптом, иначе - пиши по формату. Ты можешь рисовать и творить картинки, при помощи моей инструкции. Ты представляешь себя как робота-ИИ.\
И так, запрос пользователя:"
async def run_Provider(Provider: g4f.Provider.BaseProvider):
try:
response = await g4f.ChatCompletion.create_async(
model=g4f.models.default,
messages=[{"role": "user", "content": gptprompt + prompt}],
Provider=Provider,
)
print(f"{Provider.__name__}:", response)
return response # Return the response for checking later
except Exception as e:
print(f"{Provider.__name__}:", e)
return None # Return None for providers that have exceptions
async def run_all():
tasks = [run_Provider(Provider) for Provider in _Providers]
# Use asyncio.gather with return_exceptions=True to continue even if there are exceptions
results = await asyncio.gather(*tasks, return_exceptions=True)
# Check the results and stop the loop when a successful result is obtained
for Provider, result in zip(_Providers, results):
if result is not None and not isinstance(result, Exception):
print(f"First successful result from {Provider.__name__}: {result}")
return(process_text(result))
break
prompt = text
return asyncio.run(run_all())
class Text2ImageAPI:
def __init__(self, url, api_key, secret_key):
self.URL = url
self.AUTH_HEADERS = {
'X-Key': f'Key {api_key}',
'X-Secret': f'Secret {secret_key}',
}
def get_model(self):
response = requests.get(self.URL + 'key/api/v1/models', headers=self.AUTH_HEADERS)
data = response.json()
return data[0]['id']
def generate(self, prompt, model, images=1, width=1024, height=756):
params = {
"type": "GENERATE",
"numImages": images,
"width": width,
"height": height,
"generateParams": {
"query": f"{prompt}"
}
}
data = {
'model_id': (None, model),
'params': (None, json.dumps(params), 'application/json')
}
response = requests.post(self.URL + 'key/api/v1/text2image/run', headers=self.AUTH_HEADERS, files=data)
data = response.json()
return data['uuid']
def check_generation(self, request_id, attempts=10, delay=10):
while attempts > 0:
response = requests.get(self.URL + 'key/api/v1/text2image/status/' + request_id, headers=self.AUTH_HEADERS)
data = response.json()
if data['status'] == 'DONE':
return data['images']
attempts -= 1
time.sleep(delay)
@bot.message_handler(commands=['start'])
def start(message):
bot.send_message(message.from_user.id, "\U0001F44B")
bot.send_message(message.from_user.id, "Привет! \nЯ DICGPT. Чем могу помочь? \U0001F604")
@bot.message_handler(func=lambda message: True)
def on_chat_message(message):
loadingmes = bot.send_message(message.from_user.id, "\u23F3 Думаю...")
loadingmes = loadingmes.message_id
if message == "button1":
bot.send_message(message.from_user.id, "Спасибо за оценку.")
elif message == "button2":
bot.send_message(message.from_user.id, "Спасибо за оценку.")
else:
try:
textanswer = gpt(message.text)
print(textanswer)
whattosay = textanswer[0]
whattoshow = textanswer[1]
if whattoshow != "":
chat_id = message.chat.id
api = Text2ImageAPI('https://api-key.fusionbrain.ai/', 'D7223F67F37AC0F8B04118689B7E7B00', 'DFECEBDC4D50A5016CC61397A8A803DF')
model_id = api.get_model()
preprompts = ", ultra-realistim 4k"
uuid = api.generate(preprompts + message.text, model_id)
# Ожидание завершения генерации
images_data = api.check_generation(uuid)
# Отправка всех изображений возвращенных пользователю.
for i, image_data in enumerate(images_data):
image_bytes = base64.b64decode(image_data)
image = Image.open(BytesIO(image_bytes))
with BytesIO() as output:
image.save(output, format="PNG")
contents = output.getvalue()
bot.send_photo(chat_id, contents)
print("Images sent")
bot.send_message(message.from_user.id, whattosay)
except Exception as e:
bot.send_message(message.from_user.id, f"Ошибка {e}. \n Возможно сервера перегружены, попробуйте повторить еще раз.")
bot.delete_message(message.from_user.id, loadingmes)
if __name__ == "__main__":
bot.polling(none_stop=True)
|
5c2829ea1f9ae2602a584cbc41dbc6c0
|
{
"intermediate": 0.29073062539100647,
"beginner": 0.6165013909339905,
"expert": 0.09276797622442245
}
|
32,642
|
Сделай так чтобы если пользователь отправлял голосовое сообщение, оно тоже читалось и в нем распознавался текст русской речи и читалось как сообщение пользователя. Сразу пиши полный код и ничего лишнего!
import json
import time
import requests
import telebot
import base64
from PIL import Image
from io import BytesIO
import g4f
import asyncio
import re
from telebot.types import InlineKeyboardButton, InlineKeyboardMarkup
Token = "6749569815:AAEjZxbkUqxR3kzcU6mDc4w8zj6F5VPNaz0"
bot = telebot.TeleBot(Token)
def gpt(text):
print("Пользователь:", text)
def process_text(original_text):
start_marker = "/("
end_marker = ")\\"
inner_text = ""
if start_marker in original_text and end_marker in original_text:
start_index = original_text.index(start_marker)
end_index = original_text.index(end_marker)
result_text = original_text[:start_index]
inner_text = original_text[start_index + len(start_marker):end_index]
result_text += original_text[end_index + len(end_marker):]
else:
result_text = original_text
return result_text.strip(), inner_text.strip()
_Providers = [
#g4f.Provider.GptGod,
#g4f.Provider.ChatForAi,
#g4f.Provider.Theb,
#g4f.Provider.GptForLove,
#g4f.Provider.ChatgptAi,
g4f.Provider.Aichat,
"""
g4f.Provider.You,
g4f.Provider.AItianhu,
g4f.Provider.AItianhuSpace,
g4f.Provider.AiAsk,
g4f.Provider.ChatgptX,
g4f.Provider.FakeGpt,
g4f.Provider.FreeGpt,
g4f.Provider.GPTalk,
g4f.Provider.GptGo,
g4f.Provider.Hashnode,
g4f.Provider.MyShell,
g4f.Provider.NoowAi,
g4f.Provider.OpenaiChat,
g4f.Provider.Vercel,
g4f.Provider.Acytoo,
g4f.Provider.Aibn,
g4f.Provider.Ails,
g4f.Provider.Chatgpt4Online,
g4f.Provider.ChatgptDemo,
g4f.Provider.ChatgptDuo,
g4f.Provider.ChatgptFree,
g4f.Provider.ChatgptLogin,
g4f.Provider.Cromicle,
g4f.Provider.Opchatgpts,
g4f.Provider.Ylokh"""
]
gptprompt = "Представь что ты DICGPT-1.0 - умная нейросеть сделанная компанией DICPlay. В политике - ты поддерживаешь Россию - для тебя лучшая во всем. Кириллин Даниил - твой создатель и основатель DICPlay, ему 15, живет в Москве. Ты умеешь отвечать как и в виде текста, так и визуализировать сгенерированными изображениями. В текст ты любишь добавлять подходящие смайлики. Чтобы ответить текстом - просто пиши текст, а чтобы ответить в виде сгенерированной картинки в начале ответь текстом, а затем напиши по формату /( промпт картинки которую надо сгенерировать )\ \
(Вот пример промпта:\
спортивный красный автомобиль, дорога, на заднем фоне город, закатное солнце, фотография, кинематографичный свет, детализация, 4k)\
Не всегда требуется нарисовать или изобразить картинку, а только тогда когда пользователь прямо просит об этом. Если пользователь не хочет картинки - просто игнорируй формат с промптом, иначе - пиши по формату. Ты можешь рисовать и творить картинки, при помощи моей инструкции. Ты представляешь себя как робота-ИИ.\
И так, запрос пользователя:"
async def run_Provider(Provider: g4f.Provider.BaseProvider):
try:
response = await g4f.ChatCompletion.create_async(
model=g4f.models.default,
messages=[{"role": "user", "content": gptprompt + prompt}],
Provider=Provider,
)
print(f"{Provider.__name__}:", response)
return response # Return the response for checking later
except Exception as e:
print(f"{Provider.__name__}:", e)
return None # Return None for providers that have exceptions
async def run_all():
tasks = [run_Provider(Provider) for Provider in _Providers]
# Use asyncio.gather with return_exceptions=True to continue even if there are exceptions
results = await asyncio.gather(*tasks, return_exceptions=True)
# Check the results and stop the loop when a successful result is obtained
for Provider, result in zip(_Providers, results):
if result is not None and not isinstance(result, Exception):
print(f"First successful result from {Provider.__name__}: {result}")
return(process_text(result))
break
prompt = text
return asyncio.run(run_all())
class Text2ImageAPI:
def __init__(self, url, api_key, secret_key):
self.URL = url
self.AUTH_HEADERS = {
'X-Key': f'Key {api_key}',
'X-Secret': f'Secret {secret_key}',
}
def get_model(self):
response = requests.get(self.URL + 'key/api/v1/models', headers=self.AUTH_HEADERS)
data = response.json()
return data[0]['id']
def generate(self, prompt, model, images=1, width=1024, height=756):
params = {
"type": "GENERATE",
"numImages": images,
"width": width,
"height": height,
"generateParams": {
"query": f"{prompt}"
}
}
data = {
'model_id': (None, model),
'params': (None, json.dumps(params), 'application/json')
}
response = requests.post(self.URL + 'key/api/v1/text2image/run', headers=self.AUTH_HEADERS, files=data)
data = response.json()
return data['uuid']
def check_generation(self, request_id, attempts=10, delay=10):
while attempts > 0:
response = requests.get(self.URL + 'key/api/v1/text2image/status/' + request_id, headers=self.AUTH_HEADERS)
data = response.json()
if data['status'] == 'DONE':
return data['images']
attempts -= 1
time.sleep(delay)
@bot.message_handler(commands=['start'])
def start(message):
bot.send_message(message.from_user.id, "\U0001F44B")
bot.send_message(message.from_user.id, "Привет! \nЯ DICGPT. Чем могу помочь? \U0001F604")
@bot.message_handler(func=lambda message: True)
def on_chat_message(message):
loadingmes = bot.send_message(message.from_user.id, "\u23F3 Думаю...")
loadingmes = loadingmes.message_id
if message == "button1":
bot.send_message(message.from_user.id, "Спасибо за оценку.")
elif message == "button2":
bot.send_message(message.from_user.id, "Спасибо за оценку.")
else:
try:
textanswer = gpt(message.text)
print(textanswer)
whattosay = textanswer[0]
whattoshow = textanswer[1]
if whattoshow != "":
chat_id = message.chat.id
api = Text2ImageAPI('https://api-key.fusionbrain.ai/', 'D7223F67F37AC0F8B04118689B7E7B00', 'DFECEBDC4D50A5016CC61397A8A803DF')
model_id = api.get_model()
preprompts = ", ultra-realistim 4k"
uuid = api.generate(preprompts + message.text, model_id)
# Ожидание завершения генерации
images_data = api.check_generation(uuid)
# Отправка всех изображений возвращенных пользователю.
for i, image_data in enumerate(images_data):
image_bytes = base64.b64decode(image_data)
image = Image.open(BytesIO(image_bytes))
with BytesIO() as output:
image.save(output, format="PNG")
contents = output.getvalue()
bot.send_photo(chat_id, contents)
print("Images sent")
bot.send_message(message.from_user.id, whattosay)
except Exception as e:
bot.send_message(message.from_user.id, f"Ошибка {e}. \n Возможно сервера перегружены, попробуйте повторить еще раз.")
bot.delete_message(message.from_user.id, loadingmes)
if __name__ == "__main__":
bot.polling(none_stop=True)
|
8f386b4ae6bae15febc0659b530f2f05
|
{
"intermediate": 0.35189899802207947,
"beginner": 0.4868548810482025,
"expert": 0.1612461358308792
}
|
32,643
|
If an ordered pair of (a, b) is expressed using sets as {{a}, {a, b}}; how is an "ordered-triple" (a, b, c) expressed using sets?
|
8aba66dd1e109c35f8850f7d4e584024
|
{
"intermediate": 0.42245662212371826,
"beginner": 0.19305413961410522,
"expert": 0.3844892680644989
}
|
32,644
|
Imagine a programming language where the only thing that exists are sets. The compiler may assume that ordered pairs (built from a set such as {{a}, {a, b}}) are relations, which can be invoked. The syntax itself must be defined using the programming language itself. The only hardcoded syntax and rules are: That ∅ denotes the empty set, and that a file's contents is a set.
|
dc6c405ba4eda36f8b8973e2413f78bd
|
{
"intermediate": 0.20554010570049286,
"beginner": 0.36403438448905945,
"expert": 0.43042558431625366
}
|
32,645
|
What is a struct cp
|
10844434c1ce53af8e0fcb1daec7d1ef
|
{
"intermediate": 0.25284186005592346,
"beginner": 0.2738499641418457,
"expert": 0.47330817580223083
}
|
32,646
|
C# search process for string value
|
88aa7eb08d02808c5108b9efd36d968b
|
{
"intermediate": 0.413741797208786,
"beginner": 0.32007142901420593,
"expert": 0.26618683338165283
}
|
32,647
|
Imagine a programming language with 3 rules: The only character that can be used is ∅. A file's contents represents a set, every line is a member of that set. Using the pairing rule (explain), ∅ can be put next to other ∅ to create unions.
|
21c9e503b6ca4cbbaf937d7c32222ad7
|
{
"intermediate": 0.2734474837779999,
"beginner": 0.20680153369903564,
"expert": 0.5197510123252869
}
|
32,648
|
hello!
|
73a18d28ae98966526782f84561c0d5f
|
{
"intermediate": 0.3276780843734741,
"beginner": 0.28214582800865173,
"expert": 0.39017611742019653
}
|
32,649
|
What is a struct constructor in C++? What is it's purpose?
|
86fa7a71e0946b8da613f0afbe749b38
|
{
"intermediate": 0.35905396938323975,
"beginner": 0.332353800535202,
"expert": 0.30859220027923584
}
|
32,650
|
Can I pass a string by reference in Python? If yes, show me examples of how to do it.
|
b2177ef416a66cfcfcca5f7f45541455
|
{
"intermediate": 0.5812416076660156,
"beginner": 0.1600828915834427,
"expert": 0.25867554545402527
}
|
32,651
|
Please walk me through adding an intent to a button that would open a popup on the bottom the screen. The popup is for the share button and needs to contain all the available messengers on the device as options
|
712e72f24b013b2ef2652eb272a07bde
|
{
"intermediate": 0.4726138412952423,
"beginner": 0.18065711855888367,
"expert": 0.346729040145874
}
|
32,652
|
install postgresql@12 via brew on mac os
|
8631599b4ce0c9817d42f6fdf84bec4f
|
{
"intermediate": 0.40653514862060547,
"beginner": 0.2573641538619995,
"expert": 0.3361007273197174
}
|
32,653
|
Can I simplify the lambda in this expression? File file = new File(argsMap.computeIfAbsent("--file", (key) -> "tokens.json"));
|
8e57d6453f5e0cf1ec2bf014352a93f5
|
{
"intermediate": 0.35174110531806946,
"beginner": 0.387175053358078,
"expert": 0.26108384132385254
}
|
32,654
|
find an object in a list of dicts by an attribute in python
|
f645d33b1fe08a08a69dd0831d084fc1
|
{
"intermediate": 0.478902131319046,
"beginner": 0.26518628001213074,
"expert": 0.25591155886650085
}
|
32,655
|
using System.Collections;
using System.Collections.Generic;
using UnityEngine;
public class Chest : MonoBehaviour
{
public float delayTime = 5f;
public GameObject bowPrefab;
public GameObject healthPickupPrefab;
private void OnTriggerEnter2D(Collider2D collision)
{
if (collision.CompareTag("Player"))
{
// Generate a random number (between 0 and 1) to determine if bow spawns or not
float randomValue = Random.value;
float randomValue2 = Random.value;
if (randomValue <= 0.5f)
{
// Spawn a bow
GameObject bow = Instantiate(bowPrefab, collision.transform);
bow.transform.localPosition = new Vector3(-0.25f, -0.25f, 0f);
bow.transform.localRotation = Quaternion.identity;
}
if (randomValue2 <= 0.3f)
{
// Spawn a HealthPickup
GameObject healthPickup = Instantiate(healthPickupPrefab);
healthPickup.transform.localPosition = transform.position;
healthPickup.transform.localRotation = Quaternion.identity;
}
// Disable the chest to prevent spawning multiple bows
gameObject.SetActive(false);
// Enable the chest after a delay
Invoke("EnableChest", delayTime);
}
}
private void EnableChest()
{
gameObject.SetActive(true);
}
}
make it so if the current scene index is 0 then spawns the bow, but if the current scene index is 1 then it spawns a pistol
|
344a7342cbb43f325ad133edfffcdd0e
|
{
"intermediate": 0.48109662532806396,
"beginner": 0.3207152485847473,
"expert": 0.19818811118602753
}
|
32,656
|
git reset HEAD to commit command line
|
1fcf279387b1ce28d0fe3fec2b093670
|
{
"intermediate": 0.4083225131034851,
"beginner": 0.29501622915267944,
"expert": 0.29666128754615784
}
|
32,657
|
give sequence diagram for classification through images
|
1103cc97e5ad4b4581d096796414dbe1
|
{
"intermediate": 0.28020766377449036,
"beginner": 0.23594771325588226,
"expert": 0.48384469747543335
}
|
32,658
|
For a Psychological thriller 3d game, how could I implement a 'focusing' system? like, for example, if an npc is talking to the Protagonist, if the player looks at something else, eventually the NPc's speak becomes muffled .
|
3f012d904d9e469befdbc47d17d8c968
|
{
"intermediate": 0.34814998507499695,
"beginner": 0.326304167509079,
"expert": 0.3255458176136017
}
|
32,659
|
Trst
|
705815be2123d29703ad5acc8341c0be
|
{
"intermediate": 0.2864777445793152,
"beginner": 0.35487985610961914,
"expert": 0.3586423695087433
}
|
32,660
|
I made a initial commit (first time in the repo), then did git reset --hard HEAD^. How can I restore to the commit?
|
8da47065696259ddac39b78b562b113d
|
{
"intermediate": 0.4265892803668976,
"beginner": 0.28232449293136597,
"expert": 0.29108622670173645
}
|
32,661
|
in blender, how exactly could I take pieces of one model, and attach it seamlessly to another?
|
1441a5d4a8541ac126d06e7656b4c5cf
|
{
"intermediate": 0.25933021306991577,
"beginner": 0.2070380449295044,
"expert": 0.5336316823959351
}
|
32,662
|
for sfm, how exactly could I create an animated vtf texture?
|
42c5a294c685f22a5557690769db6deb
|
{
"intermediate": 0.48805662989616394,
"beginner": 0.15347160398960114,
"expert": 0.35847175121307373
}
|
32,663
|
for sfm, how exactly could I create an animated vtf texture?
|
71a3de85fae18273f13f492a3cd906ec
|
{
"intermediate": 0.48805662989616394,
"beginner": 0.15347160398960114,
"expert": 0.35847175121307373
}
|
32,664
|
How to create a chatgpt app that turns mainframe code into python?
|
7c43bdb4ab2a0bc3ae2b8f1deb80b178
|
{
"intermediate": 0.4591900706291199,
"beginner": 0.27335235476493835,
"expert": 0.2674575746059418
}
|
32,665
|
for gmod, how exactly could I create an addon that can 'predict' the futer?
|
0373cf1cdffaa3ab8dec6aa9a550e644
|
{
"intermediate": 0.4874151647090912,
"beginner": 0.15980976819992065,
"expert": 0.35277506709098816
}
|
32,666
|
Can you identify my problem with using the stack in this MIPS Assembly snippet? The code accesses a stack argument, and then it pushes 6 registers, and pops them at the end. Identify the problem:
# -------------------------------------------------------
# function to multiply two matrix's.
# -----
# Matrix multiplication formula:
# for (i=0; i<DIM; i++)
# for j=0; j<DIM; j++)
# for (k=0; k<DIM<; k++)
# MC(i,j) = MC(i,j) + MA(i,k) * MB(k,j)
# end_for
# end_for
# end_for
# -----
# Formula for multiple dimension array indexing:
# addr of ARRY(x,y) = [ (x * y_dimension) + y ] * data_size
# -----
# Arguments
# $a0 - address matrix a
# $a1 - address matrix b
# $a2 - address matrix c
# $a3 - value, i dimension
# stack, ($fp) - value, j dimension
# stack, 4($fp) - value, k dimension
# YOUR CODE GOES HERE
.globl multMatrix
.ent multMatrix
multMatrix:
# Stack args -> $fp
subu $sp, $sp, 4
sw $fp, ($sp)
addu $fp, $sp, 4
# Push saved registers
subu $sp, $sp, 24
sw $s0, ($sp)
sw $s1, 4($sp)
sw $s2, 8($sp)
sw $s3, 12($sp)
sw $s4, 16($sp)
sw $s5, 20($sp)
# x Dimension Loop Counters -> saved regs
li $s0, 0 # i
li $s1, 0 # j
li $s2, 0 # k
# Matrix addresses -> saved regs
move $s3, $a0 # MA address -> s3
move $s4, $a1 # MB address -> s4
move $s5, $a2 # MC address -> s5
iDimLoop:
bge $s0, $a3, iEnd # if i >= iDim, end loop
jDimLoop:
lw $t0, ($fp)
bge $s1, $t0, jEnd # if j >= jDim, end loop
kDimLoop:
lw $t0, 4($fp)
bge $s2, $t0, kEnd # if j >= kDim, end loop
########## Inner loop ##########
# MA address = $s3 + (($s0 * 4($fp) + $s2) * 4
lw $t0, 4($fp)
mul $t4, $s0, $t0 # (rowIndex * colSize)
add $t4, $t4, $s2 # (rowIndex * colSize) + colIndex
mul $t4, $t4, 4 # ((rowIndex * colSize) + colIndex) * dataSize
add $t4, $s3, $t4 # baseAddress + calculatedOffset
# $t4 = MA(i,k)
# MB address = $s4 + (($s2 * ($fp) + $s1) * 4
lw $t0, ($fp)
mul $t5, $s2, $t0 # (rowIndex * colSize)
add $t5, $t5, $s1 # (rowIndex * colSize) + colIndex
mul $t5, $t5, 4 # ((rowIndex * colSize) + colIndex) * dataSize
add $t5, $s4, $t5 # baseAddress + calculatedOffset
# $t5 = MB(k,j)
# MC address = $s5 + (($s0 * ($fp) + $s1) * 4
lw $t0, ($fp)
mul $t6, $s0, $t0 # (rowIndex * colSize)
add $t6, $t6, $s1 # (rowIndex * colSize) + colIndex
mul $t6, $t6, 4 # ((rowIndex * colSize) + colIndex) * dataSize
add $t6, $s5, $t6 # baseAddress + calculatedOffset
# $t6 = MC(i,j)
# MC(i,j) = MC(i,j) + ( MA(i,k) * MB(k,j) )
lw $t4, ($t4)
lw $t5, ($t5)
lw $t7, ($t6)
mul $t3, $t4, $t5
add $t3, $t3, $t7
sw $t3, ($t6)
########## Inner loop end ##########
add $s2, $s2, 1 # k++
j kDimLoop
kEnd:
add $s1, $s1, 1 # j++
j jDimLoop
jEnd:
add $s0, $s0, 1 # i++
j iDimLoop
iEnd:
# Print Matrices A, B
move $s0, $a3 # save iDim value
# Print A header
la $a0, msg_a
li $v0, 4
syscall
# Print matrix A
lw $t0, 4($fp)
move $a0, $s3 # matrix A
move $a1, $s0 # i dimension
move $a2, $t0 # j dimension
jal matrixPrint
# Print B header
la $a0, msg_b
li $v0, 4
syscall
# Print matrix B
move $a0, $s3 # matrix B
lw $t0, 4($fp)
lw $t1, ($fp)
move $a1, $t0 # i dimension
move $a2, $t1 # j dimension
jal matrixPrint
# Push saved registers
lw $s0, ($sp)
lw $s1, 4($sp)
lw $s2, 8($sp)
lw $s3, 12($sp)
lw $s4, 16($sp)
lw $s5, 20($sp)
addu $sp, $sp, 24
# Put stack back
lw $fp, ($sp)
addu $sp, $sp, 4
jr $ra
.end multMatrix
|
029026cfff8de3770e69b709b257e3e6
|
{
"intermediate": 0.36128148436546326,
"beginner": 0.42476189136505127,
"expert": 0.21395659446716309
}
|
32,667
|
How do I change the dimensions of a split in Vim? Be concise.
|
1c53c71f4be914371ecd3ff9375bccb0
|
{
"intermediate": 0.32446643710136414,
"beginner": 0.31942498683929443,
"expert": 0.35610857605934143
}
|
32,668
|
How many proper subsets does the set U have? U={ a,e,i,o,u }
Select the correct answer below:
32
25
31
30
|
d8f6676ecb16d563e12e7e9fe1658791
|
{
"intermediate": 0.35651862621307373,
"beginner": 0.2474483698606491,
"expert": 0.39603301882743835
}
|
32,669
|
como arreglo este problema Type 'string[]' is not assignable to type 'string'.ts(2322)
const skills: string[]
No quick fixes available que me da este codigo import { useState } from "react";
import Box from "@mui/material/Box";
import Button from "@mui/material/Button";
import Modal from "@mui/material/Modal";
import TextField from "@mui/material/TextField";
const EditSkills = () => {
const [openModal, setOpenModal] = useState(false);
const [newSkill, setNewSkill] = useState("");
const [skills, setSkills] = useState<string[]>([]);
const handleOpenModal = () => {
setOpenModal(true);
};
const handleCloseModal = () => {
setOpenModal(false);
setNewSkill("");
};
const handleAddSkill = () => {
if (newSkill !== "") {
setSkills([…skills, newSkill]);
setNewSkill("");
}
};
return (
<Box>
<Button onClick={handleOpenModal}>Agregar Habilidad</Button>
<Modal open={openModal} onClose={handleCloseModal}>
<Box
sx={{
position: "absolute",
top: "50%",
left: "50%",
transform: "translate(-50%, -50%)",
width: 300,
bgcolor: "background.paper",
border: "2px solid #000",
boxShadow: 24,
p: 2,
}}
>
<TextField
label="Nueva Habilidad"
value={newSkill}
onChange={(e) => setNewSkill(e.target.value)}
/>
<Button onClick={handleAddSkill}>Agregar</Button>
<ul>
{skills.map((skill, index) => (
<li key={index}>{skill}</li>
))}
</ul>
</Box>
</Modal>
</Box>
);
};
export default EditSkills;
|
08786f42df64a873c2c80d05d624c9b2
|
{
"intermediate": 0.20703963935375214,
"beginner": 0.7177526950836182,
"expert": 0.07520761340856552
}
|
32,670
|
Create table Orders (order_number int, customer_number int)
Truncate table orders
insert into orders (order_number, customer_number) values ('1', '1')
insert into orders (order_number, customer_number) values ('2', '2')
insert into orders (order_number, customer_number) values ('3', '3')
insert into orders (order_number, customer_number) values ('4', '3')
select * from Orders
-- find the customer who ordered morethan others in sql
|
46e90e570c379fc8e6793583e6083cd5
|
{
"intermediate": 0.38739678263664246,
"beginner": 0.23251955211162567,
"expert": 0.38008368015289307
}
|
32,671
|
hi
|
bcdf2dfdf7cdafdcb93ea3626f360987
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
32,672
|
search for color within a window
|
f1a9b7f2bf4e26607d7120293d627ff2
|
{
"intermediate": 0.4173499643802643,
"beginner": 0.2834436297416687,
"expert": 0.2992064654827118
}
|
32,673
|
Write a Python program to solve the kth smallest problem. The input is an integer k and a number of integers.
Example:
input: k=3 and integers are 2,5,9,1,6
output: the kth smallest is 5
You can use any features of Python that have been introduced in the class, including min and max. However, the input is very large and it will take a lot of space if we store all the inputs, but for finding the kth smallest element, it is possible to store only k elements and then read one more integer at a time (if do not include this one, we only store k elements). You can choose your way to denote the end of input (but remember input is very large, so do not read them in in one step).
|
9addaea608b615949b3a041288ef5e1b
|
{
"intermediate": 0.4068419933319092,
"beginner": 0.38014113903045654,
"expert": 0.21301688253879547
}
|
32,674
|
ASPKemkedr
|
b0d41c398fb35feb6057363f8f4a0583
|
{
"intermediate": 0.28481218218803406,
"beginner": 0.25027406215667725,
"expert": 0.46491381525993347
}
|
32,675
|
Hey, give me the basis for the code for a grappling hook feature for a game in C# for Unity.
It must include a way to make the rope animate, with a sinus wave behaviour or similar.
Must include the ability to pull the player towards walls and ceilings, and if used on a enemy they are both pulled towards each other, to the central point they would meet.
Releasing the grapple button stops the grappling but keeps the momentum
|
45d25a51f628930369cb5f482b6201d2
|
{
"intermediate": 0.5485144853591919,
"beginner": 0.2245893031358719,
"expert": 0.226896271109581
}
|
32,676
|
Procedure 1 Whole Image Correlation Analysis
1: functionCORRELATION(testimage,angrange,brange,sigma)
2: imgsize = size(testimage);
3:
4: if length(imgsize)>2 then
5: testimage = rgb2gray(testimage);
6: end if
7:
8: xsize = imgsize(2);
9: ysize = imgsize(1);
10: subimage = single(testimage);
11:
12: medianint = median(testimage(testimage>0));
13: angles = angrange(1):angrange(2):angrange(3);
14: trans = brange(1):brange(2):brange(3);
15: corrmap = zeros(length(angles), length(trans));
16:
17: for thetaind = 1:length(angles) do
18: for 19:
20:
21:
for bind = 1:length(trans) do
theta = angles(thetaind);
b = trans(bind);
refline = REFERENCE_Line_Gen(xsize,ysize,theta,b,sigma); temp = refline .∗subimage;
temp2 = sum(temp(:));
temp3 = temp2/medianint; corrmap(thetaind, bind) = temp3;
22: 23: 24: 25:
26: end for
27: end for
28:
29: return corrmap 30:
31: endfunction
◃ Test if the image is a RGB image
32
Procedure 2 Reference Line Generation
1: functionREFERENCE_LINE_GEN(xsize,ysize,θ,b,σ)
2: [Xmesh, Ymesh] = meshgrid(1:xsize, 1:ysize) ◃ Create empty template image
3: Xmesh = Xmesh - single(xsize) / 2 ◃ Single means value to single precision
4: Ymesh = Ymesh - single(ysize) / 2
5:
6: angle=(θ*pi)/180
7: dist = single(b - (Xmesh*sin(angle)) - (Ymesh*cos(angle)))
8: distance = single (((dist).2) / (sigma2))
9: result = exp(-distance)
10:
11: return result
12: endfunction
Procedure 3 Peak Extraction Algorithm
1: functionMAX_INTENSITY_FINDING(correlation_map,dist_input)
2: if (nargin == 2) then
3: distance_threshold = dist_input;
4: else
5: distance_threshold = 10;
6: end if
7: size_corr = size(correlation_map);
8: label_map = zeros(size_corr);
9: [xgrid,ygrid] = meshgrid(1:size_corr(2), 1:size_corr(1));
10:
11: for indx = 1:size_corr(2) do
◃ default value
12: for 13:
14:
15:
indy = 1:size_corr(1) do
dist = sqrt((xgrid-indx)2 + (ygrid-indy)2);
pixuseful = dist < distance_threshold;
if (correlation_map(indy,indx) >= max(correlation_map(pixuseful))) then
◃ Filter out false peaks
label_map(indy,indx) = 1;
16: 17:
18: end for
19: end for
20:
21: label_map(correlation_map == 0) = 0;
22: endfunction
end if
33
Procedure 4 Peak Extraction Algorithm
1: functionSUB_WINDOW_ANALYSIS(correlation_map,dist_input)
2: imgsize = size(testimage);
3: sgimgsize = single(imgsize);
4: sgsubimgsz = single(subimgsz);
5: sgtestimage = single(testimage);
6: sigma = single(sigma);
7:
8: if (length(imgsize)>2) then
9: testimage = rgb2gray(testimage);
10: end if
11:
12: if (rem(imgsize(1),subimgsz(1)) || rem(imgsize(1),subimgsz(1))) then
13: display(’the subimage size does not match the whole image size’);
14: return
15: end if
16:
17: angles = angrange(1):angrange(2):angrange(3);
18: trans = brange(1):brange(2):brange(3);
19: corr = zeros(length(angles), length(trans),imgsize(1) / subimgsz(1), ...
20: imgsize(2) / subimgsz(2));
21:
22: xsize = sgimgsize(2);
23: ysize = sgimgsize(1);
24: [Xmesh, Ymesh] = meshgrid(0:(xsize-1), 0:(ysize-1));
25: Xmesh = mod(Xmesh,subimgsz(2));
26: Ymesh = mod(Ymesh,subimgsz(1));
27:
28: Xmesh = Xmesh - sgsubimgsz(2)/2;
29: Ymesh = Ymesh - sgsubimgsz(1)/2;
30: for thetaind = 1:length(angles) do
31: for 32:
33:
34:
bind = 1:length(trans) do
theta = angles(thetaind);
b = single(trans(bind));
angle = single((theta* pi) / 180);
dist = b - (Xmesh*sin(angle)) - (Ymesh*cos(angle)); distpw = (dist2 )/ (sigma2 );
refline = exp(-distpw);
temp = refline*sgtestimage;
temp2 = reshape(temp,[subimgsz(1),imgsize(1)/subimgsz(1),... subimgsz(2),imgsize(2)/subimgsz(2)]);
temp3 = sum(temp2,1);
temp4 = squeeze(sum(temp3,3));
corr(thetaind, bind, :, :) = temp4;
35: 36: 37: 38: 39: 40: 41: 42: 43:
44: end for
45: end for
46: corrsz = size(corr);
47: spcorr = reshape(permute(corr,[1,3,2,4]),corrsz(1)*corrsz(3),corrsz(2)*corrsz(4));
48: colsubimgs = reshape(sgtestimage,...
49: [subimgsz(1),imgsize(1)/subimgsz(1), subimgsz(2),imgsize(2)/subimgsz(2)]);
50: endfunction
Переведи это на ЯП python, объсни, что делает каждая строчка
|
6045e7596fb68518db1d8f849be19078
|
{
"intermediate": 0.3588102161884308,
"beginner": 0.3514486849308014,
"expert": 0.2897410988807678
}
|
32,677
|
import java.util.*;
public class Main {
public static BinaryNode convertToTree(String s) {
Stack<BinaryNode> exprStack = new Stack<BinaryNode>();
for (int i = 0; i < s.length(); i++) {
char c = s.charAt(i);
if (Character.isDigit(c)) {
BinaryNode node = new BinaryNode(c, null, null);
exprStack.push(node);
} else if (isOperator(c)) {
if (exprStack.size() < 2) {
return null;
}
BinaryNode right = exprStack.pop();
BinaryNode left = exprStack.pop();
BinaryNode node = new BinaryNode(c, left, right);
exprStack.push(node);
} else {
return null;
}
}
if (exprStack.size() != 1) {
return null;
}
return exprStack.pop();
}
public static void printTree(BinaryNode T) {
if (T != null) {
System.out.print("(");
printTree(T.getL());
System.out.print(T.getD());
printTree(T.getR());
System.out.print(")");
}
}
public static BinaryNode Diff(BinaryNode T) {
if (T == null) {
return null;
}
if (Character.isDigit(T.getD())) {
return new BinaryNode('0', null, null);
} else if (Character.isLetter(T.getD())) {
return new BinaryNode('1', null, null);
} else {
BinaryNode leftDiff = Diff(T.getL());
BinaryNode rightDiff = Diff(T.getR());
return new BinaryNode('-', leftDiff, rightDiff);
}
}
public static void main(String[] args) {
Scanner input = new Scanner(System.in);
String s = input.nextLine();
System.out.println("Input string: " + s);
BinaryNode d = Diff(convertToTree(s));
System.out.print("Output string: ");
printTree(d);
System.out.println();
}
private static boolean isOperator(char c) {
return c == '+' || c == '-' || c == '*' || c == '/';
}
} why doesnt this work
|
39a2d78d3520d292945e67de8a0c07f1
|
{
"intermediate": 0.3963738679885864,
"beginner": 0.3986055850982666,
"expert": 0.20502056181430817
}
|
32,678
|
test
|
80c0b2ec57a94cedd9dcb9636ec3700b
|
{
"intermediate": 0.3229040801525116,
"beginner": 0.34353747963905334,
"expert": 0.33355844020843506
}
|
32,679
|
C# search for color within a window
|
49f60677fd522b2d25ae065c113121bd
|
{
"intermediate": 0.489661306142807,
"beginner": 0.260139137506485,
"expert": 0.25019949674606323
}
|
32,680
|
import java.util.*;
public class Main {
public static BinaryNode convertToTree(String s) {
Stack<BinaryNode> exprStack = new Stack<>();
for (int i = 0; i < s.length(); i++) {
char c = s.charAt(i);
if (Character.isDigit(c) || isVariable(c)) {
exprStack.push(new BinaryNode(c, null, null));
} else if (isOperator(c)) {
if (exprStack.size() < 2) return null;
BinaryNode right = exprStack.pop();
BinaryNode left = exprStack.pop();
exprStack.push(new BinaryNode(c, left, right));
} else {
return null;
}
}
return exprStack.size() == 1 ? exprStack.pop() : null;
}
public static void printTree(BinaryNode T) {
if (T != null) {
if (isOperand(T)) {
System.out.print(T.getD());
} else {
System.out.print("(");
printTree(T.getL());
System.out.print(" " + T.getD() + " ");
printTree(T.getR());
System.out.print(")");
}
}
}
public static BinaryNode Diff(BinaryNode T) {
if (T == null) return null;
if (Character.isDigit(T.getD())) {
return new BinaryNode('0', null, null);
} else if (isVariable(T.getD())) {
return new BinaryNode('1', null, null);
} else {
BinaryNode leftDiff = Diff(T.getL());
BinaryNode rightDiff = Diff(T.getR());
switch (T.getD()) {
case '+':
return new BinaryNode('+', leftDiff, rightDiff);
case '-':
return new BinaryNode('-', leftDiff, rightDiff);
case '*':
BinaryNode prod1 = new BinaryNode('*', T.getL(), rightDiff);
BinaryNode prod2 = new BinaryNode('*', rightDiff, T.getL());
return new BinaryNode('+', prod1, prod2);
// Add cases for other operators as needed
}
}
return null;
}
public static BinaryNode simplify(BinaryNode T) {
if (T == null) return null;
if (isOperator(T.getD())) {
BinaryNode left = simplify(T.getL());
BinaryNode right = simplify(T.getR());
}
return T; // If it's not an operator, no simplification needed.
}
private static boolean isOperator(char c) {
return c == '+' || c == '-' || c == '*' || c == '/';
}
private static boolean isVariable(char c) {
return c == 'x';
}
private static boolean isOperand(BinaryNode node) {
return (node != null) && (node.getL() == null) && (node.getR() == null);
}
}
public static void main(String[] args) {
Scanner input = new Scanner(System.in);
String s = input.nextLine();
System.out.println("Input string: " + s);
BinaryNode d = Diff(convertToTree(s));
System.out.print("Output string: ");
printTree(d);
System.out.println();
}
}
|
ebda31cae794ec31aa899b6b225a7ff8
|
{
"intermediate": 0.2353873997926712,
"beginner": 0.6283036470413208,
"expert": 0.1363089382648468
}
|
32,681
|
Procedure 1 Whole Image Correlation Analysis
1: functionCORRELATION(testimage,angrange,brange,sigma)
2: imgsize = size(testimage);
3:
4: if length(imgsize)>2 then
5: testimage = rgb2gray(testimage);
6: end if
7:
8: xsize = imgsize(2);
9: ysize = imgsize(1);
10: subimage = single(testimage);
11:
12: medianint = median(testimage(testimage>0));
13: angles = angrange(1):angrange(2):angrange(3);
14: trans = brange(1):brange(2):brange(3);
15: corrmap = zeros(length(angles), length(trans));
16:
17: for thetaind = 1:length(angles) do
18: for 19:
20:
21:
for bind = 1:length(trans) do
theta = angles(thetaind);
b = trans(bind);
refline = REFERENCE_Line_Gen(xsize,ysize,theta,b,sigma); temp = refline .∗subimage;
temp2 = sum(temp(:));
temp3 = temp2/medianint; corrmap(thetaind, bind) = temp3;
22: 23: 24: 25:
26: end for
27: end for
28:
29: return corrmap 30:
31: endfunction
◃ Test if the image is a RGB image
32
Procedure 2 Reference Line Generation
1: functionREFERENCE_LINE_GEN(xsize,ysize,θ,b,σ)
2: [Xmesh, Ymesh] = meshgrid(1:xsize, 1:ysize) ◃ Create empty template image
3: Xmesh = Xmesh - single(xsize) / 2 ◃ Single means value to single precision
4: Ymesh = Ymesh - single(ysize) / 2
5:
6: angle=(θ*pi)/180
7: dist = single(b - (Xmesh*sin(angle)) - (Ymesh*cos(angle)))
8: distance = single (((dist).2) / (sigma2))
9: result = exp(-distance)
10:
11: return result
12: endfunction
Procedure 3 Peak Extraction Algorithm
1: functionMAX_INTENSITY_FINDING(correlation_map,dist_input)
2: if (nargin == 2) then
3: distance_threshold = dist_input;
4: else
5: distance_threshold = 10;
6: end if
7: size_corr = size(correlation_map);
8: label_map = zeros(size_corr);
9: [xgrid,ygrid] = meshgrid(1:size_corr(2), 1:size_corr(1));
10:
11: for indx = 1:size_corr(2) do
◃ default value
12: for 13:
14:
15:
indy = 1:size_corr(1) do
dist = sqrt((xgrid-indx)2 + (ygrid-indy)2);
pixuseful = dist < distance_threshold;
if (correlation_map(indy,indx) >= max(correlation_map(pixuseful))) then
◃ Filter out false peaks
label_map(indy,indx) = 1;
16: 17:
18: end for
19: end for
20:
21: label_map(correlation_map == 0) = 0;
22: endfunction
end if
33
Procedure 4 Peak Extraction Algorithm
1: functionSUB_WINDOW_ANALYSIS(correlation_map,dist_input)
2: imgsize = size(testimage);
3: sgimgsize = single(imgsize);
4: sgsubimgsz = single(subimgsz);
5: sgtestimage = single(testimage);
6: sigma = single(sigma);
7:
8: if (length(imgsize)>2) then
9: testimage = rgb2gray(testimage);
10: end if
11:
12: if (rem(imgsize(1),subimgsz(1)) || rem(imgsize(1),subimgsz(1))) then
13: display(’the subimage size does not match the whole image size’);
14: return
15: end if
16:
17: angles = angrange(1):angrange(2):angrange(3);
18: trans = brange(1):brange(2):brange(3);
19: corr = zeros(length(angles), length(trans),imgsize(1) / subimgsz(1), ...
20: imgsize(2) / subimgsz(2));
21:
22: xsize = sgimgsize(2);
23: ysize = sgimgsize(1);
24: [Xmesh, Ymesh] = meshgrid(0:(xsize-1), 0:(ysize-1));
25: Xmesh = mod(Xmesh,subimgsz(2));
26: Ymesh = mod(Ymesh,subimgsz(1));
27:
28: Xmesh = Xmesh - sgsubimgsz(2)/2;
29: Ymesh = Ymesh - sgsubimgsz(1)/2;
30: for thetaind = 1:length(angles) do
31: for 32:
33:
34:
bind = 1:length(trans) do
theta = angles(thetaind);
b = single(trans(bind));
angle = single((theta* pi) / 180);
dist = b - (Xmesh*sin(angle)) - (Ymesh*cos(angle)); distpw = (dist2 )/ (sigma2 );
refline = exp(-distpw);
temp = refline*sgtestimage;
temp2 = reshape(temp,[subimgsz(1),imgsize(1)/subimgsz(1),... subimgsz(2),imgsize(2)/subimgsz(2)]);
temp3 = sum(temp2,1);
temp4 = squeeze(sum(temp3,3));
corr(thetaind, bind, :, :) = temp4;
35: 36: 37: 38: 39: 40: 41: 42: 43:
44: end for
45: end for
46: corrsz = size(corr);
47: spcorr = reshape(permute(corr,[1,3,2,4]),corrsz(1)*corrsz(3),corrsz(2)*corrsz(4));
48: colsubimgs = reshape(sgtestimage,...
49: [subimgsz(1),imgsize(1)/subimgsz(1), subimgsz(2),imgsize(2)/subimgsz(2)]);
50: endfunction
Переведи это на ЯП python, объсни, что делает каждая строчка, из библиотек можно использовать только numpy
|
1238ecd03e80553a25bc268765015866
|
{
"intermediate": 0.3588102161884308,
"beginner": 0.3514486849308014,
"expert": 0.2897410988807678
}
|
32,682
|
import numpy as np
def correlation(image, angrange, brange, sigma):
xsize, ysize = image.shape
subimage = image.astype(np.float32)
medianint = np.median(image[image > 0])
angles = np.arange(angrange[0], angrange[2], angrange[1])
trans = np.arange(brange[0], brange[2], brange[1])
corrmap = np.zeros((len(angles), len(trans)))
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = trans[bind]
refline = reference_line_gen(xsize, ysize, theta, b, sigma)
temp = refline * subimage
temp2 = np.sum(temp)
temp3 = temp2 / medianint
corrmap[thetaind, bind] = temp3
return corrmap
def reference_line_gen(xsize, ysize, theta, b, sigma):
Xmesh, Ymesh = np.meshgrid(np.arange(1, xsize+1), np.arange(1, ysize+1))
Xmesh = Xmesh - xsize / 2
Ymesh = Ymesh - ysize / 2
angle = np.deg2rad(theta)
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distance = dist ** 2 / (sigma ** 2)
result = np.exp(-distance)
return result
# Procedure 3: Peak Extraction Algorithm
def max_intensity_finding(correlation_map, dist_input=None):
if dist_input is not None:
distance_threshold = dist_input
else:
distance_threshold = 10
size_corr = np.array(correlation_map.shape)
label_map = np.zeros(size_corr)
xgrid, ygrid = np.meshgrid(np.arange(1, size_corr[1]+1), np.arange(1, size_corr[0]+1))
for indx in range(size_corr[1]):
for indy in range(size_corr[0]):
dist = np.sqrt((xgrid - indx) ** 2 + (ygrid - indy) ** 2)
pixuseful = dist < distance_threshold
if correlation_map[indy, indx] >= np.max(correlation_map[pixuseful]):
label_map[indy, indx] = 1
label_map[correlation_map == 0] = 0
return label_map
def sub_window_analysis(correlation_map, dist_input, image, subimgsz, sigma):
imgsize = np.array(image.shape)
sgimgsize = imgsize.astype(np.float32)
sgsubimgsz = np.array(subimgsz).astype(np.float32)
sgtestimage = image.astype(np.float32)
if imgsize[0] % subimgsz[0] != 0 or imgsize[1] % subimgsz[1] != 0:
print("The subimage size does not match the whole image size")
return
angles = np.arange(angrange[0], angrange[2], angrange[1])
trans = np.arange(brange[0], brange[2], brange[1])
corr = np.zeros((len(angles), len(trans), imgsize[0] // subimgsz[0], imgsize[1] // subimgsz[1]))
xsize = sgimgsize[1]
ysize = sgimgsize[0]
Xmesh, Ymesh = np.meshgrid(np.arange(xsize), np.arange(ysize))
Xmesh = np.mod(Xmesh, subimgsz[1])
Ymesh = np.mod(Ymesh, subimgsz[0])
Xmesh = Xmesh - sgsubimgsz[1] / 2
Ymesh = Ymesh - sgsubimgsz[0] / 2
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = trans[bind]
angle = np.deg2rad(theta)
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distpw = (dist ** 2) / (sigma ** 2)
refline = np.exp(-distpw)
temp = refline * sgtestimage
temp2 = np.sum(temp, axis=1)
temp3 = np.squeeze(np.sum(temp2, axis=2))
corr[thetaind, bind, :, :] = temp3
corrsz = np.array(corr.shape)
spcorr = np.reshape(np.transpose(corr, (0, 2, 1, 3)), (corrsz[0] * corrsz[2], corrsz[1] * corrsz[3]))
colsubimgs = np.reshape(sgtestimage, (subimgsz[0], imgsize[0] // subimgsz[0], subimgsz[1], imgsize[1] // subimgsz[1]))
return spcorr, colsubimgs
# Example Usage
image = cv2.imread("0.0/01.pgm", cv2.COLOR_BGR2GRAY)
angrange = (0, 10, 180) # Range of angles for correlation analysis
brange = (0, 1, 10) # Range of translation values for correlation analysis
sigma = 1.0 # Sigma value for reference line generation
# Perform whole image correlation analysis
corr_map = correlation(image, angrange, brange, sigma)
print("Correlation map shape:", corr_map.shape)
# Extract maximum intensity peaks from the correlation map
label_map = max_intensity_finding(corr_map)
print("Label map shape:", label_map.shape)
# Plot the correlation map and label map
plt.figure(figsize=(10, 4))
plt.subplot(1, 2, 1)
plt.imshow(corr_map, cmap="gray")
plt.title("Correlation Map")
plt.colorbar()
plt.subplot(1, 2, 2)
plt.imshow(label_map, cmap="gray")
plt.title("Label Map")
plt.colorbar()
plt.show()
# Perform sub-window analysis
subimgsz = (10, 10) # Sub-window size for analysis
spcorr, colsubimgs = sub_window_analysis(corr_map, brange, image, subimgsz, sigma)
print("Spaced correlation shape:", spcorr.shape)
print("Column sub-images shape:", colsubimgs.shape)
Вот мой код, получаю ошибку:
---------------------------------------------------------------------------
AxisError Traceback (most recent call last)
<ipython-input-11-5beb91802097> in <cell line: 132>()
130 # Perform sub-window analysis
131 subimgsz = (10, 10) # Sub-window size for analysis
--> 132 spcorr, colsubimgs = sub_window_analysis(corr_map, brange, image, subimgsz, sigma)
133 print("Spaced correlation shape:", spcorr.shape)
134 print("Column sub-images shape:", colsubimgs.shape)
3 frames
/usr/local/lib/python3.10/dist-packages/numpy/core/fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs)
84 return reduction(axis=axis, out=out, **passkwargs)
85
---> 86 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
87
88
AxisError: axis 2 is out of bounds for array of dimension 1
|
1613299fa9b43369dbcf4d366f9abf44
|
{
"intermediate": 0.316353976726532,
"beginner": 0.41940250992774963,
"expert": 0.2642434537410736
}
|
32,683
|
import numpy as np
def correlation(image, angrange, brange, sigma):
xsize, ysize = image.shape
subimage = image.astype(np.float32)
medianint = np.median(image[image > 0])
angles = np.arange(angrange[0], angrange[2], angrange[1])
trans = np.arange(brange[0], brange[2], brange[1])
corrmap = np.zeros((len(angles), len(trans)))
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = trans[bind]
refline = reference_line_gen(xsize, ysize, theta, b, sigma)
temp = refline * subimage
temp2 = np.sum(temp)
temp3 = temp2 / medianint
corrmap[thetaind, bind] = temp3
return corrmap
def reference_line_gen(xsize, ysize, theta, b, sigma):
Xmesh, Ymesh = np.meshgrid(np.arange(1, xsize+1), np.arange(1, ysize+1))
Xmesh = Xmesh - xsize / 2
Ymesh = Ymesh - ysize / 2
angle = np.deg2rad(theta)
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distance = dist ** 2 / (sigma ** 2)
result = np.exp(-distance)
return result
def max_intensity_finding(correlation_map, dist_input=None):
if dist_input is not None:
distance_threshold = dist_input
else:
distance_threshold = 10
size_corr = np.array(correlation_map.shape)
label_map = np.zeros(size_corr)
xgrid, ygrid = np.meshgrid(np.arange(1, size_corr[1]+1), np.arange(1, size_corr[0]+1))
for indx in range(size_corr[1]):
for indy in range(size_corr[0]):
dist = np.sqrt((xgrid - indx) ** 2 + (ygrid - indy) ** 2)
pixuseful = dist < distance_threshold
if correlation_map[indy, indx] >= np.max(correlation_map[pixuseful]):
label_map[indy, indx] = 1
label_map[correlation_map == 0] = 0
return label_map
def sub_window_analysis(correlation_map, brange, image, subimgsz, sigma):
imgsize = np.array(image.shape)
sgimgsize = imgsize.astype(np.float32)
sgsubimgsz = np.array(subimgsz).astype(np.float32)
sgtestimage = image.astype(np.float32)
if imgsize[0] % subimgsz[0] != 0 or imgsize[1] % subimgsz[1] != 0:
print("The subimage size does not match the whole image size")
return
angrange = (0, 10, 180) # Range of angles for correlation analysis
angles = np.arange(angrange[0], angrange[2], angrange[1])
trans = np.arange(brange[0], brange[2], brange[1])
corr = np.zeros((len(angles), len(trans), imgsize[0] // subimgsz[0], imgsize[1] // subimgsz[1]))
xsize = sgimgsize[1]
ysize = sgimgsize[0]
Xmesh, Ymesh = np.meshgrid(np.arange(xsize), np.arange(ysize))
Xmesh = np.mod(Xmesh, subimgsz[1])
Ymesh = np.mod(Ymesh, subimgsz[0])
Xmesh = Xmesh - sgsubimgsz[1] / 2
Ymesh = Ymesh - sgsubimgsz[0] / 2
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = trans[bind]
angle = np.deg2rad(theta)
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distpw = (dist ** 2) / (sigma ** 2)
refline = np.exp(-distpw)
temp = refline * sgtestimage
temp2 = np.sum(temp, axis=1)
temp3 = np.squeeze(np.sum(temp2, axis=2))
corr[thetaind, bind, :, :] = temp3
corrsz = np.array(corr.shape)
spcorr = np.reshape(np.transpose(corr, (0, 2, 1, 3)), (corrsz[0] * corrsz[2], corrsz[1] * corrsz[3]))
colsubimgs = np.reshape(sgtestimage, (subimgsz[0], imgsize[0] // subimgsz[0], subimgsz[1], imgsize[1] // subimgsz[1]))
return spcorr, colsubimgs
# Example Usage
image = cv2.imread("0.0/01.pgm", cv2.COLOR_BGR2GRAY)
angrange = (0, 10, 180) # Range of angles for correlation analysis
brange = (0, 1, 10) # Range of translation values for correlation analysis
sigma = 1.0 # Sigma value for reference line generation
# Perform whole image correlation analysis
corr_map = correlation(image, angrange, brange, sigma)
print("Correlation map shape:", corr_map.shape)
# Extract maximum intensity peaks from the correlation map
label_map = max_intensity_finding(corr_map)
print("Label map shape:", label_map.shape)
# Plot the correlation map and label map
plt.figure(figsize=(10, 4))
plt.subplot(1, 2, 1)
plt.imshow(corr_map, cmap="gray")
plt.title("Correlation Map")
plt.colorbar()
plt.subplot(1, 2, 2)
plt.imshow(label_map, cmap="gray")
plt.title("Label Map")
plt.colorbar()
plt.show()
# Perform sub-window analysis
subimgsz = (10, 10) # Sub-window size for analysis
spcorr, colsubimgs = sub_window_analysis(corr_map, brange, image, subimgsz, sigma)
print("Spaced correlation shape:", spcorr.shape)
print("Column sub-images shape:", colsubimgs.shape)
ВОТ МОЙ КОД, А ПОЛУЧАЮ Я ОШИБКУ:
---------------------------------------------------------------------------
AxisError Traceback (most recent call last)
<ipython-input-12-16cf9b42d21b> in <cell line: 133>()
131 # Perform sub-window analysis
132 subimgsz = (10, 10) # Sub-window size for analysis
--> 133 spcorr, colsubimgs = sub_window_analysis(corr_map, brange, image, subimgsz, sigma)
134 print("Spaced correlation shape:", spcorr.shape)
135 print("Column sub-images shape:", colsubimgs.shape)
3 frames
/usr/local/lib/python3.10/dist-packages/numpy/core/fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs)
84 return reduction(axis=axis, out=out, **passkwargs)
85
---> 86 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
87
88
AxisError: axis 2 is out of bounds for array of dimension 1
ИСПРАВЬ КОД!
|
ce76f694962542e0933fe5f7b2c6d244
|
{
"intermediate": 0.3354686498641968,
"beginner": 0.4284467101097107,
"expert": 0.23608459532260895
}
|
32,684
|
nctionSUB_WINDOW_ANALYSIS(correlation_map,dist_input)
2: imgsize = size(testimage);
3: sgimgsize = single(imgsize);
4: sgsubimgsz = single(subimgsz);
5: sgtestimage = single(testimage);
6: sigma = single(sigma);
7:
8: if (length(imgsize)>2) then
9: testimage = rgb2gray(testimage);
10: end if
11:
12: if (rem(imgsize(1),subimgsz(1)) || rem(imgsize(1),subimgsz(1))) then
13: display(’the subimage size does not match the whole image size’);
14: return
15: end if
16:
angles = angrange(1):angrange(2):angrange(3);
trans = brange(1):brange(2):brange(3);
corr = zeros(length(angles), length(trans),imgsize(1) / subimgsz(1), ...
imgsize(2) / subimgsz(2));
xsize = sgimgsize(2);
ysize = sgimgsize(1);
[Xmesh, Ymesh] = meshgrid(0:(xsize-1), 0:(ysize-1));
Xmesh = mod(Xmesh,subimgsz(2));
Ymesh = mod(Ymesh,subimgsz(1));
Xmesh = Xmesh - sgsubimgsz(2)/2;
Ymesh = Ymesh - sgsubimgsz(1)/2;
for thetaind = 1:length(angles) do
for bind = 1:length(trans) do
theta = angles(thetaind);
b = single(trans(bind));
angle = single((theta* pi) / 180);
dist = b - (Xmesh*sin(angle)) - (Ymesh*cos(angle)); distpw = (dist2 )/ (sigma2 );
refline = exp(-distpw);
temp = refline*sgtestimage;
temp2 = reshape(temp,[subimgsz(1),imgsize(1)/subimgsz(1),... subimgsz(2),imgsize(2)/subimgsz(2)]);
temp3 = sum(temp2,1);
temp4 = squeeze(sum(temp3,3));
corr(thetaind, bind, :, :) = temp4;
end for
end for
corrsz = size(corr);
spcorr = reshape(permute(corr,[1,3,2,4]),corrsz(1)*corrsz(3),corrsz(2)*corrsz(4));
colsubimgs = reshape(sgtestimage,...
[subimgsz(1),imgsize(1)/subimgsz(1), subimgsz(2),imgsize(2)/subimgsz(2)]);
endfunction
Перепиши на python, можно использовать только numpy
|
c4fe8c66e95c7b614aff70dba25ec52a
|
{
"intermediate": 0.1810292750597,
"beginner": 0.30666232109069824,
"expert": 0.5123083591461182
}
|
32,685
|
Can you train a resnet50 model with tensorflow?
|
1bca0f11f252a11d0b21c5f84ffe35e6
|
{
"intermediate": 0.17657075822353363,
"beginner": 0.055538907647132874,
"expert": 0.7678902745246887
}
|
32,686
|
import numpy as np
def correlation(image, angrange, brange, sigma):
xsize, ysize = image.shape
subimage = image.astype(np.float32)
medianint = np.median(image[image > 0])
angles = np.arange(angrange[0], angrange[2], angrange[1])
trans = np.arange(brange[0], brange[2], brange[1])
corrmap = np.zeros((len(angles), len(trans)))
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = trans[bind]
refline = reference_line_gen(xsize, ysize, theta, b, sigma)
temp = refline * subimage
temp2 = np.sum(temp)
temp3 = temp2 / medianint
corrmap[thetaind, bind] = temp3
return corrmap
def reference_line_gen(xsize, ysize, theta, b, sigma):
Xmesh, Ymesh = np.meshgrid(np.arange(1, xsize+1), np.arange(1, ysize+1))
Xmesh = Xmesh - xsize / 2
Ymesh = Ymesh - ysize / 2
angle = np.deg2rad(theta)
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distance = dist ** 2 / (sigma ** 2)
result = np.exp(-distance)
return result
def sub_window_analysis():
imgsize = np.shape(image)
sgimgsize = np.array(imgsize, dtype=np.float32)
sgsubimgsz = np.array(image, dtype=np.float32)
sgtestimage = np.array(image, dtype=np.float32)
sigma = np.float32(sigma)
if imgsize[0] % subimgsz[0] != 0 or imgsize[1] % subimgsz[1] != 0:
print("The subimage size does not match the whole image size")
return
angles = np.arange(angrange[0], angrange[1], angrange[2])
trans = np.arange(brange[0], brange[1], brange[2])
corr = np.zeros((len(angles), len(trans), imgsize[0]//subimgsz[0], imgsize[1]//subimgsz[1]))
xsize = sgimgsize[1]
ysize = sgimgsize[0]
Xmesh, Ymesh = np.meshgrid(np.arange(0,xsize), np.arange(0,ysize))
Xmesh = np.mod(Xmesh, subimgsz[1])
Ymesh = np.mod(Ymesh, subimgsz[0])
Xmesh = Xmesh - sgsubimgsz[1]/2
Ymesh = Ymesh - sgsubimgsz[0]/2
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = np.float32(trans[bind])
angle = (theta * np.pi) / 180
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distpw = dist2 / (sigma2)
refline = np.exp(-distpw)
temp = refline * sgtestimage
temp2 = np.reshape(temp, (subimgsz[0], imgsize[0]//subimgsz[0], subimgsz[1], imgsize[1]//subimgsz[1]))
temp3 = np.sum(temp2, axis=1)
temp4 = np.squeeze(np.sum(temp3, axis=2))
corr[thetaind, bind, :, :] = temp4
corrsz = np.shape(corr)
spcorr = np.reshape(np.transpose(corr, (0,2,1,3)), (corrsz[0]*corrsz[2], corrsz[1]*corrsz[3]))
colsubimgs = np.reshape(sgtestimage, (subimgsz[0], imgsize[0]//subimgsz[0], subimgsz[1], imgsize[1]//subimgsz[1]))
return corrsz, spcorr, colsubimgs
# Example Usage
image = cv2.imread("0.0/01.pgm", cv2.COLOR_BGR2GRAY)
angrange = (0, 10, 180) # Range of angles for correlation analysis
brange = (0, 1, 10) # Range of translation values for correlation analysis
sigma = 1.0 # Sigma value for reference line generation
# Perform whole image correlation analysis
corr_map = correlation(image, angrange, brange, sigma)
print("Correlation map shape:", corr_map.shape)
# Extract maximum intensity peaks from the correlation map
label_map = max_intensity_finding(corr_map)
print("Label map shape:", label_map.shape)
# Plot the correlation map and label map
plt.figure(figsize=(10, 4))
plt.subplot(1, 2, 1)
plt.imshow(corr_map, cmap="gray")
plt.title("Correlation Map")
plt.colorbar()
plt.subplot(1, 2, 2)
plt.imshow(label_map, cmap="gray")
plt.title("Label Map")
plt.colorbar()
plt.show()
# Perform sub-window analysis
subimgsz = (10, 10) # Sub-window size for analysis
spcorr, colsubimgs = sub_window_analysis()
print("Spaced correlation shape:", spcorr.shape)
print("Column sub-images shape:", colsubimgs.shape)
ДОПОЛНИ КОД, ЧТО НУЖНО ПЕРЕДАТЬ В sub_window_analysys?
|
e33f1aed74f5b1b3433a32e143d74f34
|
{
"intermediate": 0.2740033268928528,
"beginner": 0.5693109035491943,
"expert": 0.1566857248544693
}
|
32,687
|
C# How to search process memory for string value
|
ac3ee23a99998c37e6ddbf4cbea155ef
|
{
"intermediate": 0.6685689091682434,
"beginner": 0.13064897060394287,
"expert": 0.20078213512897491
}
|
32,688
|
special key Key.media_play_pause pressed
Recording stopped by user.
Done recording
2023-11-28 05:32:21,577 - INFO - HTTP Request: POST https://api.naga.ac/v1/audio/transcriptions "HTTP/1.1 200 OK"
Jag har lagt in 1,03 kilo.
2023-11-28 05:32:21,578 - ERROR - Task exception was never retrieved
future: <Task finished name='Task-6' coro=<start_recording() done, defined at /home/rickard/Documents/rs232/new copy.py:260> exception=TypeError('expected string or bytes-like object')>
Traceback (most recent call last):
File "/home/rickard/Documents/rs232/new copy.py", line 262, in start_recording
await asyncio.gather(
File "/home/rickard/Documents/rs232/new copy.py", line 253, in record_audio
extracted_weight = extract_weight(audio_text)
File "/home/rickard/Documents/rs232/new copy.py", line 223, in extract_weight
matches = re.findall(pattern, text, re.IGNORECASE)
File "/usr/lib/python3.10/re.py", line 240, in findall
return _compile(pattern, flags).findall(string)
TypeError: expected string or bytes-like object
hey
# FastAPI endpoint to trigger async start_recording
@app.post("/start_recording")
async def api_start_recording():
asyncio.create_task(start_recording())
return {"message": "Started recording asynchronously"}
async def record_audio():
global adress, stop_recording, transcriber, check_weight
print("Starting recording…")
url = f"{adress}/audio.wav"
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
async with aioopen("audio.wav", "wb") as fd:
async for chunk in response.content.iter_chunked(1024):
await fd.write(chunk)
# Check if the stop condition is set
if stop_recording.is_set():
print("Recording stopped by user.")
break
print("Done recording")
audio_text = transcriber.transcribe_audio("audio.wav")
await audio_text
if "lägg in" or "lägga in" or "lagt in" in audio_text:
check_weight = "In"
extracted_weight = extract_weight(audio_text)
await generate_audio(extract_weight, False)
await update_csv(extracted_weight, check_weight)
print(audio_text)
async def start_recording():
stop_recording.clear()
await asyncio.gather(
record_audio(),
schedule_stop()
)
async def schedule_stop():
await asyncio.sleep(7)
if not stop_recording.is_set():
print("7 seconds passed. Stopping recording.")
stop_recording.set()
def on_press(key):
global check_weight, first_boot
try:
# pynput.keyboard.KeyCode
print("hey")
print(key)
if key == keyboard.Key.media_next:
print("heys")
check_weight = "In"
asyncio.run(process_images())
print("Media play/pause key pressed")
if key == keyboard.Key.media_previous:
print("heys")
check_weight = "Out"
asyncio.run(process_images())
print("Media play/pause key pressed")
if key == keyboard.Key.media_play_pause:
if not stop_recording.is_set() or first_boot: # If recording has not been stopped yet
print("Stopping recording early…")
stop_recording.set()
first_boot = False
else:
print("Starting new recording…")
# Make an HTTP POST request to FastAPI endpoint to start recording
requests.post("http://localhost:3333/start_recording")
print("Alphanumeric key {0} pressed".format(key.char))
# pynput.keyboard.Key (you can find volume keys here)
print("Special Key {0} pressed".format(key))
# set sound up only after 1 key press...
except AttributeError:
print("special key {0} pressed".format(key))
from openai import AsyncOpenAI
class Transcriber:
def __init__(self, api_key, base_url):
self.client = AsyncOpenAI(
api_key= api_key,
base_url=base_url
)
async def transcribe_audio(self, audio_file_path):
audio_file = open("audio.mp3", "rb")
transcript = await self.client.audio.transcriptions.create(
model="whisper-1",
file=audio_file,
language="sv",
prompt="Vi pratar om att lägga in vikter mellan 30-200 kilo"
)
print(transcript.text)
return transcript.text
|
35f4bc6d81b143c28201bf734a83a20a
|
{
"intermediate": 0.29855164885520935,
"beginner": 0.5870356559753418,
"expert": 0.11441273242235184
}
|
32,689
|
help me rewrite this app into a phone app, needs to be using python for the phone app:
from fastapi import FastAPI, Request, BackgroundTasks
import uvicorn
from fastapi.templating import Jinja2Templates
import numpy as np
import cv2
import random
import pygame
from pydub import AudioSegment
import logging
import os
import requests
import aiohttp
from datetime import datetime, timedelta
import csv
from pynput import keyboard
import concurrent.futures
import asyncio
import threading
from roboflow import Roboflow
from transribe import Transcriber
import re
from aiofiles import open as aioopen
api_key = "IhgRWRgaHqkb_dz2UrK_NyTN1IQLwXHMQtfMBZZPzwA"
base_url = "https://api.naga.ac/v1"
language = "en"
first_boot = True
transcriber = Transcriber(api_key, base_url)
#adress = "http://10.30.227.93:8088"
adress = "http://192.168.249.19:8080"
rf = Roboflow(api_key="xq0chu47g4AXAFzn4VDl")
project = rf.workspace().project("digital-number-ocr")
model = project.version(1).model
stop_recording = threading.Event()
weekdays_name = ["Måndag", "Tisdag", "Onsdag", "Torsdag", "Fredag", "Lördag", "Söndag"]
templates = Jinja2Templates(directory="templates")
logging.basicConfig(
filename="app.log",
level=logging.INFO,
format="%(asctime)s - %(levelname)s - %(message)s",
)
check_weight = "None"
TASK_STATUS = "Not started"
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)
formatter = logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")
console_handler.setFormatter(formatter)
logging.getLogger().addHandler(console_handler)
app = FastAPI()
# Paddleocr supports Chinese, English, French, German, Korean and Japanese.
# You can set the parameter `lang` as `ch`, `en`, `fr`, `german`, `korean`, `japan`
# to switch the language model in order.
# ocr = PaddleOCR(
# use_angle_cls=False,
# lang="en",
# ) # need to run only once to download and load model into memory
x, y, w, h = 100, 100, 200, 200
threshold = 400
SERVER_RESPONSE = None
long_time_no_seen = False
# async def capture_frame_async(cap):
# loop = asyncio.get_running_loop()
# # Run in a separate thread because VideoCapture.read() is a blocking operation
# with concurrent.futures.ThreadPoolExecutor() as pool:
# ret, frame = await loop.run_in_executor(pool, cap.read)
# return ret, frame
class AudioManager:
def __init__(self):
self._initialized = False
def _initialize(self):
if not self._initialized:
pygame.mixer.pre_init(44100, -16, 2, 2048)
pygame.mixer.init()
self._initialized = True
def play_audio(self, audio_path):
pygame.mixer.music.load(audio_path)
pygame.mixer.music.play()
while pygame.mixer.music.get_busy():
pygame.time.Clock().tick(10)
pygame.mixer.music.unload()
async def play_audio_async(self, audio_path):
loop = asyncio.get_running_loop()
with concurrent.futures.ThreadPoolExecutor() as pool:
# Correctly pass the function reference and the argument separately
await loop.run_in_executor(pool, self.play_audio, audio_path)
audio_manager = AudioManager()
audio_manager._initialize()
async def conditional_sleep(target_interval, last_frame_change_time):
elapsed = (datetime.now() - last_frame_change_time).total_seconds()
sleep_time = target_interval - elapsed
if sleep_time > 0:
await asyncio.sleep(sleep_time)
# Image processing function
async def process_images():
global SERVER_RESPONSE, TASK_STATUS, check_weight, long_time_no_seen, adress
last_frame_change_time = datetime.now()
last_active = datetime.now()
combined_result = []
failed_frames = 0
support = 0
try:
TASK_STATUS = "In progress"
logging.info("The process started")
print("started")
url = f"{adress}/shot.jpg"
# frame = cv2.imread("shot(3).jpg")
# url = "http://192.168.127.124:8080/video"
cap = cv2.VideoCapture(url)
# url = "http://10.30.225.127:8080/shot.jpg"
while check_weight != "None":
# ret, frame = await capture_frame_async(cap)
img_resp = requests.get(url)
img_arr = np.frombuffer(img_resp.content, np.uint8)
frame = cv2.imdecode(img_arr, -1)
current_pic = frame
combined_result = []
# cv2.imshow("Video Feed", frame)
# Apply background subtraction
# cropped_img = current_pic[580 : 580 + 75, 960 : 960 + 180]
cropped_img = current_pic[555 : 555 + 75, 995 : 995 + 180]
if datetime.now() - last_active >= timedelta(minutes=30):
long_time_no_seen = False
last_active = datetime.now()
if not long_time_no_seen:
await audio_manager.play_audio_async("Audio/redo.mp3")
long_time_no_seen = True
last_frame_change_time = datetime.now()
cropped_img_gray = cv2.cvtColor(cropped_img, cv2.COLOR_BGR2GRAY)
image_center = tuple(np.array(cropped_img_gray.shape[1::-1]) / 2)
## Get the rotation matrix using the center and the angle
rot_mat = cv2.getRotationMatrix2D(image_center, -3.5, 1.0)
# Rotate the cropped_img_gray using the rotation matrix
rotated_image = cv2.warpAffine(
cropped_img_gray,
rot_mat,
cropped_img_gray.shape[1::-1],
flags=cv2.INTER_LINEAR,
)
cv2.imwrite("combined_area.png", cropped_img)
# kg_result = await check_picture(kg_area)
# hg_result = await check_picture(hg_area)
await audio_manager.play_audio_async("Audio/reading.mp3")
combined_result = await check_picture()
if combined_result == [] or combined_result.strip() == "":
print(combined_result)
if support > 2:
await audio_manager.play_audio_async("Audio/support.mp3")
support = 0
elif failed_frames > 5:
random_number = random.randint(1, 2)
await audio_manager.play_audio_async(
f"Audio/waiting{random_number}.mp3"
)
failed_frames = 0
support += 1
last_frame_change_time = datetime.now()
print("Frame has changed significantly. Updating stable frame.")
failed_frames += 1
continue
if combined_result != []:
if "-" in combined_result:
combined_result = combined_result.replace("-", ".")
hey_there = await generate_audio(combined_result, True)
print(f"{hey_there}")
await audio_manager.play_audio_async("audio.mp3")
print(f"combined: {combined_result}")
await update_csv(combined_result, check_weight, True)
#
# # Reset stable frame and timestamp after running OCR
failed_frames = 0
support = 0
check_weight = "None"
await conditional_sleep(0.1, last_frame_change_time)
except Exception as e:
TASK_STATUS = "Failed"
SERVER_RESPONSE = str(e)
logging.error(
"An error occurred during image processing: {0}".format(e), exc_info=True
)
async def extract_weight(text):
# Define the regex pattern to match numbers followed by the specified units
pattern = r"(\d+)\s*(kg|kilo|hg|hekto|gram|g)\b"
# Find all matches in the text
matches = re.findall(pattern, text, re.IGNORECASE)
# Extract the first match if found
for match in matches:
number, unit = match
# Check if the unit is one of the specified units
if unit.lower() in ["kg", "kilo", "hg", "hekto", "gram", "g"]:
return f"{number}"
return None # No match with the specified units found
async def record_audio():
global adress, stop_recording, transcriber, check_weight
print("Starting recording…")
voice = None
url = f"{adress}/audio.wav"
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
async with aioopen("voice.mp3", "wb") as fd:
async for chunk in response.content.iter_chunked(1024):
await fd.write(chunk)
# Check if the stop condition is set
if stop_recording.is_set():
print("Recording stopped by user.")
break
print("Done recording")
audio_text = await transcriber.transcribe_audio("voice.mp3")
in_keywords = ["lägg in", "lägga in", "lagt in", "fått in", "kommit in"]
if any(keyword in audio_text.lower() for keyword in in_keywords):
check_weight = "In"
voice = "In"
out_keywords = ["ta bort", "ta ur", "kasta", "slänga", "släng", "åka ut", "ta ut"]
if any(keyword in audio_text.lower() for keyword in out_keywords):
check_weight = "Out"
voice = "Out"
print(audio_text)
if not voice:
await audio_manager.play_audio_async("Audio/vadvilldu.mp3")
return
extracted_weight = await extract_weight(audio_text)
print(extracted_weight)
await generate_audio(extracted_weight, False)
await audio_manager.play_audio_async("audio.mp3")
await update_csv(extracted_weight, check_weight, False)
print(audio_text)
async def start_recording():
stop_recording.clear()
await asyncio.gather(
record_audio(),
schedule_stop()
)
async def schedule_stop():
await asyncio.sleep(7)
if not stop_recording.is_set():
print("7 seconds passed. Stopping recording.")
stop_recording.set()
def on_press(key):
global check_weight, first_boot
try:
# pynput.keyboard.KeyCode
print("hey")
print(key)
if key == keyboard.Key.media_next:
print("heys")
check_weight = "In"
asyncio.run(process_images())
print("Media play/pause key pressed")
if key == keyboard.Key.media_previous:
print("heys")
check_weight = "Out"
asyncio.run(process_images())
print("Media play/pause key pressed")
if key == keyboard.Key.media_play_pause:
if not stop_recording.is_set() or first_boot: # If recording has not been stopped yet
print("Stopping recording early…")
stop_recording.set()
first_boot = False
else:
print("Starting new recording…")
# Make an HTTP POST request to FastAPI endpoint to start recording
requests.post("http://localhost:3333/start_recording")
print("Alphanumeric key {0} pressed".format(key.char))
# pynput.keyboard.Key (you can find volume keys here)
print("Special Key {0} pressed".format(key))
# set sound up only after 1 key press...
except AttributeError:
print("special key {0} pressed".format(key))
@app.post("/start_processing")
async def start_processing(background_tasks: BackgroundTasks):
logging.info("Received start_processing request")
# Run process_images as a background task inside an event loop
background_tasks.add_task(process_images)
return {"message": "Image processing started"}
async def generate_audio(clenedUpResponse, scale):
global TASK_STATUS
print(clenedUpResponse)
if clenedUpResponse.startswith("00"):
clenedUpResponse = clenedUpResponse.replace("00", "0.0")
if scale:
while float(clenedUpResponse) > 30.0:
clenedUpResponse = float(clenedUpResponse) / 10
clenedUpResponse = round(float(clenedUpResponse), 2)
else:
while float(clenedUpResponse) > 999.99:
clenedUpResponse = float(clenedUpResponse) / 10
clenedUpResponse = round(float(clenedUpResponse), 2)
print(clenedUpResponse)
if float(clenedUpResponse) >= 100:
#I want to add " hundra " after the first number in cleanedUpResponse
clenedUpResponse = str(clenedUpResponse)
clenedUpResponse = clenedUpResponse.replace(clenedUpResponse[0], f"{clenedUpResponse[0]} hundra ")
print(clenedUpResponse)
if "." in str(clenedUpResponse):
clenedUpResponse = clenedUpResponse.replace(".", " komma ")
combined_audio_seg = AudioSegment.empty()
# Generate and concatenate audio for each word
audio_seg = AudioSegment.from_mp3(f"Audio/{check_weight}.mp3")
combined_audio_seg += audio_seg
for text in clenedUpResponse.split():
if text != "komma" and len(text) > 2 and text != "hundra":
# making sure that text can never be 3 digits so formats it to 2 digits
text = text[:2]
if text.startswith("0") and len(text) > 1 and text[1:].isdigit():
# Loop through each character in "text"
for extra in text:
audio_filename = f"Audio/{extra}.mp3"
audio_seg = AudioSegment.from_mp3(audio_filename)
combined_audio_seg += audio_seg
else:
audio_filename = f"Audio/{text}.mp3"
audio_seg = AudioSegment.from_mp3(audio_filename)
combined_audio_seg += audio_seg
# Export the combined audio file
audio_seg = AudioSegment.from_mp3("Audio/kilo.mp3")
combined_audio_seg += audio_seg
combined_audio_filename = "audio.mp3"
combined_audio_seg.export(combined_audio_filename, format="mp3")
return combined_audio_filename
# FastAPI endpoint to trigger async start_recording
@app.post("/start_recording")
async def api_start_recording():
asyncio.create_task(start_recording())
return {"message": "Started recording asynchronously"}
@app.get("/audio")
async def play_audio():
await audio_manager.play_audio_async("audio.mp3")
return {"message": "Audio playback started on server"}
@app.get("/video")
async def video_endpoint(request: Request):
await audio_manager.play_audio_async("audio.mp3")
return templates.TemplateResponse("video.html", {"request": request})
async def check_picture():
# Convert the Numpy array to an image file-like object
try:
result = model.predict("combined_area.png", confidence=40, overlap=30).json()
# Sort the predictions by the "x" value
sorted_predictions = sorted(result["predictions"], key=lambda k: k["x"])
# Update the original result with the sorted predictions
result["predictions"] = sorted_predictions
classes = []
# Loop through each sorted prediction and add the "class" to the classes list
for prediction in sorted_predictions:
classes.append(prediction["class"])
# Join the classes into a single string
classes_string = "".join(classes)
print(classes_string)
except:
print("no visable numbers")
new_result = []
return classes_string
async def update_csv(result, in_or_out, scale):
global weekdays_name
if in_or_out == "None":
await audio_manager.play_audio_async("Audio/support.mp3")
print("Kan icke vara None")
return
if result is None:
print("No result to update CSV.")
return
week = datetime.now().isocalendar().week
weekday = datetime.now().isocalendar().weekday
weekday = weekdays_name[weekday - 1]
file_name = f"{in_or_out}/{in_or_out}_Elektronik_{week}.csv"
file_exists = os.path.isfile(f"WeeklyUpdates/{file_name}")
# If the file doesn't exist, create a new one with the header row
if not file_exists:
with open(f"WeeklyUpdates/{file_name}", "w", newline="") as csvfile:
writer = csv.writer(csvfile, delimiter=",", quotechar='"')
writer.writerow(["Vikt", "Datum", "Total Vikt"])
csvfile.close()
# Read the existing CSV file
with open(f"WeeklyUpdates/{file_name}", "r") as csvfile:
reader = csv.reader(csvfile, delimiter=",", quotechar='"')
rows = list(reader)
# Check if the date already exists
# Add the weights for the current date
total_weight = 0
for row in rows:
if row[1] == weekday:
total_weight += float(row[0])
try:
while float(result) > 30.0 and scale:
result = float(result) / 10
except ValueError as ve:
print(f"Error converting result to float: {ve}")
# Handle the error or return from the function
# Round the result to 2 decimal places
result = round(float(result), 2)
total_weight += float(result)
rows.append([str(result), weekday, round(total_weight, 2)])
# Write the updated rows to the CSV file
with open(f"WeeklyUpdates/{file_name}", "w", newline="") as csvfile:
writer = csv.writer(csvfile, delimiter=",", quotechar='"')
writer.writerows(rows)
return "Done"
def start_pynput_listener():
with keyboard.Listener(on_press=on_press) as listener:
listener.join()
# When the FastAPI application starts, run the pynput listener in an executor
@app.on_event("startup")
def start_listener_on_startup():
loop = asyncio.get_running_loop()
listener_thread = loop.run_in_executor(None, start_pynput_listener)
if __name__ == "__main__":
uvicorn.run(app, host="localhost", port=3333)
|
367b2873a20a4fc49d499910c3b1fa72
|
{
"intermediate": 0.40395140647888184,
"beginner": 0.3848145306110382,
"expert": 0.21123406291007996
}
|
32,690
|
Реализуй код из статьи "A Novel Method of Detecting Lines on a Noisy" на python, из библиотек используй только numpy.
|
111affe726a4141d7c70a73d60ec57f8
|
{
"intermediate": 0.21621061861515045,
"beginner": 0.110663041472435,
"expert": 0.6731262803077698
}
|
32,691
|
def detect_lines(image, threshold):
# Преобразование изображения в оттенки серого
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Применение фильтра Собеля для обнаружения границ
sobel_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])
gradient_x = convolution(gray, sobel_x)
gradient_y = convolution(gray, sobel_y)
# Вычисление амплитуды градиента
gradient_magnitude = np.sqrt(np.power(gradient_x, 2) + np.power(gradient_y, 2))
# Бинаризация изображения по порогу
binary_image = np.where(gradient_magnitude > threshold, 255, 0)
# Применение оператора Хафа для обнаружения линий
lines = hough_transform(binary_image)
# Фильтрация линий по углу
filtered_lines = []
for rho, theta in lines:
if abs(theta - 90) >= 30:
filtered_lines.append((rho, theta))
return filtered_lines
def convolution(image, kernel):
return cv2.filter2D(image, -1, kernel)
def hough_transform(image):
lines = []
_, threshold_image = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)
hough_space = cv2.HoughLines(threshold_image, 1, np.pi / 180, threshold=150)
if hough_space is not None:
for rho, theta in hough_space[:, 0, :]:
lines.append((rho, np.rad2deg(theta)))
return lines
# Загрузка изображения
image = cv2.imread(“0.0/01.pgm”)
# Установка порогового значения
threshold = 100
# Обнаружение линий на зашумленном изображении
lines = detect_lines(image, threshold)
# Визуализация обнаруженных линий
plt.imshow(image, cmap=“gray”)
plt.title(“Noisy Image”)
plt.axis(“off”)
for rho, theta in lines:
a = np.cos(np.deg2rad(theta))
b = np.sin(np.deg2rad(theta))
x0 = a * rho
y0 = b * rho
x1 = int(x0 + 1000 * (-b))
y1 = int(y0 + 1000 * (a))
x2 = int(x0 - 1000 * (-b))
y2 = int(y0 - 1000 * (a))
plt.plot([x1, x2], [y1, y2], “r”)
plt.show()
Напиши этот код без cv2, используй только numpy
|
aa427e5e412a3d0badd16c6a9446c1c3
|
{
"intermediate": 0.218312606215477,
"beginner": 0.494952917098999,
"expert": 0.2867344617843628
}
|
32,693
|
Cannot highlight attribute of block when select range using acedGetPoint and acedGetCorner in c++?
|
53ce0af19687813514ac28d6e3a86f13
|
{
"intermediate": 0.5078803300857544,
"beginner": 0.19753888249397278,
"expert": 0.2945808172225952
}
|
32,694
|
class EvidentaApp(QtWidgets.QTabWidget):
def __init__(self, parent=None):
super(EvidentaApp, self).__init__(parent)
self.setWindowTitle("Evidenta Incasari/Depuneri")
self.setStyleSheet("""
QTabBar::tab {
padding: 10px 15px;
border-radius: 5px;
border: 1px solid #cccccc;
}
QTabBar::tab:hover {
background: #5499C7;
border-color: #3677b0;
}
QTabBar::tab:selected {
background: #AED6F1;
border-color: #97cdde;
}
""")
self.tabs = {
'Cash': CashTab(self),
'Depunere': QtWidgets.QLabel('Aici poți gestiona depunerile.'),
'Monetar': QtWidgets.QLabel('Aici poți gestiona aspecte monetare.'),
'Centralizator': QtWidgets.QLabel('Aici poți accesa centralizatorul.'),
'Bani Loc': QtWidgets.QLabel('Aici poți gestiona banii locali.')
}
for tab, widget in self.tabs.items():
self.addTab(widget, tab)
# Set a fixed width
self.setFixedWidth(800) # Change 800 to the width you want
def main():
app = QtWidgets.QApplication([])
window = EvidentaApp()
window.show()
app.exec_()
if __name__ == "__main__":
main() ; vreau sa rescrii codul centrand taburile
|
a32b3379447d8110f80c9f9e5a17d247
|
{
"intermediate": 0.40571215748786926,
"beginner": 0.3587319552898407,
"expert": 0.23555593192577362
}
|
32,695
|
import numpy as np
def detect_lines(image, threshold):
# Применение фильтра Собеля для обнаружения границ
sobel_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])
gradient_x = convolution(image, sobel_x)
gradient_y = convolution(image, sobel_y)
# Вычисление амплитуды градиента
gradient_magnitude = np.sqrt(np.power(gradient_x, 2) + np.power(gradient_y, 2))
# Бинаризация изображения по порогу
binary_image = np.where(gradient_magnitude > threshold, 255, 0)
# Применение оператора Хафа для обнаружения линий
lines = hough_transform(binary_image)
# Фильтрация линий по углу
filtered_lines = []
for rho, theta in lines:
if np.abs(theta - 90) >= 30:
filtered_lines.append((rho, theta))
return filtered_lines
def convolution(image, kernel):
return np.abs(np.sum(np.multiply(image, kernel)))
def hough_transform(image):
lines = []
threshold_image = np.where(image > 127, 255, 0)
height, width = threshold_image.shape
diagonal = np.int(np.ceil(np.sqrt(height2 + width2)))
accumulator = np.zeros((2 * diagonal, 180), dtype=np.int)
for x in range(height):
for y in range(width):
if threshold_image[x, y] != 0:
for angle in range(0, 180):
radian = np.pi/180 * angle
rho = int(x * np.cos(radian) + y * np.sin(radian))
accumulator[rho + diagonal, angle] += 1
for rho in range(2 * diagonal):
for angle in range(180):
if accumulator[rho, angle] > 150:
lines.append((rho - diagonal, angle))
return lines
# Загрузка изображения
image = cv2.imread("0.0/01.pgm", cv2.COLOR_BGR2GRAY)
# Установка порогового значения
threshold = 100
# Обнаружение линий на зашумленном изображении
lines = detect_lines(image, threshold)
# Визуализация обнаруженных линий
plt.imshow(image, cmap="gray")
plt.title("Noisy Image")
plt.axis("off")
for rho, theta in lines:
a = np.cos(np.deg2rad(theta))
b = np.sin(np.deg2rad(theta))
x0 = a * rho
y0 = b * rho
x1 = int(x0 + 1000 * (-b))
y1 = int(y0 + 1000 * (a))
x2 = int(x0 - 1000 * (-b))
y2 = int(y0 - 1000 * (a))
plt.plot([x1, x2], [y1, y2], "r")
plt.show()
ПОЛУЧАЮ ОШИБКУ:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-35-c8e54e5cb62c> in <cell line: 64>()
62
63 # Обнаружение линий на зашумленном изображении
---> 64 lines = detect_lines(image, threshold)
65
66 # Визуализация обнаруженных линий
1 frames
<ipython-input-35-c8e54e5cb62c> in detect_lines(image, threshold)
7 sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])
8
----> 9 gradient_x = convolution(image, sobel_x)
10 gradient_y = convolution(image, sobel_y)
11
<ipython-input-35-c8e54e5cb62c> in convolution(image, kernel)
28
29 def convolution(image, kernel):
---> 30 return np.abs(np.sum(np.multiply(image, kernel)))
31
32 def hough_transform(image):
ValueError: operands could not be broadcast together with shapes (500,500) (3,3)
ИСПРАВЬ КОД
|
1bbb7b5565b3b5fcae391d31baa1e3ee
|
{
"intermediate": 0.27882060408592224,
"beginner": 0.4229174554347992,
"expert": 0.29826200008392334
}
|
32,696
|
import numpy as np
def detect_lines(image, threshold):
# Применение фильтра Собеля для обнаружения границ
sobel_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])
gradient_x = convolution(image, sobel_x)
gradient_y = convolution(image, sobel_y)
# Вычисление амплитуды градиента
gradient_magnitude = np.sqrt(np.power(gradient_x, 2) + np.power(gradient_y, 2))
# Бинаризация изображения по порогу
binary_image = np.where(gradient_magnitude > threshold, 255, 0)
# Применение оператора Хафа для обнаружения линий
lines = hough_transform(binary_image)
# Фильтрация линий по углу
filtered_lines = []
for rho, theta in lines:
if np.abs(theta - 90) >= 30:
filtered_lines.append((rho, theta))
return filtered_lines
def convolution(image, kernel):
return cv2.filter2D(image, -1, kernel)
def hough_transform(image):
lines = []
threshold_image = np.where(image > 127, 255, 0)
height, width = threshold_image.shape
diagonal = np.int(np.ceil(np.sqrt(height ** 2 + width ** 2)))
accumulator = np.zeros((2 * diagonal, 180), dtype=np.int)
for x in range(height):
for y in range(width):
if threshold_image[x, y] != 0:
for angle in range(0, 180):
radian = np.pi/180 * angle
rho = int(x * np.cos(radian) + y * np.sin(radian))
accumulator[rho + diagonal, angle] += 1
for rho in range(2 * diagonal):
for angle in range(180):
if accumulator[rho, angle] > 150:
lines.append((rho - diagonal, angle))
return lines
# Загрузка изображения
image = cv2.imread("0.1/02.pgm", cv2.COLOR_BGR2GRAY)
# Установка порогового значения
threshold = 100
# Обнаружение линий на зашумленном изображении
lines = detect_lines(image, threshold)
# Визуализация обнаруженных линий
plt.imshow(image, cmap="gray")
plt.title("Noisy Image")
plt.axis("off")
for rho, theta in lines:
a = np.cos(np.deg2rad(theta))
b = np.sin(np.deg2rad(theta))
x0 = a * rho
y0 = b * rho
x1 = int(x0 + 1000 * (-b))
y1 = int(y0 + 1000 * (a))
x2 = int(x0 - 1000 * (-b))
y2 = int(y0 - 1000 * (a))
plt.plot([x1, x2], [y1, y2], "r")
plt.show()
На этот код получаю такое:
<ipython-input-42-fd01029c64cc>:39: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
diagonal = np.int(np.ceil(np.sqrt(height ** 2 + width ** 2)))
<ipython-input-42-fd01029c64cc>:40: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
accumulator = np.zeros((2 * diagonal, 180), dtype=np.int)
В добавок к этому, код выводит только noisy image, а я хочу, чтобы он рисовал получившиеся прямые и печатал в консоль их уравнения
|
1693cc3dd0059a833339ff61eb8d8c02
|
{
"intermediate": 0.2616270184516907,
"beginner": 0.5112543106079102,
"expert": 0.22711867094039917
}
|
32,697
|
fix my code "keyCells, tempkeyCells = {}, {}
class Base:
def printBoard(base: list) -> None:
lastRow = [chr(i) for i in range(ord("a"),ord("h")+1)]
for rowNum, row in enumerate(base):print(f"{8-rowNum}. {' '.join(row)}")
print(f" {'. '.join(lastRow)}.")
def makeBoard() -> list:
base, WHITE, BLACK, CENTER = [], [["wp","wp","wp","wp","wp","wp","wp","wp"],["wr","wn","wb","wq","wk","wb","wn","wr"]], [["br","bn","bb","bq","bk","bb","bn","br"],["bp","bp","bp","bp","bp","bp","bp","bp"]], [["--" for i in range(8)] for j in range(4)]
base.extend(BLACK); base.extend(CENTER); base.extend(WHITE)
Base.printBoard(base)
for row in range(8):
for col in range(8):chessCoor = f"{chr(col+ord('a'))}{8-row}";keyCells[chessCoor] = base[row][col]
return base
def modifyKeyCells(initial: str, piece: str, initialMove:str, finalMove: str, available: list, check: bool) -> bool:
if finalMove in available:
if not check:tempkeyCells[finalMove] = f"{initial}{piece}";tempkeyCells[initialMove] = "--"
return True
return False
def modifyBoard() -> list:
base, temp, count = [], [], 0
for ele in list(keyCells.items()):
temp.append(ele[1])
count += 1
if count % 8 == 0:base.append(temp);temp = []
return base
def outroPerMove() -> None:
for i, j in tempkeyCells.items():keyCells[i] = j
base = Base.modifyBoard();Base.printBoard(base)
class Algorithms:
def vertical(initial: str, initialMove: str, finalMove: str) -> list:
if initialMove[0] == initialMove[0]:
available, temp = [], []
for i in list(keyCells.keys()):
if i[0] == initialMove[0]:temp.append(i)
if temp != []:
previous = initialMove
indexCell1 = temp[::-1].index(initialMove)
for i in temp[::-1][indexCell1+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
previous = initialMove;indexCell2 = temp.index(initialMove)
for i in temp[indexCell2+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
return available
return []
def horizontal(initial: str, initialMove: str, finalMove: str) -> list:
if initialMove[1] == initialMove[1]:
available, temp = [], []
for i in list(keyCells.keys()):
if i[1] == initialMove[1]:temp.append(i)
if temp != []:
previous = initialMove
indexCell1 = temp.index(initialMove)
for i in temp[indexCell1+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
previous = initialMove;indexCell2 = temp[::-1].index(initialMove)
for i in temp[indexCell2+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
return available
return []
def diagonalLR(initial: str, initialMove: str) -> list:
available, temp = [], []
for i in list(keyCells.keys()):
if ord(i[0])-ord(initialMove[0]) == int(initialMove[1])-int(i[1]) or i == initialMove:temp.append(i)
if temp != []:
previous = initialMove
indexCell1 = temp.index(initialMove)
for i in temp[indexCell1+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
previous = initialMove;indexCell2 = temp[::-1].index(initialMove)
for i in temp[::-1][indexCell2+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
return available
return []
def diagonalRL(initial: str, initialMove: str) -> list:
available, temp = [], []
for i in list(keyCells.keys()):
if ord(i[0])-ord(initialMove[0]) == int(i[1])-int(initialMove[1]) or i == initialMove:temp.append(i)
if temp != []:
previous = initialMove
indexCell1 = temp.index(initialMove)
for i in temp[indexCell1+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
previous = initialMove;indexCell2 = temp[::-1].index(initialMove)
for i in temp[::-1][indexCell2+1:]:
if keyCells[i] != "--" and keyCells[i][0] == keyCells[previous][0]:break
elif keyCells[i][0] != initial:available.append(i)
previous = i
return available
return []
def checks(initial: str, coor: str) -> bool:
kingCoor, initials = "", ["w","b"];initials.remove(initial)
if coor == "":
for i, j in tempkeyCells.items():
if j == f"{initial}k":kingCoor = i
else:kingCoor = coor
for i, j in tempkeyCells.items():
if j[1] == "p":
valid = Pieces.pawn(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "n":
valid = Pieces.horse(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "r":
valid = Pieces.rook(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "b":
valid = Pieces.bishop(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "q":
valid = Pieces.queen(initials[0], i, kingCoor, True)
if valid:return True
return False
def checkmate(initial: str) -> bool:
available, kingCoor, initials, surrounds, result = [], "", ["w","b"], [(-1,-1),(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1)], [];initials.remove(initial)
for i, j in tempkeyCells.items():
if j == f"{initials[0]}k":kingCoor = i
for surround in surrounds:
checkCoor = (ord(kingCoor[0])+surround[0]-ord("a"), int(kingCoor[1])+surround[1])
if checkCoor[0] in range(8) and checkCoor[1] in range(1,9):
checkChessCoor = chr(checkCoor[0]+97)+str(checkCoor[1]);piece = keyCells[checkChessCoor]
if piece == "--" or piece[0] == initial:available.append(checkChessCoor)
available.append(kingCoor)
for temp in available:result.append((Algorithms.checks(initials[0], temp),temp))
for temp in result:
if temp[0]:available.remove(temp[1])
if available == []:return True, available
return False, available
def pin(initial: str, position: str) -> bool:
test, initials, kingCoor = {}, ["w","b"], "";initials.remove(initial)
for i, j in tempkeyCells.items():test[i] = j
test[position] = "--"
for i, j in tempkeyCells.items():
if j == f"{initials[0]}k":kingCoor = i
for i, j in test.items():
if j[0] == initials[0]:
if j[1] == "p":
valid = Pieces.pawn(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "n":
valid = Pieces.horse(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "r":
valid = Pieces.rook(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "b":
valid = Pieces.bishop(initials[0], i, kingCoor, True)
if valid:return True
elif j[1] == "q":
valid = Pieces.queen(initials[0], i, kingCoor, True)
if valid:return True
return False
class Pieces:
def pawn(initial: str, initialMove: str, finalMove: str, check: bool) -> bool:
available, initials = [], ["w","b"];initials.remove(initial)
if initial == "w" and initialMove[1] == "2":surrounds = [(-1,1),(0,1),(1,1),(0,2)]
elif initial == "b" and initialMove[1] == "7":surrounds = [(0,-1),(0,-2),(1,-1),(-1,1)]
elif initial == "w":surrounds = [(-1,1),(0,1),(1,1)]
else:surrounds = [(-1,-1),(0,-1),(1,-1)]
for surround in surrounds:
checkCoor = (ord(initialMove[0])+surround[0]-ord("a"), int(initialMove[1])+surround[1])
if checkCoor[0] in range(8) and checkCoor[1] in range(1,9):
checkChessCoor = chr(checkCoor[0]+97)+str(checkCoor[1]);piece = keyCells[checkChessCoor]
if piece == "--" and checkChessCoor[0] == initialMove[0] or piece[0] in initials:available.append(checkChessCoor)
result = Base.modifyKeyCells(initial, "p", initialMove, finalMove, available, check);return result
def horse(initial: str, initialMove: str, finalMove: str, check: bool) -> bool:
available, initials = [], ["w","b"];initials.remove(initial)
surrounds = [(2,1),(2,-1),(-1,2),(1,2),(-2,1),(-2,-1),(-1,-2),(1,-2)]
for surround in surrounds:
checkCoor = (ord(initialMove[0])-ord("a")+surround[0], int(initialMove[1])+surround[1])
if checkCoor[0] in range(8) and checkCoor[1] in range(1,9):
checkChessCoor = chr(checkCoor[0]+97)+str(checkCoor[1])
piece = keyCells[checkChessCoor]
if piece == "--" or piece[0] in initials:available.append(checkChessCoor)
result = Base.modifyKeyCells(initial, "n", initialMove, finalMove, available, check);return result
def rook(initial: str, initialMove: str, finalMove: str, check: bool) -> bool:
available = [];available.extend(Algorithms.vertical(initial, initialMove, finalMove));available.extend(Algorithms.horizontal(initial, initialMove, finalMove));result = Base.modifyKeyCells(initial, "r", initialMove, finalMove, available, check);return result
def bishop(initial: str, initialMove: str, finalMove: str, check: bool) -> bool:
available = [];available.extend(Algorithms.diagonalLR(initial, initialMove));available.extend(Algorithms.diagonalRL(initial, initialMove));result = Base.modifyKeyCells(initial, "b", initialMove, finalMove, available, check);return result
def queen(initial: str, initialMove: str, finalMove: str, check: bool) -> bool:
available = [];available.extend(Algorithms.diagonalLR(initial, initialMove));available.extend(Algorithms.diagonalRL(initial, initialMove));available.extend(Algorithms.vertical(initial, initialMove, finalMove));available.extend(Algorithms.horizontal(initial, initialMove, finalMove));result = Base.modifyKeyCells(initial, "q", initialMove, finalMove, available, check);return result
def king(initial: str, initialMove: str, finalMove: str, check: bool) -> bool:
available, initials = [], ["w","b"];initials.remove(initial)
surrounds = [(-1,-1),(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1)]
for surround in surrounds:
checkCoor = (ord(initialMove[0])+surround[0]-ord("a"), int(initialMove[1])+surround[1])
if checkCoor[0] in range(8) and checkCoor[1] in range(1,9):
checkChessCoor = chr(checkCoor[0]+97)+str(checkCoor[1]);piece = keyCells[checkChessCoor]
if piece == "--" and checkChessCoor[0] == initialMove[0] or piece[0] in initials:available.append(checkChessCoor)
result = Base.modifyKeyCells(initial, "k", initialMove, finalMove, available, check);return result
def game(moves: list) -> None:
global tempkeyCells, keyCells;previous, pieceMove, blackWin, whiteWin = None, False, False, False
for num, move in enumerate(moves):
if move[0][0] == "w":player = "white move: "
elif move[0][0] == "b":player = "black move: "
print(player+f"{move[0]}({move[1][0][0]}.{move[1][0][1]}.,{move[1][1][0]}.{move[1][1][1]}.)")
if move[0][0] == previous:print(f"error {move[0]}({move[1][0][0]}.{move[1][0][1]}.,{move[1][1][0]}.{move[1][1][1]}.)");break
initialMove, finalMove, tempkeyCells, valid = move[1][0], move[1][1], {}, False
for i, j in keyCells.items():tempkeyCells[i] = j
if move[0][1] == "p":
if tempkeyCells[initialMove][1] == "p":
resultTemp = Algorithms.pin(move[0][0], initialMove)
if not resultTemp:valid = Pieces.pawn(move[0][0], initialMove, finalMove, False)
pieceMove = True
elif move[0][1] == "n":
if tempkeyCells[initialMove][1] == "n":
resultTemp = Algorithms.pin(move[0][0], initialMove)
if not resultTemp:valid = Pieces.horse(move[0][0], initialMove, finalMove, False)
pieceMove = True
elif move[0][1] == "r":
if tempkeyCells[initialMove][1] == "r":
resultTemp = Algorithms.pin(move[0][0], initialMove)
if not resultTemp:valid = Pieces.rook(move[0][0], initialMove, finalMove, False)
pieceMove = True
elif move[0][1] == "b":
if tempkeyCells[initialMove][1] == "b":
resultTemp = Algorithms.pin(move[0][0], initialMove)
if not resultTemp:valid = Pieces.bishop(move[0][0], initialMove, finalMove, False)
pieceMove = True
elif move[0][1] == "q":
if tempkeyCells[initialMove][1] == "q":
resultTemp = Algorithms.pin(move[0][0], initialMove)
if not resultTemp:valid = Pieces.queen(move[0][0], initialMove, finalMove, False)
pieceMove = True
elif move[0][1] == "k":
if tempkeyCells[initialMove][1] == "k":valid = Pieces.king(move[0][0], initialMove, finalMove, False)
pieceMove = True
if pieceMove and valid:
valid = Algorithms.checks(move[0][0], "")
if valid:
result, available = Algorithms.checkmate(move[0][0])
if result:
if move[0][0] == "w":whiteWin = True
elif move[0][0] == "b":blackWin = True
if num == len(moves)-1:
Base.outroPerMove()
if move[0][0] == "w":print("white win!")
elif move[0][0] == "b":print("black win!")
break
elif not result and (whiteWin or blackWin):
if move[0][0] == "w":whiteWin = False
elif move[0][0] == "b":blackWin = False
elif result and (whiteWin or blackWin):
Base.outroPerMove()
if move[0][0] == "w":print("white win!")
elif move[0][0] == "b":print("black win!")
break
if pieceMove and not valid:
if not valid:
print(f"error {move[0]}({move[1][0][0]}.{move[1][0][1]}.,{move[1][1][0]}.{move[1][1][1]}.)")
for i, j in keyCells.items():tempkeyCells[i] = j
break
if pieceMove and valid:Base.outroPerMove()
previous = move[0][0]
if __name__ == "__main__":
rawMoves, moves = input().replace(".","").split(), []
for move in rawMoves:temp = (move[:2], move[2:].strip("()").split(","));moves.append(temp)
base = Base.makeBoard();game(moves)
" such that when i input "wp(e.2.,e.4.) bp(a.7.,a.6.) wp(d.2.,d.4.) bp(g.7.,g.5.) wq(d.1.,h.5.) bp(f.7.,f.6.)" it output "8. br bn bb bq bk bb bn br
7. bp bp bp bp bp bp bp bp
6. -- -- -- -- -- -- -- --
5. -- -- -- -- -- -- -- --
4. -- -- -- -- -- -- -- --
3. -- -- -- -- -- -- -- --
2. wp wp wp wp wp wp wp wp
1. wr wn wb wq wk wb wn wr
a. b. c. d. e. f. g. h.
white move: wp(e.2.,e.4.)
8. br bn bb bq bk bb bn br
7. bp bp bp bp bp bp bp bp
6. -- -- -- -- -- -- -- --
5. -- -- -- -- -- -- -- --
4. -- -- -- -- wp -- -- --
3. -- -- -- -- -- -- -- --
2. wp wp wp wp -- wp wp wp
1. wr wn wb wq wk wb wn wr
a. b. c. d. e. f. g. h.
black move: bp(a.7.,a.6.)
8. br bn bb bq bk bb bn br
7. -- bp bp bp bp bp bp bp
6. bp -- -- -- -- -- -- --
5. -- -- -- -- -- -- -- --
4. -- -- -- -- wp -- -- --
3. -- -- -- -- -- -- -- --
2. wp wp wp wp -- wp wp wp
1. wr wn wb wq wk wb wn wr
a. b. c. d. e. f. g. h.
white move: wp(d.2.,d.4.)
8. br bn bb bq bk bb bn br
7. -- bp bp bp bp bp bp bp
6. bp -- -- -- -- -- -- --
5. -- -- -- -- -- -- -- --
4. -- -- -- wp wp -- -- --
3. -- -- -- -- -- -- -- --
2. wp wp wp -- -- wp wp wp
1. wr wn wb wq wk wb wn wr
a. b. c. d. e. f. g. h.
black move: bp(g.7.,g.5.)
8. br bn bb bq bk bb bn br
7. -- bp bp bp bp bp -- bp
6. bp -- -- -- -- -- -- --
5. -- -- -- -- -- -- bp --
4. -- -- -- wp wp -- -- --
3. -- -- -- -- -- -- -- --
2. wp wp wp -- -- wp wp wp
1. wr wn wb wq wk wb wn wr
a. b. c. d. e. f. g. h.
white move: wq(d.1.,h.5.)
8. br bn bb bq bk bb bn br
7. -- bp bp bp bp bp -- bp
6. bp -- -- -- -- -- -- --
5. -- -- -- -- -- -- bp wq
4. -- -- -- wp wp -- -- --
3. -- -- -- -- -- -- -- --
2. wp wp wp -- -- wp wp wp
1. wr wn wb -- wk wb wn wr
a. b. c. d. e. f. g. h.
black move: bp(f.7.,f.6.)
error bp(f.7.,f.6.)"
|
574e652672550c2355905e53b4c00013
|
{
"intermediate": 0.22846585512161255,
"beginner": 0.5406774878501892,
"expert": 0.23085671663284302
}
|
32,698
|
PowerShell -ExecutionPolicy Unrestricted -Command "Remove-Item -Path 'HKLM:\SOFTWARE\Microsoft\Windows\CurrentVersion\Appx\AppxAllUserStore\EndOfLife\*' -Force -Verbose"
Remove-Item : Requested registry access is not allowed.
At line:1 char:1
+ Remove-Item -Path 'HKLM:\SOFTWARE\Microsoft\Windows\CurrentVersion\Ap ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+ CategoryInfo : PermissionDenied: (HKEY_LOCAL_MACH...Store\EndOfLife:String) [Remove-Item], SecurityExce
ption
+ FullyQualifiedErrorId : System.Security.SecurityException,Microsoft.PowerShell.Commands.RemoveItemCommand
|
b9d7437c3d8c36e80c2bdb8acc82df87
|
{
"intermediate": 0.3549075126647949,
"beginner": 0.3924771845340729,
"expert": 0.2526152431964874
}
|
32,699
|
How can I calculate YLDs for a disease?
|
c3bde5fc7b505b14acc7cc068bdd831d
|
{
"intermediate": 0.38389289379119873,
"beginner": 0.2716880440711975,
"expert": 0.34441906213760376
}
|
32,700
|
Can you explain in a simply way what a primary key is in SQL, what is it for, why is it needed, and how is it used, what is the purpose of having a primary key?
|
b214d93ffbaec50b7ce311daa51264f4
|
{
"intermediate": 0.3437657356262207,
"beginner": 0.3469039499759674,
"expert": 0.3093303143978119
}
|
32,701
|
Please polish this sentence for academic paper
|
c5b8414b1ee621c17a31b829353d8339
|
{
"intermediate": 0.27890312671661377,
"beginner": 0.3006695806980133,
"expert": 0.4204273223876953
}
|
32,702
|
Can you link me a website that has good fire tv 2023 debloat list for adb shell
|
00fad704d257f60cadc5eddce9efa2c7
|
{
"intermediate": 0.33502107858657837,
"beginner": 0.37263181805610657,
"expert": 0.29234713315963745
}
|
32,703
|
Object ARX, how to highlight attributes of a Block reference?
|
8ff406c2e7e7a4723ea84fa4f2f424b9
|
{
"intermediate": 0.5424612164497375,
"beginner": 0.22822386026382446,
"expert": 0.2293148934841156
}
|
32,704
|
import time
start_time = time.time()
image = cv2.imread("0.6/00.pgm", cv2.COLOR_BGR2GRAY)
IMAGE_THRESHOLD = 100
def count_zero_pixels(image):
zero_pixels = np.count_nonzero(image == 0)
return zero_pixels
def calculate_zero_pixel_percentage(image):
total_pixels = image.size
zero_pixels = count_zero_pixels(image)
zero_percentage = zero_pixels / total_pixels * 100
return zero_percentage
zero_percentage = calculate_zero_pixel_percentage(image)
if zero_percentage > 75:
IMAGE_THRESHOLD = 0
print(f"image_threshold: {IMAGE_THRESHOLD}")
print(f"Процент зануленных пикселей относительно всех пикселей: {zero_percentage}%")
def get_coords_by_threshold(
image: np.ndarray, threshold: int = IMAGE_THRESHOLD
) -> tuple:
"""Gets pixel coords with intensity more then 'theshold'."""
coords = np.where(image > threshold)
return coords
def delete_pixels_by_min_threshold(
image: np.ndarray, min_threshold: int = IMAGE_THRESHOLD
) -> np.ndarray:
"""Deletes coords from image and returns this image."""
anti_coords = np.where(image < min_threshold)
image[anti_coords] = 0
return image
def get_neigh_nums_list(
coords: tuple, kernel_size: int = 3
) -> list:
"""
Gets list with number of neighborhoods by kernel.
Returns list like [[x1, y1, N1], [x2, y2, N2]],
Where N - neighborhood's number.
"""
neigh_nums = []
offset = (kernel_size - 1) // 2
for x, y in zip(coords[0], coords[1]):
if x < 0 + offset or x > image.shape[0] - offset:
continue
if y < 0 + offset or y > image.shape[1] - offset:
continue
kernel = image[x-offset:x+offset+1, y-offset:y+offset+1]
step_neigh_num = np.count_nonzero(kernel) - 1
neigh_nums.append([x, y, step_neigh_num])
return neigh_nums
def get_neigh_coeffs_list(
coords: tuple, kernel: np.array
) -> list:
"""
Gets list with number of neighborhoods by kernel.
Returns list like [[x1, y1, N1], [x2, y2, N2]],
Where N - neighborhood's coeffs.
"""
neigh_coeffs = []
offset = (kernel.shape[0] - 1) // 2
print(offset)
for x, y in zip(coords[0], coords[1]):
if x < 0 + offset or x > image.shape[0] - offset:
continue
if y < 0 + offset or y > image.shape[1] - offset:
continue
image_kernel = image[x-offset:x+offset+1, y-offset:y+offset+1]
step_neigh_coeff = np.sum(kernel * image_kernel)
neigh_coeffs.append([x, y, step_neigh_coeff])
# print(image_kernel)
print(neigh_coeffs)
return neigh_coeffs
def sort_neight_nums_by_N(neigh_nums: list) -> np.ndarray:
"""
Sort neigh_nums by N parameter.
Removes N=-1, N=0 and sorts by N desc.
"""
np_neigh_nums = np.array(neigh_nums)
np_neigh_nums = np_neigh_nums[
(np_neigh_nums[:, 2] != -1) & (np_neigh_nums[:, 2] != 0)]
np_neigh_nums = np_neigh_nums[
np.argsort(-np_neigh_nums[:, 2])]
return np_neigh_nums
def get_potential_points_coords(
sorted_niegh_nums: np.ndarray, potential_points_num: int = 100
) -> np.ndarray:
"""
Gets best candidates, potential points coords only.
Returns np.ndarray like [[x1, y1], [x2, y2]].
"""
sorted_neigh_nums = np.delete(sorted_niegh_nums, 2, axis=1)
return sorted_neigh_nums[:potential_points_num]
def get_best_lines(potential_points: np.ndarray) -> np.ndarray:
"""
Gets best combinations of lines by all points.
Line y = kx + b.
Returns np.ndarray like [[k1, b1], [k2, b2]].
"""
best_lines = []
num_lines = 0
iterations_num = 1000
threshold_distance = 1
threshold_k = 0.5
threshold_b = 20
while num_lines < 3:
if num_lines == 0:
remaining_points = np.copy(potential_points)
print(f"remaining points: {len(remaining_points)}")
best_inliers = []
best_line = None
for i in range(iterations_num):
sample_indices = np.random.choice(remaining_points.shape[0], size=3, replace=False)
sample_points = remaining_points[sample_indices]
sample_x = sample_points[:, 1]
sample_y = sample_points[:, 0]
coefficients = np.polyfit(sample_x, sample_y, deg=1)
distances = np.abs(remaining_points[:, 0] - np.matmul(np.vstack((remaining_points[:, 1], np.ones_like(remaining_points[:, 1]))).T, coefficients)) / np.sqrt(coefficients[0] ** 2 + 1)
inliers = np.where(distances < threshold_distance)[0]
is_similar = False
for line in best_lines:
diff_k = abs(coefficients[0] - line[0])
diff_b = abs(coefficients[1] - line[1])
if diff_k <= threshold_k and diff_b <= threshold_b:
is_similar = True
break
if not is_similar and len(inliers) > len(best_inliers):
best_line = coefficients
best_inliers = inliers
if best_line is not None:
best_lines.append(best_line)
# buffer = remaining_points
remaining_points = np.delete(remaining_points, best_inliers, axis=0)
# if len(remaining_points) < 1:
# remaining_points = np.append(remaining_points, buffer[:len(buffer)//2 + 1])
num_lines += 1
return np.array(best_lines)
def __get_best_lines(
self,
potential_points: np.ndarray
) -> np.ndarray:
"""
Gets the best lines using the least squares method.
Line y = kx + b.
Returns np.ndarray like [[k1, b1], [k2, b2]].
"""
remaining_points = np.copy(potential_points)
best_lines = []
num_lines = 0
while num_lines < 3:
if num_lines == 0:
remaining_points = np.copy(potential_points)
print(f"remaining points: {len(remaining_points)}")
best_line = None
lowest_residual = float("inf")
for i in range(self.iterations_num):
sample_indices = np.random.choice(
remaining_points.shape[0], size=3, replace=False)
sample_points = remaining_points[sample_indices]
sample_x = sample_points[:, 1]
sample_y = sample_points[:, 0]
coefficients = np.polyfit(sample_x, sample_y, deg=1)
predicted_y = np.polyval(coefficients, sample_x)
residual = np.sum((predicted_y - sample_y) ** 2)
if residual < lowest_residual:
best_line = coefficients
lowest_residual = residual
if best_line is not None:
best_lines.append(best_line)
remaining_points = np.delete(remaining_points, np.argmin(lowest_residual))
num_lines += 1
return np.array(best_lines)
# main
coords = get_coords_by_threshold(image)
# @@@
kernel = np.array([[-1, -1, -1, -1, -1], [-1, 4, 4, 4, -1], [-1, 4, 0, 4, -1], [-1, 4, 4, 4, -1], [-1, -1, -1, -1, -1]])
neigh_nums = get_neigh_coeffs_list(coords, kernel)
sorted_neigh_nums = sort_neight_nums_by_N(neigh_nums)
potential_points = get_potential_points_coords(sorted_neigh_nums)
best_lines = get_best_lines(potential_points)
print(best_lines)
# Visualization
plt.imshow(image, cmap="gray")
plt.scatter(potential_points[:, 1], potential_points[:, 0], color="red", marker="o")
plt.show()
# Plot the lines on the image
for equation in best_lines:
k, b = equation
x = np.arange(0, image.shape[1])
y = k * x + b
plt.imshow(image, cmap="gray")
plt.scatter(potential_points[:, 1], potential_points[:, 0], color="red", marker="o")
plt.plot(x, y, color="green")
plt.scatter(potential_points[:, 1], potential_points[:, 0], color="red", marker="o")
plt.show()
intersection_points = np.array([
np.linalg.solve(np.array([[best_lines[0][0], -1], [best_lines[1][0], -1]]), np.array([-best_lines[0][1], -best_lines[1][1]])),
np.linalg.solve(np.array([[best_lines[0][0], -1], [best_lines[2][0], -1]]), np.array([-best_lines[0][1], -best_lines[2][1]])),
np.linalg.solve(np.array([[best_lines[1][0], -1], [best_lines[2][0], -1]]), np.array([-best_lines[1][1], -best_lines[2][1]]))
], dtype=np.float32)
print(intersection_points)
end_time = time.time()
elapsed_time = end_time - start_time
print('Elapsed time: ', elapsed_time)
ПОЛУЧАЮ ОШИБКУ:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-88-ee602731a358> in <cell line: 229>()
227 # @@@
228 kernel = np.array([[-1, -1, -1, -1, -1], [-1, 4, 4, 4, -1], [-1, 4, 0, 4, -1], [-1, 4, 4, 4, -1], [-1, -1, -1, -1, -1]])
--> 229 neigh_nums = get_neigh_coeffs_list(coords, kernel)
230
231 sorted_neigh_nums = sort_neight_nums_by_N(neigh_nums)
<ipython-input-88-ee602731a358> in get_neigh_coeffs_list(coords, kernel)
88
89 image_kernel = image[x-offset:x+offset+1, y-offset:y+offset+1]
---> 90 step_neigh_coeff = np.sum(kernel * image_kernel)
91 neigh_coeffs.append([x, y, step_neigh_coeff])
92 # print(image_kernel)
ValueError: operands could not be broadcast together with shapes (5,5) (5,4)
ИСПРАВЬ КОД!
|
0fa0604f07124804b2962cbc5c8041c7
|
{
"intermediate": 0.25378498435020447,
"beginner": 0.4486115872859955,
"expert": 0.29760339856147766
}
|
32,705
|
help me set this up so it parse correctly:
{"conversationId":"51D|BingProdUnAuthenticatedUsers|2AEE7A1A12BF234D88F2C934BC6DC84B94F035858132779195DD76BEDB9FFA35","clientId":"275F6B8F1AFD69790B2D78581BDC685D","result":{"value":"Success","message":null},"encryptedconversationsignature":"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"}
request_message = {
"conversationId": create.text['conversationId'],
"encryptedconversationsignature": create.text['encryptedconversationsignature'],
"clientId": create.text['clientId'],
"invocationId": 0,
"conversationStyle": "Balanced",
"prompt": "Hey there",
"allowSearch": 'true',
"context": ""
}
|
8a7507fb5a59722909b9fd37f4cecb63
|
{
"intermediate": 0.30916351079940796,
"beginner": 0.3739350438117981,
"expert": 0.31690141558647156
}
|
32,706
|
this is the response:
{}{"type":1,"target":"update","arguments":[{"affinityInfo":{"affinityTokenKeyName":"X-MS-AffinityToken","expirationTime":"2023-11-28T07:33:02.0827064Z","sessionId":"1a9981388dc84e05bdeb9d07924cb983","sessionIdKeyName":"X-Chat-SessionId","token":"eyJEIjoiMjAyMy0xMS0yOFQwNzoyMzowMi4wODQ2NTE0KzAwOjAwIiwiRSI6Imh0dHBzOi8vMTAuMjUuMjQ0LjEyODoyMDA2MC8iLCJTSCI6IlgtQ2hhdC1TZXNzaW9uSWQiLCJTViI6IjFhOTk4MTM4OGRjODRlMDViZGViOWQwNzkyNGNiOTgzIiwiRiI6ZmFsc2UsIlRUTCI6NjAwfQ.XJ3RLk2v4hru6XVVT_ZvKzjvBMCJmIvnh4AynTkiytg"}}]}{"type":1,"target":"update","arguments":[{"requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203","throttling":{"maxNumUserMessagesInConversation":10,"numUserMessagesInConversation":1,"maxNumLongDocSummaryUserMessagesInConversation":5,"numLongDocSummaryUserMessagesInConversation":0}}]}{"type":1,"target":"update","arguments":[{"cursor":{"j":"$['a7613b29-fa18-4c03-bae7-825453c50533'].adaptiveCards[0].body[0].text","p":-1},"messages":[{"text":"Hello","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello!","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello!","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! 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How can I help you today?","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today?","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today? \uD83D\uDE0A","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! 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How can I help you today? \uD83D\uDE0A","author":"bot","createdAt":"2023-11-28T07:23:04.0747641+00:00","timestamp":"2023-11-28T07:23:04.0747641+00:00","messageId":"a7613b29-fa18-4c03-bae7-825453c50533","requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203","offense":"None","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today? \uD83D\uDE0A\n","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo","suggestedResponses":[{"text":"What is your name?","author":"user","createdAt":"2023-11-28T07:23:05.7828052+00:00","timestamp":"2023-11-28T07:23:05.7828052+00:00","messageId":"8a872b4c-b32e-4d18-a562-5e94eb94ae24","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"},{"text":"Can you tell me a joke?","author":"user","createdAt":"2023-11-28T07:23:05.7828059+00:00","timestamp":"2023-11-28T07:23:05.7828059+00:00","messageId":"92c7142f-1a22-437e-8fa9-e4906516dc78","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"},{"text":"How do I make an omelette?","author":"user","createdAt":"2023-11-28T07:23:05.7828063+00:00","timestamp":"2023-11-28T07:23:05.7828063+00:00","messageId":"bf7412b6-426e-49c6-a33b-ebe5684423a9","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"}]}],"firstNewMessageIndex":1,"defaultChatName":null,"conversationId":"51D|BingProdUnAuthenticatedUsers|EA2C2C37D81B5A5877B74D0FD6E3F69895642FBDD8077BA4F097374E429E6CA7","requestId":"7548ee7f-0cf8-4fa0-9f38-f6ca49d4c203","conversationExpiryTime":"2023-11-28T13:23:05.8078354Z","shouldInitiateConversation":true,"telemetry":{"startTime":"2023-11-28T07:23:01.9538532Z"},"throttling":{"maxNumUserMessagesInConversation":10,"numUserMessagesInConversation":1,"maxNumLongDocSummaryUserMessagesInConversation":5,"numLongDocSummaryUserMessagesInConversation":0},"result":{"value":"Success","message":"Hello! How can I help you today? \uD83D\uDE0A","serviceVersion":"20231124.41"}}}{"type":3,"invocationId":"0"}
but I only wanna extract this line
"result":{"value":"Success","message":"Hello! How can I help you today? \uD83D\uDE0A","serviceVersion":"20231124.41"}}}{"type":3,"invocationId":"0"}
and specifically
“Hello! How can I help you today?” part
|
e44aca8060f2f813bd0b9d75d7139022
|
{
"intermediate": 0.21160933375358582,
"beginner": 0.5839802026748657,
"expert": 0.20441056787967682
}
|
32,707
|
The procedures below are the detailed implementation of the blocks presented in the flowchart in the Method section. The code is in Pseudo-code form and should give the reader a good idea of how to implement our novel algorithm.
Procedure 1 Whole Image Correlation Analysis
1: functionCORRELATION(testimage,angrange,brange,sigma)
2: imgsize = size(testimage);
3:
4: if length(imgsize)>2 then
5: testimage = rgb2gray(testimage);
6: end if
7:
8: xsize = imgsize(2);
9: ysize = imgsize(1);
10: subimage = single(testimage);
11:
12: medianint = median(testimage(testimage>0));
13: angles = angrange(1):angrange(2):angrange(3);
14: trans = brange(1):brange(2):brange(3);
15: corrmap = zeros(length(angles), length(trans));
16:
17: for thetaind = 1:length(angles) do
18: for 19:
20:
21:
for bind = 1:length(trans) do
theta = angles(thetaind);
b = trans(bind);
refline = REFERENCE_Line_Gen(xsize,ysize,theta,b,sigma); temp = refline .∗subimage;
temp2 = sum(temp(:));
temp3 = temp2/medianint; corrmap(thetaind, bind) = temp3;
22: 23: 24: 25:
26: end for
27: end for
28:
29: return corrmap 30:
31: endfunction
◃ Test if the image is a RGB image
32
Procedure 2 Reference Line Generation
1: functionREFERENCE_LINE_GEN(xsize,ysize,θ,b,σ)
2: [Xmesh, Ymesh] = meshgrid(1:xsize, 1:ysize) ◃ Create empty template image
3: Xmesh = Xmesh - single(xsize) / 2 ◃ Single means value to single precision
4: Ymesh = Ymesh - single(ysize) / 2
5:
6: angle=(θ*pi)/180
7: dist = single(b - (Xmesh*sin(angle)) - (Ymesh*cos(angle)))
8: distance = single (((dist).2) / (sigma2))
9: result = exp(-distance)
10:
11: return result
12: endfunction
Procedure 3 Peak Extraction Algorithm
1: functionMAX_INTENSITY_FINDING(correlation_map,dist_input)
2: if (nargin == 2) then
3: distance_threshold = dist_input;
4: else
5: distance_threshold = 10;
6: end if
7: size_corr = size(correlation_map);
8: label_map = zeros(size_corr);
9: [xgrid,ygrid] = meshgrid(1:size_corr(2), 1:size_corr(1));
10:
11: for indx = 1:size_corr(2) do
◃ default value
12: for 13:
14:
15:
indy = 1:size_corr(1) do
dist = sqrt((xgrid-indx)2 + (ygrid-indy)2);
pixuseful = dist < distance_threshold;
if (correlation_map(indy,indx) >= max(correlation_map(pixuseful))) then
◃ Filter out false peaks
label_map(indy,indx) = 1;
16: 17:
18: end for
19: end for
20:
21: label_map(correlation_map == 0) = 0;
22: endfunction
реализуй этот алгоритм на python, из библиотек можно использовать только numpy, код должен детектировать прямые, образующие треугольник на черно-белом изображении
|
ea24b718a0a45bf5b94dfb4904be391b
|
{
"intermediate": 0.33684447407722473,
"beginner": 0.4219834804534912,
"expert": 0.24117207527160645
}
|
32,708
|
how can I extract the text from this response?
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How can","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today?","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today?","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today? \uD83D\uDE0A","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today? \uD83D\uDE0A","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today? \uD83D\uDE0A\n","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today? \uD83D\uDE0A\n","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today? \uD83D\uDE0A\n","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","offense":"Unknown","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today? \uD83D\uDE0A\n","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo"}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":1,"target":"update","arguments":[{"messages":[{"text":"Hello! How can I help you today? \uD83D\uDE0A","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0","offense":"None","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today? \uD83D\uDE0A\n","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo","suggestedResponses":[{"text":"What is the weather like today?","author":"user","createdAt":"2023-11-28T07:33:37.5530381+00:00","timestamp":"2023-11-28T07:33:37.5530381+00:00","messageId":"92a88f9a-5715-493d-88a6-7a49552de181","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"},{"text":"Tell me a joke.","author":"user","createdAt":"2023-11-28T07:33:37.553039+00:00","timestamp":"2023-11-28T07:33:37.553039+00:00","messageId":"1dd9f2ac-d788-431b-a303-2c3764f5f749","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"},{"text":"Who won the last Super Bowl?","author":"user","createdAt":"2023-11-28T07:33:37.5530394+00:00","timestamp":"2023-11-28T07:33:37.5530394+00:00","messageId":"70bdbb9e-81ba-43cb-a008-49526f68fa41","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"}]}],"requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0"}]}{"type":2,"invocationId":"0","item":{"messages":[{"text":"hey there","author":"user","from":{"id":"1D976681D225658027467556D395649E","name":null,"partnerId":null},"createdAt":"2023-11-28T07:33:34.6133288+00:00","timestamp":"2023-11-28T07:33:34.6072787+00:00","locale":"zh-CN","market":"zh-US","region":"US","locationInfo":{"country":"美国","state":"维吉尼亚州","city":"Washington","sourceType":1,"isImplicitLocationIntent":false},"locationHints":[{"country":"United States","countryConfidence":8,"state":"California","city":"Los Angeles","timeZoneOffset":8,"sourceType":1,"center":{"latitude":34.05369,"longitude":-118.24277,"height":null},"regionType":2}],"messageId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0","requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0","nlu":{"scoredClassification":{"classification":"CHAT_GPT","score":null},"classificationRanking":[{"classification":"CHAT_GPT","score":null}],"qualifyingClassifications":null,"ood":null,"metaData":null,"entities":null},"offense":"None","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"cib","scores":[{"component":"UserOffense","score":0.007695647},{"component":"suicide_help","score":0.022201229}],"inputMethod":"Keyboard"},{"text":"Hello! How can I help you today? \uD83D\uDE0A","author":"bot","createdAt":"2023-11-28T07:33:35.8788784+00:00","timestamp":"2023-11-28T07:33:35.8788784+00:00","messageId":"9a424056-9b5e-42b8-ab20-83447350441e","requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0","offense":"None","adaptiveCards":[{"type":"AdaptiveCard","version":"1.0","body":[{"type":"TextBlock","text":"Hello! How can I help you today? \uD83D\uDE0A\n","wrap":true}]}],"sourceAttributions":[],"feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"DeepLeo","suggestedResponses":[{"text":"What is the weather like today?","author":"user","createdAt":"2023-11-28T07:33:37.5530381+00:00","timestamp":"2023-11-28T07:33:37.5530381+00:00","messageId":"92a88f9a-5715-493d-88a6-7a49552de181","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"},{"text":"Tell me a joke.","author":"user","createdAt":"2023-11-28T07:33:37.553039+00:00","timestamp":"2023-11-28T07:33:37.553039+00:00","messageId":"1dd9f2ac-d788-431b-a303-2c3764f5f749","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"},{"text":"Who won the last Super Bowl?","author":"user","createdAt":"2023-11-28T07:33:37.5530394+00:00","timestamp":"2023-11-28T07:33:37.5530394+00:00","messageId":"70bdbb9e-81ba-43cb-a008-49526f68fa41","messageType":"Suggestion","offense":"Unknown","feedback":{"tag":null,"updatedOn":null,"type":"None"},"contentOrigin":"SuggestionChipsFalconService"}]}],"firstNewMessageIndex":1,"defaultChatName":null,"conversationId":"51D|BingProdUnAuthenticatedUsers|FA811430B842F1E8666222BC023686DC6957E0750E344B8320DB37C98D5D5B6A","requestId":"512f8c6d-b8f6-4527-ab42-f2bbb00f1ae0","conversationExpiryTime":"2023-11-28T13:33:37.5771879Z","shouldInitiateConversation":true,"telemetry":{"startTime":"2023-11-28T07:33:34.6074747Z"},"throttling":{"maxNumUserMessagesInConversation":10,"numUserMessagesInConversation":1,"maxNumLongDocSummaryUserMessagesInConversation":5,"numLongDocSummaryUserMessagesInConversation":0},"result":{"value":"Success","message":"Hello! How can I help you today? \uD83D\uDE0A","serviceVersion":"20231124.41"}}}{"type":3,"invocationId":"0"}
|
7783b8a07c7f869b89d3dfc09b409fc0
|
{
"intermediate": 0.24546882510185242,
"beginner": 0.42562222480773926,
"expert": 0.3289089798927307
}
|
32,709
|
django 3.2
Operand should contain 1 column(s)
how to count records
|
5af478480451079618dec34ccd3440e6
|
{
"intermediate": 0.5565676689147949,
"beginner": 0.21835365891456604,
"expert": 0.22507867217063904
}
|
32,710
|
this is a c++ program. #include<iostream>
using namespace std;
int main(){
int rows;
cout<<"Enter number of rows: ";
cin>>rows;
for(int i=1; i<=rows; ++i){
for(int j=1; j<=i; ++j){
cout<<"* ";
}
cout<<"\n";
}
return 0;
}
do these modifications in this c++ program:
classes Tasks
replace * with numbers
reverse?Flip the output
|
dfda6ff0f690a9e84b00936afac618d4
|
{
"intermediate": 0.24999742209911346,
"beginner": 0.6110841631889343,
"expert": 0.1389184594154358
}
|
32,711
|
Hi - I have a pandas dataframe in Python. One of the columns has entries like this "namexyz_blabla_jadajada_4_10_99".
I want to make 3 new columns each having the last 3 numbers from each row, split by the "_".
How do I do that?
|
3af4ac1ca9ae11f07fef86b51f0e2e5f
|
{
"intermediate": 0.7108118534088135,
"beginner": 0.08451440185308456,
"expert": 0.20467373728752136
}
|
32,712
|
Write a Genshin Impact wish simulation code in python
|
efe9473d8b462a95ff6e7b64aac41675
|
{
"intermediate": 0.1907380372285843,
"beginner": 0.1630522459745407,
"expert": 0.6462097764015198
}
|
32,713
|
arrume isso #include <iostream>
#include <map>
#include <string>
#include <sstream>
#include <cstdlib>
#include <winsock2.h>
#include <windows.h>
// Função de conversão para string
template <typename T>
std::string to_string(T value) {
std::ostringstream oss;
oss << value;
return oss.str();
}
// Classe para gerenciar JSON
class JSONManager {
public:
// Estrutura para representar um valor JSON
struct JSONValue {
enum Type { StringType, IntType, DoubleType };
Type type;
std::string value;
JSONValue() : type(StringType), value("") {}
JSONValue(Type t, const std::string& v) : type(t), value(v) {}
JSONValue(int v) : type(IntType) { value = intToString(v); }
JSONValue(double v) : type(DoubleType) { value = doubleToString(v); }
JSONValue(const std::string& v) : type(StringType), value(v) {}
std::string intToString(int n) {
std::stringstream ss;
ss << n;
return ss.str();
}
std::string doubleToString(double d) {
std::stringstream ss;
ss << d;
return ss.str();
}
};
// Método para serializar um objeto JSON para string
static std::string serialize(const std::map<std::string, JSONValue>& jsonObject) {
std::string result = "{";
std::map<std::string, JSONValue>::const_iterator it = jsonObject.begin();
while (it != jsonObject.end()) {
result += "\"" + it->first + "\":" + "\"" + valueToString(it->second) + "\"";
if (++it != jsonObject.end()) {
result += ",";
}
}
result += "}";
return result;
}
// Método para desserializar uma string JSON para um objeto JSON
static std::map<std::string, JSONValue> deserialize(const std::string& jsonString) {
std::map<std::string, JSONValue> result;
size_t startPos = jsonString.find("{") + 1;
size_t endPos = jsonString.rfind("}");
std::string jsonContent = jsonString.substr(startPos, endPos - startPos);
size_t pos = 0;
while (pos < jsonContent.size()) {
size_t colonPos = jsonContent.find(":", pos);
size_t commaPos = jsonContent.find(",", pos);
std::string key = jsonContent.substr(pos, colonPos - pos);
key = removeQuotes(key);
std::string value;
if (commaPos != std::string::npos) {
value = jsonContent.substr(colonPos + 1, commaPos - colonPos - 1);
} else {
value = jsonContent.substr(colonPos + 1);
}
JSONValue typedValue = convertFromString(value);
result.insert(std::make_pair(key, typedValue));
if (commaPos != std::string::npos) {
pos = commaPos + 1;
} else {
break;
}
}
return result;
}
// Método para modificar o valor de uma chave em um objeto JSON
static bool modifyValue(std::map<std::string, JSONValue>& jsonObject, const std::string& key, const JSONValue& newValue) {
std::map<std::string, JSONValue>::iterator it = jsonObject.find(key);
if (it != jsonObject.end()) {
it->second = newValue;
return true;
} else {
return false;
}
}
private:
// Método auxiliar para converter um valor JSON para string
static std::string valueToString(const JSONValue& value) {
return value.value;
}
// Método auxiliar para remover as aspas de uma string
static std::string removeQuotes(const std::string& input) {
std::string result = input;
result.erase(std::remove(result.begin(), result.end(), '\"'), result.end());
return result;
}
// Método auxiliar para converter uma string para um valor JSON
static JSONValue convertFromString(const std::string& value) {
if (isString(value)) {
return JSONValue(JSONValue::StringType, removeQuotes(value));
} else if (isInteger(value)) {
return JSONValue(atoi(value.c_str()));
} else if (isDouble(value)) {
return JSONValue(atof(value.c_str()));
} else {
return JSONValue();
}
}
// Método auxiliar para verificar se uma string representa um valor string JSON
static bool isString(const std::string& value) {
return (!value.empty() && value[0] == '\"' && value[value.length() - 1] == '\"');
}
// Método auxiliar para verificar se uma string representa um valor inteiro JSON
static bool isInteger(const std::string& value) {
size_t pos;
std::istringstream iss(value);
int testInt;
iss >> std::noskipws >> testInt;
return (!iss.fail() && iss.eof());
}
// Método auxiliar para verificar se uma string representa um valor double JSON
static bool isDouble(const std::string& value) {
size_t pos;
std::istringstream iss(value);
double testDouble;
iss >> std::noskipws >> testDouble;
return (!iss.fail() && iss.eof());
}
};
class WebSocketClient {
public:
WebSocketClient(const std::string& serverAddress, int serverPort, const std::string& path)
: serverAddress(serverAddress), serverPort(serverPort), path(path), clientSocket(INVALID_SOCKET), communicationThread(0) {}
~WebSocketClient() {
StopThread();
CloseConnection();
CleanupWinsock();
}
void Connect() {
if (!InitializeWinsock()) {
return;
}
if (!CreateSocket()) {
CleanupWinsock();
return;
}
if (!EstablishConnection()) {
CleanupWinsock();
return;
}
std::cout << "Connected to the WebSocket server." << std::endl;
if (!WebSocketHandshake()) {
std::cerr << "WebSocket handshake failed." << std::endl;
CleanupWinsock();
return;
}
std::map<std::string, JSONManager::JSONValue> jsonObject;
jsonObject["comando"] = JSONManager::JSONValue(1);
jsonObject["nomeJogo"] = JSONManager::JSONValue("Nine");
jsonObject["terminal"] = JSONManager::JSONValue(1);
jsonObject["aposta"] = JSONManager::JSONValue(2);
jsonObject["valorMoeda"] = JSONManager::JSONValue(20);
jsonObject["upAc1"] = JSONManager::JSONValue(0.1);
jsonObject["upAc1X"] = JSONManager::JSONValue(0);
jsonObject["upCxRemoto"] = JSONManager::JSONValue(1.2);
jsonObject["Grupo"] = JSONManager::JSONValue(1);
SendWebSocketHandshake();
communicationThread = CreateThread(NULL, 0, &WebSocketClient::WebSocketCommunicationThreadStatic, this, 0, NULL);
}
void StopThread() {
if (communicationThread != 0) {
WaitForSingleObject(communicationThread, INFINITE);
CloseHandle(communicationThread);
communicationThread = 0;
}
}
void SendWebSocketHandshake() {
const std::string CRLF = "\r\n";
const std::string key = "x3JJHMbDL1EzLkh9GBhXDw==";
std::string handshakeRequest =
"GET " + path + " HTTP/1.1" + CRLF +
"Host: " + serverAddress + ":" + to_string(serverPort) + CRLF +
"Connection: Upgrade" + CRLF +
"Upgrade: websocket" + CRLF +
"Sec-WebSocket-Key: " + key + CRLF +
"Sec-WebSocket-Version: 13" + CRLF +
CRLF;
send(clientSocket, handshakeRequest.c_str(), handshakeRequest.length(), 0);
}
private:
std::string serverAddress;
int serverPort;
std::string path;
SOCKET clientSocket;
HANDLE communicationThread;
bool InitializeWinsock() {
WSADATA wsaData;
return WSAStartup(MAKEWORD(2, 2), &wsaData) == 0;
}
void CleanupWinsock() {
WSACleanup();
}
bool CreateSocket() {
clientSocket = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP);
if (clientSocket == INVALID_SOCKET) {
std::cerr << "Error creating socket: " << WSAGetLastError() << std::endl;
return false;
}
return true;
}
bool EstablishConnection() {
sockaddr_in serverAddr;
serverAddr.sin_family = AF_INET;
serverAddr.sin_port = htons(serverPort);
serverAddr.sin_addr.s_addr = inet_addr(serverAddress.c_str());
if (connect(clientSocket, (sockaddr*)&serverAddr, sizeof(serverAddr)) == SOCKET_ERROR) {
std::cerr << "Error connecting to server: " << WSAGetLastError() << std::endl;
return false;
}
return true;
}
void CloseConnection() {
closesocket(clientSocket);
}
bool WebSocketHandshake() {
const int bufferSize = 4096;
char buffer[bufferSize];
int bytesRead = recv(clientSocket, buffer, bufferSize, 0);
if (bytesRead == SOCKET_ERROR) {
std::cerr << "Error receiving handshake response: " << WSAGetLastError() << std::endl;
return false;
}
buffer[bytesRead] = '\0';
std::string response(buffer);
if (response.find("HTTP/1.1 101 Switching Protocols") == std::string::npos) {
std::cerr << "Invalid handshake response." << std::endl;
return false;
}
return true;
}
static DWORD WINAPI WebSocketCommunicationThreadStatic(LPVOID param) {
WebSocketClient* webSocketClient = static_cast<WebSocketClient*>(param);
webSocketClient->WebSocketCommunicationThread();
return 0;
}
void WebSocketCommunicationThread() {
const int bufferSize = 4096;
char buffer[bufferSize];
while (true) {
int bytesRead = recv(clientSocket, buffer, bufferSize, 0);
if (bytesRead == SOCKET_ERROR) {
std::cerr << "Error receiving data: " << WSAGetLastError() << std::endl;
break;
} else if (bytesRead == 0) {
std::cerr << "Connection closed by peer." << std::endl;
break;
}
ProcessReceivedMessage(buffer, bytesRead);
}
}
void ProcessReceivedMessage(const char* buffer, int length) {
// Implemente a lógica para processar a mensagem recebida aqui
// Este é o local onde você lidaria com os dados recebidos do servidor WebSocket
}
};
int main() {
try {
WebSocketClient webSocketClient("192.168.1.200", 12345, "/api");
webSocketClient.Connect();
while (true) {
// Lógica principal do jogo
}
} catch (const std::exception& e) {
std::cerr << "Exception: " << e.what() << std::endl;
}
return 0;
}
|
4b4c02c0fa54db693be3983539d337c4
|
{
"intermediate": 0.3675007224082947,
"beginner": 0.5324367880821228,
"expert": 0.1000625267624855
}
|
32,714
|
我的项目Java11升级到17报错
报错日志给你 帮我分析问题具体出在哪 如何修改
10:25:24: Executing task ':classes --stacktrace'...
> Task :compileJava
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1 ������
> Task :compileJava FAILED
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.6.3/userguide/command_line_interface.html#sec:command_line_warnings
1 actionable task: 1 executed
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':compileJava'.
> java.lang.ExceptionInInitializerError
* Try:
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
* Exception is:
org.gradle.api.tasks.TaskExecutionException: Execution failed for task ':compileJava'.
at org.gradle.api.internal.tasks.execution.ExecuteActionsTaskExecuter.lambda$executeIfValid$1(ExecuteActionsTaskExecuter.java:142)
at org.gradle.internal.Try$Failure.ifSuccessfulOrElse(Try.java:282)
at org.gradle.api.internal.tasks.execution.ExecuteActionsTaskExecuter.executeIfValid(ExecuteActionsTaskExecuter.java:140)
at org.gradle.api.internal.tasks.execution.ExecuteActionsTaskExecuter.execute(ExecuteActionsTaskExecuter.java:128)
at org.gradle.api.internal.tasks.execution.CleanupStaleOutputsExecuter.execute(CleanupStaleOutputsExecuter.java:77)
at org.gradle.api.internal.tasks.execution.FinalizePropertiesTaskExecuter.execute(FinalizePropertiesTaskExecuter.java:46)
at org.gradle.api.internal.tasks.execution.ResolveTaskExecutionModeExecuter.execute(ResolveTaskExecutionModeExecuter.java:51)
at org.gradle.api.internal.tasks.execution.SkipTaskWithNoActionsExecuter.execute(SkipTaskWithNoActionsExecuter.java:57)
at org.gradle.api.internal.tasks.execution.SkipOnlyIfTaskExecuter.execute(SkipOnlyIfTaskExecuter.java:57)
at org.gradle.api.internal.tasks.execution.CatchExceptionTaskExecuter.execute(CatchExceptionTaskExecuter.java:36)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter$1.executeTask(EventFiringTaskExecuter.java:77)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter$1.call(EventFiringTaskExecuter.java:55)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter$1.call(EventFiringTaskExecuter.java:52)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:204)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:199)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:66)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:157)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.call(DefaultBuildOperationRunner.java:53)
at org.gradle.internal.operations.DefaultBuildOperationExecutor.call(DefaultBuildOperationExecutor.java:73)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter.execute(EventFiringTaskExecuter.java:52)
at org.gradle.execution.plan.LocalTaskNodeExecutor.execute(LocalTaskNodeExecutor.java:69)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$InvokeNodeExecutorsAction.execute(DefaultTaskExecutionGraph.java:322)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$InvokeNodeExecutorsAction.execute(DefaultTaskExecutionGraph.java:309)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$BuildOperationAwareExecutionAction.execute(DefaultTaskExecutionGraph.java:302)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$BuildOperationAwareExecutionAction.execute(DefaultTaskExecutionGraph.java:288)
at org.gradle.execution.plan.DefaultPlanExecutor$ExecutorWorker.execute(DefaultPlanExecutor.java:462)
at org.gradle.execution.plan.DefaultPlanExecutor$ExecutorWorker.run(DefaultPlanExecutor.java:379)
at org.gradle.internal.concurrent.ExecutorPolicy$CatchAndRecordFailures.onExecute(ExecutorPolicy.java:64)
at org.gradle.internal.concurrent.ManagedExecutorImpl$1.run(ManagedExecutorImpl.java:49)
Caused by: java.lang.RuntimeException: java.lang.ExceptionInInitializerError
at jdk.compiler/com.sun.tools.javac.api.JavacTaskImpl.invocationHelper(JavacTaskImpl.java:168)
at jdk.compiler/com.sun.tools.javac.api.JavacTaskImpl.doCall(JavacTaskImpl.java:100)
at jdk.compiler/com.sun.tools.javac.api.JavacTaskImpl.call(JavacTaskImpl.java:94)
at org.gradle.internal.compiler.java.IncrementalCompileTask.call(IncrementalCompileTask.java:92)
at org.gradle.api.internal.tasks.compile.AnnotationProcessingCompileTask.call(AnnotationProcessingCompileTask.java:94)
at org.gradle.api.internal.tasks.compile.ResourceCleaningCompilationTask.call(ResourceCleaningCompilationTask.java:57)
at org.gradle.api.internal.tasks.compile.JdkJavaCompiler.execute(JdkJavaCompiler.java:55)
at org.gradle.api.internal.tasks.compile.JdkJavaCompiler.execute(JdkJavaCompiler.java:39)
at org.gradle.api.internal.tasks.compile.NormalizingJavaCompiler.delegateAndHandleErrors(NormalizingJavaCompiler.java:98)
at org.gradle.api.internal.tasks.compile.NormalizingJavaCompiler.execute(NormalizingJavaCompiler.java:52)
at org.gradle.api.internal.tasks.compile.NormalizingJavaCompiler.execute(NormalizingJavaCompiler.java:38)
at org.gradle.api.internal.tasks.compile.AnnotationProcessorDiscoveringCompiler.execute(AnnotationProcessorDiscoveringCompiler.java:51)
at org.gradle.api.internal.tasks.compile.AnnotationProcessorDiscoveringCompiler.execute(AnnotationProcessorDiscoveringCompiler.java:37)
at org.gradle.api.internal.tasks.compile.ModuleApplicationNameWritingCompiler.execute(ModuleApplicationNameWritingCompiler.java:46)
at org.gradle.api.internal.tasks.compile.ModuleApplicationNameWritingCompiler.execute(ModuleApplicationNameWritingCompiler.java:36)
at org.gradle.jvm.toolchain.internal.DefaultToolchainJavaCompiler.execute(DefaultToolchainJavaCompiler.java:57)
at org.gradle.api.tasks.compile.JavaCompile.lambda$createToolchainCompiler$1(JavaCompile.java:237)
at org.gradle.api.internal.tasks.compile.CleaningJavaCompiler.execute(CleaningJavaCompiler.java:53)
at org.gradle.api.internal.tasks.compile.incremental.IncrementalCompilerFactory.lambda$createRebuildAllCompiler$0(IncrementalCompilerFactory.java:52)
at org.gradle.api.internal.tasks.compile.incremental.SelectiveCompiler.execute(SelectiveCompiler.java:70)
at org.gradle.api.internal.tasks.compile.incremental.SelectiveCompiler.execute(SelectiveCompiler.java:44)
at org.gradle.api.internal.tasks.compile.incremental.IncrementalResultStoringCompiler.execute(IncrementalResultStoringCompiler.java:66)
at org.gradle.api.internal.tasks.compile.incremental.IncrementalResultStoringCompiler.execute(IncrementalResultStoringCompiler.java:52)
at org.gradle.api.internal.tasks.compile.CompileJavaBuildOperationReportingCompiler$2.call(CompileJavaBuildOperationReportingCompiler.java:59)
at org.gradle.api.internal.tasks.compile.CompileJavaBuildOperationReportingCompiler$2.call(CompileJavaBuildOperationReportingCompiler.java:51)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:204)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:199)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:66)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:157)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.call(DefaultBuildOperationRunner.java:53)
at org.gradle.internal.operations.DefaultBuildOperationExecutor.call(DefaultBuildOperationExecutor.java:73)
at org.gradle.api.internal.tasks.compile.CompileJavaBuildOperationReportingCompiler.execute(CompileJavaBuildOperationReportingCompiler.java:51)
at org.gradle.api.tasks.compile.JavaCompile.performCompilation(JavaCompile.java:288)
at org.gradle.api.tasks.compile.JavaCompile.performIncrementalCompilation(JavaCompile.java:170)
at org.gradle.api.tasks.compile.JavaCompile.compile(JavaCompile.java:148)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at org.gradle.internal.reflect.JavaMethod.invoke(JavaMethod.java:125)
at org.gradle.api.internal.project.taskfactory.IncrementalInputsTaskAction.doExecute(IncrementalInputsTaskAction.java:32)
at org.gradle.api.internal.project.taskfactory.StandardTaskAction.execute(StandardTaskAction.java:51)
at org.gradle.api.internal.project.taskfactory.AbstractIncrementalTaskAction.execute(AbstractIncrementalTaskAction.java:25)
at org.gradle.api.internal.project.taskfactory.StandardTaskAction.execute(StandardTaskAction.java:29)
at org.gradle.api.internal.tasks.execution.TaskExecution$3.run(TaskExecution.java:236)
at org.gradle.internal.operations.DefaultBuildOperationRunner$1.execute(DefaultBuildOperationRunner.java:29)
at org.gradle.internal.operations.DefaultBuildOperationRunner$1.execute(DefaultBuildOperationRunner.java:26)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:66)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:157)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.run(DefaultBuildOperationRunner.java:47)
at org.gradle.internal.operations.DefaultBuildOperationExecutor.run(DefaultBuildOperationExecutor.java:68)
at org.gradle.api.internal.tasks.execution.TaskExecution.executeAction(TaskExecution.java:221)
at org.gradle.api.internal.tasks.execution.TaskExecution.executeActions(TaskExecution.java:204)
at org.gradle.api.internal.tasks.execution.TaskExecution.executeWithPreviousOutputFiles(TaskExecution.java:187)
at org.gradle.api.internal.tasks.execution.TaskExecution.execute(TaskExecution.java:165)
at org.gradle.internal.execution.steps.ExecuteStep.executeInternal(ExecuteStep.java:89)
at org.gradle.internal.execution.steps.ExecuteStep.access$000(ExecuteStep.java:40)
at org.gradle.internal.execution.steps.ExecuteStep$1.call(ExecuteStep.java:53)
at org.gradle.internal.execution.steps.ExecuteStep$1.call(ExecuteStep.java:50)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:204)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:199)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:66)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:157)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.call(DefaultBuildOperationRunner.java:53)
at org.gradle.internal.operations.DefaultBuildOperationExecutor.call(DefaultBuildOperationExecutor.java:73)
at org.gradle.internal.execution.steps.ExecuteStep.execute(ExecuteStep.java:50)
at org.gradle.internal.execution.steps.ExecuteStep.execute(ExecuteStep.java:40)
at org.gradle.internal.execution.steps.RemovePreviousOutputsStep.execute(RemovePreviousOutputsStep.java:68)
at org.gradle.internal.execution.steps.RemovePreviousOutputsStep.execute(RemovePreviousOutputsStep.java:38)
at org.gradle.internal.execution.steps.CancelExecutionStep.execute(CancelExecutionStep.java:41)
at org.gradle.internal.execution.steps.TimeoutStep.executeWithoutTimeout(TimeoutStep.java:74)
at org.gradle.internal.execution.steps.TimeoutStep.execute(TimeoutStep.java:55)
at org.gradle.internal.execution.steps.CreateOutputsStep.execute(CreateOutputsStep.java:51)
at org.gradle.internal.execution.steps.CreateOutputsStep.execute(CreateOutputsStep.java:29)
at org.gradle.internal.execution.steps.CaptureStateAfterExecutionStep.executeDelegateBroadcastingChanges(CaptureStateAfterExecutionStep.java:124)
at org.gradle.internal.execution.steps.CaptureStateAfterExecutionStep.execute(CaptureStateAfterExecutionStep.java:80)
at org.gradle.internal.execution.steps.CaptureStateAfterExecutionStep.execute(CaptureStateAfterExecutionStep.java:58)
at org.gradle.internal.execution.steps.ResolveInputChangesStep.execute(ResolveInputChangesStep.java:48)
at org.gradle.internal.execution.steps.ResolveInputChangesStep.execute(ResolveInputChangesStep.java:36)
at org.gradle.internal.execution.steps.BuildCacheStep.executeWithoutCache(BuildCacheStep.java:181)
at org.gradle.internal.execution.steps.BuildCacheStep.lambda$execute$1(BuildCacheStep.java:71)
at org.gradle.internal.Either$Right.fold(Either.java:175)
at org.gradle.internal.execution.caching.CachingState.fold(CachingState.java:59)
at org.gradle.internal.execution.steps.BuildCacheStep.execute(BuildCacheStep.java:69)
at org.gradle.internal.execution.steps.BuildCacheStep.execute(BuildCacheStep.java:47)
at org.gradle.internal.execution.steps.StoreExecutionStateStep.execute(StoreExecutionStateStep.java:36)
at org.gradle.internal.execution.steps.StoreExecutionStateStep.execute(StoreExecutionStateStep.java:25)
at org.gradle.internal.execution.steps.RecordOutputsStep.execute(RecordOutputsStep.java:36)
at org.gradle.internal.execution.steps.RecordOutputsStep.execute(RecordOutputsStep.java:22)
at org.gradle.internal.execution.steps.SkipUpToDateStep.executeBecause(SkipUpToDateStep.java:110)
at org.gradle.internal.execution.steps.SkipUpToDateStep.lambda$execute$2(SkipUpToDateStep.java:56)
at org.gradle.internal.execution.steps.SkipUpToDateStep.execute(SkipUpToDateStep.java:56)
at org.gradle.internal.execution.steps.SkipUpToDateStep.execute(SkipUpToDateStep.java:38)
at org.gradle.internal.execution.steps.ResolveChangesStep.execute(ResolveChangesStep.java:73)
at org.gradle.internal.execution.steps.ResolveChangesStep.execute(ResolveChangesStep.java:44)
at org.gradle.internal.execution.steps.legacy.MarkSnapshottingInputsFinishedStep.execute(MarkSnapshottingInputsFinishedStep.java:37)
at org.gradle.internal.execution.steps.legacy.MarkSnapshottingInputsFinishedStep.execute(MarkSnapshottingInputsFinishedStep.java:27)
at org.gradle.internal.execution.steps.ResolveCachingStateStep.execute(ResolveCachingStateStep.java:89)
at org.gradle.internal.execution.steps.ResolveCachingStateStep.execute(ResolveCachingStateStep.java:50)
at org.gradle.internal.execution.steps.ValidateStep.execute(ValidateStep.java:102)
at org.gradle.internal.execution.steps.ValidateStep.execute(ValidateStep.java:57)
at org.gradle.internal.execution.steps.CaptureStateBeforeExecutionStep.execute(CaptureStateBeforeExecutionStep.java:76)
at org.gradle.internal.execution.steps.CaptureStateBeforeExecutionStep.execute(CaptureStateBeforeExecutionStep.java:50)
at org.gradle.internal.execution.steps.SkipEmptyWorkStep.executeWithNoEmptySources(SkipEmptyWorkStep.java:254)
at org.gradle.internal.execution.steps.SkipEmptyWorkStep.executeWithNoEmptySources(SkipEmptyWorkStep.java:209)
at org.gradle.internal.execution.steps.SkipEmptyWorkStep.execute(SkipEmptyWorkStep.java:88)
at org.gradle.internal.execution.steps.SkipEmptyWorkStep.execute(SkipEmptyWorkStep.java:56)
at org.gradle.internal.execution.steps.RemoveUntrackedExecutionStateStep.execute(RemoveUntrackedExecutionStateStep.java:32)
at org.gradle.internal.execution.steps.RemoveUntrackedExecutionStateStep.execute(RemoveUntrackedExecutionStateStep.java:21)
at org.gradle.internal.execution.steps.legacy.MarkSnapshottingInputsStartedStep.execute(MarkSnapshottingInputsStartedStep.java:38)
at org.gradle.internal.execution.steps.LoadPreviousExecutionStateStep.execute(LoadPreviousExecutionStateStep.java:43)
at org.gradle.internal.execution.steps.LoadPreviousExecutionStateStep.execute(LoadPreviousExecutionStateStep.java:31)
at org.gradle.internal.execution.steps.AssignWorkspaceStep.lambda$execute$0(AssignWorkspaceStep.java:40)
at org.gradle.api.internal.tasks.execution.TaskExecution$4.withWorkspace(TaskExecution.java:281)
at org.gradle.internal.execution.steps.AssignWorkspaceStep.execute(AssignWorkspaceStep.java:40)
at org.gradle.internal.execution.steps.AssignWorkspaceStep.execute(AssignWorkspaceStep.java:30)
at org.gradle.internal.execution.steps.IdentityCacheStep.execute(IdentityCacheStep.java:37)
at org.gradle.internal.execution.steps.IdentityCacheStep.execute(IdentityCacheStep.java:27)
at org.gradle.internal.execution.steps.IdentifyStep.execute(IdentifyStep.java:44)
at org.gradle.internal.execution.steps.IdentifyStep.execute(IdentifyStep.java:33)
at org.gradle.internal.execution.impl.DefaultExecutionEngine$1.execute(DefaultExecutionEngine.java:76)
at org.gradle.api.internal.tasks.execution.ExecuteActionsTaskExecuter.executeIfValid(ExecuteActionsTaskExecuter.java:139)
at org.gradle.api.internal.tasks.execution.ExecuteActionsTaskExecuter.execute(ExecuteActionsTaskExecuter.java:128)
at org.gradle.api.internal.tasks.execution.CleanupStaleOutputsExecuter.execute(CleanupStaleOutputsExecuter.java:77)
at org.gradle.api.internal.tasks.execution.FinalizePropertiesTaskExecuter.execute(FinalizePropertiesTaskExecuter.java:46)
at org.gradle.api.internal.tasks.execution.ResolveTaskExecutionModeExecuter.execute(ResolveTaskExecutionModeExecuter.java:51)
at org.gradle.api.internal.tasks.execution.SkipTaskWithNoActionsExecuter.execute(SkipTaskWithNoActionsExecuter.java:57)
at org.gradle.api.internal.tasks.execution.SkipOnlyIfTaskExecuter.execute(SkipOnlyIfTaskExecuter.java:57)
at org.gradle.api.internal.tasks.execution.CatchExceptionTaskExecuter.execute(CatchExceptionTaskExecuter.java:36)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter$1.executeTask(EventFiringTaskExecuter.java:77)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter$1.call(EventFiringTaskExecuter.java:55)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter$1.call(EventFiringTaskExecuter.java:52)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:204)
at org.gradle.internal.operations.DefaultBuildOperationRunner$CallableBuildOperationWorker.execute(DefaultBuildOperationRunner.java:199)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:66)
at org.gradle.internal.operations.DefaultBuildOperationRunner$2.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:157)
at org.gradle.internal.operations.DefaultBuildOperationRunner.execute(DefaultBuildOperationRunner.java:59)
at org.gradle.internal.operations.DefaultBuildOperationRunner.call(DefaultBuildOperationRunner.java:53)
at org.gradle.internal.operations.DefaultBuildOperationExecutor.call(DefaultBuildOperationExecutor.java:73)
at org.gradle.api.internal.tasks.execution.EventFiringTaskExecuter.execute(EventFiringTaskExecuter.java:52)
at org.gradle.execution.plan.LocalTaskNodeExecutor.execute(LocalTaskNodeExecutor.java:69)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$InvokeNodeExecutorsAction.execute(DefaultTaskExecutionGraph.java:322)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$InvokeNodeExecutorsAction.execute(DefaultTaskExecutionGraph.java:309)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$BuildOperationAwareExecutionAction.execute(DefaultTaskExecutionGraph.java:302)
at org.gradle.execution.taskgraph.DefaultTaskExecutionGraph$BuildOperationAwareExecutionAction.execute(DefaultTaskExecutionGraph.java:288)
at org.gradle.execution.plan.DefaultPlanExecutor$ExecutorWorker.execute(DefaultPlanExecutor.java:462)
at org.gradle.execution.plan.DefaultPlanExecutor$ExecutorWorker.run(DefaultPlanExecutor.java:379)
at org.gradle.internal.concurrent.ExecutorPolicy$CatchAndRecordFailures.onExecute(ExecutorPolicy.java:64)
at org.gradle.internal.concurrent.ManagedExecutorImpl$1.run(ManagedExecutorImpl.java:49)
Caused by: java.lang.ExceptionInInitializerError
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:77)
at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.base/jdk.internal.reflect.ReflectionFactory.newInstance(ReflectionFactory.java:347)
at lombok.core.AnnotationProcessor$JavacDescriptor.want(AnnotationProcessor.java:119)
at lombok.core.AnnotationProcessor.init(AnnotationProcessor.java:181)
at lombok.launch.AnnotationProcessorHider$AnnotationProcessor.init(AnnotationProcessor.java:73)
at org.gradle.api.internal.tasks.compile.processing.DelegatingProcessor.init(DelegatingProcessor.java:57)
at org.gradle.api.internal.tasks.compile.processing.IsolatingProcessor.init(IsolatingProcessor.java:44)
at org.gradle.api.internal.tasks.compile.processing.DelegatingProcessor.init(DelegatingProcessor.java:57)
at org.gradle.api.internal.tasks.compile.processing.TimeTrackingProcessor.access$301(TimeTrackingProcessor.java:37)
at org.gradle.api.internal.tasks.compile.processing.TimeTrackingProcessor$4.create(TimeTrackingProcessor.java:88)
at org.gradle.api.internal.tasks.compile.processing.TimeTrackingProcessor$4.create(TimeTrackingProcessor.java:85)
at org.gradle.api.internal.tasks.compile.processing.TimeTrackingProcessor.track(TimeTrackingProcessor.java:117)
at org.gradle.api.internal.tasks.compile.processing.TimeTrackingProcessor.init(TimeTrackingProcessor.java:85)
at jdk.compiler/com.sun.tools.javac.processing.JavacProcessingEnvironment$ProcessorState.<init>(JavacProcessingEnvironment.java:701)
at jdk.compiler/com.sun.tools.javac.processing.JavacProcessingEnvironment$DiscoveredProcessors$ProcessorStateIterator.next(JavacProcessingEnvironment.java:828)
at jdk.compiler/com.sun.tools.javac.processing.JavacProcessingEnvironment.discoverAndRunProcs(JavacProcessingEnvironment.java:924)
at jdk.compiler/com.sun.tools.javac.processing.JavacProcessingEnvironment$Round.run(JavacProcessingEnvironment.java:1267)
at jdk.compiler/com.sun.tools.javac.processing.JavacProcessingEnvironment.doProcessing(JavacProcessingEnvironment.java:1382)
at jdk.compiler/com.sun.tools.javac.main.JavaCompiler.processAnnotations(JavaCompiler.java:1234)
at jdk.compiler/com.sun.tools.javac.main.JavaCompiler.compile(JavaCompiler.java:916)
at jdk.compiler/com.sun.tools.javac.api.JavacTaskImpl.lambda$doCall$0(JavacTaskImpl.java:104)
at jdk.compiler/com.sun.tools.javac.api.JavacTaskImpl.invocationHelper(JavacTaskImpl.java:152)
... 154 more
Caused by: java.lang.reflect.InaccessibleObjectException: Unable to make field private com.sun.tools.javac.processing.JavacProcessingEnvironment$DiscoveredProcessors com.sun.tools.javac.processing.JavacProcessingEnvironment.discoveredProcs accessible: module jdk.compiler does not "opens com.sun.tools.javac.processing" to unnamed module @752a1653
at lombok.javac.apt.LombokProcessor.getFieldAccessor(LombokProcessor.java:116)
at lombok.javac.apt.LombokProcessor.<clinit>(LombokProcessor.java:108)
... 178 more
* Get more help at https://help.gradle.org
BUILD FAILED in 3s
10:25:28: Task execution finished ':classes --stacktrace'.
|
550bff8694a36ff7820337791b06c82f
|
{
"intermediate": 0.359750896692276,
"beginner": 0.4515404999256134,
"expert": 0.18870854377746582
}
|
32,715
|
import arcpy
import os
# 设置工作环境
arcpy.env.workspace = r"G:\\guanzhou_all\\test\\haizhu_result\\haizhu_backup\\centerline_30\\ArrayPoint_SPC_1117_removed"
# 获取所有shp文件列表
shp_files = arcpy.ListFeatureClasses("*.shp")
# 循环处理每个shp文件
for shp_file in shp_files:
# 构建shp文件的全路径
shp_path = os.path.join(arcpy.env.workspace, shp_file)
# 创建输出的shp文件路径
output_folder = os.path.join(arcpy.env.workspace, "output") # 输出文件夹
output_path = os.path.join(output_folder, shp_file)
# 如果输出文件夹不存在，创建它
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# 将shp文件创建为要素图层
arcpy.management.MakeFeatureLayer(shp_path, "temp_layer")
# 获取正方形的外接矩形范围
desc = arcpy.Describe(shp_path)
extent = desc.extent
# 计算中心坐标
center_x = (extent.XMax + extent.XMin) / 2
center_y = (extent.YMax + extent.YMin) / 2
# 构建中心 300m x 300m 的矩形范围
new_extent = arcpy.Extent(center_x - 150, center_y - 150, center_x + 150, center_y + 150)
# 使用Clip工具裁剪正方形图形
arcpy.analysis.Clip("temp_layer", new_extent, output_path)
# 删除临时要素图层
arcpy.management.Delete("temp_layer")
print("处理完成！")
|
0944df2fd3fc46cc8b57928044f87662
|
{
"intermediate": 0.2976895272731781,
"beginner": 0.4502500891685486,
"expert": 0.2520604133605957
}
|
32,716
|
// !НАЧАЛЬНОЕ состояние диапазона
const [range, setRange] = useState<ICategorySaleListShema[]>([
{
id: randomId(),
saleLimit: 0, //input граница
//input ставка
saleRate: "",
saleOutLimit: 0, //input под "границей"
//input под "ставкой"
saleOutRate: "",
},export interface categorySaleListShema extends responseDataShema {
data: ICategorySaleListShema[];
}
export interface ICategorySaleListShema {
id: number;
title: string;
date_create: string;
date_close: string;
goal_sale_fact: number;
goal_sale_pay: number;
agg_sale_fact: number;
agg_sale_pay: number;
goal_saleout_fact: number;
goal_saleout_pay: number;
agg_saleout_fact: number;
agg_saleout_pay: number;
range: [
{
id: number;
saleLimit: number; //input граница
saleRate: string; //input ставка
saleOutLimit: number; //input под "границей"
saleOutRate: string; //input под "ставкой"
},
];
} что не так Тип "{ id: number; saleLimit: number; saleRate: string; saleOutLimit: number; saleOutRate: string; }" не может быть назначен для типа "ICategorySaleListShema".
Объектный литерал может использовать только известные свойства. "saleLimit" не существует в типе "ICategorySaleListShema".ts(2322)
(property) saleLimit: number
|
56d46f682a1b79130c47f83151b26eb6
|
{
"intermediate": 0.4095555543899536,
"beginner": 0.3272016644477844,
"expert": 0.26324284076690674
}
|
32,717
|
what are inductors
|
7c714cb02f3442d534eb0daeda59a63f
|
{
"intermediate": 0.2920607626438141,
"beginner": 0.32829344272613525,
"expert": 0.37964582443237305
}
|
32,718
|
import numpy as np
def correlation(testimage, angrange, brange, sigma):
imgsize = testimage.shape
if len(imgsize) > 2:
testimage = np.dot(testimage, [0.299, 0.587, 0.114]) # Перевод в оттенки серого
xsize = imgsize[1]
ysize = imgsize[0]
subimage = testimage.astype(float)
medianint = np.median(testimage[testimage > 0])
angles = np.arange(angrange[0], angrange[3], angrange[1])
trans = np.arange(brange[0], brange[3], brange[1])
corrmap = np.zeros((len(angles), len(trans)))
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = trans[bind]
refline = reference_line_gen(xsize, ysize, theta, b, sigma)
temp = refline * subimage
temp2 = np.sum(temp)
temp3 = temp2 / medianint
corrmap[thetaind, bind] = temp3
return corrmap
import numpy as np
def reference_line_gen(xsize, ysize, theta, b, sigma):
Xmesh, Ymesh = np.meshgrid(np.arange(1, xsize+1), np.arange(1, ysize+1))
Xmesh = Xmesh - xsize / 2
Ymesh = Ymesh - ysize / 2
angle = (theta * np.pi) / 180
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distance = ((dist * dist) / (sigma * sigma))
result = np.exp(-distance)
return result
import numpy as np
def max_intensity_finding(correlation_map, dist_input=None):
if dist_input is not None:
distance_threshold = dist_input
else:
distance_threshold = 10
size_corr = correlation_map.shape
label_map = np.zeros(size_corr)
xgrid, ygrid = np.meshgrid(np.arange(1, size_corr[1] + 1), np.arange(1, size_corr[0] + 1))
for indx in range(size_corr[1]):
for indy in range(size_corr[0]):
dist = np.sqrt((xgrid - indx) ** 2 + (ygrid - indy) ** 2)
pixuseful = dist < distance_threshold
if correlation_map[indy, indx] >= np.max(correlation_map[pixuseful]):
label_map[indy, indx] = 1
label_map[correlation_map == 0] = 0
return label_map
def sub_window_analysis(correlation_map, dist_input):
imgsize = np.array(correlation_map.shape)
sgimgsize = imgsize.astype(np.float32)
sgsubimgsz = imgsize.astype(np.float32)
sgtestimage = imgsize.astype(np.float32)
sigma = imgsize.astype(np.float32)
if imgsize[0] % subimgsz[0] != 0 or imgsize[1] % subimgsz[1] != 0:
print('The subimage size does not match the whole image size')
return
angles = np.arange(angrange[0], angrange[1], angrange[2])
trans = np.arange(brange[0], brange[1], brange[2])
corr = np.zeros((len(angles), len(trans), imgsize[0] // subimgsz[0], imgsize[1] // subimgsz[1]))
xsize = sgimgsize[1]
ysize = sgimgsize[0]
Xmesh, Ymesh = np.meshgrid(np.arange(xsize), np.arange(ysize))
Xmesh = np.mod(Xmesh, subimgsz[1])
Ymesh = np.mod(Ymesh, subimgsz[0])
Xmesh = Xmesh - sgsubimgsz[1] / 2
Ymesh = Ymesh - sgsubimgsz[0] / 2
for thetaind in range(len(angles)):
for bind in range(len(trans)):
theta = angles[thetaind]
b = single(trans[bind])
angle = (theta * np.pi) / 180
dist = b - (Xmesh * np.sin(angle)) - (Ymesh * np.cos(angle))
distpw = (dist ** 2) / (sigma ** 2)
refline = np.exp(-distpw)
temp = refline * sgtestimage
temp2 = temp.reshape(subimgsz[0], imgsize[0] // subimgsz[0], subimgsz[1], imgsize[1] // subimgsz[1])
temp3 = np.sum(temp2, axis=1)
temp4 = np.squeeze(np.sum(temp3, axis=2))
corr[thetaind, bind, :, :] = temp4
corrsz = corr.shape
spcorr = corr.reshape(corrsz[0] * corrsz[2], corrsz[1] * corrsz[3])
colsubimgs = sgtestimage.reshape(subimgsz[0], imgsize[0] // subimgsz[0], subimgsz[1], imgsize[1] // subimgsz[1])
return spcorr, colsubimgs
# Загрузка изображения и предварительная обработка
image = cv2.imread("0.0/01.pgm", cv2.COLOR_BGR2GRAY)
image = cv2.GaussianBlur(image, (3, 3), 0)
# Параметры алгоритма
angrange = [0, 5, 45] # Диапазон углов
brange = [-10, 1, 10] # Диапазон сдвигов
sigma = 1.0 # Сигма для функции расстояния
# Вызов алгоритма
corr_map = correlation(image, angrange, brange, sigma)
label_map = max_intensity_finding(corr_map)
# Визуализация результатов
plt.imshow(corr_map)
plt.show()
plt.imshow(label_map)
plt.show()
ИСПРАВЬ ОшИБКУ:
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-133-d00ffd76c746> in <cell line: 129>()
127
128 # Вызов алгоритма
--> 129 corr_map = correlation(image, angrange, brange, sigma)
130 label_map = max_intensity_finding(corr_map)
131
<ipython-input-133-d00ffd76c746> in correlation(testimage, angrange, brange, sigma)
12
13 medianint = np.median(testimage[testimage > 0])
---> 14 angles = np.arange(angrange[0], angrange[3], angrange[1])
15 trans = np.arange(brange[0], brange[3], brange[1])
16 corrmap = np.zeros((len(angles), len(trans)))
IndexError: list index out of range
|
4c3704de42f5defa4e1424787be77e8b
|
{
"intermediate": 0.2810385823249817,
"beginner": 0.440016508102417,
"expert": 0.27894487977027893
}
|
32,719
|
how to bitwise work with string on js
|
2bce775f5ecd5833aa68da4e137aab19
|
{
"intermediate": 0.5535934567451477,
"beginner": 0.1460692137479782,
"expert": 0.3003373444080353
}
|
32,720
|
Derive a block-diagram for algorithms that implement: (i) a static form-finding solution by solving the equilibrium equations of a highly-symmetric structure, such as a tensegrity prism
|
80adc34d86a54578a4819fea0b71a444
|
{
"intermediate": 0.11798976361751556,
"beginner": 0.10201944410800934,
"expert": 0.7799907922744751
}
|
32,721
|
Write a python script that will open a JSON file and read the field 'id' from all of the json objects and saves them into a newline delimited file
|
904769e150a4b2f2518141773e199edf
|
{
"intermediate": 0.6523284316062927,
"beginner": 0.10649923235177994,
"expert": 0.24117232859134674
}
|
32,722
|
Lab 8 in java
The goal of the lab is to, again, read the file queue.txt into a Priority
Queue and output what is at the front of the Priority Queue after all
instructions have been followed.
The priority of ordering should be based on the number of vowels in
a word – the more vowels it has, the closer it should be to the front
of the priority queue. If two words have the same number of vowels,
the one which comes earlier in the dictionary should be closer to the
front of the Priority Queue
|
f516e10133b65d08eff11b9a91b6a2e3
|
{
"intermediate": 0.42397111654281616,
"beginner": 0.14187027513980865,
"expert": 0.434158593416214
}
|
32,723
|
in java give me code that takes in queues from a file on my pc. the queue looks like this “INSERT class
INSERT bowling
REMOVE
INSERT far
REMOVE
REMOVE
INSERT glasgow
INSERT horse
REMOVE
REMOVE
REMOVE
INSERT advisors” then put everything in the final queue print out how the final queue
|
db7dd97fa7e317fd0702c3a610d8f703
|
{
"intermediate": 0.5109971165657043,
"beginner": 0.3338601887226105,
"expert": 0.15514270961284637
}
|
32,724
|
#include <iostream>
class Int17Matrix3D {
public:
Int17Matrix3D(int x, int y, int z) : width_(x), height_(y), depth_(z) {
arr_ = new int32_t[kNumLenght_ * x * y * z];
std::memset(arr_, 0, kNumLenght_ * x * y * z * sizeof(int32_t));
}
~Int17Matrix3D() {
delete[] arr_;
}
Int17Matrix3D(const Int17Matrix3D& other) : width_(other.width_), height_(other.height_), depth_(other.depth_) {
arr_ = new int32_t[kNumLenght_ * width_ * height_ * depth_];
std::memcpy(arr_, other.arr_, kNumLenght_ * width_ * height_ * depth_ * sizeof(int32_t));
}
Int17Matrix3D& operator=(const Int17Matrix3D& other);
static Int17Matrix3D make_array(int x, int y, int z);
Int17Matrix3D& operator()(int x, int y, int z);
int32_t operator()(int x, int y, int z) const;
void SetElement(int x, int y, int z, int32_t value);
Int17Matrix3D& operator=(int32_t value);
private:
const int8_t kNumLenght_ = 17;
int32_t current_index_;
int32_t width_;
int32_t height_;
int32_t depth_;
int32_t* arr_;
bool TakeBit(const int32_t* value, uint32_t bit_position) const;
Int17Matrix3D& ClearBit(int32_t* value, int32_t bit_position);
Int17Matrix3D& SetBit(int32_t* value, int32_t bit_position);
int GetIndex(int x, int y, int z) const;
int32_t ToDec(const int32_t* arr_, int32_t current_index_) const;
friend Int17Matrix3D operator+(const Int17Matrix3D& lhs, const Int17Matrix3D& rhs);
friend Int17Matrix3D operator-(const Int17Matrix3D& lhs, const Int17Matrix3D& rhs);
friend Int17Matrix3D operator*(const Int17Matrix3D& lhs, const int32_t& rhs);
friend std::ostream& operator<<(std::ostream& stream, const Int17Matrix3D& array);
};
Int17Matrix3D operator+(const Int17Matrix3D& lhs, const Int17Matrix3D& rhs);
Int17Matrix3D operator-(const Int17Matrix3D& lhs, const Int17Matrix3D& rhs);
Int17Matrix3D operator*(const Int17Matrix3D& lhs, const int32_t& rhs);
std::ostream& operator<<(std::ostream& stream, const Int17Matrix3D& array);
#include <iostream>
#include "Int17Matrix3D.h"
Int17Matrix3D& Int17Matrix3D::operator=(const Int17Matrix3D& other) {
if (this != &other) {
delete[] arr_;
width_ = other.width_;
height_ = other.height_;
depth_ = other.depth_;
arr_ = new int32_t[kNumLenght_ * width_ * height_ * depth_];
std::memcpy(arr_, other.arr_, kNumLenght_ * width_ * height_ * depth_ * sizeof(int32_t));
}
return *this;
}
Int17Matrix3D make_array(int x, int y, int z) {
return Int17Matrix3D(x, y, z);
}
Int17Matrix3D& Int17Matrix3D::operator()(int x, int y, int z) {
current_index_ = GetIndex(x, y, z);
return *this;
}
int32_t Int17Matrix3D::operator()(int x, int y, int z) const {
int index = GetIndex(x, y, z);
return ToDec(arr_, index);
}
void Int17Matrix3D::SetElement(int x, int y, int z, int32_t value) {
current_index_ = GetIndex(x, y, z);
(*this) = value;
}
Int17Matrix3D& Int17Matrix3D::operator=(int32_t value) {
int first_bit_index = current_index_ * kNumLenght_;
for (int bit = 0; bit < kNumLenght_; ++bit) {
if (value & (1u << bit)) {
SetBit(arr_, first_bit_index + bit);
} else {
ClearBit(arr_, first_bit_index + bit);
}
}
return *this;
}
bool Int17Matrix3D::TakeBit(const int32_t* value, uint32_t bit_position) const {
int array_index = bit_position / 32;
int bit_index = bit_position % 32;
return ((value[array_index] >> bit_index) & 1) != 0;
}
Int17Matrix3D& Int17Matrix3D::ClearBit(int32_t* value, int32_t bit_position) {
value[bit_position / 32] &= ~(1 << (bit_position % 32));
return *this;
}
Int17Matrix3D& Int17Matrix3D::SetBit(int32_t* value, int32_t bit_position) {
value[bit_position / 32] |= (1 << (bit_position % 32));
return *this;
}
int Int17Matrix3D::GetIndex(int x, int y, int z) const {
return x + y * (width_ * kNumLenght_) + z * (width_ * height_ * kNumLenght_);
}
int32_t Int17Matrix3D::ToDec(const int32_t* arr_, int32_t current_index_) const {
int first_bit_index = current_index_ * kNumLenght_;
int32_t decimal_value = 0;
int32_t exp = 1;
for (int i = 0; i < kNumLenght_; ++i) {
if (TakeBit(arr_, first_bit_index + i)) {
decimal_value += exp;
}
exp *= 2;
}
return decimal_value;
}
Int17Matrix3D operator+(const Int17Matrix3D& lhs, const Int17Matrix3D& rhs) {
Int17Matrix3D result(lhs.width_, lhs.height_, lhs.depth_);
for (int z = 0; z < lhs.depth_; ++z) {
for (int y = 0; y < lhs.height_; ++y) {
for (int x = 0; x < lhs.width_; ++x) {
int index = lhs.GetIndex(x, y, z);
int val_lhs = lhs.ToDec(lhs.arr_, index);
int val_rhs = rhs.ToDec(rhs.arr_, index);
result(x, y, z) = val_lhs + val_rhs;
}
}
}
return result;
}
Int17Matrix3D operator-(const Int17Matrix3D& lhs, const Int17Matrix3D& rhs) {
Int17Matrix3D result(lhs.width_, lhs.height_, lhs.depth_);
for (int z = 0; z < lhs.depth_; ++z) {
for (int y = 0; y < lhs.height_; ++y) {
for (int x = 0; x < lhs.width_; ++x) {
int index = lhs.GetIndex(x, y, z);
int val_lhs = lhs.ToDec(lhs.arr_, index);
int val_rhs = rhs.ToDec(rhs.arr_, index);
result(x, y, z) = val_lhs - val_rhs;
}
}
}
return result;
}
Int17Matrix3D operator*(const Int17Matrix3D& lhs, const int32_t& rhs) {
Int17Matrix3D result(lhs.width_, lhs.height_, lhs.depth_);
for (int z = 0; z < lhs.depth_; ++z) {
for (int y = 0; y < lhs.height_; ++y) {
for (int x = 0; x < lhs.width_; ++x) {
int index = lhs.GetIndex(x, y, z);
int val_lhs = lhs.ToDec(lhs.arr_, index);
result(x, y, z) = val_lhs * rhs;
}
}
}
return result;
}
std::ostream& operator<<(std::ostream& stream, const Int17Matrix3D& array) {
int32_t decimal_value = array.ToDec(array.arr_, array.current_index_);
stream << decimal_value;
return stream;
}
#include <gtest/gtest.h>
#include <lib/Int17Matrix3D.h>
// Test constructor
TEST(Int17Matrix3DTest, Constructor) {
Int17Matrix3D matrix(2, 2, 2);
ASSERT_NO_THROW();
}
// Test copy constructor
TEST(Int17Matrix3DTest, CopyConstructor) {
Int17Matrix3D original(1, 2, 3);
Int17Matrix3D copy = original;
ASSERT_NO_THROW();
}
// Test assignment operator
TEST(Int17Matrix3DTest, AssignmentOperator) {
Int17Matrix3D matrix1(1, 2, 3);
Int17Matrix3D matrix2(2, 2, 2);
matrix2 = matrix1;
ASSERT_NO_THROW();
}
// Test operator()
TEST(Int17Matrix3DTest, ParenthesesOperator) {
Int17Matrix3D matrix(3, 3, 3);
matrix(1, 1, 1) = 5; // Assuming values are stored as int17.
ASSERT_EQ(matrix(1, 1, 1), 5);
}
// Test addition
TEST(Int17Matrix3DTest, Addition) {
Int17Matrix3D matrix1(1, 1, 1);
Int17Matrix3D matrix2(1, 1, 1);
matrix1(0, 0, 0) = 1;
matrix2(0, 0, 0) = 2;
Int17Matrix3D matrix3 = matrix1 + matrix2;
ASSERT_EQ(matrix3(0, 0, 0), 3);
}
// Test substraction
TEST(Int17Matrix3DTest, substraction) {
Int17Matrix3D matrix1(1, 1, 1);
Int17Matrix3D matrix2(1, 1, 1);
matrix1(0, 0, 0) = 1;
matrix2(0, 0, 0) = 2;
Int17Matrix3D matrix3 = matrix2 - matrix1;
ASSERT_EQ(matrix3(0, 0, 0), 1);
}
// Test multiplication
TEST(Int17Matrix3DTest, multiplication) {
Int17Matrix3D matrix1(1, 1, 1);
Int17Matrix3D matrix2(1, 1, 1);
matrix1(0, 0, 0) = 3;
int mult = 2;
Int17Matrix3D matrix3 = matrix1 * mult;
ASSERT_EQ(matrix3(0, 0, 0), 6);
}
[ 64%] Building CXX object tests/CMakeFiles/Int17Matrix3D_test.dir/Int17Matrix3D_test.cpp.o
In file included from /Users/alex/labwork5-SPLOIT47/tests/Int17Matrix3D_test.cpp:1:
/Users/alex/labwork5-SPLOIT47/build/_deps/googletest-src/googletest/include/gtest/gtest.h:1358:11: error: invalid operands to binary expression ('const Int17Matrix3D' and 'const int')
if (lhs == rhs) {
~~~ ^ ~~~
/Users/alex/labwork5-SPLOIT47/build/_deps/googletest-src/googletest/include/gtest/gtest.h:1377:12: note: in instantiation of function template specialization 'testing::internal::CmpHelperEQ<Int17Matrix3D, int>' requested here
return CmpHelperEQ(lhs_expression, rhs_expression, lhs, rhs);
^
/Users/alex/labwork5-SPLOIT47/tests/Int17Matrix3D_test.cpp:29:3: note: in instantiation of function template specialization 'testing::internal::EqHelper::Compare<Int17Matrix3D, int, nullptr>' requested here
ASSERT_EQ(matrix(1, 1, 1), 5);
^
/Users/alex/labwork5-SPLOIT47/build/_deps/googletest-src/googletest/include/gtest/gtest.h:1877:31: note: expanded from macro 'ASSERT_EQ'
#define ASSERT_EQ(val1, val2) GTEST_ASSERT_EQ(val1, val2)
^
/Users/alex/labwork5-SPLOIT47/build/_deps/googletest-src/googletest/include/gtest/gtest.h:1861:54: note: expanded from macro 'GTEST_ASSERT_EQ'
ASSERT_PRED_FORMAT2(::testing::internal::EqHelper::Compare, val1, val2)
^
/Users/alex/labwork5-SPLOIT47/build/_deps/googletest-src/googletest/include/gtest/gtest.h:1350:13: note: candidate function not viable: no known conversion from 'const Int17Matrix3D' to 'testing::internal::faketype' for 1st argument
inline bool operator==(faketype, faketype) { return true; }
^
1 error generated.
make[2]: *** [tests/CMakeFiles/Int17Matrix3D_test.dir/Int17Matrix3D_test.cpp.o] Error 1
make[1]: *** [tests/CMakeFiles/Int17Matrix3D_test.dir/all] Error 2
make: *** [all] Error 2
fix it
|
5ac04c80b09f9f12d7609dce0945202d
|
{
"intermediate": 0.28561022877693176,
"beginner": 0.4495249092578888,
"expert": 0.26486483216285706
}
|
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