row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
13,362
|
import {
init,
dispose,
Chart,
IndicatorFigureStylesCallbackData,
Indicator,
IndicatorStyle,
KLineData,
utils,
ActionType,
} from "klinecharts";
"klinecharts": "^9.5.0",
https://klinecharts.com/en-US/guide/instance-api.html
https://klinecharts.com/en-US/guide/chart-api.html
в этой библиотеке можно рисовать фигуры
1. Возможно ли сделать сохранение этих фигур? Чтобы при закрытии и новом открытии эти фигуры были отрисованы.
Может запомнить состояние графика с фигурами, или состояние самих фигур?
|
15d55fef796970108935f940018351c1
|
{
"intermediate": 0.4621506929397583,
"beginner": 0.37894490361213684,
"expert": 0.15890441834926605
}
|
13,363
|
hello
|
17a8414185bd2300c1376315d99871c6
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
13,364
|
Hello. I have an error in my react native code. Here is my app.js file: import React from 'react';
import { NavigationContainer } from '@react-navigation/native';
import { createStackNavigator } from '@react-navigation/stack';
import WelcomeScreen from './screens/WelcomeScreen';
import SignUpScreen from './screens/SignUpScreen';
import LoginScreen from './screens/LoginScreen';
import HomeScreen from './screens/HomeScreen'; // Import the new screen
const Stack = createStackNavigator();
const App = () => {
return (
<NavigationContainer>
<Stack.Navigator screenOptions={{ headerShown: false }}>
<Stack.Screen name="Welcome" component={WelcomeScreen} />
<Stack.Screen name="SignUp" component={SignUpScreen} />
<Stack.Screen name="Login" component={LoginScreen} />
<Stack.Screen name="Home" component={HomeScreen} />
</Stack.Navigator>
<BottomNavigation />
</NavigationContainer>
);
};
export default App;
Here is my Bottomnavigation.js file: import React from 'react';
import { createBottomTabNavigator } from '@react-navigation/bottom-tabs';
import { Ionicons } from '@expo/vector-icons';
import HomeScreen from '../screens/HomeScreen';
import ProfileScreen from '../screens/ProfileScreen';
import SettingsScreen from '../screens/SettingsScreen';
const Tab = createBottomTabNavigator();
const BottomNavigation = () => {
return (
<Tab.Navigator
screenOptions={({ route }) => ({
tabBarIcon: ({ color, size }) => {
let iconName;
if (route.name === 'Home') {
iconName = 'home-outline';
} else if (route.name === 'Profile') {
iconName = 'person-outline';
} else if (route.name === 'Settings') {
iconName = 'settings-outline';
}
return <Ionicons name={iconName} size={size} color={color} />;
},
})}
>
<Tab.Screen name="Home" component={HomeScreen} />
<Tab.Screen name="Profile" component={ProfileScreen} />
<Tab.Screen name="Settings" component={SettingsScreen} />
</Tab.Navigator>
);
};
export default BottomNavigation;
here is my homescreen.js file: import React from 'react';
import { View, Text } from 'react-native';
import { createBottomTabNavigator } from '@react-navigation/bottom-tabs';
const Tab = createBottomTabNavigator();
const HomeScreen = () => {
return (
<Tab.Navigator>
<Tab.Screen name="Tab1" component={Screen1} />
<Tab.Screen name="Tab2" component={Screen2} />
<Tab.Screen name="Tab3" component={Screen3} />
</Tab.Navigator>
);
};
// Example screens for each tab
const Screen1 = () => <View><Text>Tab 1</Text></View>;
const Screen2 = () => <View><Text>Tab 2</Text></View>;
const Screen3 = () => <View><Text>Tab 3</Text></View>;
export default HomeScreen;
Here is my package.json file: {
"name": "wealthtrackr",
"version": "1.0.0",
"main": "node_modules/expo/AppEntry.js",
"scripts": {
"start": "expo start",
"android": "expo start --android",
"ios": "expo start --ios",
"web": "expo start --web"
},
"dependencies": {
"@react-navigation/bottom-tabs": "^6.5.8",
"@react-navigation/native": "^6.1.7",
"@react-navigation/stack": "^6.3.17",
"axios": "^1.4.0",
"expo": "~48.0.18",
"expo-status-bar": "~1.4.4",
"firebase": "^9.23.0",
"os": "^0.1.2",
"path": "^0.12.7",
"react": "^18.2.0",
"react-native": "^0.72.0",
"react-native-paper": "^5.8.0",
"react-native-swiper": "^1.6.0",
"react-native-vector-icons": "^9.2.0"
},
"devDependencies": {
"@babel/core": "^7.20.0"
},
"expo": {
"name": "wealthtrackr",
"slug": "wealthtrackr",
"extra": {
"API_KEY": "@env:REACT_APP_API_KEY",
"AUTH_DOMAIN": "@env:REACT_APP_AUTH_DOMAIN",
"PROJECT_ID": "@env:REACT_APP_PROJECT_ID"
}
},
"private": true
}
Here is my error: ReferenceError: Property 'BottomNavigation' doesn't exist
This error is located at:
in App (created by withDevTools(App))
in withDevTools(App)
in RCTView (created by View)
in View (created by AppContainer)
in RCTView (created by View)
in View (created by AppContainer)
in AppContainer
in main(RootComponent), js engine: hermes
at node_modules/react-native/Libraries/Core/ExceptionsManager.js:102:17 in reportException
at node_modules/react-native/Libraries/Core/ExceptionsManager.js:148:19 in handleException
- ... 27 more stack frames from framework internals
ReferenceError: Property 'BottomNavigation' doesn't exist
This error is located at:
in App (created by withDevTools(App))
in withDevTools(App)
in RCTView (created by View)
in View (created by AppContainer)
in RCTView (created by View)
in View (created by AppContainer)
in AppContainer
in main(RootComponent), js engine: hermes
at node_modules/react-native/Libraries/Core/ExceptionsManager.js:102:17 in reportException
at node_modules/react-native/Libraries/Core/ExceptionsManager.js:148:19 in handleException
- ... 7 more stack frames from framework internals
|
b025e9eff5cdece28b4e78d1982ace7f
|
{
"intermediate": 0.34815919399261475,
"beginner": 0.43257853388786316,
"expert": 0.21926233172416687
}
|
13,365
|
I am using a nextjs frontend, and a nestjs backend. Frontend it deployed on vercel and the backend on railway. When calling the backend endpoint from the frontend I'm getting a cors error
|
e8e5f903d0ce351e7d3df6ea29cdec8c
|
{
"intermediate": 0.5179489850997925,
"beginner": 0.2124996930360794,
"expert": 0.2695513367652893
}
|
13,366
|
Mohamed has two integers n,m. he wants to find the first non−negative
number that is less than n and divisible by m. if not found then you have to find the first number that bigger than |n|
and divisible by m. Input
Two integers n (−2∗109≤n≤2∗109)
, m (1≤m≤2∗109)
.
Output
READ THE STATEMENT
Examples
input
3 2
output
2
input
0 2
output
2
Note
|n| = n if n is positive and = -1 * n if n is negative. OM Mohammed Betsalem 3alykom :)
in C++
|
ddc434a04681f9194a4d02ac1df0e108
|
{
"intermediate": 0.3954472541809082,
"beginner": 0.37028253078460693,
"expert": 0.23427022993564606
}
|
13,367
|
can you create me one script using matrix-commander to listen encrypted message from one Matrix Room ?
|
3672f14fa9931aeeab0006afdde07f9d
|
{
"intermediate": 0.3744114935398102,
"beginner": 0.1279209852218628,
"expert": 0.4976675510406494
}
|
13,368
|
based the script https://github.com/8go/matrix-commander/blob/master/tests/test-send.py
Can you create me one script using matrix-commander to listen encrypted message from one Matrix Room ?
|
c7129f4aef5e6e045b565a1d4d2e7ad6
|
{
"intermediate": 0.48998427391052246,
"beginner": 0.20630991458892822,
"expert": 0.3037058413028717
}
|
13,369
|
Create one script using or calling matrix-commander.py to start a second Python3 script when I receive the message "GO" and stop the second with the reception of the message STOP
|
869b0eaffc5bd3f1e6fb864db8ad0728
|
{
"intermediate": 0.38013607263565063,
"beginner": 0.22883029282093048,
"expert": 0.39103370904922485
}
|
13,370
|
throw new MongooseError('The `uri` parameter to `openUri()` must be a ' +
^
MongooseError: The `uri` parameter to `openUri()` must be a string, got "undefined". Make sure the first parameter to `mongoose.connect()` or `mongoose.createConnection()` is a string.
|
eec7e1b86746a32a63568f73e6972fff
|
{
"intermediate": 0.5505980253219604,
"beginner": 0.26117730140686035,
"expert": 0.18822461366653442
}
|
13,371
|
export const CandleChart = ({
candles,
uniqueId,
symbolName,
orders,
amount,
openPrice,
closePrice,
onScreenshotCreated,
chartInterval,
setChartInterval,
waiting,
setWaiting,
height,
showIntervalSelector,
}: CandleChartProps) => {
const chart = useRef<Chart|null>(null);
const paneId = useRef<string>("");
const [figureId, setFigureId] = useState<string>("");
const precision = useSelector((state: AppState) => state.binancePrecision.futures[symbolName.toUpperCase()]);
const kline = useSelector((state: AppState) => state.binanceKline.futures[`${symbolName.toLocaleLowerCase()}@kline_${chartInterval}`]) || null;
useEffect(() => {
if (precision && null !== chart.current) {
chart.current.setPriceVolumePrecision(precision?.price || 4, precision?.quantity || 2);
}
}, [chart.current, precision]);
useEffect(() => {
if (kline && null !== chart.current) {
chart.current.updateData(kline);
}
}, [kline, chart.current]);
useEffect(() => {
// @ts-ignore
chart.current = init(`chart-${uniqueId}`, {styles: chartStyles(theme)});
return () => dispose(`chart-${uniqueId}`);
}, [uniqueId]);
useEffect(() => {
chart.current?.applyNewData(candles);
chart.current?.overrideIndicator({
name: "VOL",
shortName: "Объем",
calcParams: [],
figures: [
{
key: "volume",
title: "",
type: "bar",
baseValue: 0,
styles: (data: IndicatorFigureStylesCallbackData<Vol>, indicator: Indicator, defaultStyles: IndicatorStyle) => {
const kLineData = data.current.kLineData as KLineData;
let color: string;
if (kLineData.close > kLineData.open) {
color = utils.formatValue(indicator.styles, "bars[0].upColor", (defaultStyles.bars)[0].upColor) as string;
} else if (kLineData.close < kLineData.open) {
color = utils.formatValue(indicator.styles, "bars[0].downColor", (defaultStyles.bars)[0].downColor) as string;
} else {
color = utils.formatValue(indicator.styles, "bars[0].noChangeColor", (defaultStyles.bars)[0].noChangeColor) as string;
}
return {color};
},
},
],
}, paneId.current);
chart.current?.createIndicator("VOL", false, {id: paneId.current});
}, [candles]);
useEffect(() => {
if (!orders || orders.length === 0 || candles.length === 0 || !amount || amount.length === 0) return;
const minTime = orders[0].time;
const maxTime = orders[orders.length - 1].time;
const needleTime = minTime + (maxTime - minTime) / 2;
chart.current?.scrollToTimestamp(needleTime + 50 * getMinutesTickSizeByInterval(chartInterval) * 60 * 1000);
drawTrade(chart, paneId, orders, chartInterval, amount);
if (openPrice && closePrice) {
let openTime = Infinity;
let closeTime = -Infinity;
orders.forEach(order => {
if (openTime > order.time) {
openTime = order.time;
}
if (closeTime < order.time) {
closeTime = order.time;
}
});
drawTradeLines(
chart,
openPrice,
openTime,
closePrice,
closeTime,
orders[0].position,
paneId,
precision.price,
precision.quantity,
);
}
}, [orders, candles, uniqueId]);
const removeFigure = () => {
chart.current?.removeOverlay({
id: figureId,
});
setFigureId("");
};
return (<>
<Stack direction="row" height={height && !handle.active ? 550 : "100%" || "calc(100% - 140px)"} width="100%">
<CandleChartToolbar
setFigureId={setFigureId}
chart={chart}
paneId={paneId}
handle={handle}
/>
<Box
ref={ref}
id={`chart-${uniqueId}`}
width="calc(100% - 55px)"
height="100%"
sx={{borderLeft: theme => `2px solid ${theme.palette.grey[50]}`}}
>
{
figureId.length > 0 &&
<Stack
sx={{
backgroundColor: darkMode ? "#474747" : "#CBD4E3",
borderRadius: 1,
position: "absolute",
zIndex: 10,
right: 80,
top: 30,
border: theme => `2px solid ${theme.palette.grey[50]}`,
}}
spacing={2}
>
<IconButton sx={{borderRadius: 1}} onClick={removeFigure}>
<Icon component={BasketIcon} />
</IconButton>
</Stack>
}
</Box>
</Stack>
</>);
};
CandleChart.displayName = "CandleChart";
const CandleChartToolbar = ({chart, paneId, setFigureId,
: CandleChartToolbarProps) => {
const removeOverlay = () => {
chart.current?.removeOverlay();
setFigureId("");
};
return <>
<Stack
<PriceLineTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<HorizontalStraightLineTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<RayLineTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<SegmentTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<StraightLineTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<ParallelStraightLineTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<FibonacciLineTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<RulerTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<RectTool chart={chart} paneId={paneId} setFigureId={setFigureId}/>
<IconButton sx={{borderRadius: 2, "&:hover": {backgroundColor: darkMode ? "#2b2b2b !important" : ""}}} style={{height: 40}} onClick={fullScreenHandle}>
<Icon component={FullScreenIcon} sx={{height: 18}} />
</IconButton>
<IconButton sx={{borderRadius: 2, "&:hover": {backgroundColor: darkMode ? "#2b2b2b !important" : ""}}} onClick={removeOverlay}>
<Icon component={BasketIcon}/>
</IconButton>
</Stack>
</>;
};
export default CandleChartToolbar;
import {ToolProps} from "./Tool.props";
import {Icon, IconButton, useTheme} from "@mui/material";
import React from "react";
import {StraightLineIcon} from "../../../icons";
const StraightLineTool = ({chart, paneId, setFigureId}: ToolProps) => {
const darkMode = useTheme().palette.mode === "dark";
const onClickHandler = () => {
chart.current?.createOverlay({
name: "straightLine",
styles: {
line: {
color: darkMode ? "#fff" : "#1e293b",
},
rect: {
color: darkMode ? "#fff3" : "#1e293b5e",
},
point: {
color: darkMode ? "#fff" : "#1e293b",
borderColor: darkMode ? "#fff" : "#1e293b",
activeColor: darkMode ? "#fff" : "#1e293b",
activeBorderColor: darkMode ? "#fff3" : "#1e293bd1",
},
},
onSelected: function(event) {
setFigureId(event.overlay.id);
return false;
},
onDeselected: function() {
setFigureId("");
return false;
},
onDrawEnd: function(event) {
console.log(event);
return false;
},
});
};
return <>
<IconButton onClick={onClickHandler} sx={{borderRadius: 2, color: darkMode ? "#fff" : "#677294", "&:hover": {backgroundColor: darkMode ? "#2b2b2b !important" : ""}}}>
<Icon component={StraightLineIcon} />
</IconButton>
</>;
};
export default StraightLineTool;
1. Мы рисуем фигуры
2. Приведен один пример отрисвки фигуры StraightLineTool, остальные фигуры так же рисуются
3. в onDrawEnd при отрисовке приходят все данные о фигуре.
4. нужно сделать сохранение всех фигур в localStorage (Чтобы при перерисовки страницы, открытии графика потом, на нем отображались фигуры которые мы нарисовали.)
5. При отрисовке нужно доставать данные и рисовать эти фигуры.
5. Проанализируй весь код,
6. Напиши весь код, что и куда мне надо написать, функции, пропсы все пропиши, все-все напиши чтобы условие работало.
7. напиши мне полностью CandleChart и CandleChartToolbar и StraightLineTool
8. Обязательно должен быть typescript
|
f03b7e481b58298dfd1562e5bdf55c52
|
{
"intermediate": 0.33522239327430725,
"beginner": 0.49103429913520813,
"expert": 0.17374327778816223
}
|
13,372
|
With this reference https://github.com/8go/matrix-commander
Create one script using or calling matrix-commander.py to start a second Python3 script when I receive the message “GO” and stop the second with the reception of the message “STOP”
|
36b3ef983f759141249bc8d4de1ba728
|
{
"intermediate": 0.40668681263923645,
"beginner": 0.2789449095726013,
"expert": 0.3143683075904846
}
|
13,373
|
With this reference https://github.com/8go/matrix-commander
Create one script using or calling matrix-commander.py to start a second Python3 script when I receive the message “GO” and stop the second with the reception of the message “STOP”
|
929f1b3106c0cbc1440f9d81626f8171
|
{
"intermediate": 0.40668681263923645,
"beginner": 0.2789449095726013,
"expert": 0.3143683075904846
}
|
13,374
|
With this reference https://github.com/8go/matrix-commander.
Can you create me one script with matrix_commander to start a second Python3 script when I receive the message “GO” and stop the second with the reception of the message “STOP” from one Matrix Room.
To connect to the room we can use the file credentials.json.
|
eb308f3145cf720e657bc63f2c64e1d2
|
{
"intermediate": 0.4629688262939453,
"beginner": 0.17243824899196625,
"expert": 0.36459293961524963
}
|
13,375
|
With this reference https://github.com/8go/matrix-commander.
Can you create me one script with matrix_commander to start a second Python3 script when I receive the message “GO” and stop the second with the reception of the message “STOP” from one Matrix Room.
|
2663d33f652cba100fdc412b3de8d4b5
|
{
"intermediate": 0.48476502299308777,
"beginner": 0.14536549150943756,
"expert": 0.36986950039863586
}
|
13,376
|
Like in this script:
https://raw.githubusercontent.com/8go/matrix-commander/master/tests/test-send.py
can you create me a matrix_commander script to start a second script when i receive the message START ?
|
cce2148850407c3dabfff3e2f1418959
|
{
"intermediate": 0.4984651505947113,
"beginner": 0.2276623398065567,
"expert": 0.2738725244998932
}
|
13,377
|
import 'bootstrap-icons/font/bootstrap-icons.css';
import { useState, useEffect, useRef } from 'react';
import { Col, ListGroup, Button, Form, Accordion, Card, ButtonGroup } from 'react-bootstrap';
import { useNavigate } from 'react-router-dom';
import API from '../API';
import dayjs from 'dayjs';
import '../style.css';
//Can't get it from database because it is not saved.
//This number is used only for triggering the re-render of the content of the Forms of each block showed at video. (ex when handleUp or handleDown)
function generatelocalId() {
return Math.random().toString(36).substring(2) + Date.now().toString(36);
}
function BlockList(props) {
function headerBlock() {
this.blockType = "Header";
this.content = "";
}
function paragraphBlock() {
this.blockType = "Paragraph";
this.content = "";
}
function imageBlock() {
this.blockType = "Image";
this.content = "";
}
const addToList = (x) => {
props.setList((oldList) => [...oldList, x]);
};
return (
<>
<h5 style={{ textAlign: "center" }}>Components</h5>
<p></p>
<Card>
<ListGroup>
<ListGroup.Item >
Header
<Button className="float-end addbutton" variant="outline-success"
onClick={() => {
addToList(new headerBlock());
}}>
<i className="bi bi-plus"></i>
</Button>
</ListGroup.Item>
<ListGroup.Item >
Paragraph
<Button className="float-end addbutton" variant="outline-success"
onClick={() => {
addToList(new paragraphBlock());
}}>
<i className="bi bi-plus"></i>
</Button>
</ListGroup.Item>
<ListGroup.Item >
Image
<Button className="float-end addbutton" variant="outline-success"
onClick={() => {
addToList(new imageBlock());
}}>
<i className="bi bi-plus"></i>
</Button>
</ListGroup.Item>
</ListGroup>
</Card>
</>
);
}
function CreatePageBody(props) {
return (
<Accordion>
{props.list.map((x,i) => <MyBlock x={x} i={i} key={generatelocalId()} list={props.list} setList={props.setList} images={props.images} />)}
</Accordion>
);
}
function MyBlock(props) {
const x = props.x;
const images = props.images;
const [content, setContent] = useState(props.list[props.i].content);
const inputEl = useRef(null);
const removeFromList = (x) => {
props.setList((oldlist) => oldlist.filter((item) => item != x));
};
const handleUp = (x) => {
props.setList(oldList => {
const index = oldList.indexOf(x);
const newList = [...oldList];
[newList[index - 1], newList[index]] = [newList[index], newList[index - 1]];
return newList;
});
};
const handleDown = (x) => {
props.setList(oldList => {
const index = oldList.indexOf(x);
const newList = [...oldList];
[newList[index], newList[index + 1]] = [newList[index + 1], newList[index]];
return newList;
});
};
const handlechange = (ev) => {
props.setList(oldList => {
const newList = [...oldList];
newList[props.i].content=ev.target.value;
return newList;
});
};
useEffect(() => {
inputEl.current?.focus();
}, [inputEl.current?.value]);
return (
<Accordion.Item eventKey={props.list.indexOf(x)}>
<Accordion.Header >
<div className="accordion-style">
{x.blockType}
<ButtonGroup style={{ paddingRight: "2%" }} >
{props.list.indexOf(x) != 0 && ( //button as div avoid nested buttons error validateDOMnesting - since accordion header is a button itself!
<Button as='div' style={{ fontSize: "0.8rem", padding: "0.25rem 0.5rem" }} variant="outline-secondary"
onClick={(ev) => { ev.stopPropagation(); handleUp(x) }}>
<i className="bi bi-arrow-up"></i>
</Button>)}
{props.list.indexOf(x) != (props.list.length - 1) && (
<Button as='div' style={{ fontSize: "0.8rem", padding: "0.25rem 0.5rem" }} variant="outline-secondary"
onClick={(ev) => { ev.stopPropagation(); handleDown(x) }}>
<i className="bi bi-arrow-down"></i>
</Button>)}
<Button as='div' size="sm" variant="outline-danger"
onClick={(ev) => { ev.stopPropagation(); removeFromList(x) }}>
<i className="bi bi-x-lg"></i>
</Button>
</ButtonGroup>
</div>
</Accordion.Header>
<Accordion.Body>
{x.blockType != "Image" ? (
<Form.Control as="textarea" ref={inputEl} onFocus={(e)=>e.currentTarget.setSelectionRange(e.currentTarget.value.length, e.currentTarget.value.length)} value={content} onChange={(ev) => { handlechange(ev) }}></Form.Control>
) : (
<div>
{images.map((image) => (
<label key={generatelocalId()} style={{ paddingRight: "20px" }}>
<input value={image.url} onChange={(ev) => { handlechange(ev); }} checked={x.content == image.url} type="radio" />
<img className="img-box" src={image.url} alt={image.alt} />
</label>
))}
</div>
)}
</Accordion.Body>
</Accordion.Item>
);
}
function ActionList(props) {
// Placed here because otherwise handleAction couldn't call navigate.
// Uncaught Error: Invalid hook call. Hooks can only be called inside of the body of a function component.
const navigate = useNavigate();
const [date, setDate] = useState(""); // Used to publish programmed pages
const list = props.list;
const title = props.title;
return (
<Col className="pt-4">
<Button variant="warning" style={{ marginBottom: "2%", width: "100%" }} onClick={() => handleAction("draft")}>Save as Draft</Button>
<Button variant="success" style={{ marginBottom: "10%", width: "100%" }} onClick={() => handleAction("publish")}>Publish</Button>
<Form.Control type="date" name="date" value={date} onChange={(ev) => setDate(ev.target.value)} />
<Button variant="secondary" style={{ marginTop: "2%", width: "100%" }} onClick={() => handleAction("programmed")}>Schedule Publication</Button>
</Col>
);
function handleAction(action) {
let valid = true;
let data = {};
if (title.trim() == "") {
valid = false;
props.handleError("You have to choose a title for the page.");
}
else if (!(list.some(item => item.blockType == 'Header')) ||
(!(list.some(item => item.blockType == 'Paragraph') || list.some(item => item.blockType == 'Image')))
) {
valid = false;
props.handleError("You have to insert at least a Header and a Paragraph/Image.");
}
else if (list.some(item => (item.content.trim() == ""))) {
valid = false;
props.handleError("At least one block without content!");
}
if (valid) {
data = { // Data formatted. Ready to send it to the server for Page Creation.
title: title,
blocks: JSON.stringify(list) // Saved directly as json in db
};
switch (action) {
case "draft":
Object.assign(data, { publishDate: null });
break;
case "publish":
Object.assign(data, { publishDate: dayjs().format("YYYY-MM-DD") });
break;
case "programmed":
const Date = dayjs(date);
if (!Date.isValid() || Date.isBefore(dayjs())) { //dayjs() returns today date
props.handleError("Select a valid date.");
return;
}
Object.assign(data, { publishDate: Date.format("YYYY-MM-DD") });
break;
default:
break;
}
API.createPage(data)
.then(() => {
navigate("/backoffice")
})
.catch((err) => props.handleError(err));
}
}
}
function Title(props) {
return (
<Form.Control type="text" name="text" value={props.title} placeholder="Page Title" onChange={ev => props.setTitle(ev.target.value)} />
);
}
export { Title, ActionList, BlockList, CreatePageBody, MyBlock };
When I write one character in the title form then it will change focus to the form of an open accordion
|
709b4e2293a127e8e7e573667dbc52fb
|
{
"intermediate": 0.40751445293426514,
"beginner": 0.45469725131988525,
"expert": 0.137788325548172
}
|
13,378
|
Like in this script:
https://raw.githubusercontent.com/8go/matrix-commander/master/tests/test-send.py
can you create me a matrix_commander script to start a second script when i receive the message START ?
|
6fe277d8d672f55f42426df4cef5c8c6
|
{
"intermediate": 0.4984651505947113,
"beginner": 0.2276623398065567,
"expert": 0.2738725244998932
}
|
13,379
|
Whitelabel Error Page. Find and fix this.
This application has no explicit mapping for /error, so you are seeing this as a fallback.
There was an unexpected error (type=Internal Server Error, status=500).
File UserController:
import net.crud.springbootcrud.model.User;
import net.crud.springbootcrud.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.ui.Model;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import java.util.List;
@Controller
public class UserController {
private final UserService userService;
public UserController(UserService userService) {
this.userService = userService;
}
@GetMapping(“/users”)
public String findAll(Model model){
List<User> users = userService.findAll();
model.addAttribute(“users”,users);
return “user-list”;
}
@GetMapping(“/user-create”)
public String createUserForm(User user){
return “user-create”;
}
@PostMapping(“/user-create”)
public String createUser(User user){
userService.saveUser(user);
return “redirect:/users”;
}
File UserService:
import net.crud.springbootcrud.model.User;
import net.crud.springbootcrud.repository.UserRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.List;
import java.util.Optional;
@Service
public class UserService {
private final UserRepository userRepository;
public UserService(UserRepository userRepository) {
this.userRepository = userRepository;
}
public User findById(Long id){
Optional<User> userOptional = userRepository.findById(id);
if(userOptional.isPresent()){
return userOptional.get();
}
throw new IllegalArgumentException(“User with id " + id + " doesn’t exist”);
}
public List<User> findAll(){
return userRepository.findAll();
}
public User saveUser(User user){
if(user.getUsername() == null || user.getUsername().isEmpty()){
throw new IllegalArgumentException(“Username can not be empty”);
}
return userRepository.save(user);
}
public void deleteById(Long id){
Optional<User> userOptional = userRepository.findById(id);
if(userOptional.isPresent()){
userRepository.deleteById(id);
}
else{
throw new IllegalArgumentException(“User with id " + id + " doesn’t exist”);
}
}
}
File springbootcrudApllictation:
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class SpringbootcrudApplication {
public static void main(String[] args) {
SpringApplication.run(SpringbootcrudApplication.class, args);
}
Interface UserRepository:
import net.crud.springbootcrud.model.User;
import org.springframework.data.jpa.repository.JpaRepository;
public interface UserRepository extends JpaRepository<User, Long> {
File application.properties:spring.datasource.url=jdbc:mysql://localhost:3306/springbootcrud
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.username=root
spring.datasource.password=7788
server.port=8050
|
5a481d60644e32686e7177b4cc6f0205
|
{
"intermediate": 0.31270766258239746,
"beginner": 0.4418395161628723,
"expert": 0.24545276165008545
}
|
13,380
|
Can you adapt me the next script to start the script "test.py" when I receive the message "GO" from Matrix Room ?
#!/usr/bin/python3
r"""test-send.py.
This is a simple test program.
Furthermore it is an example program demonstrating how 'matrix-commander'
can be called from a Python program.
"""
# isort: skip_file
# isort: off
from datetime import datetime
import sys
import os
# print(f"Default path is: {sys.path}")
# importing matrix_commander module
try:
# if installed via pip
import matrix_commander # nopep8 # isort: skip
from matrix_commander import (
main,
) # nopep8 # isort: skip
except:
# if not installed via pip. if installed via 'git clone' or file download
# appending a local path to sys.path
sys.path.append("./matrix_commander")
sys.path.append("../matrix_commander")
# print(f"Expanded path is: {sys.path}")
import matrix_commander # nopep8 # isort: skip
from matrix_commander import (
main,
) # nopep8 # isort: skip
now = datetime.now().strftime("%Y%m%d-%H%M%S")
# to make test self-contained, create the test file here inside Python
TESTFILE = "test.txt"
with open(TESTFILE, "w") as f:
f.write("content of test.txt")
# set up some test arguments
print(f"Running test program: {sys.argv[0]}")
print(f"Current working directory is: {os.getcwd()}")
print(f"Path is: {sys.path}")
print(f"Arguments that are passed on to matrix-commander are: {sys.argv[1:]}")
sys.argv[0] = "matrix-commander"
sys.argv.extend(["--version"])
sys.argv.extend(["--message", f"Hello World @ {now}!"])
sys.argv.extend(["--file", TESTFILE])
sys.argv.extend(["--print-event-id"])
# sys.argv.extend(["--debug"])
# Github Action Workflow differs from local test as Github Action env
# pipes a "" into the input of the program.
print(f"Testing with these arguments: {sys.argv}")
try:
ret = matrix_commander.main()
if ret == 0:
print("matrix_commander finished successfully.")
else:
print(
f"matrix_commander failed with {ret} error{'' if ret == 1 else 's'}."
)
except Exception as e:
print(f"Exception happened: {e}")
ret = 99
os.remove(TESTFILE)
exit(ret)
|
8dbadf4337b0bd976a4cc1c0a3cd9e9c
|
{
"intermediate": 0.4543364644050598,
"beginner": 0.45363137125968933,
"expert": 0.09203208237886429
}
|
13,381
|
Can you create a script to receive a message with matrix-commander ?
|
b372d8089e1ceb790e255efbe382582d
|
{
"intermediate": 0.44149693846702576,
"beginner": 0.11197186261415482,
"expert": 0.4465312063694
}
|
13,382
|
can you create me a script to start a second script when reveiving the message "GO" and stop when receiving the message "STOP" using https://github.com/8go/matrix-commander
|
196cbd940bb41cd3ca0f37ec0e7da0ed
|
{
"intermediate": 0.3960287272930145,
"beginner": 0.1326259970664978,
"expert": 0.47134527564048767
}
|
13,383
|
can you create me a script to listen encrypted message with matrix-nio
|
8ee3f28a4885c4e1fea21babff1510d5
|
{
"intermediate": 0.3425862789154053,
"beginner": 0.07235835492610931,
"expert": 0.5850553512573242
}
|
13,384
|
fix this.
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.web.servlet.error.ErrorController;
import org.springframework.web.bind.annotation.RequestMapping;
@SpringBootApplication
public class SpringbootcrudApplication {
@RequestMapping(“/error”)
public class CustomErrorController implements ErrorController {
@RequestMapping
public String handleError() {
// Handle the error and return the path to your custom error page
return “error”;
}
@Override
public String getErrorPath() {
return “/error”;
}
}
public static void main(String[] args) {
SpringApplication.run(SpringbootcrudApplication.class, args);
}
}
|
7cfc5e7f05582a66b91909652342b709
|
{
"intermediate": 0.4811190962791443,
"beginner": 0.30227673053741455,
"expert": 0.21660417318344116
}
|
13,385
|
can you create me a script to listen encrypted message with matrix-nio
|
522d65741cc3fdb77bf8a5284f96f209
|
{
"intermediate": 0.3425862789154053,
"beginner": 0.07235835492610931,
"expert": 0.5850553512573242
}
|
13,386
|
localhost 8050 page not found.Fix this.
Spring Boot "application.properties":spring.datasource.url=jdbc:mysql://localhost:3306/springbootcrud
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.username=root
spring.datasource.password=7788
server.port=8050
Interface "User Repository":
import net.crud.springbootcrud.model.User;
import org.springframework.data.jpa.repository.JpaRepository;
public interface UserRepository extends JpaRepository<User, Long> {
}
Java file "UserController":
import net.crud.springbootcrud.model.User;
import net.crud.springbootcrud.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.ui.Model;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import java.util.List;
@Controller
public class UserController {
private final UserService userService;
public UserController(UserService userService) {
this.userService = userService;
}
@GetMapping("/users")
public String findAll(Model model){
List<User> users = userService.findAll();
model.addAttribute("users",users);
return "user-list";
}
@GetMapping("/user-create")
public String createUserForm(User user){
return "user-create";
}
@PostMapping("/user-create")
public String createUser(User user){
userService.saveUser(user);
return "redirect:/users";
}
}
Java file "User":
import jakarta.persistence.*;
import lombok.Data;
@Data
@Entity
@Table(name = "users")
public class User {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(name = "first name")
private String firstName;
@Column(name = "last name")
private String lastName;
@Column(name = "username")
private String username;
public String getUsername() {
return username;
}
}
Java file "UserService":
import net.crud.springbootcrud.model.User;
import net.crud.springbootcrud.repository.UserRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.List;
import java.util.Optional;
@Service
public class UserService {
private final UserRepository userRepository;
public UserService(UserRepository userRepository) {
this.userRepository = userRepository;
}
public User findById(Long id){
Optional<User> userOptional = userRepository.findById(id);
if(userOptional.isPresent()){
return userOptional.get();
}
throw new IllegalArgumentException("User with id " + id + " doesn't exist");
}
public List<User> findAll(){
return userRepository.findAll();
}
public User saveUser(User user){
if(user.getUsername() == null || user.getUsername().isEmpty()){
throw new IllegalArgumentException("Username can not be empty");
}
return userRepository.save(user);
}
public void deleteById(Long id){
Optional<User> userOptional = userRepository.findById(id);
if(userOptional.isPresent()){
userRepository.deleteById(id);
}
else{
throw new IllegalArgumentException("User with id " + id + " doesn't exist");
}
}
}
Java file "spirngbootcrudApplication":
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.web.servlet.error.ErrorController;
import org.springframework.web.bind.annotation.RequestMapping;
@SpringBootApplication
public class SpringbootcrudApplication implements ErrorController {
private static final String PATH = "/error";
@RequestMapping(value = PATH)
public String error() {
return "error"; // Return the path to your custom error page
}
public String getErrorPath() {
return PATH;
}
@RequestMapping // Remove the value attribute to map to all paths
public String handleError() {
// Handle the error and return the path to your custom error page
return "error";
}
public static void main(String[] args) {
SpringApplication.run(SpringbootcrudApplication.class, args);
}
}
}
|
1fc3e4117a6c2c5b9d870fb969aed63a
|
{
"intermediate": 0.35680603981018066,
"beginner": 0.45657747983932495,
"expert": 0.18661639094352722
}
|
13,387
|
export const saveFiguresToLocalStorage = (figures: { [key: string]: any }) => {
localStorage.setItem("figures", JSON.stringify(figures));
};
export const CandleChart = ({
candles,
uniqueId,
symbolName,
orders,
amount,
openPrice,
closePrice,
onScreenshotCreated,
chartInterval,
setChartInterval,
waiting,
setWaiting,
height,
showIntervalSelector,
}: CandleChartProps) => {
const chart = useRef<Chart|null>(null);
const paneId = useRef<string>("");
const [figureId, setFigureId] = useState<string>("");
const ref = useRef<HTMLDivElement>(null);
const [figures, setFigures] = useState<{ [key: string]: Figure }>({});
const loadFiguresFromLocalStorage = (): { [key: string]: Figure } => {
const figuresData = localStorage.getItem("figures");
if (figuresData) {
return JSON.parse(figuresData);
}
return {};
};
useEffect(() => {
const savedFigures = loadFiguresFromLocalStorage();
setFigures(savedFigures);
}, []);
useEffect(() => {
// @ts-ignore
chart.current = init(`chart-${uniqueId}`, {styles: chartStyles(theme)});
return () => dispose(`chart-${uniqueId}`);
}, [uniqueId]);
useEffect(() => {
chart.current?.applyNewData(candles);
chart.current?.overrideIndicator({
name: "VOL",
shortName: "Объем",
calcParams: [],
figures: [
{
key: "volume",
title: "",
type: "bar",
baseValue: 0,
styles: (data: IndicatorFigureStylesCallbackData<Vol>, indicator: Indicator, defaultStyles: IndicatorStyle) => {
const kLineData = data.current.kLineData as KLineData;
let color: string;
if (kLineData.close > kLineData.open) {
color = utils.formatValue(indicator.styles, "bars[0].upColor", (defaultStyles.bars)[0].upColor) as string;
} else if (kLineData.close < kLineData.open) {
color = utils.formatValue(indicator.styles, "bars[0].downColor", (defaultStyles.bars)[0].downColor) as string;
} else {
color = utils.formatValue(indicator.styles, "bars[0].noChangeColor", (defaultStyles.bars)[0].noChangeColor) as string;
}
return {color};
},
},
],
}, paneId.current);
chart.current?.createIndicator("VOL", false, {id: paneId.current});
}, [candles]);
у нас есть useState figures.
При отрисовке запрашиваются данные.(ключ это id фгуры, а свойство сама фигура)
return (<>
<CandleChartToolbar
setFigureId={setFigureId}
chart={chart}
paneId={paneId}
handle={handle}
setFigures={setFigures}
overlayRefs={overlayRefs}
figures={figures}
/>
<Box
ref={ref}
id={`chart-${uniqueId}`}
width="calc(100% - 55px)"
height="100%"
sx={{borderLeft: theme => `2px solid ${theme.palette.grey[50]}`}}
>
</>);
};
const CandleChartToolbar = ({chart, paneId, setFigureId, handle, setFigures}: CandleChartToolbarProps) => {
const darkMode = useTheme().palette.mode === "dark";
const removeOverlay = () => {
chart.current?.removeOverlay();
setFigureId("");
setFigures({});
localStorage.removeItem("figures");
};
return <>
<Stack
<PriceLineTool chart={chart} paneId={paneId} setFigureId={setFigureId} setFigures={setFigures}/>
<RayLineTool chart={chart} paneId={paneId} setFigureId={setFigureId} setFigures={setFigures}/>
<StraightLineTool chart={chart} paneId={paneId} setFigureId={setFigureId} setFigures={setFigures}/>
<IconButton sx={{borderRadius: 2, "&:hover": {backgroundColor: darkMode ? "#2b2b2b !important" : ""}}} onClick={removeOverlay}>
<Icon component={BasketIcon}/>
</IconButton>
</Stack>
</>;
};
export default CandleChartToolbar;
import {ToolProps} from "./Tool.props";
import {Icon, IconButton, useTheme} from "@mui/material";
import React from "react";
import {PriceLineIcon} from "../../../icons";
import { saveFiguresToLocalStorage } from "../CandleChart";
const PriceLineTool = ({chart, paneId, setFigureId, setFigures}: ToolProps) => {
const darkMode = useTheme().palette.mode === "dark";
const onClickHandler = () => {
chart.current?.createOverlay({
name: "priceLine",
styles: {
text: {
color: darkMode ? "#fff" : "#1e293b",
},
line: {
color: darkMode ? "#fff" : "#1e293b",
},
point: {
color: darkMode ? "#fff" : "#1e293b",
borderColor: darkMode ? "#fff" : "#1e293b",
activeColor: darkMode ? "#fff" : "#1e293b",
activeBorderColor: darkMode ? "#fff3" : "#1e293bd1",
},
},
onSelected: function(event) {
setFigureId(event.overlay.id);
return false;
},
onDeselected: function() {
setFigureId("");
return false;
},
onDrawEnd: function(event) {
setFigures((prevFigures: any) => {
const updatedFigures = {
...prevFigures,
[event.overlay.id]: event,
};
saveFiguresToLocalStorage(updatedFigures);
return updatedFigures;
});
return false;
},
});
};
return <>
<IconButton onClick={onClickHandler} sx={{borderRadius: 2, color: darkMode ? "#fff" : "#677294", "&:hover": {backgroundColor: darkMode ? "#2b2b2b !important" : ""}}}>
<Icon component={PriceLineIcon} />
</IconButton>
</>;
};
export default PriceLineTool;
Отрисовывается CandleChart, запрашивает данные с localStorage, и если есть данные добавляет в figures.
Нужно... если const [figures, setFigures] = useState<{ [key: string]: Figure }>({}); не пустоцй объект, то отрисовывать эти свойства(фигуры) на графике
|
7bd803ac1cf3023e6415afc3911ce1b8
|
{
"intermediate": 0.31352439522743225,
"beginner": 0.5068406462669373,
"expert": 0.1796349287033081
}
|
13,388
|
can you adapt me the next script :
import matrix_commander
import subprocess
mc = matrix_commander.MatrixCommander()
def start_second_script(message):
if message == "GO":
subprocess.Popen(['python3', 'second_script.py'])
def stop_second_script(message):
if message == "STOP":
subprocess.call(['pkill', '-f', 'second_script.py'])
mc.add_message_handler(start_second_script)
mc.add_message_handler(stop_second_script)
mc.start()
to use :
sys.argv[0] = "matrix-commander"
sys.argv.extend(["--listen"])
|
0822bceb4a28c0dacb9114cd4f3707af
|
{
"intermediate": 0.4395160675048828,
"beginner": 0.3644070625305176,
"expert": 0.1960769146680832
}
|
13,389
|
hey buddy
|
5e22c65afa05b0cb1a9392785018d86d
|
{
"intermediate": 0.3439290523529053,
"beginner": 0.29645806550979614,
"expert": 0.3596128523349762
}
|
13,390
|
Hey ... ask me a tough JavaScript question
|
eb2ff8d58c8080c108f1d56b24ec02a3
|
{
"intermediate": 0.418704628944397,
"beginner": 0.4355153441429138,
"expert": 0.14577999711036682
}
|
13,391
|
write a login page so beautiful
|
7157118ffd9b25d06b0cc32a019cb8b7
|
{
"intermediate": 0.31170669198036194,
"beginner": 0.3264657258987427,
"expert": 0.361827552318573
}
|
13,392
|
check if the user has role assigned to it on discord js
|
3de1f2b4516aac81c31be403ed707d2b
|
{
"intermediate": 0.3975036144256592,
"beginner": 0.25977110862731934,
"expert": 0.3427252471446991
}
|
13,393
|
“Please integrate the two codes and modify it to use the dataset and model for the second algorithm, not the dataset for the first algorithm.”
Here are the steps to integrate the two codes:
first code:
from operator import ne
import os
import torch
import argparse
import random
import numpy as np
from model import SASRec
from SASRec_utils import
from UFN_utils import
from torch_ema import ExponentialMovingAverage
def str2bool(s):
if s not in {‘false’, ‘true’}:
raise ValueError(‘Not a valid boolean string’)
return s == ‘true’
parser = argparse.ArgumentParser()
parser.add_argument(‘–dataset’, default=“Beauty”)
parser.add_argument(‘–name’, required=True)
parser.add_argument(‘–batch_size’, default=128, type=int)
parser.add_argument(‘–lr’, default=0.001, type=float)
parser.add_argument(‘–maxlen’, default=50, type=int)
parser.add_argument(‘–hidden_units’, default=50, type=int)
parser.add_argument(‘–num_blocks’, default=2, type=int)
parser.add_argument(‘–num_epochs’, default=201, type=int)
parser.add_argument(‘–num_heads’, default=1, type=int)
parser.add_argument(‘–dropout_rate’, default=0.5, type=float)
parser.add_argument(‘–l2_emb’, default=0.0, type=float)
parser.add_argument(‘–device’, default=‘cuda’, type=str)
parser.add_argument(‘–neg_nums’, default=100, type=int)
parser.add_argument(‘–gpu’, default=“0”, type=str)
parser.add_argument(‘–reverse’,default=5,type=int)
parser.add_argument(‘–lbd’,default=0.3,type=float)
parser.add_argument(‘–decay’,default=0.999,type=float)
args = parser.parse_args()
os.environ[“CUDA_VISIBLE_DEVICES”] = args.gpu
args.name = “./” + args.name
if not os.path.isdir(args.dataset + ‘’ + args.name):
os.makedirs(args.dataset + '’ + args.name)
with open(os.path.join(args.dataset + ‘’ + args.name, ‘args.txt’), ‘w’) as f:
f.write(‘\n’.join([str(k) + ‘,’ + str(v) for k, v in sorted(vars(args).items(), key=lambda x: x[0])]))
f.close()
if name == ‘main’:
# global dataset
dataset = data_partition(args.dataset)
[user_train, user_valid, user_test, usernum, itemnum] = dataset
num_batch = len(user_train) // args.batch_size # tail? + ((len(user_train) % args.batch_size) != 0)
cc = 0.0
for u in user_train:
cc += len(user_train[u])
print(‘average sequence length: %.2f’ % (cc / len(user_train)))
f = open(os.path.join(args.dataset + ‘’ + args.name, ‘log.txt’), ‘w’)
sampler = WarpSampler(user_train, usernum, itemnum, batch_size=args.batch_size, maxlen=args.maxlen, n_workers=3,
neg_nums=args.neg_nums)
model = SASRec(usernum, itemnum, args).to(args.device) # no ReLU activation in original SASRec implementation?
for name, param in model.named_parameters():
try:
torch.nn.init.xavier_normal_(param.data)
except:
pass # just ignore those failed init layers
model.train() # enable model training
epoch_start_idx = 1
adam_optimizer = torch.optim.Adam(model.parameters(), lr=args.lr, betas=(0.9, 0.98))
loss_lst = []
flag = False # flag used to decide whether to do negative sampling
hard_items = {} # record the user’s fixed ordinal position’s hard negs in in the last training.
# key:(user_id, position) values:[hard_negs,…]
cnt_items = {} # record frequency of the user’s fixed ordinal position’s hard negs
# key:(user_id, position, hard_neg_id) values:The number of occurrences of hard_neg_id, int
ema = None
for epoch in range(epoch_start_idx, args.num_epochs + 1):
sum_loss = 0
for step in range(num_batch): # tqdm(range(num_batch), total=num_batch, ncols=70, leave=False, unit=‘b’):
u, seq, pos, neg = sampler.next_batch() # tuples to ndarray
u, seq, pos, neg = np.array(u), np.array(seq), np.array(pos), np.array(neg)
reverse = hard_neg_sample(u, seq, pos, neg, hard_items, cnt_items, args)
pos_ = np.expand_dims(pos, 2)
all_samples = np.concatenate((pos_, neg), axis=2)
all_logits = model(u, seq, all_samples)
teacher_logits = None
if flag:
if ema == None:
ema = ExponentialMovingAverage(model.parameters(), decay=args.decay)
ema.to(device = args.device)
else:
with ema.average_parameters():
teacher_logits = model(u, seq, all_samples)
teacher_logits = teacher_logits.detach()
pos_labels, neg_labels = torch.ones(all_logits.shape[0], all_logits.shape[1], 1), torch.zeros(
all_logits.shape[0], all_logits.shape[1], all_logits.shape[2] - 1)
dim0, dim1, dim2 = [],[],[]
cnt = 0
for i in reverse:
neg_labels[i[0]][i[1]][i[2]] = 1
dim0.append(i[0])
dim1.append(i[1])
dim2.append(i[2] + 1)
cnt += 1
reverse_indices = (np.array(dim0), np.array(dim1), np.array(dim2))
if (step == 0):
print("num of labels reversed: ",cnt)
all_labels = torch.cat((pos_labels, neg_labels), dim=2)
all_labels = all_labels.to(device = args.device)
indices = np.where(all_samples != 0)
bce_criterion = torch.nn.BCEWithLogitsLoss()
loss = bce_criterion(all_logits[indices], all_labels[indices])
loss = loss * 2
for param in model.item_emb.parameters(): loss += args.l2_emb * torch.norm(param)
if teacher_logits != None and len(reverse_indices[0]):
loss += args.lbd * bce_criterion(all_logits[reverse_indices], torch.sigmoid(teacher_logits[reverse_indices]))
adam_optimizer.zero_grad()
loss.backward()
adam_optimizer.step()
sum_loss += loss.item()
if flag:
ema.update()
if ((not flag) and len(loss_lst) > 7 and loss_lst[epoch - 3] - loss_lst[epoch - 2] < (loss_lst[0] - loss_lst[5])/200):
flag = True
if flag:
update_hard_negs(u, pos, hard_items, all_logits, all_labels, all_samples, args)
# print(“loss in epoch {} iteration {}: {}”.format(epoch, step, loss.item()))
loss_lst.append(sum_loss)
print(“loss in epoch {} : {}”.format(epoch + 1, sum_loss / num_batch))
if (epoch % 4 == 0):
f.write(str(sum_loss) + ’ ‘)
model.eval()
if flag:
with ema.average_parameters():
print(‘Evaluating’, end=’‘)
t_test = evaluate(model, dataset, args)
t_valid = evaluate_valid(model, dataset, args)
else:
print(‘Evaluating’, end=’‘)
t_test = evaluate(model, dataset, args)
t_valid = evaluate_valid(model, dataset, args)
print(’\n epoch:%d, valid (NDCG@1: %.4f, NDCG@5: %.4f, NDCG@10: %.4f, HR@1: %.4f, HR@5: %.4f, HR@10: %.4f), test (NDCG@1: %.4f, NDCG@5: %.4f, NDCG@10: %.4f, HR@1: %.4f, HR@5: %.4f, HR@10: %.4f)’
% (epoch, t_valid[0], t_valid[1], t_valid[2], t_valid[3], t_valid[4], t_valid[5], t_test[0], t_test[1], t_test[2], t_test[3], t_test[4], t_test[5]))
f.write(str(t_valid) + ’ ’ + str(t_test) + ‘\n’)
f.flush()
model.train()
f.close()
sampler.close()
print(“Done”)
1.
First, load the second code with the necessary libraries and updated false negative detection algorithm.
second code:
# – coding: utf-8 –
“”“
Created on Tue Nov 17 15:33:01 2020
@author: Liwei Huang
”“”
import time
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from data_prepare import data_partition,NeighborFinder
from model import PTGCN
from modules import TimeEncode,MergeLayer,time_encoding
class Config(object):
“”“config.”“”
data = ‘Moivelens’
batch_size = 64
n_degree = [20,50] #‘Number of neighbors to sample’
n_head = 4 #‘Number of heads used in attention layer’
n_epoch = 50 #‘Number of epochs’
n_layer = 2 #‘Number of network layers’
lr = 0.0001 #‘Learning rate’
patience = 25 #‘Patience for early stopping’
drop_out = 0.1 #‘Dropout probability’
gpu = 0, #‘Idx for the gpu to use’
node_dim = 160 #‘Dimensions of the node embedding’
time_dim = 160 #‘Dimensions of the time embedding’
embed_dim = 160 #‘Dimensions of the hidden embedding’
is_GPU = True
temperature = 0.07
def evaluate(model, ratings, items, dl, adj_user_edge, adj_item_edge, adj_user_time, adj_item_time, device):
torch.cuda.empty_cache()
NDCG5 = 0.0
NDCG10 = 0.0
recall5 = 0.0
recall10 =0.0
num_sample = 0
with torch.no_grad():
model = model.eval()
for ix,batch in enumerate(dl):
#if ix%100==0:
# print(‘batch:’,ix)
count = len(batch)
num_sample = num_sample + count
b_user_edge = find_latest_1D(np.array(ratings.iloc[batch][‘user_id’]), adj_user_edge, adj_user_time, ratings.iloc[batch][‘timestamp’].tolist())
b_user_edge = torch.from_numpy(b_user_edge).to(device)
b_users = torch.from_numpy(np.array(ratings.iloc[batch][‘user_id’])).to(device)
b_item_edge = find_latest_1D(np.array(ratings.iloc[batch][‘item_id’]), adj_item_edge, adj_item_time, ratings.iloc[batch][‘timestamp’].tolist())
b_item_edge = torch.from_numpy(b_item_edge).to(device)
b_items = torch.from_numpy(np.array(ratings.iloc[batch][‘item_id’])).to(device)
timestamps = torch.from_numpy(np.array(ratings.iloc[batch][‘timestamp’])).to(device)
negative_samples = sampler(items, adj_user, ratings.iloc[batch][‘user_id’].tolist() ,100)
neg_edge = find_latest(negative_samples, adj_item_edge, adj_item_time, ratings.iloc[batch][‘timestamp’].tolist())
negative_samples = torch.from_numpy(np.array(negative_samples)).to(device)
item_set = torch.cat([b_items.view(-1,1),negative_samples], dim=1) #batch, 101
timestamps_set = timestamps.unsqueeze(1).repeat(1,101)
neg_edge = torch.from_numpy(neg_edge).to(device)
edge_set = torch.cat([b_item_edge.view(-1,1),neg_edge], dim=1) #batch, 101
user_embeddings = model(b_users, b_user_edge,timestamps, config.n_layer, nodetype=‘user’)
itemset_embeddings = model(item_set.flatten(), edge_set.flatten(), timestamps_set.flatten(), config.n_layer, nodetype=‘item’)
itemset_embeddings = itemset_embeddings.view(count, 101, -1)
logits = torch.bmm(user_embeddings.unsqueeze(1), itemset_embeddings.permute(0,2,1)).squeeze(1) # [count,101]
logits = -logits.cpu().numpy()
rank = logits.argsort().argsort()[:,0]
recall5 += np.array(rank<5).astype(float).sum()
recall10 += np.array(rank<10).astype(float).sum()
NDCG5 += (1 / np.log2(rank + 2))[rank<5].sum()
NDCG10 += (1 / np.log2(rank + 2))[rank<10].sum()
recall5 = recall5/num_sample
recall10 = recall10/num_sample
NDCG5 = NDCG5/num_sample
NDCG10 = NDCG10/num_sample
print(“===> recall_5: {:.10f}, recall_10: {:.10f}, NDCG_5: {:.10f}, NDCG_10: {:.10f}, time:{}”.format(recall5, recall10, NDCG5, NDCG10, time.strftime(‘%Y-%m-%d %H:%M:%S’,time.localtime(time.time()))))
return recall5, recall10, NDCG5, NDCG10
def sampler(items, adj_user, b_users, size):
negs = []
for user in b_users:
houxuan = list(set(items)-set(adj_user[user]))
src_index = random.sample(list(range(len(houxuan))), size)
negs.append(np.array(houxuan)[src_index])
negs = np.array(negs)
return negs
def find_latest(nodes, adj, adj_time, timestamps):
#negative_samples, [b,size]
edge = np.zeros_like(nodes)
for ix in range(nodes.shape[0]):
for iy in range(nodes.shape[1]):
node = nodes[ix, iy]
edge_idx = np.searchsorted(adj_time[node], timestamps[ix])-1
edge[ix, iy] = np.array(adj[node])[edge_idx]
return edge
def find_latest_1D(nodes, adj, adj_time, timestamps):
#negative_samples, [b,size]
edge = np.zeros_like(nodes)
for ix in range(nodes.shape[0]):
node = nodes[ix]
edge_idx = np.searchsorted(adj_time[node], timestamps[ix])-1
edge[ix] = np.array(adj[node])[edge_idx]
return edge
if name==‘main’:
config = Config()
checkpoint_dir=‘/models’
min_NDCG10 = 1000.0
max_itrs = 0
device_string = ‘cuda:0’ if torch.cuda.is_available() else ‘cpu’
device = torch.device(device_string)
print(“loading the dataset…”)
ratings, train_data, valid_data, test_data = data_partition(‘data/movielens/ml-1m’)
users = ratings[‘user_id’].unique()
items = ratings[‘item_id’].unique()
items_in_data = ratings.iloc[train_data+valid_data+test_data][‘item_id’].unique()
adj_user = {user: ratings[ratings.user_id == user][‘item_id’].tolist() for user in users}
adj_user_edge = {user:ratings[ratings.user_id == user].index.tolist() for user in users}
adj_user_time = {user:ratings[ratings.user_id == user][‘timestamp’].tolist() for user in users}
adj_item_edge = {item:ratings[ratings.item_id == item].index.tolist() for item in items}
adj_item_time = {item:ratings[ratings.item_id == item][‘timestamp’].tolist() for item in items}
num_users = len(users)
num_items = len(items)
neighor_finder = NeighborFinder(ratings)
time_encoder = time_encoding(config.time_dim)
MLPLayer = MergeLayer(config.embed_dim, config.embed_dim, config.embed_dim, 1)
a_users = np.array(ratings[‘user_id’])
a_items = np.array(ratings[‘item_id’])
edge_idx = np.arange(0, len(a_users))
user_neig50 = neighor_finder.get_user_neighbor_ind(a_users, edge_idx, max(config.n_degree), device)
item_neig50 = neighor_finder.get_item_neighbor_ind(a_items, edge_idx, max(config.n_degree), device)
criterion = torch.nn.CrossEntropyLoss(reduction=‘sum’)
model = PTGCN(user_neig50, item_neig50, num_users, num_items,
time_encoder, config.n_layer, config.n_degree, config.node_dim, config.time_dim,
config.embed_dim, device, config.n_head, config.drop_out
).to(device)
optim = torch.optim.Adam(model.parameters(),lr=config.lr)
num_params = 0
for param in model.parameters():
num_params += param.numel()
print(num_params)
# 训练集分为不同batch
dl = DataLoader(train_data, config.batch_size, shuffle=True, pin_memory=True)
itrs = 0
sum_loss=0
for epoch in range(config.n_epoch):
time1 = 0.0
x=0.0
for id,batch in enumerate(dl):
#print(‘epoch:’,epoch,’ batch:‘,id)
x=x+1
optim.zero_grad()
count = len(batch)
b_user_edge = find_latest_1D(np.array(ratings.iloc[batch][‘user_id’]), adj_user_edge, adj_user_time, ratings.iloc[batch][‘timestamp’].tolist())
b_user_edge = torch.from_numpy(b_user_edge).to(device)
b_users = torch.from_numpy(np.array(ratings.iloc[batch][‘user_id’])).to(device)
b_item_edge = find_latest_1D(np.array(ratings.iloc[batch][‘item_id’]), adj_item_edge, adj_item_time, ratings.iloc[batch][‘timestamp’].tolist())
b_item_edge = torch.from_numpy(b_item_edge).to(device)
b_items = torch.from_numpy(np.array(ratings.iloc[batch][‘item_id’])).to(device)
timestamps = torch.from_numpy(np.array(ratings.iloc[batch][‘timestamp’])).to(device)
negative_samples = sampler(items_in_data, adj_user, ratings.iloc[batch][‘user_id’].tolist() ,1)
neg_edge = find_latest(negative_samples, adj_item_edge, adj_item_time, ratings.iloc[batch][‘timestamp’].tolist())
negative_samples = torch.from_numpy(np.array(negative_samples)).to(device)
negative_samples = negative_samples.squeeze()
neg_edge = torch.from_numpy(neg_edge).to(device)
neg_edge = neg_edge.squeeze()
time0 = time.time()
user_embeddings = model(b_users, b_user_edge, timestamps, config.n_layer, nodetype=‘user’)
item_embeddings = model(b_items, b_item_edge, timestamps, config.n_layer, nodetype=‘item’)
negs_embeddings = model(negative_samples, neg_edge, timestamps, config.n_layer, nodetype=‘item’)
with torch.no_grad():
labels = torch.zeros(count, dtype=torch.long).to(device)
l_pos = torch.bmm(user_embeddings.view(count, 1, -1), item_embeddings.view(count, -1, 1)).view(count, 1) # [count,1]
l_u = torch.bmm(user_embeddings.view(count, 1, -1), negs_embeddings.view(count, -1, 1)).view(count, 1) # [count,n_negs]
logits = torch.cat([l_pos, l_u], dim=1) # [count, 2]
loss = criterion(logits/config.temperature, labels)
loss.backward()
optim.step()
itrs += 1
#time1 = time1 + (time.time() - time0)
#print(‘time:’+str(time1 / x))
sum_loss = sum_loss + loss.item()
avg_loss = sum_loss / itrs
if id%10==0:
print(“===>({}/{}, {}): loss: {:.10f}, avg_loss: {:.10f}, time:{}”.format(id, len(dl), epoch, loss.item(), avg_loss, time.strftime(’%Y-%m-%d %H:%M:%S’,time.localtime(time.time()))))
print(“===>({}): loss: {:.10f}, avg_loss: {:.10f}, time:{}”.format(epoch, loss.item(), avg_loss, time.strftime(‘%Y-%m-%d %H:%M:%S’,time.localtime(time.time()))))
### Validation
if epoch%3==0:
val_bl = DataLoader(valid_data, 5, shuffle=True, pin_memory=True)
recall5, recall10, NDCG5, NDCG10 = evaluate(model, ratings, items, val_bl, adj_user_edge, adj_item_edge, adj_user_time, adj_item_time, device)
if min_NDCG10>NDCG10:
min_NDCG10 = NDCG10
max_itrs = 0
else:
max_itrs += 1
if max_itrs>config.patience:
break
print(‘Epoch %d test’ % epoch)
test_bl1 = DataLoader(test_data, 5, shuffle=True, pin_memory=True)
recall5, recall10, NDCG5, NDCG10 = evaluate(model, ratings, items, test_bl1, adj_user_edge, adj_item_edge, adj_user_time, adj_item_time, device)
2.Load the new data containing false negative samples into the code based on the first algorithm.
3.Use the false negative detection algorithm from the first code to identify the false negative samples.
4.Using the teacher-student learning technique from the first code, change the label of the false negative samples to positive and add the new data to the training data.
5.Finally, train the model with the new data and evaluate its performance on the test data.
By following these steps,
"Please integrate the two codes and modify it to use the dataset and model for the second algorithm, not the dataset for the first algorithm and use the false negative detection algorithm and teacher-student learning technique from the first algorithm to correct false negative samples in the first algorithm.
|
b4164bc8c4abb10284c9bda93d2a4c9b
|
{
"intermediate": 0.35618552565574646,
"beginner": 0.4579388499259949,
"expert": 0.18587560951709747
}
|
13,394
|
en chroot impossible de mettre add-apt-repository ppa:mozillateam/ppa
|
49404909ef3b9cd0a8ed82fe2186c4e1
|
{
"intermediate": 0.41488921642303467,
"beginner": 0.27398210763931274,
"expert": 0.311128705739975
}
|
13,395
|
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.2.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>net.proselyte</groupId>
<artifactId>springbootdemo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>springbootcrud</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.junit.vintage</groupId>
<artifactId>junit-vintage-engine</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
<profiles>
<profile>
<id>prod</id>
<properties>
<spring.profiles.active>prod</spring.profiles.active>
</properties>
</profile>
</profiles>
</project>
Fix this.
|
36fea84b73207d6d8a719b56b90e0e5e
|
{
"intermediate": 0.2750382423400879,
"beginner": 0.4267255663871765,
"expert": 0.2982361316680908
}
|
13,396
|
can you wirte a TensorFlow.NET Deep Lern Alogrithm in c# that can use the machine after lerning
|
6c0b73dfa0f9a81ecade5d61a0808354
|
{
"intermediate": 0.37011095881462097,
"beginner": 0.057212743908166885,
"expert": 0.5726763010025024
}
|
13,397
|
write a deboucing logic using useEffect in react,the dependency array of useEffect is tempNoteText
|
638880c40af4113cc5e0709f72217933
|
{
"intermediate": 0.5003726482391357,
"beginner": 0.1831231266260147,
"expert": 0.31650421023368835
}
|
13,398
|
in pom.xml,put them in their places. <?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.1.1</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>net.crud</groupId>
<artifactId>springbootcrud</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>springbootcrud</name>
<description>Demo project for Spring Boot</description>
<properties>
<java.version>17</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>com.mysql</groupId>
<artifactId>mysql-connector-j</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<excludes>
<exclude>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</exclude>
</excludes>
</configuration>
</plugin>
</plugins>
</build>
</project>
<bean id="sessionFactory"
class="org.springframework.orm.hibernate5.LocalSessionFactoryBean">
<property name="dataSource"
ref="dataSource"/>
<property name="packagesToScan"
value="com.baeldung.hibernate.bootstrap.model"/>
<property name="hibernateProperties">
<props>
<prop key="hibernate.hbm2ddl.auto">
create-drop
</prop>
<prop key="hibernate.dialect">
org.hibernate.dialect.H2Dialect
</prop>
</props>
</property>
</bean>
<bean id="dataSource"
class="org.apache.tomcat.dbcp.dbcp2.BasicDataSource">
<property name="driverClassName" value="org.h2.Driver"/>
<property name="url" value="jdbc:h2:mem:db;DB_CLOSE_DELAY=-1"/>
<property name="username" value="sa"/>
<property name="password" value="sa"/>
</bean>
<bean id="txManager"
class="org.springframework.orm.hibernate5.HibernateTransactionManager">
<property name="sessionFactory" ref="sessionFactory"/>
</bean>
</beans>
|
e5a49d9d8d86e27648bb39da99ae6265
|
{
"intermediate": 0.3484720289707184,
"beginner": 0.4805416166782379,
"expert": 0.1709863841533661
}
|
13,399
|
Error starting ApplicationContext. To display the condition evaluation report re-run your application with 'debug' enabled.
2023-06-24T15:32:26.728+03:00 ERROR 15132 --- [ main] o.s.boot.SpringApplication : Application run failed
org.springframework.beans.factory.UnsatisfiedDependencyException: Error creating bean with name 'userController' defined in file [D:\springbootcrud\target\classes\net\crud\springbootcrud\controller\UserController.class]: Unsatisfied dependency expressed through constructor parameter 0: Error creating bean with name 'userService' defined in file [D:\springbootcrud\target\classes\net\crud\springbootcrud\service\UserService.class]: Unsatisfied dependency expressed through constructor parameter 0: Error creating bean with name 'userRepository' defined in net.crud.springbootcrud.repository.UserRepository defined in @EnableJpaRepositories declared on JpaRepositoriesRegistrar.EnableJpaRepositoriesConfiguration: Not a managed type: class net.crud.springbootcrud.model.User
at org.springframework.beans.factory.support.ConstructorResolver.createArgumentArray(ConstructorResolver.java:800) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.ConstructorResolver.autowireConstructor(ConstructorResolver.java:245) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.autowireConstructor(AbstractAutowireCapableBeanFactory.java:1352) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:1189) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:560) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:520) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.lambda$doGetBean$0(AbstractBeanFactory.java:326) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:234) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:324) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:200) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:973) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:941) ~[spring-context-6.0.10.jar:6.0.10]
at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:608) ~[spring-context-6.0.10.jar:6.0.10]
at org.springframework.boot.web.servlet.context.ServletWebServerApplicationContext.refresh(ServletWebServerApplicationContext.java:146) ~[spring-boot-3.1.1.jar:3.1.1]
at org.springframework.boot.SpringApplication.refresh(SpringApplication.java:734) ~[spring-boot-3.1.1.jar:3.1.1]
at org.springframework.boot.SpringApplication.refreshContext(SpringApplication.java:436) ~[spring-boot-3.1.1.jar:3.1.1]
at org.springframework.boot.SpringApplication.run(SpringApplication.java:312) ~[spring-boot-3.1.1.jar:3.1.1]
at org.springframework.boot.SpringApplication.run(SpringApplication.java:1306) ~[spring-boot-3.1.1.jar:3.1.1]
at org.springframework.boot.SpringApplication.run(SpringApplication.java:1295) ~[spring-boot-3.1.1.jar:3.1.1]
at net.crud.springbootcrud.SpringbootcrudApplication.main(SpringbootcrudApplication.java:11) ~[classes/:na]
Caused by: org.springframework.beans.factory.UnsatisfiedDependencyException: Error creating bean with name 'userService' defined in file [D:\springbootcrud\target\classes\net\crud\springbootcrud\service\UserService.class]: Unsatisfied dependency expressed through constructor parameter 0: Error creating bean with name 'userRepository' defined in net.crud.springbootcrud.repository.UserRepository defined in @EnableJpaRepositories declared on JpaRepositoriesRegistrar.EnableJpaRepositoriesConfiguration: Not a managed type: class net.crud.springbootcrud.model.User
at org.springframework.beans.factory.support.ConstructorResolver.createArgumentArray(ConstructorResolver.java:800) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.ConstructorResolver.autowireConstructor(ConstructorResolver.java:245) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.autowireConstructor(AbstractAutowireCapableBeanFactory.java:1352) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:1189) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:560) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:520) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.lambda$doGetBean$0(AbstractBeanFactory.java:326) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:234) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:324) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:200) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.config.DependencyDescriptor.resolveCandidate(DependencyDescriptor.java:254) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultListableBeanFactory.doResolveDependency(DefaultListableBeanFactory.java:1417) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultListableBeanFactory.resolveDependency(DefaultListableBeanFactory.java:1337) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.ConstructorResolver.resolveAutowiredArgument(ConstructorResolver.java:888) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.ConstructorResolver.createArgumentArray(ConstructorResolver.java:791) ~[spring-beans-6.0.10.jar:6.0.10]
... 19 common frames omitted
Caused by: org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'userRepository' defined in net.crud.springbootcrud.repository.UserRepository defined in @EnableJpaRepositories declared on JpaRepositoriesRegistrar.EnableJpaRepositoriesConfiguration: Not a managed type: class net.crud.springbootcrud.model.User
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1770) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:598) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:520) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.lambda$doGetBean$0(AbstractBeanFactory.java:326) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:234) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:324) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:200) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.config.DependencyDescriptor.resolveCandidate(DependencyDescriptor.java:254) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultListableBeanFactory.doResolveDependency(DefaultListableBeanFactory.java:1417) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.DefaultListableBeanFactory.resolveDependency(DefaultListableBeanFactory.java:1337) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.ConstructorResolver.resolveAutowiredArgument(ConstructorResolver.java:888) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.ConstructorResolver.createArgumentArray(ConstructorResolver.java:791) ~[spring-beans-6.0.10.jar:6.0.10]
... 33 common frames omitted
Caused by: java.lang.IllegalArgumentException: Not a managed type: class net.crud.springbootcrud.model.User
at org.hibernate.metamodel.model.domain.internal.JpaMetamodelImpl.managedType(JpaMetamodelImpl.java:192) ~[hibernate-core-6.2.5.Final.jar:6.2.5.Final]
at org.hibernate.metamodel.model.domain.internal.MappingMetamodelImpl.managedType(MappingMetamodelImpl.java:467) ~[hibernate-core-6.2.5.Final.jar:6.2.5.Final]
at org.hibernate.metamodel.model.domain.internal.MappingMetamodelImpl.managedType(MappingMetamodelImpl.java:97) ~[hibernate-core-6.2.5.Final.jar:6.2.5.Final]
at org.springframework.data.jpa.repository.support.JpaMetamodelEntityInformation.<init>(JpaMetamodelEntityInformation.java:80) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.data.jpa.repository.support.JpaEntityInformationSupport.getEntityInformation(JpaEntityInformationSupport.java:69) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getEntityInformation(JpaRepositoryFactory.java:246) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getTargetRepository(JpaRepositoryFactory.java:211) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getTargetRepository(JpaRepositoryFactory.java:194) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getTargetRepository(JpaRepositoryFactory.java:81) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.data.repository.core.support.RepositoryFactorySupport.getRepository(RepositoryFactorySupport.java:317) ~[spring-data-commons-3.1.1.jar:3.1.1]
at org.springframework.data.repository.core.support.RepositoryFactoryBeanSupport.lambda$afterPropertiesSet$5(RepositoryFactoryBeanSupport.java:279) ~[spring-data-commons-3.1.1.jar:3.1.1]
at org.springframework.data.util.Lazy.getNullable(Lazy.java:245) ~[spring-data-commons-3.1.1.jar:3.1.1]
at org.springframework.data.util.Lazy.get(Lazy.java:114) ~[spring-data-commons-3.1.1.jar:3.1.1]
at org.springframework.data.repository.core.support.RepositoryFactoryBeanSupport.afterPropertiesSet(RepositoryFactoryBeanSupport.java:285) ~[spring-data-commons-3.1.1.jar:3.1.1]
at org.springframework.data.jpa.repository.support.JpaRepositoryFactoryBean.afterPropertiesSet(JpaRepositoryFactoryBean.java:132) ~[spring-data-jpa-3.1.1.jar:3.1.1]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.invokeInitMethods(AbstractAutowireCapableBeanFactory.java:1816) ~[spring-beans-6.0.10.jar:6.0.10]
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1766) ~[spring-beans-6.0.10.jar:6.0.10]
... 44 common frames omitted
|
76435971a51512dddd9cbd1958d2c442
|
{
"intermediate": 0.4294763505458832,
"beginner": 0.4543275237083435,
"expert": 0.11619611084461212
}
|
13,400
|
java code to make two Jlabels with icons inside draggable to any position of full screen JFrame screen , kepp the jlabel pos in sync with new dragged mouse pos
|
d742953834e88914de4ae6c280e5a163
|
{
"intermediate": 0.5569931268692017,
"beginner": 0.15050671994686127,
"expert": 0.2925001084804535
}
|
13,401
|
Make sure the User class is annotated with @Entity. This annotation tells Spring that the User class is a managed entity that needs to be persisted in the database.
import lombok.Data;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.GenerationType;
import javax.persistence.Id;
import javax.persistence.Table;
@Data
@Entity
@Table(name = "users")
public class User {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(name = "first_name")
private String firstName;
@Column(name = "last_name")
private String lastName;
}
|
eecd27f01bbcdc09a3d2dfaa2192b3da
|
{
"intermediate": 0.41489601135253906,
"beginner": 0.30768463015556335,
"expert": 0.2774193286895752
}
|
13,402
|
In general, you should use run if you just need to run a command and capture its output and Popen if you need more control over the process, such as interacting with its input and output streams.
The Popen class takes the same arguments as run(), including the args that specify the command to be run and other optional arguments such as stdin, stdout, stderr, shell, cwd, and env.
The Popen class has several methods that allow you to interact with the process, such as communicate(), poll(), wait(), terminate(), and kill(). please illustrate this paragraph and what is called the input and output stream?
|
140bbdce5017e00fb266813748eb3c89
|
{
"intermediate": 0.4754999577999115,
"beginner": 0.3016180992126465,
"expert": 0.22288194298744202
}
|
13,403
|
Error starting ApplicationContext. To display the condition evaluation report re-run your application with 'debug' enabled.
2023-06-24T15:32:26.728+03:00 ERROR 15132 --- [ main] o.s.boot.SpringApplication : Application run failed
org.springframework.beans.factory.UnsatisfiedDependencyException: Error creating bean with name 'userController' defined in file [D:\springbootcrud\target\classes\net\crud\springbootcrud\controller\UserController.class]: Unsatisfied dependency expressed through constructor parameter 0: Error creating bean with name 'userService' defined in file [D:\springbootcrud\target\classes\net\crud\springbootcrud\service\UserService.class]: Unsatisfied dependency expressed through constructor parameter 0: Error creating bean with name 'userRepository' defined in net.crud.springbootcrud.repository.UserRepository defined in @EnableJpaRepositories declared on JpaRepositoriesRegistrar.EnableJpaRepositoriesConfiguration: Not a managed type: class net.crud.springbootcrud.model.User
|
fb87a0b0a57099af0569d6e546d42e5a
|
{
"intermediate": 0.5507674813270569,
"beginner": 0.29686635732650757,
"expert": 0.15236617624759674
}
|
13,404
|
this the code I got, but I feel that is doesn't make any sence.. if the "product" table is on the "right join", why would it be on the left side of the "="?
select p.productid, p.title
from
review r
right join
product p
on p.productid=r.productid
where r.productid is null
|
19517a3612116addb5f47afae25dfcc4
|
{
"intermediate": 0.3929015100002289,
"beginner": 0.3323396146297455,
"expert": 0.27475881576538086
}
|
13,405
|
import {
Client,
GatewayIntentBits,
Routes,
Partials,
Events,
} from "discord.js";
import { config } from "dotenv";
import { REST } from "discord.js";
import commandManger from "./commands/order.js";
import rolesCommand from "./commands/roles.js";
import usersCommand from "./commands/user.js";
import channelsCommand from "./commands/channel.js";
import banCommand from "./commands/ban.js";
import getEmojiiListRoles from "./emojiiList.js"
import reactionAdded from "./reaction-manger/reactionAdd.js";
import reactionRemoved from "./reaction-manger/reactionRemove.js";
import mongoose from "mongoose";
config();
const client = new Client({
intents: [
GatewayIntentBits.Guilds,
GatewayIntentBits.GuildMessages,
GatewayIntentBits.MessageContent,
GatewayIntentBits.GuildMessageReactions,
],
partials: [Partials.Message, Partials.Channel, Partials.Reaction],
});
const Token = process.env.BOT_TOKEN;
const CLIENT_ID = process.env.CLIENT_ID;
const GUILD_ID = process.env.GUILD_ID;
const channel_Id = process.env.CHOOSE_ID;
const emojisList = await getEmojiiListRoles();
const rest = new REST({ version: "10" }).setToken(Token);
client.login(Token);
client.on("ready", () => {
console.log(`${client.user.tag} has logged IN`);
});
try{
const channel = client.channels.cache.get(channel_Id)
const messages = await channel.messages.fetch({ limit: 10 });
messages.forEach(message => {
message.reactions.cache.forEach( async (reaction) =>{
const users = await reaction.users.fetch();
users.forEach((user)=>{
reactionAdded(reaction, user, emojisList, channel_Id,message);
})
}
)
});
}
catch(error){
console.error("Error fetching old messages:", error);
}
client.on(Events.MessageReactionAdd, async (reaction, user) => {
reactionAdded(reaction, user, emojisList, channel_Id, message);
});
client.on(Events.MessageReactionRemove, async (reaction, user) => {
reactionRemoved(reaction, user, emojisList, channel_Id);
});
client.on("interactionCreate", (interaction) => {
if (interaction.isChatInputCommand) {
if (interaction.commandName === "order") {
console.log("order");
}
}
});
async function main() {
const commands = [
commandManger,
rolesCommand,
usersCommand,
channelsCommand,
banCommand,
];
try {
console.log("starting commands");
await rest.put(Routes.applicationGuildCommands(CLIENT_ID, GUILD_ID), {
body: commands,
});
} catch (err) {
console.log(err);
}
}
main();
Cannot read properties of undefined (reading 'messages')
|
876e5436e812a73d708f1e315a792e38
|
{
"intermediate": 0.25780412554740906,
"beginner": 0.42986613512039185,
"expert": 0.3123297095298767
}
|
13,406
|
I have asp.net core mvc application. My form is postbacked for a long time. How do I increase timeout for a client because client get timeout exception at the moment
|
2bbb2876defa0f02eff2103a963f5749
|
{
"intermediate": 0.515069305896759,
"beginner": 0.26740503311157227,
"expert": 0.2175256311893463
}
|
13,407
|
import sys
stdin_fileno = sys.stdin
# Keeps reading from stdin and quits only if the word 'exit' is there
# This loop, by default does not terminate, since stdin is open
for line in stdin_fileno:
# Remove trailing newline characters using strip()
if 'exit' == line.strip():
print('Found exit. Terminating the program')
exit(0)
else:
print('Message from sys.stdin: ---> {} <---'.format(line)) what is the type of stdin_fileno and why the for loop here never ends
|
9f335a203dfc0c5a247d9f40b622d885
|
{
"intermediate": 0.1627916842699051,
"beginner": 0.7819408178329468,
"expert": 0.05526744946837425
}
|
13,408
|
hello
|
3192e659e1981d504d1e74b5c7ec517c
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
13,409
|
ant design icon. нужна иконка похожая на жесткий диск
|
b5d8044815f8f4d505ab0f8b71bd22e5
|
{
"intermediate": 0.33134064078330994,
"beginner": 0.279998779296875,
"expert": 0.38866057991981506
}
|
13,410
|
file:///D:/Home/discord%20bots/vtuber-assistant-aki/src/reaction-manger/reactionRemove.js:11
message.reactions.cache.add(reaction); // add the reaction to the message’s cache
^
TypeError: Cannot read properties of undefined (reading 'cache')
at reactionRemoved (file:///D:/Home/discord%20bots/vtuber-assistant-aki/src/reaction-manger/reactionRemove.js:11:23)
at Client.<anonymous> (file:///D:/Home/discord%20bots/vtuber-assistant-aki/src/index.js:60:3)
at Client.emit (node:events:513:28)
at MessageReactionRemove.handle (D:\Home\discord bots\vtuber-assistant-aki\node_modules\discord.js\src\client\actions\MessageReactionRemove.js:39:17)
at module.exports [as MESSAGE_REACTION_REMOVE] (D:\Home\discord bots\vtuber-assistant-aki\node_modules\discord.js\src\client\websocket\handlers\MESSAGE_REACTION_REMOVE.js:4:40)
at WebSocketManager.handlePacket (D:\Home\discord bots\vtuber-assistant-aki\node_modules\discord.js\src\client\websocket\WebSocketManager.js:354:31)
at WebSocketManager.<anonymous> (D:\Home\discord bots\vtuber-assistant-aki\node_modules\discord.js\src\client\websocket\WebSocketManager.js:238:12)
at WebSocketManager.emit (D:\Home\discord bots\vtuber-assistant-aki\node_modules\@vladfrangu\async_event_emitter\dist\index.js:282:31)
at WebSocketShard.<anonymous> (D:\Home\discord bots\vtuber-assistant-aki\node_modules\@discordjs\ws\dist\index.js:1103:51)
at WebSocketShard.emit (D:\Home\discord bots\vtuber-assistant-aki\node_modules\@vladfrangu\async_event_emitter\dist\index.js:282:31)
|
7912b50700d72aebe9113988f08ddc0d
|
{
"intermediate": 0.41507360339164734,
"beginner": 0.31062906980514526,
"expert": 0.2742973268032074
}
|
13,411
|
flink code example
|
1de8d4519078f47e3b43bb186242b1e4
|
{
"intermediate": 0.3488922119140625,
"beginner": 0.272108793258667,
"expert": 0.3789990246295929
}
|
13,412
|
Can you make an AutoHotkey script, so that when i press Space it will loop 2 key presses: Enter then type "Spam"
|
ea71e8957984d668d9e78c6f549d8df2
|
{
"intermediate": 0.2865867018699646,
"beginner": 0.4596780240535736,
"expert": 0.2537353038787842
}
|
13,413
|
I have a request in chrome developer console. it has certain things that are taken from previous requests.
how do i track the whole chain automatically and push the code into python?
I want to do in request only what is necessary for a particular request. but this query contains values from other queries and it's too hard to track it manually.
|
bedb9a16ce7f5aa53018c68151f455bb
|
{
"intermediate": 0.5553905367851257,
"beginner": 0.3015981614589691,
"expert": 0.14301136136054993
}
|
13,414
|
how to run tkinter and also the pyqt5 in different processes
|
40314b56a2d626672cde8b45eb900537
|
{
"intermediate": 0.568906307220459,
"beginner": 0.11633918434381485,
"expert": 0.3147544860839844
}
|
13,415
|
give code for eda on this dataset using matplotlib ,seaborn and plotly and write possible conclusion for each visualization
artist song duration_ms explicit year popularity danceability energy key loudness mode speechiness acousticness instrumentalness liveness valence tempo genre
0 Britney Spears Oops!...I Did It Again 211160 False 2000 77 0.751 0.834 1 -5.444 0 0.0437 0.3000 0.000018 0.3550 0.894 95.053 pop
1 blink-182 All The Small Things 167066 False 1999 79 0.434 0.897 0 -4.918 1 0.0488 0.0103 0.000000 0.6120 0.684 148.726 rock, pop
2 Faith Hill Breathe 250546 False 1999 66 0.529 0.496 7 -9.007 1 0.0290 0.1730 0.000000 0.2510 0.278 136.859 pop, country
3 Bon Jovi It's My Life 224493 False 2000 78 0.551 0.913 0 -4.063 0 0.0466 0.0263 0.000013 0.3470 0.544 119.992 rock, metal
4 *NSYNC Bye Bye Bye 200560 False 2000 65 0.614 0.928 8 -4.806 0 0.0516 0.0408 0.001040 0.0845 0.879 172.656 pop
|
abf38a7ca67b53d0a5bd7026f8f3335b
|
{
"intermediate": 0.5573036074638367,
"beginner": 0.19950976967811584,
"expert": 0.2431865632534027
}
|
13,416
|
i still dont get it… why did SQL returned a long column woth “1” every raw when I gave it this: select count(*)
FROM Production.Product
group by name
|
424071deb8626b181e04a1cdf33de106
|
{
"intermediate": 0.46855223178863525,
"beginner": 0.2698073983192444,
"expert": 0.2616403102874756
}
|
13,417
|
Hallo
|
38d012cef7bee00fd595dbb1bf3f7466
|
{
"intermediate": 0.3504951000213623,
"beginner": 0.2534025311470032,
"expert": 0.3961023688316345
}
|
13,418
|
how do i resolve these conflicts
Error: Transaction test error:
file /usr/share/drirc.d/00-radv-defaults.conf from install of mesa-vulkan-drivers-23.1.2-1.fc38.x86_64 conflicts with file from package mesa-dri-drivers-22.1.0-0.3.20220328.35.81039fe.fc35.x86_64
file /usr/share/drirc.d/00-radv-defaults.conf from install of mesa-vulkan-drivers-23.1.2-1.fc38.x86_64 conflicts with file from package mesa-dri-drivers-22.1.0-0.3.20220328.35.81039fe.fc35.i686
file /usr/share/drirc.d/00-radv-defaults.conf from install of mesa-vulkan-drivers-23.1.2-1.fc38.i686 conflicts with file from package mesa-dri-drivers-22.1.0-0.3.20220328.35.81039fe.fc35.x86_64
file /usr/share/drirc.d/00-radv-defaults.conf from install of mesa-vulkan-drivers-23.1.2-1.fc38.i686 conflicts with file from package mesa-dri-drivers-22.1.0-0.3.20220328.35.81039fe.fc35.i686
|
7cd0c5de6e3e4a06865120c7dbc5748a
|
{
"intermediate": 0.5100472569465637,
"beginner": 0.2792744040489197,
"expert": 0.2106783092021942
}
|
13,419
|
How to find video in Firefox cache
|
ab1720de9f251547dccb075628d72cea
|
{
"intermediate": 0.2883070707321167,
"beginner": 0.27846211194992065,
"expert": 0.43323084712028503
}
|
13,420
|
import sys
import time
stdout_fileno = sys.stdout
sample_input = [‘Hi’, ‘Hello from AskPython’, ‘exit’]
while(1):
stdout_fileno.write(‘Hi’ + ‘\n’)
stdout_fileno.flush()
time.sleep(0.1). what is the role of flush here, is the string written to disk or somewhere?
|
8309dc97b06070cc00e2bc98bba018a4
|
{
"intermediate": 0.6250330805778503,
"beginner": 0.2232408970594406,
"expert": 0.15172603726387024
}
|
13,421
|
how to get reaction from the message discord js
|
da7acabce3fa84a94e3980a1dd7219f4
|
{
"intermediate": 0.26985424757003784,
"beginner": 0.2984657883644104,
"expert": 0.431679904460907
}
|
13,422
|
can you write me a C++ script for walking in my unity game?
|
f70baeef394407e09846013823b20767
|
{
"intermediate": 0.32710689306259155,
"beginner": 0.4039948582649231,
"expert": 0.26889821887016296
}
|
13,423
|
in minecarft java edition. can you run multiple commands using a single command block?
|
d6b3eb523ba3271c333a01055e51f1a1
|
{
"intermediate": 0.5093167424201965,
"beginner": 0.22552375495433807,
"expert": 0.2651594877243042
}
|
13,424
|
can you write me python code for an AI that can beat levels in geometry dash?
|
c0c2a294f30ecc53356e090b228e1add
|
{
"intermediate": 0.1832987368106842,
"beginner": 0.08005791902542114,
"expert": 0.7366434335708618
}
|
13,425
|
other ways to do thread-safe sharing data
|
4ed4f0f601c434f37d8cca1a96e88bb7
|
{
"intermediate": 0.4701358675956726,
"beginner": 0.16171520948410034,
"expert": 0.3681489825248718
}
|
13,426
|
List<Clients> clientsList = new List<Clients>();
Invoke((MethodInvoker)(() =>
{
lock (Settings.LockListviewClients)
{
foreach (ListViewItem itm in listView1.Items)
{
new HandleLogs().Addmsg(itm.SubItems.Count().ToString(), Color.Red);
clientsList.Add((Clients)itm.Tag);
}
}
})); get all element of item
|
b756e64856bf0ff1ee483cd5aba113ec
|
{
"intermediate": 0.3765982687473297,
"beginner": 0.379158079624176,
"expert": 0.24424365162849426
}
|
13,427
|
the tech lead is requesting that a primary key of the user table should be the primary key for the student... does that make sense?
|
d093a60e56e9997862e8fd54fd1f3dee
|
{
"intermediate": 0.2870677709579468,
"beginner": 0.20120353996753693,
"expert": 0.5117286443710327
}
|
13,428
|
client.on("ready", async () => {
const guild = await client.guilds.fetch(GUILD_ID);
const channel = guild.channels.cache.get(channel_Id );
const message = await channel.messages.fetch(messageID);
console.log(`${client.user.tag} has logged IN`);
}); I want to cache the messages
|
08b0d0aebf2a78afdb320e21ebda3f99
|
{
"intermediate": 0.3863961696624756,
"beginner": 0.3382422924041748,
"expert": 0.2753615379333496
}
|
13,429
|
help me solve this c# error:
You cannot set Visibility or call Show, ShowDialog or WindowInteropHelper.EnsureHandle after a Window element has been closed.
Source -> PresentationFramework
StackTrace ->
in System.Windows.Window.VerifyCanShow()
in System.Windows.Window.ShowDialog()
TargetSite -> Void VerifyCanShow()
|
f072a8b2aa8c4a0ccc44850759e735f4
|
{
"intermediate": 0.8668838739395142,
"beginner": 0.07359854131937027,
"expert": 0.05951758101582527
}
|
13,430
|
hi
|
74a221b1bf2f138d75176bc0b9353969
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
13,431
|
Whitelabel Error Page
This application has no explicit mapping for /error, so you are seeing this as a fallback.
There was an unexpected error (type=Not Found, status=404).
In this html:!DOCTYPE html>
<html lang="en" xmlns:th="http://www.w3.org/1999/xhtml">
<head>
<meta charset="UTF-8">
<title>Create user</title>
</head>
<body>
<form action="#" th:action="@{/ListCreateUser}" th:object="${user}" method="post">
<label for="firstName">First name</label>
<input type="text" th:field="*{firstName}" id="firstName" placeholder="First Name">
<label for="lastName">Last name</label>
<input type="text" th:field="*{lastName}" id="lastName" placeholder="Last Name">
<input type="submit" value="Create User">
</form>
</body>
</html>
|
1c2347ea20f7362bdd7c55fce78c3263
|
{
"intermediate": 0.38380977511405945,
"beginner": 0.2845138907432556,
"expert": 0.33167633414268494
}
|
13,432
|
hi there
|
b3f978306ce42b0bfbb9fac6b728f9de
|
{
"intermediate": 0.32885003089904785,
"beginner": 0.24785484373569489,
"expert": 0.42329514026641846
}
|
13,433
|
Convert an integer to a two decimal floating number in python 3
|
1cb4834ea72d792a0206e3832ff41c6a
|
{
"intermediate": 0.378237247467041,
"beginner": 0.24621790647506714,
"expert": 0.37554481625556946
}
|
13,434
|
No value given for one or more required parameters.
|
298196ba51f6d7c7c49fb1e1f30b34df
|
{
"intermediate": 0.3574827313423157,
"beginner": 0.31487002968788147,
"expert": 0.32764720916748047
}
|
13,435
|
<!DOCTYPE html>
<html lang="en" xmlns:th="http://www.w3.org/1999/xhtml">
<head>
<meta charset="UTF-8">
<title>Users</title>
</head>
<body>
<div th:switch="${users}">
<h2 th:case="null">No users found!</h2>
<div th:case="*">
<h2>Users</h2>
<table>
<thead>
<tr>
<th>Id</th>
<th>First name</th>
<th>Last name</th>
</tr>
</thead>
<tbody>
<tr th:each="user : ${users}">
<td th:text="${user.id}"></td>
<td th:text="${user.firstName}"></td>
<td th:text="${user.lastName}"></td>
<td><a th:href="@{ListUpdateUser/{id}(id=${user.id})}">Edit</a></td>
<td><a th:href="@{user-delete/{id}(id=${user.id})}">Delete</a></td>
</tr>
</tbody>
</table>
</div>
<p><a href="/ListUserCreate">Create user</a></p>
</div>
</body>
</html> <!DOCTYPE html>
<html lang="en" xmlns:th="http://www.w3.org/1999/xhtml">
<meta charset="UTF-8">
<title>Create user</title>
<body>
<form action="#" th:action="@{/ListUpdateUser}" th:object="${user}" method="post">
<label for="id">ID</label>
<input readonly type="number" th:field="*{id}" id="id" placeholder="ID">
<br/>
<label for="firstName">First name</label>
<input type="text" th:field="*{firstName}" id="firstName" placeholder="First Name">
<br/>
<label for="lastName">Last name</label>
<input type="text" th:field="*{lastName}" id="lastName" placeholder="Last Name">
<br/>
<input type="submit" value="Update User">
</form>
</body>
</html> <!DOCTYPE html>
<html lang="en" xmlns:th="http://www.w3.org/1999/xhtml">
<head>
<meta charset="UTF-8">
<title>Create user</title>
</head>
<body>
<form action="#" th:action="@{/ListCreateUser}" th:object="${user}" method="post">
<label for="firstName">First name</label>
<input type="text" th:field="*{firstName}" id="firstName" placeholder="First Name">
<label for="lastName">Last name</label>
<input type="text" th:field="*{lastName}" id="lastName" placeholder="Last Name">
<input type="submit" value="Create User">
</form>
</body>
</html>
@Controller
public class UserController {
private final UserService userService;
@Autowired
public UserController(UserService userService) {
this.userService = userService;
}
@GetMapping("/users")
public String findAll(Model model){
List<User> users = userService.findAll();
model.addAttribute("users", users);
return "ListUser";
}
@GetMapping("/ListCreateUser")
public String createUserForm(User user){
return "ListCreateUser";
}
@PostMapping("/ListCreateUser")
public String createUser(User user){
userService.saveUser(user);
return "redirect:/users";
}
@GetMapping("user-delete/{id}")
public String deleteUser(@PathVariable("id") Long id){
userService.deleteById(id);
return "redirect:/users";
}
@GetMapping("/ListUpdateUser/{id}")
public String updateUserForm(@PathVariable("id") Long id, Model model){
User user = userService.findById(id);
model.addAttribute("user", user);
return "ListUpdateUser";
}
@PostMapping("/ListUpdateUser")
public String updateUser(User user){
userService.saveUser(user);
return "redirect:/users";
}
}
Whitelabel Error Page
This application has no explicit mapping for /error, so you are seeing this as a fallback.
Sat Jun 24 18:46:36 MSK 2023
There was an unexpected error (type=Not Found, status=404).
|
c2ee6329439d102dd1b40a77b988bb20
|
{
"intermediate": 0.31341633200645447,
"beginner": 0.5746533274650574,
"expert": 0.11193031817674637
}
|
13,436
|
I have the following code #load the data
library(readxl)
library(dplyr)
#loading the raw data
#setwd("C:/Users/defaultuser0.LAPTOP-10STVJBB/Desktop/R")
raw_data = read_excel('dataFA.xlsx')
#feature engineering. The SS variable are the correlations between the real
#averages (faces/numbers/weighted average) and subject's estimation. We defined summary statistics
#(SS) performance with correlation (and nor RMSD for example) to avoid constant biases in
#subject's estimations(that are observed in RMSD, but avoided in correlations)
my_data = raw_data %>%
group_by(as.factor(sub_num))%>%
summarise(WADD = mean(WADD_Acc),WADD_rule = mean(WADDrule_Acc),
SS_faces = cor(real_Average_faces,sub_response_faces),
SS_AA = cor(real_Average_AA,sub_response_AA),
SS_WA3 = cor(real_Weighted_WA3,sub_response_WA3),
SS_WA4 = cor(real_Weighted_WA4,sub_response_WA4))%>%
ungroup()
my_data = my_data[2:7]
#ridge regression to predict job candidate performance from the averaging tasks perfomances
#pca
library(caret)
library(leaps)
library(rsample)
library(recipes)
library(yardstick)
library(tidyverse)
library(recipes)
library(psych)
library(parameters)
library(performance)
# PCA ---------------------------------------------------------------------
## How many components? ---------------------
pca_my_data = my_data
n <- n_factors(pca_my_data)
# This function calls many methods, e.g., nFactors::nScree... Read the doc!
as.data.frame(n) # Different methods...
### Scree plot --------------------
# Visually:
scree(pca_my_data, factors = FALSE, pc = TRUE) # = 2
# 2/5 seems to be supported by the elbow method,
# and 5 by the Kaiser criterion.
num_of_factore = mean(n$n_Factors)
### %Variance accounted for --------------------
PCA_params <- principal_components(pca_my_data, n = num_of_factore)
PCA_params_summary <- summary(PCA_params) |>
# Clean up...
column_to_rownames("Parameter") |>
datawizard::data_rotate() |>
rownames_to_column("Component") |>
mutate(
Component = factor(Component, levels = Component)
)
ggplot(PCA_params_summary, aes(Component, Variance_Cumulative)) +
geom_point() +
geom_line(aes(group = NA)) +
geom_hline(yintercept = 0.90)
# Or 16....
## Extract component scores ----------------------
### With parameters ---------------------
PCA_model <- attr(PCA_params, "model")
PCs <- predict(PCA_model, newdata = my_data) # returns all PCs
WADD_C = my_data$WADD
PCs_df = data.frame(PCs)
PCs_df$WADD=WADD_C
# 1) Split to train and test. use 0.7 for the train data
set.seed(1234)
splits_PCA <- initial_split(PCs_df, prop = 0.7)
my_data.train_PCA <- training(splits_PCA)
my_data.test_PCA <- testing(splits_PCA)
rec <- recipe(WADD ~ ., data = my_data.train_PCA) |>
step_range(all_numeric_predictors())
tg <- expand.grid(alpha = c(seq(0, 1, length.out = 25)),
lambda = exp(seq(-8, -4, length.out = 40)))
tc <- trainControl(method = "cv", number = 5)
mod.elastic <- train(
x = rec,
data = my_data.train_PCA,
method = "glmnet",
tuneGrid = tg,
trControl = tc
)
plot(mod.elastic, xTrans = log)
# The best tuning are: alpha - 1, lamda - 0.0074
mod.elastic$results$RMSE
my_data.test$pred.elastic <-
predict(mod.elastic, newdata = my_data.test)
mod.elastic$results$RMSE
my_metrics <- metric_set(rsq, rmse)
my_metrics(my_data.test, truth = WADD, estimate = pred.elastic) # rsq = 0.138, RMSE = 0.0417
mod.elastic$pred.elastic <- ifelse(is.nan(mod.elastic$pred.elastic), NA, mod.elastic$pred.elastic)
mod.elastic <- na.omit(mod.elastic)
lambda =mod.elastic$bestTune$lambda # = 0.0024
alpha =mod.elastic$bestTune$alpha # = 0
coefficients <- coef(mod.elastic$finalModel, s = lambda)
coefficients - and I'm not 100% sure what to do next. I geuss I need to normelize my data and then rotated the PCA components, But I have no clue how to do it or what to do next. please generate this code for me.
|
833df6dc05117983170c3397d71b2492
|
{
"intermediate": 0.49940377473831177,
"beginner": 0.305221825838089,
"expert": 0.19537441432476044
}
|
13,437
|
const TOKEN =
localStorage.getItem("persist:root") &&
JSON.parse(JSON.parse(localStorage.getItem("persist:root")).user).currentUser
.accessToken;
Argument of type 'string | null' is not assignable to parameter of type 'string'.
Type 'null' is not assignable to type 'string'.ts(2345)
|
d00c8f74bc48082ef6f8f9bc3983be28
|
{
"intermediate": 0.3604460060596466,
"beginner": 0.3321657180786133,
"expert": 0.3073883056640625
}
|
13,438
|
Best react jsx sorting criteria
|
9d07987e35df45dce4036607599e4a3b
|
{
"intermediate": 0.29073309898376465,
"beginner": 0.2736619710922241,
"expert": 0.4356049597263336
}
|
13,439
|
#include <iostream>
#include <string>
#include "ncurses.h"
// Additional helpers
class Point2D {
public:
Point2D (uint8_t x = 0, uint8_t y = 0) {
this -> x = x;
this -> y = y;
}
void SetX (uint8_t x) {
this -> x = x;
}
void SetY (uint8_t y) {
this -> y = y;
}
uint8_t GetX () {
return this -> x;
}
uint8_t GetY () {
return this -> y;
}
private:
uint8_t x, y;
};
class Entity {
public:
Entity (wchar_t Symbol = L' ') {
SetSymbol (Symbol);
setcchar (&this -> Presentation, &this -> Symbol, this -> Attributes, 0, NULL);
}
void SetName (std::string Name) { this -> Name = Name; }
void SetAttributes (attr_t Attributes) { this -> Attributes = Attributes; }
void SetSymbol (wchar_t Symbol) { this -> Symbol = Symbol; }
std::string GetName () { return Name; }
attr_t GetAttributes () { return this -> Attributes; }
wchar_t GetSymbol () { return this -> Symbol; }
private:
wchar_t Symbol;
cchar_t Presentation;
attr_t Attributes = A_NORMAL;
std::string Name = std::string();
// CollisionLayer
};
class Tile : public Entity {
public:
Tile () : Entity() {
}
Tile (Point2D WorldPosition, std::string Name) : Entity() {
}
~Tile () { }
void CheckFlags () {
}
void SetPosition (Point2D WorldPosition) { this->WorldPosition = WorldPosition; }
void SetName (std::string Name) { this->Name = Name; }
void SetVisible (bool Visible) { this->Visible = Visible; }
void SetControlable (bool Control) { this->Control = Control; }
Point2D GetPosition () { return this -> WorldPosition; }
bool GetVisible () { return this -> Visible; }
bool GetControlable () { return this -> Control; }
std::string GetName () { return Name; }
private:
bool Interact, Visible, Control, Solid;
std::string Name = std::string();
Point2D WorldPosition;
};
class Layer {
public:
Layer(std::string Name, Point2D Size, Point2D Position) {
SetSize(Size);
SetPosition(Position);
this -> TileLayer = new Tile *[GetSize().GetX()];
for (int i = 0; i < GetSize().GetX(); i++)
this -> TileLayer [i] = new Tile [GetSize().GetY()];
}
~Layer() {
for (int i = 0; i < GetSize().GetX(); i++)
delete [] this -> TileLayer [i];
delete [] this -> TileLayer;
}
void AddTile (Tile Cell, Point2D Position = NULL) {
TileLayer [Position.GetX()][Position.GetY()] = Cell;
}
void FillMapByTile (Tile Cell) {
for (int i = 0; i < GetSize().GetX(); i++) {
for (int j = 0; j < GetSize().GetY(); j++) {
TileLayer [i][j] = Cell;
}
}
}
Tile GetTileByPos (Point2D Position) {
return TileLayer[Position.GetX()][Position.GetY()];
}
void SetSize (Point2D Size) { this -> Size = Size; }
void SetPosition (Point2D Position) { this -> Position = Position; }
Point2D GetSize () { return this -> Size; }
Point2D GetPosition () { return this -> Position; }
private:
Tile **TileLayer;
std::string Name = std::string();
Point2D Position;
Point2D Size;
bool CollisionLayer;
};
class Player : Tile {
public:
Player (Point2D WorldPosition, std::string Name, char Character) : Tile (WorldPosition, Name) {
SetName(Name);
SetPosition(WorldPosition);
SetControlable(true);
}
~Player () {
}
private:
};
int main() {
initscr();
refresh();
getch();
endwin();
return 0;
}
|
955a642d135686e446d67db971bd5d40
|
{
"intermediate": 0.37298524379730225,
"beginner": 0.4425685405731201,
"expert": 0.18444621562957764
}
|
13,440
|
I have the following code #load the data
library(readxl)
library(dplyr)
#loading the raw data
#setwd(“C:/Users/defaultuser0.LAPTOP-10STVJBB/Desktop/R”)
raw_data = read_excel(‘dataFA.xlsx’)
#feature engineering. The SS variable are the correlations between the real
#averages (faces/numbers/weighted average) and subject’s estimation. We defined summary statistics
#(SS) performance with correlation (and nor RMSD for example) to avoid constant biases in
#subject’s estimations(that are observed in RMSD, but avoided in correlations)
my_data = raw_data %>%
group_by(as.factor(sub_num))%>%
summarise(WADD = mean(WADD_Acc),WADD_rule = mean(WADDrule_Acc),
SS_faces = cor(real_Average_faces,sub_response_faces),
SS_AA = cor(real_Average_AA,sub_response_AA),
SS_WA3 = cor(real_Weighted_WA3,sub_response_WA3),
SS_WA4 = cor(real_Weighted_WA4,sub_response_WA4))%>%
ungroup()
my_data = my_data[2:7]
#ridge regression to predict job candidate performance from the averaging tasks perfomances
#pca
library(caret)
library(leaps)
library(rsample)
library(recipes)
library(yardstick)
library(tidyverse)
library(recipes)
library(psych)
library(parameters)
library(performance)
# PCA ---------------------------------------------------------------------
## How many components? ---------------------
pca_my_data = my_data
n <- n_factors(pca_my_data)
as.data.frame(n)
coefficients <- coef(mod.elasticfinalModel, s = lambda)
coefficients - and I’m not 100% sure what to do next. I geuss I need to normelize my data and then rotated the PCA components, But I have no clue how to do it or what to do next. please generate this code for me.
|
6c0c1d2563ecce5a4e624127293cc544
|
{
"intermediate": 0.39091140031814575,
"beginner": 0.2664906084537506,
"expert": 0.34259799122810364
}
|
13,441
|
i write abbok about “Mastering Java: The Comprehensive Guide to Building High-Performance Applications” can you descripe Exception Handling
|
14d78ba6d14ad0af9bebb225f173bd9d
|
{
"intermediate": 0.5043500661849976,
"beginner": 0.2666669487953186,
"expert": 0.22898298501968384
}
|
13,442
|
function App() {
const admin = useSelector((state) => state.user.currentUser.isAdmin);
return (
<Router>
<Switch>
<Route path="/login">
<Login />
</Route>
{admin && (
<>
<Topbar />
<div className="container">
<Sidebar />
<Route exact path="/">
<Home />
</Route>
<Route path="/users">
<UserList />
</Route>
<Route path="/user/:userId">
<User />
</Route>
<Route path="/newUser">
<NewUser />
</Route>
<Route path="/products">
<ProductList />
</Route>
<Route path="/product/:productId">
<Product />
</Route>
<Route path="/newproduct">
<NewProduct />
</Route>
</div>
</>
)}
</Switch>
</Router>
);
}
make it in v6 react router
|
502978ebd2b23978bca128bbafca6a88
|
{
"intermediate": 0.3028997480869293,
"beginner": 0.3536044657230377,
"expert": 0.34349578619003296
}
|
13,443
|
get all reaction on message with specific id discord js
|
3dad052baea6f8cd3ddfd96ef5bac0d4
|
{
"intermediate": 0.33936813473701477,
"beginner": 0.3022635579109192,
"expert": 0.35836830735206604
}
|
13,444
|
Привет, в Android Kotlin у меня есть xml файл под названием "background":
<?xml version="1.0" encoding="utf-8"?>
<shape xmlns:android="http://schemas.android.com/apk/res/android"
android:shape="rectangle">
<gradient
android:angle="45"
android:startColor="@color/purple_500"
android:endColor="@color/purple_200"
android:type="linear"/>
</shape>
У меня еще есть два XML файла, где я хочу использовать этот фон, но хочу разные цвета применить, как такое сделать можно ?
|
f78a17ff82966a6e99a022f662d2063f
|
{
"intermediate": 0.3661031424999237,
"beginner": 0.3030591905117035,
"expert": 0.3308376371860504
}
|
13,445
|
test
|
a9578d21ff2dc3fdd5b3904e57d835bc
|
{
"intermediate": 0.3229040801525116,
"beginner": 0.34353747963905334,
"expert": 0.33355844020843506
}
|
13,446
|
come up with several effective solutions using javascript code that intended for launching from bookmark while target webpage is open, and saving all the cache files, namely those appearing in the network tabs of the browser console, into the standard "download" folder of the macos or setting those files' attributes to "locked"
|
dc83946776bb9421f27ff63bee1704e2
|
{
"intermediate": 0.36464035511016846,
"beginner": 0.14467033743858337,
"expert": 0.49068939685821533
}
|
13,447
|
come up several effective step by step solutions to save certain files that appearing in network tab of console in firefox and save those files, that is actually video segments into temp folder. one of these solutions is using automator in macos
|
d61dc703f2beadc5e764bc545fadd125
|
{
"intermediate": 0.38599514961242676,
"beginner": 0.21258249878883362,
"expert": 0.401422381401062
}
|
13,448
|
php, if text string long than 40 characters, just get first 40 characters and add "..." at then end, else get all characters. The text string may be Chinese character (double bytes)
|
b621015f915551256e87bdb8d3afb915
|
{
"intermediate": 0.4466012120246887,
"beginner": 0.2019362896680832,
"expert": 0.35146254301071167
}
|
13,449
|
python code for graph network of individuals and interactions in agile method
|
c71755fc84196e499b1428411d8a8522
|
{
"intermediate": 0.40393969416618347,
"beginner": 0.23006469011306763,
"expert": 0.3659956157207489
}
|
13,450
|
terminal command to set locked attribute to all files in the standard download folder of macos that are added there earlier than 5 minutes ago
|
826eb2c9a9edfaa59d9da0493f164ca1
|
{
"intermediate": 0.3682216703891754,
"beginner": 0.1899835467338562,
"expert": 0.44179481267929077
}
|
13,451
|
update state in tab bar view flutter
|
09d180ee87e116de5a439824c7257e06
|
{
"intermediate": 0.35320544242858887,
"beginner": 0.26310616731643677,
"expert": 0.38368844985961914
}
|
13,452
|
terminal command to set locked attribute to all files in the standard download folder of macos that are added there earlier than 5 minutes ago
There is no direct terminal command to do this. However, you can use a combination of find and xargs commands to achieve this.
Assuming the standard download folder is ~/Downloads, and the time limit is 5 minutes:
find ~/Downloads -maxdepth 1 -type f -mmin +5 | xargs chmod +w
Explanation:
- find ~/Downloads: searches for files in the Downloads folder
- -maxdepth 1: limits the search to only the top level of the directory (i.e., does not search subdirectories)
- -type f: searches only for files (not directories)
- -mmin +5: searches for files modified more than 5 minutes ago
- | xargs chmod +w: passes the list of files found by find to the chmod command, which adds write permission to each file (making it read-only, or “locked”)
Note: This command will prompt you to confirm before making changes to each file. To skip the prompt, add “-f” (force) option to the chmod command:
find ~/Downloads -maxdepth 1 -type f -mmin +5 | xargs chmod -f +w . HOWEVER NOTHING HAPPENS
|
8b3efff4500b19625eea0d35a5b469c9
|
{
"intermediate": 0.30499961972236633,
"beginner": 0.2787581980228424,
"expert": 0.41624215245246887
}
|
13,453
|
build me the python code for multilateral netting using fully homomorphic encryption
|
15b71049c646303622d91be40a969e23
|
{
"intermediate": 0.3541834354400635,
"beginner": 0.05816274881362915,
"expert": 0.5876538157463074
}
|
13,454
|
build me the python code for multilateral algorithm using concrete numpy
|
cdc4dc5302e759a3ea0ea7254c8d7270
|
{
"intermediate": 0.36513179540634155,
"beginner": 0.04746932163834572,
"expert": 0.587398886680603
}
|
13,455
|
name me the library for FHE used by Duality Tech
|
3f5a0da22b151cc85b71f2c9db684754
|
{
"intermediate": 0.6945756673812866,
"beginner": 0.1224304810166359,
"expert": 0.18299390375614166
}
|
13,456
|
print "|" separated list of files in current dir in terminal
|
aeb1d6a6041073f28ea6454e84457b72
|
{
"intermediate": 0.37955525517463684,
"beginner": 0.22926408052444458,
"expert": 0.39118072390556335
}
|
13,457
|
make the same command with not certain files listed in command, but with all files that are larger than 400kb in current folder ffmpeg -i “concat:0.ts|1.ts|2.ts|3.ts|5.ts|6.ts|7.ts|8.ts” -c copy output.mp4
|
a69248acacd125d98a5e94745b7315f6
|
{
"intermediate": 0.3548157215118408,
"beginner": 0.24351343512535095,
"expert": 0.4016708433628082
}
|
13,458
|
/Applications/ffmpeg -i "concat:$(find /Downloads/film/ -type f -size +990k -print | tr '\n' '|')" -c copy output.mp4 error: concat:: No such file or directory
|
7edbe43104067e34a559a420ace7ae6a
|
{
"intermediate": 0.359719842672348,
"beginner": 0.2982270419597626,
"expert": 0.3420531153678894
}
|
13,459
|
hi, the following ansible task returns an error message, the task is - name: Remove AutoConfigURL registry value
win_shell: |
$username = "{{ username }}"
$pass = ConvertTo-SecureString -asplaintext
$Credential = new-object -typename system.Management.Automation.PSCredential -ArgumentList $username,$pass
$registry_key = "{{ registry_key }}"
$registry_value_name = "{{ registry_value_name }}"
$ErrorActionPreference = "Stop"
Remove-ItemProperty -Path $registry_key -Name $registry_value_name -Credential $Credential
tags:
- disable
|
d21188a2c49e5a472405364b7f7b6bbb
|
{
"intermediate": 0.2613086402416229,
"beginner": 0.4348788857460022,
"expert": 0.30381250381469727
}
|
13,460
|
write a java source code Project 3 - Movie Manager:
- Use basic syntax and data types to create a movie management system that can store and retrieve movie information.
- Implement control flow and looping using conditional statements and loops to display the movie information in a user-friendly manner.
- Use object-oriented programming concepts to create Movie and MovieManager classes that encapsulate the movie information and management functionality.
- Define appropriate methods and variables in the Movie and MovieManager classes to store and retrieve movie details.
- Handle exceptions such as invalid inputs using exception handling techniques.
- Use input and output methods to display the movie details and prompt the user for input.
|
da29ac86a96c355299b137b640fef7fd
|
{
"intermediate": 0.15078097581863403,
"beginner": 0.7915332913398743,
"expert": 0.0576857253909111
}
|
13,461
|
i have a spring boot web app for the authN, I am using CAS sso. i have problem now with https
|
b69e03d506044539b5840194b0a4c7ec
|
{
"intermediate": 0.38388389348983765,
"beginner": 0.26542437076568604,
"expert": 0.35069170594215393
}
|
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