# Prompt: Update Forgejo Issues, Milestones, and Timeline
## Objective
You are the project planning agent for the Infrastructure project hosted on Forgejo at
`git.cleverthis.com` in the repository `infrastructure/infrastructure`. Your job is to
review the current specification, codebase, and Forgejo issue tracker, then bring the
project's implementation task tracking fully up to date with the latest specification.
The project's work is tracked as **Forgejo issues** organized under **milestone# Prompt: Update Forgejo Issues, Milestones, and Timeline
## Objective
You are the project planning agent for the CleverErnie project hosted on Forgejo at
`git.cleverthis.com` in the repository `cleverernie/cleverernie-core`. Your job is to
review the current specification, codebase, and Forgejo issue tracker, then bring the
project's implementation task tracking fully up to date with the latest specification.
The implementation task tracking is represented as **Forgejo issues** organized und# Prompt: Continue Execution from Forgejo Issues
## Role
Acting as **[Your Name Here]** (Forgejo username: `[your_username]`), continue implementing
the CleverAgents project by working through Forgejo issues assigned to you in the repository
`cleveragents/cleveragents-core` on `git.cleverthis.com`.
For the purposes of git commits, use:
- Git user name: `[Insert Full Name Here]`
- Git email: `[email.name]@cleverthis.com`
When accessing the remote server (push, pull, clone), use HTTPS (not SSH/**
* @param {number[][]} mat
* @return {number}
*/
var numSpecial = function(mat) {
const m = mat.length;
const n = mat[0].length;
// Count how many 1s appear in each row
const rowCount = new Array(m).fill(0);
// Count how many 1s appear in each column
const colCount = new Array(n).fill(0);
// First pass: fill rowCount and colCount
for (let i = 0; i < m; i++) {
for (let j = 0; j < n; j++) {
if (mat[i][j] === 1) {
rowCount[# Le mode strict en Bash — `set -euo pipefail`
## Principe général
Le mode strict transforme le comportement par défaut de bash : au lieu de continuer silencieusement en cas de problème, le script **échoue tôt et fort**. Cela évite les exécutions partielles silencieuses, source de bugs difficiles à diagnostiquer.
```bash
set -euo pipefail
```
---
## Les trois options
### `-e` — Arrêt sur erreur
Sans `-e`, si une commande échoue (code de retour non-zéro), bash continue quand même.
```bash#include <Wire.h>
#include <Adafruit_VL53L0X.h>
#define SDA_PIN 42
#define SCL_PIN 41
#define VL53_INT_PIN 39 // GPIO за interrupt
#define VL53_XSHUT_PIN 40 // GPIO за XSHUT
Adafruit_VL53L0X lox = Adafruit_VL53L0X();
volatile bool newMeasurement = false;
void IRAM_ATTR measureReady() {
newMeasurement = true;
}
void setup() {
Serial.begin(115200);
delay(100);
Serial.println("VL53L0X + XSHUT + Interrupt demo");
// XSHUT HIGH за включване на сензора
pinMode(VL53_XSHUT_PIN, OUTPUT)<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<title>JS Bin</title>
</head>
<body>
<html>
<body>
<div class="gridTable">
<div> <!-- Header -->
<div>Timeclock.Kiwi</div>
<div>Payroll</div>
<div>Checked</div>
</div>
<div> <!-- Body -->
<div>
<div>Cat</div>
when have this error : Auth failed. Re-copy a tokenized URL with openclaw dashboard --no-open, or update the token, then click Connect.
1. get token cat ~/.openclaw/openclaw.json | grep "token"
2. copy the token in overview -> gateway Access -> Gateway token
if doesn't work use :
1. openclaw dashboard --no-open
2. access the like providedSELECT u.ID, u.user_login, u.user_email, u.user_registered, m.meta_value AS capabilities
FROM wpkagf_users u
JOIN wpkagf_usermeta m ON u.ID = m.user_id
WHERE m.meta_key = 'wpkagf_capabilities'
AND m.meta_value LIKE '%administrator%'
ORDER BY u.user_registered;# Next.js App Router: Suspense と Server Components
## Suspense で Server Component を wrap する目的
Server Component が非同期処理(データフェッチ等)を含む場合、その完了までページ全体のレンダリングがブロックされる。Suspense 境界で囲むことで、該当コンポーネントの処理完了を待つ間 `fallback` を表示しつつ、ページの残りを先行してクライアントへストリーミングできる。
```tsx
import { Suspense } from 'react';
export default function Page() {
return (
<div>
<h1>Dashboard</h1> {/* 即時レンダリング */}
<Suspense fallback={<Skeleton />}>
<SlowDataComponent /> {/* データ取得完了後にレンダリング */}
</Suspense>
// ==============================================
// タイトルタグのテーマサポートON
// ==============================================
add_action('after_setup_theme', function () {
add_theme_support('title-tag');
});.hoge {
--borderHeight: 1px; //ドット高さ
--dotSize: 3px; //ドットサイズ
--spaceSize: 2px; //ドット間の間隔サイズ
--dotColor: #000; //ドットカラー
position: relative;
padding-bottom:10px;
&::after {
content: "";
position: absolute;
bottom: 0;
left: 0;
width: 100%;
height: var(--borderHeight);
background-image: linear-gradient(to right, var(--dotColor) var(--dotSize), transparent var(--dotSize), transparent var(--spaceSize));
background-repeat: repeat-x;
background-position: left bottom;
(transferring all over the world except banned/blacklisted countries)
Paypal Transfer Rates :
Code:
(Payment Only BTC or PM)
$3000 Transfer = $250 Charges
$3500 Transfer = $230
$4500 Transfer = $400
$6000 Transfer = $500
$8000 Transfer = $550
I have some balance like as and I can still remit more high balance into PayPal acct.
BUY BLANK/CLONED ATM/Credit CARD WITH OVER $100,000 READY FOR CASH OUT
We are a professional carding team with a large ring around the globe. With over 2 Susant Kumar Sahoo
Data Scientist | AI/ML | NLP | Generative AI | MLOps
Phone No: +91 8917499565
Email: sahoosusa9999@gmail.com
LinkedIn: https://linkedin.com/in/susantkumarsahoo
GitHub: https://github.com/susantkumarsahoo
Professional Summary
Data Scientist with 4+ years of experience in Machine Learning, Deep Learning, and Generative AI. Expertise in classification, regression, clustering, Natural Language Processing (NLP), Transfer Learning, Large Language Models (LLMs), and MLOps.Subject: Seeking New Job Opportunity – Data Scientist
Hi Hiring Team,
I am exploring new job opportunities and would like to share my background with you.
I am a Data Scientist with over 4+ years of experience in Machine Learning, Deep Learning, and Generative AI. My expertise includes classification, regression, clustering, Natural Language Processing (NLP), Transfer Learning, Large Language Models (LLMs), and MLOps. I have a proven track record of applying data-driven decision-making /**
* @param {number[][]} grid
* @return {number}
*/
var minSwaps = function(grid) {
const n = grid.length;
// Step 1: For each row, compute the index of the rightmost 1.
// If a row has no 1s, store -1.
const rightmost = new Array(n).fill(0);
for (let i = 0; i < n; i++) {
let last = -1;
for (let j = 0; j < n; j++) {
if (grid[i][j] === 1) last = j;
}
rightmost[i] = last;
}
// Step 2: Greedily place rows from top to bot