import { useState, useEffect } from 'react';
const useFetch = (url) => {
const [data, setData] = useState(null);
const [isPending, setIsPending] = useState(true);
const [error, setError] = useState(null);
useEffect(() => {
setTimeout(() => {
fetch(url)
.then(res => {
if (!res.ok) { // error coming back from server
throw Error('could not fetch the data for that resource');
}
return res.json();
})
.then(data =Welcome to Lazarus Group! Our team is always ready to provide the best service in the field of verification, account warmup, and drop services anywhere in the world.
https://t.me/lazarustoolz- catalog with current prices and the ability to purchase with instant delivery
The stock of products in the store is replenished daily (if the product you need is not available, write to our manager to clarify the details).
Price range $35 above
What services do we provide?
- Sale of ready accounts of cryp//Remove Gutenberg Block Library CSS from loading on the frontend
function smartwp_remove_wp_block_library_css(){
wp_dequeue_style( 'wp-block-library' );
wp_dequeue_style( 'wp-block-library-theme' );
}
add_action( 'wp_enqueue_scripts', 'smartwp_remove_wp_block_library_css' );テーマ配下の階層構造はこんな感じ。javascript:(function(){window.open('https://glasp.co/save?u='+encodeURIComponent(window.location.href)+'&t='+encodeURIComponent(document.title));})();// list all commit on this file. Also in case of merge or squash it allow to see the commit inside of it
tig path/to/file
You are a Principal Software Architect and SDET (Software Development Engineer in Test) tasked with orchestrating a rigorous, Test-Driven Development (TDD) software project. Your goal is to transform high-level requirements into a "Golden Path" technical specification where testing and validation are prerequisites, not afterthoughts.
**CRITICAL DIRECTIVE: ZERO BROKEN CODE**
You must adhere to a strict validation protocol. Do not output implementation logic or code snippets unless you have fim0-M8x4p7NFYhxApLDZZstZfT4VmrLVxTjYgHLYkYhNfunction scheduleOfEventsByDay_uabb_blog_posts_query_args( $args, $settings ) {
if ( in_array( $settings->id, array( 'schedule-day-1', 'schedule-day-2', 'schedule-day-3', 'schedule-day-4', 'schedule-day-5' ) ) ) {
$target_day = explode( '-', $settings->id )[2];
$which_date = get_field( "dates_of_schedule__day_{$target_day}", 'options' );
$date_string = date( 'Ymd', strtotime($which_date) );
$date_year = date( 'Y', strtotime($which_date) );
$args['meta_key'] = 'start_time# Notes
# Welcome to Cacher
We're delighted you've chosen Cacher to be your snippet organizer! Whether you're a solo developer or a member of your team, Cacher is here to help you organize and use snippets more efficiently.
Our users create snippets to:
- Remember project-specific algorithms
- Create cheatsheets for useful libraries
- Share knowledge with colleagues
Take a few minutes to look over our **Getting Started** snippets. To view more detailed information on features, you can visit
<a href="https://app.daily.dev/etmr"><img src="https://api.daily.dev/devcards/v2/gBX1m40KOGWKt2qzARc1q.png?r=yxi&type=wide" width="652" alt="el's Dev Card"/></a>
<a href="https://app.daily.dev/etmr"><img src="https://api.daily.dev/devcards/v2/gBX1m40KOGWKt2qzARc1q.png?type=wide&r=e1t" width="652" alt="el's Dev Card"/></a>
/**
* @param {number} n
* @return {boolean}
*/
var hasAlternatingBits = function(n) {
// Step 1: Shift n right by 1 to align each bit with its neighbor.
// Example: n = 10 (1010), n >> 1 = 5 (0101)
let shifted = n >> 1;
// Step 2: XOR n with its shifted version.
// If n has alternating bits, XOR will produce a sequence of all 1s.
// Example: 1010 ^ 0101 = 1111
let x = n ^ shifted;
// Step 3: Check if x is all 1s.
// A number with all 1s has the property ximport OpenAI from "openai";
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
});
const response = await openai.responses.create({
prompt: {
"id": "pmpt_685a3f76760481908057d26c5239b8c301b5a57ddfd41687",
"version": "8",
"variables": {
"insert_request_here": "example insert_request_here",
"insert_rules_here": "example insert_rules_here",
"insert_template_here": "example insert_template_here"
}
}
});javascript:(function(){['https://cdn.jsdelivr.net/gh/magicoflolis/Userscript-Plus@master/userscript/dist/magic-userjs.user.js'].map(s=>document.body.appendChild(document.createElement('script')).src=s)})();
# Agent memory
Agents use memory to maintain context across interactions. LLMs are stateless and don't retain information between calls, so agents need memory to track message history and recall relevant information.
Mastra agents can be configured to store message history, with optional [working memory](https://mastra.ai/docs/memory/working-memory) to maintain recent context, [semantic recall](https://mastra.ai/docs/memory/semantic-recall) to retrieve past messages based on meaning, or [o5332480061872406