OS - Check OS

You can check the hosting operating system within a shell by using any of the following commands, depending on the system you're working on:

### For Linux or macOS:
1. **Basic OS Information:**
   ```bash
   uname -a
   ```
   This shows general system information, including the OS name, kernel version, and more.

2. **OS Version:**
   ```bash
   cat /etc/os-release
   ```
   This will give you detailed information about the operating system version and distribution (for Linux).

3. **Kernel Ve

VertexAI - Embeddings (Without LangChain)

[**Corresponding Doc**](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api?hl=fr#python)
PROJECT_ID = PROJECT_ID
REGION = "europe-west1"
MODEL_ID = MODEL_ID

import vertexai
from vertexai.language_models import TextEmbeddingModel

vertexai.init(project=PROJECT_ID, location=REGION)

model = TextEmbeddingModel.from_pretrained(MODEL_ID)
embeddings = model.get_embeddings(...)

LLM- Randomness in Embeddings and Retrieval Steps

☝️ There is some level of randomness involved in both the embedding and retrieval steps of a RAG (Retrieval-Augmented Generation) model, but the randomness can be controlled or reduced, depending on how the system is set up. Let me break it down step by step:

### 1. **Embedding Step**
In this step, the input (like a question or text) is transformed into a vector representation using an embedding model. This process is usually deterministic, meaning that for the same input, the same embedding

Find matching string from stored procedure

SELECT 
  OBJECT_NAME(object_id) AS name
  OBJECT_DEFINITION(object_id) AS Body
FROM
  sys.procedures
WHERE   
  OBJECT_DEFINITION(object_id) LIKE '%ALEX%'
  
SELECT * FROM DOCVIEWER.INFORMATION_SCHEMA.ROUTINES
WHERE ROUTINE_TYPE = 'PROCEDURE'
AND LEFT (ROUTINE_NAME, 3) IN ('sp_','usp_','usp')

變更資料庫擁有者

-- 無法改變使用者’dbo’, 錯誤: 15150

USE [資料庫名稱]
GO 

-- db owner修改為’sa’。
sp_changedbowner 'sa'
GO

UIの一覧

※AIによる出力

# UI一覧表

| カテゴリ | 要素名 | 説明 |
|---------|-------|------|
| ナビゲーション | ハンバーガーメニュー | 3本の水平線アイコン。タップするとメニューが展開 |
| | タブバー | 画面下部に固定されたナビゲーションバー |
| | サイドドロワー | 画面端からスライドインするメニュー |
| | ブレッドクラム | 現在位置を示す階層リンク |
| | ボトムシート | 画面下部から上にスライドするパネル |
| コンテンツ表示 | 無限スクロール | コンテンツを下にスクロールすると自動的に追加読み込み |
| | プルトゥリフレッシュ | 画面を下に引っ張ってコンテンツを更新 |
| | カード型レイアウト | 情報をカードのような矩形で表示 |
| | アコーディオン/折りたたみパネル | クリックで展開/折りたたみ可能なコンテンツパネル |
| | キャルーセル/スライダー | 横スワイプでコンテンツを切り替えられる表示形式 |
| 入力と操作 | フローティングアク

ADV POST Query Mod > related events to location & SHORTCODE: [does-location-have-events]

/*
 * Advanced Query Parameters filtering for UABB Posts module
 */ 
function relatedEventsToLocations_uabb_blog_posts_query_args( $args, $settings ) {
	// NOTE: Give the UABB Advanced Post module an id in the Advanced tab.
	//  * Verify it before modifying arguments so that this query-mod will not change other blog post modules on the site.
	if ( $settings->id == 'cs--related-events-to-location' ) {
		global $post;
		$categories = get_the_terms( $post->ID, 'location-category' );
		$whi

LLM - EMBEDDINGS - Maximum Marginal Relevance

Sure! Let's break it down step by step.

### 1. **Context: Embeddings and Similarity**
In the context of embeddings, we're usually trying to find items (like documents, sentences, etc.) that are *similar* to a given query or other items. Embeddings represent text (or other data) as points in a high-dimensional space, where similar items are close together.

A common task is to retrieve the most relevant documents to a query based on their embeddings. One way to do this is by calculating the

Dotnet Core Functional Testing

using System;
using System.Collections.Generic;
using System.Linq;
using System.Net.Http;
using System.Threading.Tasks;
using LaunchDarkly.Sdk.Server.Interfaces;
using Microsoft.AspNetCore.Authentication;
using Microsoft.AspNetCore.Hosting;
using Microsoft.AspNetCore.Mvc.Testing;
using Microsoft.EntityFrameworkCore;
using Microsoft.EntityFrameworkCore.Storage;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.DependencyInjection;
using Xunit;

namespace Testing;

[Collection("

test

test

2220. Minimum Bit Flips to Convert Number

A bit flip of a number x is choosing a bit in the binary representation of x and flipping it from either 0 to 1 or 1 to 0. For example, for x = 7, the binary representation is 111 and we may choose any bit (including any leading zeros not shown) and flip it. We can flip the first bit from the right to get 110, flip the second bit from the right to get 101, flip the fifth bit from the right (a leading zero) to get 10111, etc. Given two integers start and goal, return the minimum number of bit flips to convert start to goal.
/**
 * @param {number} start
 * @param {number} goal
 * @return {number}
 */
var minBitFlips = function(start, goal) {
    // XOR the start and goal to find the bits that are different
    let xor = start ^ goal;

    // Initialize the count of bit flips
    let count = 0;

    // Count the number of 1s in the XOR result
    while (xor > 0) {
        // Increment count if the last bit is 1
        count += xor & 1;

        // Right shift xor by 1 to check the next bit
        xor >>= 1;
    }

codersetembro

888BC7B3A0E96FD8345DBDC592
177DD5403656
[BACKUP0]
888BC7B3A0E96FD8345DBDC592

WordPress PHP 8.3

FROM php:8.3-apache

RUN a2enmod rewrite headers

# persistent dependencies
RUN set -eux; \
	apt-get update; \
	apt-get install -y --no-install-recommends ghostscript

# libraries
RUN set -ex && apt-get update && apt-get install -y --no-install-recommends \
    libfreetype6-dev \
    libicu-dev \
    libjpeg-dev \
    libmagickwand-dev \
    libpng-dev \
    libwebp-dev \
    libzip-dev \
    libavif-dev

# install the PHP extensions we need (https://make.wordpress.org/hosting/handbook/handbook/

NOTU - M1

inicio{
"host":"/quK7vErb85fxQU3yvJ59408MQc=",
"portacmd":"ULQvCQXg3W/hLenk",
"portaimg":"EWJm+sxUWkCNMe9m",
"pronto":"RlUKy4l8k2P+NI0=",
"ipv":"T7fcOpUzbaUY",
"contador":"NQ94eFYrUXQ8ICWR+el2Mt+eghAqTcGkhgGvXM0VDlLF4OdoZqjeW3g4B3UG6L6vxOvRoQ==",
"chaveid":"6P2ZSN81aoCCVYoh",
"spammer":"Uvd+Uqx2Oj/BN/s="
}fim