Cacher is the code snippet organizer for pro developers

#region Get-SMSAdvertisement
function Get-SMSAdvertisement {
    [CmdletBinding()]
    PARAM(
        [Alias('PKG_PackageID')]
        [Parameter(Mandatory = $false, Position = 0, ValueFromPipeline = $true, ValueFromPipelineByPropertyName = $true)]
        [string]
        $PackageId
        ,
        [Alias('PRG_ProgramName')]
        [Parameter(Mandatory = $false, Position = 1, ValueFromPipeline = $true, ValueFromPipelineByPropertyName = $true)]
        [string]
        $ProgramNam

function Get-CMSoftwareDistribution {
    [CmdletBinding()]
    PARAM(
        [Alias('PKG_Name')]
        [Parameter(Mandatory = $false, Position = 0, ValueFromPipeline = $true, ValueFromPipelineByPropertyName = $true)]
        [string]
        $PackageName
        ,
        [Alias('PKG_PackageID')]
        [Parameter(Mandatory = $false, Position = 0, ValueFromPipeline = $true, ValueFromPipelineByPropertyName = $true)]
        [string]
        $PackageId
        ,
        [Alias(

inicio{
"host":"xDcfvkSd1hQO+cImKe/PSrvAGcrn",
"porta":"CbyZhQEGptRObG41",
"contador":"krQqWumIrKDFKctwXE6AAbfE1I+XrbGxd9mbC5va7fuB596ttH/vFbNeVUUyQmsjDUc=",
"spammer":"qysQeuDipKwWO7ONRg=="
}fim

# MACOS技巧
## 允许任何来源
输入命令
```
sudo spctl --master-disable
```
然后打开`系统设置` -> `隐私与安全性` -> `安全性`下的`允许以下来源的应用程序` -> `任何来源`

$breakpoint-up: (
  xs: 0px,
  sm: 640px,
  md: 768px,
  lg: 1025px,
  xl: 1280px,
  2xl: 1536px
);

$breakpoint-down: (
  xs: 639px,
  sm: 767px,
  md: 1024px,
  lg: 1279px,
  xl: 1535px
);

@mixin breakpoint-up($size) {
  @media (min-width: map-get($breakpoint-up, $size)) {
    @content;
  }
}

@mixin breakpoint-down($size) {
  @media (max-width: map-get($breakpoint-down, $size)) {
    @content;
  }
}

@mixin breakpoint-between($lower, $upper) {
  @media (min-widt

https://playwright.dev/docs/api/class-page#page-get-by-role-option-role

List of Some Common HTML Elements and Their Implicit ARIA Roles
Here are some HTML elements and the implicit ARIA roles they map to (per HTML-AAM spec): 

| HTML Element                        | Implicit ARIA Role                                                                           |
| ----------------------------------- | -------------------------------------------------------------------------------------------- |
| `<a href="…">`                      | `link` ([W3C][1])                  

# How to Enable or Disable Peer to Peer Connection in Viva Terminal App

## Overview

This guide will help you turn on or off the Peer to Peer connection feature in your Viva Terminal app. The Peer to Peer protocol (also known as 'Local Terminal API') allows Twine POS system to communicate with your card terminal device over the same network.

---

## Requirements

- Viva Terminal app installed on your Android device
- Access to the app's settings menu
- Both your terminal and ECR system must be

1. HR & Talent Acquisition (IT-focused)
HR Manager IT

Technical Recruiter

IT Recruiter

Talent Acquisition Specialist IT

HR Business Partner Technology

People Operations IT

Campus Recruiter IT

HR Generalist IT

2. IT Domain (General)
IT Specialist

IT Consultant

IT Project Manager

IT Support Engineer

IT Infrastructure Manager

Systems Administrator

Cloud Engineer

IT Operations Lead

3. Machine Learning / Deep Learning
Machine Learning Engineer

Deep Learning Engineer

AI Research Scie

/**
 * @param {number[]} nums
 * @return {number}
 */
var maxSumDivThree = function(nums) {
    // Step 1: Calculate the total sum of the array
    let totalSum = nums.reduce((acc, num) => acc + num, 0);

    // Step 2: If already divisible by 3, return it
    if (totalSum % 3 === 0) return totalSum;

    // Step 3: Separate numbers by their remainder when divided by 3
    let remainder1 = []; // numbers where num % 3 === 1
    let remainder2 = []; // numbers where num % 3 === 2

    for (let nu

# LangGraph Complete Study Notes

## 1. Core Concepts

### What is LangGraph?
- **Stateful graph framework** for building complex LLM workflows
- **Cyclic graphs** - supports loops and conditional flows
- **Built on LangChain** - integrates seamlessly with LCEL
- **Persistence** - save and resume workflows at any point

### Graph Types
- **StateGraph** - Main graph with typed state (most common)
- **MessageGraph** - Specialized for chat messages
- **WorkflowGraph** - Simple workflow

# LangChain
llms_chat_model, prompts,output_parsers, memory, chains, messages.py", rag_retrievers,
embedding, retrievers, runnables, callbacks, text_splitter, tools_toolkits, document_loader,
streaming.py", mcp_client,
        
# LangGraph

state, nodes, edges, checkpointer", persistence", workflows


# Langchain all important technique names

# LangChain Essential Techniques Reference

## 1. Prompts (Core Techniques)

### Must-Know
- **ChatPromptTemplate** - Primary template fo

# Notes

- Combine chat history and notes into a single markdown file.
- Note: Do not include unnecessary objects.
- Revise the notes file for a short, clear read.
- Correct only the prompt wording.

## List client

ls /etc/openvpn/easy-rsa/pki/issued/

## Delete client

su

cd /etc/openvpn/easy-rsa/

./easyrsa revoke client_to_delete

./easyrsa gen-crl

cp /etc/openvpn/easy-rsa/pki/crl.pem /etc/openvpn/

chmod 644 /etc/openvpn/crl.pem

systemctl restart openvpn

openssl crl -in /etc/openvpn/crl.pem -noout -text | grep -A1 "Revoked Certificates"

## Add client

./ubuntu-22.04-lts-vpn-server.sh

## Check certif expired 

openssl x509 -in /etc/openvpn/easy-rsa/pki/issued/server_*.crt -text -no

E STUDY THE RULES AND PUT THE DIRECT SPEECH INTO REPORTED SPEECH STARTING WITH "SHE SAID..."  REPORTED SPEECH  
1. "I’ve had better results than any other student on the program."  
She said, she had had better results...
2. "I saw you stealing money from the charity box and I’m going to report it right now."  
She said, she had seen you stealing money and she was going to report it right then
3. "We should do a sponsored run to raise money tomorrow."  
She said, we should do a sponsored run to 

def generate_correlation_report(df: pd.DataFrame, output_path: str = None) -> dict:
    """
    Generates a correlation metrics report:
    1. Strong correlations (>|0.80|)
    2. Very weak correlations (< 0.01)

    Optionally saves the report as JSON.

    Parameters
    ----------
    df : pd.DataFrame
        Input dataframe.
    output_path : str, optional
        File path to save JSON report.

    Returns
    -------
    dict
        Correlation summary report.
    """