shortthirdman

# zing_hackathon.R
# Complete pipeline for classification of RFM category (Good vs Bad)
# - EDA, data cleaning, baseline models (logistic + decision tree)
# - Feature engineering, improved model, threshold tuning
# - Requires: tidyverse, janitor, caret, rpart, rpart.plot, MASS, pROC

# ----- Setup -----
options(stringsAsFactors = FALSE)
set.seed(123)  # reproducible

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pipeline {
    agent any
    
    stages {
        stage('Build') {
            steps {
                sh 'mvn clean package -DskipTests'
           }
       }
        

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import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import org.springframework.stereotype.Component;


@Aspect
@Component

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## --- Imports ---
import requests
import pandas as pd
import numpy as np
import yfinance as yf
from sklearn.tree import DecisionTreeClassifier, plot_tree
import matplotlib.pyplot as plt
import re

# --- Step 1: Download and save financial statements to Excel ---

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@RestController
@RequestMapping("/api/upload")
public class ChunkedUploadController {

    private final Path storagePath = Paths.get("uploads");

    @PostMapping("/chunk")
    public ResponseEntity<String> uploadChunk(
            @RequestParam("file") MultipartFile chunk,
            @RequestParam("chunkNumber") int chunkNumber,

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import java.util.*;
import java.util.stream.Collectors;

/**
 * TransactionType enum as an example.
 * In your challenge environment, this might be pre-defined.
 */
enum TransactionType {
    P2P,
    P2M,