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package org.example.sparknlp;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class SparkNlpApplication {
	public static void main(String[] args) {
		SpringApplication.run(SparkNlpApplication.class, args);
	}

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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
	<modelVersion>4.0.0</modelVersion>
	<parent>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-parent</artifactId>
		<version>2.3.3.RELEASE</version>
		<relativePath/> <!-- lookup parent from repository -->
	</parent>

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  //component state
  const [{ data:initialData, isBusy:isLoading, hasError:loadingFailed, errorMessage:loadingError }, dispatch] = useReducer(
    createActionReducer<Recipe[]>(),
    { isBusy: true, hasError: false }
  );
  const [{ data:updatedData, isBusy:isUpdating, hasError:updateFailed, errorMessage:updateError }, dispatch] = useReducer(
    createActionReducer<Recipe[]>(),
    { isBusy: false, hasError: false }
  );

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  //component state
  const [{ data, isBusy, hasError, errorMessage }, dispatch] = useReducer(
    createActionReducer<Recipe[]>(),
    { isBusy: true, hasError: false }
  );

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export type ActionState<T> = {
  data?: T;
  isBusy: boolean;
  hasError: boolean;
  errorMessage?: string;
};

export type ActionResult<T> =
  | { type: "busy" }
  | { type: "success"; result: T }

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import { Recipe } from "../api";

export type LoadRecipesActionState = {
  recipe?: Recipe[];
  isLoading: boolean;
  loadingFailed: boolean;
  loadingError?: string;
};

export type LoadRecipesActionResult =

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  //component state
  const [{ recipes, isLoading, loadingFailed, loadingError }, dispatch] = useReducer(
    createLoadRecipesReducer(), { isLoading: true, loadingFailed: false }
  );
  
  //load data
  useEffect(() => {
    dispatch({ type: "busy" });
    api.getRecipes().then(response => {
        dispatch({ type: "success", result: response.data });

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export const RecipeList = () => {
  
  //component state
  const [isLoading, setIsLoading] = useState(true);
  const [loadingFailed, setLoadingFailed] = useState(false);
  const [loadingError, setLoadingError] = useState("");
  const [recipes, setRecipes] = useState<Recipe[]>();

  //load data
  useEffect(() => {

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package test;

import org.apache.spark.ml.PipelineModel;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.Test;

import java.nio.file.Paths;

public class LoadPipelineTest {

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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>test-spark-nlp</groupId>
    <artifactId>test</artifactId>
    <version>1.0.0</version>