# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Project Overview

curl4j is a simple cURL-like Java HTTP client library providing a fluent API for building HTTP requests. It's designed to be minimal with only Apache Commons IO as a dependency.

## Development Commands

### Build and Test
```bash
# Clean build and run tests
mvn clean test

# Full build with packaging

import org.codelibs.fess.crawler.Constants;
import org.codelibs.fess.crawler.entity.RequestData;
import org.codelibs.fess.crawler.entity.RequestData.Method;

/**
 * Builder class for creating RequestData objects using a fluent interface.
 * This class provides a simple way to construct RequestData objects with method chaining.
 *
 * <p>Usage example:</p>
 * <pre>
 * RequestData request = RequestDataBuilder.newRequestData()
 *     .method("GET")

- Add fish shell completion to kubectl. ([#92989](https://github.com/kubernetes/kubernetes/pull/92989), [@WLun001](https://github.com/WLun001))
- Add mechanism to load simple sniffer class into fluentd-elasticsearch image ([#92853](https://github.com/kubernetes/kubernetes/pull/92853), [@cosmo0920](https://github.com/cosmo0920))
- Add support for Portworx plugin to csi-translation-lib. Alpha release
  

- Fluentd: isolate logging resources in separate namespace `logging` ([#68004](https://github.com/kubernetes/kubernetes/pull/68004), [@saravanan30erd](https://github.com/saravanan30erd))

curl4j
[![Java CI with Maven](https://github.com/codelibs/curl4j/actions/workflows/maven.yml/badge.svg)](https://github.com/codelibs/curl4j/actions/workflows/maven.yml)
=====

A simple cURL-like Java HTTP client.

## Features

- Fluent API for building HTTP requests (GET, POST, PUT, DELETE, HEAD, OPTIONS, CONNECT, TRACE)
- Support for query parameters, headers, body (String or stream), compression, SSL configuration, proxies, and timeouts

        RequestData data = RequestDataBuilder.newRequestData().weight(2.5f).build();

        assertEquals(2.5f, data.getWeight(), 0.001f);
    }

    public void test_fluentApiChaining() {
        // Test fluent API method chaining
        RequestData data =
                RequestDataBuilder.newRequestData().method(Constants.GET_METHOD).url("https://example.com/page").weight(1.5f).build();

import com.google.common.primitives.Doubles;
import com.google.common.primitives.Ints;
import java.math.RoundingMode;
import java.util.Collection;
import java.util.LinkedHashMap;
import java.util.Map;

/**
 * Provides a fluent API for calculating <a
 * href="http://en.wikipedia.org/wiki/Quantile">quantiles</a>.
 *
 * <h3>Examples</h3>
 *
 * <p>To compute the median:
 *
 * {@snippet :
 * double myMedian = median().compute(myDataset);

                + facetResponse + "]";
    }

    /**
     * Builder class for constructing SearchResult instances using the builder pattern.
     *
     * This builder provides a fluent interface for setting the various properties
     * of a SearchResult before creating the final immutable instance.
     */
    static class SearchResultBuilder {

 * and cache file size to optimize the extraction process.
 *
 * <p>
 * The main purpose of this class is to simplify the extraction process by providing a fluent interface
 * for configuring the extraction parameters and handling the underlying complexities of content processing,
 * such as MIME type detection, extractor selection, and content length validation.
 * </p>
 *
 * <p>

 *   <li>Optionally removing duplicate terms based on a flag.</li>
 *   <li>Limiting the maximum size of alphanumeric and symbol terms.</li>
 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text
 * normalization process, including setting initial buffer capacity, maximum term sizes,
 * duplicate term removal, and custom space characters.
 *
 * <p>Example usage:
 * <pre>{@code