assertEquals("1.0 GB", format.format(1000L * 1000L * 1000L));
        assertEquals("5.5 GB", format.format(5500L * 1000L * 1000L));
        assertEquals("10 GB", format.format(10L * 1000L * 1000L * 1000L));
        assertEquals("15 GB", format.format(15L * 1000L * 1000L * 1000L));
        assertEquals("1000 GB", format.format(1000L * 1000L * 1000L * 1000L));
    }

    @Test

                Arguments.of(1000L * 1000L * 1000L, "1.0 GB"),
                Arguments.of(5500L * 1000L * 1000L, "5.5 GB"),
                Arguments.of(10L * 1000L * 1000L * 1000L, "10 GB"),
                Arguments.of(15L * 1000L * 1000L * 1000L, "15 GB"),
                Arguments.of(1000L * 1000L * 1000L * 1000L, "1000 GB"));
    }

    @ParameterizedTest
    @MethodSource("sizeTestData")

 */
package org.apache.maven.cling.transfer;

import org.apache.maven.api.services.MessageBuilder;

/**
 * Formats file size with the associated <a href="https://en.wikipedia.org/wiki/Metric_prefix">SI</a> prefix
 * (GB, MB, kB) and using the patterns <code>#0.0</code> for numbers between 1 and 10
 * and <code>###0</code> for numbers between 10 and 1000+ by default.
 *

而多個行程通常「不共享記憶體」。這表示每個執行中的行程都有自己的東西、變數與記憶體。如果你的程式碼會用掉大量記憶體，「每個行程」都會消耗等量的記憶體。

### 伺服器記憶體 { #server-memory }

例如，如果你的程式碼載入一個「1 GB 大小」的機器學習模型，當你用一個行程執行你的 API，它就會至少吃掉 1 GB 的 RAM。若你啟動「4 個行程」（4 個 workers），每個會吃 1 GB RAM。總計你的 API 會吃掉「4 GB RAM」。

如果你的遠端伺服器或虛擬機只有 3 GB RAM，嘗試載入超過 4 GB 的 RAM 就會出問題。🚨

### 多個行程 - 範例 { #multiple-processes-an-example }

在這個例子中，有一個「管理行程（Manager Process）」會啟動並控制兩個「工作行程（Worker Processes）」。

    private static final String ANSI_DARK_RESET = ESC + "[0m";

    // CHECKSTYLE_OFF: LineLength
    /**
     * Formats file size with the associated <a href="https://en.wikipedia.org/wiki/Metric_prefix">SI</a> prefix
     * (GB, MB, kB) and using the patterns <code>#0.0</code> for numbers between 1 and 10
     * and <code>###0</code> for numbers between 10 and 1000+ by default.
     *

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

 */
package org.apache.maven.cli.transfer;

import org.apache.maven.api.services.MessageBuilder;

/**
 * Formats file size with the associated <a href="https://en.wikipedia.org/wiki/Metric_prefix">SI</a> prefix
 * (GB, MB, kB) and using the patterns <code>#0.0</code> for numbers between 1 and 10
 * and <code>###0</code> for numbers between 10 and 1000+ by default.
 *

        void shouldHandleTypicalFileSystemSizes() {
            // Test common file system sizes
            long[] typicalSizes = { 1024L * 1024L * 1024L, // 1 GB
                    1024L * 1024L * 1024L * 10L, // 10 GB
                    1024L * 1024L * 1024L * 100L, // 100 GB
                    1024L * 1024L * 1024L * 1024L, // 1 TB
                    1024L * 1024L * 1024L * 1024L * 10L // 10 TB
            };

EAKN,WAARuyB,IACJM,GAAe/xB,GAAOwgB,IAAKhgB,EAAMixB,EAAMxR,EAAW/gB,IAAK,EAAMyyB,IAIxDD,GAmBQ,YAARD,IACJK,GAAS9xB,GAAOwgB,IAAKhgB,EAAM,UAAYyf,EAAW/gB,IAAK,EAAMyyB,IAIjD,WAARF,IACJK,GAAS9xB,GAAOwgB,IAAKhgB,EAAM,SAAWyf,EAAW/gB,GAAM,SAAS,EAAMyyB,MAtBvEG,GAAS9xB,GAAOwgB,IAAKhgB,EAAM,UAAYyf,EAAW/gB,IAAK,EAAMyyB,GAGhD,YAARF,EACJK,GAAS9xB,GAAOwgB,IAAKhgB,EAAM,SAAWyf,EAAW/gB,GAAM,SAAS,EAAMyyB,GAItEE,GAAS7xB,GAAOwgB,IAAKhgB,EAAM,SAAWyf,EAAW/gB,GAAM,SAAS,EAAMyyB,IAoCzE,OAhBMD,GAA8B,GAAfE,IAIpBE,GAAS5uB,KAAK...

        assertEquals("/path/", item.getPath());
        assertEquals("", item.getEncodedId());
    }

    public void test_largeFileSize() {
        final long largeSize = 10737418240L; // 10 GB
        final StorageItem item = new StorageItem("large-file.zip", "/backups/", false, largeSize, null, "bGFyZ2UtZmlsZS56aXA=");

        assertEquals(largeSize, item.getSize());
    }

    public void test_rootPath() {