* or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

1) Use clear, concise technical Traditional Chinese consistent with existing docs.
2) Address the reader naturally (commonly using “你/你的”).

### Headings

1) Follow existing Traditional Chinese heading style (short and descriptive).
2) Do not add trailing punctuation to headings.

### Quotes and punctuation

   * - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;

   * - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;

#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```

// JvmCompilation instances control the way each source set is compiled -- most importantly,
// it controls the JVM version of the compilation. This allows each source set within a project
// to compile to different JVM versions.

val jvmCompile = extensions.create<JvmCompileExtension>(JvmCompileExtension.NAME)

jvmCompile.compilations.configureEach {

    }

    @ParameterizedTest
    @ValueSource(ints = { 0, 1, 10, 100, 500, 1024 })
    void testReadDataWireFormatVariousSizes(int dataSize) throws SMBProtocolDecodingException {
        // Test with various data sizes within buffer limit
        byte[] testData = new byte[dataSize];
        Arrays.fill(testData, (byte) 0xAB);
        byte[] buffer = new byte[dataSize + 100];
        System.arraycopy(testData, 0, buffer, 20, dataSize);

#### Additional documentation e.g., KEPs (Kubernetes Enhancement Proposals), usage docs, etc.:

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