* {@code ByteBuffer.allocate(2).putShort(value).array()}. For example, the input value {@code
   * (short) 0x1234} would yield the byte array {@code {0x12, 0x34}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

ফাংশনটি নিম্নলিখিত কাজ করে:

* `first_name` এবং `last_name` নেয়।
* প্রতিটির প্রথম অক্ষরকে `title()` ব্যবহার করে বড় হাতের অক্ষরে রূপান্তর করে।
* তাদেরকে মাঝখানে একটি স্পেস দিয়ে <abbr title="একটার পরে একটা একত্রিত করা">concatenate</abbr> করে।

```Python hl_lines="2"
{!../../docs_src/python_types/tutorial001.py!}
```

### এটি সম্পাদনা করুন

এটি একটি খুব সাধারণ প্রোগ্রাম।

কিন্তু এখন কল্পনা করুন যে আপনি এটি শুরু থেকে লিখছিলেন।

    /**
     * This class is used to read properties lines. These lines do
     * not terminate with new-line chars but rather when there is no
     * backslash sign a the end of the line.  This is used to
     * concatenate multiple lines for readability.
     */
    public static class PropertiesReader extends LineNumberReader {
        /** Stores the comment lines for the currently processed property.*/

   * {@code ByteBuffer.allocate(2).putChar(value).array()}. For example, the input value {@code
   * '\\u5432'} would yield the byte array {@code {0x54, 0x32}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * are not polled until necessary.
   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> to concatenate an arbitrary number of streams, use {@code
   * Stream.of(stream1, stream2, ...).flatMap(s -> s)}. If the sources are iterables, use {@code
   * Stream.of(iter1, iter2, ...).flatMap(Streams::stream)}.
   *

   * {@code ByteBuffer.allocate(4).putInt(value).array()}. For example, the input value {@code
   * 0x12131415} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * 0x1213141516171819L} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
   * 0x18, 0x19}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * 0x1213141516171819L} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
   * 0x18, 0x19}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

* add more logging for azure disk diagnostics ([#70012](https://github.com/kubernetes/kubernetes/pull/70012), [@andyzhangx](https://github.com/andyzhangx))
* Fluentd: concatenate long logs ([#68012](https://github.com/kubernetes/kubernetes/pull/68012), [@desaintmartin](https://github.com/desaintmartin))

*   Add a `tf.distribute.cluster_resolver.TPUClusterResolver.connect` API to
    simplify TPU initialization.
*   Add `tf.distribute.Strategy.gather` and
    `tf.distribute.ReplicaContext.all_gather` methods to gather and concatenate
    `tf.distribute.DistributedValues` across workers and devices.

### `tf.keras`:

*   Introduces experimental preprocessing layers API