## オプションの依存関係

Pydantic によって使用されるもの:

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - E メールの検証

Starlette によって使用されるもの:

- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - `TestClient`を使用するために必要です。

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

An example from the official Pydantic docs:

## Optionale Abhängigkeiten

Wird von Pydantic verwendet:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - für E-Mail-Validierung.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - für die Verwaltung von Einstellungen.

          <name>type</name>
          <version>1.0.0+</version>
          <type>String</type>
          <required>true</required>
          <description>
            The Java type for this parameter. This is used to validate the result of any expressions used to calculate
            the value which should be injected into the Mojo for this parameter.
          </description>
        </field>
        <field>
          <name>required</name>

 */
class CacheControl internal constructor(
  /**
   * In a response, this field's name "no-cache" is misleading. It doesn't prevent us from caching
   * the response; it only means we have to validate the response with the origin server before
   * returning it. We can do this with a conditional GET.
   *
   * In a request, it means do not use a cache to satisfy the request.
   */

        assertThrows(SMBProtocolDecodingException.class, () -> resp.decode(packet, 0));
    }

    @Test
    void decodesSrvCopyChunkCopyResponse() throws Exception {
        // Validate createOutputDecodable() mapping and Decodable decode
        byte[] header = buildHeader(NtStatus.NT_STATUS_SUCCESS);

        // Prepare 3 ints: chunksWritten=1, chunkBytesWritten=2, totalBytesWritten=3

Luego convertirá y validará los datos. Así que, cuando uses ese objeto `settings`, tendrás datos de los tipos que declaraste (por ejemplo, `items_per_user` será un `int`).

### Usar el `settings`

## ঐচ্ছিক নির্ভরশীলতা

Pydantic দ্বারা ব্যবহৃত:

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - ইমেল যাচাইকরণের জন্য।

স্টারলেট দ্বারা ব্যবহৃত:

- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - আপনি যদি `TestClient` ব্যবহার করতে চান তাহলে আবশ্যক।

## Opcionális követelmények

Pydantic által használt:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - e-mail validációkra.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére.

    @Test
    @DisplayName("Parse accepts non-zero outer tag numbers (current implementation behavior)")
    void testParseAcceptsNonZeroOuterTag() throws Exception {
        // Note: The current implementation does not validate the outer APPLICATION tag number
        // This test documents the actual behavior - any tag number is accepted
        byte[] token =