static final int IN = 0x0001;
    static final int A = 0x0001;
    static final int NS = 0x0002;
    static final int NULL = 0x000a;

    static final int HEADER_LENGTH = 12;

    // header field offsets
    static final int OPCODE_OFFSET = 2;
    static final int QUESTION_OFFSET = 4;
    static final int ANSWER_OFFSET = 6;
    static final int AUTHORITY_OFFSET = 8;
    static final int ADDITIONAL_OFFSET = 10;

    static final int IN = 0x0001;
    static final int A = 0x0001;
    static final int NS = 0x0002;
    static final int NULL = 0x000a;

    static final int HEADER_LENGTH = 12;

    // header field offsets
    static final int OPCODE_OFFSET = 2;
    static final int QUESTION_OFFSET = 4;
    static final int ANSWER_OFFSET = 6;
    static final int AUTHORITY_OFFSET = 8;
    static final int ADDITIONAL_OFFSET = 10;

            }

            /*
             * no point in calling readParameterWordsWireFormat if there are no more
             * parameter words. besides, win98 doesn't return "OptionalSupport" field
             */

            if (wordCount > 2) {
                readParameterWordsWireFormat(buffer, bufferIndex + 4);

                /* The SMB_COM_NT_CREATE_ANDX response wordCount is wrong. There's an

        public TestSmbComTransactionResponse(Configuration config, byte command, byte subcommand) {
            super(config, command, subcommand);
        }

        // Expose errorCode setter for testing - access protected field directly
        public void setTestErrorCode(int code) {
            this.errorCode = code;
        }

        @Override
        protected int writeSetupWireFormat(byte[] dst, int dstIndex) {

その場合は、標準の `dataclasses` を `pydantic.dataclasses` に置き換えるだけで済みます。これはドロップイン置換です:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. 依然として標準の `dataclasses` から `field` をインポートします。

2. `pydantic.dataclasses` は `dataclasses` のドロップイン置換です。

3. `Author` dataclass は `Item` dataclass のリストを含みます。

4. `Author` dataclass を `response_model` パラメータとして使用しています。

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

вы получите текстовую версию:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

### Переопределите обработчик ошибок `HTTPException` { #override-the-httpexception-error-handler }

			return err
		}
	} else {
		// Evaluate the (only) argument
		val, err = e.SFunc.ArgsList[0].evalNode(r, tableAlias)
		if err != nil {
			return err
		}
	}

	if val.IsNull() {
		// E.g. the column or field does not exist in the
		// record - in all such cases the aggregation is not
		// updated.
		return nil
	}

	argVal := val
	if funcName != aggFnCount {
		// All aggregation functions, except COUNT require a

這種情況下，你可以使用「自訂驗證函式」，它會在一般驗證之後套用（例如先確認值是 `str` 之後）。

你可以在 `Annotated` 中使用 [Pydantic 的 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) 來達成。

/// tip | 提示

Pydantic 也有 [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) 等等。🤓

///

Deployment-related operations.
     * Behavior change:
        * Deployment creates ReplicaSets instead of ReplicationControllers.
        * Scale subresource now has a new <code>targetSelector</code> field in its status. This field supports the new set-based selectors supported
by Deployments, but in a serialized format.
     * Spec change:

            return 4000;
        }
    }

    /**
     * Parses and validates field filter parameters from the request.
     * Only configured label values are accepted to prevent query injection.
     *
     * @param request the HTTP request
     * @return a map of field names to their validated filter values
     */