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

👆 🔜 🤚 ✍ ⏬, ⏮️:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` 🆚 `ValidationError`

/// warning

)

// XL constants.
const (
	// XL metadata file carries per object metadata.
	xlStorageFormatFileV1 = "xl.json"
)

// Valid - tells us if the format is sane by validating
// format version and erasure coding information.
func (m *xlMetaV1Object) valid() bool {
	return isXLMetaFormatValid(m.Version, m.Format) &&
		isXLMetaErasureInfoValid(m.Erasure.DataBlocks, m.Erasure.ParityBlocks)
}

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

Ви отримаєте текстову версію:

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)
```

#### `RequestValidationError` проти `ValidationError`

    public TcpMemoryRegion(ByteBuffer buffer, EnumSet<RdmaAccess> access) {
        super(buffer, access);
    }

    @Override
    public void invalidate() {
        // No real invalidation needed for TCP
        valid = false;
    }

    @Override
    protected int generateLocalKey() {
        return keyGenerator.getAndIncrement();
    }

    @Override
    protected int generateRemoteKey() {

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo"
    }
  ]
}
```

because the path parameter `item_id` had a value of `"foo"`, which is not an `int`.

* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.

| Params        | Value                                              |
| :--           | :--                                                |
| *Type*        | *Integer*                                          |
| *Valid Range* | *Minimum value of 900. Maximum value of 31536000.* |
| *Required*    | *No*                                               |

### Policy

                                 n_ask_attempts=_DEFAULT_PROMPT_ASK_ATTEMPTS):
  """Loop over user prompts for an ENV param until receiving a valid response.

  For the env param var_name, read from the environment or verify user input
  until receiving valid input. When done, set var_name in the environ_cp to its
  new value.

  Args:
    environ_cp: (Dict) copy of the os.environ.

    steps:
      - name: Check out a copy of the repository
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0

      - name: Check whether the citation metadata from CITATION.cff is valid
        uses: citation-file-format/cffconvert-github-action@4cf11baa70a673bfdf9dad0acc7ee33b3f4b6084 # v2.0.0
        with:

            assertEquals(0, result);
        }
    }

    @Nested
    @DisplayName("readBytesWireFormat tests")
    class ReadBytesWireFormatTests {

        @Test
        @DisplayName("Should read valid structure with size 4")
        void testReadBytesWireFormatValid() throws SMBProtocolDecodingException {
            // Given
            byte[] buffer = new byte[10];
            int bufferIndex = 2;