* Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.
* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.

```JSON
{
    "detail": [
        {
            "loc": [
                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

↩️ ➡ 🔢 `item_id` ✔️ 💲 `"foo"`, ❔ 🚫 `int`.

	if sf.UpperBound > 0 && sz > int64(sf.UpperBound) {
		return false
	}

	if sf.LowerBound > 0 && sz < int64(sf.LowerBound) {
		return false
	}
	return true
}

// Validate checks if sf is a valid batch-job size filter
func (sf BatchJobSizeFilter) Validate() error {
	if sf.LowerBound > 0 && sf.UpperBound > 0 && sf.LowerBound >= sf.UpperBound {
		return BatchJobYamlErr{
			line: sf.line,
			col:  sf.col,

	var e error
	cred.scope.date, e = time.Parse(yyyymmdd, credElements[0])
	if e != nil {
		return ch, ErrMalformedCredentialDate
	}

	cred.scope.region = credElements[1]
	// Verify if region is valid.
	sRegion := cred.scope.region
	// Region is set to be empty, we use whatever was sent by the
	// request and proceed further. This is a work-around to address
	// an important problem for ListBuckets() getting signed with

	return ok && !strings.EqualFold(h.Get(xhttp.AmzServerSideEncryption), xhttp.AmzEncryptionKMS)
}

// ParseHTTP parses the SSE-S3 related HTTP headers and checks
// whether they contain valid values.
func (sses3) ParseHTTP(h http.Header) error {
	if h.Get(xhttp.AmzServerSideEncryption) != xhttp.AmzEncryptionAES {
		return ErrInvalidEncryptionMethod
	}
	return nil
}

	// HTTP request for testing when `objectLayer` is set to `nil`.
	// There is no need to use an existing bucket and valid input for creating the request
	// since the `objectLayer==nil`  check is performed before any other checks inside the handlers.

	b.err = io.ErrNoProgress
}

func (b *Reader) readErr() error {
	err := b.err
	b.err = nil
	return err
}

// Peek returns the next n bytes without advancing the reader. The bytes stop
// being valid at the next read call. If Peek returns fewer than n bytes, it
// also returns an error explaining why the read is short. The error is
// [ErrBufferFull] if n is larger than b's buffer size.
//

}

// IsValidObjectPrefix verifies whether the prefix is a valid object name.
// Its valid to have a empty prefix.
func IsValidObjectPrefix(object string) bool {
	if hasBadPathComponent(object) {
		return false
	}
	if !utf8.ValidString(object) {
		return false
	}
	if strings.Contains(object, `//`) {
		return false
	}
	// This is valid for AWS S3 but it will never

            UnsignedInts.parseUnsignedInt(overflowAsString, radix);
          });
    }
  }

  public void testParseIntThrowsExceptionForInvalidRadix() {
    // Valid radix values are Character.MIN_RADIX to Character.MAX_RADIX,
    // inclusive.
    //
    // Note: According to the spec, a NumberFormatException is thrown for a number that is not

So, `0.5` would be a valid value. But `0.0` or `0` would not.

And the same for <abbr title="less than"><code>lt</code></abbr>.

//// tab | Python 3.9+

```Python hl_lines="13"