struct ThreadPoolOptions;
}
}  // namespace tsl

namespace tensorflow {

namespace thread {
using tsl::thread::ThreadPoolOptions;
}

/// @addtogroup core
/// @{

/// A `ClientSession` object lets the caller drive the evaluation of the
/// TensorFlow graph constructed with the C++ API.
///
/// Example:
///
///     Scope root = Scope::NewRootScope();
///     auto a = Placeholder(root, DT_INT32);

    ```

=== "Python 3.10 and above"

    ```Python hl_lines="15  20  25"
    {!> ../../../docs_src/path_operation_configuration/tutorial002_py310.py!}
    ```

Eles serão adicionados ao esquema OpenAPI e usados pelas interfaces de documentação automática:

<img src="/img/tutorial/path-operation-configuration/image01.png">

### Tags com Enums

}

func (c *nowritebarrierrecChecker) check() {
	// We walk the call graph as late as possible so we can
	// capture all calls created by lowering, but this means we
	// only get to see the obj.LSyms of calls. symToFunc lets us
	// get back to the ODCLFUNCs.
	symToFunc := make(map[*obj.LSym]*ir.Func)
	// funcs records the back-edges of the BFS call graph walk. It
	// maps from the ODCLFUNC of each function that must not have

	}
	borrow.ReturnAll()

	if claims.AccessKey == "" && claims.Subject == "" {
		return jwtgo.NewValidationError("accessKey/sub missing",
			jwtgo.ValidationErrorClaimsInvalid)
	}

	// Signature is valid, lets validate the claims for
	// other fields such as expiry etc.
	return claims.Valid()
}

// ParseUnverifiedStandardClaims - WARNING: Don't use this method unless you know what you're doing
//

Eles tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem que você execute tarefas em segundo plano em vários processos e, especialmente, em vários servidores.

	// for large sizes. The cutover is approximately 1K.  We implement up to
	// 128 because that is the maximum SSE register load (loading all data
	// into registers lets us ignore copy direction).
tail:
	// BSR+branch table make almost all memmove/memclr benchmarks worse. Not worth doing.
	TESTL	BX, BX
	JEQ	move_0
	CMPL	BX, $2
	JBE	move_1or2
	CMPL	BX, $4
	JB	move_3
	JE	move_4

	// lister can list/get quota objects from a shared informer's cache
	lister corev1listers.ResourceQuotaLister

	// liveLookups holds the last few live lookups we've done to help ammortize cost on repeated lookup failures.
	// This lets us handle the case of latent caches, by looking up actual results for a namespace on cache miss/no results.
	// We track the lookup result here so that for repeated requests, we don't look it up very often.
	liveLookupCache *lru.Cache

Mas quando você usa `example` ou `examples` com qualquer um dos outros utilitários (`Query()`, `Body()`, etc.) esses exemplos não são adicionados ao JSON Schema que descreve esses dados (nem mesmo para versão própria do OpenAPI do JSON Schema), eles são adicionados diretamente à declaração da *operação de rota* no OpenAPI (fora das partes do OpenAPI que usam o JSON Schema).

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

### `RequestValidationError` vs `ValidationError`

!!! warning "Aviso"
    Você pode pular estes detalhes técnicos caso eles não sejam importantes para você neste momento.

`RequestValidationError` é uma subclasse do <a href="https://docs.pydantic.dev/latest/#error-handling" class="external-link" target="_blank">`ValidationError`</a> existente no Pydantic.

			sum = sum + (fraction-mean)*(fraction-mean)
		}
		std = math.Sqrt(sum / float64(len(resourceToFractions)))
	}

	// STD (standard deviation) is always a positive value. 1-deviation lets the score to be higher for node which has least deviation and
	// multiplying it with `MaxNodeScore` provides the scaling factor needed.
	return int64((1 - std) * float64(framework.MaxNodeScore))