# Parâmetros de Cookie

Você pode definir parâmetros de Cookie da mesma maneira que define paramêtros com `Query` e `Path`.

## Importe `Cookie`

Primeiro importe `Cookie`:

//// tab | Python 3.10+

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001_an_py39.py!}
```

////

class ClassLinkMetaDataTest extends Specification {

    public static final String SIMPLE_CLASSNAME = 'MyClass'
    public static final String METHOD_NAME = 'calculate'

    def "can define and look up overloaded methods"() {
        given:
        ClassMetaData classMetaData = new ClassMetaData("org.gradle.$SIMPLE_CLASSNAME")
        classMetaData.addMethod(METHOD_NAME, TypeMetaData.VOID, null)

	return Token{ScanToken: token, text: text}
}

func (l Token) String() string {
	return l.text
}

// A Macro represents the definition of a #defined macro.
type Macro struct {
	name   string   // The #define name.
	args   []string // Formal arguments.
	tokens []Token  // Body of macro.
}

// Tokenize turns a string into a list of Tokens; used to parse the -D flag and in tests.

// Implementation detail for the unified execution APIs for Eager and tracing
// backends (graph/MLIR).
//
// This defines a set of abstract classes that are intended to provide the
// functionality of the opaque C types exposed in the public APIs defined in the
// `c_api_unified_experimental.h` header.
// =============================================================================

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_

#include <memory>

#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_operation.h"

				// are in hex and half are in whatever the #define used.
				n.Const = fmt.Sprintf("%#x", i)
			} else if n.Define[0] == '\'' {
				if _, err := parser.ParseExpr(n.Define); err == nil {
					n.Kind = "iconst"
					n.Const = n.Define
				}
			} else if n.Define[0] == '"' {
				if _, err := parser.ParseExpr(n.Define); err == nil {
					n.Kind = "sconst"
					n.Const = n.Define
				}
			}

			if n.IsConst() {

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_CONTEXT_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_CONTEXT_H_

#include <memory>

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/c/eager/abstract_operation.h"

namespace tensorflow {

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_H_
#define TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_H_

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"

namespace tensorflow {

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_C_API_INTERNAL_H_
#define TENSORFLOW_C_EAGER_C_API_INTERNAL_H_

#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"

import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Java 5 annotation for describing service layer security attributes.
 *
 * <p>
 * The <code>Secured</code> annotation is used to define a list of security configuration
 * attributes for business methods.
 * <p>
 * For example:
 *
 * <pre>
 * &#064;Secured({ &quot;ROLE_USER&quot; })
 * public void create(Contact contact);
 *