///

```Python hl_lines="10"
{!> ../../docs_src/query_params_str_validations/tutorial003.py!}
```

////

## Add regular expressions

You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match:

//// tab | Python 3.10+

```Python hl_lines="11"

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

#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_

#include <cstdint>
#include <string>

#include "tensorflow/core/platform/status.h"

namespace tsl {
class CoordinationServiceAgent;
}

				// 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() {

# 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)

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

modifier, you must make sure the popper element\n   * has its position set to `absolute` before Popper.js can do its work!\n   *\n   * Just disable this modifier and define your own to achieve the desired effect.\n   *\n   * @memberof modifiers\n   * @inner\n   */\n  applyStyle: {\n    /** @prop {number} order=900 - Index used to define the order of execution */\n    order: 900,\n    /** @prop {Boolean} enabled=true - Whether the modifier is enabled or not */\n    enabled: true,\n    /** @prop {ModifierFn}...

-}} {{/* Determine name for scc role and rolebinding */}} {{- define "minio.sccRoleName" -}} {{- printf "%s-%s" "scc" (include "minio.fullname" .) | trunc 63 | trimSuffix "-" -}} {{- end -}} {{/* Properly format optional additional arguments to MinIO binary */}} {{- define "minio.extraArgs" -}} {{- range .Values.extraArgs -}} {{ " " }}{{ . }} {{- end -}} {{- end -}} {{/* Return the proper Docker Image Registry Secret Names */}} {{- define "minio.imagePullSecrets" -}} {{/* Helm 2.11 supports the assignment...

# Parâmetros de Cabeçalho

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

## importe `Header`

Primeiro importe `Header`:

//// tab | Python 3.10+

```Python hl_lines="1"
{!> ../../docs_src/header_params/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="3"
{!> ../../docs_src/header_params/tutorial001.py!}
```

////

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 {