* {@link #getSource()}, {@link #getLineNumber()} and {@link #getColumnNumber()}. The exact syntax of the returned
     * value is undefined.
     *
     * @return The location of the problem, never {@code null}.
     */
    String getLocation();

    /**
     * Gets the exception that caused this problem (if any).
     *

* API usage monitoring systems
* response data injection systems
* etc.

## Simple and Powerful

Although the hierarchical dependency injection system is very simple to define and use, it's still very powerful.

You can define dependencies that in turn can define dependencies themselves.

En ese caso haría referencia a los atributos del JSON, los tipos de datos que tiene, etc.

#### OpenAPI y JSON Schema

OpenAPI define un schema de API para tu API. Ese schema incluye definiciones (o "schemas") de los datos enviados y recibidos por tu API usando **JSON Schema**, el estándar para los schemas de datos en JSON.

#### Revisa el `openapi.json`

    # shadowing typing.Required.
    RequiredParam: Any = Ellipsis  # type: ignore[no-redef]
    from pydantic.fields import (  # type: ignore[no-redef,attr-defined]
        Undefined as Undefined,
    )
    from pydantic.fields import (  # type: ignore[no-redef, attr-defined]
        UndefinedType as UndefinedType,  # noqa: F401
    )
    from pydantic.schema import (
        field_schema,

# Security Tools

When you need to declare dependencies with OAuth2 scopes you use `Security()`.

But you still need to define what is the dependable, the callable that you pass as a parameter to `Depends()` or `Security()`.

There are multiple tools that you can use to create those dependables, and they get integrated into OpenAPI so they are shown in the automatic docs UI, they can be used by automatically generated clients and SDKs, etc.

                """
            ),
        ] = None,
        response_model_by_alias: Annotated[
            bool,
            Doc(
                """
                Configuration passed to Pydantic to define if the response model
                should be serialized by alias when an alias is used.

                Read more about it in the

     * unprefixed expressions.
     * @param possiblePrefixes The possible prefixes.
     * @param root The root of the graph.
     * @param allowUnprefixedExpressions if we allow undefined expressions or not.
     */
    public PrefixedObjectValueSource(List<String> possiblePrefixes, Object root, boolean allowUnprefixedExpressions) {
        super(new PrefixedValueSourceWrapper(

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven;

import java.util.Set;

/**
 * @deprecated use {@code META-INF/maven/extension.xml} to define artifacts exported by Maven core extensions.
 */
@Deprecated
public interface ArtifactFilterManagerDelegate {

    void addExcludes(Set<String> excludes);

    void addCoreExcludes(Set<String> excludes);

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

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_GRADIENTS_H_
#define TENSORFLOW_C_EAGER_GRADIENTS_H_

#include "absl/container/flat_hash_map.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/tape.h"