(The threshold for "large" used here is currently "1000 endpoints" but
  this is subject to change.) ([#110334](https://github.com/kubernetes/kubernetes/pull/110334), [@danwinship](https://github.com/danwinship))
- Kube-up now includes CoreDNS version v1.9.3. ([#110488](https://github.com/kubernetes/kubernetes/pull/110488), [@mzaian](https://github.com/mzaian))

#define TENSORFLOW_C_C_API_INTERNAL_H_

#include <list>
#include <set>
#include <string>
#include <unordered_map>
#include <vector>

#include "tensorflow/c/c_api.h"

// clang-format off
// Required for IS_MOBILE_PLATFORM
#include "tensorflow/core/platform/platform.h"
// clang-format on

#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/c/tf_tensor_internal.h"

OpenAPI tiene una forma de definir múltiples "esquemas" de seguridad.

Al usarlos, puedes aprovechar todas estas herramientas basadas en estándares, incluidos estos sistemas de documentación interactiva.

OpenAPI define los siguientes esquemas de seguridad:

* `apiKey`: una clave específica de la aplicación que puede provenir de:
  * Un parámetro de query.
  * Un header.

        // toString should include the class name and (if non-null) the message
        String ts = ex.toString();
        assertTrue(ts.contains("SMBProtocolDecodingException"), "toString should include class name");
        if (message != null && !message.isEmpty()) {
            assertTrue(ts.contains(message), "toString should include non-empty message");
        }
    }

    @Test

You can see those schemas because they were declared with the models in the app.

That information is available in the app's **OpenAPI schema**, and then shown in the API docs.

That same information from the models that is included in OpenAPI is what can be used to **generate the client code**.

### Hey API { #hey-api }

Once we have a FastAPI app with the models, we can use Hey API to generate a TypeScript client. The fastest way to do that is via npx.

==============================================================================*/

#include <limits.h>
#include <memory.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <unistd.h>

#ifdef _WIN32
#include <process.h>
#endif

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_experimental.h"
#include "tensorflow/c/env.h"
#include "tensorflow/c/kernels.h"

        ExclusionArtifactFilter filter = new ExclusionArtifactFilter(Collections.singletonList(exclusion));

        assertFalse(filter.include(artifact), "Maven artifact should be excluded by glob pattern");
        assertTrue(filter.include(artifact2), "JUnit artifact should not be excluded by maven-* glob pattern");
    }

    @Test
    void testExcludeWithGlobStar() {

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/c_test_util.h"
#include "tensorflow/core/framework/common_shape_fns.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/lib/hash/hash.h"

                    return encoder_instance(obj)
    if include is not None and not isinstance(include, (set, dict)):
        include = set(include)
    if exclude is not None and not isinstance(exclude, (set, dict)):
        exclude = set(exclude)
    if isinstance(obj, BaseModel):
        obj_dict = obj.model_dump(
            mode="json",
            include=include,
            exclude=exclude,
            by_alias=by_alias,

$VERSION-venv
$VERSION-distutils
EOF
fi

/setup.packages.sh pythons.txt

# Python 3.10 include headers fix:
# sysconfig.get_path('include') incorrectly points to /usr/local/include/python
# map /usr/include/python3.10 to /usr/local/include/python3.10
if [[ ! -f "/usr/local/include/$VERSION" ]]; then
  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip