if e == nil {
			continue
		}
		flat := d.flatten(*e)
		bui := BucketUsageInfo{
			Size:                    uint64(flat.Size),
			VersionsCount:           flat.Versions,
			ObjectsCount:            flat.Objects,
			DeleteMarkersCount:      flat.DeleteMarkers,
			ObjectSizesHistogram:    flat.ObjSizes.toMap(),
			ObjectVersionsHistogram: flat.ObjVersions.toMap(),
		}
		if flat.ReplicationStats != nil {

        flat_dependant.security_requirements.extend(flat_sub.security_requirements)
    return flat_dependant


def get_flat_params(dependant: Dependant) -> List[ModelField]:
    flat_dependant = get_flat_dependant(dependant, skip_repeats=True)
    return (
        flat_dependant.path_params
        + flat_dependant.query_params
        + flat_dependant.header_params
        + flat_dependant.cookie_params

            if route.callbacks:
                callback_flat_models.extend(get_fields_from_routes(route.callbacks))
            params = get_flat_params(route.dependant)
            request_fields_from_routes.extend(params)

    flat_models = callback_flat_models + list(
        body_fields_from_routes + responses_from_routes + request_fields_from_routes
    )
    return flat_models


def get_openapi(
    *,

/**
 * FlatRepositoryLayout
 */
@Named("flat")
@Singleton
@Deprecated
public class FlatRepositoryLayout implements ArtifactRepositoryLayout {

    private static final char ARTIFACT_SEPARATOR = '-';

    private static final char GROUP_SEPARATOR = '.';

    public String getId() {
        return "flat";
    }

    public String pathOf(Artifact artifact) {

    ) -> Any:
        return {}

    def get_model_definitions(
        *,
        flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
        model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
    ) -> Dict[str, Any]:
        definitions: Dict[str, Dict[str, Any]] = {}
        for model in flat_models:
            m_schema, m_definitions, m_nested_models = model_process_schema(

			f.newCache.deleteRecursive(thisHash)
			f.newCache.replaceHashed(thisHash, folder.parent, *flat)
			total := map[string]string{
				"objects": strconv.FormatUint(flat.Objects, 10),
				"size":    strconv.FormatInt(flat.Size, 10),
			}
			if flat.Versions > 0 {
				total["versions"] = strconv.FormatUint(flat.Versions, 10)
			}
			stop(total)
		}

	}
	// Compact if too many children...

)

// jsonpathEval evaluates a JSON path and returns the value at the path.
// If the value should be considered flat (from wildcards) any array returned should be considered individual values.
func jsonpathEval(p []*JSONPathElement, v interface{}) (r interface{}, flat bool, err error) {
	// fmt.Printf("JPATHexpr: %v jsonobj: %v\n\n", p, v)
	if len(p) == 0 || v == nil {
		return v, false, nil
	}

	switch {

		}
		t.Fatal("got nil root.")
	}

	// Test dirs
	want := []struct {
		path       string
		isNil      bool
		size, objs int
		oSizes     sizeHistogram
	}{
		{
			path:   "flat",
			size:   1322310 + expectSize,
			objs:   8 + expectSize,
			oSizes: sizeHistogram{0: 2 + expectSize, 1: 3, 2: 2, 4: 1},
		},
		{
			path:   "bucket/",
			size:   20000,
			objs:   2,

limitations under the License.
==============================================================================*/
#include "tensorflow/c/eager/unified_api_testutil.h"

#include "absl/container/flat_hash_set.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental.h"

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"
#include "tensorflow/core/common_runtime/eager/attr_builder.h"