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 {

            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(
    *,

    ) -> 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...

        ":tape",
        "//tensorflow/core/common_runtime/eager:attr_builder",
        "//tensorflow/core/lib/llvm_rtti",
        "//tensorflow/core/platform:errors",
        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/strings",
    ],
)

cc_library(
    name = "unified_api_testutil",
    testonly = 1,
    srcs = [
        "unified_api_testutil.cc",
    ],

	} `json:"xl"`
}

// formatErasureV3 struct is same as formatErasureV2 struct except that formatErasureV3.Erasure.Version is "3" indicating
// the simplified multipart backend which is a flat hierarchy now.
// In .minio.sys/multipart we have:
// sha256(bucket/object)/uploadID/[xl.meta, part.1, part.2 ....]
type formatErasureV3 struct {
	formatMetaV1
	Erasure struct {

[![GitHub license](https://img.shields.io/badge/license-Apache%20License%202.0-blue.svg?style=flat)](https://www.apache.org/licenses/LICENSE-2.0)
[![Revved up by Develocity](https://img.shields.io/badge/Revved%20up%20by-Develocity-06A0CE?logo=Gradle&labelColor=02303A)](https://ge.jetbrains.com/scans?search.rootProjectNames=Kotlin)

	// With max keys of zero we have reached eof, return right here.
	if o.Limit == 0 {
		return entries, io.EOF
	}

	// For delimiter and prefix as '/' we do not list anything at all
	// along // with the prefix. On a flat namespace with 'prefix'
	// as '/' we don't have any entries, since all the keys are
	// of form 'keyName/...'
	if strings.HasPrefix(o.Prefix, SlashSeparator) {
		return entries, io.EOF
	}

TEST(CAPI, TestFromProto) {
  Tensor t_cc(DT_FLOAT, TensorShape({2, 3}));
  t_cc.flat<float>().setConstant(1.0);
  tensorflow::TensorProto t_proto;
  t_cc.AsProtoField(&t_proto);

  TF_Buffer* t_buffer = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(t_proto, t_buffer));

  const int num_bytes = 6 * sizeof(float);
  float* values =
      reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw(

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

#include <cstdint>
#include <memory>
#include <utility>
#include <vector>

#include "absl/container/flat_hash_map.h"
#include "absl/strings/match.h"
#include "absl/time/time.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api_internal.h"
#include "tensorflow/c/eager/tfe_context_internal.h"