namespace tensorflow {

std::string AbstractTensorHandle::DebugString() const {
  PartialTensorShape shape;
  absl::Status s = Shape(&shape);
  std::string shape_string;
  if (!s.ok()) {
    shape_string = "<error computing shape>";
  } else {
    shape_string = shape.DebugString();
  }
  return absl::StrCat("TensorHandle(shape=", shape_string,

}

// GetTemplateLabels returns spec.template.metadata.labels from Deployment
func GetTemplateLabels(u *unstructured.Unstructured) (map[string]string, error) {
	if spec, ok := u.Object["spec"].(map[string]any); ok {
		if template, ok := spec["template"].(map[string]any); ok {
			m, _, err := unstructured.NestedStringMap(template, "metadata", "labels")
			if err != nil {
				return nil, err
			}
			return m, nil
		}
	}

		if err != nil {
			t.Fatalf("Failed to decode key %d: %v", ii, err)
		}
	}

	//nolint:gocritic
	if key0, ok := keys[0].(*ecdsa.PublicKey); !ok {
		t.Fatalf("Expected ECDSA key[0], got %T", keys[0])
	} else if key1, ok := keys[1].(*rsa.PublicKey); !ok {
		t.Fatalf("Expected RSA key[1], got %T", keys[1])
	} else if key0.Curve != elliptic.P256() {
		t.Fatal("Key[0] is not using P-256 curve")

	}
	if disp, ok := lkMap.Lookup(xhttp.ContentDisposition); ok {
		putOpts.ContentDisposition = disp
	}
	if cc, ok := lkMap.Lookup(xhttp.CacheControl); ok {
		putOpts.CacheControl = cc
	}
	if mode, ok := lkMap.Lookup(xhttp.AmzObjectLockMode); ok {
		rmode := minio.RetentionMode(mode)
		putOpts.Mode = rmode
	}
	if retainDateStr, ok := lkMap.Lookup(xhttp.AmzObjectLockRetainUntilDate); ok {

			if column.Desc {
				builder.WriteString(" DESC")
			}
		}
	}
}

// MergeClause merge order by clauses
func (orderBy OrderBy) MergeClause(clause *Clause) {
	if v, ok := clause.Expression.(OrderBy); ok {
		for i := len(orderBy.Columns) - 1; i >= 0; i-- {
			if orderBy.Columns[i].Reorder {
				orderBy.Columns = orderBy.Columns[i:]
				clause.Expression = orderBy
				return
			}
		}

#define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \
  do {                                                            \
    ::tensorflow::Status _s(__VA_ARGS__);                         \
    if (!TF_PREDICT_TRUE(_s.ok())) {                              \
      ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s);      \
      TF_OpKernelContext_Failure(CTX, C_STATUS);                  \

	desc, ok := m.descriptors[name]
	if !ok {
		panic(fmt.Sprintf("metric has no description: %s", name))
	}

	if len(labels)%2 != 0 {
		panic("labels must be a list of ordered key-value pairs")
	}

	validLabels := desc.getLabelSet()
	labelMap := make(map[string]string, len(labels)/2)
	for i := 0; i < len(labels); i += 2 {
		if _, ok := validLabels[labels[i]]; !ok {

		return
	}

	byHostName := globalMinioAddr
	if len(opts.hosts) > 0 {
		server := getLocalServerProperty(globalEndpoints, &http.Request{
			Host: globalLocalNodeName,
		}, false)
		if _, ok := opts.hosts[server.Endpoint]; ok {
			byHostName = server.Endpoint
		} else {
			return
		}
	}

	if strings.HasPrefix(byHostName, ":") && !strings.HasPrefix(globalLocalNodeName, ":") {
		byHostName = globalLocalNodeName
	}

                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount()).status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/labeltype/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {

                    },
                },
                "InvoiceEventReceived": {
                    "title": "InvoiceEventReceived",
                    "required": ["ok"],
                    "type": "object",
                    "properties": {"ok": {"title": "Ok", "type": "boolean"}},
                },
                "ValidationError": {
                    "title": "ValidationError",