func TestTxCannotCommitAfterRollback(t *testing.T) {
	db := newTestDB(t, "tx_status")
	defer closeDB(t, db)

	// First check query reporting is correct.
	var txStatus string
	err := db.QueryRow("SELECT|tx_status|tx_status|").Scan(&txStatus)
	if err != nil {
		t.Fatal(err)
	}
	if g, w := txStatus, "autocommit"; g != w {
		t.Fatalf("tx_status=%q, wanted %q", g, w)
	}

				}
			}
		}
		if s.table == "tx_status" && s.colName[0] == "tx_status" {
			txStatus := "autocommit"
			if s.c.currTx != nil {
				txStatus = "transaction"
			}
			cursor := &rowsCursor{
				db:        s.c.db,
				parentMem: s.c,
				posRow:    -1,
				rows: [][]*row{
					{
						{
							cols: []any{
								txStatus,
							},
						},
					},
				},

// Return a new status object.
TF_CAPI_EXPORT extern TF_Status* TF_NewStatus(void);

// Delete a previously created status object.
TF_CAPI_EXPORT extern void TF_DeleteStatus(TF_Status*);

// Record <code, msg> in *s.  Any previous information is lost.
// A common use is to clear a status: TF_SetStatus(s, TF_OK, "");
TF_CAPI_EXPORT extern void TF_SetStatus(TF_Status* s, TF_Code code,

#include <utility>

#include "tensorflow/c/tf_status.h"
#include "tsl/platform/status.h"

namespace tsl {
// Set the attribute of "tf_status" from the attributes of "status".
void Set_TF_Status_from_Status(TF_Status* tf_status,
                               const absl::Status& status);

// Returns a "status" from "tf_status".
absl::Status StatusFromTF_Status(const TF_Status* tf_status);
}  // namespace tsl

namespace tensorflow {

  absl::Status cc_status;
  if (var_info == nullptr) {
    cc_status = absl::InvalidArgumentError("TF_VariableInfo is NULL.");
    status->status = cc_status;
    return nullptr;
  }
  if (var_info->var_info.var() == nullptr) {
    cc_status = absl::InvalidArgumentError(
        "VariableInfo does not track a resource variable.");
    status->status = cc_status;
    return nullptr;
  }

                                                   TF_Status* status) {
  auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelConstruction*>(ctx);
  tensorflow::NameAttrList function;
  auto cc_status = cc_ctx->GetAttr(attr_name, &function);
  if (!cc_status.ok()) {
    tsl::Set_TF_Status_from_Status(status, cc_status);
    return nullptr;
  }
  TF_Buffer* buffer = TF_NewBuffer();
  cc_status = tensorflow::MessageToBuffer(function, buffer);

      return tensorflow::CustomDeviceTensorHandle::SummarizeValue(summary);
    }
    TF_Status c_status;
    std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> summary_buffer(
        methods_.summarize(data_, &c_status), TF_DeleteBuffer);
    if (!c_status.status.ok()) {
      return c_status.status;
    }
    summary = std::string(reinterpret_cast<const char*>(summary_buffer->data),

namespace tsl {
namespace {

TEST(StatusHelper, TestStatusHelper) {
  TSL_Status* s = TSL_NewStatus();
  absl::Status cc_status(absl::InvalidArgumentError("some error"));
  cc_status.SetPayload("key1", absl::Cord("value1"));
  cc_status.SetPayload("key2", absl::Cord("value2"));
  Set_TF_Status_from_Status(s, cc_status);
  ASSERT_EQ(TSL_INVALID_ARGUMENT, TSL_GetCode(s));
  ASSERT_EQ(std::string("some error"), TSL_Message(s));

  int VisibleDeviceCount() const override {
    int visible_device_count = 0;
    tensorflow::TF_StatusPtr c_status(TF_NewStatus());
    platform_fns_.get_device_count(&platform_, &visible_device_count,
                                   c_status.get());
    if (TF_GetCode(c_status.get()) != TF_OK) {
      LOG(ERROR) << TF_Message(c_status.get());
      return 0;
    }
    return visible_device_count;
  }

  }

  TF_SetStatus(tf_status, TF_OK, "");
}

void TF_DestroyTemporaryVariable(TF_OpKernelContext* ctx, const int index,
                                 TF_StringView* var_name,
                                 TF_Status* tf_status) {
  auto* context = reinterpret_cast<::tensorflow::OpKernelContext*>(ctx);
  if (!IsRefType(context->input_dtype(0))) {
    tf_status->status =