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,

#ifndef LIBTPU_EXCLUDE_C_API_IMPL

#include "tensorflow/c/tf_status.h"

#include "tensorflow/c/tf_status_internal.h"

// Trampoline implementation to redirect to TSL. Kept here for backward
// compatibility only.

TF_Status* TF_NewStatus() { return TSL_NewStatus(); }
void TF_DeleteStatus(TF_Status* s) { TSL_DeleteStatus(s); }
void TF_SetStatus(TF_Status* s, TF_Code code, const char* msg) {
  TSL_SetStatus(s, TSL_Code(code), msg);

#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_builder = reinterpret_cast<OpDefBuilder*>(builder);
  cc_builder->SetShapeFn(
      [shape_inference_func](InferenceContext* ctx) -> tensorflow::Status {
        TF_Status* c_status = TF_NewStatus();
        auto c_ctx = reinterpret_cast<TF_ShapeInferenceContext*>(ctx);
        shape_inference_func(c_ctx, c_status);

                                                   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);

  params.patch_version = GO_PATCH;
  params.optimizer = &optimizer;
  params.optimizer_configs = &optimizer_configs;

  OwnedTFStatus c_status(TF_NewStatus());
  init_fn(&params, c_status.get());
  TF_RETURN_IF_ERROR(tsl::StatusFromTF_Status(c_status.get()));
  TF_RETURN_IF_ERROR(ValidateTPOptimizerRegistrationParams(params));
  TF_RETURN_IF_ERROR(ValidateTPOptimizer(optimizer));

      ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s);      \
      TF_OpKernelContext_Failure(CTX, C_STATUS);                  \
      TF_DeleteStatus(C_STATUS);                                  \
      return;                                                     \
    }                                                             \
  } while (0)

#define TF_CLEANUP_AND_RETURN_IF_ERROR(C_STATUS, BUFFER, __VA_ARGS__) \