mysqlInsertRow = `INSERT INTO %s (event_time, event_data) VALUES (?, ?);`
)

// MySQL related constants
const (
	MySQLFormat             = "format"
	MySQLDSNString          = "dsn_string"
	MySQLTable              = "table"
	MySQLHost               = "host"
	MySQLPort               = "port"
	MySQLUsername           = "username"
	MySQLPassword           = "password"
	MySQLDatabase           = "database"

          name: "serialized"
          type: DT_STRING
        }
        input_arg {
          name: "names"
          type: DT_STRING
        }
        input_arg {
          name: "sparse_keys"
          type: DT_STRING
          number_attr: "Nsparse"
        }
        input_arg {
          name: "dense_keys"
          type: DT_STRING
          number_attr: "Ndense"
        }

			if err != nil {
				klog.ErrorS(err, "Error for parsing the resolv.conf file")
			} else {
				dnsString = dnsString + "search"
				for _, search := range hostSearch {
					dnsString = dnsString + fmt.Sprintf(" %s", search)
				}
				dnsString = dnsString + "\n"
			}
		}
	}
	if err := os.WriteFile(resolvePath, []byte(dnsString), 0600); err != nil {
		klog.ErrorS(err, "Could not write dns nameserver in the file", "path", resolvePath)

    case DT_BFLOAT16:
    case DT_HALF:
    case DT_FLOAT8_E5M2:
    case DT_FLOAT8_E4M3FN:
      return ConvertTensorOfCustomFloatType(input_tensor, type);
    case DT_STRING:
      return ConvertStringTensor(input_tensor, type);
    default:
      // TODO(hinsu): Remove mangling now that there is a special attribute.
      return ElementsAttr(

	}
	defer f.Close()
	dynstrings, err := f.DynString(flag)
	if err != nil {
		t.Fatalf("DynString(%s) failed on %s: %v", flag, path, err)
	}
	return dynstrings
}

func AssertIsLinkedToRegexp(t *testing.T, path string, re *regexp.Regexp) {
	t.Helper()
	for _, dynstring := range dynStrings(t, path, elf.DT_NEEDED) {
		if re.MatchString(dynstring) {
			return
		}
	}

      TF_RETURN_IF_ERROR(ValidateFunctionNotRecursive(function));
    }
  }

  return absl::OkStatus();
}

Tensor CreateStringTensor(const string& value) {
  Tensor tensor(DT_STRING, TensorShape({}));
  tensor.scalar<tstring>()() = value;
  return tensor;
}

void AddAssetsTensorsToInputs(const StringPiece export_dir,

  tsl::Set_TF_Status_from_Status(status, cc_status);
}

#endif  // LIBTPU_EXCLUDE_C_API_IMPL

namespace tensorflow {

void TensorInterface::Release() {
  if (Type() == DT_STRING && NumElements() > 0) {
    TF_TString* data = static_cast<TF_TString*>(Data());
    if (CanMove() && data != nullptr) {
      for (int64_t i = 0; i < NumElements(); ++i) {
        TF_TString_Dealloc(&data[i]);
      }

}

TEST(ConvertTypeToTensorTypeTest, ConvertStringTensor) {
  mlir::MLIRContext context;
  RegisterDialects(context);
  mlir::Builder b(&context);

  // Create the sample tensor to convert.
  Tensor tensor(DT_STRING, TensorShape({1, 2, 2, 1}));
  EXPECT_EQ(4, tensor.NumElements());
  auto Tt = tensor.flat<tstring>();
  Tt.setValues({"one", "two", "three", "four"});
  auto value_or_status = ConvertTensor(tensor, &b);

  if (node.type_string() == "Const") {
    const AttrValue* attr = node.attrs().Find("dtype");
    if (!op_filter_.allow_string_consts && attr != nullptr &&
        attr->type() == DT_STRING) {
      *uncompilable_reason =
          "Const op with type DT_STRING is not supported by XLA.";
      return false;
    }
  }

  // XLA does not offer guaranteed aliasing between the input and output of the

  // Async compilation returns nullptr executable without an error.
  if (!executable && !pjrt_executable) {
    DCHECK(!must_compile_);
    Tensor compilation_key(cpu_allocator, DT_STRING, TensorShape({}));
    Tensor compilation_successful(cpu_allocator, DT_BOOL, TensorShape({}));
    compilation_successful.scalar<bool>()() = false;
    ctx->set_output(0, compilation_key);