> port         (port)               MySQL server port (used only if `dsn_string` is empty)
> username     (string)             database username (used only if `dsn_string` is empty)
> password     (string)             database password (used only if `dsn_string` is empty)
> database     (string)             database name (used only if `dsn_string` is empty)
> ```
>

	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"

// Code generated by "stringer -type=Op -output=msg_string.go -trimprefix=Op msg.go"; DO NOT EDIT.

package grid

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[OpConnect-1]
	_ = x[OpConnectResponse-2]
	_ = x[OpPing-3]
	_ = x[OpPong-4]
	_ = x[OpConnectMux-5]
	_ = x[OpMuxConnectError-6]

# CHECK: tf_executor.fetch %[[output]] : tensor<*xi64>

node {
  name: "serilaized"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_STRING
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_STRING
        tensor_shape {
          dim {
            size: 1
          }
        }
        string_val: ""
      }
    }
  }
}
node {

    key: "dtype"
    value {
      type: DT_STRING
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_STRING
        tensor_shape {
          dim {
          }
        }
      }
    }
  }
}
node {
  name: "ParseExample/ParseExampleV2/sparse_keys"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_STRING
    }
  }
  attr {

["tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT"], dense_shapes = [#tf_type.shape<>, #tf_type.shape<>], device = "", num_sparse = 2 : i64, ragged_split_types = [], ragged_value_types = [], resultSegmentSizes = array<i32: 2, 2, 2, 2, 0, 0>, sparse_types = ["tfdtype$DT_STRING", "tfdtype$DT_INT64"]} : (tensor<32x!tf_type.string>, tensor<0x!tf_type.string>, tensor<2x!tf_type.string>, tensor<2x!tf_type.string>, tensor<0x!tf_type.string>, tensor<0xf32>, tensor<0xf32>) -> (tensor<?x2xi64>, tensor<?x2xi64>, tensor<?x!tf_type.string>,...

y":"keep_alive_interval","value":"0s"},{"key":"reconnect_interval","value":"0s"},{"key":"queue_dir","value":""},{"key":"queue_limit","value":"0"}]},"notify_mysql":{"_":[{"key":"enable","value":"off"},{"key":"format","value":"namespace"},{"key":"dsn_string","value":""},{"key":"table","value":""},{"key":"queue_dir","value":""},{"key":"queue_limit","value":"0"},{"key":"max_open_connections","value":"2"}]},"notify_nats":{"_":[{"key":"enable","value":"off"},{"key":"address","value":""},{"key":"subjec...

			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 tflite::TensorType_UINT32:
      return tensorflow::DT_UINT32;
    case tflite::TensorType_INT64:
      return tensorflow::DT_INT64;
    case tflite::TensorType_STRING:
      return tensorflow::DT_STRING;
    case tflite::TensorType_UINT8:
      return tensorflow::DT_UINT8;
    case tflite::TensorType_UINT16:
      return tensorflow::DT_UINT16;
    case tflite::TensorType_UINT64:
      return tensorflow::DT_UINT64;

  EXPECT_FALSE(root.status().ok());
}

TEST(CCOpTest, InvalidFinalize) {
  Scope root = Scope::NewRootScope();
  auto read_up_to =
      ops::ReaderReadUpTo(root, Variable(root, {}, DT_STRING),
                          Variable(root, {}, DT_STRING), static_cast<int32>(2));
  EXPECT_FALSE(root.status().ok());
  auto err_msg = std::string(root.status().message());
  EXPECT_NE(err_msg.find("'num_records' passed int32 expected int64"),