> 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 {

meta_graphs: {
  meta_info_def: {
    tags: ["serve", "tpu"]
  }
  graph_def: {
    node: {
      name: "input0"
      op: "Placeholder"
      attr: {
        key: "dtype"
        value: {
          type: DT_STRING
        }
      }
    }
    node: {
      name: "input1"
      op: "Placeholder"
      attr: {
        key: "dtype"
        value: {
          type: DT_INT32
        }
      }
    }

    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 {

          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"
        }

  } else {
    EXPECT_TRUE(absl::StrContains(ctx.status().ToString(), expected_output))
        << ctx.status();
  }
}

TEST(ScalarSummaryOpTest, SimpleFloat) {
  int vectorSize = 3;
  Tensor tags(DT_STRING, {vectorSize});
  Tensor values(DT_FLOAT, {vectorSize});
  tags.vec<tstring>()(0) = "tag1";
  tags.vec<tstring>()(1) = "tag2";
  tags.vec<tstring>()(2) = "tag3";
  values.vec<float>()(0) = 1.0f;

        shape {
        }
      }
    }
  }
}
node {
  name: "Const1"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_STRING
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_STRING
        tensor_shape {
        }
        string_val: ""
      }
    }
  }
  attr {
    key: "_output_shapes"
    value {
      list {

        shape {
          dim {
            size: 3
          }
        }
      }
    }
  }
  attr {
    key: "dtype"
    value {
      type: DT_STRING
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_STRING
        tensor_shape {
          dim {
            size: 3
          }
        }
        string_val: ""
        string_val: ""
        string_val: ""