code: def test_sql_column() -> None:  # noqa: D
      sql_column = SqlColumn(
          table=SqlTable(
              db_name="test_db",
              schema_name="test_schema",
              table_name="test_table",
          ),
          column_name="test_column",
      )
      column_str = "test_db.test_schema.test_table.test_column"
  
      assert sql_column.sql == column_str
      assert SqlColumn.from_string(column_str) == sql_column
      assert sql_column == SqlColumn.from_names(
          db_name="test_db",
          schema_name="test_schema",
          table_name="test_table",
          column_name="test_column",
      )
  
      assert sql_column.db_name == sql_column.table.db_name
      assert sql_column.schema_name == sql_column.table.schema_name
      assert sql_column.table_name == sql_column.table.table_name
  
      json_serialized_column = sql_column.json()
      deserialized_column = SqlColumn.parse_raw(json_serialized_column)
  
      assert sql_column == deserialized_column
  
imports: from __future__ import annotations
  from metricflow.dataflow.sql_column import SqlColumn
  from metricflow.dataflow.sql_table import SqlTable
label_desc: Use image node_id 1 for calling a global function with example usage: test_sql_column() without return types