code: def make_sqlalchemy_table(table, tablename, schema=None, constraints=True,
                            metadata=None):
      
  
      import sqlalchemy
  
      if not metadata:
          metadata = sqlalchemy.MetaData()
  
      sql_table = sqlalchemy.Table(tablename, metadata, schema=schema)
      cols = columns(table)
      flds = list(cols.keys())
      for f in flds:
          sql_column = make_sqlalchemy_column(cols[f], f,
                                              constraints=constraints)
          sql_table.append_column(sql_column)
  
      return sql_table
docs: Create an SQLAlchemy table definition based on data in `table`.
  
      Keyword arguments:
  
      table : table container
          Table data to use to infer types etc.
      tablename : text
          Name of the table
      schema : text
          Name of the database schema to create the table in
      constraints : bool
          If True use length and nullable constraints
      metadata : sqlalchemy.MetaData
          Custom table metadata