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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def copy(self, newtablename, deep=False, valuecopy=False, dminfo={}, endian='aipsrc', memorytable=False, copynorows=False):
 """Copy the table and return a table object for the copy. It copies all data in the columns and keywords. Besides the table, all its subtables are copied too. By default a shallow copy is made (usually by copying files). It means that the copy of a reference table is also a reference table. Use `deep=True` to make a deep copy which turns a reference table into a normal table. `deep=True` a deep copy of a reference table is made. `valuecopy=True` values are copied, which reorganizes normal tables and removes wasted space. It implies `deep=True`. It is slower than a normal copy. `dminfo` gives the option to specify data managers to change the way columns are stored. This is a dict as returned by method :func:`getdminfo`. `endian` specifies the endianness of the new table when a deep copy is made: | 'little' = as little endian | 'big' = as big endian | 'local' = use the endianness of the machine being used | 'aipsrc' = use as defined in an .aipsrc file (defaults to local) `memorytable=True` do not copy to disk, but to a table kept in memory. `copynorows=True` only copy the column layout and keywords, but no data. For example:: t = table('3c343.MS') t1 = t.query('ANTENNA1 != ANTENNA2') # do row selection t2 = t1.copy ('3c343.sel', True) # make deep copy t2 = t.copy ('new.tab', True, True) # reorganize storage """

        t = self._copy(newtablename, memorytable, deep, valuecopy,
                       endian, dminfo, copynorows)
        # copy returns a Table object, so turn that into table.
        return table(t, _oper=3)