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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 create_description(self, complib=None, complevel=None, fletcher32=False, expectedrows=None):
 """ create the description of the table from the axes & values """


        # provided expected rows if its passed
        if expectedrows is None:
            expectedrows = max(self.nrows_expected, 10000)

        d = dict(name='table', expectedrows=expectedrows)

        # description from the axes & values
        d['description'] = {a.cname: a.typ for a in self.axes}

        if complib:
            if complevel is None:
                complevel = self._complevel or 9
            filters = _tables().Filters(
                complevel=complevel, complib=complib,
                fletcher32=fletcher32 or self._fletcher32)
            d['filters'] = filters
        elif self._filters is not None:
            d['filters'] = self._filters

        return d