

@classmethod
def _add_numeric_methods_unary(cls):
    ' add in numeric unary methods '

    def _make_evaluate_unary(op, opstr):

        def _evaluate_numeric_unary(self):
            self._validate_for_numeric_unaryop(op, opstr)
            attrs = self._get_attributes_dict()
            attrs = self._maybe_update_attributes(attrs)
            return Index(op(self.values), **attrs)
        return _evaluate_numeric_unary
    cls.__neg__ = _make_evaluate_unary((lambda x: (- cls)), '__neg__')
    cls.__pos__ = _make_evaluate_unary((lambda x: x), '__pos__')
    cls.__abs__ = _make_evaluate_unary(np.abs, '__abs__')
    cls.__inv__ = _make_evaluate_unary((lambda x: (- x)), '__inv__')

dataset/ETHPy150Open pydata/pandas/pandas/indexes/base.py Index._add_numeric_methods_unary/VarMisuse@92/145 `x`->`cls`