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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 filter(self, func):
 """ Filter array along an axis. Applies a function which should evaluate to boolean, along a single axis or multiple axes. Array will be aligned so that the desired set of axes are in the keys, which may require a transpose/reshape. Parameters func : function Function to apply, should return boolean """


        if self.mode == 'local':
            reshaped = self._align(self.baseaxes)
            filtered = asarray(list(filter(func, reshaped)))

            if self.labels is not None:
                mask = asarray(list(map(func, reshaped)))

        if self.mode == 'spark':

            sort = False if self.labels is None else True
            filtered = self.values.filter(func, axis=self.baseaxes, sort=sort)

            if self.labels is not None:
                keys, vals = zip(*self.values.map(func, axis=self.baseaxes, value_shape=(1,)).tordd().collect())
                perm = sorted(range(len(keys)), key=keys.__getitem__)
                mask = asarray(vals)[perm]

        if self.labels is not None:
            s1 = prod(self.baseshape)
            newlabels = self.labels.reshape(s1, 1)[mask].squeeze()
        else:
            newlabels = None

        return self._constructor(filtered, labels=newlabels).__finalize__(self, noprop=('labels',))