def _binopt(self, other, op):
        other = self.__class__(other)

        # e.g. csr_plus_csr, csr_minus_csr, etc.
        fn = getattr(_sparsetools, self.format + op + self.format)

        maxnnz = self.nnz + other.nnz
        idx_dtype = get_index_dtype((self.indptr, self.indices,
                                     other.indptr, other.indices),
                                    maxval=maxnnz)
        indptr = np.empty(self.indptr.shape, dtype=idx_dtype)
        indices = np.empty(maxnnz, dtype=idx_dtype)

        bool_ops = ['_ne_', '_lt_', '_gt_', '_le_', '_ge_']
        if op in bool_ops:
            data = np.empty(maxnnz, dtype=np.bool_)
        else:
            data = np.empty(maxnnz, dtype=upcast(self.dtype, other.dtype))

        fn(self.shape[0], self.shape[1],
           np.asarray(self.indptr, dtype=idx_dtype),
           np.asarray(self.indices, dtype=idx_dtype),
           self.data,
           np.asarray(other.indptr, dtype=idx_dtype),
           np.asarray(other.indices, dtype=idx_dtype),
           other.data,
           indptr, indices, data)

        actual_nnz = indptr[-1]
        indices = indices[:actual_nnz]
        data = data[:actual_nnz]
        if actual_nnz < maxnnz // 2:
            # too much waste, trim arrays
            indices = indices.copy()
            data = data.copy()

        A = self.__class__((data, indices, indptr), shape=self.shape)

        return A
Resets the counter used to generate unique savepoint ids in this thread.
dataset/ETHPy150Open scipy/scipy/scipy/sparse/compressed.py/_cs_matrix._binopt--crossover with--dataset/ETHPy150Open cloudera/hue/desktop/core/ext-py/Django-1.6.10/django/db/transaction.py/clean_savepoints