code: def is_pinned(self) -> bool:
      is_pinned = True
      row = self._row
      if row is not None:
          is_pinned = is_pinned and row.is_pinned()
      rowptr = self._rowptr
      if rowptr is not None:
          is_pinned = is_pinned and rowptr.is_pinned()
      is_pinned = self._col.is_pinned()
      value = self._value
      if value is not None:
          is_pinned = is_pinned and value.is_pinned()
      rowcount = self._rowcount
      if rowcount is not None:
          is_pinned = is_pinned and rowcount.is_pinned()
      colptr = self._colptr
      if colptr is not None:
          is_pinned = is_pinned and colptr.is_pinned()
      colcount = self._colcount
      if colcount is not None:
          is_pinned = is_pinned and colcount.is_pinned()
      csr2csc = self._csr2csc
      if csr2csc is not None:
          is_pinned = is_pinned and csr2csc.is_pinned()
      csc2csr = self._csc2csr
      if csc2csr is not None:
          is_pinned = is_pinned and csc2csr.is_pinned()
      return is_pinned
  
imports: import warnings
  from typing import List, Optional, Tuple
  import torch
  from torch_scatter import scatter_add, segment_csr
  from torch_sparse.utils import Final, index_sort
label_desc: Use image node_id 40 for calling the SparseStorage obj's underlying member method code with example usage: obj.is_pinned() and returns: is_pinned