code: def materialize_pointers(self, boundary_check):
      dtype_tt = self.base.dtype.element_ty
      n_bytes = dtype_tt.primitive_bitwidth // 8
      tensor_shape = self.tensor_shape
      ptrs = np.broadcast_to(self.base.data, self.tensor_shape)
      masks = np.ones(self.tensor_shape, dtype=bool)
      for dim in range(len(tensor_shape)):
          bcast_dims = [1] * len(tensor_shape)
          bcast_dims[dim] = tensor_shape[dim]
          off = (
              self.offsets[dim].data + np.arange(tensor_shape[dim])
          ).reshape(bcast_dims)
          ptrs = ptrs + (n_bytes * off * self.strides[dim].data).astype(
              np.uint64
          )
          if dim in boundary_check:
              masks = np.logical_and(masks, off < self.shape[dim].data)
      ptrs = TensorHandle(ptrs, self.base.dtype)
      return ptrs, masks
  
imports: import inspect
  import numpy
  import triton
  import triton.language
  from .._C.libtriton import interpreter
label_desc: Use image node_id 2 for calling the BlockPointerHandle obj's underlying member method code with example usage: obj.materialize_pointers(boundary_check) and returns: ptrs,  masks