code: def solve_triangular_sparse_matrix(a, b, lower=False, sparse=True):
      a = naked(a)
      b = b.toarray() if issparse(b) else b
  
      x = splinalg.spsolve_triangular(a, b, lower=lower)
      if sparse:
          spx = (
              sps.csr_matrix(x).reshape(x.shape[0], 1)
              if len(x.shape) == 1
              else sps.csr_matrix(x)
          )
          return SparseNDArray(spx, shape=x.shape)
      else:
          return x
  
imports: import numpy
  from collections.abc import Iterable
  from typing import List
  from .core import issparse, get_array_module, cp, cps, get_sparse_module, naked, sps, splinalg
  from .array import SparseNDArray, SparseArray
label_desc: Use image node_id 8 for calling a global function with example usage: solve_triangular_sparse_matrix(a, b, lower, sparse) and returns: SparseNDArray, x