code: def _spsolve_abstract_eval(data, indices, indptr, b, *, tol, reorder):
      if data.dtype != b.dtype:
          raise ValueError(
              f"data types do not match: {data.dtype=} {b.dtype=}"
          )
      if not (
          jnp.issubdtype(indices.dtype, jnp.integer)
          and jnp.issubdtype(indptr.dtype, jnp.integer)
      ):
          raise ValueError(
              f"index arrays must be integer typed; got {indices.dtype=} {indptr.dtype=}"
          )
      if not data.ndim == indices.ndim == indptr.ndim == b.ndim == 1:
          raise ValueError(
              "Arrays must be one-dimensional. "
              f"Got {data.shape=} {indices.shape=} {indptr.shape=} {b.shape=}"
          )
      if indptr.size != b.size + 1 or data.shape != indices.shape:
          raise ValueError(
              f"Invalid CSR buffer sizes: {data.shape=} {indices.shape=} {indptr.shape=}"
          )
      if reorder not in [0, 1, 2, 3]:
          raise ValueError(
              f"{reorder=} not valid, must be one of [1, 2, 3, 4]"
          )
      tol = float(tol)
      return b
  
imports: from __future__ import annotations
  from typing import Union, Callable
  import functools
  import jax
  import jax.numpy
  from jax.experimental import sparse
  from jax.interpreters import mlir
  from jax.interpreters import xla
  from jax._src import core
  from jax._src.interpreters import ad
  from jax._src.lib import gpu_solver
  import numpy
  from scipy.sparse import csr_matrix, linalg
label_desc: Use image node_id 13 for calling a global function with example usage: _spsolve_abstract_eval(data, indices, indptr, b) and returns: b