code: def testSparseReshapeMethod(self):
      # Note: this is more fully tested in sparse_test.py:test_bcoo_reshape
      shape = (2, 3, 4)
      new_shape = (2, 6, 2)
  
      rng = jtu.rand_some_zero(self.rng())
      arr = rng(shape, "int32")
      arr_sparse = BCOO.fromdense(arr, n_batch=1)
  
      arr2 = arr.reshape(new_shape)
      arr2_sparse = arr_sparse.reshape(new_shape)
      arr2_sparse_jit = jax.jit(lambda x: x.reshape(new_shape))(
          arr_sparse
      )
  
      self.assertArraysEqual(arr2, arr2_sparse.todense())
      self.assertArraysEqual(arr2, arr2_sparse_jit.todense())
  
imports: from functools import partial
  import math
  import operator
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import jax
  from jax import config, jit, lax
  import jax.numpy
  import jax._src.test_util
  from jax.experimental.sparse import BCOO, BCSR, sparsify, todense, SparseTracer
  from jax.experimental.sparse.transform import arrays_to_spvalues, spvalues_to_arrays, sparsify_raw, SparsifyValue, SparsifyEnv
  from jax.experimental.sparse.util import CuSparseEfficiencyWarning
  from jax.experimental.sparse import test_util
label_desc: Use image node_id 22 for calling the SparsifyTest obj's underlying member method code with example usage: obj.testSparseReshapeMethod() without return types