code: def _adjust_expected_rank2(x, minlength, maxlength):
      return [
          _adjust_expected_rank1(i, minlength, maxlength) for i in x
      ]
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling a global function with example usage: _adjust_expected_rank2(x, minlength, maxlength) and returns: unknown