code: def _adjust_expected_rank1(x, minlength, maxlength):
      """Trim or pad an expected result based on minlength and maxlength."""
      n = len(x)
      if (minlength is not None) and (n < minlength):
          x = x + [0] * (minlength - n)
      if (maxlength is not None) and (n > maxlength):
          x = x[:maxlength]
      return x
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import bincount_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling a global function with example usage: _adjust_expected_rank1(x, minlength, maxlength) and returns: x