code: def test_make_scalar_feature():
      assert hg_wrapper._make_scalar_feature("string") == tf.string
      assert hg_wrapper._make_scalar_feature("bool") == tf.bool
      assert hg_wrapper._make_scalar_feature("double") == tf.float64
      assert hg_wrapper._make_scalar_feature("int32") == tf.int32
  
imports: import pathlib
  import tensorflow
  from tensorflow_datasets.core.community import huggingface_wrapper
label_desc: Use image node_id 1 for calling a global function with example usage: test_make_scalar_feature() without return types