code: def test_digest_computation_succeeds_with_none_element_in_numpy_iterator():
      x = np.array([[0, 1], [1, 2]])
      tf_dataset = tf.data.Dataset.from_tensors(x)
      tf_dataset.as_numpy_iterator = lambda: [None, x]
      mlflow_ds = mlflow.data.from_tensorflow(tf_dataset)
      assert mlflow_ds.digest == "bc8ef018"
  
imports: import json
  import numpy
  import pytest
  import tensorflow
  import mlflow.data
  from mlflow.data.code_dataset_source import CodeDatasetSource
  from mlflow.data.pyfunc_dataset_mixin import PyFuncInputsOutputs
  from mlflow.data.schema import TensorDatasetSchema
  from mlflow.data.tensorflow_dataset import TensorFlowDataset
  from mlflow.exceptions import MlflowException
  from mlflow.models.evaluation.base import EvaluationDataset
  from mlflow.types.utils import _infer_schema
  from tests.resources.data.dataset_source import TestDatasetSource
label_desc: Use image node_id 19 for calling a global function with example usage: test_digest_computation_succeeds_with_none_element_in_numpy_iterator() without return types