code: def test_from_numpy_no_source_specified():
      features = np.array([1, 2, 3])
      mlflow_features = mlflow.data.from_numpy(features)
  
      assert isinstance(mlflow_features, NumpyDataset)
  
      assert isinstance(mlflow_features.source, CodeDatasetSource)
      assert "mlflow.source.name" in mlflow_features.source.to_json()
  
imports: import json
  import numpy
  import pandas
  import pytest
  import mlflow.data
  from mlflow.data.code_dataset_source import CodeDatasetSource
  from mlflow.data.filesystem_dataset_source import FileSystemDatasetSource
  from mlflow.data.numpy_dataset import NumpyDataset
  from mlflow.data.pyfunc_dataset_mixin import PyFuncInputsOutputs
  from mlflow.data.schema import TensorDatasetSchema
  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 11 for calling a global function with example usage: test_from_numpy_no_source_specified() without return types