code: def test_model_load_input_example_numpy():
      with TempDir(chdr=True) as tmp:
          input_example = np.array([[3, 4, 5]], dtype=np.int32)
          sig = ModelSignature(
              inputs=Schema(
                  [
                      TensorSpec(
                          type=input_example.dtype,
                          shape=input_example.shape,
                      )
                  ]
              ),
              outputs=Schema([ColSpec(name=None, type="double")]),
          )
  
          local_path, _ = _log_model_with_signature_and_example(
              tmp, sig, input_example
          )
          loaded_model = Model.load(os.path.join(local_path, "MLmodel"))
          loaded_example = loaded_model.load_input_example(local_path)
  
          assert isinstance(loaded_example, np.ndarray)
          np.testing.assert_array_equal(input_example, loaded_example)
  
imports: import os
  import pathlib
  import uuid
  from datetime import date
  from unittest import mock
  import numpy
  import pandas
  import pytest
  import sklearn.datasets
  import sklearn.neighbors
  from packaging.version import Version
  from scipy.sparse import csc_matrix
  import mlflow
  from mlflow.models import Model, ModelSignature, infer_signature, validate_schema
  from mlflow.models.utils import _save_example
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.types.schema import ColSpec, DataType, ParamSchema, ParamSpec, Schema, TensorSpec
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.model_utils import _validate_and_prepare_target_save_path
  from mlflow.utils.proto_json_utils import dataframe_from_raw_json
label_desc: Use image node_id 13 for calling a global function with example usage: test_model_load_input_example_numpy() without return types