code: def test_model_log_with_signature_inference(basic_model):
      artifact_path = "model"
  
      with mlflow.start_run():
          mlflow.sentence_transformers.log_model(
              basic_model,
              artifact_path=artifact_path,
              input_example=SENTENCES,
          )
          model_uri = mlflow.get_artifact_uri(artifact_path)
  
      model_info = Model.load(model_uri)
      assert model_info.signature == SIGNATURE
  
imports: import json
  import os
  from unittest import mock
  import numpy
  import pandas
  import pytest
  import yaml
  from pyspark.sql import SparkSession
  from pyspark.sql.types import ArrayType, DoubleType
  from sentence_transformers import SentenceTransformer
  import mlflow
  import mlflow.pyfunc.scoring_server
  import mlflow.sentence_transformers
  from mlflow import pyfunc
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model, infer_signature
  from mlflow.models.utils import _read_example
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.utils.environment import _mlflow_conda_env
  from tests.helper_functions import _assert_pip_requirements, _compare_logged_code_paths, _mlflow_major_version_string, assert_register_model_called_with_local_model_path, pyfunc_serve_and_score_model
label_desc: Use image node_id 22 for calling a global function with example usage: test_model_log_with_signature_inference(basic_model) without return types