code: def spark_custom_env(tmp_path):
      conda_env = str(tmp_path / "conda_env.yml")
      additional_pip_deps = ["pyspark", "pytest"]
      if Version(pyspark.__version__) <= Version("3.3.2"):
          # Versions of PySpark <= 3.3.2 are incompatible with pandas >= 2
          additional_pip_deps.append("pandas<2")
      _mlflow_conda_env(
          conda_env, additional_pip_deps=additional_pip_deps
      )
      return conda_env
  
imports: import json
  import os
  from pathlib import Path
  from unittest import mock
  import pandas
  import pyspark
  import pytest
  from johnsnowlabs import nlp
  from packaging.version import Version
  import mlflow
  import mlflow.utils.file_utils
  from mlflow import pyfunc
  from mlflow.environment_variables import MLFLOW_DFS_TMP
  from mlflow.models import Model, infer_signature
  from mlflow.models.utils import _read_example
  from mlflow.pyfunc import spark_udf
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.file_utils import TempDir
  from tests.helper_functions import assert_register_model_called_with_local_model_path
label_desc: Use image node_id 7 for calling a global function with example usage: spark_custom_env(tmp_path) and returns: conda_env