code: def sktime_custom_env(tmp_path):
      """Create a conda environment and returns path to conda environment yml file."""
      from mlflow.utils.environment import _mlflow_conda_env
  
      conda_env = tmp_path.joinpath("conda_env.yml")
      _mlflow_conda_env(conda_env, additional_pip_deps=["sktime"])
      return conda_env
  
imports: import os
  import sys
  from pathlib import Path
  from unittest import mock
  import numpy
  import pandas
  import pytest
  from sktime.datasets import load_airline, load_arrow_head, load_longley
  from sktime.forecasting.arima import AutoARIMA
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.split import temporal_train_test_split
  from sktime.utils.multiindex import flatten_multiindex
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 3 for calling a global function with example usage: sktime_custom_env(tmp_path) and returns: conda_env