code: def pyfunc_custom_env_dict():
      return _mlflow_conda_env(
          additional_pip_deps=[
              "scikit-learn",
              "pytest",
              "cloudpickle",
              "-e " + os.path.dirname(mlflow.__path__[0]),
          ],
      )
  
imports: import os
  import pickle
  import numpy
  import pytest
  import sklearn.datasets
  import sklearn.linear_model
  import sklearn.neighbors
  import yaml
  import mlflow
  import mlflow.pyfunc
  import mlflow.pyfunc.model
  import mlflow.sklearn
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model, infer_signature
  from mlflow.models.utils import _read_example
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.model_utils import _get_flavor_configuration
  from tests.helper_functions import _assert_pip_requirements
label_desc: Use image node_id 3 for calling a global function with example usage: pyfunc_custom_env_dict() and returns: _mlflow_conda_env