code: def get_default_conda_env():
      """
      :return: The default Conda environment for MLflow Models produced by calls to
               :func:`save_model()` and :func:`log_model()`.
      """
      import ludwig
  
      # Ludwig is not yet available via the default conda channels, so we install it via pip
      return _mlflow_conda_env(
          additional_conda_deps=None,
          additional_pip_deps=[f"ludwig=={ludwig.__version__}"],
          additional_conda_channels=None,
      )
  
imports: import logging
  import os
  import shutil
  import mlflow
  import yaml
  from mlflow import pyfunc
  from mlflow.exceptions import MlflowException
  from mlflow.models import Model
  from mlflow.models.model import MLMODEL_FILE_NAME
  from mlflow.models.signature import ModelSignature
  from mlflow.models.utils import _save_example, ModelInputExample
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.model_utils import _get_flavor_configuration
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.globals import MODEL_HYPERPARAMETERS_FILE_NAME
  from ludwig.utils.data_utils import load_json
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_conda_env() and returns: _mlflow_conda_env