code: def _generate_dockerfile_content(
      setup_miniconda,
      setup_pyenv_and_virtualenv,
      install_mlflow,
      custom_setup_steps,
      entrypoint,
  ):
      """
      Generates a Dockerfile that can be used to build a docker image, that serves ML model
      stored and tracked in MLflow.
  
      It just takes string parameters containing docker imperatives and has no logic
      whatsoever. It will be more convenient if a more sophisticated function
      with some boolean flags would be called `generate_dockerfile`
      while this function being a backend of sorts for such function.
  
      :param setup_miniconda: Docker instructions related to set up miniconda. If used at all,
      variable `SETUP_MINICONDA` provides a working template for instructions. Should be either an
      empty string or `SETUP_MINICONDA`-based instructions :param setup_pyenv_and_virtualenv:
      Docker instructions related to set up pyenv and virtualenv. If used at all, variable
      `SETUP_PYENV_AND_VIRTUALENV` provides a working template for instructions. Should be either
      an empty string or `SETUP_PYENV_AND_VIRTUALENV`-based :param install_mlflow: Docker
      instruction for installing MLflow in given Docker context dir and optional source directory
      :param custom_setup_steps: Docker instructions for any customizations in the resulting
      Dockerfile :param entrypoint: String containing ENTRYPOINT directive for docker image
      """
      return _DOCKERFILE_TEMPLATE.format(
          setup_miniconda=setup_miniconda,
          setup_pyenv_and_virtualenv=setup_pyenv_and_virtualenv,
          install_mlflow=install_mlflow,
          custom_setup_steps=custom_setup_steps,
          entrypoint=entrypoint,
      )
  
file_path: mlflow/mlflow/models/docker_utils.py
imports: import logging
  import os
  from subprocess import PIPE, STDOUT, Popen
  from urllib.parse import urlparse
  from mlflow.utils import env_manager
  from mlflow.utils.file_utils import TempDir, _copy_project
  from mlflow.utils.logging_utils import eprint
  from mlflow.version import VERSION
label_desc: Use image node_id 3 for calling a global function with example usage: _generate_dockerfile_content(setup_miniconda, setup_pyenv_and_virtualenv, install_mlflow, custom_setup_steps, entrypoint) and returns: _DOCKERFILE_TEMPLATE