code: def generate_containerfile(
      docker: DockerOptions,
      build_ctx: str,
      *,
      conda: CondaOptions,
      bento_fs: FS,
      frontend: str = "dockerfile",
      **override_bento_env: t.Any,
  ) -> str:
      """
      Generate a Dockerfile that containerize a Bento.
  
      .. note::
  
          You should use ``construct_containerfile`` instead of this function.
  
      Returns:
          str: The rendered Dockerfile string.
  
      .. dropdown:: Implementation Notes
  
          The coresponding Dockerfile template will be determined automatically based on given :class:`DockerOptions`.
          The templates are located `here <https://github.com/bentoml/BentoML/tree/main/src/bentoml/_internal/bento/docker/templates>`_
  
          As one can see, the Dockerfile templates are organized with the format :code:`<release_type>_<distro>.j2` with:
  
          +---------------+------------------------------------------+
          | Release type  | Description                              |
          +===============+==========================================+
          | base          | A base setup for all supported distros.  |
          +---------------+------------------------------------------+
          | cuda          | CUDA-supported templates.                |
          +---------------+------------------------------------------+
          | miniconda     | Conda-supported templates.               |
          +---------------+------------------------------------------+
          | python        | Python releases.                         |
          +---------------+------------------------------------------+
  
          All templates will have the following blocks: "SETUP_BENTO_BASE_IMAGE", "SETUP_BENTO_USER", "SETUP_BENTO_ENVARS", "SETUP_BENTO_COMPONENTS", "SETUP_BENTO_ENTRYPOINT",
  
          Overriding templates variables: bento__uid_gid, bento__user, bento__home, bento__path, bento__enable_buildkit
      """
      TEMPLATES_PATH = [
          os.path.join(
              os.path.dirname(__file__),
              "frontend",
              frontend,
              "templates",
          )
      ]
      ENVIRONMENT = Environment(
          extensions=[
              "jinja2.ext.do",
              "jinja2.ext.loopcontrols",
              "jinja2.ext.debug",
          ],
          trim_blocks=True,
          lstrip_blocks=True,
          loader=FileSystemLoader(TEMPLATES_PATH, followlinks=True),
      )
  
      if docker.cuda_version is not None:
          release_type = "cuda"
      elif not conda.is_empty():
          release_type = "miniconda"
      else:
          release_type = "python"
      base = f"{release_type}_{docker.distro}.j2"
      if docker.base_image is not None:
          # If base_image is specified, then use the base template instead.
          base = "base.j2"
  
      template = ENVIRONMENT.get_template(base, globals=J2_FUNCTION)
      logger.debug(
          'Using base Dockerfile template: "%s" (path: "%s")',
          base,
          os.path.join(TEMPLATES_PATH[0], base),
      )
  
      user_templates = docker.dockerfile_template
      if user_templates is not None:
          dir_path = os.path.dirname(
              resolve_user_filepath(user_templates, build_ctx)
          )
          user_templates = os.path.basename(user_templates)
          TEMPLATES_PATH.append(dir_path)
          environment = ENVIRONMENT.overlay(
              loader=FileSystemLoader(TEMPLATES_PATH, followlinks=True)
          )
          template = environment.get_template(
              user_templates,
              globals={"bento_base_template": template, **J2_FUNCTION},
          )
  
      return template.render(
          **get_templates_variables(
              docker,
              conda,
              bento_fs,
              _is_cuda=release_type == "cuda",
              **override_bento_env,
          )
      )
  
file_path: BentoML/grpc-client/bentoml/_internal/container/generate.py
imports: from __future__ import annotations
  import logging
  import os
  import typing
  from typing import TYPE_CHECKING
  from jinja2 import Environment
  from jinja2.loaders import FileSystemLoader
  from ..configuration.containers import BentoMLContainer
  from ..utils import resolve_user_filepath
  from .frontend.dockerfile import DistroSpec
label_desc: Use image node_id 5 for calling a global function with example usage: generate_containerfile(docker, build_ctx) and returns: template