class_docstr: Flavor backend implementation for the generic python models.
code: def can_score_model(self):
      if self._env_manager == _EnvManager.LOCAL:
          # noconda => already in python and dependencies are assumed to be installed.
          return True
      conda_path = get_conda_bin_executable("conda")
      try:
          p = subprocess.Popen(
              [conda_path, "--version"],
              stdout=subprocess.PIPE,
              stderr=subprocess.PIPE,
          )
          _, _ = p.communicate()
          return p.wait() == 0
      except FileNotFoundError:
          # Can not find conda
          return False
  
imports: import ctypes
  import logging
  import os
  import pathlib
  import posixpath
  import shlex
  import signal
  import subprocess
  import sys
  import warnings
  from pathlib import Path
  from mlflow.environment_variables import MLFLOW_DISABLE_ENV_CREATION
  from mlflow.exceptions import MlflowException
  from mlflow.models import FlavorBackend
  from mlflow.models.container import ENABLE_MLSERVER
  from mlflow.models.docker_utils import SETUP_MINICONDA, SETUP_PYENV_AND_VIRTUALENV, _build_image, _generate_dockerfile_content, _get_mlflow_install_step
  from mlflow.pyfunc import ENV, _extract_conda_env, _mlflow_pyfunc_backend_predict, mlserver, scoring_server
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils import env_manager
  from mlflow.utils.conda import get_conda_bin_executable, get_or_create_conda_env
  from mlflow.utils.environment import Environment
  from mlflow.utils.file_utils import get_or_create_nfs_tmp_dir, get_or_create_tmp_dir, path_to_local_file_uri
  from mlflow.utils.nfs_on_spark import get_nfs_cache_root_dir
  from mlflow.utils.process import ShellCommandException, cache_return_value_per_process
  from mlflow.utils.virtualenv import _get_or_create_virtualenv, _get_pip_install_mlflow
  from mlflow.version import VERSION
label_desc: Use image node_id 6 for calling the PyFuncBackend obj's underlying member method code with example usage: obj.can_score_model() and returns: True, unknown, False