code: def bootstrap_commands(self, step_name, datastore_type):
      # Bootstrap conda and execution environment for step
      step = next(step for step in self.flow if step.name == step_name)
      id_ = self.get_environment(step).get("id_")
      if id_:
          return [
              "echo 'Bootstrapping virtual environment...'",
              # We have to prevent the tracing module from loading,
              # as the bootstrapping process uses the internal S3 client which would fail to import tracing
              # due to the required dependencies being bundled into the conda environment,
              # which is yet to be initialized at this point.
              'DISABLE_TRACING=True python -m metaflow.plugins.pypi.bootstrap "%s" %s "%s" linux-64'
              % (self.flow.name, id_, self.datastore_type),
              "echo 'Environment bootstrapped.'",
              "export PATH=$PATH:$(pwd)/micromamba",
          ]
      else:
          # for @conda/@pypi(disabled=True).
          return super().bootstrap_commands(step_name, datastore_type)
  
imports: import copy
  import errno
  import fcntl
  import functools
  import io
  import json
  import os
  import sys
  import time
  from concurrent.futures import ThreadPoolExecutor
  from hashlib import sha256
  from io import BufferedIOBase
  from itertools import chain
  from urllib.parse import unquote, urlparse
  import requests
  from metaflow.exception import MetaflowException
  from metaflow.metaflow_config import get_pinned_conda_libs
  from metaflow.metaflow_environment import MetaflowEnvironment
  from metaflow.metaflow_profile import profile
  from .None import MAGIC_FILE, _datastore_packageroot
  from .utils import conda_platform
label_desc: Use image node_id 13 for calling the CondaEnvironment obj's underlying member method code with example usage: obj.bootstrap_commands(step_name, datastore_type) and returns: list, super