class_docstr: Specifies the Conda environment for the step.
  
  Information in this decorator will augment any
  attributes set in the `@conda_base` flow-level decorator. Hence,
  you can use `@conda_base` to set packages required by all
  steps and use `@conda` to specify step-specific overrides.
  
  Parameters
  ----------
  packages : Dict[str, str], default: {}
      Packages to use for this step. The key is the name of the package
      and the value is the version to use.
  libraries : Dict[str, str], default: {}
      Supported for backward compatibility. When used with packages, packages will take precedence.
  python : str, optional
      Version of Python to use, e.g. '3.7.4'. A default value of None implies
      that the version used will correspond to the version of the Python interpreter used to start the run.
  disabled : bool, default: False
      If set to True, disables @conda.
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code: def step_init(
      self,
      flow,
      graph,
      step,
      decos,
      environment,
      flow_datastore,
      logger,
  ):
      # The init_environment hook for Environment creates the relevant virtual
      # environments. The step_init hook sets up the relevant state for that hook to
      # do it's magic.
  
      self.flow = flow
      self.step = step
      self.environment = environment
      self.datastore = flow_datastore
  
      # Support flow-level decorator.
      if "conda_base" in self.flow._flow_decorators:
          super_attributes = self.flow._flow_decorators["conda_base"][
              0
          ].attributes
          self.attributes["packages"] = {
              **super_attributes["packages"],
              **self.attributes["packages"],
          }
          self.attributes["python"] = (
              self.attributes["python"] or super_attributes["python"]
          )
          self.attributes["disabled"] = (
              self.attributes["disabled"]
              if self.attributes["disabled"] is not None
              else super_attributes["disabled"]
          )
  
      # Set default for `disabled` argument.
      if not self.attributes["disabled"]:
          self.attributes["disabled"] = False
      # Set Python interpreter to user's Python if necessary.
      if not self.attributes["python"]:
          self.attributes[
              "python"
          ] = platform.python_version()  # CPython!
  
      # @conda uses a conda environment to create a virtual environment.
      # The conda environment can be created through micromamba.
      _supported_virtual_envs = ["conda"]
  
      # To placate people who don't want to see a shred of conda in UX, we symlink
      # --environment=pypi to --environment=conda
      _supported_virtual_envs.extend(["pypi"])
  
      # The --environment= requirement ensures that valid virtual environments are
      # created for every step to execute it, greatly simplifying the @conda
      # implementation.
      if environment.TYPE not in _supported_virtual_envs:
          raise InvalidEnvironmentException(
              "@%s decorator requires %s"
              % (
                  self.name,
                  " or ".join(
                      [
                          "--environment=%s" % env
                          for env in _supported_virtual_envs
                      ]
                  ),
              )
          )
  
      # At this point, the list of 32 bit instance types is shrinking quite rapidly.
      # We can worry about supporting them when there is a need.
  
      # TODO: This code snippet can be done away with by altering the constructor of
      #       MetaflowEnvironment. A good first-task exercise.
      # Avoid circular import
      from metaflow.plugins.datastores.local_storage import LocalStorage
  
      environment.set_local_root(
          LocalStorage.get_datastore_root_from_config(logger)
      )
  
      self.disabled = self.environment.is_disabled(
          next(step for step in self.flow if step.name == self.step)
      )
  
imports: import importlib
  import json
  import os
  import platform
  import sys
  import tempfile
  from metaflow.decorators import FlowDecorator, StepDecorator
  from metaflow.extension_support import EXT_PKG
  from metaflow.metaflow_environment import InvalidEnvironmentException
  from metaflow.util import get_metaflow_root
  from ...None import INFO_FILE
label_desc: Use image node_id 2 for calling the CondaStepDecorator obj's underlying member method code with example usage: obj.step_init(flow, graph, step, decos, environment, flow_datastore, logger) without return types