code: def _install_targetpath(
      ds,
      target_path,
      recursive,
      recursion_limit,
      reckless,
      refds_path,
      description,
      jobs=None,
  ):
      """Helper to install as many subdatasets as needed to verify existence
      of a target path
  
      Parameters
      ==========
      ds : Dataset
        Locally available dataset that contains the target path
      target_path : Path
      """
      # if it is an empty dir, it could still be a subdataset that is missing
      if (target_path.is_dir() and any(target_path.iterdir())) or (
          not target_path.is_dir()
          and (target_path.is_symlink() or target_path.exists())
      ):
          yield dict(
              action="get",
              type="dataset",
              # this cannot just be the dataset path, as the original
              # situation of datasets avail on disk can have changed due
              # to subdataset installation. It has to be actual subdataset
              # it resides in, because this value is used to determine which
              # dataset to call `annex-get` on
              # TODO stringification is a PY35 compatibility kludge
              path=get_dataset_root(str(target_path)),
              status="notneeded",
              contains=[target_path],
              refds=refds_path,
          )
      else:
          # we don't have it yet. is it in a subdataset?
          for res in _install_necessary_subdatasets(
              ds,
              target_path,
              reckless,
              refds_path,
              description=description,
          ):
              if target_path.is_symlink() or target_path.exists():
                  # this dataset brought the path, mark for annex
                  # processing outside
                  res["contains"] = [target_path]
              # just spit it out
              yield res
          if not (target_path.is_symlink() or target_path.exists()):
              # looking for subdatasets did not help -> all hope is lost
              yield dict(
                  action="get",
                  path=str(target_path),
                  status="impossible",
                  refds=refds_path,
                  message="path does not exist",
              )
              return
      # we have the target path
      if not (
          recursive
          # and not recursion_limit == 'existing' \
          and target_path.is_dir()
      ):
          # obtain any subdatasets underneath the paths given
          # a non-directory cannot have content underneath
          return
      if recursion_limit == "existing":
          for res in ds.subdatasets(
              state="present",
              path=target_path,
              recursive=recursive,
              recursion_limit=recursion_limit,
              return_type="generator",
              result_renderer="disabled",
          ):
              res.update(
                  contains=[Path(res["path"])],
                  action="get",
                  status="notneeded",
              )
              yield res
          return
      lgr.info(
          "Ensuring presence of %s%s",
          ds,
          (
              " to get %s" % target_path
              if ds.path != target_path
              else ""
          ),
      )
      for res in _recursive_install_subds_underneath(
          ds,
          # target_path was explicitly given as input
          # we count recursions from the input, hence we
          # can start with the full number
          recursion_limit,
          reckless,
          # TODO keep Path when RF is done
          start=str(target_path),
          refds_path=refds_path,
          description=description,
          jobs=jobs,
      ):
          # yield immediately so errors could be acted upon
          # outside, before we continue
          res.update(
              # do not override reported action, could be anything
              # action='get',
              contains=[Path(res["path"])],
          )
          yield res
  
imports: import logging
  import re
  import os.path
  from datalad.config import ConfigManager
  from datalad.interface.base import Interface, eval_results
  from datalad.interface.base import build_doc
  from datalad.interface.results import get_status_dict, results_from_paths, annexjson2result, success_status_map, results_from_annex_noinfo
  from datalad.interface.common_opts import recursion_flag, location_description, jobs_opt, reckless_opt
  from datalad.interface.results import is_ok_dataset
  from datalad.support.constraints import EnsureInt, EnsureChoice, EnsureStr, EnsureNone
  from datalad.support.collections import ReadOnlyDict
  from datalad.support.param import Parameter
  from datalad.support.annexrepo import AnnexRepo
  from datalad.support.gitrepo import GitRepo, _fixup_submodule_dotgit_setup
  from datalad.support.exceptions import CapturedException, CommandError, InsufficientArgumentsError
  from datalad.support.network import URL, RI, urlquote
  from datalad.support.parallel import ProducerConsumerProgressLog
  from datalad.utils import unique, Path, get_dataset_root, shortened_repr
  from datalad.local.subdatasets import Subdatasets
  from datalad.distribution.dataset import Dataset, EnsureDataset, datasetmethod, require_dataset
  from datalad.core.distributed.clone import clone_dataset
  from datalad.distribution.utils import _get_flexible_source_candidates
label_desc: Use image node_id 6 for calling a global function with example usage: _install_targetpath(ds, target_path, recursive, recursion_limit, reckless, refds_path, description, jobs) without return types