code: def does_fit_in_space(root, space):
      """Determine if the subset of `root` identified by `space` fits within dimensions of `space`
  
      Parameters
      ----------
      root: Object
          Iterable, whose values at the locations specified in `space` will be checked. For each
          dimension in `space`, the dimension's `location`/`name` is looked up in `root`, and the
          value is tested to see if it falls within the dimension's range of allowed values
      space: `space.space_core.Space`
          Instance of :class:`space.space_core.Space` that defines dimension choices for select
          hyperparameters. Each dimension in `space` should have an appropriate `name`
          (or `location`, if necessary) attribute to match `root`
  
      Returns
      -------
      Boolean
          True if `root` subset (at `space` locations) fits in `space` dimensions. Else, False
      """
      return dimension_subset(root, space.names()) in space
  
file_path: hyperparameter_hunter/hyperparameter_hunter/utils/optimization_utils.py
imports: from hyperparameter_hunter.i_o.exceptions import ContinueRemap
  from hyperparameter_hunter.keys.hashing import make_hash_sha256
  from hyperparameter_hunter.space.dimensions import Real, Integer, Categorical, RejectedOptional
  from hyperparameter_hunter.utils.boltons_utils import get_path, remap
  from hyperparameter_hunter.utils.file_utils import read_json
  from hyperparameter_hunter.utils.general_utils import extra_enter_attrs
  from contextlib import suppress
  import pandas
label_desc: Use image node_id 4 for calling a global function with example usage: does_fit_in_space(root, space) and returns: unknown