code: def _unwind_values(values):
      if values is None:
          return None
  
      while any(etau.is_container(v) for v in values):
          values = list(
              itertools.chain.from_iterable(v for v in values if v)
          )
  
      return np.array(values)
  
imports: import itertools
  import warnings
  import numpy
  import sklearn.linear_model
  import sklearn.metrics
  import eta.core.serial
  import eta.core.utils
  import fiftyone.core.expressions
  import fiftyone.core.labels
label_desc: Use image node_id 8 for calling a global function with example usage: _unwind_values(values) and returns: np, None