code: def get_tkd_value(tensor_keyed_dict, tensor, allclose_kwargs=None):
      
      if allclose_kwargs is None:
          allclose_kwargs = {}
      for tkey, value in tensor_keyed_dict.items():
          if np.allclose(tensor, tkey, **allclose_kwargs):
              return value
docs: Helper function to find a value in a tensor-keyed-
      dictionary using an approximation to the key.  This
      is useful if rounding errors in construction occur
      or hashing issues arise in tensor-keyed-dictionaries
      (e. g. from symmetry_reduce).  Resolves most
      hashing issues, and is preferable to redefining
      eq methods in the base tensor class.
  
      Args:
          tensor_keyed_dict (dict): dict with Tensor keys
          tensor (Tensor): tensor to find value of in the dict
          allclose_kwargs (dict): dict of keyword-args
              to pass to allclose.