code: def group_by_key_prefix_and_remove_prefix(prefix, d):
      kwargs_with_prefix, kwargs = group_dict_by_key(
          lambda x: string_begins_with(prefix, x), d
      )
      kwargs_without_prefix = dict(
          map(
              lambda x: (x[0][len(prefix) :], x[1]),
              tuple(kwargs_with_prefix.items()),
          )
      )
      return kwargs_without_prefix, kwargs
  
file_path: performer-pytorch/performer_pytorch/performer_enc_dec.py
imports: import re
  import torch
  from torch import nn
  from performer_pytorch.performer_pytorch import PerformerLM
  from performer_pytorch.autoregressive_wrapper import AutoregressiveWrapper
label_desc: Use image node_id 4 for calling a global function with example usage: group_by_key_prefix_and_remove_prefix(prefix, d) and returns: kwargs_without_prefix,  kwargs