code: def make_trie(
      alphabet,
      words,
      compressed=True,
      is_numpied=False,
      make_cashed=False,
      precompute_symbols=False,
      allow_spaces=False,
      dict_storage=False,
  ):
      trie = Trie(
          alphabet,
          is_numpied=is_numpied,
          to_make_cashed=make_cashed,
          precompute_symbols=precompute_symbols,
          dict_storage=dict_storage,
      )
      trie.fit(words)
      if compressed:
          tm = TrieMinimizer()
          trie = tm.minimize(
              trie,
              dict_storage=dict_storage,
              make_cashed=make_cashed,
              make_numpied=is_numpied,
              precompute_symbols=precompute_symbols,
              allow_spaces=allow_spaces,
          )
      return trie
  
imports: import copy
  from collections import defaultdict
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: make_trie(alphabet, words, compressed, is_numpied, make_cashed, precompute_symbols, allow_spaces, dict_storage) and returns: trie