
'''simple docstring'''







import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 		snake_case_       (						A__		,	unittest.TestCase						):



   """simple docstring"""





   __lowerCAmelCase	:							int								=BertweetTokenizer
   __lowerCAmelCase	:							Tuple								=False







   def     __UpperCAmelCase      ( self):
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          lowerCamelCase__				   =      ["I", "m", "V@@", "R@@", "r", "e@@"]
          lowerCamelCase__				   =      dict(zip(UpperCamelCase			,   range(len(UpperCamelCase))))
          lowerCamelCase__				   =      ["#version: 0.2", "a m</w>"]
          lowerCamelCase__				   =      {"unk_token": "<unk>"}

          lowerCamelCase__				   =      os.path.join(self.tmpdirname			,   VOCAB_FILES_NAMES["vocab_file"])
          lowerCamelCase__				   =      os.path.join(self.tmpdirname			,   VOCAB_FILES_NAMES["merges_file"])
          with open(self.vocab_file			,   "w"			,   encoding="utf-8") as fp:
                 for token in vocab_tokens:
                        fp.write(f"""{token} {vocab_tokens[token]}\n""")
          with open(self.merges_file			,   "w"			,   encoding="utf-8") as fp:
                 fp.write("\n".join(UpperCamelCase))







   def     __UpperCAmelCase      ( self			,   **UpperCamelCase):
          kwargs.update(self.special_tokens_map)
          return BertweetTokenizer.from_pretrained(self.tmpdirname			,   **UpperCamelCase)







   def     __UpperCAmelCase      ( self			,   UpperCamelCase):
          lowerCamelCase__				   =      "I am VinAI Research"
          lowerCamelCase__				   =      "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
          return input_text, output_text







   def     __UpperCAmelCase      ( self):
          lowerCamelCase__				   =      BertweetTokenizer(self.vocab_file			,   self.merges_file			,   **self.special_tokens_map)
          lowerCamelCase__				   =      "I am VinAI Research"
          lowerCamelCase__				   =      "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
          lowerCamelCase__				   =      tokenizer.tokenize(UpperCamelCase)
          self.assertListEqual(UpperCamelCase			,   UpperCamelCase)

          lowerCamelCase__				   =      tokens + [tokenizer.unk_token]

          lowerCamelCase__				   =      [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase)			,   UpperCamelCase)



'''simple docstring'''







from collections import defaultdict







def   lowerCAmelCase(  a__    :  int = 5      ):







       '''simple docstring'''






       lowerCamelCase__				   =      defaultdict(a__      )
       lowerCamelCase__				   =      0

       while True:
              lowerCamelCase__				   =      get_digits(a__      )
              freqs[digits].append(a__      )

              if len(freqs[digits]      ) == max_base:
                     lowerCamelCase__				   =      freqs[digits][0] ** 3
                     return base

              num += 1







def   lowerCAmelCase(  a__    :  int      ):







       '''simple docstring'''






       return "".join(sorted(str(num**3      )      )      )


if __name__ == "__main__":
    print(f'{solution() = }')

