
"""simple docstring"""
import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE      ,       unittest.TestCase  ):
     A__      =			MgpstrTokenizer
     A__      =			False
     A__      =			{}
     A__      =			False
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       super().setUp()

       # fmt: off
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = ["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
       # fmt: on
       _SCREAMING_SNAKE_CASE   :				str							    = dict(zip(snake_case__  ,     range(len(snake_case__				)				)				)				)

       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = os.path.join(self.tmpdirname  ,     VOCAB_FILES_NAMES["vocab_file"]				)
       with open(self.vocab_file  ,     "w"  ,     encoding="utf-8"				) as fp:
         fp.write(json.dumps(snake_case__				) + "\n"				)
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     **snake_case__				):




       """simple docstring"""


       return MgpstrTokenizer.from_pretrained(self.tmpdirname  ,     **snake_case__				)
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = "tester"
       _SCREAMING_SNAKE_CASE   :				int							    = "tester"
       return input_text, output_text
     @unittest.skip("MGP-STR always lower cases letters."				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       pass
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = self.get_tokenizers(do_lower_case=snake_case__				)
       for tokenizer in tokenizers:
         with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
           _SCREAMING_SNAKE_CASE   :				str							    = "[SPECIAL_TOKEN]"

           tokenizer.add_special_tokens({"cls_token": special_token}				)
           _SCREAMING_SNAKE_CASE   :				List[Any]							    = tokenizer.encode([special_token]  ,     add_special_tokens=snake_case__				)
           self.assertEqual(len(snake_case__				)  ,     1				)

           _SCREAMING_SNAKE_CASE   :				Optional[int]							    = tokenizer.decode(snake_case__  ,     skip_special_tokens=snake_case__				)
           self.assertTrue(special_token not in decoded				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = self.get_tokenizers()
       for tokenizer in tokenizers:
         with self.subTest(F'''{tokenizer.__class__.__name__}'''				):
           _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				List[Any]							    = self.get_input_output_texts(snake_case__				)

           _SCREAMING_SNAKE_CASE   :				Dict							    = tokenizer.tokenize(snake_case__				)
           _SCREAMING_SNAKE_CASE   :				List[str]							    = tokenizer.convert_tokens_to_ids(snake_case__				)
           _SCREAMING_SNAKE_CASE   :				int							    = tokenizer.encode(snake_case__  ,     add_special_tokens=snake_case__				)
           self.assertListEqual(snake_case__  ,     snake_case__				)

           _SCREAMING_SNAKE_CASE   :				Optional[int]							    = tokenizer.convert_ids_to_tokens(snake_case__				)
           self.assertNotEqual(len(snake_case__				)  ,     0				)
           _SCREAMING_SNAKE_CASE   :				str							    = tokenizer.decode(snake_case__				)
           self.assertIsInstance(snake_case__  ,     snake_case__				)

           self.assertEqual(text_a.replace(" "  ,     ""				)  ,     snake_case__				)
     @unittest.skip("MGP-STR tokenizer only handles one sequence."				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       pass




     @unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       pass





"""simple docstring"""
import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer





def    _lowerCAmelCase    (     lowerCamelCase__							:							str,						lowerCamelCase__							:							str,						**lowerCamelCase__							:							Optional[Any]				)  ->    Union[str, Any]:
  _SCREAMING_SNAKE_CASE   :				Dict							    = AutoConfig.from_pretrained(lowerCamelCase__,						**lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE   :				List[str]							    = AutoModelForSeqaSeqLM.from_config(lowerCamelCase__				)
  model.save_pretrained(lowerCamelCase__				)
  AutoTokenizer.from_pretrained(lowerCamelCase__				).save_pretrained(lowerCamelCase__				)
  return model


if __name__ == "__main__":
      fire.Fire(save_randomly_initialized_version)



