




import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin
class       __a					( __lowerCamelCase							,     unittest.TestCase     ):


     """simple docstring"""


     _A				:    Optional[Any]									=  SpeechaTextaTokenizer
     _A				:    List[Any]									=  False




     def   __A				(	self			: Any						)		->   str:


         '''simple docstring'''





         super().setUp()

         SCREAMING_SNAKE_CASE__								="""<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab""".split(""" """						)
         SCREAMING_SNAKE_CASE__								=["""he re</w> 123""", """here a 1456"""]
         SCREAMING_SNAKE_CASE__								=dict(zip(_UpperCamelCase				,range(len(_UpperCamelCase						)						)						)						)

         SCREAMING_SNAKE_CASE__								={"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

         SCREAMING_SNAKE_CASE__								=tempfile.mkdtemp()
         SCREAMING_SNAKE_CASE__								=os.path.join(self.tmpdirname				,VOCAB_FILES_NAMES["""vocab_file"""]						)
         SCREAMING_SNAKE_CASE__								=os.path.join(self.tmpdirname				,VOCAB_FILES_NAMES["""merges_file"""]						)

         with open(self.vocab_file				,"""w"""				,encoding="""utf-8"""						) as fp:
             fp.write(json.dumps(_UpperCamelCase						) + """\n"""						)

         with open(self.merges_file				,"""w"""						) as fp:
             fp.write("""\n""".join(_UpperCamelCase						)						)




     def   __A				(	self			: Any						)		->   Union[str, Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=list(self.get_tokenizer().get_vocab().keys()						)

         self.assertEqual(vocab_keys[0]				,"""<s>"""						)
         self.assertEqual(vocab_keys[1]				,"""<pad>"""						)
         self.assertEqual(vocab_keys[-1]				,"""vocab"""						)
         self.assertEqual(len(_UpperCamelCase						)				,1_4						)




     def   __A				(	self			: Optional[Any]						)		->   int:


         '''simple docstring'''





         self.assertEqual(self.get_tokenizer().vocab_size				,1_4						)




     def   __A				(	self			: Union[str, Any]						)		->   Dict:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=SpeechaTextaTokenizer.from_pretrained(self.tmpdirname						)

         # make sure @@ is correctly concatenated
         SCREAMING_SNAKE_CASE__								=[4, 6, 8, 7, 1_0]  # ["here@@", "couple", "words", "of@@", "the"]
         SCREAMING_SNAKE_CASE__								=tokenizer.decode(_UpperCamelCase						)

         self.assertTrue(output_string == """herecouple words ofthe"""						)




     def   __A				(	self			: Any						)		->   List[str]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=SpeechaTextaTokenizer.from_pretrained(self.tmpdirname						)

         with tempfile.TemporaryDirectory() as tmp_dirname:
             tokenizer.save_pretrained(_UpperCamelCase						)
             os.remove(os.path.join(_UpperCamelCase				,"""merges.txt"""						)						)

             # load tokenizer without merges file should not throw an error
             SCREAMING_SNAKE_CASE__								=SpeechaTextaTokenizer.from_pretrained(_UpperCamelCase						)

         with tempfile.TemporaryDirectory() as tmp_dirname:
             # save tokenizer and load again
             tokenizer.save_pretrained(_UpperCamelCase						)
             SCREAMING_SNAKE_CASE__								=SpeechaTextaTokenizer.from_pretrained(_UpperCamelCase						)

         self.assertIsNotNone(_UpperCamelCase						)




     def   __A				(	self			: str						)		->   Tuple:


         '''simple docstring'''





         if not self.test_slow_tokenizer:
             return

         SCREAMING_SNAKE_CASE__								=inspect.signature(self.tokenizer_class.__init__						)
         SCREAMING_SNAKE_CASE__								=self.get_tokenizer()

         for parameter_name, parameter in signature.parameters.items():
             if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
                 self.assertIn(_UpperCamelCase				,tokenizer.init_kwargs						)












def 	UpperCAmelCase_    (	__UpperCamelCase,				__UpperCamelCase	):
    SCREAMING_SNAKE_CASE__								=1.0
    for i in range(1,				r + 1	):
        ret *= (n + 1 - i) / i
    return round(__UpperCamelCase	)



def 	UpperCAmelCase_    (	__UpperCamelCase	):
    return choose(8 + n,				__UpperCamelCase	) + choose(9 + n,				__UpperCamelCase	) - 10



def 	UpperCAmelCase_    (	__UpperCamelCase	):
    return sum(non_bouncy_exact(__UpperCamelCase	) for i in range(1,				n + 1	)	)



def 	UpperCAmelCase_    (	__UpperCamelCase = 100	):
    return non_bouncy_upto(__UpperCamelCase	)


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






