




'''simple docstring'''







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   _snake_case( UpperCAmelCase					,   unittest.TestCase			):
 __snake_case:       str									=				SpeechaTextaTokenizer
 __snake_case:       List[Any]									=				False






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






    """simple docstring"""


    super().setUp()

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

    A__         =    {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

    A__         =    tempfile.mkdtemp()
    A__         =    os.path.join(self.tmpdirname						,		VOCAB_FILES_NAMES['vocab_file']						)
    A__         =    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(a						) + '\n'						)

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






 def 	_UpperCamelCase   (self					:     Tuple						)					->      List[str]:






    """simple docstring"""


    A__         =    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(a						)						,		14						)






 def 	_UpperCamelCase   (self					:     Tuple						)					->      Optional[int]:






    """simple docstring"""


    self.assertEqual(self.get_tokenizer().vocab_size						,		14						)






 def 	_UpperCamelCase   (self					:     Dict						)					->      Dict:






    """simple docstring"""


    A__         =    SpeechaTextaTokenizer.from_pretrained(self.tmpdirname						)

    # make sure @@ is correctly concatenated
    A__         =    [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
    A__         =    tokenizer.decode(a						)

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






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






    """simple docstring"""


    A__         =    SpeechaTextaTokenizer.from_pretrained(self.tmpdirname						)

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

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

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

    self.assertIsNotNone(a						)






 def 	_UpperCamelCase   (self					:     Union[str, Any]						)					->      Optional[int]:






    """simple docstring"""


    if not self.test_slow_tokenizer:
       return

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

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








'''simple docstring'''







def 	_A			(   UpperCAmelCase	):






   '''simple docstring'''







   if not isinstance(UpperCAmelCase			,UpperCAmelCase	) or not all(
       isinstance(UpperCAmelCase			,UpperCAmelCase	) and item >= 0 for item in citations	):
      raise ValueError('The citations should be a list of non negative integers.'	)

   citations.sort()
   A__         =    len(UpperCAmelCase	)

   for i in range(UpperCAmelCase	):
      if citations[len_citations - 1 - i] <= i:
         return i

   return len_citations


if __name__ == "__main__":
    import doctest

    doctest.testmod()


