

'''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     SCREAMING_SNAKE_CASE__     (						__a ,	unittest.TestCase		):





       '''simple docstring'''




       UpperCamelCase__ :     Any				    =       SpeechaTextaTokenizer
       UpperCamelCase__ :     List[Any]				    =       False

       def UpperCAmelCase_						(						self       :						List[Any]							)			->    Optional[Any]:
             super().setUp()

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

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

             snake_case__					=   tempfile.mkdtemp()
             snake_case__					=   os.path.join(self.tmpdirname    ,		VOCAB_FILES_NAMES["""vocab_file"""]							)
             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(lowerCAmelCase__							) + """\n"""							)

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

       def UpperCAmelCase_						(						self       :						Optional[int]							)			->    List[Any]:
             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(lowerCAmelCase__							)    ,		14							)

       def UpperCAmelCase_						(						self       :						List[Any]							)			->    str:
             self.assertEqual(self.get_tokenizer().vocab_size    ,		14							)

       def UpperCAmelCase_						(						self       :						Dict							)			->    List[Any]:
             snake_case__					=   SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

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

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

       def UpperCAmelCase_						(						self       :						Tuple							)			->    str:
             snake_case__					=   SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

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

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

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

             self.assertIsNotNone(lowerCAmelCase__							)

       def UpperCAmelCase_						(						self       :						Dict							)			->    Dict:







             if not self.test_slow_tokenizer:
                   return

             snake_case__					=   inspect.signature(self.tokenizer_class.__init__							)
             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(lowerCAmelCase__    ,		tokenizer.init_kwargs							)









import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_reformer import ReformerTokenizer
else:
       lowerCAmelCase						:   Union[str, Any]										=    None


lowerCAmelCase						:   str										=    logging.get_logger(__name__)


lowerCAmelCase						:   Any										=    '''▁'''

lowerCAmelCase						:   Tuple										=    {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase						:   Optional[Any]										=    {
    '''vocab_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'''
        )
    },
    '''tokenizer_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'''
        )
    },
}

lowerCAmelCase						:   Union[str, Any]										=    {
    '''google/reformer-crime-and-punishment''': 52_4288,
}
class     SCREAMING_SNAKE_CASE__     (						__a		):





       '''simple docstring'''




       UpperCamelCase__ :     Union[str, Any]				    =       VOCAB_FILES_NAMES
       UpperCamelCase__ :     str				    =       PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase__ :     str				    =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase__ :     str				    =       ['''input_ids''', '''attention_mask''']
       UpperCamelCase__ :     Optional[Any]				    =       ReformerTokenizer

       def __init__(						self       :						List[str]    ,		lowerCAmelCase__       :						Tuple=None    ,		lowerCAmelCase__       :						Optional[Any]=None    ,		lowerCAmelCase__       :						Dict="</s>"    ,		lowerCAmelCase__       :						Tuple="<unk>"    ,		lowerCAmelCase__       :						Dict=[]    ,		**lowerCAmelCase__       :						Optional[Any]    ,		)			->    Dict:
             super().__init__(
                 lowerCAmelCase__    ,		tokenizer_file=lowerCAmelCase__    ,		eos_token=lowerCAmelCase__    ,		unk_token=lowerCAmelCase__    ,		additional_special_tokens=lowerCAmelCase__    ,		**lowerCAmelCase__    ,		)

             snake_case__					=   vocab_file
             snake_case__					=   False if not self.vocab_file else True

       def UpperCAmelCase_						(						self       :						int    ,		lowerCAmelCase__       :						str    ,		lowerCAmelCase__       :						Optional[str] = None							)			->    Tuple[str]:
             if not self.can_save_slow_tokenizer:
                   raise ValueError(
                       """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                       """tokenizer."""							)

             if not os.path.isdir(lowerCAmelCase__							):
                   logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''							)
                   return
             snake_case__					=   os.path.join(
                 lowerCAmelCase__    ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)

             if os.path.abspath(self.vocab_file							) != os.path.abspath(lowerCAmelCase__							):
                   copyfile(self.vocab_file    ,		lowerCAmelCase__							)

             return (out_vocab_file,)






