

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       __UpperCAmelCase  ( lowerCamelCase__    ,						unittest.TestCase		):
			UpperCamelCase       =  SpeechaTextaTokenizer
			UpperCamelCase       =  False



			def  __magic_name__					(							self							:  int		):
					super().setUp()

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

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

					UpperCAmelCase :							int								=				tempfile.mkdtemp()
					UpperCAmelCase :							str								=				os.path.join(self.tmpdirname,	VOCAB_FILES_NAMES['''vocab_file''']		)
					UpperCAmelCase :							Optional[Any]								=				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  __magic_name__					(							self							:  str		):
					UpperCAmelCase :							Union[str, Any]								=				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		),	1_4		)



			def  __magic_name__					(							self							:  Optional[int]		):
					self.assertEqual(self.get_tokenizer().vocab_size,	1_4		)



			def  __magic_name__					(							self							:  int		):
					UpperCAmelCase :							Dict								=				SpeechaTextaTokenizer.from_pretrained(self.tmpdirname		)

					# make sure @@ is correctly concatenated
					UpperCAmelCase :							Optional[Any]								=				[4, 6, 8, 7, 1_0]  # ["here@@", "couple", "words", "of@@", "the"]
					UpperCAmelCase :							Union[str, Any]								=				tokenizer.decode(__A		)

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



			def  __magic_name__					(							self							:  Optional[Any]		):
					UpperCAmelCase :							List[str]								=				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
							UpperCAmelCase :							Any								=				SpeechaTextaTokenizer.from_pretrained(__A		)

					with tempfile.TemporaryDirectory() as tmp_dirname:
							# save tokenizer and load again
							tokenizer.save_pretrained(__A		)
							UpperCAmelCase :							Optional[int]								=				SpeechaTextaTokenizer.from_pretrained(__A		)

					self.assertIsNotNone(__A		)





			def  __magic_name__					(							self							:  List[Any]		):







					if not self.test_slow_tokenizer:
							return

					UpperCAmelCase :							str								=				inspect.signature(self.tokenizer_class.__init__		)
					UpperCAmelCase :							Dict								=				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		)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


_lowerCamelCase       :     int           =							{}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCamelCase       :     Tuple           =							["MBart50Tokenizer"]

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCamelCase       :     List[Any]           =							["MBart50TokenizerFast"]


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_mbartaa import MBartaaTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
     import sys

     _lowerCamelCase       :     Optional[int]           =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





