



'''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 				__lowerCAmelCase(							lowerCAmelCase__		,			unittest.TestCase      ):
			__snake_case  :		str		=      SpeechaTextaTokenizer
			__snake_case  :		str		=      False






			def 				_lowercase	(   self  :							Union[str, Any]	):




					"""simple docstring"""







					super().setUp()

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

					SCREAMING_SNAKE_CASE_						:List[str]										=      {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

					SCREAMING_SNAKE_CASE_						:List[str]										=      tempfile.mkdtemp()
					SCREAMING_SNAKE_CASE_						:Tuple										=      os.path.join(self.tmpdirname      ,       VOCAB_FILES_NAMES['vocab_file']	)
					SCREAMING_SNAKE_CASE_						:int										=      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(SCREAMING_SNAKE_CASE	) + '\n'	)

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






			def 				_lowercase	(   self  :							Optional[int]	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:List[str]										=      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(SCREAMING_SNAKE_CASE	)      ,       14	)






			def 				_lowercase	(   self  :							Tuple	):




					"""simple docstring"""







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






			def 				_lowercase	(   self  :							Dict	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:List[Any]										=      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

					# make sure @@ is correctly concatenated
					SCREAMING_SNAKE_CASE_						:Tuple										=      [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
					SCREAMING_SNAKE_CASE_						:str										=      tokenizer.decode(SCREAMING_SNAKE_CASE	)

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






			def 				_lowercase	(   self  :							Optional[int]	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:List[Any]										=      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

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

							# load tokenizer without merges file should not throw an error
							SCREAMING_SNAKE_CASE_						:Optional[Any]										=      SpeechaTextaTokenizer.from_pretrained(SCREAMING_SNAKE_CASE	)

					with tempfile.TemporaryDirectory() as tmp_dirname:
							# save tokenizer and load again
							tokenizer.save_pretrained(SCREAMING_SNAKE_CASE	)
							SCREAMING_SNAKE_CASE_						:Any										=      SpeechaTextaTokenizer.from_pretrained(SCREAMING_SNAKE_CASE	)

					self.assertIsNotNone(SCREAMING_SNAKE_CASE	)






			def 				_lowercase	(   self  :							int	):




					"""simple docstring"""







					if not self.test_slow_tokenizer:
							return

					SCREAMING_SNAKE_CASE_						:int										=      inspect.signature(self.tokenizer_class.__init__	)
					SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      self.get_tokenizer()

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





'''simple docstring'''







from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__     : int				=   {"""configuration_bert_generation""": ["""BertGenerationConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__     : List[Any]				=   ["""BertGenerationTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__     : Optional[Any]				=   [
							    """BertGenerationDecoder""",
							    """BertGenerationEncoder""",
							    """BertGenerationPreTrainedModel""",
							    """load_tf_weights_in_bert_generation""",
							]


if TYPE_CHECKING:
							from .configuration_bert_generation import BertGenerationConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_bert_generation import BertGenerationTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_bert_generation import (
														    BertGenerationDecoder,
														    BertGenerationEncoder,
														    BertGenerationPreTrainedModel,
														    load_tf_weights_in_bert_generation,
														)

else:
							import sys

							SCREAMING_SNAKE_CASE__     : Any				=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
