






import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class  __UpperCAmelCase						(_UpperCAmelCase			,unittest.TestCase       ):
			__snake_case							: Any							=				MPNetTokenizer
			__snake_case							: List[Any]							=				MPNetTokenizerFast
			__snake_case							: Tuple							=				True
			__snake_case							: Dict							=				True







			def 				UpperCamelCase (      self:    Any	):







									'''simple docstring'''




									super().setUp()

									_SCREAMING_SNAKE_CASE       =    [
									    """[UNK]""",
									    """[CLS]""",
									    """[SEP]""",
									    """[PAD]""",
									    """[MASK]""",
									    """want""",
									    """##want""",
									    """##ed""",
									    """wa""",
									    """un""",
									    """runn""",
									    """##ing""",
									    """,""",
									    """low""",
									    """lowest""",
									]
									_SCREAMING_SNAKE_CASE       =    os.path.join(self.tmpdirname ,      VOCAB_FILES_NAMES["""vocab_file"""]	)
									with open(self.vocab_file ,      """w""" ,      encoding="""utf-8"""	) as vocab_writer:
															vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]	)	)







			def 				UpperCamelCase (      self:    Optional[Any] ,      UpperCAmelCase_:    List[Any]	):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE       =    """UNwant\u00E9d,running"""
									_SCREAMING_SNAKE_CASE       =    """unwanted, running"""
									return input_text, output_text







			def 				UpperCamelCase (      self:    Optional[Any]	):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE       =    self.tokenizer_class(self.vocab_file	)

									_SCREAMING_SNAKE_CASE       =    tokenizer.tokenize("""UNwant\u00E9d,running"""	)
									self.assertListEqual(UpperCAmelCase_ ,      ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]	)
									self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_	) ,      [9, 6, 7, 12, 10, 11]	)







			@slow
			def 				UpperCamelCase (      self:    int	):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE       =    self.tokenizer_class.from_pretrained("""microsoft/mpnet-base"""	)

									_SCREAMING_SNAKE_CASE       =    tokenizer.encode("""sequence builders""" ,      add_special_tokens=UpperCAmelCase_	)
									_SCREAMING_SNAKE_CASE       =    tokenizer.encode("""multi-sequence build""" ,      add_special_tokens=UpperCAmelCase_	)

									_SCREAMING_SNAKE_CASE       =    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_	)
									_SCREAMING_SNAKE_CASE       =    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_ ,      UpperCAmelCase_	)

									assert encoded_sentence == [0] + text + [2]
									assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
		if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.27.0''')):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import (
		    AudioLDMPipeline,
		)
else:
		from .pipeline_audioldm import AudioLDMPipeline

