

"""simple docstring"""

import shutil
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SpeechaTextTokenizer, is_speech_available
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, require_torchaudio
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_speech_to_text import floats_list


if is_speech_available():
							from transformers import SpeechaTextFeatureExtractor, SpeechaTextProcessor


a__			:						Dict							=			get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_torch
@require_torchaudio
@require_sentencepiece
class       _snake_case  (    unittest.TestCase							):







						def 							_UpperCamelCase     (self				)      ->    List[Any]:
											__lowercase        =      tempfile.mkdtemp()

											__lowercase        =      ['''<s>''', '''<pad>''', '''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
											__lowercase        =      dict(zip(UpperCAmelCase_  ,				range(len(UpperCAmelCase_				)				)				)				)
											__lowercase        =      Path(self.tmpdirname				)
											save_json(UpperCAmelCase_  ,				save_dir / VOCAB_FILES_NAMES['''vocab_file''']				)
											if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
																copyfile(UpperCAmelCase_  ,				save_dir / VOCAB_FILES_NAMES['''spm_file''']				)

											__lowercase        =      SpeechaTextTokenizer.from_pretrained(self.tmpdirname				)
											tokenizer.save_pretrained(self.tmpdirname				)

											__lowercase        =      {
											    '''feature_size''': 2_4,
											    '''num_mel_bins''': 2_4,
											    '''padding_value''': 0.0,
											    '''sampling_rate''': 1_6_0_0_0,
											    '''return_attention_mask''': False,
											    '''do_normalize''': True,
											}
											save_json(UpperCAmelCase_  ,				save_dir / FEATURE_EXTRACTOR_NAME				)







						def 							_UpperCamelCase     (self  ,				**UpperCAmelCase_				)      ->    int:
											return SpeechaTextTokenizer.from_pretrained(self.tmpdirname  ,				**UpperCAmelCase_				)







						def 							_UpperCamelCase     (self  ,				**UpperCAmelCase_				)      ->    Dict:
											return SpeechaTextFeatureExtractor.from_pretrained(self.tmpdirname  ,				**UpperCAmelCase_				)







						def 							_UpperCamelCase     (self				)      ->    Optional[int]:
											shutil.rmtree(self.tmpdirname				)







						def 							_UpperCamelCase     (self				)      ->    Optional[int]:
											__lowercase        =      self.get_tokenizer()
											__lowercase        =      self.get_feature_extractor()

											__lowercase        =      SpeechaTextProcessor(tokenizer=UpperCAmelCase_  ,				feature_extractor=UpperCAmelCase_				)

											processor.save_pretrained(self.tmpdirname				)
											__lowercase        =      SpeechaTextProcessor.from_pretrained(self.tmpdirname				)

											self.assertEqual(processor.tokenizer.get_vocab()  ,				tokenizer.get_vocab()				)
											self.assertIsInstance(processor.tokenizer  ,				UpperCAmelCase_				)

											self.assertEqual(processor.feature_extractor.to_json_string()  ,				feature_extractor.to_json_string()				)
											self.assertIsInstance(processor.feature_extractor  ,				UpperCAmelCase_				)







						def 							_UpperCamelCase     (self				)      ->    Optional[int]:
											__lowercase        =      SpeechaTextProcessor(
											    tokenizer=self.get_tokenizer()  ,				feature_extractor=self.get_feature_extractor()				)
											processor.save_pretrained(self.tmpdirname				)

											__lowercase        =      self.get_tokenizer(bos_token='''(BOS)'''  ,				eos_token='''(EOS)'''				)
											__lowercase        =      self.get_feature_extractor(do_normalize=UpperCAmelCase_  ,				padding_value=1.0				)

											__lowercase        =      SpeechaTextProcessor.from_pretrained(
											    self.tmpdirname  ,				bos_token='''(BOS)'''  ,				eos_token='''(EOS)'''  ,				do_normalize=UpperCAmelCase_  ,				padding_value=1.0				)

											self.assertEqual(processor.tokenizer.get_vocab()  ,				tokenizer_add_kwargs.get_vocab()				)
											self.assertIsInstance(processor.tokenizer  ,				UpperCAmelCase_				)

											self.assertEqual(processor.feature_extractor.to_json_string()  ,				feature_extractor_add_kwargs.to_json_string()				)
											self.assertIsInstance(processor.feature_extractor  ,				UpperCAmelCase_				)







						def 							_UpperCamelCase     (self				)      ->    Dict:
											__lowercase        =      self.get_feature_extractor()
											__lowercase        =      self.get_tokenizer()

											__lowercase        =      SpeechaTextProcessor(tokenizer=UpperCAmelCase_  ,				feature_extractor=UpperCAmelCase_				)

											__lowercase        =      floats_list((3, 1_0_0_0)				)

											__lowercase        =      feature_extractor(UpperCAmelCase_  ,				return_tensors='''np'''				)
											__lowercase        =      processor(UpperCAmelCase_  ,				return_tensors='''np'''				)

											for key in input_feat_extract.keys():
																self.assertAlmostEqual(input_feat_extract[key].sum()  ,				input_processor[key].sum()  ,				delta=1e-2				)







						def 							_UpperCamelCase     (self				)      ->    List[str]:
											__lowercase        =      self.get_feature_extractor()
											__lowercase        =      self.get_tokenizer()

											__lowercase        =      SpeechaTextProcessor(tokenizer=UpperCAmelCase_  ,				feature_extractor=UpperCAmelCase_				)

											__lowercase        =      '''This is a test string'''

											__lowercase        =      processor(text=UpperCAmelCase_				)

											__lowercase        =      tokenizer(UpperCAmelCase_				)

											for key in encoded_tok.keys():
																self.assertListEqual(encoded_tok[key]  ,				encoded_processor[key]				)







						def 							_UpperCamelCase     (self				)      ->    int:
											__lowercase        =      self.get_feature_extractor()
											__lowercase        =      self.get_tokenizer()

											__lowercase        =      SpeechaTextProcessor(tokenizer=UpperCAmelCase_  ,				feature_extractor=UpperCAmelCase_				)

											__lowercase        =      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											__lowercase        =      processor.batch_decode(UpperCAmelCase_				)
											__lowercase        =      tokenizer.batch_decode(UpperCAmelCase_				)

											self.assertListEqual(UpperCAmelCase_  ,				UpperCAmelCase_				)







						def 							_UpperCamelCase     (self				)      ->    Union[str, Any]:
											__lowercase        =      self.get_feature_extractor()
											__lowercase        =      self.get_tokenizer()

											__lowercase        =      SpeechaTextProcessor(tokenizer=UpperCAmelCase_  ,				feature_extractor=UpperCAmelCase_				)

											self.assertListEqual(
											    processor.model_input_names  ,				feature_extractor.model_input_names  ,				msg='''`processor` and `feature_extractor` model input names do not match'''  ,				)





"""simple docstring"""

import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


a__			:						Optional[int]							=			set()
a__			:						str							=			get_logger(__name__)





def 					__UpperCamelCase (     a__:			Optional[str] = None      )					->      Dict:




					"""simple docstring"""



					def decorator(a__:			Callable      ):
										global _emitted_deprecation_warnings

										if inspect.isclass(a__      ):
															__lowercase        =      deprecated_class_or_function.__init__
															__lowercase        =      deprecated_class_or_function.__name__
										else:
															__lowercase        =      deprecated_class_or_function
															__lowercase        =      deprecated_function.__name__
															# Support deprecating __init__ class method: class name instead
															__lowercase        =      name if name != '''__init__''' else deprecated_function.__qualname__.split('''.'''      )[-2]

										__lowercase        =      (
										    f'''{name} is deprecated and will be removed in the next major version of datasets.''' + f''' {help_message}'''
										    if help_message
										    else ''''''
										)

										@wraps(a__      )
										def wrapper(*a__:			int			,						**a__:			int      ):
															__lowercase        =      hash(a__      )
															if func_hash not in _emitted_deprecation_warnings:
																				warnings.warn(a__			,						category=a__			,						stacklevel=2      )
																				_emitted_deprecation_warnings.add(a__      )
															return deprecated_function(*a__			,						**a__      )

										__lowercase        =      '''deprecated'''

										if inspect.isclass(a__      ):
															__lowercase        =      wrapper
															return deprecated_class_or_function
										else:
															return wrapper

					return decorator


class       _snake_case  (    enum.EnumMeta							):







						def __getattribute__(cls  ,				UpperCAmelCase_				)      ->    int:
											__lowercase        =      super().__getattribute__(UpperCAmelCase_				)
											if isinstance(UpperCAmelCase_  ,				enum.Enum				) and obj._on_access:
																obj._on_access()
											return obj







						def __getitem__(cls  ,				UpperCAmelCase_				)      ->    Union[str, Any]:
											__lowercase        =      super().__getitem__(UpperCAmelCase_				)
											if member._on_access:
																member._on_access()
											return member







						def __call__(cls  ,				UpperCAmelCase_  ,				UpperCAmelCase_=None  ,				*, UpperCAmelCase_=None  ,				UpperCAmelCase_=None  ,				UpperCAmelCase_=None  ,				UpperCAmelCase_=1				)      ->    List[Any]:
											__lowercase        =      super().__call__(UpperCAmelCase_  ,				UpperCAmelCase_  ,				module=UpperCAmelCase_  ,				qualname=UpperCAmelCase_  ,				type=UpperCAmelCase_  ,				start=UpperCAmelCase_				)
											if isinstance(UpperCAmelCase_  ,				enum.Enum				) and obj._on_access:
																obj._on_access()
											return obj



class       _snake_case  (    enum.Enum    ,      metaclass=UpperCamelCase							):







						def __new__(cls  ,				UpperCAmelCase_				)      ->    Optional[int]:
											__lowercase        =      object.__new__(cls				)
											__lowercase        =      value
											__lowercase        =      member.deprecate
											return member







						@property
						def 							_UpperCamelCase     (self				)      ->    Dict:
											return ""







						def 							_UpperCamelCase     (self				)      ->    Optional[Any]:
											__lowercase        =      f''' {self.help_message}''' if self.help_message else ''''''
											warnings.warn(
											    f'''\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets.'''
											    + help_message  ,				UpperCAmelCase_  ,				stacklevel=3  ,				)


