import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list
@require_torchaudio
@require_sentencepiece
class 					snake_case	(     unittest.TestCase   ):

   """simple docstring"""







   def 				snake_case__							(    self	):
     __lowercase					=		'laion/clap-htsat-unfused'
     __lowercase					=		tempfile.mkdtemp()





   def 				snake_case__							(    self					,	**lowerCAmelCase_	):
     return RobertaTokenizer.from_pretrained(self.checkpoint					,	**lowercase_	)





   def 				snake_case__							(    self					,	**lowerCAmelCase_	):
     return ClapFeatureExtractor.from_pretrained(self.checkpoint					,	**lowercase_	)





   def 				snake_case__							(    self	):
     shutil.rmtree(self.tmpdirname	)





   def 				snake_case__							(    self	):
     __lowercase					=		self.get_tokenizer()
     __lowercase					=		self.get_feature_extractor()

     __lowercase					=		ClapProcessor(tokenizer=lowercase_					,	feature_extractor=lowercase_	)

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

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

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





   def 				snake_case__							(    self	):
     __lowercase					=		ClapProcessor(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=lowercase_					,	padding_value=1.0	)

     __lowercase					=		ClapProcessor.from_pretrained(
         self.tmpdirname					,	bos_token="(BOS)"					,	eos_token="(EOS)"					,	do_normalize=lowercase_					,	padding_value=1.0	)

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

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





   def 				snake_case__							(    self	):
     __lowercase					=		self.get_feature_extractor()
     __lowercase					=		self.get_tokenizer()

     __lowercase					=		ClapProcessor(tokenizer=lowercase_					,	feature_extractor=lowercase_	)

     __lowercase					=		floats_list((3, 1000)	)

     __lowercase					=		feature_extractor(lowercase_					,	return_tensors="np"	)
     __lowercase					=		processor(audios=lowercase_					,	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 				snake_case__							(    self	):
     __lowercase					=		self.get_feature_extractor()
     __lowercase					=		self.get_tokenizer()

     __lowercase					=		ClapProcessor(tokenizer=lowercase_					,	feature_extractor=lowercase_	)

     __lowercase					=		'This is a test string'

     __lowercase					=		processor(text=lowercase_	)

     __lowercase					=		tokenizer(lowercase_	)

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





   def 				snake_case__							(    self	):
     __lowercase					=		self.get_feature_extractor()
     __lowercase					=		self.get_tokenizer()

     __lowercase					=		ClapProcessor(tokenizer=lowercase_					,	feature_extractor=lowercase_	)

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

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

     self.assertListEqual(lowercase_					,	lowercase_	)





   def 				snake_case__							(    self	):
     __lowercase					=		self.get_feature_extractor()
     __lowercase					=		self.get_tokenizer()

     __lowercase					=		ClapProcessor(tokenizer=lowercase_					,	feature_extractor=lowercase_	)

     self.assertListEqual(
         processor.model_input_names[2:]					,	feature_extractor.model_input_names					,	msg="`processor` and `feature_extractor` model input names do not match"					,	)





from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase		   =			logging.get_logger(__name__)

lowerCamelCase		   =			{
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    Union[str, Any] ='vit_msn'






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	List[str]=768     ,  lowercase_		:	Optional[int]=12     ,  lowercase_		:	List[str]=12     ,  lowercase_		:	List[Any]=3072     ,  lowercase_		:	int="gelu"     ,  lowercase_		:	List[Any]=0.0     ,  lowercase_		:	Optional[int]=0.0     ,  lowercase_		:	Dict=0.02     ,  lowercase_		:	Any=1E-06     ,  lowercase_		:	Union[str, Any]=224     ,  lowercase_		:	Optional[int]=16     ,  lowercase_		:	List[Any]=3     ,  lowercase_		:	Any=True     ,  **lowercase_		:	Tuple     ,  )   ->		Dict:
             """simple docstring"""




             super().__init__(**lowercase_					)

             _lowerCamelCase			:						Dict            =hidden_size
             _lowerCamelCase			:						Any            =num_hidden_layers
             _lowerCamelCase			:						Union[str, Any]            =num_attention_heads
             _lowerCamelCase			:						List[Any]            =intermediate_size
             _lowerCamelCase			:						Tuple            =hidden_act
             _lowerCamelCase			:						Any            =hidden_dropout_prob
             _lowerCamelCase			:						Dict            =attention_probs_dropout_prob
             _lowerCamelCase			:						Any            =initializer_range
             _lowerCamelCase			:						List[Any]            =layer_norm_eps
             _lowerCamelCase			:						Optional[int]            =image_size
             _lowerCamelCase			:						Optional[int]            =patch_size
             _lowerCamelCase			:						List[Any]            =num_channels
             _lowerCamelCase			:						Optional[Any]            =qkv_bias


