


"""simple docstring"""
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 	lowercase__				(					unittest.TestCase				):





   def 		UpperCamelCase_  (							self)  ->  Union[str, Any]:
      _lowerCamelCase	:					int   =		"""laion/clap-htsat-unfused"""
      _lowerCamelCase	:					Union[str, Any]   =		tempfile.mkdtemp()





   def 		UpperCamelCase_  (							self      ,   **SCREAMING_SNAKE_CASE)  ->  Any:
      return RobertaTokenizer.from_pretrained(self.checkpoint      ,   **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   **SCREAMING_SNAKE_CASE)  ->  int:
      return ClapFeatureExtractor.from_pretrained(self.checkpoint      ,   **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self)  ->  List[str]:
      shutil.rmtree(self.tmpdirname)





   def 		UpperCamelCase_  (							self)  ->  List[str]:
      _lowerCamelCase	:					Dict   =		self.get_tokenizer()
      _lowerCamelCase	:					List[Any]   =		self.get_feature_extractor()

      _lowerCamelCase	:					str   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      processor.save_pretrained(self.tmpdirname)
      _lowerCamelCase	:					Union[str, Any]   =		ClapProcessor.from_pretrained(self.tmpdirname)

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

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





   def 		UpperCamelCase_  (							self)  ->  Any:
      _lowerCamelCase	:					List[Any]   =		ClapProcessor(tokenizer=self.get_tokenizer()      ,   feature_extractor=self.get_feature_extractor())
      processor.save_pretrained(self.tmpdirname)

      _lowerCamelCase	:					Optional[int]   =		self.get_tokenizer(bos_token="""(BOS)"""      ,   eos_token="""(EOS)""")
      _lowerCamelCase	:					List[str]   =		self.get_feature_extractor(do_normalize=SCREAMING_SNAKE_CASE      ,   padding_value=1.0)

      _lowerCamelCase	:					str   =		ClapProcessor.from_pretrained(
          self.tmpdirname      ,   bos_token="""(BOS)"""      ,   eos_token="""(EOS)"""      ,   do_normalize=SCREAMING_SNAKE_CASE      ,   padding_value=1.0)

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

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





   def 		UpperCamelCase_  (							self)  ->  Optional[Any]:
      _lowerCamelCase	:					Any   =		self.get_feature_extractor()
      _lowerCamelCase	:					Any   =		self.get_tokenizer()

      _lowerCamelCase	:					Optional[Any]   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Tuple   =		floats_list((3, 1000))

      _lowerCamelCase	:					Tuple   =		feature_extractor(SCREAMING_SNAKE_CASE      ,   return_tensors="""np""")
      _lowerCamelCase	:					Any   =		processor(audios=SCREAMING_SNAKE_CASE      ,   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)  ->  Union[str, Any]:
      _lowerCamelCase	:					Union[str, Any]   =		self.get_feature_extractor()
      _lowerCamelCase	:					Optional[Any]   =		self.get_tokenizer()

      _lowerCamelCase	:					Tuple   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Tuple   =		"""This is a test string"""

      _lowerCamelCase	:					Union[str, Any]   =		processor(text=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Union[str, Any]   =		tokenizer(SCREAMING_SNAKE_CASE)

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





   def 		UpperCamelCase_  (							self)  ->  Dict:
      _lowerCamelCase	:					Optional[Any]   =		self.get_feature_extractor()
      _lowerCamelCase	:					Tuple   =		self.get_tokenizer()

      _lowerCamelCase	:					Any   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Dict   =		[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

      _lowerCamelCase	:					int   =		processor.batch_decode(SCREAMING_SNAKE_CASE)
      _lowerCamelCase	:					List[str]   =		tokenizer.batch_decode(SCREAMING_SNAKE_CASE)

      self.assertListEqual(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self)  ->  Any:
      _lowerCamelCase	:					Any   =		self.get_feature_extractor()
      _lowerCamelCase	:					List[str]   =		self.get_tokenizer()

      _lowerCamelCase	:					str   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

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








'''simple docstring'''




import enum
import shutil
import sys


a__      ,       a__					:			Any          =     shutil.get_terminal_size()

a__					:			Optional[int]          =     {'''UP''': '''A''', '''DOWN''': '''B''', '''RIGHT''': '''C''', '''LEFT''': '''D'''}






class 				__snake_case     (					enum.Enum							):
	__lowerCAmelCase       						=  0
	__lowerCAmelCase       						=  1





def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_=""							)   ->Optional[Any]:
	sys.stdout.write(str(UpperCAmelCase_							) + end							)
	sys.stdout.flush()




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_=""							)   ->List[str]:
	forceWrite(f'''\u001b[{color}m{content}\u001b[0m'''					,				UpperCAmelCase_							)




def 						__lowerCamelCase			(	)   ->Optional[Any]:
	forceWrite('\r'							)




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->Any:
	forceWrite(f'''\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}'''							)




def 						__lowerCamelCase			(	)   ->str:
	forceWrite(' ' * TERMINAL_WIDTH							)
	reset_cursor()







def 						__lowerCamelCase			(	)   ->Tuple:
	reset_cursor()
	forceWrite('-' * TERMINAL_WIDTH							)



