
"""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					:      Tuple          =   'laion/clap-htsat-unfused'
		lowerCamelCase					:      str          =   tempfile.mkdtemp()




	def       _UpperCamelCase   (			self		,			**UpperCAmelCase_ )		->							List[Any]:
		return RobertaTokenizer.from_pretrained(self.checkpoint		,			**UpperCAmelCase_ )




	def       _UpperCamelCase   (			self		,			**UpperCAmelCase_ )		->							Optional[int]:
		return ClapFeatureExtractor.from_pretrained(self.checkpoint		,			**UpperCAmelCase_ )




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




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

		lowerCamelCase					:      int          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

		processor.save_pretrained(self.tmpdirname )
		lowerCamelCase					:      str          =   ClapProcessor.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 )		->							Any:
		lowerCamelCase					:      int          =   ClapProcessor(tokenizer=self.get_tokenizer()		,			feature_extractor=self.get_feature_extractor() )
		processor.save_pretrained(self.tmpdirname )

		lowerCamelCase					:      List[str]          =   self.get_tokenizer(bos_token='(BOS)'		,			eos_token='(EOS)' )
		lowerCamelCase					:      List[Any]          =   self.get_feature_extractor(do_normalize=UpperCAmelCase_		,			padding_value=1.0 )

		lowerCamelCase					:      List[Any]          =   ClapProcessor.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 )		->							int:
		lowerCamelCase					:      Optional[Any]          =   self.get_feature_extractor()
		lowerCamelCase					:      Tuple          =   self.get_tokenizer()

		lowerCamelCase					:      Union[str, Any]          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

		lowerCamelCase					:      Optional[int]          =   floats_list((3, 1000) )

		lowerCamelCase					:      Union[str, Any]          =   feature_extractor(UpperCAmelCase_		,			return_tensors='np' )
		lowerCamelCase					:      Dict          =   processor(audios=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 )		->							str:
		lowerCamelCase					:      int          =   self.get_feature_extractor()
		lowerCamelCase					:      int          =   self.get_tokenizer()

		lowerCamelCase					:      Optional[Any]          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

		lowerCamelCase					:      Optional[Any]          =   'This is a test string'

		lowerCamelCase					:      int          =   processor(text=UpperCAmelCase_ )

		lowerCamelCase					:      Optional[int]          =   tokenizer(UpperCAmelCase_ )

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




	def       _UpperCamelCase   (			self )		->							str:
		lowerCamelCase					:      Tuple          =   self.get_feature_extractor()
		lowerCamelCase					:      Dict          =   self.get_tokenizer()

		lowerCamelCase					:      Any          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

		lowerCamelCase					:      List[Any]          =   [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

		lowerCamelCase					:      Dict          =   processor.batch_decode(UpperCAmelCase_ )
		lowerCamelCase					:      List[Any]          =   tokenizer.batch_decode(UpperCAmelCase_ )

		self.assertListEqual(UpperCAmelCase_		,			UpperCAmelCase_ )




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

		lowerCamelCase					:      Tuple          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

		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"""

def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		lowerCamelCase					:      List[Any]          =   1
		for i in range(1,						num + 1      ):
				fact *= i
		return fact
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		lowerCamelCase					:      Optional[Any]          =   0
		while number > 0:
				lowerCamelCase					:      str          =   number % 10
				sum_of_digits += last_digit
				lowerCamelCase					:      Tuple          =   number // 10  # Removing the last_digit from the given number
		return sum_of_digits
def 		UpperCAmelCase (		a_ = 100      ):





		'''simple docstring'''


		lowerCamelCase					:      Optional[Any]          =   factorial(a_      )
		lowerCamelCase					:      int          =   split_and_add(a_      )
		return result


if __name__ == "__main__":
					print(solution(int(input('Enter the Number: ').strip())))






