'''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 lowerCamelCase							(	unittest.TestCase					):




  '''simple docstring'''



  def  lowerCAmelCase__ (      self			:       List[Any]  )				->Union[str, Any]:
        UpperCAmelCase_            =  '''laion/clap-htsat-unfused'''
        UpperCAmelCase_            =  tempfile.mkdtemp()






  def  lowerCAmelCase__ (      self			:       Any  ,							**UpperCAmelCase__			:       Any  )				->Any:
        return RobertaTokenizer.from_pretrained(self.checkpoint  ,							**_lowerCAmelCase  )






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  ,							**UpperCAmelCase__			:       Union[str, Any]  )				->int:
        return ClapFeatureExtractor.from_pretrained(self.checkpoint  ,							**_lowerCAmelCase  )






  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->Union[str, Any]:
        shutil.rmtree(self.tmpdirname  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Any:
        UpperCAmelCase_            =  self.get_tokenizer()
        UpperCAmelCase_            =  self.get_feature_extractor()

        UpperCAmelCase_            =  ClapProcessor(tokenizer=_lowerCAmelCase  ,							feature_extractor=_lowerCAmelCase  )

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

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

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






  def  lowerCAmelCase__ (      self			:       int  )				->Dict:
        UpperCAmelCase_            =  ClapProcessor(tokenizer=self.get_tokenizer()  ,							feature_extractor=self.get_feature_extractor()  )
        processor.save_pretrained(self.tmpdirname  )

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

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

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

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






  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->str:
        UpperCAmelCase_            =  self.get_feature_extractor()
        UpperCAmelCase_            =  self.get_tokenizer()

        UpperCAmelCase_            =  ClapProcessor(tokenizer=_lowerCAmelCase  ,							feature_extractor=_lowerCAmelCase  )

        UpperCAmelCase_            =  floats_list((3, 1000)  )

        UpperCAmelCase_            =  feature_extractor(_lowerCAmelCase  ,							return_tensors='''np'''  )
        UpperCAmelCase_            =  processor(audios=_lowerCAmelCase  ,							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  lowerCAmelCase__ (      self			:       str  )				->int:
        UpperCAmelCase_            =  self.get_feature_extractor()
        UpperCAmelCase_            =  self.get_tokenizer()

        UpperCAmelCase_            =  ClapProcessor(tokenizer=_lowerCAmelCase  ,							feature_extractor=_lowerCAmelCase  )

        UpperCAmelCase_            =  '''This is a test string'''

        UpperCAmelCase_            =  processor(text=_lowerCAmelCase  )

        UpperCAmelCase_            =  tokenizer(_lowerCAmelCase  )

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






  def  lowerCAmelCase__ (      self			:       Any  )				->int:
        UpperCAmelCase_            =  self.get_feature_extractor()
        UpperCAmelCase_            =  self.get_tokenizer()

        UpperCAmelCase_            =  ClapProcessor(tokenizer=_lowerCAmelCase  ,							feature_extractor=_lowerCAmelCase  )

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

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

        self.assertListEqual(_lowerCAmelCase  ,							_lowerCAmelCase  )






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->Dict:
        UpperCAmelCase_            =  self.get_feature_extractor()
        UpperCAmelCase_            =  self.get_tokenizer()

        UpperCAmelCase_            =  ClapProcessor(tokenizer=_lowerCAmelCase  ,							feature_extractor=_lowerCAmelCase  )

        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 re



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]'''							,    str_					)]



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      UpperCAmelCase_            =  split_input(str_					)
      return "".join(
          [''''''.join([char.capitalize() for char in sub_str]					) for sub_str in string_split]					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool							,    _UpperCamelCase  :  str					):


      '''simple docstring'''


      try:
            UpperCAmelCase_            =  split_input(_UpperCamelCase					)
            if upper:
                  UpperCAmelCase_            =  ''''''.join(
                      [
                          separator.join([char.upper() for char in sub_str]					)
                          for sub_str in string_split
                      ]					)
            else:
                  UpperCAmelCase_            =  ''''''.join(
                      [
                          separator.join([char.lower() for char in sub_str]					)
                          for sub_str in string_split
                      ]					)
            return res_str
      except IndexError:
            return "not valid string"



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      return to_simple_case(_UpperCamelCase					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      try:
            UpperCAmelCase_            =  to_simple_case(_UpperCamelCase					)
            return res_str[0].lower() + res_str[1:]
      except IndexError:
            return "not valid string"



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool					):


      '''simple docstring'''


      return to_complex_case(_UpperCamelCase							,    _UpperCamelCase							,    '''_'''					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool					):


      '''simple docstring'''


      return to_complex_case(_UpperCamelCase							,    _UpperCamelCase							,    '''-'''					)


if __name__ == "__main__":
      __import__("doctest").testmod()





