


"""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 					__magic_name__		(			unittest.TestCase     ):






       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:List[str]       							=				'''laion/clap-htsat-unfused'''
              lowercase		:Optional[int]       							=				tempfile.mkdtemp()






       def  __snake_case						(   self  :    Any  ,     **snake_case__  :    Union[str, Any]				):

              '''simple docstring'''






              return RobertaTokenizer.from_pretrained(self.checkpoint  ,     **snake_case__				)






       def  __snake_case						(   self  :    Union[str, Any]  ,     **snake_case__  :    int				):

              '''simple docstring'''






              return ClapFeatureExtractor.from_pretrained(self.checkpoint  ,     **snake_case__				)






       def  __snake_case						(   self  :    Tuple				):

              '''simple docstring'''






              shutil.rmtree(self.tmpdirname				)






       def  __snake_case						(   self  :    str				):

              '''simple docstring'''






              lowercase		:Optional[int]       							=				self.get_tokenizer()
              lowercase		:Dict       							=				self.get_feature_extractor()

              lowercase		:Optional[int]       							=				ClapProcessor(tokenizer=snake_case__  ,     feature_extractor=snake_case__				)

              processor.save_pretrained(self.tmpdirname				)
              lowercase		:List[Any]       							=				ClapProcessor.from_pretrained(self.tmpdirname				)

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

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






       def  __snake_case						(   self  :    Tuple				):

              '''simple docstring'''






              lowercase		:Any       							=				ClapProcessor(tokenizer=self.get_tokenizer()  ,     feature_extractor=self.get_feature_extractor()				)
              processor.save_pretrained(self.tmpdirname				)

              lowercase		:Tuple       							=				self.get_tokenizer(bos_token='''(BOS)'''  ,     eos_token='''(EOS)'''				)
              lowercase		:List[Any]       							=				self.get_feature_extractor(do_normalize=snake_case__  ,     padding_value=1.0				)

              lowercase		:Dict       							=				ClapProcessor.from_pretrained(
                  self.tmpdirname  ,     bos_token='''(BOS)'''  ,     eos_token='''(EOS)'''  ,     do_normalize=snake_case__  ,     padding_value=1.0				)

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

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






       def  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:Any       							=				self.get_feature_extractor()
              lowercase		:Optional[Any]       							=				self.get_tokenizer()

              lowercase		:List[str]       							=				ClapProcessor(tokenizer=snake_case__  ,     feature_extractor=snake_case__				)

              lowercase		:Dict       							=				floats_list((3, 1_0_0_0)				)

              lowercase		:List[Any]       							=				feature_extractor(snake_case__  ,     return_tensors='''np'''				)
              lowercase		:str       							=				processor(audios=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  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:Tuple       							=				self.get_feature_extractor()
              lowercase		:Any       							=				self.get_tokenizer()

              lowercase		:List[Any]       							=				ClapProcessor(tokenizer=snake_case__  ,     feature_extractor=snake_case__				)

              lowercase		:List[str]       							=				'''This is a test string'''

              lowercase		:List[Any]       							=				processor(text=snake_case__				)

              lowercase		:List[str]       							=				tokenizer(snake_case__				)

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






       def  __snake_case						(   self  :    Tuple				):

              '''simple docstring'''






              lowercase		:List[str]       							=				self.get_feature_extractor()
              lowercase		:Tuple       							=				self.get_tokenizer()

              lowercase		:Union[str, Any]       							=				ClapProcessor(tokenizer=snake_case__  ,     feature_extractor=snake_case__				)

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

              lowercase		:Any       							=				processor.batch_decode(snake_case__				)
              lowercase		:Union[str, Any]       							=				tokenizer.batch_decode(snake_case__				)

              self.assertListEqual(snake_case__  ,     snake_case__				)







       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:List[str]       							=				self.get_feature_extractor()
              lowercase		:Optional[Any]       							=				self.get_tokenizer()

              lowercase		:Any       							=				ClapProcessor(tokenizer=snake_case__  ,     feature_extractor=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"""



from __future__ import annotations

from decimal import Decimal

from numpy import array






def       lowerCamelCase					(a_						:list[list[float]])     ->							list[list[float]]:
       lowercase		:List[str]       							=				Decimal

       # Check if the provided matrix has 2 rows and 2 columns
       # since this implementation only works for 2x2 matrices
       if len(a_) == 2 and len(matrix[0]) == 2 and len(matrix[1]) == 2:
              # Calculate the determinant of the matrix
              lowercase		:List[str]       							=				float(
                  d(matrix[0][0]) * d(matrix[1][1]) - d(matrix[1][0]) * d(matrix[0][1]))
              if determinant == 0:
                     raise ValueError('''This matrix has no inverse.''')

              # Creates a copy of the matrix with swapped positions of the elements
              lowercase		:Optional[Any]       							=				[[0.0, 0.0], [0.0, 0.0]]
              lowercase							,  lowercase		:List[Any]       							=				matrix[1][1], matrix[0][0]
              lowercase							,  lowercase		:Union[str, Any]       							=				-matrix[1][0], -matrix[0][1]

              # Calculate the inverse of the matrix
              return [
                  [(float(d(a_)) / determinant) or 0.0 for n in row] for row in swapped_matrix
              ]
       elif (
           len(a_) == 3
           and len(matrix[0]) == 3
           and len(matrix[1]) == 3
           and len(matrix[2]) == 3
       ):
              # Calculate the determinant of the matrix using Sarrus rule
              lowercase		:Any       							=				float(
                  (
                      (d(matrix[0][0]) * d(matrix[1][1]) * d(matrix[2][2]))
                      + (d(matrix[0][1]) * d(matrix[1][2]) * d(matrix[2][0]))
                      + (d(matrix[0][2]) * d(matrix[1][0]) * d(matrix[2][1]))
                  )
                  - (
                      (d(matrix[0][2]) * d(matrix[1][1]) * d(matrix[2][0]))
                      + (d(matrix[0][1]) * d(matrix[1][0]) * d(matrix[2][2]))
                      + (d(matrix[0][0]) * d(matrix[1][2]) * d(matrix[2][1]))
                  ))
              if determinant == 0:
                     raise ValueError('''This matrix has no inverse.''')

              # Creating cofactor matrix
              lowercase		:Optional[Any]       							=				[
                  [d(0.0), d(0.0), d(0.0)],
                  [d(0.0), d(0.0), d(0.0)],
                  [d(0.0), d(0.0), d(0.0)],
              ]
              lowercase		:Optional[int]       							=				(d(matrix[1][1]) * d(matrix[2][2])) - (
                  d(matrix[1][2]) * d(matrix[2][1])
              )
              lowercase		:str       							=				-(
                  (d(matrix[1][0]) * d(matrix[2][2])) - (d(matrix[1][2]) * d(matrix[2][0]))
              )
              lowercase		:Union[str, Any]       							=				(d(matrix[1][0]) * d(matrix[2][1])) - (
                  d(matrix[1][1]) * d(matrix[2][0])
              )
              lowercase		:Union[str, Any]       							=				-(
                  (d(matrix[0][1]) * d(matrix[2][2])) - (d(matrix[0][2]) * d(matrix[2][1]))
              )
              lowercase		:Union[str, Any]       							=				(d(matrix[0][0]) * d(matrix[2][2])) - (
                  d(matrix[0][2]) * d(matrix[2][0])
              )
              lowercase		:List[str]       							=				-(
                  (d(matrix[0][0]) * d(matrix[2][1])) - (d(matrix[0][1]) * d(matrix[2][0]))
              )
              lowercase		:Union[str, Any]       							=				(d(matrix[0][1]) * d(matrix[1][2])) - (
                  d(matrix[0][2]) * d(matrix[1][1])
              )
              lowercase		:Union[str, Any]       							=				-(
                  (d(matrix[0][0]) * d(matrix[1][2])) - (d(matrix[0][2]) * d(matrix[1][0]))
              )
              lowercase		:Any       							=				(d(matrix[0][0]) * d(matrix[1][1])) - (
                  d(matrix[0][1]) * d(matrix[1][0])
              )

              # Transpose the cofactor matrix (Adjoint matrix)
              lowercase		:Union[str, Any]       							=				array(a_)
              for i in range(3):
                     for j in range(3):
                            lowercase		:Any       							=				cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
              lowercase		:str       							=				array(a_)
              for i in range(3):
                     for j in range(3):
                            inverse_matrix[i][j] /= d(a_)

        # Calculate the inverse of the matrix
              return [[float(d(a_)) or 0.0 for n in row] for row in inverse_matrix]
       raise ValueError('''Please provide a matrix of size 2x2 or 3x3.''')

