

"""simple docstring"""



import os
import shutil
import tempfile
import unittest

import numpy as np

from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow



@require_torch
class      _A	(						unittest.TestCase					):




    """simple docstring"""




    def  lowercase					(		self							:     List[str]    )    ->       str:
         __snake_case				=							'''ylacombe/bark-small'''
         __snake_case				=							tempfile.mkdtemp()
         __snake_case				=							'''en_speaker_1'''
         __snake_case				=							'''This is a test string'''
         __snake_case				=							'''speaker_embeddings_path.json'''
         __snake_case				=							'''speaker_embeddings'''
    def  lowercase					(		self							:     Union[str, Any]	,      **A_							:     Optional[Any]    )    ->       Optional[int]:
         return AutoTokenizer.from_pretrained(self.checkpoint	,      **__UpperCamelCase    )
    def  lowercase					(		self							:     Optional[Any]    )    ->       List[Any]:
         shutil.rmtree(self.tmpdirname    )
    def  lowercase					(		self							:     Union[str, Any]    )    ->       Optional[int]:
         __snake_case				=							self.get_tokenizer()

         __snake_case				=							BarkProcessor(tokenizer=__UpperCamelCase    )

         processor.save_pretrained(self.tmpdirname    )
         __snake_case				=							BarkProcessor.from_pretrained(self.tmpdirname    )

         self.assertEqual(processor.tokenizer.get_vocab()	,      tokenizer.get_vocab()    )
    @slow
    def  lowercase					(		self							:     Optional[int]    )    ->       Optional[Any]:
         __snake_case				=							BarkProcessor.from_pretrained(
             pretrained_processor_name_or_path=self.checkpoint	,      speaker_embeddings_dict_path=self.speaker_embeddings_dict_path	,      )
         processor.save_pretrained(
             self.tmpdirname	,      speaker_embeddings_dict_path=self.speaker_embeddings_dict_path	,      speaker_embeddings_directory=self.speaker_embeddings_directory	,      )

         __snake_case				=							self.get_tokenizer(bos_token='''(BOS)'''	,      eos_token='''(EOS)'''    )

         __snake_case				=							BarkProcessor.from_pretrained(
             self.tmpdirname	,      self.speaker_embeddings_dict_path	,      bos_token='''(BOS)'''	,      eos_token='''(EOS)'''	,      )

         self.assertEqual(processor.tokenizer.get_vocab()	,      tokenizer_add_kwargs.get_vocab()    )
    def  lowercase					(		self							:     Optional[int]    )    ->       Union[str, Any]:
         __snake_case				=							BarkProcessor.from_pretrained(
             pretrained_processor_name_or_path=self.checkpoint	,      speaker_embeddings_dict_path=self.speaker_embeddings_dict_path	,      )

         __snake_case				=							35
         __snake_case				=							2
         __snake_case				=							8

         __snake_case				=							{
             '''semantic_prompt''': np.ones(__UpperCamelCase    ),
             '''coarse_prompt''': np.ones((nb_codebooks_coarse, seq_len)    ),
             '''fine_prompt''': np.ones((nb_codebooks_total, seq_len)    ),
         }

         # test providing already loaded voice_preset
         __snake_case				=							processor(text=self.input_string	,      voice_preset=__UpperCamelCase    )

         __snake_case				=							inputs['''history_prompt''']
         for key in voice_preset:
              self.assertListEqual(voice_preset[key].tolist()	,      processed_voice_preset.get(__UpperCamelCase	,      np.array([]    )    ).tolist()    )

         # test loading voice preset from npz file
         __snake_case				=							os.path.join(self.tmpdirname	,      '''file.npz'''    )
         np.savez(__UpperCamelCase	,      **__UpperCamelCase    )
         __snake_case				=							processor(text=self.input_string	,      voice_preset=__UpperCamelCase    )
         __snake_case				=							inputs['''history_prompt''']

         for key in voice_preset:
              self.assertListEqual(voice_preset[key].tolist()	,      processed_voice_preset.get(__UpperCamelCase	,      np.array([]    )    ).tolist()    )

         # test loading voice preset from the hub
         __snake_case				=							processor(text=self.input_string	,      voice_preset=self.voice_preset    )







    def  lowercase					(		self							:     List[str]    )    ->       Tuple:
         __snake_case				=							self.get_tokenizer()

         __snake_case				=							BarkProcessor(tokenizer=__UpperCamelCase    )

         __snake_case				=							processor(text=self.input_string    )

         __snake_case				=							tokenizer(
             self.input_string	,      padding='''max_length'''	,      max_length=256	,      add_special_tokens=__UpperCamelCase	,      return_attention_mask=__UpperCamelCase	,      return_token_type_ids=__UpperCamelCase	,      )

         for key in encoded_tok.keys():
              self.assertListEqual(encoded_tok[key]	,      encoded_processor[key].squeeze().tolist()    )
"""simple docstring"""



import re





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





def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							split_input(str_)
     return "".join(
         [''''''.join([char.capitalize() for char in sub_str]) for sub_str in string_split])





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     try:
          __snake_case				=							split_input(snake_case)
          if upper:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.upper() for char in sub_str])
                       for sub_str in string_split
                   ])
          else:
               __snake_case				=							''''''.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    SCREAMING_SNAKE_CASE       (     snake_case):
     return to_simple_case(snake_case)





def    SCREAMING_SNAKE_CASE       (     snake_case):
     try:
          __snake_case				=							to_simple_case(snake_case)
          return res_str[0].lower() + res_str[1:]
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''_''')





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''-''')


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