





'''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  lowerCAmelCase_		(		unittest.TestCase		):




 def 				_snake_case (						self		)     ->				int:
     _lowerCAmelCase						      =   "ylacombe/bark-small"
     _lowerCAmelCase						      =   tempfile.mkdtemp()
     _lowerCAmelCase						      =   "en_speaker_1"
     _lowerCAmelCase						      =   "This is a test string"
     _lowerCAmelCase						      =   "speaker_embeddings_path.json"
     _lowerCAmelCase						      =   "speaker_embeddings"




 def 				_snake_case (						self      ,  **_lowerCAmelCase		)     ->				str:
     return AutoTokenizer.from_pretrained(self.checkpoint      ,  **_lowerCAmelCase		)




 def 				_snake_case (						self		)     ->				Optional[int]:
     shutil.rmtree(self.tmpdirname		)




 def 				_snake_case (						self		)     ->				str:
     _lowerCAmelCase						      =   self.get_tokenizer()

     _lowerCAmelCase						      =   BarkProcessor(tokenizer=_lowerCAmelCase		)

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

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




 @slow
 def 				_snake_case (						self		)     ->				Any:
     _lowerCAmelCase						      =   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      ,  )

     _lowerCAmelCase						      =   self.get_tokenizer(bos_token="(BOS)"      ,  eos_token="(EOS)"		)

     _lowerCAmelCase						      =   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 				_snake_case (						self		)     ->				Any:
     _lowerCAmelCase						      =   BarkProcessor.from_pretrained(
         pretrained_processor_name_or_path=self.checkpoint      ,  speaker_embeddings_dict_path=self.speaker_embeddings_dict_path      ,  )

     _lowerCAmelCase						      =   35
     _lowerCAmelCase						      =   2
     _lowerCAmelCase						      =   8

     _lowerCAmelCase						      =   {
         "semantic_prompt": np.ones(_lowerCAmelCase		),
         "coarse_prompt": np.ones((nb_codebooks_coarse, seq_len)		),
         "fine_prompt": np.ones((nb_codebooks_total, seq_len)		),
     }

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

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

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

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

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





 def 				_snake_case (						self		)     ->				Optional[int]:
     _lowerCAmelCase						      =   self.get_tokenizer()

     _lowerCAmelCase						      =   BarkProcessor(tokenizer=_lowerCAmelCase		)

     _lowerCAmelCase						      =   processor(text=self.input_string		)

     _lowerCAmelCase						      =   tokenizer(
         self.input_string      ,  padding="max_length"      ,  max_length=256      ,  add_special_tokens=_lowerCAmelCase      ,  return_attention_mask=_lowerCAmelCase      ,  return_token_type_ids=_lowerCAmelCase      ,  )

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










from collections.abc import Callable




class       snake_case__ :

       '''simple docstring'''



       def __init__(				self      ,    a__ = None     )			->   None:






            '''simple docstring'''





            __snake_case      :list 							=    []
            # Stores indexes of each item for supporting updates and deletion.
            __snake_case      :dict 							=    {}
            # Stores current size of heap.
            __snake_case      :List[Any] 							=    0
            # Stores function used to evaluate the score of an item on which basis ordering
            # will be done.
            __snake_case      :Optional[Any] 							=    key or (lambda a__     : x)



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            return int((i - 1) / 2     ) if i > 0 else None



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            __snake_case      :int 							=    int(2 * i + 1     )
            return left if 0 < left < self.size else None



       def        __lowercase    (				self      ,    a__     )			->   int | None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    int(2 * i + 2     )
            return right if 0 < right < self.size else None



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case							,			__snake_case      :Dict 							=    (
                self.pos_map[self.arr[j][0]],
                self.pos_map[self.arr[i][0]],
            )
            # Then swap the items in the list.
            __snake_case							,			__snake_case      :Tuple 							=    self.arr[j], self.arr[i]



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   bool:






            '''simple docstring'''





            return self.arr[i][1] < self.arr[j][1]



       def        __lowercase    (				self      ,    a__     )			->   int:






            '''simple docstring'''





            __snake_case      :int 							=    self._left(a__     )
            __snake_case      :Optional[int] 							=    self._right(a__     )
            __snake_case      :List[Any] 							=    i

            if left is not None and not self._cmp(a__      ,    a__     ):
                 __snake_case      :int 							=    left
            if right is not None and not self._cmp(a__      ,    a__     ):
                 __snake_case      :Tuple 							=    right

            return valid_parent



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :int 							=    self._parent(a__     )
            while parent is not None and not self._cmp(a__      ,    a__     ):
                 self._swap(a__      ,    a__     )
                 __snake_case							,			__snake_case      :str 							=    parent, self._parent(a__     )



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :List[Any] 							=    self._get_valid_parent(a__     )
            while valid_parent != index:
                 self._swap(a__      ,    a__     )
                 __snake_case							,			__snake_case      :Optional[int] 							=    valid_parent, self._get_valid_parent(a__     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            if item not in self.pos_map:
                 return
            __snake_case      :List[Any] 							=    self.pos_map[item]
            __snake_case      :Optional[Any] 							=    [item, self.key(a__     )]
            # Make sure heap is right in both up and down direction.
            # Ideally only one of them will make any change.
            self._heapify_up(a__     )
            self._heapify_down(a__     )



       def        __lowercase    (				self      ,    a__     )			->   None:






            '''simple docstring'''





            if item not in self.pos_map:
                 return
            __snake_case      :Dict 							=    self.pos_map[item]
            del self.pos_map[item]
            __snake_case      :Dict 							=    self.arr[self.size - 1]
            __snake_case      :List[str] 							=    index
            self.size -= 1
            # Make sure heap is right in both up and down direction. Ideally only one
            # of them will make any change- so no performance loss in calling both.
            if self.size > index:
                 self._heapify_up(a__     )
                 self._heapify_down(a__     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    len(self.arr     )
            if arr_len == self.size:
                 self.arr.append([item, self.key(a__     )]     )
            else:
                 __snake_case      :Optional[Any] 							=    [item, self.key(a__     )]
            __snake_case      :str 							=    self.size
            self.size += 1
            self._heapify_up(self.size - 1     )



       def        __lowercase    (				self     )			->   tuple | None:






            '''simple docstring'''





            return self.arr[0] if self.size else None



       def        __lowercase    (				self     )			->   tuple | None:






            '''simple docstring'''





            __snake_case      :Optional[Any] 							=    self.get_top()
            if top_item_tuple:
                 self.delete_item(top_item_tuple[0]     )
            return top_item_tuple






def 	UpperCamelCase	(							):




     '''simple docstring'''








if __name__ == "__main__":
     import doctest

     doctest.testmod()


