






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 				lowercase       (							unittest.TestCase      ):


    '''simple docstring'''

    def    a__				(					self     :     List[Any]     )							->							int:

     '''simple docstring'''




     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    a__				(					self     :     Optional[Any]				,     **__lowerCamelCase     :     Optional[Any]     )							->							Tuple:

     '''simple docstring'''




     return AutoTokenizer.from_pretrained(self.checkpoint				,     **__lowerCamelCase     )

    def    a__				(					self     :     Optional[Any]     )							->							Optional[Any]:

     '''simple docstring'''




     shutil.rmtree(self.tmpdirname     )

    def    a__				(					self     :     Dict     )							->							Optional[int]:

     '''simple docstring'''




     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    a__				(					self     :     List[Any]     )							->							Optional[int]:

     '''simple docstring'''




     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    a__				(					self     :     Union[str, Any]     )							->							Any:

     '''simple docstring'''




     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    a__				(					self     :     Dict     )							->							Any:

     '''simple docstring'''




     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()     )









'''simple docstring'''





class 				lowercase       :


    '''simple docstring'''

    def __init__(					self     :     Any				,     __lowerCamelCase     :     Union[str, Any]				,     __lowerCamelCase     :     Optional[int]     )							->							Optional[int]:

     '''simple docstring'''




     lowerCamelCase__  =     name
     lowerCamelCase__  =     val

    def __str__(					self     :     Tuple     )							->							Union[str, Any]:

     '''simple docstring'''




     return f'''{self.__class__.__name__}({self.name}, {self.val})'''




    def __lt__(					self     :     List[str]				,     __lowerCamelCase     :     List[str]     )							->							str:

     '''simple docstring'''




     return self.val < other.val
class 				lowercase       :


    '''simple docstring'''

    def __init__(					self     :     int				,     __lowerCamelCase     :     Optional[Any]     )							->							List[Any]:

     '''simple docstring'''




     lowerCamelCase__  =     {}
     lowerCamelCase__  =     {}
     lowerCamelCase__  =     self.build_heap(__lowerCamelCase     )

    def __getitem__(					self     :     Tuple				,     __lowerCamelCase     :     Optional[int]     )							->							Tuple:

     '''simple docstring'''




     return self.get_value(__lowerCamelCase     )

    def    a__				(					self     :     str				,     __lowerCamelCase     :     int     )							->							Optional[Any]:

     '''simple docstring'''




     return (idx - 1) // 2

    def    a__				(					self     :     List[str]				,     __lowerCamelCase     :     List[Any]     )							->							Optional[int]:

     '''simple docstring'''




     return idx * 2 + 1

    def    a__				(					self     :     Any				,     __lowerCamelCase     :     str     )							->							Tuple:

     '''simple docstring'''




     return idx * 2 + 2

    def    a__				(					self     :     Any				,     __lowerCamelCase     :     int     )							->							Dict:

     '''simple docstring'''




     return self.heap_dict[key]

    def    a__				(					self     :     str				,     __lowerCamelCase     :     List[str]     )							->							str:

     '''simple docstring'''




     lowerCamelCase__  =     len(__lowerCamelCase     ) - 1
     lowerCamelCase__  =     self.get_parent_idx(__lowerCamelCase     )

     for idx, i in enumerate(__lowerCamelCase     ):
      lowerCamelCase__  =     idx
      lowerCamelCase__  =     i.val

     for i in range(__lowerCamelCase				,     -1				,     -1     ):
      self.sift_down(__lowerCamelCase				,     __lowerCamelCase     )
     return array

    def    a__				(					self     :     List[Any]				,     __lowerCamelCase     :     Tuple				,     __lowerCamelCase     :     Optional[int]     )							->							int:

     '''simple docstring'''




     while True:
      lowerCamelCase__  =     self.get_left_child_idx(__lowerCamelCase     )  # noqa: E741
      lowerCamelCase__  =     self.get_right_child_idx(__lowerCamelCase     )

      lowerCamelCase__  =     idx
      if l < len(__lowerCamelCase     ) and array[l] < array[idx]:
       lowerCamelCase__  =     l
      if r < len(__lowerCamelCase     ) and array[r] < array[smallest]:
       lowerCamelCase__  =     r

      if smallest != idx:
       lowerCamelCase__  ,	lowerCamelCase__  =     array[smallest], array[idx]
       (
           (
           lowerCamelCase__
       )  ,	(
           lowerCamelCase__
       )  ,	
       )  =     (
           self.idx_of_element[array[smallest]],
           self.idx_of_element[array[idx]],
       )
       lowerCamelCase__  =     smallest
      else:
       break

    def    a__				(					self     :     str				,     __lowerCamelCase     :     Optional[int]     )							->							Union[str, Any]:

     '''simple docstring'''




     lowerCamelCase__  =     self.get_parent_idx(__lowerCamelCase     )
     while p >= 0 and self.heap[p] > self.heap[idx]:
      lowerCamelCase__  ,	lowerCamelCase__  =     self.heap[idx], self.heap[p]
      lowerCamelCase__  ,	lowerCamelCase__  =     (
          self.idx_of_element[self.heap[idx]],
          self.idx_of_element[self.heap[p]],
      )
      lowerCamelCase__  =     p
      lowerCamelCase__  =     self.get_parent_idx(__lowerCamelCase     )

    def    a__				(					self     :     Union[str, Any]     )							->							List[Any]:

     '''simple docstring'''




     return self.heap[0]

    def    a__				(					self     :     Tuple     )							->							int:

     '''simple docstring'''




     lowerCamelCase__  ,	lowerCamelCase__  =     self.heap[-1], self.heap[0]
     lowerCamelCase__  ,	lowerCamelCase__  =     (
         self.idx_of_element[self.heap[-1]],
         self.idx_of_element[self.heap[0]],
     )

     lowerCamelCase__  =     self.heap.pop()
     del self.idx_of_element[x]
     self.sift_down(0				,     self.heap     )
     return x

    def    a__				(					self     :     List[str]				,     __lowerCamelCase     :     Tuple     )							->							List[Any]:

     '''simple docstring'''




     self.heap.append(__lowerCamelCase     )
     lowerCamelCase__  =     len(self.heap     ) - 1
     lowerCamelCase__  =     node.val
     self.sift_up(len(self.heap     ) - 1     )

    def    a__				(					self     :     Dict     )							->							Any:

     '''simple docstring'''




     return len(self.heap     ) == 0




    def    a__				(					self     :     Dict				,     __lowerCamelCase     :     str				,     __lowerCamelCase     :     Union[str, Any]     )							->							Tuple:

     '''simple docstring'''




     assert (
         self.heap[self.idx_of_element[node]].val > new_value
     ), "newValue must be less that current value"
     lowerCamelCase__  =     new_value
     lowerCamelCase__  =     new_value
     self.sift_up(self.idx_of_element[node]     )
__A							:							str  							=		Node("""R""", -1)
__A							:							Dict  							=		Node("""B""", 6)
__A							:							Tuple  							=		Node("""A""", 3)
__A							:							str  							=		Node("""X""", 1)
__A							:							Optional[Any]  							=		Node("""E""", 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
__A							:							Tuple  							=		MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print("""Min Heap - before decrease key""")
for i in my_min_heap.heap:
 print(i)

print("""Min Heap - After decrease key of node [B -> -17]""")
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
 print(i)

if __name__ == "__main__":
 import doctest

 doctest.testmod()

