




"""simple docstring"""





class      a__				:


			def __init__(      self      :    Optional[Any]      ,  UpperCamelCase_      :    int      ,  UpperCamelCase_      :    Tuple):


						"""simple docstring"""




						__UpperCAmelCase	: Dict		=					name
						__UpperCAmelCase	: List[str]		=					val


			def __str__(      self      :    Dict):


						"""simple docstring"""




						return F"{self.__class__.__name__}({self.name}, {self.val})"


			def __lt__(      self      :    Tuple      ,  UpperCamelCase_      :    Any):


						"""simple docstring"""




						return self.val < other.val






class      a__				:


			def __init__(      self      :    int      ,  UpperCamelCase_      :    Any):


						"""simple docstring"""




						__UpperCAmelCase	: Union[str, Any]		=					{}
						__UpperCAmelCase	: Any		=					{}
						__UpperCAmelCase	: Dict		=					self.build_heap(UpperCAmelCase__)


			def __getitem__(      self      :    Optional[int]      ,  UpperCamelCase_      :    Tuple):


						"""simple docstring"""




						return self.get_value(UpperCAmelCase__)


			def       a_     (      self      :    Optional[Any]      ,  UpperCamelCase_      :    Union[str, Any]):


						"""simple docstring"""




						return (idx - 1) // 2


			def       a_     (      self      :    Tuple      ,  UpperCamelCase_      :    List[Any]):


						"""simple docstring"""




						return idx * 2 + 1


			def       a_     (      self      :    Optional[int]      ,  UpperCamelCase_      :    Optional[int]):


						"""simple docstring"""




						return idx * 2 + 2


			def       a_     (      self      :    Any      ,  UpperCamelCase_      :    Tuple):


						"""simple docstring"""




						return self.heap_dict[key]


			def       a_     (      self      :    Optional[int]      ,  UpperCamelCase_      :    Any):


						"""simple docstring"""




						__UpperCAmelCase	: int		=					len(UpperCAmelCase__) - 1
						__UpperCAmelCase	: List[str]		=					self.get_parent_idx(UpperCAmelCase__)

						for idx, i in enumerate(UpperCAmelCase__):
									__UpperCAmelCase	: Any		=					idx
									__UpperCAmelCase	: List[Any]		=					i.val

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


			def       a_     (      self      :    Any      ,  UpperCamelCase_      :    str      ,  UpperCamelCase_      :    Any):


						"""simple docstring"""




						while True:
									__UpperCAmelCase	: int		=					self.get_left_child_idx(UpperCAmelCase__)  # noqa: E741
									__UpperCAmelCase	: str		=					self.get_right_child_idx(UpperCAmelCase__)

									__UpperCAmelCase	: Optional[int]		=					idx
									if l < len(UpperCAmelCase__) and array[l] < array[idx]:
												__UpperCAmelCase	: int		=					l
									if r < len(UpperCAmelCase__) and array[r] < array[smallest]:
												__UpperCAmelCase	: Dict		=					r

									if smallest != idx:
												__UpperCAmelCase	: Dict		=					array[smallest], array[idx]
												(
												    __UpperCAmelCase	
												)	: Optional[Any]		=					(
												    self.idx_of_element[array[smallest]],
												    self.idx_of_element[array[idx]],
												)
												__UpperCAmelCase	: str		=					smallest
									else:
												break


			def       a_     (      self      :    Dict      ,  UpperCamelCase_      :    int):


						"""simple docstring"""




						__UpperCAmelCase	: int		=					self.get_parent_idx(UpperCAmelCase__)
						while p >= 0 and self.heap[p] > self.heap[idx]:
									__UpperCAmelCase	: str		=					self.heap[idx], self.heap[p]
									__UpperCAmelCase	: Union[str, Any]		=					(
									    self.idx_of_element[self.heap[idx]],
									    self.idx_of_element[self.heap[p]],
									)
									__UpperCAmelCase	: Any		=					p
									__UpperCAmelCase	: Dict		=					self.get_parent_idx(UpperCAmelCase__)


			def       a_     (      self      :    List[str]):


						"""simple docstring"""




						return self.heap[0]


			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: List[str]		=					self.heap[-1], self.heap[0]
						__UpperCAmelCase	: Union[str, Any]		=					(
						    self.idx_of_element[self.heap[-1]],
						    self.idx_of_element[self.heap[0]],
						)

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


			def       a_     (      self      :    str      ,  UpperCamelCase_      :    Optional[Any]):


						"""simple docstring"""




						self.heap.append(UpperCAmelCase__)
						__UpperCAmelCase	: Optional[Any]		=					len(self.heap) - 1
						__UpperCAmelCase	: List[Any]		=					node.val
						self.sift_up(len(self.heap) - 1)


			def       a_     (      self      :    List[Any]):


						"""simple docstring"""




						return len(self.heap) == 0


			def       a_     (      self      :    Union[str, Any]      ,  UpperCamelCase_      :    Tuple      ,  UpperCamelCase_      :    Dict):


						"""simple docstring"""




						assert (
						    self.heap[self.idx_of_element[node]].val > new_value
						), "newValue must be less that current value"
						__UpperCAmelCase	: List[Any]		=					new_value
						__UpperCAmelCase	: List[Any]		=					new_value
						self.sift_up(self.idx_of_element[node])






A   =       Node("""R""", -1)
A   =       Node("""B""", 6)
A   =       Node("""A""", 3)
A   =       Node("""X""", 1)
A   =       Node("""E""", 4)

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

# Generating Min-Heap from array
A   =       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()












"""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   ):


			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: Union[str, Any]		=					"ylacombe/bark-small"
						__UpperCAmelCase	: Any		=					tempfile.mkdtemp()
						__UpperCAmelCase	: List[str]		=					"en_speaker_1"
						__UpperCAmelCase	: List[Any]		=					"This is a test string"
						__UpperCAmelCase	: List[str]		=					"speaker_embeddings_path.json"
						__UpperCAmelCase	: Tuple		=					"speaker_embeddings"


			def       a_     (      self      :    Optional[int]      ,  **UpperCamelCase_      :    Optional[int]):


						"""simple docstring"""




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


			def       a_     (      self      :    Dict):


						"""simple docstring"""




						shutil.rmtree(self.tmpdirname)


			def       a_     (      self      :    int):


						"""simple docstring"""




						__UpperCAmelCase	: Optional[Any]		=					self.get_tokenizer()

						__UpperCAmelCase	: Optional[Any]		=					BarkProcessor(tokenizer=UpperCamelCase_)

						processor.save_pretrained(self.tmpdirname)
						__UpperCAmelCase	: Optional[int]		=					BarkProcessor.from_pretrained(self.tmpdirname)

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


			@slow
			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: str		=					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      ,  )

						__UpperCAmelCase	: Optional[Any]		=					self.get_tokenizer(bos_token="(BOS)"      ,  eos_token="(EOS)")

						__UpperCAmelCase	: Optional[Any]		=					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]):


						"""simple docstring"""




						__UpperCAmelCase	: List[Any]		=					BarkProcessor.from_pretrained(
						    pretrained_processor_name_or_path=self.checkpoint      ,  speaker_embeddings_dict_path=self.speaker_embeddings_dict_path      ,  )

						__UpperCAmelCase	: Optional[int]		=					35
						__UpperCAmelCase	: Union[str, Any]		=					2
						__UpperCAmelCase	: List[Any]		=					8

						__UpperCAmelCase	: str		=					{
						    "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
						__UpperCAmelCase	: Union[str, Any]		=					processor(text=self.input_string      ,  voice_preset=UpperCamelCase_)

						__UpperCAmelCase	: str		=					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
						__UpperCAmelCase	: int		=					os.path.join(self.tmpdirname      ,  "file.npz")
						np.savez(UpperCamelCase_      ,  **UpperCamelCase_)
						__UpperCAmelCase	: List[Any]		=					processor(text=self.input_string      ,  voice_preset=UpperCamelCase_)
						__UpperCAmelCase	: List[str]		=					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
						__UpperCAmelCase	: Tuple		=					processor(text=self.input_string      ,  voice_preset=self.voice_preset)


			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: Tuple		=					self.get_tokenizer()

						__UpperCAmelCase	: Any		=					BarkProcessor(tokenizer=UpperCamelCase_)

						__UpperCAmelCase	: List[Any]		=					processor(text=self.input_string)

						__UpperCAmelCase	: List[Any]		=					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())


