

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 SCREAMING_SNAKE_CASE  (		unittest.TestCase							):






			"""simple docstring"""




			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				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 			__lowerCAmelCase (    self ,				**__UpperCamelCase							):

				"""simple docstring"""


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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				shutil.rmtree(self.tmpdirname							)


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				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 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				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 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				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 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				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=2_56 ,				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()							)







class SCREAMING_SNAKE_CASE  :






			"""simple docstring"""




			def __init__(    self ,				__UpperCamelCase ,				__UpperCamelCase							):

				"""simple docstring"""


				snake_case_      		= name
				snake_case_      		= val


			def __str__(    self							):

				"""simple docstring"""


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







			def __lt__(    self ,				__UpperCamelCase							):

				"""simple docstring"""


				return self.val < other.val







class SCREAMING_SNAKE_CASE  :






			"""simple docstring"""




			def __init__(    self ,				__UpperCamelCase							):

				"""simple docstring"""


				snake_case_      		= {}
				snake_case_      		= {}
				snake_case_      		= self.build_heap(__UpperCamelCase							)


			def __getitem__(    self ,				__UpperCamelCase							):

				"""simple docstring"""


				return self.get_value(__UpperCamelCase							)


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


				return (idx - 1) // 2


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


				return idx * 2 + 1


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


				return idx * 2 + 2


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


				return self.heap_dict[key]


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


				snake_case_      		= len(__UpperCamelCase							) - 1
				snake_case_      		= self.get_parent_idx(__UpperCamelCase							)

				for idx, i in enumerate(__UpperCamelCase							):
					snake_case_      		= idx
					snake_case_      		= i.val

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


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase ,				__UpperCamelCase							):

				"""simple docstring"""


				while True:
					snake_case_      		= self.get_left_child_idx(__UpperCamelCase							)  # noqa: E741
					snake_case_      		= self.get_right_child_idx(__UpperCamelCase							)

					snake_case_      		= idx
					if l < len(__UpperCamelCase							) and array[l] < array[idx]:
						snake_case_      		= l
					if r < len(__UpperCamelCase							) and array[r] < array[smallest]:
						snake_case_      		= r

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


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				return self.heap[0]


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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


			def 			__lowerCAmelCase (    self ,				__UpperCamelCase							):

				"""simple docstring"""


				self.heap.append(__UpperCamelCase							)
				snake_case_      		= len(self.heap							) - 1
				snake_case_      		= node.val
				self.sift_up(len(self.heap							) - 1							)


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				return len(self.heap							) == 0







			def 			__lowerCAmelCase (    self ,				__UpperCamelCase ,				__UpperCamelCase							):

				"""simple docstring"""


				assert (
				    self.heap[self.idx_of_element[node]].val > new_value
				), "newValue must be less that current value"
				snake_case_      		= new_value
				snake_case_      		= 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()
