

class 				__UpperCamelCase				:







	def __init__(   self: Tuple  , __UpperCamelCase: Tuple  , __UpperCamelCase: Any      ):

						'''simple docstring'''





						__magic_name__							=    name
						__magic_name__							=    val







	def __str__(   self: Optional[Any]      ):

						'''simple docstring'''





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







	def __lt__(   self: Optional[Any]  , __UpperCamelCase: Any      ):

						'''simple docstring'''





						return self.val < other.val




class 				__UpperCamelCase				:







	def __init__(   self: Optional[int]  , __UpperCamelCase: Dict      ):

						'''simple docstring'''





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







	def __getitem__(   self: Union[str, Any]  , __UpperCamelCase: Union[str, Any]      ):

						'''simple docstring'''





						return self.get_value(__UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Tuple  , __UpperCamelCase: Optional[int]      ):

						'''simple docstring'''





						return (idx - 1) // 2







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]  , __UpperCamelCase: Union[str, Any]      ):

						'''simple docstring'''





						return idx * 2 + 1







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]  , __UpperCamelCase: List[str]      ):

						'''simple docstring'''





						return idx * 2 + 2







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]  , __UpperCamelCase: Any      ):

						'''simple docstring'''





						return self.heap_dict[key]







	def 	_SCREAMING_SNAKE_CASE							(   self: Dict  , __UpperCamelCase: Tuple      ):

						'''simple docstring'''





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

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

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







	def 	_SCREAMING_SNAKE_CASE							(   self: Any  , __UpperCamelCase: List[str]  , __UpperCamelCase: List[Any]      ):

						'''simple docstring'''





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

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

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







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]  , __UpperCamelCase: Optional[int]      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						return self.heap[0]







	def 	_SCREAMING_SNAKE_CASE							(   self: str      ):

						'''simple docstring'''





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

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







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]  , __UpperCamelCase: Tuple      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						return len(self.heap      ) == 0







	def 	_SCREAMING_SNAKE_CASE							(   self: str  , __UpperCamelCase: str  , __UpperCamelCase: int      ):

						'''simple docstring'''





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







import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list

@require_torchaudio
@require_sentencepiece
class 				__UpperCamelCase				(					unittest.TestCase			):







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						__magic_name__							=    'laion/clap-htsat-unfused'
						__magic_name__							=    tempfile.mkdtemp()







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]  , **__UpperCamelCase: List[Any]      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: int  , **__UpperCamelCase: Dict      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]      ):

						'''simple docstring'''





						shutil.rmtree(self.tmpdirname      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						__magic_name__							=    self.get_tokenizer()
						__magic_name__							=    self.get_feature_extractor()

						__magic_name__							=    ClapProcessor(tokenizer=__UpperCamelCase  , feature_extractor=__UpperCamelCase      )

						processor.save_pretrained(self.tmpdirname      )
						__magic_name__							=    ClapProcessor.from_pretrained(self.tmpdirname      )

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

						self.assertEqual(processor.feature_extractor.to_json_string()  , feature_extractor.to_json_string()      )
						self.assertIsInstance(processor.feature_extractor  , __UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Union[str, Any]      ):

						'''simple docstring'''





						__magic_name__							=    ClapProcessor(tokenizer=self.get_tokenizer()  , feature_extractor=self.get_feature_extractor()      )
						processor.save_pretrained(self.tmpdirname      )

						__magic_name__							=    self.get_tokenizer(bos_token='(BOS)'  , eos_token='(EOS)'      )
						__magic_name__							=    self.get_feature_extractor(do_normalize=__UpperCamelCase  , padding_value=1.0      )

						__magic_name__							=    ClapProcessor.from_pretrained(
						    self.tmpdirname  , bos_token='(BOS)'  , eos_token='(EOS)'  , do_normalize=__UpperCamelCase  , padding_value=1.0      )

						self.assertEqual(processor.tokenizer.get_vocab()  , tokenizer_add_kwargs.get_vocab()      )
						self.assertIsInstance(processor.tokenizer  , __UpperCamelCase      )

						self.assertEqual(processor.feature_extractor.to_json_string()  , feature_extractor_add_kwargs.to_json_string()      )
						self.assertIsInstance(processor.feature_extractor  , __UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[str]      ):

						'''simple docstring'''





						__magic_name__							=    self.get_feature_extractor()
						__magic_name__							=    self.get_tokenizer()

						__magic_name__							=    ClapProcessor(tokenizer=__UpperCamelCase  , feature_extractor=__UpperCamelCase      )

						__magic_name__							=    floats_list((3, 10_00)      )

						__magic_name__							=    feature_extractor(__UpperCamelCase  , return_tensors='np'      )
						__magic_name__							=    processor(audios=__UpperCamelCase  , return_tensors='np'      )

						for key in input_feat_extract.keys():
											self.assertAlmostEqual(input_feat_extract[key].sum()  , input_processor[key].sum()  , delta=1E-2      )







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]      ):

						'''simple docstring'''





						__magic_name__							=    self.get_feature_extractor()
						__magic_name__							=    self.get_tokenizer()

						__magic_name__							=    ClapProcessor(tokenizer=__UpperCamelCase  , feature_extractor=__UpperCamelCase      )

						__magic_name__							=    'This is a test string'

						__magic_name__							=    processor(text=__UpperCamelCase      )

						__magic_name__							=    tokenizer(__UpperCamelCase      )

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







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]      ):

						'''simple docstring'''





						__magic_name__							=    self.get_feature_extractor()
						__magic_name__							=    self.get_tokenizer()

						__magic_name__							=    ClapProcessor(tokenizer=__UpperCamelCase  , feature_extractor=__UpperCamelCase      )

						__magic_name__							=    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

						__magic_name__							=    processor.batch_decode(__UpperCamelCase      )
						__magic_name__							=    tokenizer.batch_decode(__UpperCamelCase      )

						self.assertListEqual(__UpperCamelCase  , __UpperCamelCase      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Any      ):

						'''simple docstring'''





						__magic_name__							=    self.get_feature_extractor()
						__magic_name__							=    self.get_tokenizer()

						__magic_name__							=    ClapProcessor(tokenizer=__UpperCamelCase  , feature_extractor=__UpperCamelCase      )

						self.assertListEqual(
						    processor.model_input_names[2:]  , feature_extractor.model_input_names  , msg='`processor` and `feature_extractor` model input names do not match'  , )




