

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


A											=     {
    'configuration_perceiver': ['PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PerceiverConfig', 'PerceiverOnnxConfig'],
    'tokenization_perceiver': ['PerceiverTokenizer'],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A											=     ['PerceiverFeatureExtractor']
		A											=     ['PerceiverImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A											=     [
		    'PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'PerceiverForImageClassificationConvProcessing',
		    'PerceiverForImageClassificationFourier',
		    'PerceiverForImageClassificationLearned',
		    'PerceiverForMaskedLM',
		    'PerceiverForMultimodalAutoencoding',
		    'PerceiverForOpticalFlow',
		    'PerceiverForSequenceClassification',
		    'PerceiverLayer',
		    'PerceiverModel',
		    'PerceiverPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverOnnxConfig
		from .tokenization_perceiver import PerceiverTokenizer

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_perceiver import PerceiverFeatureExtractor
				from .image_processing_perceiver import PerceiverImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_perceiver import (
				    PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PerceiverForImageClassificationConvProcessing,
				    PerceiverForImageClassificationFourier,
				    PerceiverForImageClassificationLearned,
				    PerceiverForMaskedLM,
				    PerceiverForMultimodalAutoencoding,
				    PerceiverForOpticalFlow,
				    PerceiverForSequenceClassification,
				    PerceiverLayer,
				    PerceiverModel,
				    PerceiverPreTrainedModel,
				)

else:
		import sys

		A											=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







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()
