


'''simple docstring'''





from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch

from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch
@require_torch
@require_tf
class 						a__					(					a_   ):





			'''simple docstring'''

			def 					lowerCAmelCase     (  self							:			Optional[int]	)      ->		List[str]:
						__A=	SMALL_MODEL_IDENTIFIER
						__A=	'pt'
						__A=	'tf'
			def 					lowerCAmelCase     (  self							:			List[Any]			,    lowerCAmelCase_							:			List[str]	)      ->		Optional[Any]:
						__A=	AutoModel.from_pretrained(self.test_model	)
						model_pt.save_pretrained(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			int			,    lowerCAmelCase_							:			Optional[Any]	)      ->		int:
						__A=	TFAutoModel.from_pretrained(self.test_model			,    from_pt=lowerCAmelCase_	)
						model_tf.save_pretrained(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Dict	)      ->		Optional[Any]:
						__A=	'mock_framework'

						# Framework provided - return whatever the user provides
						__A=	FeaturesManager.determine_framework(self.test_model			,    lowerCAmelCase_	)
						self.assertEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						# Local checkpoint and framework provided - return provided framework
						# PyTorch checkpoint
						with TemporaryDirectory() as local_pt_ckpt:
									self._setup_pt_ckpt(lowerCAmelCase_	)
									__A=	FeaturesManager.determine_framework(lowerCAmelCase_			,    lowerCAmelCase_	)
									self.assertEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						# TensorFlow checkpoint
						with TemporaryDirectory() as local_tf_ckpt:
									self._setup_tf_ckpt(lowerCAmelCase_	)
									__A=	FeaturesManager.determine_framework(lowerCAmelCase_			,    lowerCAmelCase_	)
									self.assertEqual(lowerCAmelCase_			,    lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		Optional[Any]:
						# PyTorch checkpoint
						with TemporaryDirectory() as local_pt_ckpt:
									self._setup_pt_ckpt(lowerCAmelCase_	)
									__A=	FeaturesManager.determine_framework(lowerCAmelCase_	)
									self.assertEqual(lowerCAmelCase_			,    self.framework_pt	)

						# TensorFlow checkpoint
						with TemporaryDirectory() as local_tf_ckpt:
									self._setup_tf_ckpt(lowerCAmelCase_	)
									__A=	FeaturesManager.determine_framework(lowerCAmelCase_	)
									self.assertEqual(lowerCAmelCase_			,    self.framework_tf	)

						# Invalid local checkpoint
						with TemporaryDirectory() as local_invalid_ckpt:
									with self.assertRaises(lowerCAmelCase_	):
												__A=	FeaturesManager.determine_framework(lowerCAmelCase_	)

			def 					lowerCAmelCase     (  self							:			List[str]	)      ->		List[Any]:
						__A=	MagicMock(return_value=lowerCAmelCase_	)
						with patch('transformers.onnx.features.is_tf_available'			,    lowerCAmelCase_	):
									__A=	FeaturesManager.determine_framework(self.test_model	)
									self.assertEqual(lowerCAmelCase_			,    self.framework_pt	)

						# PyTorch not in environment -> use TensorFlow
						__A=	MagicMock(return_value=lowerCAmelCase_	)
						with patch('transformers.onnx.features.is_torch_available'			,    lowerCAmelCase_	):
									__A=	FeaturesManager.determine_framework(self.test_model	)
									self.assertEqual(lowerCAmelCase_			,    self.framework_tf	)

						# Both in environment -> use PyTorch
						__A=	MagicMock(return_value=lowerCAmelCase_	)
						__A=	MagicMock(return_value=lowerCAmelCase_	)
						with patch('transformers.onnx.features.is_tf_available'			,    lowerCAmelCase_	), patch(
						    'transformers.onnx.features.is_torch_available'			,    lowerCAmelCase_	):
									__A=	FeaturesManager.determine_framework(self.test_model	)
									self.assertEqual(lowerCAmelCase_			,    self.framework_pt	)

						# Both not in environment -> raise error
						__A=	MagicMock(return_value=lowerCAmelCase_	)
						__A=	MagicMock(return_value=lowerCAmelCase_	)
						with patch('transformers.onnx.features.is_tf_available'			,    lowerCAmelCase_	), patch(
						    'transformers.onnx.features.is_torch_available'			,    lowerCAmelCase_	):
									with self.assertRaises(lowerCAmelCase_	):
												__A=	FeaturesManager.determine_framework(self.test_model	)







'''simple docstring'''





class 						a__					:





			'''simple docstring'''

			def __init__(  self							:			Tuple			,    lowerCAmelCase_							:			Optional[Any]			,    lowerCAmelCase_							:			Dict	)      ->		List[str]:
						__A=	name
						__A=	val
			def __str__(  self							:			int	)      ->		List[Any]:
						return F"""{self.__class__.__name__}({self.name}, {self.val})"""

			def __lt__(  self							:			Optional[Any]			,    lowerCAmelCase_							:			str	)      ->		List[Any]:
						return self.val < other.val


class 						a__					:





			'''simple docstring'''

			def __init__(  self							:			Tuple			,    lowerCAmelCase_							:			int	)      ->		Any:
						__A=	{}
						__A=	{}
						__A=	self.build_heap(lowerCAmelCase_	)
			def __getitem__(  self							:			int			,    lowerCAmelCase_							:			Dict	)      ->		Tuple:
						return self.get_value(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Tuple			,    lowerCAmelCase_							:			List[str]	)      ->		List[str]:
						return (idx - 1) // 2
			def 					lowerCAmelCase     (  self							:			Union[str, Any]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		List[str]:
						return idx * 2 + 1
			def 					lowerCAmelCase     (  self							:			Optional[Any]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Any:
						return idx * 2 + 2
			def 					lowerCAmelCase     (  self							:			str			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Dict:
						return self.heap_dict[key]
			def 					lowerCAmelCase     (  self							:			List[Any]			,    lowerCAmelCase_							:			List[Any]	)      ->		Tuple:
						__A=	len(lowerCAmelCase_	) - 1
						__A=	self.get_parent_idx(lowerCAmelCase_	)

						for idx, i in enumerate(lowerCAmelCase_	):
									__A=	idx
									__A=	i.val

						for i in range(lowerCAmelCase_			,    -1			,    -1	):
									self.sift_down(lowerCAmelCase_			,    lowerCAmelCase_	)
						return array
			def 					lowerCAmelCase     (  self							:			int			,    lowerCAmelCase_							:			List[Any]			,    lowerCAmelCase_							:			Tuple	)      ->		Dict:
						while True:
									__A=	self.get_left_child_idx(lowerCAmelCase_	)  # noqa: E741
									__A=	self.get_right_child_idx(lowerCAmelCase_	)

									__A=	idx
									if l < len(lowerCAmelCase_	) and array[l] < array[idx]:
												__A=	l
									if r < len(lowerCAmelCase_	) and array[r] < array[smallest]:
												__A=	r

									if smallest != idx:
												__A,	__A=	array[smallest], array[idx]
												(
												    (
												    __A
												),	(
												    __A
												),	
												)=	(
												    self.idx_of_element[array[smallest]],
												    self.idx_of_element[array[idx]],
												)
												__A=	smallest
									else:
												break
			def 					lowerCAmelCase     (  self							:			Dict			,    lowerCAmelCase_							:			Dict	)      ->		str:
						__A=	self.get_parent_idx(lowerCAmelCase_	)
						while p >= 0 and self.heap[p] > self.heap[idx]:
									__A,	__A=	self.heap[idx], self.heap[p]
									__A,	__A=	(
									    self.idx_of_element[self.heap[idx]],
									    self.idx_of_element[self.heap[p]],
									)
									__A=	p
									__A=	self.get_parent_idx(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						return self.heap[0]
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		int:
						__A,	__A=	self.heap[-1], self.heap[0]
						__A,	__A=	(
						    self.idx_of_element[self.heap[-1]],
						    self.idx_of_element[self.heap[0]],
						)

						__A=	self.heap.pop()
						del self.idx_of_element[x]
						self.sift_down(0			,    self.heap	)
						return x
			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Optional[int]:
						self.heap.append(lowerCAmelCase_	)
						__A=	len(self.heap	) - 1
						__A=	node.val
						self.sift_up(len(self.heap	) - 1	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						return len(self.heap	) == 0

			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			List[Any]			,    lowerCAmelCase_							:			List[Any]	)      ->		Optional[Any]:
						assert (
						    self.heap[self.idx_of_element[node]].val > new_value
						), "newValue must be less that current value"
						__A=	new_value
						__A=	new_value
						self.sift_up(self.idx_of_element[node]	)


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

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

# Generating Min-Heap from array
UpperCAmelCase__  			=				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, -1_7)

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

if __name__ == "__main__":
					import doctest

					doctest.testmod()



