


"""simple docstring"""







import copy
import inspect

from transformers.testing_utils import require_torch, torch_device
from transformers.utils.backbone_utils import BackboneType
@require_torch
class 							lowerCamelCase       :


							"""simple docstring"""
							SCREAMING_SNAKE_CASE										=      ()
							SCREAMING_SNAKE_CASE										=      True






							def 					lowerCAmelCase     (						self :     str				):
													UpperCAmelCase__		=    self.config_class

													# test default config
													UpperCAmelCase__		=    config_class()
													self.assertIsNotNone(lowerCamelCase_				)
													UpperCAmelCase__		=    ['''stem'''] + [f"""stage{idx}""" for idx in range(1		, len(config.depths				) + 1				)]
													self.assertEqual(config.stage_names		, lowerCamelCase_				)
													self.assertTrue(set(config.out_features				).issubset(set(config.stage_names				)				)				)

													# Test out_features and out_indices are correctly set
													# out_features and out_indices both None
													UpperCAmelCase__		=    config_class(out_features=lowerCamelCase_		, out_indices=lowerCamelCase_				)
													self.assertEqual(config.out_features		, [config.stage_names[-1]]				)
													self.assertEqual(config.out_indices		, [len(config.stage_names				) - 1]				)

													# out_features and out_indices both set
													UpperCAmelCase__		=    config_class(out_features=['''stem''', '''stage1''']		, out_indices=[0, 1]				)
													self.assertEqual(config.out_features		, ['''stem''', '''stage1''']				)
													self.assertEqual(config.out_indices		, [0, 1]				)

													# Only out_features set
													UpperCAmelCase__		=    config_class(out_features=['''stage1''', '''stage3''']				)
													self.assertEqual(config.out_features		, ['''stage1''', '''stage3''']				)
													self.assertEqual(config.out_indices		, [1, 3]				)

													# Only out_indices set
													UpperCAmelCase__		=    config_class(out_indices=[0, 2]				)
													self.assertEqual(config.out_features		, [config.stage_names[0], config.stage_names[2]]				)
													self.assertEqual(config.out_indices		, [0, 2]				)

													# Error raised when out_indices do not correspond to out_features
													with self.assertRaises(lowerCamelCase_				):
																			UpperCAmelCase__		=    config_class(out_features=['''stage1''', '''stage2''']		, out_indices=[0, 2]				)






							def 					lowerCAmelCase     (						self :     Optional[Any]				):
													UpperCAmelCase__	,				UpperCAmelCase__		=    self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			UpperCAmelCase__		=    inspect.signature(model.forward				)
																			# signature.parameters is an OrderedDict => so arg_names order is deterministic
																			UpperCAmelCase__		=    [*signature.parameters.keys()]
																			UpperCAmelCase__		=    ['''pixel_values''']
																			self.assertListEqual(arg_names[:1]		, lowerCamelCase_				)






							def 					lowerCAmelCase     (						self :     Tuple				):
													UpperCAmelCase__	,				UpperCAmelCase__		=    self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			self.assertEqual(len(model.channels				)		, len(config.out_features				)				)
																			UpperCAmelCase__		=    model.num_features
																			UpperCAmelCase__		=    [config.stage_names.index(lowerCamelCase_				) for feat in config.out_features]
																			UpperCAmelCase__		=    [num_features[idx] for idx in out_indices]
																			self.assertListEqual(model.channels		, lowerCamelCase_				)

																			UpperCAmelCase__		=    copy.deepcopy(lowerCamelCase_				)
																			UpperCAmelCase__		=    None
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			self.assertEqual(len(model.channels				)		, 1				)
																			self.assertListEqual(model.channels		, [num_features[-1]]				)

																			UpperCAmelCase__		=    copy.deepcopy(lowerCamelCase_				)
																			UpperCAmelCase__		=    None
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			self.assertEqual(len(model.channels				)		, 1				)
																			self.assertListEqual(model.channels		, [num_features[-1]]				)






							def 					lowerCAmelCase     (						self :     str				):
													UpperCAmelCase__	,				UpperCAmelCase__		=    self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			model.to(lowerCamelCase_				)
																			model.eval()
																			UpperCAmelCase__		=    model(**lowerCamelCase_				)

																			self.assertEqual(len(result.feature_maps				)		, len(config.out_features				)				)
																			self.assertEqual(len(model.channels				)		, len(config.out_features				)				)
																			self.assertEqual(len(result.feature_maps				)		, len(config.out_indices				)				)
																			self.assertEqual(len(model.channels				)		, len(config.out_indices				)				)

																			# Check output of last stage is taken if out_features=None, out_indices=None
																			UpperCAmelCase__		=    copy.deepcopy(lowerCamelCase_				)
																			UpperCAmelCase__		=    None
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			model.to(lowerCamelCase_				)
																			model.eval()
																			UpperCAmelCase__		=    model(**lowerCamelCase_				)

																			self.assertEqual(len(result.feature_maps				)		, 1				)
																			self.assertEqual(len(model.channels				)		, 1				)

																			UpperCAmelCase__		=    copy.deepcopy(lowerCamelCase_				)
																			UpperCAmelCase__		=    None
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			model.to(lowerCamelCase_				)
																			model.eval()
																			UpperCAmelCase__		=    model(**lowerCamelCase_				)

																			self.assertEqual(len(result.feature_maps				)		, 1				)
																			self.assertEqual(len(model.channels				)		, 1				)

																			# Check backbone can be initialized with fresh weights
																			UpperCAmelCase__		=    copy.deepcopy(lowerCamelCase_				)
																			UpperCAmelCase__		=    False
																			UpperCAmelCase__		=    model_class(lowerCamelCase_				)
																			model.to(lowerCamelCase_				)
																			model.eval()
																			UpperCAmelCase__		=    model(**lowerCamelCase_				)






							def 					lowerCAmelCase     (						self :     int				):
													UpperCAmelCase__	,				UpperCAmelCase__		=    self.model_tester.prepare_config_and_inputs_for_common()

													for backbone_class in self.all_model_classes:
																			UpperCAmelCase__		=    backbone_class(lowerCamelCase_				)

																			self.assertTrue(hasattr(lowerCamelCase_		, '''backbone_type'''				)				)
																			self.assertTrue(hasattr(lowerCamelCase_		, '''stage_names'''				)				)
																			self.assertTrue(hasattr(lowerCamelCase_		, '''num_features'''				)				)
																			self.assertTrue(hasattr(lowerCamelCase_		, '''out_indices'''				)				)
																			self.assertTrue(hasattr(lowerCamelCase_		, '''out_features'''				)				)
																			self.assertTrue(hasattr(lowerCamelCase_		, '''out_feature_channels'''				)				)
																			self.assertTrue(hasattr(lowerCamelCase_		, '''channels'''				)				)

																			self.assertIsInstance(backbone.backbone_type		, lowerCamelCase_				)
																			# Verify num_features has been initialized in the backbone init
																			self.assertIsNotNone(backbone.num_features				)
																			self.assertTrue(len(backbone.channels				) == len(backbone.out_indices				)				)
																			self.assertTrue(len(backbone.stage_names				) == len(backbone.num_features				)				)
																			self.assertTrue(len(backbone.channels				) <= len(backbone.num_features				)				)
																			self.assertTrue(len(backbone.out_feature_channels				) == len(backbone.stage_names				)				)






							def 					lowerCAmelCase     (						self :     Union[str, Any]				):
													UpperCAmelCase__	,				UpperCAmelCase__		=    self.model_tester.prepare_config_and_inputs_for_common()
													UpperCAmelCase__		=    inputs_dict['''pixel_values'''].shape[0]

													for backbone_class in self.all_model_classes:
																			UpperCAmelCase__		=    backbone_class(lowerCamelCase_				)
																			backbone.to(lowerCamelCase_				)
																			backbone.eval()

																			UpperCAmelCase__		=    backbone(**lowerCamelCase_				)

																			# Test default outputs and verify feature maps
																			self.assertIsInstance(outputs.feature_maps		, lowerCamelCase_				)
																			self.assertTrue(len(outputs.feature_maps				) == len(backbone.channels				)				)
																			for feature_map, n_channels in zip(outputs.feature_maps		, backbone.channels				):
																									self.assertTrue(feature_map.shape[:2]		, (batch_size, n_channels)				)
																			self.assertIsNone(outputs.hidden_states				)
																			self.assertIsNone(outputs.attentions				)

																			# Test output_hidden_states=True
																			UpperCAmelCase__		=    backbone(**lowerCamelCase_		, output_hidden_states=lowerCamelCase_				)
																			self.assertIsNotNone(outputs.hidden_states				)
																			self.assertTrue(len(outputs.hidden_states				)		, len(backbone.stage_names				)				)
																			for hidden_state, n_channels in zip(outputs.hidden_states		, backbone.channels				):
																									self.assertTrue(hidden_state.shape[:2]		, (batch_size, n_channels)				)

																			# Test output_attentions=True
																			if self.has_attentions:
																									UpperCAmelCase__		=    backbone(**lowerCamelCase_		, output_attentions=lowerCamelCase_				)
																									self.assertIsNotNone(outputs.attentions				)



"""simple docstring"""







from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

__a			 =   TypeVar("T")
__a			 =   TypeVar("U")
class 							lowerCamelCase       (			Generic[T, U] ):


							"""simple docstring"""






							def __init__(						self :     str		, lowerCamelCase_ :     T | None		, lowerCamelCase_ :     U | None				):
													UpperCAmelCase__		=    key
													UpperCAmelCase__		=    val
													UpperCAmelCase__		=    0
													UpperCAmelCase__		=    None
													UpperCAmelCase__		=    None






							def __repr__(						self :     Tuple				):
													return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
													    self.key		, self.val		, self.freq		, self.next is not None		, self.prev is not None				)




class 							lowerCamelCase       (			Generic[T, U] ):


							"""simple docstring"""






							def __init__(						self :     List[str]				):
													UpperCAmelCase__		=    DoubleLinkedListNode(lowerCamelCase_		, lowerCamelCase_				)
													UpperCAmelCase__		=    DoubleLinkedListNode(lowerCamelCase_		, lowerCamelCase_				)
													UpperCAmelCase__	,				UpperCAmelCase__		=    self.rear, self.head






							def __repr__(						self :     int				):
													UpperCAmelCase__		=    ['''DoubleLinkedList''']
													UpperCAmelCase__		=    self.head
													while node.next is not None:
																			rep.append(str(lowerCamelCase_				)				)
																			UpperCAmelCase__		=    node.next
													rep.append(str(self.rear				)				)
													return ",\n    ".join(lowerCamelCase_				)






							def 					lowerCAmelCase     (						self :     List[Any]		, lowerCamelCase_ :     DoubleLinkedListNode[T, U]				):
													UpperCAmelCase__		=    self.rear.prev

													# All nodes other than self.head are guaranteed to have non-None previous
													assert previous is not None

													UpperCAmelCase__		=    node
													UpperCAmelCase__		=    previous
													UpperCAmelCase__		=    node
													UpperCAmelCase__		=    self.rear
													node.freq += 1
													self._position_node(lowerCamelCase_				)






							def 					lowerCAmelCase     (						self :     Optional[Any]		, lowerCamelCase_ :     DoubleLinkedListNode[T, U]				):

													while node.prev is not None and node.prev.freq > node.freq:
																			# swap node with previous node
																			UpperCAmelCase__		=    node.prev

																			UpperCAmelCase__		=    previous_node.prev
																			UpperCAmelCase__		=    node.prev
																			UpperCAmelCase__		=    previous_node
																			UpperCAmelCase__		=    node






							def 					lowerCAmelCase     (						self :     Union[str, Any]		, lowerCamelCase_ :     DoubleLinkedListNode[T, U]				):

													if node.prev is None or node.next is None:
																			return None

													UpperCAmelCase__		=    node.next
													UpperCAmelCase__		=    node.prev
													UpperCAmelCase__		=    None
													UpperCAmelCase__		=    None
													return node




class 							lowerCamelCase       (			Generic[T, U] ):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE										=      {}






							def __init__(						self :     str		, lowerCamelCase_ :     int				):
													UpperCAmelCase__		=    DoubleLinkedList()
													UpperCAmelCase__		=    capacity
													UpperCAmelCase__		=    0
													UpperCAmelCase__		=    0
													UpperCAmelCase__		=    0
													UpperCAmelCase__		=    {}






							def __repr__(						self :     Tuple				):
													return (
													    f"""CacheInfo(hits={self.hits}, misses={self.miss}, """
													    f"""capacity={self.capacity}, current_size={self.num_keys})"""
													)






							def __contains__(						self :     Optional[Any]		, lowerCamelCase_ :     T				):
													return key in self.cache






							def 					lowerCAmelCase     (						self :     Any		, lowerCamelCase_ :     T				):

													if key in self.cache:
																			self.hits += 1
																			UpperCAmelCase__		=    self.cache[key]
																			UpperCAmelCase__		=    self.list.remove(self.cache[key]				)
																			assert node == value_node

																			# node is guaranteed not None because it is in self.cache
																			assert node is not None
																			self.list.add(lowerCamelCase_				)
																			return node.val
													self.miss += 1
													return None






							def 					lowerCAmelCase     (						self :     Tuple		, lowerCamelCase_ :     T		, lowerCamelCase_ :     U				):

													if key not in self.cache:
																			if self.num_keys >= self.capacity:
																									# delete first node when over capacity
																									UpperCAmelCase__		=    self.list.head.next

																									# guaranteed to have a non-None first node when num_keys > 0
																									# explain to type checker via assertions
																									assert first_node is not None
																									assert first_node.key is not None
																									assert self.list.remove(lowerCamelCase_				) is not None
																									# first_node guaranteed to be in list

																									del self.cache[first_node.key]
																									self.num_keys -= 1
																			UpperCAmelCase__		=    DoubleLinkedListNode(lowerCamelCase_		, lowerCamelCase_				)
																			self.list.add(self.cache[key]				)
																			self.num_keys += 1

													else:
																			UpperCAmelCase__		=    self.list.remove(self.cache[key]				)
																			assert node is not None  # node guaranteed to be in list
																			UpperCAmelCase__		=    value
																			self.list.add(lowerCamelCase_				)






							@classmethod
							def 					lowerCAmelCase     (						cls :     type[LFUCache[T, U]]		, lowerCamelCase_ :     int = 128				):

													def cache_decorator_inner(lowerCamelCase_ :     Callable[[T], U]				) -> Callable[..., U]:
																			def cache_decorator_wrapper(*lowerCamelCase_ :     T				) -> U:
																									if func not in cls.decorator_function_to_instance_map:
																															UpperCAmelCase__		=    LFUCache(lowerCamelCase_				)

																									UpperCAmelCase__		=    cls.decorator_function_to_instance_map[func].get(args[0]				)
																									if result is None:
																															UpperCAmelCase__		=    func(*lowerCamelCase_				)
																															cls.decorator_function_to_instance_map[func].put(args[0]		, lowerCamelCase_				)
																									return result

																			def cache_info() -> LFUCache[T, U]:
																									return cls.decorator_function_to_instance_map[func]

																			setattr(lowerCamelCase_		, '''cache_info'''		, lowerCamelCase_				)  # noqa: B010

																			return cache_decorator_wrapper

													return cache_decorator_inner


if __name__ == "__main__":
						import doctest

						doctest.testmod()