




import copy
import inspect

from transformers.testing_utils import require_torch, torch_device
from transformers.utils.backbone_utils import BackboneType
@require_torch
class 				__snake_case     :
				lowerCAmelCase__			=   ()
				lowerCAmelCase__			=   True



				def 					SCREAMING_SNAKE_CASE				(					self					:						Union[str, Any]					)     ->			int:





								'''simple docstring'''




								_lowerCAmelCase			:			Tuple        =					self.config_class

								# test default config
								_lowerCAmelCase			:			Union[str, Any]        =					config_class()
								self.assertIsNotNone(_UpperCAmelCase					)
								_lowerCAmelCase			:			Union[str, Any]        =					["""stem"""] + [f"stage{idx}" for idx in range(1						,		len(config.depths					) + 1					)]
								self.assertEqual(config.stage_names						,		_UpperCAmelCase					)
								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
								_lowerCAmelCase			:			Any        =					config_class(out_features=_UpperCAmelCase						,		out_indices=_UpperCAmelCase					)
								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
								_lowerCAmelCase			:			Union[str, Any]        =					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
								_lowerCAmelCase			:			Optional[Any]        =					config_class(out_features=["""stage1""", """stage3"""]					)
								self.assertEqual(config.out_features						,		["""stage1""", """stage3"""]					)
								self.assertEqual(config.out_indices						,		[1, 3]					)

								# Only out_indices set
								_lowerCAmelCase			:			Union[str, Any]        =					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(_UpperCAmelCase					):
												_lowerCAmelCase			:			Tuple        =					config_class(out_features=["""stage1""", """stage2"""]						,		out_indices=[0, 2]					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						List[Any]					)     ->			Union[str, Any]:





								'''simple docstring'''




								_lowerCAmelCase    ,			_lowerCAmelCase			:			Any        =					self.model_tester.prepare_config_and_inputs_for_common()

								for model_class in self.all_model_classes:
												_lowerCAmelCase			:			Optional[int]        =					model_class(_UpperCAmelCase					)
												_lowerCAmelCase			:			Any        =					inspect.signature(model.forward					)
												# signature.parameters is an OrderedDict => so arg_names order is deterministic
												_lowerCAmelCase			:			str        =					[*signature.parameters.keys()]
												_lowerCAmelCase			:			int        =					["""pixel_values"""]
												self.assertListEqual(arg_names[:1]						,		_UpperCAmelCase					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						Dict					)     ->			str:





								'''simple docstring'''




								_lowerCAmelCase    ,			_lowerCAmelCase			:			Union[str, Any]        =					self.model_tester.prepare_config_and_inputs_for_common()

								for model_class in self.all_model_classes:
												_lowerCAmelCase			:			Dict        =					model_class(_UpperCAmelCase					)
												self.assertEqual(len(model.channels					)						,		len(config.out_features					)					)
												_lowerCAmelCase			:			Optional[Any]        =					model.num_features
												_lowerCAmelCase			:			Optional[int]        =					[config.stage_names.index(_UpperCAmelCase					) for feat in config.out_features]
												_lowerCAmelCase			:			int        =					[num_features[idx] for idx in out_indices]
												self.assertListEqual(model.channels						,		_UpperCAmelCase					)

												_lowerCAmelCase			:			Union[str, Any]        =					copy.deepcopy(_UpperCAmelCase					)
												_lowerCAmelCase			:			List[str]        =					None
												_lowerCAmelCase			:			Optional[Any]        =					model_class(_UpperCAmelCase					)
												self.assertEqual(len(model.channels					)						,		1					)
												self.assertListEqual(model.channels						,		[num_features[-1]]					)

												_lowerCAmelCase			:			Union[str, Any]        =					copy.deepcopy(_UpperCAmelCase					)
												_lowerCAmelCase			:			Optional[Any]        =					None
												_lowerCAmelCase			:			List[str]        =					model_class(_UpperCAmelCase					)
												self.assertEqual(len(model.channels					)						,		1					)
												self.assertListEqual(model.channels						,		[num_features[-1]]					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						List[Any]					)     ->			Any:





								'''simple docstring'''




								_lowerCAmelCase    ,			_lowerCAmelCase			:			List[str]        =					self.model_tester.prepare_config_and_inputs_for_common()

								for model_class in self.all_model_classes:
												_lowerCAmelCase			:			Optional[Any]        =					model_class(_UpperCAmelCase					)
												model.to(_UpperCAmelCase					)
												model.eval()
												_lowerCAmelCase			:			Dict        =					model(**_UpperCAmelCase					)

												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
												_lowerCAmelCase			:			List[Any]        =					copy.deepcopy(_UpperCAmelCase					)
												_lowerCAmelCase			:			Dict        =					None
												_lowerCAmelCase			:			Tuple        =					model_class(_UpperCAmelCase					)
												model.to(_UpperCAmelCase					)
												model.eval()
												_lowerCAmelCase			:			Optional[Any]        =					model(**_UpperCAmelCase					)

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

												_lowerCAmelCase			:			Tuple        =					copy.deepcopy(_UpperCAmelCase					)
												_lowerCAmelCase			:			Any        =					None
												_lowerCAmelCase			:			Any        =					model_class(_UpperCAmelCase					)
												model.to(_UpperCAmelCase					)
												model.eval()
												_lowerCAmelCase			:			Optional[Any]        =					model(**_UpperCAmelCase					)

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

												# Check backbone can be initialized with fresh weights
												_lowerCAmelCase			:			Optional[Any]        =					copy.deepcopy(_UpperCAmelCase					)
												_lowerCAmelCase			:			Optional[Any]        =					False
												_lowerCAmelCase			:			List[Any]        =					model_class(_UpperCAmelCase					)
												model.to(_UpperCAmelCase					)
												model.eval()
												_lowerCAmelCase			:			Optional[Any]        =					model(**_UpperCAmelCase					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						int					)     ->			List[Any]:





								'''simple docstring'''




								_lowerCAmelCase    ,			_lowerCAmelCase			:			Any        =					self.model_tester.prepare_config_and_inputs_for_common()

								for backbone_class in self.all_model_classes:
												_lowerCAmelCase			:			int        =					backbone_class(_UpperCAmelCase					)

												self.assertTrue(hasattr(_UpperCAmelCase						,		"""backbone_type"""					)					)
												self.assertTrue(hasattr(_UpperCAmelCase						,		"""stage_names"""					)					)
												self.assertTrue(hasattr(_UpperCAmelCase						,		"""num_features"""					)					)
												self.assertTrue(hasattr(_UpperCAmelCase						,		"""out_indices"""					)					)
												self.assertTrue(hasattr(_UpperCAmelCase						,		"""out_features"""					)					)
												self.assertTrue(hasattr(_UpperCAmelCase						,		"""out_feature_channels"""					)					)
												self.assertTrue(hasattr(_UpperCAmelCase						,		"""channels"""					)					)

												self.assertIsInstance(backbone.backbone_type						,		_UpperCAmelCase					)
												# 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 					SCREAMING_SNAKE_CASE				(					self					:						Optional[int]					)     ->			Union[str, Any]:





								'''simple docstring'''




								_lowerCAmelCase    ,			_lowerCAmelCase			:			str        =					self.model_tester.prepare_config_and_inputs_for_common()
								_lowerCAmelCase			:			Tuple        =					inputs_dict["""pixel_values"""].shape[0]

								for backbone_class in self.all_model_classes:
												_lowerCAmelCase			:			int        =					backbone_class(_UpperCAmelCase					)
												backbone.to(_UpperCAmelCase					)
												backbone.eval()

												_lowerCAmelCase			:			Optional[int]        =					backbone(**_UpperCAmelCase					)

												# Test default outputs and verify feature maps
												self.assertIsInstance(outputs.feature_maps						,		_UpperCAmelCase					)
												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
												_lowerCAmelCase			:			Union[str, Any]        =					backbone(**_UpperCAmelCase						,		output_hidden_states=_UpperCAmelCase					)
												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:
																_lowerCAmelCase			:			Any        =					backbone(**_UpperCAmelCase						,		output_attentions=_UpperCAmelCase					)
																self.assertIsNotNone(outputs.attentions					)







def 							_UpperCAmelCase     (UpperCamelCase_       :       int					,			UpperCamelCase_       :       Optional[int]				):
				'''simple docstring'''
				_lowerCAmelCase			:			Dict        =					len(UpperCamelCase_				)
				# Create a stack and push index of fist element to it
				_lowerCAmelCase			:			Tuple        =					[]
				st.append(0				)

				# Span value of first element is always 1
				_lowerCAmelCase			:			List[Any]        =					1

				# Calculate span values for rest of the elements
				for i in range(1					,			UpperCamelCase_				):
								# Pop elements from stack while stack is not
								# empty and top of stack is smaller than price[i]
								while len(UpperCamelCase_				) > 0 and price[st[0]] <= price[i]:
												st.pop()

								# If stack becomes empty, then price[i] is greater
								# than all elements on left of it, i.e. price[0],
								# price[1], ..price[i-1]. Else the price[i]  is
								# greater than elements after top of stack
								_lowerCAmelCase			:			Union[str, Any]        =					i + 1 if len(UpperCamelCase_				) <= 0 else (i - st[0])

								# Push this element to stack
								st.append(UpperCamelCase_				)




def 							_UpperCAmelCase     (UpperCamelCase_       :       Dict					,			UpperCamelCase_       :       Union[str, Any]				):
				'''simple docstring'''
				for i in range(0					,			UpperCamelCase_				):
								print(arr[i]					,			end=""" """				)


# Driver program to test above function
_lowerCamelCase					:     Union[str, Any]					  =  [1_0, 4, 5, 9_0, 1_2_0, 8_0]
_lowerCamelCase					:     List[Any]					  =  [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)





print_array(S, len(price))

