





'''simple docstring'''







import inspect
import unittest

from transformers import ViTMSNConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
					import torch
					from torch import nn

					from transformers import ViTMSNForImageClassification, ViTMSNModel
					from transformers.models.vit_msn.modeling_vit_msn import VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST


if is_vision_available():
					from PIL import Image

					from transformers import ViTImageProcessor


class 					__a      :

							def __init__(							self							:     List[str]       ,     __magic_name__							:     Union[str, Any]       ,     __magic_name__							:     List[str]=13       ,     __magic_name__							:     Optional[Any]=30       ,     __magic_name__							:     Union[str, Any]=2       ,     __magic_name__							:     Optional[Any]=3       ,     __magic_name__							:     Optional[int]=True       ,     __magic_name__							:     Optional[int]=True       ,     __magic_name__							:     Tuple=32       ,     __magic_name__							:     str=5       ,     __magic_name__							:     Optional[Any]=4       ,     __magic_name__							:     List[str]=37       ,     __magic_name__							:     List[Any]="gelu"       ,     __magic_name__							:     List[Any]=0.1       ,     __magic_name__							:     int=0.1       ,     __magic_name__							:     Union[str, Any]=10       ,     __magic_name__							:     List[Any]=0.0_2       ,     __magic_name__							:     Any=None       ,     )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  parent
													UpperCAmelCase_			:      int     						=  batch_size
													UpperCAmelCase_			:      Any     						=  image_size
													UpperCAmelCase_			:      int     						=  patch_size
													UpperCAmelCase_			:      Dict     						=  num_channels
													UpperCAmelCase_			:      Union[str, Any]     						=  is_training
													UpperCAmelCase_			:      str     						=  use_labels
													UpperCAmelCase_			:      List[Any]     						=  hidden_size
													UpperCAmelCase_			:      Union[str, Any]     						=  num_hidden_layers
													UpperCAmelCase_			:      Union[str, Any]     						=  num_attention_heads
													UpperCAmelCase_			:      List[Any]     						=  intermediate_size
													UpperCAmelCase_			:      Any     						=  hidden_act
													UpperCAmelCase_			:      Union[str, Any]     						=  hidden_dropout_prob
													UpperCAmelCase_			:      Any     						=  attention_probs_dropout_prob
													UpperCAmelCase_			:      str     						=  type_sequence_label_size
													UpperCAmelCase_			:      List[Any]     						=  initializer_range
													UpperCAmelCase_			:      Any     						=  scope

													# in ViT MSN, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
													UpperCAmelCase_			:      List[Any]     						=  (image_size // patch_size) ** 2
													UpperCAmelCase_			:      List[Any]     						=  num_patches + 1

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







													"""simple docstring"""
													UpperCAmelCase_			:      Optional[int]     						=  floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]   )

													UpperCAmelCase_			:      Optional[int]     						=  None
													if self.use_labels:
																			UpperCAmelCase_			:      List[Any]     						=  ids_tensor([self.batch_size]       ,     self.type_sequence_label_size   )

													UpperCAmelCase_			:      Optional[Any]     						=  self.get_config()

													return config, pixel_values, labels

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







													"""simple docstring"""
													return ViTMSNConfig(
													    image_size=self.image_size       ,     patch_size=self.patch_size       ,     num_channels=self.num_channels       ,     hidden_size=self.hidden_size       ,     num_hidden_layers=self.num_hidden_layers       ,     num_attention_heads=self.num_attention_heads       ,     intermediate_size=self.intermediate_size       ,     hidden_act=self.hidden_act       ,     hidden_dropout_prob=self.hidden_dropout_prob       ,     attention_probs_dropout_prob=self.attention_probs_dropout_prob       ,     initializer_range=self.initializer_range       ,     )

							def     UpperCAmelCase__	(							self							:     str       ,     __magic_name__							:     List[Any]       ,     __magic_name__							:     Tuple       ,     __magic_name__							:     Optional[Any]   )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      Union[str, Any]     						=  ViTMSNModel(config=__magic_name__   )
													model.to(__magic_name__   )
													model.eval()
													UpperCAmelCase_			:      List[str]     						=  model(__magic_name__   )
													self.parent.assertEqual(result.last_hidden_state.shape       ,     (self.batch_size, self.seq_length, self.hidden_size)   )

							def     UpperCAmelCase__	(							self							:     int       ,     __magic_name__							:     Any       ,     __magic_name__							:     str       ,     __magic_name__							:     str   )					->       str:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  self.type_sequence_label_size
													UpperCAmelCase_			:      str     						=  ViTMSNForImageClassification(__magic_name__   )
													model.to(__magic_name__   )
													model.eval()
													UpperCAmelCase_			:      int     						=  model(__magic_name__       ,     labels=__magic_name__   )
													print('''Pixel and labels shape: {pixel_values.shape}, {labels.shape}'''   )
													print('''Labels: {labels}'''   )
													self.parent.assertEqual(result.logits.shape       ,     (self.batch_size, self.type_sequence_label_size)   )

													# test greyscale images
													UpperCAmelCase_			:      Optional[Any]     						=  1
													UpperCAmelCase_			:      List[Any]     						=  ViTMSNForImageClassification(__magic_name__   )
													model.to(__magic_name__   )
													model.eval()

													UpperCAmelCase_			:      str     						=  floats_tensor([self.batch_size, 1, self.image_size, self.image_size]   )
													UpperCAmelCase_			:      Tuple     						=  model(__magic_name__   )
													self.parent.assertEqual(result.logits.shape       ,     (self.batch_size, self.type_sequence_label_size)   )



							def     UpperCAmelCase__	(							self							:     Dict   )					->       Dict:







													"""simple docstring"""
													UpperCAmelCase_			:      Optional[Any]     						=  self.prepare_config_and_inputs()
													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      List[str]     						=  config_and_inputs
													UpperCAmelCase_			:      int     						=  {'''pixel_values''': pixel_values}
													return config, inputs_dict





@require_torch
class 					__a      (lowerCamelCase       ,		lowerCamelCase       ,		unittest.TestCase     ):
							__a					:   str									=       (ViTMSNModel, ViTMSNForImageClassification) if is_torch_available() else ()
							__a					:   str									=       (
							    {"feature-extraction": ViTMSNModel, "image-classification": ViTMSNForImageClassification}
							    if is_torch_available()
							    else {}
							)

							__a					:   Union[str, Any]									=       False
							__a					:   Optional[int]									=       False
							__a					:   Any									=       False
							__a					:   str									=       False

							def     UpperCAmelCase__	(							self							:     List[Any]   )					->       Dict:







													"""simple docstring"""
													UpperCAmelCase_			:      int     						=  ViTMSNModelTester(self   )
													UpperCAmelCase_			:      Tuple     						=  ConfigTester(self       ,     config_class=__magic_name__       ,     has_text_modality=__magic_name__       ,     hidden_size=37   )

							def     UpperCAmelCase__	(							self							:     Optional[Any]   )					->       int:







													"""simple docstring"""
													self.config_tester.run_common_tests()

							@unittest.skip(reason='''ViTMSN does not use inputs_embeds'''   )
							def     UpperCAmelCase__	(							self							:     str   )					->       List[str]:







													"""simple docstring"""
													pass

							def     UpperCAmelCase__	(							self							:     List[Any]   )					->       Optional[Any]:







													"""simple docstring"""
													UpperCAmelCase_						,       UpperCAmelCase_			:      Union[str, Any]     						=  self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			UpperCAmelCase_			:      int     						=  model_class(__magic_name__   )
																			self.assertIsInstance(model.get_input_embeddings()       ,     (nn.Module)   )
																			UpperCAmelCase_			:      Optional[int]     						=  model.get_output_embeddings()
																			self.assertTrue(x is None or isinstance(__magic_name__       ,     nn.Linear   )   )

							def     UpperCAmelCase__	(							self							:     int   )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_						,       UpperCAmelCase_			:      List[Any]     						=  self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			UpperCAmelCase_			:      Optional[int]     						=  model_class(__magic_name__   )
																			UpperCAmelCase_			:      Tuple     						=  inspect.signature(model.forward   )
																			# signature.parameters is an OrderedDict => so arg_names order is deterministic
																			UpperCAmelCase_			:      Optional[int]     						=  [*signature.parameters.keys()]

																			UpperCAmelCase_			:      Tuple     						=  ['''pixel_values''']
																			self.assertListEqual(arg_names[:1]       ,     __magic_name__   )

							def     UpperCAmelCase__	(							self							:     int   )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      str     						=  self.model_tester.prepare_config_and_inputs()
													self.model_tester.create_and_check_model(*__magic_name__   )

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







													"""simple docstring"""
													UpperCAmelCase_			:      Optional[Any]     						=  self.model_tester.prepare_config_and_inputs()
													self.model_tester.create_and_check_for_image_classification(*__magic_name__   )



							@slow
							def     UpperCAmelCase__	(							self							:     Union[str, Any]   )					->       Tuple:







													"""simple docstring"""
													for model_name in VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
																			UpperCAmelCase_			:      Dict     						=  ViTMSNModel.from_pretrained(__magic_name__   )
																			self.assertIsNotNone(__magic_name__   )





def        lowerCamelCase_      (  ) ->	List[str]:
						UpperCAmelCase_			:      Union[str, Any]     						=  Image.open('''./tests/fixtures/tests_samples/COCO/000000039769.png'''   )
						return image


@require_torch
@require_vision
class 					__a      (unittest.TestCase     ):

							@cached_property
							def     UpperCAmelCase__	(							self							:     int   )					->       Union[str, Any]:







													"""simple docstring"""
													return ViTImageProcessor.from_pretrained('''facebook/vit-msn-small'''   ) if is_vision_available() else None



							@slow
							def     UpperCAmelCase__	(							self							:     str   )					->       Union[str, Any]:







													"""simple docstring"""
													torch.manual_seed(2   )
													UpperCAmelCase_			:      List[str]     						=  ViTMSNForImageClassification.from_pretrained('''facebook/vit-msn-small'''   ).to(__magic_name__   )

													UpperCAmelCase_			:      Dict     						=  self.default_image_processor
													UpperCAmelCase_			:      Union[str, Any]     						=  prepare_img()
													UpperCAmelCase_			:      Optional[Any]     						=  image_processor(images=__magic_name__       ,     return_tensors='''pt'''   ).to(__magic_name__   )

													# forward pass
													with torch.no_grad():
																			UpperCAmelCase_			:      Optional[int]     						=  model(**__magic_name__   )

													# verify the logits
													UpperCAmelCase_			:      List[str]     						=  torch.Size((1, 10_00)   )
													self.assertEqual(outputs.logits.shape       ,     __magic_name__   )

													UpperCAmelCase_			:      str     						=  torch.tensor([-0.0_8_0_3, -0.4_4_5_4, -0.2_3_7_5]   ).to(__magic_name__   )

													self.assertTrue(torch.allclose(outputs.logits[0, :3]       ,     __magic_name__       ,     atol=1E-4   )   )












'''simple docstring'''







from collections.abc import Iterable
from typing import Any


class 					__a      :

							def __init__(							self							:     Optional[Any]       ,     __magic_name__							:     int | None = None   )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      List[str]     						=  value
													UpperCAmelCase_			:      Node | None     						=  None  # Added in order to delete a node easier
													UpperCAmelCase_			:      Node | None     						=  None
													UpperCAmelCase_			:      Node | None     						=  None



							def __repr__(							self							:     List[str]   )					->       str:







													"""simple docstring"""
													from pprint import pformat

													if self.left is None and self.right is None:
																			return str(self.value   )
													return pformat({F"""{self.value}""": (self.left, self.right)}       ,     indent=1   )





class 					__a      :

							def __init__(							self							:     int       ,     __magic_name__							:     Node | None = None   )					->       Optional[int]:







													"""simple docstring"""
													UpperCAmelCase_			:      str     						=  root

							def __str__(							self							:     Any   )					->       str:







													"""simple docstring"""
													return str(self.root   )

							def     UpperCAmelCase__	(							self							:     Any       ,     __magic_name__							:     Node       ,     __magic_name__							:     Node | None   )					->       None:







													"""simple docstring"""
													if new_children is not None:  # reset its kids
																			UpperCAmelCase_			:      Dict     						=  node.parent
													if node.parent is not None:  # reset its parent
																			if self.is_right(__magic_name__   ):  # If it is the right children
																									UpperCAmelCase_			:      Optional[Any]     						=  new_children
																			else:
																									UpperCAmelCase_			:      Optional[int]     						=  new_children
													else:
																			UpperCAmelCase_			:      List[str]     						=  new_children

							def     UpperCAmelCase__	(							self							:     List[str]       ,     __magic_name__							:     Node   )					->       bool:







													"""simple docstring"""
													if node.parent and node.parent.right:
																			return node == node.parent.right
													return False

							def     UpperCAmelCase__	(							self							:     Union[str, Any]   )					->       bool:







													"""simple docstring"""
													return self.root is None

							def     UpperCAmelCase__	(							self							:     Any       ,     __magic_name__							:     str   )					->       None:







													"""simple docstring"""
													UpperCAmelCase_			:      Tuple     						=  Node(__magic_name__   )  # create a new Node
													if self.empty():  # if Tree is empty
																			UpperCAmelCase_			:      List[Any]     						=  new_node  # set its root
													else:  # Tree is not empty
																			UpperCAmelCase_			:      str     						=  self.root  # from root
																			if parent_node is None:
																									return
																			while True:  # While we don't get to a leaf
																									if value < parent_node.value:  # We go left
																															if parent_node.left is None:
																																					UpperCAmelCase_			:      Union[str, Any]     						=  new_node  # We insert the new node in a leaf
																																					break
																															else:
																																					UpperCAmelCase_			:      List[Any]     						=  parent_node.left
																									else:
																															if parent_node.right is None:
																																					UpperCAmelCase_			:      List[Any]     						=  new_node
																																					break
																															else:
																																					UpperCAmelCase_			:      Union[str, Any]     						=  parent_node.right
																			UpperCAmelCase_			:      Union[str, Any]     						=  parent_node

							def     UpperCAmelCase__	(							self							:     Optional[Any]       ,     *__magic_name__							:     List[str]   )					->       None:







													"""simple docstring"""
													for value in values:
																			self.__insert(__magic_name__   )

							def     UpperCAmelCase__	(							self							:     Dict       ,     __magic_name__							:     int   )					->       Node | None:







													"""simple docstring"""
													if self.empty():
																			raise IndexError('''Warning: Tree is empty! please use another.'''   )
													else:
																			UpperCAmelCase_			:      str     						=  self.root
																			# use lazy evaluation here to avoid NoneType Attribute error
																			while node is not None and node.value is not value:
																									UpperCAmelCase_			:      List[str]     						=  node.left if value < node.value else node.right
																			return node

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     Node | None = None   )					->       Node | None:







													"""simple docstring"""
													if node is None:
																			if self.root is None:
																									return None
																			UpperCAmelCase_			:      Dict     						=  self.root

													if not self.empty():
																			while node.right is not None:
																									UpperCAmelCase_			:      Any     						=  node.right
													return node

							def     UpperCAmelCase__	(							self							:     Dict       ,     __magic_name__							:     Node | None = None   )					->       Node | None:







													"""simple docstring"""
													if node is None:
																			UpperCAmelCase_			:      Optional[int]     						=  self.root
													if self.root is None:
																			return None
													if not self.empty():
																			UpperCAmelCase_			:      Union[str, Any]     						=  self.root
																			while node.left is not None:
																									UpperCAmelCase_			:      Dict     						=  node.left
													return node

							def     UpperCAmelCase__	(							self							:     Tuple       ,     __magic_name__							:     int   )					->       None:







													"""simple docstring"""
													UpperCAmelCase_			:      List[str]     						=  self.search(__magic_name__   )  # Look for the node with that label
													if node is not None:
																			if node.left is None and node.right is None:  # If it has no children
																									self.__reassign_nodes(__magic_name__       ,     __magic_name__   )
																			elif node.left is None:  # Has only right children
																									self.__reassign_nodes(__magic_name__       ,     node.right   )
																			elif node.right is None:  # Has only left children
																									self.__reassign_nodes(__magic_name__       ,     node.left   )
																			else:
																									UpperCAmelCase_			:      List[str]     						=  self.get_max(
																									    node.left   )  # Gets the max value of the left branch
																									self.remove(tmp_node.value   )  # type: ignore
																									UpperCAmelCase_			:      Optional[int]     						=  (
																									    tmp_node.value  # type: ignore
																									)  # Assigns the value to the node to delete and keep tree structure

							def     UpperCAmelCase__	(							self							:     List[Any]       ,     __magic_name__							:     Node | None   )					->       Iterable:







													"""simple docstring"""
													if node is not None:
																			yield node  # Preorder Traversal
																			yield from self.preorder_traverse(node.left   )
																			yield from self.preorder_traverse(node.right   )

							def     UpperCAmelCase__	(							self							:     List[Any]       ,     __magic_name__							:     List[Any]=None   )					->       Any:







													"""simple docstring"""
													if traversal_function is None:
																			return self.preorder_traverse(self.root   )
													else:
																			return traversal_function(self.root   )

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     list       ,     __magic_name__							:     Node | None   )					->       None:







													"""simple docstring"""
													if node:
																			self.inorder(__magic_name__       ,     node.left   )
																			arr.append(node.value   )
																			self.inorder(__magic_name__       ,     node.right   )



							def     UpperCAmelCase__	(							self							:     Tuple       ,     __magic_name__							:     int       ,     __magic_name__							:     Node   )					->       int:







													"""simple docstring"""
													UpperCAmelCase_			:      list[int]     						=  []
													self.inorder(__magic_name__       ,     __magic_name__   )  # append all values to list using inorder traversal
													return arr[k - 1]





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Node | None   ) ->	list[Node]:
						UpperCAmelCase_			:      Any     						=  []
						if curr_node is not None:
												UpperCAmelCase_			:      Any     						=  postorder(curr_node.left   ) + postorder(curr_node.right   ) + [curr_node]
						return node_list





def        lowerCamelCase_      (  ) ->	None:
						UpperCAmelCase_			:      str     						=  (8, 3, 6, 1, 10, 14, 13, 4, 7)
						UpperCAmelCase_			:      Tuple     						=  BinarySearchTree()
						for i in testlist:
												t.insert(SCREAMING_SNAKE_CASE__   )

						# Prints all the elements of the list in order traversal
						print(SCREAMING_SNAKE_CASE__   )

						if t.search(6   ) is not None:
												print('''The value 6 exists'''   )
						else:
												print('''The value 6 doesn\'t exist'''   )

						if t.search(-1   ) is not None:
												print('''The value -1 exists'''   )
						else:
												print('''The value -1 doesn\'t exist'''   )

						if not t.empty():
												print('''Max Value: ''',			t.get_max().value   )  # type: ignore
												print('''Min Value: ''',			t.get_min().value   )  # type: ignore

						for i in testlist:
												t.remove(SCREAMING_SNAKE_CASE__   )
												print(SCREAMING_SNAKE_CASE__   )


if __name__ == "__main__":
					import doctest

					doctest.testmod(verbose=True)





