



from __future__ import annotations

from random import random
from typing import Generic, TypeVar

a	:   Any       			=       TypeVar('KT')
a	:   Optional[Any]       			=       TypeVar('VT')







class 							_a							(					Generic[KT, VT] ):

			def __init__(self,					SCREAMING_SNAKE_CASE_ = "root",					SCREAMING_SNAKE_CASE_ = None )    ->					Union[str, Any]:
						UpperCAmelCase_:						Union[str, Any]					=			key
						UpperCAmelCase_:						str					=			value
						UpperCAmelCase_:						list[Node[KT, VT]]					=			[]

			def __repr__(self )    ->					Optional[Any]:
						return f'Node({self.key}: {self.value})'

			@property
			def 			__snake_case    (self )    ->					List[Any]:
						return len(self.forward )







class 							_a							(					Generic[KT, VT] ):

			def __init__(self,					SCREAMING_SNAKE_CASE_ = 0.5,					SCREAMING_SNAKE_CASE_ = 16 )    ->					Optional[int]:
						UpperCAmelCase_:						Node[KT, VT]					=			Node[KT, VT]()
						UpperCAmelCase_:						Optional[Any]					=			0
						UpperCAmelCase_:						Union[str, Any]					=			p
						UpperCAmelCase_:						int					=			max_level

			def __str__(self )    ->					str:
						UpperCAmelCase_:						str					=			list(self )

						if len(snake_case_ ) == 0:
									return f'SkipList(level={self.level})'

						UpperCAmelCase_:						Optional[Any]					=			max((len(str(snake_case_ ) ) for item in items),					default=4 )
						UpperCAmelCase_:						Optional[Any]					=			max(snake_case_,					4 ) + 4

						UpperCAmelCase_:						Optional[Any]					=			self.head
						UpperCAmelCase_:						Dict					=			[]

						UpperCAmelCase_:						Tuple					=			node.forward.copy()
						lines.append(f'[{node.key}]'.ljust(snake_case_,					"""-""" ) + """* """ * len(snake_case_ ) )
						lines.append(""" """ * label_size + """| """ * len(snake_case_ ) )

						while len(node.forward ) != 0:
									UpperCAmelCase_:						Tuple					=			node.forward[0]

									lines.append(
									    f'[{node.key}]'.ljust(snake_case_,					"""-""" )
									    + """ """.join(str(n.key ) if n.key == node.key else """|""" for n in forwards ) )
									lines.append(""" """ * label_size + """| """ * len(snake_case_ ) )
									UpperCAmelCase_:						List[str]					=			node.forward

						lines.append("""None""".ljust(snake_case_ ) + """* """ * len(snake_case_ ) )
						return f'SkipList(level={self.level})\n' + "\n".join(snake_case_ )

			def __iter__(self )    ->					Optional[Any]:
						UpperCAmelCase_:						int					=			self.head

						while len(node.forward ) != 0:
									yield node.forward[0].key
									UpperCAmelCase_:						Dict					=			node.forward[0]

			def 			__snake_case    (self )    ->					str:
						UpperCAmelCase_:						Union[str, Any]					=			1
						while random() < self.p and level < self.max_level:
									level += 1

						return level

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					str:
						UpperCAmelCase_:						Optional[Any]					=			[]

						UpperCAmelCase_:						Tuple					=			self.head

						for i in reversed(range(self.level ) ):
									# i < node.level - When node level is lesser than `i` decrement `i`.
									# node.forward[i].key < key - Jumping to node with key value higher
									#                             or equal to searched key would result
									#                             in skipping searched key.
									while i < node.level and node.forward[i].key < key:
												UpperCAmelCase_:						Dict					=			node.forward[i]
									# Each leftmost node (relative to searched node) will potentially have to
									# be updated.
									update_vector.append(snake_case_ )

						update_vector.reverse()  # Note that we were inserting values in reverse order.

						# len(node.forward) != 0 - If current node doesn't contain any further
						#                          references then searched key is not present.
						# node.forward[0].key == key - Next node key should be equal to search key
						#                              if key is present.
						if len(node.forward ) != 0 and node.forward[0].key == key:
									return node.forward[0], update_vector
						else:
									return None, update_vector

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					Dict:
						UpperCAmelCase_:						List[str]					=			self._locate_node(snake_case_ )

						if node is not None:
									for i, update_node in enumerate(snake_case_ ):
												# Remove or replace all references to removed node.
												if update_node.level > i and update_node.forward[i].key == key:
															if node.level > i:
																		UpperCAmelCase_:						Union[str, Any]					=			node.forward[i]
															else:
																		UpperCAmelCase_:						Any					=			update_node.forward[:i]

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_ )    ->					Union[str, Any]:
						UpperCAmelCase_:						Optional[int]					=			self._locate_node(snake_case_ )
						if node is not None:
									UpperCAmelCase_:						str					=			value
						else:
									UpperCAmelCase_:						Tuple					=			self.random_level()

									if level > self.level:
												# After level increase we have to add additional nodes to head.
												for _ in range(self.level - 1,					snake_case_ ):
															update_vector.append(self.head )
												UpperCAmelCase_:						int					=			level

									UpperCAmelCase_:						str					=			Node(snake_case_,					snake_case_ )

									for i, update_node in enumerate(update_vector[:level] ):
												# Change references to pass through new node.
												if update_node.level > i:
															new_node.forward.append(update_node.forward[i] )

												if update_node.level < i + 1:
															update_node.forward.append(snake_case_ )
												else:
															UpperCAmelCase_:						Union[str, Any]					=			new_node

			def 			__snake_case    (self,					SCREAMING_SNAKE_CASE_ )    ->					Union[str, Any]:
						UpperCAmelCase_:						Optional[Any]					=			self._locate_node(snake_case_ )

						if node is not None:
									return node.value

						return None







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						str					=			SkipList()
			skip_list.insert("""Key1"""						,		3   )
			skip_list.insert("""Key2"""						,		1_2   )
			skip_list.insert("""Key3"""						,		4_1   )
			skip_list.insert("""Key4"""						,		-1_9   )

			UpperCAmelCase_:						Dict					=			skip_list.head
			UpperCAmelCase_:						Dict					=			{}
			while node.level != 0:
						UpperCAmelCase_:						Dict					=			node.forward[0]
						UpperCAmelCase_:						List[Any]					=			node.value

			assert len(_lowerCAmelCase   ) == 4
			assert all_values["Key1"] == 3
			assert all_values["Key2"] == 1_2
			assert all_values["Key3"] == 4_1
			assert all_values["Key4"] == -1_9







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						Union[str, Any]					=			SkipList()
			skip_list.insert("""Key1"""						,		1_0   )
			skip_list.insert("""Key1"""						,		1_2   )

			skip_list.insert("""Key5"""						,		7   )
			skip_list.insert("""Key7"""						,		1_0   )
			skip_list.insert("""Key10"""						,		5   )

			skip_list.insert("""Key7"""						,		7   )
			skip_list.insert("""Key5"""						,		5   )
			skip_list.insert("""Key10"""						,		1_0   )

			UpperCAmelCase_:						Tuple					=			skip_list.head
			UpperCAmelCase_:						int					=			{}
			while node.level != 0:
						UpperCAmelCase_:						Any					=			node.forward[0]
						UpperCAmelCase_:						Optional[int]					=			node.value

			if len(_lowerCAmelCase   ) != 4:
						print()
			assert len(_lowerCAmelCase   ) == 4
			assert all_values["Key1"] == 1_2
			assert all_values["Key7"] == 7
			assert all_values["Key5"] == 5
			assert all_values["Key10"] == 1_0







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						str					=			SkipList()
			assert skip_list.find("""Some key"""   ) is None







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						Dict					=			SkipList()

			skip_list.insert("""Key2"""						,		2_0   )
			assert skip_list.find("""Key2"""   ) == 2_0

			skip_list.insert("""Some Key"""						,		1_0   )
			skip_list.insert("""Key2"""						,		8   )
			skip_list.insert("""V"""						,		1_3   )

			assert skip_list.find("""Y"""   ) is None
			assert skip_list.find("""Key2"""   ) == 8
			assert skip_list.find("""Some Key"""   ) == 1_0
			assert skip_list.find("""V"""   ) == 1_3







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						int					=			SkipList()
			skip_list.delete("""Some key"""   )

			assert len(skip_list.head.forward   ) == 0







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						Tuple					=			SkipList()

			skip_list.insert("""Key1"""						,		1_2   )
			skip_list.insert("""V"""						,		1_3   )
			skip_list.insert("""X"""						,		1_4   )
			skip_list.insert("""Key2"""						,		1_5   )

			skip_list.delete("""V"""   )
			skip_list.delete("""Key2"""   )

			assert skip_list.find("""V"""   ) is None
			assert skip_list.find("""Key2"""   ) is None







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						Dict					=			SkipList()

			skip_list.insert("""Key1"""						,		1_2   )
			skip_list.insert("""V"""						,		1_3   )
			skip_list.insert("""X"""						,		1_4   )
			skip_list.insert("""Key2"""						,		1_5   )

			skip_list.delete("""V"""   )
			assert skip_list.find("""V"""   ) is None
			assert skip_list.find("""X"""   ) == 1_4
			assert skip_list.find("""Key1"""   ) == 1_2
			assert skip_list.find("""Key2"""   ) == 1_5

			skip_list.delete("""X"""   )
			assert skip_list.find("""V"""   ) is None
			assert skip_list.find("""X"""   ) is None
			assert skip_list.find("""Key1"""   ) == 1_2
			assert skip_list.find("""Key2"""   ) == 1_5

			skip_list.delete("""Key1"""   )
			assert skip_list.find("""V"""   ) is None
			assert skip_list.find("""X"""   ) is None
			assert skip_list.find("""Key1"""   ) is None
			assert skip_list.find("""Key2"""   ) == 1_5

			skip_list.delete("""Key2"""   )
			assert skip_list.find("""V"""   ) is None
			assert skip_list.find("""X"""   ) is None
			assert skip_list.find("""Key1"""   ) is None
			assert skip_list.find("""Key2"""   ) is None







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						Dict					=			SkipList()

			skip_list.insert("""Key1"""						,		1_2   )
			skip_list.insert("""V"""						,		1_3   )
			skip_list.insert("""X"""						,		1_4_2   )
			skip_list.insert("""Key2"""						,		1_5   )

			skip_list.delete("""X"""   )

			def traverse_keys(lowerCAmelCase__:						Union[str, Any]   ):
						yield node.key
						for forward_node in node.forward:
									yield from traverse_keys(_lowerCAmelCase   )

			assert len(set(traverse_keys(skip_list.head   )   )   ) == 4







def       lowerCAmelCase_     ():





			"""simple docstring"""


			def is_sorted(lowerCAmelCase__:						Optional[int]   ):
						return all(next_item >= item for item, next_item in zip(_lowerCAmelCase						,		lst[1:]   )   )

			UpperCAmelCase_:						Optional[Any]					=			SkipList()
			for i in range(1_0   ):
						skip_list.insert(_lowerCAmelCase						,		_lowerCAmelCase   )
			assert is_sorted(list(_lowerCAmelCase   )   )
			skip_list.delete(5   )
			skip_list.delete(8   )
			skip_list.delete(2   )
			assert is_sorted(list(_lowerCAmelCase   )   )
			skip_list.insert(-1_2						,		-1_2   )
			skip_list.insert(7_7						,		7_7   )
			assert is_sorted(list(_lowerCAmelCase   )   )







def       lowerCAmelCase_     ():





			"""simple docstring"""


			for _ in range(1_0_0   ):
						# Repeat test 100 times due to the probabilistic nature of skip list
						# random values == random bugs
						test_insert()
						test_insert_overrides_existing_value()

						test_searching_empty_list_returns_none()
						test_search()

						test_deleting_item_from_empty_list_do_nothing()
						test_deleted_items_are_not_founded_by_find_method()
						test_delete_removes_only_given_key()
						test_delete_doesnt_leave_dead_nodes()

						test_iter_always_yields_sorted_values()







def       lowerCAmelCase_     ():





			"""simple docstring"""


			UpperCAmelCase_:						Any					=			SkipList()
			skip_list.insert(2						,		"""2"""   )
			skip_list.insert(4						,		"""4"""   )
			skip_list.insert(6						,		"""4"""   )
			skip_list.insert(4						,		"""5"""   )
			skip_list.insert(8						,		"""4"""   )
			skip_list.insert(9						,		"""4"""   )

			skip_list.delete(4   )

			print(_lowerCAmelCase   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()











'''simple docstring'''





from __future__ import annotations

import inspect
import unittest

import numpy as np

from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_tf_available():
       import tensorflow as tf

       from transformers import TFResNetForImageClassification, TFResNetModel
       from transformers.models.resnet.modeling_tf_resnet import TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST


if is_vision_available():
       from PIL import Image

       from transformers import AutoImageProcessor







class     UpperCAmelCase_       :
    """simple docstring"""







    def __init__(    self					:     int ,     snake_case_					:     Tuple ,     snake_case_					:     List[str]=3 ,     snake_case_					:     Tuple=32 ,     snake_case_					:     List[Any]=3 ,     snake_case_					:     List[str]=10 ,     snake_case_					:     List[str]=[10, 20, 30, 40] ,     snake_case_					:     Tuple=[1, 1, 2, 1] ,     snake_case_					:     Tuple=True ,     snake_case_					:     str=True ,     snake_case_					:     int="relu" ,     snake_case_					:     List[Any]=3 ,     snake_case_					:     str=None ,     ):
          snake_case__  :    List[Any]    						=      parent
          snake_case__  :    List[Any]    						=      batch_size
          snake_case__  :    int    						=      image_size
          snake_case__  :    List[Any]    						=      num_channels
          snake_case__  :    Optional[Any]    						=      embeddings_size
          snake_case__  :    Optional[int]    						=      hidden_sizes
          snake_case__  :    Tuple    						=      depths
          snake_case__  :    Any    						=      is_training
          snake_case__  :    Optional[int]    						=      use_labels
          snake_case__  :    Optional[int]    						=      hidden_act
          snake_case__  :    Optional[int]    						=      num_labels
          snake_case__  :    int    						=      scope
          snake_case__  :    Tuple    						=      len(snake_case_						)




    def lowerCamelCase       (    self					:     Any						):
          snake_case__  :    Union[str, Any]    						=      floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]						)

          snake_case__  :    Union[str, Any]    						=      None
          if self.use_labels:
                snake_case__  :    Optional[Any]    						=      ids_tensor([self.batch_size] ,     self.num_labels						)

          snake_case__  :    List[str]    						=      self.get_config()

          return config, pixel_values, labels




    def lowerCamelCase       (    self					:     int						):
          return ResNetConfig(
              num_channels=self.num_channels ,     embeddings_size=self.embeddings_size ,     hidden_sizes=self.hidden_sizes ,     depths=self.depths ,     hidden_act=self.hidden_act ,     num_labels=self.num_labels ,     image_size=self.image_size ,     )




    def lowerCamelCase       (    self					:     Tuple ,     snake_case_					:     Tuple ,     snake_case_					:     List[Any] ,     snake_case_					:     Optional[int]						):
          snake_case__  :    Optional[Any]    						=      TFResNetModel(config=snake_case_						)
          snake_case__  :    int    						=      model(snake_case_						)
          # expected last hidden states: B, C, H // 32, W // 32
          self.parent.assertEqual(
              result.last_hidden_state.shape ,     (self.batch_size, self.hidden_sizes[-1], self.image_size // 32, self.image_size // 32) ,     )




    def lowerCamelCase       (    self					:     List[str] ,     snake_case_					:     List[str] ,     snake_case_					:     str ,     snake_case_					:     Union[str, Any]						):
          snake_case__  :    str    						=      self.num_labels
          snake_case__  :    Optional[int]    						=      TFResNetForImageClassification(snake_case_						)
          snake_case__  :    Tuple    						=      model(snake_case_ ,     labels=snake_case_						)
          self.parent.assertEqual(result.logits.shape ,     (self.batch_size, self.num_labels)						)




    def lowerCamelCase       (    self					:     Tuple						):
          snake_case__  :    List[Any]    						=      self.prepare_config_and_inputs()
          snake_case__						,				snake_case__						,				snake_case__  :    str    						=      config_and_inputs
          snake_case__  :    int    						=      {"""pixel_values""": pixel_values}
          return config, inputs_dict







@require_tf
class     UpperCAmelCase_       (       _a		,		_a		,		unittest.TestCase	):
    """simple docstring"""







    lowercase					=		(TFResNetModel, TFResNetForImageClassification) if is_tf_available() else ()
    lowercase					=		(
        {"feature-extraction": TFResNetModel, "image-classification": TFResNetForImageClassification}
        if is_tf_available()
        else {}
    )

    lowercase					=		False
    lowercase					=		False
    lowercase					=		False
    lowercase					=		False
    lowercase					=		False




    def lowerCamelCase       (    self					:     Optional[int]						):
          snake_case__  :    Tuple    						=      TFResNetModelTester(self						)
          snake_case__  :    List[str]    						=      ConfigTester(self ,     config_class=snake_case_ ,     has_text_modality=snake_case_						)




    def lowerCamelCase       (    self					:     Dict						):
          self.create_and_test_config_common_properties()
          self.config_tester.create_and_test_config_to_json_string()
          self.config_tester.create_and_test_config_to_json_file()
          self.config_tester.create_and_test_config_from_and_save_pretrained()
          self.config_tester.create_and_test_config_with_num_labels()
          self.config_tester.check_config_can_be_init_without_params()
          self.config_tester.check_config_arguments_init()




    def lowerCamelCase       (    self					:     str						):
          return




    @unittest.skip(reason="""ResNet does not use inputs_embeds"""						)
    def lowerCamelCase       (    self					:     int						):
          pass




    @unittest.skip(reason="""ResNet does not support input and output embeddings"""						)
    def lowerCamelCase       (    self					:     List[Any]						):
          pass




    def lowerCamelCase       (    self					:     List[Any]						):
          snake_case__						,				snake_case__  :    List[Any]    						=      self.model_tester.prepare_config_and_inputs_for_common()

          for model_class in self.all_model_classes:
                snake_case__  :    Dict    						=      model_class(snake_case_						)
                snake_case__  :    Optional[Any]    						=      inspect.signature(model.call						)
                # signature.parameters is an OrderedDict => so arg_names order is deterministic
                snake_case__  :    Union[str, Any]    						=      [*signature.parameters.keys()]

                snake_case__  :    Optional[int]    						=      ["""pixel_values"""]
                self.assertListEqual(arg_names[:1] ,     snake_case_						)




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    Optional[int]    						=      self.model_tester.prepare_config_and_inputs()
          self.model_tester.create_and_check_model(*snake_case_						)




    def lowerCamelCase       (    self					:     List[str]						):
          def check_hidden_states_output(snake_case_					:     Any ,     snake_case_					:     Any ,     snake_case_					:     List[str]						):
                snake_case__  :    List[Any]    						=      model_class(snake_case_						)
                snake_case__  :    Dict    						=      model(**self._prepare_for_class(snake_case_ ,     snake_case_						)						)

                snake_case__  :    str    						=      outputs.encoder_hidden_states if config.is_encoder_decoder else outputs.hidden_states

                snake_case__  :    List[Any]    						=      self.model_tester.num_stages
                self.assertEqual(len(snake_case_						) ,     expected_num_stages + 1						)

                # ResNet's feature maps are of shape (batch_size, num_channels, height, width)
                self.assertListEqual(
                    list(hidden_states[0].shape[-2:]						) ,     [self.model_tester.image_size // 4, self.model_tester.image_size // 4] ,     )

          snake_case__						,				snake_case__  :    Any    						=      self.model_tester.prepare_config_and_inputs_for_common()
          snake_case__  :    List[Any]    						=      ["""basic""", """bottleneck"""]
          for model_class in self.all_model_classes:
                for layer_type in layers_type:
                      snake_case__  :    Dict    						=      layer_type
                      snake_case__  :    Optional[int]    						=      True
                      check_hidden_states_output(snake_case_ ,     snake_case_ ,     snake_case_						)

                      # check that output_hidden_states also work using config
                      del inputs_dict["output_hidden_states"]
                      snake_case__  :    List[Any]    						=      True

                      check_hidden_states_output(snake_case_ ,     snake_case_ ,     snake_case_						)




    def lowerCamelCase       (    self					:     Optional[Any]						):
          snake_case__  :    Tuple    						=      self.model_tester.prepare_config_and_inputs()
          self.model_tester.create_and_check_for_image_classification(*snake_case_						)




    @slow
    def lowerCamelCase       (    self					:     Optional[Any]						):
          for model_name in TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
                snake_case__  :    str    						=      TFResNetModel.from_pretrained(snake_case_						)
                self.assertIsNotNone(snake_case_						)





def 						__snake_case(				)		-> Optional[int]:
      snake_case__  :    Optional[Any]    						=      Image.open("""./tests/fixtures/tests_samples/COCO/000000039769.png"""		)
      return image







@require_tf
@require_vision
class     UpperCAmelCase_       (       unittest.TestCase	):
    """simple docstring"""







    @cached_property
    def lowerCamelCase       (    self					:     List[Any]						):
          return (
              AutoImageProcessor.from_pretrained(TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST[0]						)
              if is_vision_available()
              else None
          )




    @slow
    def lowerCamelCase       (    self					:     Optional[int]						):
          snake_case__  :    List[str]    						=      TFResNetForImageClassification.from_pretrained(TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST[0]						)

          snake_case__  :    List[Any]    						=      self.default_image_processor
          snake_case__  :    List[Any]    						=      prepare_img()
          snake_case__  :    List[str]    						=      image_processor(images=snake_case_ ,     return_tensors="""tf"""						)

          # forward pass
          snake_case__  :    Optional[Any]    						=      model(**snake_case_						)

          # verify the logits
          snake_case__  :    Union[str, Any]    						=      tf.TensorShape((1, 1_000)						)
          self.assertEqual(outputs.logits.shape ,     snake_case_						)

          snake_case__  :    List[str]    						=      tf.constant([-11.1069, -9.7877, -8.3777]						)

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