


'''simple docstring'''






import unittest

from transformers import BigBirdConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
  import jax

  from transformers.models.big_bird.modeling_flax_big_bird import (
      FlaxBigBirdForCausalLM,
      FlaxBigBirdForMaskedLM,
      FlaxBigBirdForMultipleChoice,
      FlaxBigBirdForPreTraining,
      FlaxBigBirdForQuestionAnswering,
      FlaxBigBirdForSequenceClassification,
      FlaxBigBirdForTokenClassification,
      FlaxBigBirdModel,
  )




class 		a__    (							unittest.TestCase  ):





       '''simple docstring'''






       def __init__(		self ,   lowerCamelCase_ ,   lowerCamelCase_=2 ,   lowerCamelCase_=56 ,   lowerCamelCase_=True ,   lowerCamelCase_=True ,   lowerCamelCase_=True ,   lowerCamelCase_=True ,   lowerCamelCase_=99 ,   lowerCamelCase_=32 ,   lowerCamelCase_=2 ,   lowerCamelCase_=2 ,   lowerCamelCase_=7 ,   lowerCamelCase_="gelu_new" ,   lowerCamelCase_=0.1 ,   lowerCamelCase_=0.1 ,   lowerCamelCase_=5_12 ,   lowerCamelCase_=16 ,   lowerCamelCase_=2 ,   lowerCamelCase_=0.02 ,   lowerCamelCase_=4 ,   lowerCamelCase_="block_sparse" ,   lowerCamelCase_=True ,   lowerCamelCase_=False ,   lowerCamelCase_=2 ,   lowerCamelCase_=3 ,   )	->							Tuple:
              lowerCAmelCase__	       =     parent
              lowerCAmelCase__	       =     batch_size
              lowerCAmelCase__	       =     seq_length
              lowerCAmelCase__	       =     is_training
              lowerCAmelCase__	       =     use_attention_mask
              lowerCAmelCase__	       =     use_token_type_ids
              lowerCAmelCase__	       =     use_labels
              lowerCAmelCase__	       =     vocab_size
              lowerCAmelCase__	       =     hidden_size
              lowerCAmelCase__	       =     num_hidden_layers
              lowerCAmelCase__	       =     num_attention_heads
              lowerCAmelCase__	       =     intermediate_size
              lowerCAmelCase__	       =     hidden_act
              lowerCAmelCase__	       =     hidden_dropout_prob
              lowerCAmelCase__	       =     attention_probs_dropout_prob
              lowerCAmelCase__	       =     max_position_embeddings
              lowerCAmelCase__	       =     type_vocab_size
              lowerCAmelCase__	       =     type_sequence_label_size
              lowerCAmelCase__	       =     initializer_range
              lowerCAmelCase__	       =     num_choices

              lowerCAmelCase__	       =     rescale_embeddings
              lowerCAmelCase__	       =     attention_type
              lowerCAmelCase__	       =     use_bias
              lowerCAmelCase__	       =     block_size
              lowerCAmelCase__	       =     num_random_blocks







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Dict:
              lowerCAmelCase__	       =     ids_tensor([self.batch_size, self.seq_length] ,   self.vocab_size       )

              lowerCAmelCase__	       =     None
              if self.use_attention_mask:
                     lowerCAmelCase__	       =     random_attention_mask([self.batch_size, self.seq_length]       )

              lowerCAmelCase__	       =     None
              if self.use_token_type_ids:
                     lowerCAmelCase__	       =     ids_tensor([self.batch_size, self.seq_length] ,   self.type_vocab_size       )

              lowerCAmelCase__	       =     BigBirdConfig(
                  vocab_size=self.vocab_size ,   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 ,   max_position_embeddings=self.max_position_embeddings ,   type_vocab_size=self.type_vocab_size ,   is_decoder=lowerCamelCase_ ,   initializer_range=self.initializer_range ,   attention_type=self.attention_type ,   block_size=self.block_size ,   num_random_blocks=self.num_random_blocks ,   use_bias=self.use_bias ,   rescale_embeddings=self.rescale_embeddings ,   )

              return config, input_ids, token_type_ids, attention_mask







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Any:
              lowerCAmelCase__	       =     self.prepare_config_and_inputs()
              lowerCAmelCase__       , lowerCAmelCase__       , lowerCAmelCase__       , lowerCAmelCase__	       =     config_and_inputs
              lowerCAmelCase__	       =     {
                  '''input_ids''': input_ids,
                  '''token_type_ids''': token_type_ids,
                  '''attention_mask''': attention_mask,
              }
              return config, inputs_dict




@require_flax
class 		a__    (							a__    ,    unittest.TestCase  ):





       '''simple docstring'''






       lowercase__      :       Optional[int]     						=				(
           (
               FlaxBigBirdForCausalLM,
               FlaxBigBirdModel,
               FlaxBigBirdForPreTraining,
               FlaxBigBirdForMaskedLM,
               FlaxBigBirdForMultipleChoice,
               FlaxBigBirdForQuestionAnswering,
               FlaxBigBirdForSequenceClassification,
               FlaxBigBirdForTokenClassification,
           )
           if is_flax_available()
           else ()
       )

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







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Any:
              lowerCAmelCase__	       =     FlaxBigBirdModelTester(self       )







       @slow
       # copied from `test_modeling_flax_common` because it takes much longer than other models
       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Optional[Any]:
              super().test_from_pretrained_save_pretrained()







       @slow
       # copied from `test_modeling_flax_common` because it takes much longer than other models
       def   __SCREAMING_SNAKE_CASE							(		self       )	->							List[Any]:
              super().test_from_pretrained_with_no_automatic_init()







       @slow
       # copied from `test_modeling_flax_common` because it takes much longer than other models
       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Dict:
              super().test_no_automatic_init()







       @slow
       # copied from `test_modeling_flax_common` because it takes much longer than other models
       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Dict:
              super().test_hidden_states_output()







       @slow
       def   __SCREAMING_SNAKE_CASE							(		self       )	->							int:
              for model_class_name in self.all_model_classes:
                     lowerCAmelCase__	       =     model_class_name.from_pretrained('''google/bigbird-roberta-base'''       )
                     self.assertIsNotNone(lowerCamelCase_       )







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							List[str]:
              if self.test_attn_probs:
                     super().test_attention_outputs()







       @slow
       # copied from `test_modeling_flax_common` because it takes much longer than other models
       def   __SCREAMING_SNAKE_CASE							(		self       )	->							str:
              lowerCAmelCase__       , lowerCAmelCase__	       =     self.model_tester.prepare_config_and_inputs_for_common()

              for model_class in self.all_model_classes:
                     with self.subTest(model_class.__name__       ):
                            lowerCAmelCase__	       =     self._prepare_for_class(lowerCamelCase_ ,   lowerCamelCase_       )
                            lowerCAmelCase__	       =     model_class(lowerCamelCase_       )

                            @jax.jit
                            def model_jitted(lowerCamelCase_ ,   lowerCamelCase_=None ,   **lowerCamelCase_       ):
                                   return model(input_ids=lowerCamelCase_ ,   attention_mask=lowerCamelCase_ ,   **lowerCamelCase_       )

                            with self.subTest('''JIT Enabled'''       ):
                                   lowerCAmelCase__	       =     model_jitted(**lowerCamelCase_       ).to_tuple()

                            with self.subTest('''JIT Disabled'''       ):
                                   with jax.disable_jit():
                                          lowerCAmelCase__	       =     model_jitted(**lowerCamelCase_       ).to_tuple()

                            self.assertEqual(len(lowerCamelCase_       ) ,   len(lowerCamelCase_       )       )
                            for jitted_output, output in zip(lowerCamelCase_ ,   lowerCamelCase_       ):
                                   self.assertEqual(jitted_output.shape ,   output.shape       )







       def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_=1e-5 ,   lowerCamelCase_="outputs" ,   lowerCamelCase_=None       )	->							str:
              # `bigbird_block_sparse_attention` in `FlaxBigBird` returns `attention_probs = None`, while in PyTorch version,
              # an effort was done to return `attention_probs` (yet to be verified).
              if name.startswith('''outputs.attentions'''       ):
                     return
              else:
                     super().check_pt_flax_outputs(lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_       )



'''simple docstring'''






from collections.abc import Iterable
from typing import Any




class 		a__    :





							'''simple docstring'''






							def __init__(		self ,   lowerCamelCase_ = None       )	->							List[str]:
														lowerCAmelCase__	       =     value
														lowerCAmelCase__	       =     None  # Added in order to delete a node easier
														lowerCAmelCase__	       =     None
														lowerCAmelCase__	       =     None







							def __repr__(		self       )	->							str:
														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__    :





							'''simple docstring'''






							def __init__(		self ,   lowerCamelCase_ = None       )	->							Union[str, Any]:
														lowerCAmelCase__	       =     root







							def __str__(		self       )	->							str:
														return str(self.root       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							None:
														if new_children is not None:  # reset its kids
																					lowerCAmelCase__	       =     node.parent
														if node.parent is not None:  # reset its parent
																					if self.is_right(lowerCamelCase_       ):  # If it is the right children
																												lowerCAmelCase__	       =     new_children
																					else:
																												lowerCAmelCase__	       =     new_children
														else:
																					lowerCAmelCase__	       =     new_children







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							bool:
														if node.parent and node.parent.right:
																					return node == node.parent.right
														return False







							def   __SCREAMING_SNAKE_CASE							(		self       )	->							bool:
														return self.root is None







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     Node(lowerCamelCase_       )  # create a new Node
														if self.empty():  # if Tree is empty
																					lowerCAmelCase__	       =     new_node  # set its root
														else:  # Tree is not empty
																					lowerCAmelCase__	       =     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:
																																										lowerCAmelCase__	       =     new_node  # We insert the new node in a leaf
																																										break
																																			else:
																																										lowerCAmelCase__	       =     parent_node.left
																												else:
																																			if parent_node.right is None:
																																										lowerCAmelCase__	       =     new_node
																																										break
																																			else:
																																										lowerCAmelCase__	       =     parent_node.right
																					lowerCAmelCase__	       =     parent_node







							def   __SCREAMING_SNAKE_CASE							(		self ,   *lowerCamelCase_       )	->							None:
														for value in values:
																					self.__insert(lowerCamelCase_       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							Node | None:
														if self.empty():
																					raise IndexError('''Warning: Tree is empty! please use another.'''       )
														else:
																					lowerCAmelCase__	       =     self.root
																					# use lazy evaluation here to avoid NoneType Attribute error
																					while node is not None and node.value is not value:
																												lowerCAmelCase__	       =     node.left if value < node.value else node.right
																					return node







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ = None       )	->							Node | None:
														if node is None:
																					if self.root is None:
																												return None
																					lowerCAmelCase__	       =     self.root

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







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ = None       )	->							Node | None:
														if node is None:
																					lowerCAmelCase__	       =     self.root
														if self.root is None:
																					return None
														if not self.empty():
																					lowerCAmelCase__	       =     self.root
																					while node.left is not None:
																												lowerCAmelCase__	       =     node.left
														return node







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     self.search(lowerCamelCase_       )  # 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(lowerCamelCase_ ,   lowerCamelCase_       )
																					elif node.left is None:  # Has only right children
																												self.__reassign_nodes(lowerCamelCase_ ,   node.right       )
																					elif node.right is None:  # Has only left children
																												self.__reassign_nodes(lowerCamelCase_ ,   node.left       )
																					else:
																												lowerCAmelCase__	       =     self.get_max(
																												    node.left       )  # Gets the max value of the left branch
																												self.remove(tmp_node.value       )  # type: ignore
																												lowerCAmelCase__	       =     (
																												    tmp_node.value  # type: ignore
																												)  # Assigns the value to the node to delete and keep tree structure







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							Iterable:
														if node is not None:
																					yield node  # Preorder Traversal
																					yield from self.preorder_traverse(node.left       )
																					yield from self.preorder_traverse(node.right       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_=None       )	->							Any:
														if traversal_function is None:
																					return self.preorder_traverse(self.root       )
														else:
																					return traversal_function(self.root       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							None:
														if node:
																					self.inorder(lowerCamelCase_ ,   node.left       )
																					arr.append(node.value       )
																					self.inorder(lowerCamelCase_ ,   node.right       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							int:
														lowerCAmelCase__	       =     []
														self.inorder(lowerCamelCase_ ,   lowerCamelCase_       )  # append all values to list using inorder traversal
														return arr[k - 1]


def  _snake_case       (					A	)						->   list[Node]:
							lowerCAmelCase__	       =     []
							if curr_node is not None:
														lowerCAmelCase__	       =     postorder(curr_node.left	) + postorder(curr_node.right	) + [curr_node]
							return node_list


def  _snake_case       (					)						->   None:
							lowerCAmelCase__	       =     (8, 3, 6, 1, 10, 14, 13, 4, 7)
							lowerCAmelCase__	       =     BinarySearchTree()
							for i in testlist:
														t.insert(A	)

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

							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(A	)
														print(A	)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)