

from __future__ import annotations

import math
import random
from typing import Any
class 			_A		:

  def __init__(					self       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	str     							=  []
        SCREAMING_SNAKE_CASE_					:	int     							=  0
        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  0

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return self.head == self.tail

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        self.data.append(lowercase__       )
        SCREAMING_SNAKE_CASE_					:	Tuple     							=  self.tail + 1

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  self.data[self.head]
        SCREAMING_SNAKE_CASE_					:	Tuple     							=  self.head + 1
        return ret

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return self.tail - self.head



  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        print(self.data       )
        print('**************'       )
        print(self.data[self.head : self.tail]       )

class 			_A		:

  def __init__(					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  data
        SCREAMING_SNAKE_CASE_					:	List[Any]     							=  None
        SCREAMING_SNAKE_CASE_					:	Dict     							=  None
        SCREAMING_SNAKE_CASE_					:	Union[str, Any]     							=  1

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return self.data

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return self.left

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return self.right

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return self.height

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  data

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Tuple     							=  node

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	List[str]     							=  node



  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Any     							=  height

def  A_	(				a	):

      """simple docstring"""



      if node is None:
            return 0
      return node.get_height()

def  A_	(				a       , a	):

      """simple docstring"""



      if a > b:
            return a
      return b

def  A_	(				a	):

      """simple docstring"""



      print('left rotation node:'       , node.get_data()	)
      SCREAMING_SNAKE_CASE_					:	List[str]     							=  node.get_left()
      assert ret is not None
      node.set_left(ret.get_right()	)
      ret.set_right(a	)
      SCREAMING_SNAKE_CASE_					:	str     							=  my_max(get_height(node.get_right()	)       , get_height(node.get_left()	)	) + 1
      node.set_height(a	)
      SCREAMING_SNAKE_CASE_					:	Union[str, Any]     							=  my_max(get_height(ret.get_right()	)       , get_height(ret.get_left()	)	) + 1
      ret.set_height(a	)
      return ret

def  A_	(				a	):

      """simple docstring"""



      print('right rotation node:'       , node.get_data()	)
      SCREAMING_SNAKE_CASE_					:	Tuple     							=  node.get_right()
      assert ret is not None
      node.set_right(ret.get_left()	)
      ret.set_left(a	)
      SCREAMING_SNAKE_CASE_					:	Any     							=  my_max(get_height(node.get_right()	)       , get_height(node.get_left()	)	) + 1
      node.set_height(a	)
      SCREAMING_SNAKE_CASE_					:	Dict     							=  my_max(get_height(ret.get_right()	)       , get_height(ret.get_left()	)	) + 1
      ret.set_height(a	)
      return ret

def  A_	(				a	):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_					:	int     							=  node.get_left()
      assert left_child is not None
      node.set_left(left_rotation(a	)	)
      return right_rotation(a	)

def  A_	(				a	):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_					:	Optional[int]     							=  node.get_right()
      assert right_child is not None
      node.set_right(right_rotation(a	)	)
      return left_rotation(a	)

def  A_	(				a       , a	):

      """simple docstring"""



      if node is None:
            return MyNode(a	)
      if data < node.get_data():
            node.set_left(insert_node(node.get_left()       , a	)	)
            if (
                get_height(node.get_left()	) - get_height(node.get_right()	) == 2
            ):  # an unbalance detected
                  SCREAMING_SNAKE_CASE_					:	Optional[int]     							=  node.get_left()
                  assert left_child is not None
                  if (
                      data < left_child.get_data()
                  ):  # new node is the left child of the left child
                        SCREAMING_SNAKE_CASE_					:	Optional[int]     							=  right_rotation(a	)
                  else:
                        SCREAMING_SNAKE_CASE_					:	List[str]     							=  lr_rotation(a	)
      else:
            node.set_right(insert_node(node.get_right()       , a	)	)
            if get_height(node.get_right()	) - get_height(node.get_left()	) == 2:
                  SCREAMING_SNAKE_CASE_					:	Any     							=  node.get_right()
                  assert right_child is not None
                  if data < right_child.get_data():
                        SCREAMING_SNAKE_CASE_					:	int     							=  rl_rotation(a	)
                  else:
                        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  left_rotation(a	)
      SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  my_max(get_height(node.get_right()	)       , get_height(node.get_left()	)	) + 1
      node.set_height(a	)
      return node

def  A_	(				a	):

      """simple docstring"""



      while True:
            SCREAMING_SNAKE_CASE_					:	Dict     							=  root.get_right()
            if right_child is None:
                  break
            SCREAMING_SNAKE_CASE_					:	Union[str, Any]     							=  right_child
      return root.get_data()

def  A_	(				a	):

      """simple docstring"""



      while True:
            SCREAMING_SNAKE_CASE_					:	Tuple     							=  root.get_left()
            if left_child is None:
                  break
            SCREAMING_SNAKE_CASE_					:	List[Any]     							=  left_child
      return root.get_data()

def  A_	(				a       , a	):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_					:	str     							=  root.get_left()
      SCREAMING_SNAKE_CASE_					:	Dict     							=  root.get_right()
      if root.get_data() == data:
            if left_child is not None and right_child is not None:
                  SCREAMING_SNAKE_CASE_					:	Tuple     							=  get_left_most(a	)
                  root.set_data(a	)
                  root.set_right(del_node(a       , a	)	)
            elif left_child is not None:
                  SCREAMING_SNAKE_CASE_					:	List[str]     							=  left_child
            elif right_child is not None:
                  SCREAMING_SNAKE_CASE_					:	List[Any]     							=  right_child
            else:
                  return None
      elif root.get_data() > data:
            if left_child is None:
                  print('No such data'	)
                  return root
            else:
                  root.set_left(del_node(a       , a	)	)
      else:  # root.get_data() < data
            if right_child is None:
                  return root
            else:
                  root.set_right(del_node(a       , a	)	)

      if get_height(a	) - get_height(a	) == 2:
            assert right_child is not None
            if get_height(right_child.get_right()	) > get_height(right_child.get_left()	):
                  SCREAMING_SNAKE_CASE_					:	str     							=  left_rotation(a	)
            else:
                  SCREAMING_SNAKE_CASE_					:	List[str]     							=  rl_rotation(a	)
      elif get_height(a	) - get_height(a	) == -2:
            assert left_child is not None
            if get_height(left_child.get_left()	) > get_height(left_child.get_right()	):
                  SCREAMING_SNAKE_CASE_					:	List[str]     							=  right_rotation(a	)
            else:
                  SCREAMING_SNAKE_CASE_					:	Any     							=  lr_rotation(a	)
      SCREAMING_SNAKE_CASE_					:	int     							=  my_max(get_height(root.get_right()	)       , get_height(root.get_left()	)	) + 1
      root.set_height(a	)
      return root
class 			_A		:

  def __init__(					self       ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	Dict     							=  None

  def 			UpperCAmelCase     (					self       ):





        """simple docstring"""







        return get_height(self.root       )

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        print('insert:' + str(lowercase__       )       )
        SCREAMING_SNAKE_CASE_					:	int     							=  insert_node(self.root			,       lowercase__       )

  def 			UpperCAmelCase     (					self			,       _SCREAMING_SNAKE_CASE       ):





        """simple docstring"""







        print('delete:' + str(lowercase__       )       )
        if self.root is None:
              print('Tree is empty!'       )
              return
        SCREAMING_SNAKE_CASE_					:	Any     							=  del_node(self.root			,       lowercase__       )



  def __str__(					self			,       ):  # a level traversale, gives a more intuitive look on the tree





        """simple docstring"""







        SCREAMING_SNAKE_CASE_					:	int     							=  ''
        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  MyQueue()
        q.push(self.root       )
        SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  self.get_height()
        if layer == 0:
              return output
        SCREAMING_SNAKE_CASE_					:	Tuple     							=  0
        while not q.is_empty():
              SCREAMING_SNAKE_CASE_					:	List[str]     							=  q.pop()
              SCREAMING_SNAKE_CASE_					:	Optional[Any]     							=  ' ' * int(math.pow(2			,       layer - 1       )       )
              output += space
              if node is None:
                    output += "*"
                    q.push(lowercase__       )
                    q.push(lowercase__       )
              else:
                    output += str(node.get_data()       )
                    q.push(node.get_left()       )
                    q.push(node.get_right()       )
              output += space
              SCREAMING_SNAKE_CASE_					:	str     							=  cnt + 1
              for i in range(100       ):
                    if cnt == math.pow(2			,       lowercase__       ) - 1:
                          SCREAMING_SNAKE_CASE_					:	List[str]     							=  layer - 1
                          if layer == 0:
                                output += "\n*************************************"
                                return output
                          output += "\n"
                          break
        output += "\n*************************************"
        return output

def  A_	(				):

      """simple docstring"""



      import doctest

      doctest.testmod()


if __name__ == "__main__":
    _test()
    lowerCAmelCase  : Optional[int]      =	AVLtree()
    lowerCAmelCase  : Any      =	list(range(10))
    random.shuffle(lst)
    for i in lst:
        t.insert(i)
        print(str(t))
    random.shuffle(lst)
    for i in lst:
        t.del_node(i)
        print(str(t))







from __future__ import annotations

import unittest

import numpy as np

from transformers import BlipTextConfig
from transformers.testing_utils import require_tf, slow
from transformers.utils import is_tf_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask


if is_tf_available():
				import tensorflow as tf

				from transformers import TFBlipTextModel
				from transformers.models.blip.modeling_tf_blip import TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST



class        lowerCamelCase__				:





			def __init__(       self	:	Optional[Any]  ,  lowercase__	:	int  ,  lowercase__	:	List[str]=12  ,  lowercase__	:	Optional[int]=7  ,  lowercase__	:	List[Any]=True  ,  lowercase__	:	str=True  ,  lowercase__	:	Optional[Any]=True  ,  lowercase__	:	List[str]=99  ,  lowercase__	:	Optional[int]=32  ,  lowercase__	:	Tuple=32  ,  lowercase__	:	Dict=2  ,  lowercase__	:	Optional[int]=4  ,  lowercase__	:	str=37  ,  lowercase__	:	Optional[Any]=0.1  ,  lowercase__	:	List[str]=0.1  ,  lowercase__	:	Union[str, Any]=5_12  ,  lowercase__	:	List[str]=0.0_2  ,  lowercase__	:	Tuple=0  ,  lowercase__	:	List[Any]=None  ,  ):
										_lowerCAmelCase							=							parent
										_lowerCAmelCase							=							batch_size
										_lowerCAmelCase							=							seq_length
										_lowerCAmelCase							=							is_training
										_lowerCAmelCase							=							use_input_mask
										_lowerCAmelCase							=							use_labels
										_lowerCAmelCase							=							vocab_size
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							projection_dim
										_lowerCAmelCase							=							num_hidden_layers
										_lowerCAmelCase							=							num_attention_heads
										_lowerCAmelCase							=							intermediate_size
										_lowerCAmelCase							=							dropout
										_lowerCAmelCase							=							attention_dropout
										_lowerCAmelCase							=							max_position_embeddings
										_lowerCAmelCase							=							initializer_range
										_lowerCAmelCase							=							scope
										_lowerCAmelCase							=							bos_token_id





			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										_lowerCAmelCase							=							ids_tensor([self.batch_size, self.seq_length]  ,  self.vocab_size						)

										_lowerCAmelCase							=							None
										if self.use_input_mask:
																	_lowerCAmelCase							=							random_attention_mask([self.batch_size, self.seq_length]						)

										if input_mask is not None:
																	_lowerCAmelCase							=							input_mask.numpy()
																	_lowerCAmelCase			,		_lowerCAmelCase							=							input_mask.shape
																	_lowerCAmelCase							=							np.random.randint(1  ,  seq_length - 1  ,  size=(batch_size,)						)
																	for batch_idx, start_index in enumerate(lowercase__						):
																								_lowerCAmelCase							=							1
																								_lowerCAmelCase							=							0

										_lowerCAmelCase							=							self.get_config()

										return config, input_ids, tf.convert_to_tensor(lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]						):
										return BlipTextConfig(
										    vocab_size=self.vocab_size  ,  hidden_size=self.hidden_size  ,  projection_dim=self.projection_dim  ,  num_hidden_layers=self.num_hidden_layers  ,  num_attention_heads=self.num_attention_heads  ,  intermediate_size=self.intermediate_size  ,  dropout=self.dropout  ,  attention_dropout=self.attention_dropout  ,  max_position_embeddings=self.max_position_embeddings  ,  initializer_range=self.initializer_range  ,  bos_token_id=self.bos_token_id  ,  )





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple  ,  lowercase__	:	int  ,  lowercase__	:	List[Any]  ,  lowercase__	:	Union[str, Any]						):
										_lowerCAmelCase							=							TFBlipTextModel(config=lowercase__						)
										_lowerCAmelCase							=							model(lowercase__  ,  attention_mask=lowercase__  ,  training=lowercase__						)
										_lowerCAmelCase							=							model(lowercase__  ,  training=lowercase__						)
										self.parent.assertEqual(result.last_hidden_state.shape  ,  (self.batch_size, self.seq_length, self.hidden_size)						)
										self.parent.assertEqual(result.pooler_output.shape  ,  (self.batch_size, self.hidden_size)						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										_lowerCAmelCase							=							self.prepare_config_and_inputs()
										_lowerCAmelCase			,		_lowerCAmelCase			,		_lowerCAmelCase							=							config_and_inputs
										_lowerCAmelCase							=							{'input_ids': input_ids, 'attention_mask': input_mask}
										return config, inputs_dict







@require_tf
class        lowerCamelCase__				(   UpperCAmelCase       ,unittest.TestCase				):
			UpperCamelCase__    							=(TFBlipTextModel,) if is_tf_available() else ()
			UpperCamelCase__    							=False
			UpperCamelCase__    							=False
			UpperCamelCase__    							=False





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										_lowerCAmelCase							=							BlipTextModelTester(self						)
										_lowerCAmelCase							=							ConfigTester(self  ,  config_class=lowercase__  ,  hidden_size=37						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]						):
										self.config_tester.run_common_tests()





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple						):
										_lowerCAmelCase							=							self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_model(*lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										pass





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										pass





			@unittest.skip(reason='Blip does not use inputs_embeds'						)
			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										pass





			@unittest.skip(reason='BlipTextModel has no base class and is not available in MODEL_MAPPING'						)
			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										pass





			@unittest.skip(reason='BlipTextModel has no base class and is not available in MODEL_MAPPING'						)
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]						):
										pass





			@slow
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]						):
										for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
																	_lowerCAmelCase							=							TFBlipTextModel.from_pretrained(lowercase__						)
																	self.assertIsNotNone(lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Any  ,  lowercase__	:	Any=True						):
										super().test_pt_tf_model_equivalence(allow_missing_keys=lowercase__						)






