




from __future__ import annotations

import math
import random
from typing import Any





class 					__lowerCamelCase			:




    """simple docstring"""

    def __init__(			self	:	Dict  ) ->			None:
         lowerCAmelCase__            =					[]
         lowerCAmelCase__            =					0
         lowerCAmelCase__            =					0


    def   a (			self	:	List[str]  ) ->			bool:
         return self.head == self.tail


    def   a (			self	:	Union[str, Any]  ,      SCREAMING_SNAKE_CASE__	:	Any  ) ->			None:
         self.data.append(SCREAMING_SNAKE_CASE__  )
         lowerCAmelCase__            =					self.tail + 1


    def   a (			self	:	str  ) ->			Any:
         lowerCAmelCase__            =					self.data[self.head]
         lowerCAmelCase__            =					self.head + 1
         return ret


    def   a (			self	:	Optional[int]  ) ->			int:
         return self.tail - self.head


    def   a (			self	:	Any  ) ->			None:
         print(self.data  )
         print("**************"  )
         print(self.data[self.head : self.tail]  )






class 					__lowerCamelCase			:




    """simple docstring"""

    def __init__(			self	:	Dict  ,      SCREAMING_SNAKE_CASE__	:	Any  ) ->			None:
         lowerCAmelCase__            =					data
         lowerCAmelCase__            =					None
         lowerCAmelCase__            =					None
         lowerCAmelCase__            =					1


    def   a (			self	:	Dict  ) ->			Any:
         return self.data


    def   a (			self	:	Tuple  ) ->			MyNode | None:
         return self.left


    def   a (			self	:	Dict  ) ->			MyNode | None:
         return self.right


    def   a (			self	:	Any  ) ->			int:
         return self.height


    def   a (			self	:	int  ,      SCREAMING_SNAKE_CASE__	:	Any  ) ->			None:
         lowerCAmelCase__            =					data


    def   a (			self	:	int  ,      SCREAMING_SNAKE_CASE__	:	MyNode | None  ) ->			None:
         lowerCAmelCase__            =					node


    def   a (			self	:	Optional[Any]  ,      SCREAMING_SNAKE_CASE__	:	MyNode | None  ) ->			None:
         lowerCAmelCase__            =					node


    def   a (			self	:	int  ,      SCREAMING_SNAKE_CASE__	:	int  ) ->			None:
         lowerCAmelCase__            =					height






def 				_A  (		lowerCAmelCase_	:   MyNode | None     ):
     """simple docstring"""

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



def 				_A  (		lowerCAmelCase_	:   int  ,							lowerCAmelCase_	:   int     ):
     """simple docstring"""

     if a > b:
          return a
     return b



def 				_A  (		lowerCAmelCase_	:   MyNode     ):
     """simple docstring"""

     print("left rotation node:"  ,							node.get_data()     )
     lowerCAmelCase__            =					node.get_left()
     assert ret is not None
     node.set_left(ret.get_right()     )
     ret.set_right(lowerCAmelCase_     )
     lowerCAmelCase__            =					my_max(get_height(node.get_right()     )  ,							get_height(node.get_left()     )     ) + 1
     node.set_height(lowerCAmelCase_     )
     lowerCAmelCase__            =					my_max(get_height(ret.get_right()     )  ,							get_height(ret.get_left()     )     ) + 1
     ret.set_height(lowerCAmelCase_     )
     return ret



def 				_A  (		lowerCAmelCase_	:   MyNode     ):
     """simple docstring"""

     print("right rotation node:"  ,							node.get_data()     )
     lowerCAmelCase__            =					node.get_right()
     assert ret is not None
     node.set_right(ret.get_left()     )
     ret.set_left(lowerCAmelCase_     )
     lowerCAmelCase__            =					my_max(get_height(node.get_right()     )  ,							get_height(node.get_left()     )     ) + 1
     node.set_height(lowerCAmelCase_     )
     lowerCAmelCase__            =					my_max(get_height(ret.get_right()     )  ,							get_height(ret.get_left()     )     ) + 1
     ret.set_height(lowerCAmelCase_     )
     return ret



def 				_A  (		lowerCAmelCase_	:   MyNode     ):
     """simple docstring"""

     lowerCAmelCase__            =					node.get_left()
     assert left_child is not None
     node.set_left(left_rotation(lowerCAmelCase_     )     )
     return right_rotation(lowerCAmelCase_     )



def 				_A  (		lowerCAmelCase_	:   MyNode     ):
     """simple docstring"""

     lowerCAmelCase__            =					node.get_right()
     assert right_child is not None
     node.set_right(right_rotation(lowerCAmelCase_     )     )
     return left_rotation(lowerCAmelCase_     )



def 				_A  (		lowerCAmelCase_	:   MyNode | None  ,							lowerCAmelCase_	:   Any     ):
     """simple docstring"""

     if node is None:
          return MyNode(lowerCAmelCase_     )
     if data < node.get_data():
          node.set_left(insert_node(node.get_left()  ,							lowerCAmelCase_     )     )
          if (
              get_height(node.get_left()     ) - get_height(node.get_right()     ) == 2
          ):  # an unbalance detected
               lowerCAmelCase__            =					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
                    lowerCAmelCase__            =					right_rotation(lowerCAmelCase_     )
               else:
                    lowerCAmelCase__            =					lr_rotation(lowerCAmelCase_     )
     else:
          node.set_right(insert_node(node.get_right()  ,							lowerCAmelCase_     )     )
          if get_height(node.get_right()     ) - get_height(node.get_left()     ) == 2:
               lowerCAmelCase__            =					node.get_right()
               assert right_child is not None
               if data < right_child.get_data():
                    lowerCAmelCase__            =					rl_rotation(lowerCAmelCase_     )
               else:
                    lowerCAmelCase__            =					left_rotation(lowerCAmelCase_     )
     lowerCAmelCase__            =					my_max(get_height(node.get_right()     )  ,							get_height(node.get_left()     )     ) + 1
     node.set_height(lowerCAmelCase_     )
     return node



def 				_A  (		lowerCAmelCase_	:   MyNode     ):
     """simple docstring"""

     while True:
          lowerCAmelCase__            =					root.get_right()
          if right_child is None:
               break
          lowerCAmelCase__            =					right_child
     return root.get_data()



def 				_A  (		lowerCAmelCase_	:   MyNode     ):
     """simple docstring"""

     while True:
          lowerCAmelCase__            =					root.get_left()
          if left_child is None:
               break
          lowerCAmelCase__            =					left_child
     return root.get_data()



def 				_A  (		lowerCAmelCase_	:   MyNode  ,							lowerCAmelCase_	:   Any     ):
     """simple docstring"""

     lowerCAmelCase__            =					root.get_left()
     lowerCAmelCase__            =					root.get_right()
     if root.get_data() == data:
          if left_child is not None and right_child is not None:
               lowerCAmelCase__            =					get_left_most(lowerCAmelCase_     )
               root.set_data(lowerCAmelCase_     )
               root.set_right(del_node(lowerCAmelCase_  ,							lowerCAmelCase_     )     )
          elif left_child is not None:
               lowerCAmelCase__            =					left_child
          elif right_child is not None:
               lowerCAmelCase__            =					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(lowerCAmelCase_  ,							lowerCAmelCase_     )     )
     else:  # root.get_data() < data
          if right_child is None:
               return root
          else:
               root.set_right(del_node(lowerCAmelCase_  ,							lowerCAmelCase_     )     )

     if get_height(lowerCAmelCase_     ) - get_height(lowerCAmelCase_     ) == 2:
          assert right_child is not None
          if get_height(right_child.get_right()     ) > get_height(right_child.get_left()     ):
               lowerCAmelCase__            =					left_rotation(lowerCAmelCase_     )
          else:
               lowerCAmelCase__            =					rl_rotation(lowerCAmelCase_     )
     elif get_height(lowerCAmelCase_     ) - get_height(lowerCAmelCase_     ) == -2:
          assert left_child is not None
          if get_height(left_child.get_left()     ) > get_height(left_child.get_right()     ):
               lowerCAmelCase__            =					right_rotation(lowerCAmelCase_     )
          else:
               lowerCAmelCase__            =					lr_rotation(lowerCAmelCase_     )
     lowerCAmelCase__            =					my_max(get_height(root.get_right()     )  ,							get_height(root.get_left()     )     ) + 1
     root.set_height(lowerCAmelCase_     )
     return root





class 					__lowerCamelCase			:




    """simple docstring"""

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


    def   a (			self	:	Optional[int]  ) ->			int:
         return get_height(self.root  )


    def   a (			self	:	Tuple  ,      SCREAMING_SNAKE_CASE__	:	Any  ) ->			None:
         print("insert:" + str(SCREAMING_SNAKE_CASE__  )  )
         lowerCAmelCase__            =					insert_node(self.root  ,      SCREAMING_SNAKE_CASE__  )


    def   a (			self	:	str  ,      SCREAMING_SNAKE_CASE__	:	Any  ) ->			None:
         print("delete:" + str(SCREAMING_SNAKE_CASE__  )  )
         if self.root is None:
              print("Tree is empty!"  )
              return
         lowerCAmelCase__            =					del_node(self.root  ,      SCREAMING_SNAKE_CASE__  )


    def __str__(			self	:	List[Any]  ,      ) ->			str:  # a level traversale, gives a more intuitive look on the tree
         lowerCAmelCase__            =					""
         lowerCAmelCase__            =					MyQueue()
         q.push(self.root  )
         lowerCAmelCase__            =					self.get_height()
         if layer == 0:
              return output
         lowerCAmelCase__            =					0
         while not q.is_empty():
              lowerCAmelCase__            =					q.pop()
              lowerCAmelCase__            =					" " * int(math.pow(2  ,      layer - 1  )  )
              output += space
              if node is None:
                   output += "*"
                   q.push(SCREAMING_SNAKE_CASE__  )
                   q.push(SCREAMING_SNAKE_CASE__  )
              else:
                   output += str(node.get_data()  )
                   q.push(node.get_left()  )
                   q.push(node.get_right()  )
              output += space
              lowerCAmelCase__            =					cnt + 1
              for i in range(100  ):
                   if cnt == math.pow(2  ,      SCREAMING_SNAKE_CASE__  ) - 1:
                        lowerCAmelCase__            =					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()
     UpperCamelCase								=	AVLtree()
     UpperCamelCase								=	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))







'''simple docstring'''

import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / "utils"))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402







class __a			( unittest.TestCase      ):





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							0





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""openai/clip-vit-base-patch32"""     )
      self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
         json.dump(
             {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
         json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
         self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
         json.dump(
             {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
         json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
         self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							CLIPConfig()

         # Create a dummy config file with image_proceesor_type
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
         json.dump(
             {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
         json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

         # remove image_processor_type to make sure config.json alone is enough to load image processor locally
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     ).to_dict()

         config_dict.pop("""image_processor_type"""     )
         __SCREAMING_SNAKE_CASE   				=							CLIPImageProcessor(**lowerCamelCase     )

         # save in new folder
         model_config.save_pretrained(lowerCamelCase     )
         config.save_pretrained(lowerCamelCase     )

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )

         # make sure private variable is not incorrectly saved
         __SCREAMING_SNAKE_CASE   				=							json.loads(config.to_json_string()     )
         self.assertTrue("""_processor_class""" not in dict_as_saved     )

      self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





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

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         json.dump(
             {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
         self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      with self.assertRaisesRegex(
          lowerCamelCase					,"""clip-base is not a local folder and is not a valid model identifier"""     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""clip-base"""     )





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

      with self.assertRaisesRegex(
          lowerCamelCase					,r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase					,revision="""aaaaaa"""     )





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

      with self.assertRaisesRegex(
          lowerCamelCase					,"""hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json."""					,):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""hf-internal-testing/config-no-model"""     )





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

      with self.assertRaises(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""hf-internal-testing/test_dynamic_image_processor"""     )
      # If remote code is disabled, we can't load this config.
      with self.assertRaises(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
             """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )

      __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
          """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )
      self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )

      # Test image processor can be reloaded.
      with tempfile.TemporaryDirectory() as tmp_dir:
         image_processor.save_pretrained(lowerCamelCase     )
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase					,trust_remote_code=lowerCamelCase     )
      self.assertEqual(reloaded_image_processor.__class__.__name__					,"""NewImageProcessor"""     )





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      try:
         AutoConfig.register("""custom"""					,lowerCamelCase     )
         AutoImageProcessor.register(lowerCamelCase					,lowerCamelCase     )
         # Trying to register something existing in the Transformers library will raise an error
         with self.assertRaises(lowerCamelCase     ):
            AutoImageProcessor.register(lowerCamelCase					,lowerCamelCase     )

         with tempfile.TemporaryDirectory() as tmpdirname:
            __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
            __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
            json.dump(
                {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
            json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

            __SCREAMING_SNAKE_CASE   				=							CustomImageProcessor.from_pretrained(lowerCamelCase     )

         # Now that the config is registered, it can be used as any other config with the auto-API
         with tempfile.TemporaryDirectory() as tmp_dir:
            image_processor.save_pretrained(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
            self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )

      finally:
         if "custom" in CONFIG_MAPPING._extra_content:
            del CONFIG_MAPPING._extra_content["custom"]
         if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
            del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      class __a			( _snake_case      ):
         __UpperCamelCase :			int						   =						True

      try:
         AutoConfig.register("""custom"""					,lowerCamelCase     )
         AutoImageProcessor.register(lowerCamelCase					,lowerCamelCase     )
         # If remote code is not set, the default is to use local
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""hf-internal-testing/test_dynamic_image_processor"""     )
         self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )
         self.assertTrue(image_processor.is_local     )

         # If remote code is disabled, we load the local one.
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
             """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )
         self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )
         self.assertTrue(image_processor.is_local     )

         # If remote is enabled, we load from the Hub
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
             """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )
         self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )
         self.assertTrue(not hasattr(lowerCamelCase					,"""is_local"""     )     )

      finally:
         if "custom" in CONFIG_MAPPING._extra_content:
            del CONFIG_MAPPING._extra_content["custom"]
         if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
            del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]





