



"""simple docstring"""
import unittest

from transformers import (
    MODEL_FOR_OBJECT_DETECTION_MAPPING,
    AutoFeatureExtractor,
    AutoModelForObjectDetection,
    ObjectDetectionPipeline,
    is_vision_available,
    pipeline,
)
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_pytesseract,
    require_tf,
    require_timm,
    require_torch,
    require_vision,
    slow,
)

from .test_pipelines_common import ANY


if is_vision_available():
   from PIL import Image
else:
   class 					a	:



     @staticmethod
     def 	lowerCamelCase__       (						*lowerCAmelCase :					List[Any]       ,		**lowerCAmelCase :					Any		)     ->					Union[str, Any]:


        '''simple docstring'''




        pass
@is_pipeline_test
@require_vision
@require_timm
@require_torch
class 					a	(  unittest.TestCase       ):
  UpperCamelCase	:				int     						=					MODEL_FOR_OBJECT_DETECTION_MAPPING



  def 	lowerCamelCase__       (						self :					Optional[Any]       ,		lowerCAmelCase :					Any       ,		lowerCAmelCase :					Tuple       ,		lowerCAmelCase :					List[str]		)     ->					List[Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: int     			=ObjectDetectionPipeline(model=lowerCAmelCase       ,		image_processor=lowerCAmelCase		)
     return object_detector, ["./tests/fixtures/tests_samples/COCO/000000039769.png"]



  def 	lowerCamelCase__       (						self :					List[str]       ,		lowerCAmelCase :					Tuple       ,		lowerCAmelCase :					Optional[Any]		)     ->					Any:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: int     			=object_detector("""./tests/fixtures/tests_samples/COCO/000000039769.png"""       ,		threshold=0.0		)

     self.assertGreater(len(lowerCAmelCase		)       ,		0		)
     for detected_object in outputs:
        self.assertEqual(
            lowerCAmelCase       ,		{
                """score""": ANY(lowerCAmelCase		),
                """label""": ANY(lowerCAmelCase		),
                """box""": {"""xmin""": ANY(lowerCAmelCase		), """ymin""": ANY(lowerCAmelCase		), """xmax""": ANY(lowerCAmelCase		), """ymax""": ANY(lowerCAmelCase		)},
            }       ,		)

     import datasets

     SCREAMING_SNAKE_CASE_: Any     			=datasets.load_dataset("""hf-internal-testing/fixtures_image_utils"""       ,		"""image"""       ,		split="""test"""		)

     SCREAMING_SNAKE_CASE_: str     			=[
         Image.open("""./tests/fixtures/tests_samples/COCO/000000039769.png"""		),
         """http://images.cocodataset.org/val2017/000000039769.jpg""",
         # RGBA
         dataset[0]["""file"""],
         # LA
         dataset[1]["""file"""],
         # L
         dataset[2]["""file"""],
     ]
     SCREAMING_SNAKE_CASE_: Any     			=object_detector(lowerCAmelCase       ,		threshold=0.0		)

     self.assertEqual(len(lowerCAmelCase		)       ,		len(lowerCAmelCase		)		)
     for outputs in batch_outputs:
        self.assertGreater(len(lowerCAmelCase		)       ,		0		)
        for detected_object in outputs:
           self.assertEqual(
               lowerCAmelCase       ,		{
                   """score""": ANY(lowerCAmelCase		),
                   """label""": ANY(lowerCAmelCase		),
                   """box""": {"""xmin""": ANY(lowerCAmelCase		), """ymin""": ANY(lowerCAmelCase		), """xmax""": ANY(lowerCAmelCase		), """ymax""": ANY(lowerCAmelCase		)},
               }       ,		)



  @require_tf
  @unittest.skip("""Object detection not implemented in TF"""		)
  def 	lowerCamelCase__       (						self :					Optional[int]		)     ->					Optional[Any]:


     '''simple docstring'''




     pass



  @require_torch
  def 	lowerCamelCase__       (						self :					Union[str, Any]		)     ->					Optional[Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Tuple     			="""hf-internal-testing/tiny-detr-mobilenetsv3"""

     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=AutoModelForObjectDetection.from_pretrained(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: Any     			=AutoFeatureExtractor.from_pretrained(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: int     			=ObjectDetectionPipeline(model=lowerCAmelCase       ,		feature_extractor=lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: int     			=object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""       ,		threshold=0.0		)

     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.3_3_7_6, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
             {"""score""": 0.3_3_7_6, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
         ]       ,		)

     SCREAMING_SNAKE_CASE_: str     			=object_detector(
         [
             """http://images.cocodataset.org/val2017/000000039769.jpg""",
             """http://images.cocodataset.org/val2017/000000039769.jpg""",
         ]       ,		threshold=0.0       ,		)

     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             [
                 {"""score""": 0.3_3_7_6, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
                 {"""score""": 0.3_3_7_6, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
             ],
             [
                 {"""score""": 0.3_3_7_6, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
                 {"""score""": 0.3_3_7_6, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
             ],
         ]       ,		)



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Union[str, Any]     			="""facebook/detr-resnet-50"""

     SCREAMING_SNAKE_CASE_: Dict     			=AutoModelForObjectDetection.from_pretrained(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: Any     			=AutoFeatureExtractor.from_pretrained(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: Tuple     			=ObjectDetectionPipeline(model=lowerCAmelCase       ,		feature_extractor=lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: Optional[Any]     			=object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.9_9_8_2, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
             {"""score""": 0.9_9_6_0, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
             {"""score""": 0.9_9_5_5, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
             {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
             {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
         ]       ,		)

     SCREAMING_SNAKE_CASE_: str     			=object_detector(
         [
             """http://images.cocodataset.org/val2017/000000039769.jpg""",
             """http://images.cocodataset.org/val2017/000000039769.jpg""",
         ]		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             [
                 {"""score""": 0.9_9_8_2, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                 {"""score""": 0.9_9_6_0, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                 {"""score""": 0.9_9_5_5, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                 {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                 {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
             ],
             [
                 {"""score""": 0.9_9_8_2, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                 {"""score""": 0.9_9_6_0, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                 {"""score""": 0.9_9_5_5, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                 {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                 {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
             ],
         ]       ,		)



  @require_torch
  @slow
  def 	lowerCamelCase__       (						self :					int		)     ->					Any:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Any     			="""facebook/detr-resnet-50"""

     SCREAMING_SNAKE_CASE_: int     			=pipeline("""object-detection"""       ,		model=lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: Optional[int]     			=object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.9_9_8_2, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
             {"""score""": 0.9_9_6_0, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
             {"""score""": 0.9_9_5_5, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
             {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
             {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
         ]       ,		)

     SCREAMING_SNAKE_CASE_: Any     			=object_detector(
         [
             """http://images.cocodataset.org/val2017/000000039769.jpg""",
             """http://images.cocodataset.org/val2017/000000039769.jpg""",
         ]		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             [
                 {"""score""": 0.9_9_8_2, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                 {"""score""": 0.9_9_6_0, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                 {"""score""": 0.9_9_5_5, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                 {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                 {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
             ],
             [
                 {"""score""": 0.9_9_8_2, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                 {"""score""": 0.9_9_6_0, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                 {"""score""": 0.9_9_5_5, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                 {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                 {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
             ],
         ]       ,		)



  @require_torch
  @slow
  def 	lowerCamelCase__       (						self :					int		)     ->					List[Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: List[Any]     			=0.9_9_8_5
     SCREAMING_SNAKE_CASE_: Tuple     			="""facebook/detr-resnet-50"""

     SCREAMING_SNAKE_CASE_: str     			=pipeline("""object-detection"""       ,		model=lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: Optional[int]     			=object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""       ,		threshold=lowerCAmelCase		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.9_9_8_8, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
             {"""score""": 0.9_9_8_7, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
         ]       ,		)





  @require_torch
  @require_pytesseract
  @slow
  def 	lowerCamelCase__       (						self :					Dict		)     ->					List[str]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Union[str, Any]     			="""Narsil/layoutlmv3-finetuned-funsd"""
     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=0.9_9_9_3

     SCREAMING_SNAKE_CASE_: Any     			=pipeline("""object-detection"""       ,		model=lowerCAmelCase       ,		threshold=lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: Optional[int]     			=object_detector(
         """https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"""		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.9_9_9_3, """label""": """I-ANSWER""", """box""": {"""xmin""": 294, """ymin""": 254, """xmax""": 343, """ymax""": 264}},
             {"""score""": 0.9_9_9_3, """label""": """I-ANSWER""", """box""": {"""xmin""": 294, """ymin""": 254, """xmax""": 343, """ymax""": 264}},
         ]       ,		)








"""simple docstring"""
from __future__ import annotations

import math
import random
from typing import Any
class 					a	:



  def __init__(						self :					str		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: list[Any]     			=[]
     SCREAMING_SNAKE_CASE_: int     			=0
     SCREAMING_SNAKE_CASE_: int     			=0



  def 	lowerCamelCase__       (						self :					Optional[Any]		)     ->					bool:


     '''simple docstring'''




     return self.head == self.tail



  def 	lowerCamelCase__       (						self :					Tuple       ,		lowerCAmelCase :					Any		)     ->					None:


     '''simple docstring'''




     self.data.append(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: List[str]     			=self.tail + 1



  def 	lowerCamelCase__       (						self :					int		)     ->					Any:


     '''simple docstring'''




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



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


     '''simple docstring'''




     return self.tail - self.head





  def 	lowerCamelCase__       (						self :					str		)     ->					None:


     '''simple docstring'''




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







class 					a	:



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Dict     			=data
     SCREAMING_SNAKE_CASE_: MyNode | None     			=None
     SCREAMING_SNAKE_CASE_: MyNode | None     			=None
     SCREAMING_SNAKE_CASE_: int     			=1



  def 	lowerCamelCase__       (						self :					Optional[Any]		)     ->					Any:


     '''simple docstring'''




     return self.data



  def 	lowerCamelCase__       (						self :					List[Any]		)     ->					MyNode | None:


     '''simple docstring'''




     return self.left



  def 	lowerCamelCase__       (						self :					Dict		)     ->					MyNode | None:


     '''simple docstring'''




     return self.right



  def 	lowerCamelCase__       (						self :					Any		)     ->					int:


     '''simple docstring'''




     return self.height



  def 	lowerCamelCase__       (						self :					Any       ,		lowerCAmelCase :					Any		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[Any]     			=data



  def 	lowerCamelCase__       (						self :					Dict       ,		lowerCAmelCase :					MyNode | None		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Tuple     			=node



  def 	lowerCamelCase__       (						self :					List[Any]       ,		lowerCAmelCase :					MyNode | None		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: str     			=node





  def 	lowerCamelCase__       (						self :					int       ,		lowerCAmelCase :					int		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Any     			=height







def      __magic_name__				(							lowercase ):
   if node is None:
      return 0
   return node.get_height()





def      __magic_name__				(							lowercase							,			lowercase ):
   if a > b:
      return a
   return b





def      __magic_name__				(							lowercase ):
   print("""left rotation node:"""							,			node.get_data() )
   SCREAMING_SNAKE_CASE_: List[Any]     			=node.get_left()
   assert ret is not None
   node.set_left(ret.get_right() )
   ret.set_right(lowercase )
   SCREAMING_SNAKE_CASE_: Tuple     			=my_max(get_height(node.get_right() )							,			get_height(node.get_left() ) ) + 1
   node.set_height(lowercase )
   SCREAMING_SNAKE_CASE_: int     			=my_max(get_height(ret.get_right() )							,			get_height(ret.get_left() ) ) + 1
   ret.set_height(lowercase )
   return ret





def      __magic_name__				(							lowercase ):
   print("""right rotation node:"""							,			node.get_data() )
   SCREAMING_SNAKE_CASE_: List[Any]     			=node.get_right()
   assert ret is not None
   node.set_right(ret.get_left() )
   ret.set_left(lowercase )
   SCREAMING_SNAKE_CASE_: List[Any]     			=my_max(get_height(node.get_right() )							,			get_height(node.get_left() ) ) + 1
   node.set_height(lowercase )
   SCREAMING_SNAKE_CASE_: Optional[int]     			=my_max(get_height(ret.get_right() )							,			get_height(ret.get_left() ) ) + 1
   ret.set_height(lowercase )
   return ret





def      __magic_name__				(							lowercase ):
   SCREAMING_SNAKE_CASE_: Any     			=node.get_left()
   assert left_child is not None
   node.set_left(left_rotation(lowercase ) )
   return right_rotation(lowercase )





def      __magic_name__				(							lowercase ):
   SCREAMING_SNAKE_CASE_: Dict     			=node.get_right()
   assert right_child is not None
   node.set_right(right_rotation(lowercase ) )
   return left_rotation(lowercase )





def      __magic_name__				(							lowercase							,			lowercase ):
   if node is None:
      return MyNode(lowercase )
   if data < node.get_data():
      node.set_left(insert_node(node.get_left()							,			lowercase ) )
      if (
          get_height(node.get_left() ) - get_height(node.get_right() ) == 2
      ):  # an unbalance detected
         SCREAMING_SNAKE_CASE_: Union[str, Any]     			=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_: Any     			=right_rotation(lowercase )
         else:
            SCREAMING_SNAKE_CASE_: List[Any]     			=lr_rotation(lowercase )
   else:
      node.set_right(insert_node(node.get_right()							,			lowercase ) )
      if get_height(node.get_right() ) - get_height(node.get_left() ) == 2:
         SCREAMING_SNAKE_CASE_: Tuple     			=node.get_right()
         assert right_child is not None
         if data < right_child.get_data():
            SCREAMING_SNAKE_CASE_: Optional[Any]     			=rl_rotation(lowercase )
         else:
            SCREAMING_SNAKE_CASE_: Optional[int]     			=left_rotation(lowercase )
   SCREAMING_SNAKE_CASE_: Tuple     			=my_max(get_height(node.get_right() )							,			get_height(node.get_left() ) ) + 1
   node.set_height(lowercase )
   return node





def      __magic_name__				(							lowercase ):
   while True:
      SCREAMING_SNAKE_CASE_: Dict     			=root.get_right()
      if right_child is None:
         break
      SCREAMING_SNAKE_CASE_: str     			=right_child
   return root.get_data()





def      __magic_name__				(							lowercase ):
   while True:
      SCREAMING_SNAKE_CASE_: str     			=root.get_left()
      if left_child is None:
         break
      SCREAMING_SNAKE_CASE_: Dict     			=left_child
   return root.get_data()





def      __magic_name__				(							lowercase							,			lowercase ):
   SCREAMING_SNAKE_CASE_: str     			=root.get_left()
   SCREAMING_SNAKE_CASE_: List[Any]     			=root.get_right()
   if root.get_data() == data:
      if left_child is not None and right_child is not None:
         SCREAMING_SNAKE_CASE_: Union[str, Any]     			=get_left_most(lowercase )
         root.set_data(lowercase )
         root.set_right(del_node(lowercase							,			lowercase ) )
      elif left_child is not None:
         SCREAMING_SNAKE_CASE_: Optional[int]     			=left_child
      elif right_child is not None:
         SCREAMING_SNAKE_CASE_: 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(lowercase							,			lowercase ) )
   else:  # root.get_data() < data
      if right_child is None:
         return root
      else:
         root.set_right(del_node(lowercase							,			lowercase ) )

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



  def __init__(						self :					int		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: MyNode | None     			=None



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


     '''simple docstring'''




     return get_height(self.root		)



  def 	lowerCamelCase__       (						self :					Optional[int]       ,		lowerCAmelCase :					Any		)     ->					None:


     '''simple docstring'''




     print("""insert:""" + str(lowerCAmelCase		)		)
     SCREAMING_SNAKE_CASE_: Tuple     			=insert_node(self.root       ,		lowerCAmelCase		)



  def 	lowerCamelCase__       (						self :					List[Any]       ,		lowerCAmelCase :					Any		)     ->					None:


     '''simple docstring'''




     print("""delete:""" + str(lowerCAmelCase		)		)
     if self.root is None:
        print("""Tree is empty!"""		)
        return
     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=del_node(self.root       ,		lowerCAmelCase		)





  def __str__(						self :					List[str]       ,		)     ->					str:  # a level traversale, gives a more intuitive look on the tree


     '''simple docstring'''




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







def      __magic_name__				(							):
   import doctest

   doctest.testmod()


if __name__ == "__main__":
   _test()
   _UpperCAmelCase     =			AVLtree()
   _UpperCAmelCase     =			list(range(1_0))
   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))



