
"""simple docstring"""




from __future__ import annotations

import math
import random
from typing import Any







class     lowercase:



     def __init__(							self   )		->     None:







         """simple docstring"""



         a__		=			[]
         a__		=			0
         a__		=			0



     def 			lowercase__  (							self   )		->     bool:







         """simple docstring"""



         return self.head == self.tail



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         self.data.append(__SCREAMING_SNAKE_CASE   )
         a__		=			self.tail + 1



     def 			lowercase__  (							self   )		->     Any:







         """simple docstring"""



         a__		=			self.data[self.head]
         a__		=			self.head + 1
         return ret



     def 			lowercase__  (							self   )		->     int:







         """simple docstring"""



         return self.tail - self.head




     def 			lowercase__  (							self   )		->     None:







         """simple docstring"""



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







class     lowercase:



     def __init__(							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         a__		=			data
         a__		=			None
         a__		=			None
         a__		=			1



     def 			lowercase__  (							self   )		->     Any:







         """simple docstring"""



         return self.data



     def 			lowercase__  (							self   )		->     MyNode | None:







         """simple docstring"""



         return self.left



     def 			lowercase__  (							self   )		->     MyNode | None:







         """simple docstring"""



         return self.right



     def 			lowercase__  (							self   )		->     int:







         """simple docstring"""



         return self.height



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         a__		=			data



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         a__		=			node



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         a__		=			node




     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         a__		=			height




def     __magic_name__		(					UpperCamelCase     :		MyNode | None     )     ->						int:
    if node is None:
        return 0
    return node.get_height()



def     __magic_name__		(					UpperCamelCase     :		int							,		UpperCamelCase     :		int     )     ->						int:
    if a > b:
        return a
    return b



def     __magic_name__		(					UpperCamelCase     :		MyNode     )     ->						MyNode:
    print('left rotation node:'							,		node.get_data()     )
    a__		=			node.get_left()
    assert ret is not None
    node.set_left(ret.get_right()     )
    ret.set_right(UpperCamelCase     )
    a__		=			my_max(get_height(node.get_right()     )							,		get_height(node.get_left()     )     ) + 1
    node.set_height(UpperCamelCase     )
    a__		=			my_max(get_height(ret.get_right()     )							,		get_height(ret.get_left()     )     ) + 1
    ret.set_height(UpperCamelCase     )
    return ret



def     __magic_name__		(					UpperCamelCase     :		MyNode     )     ->						MyNode:
    print('right rotation node:'							,		node.get_data()     )
    a__		=			node.get_right()
    assert ret is not None
    node.set_right(ret.get_left()     )
    ret.set_left(UpperCamelCase     )
    a__		=			my_max(get_height(node.get_right()     )							,		get_height(node.get_left()     )     ) + 1
    node.set_height(UpperCamelCase     )
    a__		=			my_max(get_height(ret.get_right()     )							,		get_height(ret.get_left()     )     ) + 1
    ret.set_height(UpperCamelCase     )
    return ret



def     __magic_name__		(					UpperCamelCase     :		MyNode     )     ->						MyNode:
    a__		=			node.get_left()
    assert left_child is not None
    node.set_left(left_rotation(UpperCamelCase     )     )
    return right_rotation(UpperCamelCase     )



def     __magic_name__		(					UpperCamelCase     :		MyNode     )     ->						MyNode:
    a__		=			node.get_right()
    assert right_child is not None
    node.set_right(right_rotation(UpperCamelCase     )     )
    return left_rotation(UpperCamelCase     )



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



def     __magic_name__		(					UpperCamelCase     :		MyNode     )     ->						Any:
    while True:
        a__		=			root.get_right()
        if right_child is None:
            break
        a__		=			right_child
    return root.get_data()



def     __magic_name__		(					UpperCamelCase     :		MyNode     )     ->						Any:
    while True:
        a__		=			root.get_left()
        if left_child is None:
            break
        a__		=			left_child
    return root.get_data()



def     __magic_name__		(					UpperCamelCase     :		MyNode							,		UpperCamelCase     :		Any     )     ->						MyNode | None:
    a__		=			root.get_left()
    a__		=			root.get_right()
    if root.get_data() == data:
        if left_child is not None and right_child is not None:
            a__		=			get_left_most(UpperCamelCase     )
            root.set_data(UpperCamelCase     )
            root.set_right(del_node(UpperCamelCase							,		UpperCamelCase     )     )
        elif left_child is not None:
            a__		=			left_child
        elif right_child is not None:
            a__		=			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(UpperCamelCase							,		UpperCamelCase     )     )
    else:  # root.get_data() < data
        if right_child is None:
            return root
        else:
            root.set_right(del_node(UpperCamelCase							,		UpperCamelCase     )     )

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







class     lowercase:



     def __init__(							self   )		->     None:







         """simple docstring"""



         a__		=			None



     def 			lowercase__  (							self   )		->     int:







         """simple docstring"""



         return get_height(self.root   )



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



         print('insert:' + str(__SCREAMING_SNAKE_CASE   )   )
         a__		=			insert_node(self.root     ,				__SCREAMING_SNAKE_CASE   )



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     None:







         """simple docstring"""



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




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







         """simple docstring"""



         a__		=			''
         a__		=			MyQueue()
         q.push(self.root   )
         a__		=			self.get_height()
         if layer == 0:
             return output
         a__		=			0
         while not q.is_empty():
             a__		=			q.pop()
             a__		=			' ' * 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
             a__		=			cnt + 1
             for i in range(1_0_0   ):
                 if cnt == math.pow(2     ,				__SCREAMING_SNAKE_CASE   ) - 1:
                     a__		=			layer - 1
                     if layer == 0:
                         output += "\n*************************************"
                         return output
                     output += "\n"
                     break
         output += "\n*************************************"
         return output




def     __magic_name__		(					)     ->						None:
    import doctest

    doctest.testmod()


if __name__ == "__main__":
    _test()
    a		:       Tuple     						=       AVLtree()
    a		:       Optional[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))




"""simple docstring"""




import random
import unittest

import torch

from diffusers import IFImgaImgSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin







@skip_mps
class     lowercase(_lowercase    ,						_lowercase    ,						unittest.TestCase       ):
     __snake_case:	Optional[int]						=     IFImgaImgSuperResolutionPipeline
     __snake_case:	Dict						=     TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {'width', 'height'}
     __snake_case:	Any						=     TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS.union({'original_image'}       )
     __snake_case:	List[Any]						=     PipelineTesterMixin.required_optional_params - {'latents'}



     def 			lowercase__  (							self   )		->     Tuple:







         """simple docstring"""



         return self._get_superresolution_dummy_components()



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE=0   )		->     Union[str, Any]:







         """simple docstring"""



         if str(__SCREAMING_SNAKE_CASE   ).startswith('mps'   ):
             a__		=			torch.manual_seed(__SCREAMING_SNAKE_CASE   )
         else:
             a__		=			torch.Generator(device=__SCREAMING_SNAKE_CASE   ).manual_seed(__SCREAMING_SNAKE_CASE   )

         a__		=			floats_tensor((1, 3, 3_2, 3_2)     ,				rng=random.Random(__SCREAMING_SNAKE_CASE   )   ).to(__SCREAMING_SNAKE_CASE   )
         a__		=			floats_tensor((1, 3, 1_6, 1_6)     ,				rng=random.Random(__SCREAMING_SNAKE_CASE   )   ).to(__SCREAMING_SNAKE_CASE   )

         a__		=			{
             'prompt': 'A painting of a squirrel eating a burger',
             'image': image,
             'original_image': original_image,
             'generator': generator,
             'num_inference_steps': 2,
             'output_type': 'numpy',
         }

         return inputs



     @unittest.skipIf(
         torch_device != 'cuda' or not is_xformers_available()     ,				reason='XFormers attention is only available with CUDA and `xformers` installed'     ,				)
     def 			lowercase__  (							self   )		->     Optional[int]:







         """simple docstring"""



         self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3   )



     def 			lowercase__  (							self   )		->     Any:







         """simple docstring"""



         self._test_save_load_optional_components()



     @unittest.skipIf(torch_device != 'cuda'     ,				reason='float16 requires CUDA'   )
     def 			lowercase__  (							self   )		->     List[Any]:







         """simple docstring"""



         super().test_save_load_floataa(expected_max_diff=1e-1   )



     def 			lowercase__  (							self   )		->     List[str]:







         """simple docstring"""



         self._test_attention_slicing_forward_pass(expected_max_diff=1e-2   )



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







         """simple docstring"""



         self._test_save_load_local()




     def 			lowercase__  (							self   )		->     Any:







         """simple docstring"""



         self._test_inference_batch_single_identical(
             expected_max_diff=1e-2     ,				)


