'''simple docstring'''

import random
import unittest

import torch

from diffusers import IFInpaintingSuperResolutionPipeline
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_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin



@skip_mps
class 			UpperCAmelCase  (						a__    ,						a__    ,						unittest.TestCase					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    IFInpaintingSuperResolutionPipeline
       SCREAMING_SNAKE_CASE							=    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {"width", "height"}
       SCREAMING_SNAKE_CASE							=    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS.union({"original_image"}					)
       SCREAMING_SNAKE_CASE							=    PipelineTesterMixin.required_optional_params - {"latents"}

       def _lowerCAmelCase(						self )  ->  List[Any]:
        return self._get_superresolution_dummy_components()

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase=0 )  ->  str:
        if str(__lowerCAmelCase ).startswith('''mps''' ):
         lowercase__				:    str  =					torch.manual_seed(__lowerCAmelCase )
        else:
         lowercase__				:    Union[str, Any]  =					torch.Generator(device=__lowerCAmelCase ).manual_seed(__lowerCAmelCase )

        lowercase__				:    int  =					floats_tensor((1, 3, 16, 16)	,   rng=random.Random(__lowerCAmelCase ) ).to(__lowerCAmelCase )
        lowercase__				:    int  =					floats_tensor((1, 3, 32, 32)	,   rng=random.Random(__lowerCAmelCase ) ).to(__lowerCAmelCase )
        lowercase__				:    Union[str, Any]  =					floats_tensor((1, 3, 32, 32)	,   rng=random.Random(__lowerCAmelCase ) ).to(__lowerCAmelCase )

        lowercase__				:    Tuple  =					{
            '''prompt''': '''A painting of a squirrel eating a burger''',
            '''image''': image,
            '''original_image''': original_image,
            '''mask_image''': mask_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 _lowerCAmelCase(						self )  ->  Union[str, Any]:
        self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3 )

       def _lowerCAmelCase(						self )  ->  Any:
        self._test_save_load_optional_components()

       @unittest.skipIf(torch_device != '''cuda'''	,   reason='''float16 requires CUDA''' )
       def _lowerCAmelCase(						self )  ->  List[Any]:
        # Due to non-determinism in save load of the hf-internal-testing/tiny-random-t5 text encoder
        super().test_save_load_floataa(expected_max_diff=1E-1 )

       def _lowerCAmelCase(						self )  ->  Tuple:
        self._test_attention_slicing_forward_pass(expected_max_diff=1E-2 )

       def _lowerCAmelCase(						self )  ->  int:
        self._test_save_load_local()


       def _lowerCAmelCase(						self )  ->  int:
        self._test_inference_batch_single_identical(
            expected_max_diff=1E-2	,   )


'''simple docstring'''

from __future__ import annotations

from random import random



class 			UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self	,   __lowerCAmelCase = None )  ->  str:
        lowercase__				:    Any  =					value
        lowercase__				:    Union[str, Any]  =					random()
        lowercase__				:    Node | None  =					None
        lowercase__				:    Node | None  =					None

       def __repr__(						self )  ->  str:
        from pprint import pformat

        if self.left is None and self.right is None:
         return F"""'{self.value}: {self.prior:.5}'"""
        else:
         return pformat(
             {F"""{self.value}: {self.prior:.5}""": (self.left, self.right)}	,   indent=1 )


       def __str__(						self )  ->  str:
        lowercase__				:    Any  =					str(self.value ) + ''' '''
        lowercase__				:    str  =					str(self.left or '''''' )
        lowercase__				:    List[str]  =					str(self.right or '''''' )
        return value + left + right


def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase     ):
 if root is None:  # None tree is split into 2 Nones
  return None, None
 elif root.value is None:
  return None, None
 else:
  if value < root.value:
   lowercase__ ,							lowercase__				:    int  =					split(root.left		,     UpperCAmelCase     )
   return left, root
  else:
   lowercase__ ,							lowercase__				:    Optional[Any]  =					split(root.right		,     UpperCAmelCase     )
   return root, right
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase     ):
 if (not left) or (not right):  # If one node is None, return the other
  return left or right
 elif left.prior < right.prior:
  lowercase__				:    Any  =					merge(left.right		,     UpperCAmelCase     )
  return left
 else:
  lowercase__				:    Dict  =					merge(UpperCAmelCase		,     right.left     )
  return right
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase     ):
 lowercase__				:    Dict  =					Node(UpperCAmelCase     )
 lowercase__ ,							lowercase__				:    Tuple  =					split(UpperCAmelCase		,     UpperCAmelCase     )
 return merge(merge(UpperCAmelCase		,     UpperCAmelCase     )		,     UpperCAmelCase     )
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase     ):
 lowercase__ ,							lowercase__				:    Dict  =					split(UpperCAmelCase		,     value - 1     )
 lowercase__ ,							lowercase__				:    int  =					split(UpperCAmelCase		,     UpperCAmelCase     )
 return merge(UpperCAmelCase		,     UpperCAmelCase     )
def 			__UpperCamelCase       (   UpperCAmelCase     ):
 if not root:  # None
  return
 else:
  inorder(root.left     )
  print(root.value		,     end=''','''     )
  inorder(root.right     )
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase     ):
 for arg in args.split():
  if arg[0] == "+":
   lowercase__				:    Tuple  =					insert(UpperCAmelCase		,     int(arg[1:]     )     )

  elif arg[0] == "-":
   lowercase__				:    Union[str, Any]  =					erase(UpperCAmelCase		,     int(arg[1:]     )     )

  else:
   print('''Unknown command'''     )

 return root
def 			__UpperCamelCase       (   ):
 lowercase__				:    Tuple  =					None
 print(
     '''enter numbers to create a tree, + value to add value into treap, '''
     '''- value to erase all nodes with value. \'q\' to quit. '''     )

 lowercase__				:    Dict  =					input()
 while args != "q":
  lowercase__				:    Any  =					interact_treap(UpperCAmelCase		,     UpperCAmelCase     )
  print(UpperCAmelCase     )
  lowercase__				:    List[Any]  =					input()

 print('''good by!'''     )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()

