





import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
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   _lowercase						(							a		,					a		,					unittest.TestCase				):
   _UpperCamelCase       		=   IFInpaintingPipeline
   _UpperCamelCase       		=   TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {"""width""", """height"""}
   _UpperCamelCase       		=   TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
   _UpperCamelCase       		=   PipelineTesterMixin.required_optional_params - {"""latents"""}


   def 					snake_case				( self					):
       return self._get_dummy_components()


   def 					snake_case				( self    ,   _UpperCAmelCase    ,   _UpperCAmelCase=0					):
       if str(_UpperCAmelCase					).startswith('''mps'''					):
           A       :       Any							=						torch.manual_seed(_UpperCAmelCase					)
       else:
           A       :       Optional[Any]							=						torch.Generator(device=_UpperCAmelCase					).manual_seed(_UpperCAmelCase					)

       A       :       Optional[int]							=						floats_tensor((1, 3, 32, 32)    ,   rng=random.Random(_UpperCAmelCase					)					).to(_UpperCAmelCase					)
       A       :       List[str]							=						floats_tensor((1, 3, 32, 32)    ,   rng=random.Random(_UpperCAmelCase					)					).to(_UpperCAmelCase					)

       A       :       str							=						{
           '''prompt''': '''A painting of a squirrel eating a burger''',
           '''image''': 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 					snake_case				( self					):
       self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3					)


   def 					snake_case				( self					):
       self._test_save_load_optional_components()


   @unittest.skipIf(torch_device != '''cuda'''    ,   reason='''float16 requires CUDA'''					)
   def 					snake_case				( self					):
       # 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 					snake_case				( self					):
       self._test_attention_slicing_forward_pass(expected_max_diff=1E-2					)


   def 					snake_case				( self					):
       self._test_save_load_local()


   def 					snake_case				( self					):
       self._test_inference_batch_single_identical(
           expected_max_diff=1E-2    ,   )







'''simple docstring'''






def 							_lowerCamelCase(  UpperCamelCase__    : Optional[int]    ,       UpperCamelCase__    : str		)		->  Optional[int]:
    A       :       Optional[int]							=						0
    A       :       str							=						len(UpperCamelCase__		) - 1

    while left <= right:
        # avoid divided by 0 during interpolation
        if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                return left
            else:
                return None

        A       :       Any							=						left + ((item - sorted_collection[left]) * (right - left)) // (
            sorted_collection[right] - sorted_collection[left]
        )

        # out of range check
        if point < 0 or point >= len(UpperCamelCase__		):
            return None

        A       :       Union[str, Any]							=						sorted_collection[point]
        if current_item == item:
            return point
        else:
            if point < left:
                A       :       Tuple							=						left
                A       :       Tuple							=						point
            elif point > right:
                A       :       Optional[Any]							=						right
                A       :       str							=						point
            else:
                if item < current_item:
                    A       :       Tuple							=						point - 1
                else:
                    A       :       Optional[Any]							=						point + 1
    return None
def 							_lowerCamelCase(  UpperCamelCase__    : Dict    ,       UpperCamelCase__    : str    ,       UpperCamelCase__    : Dict    ,       UpperCamelCase__    : List[str]		)		->  List[Any]:

    # avoid divided by 0 during interpolation
    if sorted_collection[left] == sorted_collection[right]:
        if sorted_collection[left] == item:
            return left
        else:
            return None

    A       :       Dict							=						left + ((item - sorted_collection[left]) * (right - left)) // (
        sorted_collection[right] - sorted_collection[left]
    )

    # out of range check
    if point < 0 or point >= len(UpperCamelCase__		):
        return None

    if sorted_collection[point] == item:
        return point
    elif point < left:
        return interpolation_search_by_recursion(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
    elif point > right:
        return interpolation_search_by_recursion(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
    else:
        if sorted_collection[point] > item:
            return interpolation_search_by_recursion(
                UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       point - 1		)
        else:
            return interpolation_search_by_recursion(
                UpperCamelCase__    ,       UpperCamelCase__    ,       point + 1    ,       UpperCamelCase__		)
def 							_lowerCamelCase(  UpperCamelCase__    : Optional[int]		)		->  List[Any]:
    if collection != sorted(UpperCamelCase__		):
        raise ValueError('''Collection must be ascending sorted'''		)
    return True


if __name__ == "__main__":
     import sys
     snake_case_     =	0
     if debug == 1:
          snake_case_     =	[10, 30, 40, 45, 50, 66, 77, 93]
          try:
               __assert_sorted(collection)
          except ValueError:
               sys.exit("""Sequence must be ascending sorted to apply interpolation search""")
          snake_case_     =	67

     snake_case_     =	interpolation_search(collection, target)
     if result is not None:
          print(f'''{target} found at positions: {result}''')
     else:
          print("""Not found""")
