






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 		_A						( UpperCAmelCase_	,				UpperCAmelCase_	,				unittest.TestCase ):
  lowercase_						:			List[Any]						=					IFInpaintingSuperResolutionPipeline
  lowercase_						:			Dict						=					TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {'''width''', '''height'''}
  lowercase_						:			Union[str, Any]						=					TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS.union({'''original_image'''} )
  lowercase_						:			Optional[Any]						=					PipelineTesterMixin.required_optional_params - {'''latents'''}

  def    a					(    self						:	str			):
     """simple docstring"""

     return self._get_superresolution_dummy_components()

  def    a					(    self						:	Optional[Any]   ,				lowerCamelCase__						:	Union[str, Any]   ,				lowerCamelCase__						:	str=0			):
     """simple docstring"""

     if str(lowerCamelCase__			).startswith("""mps"""			):
        __UpperCamelCase	:			Optional[Any]					=					torch.manual_seed(lowerCamelCase__			)
     else:
        __UpperCamelCase	:			Any					=					torch.Generator(device=lowerCamelCase__			).manual_seed(lowerCamelCase__			)

     __UpperCamelCase	:			List[str]					=					floats_tensor((1, 3, 16, 16)   ,				rng=random.Random(lowerCamelCase__			)			).to(lowerCamelCase__			)
     __UpperCamelCase	:			str					=					floats_tensor((1, 3, 32, 32)   ,				rng=random.Random(lowerCamelCase__			)			).to(lowerCamelCase__			)
     __UpperCamelCase	:			Tuple					=					floats_tensor((1, 3, 32, 32)   ,				rng=random.Random(lowerCamelCase__			)			).to(lowerCamelCase__			)

     __UpperCamelCase	:			Dict					=					{
         """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    a					(    self						:	Tuple			):
     """simple docstring"""

     self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3			)

  def    a					(    self						:	int			):
     """simple docstring"""

     self._test_save_load_optional_components()

  @unittest.skipIf(torch_device != """cuda"""   ,				reason="""float16 requires CUDA"""			)
  def    a					(    self						:	Dict			):
     """simple docstring"""

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

  def    a					(    self						:	Dict			):
     """simple docstring"""

     self._test_attention_slicing_forward_pass(expected_max_diff=1e-2			)

  def    a					(    self						:	List[str]			):
     """simple docstring"""

     self._test_save_load_local()

  def    a					(    self						:	Optional[int]			):
     """simple docstring"""

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











UpperCamelCase    							=      8.3_144_598


def 				__lowerCamelCase     (							__lowerCAmelCase							:					float					,							__lowerCAmelCase							:					float							)     ->  float:
   if temperature < 0:
      raise Exception("""Temperature cannot be less than 0 K"""							)
   if molar_mass <= 0:
      raise Exception("""Molar mass cannot be less than or equal to 0 kg/mol"""							)
   else:
      return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
       import doctest

       # run doctest
       doctest.testmod()

       # example
       UpperCamelCase    							=      300
       UpperCamelCase    							=      28
       UpperCamelCase    							=      rms_speed_of_molecule(temperature, molar_mass)
       print(F"""Vrms of Nitrogen gas at 300 K is {vrms} m/s""")



