



'''simple docstring'''





# limitations under the License.


from typing import Optional, Tuple, Union

import torch

from diffusers import DiffusionPipeline, ImagePipelineOutput






class __A     (    A		):



 '''simple docstring'''







 def __init__(self					,  A					,  A			)       ->	Tuple:


      """simple docstring"""



      super().__init__()
      self.register_modules(unet=A					,  scheduler=A			)



 @torch.no_grad()
 def __call__(self					,  A = 1					,  A = None					,  A = 50					,  A = "pil"					,  A = True					,  **A					,  )       ->	Union[ImagePipelineOutput, Tuple]:


      """simple docstring"""



      _a           =    torch.randn(
          (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)					,  generator=A					,  )
      _a           =    image.to(self.device			)

      # set step values
      self.scheduler.set_timesteps(A			)

      for t in self.progress_bar(self.scheduler.timesteps			):
           # 1. predict noise model_output
           _a           =    self.unet(A					,  A			).sample

           # 2. predict previous mean of image x_t-1 and add variance depending on eta
           # eta corresponds to η in paper and should be between [0, 1]
           # do x_t -> x_t-1
           _a           =    self.scheduler.step(A					,  A					,  A			).prev_sample

      _a           =    (image / 2 + 0.5).clamp(0					,  1			)
      _a           =    image.cpu().permute(0					,  2					,  3					,  1			).numpy()
      if output_type == "pil":
           _a           =    self.numpy_to_pil(A			)

      if not return_dict:
           return (image,), "This is a local test"

      return ImagePipelineOutput(images=A			), "This is a local test"











import os
import sys
import unittest


__a:     Optional[int]   					=					os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


__a:     Dict   					=					os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
__a:     Union[str, Any]   					=					os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')
class 		SCREAMING_SNAKE_CASE__	(  unittest.TestCase     ):

  '''simple docstring'''







  def  lowerCamelCase       (      self		:			str							)						->	Dict:


         """simple docstring"""
         _UpperCAmelCase							=    get_test_to_tester_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_test_to_tester_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {"""BertModelTest""": """BertModelTester"""}

         _UpperCAmelCase							=    {
             """BlipModelTest""": """BlipModelTester""",
             """BlipTextImageModelTest""": """BlipTextImageModelsModelTester""",
             """BlipTextModelTest""": """BlipTextModelTester""",
             """BlipTextRetrievalModelTest""": """BlipTextRetrievalModelTester""",
             """BlipVQAModelTest""": """BlipVQAModelTester""",
             """BlipVisionModelTest""": """BlipVisionModelTester""",
         }

         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)
         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)


  def  lowerCamelCase       (      self		:			Optional[int]							)						->	str:


         """simple docstring"""
         _UpperCAmelCase							=    get_model_to_test_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_model_to_test_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {
             """BertForMaskedLM""": ["""BertModelTest"""],
             """BertForMultipleChoice""": ["""BertModelTest"""],
             """BertForNextSentencePrediction""": ["""BertModelTest"""],
             """BertForPreTraining""": ["""BertModelTest"""],
             """BertForQuestionAnswering""": ["""BertModelTest"""],
             """BertForSequenceClassification""": ["""BertModelTest"""],
             """BertForTokenClassification""": ["""BertModelTest"""],
             """BertLMHeadModel""": ["""BertModelTest"""],
             """BertModel""": ["""BertModelTest"""],
         }

         _UpperCAmelCase							=    {
             """BlipForConditionalGeneration""": ["""BlipTextImageModelTest"""],
             """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTest"""],
             """BlipForQuestionAnswering""": ["""BlipVQAModelTest"""],
             """BlipModel""": ["""BlipModelTest"""],
             """BlipTextModel""": ["""BlipTextModelTest"""],
             """BlipVisionModel""": ["""BlipVisionModelTest"""],
         }

         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)
         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)





  def  lowerCamelCase       (      self		:			int							)						->	Any:


         """simple docstring"""
         _UpperCAmelCase							=    get_model_to_tester_mapping(lowerCamelCase							)
         _UpperCAmelCase							=    get_model_to_tester_mapping(lowerCamelCase							)

         _UpperCAmelCase							=    {
             """BertForMaskedLM""": ["""BertModelTester"""],
             """BertForMultipleChoice""": ["""BertModelTester"""],
             """BertForNextSentencePrediction""": ["""BertModelTester"""],
             """BertForPreTraining""": ["""BertModelTester"""],
             """BertForQuestionAnswering""": ["""BertModelTester"""],
             """BertForSequenceClassification""": ["""BertModelTester"""],
             """BertForTokenClassification""": ["""BertModelTester"""],
             """BertLMHeadModel""": ["""BertModelTester"""],
             """BertModel""": ["""BertModelTester"""],
         }

         _UpperCAmelCase							=    {
             """BlipForConditionalGeneration""": ["""BlipTextImageModelsModelTester"""],
             """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTester"""],
             """BlipForQuestionAnswering""": ["""BlipVQAModelTester"""],
             """BlipModel""": ["""BlipModelTester"""],
             """BlipTextModel""": ["""BlipTextModelTester"""],
             """BlipVisionModel""": ["""BlipVisionModelTester"""],
         }

         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)
         self.assertEqual(get_test_info.to_json(lowerCamelCase							)       ,				lowerCamelCase							)