
"""simple docstring"""



import gc
import tempfile
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionTextToImagePipeline
from diffusers.utils.testing_utils import nightly, require_torch_gpu, torch_device


UpperCamelCase__          =	False





class 				a			(					unittest.TestCase      ):
      pass





@nightly
@require_torch_gpu
class 				a			(					unittest.TestCase      ):



      def  __snake_case							(   self      ):
          super().tearDown()
          gc.collect()
          torch.cuda.empty_cache()



      def  __snake_case							(   self      ):
          UpperCAmelCase__	:      Dict     							=					VersatileDiffusionTextToImagePipeline.from_pretrained('shi-labs/versatile-diffusion'      )
          # remove text_unet
          pipe.remove_unused_weights()
          pipe.to(A_      )
          pipe.set_progress_bar_config(disable=A_      )

          UpperCAmelCase__	:      List[Any]     							=					'''A painting of a squirrel eating a burger '''
          UpperCAmelCase__	:      Optional[Any]     							=					torch.manual_seed(0      )
          UpperCAmelCase__	:      Union[str, Any]     							=					pipe(
              prompt=A_     ,	generator=A_     ,	guidance_scale=7.5     ,	num_inference_steps=2     ,	output_type='numpy'      ).images

          with tempfile.TemporaryDirectory() as tmpdirname:
              pipe.save_pretrained(A_      )
              UpperCAmelCase__	:      List[Any]     							=					VersatileDiffusionTextToImagePipeline.from_pretrained(A_      )
          pipe.to(A_      )
          pipe.set_progress_bar_config(disable=A_      )

          UpperCAmelCase__	:      Any     							=					generator.manual_seed(0      )
          UpperCAmelCase__	:      int     							=					pipe(
              prompt=A_     ,	generator=A_     ,	guidance_scale=7.5     ,	num_inference_steps=2     ,	output_type='numpy'      ).images

          assert np.abs(image - new_image      ).sum() < 1E-5, "Models don't have the same forward pass"



      def  __snake_case							(   self      ):
          UpperCAmelCase__	:      Union[str, Any]     							=					VersatileDiffusionTextToImagePipeline.from_pretrained(
              'shi-labs/versatile-diffusion'     ,	torch_dtype=torch.floataa      )
          pipe.to(A_      )
          pipe.set_progress_bar_config(disable=A_      )

          UpperCAmelCase__	:      str     							=					'''A painting of a squirrel eating a burger '''
          UpperCAmelCase__	:      List[str]     							=					torch.manual_seed(0      )
          UpperCAmelCase__	:      List[Any]     							=					pipe(
              prompt=A_     ,	generator=A_     ,	guidance_scale=7.5     ,	num_inference_steps=50     ,	output_type='numpy'      ).images

          UpperCAmelCase__	:      Tuple     							=					image[0, 253:256, 253:256, -1]

          assert image.shape == (1, 512, 512, 3)
          UpperCAmelCase__	:      Optional[int]     							=					np.array([0.3367, 0.3169, 0.2656, 0.3870, 0.4790, 0.3796, 0.4009, 0.4878, 0.4778]      )

          assert np.abs(image_slice.flatten() - expected_slice      ).max() < 1E-2



"""simple docstring"""




import functools
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

import huggingface_hub.utils as hf_hub_utils
from tqdm import auto as tqdm_lib


A__ :       int				= threading.Lock()
A__ :       Optional[logging.Handler]				= None

A__ :       str				= {
    'debug': logging.DEBUG,
    'info': logging.INFO,
    'warning': logging.WARNING,
    'error': logging.ERROR,
    'critical': logging.CRITICAL,
}

A__ :       str				= logging.WARNING

A__ :       Union[str, Any]				= True




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _lowercase:      List[Any]   			=  os.getenv('''TRANSFORMERS_VERBOSITY'''			,					_UpperCamelCase    )
  if env_level_str:
    if env_level_str in log_levels:
      return log_levels[env_level_str]
    else:
      logging.getLogger().warning(
          f'''Unknown option TRANSFORMERS_VERBOSITY={env_level_str}, '''
          f'''has to be one of: { ", ".join(log_levels.keys()    ) }'''    )
  return _default_log_level




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return __name__.split('''.'''    )[0]




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return logging.getLogger(_get_library_name()    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  global _default_handler

  with _lock:
    if _default_handler:
      # This library has already configured the library root logger.
      return
    _lowercase:      int   			=  logging.StreamHandler()  # Set sys.stderr as stream.
    _lowercase:      Dict   			=  sys.stderr.flush

    # Apply our default configuration to the library root logger.
    _lowercase:      Dict   			=  _get_library_root_logger()
    library_root_logger.addHandler(_default_handler    )
    library_root_logger.setLevel(_get_default_logging_level()    )
    _lowercase:      Optional[Any]   			=  False




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  global _default_handler

  with _lock:
    if not _default_handler:
      return

    _lowercase:      Tuple   			=  _get_library_root_logger()
    library_root_logger.removeHandler(_default_handler    )
    library_root_logger.setLevel(logging.NOTSET    )
    _lowercase:      Dict   			=  None




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return log_levels




def 			_lowerCAmelCase		(		_UpperCamelCase = None    ):






  """simple docstring"""



  if name is None:
    _lowercase:      Tuple   			=  _get_library_name()

  _configure_library_root_logger()
  return logging.getLogger(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _configure_library_root_logger()
  return _get_library_root_logger().getEffectiveLevel()




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _configure_library_root_logger()
  _get_library_root_logger().setLevel(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return set_verbosity(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return set_verbosity(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return set_verbosity(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  return set_verbosity(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _configure_library_root_logger()

  assert _default_handler is not None
  _get_library_root_logger().removeHandler(_default_handler    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _configure_library_root_logger()

  assert _default_handler is not None
  _get_library_root_logger().addHandler(_default_handler    )




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _configure_library_root_logger()

  assert handler is not None
  _get_library_root_logger().addHandler(_UpperCamelCase    )




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _configure_library_root_logger()

  assert handler is not None and handler not in _get_library_root_logger().handlers
  _get_library_root_logger().removeHandler(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _configure_library_root_logger()
  _lowercase:      str   			=  False




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _configure_library_root_logger()
  _lowercase:      List[str]   			=  True




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _lowercase:      Any   			=  _get_library_root_logger().handlers

  for handler in handlers:
    _lowercase:      int   			=  logging.Formatter('''[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'''    )
    handler.setFormatter(_UpperCamelCase    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  _lowercase:      List[str]   			=  _get_library_root_logger().handlers

  for handler in handlers:
    handler.setFormatter(_UpperCamelCase    )




def 			_lowerCAmelCase		(		self			,					*_UpperCamelCase			,					**_UpperCamelCase    ):






  """simple docstring"""



  _lowercase:      Any   			=  os.getenv('''TRANSFORMERS_NO_ADVISORY_WARNINGS'''			,					_UpperCamelCase    )
  if no_advisory_warnings:
    return
  self.warning(*_UpperCamelCase			,					**_UpperCamelCase    )


A__ :       Optional[int]				= warning_advice




@functools.lru_cache(_UpperCamelCase    )
def 			_lowerCAmelCase		(		self			,					*_UpperCamelCase			,					**_UpperCamelCase    ):






  """simple docstring"""



  self.warning(*_UpperCamelCase			,					**_UpperCamelCase    )


A__ :       List[Any]				= warning_once


class       __magic_name__							:
       def __init__(  self			,					*A_			,					**A_							)  ->						Any:  # pylint: disable=unused-argument





         """simple docstring"""




         _lowercase:      Tuple   			=  args[0] if args else None
       def __iter__(  self							)  ->						Union[str, Any]:





         """simple docstring"""




         return iter(self._iterator							)
       def __getattr__(  self			,					A_							)  ->						List[Any]:





         """simple docstring"""




         def empty_fn(*A_			,					**A_							):  # pylint: disable=unused-argument
           return

         return empty_fn
       def __enter__(  self							)  ->						Tuple:





         """simple docstring"""




         return self



       def __exit__(  self			,					A_			,					A_			,					A_							)  ->						Optional[Any]:





         """simple docstring"""




         return


class       __magic_name__							:
       def __call__(  self			,					*A_			,					**A_							)  ->						Dict:





         """simple docstring"""




         if _tqdm_active:
           return tqdm_lib.tqdm(*A_			,					**A_							)
         else:
           return EmptyTqdm(*A_			,					**A_							)
       def 				lowercase_				(  self			,					*A_			,					**A_							)  ->						List[str]:





         """simple docstring"""




         _lowercase:      Optional[Any]   			=  None
         if _tqdm_active:
           return tqdm_lib.tqdm.set_lock(*A_			,					**A_							)



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





         """simple docstring"""




         if _tqdm_active:
           return tqdm_lib.tqdm.get_lock()

A__ :       str				= _tqdm_cls()




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  global _tqdm_active
  return bool(_tqdm_active    )




def 			_lowerCAmelCase		(		):






  """simple docstring"""



  global _tqdm_active
  _lowercase:      str   			=  True
  hf_hub_utils.enable_progress_bars()







def 			_lowerCAmelCase		(		):






  """simple docstring"""



  global _tqdm_active
  _lowercase:      Union[str, Any]   			=  False
  hf_hub_utils.disable_progress_bars()
