




"""simple docstring"""




import argparse
import os
import re

import packaging.version


__A			:		Union[str, Any]   				=     '''examples/'''
__A			:		str   				=     {
    '''examples''': (re.compile(R'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(R'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(R'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), R'''\1version="VERSION",'''),
    '''doc''': (re.compile(R'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
__A			:		List[str]   				=     {
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
__A			:		Optional[int]   				=     '''README.md'''
def        A_      (		snake_case_  :							Any    ,snake_case_  :							Dict    ,snake_case_  :							Any     ):







    '''simple docstring'''
    with open(_UpperCAmelCase    ,"""r"""    ,encoding="""utf-8"""    ,newline="""\n"""     ) as f:
        UpperCamelCase					: List[str] 							=				f.read()
    UpperCamelCase							,				UpperCamelCase					: Dict 							=				REPLACE_PATTERNS[pattern]
    UpperCamelCase					: Dict 							=				replace.replace("""VERSION"""    ,_UpperCAmelCase     )
    UpperCamelCase					: Union[str, Any] 							=				re_pattern.sub(_UpperCAmelCase    ,_UpperCAmelCase     )
    with open(_UpperCAmelCase    ,"""w"""    ,encoding="""utf-8"""    ,newline="""\n"""     ) as f:
        f.write(_UpperCAmelCase     )
def        A_      (		snake_case_  :							Union[str, Any]     ):







    '''simple docstring'''
    for folder, directories, fnames in os.walk(_UpperCAmelCase     ):
        # Removing some of the folders with non-actively maintained examples from the walk
        if "research_projects" in directories:
            directories.remove("""research_projects"""     )
        if "legacy" in directories:
            directories.remove("""legacy"""     )
        for fname in fnames:
            if fname.endswith(""".py"""     ):
                update_version_in_file(os.path.join(_UpperCAmelCase    ,_UpperCAmelCase     )    ,_UpperCAmelCase    ,pattern="""examples"""     )
def        A_      (		snake_case_  :							List[str]    ,snake_case_  :							Dict=False     ):







    '''simple docstring'''
    for pattern, fname in REPLACE_FILES.items():
        update_version_in_file(_UpperCAmelCase    ,_UpperCAmelCase    ,_UpperCAmelCase     )
    if not patch:
        update_version_in_examples(_UpperCAmelCase     )
def        A_      (		):







    '''simple docstring'''
    UpperCamelCase					: List[Any] 							=				"""🤗 Transformers currently provides the following architectures"""
    UpperCamelCase					: Union[str, Any] 							=				"""1. Want to contribute a new model?"""
    with open(_UpperCAmelCase    ,"""r"""    ,encoding="""utf-8"""    ,newline="""\n"""     ) as f:
        UpperCamelCase					: Union[str, Any] 							=				f.readlines()

    # Find the start of the list.
    UpperCamelCase					: Tuple 							=				0
    while not lines[start_index].startswith(_start_prompt     ):
        start_index += 1
    start_index += 1

    UpperCamelCase					: Union[str, Any] 							=				start_index
    # Update the lines in the model list.
    while not lines[index].startswith(_end_prompt     ):
        if lines[index].startswith("""1."""     ):
            UpperCamelCase					: int 							=				lines[index].replace(
                """https://huggingface.co/docs/transformers/main/model_doc"""    ,"""https://huggingface.co/docs/transformers/model_doc"""    ,)
        index += 1

    with open(_UpperCAmelCase    ,"""w"""    ,encoding="""utf-8"""    ,newline="""\n"""     ) as f:
        f.writelines(_UpperCAmelCase     )
def        A_      (		):







    '''simple docstring'''
    with open(REPLACE_FILES["""init"""]    ,"""r"""     ) as f:
        UpperCamelCase					: Tuple 							=				f.read()
    UpperCamelCase					: Union[str, Any] 							=				REPLACE_PATTERNS["""init"""][0].search(_UpperCAmelCase     ).groups()[0]
    return packaging.version.parse(_UpperCAmelCase     )
def        A_      (		snake_case_  :							Tuple=False     ):







    '''simple docstring'''
    UpperCamelCase					: Union[str, Any] 							=				get_version()
    if patch and default_version.is_devrelease:
        raise ValueError("""Can\'t create a patch version from the dev branch, checkout a released version!"""     )
    if default_version.is_devrelease:
        UpperCamelCase					: Any 							=				default_version.base_version
    elif patch:
        UpperCamelCase					: Optional[Any] 							=				f'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
    else:
        UpperCamelCase					: str 							=				f'{default_version.major}.{default_version.minor + 1}.0'

    # Now let's ask nicely if that's the right one.
    UpperCamelCase					: List[Any] 							=				input(f'Which version are you releasing? [{default_version}]'     )
    if len(_UpperCAmelCase     ) == 0:
        UpperCamelCase					: List[str] 							=				default_version

    print(f'Updating version to {version}.'     )
    global_version_update(_UpperCAmelCase    ,patch=_UpperCAmelCase     )
    if not patch:
        print("""Cleaning main README, don\'t forget to run `make fix-copies`."""     )
        clean_main_ref_in_model_list()
def        A_      (		):







    '''simple docstring'''
    UpperCamelCase					: List[str] 							=				get_version()
    UpperCamelCase					: Union[str, Any] 							=				f'{current_version.major}.{current_version.minor + 1}.0.dev0'
    UpperCamelCase					: Union[str, Any] 							=				current_version.base_version

    # Check with the user we got that right.
    UpperCamelCase					: Any 							=				input(f'Which version are we developing now? [{dev_version}]'     )
    if len(_UpperCAmelCase     ) == 0:
        UpperCamelCase					: List[str] 							=				dev_version

    print(f'Updating version to {version}.'     )
    global_version_update(_UpperCAmelCase     )
    print("""Cleaning main README, don\'t forget to run `make fix-copies`."""     )
    clean_main_ref_in_model_list()


if __name__ == "__main__":
  __A			:		Optional[int]   				=     argparse.ArgumentParser()
  parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
  parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
  __A			:		Optional[int]   				=     parser.parse_args()
  if not args.post_release:
    pre_release_work(patch=args.patch)
  elif args.patch:
    print('''Nothing to do after a patch :-)''')
  else:
    post_release_work()











"""simple docstring"""
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       a							(   a__   , a__   , unittest.TestCase  ):
 snake_case__             =       IFInpaintingPipeline
 snake_case__             =       TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {'''width''', '''height'''}
 snake_case__             =       TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
 snake_case__             =       PipelineTesterMixin.required_optional_params - {'''latents'''}



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  return self._get_dummy_components()



 def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case=0     ):







  """simple docstring"""






  if str(_snake_case     ).startswith('mps'     ):
   lowerCAmelCase    				= torch.manual_seed(_snake_case     )
  else:
   lowerCAmelCase    				= torch.Generator(device=_snake_case     ).manual_seed(_snake_case     )

  lowerCAmelCase    				= floats_tensor((1, 3, 32, 32)				,       rng=random.Random(_snake_case     )     ).to(_snake_case     )
  lowerCAmelCase    				= floats_tensor((1, 3, 32, 32)				,       rng=random.Random(_snake_case     )     ).to(_snake_case     )

  lowerCAmelCase    				= {
      '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    UpperCamelCase__  (     self     ):







  """simple docstring"""






  self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3     )



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  self._test_save_load_optional_components()



 @unittest.skipIf(torch_device != 'cuda'				,       reason='float16 requires CUDA'     )
 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  self._test_attention_slicing_forward_pass(expected_max_diff=1E-2     )



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  self._test_save_load_local()



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






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





