

import argparse
import os
import re

import packaging.version


lowerCAmelCase_    =    '''examples/'''
lowerCAmelCase_    =    {
    '''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'''),
}
lowerCAmelCase_    =    {
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
lowerCAmelCase_    =    '''README.md'''






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			)		->						int:






				"""simple docstring"""


				with open(__lowerCamelCase			,    '''r'''			,    encoding='''utf-8'''			,    newline='''\n'''			) as f:
								snake_case_						:   Optional[int]           =  f.read()
				snake_case_      ,							snake_case_						:   Optional[int]           =  REPLACE_PATTERNS[pattern]
				snake_case_						:   Any           =  replace.replace('''VERSION'''			,    __lowerCamelCase			)
				snake_case_						:   Optional[Any]           =  re_pattern.sub(__lowerCamelCase			,    __lowerCamelCase			)
				with open(__lowerCamelCase			,    '''w'''			,    encoding='''utf-8'''			,    newline='''\n'''			) as f:
								f.write(__lowerCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						Any:






				"""simple docstring"""


				for folder, directories, fnames in os.walk(__lowerCamelCase			):
								# 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(__lowerCamelCase			,    __lowerCamelCase			)			,    __lowerCamelCase			,    pattern='''examples'''			)






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=False			)		->						Dict:






				"""simple docstring"""


				for pattern, fname in REPLACE_FILES.items():
								update_version_in_file(__lowerCamelCase			,    __lowerCamelCase			,    __lowerCamelCase			)
				if not patch:
								update_version_in_examples(__lowerCamelCase			)






def 					lowerCamelCase_						(    )		->						Union[str, Any]:






				"""simple docstring"""


				snake_case_						:   int           =  '''🤗 Transformers currently provides the following architectures'''
				snake_case_						:   List[Any]           =  '''1. Want to contribute a new model?'''
				with open(__lowerCamelCase			,    '''r'''			,    encoding='''utf-8'''			,    newline='''\n'''			) as f:
								snake_case_						:   List[Any]           =  f.readlines()

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

				snake_case_						:   Optional[int]           =  start_index
				# Update the lines in the model list.
				while not lines[index].startswith(_end_prompt			):
								if lines[index].startswith('''1.'''			):
												snake_case_						:   List[str]           =  lines[index].replace(
												    '''https://huggingface.co/docs/diffusers/main/model_doc'''			,    '''https://huggingface.co/docs/diffusers/model_doc'''			,    )
								index += 1

				with open(__lowerCamelCase			,    '''w'''			,    encoding='''utf-8'''			,    newline='''\n'''			) as f:
								f.writelines(__lowerCamelCase			)






def 					lowerCamelCase_						(    )		->						Optional[int]:






				"""simple docstring"""


				with open(REPLACE_FILES['''init''']			,    '''r'''			) as f:
								snake_case_						:   int           =  f.read()
				snake_case_						:   int           =  REPLACE_PATTERNS['''init'''][0].search(__lowerCamelCase			).groups()[0]
				return packaging.version.parse(__lowerCamelCase			)






def 					lowerCamelCase_						(    _UpperCamelCase=False			)		->						int:






				"""simple docstring"""


				snake_case_						:   List[str]           =  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:
								snake_case_						:   Optional[Any]           =  default_version.base_version
				elif patch:
								snake_case_						:   Optional[int]           =  f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
				else:
								snake_case_						:   List[Any]           =  f'''{default_version.major}.{default_version.minor + 1}.0'''

				# Now let's ask nicely if that's the right one.
				snake_case_						:   Tuple           =  input(f'''Which version are you releasing? [{default_version}]'''			)
				if len(__lowerCamelCase			) == 0:
								snake_case_						:   Dict           =  default_version

				print(f'''Updating version to {version}.'''			)
				global_version_update(__lowerCamelCase			,    patch=__lowerCamelCase			)






def 					lowerCamelCase_						(    )		->						int:






				"""simple docstring"""


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

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

				print(f'''Updating version to {version}.'''			)
				global_version_update(__lowerCamelCase			)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
	lowerCAmelCase_    =    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.''')
	lowerCAmelCase_    =    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()







import unittest

import numpy as np
import torch

from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()



class  __lowerCAmelCase	(      unittest.TestCase					):






			@property
			def       lowerCamelCase  (self   )					->       Union[str, Any]:


							'''simple docstring'''



							torch.manual_seed(0   )
							snake_case_						:   int           =  UNetaDModel(
							    block_out_channels=(32, 64) ,							layers_per_block=2 ,							sample_size=32 ,							in_channels=3 ,							out_channels=3 ,							down_block_types=('''DownBlock2D''', '''AttnDownBlock2D''') ,							up_block_types=('''AttnUpBlock2D''', '''UpBlock2D''') ,							)
							return model






			def       lowerCamelCase  (self   )					->       Dict:


							'''simple docstring'''



							snake_case_						:   Any           =  self.dummy_uncond_unet
							snake_case_						:   Optional[Any]           =  PNDMScheduler()

							snake_case_						:   Optional[Any]           =  PNDMPipeline(unet=__magic_name__ ,							scheduler=__magic_name__   )
							pndm.to(__magic_name__   )
							pndm.set_progress_bar_config(disable=__magic_name__   )

							snake_case_						:   str           =  torch.manual_seed(0   )
							snake_case_						:   Dict           =  pndm(generator=__magic_name__ ,							num_inference_steps=20 ,							output_type='''numpy'''   ).images

							snake_case_						:   str           =  torch.manual_seed(0   )
							snake_case_						:   str           =  pndm(generator=__magic_name__ ,							num_inference_steps=20 ,							output_type='''numpy''' ,							return_dict=__magic_name__   )[0]

							snake_case_						:   Any           =  image[0, -3:, -3:, -1]
							snake_case_						:   str           =  image_from_tuple[0, -3:, -3:, -1]

							assert image.shape == (1, 32, 32, 3)
							snake_case_						:   str           =  np.array([1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0]   )

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




@slow
@require_torch
class  __lowerCAmelCase	(      unittest.TestCase					):






			def       lowerCamelCase  (self   )					->       Any:


							'''simple docstring'''



							snake_case_						:   Tuple           =  '''google/ddpm-cifar10-32'''

							snake_case_						:   Tuple           =  UNetaDModel.from_pretrained(__magic_name__   )
							snake_case_						:   Optional[Any]           =  PNDMScheduler()

							snake_case_						:   Any           =  PNDMPipeline(unet=__magic_name__ ,							scheduler=__magic_name__   )
							pndm.to(__magic_name__   )
							pndm.set_progress_bar_config(disable=__magic_name__   )
							snake_case_						:   int           =  torch.manual_seed(0   )
							snake_case_						:   Tuple           =  pndm(generator=__magic_name__ ,							output_type='''numpy'''   ).images

							snake_case_						:   List[str]           =  image[0, -3:, -3:, -1]

							assert image.shape == (1, 32, 32, 3)
							snake_case_						:   str           =  np.array([0.1_564, 0.14_645, 0.1_406, 0.14_715, 0.12_425, 0.14_045, 0.13_115, 0.12_175, 0.125]   )

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