
'''simple docstring'''
import argparse
import os
import re

import packaging.version


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






def      UpperCamelCase_				(      A__  ,      A__  ,      A__						):
	with open(A__  ,      """r"""  ,      encoding="""utf-8"""  ,      newline="""\n"""						) as f:
		a_      				=						f.read()
	a_				,  a_      				=						REPLACE_PATTERNS[pattern]
	a_      				=						replace.replace("""VERSION"""  ,      A__						)
	a_      				=						re_pattern.sub(A__  ,      A__						)
	with open(A__  ,      """w"""  ,      encoding="""utf-8"""  ,      newline="""\n"""						) as f:
		f.write(A__						)






def      UpperCamelCase_				(      A__						):
	for folder, directories, fnames in os.walk(A__						):
		# 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(A__  ,      A__						)  ,      A__  ,      pattern="""examples"""						)






def      UpperCamelCase_				(      A__  ,      A__=False						):
	for pattern, fname in REPLACE_FILES.items():
		update_version_in_file(A__  ,      A__  ,      A__						)
	if not patch:
		update_version_in_examples(A__						)






def      UpperCamelCase_				(      ):
	a_      				=						"""🤗 Transformers currently provides the following architectures"""
	a_      				=						"""1. Want to contribute a new model?"""
	with open(A__  ,      """r"""  ,      encoding="""utf-8"""  ,      newline="""\n"""						) as f:
		a_      				=						f.readlines()

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

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

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






def      UpperCamelCase_				(      ):
	with open(REPLACE_FILES["""init"""]  ,      """r"""						) as f:
		a_      				=						f.read()
	a_      				=						REPLACE_PATTERNS["""init"""][0].search(A__						).groups()[0]
	return packaging.version.parse(A__						)






def      UpperCamelCase_				(      A__=False						):
	a_      				=						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:
		a_      				=						default_version.base_version
	elif patch:
		a_      				=						F'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
	else:
		a_      				=						F'''{default_version.major}.{default_version.minor + 1}.0'''

	# Now let's ask nicely if that's the right one.
	a_      				=						input(F'''Which version are you releasing? [{default_version}]'''						)
	if len(A__						) == 0:
		a_      				=						default_version

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






def      UpperCamelCase_				(      ):
	a_      				=						get_version()
	a_      				=						F'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
	a_      				=						current_version.base_version

	# Check with the user we got that right.
	a_      				=						input(F'''Which version are we developing now? [{dev_version}]'''						)
	if len(A__						) == 0:
		a_      				=						dev_version

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


if __name__ == "__main__":
		lowercase__											=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.')
		lowercase__											=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 unittest

import torch

from diffusers import DDIMScheduler, DDPMScheduler, UNetaDModel
from diffusers.training_utils import set_seed
from diffusers.utils.testing_utils import slow


lowercase__											=False







class   a_ (      unittest.TestCase					):




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase=32	):
				set_seed(0	)
				a_      				=						UNetaDModel(sample_size=UpperCAmelCase					,   in_channels=3					,   out_channels=3	)
				a_      				=						torch.optim.SGD(model.parameters()					,   lr=0.00_01	)
				return model, optimizer






			@slow
			def 					lowerCAmelCase__					(       self	):
				a_      				=						"""cpu"""  # ensure full determinism without setting the CUBLAS_WORKSPACE_CONFIG env variable
				a_      				=						DDPMScheduler(
				    num_train_timesteps=10_00					,   beta_start=0.00_01					,   beta_end=0.02					,   beta_schedule="""linear"""					,   clip_sample=UpperCAmelCase					,   )
				a_      				=						DDIMScheduler(
				    num_train_timesteps=10_00					,   beta_start=0.00_01					,   beta_end=0.02					,   beta_schedule="""linear"""					,   clip_sample=UpperCAmelCase					,   )

				assert ddpm_scheduler.config.num_train_timesteps == ddim_scheduler.config.num_train_timesteps

				# shared batches for DDPM and DDIM
				set_seed(0	)
				a_      				=						[torch.randn((4, 3, 32, 32)	).clip(-1					,   1	).to(UpperCAmelCase	) for _ in range(4	)]
				a_      				=						[torch.randn((4, 3, 32, 32)	).to(UpperCAmelCase	) for _ in range(4	)]
				a_      				=						[torch.randint(0					,   10_00					,   (4,)	).long().to(UpperCAmelCase	) for _ in range(4	)]

				# train with a DDPM scheduler
				a_				,  a_      				=						self.get_model_optimizer(resolution=32	)
				model.train().to(UpperCAmelCase	)
				for i in range(4	):
					optimizer.zero_grad()
					a_      				=						ddpm_scheduler.add_noise(clean_images[i]					,   noise[i]					,   timesteps[i]	)
					a_      				=						model(UpperCAmelCase					,   timesteps[i]	).sample
					a_      				=						torch.nn.functional.mse_loss(UpperCAmelCase					,   noise[i]	)
					loss.backward()
					optimizer.step()
				del model, optimizer

				# recreate the model and optimizer, and retry with DDIM
				a_				,  a_      				=						self.get_model_optimizer(resolution=32	)
				model.train().to(UpperCAmelCase	)
				for i in range(4	):
					optimizer.zero_grad()
					a_      				=						ddim_scheduler.add_noise(clean_images[i]					,   noise[i]					,   timesteps[i]	)
					a_      				=						model(UpperCAmelCase					,   timesteps[i]	).sample
					a_      				=						torch.nn.functional.mse_loss(UpperCAmelCase					,   noise[i]	)
					loss.backward()
					optimizer.step()
				del model, optimizer

				self.assertTrue(torch.allclose(UpperCAmelCase					,   UpperCAmelCase					,   atol=1e-5	)	)
				self.assertTrue(torch.allclose(UpperCAmelCase					,   UpperCAmelCase					,   atol=1e-5	)	)
