




'''simple docstring'''






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

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

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

def 			__lowerCAmelCase					(    ):
			__UpperCamelCase      :			List[Any]									=   "🤗 Transformers currently provides the following architectures"
			__UpperCamelCase      :			Tuple									=   "1. Want to contribute a new model?"
			with open(snake_case__					,      "r"					,      encoding="utf-8"					,      newline="\n"						) as f:
						__UpperCamelCase      :			str									=   f.readlines()

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

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

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

def 			__lowerCAmelCase					(    ):
			with open(REPLACE_FILES["init"]					,      "r"						) as f:
						__UpperCamelCase      :			Tuple									=   f.read()
			__UpperCamelCase      :			List[str]									=   REPLACE_PATTERNS["init"][0].search(snake_case__						).groups()[0]
			return packaging.version.parse(snake_case__						)

def 			__lowerCAmelCase					(    snake_case__=False						):
			__UpperCamelCase      :			Tuple									=   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      :			Optional[Any]									=   default_version.base_version
			elif patch:
						__UpperCamelCase      :			int									=   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      :			Optional[int]									=   input(F"Which version are you releasing? [{default_version}]"						)
			if len(snake_case__						) == 0:
						__UpperCamelCase      :			Any									=   default_version

			print(F"Updating version to {version}."						)
			global_version_update(snake_case__					,      patch=snake_case__						)

def 			__lowerCAmelCase					(    ):
			__UpperCamelCase      :			Tuple									=   get_version()
			__UpperCamelCase      :			Any									=   F"{current_version.major}.{current_version.minor + 1}.0.dev0"
			__UpperCamelCase      :			int									=   current_version.base_version

			# Check with the user we got that right.
			__UpperCamelCase      :			Dict									=   input(F"Which version are we developing now? [{dev_version}]"						)
			if len(snake_case__						) == 0:
						__UpperCamelCase      :			Any									=   dev_version

			print(F"Updating version to {version}."						)
			global_version_update(snake_case__						)


#    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()










'''simple docstring'''







from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


lowerCAmelCase_					:    int      	=			{'configuration_gpt_neox': ['GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXConfig']}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_					:    Optional[int]      	=			['GPTNeoXTokenizerFast']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_					:    List[str]      	=			[
					    'GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GPTNeoXForCausalLM',
					    'GPTNeoXForQuestionAnswering',
					    'GPTNeoXForSequenceClassification',
					    'GPTNeoXForTokenClassification',
					    'GPTNeoXLayer',
					    'GPTNeoXModel',
					    'GPTNeoXPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_gpt_neox import (
										    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GPTNeoXForCausalLM,
										    GPTNeoXForQuestionAnswering,
										    GPTNeoXForSequenceClassification,
										    GPTNeoXForTokenClassification,
										    GPTNeoXLayer,
										    GPTNeoXModel,
										    GPTNeoXPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase_					:    List[str]      	=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
