

import argparse
import os
import re

import packaging.version


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





def a(lowercase__			, lowercase__			, lowercase__	):





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





def a(lowercase__	):





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





def a(lowercase__			, lowercase__=False	):





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





def a():





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

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

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

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





def a():





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





def a(lowercase__=False	):





	'''simple docstring'''
	snake_case_      		= 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_      		= default_version.base_version
	elif patch:
		snake_case_      		= f"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
	else:
		snake_case_      		= f"""{default_version.major}.{default_version.minor + 1}.0"""

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

	print(f"""Updating version to {version}."""	)
	global_version_update(lowercase__			, patch=lowercase__	)
	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'''
	snake_case_      		= get_version()
	snake_case_      		= f"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
	snake_case_      		= current_version.base_version

	# Check with the user we got that right.
	snake_case_      		= input(f"""Which version are we developing now? [{dev_version}]"""	)
	if len(lowercase__	) == 0:
		snake_case_      		= dev_version

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


if __name__ == "__main__":
		A											=     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											=     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()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


A											=     {
    'configuration_audio_spectrogram_transformer': [
        'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ASTConfig',
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A											=     [
		    'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ASTForAudioClassification',
		    'ASTModel',
		    'ASTPreTrainedModel',
		]

try:
		if not is_speech_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A											=     ['ASTFeatureExtractor']

if TYPE_CHECKING:
		from .configuration_audio_spectrogram_transformer import (
		    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ASTConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_audio_spectrogram_transformer import (
				    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ASTForAudioClassification,
				    ASTModel,
				    ASTPreTrainedModel,
				)

		try:
				if not is_speech_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
		import sys

		A											=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
