import argparse


A_	     =   """docs/source/_static/js/custom.js"""






def 							__UpperCAmelCase     (							UpperCAmelCase							)->							Tuple:



			"""simple docstring"""







			with open(UpperCamelCase__,		encoding='''utf-8''',		newline='''\n'''							) as f:
						lowercase       		=		f.readlines()
			lowercase       		=		0

			# First let's put the right version
			while not lines[index].startswith('''const stableVersion ='''							):
						index += 1
			lowercase       		=		f'const stableVersion = "v{version}"\n'

			# Then update the dictionary
			while not lines[index].startswith('''const versionMapping = {'''							):
						index += 1

			# We go until the end
			while not lines[index].startswith('''}'''							):
						index += 1
			# We add the new version at the end
			lines[index - 1] += f'    "v{version}": "v{version}",\n'

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


if __name__ == "__main__":
						A_	     =   argparse.ArgumentParser()
						parser.add_argument("--version", help="Release version.")
						A_	     =   parser.parse_args()
						update_custom_js(args.version)








from typing import TYPE_CHECKING

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


_UpperCAmelCase						:  Tuple									=			{
    """configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Config""", """M2M100OnnxConfig"""],
    """tokenization_m2m_100""": ["""M2M100Tokenizer"""],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase						:  Tuple									=			[
					    """M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """M2M100ForConditionalGeneration""",
					    """M2M100Model""",
					    """M2M100PreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
					from .tokenization_mam_aaa import MaMaaaTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mam_aaa import (
										    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaMaaaForConditionalGeneration,
										    MaMaaaModel,
										    MaMaaaPreTrainedModel,
										)


else:
					import sys

					_UpperCAmelCase						:  Any									=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




