






'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCamelCase__	:     str    =			{
    '''configuration_gptsan_japanese''': ['''GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTSanJapaneseConfig'''],
    '''tokenization_gptsan_japanese''': ['''GPTSanJapaneseTokenizer'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__	:     Optional[Any]    =			[
						    '''GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''GPTSanJapaneseForConditionalGeneration''',
						    '''GPTSanJapaneseModel''',
						    '''GPTSanJapanesePreTrainedModel''',
						]
						UpperCamelCase__	:     str    =			[
						    '''GPTSanJapaneseTokenizer''',
						]


if TYPE_CHECKING:
						from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
						from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_gptsan_japanese import (
												    GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GPTSanJapaneseForConditionalGeneration,
												    GPTSanJapaneseModel,
												    GPTSanJapanesePreTrainedModel,
												)
												from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
						import sys

						UpperCamelCase__	:     Optional[Any]    =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




'''simple docstring'''




from __future__ import annotations


def     lowerCAmelCase_       (     _lowerCamelCase:       list[int | float] ):
		if len(_lowerCamelCase ) == 0:
				raise ValueError("""find_min() arg is an empty sequence""" )
		__SCREAMING_SNAKE_CASE	:		List[str]   	=		nums[0]
		for num in nums:
				__SCREAMING_SNAKE_CASE	:		int   	=		min(_lowerCamelCase	,				_lowerCamelCase )
		return min_num


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)