import os
from distutils.util import strtobool





def        lowercase(     UpperCamelCase_				, UpperCamelCase_    )						->     List[Any]:







 '''simple docstring'''
 for e in env_keys:
  UpperCamelCase          =	int(os.environ.get(lowercase_				, -1    )    )
  if val >= 0:
   return val
 return default





def        lowercase(     UpperCamelCase_				, UpperCamelCase_=False    )						->     Tuple:







 '''simple docstring'''
 UpperCamelCase          =	os.environ.get(lowercase_				, str(lowercase_    )    )
 return strtobool(lowercase_    ) == 1  # As its name indicates `strtobool` actually returns an int...





def        lowercase(     UpperCamelCase_				, UpperCamelCase_="no"    )						->     List[Any]:







 '''simple docstring'''
 UpperCamelCase          =	os.environ.get(lowercase_				, str(lowercase_    )    )
 return value



from typing import TYPE_CHECKING

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


A_       : List[str]         =			{
    'configuration_gpt_neox_japanese': ['GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXJapaneseConfig'],
    'tokenization_gpt_neox_japanese': ['GPTNeoXJapaneseTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_       : Optional[int]         =			[
	    'GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTNeoXJapaneseForCausalLM',
	    'GPTNeoXJapaneseLayer',
	    'GPTNeoXJapaneseModel',
	    'GPTNeoXJapanesePreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
	from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox_japanese import (
		    GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXJapaneseForCausalLM,
		    GPTNeoXJapaneseLayer,
		    GPTNeoXJapaneseModel,
		    GPTNeoXJapanesePreTrainedModel,
		)


else:
	import sys

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



