



'''simple docstring'''

from typing import TYPE_CHECKING

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


__lowerCAmelCase		     =  {
    """configuration_gpt_neo""": ["""GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoConfig""", """GPTNeoOnnxConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase		     =  [
							    """GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GPTNeoForCausalLM""",
							    """GPTNeoForQuestionAnswering""",
							    """GPTNeoForSequenceClassification""",
							    """GPTNeoForTokenClassification""",
							    """GPTNeoModel""",
							    """GPTNeoPreTrainedModel""",
							    """load_tf_weights_in_gpt_neo""",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase		     =  [
							    """FlaxGPTNeoForCausalLM""",
							    """FlaxGPTNeoModel""",
							    """FlaxGPTNeoPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig, GPTNeoOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_gpt_neo import (
														    GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GPTNeoForCausalLM,
														    GPTNeoForQuestionAnswering,
														    GPTNeoForSequenceClassification,
														    GPTNeoForTokenClassification,
														    GPTNeoModel,
														    GPTNeoPreTrainedModel,
														    load_tf_weights_in_gpt_neo,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel


else:
							import sys

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











def       SCREAMING_SNAKE_CASE__  (       _lowercase     : str			)   ->							str:




		'''simple docstring'''
		if not all(char in '01' for char in bin_string			):
				raise ValueError('Non-binary value was passed to the function'			)
		if not bin_string:
				raise ValueError('Empty string was passed to the function'			)
		lowercase__					:      Tuple      =		''
		while len(_lowercase			) % 3 != 0:
				lowercase__					:      Optional[int]      =		'0' + bin_string
		lowercase__					:      List[Any]      =		[
		    bin_string[index : index + 3]
		    for index in range(len(_lowercase			)			)
		    if index % 3 == 0
		]
		for bin_group in bin_string_in_3_list:
				lowercase__					:      int      =		0
				for index, val in enumerate(_lowercase			):
						oct_val += int(2 ** (2 - index) * int(_lowercase			)			)
				oct_string += str(_lowercase			)
		return oct_string


if __name__ == "__main__":
			from doctest import testmod

			testmod()


