






'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	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_      :   Any        =			''
						while len(a							) % 3 != 0:
												lowercase_      :   str        =			'0' + bin_string
						lowercase_      :   Any        =			[
						    bin_string[index : index + 3]
						    for index in range(len(a							)							)
						    if index % 3 == 0
						]
						for bin_group in bin_string_in_3_list:
												lowercase_      :   Optional[Any]        =			0
												for index, val in enumerate(a							):
																		oct_val += int(2 ** (2 - index) * int(a							)							)
												oct_string += str(a							)
						return oct_string


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

						testmod()








'''simple docstring'''

from typing import TYPE_CHECKING

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


A:      int  				=				{
    "configuration_trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A:      Union[str, Any]  				=				[
						    "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "TrajectoryTransformerModel",
						    "TrajectoryTransformerPreTrainedModel",
						    "load_tf_weights_in_trajectory_transformer",
						]


if TYPE_CHECKING:
						from .configuration_trajectory_transformer import (
						    TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    TrajectoryTransformerConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_trajectory_transformer import (
												    TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TrajectoryTransformerModel,
												    TrajectoryTransformerPreTrainedModel,
												    load_tf_weights_in_trajectory_transformer,
												)


else:
						import sys

						A:      int  				=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
