


"""simple docstring"""







from __future__ import annotations

from enum import Enum
class 				lowerCamelCase							(      __SCREAMING_SNAKE_CASE			):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE              =   24
							SCREAMING_SNAKE_CASE              =   21
							SCREAMING_SNAKE_CASE              =   18
							SCREAMING_SNAKE_CASE              =   15
							SCREAMING_SNAKE_CASE              =   12
							SCREAMING_SNAKE_CASE              =   9
							SCREAMING_SNAKE_CASE              =   6
							SCREAMING_SNAKE_CASE              =   3
							SCREAMING_SNAKE_CASE              =   2
							SCREAMING_SNAKE_CASE              =   1
							SCREAMING_SNAKE_CASE              =   -1
							SCREAMING_SNAKE_CASE              =   -2
							SCREAMING_SNAKE_CASE              =   -3
							SCREAMING_SNAKE_CASE              =   -6
							SCREAMING_SNAKE_CASE              =   -9
							SCREAMING_SNAKE_CASE              =   -12
							SCREAMING_SNAKE_CASE              =   -15
							SCREAMING_SNAKE_CASE              =   -18
							SCREAMING_SNAKE_CASE              =   -21
							SCREAMING_SNAKE_CASE              =   -24




class 				lowerCamelCase							(      __SCREAMING_SNAKE_CASE			):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE              =   8
							SCREAMING_SNAKE_CASE              =   7
							SCREAMING_SNAKE_CASE              =   6
							SCREAMING_SNAKE_CASE              =   5
							SCREAMING_SNAKE_CASE              =   4
							SCREAMING_SNAKE_CASE              =   3
							SCREAMING_SNAKE_CASE              =   2
							SCREAMING_SNAKE_CASE              =   1






def        a__			(							_UpperCamelCase						,      _UpperCamelCase						,      _UpperCamelCase						,      ):





						"""simple docstring"""

						if isinstance(_UpperCamelCase						,      _UpperCamelCase			):
												UpperCAmelCase__												=     SIUnit[known_prefix.lower()]
						if isinstance(_UpperCamelCase						,      _UpperCamelCase			):
												UpperCAmelCase__												=     SIUnit[unknown_prefix.lower()]
						UpperCAmelCase__												=     known_amount * (
						    10 ** (known_prefix.value - unknown_prefix.value)
						)
						return unknown_amount






def        a__			(							_UpperCamelCase						,      _UpperCamelCase						,      _UpperCamelCase						,      ):





						"""simple docstring"""

						if isinstance(_UpperCamelCase						,      _UpperCamelCase			):
												UpperCAmelCase__												=     BinaryUnit[known_prefix.lower()]
						if isinstance(_UpperCamelCase						,      _UpperCamelCase			):
												UpperCAmelCase__												=     BinaryUnit[unknown_prefix.lower()]
						UpperCAmelCase__												=     known_amount * (
						    2 ** ((known_prefix.value - unknown_prefix.value) * 10)
						)
						return unknown_amount


if __name__ == "__main__":
						import doctest

						doctest.testmod()



"""simple docstring"""







from typing import TYPE_CHECKING

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


__a      			= {"configuration_bert_generation": ["BertGenerationConfig"]}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      			= ["BertGenerationTokenizer"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      			= [
						    "BertGenerationDecoder",
						    "BertGenerationEncoder",
						    "BertGenerationPreTrainedModel",
						    "load_tf_weights_in_bert_generation",
						]


if TYPE_CHECKING:
						from .configuration_bert_generation import BertGenerationConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_bert_generation import BertGenerationTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_bert_generation import (
												    BertGenerationDecoder,
												    BertGenerationEncoder,
												    BertGenerationPreTrainedModel,
												    load_tf_weights_in_bert_generation,
												)

else:
						import sys

						__a      			= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)