




from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__		=						logging.get_logger(__name__)

UpperCamelCase__		=						{
    'uw-madison/yoso-4096': 'https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json',
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}


class     __SCREAMING_SNAKE_CASE							(		lowerCamelCase  ):
					_lowerCamelCase		  =			"""yoso"""

					def __init__(    self			,	__lowercase=50_265			,	__lowercase=768			,	__lowercase=12			,	__lowercase=12			,	__lowercase=3_072			,	__lowercase="gelu"			,	__lowercase=0.1			,	__lowercase=0.1			,	__lowercase=4_096			,	__lowercase=1			,	__lowercase=0.02			,	__lowercase=1E-12			,	__lowercase="absolute"			,	__lowercase=True			,	__lowercase=9			,	__lowercase=64			,	__lowercase=None			,	__lowercase=True			,	__lowercase=True			,	__lowercase=1			,	__lowercase=0			,	__lowercase=2			,	**__lowercase			,	):







						'''simple docstring'''




						super().__init__(pad_token_id=__lowercase			,	bos_token_id=__lowercase			,	eos_token_id=__lowercase			,	**__lowercase )

						lowerCamelCase_							:		Union[str, Any]							       =							vocab_size
						lowerCamelCase_							:		Dict							       =							max_position_embeddings
						lowerCamelCase_							:		Union[str, Any]							       =							hidden_size
						lowerCamelCase_							:		Any							       =							num_hidden_layers
						lowerCamelCase_							:		Optional[Any]							       =							num_attention_heads
						lowerCamelCase_							:		int							       =							intermediate_size
						lowerCamelCase_							:		int							       =							hidden_act
						lowerCamelCase_							:		List[str]							       =							hidden_dropout_prob
						lowerCamelCase_							:		List[Any]							       =							attention_probs_dropout_prob
						lowerCamelCase_							:		Any							       =							initializer_range
						lowerCamelCase_							:		List[Any]							       =							type_vocab_size
						lowerCamelCase_							:		List[str]							       =							layer_norm_eps
						lowerCamelCase_							:		List[Any]							       =							position_embedding_type
						lowerCamelCase_							:		int							       =							use_expectation
						lowerCamelCase_							:		Optional[Any]							       =							hash_code_len
						lowerCamelCase_							:		Tuple							       =							num_hash
						lowerCamelCase_							:		Any							       =							conv_window
						lowerCamelCase_							:		Optional[int]							       =							use_fast_hash
						lowerCamelCase_							:		Union[str, Any]							       =							lsh_backward






UpperCamelCase__		=						{
    "kilogram": 1,
    "gram": pow(1_0, 3),
    "milligram": pow(1_0, 6),
    "metric-ton": pow(1_0, -3),
    "long-ton": 0.0_009_842_073,
    "short-ton": 0.0_011_023_122,
    "pound": 2.2_046_244_202,
    "stone": 0.1_574_731_728,
    "ounce": 35.273_990_723,
    "carrat": 5_0_0_0,
    "atomic-mass-unit": 6.022136652e26,
}

UpperCamelCase__		=						{
    "kilogram": 1,
    "gram": pow(1_0, -3),
    "milligram": pow(1_0, -6),
    "metric-ton": pow(1_0, 3),
    "long-ton": 1_016.04_608,
    "short-ton": 907.184,
    "pound": 0.453_592,
    "stone": 6.35_029,
    "ounce": 0.0_283_495,
    "carrat": 0.0_002,
    "atomic-mass-unit": 1.660540199e-27,
}






def  snake_case (							A						,       A						,       A      )							->							float:




	'''simple docstring'''


	if to_type not in KILOGRAM_CHART or from_type not in WEIGHT_TYPE_CHART:
		lowerCamelCase_							:		Union[str, Any]							       =							(
		    f"Invalid 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"
		    f"Supported values are: {', '.join(A      )}"
		)
		raise ValueError(A      )
	return value * KILOGRAM_CHART[to_type] * WEIGHT_TYPE_CHART[from_type]


if __name__ == "__main__":
							import doctest

							doctest.testmod()
