


from collections import namedtuple

__snake_case     :   Any            =   namedtuple("from_to", "from_ to")

__snake_case     :   Tuple            =   {
    "cubicmeter": from_to(1, 1),
    "litre": from_to(0.0_0_1, 1_000),
    "kilolitre": from_to(1, 1),
    "gallon": from_to(0.0_0_4_5_4, 264.172),
    "cubicyard": from_to(0.7_6_4_5_5, 1.3_0_7_9_5),
    "cubicfoot": from_to(0.0_2_8, 35.3_147),
    "cup": from_to(0.0_0_0_2_3_6_5_8_8, 4_226.75),
}






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		float       ,  SCREAMING_SNAKE_CASE_   :		str       ,  SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




			if from_type not in METRIC_CONVERSION:
						raise ValueError(
						    f'Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'
						    + """, """.join(SCREAMING_SNAKE_CASE_	)	)
			if to_type not in METRIC_CONVERSION:
						raise ValueError(
						    f'Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'
						    + """, """.join(SCREAMING_SNAKE_CASE_	)	)
			return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
			import doctest

			doctest.testmod()








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


__snake_case            =   logging.get_logger(__name__)

__snake_case            =   {
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}




class    UpperCAmelCase					(       __snake_case    ):
			lowercase						= """markuplm"""




			def __init__(						self							:		Optional[Any]       ,       __magic_name__							:		List[Any]=3_0_5_2_2       ,       __magic_name__							:		int=7_6_8       ,       __magic_name__							:		List[Any]=1_2       ,       __magic_name__							:		List[Any]=1_2       ,       __magic_name__							:		str=3_0_7_2       ,       __magic_name__							:		Optional[int]="gelu"       ,       __magic_name__							:		Dict=0.1       ,       __magic_name__							:		Optional[int]=0.1       ,       __magic_name__							:		Any=5_1_2       ,       __magic_name__							:		List[str]=2       ,       __magic_name__							:		Dict=0.02       ,       __magic_name__							:		List[str]=1e-12       ,       __magic_name__							:		str=0       ,       __magic_name__							:		List[str]=0       ,       __magic_name__							:		Optional[Any]=2       ,       __magic_name__							:		Dict=2_5_6       ,       __magic_name__							:		Tuple=1_0_2_4       ,       __magic_name__							:		Any=2_1_6       ,       __magic_name__							:		str=1_0_0_1       ,       __magic_name__							:		Dict=3_2       ,       __magic_name__							:		Optional[int]=5_0       ,       __magic_name__							:		List[Any]="absolute"       ,       __magic_name__							:		Any=True       ,       __magic_name__							:		Optional[Any]=None       ,       **__magic_name__							:		List[str]       ,       ):







						"""simple docstring"""







						super().__init__(
						    pad_token_id=__magic_name__       ,       bos_token_id=__magic_name__       ,       eos_token_id=__magic_name__       ,       **__magic_name__       ,       )
						UpperCamelCase         =					vocab_size
						UpperCamelCase         =					hidden_size
						UpperCamelCase         =					num_hidden_layers
						UpperCamelCase         =					num_attention_heads
						UpperCamelCase         =					hidden_act
						UpperCamelCase         =					intermediate_size
						UpperCamelCase         =					hidden_dropout_prob
						UpperCamelCase         =					attention_probs_dropout_prob
						UpperCamelCase         =					max_position_embeddings
						UpperCamelCase         =					type_vocab_size
						UpperCamelCase         =					initializer_range
						UpperCamelCase         =					layer_norm_eps
						UpperCamelCase         =					position_embedding_type
						UpperCamelCase         =					use_cache
						UpperCamelCase         =					classifier_dropout
						# additional properties
						UpperCamelCase         =					max_depth
						UpperCamelCase         =					max_xpath_tag_unit_embeddings
						UpperCamelCase         =					max_xpath_subs_unit_embeddings
						UpperCamelCase         =					tag_pad_id
						UpperCamelCase         =					subs_pad_id
						UpperCamelCase         =					xpath_unit_hidden_size




