



"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE     :  List[Any]										=					logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :  str										=					{
    """mnaylor/mega-base-wikitext""": """https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json""",
}


class 							lowerCamelCase_(      lowerCAmelCase_			):





					'''simple docstring'''



					lowercase__      :				List[Any]        =       """mega"""

					def __init__(			self ,				lowerCamelCase__=3_0_5_2_2 ,				lowerCamelCase__=1_2_8 ,				lowerCamelCase__=4 ,				lowerCamelCase__=2_5_6 ,				lowerCamelCase__=1_6 ,				lowerCamelCase__=True ,				lowerCamelCase__=6_4 ,				lowerCamelCase__=False ,				lowerCamelCase__=-1 ,				lowerCamelCase__=None ,				lowerCamelCase__=True ,				lowerCamelCase__="scalenorm" ,				lowerCamelCase__=True ,				lowerCamelCase__="silu" ,				lowerCamelCase__="softmax" ,				lowerCamelCase__=0.1 ,				lowerCamelCase__=0.1 ,				lowerCamelCase__=0.1 ,				lowerCamelCase__=False ,				lowerCamelCase__=True ,				lowerCamelCase__=2_5_6 ,				lowerCamelCase__=True ,				lowerCamelCase__=0.1 ,				lowerCamelCase__=2_0_4_8 ,				lowerCamelCase__=False ,				lowerCamelCase__=2 ,				lowerCamelCase__=0.0_2 ,				lowerCamelCase__=0.2 ,				lowerCamelCase__=0.0_2 ,				lowerCamelCase__=1.0 ,				lowerCamelCase__=1 ,				lowerCamelCase__=0 ,				lowerCamelCase__=2 ,				lowerCamelCase__="rotary" ,				lowerCamelCase__=None ,				lowerCamelCase__=True ,				lowerCamelCase__=True ,				**lowerCamelCase__ ,				):
									super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE ,				bos_token_id=__SCREAMING_SNAKE_CASE ,				eos_token_id=__SCREAMING_SNAKE_CASE ,				**__SCREAMING_SNAKE_CASE      )

									_lowerCamelCase					     = vocab_size
									_lowerCamelCase					     = hidden_size
									_lowerCamelCase					     = num_hidden_layers
									_lowerCamelCase					     = activation
									_lowerCamelCase					     = attention_activation
									_lowerCamelCase					     = intermediate_size
									_lowerCamelCase					     = ema_projection_size
									_lowerCamelCase					     = bidirectional
									_lowerCamelCase					     = shared_representation_size
									_lowerCamelCase					     = use_chunking
									_lowerCamelCase					     = chunk_size
									_lowerCamelCase					     = truncation
									_lowerCamelCase					     = normalize_before_mega
									_lowerCamelCase					     = normalization_type
									_lowerCamelCase					     = norm_affine
									_lowerCamelCase					     = dropout_prob
									_lowerCamelCase					     = hidden_dropout_prob
									_lowerCamelCase					     = attention_probs_dropout_prob
									_lowerCamelCase					     = use_feature_dropout
									_lowerCamelCase					     = use_normalized_ffn
									_lowerCamelCase					     = nffn_hidden_size
									_lowerCamelCase					     = normalize_before_ffn
									_lowerCamelCase					     = nffn_activation_dropout_prob
									_lowerCamelCase					     = max_positions
									_lowerCamelCase					     = add_token_type_embeddings
									_lowerCamelCase					     = type_vocab_size
									_lowerCamelCase					     = initializer_range
									_lowerCamelCase					     = ema_delta_alpha_range
									_lowerCamelCase					     = ema_beta_range
									_lowerCamelCase					     = ema_gamma_omega_range
									_lowerCamelCase					     = relative_positional_bias
									_lowerCamelCase					     = use_cache
									_lowerCamelCase					     = classifier_dropout
									_lowerCamelCase					     = add_lm_hidden_dense_layer
									_lowerCamelCase					     = 1  # not used but required by Hugging Face


class 							lowerCamelCase_(      lowerCAmelCase_			):





					'''simple docstring'''



					@property
					def 	snake_case__					(			self      ):

									if self.task == "multiple-choice":
													_lowerCamelCase					     = {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
									else:
													_lowerCamelCase					     = {0: '''batch''', 1: '''sequence'''}
									return OrderedDict(
									    [
									        ('''input_ids''', dynamic_axis),
									        ('''attention_mask''', dynamic_axis),
									    ]      )







'''simple docstring'''







from collections import namedtuple

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

_a					: Dict      =    {
    """millimeter""": """mm""",
    """centimeter""": """cm""",
    """meter""": """m""",
    """kilometer""": """km""",
    """inch""": """in""",
    """inche""": """in""",  # Trailing 's' has been stripped off
    """feet""": """ft""",
    """foot""": """ft""",
    """yard""": """yd""",
    """mile""": """mi""",
}

_a					: Optional[Any]      =    {
    """mm""": from_to(0.001, 1_0_0_0),
    """cm""": from_to(0.01, 1_0_0),
    """m""": from_to(1, 1),
    """km""": from_to(1_0_0_0, 0.001),
    """in""": from_to(0.0254, 39.3701),
    """ft""": from_to(0.3048, 3.28084),
    """yd""": from_to(0.9144, 1.09361),
    """mi""": from_to(1609.34, 0.000621371),
}





def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase	)					->					float:
			__lowerCAmelCase											=				from_type.lower().rstrip("""s"""	)
			__lowerCAmelCase											=				TYPE_CONVERSION.get(lowercase					,	lowercase	)
			__lowerCAmelCase											=				to_type.lower().rstrip("""s"""	)
			__lowerCAmelCase											=				TYPE_CONVERSION.get(lowercase					,	lowercase	)
			if new_from not in METRIC_CONVERSION:
						__lowerCAmelCase											=				(
						    f'Invalid \'from_type\' value: {from_type!r}.\n'
						    f'Conversion abbreviations are: {", ".join(lowercase	)}'
						)
						raise ValueError(lowercase	)
			if new_to not in METRIC_CONVERSION:
						__lowerCAmelCase											=				(
						    f'Invalid \'to_type\' value: {to_type!r}.\n'
						    f'Conversion abbreviations are: {", ".join(lowercase	)}'
						)
						raise ValueError(lowercase	)
			return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
	import doctest

	doctest.testmod()

