"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_    :    List[str]											=						logging.get_logger(__name__)

UpperCamelCase_    :    Union[str, Any]											=						{
    """mnaylor/mega-base-wikitext""": """https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json""",
}


class      _lowercase						(				__lowerCamelCase					):
				lowerCamelCase__									=    'mega'

				def __init__(       self    :      Optional[int]    ,      _lowercase    :      Union[str, Any]=3_0_5_2_2    ,      _lowercase    :      Tuple=1_2_8    ,      _lowercase    :      Any=4    ,      _lowercase    :      List[Any]=2_5_6    ,      _lowercase    :      int=1_6    ,      _lowercase    :      Tuple=True    ,      _lowercase    :      Union[str, Any]=6_4    ,      _lowercase    :      List[Any]=False    ,      _lowercase    :      Optional[Any]=-1    ,      _lowercase    :      Tuple=None    ,      _lowercase    :      int=True    ,      _lowercase    :      List[Any]="scalenorm"    ,      _lowercase    :      Tuple=True    ,      _lowercase    :      Union[str, Any]="silu"    ,      _lowercase    :      Tuple="softmax"    ,      _lowercase    :      int=0.1    ,      _lowercase    :      str=0.1    ,      _lowercase    :      Tuple=0.1    ,      _lowercase    :      Any=False    ,      _lowercase    :      str=True    ,      _lowercase    :      Optional[Any]=2_5_6    ,      _lowercase    :      Dict=True    ,      _lowercase    :      str=0.1    ,      _lowercase    :      Tuple=2_0_4_8    ,      _lowercase    :      List[str]=False    ,      _lowercase    :      Tuple=2    ,      _lowercase    :      int=0.02    ,      _lowercase    :      Tuple=0.2    ,      _lowercase    :      Any=0.02    ,      _lowercase    :      Optional[Any]=1.0    ,      _lowercase    :      List[str]=1    ,      _lowercase    :      List[str]=0    ,      _lowercase    :      Dict=2    ,      _lowercase    :      List[str]="rotary"    ,      _lowercase    :      List[str]=None    ,      _lowercase    :      List[Any]=True    ,      _lowercase    :      Optional[Any]=True    ,      **_lowercase    :      List[str]    ,      ):


										'''simple docstring'''
										super().__init__(pad_token_id=_lowercase    ,      bos_token_id=_lowercase    ,      eos_token_id=_lowercase    ,      **_lowercase       )

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


class      _lowercase						(				__lowerCamelCase					):

				@property
				def     A	(       self    :      Dict       ):


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


"""simple docstring"""







from __future__ import annotations


def 					a__ (						UpperCAmelCase__    :     int     )->		list[int]:
						assert (
						    isinstance(UpperCAmelCase__						,     UpperCAmelCase__     ) and mask > 0
						), f'mask needs to be positive integer, your input {mask}'
						UpperCAmelCase__   		=						[]
						UpperCAmelCase__   		=						mask

						while submask:
												all_submasks.append(UpperCAmelCase__     )
												UpperCAmelCase__   		=						(submask - 1) & mask

						return all_submasks


if __name__ == "__main__":
						import doctest

						doctest.testmod()

