from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE						:    Union[str, Any]     = logging.get_logger(__name__)

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



class    lowercase_    (     __snake_case		):
							_lowerCamelCase						=		'mega'



							def __init__(						self      ,				lowercase_=30_522      ,				lowercase_=128      ,				lowercase_=4      ,				lowercase_=256      ,				lowercase_=16      ,				lowercase_=True      ,				lowercase_=64      ,				lowercase_=False      ,				lowercase_=-1      ,				lowercase_=None      ,				lowercase_=True      ,				lowercase_="scalenorm"      ,				lowercase_=True      ,				lowercase_="silu"      ,				lowercase_="softmax"      ,				lowercase_=0.1      ,				lowercase_=0.1      ,				lowercase_=0.1      ,				lowercase_=False      ,				lowercase_=True      ,				lowercase_=256      ,				lowercase_=True      ,				lowercase_=0.1      ,				lowercase_=2_048      ,				lowercase_=False      ,				lowercase_=2      ,				lowercase_=0.02      ,				lowercase_=0.2      ,				lowercase_=0.02      ,				lowercase_=1.0      ,				lowercase_=1      ,				lowercase_=0      ,				lowercase_=2      ,				lowercase_="rotary"      ,				lowercase_=None      ,				lowercase_=True      ,				lowercase_=True      ,				**lowercase_      ,				):
													super().__init__(pad_token_id=lowercase_      ,				bos_token_id=lowercase_      ,				eos_token_id=lowercase_      ,				**lowercase_				)

													_snake_case						:     int				=    vocab_size
													_snake_case						:     Tuple				=    hidden_size
													_snake_case						:     Optional[int]				=    num_hidden_layers
													_snake_case						:     List[Any]				=    activation
													_snake_case						:     Tuple				=    attention_activation
													_snake_case						:     List[str]				=    intermediate_size
													_snake_case						:     Union[str, Any]				=    ema_projection_size
													_snake_case						:     List[Any]				=    bidirectional
													_snake_case						:     Optional[int]				=    shared_representation_size
													_snake_case						:     Tuple				=    use_chunking
													_snake_case						:     int				=    chunk_size
													_snake_case						:     Tuple				=    truncation
													_snake_case						:     Dict				=    normalize_before_mega
													_snake_case						:     str				=    normalization_type
													_snake_case						:     Any				=    norm_affine
													_snake_case						:     str				=    dropout_prob
													_snake_case						:     Tuple				=    hidden_dropout_prob
													_snake_case						:     int				=    attention_probs_dropout_prob
													_snake_case						:     Optional[Any]				=    use_feature_dropout
													_snake_case						:     Optional[int]				=    use_normalized_ffn
													_snake_case						:     Optional[Any]				=    nffn_hidden_size
													_snake_case						:     str				=    normalize_before_ffn
													_snake_case						:     Union[str, Any]				=    nffn_activation_dropout_prob
													_snake_case						:     Dict				=    max_positions
													_snake_case						:     int				=    add_token_type_embeddings
													_snake_case						:     str				=    type_vocab_size
													_snake_case						:     int				=    initializer_range
													_snake_case						:     str				=    ema_delta_alpha_range
													_snake_case						:     Optional[int]				=    ema_beta_range
													_snake_case						:     List[str]				=    ema_gamma_omega_range
													_snake_case						:     Optional[int]				=    relative_positional_bias
													_snake_case						:     int				=    use_cache
													_snake_case						:     Tuple				=    classifier_dropout
													_snake_case						:     int				=    add_lm_hidden_dense_layer
													_snake_case						:     Any				=    1  # not used but required by Hugging Face




class    lowercase_    (     __snake_case		):



							@property
							def        UpperCamelCase       (						self				):
													if self.task == "multiple-choice":
																			_snake_case						:     Optional[int]				=    {0: "batch", 1: "choice", 2: "sequence"}
													else:
																			_snake_case						:     int				=    {0: "batch", 1: "sequence"}
													return OrderedDict(
													    [
													        ("input_ids", dynamic_axis),
													        ("attention_mask", dynamic_axis),
													    ]				)







"""simple docstring"""







def 						lowercase__(A						)				->int:




						"""simple docstring"""



						lowercase__				:      str=       0
						for plain_chr in plain_text:
												lowercase__				:      List[str]=       (
												    ord(A						) + (hash_value << 6) + (hash_value << 16) - hash_value
												)
						return hash_value






