




from collections import OrderedDict
from typing import Mapping

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


lowercase_     :    int      =			logging.get_logger(__name__)

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






class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			Union[str, Any]								=					"mega"







			def __init__(	self   :      Any   ,   snake_case__   :      str=30_522   ,   snake_case__   :      Union[str, Any]=128   ,   snake_case__   :      str=4   ,   snake_case__   :      List[str]=256   ,   snake_case__   :      Dict=16   ,   snake_case__   :      int=True   ,   snake_case__   :      str=64   ,   snake_case__   :      List[str]=False   ,   snake_case__   :      Tuple=-1   ,   snake_case__   :      str=None   ,   snake_case__   :      Any=True   ,   snake_case__   :      Dict="scalenorm"   ,   snake_case__   :      List[Any]=True   ,   snake_case__   :      int="silu"   ,   snake_case__   :      List[Any]="softmax"   ,   snake_case__   :      Optional[Any]=0.1   ,   snake_case__   :      Dict=0.1   ,   snake_case__   :      int=0.1   ,   snake_case__   :      Optional[int]=False   ,   snake_case__   :      List[str]=True   ,   snake_case__   :      str=256   ,   snake_case__   :      Any=True   ,   snake_case__   :      Optional[int]=0.1   ,   snake_case__   :      Optional[Any]=2_048   ,   snake_case__   :      Union[str, Any]=False   ,   snake_case__   :      Tuple=2   ,   snake_case__   :      Optional[Any]=0.02   ,   snake_case__   :      str=0.2   ,   snake_case__   :      int=0.02   ,   snake_case__   :      Union[str, Any]=1.0   ,   snake_case__   :      List[Any]=1   ,   snake_case__   :      Dict=0   ,   snake_case__   :      Dict=2   ,   snake_case__   :      Optional[int]="rotary"   ,   snake_case__   :      List[str]=None   ,   snake_case__   :      List[str]=True   ,   snake_case__   :      str=True   ,   **snake_case__   :      Any   ,   ):




									"""simple docstring"""


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

									_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    __lowerCAmelCase			(	UpperCAmelCase__			):







			@property
			def UpperCamelCase      (	self   :      Union[str, Any]				):




									"""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),
									    ]				)










from __future__ import annotations

from collections.abc import Generator


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						if not isinstance(snake_case_     ,   snake_case_						) or n < 1:
												raise Exception("Sequence only defined for positive integers"						)

						yield n
						while n != 1:
												if n % 2 == 0:
																		n //= 2
												else:
																		_UpperCAmelCase													=					3 * n + 1
												yield n


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_UpperCAmelCase													=					43
						_UpperCAmelCase													=					tuple(collatz_sequence(snake_case_						)						)
						print(snake_case_						)
						print(f"""Collatz sequence from {n} took {len(snake_case_						)} steps."""						)


if __name__ == "__main__":
				main()




