



from collections import OrderedDict
from typing import Mapping

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


__UpperCAmelCase    	=  logging.get_logger(__name__)

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


class 						lowerCamelCase__			(		lowerCAmelCase__ ):
						_lowerCAmelCase             =			'''mega'''


						def __init__(			self    :	List[Any]   ,							_a    :	int=3_0_5_2_2   ,							_a    :	Dict=1_2_8   ,							_a    :	Optional[Any]=4   ,							_a    :	Tuple=2_5_6   ,							_a    :	Dict=1_6   ,							_a    :	Dict=True   ,							_a    :	Union[str, Any]=6_4   ,							_a    :	List[Any]=False   ,							_a    :	List[str]=-1   ,							_a    :	Optional[int]=None   ,							_a    :	Dict=True   ,							_a    :	Dict="scalenorm"   ,							_a    :	str=True   ,							_a    :	str="silu"   ,							_a    :	Optional[int]="softmax"   ,							_a    :	List[str]=0.1   ,							_a    :	Optional[int]=0.1   ,							_a    :	Union[str, Any]=0.1   ,							_a    :	List[Any]=False   ,							_a    :	List[Any]=True   ,							_a    :	Any=2_5_6   ,							_a    :	str=True   ,							_a    :	Optional[Any]=0.1   ,							_a    :	Any=2_0_4_8   ,							_a    :	Any=False   ,							_a    :	str=2   ,							_a    :	int=0.0_2   ,							_a    :	int=0.2   ,							_a    :	Union[str, Any]=0.0_2   ,							_a    :	List[str]=1.0   ,							_a    :	Any=1   ,							_a    :	Union[str, Any]=0   ,							_a    :	Optional[int]=2   ,							_a    :	Dict="rotary"   ,							_a    :	Dict=None   ,							_a    :	int=True   ,							_a    :	str=True   ,							**_a    :	List[str]   ,							):
													super().__init__(pad_token_id=snake_case__   ,							bos_token_id=snake_case__   ,							eos_token_id=snake_case__   ,							**snake_case__      )

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


class 						lowerCamelCase__			(		lowerCAmelCase__ ):


						@property
						def 	_lowerCamelCase      (			self    :	Dict      ):





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







import functools
from math import sqrt
from time import time

def    UpperCamelCase_ (	a_  ,				*a_  ,				**a_		)     ->List[Any]:
		A				=time()
		A				=func(*a_  ,				**a_		)
		A				=time()
		if int(end - start		) > 0:
				print(f'''{func.__name__} runtime: {(end - start):0.4f} s'''		)
		else:
				print(f'''{func.__name__} runtime: {(end - start) * 1000:0.4f} ms'''		)
		return output

def    UpperCamelCase_ (	a_		)     ->list[int]:
		if n < 0:
				raise Exception("n is negative"		)
		if n == 0:
				return [0]
		A				=[0, 1]
		for _ in range(n - 1		):
				fib.append(fib[-1] + fib[-2]		)
		return fib

def    UpperCamelCase_ (	a_		)     ->list[int]:

		def fib_recursive_term(a_		) -> int:
				if i < 0:
						raise Exception("n is negative"		)
				if i < 2:
						return i
				return fib_recursive_term(i - 1		) + fib_recursive_term(i - 2		)

		if n < 0:
				raise Exception("n is negative"		)
		return [fib_recursive_term(a_		) for i in range(n + 1		)]

def    UpperCamelCase_ (	a_		)     ->list[int]:

		@functools.cache
		def fib_recursive_term(a_		) -> int:
				if i < 0:
						raise Exception("n is negative"		)
				if i < 2:
						return i
				return fib_recursive_term(i - 1		) + fib_recursive_term(i - 2		)

		if n < 0:
				raise Exception("n is negative"		)
		return [fib_recursive_term(a_		) for i in range(n + 1		)]

def    UpperCamelCase_ (	a_		)     ->list[int]:
		if n < 0:
				raise Exception("n is negative"		)
		# Cache must be outside recursuive function
		# other it will reset every time it calls itself.
		A				={0: 0, 1: 1, 2: 1}  # Prefilled cache

		def rec_fn_memoized(a_		) -> int:
				if num in cache:
						return cache[num]

				A				=rec_fn_memoized(num - 1		) + rec_fn_memoized(num - 2		)
				A				=value
				return value

		return [rec_fn_memoized(a_		) for i in range(n + 1		)]

def    UpperCamelCase_ (	a_		)     ->list[int]:
		if n < 0:
				raise Exception("n is negative"		)
		if n >= 1475:
				raise Exception("n is too large"		)
		A				=sqrt(5		)
		A				=(1 + sqrt_a) / 2
		return [round(phi**i / sqrt_a		) for i in range(n + 1		)]


if __name__ == "__main__":
	__a							  =						3_0
	time_func(fib_iterative, num)
	time_func(fib_recursive, num)  # Around 3s runtime
	time_func(fib_recursive_cached, num)  # Around 0ms runtime
	time_func(fib_memoization, num)
	time_func(fib_binet, num)




