from __future__ import annotations

def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			list[int]:
							if not list_of_ints:
														return []

							if min(snake_case__							) < 0:
														raise ValueError('''All numbers must be positive'''							)

							lowerCAmelCase				=	max(len(bin(snake_case__							)[2:]							) for x in list_of_ints							)
							return _msd_radix_sort(snake_case__     ,						snake_case__							)

def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			list[int]:
							if bit_position == 0 or len(snake_case__							) in [0, 1]:
														return list_of_ints

							lowerCAmelCase				=	[]
							lowerCAmelCase				=	[]
							# Split numbers based on bit at bit_position from the right
							for number in list_of_ints:
														if (number >> (bit_position - 1)) & 1:
																					# number has a one at bit bit_position
																					ones.append(snake_case__							)
														else:
																					# number has a zero at bit bit_position
																					zeros.append(snake_case__							)

    # recursively split both lists further
							lowerCAmelCase				=	_msd_radix_sort(snake_case__     ,						bit_position - 1							)
							lowerCAmelCase				=	_msd_radix_sort(snake_case__     ,						bit_position - 1							)

							# recombine lists
							lowerCAmelCase				=	zeros
							res.extend(snake_case__							)

							return res

def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			Any:
							lowerCAmelCase				=	len(snake_case__							)
							if not list_of_ints or length == 1:
														return

							if min(snake_case__							) < 0:
														raise ValueError('''All numbers must be positive'''							)

							lowerCAmelCase				=	max(len(bin(snake_case__							)[2:]							) for x in list_of_ints							)
							_msd_radix_sort_inplace(snake_case__     ,						snake_case__     ,						0     ,						snake_case__							)

def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__     ,						snake_case__     ,						snake_case__							)  ->			Dict:
							if bit_position == 0 or end_index - begin_index <= 1:
														return

							bit_position -= 1

							lowerCAmelCase				=	begin_index
							lowerCAmelCase				=	end_index - 1
							while i <= j:
														lowerCAmelCase				=	False
														if not (list_of_ints[i] >> bit_position) & 1:
																					# found zero at the beginning
																					i += 1
																					lowerCAmelCase				=	True
														if (list_of_ints[j] >> bit_position) & 1:
																					# found one at the end
																					j -= 1
																					lowerCAmelCase				=	True

														if changed:
																					continue

														lowerCAmelCase	,   lowerCAmelCase				=	list_of_ints[j], list_of_ints[i]
														j -= 1
														if j != i:
																					i += 1

							_msd_radix_sort_inplace(snake_case__     ,						snake_case__     ,						snake_case__     ,						snake_case__							)
							_msd_radix_sort_inplace(snake_case__     ,						snake_case__     ,						snake_case__     ,						snake_case__							)


if __name__ == "__main__":
	import doctest

	doctest.testmod()




from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__    :       Optional[Any]						=			logging.get_logger(__name__)

lowercase__    :       Union[str, Any]						=			{
    '''microsoft/prophetnet-large-uncased''': (
        '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
    ),
}




class      lowercase_						(						UpperCamelCase_		):



	"""simple docstring"""





	UpperCAmelCase_						:      Optional[int]     =       """prophetnet"""
	UpperCAmelCase_						:      Optional[int]     =       ["""past_key_values"""]
	UpperCAmelCase_						:      Any     =       {
	    """num_attention_heads""": """num_encoder_attention_heads""",
	}


	def __init__(							self	,    __SCREAMING_SNAKE_CASE = 0.1	,    __SCREAMING_SNAKE_CASE = "gelu"	,    __SCREAMING_SNAKE_CASE = 30522	,    __SCREAMING_SNAKE_CASE = 1024	,    __SCREAMING_SNAKE_CASE = 4096	,    __SCREAMING_SNAKE_CASE = 12	,    __SCREAMING_SNAKE_CASE = 16	,    __SCREAMING_SNAKE_CASE = 4096	,    __SCREAMING_SNAKE_CASE = 12	,    __SCREAMING_SNAKE_CASE = 16	,    __SCREAMING_SNAKE_CASE = 0.1	,    __SCREAMING_SNAKE_CASE = 0.1	,    __SCREAMING_SNAKE_CASE = 512	,    __SCREAMING_SNAKE_CASE = 0.0_2	,    __SCREAMING_SNAKE_CASE = True	,    __SCREAMING_SNAKE_CASE = True	,    __SCREAMING_SNAKE_CASE = 0	,    __SCREAMING_SNAKE_CASE = 2	,    __SCREAMING_SNAKE_CASE = 32	,    __SCREAMING_SNAKE_CASE = 128	,    __SCREAMING_SNAKE_CASE = False	,    __SCREAMING_SNAKE_CASE = 0.0	,    __SCREAMING_SNAKE_CASE = True	,    __SCREAMING_SNAKE_CASE = 0	,    __SCREAMING_SNAKE_CASE = 1	,    __SCREAMING_SNAKE_CASE = 2	,    **__SCREAMING_SNAKE_CASE	,    )		->int:
								lowerCAmelCase				=	vocab_size
								lowerCAmelCase				=	hidden_size
								lowerCAmelCase				=	encoder_ffn_dim
								lowerCAmelCase				=	num_encoder_layers
								lowerCAmelCase				=	num_encoder_attention_heads
								lowerCAmelCase				=	decoder_ffn_dim
								lowerCAmelCase				=	num_decoder_layers
								lowerCAmelCase				=	num_decoder_attention_heads
								lowerCAmelCase				=	max_position_embeddings
								lowerCAmelCase				=	init_std  # Normal(0, this parameter)
								lowerCAmelCase				=	activation_function

								# parameters for prophetnet
								lowerCAmelCase				=	ngram
								lowerCAmelCase				=	num_buckets
								lowerCAmelCase				=	relative_max_distance
								lowerCAmelCase				=	disable_ngram_loss
								lowerCAmelCase				=	eps

								# 3 Types of Dropout
								lowerCAmelCase				=	attention_dropout
								lowerCAmelCase				=	activation_dropout
								lowerCAmelCase				=	dropout

								lowerCAmelCase				=	use_cache

								super().__init__(
								    pad_token_id=__SCREAMING_SNAKE_CASE	,    bos_token_id=__SCREAMING_SNAKE_CASE	,    eos_token_id=__SCREAMING_SNAKE_CASE	,    is_encoder_decoder=__SCREAMING_SNAKE_CASE	,    add_cross_attention=__SCREAMING_SNAKE_CASE	,    decoder_start_token_id=__SCREAMING_SNAKE_CASE	,    **__SCREAMING_SNAKE_CASE	,    )


	@property
	def     SCREAMING_SNAKE_CASE_       (							self       )		->int:
								return self.num_encoder_layers + self.num_decoder_layers




	@num_hidden_layers.setter
	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE       )		->Union[str, Any]:
								raise NotImplementedError(
								    '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
								    ''' `num_decoder_layers`.'''       )



