"""simple docstring"""


from __future__ import annotations

from typing import Any






class    __UpperCAmelCase						:

				def __init__(      self	, _lowerCamelCase	, _lowerCamelCase      ):  # noqa: A002
										lowerCamelCase__					=item
										lowerCamelCase__					=next






class    __UpperCAmelCase						:

				def __init__(      self      ):
										lowerCamelCase__					=None
										lowerCamelCase__					=0

				def 		_a	(      self	, _lowerCamelCase      ):
										lowerCamelCase__					=Node(_lowerCamelCase	, self.head      )
										self.size += 1

				def 		_a	(      self      ):
										# Switched 'self.is_empty()' to 'self.head is None'
										# because mypy was considering the possibility that 'self.head'
										# can be None in below else part and giving error
										if self.head is None:
																return None
										else:
																lowerCamelCase__					=self.head.item
																lowerCamelCase__					=self.head.next
																self.size -= 1
																return item

				def 		_a	(      self      ):
										return self.head is None

				def __str__(      self      ):
										if self.is_empty():
																return ""
										else:
																lowerCamelCase__					=self.head
																lowerCamelCase__					=""
																lowerCamelCase__					=[]
																while iterate:
																						item_list.append(str(iterate.item      )      )
																						lowerCamelCase__					=iterate.next

																lowerCamelCase__					=" --> ".join(_lowerCamelCase      )

																return item_str






				def __len__(      self      ):
										return self.size



"""simple docstring"""


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


a							=logging.get_logger(__name__)

a							={
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}






class    __UpperCAmelCase						(	__lowerCAmelCase	):
				A__      :   Optional[int]  							=       '''mpnet'''

				def __init__(      self	, _lowerCamelCase=30527	, _lowerCamelCase=768	, _lowerCamelCase=12	, _lowerCamelCase=12	, _lowerCamelCase=3072	, _lowerCamelCase="gelu"	, _lowerCamelCase=0.1	, _lowerCamelCase=0.1	, _lowerCamelCase=512	, _lowerCamelCase=0.0_2	, _lowerCamelCase=1E-12	, _lowerCamelCase=32	, _lowerCamelCase=1	, _lowerCamelCase=0	, _lowerCamelCase=2	, **_lowerCamelCase	, ):
										super().__init__(pad_token_id=_lowerCamelCase	, bos_token_id=_lowerCamelCase	, eos_token_id=_lowerCamelCase	, **_lowerCamelCase      )

										lowerCamelCase__					=vocab_size
										lowerCamelCase__					=hidden_size
										lowerCamelCase__					=num_hidden_layers
										lowerCamelCase__					=num_attention_heads
										lowerCamelCase__					=hidden_act
										lowerCamelCase__					=intermediate_size
										lowerCamelCase__					=hidden_dropout_prob
										lowerCamelCase__					=attention_probs_dropout_prob
										lowerCamelCase__					=max_position_embeddings
										lowerCamelCase__					=initializer_range
										lowerCamelCase__					=layer_norm_eps
										lowerCamelCase__					=relative_attention_num_buckets


