





from __future__ import annotations

from typing import Any

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase = 6	):
										lowerCamelCase__       =       None
										lowerCamelCase__       =       None
										self.create_linked_list(_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       Node()
										lowerCamelCase__       =       current_node
										lowerCamelCase__       =       current_node
										lowerCamelCase__       =       current_node
										for _ in range(1	,  _lowerCAmelCase	):
															lowerCamelCase__       =       Node()
															lowerCamelCase__       =       current_node
															lowerCamelCase__       =       previous_node
															lowerCamelCase__       =       current_node
										lowerCamelCase__       =       self.front
										lowerCamelCase__       =       previous_node





					def 					__magic_name__ ( self	):
										return (
										    self.front == self.rear
										    and self.front is not None
										    and self.front.data is None
										)





					def 					__magic_name__ ( self	):
										self.check_can_perform_operation()
										return self.front.data if self.front else None





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										if self.rear is None:
															return

										self.check_is_full()
										if not self.is_empty():
															lowerCamelCase__       =       self.rear.next
										if self.rear:
															lowerCamelCase__       =       data





					def 					__magic_name__ ( self	):
										self.check_can_perform_operation()
										if self.rear is None or self.front is None:
															return None
										if self.front == self.rear:
															lowerCamelCase__       =       self.front.data
															lowerCamelCase__       =       None
															return data

										lowerCamelCase__       =       self.front
										lowerCamelCase__       =       old_front.next
										lowerCamelCase__       =       old_front.data
										lowerCamelCase__       =       None
										return data





					def 					__magic_name__ ( self	):
										if self.is_empty():
															raise Exception("Empty Queue"	)






					def 					__magic_name__ ( self	):
										if self.rear and self.rear.next == self.front:
															raise Exception("Full Queue"	)

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


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


if __name__ == "__main__":
						import doctest

						doctest.testmod()








from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


A_												=     {
    "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/config.json",
    "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/config.json",
    "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/config.json",
    "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json",
    "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/config.json",
    "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/config.json",
    "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/config.json",
    "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json",
}

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    "albert"





					def __init__( self	,  _lowerCAmelCase=3_0000	,  _lowerCAmelCase=128	,  _lowerCAmelCase=4096	,  _lowerCAmelCase=12	,  _lowerCAmelCase=1	,  _lowerCAmelCase=64	,  _lowerCAmelCase=1_6384	,  _lowerCAmelCase=1	,  _lowerCAmelCase="gelu_new"	,  _lowerCAmelCase=0	,  _lowerCAmelCase=0	,  _lowerCAmelCase=512	,  _lowerCAmelCase=2	,  _lowerCAmelCase=0.02	,  _lowerCAmelCase=1E-12	,  _lowerCAmelCase=0.1	,  _lowerCAmelCase="absolute"	,  _lowerCAmelCase=0	,  _lowerCAmelCase=2	,  _lowerCAmelCase=3	,  **_lowerCAmelCase	,  ):
										super().__init__(pad_token_id=_lowerCAmelCase	,  bos_token_id=_lowerCAmelCase	,  eos_token_id=_lowerCAmelCase	,  **_lowerCAmelCase	)

										lowerCamelCase__       =       vocab_size
										lowerCamelCase__       =       embedding_size
										lowerCamelCase__       =       hidden_size
										lowerCamelCase__       =       num_hidden_layers
										lowerCamelCase__       =       num_hidden_groups
										lowerCamelCase__       =       num_attention_heads
										lowerCamelCase__       =       inner_group_num
										lowerCamelCase__       =       hidden_act
										lowerCamelCase__       =       intermediate_size
										lowerCamelCase__       =       hidden_dropout_prob
										lowerCamelCase__       =       attention_probs_dropout_prob
										lowerCamelCase__       =       max_position_embeddings
										lowerCamelCase__       =       type_vocab_size
										lowerCamelCase__       =       initializer_range
										lowerCamelCase__       =       layer_norm_eps
										lowerCamelCase__       =       classifier_dropout_prob
										lowerCamelCase__       =       position_embedding_type

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


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

