code: from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  A_:      Optional[Any]        =			logging.get_logger(__name__)
  
  A_:      Optional[int]        =			{
      'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
  }
  
  
  class _lowercase					(       _UpperCAmelCase						):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  							lowerCAmelCase__       =					MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  							lowerCAmelCase__       =					'mobilebert'
  
  
  
  							def __init__(    self     ,   UpperCAmelCase=30522     ,   UpperCAmelCase=512     ,   UpperCAmelCase=24     ,   UpperCAmelCase=4     ,   UpperCAmelCase=512     ,   UpperCAmelCase="relu"     ,   UpperCAmelCase=0.0     ,   UpperCAmelCase=0.1     ,   UpperCAmelCase=512     ,   UpperCAmelCase=2     ,   UpperCAmelCase=0.02     ,   UpperCAmelCase=1e-12     ,   UpperCAmelCase=0     ,   UpperCAmelCase=128     ,   UpperCAmelCase=True     ,   UpperCAmelCase=True     ,   UpperCAmelCase=128     ,   UpperCAmelCase=False     ,   UpperCAmelCase=True     ,   UpperCAmelCase=4     ,   UpperCAmelCase="no_norm"     ,   UpperCAmelCase=True     ,   UpperCAmelCase=None     ,   **UpperCAmelCase     ,   ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														super().__init__(pad_token_id=UpperCAmelCase     ,   **UpperCAmelCase  )
  
  														_lowercase				=	vocab_size
  														_lowercase				=	hidden_size
  														_lowercase				=	num_hidden_layers
  														_lowercase				=	num_attention_heads
  														_lowercase				=	hidden_act
  														_lowercase				=	intermediate_size
  														_lowercase				=	hidden_dropout_prob
  														_lowercase				=	attention_probs_dropout_prob
  														_lowercase				=	max_position_embeddings
  														_lowercase				=	type_vocab_size
  														_lowercase				=	initializer_range
  														_lowercase				=	layer_norm_eps
  														_lowercase				=	embedding_size
  														_lowercase				=	trigram_input
  														_lowercase				=	use_bottleneck
  														_lowercase				=	intra_bottleneck_size
  														_lowercase				=	use_bottleneck_attention
  														_lowercase				=	key_query_shared_bottleneck
  														_lowercase				=	num_feedforward_networks
  														_lowercase				=	normalization_type
  														_lowercase				=	classifier_activation
  
  														if self.use_bottleneck:
  																					_lowercase				=	intra_bottleneck_size
  														else:
  																					_lowercase				=	hidden_size
  
  														_lowercase				=	classifier_dropout
  
  
  
  
  
  
  class _lowercase					(       _UpperCAmelCase						):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  							@property
  							def     _UpperCAmelCase       (    self  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														if self.task == "multiple-choice":
  																					_lowercase				=	{0: """batch""", 1: """choice""", 2: """sequence"""}
  														else:
  																					_lowercase				=	{0: """batch""", 1: """sequence"""}
  														return OrderedDict(
  														    [
  														        ("""input_ids""", dynamic_axis),
  														        ("""attention_mask""", dynamic_axis),
  														        ("""token_type_ids""", dynamic_axis),
  														    ]  )
  
  
  
style_context: import numpy as np
  
  
  def 					__lowerCAmelCase			(  _A ,_A="utf-8" ,_A="surrogatepass"					):
  
  
  
  							"""simple docstring"""
  
  
  							_lowercase				=	bin(int.from_bytes(text.encode(_A ,_A					) ,"""big"""					)					)[2:]
  							return bits.zfill(8 * ((len(_A					) + 7) // 8)					)
  
  
  def 					__lowerCAmelCase			(  _A ,_A="utf-8" ,_A="surrogatepass"					):
  
  
  
  							"""simple docstring"""
  
  
  							_lowercase				=	int(_A ,2					)
  							return n.to_bytes((n.bit_length() + 7) // 8 ,"""big"""					).decode(_A ,_A					) or "\0"
  
  
  def 					__lowerCAmelCase			(  _A ,_A					):
  
  
  
  							"""simple docstring"""
  
  
  							if size_par + len(_A					) <= 2**size_par - (len(_A					) - 1):
  														raise ValueError("""size of parity don't match with size of data"""					)
  
  							_lowercase				=	[]
  							_lowercase				=	[]
  							_lowercase				=	[bin(_A					)[2:] for x in range(1 ,size_par + len(_A					) + 1					)]
  
  							# sorted information data for the size of the output data
  							_lowercase				=	[]
  							# data position template + parity
  							_lowercase				=	[]
  							# parity bit counter
  							_lowercase				=	0
  							# counter position of data bits
  							_lowercase				=	0
  
  							for x in range(1 ,size_par + len(_A					) + 1					):
  														# Performs a template of bit positions - who should be given,
  														# and who should be parity
  														if qtd_bp < size_par:
  																					if (np.log(_A					) / np.log(2					)).is_integer():
  																												data_out_gab.append("""P"""					)
  																												_lowercase				=	qtd_bp + 1
  																					else:
  																												data_out_gab.append("""D"""					)
  														else:
  																					data_out_gab.append("""D"""					)
  
  														# Sorts the data to the new output size
  														if data_out_gab[-1] == "D":
  																					data_ord.append(data[cont_data]					)
  																					cont_data += 1
  														else:
  																					data_ord.append(_A					)
  
      # Calculates parity
  							_lowercase				=	0  # parity bit counter
  							for bp in range(1 ,size_par + 1					):
  														# Bit counter one for a given parity
  														_lowercase				=	0
  														# counter to control the loop reading
  														_lowercase				=	0
  														for x in data_ord:
  																					if x is not None:
  																												try:
  																																			_lowercase				=	(bin_pos[cont_loop])[-1 * (bp)]
  																												except IndexError:
  																																			_lowercase				=	"""0"""
  																												if aux == "1" and x == "1":
  																																			cont_bo += 1
  																					cont_loop += 1
  														parity.append(cont_bo % 2					)
  
  														qtd_bp += 1
  
  							# Mount the message
  							_lowercase				=	0  # parity bit counter
  							for x in range(0 ,size_par + len(_A					)					):
  														if data_ord[x] is None:
  																					data_out.append(str(parity[cont_bp]					)					)
  																					cont_bp += 1
  														else:
  																					data_out.append(data_ord[x]					)
  
  							return data_out
  
  
  def 					__lowerCAmelCase			(  _A ,_A					):
  
  
  
  							"""simple docstring"""
  
  
  							_lowercase				=	[]
  							# Parity bit counter
  							_lowercase				=	0
  							# Counter p data bit reading
  							_lowercase				=	0
  							# list of parity received
  							_lowercase				=	[]
  							_lowercase				=	[]
  
  							for x in range(1 ,len(_A					) + 1					):
  														# Performs a template of bit positions - who should be given,
  														#  and who should be parity
  														if qtd_bp < size_par and (np.log(_A					) / np.log(2					)).is_integer():
  																					data_out_gab.append("""P"""					)
  																					_lowercase				=	qtd_bp + 1
  														else:
  																					data_out_gab.append("""D"""					)
  
  														# Sorts the data to the new output size
  														if data_out_gab[-1] == "D":
  																					data_output.append(data[cont_data]					)
  														else:
  																					parity_received.append(data[cont_data]					)
  														cont_data += 1
  
  							# -----------calculates the parity with the data
  							_lowercase				=	[]
  							_lowercase				=	[]
  							_lowercase				=	[bin(_A					)[2:] for x in range(1 ,size_par + len(_A					) + 1					)]
  
  							#  sorted information data for the size of the output data
  							_lowercase				=	[]
  							# Data position feedback + parity
  							_lowercase				=	[]
  							# Parity bit counter
  							_lowercase				=	0
  							# Counter p data bit reading
  							_lowercase				=	0
  
  							for x in range(1 ,size_par + len(_A					) + 1					):
  														# Performs a template position of bits - who should be given,
  														# and who should be parity
  														if qtd_bp < size_par and (np.log(_A					) / np.log(2					)).is_integer():
  																					data_out_gab.append("""P"""					)
  																					_lowercase				=	qtd_bp + 1
  														else:
  																					data_out_gab.append("""D"""					)
  
  														# Sorts the data to the new output size
  														if data_out_gab[-1] == "D":
  																					data_ord.append(data_output[cont_data]					)
  																					cont_data += 1
  														else:
  																					data_ord.append(_A					)
  
      # Calculates parity
  							_lowercase				=	0  # parity bit counter
  							for bp in range(1 ,size_par + 1					):
  														# Bit counter one for a certain parity
  														_lowercase				=	0
  														# Counter to control loop reading
  														_lowercase				=	0
  														for x in data_ord:
  																					if x is not None:
  																												try:
  																																			_lowercase				=	(bin_pos[cont_loop])[-1 * (bp)]
  																												except IndexError:
  																																			_lowercase				=	"""0"""
  																												if aux == "1" and x == "1":
  																																			cont_bo += 1
  																					cont_loop += 1
  														parity.append(str(cont_bo % 2					)					)
  
  														qtd_bp += 1
  
  							# Mount the message
  							_lowercase				=	0  # Parity bit counter
  							for x in range(0 ,size_par + len(_A					)					):
  														if data_ord[x] is None:
  																					data_out.append(str(parity[cont_bp]					)					)
  																					cont_bp += 1
  														else:
  																					data_out.append(data_ord[x]					)
  
  							_lowercase				=	parity_received == parity
  							return data_output, ack
  
  
  