

import numpy as np
def 						UpperCamelCase_(			snake_case__:  int  ,    snake_case__:  int="utf-8"  ,    snake_case__:  List[Any]="surrogatepass"   )       -> Tuple:
 UpperCAmelCase__							=				bin(int.from_bytes(text.encode(snake_case__  ,    snake_case__   )  ,    'big'   )   )[2:]
 return bits.zfill(8 * ((len(snake_case__   ) + 7) // 8)   )
def 						UpperCamelCase_(			snake_case__:  str  ,    snake_case__:  Union[str, Any]="utf-8"  ,    snake_case__:  Dict="surrogatepass"   )       -> int:
 UpperCAmelCase__							=				int(snake_case__  ,    2   )
 return n.to_bytes((n.bit_length() + 7) // 8  ,    'big'   ).decode(snake_case__  ,    snake_case__   ) or "\0"
def 						UpperCamelCase_(			snake_case__:  Optional[Any]  ,    snake_case__:  Any   )       -> Optional[int]:
 if size_par + len(snake_case__   ) <= 2**size_par - (len(snake_case__   ) - 1):
  raise ValueError('size of parity don\'t match with size of data'   )

 UpperCAmelCase__							=				[]
 UpperCAmelCase__							=				[]
 UpperCAmelCase__							=				[bin(snake_case__   )[2:] for x in range(1  ,    size_par + len(snake_case__   ) + 1   )]

 # sorted information data for the size of the output data
 UpperCAmelCase__							=				[]
 # data position template + parity
 UpperCAmelCase__							=				[]
 # parity bit counter
 UpperCAmelCase__							=				0
 # counter position of data bits
 UpperCAmelCase__							=				0

 for x in range(1  ,    size_par + len(snake_case__   ) + 1   ):
  # Performs a template of bit positions - who should be given,
  # and who should be parity
  if qtd_bp < size_par:
   if (np.log(snake_case__   ) / np.log(2   )).is_integer():
    data_out_gab.append('P'   )
    UpperCAmelCase__							=				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(snake_case__   )

    # Calculates parity
 UpperCAmelCase__							=				0  # parity bit counter
 for bp in range(1  ,    size_par + 1   ):
  # Bit counter one for a given parity
  UpperCAmelCase__							=				0
  # counter to control the loop reading
  UpperCAmelCase__							=				0
  for x in data_ord:
   if x is not None:
    try:
     UpperCAmelCase__							=				(bin_pos[cont_loop])[-1 * (bp)]
    except IndexError:
     UpperCAmelCase__							=				'0'
    if aux == "1" and x == "1":
     cont_bo += 1
   cont_loop += 1
  parity.append(cont_bo % 2   )

  qtd_bp += 1

 # Mount the message
 UpperCAmelCase__							=				0  # parity bit counter
 for x in range(0  ,    size_par + len(snake_case__   )   ):
  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 						UpperCamelCase_(			snake_case__:  Any  ,    snake_case__:  Dict   )       -> str:
 UpperCAmelCase__							=				[]
 # Parity bit counter
 UpperCAmelCase__							=				0
 # Counter p data bit reading
 UpperCAmelCase__							=				0
 # list of parity received
 UpperCAmelCase__							=				[]
 UpperCAmelCase__							=				[]

 for x in range(1  ,    len(snake_case__   ) + 1   ):
  # Performs a template of bit positions - who should be given,
  #  and who should be parity
  if qtd_bp < size_par and (np.log(snake_case__   ) / np.log(2   )).is_integer():
   data_out_gab.append('P'   )
   UpperCAmelCase__							=				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
 UpperCAmelCase__							=				[]
 UpperCAmelCase__							=				[]
 UpperCAmelCase__							=				[bin(snake_case__   )[2:] for x in range(1  ,    size_par + len(snake_case__   ) + 1   )]

 #  sorted information data for the size of the output data
 UpperCAmelCase__							=				[]
 # Data position feedback + parity
 UpperCAmelCase__							=				[]
 # Parity bit counter
 UpperCAmelCase__							=				0
 # Counter p data bit reading
 UpperCAmelCase__							=				0

 for x in range(1  ,    size_par + len(snake_case__   ) + 1   ):
  # Performs a template position of bits - who should be given,
  # and who should be parity
  if qtd_bp < size_par and (np.log(snake_case__   ) / np.log(2   )).is_integer():
   data_out_gab.append('P'   )
   UpperCAmelCase__							=				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(snake_case__   )

    # Calculates parity
 UpperCAmelCase__							=				0  # parity bit counter
 for bp in range(1  ,    size_par + 1   ):
  # Bit counter one for a certain parity
  UpperCAmelCase__							=				0
  # Counter to control loop reading
  UpperCAmelCase__							=				0
  for x in data_ord:
   if x is not None:
    try:
     UpperCAmelCase__							=				(bin_pos[cont_loop])[-1 * (bp)]
    except IndexError:
     UpperCAmelCase__							=				'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
 UpperCAmelCase__							=				0  # Parity bit counter
 for x in range(0  ,    size_par + len(snake_case__   )   ):
  if data_ord[x] is None:
   data_out.append(str(parity[cont_bp]   )   )
   cont_bp += 1
  else:
   data_out.append(data_ord[x]   )

 UpperCAmelCase__							=				parity_received == parity
 return data_output, ack






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			       =			{
    '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/config.json''',
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}



class     lowercase						(       _UpperCamelCase					):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE												=				"""rembert"""




 def __init__(self       ,       __a=250300       ,       __a=1152       ,       __a=32       ,       __a=18       ,       __a=256       ,       __a=1664       ,       __a=4608       ,       __a="gelu"       ,       __a=0.0       ,       __a=0.0       ,       __a=0.1       ,       __a=512       ,       __a=2       ,       __a=0.02       ,       __a=1E-1_2       ,       __a=True       ,       __a=0       ,       __a=312       ,       __a=313       ,       **__a       ,       ) ->					str:






  """simple docstring"""





  super().__init__(pad_token_id=__a       ,       bos_token_id=__a       ,       eos_token_id=__a       ,       **__a )

  UpperCAmelCase__							=				vocab_size
  UpperCAmelCase__							=				input_embedding_size
  UpperCAmelCase__							=				output_embedding_size
  UpperCAmelCase__							=				max_position_embeddings
  UpperCAmelCase__							=				hidden_size
  UpperCAmelCase__							=				num_hidden_layers
  UpperCAmelCase__							=				num_attention_heads
  UpperCAmelCase__							=				intermediate_size
  UpperCAmelCase__							=				hidden_act
  UpperCAmelCase__							=				hidden_dropout_prob
  UpperCAmelCase__							=				attention_probs_dropout_prob
  UpperCAmelCase__							=				classifier_dropout_prob
  UpperCAmelCase__							=				initializer_range
  UpperCAmelCase__							=				type_vocab_size
  UpperCAmelCase__							=				layer_norm_eps
  UpperCAmelCase__							=				use_cache
  UpperCAmelCase__							=				False







class     lowercase						(       _UpperCamelCase					):



 '''simple docstring'''


 @property
 def   UpperCamelCase__							(self ) ->					Mapping[str, Mapping[int, str]]:






  """simple docstring"""





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




 @property
 def   UpperCamelCase__							(self ) ->					float:






  """simple docstring"""





  return 1E-4



