



'''simple docstring'''


import itertools
import string
from collections.abc import Generator, Iterable






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=iter(_snake_case       )
     while True:
          a_       		=tuple(itertools.islice(_snake_case       ,	_snake_case       )       )
          if not chunk:
               return
          yield chunk






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     a_       		="".join([c.upper() for c in dirty if c in string.ascii_letters]       )
     a_       		=""

     if len(_snake_case       ) < 2:
          return dirty

     for i in range(len(_snake_case       ) - 1       ):
          clean += dirty[i]

          if dirty[i] == dirty[i + 1]:
               clean += "X"

     clean += dirty[-1]

     if len(_snake_case       ) & 1:
          clean += "X"

     return clean






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     a_       		="ABCDEFGHIKLMNOPQRSTUVWXYZ"
     # we're using a list instead of a '2d' array because it makes the math
     # for setting up the table and doing the actual encoding/decoding simpler
     a_       		=[]

     # copy key chars into the table if they are in `alphabet` ignoring duplicates
     for char in key.upper():
          if char not in table and char in alphabet:
               table.append(_snake_case       )

    # fill the rest of the table in with the remaining alphabet chars
     for char in alphabet:
          if char not in table:
               table.append(_snake_case       )

     return table






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=generate_table(_snake_case       )
     a_       		=prepare_input(_snake_case       )
     a_       		=""

     # https://en.wikipedia.org/wiki/Playfair_cipher#Description
     for chara, chara in chunker(_snake_case       ,	2       ):
          a_		,						a_       		=divmod(table.index(_snake_case       )       ,	5       )
          a_		,						a_       		=divmod(table.index(_snake_case       )       ,	5       )

          if rowa == rowa:
               ciphertext += table[rowa * 5 + (cola + 1) % 5]
               ciphertext += table[rowa * 5 + (cola + 1) % 5]
          elif cola == cola:
               ciphertext += table[((rowa + 1) % 5) * 5 + cola]
               ciphertext += table[((rowa + 1) % 5) * 5 + cola]
          else:  # rectangle
               ciphertext += table[rowa * 5 + cola]
               ciphertext += table[rowa * 5 + cola]

     return ciphertext






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=generate_table(_snake_case       )
     a_       		=""

     # https://en.wikipedia.org/wiki/Playfair_cipher#Description
     for chara, chara in chunker(_snake_case       ,	2       ):
          a_		,						a_       		=divmod(table.index(_snake_case       )       ,	5       )
          a_		,						a_       		=divmod(table.index(_snake_case       )       ,	5       )

          if rowa == rowa:
               plaintext += table[rowa * 5 + (cola - 1) % 5]
               plaintext += table[rowa * 5 + (cola - 1) % 5]
          elif cola == cola:
               plaintext += table[((rowa - 1) % 5) * 5 + cola]
               plaintext += table[((rowa - 1) % 5) * 5 + cola]
          else:  # rectangle
               plaintext += table[rowa * 5 + cola]
               plaintext += table[rowa * 5 + cola]

     return plaintext







'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


lowercase							       =			{
    '''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 	UpperCAmelCase	(		__a):


 '''simple docstring'''




 __magic_name__					: int  =      "albert"




 def __init__(   self							,  lowerCAmelCase_=3_0_0_0_0							,  lowerCAmelCase_=1_2_8							,  lowerCAmelCase_=4_0_9_6							,  lowerCAmelCase_=1_2							,  lowerCAmelCase_=1							,  lowerCAmelCase_=6_4							,  lowerCAmelCase_=1_6_3_8_4							,  lowerCAmelCase_=1							,  lowerCAmelCase_="gelu_new"							,  lowerCAmelCase_=0							,  lowerCAmelCase_=0							,  lowerCAmelCase_=5_1_2							,  lowerCAmelCase_=2							,  lowerCAmelCase_=0.0_2							,  lowerCAmelCase_=1e-12							,  lowerCAmelCase_=0.1							,  lowerCAmelCase_="absolute"							,  lowerCAmelCase_=0							,  lowerCAmelCase_=2							,  lowerCAmelCase_=3							,  **lowerCAmelCase_							,  ) ->      Any:



      """simple docstring"""







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

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







class 	UpperCAmelCase	(		__a):


 '''simple docstring'''




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



      """simple docstring"""







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


