


'''simple docstring'''






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







def 							UpperCamelCase_     (       A__   :  Iterable[str]				,       A__   :  int   ):
  '''simple docstring'''





  lowerCAmelCase_     : int     =  iter(A__   )
  while True:
    lowerCAmelCase_     : Optional[Any]     =  tuple(itertools.islice(A__				,       A__   )   )
    if not chunk:
      return
    yield chunk







def 							UpperCamelCase_     (       A__   :  str   ):
  '''simple docstring'''





  lowerCAmelCase_     : Union[str, Any]     =  """""".join([c.upper() for c in dirty if c in string.ascii_letters]   )
  lowerCAmelCase_     : Union[str, Any]     =  """"""

  if len(A__   ) < 2:
    return dirty

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

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

  clean += dirty[-1]

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

  return clean







def 							UpperCamelCase_     (       A__   :  str   ):
  '''simple docstring'''





  lowerCAmelCase_     : Tuple     =  """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
  lowerCAmelCase_     : Dict     =  []

  # 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(A__   )

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

  return table







def 							UpperCamelCase_     (       A__   :  str				,       A__   :  str   ):
  '''simple docstring'''





  lowerCAmelCase_     : List[str]     =  generate_table(A__   )
  lowerCAmelCase_     : Tuple     =  prepare_input(A__   )
  lowerCAmelCase_     : Dict     =  """"""

  # https://en.wikipedia.org/wiki/Playfair_cipher#Description
  for chara, chara in chunker(A__				,       2   ):
    lowerCAmelCase_,				lowerCAmelCase_     : Tuple     =  divmod(table.index(A__   )				,       5   )
    lowerCAmelCase_,				lowerCAmelCase_     : List[str]     =  divmod(table.index(A__   )				,       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_     (       A__   :  str				,       A__   :  str   ):
  '''simple docstring'''





  lowerCAmelCase_     : Tuple     =  generate_table(A__   )
  lowerCAmelCase_     : Tuple     =  """"""

  # https://en.wikipedia.org/wiki/Playfair_cipher#Description
  for chara, chara in chunker(A__				,       2   ):
    lowerCAmelCase_,				lowerCAmelCase_     : Optional[int]     =  divmod(table.index(A__   )				,       5   )
    lowerCAmelCase_,				lowerCAmelCase_     : int     =  divmod(table.index(A__   )				,       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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__A   :    str											= {
    "configuration_roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig"],
    "tokenization_roc_bert": ["RoCBertTokenizer"],
}

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  pass

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A   :    Optional[int]											= [
      "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
      "RoCBertForCausalLM",
      "RoCBertForMaskedLM",
      "RoCBertForMultipleChoice",
      "RoCBertForPreTraining",
      "RoCBertForQuestionAnswering",
      "RoCBertForSequenceClassification",
      "RoCBertForTokenClassification",
      "RoCBertLayer",
      "RoCBertModel",
      "RoCBertPreTrainedModel",
      "load_tf_weights_in_roc_bert",
  ]

if TYPE_CHECKING:
  from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
  from .tokenization_roc_bert import RoCBertTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    raise OptionalDependencyNotAvailable()

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_roc_bert import (
        ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
        RoCBertForCausalLM,
        RoCBertForMaskedLM,
        RoCBertForMultipleChoice,
        RoCBertForPreTraining,
        RoCBertForQuestionAnswering,
        RoCBertForSequenceClassification,
        RoCBertForTokenClassification,
        RoCBertLayer,
        RoCBertModel,
        RoCBertPreTrainedModel,
        load_tf_weights_in_roc_bert,
    )


else:
  import sys

  __A   :    Optional[int]											= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



