




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



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	Generator[tuple[str, ...], None, None]:
  lowerCAmelCase__				:  Optional[Any]		       =     iter(UpperCamelCase      )
  while True:
    lowerCAmelCase__				:  Any		       =     tuple(itertools.islice(UpperCamelCase	,      UpperCamelCase      )      )
    if not chunk:
      return
    yield chunk



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	str:
  lowerCAmelCase__				:  Tuple		       =     ''''''.join([c.upper() for c in dirty if c in string.ascii_letters]      )
  lowerCAmelCase__				:  Any		       =     ''''''

  if len(UpperCamelCase      ) < 2:
    return dirty

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

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

  clean += dirty[-1]

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

  return clean



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	list[str]:
  # I and J are used interchangeably to allow
  # us to use a 5x5 table (25 letters)
  lowerCAmelCase__				:  List[str]		       =     '''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__				:  int		       =     []

  # 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(UpperCamelCase      )

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

  return table



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	str:
  lowerCAmelCase__				:  Optional[Any]		       =     generate_table(UpperCamelCase      )
  lowerCAmelCase__				:  Optional[Any]		       =     prepare_input(UpperCamelCase      )
  lowerCAmelCase__				:  Any		       =     ''''''

  # https://en.wikipedia.org/wiki/Playfair_cipher#Description
  for chara, chara in chunker(UpperCamelCase	,      2      ):
    lowerCAmelCase__       ,			lowerCAmelCase__				:  int		       =     divmod(table.index(UpperCamelCase      )	,      5      )
    lowerCAmelCase__       ,			lowerCAmelCase__				:  Optional[int]		       =     divmod(table.index(UpperCamelCase      )	,      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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	str:
  lowerCAmelCase__				:  Union[str, Any]		       =     generate_table(UpperCamelCase      )
  lowerCAmelCase__				:  Tuple		       =     ''''''

  # https://en.wikipedia.org/wiki/Playfair_cipher#Description
  for chara, chara in chunker(UpperCamelCase	,      2      ):
    lowerCAmelCase__       ,			lowerCAmelCase__				:  Any		       =     divmod(table.index(UpperCamelCase      )	,      5      )
    lowerCAmelCase__       ,			lowerCAmelCase__				:  List[str]		       =     divmod(table.index(UpperCamelCase      )	,      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







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase_					    = {
    """configuration_lilt""": ["""LILT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LiltConfig"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase_					    = [
         """LILT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """LiltForQuestionAnswering""",
         """LiltForSequenceClassification""",
         """LiltForTokenClassification""",
         """LiltModel""",
         """LiltPreTrainedModel""",
     ]

if TYPE_CHECKING:
     from .configuration_lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_lilt import (
              LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
              LiltForQuestionAnswering,
              LiltForSequenceClassification,
              LiltForTokenClassification,
              LiltModel,
              LiltPreTrainedModel,
          )

else:
     import sys

     lowerCAmelCase_					    = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

