


'''simple docstring'''
import itertools
import string
from collections.abc import Generator, Iterable


def       _lowercase							(					UpperCamelCase__							:       Iterable[str],					UpperCamelCase__							:       int      ):
 __A	:		List[Any]	  =      iter(UpperCamelCase__      )
 while True:
  __A	:		List[str]	  =      tuple(itertools.islice(UpperCamelCase__,					UpperCamelCase__      )      )
  if not chunk:
   return
  yield chunk


def       _lowercase							(					UpperCamelCase__							:       str      ):
 __A	:		Dict	  =      ''.join([c.upper() for c in dirty if c in string.ascii_letters]      )
 __A	:		List[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       _lowercase							(					UpperCamelCase__							:       str      ):
 # I and J are used interchangeably to allow
 # us to use a 5x5 table (25 letters)
 __A	:		Optional[Any]	  =      '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	:		Union[str, Any]	  =      []

 # 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       _lowercase							(					UpperCamelCase__							:       str,					UpperCamelCase__							:       str      ):
 __A	:		Optional[Any]	  =      generate_table(UpperCamelCase__      )
 __A	:		int	  =      prepare_input(UpperCamelCase__      )
 __A	:		List[Any]	  =      ''

 # https://en.wikipedia.org/wiki/Playfair_cipher#Description
 for chara, chara in chunker(UpperCamelCase__,					2      ):
  __A  ,__A	:		Tuple	  =      divmod(table.index(UpperCamelCase__      ),					5      )
  __A  ,__A	:		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       _lowercase							(					UpperCamelCase__							:       str,					UpperCamelCase__							:       str      ):
 __A	:		Optional[int]	  =      generate_table(UpperCamelCase__      )
 __A	:		List[Any]	  =      ''

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










'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_			:  Optional[int]										=   logging.get_logger(__name__)

UpperCAmelCase_			:  List[str]										=   {
    'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/config.json',
    'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/config.json'
    # See all FNet models at https://huggingface.co/models?filter=fnet
}

class     _lowerCamelCase       (     snake_case_					):




 '''simple docstring'''
 __lowercase					:		List[Any]     				=    '''fnet'''


 def __init__(   self   ,   __lowercase=32_000   ,   __lowercase=768   ,   __lowercase=12   ,   __lowercase=3_072   ,   __lowercase="gelu_new"   ,   __lowercase=0.1   ,   __lowercase=512   ,   __lowercase=4   ,   __lowercase=0.0_2   ,   __lowercase=1E-12   ,   __lowercase=False   ,   __lowercase=512   ,   __lowercase=3   ,   __lowercase=1   ,   __lowercase=2   ,   **__lowercase   ,   ):

  """simple docstring"""







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

  __A	:		Union[str, Any]	  =      vocab_size
  __A	:		Dict	  =      max_position_embeddings
  __A	:		List[str]	  =      hidden_size
  __A	:		Tuple	  =      num_hidden_layers
  __A	:		Optional[int]	  =      intermediate_size
  __A	:		Dict	  =      hidden_act
  __A	:		List[str]	  =      hidden_dropout_prob
  __A	:		str	  =      initializer_range
  __A	:		Dict	  =      type_vocab_size
  __A	:		int	  =      layer_norm_eps
  __A	:		Tuple	  =      use_tpu_fourier_optimizations
  __A	:		Optional[Any]	  =      tpu_short_seq_length






