





import itertools
import string
from collections.abc import Generator, Iterable
def      _A       (		SCREAMING_SNAKE_CASE     :   Iterable[str]       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  a__	:					Dict										=iter(SCREAMING_SNAKE_CASE						)
  while True:
    a__	:					int										=tuple(itertools.islice(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)						)
    if not chunk:
      return
    yield chunk
def      _A       (		SCREAMING_SNAKE_CASE     :   str						):





  """simple docstring"""



  a__	:					Tuple										="".join([c.upper() for c in dirty if c in string.ascii_letters]						)
  a__	:					List[str]										=""

  if len(SCREAMING_SNAKE_CASE						) < 2:
    return dirty

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

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

  clean += dirty[-1]

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

  return clean
def      _A       (		SCREAMING_SNAKE_CASE     :   str						):





  """simple docstring"""



  a__	:					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
  a__	:					Optional[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(SCREAMING_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(SCREAMING_SNAKE_CASE						)

  return table
def      _A       (		SCREAMING_SNAKE_CASE     :   str       ,       SCREAMING_SNAKE_CASE     :   str						):





  """simple docstring"""



  a__	:					Tuple										=generate_table(SCREAMING_SNAKE_CASE						)
  a__	:					Optional[int]										=prepare_input(SCREAMING_SNAKE_CASE						)
  a__	:					Any										=""

  # https://en.wikipedia.org/wiki/Playfair_cipher#Description
  for chara, chara in chunker(SCREAMING_SNAKE_CASE       ,       2						):
    a__					,							a__	:					str										=divmod(table.index(SCREAMING_SNAKE_CASE						)       ,       5						)
    a__					,							a__	:					str										=divmod(table.index(SCREAMING_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      _A       (		SCREAMING_SNAKE_CASE     :   str       ,       SCREAMING_SNAKE_CASE     :   str						):





  """simple docstring"""



  a__	:					Tuple										=generate_table(SCREAMING_SNAKE_CASE						)
  a__	:					Union[str, Any]										=""

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













from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader







class 				__lowerCAmelCase       (    UpperCamelCase__):







      def __init__(    self		,      lowerCAmelCase__		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = True		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = False		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = True		,      lowerCAmelCase__ = "arrow"		,      **lowerCAmelCase__		,      )   ->						Optional[int]:



        '''simple docstring'''




        super().__init__(
            split=lowerCAmelCase__		,      features=lowerCAmelCase__		,      cache_dir=lowerCAmelCase__		,      keep_in_memory=lowerCAmelCase__		,      streaming=lowerCAmelCase__		,      **lowerCAmelCase__		,      )
        a__	:					int										=load_from_cache_file
        a__	:					Tuple										=file_format
        a__	:					List[Any]										=Spark(
            df=lowerCAmelCase__		,      features=lowerCAmelCase__		,      cache_dir=lowerCAmelCase__		,      working_dir=lowerCAmelCase__		,      **lowerCAmelCase__		,      )







      def    _lowercase  (    self							)   ->						str:



        '''simple docstring'''




        if self.streaming:
          return self.builder.as_streaming_dataset(split=self.split							)
        a__	:					str										=None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
        self.builder.download_and_prepare(
            download_mode=lowerCAmelCase__		,      file_format=self._file_format		,      )
        return self.builder.as_dataset(split=self.split							)






