"""simple docstring"""




import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
_a				:		Any	   =       {
    'E': 12.70,
    'T': 9.06,
    'A': 8.17,
    'O': 7.51,
    'I': 6.97,
    'N': 6.75,
    'S': 6.33,
    'H': 6.09,
    'R': 5.99,
    'D': 4.25,
    'L': 4.03,
    'C': 2.78,
    'U': 2.76,
    'M': 2.41,
    'W': 2.36,
    'F': 2.23,
    'G': 2.02,
    'Y': 1.97,
    'P': 1.93,
    'B': 1.29,
    'V': 0.98,
    'K': 0.77,
    'J': 0.15,
    'X': 0.15,
    'Q': 0.10,
    'Z': 0.07,
}
_a				:		Union[str, Any]	   =       'ETAOINSHRDLCUMWFGYPBVKJXQZ'
_a				:		str	   =       'ABCDEFGHIJKLMNOPQRSTUVWXYZ'





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str     )	->				Dict:
  _lowerCAmelCase						:	Any        =					{letter: 0 for letter in string.ascii_uppercase}
  for letter in message.upper():
    if letter in LETTERS:
      letter_count[letter] += 1

  return letter_count





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	tuple     )	->				List[Any]:
  return x[0]





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str     )	->				int:
  _lowerCAmelCase						:	Any        =					get_letter_count(UpperCAmelCase_     )
  _lowerCAmelCase						:	str        =					{
      freq: [] for letter, freq in letter_to_freq.items()
  }
  for letter in LETTERS:
    freq_to_letter[letter_to_freq[letter]].append(UpperCAmelCase_     )

  _lowerCAmelCase						:	Tuple        =					{}

  for freq in freq_to_letter:
    freq_to_letter[freq].sort(key=ETAOIN.find      ,reverse=UpperCAmelCase_     )
    _lowerCAmelCase						:	List[str]        =					"""""".join(freq_to_letter[freq]     )

  _lowerCAmelCase						:	Optional[Any]        =					list(freq_to_letter_str.items()     )
  freq_pairs.sort(key=UpperCAmelCase_      ,reverse=UpperCAmelCase_     )

  _lowerCAmelCase						:	str        =					[freq_pair[1] for freq_pair in freq_pairs]

  return "".join(UpperCAmelCase_     )





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str     )	->				Optional[int]:
  _lowerCAmelCase						:	Optional[int]        =					get_frequency_order(UpperCAmelCase_     )
  _lowerCAmelCase						:	Optional[int]        =					0
  for common_letter in ETAOIN[:6]:
    if common_letter in freq_order[:6]:
      match_score += 1

  for uncommon_letter in ETAOIN[-6:]:
    if uncommon_letter in freq_order[-6:]:
      match_score += 1

  return match_score


if __name__ == "__main__":
     import doctest

     doctest.testmod()





"""simple docstring"""




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 						__A							(			SCREAMING_SNAKE_CASE_		):






     def __init__(		self    ,					a__    ,					a__ = None    ,					a__ = None    ,					a__ = True    ,					a__ = None    ,					a__ = False    ,					a__ = None    ,					a__ = True    ,					a__ = "arrow"    ,					**a__    ,					):
       super().__init__(
           split=a__    ,					features=a__    ,					cache_dir=a__    ,					keep_in_memory=a__    ,					streaming=a__    ,					**a__    ,					)
       _lowerCAmelCase						:	List[Any]        =					load_from_cache_file
       _lowerCAmelCase						:	str        =					file_format
       _lowerCAmelCase						:	Dict        =					Spark(
           df=a__    ,					features=a__    ,					cache_dir=a__    ,					working_dir=a__    ,					**a__    ,					)






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




