"""simple docstring"""
import multiprocessing
from typing import TYPE_CHECKING, Optional, Union

from .. import Dataset, Features, config
from ..formatting import query_table
from ..packaged_modules.sql.sql import Sql
from ..utils import logging
from .abc import AbstractDatasetInputStream


if TYPE_CHECKING:
 import sqlitea

 import sqlalchemy




class    __snake_case       (     __lowerCAmelCase				):



      def __init__(						self    ,			lowercase    ,			lowercase    ,			lowercase = None    ,			lowercase = None    ,			lowercase = False    ,			**lowercase    ,			)	->			str:





        '''simple docstring'''





        super().__init__(features=lowerCamelCase__    ,			cache_dir=lowerCamelCase__    ,			keep_in_memory=lowerCamelCase__    ,			**lowerCamelCase__)
        a__:     Tuple										=	Sql(
            cache_dir=lowerCamelCase__    ,			features=lowerCamelCase__    ,			sql=lowerCamelCase__    ,			con=lowerCamelCase__    ,			**lowerCamelCase__    ,			)



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        a__:     Tuple										=	None
        a__:     int										=	None
        a__:     Union[str, Any]										=	None
        a__:     Optional[int]										=	None

        self.builder.download_and_prepare(
            download_config=lowerCamelCase__    ,			download_mode=lowerCamelCase__    ,			verification_mode=lowerCamelCase__    ,			base_path=lowerCamelCase__    ,			)

        # Build dataset for splits
        a__:     Any										=	self.builder.as_dataset(
            split='train'    ,			verification_mode=lowerCamelCase__    ,			in_memory=self.keep_in_memory)
        return dataset







class    __snake_case       :



      def __init__(						self    ,			lowercase    ,			lowercase    ,			lowercase    ,			lowercase = None    ,			lowercase = None    ,			**lowercase    ,			)	->			List[str]:





        '''simple docstring'''





        if num_proc is not None and num_proc <= 0:
          raise ValueError(f'num_proc {num_proc} must be an integer > 0.')

        a__:     Dict										=	dataset
        a__:     str										=	name
        a__:     List[Any]										=	con
        a__:     str										=	batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
        a__:     int										=	num_proc
        a__:     Optional[int]										=	to_sql_kwargs



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        a__:     List[str]										=	self.to_sql_kwargs.pop('sql'    ,			lowerCamelCase__)
        a__:     List[str]										=	self.to_sql_kwargs.pop('con'    ,			lowerCamelCase__)
        a__:     str										=	self.to_sql_kwargs.pop('index'    ,			lowerCamelCase__)

        a__:     Optional[int]										=	self._write(index=lowerCamelCase__    ,			**self.to_sql_kwargs)
        return written



      def   lowerCamelCase_   (						self    ,			lowercase)	->			Union[str, Any]:





        '''simple docstring'''





        a__							,    a__							,    a__:     Optional[int]										=	args
        a__:     Tuple										=	{**to_sql_kwargs, 'if_exists': 'append'} if offset > 0 else to_sql_kwargs
        a__:     List[Any]										=	query_table(
            table=self.dataset.data    ,			key=slice(lowerCamelCase__    ,			offset + self.batch_size)    ,			indices=self.dataset._indices    ,			)
        a__:     int										=	batch.to_pandas()
        a__:     List[str]										=	df.to_sql(self.name    ,			self.con    ,			index=lowerCamelCase__    ,			**lowerCamelCase__)
        return num_rows or len(lowerCamelCase__)



      def   lowerCamelCase_   (						self    ,			lowercase    ,			**lowercase)	->			int:





        '''simple docstring'''





        a__:     Dict										=	0

        if self.num_proc is None or self.num_proc == 1:
          for offset in logging.tqdm(
              range(0    ,			len(self.dataset)    ,			self.batch_size)    ,			unit='ba'    ,			disable=not logging.is_progress_bar_enabled()    ,			desc='Creating SQL from Arrow format'    ,			):
            written += self._batch_sql((offset, index, to_sql_kwargs))
        else:
          a__							,    a__:     Union[str, Any]										=	len(self.dataset), self.batch_size
          with multiprocessing.Pool(self.num_proc) as pool:
            for num_rows in logging.tqdm(
                pool.imap(
                    self._batch_sql    ,			[(offset, index, to_sql_kwargs) for offset in range(0    ,			lowerCamelCase__    ,			lowerCamelCase__)]    ,			)    ,			total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size    ,			unit='ba'    ,			disable=not logging.is_progress_bar_enabled()    ,			desc='Creating SQL from Arrow format'    ,			):
              written += num_rows

        return written








import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
__A        =    {
    "E": 1_2.7_0,
    "T": 9.0_6,
    "A": 8.1_7,
    "O": 7.5_1,
    "I": 6.9_7,
    "N": 6.7_5,
    "S": 6.3_3,
    "H": 6.0_9,
    "R": 5.9_9,
    "D": 4.2_5,
    "L": 4.0_3,
    "C": 2.7_8,
    "U": 2.7_6,
    "M": 2.4_1,
    "W": 2.3_6,
    "F": 2.2_3,
    "G": 2.0_2,
    "Y": 1.9_7,
    "P": 1.9_3,
    "B": 1.2_9,
    "V": 0.9_8,
    "K": 0.7_7,
    "J": 0.1_5,
    "X": 0.1_5,
    "Q": 0.1_0,
    "Z": 0.0_7,
}
__A        =    "ETAOINSHRDLCUMWFGYPBVKJXQZ"
__A        =    "ABCDEFGHIJKLMNOPQRSTUVWXYZ"







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       dict[str, int]:





				"""simple docstring"""


				__lowerCamelCase		       =    {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 			lowerCamelCase_		(       UpperCamelCase__				:      tuple      )     ->       str:





				"""simple docstring"""


				return x[0]







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       str:





				"""simple docstring"""


				__lowerCamelCase		       =    get_letter_count(UpperCamelCase__      )
				__lowerCamelCase		       =    {
				    freq: [] for letter, freq in letter_to_freq.items()
				}
				for letter in LETTERS:
								freq_to_letter[letter_to_freq[letter]].append(UpperCamelCase__      )

				__lowerCamelCase		       =    {}

				for freq in freq_to_letter:
								freq_to_letter[freq].sort(key=ETAOIN.find ,     reverse=UpperCamelCase__      )
								__lowerCamelCase		       =    ''.join(freq_to_letter[freq]      )

				__lowerCamelCase		       =    list(freq_to_letter_str.items()      )
				freq_pairs.sort(key=UpperCamelCase__ ,     reverse=UpperCamelCase__      )

				__lowerCamelCase		       =    [freq_pair[1] for freq_pair in freq_pairs]

				return "".join(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       int:





				"""simple docstring"""


				__lowerCamelCase		       =    get_frequency_order(UpperCamelCase__      )
				__lowerCamelCase		       =    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()


