
import multiprocessing
import os
from typing import BinaryIO, Optional, Union

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.csv.csv import Csv
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	def __init__(						self			:					List[str]    ,						lowercase			:					NestedDataStructureLike[PathLike]    ,						lowercase			:					Optional[NamedSplit] = None    ,						lowercase			:					Optional[Features] = None    ,						lowercase			:					str = None    ,						lowercase			:					bool = False    ,						lowercase			:					bool = False    ,						lowercase			:					Optional[int] = None    ,						**lowercase			:					int    ,						):


				'''simple docstring'''


				super().__init__(
				    lowercase    ,						split=lowercase    ,						features=lowercase    ,						cache_dir=lowercase    ,						keep_in_memory=lowercase    ,						streaming=lowercase    ,						num_proc=lowercase    ,						**lowercase    ,						)
				_snake_case						=    path_or_paths if isinstance(lowercase    ,						lowercase			) else {self.split: path_or_paths}
				_snake_case						=    Csv(
				    cache_dir=lowercase    ,						data_files=lowercase    ,						features=lowercase    ,						**lowercase    ,						)





	def 				A							(						self			:					Optional[Any]			):


				'''simple docstring'''


				if self.streaming:
							_snake_case						=    self.builder.as_streaming_dataset(split=self.split			)
				# Build regular (map-style) dataset
				else:
							_snake_case						=    None
							_snake_case						=    None
							_snake_case						=    None
							_snake_case						=    None

							self.builder.download_and_prepare(
							    download_config=lowercase    ,						download_mode=lowercase    ,						verification_mode=lowercase    ,						base_path=lowercase    ,						num_proc=self.num_proc    ,						)
							_snake_case						=    self.builder.as_dataset(
							    split=self.split    ,						verification_mode=lowercase    ,						in_memory=self.keep_in_memory			)
				return dataset




class      SCREAMING_SNAKE_CASE__  :





	'''simple docstring'''



	def __init__(						self			:					List[Any]    ,						lowercase			:					Dataset    ,						lowercase			:					Union[PathLike, BinaryIO]    ,						lowercase			:					Optional[int] = None    ,						lowercase			:					Optional[int] = None    ,						**lowercase			:					Union[str, Any]    ,						):


				'''simple docstring'''


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

				_snake_case						=    dataset
				_snake_case						=    path_or_buf
				_snake_case						=    batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
				_snake_case						=    num_proc
				_snake_case						=    'utf-8'
				_snake_case						=    to_csv_kwargs



	def 				A							(						self			:					Optional[int]			):


				'''simple docstring'''


				_snake_case						=    self.to_csv_kwargs.pop('path_or_buf'    ,						lowercase			)
				_snake_case						=    self.to_csv_kwargs.pop('header'    ,						lowercase			)
				_snake_case						=    self.to_csv_kwargs.pop('index'    ,						lowercase			)

				if isinstance(self.path_or_buf    ,						(str, bytes, os.PathLike)			):
							with open(self.path_or_buf    ,						'wb+'			) as buffer:
										_snake_case						=    self._write(file_obj=lowercase    ,						header=lowercase    ,						index=lowercase    ,						**self.to_csv_kwargs			)
				else:
							_snake_case						=    self._write(file_obj=self.path_or_buf    ,						header=lowercase    ,						index=lowercase    ,						**self.to_csv_kwargs			)
				return written



	def 				A							(						self			:					Any    ,						lowercase			:					int			):


				'''simple docstring'''


				_snake_case			,      _snake_case			,      _snake_case			,      _snake_case						=    args

				_snake_case						=    query_table(
				    table=self.dataset.data    ,						key=slice(lowercase    ,						offset + self.batch_size			)    ,						indices=self.dataset._indices    ,						)
				_snake_case						=    batch.to_pandas().to_csv(
				    path_or_buf=lowercase    ,						header=header if (offset == 0) else False    ,						index=lowercase    ,						**lowercase			)
				return csv_str.encode(self.encoding			)





	def 				A							(						self			:					Union[str, Any]    ,						lowercase			:					BinaryIO    ,						lowercase			:					Tuple    ,						lowercase			:					Union[str, Any]    ,						**lowercase			:					Optional[Any]			):


				'''simple docstring'''


				_snake_case						=    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 CSV from Arrow format'    ,						):
										_snake_case						=    self._batch_csv((offset, header, index, to_csv_kwargs)			)
										written += file_obj.write(lowercase			)

				else:
							_snake_case			,      _snake_case						=    len(self.dataset			), self.batch_size
							with multiprocessing.Pool(self.num_proc			) as pool:
										for csv_str in logging.tqdm(
										    pool.imap(
										        self._batch_csv    ,						[(offset, header, index, to_csv_kwargs) for offset in range(0    ,						lowercase    ,						lowercase			)]    ,						)    ,						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 CSV from Arrow format'    ,						):
													written += file_obj.write(lowercase			)

				return written

def  a_	( __lowercase     :			int				)				->						bool:
			_snake_case						=    9

			while num > 0:
						if num % 10 != digit:
									return False
						num //= 100
						digit -= 1

			return True






def  a_	( )				->						int:
			_snake_case						=    138_902_663

			while not is_square_form(num * num				):
						if num % 10 == 3:
									num -= 6  # (3 - 6) % 10 = 7
						else:
									num -= 4  # (7 - 4) % 10 = 3

			return num * 10


if __name__ == "__main__":
			print(F'{solution() = }')