






"""simple docstring"""
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 		a_      (	snake_case_ ):







      '''simple docstring'''

      def __init__(self,     lowerCamelCase_,     lowerCamelCase_ = None,     lowerCamelCase_ = None,     lowerCamelCase_ = None,     lowerCamelCase_ = False,     lowerCamelCase_ = False,     lowerCamelCase_ = None,     **lowerCamelCase_,     ):

       '''simple docstring'''



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





      def 			a__							(self					):

       '''simple docstring'''



       if self.streaming:
        lowerCamelCase__     :			List[Any]     				=						self.builder.as_streaming_dataset(split=self.split					)
       # Build regular (map-style) dataset
       else:
        lowerCamelCase__     :			Optional[Any]     				=						None
        lowerCamelCase__     :			int     				=						None
        lowerCamelCase__     :			List[str]     				=						None
        lowerCamelCase__     :			List[Any]     				=						None

        self.builder.download_and_prepare(
            download_config=lowerCamelCase_,     download_mode=lowerCamelCase_,     verification_mode=lowerCamelCase_,     base_path=lowerCamelCase_,     num_proc=self.num_proc,     )
        lowerCamelCase__     :			str     				=						self.builder.as_dataset(
            split=self.split,     verification_mode=lowerCamelCase_,     in_memory=self.keep_in_memory					)
       return dataset



class 		a_      :







      '''simple docstring'''

      def __init__(self,     lowerCamelCase_,     lowerCamelCase_,     lowerCamelCase_ = None,     lowerCamelCase_ = None,     **lowerCamelCase_,     ):

       '''simple docstring'''



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

       lowerCamelCase__     :			Union[str, Any]     				=						dataset
       lowerCamelCase__     :			Dict     				=						path_or_buf
       lowerCamelCase__     :			str     				=						batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
       lowerCamelCase__     :			List[Any]     				=						num_proc
       lowerCamelCase__     :			Dict     				=						'utf-8'
       lowerCamelCase__     :			List[Any]     				=						to_csv_kwargs




      def 			a__							(self					):

       '''simple docstring'''



       lowerCamelCase__     :			List[Any]     				=						self.to_csv_kwargs.pop('path_or_buf',     lowerCamelCase_					)
       lowerCamelCase__     :			Optional[int]     				=						self.to_csv_kwargs.pop('header',     lowerCamelCase_					)
       lowerCamelCase__     :			List[Any]     				=						self.to_csv_kwargs.pop('index',     lowerCamelCase_					)

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




      def 			a__							(self,     lowerCamelCase_					):

       '''simple docstring'''



       lowerCamelCase__				,     lowerCamelCase__				,     lowerCamelCase__				,     lowerCamelCase__     :			List[Any]     				=						args

       lowerCamelCase__     :			Optional[Any]     				=						query_table(
           table=self.dataset.data,     key=slice(lowerCamelCase_,     offset + self.batch_size					),     indices=self.dataset._indices,     )
       lowerCamelCase__     :			Dict     				=						batch.to_pandas().to_csv(
           path_or_buf=lowerCamelCase_,     header=header if (offset == 0) else False,     index=lowerCamelCase_,     **lowerCamelCase_					)
       return csv_str.encode(self.encoding					)





      def 			a__							(self,     lowerCamelCase_,     lowerCamelCase_,     lowerCamelCase_,     **lowerCamelCase_					):

       '''simple docstring'''



       lowerCamelCase__     :			List[str]     				=						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',     ):
         lowerCamelCase__     :			Optional[int]     				=						self._batch_csv((offset, header, index, to_csv_kwargs)					)
         written += file_obj.write(lowerCamelCase_					)

       else:
        lowerCamelCase__				,     lowerCamelCase__     :			Tuple     				=						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,     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 CSV from Arrow format',     ):
          written += file_obj.write(lowerCamelCase_					)

       return written


from __future__ import annotations


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int						,  lowercase_:		int ):
       assert n > 1 and a > 0 and greatest_common_divisor(lowercase_						,  lowercase_ ) == 1
       ((_UpperCamelCase)  ,					(_UpperCamelCase)  ,					(_UpperCamelCase))   :				Optional[int]       =     extended_gcd(lowercase_						,  lowercase_ )  # Implemented below
       _UpperCamelCase   :				str       =     (b * s) % n
       return x


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       ((_UpperCamelCase)  ,					(_UpperCamelCase))   :				Union[str, Any]       =     extended_euclid(lowercase_						,  lowercase_ )  # Implemented below
       if b < 0:
              _UpperCamelCase   :				Union[str, Any]       =     (b % n + n) % n
       return b


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int						,  lowercase_:		int ):
       _UpperCamelCase   :				Union[str, Any]       =     invert_modulo(lowercase_						,  lowercase_ )
       _UpperCamelCase   :				str       =     (b * s) % n
       return x


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       assert a >= 0 and b >= 0

       if b == 0:
              _UpperCamelCase  ,					_UpperCamelCase  ,					_UpperCamelCase   :				Any       =     a, 1, 0
       else:
              ((_UpperCamelCase)  ,					(_UpperCamelCase)  ,					(_UpperCamelCase))   :				Dict       =     extended_gcd(lowercase_						,  a % b )
              _UpperCamelCase   :				List[str]       =     q
              _UpperCamelCase   :				Any       =     p - q * (a // b)

       assert a % d == 0 and b % d == 0
       assert d == a * x + b * y

       return (d, x, y)


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       if b == 0:
              return (1, 0)
       ((_UpperCamelCase)  ,					(_UpperCamelCase))   :				Optional[Any]       =     extended_euclid(lowercase_						,  a % b )
       _UpperCamelCase   :				List[Any]       =     a // b
       return (y, x - k * y)


def SCREAMING_SNAKE_CASE (   lowercase_:		int						,  lowercase_:		int ):
       if a < b:
              _UpperCamelCase  ,					_UpperCamelCase   :				Optional[int]       =     b, a

       while a % b != 0:
              _UpperCamelCase  ,					_UpperCamelCase   :				Union[str, Any]       =     b, a % b

       return b


if __name__ == "__main__":
 from doctest import testmod

 testmod(name='''modular_division''', verbose=True)
 testmod(name='''modular_division2''', verbose=True)
 testmod(name='''invert_modulo''', verbose=True)
 testmod(name='''extended_gcd''', verbose=True)
 testmod(name='''extended_euclid''', verbose=True)
 testmod(name='''greatest_common_divisor''', verbose=True)



