






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 	lowercase_      (			lowercase     ):






      '''simple docstring'''




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




       """simple docstring"""


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







      def    __lowerCAmelCase      (   self   :		Any						)					->Optional[Any]:




       """simple docstring"""


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

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






class 	lowercase_      :






      '''simple docstring'''




      def __init__(   self   :		List[str]				,      __UpperCAmelCase   :		Dataset				,      __UpperCAmelCase   :		Union[PathLike, BinaryIO]				,      __UpperCAmelCase   :		Optional[int] = None				,      __UpperCAmelCase   :		Optional[int] = None				,      **__UpperCAmelCase   :		int				,      )					->Tuple:




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







      def    __lowerCAmelCase      (   self   :		List[str]						)					->int:




       """simple docstring"""


       a							=   self.to_csv_kwargs.pop('''path_or_buf'''				,      __UpperCAmelCase						)
       a							=   self.to_csv_kwargs.pop('''header'''				,      __UpperCAmelCase						)
       a							=   self.to_csv_kwargs.pop('''index'''				,      __UpperCAmelCase						)

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







      def    __lowerCAmelCase      (   self   :		Dict				,      __UpperCAmelCase   :		int						)					->List[Any]:




       """simple docstring"""


       a						,  a						,  a						,  a							=   args

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







      def    __lowerCAmelCase      (   self   :		List[Any]				,      __UpperCAmelCase   :		BinaryIO				,      __UpperCAmelCase   :		Union[str, Any]				,      __UpperCAmelCase   :		Any				,      **__UpperCAmelCase   :		int						)					->int:




       """simple docstring"""


       a							=   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'''				,      ):
         a							=   self._batch_csv((offset, header, index, to_csv_kwargs)						)
         written += file_obj.write(__UpperCAmelCase						)

       else:
        a						,  a							=   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				,      __UpperCAmelCase				,      __UpperCAmelCase						)]				,      )				,      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(__UpperCAmelCase						)

       return written










import numpy as np

UpperCAmelCase__            =	[
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]






class 	lowercase_      :






      '''simple docstring'''




      def __init__(   self   :		Optional[Any]						)					->None:




       """simple docstring"""


       a							=   np.array(__UpperCAmelCase						)







      def    __lowerCAmelCase      (   self   :		List[str]				,      __UpperCAmelCase   :		str						)					->np.ndarray:




       """simple docstring"""


       a						,  a							=   np.where(letter == self.SQUARE						)
       a							=   np.concatenate([indexa + 1, indexa + 1]						)
       return indexes







      def    __lowerCAmelCase      (   self   :		int				,      __UpperCAmelCase   :		int				,      __UpperCAmelCase   :		int						)					->str:




       """simple docstring"""


       return self.SQUARE[indexa - 1, indexa - 1]







      def    __lowerCAmelCase      (   self   :		Tuple				,      __UpperCAmelCase   :		str						)					->str:




       """simple docstring"""


       a							=   message.lower()
       a							=   message.replace('''j'''				,      '''i'''						)

       a							=   ''''''
       for letter_index in range(len(__UpperCAmelCase						)						):
        if message[letter_index] != " ":
         a							=   self.letter_to_numbers(message[letter_index]						)
         a							=   encoded_message + str(numbers[0]						) + str(numbers[1]						)
        elif message[letter_index] == " ":
         a							=   encoded_message + ''' '''

       return encoded_message







      def    __lowerCAmelCase      (   self   :		Any				,      __UpperCAmelCase   :		str						)					->str:




       """simple docstring"""


       a							=   message.replace(''' '''				,      '''  '''						)
       a							=   ''''''
       for numbers_index in range(int(len(__UpperCAmelCase						) / 2						)						):
        if message[numbers_index * 2] != " ":
         a							=   message[numbers_index * 2]
         a							=   message[numbers_index * 2 + 1]

         a							=   self.numbers_to_letter(int(__UpperCAmelCase						)				,      int(__UpperCAmelCase						)						)
         a							=   decoded_message + letter
        elif message[numbers_index * 2] == " ":
         a							=   decoded_message + ''' '''

       return decoded_message


