
"""simple docstring"""

from __future__ import annotations

from typing import Any

class __lowerCAmelCase		:





     def __init__(     self     ,					__UpperCAmelCase = 6				):

      '''simple docstring'''




      __UpperCamelCase      =	None
      __UpperCamelCase      =	None
      self.create_linked_list(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	Node()
      __UpperCamelCase      =	current_node
      __UpperCamelCase      =	current_node
      __UpperCamelCase      =	current_node
      for _ in range(1     ,					__UpperCAmelCase				):
       __UpperCamelCase      =	Node()
       __UpperCamelCase      =	current_node
       __UpperCamelCase      =	previous_node
       __UpperCamelCase      =	current_node
      __UpperCamelCase      =	self.front
      __UpperCamelCase      =	previous_node





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return (
          self.front == self.rear
          and self.front is not None
          and self.front.data is None
      )





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      self.check_can_perform_operation()
      return self.front.data if self.front else None





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      if self.rear is None:
       return

      self.check_is_full()
      if not self.is_empty():
       __UpperCamelCase      =	self.rear.next
      if self.rear:
       __UpperCamelCase      =	data





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      self.check_can_perform_operation()
      if self.rear is None or self.front is None:
       return None
      if self.front == self.rear:
       __UpperCamelCase      =	self.front.data
       __UpperCamelCase      =	None
       return data

      __UpperCamelCase      =	self.front
      __UpperCamelCase      =	old_front.next
      __UpperCamelCase      =	old_front.data
      __UpperCamelCase      =	None
      return data





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      if self.is_empty():
       raise Exception('Empty Queue'				)







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      if self.rear and self.rear.next == self.front:
       raise Exception('Full Queue'				)


class __lowerCAmelCase		:





     def __init__(     self				):

      '''simple docstring'''




      __UpperCamelCase      =	None
      __UpperCamelCase      =	None
      __UpperCamelCase      =	None


if __name__ == "__main__":
      import doctest

      doctest.testmod()





"""simple docstring"""

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

import fsspec

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

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





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

      '''simple docstring'''




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







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




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

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


class __lowerCAmelCase		:





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

      '''simple docstring'''




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

      __UpperCamelCase      =	dataset
      __UpperCamelCase      =	path_or_buf
      __UpperCamelCase      =	batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
      __UpperCamelCase      =	num_proc
      __UpperCamelCase      =	'utf-8'
      __UpperCamelCase      =	to_json_kwargs





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	self.to_json_kwargs.pop('path_or_buf'     ,					__UpperCAmelCase				)
      __UpperCamelCase      =	self.to_json_kwargs.pop('orient'     ,					'records'				)
      __UpperCamelCase      =	self.to_json_kwargs.pop('lines'     ,					True if orient == 'records' else False				)
      __UpperCamelCase      =	self.to_json_kwargs.pop('index'     ,					False if orient in ['split', 'table'] else True				)
      __UpperCamelCase      =	self.to_json_kwargs.pop('compression'     ,					__UpperCAmelCase				)

      if compression not in [None, "infer", "gzip", "bz2", "xz"]:
       raise NotImplementedError(F'`datasets` currently does not support {compression} compression'				)

      if isinstance(self.path_or_buf     ,					(str, bytes, os.PathLike)				):
       with fsspec.open(self.path_or_buf     ,					'wb'     ,					compression=__UpperCAmelCase				) as buffer:
        __UpperCamelCase      =	self._write(file_obj=__UpperCAmelCase     ,					orient=__UpperCAmelCase     ,					lines=__UpperCAmelCase     ,					index=__UpperCAmelCase     ,					**self.to_json_kwargs				)
      else:
       if compression:
        raise NotImplementedError(
            F'The compression parameter is not supported when writing to a buffer, but compression={compression}'
            ' was passed. Please provide a local path instead.'				)
       __UpperCamelCase      =	self._write(
           file_obj=self.path_or_buf     ,					orient=__UpperCAmelCase     ,					lines=__UpperCAmelCase     ,					index=__UpperCAmelCase     ,					**self.to_json_kwargs				)
      return written





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase      =	args

      __UpperCamelCase      =	query_table(
          table=self.dataset.data     ,					key=slice(__UpperCAmelCase     ,					offset + self.batch_size				)     ,					indices=self.dataset._indices     ,					)
      __UpperCamelCase      =	batch.to_pandas().to_json(
          path_or_buf=__UpperCAmelCase     ,					orient=__UpperCAmelCase     ,					lines=__UpperCAmelCase     ,					index=__UpperCAmelCase     ,					**__UpperCAmelCase				)
      if not json_str.endswith('\n'				):
       json_str += "\n"
      return json_str.encode(self.encoding				)







     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	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 json from Arrow format'     ,					):
        __UpperCamelCase      =	self._batch_json((offset, orient, lines, index, to_json_kwargs)				)
        written += file_obj.write(__UpperCAmelCase				)
      else:
       __UpperCamelCase  ,     __UpperCamelCase      =	len(self.dataset				), self.batch_size
       with multiprocessing.Pool(self.num_proc				) as pool:
        for json_str in logging.tqdm(
            pool.imap(
                self._batch_json     ,					[(offset, orient, lines, index, to_json_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 json from Arrow format'     ,					):
         written += file_obj.write(__UpperCAmelCase				)

      return written



