
"""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    (   __a					):



							'''simple docstring'''







							def __init__(    self     ,						_lowerCamelCase     ,						_lowerCamelCase = None     ,						_lowerCamelCase = None     ,						_lowerCamelCase = None     ,						_lowerCamelCase = False     ,						_lowerCamelCase = False     ,						_lowerCamelCase = None     ,						**_lowerCamelCase     ,						) ->       Union[str, Any]:




										'''simple docstring'''
										super().__init__(
										    _lowerCamelCase     ,						split=_lowerCamelCase     ,						features=_lowerCamelCase     ,						cache_dir=_lowerCamelCase     ,						keep_in_memory=_lowerCamelCase     ,						streaming=_lowerCamelCase     ,						num_proc=_lowerCamelCase     ,						**_lowerCamelCase     ,						)
										__lowercase						      =					path_or_paths if isinstance(_lowerCamelCase     ,						_lowerCamelCase					) else {self.split: path_or_paths}
										__lowercase						      =					Csv(
										    cache_dir=_lowerCamelCase     ,						data_files=_lowerCamelCase     ,						features=_lowerCamelCase     ,						**_lowerCamelCase     ,						)





							def      SCREAMING_SNAKE_CASE	(    self					) ->       Optional[int]:




										'''simple docstring'''
										# Build iterable dataset
										if self.streaming:
													__lowercase						      =					self.builder.as_streaming_dataset(split=self.split					)
										# Build regular (map-style) dataset
										else:
													__lowercase						      =					None
													__lowercase						      =					None
													__lowercase						      =					None
													__lowercase						      =					None

													self.builder.download_and_prepare(
													    download_config=_lowerCamelCase     ,						download_mode=_lowerCamelCase     ,						verification_mode=_lowerCamelCase     ,						base_path=_lowerCamelCase     ,						num_proc=self.num_proc     ,						)
													__lowercase						      =					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     ,						) ->       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.'''					)

										__lowercase						      =					dataset
										__lowercase						      =					path_or_buf
										__lowercase						      =					batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
										__lowercase						      =					num_proc
										__lowercase						      =					"utf-8"
										__lowercase						      =					to_csv_kwargs
							def      SCREAMING_SNAKE_CASE	(    self					) ->       int:




										'''simple docstring'''
										__lowercase						      =					self.to_csv_kwargs.pop("path_or_buf"     ,						_lowerCamelCase					)
										__lowercase						      =					self.to_csv_kwargs.pop("header"     ,						_lowerCamelCase					)
										__lowercase						      =					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:
																__lowercase						      =					self._write(file_obj=_lowerCamelCase     ,						header=_lowerCamelCase     ,						index=_lowerCamelCase     ,						**self.to_csv_kwargs					)
										else:
													__lowercase						      =					self._write(file_obj=self.path_or_buf     ,						header=_lowerCamelCase     ,						index=_lowerCamelCase     ,						**self.to_csv_kwargs					)
										return written
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       List[Any]:




										'''simple docstring'''
										__lowercase      ,				__lowercase      ,				__lowercase      ,				__lowercase						      =					args

										__lowercase						      =					query_table(
										    table=self.dataset.data     ,						key=slice(_lowerCamelCase     ,						offset + self.batch_size					)     ,						indices=self.dataset._indices     ,						)
										__lowercase						      =					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      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase     ,						_lowerCamelCase     ,						**_lowerCamelCase					) ->       int:




										'''simple docstring'''
										__lowercase						      =					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"     ,						):
																__lowercase						      =					self._batch_csv((offset, header, index, to_csv_kwargs)					)
																written += file_obj.write(_lowerCamelCase					)

										else:
													__lowercase      ,				__lowercase						      =					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







"""simple docstring"""






class 				__a    :



							'''simple docstring'''







							def __init__(    self     ,						_lowerCamelCase					) ->       Optional[Any]:




										'''simple docstring'''
										__lowercase						      =					data
										__lowercase						      =					None
										__lowercase						      =					None





							def __str__(    self					) ->       str:




										'''simple docstring'''
										return f'''{self.data}'''





class 				__a    :



							'''simple docstring'''







							def __init__(    self					) ->       List[str]:




										'''simple docstring'''
										__lowercase						      =					None
										__lowercase						      =					None
							def __iter__(    self					) ->       int:




										'''simple docstring'''
										__lowercase						      =					self.head
										while node:
													yield node.data
													__lowercase						      =					node.next
							def __str__(    self					) ->       Union[str, Any]:




										'''simple docstring'''
										return "->".join([str(_lowerCamelCase					) for item in self]					)
							def __len__(    self					) ->       Dict:




										'''simple docstring'''
										return sum(1 for _ in self					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Union[str, Any]:




										'''simple docstring'''
										self.insert_at_nth(0     ,						_lowerCamelCase					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       List[str]:




										'''simple docstring'''
										self.insert_at_nth(len(self					)     ,						_lowerCamelCase					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase					) ->       List[Any]:




										'''simple docstring'''
										__lowercase						      =					len(self					)

										if not 0 <= index <= length:
													raise IndexError("list index out of range"					)
										__lowercase						      =					Node(_lowerCamelCase					)
										if self.head is None:
													__lowercase						      =					__lowercase						      =					new_node
										elif index == 0:
													__lowercase						      =					new_node
													__lowercase						      =					self.head
													__lowercase						      =					new_node
										elif index == length:
													__lowercase						      =					new_node
													__lowercase						      =					self.tail
													__lowercase						      =					new_node
										else:
													__lowercase						      =					self.head
													for _ in range(0     ,						_lowerCamelCase					):
																__lowercase						      =					temp.next
													__lowercase						      =					new_node
													__lowercase						      =					temp.previous
													__lowercase						      =					temp
													__lowercase						      =					new_node
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Any:




										'''simple docstring'''
										return self.delete_at_nth(0					)
							def      SCREAMING_SNAKE_CASE	(    self					) ->       str:




										'''simple docstring'''
										return self.delete_at_nth(len(self					) - 1					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       str:




										'''simple docstring'''
										__lowercase						      =					len(self					)

										if not 0 <= index <= length - 1:
													raise IndexError("list index out of range"					)
										__lowercase						      =					self.head  # default first node
										if length == 1:
													__lowercase						      =					__lowercase						      =					None
										elif index == 0:
													__lowercase						      =					self.head.next
													__lowercase						      =					None
										elif index == length - 1:
													__lowercase						      =					self.tail
													__lowercase						      =					self.tail.previous
													__lowercase						      =					None
										else:
													__lowercase						      =					self.head
													for _ in range(0     ,						_lowerCamelCase					):
																__lowercase						      =					temp.next
													__lowercase						      =					temp
													__lowercase						      =					temp.previous
													__lowercase						      =					temp.next
										return delete_node.data
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       str:




										'''simple docstring'''
										__lowercase						      =					self.head

										while current.data != data:  # Find the position to delete
													if current.next:
																__lowercase						      =					current.next
													else:  # We have reached the end an no value matches
																raise ValueError("No data matching given value"					)

										if current == self.head:
													self.delete_head()

										elif current == self.tail:
													self.delete_tail()

										else:  # Before: 1 <--> 2(current) <--> 3
													__lowercase						      =					current.next  # 1 --> 3
													__lowercase						      =					current.previous  # 1 <--> 3
										return data





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




										'''simple docstring'''
										return len(self					) == 0





def     lowerCAmelCase__ (		)	->None:
			__lowercase						      =					DoublyLinkedList()
			assert linked_list.is_empty() is True
			assert str(__magic_name__			) == ""

			try:
						linked_list.delete_head()
						raise AssertionError  # This should not happen.
			except IndexError:
						assert True  # This should happen.

			try:
						linked_list.delete_tail()
						raise AssertionError  # This should not happen.
			except IndexError:
						assert True  # This should happen.

			for i in range(1_0			):
						assert len(__magic_name__			) == i
						linked_list.insert_at_nth(__magic_name__ ,      i + 1			)
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(1 ,      1_1			)			)

			linked_list.insert_at_head(0			)
			linked_list.insert_at_tail(1_1			)
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(0 ,      1_2			)			)

			assert linked_list.delete_head() == 0
			assert linked_list.delete_at_nth(9			) == 1_0
			assert linked_list.delete_tail() == 1_1
			assert len(__magic_name__			) == 9
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(1 ,      1_0			)			)


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

					testmod()





