




"""simple docstring"""
import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


a_				:    Any										=     get_tests_dir('''fixtures/spiece.model''')

@require_sentencepiece
@require_tokenizers
class __lowercase(      lowercase__	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						int     		= DebertaVaTokenizer
					__a						:						List[str]     		= DebertaVaTokenizerFast
					__a						:						Any     		= True
					__a						:						int     		= True
					def     snake_case_				(    self     ):
								super().setUp()

								# We have a SentencePiece fixture for testing
								__lowerCamelCase					:	int	       =				DebertaVaTokenizer(__a						,	unk_token='<unk>'     )
								tokenizer.save_pretrained(self.tmpdirname     )
					def     snake_case_				(    self						,	__a     ):
								__lowerCamelCase					:	Union[str, Any]	       =				'this is a test'
								__lowerCamelCase					:	int	       =				'this is a test'
								return input_text, output_text
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				'<pad>'
								__lowerCamelCase					:	Union[str, Any]	       =				0

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(__a     )						,	__a     )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(__a     )						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				list(self.get_tokenizer().get_vocab().keys()     )
								self.assertEqual(vocab_keys[0]						,	'<pad>'     )
								self.assertEqual(vocab_keys[1]						,	'<unk>'     )
								self.assertEqual(vocab_keys[-1]						,	'[PAD]'     )
								self.assertEqual(len(__a     )						,	30001     )
					def     snake_case_				(    self     ):
								self.assertEqual(self.get_tokenizer().vocab_size						,	30000     )
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	Tuple	       =				' \tHeLLo!how  \n Are yoU?  '
								__lowerCamelCase					:	Dict	       =				['▁hello', '!', 'how', '▁are', '▁you', '?']
								# fmt: on

								__lowerCamelCase					:	Any	       =				DebertaVaTokenizer(__a						,	do_lower_case=__a     )
								__lowerCamelCase					:	Optional[int]	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Union[str, Any]	       =				DebertaVaTokenizerFast(__a						,	do_lower_case=__a     )
								__lowerCamelCase					:	Dict	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )
					@unittest.skip('There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'     )
					def     snake_case_				(    self     ):
								pass
					@unittest.skip('There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'     )
					def     snake_case_				(    self     ):
								pass
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	Optional[Any]	       =				'I was born in 92000, and this is falsé.'
								__lowerCamelCase					:	List[Any]	       =				['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
								# fmt: on

								__lowerCamelCase					:	Any	       =				DebertaVaTokenizer(__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Dict	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Optional[Any]	       =				DebertaVaTokenizerFast(__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	int	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	Optional[int]	       =				'I was born in 92000, and this is falsé.'
								__lowerCamelCase					:	Dict	       =				['▁i', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
								# fmt: on

								__lowerCamelCase					:	str	       =				DebertaVaTokenizer(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Union[str, Any]	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	List[Any]	       =				DebertaVaTokenizerFast(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	int	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )
								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	Any	       =				'I was born in 92000, and this is falsé.'
								__lowerCamelCase					:	Optional[Any]	       =				['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
								# fmt: on

								__lowerCamelCase					:	Tuple	       =				DebertaVaTokenizer(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Tuple	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Union[str, Any]	       =				DebertaVaTokenizerFast(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Tuple	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	List[Any]	       =				'I was born in 92000, and this is falsé.'
								__lowerCamelCase					:	Optional[int]	       =				['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
								# fmt: on

								__lowerCamelCase					:	int	       =				DebertaVaTokenizer(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	str	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Dict	       =				DebertaVaTokenizerFast(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Optional[int]	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	int	       =				' \tHeLLo!how  \n Are yoU?  '
								__lowerCamelCase					:	Any	       =				['▁', '<unk>', 'e', '<unk>', 'o', '!', 'how', '▁', '<unk>', 're', '▁yo', '<unk>', '?']
								# fmt: on

								__lowerCamelCase					:	Tuple	       =				DebertaVaTokenizer(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Union[str, Any]	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Optional[int]	       =				DebertaVaTokenizerFast(__a						,	do_lower_case=__a						,	split_by_punct=__a     )
								__lowerCamelCase					:	Tuple	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )

								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				self.get_tokenizer()
								__lowerCamelCase					:	Optional[int]	       =				self.get_rust_tokenizer()

								__lowerCamelCase					:	int	       =				'I was born in 92000, and this is falsé.'

								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.convert_ids_to_tokens(tokenizer.encode(__a						,	add_special_tokens=__a     )     )
								__lowerCamelCase					:	Optional[Any]	       =				rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__a						,	add_special_tokens=__a     )     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	List[Any]	       =				tokenizer.encode(__a						,	add_special_tokens=__a     )
								__lowerCamelCase					:	Tuple	       =				rust_tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	int	       =				self.get_rust_tokenizer()
								__lowerCamelCase					:	Tuple	       =				tokenizer.encode(__a     )
								__lowerCamelCase					:	Dict	       =				rust_tokenizer.encode(__a     )
								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				'This is a test'
								__lowerCamelCase					:	Optional[int]	       =				[13, 1, 4398, 25, 21, 1289]
								__lowerCamelCase					:	int	       =				['▁', 'T', 'his', '▁is', '▁a', '▁test']
								__lowerCamelCase					:	Optional[Any]	       =				['▁', '<unk>', 'his', '▁is', '▁a', '▁test']

								__lowerCamelCase					:	Optional[int]	       =				DebertaVaTokenizer(__a						,	keep_accents=__a     )
								__lowerCamelCase					:	str	       =				DebertaVaTokenizerFast(__a						,	keep_accents=__a     )

								__lowerCamelCase					:	Tuple	       =				tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	Optional[int]	       =				tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	Dict	       =				tokenizer.convert_ids_to_tokens(__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Optional[int]	       =				rust_tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	Union[str, Any]	       =				rust_tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	Tuple	       =				rust_tokenizer.convert_ids_to_tokens(__a     )
								self.assertListEqual(__a						,	__a     )

								# fmt: off
								__lowerCamelCase					:	Tuple	       =				'I was born in 92000, and this is falsé.'
								__lowerCamelCase					:	Tuple	       =				[13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
								__lowerCamelCase					:	Any	       =				['▁', 'I', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.', ]
								__lowerCamelCase					:	Optional[int]	       =				['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
								# fmt: on

								__lowerCamelCase					:	int	       =				tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	Dict	       =				tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.convert_ids_to_tokens(__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Optional[int]	       =				rust_tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	int	       =				rust_tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )
								__lowerCamelCase					:	List[str]	       =				rust_tokenizer.convert_ids_to_tokens(__a     )
								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				DebertaVaTokenizer(__a     )

								__lowerCamelCase					:	Optional[int]	       =				tokenizer.encode('sequence builders'     )
								__lowerCamelCase					:	List[Any]	       =				tokenizer.encode('multi-sequence build'     )

								__lowerCamelCase					:	List[Any]	       =				tokenizer.build_inputs_with_special_tokens(__a     )
								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.build_inputs_with_special_tokens(__a						,	__a     )

								self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]						,	__a     )
								self.assertEqual(
								    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]						,	__a						,	)





					@slow
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	Tuple	       =				{'input_ids': [[1, 39867, 36, 19390, 486, 27, 35052, 81436, 18, 60685, 1225, 7, 35052, 81436, 18, 9367, 16899, 18, 15937, 53, 594, 773, 18, 16287, 30465, 36, 15937, 6, 41139, 38, 36979, 60763, 191, 6, 34132, 99, 6, 50538, 390, 43230, 6, 34132, 2779, 20850, 14, 699, 1072, 1194, 36, 382, 10901, 53, 7, 699, 1072, 2084, 36, 20422, 630, 53, 19, 105, 3049, 1896, 1053, 16899, 1506, 11, 37978, 4243, 7, 1237, 31869, 200, 16566, 654, 6, 35052, 81436, 7, 55630, 13593, 4, 2], [1, 26, 15011, 13, 667, 8, 1053, 18, 23611, 1237, 72356, 12820, 34, 104134, 1209, 35, 13313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 15785, 14951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
								# fmt: on

								self.tokenizer_integration_test_util(
								    expected_encoding=__a						,	model_name='microsoft/deberta-v2-xlarge'						,	revision='ad6e42c1532ddf3a15c39246b63f5559d558b670'						,	)









"""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 __lowercase(      lowercase__				):




					'''simple docstring'''


					def __init__(    self						,	__a						,	__a = None						,	__a = None						,	__a = None						,	__a = False						,	__a = False						,	__a = None						,	__a = None						,	**__a						,	):
								super().__init__(
								    __a						,	split=__a						,	features=__a						,	cache_dir=__a						,	keep_in_memory=__a						,	streaming=__a						,	num_proc=__a						,	**__a						,	)
								__lowerCamelCase					:	List[Any]	       =				field
								__lowerCamelCase					:	Dict	       =				path_or_paths if isinstance(__a						,	__a     ) else {self.split: path_or_paths}
								__lowerCamelCase					:	str	       =				Json(
								    cache_dir=__a						,	data_files=__a						,	features=__a						,	field=__a						,	**__a						,	)





					def     snake_case_				(    self     ):
								# Build iterable dataset
								if self.streaming:
											__lowerCamelCase					:	str	       =				self.builder.as_streaming_dataset(split=self.split     )
								# Build regular (map-style) dataset
								else:
											__lowerCamelCase					:	Any	       =				None
											__lowerCamelCase					:	Any	       =				None
											__lowerCamelCase					:	str	       =				None
											__lowerCamelCase					:	int	       =				None

											self.builder.download_and_prepare(
											    download_config=__a						,	download_mode=__a						,	verification_mode=__a						,	base_path=__a						,	num_proc=self.num_proc						,	)
											__lowerCamelCase					:	List[Any]	       =				self.builder.as_dataset(
											    split=self.split						,	verification_mode=__a						,	in_memory=self.keep_in_memory     )
								return dataset



class __lowercase:




					'''simple docstring'''


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

								__lowerCamelCase					:	Optional[int]	       =				dataset
								__lowerCamelCase					:	Optional[int]	       =				path_or_buf
								__lowerCamelCase					:	List[str]	       =				batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
								__lowerCamelCase					:	str	       =				num_proc
								__lowerCamelCase					:	Optional[Any]	       =				'utf-8'
								__lowerCamelCase					:	Optional[int]	       =				to_json_kwargs
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				self.to_json_kwargs.pop('path_or_buf'						,	__a     )
								__lowerCamelCase					:	Any	       =				self.to_json_kwargs.pop('orient'						,	'records'     )
								__lowerCamelCase					:	List[Any]	       =				self.to_json_kwargs.pop('lines'						,	True if orient == 'records' else False     )
								__lowerCamelCase					:	Tuple	       =				self.to_json_kwargs.pop('index'						,	False if orient in ['split', 'table'] else True     )
								__lowerCamelCase					:	int	       =				self.to_json_kwargs.pop('compression'						,	__a     )

								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=__a     ) as buffer:
														__lowerCamelCase					:	int	       =				self._write(file_obj=__a						,	orient=__a						,	lines=__a						,	index=__a						,	**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.'     )
											__lowerCamelCase					:	Dict	       =				self._write(
											    file_obj=self.path_or_buf						,	orient=__a						,	lines=__a						,	index=__a						,	**self.to_json_kwargs     )
								return written
					def     snake_case_				(    self						,	__a     ):
								__lowerCamelCase       ,      __lowerCamelCase       ,      __lowerCamelCase       ,      __lowerCamelCase       ,      __lowerCamelCase					:	Union[str, Any]	       =				args

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





					def     snake_case_				(    self						,	__a						,	__a						,	__a						,	__a						,	**__a						,	):
								__lowerCamelCase					:	Any	       =				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'						,	):
														__lowerCamelCase					:	List[str]	       =				self._batch_json((offset, orient, lines, index, to_json_kwargs)     )
														written += file_obj.write(__a     )
								else:
											__lowerCamelCase       ,      __lowerCamelCase					:	Optional[int]	       =				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						,	__a						,	__a     )]						,	)						,	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(__a     )

								return written



