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:			Optional[int]	       =       get_tests_dir("""fixtures/spiece.model""")



@require_sentencepiece
@require_tokenizers
class       UpperCAmelCase  (						__SCREAMING_SNAKE_CASE   ,						unittest.TestCase ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   DebertaVaTokenizer
       SCREAMING_SNAKE_CASE 		=   DebertaVaTokenizerFast
       SCREAMING_SNAKE_CASE 		=   True
       SCREAMING_SNAKE_CASE 		=   True

       def _lowerCAmelCase(						self			)  ->  List[str]:
        super().setUp()

        # We have a SentencePiece fixture for testing
        lowercase__    :   Any						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       unk_token='''<unk>'''			)
        tokenizer.save_pretrained(self.tmpdirname			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        lowercase__    :   Optional[Any]						= "this is a test"
        lowercase__    :   Any						= "this is a test"
        return input_text, output_text

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        lowercase__    :   Union[str, Any]						= "<pad>"
        lowercase__    :   Optional[int]						= 0

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(_SCREAMING_SNAKE_CASE			)     ,       _SCREAMING_SNAKE_CASE			)
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(_SCREAMING_SNAKE_CASE			)     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   Dict						= 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(_SCREAMING_SNAKE_CASE			)     ,       30001			)

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        self.assertEqual(self.get_tokenizer().vocab_size     ,       30000			)

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        lowercase__    :   List[Any]						= " \tHeLLo!how  \n Are yoU?  "
        lowercase__    :   str						= ["▁hello", "!", "how", "▁are", "▁you", "?"]
        # fmt: on

        lowercase__    :   Union[str, Any]						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Optional[Any]						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   str						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Tuple						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''			)
       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        pass

       @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''			)
       def _lowerCAmelCase(						self			)  ->  int:
        pass

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   List[str]						= "I was born in 92000, and this is falsé."
        lowercase__    :   Any						= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
        # fmt: on

        lowercase__    :   Tuple						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Dict						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   Tuple						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Optional[Any]						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        lowercase__    :   List[str]						= "I was born in 92000, and this is falsé."
        lowercase__    :   List[str]						= ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
        # fmt: on

        lowercase__    :   List[str]						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Dict						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   Tuple						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Union[str, Any]						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        lowercase__    :   Union[str, Any]						= "I was born in 92000, and this is falsé."
        lowercase__    :   Optional[int]						= ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
        # fmt: on

        lowercase__    :   str						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[str]						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   Union[str, Any]						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Optional[Any]						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        lowercase__    :   List[str]						= "I was born in 92000, and this is falsé."
        lowercase__    :   int						= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
        # fmt: on

        lowercase__    :   Optional[int]						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Any						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   Optional[Any]						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   int						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  Tuple:
        lowercase__    :   Optional[int]						= " \tHeLLo!how  \n Are yoU?  "
        lowercase__    :   Optional[int]						= ["▁", "<unk>", "e", "<unk>", "o", "!", "how", "▁", "<unk>", "re", "▁yo", "<unk>", "?"]
        # fmt: on

        lowercase__    :   str						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[str]						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   List[str]						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       do_lower_case=_SCREAMING_SNAKE_CASE     ,       split_by_punct=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[Any]						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)

        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  Dict:
        lowercase__    :   Union[str, Any]						= self.get_tokenizer()
        lowercase__    :   Tuple						= self.get_rust_tokenizer()

        lowercase__    :   List[Any]						= "I was born in 92000, and this is falsé."

        lowercase__    :   Any						= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)
        lowercase__    :   Dict						= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   Union[str, Any]						= tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[str]						= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   int						= self.get_rust_tokenizer()
        lowercase__    :   List[str]						= tokenizer.encode(_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Optional[int]						= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   str						= "This is a test"
        lowercase__    :   Dict						= [13, 1, 4398, 25, 21, 1289]
        lowercase__    :   Tuple						= ["▁", "T", "his", "▁is", "▁a", "▁test"]
        lowercase__    :   Optional[Any]						= ["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

        lowercase__    :   Dict						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE     ,       keep_accents=_SCREAMING_SNAKE_CASE			)
        lowercase__    :   int						= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE     ,       keep_accents=_SCREAMING_SNAKE_CASE			)

        lowercase__    :   Union[str, Any]						= tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[str]						= tokenizer.tokenize(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   Tuple						= tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   int						= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   Tuple						= rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   Dict						= rust_tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

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

        lowercase__    :   Tuple						= tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   str						= tokenizer.tokenize(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[Any]						= tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

        lowercase__    :   str						= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE     ,       add_special_tokens=_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   Optional[int]						= rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)
        lowercase__    :   List[str]						= rust_tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE			)
        self.assertListEqual(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

       def _lowerCAmelCase(						self			)  ->  str:
        lowercase__    :   List[Any]						= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE			)

        lowercase__    :   Optional[int]						= tokenizer.encode('''sequence builders'''			)
        lowercase__    :   Union[str, Any]						= tokenizer.encode('''multi-sequence build'''			)

        lowercase__    :   Optional[Any]						= tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE			)
        lowercase__    :   Optional[int]						= tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE			)

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


       @slow
       def _lowerCAmelCase(						self			)  ->  Tuple:
        lowercase__    :   Any						= {"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=_SCREAMING_SNAKE_CASE     ,       model_name='''microsoft/deberta-v2-xlarge'''     ,       revision='''ad6e42c1532ddf3a15c39246b63f5559d558b670'''     ,       )


'''simple docstring'''

import io
import itertools
import json
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa
import pyarrow.json as paj

import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline


__a:			Tuple	       =       datasets.utils.logging.get_logger(__name__)



@dataclass
class       UpperCAmelCase  (						datasets.BuilderConfig ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   None
       SCREAMING_SNAKE_CASE 		=   "utf-8"
       SCREAMING_SNAKE_CASE 		=   None
       SCREAMING_SNAKE_CASE 		=   None
       SCREAMING_SNAKE_CASE 		=   True  # deprecated
       SCREAMING_SNAKE_CASE 		=   None  # deprecated
       SCREAMING_SNAKE_CASE 		=   1_0 << 2_0  # 10MB
       SCREAMING_SNAKE_CASE 		=   None



class       UpperCAmelCase  (						datasets.ArrowBasedBuilder ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   JsonConfig

       def _lowerCAmelCase(						self			)  ->  Any:
        if self.config.block_size is not None:
         logger.warning('''The JSON loader parameter `block_size` is deprecated. Please use `chunksize` instead'''			)
         lowercase__    :   Tuple						= self.config.block_size
        if self.config.use_threads is not True:
         logger.warning(
             '''The JSON loader parameter `use_threads` is deprecated and doesn\'t have any effect anymore.'''			)
        if self.config.newlines_in_values is not None:
         raise ValueError('''The JSON loader parameter `newlines_in_values` is no longer supported'''			)
        return datasets.DatasetInfo(features=self.config.features			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Optional[Any]:
        if not self.config.data_files:
         raise ValueError(F"""At least one data file must be specified, but got data_files={self.config.data_files}"""			)
        lowercase__    :   List[str]						= dl_manager.download_and_extract(self.config.data_files			)
        if isinstance(__lowerCAmelCase     ,       (str, list, tuple)			):
         lowercase__    :   List[str]						= data_files
         if isinstance(__lowerCAmelCase     ,       __lowerCAmelCase			):
          lowercase__    :   Union[str, Any]						= [files]
         lowercase__    :   Dict						= [dl_manager.iter_files(__lowerCAmelCase			) for file in files]
         return [datasets.SplitGenerator(name=datasets.Split.TRAIN     ,       gen_kwargs={'''files''': files}			)]
        lowercase__    :   str						= []
        for split_name, files in data_files.items():
         if isinstance(__lowerCAmelCase     ,       __lowerCAmelCase			):
          lowercase__    :   List[str]						= [files]
         lowercase__    :   Optional[Any]						= [dl_manager.iter_files(__lowerCAmelCase			) for file in files]
         splits.append(datasets.SplitGenerator(name=__lowerCAmelCase     ,       gen_kwargs={'''files''': files}			)			)
        return splits

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  pa.Table:
        if self.config.features is not None:
         # adding missing columns
         for column_name in set(self.config.features			) - set(pa_table.column_names			):
          lowercase__    :   Optional[int]						= self.config.features.arrow_schema.field(__lowerCAmelCase			).type
          lowercase__    :   Union[str, Any]						= pa_table.append_column(__lowerCAmelCase     ,       pa.array([None] * len(__lowerCAmelCase			)     ,       type=__lowerCAmelCase			)			)
         # more expensive cast to support nested structures with keys in a different order
         # allows str <-> int/float or str to Audio for example
         lowercase__    :   Dict						= table_cast(__lowerCAmelCase     ,       self.config.features.arrow_schema			)
        return pa_table


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Optional[int]:
        for file_idx, file in enumerate(itertools.chain.from_iterable(__lowerCAmelCase			)			):
         # If the file is one json object and if we need to look at the list of items in one specific field
         if self.config.field is not None:
          with open(__lowerCAmelCase     ,       encoding=self.config.encoding     ,       errors=self.config.encoding_errors			) as f:
           lowercase__    :   Dict						= json.load(__lowerCAmelCase			)

          # We keep only the field we are interested in
          lowercase__    :   Any						= dataset[self.config.field]

          # We accept two format: a list of dicts or a dict of lists
          if isinstance(__lowerCAmelCase     ,       (list, tuple)			):
           lowercase__    :   List[Any]						= set().union(*[row.keys() for row in dataset]			)
           lowercase__    :   List[Any]						= {col: [row.get(__lowerCAmelCase			) for row in dataset] for col in keys}
          else:
           lowercase__    :   Union[str, Any]						= dataset
          lowercase__    :   Optional[int]						= pa.Table.from_pydict(__lowerCAmelCase			)
          yield file_idx, self._cast_table(__lowerCAmelCase			)

         # If the file has one json object per line
         else:
          with open(__lowerCAmelCase     ,       '''rb'''			) as f:
           lowercase__    :   Optional[int]						= 0
           # Use block_size equal to the chunk size divided by 32 to leverage multithreading
           # Set a default minimum value of 16kB if the chunk size is really small
           lowercase__    :   List[str]						= max(self.config.chunksize // 32     ,       16 << 10			)
           lowercase__    :   Union[str, Any]						= (
               self.config.encoding_errors if self.config.encoding_errors is not None else '''strict'''
           )
           while True:
            lowercase__    :   Tuple						= f.read(self.config.chunksize			)
            if not batch:
             break
            # Finish current line
            try:
             batch += f.readline()
            except (AttributeError, io.UnsupportedOperation):
             batch += readline(__lowerCAmelCase			)
            # PyArrow only accepts utf-8 encoded bytes
            if self.config.encoding != "utf-8":
             lowercase__    :   Dict						= batch.decode(self.config.encoding     ,       errors=__lowerCAmelCase			).encode('''utf-8'''			)
            try:
             while True:
              try:
               lowercase__    :   str						= paj.read_json(
                   io.BytesIO(__lowerCAmelCase			)     ,       read_options=paj.ReadOptions(block_size=__lowerCAmelCase			)			)
               break
              except (pa.ArrowInvalid, pa.ArrowNotImplementedError) as e:
               if (
                   isinstance(__lowerCAmelCase     ,       pa.ArrowInvalid			)
                   and "straddling" not in str(__lowerCAmelCase			)
                   or block_size > len(__lowerCAmelCase			)
               ):
                raise
               else:
                # Increase the block size in case it was too small.
                # The block size will be reset for the next file.
                logger.debug(
                    F"""Batch of {len(__lowerCAmelCase			)} bytes couldn't be parsed with block_size={block_size}. Retrying with block_size={block_size * 2}."""			)
                block_size *= 2
            except pa.ArrowInvalid as e:
             try:
              with open(
                  __lowerCAmelCase     ,       encoding=self.config.encoding     ,       errors=self.config.encoding_errors			) as f:
               lowercase__    :   Optional[int]						= json.load(__lowerCAmelCase			)
             except json.JSONDecodeError:
              logger.error(F"""Failed to read file '{file}' with error {type(__lowerCAmelCase			)}: {e}"""			)
              raise e
             # If possible, parse the file as a list of json objects and exit the loop
             if isinstance(__lowerCAmelCase     ,       __lowerCAmelCase			):  # list is the only sequence type supported in JSON
              try:
               lowercase__    :   List[Any]						= set().union(*[row.keys() for row in dataset]			)
               lowercase__    :   str						= {col: [row.get(__lowerCAmelCase			) for row in dataset] for col in keys}
               lowercase__    :   Optional[int]						= pa.Table.from_pydict(__lowerCAmelCase			)
              except (pa.ArrowInvalid, AttributeError) as e:
               logger.error(F"""Failed to read file '{file}' with error {type(__lowerCAmelCase			)}: {e}"""			)
               raise ValueError(F"""Not able to read records in the JSON file at {file}."""			) from None
              yield file_idx, self._cast_table(__lowerCAmelCase			)
              break
             else:
              logger.error(F"""Failed to read file '{file}' with error {type(__lowerCAmelCase			)}: {e}"""			)
              raise ValueError(
                  F"""Not able to read records in the JSON file at {file}. """
                  F"""You should probably indicate the field of the JSON file containing your records. """
                  F"""This JSON file contain the following fields: {str(list(dataset.keys()			)			)}. """
                  F"""Select the correct one and provide it as `field='XXX'` to the dataset loading method. """			) from None
                        # Uncomment for debugging (will print the Arrow table size and elements)
                        # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
                        # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
            yield (file_idx, batch_idx), self._cast_table(__lowerCAmelCase			)
            batch_idx += 1

