


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


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



@require_sentencepiece
@require_tokenizers
class A__     ( A__				,		unittest.TestCase  ):



  """simple docstring"""



  _lowercase									=		DebertaVaTokenizer
  _lowercase									=		DebertaVaTokenizerFast
  _lowercase									=		True
  _lowercase									=		True

  def    _UpperCamelCase( self			:  Tuple       ):
        super().setUp()

        # We have a SentencePiece fixture for testing
        a__	:  Optional[int]     =   DebertaVaTokenizer(lowerCamelCase__				,				unk_token="<unk>"       )
        tokenizer.save_pretrained(self.tmpdirname       )

  def    _UpperCamelCase( self			:  Dict				,				lowerCamelCase__			:  Dict       ):
        a__	:  Optional[int]     =   "this is a test"
        a__	:  Dict     =   "this is a test"
        return input_text, output_text

  def    _UpperCamelCase( self			:  Optional[Any]       ):
        a__	:  int     =   "<pad>"
        a__	:  List[str]     =   0

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

  def    _UpperCamelCase( self			:  List[Any]       ):
        a__	:  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(lowerCamelCase__       )				,				30_001       )

  def    _UpperCamelCase( self			:  Optional[int]       ):
        self.assertEqual(self.get_tokenizer().vocab_size				,				30_000       )

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

        a__	:  Tuple     =   DebertaVaTokenizer(lowerCamelCase__				,				do_lower_case=lowerCamelCase__       )
        a__	:  List[Any]     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  Union[str, Any]     =   DebertaVaTokenizerFast(lowerCamelCase__				,				do_lower_case=lowerCamelCase__       )
        a__	:  str     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

  @unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."       )
  def    _UpperCamelCase( self			:  Any       ):
        pass

  @unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."       )
  def    _UpperCamelCase( self			:  Optional[int]       ):
        pass

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

        a__	:  Any     =   DebertaVaTokenizer(lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  int     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  Optional[int]     =   DebertaVaTokenizerFast(lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  Optional[int]     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

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

        a__	:  Tuple     =   DebertaVaTokenizer(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  List[Any]     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  Union[str, Any]     =   DebertaVaTokenizerFast(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  Optional[Any]     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

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

        a__	:  Dict     =   DebertaVaTokenizer(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  Tuple     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  List[str]     =   DebertaVaTokenizerFast(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  Optional[Any]     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

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

        a__	:  Union[str, Any]     =   DebertaVaTokenizer(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  List[Any]     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  str     =   DebertaVaTokenizerFast(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  Optional[Any]     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

  def    _UpperCamelCase( self			:  List[Any]       ):
        # fmt: off
        a__	:  List[Any]     =   " \tHeLLo!how  \n Are yoU?  "
        a__	:  List[str]     =   ["▁", "<unk>", "e", "<unk>", "o", "!", "how", "▁", "<unk>", "re", "▁yo", "<unk>", "?"]
        # fmt: on

        a__	:  Tuple     =   DebertaVaTokenizer(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  Optional[int]     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  Tuple     =   DebertaVaTokenizerFast(lowerCamelCase__				,				do_lower_case=lowerCamelCase__				,				split_by_punct=lowerCamelCase__       )
        a__	:  List[Any]     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )

        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

  def    _UpperCamelCase( self			:  Tuple       ):
        a__	:  Tuple     =   self.get_tokenizer()
        a__	:  List[Any]     =   self.get_rust_tokenizer()

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

        a__	:  List[Any]     =   tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )
        a__	:  Optional[int]     =   rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  Optional[int]     =   tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )
        a__	:  Optional[int]     =   rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  str     =   self.get_rust_tokenizer()
        a__	:  Tuple     =   tokenizer.encode(lowerCamelCase__       )
        a__	:  Tuple     =   rust_tokenizer.encode(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

  def    _UpperCamelCase( self			:  Union[str, Any]       ):
        a__	:  Optional[int]     =   "This is a test"
        a__	:  str     =   [13, 1, 4_398, 25, 21, 1_289]
        a__	:  Any     =   ["▁", "T", "his", "▁is", "▁a", "▁test"]
        a__	:  int     =   ["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

        a__	:  List[str]     =   DebertaVaTokenizer(lowerCamelCase__				,				keep_accents=lowerCamelCase__       )
        a__	:  Optional[int]     =   DebertaVaTokenizerFast(lowerCamelCase__				,				keep_accents=lowerCamelCase__       )

        a__	:  List[Any]     =   tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )
        a__	:  List[Any]     =   tokenizer.tokenize(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )
        a__	:  Dict     =   tokenizer.convert_ids_to_tokens(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

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

        # fmt: off
        a__	:  Tuple     =   "I was born in 92000, and this is falsé."
        a__	:  List[Any]     =   [13, 1, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]
        a__	:  str     =   ["▁", "I", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", ".", ]
        a__	:  Union[str, Any]     =   ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
        # fmt: on

        a__	:  Union[str, Any]     =   tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )
        a__	:  Tuple     =   tokenizer.tokenize(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )
        a__	:  Optional[Any]     =   tokenizer.convert_ids_to_tokens(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

        a__	:  List[str]     =   rust_tokenizer.encode(lowerCamelCase__				,				add_special_tokens=lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )
        a__	:  List[Any]     =   rust_tokenizer.tokenize(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )
        a__	:  Dict     =   rust_tokenizer.convert_ids_to_tokens(lowerCamelCase__       )
        self.assertListEqual(lowerCamelCase__				,				lowerCamelCase__       )

  def    _UpperCamelCase( self			:  Optional[Any]       ):
        a__	:  str     =   DebertaVaTokenizer(lowerCamelCase__       )

        a__	:  int     =   tokenizer.encode("sequence builders"       )
        a__	:  Optional[int]     =   tokenizer.encode("multi-sequence build"       )

        a__	:  Optional[int]     =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase__       )
        a__	:  Any     =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase__				,				lowerCamelCase__       )

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

  @slow
  def    _UpperCamelCase( self			:  Union[str, Any]       ):
        # fmt: off
        a__	:  str     =   {"input_ids": [[1, 39_867, 36, 19_390, 486, 27, 35_052, 81_436, 18, 60_685, 1_225, 7, 35_052, 81_436, 18, 9_367, 16_899, 18, 15_937, 53, 594, 773, 18, 16_287, 30_465, 36, 15_937, 6, 41_139, 38, 36_979, 60_763, 191, 6, 34_132, 99, 6, 50_538, 390, 43_230, 6, 34_132, 2_779, 20_850, 14, 699, 1_072, 1_194, 36, 382, 10_901, 53, 7, 699, 1_072, 2_084, 36, 20_422, 630, 53, 19, 105, 3_049, 1_896, 1_053, 16_899, 1_506, 11, 37_978, 4_243, 7, 1_237, 31_869, 200, 16_566, 654, 6, 35_052, 81_436, 7, 55_630, 13_593, 4, 2], [1, 26, 15_011, 13, 667, 8, 1_053, 18, 23_611, 1_237, 72_356, 12_820, 34, 104_134, 1_209, 35, 13_313, 6_627, 21, 202, 347, 7, 164, 2_399, 11, 46, 4_485, 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, 1_232, 2_864, 15_785, 14_951, 105, 5, 8_581, 1_250, 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=lowerCamelCase__				,				model_name="microsoft/deberta-v2-xlarge"				,				revision="ad6e42c1532ddf3a15c39246b63f5559d558b670"				,				)





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
				from .tokenization_albert import AlbertTokenizer
else:
				_lowercase							:   List[str]						=						None

_lowercase							:   List[str]						=						logging.get_logger(__name__)
_lowercase							:   List[Any]						=						{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_lowercase							:   str						=						{
    "vocab_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/spiece.model",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/spiece.model",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/spiece.model",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/spiece.model",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/tokenizer.json",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/tokenizer.json",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/tokenizer.json",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/tokenizer.json",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/tokenizer.json",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/tokenizer.json",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/tokenizer.json",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/tokenizer.json",
    },
}

_lowercase							:   List[str]						=						{
    "albert-base-v1": 512,
    "albert-large-v1": 512,
    "albert-xlarge-v1": 512,
    "albert-xxlarge-v1": 512,
    "albert-base-v2": 512,
    "albert-large-v2": 512,
    "albert-xlarge-v2": 512,
    "albert-xxlarge-v2": 512,
}

_lowercase							:   Dict						=						"▁"






class    _UpperCamelCase     (       __snake_case					):

				"""simple docstring"""







				lowerCAmelCase					=			VOCAB_FILES_NAMES
				lowerCAmelCase					=			PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase					=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase					=			AlbertTokenizer

				def __init__(    self					, a__=None					, a__=None					, a__=True					, a__=True					, a__=False					, a__="[CLS]"					, a__="[SEP]"					, a__="<unk>"					, a__="[SEP]"					, a__="<pad>"					, a__="[CLS]"					, a__="[MASK]"					, **a__					, )						->					Dict:
					# Mask token behave like a normal word, i.e. include the space before it and
					# is included in the raw text, there should be a match in a non-normalized sentence.
					A             =					(
					    AddedToken(a__					, lstrip=a__					, rstrip=a__					, normalized=a__ )
					    if isinstance(a__					, a__ )
					    else mask_token
					)

					super().__init__(
					    a__					, tokenizer_file=a__					, do_lower_case=a__					, remove_space=a__					, keep_accents=a__					, bos_token=a__					, eos_token=a__					, unk_token=a__					, sep_token=a__					, pad_token=a__					, cls_token=a__					, mask_token=a__					, **a__					, )

					A             =					do_lower_case
					A             =					remove_space
					A             =					keep_accents
					A             =					vocab_file
					A             =					False if not self.vocab_file else True

				def   _UpperCAmelCase       (    self					, a__					, a__ = None )						->					List[int]:
					A             =					[self.sep_token_id]
					A             =					[self.cls_token_id]
					if token_ids_a is None:
						return cls + token_ids_a + sep
					return cls + token_ids_a + sep + token_ids_a + sep

				def   _UpperCAmelCase       (    self					, a__					, a__ = None )						->					List[int]:
					A             =					[self.sep_token_id]
					A             =					[self.cls_token_id]

					if token_ids_a is None:
						return len(cls + token_ids_a + sep ) * [0]
					return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]

				def   _UpperCAmelCase       (    self					, a__					, a__ = None )						->					Tuple[str]:
					if not self.can_save_slow_tokenizer:
						raise ValueError(
						    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
						    """tokenizer.""" )

					if not os.path.isdir(a__ ):
						logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
						return
					A             =					os.path.join(
					    a__					, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )

					if os.path.abspath(self.vocab_file ) != os.path.abspath(a__ ):
						copyfile(self.vocab_file					, a__ )

					return (out_vocab_file,)



