






'''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


__UpperCamelCase      :       Any      			=      get_tests_dir("""fixtures/spiece.model""")
@require_sentencepiece
@require_tokenizers
class 							__SCREAMING_SNAKE_CASE       (							_lowerCAmelCase      ,      unittest.TestCase     ):
      __a  					=DebertaVaTokenizer
      __a  					=DebertaVaTokenizerFast
      __a  					=True
      __a  					=True




      def  __UpperCamelCase							(  self      )							->int:



         '''simple docstring'''
         super().setUp()

         # We have a SentencePiece fixture for testing
         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   unk_token='<unk>'      )
         tokenizer.save_pretrained(self.tmpdirname      )




      def  __UpperCamelCase							(  self ,   lowerCamelCase      )							->Dict:



         '''simple docstring'''
         __a				     =    'this is a test'
         __a				     =    'this is a test'
         return input_text, output_text




      def  __UpperCamelCase							(  self      )							->Tuple:



         '''simple docstring'''
         __a				     =    '<pad>'
         __a				     =    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      )							->Any:



         '''simple docstring'''
         __a				     =    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      ) ,   3_0001      )




      def  __UpperCamelCase							(  self      )							->Optional[Any]:



         '''simple docstring'''
         self.assertEqual(self.get_tokenizer().vocab_size ,   3_0000      )




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



         '''simple docstring'''
         # fmt: off
         __a				     =    ' \tHeLLo!how  \n Are yoU?  '
         __a				     =    ['▁hello', '!', 'how', '▁are', '▁you', '?']
         # fmt: on

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   do_lower_case=lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   do_lower_case=lowerCamelCase      )
         __a				     =    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      )							->Union[str, Any]:



         '''simple docstring'''
         pass




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



         '''simple docstring'''
         pass




      def  __UpperCamelCase							(  self      )							->Any:



         '''simple docstring'''
         # fmt: off
         __a				     =    'I was born in 92000, and this is falsé.'
         __a				     =    ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
         # fmt: on

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




      def  __UpperCamelCase							(  self      )							->Tuple:



         '''simple docstring'''
         # fmt: off
         __a				     =    'I was born in 92000, and this is falsé.'
         __a				     =    ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
         # fmt: on

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




      def  __UpperCamelCase							(  self      )							->Optional[Any]:



         '''simple docstring'''
         # fmt: off
         __a				     =    'I was born in 92000, and this is falsé.'
         __a				     =    ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
         # fmt: on

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




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



         '''simple docstring'''
         # fmt: off
         __a				     =    'I was born in 92000, and this is falsé.'
         __a				     =    ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
         # fmt: on

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




      def  __UpperCamelCase							(  self      )							->int:



         '''simple docstring'''
         # fmt: off
         __a				     =    ' \tHeLLo!how  \n Are yoU?  '
         __a				     =    ['▁', '<unk>', 'e', '<unk>', 'o', '!', 'how', '▁', '<unk>', 're', '▁yo', '<unk>', '?']
         # fmt: on

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   do_lower_case=lowerCamelCase ,   split_by_punct=lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )

         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




      def  __UpperCamelCase							(  self      )							->int:



         '''simple docstring'''
         __a				     =    self.get_tokenizer()
         __a				     =    self.get_rust_tokenizer()

         __a				     =    'I was born in 92000, and this is falsé.'

         __a				     =    tokenizer.convert_ids_to_tokens(tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )
         __a				     =    rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    self.get_rust_tokenizer()
         __a				     =    tokenizer.encode(lowerCamelCase      )
         __a				     =    rust_tokenizer.encode(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




      def  __UpperCamelCase							(  self      )							->Tuple:



         '''simple docstring'''
         __a				     =    'This is a test'
         __a				     =    [13, 1, 4398, 25, 21, 1289]
         __a				     =    ['▁', 'T', 'his', '▁is', '▁a', '▁test']
         __a				     =    ['▁', '<unk>', 'his', '▁is', '▁a', '▁test']

         __a				     =    DebertaVaTokenizer(lowerCamelCase ,   keep_accents=lowerCamelCase      )
         __a				     =    DebertaVaTokenizerFast(lowerCamelCase ,   keep_accents=lowerCamelCase      )

         __a				     =    tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    tokenizer.tokenize(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    rust_tokenizer.tokenize(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

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

         __a				     =    tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    tokenizer.tokenize(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    tokenizer.convert_ids_to_tokens(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )

         __a				     =    rust_tokenizer.encode(lowerCamelCase ,   add_special_tokens=lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    rust_tokenizer.tokenize(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )
         __a				     =    rust_tokenizer.convert_ids_to_tokens(lowerCamelCase      )
         self.assertListEqual(lowerCamelCase ,   lowerCamelCase      )




      def  __UpperCamelCase							(  self      )							->List[Any]:



         '''simple docstring'''
         __a				     =    DebertaVaTokenizer(lowerCamelCase      )

         __a				     =    tokenizer.encode('sequence builders'      )
         __a				     =    tokenizer.encode('multi-sequence build'      )

         __a				     =    tokenizer.build_inputs_with_special_tokens(lowerCamelCase      )
         __a				     =    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      )							->List[str]:



         '''simple docstring'''
         # fmt: off
         __a				     =    {'input_ids': [[1, 3_9867, 36, 1_9390, 486, 27, 3_5052, 8_1436, 18, 6_0685, 1225, 7, 3_5052, 8_1436, 18, 9367, 1_6899, 18, 1_5937, 53, 594, 773, 18, 1_6287, 3_0465, 36, 1_5937, 6, 4_1139, 38, 3_6979, 6_0763, 191, 6, 3_4132, 99, 6, 5_0538, 390, 4_3230, 6, 3_4132, 2779, 2_0850, 14, 699, 1072, 1194, 36, 382, 1_0901, 53, 7, 699, 1072, 2084, 36, 2_0422, 630, 53, 19, 105, 3049, 1896, 1053, 1_6899, 1506, 11, 3_7978, 4243, 7, 1237, 3_1869, 200, 1_6566, 654, 6, 3_5052, 8_1436, 7, 5_5630, 1_3593, 4, 2], [1, 26, 1_5011, 13, 667, 8, 1053, 18, 2_3611, 1237, 7_2356, 1_2820, 34, 10_4134, 1209, 35, 1_3313, 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, 1_5785, 1_4951, 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=lowerCamelCase ,   model_name='microsoft/deberta-v2-xlarge' ,   revision='ad6e42c1532ddf3a15c39246b63f5559d558b670' ,   )







'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__UpperCamelCase      :       Optional[int]      			=      {
    """configuration_deberta""": ["""DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DebertaConfig""", """DebertaOnnxConfig"""],
    """tokenization_deberta""": ["""DebertaTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __UpperCamelCase      :       Dict      			=      ["""DebertaTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __UpperCamelCase      :       Tuple      			=      [
     """DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """DebertaForMaskedLM""",
     """DebertaForQuestionAnswering""",
     """DebertaForSequenceClassification""",
     """DebertaForTokenClassification""",
     """DebertaModel""",
     """DebertaPreTrainedModel""",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __UpperCamelCase      :       Optional[Any]      			=      [
     """TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """TFDebertaForMaskedLM""",
     """TFDebertaForQuestionAnswering""",
     """TFDebertaForSequenceClassification""",
     """TFDebertaForTokenClassification""",
     """TFDebertaModel""",
     """TFDebertaPreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaOnnxConfig
 from .tokenization_deberta import DebertaTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_deberta_fast import DebertaTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_deberta import (
      DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
      DebertaForMaskedLM,
      DebertaForQuestionAnswering,
      DebertaForSequenceClassification,
      DebertaForTokenClassification,
      DebertaModel,
      DebertaPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_deberta import (
      TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFDebertaForMaskedLM,
      TFDebertaForQuestionAnswering,
      TFDebertaForSequenceClassification,
      TFDebertaForTokenClassification,
      TFDebertaModel,
      TFDebertaPreTrainedModel,
  )


else:
 import sys

 __UpperCamelCase      :       List[Any]      			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)