
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


__lowerCamelCase				=			get_tests_dir("""fixtures/spiece.model""")






@require_sentencepiece
@require_tokenizers
class     UpperCAmelCase						(		A_			,unittest.TestCase					):
   A__   :						Optional[int]			=	DebertaVaTokenizer
   A__   :						List[str]			=	DebertaVaTokenizerFast
   A__   :						Union[str, Any]			=	True
   A__   :						str			=	True



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


          '''simple docstring'''


          super().setUp()

          # We have a SentencePiece fixture for testing
          snake_case			:  Union[str, Any]     							= DebertaVaTokenizer(snake_case__       ,		unk_token="<unk>"					)
          tokenizer.save_pretrained(self.tmpdirname					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[int]       ,		snake_case__						:   Optional[Any]					)						->      Any:


          '''simple docstring'''


          snake_case			:  Any     							= "this is a test"
          snake_case			:  List[Any]     							= "this is a test"
          return input_text, output_text



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


          '''simple docstring'''


          snake_case			:  Dict     							= "<pad>"
          snake_case			:  int     							= 0

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



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


          '''simple docstring'''


          snake_case			:  Union[str, Any]     							= 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(snake_case__					)       ,		3_00_01					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Any					)						->      Tuple:


          '''simple docstring'''


          self.assertEqual(self.get_tokenizer().vocab_size       ,		3_00_00					)



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


          '''simple docstring'''


          snake_case			:  Tuple     							= " \tHeLLo!how  \n Are yoU?  "
          snake_case			:  int     							= ["▁hello", "!", "how", "▁are", "▁you", "?"]
          # fmt: on

          snake_case			:  Any     							= DebertaVaTokenizer(snake_case__       ,		do_lower_case=snake_case__					)
          snake_case			:  List[Any]     							= tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  Optional[Any]     							= DebertaVaTokenizerFast(snake_case__       ,		do_lower_case=snake_case__					)
          snake_case			:  Union[str, Any]     							= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)



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


          '''simple docstring'''


          pass



   @unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."					)
   def 							_SCREAMING_SNAKE_CASE  (self						:   int					)						->      List[str]:


          '''simple docstring'''


          pass



   def 							_SCREAMING_SNAKE_CASE  (self						:   Tuple					)						->      str:


          '''simple docstring'''


          snake_case			:  Optional[Any]     							= "I was born in 92000, and this is falsé."
          snake_case			:  Any     							= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
          # fmt: on

          snake_case			:  str     							= DebertaVaTokenizer(snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  Union[str, Any]     							= tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  Any     							= DebertaVaTokenizerFast(snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  str     							= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      List[str]:


          '''simple docstring'''


          snake_case			:  Union[str, Any]     							= "I was born in 92000, and this is falsé."
          snake_case			:  Any     							= ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
          # fmt: on

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

          snake_case			:  Dict     							= DebertaVaTokenizerFast(snake_case__       ,		do_lower_case=snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  List[str]     							= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)
          self.assertListEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Dict					)						->      Dict:


          '''simple docstring'''


          snake_case			:  List[Any]     							= "I was born in 92000, and this is falsé."
          snake_case			:  Dict     							= ["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
          # fmt: on

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

          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  Optional[int]     							= DebertaVaTokenizerFast(snake_case__       ,		do_lower_case=snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  List[str]     							= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]					)						->      List[Any]:


          '''simple docstring'''


          snake_case			:  Any     							= "I was born in 92000, and this is falsé."
          snake_case			:  Optional[int]     							= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
          # fmt: on

          snake_case			:  Tuple     							= DebertaVaTokenizer(snake_case__       ,		do_lower_case=snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  Tuple     							= tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  str     							= DebertaVaTokenizerFast(snake_case__       ,		do_lower_case=snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  Any     							= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)



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


          '''simple docstring'''


          snake_case			:  Union[str, Any]     							= " \tHeLLo!how  \n Are yoU?  "
          snake_case			:  Dict     							= ["▁", "<unk>", "e", "<unk>", "o", "!", "how", "▁", "<unk>", "re", "▁yo", "<unk>", "?"]
          # fmt: on

          snake_case			:  Tuple     							= DebertaVaTokenizer(snake_case__       ,		do_lower_case=snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  Dict     							= tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  Any     							= DebertaVaTokenizerFast(snake_case__       ,		do_lower_case=snake_case__       ,		split_by_punct=snake_case__					)
          snake_case			:  Any     							= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)					)

          self.assertListEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Any					)						->      Tuple:


          '''simple docstring'''


          snake_case			:  Optional[Any]     							= self.get_tokenizer()
          snake_case			:  Union[str, Any]     							= self.get_rust_tokenizer()

          snake_case			:  Any     							= "I was born in 92000, and this is falsé."

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

          snake_case			:  List[str]     							= tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)
          snake_case			:  List[str]     							= rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  Optional[Any]     							= self.get_rust_tokenizer()
          snake_case			:  List[str]     							= tokenizer.encode(snake_case__					)
          snake_case			:  Optional[Any]     							= rust_tokenizer.encode(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   str					)						->      Optional[Any]:


          '''simple docstring'''


          snake_case			:  Any     							= "This is a test"
          snake_case			:  Optional[int]     							= [13, 1, 43_98, 25, 21, 12_89]
          snake_case			:  int     							= ["▁", "T", "his", "▁is", "▁a", "▁test"]
          snake_case			:  List[str]     							= ["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

          snake_case			:  Optional[int]     							= DebertaVaTokenizer(snake_case__       ,		keep_accents=snake_case__					)
          snake_case			:  Dict     							= DebertaVaTokenizerFast(snake_case__       ,		keep_accents=snake_case__					)

          snake_case			:  List[Any]     							= tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  Optional[int]     							= tokenizer.tokenize(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  Optional[Any]     							= tokenizer.convert_ids_to_tokens(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  Optional[int]     							= rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  Optional[int]     							= rust_tokenizer.tokenize(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  Dict     							= rust_tokenizer.convert_ids_to_tokens(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)

          # fmt: off
          snake_case			:  Optional[int]     							= "I was born in 92000, and this is falsé."
          snake_case			:  Tuple     							= [13, 1, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]
          snake_case			:  List[Any]     							= ["▁", "I", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", ".", ]
          snake_case			:  int     							= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
          # fmt: on

          snake_case			:  int     							= tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  Optional[int]     							= tokenizer.tokenize(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  List[str]     							= tokenizer.convert_ids_to_tokens(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)

          snake_case			:  int     							= rust_tokenizer.encode(snake_case__       ,		add_special_tokens=snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  int     							= rust_tokenizer.tokenize(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)
          snake_case			:  int     							= rust_tokenizer.convert_ids_to_tokens(snake_case__					)
          self.assertListEqual(snake_case__       ,		snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[int]					)						->      Tuple:


          '''simple docstring'''


          snake_case			:  Dict     							= DebertaVaTokenizer(snake_case__					)

          snake_case			:  str     							= tokenizer.encode("sequence builders"					)
          snake_case			:  List[str]     							= tokenizer.encode("multi-sequence build"					)

          snake_case			:  str     							= tokenizer.build_inputs_with_special_tokens(snake_case__					)
          snake_case			:  Dict     							= tokenizer.build_inputs_with_special_tokens(snake_case__       ,		snake_case__					)

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



   @slow
   def 							_SCREAMING_SNAKE_CASE  (self						:   str					)						->      Dict:


          '''simple docstring'''


          snake_case			:  Any     							= {"input_ids": [[1, 3_98_67, 36, 1_93_90, 4_86, 27, 3_50_52, 8_14_36, 18, 6_06_85, 12_25, 7, 3_50_52, 8_14_36, 18, 93_67, 1_68_99, 18, 1_59_37, 53, 5_94, 7_73, 18, 1_62_87, 3_04_65, 36, 1_59_37, 6, 4_11_39, 38, 3_69_79, 6_07_63, 1_91, 6, 3_41_32, 99, 6, 5_05_38, 3_90, 4_32_30, 6, 3_41_32, 27_79, 2_08_50, 14, 6_99, 10_72, 11_94, 36, 3_82, 1_09_01, 53, 7, 6_99, 10_72, 20_84, 36, 2_04_22, 6_30, 53, 19, 1_05, 30_49, 18_96, 10_53, 1_68_99, 15_06, 11, 3_79_78, 42_43, 7, 12_37, 3_18_69, 2_00, 1_65_66, 6_54, 6, 3_50_52, 8_14_36, 7, 5_56_30, 1_35_93, 4, 2], [1, 26, 1_50_11, 13, 6_67, 8, 10_53, 18, 2_36_11, 12_37, 7_23_56, 1_28_20, 34, 10_41_34, 12_09, 35, 1_33_13, 66_27, 21, 2_02, 3_47, 7, 1_64, 23_99, 11, 46, 44_85, 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, 12_32, 28_64, 1_57_85, 1_49_51, 1_05, 5, 85_81, 12_50, 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=snake_case__       ,		model_name="microsoft/deberta-v2-xlarge"       ,		revision="ad6e42c1532ddf3a15c39246b63f5559d558b670"       ,		)







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase				=			logging.get_logger(__name__)

__lowerCamelCase				=			{
    """kssteven/ibert-roberta-base""": """https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json""",
    """kssteven/ibert-roberta-large""": """https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json""",
    """kssteven/ibert-roberta-large-mnli""": (
        """https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"""
    ),
}






class     UpperCAmelCase						(		A_					):
   A__   :						Optional[int]			=	"ibert"



   def __init__(self						:   List[Any]       ,		snake_case__						:   int=3_05_22       ,		snake_case__						:   int=7_68       ,		snake_case__						:   Any=12       ,		snake_case__						:   str=12       ,		snake_case__						:   Optional[int]=30_72       ,		snake_case__						:   Union[str, Any]="gelu"       ,		snake_case__						:   Any=0.1       ,		snake_case__						:   List[Any]=0.1       ,		snake_case__						:   str=5_12       ,		snake_case__						:   Optional[int]=2       ,		snake_case__						:   Any=0.02       ,		snake_case__						:   List[Any]=1e-12       ,		snake_case__						:   Optional[Any]=1       ,		snake_case__						:   List[Any]=0       ,		snake_case__						:   str=2       ,		snake_case__						:   Tuple="absolute"       ,		snake_case__						:   List[str]=False       ,		snake_case__						:   Tuple="none"       ,		**snake_case__						:   Tuple       ,		)						->      Union[str, Any]:


          '''simple docstring'''


          super().__init__(pad_token_id=snake_case__       ,		bos_token_id=snake_case__       ,		eos_token_id=snake_case__       ,		**snake_case__					)

          snake_case			:  str     							= vocab_size
          snake_case			:  Tuple     							= hidden_size
          snake_case			:  Optional[Any]     							= num_hidden_layers
          snake_case			:  Optional[int]     							= num_attention_heads
          snake_case			:  List[Any]     							= hidden_act
          snake_case			:  Optional[Any]     							= intermediate_size
          snake_case			:  Dict     							= hidden_dropout_prob
          snake_case			:  List[str]     							= attention_probs_dropout_prob
          snake_case			:  List[str]     							= max_position_embeddings
          snake_case			:  Union[str, Any]     							= type_vocab_size
          snake_case			:  Optional[int]     							= initializer_range
          snake_case			:  Optional[int]     							= layer_norm_eps
          snake_case			:  int     							= position_embedding_type
          snake_case			:  Union[str, Any]     							= quant_mode
          snake_case			:  Dict     							= force_dequant






class     UpperCAmelCase						(		A_					):



   @property
   def 							_SCREAMING_SNAKE_CASE  (self						:   Tuple					)						->      Mapping[str, Mapping[int, str]]:


          '''simple docstring'''


          if self.task == "multiple-choice":
                 snake_case			:  Optional[Any]     							= {0: "batch", 1: "choice", 2: "sequence"}
          else:
                 snake_case			:  List[Any]     							= {0: "batch", 1: "sequence"}
          return OrderedDict(
              [
                  ("input_ids", dynamic_axis),
                  ("attention_mask", dynamic_axis),
              ]					)





