



"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


__lowerCAmelCase       :					Dict      					=					logging.get_logger(__name__)

__lowerCAmelCase       :					Optional[int]      					=					{
    '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/config.json''',
    '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/config.json''',
    '''xlm-roberta-large-finetuned-conll02-dutch''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll02-spanish''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-english''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-german''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'''
    ),
}



class    _lowerCAmelCase    (				_snake_case		):





  """simple docstring"""






  _lowerCamelCase			  =       'xlm-roberta'





  def __init__(					self							,    _lowercase=3_0_5_2_2							,    _lowercase=7_6_8							,    _lowercase=1_2							,    _lowercase=1_2							,    _lowercase=3_0_7_2							,    _lowercase="gelu"							,    _lowercase=0.1							,    _lowercase=0.1							,    _lowercase=5_1_2							,    _lowercase=2							,    _lowercase=0.02							,    _lowercase=1E-12							,    _lowercase=1							,    _lowercase=0							,    _lowercase=2							,    _lowercase="absolute"							,    _lowercase=True							,    _lowercase=None							,    **_lowercase							,    ) ->						Any:







        '''simple docstring'''

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

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




class    _lowerCAmelCase    (				_snake_case		):





  """simple docstring"""






  @property
  def    UpperCAmelCase__							(					self   ) ->						Optional[int]:







        '''simple docstring'''

        if self.task == "multiple-choice":
              snake_case_   : Optional[int]						=			{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),
            ]   )






"""simple docstring"""





import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_rjieba
@require_tokenizers
class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__  ,				unittest.TestCase		):





		"""simple docstring"""






		_lowerCamelCase			  =       RoFormerTokenizer
		_lowerCamelCase			  =       RoFormerTokenizerFast
		_lowerCamelCase			  =       True
		_lowerCamelCase			  =       True





		def    UpperCAmelCase__							(					self   ) ->						Any:







								'''simple docstring'''

								super().setUp()





		def    UpperCAmelCase__							(					self							,    **_lowercase   ) ->						str:







								'''simple docstring'''

								return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""							,    **_lowercase   )





		def    UpperCAmelCase__							(					self							,    **_lowercase   ) ->						Union[str, Any]:







								'''simple docstring'''

								return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""							,    **_lowercase   )





		def    UpperCAmelCase__							(					self   ) ->						Dict:







								'''simple docstring'''

								snake_case_   : Tuple						=			"""永和服装饰品有限公司,今天天气非常好"""
								snake_case_   : int						=			"""永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"""
								return input_text, output_text





		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								snake_case_   : List[str]						=			self.get_tokenizer()
								snake_case_			,		snake_case_   : Optional[Any]						=			self.get_chinese_input_output_texts()
								snake_case_   : List[str]						=			tokenizer.tokenize(_lowercase   )

								self.assertListEqual(_lowercase							,    output_text.split()   )

								snake_case_   : str						=			tokens + [tokenizer.unk_token]
								snake_case_   : Tuple						=			[2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase   )							,    _lowercase   )





		def    UpperCAmelCase__							(					self   ) ->						Any:







								'''simple docstring'''

								snake_case_   : int						=			self.get_rust_tokenizer()
								snake_case_			,		snake_case_   : List[Any]						=			self.get_chinese_input_output_texts()
								snake_case_   : Union[str, Any]						=			tokenizer.tokenize(_lowercase   )
								self.assertListEqual(_lowercase							,    output_text.split()   )
								snake_case_   : Optional[int]						=			tokens + [tokenizer.unk_token]
								snake_case_   : Union[str, Any]						=			[2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase   )							,    _lowercase   )





		def    UpperCAmelCase__							(					self   ) ->						Tuple:







								'''simple docstring'''

								pass





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







								'''simple docstring'''

								pass





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







								'''simple docstring'''

								pass

