


"""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					(   _lowerCamelCase     ,			unittest.TestCase       ):


		'''simple docstring'''



		__UpperCAmelCase		:			int										=				RoFormerTokenizer
		__UpperCAmelCase		:			List[str]										=				RoFormerTokenizerFast
		__UpperCAmelCase		:			Union[str, Any]										=				True
		__UpperCAmelCase		:			Tuple										=				True

		def 			__UpperCAmelCase       (  self      ):
				super().setUp()

		def 			__UpperCAmelCase       (  self							, **_a      ):
				return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''							, **a_      )

		def 			__UpperCAmelCase       (  self							, **_a      ):
				return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''							, **a_      )

		def 			__UpperCAmelCase       (  self      ):
				__a           =			"""永和服装饰品有限公司,今天天气非常好"""
				__a           =			"""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      ):
				__a           =			self.get_tokenizer()
				__a           =			self.get_chinese_input_output_texts()
				__a           =			tokenizer.tokenize(a_      )

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

				__a           =			tokens + [tokenizer.unk_token]
				__a           =			[22_943, 21_332, 34_431, 45_904, 117, 306, 1_231, 1_231, 2_653, 33_994, 1_266, 100]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )							, a_      )

		def 			__UpperCAmelCase       (  self      ):
				__a           =			self.get_rust_tokenizer()
				__a           =			self.get_chinese_input_output_texts()
				__a           =			tokenizer.tokenize(a_      )
				self.assertListEqual(a_							, output_text.split()      )
				__a           =			tokens + [tokenizer.unk_token]
				__a           =			[22_943, 21_332, 34_431, 45_904, 117, 306, 1_231, 1_231, 2_653, 33_994, 1_266, 100]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )							, a_      )

		def 			__UpperCAmelCase       (  self      ):
				pass

		def 			__UpperCAmelCase       (  self      ):
				pass





		def 			__UpperCAmelCase       (  self      ):
				pass











'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_							: Any						 =	logging.get_logger(__name__)

A_							: Any						 =	{
    """microsoft/markuplm-base""": """https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json""",
    """microsoft/markuplm-large""": """https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json""",
}



class 							lowercase       (  _lowerCamelCase				):


 """simple docstring"""


 UpperCAmelCase							=  """markuplm"""







 def __init__(							self  ,a_=30_522  ,a_=768  ,a_=12  ,a_=12  ,a_=3_072  ,a_="gelu"  ,a_=0.1  ,a_=0.1  ,a_=512  ,a_=2  ,a_=0.02  ,a_=1E-1_2  ,a_=0  ,a_=0  ,a_=2  ,a_=256  ,a_=1_024  ,a_=216  ,a_=1_001  ,a_=32  ,a_=50  ,a_="absolute"  ,a_=True  ,a_=None  ,**a_  ,)		->   Union[str, Any]:
        super().__init__(
            pad_token_id=a_  ,bos_token_id=a_  ,eos_token_id=a_  ,**a_  ,)
        _UpperCAmelCase  :						Optional[int]			     = vocab_size
        _UpperCAmelCase  :						Tuple			     = hidden_size
        _UpperCAmelCase  :						str			     = num_hidden_layers
        _UpperCAmelCase  :						Dict			     = num_attention_heads
        _UpperCAmelCase  :						int			     = hidden_act
        _UpperCAmelCase  :						Optional[Any]			     = intermediate_size
        _UpperCAmelCase  :						Tuple			     = hidden_dropout_prob
        _UpperCAmelCase  :						List[str]			     = attention_probs_dropout_prob
        _UpperCAmelCase  :						Optional[int]			     = max_position_embeddings
        _UpperCAmelCase  :						Tuple			     = type_vocab_size
        _UpperCAmelCase  :						Dict			     = initializer_range
        _UpperCAmelCase  :						List[Any]			     = layer_norm_eps
        _UpperCAmelCase  :						Optional[Any]			     = position_embedding_type
        _UpperCAmelCase  :						Any			     = use_cache
        _UpperCAmelCase  :						List[Any]			     = classifier_dropout
        # additional properties
        _UpperCAmelCase  :						Dict			     = max_depth
        _UpperCAmelCase  :						Union[str, Any]			     = max_xpath_tag_unit_embeddings
        _UpperCAmelCase  :						Optional[int]			     = max_xpath_subs_unit_embeddings
        _UpperCAmelCase  :						List[Any]			     = tag_pad_id
        _UpperCAmelCase  :						Tuple			     = subs_pad_id
        _UpperCAmelCase  :						List[str]			     = xpath_unit_hidden_size



