"""simple docstring"""




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


__lowerCamelCase											=  logging.get_logger(__name__)

__lowerCamelCase											=  {
    "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     UpperCamelCase__(			__A ):
						lowerCAmelCase__  :						List[Any]													=		'markuplm'





						def __init__(       self		,__UpperCAmelCase=3_05_22		,__UpperCAmelCase=7_68		,__UpperCAmelCase=12		,__UpperCAmelCase=12		,__UpperCAmelCase=30_72		,__UpperCAmelCase="gelu"		,__UpperCAmelCase=0.1		,__UpperCAmelCase=0.1		,__UpperCAmelCase=5_12		,__UpperCAmelCase=2		,__UpperCAmelCase=0.0_2		,__UpperCAmelCase=1e-12		,__UpperCAmelCase=0		,__UpperCAmelCase=0		,__UpperCAmelCase=2		,__UpperCAmelCase=2_56		,__UpperCAmelCase=10_24		,__UpperCAmelCase=2_16		,__UpperCAmelCase=10_01		,__UpperCAmelCase=32		,__UpperCAmelCase=50		,__UpperCAmelCase="absolute"		,__UpperCAmelCase=True		,__UpperCAmelCase=None		,**__UpperCAmelCase		,)					->				List[Any]:
													super().__init__(
													    pad_token_id=__UpperCAmelCase		,bos_token_id=__UpperCAmelCase		,eos_token_id=__UpperCAmelCase		,**__UpperCAmelCase		,)
													A__	     =							vocab_size
													A__	     =							hidden_size
													A__	     =							num_hidden_layers
													A__	     =							num_attention_heads
													A__	     =							hidden_act
													A__	     =							intermediate_size
													A__	     =							hidden_dropout_prob
													A__	     =							attention_probs_dropout_prob
													A__	     =							max_position_embeddings
													A__	     =							type_vocab_size
													A__	     =							initializer_range
													A__	     =							layer_norm_eps
													A__	     =							position_embedding_type
													A__	     =							use_cache
													A__	     =							classifier_dropout
													# additional properties
													A__	     =							max_depth
													A__	     =							max_xpath_tag_unit_embeddings
													A__	     =							max_xpath_subs_unit_embeddings
													A__	     =							tag_pad_id
													A__	     =							subs_pad_id
													A__	     =							xpath_unit_hidden_size






"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class     UpperCamelCase__(			__A		,						unittest.TestCase ):
						lowerCAmelCase__  :						Optional[int]													=		CpmAntTokenizer
						lowerCAmelCase__  :						List[str]													=		False





						def 				snake_case__	(       self     )					->				Dict:
													super().setUp()

													A__	     =							[
													    '<d>',
													    '</d>',
													    '<s>',
													    '</s>',
													    '</_>',
													    '<unk>',
													    '<pad>',
													    '</n>',
													    '我',
													    '是',
													    'C',
													    'P',
													    'M',
													    'A',
													    'n',
													    't',
													]
													A__	     =							os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['vocab_file']     )
													with open(self.vocab_file		,'w'		,encoding='utf-8'     ) as vocab_writer:
																				vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )





						@tooslow
						def 				snake_case__	(       self     )					->				List[Any]:
													A__	     =							CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b'     )
													A__	     =							'今天天气真好！'
													A__	     =							['今天', '天气', '真', '好', '！']
													A__	     =							tokenizer.tokenize(__UpperCAmelCase     )
													self.assertListEqual(__UpperCAmelCase		,__UpperCAmelCase     )
													A__	     =							'今天天气真好！'
													A__	     =							[tokenizer.bos_token] + tokens

													A__	     =							[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase     )		,__UpperCAmelCase     )

													A__	     =							tokenizer.decode(__UpperCAmelCase     )
													self.assertEqual(__UpperCAmelCase		,__UpperCAmelCase     )





