






import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 							_UpperCamelCase			(a_							,		unittest.TestCase			):
      snake_case_  =							MgpstrTokenizer
      snake_case_  =							False
      snake_case_  =							{}
      snake_case_  =							False


      def  __UpperCAmelCase		(	self	)->	List[Any]:
           super().setUp()

           # fmt: off
           __lowerCAmelCase								=					["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
           # fmt: on
           __lowerCAmelCase								=					dict(zip(__UpperCamelCase					,						range(len(__UpperCamelCase	)	)	)	)

           __lowerCAmelCase								=					os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["vocab_file"]	)
           with open(self.vocab_file					,						"w"					,						encoding="utf-8"	) as fp:
                fp.write(json.dumps(__UpperCamelCase	) + "\n"	)


      def  __UpperCAmelCase		(	self					,						**__UpperCamelCase	)->	Optional[int]:
           return MgpstrTokenizer.from_pretrained(self.tmpdirname					,						**__UpperCamelCase	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	Optional[int]:
           __lowerCAmelCase								=					"tester"
           __lowerCAmelCase								=					"tester"
           return input_text, output_text


      @unittest.skip("MGP-STR always lower cases letters."	)
      def  __UpperCAmelCase		(	self	)->	Optional[int]:
           pass


      def  __UpperCAmelCase		(	self	)->	Union[str, Any]:
           __lowerCAmelCase								=					self.get_tokenizers(do_lower_case=__UpperCamelCase	)
           for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}"""	):
                     __lowerCAmelCase								=					"[SPECIAL_TOKEN]"

                     tokenizer.add_special_tokens({"cls_token": special_token}	)
                     __lowerCAmelCase								=					tokenizer.encode([special_token]					,						add_special_tokens=__UpperCamelCase	)
                     self.assertEqual(len(__UpperCamelCase	)					,						1	)

                     __lowerCAmelCase								=					tokenizer.decode(__UpperCamelCase					,						skip_special_tokens=__UpperCamelCase	)
                     self.assertTrue(special_token not in decoded	)


      def  __UpperCAmelCase		(	self	)->	int:
           __lowerCAmelCase								=					self.get_tokenizers()
           for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}"""	):
                     __lowerCAmelCase			, __lowerCAmelCase								=					self.get_input_output_texts(__UpperCamelCase	)

                     __lowerCAmelCase								=					tokenizer.tokenize(__UpperCamelCase	)
                     __lowerCAmelCase								=					tokenizer.convert_tokens_to_ids(__UpperCamelCase	)
                     __lowerCAmelCase								=					tokenizer.encode(__UpperCamelCase					,						add_special_tokens=__UpperCamelCase	)
                     self.assertListEqual(__UpperCamelCase					,						__UpperCamelCase	)

                     __lowerCAmelCase								=					tokenizer.convert_ids_to_tokens(__UpperCamelCase	)
                     self.assertNotEqual(len(__UpperCamelCase	)					,						0	)
                     __lowerCAmelCase								=					tokenizer.decode(__UpperCamelCase	)
                     self.assertIsInstance(__UpperCamelCase					,						__UpperCamelCase	)

                     self.assertEqual(text_a.replace(" "					,						""	)					,						__UpperCamelCase	)


      @unittest.skip("MGP-STR tokenizer only handles one sequence."	)
      def  __UpperCAmelCase		(	self	)->	Dict:
           pass


      @unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"	)
      def  __UpperCAmelCase		(	self	)->	Tuple:
           pass














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


lowerCamelCase			:					Any         =	logging.get_logger(__name__)

lowerCamelCase			:					Dict         =	{
    '''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_			):
      snake_case_  =							"""markuplm"""


      def __init__(	self					,						__UpperCamelCase=3_0_5_2_2					,						__UpperCamelCase=7_6_8					,						__UpperCamelCase=1_2					,						__UpperCamelCase=1_2					,						__UpperCamelCase=3_0_7_2					,						__UpperCamelCase="gelu"					,						__UpperCamelCase=0.1					,						__UpperCamelCase=0.1					,						__UpperCamelCase=5_1_2					,						__UpperCamelCase=2					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=1e-12					,						__UpperCamelCase=0					,						__UpperCamelCase=0					,						__UpperCamelCase=2					,						__UpperCamelCase=2_5_6					,						__UpperCamelCase=1_0_2_4					,						__UpperCamelCase=2_1_6					,						__UpperCamelCase=1_0_0_1					,						__UpperCamelCase=3_2					,						__UpperCamelCase=5_0					,						__UpperCamelCase="absolute"					,						__UpperCamelCase=True					,						__UpperCamelCase=None					,						**__UpperCamelCase					,						)->	Dict:
           super().__init__(
               pad_token_id=__UpperCamelCase					,						bos_token_id=__UpperCamelCase					,						eos_token_id=__UpperCamelCase					,						**__UpperCamelCase					,						)
           __lowerCAmelCase								=					vocab_size
           __lowerCAmelCase								=					hidden_size
           __lowerCAmelCase								=					num_hidden_layers
           __lowerCAmelCase								=					num_attention_heads
           __lowerCAmelCase								=					hidden_act
           __lowerCAmelCase								=					intermediate_size
           __lowerCAmelCase								=					hidden_dropout_prob
           __lowerCAmelCase								=					attention_probs_dropout_prob
           __lowerCAmelCase								=					max_position_embeddings
           __lowerCAmelCase								=					type_vocab_size
           __lowerCAmelCase								=					initializer_range
           __lowerCAmelCase								=					layer_norm_eps
           __lowerCAmelCase								=					position_embedding_type
           __lowerCAmelCase								=					use_cache
           __lowerCAmelCase								=					classifier_dropout
           # additional properties
           __lowerCAmelCase								=					max_depth
           __lowerCAmelCase								=					max_xpath_tag_unit_embeddings
           __lowerCAmelCase								=					max_xpath_subs_unit_embeddings
           __lowerCAmelCase								=					tag_pad_id
           __lowerCAmelCase								=					subs_pad_id
           __lowerCAmelCase								=					xpath_unit_hidden_size






