






import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase			:					List[str]         =	logging.get_logger(__name__)

lowerCamelCase			:					int         =	{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

lowerCamelCase			:					Any         =	{
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

lowerCamelCase			:					Dict         =	{
    '''vinai/phobert-base''': 256,
    '''vinai/phobert-large''': 256,
}





def       __lowerCAmelCase      (						__snake_case       ):
     __lowerCAmelCase								=					set()
     __lowerCAmelCase								=					word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)       )
          __lowerCAmelCase								=					char

     __lowerCAmelCase								=					set(__snake_case       )
     return pairs



class 							_UpperCamelCase			(a_			):
      snake_case_  =							VOCAB_FILES_NAMES
      snake_case_  =							PRETRAINED_VOCAB_FILES_MAP
      snake_case_  =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


      def __init__(	self					,						__UpperCamelCase					,						__UpperCamelCase					,						__UpperCamelCase="<s>"					,						__UpperCamelCase="</s>"					,						__UpperCamelCase="</s>"					,						__UpperCamelCase="<s>"					,						__UpperCamelCase="<unk>"					,						__UpperCamelCase="<pad>"					,						__UpperCamelCase="<mask>"					,						**__UpperCamelCase					,						)->	str:
           super().__init__(
               bos_token=__UpperCamelCase					,						eos_token=__UpperCamelCase					,						unk_token=__UpperCamelCase					,						sep_token=__UpperCamelCase					,						cls_token=__UpperCamelCase					,						pad_token=__UpperCamelCase					,						mask_token=__UpperCamelCase					,						**__UpperCamelCase					,						)

           __lowerCAmelCase								=					vocab_file
           __lowerCAmelCase								=					merges_file

           __lowerCAmelCase								=					{}
           __lowerCAmelCase								=					0
           __lowerCAmelCase								=					1
           __lowerCAmelCase								=					2
           __lowerCAmelCase								=					3

           self.add_from_file(__UpperCamelCase	)

           __lowerCAmelCase								=					{v: k for k, v in self.encoder.items()}

           with open(__UpperCamelCase					,						encoding="utf-8"	) as merges_handle:
                __lowerCAmelCase								=					merges_handle.read().split("\n"	)[:-1]
           __lowerCAmelCase								=					[tuple(merge.split()[:-1]	) for merge in merges]
           __lowerCAmelCase								=					dict(zip(__UpperCamelCase					,						range(len(__UpperCamelCase	)	)	)	)
           __lowerCAmelCase								=					{}


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase					,						__UpperCamelCase = None	)->	List[int]:

           if token_ids_a is None:
                return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           __lowerCAmelCase								=					[self.cls_token_id]
           __lowerCAmelCase								=					[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase					,						__UpperCamelCase = None					,						__UpperCamelCase = False	)->	List[int]:

           if already_has_special_tokens:
                return super().get_special_tokens_mask(
                    token_ids_a=__UpperCamelCase					,						token_ids_a=__UpperCamelCase					,						already_has_special_tokens=__UpperCamelCase	)

           if token_ids_a is None:
                return [1] + ([0] * len(__UpperCamelCase	)) + [1]
           return [1] + ([0] * len(__UpperCamelCase	)) + [1, 1] + ([0] * len(__UpperCamelCase	)) + [1]


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase					,						__UpperCamelCase = None	)->	List[int]:
           __lowerCAmelCase								=					[self.sep_token_id]
           __lowerCAmelCase								=					[self.cls_token_id]

           if token_ids_a is None:
                return len(cls + token_ids_a + sep	) * [0]
           return len(cls + token_ids_a + sep + sep + token_ids_a + sep	) * [0]


      @property
      def  __UpperCAmelCase		(	self	)->	List[Any]:
           return len(self.encoder	)


      def  __UpperCAmelCase		(	self	)->	List[Any]:
           return dict(self.encoder					,						**self.added_tokens_encoder	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	int:
           if token in self.cache:
                return self.cache[token]
           __lowerCAmelCase								=					tuple(__UpperCamelCase	)
           __lowerCAmelCase								=					tuple(list(word[:-1]	) + [word[-1] + "</w>"]	)
           __lowerCAmelCase								=					get_pairs(__UpperCamelCase	)

           if not pairs:
                return token

           while True:
                __lowerCAmelCase								=					min(__UpperCamelCase					,						key=lambda __UpperCamelCase	: self.bpe_ranks.get(__UpperCamelCase					,						float("inf"	)	)	)
                if bigram not in self.bpe_ranks:
                     break
                __lowerCAmelCase			, __lowerCAmelCase								=					bigram
                __lowerCAmelCase								=					[]
                __lowerCAmelCase								=					0
                while i < len(__UpperCamelCase	):
                     try:
                          __lowerCAmelCase								=					word.index(__UpperCamelCase					,						__UpperCamelCase	)
                     except ValueError:
                          new_word.extend(word[i:]	)
                          break
                     else:
                          new_word.extend(word[i:j]	)
                          __lowerCAmelCase								=					j

                     if word[i] == first and i < len(__UpperCamelCase	) - 1 and word[i + 1] == second:
                          new_word.append(first + second	)
                          i += 2
                     else:
                          new_word.append(word[i]	)
                          i += 1
                __lowerCAmelCase								=					tuple(__UpperCamelCase	)
                __lowerCAmelCase								=					new_word
                if len(__UpperCamelCase	) == 1:
                     break
                else:
                     __lowerCAmelCase								=					get_pairs(__UpperCamelCase	)
           __lowerCAmelCase								=					"@@ ".join(__UpperCamelCase	)
           __lowerCAmelCase								=					word[:-4]
           __lowerCAmelCase								=					word
           return word


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	Optional[int]:
           __lowerCAmelCase								=					[]

           __lowerCAmelCase								=					re.findall(R"\S+\n?"					,						__UpperCamelCase	)

           for token in words:
                split_tokens.extend(list(self.bpe(__UpperCamelCase	).split(" "	)	)	)
           return split_tokens


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	Optional[Any]:
           return self.encoder.get(__UpperCamelCase					,						self.encoder.get(self.unk_token	)	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	Union[str, Any]:
           return self.decoder.get(__UpperCamelCase					,						self.unk_token	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	Dict:
           __lowerCAmelCase								=					" ".join(__UpperCamelCase	).replace("@@ "					,						""	).strip()
           return out_string


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase					,						__UpperCamelCase = None	)->	Tuple[str]:
           if not os.path.isdir(__UpperCamelCase	):
                logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
                return
           __lowerCAmelCase								=					os.path.join(
               __UpperCamelCase					,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)
           __lowerCAmelCase								=					os.path.join(
               __UpperCamelCase					,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]	)

           if os.path.abspath(self.vocab_file	) != os.path.abspath(__UpperCamelCase	):
                copyfile(self.vocab_file					,						__UpperCamelCase	)

           if os.path.abspath(self.merges_file	) != os.path.abspath(__UpperCamelCase	):
                copyfile(self.merges_file					,						__UpperCamelCase	)

           return out_vocab_file, out_merge_file


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	Any:
           if isinstance(__UpperCamelCase					,						__UpperCamelCase	):
                try:
                     with open(__UpperCamelCase					,						"r"					,						encoding="utf-8"	) as fd:
                          self.add_from_file(__UpperCamelCase	)
                except FileNotFoundError as fnfe:
                     raise fnfe
                except UnicodeError:
                     raise Exception(F"""Incorrect encoding detected in {f}, please rebuild the dataset"""	)
                return

           __lowerCAmelCase								=					f.readlines()
           for lineTmp in lines:
                __lowerCAmelCase								=					lineTmp.strip()
                __lowerCAmelCase								=					line.rfind(" "	)
                if idx == -1:
                     raise ValueError("Incorrect dictionary format, expected '<token> <cnt>'"	)
                __lowerCAmelCase								=					line[:idx]
                __lowerCAmelCase								=					len(self.encoder	)














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






