import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__a  :					Dict          =  logging.get_logger(__name__)


__a  :					Any          =  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
__a  :					int          =  {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
}

__a  :					Any          =  {
    """RUCAIBox/mvp""": 1_0_2_4,
}





@lru_cache()
def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							(
				    list(range(ord('''!'''							)							,      ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)							,      ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)							,      ord('''ÿ'''							) + 1							)							)
				)
				__lowercase			      =							bs[:]
				__lowercase			      =							0
				for b in range(2**8							):
								if b not in bs:
												bs.append(lowercase							)
												cs.append(2**8 + n							)
												n += 1
				__lowercase			      =							[chr(lowercase							) for n in cs]
				return dict(zip(lowercase							,      lowercase							)							)





def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							set()
				__lowercase			      =							word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)							)
								__lowercase			      =							char
				return pairs




class        _UpperCamelCase				(						_UpperCAmelCase			):


			"""simple docstring"""






			__a  :			List[Any]      			=						VOCAB_FILES_NAMES
			__a  :			Dict      			=						PRETRAINED_VOCAB_FILES_MAP
			__a  :			Any      			=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a  :			Optional[Any]      			=						['''input_ids''', '''attention_mask''']





			def __init__(       self				,       lowerCAmelCase__				,       lowerCAmelCase__				,       lowerCAmelCase__="replace"				,       lowerCAmelCase__="<s>"				,       lowerCAmelCase__="</s>"				,       lowerCAmelCase__="</s>"				,       lowerCAmelCase__="<s>"				,       lowerCAmelCase__="<unk>"				,       lowerCAmelCase__="<pad>"				,       lowerCAmelCase__="<mask>"				,       lowerCAmelCase__=False				,       **lowerCAmelCase__				,       )					-> int:

							'''simple docstring'''


							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else bos_token
							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else eos_token
							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else sep_token
							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else cls_token
							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else unk_token
							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							__lowercase			      =							AddedToken(lowerCAmelCase__				,       lstrip=lowerCAmelCase__				,       rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__				,       lowerCAmelCase__						) else mask_token

							super().__init__(
							    errors=lowerCAmelCase__				,       bos_token=lowerCAmelCase__				,       eos_token=lowerCAmelCase__				,       unk_token=lowerCAmelCase__				,       sep_token=lowerCAmelCase__				,       cls_token=lowerCAmelCase__				,       pad_token=lowerCAmelCase__				,       mask_token=lowerCAmelCase__				,       add_prefix_space=lowerCAmelCase__				,       **lowerCAmelCase__				,       )
							with open(lowerCAmelCase__				,       encoding='''utf-8'''						) as vocab_handle:
											__lowercase			      =							json.load(lowerCAmelCase__						)
							__lowercase			      =							{v: k for k, v in self.encoder.items()}
							__lowercase			      =							errors  # how to handle errors in decoding
							__lowercase			      =							bytes_to_unicode()
							__lowercase			      =							{v: k for k, v in self.byte_encoder.items()}
							with open(lowerCAmelCase__				,       encoding='''utf-8'''						) as merges_handle:
											__lowercase			      =							merges_handle.read().split('''\n'''						)[1:-1]
							__lowercase			      =							[tuple(merge.split()						) for merge in bpe_merges]
							__lowercase			      =							dict(zip(lowerCAmelCase__				,       range(len(lowerCAmelCase__						)						)						)						)
							__lowercase			      =							{}
							__lowercase			      =							add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							__lowercase			      =							re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''						)





			@property
			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> List[Any]:

							'''simple docstring'''


							return len(self.encoder						)





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> str:

							'''simple docstring'''


							return dict(self.encoder				,       **self.added_tokens_encoder						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> Dict:

							'''simple docstring'''


							if token in self.cache:
											return self.cache[token]
							__lowercase			      =							tuple(lowerCAmelCase__						)
							__lowercase			      =							get_pairs(lowerCAmelCase__						)

							if not pairs:
											return token

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

															if word[i] == first and i < len(lowerCAmelCase__						) - 1 and word[i + 1] == second:
																			new_word.append(first + second						)
																			i += 2
															else:
																			new_word.append(word[i]						)
																			i += 1
											__lowercase			      =							tuple(lowerCAmelCase__						)
											__lowercase			      =							new_word
											if len(lowerCAmelCase__						) == 1:
															break
											else:
															__lowercase			      =							get_pairs(lowerCAmelCase__						)
							__lowercase			      =							''' '''.join(lowerCAmelCase__						)
							__lowercase			      =							word
							return word





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> Any:

							'''simple docstring'''


							__lowercase			      =							[]
							for token in re.findall(self.pat				,       lowerCAmelCase__						):
											__lowercase			      =							''''''.join(
											    self.byte_encoder[b] for b in token.encode('''utf-8'''						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
											bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCAmelCase__						).split(''' '''						)						)
							return bpe_tokens





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> str:

							'''simple docstring'''


							return self.encoder.get(lowerCAmelCase__				,       self.encoder.get(self.unk_token						)						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> Dict:

							'''simple docstring'''


							return self.decoder.get(lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> List[str]:

							'''simple docstring'''


							__lowercase			      =							''''''.join(lowerCAmelCase__						)
							__lowercase			      =							bytearray([self.byte_decoder[c] for c in text]						).decode('''utf-8'''				,       errors=self.errors						)
							return text





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__				,       lowerCAmelCase__ = None						)					-> Tuple[str]:

							'''simple docstring'''


							if not os.path.isdir(lowerCAmelCase__						):
											logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
											return
							__lowercase			      =							os.path.join(
							    lowerCAmelCase__				,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)
							__lowercase			      =							os.path.join(
							    lowerCAmelCase__				,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']						)

							with open(lowerCAmelCase__				,       '''w'''				,       encoding='''utf-8'''						) as f:
											f.write(json.dumps(self.encoder				,       indent=2				,       sort_keys=lowerCAmelCase__				,       ensure_ascii=lowerCAmelCase__						) + '''\n'''						)

							__lowercase			      =							0
							with open(lowerCAmelCase__				,       '''w'''				,       encoding='''utf-8'''						) as writer:
											writer.write('''#version: 0.2\n'''						)
											for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,       key=lambda lowerCAmelCase__						: kv[1]						):
															if index != token_index:
																			logger.warning(
																			    F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
																			    ''' Please check that the tokenizer is not corrupted!'''						)
																			__lowercase			      =							token_index
															writer.write(''' '''.join(lowerCAmelCase__						) + '''\n'''						)
															index += 1

							return vocab_file, merge_file





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__				,       lowerCAmelCase__ = None						)					-> List[int]:

							'''simple docstring'''


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





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__				,       lowerCAmelCase__ = None				,       lowerCAmelCase__ = False						)					-> List[int]:

							'''simple docstring'''


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

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





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__				,       lowerCAmelCase__ = None						)					-> List[int]:

							'''simple docstring'''


							__lowercase			      =							[self.sep_token_id]
							__lowercase			      =							[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]





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__				,       lowerCAmelCase__=False				,       **lowerCAmelCase__						)					-> int:

							'''simple docstring'''


							__lowercase			      =							kwargs.pop('''add_prefix_space'''				,       self.add_prefix_space						)
							if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase__						) > 0 and not text[0].isspace()):
											__lowercase			      =							''' ''' + text
							return (text, kwargs)
from collections import OrderedDict
from typing import Any, List, Mapping, Optional

from ... import PretrainedConfig, PreTrainedTokenizer
from ...onnx import OnnxConfig, PatchingSpec
from ...utils import TensorType, is_torch_available, logging


__a  :					int          =  logging.get_logger(__name__)

__a  :					Optional[Any]          =  {
    """microsoft/layoutlm-base-uncased""": (
        """https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/config.json"""
    ),
    """microsoft/layoutlm-large-uncased""": (
        """https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/config.json"""
    ),
}




class        _UpperCamelCase				(						_UpperCAmelCase			):


			"""simple docstring"""






			__a  :			List[Any]      			=						'''layoutlm'''





			def __init__(       self				,       lowerCAmelCase__=3_05_22				,       lowerCAmelCase__=7_68				,       lowerCAmelCase__=12				,       lowerCAmelCase__=12				,       lowerCAmelCase__=30_72				,       lowerCAmelCase__="gelu"				,       lowerCAmelCase__=0.1				,       lowerCAmelCase__=0.1				,       lowerCAmelCase__=5_12				,       lowerCAmelCase__=2				,       lowerCAmelCase__=0.02				,       lowerCAmelCase__=1E-12				,       lowerCAmelCase__=0				,       lowerCAmelCase__="absolute"				,       lowerCAmelCase__=True				,       lowerCAmelCase__=10_24				,       **lowerCAmelCase__				,       )					-> Tuple:

							'''simple docstring'''


							super().__init__(pad_token_id=lowerCAmelCase__				,       **lowerCAmelCase__						)
							__lowercase			      =							vocab_size
							__lowercase			      =							hidden_size
							__lowercase			      =							num_hidden_layers
							__lowercase			      =							num_attention_heads
							__lowercase			      =							hidden_act
							__lowercase			      =							intermediate_size
							__lowercase			      =							hidden_dropout_prob
							__lowercase			      =							attention_probs_dropout_prob
							__lowercase			      =							max_position_embeddings
							__lowercase			      =							type_vocab_size
							__lowercase			      =							initializer_range
							__lowercase			      =							layer_norm_eps
							__lowercase			      =							position_embedding_type
							__lowercase			      =							use_cache
							__lowercase			      =							max_ad_position_embeddings




class        _UpperCamelCase				(						_UpperCAmelCase			):


			"""simple docstring"""






			def __init__(       self				,       lowerCAmelCase__				,       lowerCAmelCase__ = "default"				,       lowerCAmelCase__ = None				,       )					-> str:

							'''simple docstring'''


							super().__init__(lowerCAmelCase__				,       task=lowerCAmelCase__				,       patching_specs=lowerCAmelCase__						)
							__lowercase			      =							config.max_ad_position_embeddings - 1





			@property
			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> Mapping[str, Mapping[int, str]]:

							'''simple docstring'''


							return OrderedDict(
							    [
							        ('''input_ids''', {0: '''batch''', 1: '''sequence'''}),
							        ('''bbox''', {0: '''batch''', 1: '''sequence'''}),
							        ('''attention_mask''', {0: '''batch''', 1: '''sequence'''}),
							        ('''token_type_ids''', {0: '''batch''', 1: '''sequence'''}),
							    ]						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__				,       lowerCAmelCase__ = -1				,       lowerCAmelCase__ = -1				,       lowerCAmelCase__ = False				,       lowerCAmelCase__ = None				,       )					-> Mapping[str, Any]:

							'''simple docstring'''


							__lowercase			      =							super().generate_dummy_inputs(
							    lowerCAmelCase__				,       batch_size=lowerCAmelCase__				,       seq_length=lowerCAmelCase__				,       is_pair=lowerCAmelCase__				,       framework=lowerCAmelCase__						)

							# Generate a dummy bbox
							__lowercase			      =							[48, 84, 73, 1_28]

							if not framework == TensorType.PYTORCH:
											raise NotImplementedError('''Exporting LayoutLM to ONNX is currently only supported for PyTorch.'''						)

							if not is_torch_available():
											raise ValueError('''Cannot generate dummy inputs without PyTorch installed.'''						)
							import torch

							__lowercase      ,					__lowercase			      =							input_dict['''input_ids'''].shape
							__lowercase			      =							torch.tensor([*[box] * seq_length]						).tile(lowerCAmelCase__				,       1				,       1						)
							return input_dict