

import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

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


lowerCAmelCase__             =		logging.get_logger(__name__)

lowerCAmelCase__             =		{
    """src_vocab_file""": """vocab-src.json""",
    """tgt_vocab_file""": """vocab-tgt.json""",
    """merges_file""": """merges.txt""",
}

lowerCAmelCase__             =		{
    """src_vocab_file""": {
        """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"""
    },
    """tgt_vocab_file""": {
        """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"""
    },
    """merges_file""": {"""stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"""},
}

lowerCAmelCase__             =		{"""stas/tiny-wmt19-en-de""": 1_0_2_4}
lowerCAmelCase__             =		{
    """stas/tiny-wmt19-en-de""": {
        """langs""": ["""en""", """de"""],
        """model_max_length""": 1_0_2_4,
        """special_tokens_map_file""": None,
        """full_tokenizer_file""": None,
    }
}






def        lowerCamelCase_  (				UpperCAmelCase_				:  List[Any]						)    ->					str:




	'''simple docstring'''




	_UpperCamelCase :		Optional[int]								=    set()
	_UpperCamelCase :		List[str]								=    word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)						)
		_UpperCamelCase :		Optional[Any]								=    char
	return pairs






def        lowerCamelCase_  (				UpperCAmelCase_				:  Dict						)    ->					int:




	'''simple docstring'''




	_UpperCamelCase :		Optional[int]								=    text.replace('，'				,							','						)
	_UpperCamelCase :		List[Any]								=    re.sub(R'。\s*'				,							'. '				,							UpperCAmelCase_						)
	_UpperCamelCase :		Union[str, Any]								=    text.replace('、'				,							','						)
	_UpperCamelCase :		Dict								=    text.replace('”'				,							'"'						)
	_UpperCamelCase :		int								=    text.replace('“'				,							'"'						)
	_UpperCamelCase :		int								=    text.replace('∶'				,							':'						)
	_UpperCamelCase :		Optional[int]								=    text.replace('：'				,							':'						)
	_UpperCamelCase :		int								=    text.replace('？'				,							'?'						)
	_UpperCamelCase :		Tuple								=    text.replace('《'				,							'"'						)
	_UpperCamelCase :		int								=    text.replace('》'				,							'"'						)
	_UpperCamelCase :		Any								=    text.replace('）'				,							')'						)
	_UpperCamelCase :		List[str]								=    text.replace('！'				,							'!'						)
	_UpperCamelCase :		str								=    text.replace('（'				,							'('						)
	_UpperCamelCase :		Optional[int]								=    text.replace('；'				,							';'						)
	_UpperCamelCase :		Union[str, Any]								=    text.replace('１'				,							'1'						)
	_UpperCamelCase :		int								=    text.replace('」'				,							'"'						)
	_UpperCamelCase :		List[str]								=    text.replace('「'				,							'"'						)
	_UpperCamelCase :		Any								=    text.replace('０'				,							'0'						)
	_UpperCamelCase :		Optional[Any]								=    text.replace('３'				,							'3'						)
	_UpperCamelCase :		Union[str, Any]								=    text.replace('２'				,							'2'						)
	_UpperCamelCase :		str								=    text.replace('５'				,							'5'						)
	_UpperCamelCase :		Any								=    text.replace('６'				,							'6'						)
	_UpperCamelCase :		int								=    text.replace('９'				,							'9'						)
	_UpperCamelCase :		Any								=    text.replace('７'				,							'7'						)
	_UpperCamelCase :		Optional[int]								=    text.replace('８'				,							'8'						)
	_UpperCamelCase :		Optional[Any]								=    text.replace('４'				,							'4'						)
	_UpperCamelCase :		List[Any]								=    re.sub(R'．\s*'				,							'. '				,							UpperCAmelCase_						)
	_UpperCamelCase :		Optional[int]								=    text.replace('～'				,							'~'						)
	_UpperCamelCase :		str								=    text.replace('’'				,							'\''						)
	_UpperCamelCase :		List[str]								=    text.replace('…'				,							'...'						)
	_UpperCamelCase :		int								=    text.replace('━'				,							'-'						)
	_UpperCamelCase :		int								=    text.replace('〈'				,							'<'						)
	_UpperCamelCase :		List[str]								=    text.replace('〉'				,							'>'						)
	_UpperCamelCase :		Tuple								=    text.replace('【'				,							'['						)
	_UpperCamelCase :		int								=    text.replace('】'				,							']'						)
	_UpperCamelCase :		Optional[int]								=    text.replace('％'				,							'%'						)
	return text






def        lowerCamelCase_  (				UpperCAmelCase_				:  Union[str, Any]						)    ->					Optional[Any]:




	'''simple docstring'''




	_UpperCamelCase :		Optional[Any]								=    []
	for char in text:
		_UpperCamelCase :		Tuple								=    unicodedata.category(UpperCAmelCase_						)
		if cat.startswith('C'						):
			continue
		output.append(UpperCAmelCase_						)
	return "".join(UpperCAmelCase_						)







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	VOCAB_FILES_NAMES
		a__       							=	PRETRAINED_VOCAB_FILES_MAP
		a__       							=	PRETRAINED_INIT_CONFIGURATION
		a__       							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a__       							=	["input_ids", "attention_mask"]


		def __init__(					self						,							__snake_case=None						,							__snake_case=None						,							__snake_case=None						,							__snake_case=None						,							__snake_case=False						,							__snake_case="<unk>"						,							__snake_case="<s>"						,							__snake_case="</s>"						,							__snake_case="<pad>"						,							**__snake_case						,							):
			super().__init__(
			    langs=__snake_case						,							src_vocab_file=__snake_case						,							tgt_vocab_file=__snake_case						,							merges_file=__snake_case						,							do_lower_case=__snake_case						,							unk_token=__snake_case						,							bos_token=__snake_case						,							sep_token=__snake_case						,							pad_token=__snake_case						,							**__snake_case						,							)

			try:
				import sacremoses
			except ImportError:
				raise ImportError(
				    'You need to install sacremoses to use XLMTokenizer. '
				    'See https://pypi.org/project/sacremoses/ for installation.')

			_UpperCamelCase :		List[str]								=    sacremoses

			_UpperCamelCase :		int								=    src_vocab_file
			_UpperCamelCase :		List[str]								=    tgt_vocab_file
			_UpperCamelCase :		Any								=    merges_file
			_UpperCamelCase :		Optional[Any]								=    do_lower_case

			# cache of sm.MosesPunctNormalizer instance
			_UpperCamelCase :		Dict								=    {}
			# cache of sm.MosesTokenizer instance
			_UpperCamelCase :		List[Any]								=    {}
			_UpperCamelCase :		Optional[Any]								=    {}

			if langs and len(__snake_case) == 2:
				_UpperCamelCase						,		_UpperCamelCase :		Any								=    langs
			else:
				raise ValueError(
				    f'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
				    'Usually that means that tokenizer can\'t find a mapping for the given model path '
				    'in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer.')

			with open(__snake_case						,							encoding='utf-8') as src_vocab_handle:
				_UpperCamelCase :		List[Any]								=    json.load(__snake_case)
			with open(__snake_case						,							encoding='utf-8') as tgt_vocab_handle:
				_UpperCamelCase :		int								=    json.load(__snake_case)
				_UpperCamelCase :		List[Any]								=    {v: k for k, v in tgt_vocab.items()}
			with open(__snake_case						,							encoding='utf-8') as merges_handle:
				_UpperCamelCase :		Tuple								=    merges_handle.read().split('\n')[:-1]
			_UpperCamelCase :		int								=    [tuple(merge.split()[:2]) for merge in merges]
			_UpperCamelCase :		Any								=    dict(zip(__snake_case						,							range(len(__snake_case))))
			_UpperCamelCase :		Optional[int]								=    {}


		def 		A__       (					self):
			return self.get_src_vocab()


		@property
		def 		A__       (					self):
			return self.src_vocab_size


		def 		A__       (					self						,							__snake_case						,							__snake_case):
			if lang not in self.cache_moses_punct_normalizer:
				_UpperCamelCase :		int								=    self.sm.MosesPunctNormalizer(lang=__snake_case)
				_UpperCamelCase :		List[Any]								=    punct_normalizer
			return self.cache_moses_punct_normalizer[lang].normalize(__snake_case)


		def 		A__       (					self						,							__snake_case						,							__snake_case):
			if lang not in self.cache_moses_tokenizer:
				_UpperCamelCase :		List[Any]								=    self.sm.MosesTokenizer(lang=__snake_case)
				_UpperCamelCase :		int								=    moses_tokenizer
			return self.cache_moses_tokenizer[lang].tokenize(
			    __snake_case						,							aggressive_dash_splits=__snake_case						,							return_str=__snake_case						,							escape=__snake_case)


		def 		A__       (					self						,							__snake_case						,							__snake_case):
			if lang not in self.cache_moses_detokenizer:
				_UpperCamelCase :		str								=    self.sm.MosesDetokenizer(lang=__snake_case)
				_UpperCamelCase :		int								=    moses_detokenizer
			return self.cache_moses_detokenizer[lang].detokenize(__snake_case)


		def 		A__       (					self						,							__snake_case						,							__snake_case):
			_UpperCamelCase :		Tuple								=    replace_unicode_punct(__snake_case)
			_UpperCamelCase :		Tuple								=    self.moses_punct_norm(__snake_case						,							__snake_case)
			_UpperCamelCase :		Any								=    remove_non_printing_char(__snake_case)
			return text


		@property
		def 		A__       (					self):
			return len(self.encoder)


		@property
		def 		A__       (					self):
			return len(self.decoder)


		def 		A__       (					self):
			return dict(self.encoder						,							**self.added_tokens_encoder)


		def 		A__       (					self):
			return dict(self.decoder						,							**self.added_tokens_decoder)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		Optional[int]								=    tuple(token[:-1]) + (token[-1] + '</w>',)
			if token in self.cache:
				return self.cache[token]
			_UpperCamelCase :		Dict								=    get_pairs(__snake_case)

			if not pairs:
				return token + "</w>"

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

					if word[i] == first and i < len(__snake_case) - 1 and word[i + 1] == second:
						new_word.append(first + second)
						i += 2
					else:
						new_word.append(word[i])
						i += 1
				_UpperCamelCase :		Union[str, Any]								=    tuple(__snake_case)
				_UpperCamelCase :		List[Any]								=    new_word
				if len(__snake_case) == 1:
					break
				else:
					_UpperCamelCase :		Tuple								=    get_pairs(__snake_case)
			_UpperCamelCase :		str								=    ' '.join(__snake_case)
			if word == "\n  </w>":
				_UpperCamelCase :		int								=    '\n</w>'
			_UpperCamelCase :		Any								=    word
			return word


		def 		A__       (					self						,							__snake_case						,							__snake_case="en"						,							__snake_case=False):
			_UpperCamelCase :		List[Any]								=    self.src_lang

			if self.do_lower_case:
				_UpperCamelCase :		Optional[Any]								=    text.lower()

			if bypass_tokenizer:
				_UpperCamelCase :		Optional[Any]								=    text.split()
			else:
				_UpperCamelCase :		Optional[Any]								=    self.moses_pipeline(__snake_case						,							lang=__snake_case)
				_UpperCamelCase :		int								=    self.moses_tokenize(__snake_case						,							lang=__snake_case)

			_UpperCamelCase :		Optional[int]								=    []
			for token in text:
				if token:
					split_tokens.extend(list(self.bpe(__snake_case).split(' ')))

			return split_tokens


		def 		A__       (					self						,							__snake_case):
			return self.encoder.get(__snake_case						,							self.encoder.get(self.unk_token))


		def 		A__       (					self						,							__snake_case):
			return self.decoder.get(__snake_case						,							self.unk_token)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		List[Any]								=    [t.replace(' '						,							'').replace('</w>'						,							' ') for t in tokens]
			_UpperCamelCase :		Union[str, Any]								=    ''.join(__snake_case).split()
			# detokenize
			_UpperCamelCase :		Any								=    self.moses_detokenize(__snake_case						,							self.tgt_lang)
			return text


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):
			_UpperCamelCase :		Optional[int]								=    [self.sep_token_id]

			# no bos used in fairseq
			if token_ids_a is None:
				return token_ids_a + sep
			return token_ids_a + sep + token_ids_a + sep


		def 		A__       (					self						,							__snake_case						,							__snake_case = None						,							__snake_case = False):

			if already_has_special_tokens:
				return super().get_special_tokens_mask(
				    token_ids_a=__snake_case						,							token_ids_a=__snake_case						,							already_has_special_tokens=__snake_case)
			# no bos used in fairseq
			if token_ids_a is not None:
				return ([0] * len(__snake_case)) + [1] + ([0] * len(__snake_case)) + [1]
			return ([0] * len(__snake_case)) + [1]


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):
			_UpperCamelCase :		int								=    [self.sep_token_id]

			# no bos used in fairseq
			if token_ids_a is None:
				return len(token_ids_a + sep) * [0]
			return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):
			if not os.path.isdir(__snake_case):
				logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
				return

			_UpperCamelCase :		int								=    os.path.join(
			    __snake_case						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['src_vocab_file'])
			_UpperCamelCase :		Dict								=    os.path.join(
			    __snake_case						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file'])
			_UpperCamelCase :		str								=    os.path.join(
			    __snake_case						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

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

			with open(__snake_case						,							'w'						,							encoding='utf-8') as f:
				_UpperCamelCase :		List[Any]								=    {v: k for k, v in self.decoder.items()}
				f.write(json.dumps(__snake_case						,							indent=2						,							sort_keys=__snake_case						,							ensure_ascii=__snake_case) + '\n')

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

			return src_vocab_file, tgt_vocab_file, merges_file


		def __getstate__(					self):
			_UpperCamelCase :		Dict								=    self.__dict__.copy()
			_UpperCamelCase :		Dict								=    None
			return state






		def __setstate__(					self						,							__snake_case):
			_UpperCamelCase :		Tuple								=    d

			try:
				import sacremoses
			except ImportError:
				raise ImportError(
				    'You need to install sacremoses to use XLMTokenizer. '
				    'See https://pypi.org/project/sacremoses/ for installation.')

			_UpperCamelCase :		str								=    sacremoses







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase__             =		{
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		["""MarkupLMTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		[
							    """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MarkupLMForQuestionAnswering""",
							    """MarkupLMForSequenceClassification""",
							    """MarkupLMForTokenClassification""",
							    """MarkupLMModel""",
							    """MarkupLMPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
							from .feature_extraction_markuplm import MarkupLMFeatureExtractor
							from .processing_markuplm import MarkupLMProcessor
							from .tokenization_markuplm import MarkupLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_markuplm_fast import MarkupLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_markuplm import (
														    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarkupLMForQuestionAnswering,
														    MarkupLMForSequenceClassification,
														    MarkupLMForTokenClassification,
														    MarkupLMModel,
														    MarkupLMPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase__             =		_LazyModule(__name__, globals()["""__file__"""], _import_structure)




