




"""simple docstring"""

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	:      Union[str, Any]   =							logging.get_logger(__name__)

_lowerCamelCase	:      Optional[Any]   =							{
    'src_vocab_file': 'vocab-src.json',
    'tgt_vocab_file': 'vocab-tgt.json',
    'merges_file': 'merges.txt',
}

_lowerCamelCase	:      Dict   =							{
    '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	:      Dict   =							{'stas/tiny-wmt19-en-de': 1024}
_lowerCamelCase	:      Optional[int]   =							{
    'stas/tiny-wmt19-en-de': {
        'langs': ['en', 'de'],
        'model_max_length': 1024,
        'special_tokens_map_file': None,
        'full_tokenizer_file': None,
    }
}

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	A_	:					Tuple						 =		set()
	A_	:					List[str]						 =		word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)						)
		A_	:					Tuple						 =		char
	return pairs

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






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

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	A_	:					str						 =		[]
	for char in text:
		A_	:					Tuple						 =		unicodedata.category(snake_case__						)
		if cat.startswith('''C'''						):
			continue
		output.append(snake_case__						)
	return "".join(snake_case__						)

class 							lowercase   (     SCREAMING_SNAKE_CASE__):
				__lowerCAmelCase     :     Optional[Any]								= VOCAB_FILES_NAMES
				__lowerCAmelCase     :     int								= PRETRAINED_VOCAB_FILES_MAP
				__lowerCAmelCase     :     str								= PRETRAINED_INIT_CONFIGURATION
				__lowerCAmelCase     :     Tuple								= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__lowerCAmelCase     :     int								= ["""input_ids""", """attention_mask"""]







				def __init__(				self :       Tuple   ,  _lowerCamelCase :       Optional[Any]=None   ,  _lowerCamelCase :       List[str]=None   ,  _lowerCamelCase :       Union[str, Any]=None   ,  _lowerCamelCase :       int=None   ,  _lowerCamelCase :       Optional[Any]=False   ,  _lowerCamelCase :       List[Any]="<unk>"   ,  _lowerCamelCase :       Optional[Any]="<s>"   ,  _lowerCamelCase :       Union[str, Any]="</s>"   ,  _lowerCamelCase :       Tuple="<pad>"   ,  **_lowerCamelCase :       Optional[Any]   ,  ):



					"""simple docstring"""

					super().__init__(
					    langs=_UpperCAmelCase   ,  src_vocab_file=_UpperCAmelCase   ,  tgt_vocab_file=_UpperCAmelCase   ,  merges_file=_UpperCAmelCase   ,  do_lower_case=_UpperCAmelCase   ,  unk_token=_UpperCAmelCase   ,  bos_token=_UpperCAmelCase   ,  sep_token=_UpperCAmelCase   ,  pad_token=_UpperCAmelCase   ,  **_UpperCAmelCase   ,  )

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

					A_	:					int						 =		sacremoses

					A_	:					str						 =		src_vocab_file
					A_	:					List[Any]						 =		tgt_vocab_file
					A_	:					Optional[Any]						 =		merges_file
					A_	:					Union[str, Any]						 =		do_lower_case

					# cache of sm.MosesPunctNormalizer instance
					A_	:					List[str]						 =		{}
					# cache of sm.MosesTokenizer instance
					A_	:					int						 =		{}
					A_	:					int						 =		{}

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







				def        a_	(				self :       Union[str, Any]							):



					"""simple docstring"""

					return self.get_src_vocab()







				@property
				def        a_	(				self :       int							):



					"""simple docstring"""

					return self.src_vocab_size







				def        a_	(				self :       Any   ,  _lowerCamelCase :       int   ,  _lowerCamelCase :       Optional[int]							):



					"""simple docstring"""

					if lang not in self.cache_moses_punct_normalizer:
						A_	:					Union[str, Any]						 =		self.sm.MosesPunctNormalizer(lang=_UpperCAmelCase							)
						A_	:					Any						 =		punct_normalizer
					return self.cache_moses_punct_normalizer[lang].normalize(_UpperCAmelCase							)







				def        a_	(				self :       Tuple   ,  _lowerCamelCase :       str   ,  _lowerCamelCase :       Any							):



					"""simple docstring"""

					if lang not in self.cache_moses_tokenizer:
						A_	:					Optional[int]						 =		self.sm.MosesTokenizer(lang=_UpperCAmelCase							)
						A_	:					Tuple						 =		moses_tokenizer
					return self.cache_moses_tokenizer[lang].tokenize(
					    _UpperCAmelCase   ,  aggressive_dash_splits=_UpperCAmelCase   ,  return_str=_UpperCAmelCase   ,  escape=_UpperCAmelCase							)







				def        a_	(				self :       Optional[Any]   ,  _lowerCamelCase :       str   ,  _lowerCamelCase :       Optional[int]							):



					"""simple docstring"""

					if lang not in self.cache_moses_detokenizer:
						A_	:					Optional[int]						 =		self.sm.MosesDetokenizer(lang=_UpperCAmelCase							)
						A_	:					Optional[int]						 =		moses_detokenizer
					return self.cache_moses_detokenizer[lang].detokenize(_UpperCAmelCase							)







				def        a_	(				self :       Union[str, Any]   ,  _lowerCamelCase :       int   ,  _lowerCamelCase :       Optional[int]							):



					"""simple docstring"""

					A_	:					Tuple						 =		replace_unicode_punct(_UpperCAmelCase							)
					A_	:					int						 =		self.moses_punct_norm(_UpperCAmelCase   ,  _UpperCAmelCase							)
					A_	:					Optional[int]						 =		remove_non_printing_char(_UpperCAmelCase							)
					return text







				@property
				def        a_	(				self :       Any							):



					"""simple docstring"""

					return len(self.encoder							)







				@property
				def        a_	(				self :       Optional[int]							):



					"""simple docstring"""

					return len(self.decoder							)







				def        a_	(				self :       Optional[int]							):



					"""simple docstring"""

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







				def        a_	(				self :       Union[str, Any]							):



					"""simple docstring"""

					return dict(self.decoder   ,  **self.added_tokens_decoder							)







				def        a_	(				self :       int   ,  _lowerCamelCase :       Optional[int]							):



					"""simple docstring"""

					A_	:					str						 =		tuple(token[:-1]							) + (token[-1] + "</w>",)
					if token in self.cache:
						return self.cache[token]
					A_	:					Union[str, Any]						 =		get_pairs(_UpperCAmelCase							)

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

					while True:
						A_	:					str						 =		min(_UpperCAmelCase   ,  key=lambda _lowerCamelCase							: self.bpe_ranks.get(_UpperCAmelCase   ,  float('''inf'''							)							)							)
						if bigram not in self.bpe_ranks:
							break
						A_	:					Union[str, Any]						 =		bigram
						A_	:					Optional[Any]						 =		[]
						A_	:					List[Any]						 =		0
						while i < len(_UpperCAmelCase							):
							try:
								A_	:					List[str]						 =		word.index(_UpperCAmelCase   ,  _UpperCAmelCase							)
							except ValueError:
								new_word.extend(word[i:]							)
								break
							else:
								new_word.extend(word[i:j]							)
								A_	:					Optional[Any]						 =		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
						A_	:					str						 =		tuple(_UpperCAmelCase							)
						A_	:					List[str]						 =		new_word
						if len(_UpperCAmelCase							) == 1:
							break
						else:
							A_	:					List[Any]						 =		get_pairs(_UpperCAmelCase							)
					A_	:					Any						 =		" ".join(_UpperCAmelCase							)
					if word == "\n  </w>":
						A_	:					Tuple						 =		"\n</w>"
					A_	:					Optional[int]						 =		word
					return word







				def        a_	(				self :       int   ,  _lowerCamelCase :       List[Any]   ,  _lowerCamelCase :       str="en"   ,  _lowerCamelCase :       Dict=False							):



					"""simple docstring"""

					A_	:					Optional[int]						 =		self.src_lang

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

					if bypass_tokenizer:
						A_	:					Optional[Any]						 =		text.split()
					else:
						A_	:					List[Any]						 =		self.moses_pipeline(_UpperCAmelCase   ,  lang=_UpperCAmelCase							)
						A_	:					Dict						 =		self.moses_tokenize(_UpperCAmelCase   ,  lang=_UpperCAmelCase							)

					A_	:					str						 =		[]
					for token in text:
						if token:
							split_tokens.extend(list(self.bpe(_UpperCAmelCase							).split(''' '''							)							)							)

					return split_tokens







				def        a_	(				self :       int   ,  _lowerCamelCase :       Any							):



					"""simple docstring"""

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







				def        a_	(				self :       Optional[int]   ,  _lowerCamelCase :       Any							):



					"""simple docstring"""

					return self.decoder.get(_UpperCAmelCase   ,  self.unk_token							)







				def        a_	(				self :       Optional[int]   ,  _lowerCamelCase :       Optional[Any]							):



					"""simple docstring"""

					A_	:					List[Any]						 =		[t.replace(''' '''   ,  ''''''							).replace('''</w>'''   ,  ''' '''							) for t in tokens]
					A_	:					Any						 =		"".join(_UpperCAmelCase							).split()
					# detokenize
					A_	:					Optional[int]						 =		self.moses_detokenize(_UpperCAmelCase   ,  self.tgt_lang							)
					return text







				def        a_	(				self :       str   ,  _lowerCamelCase :       str   ,  _lowerCamelCase :       Tuple = None							):



					"""simple docstring"""

					A_	:					Optional[Any]						 =		[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 :       Union[str, Any]   ,  _lowerCamelCase :       int   ,  _lowerCamelCase :       Union[str, Any] = None   ,  _lowerCamelCase :       Optional[Any] = False							):



					"""simple docstring"""

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







				def        a_	(				self :       int   ,  _lowerCamelCase :       Optional[int]   ,  _lowerCamelCase :       str = None							):



					"""simple docstring"""

					A_	:					Dict						 =		[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 :       List[str]   ,  _lowerCamelCase :       str   ,  _lowerCamelCase :       Any = None							):



					"""simple docstring"""

					if not os.path.isdir(_UpperCAmelCase							):
						logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""							)
						return

					A_	:					Dict						 =		os.path.join(
					    _UpperCAmelCase   ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file''']							)
					A_	:					int						 =		os.path.join(
					    _UpperCAmelCase   ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file''']							)
					A_	:					Tuple						 =		os.path.join(
					    _UpperCAmelCase   ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']							)

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

					with open(_UpperCAmelCase   ,  '''w'''   ,  encoding='''utf-8'''							) as f:
						A_	:					str						 =		{v: k for k, v in self.decoder.items()}
						f.write(json.dumps(_UpperCAmelCase   ,  indent=2   ,  sort_keys=_UpperCAmelCase   ,  ensure_ascii=_UpperCAmelCase							) + '''\n'''							)

					A_	:					str						 =		0
					with open(_UpperCAmelCase   ,  '''w'''   ,  encoding='''utf-8'''							) as writer:
						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 {merges_file}: BPE merge indices are not consecutive."""
								    ''' Please check that the tokenizer is not corrupted!'''							)
								A_	:					Optional[int]						 =		token_index
							writer.write(''' '''.join(_UpperCAmelCase							) + '''\n'''							)
							index += 1

					return src_vocab_file, tgt_vocab_file, merges_file







				def __getstate__(				self :       List[str]							):



					"""simple docstring"""

					A_	:					str						 =		self.__dict__.copy()
					A_	:					List[Any]						 =		None
					return state







				def __setstate__(				self :       Any   ,  _lowerCamelCase :       str							):



					"""simple docstring"""

					A_	:					Any						 =		d

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

					A_	:					int						 =		sacremoses











'''simple docstring'''






import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class    A						(					SCREAMING_SNAKE_CASE__     ,				unittest.TestCase						):




				'''simple docstring'''





				A       =							BertweetTokenizer
				A       =							False
				def 			a_			(self     )      ->			Any:
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							__UpperCamelCase :     str										=  ["I", "m", "V@@", "R@@", "r", "e@@"]
							__UpperCamelCase :     int										=  dict(zip(_UpperCAmelCase					,    range(len(_UpperCAmelCase     )     )     )     )
							__UpperCamelCase :     List[Any]										=  ["#version: 0.2", "a m</w>"]
							__UpperCamelCase :     str										=  {"unk_token": "<unk>"}

							__UpperCamelCase :     Any										=  os.path.join(self.tmpdirname					,    VOCAB_FILES_NAMES["vocab_file"]     )
							__UpperCamelCase :     Tuple										=  os.path.join(self.tmpdirname					,    VOCAB_FILES_NAMES["merges_file"]     )
							with open(self.vocab_file					,    "w"					,    encoding="utf-8"     ) as fp:
										for token in vocab_tokens:
													fp.write(f"{token} {vocab_tokens[token]}\n"     )
							with open(self.merges_file					,    "w"					,    encoding="utf-8"     ) as fp:
										fp.write("\n".join(_UpperCAmelCase     )     )
				def 			a_			(self					,    **_UpperCAmelCase     )      ->			str:
							kwargs.update(self.special_tokens_map     )
							return BertweetTokenizer.from_pretrained(self.tmpdirname					,    **_UpperCAmelCase     )
				def 			a_			(self					,    _UpperCAmelCase     )      ->			Dict:
							__UpperCamelCase :     Dict										=  "I am VinAI Research"
							__UpperCamelCase :     Any										=  "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
							return input_text, output_text





				def 			a_			(self     )      ->			str:
							__UpperCamelCase :     Tuple										=  BertweetTokenizer(self.vocab_file					,    self.merges_file					,    **self.special_tokens_map     )
							__UpperCamelCase :     Union[str, Any]										=  "I am VinAI Research"
							__UpperCamelCase :     List[str]										=  "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
							__UpperCamelCase :     Optional[int]										=  tokenizer.tokenize(_UpperCAmelCase     )
							self.assertListEqual(_UpperCAmelCase					,    _UpperCAmelCase     )

							__UpperCamelCase :     Optional[Any]										=  tokens + [tokenizer.unk_token]

							__UpperCamelCase :     Any										=  [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase     )					,    _UpperCAmelCase     )



