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

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


_SCREAMING_SNAKE_CASE:						List[Any]    	=       logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE:						List[str]    	=       {
    '''src_vocab_file''': '''vocab-src.json''',
    '''tgt_vocab_file''': '''vocab-tgt.json''',
    '''merges_file''': '''merges.txt''',
}

_SCREAMING_SNAKE_CASE:						Optional[int]    	=       {
    '''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'''},
}

_SCREAMING_SNAKE_CASE:						int    	=       {'''stas/tiny-wmt19-en-de''': 1_024}
_SCREAMING_SNAKE_CASE:						int    	=       {
    '''stas/tiny-wmt19-en-de''': {
        '''langs''': ['''en''', '''de'''],
        '''model_max_length''': 1_024,
        '''special_tokens_map_file''': None,
        '''full_tokenizer_file''': None,
    }
}






def    UpperCAmelCase__(						lowerCamelCase_  ):



			"""simple docstring"""





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






def    UpperCAmelCase__(						lowerCamelCase_  ):



			"""simple docstring"""





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






def    UpperCAmelCase__(						lowerCamelCase_  ):



			"""simple docstring"""





			_snake_case              =      []
			for char in text:
						_snake_case              =      unicodedata.category(lowerCamelCase_  )
						if cat.startswith("C"  ):
									continue
						output.append(lowerCamelCase_  )
			return "".join(lowerCamelCase_  )







class 	_SCREAMING_SNAKE_CASE							(     _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    :				int  ,					__SCREAMING_SNAKE_CASE    :				Tuple=None  ,					__SCREAMING_SNAKE_CASE    :				List[Any]=None  ,					__SCREAMING_SNAKE_CASE    :				Tuple=None  ,					__SCREAMING_SNAKE_CASE    :				Tuple=None  ,					__SCREAMING_SNAKE_CASE    :				List[Any]=False  ,					__SCREAMING_SNAKE_CASE    :				Optional[Any]="<unk>"  ,					__SCREAMING_SNAKE_CASE    :				Any="<s>"  ,					__SCREAMING_SNAKE_CASE    :				Optional[int]="</s>"  ,					__SCREAMING_SNAKE_CASE    :				Tuple="<pad>"  ,					**__SCREAMING_SNAKE_CASE    :				List[Any]  ,					):






					"""simple docstring"""
					super().__init__(
					    langs=__SCREAMING_SNAKE_CASE  ,					src_vocab_file=__SCREAMING_SNAKE_CASE  ,					tgt_vocab_file=__SCREAMING_SNAKE_CASE  ,					merges_file=__SCREAMING_SNAKE_CASE  ,					do_lower_case=__SCREAMING_SNAKE_CASE  ,					unk_token=__SCREAMING_SNAKE_CASE  ,					bos_token=__SCREAMING_SNAKE_CASE  ,					sep_token=__SCREAMING_SNAKE_CASE  ,					pad_token=__SCREAMING_SNAKE_CASE  ,					**__SCREAMING_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."   )

					_snake_case              =      sacremoses

					_snake_case              =      src_vocab_file
					_snake_case              =      tgt_vocab_file
					_snake_case              =      merges_file
					_snake_case              =      do_lower_case

					# cache of sm.MosesPunctNormalizer instance
					_snake_case              =      {}
					# cache of sm.MosesTokenizer instance
					_snake_case              =      {}
					_snake_case              =      {}

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



		def 				_a				(			self    :				Any   ):






					"""simple docstring"""
					return self.get_src_vocab()



		@property
		def 				_a				(			self    :				List[str]   ):






					"""simple docstring"""
					return self.src_vocab_size



		def 				_a				(			self    :				Tuple  ,					__SCREAMING_SNAKE_CASE    :				Union[str, Any]  ,					__SCREAMING_SNAKE_CASE    :				Any   ):






					"""simple docstring"""
					if lang not in self.cache_moses_punct_normalizer:
								_snake_case              =      self.sm.MosesPunctNormalizer(lang=__SCREAMING_SNAKE_CASE   )
								_snake_case              =      punct_normalizer
					return self.cache_moses_punct_normalizer[lang].normalize(__SCREAMING_SNAKE_CASE   )



		def 				_a				(			self    :				List[str]  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				Tuple   ):






					"""simple docstring"""
					if lang not in self.cache_moses_tokenizer:
								_snake_case              =      self.sm.MosesTokenizer(lang=__SCREAMING_SNAKE_CASE   )
								_snake_case              =      moses_tokenizer
					return self.cache_moses_tokenizer[lang].tokenize(
					    __SCREAMING_SNAKE_CASE  ,					aggressive_dash_splits=__SCREAMING_SNAKE_CASE  ,					return_str=__SCREAMING_SNAKE_CASE  ,					escape=__SCREAMING_SNAKE_CASE   )



		def 				_a				(			self    :				List[str]  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				Any   ):






					"""simple docstring"""
					if lang not in self.cache_moses_detokenizer:
								_snake_case              =      self.sm.MosesDetokenizer(lang=__SCREAMING_SNAKE_CASE   )
								_snake_case              =      moses_detokenizer
					return self.cache_moses_detokenizer[lang].detokenize(__SCREAMING_SNAKE_CASE   )



		def 				_a				(			self    :				str  ,					__SCREAMING_SNAKE_CASE    :				Any  ,					__SCREAMING_SNAKE_CASE    :				Optional[int]   ):






					"""simple docstring"""
					_snake_case              =      replace_unicode_punct(__SCREAMING_SNAKE_CASE   )
					_snake_case              =      self.moses_punct_norm(__SCREAMING_SNAKE_CASE  ,					__SCREAMING_SNAKE_CASE   )
					_snake_case              =      remove_non_printing_char(__SCREAMING_SNAKE_CASE   )
					return text



		@property
		def 				_a				(			self    :				Tuple   ):






					"""simple docstring"""
					return len(self.encoder   )



		@property
		def 				_a				(			self    :				Union[str, Any]   ):






					"""simple docstring"""
					return len(self.decoder   )



		def 				_a				(			self    :				str   ):






					"""simple docstring"""
					return dict(self.encoder  ,					**self.added_tokens_encoder   )



		def 				_a				(			self    :				List[str]   ):






					"""simple docstring"""
					return dict(self.decoder  ,					**self.added_tokens_decoder   )



		def 				_a				(			self    :				List[Any]  ,					__SCREAMING_SNAKE_CASE    :				Any   ):






					"""simple docstring"""
					_snake_case              =      tuple(token[:-1]   ) + (token[-1] + "</w>",)
					if token in self.cache:
								return self.cache[token]
					_snake_case              =      get_pairs(__SCREAMING_SNAKE_CASE   )

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

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

											if word[i] == first and i < len(__SCREAMING_SNAKE_CASE   ) - 1 and word[i + 1] == second:
														new_word.append(first + second   )
														i += 2
											else:
														new_word.append(word[i]   )
														i += 1
								_snake_case              =      tuple(__SCREAMING_SNAKE_CASE   )
								_snake_case              =      new_word
								if len(__SCREAMING_SNAKE_CASE   ) == 1:
											break
								else:
											_snake_case              =      get_pairs(__SCREAMING_SNAKE_CASE   )
					_snake_case              =      " ".join(__SCREAMING_SNAKE_CASE   )
					if word == "\n  </w>":
								_snake_case              =      "\n</w>"
					_snake_case              =      word
					return word



		def 				_a				(			self    :				Union[str, Any]  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				Optional[Any]="en"  ,					__SCREAMING_SNAKE_CASE    :				Union[str, Any]=False   ):






					"""simple docstring"""
					_snake_case              =      self.src_lang

					if self.do_lower_case:
								_snake_case              =      text.lower()

					if bypass_tokenizer:
								_snake_case              =      text.split()
					else:
								_snake_case              =      self.moses_pipeline(__SCREAMING_SNAKE_CASE  ,					lang=__SCREAMING_SNAKE_CASE   )
								_snake_case              =      self.moses_tokenize(__SCREAMING_SNAKE_CASE  ,					lang=__SCREAMING_SNAKE_CASE   )

					_snake_case              =      []
					for token in text:
								if token:
											split_tokens.extend(list(self.bpe(__SCREAMING_SNAKE_CASE   ).split(" "   )   )   )

					return split_tokens



		def 				_a				(			self    :				Any  ,					__SCREAMING_SNAKE_CASE    :				int   ):






					"""simple docstring"""
					return self.encoder.get(__SCREAMING_SNAKE_CASE  ,					self.encoder.get(self.unk_token   )   )



		def 				_a				(			self    :				Union[str, Any]  ,					__SCREAMING_SNAKE_CASE    :				Any   ):






					"""simple docstring"""
					return self.decoder.get(__SCREAMING_SNAKE_CASE  ,					self.unk_token   )



		def 				_a				(			self    :				List[Any]  ,					__SCREAMING_SNAKE_CASE    :				Union[str, Any]   ):






					"""simple docstring"""
					_snake_case              =      [t.replace(" "  ,					""   ).replace("</w>"  ,					" "   ) for t in tokens]
					_snake_case              =      "".join(__SCREAMING_SNAKE_CASE   ).split()
					# detokenize
					_snake_case              =      self.moses_detokenize(__SCREAMING_SNAKE_CASE  ,					self.tgt_lang   )
					return text



		def 				_a				(			self    :				Union[str, Any]  ,					__SCREAMING_SNAKE_CASE    :				List[int]  ,					__SCREAMING_SNAKE_CASE    :				Optional[List[int]] = None   ):






					"""simple docstring"""
					_snake_case              =      [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]  ,					__SCREAMING_SNAKE_CASE    :				List[int]  ,					__SCREAMING_SNAKE_CASE    :				Optional[List[int]] = None  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""

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



		def 				_a				(			self    :				List[Any]  ,					__SCREAMING_SNAKE_CASE    :				List[int]  ,					__SCREAMING_SNAKE_CASE    :				Optional[List[int]] = None   ):






					"""simple docstring"""
					_snake_case              =      [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    :				Optional[Any]  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				Optional[str] = None   ):






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

					_snake_case              =      os.path.join(
					    __SCREAMING_SNAKE_CASE  ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]   )
					_snake_case              =      os.path.join(
					    __SCREAMING_SNAKE_CASE  ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]   )
					_snake_case              =      os.path.join(
					    __SCREAMING_SNAKE_CASE  ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]   )

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

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

					_snake_case              =      0
					with open(__SCREAMING_SNAKE_CASE  ,					"w"  ,					encoding="utf-8"   ) as writer:
								for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,					key=lambda __SCREAMING_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!"   )
														_snake_case              =      token_index
											writer.write(" ".join(__SCREAMING_SNAKE_CASE   ) + "\n"   )
											index += 1

					return src_vocab_file, tgt_vocab_file, merges_file



		def __getstate__(			self    :				List[str]   ):






					"""simple docstring"""
					_snake_case              =      self.__dict__.copy()
					_snake_case              =      None
					return state







		def __setstate__(			self    :				Tuple  ,					__SCREAMING_SNAKE_CASE    :				Union[str, Any]   ):






					"""simple docstring"""
					_snake_case              =      d

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

					_snake_case              =      sacremoses


import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property

class 	_SCREAMING_SNAKE_CASE							(     unittest.TestCase							):






		"""simple docstring"""







		@cached_property
		def 				_a				(			self    :				Tuple   ):






					"""simple docstring"""
					return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B"   )



		@cached_property
		def 				_a				(			self    :				Tuple   ):






					"""simple docstring"""
					return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B"   )



		def 				_a				(			self    :				Optional[Any]   ):






					"""simple docstring"""
					_snake_case              =      self.tokenizer_ab
					_snake_case              =      " I am a small frog."
					_snake_case              =      tok([src_text]  ,					padding=__SCREAMING_SNAKE_CASE  ,					truncation=__SCREAMING_SNAKE_CASE   )["input_ids"]
					_snake_case              =      tok.batch_decode(__SCREAMING_SNAKE_CASE  ,					skip_special_tokens=__SCREAMING_SNAKE_CASE  ,					clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE   )[0]
					assert src_text == decoded



		def 				_a				(			self    :				str   ):






					"""simple docstring"""
					_snake_case              =      self.rust_tokenizer_ab
					_snake_case              =      " I am a small frog."
					_snake_case              =      tok([src_text]  ,					padding=__SCREAMING_SNAKE_CASE  ,					truncation=__SCREAMING_SNAKE_CASE   )["input_ids"]
					_snake_case              =      tok.batch_decode(__SCREAMING_SNAKE_CASE  ,					skip_special_tokens=__SCREAMING_SNAKE_CASE  ,					clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE   )[0]
					assert src_text == decoded



		def 				_a				(			self    :				Optional[Any]   ):






					"""simple docstring"""
					assert self.tokenizer_ab.add_prefix_space
					assert self.tokenizer_ab([" Sam", "Sam"]   ).input_ids == [[5_502, 2], [5_502, 2]]







		def 				_a				(			self    :				str   ):






					"""simple docstring"""
					assert self.rust_tokenizer_ab.add_prefix_space
					assert self.rust_tokenizer_ab([" Sam", "Sam"]   ).input_ids == [[5_502, 2], [5_502, 2]]

