'''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


_A										= logging.get_logger(__name__)

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

_A										= {
    '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'},
}

_A										= {'stas/tiny-wmt19-en-de': 1_0_2_4}
_A										= {
    '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 _UpperCamelCase (							SCREAMING_SNAKE_CASE_				):
     lowercase_       :							Optional[int]  					=       set()
     lowercase_       :							Any  					=       word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)				)
          lowercase_       :							Optional[Any]  					=       char
     return pairs

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

def _UpperCamelCase (							SCREAMING_SNAKE_CASE_				):
     lowercase_       :							Any  					=       []
     for char in text:
          lowercase_       :							List[Any]  					=       unicodedata.category(snake_case_				)
          if cat.startswith('C'				):
               continue
          output.append(snake_case_				)
     return "".join(snake_case_				)






class    UpperCAmelCase__	(							_lowerCAmelCase      ):






   """simple docstring"""
   A				:							List[str]			     =     VOCAB_FILES_NAMES
   A				:							Any			     =     PRETRAINED_VOCAB_FILES_MAP
   A				:							Tuple			     =     PRETRAINED_INIT_CONFIGURATION
   A				:							List[str]			     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A				:							Dict			     =     ['''input_ids''', '''attention_mask''']
   def __init__(self							,					_a=None							,					_a=None							,					_a=None							,					_a=None							,					_a=False							,					_a="<unk>"							,					_a="<s>"							,					_a="</s>"							,					_a="<pad>"							,					**_a							,					)     ->  Optional[int]:
        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.'					)

        lowercase_       :							int  					=       sacremoses

        lowercase_       :							Tuple  					=       src_vocab_file
        lowercase_       :							List[Any]  					=       tgt_vocab_file
        lowercase_       :							List[Any]  					=       merges_file
        lowercase_       :							List[str]  					=       do_lower_case

        # cache of sm.MosesPunctNormalizer instance
        lowercase_       :							Optional[int]  					=       {}
        # cache of sm.MosesTokenizer instance
        lowercase_       :							int  					=       {}
        lowercase_       :							int  					=       {}

        if langs and len(_UpperCAmelCase					) == 2:
             lowercase_       :							Optional[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(_UpperCAmelCase							,					encoding='utf-8'					) as src_vocab_handle:
             lowercase_       :							Union[str, Any]  					=       json.load(_UpperCAmelCase					)
        with open(_UpperCAmelCase							,					encoding='utf-8'					) as tgt_vocab_handle:
             lowercase_       :							int  					=       json.load(_UpperCAmelCase					)
             lowercase_       :							Dict  					=       {v: k for k, v in tgt_vocab.items()}
        with open(_UpperCAmelCase							,					encoding='utf-8'					) as merges_handle:
             lowercase_       :							int  					=       merges_handle.read().split('\n'					)[:-1]
        lowercase_       :							Any  					=       [tuple(merge.split()[:2]					) for merge in merges]
        lowercase_       :							List[str]  					=       dict(zip(_UpperCAmelCase							,					range(len(_UpperCAmelCase					)					)					)					)
        lowercase_       :							List[str]  					=       {}
   def 		_lowerCamelCase			(self					)     ->  int:
        return self.get_src_vocab()
   @property
   def 		_lowerCamelCase			(self					)     ->  List[str]:
        return self.src_vocab_size
   def 		_lowerCamelCase			(self							,					_a							,					_a					)     ->  Optional[Any]:
        if lang not in self.cache_moses_punct_normalizer:
             lowercase_       :							Union[str, Any]  					=       self.sm.MosesPunctNormalizer(lang=_UpperCAmelCase					)
             lowercase_       :							str  					=       punct_normalizer
        return self.cache_moses_punct_normalizer[lang].normalize(_UpperCAmelCase					)
   def 		_lowerCamelCase			(self							,					_a							,					_a					)     ->  List[str]:
        if lang not in self.cache_moses_tokenizer:
             lowercase_       :							int  					=       self.sm.MosesTokenizer(lang=_UpperCAmelCase					)
             lowercase_       :							str  					=       moses_tokenizer
        return self.cache_moses_tokenizer[lang].tokenize(
            _UpperCAmelCase							,					aggressive_dash_splits=_UpperCAmelCase							,					return_str=_UpperCAmelCase							,					escape=_UpperCAmelCase					)
   def 		_lowerCamelCase			(self							,					_a							,					_a					)     ->  Dict:
        if lang not in self.cache_moses_detokenizer:
             lowercase_       :							Union[str, Any]  					=       self.sm.MosesDetokenizer(lang=_UpperCAmelCase					)
             lowercase_       :							Tuple  					=       moses_detokenizer
        return self.cache_moses_detokenizer[lang].detokenize(_UpperCAmelCase					)
   def 		_lowerCamelCase			(self							,					_a							,					_a					)     ->  Any:
        lowercase_       :							int  					=       replace_unicode_punct(_UpperCAmelCase					)
        lowercase_       :							Optional[Any]  					=       self.moses_punct_norm(_UpperCAmelCase							,					_UpperCAmelCase					)
        lowercase_       :							List[str]  					=       remove_non_printing_char(_UpperCAmelCase					)
        return text
   @property
   def 		_lowerCamelCase			(self					)     ->  Union[str, Any]:
        return len(self.encoder					)
   @property
   def 		_lowerCamelCase			(self					)     ->  Optional[Any]:
        return len(self.decoder					)
   def 		_lowerCamelCase			(self					)     ->  Union[str, Any]:
        return dict(self.encoder							,					**self.added_tokens_encoder					)
   def 		_lowerCamelCase			(self					)     ->  Dict:
        return dict(self.decoder							,					**self.added_tokens_decoder					)
   def 		_lowerCamelCase			(self							,					_a					)     ->  Optional[int]:
        lowercase_       :							int  					=       tuple(token[:-1]					) + (token[-1] + '</w>',)
        if token in self.cache:
             return self.cache[token]
        lowercase_       :							Union[str, Any]  					=       get_pairs(_UpperCAmelCase					)

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

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

        if self.do_lower_case:
             lowercase_       :							List[Any]  					=       text.lower()

        if bypass_tokenizer:
             lowercase_       :							List[str]  					=       text.split()
        else:
             lowercase_       :							List[Any]  					=       self.moses_pipeline(_UpperCAmelCase							,					lang=_UpperCAmelCase					)
             lowercase_       :							Union[str, Any]  					=       self.moses_tokenize(_UpperCAmelCase							,					lang=_UpperCAmelCase					)

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

        return split_tokens
   def 		_lowerCamelCase			(self							,					_a					)     ->  List[str]:
        return self.encoder.get(_UpperCAmelCase							,					self.encoder.get(self.unk_token					)					)
   def 		_lowerCamelCase			(self							,					_a					)     ->  Any:
        return self.decoder.get(_UpperCAmelCase							,					self.unk_token					)
   def 		_lowerCamelCase			(self							,					_a					)     ->  str:
        lowercase_       :							str  					=       [t.replace(' '							,					''					).replace('</w>'							,					' '					) for t in tokens]
        lowercase_       :							Dict  					=       ''.join(_UpperCAmelCase					).split()
        # detokenize
        lowercase_       :							Union[str, Any]  					=       self.moses_detokenize(_UpperCAmelCase							,					self.tgt_lang					)
        return text
   def 		_lowerCamelCase			(self							,					_a							,					_a = None					)     ->  Optional[int]:
        lowercase_       :							List[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 		_lowerCamelCase			(self							,					_a							,					_a = None							,					_a = False					)     ->  Optional[Any]:

        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 		_lowerCamelCase			(self							,					_a							,					_a = None					)     ->  Dict:
        lowercase_       :							Any  					=       [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 		_lowerCamelCase			(self							,					_a							,					_a = None					)     ->  Dict:
        if not os.path.isdir(_UpperCAmelCase					):
             logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
             return

        lowercase_       :							Tuple  					=       os.path.join(
            _UpperCAmelCase							,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['src_vocab_file']					)
        lowercase_       :							List[Any]  					=       os.path.join(
            _UpperCAmelCase							,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file']					)
        lowercase_       :							int  					=       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:
             lowercase_       :							Optional[Any]  					=       {v: k for k, v in self.decoder.items()}
             f.write(json.dumps(_UpperCAmelCase							,					indent=2							,					sort_keys=_UpperCAmelCase							,					ensure_ascii=_UpperCAmelCase					) + '\n'					)

        lowercase_       :							Optional[int]  					=       0
        with open(_UpperCAmelCase							,					'w'							,					encoding='utf-8'					) as writer:
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,					key=lambda _a					: 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!'					)
                       lowercase_       :							Any  					=       token_index
                  writer.write(' '.join(_UpperCAmelCase					) + '\n'					)
                  index += 1

        return src_vocab_file, tgt_vocab_file, merges_file
   def __getstate__(self					)     ->  Tuple:
        lowercase_       :							Dict  					=       self.__dict__.copy()
        lowercase_       :							int  					=       None
        return state





   def __setstate__(self							,					_a					)     ->  str:
        lowercase_       :							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.'					)

        lowercase_       :							Dict  					=       sacremoses







import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin


class      lowerCamelCase_ (			_lowerCAmelCase	,				unittest.TestCase):
 _lowerCAmelCase									=	SpeechaTextaTokenizer
 _lowerCAmelCase									=	False




 def     a       (			self							):
   super().setUp()

   __UpperCAmelCase	:  List[Any]		=     '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '							)
   __UpperCAmelCase	:  Dict		=     ['he re</w> 123', 'here a 1456']
   __UpperCAmelCase	:  Optional[int]		=     dict(zip(_UpperCAmelCase  ,  range(len(_UpperCAmelCase							)							)							)							)

   __UpperCAmelCase	:  List[Any]		=     {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

   __UpperCAmelCase	:  Tuple		=     tempfile.mkdtemp()
   __UpperCAmelCase	:  str		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['vocab_file']							)
   __UpperCAmelCase	:  List[Any]		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['merges_file']							)

   with open(self.vocab_file  ,  'w'  ,  encoding='utf-8'							) as fp:
     fp.write(json.dumps(_UpperCAmelCase							) + '\n'							)

   with open(self.merges_file  ,  'w'							) as fp:
     fp.write('\n'.join(_UpperCAmelCase							)							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     list(self.get_tokenizer().get_vocab().keys()							)

   self.assertEqual(vocab_keys[0]  ,  '<s>'							)
   self.assertEqual(vocab_keys[1]  ,  '<pad>'							)
   self.assertEqual(vocab_keys[-1]  ,  'vocab'							)
   self.assertEqual(len(_UpperCAmelCase							)  ,  14							)




 def     a       (			self							):
   self.assertEqual(self.get_tokenizer().vocab_size  ,  14							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   # make sure @@ is correctly concatenated
   __UpperCAmelCase	:  int		=     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
   __UpperCAmelCase	:  List[str]		=     tokenizer.decode(_UpperCAmelCase							)

   self.assertTrue(output_string == 'herecouple words ofthe'							)




 def     a       (			self							):
   __UpperCAmelCase	:  Union[str, Any]		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     tokenizer.save_pretrained(_UpperCAmelCase							)
     os.remove(os.path.join(_UpperCAmelCase  ,  'merges.txt'							)							)

     # load tokenizer without merges file should not throw an error
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     # save tokenizer and load again
     tokenizer.save_pretrained(_UpperCAmelCase							)
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   self.assertIsNotNone(_UpperCAmelCase							)




 def     a       (			self							):
   if not self.test_slow_tokenizer:
     return

   __UpperCAmelCase	:  List[Any]		=     inspect.signature(self.tokenizer_class.__init__							)
   __UpperCAmelCase	:  List[Any]		=     self.get_tokenizer()

   for parameter_name, parameter in signature.parameters.items():
     if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
       self.assertIn(_UpperCAmelCase  ,  tokenizer.init_kwargs							)





