

import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


lowerCamelCase									= logging.get_logger(__name__)

lowerCamelCase									= {
    '''source_spm''': '''source.spm''',
    '''target_spm''': '''target.spm''',
    '''vocab''': '''vocab.json''',
    '''target_vocab_file''': '''target_vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

lowerCamelCase									= {
    '''source_spm''': {
        '''Helsinki-NLP/opus-mt-en-de''': '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm'''
    },
    '''target_spm''': {
        '''Helsinki-NLP/opus-mt-en-de''': '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm'''
    },
    '''vocab''': {
        '''Helsinki-NLP/opus-mt-en-de''': '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json'''
    },
    '''tokenizer_config_file''': {
        '''Helsinki-NLP/opus-mt-en-de''': (
            '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json'''
        )
    },
}

lowerCamelCase									= {'''Helsinki-NLP/opus-mt-en-de''': 512}
lowerCamelCase									= {}







class 						__magic_name__      (							lowerCamelCase__							):

   '''simple docstring'''




   lowerCamelCase__			:     Optional[int]    =       VOCAB_FILES_NAMES
   lowerCamelCase__			:     Optional[int]    =       PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase__			:     str    =       PRETRAINED_INIT_CONFIGURATION
   lowerCamelCase__			:     int    =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase__			:     Optional[Any]    =       ['input_ids', 'attention_mask']
   lowerCamelCase__			:     List[Any]    =       re.compile('>>.+<<'							)  # type: re.Pattern



   def __init__(    self,   lowercase_,   lowercase_,   lowercase_,   lowercase_=None,   lowercase_=None,   lowercase_=None,   lowercase_="<unk>",   lowercase_="</s>",   lowercase_="<pad>",   lowercase_=512,   lowercase_ = None,   lowercase_=False,   **lowercase_,   )							->   None:






     """simple docstring"""






     a__  ={} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
         source_lang=lowercase_,   target_lang=lowercase_,   unk_token=lowercase_,   eos_token=lowercase_,   pad_token=lowercase_,   model_max_length=lowercase_,   sp_model_kwargs=self.sp_model_kwargs,   target_vocab_file=lowercase_,   separate_vocabs=lowercase_,   **lowercase_,   )
     assert Path(lowercase_	).exists(), F"""cannot find spm source {source_spm}"""

     a__  =separate_vocabs
     a__  =load_json(lowercase_	)
     if self.unk_token not in self.encoder:
       raise KeyError('''<unk> token must be in vocab'''	)
     assert self.pad_token in self.encoder

     if separate_vocabs:
       a__  =load_json(lowercase_	)
       a__  ={v: k for k, v in self.target_encoder.items()}
       a__  =[]
     else:
       a__  ={v: k for k, v in self.encoder.items()}
       a__  =[k for k in self.encoder if k.startswith('''>>'''	) and k.endswith('''<<'''	)]

     a__  =source_lang
     a__  =target_lang
     a__  =[source_spm, target_spm]

     # load SentencePiece model for pre-processing
     a__  =load_spm(lowercase_,   self.sp_model_kwargs	)
     a__  =load_spm(lowercase_,   self.sp_model_kwargs	)
     a__  =self.spm_source
     a__  =self.encoder

     # Multilingual target side: default to using first supported language code.

     self._setup_normalizer()



   def 			_UpperCAmelCase			(    self	)							->   Union[str, Any]:






     """simple docstring"""






     try:
       from sacremoses import MosesPunctNormalizer

       a__  =MosesPunctNormalizer(self.source_lang	).normalize
     except (ImportError, FileNotFoundError):
       warnings.warn('''Recommended: pip install sacremoses.'''	)
       a__  =lambda lowercase_	: x



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   str:






     """simple docstring"""






     return self.punc_normalizer(lowercase_	) if x else ""



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   int:






     """simple docstring"""






     return self.current_encoder.get(lowercase_,   self.current_encoder[self.unk_token]	)



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   Optional[Any]:






     """simple docstring"""






     a__  =self.language_code_re.match(lowercase_	)
     a__  =[match.group(0	)] if match else []
     return code, self.language_code_re.sub('''''',   lowercase_	)



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   List[str]:






     """simple docstring"""






     a__,				a__  =self.remove_language_code(lowercase_	)
     a__  =self.current_spm.encode(lowercase_,   out_type=lowercase_	)
     return code + pieces



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   str:






     """simple docstring"""






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



   def 			_UpperCAmelCase			(    self,   lowercase_,   **lowercase_	)							->   Any:






     """simple docstring"""






     return super().batch_decode(lowercase_,   **lowercase_	)



   def 			_UpperCAmelCase			(    self,   lowercase_,   **lowercase_	)							->   List[Any]:






     """simple docstring"""






     return super().decode(lowercase_,   **lowercase_	)



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   str:






     """simple docstring"""






     a__  =self.spm_source if self._decode_use_source_tokenizer else self.spm_target
     a__  =[]
     a__  =''''''
     for token in tokens:
       # make sure that special tokens are not decoded using sentencepiece model
       if token in self.all_special_tokens:
         out_string += sp_model.decode_pieces(lowercase_	) + token + " "
         a__  =[]
       else:
         current_sub_tokens.append(lowercase_	)
     out_string += sp_model.decode_pieces(lowercase_	)
     return out_string.strip()



   def 			_UpperCAmelCase			(    self,   lowercase_,   lowercase_=None	)							->   List[int]:






     """simple docstring"""






     if token_ids_a is None:
       return token_ids_a + [self.eos_token_id]
     # We don't expect to process pairs, but leave the pair logic for API consistency
     return token_ids_a + token_ids_a + [self.eos_token_id]



   def 			_UpperCAmelCase			(    self	)							->   Optional[Any]:






     """simple docstring"""






     a__  =self.spm_source
     a__  =self.encoder



   def 			_UpperCAmelCase			(    self	)							->   Union[str, Any]:






     """simple docstring"""






     a__  =self.spm_target
     if self.separate_vocabs:
       a__  =self.target_encoder



   @property
   def 			_UpperCAmelCase			(    self	)							->   int:






     """simple docstring"""






     return len(self.encoder	)



   def 			_UpperCAmelCase			(    self,   lowercase_,   lowercase_ = None	)							->   Tuple[str]:






     """simple docstring"""






     if not os.path.isdir(lowercase_	):
       logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
       return
     a__  =[]

     if self.separate_vocabs:
       a__  =os.path.join(
           lowercase_,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab'''],   )
       a__  =os.path.join(
           lowercase_,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''target_vocab_file'''],   )
       save_json(self.encoder,   lowercase_	)
       save_json(self.target_encoder,   lowercase_	)
       saved_files.append(lowercase_	)
       saved_files.append(lowercase_	)
     else:
       a__  =os.path.join(
           lowercase_,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']	)
       save_json(self.encoder,   lowercase_	)
       saved_files.append(lowercase_	)

     for spm_save_filename, spm_orig_path, spm_model in zip(
         [VOCAB_FILES_NAMES['''source_spm'''], VOCAB_FILES_NAMES['''target_spm''']],   self.spm_files,   [self.spm_source, self.spm_target],   ):
       a__  =os.path.join(
           lowercase_,   (filename_prefix + '''-''' if filename_prefix else '''''') + spm_save_filename	)
       if os.path.abspath(lowercase_	) != os.path.abspath(lowercase_	) and os.path.isfile(lowercase_	):
         copyfile(lowercase_,   lowercase_	)
         saved_files.append(lowercase_	)
       elif not os.path.isfile(lowercase_	):
         with open(lowercase_,   '''wb'''	) as fi:
           a__  =spm_model.serialized_model_proto()
           fi.write(lowercase_	)
         saved_files.append(lowercase_	)

     return tuple(lowercase_	)



   def 			_UpperCAmelCase			(    self	)							->   Dict:






     """simple docstring"""






     return self.get_src_vocab()



   def 			_UpperCAmelCase			(    self	)							->   Tuple:






     """simple docstring"""






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



   def 			_UpperCAmelCase			(    self	)							->   Optional[Any]:






     """simple docstring"""






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



   def __getstate__(    self	)							->   Dict:






     """simple docstring"""






     a__  =self.__dict__.copy()
     state.update(
         {k: None for k in ['''spm_source''', '''spm_target''', '''current_spm''', '''punc_normalizer''', '''target_vocab_file''']}	)
     return state



   def __setstate__(    self,   lowercase_	)							->   None:






     """simple docstring"""






     a__  =d

     # for backward compatibility
     if not hasattr(self,   '''sp_model_kwargs'''	):
       a__  ={}

     a__,				a__  =(load_spm(lowercase_,   self.sp_model_kwargs	) for f in self.spm_files)
     a__  =self.spm_source
     self._setup_normalizer()



   def 			_UpperCAmelCase			(    self,   *lowercase_,   **lowercase_	)							->   Tuple:






     """simple docstring"""






     return 1



   def 			_UpperCAmelCase			(    self,   lowercase_	)							->   Dict:






     """simple docstring"""






     a__  =set(self.all_special_ids	)  # call it once instead of inside list comp
     all_special_ids.remove(self.unk_token_id	)  # <unk> is only sometimes special
     return [1 if x in all_special_ids else 0 for x in seq]



   def 			_UpperCAmelCase			(    self,   lowercase_,   lowercase_ = None,   lowercase_ = False	)							->   List[int]:






     """simple docstring"""






     if already_has_special_tokens:
       return self._special_token_mask(lowercase_	)
     elif token_ids_a is None:
       return self._special_token_mask(lowercase_	) + [1]
     else:
       return self._special_token_mask(token_ids_a + token_ids_a	) + [1]





def       UpperCAmelCase__    (      _A				:			str     ,				_A				:			Dict[str, Any]							):





  '''simple docstring'''







  a__  =sentencepiece.SentencePieceProcessor(**_A							)
  spm.Load(_A							)
  return spm




def       UpperCAmelCase__    (      _A				:			Tuple     ,				_A				:			str							):





  '''simple docstring'''







  with open(_A     ,				'''w'''							) as f:
    json.dump(_A     ,				_A     ,				indent=2							)




def       UpperCAmelCase__    (      _A				:			str							):





  '''simple docstring'''







  with open(_A     ,				'''r'''							) as f:
    return json.load(_A							)



# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase									= abspath(join(dirname(dirname(dirname(__file__))), '''src'''))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)




def       UpperCAmelCase__    (      _A				:			List[Any]							):





  '''simple docstring'''







  from diffusers.utils.testing_utils import pytest_addoption_shared

  pytest_addoption_shared(_A							)




def       UpperCAmelCase__    (      _A				:			int							):





  '''simple docstring'''







  from diffusers.utils.testing_utils import pytest_terminal_summary_main

  a__  =terminalreporter.config.getoption('''--make-reports'''							)
  if make_reports:
    pytest_terminal_summary_main(_A     ,				id=_A							)
