




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


lowercase_     :    Optional[int]      =			logging.get_logger(__name__)

lowercase_     :    List[Any]      =			{
    'source_spm': 'source.spm',
    'target_spm': 'target.spm',
    'vocab': 'vocab.json',
    'target_vocab_file': 'target_vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowercase_     :    List[str]      =			{
    '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'
        )
    },
}

lowercase_     :    List[str]      =			{'Helsinki-NLP/opus-mt-en-de': 5_12}
lowercase_     :    str      =			{}






class    __lowerCAmelCase			(	UpperCAmelCase__			):
   snake_case_				:			Tuple								=					VOCAB_FILES_NAMES
   snake_case_				:			Union[str, Any]								=					PRETRAINED_VOCAB_FILES_MAP
   snake_case_				:			Union[str, Any]								=					PRETRAINED_INIT_CONFIGURATION
   snake_case_				:			Dict								=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case_				:			str								=					["input_ids", "attention_mask"]
   snake_case_				:			int								=					re.compile(">>.+<<"			)  # type: re.Pattern







   def __init__(	self   :      List[str]   ,   snake_case__   :      Optional[int]   ,   snake_case__   :      str   ,   snake_case__   :      str   ,   snake_case__   :      str=None   ,   snake_case__   :      str=None   ,   snake_case__   :      Union[str, Any]=None   ,   snake_case__   :      Dict="<unk>"   ,   snake_case__   :      Optional[int]="</s>"   ,   snake_case__   :      Optional[int]="<pad>"   ,   snake_case__   :      Optional[Any]=512   ,   snake_case__   :      Optional[Dict[str, Any]] = None   ,   snake_case__   :      Tuple=False   ,   **snake_case__   :      str   ,   ):




         """simple docstring"""


         _UpperCAmelCase													=					{} 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=snake_case__   ,   target_lang=snake_case__   ,   unk_token=snake_case__   ,   eos_token=snake_case__   ,   pad_token=snake_case__   ,   model_max_length=snake_case__   ,   sp_model_kwargs=self.sp_model_kwargs   ,   target_vocab_file=snake_case__   ,   separate_vocabs=snake_case__   ,   **snake_case__   ,   )
         assert Path(snake_case__				).exists(), F"""cannot find spm source {source_spm}"""

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

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

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

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

         self._setup_normalizer()







   def UpperCamelCase      (	self   :      Optional[int]				):




         """simple docstring"""


         try:
               from sacremoses import MosesPunctNormalizer

               _UpperCAmelCase													=					MosesPunctNormalizer(self.source_lang				).normalize
         except (ImportError, FileNotFoundError):
               warnings.warn("Recommended: pip install sacremoses."				)
               _UpperCAmelCase													=					lambda snake_case__				: x







   def UpperCamelCase      (	self   :      List[Any]   ,   snake_case__   :      str				):




         """simple docstring"""


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







   def UpperCamelCase      (	self   :      Union[str, Any]   ,   snake_case__   :      Optional[int]				):




         """simple docstring"""


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







   def UpperCamelCase      (	self   :      int   ,   snake_case__   :      str				):




         """simple docstring"""


         _UpperCAmelCase													=					self.language_code_re.match(snake_case__				)
         _UpperCAmelCase													=					[match.group(0				)] if match else []
         return code, self.language_code_re.sub(""   ,   snake_case__				)







   def UpperCamelCase      (	self   :      List[Any]   ,   snake_case__   :      str				):




         """simple docstring"""


         _UpperCAmelCase							,			_UpperCAmelCase													=					self.remove_language_code(snake_case__				)
         _UpperCAmelCase													=					self.current_spm.encode(snake_case__   ,   out_type=snake_case__				)
         return code + pieces







   def UpperCamelCase      (	self   :      Dict   ,   snake_case__   :      int				):




         """simple docstring"""


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







   def UpperCamelCase      (	self   :      int   ,   snake_case__   :      int   ,   **snake_case__   :      List[str]				):




         """simple docstring"""


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







   def UpperCamelCase      (	self   :      int   ,   snake_case__   :      List[Any]   ,   **snake_case__   :      List[Any]				):




         """simple docstring"""


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







   def UpperCamelCase      (	self   :      Optional[Any]   ,   snake_case__   :      List[str]				):




         """simple docstring"""


         _UpperCAmelCase													=					self.spm_source if self._decode_use_source_tokenizer else self.spm_target
         _UpperCAmelCase													=					[]
         _UpperCAmelCase													=					""
         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(snake_case__				) + token + " "
                     _UpperCAmelCase													=					[]
               else:
                     current_sub_tokens.append(snake_case__				)
         out_string += sp_model.decode_pieces(snake_case__				)
         return out_string.strip()







   def UpperCamelCase      (	self   :      Dict   ,   snake_case__   :      Tuple   ,   snake_case__   :      Tuple=None				):




         """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   :      Any				):




         """simple docstring"""


         _UpperCAmelCase													=					self.spm_source
         _UpperCAmelCase													=					self.encoder







   def UpperCamelCase      (	self   :      str				):




         """simple docstring"""


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







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




         """simple docstring"""


         return len(self.encoder				)







   def UpperCamelCase      (	self   :      str   ,   snake_case__   :      str   ,   snake_case__   :      Optional[str] = None				):




         """simple docstring"""


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

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

         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]   ,   ):
               _UpperCAmelCase													=					os.path.join(
                   snake_case__   ,   (filename_prefix + "-" if filename_prefix else "") + spm_save_filename				)
               if os.path.abspath(snake_case__				) != os.path.abspath(snake_case__				) and os.path.isfile(snake_case__				):
                     copyfile(snake_case__   ,   snake_case__				)
                     saved_files.append(snake_case__				)
               elif not os.path.isfile(snake_case__				):
                     with open(snake_case__   ,   "wb"				) as fi:
                           _UpperCAmelCase													=					spm_model.serialized_model_proto()
                           fi.write(snake_case__				)
                     saved_files.append(snake_case__				)

         return tuple(snake_case__				)







   def UpperCamelCase      (	self   :      Optional[int]				):




         """simple docstring"""


         return self.get_src_vocab()







   def UpperCamelCase      (	self   :      List[str]				):




         """simple docstring"""


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







   def UpperCamelCase      (	self   :      List[Any]				):




         """simple docstring"""


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







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




         """simple docstring"""


         _UpperCAmelCase													=					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   :      str   ,   snake_case__   :      Dict				):




         """simple docstring"""


         _UpperCAmelCase													=					d

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

         _UpperCAmelCase							,			_UpperCAmelCase													=					(load_spm(snake_case__   ,   self.sp_model_kwargs				) for f in self.spm_files)
         _UpperCAmelCase													=					self.spm_source
         self._setup_normalizer()







   def UpperCamelCase      (	self   :      str   ,   *snake_case__   :      Optional[int]   ,   **snake_case__   :      Union[str, Any]				):




         """simple docstring"""


         return 1







   def UpperCamelCase      (	self   :      List[Any]   ,   snake_case__   :      Dict				):




         """simple docstring"""


         _UpperCAmelCase													=					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   :      Tuple   ,   snake_case__   :      List   ,   snake_case__   :      Optional[List] = None   ,   snake_case__   :      bool = False				):




         """simple docstring"""


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




def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

      '''simple docstring'''


      _UpperCAmelCase													=					sentencepiece.SentencePieceProcessor(**snake_case_						)
      spm.Load(snake_case_						)
      return spm


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

      '''simple docstring'''


      with open(snake_case_     ,   "w"						) as f:
            json.dump(snake_case_     ,   snake_case_     ,   indent=2						)





def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

      '''simple docstring'''


      with open(snake_case_     ,   "r"						) as f:
            return json.load(snake_case_						)










from __future__ import annotations


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						if len(snake_case_						) == 0:
												raise ValueError("find_max() arg is an empty sequence"						)
						_UpperCAmelCase													=					nums[0]
						for x in nums:
												if x > max_num:
																		_UpperCAmelCase													=					x
						return max_num


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)




