





'''simple docstring'''






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


snake_case_					  =	logging.get_logger(__name__)

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

snake_case_					  =	{
    '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'
        )
    },
}

snake_case_					  =	{'Helsinki-NLP/opus-mt-en-de': 5_1_2}
snake_case_					  =	{}
class      SCREAMING_SNAKE_CASE__      (    _UpperCAmelCase				):
    _A         =							VOCAB_FILES_NAMES
    _A         =							PRETRAINED_VOCAB_FILES_MAP
    _A         =							PRETRAINED_INIT_CONFIGURATION
    _A         =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _A         =							["input_ids", "attention_mask"]
    _A         =							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__    ,					):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	{} 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}"

          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	separate_vocabs
          SCREAMING_SNAKE_CASE_				:      int					=	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:
                SCREAMING_SNAKE_CASE_				:      str					=	load_json(lowercase__      )
                SCREAMING_SNAKE_CASE_				:      Optional[int]					=	{v: k for k, v in self.target_encoder.items()}
                SCREAMING_SNAKE_CASE_				:      Any					=	[]
          else:
                SCREAMING_SNAKE_CASE_				:      List[str]					=	{v: k for k, v in self.encoder.items()}
                SCREAMING_SNAKE_CASE_				:      list					=	[k for k in self.encoder if k.startswith(">>"      ) and k.endswith("<<"      )]

          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	source_lang
          SCREAMING_SNAKE_CASE_				:      Tuple					=	target_lang
          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	[source_spm, target_spm]

          # load SentencePiece model for pre-processing
          SCREAMING_SNAKE_CASE_				:      Any					=	load_spm(lowercase__    ,					self.sp_model_kwargs      )
          SCREAMING_SNAKE_CASE_				:      Any					=	load_spm(lowercase__    ,					self.sp_model_kwargs      )
          SCREAMING_SNAKE_CASE_				:      str					=	self.spm_source
          SCREAMING_SNAKE_CASE_				:      str					=	self.encoder

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

          self._setup_normalizer()




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          try:
                from sacremoses import MosesPunctNormalizer

                SCREAMING_SNAKE_CASE_				:      Tuple					=	MosesPunctNormalizer(self.source_lang      ).normalize
          except (ImportError, FileNotFoundError):
                warnings.warn("Recommended: pip install sacremoses."      )
                SCREAMING_SNAKE_CASE_				:      Optional[int]					=	lambda lowercase__      : x




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.language_code_re.match(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      list					=	[match.group(0      )] if match else []
          return code, self.language_code_re.sub(""    ,					lowercase__      )




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Tuple					=	self.remove_language_code(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	self.current_spm.encode(lowercase__    ,					out_type=lowercase__      )
          return code + pieces




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self    ,					lowercase__    ,					**lowercase__      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self    ,					lowercase__    ,					**lowercase__      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Tuple					=	self.spm_source if self._decode_use_source_tokenizer else self.spm_target
          SCREAMING_SNAKE_CASE_				:      Tuple					=	[]
          SCREAMING_SNAKE_CASE_				:      Any					=	""
          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 + " "
                      SCREAMING_SNAKE_CASE_				:      Optional[int]					=	[]
                else:
                      current_sub_tokens.append(lowercase__      )
          out_string += sp_model.decode_pieces(lowercase__      )
          return out_string.strip()




    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__=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   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	self.spm_source
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	self.encoder




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	self.spm_target
          if self.separate_vocabs:
                SCREAMING_SNAKE_CASE_				:      Dict					=	self.target_encoder




    @property
    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          return len(self.encoder      )




    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__ = None      ):






          """simple docstring"""






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

          if self.separate_vocabs:
                SCREAMING_SNAKE_CASE_				:      Dict					=	os.path.join(
                    lowercase__    ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab"]    ,					)
                SCREAMING_SNAKE_CASE_				:      List[Any]					=	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:
                SCREAMING_SNAKE_CASE_				:      List[Any]					=	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]    ,					):
                SCREAMING_SNAKE_CASE_				:      Any					=	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:
                            SCREAMING_SNAKE_CASE_				:      Dict					=	spm_model.serialized_model_proto()
                            fi.write(lowercase__      )
                      saved_files.append(lowercase__      )

          return tuple(lowercase__      )




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          return self.get_src_vocab()




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






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




    def __getstate__( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Any					=	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__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Tuple					=	d

          # for backward compatibility
          if not hasattr(self    ,					"sp_model_kwargs"      ):
                SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	{}

          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	(load_spm(lowercase__    ,					self.sp_model_kwargs      ) for f in self.spm_files)
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.spm_source
          self._setup_normalizer()




    def   __lowerCamelCase				( self    ,					*lowercase__    ,					**lowercase__      ):






          """simple docstring"""






          return 1




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      str					=	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   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__ = None    ,					lowercase__ = False      ):






          """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  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     str  ,  SCREAMING_SNAKE_CASE_					:     Dict[str, Any]   )							->       sentencepiece.SentencePieceProcessor:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE_   )
      spm.Load(SCREAMING_SNAKE_CASE_   )
      return spm


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     Any  ,  SCREAMING_SNAKE_CASE_					:     str   )							->       None:
      """simple docstring"""

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





def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     str   )							->       Union[Dict, List]:
      """simple docstring"""

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




'''simple docstring'''






def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     Optional[int]  ,  SCREAMING_SNAKE_CASE_					:     Tuple   )							->       List[str]:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      List[str]					=	(boundary[1] - boundary[0]) / steps
      SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	boundary[0]
      SCREAMING_SNAKE_CASE_				:      int					=	boundary[1]
      SCREAMING_SNAKE_CASE_				:      List[Any]					=	make_points(SCREAMING_SNAKE_CASE_  ,  SCREAMING_SNAKE_CASE_  ,  SCREAMING_SNAKE_CASE_   )
      SCREAMING_SNAKE_CASE_				:      Dict					=	0.0
      y += (h / 3.0) * f(SCREAMING_SNAKE_CASE_   )
      SCREAMING_SNAKE_CASE_				:      Tuple					=	2
      for i in x_i:
            y += (h / 3) * (4 - 2 * (cnt % 2)) * f(SCREAMING_SNAKE_CASE_   )
            cnt += 1
      y += (h / 3.0) * f(SCREAMING_SNAKE_CASE_   )
      return y


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     Optional[Any]  ,  SCREAMING_SNAKE_CASE_					:     List[Any]  ,  SCREAMING_SNAKE_CASE_					:     Optional[Any]   )							->       List[Any]:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      List[Any]					=	a + h
      while x < (b - h):
            yield x
            SCREAMING_SNAKE_CASE_				:      List[Any]					=	x + h


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     str   )							->       List[Any]:  # enter your function here
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      List[str]					=	(x - 0) * (x - 0)
      return y


def  __lowerCamelCase      (				)							->       int:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      List[Any]					=	0.0  # Lower bound of integration
      SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	1.0  # Upper bound of integration
      SCREAMING_SNAKE_CASE_				:      str					=	10.0  # define number of steps or resolution
      SCREAMING_SNAKE_CASE_				:      List[Any]					=	[a, b]  # define boundary of integration
      SCREAMING_SNAKE_CASE_				:      List[str]					=	method_a(SCREAMING_SNAKE_CASE_  ,  SCREAMING_SNAKE_CASE_   )
      print(F"y = {y}"   )


if __name__ == "__main__":
      main()

