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  _UpperCAmelCase       (			lowerCAmelCase   ):



 '''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''']
 __A           = re.compile('''>>.+<<'''   )  # type: re.Pattern







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


   """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=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}'

   _UpperCamelCase				=  separate_vocabs
   _UpperCamelCase				=  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:
     _UpperCamelCase				=  load_json(lowercase_)
     _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(lowercase_				,      self.sp_model_kwargs)
   _UpperCamelCase				=  load_spm(lowercase_				,      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							:					Tuple)		->     Union[str, Any]:


   """simple docstring"""







   try:
     from sacremoses import MosesPunctNormalizer

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







 def 						__UpperCAmelCase							(						self							:					Tuple				,      lowercase_							:					str)		->     str:


   """simple docstring"""







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







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


   """simple docstring"""







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







 def 						__UpperCAmelCase							(						self							:					List[Any]				,      lowercase_							:					str)		->     Optional[Any]:


   """simple docstring"""







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







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


   """simple docstring"""







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







 def 						__UpperCAmelCase							(						self							:					int				,      lowercase_							:					int)		->     str:


   """simple docstring"""







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







 def 						__UpperCAmelCase							(						self							:					List[str]				,      lowercase_							:					Dict				,      **lowercase_							:					Optional[int])		->     Any:


   """simple docstring"""







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







 def 						__UpperCAmelCase							(						self							:					List[Any]				,      lowercase_							:					Optional[Any]				,      **lowercase_							:					List[str])		->     Union[str, Any]:


   """simple docstring"""







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







 def 						__UpperCAmelCase							(						self							:					Optional[Any]				,      lowercase_							:					List[str])		->     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(lowercase_) + token + " "
       _UpperCamelCase				=  []
     else:
       current_sub_tokens.append(lowercase_)
   out_string += sp_model.decode_pieces(lowercase_)
   return out_string.strip()







 def 						__UpperCAmelCase							(						self							:					Union[str, Any]				,      lowercase_							:					Any				,      lowercase_							:					Dict=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[int])		->     Dict:


   """simple docstring"""







   _UpperCamelCase				=  self.spm_source
   _UpperCamelCase				=  self.encoder







 def 						__UpperCAmelCase							(						self							:					Any)		->     List[Any]:


   """simple docstring"""







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







 @property
 def 						__UpperCAmelCase							(						self							:					Any)		->     int:


   """simple docstring"""







   return len(self.encoder)







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


   """simple docstring"""







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

   if self.separate_vocabs:
     _UpperCamelCase				=  os.path.join(
         lowercase_				,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab"]				,      )
     _UpperCamelCase				=  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:
     _UpperCamelCase				=  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]				,      ):
     _UpperCamelCase				=  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:
         _UpperCamelCase				=  spm_model.serialized_model_proto()
         fi.write(lowercase_)
       saved_files.append(lowercase_)

   return tuple(lowercase_)







 def 						__UpperCAmelCase							(						self							:					Any)		->     Dict:


   """simple docstring"""







   return self.get_src_vocab()







 def 						__UpperCAmelCase							(						self							:					List[Any])		->     Optional[Any]:


   """simple docstring"""







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







 def 						__UpperCAmelCase							(						self							:					Tuple)		->     Optional[int]:


   """simple docstring"""







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







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


   """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							:					Dict				,      lowercase_							:					Dict)		->     None:


   """simple docstring"""







   _UpperCamelCase				=  d

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

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







 def 						__UpperCAmelCase							(						self							:					List[str]				,      *lowercase_							:					List[str]				,      **lowercase_							:					Optional[int])		->     Any:


   """simple docstring"""







   return 1







 def 						__UpperCAmelCase							(						self							:					Dict				,      lowercase_							:					List[str])		->     Union[str, Any]:


   """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							:					Any				,      lowercase_							:					List				,      lowercase_							:					Optional[List] = None				,      lowercase_							:					bool = 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 							lowerCAmelCase__    (       a__  ,			a__      )	->sentencepiece.SentencePieceProcessor:




  '''simple docstring'''

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


def 							lowerCAmelCase__    (       a__  ,			a__      )	->None:




  '''simple docstring'''

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







def 							lowerCAmelCase__    (       a__      )	->Union[Dict, List]:




  '''simple docstring'''

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





from itertools import combinations, product


def 							lowerCAmelCase__    (       a__  ,			a__  ,			a__  ,			a__      )	->bool:




  '''simple docstring'''

  if xa == ya == 0 or xa == ya == 0:
    return False
  _UpperCamelCase				=  xa * xa + ya * ya
  _UpperCamelCase				=  xa * xa + ya * ya
  _UpperCamelCase				=  (xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
  return (
      a_square + b_square == c_square
      or a_square + c_square == b_square
      or b_square + c_square == a_square
  )


def 							lowerCAmelCase__    (       a__ = 50      )	->int:




  '''simple docstring'''

  return sum(
      1
      for pta, pta in combinations(product(range(limit + 1      )  ,			repeat=2      )  ,			2      )
      if is_right(*a__  ,			*a__      )      )


if __name__ == "__main__":
   print(F"{solution() = }")




