





import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

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


UpperCAmelCase_       : List[Any]							=    logging.get_logger(__name__)

UpperCAmelCase_       : List[str]							=    {
    """src_vocab_file""": """vocab-src.json""",
    """tgt_vocab_file""": """vocab-tgt.json""",
    """merges_file""": """merges.txt""",
}

UpperCAmelCase_       : Dict							=    {
    """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"""},
}

UpperCAmelCase_       : List[str]							=    {"""stas/tiny-wmt19-en-de""": 10_24}
UpperCAmelCase_       : Dict							=    {
    """stas/tiny-wmt19-en-de""": {
        """langs""": ["""en""", """de"""],
        """model_max_length""": 10_24,
        """special_tokens_map_file""": None,
        """full_tokenizer_file""": None,
    }
}






def 				_lowerCAmelCase			(	_a :       Optional[int]      )						->      List[Any]:
     lowerCAmelCase_       :							str			 =		set()
     lowerCAmelCase_       :							Optional[Any]			 =		word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)      )
          lowerCAmelCase_       :							str			 =		char
     return pairs






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






def 				_lowerCAmelCase			(	_a :       Tuple      )						->      Dict:
     lowerCAmelCase_       :							Optional[Any]			 =		[]
     for char in text:
          lowerCAmelCase_       :							Optional[Any]			 =		unicodedata.category(UpperCAmelCase_      )
          if cat.startswith("""C"""      ):
               continue
          output.append(UpperCAmelCase_      )
     return "".join(UpperCAmelCase_      )







class   lowercase__     (				UpperCAmelCase__	):
  __UpperCamelCase						  =	VOCAB_FILES_NAMES
  __UpperCamelCase						  =	PRETRAINED_VOCAB_FILES_MAP
  __UpperCamelCase						  =	PRETRAINED_INIT_CONFIGURATION
  __UpperCamelCase						  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __UpperCamelCase						  =	["input_ids", "attention_mask"]







  def __init__(						self     ,    _lowercase=None     ,    _lowercase=None     ,    _lowercase=None     ,    _lowercase=None     ,    _lowercase=False     ,    _lowercase="<unk>"     ,    _lowercase="<s>"     ,    _lowercase="</s>"     ,    _lowercase="<pad>"     ,    **_lowercase     ,    ):
       super().__init__(
           langs=_lowerCAmelCase     ,    src_vocab_file=_lowerCAmelCase     ,    tgt_vocab_file=_lowerCAmelCase     ,    merges_file=_lowerCAmelCase     ,    do_lower_case=_lowerCAmelCase     ,    unk_token=_lowerCAmelCase     ,    bos_token=_lowerCAmelCase     ,    sep_token=_lowerCAmelCase     ,    pad_token=_lowerCAmelCase     ,    **_lowerCAmelCase     ,    )

       try:
            import sacremoses
       except ImportError:
            raise ImportError(
                """You need to install sacremoses to use XLMTokenizer. """
                """See https://pypi.org/project/sacremoses/ for installation."""    )

       lowerCAmelCase_       :							Tuple			 =		sacremoses

       lowerCAmelCase_       :							Union[str, Any]			 =		src_vocab_file
       lowerCAmelCase_       :							Union[str, Any]			 =		tgt_vocab_file
       lowerCAmelCase_       :							Optional[int]			 =		merges_file
       lowerCAmelCase_       :							Optional[int]			 =		do_lower_case

       # cache of sm.MosesPunctNormalizer instance
       lowerCAmelCase_       :							Tuple			 =		{}
       # cache of sm.MosesTokenizer instance
       lowerCAmelCase_       :							List[str]			 =		{}
       lowerCAmelCase_       :							List[Any]			 =		{}

       if langs and len(_lowerCAmelCase    ) == 2:
            lowerCAmelCase_ ,	lowerCAmelCase_       :							Optional[int]			 =		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(_lowerCAmelCase     ,    encoding="""utf-8"""    ) as src_vocab_handle:
            lowerCAmelCase_       :							Tuple			 =		json.load(_lowerCAmelCase    )
       with open(_lowerCAmelCase     ,    encoding="""utf-8"""    ) as tgt_vocab_handle:
            lowerCAmelCase_       :							Optional[int]			 =		json.load(_lowerCAmelCase    )
            lowerCAmelCase_       :							Tuple			 =		{v: k for k, v in tgt_vocab.items()}
       with open(_lowerCAmelCase     ,    encoding="""utf-8"""    ) as merges_handle:
            lowerCAmelCase_       :							Dict			 =		merges_handle.read().split("""\n"""    )[:-1]
       lowerCAmelCase_       :							Any			 =		[tuple(merge.split()[:2]    ) for merge in merges]
       lowerCAmelCase_       :							List[str]			 =		dict(zip(_lowerCAmelCase     ,    range(len(_lowerCAmelCase    )    )    )    )
       lowerCAmelCase_       :							Union[str, Any]			 =		{}







  def 						UpperCAmelCase__		(						self    ):
       return self.get_src_vocab()







  @property
  def 						UpperCAmelCase__		(						self    ):
       return self.src_vocab_size







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase    ):
       if lang not in self.cache_moses_punct_normalizer:
            lowerCAmelCase_       :							Tuple			 =		self.sm.MosesPunctNormalizer(lang=_lowerCAmelCase    )
            lowerCAmelCase_       :							str			 =		punct_normalizer
       return self.cache_moses_punct_normalizer[lang].normalize(_lowerCAmelCase    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase    ):
       if lang not in self.cache_moses_tokenizer:
            lowerCAmelCase_       :							List[Any]			 =		self.sm.MosesTokenizer(lang=_lowerCAmelCase    )
            lowerCAmelCase_       :							Dict			 =		moses_tokenizer
       return self.cache_moses_tokenizer[lang].tokenize(
           _lowerCAmelCase     ,    aggressive_dash_splits=_lowerCAmelCase     ,    return_str=_lowerCAmelCase     ,    escape=_lowerCAmelCase    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase    ):
       if lang not in self.cache_moses_detokenizer:
            lowerCAmelCase_       :							Union[str, Any]			 =		self.sm.MosesDetokenizer(lang=_lowerCAmelCase    )
            lowerCAmelCase_       :							Any			 =		moses_detokenizer
       return self.cache_moses_detokenizer[lang].detokenize(_lowerCAmelCase    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase    ):
       lowerCAmelCase_       :							Tuple			 =		replace_unicode_punct(_lowerCAmelCase    )
       lowerCAmelCase_       :							Dict			 =		self.moses_punct_norm(_lowerCAmelCase     ,    _lowerCAmelCase    )
       lowerCAmelCase_       :							str			 =		remove_non_printing_char(_lowerCAmelCase    )
       return text







  @property
  def 						UpperCAmelCase__		(						self    ):
       return len(self.encoder    )







  @property
  def 						UpperCAmelCase__		(						self    ):
       return len(self.decoder    )







  def 						UpperCAmelCase__		(						self    ):
       return dict(self.encoder     ,    **self.added_tokens_encoder    )







  def 						UpperCAmelCase__		(						self    ):
       return dict(self.decoder     ,    **self.added_tokens_decoder    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase    ):
       lowerCAmelCase_       :							Optional[int]			 =		tuple(token[:-1]    ) + (token[-1] + """</w>""",)
       if token in self.cache:
            return self.cache[token]
       lowerCAmelCase_       :							Optional[Any]			 =		get_pairs(_lowerCAmelCase    )

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

       while True:
            lowerCAmelCase_       :							Union[str, Any]			 =		min(_lowerCAmelCase     ,    key=lambda _lowercase    : self.bpe_ranks.get(_lowerCAmelCase     ,    float("""inf"""    )    )    )
            if bigram not in self.bpe_ranks:
                 break
            lowerCAmelCase_ ,	lowerCAmelCase_       :							Optional[Any]			 =		bigram
            lowerCAmelCase_       :							int			 =		[]
            lowerCAmelCase_       :							List[Any]			 =		0
            while i < len(_lowerCAmelCase    ):
                 try:
                      lowerCAmelCase_       :							Union[str, Any]			 =		word.index(_lowerCAmelCase     ,    _lowerCAmelCase    )
                 except ValueError:
                      new_word.extend(word[i:]    )
                      break
                 else:
                      new_word.extend(word[i:j]    )
                      lowerCAmelCase_       :							int			 =		j

                 if word[i] == first and i < len(_lowerCAmelCase    ) - 1 and word[i + 1] == second:
                      new_word.append(first + second    )
                      i += 2
                 else:
                      new_word.append(word[i]    )
                      i += 1
            lowerCAmelCase_       :							List[str]			 =		tuple(_lowerCAmelCase    )
            lowerCAmelCase_       :							Optional[int]			 =		new_word
            if len(_lowerCAmelCase    ) == 1:
                 break
            else:
                 lowerCAmelCase_       :							Dict			 =		get_pairs(_lowerCAmelCase    )
       lowerCAmelCase_       :							int			 =		""" """.join(_lowerCAmelCase    )
       if word == "\n  </w>":
            lowerCAmelCase_       :							int			 =		"""\n</w>"""
       lowerCAmelCase_       :							Any			 =		word
       return word







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase="en"     ,    _lowercase=False    ):
       lowerCAmelCase_       :							Optional[Any]			 =		self.src_lang

       if self.do_lower_case:
            lowerCAmelCase_       :							int			 =		text.lower()

       if bypass_tokenizer:
            lowerCAmelCase_       :							int			 =		text.split()
       else:
            lowerCAmelCase_       :							Dict			 =		self.moses_pipeline(_lowerCAmelCase     ,    lang=_lowerCAmelCase    )
            lowerCAmelCase_       :							str			 =		self.moses_tokenize(_lowerCAmelCase     ,    lang=_lowerCAmelCase    )

       lowerCAmelCase_       :							Optional[Any]			 =		[]
       for token in text:
            if token:
                 split_tokens.extend(list(self.bpe(_lowerCAmelCase    ).split(""" """    )    )    )

       return split_tokens







  def 						UpperCAmelCase__		(						self     ,    _lowercase    ):
       return self.encoder.get(_lowerCAmelCase     ,    self.encoder.get(self.unk_token    )    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase    ):
       return self.decoder.get(_lowerCAmelCase     ,    self.unk_token    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase    ):
       lowerCAmelCase_       :							str			 =		[t.replace(""" """     ,    """"""    ).replace("""</w>"""     ,    """ """    ) for t in tokens]
       lowerCAmelCase_       :							Optional[Any]			 =		"""""".join(_lowerCAmelCase    ).split()
       # detokenize
       lowerCAmelCase_       :							List[str]			 =		self.moses_detokenize(_lowerCAmelCase     ,    self.tgt_lang    )
       return text







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None    ):
       lowerCAmelCase_       :							int			 =		[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 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None     ,    _lowercase = False    ):

       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=_lowerCAmelCase     ,    token_ids_a=_lowerCAmelCase     ,    already_has_special_tokens=_lowerCAmelCase    )
       # no bos used in fairseq
       if token_ids_a is not None:
            return ([0] * len(_lowerCAmelCase    )) + [1] + ([0] * len(_lowerCAmelCase    )) + [1]
       return ([0] * len(_lowerCAmelCase    )) + [1]







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None    ):
       lowerCAmelCase_       :							str			 =		[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 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None    ):
       if not os.path.isdir(_lowerCAmelCase    ):
            logger.error(F'Vocabulary path ({save_directory}) should be a directory'    )
            return

       lowerCAmelCase_       :							Tuple			 =		os.path.join(
           _lowerCAmelCase     ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""]    )
       lowerCAmelCase_       :							int			 =		os.path.join(
           _lowerCAmelCase     ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""]    )
       lowerCAmelCase_       :							Union[str, Any]			 =		os.path.join(
           _lowerCAmelCase     ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]    )

       with open(_lowerCAmelCase     ,    """w"""     ,    encoding="""utf-8"""    ) as f:
            f.write(json.dumps(self.encoder     ,    indent=2     ,    sort_keys=_lowerCAmelCase     ,    ensure_ascii=_lowerCAmelCase    ) + """\n"""    )

       with open(_lowerCAmelCase     ,    """w"""     ,    encoding="""utf-8"""    ) as f:
            lowerCAmelCase_       :							Optional[Any]			 =		{v: k for k, v in self.decoder.items()}
            f.write(json.dumps(_lowerCAmelCase     ,    indent=2     ,    sort_keys=_lowerCAmelCase     ,    ensure_ascii=_lowerCAmelCase    ) + """\n"""    )

       lowerCAmelCase_       :							List[Any]			 =		0
       with open(_lowerCAmelCase     ,    """w"""     ,    encoding="""utf-8"""    ) as writer:
            for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,    key=lambda _lowercase    : 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!"""    )
                      lowerCAmelCase_       :							Any			 =		token_index
                 writer.write(""" """.join(_lowerCAmelCase    ) + """\n"""    )
                 index += 1

       return src_vocab_file, tgt_vocab_file, merges_file







  def __getstate__(						self    ):
       lowerCAmelCase_       :							Optional[Any]			 =		self.__dict__.copy()
       lowerCAmelCase_       :							int			 =		None
       return state







  def __setstate__(						self     ,    _lowercase    ):
       lowerCAmelCase_       :							str			 =		d

       try:
            import sacremoses
       except ImportError:
            raise ImportError(
                """You need to install sacremoses to use XLMTokenizer. """
                """See https://pypi.org/project/sacremoses/ for installation."""    )

       lowerCAmelCase_       :							Union[str, Any]			 =		sacremoses






import math
import os

import cva
import numpy as np

_lowerCamelCase							=      255.0





def 							lowerCamelCase    (							UpperCAmelCase_	:      float   ,       UpperCAmelCase_	:      float      )->			float:

       """simple docstring"""




       a			   =np.mean((original - contrast) ** 2      )
       if mse == 0:
              return 100

       return 20 * math.logaa(PIXEL_MAX / math.sqrt(UpperCAmelCase_      )      )





def 							lowerCamelCase    (							)->			None:

       """simple docstring"""




       a			   =os.path.dirname(os.path.realpath(UpperCAmelCase_      )      )
       # Loading images (original image and compressed image)
       a			   =cva.imread(os.path.join(UpperCAmelCase_   ,       """image_data/original_image.png"""      )      )
       a			   =cva.imread(os.path.join(UpperCAmelCase_   ,       """image_data/compressed_image.png"""      )   ,       1      )

       a			   =cva.imread(os.path.join(UpperCAmelCase_   ,       """image_data/PSNR-example-base.png"""      )      )
       a			   =cva.imread(
           os.path.join(UpperCAmelCase_   ,       """image_data/PSNR-example-comp-10.jpg"""      )   ,       1      )

       # Value expected: 29.73dB
       print("""-- First Test --"""      )
       print(F'''PSNR value is {peak_signal_to_noise_ratio(UpperCAmelCase_   ,       UpperCAmelCase_      )} dB'''      )

       # # Value expected: 31.53dB (Wikipedia Example)
       print("""\n-- Second Test --"""      )
       print(F'''PSNR value is {peak_signal_to_noise_ratio(UpperCAmelCase_   ,       UpperCAmelCase_      )} dB'''      )


if __name__ == "__main__":
    main()
