




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

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


lowerCamelCase__				:     int			       =							logging.get_logger(__name__)

lowerCamelCase__				:     int			       =							{
    'src_vocab_file': 'vocab-src.json',
    'tgt_vocab_file': 'vocab-tgt.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase__				:     int			       =							{
    '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'},
}

lowerCamelCase__				:     List[str]			       =							{'stas/tiny-wmt19-en-de': 1_024}
lowerCamelCase__				:     Optional[Any]			       =							{
    'stas/tiny-wmt19-en-de': {
        'langs': ['en', 'de'],
        'model_max_length': 1_024,
        'special_tokens_map_file': None,
        'full_tokenizer_file': None,
    }
}

def       UpperCAmelCase_							(   __UpperCAmelCase		:			Dict							)      ->				Dict:
      SCREAMING_SNAKE_CASE_					=    set()
      SCREAMING_SNAKE_CASE_					=    word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE_					=    char
      return pairs

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

def       UpperCAmelCase_							(   __UpperCAmelCase		:			Tuple							)      ->				Union[str, Any]:
      SCREAMING_SNAKE_CASE_					=    []
      for char in text:
            SCREAMING_SNAKE_CASE_					=    unicodedata.category(__UpperCAmelCase							)
            if cat.startswith('C'							):
                  continue
            output.append(__UpperCAmelCase							)
      return "".join(__UpperCAmelCase							)





class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE      ):


 '''simple docstring'''







 lowercase_       					=					VOCAB_FILES_NAMES
 lowercase_       					=					PRETRAINED_VOCAB_FILES_MAP
 lowercase_       					=					PRETRAINED_INIT_CONFIGURATION
 lowercase_       					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       					=					["input_ids", "attention_mask"]



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

       SCREAMING_SNAKE_CASE_					=    sacremoses

       SCREAMING_SNAKE_CASE_					=    src_vocab_file
       SCREAMING_SNAKE_CASE_					=    tgt_vocab_file
       SCREAMING_SNAKE_CASE_					=    merges_file
       SCREAMING_SNAKE_CASE_					=    do_lower_case

       # cache of sm.MosesPunctNormalizer instance
       SCREAMING_SNAKE_CASE_					=    {}
       # cache of sm.MosesTokenizer instance
       SCREAMING_SNAKE_CASE_					=    {}
       SCREAMING_SNAKE_CASE_					=    {}

       if langs and len(_lowerCAmelCase		) == 2:
             SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    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:
             SCREAMING_SNAKE_CASE_					=    json.load(_lowerCAmelCase		)
       with open(_lowerCAmelCase       ,       encoding='utf-8'		) as tgt_vocab_handle:
             SCREAMING_SNAKE_CASE_					=    json.load(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    {v: k for k, v in tgt_vocab.items()}
       with open(_lowerCAmelCase       ,       encoding='utf-8'		) as merges_handle:
             SCREAMING_SNAKE_CASE_					=    merges_handle.read().split('\n'		)[:-1]
       SCREAMING_SNAKE_CASE_					=    [tuple(merge.split()[:2]		) for merge in merges]
       SCREAMING_SNAKE_CASE_					=    dict(zip(_lowerCAmelCase       ,       range(len(_lowerCAmelCase		)		)		)		)
       SCREAMING_SNAKE_CASE_					=    {}



 def    lowerCAmelCase_						(							self						:	str		):
       return self.get_src_vocab()



 @property
 def    lowerCAmelCase_						(							self						:	Dict		):
       return self.src_vocab_size



 def    lowerCAmelCase_						(							self						:	Any       ,       _lowerCAmelCase						:	Dict       ,       _lowerCAmelCase						:	List[Any]		):
       if lang not in self.cache_moses_punct_normalizer:
             SCREAMING_SNAKE_CASE_					=    self.sm.MosesPunctNormalizer(lang=_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    punct_normalizer
       return self.cache_moses_punct_normalizer[lang].normalize(_lowerCAmelCase		)



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



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



 def    lowerCAmelCase_						(							self						:	Dict       ,       _lowerCAmelCase						:	List[Any]       ,       _lowerCAmelCase						:	Any		):
       SCREAMING_SNAKE_CASE_					=    replace_unicode_punct(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    self.moses_punct_norm(_lowerCAmelCase       ,       _lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    remove_non_printing_char(_lowerCAmelCase		)
       return text



 @property
 def    lowerCAmelCase_						(							self						:	Tuple		):
       return len(self.encoder		)



 @property
 def    lowerCAmelCase_						(							self						:	Optional[Any]		):
       return len(self.decoder		)



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



 def    lowerCAmelCase_						(							self						:	List[Any]		):
       return dict(self.decoder       ,       **self.added_tokens_decoder		)



 def    lowerCAmelCase_						(							self						:	Dict       ,       _lowerCAmelCase						:	str		):
       SCREAMING_SNAKE_CASE_					=    tuple(token[:-1]		) + (token[-1] + '</w>',)
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_					=    get_pairs(_lowerCAmelCase		)

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

       while True:
             SCREAMING_SNAKE_CASE_					=    min(_lowerCAmelCase       ,       key=lambda _lowerCAmelCase		: self.bpe_ranks.get(_lowerCAmelCase       ,       float('inf'		)		)		)
             if bigram not in self.bpe_ranks:
                   break
             SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    bigram
             SCREAMING_SNAKE_CASE_					=    []
             SCREAMING_SNAKE_CASE_					=    0
             while i < len(_lowerCAmelCase		):
                   try:
                         SCREAMING_SNAKE_CASE_					=    word.index(_lowerCAmelCase       ,       _lowerCAmelCase		)
                   except ValueError:
                         new_word.extend(word[i:]		)
                         break
                   else:
                         new_word.extend(word[i:j]		)
                         SCREAMING_SNAKE_CASE_					=    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
             SCREAMING_SNAKE_CASE_					=    tuple(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    new_word
             if len(_lowerCAmelCase		) == 1:
                   break
             else:
                   SCREAMING_SNAKE_CASE_					=    get_pairs(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    ' '.join(_lowerCAmelCase		)
       if word == "\n  </w>":
             SCREAMING_SNAKE_CASE_					=    '\n</w>'
       SCREAMING_SNAKE_CASE_					=    word
       return word



 def    lowerCAmelCase_						(							self						:	Any       ,       _lowerCAmelCase						:	List[Any]       ,       _lowerCAmelCase						:	Optional[int]="en"       ,       _lowerCAmelCase						:	Any=False		):
       SCREAMING_SNAKE_CASE_					=    self.src_lang

       if self.do_lower_case:
             SCREAMING_SNAKE_CASE_					=    text.lower()

       if bypass_tokenizer:
             SCREAMING_SNAKE_CASE_					=    text.split()
       else:
             SCREAMING_SNAKE_CASE_					=    self.moses_pipeline(_lowerCAmelCase       ,       lang=_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    self.moses_tokenize(_lowerCAmelCase       ,       lang=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    []
       for token in text:
             if token:
                   split_tokens.extend(list(self.bpe(_lowerCAmelCase		).split(' '		)		)		)

       return split_tokens



 def    lowerCAmelCase_						(							self						:	int       ,       _lowerCAmelCase						:	Optional[Any]		):
       return self.encoder.get(_lowerCAmelCase       ,       self.encoder.get(self.unk_token		)		)



 def    lowerCAmelCase_						(							self						:	Optional[int]       ,       _lowerCAmelCase						:	Any		):
       return self.decoder.get(_lowerCAmelCase       ,       self.unk_token		)



 def    lowerCAmelCase_						(							self						:	Tuple       ,       _lowerCAmelCase						:	str		):
       SCREAMING_SNAKE_CASE_					=    [t.replace(' '       ,       ''		).replace('</w>'       ,       ' '		) for t in tokens]
       SCREAMING_SNAKE_CASE_					=    ''.join(_lowerCAmelCase		).split()
       # detokenize
       SCREAMING_SNAKE_CASE_					=    self.moses_detokenize(_lowerCAmelCase       ,       self.tgt_lang		)
       return text



 def    lowerCAmelCase_						(							self						:	Dict       ,       _lowerCAmelCase						:	List[int]       ,       _lowerCAmelCase						:	Optional[List[int]] = None		):
       SCREAMING_SNAKE_CASE_					=    [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    lowerCAmelCase_						(							self						:	Dict       ,       _lowerCAmelCase						:	List[int]       ,       _lowerCAmelCase						:	Optional[List[int]] = None       ,       _lowerCAmelCase						:	bool = 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    lowerCAmelCase_						(							self						:	int       ,       _lowerCAmelCase						:	List[int]       ,       _lowerCAmelCase						:	Optional[List[int]] = None		):
       SCREAMING_SNAKE_CASE_					=    [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    lowerCAmelCase_						(							self						:	Optional[int]       ,       _lowerCAmelCase						:	str       ,       _lowerCAmelCase						:	Optional[str] = None		):
       if not os.path.isdir(_lowerCAmelCase		):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
             return

       SCREAMING_SNAKE_CASE_					=    os.path.join(
           _lowerCAmelCase       ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['src_vocab_file']		)
       SCREAMING_SNAKE_CASE_					=    os.path.join(
           _lowerCAmelCase       ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file']		)
       SCREAMING_SNAKE_CASE_					=    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:
             SCREAMING_SNAKE_CASE_					=    {v: k for k, v in self.decoder.items()}
             f.write(json.dumps(_lowerCAmelCase       ,       indent=2       ,       sort_keys=_lowerCAmelCase       ,       ensure_ascii=_lowerCAmelCase		) + '\n'		)

       SCREAMING_SNAKE_CASE_					=    0
       with open(_lowerCAmelCase       ,       'w'       ,       encoding='utf-8'		) as writer:
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,       key=lambda _lowerCAmelCase		: 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!'		)
                         SCREAMING_SNAKE_CASE_					=    token_index
                   writer.write(' '.join(_lowerCAmelCase		) + '\n'		)
                   index += 1

       return src_vocab_file, tgt_vocab_file, merges_file



 def __getstate__(							self						:	List[str]		):
       SCREAMING_SNAKE_CASE_					=    self.__dict__.copy()
       SCREAMING_SNAKE_CASE_					=    None
       return state




 def __setstate__(							self						:	Optional[Any]       ,       _lowerCAmelCase						:	List[Any]		):
       SCREAMING_SNAKE_CASE_					=    d

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

       SCREAMING_SNAKE_CASE_					=    sacremoses





import os
from pathlib import Path
from typing import Dict, List

import fire
import torch

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.utils.logging import get_logger


lowerCamelCase__				:     Optional[Any]			       =							get_logger(__name__)

def       UpperCAmelCase_							(   __UpperCAmelCase		:			str    ,    __UpperCAmelCase		:			str							)      ->				List[str]:
      if text.startswith(__UpperCAmelCase							):
            return text[len(__UpperCAmelCase							) :]
      return text  # or whatever

def       UpperCAmelCase_							(   __UpperCAmelCase		:			Union[str, Any]							)      ->				List[Any]:
      return {remove_prefix(__UpperCAmelCase    ,    'model.'							): v for k, v in sd.items()}

def       UpperCAmelCase_							(   __UpperCAmelCase		:			List[Dict[str, torch.Tensor]]							)      ->				Dict:
      SCREAMING_SNAKE_CASE_					=    {}
      for k in state_dicts[0].keys():
            SCREAMING_SNAKE_CASE_					=    [sd[k] for sd in state_dicts]
            SCREAMING_SNAKE_CASE_					=    sum(__UpperCAmelCase							) / len(__UpperCAmelCase							)
            assert isinstance(__UpperCAmelCase    ,    torch.Tensor							)
            SCREAMING_SNAKE_CASE_					=    new_t
      return new_sd

def       UpperCAmelCase_							(   __UpperCAmelCase		:			str    ,    __UpperCAmelCase		:			str    ,    __UpperCAmelCase		:			str							)      ->				None:
      SCREAMING_SNAKE_CASE_					=    AutoModelForSeqaSeqLM.from_pretrained(__UpperCAmelCase							)
      if os.path.isfile(__UpperCAmelCase							):
            SCREAMING_SNAKE_CASE_					=    [pl_ckpt_path]
      else:
            assert os.path.isdir(__UpperCAmelCase							)
            SCREAMING_SNAKE_CASE_					=    list(Path(__UpperCAmelCase							).glob('*.ckpt'							)							)
            assert ckpt_files, f"could not find any ckpt files inside the {pl_ckpt_path} directory"

      if len(__UpperCAmelCase							) > 1:
            logger.info(f"averaging the weights of {ckpt_files}"							)

      SCREAMING_SNAKE_CASE_					=    [sanitize(torch.load(__UpperCAmelCase    ,    map_location='cpu'							)['state_dict']							) for x in ckpt_files]
      SCREAMING_SNAKE_CASE_					=    average_state_dicts(__UpperCAmelCase							)

      SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    hf_model.load_state_dict(__UpperCAmelCase    ,    strict=__UpperCAmelCase							)
      assert not missing, f"missing keys: {missing}"
      hf_model.save_pretrained(__UpperCAmelCase							)
      try:
            SCREAMING_SNAKE_CASE_					=    AutoTokenizer.from_pretrained(__UpperCAmelCase							)
            tok.save_pretrained(__UpperCAmelCase							)
      except Exception:
            pass
            # dont copy tokenizer if cant


if __name__ == "__main__":
   fire.Fire(convert_pl_to_hf)