




import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


UpperCAmelCase_									=	logging.get_logger(__name__)

UpperCAmelCase_									=	{
    'vocab_file': 'vocab.txt',
    'merges_file': 'bpe.codes',
}

UpperCAmelCase_									=	{
    'vocab_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt',
    },
    'merges_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes',
    },
}

UpperCAmelCase_									=	{
    'vinai/phobert-base': 256,
    'vinai/phobert-large': 256,
}




def 					lowerCamelCase__       (						A__       :					List[Any]	):





       '''simple docstring'''



       __lowerCamelCase   =						set()
       __lowerCamelCase   =						word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)	)
              __lowerCamelCase   =						char

       __lowerCamelCase   =						set(__a	)
       return pairs





class     lowerCamelCase__(					A__):
      UpperCAmelCase__      :	Optional[int]    		=   VOCAB_FILES_NAMES
      UpperCAmelCase__      :	Union[str, Any]    		=   PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase__      :	Optional[int]    		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      def __init__(				self: List[Any]    ,       UpperCamelCase_: List[str]    ,       UpperCamelCase_: Dict    ,       UpperCamelCase_: int="<s>"    ,       UpperCamelCase_: Any="</s>"    ,       UpperCamelCase_: int="</s>"    ,       UpperCamelCase_: Optional[int]="<s>"    ,       UpperCamelCase_: Optional[Any]="<unk>"    ,       UpperCamelCase_: int="<pad>"    ,       UpperCamelCase_: Union[str, Any]="<mask>"    ,       **UpperCamelCase_: Union[str, Any]    ,       ):
             super().__init__(
                 bos_token=UpperCamelCase_    ,       eos_token=UpperCamelCase_    ,       unk_token=UpperCamelCase_    ,       sep_token=UpperCamelCase_    ,       cls_token=UpperCamelCase_    ,       pad_token=UpperCamelCase_    ,       mask_token=UpperCamelCase_    ,       **UpperCamelCase_    ,       )

             __lowerCamelCase   =						vocab_file
             __lowerCamelCase   =						merges_file

             __lowerCamelCase   =						{}
             __lowerCamelCase   =						0
             __lowerCamelCase   =						1
             __lowerCamelCase   =						2
             __lowerCamelCase   =						3

             self.add_from_file(UpperCamelCase_   )

             __lowerCamelCase   =						{v: k for k, v in self.encoder.items()}

             with open(UpperCamelCase_    ,       encoding="""utf-8"""   ) as merges_handle:
                    __lowerCamelCase   =						merges_handle.read().split("""\n"""   )[:-1]
             __lowerCamelCase   =						[tuple(merge.split()[:-1]   ) for merge in merges]
             __lowerCamelCase   =						dict(zip(UpperCamelCase_    ,       range(len(UpperCamelCase_   )   )   )   )
             __lowerCamelCase   =						{}
      def 			lowerCAmelCase__						(				self: Any    ,       UpperCamelCase_: List[Any]    ,       UpperCamelCase_: List[Any] = None   ):


             if token_ids_a is None:
                    return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
             __lowerCamelCase   =						[self.cls_token_id]
             __lowerCamelCase   =						[self.sep_token_id]
             return cls + token_ids_a + sep + sep + token_ids_a + sep
      def 			lowerCAmelCase__						(				self: int    ,       UpperCamelCase_: Union[str, Any]    ,       UpperCamelCase_: Union[str, Any] = None    ,       UpperCamelCase_: Optional[Any] = False   ):


             if already_has_special_tokens:
                    return super().get_special_tokens_mask(
                        token_ids_a=UpperCamelCase_    ,       token_ids_a=UpperCamelCase_    ,       already_has_special_tokens=UpperCamelCase_   )

             if token_ids_a is None:
                    return [1] + ([0] * len(UpperCamelCase_   )) + [1]
             return [1] + ([0] * len(UpperCamelCase_   )) + [1, 1] + ([0] * len(UpperCamelCase_   )) + [1]
      def 			lowerCAmelCase__						(				self: Any    ,       UpperCamelCase_: Dict    ,       UpperCamelCase_: Optional[int] = None   ):
             __lowerCamelCase   =						[self.sep_token_id]
             __lowerCamelCase   =						[self.cls_token_id]

             if token_ids_a is None:
                    return len(cls + token_ids_a + sep   ) * [0]
             return len(cls + token_ids_a + sep + sep + token_ids_a + sep   ) * [0]
      @property
      def 			lowerCAmelCase__						(				self: List[str]   ):
             return len(self.encoder   )
      def 			lowerCAmelCase__						(				self: Optional[Any]   ):
             return dict(self.encoder    ,       **self.added_tokens_encoder   )
      def 			lowerCAmelCase__						(				self: Any    ,       UpperCamelCase_: Dict   ):


             if token in self.cache:
                    return self.cache[token]
             __lowerCamelCase   =						tuple(UpperCamelCase_   )
             __lowerCamelCase   =						tuple(list(word[:-1]   ) + [word[-1] + """</w>"""]   )
             __lowerCamelCase   =						get_pairs(UpperCamelCase_   )

             if not pairs:
                    return token

             while True:
                    __lowerCamelCase   =						min(UpperCamelCase_    ,       key=lambda UpperCamelCase_   : self.bpe_ranks.get(UpperCamelCase_    ,       float("""inf"""   )   )   )
                    if bigram not in self.bpe_ranks:
                           break
                    __lowerCamelCase   =						bigram
                    __lowerCamelCase   =						[]
                    __lowerCamelCase   =						0
                    while i < len(UpperCamelCase_   ):
                           try:
                                  __lowerCamelCase   =						word.index(UpperCamelCase_    ,       UpperCamelCase_   )
                           except ValueError:
                                  new_word.extend(word[i:]   )
                                  break
                           else:
                                  new_word.extend(word[i:j]   )
                                  __lowerCamelCase   =						j

                           if word[i] == first and i < len(UpperCamelCase_   ) - 1 and word[i + 1] == second:
                                  new_word.append(first + second   )
                                  i += 2
                           else:
                                  new_word.append(word[i]   )
                                  i += 1
                    __lowerCamelCase   =						tuple(UpperCamelCase_   )
                    __lowerCamelCase   =						new_word
                    if len(UpperCamelCase_   ) == 1:
                           break
                    else:
                           __lowerCamelCase   =						get_pairs(UpperCamelCase_   )
             __lowerCamelCase   =						'''@@ '''.join(UpperCamelCase_   )
             __lowerCamelCase   =						word[:-4]
             __lowerCamelCase   =						word
             return word
      def 			lowerCAmelCase__						(				self: Optional[Any]    ,       UpperCamelCase_: Union[str, Any]   ):
             __lowerCamelCase   =						[]

             __lowerCamelCase   =						re.findall(r"""\S+\n?"""    ,       UpperCamelCase_   )

             for token in words:
                    split_tokens.extend(list(self.bpe(UpperCamelCase_   ).split(""" """   )   )   )
             return split_tokens
      def 			lowerCAmelCase__						(				self: str    ,       UpperCamelCase_: Optional[int]   ):
             return self.encoder.get(UpperCamelCase_    ,       self.encoder.get(self.unk_token   )   )
      def 			lowerCAmelCase__						(				self: str    ,       UpperCamelCase_: Optional[Any]   ):
             return self.decoder.get(UpperCamelCase_    ,       self.unk_token   )
      def 			lowerCAmelCase__						(				self: List[str]    ,       UpperCamelCase_: Dict   ):
             __lowerCamelCase   =						''' '''.join(UpperCamelCase_   ).replace("""@@ """    ,       """"""   ).strip()
             return out_string
      def 			lowerCAmelCase__						(				self: Tuple    ,       UpperCamelCase_: Union[str, Any]    ,       UpperCamelCase_: Optional[int] = None   ):


             if not os.path.isdir(UpperCamelCase_   ):
                    logger.error(F'Vocabulary path ({save_directory}) should be a directory'   )
                    return
             __lowerCamelCase   =						os.path.join(
                 UpperCamelCase_    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
             __lowerCamelCase   =						os.path.join(
                 UpperCamelCase_    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]   )

             if os.path.abspath(self.vocab_file   ) != os.path.abspath(UpperCamelCase_   ):
                    copyfile(self.vocab_file    ,       UpperCamelCase_   )

             if os.path.abspath(self.merges_file   ) != os.path.abspath(UpperCamelCase_   ):
                    copyfile(self.merges_file    ,       UpperCamelCase_   )

             return out_vocab_file, out_merge_file




      def 			lowerCAmelCase__						(				self: Optional[Any]    ,       UpperCamelCase_: Tuple   ):


             if isinstance(UpperCamelCase_    ,       UpperCamelCase_   ):
                    try:
                           with open(UpperCamelCase_    ,       """r"""    ,       encoding="""utf-8"""   ) as fd:
                                  self.add_from_file(UpperCamelCase_   )
                    except FileNotFoundError as fnfe:
                           raise fnfe
                    except UnicodeError:
                           raise Exception(F'Incorrect encoding detected in {f}, please rebuild the dataset'   )
                    return

             __lowerCamelCase   =						f.readlines()
             for lineTmp in lines:
                    __lowerCamelCase   =						lineTmp.strip()
                    __lowerCamelCase   =						line.rfind(""" """   )
                    if idx == -1:
                           raise ValueError("""Incorrect dictionary format, expected \'<token> <cnt>\'"""   )
                    __lowerCamelCase   =						line[:idx]
                    __lowerCamelCase   =						len(self.encoder   )





'''simple docstring'''
from pathlib import Path

import fire
from tqdm import tqdm


def 			a      (			__a="ro" ,					__a="en" ,					__a="wmt16" ,					__a=None   )  ->	None:



					'''simple docstring'''






					try:
										import datasets
					except (ModuleNotFoundError, ImportError):
										raise ImportError('''run pip install datasets'''   )
					UpperCamelCase__   :int												= f'''{src_lang}-{tgt_lang}'''
					print(f'''Converting {dataset}-{pair}'''   )
					UpperCamelCase__   :Tuple												= datasets.load_dataset(__a ,					__a   )
					if save_dir is None:
										UpperCamelCase__   :Any												= f'''{dataset}-{pair}'''
					UpperCamelCase__   :Dict												= Path(__a   )
					save_dir.mkdir(exist_ok=__a   )

					for split in ds.keys():
										print(f'''Splitting {split} with {ds[split].num_rows} records'''   )

										# to save to val.source, val.target like summary datasets
										UpperCamelCase__   :Dict												= '''val''' if split == '''validation''' else split
										UpperCamelCase__   :List[Any]												= save_dir.joinpath(f'''{fn}.source'''   )
										UpperCamelCase__   :int												= save_dir.joinpath(f'''{fn}.target'''   )
										UpperCamelCase__   :Union[str, Any]												= src_path.open('''w+'''   )
										UpperCamelCase__   :Tuple												= tgt_path.open('''w+'''   )

										# reader is the bottleneck so writing one record at a time doesn't slow things down
										for x in tqdm(ds[split]   ):
															UpperCamelCase__   :Union[str, Any]												= x['''translation''']
															src_fp.write(ex[src_lang] + '''\n'''   )
															tgt_fp.write(ex[tgt_lang] + '''\n'''   )

					print(f'''Saved {dataset} dataset to {save_dir}'''   )


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