

'''simple docstring'''




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


_lowerCAmelCase         =						logging.get_logger(__name__)

_lowerCAmelCase         =						{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_lowerCAmelCase         =						{
    "tokenizer_file": {
        "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json",
    },
}

_lowerCAmelCase         =						{
    "gpt-neox-20b": 2048,
}






class   _SCREAMING_SNAKE_CASE   (   __a     ):
 __SCREAMING_SNAKE_CASE					:Any      	=					VOCAB_FILES_NAMES
 __SCREAMING_SNAKE_CASE					:Any      	=					PRETRAINED_VOCAB_FILES_MAP
 __SCREAMING_SNAKE_CASE					:Any      	=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __SCREAMING_SNAKE_CASE					:Union[str, Any]      	=					["""input_ids""", """attention_mask"""]



 def __init__(   self		:   Optional[Any]			,				a__		:   int=None			,				a__		:   Optional[int]=None			,				a__		:   Optional[Any]=None			,				a__		:   Tuple="<|endoftext|>"			,				a__		:   Optional[Any]="<|endoftext|>"			,				a__		:   Any="<|endoftext|>"			,				a__		:   Optional[int]=False			,				**a__		:   Any			,				):
      super().__init__(
          a__			,				a__			,				tokenizer_file=a__			,				unk_token=a__			,				bos_token=a__			,				eos_token=a__			,				add_prefix_space=a__			,				**a__			,				)

      __magic_name__						       =    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
      if pre_tok_state.get('''add_prefix_space'''			,				a__      ) != add_prefix_space:
           __magic_name__						       =    getattr(a__			,				pre_tok_state.pop('''type'''      )      )
           __magic_name__						       =    add_prefix_space
           __magic_name__						       =    pre_tok_class(**a__      )

      __magic_name__						       =    add_prefix_space



 def 			snake_case__  (   self		:   str			,				a__		:   str			,				a__		:   Optional[str] = None      ):
      __magic_name__						       =    self._tokenizer.model.save(a__			,				name=a__      )
      return tuple(a__      )



 def 			snake_case__  (   self		:   int			,				a__		:   "Conversation"      ):
      __magic_name__						       =    []
      for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(a__			,				add_special_tokens=a__      ) + [self.eos_token_id]      )

      if len(a__      ) > self.model_max_length:
           __magic_name__						       =    input_ids[-self.model_max_length :]
      return input_ids









'''simple docstring'''




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def 						UpperCamelCase	(			a		,						a		,						a		,						a=1024			)				->     Union[str, Any]:






     '''simple docstring'''
     __magic_name__       ,  __magic_name__						       =    [], []

     __magic_name__						       =    list(zip(a		,						a			)			)
     __magic_name__       ,  __magic_name__						       =    sorted_examples[0]

     def is_too_big(a			):
          return tok(a		,						return_tensors='''pt'''			).input_ids.shape[1] > max_tokens

     for src, tgt in tqdm(sorted_examples[1:]			):
          __magic_name__						       =    new_src + ''' ''' + src
          __magic_name__						       =    new_tgt + ''' ''' + tgt
          if is_too_big(a			) or is_too_big(a			):  # cant fit, finalize example
               finished_src.append(a			)
               finished_tgt.append(a			)
               __magic_name__       ,  __magic_name__						       =    src, tgt
          else:  # can fit, keep adding
               __magic_name__       ,  __magic_name__						       =    cand_src, cand_tgt

    # cleanup
     if new_src:
          assert new_tgt
          finished_src.append(a			)
          finished_tgt.append(a			)
     return finished_src, finished_tgt




def 						UpperCamelCase	(			a		,						a		,						a		,						a			)				->     Any:






     '''simple docstring'''
     __magic_name__						       =    Path(a			)
     save_path.mkdir(exist_ok=a			)
     for split in ["train"]:
          __magic_name__       ,  __magic_name__						       =    data_dir / F'''{split}.source''', data_dir / F'''{split}.target'''
          __magic_name__						       =    [x.rstrip() for x in Path(a			).open().readlines()]
          __magic_name__						       =    [x.rstrip() for x in Path(a			).open().readlines()]
          __magic_name__       ,  __magic_name__						       =    pack_examples(a		,						a		,						a		,						a			)
          print(F'''packed {split} split from {len(a			)} examples -> {len(a			)}.'''			)
          Path(save_path / F'''{split}.source'''			).open('''w'''			).write('''\n'''.join(a			)			)
          Path(save_path / F'''{split}.target'''			).open('''w'''			).write('''\n'''.join(a			)			)
     for split in ["val", "test"]:
          __magic_name__       ,  __magic_name__						       =    data_dir / F'''{split}.source''', data_dir / F'''{split}.target'''
          shutil.copyfile(a		,						save_path / F'''{split}.source'''			)
          shutil.copyfile(a		,						save_path / F'''{split}.target'''			)




def 						UpperCamelCase	(			)				->     List[str]:






     '''simple docstring'''
     __magic_name__						       =    argparse.ArgumentParser()
     parser.add_argument('''--tok_name'''		,						type=a		,						help='''like facebook/bart-large-cnn,t5-base, etc.'''			)
     parser.add_argument('''--max_seq_len'''		,						type=a		,						default=128			)
     parser.add_argument('''--data_dir'''		,						type=a			)
     parser.add_argument('''--save_path'''		,						type=a			)
     __magic_name__						       =    parser.parse_args()
     __magic_name__						       =    AutoTokenizer.from_pretrained(args.tok_name			)
     return pack_data_dir(a		,						Path(args.data_dir			)		,						args.max_seq_len		,						args.save_path			)


if __name__ == "__main__":
      packer_cli()






