





import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin



@require_jieba
class   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ,				unittest.TestCase       ):







 '''simple docstring'''
 lowercase_						=     CpmAntTokenizer
 lowercase_						=     False

 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[int])			->List[str]:



   '''simple docstring'''



   super().setUp()

   lowerCamelCase__: Optional[int]         =[
       "<d>",
       "</d>",
       "<s>",
       "</s>",
       "</_>",
       "<unk>",
       "<pad>",
       "</n>",
       "我",
       "是",
       "C",
       "P",
       "M",
       "A",
       "n",
       "t",
   ]
   lowerCamelCase__: Any         =os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES["vocab_file"])
   with open(self.vocab_file			,					"w"			,					encoding="utf-8") as vocab_writer:
     vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))







 @tooslow
 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[int])			->Optional[int]:



   '''simple docstring'''



   lowerCamelCase__: List[Any]         =CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b")
   lowerCamelCase__: Union[str, Any]         ="今天天气真好！"
   lowerCamelCase__: int         =["今天", "天气", "真", "好", "！"]
   lowerCamelCase__: List[str]         =tokenizer.tokenize(UpperCAmelCase_)
   self.assertListEqual(UpperCAmelCase_			,					UpperCAmelCase_)
   lowerCamelCase__: Dict         ="今天天气真好！"
   lowerCamelCase__: str         =[tokenizer.bos_token] + tokens

   lowerCamelCase__: Union[str, Any]         =[6, 9_802, 14_962, 2_082, 831, 244]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_)			,					UpperCAmelCase_)

   lowerCamelCase__: Tuple         =tokenizer.decode(UpperCAmelCase_)
   self.assertEqual(UpperCAmelCase_			,					UpperCAmelCase_)








import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer






def 				_UpperCAmelCase			(    A				,							A				,							A				,							A=1024     ):




   '''simple docstring'''

   UpperCAmelCase__			,							UpperCAmelCase__						=[], []

   UpperCAmelCase__						=list(zip(A				,							A     )     )
   UpperCAmelCase__			,							UpperCAmelCase__						=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:]     ):
      UpperCAmelCase__						=new_src + " " + src
      UpperCAmelCase__						=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     )
         UpperCAmelCase__			,							UpperCAmelCase__						=src, tgt
      else:  # can fit, keep adding
         UpperCAmelCase__			,							UpperCAmelCase__						=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     ):




   '''simple docstring'''

   UpperCAmelCase__						=Path(A     )
   save_path.mkdir(exist_ok=A     )
   for split in ["train"]:
      UpperCAmelCase__			,							UpperCAmelCase__						=data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
      UpperCAmelCase__						=[x.rstrip() for x in Path(A     ).open().readlines()]
      UpperCAmelCase__						=[x.rstrip() for x in Path(A     ).open().readlines()]
      UpperCAmelCase__			,							UpperCAmelCase__						=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"]:
      UpperCAmelCase__			,							UpperCAmelCase__						=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			(    ):




   '''simple docstring'''

   UpperCAmelCase__						=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     )
   UpperCAmelCase__						=parser.parse_args()
   UpperCAmelCase__						=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()



