



'''simple docstring'''





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def        lowerCamelCase  (				_snake_case  :						List[Any]     ,_snake_case  :						Tuple     ,_snake_case  :						Tuple     ,_snake_case  :						int=1_024       ):





    '''simple docstring'''


    lowercase__       ,       lowercase__		       =						[], []

    lowercase__		       =						list(zip(_snake_case     ,_snake_case       )       )
    lowercase__       ,       lowercase__		       =						sorted_examples[0]

    def is_too_big(_snake_case  :						Optional[int]       ):
        return tok(_snake_case     ,return_tensors="pt"       ).input_ids.shape[1] > max_tokens

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

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




def        lowerCamelCase  (				_snake_case  :						List[Any]     ,_snake_case  :						Path     ,_snake_case  :						List[str]     ,_snake_case  :						Optional[int]       ):





    '''simple docstring'''


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




def        lowerCamelCase  (				):





    '''simple docstring'''


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


if __name__ == "__main__":
 packer_cli()









'''simple docstring'''





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


class 				snake_case (unittest.TestCase		,      UpperCamelCase   ):



       def 							_a      (				self      )  ->							List[str]:
           lowercase__		       =						load_tool("text-classification"      )
           self.tool.setup()
           lowercase__		       =						load_tool("text-classification"     ,remote=UpperCAmelCase_      )



       def 							_a      (				self      )  ->							Any:
           lowercase__		       =						self.tool("That's quite cool"     ,["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )



       def 							_a      (				self      )  ->							Optional[int]:
           lowercase__		       =						self.remote_tool("That's quite cool"     ,["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )



       def 							_a      (				self      )  ->							List[Any]:
           lowercase__		       =						self.tool(text="That's quite cool"     ,labels=["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )







       def 							_a      (				self      )  ->							List[Any]:
           lowercase__		       =						self.remote_tool(text="That's quite cool"     ,labels=["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )




