




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def  SCREAMING_SNAKE_CASE     (	__UpperCamelCase      :						str	,					__UpperCamelCase      :						Optional[int]	,					__UpperCamelCase      :						int	,					__UpperCamelCase      :						Tuple=1024				)  ->							str:
    UpperCAmelCase_			,							UpperCAmelCase_										=					[], []

    UpperCAmelCase_										=					list(zip(__UpperCamelCase	,					__UpperCamelCase				)				)
    UpperCAmelCase_			,							UpperCAmelCase_										=					sorted_examples[0]

    def is_too_big(__UpperCamelCase      :						int				):
        return tok(__UpperCamelCase	,					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(__UpperCamelCase				) or is_too_big(__UpperCamelCase				):  # cant fit, finalize example
            finished_src.append(__UpperCamelCase				)
            finished_tgt.append(__UpperCamelCase				)
            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(__UpperCamelCase				)
        finished_tgt.append(__UpperCamelCase				)
    return finished_src, finished_tgt




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




def  SCREAMING_SNAKE_CASE     (	)  ->							Dict:
    UpperCAmelCase_										=					argparse.ArgumentParser()
    parser.add_argument('''--tok_name'''	,					type=__UpperCamelCase	,					help='''like facebook/bart-large-cnn,t5-base, etc.'''				)
    parser.add_argument('''--max_seq_len'''	,					type=__UpperCamelCase	,					default=128				)
    parser.add_argument('''--data_dir'''	,					type=__UpperCamelCase				)
    parser.add_argument('''--save_path'''	,					type=__UpperCamelCase				)
    UpperCAmelCase_										=					parser.parse_args()
    UpperCAmelCase_										=					AutoTokenizer.from_pretrained(args.tok_name				)
    return pack_data_dir(__UpperCamelCase	,					Path(args.data_dir				)	,					args.max_seq_len	,					args.save_path				)


if __name__ == "__main__":
 packer_cli()











import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
_lowerCamelCase      			=						logging.getLogger(__name__)

if __name__ == "__main__":
 _lowerCamelCase      			=						argparse.ArgumentParser(
     description='Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'
 )
 parser.add_argument(
     '--data_file', type=str, default='data/dump.bert-base-uncased.pickle', help='The binarized dataset.'
 )
 parser.add_argument(
     '--token_counts_dump', type=str, default='data/token_counts.bert-base-uncased.pickle', help='The dump file.'
 )
 parser.add_argument('--vocab_size', default=3_05_22, type=int)
 _lowerCamelCase      			=						parser.parse_args()

 logger.info(F"Loading data from {args.data_file}")
 with open(args.data_file, 'rb') as fp:
  _lowerCamelCase      			=						pickle.load(fp)

 logger.info('Counting occurrences for MLM.')
 _lowerCamelCase      			=						Counter()
 for tk_ids in data:
  counter.update(tk_ids)
 _lowerCamelCase      			=						[0] * args.vocab_size
 for k, v in counter.items():
  _lowerCamelCase      			=						v

 logger.info(F"Dump to {args.token_counts_dump}")
 with open(args.token_counts_dump, 'wb') as handle:
  pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)





