





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase=1024 )			->     int:
    lowerCamelCase__ ,							lowerCamelCase__    :      List[str]					 =		[], []

    lowerCamelCase__    :      Any					 =		list(zip(_UpperCAmelCase						,	_UpperCAmelCase ) )
    lowerCamelCase__ ,							lowerCamelCase__    :      Tuple					 =		sorted_examples[0]

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

    for src, tgt in tqdm(sorted_examples[1:] ):
        lowerCamelCase__    :      Dict					 =		new_src + ' ' + src
        lowerCamelCase__    :      Any					 =		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 )
            lowerCamelCase__ ,							lowerCamelCase__    :      Tuple					 =		src, tgt
        else:  # can fit, keep adding
            lowerCamelCase__ ,							lowerCamelCase__    :      Any					 =		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						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase )			->     Tuple:
    lowerCamelCase__    :      str					 =		Path(_UpperCAmelCase )
    save_path.mkdir(exist_ok=_UpperCAmelCase )
    for split in ["train"]:
        lowerCamelCase__ ,							lowerCamelCase__    :      Optional[Any]					 =		data_dir / F"""{split}.source""", data_dir / F"""{split}.target"""
        lowerCamelCase__    :      Optional[Any]					 =		[x.rstrip() for x in Path(_UpperCAmelCase ).open().readlines()]
        lowerCamelCase__    :      int					 =		[x.rstrip() for x in Path(_UpperCAmelCase ).open().readlines()]
        lowerCamelCase__ ,							lowerCamelCase__    :      Dict					 =		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"]:
        lowerCamelCase__ ,							lowerCamelCase__    :      Optional[Any]					 =		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:
    lowerCamelCase__    :      Tuple					 =		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 )
    lowerCamelCase__    :      List[str]					 =		parser.parse_args()
    lowerCamelCase__    :      List[Any]					 =		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()












def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     set:
    lowerCamelCase__    :      Optional[Any]					 =		set()
    # edges = list of graph's edges
    lowerCamelCase__    :      List[str]					 =		get_edges(_UpperCAmelCase )

    # While there are still elements in edges list, take an arbitrary edge
    # (from_node, to_node) and add his extremity to chosen_vertices and then
    # remove all arcs adjacent to the from_node and to_node
    while edges:
        lowerCamelCase__ ,							lowerCamelCase__    :      str					 =		edges.pop()
        chosen_vertices.add(_UpperCAmelCase )
        chosen_vertices.add(_UpperCAmelCase )
        for edge in edges.copy():
            if from_node in edge or to_node in edge:
                edges.discard(_UpperCAmelCase )
    return chosen_vertices


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     set:
    lowerCamelCase__    :      Union[str, Any]					 =		set()
    for from_node, to_nodes in graph.items():
        for to_node in to_nodes:
            edges.add((from_node, to_node) )
    return edges


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    # graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
    # print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")





