
import fire
from torch.utils.data import DataLoader
from tqdm import tqdm

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE=1024 ,							__SCREAMING_SNAKE_CASE=1024 ,							__SCREAMING_SNAKE_CASE=False ,							**__SCREAMING_SNAKE_CASE							):
	lowercase       =    AutoTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE							)
	lowercase       =    SeqaSeqDataset(__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							type_path='train' ,							**__SCREAMING_SNAKE_CASE							)
	lowercase       =    tok.pad_token_id

	def get_lens(__SCREAMING_SNAKE_CASE							):
		lowercase       =    tqdm(
		    DataLoader(__SCREAMING_SNAKE_CASE ,							batch_size=512 ,							num_workers=8 ,							shuffle=__SCREAMING_SNAKE_CASE ,							collate_fn=ds.collate_fn							) ,							desc=str(ds.len_file							) ,							)
		lowercase       =    []
		for batch in dl:
			lowercase       =    batch['input_ids'].ne(__SCREAMING_SNAKE_CASE							).sum(1							).tolist()
			lowercase       =    batch['labels'].ne(__SCREAMING_SNAKE_CASE							).sum(1							).tolist()
			if consider_target:
				for src, tgt in zip(__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE							):
					max_lens.append(max(__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE							)							)
			else:
				max_lens.extend(__SCREAMING_SNAKE_CASE							)
		return max_lens

	lowercase       =    get_lens(__SCREAMING_SNAKE_CASE							)
	lowercase       =    SeqaSeqDataset(__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							type_path='val' ,							**__SCREAMING_SNAKE_CASE							)
	lowercase       =    get_lens(__SCREAMING_SNAKE_CASE							)
	pickle_save(__SCREAMING_SNAKE_CASE ,							train_ds.len_file							)
	pickle_save(__SCREAMING_SNAKE_CASE ,							val_ds.len_file							)


if __name__ == "__main__":
	fire.Fire(save_len_file)



def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE							):
	if not isinstance(__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE							):
		raise TypeError('Input value must be an \'int\' type'							)

	lowercase       =    0
	while number:
		position += 1
		number >>= 1

	return position


if __name__ == "__main__":
	import doctest

	doctest.testmod()

