





"""simple docstring"""

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

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save



def        __a							(			A ,	A ,	A=1_024 ,	A=1_024 ,	A=False ,	**A )       ->						str:



   '''simple docstring'''



   A__											=					AutoTokenizer.from_pretrained(A )
   A__											=					SeqaSeqDataset(A ,	A ,	A ,	A ,	type_path="train" ,	**A )
   A__											=					tok.pad_token_id

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

   A__											=					get_lens(A )
   A__											=					SeqaSeqDataset(A ,	A ,	A ,	A ,	type_path="val" ,	**A )
   A__											=					get_lens(A )
   pickle_save(A ,	train_ds.len_file )
   pickle_save(A ,	val_ds.len_file )


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


'''simple docstring'''





import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
UpperCamelCase_    						=       object()

# For specifying empty leaf dict `{}`
UpperCamelCase_    						=       object()






def 				_lowerCAmelCase			(   __magic_name__						:     int   , __magic_name__						:     int						)				->  Optional[int]:
						lowercase :							Optional[Any]    		=tuple((re.compile(x + '''$'''						) for x in qs)						)
						for i in range(len(__magic_name__						) - len(__magic_name__						) + 1						):
												lowercase :							Union[str, Any]    		=[x.match(__magic_name__						) for x, y in zip(__magic_name__   , ks[i:]						)]
												if matches and all(__magic_name__						):
																		return True
						return False






def 				_lowerCAmelCase			(   __magic_name__						:     Dict						)				->  List[str]:
						def replace(__magic_name__						:     Optional[int]   , __magic_name__						:     Optional[Any]						):
												for rule, replacement in rules:
																		if _match(__magic_name__   , __magic_name__						):
																								return replacement
												return val

						return replace






def 				_lowerCAmelCase			(   )				->  int:
						return [
						    # embeddings
						    (("transformer", "wpe", "embedding"), P('''mp'''   , __magic_name__						)),
						    (("transformer", "wte", "embedding"), P('''mp'''   , __magic_name__						)),
						    # atention
						    (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(__magic_name__   , '''mp'''						)),
						    (("attention", "out_proj", "kernel"), P('''mp'''   , __magic_name__						)),
						    (("attention", "out_proj", "bias"), None),
						    # mlp
						    (("mlp", "c_fc", "kernel"), P(__magic_name__   , '''mp'''						)),
						    (("mlp", "c_fc", "bias"), P('''mp'''						)),
						    (("mlp", "c_proj", "kernel"), P('''mp'''   , __magic_name__						)),
						    (("mlp", "c_proj", "bias"), None),
						    # layer norms
						    ((r"ln_\d+", "bias"), None),
						    ((r"\d+", r"ln_\d+", "scale"), None),
						    (("ln_f", "bias"), None),
						    (("ln_f", "scale"), None),
						]







def 				_lowerCAmelCase			(   __magic_name__						:     str						)				->  int:
						lowercase :							int    		=_get_partition_rules()
						lowercase :							Tuple    		=_replacement_rules(__magic_name__						)
						lowercase :							Any    		={k: _unmatched for k in flatten_dict(__magic_name__						)}
						lowercase :							Any    		={k: replace(__magic_name__   , __magic_name__						) for k, v in initd.items()}
						assert _unmatched not in result.values(), "Incomplete partition spec."
						return freeze(unflatten_dict(__magic_name__						)						)





