


from ..utils import DummyObject, requires_backends
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     List[str]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       List[Any]     ,							*SCREAMING_SNAKE_CASE__				:       Union[str, Any]     ,							**SCREAMING_SNAKE_CASE__				:       Tuple     )		->			Union[str, Any]:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Union[str, Any]     )		->			Union[str, Any]:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       str     ,							*SCREAMING_SNAKE_CASE__				:       int     ,							**SCREAMING_SNAKE_CASE__				:       str     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Union[str, Any]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       str     ,							*SCREAMING_SNAKE_CASE__				:       str     ,							**SCREAMING_SNAKE_CASE__				:       Any     )		->			Optional[int]:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[Any]     ,							*SCREAMING_SNAKE_CASE__				:       Tuple     ,							**SCREAMING_SNAKE_CASE__				:       List[Any]     )		->			Tuple:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[Any]     ,							*SCREAMING_SNAKE_CASE__				:       str     ,							**SCREAMING_SNAKE_CASE__				:       List[str]     )		->			Tuple:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Union[str, Any]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       Dict     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Any     )		->			Tuple:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Tuple     ,							*SCREAMING_SNAKE_CASE__				:       Optional[int]     ,							**SCREAMING_SNAKE_CASE__				:       Union[str, Any]     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       int     ,							*SCREAMING_SNAKE_CASE__				:       List[str]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			List[Any]:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Tuple        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       List[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			Dict:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       int     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[Any]     )		->			int:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Dict     ,							*SCREAMING_SNAKE_CASE__				:       int     ,							**SCREAMING_SNAKE_CASE__				:       Optional[Any]     )		->			Union[str, Any]:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     str        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       Union[str, Any]     ,							*SCREAMING_SNAKE_CASE__				:       int     ,							**SCREAMING_SNAKE_CASE__				:       Optional[int]     )		->			str:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Optional[Any]     ,							*SCREAMING_SNAKE_CASE__				:       List[str]     ,							**SCREAMING_SNAKE_CASE__				:       Dict     )		->			int:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Optional[Any]     ,							*SCREAMING_SNAKE_CASE__				:       Any     ,							**SCREAMING_SNAKE_CASE__				:       Any     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )
class  SCREAMING_SNAKE_CASE__  (				metaclass=lowercase__			):
      snake_case__				:     Union[str, Any]        =						['''torch''', '''transformers''', '''onnx''']
      def __init__(       self				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       Tuple     ,							**SCREAMING_SNAKE_CASE__				:       Tuple     )		->			List[Any]:
             requires_backends(self     ,							['torch', 'transformers', 'onnx']     )
      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       Tuple     ,							*SCREAMING_SNAKE_CASE__				:       List[str]     ,							**SCREAMING_SNAKE_CASE__				:       Optional[Any]     )		->			Any:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )

      @classmethod
      def        SCREAMING_SNAKE_CASE							(       cls				:       List[str]     ,							*SCREAMING_SNAKE_CASE__				:       Optional[Any]     ,							**SCREAMING_SNAKE_CASE__				:       Tuple     )		->			Dict:
             requires_backends(cls     ,							['torch', 'transformers', 'onnx']     )









'''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  _lowerCamelCase				( lowercase						:      Union[str, Any]    ,							lowercase						:      int    ,							lowercase						:      int=1024    ,							lowercase						:      int=1024    ,							lowercase						:      Tuple=False    ,							**lowercase						:      Optional[int]						)	->	Union[str, Any]:
				_a								= AutoTokenizer.from_pretrained(lowercase						)
				_a								= SeqaSeqDataset(lowercase    ,							lowercase    ,							lowercase    ,							lowercase    ,							type_path="train"    ,							**lowercase						)
				_a								= tok.pad_token_id

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

				_a								= get_lens(lowercase						)
				_a								= SeqaSeqDataset(lowercase    ,							lowercase    ,							lowercase    ,							lowercase    ,							type_path="val"    ,							**lowercase						)
				_a								= get_lens(lowercase						)
				pickle_save(lowercase    ,							train_ds.len_file						)
				pickle_save(lowercase    ,							val_ds.len_file						)


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