"""simple docstring"""




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	str      ,_lowerCamelCase						:	Union[str, Any]      ,_lowerCamelCase						:	Tuple      ,_lowerCamelCase						:	List[Any]=1024     )	->				Dict:
  _lowerCAmelCase      ,     _lowerCAmelCase						:	Optional[Any]        =					[], []

  _lowerCAmelCase						:	int        =					list(zip(_lowerCamelCase      ,_lowerCamelCase     )     )
  _lowerCAmelCase      ,     _lowerCAmelCase						:	Union[str, Any]        =					sorted_examples[0]

  def is_too_big(_lowerCamelCase						:	Optional[Any]     ):
    return tok(_lowerCamelCase      ,return_tensors="""pt"""     ).input_ids.shape[1] > max_tokens

  for src, tgt in tqdm(sorted_examples[1:]     ):
    _lowerCAmelCase						:	Any        =					new_src + """ """ + src
    _lowerCAmelCase						:	int        =					new_tgt + """ """ + tgt
    if is_too_big(_lowerCamelCase     ) or is_too_big(_lowerCamelCase     ):  # cant fit, finalize example
      finished_src.append(_lowerCamelCase     )
      finished_tgt.append(_lowerCamelCase     )
      _lowerCAmelCase      ,     _lowerCAmelCase						:	List[str]        =					src, tgt
    else:  # can fit, keep adding
      _lowerCAmelCase      ,     _lowerCAmelCase						:	List[Any]        =					cand_src, cand_tgt

    # cleanup
  if new_src:
    assert new_tgt
    finished_src.append(_lowerCamelCase     )
    finished_tgt.append(_lowerCamelCase     )
  return finished_src, finished_tgt





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





def 							SCREAMING_SNAKE_CASE					(      )	->				Any:
  _lowerCAmelCase						:	Optional[int]        =					argparse.ArgumentParser()
  parser.add_argument("""--tok_name"""      ,type=_lowerCamelCase      ,help="""like facebook/bart-large-cnn,t5-base, etc."""     )
  parser.add_argument("""--max_seq_len"""      ,type=_lowerCamelCase      ,default=128     )
  parser.add_argument("""--data_dir"""      ,type=_lowerCamelCase     )
  parser.add_argument("""--save_path"""      ,type=_lowerCamelCase     )
  _lowerCAmelCase						:	Dict        =					parser.parse_args()
  _lowerCAmelCase						:	Dict        =					AutoTokenizer.from_pretrained(args.tok_name     )
  return pack_data_dir(_lowerCamelCase      ,Path(args.data_dir     )      ,args.max_seq_len      ,args.save_path     )


if __name__ == "__main__":
     packer_cli()





"""simple docstring"""




from manim import *
class 						__A							(			SCREAMING_SNAKE_CASE_		):






     def    __A  (		self  ):
       _lowerCAmelCase						:	Any        =					Rectangle(height=0.5    ,					width=0.5  )
       _lowerCAmelCase						:	List[Any]        =					Rectangle(height=0.4_6    ,					width=0.4_6  ).set_stroke(width=0  )

       _lowerCAmelCase						:	List[str]        =					[mem.copy() for i in range(6  )]
       _lowerCAmelCase						:	Any        =					[mem.copy() for i in range(6  )]
       _lowerCAmelCase						:	Optional[int]        =					VGroup(*a__  ).arrange(a__    ,					buff=0  )
       _lowerCAmelCase						:	Tuple        =					VGroup(*a__  ).arrange(a__    ,					buff=0  )
       _lowerCAmelCase						:	Optional[Any]        =					VGroup(a__    ,					a__  ).arrange(a__    ,					buff=0  )
       _lowerCAmelCase						:	Dict        =					Text("""CPU"""    ,					font_size=24  )
       _lowerCAmelCase						:	str        =					Group(a__    ,					a__  ).arrange(a__    ,					buff=0.5    ,					aligned_edge=a__  )
       cpu.move_to([-2.5, -0.5, 0]  )
       self.add(a__  )

       _lowerCAmelCase						:	Dict        =					[mem.copy() for i in range(4  )]
       _lowerCAmelCase						:	Any        =					VGroup(*a__  ).arrange(a__    ,					buff=0  )
       _lowerCAmelCase						:	Tuple        =					Text("""GPU"""    ,					font_size=24  )
       _lowerCAmelCase						:	Optional[int]        =					Group(a__    ,					a__  ).arrange(a__    ,					buff=0.5    ,					aligned_edge=a__  )
       gpu.move_to([-1, -1, 0]  )
       self.add(a__  )

       _lowerCAmelCase						:	Optional[int]        =					[mem.copy() for i in range(6  )]
       _lowerCAmelCase						:	Any        =					VGroup(*a__  ).arrange(a__    ,					buff=0  )

       _lowerCAmelCase						:	List[str]        =					Text("""Model"""    ,					font_size=24  )
       _lowerCAmelCase						:	Any        =					Group(a__    ,					a__  ).arrange(a__    ,					buff=0.5    ,					aligned_edge=a__  )
       model.move_to([3, -1.0, 0]  )
       self.add(a__  )

       _lowerCAmelCase						:	Tuple        =					[]
       for i, rect in enumerate(a__  ):
         rect.set_stroke(a__  )
         # target = fill.copy().set_fill(YELLOW, opacity=0.7)
         # target.move_to(rect)
         # self.add(target)

         _lowerCAmelCase						:	List[str]        =					Rectangle(height=0.4_6 / 4    ,					width=0.4_6 / 3  ).set_stroke(width=0.0  ).set_fill(a__    ,					opacity=0.7  )

         if i == 0:
           cpu_target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT  )    ,					buff=0.0_2    ,					direction=a__  )
           cpu_target.set_x(cpu_target.get_x() + 0.1  )
         elif i == 3:
           cpu_target.next_to(cpu_targs[0]    ,					direction=a__    ,					buff=0.0  )
         else:
           cpu_target.next_to(cpu_targs[i - 1]    ,					direction=a__    ,					buff=0.0  )
         self.add(a__  )
         cpu_targs.append(a__  )

       _lowerCAmelCase						:	Any        =					[mem.copy() for i in range(6  )]
       _lowerCAmelCase						:	List[str]        =					VGroup(*a__  ).arrange(a__    ,					buff=0  )

       _lowerCAmelCase						:	int        =					Text("""Loaded Checkpoint"""    ,					font_size=24  )
       _lowerCAmelCase						:	Optional[int]        =					Group(a__    ,					a__  ).arrange(a__    ,					aligned_edge=a__    ,					buff=0.4  )
       checkpoint.move_to([3, 0.5, 0]  )

       _lowerCAmelCase						:	List[Any]        =					Square(side_length=2.2  )
       key.move_to([-5, 2, 0]  )

       _lowerCAmelCase						:	List[str]        =					MarkupText(
           F"<b>Key:</b>\n\n<span fgcolor='{YELLOW}'>●</span> Empty Model"    ,					font_size=18    ,					)

       key_text.move_to([-5, 2.4, 0]  )

       self.add(a__    ,					a__  )

       _lowerCAmelCase						:	int        =					MarkupText(
           F"<span fgcolor='{BLUE}'>●</span> Checkpoint"    ,					font_size=18    ,					)

       blue_text.next_to(a__    ,					DOWN * 2.4    ,					aligned_edge=key_text.get_left()  )

       _lowerCAmelCase						:	List[Any]        =					MarkupText(
           F"Next, a <i><span fgcolor=\"{BLUE}\">second</span></i> model is loaded into memory,\nwith the weights of a <span fgcolor=\"{BLUE}\">single shard</span>."    ,					font_size=24    ,					)
       step_a.move_to([2, 2, 0]  )
       self.play(Write(a__  )    ,					Write(a__  )  )

       self.play(Write(a__    ,					run_time=1  )    ,					Create(a__    ,					run_time=1  )  )

       _lowerCAmelCase						:	int        =					[]
       _lowerCAmelCase						:	List[Any]        =					[]
       for i, rect in enumerate(a__  ):
         _lowerCAmelCase						:	Tuple        =					fill.copy().set_fill(a__    ,					opacity=0.7  )
         target.move_to(a__  )
         first_animations.append(GrowFromCenter(a__    ,					run_time=1  )  )

         _lowerCAmelCase						:	Optional[Any]        =					target.copy()
         cpu_target.generate_target()
         if i < 5:
           cpu_target.target.move_to(cpu_left_col_base[i + 1]  )
         else:
           cpu_target.target.move_to(cpu_right_col_base[i - 5]  )
         second_animations.append(MoveToTarget(a__    ,					run_time=1.5  )  )

       self.play(*a__  )
       self.play(*a__  )
       self.wait()




