

'''simple docstring'''




def 						UpperCamelCase	(			)				->     list[list[int]]:






     '''simple docstring'''
     return [list(range(1000 - i		,						-1000 - i		,						-1			)			) for i in range(1000			)]


_lowerCAmelCase         =						generate_large_matrix()
_lowerCAmelCase         =						(
    [[4, 3, 2, -1], [3, 2, 1, -1], [1, 1, -1, -2], [-1, -1, -2, -3]],
    [[3, 2], [1, 0]],
    [[7, 7, 6]],
    [[7, 7, 6], [-1, -2, -3]],
    grid,
)




def 						UpperCamelCase	(			a			)				->     None:






     '''simple docstring'''
     assert all(row == sorted(a		,						reverse=a			) for row in grid			)
     assert all(list(a			) == sorted(a		,						reverse=a			) for col in zip(*a			)			)




def 						UpperCamelCase	(			a			)				->     int:






     '''simple docstring'''
     __magic_name__						       =    0
     __magic_name__						       =    len(a			) - 1

     # Edge cases such as no values or all numbers are negative.
     if not array or array[0] < 0:
          return 0

     while right + 1 > left:
          __magic_name__						       =    (left + right) // 2
          __magic_name__						       =    array[mid]

          # Num must be negative and the index must be greater than or equal to 0.
          if num < 0 and array[mid - 1] >= 0:
               return mid

          if num >= 0:
               __magic_name__						       =    mid + 1
          else:
               __magic_name__						       =    mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
     return len(a			)




def 						UpperCamelCase	(			a			)				->     int:






     '''simple docstring'''
     __magic_name__						       =    0
     __magic_name__						       =    len(grid[0]			)

     for i in range(len(a			)			):
          __magic_name__						       =    find_negative_index(grid[i][:bound]			)
          total += bound
     return (len(a			) * len(grid[0]			)) - total




def 						UpperCamelCase	(			a			)				->     int:






     '''simple docstring'''
     return len([number for row in grid for number in row if number < 0]			)




def 						UpperCamelCase	(			a			)				->     int:






     '''simple docstring'''
     __magic_name__						       =    0
     for row in grid:
          for i, number in enumerate(a			):
               if number < 0:
                    total += len(a			) - i
                    break
     return total




def 						UpperCamelCase	(			)				->     None:






     '''simple docstring'''
     from timeit import timeit

     print('''Running benchmarks'''			)
     __magic_name__						       =    (
         '''from __main__ import count_negatives_binary_search, '''
         '''count_negatives_brute_force, count_negatives_brute_force_with_break, grid'''
     )
     for func in (
         "count_negatives_binary_search",  # took 0.7727 seconds
         "count_negatives_brute_force_with_break",  # took 4.6505 seconds
         "count_negatives_brute_force",  # took 12.8160 seconds
     ):
          __magic_name__						       =    timeit(F'''{func}(grid=grid)'''		,						setup=a		,						number=500			)
          print(F'''{func}() took {time:0.4f} seconds'''			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()









'''simple docstring'''




import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def 						UpperCamelCase	(			a		,						a		,						a		,						a=1024			)				->     Union[str, Any]:






     '''simple docstring'''
     __magic_name__       ,  __magic_name__						       =    [], []

     __magic_name__						       =    list(zip(a		,						a			)			)
     __magic_name__       ,  __magic_name__						       =    sorted_examples[0]

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

     for src, tgt in tqdm(sorted_examples[1:]			):
          __magic_name__						       =    new_src + ''' ''' + src
          __magic_name__						       =    new_tgt + ''' ''' + tgt
          if is_too_big(a			) or is_too_big(a			):  # cant fit, finalize example
               finished_src.append(a			)
               finished_tgt.append(a			)
               __magic_name__       ,  __magic_name__						       =    src, tgt
          else:  # can fit, keep adding
               __magic_name__       ,  __magic_name__						       =    cand_src, cand_tgt

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




def 						UpperCamelCase	(			a		,						a		,						a		,						a			)				->     Any:






     '''simple docstring'''
     __magic_name__						       =    Path(a			)
     save_path.mkdir(exist_ok=a			)
     for split in ["train"]:
          __magic_name__       ,  __magic_name__						       =    data_dir / F'''{split}.source''', data_dir / F'''{split}.target'''
          __magic_name__						       =    [x.rstrip() for x in Path(a			).open().readlines()]
          __magic_name__						       =    [x.rstrip() for x in Path(a			).open().readlines()]
          __magic_name__       ,  __magic_name__						       =    pack_examples(a		,						a		,						a		,						a			)
          print(F'''packed {split} split from {len(a			)} examples -> {len(a			)}.'''			)
          Path(save_path / F'''{split}.source'''			).open('''w'''			).write('''\n'''.join(a			)			)
          Path(save_path / F'''{split}.target'''			).open('''w'''			).write('''\n'''.join(a			)			)
     for split in ["val", "test"]:
          __magic_name__       ,  __magic_name__						       =    data_dir / F'''{split}.source''', data_dir / F'''{split}.target'''
          shutil.copyfile(a		,						save_path / F'''{split}.source'''			)
          shutil.copyfile(a		,						save_path / F'''{split}.target'''			)




def 						UpperCamelCase	(			)				->     List[str]:






     '''simple docstring'''
     __magic_name__						       =    argparse.ArgumentParser()
     parser.add_argument('''--tok_name'''		,						type=a		,						help='''like facebook/bart-large-cnn,t5-base, etc.'''			)
     parser.add_argument('''--max_seq_len'''		,						type=a		,						default=128			)
     parser.add_argument('''--data_dir'''		,						type=a			)
     parser.add_argument('''--save_path'''		,						type=a			)
     __magic_name__						       =    parser.parse_args()
     __magic_name__						       =    AutoTokenizer.from_pretrained(args.tok_name			)
     return pack_data_dir(a		,						Path(args.data_dir			)		,						args.max_seq_len		,						args.save_path			)


if __name__ == "__main__":
      packer_cli()






