

'''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'''




from pathlib import Path

import fire
from tqdm import tqdm




def 						UpperCamelCase	(			a="ro"		,						a="en"		,						a="wmt16"		,						a=None			)				->     None:






     '''simple docstring'''
     try:
          import datasets
     except (ModuleNotFoundError, ImportError):
          raise ImportError('''run pip install datasets'''			)
     __magic_name__						       =    F'''{src_lang}-{tgt_lang}'''
     print(F'''Converting {dataset}-{pair}'''			)
     __magic_name__						       =    datasets.load_dataset(a		,						a			)
     if save_dir is None:
          __magic_name__						       =    F'''{dataset}-{pair}'''
     __magic_name__						       =    Path(a			)
     save_dir.mkdir(exist_ok=a			)

     for split in ds.keys():
          print(F'''Splitting {split} with {ds[split].num_rows} records'''			)

          # to save to val.source, val.target like summary datasets
          __magic_name__						       =    '''val''' if split == '''validation''' else split
          __magic_name__						       =    save_dir.joinpath(F'''{fn}.source'''			)
          __magic_name__						       =    save_dir.joinpath(F'''{fn}.target'''			)
          __magic_name__						       =    src_path.open('''w+'''			)
          __magic_name__						       =    tgt_path.open('''w+'''			)

          # reader is the bottleneck so writing one record at a time doesn't slow things down
          for x in tqdm(ds[split]			):
               __magic_name__						       =    x['''translation''']
               src_fp.write(ex[src_lang] + '''\n'''			)
               tgt_fp.write(ex[tgt_lang] + '''\n'''			)

     print(F'''Saved {dataset} dataset to {save_dir}'''			)


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






