


def   _UpperCAmelCase       (     UpperCAmelCase      :			int      ):
      """simple docstring"""




      __lowerCamelCase     :      int       						=						0
      __lowerCamelCase     :      int       						=						len(UpperCAmelCase      )

      for i in range(n - 1      ):
            for j in range(i + 1						,	UpperCAmelCase      ):
                  if arr[i] > arr[j]:
                        num_inversions += 1

      return num_inversions





def   _UpperCAmelCase       (     UpperCAmelCase      :			Optional[Any]      ):
      """simple docstring"""




      if len(UpperCAmelCase      ) <= 1:
            return arr, 0
      __lowerCamelCase     :      Tuple       						=						len(UpperCAmelCase      ) // 2
      __lowerCamelCase     :      Dict       						=						arr[0:mid]
      __lowerCamelCase     :      Tuple       						=						arr[mid:]

      __lowerCamelCase						, __lowerCamelCase     :      int       						=						count_inversions_recursive(UpperCAmelCase      )
      __lowerCamelCase						, __lowerCamelCase     :      Any       						=						count_inversions_recursive(UpperCAmelCase      )
      __lowerCamelCase						, __lowerCamelCase     :      List[Any]       						=						_count_cross_inversions(UpperCAmelCase						,	UpperCAmelCase      )

      __lowerCamelCase     :      Dict       						=						inversion_p + inversions_q + cross_inversions
      return c, num_inversions





def   _UpperCAmelCase       (     UpperCAmelCase      :			Tuple						,	UpperCAmelCase      :			int      ):
      """simple docstring"""




      __lowerCamelCase     :      str       						=						[]
      __lowerCamelCase     :      Union[str, Any]       						=						0
      while i < len(UpperCAmelCase      ) and j < len(UpperCAmelCase      ):
            if p[i] > q[j]:
                  # if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
                  # These are all inversions. The claim emerges from the
                  # property that P is sorted.
                  num_inversion += len(UpperCAmelCase      ) - i
                  r.append(q[j]      )
                  j += 1
            else:
                  r.append(p[i]      )
                  i += 1

      if i < len(UpperCAmelCase      ):
            r.extend(p[i:]      )
      else:
            r.extend(q[j:]      )

      return r, num_inversion





def   _UpperCAmelCase       (     ):
      """simple docstring"""




      __lowerCamelCase     :      List[Any]       						=						[10, 2, 1, 5, 5, 2, 11]

      # this arr has 8 inversions:
      # (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

      __lowerCamelCase     :      Tuple       						=						count_inversions_bf(UpperCAmelCase      )
      __lowerCamelCase						, __lowerCamelCase     :      Any       						=						count_inversions_recursive(UpperCAmelCase      )

      assert num_inversions_bf == num_inversions_recursive == 8

      print("""number of inversions = """						,	UpperCAmelCase      )

      # testing an array with zero inversion (a sorted arr_1)

      arr_a.sort()
      __lowerCamelCase     :      Optional[Any]       						=						count_inversions_bf(UpperCAmelCase      )
      __lowerCamelCase						, __lowerCamelCase     :      int       						=						count_inversions_recursive(UpperCAmelCase      )

      assert num_inversions_bf == num_inversions_recursive == 0
      print("""number of inversions = """						,	UpperCAmelCase      )

      # an empty list should also have zero inversions
      __lowerCamelCase     :      Tuple       						=						[]
      __lowerCamelCase     :      str       						=						count_inversions_bf(UpperCAmelCase      )
      __lowerCamelCase						, __lowerCamelCase     :      List[Any]       						=						count_inversions_recursive(UpperCAmelCase      )

      assert num_inversions_bf == num_inversions_recursive == 0
      print("""number of inversions = """						,	UpperCAmelCase      )


if __name__ == "__main__":
    main()







import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def   _UpperCAmelCase       (     UpperCAmelCase      :			Any						,	UpperCAmelCase      :			int						,	UpperCAmelCase      :			int						,	UpperCAmelCase      :			Any=1_024      ):
      """simple docstring"""




      __lowerCamelCase						, __lowerCamelCase     :      str       						=						[], []

      __lowerCamelCase     :      Any       						=						list(zip(UpperCAmelCase						,	UpperCAmelCase      )      )
      __lowerCamelCase						, __lowerCamelCase     :      List[str]       						=						sorted_examples[0]

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

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

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





def   _UpperCAmelCase       (     UpperCAmelCase      :			Tuple						,	UpperCAmelCase      :			Path						,	UpperCAmelCase      :			Dict						,	UpperCAmelCase      :			Optional[Any]      ):
      """simple docstring"""




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





def   _UpperCAmelCase       (     ):
      """simple docstring"""




      __lowerCamelCase     :      List[Any]       						=						argparse.ArgumentParser()
      parser.add_argument("""--tok_name"""						,	type=UpperCAmelCase						,	help="""like facebook/bart-large-cnn,t5-base, etc."""      )
      parser.add_argument("""--max_seq_len"""						,	type=UpperCAmelCase						,	default=128      )
      parser.add_argument("""--data_dir"""						,	type=UpperCAmelCase      )
      parser.add_argument("""--save_path"""						,	type=UpperCAmelCase      )
      __lowerCamelCase     :      Union[str, Any]       						=						parser.parse_args()
      __lowerCamelCase     :      Tuple       						=						AutoTokenizer.from_pretrained(args.tok_name      )
      return pack_data_dir(UpperCAmelCase						,	Path(args.data_dir      )						,	args.max_seq_len						,	args.save_path      )


if __name__ == "__main__":
    packer_cli()



