

'''simple docstring'''
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
    from transformers import AutoModelForSeqaSeqLM, AutoTokenizer


@require_torch
@require_sentencepiece
@require_tokenizers
class        a__  (							unittest.TestCase  ):


   @slow
   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"      ,    return_dict=_UpperCamelCase  ).to(_UpperCamelCase  )
      _lowercase      :				Optional[int]      					=       AutoTokenizer.from_pretrained("google/mt5-small"  )

      _lowercase      :				Optional[Any]      					=       tokenizer("Hello there"      ,    return_tensors="pt"  ).input_ids
      _lowercase      :				Tuple      					=       tokenizer("Hi I am"      ,    return_tensors="pt"  ).input_ids

      _lowercase      :				Dict      					=       model(input_ids.to(_UpperCamelCase  )      ,    labels=labels.to(_UpperCamelCase  )  ).loss
      _lowercase      :				List[str]      					=       -(labels.shape[-1] * loss.item())

      _lowercase      :				Any      					=       -8_4.9_1_2_7
      self.assertTrue(abs(mtf_score - EXPECTED_SCORE  ) < 1E-4  )









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







def  _A		(     snake_case					)      ->     int:
   if number < 0:
      raise ValueError("the value of input must not be negative"					)
   _lowercase      :				Union[str, Any]      					=       0
   while number:
      number &= number - 1
      result += 1
   return result







def  _A		(     snake_case					)      ->     int:
   if number < 0:
      raise ValueError("the value of input must not be negative"					)
   _lowercase      :				int      					=       0
   while number:
      if number % 2 == 1:
         result += 1
      number >>= 1
   return result







def  _A		(     )      ->     None:

   def do_benchmark(snake_case					) -> None:
      _lowercase      :				Optional[int]      					=       "import __main__ as z"
      print(F'''Benchmark when {number = }:'''					)
      print(F'''{get_set_bits_count_using_modulo_operator(snake_case					) = }'''					)
      _lowercase      :				int      					=       timeit("z.get_set_bits_count_using_modulo_operator(25)"		,							setup=snake_case					)
      print(F'''timeit() runs in {timing} seconds'''					)
      print(F'''{get_set_bits_count_using_brian_kernighans_algorithm(snake_case					) = }'''					)
      _lowercase      :				Optional[int]      					=       timeit(
          "z.get_set_bits_count_using_brian_kernighans_algorithm(25)"		,							setup=snake_case		,							)
      print(F'''timeit() runs in {timing} seconds'''					)

   for number in (25, 37, 58, 0):
      do_benchmark(snake_case					)
      print()


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    benchmark()






