new_contents: from .common import Benchmark, TYPES1
  
  import numpy as np
  
  
  class ScalarMath(Benchmark):
      # Test scalar math, note that each of these is run repeatedly to offset
      # the function call overhead to some degree.
      params = [TYPES1]
      param_names = ["type"]
      def setup(self, typename):
          self.num = np.dtype(typename).type(2)
  
      def time_addition(self, typename):
          n = self.num
          res = n + n + n + n + n + n + n + n + n + n
  
      def time_addition_pyint(self, typename):
          n = self.num
          res = n + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1
  
      def time_multiplication(self, typename):
          n = self.num
          res = n * n * n * n * n * n * n * n * n * n
  
      def time_power_of_two(self, typename):
          n = self.num
          res = n**2, n**2, n**2, n**2, n**2, n**2, n**2, n**2, n**2, n**2
  
      def time_abs(self, typename):
          n = self.num
          res = abs(abs(abs(abs(abs(abs(abs(abs(abs(abs(n))))))))))
  
  
subject: Add simple scalar math benchmarks