input: Write a python function to find the minimum of a scalar function using SciPy's optimize.minimize_scalar method.
  assert abs(find_minimum_scalar_function(np.sin, -5, 5) + 0.90898) < 1e-5
  assert abs(find_minimum_scalar_function(np.cos, -5, 5) - 3.14159) < 1e-5
  assert abs(find_minimum_scalar_function(lambda x: (x-2)**2, -5, 5) - 2) < 1e-5
output: import numpy as np
  from scipy.optimize import minimize_scalar
  
  def find_minimum_scalar_function(func, a, b):
      result = minimize_scalar(func, bounds=(a, b), method='bounded')
      return result.x