old_contents: import timeit
  import time
  import numpy as np
  from skbeam.core.accumulators.histogram import Histogram
  
  h = Histogram((10, 0, 10.1), (7, 0, 7.1));
  x = np.random.random(1000000)*40
  y = np.random.random(1000000)*10
  w = np.ones_like(x)
  xi = x.astype(int)
  xi = xi.astype(float)
  wi = np.ones_like(xi)
  gg = globals()
  
  def timethis(stmt):
      return np.mean(timeit.repeat(stmt, number=10, repeat=5, globals=gg))
  
  def histfromzero(h, fncname, x, w):
      h.data[:] = 0
      getattr(h, fncname)(x, w)
      return h.data.copy()
  
  
  print("Timing h.fill",
          timethis('h.fill(x, y, weights=w)'))
  
  h._always_use_fillnd = True
  print("Timing h.fill with _always_use_fillnd",
          timethis('h.fill(x, y, weights=w)'))
  
new_contents: 
  if __name__ == "__main__":
      import timeit
      import numpy as np
      from skbeam.core.accumulators.histogram import Histogram
      h = Histogram((10, 0, 10.1), (7, 0, 7.1))
      x = np.random.random(1000000)*40
      y = np.random.random(1000000)*10
      w = np.ones_like(x)
      xi = x.astype(int)
      xi = xi.astype(float)
      wi = np.ones_like(xi)
      gg = globals()
  
      def timethis(stmt):
          return np.mean(timeit.repeat(stmt, number=10, repeat=5, globals=gg))
  
      def histfromzero(h, fncname, x, w):
          h.data[:] = 0
          getattr(h, fncname)(x, w)
          return h.data.copy()
  
      print("Timing h.fill", timethis('h.fill(x, y, weights=w)'))
  
      h._always_use_fillnd = True
      print("Timing h.fill with _always_use_fillnd",
            timethis('h.fill(x, y, weights=w)'))
  
subject: Fix flake8 errors