code: def get_distbins(start=100, bins=2500, ratio=1.01):
      
      b = np.ones(bins, dtype="float64")
      b[0] = 100
      for i in range(1, bins):
          b[i] = b[i - 1] * ratio
      bins = np.around(b).astype(dtype="int")
      binsizes = np.diff(bins)
      return bins, binsizes
docs: Get exponentially sized