import numpy as np


def create_k_steps(k_span, steps):
    """
    A function that returns a k_span gradient span with odd and even gradient steps
    """
    k_steps = np.array(range(steps + 1))

    if (np.mod(steps, 2) == 0):
        k_steps = (k_steps - steps / 2) / (steps / 2)
    else:
        k_steps = (k_steps - (steps + 1) / 2) / (steps / 2)

    k_steps = np.flip(k_steps, 0)
    k_steps = np.delete(k_steps, -1)
    return k_steps * k_span * 0.5