import time
import matplotlib.pyplot as plt

NOW_NS = int(time.time()) * 10 ** 9
THEN_NS = NOW_NS + 10000

fig, (plt1, plt2) = plt.subplots(2)
fig.canvas.set_window_title("Comparing division errors over 10 us")

# Nanoseconds

xs = range(NOW_NS, THEN_NS + 1)
y1 = [int(x / 10**9 * 10**9) - x for x in xs]
y2 = [int(x / 1e9 * 1e9) - x for x in xs]
y3 = [abs(a) - abs(b) for a, b in zip(y1, y2)]

plt1.set_title('Errors in nanoseconds')
plt1.plot(y1, drawstyle='steps-mid', color="red", label="Errors with '/ 10**9'")
plt1.plot(y2, drawstyle='steps-mid', color="blue", label="Errors with '/ 1e9'")
plt1.plot(y3, drawstyle='steps-mid', color="green", label="Comparing absolute errors")
plt1.legend(loc="upper right")


# Hundreds of nanoseconds

xs = range(NOW_NS // 100, (THEN_NS // 100) + 1)
y1 = [int(x / 10**7 * 10**7) - x for x in xs]
y2 = [int(x / 1e7 * 1e7) - x for x in xs]
y3 = [abs(a) - abs(b) for a, b in zip(y1, y2)]

plt2.set_title('Errors in hundreds of nanoseconds')
plt2.plot(y1, drawstyle='steps-mid', color="red", label="Errors with '/ 10**7'")
plt2.plot(y2, drawstyle='steps-mid', color="blue", label="Errors with '/ 1e7'")
plt2.plot(y3, drawstyle='steps-mid', color="green", label="Comparing absolute errors")
plt2.legend()

plt.show()


# r = 1580301619906185900
# print("Ref   :", r)
# print("10**7 :", int(r // 100 / 10**7 * 10 ** 7) * 100)
# print("1e7   :", int(r // 100 / 1e7 * 10 ** 7) * 100)
# print("10**9 :", int(r / 10**9 * 10**9))
# print("1e9   :", int(r / 1e9 * 10**9))