libevent-hashsocket.py

#!/usr/bin/env python3

import matplotlib.pyplot as plt


def hashsocket_1(fd):
    return fd


def hashsocket_2(fd):
    h = fd & 0xffffffff
    h += (h >> 2) & 0xffffffff | (h << 30) & 0xffffffff
    return h


def hashsocket_3(fd):
    h = fd & 0xffffffff
    h = (h >> 2) & 0xffffffff | (h << 30) & 0xffffffff
    return h


n1_values = []
n2_values = []
n3_values = []

prime = 49157
for s in range(0, int(prime*1.2), 4):
    h1 = hashsocket_1(s)
    h2 = hashsocket_2(s)
    h3 = hashsocket_3(s)

    n1 = h1 % prime
    n2 = h2 % prime
    n3 = h3 % prime

    n1_values.append(n1)
    n2_values.append(n2)
    n3_values.append(n3)

# Set up subplots for a clear comparison
fig, axes = plt.subplots(3, 1, figsize=(10, 12))

# Plot n1 distribution
axes[0].hist(n1_values, bins=100, color="skyblue", edgecolor="black")
axes[0].set_title("fd % prime")
axes[0].set_xlabel("Value")
axes[0].set_ylabel("Frequency")

# Plot n2 distribution
axes[1].hist(n2_values, bins=100, color="salmon", edgecolor="black")
axes[1].set_title("hashsocket orig % prime")
axes[1].set_xlabel("Value")
axes[1].set_ylabel("Frequency")

# Plot n3 distribution
axes[2].hist(n3_values, bins=100, color="lightgreen", edgecolor="black")
axes[2].set_title("hashsocket patched % prime")
axes[2].set_xlabel("Value")
axes[2].set_ylabel("Frequency")

# Adjust layout and show plot
plt.tight_layout()
plt.show()