From 16d16c7559682c8f0b6887ac378f4f5aa49b51cc Mon Sep 17 00:00:00 2001
From: Peter Vacho <p_vacho@utb.cz>
Date: Sun, 16 Mar 2025 22:02:41 +0100
Subject: [PATCH] Use consistent hashing for rng seeding
Turns out the built-in `hash()` function in python doesn't behave
consistently across re-runs, and while it does return the same value
during the same program run, once the interpreter is closed and a new
instance is started, hash behaves differently.
This inconsistency is unacceptable, as the whole point of the seed is to
be able to achieve the same results consistently.
---
src/ui.py | 4 +++-
1 file changed, 3 insertions(+), 1 deletion(-)
diff --git a/src/ui.py b/src/ui.py
index 2cc5b04..63fb8bb 100644
--- a/src/ui.py
+++ b/src/ui.py
@@ -1,4 +1,5 @@
from typing import TypedDict
+import hashlib
import matplotlib.pyplot as plt
import numpy as np
@@ -127,7 +128,8 @@ class OptimizationUI(QWidget):
seed = self.seed_input.text()
if seed != "":
- bit_gen = np.random.PCG64(abs(hash(seed)))
+ seed_int = int.from_bytes(hashlib.sha256(seed.encode("utf-8")).digest())
+ bit_gen = np.random.PCG64(seed_int)
rng = np.random.Generator(bit_gen)
else:
rng = None