From 55cbd734c0929257a961c152597a424be72a727f Mon Sep 17 00:00:00 2001
From: Dominik Roth <dominik.roth.dev@gmail.com>
Date: Mon, 22 May 2023 17:39:57 +0200
Subject: [PATCH] Fix: Perlin had a 'bad' magic number (correlated outputs)

---
 priorConditionedAnnealing/noise.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/priorConditionedAnnealing/noise.py b/priorConditionedAnnealing/noise.py
index 224dbd2..230711d 100644
--- a/priorConditionedAnnealing/noise.py
+++ b/priorConditionedAnnealing/noise.py
@@ -93,14 +93,14 @@ class Perlin_Noise():
         self.known_shape = known_shape
         self.scale = scale
         self.octaves = octaves
-        self.magic = 0.141592653589  # Axis offset, should be (kinda) irrational
+        self.magic = 3.141592653589  # Axis offset, should be (kinda) irrational
         # We want to genrate samples, that approx ~N(0,1)
         self.normal_factor = 0.0471
         self.reset()
 
     def __call__(self, shape):
         self.index += 1
-        noise = [self.noise([self.index*self.scale, self.magic*(a+1)]) / self.normal_factor
+        noise = [self.noise([self.index*self.scale, self.magic*a]) / self.normal_factor
                  for a in range(self.known_shape[-1])]
         return th.Tensor(noise)