From 90fb493f32c2f3f1028a56fbeb4cbd9407f6efd2 Mon Sep 17 00:00:00 2001
From: sbosse <sbosse@uni-bremen.de>
Date: Tue, 27 Jan 2026 00:29:25 +0100
Subject: [PATCH] Tue 27 Jan 00:26:46 CET 2026

---
 src/SimNDT/run_setup/snapshots.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/src/SimNDT/run_setup/snapshots.py b/src/SimNDT/run_setup/snapshots.py
index 7564de8..9537d26 100644
--- a/src/SimNDT/run_setup/snapshots.py
+++ b/src/SimNDT/run_setup/snapshots.py
@@ -8,6 +8,7 @@ from  scipy.misc import imsave
 from scipy.io import savemat
 
 import math
+import yaml
 
 class SnapShots:
     def __init__(self, Enable=False, Extension='.png', Step=200, Filename=None, File_path = None, dB=60, Color=0, 
@@ -21,6 +22,7 @@ class SnapShots:
                        enableCsv=False,
                        enableVolume=False,
                        enableView=False,
+                       enableSummary=False,
                        sensorShape = [],
                        sensorPlacement = [],
                        sensorSize = 0):
@@ -46,6 +48,7 @@ class SnapShots:
         self.enableCsv      = enableCsv
         self.enableVolume   = enableVolume
         self.enableView     = enableView
+        self.enableSummary  = enableSummary
         self.sensorShape    = sensorShape
         self.sensorPlacement = sensorPlacement
         self.sensorSize      = sensorSize
@@ -179,6 +182,20 @@ class SnapShots:
           FILE = self.Filename + ("-signal-"+Label+"-%05d" % (int(n / self.Step))) + ".mat"
           savemat(FILE, S)
 
+
+    def save_summary (self,dt,dx):
+        if self.enableSummary == True:
+          FILE = self.Filename + ("-simulation.yml")
+          FILE_PATH = os.path.join(self.File_path, FILE)
+          # save in yaml format
+          data = dict (
+            dt=dt,
+            dx=dx
+          )
+          print("Saving simulation summary in "+FILE_PATH)
+          with open(FILE_PATH, 'w') as outfile:
+            yaml.dump(data, outfile, default_flow_style=False)
+        
     def save_power(self, Vx, Vy, n):
        
         S =  np.sqrt(Vx ** 2 + Vy ** 2)