leftovers

simulations/donut.c/donutdbg.debugtarget

@@ -9,5 +9,14 @@
       <Property name="Executable" value="C:\Users\Sebastian\Desktop\INF6B\simulations\donut.c\donut.exe" />
       <Property name="Arguments" value="" />
     </Option>
+    <Option name="RestoreBreakpoints">
+      <Property name="Breakpoints" />
+    </Option>
+    <Option name="RestoreCommandHistory">
+      <Property name="History">
+        <Property value="p" />
+        <Property value="help" />
+      </Property>
+    </Option>
   </TargetOptions>
 </TargetConfig>

simulations/mandelbrotset/wikipedia.py

@@ -0,0 +1,41 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Setting parameters (these values can be changed)
+x_domain, y_domain = np.linspace(-2, 2, 500), np.linspace(-2, 2, 500)
+bound = 2
+max_iterations = 50  # any positive integer value
+colormap = "nipy_spectral"  # set to any matplotlib valid colormap
+
+func = lambda z, p, c: z**p + c
+
+# Computing 2D array to represent the Mandelbrot set
+iteration_array = []
+for y in y_domain:
+    row = []
+    for x in x_domain:
+        z = 0
+        p = 2
+        c = complex(x, y)
+        for iteration_number in range(max_iterations):
+            if abs(z) >= bound:
+                row.append(iteration_number)
+                break
+            else:
+                try:
+                    z = func(z, p, c)
+                except (ValueError, ZeroDivisionError):
+                    z = c
+        else:
+            row.append(0)
+
+    iteration_array.append(row)
+
+# Plotting the data
+ax = plt.axes()
+ax.set_aspect("equal")
+graph = ax.pcolormesh(x_domain, y_domain, iteration_array, cmap=colormap)
+plt.colorbar(graph)
+plt.xlabel("Real-Axis")
+plt.ylabel("Imaginary-Axis")
+plt.show()