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-rw-r--r--sem4/hpp/miniproject/optimised.py60
1 files changed, 60 insertions, 0 deletions
diff --git a/sem4/hpp/miniproject/optimised.py b/sem4/hpp/miniproject/optimised.py
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+++ b/sem4/hpp/miniproject/optimised.py
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+#!/usr/bin/env python3
+
+import numpy as np
+import matplotlib.pyplot as plt
+import time
+
+# c-mesh limits
+limitre = ( -2, 1 )
+limitim = ( -1.5, 1.5 )
+
+def lota(c, T, l):
+ z = 0
+ for i in range(l):
+ nz = z*z + c
+
+ # Check if we found or z
+ if np.abs(nz) > T:
+ break
+
+ z = nz
+ else:
+ # If we did not find z, use l
+ return l
+
+ return np.abs(z)
+
+def mangel(pre, pim, T, l):
+ # Preallocate result array and z array
+ rs = np.zeros((pre, pim))
+ z = np.zeros((pre, pim))
+
+ # Calculate C matrix
+ re = np.linspace(limitre[0], limitre[1], pre)
+ im = np.linspace(limitim[0], limitim[1], pim)
+
+ # Calculate C by multiplying the scalers in. Remember to move it to the beggining og the c-mesh limit
+ grid = np.add.outer(re, 1j * im)
+
+ for i in range(l):
+ z = z*z + grid
+
+ # Extract all the ones that are under the threshold
+ below = (np.abs(z) < T)
+
+ rs += below
+
+ rs[ rs==rs.max() ] = l
+ rs /= l
+
+ return rs
+
+start = time.time()
+arr = mangel(500, 500, 2, 100)
+end = time.time()
+
+plt.imshow(arr, cmap=plt.cm.hot, vmin=0, vmax=1)
+plt.savefig("test.png")
+plt.savefig("test.pdf")
+
+print(f"Took {end - start} seconds")