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Diffstat (limited to 'sem4/hpp/miniproject/optimised.py')
-rw-r--r-- | sem4/hpp/miniproject/optimised.py | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/sem4/hpp/miniproject/optimised.py b/sem4/hpp/miniproject/optimised.py new file mode 100644 index 0000000..64af72d --- /dev/null +++ b/sem4/hpp/miniproject/optimised.py @@ -0,0 +1,60 @@ +#!/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") |