Created
September 5, 2020 14:40
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Timing code
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import numpy as np | |
import matplotlib.pyplot as plt | |
from timeit import * | |
def collect_results(): | |
results = [] | |
for i in range(1000, 2000001, 100000): | |
f = "fast_doubling_fibonacci_recursive" | |
t1 = Timer(f"{f}({i})", | |
f"from __main__ import {f}") | |
st1 = t1.timeit(number=10) | |
f = "matrix_fibonacci" | |
t2 = Timer(f"{f}({i})", | |
f"from __main__ import {f}") | |
st2 = t2.timeit(number=10) | |
f = "fibonacci_djikstra" | |
t3 = Timer(f"{f}({i})", | |
f"from __main__ import {f}") | |
st3 = t3.timeit(number=10) | |
results.append((i, st1 / 10, st2 / 10, st3 / 10)) | |
print(results) | |
return results | |
if __name__ == "__main__": | |
matrixDat = np.array(collect_results()) | |
print (matrixDat) | |
plt.plot(matrixDat[:, 0], matrixDat[:, 1], 'o', color='red', label='fast_doubling_fibonacci_recursive'); | |
plt.plot(matrixDat[:, 0], matrixDat[:, 2], '+', color='blue', label='matrix_fibonacci'); | |
plt.plot(matrixDat[:, 0], matrixDat[:, 3], 'D', color='black', label='fibonacci_djikstra'); | |
plt.xlabel("Fibonacci(n)") | |
plt.ylabel("Duration(s)") | |
leg = plt.legend(numpoints=1) | |
plt.savefig('my_plot.png') | |
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