Files
SnailMan 899c844c78 Refactor benchmark to use randomized vectors instead of sets
- Replaced std::set with std::vector for sequence handling.
- Added randomization of sequences to avoid ordered input bias.
- Removed unused balance function and related code in bst.cpp and bst.h.
- Fixed bugs in list insertion and search logic.
- Updated plot.py to allow custom y-axis labels and enable log scale for build plots.
2025-05-14 19:44:07 +02:00

59 lines
2.0 KiB
Python

import matplotlib.pyplot as plt
def plot(header:str, first:list[int], second:list[int], log=False, labels=("Lista", "Drzewo BST"), ylabel= "Czas (ms)"):
plt.figure(figsize=(10, 6))
plt.plot(range(1000,25001,1000), first, label=labels[0])
plt.plot(range(1000,25001,1000), second, label=labels[1])
plt.xlabel("Rozmiar tablicy")
plt.ylabel(ylabel)
if log:
plt.yscale('log', base=2)
plt.title(header)
plt.legend()
plt.savefig(f"./charts/{header}.png")
if __name__ == "__main__":
with open('results.csv', 'r') as file:
data = file.read()
lines = data.split('\n')
headers = lines[0].split(',')
values = [line.split(',') for line in lines[1:]]
bstTimes = {
"build":[],
"search":[],
"delete":[]
}
listTimes = {
"build":[],
"search":[],
"delete":[]
}
for row in values:
if row[0] == 'BST':
bstTimes['build'].append(float(row[1]))
bstTimes['search'].append(float(row[2]))
bstTimes['delete'].append(float(row[3]))
elif row[0] == 'List':
listTimes['build'].append(float(row[1]))
listTimes['search'].append(float(row[2]))
listTimes['delete'].append(float(row[3]))
plot("Tworzenie", listTimes['build'], bstTimes['build'], log=True)
plot("Wyszukiwanie", listTimes['search'], bstTimes['search'], log=True)
plot("Usuwanie", listTimes['delete'], bstTimes['delete'])
with open("avl.csv", "r") as file:
data = file.read()
lines = data.split('\n')
headers = lines[0].split(',')
values = [line.split(',') for line in lines[1:-1]]
bstHeights = [int(x[0]) for x in values]
avlHeights = [int(x[1]) for x in values]
plot("AVL", bstHeights, avlHeights, log=True, labels=("Drzewo BST", "Drzewo AVL"), ylabel="Wysokość drzewa")