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Copy pathlab7.py
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176 lines (141 loc) · 4.55 KB
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import random
import time
from copy import deepcopy
from typing import List
class Element:
def __init__(self, priorytet, data):
self.data = data
self.priorytet = priorytet
def __repr__(self):
return f"{self.priorytet} : {self.data}"
def __gt__(self, other):
return self.priorytet > other.priorytet
def __lt__(self, other):
return self.priorytet < other.priorytet
class Heap:
def __init__(self, tab):
if tab == None:
self.tab = []
else:
self.tab = tab
def right(self, i):
return 2 * i + 2
def left(self, i):
return 2 * i + 1
def parent(self, i):
return (i - 1) // 2
@property
def size(self):
return len(self.tab)
def is_empty(self):
return self.size == 0
def peek(self):
if self.is_empty():
return None
else:
return self.tab[0]
def dequeue(self):
if self.is_empty():
return None
first = self.tab[0]
self.tab[0] = self.tab[-1]
self.tab = self.tab[:-1]
self.repair(0)
return first
def createHeap(self):
for i in range(self.size, -1, -1):
self.repair(i, self.size)
def repair(self, start, size):
left = self.left(start)
right = self.right(start)
max = start
if left <= size - 1 and self.tab[left] > self.tab[max]:
max = left
if right <= size - 1 and self.tab[right] > self.tab[max]:
max = right
if max != start:
self.tab[start], self.tab[max] = self.tab[max], self.tab[start]
self.repair(max, size)
def enqueue(self, element: Element):
self.tab.append(element)
curr = self.size - 1
while curr > 0 and self.tab[curr] > self.tab[self.parent(curr)]:
self.tab[curr], self.tab[self.parent(curr)] = self.tab[self.parent(curr)], self.tab[curr]
curr = self.parent(curr)
def heapsort(self):
for i in range(self.size - 1, -1, -1):
self.tab[i], self.tab[0] = self.tab[0], self.tab[i]
self.repair(0, i)
def print_tab(self):
if self.is_empty():
print("{ }")
return
print('{', end=' ')
for i in range(self.size - 1):
print(self.tab[i], end=', ')
if self.tab[self.size - 1]:
print(self.tab[self.size - 1], end=' ')
print('}')
def print_tree(self, idx, lvl):
if idx < self.size:
self.print_tree(self.right(idx), lvl + 1)
print(2 * lvl * ' ', self.tab[idx] if self.tab[idx] else None)
self.print_tree(self.left(idx), lvl + 1)
def firstTest():
elem = [ Element(key, value) for key,value in [(5,'A'), (5,'B'), (7,'C'), (2,'D'), (5,'E'), (1,'F'), (7,'G'), (5,'H'), (1,'I'), (2,'J')]]
h = Heap(elem)
h.createHeap()
h.print_tab()
h.print_tree(0,0)
h.heapsort()
h.print_tab()
def secondTest():
randomNumbers = [int(random.random()*100) for i in range(1000)]
h = Heap(randomNumbers)
t_start = time.perf_counter()
h.createHeap()
h.heapsort()
t_stop = time.perf_counter()
print("Czas obliczeń: kopcowanie: ", "{:.7f}".format(t_stop - t_start))
def swap(tab):
for i in range(len(tab)):
k = tab[i]
kId = i
for j in range(i, len(tab)):
if k > tab[j]:
kId = j
k = tab[j]
tab[i], tab[kId] = tab[kId], tab[i]
return tab
def shift(tab):
for i in range(len(tab)):
k = tab[i]
kId = i
for j in range(i+1, len(tab)):
if k > tab[j]:
kId = j
k = tab[j]
elem = tab.pop(kId)
tab.insert(i, elem)
return tab
def main():
firstTest()
secondTest()
elem = [ Element(key, value) for key,value in [(5,'A'), (5,'B'), (7,'C'), (2,'D'), (5,'E'), (1,'F'), (7,'G'), (5,'H'), (1,'I'), (2,'J')]]
elem2 = deepcopy(elem)
print(shift(elem))
print(swap(elem2))
l = [int(random.random() * 100) for _ in range(10000)]
t_start1 = time.perf_counter()
shift(l)
t_stop1= time.perf_counter()
print("Czas obliczeń:przesunięcie elementów (shift):",
"{:.7f}".format(t_stop1 - t_start1))
l = [int(random.random() * 100) for _ in range(10000)]
t_start2 = time.perf_counter()
swap(l)
t_stop2 = time.perf_counter()
print("Czas obliczeń: zamiania miejscami (swap):",
"{:.7f}".format(t_stop2 - t_start2))
if __name__ == '__main__':
main()