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AlgorithmAnalysis.py
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import sys
import timeit
import random
MAX = 999999 #elementos que serao sorteados
def radixsort(v):
radix = 10
maxLen = False
aux = -1
placement = 1
while not maxLen:
maxLen = True
buckets = [list() for _ in range(radix)]
for i in v:
aux = i // placement
buckets[aux % radix].append(i)
if maxLen and aux > 0:
maxLen = False
a = 0
for b in range(radix):
buck = buckets[b]
for i in buck:
v[a] = i
a += 1
placement *= radix
def trocar(v, i, j):
aux = v[i]
v[i] = v[j]
v[j] = aux
def particao(v, esq, dir):
pivo = v[esq]
i = esq
j = dir+1
while(True):
i+=1
while v[i] < pivo:
if i >= dir: break
i+=1
j-=1
while v[j] > pivo:
if j <= esq: break
j-=1
if i >= j : break
trocar(v,i,j)
trocar(v,esq,j)
return j
def quickSortIterative(v,low,high):
size = high - low + 1
stack = [0] * (size)
top = -1
top = top + 1
stack[top] = low
top = top + 1
stack[top] = high
while top >= 0:
high = stack[top]
top = top - 1
low = stack[top]
top = top - 1
p = particao(v, low, high)
if p-1 > low:
top = top + 1
stack[top] = low
top = top + 1
stack[top] = p - 1
if p+1 < high:
top = top + 1
stack[top] = p + 1
top = top + 1
stack[top] = high
def insertionSort(v):
for i in range (1, len(v)):
k = v[i]
j = i-1
while j >= 0 and k < v[j]:
trocar(v, j+1, j)
j -= 1
def randomSeq(tam):
v = [0]*tam
for x in range(0, tam):
v[x] = random.randint(0, MAX)
return v
def shuffleSeq(tam):
v = [x for x in range(0, tam+1)]
random.shuffle(v)
return v
def testeQuickSort(vTeste, N):
v = vTeste[:]
quickSortIterative(v, 0, N-1)
del v
def testeInsertionSort(vTeste):
v = vTeste[:]
insertionSort(v)
del v
def testeRadixSort(vTeste):
v = vTeste[:]
radixsort(v)
del v
def main():
vTeste = [10]*100000 #vetor de teste
N = len(vTeste)
rep = 10
while rep > 0:
t1 = timeit.timeit(lambda: testeQuickSort(vTeste, N), number = 1)
print (t1)
t2 = timeit.timeit(lambda: testeInsertionSort(vTeste), number = 1)
print (t2)
t3 = timeit.timeit(lambda: testeRadixSort(vTeste), number = 1)
print (t3)
rep -= 1
if __name__ == '__main__':
main()