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Copy pathSorting.py
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121 lines (99 loc) · 2.9 KB
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import time
from numpy.random import randint
import matplotlib.pyplot as plt
def mergeSort(array):
if len(array) > 1:
r = len(array) // 2
L = array[:r]
M = array[r:]
mergeSort(L)
mergeSort(M)
i = j = k = 0
while i < len(L) and j < len(M):
if L[i] < M[j]:
array[k] = L[i]
i += 1
else:
array[k] = M[j]
j += 1
k += 1
while i < len(L):
array[k] = L[i]
i += 1
k += 1
while j < len(M):
array[k] = M[j]
j += 1
k += 1
def partition(array, low, high):
pivot = array[high]
i = low - 1
for j in range(low, high):
if array[j] <= pivot:
i = i + 1
array[i], array[j] = array[j], array[i]
array[i + 1], array[high] = array[high], array[i + 1]
return i + 1
def quickSort(array, low, high):
if low < high:
pi = partition(array, low, high)
quickSort(array, low, pi - 1)
quickSort(array, pi + 1, high)
def selectionSort(array, size):
for step in range(size):
min_idx = step
for i in range(step + 1, size):
if array[i] < array[min_idx]:
min_idx = i
array[step], array[min_idx] = array[min_idx], array[step]
def read_Input():
a = []
n = int(input("Enter the number of TV Channels: "))
print("Enter the number of viewers")
for i in range(0, n):
l = int(input())
a.append(l)
return a
elements = list()
times = list()
print("1. Merge Sort 2. Quick Sort 3. Selection Sort")
ch = int(input("Enter the Choice: "))
if ch in [1, 2, 3]:
array = read_Input()
if ch == 1:
labeldata = "MergeSort"
mergeSort(array)
elif ch == 2:
labeldata = "QuickSort"
size = len(array)
quickSort(array, 0, size - 1)
elif ch == 3:
labeldata = "SelectionSort"
size = len(array)
selectionSort(array, size)
print("Sorted Array is:")
print(array)
print("***************************Running Time Analysis************************")
for i in range(1, 11):
array = randint(0, 1000 * i, 1000 * i)
start = time.time()
if ch == 1:
mergeSort(array)
elif ch == 2:
size = len(array)
quickSort(array, 0, size - 1)
elif ch == 3:
size = len(array)
selectionSort(array, size)
end = time.time()
print(len(array), "Elements Sorted by", labeldata, "in", end - start, "seconds")
elements.append(len(array))
times.append(end - start)
plt.xlabel('List Length')
plt.ylabel('Time Complexity')
plt.plot(elements, times, label=labeldata)
plt.grid()
plt.legend()
plt.show()
else:
print("Invalid choice. Please select 1, 2, or 3 for sorting algorithms.")