def sampleMedianSelect(list, left, right, m):
if m >= len(list[left:right + 1]):
#print("m>len(list)->decreasing m")
m = len(list[left:right + 1])
S = random.sample(list[left:right + 1], m)
if m <= 20:
selectionSort(S)
else:
heapSort(S)
return S[ceil(len(S) / 2)]
def testSort(self):
testSorted = [1, 3, 5, 6]
test1 = [1 ,3, 5, 6]
self.assertEqual(selectionSort(test1), testSorted, 0)
self.assertEqual(insertionSort(test1), testSorted, 0)
test2 = [1, 3, 6, 5]
self.assertEqual(selectionSort(test2), testSorted, 0)
self.assertEqual(insertionSort(test2), testSorted, 0)
test3 = [6, 5, 3, 1]
self.assertEqual(selectionSort(test3), testSorted, 0)
self.assertEqual(insertionSort(test3), testSorted, 0)
def StartAlgorithm():
global data
if not data: return
if (algMenu.get() == 'Intserion Sort'):
insertionSort(data, drawData, speedScale.get())
if (algMenu.get() == 'Bubble Sort'):
bubble_sort(data, drawData, speedScale.get())
if (algMenu.get() == 'Selection Sort'):
selectionSort(data, drawData, speedScale.get())
if (algMenu.get() == 'Merge Sort'):
merge_sort(data, drawData, speedScale.get())
if (algMenu.get() == 'Quick Sort'):
quick_sort(data, 0, len(data) - 1, drawData, speedScale.get())
drawData(data, ["green" for x in range(len(data))])
sorted_list.append(seq1[index_a])
index_a += 1
else:
sorted_list.append(seq2[index_b])
index_b += 1
while index_a < len(seq1):
sorted_list.append(seq1[index_a])
index_a += 1
while index_b < len(seq2):
sorted_list.append(seq2[index_b])
index_b += 1
return sorted_list
if __name__ == '__main__':
#randlist1 = np.random.randint(1,100, (10))
#randlist2 = np.random.randint(1,100, (10))
randlist1 = [random.randint(1, 100) for i in range(10)]
randlist2 = [random.randint(1, 100) for i in range(10)]
print(type(randlist1), type(randlist2))
sorted_list1, _ = selectionSort(randlist1)
sorted_list2, _ = selectionSort(randlist2)
print(sorted_list1, sorted_list2)
mergedSortList = mergeSort(sorted_list1, sorted_list2)
print("MergedList", mergedSortList)
def test_already_sorted(self):
input = [0,1,2,3,4,5]
output = input[:]
selectionSort(output)
self.assertEqual(output, sorted(input), "Should be [0,1,2,3,4,5]")
def test_backwards_array(self):
input = [5, 4, 3, 2, 1]
output = input[:]
selectionSort(output)
self.assertEqual(output, sorted(input), "Should be [1, 2, 3, 4, 5]")
def test_unsorted_array(self):
input = [1, 5, 63, 3, 54, 1]
output = input[:]
selectionSort(output)
self.assertEqual(output, sorted(input), "Should be [1, 1, 3, 5, 54, 63]")
def test_empty_array(self):
input = []
output = input[:]
selectionSort(output)
self.assertEqual(output, sorted(input), "Should be []")
