def run_bubble_sort():
ll = np.random.randint(-10, 10, 10) #[7, 6, 5, 4, 3, 2, 1]
bs = BubbleSort(ll)
res = bs.sort()
print("BubbleSort")
print(f"before: {ll}")
print(f"after: {res}")
print()
def testbubblesort(self):
a = [random.randint(-100,100) for c in range(1000)]
print('before sort', a)
BubbleSort.sort(a)
print('after sort',a)
for i in range(len(a)-1):
if(a[i] > a[i+1]):
self.fail('bubble sort failed')
from bubble_sort import BubbleSort array = [21, 4, 1, 3, 9, 20, 25, 6, 21, 1, 14] BubbleSort(array, len(array)) print(array)
from abstract_sort import AbstractSort
from bubble_sort import BubbleSort
from quick_sort import QuickSort
from heap_sort import HeapSort
from python_sort import PythonSort
from sort_time_complexity import SortTimeComplexity
if __name__ == '__main__':
stc = SortTimeComplexity()
stc.run_sorter_tests(BubbleSort())
stc.run_sorter_tests(QuickSort())
stc.run_sorter_tests(HeapSort())
stc.run_sorter_tests(PythonSort())
stc.display_plot()
from bubble_sort import BubbleSort
from selection_sort import SelectionSort
from sort_strategy import SortStrategy
if __name__ == '__main__':
# the list to sort
my_list = [1,2,3,4,5,6,7]
# bubbke sort algo
b = BubbleSort()
# Selection sort algo
s = SelectionSort()
# choosing the strategy - bubble sort
print("Bubble sort :")
strategy = SortStrategy(b)
sorted_list = strategy.sort(my_list)
print("result ", sorted_list)
# changing the strategy to Selection sort
print("Selection sort :")
strategy.algo = s
sorted_list = strategy.sort(my_list)
def get_algorytm(self):
self.list_agloritm = [BubbleSort(), QuickSort()]
from bubble_sort import BubbleSort from merge_sort import MergeSort list_to_sort = [5, 4, 3, 2, 1] # list_to_sort = [1, 2, 3, 4, 5] sorting_algo = BubbleSort() sorting_algo.sort(list_to_sort) print "Sorted using bubble-sort:" print list_to_sort list_to_sort = [5, 3, 4, 2, 1] sorting_algo = MergeSort() sorting_algo.sort(list_to_sort) print "Sorted using merge-sort:" print list_to_sort
from bubble_sort import BubbleSort
from quicksort import QuickSort
from sort_time_complexity import SortTimeComplexity
if __name__ == '__main__':
array = [1, 5, 63, 72, 9, 34]
bubble_sorts = BubbleSort()
bubble_sorts.get_data(array)
print(bubble_sorts.sort(array))
quick_sort = QuickSort()
# quick_sort.get_data()
sort_machine = SortTimeComplexity()
print(sort_machine.measure_time(bubble_sorts, array))
def bubble_sort(array):
start = timeit.default_timer()
copied_array = copy.copy(array)
BubbleSort.sort(array=copied_array)
end = timeit.default_timer()
return format(end - start, '.5f')
class TestBubbleSort(SortTest, unittest.TestCase):
sorter = BubbleSort()
from counting_sort import CountingSort
from radix_sort import RadixSort
from heap_sort import HeapSort
from merge_sort import MergeSort
from quick_sort import QuickSort
from bubble_sort import BubbleSort
from selection_sort import SelectionSort
from insertion_sort import InsertionSort
from time import time
import random
options = {
1: ("Bubble Sort", BubbleSort()),
2: ("Selection Sort", SelectionSort()),
3: ("Insertion Sort", InsertionSort()),
4: ("Quick Sort", QuickSort()),
5: ("Merge Sort", MergeSort()),
6: ("Radix Sort", RadixSort()),
7: ("Counting Sort", CountingSort()),
8: ("Heap Sort", HeapSort())
}
print("Sorting Options: ")
for i in options.keys():
print("Option {} : {}".format(i, options[i][0]))
while True:
option = int(input("Enter sorting option: "))
sort_alg = options[option][1]
start = time()
arr = [random.randint(-100000, 100000) for _ in range(10)]
print(arr)
def fn_bubble_sort(input, output, start):
bubb_sort = BubbleSort()
bubb_sort.bubble_sort(input)
assert input == output
end = time.time()
def test_short_bubble_sort(self):
sortedList = BubbleSort.short_bubble_sort(self.targetList)
self.assertTrue(sortedList == self.checkList)
def test_bubble_sort(self):
algo = SortingTestWrapper(BubbleSort(), self.n, self.seed)
self.assertListEqual(algo.integer_sort(), self.verification.integer_sort())