def test_with_list(test_data):
print('MergeSort:')
start_time = int(round(time.time() * 1000))
result = MergeSort.merge_sort(test_data)
duration = int(round(time.time() * 1000)) - start_time
print('Duration: ' + str(duration) + 'ms')
empty_target = result
del result
del start_time
del duration
print('InsertionSort:')
start_time = int(round(time.time() * 1000))
result = InsertionSort.insertion_sort(test_data)
duration = int(round(time.time() * 1000)) - start_time
print('Duration: ' + str(duration) + 'ms')
empty_target = result
del result
del start_time
del duration
print('BubbleSort:')
start_time = int(round(time.time() * 1000))
result = BubbleSort.bubble_sort(test_data)
duration = int(round(time.time() * 1000)) - start_time
print('Duration: ' + str(duration) + 'ms')
empty_target = result
del result
del start_time
del duration
print('SelectSort:')
start_time = int(round(time.time() * 1000))
result = SelectSort.select_sort(test_data)
duration = int(round(time.time() * 1000)) - start_time
print('Duration: ' + str(duration) + 'ms')
empty_target = result
del result
del start_time
del duration
import time
import random
import InsertionSort, MergeSort
if __name__ == "__main__":
array_size = 10000
arr = random.sample(range(1, 10001), array_size)
arr_2 = list(arr)
start_merge = time.time()
MergeSort.merge_sort(arr)
end_merge = time.time()
start_insertion = time.time()
InsertionSort.insertion_sort(arr_2)
end_insertion = time.time()
print("Merge sort : %s seconds" % (end_merge - start_merge))
print("Insertion sort : %s seconds" % (end_insertion - start_insertion))
] #<<<<<THIS IS TO TEST THE FINAL DISPLAY WITHOUT HAVING TO WAIT A LONG TIME
results = [None] * 6
time = timer.timer()
#create the starting lists
for x in range(0, 3):
data[x] = rand.randomIntList(totals[x], 1, 999)
#data set 1
#bubble sort
time.startTimer()
r = bubble.bubble_sort(data[0])
results[0] = time.endTimer()
#merge Sort
time.startTimer()
r = merge.merge_sort(data[0])
results[1] = time.endTimer()
#data set 2
#bubble sort
time.startTimer()
r = bubble.bubble_sort(data[1])
results[2] = time.endTimer()
#merge Sort
time.startTimer()
r = merge.merge_sort(data[1])
results[3] = time.endTimer()
#data set 3
#bubble sort
time.startTimer()
merge_times = []
insertion_times = []
WC_merge_times = []
WC_insertion_times = []
#Create 11 arrays of a random size from 1000 to 100000
for x in range(11):
n.append(random.randrange(1000,100000,1))
unsorted_arrays.append(make_array(n[x], 100))
sorted_arraysM = unsorted_arrays.copy()
#Sort all of the arrays using merge sort and save the time taken to sort
print("Merge Sort")
for x in range(11):
startTime = time.time()
MergeSort.merge_sort(sorted_arraysM[x])
merge_times.append(time.time() - startTime)
sorted_arryasI = unsorted_arrays.copy()
#Sort all of the arrays using insertion sort and save the time taken to sort
print("Insertion Sort")
for x in range(11):
startTime = time.time()
InertionSort.insertion_sort(sorted_arryasI[x])
insertion_times.append(time.time() - startTime)
#Store the array size and merge sort times in a pandas data frame
merge_df = pd.DataFrame(list(zip(n, merge_times)), columns = ['Size', 'Merge Sort Time'])
print(merge_df)
#Store the array size and insertion sort times in a pandas data frame
def apply_sort(self, list_of_things):
return MergeSort.merge_sort(list_of_things)
QuickSort.quick_sort(test_list, 0, size - 1)
finish = time.time()
print("********************************")
print("QuickSort: ", test_list)
print("time: %f" % (finish - start))
print("\n")
test_list = [
1, 5, 52, 4, 23, 1, 32, 4, 5, 6, 19, 4234, 100, 2, 3, 45, 68, 125, 37,
54614, 2, 46, 67, 1, 5, 52, 4, 23, 1, 32, 4, 5, 6, 19, 4234, 100, 2, 3,
45, 68, 125, 37, 54614, 2, 46, 67, 1, 5, 52, 4, 23, 1, 32, 4, 5, 6, 19,
4234, 100, 2, 3, 45, 68, 125, 37, 54614, 2, 46, 67
]
size = len(test_list)
start = time.time()
test_list = MergeSort.merge_sort(test_list)
finish = time.time()
print("********************************")
print("MergeSort: ", test_list)
print("time: %f" % (finish - start))
print("\n")
test_list = [
1, 5, 52, 4, 23, 1, 32, 4, 5, 6, 19, 4234, 100, 2, 3, 45, 68, 125, 37,
54614, 2, 46, 67, 1, 5, 52, 4, 23, 1, 32, 4, 5, 6, 19, 4234, 100, 2, 3,
45, 68, 125, 37, 54614, 2, 46, 67, 1, 5, 52, 4, 23, 1, 32, 4, 5, 6, 19,
4234, 100, 2, 3, 45, 68, 125, 37, 54614, 2, 46, 67
]
size = len(test_list)
start = time.time()
HeapSort.heapsort(test_list)
import MergeSort
import NumList
# create a new NumList and print out contents
listSize = 10000
testList = NumList.NumList(listSize)
print "Pre MergeSort"
for x in testList.my_list:
print "\t" + repr(x)
testList.my_list = MergeSort.merge_sort(testList.my_list)
print "Post MergeSort"
for x in testList.my_list:
print "\t" + repr(x)
# pass to merge to sort and print out contents
start_time = time.time()
# Calling bubble_sort for each data set
BubbleSort.bubble_sort(data["data" + str(i + 1)])
print("Bubble time for data" + str(i + 1) + " = " +
str(time.time() - start_time))
#-----------------------------------------------------------------------------#
# DECREASE AND CONQUER #
#-----------------------------------------------------------------------------#
# INSERTION SORTING
for i in range(len(data)):
# invoke the start time to measure the performance
start_time = time.time()
# Calling bubble_sort for each data set
InsertionSort.insertion_sort_iterative(data["data" + str(i + 1)])
print("Insertion time for data" + str(i + 1) + " = " +
str(time.time() - start_time))
#-----------------------------------------------------------------------------#
# DIVIDE AND CONQ SORTING #
#-----------------------------------------------------------------------------#
# MERGE SORTING
for i in range(len(data)):
# invoke the start time to measure the performance
start_time = time.time()
# Calling bubble_sort for each data set
MergeSort.merge_sort(data["data" + str(i + 1)])
print("Merge time for data" + str(i + 1) + " = " +
str(time.time() - start_time))
# mergesort using just 1 core
import MergeSort # Imports mergesort functions
import random
import time
# Create an array to be sorted
arraylength = 1000000 # Length of array to be sorted
print('Length of array is', arraylength)
array = list(range(arraylength)) # Creates array
random.shuffle(array) # Jumbles up array
# Sort and time sorting process
start_time = time.time() # Records start time
print('Sorting array...')
array = MergeSort.merge_sort(array) # Sorts array
print('Array sorted.')
time_taken = time.time() - start_time # Calculates and records time_taken
print('Time taken to sort is ', time_taken, 'seconds.')