def main():
print("\nWelcome to the Student score locator\n")
studentsList = [
Student("Smith", "Joe", 78),
Student("Lily", "Sanders", 89),
Student("Maya", "Cooper", 94),
Student("John", "Smith", 67),
Student("Noble", "Barnes", 50),
Student("Hewlett", "Packard", 88),
Student("Harerra", "Jose", 95),
Student("Sally", "Barnes", 77),
Student("Mary", "Smith", 77),
Student("John", "Doe", 83),
Student("Raj", "Sharma", 56)
]
insertionSort(studentsList)
print("Students list in sorted order")
for s in studentsList:
print(s)
print()
ans = 'y'
while (ans.lower() == 'y'):
first = input("Please enter Student's first name: ")
last = input("Please enter Student's last name: ")
index = binarySearch2(Student(first, last, 0), studentsList)
if (index >= 0):
print("Score: ", studentsList[index].score)
else:
print("No student by that name")
ans = input("Continue?(y/n) ")
print("Goodbye")
def StartAlgorithm():
global data
if not data: return
if algMenu.get() == 'Quick Sort':
quick_sort(data, 0, len(data)-1, drawData, speedScale.get())
drawData(data, ['green' for x in range(len(data))])
elif algMenu.get() == 'Bubble Sort':
bubble_sort(data, drawData, speedScale.get())
elif algMenu.get() == 'Selection Sort':
selectionSort(data, drawData, speedScale.get())
elif algMenu.get() == 'Insertion Sort':
insertionSort(data, drawData, speedScale.get())
elif algMenu.get() == 'Merge Sort':
merge_sort(data, drawData, speedScale.get())
drawData(data, ['green' for x in range(len(data))])
def test_insertionSort():
mylist = [12, 34, 67, 45, 23, 36, 5, 17, 40, 10]
sorted_list = insertionSort(mylist)
assert sorted_list == [5, 10, 12, 17, 23, 34, 36, 40, 45, 67]
print("4 - Merge sort\n")
print("5 - Heap sort\n")
print("6 - Counting sort\n")
print("7 - Radix sort\n")
print("0 - Quit\n")
userSelection = input()
#Run the selected algorithm
if userSelection == '1':
startTime = time.time()
selectionsort.selectionSort(alist)
endTime = time.time()
resultsFile.write("You chose Selection sort\n")
elif userSelection == '2':
startTime = time.time()
insertionsort.insertionSort(alist)
endTime = time.time()
resultsFile.write("You chose Insertion sort\n")
elif userSelection == '3':
startTime = time.time()
alist = quicksort.quickSort(alist)
endTime = time.time()
resultsFile.write("You chose Quick sort\n")
elif userSelection == '4':
startTime = time.time()
mergesort.mergeSort(alist)
endTime = time.time()
resultsFile.write("You chose Merge sort\n")
elif userSelection == '5':
startTime = time.time()
heapsort.heapSort(alist)
# -*- coding: utf-8 -*-
## Insertion sort timer
# P12.5
from random import randint
from insertionsort import insertionSort
from time import time
# Prompt the user for the list size.
n = int(input("Enter list size: "))
# Construct random list.
values = []
for i in range(n):
values.append(randint(1, 100))
startTime = time()
insertionSort(values)
endTime = time()
print("Elapsed time: %.3f seconds" % (endTime - startTime))
def test_1(self):
arr = [1, 3, 4, 5, 2, 0]
res = insertionsort.insertionSort(arr)
self.assertEqual(res, [0, 1, 2, 3, 4, 5])
def main():
# List to sort
num_bars = DATA_SIZE[0] // (BAR_WIDTH + 1)
arr = [DATA_SIZE[1] // num_bars * i for i in range(1, num_bars)]
# Window layout
graph = sg.Graph(GRAPH_SIZE, (0, 0), DATA_SIZE, background_color='#F5F6F4')
layout = [[
sg.Text('Visualization',
size=(30, 1),
font=("Helvetica", 25),
background_color='#8F90A0',
text_color='#FFFFFF')
], [graph],
[
sg.Button('Select sorting method',
button_color=['#FFFFFF', '#35343B'],
font=("Helvetica", 12)),
sg.Button('Generate new array',
button_color=['#FFFFFF', '#35343B'],
font=("Helvetica", 12))
]]
window = sg.Window('Algorithm Visualizer', layout)
window.Finalize()
draw_bars(graph, arr)
while True:
event, values = window.read()
if event in (None, 'Exit'):
break
if event == 'Generate new array':
graph.Erase()
random.shuffle(arr)
draw_bars(graph, arr)
if event == 'Select sorting method':
l2 = [[
sg.T('Choose sorting method',
font=("Helvetica", 12),
background_color='#8F90A0',
text_color='#FFFFFF')
], [
sg.Listbox(['Bubble', 'Insertion', 'Selection'], size=(16, 3))
], [sg.Ok()]]
w2 = sg.Window('Choose sorting method', l2)
button, values = w2()
w2.close()
try:
if values[0][0] == 'Bubble':
sort = bubblesort.bubbleSort(arr)
sortmethod = 'Bubble'
elif values[0][0] == 'Insertion':
sort = insertionsort.insertionSort(arr)
sortmethod = 'Insertion'
else:
sort = selectionsort.selectionSort(arr)
sortmethod = 'Selection'
except:
sg.Popup('None selected.',
font=("Helvetica", 12),
background_color='#8F90A0',
text_color='#FFFFFF')
continue
timeout = 10
for partially_sorted_list in sort:
event, values = window.read(timeout=timeout)
if event is None:
break
graph.Erase()
draw_bars(graph, partially_sorted_list)
timeout = int(10)
sg.Popup(f'{sortmethod} sort done.',
font=("Helvetica", 12),
background_color='#8F90A0',
text_color='#FFFFFF')
import random as rnd
import time
from insertionsort import insertionSort
from quicksort import quickSort
num_elements = 20000 # lunghezza della lista da ordinare
unaLista = []
# generiamo una lista di 10000 interi a caso
for i in range(num_elements):
unaLista.append(rnd.randint(1, 100000))
start = time.time() # segna il tempo di inizio nella variabile start
insertionSort(unaLista)
stop = time.time() # segna il tempo di fine nella variabile start
print('Insertion sort per', stop - start, "secondi.")
unaLista = []
for i in range(num_elements):
unaLista.append(rnd.randint(1, 100000))
start = time.time() # segna il tempo di inizio nella variabile start
quickSort(unaLista)
stop = time.time() # segna il tempo di fine nella variabile start
print('Quick Sort per', stop - start, "secondi.")
unaLista = []
for i in range(num_elements):
unaLista.append(rnd.randint(1, 100000))
def executeAlgos():
# yield 'Starting executeAlgos...\n'
shortSize = 10
popSize = shortSize * 10
shortData = random.sample(range(0, popSize), shortSize) # Generate Random data
copyShortData = copy.deepcopy(shortData) # Maintain a copy for other algorithms
print ("Generated random short data with %d elements\n"%shortSize)
print "short data = "+ str(shortData) + "\n"
stdout.flush()
# yield ("Generated random short data with %d elements"%shortSize)
# ------- SMALL DATASETS SORTING --------
# Merge sort : small dataset
startTime = datetime.datetime.now()
mergeSort(shortData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print "Merge sorted short data = "+ str(shortData) + " in "+str(elapsedTime)+"\n"
stdout.flush()
# yield "\nMerge sorted short data = "+ str(shortData) + " in "+str(elapsedTime)
# Quick sort : small dataset
shortData = copy.deepcopy(copyShortData)
startTime = datetime.datetime.now()
quickSort(shortData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print "Quick sorted short data = "+ str(shortData) + " in "+str(elapsedTime) + "\n"
stdout.flush()
# yield "\nQuick sorted short data = "+ str(shortData) + " in "+str(elapsedTime)
# Heap sort : small dataset
shortData = copy.deepcopy(copyShortData)
startTime = datetime.datetime.now()
heapSort(shortData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print "Heap sorted short data = "+ str(shortData) + " in "+str(elapsedTime) + "\n"
stdout.flush()
# yield "\nQuick sorted short data = "+ str(shortData) + " in "+str(elapsedTime)
# Insertion sort : small dataset
shortData = copy.deepcopy(copyShortData)
startTime = datetime.datetime.now()
insertionSort(shortData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print "Insertion sorted short data = "+ str(shortData) + " in "+str(elapsedTime)+ "\n"
stdout.flush()
# Selection sort : small dataset
shortData = copy.deepcopy(copyShortData)
startTime = datetime.datetime.now()
selectionSort(shortData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print "Selection sorted short data = "+ str(shortData) + " in "+str(elapsedTime)+ "\n"
stdout.flush()
# -------- LARGE DATA -------
print '\n\n--------- Large data sets ---------\n\n'
largeSize = 10000 # Data set size for large data set demonstration
popSize = largeSize * 10 # Domain of random numbers allowed in random data set
largeData = random.sample(range(0, popSize), largeSize) # Genrate Random data
copyLargeData = copy.deepcopy(largeData) # Maintain a copy for other algorithms
print ("Generated random large data with %d elements\n"%largeSize)
# print "Large data = "+ str(largeData)+"\n"
stdout.flush()
# yield ("Generated random large data with %d elements"%largeSize)
# Merge sort : large dataset
print 'Merge sorting large data (%d elements)...\n' %( largeSize)
stdout.flush()
startTime = datetime.datetime.now()
mergeSortLargeData = copy.deepcopy(copyLargeData) # Maintain a copy for other algorithms
mergeSort(mergeSortLargeData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print ("Merge sorted large data (%d elements) in "%( largeSize) + str(elapsedTime) ) + "\n"
stdout.flush()
# yield ("Merge sorted large data (%d elements) in "%( largeSize) + str(elapsedTime) )
# Quick sort : large dataset
print 'Quick sorting large data (%d elements)...\n' %( largeSize)
stdout.flush()
quickSortLargeData = copy.deepcopy(copyLargeData)
startTime = datetime.datetime.now()
quickSort(quickSortLargeData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print ("Quick sorted large data (%d elements) in "%( largeSize) + str(elapsedTime)+ "\n" )
stdout.flush()
# yield ("Quick sorted large data (%d elements) in "%( largeSize) + str(elapsedTime) )
# Heap sort : large dataset
print 'Heap sorting large data (%d elements)...\n' %( largeSize)
stdout.flush()
heapSortLargeData = copy.deepcopy(copyLargeData)
startTime = datetime.datetime.now()
heapSort(heapSortLargeData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print ("Heap sorted large data (%d elements) in "%( largeSize) + str(elapsedTime)+ "\n" )
stdout.flush()
# yield ("Quick sorted large data (%d elements) in "%( largeSize) + str(elapsedTime) )
# Insertion sort : large dataset
print 'Insertion sorting large data (%d elements)...\n' %( largeSize)
stdout.flush()
insertionSortLargeData = copy.deepcopy(copyLargeData)
startTime = datetime.datetime.now()
insertionSort(insertionSortLargeData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print ("Insertion sorted large data (%d elements) in "%( largeSize) + str(elapsedTime)+ "\n" )
stdout.flush()
# Selection sort : large dataset
print 'Selection sorting large data (%d elements)...\n' %( largeSize)
stdout.flush()
largeSelectionSortData = copy.deepcopy(copyLargeData)
startTime = datetime.datetime.now()
selectionSort(largeSelectionSortData)
endTime = datetime.datetime.now()
elapsedTime = endTime - startTime
print ("Selection sorted large data (%d elements) in "%( largeSize) + str(elapsedTime) + "\n")
stdout.flush()
print "Printing large data sets...\n"
print "Raw large data set = "+ str(largeData)+"\n\n\n\n"
print "\n\n ------ Sorted Large Data sets ------\n\n"
print "Merge sorted large data = "+ str(mergeSortLargeData)+"\n\n\n\n"
print "Quick Sorted large data = "+ str(quickSortLargeData)+"\n\n\n\n"
print "Heap Sorted large data = "+ str(heapSortLargeData)+"\n\n\n\n"
print "Insertion Sorted large data = "+ str(insertionSortLargeData)+"\n\n\n\n"
print "Selection Sorted large data = "+ str(selectionSortLargeData)+"\n\n\n\n"
print '\nAlgorithms execution ended ...\n'
stdout.flush()
n = int(input("Enter list size: "))
# Construct random lists.
values = []
for i in range(n):
values.append(randint(1, 100))
values2 = list(values)
values3 = list(values)
startTime = time()
shellSort(values)
endTime = time()
print("Elapsed time with Shell sort: %.3f seconds" % (endTime - startTime))
startTime = time()
quickSort(values2, 0, n - 1)
endTime = time()
print("Elapsed time with quicksort: %.3f seconds" % (endTime - startTime))
for i in range(n):
if values[i] != values2[i]:
raise RuntimeError("Incorrect sort result.")
startTime = time()
insertionSort(values3)
endTime = time()
print("Elapsed time with insertion sort: %.3f seconds" % (endTime - startTime))
