def timeAlgorithm(array, algorithm):
if algorithm == "counting":
start = time.time_ns()
countingSort(array)
end = time.time_ns()
elif algorithm == "quick":
start = time.time_ns()
quickSort(array, 0, len(array) - 1)
end = time.time_ns()
elif algorithm == "insertion":
start = time.time_ns()
insertionSort(array)
end = time.time_ns()
elif algorithm == "merge":
start = time.time_ns()
mergeSort(array)
end = time.time_ns()
elif algorithm == "heap":
start = time.time_ns()
heapSort(array, 0, len(array))
end = time.time_ns()
elif algorithm == "intro":
start = time.time_ns()
introSort(array)
end = time.time_ns()
else:
return 1
return end - start
def main(): toSort = list(range(0, 21)) fyShuffle(toSort) bubbleSort(toSort) fyShuffle(toSort) insertionSort(toSort) fyShuffle(toSort) mergeSort(toSort) fyShuffle(toSort) quickSort(toSort) fyShuffle(toSort) selectionSort(toSort) toSearch = [-16, -8, -4, -2, -1, 0, 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096] for i in range (0, len(toSearch)): binarySearch(toSearch, toSearch[i] - 1) binarySearch(toSearch, toSearch[i]) binarySearch(toSearch, toSearch[i] + 1) for i in range (0, len(toSearch)): interpolationSearch(toSearch, toSearch[i] - 1) interpolationSearch(toSearch, toSearch[i]) interpolationSearch(toSearch, toSearch[i] + 1) toSearch = [-10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 10] for i in range (0, len(toSearch)): binarySearch(toSearch, toSearch[i] - 1) binarySearch(toSearch, toSearch[i]) for i in range (0, len(toSearch)): interpolationSearch(toSearch, toSearch[i] - 1) interpolationSearch(toSearch, toSearch[i])
def DeterministSelection(A,lenA,i):
if lenA<5:
sortedArray=mergeSort.mergeSort(A,lenA)
return sortedArray[i-1]
####################################################################
#this compute the median. In the random selection all this block is replaced by int(random.random(0,lenA-1))
medians_array=[]
#round up the nomber of groups when its not an integer
number_of_groups=int(lenA/5)
if int(lenA/5)<lenA/5:
number_of_groups+=1
for k in range(0,number_of_groups):
end=0
if k*5+5>=lenA:
end=lenA
else: #detecting end of array
end=k*5+5
sortedArray=mergeSort.mergeSort(A[k*5:end],end-k*5)
middle=int((end-k*5)/2)
medians_array.append(sortedArray[middle])
pivot=DeterministSelection(medians_array,number_of_groups,int(number_of_groups/2 ))#we get the value but we need index
pivot=A.index(pivot)#index of pivot
############################################################################################################3
position=PartitionAny(A,pivot,0,lenA-1)
if position+1==i:
return A[position]
if position+1<i:
return DeterministSelection(A[position+1:lenA],lenA-position-1,i-position-1)
else:
return DeterministSelection(A[0:position],position,i)
def time(a, sortname):
time_start = time.time()
if sortname == 'Insertion':
insertionSort(a)
if sortname == 'Merge':
mergeSort(a)
if sortname == 'Quick':
quickSort(a)
time_end = time.time()
return (time_end - time_start)
def startAlgorithm():
global data
#check which algorithm is selected
if algoMenu.get() == 'Bubble Sort':
bubbleSort(data, draw, speed.get())
elif algoMenu.get() == 'Merge Sort':
mergeSort(data, draw, speed.get())
elif algoMenu.get() == 'Selection Sort':
selectionSort(data, draw, speed.get())
elif algoMenu.get() == 'Insertion Sort':
insertionSort(data, draw, speed.get())
elif algoMenu.get() == 'Quick Sort':
quick_sort(data, 0, len(data) - 1, draw, speed.get())
draw(data, ['green' for x in range(len(data))])
def time(a, sortname):
import time
from insertionSort import insertionSort
from mergeSort import mergeSort
from quickSort import quickSort
time_start = time.time()
if sortname == 'Insertion':
insertionSort(a)
if sortname == 'Merge':
mergeSort(a)
if sortname == 'Quick':
quickSort(a)
time_end = time.time()
return (time_end - time_start)
def main():
list=reader('input.txt')
Lasers=calculateScore(list)
Lasers=mergeSort.mergeSort(Lasers)
pointsNeeded=int(input("Please input the number of best moves needed"))
for i in range(pointsNeeded):
print(Lasers[i].x,Lasers[i].y,'facing',Lasers[i].direction,' and score is ',Lasers[i].score )
def sort_all(N): # num of array = 2**N
input = read_input(N) #读取待排序数据，input为python list
ret = {} #python 字典
ret["origin"] = input #初始数据
#ret["merge_sort"][0] 存放排序结果 ret["merge_sort"][1] 存放排序所花时间，下同
begin = time.time()
ret["merge_sort"] = [ mergeSort(input.copy(), 0, len(input) - 1) ]
end = time.time()
ret["merge_sort"].append(end - begin)
begin = time.time()
ret["heap_sort"] = [ heapSort(input.copy()) ]
end = time.time()
ret["heap_sort"].append(end - begin)
begin = time.time()
ret["quick_sort"] = [ quickSort(input.copy(), 0, len(input) - 1) ]
end = time.time()
ret["quick_sort"].append(end - begin)
begin = time.time()
ret["count_sort"] = [ countSort(input.copy(), 65536) ]
end = time.time()
ret["count_sort"].append(end - begin)
return ret
def Test_empty_array(self):
arr = [0]
mergArray = mergeSort(arr)
try:
numpy.testing.assert_array_equal(arr, [])
self.assertTrue(True)
except AssertionError as error:
self.assertTrue(False, error)
def test_one_element_array(self):
arr = numpy.array([2])
mergArray = mergeSort(arr)
try:
numpy.testing.assert_array_equal(mergArray, arr)
self.assertTrue(True)
except AssertionError as error:
self.assertTrue(False, error)
def getPercentile(num_list, percentile):
if percentile < 0 or percentile > 1:
return "Incorrect percentile provided"
sorted_list = mergeSort(num_list)
percentile_index = math.floor(len(sorted_list) * percentile)
return sorted_list[percentile_index]
def test_small_array(self):
arr = numpy.array([4, 8, 3, 9, 0, 8])
mergeArray = mergeSort(arr)
try:
numpy.testing.assert_array_equal(mergeArray,
numpy.array([0, 3, 4, 8, 8, 9]))
self.assertTrue(True)
except AssertionError as error:
self.assertTrue(False, error)
def startAlgorithm():
global data
if not data: return
if(algMenu.get() == 'Bubble Sort'):
bubbleSort(data, drawData, speedScale.get())
elif(algMenu.get() == 'Quick Sort'):
quickSort(data, drawData, speedScale.get())
drawData(data, ['green' for x in range(len(data))])
elif(algMenu.get() == 'Insertion Sort'):
insertionSort(data, drawData, speedScale.get())
elif(algMenu.get() == 'Selection Sort'):
selectionSort(data, drawData, speedScale.get())
elif (algMenu.get() == 'Heap Sort'):
heapSort(data, drawData, speedScale.get())
elif (algMenu.get() == 'Merge Sort'):
mergeSort(data, drawData, speedScale.get())
drawData(data, ['green' for x in range(len(data))])
def getMedian(num_list):
sorted_list = mergeSort(num_list)
if len(sorted_list) % 2 == 0:
print("Element 1: " + str(sorted_list[len(sorted_list) // 2]))
print("Element 2: " + str(sorted_list[(len(sorted_list) // 2) + 1]))
return (sorted_list[len(sorted_list) // 2] +
sorted_list[(len(sorted_list) // 2) + 1]) / 2
return sorted_list[len(sorted_list) // 2]
def get_sort():
restemp = []
if (request.json and request.json['array']
and isinstance(request.json['array'], list)
and len(request.json['array']) > 0
and len(request.json['array']) <= 10
and isinstance(request.json['array'][0], int)
and request.json['method']
and request.json['method'] in ['bubble', 'merge']
and isinstance(request.json['asc'], bool)):
if (request.json['method'] == 'bubble'):
bubbleSort.bubbleSort(restemp, request.json['array'],
request.json['asc'])
else:
mergeSort.mergeSort(restemp, request.json['array'],
request.json['asc'])
return jsonify({'res': restemp})
else:
return jsonify(
{'res': 'Input is not valid, please input 1 up to 10 numbers'})
def main():
for i in range(10):
arr = gen_array(i + 9)
print("iteration: ", i + 1)
print("before sort: ", arr)
sort_data = mergeSort(arr)
print("after sort: ", sort_data)
checkSort(sort_data)
def sorting():
"""Выбор сортировки из выпадающего списка"""
global array
sorting_speed = 0.2 #задаем скорость демонстрации в диапазоне от 0.1 до 1
if (selected_algorithm.get() == "Сортировка пузырьком"):
bubbleSort(array, demoArray, sorting_speed)
demoArray(array, ['#77E596' for element in range(len(array))])
elif (selected_algorithm.get() == "Сортировка вставками"):
insertSort(array, demoArray, sorting_speed)
demoArray(array, ['#77E596' for element in range(len(array))])
elif (selected_algorithm.get() == "Сортировка выбором"):
selectSort(array, demoArray, sorting_speed)
demoArray(array, ['#77E596' for element in range(len(array))])
elif (selected_algorithm.get() == "Сортировка слиянием"):
mergeSort(array, 0, len(array) - 1, demoArray, sorting_speed)
demoArray(array, ['#77E596' for element in range(len(array))])
elif (selected_algorithm.get() == "Быстрая сортировка"):
quickSort(array, 0, len(array) - 1, demoArray, sorting_speed)
demoArray(array, ['#77E596' for element in range(len(array))])
elif (selected_algorithm.get() == "Сортировка Шелла"):
shellSort(array, demoArray, sorting_speed)
demoArray(array, ['#77E596' for element in range(len(array))])
def sort(arr,element):
count = 0
array = arr.copy()
n = len(array)
array = mergeSort(array)
for i in range(n):
second_integer = element - array[i]
second_integer_index, frequency = binarySearch(array[i+1:],second_integer,1)
if second_integer_index != -1:
count += frequency
#for _ in range(frequency):
# print(f"({array[i]},{second_integer})", end = " ")
#print(end = "\n")
return count
def decrementCounts(hashTable):
eightShingleVectors = list(
filter(lambda x: (WILDCARD not in x), hashTable.keys()))
mergeSort(eightShingleVectors, 0, len(eightShingleVectors) - 1, hashTable)
maxShingleVectors = {}
for shingle in eightShingleVectors:
shingle = tuple(shingle)
max = 0
maxShingleVector = None
for shingleVector in hashTable.keys():
if isCoverVector(shingle,
shingleVector) and max < hashTable[shingleVector]:
max = hashTable[shingleVector]
maxShingleVector = shingleVector
maxShingleVectors[shingle] = maxShingleVector
for shingleVector in hashTable.keys():
if isCoverVector(
shingle,
shingleVector) and maxShingleVector != shingleVector:
aux = hashTable[shingleVector]
aux -= hashTable[shingle]
if aux < 0:
aux = 0
hashTable[shingleVector] = aux
keys = list(hashTable.keys()).copy()
for shingleVector in keys:
if hashTable[shingleVector] < THRESHOLD:
hashTable.pop(shingleVector)
return maxShingleVectors
def timeElapsed(algoritmo, arr):
start_time = time.time()
comparaciones = 0
if(algoritmo == "merge"):
comparaciones = mergeSort.mergeSort(arr)
elif(algoritmo == "quickStatic"):
comparaciones = quickSortStaticPiv.quickSort(arr)
elif(algoritmo == "quickAle"):
comparaciones = quickSortRandomPiv.quickSort(arr)
elif(algoritmo == "heap"):
comparaciones = heapSort.heapSort(arr)
elif(algoritmo == "bubble"):
comparaciones = bubbleSort.bubbleSort(arr)
elapsed_time = time.time() - start_time
print("TamList: ", len(arr), "\tTime: ", elapsed_time, "Comps: ", comparaciones)
def sortAlgo():
global boo
global array
global barRec
global epochs
epochs = [0]
boo = True
try:
size = int(sizeEntry.get())
except:
size = 15
if size < 0:
size = 1
#change the value of the speed selected
s = 1001 - speed.get()
#decide the algo
if algDropDown.get() == "Merge Sort":
algo = mergeSort(array, 0, size - 1)
elif algDropDown.get() == "Bubble Sort":
algo = bubbleSort(array)
elif algDropDown.get() == "Quick Sort":
algo = quickSort(array, 0, size - 1)
elif algDropDown.get() == "Insertion Sort":
algo = insertionSort(array)
elif algDropDown.get() == "Selection Sort":
algo = selectionSort(array)
elif algDropDown.get() == "Heap Sort":
algo = heapSort(array)
elif algDropDown.get() == "Radix Sort":
algo = radixSort(array)
#start animation
anima = anim.FuncAnimation(fig,
func=updatePlot,
fargs=(barRec, epochs),
frames=algo,
interval=s,
repeat=False,
blit=False)
anima._start()
if currNode == None:
print('Not found')
else:
if currNode.value > value:
self._find(currNode.leftChild, value)
elif currNode.value < value:
self._find(currNode.rightChild, value)
else:
print('Found')
# Create a balanced binary search tree from sorted array
def insertSort(self, sortedArr):
mid = len(sortedArr) // 2
if mid > 1:
self.insertTree(sortedArr[mid])
self.insertSort(sortedArr[:mid])
self.insertSort(sortedArr[mid:])
# Create a random list of number
import random
import mergeSort as mS
key = random.sample(range(1000), 500)
mS.mergeSort(key)
list = binarySearchTree()
list.insertSort(key)
list.treePrint()
print("The tree's height is : " + str(list.height()))
list.find(932)
# Save the values into the corresponding lists
for i in circles[0, :]:
# draw the outer circle
# cv2.circle(edges, (i[0], i[1]), i[2], (255, 255, 255), 2)
# draw the center of the circle
# cv2.circle(edges, (i[0], i[1]), 2, (255, 255, 255), 3)
# Save the centers and radii
listX.append(i[0])
listY.append(i[1])
listR.append(i[2])
print("Edges circle center at: " + str(i[0]) + ", " + str(i[1]))
# Sort the centers and radii
sortedX = mergeSort(listX)
sortedY = mergeSort(listY)
sortedR = mergeSort(listR)
# Find the medians
medianX = sortedX[len(sortedX) // 2]
medianY = sortedY[len(sortedY) // 2]
medianR = sortedR[len(sortedR) // 2]
# Draw/print the median circle
cv2.circle(edges, (medianX, medianY), medianR, (255, 255, 255), 2)
cv2.circle(edges, (medianX, medianY), 2, (255, 255, 255), 2)
print("Median edges circle center: " + str(medianX) + ", " + str(medianY) + " with radius " + str(medianR))
cv2.imshow("Edges Circle", edges)
# Find circles in the motion frame
#!/usr/bin/python3 import numpy as np from bubbleSort import bubbleSort from insertionSort import insertionSort from quickSort import quickSort from mergeSort import mergeSort a = np.random.randint(0, 10000, 100) # generate 100 random integer print(a) # bubbleSort(a) # insertionSort(a) # quickSort(a) mergeSort(a) print(a)
data6 = data1[:] data7 = data1[:] data8 = data1[:] s0 = time.clock() data1.sort() e0 = time.clock() print 'The python sorted:', e0-s0 s7 = time.clock() shellSort.shellSort(data7) e7 = time.clock() print 'shellSort:', e7-s7 s1 = time.clock() mergeSort.mergeSort(data1) e1 = time.clock() print 'mergeSort:', e1-s1 s5 = time.clock() quickSort.quick_sort(data5,0,len(data5)) e5 = time.clock() print 'quick_sort:', e5-s5 s6 = time.clock() quickSort.qSort(data6) e6 = time.clock() print 'qSort:', e6-s6 s3 = time.clock() insertionSort.insertionSort(data3)
def test_SortByMerge(self):
nums=[3,1,2,5,6,7,8,10,2,4]
mergeSort(nums,0,len(nums)-1)
self.assertEqual([1,2,2,3,4,5,6,7,8,10],nums);
from mergeSort import mergeSort
array = [12, 3, 4, 5, 7, 3424, 6, 78, 9, 354, 0, 14, 5, 63, 232]
mergeSort(array)
print(array)
def binarySearch(arr, value):
start = 0
last = len(arr) - 1
while last > start:
mid = (last + start) // 2
if arr[mid] > value:
last = mid
elif arr[mid] < value:
start = mid + 1
else:
print('Found at: ' + str(mid))
break
if last == start:
if arr[start] == value:
print('Found at: ' + str(start))
else:
print("Not Found")
binarySearch(array, 1)
__author__ = 'Andy'
import timeit
import mergeSort
import quickSort
list = [34, 7, 3, 31, 6, 8, 56, 24, 658, 9, 363, 563, 767, 34, 78, 2, 0, 1, 94]
print("mergeSort: ", mergeSort.mergeSort(list))
print(timeit.timeit('mergeSort.mergeSort(list)',
setup='import mergeSort;list = [34, 7, 3, 31, 6, 8, 56, 24, 658, 9, 363, 563, 767, 34, 78, 2, 0, 1, 94]',
number=30))
list = [34, 7, 3, 31, 6, 8, 56, 24, 658, 9, 363, 563, 767, 34, 78, 2, 0, 1, 94]
print("quickSort: ", quickSort.quickSort(list))
print(timeit.timeit('quickSort.quickSort(list)',
setup='import quickSort;import random;list = [34, 7, 3, 31, 6, 8, 56, 24, 658, 9, 363, 563, 767, 34, 78, 2, 0, 1, 94]',
number=30))
def sortMethod(self, arr):
mergeSort(arr)
#!/usr/bin/python import mergeSort import random import sys whichN = int(sys.argv[1]) N = [10**2, 10**4, 10**6, 10**8] i = N[whichN] randArray = [random.randint(1, 10000) for j in range(0, i)] mergeSort.mergeSort(randArray)
import numpy
import time
from mergeSort import mergeSort
from mergeSort import printArray
# random sorting
# ---------------------------------
randomTimes = numpy.zeros(100, dtype=float)
for x in range(0, 99):
array = numpy.random.randint(0, 10000, 10000)
start = time.clock()
mergeSort(array)
total = time.clock() - start
randomTimes[x] = total
# printArray(randomTimes)
# sorted sorting
# ---------------------------------
sortedTimes = numpy.zeros(100, dtype=float)
for x in range(0, 99):
array = numpy.random.randint(0, 1000, 10000)
array = numpy.sort(array)
start = time.clock()
mergeSort(array)
total = time.clock() - start
sortedTimes[x] = total
# printArray(sortedTimes)
# reverse order sorting
# ---------------------------------
revTimes = numpy.zeros(100, dtype=float)
import quickSort,mergeSort, heapSort, insertionSort, bubbleSort, time
from commonFunctions import createRandomLists
sortFunctions = ['quickSort.startQuickSort','mergeSort.mergeSort','heapSort.heapSort','insertionSort.insertionSort','bubbleSort.bubbleSort']
randomLists = createRandomLists(5,10)
listLengths = randomLists.keys()
listLengths = mergeSort.mergeSort(listLengths) # lol
functionTimes = {}
for function in sortFunctions:
functionTimes[function] = {}
for listLength in listLengths:
list = randomLists[listLength]
start = time.time()
eval(function)(list)
end = time.time()
functionTimes[function][listLength] = end-start
#print functionTimes
print "N= "+" "*(len("insertionSort")+8),
for n in listLengths:
print str(n)+" "*(5-len(str(n))),
print ""
for function in sortFunctions:
print function.split(".")[0],reduce(lambda x,time:str(x)+" "+str(round(time,5)),functionTimes[function].values())
def videoCallback( frame, drone, debug=False ):
global cnt
if isinstance(frame, tuple):
# print("h.264 frame - (frame# = %s, iframe = %s, size = %s)" % (frame[0], frame[1], len(frame[2])))
f.write(frame[-1])
f.flush()
else:
# Initialize the frame size for drone adjustment
if drone.frameWidth == 0:
drone.frameWidth = numpy.size(frame, 1)
if drone.frameHeight == 0:
drone.frameHeight = numpy.size(frame, 0)
# Initialize variables to compare the current frame to
if drone.thisFrame is None:
drone.lastFrame = frame
else:
drone.lastFrame = drone.thisFrame
drone.thisFrame = frame
# # Convert frames to grayscale and blur them
# gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# gray = cv2.GaussianBlur(gray, (21, 21), 0)
#
# grayLastFrame = cv2.cvtColor(drone.lastFrame, cv2.COLOR_BGR2GRAY)
# grayLastFrame = cv2.GaussianBlur(grayLastFrame, (21, 21), 0)
#
# # compute the absolute difference between the current frame and the last frame
# frameDelta = cv2.absdiff(grayLastFrame, gray)
ret, thresh = cv2.threshold(frame, 127, 255, cv2.THRESH_BINARY)
# Find edges after motion detection
edges = cv2.Canny(thresh, drone.minEdgeVal, drone.maxEdgeVal)
if drone.pictureBoolean:
drone.pictureBoolean = False
cv2.imwrite("saved_image.jpg", edges)
# Find sphero using circles
if drone.findSphero:
# Find circles after detecting edges
circles = cv2.HoughCircles(edges, cv2.HOUGH_GRADIENT, 1.2, 5,
param1=50, param2=30, minRadius=drone.minCircleRadius, maxRadius=drone.maxCircleRadius)
# circles = cv2.HoughCircles(edges, cv2.HOUGH_GRADIENT, 1.2, 10, minRadius=drone.minCircleRadius, maxRadius=drone.maxCircleRadius)
if circles is not None:
circles = numpy.uint16(numpy.around(circles))
listX = []
listY = []
listR = []
for i in circles[0, :]:
# # draw the outer circle
# cv2.circle(edges, (i[0], i[1]), i[2], (255, 255, 255), 2)
# # draw the center of the circle
# cv2.circle(edges, (i[0], i[1]), 2, (255, 255, 255), 3)
# Save the centers and radii
listX.append(i[0])
listY.append(i[1])
listR.append(i[2])
# print("Edges circle center at: " + str(i[0]) + ", " + str(i[1]))
# Sort the centers and radii and print/draw the median
sortedX = mergeSort(listX)
sortedY = mergeSort(listY)
sortedR = mergeSort(listR)
medianX = sortedX[len(sortedX) // 2]
medianY = sortedY[len(sortedY) // 2]
medianR = sortedR[len(sortedR) // 2]
drone.objectCenterX = medianX
drone.objectCenterY = medianY
cv2.circle(edges, (medianX, medianY), medianR, (255,255,255), 2)
cv2.circle(edges, (medianX, medianY), 2, (255,255,255), 2)
# print("Median edges circle center: " + str(medianX) + ", " + str(medianY) + " with radius " + str(medianR))
drone.sinceLastSphero = 0
drone.foundCircle = True
else:
# Fake a circle in the center if none found
drone.objectCenterX = drone.frameWidth >> 1
drone.objectCenterY = drone.frameHeight >> 1
drone.sinceLastSphero += 1
drone.foundCircle = False
else:
# Fake a circle in the center if none found
drone.objectCenterX = drone.frameWidth >> 1
drone.objectCenterY = drone.frameHeight >> 1
drone.foundCircle = False
# Find sphero using blobs
if drone.findSphero and not drone.foundCircle:
kernel = numpy.ones((5, 5), numpy.uint8)
edges = cv2.dilate(edges, kernel, iterations=1)
edges = cv2.erode(edges, kernel, iterations=1)
params = cv2.SimpleBlobDetector_Params()
# Filter by Circularity
# params.filterByCircularity = True
# params.minCircularity = 0.6
# Filter by Area.
# params.filterByArea = True
# params.minArea = 16
detector = cv2.SimpleBlobDetector_create(params)
keypoints = detector.detect(edges)
if keypoints is not None:
listX = []
listY = []
listR = []
for keypoint in keypoints:
# # draw the outer circle
# cv2.circle(edges, (i[0], i[1]), i[2], (255, 255, 255), 2)
# # draw the center of the circle
# cv2.circle(edges, (i[0], i[1]), 2, (255, 255, 255), 3)
# Save the centers and radii
# print point.pt[0]
listX.append(int(keypoint.pt[0]))
listY.append(int(keypoint.pt[1]))
listR.append(int(keypoint.size / 2))
# print("Edges circle center at: " + str(i[0]) + ", " + str(i[1]))
# print keypoint.pt
if len(listX) > 0 and len(listY) > 0 and len(listR) > 0:
# Sort the centers and radii and print/draw the median
sortedX = mergeSort(listX)
sortedY = mergeSort(listY)
sortedR = mergeSort(listR)
# print sortedX
medianX = sortedX[len(sortedX) // 2]
medianY = sortedY[len(sortedY) // 2]
medianR = sortedR[len(sortedR) // 2]
drone.objectCenterX = medianX
drone.objectCenterY = medianY
cv2.circle(edges, (medianX, medianY), medianR, (255,255,255), 2)
cv2.circle(edges, (medianX, medianY), 2, (255,255,255), 2)
# print("Median edges circle center: " + str(medianX) + ", " + str(medianY) + " with radius " + str(medianR))
drone.sinceLastSphero = 0
else:
# Fake a circle in the center if none found
drone.objectCenterX = drone.frameWidth >> 1
drone.objectCenterY = drone.frameHeight >> 1
drone.sinceLastSphero += 1
else:
# Fake a circle in the center if none found
drone.objectCenterX = drone.frameWidth >> 1
drone.objectCenterY = drone.frameHeight >> 1
drone.sinceLastSphero += 1
elif not drone.foundCircle:
# Fake a circle in the center if none found
drone.objectCenterX = drone.frameWidth >> 1
drone.objectCenterY = drone.frameHeight >> 1
drone.sinceLastSphero = 0
cnt += 1
cv2.imshow("Drone Video", frame)
# cv2.imshow("Motion Detection", frameDelta)
cv2.imshow("Threshold Edges", edges)
cv2.imshow("Threshold", thresh)
cv2.waitKey(1)
import random
import time
from mergeSort import mergeSort
f = open("mergeTime.text","w+")
total = 0
for n in range(10000,110000,10000):
print("The size of the array is %d" %n)
arr = [0]* n;
for i in range(n):
arr[i] = random.randint(0,10000)
start = time.clock()
mergeSort(arr)
seconds = time.clock() - start
print("The time for insertion Sort is : %f" %seconds)
total = total + seconds
seconds = str(seconds)
f.write(seconds+'\n')
f.close()
#This file is just to compile all the feature branches
from bubblesort import bubbleSort
from mergeSort import mergeSort
from quicksort import quickSort
testBubble = [3, 10, 40, 20, 30, 4, 1]
testMerge = [100, 5, 68, 3, 1, 10]
testQuick = [4, 15, 23, 1, 11, 22]
bubbleSort(testBubble)
print("Here is the the sorted array using bubble sort")
print(testBubble)
mergeSort(testMerge)
print("Here is the sorted array using Merge sort")
print(testMerge)
quickSort(testQuick, 0, len(testQuick) - 1)
print("Here is the sorted array using quick sort")
print(testQuick)
def main():
window.fill((255, 255, 255))
query = [random.randrange(20, 400) for i in range(100)]
c = [135, 206, 235]
start = 100
i = start
j = 0
while i < 1000 + start:
pygame.draw.line(window, c, (i, 500), (i, 500 - query[j]), 5)
j += 1
i += 10
pygame.display.update()
s = 80
quick = button(mnt, 10 + s, 520, 180, 50, "quickSort")
button.draw(quick, window)
merge = button(mnt, 210 + s, 520, 180, 50, "mergeSort")
button.draw(merge, window)
selection = button(mnt, 400 + s, 520, 200, 50, "selectionSort")
button.draw(selection, window)
insertion = button(mnt, 610 + s, 520, 200, 50, "insertionSort")
button.draw(insertion, window)
bubble = button(mnt, 820 + s, 520, 200, 50, "bubbleSort")
button.draw(bubble, window)
speed = Slider("Speed", 0.025, 0.05, 0, 630)
pygame.display.update()
pause = button(mnt, 450, 520, 160, 50, "start/stop")
run = True
while run:
for event in pygame.event.get():
if event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:
pos = pygame.mouse.get_pos()
if quick.isOver(pos):
clearinstruction(window, pause)
#message("illustrating ..quickSort",window)
quickSort(query, 0, 99, window, pause, speed, 0.025)
run = False
elif merge.isOver(pos):
clearinstruction(window, pause)
#message("illustrating ..mergeSort",window)
mergeSort(query, 0, 99, window, pause, speed)
run = False
elif selection.isOver(pos):
clearinstruction(
window,
pause) #message("illustrating ..selectionSort",window)
selectionSort(query, 0, 99, window, pause, speed)
run = False
elif insertion.isOver(pos):
clearinstruction(
window,
pause) #message("illustrating ..insertionSort",window)
insertionSort(query, 0, 99, window, pause, speed)
run = False
elif bubble.isOver(pos):
#message("illustrating ..bubbleSort",window)
clearinstruction(window, pause)
bubbleSort(query, window, pause, speed)
run = False
elif event.type == pygame.QUIT:
pygame.quit()
clearInstruction(window)
restart = button(mnt, 550, 520, 120, 50, "restart")
button.draw(restart, window)
pygame.display.update()
run = True
while run:
for event in pygame.event.get():
if event.type == pygame.QUIT:
run = False
break
if event.type == pygame.MOUSEBUTTONDOWN and event.button == 1 and restart.isOver(
pygame.mouse.get_pos()):
try:
main()
except:
pass
pygame.quit()
