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NonPreemptive.py
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NonPreemptive.py
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import random
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QTableWidgetItem
from matplotlib import pyplot as plt
from matplotlib.backends.backend_template import FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
class NonPreemptive:
def processData(self, mainWindow):
process_data = []
global originalWindow
originalWindow = mainWindow
for i in range(0, mainWindow.processTable.rowCount()):
temporary = []
process_id = i
arrival_time = mainWindow.processTable.item(i, 1).text()
burst_time = mainWindow.processTable.item(i, 2).text()
temporary.extend([int(process_id), int(arrival_time), int(burst_time), 0])
'''
'0' is the state of the process. 0 means not executed and 1 means execution complete
'''
process_data.append(temporary)
NonPreemptive.schedulingProcess(self, process_data)
def schedulingProcess(self, process_data):
start_time = []
exit_time = []
s_time = 0
sequence_of_process = []
process_data.sort(key=lambda x: x[1])
'''
Sort processes according to the Arrival Time
'''
for i in range(len(process_data)):
ready_queue = []
temp = []
normal_queue = []
for j in range(len(process_data)):
if (process_data[j][1] <= s_time) and (process_data[j][3] == 0):
temp.extend([process_data[j][0], process_data[j][1], process_data[j][2]])
ready_queue.append(temp)
temp = []
elif process_data[j][3] == 0:
temp.extend([process_data[j][0], process_data[j][1], process_data[j][2]])
normal_queue.append(temp)
temp = []
if len(ready_queue) != 0:
ready_queue.sort(key=lambda x: x[2])
'''
Sort the processes according to the Burst Time
'''
start_time.append(s_time)
s_time = s_time + ready_queue[0][2]
e_time = s_time
exit_time.append(e_time)
sequence_of_process.append(ready_queue[0][0])
for k in range(len(process_data)):
if process_data[k][0] == ready_queue[0][0]:
'''print(process_data[k][0]+1, 'Start IN ' , s_time,' End In ', s_time)
print(start_time)'''
break
process_data[k][3] = 1
process_data[k].append(e_time)
elif len(ready_queue) == 0:
if s_time < normal_queue[0][1]:
s_time = normal_queue[0][1]
start_time.append(s_time)
s_time = s_time + normal_queue[0][2]
e_time = s_time
exit_time.append(e_time)
sequence_of_process.append(normal_queue[0][0])
for k in range(len(process_data)):
if process_data[k][0] == normal_queue[0][0]:
break
process_data[k][3] = 1
process_data[k].append(e_time)
t_time = NonPreemptive.calculateTurnaroundTime(self, process_data)
w_time = NonPreemptive.calculateWaitingTime(self, process_data)
NonPreemptive.printData(self, process_data, t_time, w_time,sequence_of_process,start_time,exit_time)
def calculateTurnaroundTime(self, process_data):
total_turnaround_time = 0
for i in range(len(process_data)):
turnaround_time = process_data[i][4] - process_data[i][1]
'''
turnaround_time = completion_time - arrival_time
'''
total_turnaround_time = total_turnaround_time + turnaround_time
process_data[i].append(turnaround_time)
average_turnaround_time = total_turnaround_time / len(process_data)
'''
average_turnaround_time = total_turnaround_time / no_of_processes
'''
return average_turnaround_time
def calculateWaitingTime(self, process_data):
total_waiting_time = 0
for i in range(len(process_data)):
waiting_time = process_data[i][5] - process_data[i][2]
'''
waiting_time = turnaround_time - burst_time
'''
total_waiting_time = total_waiting_time + waiting_time
process_data[i].append(waiting_time)
average_waiting_time = total_waiting_time / len(process_data)
'''
average_waiting_time = total_waiting_time / no_of_processes
'''
return average_waiting_time
def printData(self, process_data, average_turnaround_time, average_waiting_time,sequence_of_process,start_time,exit_time):
process_data.sort(key=lambda x: x[0])
'''
Sort processes according to the Process ID
'''
#print("Process_ID Arrival_Time Burst_Time Completed Completion_Time Turnaround_Time Waiting_Time")
processIDs = [0] * originalWindow.processTable.rowCount()
originalWindow.gnt.cla()
originalWindow.gnt.grid(True)
for i in range(len(process_data)):
for j in range(len(process_data[i])):
#print(process_data[i][j], end=" ")
if (j == 0):
processIDs[i] = process_data[i][j]
print(start_time)
originalWindow.gnt.broken_barh([(start_time[i], exit_time[i] - start_time[i])],
(process_data[i][0] * 10, 10),
facecolors=('tab:' + originalWindow.colorsChart[
random.randrange(len(originalWindow.colorsChart))]))
if (j == 4):
item2 = QTableWidgetItem()
item2.setTextAlignment(Qt.AlignCenter)
item2.setData(Qt.EditRole, process_data[i][j])
originalWindow.processTable.setItem(i, 3, item2)
if (j == 5):
item2 = QTableWidgetItem()
item2.setTextAlignment(Qt.AlignCenter)
item2.setData(Qt.EditRole, process_data[i][j])
originalWindow.processTable.setItem(i, 4, item2)
if (j == 6):
item2 = QTableWidgetItem()
item2.setTextAlignment(Qt.AlignCenter)
item2.setData(Qt.EditRole, process_data[i][j])
originalWindow.processTable.setItem(i, 5, item2)
print()
print(f'Average Turnaround Time: {average_turnaround_time}')
print(f'Average Waiting Time: {average_waiting_time}')
#print('Process Sequence',sequence_of_process)
originalWindow.drawChartAverage(average_turnaround_time, average_waiting_time)
yTicksArray = [i * 10 for i in processIDs]
originalWindow.gnt.set_yticks(yTicksArray)
processIDsIncreased = [i + 1 for i in processIDs]
originalWindow.gnt.set_yticklabels(processIDsIncreased)
originalWindow.canvas = FigureCanvas(originalWindow.figure)
originalWindow.toolbar = NavigationToolbar(originalWindow.canvas, originalWindow)
for i in reversed(range(originalWindow.plotBox.count())):
originalWindow.plotBox.itemAt(i).widget().setParent(None)
originalWindow.plotBox.addWidget(originalWindow.toolbar)
originalWindow.plotBox.addWidget(originalWindow.canvas)