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Calculate the time complexity of this program code in each line, especially in the merge sort process, the total, and how the Big O notation

Calculate the time complexity of this program code in each line, especially in the merge sort process, the total, and how the Big O notation is in the end. Give an explanation of the time complexity of each line, why it has that time complexity, and the summation flow of the time complexity until it ends up having the Big O that you got.
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QComboBox, QPushButton, QTableWidget, QTableWidgetItem, QVBoxLayout, QWidget
from PyQt5.QtCore import Qt
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("Merge Sort GUI")
self.central_widget = QWidget()
self.setCentralWidget(self.central_widget)
self.layout = QVBoxLayout()
self.central_widget.setLayout(self.layout)
# Combo box for sorting options
self.sort_combo = QComboBox()
self.sort_combo.addItems(["ID", "Name", "GPA"])
self.layout.addWidget(self.sort_combo)
# Combo box for grouping by angkatan
self.group_combo = QComboBox()
self.group_combo.addItems(["All Generations"]+[str(year) for year in range(2016,2024)])
self.layout.addWidget(self.group_combo)
# Button to perform sorting
self.sort_button = QPushButton("Sort")
self.sort_button.clicked.connect(self.perform_sort)
self.layout.addWidget(self.sort_button)
# Table to display sorted data
self.table = QTableWidget()
self.layout.addWidget(self.table)
def merge_sort(self, arr, key):
if len(arr)<=1: #O(1)
return arr
mid = len(arr)//2
left_half = arr[:mid]
right_half = arr[mid:]
left_half = self.merge_sort(left_half, key)
right_half = self.merge_sort(right_half, key)
return self.merge(left_half, right_half, key)
def merge(self, left, right, key):
result =[]
left_index, right_index =0,0
while left_index < len(left) and right_index < len(right):
if key =="ID":
left_val = left[left_index][0]
right_val = right[right_index][0]
elif key == "Name":
left_val = left[left_index][1]
right_val = right[right_index][1]
elif key == "GPA":
right_val = left[left_index][2] #Descending
left_val = right[right_index][2]
if left_val < right_val:
result.append(left[left_index])
left_index +=1
else:
result.append(right[right_index])
right_index +=1
while left_index < len(left):
result.append(left[left_index])
left_index +=1
while right_index < len(right):
result.append(right[right_index])
right_index +=1
return result
def perform_sort(self):
key = self.sort_combo.currentText()
group_option = self.group_combo.currentText()
if group_option == "All Generations":
filtered_data = self.load_student_data()
else:
angkatan = int(group_option)
filtered_data =[student for student in self.load_student_data() if int(student[0][2:4])== angkatan %2000]
# Sort data
sorted_data = self.merge_sort(filtered_data, key)
# Display sorted data in table
self.display_data(sorted_data)
def display_data(self, data):
self.table.setRowCount(len(data))
self.table.setColumnCount(3)
self.table.setHorizontalHeaderLabels(["ID", "Name", "GPA"])
for row, (nim, nama, ipk) in enumerate(data):
nim_item = QTableWidgetItem(str(nim))
nim_item.setTextAlignment(Qt.AlignCenter)
self.table.setItem(row,0, nim_item)
self.table.setItem(row,1, QTableWidgetItem(nama))
ipk_item = QTableWidgetItem(str(ipk))
ipk_item.setTextAlignment(Qt.AlignCenter)
self.table.setItem(row,2, ipk_item)
# Resize the columns to fit content
self.table.resizeColumnsToContents()
def load_student_data(self):
try:
with open("student_data.txt","r") as file:
lines = file.readlines()
student_data =[tuple(line.strip().split(",")) for line in lines]
return student_data
except FileNotFoundError:
print("File not found.")
return []
if __name__=="__main__":
app = QApplication(sys.argv)
window = MainWindow()
window.setGeometry(100,100,600,400)
window.show()
sys.exit(app.exec_())

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