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lab2_gui.py
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/
lab2_gui.py
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from lab2_backend import *
import tkinter as tk
from tkinter.scrolledtext import ScrolledText
from PIL import Image, ImageTk
class LabGUI(tk.Frame):
def __init__(self, parent):
tk.Frame.__init__(self, parent)
self.parent = parent
parent.geometry('1450x700+50+50')
parent.title('approximation')
self.init_input_filename()
self.init_label_filename()
self.init_x_leng()
self.init_choose_polynomial()
self.init_create_pads()
self.init_polynomial_degrees()
self.init_function_weight()
self.init_y_coord()
self.init_run_button()
self.init_default_checkbutton()
self.init_y_checkbutton()
self.init_all_labels()
self.init_output_label()
self.init_graph_canvas()
self.first_run = True
def init_label(self, text, column, row, columnspan=1, rowspan=1, height=1):
label = tk.Label(self.parent, text=text, height=height)
label.grid(column=column, row=row, columnspan=columnspan, rowspan=rowspan)
def init_variable_label(self, variable, column, row, columnspan=1, rowspan=1):
label = tk.Label(self.parent, textvariable=variable)
label.grid(column=column, row=row, columnspan=columnspan, rowspan=rowspan)
def init_entry(self, variable, text, column, row, columnspan=1, rowspan=1, width=4):
entry = tk.Entry(
self.parent, text=text,
textvariable=variable, width=width)
entry.grid(column=column, row=row, columnspan=columnspan, rowspan=rowspan, sticky=tk.W)
def init_label_with_entry(self, text, column, row, variable, columnspan=1, rowspan=1, entry_width=4):
self.init_label(text=text, column=column, row=row)
self.init_entry(text=text, column=column+1, row=row, variable=variable, width=entry_width)
def init_radiobutton(self, text, column, row, variable, value, columnspan=1):
rdbutton = tk.Radiobutton(self.parent, text=text, value=value, variable=variable)
rdbutton.grid(row=row, column=column, columnspan=columnspan, sticky=tk.W)
def init_pads(self, row=1, column=1, width=0, height=0):
label = tk.Frame(self.parent, width=width, height=height)
label.grid(column=column, row=row)
def init_button(self, text, column, row, width, height, columnspan=1, rowspan=1, command=None):
butt = tk.Button(self.parent, text=text, width=width, height=height, command=command)
butt.grid(column=column, row=row, columnspan=columnspan, rowspan=rowspan)
def init_checkbutton(self, text, column, row, columnspan=1, rowspan=1, variable=None):
butt = tk.Checkbutton(self.parent, text=text, variable=variable)
butt.grid(column=column, row=row, columnspan=columnspan, rowspan=rowspan)
#Buttons
def init_run_button(self):
self.init_button(
text = 'Розрахувати', width=10, height=1,
column=11, row=6, rowspan=2, columnspan=2,
command=self.run
)
def init_default_checkbutton(self):
self.default_data = tk.BooleanVar(value=True)
self.init_checkbutton(
text = 'Стандартні значення',
column=1, row=4,
variable=self.default_data
)
def init_y_checkbutton(self):
self.normalize_y = tk.BooleanVar(value=True)
self.init_checkbutton(
text = 'Нормалізувати y на графіку',
column=11, row=5,
variable=self.normalize_y
)
# Labels
def init_create_pads(self):
self.init_pads(column=2, width=35)
self.init_pads(column=5, width=35)
self.init_pads(column=7, width=20)
self.init_pads(column=10, width=35)
self.init_pads(row=7, height=30)
self.init_pads(row=9, height=8)
def init_all_labels(self):
self.init_label(text = 'Ваги цільових функцій', column=11, row=0, columnspan=1, rowspan=2)
self.init_label(text = 'Вибірка', column=0, row=0,columnspan=2, rowspan=2)
self.init_label(text = 'Вектори', column=3, row = 0, columnspan=2, rowspan=2)
self.init_label(text = 'Поліноми', column=6, row=0, columnspan=4, height=2)
self.init_label(text = 'Вид', column=6, row=1)
self.init_label(text = 'Степінь', column=8, row=1)
self.init_label(text = 'Результат', column=0, row=8, columnspan=6)
self.init_label(text = 'Графік', column=7, row=8, columnspan=6)
self.err_output = tk.StringVar(value='Значення похибки')
self.init_variable_label(variable=self.err_output, column=8, row=11, columnspan=6)
def init_output_label(self):
self.scrolled_text = ScrolledText(
master=self.parent, wrap='word', width=80, height=24, font=('TkDefaultFont', 11))
self.scrolled_text.grid(column=0, row=10, columnspan=7)
self.set_output_text('Натисніть на кнопку "Розрахувати"')
self.scrolled_text.config(state=tk.DISABLED)
def init_graph_canvas(self):
self.canvas_size = (700, 420)
self.graph_canvas = tk.Canvas(self.parent, bg="#fff", height=self.canvas_size[1], width=self.canvas_size[0])
self.graph_canvas.grid(column=8, row=10, columnspan=6, sticky=tk.NW)
# RadioButtons
def init_choose_polynomial(self):
self.polynomial_type = tk.StringVar(value='chebyshev_first')
self.init_radiobutton(text = 'Чебишева 1-го порядку', row=2, column=6, value='chebyshev_first', variable=self.polynomial_type)
self.init_radiobutton(text = 'Чебишева 2-го порядку', row=3, column=6, value='chebyshev_second', variable=self.polynomial_type)
self.init_radiobutton(text = 'Лежандра', row=4, column=6, value='legendre', variable=self.polynomial_type)
self.init_radiobutton(text = 'Лагерра', row=5, column=6, value='laguerre', variable=self.polynomial_type)
self.init_radiobutton(text = 'Ерміта', row=6, column=6, value='hermite', variable=self.polynomial_type)
def init_function_weight(self):
self.weight_average = tk.BooleanVar()
self.init_radiobutton(
text = 'Через максимум і мінімум', row=2, column=11, columnspan=2,
value=False, variable=self.weight_average)
self.init_radiobutton(
text = 'Середнє арифметичне', row=3, column=11, columnspan=2,
value=True, variable=self.weight_average)
# Labels with entries
def init_samples_length(self):
self.samples_length = tk.IntVar()
self.init_label_with_entry(
text='Розмір вибірки', column=0, row=2,
variable=self.samples_length)
def init_input_filename(self):
self.input_filename = tk.StringVar(value='features.txt')
self.init_label_with_entry(
text='Файл зі значеннями x', column=0, row=2,
variable=self.input_filename, entry_width=15)
def init_label_filename(self):
self.label_filename = tk.StringVar(value='labels.txt')
self.init_label_with_entry(
text='Файл зі значеннями y', column=0, row=3,
variable=self.label_filename, entry_width=15)
def init_x_leng(self):
self.x_leng_var = [tk.IntVar(value=def_value) for def_value in (3, 2, 2)]
for ind, var in enumerate(self.x_leng_var):
self.init_label_with_entry(
text='Розмірність x' + str(ind+1), column=3, row=ind+2,
variable=var)
def init_polynomial_degrees(self):
self.polynomial_degrees = [tk.IntVar(value=3) for _ in range(3)]
for ind, var in enumerate(self.polynomial_degrees):
self.init_label_with_entry(
text='Степінь x' + str(ind+1), column=8, row=ind+2,
variable=var)
def init_y_coord(self):
self.y_coord = tk.IntVar(value=1)
self.init_label_with_entry(
text='Координата y', column=11, row=4,
variable=self.y_coord)
def set_output_text(self, output):
self.scrolled_text.config(state=tk.NORMAL)
self.scrolled_text.delete(1.0, tk.END)
self.scrolled_text.insert(1.0, output)
self.scrolled_text.config(state=tk.DISABLED)
def update_graph(self):
self.graph_image = ImageTk.PhotoImage(
Image.open('graph.png').resize(self.canvas_size, Image.ANTIALIAS))
if self.first_run:
self.canvas_image = self.graph_canvas.create_image(
0, 0, image=self.graph_image, anchor='nw')
else:
self.graph_canvas.itemconfigure(self.canvas_image, image=self.graph_image)
def add_output(self, inp='', new_line=True):
self.output += str(inp)
if new_line: self.output += '\n'
def run(self):
self.output = ''
self.polynomial_var = {
'chebyshev_first': 'T',
'chebyshev_second': 'U',
'legendre': 'P',
'hermite': 'H',
'laguerre': 'L'
}.get(self.polynomial_type.get())
feature_lengths = ()
if self.default_data.get():
data = default_input()
feature_lengths = (3, 2, 2)
else:
data = read_input_from_file(self.input_filename.get(), self.label_filename.get())
feature_lengths = [length.get() for length in self.x_leng_var]
feature_ranges = get_ranges(feature_lengths)
feature_amount = len(feature_lengths)
polynomial_degree_values = np.array([polynomial_degree.get() for polynomial_degree in self.polynomial_degrees])
x, y = data
y_variable = y[:, self.y_coord.get() - 1]
x = normalize_data(x)
print(y_variable[:10])
y_variable, norm_values = normalize_data(y_variable, min_max_data = True)
b = np.empty(y.shape[0], dtype=np.float32)
if self.weight_average: b = y.mean(axis=1)
else: b = (y.min(axis=1) + y.max(axis=1)) / 2
A_full = create_equation_matrix_simult(
x, polynomial_type=self.polynomial_type.get(),
polynomial_degrees=polynomial_degree_values,
feature_lengths=feature_lengths)
lambda_matrix_full = np.linalg.lstsq(A_full, b)[0]
err = np.max(np.abs(A_full @ lambda_matrix_full - b))
while err > 0.4:
change = False
for i in range(3):
new_polynomial_degree_values = polynomial_degree_values.copy()
new_polynomial_degree_values[i] += 1
A_full = create_equation_matrix_simult(
x, polynomial_type=self.polynomial_type.get(),
polynomial_degrees=new_polynomial_degree_values,
feature_lengths=feature_lengths)
lambda_matrix_full = np.linalg.lstsq(A_full, b)[0]
err_new = np.max(np.abs(A_full @ lambda_matrix_full - b))
if (err - err_new) / err > 0.05:
polynomial_degree_values = new_polynomial_degree_values
err = err_new
change = True
if not change: break
for polynomial_degree, value in zip(self.polynomial_degrees, polynomial_degree_values):
polynomial_degree.set(value)
A_full = create_equation_matrix_simult(
x, polynomial_type=self.polynomial_type.get(),
polynomial_degrees=polynomial_degree_values,
feature_lengths=feature_lengths)
lambda_matrix_full = np.linalg.lstsq(A_full, b)[0]
save_graph(b, np.dot(A_full, lambda_matrix_full.T))
self.update_graph()
new_output = print_equation_3(
coeff_matrix=lambda_matrix_full, lengths=feature_lengths, degrees=polynomial_degree_values,
coeff_name='λ', function_name='ψ', var_name=self.polynomial_var)
self.add_output(new_output)
phi_values_full = []
row_ind = 0
for feature_ind, (feature_length, polynomial_degree) in enumerate(zip(feature_lengths, polynomial_degree_values)):
phi_values = []
for variable_ind in range(feature_length):
A_part = A_full[:, row_ind: row_ind + polynomial_degree]
lambda_part = lambda_matrix_full[row_ind: row_ind + polynomial_degree]
row_ind = row_ind + polynomial_degree
phi_values.append(np.dot(A_part, lambda_part))
phi_values = np.array(phi_values).T
phi_values_full.append(phi_values)
a_matrixes = [np.linalg.lstsq(phi_values, y_variable)[0] for phi_values in phi_values_full]
new_output = print_equation_2(coeff_matrixes=a_matrixes, target_ind=self.y_coord.get())
self.add_output(new_output)
new_output = output_diff(A=phi_values_full, b=y_variable, coeff=a_matrixes, on_array=True)
self.add_output(new_output)
F_values = np.array([phi_values @ a_matrix.T for phi_values, a_matrix in zip(phi_values_full, a_matrixes)]).T
c_matrix = np.linalg.lstsq(F_values, y_variable)[0]
new_output = print_equation_1(coeff_matrix=c_matrix, target_ind=self.y_coord.get())
self.add_output(new_output)
new_output = output_diff(A=F_values, b=y_variable, coeff=c_matrix)
self.add_output(new_output)
#approx_values = F_values @ c_matrix.T
lambda_matrix_y = np.linalg.lstsq(A_full, y_variable)[0]
approx_values = np.dot(A_full, lambda_matrix_y.T)
if not self.normalize_y.get():
y_variable = denormalize_data(y_variable, norm_values)
print(y_variable[:10])
approx_values = denormalize_data(approx_values, norm_values)
save_graph(y_variable, approx_values)
self.update_graph()
err_value = np.max(np.abs(y_variable - approx_values))
self.err_output.set('Значення похибки: {0:.5}'.format(err_value))
self.set_output_text(self.output)
if self.first_run: self.first_run = False