function = numpy.poly1d([0.16, -1.57, 4.38, -1.15, -6.29, 0.15])
print(f"Patikrintos x reikšmės {function.roots}")
# function = b_part
# function = resistance_task
# test = function(-0.0001)
# print(test)
derivative = function.deriv()
# derivative = b_part_derivative
# derivative = None
alpha = -10
max_iterations = 1000
precision = 1e20
eps = 1e-4
window = Window(title='Skaitmeniniai algoritmai 12 vr.', size='1250x630')
# function_x_values = numpy.arange(-2, 1, 0.0001)
# function_x_values = numpy.arange(-1, 1, 0.001) # g(x)
function_x_values = numpy.arange(-3.504, 28.375, 0.001) # f(x)
function_y_values = [function(x) for x in function_x_values]
graph = Graph(start_x=function_x_values[0], end_x=function_x_values[-1], frame=window.get_graph_frame())
graph.add_toolbar()
# graph.show_function(function_x_values, function_y_values, 'b', 'f(x)')
methods = NumericalMethod(precision, eps, alpha, max_iterations, function,
derivative, function_x_values, graph)
window.add_buttons(methods)
window.start()
