Update app.py

app.py

@@ -39,7 +39,7 @@ def calculate_fourier_coefficients(xs, ys, num_points, coefficients):
     N = coefficients
     indices = [0] + [j for i in range(1, N + 1) for j in (i, -i)]
     with ThreadPoolExecutor(max_workers=8) as executor:
-        coefs = list(executor.map(lambda n: compute_cn(f_precomputed, n, t_values), indices))
+        coefs = list(executor.map(lambda n: (compute_cn(f_precomputed, n, t_values), n), indices))
     
     return coefs
 
@@ -81,9 +81,10 @@ def animate(frame, coefs, time, fig, ax, background, circles, circle_lines, draw
     ax.draw_artist(drawing)
 
     fig.canvas.blit(ax.bbox)
-
+    
 def generate_animation(frames, coefs, img_size, desired_range, theta_points, coefficients):
     fig, ax, background, circles, circle_lines, drawing = setup_animation_env(img_size, desired_range, coefficients)
+    print(coefs)
     coefs_static = [(np.linalg.norm(c), fr) for c, fr in coefs]
     time = np.linspace(0, 1, num=frames)
     theta = np.linspace(0, tau, theta_points)
@@ -92,7 +93,7 @@ def generate_animation(frames, coefs, img_size, desired_range, theta_points, coe
     anim = animation.FuncAnimation(fig, animate, frames=frames, interval=5, fargs=(coefs, time, fig, ax, background, circles, circle_lines, drawing, draw_x, draw_y, coefs_static, theta))
 
     return anim
-
+    
 def fourier_transform_drawing(input_image, frames, coefficients, img_size, blur_kernel_size, desired_range, num_points, theta_points):
     xs, ys = process_image(input_image, img_size, blur_kernel_size, desired_range)
     coefs = calculate_fourier_coefficients(xs, ys, num_points, coefficients)