diff --git a/src/scgenerator/examples/dudley2006.py b/src/scgenerator/examples/dudley2006.py
index 8d91ab3..27bbe4c 100644
--- a/src/scgenerator/examples/dudley2006.py
+++ b/src/scgenerator/examples/dudley2006.py
@@ -1,8 +1,6 @@
 import click
-import colorcet as cc
 import matplotlib.pyplot as plt
 import numpy as np
-from plotapp import PlotApp
 
 import scgenerator as sc
 
@@ -45,32 +43,11 @@ def compute_manual(save: bool):
     beta_op = sc.operators.constant_polynomial_dispersion(params.beta2_coefficients, w_c)
     linear = sc.operators.envelope_linear_operator(
         beta_op,
-        # sc.operators.constant_quantity(0),
         sc.operators.constant_quantity(0),
     )
-    # with PlotApp() as app:
-    #     o = np.argsort(p.l)
-    #     sax = app["spectrum"]
-    #     sax.set_line_data("beta2", p.l[o], beta_op(0)[o].imag)
-    # return
-
-    # spm = sc.operators.envelope_spm(0)
-    # plt.plot(p.l, sc.abs2(p.spec_0))
-    # plt.plot(p.l, sc.abs2(np.fft.fft(spm(np.fft.ifft(p.spec_0), 0))), ls=":")
-    # plt.xlim(100e-9, 1500e-9)
-    # plt.show()
-    # return
-
-    # nonlinear = sc.operators.envelope_nonlinear_operator(
-    #     gamma_op=sc.operators.constant_quantity(params.gamma),
-    #     ss_op=sc.operators.constant_quantity(w_c / w0),
-    #     spm_op=sc.operators.envelope_spm(0),
-    #     raman_op=sc.operators.no_op_time(params.t_num),
-    # )
-
     hr_w = params.compute("hr_w")
 
-    def nonlinear(spec, z):
+    def nonlinear(spec, _):
         field = np.fft.ifft(spec)
         field2 = sc.abs2(field)
         fr = 0.18
@@ -86,7 +63,7 @@ def compute_manual(save: bool):
     w_power_fact = np.array(
         [sc.math.power_fact(w_c[above0], k) for k in range(2, len(p.beta2_coefficients) + 2)]
     )
-    for i, wn in reversed(list(enumerate(w_power_fact))):
+    for i, _ in reversed(list(enumerate(w_power_fact))):
         print(i, p.beta2_coefficients[i])
         linear_arr[above0] += p.beta2_coefficients[i] * sc.math.power_fact(w_c[above0], i + 2)
     linear_arr *= -1j