diff --git a/generalTests.py b/generalTests.py
index 50900fd..452662e 100644
--- a/generalTests.py
+++ b/generalTests.py
@@ -3,52 +3,7 @@ import matplotlib.pyplot as plt
 from models.LeakyIntegrateFireModel import LIFModel
 
 
-# def calculate_step(current_v, tau, i_b, step_size=0.01):
-    # return current_v + (step_size * (-current_v + mem_res * i_b)) / tau
-
-def function_e(x):
-    return (0-15) * np.e**(-x/1) + 15
-
-# x_values = np.arange(0, 5, 0.01)
-# plt.plot(x_values, [function_e(x) for x in x_values])
-# plt.show()
-
-
-# def function_f(i_base, tau=1, threshold=10, reset=0):
-#     return -1/(tau*np.log((threshold-i_base)/(reset - i_base)))
-#
-# x_values = np.arange(0, 20, 0.001)
-# plt.plot(x_values, [function_f(x) for x in x_values])
-# plt.show()
-
-
-# LIF test:
-# Rm = 100 MOhm, Cm = 200pF
-step_size = 0.01  # ms
-mem_res = 100*1000000
-tau = 1
-base_freq = 30
-v_threshold = 10
-base_input = -(- v_threshold / (np.e**(-1/(base_freq*tau))) + 1) / mem_res
-
-stim1 = int(1000/step_size) * [base_input]
-
-stimulus = []
-stimulus.extend(stim1)
-
-lif = LIFModel(mem_res, tau, 0, 0, stimulus, 10)
-
-voltage, spikes_b = lif.calculate_response()
-y_spikes = []
-x_spikes = []
-for i in range(len(spikes_b)):
-    if spikes_b[i]:
-        y_spikes.append(10.5)
-        x_spikes.append(i*step_size)
-
-time = np.arange(0, 1000, step_size)
-plt.plot(time, voltage)
-plt.plot(x_spikes, y_spikes, 'o')
-plt.show()
-plt.close()
+g = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
+print(g[3:])
+print(g[:-3])