diff --git a/test.py b/test.py
deleted file mode 100644
index 136de2a805323e4d3930cfb528282af4ad78c4e6..0000000000000000000000000000000000000000
--- a/test.py
+++ /dev/null
@@ -1,91 +0,0 @@
-from ohmpi import OhmPi
-import matplotlib.pyplot as plt
-import numpy as np
-
-a = np.arange(13) + 49
-b = a + 3
-m = a + 1
-n = a + 2
-seq = np.c_[a, b, m, n]
-
-k = OhmPi(idps=False)
-k.settings['injection_duration'] = 1
-k.settings['nb_stack'] = 1
-k.settings['nbr_meas'] = 1
-k.sequence = seq
-k.reset_mux()
-# k.sequence = np.array([[1,4,2,3]])
-k.run_sequence()
-#k.measure(strategy='vmax')
-#print('vab', k.compute_tx_volt(strategy='vmin'))
-#k.rs_check()
-#out = k.run_measurement(quad=[3, 3, 3, 3], nb_stack=1, tx_volt=12, strategy='constant', autogain=True)
-
-#k.rs_check(tx_volt=12)
-
-# x = []
-#for i in range(3):
-#    out = k.run_measurement(injection_duration=2, nb_stack=2, strategy='constant', tx_volt=5, autogain=False)
-    #x.append(out['R [ohm]'])
-    #k.append_and_save('out.csv', out)
-
-data = out['fulldata']
-inan = ~np.isnan(data[:,0])
-
-if True:
-    fig, axs = plt.subplots(2, 1, sharex=True)
-    ax = axs[0]
-    ax.plot(data[inan,2], data[inan,0], 'r.-', label='current [mA]')
-    ax.set_ylabel('Current AB [mA]')
-    ax = axs[1]
-    ax.plot(data[inan,2], data[inan,1], '.-', label='voltage [mV]')
-    ax.set_ylabel('Voltage MN [mV]')
-    ax.set_xlabel('Time [s]')
-    plt.show()
-    
-#     fig,ax=plt.subplots()
-#     
-#    
-#     ax.plot(data[inan,2], data[inan,0],  label='current [mA]', marker="o")
-#     ax2=ax.twinx()
-#     ax2.plot(data[inan,2], data[inan,1],'r.-' , label='current [mV]')
-#     ax2.set_ylabel('Voltage [mV]', color='r')
-#     ymin=-50
-#     ymax=50
-#     ymin1=-4500
-#     ymax1= 4500
-#     ax.set_ylim([ymin,ymax])
-#     ax2.set_ylim([ymin1,ymax1])
-#     
-#     plt.show()
-    
-
-
-if False:
-    from numpy.fft import fft, ifft
-
-    x = data[inan, 1][10:300]
-    t = np.linspace(0, len(x)*4, len(x))
-    sr = 1/0.004
-
-    X = fft(x)
-    N = len(X)
-    n = np.arange(N)
-    T = N/sr
-    freq = n/T 
-
-    plt.figure(figsize = (12, 6))
-    plt.subplot(121)
-
-    plt.stem(freq, np.abs(X), 'b', \
-             markerfmt=" ", basefmt="-b")
-    plt.xlabel('Freq (Hz)')
-    plt.ylabel('FFT Amplitude |X(freq)|')
-    #plt.xlim(0, 10)
-
-    plt.subplot(122)
-    plt.plot(t, ifft(X), 'r')
-    plt.xlabel('Time (s)')
-    plt.ylabel('Amplitude')
-    plt.tight_layout()
-    plt.show()