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test_io_novelSet.py
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from mod_software.SI import si
import numpy as np
import time
import h5py
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.stats import linregress
import os
from datetime import datetime
ADCfclk = 2000000 # 2000000
obj = si(Rshunt=100000, ADCspeed=ADCfclk) # 14000 , 47000, , electrode11='in'
Rshunt = obj.Rshunt
num_sweeps = 6
# #################################
now = datetime.now()
real_d_string = now.strftime("%d_%m_%Y")
d_string = now.strftime("%Y_%m_%d")
print("Date:", real_d_string)
print("Date:", d_string)
t_string = now.strftime("%H_%M_%S")
print("Time Stamp:", t_string, "\n\n")
types = 'sweepto'
#types = 'zeroed'
p = 1
OP = 4 # 4
numS = 60 # 30
#test_label = 'IO_sweep_%s__p%s_Op%d' % (type,p,OP)
test_label = 'PKs_mnt_%s__p%s_Op%d' % (types,p,OP)
#test_label = 'CustomDRN_%s__Op%d' % (type,OP)
save_dir = "Results/%s/%s_%s" % (d_string, t_string, test_label)
os.makedirs(save_dir)
# ################################
interval = 0.025 # 0.05 # DAC-QE~0.0005, ADC-QE~0.002V
x1_max = 9 # 3.5, 3
Vin = np.arange(-x1_max, x1_max+interval, interval) # neg to pos
Vin = np.arange(0, x1_max+interval, interval) # zero to pos
#Vin = np.arange(-x1_max, 0+interval, interval) # neg to zero
#Vin = np.arange(0, 3+interval, interval) # x1_max
direction = 'forward_single' # forward, backward, random
if direction == 'forward' :
Vin_sweep = np.concatenate((Vin, np.flip(Vin)))
elif direction == 'backward' :
Vin_sweep = np.concatenate((np.flip(Vin), Vin))
elif direction == 'random':
Vin_sweep = np.random.uniform(-x1_max, x1_max, 800)
elif direction == 'forward_single':
Vin_sweep = Vin
elif direction == 'backward_single':
Vin_sweep = np.flip(Vin)
print("Num write/reads:", num_sweeps*len(Vin_sweep))
obj.ElectrodeState()
input("Press Enter to start sweeps... ")
sweep_Vin = []
sweep_Vout = []
sweep_Iout = []
sweep_dV = []
sweep_Vdac = []
sweep_Vadc = []
sweep_bit_values = []
All_Vin = []
All_Vout = []
All_dV = []
All_Vadc = []
All_Iout = []
All_bit_values = []
time_list = []
tref = time.time()
pbar = tqdm(total=num_sweeps*len(Vin_sweep))
for sweep in range(num_sweeps):
Vins = []
Vouts = []
dVs = []
Iouts = []
Vdacs = []
Vadcs = []
ADC_bit_values = []
for v in Vin_sweep:
v = np.round(v,3)
# Vdac = obj.SetVoltage(electrode=p, voltage=v)
Vdac = obj.SetV(electrode=p, voltage=v, type=types)
#time.sleep(2)
# op = obj.ReadVoltage(OP, debug=0) # ch0, pin3, op1
Iop, Vop, Vadc, adc_bit_value = obj.ReadIV(OP, ret_type=1, nSamples=numS) # more samples gives a better/smoother average
Vins.append(v)
Vouts.append(Vop)
dVs.append(v-Vop)
Iouts.append(Iop)
Vdacs.append(Vdac)
Vadcs.append(Vadc)
ADC_bit_values.append(adc_bit_value)
All_Vin.append(v)
All_Vout.append(Vop)
All_dV.append(v-Vop)
All_Vadc.append(Vadc)
All_Iout.append(Iop)
All_bit_values.append(adc_bit_value)
time_list.append(time.time()-tref)
# print("Vin=", v, " Vout=", Vop, ", I=", Iop)
#input("Press Enter to move to next input V")
pbar.set_description("%d/%d | Vi=%.3f, Vo=%.3f, Io=%s" % (sweep+1, num_sweeps, v, Vop, str(Iop)))
pbar.update(1)
sweep_Vin.append(Vins)
sweep_Vout.append(Vouts)
sweep_dV.append(dVs)
sweep_Iout.append(Iouts)
sweep_Vdac.append(Vdacs)
sweep_Vadc.append(Vadcs)
sweep_bit_values.append(ADC_bit_values)
pbar.close()
t_read = time.time()-tref
obj.fin()
print("Time to do all readings = %f" % (t_read))
print("Instance set/read rate = %f" % (num_sweeps*len(Vin_sweep)/t_read))
# save data
location = "%s/data.hdf5" % (save_dir)
with h5py.File(location, 'a') as hdf:
G_sub = hdf.create_group("IO")
for s in range(num_sweeps):
G_subsub = G_sub.create_group("sweep_%d" % (s))
G_subsub.create_dataset('Vin', data=sweep_Vin[s])
G_subsub.create_dataset('Vout', data=sweep_Vout[s])
G_subsub.create_dataset('dV', data=sweep_dV[s])
G_subsub.create_dataset('Iout', data=sweep_Iout[s])
G_subsub.create_dataset('Vdac', data=sweep_Vdac[s])
G_subsub.create_dataset('Vadc', data=sweep_Vadc[s])
G_subsub.create_dataset('ADC_bit_values', data=sweep_bit_values[s])
#
figI = plt.figure()
R_slopes = []
for s in range(num_sweeps):
if Rshunt == 'none':
Rm = np.nan
else:
reg = linregress(x=sweep_dV[s], y=sweep_Iout[s])
Rm = 1/reg.slope
print("Sweep %d, Rmaterial ~ %.1f" % (s,Rm))
R_slopes.append(Rm)
plt.plot(sweep_dV[s], sweep_Iout[s], label=('sweep %d, R=%.1f' % (s, Rm)))
plt.legend()
plt.xlabel('dV')
plt.ylabel('Iout')
plt.ticklabel_format(axis='y', style='sci', scilimits=(0,0))
plt.title('Voltage drop against current\nMean R=%.2f' % (np.mean(R_slopes)))
fig_path = "%s/FIG_Vd_vs_Iout.png" % (save_dir)
figI.savefig(fig_path, dpi=200)
plt.close(figI)
#
"""
figI = plt.figure()
for s in range(num_sweeps):
plt.plot(sweep_Vout[s], sweep_Iout[s], label=('sweep %d' % (s)))
plt.legend()
plt.xlabel('Vout')
plt.ylabel('Iout')
plt.title('Output Voltage against current')
plt.ticklabel_format(axis='y', style='sci', scilimits=(0,0))
fig_path = "%s/FIG_Vout_Iout.png" % (save_dir)
figI.savefig(fig_path, dpi=200)
plt.close(figI)
"""
#
markers = ['x', '*', 'o', '^', 'd']
figV = plt.figure()
for s in range(num_sweeps):
if direction == 'random':
plt.scatter(sweep_Vin[s], sweep_Vout[s], marker=markers[s], label=('sweep %d' % (s)))
else:
plt.plot(sweep_Vin[s], sweep_Vout[s], label=('sweep %d' % (s)))
plt.legend()
plt.xlabel('Vin')
plt.ylabel('Vout')
plt.title('Voltage Sweep\n(Interval= %s, Sample Size=%d, type=%s)' % (str(interval), numS, direction))
fig_path = "%s/FIG_Vin_vs_Vout.png" % (save_dir)
figV.savefig(fig_path, dpi=200)
# plt.close(figV)
#
figV = plt.figure()
for s in range(num_sweeps):
if direction == 'random':
plt.scatter(sweep_Vin[s], sweep_bit_values[s], marker=markers[s], label=('sweep %d' % (s)))
else:
plt.plot(sweep_Vin[s], sweep_bit_values[s], label=('sweep %d' % (s)))
plt.legend()
plt.grid()
plt.xlabel('Vin')
plt.ylabel('ADC Bits value')
plt.title('Voltage Sweep (Interval= %s)' % (str(interval)))
fig_path = "%s/FIG_Vin_vs_ADCbits.png" % (save_dir)
figV.savefig(fig_path, dpi=200)
plt.close(figV)
#
if direction != 'random':
figV2 = plt.figure()
plt.plot(All_Vout)
plt.xlabel('Instance')
plt.ylabel('Vout')
plt.title('Triangle wave sweep')
fig_path = "%s/FIG_Vout_continuous.png" % (save_dir)
figV2.savefig(fig_path, dpi=200)
plt.close(figV2)
#
if direction != 'random':
figV3 = plt.figure()
plt.plot(time_list, All_Vout)
plt.xlabel('Time')
plt.ylabel('Vout')
plt.title('Electrode voltage for a Triangle wave sweep')
fig_path = "%s/FIG_TRI_Vout_vs_time.png" % (save_dir)
figV3.savefig(fig_path, dpi=200)
plt.close(figV3)
#
figV4 = plt.figure()
plt.plot(All_bit_values)
plt.xlabel('Instance')
plt.ylabel('ADC bit value')
plt.title('Electrode voltage for a Triangle wave sweep\nInstance set/read rate = %f' % (num_sweeps*len(Vin_sweep)/t_read))
fig_path = "%s/FIG_TRI_ADCbits.png" % (save_dir)
figV4.savefig(fig_path, dpi=200)
plt.close(figV4)
#
if direction != 'random':
figVadc = plt.figure()
plt.plot(time_list, All_Vadc)
plt.xlabel('Time')
plt.ylabel('Vadc')
plt.title('Vadc output for a Triangle wave sweep')
fig_path = "%s/FIG_TRI_Vadc_vs_time.png" % (save_dir)
figVadc.savefig(fig_path, dpi=200)
plt.close(figVadc)
#
#
fig = plt.figure()
for s in range(num_sweeps):
if direction == 'random':
plt.scatter(sweep_Vdac[s], sweep_Vadc[s], marker=markers[s], label=('sweep %d' % (s)))
else:
plt.plot(sweep_Vdac[s], sweep_Vadc[s], label=('sweep %d' % (s)))
plt.legend()
plt.xlabel('Vdac')
plt.ylabel('Vadc')
plt.title('Real hardware values')
fig_path = "%s/FIG_Vdac_vs_Vadc.png" % (save_dir)
fig.savefig(fig_path, dpi=200)
plt.close(fig)
fig = plt.figure()
for s in range(num_sweeps):
if direction == 'random':
plt.scatter(sweep_Vin[s], sweep_Vdac[s], marker=markers[s], label=('sweep %d' % (s)))
else:
plt.plot(sweep_Vin[s], sweep_Vdac[s], label=('sweep %d' % (s)))
plt.legend()
plt.xlabel('Vin')
plt.ylabel('Vdac')
plt.title('Set voltage is translated to a hardware DAC voltage')
fig_path = "%s/FIG_Vin_vs_Vdac.png" % (save_dir)
fig.savefig(fig_path, dpi=200)
plt.close(fig)
fig = plt.figure()
for s in range(num_sweeps):
if direction == 'random':
plt.scatter(sweep_Vadc[s], sweep_Vout[s], marker=markers[s], label=('sweep %d' % (s)))
else:
plt.plot(sweep_Vadc[s], sweep_Vout[s], label=('sweep %d' % (s)))
plt.legend()
plt.xlabel('Vadc')
plt.ylabel('Vout')
plt.title('Read ADC value is translated back to the output')
fig_path = "%s/FIG_Vout_vs_Vadc.png" % (save_dir)
fig.savefig(fig_path, dpi=200)
plt.close(fig)
#
plt.show()
plt.close('all')
# fin