def static_tests_sweep(num_bits=7,
offset=0.5,
tau=6,
plot_decision_tree=False,
bucketsize=20,
steps=None):
datasize = int(bucketsize * 2**num_bits)
input_axis = np.linspace(0, 2**num_bits, datasize)
output_axis = np.zeros(shape=(datasize, ), dtype=int)
output_axis2 = np.zeros(shape=(datasize, ), dtype=int)
counter = 0
while counter < datasize:
adcinstance = ADC(tau=tau, num_bits=num_bits)
adc2 = ADC(tau=tau, num_bits=num_bits)
#adcinstance.set_fsm_steps(weird_steps)
adc2.set_fsm_steps(steps)
inputvoltage = input_axis[counter] + offset
adcinstance.run_1_adc_sample(vin=inputvoltage)
adc2.run_1_adc_sample(vin=inputvoltage)
plots = adcinstance.return_transient_results()
plots2 = adc2.return_transient_results()
output = int(adcinstance.return_output())
output2 = int(adc2.return_output())
if (plot_decision_tree):
print(output)
helper.plot_transients(plots, vin=None)
helper.plot_transients(plots2, vin=None)
output_axis[counter] = output
output_axis2[counter] = output2
counter = counter + 1
adc_eval.eval_adc_from_arrays(input_axis, output_axis)
adc_eval.eval_adc_from_arrays(input_axis, output_axis2)
def time_domain_probe(num_bits=10, offset=0.5, tau=6, vin=0, steps=None):
adcinstance = ADC(tau=tau, num_bits=num_bits)
adc2 = ADC(tau=tau, num_bits=num_bits)
# adcinstance.set_fsm_steps(weird_steps)
adc2.set_fsm_steps(steps)
inputvoltage = vin + offset
adcinstance.run_1_adc_sample(vin=inputvoltage)
adc2.run_1_adc_sample(vin=inputvoltage)
plots = adcinstance.return_transient_results()
helper.plot_transients(plots, inputvoltage)
plots2 = adc2.return_transient_results()
helper.plot_transients(plots2, inputvoltage)
output = int(adcinstance.return_output())
output2 = int(adc2.return_output())
print('output is ' + str(output))
print('adjusted output is ' + str(output2))