Commit e878fd92 authored by Andrey Filippov's avatar Andrey Filippov

added method to generate parameters summary

parent 586b8213
......@@ -55,7 +55,7 @@ PARAMETER_TYPES=(
{"name":"tFDQS", "size":4, "units":"ps","description":"DQS fine delays (mod 5)","en":1}, #only 4 are independent, 5-th is -sum of 4
{"name":"tFDQ", "size":32, "units":"ps","description":"DQ fine delays (mod 5)","en":1},
{"name":"anaScale","size":1, "dflt":20, "units":"ps","description":"Scale for non-binary measured results","en":1}, #should not be 0 - singular matrix
{"name":"tCDQS", "size":30, "units":"ps","description":"DQS primary dealays (all but 8 and 24","en":1}, #only 4 are independent, 5-th is -sum of 4
{"name":"tCDQS", "size":30, "units":"ps","description":"DQS primary delays (all but 8 and 24","en":1}, #only 4 are independent, 5-th is -sum of 4
)
FINE_STEPS=5
DLY_STEPS =FINE_STEPS * 32 # =160
......
......@@ -4939,6 +4939,59 @@ write_settings= {
if not d is None:
print ("%d %s"%(phase,d))
def dq_dqs_parameters_stats(self,
out_mode=None):
if out_mode is None:
try:
self.load_mcntrl('dbg/x393_mcntrl.pickle') # load previously acquired data
except:
print("'dbg/x393_mcntrl.pickle' not found, using current data")
print("\nInput:")
self.dq_dqs_parameters_stats(False)
print("\nOutput:")
self.dq_dqs_parameters_stats(True)
return
def get_fine_step(tS,tF):
tF.append(-sum(tF))
# tF.append(tF[0]) Do not process last (large) step, average 4 small ones
rslt=[]
for i in range (len(tF)-1):
rslt.append(tS+tF[i]-tF[i+1])
return rslt
parameters = self.adjustment_state[("dqi_dqsi_parameters","dqo_dqso_parameters")[out_mode]]
for laneP in parameters:
laneP['tFSDQS']=get_fine_step(laneP['tSDQS'],laneP['tFDQS'][0:4] )
laneP['tFSDQ']=[]
for line in range(8):
laneP['tFSDQ'] += get_fine_step(laneP['tSDQ'][line],laneP['tFDQ'][4*line:4*(line+1)])
print('parameters=',parameters)
templ=({'name':'tDQSHL', 'units':'ps','scale':1},
{'name':'tDQHL', 'units':'ps','scale':1},
{'name':'tDQ', 'units':'ps','scale':1},
{'name':'tSDQS', 'units':'ps/step','scale':5.0},
{'name':'tSDQ', 'units':'ps/step','scale':5.0},
{'name':'tFSDQS', 'units':'ps/step','scale':1.0},
{'name':'tFSDQ', 'units':'ps/step','scale':1.0},
{'name':'anaScale','units':'ps', 'scale':1.0},
)
print ('parameter number average min max max-min units')
for par in templ:
v=[]
for laneP in parameters:
if isinstance(laneP[par['name']],(list,tuple)):
v += laneP[par['name']]
else:
v.append(laneP[par['name']])
print ("%s %d %.2f %.2f %.2f %.2f %s"%(par['name'],
len(v),
par['scale']*sum(v)/len(v),
par['scale']*min(v),
par['scale']*max(v),
par['scale']*(max(v)-min(v)),
par['units']))
# print (par['name'],par['scale']*sum(v)/len(v),par['scale']*(max(v)-min(v)), par['units'])
......
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