diff --git a/src/CalcStats.py b/src/CalcStats.py
index 70d320fe7594f1af191cd465d6605c9c3ee35c66..60635dc3a00137a10750420a923ef5fb22fbd467 100755
--- a/src/CalcStats.py
+++ b/src/CalcStats.py
@@ -467,52 +467,35 @@ class DeviceObj:
# History for Mean,Median,Std,Skew,Kurt,Min,Max,MinMax
# mean
attribute = self.prefix()+'{:03d}_Mean_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.mean; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.mean); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.mean; selfseq_dev.write_attribute(attribute,val)
+
# median
attribute = self.prefix()+'{:03d}_Median_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.median; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.median); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.median; selfseq_dev.write_attribute(attribute,val)
+
# std
attribute = self.prefix()+'{:03d}_Std_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.std; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.std); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.std; selfseq_dev.write_attribute(attribute,val)
+
# skew
attribute = self.prefix()+'{:03d}_Skew_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.skew; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.skew); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.skew; selfseq_dev.write_attribute(attribute,val)
+
# kurt
attribute = self.prefix()+'{:03d}_Kurt_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.kurt; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.kurt); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.kurt; selfseq_dev.write_attribute(attribute,val)
+
# min
attribute = self.prefix()+'{:03d}_Min_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.min; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.min); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.min; selfseq_dev.write_attribute(attribute,val)
+
# max
attribute = self.prefix()+'{:03d}_Max_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = val = np.roll(val, 1);val[-1] = self.max; selfseq_dev.write_attribute(attribute,val)
- else:
- np.append(val,self.max); selfseq_dev.write_attribute(attribute,val)
+ val = val = np.roll(val, -1);val[-1] = self.max; selfseq_dev.write_attribute(attribute,val)
+
# minmax
attribute = self.prefix()+'{:03d}_MinMax_History'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.minmax; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.minmax); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.minmax; selfseq_dev.write_attribute(attribute,val)
if self.tag == SENSOR_TAG:
for target in target_dev:
@@ -532,29 +515,19 @@ class DeviceObj:
# History for Corr, CorrFiltAbs, CorrLow, CorrHigh
# corr
attribute = self.prefix()+'s{:03d}_t{:03d}_Corr'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.corr[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.corr[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.corr[target.index]; selfseq_dev.write_attribute(attribute,val)
+
# corrfiltabs
attribute = self.prefix()+'s{:03d}_t{:03d}_CorrFiltAbs'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.lp_filter_corr[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.lp_filter_corr[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.lp_filter_corr[target.index]; selfseq_dev.write_attribute(attribute,val)
+
# corrlow
attribute = self.prefix()+'s{:03d}_t{:03d}_CorrLow'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.corr_low[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.corr_low[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.corr_low[target.index]; selfseq_dev.write_attribute(attribute,val)
+
# corrhigh
attribute = self.prefix()+'s{:03d}_t{:03d}_CorrHigh'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.corr_high[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.corr_high[target.index]); selfseq_dev.write_attribute(attribute,val)
-
+ val = np.roll(val, -1);val[-1] = self.corr_high[target.index]; selfseq_dev.write_attribute(attribute,val)
elif self.tag == TARGET_TAG:
for target in target_dev:
@@ -574,28 +547,19 @@ class DeviceObj:
# History for Corr, CorrFiltAbs, CorrLow, CorrHigh
# corr
attribute = self.prefix()+'t{:03d}_t{:03d}_Corr'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.corr[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.corr[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.corr[target.index]; selfseq_dev.write_attribute(attribute,val)
+
# corrfiltabs
attribute = self.prefix()+'t{:03d}_t{:03d}_CorrFiltAbs'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.lp_filter_corr[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.lp_filter_corr[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.lp_filter_corr[target.index]; selfseq_dev.write_attribute(attribute,val)
+
# corrlow
attribute = self.prefix()+'t{:03d}_t{:03d}_CorrLow'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.corr_low[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.corr_low[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.corr_low[target.index]; selfseq_dev.write_attribute(attribute,val)
+
# corrhigh
attribute = self.prefix()+'t{:03d}_t{:03d}_CorrHigh'.format(self.index+1); val = selfseq_dev.read_attribute(attribute); val = val.value
- if val.size >= HISTORY_SIZE:
- val = np.roll(val, 1);val[-1] = self.corr_high[target.index]; selfseq_dev.write_attribute(attribute,val)
- else:
- val = np.append(val,self.corr_high[target.index]); selfseq_dev.write_attribute(attribute,val)
+ val = np.roll(val, -1);val[-1] = self.corr_high[target.index]; selfseq_dev.write_attribute(attribute,val)
attribute=self.prefix()+'{:03d}_BunchNumberEnd'.format(self.index+1);selfseq_dev.write_attribute(attribute,self.bn_end)