Split timeweighting into different types for each of the possible use cases.

.gitignore

@@ -20,3 +20,4 @@ doc
 .spyproject
 .cache
 _skbuild
+acme_log.log

src/lasp/dsp/lasp_slm.cpp

@@ -35,6 +35,7 @@ SLM::SLM(const d fs, const d Lref, const us downsampling_fac, const d tau,
 
 {
   DEBUGTRACE_ENTER;
+  DEBUGTRACE_PRINT(_alpha);
 
   // Make sure thread pool is running
   getPool();
@@ -42,7 +43,7 @@ SLM::SLM(const d fs, const d Lref, const us downsampling_fac, const d tau,
   if (Lref <= 0) {
     throw rte("Invalid reference level");
   }
-  if (tau <= 0) {
+  if (tau < 0) {
     throw rte("Invalid time constant for Single pole lowpass filter");
   }
   if (fs <= 0) {
@@ -67,8 +68,8 @@ std::vector<unique_ptr<Filter>> createBandPass(const dmat &coefs) {
   return bf;
 }
 us SLM::suggestedDownSamplingFac(const d fs, const d tau) {
-  if(tau<0) throw rte("Invalid time weighting time constant");
-  if(fs<=0) throw rte("Invalid sampling frequency");
+  if (fs <= 0)
+    throw rte("Invalid sampling frequency");
   // A reasonable 'framerate' for the sound level meter, based on the
   // filtering time constant.
   if (tau > 0) {
@@ -170,8 +171,8 @@ dmat SLM::run(const vd &input_orig) {
     /* DEBUGTRACE_PRINT(res.n_rows); */
     /* DEBUGTRACE_PRINT(futs.size()); */
 
-    // Update the total number of samples harvested so far. NOTE: *This should be
-    // done AFTER the threads are done!!!*
+    // Update the total number of samples harvested so far. NOTE: *This should
+    // be done AFTER the threads are done!!!*
   }
   N += input.n_rows;
 

src/lasp/lasp_common.py

@@ -286,46 +286,57 @@ class this_lasp_shelve(Shelve):
         return os.path.join(lasp_appdir, f'{node}_config.shelve')
 
 class TimeWeighting:
-    none = (-1, 'Raw (no time weighting)')
+    # This is not actually a time weighting
+    none = (0, 'Raw (no time weighting)')
+
     uufast = (1e-4, '0.1 ms')
     ufast = (35e-3, 'Impulse (35 ms)')
     fast = (0.125, 'Fast (0.125 s)')
     slow = (1.0, 'Slow (1.0 s)')
     tens = (10., '10 s')
-    infinite = (0, 'Infinite')
-    types_realtime = (ufast, fast, slow, tens, infinite)
-    types_all = (none, uufast, ufast, fast, slow, tens, infinite)
+
+    # All-averaging: compute the current average of all history. Kind of the
+    # equivalent level. Only useful for power spectra. For Sound Level Meter,
+    # equivalent levels does that thing.
+    averaging = (-1, 'All-averaging')
+
+    types_all = (none, uufast, ufast, fast, slow, tens, averaging)
+
+    # Used for combobox of realt time power spectra
+    types_realtimeaps = (ufast, fast, slow, tens, averaging)
+    # Used for combobox of realt time sound level meter
+    types_realtimeslm = (ufast, fast, slow, tens)
+
+    # Used for combobox of sound level meter - time dependent
+    types_slmt = (none, uufast, ufast, fast, slow, tens)
+
+    # Used for combobox of sound level meter - Lmax statistics
+    types_slmstats = (uufast, ufast, fast, slow, tens)
 
     default = fast
-    default_index = 3
-    default_index_realtime = 1
 
     @staticmethod
-    def fillComboBox(cb, realtime=False):
+    def fillComboBox(cb, types):
         """
         Fill TimeWeightings to a combobox
 
         Args:
             cb: QComboBox to fill
+            types: The types to fill it with
         """
         cb.clear()
-        if realtime:
-            types = TimeWeighting.types_realtime
-            defindex = TimeWeighting.default_index_realtime
-        else:
-            types = TimeWeighting.types_all
-            defindex = TimeWeighting.default_index
+
+        logging.debug(f'{types}')
         for tw in types:
             cb.addItem(tw[1], tw)
-
-        cb.setCurrentIndex(defindex)
+            if TimeWeighting.default == tw:
+                cb.setCurrentIndex(cb.count()-1)
 
     @staticmethod
     def getCurrent(cb):
-        if cb.count() == len(TimeWeighting.types_realtime):
-            return TimeWeighting.types_realtime[cb.currentIndex()]
-        else:
-            return TimeWeighting.types_all[cb.currentIndex()]
+        for type in TimeWeighting.types_all:
+            if cb.currentText() == type[1]:
+                return type
 
 
 class FreqWeighting:

src/lasp/lasp_slm.py

@@ -72,7 +72,8 @@ class SLM:
         self.xs = list(range(xmin, xmax + 1))
 
         nfilters = len(self.xs)
-        if include_overall: nfilters +=1
+        if include_overall:
+            nfilters += 1
         self.include_overall = include_overall
         self.offset_t = offset_t
 
@@ -137,7 +138,6 @@ class SLM:
         # Initialize counter to 0
         self.N = 0
 
-
     def run(self, data):
         """
         Add new fresh timedata to the Sound Level Meter
@@ -169,7 +169,6 @@ class SLM:
 
         return output
 
-
     def return_as_dict(self, dat):
         """
         Helper function used to return resulting data in a proper way.