Version 0.13.2a2

meson.build

@@ -1,7 +1,7 @@
 project(
     'scikit-digital-health',
     'c',
-    version: '0.13.2a1',
+    version: '0.13.2a2',
     license: 'MIT',
     meson_version: '>=1.1',
 )

src/skdh/activity/endpoints.py

@@ -1023,19 +1023,13 @@ def predict(
         """
         super().predict()
 
-        # get "pointers" to the results values
-        self.r_sig_ent = results[self.name[0]]
-        self.r_samp_ent = results[self.name[1]]
-        self.r_perm_ent = results[self.name[2]]
-        self.r_pss = results[self.name[3]]
-        self.r_spec_flat = results[self.name[4]]
-        self.r_spec_ent = results[self.name[5]]
-        self.r_sparc = results[self.name[6]]
-        self.i = i
-
         # compute values for the data we have
         wlen = int(self.wlen_min * (60 / epoch_s))
         skip = int(wlen * self.wskip_p)
+        # if we dont have any data to run on
+        if wlen > accel_metric.size:
+            return
+
         # get a windowed view of the acceleration metric
         metric_w = get_windowed_view(accel_metric, wlen, skip, ensure_c_contiguity=True)
 
@@ -1044,6 +1038,16 @@ def predict(
 
         self.vals.append(feats)
 
+        # get "pointers" to the results values
+        self.r_sig_ent = results[self.name[0]]
+        self.r_samp_ent = results[self.name[1]]
+        self.r_perm_ent = results[self.name[2]]
+        self.r_pss = results[self.name[3]]
+        self.r_spec_flat = results[self.name[4]]
+        self.r_spec_ent = results[self.name[5]]
+        self.r_sparc = results[self.name[6]]
+        self.i = i
+
     def reset_cached(self):
         super().reset_cached()
 

src/skdh/sleep/sleep.py

@@ -600,7 +600,7 @@ def predict(
         # finalize plotting
         self._finalize_plots()
 
-        return {"sleep": sleep_idx}
+        return sleep, {"sleep": sleep_idx}
 
     def _setup_day_plot(self, iday, source_file, date_str, start_dt):
         if self.f is not None: