timing: only queue when averaging, rephrase put calls

Reduce the amount of work which the timing decoder needs to do. Only
keep the deque() filled when averaging is active. Rephrase .put() calls
to reduce text line lengths (and for consistency with a pending change).
Move another options lookup for deltas out of the main loop.

1 files changed, 15 insertions, 12 deletions

diff --git a/decoders/timing/pd.py b/decoders/timing/pd.py
index 071c990..1295477 100644
--- a/decoders/timing/pd.py
+++ b/decoders/timing/pd.py
@@ -115,6 +115,7 @@ class Decoder(srd.Decoder):
             raise SamplerateError('Cannot decode without samplerate.')
         edge = self.options['edge']
         avg_period = self.options['avg_period']
+        delta = self.options['delta'] == 'yes'
         terse = self.options['terse'] == 'yes'
         ss = None
         last_n = deque()
@@ -134,21 +135,23 @@ class Decoder(srd.Decoder):
             samples = es - ss
             t = samples / self.samplerate
 
-            if t > 0:
-                last_n.append(t)
-            if len(last_n) > avg_period:
-                last_n.popleft()
-
             if terse:
-                self.put(ss, es, self.out_ann, [Ann.TERSE, terse_times(t)])
+                cls, txt = Ann.TERSE, terse_times(t)
+                self.put(ss, es, self.out_ann, [cls, txt])
             else:
-                self.put(ss, es, self.out_ann, [Ann.TIME, [normalize_time(t)]])
+                cls, txt = Ann.TIME, [normalize_time(t)]
+                self.put(ss, es, self.out_ann, [cls, txt])
             if avg_period > 0:
-                self.put(ss, es, self.out_ann,
-                         [Ann.AVG, [normalize_time(sum(last_n) / len(last_n))]])
-            if last_t and self.options['delta'] == 'yes':
-                self.put(ss, es, self.out_ann,
-                         [Ann.DELTA, [normalize_time(t - last_t)]])
+                if t > 0:
+                    last_n.append(t)
+                if len(last_n) > avg_period:
+                    last_n.popleft()
+                average = sum(last_n) / len(last_n)
+                cls, txt = Ann.AVG, normalize_time(average)
+                self.put(ss, es, self.out_ann, [cls, [txt]])
+            if last_t and delta:
+                cls, txt = Ann.DELTA, normalize_time(t - last_t)
+                self.put(ss, es, self.out_ann, [cls, [txt]])
 
             last_t = t
             ss = es