fixed measures bias of StreamingLilyletGenerator

lilyscript/generator.py

@@ -270,7 +270,9 @@ class StreamingLilyletGenerator:
 					patches.append(chunk + [self.pad_id] * (self.patch_size - len(chunk)))
 
 		out_text = self.patches_to_text(patches[1:])
-		prime_ids = self.tokenizer.encode(f'[r:0/{measures}]') if measures is not None else None
+		# 0-based marker: `y` counts measures remaining AFTER this one (patchifier:
+		# y = total - i - 1), so `[r:0/{measures-1}]` yields exactly `measures` total.
+		prime_ids = self.tokenizer.encode(f'[r:0/{measures - 1}]') if measures is not None and measures >= 1 else None
 		primed = False
 
 		# seed the monitor's running context/stream from the prompt patches (if any)