Fix a bug in `timeshift` when shifts are larger than data size

lisainstrument/dsp.py

@@ -43,6 +43,10 @@ def timeshift(data, shifts, order=31):
         logging.debug("Constant shifts, using correlation method")
         i_min = shift_ints - (halfp - 1)
         i_max = shift_ints + halfp + data.size
+        if i_max - 1 < 0:
+            return numpy.repeat(data[0], data.size)
+        if i_min > data.size - 1:
+            return numpy.repeat(data[-1], data.size)
         logging.debug("Padding data (left=%d, right=%d)", max(0, -i_min), max(0, i_max - data.size))
         data_trimmed = data[max(0, i_min):min(data.size, i_max)]
         data_padded = numpy.pad(data_trimmed, (max(0, -i_min), max(0, i_max - data.size)), mode='edge')