add dimensioned streams to DynamicMap __mul__ clone

holoviews/core/overlay.py

@@ -14,7 +14,7 @@
 from .dimension import Dimension, Dimensioned, ViewableElement, ViewableTree
 from .ndmapping import UniformNdMapping
 from .layout import Composable, Layout, AdjointLayout
-from .util import config, sanitize_identifier, unique_array
+from .util import config, sanitize_identifier, unique_array, dimensioned_streams
 
 
 class Overlayable(object):
@@ -33,7 +33,7 @@ def dynamic_mul(*args, **kwargs):
             callback = Callable(dynamic_mul, inputs=[self, other])
             callback._is_overlay = True
             return other.clone(shared_data=False, callback=callback,
-                               streams=[])
+                               streams=dimensioned_streams(other))
         if isinstance(other, UniformNdMapping) and not isinstance(other, CompositeOverlay):
             items = [(k, self * v) for (k, v) in other.items()]
             return other.clone(items)
@@ -187,7 +187,7 @@ def dynamic_mul(*args, **kwargs):
             callback = Callable(dynamic_mul, inputs=[self, other])
             callback._is_overlay = True
             return other.clone(shared_data=False, callback=callback,
-                               streams=[])
+                               streams=dimensioned_streams(other))
         elif not isinstance(other, ViewableElement):
             return NotImplemented
         return Overlay([self, other])

holoviews/core/spaces.py

@@ -296,7 +296,7 @@ def dynamic_mul(*args, **kwargs):
                 callback = Callable(dynamic_mul, inputs=[self, other])
                 callback._is_overlay = True
                 return self.clone(shared_data=False, callback=callback,
-                                  streams=[])
+                                  streams=util.dimensioned_streams(self))
             items = [(k, other * v) if reverse else (k, v * other)
                      for (k, v) in self.data.items()]
             return self.clone(items, label=self._label, group=self._group)
@@ -1527,6 +1527,7 @@ def collate(self):
 
         # Get stream mapping from callback
         remapped_streams = []
+        self_dstreams = util.dimensioned_streams(self)
         streams = self.callback.stream_mapping
         for i, (k, v) in enumerate(initialized.last.data.items()):
             vstreams = streams.get(i, [])
@@ -1576,6 +1577,7 @@ def collation_cb(*args, **kwargs):
                                         selection_index=type_counter[type(v)],
                                         selection_type=type(v)),
                                 inputs=[self])
+            vstreams = list(util.unique_iterator(self_dstreams + vstreams))
             vdmap = self.clone(callback=callback, shared_data=False,
                                streams=vstreams)
             type_counter[type(v)] += 1

holoviews/tests/plotting/bokeh/testlayoutplot.py

@@ -2,7 +2,7 @@
 
 from holoviews.core import (HoloMap, GridSpace, Layout, Empty, Dataset,
                             NdOverlay, DynamicMap, Dimension)
-from holoviews.element import Curve, Image, Points
+from holoviews.element import Curve, Image, Points, HLine, VLine, Path, Histogram
 from holoviews.streams import Stream
 
 from .testplot import TestBokehPlot, bokeh_renderer
@@ -271,3 +271,29 @@ def test_layout_axis_not_linked_mismatching_unit(self):
         plot = bokeh_renderer.get_plot(layout)
         p1, p2 = (sp.subplots['main'] for sp in plot.subplots.values())
         self.assertIsNot(p1.handles['y_range'], p2.handles['y_range'])
+
+    def test_dimensioned_streams_with_dynamic_map_overlay_clone(self):
+        time = Stream.define('Time', time=-3.0)()
+        def crosshair(time):
+            return VLine(time) * HLine(time)
+        crosshair = DynamicMap(crosshair, kdims='time', streams=[time])
+        path = Path([])
+        t = crosshair * path
+        html, _ = bokeh_renderer(t)
+        self.assertIn('Bokeh Application', html)
+
+    def test_dimensioned_streams_with_dynamic_callback_returns_layout(self):
+        stream = Stream.define('aname', aname='a')()
+        def cb(aname):
+            x = np.linspace(0, 1, 10)
+            y = np.random.randn(10)
+            curve = Curve((x, y), group=aname)
+            hist = Histogram(y)
+            return (curve + hist).opts(shared_axes=False)
+        m = DynamicMap(cb, kdims=['aname'], streams=[stream])
+        p = bokeh_renderer.get_plot(m)
+        T = 'XYZT'
+        stream.event(aname=T)
+        self.assertIn('aname: ' + T, p.handles['title'].text, p.handles['title'].text)
+        p.cleanup()
+        self.assertEqual(stream._subscribers, [])