Add test

holoviews/tests/conftest.py

@@ -65,6 +65,8 @@ def ibis_sqlite_backend():
 
 @pytest.fixture
 def bokeh_backend():
+    if not hv.extension._loaded:
+        hv.extension("bokeh")
     hv.renderer("bokeh")
     prev_backend = hv.Store.current_backend
     hv.Store.current_backend = "bokeh"
@@ -74,6 +76,8 @@ def bokeh_backend():
 
 @pytest.fixture
 def mpl_backend():
+    if not hv.extension._loaded:
+        hv.extension("matplotlib")
     hv.renderer("matplotlib")
     prev_backend = hv.Store.current_backend
     hv.Store.current_backend = "matplotlib"
@@ -83,6 +87,8 @@ def mpl_backend():
 
 @pytest.fixture
 def plotly_backend():
+    if not hv.extension._loaded:
+        hv.extension("plotly")
     hv.renderer("plotly")
     prev_backend = hv.Store.current_backend
     hv.Store.current_backend = "plotly"

holoviews/tests/ui/bokeh/test_links.py

@@ -0,0 +1,53 @@
+from datetime import timedelta
+
+import numpy as np
+import pandas as pd
+import pytest
+from bokeh.sampledata.stocks import AAPL
+
+import holoviews as hv
+from holoviews.plotting.links import RangeToolLink
+
+from .. import expect
+
+pytestmark = pytest.mark.ui
+
+
+@pytest.mark.usefixtures("bokeh_backend")
+@pytest.mark.parametrize(
+    ["index", "intervalsx", "x_range_src", "x_range_tgt"],
+    [
+        (range(len(AAPL["date"])), (100, 365), (0, 365), (0, 3269)),
+        (
+            pd.to_datetime(AAPL["date"]),
+            (timedelta(days=100), timedelta(days=365)),
+            (
+                np.array(["2000-03-01"], dtype="datetime64[ns]")[0],
+                pd.Timestamp("2001-03-01"),
+            ),
+            np.array(["2000-03-01", "2013-03-01"], dtype="datetime64[ns]"),
+        ),
+    ],
+    ids=["int", "datetime"],
+)
+def test_rangetool_link_interval(serve_hv, index, intervalsx, x_range_src, x_range_tgt):
+    df = pd.DataFrame(AAPL["close"], columns=["close"], index=index)
+    df.index.name = "Date"
+
+    aapl_curve = hv.Curve(df, "Date", ("close", "Price ($)"))
+    tgt = aapl_curve.relabel("AAPL close price").opts(width=800, labelled=["y"])
+    src = aapl_curve.opts(width=800, height=100, yaxis=None)
+
+    RangeToolLink(src, tgt, axes=["x", "y"], intervalsx=intervalsx)
+    layout = (tgt + src).cols(1)
+    layout.opts(hv.opts.Layout(shared_axes=False))
+
+    page = serve_hv(layout)
+    hv_plot = page.locator(".bk-events")
+    expect(hv_plot).to_have_count(2)
+
+    bk_model = hv.render(layout)
+    bk_src = bk_model.children[0][0]
+    np.testing.assert_equal((bk_src.x_range.start, bk_src.x_range.end), x_range_src)
+    bk_tgt = bk_model.children[1][0]
+    np.testing.assert_equal((bk_tgt.x_range.start, bk_tgt.x_range.end), x_range_tgt)