def test_options_record_invalid(self):
StoreOptions.start_recording_skipped()
with options_policy(skip_invalid=True, warn_on_skip=False):
Options('test', allowed_keywords=['kw1'], kw1='value', kw2='val')
errors = StoreOptions.stop_recording_skipped()
self.assertEqual(len(errors),1)
self.assertEqual(errors[0].invalid_keyword,'kw2')
def test_options_record_invalid(self):
StoreOptions.start_recording_skipped()
with options_policy(skip_invalid=True, warn_on_skip=False):
Options('test', allowed_keywords=['kw1'], kw1='value', kw2='val')
errors = StoreOptions.stop_recording_skipped()
self.assertEqual(len(errors), 1)
self.assertEqual(errors[0].invalid_keyword, 'kw2')
def test_full_spec_format(self):
out = StoreOptions.merge_options(options={
'Image': {
'plot': dict(fig_size=150),
'style': dict(cmap='Blues')
}
})
self.assertEqual(out, self.expected)
def test_mpl_bokeh_mpl(self):
img = Image(np.random.rand(10, 10))
# Use blue in matplotlib
Store.current_backend = 'matplotlib'
StoreOptions.set_options(img, style={'Image': {'cmap': 'Blues'}})
mpl_opts = Store.lookup_options('matplotlib', img, 'style').options
self.assertEqual(mpl_opts, {'cmap': 'Blues'})
# Use purple in bokeh
Store.current_backend = 'bokeh'
StoreOptions.set_options(img, style={'Image': {'cmap': 'Purple'}})
bokeh_opts = Store.lookup_options('bokeh', img, 'style').options
self.assertEqual(bokeh_opts, {'cmap': 'Purple'})
# Check it is still blue in matplotlib...
Store.current_backend = 'matplotlib'
mpl_opts = Store.lookup_options('matplotlib', img, 'style').options
self.assertEqual(mpl_opts, {'cmap': 'Blues'})
# And purple in bokeh..
Store.current_backend = 'bokeh'
bokeh_opts = Store.lookup_options('bokeh', img, 'style').options
self.assertEqual(bokeh_opts, {'cmap': 'Purple'})
return img
def test_mpl_bokeh_mpl(self):
img = Image(np.random.rand(10,10))
# Use blue in matplotlib
Store.current_backend = 'matplotlib'
StoreOptions.set_options(img, style={'Image':{'cmap':'Blues'}})
mpl_opts = Store.lookup_options('matplotlib', img, 'style').options
self.assertEqual(mpl_opts, {'cmap':'Blues'})
# Use purple in bokeh
Store.current_backend = 'bokeh'
StoreOptions.set_options(img, style={'Image':{'cmap':'Purple'}})
bokeh_opts = Store.lookup_options('bokeh', img, 'style').options
self.assertEqual(bokeh_opts, {'cmap':'Purple'})
# Check it is still blue in matplotlib...
Store.current_backend = 'matplotlib'
mpl_opts = Store.lookup_options('matplotlib', img, 'style').options
self.assertEqual(mpl_opts, {'cmap':'Blues'})
# And purple in bokeh..
Store.current_backend = 'bokeh'
bokeh_opts = Store.lookup_options('bokeh', img, 'style').options
self.assertEqual(bokeh_opts, {'cmap':'Purple'})
return img
def test_partitioned_format(self):
out = StoreOptions.merge_options(
plot={'Image':dict(fig_size=150)},
style={'Image':dict(cmap='Blues')})
self.assertEqual(out, self.expected)
def test_full_spec_format(self):
out = StoreOptions.merge_options(options={
'Image':{'plot':dict(fig_size=150),
'style': dict(cmap='Blues')}})
self.assertEqual(out, self.expected)
def test_partitioned_format(self):
out = StoreOptions.merge_options(['plot', 'style'],
plot={'Image': dict(fig_size=150)},
style={'Image': dict(cmap='Blues')})
self.assertEqual(out, self.expected)
def test_partitioned_format(self):
out = StoreOptions.merge_options(
["plot", "style"], plot={"Image": dict(fig_size=150)}, style={"Image": dict(cmap="Blues")}
)
self.assertEqual(out, self.expected)
def test_full_spec_format(self):
out = StoreOptions.merge_options(
["plot", "style"], options={"Image": {"plot": dict(fig_size=150), "style": dict(cmap="Blues")}}
)
self.assertEqual(out, self.expected)
