def test_overlay_array():
plot = Plot()
lst = [1, 2, 3]
plot.overlay_array(lst)
assert plot.command_and_arguments == {
'command': 'overlay_array',
'arguments': [memoryview(np.array(lst, dtype=np.float32))],
}
def test_overlay_href(traitlet_set_mock):
plot = Plot()
plot.overlay_href('bar|baz')
assert traitlet_set_mock.call_count == 2
for call_args in traitlet_set_mock.call_args_list:
assert call_args[0][0]['command'] == 'overlay_href'
assert len(call_args[0][0]['arguments']) == 1
assert call_args[0][0]['arguments'][0] in ('bar', 'baz')
def test_getattr_change_settings():
plot = Plot()
options = {'autol': 1000}
plot.change_settings(options)
assert plot.command_and_arguments == {
'command': 'change_settings',
'arguments': [options]
}
def test_overlay_array_numpy():
plot = Plot()
lst = np.array([1, 2, 3])
plot.overlay_array(lst)
assert plot.command_and_arguments == {
'command': 'overlay_array',
'arguments': [memoryview(lst.astype(np.float32))],
}
def test_instance_level_resolver():
from jupyter_sigplot.sigplot import Plot
def to_foo(_):
return 'foo'
# If a single path resolver makes it all the way through the prepare step,
# we assume that other tests ensure more complicated cases do, too.
# Resolver specified in constructor
p = Plot(path_resolvers=[to_foo])
p.overlay_href('baz')
assert p.path_resolvers == [to_foo]
assert p.command_and_arguments == {
'command': 'overlay_href',
'arguments': ['foo']
}
# Resolver specified after construction
p = Plot()
p.path_resolvers = [to_foo]
p.overlay_href('quux')
assert p.path_resolvers == [to_foo]
assert p.command_and_arguments == {
'command': 'overlay_href',
'arguments': ['foo']
}
def test_class_level_resolver(traitlet_set_mock):
from jupyter_sigplot.sigplot import Plot
def to_foo(_):
return 'foo'
Plot.path_resolvers = [to_foo]
# Resolver applied post constructor
p = Plot()
p.overlay_href('baz|quux.mat')
assert traitlet_set_mock.call_count == 2
for call_args in traitlet_set_mock.call_args_list:
assert call_args[0][0]['command'] == 'overlay_href'
assert len(call_args[0][0]['arguments']) == 1
assert call_args[0][0]['arguments'][0] == 'foo'
def test_available_commands():
plot = Plot()
available_commands = [
'change_settings',
'overlay_href',
'overlay_array',
]
assert plot.available_commands == available_commands
def test_empty_object():
plot = Plot()
# instance variables
assert plot.data_dir == ''
assert plot.path_resolvers == []
# traitlets
assert plot.command_and_arguments == {}
assert plot.plot_options == {}
assert plot.progress == 0.0
assert not plot.done
def test_non_empty_object():
data_dir = "/tmp"
path_resolvers = ["/data"]
options = {'noyaxis': True, 'noxaxis': True}
plot = Plot(
data_dir=data_dir,
path_resolvers=path_resolvers,
**options
)
# instance variables
assert plot.data_dir == data_dir
assert plot.path_resolvers == path_resolvers
# traitlets
assert plot.command_and_arguments == {}
assert plot.plot_options == options
assert plot.progress == 0.0
assert not plot.done
def test_overlay_array_bad_type():
plot = Plot()
lst = ['foo', 'bar', 'baz']
with pytest.raises(TypeError):
plot.overlay_array(lst)
def test_attr_error():
plot = Plot()
with pytest.raises(AttributeError):
plot.foobar('blah')
def test_UPPERCASE_getattr_change_settings():
plot = Plot()
options = {'autol': 1000}
with pytest.raises(AttributeError):
plot.CHANGE_SETTINGS(options)
def test_overlay_array_numpy_bad_dtype():
plot = Plot()
lst = np.array(['foo', 'bar', 'baz'])
with pytest.raises(TypeError):
plot.overlay_array(lst)
