def test_hsCaribu():
g = potted_syrah()
# sample values copied from data.json_parameters
unit_scene_length = 'cm'
# Attaching optical properties to MTG elements
g = optical_prop(g)
# simple run
assert 'Ei' not in g.property_names()
assert 'Eabs' not in g.property_names()
g, cs = hsCaribu(g, unit_scene_length)
assert 'Ei' in g.property_names()
assert 'Eabs' in g.property_names()
assert len(g.property('Ei')) == len(cs.scene)
assert len(g.property('Eabs')) == len(cs.scene)
assert sum(g.property('Ei').values()) > 0
# simple run during night
g, cs = hsCaribu(g, unit_scene_length, source=[(0, (0, -1, 0))])
assert sum(g.property('Ei').values()) == 0
# reproduce scene filtering as done in model.py
g = potted_syrah()
unit_scene_length = 'cm'
g = optical_prop(g)
ng = len(g.property('geometry'))
label = g.property('label')
g.properties()['radiative_geometry'] = {
k: v
for k, v in g.property('geometry').iteritems()
if label[k].startswith(('L', 'other', 'soil'))
}
assert len(g.property('radiative_geometry')) < ng
g, cs = hsCaribu(g, unit_scene_length, geometry='radiative_geometry')
assert len(g.property('Ei')) == len(cs.scene)
assert len(g.property('Ei')) == len(g.property('radiative_geometry'))
assert len(g.property('geometry')) == ng
# non regression test
ei_sum = sum(g.property('Ei').values())
assert_almost_equal(ei_sum, 14.83, 2)
# test consider option
g = potted_syrah()
unit_scene_length = 'cm'
g = optical_prop(g)
ng = len(g.property('geometry'))
label = g.property('label')
consider = [
vid for vid in g.property('geometry')
if label[vid].startswith(('L', 'other', 'soil'))
]
assert len(consider) < ng
g, cs = hsCaribu(g, unit_scene_length, consider=consider)
assert len(g.property('Ei')) == len(cs.scene)
assert len(g.property('Ei')) == len(consider)
assert len(g.property('geometry')) == ng
# non regression test
ei_sum = sum(g.property('Ei').values())
assert_almost_equal(ei_sum, 14.83, 2)
def test_heat_boundary_layer_conductance():
g = potted_syrah()
met = meteo().iloc[[12], :]
l = energy.get_leaves_length(g)
gbH = energy.heat_boundary_layer_conductance(l, met.u[0])
assert len(gbH) == 46
assert_almost_equal(sum(gbH.values()) / len(gbH), 47, 0)
def test_hydraulic_prop_attributes_the_right_properties_to_the_different_organs(
):
simple_shoot = potted_syrah()
simple_shoot.node(simple_shoot.root).vid_base = architecture.mtg_base(
simple_shoot, vtx_label='inT')
vid_base = simple_shoot.node(simple_shoot.root).vid_base
for vtx_id in traversal.post_order2(simple_shoot, vid_base):
n = simple_shoot.node(vtx_id)
if n.label.startswith('LI'):
n.E = 0.
n.An = 0.
hydraulic.hydraulic_prop(simple_shoot,
mass_conv=18.01528,
length_conv=1.e-2,
a=2.6,
b=2.0,
min_kmax=0.)
for vtx_id in traversal.post_order2(simple_shoot, vid_base):
n = simple_shoot.node(vtx_id)
assert hasattr(n, 'Flux')
assert hasattr(n, 'FluxC')
if n.label.startswith(('in', 'cx', 'Pet')):
assert hasattr(n, 'Kmax')
def test_potted_grapevine():
g = non_regression_data.potted_syrah()
results = model.run(g,
join(non_regression_data.sources_dir, ''),
write_result=False,
psi_soil=-0.5,
gdd_since_budbreak=1000.)
ref = non_regression_data.reference_time_series_output()
# do not compare date index
assert_array_almost_equal(ref.iloc[0, 1:],
results.reset_index(drop=True).iloc[0, :],
decimal=0)
def test_pgl_scene():
g = potted_syrah()
bc = pgl.BBoxComputer(pgl.Tesselator())
s = energy.pgl_scene(g)
bc.process(s)
bbox = bc.boundingbox
zmin, zmax = bbox.getZMin(),bbox.getZMax()
assert zmax > zmin > 0
s = energy.pgl_scene(g, flip=True)
bc.process(s)
bbox = bc.boundingbox
zmin, zmax = bbox.getZMin(),bbox.getZMax()
assert 0 > zmax > zmin
# check that original scene is still z >0
s = energy.pgl_scene(g)
bc.process(s)
bbox = bc.boundingbox
zmin, zmax = bbox.getZMin(), bbox.getZMax()
assert zmax > zmin > 0
def test_leaf_temperature():
g = potted_syrah()
met = meteo().iloc[[12], :]
tsoil = 20
tsky = 2
tleaf, it = leaf_temperature(g, met, tsoil, tsky)
assert len(tleaf) == 46
first = tleaf.keys()[0]
for vid in tleaf:
assert tleaf[vid] == tleaf[first]
assert tleaf[vid] != met.Tac[0]
l = energy.get_leaves_length(g)
u = energy.leaf_wind_as_air_wind(g, met)
gbH = energy.heat_boundary_layer_conductance(l, u)
tleaf, it = leaf_temperature(g, met, tsoil, tsky, gbh=gbH)
first = tleaf.keys()[0]
assert len(tleaf) == 46
for vid in tleaf:
assert tleaf[vid] != met.Tac[0]
if vid != first:
assert tleaf[vid] != tleaf[first]
def test_form_factors_simplified():
g = potted_syrah()
k_soil, k_sky, k_leaves = form_factors_simplified(g, icosphere_level=0)
# non regression test
assert_almost_equal(sum(k_leaves.values()), 147.7, 1)
def test_get_leaves():
g = potted_syrah()
leaves = energy.get_leaves(g, leaf_lbl_prefix='L')
assert len(leaves) == 46
