def test_fsv_step_fvs_grow(self, name, variant):
f = fvs.FVS(variant)
p = './bg_test.key'
with open(p, 'w') as foo:
foo.write(nw_bg_test_kwds())
f.fvs_step.fvs_init(p)
for c in range(f.contrl_mod.ncyc):
r = f.fvs_step.fvs_grow()
r = f.fvs_step.fvs_end()
print('FVS Return Code: %s' % r)
self.assertEqual(r, 0, 'FVS Return Code: %s' % r)
def test_load_variant(variant):
"""
Test that variant libraries load and initialize.
"""
try:
f = fvs.FVS(variant)
except ImportError:
pytest.skip('No variant library: {}'.format(variant))
return None
except:
raise
assert f.variant == variant
assert not f.fvslib is None
f = None
def test_bare_ground(variant, kwd_path, sum_path):
try:
f = fvs.FVS(variant)
except ImportError:
pytest.skip('No variant library: {}'.format(variant))
return None
except:
raise
f.init_projection(os.path.join(root, kwd_path))
for c in range(f.contrl_mod.ncyc):
r = f.grow_projection()
r = f.end_projection()
assert r == 0
widths = [
4, 4, 6, 4, 5, 4, 4, 5, 6, 6, 6, 6, 6, 6, 6, 4, 5, 4, 4, 5, 8, 5, 6, 8,
4, 2, 1
]
fldnames = ('year,age,tpa,baa,sdi,ccf,top_ht,qmd,total_cuft'
',merch_cuft,merch_bdft,rem_tpa,rem_total_cuft'
',rem_merch_cuft,rem_merch_bdft,res_baa,res_sdi'
',res_ccf,res_top_ht,resid_qmd,grow_years'
',annual_acc,annual_mort,mai_merch_cuft,for_type'
',size_class,stocking_class').split(',')
# Read the sum file generated by the "official" FVS executable
sum_check = pd.read_fwf(os.path.join(root, sum_path),
skiprows=1,
widths=widths)
sum_check.columns = fldnames
# Read the sum file produced by the pyfvs variant wrapper
p = os.path.join(root, os.path.splitext(sum_path)[0])
sum_test = pd.read_fwf(p, skiprows=1, widths=widths)
sum_test.columns = fldnames
for fld in fldnames[:18]:
assert np.all(
np.isclose(sum_check.loc[:, fld], sum_test.loc[:, fld], atol=1))
def test_fsv_trees(self):
try:
f = fvs.FVS(fvs_variant)
except ImportError:
pytest.skip('No variant library: {}'.format(fvs_variant))
return None
except:
raise
p = './bg_test.key'
kwds = bg_kwds()
kwds.write(p)
f.init_projection(p)
for c in range(f.num_cycles):
r = f.grow_projection()
r = f.end_projection()
print('FVS Return Code: %s' % r)
self.assertEqual(r, 0, 'FVS Return Code: %s' % r)
def test_import_variants(self):
print(self.variant)
f = fvs.FVS(self.variant)
def test_variant_name(self, name, variant):
f = fvs.FVS(variant)
self.assertEqual(f.variant, variant, 'Variant name failed')
def test_load_variant(self, name, variant):
f = fvs.FVS(variant)
def test_tree_data(variant, kwd_path, sum_path):
try:
f = fvs.FVS(variant)
except ImportError:
pytest.skip('No variant library: {}'.format(variant))
return None
except:
raise
print('**', kwd_path)
f.init_projection(os.path.join(root, kwd_path))
f.tree_data.live_tpa[:, :] = 0.0
for c in range(f.contrl_mod.ncyc):
r = f.grow_projection()
r = f.end_projection()
assert r == 0
widths = [
4, 4, 6, 4, 5, 4, 4, 5, 6, 6, 6, 6, 6, 6, 6, 4, 5, 4, 4, 5, 8, 5, 6, 8,
4, 2, 1
]
fldnames = ('year,age,tpa,baa,sdi,ccf,top_ht,qmd,total_cuft'
',merch_cuft,merch_bdft,rem_tpa,rem_total_cuft'
',rem_merch_cuft,rem_merch_bdft,res_baa,res_sdi'
',res_ccf,res_top_ht,resid_qmd,grow_years'
',annual_acc,annual_mort,mai_merch_cuft,for_type'
',size_class,stocking_class').split(',')
# Read the sum file generated by the "official" FVS executable
sum_check = pd.read_fwf(os.path.join(root, sum_path),
skiprows=0,
widths=widths)
sum_check.columns = fldnames
ncyc = f.contrl_mod.ncyc
# TPA +/- 1
tpa = np.round(np.sum(f.tree_data.live_tpa[:, :ncyc + 1], axis=0),
0).astype(int)
check_tpa = sum_check.loc[:, 'tpa'].values
assert np.all(np.isclose(check_tpa, tpa, atol=1))
# BAA +/- 1
tpa = f.tree_data.live_tpa[:, :ncyc + 1]
dbh = f.tree_data.live_dbh[:, :ncyc + 1]
baa = tpa * dbh * dbh * 0.005454154
baa = np.round(np.sum(baa, axis=0), 0).astype(int)
check_baa = sum_check.loc[:, 'baa'].values
assert np.all(np.isclose(check_baa, baa, atol=1))
# Total CuFt +/- 1
tpa = f.tree_data.live_tpa[:, :ncyc + 1]
cuft = f.tree_data.cuft_total[:, :ncyc + 1]
tot_cuft = np.round(np.sum(tpa * cuft, axis=0), 0).astype(int)
check_cuft = sum_check.loc[:, 'total_cuft'].values
assert np.all(np.isclose(check_cuft, tot_cuft, atol=1))
# Total BdFt +/- 1
tpa = f.tree_data.live_tpa[:, :ncyc + 1]
bdft = f.tree_data.bdft_net[:, :ncyc + 1]
tot_bdft = np.round(np.sum(tpa * bdft, axis=0), 0).astype(int)
check_bdft = sum_check.loc[:, 'merch_bdft'].values
assert np.all(np.isclose(check_bdft, tot_bdft, atol=1))
