def test_add_noises_to_split_lines():
split_lines = geom_utils.get_split_lines_gdf(walk_geom, noise_polys)
noise_lines = exps.add_noises_to_split_lines(noise_polys, split_lines)
mean_noise = round(noise_lines['db_lo'].mean(), 1)
min_noise = noise_lines['db_lo'].min()
max_noise = noise_lines['db_lo'].max()
assert (mean_noise, min_noise, max_noise) == (60.6, 45.0, 75.0)
def get_exposure_lines(line_geom, noise_polys):
split_lines = geom_utils.get_split_lines_gdf(line_geom, noise_polys)
if (split_lines.empty):
return gpd.GeoDataFrame()
line_noises = add_noises_to_split_lines(noise_polys, split_lines)
line_noises = line_noises.fillna(40)
len_error = abs(line_geom.length - line_noises['length'].sum())
if (len_error > 0.1):
print('len_error:', len_error)
print(' orig geom len:', line_geom.length)
print(' line noises sum len:', line_noises['length'].sum())
return line_noises
def test_get_th_exposure_lens(self):
split_lines = geom_utils.get_split_lines_gdf(walk_geom, noise_polys)
noise_lines = noise_exps.add_noises_to_split_lines(
noise_polys, split_lines)
noise_dict = noise_exps.get_exposures(noise_lines)
th_noise_dict = noise_exps.get_th_exposures(noise_dict,
[55, 60, 65, 70])
assert th_noise_dict == {
55: 573.907,
60: 229.041,
65: 121.931,
70: 59.351
}
def test_get_exposure_lens():
split_lines = geom_utils.get_split_lines_gdf(walk_geom, noise_polys)
noise_lines = exps.add_noises_to_split_lines(noise_polys, split_lines)
noise_dict = exps.get_exposures(noise_lines)
assert noise_dict == {
45: 14.356,
50: 4.96,
55: 344.866,
60: 107.11,
65: 62.58,
70: 40.678,
75: 18.673
}
def test_split_lines(self):
split_lines = geom_utils.get_split_lines_gdf(walk_geom, noise_polys)
count_split_lines = len(split_lines.index)
mean_split_line_len = round(split_lines['length'].mean(), 1)
assert (count_split_lines, mean_split_line_len) == (19, 32.5)
