def simulate_cell_year(cell, cell_count):
"""
Simulate a cell-type for an entire year using sample precipitation and
evapotranspiration data.
The `cell` parameter is a string with the soil type and land use
separated by a colon.
The `cell_count` parameter is the number of cells of this type.
If the `precolumbian` parameter is true, then the cell is
simulated under Pre-Columbian circumstances (anything other than
water, woody wetland, and herbaceous wetland becomes mixed
forest).
"""
split = cell.split(':')
if (len(split) == 2):
split.append('')
land_use = split[1]
bmp = split[2]
retval = {}
for day in range(365):
(precip, evaptrans) = lookup_pet(day, bmp or land_use)
result = simulate_cell_day(precip, evaptrans, cell, cell_count)
retval = dict_plus(retval, result)
return retval
def simulate_cell_year(cell, cell_count, precolumbian):
"""
Simulate a cell-type for an entire year using sample precipitation and
evapotranspiration data.
The `cell` parameter is a string with the soil type and land use
separated by a colon.
The `cell_count` parameter is the number of cells of this type.
If the `precolumbian` parameter is true, then the cell is
simulated under Pre-Columbian circumstances (anything other than
water, woody wetland, and herbaceous wetland becomes mixed
forest).
"""
(soil_type, land_use) = cell.split(':')
if precolumbian:
land_use = make_precolumbian(land_use)
cell = soil_type + ':' + land_use
retval = {}
for day in range(365):
pet = lookup_pet(day, land_use)
retval = dict_plus(retval, simulate_cell_day(pet, cell, cell_count))
return retval
def test_lookup_pet(self):
"""
Do some spot-checks on the SampleYear data.
"""
self.assertEqual(lookup_pet(0, 'water')[0], 0.0)
self.assertEqual(lookup_pet(52, 'hi_residential')[1], 0.0)
self.assertEqual(lookup_pet(104, 'green_roof')[1], 0.0)
self.assertEqual(lookup_pet(156, 'cluster_housing')[0], 0.23)
self.assertEqual(lookup_pet(208, 'grassland')[0], 0.2)
self.assertEqual(lookup_pet(260, 'woody_wetland')[1], 0.207)
self.assertEqual(lookup_pet(352, 'hay')[1], 0.207 * 0.6)
