def _calculate_humidity_ratio(self):
"""Compute the humidity ratio at each step of the Data Collection."""
self._humidity_ratio = [
humid_ratio_from_db_rh(db, rh)
for db, rh in zip(self._air_temperature, self._rel_humidity)
]
self._hr_calculated = True
def test_humid_ratio_from_db_rh():
"""Test the accuracy of the humid_ratio_from_db_rh function."""
assert humid_ratio_from_db_rh(30, 0) == pytest.approx(0, rel=1e-3)
assert humid_ratio_from_db_rh(30, 50) == pytest.approx(0.013314, rel=1e-3)
assert humid_ratio_from_db_rh(30, 100) == pytest.approx(0.02721, rel=1e-3)
assert humid_ratio_from_db_rh(20, 0) == pytest.approx(0, rel=1e-3)
assert humid_ratio_from_db_rh(20, 50) == pytest.approx(0.00726, rel=1e-3)
assert humid_ratio_from_db_rh(20, 100) == pytest.approx(0.014698, rel=1e-3)
assert humid_ratio_from_db_rh(-20, 0) == pytest.approx(0, rel=1e-3)
assert humid_ratio_from_db_rh(-20, 50) == pytest.approx(0.0003173,
rel=1e-3)
assert humid_ratio_from_db_rh(-20, 100) == pytest.approx(0.00063508,
rel=1e-3)
def test_compute_function_aligned():
"""Test the method for computing funtions with aligned collections."""
epw_file_path = './tests/fixtures/epw/chicago.epw'
chicago_epw = EPW(epw_file_path)
pressure_at_chicago = 95000
hr_inputs = [
chicago_epw.dry_bulb_temperature, chicago_epw.relative_humidity,
pressure_at_chicago
]
humid_ratio = HourlyContinuousCollection.compute_function_aligned(
humid_ratio_from_db_rh, hr_inputs, HumidityRatio(), 'fraction')
assert isinstance(humid_ratio, HourlyContinuousCollection)
assert len(humid_ratio.values) == 8760
for i, val in enumerate(humid_ratio.values):
assert val == humid_ratio_from_db_rh(
chicago_epw.dry_bulb_temperature[i],
chicago_epw.relative_humidity[i], pressure_at_chicago)
hr_inputs = [20, 70, pressure_at_chicago]
humid_ratio = HourlyContinuousCollection.compute_function_aligned(
humid_ratio_from_db_rh, hr_inputs, HumidityRatio(), 'fraction')
assert isinstance(humid_ratio, float)
assert humid_ratio == humid_ratio_from_db_rh(20, 70, pressure_at_chicago)
# Process inputs and assign defaults.
input_list = [
_air_temp, _mrt_, _air_speed_, _rel_humid, _met_rate_, _clothing_
]
input, data_colls = extract_collections(input_list)
pmv_par = pmv_par_ or PMVParameter()
if data_colls == []:
# The inputs are all individual values.
pmv_result = predicted_mean_vote(input[0], float(input[1]), input[2],
input[3], input[4], input[5], 0,
pmv_par.still_air_threshold)
pmv = pmv_result['pmv']
ppd = pmv_result['ppd']
set = pmv_result['set']
hr = humid_ratio_from_db_rh(input[0], input[3])
comfort = pmv_par.is_comfortable(pmv_result['ppd'], hr)
condition = pmv_par.discomfort_reason(pmv_result['pmv'],
pmv_result['ppd'])
heat_loss = [
pmv_result['heat_loss']['cond'], pmv_result['heat_loss']['sweat'],
pmv_result['heat_loss']['res_l'], pmv_result['heat_loss']['res_s'],
pmv_result['heat_loss']['rad'], pmv_result['heat_loss']['conv']
]
else:
# The inputs include Data Collections.
if not isinstance(_air_temp, BaseCollection):
_air_temp = data_colls[0].get_aligned_collection(
float(_air_temp), Temperature(), 'C')
comf_obj = PMV(_air_temp, _rel_humid, _mrt_, _air_speed_, _met_rate_,
def test_humid_ratio_from_db_rh(self):
"""Test humid_ratio_from_db_rh"""
assert psy.humid_ratio_from_db_rh(17, 50) == approx(0.005949, rel=1e-3)
assert psy.humid_ratio_from_db_rh(30, 100) == approx(0.02696, rel=1e-3)