def test_fixed_summary():
vma_dict = vma.generate_vma_dict(datadir)
v = vma_dict['Testing Fixed Summary']
(avg, high, low) = v.avg_high_low()
assert (avg, high, low) == (2.0, 3.0, 1.0)
from model import co2calcs
from model import customadoption
from model import dd
from model import emissionsfactors
from model import firstcost
from model import helpertables
from model import operatingcost
from model import s_curve
from model import unitadoption
from model import vma
from model import tam
from solution import rrs
DATADIR = str(pathlib.Path(__file__).parents[2].joinpath('data'))
THISDIR = pathlib.Path(__file__).parents[0]
VMAs = vma.generate_vma_dict(THISDIR.joinpath('vma_data'))
units = {
"implementation unit": "TW",
"functional unit": "TWh(th)",
"first cost": "US$B",
"operating cost": "US$B",
}
name = 'Solar Hot Water'
solution_category = ac.SOLUTION_CATEGORY.REDUCTION
scenarios = ac.load_scenarios_from_json(directory=THISDIR.joinpath('ac'), vmas=VMAs)
class SolarHotWater:
def test_generate_vma_dict():
vma_dict = vma.generate_vma_dict(datadir)
assert len(vma_dict) == 2
assert 'Current Adoption' in vma_dict