def test_populate_fixed_summary():
VMAs = {
'Testing Fixed Summary':
vma.VMA(filename=datadir.joinpath("vma1_silvopasture.csv"),
use_weight=False),
}
vma.populate_fixed_summaries(
vma_dict=VMAs, filename=datadir.joinpath('VMA_info_w_summary.csv'))
v = VMAs['Testing Fixed Summary']
(avg, high, low) = v.avg_high_low()
assert (avg, high, low) == (2.0, 3.0, 1.0)
"Energy_Consumed_for_Space_Heating_per_Functional_Unit_CONVENTIONAL.csv"
),
use_weight=True),
'Electricty Consumed for Space Cooling per Functional Unit - CONVENTIONAL':
vma.VMA(filename=THISDIR.joinpath(
"vma_data",
"Electricty_Consumed_for_Space_Cooling_per_Functional_Unit_CONVENTIONAL.csv"
),
use_weight=True),
'CONVENTIONAL Revenue per Functional Unit':
vma.VMA(filename=None, use_weight=False),
'SOLUTION Revenue per Functional Unit':
vma.VMA(filename=None, use_weight=False),
}
vma.populate_fixed_summaries(vma_dict=VMAs,
filename=THISDIR.joinpath('vma_data',
'VMA_info.csv'))
units = {
"implementation unit": "MHholds",
"functional unit": "Million Households ",
"first cost": "US$B",
"operating cost": "US$B",
}
name = 'Smart Thermostats'
solution_category = ac.SOLUTION_CATEGORY.REDUCTION
scenarios = ac.load_scenarios_from_json(directory=THISDIR.joinpath('ac'),
vmas=VMAs)
