Python item示例

示例#1

文件： josh2.py 项目： NIST860/relator

from quantities import year, markup
markup.config.use_unicode = False

building = Building.objects.get(pk='O03')
standards = Standard.objects.filter(name__in=('2007', 'LEC'))
locations = Location.objects.filter(representative=True)
years = ((10 * year), (25 * year), (40 * year))

for location in Location.objects.filter(name='Anchorage'):
	for standard in standards:
		for year in years:
			file = open(os.path.join('scripts', 'output', '%s-%s-%s-%s.txt' % (
				building.pk,
				location.name,
				standard.name,
				year.item())), 'w')
			r = Results(building, standard, location, year, '0.03')

			print >> file, 'Lifecycle:', price(r.lifecycle.cost())
			print >> file, 'Investment:', price(r.investment.cost())
			print >> file, '---------------------------------------------'

			###########################
			# First
			print >> file, 'First Costs:', price(r.first.cost())
			print >> file, '\tDelta Energy Efficiency:', price(r.energy_efficiency.delta())
			print >> file, '\tBuilding Subtotal:', price(r.first.index(r.building.subtotal, 'weighted-average'))
			###########################
			# Components
			print >> file, '\tComponent:', price(r.components.cost())
			print >> file, '\t\tInsulation:', price(r.components.insulation.cost())

示例#2

文件： josh2.py 项目： luzfcb/relator

from results import Results
from quantities import year, markup
markup.config.use_unicode = False

building = Building.objects.get(pk='O03')
standards = Standard.objects.filter(name__in=('2007', 'LEC'))
locations = Location.objects.filter(representative=True)
years = ((10 * year), (25 * year), (40 * year))

for location in Location.objects.filter(name='Anchorage'):
    for standard in standards:
        for year in years:
            file = open(
                os.path.join(
                    'scripts', 'output', '%s-%s-%s-%s.txt' %
                    (building.pk, location.name, standard.name, year.item())),
                'w')
            r = Results(building, standard, location, year, '0.03')

            print >> file, 'Lifecycle:', price(r.lifecycle.cost())
            print >> file, 'Investment:', price(r.investment.cost())
            print >> file, '---------------------------------------------'

            ###########################
            # First
            print >> file, 'First Costs:', price(r.first.cost())
            print >> file, '\tDelta Energy Efficiency:', price(
                r.energy_efficiency.delta())
            print >> file, '\tBuilding Subtotal:', price(
                r.first.index(r.building.subtotal, 'weighted-average'))
            ###########################

示例#3

文件： josh3.py 项目： luzfcb/relator

    'Electricity BTU/yr',
))

exceptions = []
for building in buildings:
    for location in locations:
        for standard in standards:
            for year in periods:
                try:
                    r = Results(building, standard, location, year, 0.03)
                    print >> file, ','.join(
                        map(str, (
                            building.type,
                            location.name,
                            location.state,
                            year.item(),
                            standard.name,
                            r.lifecycle.cost(),
                            r.energy_efficiency.cost(),
                            r.energy.cost(),
                            r.energy.use(),
                            r.energy.fuel('Gas').use,
                            r.energy.fuel('Electric').use,
                        )))
                    print building, location, standard, year
                except Exception as e:
                    exceptions.append(e)
file.close()
errors = open(path.join('scripts', 'errors.txt'), 'w')
print >> errors, '\n'.join(exceptions)
errors.close()

示例#4

文件： josh.py 项目： luzfcb/relator

from locations.models import Location
from standards.models import Standard
from structures.models import Building
from results.templatetags.comparison import delta, percent, airr
from results.comparison import Comparison
from quantities import year

building = Building.objects.get(pk='O03')
locations = Location.objects.filter(representative=True)
years = ((10 * year), (25 * year), (40 * year))

file = open('deltas.csv', 'w')
print >> file, ','.join(('Study Length', 'Location', '% Reduction LCC',
                         '% Reduction Energy', 'AIRR'))
for location in locations:
    for year in years:
        standards = Standard.objects.filter(name__in=('2007', 'LEC'))
        c = Comparison(standards, building, location, year, '0.03')
        baseline = c.baseline()
        for results in c.rest():
            plc = percent(results.lifecycle.cost(), baseline.lifecycle.cost())
            pe = percent(results.energy.use(), baseline.energy.use())
            print >> file, ','.join(
                map(str, (year.item(), location.name, plc, pe,
                          results.airr(baseline))))
            print location, year
        file.write('\n')
file.close()

示例#5

文件： josh3.py 项目： NIST860/relator

	'Gas BTU/yr',
	'Electricity BTU/yr',
))

exceptions = []
for building in buildings:
	for location in locations:
		for standard in standards:
			for year in periods:
				try:
					r = Results(building, standard, location, year, 0.03)
					print >> file, ','.join(map(str, (
						building.type,
						location.name,
						location.state,
						year.item(),
						standard.name,
						r.lifecycle.cost(),
						r.energy_efficiency.cost(),
						r.energy.cost(),
						r.energy.use(),
						r.energy.fuel('Gas').use,
						r.energy.fuel('Electric').use,
					)))
					print building, location, standard, year
				except Exception as e:
					exceptions.append(e)
file.close()
errors = open(path.join('scripts', 'errors.txt'), 'w')
print >> errors, '\n'.join(exceptions)
errors.close()