def export_losses_by_asset_npz(ekey, dstore):
"""
:param ekey: export key, i.e. a pair (datastore key, fmt)
:param dstore: datastore object
"""
fname = dstore.export_path('%s.%s' % ekey)
savez(fname, **dict(extract(dstore, 'losses_by_asset')))
return [fname]
def export_losses_by_asset_npz(ekey, dstore):
"""
:param ekey: export key, i.e. a pair (datastore key, fmt)
:param dstore: datastore object
"""
fname = dstore.export_path('%s.%s' % ekey)
savez(fname, **dict(extract(dstore, 'losses_by_asset')))
return [fname]
def export_dmg_by_asset_npz(ekey, dstore):
damage_dt = build_damage_dt(dstore)
rlzs = dstore['csm_info'].get_rlzs_assoc().realizations
data = dstore[ekey[0]]
assets = get_assets(dstore)
dic = {}
for rlz in rlzs:
dmg_by_asset = build_damage_array(data[:, rlz.ordinal], damage_dt)
dic['rlz-%03d' % rlz.ordinal] = compose_arrays(assets, dmg_by_asset)
fname = dstore.export_path('%s.%s' % ekey)
savez(fname, **dic)
return [fname]
def export_all_losses_npz(ekey, dstore):
rlzs = dstore['csm_info'].get_rlzs_assoc().realizations
assets = get_assets(dstore)
losses = dstore['all_losses-rlzs']
dic = {}
for rlz in rlzs:
rlz_losses = _compact(losses[:, :, rlz.ordinal])
data = compose_arrays(assets, rlz_losses)
dic['all_losses-%03d' % rlz.ordinal] = data
fname = dstore.build_fname('all_losses', 'rlzs', 'npz')
savez(fname, **dic)
return [fname]
def export_loss_maps_npz(ekey, dstore):
kind = ekey[0].split('-')[1] # rlzs or stats
assets = get_assets(dstore)
value = get_loss_maps(dstore, kind)
R = len(dstore['realizations'])
if kind == 'rlzs':
tags = ['rlz-%03d' % r for r in range(R)]
else:
oq = dstore['oqparam']
tags = ['mean'] + ['quantile-%s' % q for q in oq.quantile_loss_curves]
fname = dstore.export_path('%s.%s' % ekey)
dic = {}
for tag, values in zip(tags, value.T):
dic[tag] = compose_arrays(assets, values)
savez(fname, **dic)
return [fname]
def export_loss_maps_npz(ekey, dstore):
kind = ekey[0].split('-')[1] # rlzs or stats
assets = get_assets(dstore)
value = get_loss_maps(dstore, kind)
R = dstore['full_lt'].get_num_rlzs()
if kind == 'rlzs':
tags = ['rlz-%03d' % r for r in range(R)]
else:
oq = dstore['oqparam']
tags = oq.hazard_stats()
fname = dstore.export_path('%s.%s' % ekey)
dic = {}
for i, tag in enumerate(tags):
dic[tag] = compose_arrays(assets, value[:, i])
savez(fname, **dic)
return [fname]
def export_loss_maps_npz(ekey, dstore):
kind = ekey[0].split('-')[1] # rlzs or stats
assets = get_assets(dstore)
value = get_loss_maps(dstore, kind)
R = dstore['csm_info'].get_num_rlzs()
if kind == 'rlzs':
tags = ['rlz-%03d' % r for r in range(R)]
else:
oq = dstore['oqparam']
tags = ['mean'] + ['quantile-%s' % q for q in oq.quantile_loss_curves]
fname = dstore.export_path('%s.%s' % ekey)
dic = {}
for i, tag in enumerate(tags):
dic[tag] = compose_arrays(assets, value[:, i])
savez(fname, **dic)
return [fname]
def export_loss_maps_npz(ekey, dstore):
kind = ekey[0].split('-')[1] # rlzs or stats
assets = get_assets(dstore)
value = get_loss_maps(dstore, kind)
R = dstore['csm_info'].get_num_rlzs()
if kind == 'rlzs':
tags = ['rlz-%03d' % r for r in range(R)]
else:
oq = dstore['oqparam']
tags = ['mean'] + ['quantile-%s' % q for q in oq.quantiles]
fname = dstore.export_path('%s.%s' % ekey)
dic = {}
for i, tag in enumerate(tags):
dic[tag] = compose_arrays(assets, value[:, i])
savez(fname, **dic)
return [fname]
def export_losses_by_asset_npz(ekey, dstore):
"""
:param ekey: export key, i.e. a pair (datastore key, fmt)
:param dstore: datastore object
"""
loss_dt = dstore['oqparam'].loss_dt()
losses_by_asset = dstore[ekey[0]].value
rlzs = dstore['csm_info'].get_rlzs_assoc().realizations
assets = get_assets(dstore)
dic = {}
for rlz in rlzs:
# I am exporting the 'mean' and ignoring the 'stddev'
losses = losses_by_asset[:, rlz.ordinal]['mean'].copy() # shape (N, 1)
data = compose_arrays(assets, losses.view(loss_dt)[:, 0])
dic['rlz-%03d' % rlz.ordinal] = data
fname = dstore.export_path('%s.%s' % ekey)
savez(fname, **dic)
return [fname]
def export_dmg_by_asset_npz(ekey, dstore):
fname = dstore.export_path('%s.%s' % ekey)
savez(fname, **dict(extract(dstore, 'dmg_by_asset')))
return [fname]
def export_dmg_by_asset_npz(ekey, dstore):
fname = dstore.export_path('%s.%s' % ekey)
savez(fname, **dict(extract(dstore, 'dmg_by_asset')))
return [fname]
