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]