the pair ('fragilityModel', 'nrml/0.4').
"""
version, tag = re.search(r'(nrml/[\d\.]+)\}(\w+)', nrml_node.tag).groups()
return tag, version
def to_python(fname, *args):
"""
Parse a NRML file and return an associated Python object. It works by
calling nrml.read() and node_to_obj() in sequence.
"""
[node] = read(fname)
return node_to_obj(node, fname, *args)
parse = deprecated('Use nrml.to_python instead')(to_python)
node_to_obj = CallableDict(keyfunc=get_tag_version, keymissing=lambda n, f: n)
# dictionary of functions with at least two arguments, node and fname
@node_to_obj.add(('ruptureCollection', 'nrml/0.5'))
def get_rupture_collection(node, fname, converter):
return converter.convert_node(node)
default = sourceconverter.SourceConverter()
@node_to_obj.add(('sourceModel', 'nrml/0.4'))
def get_source_model_04(node, fname, converter=default):
from openquake.calculators.export.hazard import savez
from openquake.commonlib import writers, risk_writers, calc
from openquake.commonlib.util import (get_assets, compose_arrays, reader)
from openquake.commonlib.risk_writers import (DmgState, DmgDistPerTaxonomy,
DmgDistPerAsset, DmgDistTotal,
ExposureData, Site)
Output = collections.namedtuple('Output', 'ltype path array')
F32 = numpy.float32
F64 = numpy.float64
U16 = numpy.uint16
U32 = numpy.uint32
U64 = numpy.uint64
stat_dt = numpy.dtype([('mean', F32), ('stddev', F32)])
deprecated = deprecated('Use the csv exporter instead')
def add_quotes(values):
# used to escape taxonomies in CSV files
return numpy.array(['"%s"' % val for val in values], (bytes, 100))
def get_rup_data(ebruptures):
dic = {}
for ebr in ebruptures:
point = ebr.rupture.surface.get_middle_point()
dic[ebr.serial] = (ebr.rupture.mag, point.x, point.y, point.z)
return dic