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gem/oq-engine | openquake/calculators/export/hazard.py | export_ruptures_csv | def export_ruptures_csv(ekey, dstore):
"""
:param ekey: export key, i.e. a pair (datastore key, fmt)
:param dstore: datastore object
"""
oq = dstore['oqparam']
if 'scenario' in oq.calculation_mode:
return []
dest = dstore.export_path('ruptures.csv')
header = ('rupid multiplicity ... | python | def export_ruptures_csv(ekey, dstore):
oq = dstore['oqparam']
if 'scenario' in oq.calculation_mode:
return []
dest = dstore.export_path('ruptures.csv')
header = ('rupid multiplicity mag centroid_lon centroid_lat '
'centroid_depth trt strike dip rake boundary').split()
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gem/oq-engine | openquake/calculators/export/hazard.py | export_hmaps_csv | def export_hmaps_csv(key, dest, sitemesh, array, comment):
"""
Export the hazard maps of the given realization into CSV.
:param key: output_type and export_type
:param dest: name of the exported file
:param sitemesh: site collection
:param array: a composite array of dtype hmap_dt
:param co... | python | def export_hmaps_csv(key, dest, sitemesh, array, comment):
curves = util.compose_arrays(sitemesh, array)
writers.write_csv(dest, curves, comment=comment)
return [dest] | [
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gem/oq-engine | openquake/calculators/export/hazard.py | add_imt | def add_imt(fname, imt):
"""
>>> add_imt('/path/to/hcurve_23.csv', 'SA(0.1)')
'/path/to/hcurve-SA(0.1)_23.csv'
"""
name = os.path.basename(fname)
newname = re.sub(r'(_\d+\.)', '-%s\\1' % imt, name)
return os.path.join(os.path.dirname(fname), newname) | python | def add_imt(fname, imt):
name = os.path.basename(fname)
newname = re.sub(r'(_\d+\.)', '-%s\\1' % imt, name)
return os.path.join(os.path.dirname(fname), newname) | [
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gem/oq-engine | openquake/calculators/export/hazard.py | export_hcurves_by_imt_csv | def export_hcurves_by_imt_csv(
key, kind, rlzs_assoc, fname, sitecol, array, oq, checksum):
"""
Export the curves of the given realization into CSV.
:param key: output_type and export_type
:param kind: a string with the kind of output (realization or statistics)
:param rlzs_assoc: a :class:... | python | def export_hcurves_by_imt_csv(
key, kind, rlzs_assoc, fname, sitecol, array, oq, checksum):
nsites = len(sitecol)
fnames = []
for imt, imls in oq.imtls.items():
slc = oq.imtls(imt)
dest = add_imt(fname, imt)
lst = [('lon', F32), ('lat', F32), ('depth', F32)]
for ... | [
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gem/oq-engine | openquake/calculators/export/hazard.py | hazard_curve_name | def hazard_curve_name(dstore, ekey, kind, rlzs_assoc):
"""
:param calc_id: the calculation ID
:param ekey: the export key
:param kind: the kind of key
:param rlzs_assoc: a RlzsAssoc instance
"""
key, fmt = ekey
prefix = {'hcurves': 'hazard_curve', 'hmaps': 'hazard_map',
'uh... | python | def hazard_curve_name(dstore, ekey, kind, rlzs_assoc):
key, fmt = ekey
prefix = {'hcurves': 'hazard_curve', 'hmaps': 'hazard_map',
'uhs': 'hazard_uhs'}[key]
if kind.startswith('quantile-'):
fname = dstore.build_fname('quantile_' + prefix[7:], kind[9:], fmt)
else:
fna... | [
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gem/oq-engine | openquake/calculators/export/hazard.py | get_kkf | def get_kkf(ekey):
"""
:param ekey: export key, for instance ('uhs/rlz-1', 'xml')
:returns: key, kind and fmt from the export key, i.e. 'uhs', 'rlz-1', 'xml'
"""
key, fmt = ekey
if '/' in key:
key, kind = key.split('/', 1)
else:
kind = ''
return key, kind, fmt | python | def get_kkf(ekey):
key, fmt = ekey
if '/' in key:
key, kind = key.split('/', 1)
else:
kind = ''
return key, kind, fmt | [
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gem/oq-engine | openquake/calculators/export/hazard.py | export_hcurves_csv | def export_hcurves_csv(ekey, dstore):
"""
Exports the hazard curves into several .csv files
:param ekey: export key, i.e. a pair (datastore key, fmt)
:param dstore: datastore object
"""
oq = dstore['oqparam']
info = get_info(dstore)
rlzs_assoc = dstore['csm_info'].get_rlzs_assoc()
R... | python | def export_hcurves_csv(ekey, dstore):
oq = dstore['oqparam']
info = get_info(dstore)
rlzs_assoc = dstore['csm_info'].get_rlzs_assoc()
R = len(rlzs_assoc.realizations)
sitecol = dstore['sitecol']
sitemesh = get_mesh(sitecol)
key, kind, fmt = get_kkf(ekey)
fnames = []
checksum = d... | [
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gem/oq-engine | openquake/calculators/export/hazard.py | get_metadata | def get_metadata(realizations, kind):
"""
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:param str kind:
kind of data, i.e. a key in the datastore
:returns:
a dictionary with smlt_path, gsimlt_path, statistics, quantile_value
"""
metadata = {}
if kind.startswith('rlz-... | python | def get_metadata(realizations, kind):
metadata = {}
if kind.startswith('rlz-'):
rlz = realizations[int(kind[4:])]
metadata['smlt_path'] = '_'.join(rlz.sm_lt_path)
metadata['gsimlt_path'] = rlz.gsim_rlz.uid
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gem/oq-engine | openquake/calculators/export/hazard.py | export_gmf | def export_gmf(ekey, dstore):
"""
:param ekey: export key, i.e. a pair (datastore key, fmt)
:param dstore: datastore object
"""
oq = dstore['oqparam']
if not oq.calculation_mode.startswith('scenario'):
return []
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investigation_time = (None if oq.calcula... | python | def export_gmf(ekey, dstore):
oq = dstore['oqparam']
if not oq.calculation_mode.startswith('scenario'):
return []
sitecol = dstore['sitecol']
investigation_time = (None if oq.calculation_mode == 'scenario'
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fmt = ekey[-1]
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gem/oq-engine | openquake/calculators/export/hazard.py | save_disagg_to_csv | def save_disagg_to_csv(metadata, matrices):
"""
Save disaggregation matrices to multiple .csv files.
"""
skip_keys = ('Mag', 'Dist', 'Lon', 'Lat', 'Eps', 'TRT')
base_header = ','.join(
'%s=%s' % (key, value) for key, value in metadata.items()
if value is not None and key not in skip_... | python | def save_disagg_to_csv(metadata, matrices):
skip_keys = ('Mag', 'Dist', 'Lon', 'Lat', 'Eps', 'TRT')
base_header = ','.join(
'%s=%s' % (key, value) for key, value in metadata.items()
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD.get_mean_and_stddevs | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
See :meth:`superclass method
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for spec of input and result values.
"""
# extracting dictionary of coefficients specific to required
#... | python | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
C = self.COEFFS[imt]
if isinstance(imt, PGA):
imt_per = 0.0
else:
imt_per = imt.period
sites.vs30 = np.array([250])
sites.z1pt0 = np.array([330])
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD._interp_function | def _interp_function(self, y_ip1, y_i, t_ip1, t_i, imt_per):
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"""
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD._get_SRF_tau | def _get_SRF_tau(self, imt_per):
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... | python | def _get_SRF_tau(self, imt_per):
if imt_per < 1:
srf = 0.87
elif 1 <= imt_per < 5:
srf = self._interp_function(0.58, 0.87, 5, 1, imt_per)
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srf = 1
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD._get_SRF_phi | def _get_SRF_phi(self, imt_per):
"""
Table 7 and equation 19 of 2013 report. NB change in notation,
2013 report calls this term 'sigma' but it is referred to here
as phi.
"""
if imt_per < 0.6:
srf = 0.8
elif 0.6 <= imt_per < 1:
srf = self._... | python | def _get_SRF_phi(self, imt_per):
if imt_per < 0.6:
srf = 0.8
elif 0.6 <= imt_per < 1:
srf = self._interp_function(0.7, 0.8, 1, 0.6, imt_per)
elif 1 <= imt_per <= 10:
srf = self._interp_function(0.6, 0.7, 10, 1, imt_per)
else:
srf =... | [
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD._get_SRF_sigma | def _get_SRF_sigma(self, imt_per):
"""
Table 8 and equation 19 of 2013 report. NB change in notation,
2013 report calls this term 'sigma_t' but it is referred to
here as sigma. Note that Table 8 is identical to Table 7 in
the 2013 report.
"""
if imt_per < 0.6:
... | python | def _get_SRF_sigma(self, imt_per):
if imt_per < 0.6:
srf = 0.8
elif 0.6 <= imt_per < 1:
srf = self._interp_function(0.7, 0.8, 1, 0.6, imt_per)
elif 1 <= imt_per <= 10:
srf = self._interp_function(0.6, 0.7, 10, 1, imt_per)
else:
srf... | [
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD._get_dL2L | def _get_dL2L(self, imt_per):
"""
Table 3 and equation 19 of 2013 report.
"""
if imt_per < 0.18:
dL2L = -0.06
elif 0.18 <= imt_per < 0.35:
dL2L = self._interp_function(0.12, -0.06, 0.35, 0.18, imt_per)
elif 0.35 <= imt_per <= 10:
dL2L =... | python | def _get_dL2L(self, imt_per):
if imt_per < 0.18:
dL2L = -0.06
elif 0.18 <= imt_per < 0.35:
dL2L = self._interp_function(0.12, -0.06, 0.35, 0.18, imt_per)
elif 0.35 <= imt_per <= 10:
dL2L = self._interp_function(0.65, 0.12, 10, 0.35, imt_per)
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gem/oq-engine | openquake/hazardlib/gsim/bradley_2013b.py | Bradley2013bChchCBD._get_dS2S | def _get_dS2S(self, imt_per):
"""
Table 4 of 2013 report
"""
if imt_per == 0:
dS2S = 0.05
elif 0 < imt_per < 0.15:
dS2S = self._interp_function(-0.15, 0.05, 0.15, 0, imt_per)
elif 0.15 <= imt_per < 0.45:
dS2S = self._interp_function(0.4... | python | def _get_dS2S(self, imt_per):
if imt_per == 0:
dS2S = 0.05
elif 0 < imt_per < 0.15:
dS2S = self._interp_function(-0.15, 0.05, 0.15, 0, imt_per)
elif 0.15 <= imt_per < 0.45:
dS2S = self._interp_function(0.4, -0.15, 0.45, 0.15, imt_per)
elif 0.4... | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | context | def context(src):
"""
Used to add the source_id to the error message. To be used as
with context(src):
operation_with(src)
Typically the operation is filtering a source, that can fail for
tricky geometries.
"""
try:
yield
except Exception:
etype, err, tb = sys.e... | python | def context(src):
try:
yield
except Exception:
etype, err, tb = sys.exc_info()
msg = 'An error occurred with source id=%s. Error: %s'
msg %= (src.source_id, err)
raise_(etype, msg, tb) | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | split_sources | def split_sources(srcs):
"""
:param srcs: sources
:returns: a pair (split sources, split time) or just the split_sources
"""
from openquake.hazardlib.source import splittable
sources = []
split_time = {} # src.id -> time
for src in srcs:
t0 = time.time()
mag_a, mag_b = s... | python | def split_sources(srcs):
from openquake.hazardlib.source import splittable
sources = []
split_time = {}
for src in srcs:
t0 = time.time()
mag_a, mag_b = src.get_min_max_mag()
min_mag = src.min_mag
if mag_b < min_mag:
continue
has_serial = hasa... | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | IntegrationDistance.get_bounding_box | def get_bounding_box(self, lon, lat, trt=None, mag=None):
"""
Build a bounding box around the given lon, lat by computing the
maximum_distance at the given tectonic region type and magnitude.
:param lon: longitude
:param lat: latitude
:param trt: tectonic region type, po... | python | def get_bounding_box(self, lon, lat, trt=None, mag=None):
if trt is None:
maxdist = max(self(trt, mag) for trt in self.dic)
else:
maxdist = self(trt, mag)
a1 = min(maxdist * KM_TO_DEGREES, 90)
a2 = min(angular_distance(maxdist, lat), 180)
retu... | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | IntegrationDistance.get_affected_box | def get_affected_box(self, src):
"""
Get the enlarged bounding box of a source.
:param src: a source object
:returns: a bounding box (min_lon, min_lat, max_lon, max_lat)
"""
mag = src.get_min_max_mag()[1]
maxdist = self(src.tectonic_region_type, mag)
bbox... | python | def get_affected_box(self, src):
mag = src.get_min_max_mag()[1]
maxdist = self(src.tectonic_region_type, mag)
bbox = get_bounding_box(src, maxdist)
return (fix_lon(bbox[0]), bbox[1], fix_lon(bbox[2]), bbox[3]) | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | SourceFilter.sitecol | def sitecol(self):
"""
Read the site collection from .filename and cache it
"""
if 'sitecol' in vars(self):
return self.__dict__['sitecol']
if self.filename is None or not os.path.exists(self.filename):
# case of nofilter/None sitecol
return
... | python | def sitecol(self):
if 'sitecol' in vars(self):
return self.__dict__['sitecol']
if self.filename is None or not os.path.exists(self.filename):
return
with hdf5.File(self.filename, 'r') as h5:
self.__dict__['sitecol'] = sc = h5.get('sitecol... | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | SourceFilter.get_rectangle | def get_rectangle(self, src):
"""
:param src: a source object
:returns: ((min_lon, min_lat), width, height), useful for plotting
"""
min_lon, min_lat, max_lon, max_lat = (
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return (min_lon, min_lat), (max_lon - m... | python | def get_rectangle(self, src):
min_lon, min_lat, max_lon, max_lat = (
self.integration_distance.get_affected_box(src))
return (min_lon, min_lat), (max_lon - min_lon) % 360, max_lat - min_lat | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | SourceFilter.get_bounding_boxes | def get_bounding_boxes(self, trt=None, mag=None):
"""
:param trt: a tectonic region type (used for the integration distance)
:param mag: a magnitude (used for the integration distance)
:returns: a list of bounding boxes, one per site
"""
bbs = []
for site in self.... | python | def get_bounding_boxes(self, trt=None, mag=None):
bbs = []
for site in self.sitecol:
bb = self.integration_distance.get_bounding_box(
site.location.longitude, site.location.latitude, trt, mag)
bbs.append(bb)
return bbs | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | SourceFilter.close_sids | def close_sids(self, rec, trt, mag):
"""
:param rec:
a record with fields minlon, minlat, maxlon, maxlat
:param trt:
tectonic region type string
:param mag:
magnitude
:returns:
the site indices within the bounding box enlarged by the in... | python | def close_sids(self, rec, trt, mag):
if self.sitecol is None:
return []
elif not self.integration_distance:
return self.sitecol.sids
if hasattr(rec, 'dtype'):
bbox = rec['minlon'], rec['minlat'], rec['maxlon'], rec['maxlat']
else:
... | [
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gem/oq-engine | openquake/hazardlib/calc/filters.py | SourceFilter.filter | def filter(self, sources):
"""
:param sources: a sequence of sources
:yields: sources with .indices
"""
for src in sources:
if hasattr(src, 'indices'): # already filtered
yield src
continue
box = self.integration_distance.... | python | def filter(self, sources):
for src in sources:
if hasattr(src, 'indices'):
yield src
continue
box = self.integration_distance.get_affected_box(src)
indices = self.sitecol.within_bbox(box)
if len(indices):
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gem/oq-engine | openquake/hazardlib/calc/filters.py | RtreeFilter.filter | def filter(self, sources):
"""
:param sources: a sequence of sources
:yields: rtree-filtered sources
"""
if self.sitecol is None: # do not filter
yield from sources
return
for src in sources:
box = self.integration_distance.get_affecte... | python | def filter(self, sources):
if self.sitecol is None:
yield from sources
return
for src in sources:
box = self.integration_distance.get_affected_box(src)
indices = within(box, self.index)
if len(indices):
src.indices = ... | [
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gem/oq-engine | openquake/commands/to_shapefile.py | to_shapefile | def to_shapefile(output, input_nrml_file, validate):
"""
Convert a NRML source model file to ESRI Shapefile(s).
For each type of source geometry defined in the NRML file (point, area,
simple fault, complex fault, planar) a separate shapefile is created. Each
shapefile is differentiated by a specifi... | python | def to_shapefile(output, input_nrml_file, validate):
input_parser = shapefileparser.SourceModelParser()
source_model = input_parser.read(input_nrml_file, validate)
if not output:
output = os.path.splitext(input_nrml_file)[0]
print('Extracting %s_ files' % output)
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | simple_fault_node | def simple_fault_node(fault_trace, dip, upper_depth, lower_depth):
"""
:param fault_trace: an object with an attribute .points
:param dip: dip parameter
:param upper_depth: upper seismogenic depth
:param lower_depth: lower seismogenic depth
:returns: a Node of kind simpleFaultGeometry
"""
... | python | def simple_fault_node(fault_trace, dip, upper_depth, lower_depth):
node = Node('simpleFaultGeometry')
line = []
for p in fault_trace.points:
line.append(p.longitude)
line.append(p.latitude)
node.append(Node('gml:LineString', nodes=[Node('gml:posList', {}, line)]))
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | SimpleFaultSurface.check_fault_data | def check_fault_data(cls, fault_trace, upper_seismogenic_depth,
lower_seismogenic_depth, dip, mesh_spacing):
"""
Verify the fault data and raise ``ValueError`` if anything is wrong.
This method doesn't have to be called by hands before creating the
surface objec... | python | def check_fault_data(cls, fault_trace, upper_seismogenic_depth,
lower_seismogenic_depth, dip, mesh_spacing):
if not len(fault_trace) >= 2:
raise ValueError("the fault trace must have at least two points")
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raise Va... | [
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | SimpleFaultSurface.from_fault_data | def from_fault_data(cls, fault_trace, upper_seismogenic_depth,
lower_seismogenic_depth, dip, mesh_spacing):
"""
Create and return a fault surface using fault source data.
:param openquake.hazardlib.geo.line.Line fault_trace:
Geographical line representing the... | python | def from_fault_data(cls, fault_trace, upper_seismogenic_depth,
lower_seismogenic_depth, dip, mesh_spacing):
cls.check_fault_data(fault_trace, upper_seismogenic_depth,
lower_seismogenic_depth, dip, mesh_spacing)
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | SimpleFaultSurface.get_fault_patch_vertices | def get_fault_patch_vertices(cls, rupture_top_edge,
upper_seismogenic_depth,
lower_seismogenic_depth, dip, index_patch=1):
"""
Get surface main vertices.
Parameters are the same as for :meth:`from_fault_data`, excluding
fa... | python | def get_fault_patch_vertices(cls, rupture_top_edge,
upper_seismogenic_depth,
lower_seismogenic_depth, dip, index_patch=1):
dip_tan = math.tan(math.radians(dip))
hdist_bottom = (
lower_seismogenic_depth - uppe... | [
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | SimpleFaultSurface.hypocentre_patch_index | def hypocentre_patch_index(cls, hypocentre, rupture_top_edge,
upper_seismogenic_depth,
lower_seismogenic_depth, dip):
"""
This methods finds the index of the fault patch including
the hypocentre.
:param hypocentre:
... | python | def hypocentre_patch_index(cls, hypocentre, rupture_top_edge,
upper_seismogenic_depth,
lower_seismogenic_depth, dip):
totaln_patch = len(rupture_top_edge)
indexlist = []
dist_list = []
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | SimpleFaultSurface.get_surface_vertexes | def get_surface_vertexes(cls, fault_trace,
upper_seismogenic_depth,
lower_seismogenic_depth, dip):
"""
Get surface main vertexes.
Parameters are the same as for :meth:`from_fault_data`, excluding
mesh spacing.
:returns:
... | python | def get_surface_vertexes(cls, fault_trace,
upper_seismogenic_depth,
lower_seismogenic_depth, dip):
dip_tan = math.tan(math.radians(dip))
hdist_top = upper_seismogenic_depth / dip_tan
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gem/oq-engine | openquake/hazardlib/geo/surface/simple_fault.py | SimpleFaultSurface.surface_projection_from_fault_data | def surface_projection_from_fault_data(cls, fault_trace,
upper_seismogenic_depth,
lower_seismogenic_depth, dip):
"""
Get a surface projection of the simple fault surface.
Parameters are the same as for :meth:`... | python | def surface_projection_from_fault_data(cls, fault_trace,
upper_seismogenic_depth,
lower_seismogenic_depth, dip):
lons, lats = cls.get_surface_vertexes(fault_trace,
upper_s... | [
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006Asc.get_mean_and_stddevs | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
See :meth:`superclass method
<.base.GroundShakingIntensityModel.get_mean_and_stddevs>`
for spec of input and result values.
"""
# extracting dictionary of coefficients specific to required
#... | python | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
C = self.COEFFS_ASC[imt]
mean = self._compute_magnitude_term(C, rup.mag) +\
self._compute_distance_term(C, rup.mag, dists.rrup) +\
self._compute_f... | [
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006Asc._compute_distance_term | def _compute_distance_term(self, C, mag, rrup):
"""
Compute second and third terms in equation 1, p. 901.
"""
term1 = C['b'] * rrup
term2 = - np.log(rrup + C['c'] * np.exp(C['d'] * mag))
return term1 + term2 | python | def _compute_distance_term(self, C, mag, rrup):
term1 = C['b'] * rrup
term2 = - np.log(rrup + C['c'] * np.exp(C['d'] * mag))
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006Asc._compute_focal_depth_term | def _compute_focal_depth_term(self, C, hypo_depth):
"""
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"""
# p. 901. "(i.e, depth is capped at 125 km)".
focal_depth = hypo_depth
if focal_depth > 125.0:
focal_depth = 125.0
# p. 902. "We used the value of 1... | python | def _compute_focal_depth_term(self, C, hypo_depth):
focal_depth = hypo_depth
if focal_depth > 125.0:
focal_depth = 125.0
hc = 15.0
return float(focal_depth >= hc) * C['e'] * (focal_depth - hc) | [
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006Asc._compute_site_class_term | def _compute_site_class_term(self, C, vs30):
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"""
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site_term = np.zeros(len(vs30))
# hard rock
site_term[vs30 > 1100.0] = C['CH']
# rock
site_term[... | python | def _compute_site_class_term(self, C, vs30):
site_term = np.zeros(len(vs30))
site_term[vs30 > 1100.0] = C['CH']
site_term[(vs30 > 600) & (vs30 <= 1100)] = C['C1']
site_term[(vs30 > 300) & (vs30 <= 600)] = C['C2']
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006Asc._compute_magnitude_squared_term | def _compute_magnitude_squared_term(self, P, M, Q, W, mag):
"""
Compute magnitude squared term, equation 5, p. 909.
"""
return P * (mag - M) + Q * (mag - M) ** 2 + W | python | def _compute_magnitude_squared_term(self, P, M, Q, W, mag):
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006SSlab._compute_slab_correction_term | def _compute_slab_correction_term(self, C, rrup):
"""
Compute path modification term for slab events, that is
the 8-th term in equation 1, p. 901.
"""
slab_term = C['SSL'] * np.log(rrup)
return slab_term | python | def _compute_slab_correction_term(self, C, rrup):
slab_term = C['SSL'] * np.log(rrup)
return slab_term | [
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gem/oq-engine | openquake/hazardlib/gsim/zhao_2006.py | ZhaoEtAl2006AscSGS.get_mean_and_stddevs | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
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"""
dists_mod = copy.deepcopy(dists)
dists_mod.rrup[dists.rrup <= 5.] = 5.
return super().get_mean_and_stddevs(
sites, rup, dists_m... | python | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
dists_mod = copy.deepcopy(dists)
dists_mod.rrup[dists.rrup <= 5.] = 5.
return super().get_mean_and_stddevs(
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gem/oq-engine | openquake/engine/utils/__init__.py | confirm | def confirm(prompt):
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Ask for confirmation, given a ``prompt`` and return a boolean value.
"""
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except KeyboardInterrupt:
# the user presses ctrl+c, just say 'no'
return False
answer = answer.strip().lo... | python | def confirm(prompt):
while True:
try:
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except KeyboardInterrupt:
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answer = answer.strip().lower()
if answer not in ('y', 'n'):
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gem/oq-engine | openquake/risklib/asset.py | build_asset_array | def build_asset_array(assets_by_site, tagnames=(), time_event=None):
"""
:param assets_by_site: a list of lists of assets
:param tagnames: a list of tag names
:returns: an array `assetcol`
"""
for assets in assets_by_site:
if len(assets):
first_asset = assets[0]
b... | python | def build_asset_array(assets_by_site, tagnames=(), time_event=None):
for assets in assets_by_site:
if len(assets):
first_asset = assets[0]
break
else:
raise ValueError('There are no assets!')
loss_types = []
occupancy_periods = []
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gem/oq-engine | openquake/risklib/asset.py | _get_exposure | def _get_exposure(fname, stop=None):
"""
:param fname:
path of the XML file containing the exposure
:param stop:
node at which to stop parsing (or None)
:returns:
a pair (Exposure instance, list of asset nodes)
"""
[exposure] = nrml.read(fname, stop=stop)
if not expos... | python | def _get_exposure(fname, stop=None):
[exposure] = nrml.read(fname, stop=stop)
if not exposure.tag.endswith('exposureModel'):
raise InvalidFile('%s: expected exposureModel, got %s' %
(fname, exposure.tag))
description = exposure.description
try:
conversions ... | [
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gem/oq-engine | openquake/risklib/asset.py | CostCalculator.get_units | def get_units(self, loss_types):
"""
:param: a list of loss types
:returns: an array of units as byte strings, suitable for HDF5
"""
lst = []
for lt in loss_types:
if lt.endswith('_ins'):
lt = lt[:-4]
if lt == 'occupants':
... | python | def get_units(self, loss_types):
lst = []
for lt in loss_types:
if lt.endswith('_ins'):
lt = lt[:-4]
if lt == 'occupants':
unit = 'people'
else:
unit = self.units[lt]
lst.append(encode(unit))
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gem/oq-engine | openquake/risklib/asset.py | Asset.value | def value(self, loss_type, time_event=None):
"""
:returns: the total asset value for `loss_type`
"""
if loss_type == 'occupants':
return self.values['occupants_' + str(time_event)]
try: # extract from the cache
val = self._cost[loss_type]
except K... | python | def value(self, loss_type, time_event=None):
if loss_type == 'occupants':
return self.values['occupants_' + str(time_event)]
try:
val = self._cost[loss_type]
except KeyError:
val = self.calc(loss_type, self.values, self.area, self.number)
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gem/oq-engine | openquake/risklib/asset.py | Asset.deductible | def deductible(self, loss_type, dummy=None):
"""
:returns: the deductible fraction of the asset cost for `loss_type`
"""
val = self.calc(loss_type, self.deductibles, self.area, self.number)
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val = self.calc(loss_type, self.deductibles, self.area, self.number)
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gem/oq-engine | openquake/risklib/asset.py | Asset.insurance_limit | def insurance_limit(self, loss_type, dummy=None):
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gem/oq-engine | openquake/risklib/asset.py | Asset.retrofitted | def retrofitted(self):
"""
:returns: the asset retrofitted value
"""
return self.calc('structural', {'structural': self._retrofitted},
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gem/oq-engine | openquake/risklib/asset.py | Asset.tagmask | def tagmask(self, tags):
"""
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"""
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for t, tag in enumerate(tags):
tagname, tagvalue = tag.split('=')
mask[t] = self.tagvalue(tagname) == tagvalue
return... | python | def tagmask(self, tags):
mask = numpy.zeros(len(tags), bool)
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mask[t] = self.tagvalue(tagname) == tagvalue
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gem/oq-engine | openquake/risklib/asset.py | TagCollection.add | def add(self, tagname, tagvalue):
"""
:returns: numeric index associated to the tag
"""
dic = getattr(self, tagname + '_idx')
try:
return dic[tagvalue]
except KeyError:
dic[tagvalue] = idx = len(dic)
getattr(self, tagname).append(tagval... | python | def add(self, tagname, tagvalue):
dic = getattr(self, tagname + '_idx')
try:
return dic[tagvalue]
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dic[tagvalue] = idx = len(dic)
getattr(self, tagname).append(tagvalue)
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gem/oq-engine | openquake/risklib/asset.py | TagCollection.add_tags | def add_tags(self, dic, prefix):
"""
:param dic: a dictionary tagname -> tagvalue
:returns: a list of tag indices, one per tagname
"""
# fill missing tagvalues with "?", raise an error for unknown tagnames
idxs = []
for tagname in self.tagnames:
if tag... | python | def add_tags(self, dic, prefix):
idxs = []
for tagname in self.tagnames:
if tagname in ('exposure', 'country'):
idxs.append(self.add(tagname, prefix))
continue
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tagvalue = dic.pop(tagname)
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gem/oq-engine | openquake/risklib/asset.py | TagCollection.get_tag | def get_tag(self, tagname, tagidx):
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"""
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gem/oq-engine | openquake/risklib/asset.py | TagCollection.get_tagvalues | def get_tagvalues(self, tagnames, tagidxs):
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gem/oq-engine | openquake/risklib/asset.py | TagCollection.agg_shape | def agg_shape(self, shp, aggregate_by):
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gem/oq-engine | openquake/risklib/asset.py | AssetCollection.num_taxonomies_by_site | def num_taxonomies_by_site(self):
"""
:returns: an array with the number of assets per each site
"""
dic = general.group_array(self.array, 'site_id')
num_taxonomies = numpy.zeros(self.tot_sites, U32)
for sid, arr in dic.items():
num_taxonomies[sid] = len(numpy... | python | def num_taxonomies_by_site(self):
dic = general.group_array(self.array, 'site_id')
num_taxonomies = numpy.zeros(self.tot_sites, U32)
for sid, arr in dic.items():
num_taxonomies[sid] = len(numpy.unique(arr['taxonomy']))
return num_taxonomies | [
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aids_by_tag = general.AccumDict(accum=set())
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tag = self.tagcol.get_tag(tagname, ass[tagname])
aids_by_tag[tag].add(aid)
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gem/oq-engine | openquake/risklib/asset.py | AssetCollection.assets_by_site | def assets_by_site(self):
"""
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"""
assets_by_site = [[] for sid in range(self.tot_sites)]
for i, ass in enumerate(self.array):
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assets_by_site = [[] for sid in range(self.tot_sites)]
for i, ass in enumerate(self.array):
assets_by_site[ass['site_id']].append(self[i])
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raise ValueError('Unknown tagname(s) %s' % missing)
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gem/oq-engine | openquake/risklib/asset.py | AssetCollection.agg_value | def agg_value(self, *tagnames):
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:returns:
the values of the exposure aggregated by tagnames as an array
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"""
aval = numpy.zeros((len(self), len(self.loss... | python | def agg_value(self, *tagnames):
aval = numpy.zeros((len(self), len(self.loss_types)), F32)
for asset in self:
for lti, lt in enumerate(self.loss_types):
if lt == 'occupants':
aval[asset['ordinal'], lti] = asset[lt + '_None']
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gem/oq-engine | openquake/risklib/asset.py | AssetCollection.reduce | def reduce(self, sitecol):
"""
:returns: a reduced AssetCollection on the given sitecol
"""
ok_indices = numpy.sum(
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axis=0, dtype=bool)
new = object.__new__(self.__class__)
vars(new).update(va... | python | def reduce(self, sitecol):
ok_indices = numpy.sum(
[self.array['site_id'] == sid for sid in sitecol.sids],
axis=0, dtype=bool)
new = object.__new__(self.__class__)
vars(new).update(vars(self))
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gem/oq-engine | openquake/risklib/asset.py | AssetCollection.reduce_also | def reduce_also(self, sitecol):
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arr = self.array[mask]
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gem/oq-engine | openquake/risklib/asset.py | Exposure.read | def read(fnames, calculation_mode='', region_constraint='',
ignore_missing_costs=(), asset_nodes=False, check_dupl=True,
tagcol=None, by_country=False):
"""
Call `Exposure.read(fname)` to get an :class:`Exposure` instance
keeping all the assets in memory or
`Exp... | python | def read(fnames, calculation_mode='', region_constraint='',
ignore_missing_costs=(), asset_nodes=False, check_dupl=True,
tagcol=None, by_country=False):
if by_country:
prefix2cc = countries.from_exposures(
os.path.basename(f) for f in fnames)
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gem/oq-engine | openquake/risklib/asset.py | Exposure._csv_header | def _csv_header(self):
"""
Extract the expected CSV header from the exposure metadata
"""
fields = ['id', 'number', 'taxonomy', 'lon', 'lat']
for name in self.cost_types['name']:
fields.append(name)
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fields.... | python | def _csv_header(self):
fields = ['id', 'number', 'taxonomy', 'lon', 'lat']
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gem/oq-engine | openquake/risklib/asset.py | Exposure._read_csv | def _read_csv(self):
"""
:yields: asset nodes
"""
expected_header = self._csv_header()
for fname in self.datafiles:
with open(fname, encoding='utf-8') as f:
fields = next(csv.reader(f))
header = set(fields)
if len(header... | python | def _read_csv(self):
expected_header = self._csv_header()
for fname in self.datafiles:
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fields = next(csv.reader(f))
header = set(fields)
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gem/oq-engine | openquake/risklib/asset.py | Exposure.get_mesh_assets_by_site | def get_mesh_assets_by_site(self):
"""
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"""
assets_by_loc = general.groupby(self, key=lambda a: a.location)
mesh = geo.Mesh.from_coords(list(assets_by_loc))
assets_by_site = [
assets_by_loc[lonlat] for lonlat in zi... | python | def get_mesh_assets_by_site(self):
assets_by_loc = general.groupby(self, key=lambda a: a.location)
mesh = geo.Mesh.from_coords(list(assets_by_loc))
assets_by_site = [
assets_by_loc[lonlat] for lonlat in zip(mesh.lons, mesh.lats)]
return mesh, assets_by_site | [
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gem/oq-engine | openquake/risklib/riskmodels.py | get_risk_files | def get_risk_files(inputs):
"""
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"""
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rfs = {}
job_ini = inputs['job_ini']
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gem/oq-engine | openquake/risklib/riskmodels.py | build_vf_node | def build_vf_node(vf):
"""
Convert a VulnerabilityFunction object into a Node suitable
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"""
nodes = [Node('imls', {'imt': vf.imt}, vf.imls),
Node('meanLRs', {}, vf.mean_loss_ratios),
Node('covLRs', {}, vf.covs)]
return Node(
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nodes = [Node('imls', {'imt': vf.imt}, vf.imls),
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Node('covLRs', {}, vf.covs)]
return Node(
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gem/oq-engine | openquake/risklib/riskmodels.py | get_risk_models | def get_risk_models(oqparam, kind='vulnerability vulnerability_retrofitted '
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"""
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an OqParam instance
:param kind:
a space-separated string with the kinds of risk models to read
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kinds = kind.split()
rmodels = AccumDict()
for kind in kinds:
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gem/oq-engine | openquake/risklib/riskmodels.py | rescale | def rescale(curves, values):
"""
Multiply the losses in each curve of kind (losses, poes) by the
corresponding value.
:param curves: an array of shape (A, 2, C)
:param values: an array of shape (A,)
"""
A, _, C = curves.shape
assert A == len(values), (A, len(values))
array = numpy.z... | python | def rescale(curves, values):
A, _, C = curves.shape
assert A == len(values), (A, len(values))
array = numpy.zeros((A, C), loss_poe_dt)
array['loss'] = [c * v for c, v in zip(curves[:, 0], values)]
array['poe'] = curves[:, 1]
return array | [
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gem/oq-engine | openquake/risklib/riskmodels.py | get_riskmodel | def get_riskmodel(taxonomy, oqparam, **extra):
"""
Return an instance of the correct riskmodel class, depending on the
attribute `calculation_mode` of the object `oqparam`.
:param taxonomy:
a taxonomy string
:param oqparam:
an object containing the parameters needed by the riskmodel... | python | def get_riskmodel(taxonomy, oqparam, **extra):
riskmodel_class = registry[oqparam.calculation_mode]
argnames = inspect.getfullargspec(riskmodel_class.__init__).args[3:]
known_args = set(name for name, value in
inspect.getmembers(oqparam.__class__)
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gem/oq-engine | openquake/risklib/riskmodels.py | RiskModel.get_loss_types | def get_loss_types(self, imt):
"""
:param imt: Intensity Measure Type string
:returns: loss types with risk functions of the given imt
"""
return [lt for lt in self.loss_types
if self.risk_functions[lt].imt == imt] | python | def get_loss_types(self, imt):
return [lt for lt in self.loss_types
if self.risk_functions[lt].imt == imt] | [
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | Beach | def Beach(fm, linewidth=2, facecolor='b', bgcolor='w', edgecolor='k',
alpha=1.0, xy=(0, 0), width=200, size=100, nofill=False,
zorder=100, axes=None):
"""
Return a beach ball as a collection which can be connected to an
current matplotlib axes instance (ax.add_collection).
S1, D1, a... | python | def Beach(fm, linewidth=2, facecolor='b', bgcolor='w', edgecolor='k',
alpha=1.0, xy=(0, 0), width=200, size=100, nofill=False,
zorder=100, axes=None):
try:
assert(len(width) == 2)
except TypeError:
width = (width, width)
mt = None
np1 = None
if isinstanc... | [
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | Beachball | def Beachball(fm, linewidth=2, facecolor='b', bgcolor='w', edgecolor='k',
alpha=1.0, xy=(0, 0), width=200, size=100, nofill=False,
zorder=100, outfile=None, format=None, fig=None):
"""
Draws a beach ball diagram of an earthquake focal mechanism.
S1, D1, and R1, the strike, dip a... | python | def Beachball(fm, linewidth=2, facecolor='b', bgcolor='w', edgecolor='k',
alpha=1.0, xy=(0, 0), width=200, size=100, nofill=False,
zorder=100, outfile=None, format=None, fig=None):
plot_width = width * 0.95
if not fig:
fig = plt.figure(figsize=(3, 3), dpi=100)
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | plotMT | def plotMT(T, N, P, size=200, plot_zerotrace=True,
x0=0, y0=0, xy=(0, 0), width=200):
"""
Uses a principal axis T, N and P to draw a beach ball plot.
:param ax: axis object of a matplotlib figure
:param T: :class:`~PrincipalAxis`
:param N: :class:`~PrincipalAxis`
:param P: :class:`~P... | python | def plotMT(T, N, P, size=200, plot_zerotrace=True,
x0=0, y0=0, xy=(0, 0), width=200):
try:
assert(len(width) == 2)
except TypeError:
width = (width, width)
collect = []
colors = []
res = [value / float(size) for value in width]
b = 1
big_iso = 0
j = 1... | [
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | plotDC | def plotDC(np1, size=200, xy=(0, 0), width=200):
"""
Uses one nodal plane of a double couple to draw a beach ball plot.
:param ax: axis object of a matplotlib figure
:param np1: :class:`~NodalPlane`
Adapted from MATLAB script
`bb.m <http://www.ceri.memphis.edu/people/olboyd/Software/Software.h... | python | def plotDC(np1, size=200, xy=(0, 0), width=200):
try:
assert(len(width) == 2)
except TypeError:
width = (width, width)
S1 = np1.strike
D1 = np1.dip
R1 = np1.rake
M = 0
if R1 > 180:
R1 -= 180
M = 1
if R1 < 0:
R1 += 180
M = 1
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | StrikeDip | def StrikeDip(n, e, u):
"""
Finds strike and dip of plane given normal vector having components n, e,
and u.
Adapted from MATLAB script
`bb.m <http://www.ceri.memphis.edu/people/olboyd/Software/Software.html>`_
written by Andy Michael and Oliver Boyd.
"""
r2d = 180 / np.pi
if u < 0:... | python | def StrikeDip(n, e, u):
r2d = 180 / np.pi
if u < 0:
n = -n
e = -e
u = -u
strike = np.arctan2(e, n) * r2d
strike = strike - 90
while strike >= 360:
strike = strike - 360
while strike < 0:
strike = strike + 360
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | AuxPlane | def AuxPlane(s1, d1, r1):
"""
Get Strike and dip of second plane.
Adapted from MATLAB script
`bb.m <http://www.ceri.memphis.edu/people/olboyd/Software/Software.html>`_
written by Andy Michael and Oliver Boyd.
"""
r2d = 180 / np.pi
z = (s1 + 90) / r2d
z2 = d1 / r2d
z3 = r1 / r2d... | python | def AuxPlane(s1, d1, r1):
r2d = 180 / np.pi
z = (s1 + 90) / r2d
z2 = d1 / r2d
z3 = r1 / r2d
sl1 = -np.cos(z3) * np.cos(z) - np.sin(z3) * np.sin(z) * np.cos(z2)
sl2 = np.cos(z3) * np.sin(z) - np.sin(z3) * np.cos(z) * np.cos(z2)
sl3 = np.sin(z3) * np.sin(z2)
(strike, dip) = Stri... | [
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | MT2Plane | def MT2Plane(mt):
"""
Calculates a nodal plane of a given moment tensor.
:param mt: :class:`~MomentTensor`
:return: :class:`~NodalPlane`
Adapted from MATLAB script
`bb.m <http://www.ceri.memphis.edu/people/olboyd/Software/Software.html>`_
written by Andy Michael and Oliver Boyd.
"""
... | python | def MT2Plane(mt):
(d, v) = np.linalg.eig(mt.mt)
D = np.array([d[1], d[0], d[2]])
V = np.array([[v[1, 1], -v[1, 0], -v[1, 2]],
[v[2, 1], -v[2, 0], -v[2, 2]],
[-v[0, 1], v[0, 0], v[0, 2]]])
IMAX = D.argmax()
IMIN = D.argmin()
AE = (V[:, IMAX] + V[:, IMIN]) ... | [
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | TDL | def TDL(AN, BN):
"""
Helper function for MT2Plane.
Adapted from MATLAB script
`bb.m <http://www.ceri.memphis.edu/people/olboyd/Software/Software.html>`_
written by Andy Michael and Oliver Boyd.
"""
XN = AN[0]
YN = AN[1]
ZN = AN[2]
XE = BN[0]
YE = BN[1]
ZE = BN[2]
AAA... | python | def TDL(AN, BN):
XN = AN[0]
YN = AN[1]
ZN = AN[2]
XE = BN[0]
YE = BN[1]
ZE = BN[2]
AAA = 1.0 / (1000000)
CON = 57.2957795
if np.fabs(ZN) < AAA:
FD = 90.
AXN = np.fabs(XN)
if AXN > 1.0:
AXN = 1.0
FT = np.arcsin(AXN) * CON
ST = -... | [
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gem/oq-engine | openquake/hmtk/plotting/beachball.py | MT2Axes | def MT2Axes(mt):
"""
Calculates the principal axes of a given moment tensor.
:param mt: :class:`~MomentTensor`
:return: tuple of :class:`~PrincipalAxis` T, N and P
Adapted from ps_tensor / utilmeca.c /
`Generic Mapping Tools (GMT) <http://gmt.soest.hawaii.edu>`_.
"""
(D, V) = np.linalg... | python | def MT2Axes(mt):
(D, V) = np.linalg.eigh(mt.mt)
pl = np.arcsin(-V[0])
az = np.arctan2(V[2], -V[1])
for i in range(0, 3):
if pl[i] <= 0:
pl[i] = -pl[i]
az[i] += np.pi
if az[i] < 0:
az[i] += 2 * np.pi
if az[i] > 2 * np.pi:
az[i] ... | [
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gem/oq-engine | openquake/hmtk/strain/strain_utils.py | calculate_taper_function | def calculate_taper_function(obs_threshold_moment, sel_threshold_moment,
corner_moment, beta):
'''
Calculates the tapering function of the tapered Gutenberg & Richter model:
as described in Bird & Liu (2007)::
taper_function = (M_0(M_T) / M_0(M_T^{CMT}))^-beta x exp((M_0(m... | python | def calculate_taper_function(obs_threshold_moment, sel_threshold_moment,
corner_moment, beta):
argument = (obs_threshold_moment - sel_threshold_moment) /\
corner_moment
if argument < -100.0:
g_function = 0.0
else:
g_function = ((sel_threshold_moment ... | [
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gem/oq-engine | openquake/hmtk/strain/strain_utils.py | tapered_gutenberg_richter_cdf | def tapered_gutenberg_richter_cdf(moment, moment_threshold, beta,
corner_moment):
'''
Tapered Gutenberg Richter Cumulative Density Function
:param float or numpy.ndarray moment:
Moment for calculation of rate
:param float or numpy.ndarray moment_threshold:
... | python | def tapered_gutenberg_richter_cdf(moment, moment_threshold, beta,
corner_moment):
cdf = np.exp((moment_threshold - moment) / corner_moment)
return ((moment / moment_threshold) ** (-beta)) * cdf | [
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gem/oq-engine | openquake/hmtk/strain/strain_utils.py | tapered_gutenberg_richter_pdf | def tapered_gutenberg_richter_pdf(moment, moment_threshold, beta,
corner_moment):
'''
Tapered Gutenberg-Richter Probability Density Function
:param float or numpy.ndarray moment:
Moment for calculation of rate
:param float or numpy.ndarray moment_threshold:
... | python | def tapered_gutenberg_richter_pdf(moment, moment_threshold, beta,
corner_moment):
return ((beta / moment + 1. / corner_moment) *
tapered_gutenberg_richter_cdf(moment, moment_threshold, beta,
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gem/oq-engine | openquake/engine/export/core.py | check_version | def check_version(dstore):
"""
:param dstore: a DataStore instance
:returns:
a message if the stored version is different from the current version
"""
ds_version = dstore.hdf5.attrs['engine_version']
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ds_version = dstore.hdf5.attrs['engine_version']
if ds_version != __version__:
return (': the datastore is at version %s, but the exporter at '
'version %s' % (ds_version, __version__))
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gem/oq-engine | openquake/engine/export/core.py | export_from_db | def export_from_db(output_key, calc_id, datadir, target):
"""
:param output_key: a pair (ds_key, fmt)
:param calc_id: calculation ID
:param datadir: directory containing the datastore
:param target: directory, temporary when called from the engine server
:returns: the list of exported path names... | python | def export_from_db(output_key, calc_id, datadir, target):
makedirs(target)
export.from_db = True
ds_key, fmt = output_key
with datastore.read(calc_id, datadir=datadir) as dstore:
dstore.export_dir = target
try:
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except Excepti... | [
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gem/oq-engine | openquake/engine/export/core.py | makedirs | def makedirs(path):
"""
Make all of the directories in the ``path`` using `os.makedirs`.
"""
if os.path.exists(path):
if not os.path.isdir(path):
# If it's not a directory, we can't do anything.
# This is a problem
raise RuntimeError('%s already exists and is ... | python | def makedirs(path):
if os.path.exists(path):
if not os.path.isdir(path):
raise RuntimeError('%s already exists and is not a directory.'
% path)
else:
os.makedirs(path) | [
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gem/oq-engine | openquake/engine/export/core.py | get_outkey | def get_outkey(dskey, export_types):
"""
Extract the first pair (dskey, exptype) found in export
"""
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if (dskey, exptype) in export:
return (dskey, exptype) | python | def get_outkey(dskey, export_types):
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gem/oq-engine | openquake/engine/export/core.py | export_output | def export_output(dskey, calc_id, datadir, target_dir, export_types):
"""
Simple UI wrapper around
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a summary of files exported, if any.
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outkey = get_outkey(dskey, export_types.split(','))
if export_types and not outkey:
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outkey = get_outkey(dskey, export_types.split(','))
if export_types and not outkey:
yield 'There is no exporter for %s, %s' % (dskey, export_types)
return
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gem/oq-engine | openquake/hmtk/seismicity/max_magnitude/base.py | _get_observed_mmax | def _get_observed_mmax(catalogue, config):
'''Check see if observed mmax values are input, if not then take
from the catalogue'''
if config['input_mmax']:
obsmax = config['input_mmax']
if config['input_mmax_uncertainty']:
return config['input_mmax'], config['input_mmax_uncertaint... | python | def _get_observed_mmax(catalogue, config):
if config['input_mmax']:
obsmax = config['input_mmax']
if config['input_mmax_uncertainty']:
return config['input_mmax'], config['input_mmax_uncertainty']
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gem/oq-engine | openquake/hmtk/seismicity/max_magnitude/base.py | _get_magnitude_vector_properties | def _get_magnitude_vector_properties(catalogue, config):
'''If an input minimum magnitude is given then consider catalogue
only above the minimum magnitude - returns corresponding properties'''
mmin = config.get('input_mmin', np.min(catalogue['magnitude']))
neq = np.float(np.sum(catalogue['magnitude'] ... | python | def _get_magnitude_vector_properties(catalogue, config):
mmin = config.get('input_mmin', np.min(catalogue['magnitude']))
neq = np.float(np.sum(catalogue['magnitude'] >= mmin - 1.E-7))
return neq, mmin | [
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gem/oq-engine | openquake/hazardlib/gsim/campbell_1997.py | Campbell1997.get_mean_and_stddevs | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
See :meth:`superclass method
<.base.GroundShakingIntensityModel.get_mean_and_stddevs>`
for spec of input and result values.
"""
R = (dists.rrup)
M = rup.mag
# get constants
S... | python | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
R = (dists.rrup)
M = rup.mag
Ssr = self.get_Ssr_term(sites.vs30)
Shr = self.get_Shr_term(sites.vs30)
rake = rup.rake
F = self.get_fault_term(rake)
mean = -3.512 + (0.... | [
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gem/oq-engine | openquake/hazardlib/gsim/campbell_1997.py | Campbell1997.get_fault_term | def get_fault_term(self, rake):
"""
Returns coefficient for faulting style (pg 156)
"""
rake = rake + 360 if rake < 0 else rake
if (rake >= 45) & (rake <= 135):
f = 1.
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f = 0.5
else:
f = 0.
... | python | def get_fault_term(self, rake):
rake = rake + 360 if rake < 0 else rake
if (rake >= 45) & (rake <= 135):
f = 1.
elif (rake >= 225) & (rake <= 315):
f = 0.5
else:
f = 0.
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gem/oq-engine | openquake/hazardlib/gsim/campbell_1997.py | Campbell1997.get_stddevs | def get_stddevs(self, mean, stddev_types):
"""
Returns the standard deviations from mean (pg 164; more robust than
estimate using magnitude)
"""
mean = np.exp(mean)
sigma = 0.39 + np.zeros(mean.shape)
sigma[mean < 0.068] = 0.55
idx = np.logical_and(mean >=... | python | def get_stddevs(self, mean, stddev_types):
mean = np.exp(mean)
sigma = 0.39 + np.zeros(mean.shape)
sigma[mean < 0.068] = 0.55
idx = np.logical_and(mean >= 0.068, mean <= 0.21)
sigma[idx] = 0.173- 0.140 * np.log(mean[idx])
stddevs = []
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gem/oq-engine | openquake/hazardlib/gsim/tavakoli_pezeshk_2005.py | TavakoliPezeshk2005.get_mean_and_stddevs | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
See :meth:`superclass method
<.base.GroundShakingIntensityModel.get_mean_and_stddevs>`
for spec of input and result values.
"""
# extracting dictionary of coefficients
C = self.COEFFS[imt]
... | python | def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
C = self.COEFFS[imt]
mag = self._convert_magnitude(rup.mag)
f1 = self._compute_magnitude_scaling_term(C, mag)
f2 = self._compute_geometrical_spreading_term(C, dists.rrup)
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gem/oq-engine | openquake/hazardlib/gsim/tavakoli_pezeshk_2005.py | TavakoliPezeshk2005._get_stddevs | def _get_stddevs(self, C, stddev_types, num_sites, mag):
"""
Returns standard deviation as defined in equation 23, page 2291
(Tavakoli and Pezeshk, 2005)
"""
stddevs = []
sigma = (C['c14'] + C['c15'] * mag) if mag < 7.2 else C['c16']
vals = sigma * np.ones((num_si... | python | def _get_stddevs(self, C, stddev_types, num_sites, mag):
stddevs = []
sigma = (C['c14'] + C['c15'] * mag) if mag < 7.2 else C['c16']
vals = sigma * np.ones((num_sites))
for _ in stddev_types:
stddevs.append(vals)
return stddevs | [
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gem/oq-engine | openquake/hazardlib/gsim/tavakoli_pezeshk_2005.py | TavakoliPezeshk2005._compute_magnitude_scaling_term | def _compute_magnitude_scaling_term(self, C, mag):
"""
Compute magnitude scaling term as defined in equation 19, page 2291
(Tavakoli and Pezeshk, 2005)
"""
assert mag <= 8.5
return C['c1'] + C['c2'] * mag + C['c3'] * (8.5 - mag) ** 2.5 | python | def _compute_magnitude_scaling_term(self, C, mag):
assert mag <= 8.5
return C['c1'] + C['c2'] * mag + C['c3'] * (8.5 - mag) ** 2.5 | [
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gem/oq-engine | openquake/hazardlib/gsim/tavakoli_pezeshk_2005.py | TavakoliPezeshk2005._compute_geometrical_spreading_term | def _compute_geometrical_spreading_term(self, C, rrup):
"""
Compute magnitude scaling term as defined in equation 19, page 2291
(Tavakoli and Pezeshk, 2005)
"""
f2 = np.ones_like(rrup)
idx1 = np.nonzero(rrup <= 70.)
idx2 = np.nonzero((rrup > 70.) & (rrup <= 130.))... | python | def _compute_geometrical_spreading_term(self, C, rrup):
f2 = np.ones_like(rrup)
idx1 = np.nonzero(rrup <= 70.)
idx2 = np.nonzero((rrup > 70.) & (rrup <= 130.))
idx3 = np.nonzero(rrup > 130.)
f2[idx1] = (C['c9'] * np.log(rrup[idx1] + 4.5))
f2[idx2] = (C['c10'] * ... | [
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