コード例 #1
0
ファイル: readinput.py プロジェクト: tieganh/oq-engine
def get_composite_source_model(oqparam, h5=None):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param h5:
         an open hdf5.File where to store the source info
    """
    ucerf = oqparam.calculation_mode.startswith('ucerf')
    source_model_lt = get_source_model_lt(oqparam, validate=not ucerf)
    trts = source_model_lt.tectonic_region_types
    trts_lower = {trt.lower() for trt in trts}
    reqv = oqparam.inputs.get('reqv', {})
    for trt in reqv:
        if trt.lower() not in trts_lower:
            raise ValueError('Unknown TRT=%s in %s [reqv]' %
                             (trt, oqparam.inputs['job_ini']))
    gsim_lt = get_gsim_lt(oqparam, trts or ['*'])
    p = source_model_lt.num_paths * gsim_lt.get_num_paths()
    if oqparam.number_of_logic_tree_samples:
        logging.info('Considering {:_d} logic tree paths out of {:_d}'.format(
            oqparam.number_of_logic_tree_samples, p))
    else:  # full enumeration
        if (oqparam.is_event_based() and
            (oqparam.ground_motion_fields or oqparam.hazard_curves_from_gmfs)
                and p > oqparam.max_potential_paths):
            raise ValueError(
                'There are too many potential logic tree paths (%d):'
                'use sampling instead of full enumeration or reduce the '
                'source model with oq reduce_sm' % p)
        logging.info('Potential number of logic tree paths = {:_d}'.format(p))

    if source_model_lt.on_each_source:
        logging.info('There is a logic tree on each source')
    ltmodels = get_ltmodels(oqparam, gsim_lt, source_model_lt, h5)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, ltmodels)
    key = operator.attrgetter('source_id', 'checksum')
    srcidx = 0
    if h5:
        info = hdf5.create(h5, 'source_info', source_info_dt)
    data = []
    for k, srcs in groupby(csm.get_sources(), key).items():
        for src in srcs:
            src.id = srcidx
        data.append((0, src.src_group_ids[0], src.source_id, src.code,
                     src.num_ruptures, 0, 0, 0, src.checksum, src._wkt))
        srcidx += 1
    if h5:
        hdf5.extend(info, numpy.array(data, source_info_dt))
    if oqparam.is_event_based():
        # initialize the rupture rup_id numbers before splitting/filtering; in
        # this way the serials are independent from the site collection
        csm.init_serials(oqparam.ses_seed)

    if oqparam.disagg_by_src:
        csm = csm.grp_by_src()  # one group per source

    csm.info.gsim_lt.check_imts(oqparam.imtls)
    return csm
コード例 #2
0
 def pre_execute(self):
     """
     parse the logic tree and source model input
     """
     self.sitecol = readinput.get_site_collection(self.oqparam)
     self.save_mesh()
     self.gsim_lt = readinput.get_gsim_lt(self.oqparam, [DEFAULT_TRT])
     self.smlt = readinput.get_source_model_lt(self.oqparam)
     parser = source.SourceModelParser(
         UCERFSourceConverter(self.oqparam.investigation_time,
                              self.oqparam.rupture_mesh_spacing))
     [self.source
      ] = parser.parse_sources(self.oqparam.inputs["source_model"])
     branches = sorted(self.smlt.branches.items())
     min_mag, max_mag = self.source.min_mag, None
     source_models = []
     num_gsim_paths = self.gsim_lt.get_num_paths()
     for ordinal, (name, branch) in enumerate(branches):
         tm = source.TrtModel(DEFAULT_TRT, [],
                              min_mag,
                              max_mag,
                              ordinal,
                              eff_ruptures=-1)
         sm = source.SourceModel(name, branch.weight, [name], [tm],
                                 num_gsim_paths, ordinal, 1)
         source_models.append(sm)
     self.csm = source.CompositeSourceModel(self.gsim_lt,
                                            self.smlt,
                                            source_models,
                                            set_weight=False)
     self.rup_data = {}
     self.infos = []
コード例 #3
0
ファイル: readinput.py プロジェクト: cbworden/oq-engine
def get_composite_source_model(oqparam, in_memory=True):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param in_memory:
        if False, just parse the XML without instantiating the sources
    """
    smodels = []
    grp_id = 0
    idx = 0
    gsim_lt = get_gsim_lt(oqparam)
    source_model_lt = get_source_model_lt(oqparam)
    if source_model_lt.on_each_source():
        logging.info('There is a logic tree on each source')
    for source_model in get_source_models(oqparam,
                                          gsim_lt,
                                          source_model_lt,
                                          in_memory=in_memory):
        for src_group in source_model.src_groups:
            src_group.sources = sorted(src_group, key=getid)
            src_group.id = grp_id
            for src in src_group:
                # there are two cases depending on the flag in_memory:
                # 1) src is a hazardlib source and has a src_group_id
                #    attribute; in that case the source has to be numbered
                # 2) src is a Node object, then nothing must be done
                if isinstance(src, Node):
                    continue
                src.src_group_id = grp_id
                src.id = idx
                idx += 1
            grp_id += 1
            if grp_id >= TWO16:
                # the limit is really needed only for event based calculations
                raise ValueError('There is a limit of %d src groups!' % TWO16)
        smodels.append(source_model)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, smodels,
                                      oqparam.optimize_same_id_sources)
    for sm in csm.source_models:
        counter = collections.Counter()
        for sg in sm.src_groups:
            for srcid in map(getid, sg):
                counter[srcid] += 1
        dupl = [srcid for srcid in counter if counter[srcid] > 1]
        if dupl:
            raise nrml.DuplicatedID('Found duplicated source IDs in %s: %s' %
                                    (sm, dupl))
    return csm
コード例 #4
0
def get_composite_source_model(oqparam, h5=None):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param h5:
         an open hdf5.File where to store the source info
    """
    ucerf = oqparam.calculation_mode.startswith('ucerf')
    source_model_lt = get_source_model_lt(oqparam, validate=not ucerf)
    trts = source_model_lt.tectonic_region_types
    trts_lower = {trt.lower() for trt in trts}
    reqv = oqparam.inputs.get('reqv', {})
    for trt in reqv:  # these are lowercase because they come from the job.ini
        if trt not in trts_lower:
            raise ValueError('Unknown TRT=%s in %s [reqv]' %
                             (trt, oqparam.inputs['job_ini']))
    gsim_lt = get_gsim_lt(oqparam, trts or ['*'])
    p = source_model_lt.num_paths * gsim_lt.get_num_paths()
    if oqparam.number_of_logic_tree_samples:
        logging.info('Considering {:,d} logic tree paths out of {:,d}'.format(
            oqparam.number_of_logic_tree_samples, p))
    else:  # full enumeration
        if (oqparam.is_event_based() and
            (oqparam.ground_motion_fields or oqparam.hazard_curves_from_gmfs)
                and p > oqparam.max_potential_paths):
            raise ValueError(
                'There are too many potential logic tree paths (%d):'
                'use sampling instead of full enumeration or reduce the '
                'source model with oq reduce_sm' % p)
        logging.info('Potential number of logic tree paths = {:,d}'.format(p))

    if source_model_lt.on_each_source:
        logging.info('There is a logic tree on each source')
    ltmodels = get_ltmodels(oqparam, gsim_lt, source_model_lt, h5)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, ltmodels)
    if oqparam.is_event_based():
        # initialize the rupture rup_id numbers before splitting/filtering; in
        # this way the serials are independent from the site collection
        csm.init_serials(oqparam.ses_seed)

    if oqparam.disagg_by_src:
        csm = csm.grp_by_src()  # one group per source

    csm.info.gsim_lt.check_imts(oqparam.imtls)
    return csm
コード例 #5
0
ファイル: readinput.py プロジェクト: panagop/oq-engine
def get_composite_source_model(oqparam, in_memory=True):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param in_memory:
        if False, just parse the XML without instantiating the sources
    """
    smodels = []
    grp_id = 0
    idx = 0

    def getid(src):
        try:
            return src.source_id
        except:
            return src['id']

    gsim_lt = get_gsim_lt(oqparam)
    source_model_lt = get_source_model_lt(oqparam)
    for source_model in get_source_models(oqparam,
                                          gsim_lt,
                                          source_model_lt,
                                          in_memory=in_memory):
        for src_group in source_model.src_groups:
            src_group.sources = sorted(src_group, key=getid)
            src_group.id = grp_id
            for src in src_group:
                # there are two cases depending on the flag in_memory:
                # 1) src is a hazardlib source and has a src_group_id
                #    attribute; in that case the source has to be numbered
                # 2) src is a Node object, then nothing must be done
                if isinstance(src, Node):
                    continue
                src.src_group_id = grp_id
                src.id = idx
                idx += 1
            grp_id += 1
            if grp_id >= TWO16:
                # the limit is really needed only for event based calculations
                raise ValueError('There is a limit of %d src groups!' % TWO16)
        smodels.append(source_model)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, smodels,
                                      in_memory)
    return csm
コード例 #6
0
ファイル: readinput.py プロジェクト: mtahara/oq-engine
def get_composite_source_model(oqparam, in_memory=True):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param in_memory:
        if False, just parse the XML without instantiating the sources
    """
    source_model_lt = get_source_model_lt(oqparam)
    smodels = []
    trt_id = 0
    idx = 0

    def getid(src):
        try:
            return src.source_id
        except:
            return src['id']

    gsim_lt = get_gsim_lt(oqparam)
    for source_model in get_source_models(oqparam,
                                          gsim_lt,
                                          source_model_lt,
                                          in_memory=in_memory):
        for trt_model in source_model.trt_models:
            trt_model.sources = sorted(trt_model, key=getid)
            trt_model.id = trt_id
            for src in trt_model:
                # there are two cases depending on the flag in_memory:
                # 1) src is a hazardlib source and has a trt_model_id
                #    attribute; in that case the source has to be numbered
                # 2) src is a Node object, then nothing must be done
                if hasattr(src, 'trt_model_id'):
                    # .trt_model_id is missing for source nodes
                    src.trt_model_id = trt_id
                    src.id = idx
                    idx += 1
            trt_id += 1
        smodels.append(source_model)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, smodels,
                                      in_memory)
    if hasattr(csm, 'weight'):
        csm.maxweight = math.ceil(csm.weight / (oqparam.concurrent_tasks or 1))
    return csm
コード例 #7
0
def get_composite_source_model(oqparam,
                               sitecol=None,
                               SourceProcessor=source.SourceFilterSplitter,
                               monitor=DummyMonitor(),
                               no_distribute=parallel.no_distribute()):
    """
    Build the source models by splitting the sources. If prefiltering is
    enabled, also reduce the GSIM logic trees in the underlying source models.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param sitecol:
        a :class:`openquake.hazardlib.site.SiteCollection` instance
    :param SourceProcessor:
        the class used to process the sources
    :param monitor:
        a monitor instance
    :param no_distribute:
        used to disable parallel splitting of the sources
    :returns:
        an iterator over :class:`openquake.commonlib.source.SourceModel`
    """
    processor = SourceProcessor(sitecol, oqparam.maximum_distance,
                                oqparam.area_source_discretization)
    source_model_lt = get_source_model_lt(oqparam)
    smodels = []
    trt_id = 0
    for source_model in get_source_models(oqparam,
                                          source_model_lt,
                                          processor.sitecol,
                                          in_memory=hasattr(
                                              processor, 'process')):
        for trt_model in source_model.trt_models:
            trt_model.id = trt_id
            trt_id += 1
        smodels.append(source_model)
    csm = source.CompositeSourceModel(source_model_lt, smodels)
    if sitecol is not None and hasattr(processor, 'process'):
        seqtime, partime = processor.process(csm, no_distribute)
        monitor.write(['fast sources filtering/splitting', str(seqtime), '0'])
        monitor.write(['slow sources filtering/splitting', str(partime), '0'])
        if not csm.get_sources():
            raise RuntimeError('All sources were filtered away')
    csm.count_ruptures()
    return csm
コード例 #8
0
def get_composite_source_model(oq):
    """
    :param oq: :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :returns: a `class:`openquake.commonlib.source.CompositeSourceModel`
    """
    [src_group] = nrml.to_python(
        oq.inputs["source_model"],
        SourceConverter(oq.investigation_time, oq.rupture_mesh_spacing))
    source_models = []
    gsim_lt = readinput.get_gsim_lt(oq, [DEFAULT_TRT])
    smlt = readinput.get_source_model_lt(oq)
    for sm in smlt.gen_source_models(gsim_lt):
        sg = copy.copy(src_group)
        sg.id = sm.ordinal
        sm.src_groups = [sg]
        sg.sources = [sg[0].new(sm.ordinal, sm.names)]
        source_models.append(sm)
    return source.CompositeSourceModel(gsim_lt, smlt, source_models)
コード例 #9
0
def get_composite_source_model(oqparam,
                               monitor=None,
                               in_memory=True,
                               srcfilter=SourceFilter(None, {})):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param monitor:
         a `openquake.baselib.performance.Monitor` instance
    :param in_memory:
        if False, just parse the XML without instantiating the sources
    :param srcfilter:
        if not None, use it to prefilter the sources
    """
    ucerf = oqparam.calculation_mode.startswith('ucerf')
    source_model_lt = get_source_model_lt(oqparam, validate=not ucerf)
    trts = source_model_lt.tectonic_region_types
    trts_lower = {trt.lower() for trt in trts}
    reqv = oqparam.inputs.get('reqv', {})
    for trt in reqv:  # these are lowercase because they come from the job.ini
        if trt not in trts_lower:
            raise ValueError('Unknown TRT=%s in %s [reqv]' %
                             (trt, oqparam.inputs['job_ini']))
    gsim_lt = get_gsim_lt(oqparam, trts or ['*'])
    p = source_model_lt.num_paths * gsim_lt.get_num_paths()
    if oqparam.number_of_logic_tree_samples:
        logging.info('Considering {:,d} logic tree paths out of {:,d}'.format(
            oqparam.number_of_logic_tree_samples, p))
    else:  # full enumeration
        if oqparam.is_event_based() and p > oqparam.max_potential_paths:
            raise ValueError(
                'There are too many potential logic tree paths (%d) '
                'use sampling instead of full enumeration' % p)
        logging.info('Potential number of logic tree paths = {:,d}'.format(p))

    if source_model_lt.on_each_source:
        logging.info('There is a logic tree on each source')
    if monitor is None:
        monitor = performance.Monitor()
    smodels = []
    for source_model in get_source_models(oqparam, gsim_lt, source_model_lt,
                                          monitor, in_memory, srcfilter):
        for src_group in source_model.src_groups:
            src_group.sources = sorted(src_group, key=getid)
            for src in src_group:
                # there are two cases depending on the flag in_memory:
                # 1) src is a hazardlib source and has a src_group_id
                #    attribute; in that case the source has to be numbered
                # 2) src is a Node object, then nothing must be done
                if isinstance(src, Node):
                    continue
        smodels.append(source_model)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, smodels,
                                      oqparam.optimize_same_id_sources)
    for sm in csm.source_models:
        counter = collections.Counter()
        for sg in sm.src_groups:
            for srcid in map(getid, sg):
                counter[srcid] += 1
        dupl = [srcid for srcid in counter if counter[srcid] > 1]
        if dupl:
            raise nrml.DuplicatedID('Found duplicated source IDs in %s: %s' %
                                    (sm, dupl))
    if not in_memory:
        return csm

    if oqparam.is_event_based():
        # initialize the rupture serial numbers before splitting/filtering; in
        # this way the serials are independent from the site collection
        csm.init_serials(oqparam.ses_seed)

    if oqparam.disagg_by_src:
        csm = csm.grp_by_src()  # one group per source

    csm.info.gsim_lt.check_imts(oqparam.imtls)
    return csm
コード例 #10
0
ファイル: readinput.py プロジェクト: mayerven/oq-engine
def get_composite_source_model(oqparam,
                               monitor=None,
                               in_memory=True,
                               split_all=True,
                               srcfilter=None):
    """
    Parse the XML and build a complete composite source model in memory.

    :param oqparam:
        an :class:`openquake.commonlib.oqvalidation.OqParam` instance
    :param monitor:
         a `openquake.baselib.performance.Monitor` instance
    :param in_memory:
        if False, just parse the XML without instantiating the sources
    :param split_all:
        if True, split all the sources in the models
    :param srcfilter:
        if not None, use it to prefilter the sources
    """
    smodels = []
    gsim_lt = get_gsim_lt(oqparam)
    source_model_lt = get_source_model_lt(oqparam)
    if oqparam.number_of_logic_tree_samples == 0:
        logging.info('Potential number of logic tree paths = {:,d}'.format(
            source_model_lt.num_paths * gsim_lt.get_num_paths()))
    if source_model_lt.on_each_source:
        logging.info('There is a logic tree on each source')
    if monitor is None:
        monitor = performance.Monitor()
    for source_model in get_source_models(oqparam,
                                          gsim_lt,
                                          source_model_lt,
                                          monitor,
                                          in_memory=in_memory):
        for src_group in source_model.src_groups:
            src_group.sources = sorted(src_group, key=getid)
            for src in src_group:
                # there are two cases depending on the flag in_memory:
                # 1) src is a hazardlib source and has a src_group_id
                #    attribute; in that case the source has to be numbered
                # 2) src is a Node object, then nothing must be done
                if isinstance(src, Node):
                    continue
        smodels.append(source_model)
    csm = source.CompositeSourceModel(gsim_lt, source_model_lt, smodels,
                                      oqparam.optimize_same_id_sources)
    for sm in csm.source_models:
        counter = collections.Counter()
        for sg in sm.src_groups:
            for srcid in map(getid, sg):
                counter[srcid] += 1
        dupl = [srcid for srcid in counter if counter[srcid] > 1]
        if dupl:
            raise nrml.DuplicatedID('Found duplicated source IDs in %s: %s' %
                                    (sm, dupl))
    if not in_memory:
        return csm

    if 'event_based' in oqparam.calculation_mode:
        if oqparam.pointsource_distance == 0:
            # remove splitting/floating ruptures
            for src in csm.get_sources():
                if hasattr(src, 'hypocenter_distribution'):
                    src.hypocenter_distribution.reduce()
                    src.nodal_plane_distribution.reduce()
                    src.num_ruptures = src.count_ruptures()

        # initialize the rupture serial numbers before splitting/filtering; in
        # this way the serials are independent from the site collection
        csm.init_serials(oqparam.ses_seed)

    # TODO: check why the seeds still depend on the minimun_magnitude
    set_min_mag(csm.get_sources(), oqparam.minimum_magnitude)

    if oqparam.disagg_by_src:
        csm = csm.grp_by_src()  # one group per source

    csm.info.gsim_lt.check_imts(oqparam.imtls)
    if monitor.hdf5:
        csm.info.gsim_lt.store_gmpe_tables(monitor.hdf5)

    # splitting assumes that the serials have been initialized already
    if split_all and 'ucerf' not in oqparam.calculation_mode:
        csm = parallel_split_filter(csm, srcfilter, oqparam.random_seed,
                                    monitor('prefilter'))
    return csm