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OpenQuake Engine 3.5.0
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@nastasi-oq nastasi-oq released this 13 May 14:37
· 132524 commits to master since this release
v3.5.0
af22abb

[Michele Simionato (@micheles)]

  • Added a view gmvs_to_hazard

[Giovanni Lanzano (@giovannilanzanoINGV)]

  • Lanzano and Luzi (2019) GMPE for volcanic zones in Italy

[Michele Simionato (@micheles)]

  • Now it is possible to export individual hazard curves from an event
    based calculation by setting hazard_curves_from_gmfs = true and
    `individual_curves = true (before only the statistics were saved)

[Graeme Weatherill (@g-weatherill)]

  • Adds adaptation of Abrahamson et al. (2016) 'BC Hydro' GMPEs calibrated
    to Mediterranean data and with epistemic adjustment factors

[Chris Van Houtte (@cvanhoutte)]

  • Added new class to bradley_2013b.py for hazard maps
  • Modified test case_37 to test multiple sites

[Marco Pagani (@mmpagani)]

  • Fixed a bug in the logic tree parser and added a check to forbid logic
    trees with applyToSources without applyToBranches, unless there is a
    single source model branch

[Michele Simionato (@micheles)]

  • Removed the experimental parameter prefilter_sources

[Daniele Viganò (@daniviga)]

  • Multiple DbServer ZMQ connections are restored to avoid errors under heavy
    load and/or on slower machines

[Michele Simionato (@micheles)]

  • Removed the ugly registration of custom signals at import time: now they
    are registered only if engine.run_calc is called
  • Removed the dependency from rtree
  • Removed all calls to ProcessPool.shutdown to speed up the tests and to
    avoid non-deterministic errors in atexit._run_exitfuncs

[Marco Pagani (@mmpagani)]

  • Added tabular GMPEs as provided by Michal Kolaj, Natural Resources Canada

[Michele Simionato (@micheles)]

  • Extended the ebrisk calculator to support coefficients of variations

[Graeme Weatherill (@g-weatherill)]

  • Adds Kotha et al (2019) shallow crustal GMPE for SERA
  • Adds 'ExperimentalWarning' to possible GMPE warnings
  • Adds kwargs to check_gsim function

[Michele Simionato (@micheles)]

  • Fixed problems like SA(0.7) != SA(0.70) in iml_disagg
  • Exposed the outputs of the classical calculation in event based
    calculations with compare_with_classical=true
  • Made it possible to serialize together all kind of risk functions,
    including consequence functions that before were not HDF5-serializable
  • Fixed a MemoryError when counting the number of bytes stored in large
    HDF5 datasets
  • Extended asset_hazard_distance to a dictionary for usage with multi_risk
  • Extended oq prepare_site_model to work with sites.csv files
  • Optimized the validation of the source model logic tree: now checking
    the sources IDs is 5x faster
  • Went back to the old logic in sampling: the weights are used for the
    sampling and the statistics are computed with identical weights
  • Avoided to transfer the epsilons by storing them in the cache file
    and changed the event to epsilons associations
  • Reduced the data transfer in the computation of the hazard curves, causing
    in some time huge speedups (over 100x)
  • Implemented a flag modal_damage_state to display only the most likely
    damage state in the output dmg_by_asset of scenario damage calculations
  • Reduced substantially the memory occupation in classical calculations
    by including the prefiltering phase in the calculation phase

[Daniele Viganò (@daniviga)]

  • Added a 'serialize_jobs' setting to the openquake.cfg
    which limits the maximum number of jobs that can be run in parallel

[Michele Simionato (@micheles)]

  • Fixed two exporters for the ebrisk calculator (agg_curves-stats and
    losses_by_event)
  • Fixed two subtle bugs when reading site_model.csv files
  • Added /extract/exposure_metadata and /extract/asset_risk
  • Introduced an experimental multi_risk calculator for volcanic risk

[Guillaume Daniel (@guyomd)]

  • Updating of Berge-Thierry (2003) GSIM and addition of several alternatives
    for use with Mw

[Michele Simionato (@micheles)]

  • Changed the classical_risk calculator to use the same loss ratios for all
    taxonomies and then optimized all risk calculators
  • Temporarily removed the insured_losses functionality
  • Extended oq restore to download from URLs
  • Removed the column 'gsims' from the output 'realizations'
  • Better parallelized the source splitting in classical calculations
  • Added a check for missing hazard in scenario_risk/scenario_damage
  • Improved the GsimLogicTree parser to get the line number information, a
    feature that was lost with the passage to Python 3.5
  • Added a check against mispellings in the loss type in the risk keys
  • Changed the aggregation WebAPI from
    aggregate_by/taxonomy,occupancy/avg_losses?kind=mean&loss_type=structural to
    aggregate/avg_losses?kind=mean&loss_type=structural&tag=taxonomy&tag=occupancy
  • Do not export the stddevs in scenario_damage in the case of 1 event
  • Fixed export bug for GMFs imported from a file
  • Fixed an encoding error when storing a GMPETable
  • Fixed an error while exporting the hazard curves generated by a GMPETable
  • Removed the deprecated feature aggregate_by/curves_by_tag
Assets 2
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