OpenQuake Engine 3.11.0

[Michele Simionato (@micheles)]

• Extended the collapse_logic_tree feature to scenarios and event based
  calculations
• Extended the taxonomy mapping feature to multiple loss types
• The error was not stored in the database if the calculation failed
  before starting
• Made ground_motion_fields=true mandatory in event_based_risk

[Robin Gee (@rcgee)]

• Added a check for missing soil_intensities in classical calculations
  with site amplification

[Michele Simionato (@micheles)]

• Documented all the parameters in a job.ini file, and removed some
  obsolete ones
• Added a CSV exporter for the output avg_gmf
• Fixed reporting in case of CorrelationButNoInterIntraStdDevs errors
• Better error message when the rupture is far away from the sitesa
• Made the calculation report exportable with --exports rst
• The boolean fields vs30measured and backarc where not cast correctly
  when read from a CSV field (the engine read them always as True)
• Extended oq plot to draw more than 2 plots
• Raised an early error for zero probabilities in the hypocenter distribution
  or the nodal plane distribution
• Extended the autostart zmq distribution logic to celery and dask
• Stored the _poes during the classical phase and not after, to save time
• Implemented a memory-saving logic in the classical calculator based on
  the memory.limit parameter in openquake.cfg;

[Richard Styron (@cossatot)]

• Added TaperedGRMFD to hazardlib

[Michele Simionato (@micheles)]

• Fixed a wrong check failing in the case of multi-exposures with multiple
  cost types
• Removed a check causing a false error "Missing vulnerability function
  for taxonomy"
• Consequence functions associated to a taxonomy missing in the exposure
  are now simply discarded, instead of raising an error
• Added a warning when there are zero losses for nonzero GMFs
• Added a command oq plot avg_gmf?imt=IMT
• Internal: stored avg_gmf as a DataFrame
• Honored the individual_curves parameter in avg_losses, agg_losses and
  and agg_curves (i.e. by default only expose the statistical results)
• Refactored the oq commands and removed the redundant oq help since
  there is oq --help instead
• Support for input URLs associated to an input archive
• Introduced deformation_component parameter in the secondary perils
• Optimized the storage of the risk model with a speedup of 60x
  for a calculation with ~50,000 fragility functions (2 minutes->2seconds)
  and a 3x reduction on disk space
• Accepted aggregate_by=id in scenario/event based calculations
• Accepted aggregate_by=site_id in scenario/event based calculations
• Removed the generation of asset loss maps from event_based_risk
• Made the "Aggregate Losses" output in scenario_risk consistent with
  event_based_risk and scenario_risk and supported aggregate_by
• Perform the disaggregation checks before starting the classical part
• Changed the "Aggregate Loss Curves" CSV exporter to generate a file for
  each realization, for consistency with the other exporters
• The ebrisk outputs "Total Losses" and "Total Loss Curves" are now included
  in the outputs "Aggregate Losses" and "Aggregate Curves"
• Introduced an agg_loss_table dataset and optimized the generation of
  aggregate loss curves (up to 100x speedup)
• Removed misleading zero losses in agg_losses.csv
• Fixed oq recompute_losses and renamed it to oq reaggregate
• Bug fix: ignore_covs=true now sets the coefficient of variations to zero

[Anirudh Rao (@raoanirudh)]

• Improved error handling of bad or zero coefficients of variation
  for the Beta distribution for vulnerability

[Michele Simionato (@micheles)]

• Fixed 32 bit rounding issues in scenario_risk: now the total losses and
  and the sum of the average losses are much closer
• Internal: made the loss type occupants a bit less special
• Documented oq to_nrml

[Claudia Mascandola (@mascandola)]

• Added the Lanzano et al. (2019) GMPE

[Michele Simionato (@micheles)]

• Honored minimum_asset_loss also in the fully aggregated loss table,
  not only in the partially aggregated loss tables and average losses
• Bug fixed: the log was disappearing in presence of an unrecognized
  variable in the job.ini
• Implemented minimum_asset_loss in scenario_risk for consistency
  with the ebrisk calculator
• Added a command oq plot gridded_sources?
• Fixed oq recompute_losses to expose the outputs to the database
• Fixed oq engine --run --params that was not working for
  the pointsource_distance
• Changed the meaning of the pointsource_distance approximation

[Marco Pagani (@mmpagani), Michele Simionato (@micheles), Thomas Chartier (@tomchartier)]

• Added experimental version of KiteSource and KiteSurface

[Michele Simionato (@micheles)]

• Changed the serialization of ruptures to support MultiSurfaces
• Fixed a small bug of logic in the WebUI: if the authentication is
  turned off, everyone must be able to see all calculations
• Fixed a bug in the calculation of averages losses in scenario_risk
  calculations in presence of sites with zero hazard
• Optimized the prefiltering by using a KDTree
• Experimental: implemented gridding of point sources
• Reduced slow tasks due to big complex fault sources
• Moved the parameter num_cores into openquake.cfg
• Internal: introduced the environment variable OQ_REDUCE
• Using pandas to export the GMF in CSV format
• Internal: required h5py == 2.10.0
• Internal: made the classical ruptures pandas-friendly
• Internal: made the damage distributions pandas-friendly

[Marco Pagani (@mmpagani)]

• Added a new type of undertainty for the seismic source characterisation
  logic tree called TruncatedGRFromSlipAbsolute
• Added a get_fault_surface_area method to sources

[Michele Simionato (@micheles)]

• Changed the source seed algorithm in event based calculations
• Added an estimate of the portfolio damage error due to the seed dependency
• Stored the damage distributions in a pandas-friendly way and extended
  DataStore.read_df to accept multi-indices

[Viktor Polak (@viktor76525)]

• Added the Phung et al. (2020) GMPE

[Michele Simionato (@micheles)]

• Implemented truncGutenbergRichterMFD from slip rate and rigidity
• Fixed bug when computing the damage distributions per asset and event
• Simplified/optimized the UCERF filtering

[Viktor Polak (@viktor76525)]

• Added the Chao et al. (2020) GMPE

[Michele Simionato (@micheles)]

• Introduced an early memory check in classical calculations
• Reduced the memory occupation in classical calculations
• Implemented AvgPoeGMPE
• Forbidded the usage of aggregate_by except in ebrisk calculations
• Added a check on valid branch ID names: only letters, digits and
  the characters "#:-_." are accepted
• Huge performance improvement for very complex logic trees
• Shortened the logic tree paths when exporting the realizations

[Graeme Weatherill (@g-weatherill)]

• Refactor of the Kotha et al. (2020) GMM and its adjustments for ESHM20

[Michele Simionato (@micheles)]

• Huge speedup in models with src_multiplicity > 1
• Fixed bug in source model logic tree sampling with more than 2 branchsets
• Fixed hazard maps all zeros for individual_curves=true and more than 1 site
• Fixed a bug in oq prepare_site_model when sites.csv is
  the same as the vs30.csv file and there is a grid spacing
• Speeding up the preclassical calculator
• Added an entry point /extract/eids_by_gsim for the QGIS plugin
• Internal: automatically convert the source IDs into unique IDs
• Changed scenario calculations to depend on the ses_seed, not the
  random_seed
• Added check on the versions of numpy, scipy and pandas between master and
  workers
• Added a check for large seed dependency in the GMFs and an estimate of the
  portfolio error due to the seed dependency

[Viktor Polak (@viktor76525)]

• Added fpeak site parameter
• Added the Hassani and Atkinson (2020) GMPE

[Marco Pagani (@mmpagani)]

• Added a check on DEFINED_FOR_REFERENCE_VELOCITY when using amplification
• Added a method to create a TruncatedGRMFD from a value of scalar seismic
  moment
• Added a method to the modifiable GMPE to add (or subtract) a delta std
• Added a method to the modifiable GMPE to set the total std as the sum of
  tau plus a delta