Releases: Sbozzolo/kuibit
1.5.2 / 1.5.1
Version 1.5.2 (2 July 2025)
(Version 1.5.2 doesn't really exist. Version 1.5.1 had a workflow error)
Version 1.5.1 (2 July 2025)
General
- Python 3.13 is now supported.
Bug fixes
- Added support to ready HDF5 files created with very old versions of Carpet (< 2012).
- Fixed calculation of masses in
hor_utils. Previously the mass was assumed
proportional to the area (and not its squared root) (@xuyumeng) - Fixed outdated call to
scipy.integrated.cumtrapz(@meyersbs) - Fixed applications of window functions with new versions of SciPy
- Fixed NumPy deprecation warnings
1.5.0
Version 1.5.0 (19 June 2024)
General
- Python 3.12 is now supported, Python 3.8.1 is required for development.
total_filesizenow errors out when directories are passed.
Features
- Added experimental support for reading OpenPMD files (with most of the heavy-lifting done by @krishivbhatia). Please, report any issue you might find.
1.4.0
Version 1.4.0 (2 May 2023)
General
- Minimum version of Python required is now 3.7.
kuibitnow explicitly follows NEP29. - Started gradual typing
- Now
SimDircan be imported directly fromkuibit(from kuibit import SimDir) - Update logo to high resolution (and vector graphics)
Features
- Added linear momentum lost by gravitational waves along the x and y directions (starting from a contribution by @konrad-topolski)
- Added
Treedata structure - Added
effective_amplitude_spectral_densitywithingw_utils(starting from a contribution by @irrationalnumbers, #27) - Added fourth order accuracy in finite differences of grid functions
- Added
copyto gravitational and electromagnetic waves - Added
cropandcroppedto multipole data setup_matplotlibnow takes an optional parameterrc_param_fileto configure matplotlib using a file- Added computation of linear momentum lost by electromagnetic waves
- Added
rotation180_symmetry_undoto undo rotational symmetries in grid data - Added
cactus_twopuncturesto read metadata from TwoPunctures - Added
local_maximaandlocal_minimato series - Added
mean,average,median,stdreductions to series and grid data - Added
ah_available,qlm_availabletoOneHorizon - Added
tensormodule - Added support to
surface*.vtkfromQuasiLocalMeasures
Support to VTK variables from QuasiLocalMeasures
QuasiLocalMeasures has an option to output its variables on the horizon. Now, kuibit can read and parse them, so it is possible to plot horizon meshes and variables onto the mesh.
New tensor module
kuibit.tensor is a new module to provide high-level interfaces to work with tensorial objects. A Tensor can be built with collections of TimeSeries, FrequencySeries, UniformGridData, HierarchicalGridData, or any other class derived from BaseNumerical. Tensors support all the mathematical operations and inherit the methods from their contained object. At the moment, there are two new subclasses of Tensor that implement additional features for vector calculus. For example, if bh_cen is a Vector with the time evolution of the centroid of an horizon. bh_cen.differentiated().norm() will be a TimeSeries with the magnitude of the coordinate velocity as a function of time (as a TimeSeries).
Currently, the number of specialized methods in Vector and Matrix is not large. Nonetheless, the infrastructure is in place and adding new will be straightforward.
New cactus_twopunctures module
TwoPunctures creates a metadata file that stores important physical information about the initial data. The new module cactus_twopunctures can read this information and present it as a dictionary. If sim is a SimFactory, sim.twopunctures will be a dictionary-like object that has as keys the various quantities saved by TwoPunctures and as values, their values as read from the TwoPunctures.bbh` file.
New tree module
kuibit.tree is a new module that can represent tree structures. At the moment, it is main use is to work with timer trees.
New hor_utils module
kuibit.hor_utils is a handy new module that implements common functions needed when working with binary black holes. At the moment, the functions implemented are:
compute_separation_vectorcompute_separationcompute_center_of_masscompute_angular_velocity_vector
Bug fixes
- Fix passing an empty
ah_varstoOneHorizon. - Fix floating-point comparison in
grid_data. - Fix optional positional arguments to
series._local_extrema. - Fix algorithm to compute hash for
UniformGrid. - Make classes that should not hashed unhashable.
GravitationalWavesnow find multipole variables that containpsi4(as opposed to being identically toPsi4)
Detector sensitivity curves
New/updated examples
Scripts:
describe_simdir.pyinteractive_timertree.pyprint_available_iteration.pyoptionally prints the corresponding timeplot_charge_phi1.pyplot_binary_ah_angular_velocity.pyplot_binary_ah_period.py
1.3.6
Version 1.3.6 (5 July 2022)
Bug fixes
- Fix time incorrectly read in ASCII data (thanks @AuroraDysis,
#30)
1.3.5
Version 1.3.5 (14 June 2022)
Bug fixes
- Fix str representation of multipoles
- Fix implicit plotting of
Seriesformatplotlib >= 3.5.2 - Fix
test_initintest_cactus_grid_function
1.3.4
Version 1.3.4 (22 April 2022)
General
- Improvements to documentation and docstrings
Bug fixes
- Added error in
_plot_horizon_on_planewhen the horizon cannot be plotted - Updated NumPy types (np.int -> int, np.float -> float)
- Windowing uneven signals is no longer allowed
- Correctly remove ghost zones for 1-2D HDF5 files
- Fix deprecation warning for Matplotlib 3.4
- Fix
is_maskedafter removing a mask (thanks @ekwessel, #28) - Fix some information not being propagated by
grid_data_utils.merge_uniform_grids.
New examples
Scripts:
plot_ah_trajectories.py
1.3.3
Version 1.3.3 (19 November 2021)
Bug fixes
- Fixed
tikzplotlibdependency forPython 3.6
1.3.2
Version 1.3.2 (16 November 2021)
Bug fixes
- Examples with
plot_components_boundariesnow respect axes limits - Improved support to installing
mayavi Python 3.10is now supported (with exception ofnumba)- Fixed parity in
reflection_symmetry_undo
1.3.1
Version 1.3.1 (4 November 2021)
Bug fixes
h5py >= 3is now supported
1.3.0
Version 1.3.0 (28 October 2021)
SimDir can now be cached in pickle files
kuibit tries to do as much lazy-loading as possible. For examples, files are opened only when needed. When analyzing simulations it is useful to save the work done by kuibit to avoid re-doing the same operations over and over. It is now possible to do this using pickle files. SimDir can now be used as a context manager and the progresses can be loaded and saved from files. For example:
with SimDir("path_of_simulation", pickle_file="simdir.pickle") as sim:
# do operationsIn this case, if pickle_file exists, it will be loaded (ignoring all the other arguments passed to SimDir), and it will be kept updated with the additional work done by kuibit. If pickle_file does not exist, the SimDir will be created as usual as a pickle_file will be generated.
It is important to stress that, when using pickles, no consistency check with the current state of the simulation is performed. If the simulation changes (e.g., new checkpoints are added), this will result in errors. In that case, a new pickle file must be produced.
Masked data
Numerical objects now support mask, which can be used to ignore part of the data that satisfy certain conditions (for example, to exclude the atmosphere from GRMHD computations).
Note that it is not possible to perform interpolation with masked data, so several methods will not work.
Note also that we mask only the data, not the independent coordinate (e.g., the time in TimeSeries or the spatial coordinates in the UniformGridData). In case you need masked coordinates too, you can use the mask method to obtain an array of booleans that identifies the valid data.
Series,UniformGridData,HierarhicalGridDatahave a new methodis_masked.Series,UniformGridData,HierarhicalGridDatahave a new methodmaskthat identifies where data is invalid.Series,UniformGridData,HierarhicalGridDatahave news methods to create masked data (e.g.,mask_greater). See complete list in documentation.Serieshave new methodsmask_removeandmask_removedto create objects without masked data.Serieshave new methodsmask_applyandmask_applyedto create objects with a given mask (as the one obtained with themaskmethod).
General
SimDircan be saved to disk with the methodsaveand read with the functionload_SimDir. This is useful to work with a simulation that has finished.- Examples can now use pickles.
- New CI workflow: linting.
- New
First Stepsdocumentation page. - When a release is published, its documentation is saved to
sbozzolo.github.io/kuibit/VERSION
Features
time_at_maximumandtime_at_minimuminTimeSeriescan now take the optional argumentabsolute.- Added
x_at_minimum_yandx_at_maximum_ytoBaseNumerical. - Added
coordinates_at_maximumandcoordinates_at_minimumfor grid data. - Added
HierarchicalGridData.is_complex(). - Added
tikz_clean_figuretovisualize_matplotlib.save, to
argparse_helper.add_figure, and to examples. This can be used to reduce
the size of outputtikzfiles. - Added
clear_cacheinOneGridFunction. - Added
plot_contour. - Added alias
time_foundtoformation_timein horizons. - Added
plot_components_boundaries. - Added
ghost_zones_removeinHierarchicalGridData - Added
add_grid_structure_to_parser. - Added
reflection_symmetry_undone.
Breaking changes
- The
ignoreparameter inSimDirhas been renamed toignored_dirs. - The
trim_endsparameter incactus_wavesis now set toFalseby default.
Bug fixes
plot_colorbardoes not steal axis focus anymore.- The legend in
plot_psi4_lmwas corrected. visualize_matplotlib.savenow correctly supports thefigureargument.plot_strain_lm.pyno longer crashes whenwindow_argsis not provided.HierarchicalGridDatanow owns the components.- Clear
OneGridFunctioncache ingrid_varto avoid death by OOM. - Uniform constructor of
GridSerieswith constructors of otherSeries. - Horizon properties now lead to valid python variable names.
New examples
Examples with --detector-num now also accept --num-detector as alias.
Scripts:
picklify.pyplot_1d_slice.pyplot_grid_expr.pyplot_phi_time_averaged.pyplot_gw_angular_momentum.pyprint_grid_point_minmax.py