- Fixed the axis ordering of OpenPMD grid data by respecting mesh axis labels. Thanks Allen Wen for reporting. (Max Rizzo)
(Version 1.6.1 does not really exist. Version 1.6.0 was not correctly published because I don't make releases frequently enough.)
- Minimum version of Python required is now 3.9.
- Support
IOScalar::all_reductions_in_one_file, in preparation for CarpetX norms. (Max Rizzo, #51) - Support CarpetX norm files
norms/<thorn>-<group>.tsv. (Max Rizzo, #53)
- Fixed reading OpenPMD files with mesh names that do not conform to the
<basename>_rl<N>or<basename>_lev<N>names (e.g.,odesolvers_do_substeps, as reported by Steven Brandt) - Fixed reading openPMD grid coordinates for non-vertex-centered variables; all CarpetX centering types are now supported. Added a corresponding test with sample openPMD data. (Max Rizzo, #50)
- Added support to read 0D and 1D data from the
Carpetgrid, generated during multipatch simulations (i.e. usingLlama)
WARNING: For now, only patch 0 files are detected. For patch systems 'Thornburg04' and 'Thornburg13', it corresponds to the central cartesian patch, giving the expected behavior. This may not apply to other patch systems. (@Jordan-Nicoules, #48).
(Version 1.5.2 does not really exist. Version 1.5.1 was not correctly published due to a workflow error.)
- Python 3.13 is now supported.
- 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 Previously the mass was assumed proportional to the area (and not its squared root) (@xuyumeng) - Fixed outdated call to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
- Python 3.12 is now supported, Python 3.8.1 is required for development.
total_filesizenow errors out when directories are passed.
- Added experimental support for reading OpenPMD files (with most of the heavy-lifting done by @krishivbhatia). Please, report any issue you might find.
- 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)
- 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
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.
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.
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.
kuibit.tree is a new module that can represent tree structures. At the moment,
it is main use is to work with timer trees.
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
- 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)
- Add more updated sensitivity curve for Einstein Telescope (ET-D) (thanks, @bgiacoma, #33).
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
- Fix time incorrectly read in ASCII data (thanks @AuroraDysis, #30)
- Fix str representation of multipoles
- Fix implicit plotting of
Seriesformatplotlib >= 3.5.2 - Fix
test_initintest_cactus_grid_function
- Improvements to documentation and docstrings
- 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.
- The
merge_refinement_levelsfunction inHierarchicalGridDatahas been renamed torefinement_levels_mergedfor consistency. (Imperative methods edit the object in-place)
Scripts:
plot_ah_trajectories.py
- Fixed
tikzplotlibdependency forPython 3.6
- 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
h5py >= 3is now supported
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.
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).
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
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, toargparse_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.
- The
ignoreparameter inSimDirhas been renamed toignored_dirs. - The
trim_endsparameter incactus_wavesis now set toFalseby default.
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.
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
The visualize_matplotlib module aims to simplify common visualization tasks
with matplotlib. At the moment, it mainly supports visualizing grid data and
apparent horizons outlines. The public functions in visualize_matplotlib try
to be as general as possible: if you pass some grid objects, they will try to
figure out how to plot it. Nonetheless, you should read the documentation and
the docstrings of the various functions.
Making movies is a critical step in analyzing a simulation. Now, kuibit comes
with motionpicture, a Python tool
to assist you animate your data. motionpicture provides all the infrastructure
needed to render multiple frames and glue them together, so, all you need to
worry is how to render one single frame. Importantly, motionpicture supports
parallel rendering, which can dramatically speed up the time needed to produce a
video. Check out the
grid_var
example to see how easy it is to make a movie.
GridSeries is a new class to describe 1D grid data. This class utilizes the
same infrastructure used by TimeSeries and FrequencySeries to represent a
single-valued function. UniformGridData can be transformed into GridSeries
with the method to_GridSeries. The main reason you would want to do this is
because GridSeries are leaner and more direct to use.
- Improvements to documentation, docstrings, and tutorials
- Examples are now automatically packaged and uploaded upon release
- New YouTube series,
Using kuibit
Scripts:
plot_1d_vars.pyplot_ah_coordinate_velocity.pyplot_ah_found.pyplot_ah_radius.pyplot_ah_separation.pyplot_constraints.pyplot_em_energy.pyplot_grid_var.pyplot_gw_energy.pyplot_gw_linear_momentum.pyplot_physical_time_per_hour.pyplot_phi_lm.pyplot_psi4_lm.pyplot_strain_lm.pyplot_timeseries.pyplot_total_luminosity.pyprint_qlm_properties_at_time.py
Movies:
grid_var
- Fixed header recognition for
carpet-grid.asc(#22)
- New methods
get_apparent_horizonandget_qlm_horizoninHorizonsDir.
- Fixed corner in
__str__inUniformGrid - Fixed
_finest_component_at_point_mappingfor some points for which floor and rounding lead to different results.
The argparse_helper module collects functions to set up arguments for
command-line scripts. It comes with options for working with figure, grid data,
and horizons. Options can be stored in text files and read passing the path to
the -c flag.
The function that finds the component corresponding to a given point in
HierarchicalGridData was significantly sped up by adopting the algorithm used
in PostCactus (developed by Wolfgang Kastaun). This new algorithm is
significantly faster, but it will not work in case the refinement factors across
different levels are not constant integers. In that case (e.g., the refinement
boundaries are at 1, 2, and 6), the older algorithm will be used. For large
towers of refinement levels and hundreds of MPI processes, the new algorithm is
orders of magnitude faster.
Now kuibit comes with runnable examples. These are production-grade codes that
you can immediately use for your simulations. They are a great way to learn about
how to use kuibit. The examples included are:
print_ah_formation_time.pyprint_available_iterations.pyprint_available_timeseries.pysave_resampled_grid_data.py
- Releases are now automatically pushed to PyPI.
- Added method to compute the linear momentum lost by gravitational waves
- Now the method
saveinUniformGridDatasupports.npzfiles. This is the recommend and fastest way to save aUniformGridDatato disk. - The function
load_UniformGridDatacan now read.npzfiles.
- Fixed bug that, under certain circumstances, resulted in
cactus_grid_functionnot correctly indexing all the 3D data files - Fixed a test that was triggering the wrong error.
- Fixed a bug that made
ra_dec_to_theta_phidepend on the local time
finest_level_component_at_pointis nowfinest_component_at_pointand returns directly the component asUniformGridDataas opposed to the refinement level and component number.
- Improvements to documentation and docstrings
- Added
nanmax,nanmix,abs_nanmax,abs_nanmintoBaseNumerical - Added support for HDF5 grid arrays
- Added slicing
HierarchicalGridData - Added
shape_time_at_iterationincactus_horizon - Added
shape_at_timeincactus_horizon - Added
shape_outline_at_timeincactus_horizon - Added
compute_horizons_separationincactus_horizon - Added
ignore_symlinkstoSimDir
cactus_horizonsandcactus_multiploesnow remove duplicate iterations
remove_duplicate_iterswas renamed toremove_duplicated_iters_derivemethods are renamed to_differentiate
Initial release