Motivation: I hate all available methods of reading in VLSV files. FsGrid is dumped on disk unordered. SpatialGrid is hard to read because it has AMR. VDFs are hard to read because they are sparse. No more! So vlsvrs is a set of tools written mainly for fun but also for some projects in Vlasiator (Asterix, Faiser...). A very very nice thing here is that we can actually read in a VDF into a dense mesh (we can also remap the VDF to a target mesh) which is handy for training neural nets. And it can just read all you need with a simple call. And it is not python!
This package is written in rust, so you will need cargo.
Toinstall the C bindings system-wide (headers and vlsvrs
library):
./install.sh
And now you can use:
/*
WARNING
The ownership of the pointers returned is passed to the c callsite
So it is the user's responsibillity to free the pointers!!!
*/
Grid32 read_var_32(const char *filename, const char *varname, int op);
Grid64 read_var_64(const char *filename, const char *varname, int op);
Grid32 read_vdf_32(const char *filename, const char *population, size_t cid);
Grid64 read_vdf_64(const char *filename, const char *population, size_t cid);
Example usage in C:
// gcc main.c -Wall -Wextra -O3 -lvlsvrs -o bin && ./bin
#include "stdlib.h"
#include "vlsvrs.h"
#include <stdio.h>
int main() {
Grid32 vdf1 =
read_vdf_32("tsi.vlsv", "proton", 256);
Grid64 vdf2 =
read_vdf_64("tsi.vlsv", "proton", 256);
printf("VDF1 with shape [%zu,%zu,%zu] extents[%f,%f,%f,%f,%f,%f] @%p\n",
vdf1.nx, vdf1.ny, vdf1.nz, vdf1.xmin, vdf1.ymin, vdf1.zmin, vdf1.xmax,
vdf1.ymax, vdf1.zmax, vdf1.data);
printf("VDF2 with shape [%zu,%zu,%zu] extents[%f,%f,%f,%f,%f,%f] @%p\n",
vdf2.nx, vdf2.ny, vdf2.nz, vdf2.xmin, vdf2.ymin, vdf2.zmin, vdf2.xmax,
vdf2.ymax, vdf2.zmax, vdf2.data);
printf("Hello World!\n");
free(vdf1.data);
free(vdf2.data);
}
To install:
./install.sh
gfortran vlsvrs.f90 -c -O3
PROGRAM main
USE vlsvrs
use iso_c_binding, only : c_null_char
IMPLICIT NONE
type(Grid32) :: data
integer(8) :: i
data = read_var_32(TRIM("tsi.vlsv")//c_null_char, TRIM("vg_b_vol")//c_null_char, 0)
WRITE (*, *) data%nx, data%ny, data%nz
i = 256
data = read_vdf_32(TRIM("tsi.vlsv")//c_null_char, TRIM("proton")//c_null_char, i)
WRITE (*, *) data%nx, data%ny, data%nz
END PROGRAM
Which can be compiled via:
gfortran vlsvrs.mod main.f90 -Wall -Wextra -Wno-conversion -Wno-c-binding-type -lvlsvrs -o bin
The module is built into the ./fortran_bindings
folder. Note the signatures: integer kind is 8 for cell id, and strings in fortran vs c are a bit of black magic, requiring null chars and trim.
Install maturin:
pip install maturin
maturin develop -F with_bindings --release
Now you can do:
import vlsvrs
f=vlsvrs.VlsvFile("bulk.vlsv")
let f = VlsvFile::new("bulk.vlsv").unwrap();
//OP: vec->scalar reduction into first component with 0|1->x(noop) 2->y 3->z 4->magnitude
let OP = 0;
let data:Array4<_> = f.read_variable::<f32>(&varname, Some(OP)).unwrap()
let data:Array4<_> = f.read_vg_variable_as_fg::<f32>(&varname, Some(OP)).unwrap()
let data:Array4<_> = f.read_fsgrid_variable::<f32>(&varname, Some(OP)).unwrap()
let data:Array4<_> = f.read_vdf::<f32>(256, "proton")).unwrap();
Reads VLSV files and metadata.
Can read ordered fsgrid variables.
Can read vg variables as fg.
Can read dense vdfs and up/down scale them.
Has much smaller memory footprint than analysator.
Keywords:
read_scalar_parameter, read_config, read_version, read_variable_into, get_wid, get_vspace_mesh_bbox, get_spatial_mesh_extents, get_vspace_mesh_extents, get_domain_decomposition, get_max_amr_refinement, get_writting_tasks, get_spatial_mesh_bbox, get_dataset, read_vg_variable_as_fg, read_fsgrid_variable, read_vdf, read_vdf_into, read_variable, read_tag, vg_variable_to_fg
Particle tracing routines using fields from Vlasiator. Keywords: get_fields_at, new_with_energy_at_Lshell, boris, larmor_radius, borris_adaptive
Creates C and Python interfaces for VLSV_READER. Keywords: read_variable_f64, read_variable_f32, read_vdf_f32, read_vdf_f64