#
# Clean up
#
grid = numpy.array(grid)
bounds_mask = amrlib.check_grid(grid, intr_prms, opts.distance_coordinates)
grid = grid[bounds_mask]
print "%d cells after bounds checking" % len(grid)
if len(grid) == 0:
exit("All cells would be removed by physical boundaries.")
# Convert back to physical mass
grid = amrlib.apply_inv_transform(grid, intr_prms, opts.distance_coordinates)
cells = amrlib.grid_to_cells(grid, spacing)
if opts.setup:
grid_group = amrlib.init_grid_hdf(init_region, opts.setup + ".hdf", opts.overlap_threshold, opts.distance_coordinates, intr_prms=intr_prms)
level = amrlib.save_grid_cells_hdf(grid_group, cells, "mass1_mass2", intr_prms=intr_prms)
else:
grp = amrlib.load_grid_level(opts.refine, None)
level = amrlib.save_grid_cells_hdf(grp, cells, "mass1_mass2", intr_prms)
print "Selected %d cells for further analysis." % len(cells)
if opts.setup:
fname = "HL-MASS_POINTS_LEVEL_0-0-1.xml.gz"
write_to_xml(cells, intr_prms, pin_prms, None, fname, verbose=opts.verbose)
else:
#m = re.search("LEVEL_(\d+)", opts.result_file)
#if m is not None:
#level = int(m.group(1)) + 1
#
# Clean up
#
grid = numpy.array(grid)
bounds_mask = amrlib.check_grid(grid, intr_prms, opts.distance_coordinates)
grid = grid[bounds_mask]
print "%d cells after bounds checking" % len(grid)
if len(grid) == 0:
exit("All cells would be removed by physical boundaries.")
# Convert back to physical mass
grid = amrlib.apply_inv_transform(grid, intr_prms, opts.distance_coordinates)
cells = amrlib.grid_to_cells(grid, spacing)
if opts.setup:
grid_group = amrlib.init_grid_hdf(init_region,
opts.setup + ".hdf",
opts.overlap_threshold,
opts.distance_coordinates,
intr_prms=intr_prms)
level = amrlib.save_grid_cells_hdf(grid_group,
cells,
"mass1_mass2",
intr_prms=intr_prms)
else:
grp = amrlib.load_grid_level(opts.refine, None)
level = amrlib.save_grid_cells_hdf(grp, cells, "mass1_mass2", intr_prms)
print "Selected %d cells for further analysis." % len(cells)