if (!(-dim_bound <= vec.s${i} && vec.s${i} <= dim_bound))
{
return -1;
}
%endfor
int result = 0;
int base = 4 * well_sep_is_n_away + 3;
int mult = 1;
%for i in range(dimensions):
result += (2 * well_sep_is_n_away + 1 + vec.s${i}) * mult;
mult *= base;
%endfor
return result;
}
""" + str(InlineBinarySearch("box_id_t")),
strict_undefined=True)
TRANSLATION_CLASS_FINDER_TEMPLATE = ElementwiseTemplate(
arguments=r"""//CL:mako//
/* input: */
box_id_t *from_sep_siblings_lists,
box_id_t *from_sep_siblings_starts,
box_id_t *target_or_target_parent_boxes,
int ntarget_or_target_parent_boxes,
coord_t *box_centers,
int aligned_nboxes,
coord_t root_extent,
box_level_t *box_levels,
int well_sep_is_n_away,
bool is_close = (
distance(${ball_center}, source_coords)
<= (1-expansion_disturbance_tolerance)
* center_danger_zone_radii[icenter]);
if (is_close)
{
atomic_or(&panel_refine_flags[center_panel], 1);
atomic_or(found_panel_to_refine, 1);
break;
}
}
""",
name="check_center_closest_to_orig_panel",
preamble=str(InlineBinarySearch("particle_id_t")))
# Refinement checker for Condition 2.
SUFFICIENT_SOURCE_QUADRATURE_RESOLUTION_CHECKER = AreaQueryElementwiseTemplate(
extra_args=r"""
/* input */
particle_id_t *box_to_center_starts,
particle_id_t *box_to_center_lists,
particle_id_t *panel_to_source_starts,
particle_id_t source_offset,
particle_id_t center_offset,
particle_id_t *sorted_target_ids,
coord_t *source_danger_zone_radii_by_panel,
int npanels,
/* output */
from pyopencl.elementwise import ElementwiseTemplate
from boxtree.tools import InlineBinarySearch
STARTS_EXPANDER_TEMPLATE = ElementwiseTemplate(
arguments=r"""
idx_t *dst,
idx_t *starts,
idx_t starts_len
""",
operation=r"""//CL//
/* Find my index in starts, place the index in dst. */
dst[i] = bsearch(starts, starts_len, i);
""",
name="starts_expander",
preamble=str(InlineBinarySearch("idx_t")))
# }}}
# {{{ area query elementwise template
class AreaQueryElementwiseTemplate(object):
"""
Experimental: Intended as a way to perform operations in the body of an area
query.
"""
@staticmethod
def unwrap_args(tree, peer_lists, *args):
return (tree.box_centers, tree.root_extent, tree.box_levels,
tree.aligned_nboxes, tree.box_child_ids, tree.box_flags,
bool is_close =
distance(target_coords, source_coords)
<= tunnel_radius_by_source[source];
if (is_close && target_status[i] == MARKED_QBX_CENTER_PENDING)
{
particle_id_t panel = bsearch(
panel_to_source_starts, npanels + 1, source);
atomic_or(&refine_flags[panel], 1);
atomic_or(found_panel_to_refine, 1);
}
}
""",
name="refine_panels",
preamble=TARGET_ASSOC_DEFINES + str(InlineBinarySearch("particle_id_t")))
# }}}
# {{{ target associator
class QBXTargetAssociationFailedException(Exception):
"""
.. attribute:: refine_flags
.. attribute:: failed_target_flags
"""
def __init__(self, refine_flags, failed_target_flags, message):
self.refine_flags = refine_flags
self.failed_target_flags = failed_target_flags
self.message = message
