:: import "point_cloud.sex" as pc

pc_index = get_int("pc_index")
min_distance = get_float("min_distance")

n = toint(get_float("$number"))

{{ pc.init_pcloud("pcloud") }}

last_iteration = (n == toint(pcloud_meta.x))
self_check = (n == pc_index)

sample_idx = n

{{ pc.get_pcloud_point_noattr("pcloud", "sample_idx", "sample_cloud") }}
{{ pc.get_pcloud_point_noattr("pcloud", "pc_index", "sample_origin") }}

pos_origin = sample_origin.xy

:: if tiled
pos_origin = pos_origin % float2(1.0, 1.0)
:: endif

skip_iteration = self_check or last_iteration

:: set checks = 9 if tiled else 1

:: for i in range(checks)

pos_comp = sample_cloud.xy + vector2({{ pc.tile_offset[i] }})

dist_vec = pos_origin - pos_comp
dist = length_vec2(dist_vec)
mdist = dist if dist < min_distance and not skip_iteration else min_distance

min_distance = mdist 

:: endfor

color_out = merge_float4(pos_origin.x, pos_origin.y, min_distance , 1.0)
pos_out = sample_uv
size_out = pcloud_frag_size

_OUT_ = last_iteration

export(color_out)
export(pos_out)
export(size_out)
export(min_distance)