Igor Elovikov
71 lines
2.7 KiB
Plaintext
71 lines
2.7 KiB
Plaintext
:: macro init_pcloud(cloud_name)
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{{ cloud_name }}_meta = get_float3("#{{ cloud_name }}_meta")
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{{ cloud_name }}_frag_size = float2(1.0, 1.0) / {{ cloud_name }}_meta.yz
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{{ cloud_name }}_size_half = {{ cloud_name }}_frag_size / float2(2.0, 2.0)
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:: endmacro
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:: macro get_pcloud_point(cloud_name, sample_idx, sample_name, cloud_input = 0)
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row = ({{ sample_idx }} * 2) / toint({{ cloud_name }}_meta.y)
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column = ({{ sample_idx }} * 2) % toint({{ cloud_name }}_meta.y)
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rc = vector2(tofloat(column), tofloat(row))
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sample_uv = {{ cloud_name }}_size_half + rc * {{ cloud_name }}_frag_size
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{{ sample_name }} = samplecol(sample_uv, {{ cloud_input }}, 0)
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{{ sample_name }}_attrib = samplecol(sample_uv + vector2({{ cloud_name }}_frag_size.x, 0.0), {{ cloud_input }}, 0)
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:: endmacro
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:: macro get_pcloud_point_noattr(cloud_name, sample_idx, sample_name, cloud_input = 0)
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row = ({{ sample_idx }} * 2) / toint({{ cloud_name }}_meta.y)
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column = ({{ sample_idx }} * 2) % toint({{ cloud_name }}_meta.y)
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rc = vector2(tofloat(column), tofloat(row))
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sample_uv = {{ cloud_name }}_size_half + rc * {{ cloud_name }}_frag_size
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{{ sample_name }} = samplecol(sample_uv, {{ cloud_input }}, 0)
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:: endmacro
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:: macro pcloud_index_uv(uv_name, cloud_name, index)
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pc_row = ({{ index }} * 2) / toint({{ cloud_name }}_meta.y)
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pc_column = ({{ index }} * 2) % toint({{ cloud_name }}_meta.y)
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pc_rc = vector2(tofloat(pc_column), tofloat(pc_row))
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f2_one = float2(1.0, 1.0)
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{{ uv_name }} = {{ cloud_name }}_size_half + pc_rc / ( {{ cloud_name }}_meta.yz - f2_one ) * (f2_one - {{ cloud_name }}_frag_size )
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:: endmacro
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:: macro pp_init()
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size = get_float2("$size")
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pos = get_float2("$pos")
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frag_size = float2(1.0, 1.0) / size
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frag_size_half = frag_size / float2(2.0, 2.0)
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pixel_coord = size * (pos - frag_size_half)
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pixel_index = pixel_coord.y * size.x + pixel_coord.x
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pixel_index = toint(pixel_index)
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is_attrib = pixel_index % 2 > 0
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sample = samplecol(pos, 0, 0)
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attr_offset = vector2(-frag_size.x, 0.0) if is_attrib else vector2(frag_size.x, 0.0)
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neigh_sample = samplecol(pos + attr_offset, 0, 0)
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point = neigh_sample if is_attrib else sample
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point_attrib = sample if is_attrib else neigh_sample
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:: endmacro
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:: macro sample_curve(factor, npoints, is_closed, alpha, tension, point_prefix, start_index = 0):
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catmull_rom_16({{ factor }},
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{{ npoints }},
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{{ is_closed }},
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{{ alpha }},
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{{ tension }},
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:: for p_i in range(start_index, start_index + 16):
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{{ point_prefix }}{{ p_i }},
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:: endfor
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)
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:: endmacro
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:: set attrib_map = {1:"point.z", 2:"point_attrib.x", 3:"point_attrib.y", 4:"point_attrib.z"}
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:: set tile_offset = ["0.0, 0.0", "0.0, -1.0", "0.0, 1.0", "-1.0, 0.0", "1.0, 0.0", "1.0, -1.0", "1.0, 1.0", "-1.0, -1.0", "-1.0, 1.0"] |