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\"REQUIRED\": false\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"inst_matrix1\",\n \"REQUIRED\": false\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"inst_matrix2\",\n \"REQUIRED\": false\n },\n {\n \"TYPE\": \"uint\",\n \"NAME\": \"draw_id\",\n \"SEMANTIC\": \"instance_draw_id\"\n }\n ],\n \"VERTEX_OUTPUTS\": [\n {\n \"TYPE\": \"vec3\",\n \"NAME\": \"v_worldPos\"\n },\n {\n \"TYPE\": \"vec3\",\n \"NAME\": \"v_normal\"\n },\n {\n \"TYPE\": \"vec2\",\n \"NAME\": \"v_uv\"\n },\n {\n \"TYPE\": \"uint\",\n \"NAME\": \"v_drawID\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_tangent\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_color\"\n },\n {\n \"TYPE\": \"vec2\",\n \"NAME\": \"v_uv1\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_inst_color\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_inst_emissive\"\n }\n ],\n \"FRAGMENT_INPUTS\": [\n {\n \"TYPE\": \"vec3\",\n \"NAME\": \"v_worldPos\"\n },\n {\n \"TYPE\": \"vec3\",\n \"NAME\": \"v_normal\"\n },\n {\n \"TYPE\": \"vec2\",\n \"NAME\": \"v_uv\"\n },\n {\n \"TYPE\": \"uint\",\n \"NAME\": \"v_drawID\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_tangent\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_color\"\n },\n {\n \"TYPE\": \"vec2\",\n \"NAME\": \"v_uv1\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_inst_color\"\n },\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"v_inst_emissive\"\n }\n ],\n \"FRAGMENT_OUTPUTS\": [\n {\n \"TYPE\": \"vec4\",\n \"NAME\": \"isf_FragColor\"\n }\n ],\n \"INPUTS\": [\n {\n \"NAME\": \"camera\",\n \"TYPE\": \"uniform\",\n \"VISIBILITY\": \"vertex+fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"view\",\n \"TYPE\": \"mat4\"\n },\n {\n \"NAME\": \"projection\",\n \"TYPE\": \"mat4\"\n },\n {\n \"NAME\": \"viewProjection\",\n \"TYPE\": \"mat4\"\n },\n {\n \"NAME\": \"cameraPosition\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"renderSize\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"params\",\n \"TYPE\": \"vec4\"\n }\n ]\n },\n {\n \"NAME\": \"scene_lights\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"entries\",\n \"TYPE\": \"Light[]\"\n }\n ]\n },\n {\n \"NAME\": \"scene_light_indices\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"data\",\n \"TYPE\": \"uint[]\"\n }\n ]\n },\n {\n \"NAME\": \"world_transforms\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"vertex+fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"data\",\n \"TYPE\": \"mat4[]\"\n }\n ]\n },\n {\n \"NAME\": \"scene_materials\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"entries\",\n \"TYPE\": \"Material[]\"\n }\n ]\n },\n {\n \"NAME\": \"scene_material_uv_xforms\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"entries\",\n \"TYPE\": \"MatUVXform[]\"\n }\n ]\n },\n {\n \"NAME\": \"per_draws\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"vertex+fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"data\",\n \"TYPE\": \"PerDraw[]\"\n }\n ]\n },\n {\n \"NAME\": \"indirect_draw_cmds\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"none\",\n \"BUFFER_USAGE\": \"indirect_draw_indexed\",\n \"LAYOUT\": [\n {\n \"NAME\": \"cmds\",\n \"TYPE\": \"DrawIndexedCmd[]\"\n }\n ]\n },\n {\n \"NAME\": \"scene_counts\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"light_count\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"material_count\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"draw_count\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"_pad0\",\n \"TYPE\": \"uint\"\n }\n ]\n },\n {\n \"NAME\": \"env\",\n \"TYPE\": \"uniform\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"ambient\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"fog_color_density\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"fog_range\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"exposure_gamma\",\n \"TYPE\": \"vec4\"\n }\n ]\n },\n {\n \"NAME\": \"alpha_a2c_enabled\",\n \"TYPE\": \"long\",\n \"DEFAULT\": 0,\n \"MIN\": 0,\n \"MAX\": 1,\n \"LABEL\": \"Alpha-to-coverage (writes gl_SampleMask under MSAA). Best for foliage edges when MSAA is enabled. Adapts to the framebuffer sample count (1/2/4/8/16); degrades to a 0.5 binary cutoff when MSAA is off.\"\n },\n {\n \"NAME\": \"volumetric_enabled\",\n \"TYPE\": \"long\",\n \"DEFAULT\": 0,\n \"MIN\": 0,\n \"MAX\": 1,\n \"LABEL\": \"Volumetric fog composite (1=on)\",\n \"DESCRIPTION\": \"Sample the upstream vol_integrated SSBO (built by the volumetric_inject / scatter / integrate chain) and apply finalColor = finalColor * transmittance + accum * intensity per fragment. Default off so rasterizers without the volumetric chain wired don't multiply by an unbound (zero-init) transmittance and go pure black.\"\n },\n {\n \"NAME\": \"volumetric_intensity\",\n \"TYPE\": \"float\",\n \"DEFAULT\": 1.0,\n \"MIN\": 0.0,\n \"MAX\": 4.0,\n \"LABEL\": \"Volumetric intensity\",\n \"DESCRIPTION\": \"Scalar on the in-scattered radiance contribution. 1.0 = physical; <1 dampens the fog look; >1 over-blooms the air for stylized output. Has no effect when volumetric_enabled=0.\"\n }\n ],\n \"AUXILIARY\": [\n {\n \"NAME\": \"scene_material_wrap\",\n \"TYPE\": \"storage\",\n \"ACCESS\": \"read_only\",\n \"VISIBILITY\": \"fragment\",\n \"LAYOUT\": [\n {\n \"NAME\": \"entries\",\n \"TYPE\": \"uvec4[]\"\n }\n ]\n },\n {\n \"NAME\": \"cluster_config\",\n \"ACCESS\": \"read_only\",\n \"LAYOUT\": [\n {\n \"NAME\": \"cluster_x\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"cluster_y\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"cluster_z\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"max_lights_per_cluster\",\n \"TYPE\": \"uint\"\n }\n ]\n },\n {\n \"NAME\": \"vol_integrated\",\n \"ACCESS\": \"read_only\",\n \"LAYOUT\": [\n {\n \"NAME\": \"data\",\n \"TYPE\": \"FroxelIntegrated[]\"\n }\n ]\n },\n {\n \"NAME\": \"materialArray0\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray1\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray2\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray3\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray4\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray5\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray6\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialArray7\",\n \"TYPE\": \"image\",\n \"IS_ARRAY\": true,\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn0\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn1\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn2\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn3\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn4\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn5\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn6\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n },\n {\n \"NAME\": \"materialDyn7\",\n \"TYPE\": \"image\",\n \"WRAP\": \"repeat\"\n }\n ],\n \"TYPES\": [\n {\n \"NAME\": \"Light\",\n \"LAYOUT\": [\n {\n \"NAME\": \"color\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"local_direction\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"range_cone\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"shadow_enabled\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"decay_mode\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"transform_slot\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"normal_bias\",\n \"TYPE\": \"float\"\n }\n ]\n },\n {\n \"NAME\": \"Material\",\n \"LAYOUT\": [\n {\n \"NAME\": \"baseColor\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"metallicRoughnessOcclusionUnlit\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"emissive_strength\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"textureRefs\",\n \"TYPE\": \"uvec4\"\n },\n {\n \"NAME\": \"feature_mask\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"hit_group_id\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"occlusion_textureRef\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"alpha_cutoff\",\n \"TYPE\": \"float\"\n }\n ]\n },\n {\n \"NAME\": \"PerDraw\",\n \"LAYOUT\": [\n {\n \"NAME\": \"model\",\n \"TYPE\": \"mat4\"\n },\n {\n \"NAME\": \"normal\",\n \"TYPE\": \"mat4\"\n },\n {\n \"NAME\": \"material_index\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"tag_hash\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"_pad0\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"_pad1\",\n \"TYPE\": \"uint\"\n }\n ]\n },\n {\n \"NAME\": \"DrawIndexedCmd\",\n \"LAYOUT\": [\n {\n \"NAME\": \"indexCount\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"instanceCount\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"firstIndex\",\n \"TYPE\": \"uint\"\n },\n {\n \"NAME\": \"baseVertex\",\n \"TYPE\": \"int\"\n },\n {\n \"NAME\": \"baseInstance\",\n \"TYPE\": \"uint\"\n }\n ]\n },\n {\n \"NAME\": \"MatUVXform\",\n \"LAYOUT\": [\n {\n \"NAME\": \"bc_offset_scale\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"mr_offset_scale\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"normal_offset_scale\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"em_offset_scale\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"occ_offset_scale\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"rotations0\",\n \"TYPE\": \"vec4\"\n },\n {\n \"NAME\": \"rotations1\",\n \"TYPE\": \"vec4\"\n }\n ]\n },\n {\n \"NAME\": \"FroxelIntegrated\",\n \"LAYOUT\": [\n {\n \"NAME\": \"accum_transmittance\",\n \"TYPE\": \"vec4\"\n }\n ]\n }\n ],\n \"PIPELINE_STATE\": {\n \"DEPTH_TEST\": true,\n \"DEPTH_WRITE\": true,\n \"CULL_MODE\": \"back\"\n }\n}*/\n\n// Sample a material texture channel given its packed textureRef. Matches\n// the SceneFlattener encoding:\n// bits 31..30 : source (0=NONE/sentinel, 1=STATIC bucket, 2=DYNAMIC slot)\n// bits 29..23 : bucket index (0..127); the ladder below covers the\n// first 16 — higher bucket ids fall back.\n// bits 23..0 : layer index within the bucket's texture array (static)\n// OR slot index in the channel's dynamic sampler set.\n//\n// Each channel declares `kShaderBuckets` sampler2DArrays,\n// one per bucket. Materials with textures of different (format, pixelSize)\n// tuples land in different buckets; the switch ladder below dispatches\n// to the right sampler. Scenes with a single bucket hit case 0 only —\n// all other cases compile in but never execute.\n//\n// Dynamic slots resolve to per-channel sampler2D uniforms `*Dyn0` /\n// `*Dyn1` populated by ScenePreprocessor's aux-texture path — used for\n// large runtime textures (8K video, HDR shader outputs) that can't\n// round-trip through the bucket pool.\nconst uint kShaderBuckets = 16u;\n\n// ─── Manual N-tap anisotropic sampling ──────────────────────────────\n// Qt RHI hard-codes maxAnisotropy=1.0 in every backend; there is no\n// public API to enable hardware anisotropic filtering. Workaround: do\n// it in the shader. Standard \"sum of cones\" formulation:\n//\n// 1. Compute UV gradients dx/dy. Pick the longer one as the major\n// axis, the shorter as minor.\n// 2. The footprint is an ellipse on the texture; ratio = |major|/|minor|\n// gives the anisotropy needed (typical value at grazing angles is\n// 4-16).\n// 3. Take 4 hardware-filtered samples spaced along the major axis,\n// each forced to the minor-axis LOD via textureGrad(minor, minor).\n// Average them. The minor-axis grad keeps each sample sharp; the\n// 4 spaced taps integrate over the elongated footprint.\n//\n// Shortcut: when the footprint is roughly isotropic (ratio² < 4) we\n// drop to a plain hardware texture() — the 4-tap path is wasted cost.\n//\n// Cost: ~4× texture lookups when the path triggers (only at grazing\n// angles), 1× otherwise. We apply this only to base_color and normal\n// — the channels where the user can see the difference. metallic /\n// roughness / occlusion / emissive stay on plain texture().\nvec4 anisoSample2DArray(sampler2DArray tex, vec3 uv)\n{\n vec2 dx = dFdx(uv.xy);\n vec2 dy = dFdy(uv.xy);\n float lx2 = dot(dx, dx);\n float ly2 = dot(dy, dy);\n vec2 major, minor;\n float ratio2;\n if(lx2 > ly2)\n {\n major = dx; minor = dy;\n ratio2 = lx2 / max(ly2, 1e-12);\n }\n else\n {\n major = dy; minor = dx;\n ratio2 = ly2 / max(lx2, 1e-12);\n }\n if(ratio2 < 4.0) return texture(tex, uv);\n\n // 4 taps at -3/8, -1/8, 1/8, 3/8 of the major axis (uniform spacing,\n // mean-zero, covers the elongated footprint without touching the\n // tile borders that a -1/2..1/2 spacing would).\n float layer = uv.z;\n vec4 s0 = textureGrad(tex, vec3(uv.xy + major * -0.375, layer), minor, minor);\n vec4 s1 = textureGrad(tex, vec3(uv.xy + major * -0.125, layer), minor, minor);\n vec4 s2 = textureGrad(tex, vec3(uv.xy + major * 0.125, layer), minor, minor);\n vec4 s3 = textureGrad(tex, vec3(uv.xy + major * 0.375, layer), minor, minor);\n return (s0 + s1 + s2 + s3) * 0.25;\n}\nvec4 anisoSample2DArraySep(texture2DArray tex, sampler smp, vec3 uv)\n{\n vec2 dx = dFdx(uv.xy);\n vec2 dy = dFdy(uv.xy);\n float lx2 = dot(dx, dx);\n float ly2 = dot(dy, dy);\n vec2 major, minor;\n float ratio2;\n if(lx2 > ly2)\n {\n major = dx; minor = dy;\n ratio2 = lx2 / max(ly2, 1e-12);\n }\n else\n {\n major = dy; minor = dx;\n ratio2 = ly2 / max(lx2, 1e-12);\n }\n if(ratio2 < 4.0) return texture(sampler2DArray(tex, smp), uv);\n\n // 4 taps at -3/8, -1/8, 1/8, 3/8 of the major axis (uniform spacing,\n // mean-zero, covers the elongated footprint without touching the\n // tile borders that a -1/2..1/2 spacing would).\n float layer = uv.z;\n vec4 s0 = textureGrad(sampler2DArray(tex, smp), vec3(uv.xy + major * -0.375, layer), minor, minor);\n vec4 s1 = textureGrad(sampler2DArray(tex, smp), vec3(uv.xy + major * -0.125, layer), minor, minor);\n vec4 s2 = textureGrad(sampler2DArray(tex, smp), vec3(uv.xy + major * 0.125, layer), minor, minor);\n vec4 s3 = textureGrad(sampler2DArray(tex, smp), vec3(uv.xy + major * 0.375, layer), minor, minor);\n return (s0 + s1 + s2 + s3) * 0.25;\n}\n\nvec4 anisoSample2D(sampler2D tex, vec2 uv)\n{\n vec2 dx = dFdx(uv);\n vec2 dy = dFdy(uv);\n float lx2 = dot(dx, dx);\n float ly2 = dot(dy, dy);\n vec2 major, minor;\n float ratio2;\n if(lx2 > ly2)\n {\n major = dx; minor = dy;\n ratio2 = lx2 / max(ly2, 1e-12);\n }\n else\n {\n major = dy; minor = dx;\n ratio2 = ly2 / max(lx2, 1e-12);\n }\n if(ratio2 < 4.0) return texture(tex, uv);\n\n vec4 s0 = textureGrad(tex, uv + major * -0.375, minor, minor);\n vec4 s1 = textureGrad(tex, uv + major * -0.125, minor, minor);\n vec4 s2 = textureGrad(tex, uv + major * 0.125, minor, minor);\n vec4 s3 = textureGrad(tex, uv + major * 0.375, minor, minor);\n return (s0 + s1 + s2 + s3) * 0.25;\n}\nvec4 anisoSample2DSep(texture2D tex, sampler smp, vec2 uv)\n{\n vec2 dx = dFdx(uv);\n vec2 dy = dFdy(uv);\n float lx2 = dot(dx, dx);\n float ly2 = dot(dy, dy);\n vec2 major, minor;\n float ratio2;\n if(lx2 > ly2)\n {\n major = dx; minor = dy;\n ratio2 = lx2 / max(ly2, 1e-12);\n }\n else\n {\n major = dy; minor = dx;\n ratio2 = ly2 / max(lx2, 1e-12);\n }\n if(ratio2 < 4.0) return texture(sampler2D(tex, smp), uv);\n\n vec4 s0 = textureGrad(sampler2D(tex, smp), uv + major * -0.375, minor, minor);\n vec4 s1 = textureGrad(sampler2D(tex, smp), uv + major * -0.125, minor, minor);\n vec4 s2 = textureGrad(sampler2D(tex, smp), uv + major * 0.125, minor, minor);\n vec4 s3 = textureGrad(sampler2D(tex, smp), uv + major * 0.375, minor, minor);\n return (s0 + s1 + s2 + s3) * 0.25;\n}\n\n// One decoder for every material channel. The pool is shared, so the bucket\n// field of the ref is all that picks the array -- including its colourspace,\n// which is part of the bucket key rather than of the channel.\n// Per-texture wrap modes from scene_material_wrap, loaded once per fragment\n// from the material's entry. Four bits per texture ref: wrap_s in the low two,\n// wrap_t in the high two; 0 = repeat, 1 = clamp to edge, 2 = mirror. Slots\n// 0..4 are the main refs (base colour, metal-rough, normal, emissive,\n// occlusion), 5.. the extension refs in MaterialExt.textureRefs order. The\n// pool samples every array with one repeat sampler, so a non-repeat mode is\n// applied to the coordinate here.\nuvec3 g_matWrap = uvec3(0u);\nuint matWrap(uint slot)\n{\n if(slot < 5u) return (g_matWrap.x >> (4u * slot)) & 0xFu;\n uint e = slot - 5u;\n uint word = e < 8u ? g_matWrap.y : g_matWrap.z;\n return (word >> (4u * (e & 7u))) & 0xFu;\n}\nfloat wrapAxis(float x, uint mode, float halfTexel)\n{\n if(mode == 1u) return clamp(x, halfTexel, 1.0 - halfTexel);\n if(mode == 2u) { float t = mod(x, 2.0); return t > 1.0 ? 2.0 - t : t; }\n return x;\n}\nvec2 applyWrap(vec2 uv, uint wrap, vec2 halfTexel)\n{\n return vec2(wrapAxis(uv.x, wrap & 3u, halfTexel.x),\n wrapAxis(uv.y, (wrap >> 2u) & 3u, halfTexel.y));\n}\n// Clamping stays inside the edge texel of the coarsest mip level the\n// trilinear filter reads, so a minified clamped texture does not bleed across\n// the repeat sampler's seam.\nvec2 wrapInset(texture2DArray tex, sampler smp, vec2 dx, vec2 dy)\n{\n vec2 sz = vec2(textureSize(sampler2DArray(tex, smp), 0).xy);\n float lod = max(0.0, log2(max(length(dx * sz), length(dy * sz))));\n return min(vec2(0.5), 0.5 * exp2(ceil(lod)) / sz);\n}\n// anisoSample2DArray's wrapped counterpart. A single trilinear tap whose\n// gradients come from the unwrapped coordinate, so a mirror fold or a clamp\n// edge does not spike the mip selection; repeat, the common case, keeps the\n// anisotropic path untouched.\nvec4 anisoSample2DArrayWrapped(texture2DArray tex, sampler smp, vec3 uv, uint wrap)\n{\n if(wrap == 0u) return anisoSample2DArraySep(tex, smp, uv);\n vec2 dx = dFdx(uv.xy);\n vec2 dy = dFdy(uv.xy);\n return textureGrad(sampler2DArray(tex, smp),\n vec3(applyWrap(uv.xy, wrap, wrapInset(tex, smp, dx, dy)), uv.z),\n dx, dy);\n}\n\n\nvec4 sample_material_slot(uint ref, uint wrap, vec2 uv, vec4 fallback)\n{\n if(ref == 0xFFFFFFFFu) return fallback;\n uint source = (ref >> 30) & 3u;\n uint bucket = (ref >> 23) & 0x7Fu;\n uint idx = ref & 0x007FFFFFu;\n if(source == 2u)\n {\n switch(idx)\n {\n case 0u: return anisoSample2DSep(materialDyn_tex[0], materialDyn_smp, uv);\n case 1u: return anisoSample2DSep(materialDyn_tex[1], materialDyn_smp, uv);\n case 2u: return anisoSample2DSep(materialDyn_tex[2], materialDyn_smp, uv);\n case 3u: return anisoSample2DSep(materialDyn_tex[3], materialDyn_smp, uv);\n case 4u: return anisoSample2DSep(materialDyn_tex[4], materialDyn_smp, uv);\n case 5u: return anisoSample2DSep(materialDyn_tex[5], materialDyn_smp, uv);\n case 6u: return anisoSample2DSep(materialDyn_tex[6], materialDyn_smp, uv);\n case 7u: return anisoSample2DSep(materialDyn_tex[7], materialDyn_smp, uv);\n }\n return fallback;\n }\n switch(bucket)\n {\n case 0u: return anisoSample2DArrayWrapped(materialArray_tex[0], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 1u: return anisoSample2DArrayWrapped(materialArray_tex[1], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 2u: return anisoSample2DArrayWrapped(materialArray_tex[2], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 3u: return anisoSample2DArrayWrapped(materialArray_tex[3], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 4u: return anisoSample2DArrayWrapped(materialArray_tex[4], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 5u: return anisoSample2DArrayWrapped(materialArray_tex[5], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 6u: return anisoSample2DArrayWrapped(materialArray_tex[6], materialArray_smp, vec3(uv, float(idx)), wrap);\n case 7u: return anisoSample2DArrayWrapped(materialArray_tex[7], materialArray_smp, vec3(uv, float(idx)), wrap);\n }\n return fallback;\n}\n\nvec4 sample_slot_bc(uint ref, uint wrap, vec2 uv, vec4 fallback)\n{\n return sample_material_slot(ref, wrap, uv, fallback);\n}\n\n\nvec4 sample_slot_mr(uint ref, uint wrap, vec2 uv, vec4 fallback)\n{\n return sample_material_slot(ref, wrap, uv, fallback);\n}\n\n\nvec4 sample_slot_nrm(uint ref, uint wrap, vec2 uv, vec4 fallback)\n{\n return sample_material_slot(ref, wrap, uv, fallback);\n}\n\n\nvec4 sample_slot_em(uint ref, uint wrap, vec2 uv, vec4 fallback)\n{\n return sample_material_slot(ref, wrap, uv, fallback);\n}\n\n\n// Separate glTF occlusionTexture (single-channel data, R = occlusion).\n// Sampled only when feature_mask carries `has_separate_occlusion`;\n// otherwise the main path falls back to MR.r per the common packed-MR\n// convention. fallback = 1 → identity (no occlusion).\nvec4 sample_slot_occ(uint ref, uint wrap, vec2 uv, vec4 fallback)\n{\n return sample_material_slot(ref, wrap, uv, fallback);\n}\n\n\n// glTF feature_mask bits — must mirror SceneGPUState.hpp's\n// material_feature namespace.\nconst uint kFeat_alpha_mask = 1u << 16u;\nconst uint kFeat_alpha_blend = 1u << 17u;\nconst uint kFeat_double_sided = 1u << 18u;\nconst uint kFeat_has_separate_occ = 1u << 19u;\n// Per-channel texcoord_set bits (20-29). 2 bits per channel, value\n// 0 = TEXCOORD_0, value 1 = TEXCOORD_1. Out-of-range values collapse\n// to TEXCOORD_0 (the shift-mask in packMaterial clamps to 0/1).\nconst uint kFeat_tcset_bc_shift = 20u;\nconst uint kFeat_tcset_mr_shift = 22u;\nconst uint kFeat_tcset_nrm_shift = 24u;\nconst uint kFeat_tcset_em_shift = 26u;\nconst uint kFeat_tcset_occ_shift = 28u;\n\nvec2 pick_uv(uint feature_mask, uint shift, vec2 uv0, vec2 uv1)\n{\n return ((feature_mask >> shift) & 0x3u) == 1u ? uv1 : uv0;\n}\n\n// KHR_texture_transform helper: glTF defines the transform in UV space\n// as `uv' = R(rotation) * S(scale) * uv + offset`, with rotation\n// applied AFTER scale and BEFORE the offset shift. Identity defaults\n// (offset=0, scale=1, rotation=0) pass through unchanged.\nvec2 apply_uv_xform(vec2 uv, vec4 offset_scale, float rotation)\n{\n vec2 scaled = uv * offset_scale.zw;\n float c = cos(rotation), s = sin(rotation);\n vec2 rotated = vec2(c * scaled.x - s * scaled.y,\n s * scaled.x + c * scaled.y);\n return rotated + offset_scale.xy;\n}\n\n// Shader-level alpha-to-coverage. QRhi (6.12) doesn't expose\n// AlphaToCoverage on QRhiGraphicsPipeline, so we replicate the\n// behaviour at the shader level: gl_SampleMask[0] is a writable\n// per-fragment built-in where each bit selects whether the\n// corresponding MSAA sample is written. Convert alpha to a sample\n// count, set that many bits, screen-space-rotate per pixel so the\n// MSAA resolve smooths the silhouette into a soft edge.\n//\n// Sample count comes from MSAA_SAMPLES, an integer auto-injected by\n// libisf into the renderer UBO at binding=0 — score writes the active\n// RenderList's sample count there each frame. (We can't use\n// gl_NumSamples: glslang strips it when targeting SPIR-V.) Score lets\n// users pick any of {1, 2, 4, 8, 16}. With MSAA off, MSAA_SAMPLES=1\n// and we degrade to a 0.5 binary cutoff. Vulkan caps multisample\n// rasterization at 16x in practice; clamp there so the rotation math\n// stays defined for 32-bit uints.\n//\n// Returns false when the fragment is fully transparent → caller\n// discards (early-out skips the rest of main()).\nbool applyAlphaToCoverage(float alpha)\n{\n if(alpha <= 0.0)\n return false;\n\n int samples = clamp(MSAA_SAMPLES, 1, 16);\n uint full = (samples >= 32) ? 0xFFFFFFFFu\n : ((1u << uint(samples)) - 1u);\n\n if(alpha >= 1.0)\n {\n gl_SampleMask[0] = int(full);\n return true;\n }\n int n = int(round(alpha * float(samples)));\n if(n <= 0)\n return false;\n if(n >= samples)\n {\n gl_SampleMask[0] = int(full);\n return true;\n }\n\n // MSAA sample counts are powers of two, so (S-1) is a valid mask.\n // shift lands in [0, S-1]; rotation handles shift==0 cleanly\n // because base >> S is well-defined for S<=16 (< 32 bits).\n uint S = uint(samples);\n uint hash = uint(gl_FragCoord.x) * 1597u\n + uint(gl_FragCoord.y) * 2731u;\n uint shift = hash & (S - 1u);\n uint base = (1u << uint(n)) - 1u;\n uint rot = ((base << shift) | (base >> (S - shift))) & full;\n gl_SampleMask[0] = int(rot);\n return true;\n}\n\n// Map gl_FragCoord + view-space Z to a froxel index. Same log-spaced Z\n// slicing build_cluster_aabbs.csf uses, same (z*Y + y)*X + x flattening\n// volumetric_integrate.csf writes — keep these three formulas in sync\n// or sampling lands in the wrong cell.\nuint scoreClusterId(vec2 fragCoord, float viewZ)\n{\n vec2 uv = fragCoord / camera.renderSize.xy;\n uint gx = cluster_config.cluster_x;\n uint gy = cluster_config.cluster_y;\n uint gz = cluster_config.cluster_z;\n\n uint tx = uint(clamp(floor(uv.x * float(gx)), 0.0, float(gx) - 1.0));\n uint ty = uint(clamp(floor(uv.y * float(gy)), 0.0, float(gy) - 1.0));\n\n float zNear = camera.params.y;\n float zFar = camera.params.z;\n float depth = max(-viewZ, zNear);\n float t = float(gz) * log(depth / zNear) / log(zFar / zNear);\n uint tz = uint(clamp(t, 0.0, float(gz) - 1.0));\n\n return (tz * gy + ty) * gx + tx;\n}\n\n// Inline volumetric fog composite — see classic_pbr_openpbr.frag for\n// the full rationale. Two production-grade refinements vs the naive\n// nearest-cell lookup:\n// 1. Trilinear interpolation across the 8 surrounding froxels —\n// hides the cluster grid (16x9x24 default) which otherwise\n// shows up as a hard checkerboard at cell boundaries.\n// 2. volumetric_intensity blends toward identity rather than just\n// scaling accum, so low intensity == \"less fog\" rather than\n// \"no source + tiny in-scatter\".\n// Identity fallback when the toggle is off or cluster_x == 0u.\nvec3 applyVolumetric(vec3 inColor, vec2 fragCoord, float viewZ)\n{\n if(volumetric_enabled == 0)\n return inColor;\n\n uint gx = cluster_config.cluster_x;\n uint gy = cluster_config.cluster_y;\n uint gz = cluster_config.cluster_z;\n if(gx == 0u || gy == 0u || gz == 0u)\n return inColor;\n\n vec2 uv = fragCoord / camera.renderSize.xy;\n float zNear = camera.params.y;\n float zFar = camera.params.z;\n float depth = max(-viewZ, zNear);\n float fx = uv.x * float(gx) - 0.5;\n float fy = uv.y * float(gy) - 0.5;\n float fz = float(gz) * log(depth / zNear) / log(zFar / zNear) - 0.5;\n\n vec3 cf = clamp(vec3(fx, fy, fz), vec3(0.0),\n vec3(float(gx) - 1.0001,\n float(gy) - 1.0001,\n float(gz) - 1.0001));\n vec3 cb = floor(cf);\n vec3 t = cf - cb;\n uvec3 i0 = uvec3(cb);\n uvec3 i1 = min(i0 + 1u, uvec3(gx - 1u, gy - 1u, gz - 1u));\n\n #define IDX(ix, iy, iz) (((iz) * gy + (iy)) * gx + (ix))\n vec4 c000 = vol_integrated.data[IDX(i0.x, i0.y, i0.z)].accum_transmittance;\n vec4 c100 = vol_integrated.data[IDX(i1.x, i0.y, i0.z)].accum_transmittance;\n vec4 c010 = vol_integrated.data[IDX(i0.x, i1.y, i0.z)].accum_transmittance;\n vec4 c110 = vol_integrated.data[IDX(i1.x, i1.y, i0.z)].accum_transmittance;\n vec4 c001 = vol_integrated.data[IDX(i0.x, i0.y, i1.z)].accum_transmittance;\n vec4 c101 = vol_integrated.data[IDX(i1.x, i0.y, i1.z)].accum_transmittance;\n vec4 c011 = vol_integrated.data[IDX(i0.x, i1.y, i1.z)].accum_transmittance;\n vec4 c111 = vol_integrated.data[IDX(i1.x, i1.y, i1.z)].accum_transmittance;\n #undef IDX\n\n vec4 v = mix(mix(mix(c000, c100, t.x), mix(c010, c110, t.x), t.y),\n mix(mix(c001, c101, t.x), mix(c011, c111, t.x), t.y),\n t.z);\n\n float transm = clamp(v.a, 0.0, 1.0);\n vec3 accum = v.rgb;\n\n float k = volumetric_intensity;\n float k_blend = clamp(k, 0.0, 1.0);\n float transm_eff = mix(1.0, transm, k_blend);\n vec3 accum_eff = accum * k;\n\n return inColor * transm_eff + accum_eff;\n}\n\nvoid main()\n{\n // Default coverage: keep every MSAA sample. Once applyAlphaToCoverage\n // exists in the module, the SPIR-V output declares gl_SampleMask, and\n // any path that doesn't assign it leaves the value undefined — most\n // drivers default that to 0 and cull every sample, producing block-\n // speckle artifacts on non-alpha-mask materials. Seeding to all-ones\n // here makes the non-A2C paths render correctly; the A2C branch\n // overrides this for masked fragments.\n gl_SampleMask[0] = -1;\n\n PerDraw pd = per_draws.data[v_drawID];\n Material mat = scene_materials.entries[pd.material_index];\n MatUVXform mx = scene_material_uv_xforms.entries[pd.material_index];\n g_matWrap = scene_material_wrap.entries[pd.material_index].xyz;\n\n // glTF doubleSided: pipeline-side culling is OFF (cull_mode=none\n // in the MDI batch) so we get both faces. For SINGLE-sided materials\n // we discard back-facing fragments here to mimic CULL_BACK. For\n // DOUBLE-sided materials we keep the fragment and flip the normal\n // below so lighting on the back side works correctly.\n bool is_double_sided = (mat.feature_mask & kFeat_double_sided) != 0u;\n if(!is_double_sided && !gl_FrontFacing)\n discard;\n\n // Pick the per-channel texcoord source (TEXCOORD_0 vs TEXCOORD_1)\n // before applying the KHR_texture_transform. glTF allows each\n // texture_info to override its texcoord_set independently — BC\n // might use TEXCOORD_0 while Emissive uses TEXCOORD_1, etc.\n vec2 base_uv_bc = pick_uv(mat.feature_mask, kFeat_tcset_bc_shift, v_uv, v_uv1);\n vec2 base_uv_mr = pick_uv(mat.feature_mask, kFeat_tcset_mr_shift, v_uv, v_uv1);\n vec2 base_uv_nrm = pick_uv(mat.feature_mask, kFeat_tcset_nrm_shift, v_uv, v_uv1);\n vec2 base_uv_em = pick_uv(mat.feature_mask, kFeat_tcset_em_shift, v_uv, v_uv1);\n vec2 base_uv_occ = pick_uv(mat.feature_mask, kFeat_tcset_occ_shift, v_uv, v_uv1);\n\n // Per-channel UVs after KHR_texture_transform.\n vec2 uv_bc = apply_uv_xform(base_uv_bc, mx.bc_offset_scale, mx.rotations0.x);\n vec2 uv_mr = apply_uv_xform(base_uv_mr, mx.mr_offset_scale, mx.rotations0.y);\n vec2 uv_nrm = apply_uv_xform(base_uv_nrm, mx.normal_offset_scale, mx.rotations0.z);\n vec2 uv_em = apply_uv_xform(base_uv_em, mx.em_offset_scale, mx.rotations0.w);\n vec2 uv_occ = apply_uv_xform(base_uv_occ, mx.occ_offset_scale, mx.rotations1.x);\n\n // Pre-pull env knobs so the early-out (unlit) and main path both\n // see the same values. Defaults come from EnvironmentLoader if the\n // user wired one; otherwise the merged scene_environment carries\n // safe identity-ish values (ambient=0, exposure=1, gamma=2.2,\n // fog disabled).\n vec3 ambient_col = env.ambient.rgb * env.ambient.w;\n float exposure_mul = max(env.exposure_gamma.x, 1e-6);\n float gamma = max(env.exposure_gamma.y, 1e-3);\n\n // ─── Base color ────────────────────────────────────────────────────\n // glTF: final base = baseColorFactor × baseColorTexture × COLOR_0\n // (vertex color). v_color defaults to white when the mesh doesn't\n // have COLOR_0 (slab uploader fills with vec4(1) in that case).\n vec4 bc = sample_slot_bc(mat.textureRefs.x, matWrap(0u), uv_bc, vec4(1.0));\n\n // Alpha-mask edge-bleed compensation. Source PNGs for foliage / hair\n // / fence-style cutouts have alpha=0 in transparent regions with\n // RGB=0 there too (standard authoring). Mip / aniso filtering\n // averages RGB and alpha independently — near a leaf edge the\n // sampled RGB ends up `leaf_color × alpha_avg`, so post-alpha-test\n // surviving fragments read a darkened RGB and the silhouette gets a\n // black halo. Dividing RGB by alpha inverts the alpha-weighted\n // averaging and recovers the source colour. Skip when alpha is near\n // zero (would discard anyway) and when the material isn't\n // alpha-masked (BLEND / OPAQUE both want the literal sampled RGB).\n if((mat.feature_mask & kFeat_alpha_mask) != 0u && bc.a > 1e-3)\n bc.rgb /= bc.a;\n\n // Per-instance broadcast colour rides through `v_inst_color` from\n // the vertex stage. For non-instanced draws the REQUIRED:false\n // fallback fires identity (1,1,1,1) so the modulation collapses\n // to the per-vertex × material × baseColor product.\n vec3 base = mat.baseColor.rgb * bc.rgb * v_color.rgb * v_inst_color.rgb;\n float alpha = mat.baseColor.a * bc.a * v_color.a * v_inst_color.a;\n\n // glTF alphaMode=MASK — early discard before any expensive work.\n // Two paths:\n // alpha_a2c_enabled = 1 → shader-level alpha-to-coverage via\n // gl_SampleMask. Best edge quality when\n // MSAA is on; degrades gracefully to a\n // hard cutoff when MSAA is off (round\n // saturates to 0 / 8).\n // default → classic binary cutoff.\n if((mat.feature_mask & kFeat_alpha_mask) != 0u)\n {\n if(alpha_a2c_enabled != 0)\n {\n if(!applyAlphaToCoverage(alpha))\n discard;\n }\n else\n {\n if(alpha < mat.alpha_cutoff)\n discard;\n }\n }\n\n // ─── Metal-Rough-Occlusion (glTF packing: R=occ, G=rough, B=metal) ─\n vec4 mr = sample_slot_mr(mat.textureRefs.y, matWrap(1u), uv_mr, vec4(1.0, 1.0, 1.0, 1.0));\n float metallic\n = mat.metallicRoughnessOcclusionUnlit.x * mr.b;\n float roughness\n = clamp(mat.metallicRoughnessOcclusionUnlit.y * mr.g, 0.04, 1.0);\n // Occlusion: prefer separate occlusionTexture when set; else fall\n // back to MR.r (the common packed-MR convention).\n float occ_sample;\n if((mat.feature_mask & kFeat_has_separate_occ) != 0u)\n occ_sample = sample_slot_occ(mat.occlusion_textureRef, matWrap(4u), uv_occ, vec4(1.0)).r;\n else\n occ_sample = mr.r;\n float occlusion = occ_sample * mat.metallicRoughnessOcclusionUnlit.z;\n float unlit = mat.metallicRoughnessOcclusionUnlit.w;\n\n // ─── Emissive ─────────────────────────────────────────────────────\n vec4 em = sample_slot_em(mat.textureRefs.w, matWrap(3u), uv_em, vec4(1.0));\n vec3 emissive\n = mat.emissive_strength.xyz * em.rgb * mat.emissive_strength.w;\n emissive += v_inst_emissive.rgb;\n\n if(unlit > 0.5)\n {\n // Volumetric composite BEFORE exposure_mul — accum is in raw\n // light units (same scale as the BSDF result), so both sides\n // of `inColor * transm + accum` stay in matched units.\n // Output is linear HDR — the downstream tonemap owns the\n // HDR→display compression and sRGB encode. (Doing pow(_,1/gamma)\n // here would clip everything > 1 post-exposure to flat white\n // before the tonemap could read the HDR signal — that's what\n // made volumetric in-scatter blow out to saturated pink.)\n vec3 color = base + emissive;\n float viewZ_unlit = (camera.view * vec4(v_worldPos, 1.0)).z;\n color = applyVolumetric(color, gl_FragCoord.xy, viewZ_unlit);\n color *= exposure_mul;\n isf_FragColor = vec4(max(color, vec3(0.0)), (mat.feature_mask & (1u << 17u)) != 0u ? alpha : 1.0);\n return;\n }\n\n // ─── Surface normal (tangent-space normal map if present) ─────────\n vec3 N = normalize(v_normal);\n // Double-sided: flip the surface normal for back-facing fragments\n // so the BRDF evaluates with the correct hemisphere on both sides\n // of the surface. (Single-sided materials never reach here for\n // back faces — they were discarded above.)\n if(is_double_sided && !gl_FrontFacing)\n N = -N;\n // Toksvig variance accumulator (Olano-Baker 2010). Captures the\n // amount of normal-map variance lost to mip-level averaging /\n // multi-tap anisotropic averaging — info the GPU's bilinear+mip\n // filter normally throws away when shaders re-normalize sampled\n // normals. Folded into the specular-AA block below alongside the\n // screen-space (Tokuyoshi-Kaplanyan) variance.\n float toksvig_sigma2 = 0.0;\n uint normRef = mat.textureRefs.z;\n if(normRef != 0xFFFFFFFFu && length(v_tangent.xyz) > 0.5)\n {\n vec3 T = normalize(v_tangent.xyz);\n vec3 B = normalize(cross(N, T) * v_tangent.w);\n mat3 TBN = mat3(T, B, N);\n // Normal map sampling goes through the bucket ladder so\n // mixed-resolution / compressed normal atlases work. The\n // default (0.5,0.5,1.0) fallback decodes to a zero tangent-\n // space delta — same as no normal map at all — if the bucket\n // slot isn't populated.\n //\n // Keep the UN-NORMALIZED sample so its length can drive the\n // Toksvig boost: anisoSample averages multiple weighted taps\n // and mip filtering averages within texels, both of which\n // shorten |n| when sub-pixel normals had directional spread.\n // (1 - |n|²) is the \"lost variance\" added back as roughness.\n vec3 nm_raw = sample_slot_nrm(normRef, matWrap(2u), uv_nrm,\n vec4(0.5, 0.5, 1.0, 1.0)).xyz\n * 2.0 - 1.0;\n toksvig_sigma2 = max(0.0, 1.0 - dot(nm_raw, nm_raw));\n N = normalize(TBN * normalize(nm_raw));\n }\n\n vec3 V = normalize(camera.cameraPosition.xyz - v_worldPos);\n float NdotV = max(dot(N, V), 1e-4);\n\n // Metallic workflow.\n vec3 F0 = mix(vec3(0.04), base, metallic);\n vec3 kd = (1.0 - metallic) * base;\n\n // Cheap environment term — same \"fake IBL\" as classic_pbr_textured;\n // classic_pbr_ibl is the cubemap-sampled variant.\n vec3 Fv = F0 + (1.0 - F0) * pow(1.0 - NdotV, 5.0);\n vec3 fake_env = Fv * base * 0.25;\n\n // Ambient comes from EnvironmentLoader (env.ambient.rgb × intensity\n // in .w). When the user hasn't wired one, ambient_col is zero and\n // the fake_env term + lights carry the lighting. The 0.04 floor is\n // gone — letting users actually dial ambient down to black.\n vec3 result = ambient_col * base * occlusion\n + emissive\n + fake_env * occlusion;\n\n float alpha_g = max(roughness * roughness, 1e-4);\n float alpha2 = alpha_g * alpha_g;\n float k = (roughness + 1.0) * (roughness + 1.0) / 8.0;\n\n // ─── Specular antialiasing — Tokuyoshi-Kaplanyan + Toksvig ───────\n //\n // Three variance sources combined into a single roughness boost:\n //\n // (A) Tokuyoshi-Kaplanyan 2019, \"Improved Geometric Specular\n // Antialiasing\" — screen-space derivatives of the world-\n // space normal. Captures sub-pixel-footprint normal\n // variance from geometry, normal-map silhouettes, and\n // interpolation across neighbours.\n //\n // (B) Toksvig 2005, \"Mipmapping Normal Maps\" — texture-space\n // variance from filtered-normal shortening. Captures\n // variance lost to mip averaging + our multi-tap\n // anisotropic sampler that the GPU's linear filter and\n // shader's normalize() throw away.\n //\n // (C) Grazing-angle amplification — a heuristic 1/NdotV scale\n // (capped) on the screen-space variance, approximating\n // Tokuyoshi-Kaplanyan's anisotropic Jacobian projection of\n // normal variance onto the half-vector tangent plane. The\n // full anisotropic form derives this matrix-multiply\n // explicitly; the 1/NdotV scalar captures the leading-\n // order behaviour at grazing where the BRDF stretches\n // most. Targets the \"noisy floor at grazing light\"\n // failure mode: at grazing, the half-vector becomes\n // perpendicular to the surface, NdotH gets small, and the\n // GGX D term's denominator hyperbola makes small N\n // variations move the highlight in/out of pixels.\n //\n // (A)+(B) cover variance from BOTH variance domains — the\n // screen-space and texture-space sources are independent and\n // additive. (C) amplifies (A) where the BRDF Jacobian demands it.\n vec3 dNdx = dFdx(N);\n vec3 dNdy = dFdy(N);\n float kernelRoughness2 = 2.0 * (dot(dNdx, dNdx) + dot(dNdy, dNdy));\n\n // (C) grazing amplification. NdotV floor of 0.05 prevents\n // runaway at near-tangent view; cap at 8× keeps the boost\n // bounded so we don't blow specular into pure diffuse.\n float grazing_aa = clamp(1.0 / max(NdotV, 0.05), 1.0, 8.0);\n kernelRoughness2 *= grazing_aa;\n\n // Combine (A)·grazing + (B). Cap to keep alpha² in [0, 1] after\n // the boost; 0.5 is the standard upper bound used by Filament +\n // the Tokuyoshi-Kaplanyan reference.\n const float specAaSigma2Max = 0.5;\n float total_aa_sigma2 = clamp(kernelRoughness2 + toksvig_sigma2,\n 0.0, specAaSigma2Max);\n alpha2 = clamp(alpha2 + total_aa_sigma2, 0.0, 1.0);\n alpha_g = sqrt(alpha2);\n // Re-derive Schlick-Smith k from the filtered roughness too so the\n // G term widens in lockstep with D — otherwise rough-but-filtered\n // surfaces still get an over-tight visibility term.\n float roughness_f = sqrt(alpha_g);\n k = (roughness_f + 1.0) * (roughness_f + 1.0) / 8.0;\n\n uint n = scene_counts.light_count;\n for(uint i = 0u; i < n; ++i)\n {\n uint slot = scene_light_indices.data[i];\n Light L = scene_lights.entries[slot];\n\n // Two paths for resolving the light's world-space placement:\n //\n // transform_slot == 0xFFFFFFFF (sentinel):\n // The light was authored procedurally (e.g. by a compute CSF\n // reading a point cloud or particle system) and carries its\n // world position inline in local_direction.xyz. 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\"IMPORTED\" : [\n\n ],\n \"CATEGORIES\" : [\n \"Automatically Converted\",\n \"Shadertoy\"\n ],\n \"DESCRIPTION\" : \"Automatically converted from https:\\/\\/www.shadertoy.com\\/view\\/MsdGWn by And390. A simple example of smoke-like curl noise. Based on simplex noise with FBM.\",\n \"INPUTS\" : [\n\n ]\n}\n*/\n\n\nconst int noiseSwirlSteps = 2;\nconst float noiseSwirlValue = 1.;\nconst float noiseSwirlStepValue = noiseSwirlValue / float(noiseSwirlSteps);\n\nconst float noiseScale = 2.;\nconst float noiseTimeScale = 0.1;\n\n\nfloat simplex(vec3 v);\nfloat getNoise(vec3 v);\n\n\nvoid main() {\n\n\n\n\tvec2 uv = isf_FragNormCoord;\n\tfloat noise = getNoise(vec3(uv * noiseScale, TIME * noiseTimeScale));\n noise = noise * noise * noise * noise * 2.0; //more contrast\n gl_FragColor = vec4(noise, noise, noise, 1.0);\n}\n\n\n\nfloat fbm3(vec3 v) {\n float result = simplex(v);\n result += simplex(v * 2.) / 2.;\n result += simplex(v * 4.) / 4.;\n result /= (1. + 1./2. + 1./4.);\n return result;\n}\n\nfloat fbm5(vec3 v) {\n float result = simplex(v);\n result += simplex(v * 2.) / 2.;\n result += simplex(v * 4.) / 4.;\n result += simplex(v * 8.) / 8.;\n result += simplex(v * 16.) / 16.;\n result /= (1. + 1./2. + 1./4. + 1./8. + 1./16.);\n return result;\n}\n\nfloat getNoise(vec3 v) {\n // make it curl\n for (int i=0; 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}\n\nfloat snoise(vec2 v){\n const vec4 C = vec4(0.211324865405187, 0.366025403784439,\n -0.577350269189626, 0.024390243902439);\n vec2 i = floor(v + dot(v, C.yy) );\n vec2 x0 = v - i + dot(i, C.xx);\n vec2 i1;\n i1 = (x0.x > x0.y) ? vec2(1.0, 0.0) : vec2(0.0, 1.0);\n vec4 x12 = x0.xyxy + C.xxzz;\n x12.xy -= i1;\n i = mod(i, 289.0);\n vec3 p = permute( permute( i.y + vec3(0.0, i1.y, 1.0 ))\n + i.x + vec3(0.0, i1.x, 1.0 ));\n vec3 m = max(0.5 - vec3(dot(x0,x0), dot(x12.xy,x12.xy),\n dot(x12.zw,x12.zw)), 0.0);\n m = m*m ;\n m = m*m ;\n vec3 x = 2.0 * fract(p * C.www) - 1.0;\n vec3 h = abs(x) - 0.5;\n vec3 ox = floor(x + 0.5);\n vec3 a0 = x - ox;\n m *= 1.79284291400159 - 0.85373472095314 * ( a0*a0 + h*h );\n vec3 g;\n g.x = a0.x * x0.x + h.x * x0.y;\n g.yz = a0.yz * x12.xz + h.yz * x12.yw;\n return 130.0 * dot(m, g);\n}\n\nvoid main()\t{\n vec2 uv = isf_FragNormCoord.xy + offset;\n\tgl_FragColor = vec4(vec3(snoise(uv * scale)), 1.0);\n}\n","Root":":ossia/score/packages/default/Presets/GLSL_shaders/basic/generator/Simplex Noise.fs","Inlets":[{"uuid":"0adbbdda-fda4-451e-91cc-1da731bde9d5","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"offset","Exposed":"offset","Value":{"Vec2f":[0.0,0.0]},"Init":{"Vec2f":[0.0,0.0]},"Domain":{"Vec2f":{"Min":[-500.0,-500.0],"Max":[500.0,500.0],"Values":[[],[]]}},"Integral":false},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"scale","Exposed":"scale","Value":{"Float":4.0},"Init":{"Float":4.0},"Domain":{"Float":{"Min":0.0,"Max":100.0}}}],"Outlets":[{"uuid":"f1c71046-b754-49a5-8e66-d01374773dfc","ObjectName":"Outlet","id":1,"Hidden":false,"Custom":"Texture Out","Exposed":"texture out"}]},{"uuid":"74ca45ff-92c9-44a0-8f1a-754dea05ee1b","ObjectName":"gfxProcess","id":14,"Metadata":{"ScriptingName":"Bloom","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":11289600000,"Height":300.0,"StartOffset":0,"LoopDuration":11289600000,"Pos":[1359.2499314899978,-255.80479449999737],"Size":[292.0,160.0],"Loops":false,"FoldMode":0,"Vertex":"","Fragment":"/*{\n \"CREDIT\": \"ossia score\",\n \"ISFVSN\": \"2\",\n \"DESCRIPTION\": \"Bloom / glow with iterative separable Gaussian blur. Extracts bright pixels with soft knee, blurs with 4 H/V iterations, composites onto original. HDR-aware. Smooth, wide, artifact-free.\",\n \"CATEGORIES\": [ \"Filter\" ],\n \"INPUTS\": [\n { \"NAME\": \"inputImage\", \"TYPE\": \"image\" },\n { \"NAME\": \"threshold\", \"LABEL\": \"Threshold\", \"TYPE\": \"float\", \"DEFAULT\": 0.8, \"MIN\": 0.0, \"MAX\": 5.0 },\n { \"NAME\": \"soft_knee\", \"LABEL\": \"Soft Knee\", \"TYPE\": \"float\", \"DEFAULT\": 0.5, \"MIN\": 0.0, \"MAX\": 1.0 },\n { \"NAME\": \"intensity\", \"LABEL\": \"Intensity\", \"TYPE\": \"float\", \"DEFAULT\": 0.4, \"MIN\": 0.0, \"MAX\": 2.0 },\n { \"NAME\": \"spread\", \"LABEL\": \"Spread\", \"TYPE\": \"float\", \"DEFAULT\": 3.0, \"MIN\": 0.5, \"MAX\": 10.0 },\n { \"NAME\": \"tint\", \"LABEL\": \"Bloom Tint\", \"TYPE\": \"color\", \"DEFAULT\": [ 1.0, 1.0, 1.0, 1.0 ] }\n ],\n \"PASSES\": [\n { \"TARGET\": \"bright\" },\n { \"TARGET\": \"h1\" },\n { \"TARGET\": \"v1\" },\n { \"TARGET\": \"h2\" },\n { \"TARGET\": \"v2\" },\n { \"TARGET\": \"h3\" },\n { \"TARGET\": \"v3\" },\n { \"TARGET\": \"h4\" },\n { \"TARGET\": \"v4\" },\n {}\n ]\n}*/\n\nconst vec3 luma_coeff = vec3(0.2126, 0.7152, 0.0722);\nconst float offsets[3] = float[3](0.0, 1.3846153846, 3.2307692308);\nconst float weights[3] = float[3](0.2270270270, 0.3162162162, 0.0702702703);\n\nvec4 blur9(sampler2D tex, vec2 uv, vec2 direction, float s) {\n vec2 px = direction * s / RENDERSIZE;\n vec4 c = IMG_NORM_PIXEL(tex, uv) * weights[0];\n for (int i = 1; i < 3; i++) {\n vec2 off = px * offsets[i];\n c += IMG_NORM_PIXEL(tex, uv + off) * weights[i];\n c += IMG_NORM_PIXEL(tex, uv - off) * weights[i];\n }\n return c;\n}\n\nvoid main() {\n vec2 uv = isf_FragNormCoord;\n float s = spread * 0.5;\n\n if (PASSINDEX == 0) {\n vec4 c = IMG_NORM_PIXEL(inputImage, uv);\n float L = dot(luma_coeff, c.rgb);\n float knee = threshold * soft_knee;\n float t = max(L - threshold + knee, 0.0);\n float blend = min(t / (2.0 * knee + 0.0001), 1.0);\n blend *= blend;\n gl_FragColor = vec4(c.rgb * blend, c.a);\n }\n else if (PASSINDEX == 1) gl_FragColor = blur9(bright, uv, vec2(1,0), s);\n else if (PASSINDEX == 2) gl_FragColor = blur9(h1, uv, vec2(0,1), s);\n else if (PASSINDEX == 3) gl_FragColor = blur9(v1, uv, vec2(1,0), s);\n else if (PASSINDEX == 4) gl_FragColor = blur9(h2, uv, vec2(0,1), s);\n else if (PASSINDEX == 5) gl_FragColor = blur9(v2, uv, vec2(1,0), s);\n else if (PASSINDEX == 6) gl_FragColor = blur9(h3, uv, vec2(0,1), s);\n else if (PASSINDEX == 7) gl_FragColor = blur9(v3, uv, vec2(1,0), s);\n else if (PASSINDEX == 8) gl_FragColor = blur9(h4, uv, vec2(0,1), s);\n else {\n vec4 original = IMG_NORM_PIXEL(inputImage, uv);\n vec3 bloom = IMG_NORM_PIXEL(v4, uv).rgb * intensity * tint.rgb;\n gl_FragColor = vec4(original.rgb + bloom, original.a);\n 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