bevy stuff

.cargo/config.toml

···
 
 [target.wasm32-unknown-unknown]
-rustflags = ['--cfg', 'getrandom_backend="wasm_js"']
+rustflags = ['--cfg', 'getrandom_backend="wasm_js"', "-Zshare-generics=y",]
+
+[target.x86_64-unknown-linux-gnu]
+rustflags = ["-C", "link-arg=-fuse-ld=lld", "-Zshare-generics=y",]

Cargo.lock

···
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1fd310426290cec560221f9750c2f4484be4a8eeea7de3483c423329b465c40e"
 dependencies = [
+ "bevy_dylib",
  "bevy_internal",
 ]
 
···
  "bevy_utils",
  "cfg-if",
  "console_error_panic_hook",
+ "crossbeam-channel",
  "ctrlc",
+ "dioxus-devtools",
  "downcast-rs 2.0.2",
  "log",
  "thiserror 2.0.18",
···
  "bevy_utils",
  "bitflags 2.11.0",
  "blake3",
+ "blocking",
  "crossbeam-channel",
  "derive_more 2.1.1",
  "disqualified",
···
  "futures-lite",
  "futures-util",
  "js-sys",
+ "notify-debouncer-full",
  "ron",
  "serde",
  "stackfuture",
  "thiserror 2.0.18",
  "tracing",
+ "ureq",
  "uuid",
  "wasm-bindgen",
  "wasm-bindgen-futures",
···
 ]
 
 [[package]]
+name = "bevy_dylib"
+version = "0.18.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f142f72bbbc1a61338bf6da5dc7cf6dcf223683b9d53bcd635ebff4bfeb5308f"
+dependencies = [
+ "bevy_internal",
+]
+
+[[package]]
 name = "bevy_ecs"
 version = "0.18.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
  "serde",
  "slotmap",
  "smallvec",
+ "subsecond",
  "thiserror 2.0.18",
  "variadics_please",
 ]
···
  "cc",
  "cfg-if",
  "constant_time_eq",
- "cpufeatures",
+ "cpufeatures 0.2.17",
 ]
 
 [[package]]
···
 checksum = "613afe47fcd5fac7ccf1db93babcb082c5994d996f20b8b159f2ad1658eb5724"
 
 [[package]]
+name = "chacha20"
+version = "0.10.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6f8d983286843e49675a4b7a2d174efe136dc93a18d69130dd18198a6c167601"
+dependencies = [
+ "cfg-if",
+ "cpufeatures 0.3.0",
+ "rand_core 0.10.0",
+]
+
+[[package]]
 name = "chrono"
 version = "0.4.44"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "2f421161cb492475f1661ddc9815a745a1c894592070661180fdec3d4872e9c3"
 
 [[package]]
+name = "const_format"
+version = "0.2.35"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7faa7469a93a566e9ccc1c73fe783b4a65c274c5ace346038dca9c39fe0030ad"
+dependencies = [
+ "const_format_proc_macros",
+]
+
+[[package]]
+name = "const_format_proc_macros"
+version = "0.2.34"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1d57c2eccfb16dbac1f4e61e206105db5820c9d26c3c472bc17c774259ef7744"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "unicode-xid",
+]
+
+[[package]]
 name = "const_panic"
 version = "0.2.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 ]
 
 [[package]]
+name = "cpufeatures"
+version = "0.3.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8b2a41393f66f16b0823bb79094d54ac5fbd34ab292ddafb9a0456ac9f87d201"
+dependencies = [
+ "libc",
+]
+
+[[package]]
 name = "crc32fast"
 version = "1.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "97fb8b7c4503de7d6ae7b42ab72a5a59857b4c937ec27a3d4539dba95b5ab2be"
 dependencies = [
  "cfg-if",
- "cpufeatures",
+ "cpufeatures 0.2.17",
  "curve25519-dalek-derive",
  "digest",
  "fiat-crypto",
···
 ]
 
 [[package]]
+name = "dioxus-cli-config"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c59e9d9da2e7334fdae5d77e3989207aa549062f74ff1ca2171393bbdd7fda90"
+
+[[package]]
+name = "dioxus-core"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7400cbd21a98e585a13f8c29574da9b8afb2fd343f712618042b6c71761f0933"
+dependencies = [
+ "anyhow",
+ "const_format",
+ "dioxus-core-types",
+ "futures-channel",
+ "futures-util",
+ "generational-box",
+ "longest-increasing-subsequence",
+ "rustc-hash 2.1.1",
+ "rustversion",
+ "serde",
+ "slab",
+ "slotmap",
+ "subsecond",
+ "tracing",
+]
+
+[[package]]
+name = "dioxus-core-types"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0652ab5f9c2c32261d44a3155debbfd909ed03d03434d7f70f5a796bf255c519"
+
+[[package]]
+name = "dioxus-devtools"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9748128bcd102b10e58c765939807053ccab542206a939b8bab228077455c259"
+dependencies = [
+ "dioxus-cli-config",
+ "dioxus-core",
+ "dioxus-devtools-types",
+ "dioxus-signals",
+ "serde",
+ "serde_json",
+ "subsecond",
+ "thiserror 2.0.18",
+ "tracing",
+ "tungstenite",
+]
+
+[[package]]
+name = "dioxus-devtools-types"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "48540ca8a0ab1ec81cd4db35f0c9713d43b158647fc1dcb0d79965fc3b41d96c"
+dependencies = [
+ "dioxus-core",
+ "serde",
+ "subsecond-types",
+]
+
+[[package]]
+name = "dioxus-signals"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "27fc4df7a31a7f02e5a0b40884bb66ee165226a05d75fce03baa44029e438762"
+dependencies = [
+ "dioxus-core",
+ "futures-channel",
+ "futures-util",
+ "generational-box",
+ "parking_lot",
+ "rustc-hash 2.1.1",
+ "tracing",
+ "warnings",
+]
+
+[[package]]
 name = "dispatch"
 version = "0.2.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "28dea519a9695b9977216879a3ebfddf92f1c08c05d984f8996aecd6ecdc811d"
 
 [[package]]
+name = "file-id"
+version = "0.2.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e1fc6a637b6dc58414714eddd9170ff187ecb0933d4c7024d1abbd23a3cc26e9"
+dependencies = [
+ "windows-sys 0.60.2",
+]
+
+[[package]]
 name = "filetime"
 version = "0.2.27"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "cb4cb245038516f5f85277875cdaa4f7d2c9a0fa0468de06ed190163b1581fcf"
 dependencies = [
  "percent-encoding",
+]
+
+[[package]]
+name = "fsevent-sys"
+version = "4.1.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "76ee7a02da4d231650c7cea31349b889be2f45ddb3ef3032d2ec8185f6313fd2"
+dependencies = [
+ "libc",
 ]
 
 [[package]]
···
 ]
 
 [[package]]
+name = "generational-box"
+version = "0.7.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e658d10252a15200ca4a1c67c7180fc0baffa3f92869bbd903025daf6f70fd65"
+dependencies = [
+ "parking_lot",
+ "tracing",
+]
+
+[[package]]
 name = "generator"
 version = "0.8.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
  "cfg-if",
  "libc",
  "r-efi 6.0.0",
+ "rand_core 0.10.0",
  "wasip2",
  "wasip3",
 ]
···
 
 [[package]]
 name = "jacquard"
-version = "0.11.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1e4bb22329646c06eb07eb63ae6d33320e8f52ae8b5a5444257f27c3d68d44ae"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "bytes",
  "getrandom 0.2.17",
···
 
 [[package]]
 name = "jacquard-api"
-version = "0.11.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f4bba022e9c632f737de481d7c894b5736dd1a503362876ca4da49b9255a7e61"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "jacquard-common",
  "jacquard-derive",
···
 
 [[package]]
 name = "jacquard-common"
-version = "0.11.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9631f08f1e65d19e204bc6774d00b4e0b69fb649d7d7ac59ccf97797bd9a196e"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "base64 0.22.1",
  "bon",
···
 
 [[package]]
 name = "jacquard-derive"
-version = "0.11.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "22904bd0f9a959591e14ee9e1dab91a9110209cb8b292930e584134f96a83ece"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "heck 0.5.0",
  "jacquard-lexicon",
···
 
 [[package]]
 name = "jacquard-identity"
-version = "0.11.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b84a9302ea9dd39c49d748a8eba21faf365570088571ff327ebb00117dbd65b8"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "bon",
  "bytes",
···
 
 [[package]]
 name = "jacquard-lexicon"
-version = "0.11.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fd7863d4f56a49f07391b5f775e82be12e6381156642ee83574f481ca73e8b0e"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "cid",
  "dashmap",
···
 
 [[package]]
 name = "jacquard-oauth"
-version = "0.11.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ca0b3a8b765b3d3f1890233f9f62dda1b1524d1dc9967c310e5b009b93443776"
+version = "0.12.0-beta.1"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "base64 0.22.1",
  "bytes",
···
 dependencies = [
  "bevy",
  "jacquard",
+ "rand 0.10.0",
+ "rand_chacha 0.10.0",
 ]
 
 [[package]]
···
 checksum = "e2db585e1d738fc771bf08a151420d3ed193d9d895a36df7f6f8a9456b911ddc"
 
 [[package]]
+name = "kqueue"
+version = "1.1.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "eac30106d7dce88daf4a3fcb4879ea939476d5074a9b7ddd0fb97fa4bed5596a"
+dependencies = [
+ "kqueue-sys",
+ "libc",
+]
+
+[[package]]
+name = "kqueue-sys"
+version = "1.0.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ed9625ffda8729b85e45cf04090035ac368927b8cebc34898e7c120f52e4838b"
+dependencies = [
+ "bitflags 1.3.2",
+ "libc",
+]
+
+[[package]]
 name = "ktx2"
 version = "0.4.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "5e5032e24019045c762d3c0f28f5b6b8bbf38563a65908389bf7978758920897"
 
 [[package]]
+name = "longest-increasing-subsequence"
+version = "0.1.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b3bd0dd2cd90571056fdb71f6275fada10131182f84899f4b2a916e565d81d86"
+
+[[package]]
 name = "loom"
 version = "0.7.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "f8ca58f447f06ed17d5fc4043ce1b10dd205e060fb3ce5b979b8ed8e59ff3f79"
 
 [[package]]
+name = "memfd"
+version = "0.6.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ad38eb12aea514a0466ea40a80fd8cc83637065948eb4a426e4aa46261175227"
+dependencies = [
+ "rustix 1.1.4",
+]
+
+[[package]]
 name = "memmap2"
 version = "0.9.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 [[package]]
 name = "mini-moka-wasm"
 version = "0.10.99"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0102b9a2ad50fa47ca89eead2316c8222285ecfbd3f69ce99564fbe4253866e8"
+source = "git+https://tangled.org/nonbinary.computer/jacquard?branch=bos-beta#78b56e74dbc78ea9529d388693b30ed10a1c5816"
 dependencies = [
  "crossbeam-channel",
  "crossbeam-utils",
···
 checksum = "a69bcab0ad47271a0234d9422b131806bf3968021e5dc9328caf2d4cd58557fc"
 dependencies = [
  "libc",
+ "log",
  "wasi",
  "windows-sys 0.61.2",
 ]
···
 checksum = "610a5acd306ec67f907abe5567859a3c693fb9886eb1f012ab8f2a47bef3db51"
 
 [[package]]
+name = "notify"
+version = "8.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4d3d07927151ff8575b7087f245456e549fea62edf0ec4e565a5ee50c8402bc3"
+dependencies = [
+ "bitflags 2.11.0",
+ "fsevent-sys",
+ "inotify",
+ "kqueue",
+ "libc",
+ "log",
+ "mio",
+ "notify-types",
+ "walkdir",
+ "windows-sys 0.60.2",
+]
+
+[[package]]
+name = "notify-debouncer-full"
+version = "0.6.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "375bd3a138be7bfeff3480e4a623df4cbfb55b79df617c055cd810ba466fa078"
+dependencies = [
+ "file-id",
+ "log",
+ "notify",
+ "notify-types",
+ "walkdir",
+]
+
+[[package]]
+name = "notify-types"
+version = "2.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5e0826a989adedc2a244799e823aece04662b66609d96af8dff7ac6df9a8925d"
+
+[[package]]
 name = "ntapi"
 version = "0.4.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 version = "1.21.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9f7c3e4beb33f85d45ae3e3a1792185706c8e16d043238c593331cc7cd313b50"
+
+[[package]]
+name = "openssl-probe"
+version = "0.2.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7c87def4c32ab89d880effc9e097653c8da5d6ef28e6b539d313baaacfbafcbe"
 
 [[package]]
 name = "orbclient"
···
  "once_cell",
  "socket2 0.6.3",
  "tracing",
- "windows-sys 0.59.0",
+ "windows-sys 0.60.2",
 ]
 
 [[package]]
···
 ]
 
 [[package]]
+name = "rand"
+version = "0.10.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "bc266eb313df6c5c09c1c7b1fbe2510961e5bcd3add930c1e31f7ed9da0feff8"
+dependencies = [
+ "chacha20",
+ "getrandom 0.4.2",
+ "rand_core 0.10.0",
+]
+
+[[package]]
 name = "rand_chacha"
 version = "0.3.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 ]
 
 [[package]]
+name = "rand_chacha"
+version = "0.10.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3e6af7f3e25ded52c41df4e0b1af2d047e45896c2f3281792ed68a1c243daedb"
+dependencies = [
+ "ppv-lite86",
+ "rand_core 0.10.0",
+]
+
+[[package]]
 name = "rand_core"
 version = "0.6.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 dependencies = [
  "getrandom 0.3.4",
 ]
+
+[[package]]
+name = "rand_core"
+version = "0.10.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0c8d0fd677905edcbeedbf2edb6494d676f0e98d54d5cf9bda0b061cb8fb8aba"
 
 [[package]]
 name = "rand_distr"
···
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "758025cb5fccfd3bc2fd74708fd4682be41d99e5dff73c377c0646c6012c73a4"
 dependencies = [
+ "log",
  "once_cell",
  "ring",
  "rustls-pki-types",
  "rustls-webpki",
  "subtle",
  "zeroize",
+]
+
+[[package]]
+name = "rustls-native-certs"
+version = "0.8.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "612460d5f7bea540c490b2b6395d8e34a953e52b491accd6c86c8164c5932a63"
+dependencies = [
+ "openssl-probe",
+ "rustls-pki-types",
+ "schannel",
+ "security-framework",
 ]
 
 [[package]]
···
 ]
 
 [[package]]
+name = "rustls-platform-verifier"
+version = "0.6.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1d99feebc72bae7ab76ba994bb5e121b8d83d910ca40b36e0921f53becc41784"
+dependencies = [
+ "core-foundation 0.10.1",
+ "core-foundation-sys",
+ "jni 0.21.1",
+ "log",
+ "once_cell",
+ "rustls",
+ "rustls-native-certs",
+ "rustls-platform-verifier-android",
+ "rustls-webpki",
+ "security-framework",
+ "security-framework-sys",
+ "webpki-root-certs",
+ "windows-sys 0.61.2",
+]
+
+[[package]]
+name = "rustls-platform-verifier-android"
+version = "0.1.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f87165f0995f63a9fbeea62b64d10b4d9d8e78ec6d7d51fb2125fda7bb36788f"
+
+[[package]]
 name = "rustls-webpki"
 version = "0.103.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "93fc1dc3aaa9bfed95e02e6eadabb4baf7e3078b0bd1b4d7b6b0b68378900502"
 dependencies = [
  "winapi-util",
+]
+
+[[package]]
+name = "schannel"
+version = "0.1.29"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "91c1b7e4904c873ef0710c1f407dde2e6287de2bebc1bbbf7d430bb7cbffd939"
+dependencies = [
+ "windows-sys 0.61.2",
 ]
 
 [[package]]
···
 ]
 
 [[package]]
+name = "security-framework"
+version = "3.7.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
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+ "libc",
+ "security-framework-sys",
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+
+[[package]]
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+ "libc",
+]
+
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 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 ]
 
 [[package]]
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+checksum = "e3bf829a2d51ab4a5ddf1352d8470c140cadc8301b2ae1789db023f01cedd6ba"
+dependencies = [
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+ "cpufeatures 0.2.17",
+ "digest",
+]
+
+[[package]]
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 version = "1.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
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 dependencies = [
  "cfg-if",
- "cpufeatures",
+ "cpufeatures 0.2.17",
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 ]
 
···
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 checksum = "bdd58c3c93c3d278ca835519292445cb4b0d4dc59ccfdf7ceadaab3f8aeb4038"
 dependencies = [
+ "serde",
  "version_check",
 ]
 
···
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+
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+checksum = "c09bc2c9ef0381b403ab8b58122961cb83266d16b1f55f9486d5857ba4a9ae26"
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+ "js-sys",
+ "libc",
+ "libloading",
+ "memfd",
+ "memmap2",
+ "serde",
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+ "thiserror 2.0.18",
+ "wasm-bindgen",
+ "wasm-bindgen-futures",
+ "web-sys",
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+
+[[package]]
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+checksum = "d07aa455c66ddfdbb51507537402b961e027846468954ef8d974bce65dff9eb0"
+dependencies = [
+ "serde",
+]
 
 [[package]]
 name = "subtle"
···
 ]
 
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+version = "0.27.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "eadc29d668c91fcc564941132e17b28a7ceb2f3ebf0b9dae3e03fd7a6748eb0d"
+dependencies = [
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+ "data-encoding",
+ "http",
+ "httparse",
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+ "sha1",
+ "thiserror 2.0.18",
+ "utf-8",
+]
+
+[[package]]
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···
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+ "rustls",
+ "rustls-pki-types",
+ "rustls-platform-verifier",
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+ "utf-8",
+ "webpki-roots",
+]
+
+[[package]]
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+version = "0.5.3"
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+checksum = "d81f9efa9df032be5934a46a068815a10a042b494b6a58cb0a1a97bb5467ed6f"
+dependencies = [
+ "base64 0.22.1",
+ "http",
+ "httparse",
+ "log",
+]
+
+[[package]]
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 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "bfa7760aed19e106de2c7c0b581b509f2f25d3dacaf737cb82ac61bc6d760b0e"
 dependencies = [
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+]
+
+[[package]]
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+checksum = "64f68998838dab65727c9b30465595c6f7c953313559371ca8bf31759b3680ad"
+dependencies = [
+ "pin-project",
+ "tracing",
+ "warnings-macro",
+]
+
+[[package]]
+name = "warnings-macro"
+version = "0.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "59195a1db0e95b920366d949ba5e0d3fc0e70b67c09be15ce5abb790106b0571"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
 ]
 
 [[package]]
···
  "markup5ever_rcdom",
  "serde_json",
  "url",
+]
+
+[[package]]
+name = "webpki-root-certs"
+version = "1.0.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "36a29fc0408b113f68cf32637857ab740edfafdf460c326cd2afaa2d84cc05dc"
+dependencies = [
+ "rustls-pki-types",
 ]
 
 [[package]]
···
 
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+version = "0.60.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f2f500e4d28234f72040990ec9d39e3a6b950f9f22d3dba18416c35882612bcb"
+dependencies = [
+ "windows-targets 0.53.5",
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+
+[[package]]
+name = "windows-sys"
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 source = "registry+https://github.com/rust-lang/crates.io-index"
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···
  "windows_aarch64_gnullvm 0.52.6",
  "windows_aarch64_msvc 0.52.6",
  "windows_i686_gnu 0.52.6",
- "windows_i686_gnullvm",
+ "windows_i686_gnullvm 0.52.6",
  "windows_i686_msvc 0.52.6",
  "windows_x86_64_gnu 0.52.6",
  "windows_x86_64_gnullvm 0.52.6",
···
 ]
 
 [[package]]
+name = "windows-targets"
+version = "0.53.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4945f9f551b88e0d65f3db0bc25c33b8acea4d9e41163edf90dcd0b19f9069f3"
+dependencies = [
+ "windows-link 0.2.1",
+ "windows_aarch64_gnullvm 0.53.1",
+ "windows_aarch64_msvc 0.53.1",
+ "windows_i686_gnu 0.53.1",
+ "windows_i686_gnullvm 0.53.1",
+ "windows_i686_msvc 0.53.1",
+ "windows_x86_64_gnu 0.53.1",
+ "windows_x86_64_gnullvm 0.53.1",
+ "windows_x86_64_msvc 0.53.1",
+]
+
+[[package]]
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 version = "0.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "32a4622180e7a0ec044bb555404c800bc9fd9ec262ec147edd5989ccd0c02cd3"
 
 [[package]]
+name = "windows_aarch64_gnullvm"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a9d8416fa8b42f5c947f8482c43e7d89e73a173cead56d044f6a56104a6d1b53"
+
+[[package]]
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 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
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 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "09ec2a7bb152e2252b53fa7803150007879548bc709c039df7627cabbd05d469"
+
+[[package]]
+name = "windows_aarch64_msvc"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b9d782e804c2f632e395708e99a94275910eb9100b2114651e04744e9b125006"
 
 [[package]]
 name = "windows_i686_gnu"
···
 checksum = "8e9b5ad5ab802e97eb8e295ac6720e509ee4c243f69d781394014ebfe8bbfa0b"
 
 [[package]]
+name = "windows_i686_gnu"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "960e6da069d81e09becb0ca57a65220ddff016ff2d6af6a223cf372a506593a3"
+
+[[package]]
 name = "windows_i686_gnullvm"
 version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0eee52d38c090b3caa76c563b86c3a4bd71ef1a819287c19d586d7334ae8ed66"
 
 [[package]]
+name = "windows_i686_gnullvm"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "fa7359d10048f68ab8b09fa71c3daccfb0e9b559aed648a8f95469c27057180c"
+
+[[package]]
 name = "windows_i686_msvc"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
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 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "240948bc05c5e7c6dabba28bf89d89ffce3e303022809e73deaefe4f6ec56c66"
+
+[[package]]
+name = "windows_i686_msvc"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1e7ac75179f18232fe9c285163565a57ef8d3c89254a30685b57d83a38d326c2"
 
 [[package]]
 name = "windows_x86_64_gnu"
···
 checksum = "147a5c80aabfbf0c7d901cb5895d1de30ef2907eb21fbbab29ca94c5b08b1a78"
 
 [[package]]
+name = "windows_x86_64_gnu"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9c3842cdd74a865a8066ab39c8a7a473c0778a3f29370b5fd6b4b9aa7df4a499"
+
+[[package]]
 name = "windows_x86_64_gnullvm"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 checksum = "24d5b23dc417412679681396f2b49f3de8c1473deb516bd34410872eff51ed0d"
 
 [[package]]
+name = "windows_x86_64_gnullvm"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0ffa179e2d07eee8ad8f57493436566c7cc30ac536a3379fdf008f47f6bb7ae1"
+
+[[package]]
 name = "windows_x86_64_msvc"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
···
 version = "0.52.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
+
+[[package]]
+name = "windows_x86_64_msvc"
+version = "0.53.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d6bbff5f0aada427a1e5a6da5f1f98158182f26556f345ac9e04d36d0ebed650"
 
 [[package]]
 name = "winit"

Cargo.toml

···
 edition = "2024"
 
 [dependencies]
-bevy = "0.18.1"
-jacquard = "0.11.0"
+bevy = { version = "0.18.1", features = ["hotpatching", "dynamic_linking", "dev", "http", "https"]}
+jacquard = { version = "0.12.0-beta.1", git = "https://tangled.org/nonbinary.computer/jacquard", branch = "bos-beta" }
+rand = "0.10.0"
+rand_chacha = "0.10.0"
+
+# Enable a small amount of optimization in the dev profile.
+[profile.dev]
+opt-level = 1
+
+# Enable a large amount of optimization in the dev profile for dependencies.
+[profile.dev.package."*"]
+opt-level = 3

assets/animation_graphs/Fox.animgraph.ron

···
+(
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+        nodes: [
+            (
+                node_type: Blend,
+                mask: 0,
+                weight: 1.0,
+            ),
+            (
+                node_type: Blend,
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+                weight: 0.5,
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+                mask: 0,
+                weight: 1.0,
+            ),
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+                node_type: Clip("models/animated/Fox.glb#Animation1"),
+                mask: 0,
+                weight: 1.0,
+            ),
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+                mask: 0,
+                weight: 1.0,
+            ),
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+        node_holes: [],
+        edge_property: directed,
+        edges: [
+            Some((0, 1, ())),
+            Some((0, 2, ())),
+            Some((1, 3, ())),
+            Some((1, 4, ())),
+        ],
+    ),
+    root: 0,
+    mask_groups: {},
+)

assets/branding/bevy_bird_dark.svg

···
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+           transform="translate(5.0092774e-5,-757.87625)"
+           sodipodi:nodetypes="cccccccccccczzzcscczscccsccccccccccccccc" />
+      </g>
+    </g>
+    <g
+       style="opacity:1;fill:#b2b2b2;fill-opacity:1;stroke-width:0.755906;stroke-miterlimit:4;stroke-dasharray:none"
+       id="g1051-1-1-8-8-4-9-4-0-4-6-4-7-6-6-0"
+       transform="matrix(-0.50509374,0.06754889,0.06754889,0.50509374,156.75523,55.243465)"
+       inkscape:export-filename="/home/carter/code/bevy/assets/bevy_logo_dark.png"
+       inkscape:export-xdpi="81.422768"
+       inkscape:export-ydpi="81.422768">
+      <g
+         style="fill:#b2b2b2;fill-opacity:1"
+         id="g1129-5-9-8-0-7-2-7-3-8-61-1-6-8"
+         transform="translate(-20.244579,-6.1209206)">
+        <g
+           style="fill:#b2b2b2;fill-opacity:1"
+           id="g1344-1-3-9-3-8-8-8-3-5-4-8"
+           transform="translate(61.54776,-5.6726683)">
+          <g
+             id="g1121-7-7-2-3-3-7-4-5-8-2-5-9-5"
+             style="fill:#b2b2b2;fill-opacity:1">
+            <g
+               id="g3006-4-5-0"
+               transform="matrix(-0.514626,0.06882369,0.06882369,0.514626,1184.3644,-811.9091)"
+               style="opacity:1;fill:#b2b2b2;fill-opacity:1">
+              <path
+                 inkscape:connector-curvature="0"
+                 id="path3008-7-0-9"
+                 style="color:#000000;font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:medium;line-height:normal;font-family:sans-serif;font-variant-ligatures:normal;font-variant-position:normal;font-variant-caps:normal;font-variant-numeric:normal;font-variant-alternates:normal;font-variant-east-asian:normal;font-feature-settings:normal;font-variation-settings:normal;text-indent:0;text-align:start;text-decoration:none;text-decoration-line:none;text-decoration-style:solid;text-decoration-color:#000000;letter-spacing:normal;word-spacing:normal;text-transform:none;writing-mode:lr-tb;direction:ltr;text-orientation:mixed;dominant-baseline:auto;baseline-shift:baseline;text-anchor:start;white-space:normal;shape-padding:0;shape-margin:0;inline-size:0;clip-rule:nonzero;display:inline;overflow:visible;visibility:visible;isolation:auto;mix-blend-mode:normal;color-interpolation:sRGB;color-interpolation-filters:linearRGB;solid-color:#000000;solid-opacity:1;vector-effect:none;fill:#b2b2b2;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:3.02362;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1;color-rendering:auto;image-rendering:auto;shape-rendering:auto;text-rendering:auto;enable-background:accumulate;stop-color:#000000;stop-opacity:1"
+                 d="m 2230.8945,2301.1738 c -1.9108,-0.039 -3.9117,0.162 -5.9785,0.6328 -0.1394,0.032 -0.2613,0.071 -0.3984,0.1036 -2.274,2.2481 -4.8127,4.5047 -7.5293,6.7168 0.8746,3.8597 2.1735,7.8829 4.4707,12.0019 3.9872,7.1495 7.2742,10.9657 9.2031,15.9258 1.9289,4.9601 2.2639,10.7945 0.4746,21.4238 -2.2183,13.178 -10.2404,27.1324 -22.959,37.4336 9.8717,-2.8792 18.2866,-8.1915 23.8575,-14.6269 6.0132,-6.9464 8.0191,-10.8762 8.7226,-14.836 0.7036,-3.9598 0.044,-8.2997 0.3242,-15.664 0.1805,-4.7447 1.1911,-8.8958 2.4766,-12.545 l 0.3086,-0.875 0.9219,-0.1211 c 8.2284,-1.0673 15.6654,-3.167 19.5097,-5.6484 -1.2349,-5.5522 -6.4807,-9.8603 -13.4277,-13.1348 l -0.6621,-0.3125 -0.166,-0.7129 c -2.2034,-9.4614 -9.5905,-15.5632 -19.1485,-15.7617 z m 4.7832,11.6856 a 4.8229105,4.9139092 17.729059 0 1 1.4473,0.2246 4.8229105,4.9139092 17.729059 0 1 3.0977,6.1484 4.8229105,4.9139092 17.729059 0 1 -6.0899,3.2129 4.8229105,4.9139092 17.729059 0 1 -3.0976,-6.1484 4.8229105,4.9139092 17.729059 0 1 4.6425,-3.4375 z"
+                 transform="translate(1.2499985e-4,-757.87627)" />
+            </g>
+          </g>
+        </g>
+      </g>
+    </g>
+  </g>
+</svg>

assets/cursors/kenney_crosshairPack/License.txt

···
+
+
+	Crosshair Pack
+
+	by Kenney Vleugels (Kenney.nl)
+
+			------------------------------
+
+	License (Creative Commons Zero, CC0)
+	http://creativecommons.org/publicdomain/zero/1.0/
+
+	You may use these assets in personal and commercial projects.
+	Credit (Kenney or www.kenney.nl) would be nice but is not mandatory.
+
+			------------------------------
+
+	Donate:   http://support.kenney.nl
+
+	Follow on Twitter for updates: @KenneyNL (www.twitter.com/kenneynl)

assets/data/asset.custom

···
+CustomAsset (
+    value: 42
+)

assets/data/asset_no_extension

···
+CustomAsset (
+    value: 13
+)

assets/environment_maps/info.txt

···
+The pisa_*.ktx2 files were generated from https://github.com/KhronosGroup/glTF-Sample-Environments/blob/master/pisa.hdr using the following tools and commands:
+- IBL environment map prefiltering to cubemaps: https://github.com/KhronosGroup/glTF-IBL-Sampler
+  - Diffuse: ./cli -inputPath pisa.hdr -outCubeMap pisa_diffuse.ktx2 -distribution Lambertian -cubeMapResolution 32
+  - Specular: ./cli -inputPath pisa.hdr -outCubeMap pisa_specular.ktx2 -distribution GGX -cubeMapResolution 512
+- Converting to rgb9e5 format with zstd 'supercompression': https://github.com/DGriffin91/bevy_mod_environment_map_tools
+  - cargo run --release -- --inputs pisa_diffuse.ktx2,pisa_specular.ktx2 --outputs pisa_diffuse_rgb9e5_zstd.ktx2,pisa_specular_rgb9e5_zstd.ktx2

assets/external/.gitignore

···
+*
+!.gitignore

assets/fonts/EBGaramond-LICENSE

···
+Copyright (c) 2010-2013 Georg Duffner (http://www.georgduffner.at)
+
+All "EB Garamond" Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+http://scripts.sil.org/OFL
+
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded, 
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting -- in part or in whole -- any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.

assets/fonts/FiraMono-LICENSE

···
+Digitized data copyright (c) 2012-2015, The Mozilla Foundation and Telefonica S.A.
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+http://scripts.sil.org/OFL
+
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded, 
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting -- in part or in whole -- any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.

assets/fonts/OFL.txt

···
+Copyright 2022 The Mona Sans Project Authors (https://github.com/github/mona-sans), with Reserved Font Name "Mona"
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at:
+https://openfontlicense.org
+
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide
+development of collaborative font projects, to support the font creation
+efforts of academic and linguistic communities, and to provide a free and
+open framework in which fonts may be shared and improved in partnership
+with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and
+redistributed freely as long as they are not sold by themselves. The
+fonts, including any derivative works, can be bundled, embedded, 
+redistributed and/or sold with any software provided that any reserved
+names are not used by derivative works. The fonts and derivatives,
+however, cannot be released under any other type of license. The
+requirement for fonts to remain under this license does not apply
+to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright
+Holder(s) under this license and clearly marked as such. This may
+include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the
+copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as
+distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting,
+or substituting -- in part or in whole -- any of the components of the
+Original Version, by changing formats or by porting the Font Software to a
+new environment.
+
+"Author" refers to any designer, engineer, programmer, technical
+writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of the Font Software, to use, study, copy, merge, embed, modify,
+redistribute, and sell modified and unmodified copies of the Font
+Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components,
+in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled,
+redistributed and/or sold with any software, provided that each copy
+contains the above copyright notice and this license. These can be
+included either as stand-alone text files, human-readable headers or
+in the appropriate machine-readable metadata fields within text or
+binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font
+Name(s) unless explicit written permission is granted by the corresponding
+Copyright Holder. This restriction only applies to the primary font name as
+presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
+Software shall not be used to promote, endorse or advertise any
+Modified Version, except to acknowledge the contribution(s) of the
+Copyright Holder(s) and the Author(s) or with their explicit written
+permission.
+
+5) The Font Software, modified or unmodified, in part or in whole,
+must be distributed entirely under this license, and must not be
+distributed under any other license. The requirement for fonts to
+remain under this license does not apply to any document created
+using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are
+not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
+OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
+COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
+DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
+OTHER DEALINGS IN THE FONT SOFTWARE.

assets/models/AnisotropyBarnLamp/AnisotropyBarnLamp.gltf

···
+{
+  "asset": {
+    "version": "2.0",
+    "generator": "3ds Max, Max2Babylon, Visual Studio Code, glTF Tools",
+    "copyright": "(c) 2023 Wayfair, model and textures by Eric Chadwick, CC BY 4.0."
+  },
+  "extensionsUsed": [
+    "KHR_materials_anisotropy",
+    "KHR_materials_clearcoat",
+    "KHR_materials_emissive_strength",
+    "KHR_materials_transmission",
+    "KHR_materials_volume"
+  ],
+  "scene": 0,
+  "scenes": [
+    {
+      "nodes": [
+        0,
+        1,
+        2
+      ]
+    }
+  ],
+  "nodes": [
+    {
+      "mesh": 0,
+      "name": "Lamp Metal"
+    },
+    {
+      "mesh": 1,
+      "name": "Lamp Filament"
+    },
+    {
+      "mesh": 2,
+      "name": "Lamp Glass"
+    }
+  ],
+  "meshes": [
+    {
+      "primitives": [
+        {
+          "attributes": {
+            "POSITION": 1,
+            "TANGENT": 2,
+            "NORMAL": 3,
+            "TEXCOORD_0": 4
+          },
+          "indices": 0,
+          "material": 0
+        }
+      ],
+      "name": "Lamp Metal"
+    },
+    {
+      "primitives": [
+        {
+          "attributes": {
+            "POSITION": 6,
+            "NORMAL": 7
+          },
+          "indices": 5,
+          "material": 1
+        }
+      ],
+      "name": "Lamp Filament"
+    },
+    {
+      "primitives": [
+        {
+          "attributes": {
+            "POSITION": 9,
+            "NORMAL": 10
+          },
+          "indices": 8,
+          "material": 2
+        }
+      ],
+      "name": "Lamp Glass"
+    }
+  ],
+  "accessors": [
+    {
+      "bufferView": 0,
+      "componentType": 5123,
+      "count": 25257,
+      "type": "SCALAR",
+      "name": "accessorIndices"
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+      "bufferView": 1,
+      "componentType": 5126,
+      "count": 6803,
+      "max": [
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+        -0.172301471,
+        -2.43595832E-06
+      ],
+      "type": "VEC3",
+      "name": "accessorPositions"
+    },
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assets/models/MixedLightingExample/MixedLightingExample.gltf

···
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assets/models/SimpleSkin/SimpleSkin.gltf

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assets/models/TonemappingTest/TonemappingTest.gltf

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+	]
+}

assets/models/barycentric/barycentric.gltf

···
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+      ]
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+          },
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+        }
+      ]
+    }
+  ]
+}

assets/models/cube/cube.gltf

···
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+    "asset" : {
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+        "version" : "2.0"
+    },
+    "scene" : 0,
+    "scenes" : [
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+            "nodes" : [
+                0
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+        }
+    ],
+    "nodes" : [
+        {
+            "mesh" : 0,
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+    ],
+    "materials" : [
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+            "emissiveFactor" : [
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+                0,
+                0
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+    ],
+    "meshes" : [
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+    ],
+    "buffers" : [
+        {
+            "byteLength" : 840,
+            "uri" : "cube.bin"
+        }
+    ]
+}

assets/models/ship/craft_speederD.gltf

···
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+  ],
+  "asset": {
+    "generator": "UniGLTF-1.27",
+    "version": "2.0"
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+  "buffers": [
+    {
+      "uri": "craft_speederD_data.bin",
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+  ],
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assets/models/sphere/sphere.gltf

···
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assets/models/terrain/Mountains.gltf

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assets/models/torus/torus.gltf

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"
+		}
+	]
+}

assets/scenes/load_scene_example.scn.ron

···
+(
+  resources: {
+    "scene::ResourceA": (
+      score: 1,
+    ),
+  },
+  entities: {
+    4294967297: (
+      components: {
+        "bevy_ecs::name::Name": "joe",
+        "bevy_transform::components::global_transform::GlobalTransform": ((1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0)),
+        "bevy_transform::components::transform::Transform": (
+          translation: (0.0, 0.0, 0.0),
+          rotation: (0.0, 0.0, 0.0, 1.0),
+          scale: (1.0, 1.0, 1.0),
+        ),
+        "scene::ComponentA": (
+          x: 1.0,
+          y: 2.0,
+        ),
+        "scene::ComponentB": (
+          value: "hello",
+        ),
+        "bevy_scene::components::SceneRoot": (Path("models/FlightHelmet/FlightHelmet.gltf#Scene0")),
+      },
+    ),
+    4294967298: (
+      components: {
+        "scene::ComponentA": (
+          x: 3.0,
+          y: 4.0,
+        ),
+      },
+    ),
+  },
+)

assets/shaders/animate_shader.wgsl

···
+// The time since startup data is in the globals binding which is part of the mesh_view_bindings import
+#import bevy_pbr::{
+    mesh_view_bindings::globals,
+    forward_io::VertexOutput,
+}
+
+fn oklab_to_linear_srgb(c: vec3<f32>) -> vec3<f32> {
+    let L = c.x;
+    let a = c.y;
+    let b = c.z;
+
+    let l_ = L + 0.3963377774 * a + 0.2158037573 * b;
+    let m_ = L - 0.1055613458 * a - 0.0638541728 * b;
+    let s_ = L - 0.0894841775 * a - 1.2914855480 * b;
+
+    let l = l_ * l_ * l_;
+    let m = m_ * m_ * m_;
+    let s = s_ * s_ * s_;
+
+    return vec3<f32>(
+        4.0767416621 * l - 3.3077115913 * m + 0.2309699292 * s,
+        -1.2684380046 * l + 2.6097574011 * m - 0.3413193965 * s,
+        -0.0041960863 * l - 0.7034186147 * m + 1.7076147010 * s,
+    );
+}
+
+@fragment
+fn fragment(in: VertexOutput) -> @location(0) vec4<f32> {
+    let speed = 2.0;
+    // The globals binding contains various global values like time
+    // which is the time since startup in seconds
+    let t_1 = sin(globals.time * speed) * 0.5 + 0.5;
+    let t_2 = cos(globals.time * speed);
+
+    let distance_to_center = distance(in.uv, vec2<f32>(0.5)) * 1.4;
+
+    // blending is done in a perceptual color space: https://bottosson.github.io/posts/oklab/
+    let red = vec3<f32>(0.627955, 0.224863, 0.125846);
+    let green = vec3<f32>(0.86644, -0.233887, 0.179498);
+    let blue = vec3<f32>(0.701674, 0.274566, -0.169156);
+    let white = vec3<f32>(1.0, 0.0, 0.0);
+    let mixed = mix(mix(red, blue, t_1), mix(green, white, t_2), distance_to_center);
+
+    return vec4<f32>(oklab_to_linear_srgb(mixed), 1.0);
+}

assets/shaders/array_texture.wgsl

···
+#import bevy_pbr::{
+    forward_io::VertexOutput,
+    mesh_functions,
+    mesh_view_bindings::view,
+    pbr_types::{STANDARD_MATERIAL_FLAGS_DOUBLE_SIDED_BIT, PbrInput, pbr_input_new},
+    pbr_functions as fns,
+    pbr_bindings,
+}
+#import bevy_core_pipeline::tonemapping::tone_mapping
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var my_array_texture: texture_2d_array<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var my_array_texture_sampler: sampler;
+
+@fragment
+fn fragment(
+    @builtin(front_facing) is_front: bool,
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    // Determine which layer of the array texture to sample from based on the
+    // mesh tag which originates from the MeshTag component on the entity.
+    let layer = mesh_functions::get_tag(mesh.instance_index);
+
+    // Prepare a 'processed' StandardMaterial by sampling all textures to resolve
+    // the material members
+    var pbr_input: PbrInput = pbr_input_new();
+
+    pbr_input.material.base_color = textureSample(my_array_texture, my_array_texture_sampler, mesh.uv, layer);
+#ifdef VERTEX_COLORS
+    pbr_input.material.base_color = pbr_input.material.base_color * mesh.color;
+#endif
+
+    let double_sided = (pbr_input.material.flags & STANDARD_MATERIAL_FLAGS_DOUBLE_SIDED_BIT) != 0u;
+
+    pbr_input.frag_coord = mesh.position;
+    pbr_input.world_position = mesh.world_position;
+    pbr_input.world_normal = fns::prepare_world_normal(
+        mesh.world_normal,
+        double_sided,
+        is_front,
+    );
+
+    pbr_input.is_orthographic = view.clip_from_view[3].w == 1.0;
+
+    pbr_input.N = normalize(pbr_input.world_normal);
+
+#ifdef VERTEX_TANGENTS
+    let Nt = textureSampleBias(pbr_bindings::normal_map_texture, pbr_bindings::normal_map_sampler, mesh.uv, view.mip_bias).rgb;
+    let TBN = fns::calculate_tbn_mikktspace(mesh.world_normal, mesh.world_tangent);
+    pbr_input.N = fns::apply_normal_mapping(
+        pbr_input.material.flags,
+        TBN,
+        double_sided,
+        is_front,
+        Nt,
+    );
+#endif
+
+    pbr_input.V = fns::calculate_view(mesh.world_position, pbr_input.is_orthographic);
+
+    return tone_mapping(fns::apply_pbr_lighting(pbr_input), view.color_grading);
+}

assets/shaders/automatic_instancing.wgsl

···
+#import bevy_pbr::{
+    mesh_functions,
+    view_transformations::position_world_to_clip
+}
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var texture_sampler: sampler;
+
+struct Vertex {
+    @builtin(instance_index) instance_index: u32,
+    @location(0) position: vec3<f32>,
+};
+
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) world_position: vec4<f32>,
+    @location(1) color: vec4<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    var out: VertexOutput;
+
+    // Lookup the tag for the given mesh
+    let tag = mesh_functions::get_tag(vertex.instance_index);
+    var world_from_local = mesh_functions::get_world_from_local(vertex.instance_index);
+    out.world_position = mesh_functions::mesh_position_local_to_world(world_from_local, vec4(vertex.position, 1.0));
+    out.clip_position = position_world_to_clip(out.world_position.xyz);
+
+    let tex_dim = textureDimensions(texture);
+    // Find the texel coordinate as derived from the tag
+    let texel_coord = vec2<u32>(tag % tex_dim.x, tag / tex_dim.x);
+
+    out.color = textureLoad(texture, texel_coord, 0);
+    return out;
+}
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    return mesh.color;
+}

assets/shaders/bindless_material.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+#import bevy_pbr::mesh_bindings::mesh
+#import bevy_render::bindless::{bindless_samplers_filtering, bindless_textures_2d}
+
+struct Color {
+    base_color: vec4<f32>,
+}
+
+// This structure is a mapping from bindless index to the index in the
+// appropriate slab
+struct MaterialBindings {
+    material: u32,              // 0
+    color_texture: u32,         // 1
+    color_texture_sampler: u32, // 2
+}
+
+#ifdef BINDLESS
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<storage> materials: array<MaterialBindings>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(10) var<storage> material_color: binding_array<Color>;
+#else   // BINDLESS
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> material_color: Color;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var material_color_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(2) var material_color_sampler: sampler;
+#endif  // BINDLESS
+
+@fragment
+fn fragment(in: VertexOutput) -> @location(0) vec4<f32> {
+#ifdef BINDLESS
+    let slot = mesh[in.instance_index].material_and_lightmap_bind_group_slot & 0xffffu;
+    let base_color = material_color[materials[slot].material].base_color;
+#else   // BINDLESS
+    let base_color = material_color.base_color;
+#endif  // BINDLESS
+
+    return base_color * textureSampleLevel(
+#ifdef BINDLESS
+        bindless_textures_2d[materials[slot].color_texture],
+        bindless_samplers_filtering[materials[slot].color_texture_sampler],
+#else   // BINDLESS
+        material_color_texture,
+        material_color_sampler,
+#endif  // BINDLESS
+        in.uv,
+        0.0
+    );
+}

assets/shaders/compute_mesh.wgsl

···
+// This shader is used for the compute_mesh example
+// The actual work it does is not important for the example and
+// has been hardcoded to return a cube mesh
+
+// `vertex_start` is the starting offset of the mesh data in the *vertex_data* storage buffer
+// `index_start` is the starting offset of the index data in the *index_data* storage buffer
+struct DataRanges {
+    vertex_start: u32,
+    vertex_end: u32,
+    index_start: u32,
+    index_end: u32,
+}
+
+@group(0) @binding(0) var<uniform> data_range: DataRanges;
+@group(0) @binding(1) var<storage, read_write> vertex_data: array<f32>;
+@group(0) @binding(2) var<storage, read_write> index_data: array<u32>;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+    // this loop is iterating over the full list of (position, normal, uv)
+    // data what we have in `vertices`.
+    // `192` is used because arrayLength on const arrays doesn't work
+    for (var i = 0u; i < 192; i++) {
+        // The vertex_data buffer is bigger than just the mesh we're
+        // processing because Bevy stores meshes in the mesh_allocator
+        // which allocates slabs that each can contain multiple meshes.
+        // This buffer is one slab, and data_range.vertex_start is the
+        // starting offset for the mesh we care about.
+        // So the 0 starting value in the for loop is added to 
+        // data_range.vertex_start which means we start writing at the
+        // correct offset.
+        //
+        // The "end" of the available space to write into is known by us
+        // ahead of time in this example, so we know this has enough space,
+        // but you may wish to also check to make sure you are not writing
+        // past the end of the range *because you should not write past the
+        // end of the range ever*. Doing this can overwrite a different
+        // mesh's data.
+        vertex_data[i + data_range.vertex_start] = vertices[i];
+    }
+    // `36` is the length of the `indices` array
+    for (var i = 0u; i < 36; i++) {
+        // This is doing the same as the vertex_data offset described above
+        index_data[i + data_range.index_start] = u32(indices[i]);
+    }
+}
+
+// hardcoded compute shader data.
+// half_size is half the size of the cube
+const half_size = vec3(1.5);
+const min = -half_size;
+const max = half_size;
+
+// Suppose Y-up right hand, and camera look from +Z to -Z
+const vertices = array(
+    // xyz, normal.xyz, uv.xy
+    // Front
+    min.x, min.y, max.z, 0.0, 0.0, 1.0, 0.0, 0.0,
+    max.x, min.y, max.z, 0.0, 0.0, 1.0, 1.0, 0.0,
+    max.x, max.y, max.z, 0.0, 0.0, 1.0, 1.0, 1.0,
+    min.x, max.y, max.z, 0.0, 0.0, 1.0, 0.0, 1.0,
+    // Back
+    min.x, max.y, min.z, 0.0, 0.0, -1.0, 1.0, 0.0,
+    max.x, max.y, min.z, 0.0, 0.0, -1.0, 0.0, 0.0,
+    max.x, min.y, min.z, 0.0, 0.0, -1.0, 0.0, 1.0,
+    min.x, min.y, min.z, 0.0, 0.0, -1.0, 1.0, 1.0,
+    // Right
+    max.x, min.y, min.z, 1.0, 0.0, 0.0, 0.0, 0.0,
+    max.x, max.y, min.z, 1.0, 0.0, 0.0, 1.0, 0.0,
+    max.x, max.y, max.z, 1.0, 0.0, 0.0, 1.0, 1.0,
+    max.x, min.y, max.z, 1.0, 0.0, 0.0, 0.0, 1.0,
+    // Left
+    min.x, min.y, max.z, -1.0, 0.0, 0.0, 1.0, 0.0,
+    min.x, max.y, max.z, -1.0, 0.0, 0.0, 0.0, 0.0,
+    min.x, max.y, min.z, -1.0, 0.0, 0.0, 0.0, 1.0,
+    min.x, min.y, min.z, -1.0, 0.0, 0.0, 1.0, 1.0,
+    // Top
+    max.x, max.y, min.z, 0.0, 1.0, 0.0, 1.0, 0.0,
+    min.x, max.y, min.z, 0.0, 1.0, 0.0, 0.0, 0.0,
+    min.x, max.y, max.z, 0.0, 1.0, 0.0, 0.0, 1.0,
+    max.x, max.y, max.z, 0.0, 1.0, 0.0, 1.0, 1.0,
+    // Bottom
+    max.x, min.y, max.z, 0.0, -1.0, 0.0, 0.0, 0.0,
+    min.x, min.y, max.z, 0.0, -1.0, 0.0, 1.0, 0.0,
+    min.x, min.y, min.z, 0.0, -1.0, 0.0, 1.0, 1.0,
+    max.x, min.y, min.z, 0.0, -1.0, 0.0, 0.0, 1.0
+);
+
+const indices = array(
+    0, 1, 2, 2, 3, 0, // front
+    4, 5, 6, 6, 7, 4, // back
+    8, 9, 10, 10, 11, 8, // right
+    12, 13, 14, 14, 15, 12, // left
+    16, 17, 18, 18, 19, 16, // top
+    20, 21, 22, 22, 23, 20, // bottom
+);

assets/shaders/cubemap_unlit.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+#ifdef CUBEMAP_ARRAY
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var base_color_texture: texture_cube_array<f32>;
+#else
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var base_color_texture: texture_cube<f32>;
+#endif
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var base_color_sampler: sampler;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    let fragment_position_view_lh = mesh.world_position.xyz * vec3<f32>(1.0, 1.0, -1.0);
+    return textureSample(
+        base_color_texture,
+        base_color_sampler,
+        fragment_position_view_lh
+    );
+}

assets/shaders/custom_clustered_decal.wgsl

···
+// This shader, a part of the `clustered_decals` example, shows how to use the
+// decal `tag` field to apply arbitrary decal effects.
+
+#import bevy_pbr::{
+    clustered_forward,
+    decal::clustered,
+    forward_io::{VertexOutput, FragmentOutput},
+    mesh_view_bindings,
+    pbr_fragment::pbr_input_from_standard_material,
+    pbr_functions::{alpha_discard, apply_pbr_lighting, main_pass_post_lighting_processing},
+}
+
+@fragment
+fn fragment(
+    in: VertexOutput,
+    @builtin(front_facing) is_front: bool,
+) -> FragmentOutput {
+    // Generate a `PbrInput` struct from the `StandardMaterial` bindings.
+    var pbr_input = pbr_input_from_standard_material(in, is_front);
+
+    // Alpha discard.
+    pbr_input.material.base_color = alpha_discard(pbr_input.material, pbr_input.material.base_color);
+
+    // Apply the normal decals.
+    clustered::apply_decals(&pbr_input);
+
+    // Here we tint the color based on the tag of the decal.
+    // We could optionally do other things, such as adjust the normal based on a normal map.
+    let view_z = clustered::get_view_z(in.world_position.xyz);
+    let is_orthographic = clustered::view_is_orthographic();
+    let cluster_index =
+        clustered_forward::view_fragment_cluster_index(in.position.xy, view_z, is_orthographic);
+    var clusterable_object_index_ranges =
+        clustered_forward::unpack_clusterable_object_index_ranges(cluster_index);
+    var decal_iterator = clustered::clustered_decal_iterator_new(
+        in.world_position.xyz,
+        &clusterable_object_index_ranges
+    );
+    while (clustered::clustered_decal_iterator_next(&decal_iterator)) {
+        var decal_base_color = textureSampleLevel(
+            mesh_view_bindings::clustered_decal_textures[decal_iterator.base_color_texture_index],
+            mesh_view_bindings::clustered_decal_sampler,
+            decal_iterator.uv,
+            0.0
+        );
+
+        switch (decal_iterator.tag) {
+            case 1u: {
+                // Tint with red.
+                decal_base_color = vec4(
+                    mix(pbr_input.material.base_color.rgb, vec3(1.0, 0.0, 0.0), 0.5),
+                    decal_base_color.a,
+                );
+            }
+            case 2u: {
+                // Tint with blue.
+                decal_base_color = vec4(
+                    mix(pbr_input.material.base_color.rgb, vec3(0.0, 0.0, 1.0), 0.5),
+                    decal_base_color.a,
+                );
+            }
+            default: {}
+        }
+
+        pbr_input.material.base_color = vec4(
+            mix(pbr_input.material.base_color.rgb, decal_base_color.rgb, decal_base_color.a),
+            pbr_input.material.base_color.a + decal_base_color.a
+        );
+    }
+
+    // Apply lighting.
+    var out: FragmentOutput;
+    out.color = apply_pbr_lighting(pbr_input);
+
+    // Apply in-shader post processing (fog, alpha-premultiply, and also
+    // tonemapping, debanding if the camera is non-HDR). Note this does not
+    // include fullscreen postprocessing effects like bloom.
+    out.color = main_pass_post_lighting_processing(pbr_input, out.color);
+
+    return out;
+}
+

assets/shaders/custom_gltf_2d.wgsl

···
+#import bevy_sprite::{
+    mesh2d_view_bindings::globals,
+    mesh2d_functions::{get_world_from_local, mesh2d_position_local_to_clip},
+}
+
+struct Vertex {
+    @builtin(instance_index) instance_index: u32,
+    @location(0) position: vec3<f32>,
+    @location(1) color: vec4<f32>,
+    @location(2) barycentric: vec3<f32>,
+};
+
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) color: vec4<f32>,
+    @location(1) barycentric: vec3<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    var out: VertexOutput;
+    let world_from_local = get_world_from_local(vertex.instance_index);
+    out.clip_position = mesh2d_position_local_to_clip(world_from_local, vec4<f32>(vertex.position, 1.0));
+    out.color = vertex.color;
+    out.barycentric = vertex.barycentric;
+    return out;
+}
+
+struct FragmentInput {
+    @location(0) color: vec4<f32>,
+    @location(1) barycentric: vec3<f32>,
+};
+
+@fragment
+fn fragment(input: FragmentInput) -> @location(0) vec4<f32> {
+    let d = min(input.barycentric.x, min(input.barycentric.y, input.barycentric.z));
+    let t = 0.05 * (0.85 + sin(5.0 * globals.time));
+    return mix(vec4(1.0,1.0,1.0,1.0), input.color, smoothstep(t, t+0.01, d));
+}

assets/shaders/custom_material.frag

···
+#version 450
+layout(location = 0) in vec2 v_Uv;
+
+layout(location = 0) out vec4 o_Target;
+
+layout(set = 3, binding = 0) uniform vec4 CustomMaterial_color;
+
+layout(set = 3, binding = 1) uniform texture2D CustomMaterial_texture;
+layout(set = 3, binding = 2) uniform sampler CustomMaterial_sampler;
+
+// wgsl modules can be imported and used in glsl
+// FIXME - this doesn't work any more ...
+// #import bevy_pbr::pbr_functions as PbrFuncs
+
+void main() {
+    // o_Target = PbrFuncs::tone_mapping(Color * texture(sampler2D(CustomMaterial_texture,CustomMaterial_sampler), v_Uv));
+    o_Target = CustomMaterial_color * texture(sampler2D(CustomMaterial_texture,CustomMaterial_sampler), v_Uv);
+}

assets/shaders/custom_material.vert

···
+#version 450
+
+layout(location = 0) in vec3 Vertex_Position;
+layout(location = 1) in vec3 Vertex_Normal;
+layout(location = 2) in vec2 Vertex_Uv;
+
+layout(location = 0) out vec2 v_Uv;
+
+layout(set = 0, binding = 0) uniform CameraViewProj {
+    mat4 clip_from_world;
+    // Other attributes exist that can be described here.
+    // See full definition in: crates/bevy_render/src/view/view.wgsl
+    // Attributes added here must be in the same order as they are defined
+    // in view.wgsl, and they must be contiguous starting from the top to
+    // ensure they have the same layout.
+    //
+    // Needing to maintain this mapping yourself is one of the harder parts of using
+    // GLSL with Bevy. WGSL provides a much better user experience! 
+} camera_view;
+
+struct Mesh {
+    mat3x4 Model;
+    mat4 InverseTransposeModel;
+    uint flags;
+};
+
+#ifdef PER_OBJECT_BUFFER_BATCH_SIZE
+layout(set = 2, binding = 0) uniform Mesh Meshes[#{PER_OBJECT_BUFFER_BATCH_SIZE}];
+#else
+layout(set = 2, binding = 0) readonly buffer _Meshes {
+    Mesh Meshes[];
+};
+#endif // PER_OBJECT_BUFFER_BATCH_SIZE
+
+mat4 affine_to_square(mat3x4 affine) {
+    return transpose(mat4(
+        affine[0],
+        affine[1],
+        affine[2],
+        vec4(0.0, 0.0, 0.0, 1.0)
+    ));
+}
+
+void main() {
+    v_Uv = Vertex_Uv;
+    gl_Position = camera_view.clip_from_world
+        * affine_to_square(Meshes[gl_InstanceIndex].Model)
+        * vec4(Vertex_Position, 1.0);
+}

assets/shaders/custom_material.wesl

···
+import super::util::make_polka_dots;
+
+struct VertexOutput {
+    @builtin(position) position: vec4<f32>,
+    @location(2) uv: vec2<f32>,
+}
+
+struct CustomMaterial {
+    // Needed for 16 byte alignment on WebGL2
+    time: vec4<f32>,
+}
+
+@group(3) @binding(0) var<uniform> material: CustomMaterial;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    return make_polka_dots(mesh.uv, material.time.x);
+}

assets/shaders/custom_material.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+// we can import items from shader modules in the assets folder with a quoted path
+#import "shaders/custom_material_import.wgsl"::COLOR_MULTIPLIER
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> material_color: vec4<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var material_color_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(2) var material_color_sampler: sampler;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    return material_color * textureSample(material_color_texture, material_color_sampler, mesh.uv) * COLOR_MULTIPLIER;
+}

assets/shaders/custom_material_2d.wgsl

···
+#import bevy_sprite::mesh2d_vertex_output::VertexOutput
+// we can import items from shader modules in the assets folder with a quoted path
+#import "shaders/custom_material_import.wgsl"::COLOR_MULTIPLIER
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> material_color: vec4<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var base_color_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(2) var base_color_sampler: sampler;
+
+@fragment
+fn fragment(mesh: VertexOutput) -> @location(0) vec4<f32> {
+    return material_color * textureSample(base_color_texture, base_color_sampler, mesh.uv) * COLOR_MULTIPLIER;
+}

assets/shaders/custom_material_import.wgsl

···
+// this is made available to the importing module
+const COLOR_MULTIPLIER: vec4<f32> = vec4<f32>(1.0, 1.0, 1.0, 0.5);

assets/shaders/custom_material_screenspace_texture.wgsl

···
+#import bevy_pbr::{
+    mesh_view_bindings::view,
+    forward_io::VertexOutput,
+    utils::coords_to_viewport_uv,
+}
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var texture_sampler: sampler;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    let viewport_uv = coords_to_viewport_uv(mesh.position.xy, view.viewport);
+    let color = textureSample(texture, texture_sampler, viewport_uv);
+    return color;
+}

assets/shaders/custom_phase_item.wgsl

···
+// `custom_phase_item.wgsl`
+//
+// This shader goes with the `custom_phase_item` example. It demonstrates how to
+// enqueue custom rendering logic in a `RenderPhase`.
+
+// The GPU-side vertex structure.
+struct Vertex {
+    // The world-space position of the vertex.
+    @location(0) position: vec3<f32>,
+    // The color of the vertex.
+    @location(1) color: vec3<f32>,
+};
+
+// Information passed from the vertex shader to the fragment shader.
+struct VertexOutput {
+    // The clip-space position of the vertex.
+    @builtin(position) clip_position: vec4<f32>,
+    // The color of the vertex.
+    @location(0) color: vec3<f32>,
+};
+
+// The vertex shader entry point.
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    // Use an orthographic projection.
+    var vertex_output: VertexOutput;
+    vertex_output.clip_position = vec4(vertex.position.xyz, 1.0);
+    vertex_output.color = vertex.color;
+    return vertex_output;
+}
+
+// The fragment shader entry point.
+@fragment
+fn fragment(vertex_output: VertexOutput) -> @location(0) vec4<f32> {
+    return vec4(vertex_output.color, 1.0);
+}

assets/shaders/custom_stencil.wgsl

···
+//! A shader showing how to use the vertex position data to output the 
+//! stencil in the right position
+
+// First we import everything we need from bevy_pbr
+// A 2d shader would be vevry similar but import from bevy_sprite instead
+#import bevy_pbr::{
+    mesh_functions,
+    view_transformations::position_world_to_clip
+}
+
+struct Vertex {
+    // This is needed if you are using batching and/or gpu preprocessing
+    // It's a built in so you don't need to define it in the vertex layout
+    @builtin(instance_index) instance_index: u32,
+    // Like we defined for the vertex layout
+    // position is at location 0
+    @location(0) position: vec3<f32>,
+};
+
+// This is the output of the vertex shader and we also use it as the input for the fragment shader
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) world_position: vec4<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    var out: VertexOutput;
+    // This is how bevy computes the world position
+    // The vertex.instance_index is very important. Especially if you are using batching and gpu preprocessing
+    var world_from_local = mesh_functions::get_world_from_local(vertex.instance_index);
+    out.world_position = mesh_functions::mesh_position_local_to_world(world_from_local, vec4(vertex.position, 1.0));
+    out.clip_position = position_world_to_clip(out.world_position.xyz);
+    return out;
+}
+
+@fragment
+fn fragment(in: VertexOutput) -> @location(0) vec4<f32> {
+    // Output a red color to represent the stencil of the mesh
+    return vec4(1.0, 0.0, 0.0, 1.0);
+}

assets/shaders/custom_ui_material.wgsl

···
+// Draws a progress bar with properties defined in CustomUiMaterial
+#import bevy_ui::ui_vertex_output::UiVertexOutput
+
+@group(1) @binding(0) var<uniform> color: vec4<f32>;
+@group(1) @binding(1) var<uniform> slider: vec4<f32>;
+@group(1) @binding(2) var material_color_texture: texture_2d<f32>;
+@group(1) @binding(3) var material_color_sampler: sampler;
+@group(1) @binding(4) var<uniform> border_color: vec4<f32>;
+
+
+@fragment
+fn fragment(in: UiVertexOutput) -> @location(0) vec4<f32> {
+    let output_color = textureSample(material_color_texture, material_color_sampler, in.uv) * color;
+
+    // half size of the UI node
+    let half_size = 0.5 * in.size;
+
+    // position relative to the center of the UI node
+    let p = in.uv * in.size - half_size;
+
+    // thickness of the border closest to the current position
+    let b = vec2(
+        select(in.border_widths.x, in.border_widths.z, 0. < p.x),
+        select(in.border_widths.y, in.border_widths.w, 0. < p.y)
+    );
+
+    // select radius for the nearest corner
+    let rs = select(in.border_radius.xy, in.border_radius.wz, 0.0 < p.y);
+    let radius = select(rs.x, rs.y, 0.0 < p.x);
+
+    // distance along each axis from the corner
+    let d = half_size - abs(p);
+
+    // if the distance to the edge from the current position on any axis 
+    // is less than the border width on that axis then the position is within 
+    // the border and we return the border color
+    if d.x < b.x || d.y < b.y {
+        // select radius for the nearest corner
+        let rs = select(in.border_radius.xy, in.border_radius.wz, 0.0 < p.y);
+        let radius = select(rs.x, rs.y, 0.0 < p.x);
+
+        // determine if the point is inside the curved corner and return the corresponding color
+        let q = radius - d;
+        if radius < min(max(q.x, q.y), 0.0) + length(vec2(max(q.x, 0.0), max(q.y, 0.0))) {
+            return vec4(0.0);
+        } else {
+            return border_color;
+        }
+    }
+
+    // sample the texture at this position if it's to the left of the slider value
+    // otherwise return a fully transparent color
+    if in.uv.x < slider.x {
+        let output_color = textureSample(material_color_texture, material_color_sampler, in.uv) * color;
+        return output_color;
+    } else {
+        return vec4(0.0);
+    }
+}

assets/shaders/custom_vertex_attribute.wgsl

···
+// For 2d replace `bevy_pbr::mesh_functions` with `bevy_sprite::mesh2d_functions`
+// and `mesh_position_local_to_clip` with `mesh2d_position_local_to_clip`.
+#import bevy_pbr::mesh_functions::{get_world_from_local, mesh_position_local_to_clip}
+
+struct CustomMaterial {
+    color: vec4<f32>,
+};
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> material: CustomMaterial;
+
+struct Vertex {
+    @builtin(instance_index) instance_index: u32,
+    @location(0) position: vec3<f32>,
+    @location(1) blend_color: vec4<f32>,
+};
+
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) blend_color: vec4<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    var out: VertexOutput;
+    out.clip_position = mesh_position_local_to_clip(
+        get_world_from_local(vertex.instance_index),
+        vec4<f32>(vertex.position, 1.0),
+    );
+    out.blend_color = vertex.blend_color;
+    return out;
+}
+
+struct FragmentInput {
+    @location(0) blend_color: vec4<f32>,
+};
+
+@fragment
+fn fragment(input: FragmentInput) -> @location(0) vec4<f32> {
+    return material.color * input.blend_color;
+}

assets/shaders/extended_material.wgsl

···
+#import bevy_pbr::{
+    pbr_fragment::pbr_input_from_standard_material,
+    pbr_functions::alpha_discard,
+}
+
+#ifdef PREPASS_PIPELINE
+#import bevy_pbr::{
+    prepass_io::{VertexOutput, FragmentOutput},
+    pbr_deferred_functions::deferred_output,
+}
+#else
+#import bevy_pbr::{
+    forward_io::{VertexOutput, FragmentOutput},
+    pbr_functions::{apply_pbr_lighting, main_pass_post_lighting_processing},
+}
+#endif
+
+struct MyExtendedMaterial {
+    quantize_steps: u32,
+#ifdef SIXTEEN_BYTE_ALIGNMENT
+    // Web examples WebGL2 support: structs must be 16 byte aligned.
+    _webgl2_padding_8b: u32,
+    _webgl2_padding_12b: u32,
+    _webgl2_padding_16b: u32,
+#endif
+}
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(100)
+var<uniform> my_extended_material: MyExtendedMaterial;
+
+@fragment
+fn fragment(
+    in: VertexOutput,
+    @builtin(front_facing) is_front: bool,
+) -> FragmentOutput {
+    // generate a PbrInput struct from the StandardMaterial bindings
+    var pbr_input = pbr_input_from_standard_material(in, is_front);
+
+    // we can optionally modify the input before lighting and alpha_discard is applied
+    pbr_input.material.base_color.b = pbr_input.material.base_color.r;
+
+    // alpha discard
+    pbr_input.material.base_color = alpha_discard(pbr_input.material, pbr_input.material.base_color);
+
+#ifdef PREPASS_PIPELINE
+    // in deferred mode we can't modify anything after that, as lighting is run in a separate fullscreen shader.
+    let out = deferred_output(in, pbr_input);
+#else
+    var out: FragmentOutput;
+    // apply lighting
+    out.color = apply_pbr_lighting(pbr_input);
+
+    // we can optionally modify the lit color before post-processing is applied
+    out.color = vec4<f32>(vec4<u32>(out.color * f32(my_extended_material.quantize_steps))) / f32(my_extended_material.quantize_steps);
+
+    // apply in-shader post processing (fog, alpha-premultiply, and also tonemapping, debanding if the camera is non-hdr)
+    // note this does not include fullscreen postprocessing effects like bloom.
+    out.color = main_pass_post_lighting_processing(pbr_input, out.color);
+
+    // we can optionally modify the final result here
+    out.color = out.color * 2.0;
+#endif
+
+    return out;
+}

assets/shaders/extended_material_bindless.wgsl

···
+// The shader that goes with `extended_material_bindless.rs`.
+//
+// This code demonstrates how to write shaders that are compatible with both
+// bindless and non-bindless mode. See the `#ifdef BINDLESS` blocks.
+
+#import bevy_pbr::{
+    forward_io::{FragmentOutput, VertexOutput},
+    mesh_bindings::mesh,
+    pbr_fragment::pbr_input_from_standard_material,
+    pbr_functions::{apply_pbr_lighting, main_pass_post_lighting_processing},
+}
+#import bevy_render::bindless::{bindless_samplers_filtering, bindless_textures_2d}
+
+#ifdef BINDLESS
+#import bevy_pbr::pbr_bindings::{material_array, material_indices}
+#else   // BINDLESS
+#import bevy_pbr::pbr_bindings::material
+#endif  // BINDLESS
+
+// Stores the indices of the bindless resources in the bindless resource arrays,
+// for the `ExampleBindlessExtension` fields.
+struct ExampleBindlessExtendedMaterialIndices {
+    // The index of the `ExampleBindlessExtendedMaterial` data in
+    // `example_extended_material`.
+    material: u32,
+    // The index of the texture we're going to modulate the base color with in
+    // the `bindless_textures_2d` array.
+    modulate_texture: u32,
+    // The index of the sampler we're going to sample the modulated texture with
+    // in the `bindless_samplers_filtering` array.
+    modulate_texture_sampler: u32,
+}
+
+// Plain data associated with this example material.
+struct ExampleBindlessExtendedMaterial {
+    // The color that we multiply the base color, base color texture, and
+    // modulated texture with.
+    modulate_color: vec4<f32>,
+}
+
+#ifdef BINDLESS
+
+// The indices of the bindless resources in the bindless resource arrays, for
+// the `ExampleBindlessExtension` fields.
+@group(#{MATERIAL_BIND_GROUP}) @binding(100) var<storage> example_extended_material_indices:
+    array<ExampleBindlessExtendedMaterialIndices>;
+// An array that holds the `ExampleBindlessExtendedMaterial` plain old data,
+// indexed by `ExampleBindlessExtendedMaterialIndices.material`.
+@group(#{MATERIAL_BIND_GROUP}) @binding(101) var<storage> example_extended_material:
+    array<ExampleBindlessExtendedMaterial>;
+
+#else   // BINDLESS
+
+// In non-bindless mode, we simply use a uniform for the plain old data.
+@group(#{MATERIAL_BIND_GROUP}) @binding(50) var<uniform> example_extended_material: ExampleBindlessExtendedMaterial;
+@group(#{MATERIAL_BIND_GROUP}) @binding(51) var modulate_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(52) var modulate_sampler: sampler;
+
+#endif  // BINDLESS
+
+@fragment
+fn fragment(
+    in: VertexOutput,
+    @builtin(front_facing) is_front: bool,
+) -> FragmentOutput {
+#ifdef BINDLESS
+    // Fetch the material slot. We'll use this in turn to fetch the bindless
+    // indices from `example_extended_material_indices`.
+    let slot = mesh[in.instance_index].material_and_lightmap_bind_group_slot & 0xffffu;
+#endif  // BINDLESS
+
+    // Generate a `PbrInput` struct from the `StandardMaterial` bindings.
+    var pbr_input = pbr_input_from_standard_material(in, is_front);
+
+    // Calculate the UV for the texture we're about to sample.
+#ifdef BINDLESS
+    let uv_transform = material_array[material_indices[slot].material].uv_transform;
+#else   // BINDLESS
+    let uv_transform = material.uv_transform;
+#endif  // BINDLESS
+    let uv = (uv_transform * vec3(in.uv, 1.0)).xy;
+
+    // Multiply the base color by the `modulate_texture` and `modulate_color`.
+#ifdef BINDLESS
+    // Notice how we fetch the texture, sampler, and plain extended material
+    // data from the appropriate arrays.
+    pbr_input.material.base_color *= textureSample(
+        bindless_textures_2d[example_extended_material_indices[slot].modulate_texture],
+        bindless_samplers_filtering[
+            example_extended_material_indices[slot].modulate_texture_sampler
+        ],
+        uv
+    ) * example_extended_material[example_extended_material_indices[slot].material].modulate_color;
+#else   // BINDLESS
+    pbr_input.material.base_color *= textureSample(modulate_texture, modulate_sampler, uv) *
+        example_extended_material.modulate_color;
+#endif  // BINDLESS
+
+    var out: FragmentOutput;
+    // Apply lighting.
+    out.color = apply_pbr_lighting(pbr_input);
+    // Apply in-shader post processing (fog, alpha-premultiply, and also
+    // tonemapping, debanding if the camera is non-HDR). Note this does not
+    // include fullscreen postprocessing effects like bloom.
+    out.color = main_pass_post_lighting_processing(pbr_input, out.color);
+    return out;
+}

assets/shaders/fallback_image_test.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var test_texture_1d: texture_1d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var test_texture_1d_sampler: sampler;
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(2) var test_texture_2d: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(3) var test_texture_2d_sampler: sampler;
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(4) var test_texture_2d_array: texture_2d_array<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(5) var test_texture_2d_array_sampler: sampler;
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(6) var test_texture_cube: texture_cube<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(7) var test_texture_cube_sampler: sampler;
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(8) var test_texture_cube_array: texture_cube_array<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(9) var test_texture_cube_array_sampler: sampler;
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(10) var test_texture_3d: texture_3d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(11) var test_texture_3d_sampler: sampler;
+
+@fragment
+fn fragment(in: VertexOutput) {}

assets/shaders/fullscreen_effect.wgsl

···
+// This shader computes the chromatic aberration effect
+
+// Since post processing is a fullscreen effect, we use the fullscreen vertex shader provided by bevy.
+// This will import a vertex shader that renders a single fullscreen triangle.
+//
+// A fullscreen triangle is a single triangle that covers the entire screen.
+// The box in the top left in that diagram is the screen. The 4 x are the corner of the screen
+//
+// Y axis
+//  1 |  x-----x......
+//  0 |  |  s  |  . ´
+// -1 |  x_____x´
+// -2 |  :  .´
+// -3 |  :´
+//    +---------------  X axis
+//      -1  0  1  2  3
+//
+// As you can see, the triangle ends up bigger than the screen.
+//
+// You don't need to worry about this too much since bevy will compute the correct UVs for you.
+#import bevy_core_pipeline::fullscreen_vertex_shader::FullscreenVertexOutput
+
+@group(0) @binding(0) var screen_texture: texture_2d<f32>;
+@group(0) @binding(1) var texture_sampler: sampler;
+
+struct FullScreenEffect {
+    intensity: f32,
+#ifdef SIXTEEN_BYTE_ALIGNMENT
+    // WebGL2 structs must be 16 byte aligned.
+    _webgl2_padding: vec3<f32>
+#endif
+}
+
+@group(0) @binding(2) var<uniform> settings: FullScreenEffect;
+
+@fragment
+fn fragment(in: FullscreenVertexOutput) -> @location(0) vec4<f32> {
+    // Chromatic aberration strength
+    let offset_strength = settings.intensity;
+
+    // Sample each color channel with an arbitrary shift
+    return vec4<f32>(
+        textureSample(screen_texture, texture_sampler, in.uv + vec2<f32>(offset_strength, -offset_strength)).r,
+        textureSample(screen_texture, texture_sampler, in.uv + vec2<f32>(-offset_strength, 0.0)).g,
+        textureSample(screen_texture, texture_sampler, in.uv + vec2<f32>(0.0, offset_strength)).b,
+        1.0
+    );
+}
+
+

assets/shaders/game_of_life.wgsl

···
+// The shader reads the previous frame's state from the `input` texture, and writes the new state of
+// each pixel to the `output` texture. The textures are flipped each step to progress the
+// simulation.
+// Two textures are needed for the game of life as each pixel of step N depends on the state of its
+// neighbors at step N-1.
+
+@group(0) @binding(0) var input: texture_storage_2d<rgba32float, read>;
+
+@group(0) @binding(1) var output: texture_storage_2d<rgba32float, write>;
+
+@group(0) @binding(2) var<uniform> config: GameOfLifeUniforms;
+
+struct GameOfLifeUniforms {
+    alive_color: vec4<f32>,
+}
+
+fn hash(value: u32) -> u32 {
+    var state = value;
+    state = state ^ 2747636419u;
+    state = state * 2654435769u;
+    state = state ^ (state >> 16u);
+    state = state * 2654435769u;
+    state = state ^ (state >> 16u);
+    state = state * 2654435769u;
+    return state;
+}
+
+fn randomFloat(value: u32) -> f32 {
+    return f32(hash(value)) / 4294967295.0;
+}
+
+@compute @workgroup_size(8, 8, 1)
+fn init(@builtin(global_invocation_id) invocation_id: vec3<u32>) {
+    let location = vec2<i32>(i32(invocation_id.x), i32(invocation_id.y));
+
+    let randomNumber = randomFloat((invocation_id.y << 16u) | invocation_id.x);
+    let alive = randomNumber > 0.9;
+    // Use alpha channel to keep track of cell's state
+    let color = vec4(config.alive_color.rgb, f32(alive));
+
+    textureStore(output, location, color);
+}
+
+fn is_alive(location: vec2<i32>, offset_x: i32, offset_y: i32) -> i32 {
+    let value: vec4<f32> = textureLoad(input, location + vec2<i32>(offset_x, offset_y));
+    return i32(value.a);
+}
+
+fn count_alive(location: vec2<i32>) -> i32 {
+    return is_alive(location, -1, -1) +
+           is_alive(location, -1,  0) +
+           is_alive(location, -1,  1) +
+           is_alive(location,  0, -1) +
+           is_alive(location,  0,  1) +
+           is_alive(location,  1, -1) +
+           is_alive(location,  1,  0) +
+           is_alive(location,  1,  1);
+}
+
+@compute @workgroup_size(8, 8, 1)
+fn update(@builtin(global_invocation_id) invocation_id: vec3<u32>) {
+    let location = vec2<i32>(i32(invocation_id.x), i32(invocation_id.y));
+
+    let n_alive = count_alive(location);
+
+    var alive: bool;
+    if (n_alive == 3) {
+        alive = true;
+    } else if (n_alive == 2) {
+        let currently_alive = is_alive(location, 0, 0);
+        alive = bool(currently_alive);
+    } else {
+        alive = false;
+    }
+    let color = vec4(config.alive_color.rgb, f32(alive));
+
+    textureStore(output, location, color);
+}

assets/shaders/gpu_readback.wgsl

···
+// This shader is used for the gpu_readback example
+// The actual work it does is not important for the example
+
+// This is the data that lives in the gpu only buffer
+@group(0) @binding(0) var<storage, read_write> data: array<u32>;
+@group(0) @binding(1) var texture: texture_storage_2d<r32uint, write>;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+    // We use the global_id to index the array to make sure we don't
+    // access data used in another workgroup
+    data[global_id.x] += 1u;
+    // Write the same data to the texture
+    textureStore(texture, vec2<i32>(i32(global_id.x), 0), vec4<u32>(data[global_id.x], 0, 0, 0));
+}

assets/shaders/instancing.wgsl

···
+#import bevy_pbr::mesh_functions::{get_world_from_local, mesh_position_local_to_clip}
+
+struct Vertex {
+    @location(0) position: vec3<f32>,
+    @location(1) normal: vec3<f32>,
+    @location(2) uv: vec2<f32>,
+
+    @location(3) i_pos_scale: vec4<f32>,
+    @location(4) i_color: vec4<f32>,
+};
+
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) color: vec4<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    let position = vertex.position * vertex.i_pos_scale.w + vertex.i_pos_scale.xyz;
+    var out: VertexOutput;
+    // NOTE: Passing 0 as the instance_index to get_world_from_local() is a hack
+    // for this example as the instance_index builtin would map to the wrong
+    // index in the Mesh array. This index could be passed in via another
+    // uniform instead but it's unnecessary for the example.
+    out.clip_position = mesh_position_local_to_clip(
+        get_world_from_local(0u),
+        vec4<f32>(position, 1.0)
+    );
+    out.color = vertex.i_color;
+    return out;
+}
+
+@fragment
+fn fragment(in: VertexOutput) -> @location(0) vec4<f32> {
+    return in.color;
+}

assets/shaders/irradiance_volume_voxel_visualization.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+#import bevy_pbr::irradiance_volume
+#import bevy_pbr::mesh_view_bindings
+#import bevy_pbr::clustered_forward
+
+struct VoxelVisualizationIrradianceVolumeInfo {
+    world_from_voxel: mat4x4<f32>,
+    voxel_from_world: mat4x4<f32>,
+    resolution: vec3<u32>,
+    // A scale factor that's applied to the diffuse and specular light from the
+    // light probe. This is in units of cd/m² (candela per square meter).
+    intensity: f32,
+}
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(100)
+var<uniform> irradiance_volume_info: VoxelVisualizationIrradianceVolumeInfo;
+
+@fragment
+fn fragment(mesh: VertexOutput) -> @location(0) vec4<f32> {
+    // Snap the world position we provide to `irradiance_volume_light()` to the
+    // middle of the nearest texel.
+    var unit_pos = (irradiance_volume_info.voxel_from_world *
+        vec4(mesh.world_position.xyz, 1.0f)).xyz;
+    let resolution = vec3<f32>(irradiance_volume_info.resolution);
+    let stp = clamp((unit_pos + 0.5) * resolution, vec3(0.5f), resolution - vec3(0.5f));
+    let stp_rounded = round(stp - 0.5f) + 0.5f;
+    let rounded_world_pos = (irradiance_volume_info.world_from_voxel * vec4(stp_rounded, 1.0f)).xyz;
+
+    // Look up the irradiance volume range in the cluster list.
+    let view_z = dot(vec4<f32>(
+        mesh_view_bindings::view.view_from_world[0].z,
+        mesh_view_bindings::view.view_from_world[1].z,
+        mesh_view_bindings::view.view_from_world[2].z,
+        mesh_view_bindings::view.view_from_world[3].z
+    ), mesh.world_position);
+    let cluster_index = clustered_forward::view_fragment_cluster_index(mesh.position.xy, view_z, false);
+    var clusterable_object_index_ranges =
+        clustered_forward::unpack_clusterable_object_index_ranges(cluster_index);
+
+    // `irradiance_volume_light()` multiplies by intensity, so cancel it out.
+    // If we take intensity into account, the cubes will be way too bright.
+    let rgb = irradiance_volume::irradiance_volume_light(
+        mesh.world_position.xyz,
+        mesh.world_normal,
+        &clusterable_object_index_ranges,
+    ) / irradiance_volume_info.intensity;
+
+    return vec4<f32>(rgb, 1.0f);
+}

assets/shaders/line_material.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+struct LineMaterial {
+    color: vec4<f32>,
+};
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> material: LineMaterial;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    return material.color;
+}

assets/shaders/manual_material.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var material_color_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var material_color_sampler: sampler;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    return textureSample(material_color_texture, material_color_sampler, mesh.uv);
+}

assets/shaders/post_processing.wgsl

···
+// This shader computes the chromatic aberration effect
+
+// Since post processing is a fullscreen effect, we use the fullscreen vertex shader provided by bevy.
+// This will import a vertex shader that renders a single fullscreen triangle.
+//
+// A fullscreen triangle is a single triangle that covers the entire screen.
+// The box in the top left in that diagram is the screen. The 4 x are the corner of the screen
+//
+// Y axis
+//  1 |  x-----x......
+//  0 |  |  s  |  . ´
+// -1 |  x_____x´
+// -2 |  :  .´
+// -3 |  :´
+//    +---------------  X axis
+//      -1  0  1  2  3
+//
+// As you can see, the triangle ends up bigger than the screen.
+//
+// You don't need to worry about this too much since bevy will compute the correct UVs for you.
+#import bevy_core_pipeline::fullscreen_vertex_shader::FullscreenVertexOutput
+
+@group(0) @binding(0) var screen_texture: texture_2d<f32>;
+@group(0) @binding(1) var texture_sampler: sampler;
+struct PostProcessSettings {
+    intensity: f32,
+#ifdef SIXTEEN_BYTE_ALIGNMENT
+    // WebGL2 structs must be 16 byte aligned.
+    _webgl2_padding: vec3<f32>
+#endif
+}
+@group(0) @binding(2) var<uniform> settings: PostProcessSettings;
+
+@fragment
+fn fragment(in: FullscreenVertexOutput) -> @location(0) vec4<f32> {
+    // Chromatic aberration strength
+    let offset_strength = settings.intensity;
+
+    // Sample each color channel with an arbitrary shift
+    return vec4<f32>(
+        textureSample(screen_texture, texture_sampler, in.uv + vec2<f32>(offset_strength, -offset_strength)).r,
+        textureSample(screen_texture, texture_sampler, in.uv + vec2<f32>(-offset_strength, 0.0)).g,
+        textureSample(screen_texture, texture_sampler, in.uv + vec2<f32>(0.0, offset_strength)).b,
+        1.0
+    );
+}
+

assets/shaders/screen_space_texture_material.wgsl

···
+// A shader that samples its emissive texture at screen space positions rather
+// than UVs.
+//
+// This is used for the mirror example: `examples/3d/mirror.rs`.
+
+#import bevy_pbr::{
+    forward_io::{VertexOutput, FragmentOutput},
+    pbr_bindings::emissive_texture,
+    pbr_fragment::pbr_input_from_standard_material,
+    pbr_functions::{alpha_discard, apply_pbr_lighting, main_pass_post_lighting_processing}
+}
+
+// This is unused, but it's here to satisfy `ExtendedMaterial` requirements.
+// See the comment in `ScreenSpaceTextureExtension` in `examples/3d/mirror.rs`
+// for more information.
+struct ScreenSpaceTextureMaterial {
+    // An unused value.
+    dummy: f32,
+}
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(100) var<uniform> material: ScreenSpaceTextureMaterial;
+
+@fragment
+fn fragment(in: VertexOutput, @builtin(front_facing) is_front: bool) -> FragmentOutput {
+    var pbr_input = pbr_input_from_standard_material(in, is_front);
+
+    // Use zero alpha to avoid multiplying the emissive by the view exposure.
+    pbr_input.material.emissive = vec4(
+        textureLoad(emissive_texture, vec2<i32>(floor(in.position.xy)), 0).rgb,
+        0.0
+    );
+
+    var out: FragmentOutput;
+    out.color = apply_pbr_lighting(pbr_input);
+    out.color = main_pass_post_lighting_processing(pbr_input, out.color);
+    return out;
+}

assets/shaders/shader_defs.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+struct CustomMaterial {
+    color: vec4<f32>,
+};
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> material: CustomMaterial;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+#ifdef IS_RED
+    return vec4<f32>(1.0, 0.0, 0.0, 1.0);
+#else
+    return material.color;
+#endif
+}

assets/shaders/show_depth_texture_material.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var depth_texture: texture_depth_2d;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var depth_sampler: sampler_comparison;
+
+@fragment
+fn fragment(input: VertexOutput) -> @location(0) vec4<f32> {
+    // Just draw the depth.
+    let st = vec2<i32>(input.uv * vec2<f32>(textureDimensions(depth_texture).xy));
+    return vec4(vec3(textureLoad(depth_texture, st, 0)), 1.0);
+}

assets/shaders/show_prepass.wgsl

···
+#import bevy_pbr::{
+    mesh_view_bindings::globals,
+    prepass_utils,
+    forward_io::VertexOutput,
+}
+
+struct ShowPrepassSettings {
+    show_depth: u32,
+    show_normals: u32,
+    show_motion_vectors: u32,
+    padding_1: u32,
+    padding_2: u32,
+}
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> settings: ShowPrepassSettings;
+
+@fragment
+fn fragment(
+#ifdef MULTISAMPLED
+    @builtin(sample_index) sample_index: u32,
+#endif
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+#ifndef MULTISAMPLED
+    let sample_index = 0u;
+#endif
+    if settings.show_depth == 1u {
+        let depth = bevy_pbr::prepass_utils::prepass_depth(mesh.position, sample_index);
+        return vec4(depth, depth, depth, 1.0);
+    } else if settings.show_normals == 1u {
+        let normal = bevy_pbr::prepass_utils::prepass_normal(mesh.position, sample_index);
+        return vec4(normal, 1.0);
+    } else if settings.show_motion_vectors == 1u {
+        let motion_vector = bevy_pbr::prepass_utils::prepass_motion_vector(mesh.position, sample_index);
+        return vec4(motion_vector / globals.delta_time, 0.0, 1.0);
+    }
+
+    return vec4(0.0);
+}

assets/shaders/single_mip_level.wgsl

···
+// A shader that displays only one mip level of a texture.
+
+#import bevy_sprite::mesh2d_vertex_output::VertexOutput
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<uniform> mip_level: u32;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var base_color_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(2) var base_color_sampler: sampler;
+
+@fragment
+fn fragment(mesh: VertexOutput) -> @location(0) vec4<f32> {
+    return textureSampleLevel(base_color_texture, base_color_sampler, mesh.uv, f32(mip_level));
+}

assets/shaders/specialized_mesh_pipeline.wgsl

···
+//! Very simple shader used to demonstrate how to get the world position and pass data
+//! between the vertex and fragment shader. Also shows the custom vertex layout.
+
+// First we import everything we need from bevy_pbr
+// A 2D shader would be very similar but import from bevy_sprite instead
+#import bevy_pbr::{
+    mesh_functions,
+    view_transformations::position_world_to_clip
+}
+
+struct Vertex {
+    // This is needed if you are using batching and/or gpu preprocessing
+    // It's a built in so you don't need to define it in the vertex layout
+    @builtin(instance_index) instance_index: u32,
+    // Like we defined for the vertex layout
+    // position is at location 0
+    @location(0) position: vec3<f32>,
+    // and color at location 1
+    @location(1) color: vec4<f32>,
+};
+
+// This is the output of the vertex shader and we also use it as the input for the fragment shader
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) world_position: vec4<f32>,
+    @location(1) color: vec3<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    var out: VertexOutput;
+    // This is how bevy computes the world position
+    // The vertex.instance_index is very important. Especially if you are using batching and gpu preprocessing
+    var world_from_local = mesh_functions::get_world_from_local(vertex.instance_index);
+    out.world_position = mesh_functions::mesh_position_local_to_world(world_from_local, vec4(vertex.position, 1.0));
+    out.clip_position = position_world_to_clip(out.world_position.xyz);
+
+    // We just use the raw vertex color
+    out.color = vertex.color.rgb;
+
+    return out;
+}
+
+@fragment
+fn fragment(in: VertexOutput) -> @location(0) vec4<f32> {
+    // output the color directly
+    return vec4(in.color, 1.0);
+}

assets/shaders/storage_buffer.wgsl

···
+#import bevy_pbr::{
+    mesh_functions,
+    view_transformations::position_world_to_clip
+}
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var<storage, read> colors: array<vec4<f32>, 5>;
+
+struct Vertex {
+    @builtin(instance_index) instance_index: u32,
+    @location(0) position: vec3<f32>,
+};
+
+struct VertexOutput {
+    @builtin(position) clip_position: vec4<f32>,
+    @location(0) world_position: vec4<f32>,
+    @location(1) color: vec4<f32>,
+};
+
+@vertex
+fn vertex(vertex: Vertex) -> VertexOutput {
+    var out: VertexOutput;
+    let tag = mesh_functions::get_tag(vertex.instance_index);
+    var world_from_local = mesh_functions::get_world_from_local(vertex.instance_index);
+    out.world_position = mesh_functions::mesh_position_local_to_world(world_from_local, vec4(vertex.position, 1.0));
+    out.clip_position = position_world_to_clip(out.world_position.xyz);
+
+    out.color = colors[tag];
+    return out;
+}
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    return mesh.color;
+}

assets/shaders/texture_binding_array.wgsl

···
+#import bevy_pbr::forward_io::VertexOutput
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(0) var textures: binding_array<texture_2d<f32>>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(1) var nearest_sampler: sampler;
+// We can also have array of samplers
+// var samplers: binding_array<sampler>;
+
+@fragment
+fn fragment(
+    mesh: VertexOutput,
+) -> @location(0) vec4<f32> {
+    // Select the texture to sample from using non-uniform uv coordinates
+    let coords = clamp(vec2<u32>(mesh.uv * 4.0), vec2<u32>(0u), vec2<u32>(3u));
+    let index = coords.y * 4u + coords.x;
+    let inner_uv = fract(mesh.uv * 4.0);
+    return textureSample(textures[index], nearest_sampler, inner_uv);
+}

assets/shaders/tonemapping_test_patterns.wgsl

···
+#import bevy_pbr::{
+    mesh_view_bindings,
+    forward_io::VertexOutput,
+}
+
+#import bevy_render::maths::PI
+
+#ifdef TONEMAP_IN_SHADER
+#import bevy_core_pipeline::tonemapping::tone_mapping
+#endif
+
+// Sweep across hues on y axis with value from 0.0 to +15EV across x axis
+// quantized into 24 steps for both axis.
+fn color_sweep(uv_input: vec2<f32>) -> vec3<f32> {
+    var uv = uv_input;
+    let steps = 24.0;
+    uv.y = uv.y * (1.0 + 1.0 / steps);
+    let ratio = 2.0;
+
+    let h = PI * 2.0 * floor(1.0 + steps * uv.y) / steps;
+    let L = floor(uv.x * steps * ratio) / (steps * ratio) - 0.5;
+
+    var color = vec3(0.0);
+    if uv.y < 1.0 {
+        color = cos(h + vec3(0.0, 1.0, 2.0) * PI * 2.0 / 3.0);
+        let maxRGB = max(color.r, max(color.g, color.b));
+        let minRGB = min(color.r, min(color.g, color.b));
+        color = exp(15.0 * L) * (color - minRGB) / (maxRGB - minRGB);
+    } else {
+        color = vec3(exp(15.0 * L));
+    }
+    return color;
+}
+
+fn hsv_to_srgb(c: vec3<f32>) -> vec3<f32> {
+    let K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);
+    let p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);
+    return c.z * mix(K.xxx, clamp(p - K.xxx, vec3(0.0), vec3(1.0)), c.y);
+}
+
+// Generates a continuous sRGB sweep.
+fn continuous_hue(uv: vec2<f32>) -> vec3<f32> {
+    return hsv_to_srgb(vec3(uv.x, 1.0, 1.0)) * max(0.0, exp2(uv.y * 9.0) - 1.0);
+}
+
+@fragment
+fn fragment(
+    in: VertexOutput,
+) -> @location(0) vec4<f32> {
+    var uv = in.uv;
+    var out = vec3(0.0);
+    if uv.y > 0.5 {
+        uv.y = 1.0 - uv.y;
+        out = color_sweep(vec2(uv.x, uv.y * 2.0));
+    } else {
+        out = continuous_hue(vec2(uv.y * 2.0, uv.x));
+    }
+    var color = vec4(out, 1.0);
+#ifdef TONEMAP_IN_SHADER
+    color = tone_mapping(color, mesh_view_bindings::view.color_grading);
+#endif
+    return color;
+}

assets/shaders/util.wesl

···
+fn make_polka_dots(pos: vec2<f32>, time: f32) -> vec4<f32> {
+    let scaled_pos = pos * 6.0;
+    let cell = vec2<f32>(fract(scaled_pos.x), fract(scaled_pos.y));
+    var dist_from_center = distance(cell, vec2<f32>(0.5));
+
+    let is_even = (floor(scaled_pos.x) + floor(scaled_pos.y)) % 2.0;
+
+    var dot_color = vec3<f32>(0.0);
+    var is_dot = 0.0;
+
+    @if(!PARTY_MODE) {
+        let color1 = vec3<f32>(1.0, 0.4, 0.8);  // pink
+        let color2 = vec3<f32>(0.6, 0.2, 1.0);  // purple
+        dot_color = mix(color1, color2, is_even);
+        is_dot = step(dist_from_center, 0.3);
+    } @else {
+        let grid_x = floor(scaled_pos.x);
+        let grid_y = floor(scaled_pos.y);
+        let wave_speed = 3.0;
+        let wave_phase = time * wave_speed;
+
+        let diagonal_pos = (grid_x + grid_y) * 0.5;
+        let wave_value = sin(diagonal_pos + wave_phase);
+
+        let wave_normalized = (wave_value + 1.0) * 0.5;
+
+        let color1 = vec3<f32>(1.0, 0.3, 0.7);
+        let color2 = vec3<f32>(0.5, 0.1, 1.0);
+        let intense_color1 = vec3<f32>(1.0, 0.1, 0.9);
+        let intense_color2 = vec3<f32>(0.8, 0.0, 1.0);
+
+        let animated_color1 = mix(color1, intense_color1, wave_normalized);
+        let animated_color2 = mix(color2, intense_color2, wave_normalized);
+
+        dot_color = mix(animated_color1, animated_color2, is_even);
+
+        let size_mod = 0.15 * wave_value;
+        dist_from_center = dist_from_center * (1.0 - size_mod);
+        // Animate whether something is a dot by position but also time
+        is_dot = step(dist_from_center, 0.3 + wave_normalized * 0.2);
+    }
+
+    return vec4<f32>(dot_color * is_dot, 1.0);
+}

assets/shaders/water_material.wgsl

···
+// A shader that creates water ripples by overlaying 4 normal maps on top of one
+// another.
+//
+// This is used in the `ssr` example. It only supports deferred rendering.
+
+#import bevy_pbr::{
+    pbr_deferred_functions::deferred_output,
+    pbr_fragment::pbr_input_from_standard_material,
+    prepass_io::{VertexOutput, FragmentOutput},
+}
+#import bevy_render::globals::Globals
+
+// Parameters to the water shader.
+struct WaterSettings {
+    // How much to displace each octave each frame, in the u and v directions.
+    // Two octaves are packed into each `vec4`.
+    octave_vectors: array<vec4<f32>, 2>,
+    // How wide the waves are in each octave.
+    octave_scales: vec4<f32>,
+    // How high the waves are in each octave.
+    octave_strengths: vec4<f32>,
+}
+
+@group(0) @binding(1) var<uniform> globals: Globals;
+
+@group(#{MATERIAL_BIND_GROUP}) @binding(100) var water_normals_texture: texture_2d<f32>;
+@group(#{MATERIAL_BIND_GROUP}) @binding(101) var water_normals_sampler: sampler;
+@group(#{MATERIAL_BIND_GROUP}) @binding(102) var<uniform> water_settings: WaterSettings;
+
+// Samples a single octave of noise and returns the resulting normal.
+fn sample_noise_octave(uv: vec2<f32>, strength: f32) -> vec3<f32> {
+    let N = textureSample(water_normals_texture, water_normals_sampler, uv).rbg * 2.0 - 1.0;
+    // This isn't slerp, but it's good enough.
+    return normalize(mix(vec3(0.0, 1.0, 0.0), N, strength)); 
+}
+
+// Samples all four octaves of noise and returns the resulting normal.
+fn sample_noise(uv: vec2<f32>, time: f32) -> vec3<f32> {
+    let uv0 = uv * water_settings.octave_scales[0] + water_settings.octave_vectors[0].xy * time;
+    let uv1 = uv * water_settings.octave_scales[1] + water_settings.octave_vectors[0].zw * time;
+    let uv2 = uv * water_settings.octave_scales[2] + water_settings.octave_vectors[1].xy * time;
+    let uv3 = uv * water_settings.octave_scales[3] + water_settings.octave_vectors[1].zw * time;
+    return normalize(
+        sample_noise_octave(uv0, water_settings.octave_strengths[0]) +
+        sample_noise_octave(uv1, water_settings.octave_strengths[1]) +
+        sample_noise_octave(uv2, water_settings.octave_strengths[2]) +
+        sample_noise_octave(uv3, water_settings.octave_strengths[3])
+    );
+}
+
+@fragment
+fn fragment(in: VertexOutput, @builtin(front_facing) is_front: bool) -> FragmentOutput {
+    // Create the PBR input.
+    var pbr_input = pbr_input_from_standard_material(in, is_front);
+    // Bump the normal.
+    pbr_input.N = sample_noise(in.uv, globals.time);
+    // Send the rest to the deferred shader.
+    return deferred_output(in, pbr_input);
+}

assets/textures/Ryfjallet_cubemap_readme.txt

···
+Modifications
+=============
+
+The original work, as attributed below, has been modified as follows using the ImageMagick tool:
+
+mogrify -resize 256x256 -format png *.jpg
+convert posx.png negx.png posy.png negy.png posz.png negz.png -gravity center -append cubemap.png
+
+Author
+======
+
+This is the work of Emil Persson, aka Humus.
+http://www.humus.name
+
+
+
+License
+=======
+
+This work is licensed under a Creative Commons Attribution 3.0 Unported License.
+http://creativecommons.org/licenses/by/3.0/

assets/textures/fantasy_ui_borders/License.txt

···
+	
+
+	Fantasy UI Borders (1.0)
+
+	Created/distributed by Kenney (www.kenney.nl)
+	Creation date: 03-12-2023
+
+	For the sample image the font 'Aoboshi One' was used, OPL (Open Font License)
+
+			------------------------------
+
+	License: (Creative Commons Zero, CC0)
+	http://creativecommons.org/publicdomain/zero/1.0/
+
+	You can use this content for personal, educational, and commercial purposes.
+
+	Support by crediting 'Kenney' or 'www.kenney.nl' (this is not a requirement)
+
+			------------------------------
+
+	• Website : www.kenney.nl
+	• Donate  : www.kenney.nl/donate
+
+	• Patreon : patreon.com/kenney
+	
+	Follow on social media for updates:
+
+	• Twitter:	twitter.com/KenneyNL
+	• Instagram: 	instagram.com/kenney_nl
+	• Mastodon:	mastodon.gamedev.place/@kenney

assets/textures/simplespace/License.txt

···
+	
+
+	Simple Space
+
+	Created/distributed by Kenney (www.kenney.nl)
+	Creation date: 03-03-2021
+
+			------------------------------
+
+	License: (Creative Commons Zero, CC0)
+	http://creativecommons.org/publicdomain/zero/1.0/
+
+	This content is free to use in personal, educational and commercial projects.
+	Support us by crediting Kenney or www.kenney.nl (this is not mandatory)
+
+			------------------------------
+
+	Donate:   http://support.kenney.nl
+	Patreon:  http://patreon.com/kenney/
+
+	Follow on Twitter for updates:
+	http://twitter.com/KenneyNL

nix/modules/devshell.nix

···
     lib,
     ...
   }: {
-    devShells.default = pkgs.mkShell {
-      name = "jacquard-shell";
-      inputsFrom = [
-        self'.devShells.rust
-        config.pre-commit.devShell # See ./nix/modules/pre-commit.nix
-      ];
-      packages = with pkgs; [
-        just
-        nixd # Nix language server
-        bacon
-        rust-analyzer
-        cargo-machete
-        cargo-semver-checks
-        cargo-binstall
-        cargo-dist
-        cargo-nextest
-        zip
-        atproto-goat
-      ];
-    };
+    devShells.default = let
+      libPath = with pkgs;
+        lib.makeLibraryPath [
+          libGL
+          libxkbcommon
+          wayland
+          udev
+          alsa-lib
+          vulkan-loader
+          libx11
+
+          libxi
+          libxcursor
+
+          libxrandr
+        ];
+    in
+      pkgs.mkShell {
+        name = "jacquard-shell";
+        inputsFrom = [
+          self'.devShells.rust
+          config.pre-commit.devShell # See ./nix/modules/pre-commit.nix
+        ];
+        RUST_SRC_PATH = "${pkgs.rust.packages.stable.rustPlatform.rustLibSrc}";
+        LD_LIBRARY_PATH = libPath;
+        packages = with pkgs; [
+          just
+          nixd # Nix language server
+          bacon
+          rust-analyzer
+          cargo-machete
+          cargo-semver-checks
+          cargo-binstall
+          cargo-dist
+          cargo-nextest
+          zip
+          atproto-goat
+          clang
+          llvmPackages.bintools
+          libGL
+          libxkbcommon
+          wayland
+          pkg-config
+
+          udev
+          alsa-lib-with-plugins
+          # Cross Platform 3D Graphics API
+          vulkan-loader
+          # For debugging around vulkan
+          vulkan-tools
+          # Other dependencies
+          libudev-zero
+          libx11
+
+          libxi
+          libxcursor
+
+          libxrandr
+        ];
+      };
   };
 }

src/main.rs

···
+//! Demonstrates the normal map, metallic-roughness map, and emissive features
+//! of clustered decals.
+
+use std::{f32::consts::PI, time::Duration};
+
+use bevy::{
+    asset::io::web::WebAssetPlugin,
+    color::palettes::css::{CRIMSON, GOLD},
+    image::ImageLoaderSettings,
+    light::ClusteredDecal,
+    prelude::*,
+    render::view::Hdr,
+};
+use rand::{Rng, RngExt, SeedableRng};
+use rand_chacha::ChaCha8Rng;
+
+use widgets::{RadioButton, RadioButtonText, WidgetClickEvent, WidgetClickSender};
+
+mod widgets;
+
+/// The demonstration textures that we use.
+///
+/// We cache these for efficiency.
+#[derive(Resource)]
+struct AppTextures {
+    /// The base color that all our decals have (the Bevy logo).
+    decal_base_color_texture: Handle<Image>,
+
+    /// A normal map that all our decals have.
+    ///
+    /// This provides a nice raised embossed look.
+    decal_normal_map_texture: Handle<Image>,
+
+    /// The metallic-roughness map that all our decals have.
+    ///
+    /// Metallic is in the blue channel and roughness is in the green channel,
+    /// like glTF requires.
+    decal_metallic_roughness_map_texture: Handle<Image>,
+
+    /// The emissive texture that can optionally be enabled.
+    ///
+    /// This causes the white bird to glow.
+    decal_emissive_texture: Handle<Image>,
+}
+
+impl FromWorld for AppTextures {
+    fn from_world(world: &mut World) -> Self {
+        // Load all the decal textures.
+        let asset_server = world.resource::<AssetServer>();
+        AppTextures {
+            decal_base_color_texture: asset_server.load("branding/bevy_bird_dark.png"),
+            decal_normal_map_texture: asset_server.load_with_settings(
+                get_web_asset_url("BevyLogo-Normal.png"),
+                |settings: &mut ImageLoaderSettings| settings.is_srgb = false,
+            ),
+            decal_metallic_roughness_map_texture: asset_server.load_with_settings(
+                get_web_asset_url("BevyLogo-MetallicRoughness.png"),
+                |settings: &mut ImageLoaderSettings| settings.is_srgb = false,
+            ),
+            decal_emissive_texture: asset_server.load(get_web_asset_url("BevyLogo-Emissive.png")),
+        }
+    }
+}
+
+/// A component that we place on our decals to track them for animation
+/// purposes.
+#[derive(Component)]
+struct ExampleDecal {
+    /// The width and height of the square decal in meters.
+    size: f32,
+    /// What state the decal is in (animating in, idling, or animating out).
+    state: ExampleDecalState,
+}
+
+/// The animation state of a decal.
+///
+/// When each [`Timer`] goes off, the decal advances to the next state.
+enum ExampleDecalState {
+    /// The decal has just been spawned and is animating in.
+    AnimatingIn(Timer),
+    /// The decal has animated in and is waiting to animate out.
+    Idling(Timer),
+    /// The decal is animating out.
+    ///
+    /// When this timer expires, the decal is despawned.
+    AnimatingOut(Timer),
+}
+
+/// All settings that the user can change.
+///
+/// This app only has one: whether newly-spawned decals are emissive.
+#[derive(Clone, Copy, PartialEq)]
+enum AppSetting {
+    /// True if newly-spawned decals have an emissive channel (i.e. they glow),
+    /// or false otherwise.
+    EmissiveDecals(bool),
+}
+
+/// The current values of the settings that the user can change.
+///
+/// This app only has one: whether newly-spawned decals are emissive.
+#[derive(Default, Resource)]
+struct AppStatus {
+    /// True if newly-spawned decals have an emissive channel (i.e. they glow),
+    /// or false otherwise.
+    emissive_decals: bool,
+}
+
+/// Half of the width and height of the plane onto which the decals are
+/// projected.
+const PLANE_HALF_SIZE: f32 = 2.0;
+/// The minimum width and height that a decal may have.
+///
+/// The actual size is determined randomly, using this value as a lower bound.
+const DECAL_MIN_SIZE: f32 = 0.5;
+/// The maximum width and height that a decal may have.
+///
+/// The actual size is determined randomly, using this value as an upper bound.
+const DECAL_MAX_SIZE: f32 = 1.5;
+
+/// How long it takes the decal to grow to its full size when animating in.
+const DECAL_ANIMATE_IN_DURATION: Duration = Duration::from_millis(300);
+/// How long a decal stays in the idle state before starting to animate out.
+const DECAL_IDLE_DURATION: Duration = Duration::from_secs(10);
+/// How long it takes the decal to shrink down to nothing when animating out.
+const DECAL_ANIMATE_OUT_DURATION: Duration = Duration::from_millis(300);
+
+/// The demo entry point.
 fn main() {
-    println!("Hello, world!");
+    App::new()
+        .add_plugins(
+            DefaultPlugins
+                .set(WebAssetPlugin {
+                    silence_startup_warning: true,
+                })
+                .set(WindowPlugin {
+                    primary_window: Some(Window {
+                        title: "Bevy Clustered Decal Maps Example".into(),
+                        ..default()
+                    }),
+                    ..default()
+                }),
+        )
+        .add_message::<WidgetClickEvent<AppSetting>>()
+        .init_resource::<AppStatus>()
+        .init_resource::<AppTextures>()
+        .add_systems(Startup, setup)
+        .add_systems(Update, draw_gizmos)
+        .add_systems(Update, spawn_decal)
+        .add_systems(Update, animate_decals)
+        .add_systems(
+            Update,
+            (
+                widgets::handle_ui_interactions::<AppSetting>,
+                update_radio_buttons,
+            ),
+        )
+        .add_systems(
+            Update,
+            handle_emission_type_change.after(widgets::handle_ui_interactions::<AppSetting>),
+        )
+        .insert_resource(SeededRng(ChaCha8Rng::seed_from_u64(19878367467712)))
+        .run();
+}
+
+#[derive(Resource)]
+struct SeededRng(ChaCha8Rng);
+
+/// Spawns all the objects in the scene.
+fn setup(
+    mut commands: Commands,
+    asset_server: Res<AssetServer>,
+    mut meshes: ResMut<Assets<Mesh>>,
+    mut materials: ResMut<Assets<StandardMaterial>>,
+) {
+    spawn_plane_mesh(&mut commands, &asset_server, &mut meshes, &mut materials);
+    spawn_light(&mut commands);
+    spawn_camera(&mut commands);
+    spawn_buttons(&mut commands);
+}
+
+/// Spawns the plane onto which the decals are projected.
+fn spawn_plane_mesh(
+    commands: &mut Commands,
+    asset_server: &AssetServer,
+    meshes: &mut Assets<Mesh>,
+    materials: &mut Assets<StandardMaterial>,
+) {
+    // Create a plane onto which we project decals.
+    //
+    // As the plane has a normal map, we must generate tangents for the
+    // vertices.
+    let plane_mesh = meshes.add(
+        Plane3d {
+            normal: Dir3::NEG_Z,
+            half_size: Vec2::splat(PLANE_HALF_SIZE),
+        }
+        .mesh()
+        .build()
+        .with_duplicated_vertices()
+        .with_computed_flat_normals()
+        .with_generated_tangents()
+        .unwrap(),
+    );
+
+    // Give the plane some texture.
+    //
+    // Note that, as this is a normal map, we must disable sRGB when loading.
+    let normal_map_texture = asset_server.load_with_settings(
+        "textures/ScratchedGold-Normal.png",
+        |settings: &mut ImageLoaderSettings| settings.is_srgb = false,
+    );
+
+    // Actually spawn the plane.
+    commands.spawn((
+        Mesh3d(plane_mesh),
+        MeshMaterial3d(materials.add(StandardMaterial {
+            base_color: Color::from(CRIMSON),
+            normal_map_texture: Some(normal_map_texture),
+            ..StandardMaterial::default()
+        })),
+        Transform::IDENTITY,
+    ));
+}
+
+/// Spawns a light to illuminate the scene.
+fn spawn_light(commands: &mut Commands) {
+    commands.spawn((
+        PointLight {
+            intensity: 10_000_000.,
+            range: 100.0,
+            ..default()
+        },
+        Transform::from_xyz(8.0, 16.0, -8.0),
+    ));
+}
+
+/// Spawns a camera.
+fn spawn_camera(commands: &mut Commands) {
+    commands.spawn((
+        Camera3d::default(),
+        Transform::from_xyz(2.0, 0.0, -7.0).looking_at(Vec3::ZERO, Vec3::Y),
+        Hdr,
+    ));
+}
+
+/// Spawns all the buttons at the bottom of the screen.
+fn spawn_buttons(commands: &mut Commands) {
+    commands.spawn((
+        widgets::main_ui_node(),
+        children![widgets::option_buttons(
+            "Emissive Decals",
+            &[
+                (AppSetting::EmissiveDecals(true), "On"),
+                (AppSetting::EmissiveDecals(false), "Off"),
+            ],
+        ),],
+    ));
+}
+
+/// Draws the outlines that show the bounds of the clustered decals.
+fn draw_gizmos(mut gizmos: Gizmos, decals: Query<&GlobalTransform, With<ClusteredDecal>>) {
+    for global_transform in &decals {
+        gizmos.primitive_3d(
+            &Cuboid {
+                // Since the clustered decal is a 1×1×1 cube in model space, its
+                // half-size is half of the scaling part of its transform.
+                half_size: global_transform.scale() * 0.5,
+            },
+            Isometry3d {
+                rotation: global_transform.rotation(),
+                translation: global_transform.translation_vec3a(),
+            },
+            GOLD,
+        );
+    }
+}
+
+/// A system that spawns new decals at fixed intervals.
+fn spawn_decal(
+    mut commands: Commands,
+    app_status: Res<AppStatus>,
+    app_textures: Res<AppTextures>,
+    time: Res<Time>,
+    mut decal_spawn_timer: Local<Option<Timer>>,
+    mut seeded_rng: ResMut<SeededRng>,
+) {
+    // Tick the decal spawn timer. Check to see if we should spawn a new decal,
+    // and bail out if it's not yet time to.
+    let decal_spawn_timer = decal_spawn_timer
+        .get_or_insert_with(|| Timer::new(Duration::from_millis(1000), TimerMode::Repeating));
+    decal_spawn_timer.tick(time.delta());
+    if !decal_spawn_timer.just_finished() {
+        return;
+    }
+
+    // Generate a random position along the plane.
+    let decal_position = vec3(
+        seeded_rng.0.random_range(-PLANE_HALF_SIZE..PLANE_HALF_SIZE),
+        seeded_rng.0.random_range(-PLANE_HALF_SIZE..PLANE_HALF_SIZE),
+        0.0,
+    );
+
+    // Generate a random size for the decal.
+    let decal_size = seeded_rng.0.random_range(DECAL_MIN_SIZE..DECAL_MAX_SIZE);
+
+    // Generate a random rotation for the decal.
+    let theta = seeded_rng.0.random_range(0.0f32..PI);
+
+    // Now spawn the decal.
+    commands.spawn((
+        // Apply the textures.
+        ClusteredDecal {
+            base_color_texture: Some(app_textures.decal_base_color_texture.clone()),
+            normal_map_texture: Some(app_textures.decal_normal_map_texture.clone()),
+            metallic_roughness_texture: Some(
+                app_textures.decal_metallic_roughness_map_texture.clone(),
+            ),
+            emissive_texture: if app_status.emissive_decals {
+                Some(app_textures.decal_emissive_texture.clone())
+            } else {
+                None
+            },
+            ..ClusteredDecal::default()
+        },
+        // Spawn the decal at the right place. Note that the scale is initially
+        // zero; we'll animate it later.
+        Transform::from_translation(decal_position)
+            .with_scale(Vec3::ZERO)
+            .looking_to(Vec3::Z, Vec3::ZERO.with_xy(Vec2::from_angle(theta))),
+        // Create the component that tracks the animation state.
+        ExampleDecal {
+            size: decal_size,
+            state: ExampleDecalState::AnimatingIn(Timer::new(
+                DECAL_ANIMATE_IN_DURATION,
+                TimerMode::Once,
+            )),
+        },
+    ));
+}
+
+/// A system that animates the decals growing as they enter and shrinking as
+/// they leave.
+fn animate_decals(
+    mut commands: Commands,
+    mut decals_query: Query<(Entity, &mut ExampleDecal, &mut Transform)>,
+    time: Res<Time>,
+) {
+    for (decal_entity, mut example_decal, mut decal_transform) in decals_query.iter_mut() {
+        // Update the animation timers, and advance the animation state if the
+        // timer has expired.
+        match example_decal.state {
+            ExampleDecalState::AnimatingIn(ref mut timer) => {
+                timer.tick(time.delta());
+                if timer.just_finished() {
+                    example_decal.state =
+                        ExampleDecalState::Idling(Timer::new(DECAL_IDLE_DURATION, TimerMode::Once));
+                }
+            }
+            ExampleDecalState::Idling(ref mut timer) => {
+                timer.tick(time.delta());
+                if timer.just_finished() {
+                    example_decal.state = ExampleDecalState::AnimatingOut(Timer::new(
+                        DECAL_ANIMATE_OUT_DURATION,
+                        TimerMode::Once,
+                    ));
+                }
+            }
+            ExampleDecalState::AnimatingOut(ref mut timer) => {
+                timer.tick(time.delta());
+                if timer.just_finished() {
+                    commands.entity(decal_entity).despawn();
+                    continue;
+                }
+            }
+        }
+
+        // Actually animate the decal by adjusting its transform.
+        // All we have to do here is to compute the decal's scale as a fraction
+        // of its full size.
+        let new_decal_scale_factor = match example_decal.state {
+            ExampleDecalState::AnimatingIn(ref timer) => timer.fraction(),
+            ExampleDecalState::Idling(_) => 1.0,
+            ExampleDecalState::AnimatingOut(ref timer) => timer.fraction_remaining(),
+        };
+        decal_transform.scale =
+            Vec3::splat(example_decal.size * new_decal_scale_factor).with_z(1.0);
+    }
+}
+
+/// Updates the appearance of the radio buttons to reflect the current
+/// application status.
+fn update_radio_buttons(
+    mut widgets: Query<
+        (
+            Entity,
+            Option<&mut BackgroundColor>,
+            Has<Text>,
+            &WidgetClickSender<AppSetting>,
+        ),
+        Or<(With<RadioButton>, With<RadioButtonText>)>,
+    >,
+    app_status: Res<AppStatus>,
+    mut writer: TextUiWriter,
+) {
+    for (entity, image, has_text, sender) in widgets.iter_mut() {
+        // We only have one setting in this particular application.
+        let selected = match **sender {
+            AppSetting::EmissiveDecals(emissive_decals) => {
+                emissive_decals == app_status.emissive_decals
+            }
+        };
+
+        if let Some(mut bg_color) = image {
+            // Update the colors of the button itself.
+            widgets::update_ui_radio_button(&mut bg_color, selected);
+        }
+        if has_text {
+            // Update the colors of the button text.
+            widgets::update_ui_radio_button_text(entity, &mut writer, selected);
+        }
+    }
+}
+
+/// Handles the user's clicks on the radio button that determines whether the
+/// newly-spawned decals have an emissive map.
+fn handle_emission_type_change(
+    mut app_status: ResMut<AppStatus>,
+    mut events: MessageReader<WidgetClickEvent<AppSetting>>,
+) {
+    for event in events.read() {
+        let AppSetting::EmissiveDecals(on) = **event;
+        app_status.emissive_decals = on;
+    }
+}
+
+/// Returns the GitHub download URL for the given asset.
+///
+/// The files are expected to be in the `clustered_decal_maps` directory in the
+/// [repository].
+///
+/// [repository]: https://github.com/bevyengine/bevy_asset_files
+fn get_web_asset_url(name: &str) -> String {
+    format!(
+        "https://raw.githubusercontent.com/bevyengine/bevy_asset_files/refs/heads/main/\
+clustered_decal_maps/{}",
+        name
+    )
 }

src/widgets.rs

···
+//! Simple widgets for example UI.
+//!
+//! Unlike other examples, which demonstrate an application, this demonstrates a plugin library.
+
+use bevy::prelude::*;
+
+/// An event that's sent whenever the user changes one of the settings by
+/// clicking a radio button.
+#[derive(Clone, Message, Deref, DerefMut)]
+pub struct WidgetClickEvent<T>(T);
+
+/// A marker component that we place on all widgets that send
+/// [`WidgetClickEvent`]s of the given type.
+#[derive(Clone, Component, Deref, DerefMut)]
+pub struct WidgetClickSender<T>(T)
+where
+    T: Clone + Send + Sync + 'static;
+
+/// A marker component that we place on all radio `Button`s.
+#[derive(Clone, Copy, Component)]
+pub struct RadioButton;
+
+/// A marker component that we place on all `Text` inside radio buttons.
+#[derive(Clone, Copy, Component)]
+pub struct RadioButtonText;
+
+/// The size of the border that surrounds buttons.
+pub const BUTTON_BORDER: UiRect = UiRect::all(Val::Px(1.0));
+
+/// The color of the border that surrounds buttons.
+pub const BUTTON_BORDER_COLOR: BorderColor = BorderColor {
+    left: Color::WHITE,
+    right: Color::WHITE,
+    top: Color::WHITE,
+    bottom: Color::WHITE,
+};
+
+/// The amount of rounding to apply to button corners.
+pub const BUTTON_BORDER_RADIUS_SIZE: Val = Val::Px(6.0);
+
+/// The amount of space between the edge of the button and its label.
+pub const BUTTON_PADDING: UiRect = UiRect::axes(Val::Px(12.0), Val::Px(6.0));
+
+/// Returns a [`Node`] appropriate for the outer main UI node.
+///
+/// This UI is in the bottom left corner and has flex column support
+pub fn main_ui_node() -> Node {
+    Node {
+        flex_direction: FlexDirection::Column,
+        position_type: PositionType::Absolute,
+        row_gap: px(6),
+        left: px(10),
+        bottom: px(10),
+        ..default()
+    }
+}
+
+/// Spawns a single radio button that allows configuration of a setting.
+///
+/// The type parameter specifies the value that will be packaged up and sent in
+/// a [`WidgetClickEvent`] when the radio button is clicked.
+pub fn option_button<T>(
+    option_value: T,
+    option_name: &str,
+    is_selected: bool,
+    is_first: bool,
+    is_last: bool,
+) -> impl Bundle
+where
+    T: Clone + Send + Sync + 'static,
+{
+    let (bg_color, fg_color) = if is_selected {
+        (Color::WHITE, Color::BLACK)
+    } else {
+        (Color::BLACK, Color::WHITE)
+    };
+
+    // Add the button node.
+    (
+        Button,
+        Node {
+            border: BUTTON_BORDER.with_left(if is_first { px(1) } else { px(0) }),
+            justify_content: JustifyContent::Center,
+            align_items: AlignItems::Center,
+            padding: BUTTON_PADDING,
+            border_radius: BorderRadius::ZERO
+                .with_left(if is_first {
+                    BUTTON_BORDER_RADIUS_SIZE
+                } else {
+                    px(0)
+                })
+                .with_right(if is_last {
+                    BUTTON_BORDER_RADIUS_SIZE
+                } else {
+                    px(0)
+                }),
+            ..default()
+        },
+        BUTTON_BORDER_COLOR,
+        BackgroundColor(bg_color),
+        RadioButton,
+        WidgetClickSender(option_value.clone()),
+        children![(
+            ui_text(option_name, fg_color),
+            RadioButtonText,
+            WidgetClickSender(option_value),
+        )],
+    )
+}
+
+/// Spawns the buttons that allow configuration of a setting.
+///
+/// The user may change the setting to any one of the labeled `options`. The
+/// value of the given type parameter will be packaged up and sent as a
+/// [`WidgetClickEvent`] when one of the radio buttons is clicked.
+pub fn option_buttons<T>(title: &str, options: &[(T, &str)]) -> impl Bundle
+where
+    T: Clone + Send + Sync + 'static,
+{
+    let buttons = options
+        .iter()
+        .cloned()
+        .enumerate()
+        .map(|(option_index, (option_value, option_name))| {
+            option_button(
+                option_value,
+                option_name,
+                option_index == 0,
+                option_index == 0,
+                option_index == options.len() - 1,
+            )
+        })
+        .collect::<Vec<_>>();
+    // Add the parent node for the row.
+    (
+        Node {
+            align_items: AlignItems::Center,
+            ..default()
+        },
+        Children::spawn((
+            Spawn((
+                ui_text(title, Color::BLACK),
+                Node {
+                    width: px(125),
+                    ..default()
+                },
+            )),
+            SpawnIter(buttons.into_iter()),
+        )),
+    )
+}
+
+/// Creates a text bundle for the UI.
+pub fn ui_text(label: &str, color: Color) -> impl Bundle + use<> {
+    (
+        Text::new(label),
+        TextFont {
+            font_size: 18.0,
+            ..default()
+        },
+        TextColor(color),
+    )
+}
+
+/// Checks for clicks on the radio buttons and sends `RadioButtonChangeEvent`s
+/// as necessary.
+pub fn handle_ui_interactions<T>(
+    mut interactions: Query<
+        (&Interaction, &WidgetClickSender<T>),
+        (With<Button>, With<RadioButton>),
+    >,
+    mut widget_click_events: MessageWriter<WidgetClickEvent<T>>,
+) where
+    T: Clone + Send + Sync + 'static,
+{
+    for (interaction, click_event) in interactions.iter_mut() {
+        if *interaction == Interaction::Pressed {
+            widget_click_events.write(WidgetClickEvent((**click_event).clone()));
+        }
+    }
+}
+
+/// Updates the style of the button part of a radio button to reflect its
+/// selected status.
+pub fn update_ui_radio_button(background_color: &mut BackgroundColor, selected: bool) {
+    background_color.0 = if selected { Color::WHITE } else { Color::BLACK };
+}
+
+/// Updates the color of the label of a radio button to reflect its selected
+/// status.
+pub fn update_ui_radio_button_text(entity: Entity, writer: &mut TextUiWriter, selected: bool) {
+    let text_color = if selected { Color::BLACK } else { Color::WHITE };
+
+    writer.for_each_color(entity, |mut color| {
+        color.0 = text_color;
+    });
+}