(drp2)\\n\\n .map(|db: Box| {\\n\",\n \"file_path\": \"bfffs/tests/common/ddml.rs\",\n \"rank\": 95,\n \"score\": 59.18493568502519\n },\n {\n \"content\": \" }).collect::>();\\n\\n let cs = NonZeroU64::new(*self.chunksize);\\n\\n let vdev_raid = VdevRaid::create(cs, *self.k, None, *self.f,\\n\\n paths.clone());\\n\\n current_thread::Runtime::new().unwrap().block_on(\\n\\n vdev_raid.open_zone(0)\\n\\n ).expect(\\\"open_zone\\\");\\n\\n (vdev_raid, tempdir, paths)\\n\\n }\\n\\n });\\n\\n\\n\\n fn make_bufs(chunksize: LbaT, k: i16, f: i16, s: usize) ->\\n\\n (DivBufShared, DivBufShared) {\\n\\n\\n\\n let chunks = s * (k - f) as usize;\\n\\n let lbas = chunksize * chunks as LbaT;\\n\\n let bytes = BYTES_PER_LBA * lbas as usize;\\n\\n let mut wvec = vec![0u8; bytes];\\n\\n let mut rng = thread_rng();\\n\\n for x in &mut wvec {\\n\",\n \"file_path\": \"bfffs/tests/common/raid/vdev_raid.rs\",\n \"rank\": 96,\n \"score\": 58.22505608956824\n },\n {\n \"content\": \" // Write the label, and compare to a golden master\\n\\n test write_label(fixture) {\\n\\n let lbas_per_zone = NonZeroU64::new(0xdead_beef_1a7e_babe);\\n\\n let vdev = VdevFile::create(fixture.val.0.clone(), lbas_per_zone)\\n\\n .unwrap();\\n\\n t!(current_thread::Runtime::new().unwrap().block_on(future::lazy(|| {\\n\\n let label_writer = LabelWriter::new(0);\\n\\n vdev.write_label(label_writer)\\n\\n })));\\n\\n\\n\\n let mut f = std::fs::File::open(fixture.val.0).unwrap();\\n\\n let mut v = vec![0; 4096];\\n\\n f.read_exact(&mut v).unwrap();\\n\\n // Uncomment this block to save the binary label for inspection\\n\\n /* {\\n\\n use std::fs::File;\\n\\n use std::io::Write;\\n\\n let mut df = File::create(\\\"/tmp/label.bin\\\").unwrap();\\n\\n df.write_all(&v[..]).unwrap();\\n\\n println!(\\\"UUID is {}\\\", vdev.uuid());\\n\\n } */\\n\\n // Compare against the golden master, skipping the checksum and UUID\\n\\n // fields\\n\\n assert_eq!(&v[0..16], &GOLDEN[0..16]);\\n\\n assert_eq!(&v[24..32], &GOLDEN[24..32]);\\n\\n assert_eq!(&v[48..GOLDEN.len()], &GOLDEN[48..GOLDEN.len()]);\\n\\n }\\n\\n}\\n\",\n \"file_path\": \"bfffs/tests/common/vdev_file.rs\",\n \"rank\": 97,\n \"score\": 58.08487809680813\n },\n {\n \"content\": \" /// or equal to the size of `paths`.\\n\\n /// * `lbas_per_zone`: If specified, this many LBAs will be assigned to\\n\\n /// simulated zones on devices that don't have\\n\\n /// native zones.\\n\\n /// * `redundancy`: Degree of RAID redundancy. Up to this many\\n\\n /// disks may fail before the array becomes\\n\\n /// inoperable.\\n\\n /// * `paths`: Slice of pathnames of files and/or devices\\n\\n #[cfg(not(test))]\\n\\n pub fn create_cluster + Sync>(chunksize: Option,\\n\\n disks_per_stripe: i16,\\n\\n lbas_per_zone: Option,\\n\\n redundancy: i16,\\n\\n paths: &[P])\\n\\n -> impl Future\\n\\n {\\n\\n let (tx, rx) = oneshot::channel();\\n\\n // DefaultExecutor needs 'static futures; we must copy the Paths\\n\\n let owned_paths = paths.iter()\\n\\n .map(|p| p.as_ref().to_owned())\\n\",\n \"file_path\": \"bfffs/src/common/pool.rs\",\n \"rank\": 98,\n \"score\": 57.88022602307677\n },\n {\n \"content\": \" #[cfg(not(test))]\\n\\n pub fn dump(&self, f: &mut dyn io::Write, tree: TreeID) -> Result<(), Error>\\n\\n {\\n\\n let mut rt = current_thread::Runtime::new().unwrap();\\n\\n rt.block_on(future::lazy(|| {\\n\\n Inner::open_filesystem(&self.inner, tree)\\n\\n })).unwrap();\\n\\n self.inner.fs_trees.try_lock()\\n\\n .map_err(|_| Error::EDEADLK)\\n\\n .map(|guard| {\\n\\n guard.get(&tree).unwrap()\\n\\n .dump(f).unwrap();\\n\\n })\\n\\n }\\n\\n\\n\\n /// Get the value of the `name` property for the dataset identified by\\n\\n /// `tree`.\\n\\n pub fn get_prop(&self, tree_id: TreeID, name: PropertyName)\\n\\n -> impl Future + Send\\n\\n {\\n\",\n \"file_path\": \"bfffs/src/common/database/database.rs\",\n \"rank\": 99,\n \"score\": 57.70064648502797\n }\n]"}}},{"rowIdx":1889,"cells":{"lang":{"kind":"string","value":"Rust"},"file_path":{"kind":"string","value":"src/lib.rs"},"repo_name":{"kind":"string","value":"aki-akaguma/cmp_polymorphism"},"commit":{"kind":"string","value":"67da07762a02dee2aac7d3033d2b312fb2a1fedc"},"file_code":{"kind":"string","value":"pub mod enum_obj;\npub mod trait_obj;\n\npub fn do_trait_obj(\n count: i32,\n) -> anyhow::Result<(\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n)> {\n let a: Box = Box::new(trait_obj::Cat::new(count));\n let b: Box = Box::new(trait_obj::Dog::new(count, count + 1));\n let c: Box = Box::new(trait_obj::Duck::new(count, count + 1, count + 2));\n let d: Box =\n Box::new(trait_obj::Crow::new(count, count + 1, count + 2, count + 3));\n let e: Box = Box::new(trait_obj::Frog::new(\n count,\n count + 1,\n count + 2,\n count + 3,\n count + 4,\n ));\n Ok((\n (a.talk(), a.sum()),\n (b.talk(), b.sum()),\n (c.talk(), c.sum()),\n (d.talk(), d.sum()),\n (e.talk(), e.sum()),\n ))\n}\n\npub fn do_enum_obj(\n count: i32,\n) -> anyhow::Result<(\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n)> {\n let a: Box = Box::new(enum_obj::Animal::Cat(count));\n let b: Box = Box::new(enum_obj::Animal::Dog(count, count + 1));\n let c: Box = Box::new(enum_obj::Animal::Duck(count, count + 1, count + 2));\n let d: Box = Box::new(enum_obj::Animal::Crow(\n count,\n count + 1,\n count + 2,\n count + 3,\n ));\n let e: Box = Box::new(enum_obj::Animal::Frog(\n count,\n count + 1,\n count + 2,\n count + 3,\n count + 4,\n ));\n Ok((\n (a.talk(), a.sum()),\n (b.talk(), b.sum()),\n (c.talk(), c.sum()),\n (d.talk(), d.sum()),\n (e.talk(), e.sum()),\n ))\n}\n\npub fn create_trait_objs(count: usize) -> Vec> {\n let v: Vec> = vec![\n Box::new(trait_obj::Cat::new(1)) as Box,\n Box::new(trait_obj::Dog::new(1, 2)) as Box,\n Box::new(trait_obj::Duck::new(1, 2, 3)) as Box,\n Box::new(trait_obj::Crow::new(1, 2, 3, 4)) as Box,\n Box::new(trait_obj::Frog::new(1, 2, 3, 4, 5)) as Box,\n ]\n .into_iter()\n .cycle()\n .take(count)\n .collect();\n v\n}\npub fn sum_id_trait_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.animal_id();\n }\n acc\n}\npub fn sum_sum_trait_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.sum();\n }\n acc\n}\npub fn sum_rem_trait_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.rem();\n }\n acc\n}\n\npub fn create_enum_objs(count: usize) -> Vec> {\n let v: Vec> = vec![\n Box::new(enum_obj::Animal::Cat(1)) as Box,\n Box::new(enum_obj::Animal::Dog(1, 2)) as Box,\n Box::new(enum_obj::Animal::Duck(1, 2, 3)) as Box,\n Box::new(enum_obj::Animal::Crow(1, 2, 3, 4)) as Box,\n Box::new(enum_obj::Animal::Frog(1, 2, 3, 4, 5)) as Box,\n ]\n .into_iter()\n .cycle()\n .take(count)\n .collect();\n v\n}\npub fn sum_id_enum_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.animal_id();\n }\n acc\n}\npub fn sum_sum_enum_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.sum();\n }\n acc\n}\npub fn sum_rem_enum_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.rem();\n }\n acc\n}\n"},"prefix":{"kind":"string","value":"pub mod enum_obj;\npub mod trait_obj;\n\npub fn do_trait_obj(\n count: i32,\n) -> anyhow::Result<(\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n)> {\n let a: Box = Box::new(trait_obj::Cat::new(count));\n let b: Box = Box::new(trait_obj::Dog::new(count, count + 1));\n let c: Box = Box::new(trait_obj::Duck::new(count, count + 1, count + 2));\n let d: Box =\n Box::new(trait_obj::Crow::new(count, count + 1, count + 2, count + 3));\n let e: Box = Box::new(trait_obj::Frog::new(\n count,\n count + 1,\n count + 2,\n count + 3,\n count + 4,\n ));\n Ok((\n (a.talk(), a.sum()),\n (b.talk(), b.sum()),\n (c.talk(), c.sum()),\n (d.talk(), d.sum()),\n (e.talk(), e.sum()),\n ))\n}\n\npub fn do_enum_obj(\n count: i32,\n) -> anyhow::Result<(\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n (&'static str, i32),\n)> {\n let a: Box = Box::new(enum_obj::Animal::Cat(count));\n let b: Box = Box::new(enum_obj::Animal::Dog(count, count + 1));\n let c: Box = Box::new(enum_obj::Animal::Duck(count, count + 1, count + 2));\n let d: Box = Box::new(enum_obj::Animal::Crow(\n count,\n count + 1,\n count + 2,\n count + 3,\n ));\n let e: Box = Box::new(enum_obj::Animal::Frog(\n count,\n count + 1,\n count + 2,\n count + 3,\n count + 4,\n ));\n Ok((\n (a.talk(), a.sum()),\n (b.talk(), b.sum()),\n (c.talk(), c.sum()),\n (d.talk(), d.sum()),\n (e.talk(), e.sum()),\n ))\n}\n\npub fn create_trait_objs(count: usize) -> Vec> {\n let v: Vec> = vec![\n Box::new(trait_obj::Cat::new(1)) as Box,\n Box::new(trait_obj::Dog::new(1, 2)) as Box,\n Box::new(trait_obj::Duck::new(1, 2, 3)) as Box,\n Box::new(trait_obj::Crow::new(1, 2, 3, 4)) as Box,\n Box::new(trait_obj::Frog::new(1, 2, 3, 4, 5)) as Box,\n ]\n .into_iter()\n .cycle()\n .take(count)\n .collect();\n v\n}\npub fn sum_id_trait_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.animal_id();\n }\n acc\n}\npub fn sum_sum_t"},"suffix":{"kind":"string","value":"\npub fn sum_rem_trait_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.rem();\n }\n acc\n}\n\npub fn create_enum_objs(count: usize) -> Vec> {\n let v: Vec> = vec![\n Box::new(enum_obj::Animal::Cat(1)) as Box,\n Box::new(enum_obj::Animal::Dog(1, 2)) as Box,\n Box::new(enum_obj::Animal::Duck(1, 2, 3)) as Box,\n Box::new(enum_obj::Animal::Crow(1, 2, 3, 4)) as Box,\n Box::new(enum_obj::Animal::Frog(1, 2, 3, 4, 5)) as Box,\n ]\n .into_iter()\n .cycle()\n .take(count)\n .collect();\n v\n}\npub fn sum_id_enum_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.animal_id();\n }\n acc\n}\npub fn sum_sum_enum_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.sum();\n }\n acc\n}\npub fn sum_rem_enum_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.rem();\n }\n acc\n}\n"},"middle":{"kind":"string","value":"rait_objs(vec: &Vec>) -> i32 {\n let mut acc = 0;\n for a in vec {\n acc += a.sum();\n }\n acc\n}"},"strategy":{"kind":"string","value":"function_block-function_prefixed"},"context_items":{"kind":"list like","value":[{"content":"fn set_size(bench_vec: &mut Vec, in_file: &str) -> anyhow::Result<()> {\n\n let mut base_time = 0f64;\n\n let mut base_size = 0u64;\n\n let re_1 = regex::Regex::new(r\"^ *(\\d+)\\t.*\\t([^ ]+)$\").unwrap();\n\n let reader = std::io::BufReader::new(\n\n std::fs::File::open(in_file)\n\n .with_context(|| format!(\"could not open file `{}`\", in_file))?,\n\n );\n\n for line in reader.lines() {\n\n let line = line?;\n\n if let Some(caps) = re_1.captures(&line) {\n\n // 934281\t 26312\t 736\t 961329\t eab31\tcmp_structopt-curl\n\n let size_s = &caps[1];\n\n let name_s = &caps[2];\n\n let name = if name_s.ends_with(\"-curl\") {\n\n &name_s[0..(name_s.len() - 5)]\n\n } else {\n\n name_s\n\n };\n\n let i = match bench_vec.iter().position(|x| x.name == name) {\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":8,"score":105882.19459231685},{"content":"fn criterion_benchmark(c: &mut Criterion) {\n\n match process_one(criterion::black_box(criterion::black_box(10))) {\n\n Ok(((ct, cn), (dt, dn), (ut, un), (rt, rn), (gt, gn))) => {\n\n assert_eq!(ct, \"Meow!\");\n\n assert_eq!(cn, 10);\n\n assert_eq!(dt, \"Woof!\");\n\n assert_eq!(dn, 10 + 10 + 1);\n\n assert_eq!(ut, \"Quack!\");\n\n assert_eq!(un, 10 + 10 + 1 + 10 + 2);\n\n assert_eq!(rt, \"Caw!\");\n\n assert_eq!(rn, 10 + 10 + 1 + 10 + 2 + 10 + 3);\n\n assert_eq!(gt, \"Croak!\");\n\n assert_eq!(gn, 10 + 10 + 1 + 10 + 2 + 10 + 3 + 10 + 4);\n\n }\n\n Err(err) => {\n\n eprintln!(\"{}\", err);\n\n unreachable!();\n\n }\n\n }\n\n //\n","file_path":"benches/bench-trait-obj.rs","rank":9,"score":85343.53600622079},{"content":"fn criterion_benchmark(c: &mut Criterion) {\n\n match process_one(criterion::black_box(criterion::black_box(10))) {\n\n Ok(((ct, cn), (dt, dn), (ut, un), (rt, rn), (gt, gn))) => {\n\n assert_eq!(ct, \"Meow!\");\n\n assert_eq!(cn, 10);\n\n assert_eq!(dt, \"Woof!\");\n\n assert_eq!(dn, 10 + 10 + 1);\n\n assert_eq!(ut, \"Quack!\");\n\n assert_eq!(un, 10 + 10 + 1 + 10 + 2);\n\n assert_eq!(rt, \"Caw!\");\n\n assert_eq!(rn, 10 + 10 + 1 + 10 + 2 + 10 + 3);\n\n assert_eq!(gt, \"Croak!\");\n\n assert_eq!(gn, 10 + 10 + 1 + 10 + 2 + 10 + 3 + 10 + 4);\n\n }\n\n Err(err) => {\n\n eprintln!(\"{}\", err);\n\n unreachable!();\n\n }\n\n }\n\n //\n","file_path":"benches/bench-enum-obj.rs","rank":10,"score":85343.53600622079},{"content":"pub fn run(_program: &str, _args: &[&str]) -> anyhow::Result<()> {\n\n let mut bench_vec = get_bench(\"z.bench.log\")?;\n\n //set_size(&mut bench_vec, \"z.size-release.curl.log\")?;\n\n output(bench_vec)?;\n\n //\n\n //let mut bench_vec = get_bench(\"z.bench-release-s.curl.log\")?;\n\n //set_size(&mut bench_vec, \"z.size-release.curl.log\")?;\n\n //output(bench_vec)?;\n\n //\n\n Ok(())\n\n}\n\n\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":11,"score":84442.71275346605},{"content":"fn get_bench(in_file: &str) -> anyhow::Result> {\n\n let mut vec_benchstr: Vec = Vec::new();\n\n //\n\n let re_1 =\n\n regex::Regex::new(r\"^([^ ]+) +time: +[\\[][^ ]+ [^ ]+ ([^ ]+) ([^ ]+) [^ ]+ [^ ]+[\\]]$\")\n\n .unwrap();\n\n //\n\n let reader = std::io::BufReader::new(\n\n std::fs::File::open(in_file)\n\n .with_context(|| format!(\"could not open file `{}`\", in_file))?,\n\n );\n\n for line in reader.lines() {\n\n let line = line?;\n\n if let Some(caps) = re_1.captures(&line) {\n\n // cmp_structopt::curl:: time: [302.50 us 302.87 us 303.34 us]\n\n // cmp_structopt::curl:: time: [714991.6559 cycles 715483.2743 cycles 716029.3928 cycles]\n\n let nm = normalize_name(&caps[1])?;\n\n let tm = normalize_time(&caps[2], &caps[3])?;\n\n let is_cycle = if &caps[3] == \"cycles\" { true } else { false };\n\n let time_1k = if nm.ends_with(\"^01k\") {\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":14,"score":79728.10817275239},{"content":"fn output(bench_vec: Vec) -> anyhow::Result<()> {\n\n println!(\n\n \"| {:^22} | {:^11} | {:^11} |\",\n\n \"`name`\", \"`bench`\", \"`per 1k`\"\n\n );\n\n println!(\n\n \"|:{:<22}-|-{:>11}:|-{:>11}:|\",\n\n \"-\".repeat(22),\n\n \"-\".repeat(11),\n\n \"-\".repeat(11),\n\n );\n\n for bench in bench_vec {\n\n if bench.is_cycle {\n\n println!(\n\n \"| {:<22} | {:>8.3} kc | {:>8.3} kc |\",\n\n bench.name,\n\n bench.time / 1000.0,\n\n bench.time_1k / 1000.0,\n\n );\n\n } else {\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":15,"score":69241.38423055966},{"content":"fn print_version_and_exit(_program: &str) {\n\n println!(\"{} {}\", env!(\"CARGO_PKG_NAME\"), env!(\"CARGO_PKG_VERSION\"));\n\n std::process::exit(0);\n\n}\n\n\n","file_path":"xtask/src/main.rs","rank":16,"score":57828.66545381921},{"content":"fn print_help_and_exit(program: &str) {\n\n println!(\n\n \"[usage] {} {{ {} }}\",\n\n program,\n\n concat!(\"shape_benchmark_results\",)\n\n );\n\n std::process::exit(0);\n\n}\n","file_path":"xtask/src/main.rs","rank":17,"score":57828.66545381921},{"content":"fn normalize_time(num_s: &str, unit_s: &str) -> anyhow::Result {\n\n let num: f64 = num_s.parse::()?;\n\n let unit: f64 = match unit_s {\n\n \"ms\" => 0.001,\n\n \"us\" => 0.000001,\n\n \"ns\" => 0.000000001,\n\n \"ps\" => 0.000000000001,\n\n \"cycles\" => 1.0,\n\n _ => {\n\n let msg = format!(\"can not convert unit: {}\", unit_s);\n\n return Err(anyhow::Error::msg(msg));\n\n }\n\n };\n\n Ok(num * unit)\n\n}\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":18,"score":57146.21500195896},{"content":"fn normalize_name(name_s: &str) -> anyhow::Result {\n\n Ok(name_s.to_string())\n\n}\n\n\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":19,"score":49130.663139446566},{"content":"pub trait Animal {\n\n fn animal_id(&self) -> i32;\n\n fn talk(&self) -> &'static str;\n\n fn sum(&self) -> i32;\n\n fn rem(&self) -> i32;\n\n fn box_clone(&self) -> Box;\n\n}\n\nimpl Clone for Box {\n\n fn clone(&self) -> Box {\n\n self.box_clone()\n\n }\n\n}\n\n\n\n#[derive(Clone)]\n\npub struct Cat(i32);\n\n#[derive(Clone)]\n\npub struct Dog(i32, i32);\n\n#[derive(Clone)]\n\npub struct Duck(i32, i32, i32);\n\n#[derive(Clone)]\n","file_path":"src/trait_obj.rs","rank":20,"score":36841.14832373393},{"content":"fn main() {\n\n let vec = cmp_polymorphism::create_enum_objs(1000000);\n\n let r1 = {\n\n let mut r = 0;\n\n for _i in 0..100 {\n\n let rr = cmp_polymorphism::sum_id_enum_objs(&vec);\n\n r += rr;\n\n }\n\n r\n\n };\n\n let r2 = {\n\n let mut r = 0;\n\n for _i in 0..100 {\n\n let rr = cmp_polymorphism::sum_sum_enum_objs(&vec);\n\n r += rr;\n\n }\n\n r\n\n };\n\n let r3 = {\n\n let mut r = 0;\n\n for _i in 0..100 {\n\n let rr = cmp_polymorphism::sum_rem_enum_objs(&vec);\n\n r += rr;\n\n }\n\n r\n\n };\n\n println!(\"{},{},{}\", r1, r2, r3);\n\n}\n","file_path":"src/bin-enum-obj.rs","rank":21,"score":25774.02168678796},{"content":"fn main() {\n\n let vec = cmp_polymorphism::create_trait_objs(1000000);\n\n let r1 = {\n\n let mut r = 0;\n\n for _i in 0..100 {\n\n let rr = cmp_polymorphism::sum_id_trait_objs(&vec);\n\n r += rr;\n\n }\n\n r\n\n };\n\n let r2 = {\n\n let mut r = 0;\n\n for _i in 0..100 {\n\n let rr = cmp_polymorphism::sum_sum_trait_objs(&vec);\n\n r += rr;\n\n }\n\n r\n\n };\n\n let r3 = {\n\n let mut r = 0;\n\n for _i in 0..100 {\n\n let rr = cmp_polymorphism::sum_rem_trait_objs(&vec);\n\n r += rr;\n\n }\n\n r\n\n };\n\n println!(\"{},{},{}\", r1, r2, r3);\n\n}\n","file_path":"src/bin-trait-obj.rs","rank":22,"score":25774.02168678796},{"content":"fn process_one(\n\n count: i32,\n\n) -> anyhow::Result<(\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n)> {\n\n cmp_polymorphism::do_enum_obj(count)\n\n}\n\n\n","file_path":"benches/bench-enum-obj.rs","rank":23,"score":25010.906212291877},{"content":"fn process_one(\n\n count: i32,\n\n) -> anyhow::Result<(\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n (&'static str, i32),\n\n)> {\n\n cmp_polymorphism::do_trait_obj(count)\n\n}\n\n\n","file_path":"benches/bench-trait-obj.rs","rank":24,"score":25010.906212291877},{"content":"fn main() -> anyhow::Result<()> {\n\n let mut env_args: Vec = std::env::args().collect();\n\n let program = env_args.remove(0);\n\n if env_args.is_empty() {\n\n print_help_and_exit(&program);\n\n }\n\n let cmd = env_args[0].as_str();\n\n let program = &program;\n\n let env_args: Vec<&str> = env_args[1..].iter().map(|s| s.as_str()).collect();\n\n #[rustfmt::skip]\n\n match cmd {\n\n \"shape_benchmark_results\" => shape_benchmark_results::run(&format!(\"{} {}\", program, cmd), &env_args)?,\n\n //\n\n \"--help\" | \"-h\" | \"-H\" | \"help\" => print_help_and_exit(program),\n\n \"--version\" | \"-V\" | \"-v\" => print_version_and_exit(program),\n\n _ => {\n\n eprintln!(\"Not fount command: {}\", cmd);\n\n unreachable!()\n\n }\n\n };\n\n //\n\n Ok(())\n\n}\n\n\n","file_path":"xtask/src/main.rs","rank":25,"score":23974.930842652007},{"content":" pub fn new(a: i32, b: i32, c: i32, d: i32) -> Self {\n\n Self(a, b, c, d)\n\n }\n\n}\n\nimpl Frog {\n\n pub fn new(a: i32, b: i32, c: i32, d: i32, e: i32) -> Self {\n\n Self(a, b, c, d, e)\n\n }\n\n}\n\n\n\nimpl Animal for Cat {\n\n fn animal_id(&self) -> i32 {\n\n 1\n\n }\n\n fn talk(&self) -> &'static str {\n\n \"Meow!\"\n\n }\n\n fn sum(&self) -> i32 {\n\n self.0\n\n }\n","file_path":"src/trait_obj.rs","rank":26,"score":6.636125100442468},{"content":"#[derive(Clone)]\n\npub enum Animal {\n\n Cat(i32),\n\n Dog(i32, i32),\n\n Duck(i32, i32, i32),\n\n Crow(i32, i32, i32, i32),\n\n Frog(i32, i32, i32, i32, i32),\n\n}\n\nimpl Animal {\n\n pub fn animal_id(&self) -> i32 {\n\n match self {\n\n Animal::Cat(_a) => 1,\n\n Animal::Dog(_a, _b) => 2,\n\n Animal::Duck(_a, _b, _c) => 3,\n\n Animal::Crow(_a, _b, _c, _d) => 4,\n\n Animal::Frog(_a, _b, _c, _d, _e) => 5,\n\n }\n\n }\n\n pub fn talk(&self) -> &'static str {\n\n match self {\n","file_path":"src/enum_obj.rs","rank":27,"score":6.235879831798293},{"content":" tm\n\n } else if nm.ends_with(\"^08k\") {\n\n tm / 8.0\n\n } else if nm.ends_with(\"^90k\") {\n\n tm / 90.0\n\n } else {\n\n 0.0\n\n };\n\n //\n\n vec_benchstr.push(BenchStr {\n\n name: nm,\n\n time: tm,\n\n is_cycle: is_cycle,\n\n time_1k: time_1k,\n\n ..BenchStr::default()\n\n });\n\n }\n\n }\n\n //vec_benchstr.sort_by(|a, b| a.time.partial_cmp(&b.time).unwrap());\n\n vec_benchstr.sort_by(|a, b| a.name.partial_cmp(&b.name).unwrap());\n\n //\n\n Ok(vec_benchstr)\n\n}\n\n\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":28,"score":5.944899549783823},{"content":" println!(\n\n \"| {:<22} | {:>8.3} uc | {:>8.3} uc |\",\n\n bench.name,\n\n bench.time / 0.000001,\n\n bench.time_1k / 0.000001,\n\n );\n\n }\n\n }\n\n //\n\n Ok(())\n\n}\n\n\n\n#[rustfmt::skip]\n\n#[derive(Default)]\n\npub struct BenchStr {\n\n pub name: String, // name\n\n pub time: f64, // seconds\n\n pub is_cycle: bool, // cycles\n\n pub time_1k: f64, // seconds per 1k\n\n pub size: u64, // bytes\n\n pub oh_time: f64, // seconds\n\n pub oh_size: u64, // bytes\n\n}\n\n\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":29,"score":5.567756273908203},{"content":" 5\n\n }\n\n fn talk(&self) -> &'static str {\n\n \"Croak!\"\n\n }\n\n fn sum(&self) -> i32 {\n\n self.0 + self.1 + self.2 + self.3 + self.4\n\n }\n\n fn rem(&self) -> i32 {\n\n self.4 % self.3\n\n }\n\n fn box_clone(&self) -> Box {\n\n Box::new(self.clone())\n\n }\n\n}\n","file_path":"src/trait_obj.rs","rank":30,"score":5.086810967314524},{"content":"pub struct Crow(i32, i32, i32, i32);\n\n#[derive(Clone)]\n\npub struct Frog(i32, i32, i32, i32, i32);\n\n\n\nimpl Cat {\n\n pub fn new(a: i32) -> Self {\n\n Self(a)\n\n }\n\n}\n\nimpl Dog {\n\n pub fn new(a: i32, b: i32) -> Self {\n\n Self(a, b)\n\n }\n\n}\n\nimpl Duck {\n\n pub fn new(a: i32, b: i32, c: i32) -> Self {\n\n Self(a, b, c)\n\n }\n\n}\n\nimpl Crow {\n","file_path":"src/trait_obj.rs","rank":32,"score":4.923498767598399},{"content":" fn rem(&self) -> i32 {\n\n self.0\n\n }\n\n fn box_clone(&self) -> Box {\n\n Box::new(self.clone())\n\n }\n\n}\n\nimpl Animal for Dog {\n\n fn animal_id(&self) -> i32 {\n\n 2\n\n }\n\n fn talk(&self) -> &'static str {\n\n \"Woof!\"\n\n }\n\n fn sum(&self) -> i32 {\n\n self.0 + self.1\n\n }\n\n fn rem(&self) -> i32 {\n\n self.1 % self.0\n\n }\n","file_path":"src/trait_obj.rs","rank":33,"score":4.860813803158159},{"content":"}\n\nimpl Animal for Crow {\n\n fn animal_id(&self) -> i32 {\n\n 4\n\n }\n\n fn talk(&self) -> &'static str {\n\n \"Caw!\"\n\n }\n\n fn sum(&self) -> i32 {\n\n self.0 + self.1 + self.2 + self.3\n\n }\n\n fn rem(&self) -> i32 {\n\n self.3 % self.2\n\n }\n\n fn box_clone(&self) -> Box {\n\n Box::new(self.clone())\n\n }\n\n}\n\nimpl Animal for Frog {\n\n fn animal_id(&self) -> i32 {\n","file_path":"src/trait_obj.rs","rank":34,"score":4.593183347376522},{"content":" fn box_clone(&self) -> Box {\n\n Box::new(self.clone())\n\n }\n\n}\n\nimpl Animal for Duck {\n\n fn animal_id(&self) -> i32 {\n\n 3\n\n }\n\n fn talk(&self) -> &'static str {\n\n \"Quack!\"\n\n }\n\n fn sum(&self) -> i32 {\n\n self.0 + self.1 + self.2\n\n }\n\n fn rem(&self) -> i32 {\n\n self.2 % self.1\n\n }\n\n fn box_clone(&self) -> Box {\n\n Box::new(self.clone())\n\n }\n","file_path":"src/trait_obj.rs","rank":36,"score":4.269575373970424},{"content":" Animal::Cat(_a) => \"Meow!\",\n\n Animal::Dog(_a, _b) => \"Woof!\",\n\n Animal::Duck(_a, _b, _c) => \"Quack!\",\n\n Animal::Crow(_a, _b, _c, _d) => \"Caw!\",\n\n Animal::Frog(_a, _b, _c, _d, _e) => \"Croak!\",\n\n }\n\n }\n\n pub fn sum(&self) -> i32 {\n\n match self {\n\n Animal::Cat(a) => *a,\n\n Animal::Dog(a, b) => a + b,\n\n Animal::Duck(a, b, c) => a + b + c,\n\n Animal::Crow(a, b, c, d) => a + b + c + d,\n\n Animal::Frog(a, b, c, d, e) => a + b + c + d + e,\n\n }\n\n }\n\n pub fn rem(&self) -> i32 {\n\n match self {\n\n Animal::Cat(a) => *a,\n\n Animal::Dog(a, b) => b % a,\n\n Animal::Duck(_a, b, c) => c % b,\n\n Animal::Crow(_a, _b, c, d) => d % c,\n\n Animal::Frog(_a, _b, _c, d, e) => e % d,\n\n }\n\n }\n\n}\n","file_path":"src/enum_obj.rs","rank":37,"score":2.886264532653559},{"content":" Some(i) => i,\n\n None => {\n\n let msg = format!(\"can not find size: {}\", name);\n\n return Err(anyhow::Error::msg(msg));\n\n }\n\n };\n\n bench_vec[i].size = size_s.parse::()?;\n\n if name == \"cmp_null_void\" {\n\n base_time = bench_vec[i].time;\n\n base_size = bench_vec[i].size;\n\n }\n\n }\n\n }\n\n //\n\n for bench in bench_vec {\n\n bench.oh_time = bench.time - base_time;\n\n bench.oh_size = bench.size - base_size;\n\n }\n\n //\n\n Ok(())\n\n}\n\n\n","file_path":"xtask/src/shape_benchmark_results.rs","rank":38,"score":2.685443077690263},{"content":"| trait_obj^vec^sum^90k | 1203.361 kc | 13.371 kc |\n\n\n\nrustc 1.52.0 (88f19c6da 2021-05-03)\n\n| `name` | `bench` | `per 1k` |\n\n|:-----------------------|------------:|------------:|\n\n| enum_obj^ | 0.024 kc | 0.000 kc |\n\n| enum_obj^vec^id^01k | 4.425 kc | 4.425 kc |\n\n| enum_obj^vec^id^08k | 35.634 kc | 4.454 kc |\n\n| enum_obj^vec^id^90k | 583.796 kc | 6.487 kc |\n\n| enum_obj^vec^rem^01k | 11.453 kc | 11.453 kc |\n\n| enum_obj^vec^rem^08k | 90.914 kc | 11.364 kc |\n\n| enum_obj^vec^rem^90k | 1182.439 kc | 13.138 kc |\n\n| enum_obj^vec^sum^01k | 10.670 kc | 10.670 kc |\n\n| enum_obj^vec^sum^08k | 79.980 kc | 9.998 kc |\n\n| enum_obj^vec^sum^90k | 900.310 kc | 10.003 kc |\n\n| trait_obj^ | 0.024 kc | 0.000 kc |\n\n| trait_obj^vec^id^01k | 6.062 kc | 6.062 kc |\n\n| trait_obj^vec^id^08k | 48.345 kc | 6.043 kc |\n\n| trait_obj^vec^id^90k | 546.009 kc | 6.067 kc |\n\n| trait_obj^vec^rem^01k | 10.162 kc | 10.162 kc |\n\n| trait_obj^vec^rem^08k | 80.179 kc | 10.022 kc |\n\n| trait_obj^vec^rem^90k | 1280.631 kc | 14.229 kc |\n\n| trait_obj^vec^sum^01k | 8.413 kc | 8.413 kc |\n\n| trait_obj^vec^sum^08k | 66.099 kc | 8.262 kc |\n\n| trait_obj^vec^sum^90k | 1182.313 kc | 13.137 kc |\n","file_path":"README.md","rank":39,"score":2.2634725716355213},{"content":"rustc 1.53.0 (53cb7b09b 2021-06-17)\n\n| `name` | `bench` | `per 1k` |\n\n|:-----------------------|------------:|------------:|\n\n| enum_obj^ | 0.024 kc | 0.000 kc |\n\n| enum_obj^vec^id^01k | 4.358 kc | 4.358 kc |\n\n| enum_obj^vec^id^08k | 35.195 kc | 4.399 kc |\n\n| enum_obj^vec^id^90k | 604.227 kc | 6.714 kc |\n\n| enum_obj^vec^rem^01k | 11.488 kc | 11.488 kc |\n\n| enum_obj^vec^rem^08k | 91.363 kc | 11.420 kc |\n\n| enum_obj^vec^rem^90k | 1198.158 kc | 13.313 kc |\n\n| enum_obj^vec^sum^01k | 10.501 kc | 10.501 kc |\n\n| enum_obj^vec^sum^08k | 60.464 kc | 7.558 kc |\n\n| enum_obj^vec^sum^90k | 930.674 kc | 10.341 kc |\n\n| trait_obj^ | 0.024 kc | 0.000 kc |\n\n| trait_obj^vec^id^01k | 7.092 kc | 7.092 kc |\n\n| trait_obj^vec^id^08k | 56.413 kc | 7.052 kc |\n\n| trait_obj^vec^id^90k | 637.158 kc | 7.080 kc |\n\n| trait_obj^vec^rem^01k | 10.077 kc | 10.077 kc |\n\n| trait_obj^vec^rem^08k | 80.625 kc | 10.078 kc |\n\n| trait_obj^vec^rem^90k | 1364.740 kc | 15.164 kc |\n\n| trait_obj^vec^sum^01k | 8.369 kc | 8.369 kc |\n\n| trait_obj^vec^sum^08k | 66.302 kc | 8.288 kc |\n","file_path":"README.md","rank":40,"score":2.2634725716355213},{"content":" let _r = cmp_polymorphism::sum_rem_enum_objs(&vec);\n\n })\n\n });\n\n }\n\n //\n\n {\n\n let vec = cmp_polymorphism::create_enum_objs(criterion::black_box(8000));\n\n c.bench_function(\"enum_obj^vec^id^08k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_id_enum_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"enum_obj^vec^sum^08k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_sum_enum_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"enum_obj^vec^rem^08k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_rem_enum_objs(&vec);\n","file_path":"benches/bench-enum-obj.rs","rank":41,"score":2.2168329489648326},{"content":" })\n\n });\n\n }\n\n //\n\n {\n\n let vec = cmp_polymorphism::create_enum_objs(criterion::black_box(90000));\n\n c.bench_function(\"enum_obj^vec^id^90k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_id_enum_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"enum_obj^vec^sum^90k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_sum_enum_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"enum_obj^vec^rem^90k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_rem_enum_objs(&vec);\n\n })\n","file_path":"benches/bench-enum-obj.rs","rank":42,"score":2.209626980966557},{"content":" let _r = cmp_polymorphism::sum_rem_trait_objs(&vec);\n\n })\n\n });\n\n }\n\n //\n\n {\n\n let vec = cmp_polymorphism::create_trait_objs(criterion::black_box(8000));\n\n c.bench_function(\"trait_obj^vec^id^08k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_id_trait_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"trait_obj^vec^sum^08k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_sum_trait_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"trait_obj^vec^rem^08k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_rem_trait_objs(&vec);\n","file_path":"benches/bench-trait-obj.rs","rank":43,"score":2.18758474984341},{"content":" })\n\n });\n\n }\n\n //\n\n {\n\n let vec = cmp_polymorphism::create_trait_objs(criterion::black_box(90000));\n\n c.bench_function(\"trait_obj^vec^id^90k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_id_trait_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"trait_obj^vec^sum^90k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_sum_trait_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"trait_obj^vec^rem^90k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_rem_trait_objs(&vec);\n\n })\n","file_path":"benches/bench-trait-obj.rs","rank":44,"score":2.176478279198126},{"content":"use criterion::{criterion_group, criterion_main, Criterion};\n\nuse criterion_cycles_per_byte::CyclesPerByte;\n\n\n","file_path":"benches/bench-trait-obj.rs","rank":45,"score":2.1231756995416484},{"content":"use criterion::{criterion_group, criterion_main, Criterion};\n\nuse criterion_cycles_per_byte::CyclesPerByte;\n\n\n","file_path":"benches/bench-enum-obj.rs","rank":46,"score":2.1231756995416484},{"content":" c.bench_function(\"enum_obj^\", |b| {\n\n b.iter(|| {\n\n let _r = process_one(criterion::black_box(10));\n\n })\n\n });\n\n //\n\n {\n\n let vec = cmp_polymorphism::create_enum_objs(criterion::black_box(1000));\n\n c.bench_function(\"enum_obj^vec^id^01k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_id_enum_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"enum_obj^vec^sum^01k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_sum_enum_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"enum_obj^vec^rem^01k\", |b| {\n\n b.iter(|| {\n","file_path":"benches/bench-enum-obj.rs","rank":47,"score":2.0892040095068207},{"content":" c.bench_function(\"trait_obj^\", |b| {\n\n b.iter(|| {\n\n let _r = process_one(criterion::black_box(10));\n\n })\n\n });\n\n //\n\n {\n\n let vec = cmp_polymorphism::create_trait_objs(criterion::black_box(1000));\n\n c.bench_function(\"trait_obj^vec^id^01k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_id_trait_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"trait_obj^vec^sum^01k\", |b| {\n\n b.iter(|| {\n\n let _r = cmp_polymorphism::sum_sum_trait_objs(&vec);\n\n })\n\n });\n\n c.bench_function(\"trait_obj^vec^rem^01k\", |b| {\n\n b.iter(|| {\n","file_path":"benches/bench-trait-obj.rs","rank":48,"score":2.043429957810487},{"content":"//\n\n// ref)\n\n// https://github.com/matklad/cargo-xtask\n\n//\n\nmod shape_benchmark_results;\n\n\n","file_path":"xtask/src/main.rs","rank":49,"score":1.8147130784616143},{"content":" });\n\n }\n\n}\n\n\n\ncriterion_group!(\n\n name = benches;\n\n config = Criterion::default().with_measurement(CyclesPerByte)\n\n .warm_up_time(std::time::Duration::from_millis(300))\n\n .measurement_time(std::time::Duration::from_millis(1500));\n\n targets = criterion_benchmark);\n\ncriterion_main!(benches);\n","file_path":"benches/bench-enum-obj.rs","rank":50,"score":1.1840814788046088},{"content":" });\n\n }\n\n}\n\n\n\ncriterion_group!(\n\n name = benches;\n\n config = Criterion::default().with_measurement(CyclesPerByte)\n\n .warm_up_time(std::time::Duration::from_millis(300))\n\n .measurement_time(std::time::Duration::from_millis(1500));\n\n targets = criterion_benchmark);\n\ncriterion_main!(benches);\n","file_path":"benches/bench-trait-obj.rs","rank":51,"score":1.1840814788046088},{"content":"mod test {\n\n use cmp_polymorphism::enum_obj;\n\n use cmp_polymorphism::trait_obj;\n\n //\n\n #[test]\n\n fn test_size() {\n\n assert_eq!(std::mem::size_of::(), 24);\n\n assert_eq!(std::mem::size_of::(), 4);\n\n assert_eq!(std::mem::size_of::(), 8);\n\n assert_eq!(std::mem::size_of::(), 12);\n\n assert_eq!(std::mem::size_of::(), 16);\n\n assert_eq!(std::mem::size_of::(), 20);\n\n //\n\n assert_eq!(std::mem::size_of::>(), 8);\n\n assert_eq!(std::mem::size_of::>(), 16);\n\n assert_eq!(std::mem::size_of::>(), 8);\n\n assert_eq!(std::mem::size_of::>(), 8);\n\n assert_eq!(std::mem::size_of::>(), 8);\n\n assert_eq!(std::mem::size_of::>(), 8);\n\n assert_eq!(std::mem::size_of::>(), 8);\n\n }\n\n}\n","file_path":"tests/test.rs","rank":52,"score":0.45243922997937025}],"string":"[\n {\n \"content\": \"fn set_size(bench_vec: &mut Vec, in_file: &str) -> anyhow::Result<()> {\\n\\n let mut base_time = 0f64;\\n\\n let mut base_size = 0u64;\\n\\n let re_1 = regex::Regex::new(r\\\"^ *(\\\\d+)\\\\t.*\\\\t([^ ]+)$\\\").unwrap();\\n\\n let reader = std::io::BufReader::new(\\n\\n std::fs::File::open(in_file)\\n\\n .with_context(|| format!(\\\"could not open file `{}`\\\", in_file))?,\\n\\n );\\n\\n for line in reader.lines() {\\n\\n let line = line?;\\n\\n if let Some(caps) = re_1.captures(&line) {\\n\\n // 934281\\t 26312\\t 736\\t 961329\\t eab31\\tcmp_structopt-curl\\n\\n let size_s = &caps[1];\\n\\n let name_s = &caps[2];\\n\\n let name = if name_s.ends_with(\\\"-curl\\\") {\\n\\n &name_s[0..(name_s.len() - 5)]\\n\\n } else {\\n\\n name_s\\n\\n };\\n\\n let i = match bench_vec.iter().position(|x| x.name == name) {\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 8,\n \"score\": 105882.19459231685\n },\n {\n \"content\": \"fn criterion_benchmark(c: &mut Criterion) {\\n\\n match process_one(criterion::black_box(criterion::black_box(10))) {\\n\\n Ok(((ct, cn), (dt, dn), (ut, un), (rt, rn), (gt, gn))) => {\\n\\n assert_eq!(ct, \\\"Meow!\\\");\\n\\n assert_eq!(cn, 10);\\n\\n assert_eq!(dt, \\\"Woof!\\\");\\n\\n assert_eq!(dn, 10 + 10 + 1);\\n\\n assert_eq!(ut, \\\"Quack!\\\");\\n\\n assert_eq!(un, 10 + 10 + 1 + 10 + 2);\\n\\n assert_eq!(rt, \\\"Caw!\\\");\\n\\n assert_eq!(rn, 10 + 10 + 1 + 10 + 2 + 10 + 3);\\n\\n assert_eq!(gt, \\\"Croak!\\\");\\n\\n assert_eq!(gn, 10 + 10 + 1 + 10 + 2 + 10 + 3 + 10 + 4);\\n\\n }\\n\\n Err(err) => {\\n\\n eprintln!(\\\"{}\\\", err);\\n\\n unreachable!();\\n\\n }\\n\\n }\\n\\n //\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 9,\n \"score\": 85343.53600622079\n },\n {\n \"content\": \"fn criterion_benchmark(c: &mut Criterion) {\\n\\n match process_one(criterion::black_box(criterion::black_box(10))) {\\n\\n Ok(((ct, cn), (dt, dn), (ut, un), (rt, rn), (gt, gn))) => {\\n\\n assert_eq!(ct, \\\"Meow!\\\");\\n\\n assert_eq!(cn, 10);\\n\\n assert_eq!(dt, \\\"Woof!\\\");\\n\\n assert_eq!(dn, 10 + 10 + 1);\\n\\n assert_eq!(ut, \\\"Quack!\\\");\\n\\n assert_eq!(un, 10 + 10 + 1 + 10 + 2);\\n\\n assert_eq!(rt, \\\"Caw!\\\");\\n\\n assert_eq!(rn, 10 + 10 + 1 + 10 + 2 + 10 + 3);\\n\\n assert_eq!(gt, \\\"Croak!\\\");\\n\\n assert_eq!(gn, 10 + 10 + 1 + 10 + 2 + 10 + 3 + 10 + 4);\\n\\n }\\n\\n Err(err) => {\\n\\n eprintln!(\\\"{}\\\", err);\\n\\n unreachable!();\\n\\n }\\n\\n }\\n\\n //\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 10,\n \"score\": 85343.53600622079\n },\n {\n \"content\": \"pub fn run(_program: &str, _args: &[&str]) -> anyhow::Result<()> {\\n\\n let mut bench_vec = get_bench(\\\"z.bench.log\\\")?;\\n\\n //set_size(&mut bench_vec, \\\"z.size-release.curl.log\\\")?;\\n\\n output(bench_vec)?;\\n\\n //\\n\\n //let mut bench_vec = get_bench(\\\"z.bench-release-s.curl.log\\\")?;\\n\\n //set_size(&mut bench_vec, \\\"z.size-release.curl.log\\\")?;\\n\\n //output(bench_vec)?;\\n\\n //\\n\\n Ok(())\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 11,\n \"score\": 84442.71275346605\n },\n {\n \"content\": \"fn get_bench(in_file: &str) -> anyhow::Result> {\\n\\n let mut vec_benchstr: Vec = Vec::new();\\n\\n //\\n\\n let re_1 =\\n\\n regex::Regex::new(r\\\"^([^ ]+) +time: +[\\\\[][^ ]+ [^ ]+ ([^ ]+) ([^ ]+) [^ ]+ [^ ]+[\\\\]]$\\\")\\n\\n .unwrap();\\n\\n //\\n\\n let reader = std::io::BufReader::new(\\n\\n std::fs::File::open(in_file)\\n\\n .with_context(|| format!(\\\"could not open file `{}`\\\", in_file))?,\\n\\n );\\n\\n for line in reader.lines() {\\n\\n let line = line?;\\n\\n if let Some(caps) = re_1.captures(&line) {\\n\\n // cmp_structopt::curl:: time: [302.50 us 302.87 us 303.34 us]\\n\\n // cmp_structopt::curl:: time: [714991.6559 cycles 715483.2743 cycles 716029.3928 cycles]\\n\\n let nm = normalize_name(&caps[1])?;\\n\\n let tm = normalize_time(&caps[2], &caps[3])?;\\n\\n let is_cycle = if &caps[3] == \\\"cycles\\\" { true } else { false };\\n\\n let time_1k = if nm.ends_with(\\\"^01k\\\") {\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 14,\n \"score\": 79728.10817275239\n },\n {\n \"content\": \"fn output(bench_vec: Vec) -> anyhow::Result<()> {\\n\\n println!(\\n\\n \\\"| {:^22} | {:^11} | {:^11} |\\\",\\n\\n \\\"`name`\\\", \\\"`bench`\\\", \\\"`per 1k`\\\"\\n\\n );\\n\\n println!(\\n\\n \\\"|:{:<22}-|-{:>11}:|-{:>11}:|\\\",\\n\\n \\\"-\\\".repeat(22),\\n\\n \\\"-\\\".repeat(11),\\n\\n \\\"-\\\".repeat(11),\\n\\n );\\n\\n for bench in bench_vec {\\n\\n if bench.is_cycle {\\n\\n println!(\\n\\n \\\"| {:<22} | {:>8.3} kc | {:>8.3} kc |\\\",\\n\\n bench.name,\\n\\n bench.time / 1000.0,\\n\\n bench.time_1k / 1000.0,\\n\\n );\\n\\n } else {\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 15,\n \"score\": 69241.38423055966\n },\n {\n \"content\": \"fn print_version_and_exit(_program: &str) {\\n\\n println!(\\\"{} {}\\\", env!(\\\"CARGO_PKG_NAME\\\"), env!(\\\"CARGO_PKG_VERSION\\\"));\\n\\n std::process::exit(0);\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/main.rs\",\n \"rank\": 16,\n \"score\": 57828.66545381921\n },\n {\n \"content\": \"fn print_help_and_exit(program: &str) {\\n\\n println!(\\n\\n \\\"[usage] {} {{ {} }}\\\",\\n\\n program,\\n\\n concat!(\\\"shape_benchmark_results\\\",)\\n\\n );\\n\\n std::process::exit(0);\\n\\n}\\n\",\n \"file_path\": \"xtask/src/main.rs\",\n \"rank\": 17,\n \"score\": 57828.66545381921\n },\n {\n \"content\": \"fn normalize_time(num_s: &str, unit_s: &str) -> anyhow::Result {\\n\\n let num: f64 = num_s.parse::()?;\\n\\n let unit: f64 = match unit_s {\\n\\n \\\"ms\\\" => 0.001,\\n\\n \\\"us\\\" => 0.000001,\\n\\n \\\"ns\\\" => 0.000000001,\\n\\n \\\"ps\\\" => 0.000000000001,\\n\\n \\\"cycles\\\" => 1.0,\\n\\n _ => {\\n\\n let msg = format!(\\\"can not convert unit: {}\\\", unit_s);\\n\\n return Err(anyhow::Error::msg(msg));\\n\\n }\\n\\n };\\n\\n Ok(num * unit)\\n\\n}\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 18,\n \"score\": 57146.21500195896\n },\n {\n \"content\": \"fn normalize_name(name_s: &str) -> anyhow::Result {\\n\\n Ok(name_s.to_string())\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 19,\n \"score\": 49130.663139446566\n },\n {\n \"content\": \"pub trait Animal {\\n\\n fn animal_id(&self) -> i32;\\n\\n fn talk(&self) -> &'static str;\\n\\n fn sum(&self) -> i32;\\n\\n fn rem(&self) -> i32;\\n\\n fn box_clone(&self) -> Box;\\n\\n}\\n\\nimpl Clone for Box {\\n\\n fn clone(&self) -> Box {\\n\\n self.box_clone()\\n\\n }\\n\\n}\\n\\n\\n\\n#[derive(Clone)]\\n\\npub struct Cat(i32);\\n\\n#[derive(Clone)]\\n\\npub struct Dog(i32, i32);\\n\\n#[derive(Clone)]\\n\\npub struct Duck(i32, i32, i32);\\n\\n#[derive(Clone)]\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 20,\n \"score\": 36841.14832373393\n },\n {\n \"content\": \"fn main() {\\n\\n let vec = cmp_polymorphism::create_enum_objs(1000000);\\n\\n let r1 = {\\n\\n let mut r = 0;\\n\\n for _i in 0..100 {\\n\\n let rr = cmp_polymorphism::sum_id_enum_objs(&vec);\\n\\n r += rr;\\n\\n }\\n\\n r\\n\\n };\\n\\n let r2 = {\\n\\n let mut r = 0;\\n\\n for _i in 0..100 {\\n\\n let rr = cmp_polymorphism::sum_sum_enum_objs(&vec);\\n\\n r += rr;\\n\\n }\\n\\n r\\n\\n };\\n\\n let r3 = {\\n\\n let mut r = 0;\\n\\n for _i in 0..100 {\\n\\n let rr = cmp_polymorphism::sum_rem_enum_objs(&vec);\\n\\n r += rr;\\n\\n }\\n\\n r\\n\\n };\\n\\n println!(\\\"{},{},{}\\\", r1, r2, r3);\\n\\n}\\n\",\n \"file_path\": \"src/bin-enum-obj.rs\",\n \"rank\": 21,\n \"score\": 25774.02168678796\n },\n {\n \"content\": \"fn main() {\\n\\n let vec = cmp_polymorphism::create_trait_objs(1000000);\\n\\n let r1 = {\\n\\n let mut r = 0;\\n\\n for _i in 0..100 {\\n\\n let rr = cmp_polymorphism::sum_id_trait_objs(&vec);\\n\\n r += rr;\\n\\n }\\n\\n r\\n\\n };\\n\\n let r2 = {\\n\\n let mut r = 0;\\n\\n for _i in 0..100 {\\n\\n let rr = cmp_polymorphism::sum_sum_trait_objs(&vec);\\n\\n r += rr;\\n\\n }\\n\\n r\\n\\n };\\n\\n let r3 = {\\n\\n let mut r = 0;\\n\\n for _i in 0..100 {\\n\\n let rr = cmp_polymorphism::sum_rem_trait_objs(&vec);\\n\\n r += rr;\\n\\n }\\n\\n r\\n\\n };\\n\\n println!(\\\"{},{},{}\\\", r1, r2, r3);\\n\\n}\\n\",\n \"file_path\": \"src/bin-trait-obj.rs\",\n \"rank\": 22,\n \"score\": 25774.02168678796\n },\n {\n \"content\": \"fn process_one(\\n\\n count: i32,\\n\\n) -> anyhow::Result<(\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n)> {\\n\\n cmp_polymorphism::do_enum_obj(count)\\n\\n}\\n\\n\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 23,\n \"score\": 25010.906212291877\n },\n {\n \"content\": \"fn process_one(\\n\\n count: i32,\\n\\n) -> anyhow::Result<(\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n (&'static str, i32),\\n\\n)> {\\n\\n cmp_polymorphism::do_trait_obj(count)\\n\\n}\\n\\n\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 24,\n \"score\": 25010.906212291877\n },\n {\n \"content\": \"fn main() -> anyhow::Result<()> {\\n\\n let mut env_args: Vec = std::env::args().collect();\\n\\n let program = env_args.remove(0);\\n\\n if env_args.is_empty() {\\n\\n print_help_and_exit(&program);\\n\\n }\\n\\n let cmd = env_args[0].as_str();\\n\\n let program = &program;\\n\\n let env_args: Vec<&str> = env_args[1..].iter().map(|s| s.as_str()).collect();\\n\\n #[rustfmt::skip]\\n\\n match cmd {\\n\\n \\\"shape_benchmark_results\\\" => shape_benchmark_results::run(&format!(\\\"{} {}\\\", program, cmd), &env_args)?,\\n\\n //\\n\\n \\\"--help\\\" | \\\"-h\\\" | \\\"-H\\\" | \\\"help\\\" => print_help_and_exit(program),\\n\\n \\\"--version\\\" | \\\"-V\\\" | \\\"-v\\\" => print_version_and_exit(program),\\n\\n _ => {\\n\\n eprintln!(\\\"Not fount command: {}\\\", cmd);\\n\\n unreachable!()\\n\\n }\\n\\n };\\n\\n //\\n\\n Ok(())\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/main.rs\",\n \"rank\": 25,\n \"score\": 23974.930842652007\n },\n {\n \"content\": \" pub fn new(a: i32, b: i32, c: i32, d: i32) -> Self {\\n\\n Self(a, b, c, d)\\n\\n }\\n\\n}\\n\\nimpl Frog {\\n\\n pub fn new(a: i32, b: i32, c: i32, d: i32, e: i32) -> Self {\\n\\n Self(a, b, c, d, e)\\n\\n }\\n\\n}\\n\\n\\n\\nimpl Animal for Cat {\\n\\n fn animal_id(&self) -> i32 {\\n\\n 1\\n\\n }\\n\\n fn talk(&self) -> &'static str {\\n\\n \\\"Meow!\\\"\\n\\n }\\n\\n fn sum(&self) -> i32 {\\n\\n self.0\\n\\n }\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 26,\n \"score\": 6.636125100442468\n },\n {\n \"content\": \"#[derive(Clone)]\\n\\npub enum Animal {\\n\\n Cat(i32),\\n\\n Dog(i32, i32),\\n\\n Duck(i32, i32, i32),\\n\\n Crow(i32, i32, i32, i32),\\n\\n Frog(i32, i32, i32, i32, i32),\\n\\n}\\n\\nimpl Animal {\\n\\n pub fn animal_id(&self) -> i32 {\\n\\n match self {\\n\\n Animal::Cat(_a) => 1,\\n\\n Animal::Dog(_a, _b) => 2,\\n\\n Animal::Duck(_a, _b, _c) => 3,\\n\\n Animal::Crow(_a, _b, _c, _d) => 4,\\n\\n Animal::Frog(_a, _b, _c, _d, _e) => 5,\\n\\n }\\n\\n }\\n\\n pub fn talk(&self) -> &'static str {\\n\\n match self {\\n\",\n \"file_path\": \"src/enum_obj.rs\",\n \"rank\": 27,\n \"score\": 6.235879831798293\n },\n {\n \"content\": \" tm\\n\\n } else if nm.ends_with(\\\"^08k\\\") {\\n\\n tm / 8.0\\n\\n } else if nm.ends_with(\\\"^90k\\\") {\\n\\n tm / 90.0\\n\\n } else {\\n\\n 0.0\\n\\n };\\n\\n //\\n\\n vec_benchstr.push(BenchStr {\\n\\n name: nm,\\n\\n time: tm,\\n\\n is_cycle: is_cycle,\\n\\n time_1k: time_1k,\\n\\n ..BenchStr::default()\\n\\n });\\n\\n }\\n\\n }\\n\\n //vec_benchstr.sort_by(|a, b| a.time.partial_cmp(&b.time).unwrap());\\n\\n vec_benchstr.sort_by(|a, b| a.name.partial_cmp(&b.name).unwrap());\\n\\n //\\n\\n Ok(vec_benchstr)\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 28,\n \"score\": 5.944899549783823\n },\n {\n \"content\": \" println!(\\n\\n \\\"| {:<22} | {:>8.3} uc | {:>8.3} uc |\\\",\\n\\n bench.name,\\n\\n bench.time / 0.000001,\\n\\n bench.time_1k / 0.000001,\\n\\n );\\n\\n }\\n\\n }\\n\\n //\\n\\n Ok(())\\n\\n}\\n\\n\\n\\n#[rustfmt::skip]\\n\\n#[derive(Default)]\\n\\npub struct BenchStr {\\n\\n pub name: String, // name\\n\\n pub time: f64, // seconds\\n\\n pub is_cycle: bool, // cycles\\n\\n pub time_1k: f64, // seconds per 1k\\n\\n pub size: u64, // bytes\\n\\n pub oh_time: f64, // seconds\\n\\n pub oh_size: u64, // bytes\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 29,\n \"score\": 5.567756273908203\n },\n {\n \"content\": \" 5\\n\\n }\\n\\n fn talk(&self) -> &'static str {\\n\\n \\\"Croak!\\\"\\n\\n }\\n\\n fn sum(&self) -> i32 {\\n\\n self.0 + self.1 + self.2 + self.3 + self.4\\n\\n }\\n\\n fn rem(&self) -> i32 {\\n\\n self.4 % self.3\\n\\n }\\n\\n fn box_clone(&self) -> Box {\\n\\n Box::new(self.clone())\\n\\n }\\n\\n}\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 30,\n \"score\": 5.086810967314524\n },\n {\n \"content\": \"pub struct Crow(i32, i32, i32, i32);\\n\\n#[derive(Clone)]\\n\\npub struct Frog(i32, i32, i32, i32, i32);\\n\\n\\n\\nimpl Cat {\\n\\n pub fn new(a: i32) -> Self {\\n\\n Self(a)\\n\\n }\\n\\n}\\n\\nimpl Dog {\\n\\n pub fn new(a: i32, b: i32) -> Self {\\n\\n Self(a, b)\\n\\n }\\n\\n}\\n\\nimpl Duck {\\n\\n pub fn new(a: i32, b: i32, c: i32) -> Self {\\n\\n Self(a, b, c)\\n\\n }\\n\\n}\\n\\nimpl Crow {\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 32,\n \"score\": 4.923498767598399\n },\n {\n \"content\": \" fn rem(&self) -> i32 {\\n\\n self.0\\n\\n }\\n\\n fn box_clone(&self) -> Box {\\n\\n Box::new(self.clone())\\n\\n }\\n\\n}\\n\\nimpl Animal for Dog {\\n\\n fn animal_id(&self) -> i32 {\\n\\n 2\\n\\n }\\n\\n fn talk(&self) -> &'static str {\\n\\n \\\"Woof!\\\"\\n\\n }\\n\\n fn sum(&self) -> i32 {\\n\\n self.0 + self.1\\n\\n }\\n\\n fn rem(&self) -> i32 {\\n\\n self.1 % self.0\\n\\n }\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 33,\n \"score\": 4.860813803158159\n },\n {\n \"content\": \"}\\n\\nimpl Animal for Crow {\\n\\n fn animal_id(&self) -> i32 {\\n\\n 4\\n\\n }\\n\\n fn talk(&self) -> &'static str {\\n\\n \\\"Caw!\\\"\\n\\n }\\n\\n fn sum(&self) -> i32 {\\n\\n self.0 + self.1 + self.2 + self.3\\n\\n }\\n\\n fn rem(&self) -> i32 {\\n\\n self.3 % self.2\\n\\n }\\n\\n fn box_clone(&self) -> Box {\\n\\n Box::new(self.clone())\\n\\n }\\n\\n}\\n\\nimpl Animal for Frog {\\n\\n fn animal_id(&self) -> i32 {\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 34,\n \"score\": 4.593183347376522\n },\n {\n \"content\": \" fn box_clone(&self) -> Box {\\n\\n Box::new(self.clone())\\n\\n }\\n\\n}\\n\\nimpl Animal for Duck {\\n\\n fn animal_id(&self) -> i32 {\\n\\n 3\\n\\n }\\n\\n fn talk(&self) -> &'static str {\\n\\n \\\"Quack!\\\"\\n\\n }\\n\\n fn sum(&self) -> i32 {\\n\\n self.0 + self.1 + self.2\\n\\n }\\n\\n fn rem(&self) -> i32 {\\n\\n self.2 % self.1\\n\\n }\\n\\n fn box_clone(&self) -> Box {\\n\\n Box::new(self.clone())\\n\\n }\\n\",\n \"file_path\": \"src/trait_obj.rs\",\n \"rank\": 36,\n \"score\": 4.269575373970424\n },\n {\n \"content\": \" Animal::Cat(_a) => \\\"Meow!\\\",\\n\\n Animal::Dog(_a, _b) => \\\"Woof!\\\",\\n\\n Animal::Duck(_a, _b, _c) => \\\"Quack!\\\",\\n\\n Animal::Crow(_a, _b, _c, _d) => \\\"Caw!\\\",\\n\\n Animal::Frog(_a, _b, _c, _d, _e) => \\\"Croak!\\\",\\n\\n }\\n\\n }\\n\\n pub fn sum(&self) -> i32 {\\n\\n match self {\\n\\n Animal::Cat(a) => *a,\\n\\n Animal::Dog(a, b) => a + b,\\n\\n Animal::Duck(a, b, c) => a + b + c,\\n\\n Animal::Crow(a, b, c, d) => a + b + c + d,\\n\\n Animal::Frog(a, b, c, d, e) => a + b + c + d + e,\\n\\n }\\n\\n }\\n\\n pub fn rem(&self) -> i32 {\\n\\n match self {\\n\\n Animal::Cat(a) => *a,\\n\\n Animal::Dog(a, b) => b % a,\\n\\n Animal::Duck(_a, b, c) => c % b,\\n\\n Animal::Crow(_a, _b, c, d) => d % c,\\n\\n Animal::Frog(_a, _b, _c, d, e) => e % d,\\n\\n }\\n\\n }\\n\\n}\\n\",\n \"file_path\": \"src/enum_obj.rs\",\n \"rank\": 37,\n \"score\": 2.886264532653559\n },\n {\n \"content\": \" Some(i) => i,\\n\\n None => {\\n\\n let msg = format!(\\\"can not find size: {}\\\", name);\\n\\n return Err(anyhow::Error::msg(msg));\\n\\n }\\n\\n };\\n\\n bench_vec[i].size = size_s.parse::()?;\\n\\n if name == \\\"cmp_null_void\\\" {\\n\\n base_time = bench_vec[i].time;\\n\\n base_size = bench_vec[i].size;\\n\\n }\\n\\n }\\n\\n }\\n\\n //\\n\\n for bench in bench_vec {\\n\\n bench.oh_time = bench.time - base_time;\\n\\n bench.oh_size = bench.size - base_size;\\n\\n }\\n\\n //\\n\\n Ok(())\\n\\n}\\n\\n\\n\",\n \"file_path\": \"xtask/src/shape_benchmark_results.rs\",\n \"rank\": 38,\n \"score\": 2.685443077690263\n },\n {\n \"content\": \"| trait_obj^vec^sum^90k | 1203.361 kc | 13.371 kc |\\n\\n\\n\\nrustc 1.52.0 (88f19c6da 2021-05-03)\\n\\n| `name` | `bench` | `per 1k` |\\n\\n|:-----------------------|------------:|------------:|\\n\\n| enum_obj^ | 0.024 kc | 0.000 kc |\\n\\n| enum_obj^vec^id^01k | 4.425 kc | 4.425 kc |\\n\\n| enum_obj^vec^id^08k | 35.634 kc | 4.454 kc |\\n\\n| enum_obj^vec^id^90k | 583.796 kc | 6.487 kc |\\n\\n| enum_obj^vec^rem^01k | 11.453 kc | 11.453 kc |\\n\\n| enum_obj^vec^rem^08k | 90.914 kc | 11.364 kc |\\n\\n| enum_obj^vec^rem^90k | 1182.439 kc | 13.138 kc |\\n\\n| enum_obj^vec^sum^01k | 10.670 kc | 10.670 kc |\\n\\n| enum_obj^vec^sum^08k | 79.980 kc | 9.998 kc |\\n\\n| enum_obj^vec^sum^90k | 900.310 kc | 10.003 kc |\\n\\n| trait_obj^ | 0.024 kc | 0.000 kc |\\n\\n| trait_obj^vec^id^01k | 6.062 kc | 6.062 kc |\\n\\n| trait_obj^vec^id^08k | 48.345 kc | 6.043 kc |\\n\\n| trait_obj^vec^id^90k | 546.009 kc | 6.067 kc |\\n\\n| trait_obj^vec^rem^01k | 10.162 kc | 10.162 kc |\\n\\n| trait_obj^vec^rem^08k | 80.179 kc | 10.022 kc |\\n\\n| trait_obj^vec^rem^90k | 1280.631 kc | 14.229 kc |\\n\\n| trait_obj^vec^sum^01k | 8.413 kc | 8.413 kc |\\n\\n| trait_obj^vec^sum^08k | 66.099 kc | 8.262 kc |\\n\\n| trait_obj^vec^sum^90k | 1182.313 kc | 13.137 kc |\\n\",\n \"file_path\": \"README.md\",\n \"rank\": 39,\n \"score\": 2.2634725716355213\n },\n {\n \"content\": \"rustc 1.53.0 (53cb7b09b 2021-06-17)\\n\\n| `name` | `bench` | `per 1k` |\\n\\n|:-----------------------|------------:|------------:|\\n\\n| enum_obj^ | 0.024 kc | 0.000 kc |\\n\\n| enum_obj^vec^id^01k | 4.358 kc | 4.358 kc |\\n\\n| enum_obj^vec^id^08k | 35.195 kc | 4.399 kc |\\n\\n| enum_obj^vec^id^90k | 604.227 kc | 6.714 kc |\\n\\n| enum_obj^vec^rem^01k | 11.488 kc | 11.488 kc |\\n\\n| enum_obj^vec^rem^08k | 91.363 kc | 11.420 kc |\\n\\n| enum_obj^vec^rem^90k | 1198.158 kc | 13.313 kc |\\n\\n| enum_obj^vec^sum^01k | 10.501 kc | 10.501 kc |\\n\\n| enum_obj^vec^sum^08k | 60.464 kc | 7.558 kc |\\n\\n| enum_obj^vec^sum^90k | 930.674 kc | 10.341 kc |\\n\\n| trait_obj^ | 0.024 kc | 0.000 kc |\\n\\n| trait_obj^vec^id^01k | 7.092 kc | 7.092 kc |\\n\\n| trait_obj^vec^id^08k | 56.413 kc | 7.052 kc |\\n\\n| trait_obj^vec^id^90k | 637.158 kc | 7.080 kc |\\n\\n| trait_obj^vec^rem^01k | 10.077 kc | 10.077 kc |\\n\\n| trait_obj^vec^rem^08k | 80.625 kc | 10.078 kc |\\n\\n| trait_obj^vec^rem^90k | 1364.740 kc | 15.164 kc |\\n\\n| trait_obj^vec^sum^01k | 8.369 kc | 8.369 kc |\\n\\n| trait_obj^vec^sum^08k | 66.302 kc | 8.288 kc |\\n\",\n \"file_path\": \"README.md\",\n \"rank\": 40,\n \"score\": 2.2634725716355213\n },\n {\n \"content\": \" let _r = cmp_polymorphism::sum_rem_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n }\\n\\n //\\n\\n {\\n\\n let vec = cmp_polymorphism::create_enum_objs(criterion::black_box(8000));\\n\\n c.bench_function(\\\"enum_obj^vec^id^08k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_id_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"enum_obj^vec^sum^08k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_sum_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"enum_obj^vec^rem^08k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_rem_enum_objs(&vec);\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 41,\n \"score\": 2.2168329489648326\n },\n {\n \"content\": \" })\\n\\n });\\n\\n }\\n\\n //\\n\\n {\\n\\n let vec = cmp_polymorphism::create_enum_objs(criterion::black_box(90000));\\n\\n c.bench_function(\\\"enum_obj^vec^id^90k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_id_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"enum_obj^vec^sum^90k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_sum_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"enum_obj^vec^rem^90k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_rem_enum_objs(&vec);\\n\\n })\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 42,\n \"score\": 2.209626980966557\n },\n {\n \"content\": \" let _r = cmp_polymorphism::sum_rem_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n }\\n\\n //\\n\\n {\\n\\n let vec = cmp_polymorphism::create_trait_objs(criterion::black_box(8000));\\n\\n c.bench_function(\\\"trait_obj^vec^id^08k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_id_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"trait_obj^vec^sum^08k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_sum_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"trait_obj^vec^rem^08k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_rem_trait_objs(&vec);\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 43,\n \"score\": 2.18758474984341\n },\n {\n \"content\": \" })\\n\\n });\\n\\n }\\n\\n //\\n\\n {\\n\\n let vec = cmp_polymorphism::create_trait_objs(criterion::black_box(90000));\\n\\n c.bench_function(\\\"trait_obj^vec^id^90k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_id_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"trait_obj^vec^sum^90k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_sum_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"trait_obj^vec^rem^90k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_rem_trait_objs(&vec);\\n\\n })\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 44,\n \"score\": 2.176478279198126\n },\n {\n \"content\": \"use criterion::{criterion_group, criterion_main, Criterion};\\n\\nuse criterion_cycles_per_byte::CyclesPerByte;\\n\\n\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 45,\n \"score\": 2.1231756995416484\n },\n {\n \"content\": \"use criterion::{criterion_group, criterion_main, Criterion};\\n\\nuse criterion_cycles_per_byte::CyclesPerByte;\\n\\n\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 46,\n \"score\": 2.1231756995416484\n },\n {\n \"content\": \" c.bench_function(\\\"enum_obj^\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = process_one(criterion::black_box(10));\\n\\n })\\n\\n });\\n\\n //\\n\\n {\\n\\n let vec = cmp_polymorphism::create_enum_objs(criterion::black_box(1000));\\n\\n c.bench_function(\\\"enum_obj^vec^id^01k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_id_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"enum_obj^vec^sum^01k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_sum_enum_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"enum_obj^vec^rem^01k\\\", |b| {\\n\\n b.iter(|| {\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 47,\n \"score\": 2.0892040095068207\n },\n {\n \"content\": \" c.bench_function(\\\"trait_obj^\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = process_one(criterion::black_box(10));\\n\\n })\\n\\n });\\n\\n //\\n\\n {\\n\\n let vec = cmp_polymorphism::create_trait_objs(criterion::black_box(1000));\\n\\n c.bench_function(\\\"trait_obj^vec^id^01k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_id_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"trait_obj^vec^sum^01k\\\", |b| {\\n\\n b.iter(|| {\\n\\n let _r = cmp_polymorphism::sum_sum_trait_objs(&vec);\\n\\n })\\n\\n });\\n\\n c.bench_function(\\\"trait_obj^vec^rem^01k\\\", |b| {\\n\\n b.iter(|| {\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 48,\n \"score\": 2.043429957810487\n },\n {\n \"content\": \"//\\n\\n// ref)\\n\\n// https://github.com/matklad/cargo-xtask\\n\\n//\\n\\nmod shape_benchmark_results;\\n\\n\\n\",\n \"file_path\": \"xtask/src/main.rs\",\n \"rank\": 49,\n \"score\": 1.8147130784616143\n },\n {\n \"content\": \" });\\n\\n }\\n\\n}\\n\\n\\n\\ncriterion_group!(\\n\\n name = benches;\\n\\n config = Criterion::default().with_measurement(CyclesPerByte)\\n\\n .warm_up_time(std::time::Duration::from_millis(300))\\n\\n .measurement_time(std::time::Duration::from_millis(1500));\\n\\n targets = criterion_benchmark);\\n\\ncriterion_main!(benches);\\n\",\n \"file_path\": \"benches/bench-enum-obj.rs\",\n \"rank\": 50,\n \"score\": 1.1840814788046088\n },\n {\n \"content\": \" });\\n\\n }\\n\\n}\\n\\n\\n\\ncriterion_group!(\\n\\n name = benches;\\n\\n config = Criterion::default().with_measurement(CyclesPerByte)\\n\\n .warm_up_time(std::time::Duration::from_millis(300))\\n\\n .measurement_time(std::time::Duration::from_millis(1500));\\n\\n targets = criterion_benchmark);\\n\\ncriterion_main!(benches);\\n\",\n \"file_path\": \"benches/bench-trait-obj.rs\",\n \"rank\": 51,\n \"score\": 1.1840814788046088\n },\n {\n \"content\": \"mod test {\\n\\n use cmp_polymorphism::enum_obj;\\n\\n use cmp_polymorphism::trait_obj;\\n\\n //\\n\\n #[test]\\n\\n fn test_size() {\\n\\n assert_eq!(std::mem::size_of::(), 24);\\n\\n assert_eq!(std::mem::size_of::(), 4);\\n\\n assert_eq!(std::mem::size_of::(), 8);\\n\\n assert_eq!(std::mem::size_of::(), 12);\\n\\n assert_eq!(std::mem::size_of::(), 16);\\n\\n assert_eq!(std::mem::size_of::(), 20);\\n\\n //\\n\\n assert_eq!(std::mem::size_of::>(), 8);\\n\\n assert_eq!(std::mem::size_of::>(), 16);\\n\\n assert_eq!(std::mem::size_of::>(), 8);\\n\\n assert_eq!(std::mem::size_of::>(), 8);\\n\\n assert_eq!(std::mem::size_of::>(), 8);\\n\\n assert_eq!(std::mem::size_of::>(), 8);\\n\\n assert_eq!(std::mem::size_of::>(), 8);\\n\\n }\\n\\n}\\n\",\n \"file_path\": \"tests/test.rs\",\n \"rank\": 52,\n \"score\": 0.45243922997937025\n }\n]"}}},{"rowIdx":1890,"cells":{"lang":{"kind":"string","value":"Rust"},"file_path":{"kind":"string","value":"src/prefab.rs"},"repo_name":{"kind":"string","value":"FrancisMurillo/amethyst-tiled"},"commit":{"kind":"string","value":"fc5713a8a41a9c829fb624c8f782393fde07971c"},"file_code":{"kind":"string","value":"use amethyst::assets::{Asset, AssetStorage, Handle, Loader, PrefabData, ProgressCounter, Source};\nuse amethyst::ecs::{Component, Entity, Read, ReadExpect, Write, WriteStorage};\nuse amethyst::renderer::{SpriteSheet, Texture};\nuse amethyst::Error;\nuse tiled::{Map, Tileset};\n\nuse crate::strategy::{CompressedLoad, LoadStrategy, StrategyDesc};\nuse crate::{load_tileset_inner, Tilesets};\nuse std::sync::Arc;\n\n#[cfg(feature = \"profiler\")]\nuse thread_profiler::profile_scope;\n\npub enum TileSetPrefab {\n Handle(Handle),\n TileSet(Tileset, Arc),\n}\n\nimpl<'a> PrefabData<'a> for TileSetPrefab {\n type SystemData = (\n Write<'a, Tilesets>,\n Read<'a, AssetStorage>,\n Write<'a, AssetStorage>,\n ReadExpect<'a, Loader>,\n );\n\n type Result = Handle;\n\n fn add_to_entity(\n &self,\n _entity: Entity,\n _system_data: &mut Self::SystemData,\n _entities: &[Entity],\n _children: &[Entity],\n ) -> Result {\n match self {\n Self::Handle(handle) => Ok(handle.clone()),\n _ => unreachable!(\"load_sub_assets should be called before add_to_entity\"),\n }\n }\n\n fn load_sub_assets(\n &mut self,\n progress: &mut ProgressCounter,\n system_data: &mut Self::SystemData,\n ) -> Result {\n let (tilesets, textures, sheets, loader) = system_data;\n\n if let Self::TileSet(set, source) = self {\n match tilesets.get(&set.name) {\n Some(handle) => *self = Self::Handle(handle),\n None => {\n let sheet =\n match load_tileset_inner(set, source.clone(), loader, progress, textures) {\n Ok(v) => v,\n Err(e) => return Err(Error::from_string(format!(\"{:}\", e))),\n };\n let handle = sheets.insert(sheet);\n tilesets.push(set.name.to_owned(), handle.clone());\n\n *self = Self::Handle(handle);\n return Ok(true);\n }\n }\n }\n\n Ok(false)\n }\n}\n\npub enum TileMapPrefab {\n Result(S::Result),\n Map(Map, Arc),\n}\n\nimpl<'a, T: LoadStrategy<'a>> PrefabData<'a> for TileMapPrefab\nwhere\n T::Result: Clone + Component + Asset,\n{\n type SystemData = (T::SystemData, WriteStorage<'a, ::Result>);\n\n \n type Result = ();\n\n fn add_to_entity(\n &self,\n entity: Entity,\n system_data: &mut Self::SystemData,\n _entities: &[Entity],\n _children: &[Entity],\n ) -> Result<(), Error> {\n #[cfg(feature = \"profiler\")]\n profile_scope!(\"add_tilemap_to_entity\");\n\n let (_, storage) = system_data;\n\n match self {\n TileMapPrefab::Result(v) => {\n storage.insert(entity, v.clone())?;\n Ok(())\n }\n _ => unreachable!(\"load_sub_assets should be called before add_to_entity\"),\n }\n }\n\n fn load_sub_assets(\n &mut self,\n progress: &mut ProgressCounter,\n system_data: &mut Self::SystemData,\n ) -> Result {\n #[cfg(feature = \"profiler\")]\n profile_scope!(\"load_tilemap_assets\");\n match self {\n TileMapPrefab::Map(map, source) => {\n *self = Self::Result(T::load(map, source.clone(), progress, &mut system_data.0)?);\n Ok(true)\n }\n _ => Ok(false),\n }\n }\n}\n"},"prefix":{"kind":"string","value":"use amethyst::assets::{Asset, AssetStorage, Handle, Loader, PrefabData, ProgressCounter, Source};\nuse amethyst::ecs::{Component, Entity, Read, ReadExpect, Write, WriteStorage};\nuse amethyst::renderer::{SpriteSheet, Texture};\nuse amethyst::Error;\nuse tiled::{Map, Tileset};\n\nuse crate::strategy::{CompressedLoad, LoadStrategy, StrategyDesc};\nuse crate::{load_tileset_inner, Tilesets};\nuse std::sync::Arc;\n\n#[cfg(feature = \"profiler\")]\nuse thread_profiler::profile_scope;\n\npub enum TileSetPrefab {\n Handle(Handle),\n TileSet(Tileset, Arc),\n}\n\nimpl<'a> PrefabData<'a> for TileSetPrefab {\n type SystemData = (\n Write<'a, Tilesets>,\n Read<'a, AssetStorage>,\n Write<'a, AssetStorage>,\n ReadExpect<'a, Loader>,\n );\n\n type Result = Handle;\n\n fn add_to_entity(\n &self,\n _entity: Entity,\n _system_data: &mut Self::SystemData,\n _entities: &[Entity],\n _children: &[Entity],\n ) -> Result {\n match self {\n Self::Handle(handle) => Ok(handle.clone()),\n _ => unreachable!(\"load_sub_assets should be called before add_to_entity\"),\n }\n }\n\n fn load_sub_assets(\n &mut self,\n progress: &mut ProgressCounter,\n system_data: &mut Self::SystemData,\n ) -> Result {\n let (tilesets, textures, sheets, loader) = system_data;\n\n if let Self::TileSet(set, source) = self {\n match tilesets.get(&set.name) {\n Some(handle) => *self = Self::Handle(handle),\n None => {\n let sheet =\n match load_tileset_inner(set, source.clone(), loader, progress, textures) {\n Ok(v) => v,\n Err(e) => return Err(Error::from_string(format!(\"{:}\", e))),\n };\n let handle = sheets.insert(sheet);\n tilesets.push(set.name.to_owned(), handle.clone());\n\n *self = Self::Handle(handle);\n return Ok(true);\n }\n }\n }\n\n Ok(false)\n }\n}\n\npub enum TileMapPrefab {\n Result(S::Result),\n Map(Map, Arc),\n}\n\nimpl<'a, T: LoadStrategy<'a>> PrefabData<'a> for TileMapPrefab\nwhere\n T::Result: Clone + Component + Asset,\n{\n type SystemData = (T::SystemData, WriteStorage<'a, ::Result>);\n\n \n type Result = ();\n\n "},"suffix":{"kind":"string","value":"\n\n fn load_sub_assets(\n &mut self,\n progress: &mut ProgressCounter,\n system_data: &mut Self::SystemData,\n ) -> Result {\n #[cfg(feature = \"profiler\")]\n profile_scope!(\"load_tilemap_assets\");\n match self {\n TileMapPrefab::Map(map, source) => {\n *self = Self::Result(T::load(map, source.clone(), progress, &mut system_data.0)?);\n Ok(true)\n }\n _ => Ok(false),\n }\n }\n}\n"},"middle":{"kind":"string","value":"fn add_to_entity(\n &self,\n entity: Entity,\n system_data: &mut Self::SystemData,\n _entities: &[Entity],\n _children: &[Entity],\n ) -> Result<(), Error> {\n #[cfg(feature = \"profiler\")]\n profile_scope!(\"add_tilemap_to_entity\");\n\n let (_, storage) = system_data;\n\n match self {\n TileMapPrefab::Result(v) => {\n storage.insert(entity, v.clone())?;\n Ok(())\n }\n _ => unreachable!(\"load_sub_assets should be called before add_to_entity\"),\n }\n }"},"strategy":{"kind":"string","value":"function_block-full_function"},"context_items":{"kind":"list like","value":[{"content":"pub fn pack_tileset(set: &Tileset, source: Arc) -> Result {\n\n let mut sprites = Vec::new();\n\n\n\n for image in &set.images {\n\n sprites.extend(pack_image(\n\n image,\n\n source.clone(),\n\n TileSpec {\n\n width: set.tile_width,\n\n height: set.tile_height,\n\n margin: set.margin,\n\n spacing: set.spacing,\n\n },\n\n )?);\n\n }\n\n\n\n // There is guaranteed to be exactly one resulting sprite sheet\n\n Ok(pack::(sprites, 4, ()).remove(0))\n\n}\n\n\n\npub struct TileSpec {\n\n pub width: u32,\n\n pub height: u32,\n\n pub margin: u32,\n\n pub spacing: u32,\n\n}\n\n\n","file_path":"src/packing.rs","rank":0,"score":115146.93061046876},{"content":"/// Pack a list of tile sets while paying attention to the first grid id\n\npub fn pack_tileset_vec(sets: &[Tileset], source: Arc) -> Result {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"pack_tileset_vec\");\n\n\n\n let mut sprites = Vec::new();\n\n let tile_size = (sets[0].tile_width, sets[0].tile_height);\n\n\n\n // Add the see through placeholder.\n\n sprites.push(InputSprite {\n\n bytes: vec![0; (tile_size.0 * tile_size.1 * 4) as usize],\n\n dimensions: tile_size,\n\n });\n\n\n\n for set in sets {\n\n for image in &set.images {\n\n sprites.extend(pack_image(\n\n image,\n\n source.clone(),\n\n TileSpec {\n\n width: set.tile_width,\n","file_path":"src/packing.rs","rank":1,"score":112310.16403276738},{"content":"/// Open the image and removes the transparent color\n\npub fn open_image(img: &TileImage, source: Arc) -> Result {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"open_image\");\n\n\n\n let bytes = {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"load_image_source\");\n\n\n\n match source.load(&img.source) {\n\n Ok(v) => v,\n\n Err(_) => {\n\n return Err(Error::from_string(format!(\n\n \"Unable to open image path: {:?}\",\n\n &img.source\n\n )));\n\n }\n\n }\n\n };\n\n\n\n let mut image = {\n","file_path":"src/packing.rs","rank":2,"score":79333.17489135731},{"content":"pub fn pack_sparse_tileset_vec(\n\n sets: &[Tileset],\n\n source: Arc,\n\n usage: &[u32],\n\n) -> Result {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"pack_sparse_tileset_vec\");\n\n\n\n let mut sprites = Vec::new();\n\n let tile_size = (sets[0].tile_width, sets[0].tile_height);\n\n\n\n // Add the see through placeholder.\n\n sprites.push(InputSprite {\n\n bytes: vec![0; (tile_size.0 * tile_size.1 * 4) as usize],\n\n dimensions: tile_size,\n\n });\n\n\n\n // Don't load GID 0\n\n let mut tile_index = 1;\n\n\n","file_path":"src/packing.rs","rank":3,"score":62529.91212764799},{"content":"pub fn load_tileset>(\n\n path: P,\n\n loader: &Loader,\n\n progress: &mut ProgressCounter,\n\n storage: &AssetStorage,\n\n) -> Result {\n\n let tileset = parse_tileset(File::open(&path)?, 1)?;\n\n\n\n load_tileset_inner(\n\n &tileset,\n\n Arc::new(Directory::new(path.as_ref())),\n\n loader,\n\n progress,\n\n storage,\n\n )\n\n}\n\n\n","file_path":"src/lib.rs","rank":4,"score":55642.4369246975},{"content":"pub fn load_cached_tileset>(\n\n path: P,\n\n loader: &Loader,\n\n progress: &mut ProgressCounter,\n\n storage: &AssetStorage,\n\n sprite_sheets: &mut AssetStorage,\n\n tilesets: &Tilesets,\n\n) -> Result, Error> {\n\n let tileset = parse_tileset(File::open(&path)?, 1)?;\n\n\n\n match tilesets.get(&tileset.name) {\n\n Some(handle) => Ok(handle),\n\n None => {\n\n let sheet = load_tileset_inner(\n\n &tileset,\n\n Arc::new(Directory::new(path.as_ref())),\n\n loader,\n\n progress,\n\n storage,\n\n )?;\n","file_path":"src/lib.rs","rank":5,"score":53571.70061175292},{"content":"pub fn pack_image(\n\n img: &TileImage,\n\n source: Arc,\n\n spec: TileSpec,\n\n) -> Result, Error> {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"pack_image\");\n\n\n\n let mut image = open_image(img, source)?;\n\n\n\n let TileSpec {\n\n width,\n\n height,\n\n margin,\n\n spacing,\n\n } = spec;\n\n\n\n let mut sprites = Vec::new();\n\n for y in (margin..image.height() + margin).step_by((height + spacing) as usize) {\n\n for x in (margin..image.width() + margin).step_by((width + spacing) as usize) {\n\n sprites.push(InputSprite {\n\n dimensions: (width, height),\n\n bytes: image.sub_image(x, y, width, height).to_image().into_raw(),\n\n })\n\n }\n\n }\n\n\n\n Ok(sprites)\n\n}\n\n\n","file_path":"src/packing.rs","rank":6,"score":51711.83483122148},{"content":"fn main() -> amethyst::Result<()> {\n\n amethyst::Logger::from_config(Default::default())\n\n .level_for(\"amethyst_tiles\", log::LevelFilter::Warn)\n\n .start();\n\n\n\n let app_root = application_root_dir()?;\n\n let assets_directory = app_root.join(\"examples/assets\");\n\n let display_config_path = app_root.join(\"examples/concept/resources/display_config.ron\");\n\n\n\n let game_data = GameDataBuilder::default()\n\n .with_system_desc(PrefabLoaderSystemDesc::::default(), \"\", &[])\n\n .with_bundle(TransformBundle::new())?\n\n .with_bundle(\n\n InputBundle::::new()\n\n .with_bindings_from_file(\"examples/concept/resources/input.ron\")?,\n\n )?\n\n .with(CameraMovementSystem::default(), \"movement\", &[])\n\n .with_bundle(\n\n RenderingBundle::::new()\n\n .with_plugin(\n\n RenderToWindow::from_config_path(display_config_path)?.with_clear([1.0; 4]),\n\n )\n\n .with_plugin(RenderTiles2D::::default()),\n\n )?;\n\n\n\n let mut game = Application::build(assets_directory, Example)?.build(game_data)?;\n\n game.run();\n\n Ok(())\n\n}\n","file_path":"examples/concept/main.rs","rank":7,"score":51246.76231300902},{"content":"/// Returns the necessary import sprites, the number of tiles within this image, and the number of\n\n/// gids filled by this call.\n\npub fn pack_sparse_image(\n\n img: &TileImage,\n\n source: Arc,\n\n spec: TileSpec,\n\n first_gid: u32,\n\n usage: &[u32],\n\n) -> Result<(Vec, u32, usize), Error> {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"pack_sparse_image\");\n\n\n\n let mut image = open_image(img, source)?;\n\n\n\n let TileSpec {\n\n width,\n\n height,\n\n margin,\n\n spacing,\n\n } = spec;\n\n\n\n let grid_width = (image.width() - 2 * margin) / (width + spacing);\n","file_path":"src/packing.rs","rank":8,"score":49785.84592422577},{"content":"pub trait StrategyDesc {\n\n /// The type of output this strategy will produce\n\n type Result;\n\n}\n\n\n","file_path":"src/strategy.rs","rank":9,"score":42353.077051878776},{"content":"fn load_sprite_sheet(\n\n packed: PackedSpriteSheet,\n\n loader: &Loader,\n\n progress: &mut ProgressCounter,\n\n storage: &AssetStorage,\n\n) -> SpriteSheet {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"load_sprite_sheet\");\n\n\n\n let sprites = encode::(&packed, ());\n\n\n\n let (width, height) = packed.dimensions;\n\n\n\n let texture_builder = TextureBuilder::new()\n\n .with_kind(Kind::D2(width, height, 1, 1))\n\n .with_view_kind(ViewKind::D2)\n\n .with_data_width(width)\n\n .with_data_height(height)\n\n .with_sampler_info(SamplerInfo::new(Filter::Nearest, WrapMode::Clamp))\n\n .with_raw_data(packed.bytes, Rgba8Srgb::FORMAT);\n\n\n\n SpriteSheet {\n\n texture: loader.load_from_data(texture_builder.into(), progress, storage),\n\n sprites,\n\n }\n\n}\n\n\n","file_path":"src/lib.rs","rank":10,"score":41989.73315495935},{"content":"fn load_tileset_inner(\n\n _tileset: &Tileset,\n\n _source: Arc,\n\n _loader: &Loader,\n\n _progress: &mut ProgressCounter,\n\n _storage: &AssetStorage,\n\n) -> Result {\n\n unimplemented!()\n\n}\n\n\n","file_path":"src/lib.rs","rank":11,"score":41735.485967703964},{"content":"pub trait LoadStrategy<'a>: StrategyDesc {\n\n /// The data to request when loading a map\n\n type SystemData: SystemData<'a>;\n\n\n\n // Preform the load operation using a given map and source location\n\n fn load(\n\n map: &Map,\n\n source: Arc,\n\n progress: &mut ProgressCounter,\n\n system_data: &mut Self::SystemData,\n\n ) -> Result<::Result, Error>;\n\n}\n\n\n\n/// A load strategy that does not take steps to compress the tile sets. This is the most efficient\n\n/// approach for maps that use all or near all of the tiles in a tileset.\n\n#[derive(Debug, Copy, Clone, Default)]\n\npub struct FlatLoad(PhantomData);\n\n\n\nimpl StrategyDesc for FlatLoad {\n\n type Result = TileMap;\n","file_path":"src/strategy.rs","rank":12,"score":36170.1901785634},{"content":"/// Get an adjusted path based on a reference\n\nfn shift_path(reference: &str, path: &str) -> String {\n\n let mut path_buf = PathBuf::from(reference);\n\n path_buf.set_file_name(path);\n\n path_buf.to_str().unwrap().to_owned()\n\n}\n","file_path":"src/format.rs","rank":13,"score":18730.167490056254},{"content":"fn collect_gid_usage(map: &Map) -> BTreeSet {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"collect_gid_usage\");\n\n\n\n let mut gids = BTreeSet::new();\n\n for layer in &map.layers {\n\n for row in &layer.tiles {\n\n for tile in row {\n\n gids.insert(tile.gid);\n\n }\n\n }\n\n }\n\n gids\n\n}\n\n\n\n/// Loads a tilemap into memory as a single texture. This is by far the best option for performance\n\n/// when a map is never altered. Keep in mind that this approach will compress all of the maps\n\n/// layers together.\n\n#[derive(Debug, Copy, Clone, Default)]\n\npub struct StaticLoad;\n","file_path":"src/strategy.rs","rank":14,"score":18044.399830245562},{"content":"}\n\n\n\nimpl<'a, E: CoordinateEncoder> LoadStrategy<'a> for FlatLoad {\n\n type SystemData = (\n\n ReadExpect<'a, Loader>,\n\n Read<'a, AssetStorage>,\n\n Write<'a, AssetStorage>,\n\n );\n\n\n\n fn load(\n\n map: &Map,\n\n source: Arc,\n\n progress: &mut ProgressCounter,\n\n system_data: &mut Self::SystemData,\n\n ) -> Result {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"FlatLoad::load\");\n\n\n\n let (loader, storage, sheets) = system_data;\n\n\n","file_path":"src/strategy.rs","rank":17,"score":24.15391272252209},{"content":" type Result = TileMap;\n\n}\n\n\n\nimpl<'a, E: CoordinateEncoder> LoadStrategy<'a> for CompressedLoad {\n\n type SystemData = (\n\n ReadExpect<'a, Loader>,\n\n Read<'a, AssetStorage>,\n\n Write<'a, AssetStorage>,\n\n );\n\n\n\n fn load(\n\n map: &Map,\n\n source: Arc,\n\n progress: &mut ProgressCounter,\n\n system_data: &mut Self::SystemData,\n\n ) -> Result {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"CompressedLoad::load\");\n\n\n\n let (loader, storage, sheets) = system_data;\n","file_path":"src/strategy.rs","rank":19,"score":23.8702375813181},{"content":"use amethyst::assets::{AssetStorage, Handle, Loader, ProgressCounter, Source};\n\nuse amethyst::core::math::{Point3, Vector3};\n\nuse amethyst::ecs::{Read, ReadExpect, SystemData, Write};\n\nuse amethyst::renderer::{SpriteSheet, Texture};\n\nuse amethyst::tiles::{CoordinateEncoder, FlatEncoder, MapStorage, TileMap};\n\nuse amethyst::Error;\n\nuse tiled::{Map, Tileset};\n\n\n\nuse crate::packing::{pack_sparse_tileset_vec, pack_tileset_vec};\n\nuse crate::{load_sprite_sheet, TileGid};\n\nuse std::collections::{BTreeSet, HashMap};\n\nuse std::marker::PhantomData;\n\nuse std::sync::Arc;\n\n\n\n#[cfg(feature = \"profiler\")]\n\nuse thread_profiler::profile_scope;\n\n\n","file_path":"src/strategy.rs","rank":21,"score":18.044139859511606},{"content":"use std::collections::HashMap;\n\nuse std::fs::File;\n\nuse std::path::Path;\n\nuse std::sync::{Arc, Mutex};\n\n\n\nuse amethyst::assets::{AssetStorage, Directory, Handle, Loader, ProgressCounter, Source};\n\nuse amethyst::core::math::Point3;\n\nuse amethyst::ecs::World;\n\n\n\nuse amethyst::error::Error;\n\nuse amethyst::renderer::rendy::{\n\n hal::image::{Filter, Kind, SamplerInfo, ViewKind, WrapMode},\n\n texture::{pixel::AsPixel, pixel::Rgba8Srgb, TextureBuilder},\n\n};\n\nuse amethyst::renderer::{SpriteSheet, Texture};\n\nuse amethyst::tiles::Tile;\n\nuse sheep::{encode, SpriteSheet as PackedSpriteSheet};\n\nuse tiled::{parse_tileset, Tileset};\n\n\n\n#[cfg(feature = \"profiler\")]\n","file_path":"src/lib.rs","rank":23,"score":16.10635376904588},{"content":"\n\nimpl StrategyDesc for StaticLoad {\n\n type Result = Handle;\n\n}\n\n\n\nimpl<'a> LoadStrategy<'a> for StaticLoad {\n\n type SystemData = ();\n\n\n\n fn load(\n\n _map: &Map,\n\n _source: Arc,\n\n _progress: &mut ProgressCounter,\n\n _system_data: &mut Self::SystemData,\n\n ) -> Result {\n\n unimplemented!()\n\n }\n\n}\n\n// ), error: Compat { error: ErrorMessage { msg: \"Format Rgba8Srgb is not supported and no suitable conversion found.\" }\n","file_path":"src/strategy.rs","rank":24,"score":14.95402401187692},{"content":" }\n\n\n\n fn import(\n\n &self,\n\n name: String,\n\n source: Arc,\n\n create_reload: Option>>>,\n\n ) -> Result>, Error> {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"import_tiled_format\");\n\n\n\n let (b, m) = source.load_with_metadata(&name)?;\n\n\n\n let mut map = match parse(&b[..]) {\n\n Ok(v) => v,\n\n Err(e) => return Err(Error::new(e)),\n\n };\n\n\n\n for tileset in &mut map.tilesets {\n\n if let TilesetRef::Path(path, gid) = tileset {\n","file_path":"src/format.rs","rank":25,"score":14.453038938275597},{"content":"//! Module to help pack tile sets and convert them into amethyst\n\n\n\nuse amethyst::assets::Source;\n\nuse amethyst::error::Error;\n\nuse amethyst::renderer::sprite::Sprite;\n\nuse image::{load_from_memory, GenericImage, Pixel, Rgba, RgbaImage};\n\nuse sheep::{\n\n pack, Format, InputSprite, Packer, PackerResult, SimplePacker, SpriteAnchor, SpriteData,\n\n SpriteSheet,\n\n};\n\nuse std::sync::Arc;\n\nuse tiled::Image as TileImage;\n\nuse tiled::Tileset;\n\n\n\n#[cfg(feature = \"profiler\")]\n\nuse thread_profiler::profile_scope;\n\n\n\npub struct AmethystOrderedFormat;\n\n\n\nimpl Format for AmethystOrderedFormat {\n","file_path":"src/packing.rs","rank":27,"score":12.769300628850733},{"content":"use std::path::PathBuf;\n\nuse std::sync::Arc;\n\n\n\nuse amethyst::assets::{Format, FormatValue, Prefab, SingleFile, Source};\n\nuse amethyst::Error;\n\nuse image::{load_from_memory, DynamicImage, ImageError, RgbaImage};\n\nuse tiled::{parse, parse_tileset, TilesetRef};\n\n\n\nuse crate::prefab::TileMapPrefab;\n\nuse crate::strategy::StrategyDesc;\n\n\n\n#[cfg(feature = \"profiler\")]\n\nuse thread_profiler::profile_scope;\n\n\n\n/// Format for loading *.tmx and *.tsx files\n\n#[derive(Debug, Copy, Clone)]\n\npub struct TiledFormat;\n\n\n\nimpl Format> for TiledFormat\n\nwhere\n","file_path":"src/format.rs","rank":28,"score":12.18716707012955},{"content":" let handle = sprite_sheets.insert(sheet);\n\n tilesets.push(tileset.name.to_owned(), handle.clone());\n\n\n\n Ok(handle)\n\n }\n\n }\n\n}\n\n\n\n#[derive(Default)]\n\npub struct Tilesets(Mutex>>);\n\n\n\nimpl Tilesets {\n\n pub fn push(&self, set_name: String, handle: Handle) {\n\n self.0.lock().unwrap().insert(set_name, handle);\n\n }\n\n\n\n pub fn get(&self, set_name: &str) -> Option> {\n\n self.0.lock().unwrap().get(set_name).cloned()\n\n }\n\n}\n","file_path":"src/lib.rs","rank":29,"score":11.928827973488751},{"content":" let packed = pack_tileset_vec(\n\n &map.tilesets\n\n .iter()\n\n .map(|x| x.unwrap().clone())\n\n .collect::>()[..],\n\n source,\n\n )?;\n\n\n\n let map_size = Vector3::new(map.width, map.height, map.layers.len() as u32);\n\n let tile_size = Vector3::new(map.tile_width, map.tile_height, 1);\n\n let sheet = load_sprite_sheet(packed, loader, progress, storage);\n\n\n\n let mut tilemap = TileMap::new(map_size, tile_size, Some(sheets.insert(sheet)));\n\n\n\n for layer in &map.layers {\n\n for y in 0..layer.tiles.len() {\n\n for x in 0..layer.tiles[y].len() {\n\n match tilemap.get_mut(&Point3::new(x as u32, y as u32, layer.layer_index)) {\n\n Some(v) => *v = TileGid(layer.tiles[y][x].gid as usize),\n\n None => unreachable!(\"The map file was corrupt\"),\n","file_path":"src/strategy.rs","rank":30,"score":11.537644544202907},{"content":"use amethyst::{\n\n assets::{PrefabLoader, PrefabLoaderSystemDesc},\n\n core::{math::Vector3, Transform, TransformBundle},\n\n ecs::{Entities, Join, Read, ReadStorage, System, WriteStorage},\n\n input::{InputBundle, InputHandler, StringBindings},\n\n prelude::*,\n\n renderer::{\n\n camera::{ActiveCamera, Camera},\n\n types::DefaultBackend,\n\n RenderToWindow, RenderingBundle,\n\n },\n\n tiles::{FlatEncoder, RenderTiles2D},\n\n utils::application_root_dir,\n\n window::ScreenDimensions,\n\n};\n\n\n\nuse tiled_support::{TileGid, TileMapPrefab, TiledFormat};\n\n\n\n#[derive(Default)]\n\npub struct CameraMovementSystem;\n","file_path":"examples/concept/main.rs","rank":31,"score":9.820234643709911},{"content":"use thread_profiler::profile_scope;\n\n\n\nmod format;\n\npub mod packing;\n\nmod prefab;\n\npub mod strategy;\n\n\n\nuse packing::AmethystOrderedFormat;\n\n\n\npub use format::TiledFormat;\n\npub use prefab::*;\n\npub use strategy::{CompressedLoad, FlatLoad, StaticLoad};\n\n\n\n/// The grid id of a tile\n\n#[repr(transparent)]\n\n#[derive(Copy, Clone, Hash, Default)]\n\npub struct TileGid(usize);\n\n\n\nimpl From for TileGid {\n\n fn from(idx: usize) -> Self {\n","file_path":"src/lib.rs","rank":32,"score":9.628008814336136},{"content":" let tile_usage: Vec = collect_gid_usage(map).into_iter().collect();\n\n\n\n let mut gid_updater = HashMap::new();\n\n\n\n for (new_index, old_index) in tile_usage.iter().enumerate() {\n\n gid_updater.insert(*old_index, new_index);\n\n }\n\n\n\n let packed = pack_sparse_tileset_vec(\n\n &map.tilesets\n\n .iter()\n\n .map(|x| x.unwrap().clone())\n\n .collect::>()[..],\n\n source,\n\n &tile_usage[..],\n\n )?;\n\n\n\n let map_size = Vector3::new(map.width, map.height, map.layers.len() as u32);\n\n let tile_size = Vector3::new(map.tile_width, map.tile_height, 1);\n\n let sheet = load_sprite_sheet(packed, loader, progress, storage);\n","file_path":"src/strategy.rs","rank":33,"score":8.843215097018675},{"content":"# Tiled file format support for Amethyst\n\nThis crate adds prefab loading functionality for Tiled tilemaps into the amethyst game engine.\n\n\n\n## Usage\n\n### Initialization\n\nWhen creating your game, initialize the the prefab loader and include the tile map rendering pass `amethyst_tiles::RenderTiles2D`.\n\n```rust\n\nuse tiled_support::{TileGid, TileMapPrefab};\n\nuse amethyst::tiles::{RenderTiles2D, FlatEncoder};\n\n\n\nlet game_data = GameDataBuilder::default()\n\n .with_system_desc(PrefabLoaderSystemDesc::::default(), \"\", &[])\n\n .with_bundle(\n\n RenderingBundle::::new()\n\n .with_plugin(RenderTiles2D::::default()),\n\n )?;\n\n```\n\n\n\n> **Note:** `FlatEncoder` is mentioned explicitly due to a bug in the default encoder `MortonEncoder2D`. This bug will likely be fixed very soon.\n\n\n\n### Loading a tile map\n\nA tile map can be loaded like any other prefab and added to a texture.\n\n```rust\n\nuse tiled_support::{TiledFormat, TileMapPrefab};\n\n\n\nlet prefab_handle =\n\n world.exec(|loader: PrefabLoader<'_, TileMapPrefab>| {\n\n loader.load(\"prefab/example_map.tmx\", TiledFormat, ())\n\n });\n\n\n\nlet _map_entity = world\n\n .create_entity()\n\n .with(prefab_handle)\n\n .with(Transform::default())\n\n .build();\n\n```\n\n\n\n\n\n\n\n## Features to add:\n\nA list of features I would like to add in the future, but havent had time to do yet.\n\n- [x] Only pack sprites that used in the tile map to save memory and load time spent packing ignored sprites\n\n- [x] Support all image/pixel types (Currently only supports Rgba8) ***Currently all images are converted to Rgba8***\n\n- [x] Use `amethyst::error::Error` everywhere when parsing for consistency\n\n- [ ] Mark flipped tiles so they can be correctly managed by amethyst\n\n- [ ] Support animation sequences via tiles that swap textures periodically\n\n- [ ] Create an easy way to access layer objects stored in tile maps\n\n- [ ] Support image layers\n\n\n\nPlease make an issue if I'm forgetting something important in this list\n\n \n","file_path":"readme.md","rank":34,"score":8.704693785829875},{"content":" #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"pack_tiled_image\");\n\n\n\n let tile_dimensions = match sprites.get(0) {\n\n Some(v) => v.dimensions,\n\n None => {\n\n return vec![PackerResult {\n\n dimensions: (0, 0),\n\n anchors: Vec::new(),\n\n }]\n\n }\n\n };\n\n\n\n let (width, height) = tile_dimensions;\n\n\n\n let mut num = 0;\n\n let mut anchors = Vec::with_capacity(sprites.len());\n\n\n\n for sprite in sprites {\n\n anchors.push(SpriteAnchor {\n","file_path":"src/packing.rs","rank":35,"score":8.58333461541914},{"content":"impl<'s> System<'s> for CameraMovementSystem {\n\n type SystemData = (\n\n Read<'s, ActiveCamera>,\n\n Entities<'s>,\n\n ReadStorage<'s, Camera>,\n\n WriteStorage<'s, Transform>,\n\n Read<'s, InputHandler>,\n\n );\n\n\n\n fn run(&mut self, (active_camera, entities, cameras, mut transforms, input): Self::SystemData) {\n\n let x_move = input.axis_value(\"camera_x\").unwrap();\n\n let y_move = input.axis_value(\"camera_y\").unwrap();\n\n let z_move = input.axis_value(\"camera_z\").unwrap();\n\n let z_move_scale = input.axis_value(\"camera_scale\").unwrap();\n\n\n\n if x_move != 0.0 || y_move != 0.0 || z_move != 0.0 || z_move_scale != 0.0 {\n\n let mut camera_join = (&cameras, &mut transforms).join();\n\n if let Some((_, camera_transform)) = active_camera\n\n .entity\n\n .and_then(|a| camera_join.get(a, &entities))\n","file_path":"examples/concept/main.rs","rank":36,"score":8.486001234282261},{"content":" }\n\n }\n\n}\n\n\n\nimpl Format for TiledFormat {\n\n fn name(&self) -> &'static str {\n\n \"Rgba Image\"\n\n }\n\n\n\n fn import_simple(&self, bytes: Vec) -> Result {\n\n match load_from_memory(&bytes[..])? {\n\n DynamicImage::ImageRgba8(v) => Ok(v),\n\n _ => Err(Error::from_string(\n\n \"Unable to read non rgba8 images\".to_owned(),\n\n )),\n\n }\n\n }\n\n}\n\n\n\n/// Get an adjusted path based on a reference\n","file_path":"src/format.rs","rank":37,"score":7.956162899734954},{"content":" }\n\n }\n\n }\n\n }\n\n\n\n Ok(tilemap)\n\n }\n\n}\n\n\n\n/// A version of FlatLoad that tries to save time and memory by skipping unused tiles when\n\n/// packing the sprite sheet and not leaving the unused tiles stored in memory. On the other hand,\n\n/// if most or all of the tiles are used in the map it the regular version will be faster and use a\n\n/// similar amount of memory.\n\n///\n\n/// In random experimentation, this method was ~2x (23.5s -> 12.6s) as fast as FlatLoad to load the\n\n/// example.\n\n#[derive(Debug, Copy, Clone, Default)]\n\npub struct CompressedLoad(PhantomData);\n\n\n\nimpl StrategyDesc for CompressedLoad {\n","file_path":"src/strategy.rs","rank":38,"score":7.878579639869073},{"content":" let file = shift_path(&name, path);\n\n let source = source.load(&file)?;\n\n\n\n let mut set = parse_tileset(&source[..], *gid)?;\n\n\n\n for image in &mut set.images {\n\n image.source = shift_path(&file, &image.source);\n\n }\n\n\n\n *tileset = TilesetRef::TileSet(set);\n\n }\n\n }\n\n\n\n if let Some(boxed_format) = create_reload {\n\n Ok(FormatValue {\n\n data: TileMapPrefab::Map(map, source.clone()),\n\n reload: Some(Box::new(SingleFile::new(boxed_format, m, name, source))),\n\n })\n\n } else {\n\n Ok(FormatValue::data(TileMapPrefab::Map(map, source)))\n","file_path":"src/format.rs","rank":39,"score":7.5180424119768245},{"content":" TiledFormat: Format,\n\n{\n\n fn name(&self) -> &'static str {\n\n >::name(self)\n\n }\n\n\n\n fn import(\n\n &self,\n\n name: String,\n\n source: Arc,\n\n _: Option>>>,\n\n ) -> Result>, Error> {\n\n let value = >::import(self, name, source, None)?;\n\n Ok(FormatValue::data(Prefab::new_main(value.data)))\n\n }\n\n}\n\n\n\nimpl Format> for TiledFormat {\n\n fn name(&self) -> &'static str {\n\n \"Tile Map\"\n","file_path":"src/format.rs","rank":40,"score":7.340491057839477},{"content":" sprites.extend(input_sprites);\n\n }\n\n }\n\n\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"sheep_pack_image\");\n\n\n\n // There is guaranteed to be exactly one resulting sprite sheet\n\n Ok(pack::(sprites, 4, ()).remove(0))\n\n}\n\n\n","file_path":"src/packing.rs","rank":41,"score":5.787178158426846},{"content":" height: set.tile_height,\n\n margin: set.margin,\n\n spacing: set.spacing,\n\n },\n\n )?);\n\n }\n\n }\n\n\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"sheep_pack_image\");\n\n\n\n // There is guaranteed to be exactly one resulting sprite sheet\n\n Ok(pack::(sprites, 4, ()).remove(0))\n\n}\n","file_path":"src/packing.rs","rank":42,"score":5.425487068397037},{"content":" type Data = Vec;\n\n type Options = ();\n\n\n\n fn encode(\n\n dimensions: (u32, u32),\n\n sprites: &[SpriteAnchor],\n\n _options: Self::Options,\n\n ) -> Self::Data {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"encode_amethyst_format\");\n\n\n\n // Fix ordering issues\n\n let mut inputs = sprites.to_vec();\n\n inputs.sort_by_key(|x| x.id);\n\n\n\n let (width, height) = dimensions;\n\n\n\n inputs\n\n .iter()\n\n .map(|anchor| {\n","file_path":"src/packing.rs","rank":43,"score":5.401496010709112},{"content":"\n\n let mut tilemap = TileMap::new(map_size, tile_size, Some(sheets.insert(sheet)));\n\n\n\n for layer in &map.layers {\n\n for y in 0..layer.tiles.len() {\n\n for x in 0..layer.tiles[y].len() {\n\n let tile_ref =\n\n tilemap.get_mut(&Point3::new(x as u32, y as u32, layer.layer_index));\n\n let tile_idx = gid_updater.get(&layer.tiles[y][x].gid);\n\n\n\n match (tile_ref, tile_idx) {\n\n (Some(tile), Some(index)) => *tile = TileGid(*index),\n\n _ => unreachable!(\"The available tiles should not have changed since the start of the function\"),\n\n }\n\n }\n\n }\n\n }\n\n\n\n Ok(tilemap)\n\n }\n\n}\n\n\n","file_path":"src/strategy.rs","rank":44,"score":4.732508422524042},{"content":" for set in sets {\n\n let mut first_gid = set.first_gid;\n\n\n\n for image in &set.images {\n\n let (input_sprites, len, consumed) = pack_sparse_image(\n\n image,\n\n source.clone(),\n\n TileSpec {\n\n width: set.tile_width,\n\n height: set.tile_height,\n\n margin: set.margin,\n\n spacing: set.spacing,\n\n },\n\n first_gid,\n\n &usage[tile_index..],\n\n )?;\n\n\n\n first_gid += len;\n\n tile_index += consumed;\n\n\n","file_path":"src/packing.rs","rank":45,"score":4.005803213808747},{"content":" #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"load_from_memory\");\n\n\n\n // TODO: Leave images in their original formats and allow amethyst to deal with conversions\n\n // to save memory when possible\n\n load_from_memory(&bytes[..])?.to_rgba()\n\n };\n\n\n\n if let Some(color) = img.transparent_colour {\n\n #[cfg(feature = \"profiler\")]\n\n profile_scope!(\"apply_transparency\");\n\n\n\n let color = Rgba([color.red, color.green, color.blue, 0]);\n\n\n\n for pixel in image.pixels_mut() {\n\n if pixel.to_rgb() == color.to_rgb() {\n\n *pixel = color;\n\n }\n\n }\n\n }\n\n\n\n Ok(image)\n\n}\n\n\n","file_path":"src/packing.rs","rank":46,"score":3.5820943436409047},{"content":" let (pixel_left, pixel_top) = anchor.position;\n\n let (sprite_w, sprite_h) = anchor.dimensions;\n\n Sprite::from_pixel_values(\n\n width, height, sprite_w, sprite_h, pixel_left, pixel_top, [1.0; 2], false,\n\n false,\n\n )\n\n })\n\n .collect()\n\n }\n\n}\n\n\n\n/// A sprite packer that can save time on the packing by assuming all sprites will be the exact same\n\n/// size. Because of this, it can pack everything in a single pass. However, it won't be as easy to\n\n/// view and look at due to all of the sprites being put in a vertical line.\n\npub struct TilePacker;\n\n\n\nimpl Packer for TilePacker {\n\n type Options = ();\n\n\n\n fn pack(sprites: &[SpriteData], _options: Self::Options) -> Vec {\n","file_path":"src/packing.rs","rank":47,"score":3.439085509589959},{"content":" Self(idx)\n\n }\n\n}\n\n\n\nimpl Tile for TileGid {\n\n fn sprite(&self, _: Point3, _: &World) -> Option {\n\n Some(self.0)\n\n }\n\n}\n\n\n","file_path":"src/lib.rs","rank":48,"score":2.1162752642389604},{"content":" id: sprite.id,\n\n position: (0, num * height),\n\n dimensions: tile_dimensions,\n\n });\n\n\n\n num += 1;\n\n }\n\n\n\n vec![PackerResult {\n\n dimensions: (width, num * height),\n\n anchors,\n\n }]\n\n }\n\n}\n\n\n","file_path":"src/packing.rs","rank":49,"score":1.8757348420086595},{"content":" let grid_height = (image.height() - 2 * margin) / (height + spacing);\n\n\n\n let mut sprites = Vec::new();\n\n let mut consumed_tiles = 0;\n\n\n\n for idx in usage.iter() {\n\n if *idx >= first_gid + grid_width * grid_height {\n\n break;\n\n }\n\n consumed_tiles += 1;\n\n\n\n let x = margin + ((idx - first_gid) % grid_width) * (width + spacing);\n\n let y = margin + ((idx - first_gid) / grid_width) * (height + spacing);\n\n\n\n sprites.push(InputSprite {\n\n dimensions: (width, height),\n\n bytes: image.sub_image(x, y, width, height).to_image().into_raw(),\n\n })\n\n }\n\n\n\n Ok((sprites, grid_width * grid_height, consumed_tiles))\n\n}\n\n\n","file_path":"src/packing.rs","rank":50,"score":1.6494102023332862}],"string":"[\n {\n \"content\": \"pub fn pack_tileset(set: &Tileset, source: Arc) -> Result {\\n\\n let mut sprites = Vec::new();\\n\\n\\n\\n for image in &set.images {\\n\\n sprites.extend(pack_image(\\n\\n image,\\n\\n source.clone(),\\n\\n TileSpec {\\n\\n width: set.tile_width,\\n\\n height: set.tile_height,\\n\\n margin: set.margin,\\n\\n spacing: set.spacing,\\n\\n },\\n\\n )?);\\n\\n }\\n\\n\\n\\n // There is guaranteed to be exactly one resulting sprite sheet\\n\\n Ok(pack::(sprites, 4, ()).remove(0))\\n\\n}\\n\\n\\n\\npub struct TileSpec {\\n\\n pub width: u32,\\n\\n pub height: u32,\\n\\n pub margin: u32,\\n\\n pub spacing: u32,\\n\\n}\\n\\n\\n\",\n \"file_path\": \"src/packing.rs\",\n \"rank\": 0,\n \"score\": 115146.93061046876\n },\n {\n \"content\": \"/// Pack a list of tile sets while paying attention to the first grid id\\n\\npub fn pack_tileset_vec(sets: &[Tileset], source: Arc) -> Result {\\n\\n #[cfg(feature = \\\"profiler\\\")]\\n\\n profile_scope!(\\\"pack_tileset_vec\\\");\\n\\n\\n\\n let mut sprites = Vec::new();\\n\\n let tile_size = (sets[0].tile_width, sets[0].tile_height);\\n\\n\\n\\n // Add the see through placeholder.\\n\\n sprites.push(InputSprite {\\n\\n bytes: vec![0; (tile_size.0 * tile_size.1 * 4) as usize],\\n\\n dimensions: tile_size,\\n\\n });\\n\\n\\n\\n for set in sets {\\n\\n for image in &set.images {\\n\\n sprites.extend(pack_image(\\n\\n image,\\n\\n source.clone(),\\n\\n TileSpec {\\n\\n width: set.tile_width,\\n\",\n \"file_path\": \"src/packing.rs\",\n \"rank\": 1,\n \"score\": 112310.16403276738\n },\n {\n \"content\": \"/// Open the image and removes the transparent color\\n\\npub fn open_image(img: &TileImage, source: Arc) -> Result {\\n\\n #[cfg(feature = \\\"profiler\\\")]\\n\\n profile_scope!(\\\"open_image\\\");\\n\\n\\n\\n let bytes = {\\n\\n #[cfg(feature = \\\"profiler\\\")]\\n\\n profile_scope!(\\\"load_image_source\\\");\\n\\n\\n\\n match source.load(&img.source) {\\n\\n Ok(v) => v,\\n\\n Err(_) => {\\n\\n return Err(Error::from_string(format!(\\n\\n \\\"Unable to open image path: {:?}\\\",\\n\\n &img.source\\n\\n )));\\n\\n }\\n\\n }\\n\\n };\\n\\n\\n\\n let mut image = {\\n\",\n \"file_path\": \"src/packing.rs\",\n \"rank\": 2,\n \"score\": 79333.17489135731\n },\n {\n \"content\": \"pub fn pack_sparse_tileset_vec(\\n\\n sets: &[Tileset],\\n\\n source: Arc,\\n\\n usage: &[u32],\\n\\n) -> Result