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61 changed files with 5450 additions and 8035 deletions

126
Cargo.lock generated
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@ -105,9 +105,9 @@ checksum = "349f9b6a179ed607305526ca489b34ad0a41aed5f7980fa90eb03160b69598fb"
[[package]]
name = "bitflags"
version = "2.6.0"
version = "2.5.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b048fb63fd8b5923fc5aa7b340d8e156aec7ec02f0c78fa8a6ddc2613f6f71de"
checksum = "cf4b9d6a944f767f8e5e0db018570623c85f3d925ac718db4e06d0187adb21c1"
[[package]]
name = "byteorder"
@ -117,9 +117,9 @@ checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
[[package]]
name = "cc"
version = "1.1.0"
version = "1.0.99"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "eaff6f8ce506b9773fa786672d63fc7a191ffea1be33f72bbd4aeacefca9ffc8"
checksum = "96c51067fd44124faa7f870b4b1c969379ad32b2ba805aa959430ceaa384f695"
[[package]]
name = "cfg-if"
@ -129,9 +129,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
[[package]]
name = "clap"
version = "4.5.9"
version = "4.5.7"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "64acc1846d54c1fe936a78dc189c34e28d3f5afc348403f28ecf53660b9b8462"
checksum = "5db83dced34638ad474f39f250d7fea9598bdd239eaced1bdf45d597da0f433f"
dependencies = [
"clap_builder",
"clap_derive",
@ -139,9 +139,9 @@ dependencies = [
[[package]]
name = "clap_builder"
version = "4.5.9"
version = "4.5.7"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6fb8393d67ba2e7bfaf28a23458e4e2b543cc73a99595511eb207fdb8aede942"
checksum = "f7e204572485eb3fbf28f871612191521df159bc3e15a9f5064c66dba3a8c05f"
dependencies = [
"anstream",
"anstyle",
@ -151,14 +151,14 @@ dependencies = [
[[package]]
name = "clap_derive"
version = "4.5.8"
version = "4.5.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "2bac35c6dafb060fd4d275d9a4ffae97917c13a6327903a8be2153cd964f7085"
checksum = "c780290ccf4fb26629baa7a1081e68ced113f1d3ec302fa5948f1c381ebf06c6"
dependencies = [
"heck 0.5.0",
"proc-macro2",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -270,9 +270,9 @@ dependencies = [
[[package]]
name = "either"
version = "1.13.0"
version = "1.12.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "60b1af1c220855b6ceac025d3f6ecdd2b7c4894bfe9cd9bda4fbb4bc7c0d4cf0"
checksum = "3dca9240753cf90908d7e4aac30f630662b02aebaa1b58a3cadabdb23385b58b"
[[package]]
name = "ena"
@ -421,7 +421,7 @@ checksum = "4fa4d8d74483041a882adaa9a29f633253a66dde85055f0495c121620ac484b2"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -501,9 +501,9 @@ dependencies = [
[[package]]
name = "lazy_static"
version = "1.5.0"
version = "1.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "bbd2bcb4c963f2ddae06a2efc7e9f3591312473c50c6685e1f298068316e66fe"
checksum = "e2abad23fbc42b3700f2f279844dc832adb2b2eb069b2df918f455c4e18cc646"
[[package]]
name = "libc"
@ -513,9 +513,9 @@ checksum = "97b3888a4aecf77e811145cadf6eef5901f4782c53886191b2f693f24761847c"
[[package]]
name = "libloading"
version = "0.8.4"
version = "0.8.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e310b3a6b5907f99202fcdb4960ff45b93735d7c7d96b760fcff8db2dc0e103d"
checksum = "0c2a198fb6b0eada2a8df47933734e6d35d350665a33a3593d7164fa52c75c19"
dependencies = [
"cfg-if",
"windows-targets",
@ -568,9 +568,9 @@ dependencies = [
[[package]]
name = "log"
version = "0.4.22"
version = "0.4.21"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a7a70ba024b9dc04c27ea2f0c0548feb474ec5c54bba33a7f72f873a39d07b24"
checksum = "90ed8c1e510134f979dbc4f070f87d4313098b704861a105fe34231c70a3901c"
[[package]]
name = "memchr"
@ -749,7 +749,7 @@ dependencies = [
"phf_shared 0.11.2",
"proc-macro2",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -796,9 +796,9 @@ checksum = "925383efa346730478fb4838dbe9137d2a47675ad789c546d150a6e1dd4ab31c"
[[package]]
name = "proc-macro2"
version = "1.0.86"
version = "1.0.85"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5e719e8df665df0d1c8fbfd238015744736151d4445ec0836b8e628aae103b77"
checksum = "22244ce15aa966053a896d1accb3a6e68469b97c7f33f284b99f0d576879fc23"
dependencies = [
"unicode-ident",
]
@ -850,7 +850,7 @@ dependencies = [
"proc-macro2",
"pyo3-macros-backend",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -863,7 +863,7 @@ dependencies = [
"proc-macro2",
"pyo3-build-config",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -1029,29 +1029,29 @@ checksum = "61697e0a1c7e512e84a621326239844a24d8207b4669b41bc18b32ea5cbf988b"
[[package]]
name = "serde"
version = "1.0.204"
version = "1.0.203"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "bc76f558e0cbb2a839d37354c575f1dc3fdc6546b5be373ba43d95f231bf7c12"
checksum = "7253ab4de971e72fb7be983802300c30b5a7f0c2e56fab8abfc6a214307c0094"
dependencies = [
"serde_derive",
]
[[package]]
name = "serde_derive"
version = "1.0.204"
version = "1.0.203"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e0cd7e117be63d3c3678776753929474f3b04a43a080c744d6b0ae2a8c28e222"
checksum = "500cbc0ebeb6f46627f50f3f5811ccf6bf00643be300b4c3eabc0ef55dc5b5ba"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
name = "serde_json"
version = "1.0.120"
version = "1.0.117"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4e0d21c9a8cae1235ad58a00c11cb40d4b1e5c784f1ef2c537876ed6ffd8b7c5"
checksum = "455182ea6142b14f93f4bc5320a2b31c1f266b66a4a5c858b013302a5d8cbfc3"
dependencies = [
"itoa",
"ryu",
@ -1120,9 +1120,9 @@ checksum = "7da8b5736845d9f2fcb837ea5d9e2628564b3b043a70948a3f0b778838c5fb4f"
[[package]]
name = "strum"
version = "0.26.3"
version = "0.26.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8fec0f0aef304996cf250b31b5a10dee7980c85da9d759361292b8bca5a18f06"
checksum = "5d8cec3501a5194c432b2b7976db6b7d10ec95c253208b45f83f7136aa985e29"
[[package]]
name = "strum_macros"
@ -1134,7 +1134,7 @@ dependencies = [
"proc-macro2",
"quote",
"rustversion",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -1150,9 +1150,9 @@ dependencies = [
[[package]]
name = "syn"
version = "2.0.70"
version = "2.0.66"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "2f0209b68b3613b093e0ec905354eccaedcfe83b8cb37cbdeae64026c3064c16"
checksum = "c42f3f41a2de00b01c0aaad383c5a45241efc8b2d1eda5661812fda5f3cdcff5"
dependencies = [
"proc-macro2",
"quote",
@ -1161,9 +1161,9 @@ dependencies = [
[[package]]
name = "target-lexicon"
version = "0.12.15"
version = "0.12.14"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4873307b7c257eddcb50c9bedf158eb669578359fb28428bef438fec8e6ba7c2"
checksum = "e1fc403891a21bcfb7c37834ba66a547a8f402146eba7265b5a6d88059c9ff2f"
[[package]]
name = "tempfile"
@ -1218,7 +1218,7 @@ checksum = "46c3384250002a6d5af4d114f2845d37b57521033f30d5c3f46c4d70e1197533"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]
[[package]]
@ -1398,9 +1398,9 @@ dependencies = [
[[package]]
name = "windows-targets"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9b724f72796e036ab90c1021d4780d4d3d648aca59e491e6b98e725b84e99973"
checksum = "6f0713a46559409d202e70e28227288446bf7841d3211583a4b53e3f6d96e7eb"
dependencies = [
"windows_aarch64_gnullvm",
"windows_aarch64_msvc",
@ -1414,51 +1414,51 @@ dependencies = [
[[package]]
name = "windows_aarch64_gnullvm"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "32a4622180e7a0ec044bb555404c800bc9fd9ec262ec147edd5989ccd0c02cd3"
checksum = "7088eed71e8b8dda258ecc8bac5fb1153c5cffaf2578fc8ff5d61e23578d3263"
[[package]]
name = "windows_aarch64_msvc"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "09ec2a7bb152e2252b53fa7803150007879548bc709c039df7627cabbd05d469"
checksum = "9985fd1504e250c615ca5f281c3f7a6da76213ebd5ccc9561496568a2752afb6"
[[package]]
name = "windows_i686_gnu"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8e9b5ad5ab802e97eb8e295ac6720e509ee4c243f69d781394014ebfe8bbfa0b"
checksum = "88ba073cf16d5372720ec942a8ccbf61626074c6d4dd2e745299726ce8b89670"
[[package]]
name = "windows_i686_gnullvm"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0eee52d38c090b3caa76c563b86c3a4bd71ef1a819287c19d586d7334ae8ed66"
checksum = "87f4261229030a858f36b459e748ae97545d6f1ec60e5e0d6a3d32e0dc232ee9"
[[package]]
name = "windows_i686_msvc"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "240948bc05c5e7c6dabba28bf89d89ffce3e303022809e73deaefe4f6ec56c66"
checksum = "db3c2bf3d13d5b658be73463284eaf12830ac9a26a90c717b7f771dfe97487bf"
[[package]]
name = "windows_x86_64_gnu"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "147a5c80aabfbf0c7d901cb5895d1de30ef2907eb21fbbab29ca94c5b08b1a78"
checksum = "4e4246f76bdeff09eb48875a0fd3e2af6aada79d409d33011886d3e1581517d9"
[[package]]
name = "windows_x86_64_gnullvm"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "24d5b23dc417412679681396f2b49f3de8c1473deb516bd34410872eff51ed0d"
checksum = "852298e482cd67c356ddd9570386e2862b5673c85bd5f88df9ab6802b334c596"
[[package]]
name = "windows_x86_64_msvc"
version = "0.52.6"
version = "0.52.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
checksum = "bec47e5bfd1bff0eeaf6d8b485cc1074891a197ab4225d504cb7a1ab88b02bf0"
[[package]]
name = "yaml-rust"
@ -1471,20 +1471,20 @@ dependencies = [
[[package]]
name = "zerocopy"
version = "0.7.35"
version = "0.7.34"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
checksum = "ae87e3fcd617500e5d106f0380cf7b77f3c6092aae37191433159dda23cfb087"
dependencies = [
"zerocopy-derive",
]
[[package]]
name = "zerocopy-derive"
version = "0.7.35"
version = "0.7.34"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
checksum = "15e934569e47891f7d9411f1a451d947a60e000ab3bd24fbb970f000387d1b3b"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.70",
"syn 2.0.66",
]

View File

@ -2,11 +2,11 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1720418205,
"narHash": "sha256-cPJoFPXU44GlhWg4pUk9oUPqurPlCFZ11ZQPk21GTPU=",
"lastModified": 1718530797,
"narHash": "sha256-pup6cYwtgvzDpvpSCFh1TEUjw2zkNpk8iolbKnyFmmU=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "655a58a72a6601292512670343087c2d75d859c1",
"rev": "b60ebf54c15553b393d144357375ea956f89e9a9",
"type": "github"
},
"original": {

View File

@ -13,7 +13,6 @@
''
mkdir -p $out/bin
ln -s ${pkgs.llvmPackages_14.clang-unwrapped}/bin/clang $out/bin/clang-irrt
ln -s ${pkgs.llvmPackages_14.clang}/bin/clang $out/bin/clang-irrt-test
ln -s ${pkgs.llvmPackages_14.llvm.out}/bin/llvm-as $out/bin/llvm-as-irrt
'';
nac3artiq = pkgs.python3Packages.toPythonModule (
@ -24,7 +23,6 @@
cargoLock = {
lockFile = ./Cargo.lock;
};
cargoTestFlags = [ "--features" "test" ];
passthru.cargoLock = cargoLock;
nativeBuildInputs = [ pkgs.python3 pkgs.llvmPackages_14.clang llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
buildInputs = [ pkgs.python3 llvm-nac3 ];
@ -163,10 +161,7 @@
clippy
pre-commit
rustfmt
rust-analyzer
];
# https://nixos.wiki/wiki/Rust#Shell.nix_example
RUST_SRC_PATH = "${pkgs.rust.packages.stable.rustPlatform.rustLibSrc}";
};
devShells.x86_64-linux.msys2 = pkgs.mkShell {
name = "nac3-dev-shell-msys2";

View File

@ -1,40 +0,0 @@
from min_artiq import *
from numpy import int32
@nac3
class Demo:
attr1: KernelInvariant[int32] = 2
attr2: int32 = 4
attr3: Kernel[int32]
@kernel
def __init__(self):
self.attr3 = 8
@nac3
class NAC3Devices:
core: KernelInvariant[Core]
attr4: KernelInvariant[int32] = 16
def __init__(self):
self.core = Core()
@kernel
def run(self):
Demo.attr1 # Supported
# Demo.attr2 # Field not accessible on Kernel
# Demo.attr3 # Only attributes can be accessed in this way
# Demo.attr1 = 2 # Attributes are immutable
self.attr4 # Attributes can be accessed within class
obj = Demo()
obj.attr1 # Attributes can be accessed by class objects
NAC3Devices.attr4 # Attributes accessible for classes without __init__
if __name__ == "__main__":
NAC3Devices().run()

View File

@ -6,8 +6,8 @@ use nac3core::{
CodeGenContext, CodeGenerator,
},
symbol_resolver::ValueEnum,
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId, GenCall},
typecheck::typedef::{iter_type_vars, FunSignature, FuncArg, Type, TypeEnum, VarMap},
toplevel::{helper::PrimDef, DefinitionId, GenCall},
typecheck::typedef::{FunSignature, FuncArg, Type, TypeEnum, VarMap},
};
use nac3parser::ast::{Expr, ExprKind, Located, Stmt, StmtKind, StrRef};
@ -23,6 +23,7 @@ use pyo3::{
use crate::{symbol_resolver::InnerResolver, timeline::TimeFns};
use nac3core::toplevel::numpy::unpack_ndarray_var_tys;
use std::{
collections::hash_map::DefaultHasher,
collections::HashMap,
@ -393,11 +394,9 @@ fn gen_rpc_tag(
gen_rpc_tag(ctx, *ty, buffer)?;
}
}
TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let ty = iter_type_vars(params).next().unwrap().ty;
TList { ty } => {
buffer.push(b'l');
gen_rpc_tag(ctx, ty, buffer)?;
gen_rpc_tag(ctx, *ty, buffer)?;
}
TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
let (ndarray_dtype, ndarray_ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
@ -658,7 +657,7 @@ pub fn attributes_writeback(
}
if gen_rpc_tag(ctx, *field_ty, &mut scratch_buffer).is_ok() {
attributes.push(name.to_string());
let (index, _) = ctx.get_attr_index(ty, *name);
let index = ctx.get_attr_index(ty, *name);
values.push((
*field_ty,
ctx.build_gep_and_load(
@ -676,10 +675,8 @@ pub fn attributes_writeback(
host_attributes.append(pydict)?;
}
}
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let elem_ty = iter_type_vars(params).next().unwrap().ty;
if gen_rpc_tag(ctx, elem_ty, &mut scratch_buffer).is_ok() {
TypeEnum::TList { ty: elem_ty } => {
if gen_rpc_tag(ctx, *elem_ty, &mut scratch_buffer).is_ok() {
let pydict = PyDict::new(py);
pydict.set_item("obj", val)?;
host_attributes.append(pydict)?;

View File

@ -329,19 +329,8 @@ impl InnerResolver {
Ok(Ok((primitives.exception, true)))
} else if ty_id == self.primitive_ids.list {
// do not handle type var param and concrete check here
let list_tvar = if let TypeEnum::TObj { obj_id, params, .. } =
&*unifier.get_ty_immutable(primitives.list)
{
assert_eq!(*obj_id, PrimDef::List.id());
iter_type_vars(params).nth(0).unwrap()
} else {
unreachable!()
};
let var = unifier.get_dummy_var().ty;
let list = unifier
.subst(primitives.list, &into_var_map([TypeVar { id: list_tvar.id, ty: var }]))
.unwrap();
let list = unifier.add_ty(TypeEnum::TList { ty: var });
Ok(Ok((list, false)))
} else if ty_id == self.primitive_ids.ndarray {
// do not handle type var param and concrete check here
@ -471,7 +460,7 @@ impl InnerResolver {
};
match &*unifier.get_ty(origin_ty) {
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
TypeEnum::TList { .. } => {
if args.len() == 1 {
let ty = match self.get_pyty_obj_type(
py,
@ -488,21 +477,7 @@ impl InnerResolver {
"type list should take concrete parameters in typevar range".into(),
));
}
let list_tvar = if let TypeEnum::TObj { obj_id, params, .. } =
&*unifier.get_ty_immutable(primitives.list)
{
assert_eq!(*obj_id, PrimDef::List.id());
iter_type_vars(params).nth(0).unwrap()
} else {
unreachable!()
};
let list = unifier
.subst(
primitives.list,
&into_var_map([TypeVar { id: list_tvar.id, ty: ty.0 }]),
)
.unwrap();
Ok(Ok((list, true)))
Ok(Ok((unifier.add_ty(TypeEnum::TList { ty: ty.0 }), true)))
} else {
return Ok(Err(format!(
"type list needs exactly 1 type parameters, found {}",
@ -652,9 +627,7 @@ impl InnerResolver {
let pyid_to_def = self.pyid_to_def.read();
let constructor_ty = pyid_to_def.get(&py_obj_id).and_then(|def_id| {
defs.iter().find_map(|def| {
if let Some(rear_guard) = def.try_read() {
if let TopLevelDef::Class { object_id, methods, constructor, .. } = &*rear_guard
{
if let TopLevelDef::Class { object_id, methods, constructor, .. } = &*def.read() {
if object_id == def_id
&& constructor.is_some()
&& methods.iter().any(|(s, _, _)| s == &"__init__".into())
@ -662,7 +635,6 @@ impl InnerResolver {
return *constructor;
}
}
}
None
})
});
@ -692,38 +664,15 @@ impl InnerResolver {
primitives,
)? {
Ok(s) => s,
Err(e) => {
// Allow access to Class Attributes of Classes without having to initialize Objects
if self.pyid_to_def.read().contains_key(&py_obj_id) {
if let Some(def_id) = self.pyid_to_def.read().get(&py_obj_id).copied() {
let def = defs[def_id.0].read();
let TopLevelDef::Class { object_id, .. } = &*def else {
// only object is supported, functions are not supported
unreachable!("function type is not supported, should not be queried")
};
let ty = TypeEnum::TObj {
obj_id: *object_id,
params: VarMap::new(),
fields: HashMap::new(),
};
(unifier.add_ty(ty), true)
} else {
return Ok(Err(e));
}
} else {
return Ok(Err(e));
}
}
Err(e) => return Ok(Err(e)),
};
match (&*unifier.get_ty(extracted_ty), inst_check) {
// do the instantiation for these four types
(TypeEnum::TObj { obj_id, params, .. }, false) if *obj_id == PrimDef::List.id() => {
let ty = iter_type_vars(params).nth(0).unwrap().ty;
(TypeEnum::TList { ty }, false) => {
let len: usize = self.helper.len_fn.call1(py, (obj,))?.extract(py)?;
if len == 0 {
assert!(matches!(
&*unifier.get_ty(ty),
&*unifier.get_ty(*ty),
TypeEnum::TVar { fields: None, range, .. }
if range.is_empty()
));
@ -732,25 +681,8 @@ impl InnerResolver {
let actual_ty =
self.get_list_elem_type(py, obj, len, unifier, defs, primitives)?;
match actual_ty {
Ok(t) => match unifier.unify(ty, t) {
Ok(()) => {
let list_tvar = if let TypeEnum::TObj { obj_id, params, .. } =
&*unifier.get_ty_immutable(primitives.list)
{
assert_eq!(*obj_id, PrimDef::List.id());
iter_type_vars(params).nth(0).unwrap()
} else {
unreachable!()
};
let list = unifier
.subst(
primitives.list,
&into_var_map([TypeVar { id: list_tvar.id, ty }]),
)
.unwrap();
Ok(Ok(list))
}
Ok(t) => match unifier.unify(*ty, t) {
Ok(()) => Ok(Ok(unifier.add_ty(TypeEnum::TList { ty: *ty }))),
Err(e) => Ok(Err(format!(
"type error ({}) for the list",
e.to_display(unifier)
@ -985,11 +917,12 @@ impl InnerResolver {
}
let len: usize = self.helper.len_fn.call1(py, (obj,))?.extract(py)?;
let elem_ty = match ctx.unifier.get_ty_immutable(expected_ty).as_ref() {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
iter_type_vars(params).nth(0).unwrap().ty
}
_ => unreachable!("must be list"),
let elem_ty = if let TypeEnum::TList { ty } =
ctx.unifier.get_ty_immutable(expected_ty).as_ref()
{
*ty
} else {
unreachable!("must be list")
};
let ty = ctx.get_llvm_type(generator, elem_ty);
let size_t = generator.get_size_type(ctx.ctx);

View File

@ -10,7 +10,7 @@ constant-optimization = ["fold"]
fold = []
[dependencies]
lazy_static = "1.5"
lazy_static = "1.4"
parking_lot = "0.12"
string-interner = "0.17"
fxhash = "0.2"

View File

@ -1,6 +1,3 @@
[features]
test = []
[package]
name = "nac3core"
version = "0.1.0"

View File

@ -7,8 +7,8 @@ use std::{
process::{Command, Stdio},
};
fn compile_irrt(irrt_dir: &Path, out_dir: &Path) {
let irrt_cpp_path = irrt_dir.join("irrt.cpp");
fn main() {
const FILE: &str = "src/codegen/irrt/irrt.c";
/*
* HACK: Sadly, clang doesn't let us emit generic LLVM bitcode.
@ -16,12 +16,8 @@ fn compile_irrt(irrt_dir: &Path, out_dir: &Path) {
*/
let flags: &[&str] = &[
"--target=wasm32",
irrt_cpp_path.to_str().unwrap(),
"-x",
"c++",
FILE,
"-fno-discard-value-names",
"-fno-exceptions",
"-fno-rtti",
match env::var("PROFILE").as_deref() {
Ok("debug") => "-O0",
Ok("release") => "-O3",
@ -31,14 +27,13 @@ fn compile_irrt(irrt_dir: &Path, out_dir: &Path) {
"-S",
"-Wall",
"-Wextra",
"-Werror=return-type",
"-I",
irrt_dir.to_str().unwrap(),
"-o",
"-",
];
println!("cargo:rerun-if-changed={}", out_dir.to_str().unwrap());
println!("cargo:rerun-if-changed={FILE}");
let out_dir = env::var("OUT_DIR").unwrap();
let out_path = Path::new(&out_dir);
let output = Command::new("clang-irrt")
.args(flags)
@ -53,11 +48,7 @@ fn compile_irrt(irrt_dir: &Path, out_dir: &Path) {
let output = std::str::from_utf8(&output.stdout).unwrap().replace("\r\n", "\n");
let mut filtered_output = String::with_capacity(output.len());
// (?ms:^define.*?\}$) to capture `define` blocks
// (?m:^declare.*?$) to capture `declare` blocks
// (?m:^%.+?=\s*type\s*\{.+?\}$) to capture `type` declarations
let regex_filter =
Regex::new(r"(?ms:^define.*?\}$)|(?m:^declare.*?$)|(?m:^%.+?=\s*type\s*\{.+?\}$)").unwrap();
let regex_filter = Regex::new(r"(?ms:^define.*?\}$)|(?m:^declare.*?$)").unwrap();
for f in regex_filter.captures_iter(&output) {
assert_eq!(f.len(), 1);
filtered_output.push_str(&f[0]);
@ -70,65 +61,18 @@ fn compile_irrt(irrt_dir: &Path, out_dir: &Path) {
println!("cargo:rerun-if-env-changed=DEBUG_DUMP_IRRT");
if env::var("DEBUG_DUMP_IRRT").is_ok() {
let mut file = File::create(out_dir.join("irrt.ll")).unwrap();
let mut file = File::create(out_path.join("irrt.ll")).unwrap();
file.write_all(output.as_bytes()).unwrap();
let mut file = File::create(out_dir.join("irrt-filtered.ll")).unwrap();
let mut file = File::create(out_path.join("irrt-filtered.ll")).unwrap();
file.write_all(filtered_output.as_bytes()).unwrap();
}
let mut llvm_as = Command::new("llvm-as-irrt")
.stdin(Stdio::piped())
.arg("-o")
.arg(out_dir.join("irrt.bc"))
.arg(out_path.join("irrt.bc"))
.spawn()
.unwrap();
llvm_as.stdin.as_mut().unwrap().write_all(filtered_output.as_bytes()).unwrap();
assert!(llvm_as.wait().unwrap().success());
}
fn compile_irrt_test(irrt_dir: &Path, out_dir: &Path) {
let irrt_test_cpp_path = irrt_dir.join("irrt_test.cpp");
let exe_path = out_dir.join("irrt_test.out");
let flags: &[&str] = &[
irrt_test_cpp_path.to_str().unwrap(),
"-x",
"c++",
"-I",
irrt_dir.to_str().unwrap(),
"-g",
"-fno-discard-value-names",
"-O0",
"-Wall",
"-Wextra",
"-Werror=return-type",
"-lm", // for `tgamma()`, `lgamma()`
"-o",
exe_path.to_str().unwrap(),
];
Command::new("clang-irrt-test")
.args(flags)
.output()
.map(|o| {
assert!(o.status.success(), "{}", std::str::from_utf8(&o.stderr).unwrap());
o
})
.unwrap();
println!("cargo:rerun-if-changed={}", out_dir.to_str().unwrap());
}
fn main() {
let out_dir = env::var("OUT_DIR").unwrap();
let out_dir = Path::new(&out_dir);
let irrt_dir = Path::new("./irrt");
compile_irrt(irrt_dir, out_dir);
// https://github.com/rust-lang/cargo/issues/2549
// `cargo test -F test` to also build `irrt_test.cpp
if cfg!(feature = "test") {
compile_irrt_test(irrt_dir, out_dir);
}
}

View File

@ -1,5 +0,0 @@
#include "irrt_everything.hpp"
/*
This file will be read by `clang-irrt` to conveniently produce LLVM IR for `nac3core/codegen`.
*/

View File

@ -1,437 +0,0 @@
#ifndef IRRT_DONT_TYPEDEF_INTS
typedef _BitInt(8) int8_t;
typedef unsigned _BitInt(8) uint8_t;
typedef _BitInt(32) int32_t;
typedef unsigned _BitInt(32) uint32_t;
typedef _BitInt(64) int64_t;
typedef unsigned _BitInt(64) uint64_t;
#endif
// NDArray indices are always `uint32_t`.
typedef uint32_t NDIndex;
// The type of an index or a value describing the length of a range/slice is
// always `int32_t`.
typedef int32_t SliceIndex;
template <typename T>
static T max(T a, T b) {
return a > b ? a : b;
}
template <typename T>
static T min(T a, T b) {
return a > b ? b : a;
}
// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
// need to make sure `exp >= 0` before calling this function
template <typename T>
static T __nac3_int_exp_impl(T base, T exp) {
T res = 1;
/* repeated squaring method */
do {
if (exp & 1) {
res *= base; /* for n odd */
}
exp >>= 1;
base *= base;
} while (exp);
return res;
}
template <typename SizeT>
static SizeT __nac3_ndarray_calc_size_impl(
const SizeT *list_data,
SizeT list_len,
SizeT begin_idx,
SizeT end_idx
) {
__builtin_assume(end_idx <= list_len);
SizeT num_elems = 1;
for (SizeT i = begin_idx; i < end_idx; ++i) {
SizeT val = list_data[i];
__builtin_assume(val > 0);
num_elems *= val;
}
return num_elems;
}
template <typename SizeT>
static void __nac3_ndarray_calc_nd_indices_impl(
SizeT index,
const SizeT *dims,
SizeT num_dims,
NDIndex *idxs
) {
SizeT stride = 1;
for (SizeT dim = 0; dim < num_dims; dim++) {
SizeT i = num_dims - dim - 1;
__builtin_assume(dims[i] > 0);
idxs[i] = (index / stride) % dims[i];
stride *= dims[i];
}
}
template <typename SizeT>
static SizeT __nac3_ndarray_flatten_index_impl(
const SizeT *dims,
SizeT num_dims,
const NDIndex *indices,
SizeT num_indices
) {
SizeT idx = 0;
SizeT stride = 1;
for (SizeT i = 0; i < num_dims; ++i) {
SizeT ri = num_dims - i - 1;
if (ri < num_indices) {
idx += stride * indices[ri];
}
__builtin_assume(dims[i] > 0);
stride *= dims[ri];
}
return idx;
}
template <typename SizeT>
static void __nac3_ndarray_calc_broadcast_impl(
const SizeT *lhs_dims,
SizeT lhs_ndims,
const SizeT *rhs_dims,
SizeT rhs_ndims,
SizeT *out_dims
) {
SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
for (SizeT i = 0; i < max_ndims; ++i) {
const SizeT *lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr;
const SizeT *rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr;
SizeT *out_dim = &out_dims[max_ndims - i - 1];
if (lhs_dim_sz == nullptr) {
*out_dim = *rhs_dim_sz;
} else if (rhs_dim_sz == nullptr) {
*out_dim = *lhs_dim_sz;
} else if (*lhs_dim_sz == 1) {
*out_dim = *rhs_dim_sz;
} else if (*rhs_dim_sz == 1) {
*out_dim = *lhs_dim_sz;
} else if (*lhs_dim_sz == *rhs_dim_sz) {
*out_dim = *lhs_dim_sz;
} else {
__builtin_unreachable();
}
}
}
template <typename SizeT>
static void __nac3_ndarray_calc_broadcast_idx_impl(
const SizeT *src_dims,
SizeT src_ndims,
const NDIndex *in_idx,
NDIndex *out_idx
) {
for (SizeT i = 0; i < src_ndims; ++i) {
SizeT src_i = src_ndims - i - 1;
out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i];
}
}
template<typename SizeT>
static void __nac3_ndarray_strides_from_shape_impl(
SizeT ndims,
SizeT *shape,
SizeT *dst_strides
) {
SizeT stride_product = 1;
for (SizeT i = 0; i < ndims; i++) {
int dim_i = ndims - i - 1;
dst_strides[dim_i] = stride_product;
stride_product *= shape[dim_i];
}
}
extern "C" {
#define DEF_nac3_int_exp_(T) \
T __nac3_int_exp_##T(T base, T exp) {\
return __nac3_int_exp_impl(base, exp);\
}
DEF_nac3_int_exp_(int32_t)
DEF_nac3_int_exp_(int64_t)
DEF_nac3_int_exp_(uint32_t)
DEF_nac3_int_exp_(uint64_t)
SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
if (i < 0) {
i = len + i;
}
if (i < 0) {
return 0;
} else if (i > len) {
return len;
}
return i;
}
SliceIndex __nac3_range_slice_len(
const SliceIndex start,
const SliceIndex end,
const SliceIndex step
) {
SliceIndex diff = end - start;
if (diff > 0 && step > 0) {
return ((diff - 1) / step) + 1;
} else if (diff < 0 && step < 0) {
return ((diff + 1) / step) + 1;
} else {
return 0;
}
}
// Handle list assignment and dropping part of the list when
// both dest_step and src_step are +1.
// - All the index must *not* be out-of-bound or negative,
// - The end index is *inclusive*,
// - The length of src and dest slice size should already
// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
SliceIndex __nac3_list_slice_assign_var_size(
SliceIndex dest_start,
SliceIndex dest_end,
SliceIndex dest_step,
uint8_t *dest_arr,
SliceIndex dest_arr_len,
SliceIndex src_start,
SliceIndex src_end,
SliceIndex src_step,
uint8_t *src_arr,
SliceIndex src_arr_len,
const SliceIndex size
) {
/* if dest_arr_len == 0, do nothing since we do not support extending list */
if (dest_arr_len == 0) return dest_arr_len;
/* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
if (src_step == dest_step && dest_step == 1) {
const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
if (src_len > 0) {
__builtin_memmove(
dest_arr + dest_start * size,
src_arr + src_start * size,
src_len * size
);
}
if (dest_len > 0) {
/* dropping */
__builtin_memmove(
dest_arr + (dest_start + src_len) * size,
dest_arr + (dest_end + 1) * size,
(dest_arr_len - dest_end - 1) * size
);
}
/* shrink size */
return dest_arr_len - (dest_len - src_len);
}
/* if two range overlaps, need alloca */
uint8_t need_alloca =
(dest_arr == src_arr)
&& !(
max(dest_start, dest_end) < min(src_start, src_end)
|| max(src_start, src_end) < min(dest_start, dest_end)
);
if (need_alloca) {
uint8_t *tmp = reinterpret_cast<uint8_t *>(__builtin_alloca(src_arr_len * size));
__builtin_memcpy(tmp, src_arr, src_arr_len * size);
src_arr = tmp;
}
SliceIndex src_ind = src_start;
SliceIndex dest_ind = dest_start;
for (;
(src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end);
src_ind += src_step, dest_ind += dest_step
) {
/* for constant optimization */
if (size == 1) {
__builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1);
} else if (size == 4) {
__builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
} else if (size == 8) {
__builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8);
} else {
/* memcpy for var size, cannot overlap after previous alloca */
__builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
}
}
/* only dest_step == 1 can we shrink the dest list. */
/* size should be ensured prior to calling this function */
if (dest_step == 1 && dest_end >= dest_start) {
__builtin_memmove(
dest_arr + dest_ind * size,
dest_arr + (dest_end + 1) * size,
(dest_arr_len - dest_end - 1) * size
);
return dest_arr_len - (dest_end - dest_ind) - 1;
}
return dest_arr_len;
}
int32_t __nac3_isinf(double x) {
return __builtin_isinf(x);
}
int32_t __nac3_isnan(double x) {
return __builtin_isnan(x);
}
double tgamma(double arg);
double __nac3_gamma(double z) {
// Handling for denormals
// | x | Python gamma(x) | C tgamma(x) |
// --- | ----------------- | --------------- | ----------- |
// (1) | nan | nan | nan |
// (2) | -inf | -inf | inf |
// (3) | inf | inf | inf |
// (4) | 0.0 | inf | inf |
// (5) | {-1.0, -2.0, ...} | inf | nan |
// (1)-(3)
if (__builtin_isinf(z) || __builtin_isnan(z)) {
return z;
}
double v = tgamma(z);
// (4)-(5)
return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
}
double lgamma(double arg);
double __nac3_gammaln(double x) {
// libm's handling of value overflows differs from scipy:
// - scipy: gammaln(-inf) -> -inf
// - libm : lgamma(-inf) -> inf
if (__builtin_isinf(x)) {
return x;
}
return lgamma(x);
}
double j0(double x);
double __nac3_j0(double x) {
// libm's handling of value overflows differs from scipy:
// - scipy: j0(inf) -> nan
// - libm : j0(inf) -> 0.0
if (__builtin_isinf(x)) {
return __builtin_nan("");
}
return j0(x);
}
uint32_t __nac3_ndarray_calc_size(
const uint32_t *list_data,
uint32_t list_len,
uint32_t begin_idx,
uint32_t end_idx
) {
return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
}
uint64_t __nac3_ndarray_calc_size64(
const uint64_t *list_data,
uint64_t list_len,
uint64_t begin_idx,
uint64_t end_idx
) {
return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
}
void __nac3_ndarray_calc_nd_indices(
uint32_t index,
const uint32_t* dims,
uint32_t num_dims,
NDIndex* idxs
) {
__nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
}
void __nac3_ndarray_calc_nd_indices64(
uint64_t index,
const uint64_t* dims,
uint64_t num_dims,
NDIndex* idxs
) {
__nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
}
uint32_t __nac3_ndarray_flatten_index(
const uint32_t* dims,
uint32_t num_dims,
const NDIndex* indices,
uint32_t num_indices
) {
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
}
uint64_t __nac3_ndarray_flatten_index64(
const uint64_t* dims,
uint64_t num_dims,
const NDIndex* indices,
uint64_t num_indices
) {
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
}
void __nac3_ndarray_calc_broadcast(
const uint32_t *lhs_dims,
uint32_t lhs_ndims,
const uint32_t *rhs_dims,
uint32_t rhs_ndims,
uint32_t *out_dims
) {
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
}
void __nac3_ndarray_calc_broadcast64(
const uint64_t *lhs_dims,
uint64_t lhs_ndims,
const uint64_t *rhs_dims,
uint64_t rhs_ndims,
uint64_t *out_dims
) {
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
}
void __nac3_ndarray_calc_broadcast_idx(
const uint32_t *src_dims,
uint32_t src_ndims,
const NDIndex *in_idx,
NDIndex *out_idx
) {
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
}
void __nac3_ndarray_calc_broadcast_idx64(
const uint64_t *src_dims,
uint64_t src_ndims,
const NDIndex *in_idx,
NDIndex *out_idx
) {
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
}
void __nac3_ndarray_strides_from_shape(uint32_t ndims, uint32_t* shape, uint32_t* dst_strides) {
__nac3_ndarray_strides_from_shape_impl(ndims, shape, dst_strides);
}
void __nac3_ndarray_strides_from_shape64(uint64_t ndims, uint64_t* shape, uint64_t* dst_strides) {
__nac3_ndarray_strides_from_shape_impl(ndims, shape, dst_strides);
}
}

View File

@ -1,216 +0,0 @@
#pragma once
#include "irrt_utils.hpp"
#include "irrt_typedefs.hpp"
/*
This header contains IRRT implementations
that do not deserved to be categorized (e.g., into numpy, etc.)
Check out other *.hpp files before including them here!!
*/
// The type of an index or a value describing the length of a range/slice is
// always `int32_t`.
namespace {
// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
// need to make sure `exp >= 0` before calling this function
template <typename T>
T __nac3_int_exp_impl(T base, T exp) {
T res = 1;
/* repeated squaring method */
do {
if (exp & 1) {
res *= base; /* for n odd */
}
exp >>= 1;
base *= base;
} while (exp);
return res;
}
}
extern "C" {
#define DEF_nac3_int_exp_(T) \
T __nac3_int_exp_##T(T base, T exp) {\
return __nac3_int_exp_impl(base, exp);\
}
DEF_nac3_int_exp_(int32_t)
DEF_nac3_int_exp_(int64_t)
DEF_nac3_int_exp_(uint32_t)
DEF_nac3_int_exp_(uint64_t)
SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
if (i < 0) {
i = len + i;
}
if (i < 0) {
return 0;
} else if (i > len) {
return len;
}
return i;
}
SliceIndex __nac3_range_slice_len(
const SliceIndex start,
const SliceIndex end,
const SliceIndex step
) {
SliceIndex diff = end - start;
if (diff > 0 && step > 0) {
return ((diff - 1) / step) + 1;
} else if (diff < 0 && step < 0) {
return ((diff + 1) / step) + 1;
} else {
return 0;
}
}
// Handle list assignment and dropping part of the list when
// both dest_step and src_step are +1.
// - All the index must *not* be out-of-bound or negative,
// - The end index is *inclusive*,
// - The length of src and dest slice size should already
// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
SliceIndex __nac3_list_slice_assign_var_size(
SliceIndex dest_start,
SliceIndex dest_end,
SliceIndex dest_step,
uint8_t *dest_arr,
SliceIndex dest_arr_len,
SliceIndex src_start,
SliceIndex src_end,
SliceIndex src_step,
uint8_t *src_arr,
SliceIndex src_arr_len,
const SliceIndex size
) {
/* if dest_arr_len == 0, do nothing since we do not support extending list */
if (dest_arr_len == 0) return dest_arr_len;
/* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
if (src_step == dest_step && dest_step == 1) {
const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
if (src_len > 0) {
__builtin_memmove(
dest_arr + dest_start * size,
src_arr + src_start * size,
src_len * size
);
}
if (dest_len > 0) {
/* dropping */
__builtin_memmove(
dest_arr + (dest_start + src_len) * size,
dest_arr + (dest_end + 1) * size,
(dest_arr_len - dest_end - 1) * size
);
}
/* shrink size */
return dest_arr_len - (dest_len - src_len);
}
/* if two range overlaps, need alloca */
uint8_t need_alloca =
(dest_arr == src_arr)
&& !(
max(dest_start, dest_end) < min(src_start, src_end)
|| max(src_start, src_end) < min(dest_start, dest_end)
);
if (need_alloca) {
uint8_t *tmp = reinterpret_cast<uint8_t *>(__builtin_alloca(src_arr_len * size));
__builtin_memcpy(tmp, src_arr, src_arr_len * size);
src_arr = tmp;
}
SliceIndex src_ind = src_start;
SliceIndex dest_ind = dest_start;
for (;
(src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end);
src_ind += src_step, dest_ind += dest_step
) {
/* for constant optimization */
if (size == 1) {
__builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1);
} else if (size == 4) {
__builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
} else if (size == 8) {
__builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8);
} else {
/* memcpy for var size, cannot overlap after previous alloca */
__builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
}
}
/* only dest_step == 1 can we shrink the dest list. */
/* size should be ensured prior to calling this function */
if (dest_step == 1 && dest_end >= dest_start) {
__builtin_memmove(
dest_arr + dest_ind * size,
dest_arr + (dest_end + 1) * size,
(dest_arr_len - dest_end - 1) * size
);
return dest_arr_len - (dest_end - dest_ind) - 1;
}
return dest_arr_len;
}
int32_t __nac3_isinf(double x) {
return __builtin_isinf(x);
}
int32_t __nac3_isnan(double x) {
return __builtin_isnan(x);
}
double tgamma(double arg);
double __nac3_gamma(double z) {
// Handling for denormals
// | x | Python gamma(x) | C tgamma(x) |
// --- | ----------------- | --------------- | ----------- |
// (1) | nan | nan | nan |
// (2) | -inf | -inf | inf |
// (3) | inf | inf | inf |
// (4) | 0.0 | inf | inf |
// (5) | {-1.0, -2.0, ...} | inf | nan |
// (1)-(3)
if (__builtin_isinf(z) || __builtin_isnan(z)) {
return z;
}
double v = tgamma(z);
// (4)-(5)
return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
}
double lgamma(double arg);
double __nac3_gammaln(double x) {
// libm's handling of value overflows differs from scipy:
// - scipy: gammaln(-inf) -> -inf
// - libm : lgamma(-inf) -> inf
if (__builtin_isinf(x)) {
return x;
}
return lgamma(x);
}
double j0(double x);
double __nac3_j0(double x) {
// libm's handling of value overflows differs from scipy:
// - scipy: j0(inf) -> nan
// - libm : j0(inf) -> 0.0
if (__builtin_isinf(x)) {
return __builtin_nan("");
}
return j0(x);
}
}

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@ -1,14 +0,0 @@
#pragma once
#include "irrt_utils.hpp"
#include "irrt_typedefs.hpp"
#include "irrt_basic.hpp"
#include "irrt_slice.hpp"
#include "irrt_numpy_ndarray.hpp"
/*
All IRRT implementations.
We don't have any pre-compiled objects, so we are writing all implementations in headers and
concatenate them with `#include` into one massive source file that contains all the IRRT stuff.
*/

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@ -1,466 +0,0 @@
#pragma once
#include "irrt_utils.hpp"
#include "irrt_typedefs.hpp"
#include "irrt_slice.hpp"
/*
NDArray-related implementations.
`*/
// NDArray indices are always `uint32_t`.
using NDIndex = uint32_t;
namespace {
namespace ndarray_util {
template <typename SizeT>
static void set_indices_by_nth(SizeT ndims, const SizeT* shape, SizeT* indices, SizeT nth) {
for (int32_t i = 0; i < ndims; i++) {
int32_t dim_i = ndims - i - 1;
int32_t dim = shape[dim_i];
indices[dim_i] = nth % dim;
nth /= dim;
}
}
// Compute the strides of an ndarray given an ndarray `shape`
// and assuming that the ndarray is *fully C-contagious*.
//
// You might want to read up on https://ajcr.net/stride-guide-part-1/.
template <typename SizeT>
static void set_strides_by_shape(SizeT itemsize, SizeT ndims, SizeT* dst_strides, const SizeT* shape) {
SizeT stride_product = 1;
for (SizeT i = 0; i < ndims; i++) {
int dim_i = ndims - i - 1;
dst_strides[dim_i] = stride_product * itemsize;
stride_product *= shape[dim_i];
}
}
// Compute the size/# of elements of an ndarray given its shape
template <typename SizeT>
static SizeT calc_size_from_shape(SizeT ndims, const SizeT* shape) {
SizeT size = 1;
for (SizeT dim_i = 0; dim_i < ndims; dim_i++) size *= shape[dim_i];
return size;
}
template <typename SizeT>
static bool can_broadcast_shape_to(
const SizeT target_ndims,
const SizeT *target_shape,
const SizeT src_ndims,
const SizeT *src_shape
) {
/*
// See https://numpy.org/doc/stable/user/basics.broadcasting.html
This function handles this example:
```
Image (3d array): 256 x 256 x 3
Scale (1d array): 3
Result (3d array): 256 x 256 x 3
```
Other interesting examples to consider:
- `can_broadcast_shape_to([3], [1, 1, 1, 1, 3]) == true`
- `can_broadcast_shape_to([3], [3, 1]) == false`
- `can_broadcast_shape_to([256, 256, 3], [256, 1, 3]) == true`
In cases when the shapes contain zero(es):
- `can_broadcast_shape_to([0], [1]) == true`
- `can_broadcast_shape_to([0], [2]) == false`
- `can_broadcast_shape_to([0, 4, 0, 0], [1]) == true`
- `can_broadcast_shape_to([0, 4, 0, 0], [1, 1, 1, 1]) == true`
- `can_broadcast_shape_to([0, 4, 0, 0], [1, 4, 1, 1]) == true`
- `can_broadcast_shape_to([4, 3], [0, 3]) == false`
- `can_broadcast_shape_to([4, 3], [0, 0]) == false`
*/
// This is essentially doing the following in Python:
// `for target_dim, src_dim in itertools.zip_longest(target_shape[::-1], src_shape[::-1], fillvalue=1)`
for (SizeT i = 0; i < max(target_ndims, src_ndims); i++) {
SizeT target_dim_i = target_ndims - i - 1;
SizeT src_dim_i = src_ndims - i - 1;
bool target_dim_exists = target_dim_i >= 0;
bool src_dim_exists = src_dim_i >= 0;
SizeT target_dim = target_dim_exists ? target_shape[target_dim_i] : 1;
SizeT src_dim = src_dim_exists ? src_shape[src_dim_i] : 1;
bool ok = src_dim == 1 || target_dim == src_dim;
if (!ok) return false;
}
return true;
}
}
typedef uint8_t NDSliceType;
extern "C" {
const NDSliceType INPUT_SLICE_TYPE_INDEX = 0;
const NDSliceType INPUT_SLICE_TYPE_SLICE = 1;
}
struct NDSlice {
// A poor-man's `std::variant<int, UserRange>`
NDSliceType type;
/*
if type == INPUT_SLICE_TYPE_INDEX => `slice` points to a single `SizeT`
if type == INPUT_SLICE_TYPE_SLICE => `slice` points to a single `UserRange`
*/
uint8_t *slice;
};
namespace ndarray_util {
template<typename SizeT>
SizeT deduce_ndims_after_slicing(SizeT ndims, SizeT num_slices, const NDSlice *slices) {
irrt_assert(num_slices <= ndims);
SizeT final_ndims = ndims;
for (SizeT i = 0; i < num_slices; i++) {
if (slices[i].type == INPUT_SLICE_TYPE_INDEX) {
final_ndims--; // An integer slice demotes the rank by 1
}
}
return final_ndims;
}
}
template <typename SizeT>
struct NDArrayIndicesIter {
SizeT ndims;
const SizeT *shape;
SizeT *indices;
void set_indices_zero() {
__builtin_memset(indices, 0, sizeof(SizeT) * ndims);
}
void next() {
for (SizeT i = 0; i < ndims; i++) {
SizeT dim_i = ndims - i - 1;
indices[dim_i]++;
if (indices[dim_i] < shape[dim_i]) {
break;
} else {
indices[dim_i] = 0;
}
}
}
};
// The NDArray object. `SizeT` is the *signed* size type of this ndarray.
//
// NOTE: The order of fields is IMPORTANT. DON'T TOUCH IT
//
// Some resources you might find helpful:
// - The official numpy implementations:
// - https://github.com/numpy/numpy/blob/735a477f0bc2b5b84d0e72d92f224bde78d4e069/doc/source/reference/c-api/types-and-structures.rst
// - On strides (about reshaping, slicing, C-contagiousness, etc)
// - https://ajcr.net/stride-guide-part-1/.
// - https://ajcr.net/stride-guide-part-2/.
// - https://ajcr.net/stride-guide-part-3/.
template <typename SizeT>
struct NDArray {
// The underlying data this `ndarray` is pointing to.
//
// NOTE: Formally this should be of type `void *`, but clang
// translates `void *` to `i8 *` when run with `-S -emit-llvm`,
// so we will put `uint8_t *` here for clarity.
uint8_t *data;
// The number of bytes of a single element in `data`.
//
// The `SizeT` is treated as `unsigned`.
SizeT itemsize;
// The number of dimensions of this shape.
//
// The `SizeT` is treated as `unsigned`.
SizeT ndims;
// Array shape, with length equal to `ndims`.
//
// The `SizeT` is treated as `unsigned`.
//
// NOTE: `shape` can contain 0.
// (those appear when the user makes an out of bounds slice into an ndarray, e.g., `np.zeros((3, 3))[400:].shape == (0, 3)`)
SizeT *shape;
// Array strides (stride value is in number of bytes, NOT number of elements), with length equal to `ndims`.
//
// The `SizeT` is treated as `signed`.
//
// NOTE: `strides` can have negative numbers.
// (those appear when there is a slice with a negative step, e.g., `my_array[::-1]`)
SizeT *strides;
// Calculate the size/# of elements of an `ndarray`.
// This function corresponds to `np.size(<ndarray>)` or `ndarray.size`
SizeT size() {
return ndarray_util::calc_size_from_shape(ndims, shape);
}
// Calculate the number of bytes of its content of an `ndarray` *in its view*.
// This function corresponds to `ndarray.nbytes`
SizeT nbytes() {
return this->size() * itemsize;
}
void set_value_at_pelement(uint8_t* pelement, const uint8_t* pvalue) {
__builtin_memcpy(pelement, pvalue, itemsize);
}
uint8_t* get_pelement(const SizeT *indices) {
uint8_t* element = data;
for (SizeT dim_i = 0; dim_i < ndims; dim_i++)
element += indices[dim_i] * strides[dim_i];
return element;
}
uint8_t* get_nth_pelement(SizeT nth) {
irrt_assert(0 <= nth);
irrt_assert(nth < this->size());
SizeT* indices = (SizeT*) __builtin_alloca(sizeof(SizeT) * this->ndims);
ndarray_util::set_indices_by_nth(this->ndims, this->shape, indices, nth);
return get_pelement(indices);
}
// Get pointer to the first element of this ndarray, assuming
// `this->size() > 0`, i.e., not "degenerate" due to zeroes in `this->shape`)
//
// This is particularly useful for when the ndarray is just containing a single scalar.
uint8_t* get_first_pelement() {
irrt_assert(this->size() > 0);
return this->data; // ...It is simply `this->data`
}
// Is the given `indices` valid/in-bounds?
bool in_bounds(const SizeT *indices) {
for (SizeT dim_i = 0; dim_i < ndims; dim_i++) {
bool dim_ok = indices[dim_i] < shape[dim_i];
if (!dim_ok) return false;
}
return true;
}
// Fill the ndarray with a value
void fill_generic(const uint8_t* pvalue) {
NDArrayIndicesIter<SizeT> iter;
iter.ndims = this->ndims;
iter.shape = this->shape;
iter.indices = (SizeT*) __builtin_alloca(sizeof(SizeT) * ndims);
iter.set_indices_zero();
for (SizeT i = 0; i < this->size(); i++, iter.next()) {
uint8_t* pelement = get_pelement(iter.indices);
set_value_at_pelement(pelement, pvalue);
}
}
// Set the strides of the ndarray with `ndarray_util::set_strides_by_shape`
void set_strides_by_shape() {
ndarray_util::set_strides_by_shape(itemsize, ndims, strides, shape);
}
// https://numpy.org/doc/stable/reference/generated/numpy.eye.html
void set_to_eye(SizeT k, const uint8_t* zero_pvalue, const uint8_t* one_pvalue) {
__builtin_assume(ndims == 2);
// TODO: Better implementation
fill_generic(zero_pvalue);
for (SizeT i = 0; i < min(shape[0], shape[1]); i++) {
SizeT row = i;
SizeT col = i + k;
SizeT indices[2] = { row, col };
if (!in_bounds(indices)) continue;
uint8_t* pelement = get_pelement(indices);
set_value_at_pelement(pelement, one_pvalue);
}
}
// To support numpy complex slices (e.g., `my_array[:50:2,4,:2:-1]`)
//
// Things assumed by this function:
// - `dst_ndarray` is allocated by the caller
// - `dst_ndarray.ndims` has the correct value (according to `ndarray_util::deduce_ndims_after_slicing`).
// - ... and `dst_ndarray.shape` and `dst_ndarray.strides` have been allocated by the caller as well
//
// Other notes:
// - `dst_ndarray->data` does not have to be set, it will be derived.
// - `dst_ndarray->itemsize` does not have to be set, it will be set to `this->itemsize`
// - `dst_ndarray->shape` and `dst_ndarray.strides` can contain empty values
void slice(SizeT num_ndslices, NDSlice* ndslices, NDArray<SizeT>* dst_ndarray) {
// REFERENCE CODE (check out `_index_helper` in `__getitem__`):
// https://github.com/wadetb/tinynumpy/blob/0d23d22e07062ffab2afa287374c7b366eebdda1/tinynumpy/tinynumpy.py#L652
irrt_assert(dst_ndarray->ndims == ndarray_util::deduce_ndims_after_slicing(this->ndims, num_ndslices, ndslices));
dst_ndarray->data = this->data;
SizeT this_axis = 0;
SizeT dst_axis = 0;
for (SizeT i = 0; i < num_ndslices; i++) {
NDSlice *ndslice = &ndslices[i];
if (ndslice->type == INPUT_SLICE_TYPE_INDEX) {
// Handle when the ndslice is just a single (possibly negative) integer
// e.g., `my_array[::2, -5, ::-1]`
// ^^------ like this
SizeT index_user = *((SizeT*) ndslice->slice);
SizeT index = resolve_index_in_length(this->shape[this_axis], index_user);
dst_ndarray->data += index * this->strides[this_axis]; // Add offset
// Next
this_axis++;
} else if (ndslice->type == INPUT_SLICE_TYPE_SLICE) {
// Handle when the ndslice is a slice (represented by UserSlice in IRRT)
// e.g., `my_array[::2, -5, ::-1]`
// ^^^------^^^^----- like these
UserSlice<SizeT>* user_slice = (UserSlice<SizeT>*) ndslice->slice;
Slice<SizeT> slice = user_slice->indices(this->shape[this_axis]); // To resolve negative indices and other funny stuff written by the user
// NOTE: There is no need to write special code to handle negative steps/strides.
// This simple implementation meticulously handles both positive and negative steps/strides.
// Check out the tinynumpy and IRRT's test cases if you are not convinced.
dst_ndarray->data += slice.start * this->strides[this_axis]; // Add offset (NOTE: no need to `* itemsize`, strides count in # of bytes)
dst_ndarray->strides[dst_axis] = slice.step * this->strides[this_axis]; // Determine stride
dst_ndarray->shape[dst_axis] = slice.len(); // Determine shape dimension
// Next
dst_axis++;
this_axis++;
} else {
__builtin_unreachable();
}
}
irrt_assert(dst_axis == dst_ndarray->ndims); // Sanity check on the implementation
}
// Similar to `np.broadcast_to(<ndarray>, <target_shape>)`
// Assumptions:
// - `this` has to be fully initialized.
// - `dst_ndarray->ndims` has to be set.
// - `dst_ndarray->shape` has to be set, this determines the shape `this` broadcasts to.
//
// Other notes:
// - `dst_ndarray->data` does not have to be set, it will be set to `this->data`.
// - `dst_ndarray->itemsize` does not have to be set, it will be set to `this->data`.
// - `dst_ndarray->strides` does not have to be set, it will be overwritten.
//
// Cautions:
// ```
// xs = np.zeros((4,))
// ys = np.zero((4, 1))
// ys[:] = xs # ok
//
// xs = np.zeros((1, 4))
// ys = np.zero((4,))
// ys[:] = xs # allowed
// # However `np.broadcast_to(xs, (4,))` would fails, as per numpy's broadcasting rule.
// # and apparently numpy will "deprecate" this? SEE https://github.com/numpy/numpy/issues/21744
// # This implementation will NOT support this assignment.
// ```
void broadcast_to(NDArray<SizeT>* dst_ndarray) {
dst_ndarray->data = this->data;
dst_ndarray->itemsize = this->itemsize;
irrt_assert(
ndarray_util::can_broadcast_shape_to(
dst_ndarray->ndims,
dst_ndarray->shape,
this->ndims,
this->shape
)
);
SizeT stride_product = 1;
for (SizeT i = 0; i < max(this->ndims, dst_ndarray->ndims); i++) {
SizeT this_dim_i = this->ndims - i - 1;
SizeT dst_dim_i = dst_ndarray->ndims - i - 1;
bool this_dim_exists = this_dim_i >= 0;
bool dst_dim_exists = dst_dim_i >= 0;
// TODO: Explain how this works
bool c1 = this_dim_exists && this->shape[this_dim_i] == 1;
bool c2 = dst_dim_exists && dst_ndarray->shape[dst_dim_i] != 1;
if (!this_dim_exists || (c1 && c2)) {
dst_ndarray->strides[dst_dim_i] = 0; // Freeze it in-place
} else {
dst_ndarray->strides[dst_dim_i] = stride_product * this->itemsize;
stride_product *= this->shape[this_dim_i]; // NOTE: this_dim_exist must be true here.
}
}
}
// Simulates `this_ndarray[:] = src_ndarray`, with automatic broadcasting.
// Caution on https://github.com/numpy/numpy/issues/21744
// Also see `NDArray::broadcast_to`
void assign_with(NDArray<SizeT>* src_ndarray) {
irrt_assert(
ndarray_util::can_broadcast_shape_to(
this->ndims,
this->shape,
src_ndarray->ndims,
src_ndarray->shape
)
);
// Broadcast the `src_ndarray` to make the reading process *much* easier
SizeT* broadcasted_src_ndarray_strides = __builtin_alloca(sizeof(SizeT) * this->ndims); // Remember to allocate strides beforehand
NDArray<SizeT> broadcasted_src_ndarray = {
.ndims = this->ndims,
.shape = this->shape,
.strides = broadcasted_src_ndarray_strides
};
src_ndarray->broadcast_to(&broadcasted_src_ndarray);
// Using iter instead of `get_nth_pelement` because it is slightly faster
SizeT* indices = __builtin_alloca(sizeof(SizeT) * this->ndims);
auto iter = NDArrayIndicesIter<SizeT> {
.ndims = this->ndims,
.shape = this->shape,
.indices = indices
};
const SizeT this_size = this->size();
for (SizeT i = 0; i < this_size; i++, iter.next()) {
uint8_t* src_pelement = broadcasted_src_ndarray_strides->get_pelement(indices);
uint8_t* this_pelement = this->get_pelement(indices);
this->set_value_at_pelement(src_pelement, src_pelement);
}
}
};
}
extern "C" {
uint32_t __nac3_ndarray_size(NDArray<int32_t>* ndarray) {
return ndarray->size();
}
uint64_t __nac3_ndarray_size64(NDArray<int64_t>* ndarray) {
return ndarray->size();
}
void __nac3_ndarray_fill_generic(NDArray<int32_t>* ndarray, uint8_t* pvalue) {
ndarray->fill_generic(pvalue);
}
void __nac3_ndarray_fill_generic64(NDArray<int64_t>* ndarray, uint8_t* pvalue) {
ndarray->fill_generic(pvalue);
}
// void __nac3_ndarray_slice(NDArray<int32_t>* ndarray, int32_t num_slices, NDSlice<int32_t> *slices, NDArray<int32_t> *dst_ndarray) {
// // ndarray->slice(num_slices, slices, dst_ndarray);
// }
}

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#pragma once
#include "irrt_utils.hpp"
#include "irrt_typedefs.hpp"
namespace {
// A proper slice in IRRT, all negative indices have be resolved to absolute values.
// Even though nac3core's slices are always `int32_t`, we will template slice anyway
// since this struct is used as a general utility.
template <typename T>
struct Slice {
T start;
T stop;
T step;
// The length/The number of elements of the slice if it were a range,
// i.e., the value of `len(range(this->start, this->stop, this->end))`
T len() {
T diff = stop - start;
if (diff > 0 && step > 0) {
return ((diff - 1) / step) + 1;
} else if (diff < 0 && step < 0) {
return ((diff + 1) / step) + 1;
} else {
return 0;
}
}
};
template<typename T>
T resolve_index_in_length(T length, T index) {
irrt_assert(length >= 0);
if (index < 0) {
// Remember that index is negative, so do a plus here
return max(length + index, 0);
} else {
return min(length, index);
}
}
// NOTE: using a bitfield for the `*_defined` is better, at the
// cost of a more annoying implementation in nac3core inkwell
template <typename T>
struct UserSlice {
uint8_t start_defined;
T start;
uint8_t stop_defined;
T stop;
uint8_t step_defined;
T step;
// Like Python's `slice(start, stop, step).indices(length)`
Slice<T> indices(T length) {
// NOTE: This function implements Python's `slice.indices` *FAITHFULLY*.
// SEE: https://github.com/python/cpython/blob/f62161837e68c1c77961435f1b954412dd5c2b65/Objects/sliceobject.c#L546
irrt_assert(length >= 0);
irrt_assert(!step_defined || step != 0); // step_defined -> step != 0; step cannot be zero if specified by user
Slice<T> result;
result.step = step_defined ? step : 1;
bool step_is_negative = result.step < 0;
if (start_defined) {
result.start = resolve_index_in_length(length, start);
} else {
result.start = step_is_negative ? length - 1 : 0;
}
if (stop_defined) {
result.stop = resolve_index_in_length(length, stop);
} else {
result.stop = step_is_negative ? -1 : length;
}
return result;
}
};
}

View File

@ -1,658 +0,0 @@
// This file will be compiled like a real C++ program,
// and we do have the luxury to use the standard libraries.
// That is if the nix flakes do not have issues... especially on msys2...
#include <cstdint>
#include <cstdio>
#include <cstdlib>
// Set `IRRT_DONT_TYPEDEF_INTS` because `cstdint` defines them
#define IRRT_DONT_TYPEDEF_INTS
#include "irrt_everything.hpp"
void test_fail() {
printf("[!] Test failed\n");
exit(1);
}
void __begin_test(const char* function_name, const char* file, int line) {
printf("######### Running %s @ %s:%d\n", function_name, file, line);
}
#define BEGIN_TEST() __begin_test(__FUNCTION__, __FILE__, __LINE__)
template <typename T>
void debug_print_array(const char* format, int len, T* as) {
printf("[");
for (int i = 0; i < len; i++) {
if (i != 0) printf(", ");
printf(format, as[i]);
}
printf("]");
}
template <typename T>
void assert_arrays_match(const char* label, const char* format, int len, T* expected, T* got) {
if (!arrays_match(len, expected, got)) {
printf(">>>>>>> %s\n", label);
printf(" Expecting = ");
debug_print_array(format, len, expected);
printf("\n");
printf(" Got = ");
debug_print_array(format, len, got);
printf("\n");
test_fail();
}
}
template <typename T>
void assert_values_match(const char* label, const char* format, T expected, T got) {
if (expected != got) {
printf(">>>>>>> %s\n", label);
printf(" Expecting = ");
printf(format, expected);
printf("\n");
printf(" Got = ");
printf(format, got);
printf("\n");
test_fail();
}
}
void print_repeated(const char *str, int count) {
for (int i = 0; i < count; i++) {
printf("%s", str);
}
}
template<typename SizeT, typename ElementT>
void __print_ndarray_aux(const char *format, bool first, bool last, SizeT* cursor, SizeT depth, NDArray<SizeT>* ndarray) {
// A really lazy recursive implementation
// Add left padding unless its the first entry (since there would be "[[[" before it)
if (!first) {
print_repeated(" ", depth);
}
const SizeT dim = ndarray->shape[depth];
if (depth + 1 == ndarray->ndims) {
// Recursed down to last dimension, print the values in a nice list
printf("[");
SizeT* indices = (SizeT*) __builtin_alloca(sizeof(SizeT) * ndarray->ndims);
for (SizeT i = 0; i < dim; i++) {
ndarray_util::set_indices_by_nth(ndarray->ndims, ndarray->shape, indices, *cursor);
ElementT* pelement = (ElementT*) ndarray->get_pelement(indices);
ElementT element = *pelement;
if (i != 0) printf(", "); // List delimiter
printf(format, element);
printf("(@");
debug_print_array("%d", ndarray->ndims, indices);
printf(")");
(*cursor)++;
}
printf("]");
} else {
printf("[");
for (SizeT i = 0; i < ndarray->shape[depth]; i++) {
__print_ndarray_aux<SizeT, ElementT>(
format,
i == 0, // first?
i + 1 == dim, // last?
cursor,
depth + 1,
ndarray
);
}
printf("]");
}
// Add newline unless its the last entry (since there will be "]]]" after it)
if (!last) {
print_repeated("\n", depth);
}
}
template<typename SizeT, typename ElementT>
void print_ndarray(const char *format, NDArray<SizeT>* ndarray) {
if (ndarray->ndims == 0) {
printf("<empty ndarray>");
} else {
SizeT cursor = 0;
__print_ndarray_aux<SizeT, ElementT>(format, true, true, &cursor, 0, ndarray);
}
printf("\n");
}
void test_calc_size_from_shape_normal() {
// Test shapes with normal values
BEGIN_TEST();
int32_t shape[4] = { 2, 3, 5, 7 };
assert_values_match("size", "%d", 210, ndarray_util::calc_size_from_shape<int32_t>(4, shape));
}
void test_calc_size_from_shape_has_zero() {
// Test shapes with 0 in them
BEGIN_TEST();
int32_t shape[4] = { 2, 0, 5, 7 };
assert_values_match("size", "%d", 0, ndarray_util::calc_size_from_shape<int32_t>(4, shape));
}
void test_set_strides_by_shape() {
// Test `set_strides_by_shape()`
BEGIN_TEST();
int32_t shape[4] = { 99, 3, 5, 7 };
int32_t strides[4] = { 0 };
ndarray_util::set_strides_by_shape((int32_t) sizeof(int32_t), 4, strides, shape);
int32_t expected_strides[4] = {
105 * sizeof(int32_t),
35 * sizeof(int32_t),
7 * sizeof(int32_t),
1 * sizeof(int32_t)
};
assert_arrays_match("strides", "%u", 4u, expected_strides, strides);
}
void test_ndarray_indices_iter_normal() {
// Test NDArrayIndicesIter normal behavior
BEGIN_TEST();
int32_t shape[3] = { 1, 2, 3 };
int32_t indices[3] = { 0, 0, 0 };
auto iter = NDArrayIndicesIter<int32_t> {
.ndims = 3,
.shape = shape,
.indices = indices
};
assert_arrays_match("indices #0", "%u", 3u, iter.indices, (int32_t[3]) { 0, 0, 0 });
iter.next();
assert_arrays_match("indices #1", "%u", 3u, iter.indices, (int32_t[3]) { 0, 0, 1 });
iter.next();
assert_arrays_match("indices #2", "%u", 3u, iter.indices, (int32_t[3]) { 0, 0, 2 });
iter.next();
assert_arrays_match("indices #3", "%u", 3u, iter.indices, (int32_t[3]) { 0, 1, 0 });
iter.next();
assert_arrays_match("indices #4", "%u", 3u, iter.indices, (int32_t[3]) { 0, 1, 1 });
iter.next();
assert_arrays_match("indices #5", "%u", 3u, iter.indices, (int32_t[3]) { 0, 1, 2 });
iter.next();
assert_arrays_match("indices #6", "%u", 3u, iter.indices, (int32_t[3]) { 0, 0, 0 }); // Loops back
iter.next();
assert_arrays_match("indices #7", "%u", 3u, iter.indices, (int32_t[3]) { 0, 0, 1 });
}
void test_ndarray_fill_generic() {
// Test ndarray fill_generic
BEGIN_TEST();
// Choose a type that's neither int32_t nor uint64_t (candidates of SizeT) to spice it up
// Also make all the octets non-zero, to see if `memcpy` in `fill_generic` is working perfectly.
uint16_t fill_value = 0xFACE;
uint16_t in_data[6] = { 100, 101, 102, 103, 104, 105 }; // Fill `data` with values that != `999`
int32_t in_itemsize = sizeof(uint16_t);
const int32_t in_ndims = 2;
int32_t in_shape[in_ndims] = { 2, 3 };
int32_t in_strides[in_ndims] = {};
NDArray<int32_t> ndarray = {
.data = (uint8_t*) in_data,
.itemsize = in_itemsize,
.ndims = in_ndims,
.shape = in_shape,
.strides = in_strides,
};
ndarray.set_strides_by_shape();
ndarray.fill_generic((uint8_t*) &fill_value); // `fill_generic` here
uint16_t expected_data[6] = { fill_value, fill_value, fill_value, fill_value, fill_value, fill_value };
assert_arrays_match("data", "0x%hX", 6, expected_data, in_data);
}
void test_ndarray_set_to_eye() {
// Test `set_to_eye` behavior (helper function to implement `np.eye()`)
BEGIN_TEST();
double in_data[9] = { 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0 };
int32_t in_itemsize = sizeof(double);
const int32_t in_ndims = 2;
int32_t in_shape[in_ndims] = { 3, 3 };
int32_t in_strides[in_ndims] = {};
NDArray<int32_t> ndarray = {
.data = (uint8_t*) in_data,
.itemsize = in_itemsize,
.ndims = in_ndims,
.shape = in_shape,
.strides = in_strides,
};
ndarray.set_strides_by_shape();
double zero = 0.0;
double one = 1.0;
ndarray.set_to_eye(1, (uint8_t*) &zero, (uint8_t*) &one);
assert_values_match("in_data[0]", "%f", 0.0, in_data[0]);
assert_values_match("in_data[1]", "%f", 1.0, in_data[1]);
assert_values_match("in_data[2]", "%f", 0.0, in_data[2]);
assert_values_match("in_data[3]", "%f", 0.0, in_data[3]);
assert_values_match("in_data[4]", "%f", 0.0, in_data[4]);
assert_values_match("in_data[5]", "%f", 1.0, in_data[5]);
assert_values_match("in_data[6]", "%f", 0.0, in_data[6]);
assert_values_match("in_data[7]", "%f", 0.0, in_data[7]);
assert_values_match("in_data[8]", "%f", 0.0, in_data[8]);
}
void test_slice_1() {
// Test `slice(5, None, None).indices(100) == slice(5, 100, 1)`
BEGIN_TEST();
UserSlice<int> user_slice = {
.start_defined = 1,
.start = 5,
.stop_defined = 0,
.step_defined = 0,
};
auto slice = user_slice.indices(100);
assert_values_match("start", "%d", 5, slice.start);
assert_values_match("stop", "%d", 100, slice.stop);
assert_values_match("step", "%d", 1, slice.step);
}
void test_slice_2() {
// Test `slice(400, 999, None).indices(100) == slice(100, 100, 1)`
BEGIN_TEST();
UserSlice<int> user_slice = {
.start_defined = 1,
.start = 400,
.stop_defined = 0,
.step_defined = 0,
};
auto slice = user_slice.indices(100);
assert_values_match("start", "%d", 100, slice.start);
assert_values_match("stop", "%d", 100, slice.stop);
assert_values_match("step", "%d", 1, slice.step);
}
void test_slice_3() {
// Test `slice(-10, -5, None).indices(100) == slice(90, 95, 1)`
BEGIN_TEST();
UserSlice<int> user_slice = {
.start_defined = 1,
.start = -10,
.stop_defined = 1,
.stop = -5,
.step_defined = 0,
};
auto slice = user_slice.indices(100);
assert_values_match("start", "%d", 90, slice.start);
assert_values_match("stop", "%d", 95, slice.stop);
assert_values_match("step", "%d", 1, slice.step);
}
void test_slice_4() {
// Test `slice(None, None, -5).indices(100) == (99, -1, -5)`
BEGIN_TEST();
UserSlice<int> user_slice = {
.start_defined = 0,
.stop_defined = 0,
.step_defined = 1,
.step = -5
};
auto slice = user_slice.indices(100);
assert_values_match("start", "%d", 99, slice.start);
assert_values_match("stop", "%d", -1, slice.stop);
assert_values_match("step", "%d", -5, slice.step);
}
void test_ndslice_1() {
/*
Reference Python code:
```python
ndarray = np.arange(12, dtype=np.float64).reshape((3, 4));
# array([[ 0., 1., 2., 3.],
# [ 4., 5., 6., 7.],
# [ 8., 9., 10., 11.]])
dst_ndarray = ndarray[-2:, 1::2]
# array([[ 5., 7.],
# [ 9., 11.]])
assert dst_ndarray.shape == (2, 2)
assert dst_ndarray.strides == (32, 16)
assert dst_ndarray[0, 0] == 5.0
assert dst_ndarray[0, 1] == 7.0
assert dst_ndarray[1, 0] == 9.0
assert dst_ndarray[1, 1] == 11.0
```
*/
BEGIN_TEST();
double in_data[12] = { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0 };
int32_t in_itemsize = sizeof(double);
const int32_t in_ndims = 2;
int32_t in_shape[in_ndims] = { 3, 4 };
int32_t in_strides[in_ndims] = {};
NDArray<int32_t> ndarray = {
.data = (uint8_t*) in_data,
.itemsize = in_itemsize,
.ndims = in_ndims,
.shape = in_shape,
.strides = in_strides
};
ndarray.set_strides_by_shape();
// Destination ndarray
// As documented, ndims and shape & strides must be allocated and determined by the caller.
const int32_t dst_ndims = 2;
int32_t dst_shape[dst_ndims] = {999, 999}; // Empty values
int32_t dst_strides[dst_ndims] = {999, 999}; // Empty values
NDArray<int32_t> dst_ndarray = {
.data = nullptr,
.ndims = dst_ndims,
.shape = dst_shape,
.strides = dst_strides
};
// Create the slice in `ndarray[-2::, 1::2]`
UserSlice<int32_t> user_slice_1 = {
.start_defined = 1,
.start = -2,
.stop_defined = 0,
.step_defined = 0
};
UserSlice<int32_t> user_slice_2 = {
.start_defined = 1,
.start = 1,
.stop_defined = 0,
.step_defined = 1,
.step = 2
};
const int32_t num_ndslices = 2;
NDSlice ndslices[num_ndslices] = {
{ .type = INPUT_SLICE_TYPE_SLICE, .slice = (uint8_t*) &user_slice_1 },
{ .type = INPUT_SLICE_TYPE_SLICE, .slice = (uint8_t*) &user_slice_2 }
};
ndarray.slice(num_ndslices, ndslices, &dst_ndarray);
int32_t expected_shape[dst_ndims] = { 2, 2 };
int32_t expected_strides[dst_ndims] = { 32, 16 };
assert_arrays_match("shape", "%d", dst_ndims, expected_shape, dst_ndarray.shape);
assert_arrays_match("strides", "%d", dst_ndims, expected_strides, dst_ndarray.strides);
assert_values_match("dst_ndarray[0, 0]", "%f", 5.0, *((double *) dst_ndarray.get_pelement((int32_t[dst_ndims]) { 0, 0 })));
assert_values_match("dst_ndarray[0, 1]", "%f", 7.0, *((double *) dst_ndarray.get_pelement((int32_t[dst_ndims]) { 0, 1 })));
assert_values_match("dst_ndarray[1, 0]", "%f", 9.0, *((double *) dst_ndarray.get_pelement((int32_t[dst_ndims]) { 1, 0 })));
assert_values_match("dst_ndarray[1, 1]", "%f", 11.0, *((double *) dst_ndarray.get_pelement((int32_t[dst_ndims]) { 1, 1 })));
}
void test_ndslice_2() {
/*
```python
ndarray = np.arange(12, dtype=np.float64).reshape((3, 4))
# array([[ 0., 1., 2., 3.],
# [ 4., 5., 6., 7.],
# [ 8., 9., 10., 11.]])
dst_ndarray = ndarray[2, ::-2]
# array([11., 9.])
assert dst_ndarray.shape == (2,)
assert dst_ndarray.strides == (-16,)
assert dst_ndarray[0] == 11.0
assert dst_ndarray[1] == 9.0
dst_ndarray[1, 0] == 99 # If you write to `dst_ndarray`
assert ndarray[1, 3] == 99 # `ndarray` also updates!!
```
*/
BEGIN_TEST();
double in_data[12] = { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0 };
int32_t in_itemsize = sizeof(double);
const int32_t in_ndims = 2;
int32_t in_shape[in_ndims] = { 3, 4 };
int32_t in_strides[in_ndims] = {};
NDArray<int32_t> ndarray = {
.data = (uint8_t*) in_data,
.itemsize = in_itemsize,
.ndims = in_ndims,
.shape = in_shape,
.strides = in_strides
};
ndarray.set_strides_by_shape();
// Destination ndarray
// As documented, ndims and shape & strides must be allocated and determined by the caller.
const int32_t dst_ndims = 1;
int32_t dst_shape[dst_ndims] = {999}; // Empty values
int32_t dst_strides[dst_ndims] = {999}; // Empty values
NDArray<int32_t> dst_ndarray = {
.data = nullptr,
.ndims = dst_ndims,
.shape = dst_shape,
.strides = dst_strides
};
// Create the slice in `ndarray[2, ::-2]`
int32_t user_slice_1 = 2;
UserSlice<int32_t> user_slice_2 = {
.start_defined = 0,
.stop_defined = 0,
.step_defined = 1,
.step = -2
};
const int32_t num_ndslices = 2;
NDSlice ndslices[num_ndslices] = {
{ .type = INPUT_SLICE_TYPE_INDEX, .slice = (uint8_t*) &user_slice_1 },
{ .type = INPUT_SLICE_TYPE_SLICE, .slice = (uint8_t*) &user_slice_2 }
};
ndarray.slice(num_ndslices, ndslices, &dst_ndarray);
int32_t expected_shape[dst_ndims] = { 2 };
int32_t expected_strides[dst_ndims] = { -16 };
assert_arrays_match("shape", "%d", dst_ndims, expected_shape, dst_ndarray.shape);
assert_arrays_match("strides", "%d", dst_ndims, expected_strides, dst_ndarray.strides);
// [5.0, 3.0]
assert_values_match("dst_ndarray[0]", "%f", 11.0, *((double *) dst_ndarray.get_pelement((int32_t[dst_ndims]) { 0 })));
assert_values_match("dst_ndarray[1]", "%f", 9.0, *((double *) dst_ndarray.get_pelement((int32_t[dst_ndims]) { 1 })));
}
void test_can_broadcast_shape() {
BEGIN_TEST();
assert_values_match(
"can_broadcast_shape_to([3], [1, 1, 1, 1, 3]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 3 }, 5, (int32_t[]) { 1, 1, 1, 1, 3 })
);
assert_values_match(
"can_broadcast_shape_to([3], [3, 1]) == false",
"%d",
false,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 3 }, 2, (int32_t[]) { 3, 1 }));
assert_values_match(
"can_broadcast_shape_to([3], [3]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 3 }, 1, (int32_t[]) { 3 }));
assert_values_match(
"can_broadcast_shape_to([1], [3]) == false",
"%d",
false,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 1 }, 1, (int32_t[]) { 3 }));
assert_values_match(
"can_broadcast_shape_to([1], [1]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 1 }, 1, (int32_t[]) { 1 }));
assert_values_match(
"can_broadcast_shape_to([256, 256, 3], [256, 1, 3]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(3, (int32_t[]) { 256, 256, 3 }, 3, (int32_t[]) { 256, 1, 3 })
);
assert_values_match(
"can_broadcast_shape_to([256, 256, 3], [3]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(3, (int32_t[]) { 256, 256, 3 }, 1, (int32_t[]) { 3 })
);
assert_values_match(
"can_broadcast_shape_to([256, 256, 3], [2]) == false",
"%d",
false,
ndarray_util::can_broadcast_shape_to(3, (int32_t[]) { 256, 256, 3 }, 1, (int32_t[]) { 2 })
);
assert_values_match(
"can_broadcast_shape_to([256, 256, 3], [1]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(3, (int32_t[]) { 256, 256, 3 }, 1, (int32_t[]) { 1 })
);
// In cases when the shapes contain zero(es)
assert_values_match(
"can_broadcast_shape_to([0], [1]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 0 }, 1, (int32_t[]) { 1 })
);
assert_values_match(
"can_broadcast_shape_to([0], [2]) == false",
"%d",
false,
ndarray_util::can_broadcast_shape_to(1, (int32_t[]) { 0 }, 1, (int32_t[]) { 2 })
);
assert_values_match(
"can_broadcast_shape_to([0, 4, 0, 0], [1]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(4, (int32_t[]) { 0, 4, 0, 0 }, 1, (int32_t[]) { 1 })
);
assert_values_match(
"can_broadcast_shape_to([0, 4, 0, 0], [1, 1, 1, 1]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(4, (int32_t[]) { 0, 4, 0, 0 }, 4, (int32_t[]) { 1, 1, 1, 1 })
);
assert_values_match(
"can_broadcast_shape_to([0, 4, 0, 0], [1, 4, 1, 1]) == true",
"%d",
true,
ndarray_util::can_broadcast_shape_to(4, (int32_t[]) { 0, 4, 0, 0 }, 4, (int32_t[]) { 1, 4, 1, 1 })
);
assert_values_match(
"can_broadcast_shape_to([4, 3], [0, 3]) == false",
"%d",
false,
ndarray_util::can_broadcast_shape_to(2, (int32_t[]) { 4, 3 }, 2, (int32_t[]) { 0, 3 })
);
assert_values_match(
"can_broadcast_shape_to([4, 3], [0, 0]) == false",
"%d",
false,
ndarray_util::can_broadcast_shape_to(2, (int32_t[]) { 4, 3 }, 2, (int32_t[]) { 0, 0 })
);
}
void test_ndarray_broadcast_1() {
/*
# array = np.array([[19.9, 29.9, 39.9, 49.9]], dtype=np.float64)
# >>> [[19.9 29.9 39.9 49.9]]
#
# array = np.broadcast_to(array, (2, 3, 4))
# >>> [[[19.9 29.9 39.9 49.9]
# >>> [19.9 29.9 39.9 49.9]
# >>> [19.9 29.9 39.9 49.9]]
# >>> [[19.9 29.9 39.9 49.9]
# >>> [19.9 29.9 39.9 49.9]
# >>> [19.9 29.9 39.9 49.9]]]
#
# assery array.strides == (0, 0, 8)
*/
BEGIN_TEST();
double in_data[4] = { 19.9, 29.9, 39.9, 49.9 };
const int32_t in_ndims = 2;
int32_t in_shape[in_ndims] = {1, 4};
int32_t in_strides[in_ndims] = {};
NDArray<int32_t> ndarray = {
.data = (uint8_t*) in_data,
.itemsize = sizeof(double),
.ndims = in_ndims,
.shape = in_shape,
.strides = in_strides
};
ndarray.set_strides_by_shape();
const int32_t dst_ndims = 3;
int32_t dst_shape[dst_ndims] = {2, 3, 4};
int32_t dst_strides[dst_ndims] = {};
NDArray<int32_t> dst_ndarray = {
.ndims = dst_ndims,
.shape = dst_shape,
.strides = dst_strides
};
ndarray.broadcast_to(&dst_ndarray);
assert_arrays_match("dst_ndarray->strides", "%d", dst_ndims, (int32_t[]) { 0, 0, 8 }, dst_ndarray.strides);
assert_values_match("dst_ndarray[0, 0, 0]", "%f", 19.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 0, 0})));
assert_values_match("dst_ndarray[0, 0, 1]", "%f", 29.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 0, 1})));
assert_values_match("dst_ndarray[0, 0, 2]", "%f", 39.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 0, 2})));
assert_values_match("dst_ndarray[0, 0, 3]", "%f", 49.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 0, 3})));
assert_values_match("dst_ndarray[0, 1, 0]", "%f", 19.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 1, 0})));
assert_values_match("dst_ndarray[0, 1, 1]", "%f", 29.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 1, 1})));
assert_values_match("dst_ndarray[0, 1, 2]", "%f", 39.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 1, 2})));
assert_values_match("dst_ndarray[0, 1, 3]", "%f", 49.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {0, 1, 3})));
assert_values_match("dst_ndarray[1, 2, 3]", "%f", 49.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {1, 2, 3})));
}
void test_assign_with() {
/*
```
xs = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]], dtype=np.float64)
ys = xs.shape
```
*/
}
int main() {
test_calc_size_from_shape_normal();
test_calc_size_from_shape_has_zero();
test_set_strides_by_shape();
test_ndarray_indices_iter_normal();
test_ndarray_fill_generic();
test_ndarray_set_to_eye();
test_slice_1();
test_slice_2();
test_slice_3();
test_slice_4();
test_ndslice_1();
test_ndslice_2();
test_can_broadcast_shape();
test_ndarray_broadcast_1();
test_assign_with();
return 0;
}

View File

@ -1,14 +0,0 @@
#pragma once
// This is made toggleable since `irrt_test.cpp` itself would include
// headers that define the `int_t` family.
#ifndef IRRT_DONT_TYPEDEF_INTS
typedef _BitInt(8) int8_t;
typedef unsigned _BitInt(8) uint8_t;
typedef _BitInt(32) int32_t;
typedef unsigned _BitInt(32) uint32_t;
typedef _BitInt(64) int64_t;
typedef unsigned _BitInt(64) uint64_t;
#endif
typedef int32_t SliceIndex;

View File

@ -1,37 +0,0 @@
#pragma once
#include "irrt_typedefs.hpp"
namespace {
template <typename T>
T max(T a, T b) {
return a > b ? a : b;
}
template <typename T>
T min(T a, T b) {
return a > b ? b : a;
}
template <typename T>
bool arrays_match(int len, T *as, T *bs) {
for (int i = 0; i < len; i++) {
if (as[i] != bs[i]) return false;
}
return true;
}
void irrt_panic() {
// Crash the program for now.
// TODO: Don't crash the program
// ... or at least produce a good message when doing testing IRRT
uint8_t* death = nullptr;
*death = 0; // TODO: address 0 on hardware might be writable?
}
// TODO: Make this a macro and allow it to be toggled on/off (e.g., debug vs release)
void irrt_assert(bool condition) {
if (!condition) irrt_panic();
}
}

File diff suppressed because it is too large Load Diff

View File

@ -1,6 +1,8 @@
use crate::codegen::{
llvm_intrinsics::call_int_umin, stmt::gen_for_callback_incrementing, CodeGenContext,
CodeGenerator,
irrt::{call_ndarray_calc_size, call_ndarray_flatten_index},
llvm_intrinsics::call_int_umin,
stmt::gen_for_callback_incrementing,
CodeGenContext, CodeGenerator,
};
use inkwell::context::Context;
use inkwell::types::{ArrayType, BasicType, StructType};
@ -10,7 +12,6 @@ use inkwell::{
values::{BasicValueEnum, IntValue, PointerValue},
AddressSpace, IntPredicate,
};
use itertools::Itertools;
/// A LLVM type that is used to represent a non-primitive type in NAC3.
pub trait ProxyType<'ctx>: Into<Self::Base> {
@ -712,25 +713,12 @@ impl<'ctx> ListValue<'ctx> {
/// If `size` is [None], the size stored in the field of this instance is used instead.
pub fn create_data(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
ctx: &CodeGenContext<'ctx, '_>,
elem_ty: BasicTypeEnum<'ctx>,
size: Option<IntValue<'ctx>>,
) {
let size = size.unwrap_or_else(|| self.load_size(ctx, None));
let data = ctx
.builder
.build_select(
ctx.builder
.build_int_compare(IntPredicate::NE, size, self.llvm_usize.const_zero(), "")
.unwrap(),
ctx.builder.build_array_alloca(elem_ty, size, "").unwrap(),
elem_ty.ptr_type(AddressSpace::default()).const_zero(),
"",
)
.map(BasicValueEnum::into_pointer_value)
.unwrap();
self.store_data(ctx, data);
self.store_data(ctx, ctx.builder.build_array_alloca(elem_ty, size, "").unwrap());
}
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
@ -1600,8 +1588,7 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> IntValue<'ctx> {
todo!()
// call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
}
}
@ -1675,19 +1662,17 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
indices_elem_ty.get_bit_width()
);
todo!()
let index = call_ndarray_flatten_index(generator, ctx, *self.0, indices);
// let index = call_ndarray_flatten_index(generator, ctx, *self.0, indices);
// unsafe {
// ctx.builder
// .build_in_bounds_gep(
// self.base_ptr(ctx, generator),
// &[index],
// name.unwrap_or_default(),
// )
// .unwrap()
// }
unsafe {
ctx.builder
.build_in_bounds_gep(
self.base_ptr(ctx, generator),
&[index],
name.unwrap_or_default(),
)
.unwrap()
}
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
@ -1763,307 +1748,3 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeMutator<'ctx,
for NDArrayDataProxy<'ctx, '_>
{
}
#[derive(Debug, Clone, Copy)]
pub struct StructField<'ctx> {
/// The GEP index of this struct field.
pub gep_index: u32,
/// Name of this struct field.
///
/// Used for generating names.
pub name: &'static str,
/// The type of this struct field.
pub ty: BasicTypeEnum<'ctx>,
}
pub struct StructFields<'ctx> {
/// Name of the struct.
///
/// Used for generating names.
pub name: &'static str,
/// All the [`StructField`]s of this struct.
///
/// **NOTE:** The index position of a [`StructField`]
/// matches the element's [`StructField::index`].
pub fields: Vec<StructField<'ctx>>,
}
struct StructFieldsBuilder<'ctx> {
gep_index_counter: u32,
/// Name of the struct to be built.
name: &'static str,
fields: Vec<StructField<'ctx>>,
}
impl<'ctx> StructField<'ctx> {
pub fn gep(
&self,
ctx: &CodeGenContext<'ctx, '_>,
ptr: PointerValue<'ctx>,
) -> PointerValue<'ctx> {
ctx.builder.build_struct_gep(ptr, self.gep_index, self.name).unwrap()
}
pub fn load(
&self,
ctx: &CodeGenContext<'ctx, '_>,
ptr: PointerValue<'ctx>,
) -> BasicValueEnum<'ctx> {
ctx.builder.build_load(self.gep(ctx, ptr), self.name).unwrap()
}
pub fn store<V>(&self, ctx: &CodeGenContext<'ctx, '_>, ptr: PointerValue<'ctx>, value: V)
where
V: BasicValue<'ctx>,
{
ctx.builder.build_store(ptr, value).unwrap();
}
}
type IsInstanceError = String;
type IsInstanceResult = Result<(), IsInstanceError>;
pub fn check_basic_types_match<'ctx, A, B>(expected: A, got: B) -> IsInstanceResult
where
A: BasicType<'ctx>,
B: BasicType<'ctx>,
{
let expected = expected.as_basic_type_enum();
let got = got.as_basic_type_enum();
// Put those logic into here,
// otherwise there is always a fallback reporting on any kind of mismatch
match (expected, got) {
(BasicTypeEnum::IntType(expected), BasicTypeEnum::IntType(got)) => {
if expected.get_bit_width() != got.get_bit_width() {
return Err(format!(
"Expected IntType ({expected}-bit(s)), got IntType ({got}-bit(s))"
));
}
}
(expected, got) => {
if expected != got {
return Err(format!("Expected {expected}, got {got}"));
}
}
}
Ok(())
}
impl<'ctx> StructFields<'ctx> {
pub fn num_fields(&self) -> u32 {
self.fields.len() as u32
}
pub fn as_struct_type(&self, ctx: &'ctx Context) -> StructType<'ctx> {
let llvm_fields = self.fields.iter().map(|field| field.ty).collect_vec();
ctx.struct_type(llvm_fields.as_slice(), false)
}
pub fn is_type(&self, scrutinee: StructType<'ctx>) -> IsInstanceResult {
// Check scrutinee's number of struct fields
if scrutinee.count_fields() != self.num_fields() {
return Err(format!(
"Expected {expected_count} field(s) in `{struct_name}` type, got {got_count}",
struct_name = self.name,
expected_count = self.num_fields(),
got_count = scrutinee.count_fields(),
));
}
// Check the scrutinee's field types
for field in self.fields.iter() {
let expected_field_ty = field.ty;
let got_field_ty = scrutinee.get_field_type_at_index(field.gep_index).unwrap();
if let Err(field_err) = check_basic_types_match(expected_field_ty, got_field_ty) {
return Err(format!(
"Field GEP index {gep_index} does not match the expected type of ({struct_name}::{field_name}): {field_err}",
gep_index = field.gep_index,
struct_name = self.name,
field_name = field.name,
));
}
}
// Done
Ok(())
}
}
impl<'ctx> StructFieldsBuilder<'ctx> {
fn start(name: &'static str) -> Self {
StructFieldsBuilder { gep_index_counter: 0, name, fields: Vec::new() }
}
fn add_field(&mut self, name: &'static str, ty: BasicTypeEnum<'ctx>) -> StructField<'ctx> {
let index = self.gep_index_counter;
self.gep_index_counter += 1;
StructField { gep_index: index, name, ty }
}
fn end(self) -> StructFields<'ctx> {
StructFields { name: self.name, fields: self.fields }
}
}
#[derive(Debug, Clone, Copy)]
pub struct NpArrayType<'ctx> {
pub size_type: IntType<'ctx>,
pub elem_type: BasicTypeEnum<'ctx>,
}
pub struct NpArrayStructFields<'ctx> {
pub whole_struct: StructFields<'ctx>,
pub data: StructField<'ctx>,
pub itemsize: StructField<'ctx>,
pub ndims: StructField<'ctx>,
pub shape: StructField<'ctx>,
pub strides: StructField<'ctx>,
}
impl<'ctx> NpArrayType<'ctx> {
pub fn new_opaque_elem(
ctx: &CodeGenContext<'ctx, '_>,
size_type: IntType<'ctx>,
) -> NpArrayType<'ctx> {
NpArrayType { size_type, elem_type: ctx.ctx.i8_type().as_basic_type_enum() }
}
pub fn struct_type(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructType<'ctx> {
self.fields().whole_struct.as_struct_type(ctx.ctx)
}
pub fn fields(&self) -> NpArrayStructFields<'ctx> {
let mut builder = StructFieldsBuilder::start("NpArray");
let addrspace = AddressSpace::default();
let byte_type = self.size_type.get_context().i8_type();
// Make sure the struct matches PERFECTLY with that defined in `nac3core/irrt`.
let data = builder.add_field("data", byte_type.ptr_type(addrspace).into());
let itemsize = builder.add_field("itemsize", self.size_type.into());
let ndims = builder.add_field("ndims", self.size_type.into());
let shape = builder.add_field("shape", self.size_type.ptr_type(addrspace).into());
let strides = builder.add_field("strides", self.size_type.ptr_type(addrspace).into());
NpArrayStructFields { whole_struct: builder.end(), data, itemsize, ndims, shape, strides }
}
/// Allocate an `ndarray` on stack, with the following notes:
///
/// - `ndarray.ndims` will be initialized to `in_ndims`.
/// - `ndarray.itemsize` will be initialized to the size of `self.elem_type.size_of()`.
/// - `ndarray.shape` and `ndarray.strides` will be allocated on the stack with number of elements being `in_ndims`,
/// all with empty/uninitialized values.
pub fn alloca(
&self,
ctx: &CodeGenContext<'ctx, '_>,
in_ndims: IntValue<'ctx>,
name: &str,
) -> NpArrayValue<'ctx> {
let fields = self.fields();
let ptr =
ctx.builder.build_alloca(fields.whole_struct.as_struct_type(ctx.ctx), name).unwrap();
// Allocate `in_dims` number of `size_type` on the stack for `shape` and `strides`
let allocated_shape =
ctx.builder.build_array_alloca(fields.shape.ty, in_ndims, "allocated_shape").unwrap();
let allocated_strides = ctx
.builder
.build_array_alloca(fields.strides.ty, in_ndims, "allocated_strides")
.unwrap();
let value = NpArrayValue { ty: *self, ptr };
value.store_ndims(ctx, in_ndims);
value.store_itemsize(ctx, self.elem_type.size_of().unwrap());
value.store_shape(ctx, allocated_shape);
value.store_strides(ctx, allocated_strides);
return value;
}
}
#[derive(Debug, Clone, Copy)]
pub struct NpArrayValue<'ctx> {
pub ty: NpArrayType<'ctx>,
pub ptr: PointerValue<'ctx>,
}
impl<'ctx> NpArrayValue<'ctx> {
pub fn load_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
let field = self.ty.fields().ndims;
field.load(ctx, self.ptr).into_int_value()
}
pub fn store_ndims(&self, ctx: &CodeGenContext<'ctx, '_>, value: IntValue<'ctx>) {
let field = self.ty.fields().ndims;
field.store(ctx, self.ptr, value);
}
pub fn load_itemsize(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
let field = self.ty.fields().itemsize;
field.load(ctx, self.ptr).into_int_value()
}
pub fn store_itemsize(&self, ctx: &CodeGenContext<'ctx, '_>, value: IntValue<'ctx>) {
let field = self.ty.fields().itemsize;
field.store(ctx, self.ptr, value);
}
pub fn load_shape(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let field = self.ty.fields().shape;
field.load(ctx, self.ptr).into_pointer_value()
}
pub fn store_shape(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
let field = self.ty.fields().shape;
field.store(ctx, self.ptr, value);
}
pub fn load_strides(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let field = self.ty.fields().strides;
field.load(ctx, self.ptr).into_pointer_value()
}
pub fn store_strides(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
let field = self.ty.fields().strides;
field.store(ctx, self.ptr, value);
}
/// TODO: DOCUMENT ME -- NDIMS WOULD NEVER CHANGE!!!!!
pub fn shape_slice(
&self,
ctx: &CodeGenContext<'ctx, '_>,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let field = self.ty.fields().shape;
field.gep(ctx, self.ptr);
let ndims = self.load_ndims(ctx);
TypedArrayLikeAdapter {
adapted: ArraySliceValue(self.ptr, ndims, Some(field.name)),
downcast_fn: Box::new(|_ctx, x| x.into_int_value()),
upcast_fn: Box::new(|_ctx, x| x.as_basic_value_enum()),
}
}
/// TODO: DOCUMENT ME -- NDIMS WOULD NEVER CHANGE!!!!!
pub fn strides_slice(
&self,
ctx: &CodeGenContext<'ctx, '_>,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let field = self.ty.fields().strides;
field.gep(ctx, self.ptr);
let ndims = self.load_ndims(ctx);
TypedArrayLikeAdapter {
adapted: ArraySliceValue(self.ptr, ndims, Some(field.name)),
downcast_fn: Box::new(|_ctx, x| x.into_int_value()),
upcast_fn: Box::new(|_ctx, x| x.as_basic_value_enum()),
}
}
}

View File

@ -47,6 +47,9 @@ pub enum ConcreteTypeEnum {
TTuple {
ty: Vec<ConcreteType>,
},
TList {
ty: ConcreteType,
},
TObj {
obj_id: DefinitionId,
fields: HashMap<StrRef, (ConcreteType, bool)>,
@ -164,6 +167,9 @@ impl ConcreteTypeStore {
.map(|t| self.from_unifier_type(unifier, primitives, *t, cache))
.collect(),
},
TypeEnum::TList { ty } => ConcreteTypeEnum::TList {
ty: self.from_unifier_type(unifier, primitives, *ty, cache),
},
TypeEnum::TObj { obj_id, fields, params } => ConcreteTypeEnum::TObj {
obj_id: *obj_id,
fields: fields
@ -254,6 +260,9 @@ impl ConcreteTypeStore {
.map(|cty| self.to_unifier_type(unifier, primitives, *cty, cache))
.collect(),
},
ConcreteTypeEnum::TList { ty } => {
TypeEnum::TList { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
}
ConcreteTypeEnum::TVirtual { ty } => {
TypeEnum::TVirtual { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
}

File diff suppressed because it is too large Load Diff

View File

@ -4,97 +4,514 @@ use itertools::Either;
use crate::codegen::CodeGenContext;
/// Macro to generate extern function
/// Both function return type and function parameter type are `FloatValue`
///
/// Arguments:
/// * `unary/binary`: Whether the extern function requires one (unary) or two (binary) operands
/// * `$fn_name:ident`: The identifier of the rust function to be generated
/// * `$extern_fn:literal`: Name of underlying extern function
///
/// Optional Arguments:
/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function
/// The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly"
/// These will be used unless other attributes are specified
/// * `$(,$args:ident)*`: Operands of the extern function
/// The data type of these operands will be set to `FloatValue`
///
macro_rules! generate_extern_fn {
("unary", $fn_name:ident, $extern_fn:literal) => {
generate_extern_fn!($fn_name, $extern_fn, arg, "mustprogress", "nofree", "nounwind", "willreturn", "writeonly");
};
("unary", $fn_name:ident, $extern_fn:literal $(,$attributes:literal)*) => {
generate_extern_fn!($fn_name, $extern_fn, arg $(,$attributes)*);
};
("binary", $fn_name:ident, $extern_fn:literal) => {
generate_extern_fn!($fn_name, $extern_fn, arg1, arg2, "mustprogress", "nofree", "nounwind", "willreturn", "writeonly");
};
("binary", $fn_name:ident, $extern_fn:literal $(,$attributes:literal)*) => {
generate_extern_fn!($fn_name, $extern_fn, arg1, arg2 $(,$attributes)*);
};
($fn_name:ident, $extern_fn:literal $(,$args:ident)* $(,$attributes:literal)*) => {
#[doc = concat!("Invokes the [`", stringify!($extern_fn), "`](https://en.cppreference.com/w/c/numeric/math/", stringify!($llvm_name), ") function." )]
pub fn $fn_name<'ctx>(
ctx: &CodeGenContext<'ctx, '_>
$(,$args: FloatValue<'ctx>)*,
/// Invokes the [`tan`](https://en.cppreference.com/w/c/numeric/math/tan) function.
pub fn call_tan<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = $extern_fn;
) -> FloatValue<'ctx> {
const FN_NAME: &str = "tan";
let llvm_f64 = ctx.ctx.f64_type();
$(debug_assert_eq!($args.get_type(), llvm_f64);)*
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[$($args.get_type().into()),*], false);
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in [$($attributes),*] {
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[$($args.into()),*], name.unwrap_or_default())
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
};
}
generate_extern_fn!("unary", call_tan, "tan");
generate_extern_fn!("unary", call_asin, "asin");
generate_extern_fn!("unary", call_acos, "acos");
generate_extern_fn!("unary", call_atan, "atan");
generate_extern_fn!("unary", call_sinh, "sinh");
generate_extern_fn!("unary", call_cosh, "cosh");
generate_extern_fn!("unary", call_tanh, "tanh");
generate_extern_fn!("unary", call_asinh, "asinh");
generate_extern_fn!("unary", call_acosh, "acosh");
generate_extern_fn!("unary", call_atanh, "atanh");
generate_extern_fn!("unary", call_expm1, "expm1");
generate_extern_fn!(
"unary",
call_cbrt,
"cbrt",
"mustprogress",
"nofree",
"nosync",
"nounwind",
"readonly",
"willreturn"
);
generate_extern_fn!("unary", call_erf, "erf", "nounwind");
generate_extern_fn!("unary", call_erfc, "erfc", "nounwind");
generate_extern_fn!("unary", call_j1, "j1", "nounwind");
/// Invokes the [`asin`](https://en.cppreference.com/w/c/numeric/math/asin) function.
pub fn call_asin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "asin";
generate_extern_fn!("binary", call_atan2, "atan2");
generate_extern_fn!("binary", call_hypot, "hypot", "nounwind");
generate_extern_fn!("binary", call_nextafter, "nextafter", "nounwind");
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`acos`](https://en.cppreference.com/w/c/numeric/math/acos) function.
pub fn call_acos<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "acos";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`atan`](https://en.cppreference.com/w/c/numeric/math/atan) function.
pub fn call_atan<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "atan";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`sinh`](https://en.cppreference.com/w/c/numeric/math/sinh) function.
pub fn call_sinh<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "sinh";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`cosh`](https://en.cppreference.com/w/c/numeric/math/cosh) function.
pub fn call_cosh<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "cosh";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`tanh`](https://en.cppreference.com/w/c/numeric/math/tanh) function.
pub fn call_tanh<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "tanh";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`asinh`](https://en.cppreference.com/w/c/numeric/math/asinh) function.
pub fn call_asinh<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "asinh";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`acosh`](https://en.cppreference.com/w/c/numeric/math/acosh) function.
pub fn call_acosh<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "acosh";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`atanh`](https://en.cppreference.com/w/c/numeric/math/atanh) function.
pub fn call_atanh<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "atanh";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`expm1`](https://en.cppreference.com/w/c/numeric/math/expm1) function.
pub fn call_expm1<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "expm1";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`cbrt`](https://en.cppreference.com/w/c/numeric/math/cbrt) function.
pub fn call_cbrt<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "cbrt";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nosync", "nounwind", "readonly", "willreturn"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`erf`](https://en.cppreference.com/w/c/numeric/math/erf) function.
pub fn call_erf<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "erf";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
);
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`erfc`](https://en.cppreference.com/w/c/numeric/math/erfc) function.
pub fn call_erfc<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "erfc";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
);
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`j1`](https://www.gnu.org/software/libc/manual/html_node/Special-Functions.html#index-j1)
/// function.
pub fn call_j1<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "j1";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
);
func
});
ctx.builder
.build_call(extern_fn, &[arg.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`atan2`](https://en.cppreference.com/w/c/numeric/math/atan2) function.
pub fn call_atan2<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
y: FloatValue<'ctx>,
x: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "atan2";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(y.get_type(), llvm_f64);
debug_assert_eq!(x.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into(), llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[y.into(), x.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`ldexp`](https://en.cppreference.com/w/c/numeric/math/ldexp) function.
pub fn call_ldexp<'ctx>(
@ -130,3 +547,67 @@ pub fn call_ldexp<'ctx>(
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`hypot`](https://en.cppreference.com/w/c/numeric/math/hypot) function.
pub fn call_hypot<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
x: FloatValue<'ctx>,
y: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "hypot";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(x.get_type(), llvm_f64);
debug_assert_eq!(y.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into(), llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
);
func
});
ctx.builder
.build_call(extern_fn, &[x.into(), y.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`nextafter`](https://en.cppreference.com/w/c/numeric/math/nextafter) function.
pub fn call_nextafter<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
from: FloatValue<'ctx>,
to: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "nextafter";
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(from.get_type(), llvm_f64);
debug_assert_eq!(to.get_type(), llvm_f64);
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into(), llvm_f64.into()], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
);
func
});
ctx.builder
.build_call(extern_fn, &[from.into(), to.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}

View File

@ -0,0 +1,389 @@
typedef _BitInt(8) int8_t;
typedef unsigned _BitInt(8) uint8_t;
typedef _BitInt(32) int32_t;
typedef unsigned _BitInt(32) uint32_t;
typedef _BitInt(64) int64_t;
typedef unsigned _BitInt(64) uint64_t;
# define MAX(a, b) (a > b ? a : b)
# define MIN(a, b) (a > b ? b : a)
# define NULL ((void *) 0)
// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
// need to make sure `exp >= 0` before calling this function
#define DEF_INT_EXP(T) T __nac3_int_exp_##T( \
T base, \
T exp \
) { \
T res = (T)1; \
/* repeated squaring method */ \
do { \
if (exp & 1) res *= base; /* for n odd */ \
exp >>= 1; \
base *= base; \
} while (exp); \
return res; \
} \
DEF_INT_EXP(int32_t)
DEF_INT_EXP(int64_t)
DEF_INT_EXP(uint32_t)
DEF_INT_EXP(uint64_t)
int32_t __nac3_slice_index_bound(int32_t i, const int32_t len) {
if (i < 0) {
i = len + i;
}
if (i < 0) {
return 0;
} else if (i > len) {
return len;
}
return i;
}
int32_t __nac3_range_slice_len(const int32_t start, const int32_t end, const int32_t step) {
int32_t diff = end - start;
if (diff > 0 && step > 0) {
return ((diff - 1) / step) + 1;
} else if (diff < 0 && step < 0) {
return ((diff + 1) / step) + 1;
} else {
return 0;
}
}
// Handle list assignment and dropping part of the list when
// both dest_step and src_step are +1.
// - All the index must *not* be out-of-bound or negative,
// - The end index is *inclusive*,
// - The length of src and dest slice size should already
// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
int32_t __nac3_list_slice_assign_var_size(
int32_t dest_start,
int32_t dest_end,
int32_t dest_step,
uint8_t *dest_arr,
int32_t dest_arr_len,
int32_t src_start,
int32_t src_end,
int32_t src_step,
uint8_t *src_arr,
int32_t src_arr_len,
const int32_t size
) {
/* if dest_arr_len == 0, do nothing since we do not support extending list */
if (dest_arr_len == 0) return dest_arr_len;
/* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
if (src_step == dest_step && dest_step == 1) {
const int32_t src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
const int32_t dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
if (src_len > 0) {
__builtin_memmove(
dest_arr + dest_start * size,
src_arr + src_start * size,
src_len * size
);
}
if (dest_len > 0) {
/* dropping */
__builtin_memmove(
dest_arr + (dest_start + src_len) * size,
dest_arr + (dest_end + 1) * size,
(dest_arr_len - dest_end - 1) * size
);
}
/* shrink size */
return dest_arr_len - (dest_len - src_len);
}
/* if two range overlaps, need alloca */
uint8_t need_alloca =
(dest_arr == src_arr)
&& !(
MAX(dest_start, dest_end) < MIN(src_start, src_end)
|| MAX(src_start, src_end) < MIN(dest_start, dest_end)
);
if (need_alloca) {
uint8_t *tmp = __builtin_alloca(src_arr_len * size);
__builtin_memcpy(tmp, src_arr, src_arr_len * size);
src_arr = tmp;
}
int32_t src_ind = src_start;
int32_t dest_ind = dest_start;
for (;
(src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end);
src_ind += src_step, dest_ind += dest_step
) {
/* for constant optimization */
if (size == 1) {
__builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1);
} else if (size == 4) {
__builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
} else if (size == 8) {
__builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8);
} else {
/* memcpy for var size, cannot overlap after previous alloca */
__builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
}
}
/* only dest_step == 1 can we shrink the dest list. */
/* size should be ensured prior to calling this function */
if (dest_step == 1 && dest_end >= dest_start) {
__builtin_memmove(
dest_arr + dest_ind * size,
dest_arr + (dest_end + 1) * size,
(dest_arr_len - dest_end - 1) * size
);
return dest_arr_len - (dest_end - dest_ind) - 1;
}
return dest_arr_len;
}
int32_t __nac3_isinf(double x) {
return __builtin_isinf(x);
}
int32_t __nac3_isnan(double x) {
return __builtin_isnan(x);
}
double tgamma(double arg);
double __nac3_gamma(double z) {
// Handling for denormals
// | x | Python gamma(x) | C tgamma(x) |
// --- | ----------------- | --------------- | ----------- |
// (1) | nan | nan | nan |
// (2) | -inf | -inf | inf |
// (3) | inf | inf | inf |
// (4) | 0.0 | inf | inf |
// (5) | {-1.0, -2.0, ...} | inf | nan |
// (1)-(3)
if (__builtin_isinf(z) || __builtin_isnan(z)) {
return z;
}
double v = tgamma(z);
// (4)-(5)
return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
}
double lgamma(double arg);
double __nac3_gammaln(double x) {
// libm's handling of value overflows differs from scipy:
// - scipy: gammaln(-inf) -> -inf
// - libm : lgamma(-inf) -> inf
if (__builtin_isinf(x)) {
return x;
}
return lgamma(x);
}
double j0(double x);
double __nac3_j0(double x) {
// libm's handling of value overflows differs from scipy:
// - scipy: j0(inf) -> nan
// - libm : j0(inf) -> 0.0
if (__builtin_isinf(x)) {
return __builtin_nan("");
}
return j0(x);
}
uint32_t __nac3_ndarray_calc_size(
const uint64_t *list_data,
uint32_t list_len,
uint32_t begin_idx,
uint32_t end_idx
) {
__builtin_assume(end_idx <= list_len);
uint32_t num_elems = 1;
for (uint32_t i = begin_idx; i < end_idx; ++i) {
uint64_t val = list_data[i];
__builtin_assume(val > 0);
num_elems *= val;
}
return num_elems;
}
uint64_t __nac3_ndarray_calc_size64(
const uint64_t *list_data,
uint64_t list_len,
uint64_t begin_idx,
uint64_t end_idx
) {
__builtin_assume(end_idx <= list_len);
uint64_t num_elems = 1;
for (uint64_t i = begin_idx; i < end_idx; ++i) {
uint64_t val = list_data[i];
__builtin_assume(val > 0);
num_elems *= val;
}
return num_elems;
}
void __nac3_ndarray_calc_nd_indices(
uint32_t index,
const uint32_t* dims,
uint32_t num_dims,
uint32_t* idxs
) {
uint32_t stride = 1;
for (uint32_t dim = 0; dim < num_dims; dim++) {
uint32_t i = num_dims - dim - 1;
__builtin_assume(dims[i] > 0);
idxs[i] = (index / stride) % dims[i];
stride *= dims[i];
}
}
void __nac3_ndarray_calc_nd_indices64(
uint64_t index,
const uint64_t* dims,
uint64_t num_dims,
uint32_t* idxs
) {
uint64_t stride = 1;
for (uint64_t dim = 0; dim < num_dims; dim++) {
uint64_t i = num_dims - dim - 1;
__builtin_assume(dims[i] > 0);
idxs[i] = (uint32_t) ((index / stride) % dims[i]);
stride *= dims[i];
}
}
uint32_t __nac3_ndarray_flatten_index(
const uint32_t* dims,
uint32_t num_dims,
const uint32_t* indices,
uint32_t num_indices
) {
uint32_t idx = 0;
uint32_t stride = 1;
for (uint32_t i = 0; i < num_dims; ++i) {
uint32_t ri = num_dims - i - 1;
if (ri < num_indices) {
idx += (stride * indices[ri]);
}
__builtin_assume(dims[i] > 0);
stride *= dims[ri];
}
return idx;
}
uint64_t __nac3_ndarray_flatten_index64(
const uint64_t* dims,
uint64_t num_dims,
const uint32_t* indices,
uint64_t num_indices
) {
uint64_t idx = 0;
uint64_t stride = 1;
for (uint64_t i = 0; i < num_dims; ++i) {
uint64_t ri = num_dims - i - 1;
if (ri < num_indices) {
idx += (stride * indices[ri]);
}
__builtin_assume(dims[i] > 0);
stride *= dims[ri];
}
return idx;
}
void __nac3_ndarray_calc_broadcast(
const uint32_t *lhs_dims,
uint32_t lhs_ndims,
const uint32_t *rhs_dims,
uint32_t rhs_ndims,
uint32_t *out_dims
) {
uint32_t max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
for (uint32_t i = 0; i < max_ndims; ++i) {
uint32_t *lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : NULL;
uint32_t *rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : NULL;
uint32_t *out_dim = &out_dims[max_ndims - i - 1];
if (lhs_dim_sz == NULL) {
*out_dim = *rhs_dim_sz;
} else if (rhs_dim_sz == NULL) {
*out_dim = *lhs_dim_sz;
} else if (*lhs_dim_sz == 1) {
*out_dim = *rhs_dim_sz;
} else if (*rhs_dim_sz == 1) {
*out_dim = *lhs_dim_sz;
} else if (*lhs_dim_sz == *rhs_dim_sz) {
*out_dim = *lhs_dim_sz;
} else {
__builtin_unreachable();
}
}
}
void __nac3_ndarray_calc_broadcast64(
const uint64_t *lhs_dims,
uint64_t lhs_ndims,
const uint64_t *rhs_dims,
uint64_t rhs_ndims,
uint64_t *out_dims
) {
uint64_t max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
for (uint64_t i = 0; i < max_ndims; ++i) {
uint64_t *lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : NULL;
uint64_t *rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : NULL;
uint64_t *out_dim = &out_dims[max_ndims - i - 1];
if (lhs_dim_sz == NULL) {
*out_dim = *rhs_dim_sz;
} else if (rhs_dim_sz == NULL) {
*out_dim = *lhs_dim_sz;
} else if (*lhs_dim_sz == 1) {
*out_dim = *rhs_dim_sz;
} else if (*rhs_dim_sz == 1) {
*out_dim = *lhs_dim_sz;
} else if (*lhs_dim_sz == *rhs_dim_sz) {
*out_dim = *lhs_dim_sz;
} else {
__builtin_unreachable();
}
}
}
void __nac3_ndarray_calc_broadcast_idx(
const uint32_t *src_dims,
uint32_t src_ndims,
const uint32_t *in_idx,
uint32_t *out_idx
) {
for (uint32_t i = 0; i < src_ndims; ++i) {
uint32_t src_i = src_ndims - i - 1;
out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i];
}
}
void __nac3_ndarray_calc_broadcast_idx64(
const uint64_t *src_dims,
uint64_t src_ndims,
const uint32_t *in_idx,
uint32_t *out_idx
) {
for (uint64_t i = 0; i < src_ndims; ++i) {
uint64_t src_i = src_ndims - i - 1;
out_idx[src_i] = src_dims[src_i] == 1 ? 0 : (uint32_t) in_idx[src_i];
}
}

View File

@ -1,11 +1,9 @@
use crate::{typecheck::typedef::Type, util::SizeVariant};
mod test;
use crate::typecheck::typedef::Type;
use super::{
classes::{
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue, NpArrayType,
NpArrayValue, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
},
llvm_intrinsics, CodeGenContext, CodeGenerator,
};
@ -16,8 +14,8 @@ use inkwell::{
context::Context,
memory_buffer::MemoryBuffer,
module::Module,
types::{BasicType, BasicTypeEnum, FunctionType, IntType, PointerType},
values::{BasicValueEnum, CallSiteValue, FloatValue, FunctionValue, IntValue},
types::{BasicTypeEnum, IntType},
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
AddressSpace, IntPredicate,
};
use itertools::Either;
@ -581,8 +579,10 @@ where
G: CodeGenerator + ?Sized,
Dims: ArrayLikeIndexer<'ctx>,
{
let llvm_i64 = ctx.ctx.i64_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let llvm_pi64 = llvm_i64.ptr_type(AddressSpace::default());
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_size",
@ -590,7 +590,7 @@ where
bw => unreachable!("Unsupported size type bit width: {}", bw),
};
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
&[llvm_pi64.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
false,
);
let ndarray_calc_size_fn =
@ -929,63 +929,3 @@ pub fn call_ndarray_calc_broadcast_index<
Box::new(|_, v| v.into()),
)
}
fn get_size_variant<'ctx>(ty: IntType<'ctx>) -> SizeVariant {
match ty.get_bit_width() {
32 => SizeVariant::Bits32,
64 => SizeVariant::Bits64,
_ => unreachable!("Unsupported int type bit width {}", ty.get_bit_width()),
}
}
fn get_size_type_dependent_function<'ctx, BuildFuncTypeFn>(
ctx: &CodeGenContext<'ctx, '_>,
size_type: IntType<'ctx>,
base_name: &str,
build_func_type: BuildFuncTypeFn,
) -> FunctionValue<'ctx>
where
BuildFuncTypeFn: Fn() -> FunctionType<'ctx>,
{
let mut fn_name = base_name.to_owned();
match get_size_variant(size_type) {
SizeVariant::Bits32 => {
// The original fn_name is the correct function name
}
SizeVariant::Bits64 => {
// Append "64" at the end, this is the naming convention for 64-bit
fn_name.push_str("64");
}
}
// Get (or declare then get if does not exist) the corresponding function
ctx.module.get_function(&fn_name).unwrap_or_else(|| {
let fn_type = build_func_type();
ctx.module.add_function(&fn_name, fn_type, None)
})
}
fn get_ndarray_struct_ptr<'ctx>(ctx: &'ctx Context, size_type: IntType<'ctx>) -> PointerType<'ctx> {
let i8_type = ctx.i8_type();
let ndarray_ty = NpArrayType { size_type, elem_type: i8_type.as_basic_type_enum() };
let struct_ty = ndarray_ty.fields().whole_struct.as_struct_type(ctx);
struct_ty.ptr_type(AddressSpace::default())
}
pub fn call_nac3_ndarray_size<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
ndarray: NpArrayValue<'ctx>,
) -> IntValue<'ctx> {
let size_type = ndarray.ty.size_type;
let function = get_size_type_dependent_function(ctx, size_type, "__nac3_ndarray_size", || {
size_type.fn_type(&[get_ndarray_struct_ptr(ctx.ctx, size_type).into()], false)
});
ctx.builder
.build_call(function, &[ndarray.ptr.into()], "size")
.unwrap()
.try_as_basic_value()
.unwrap_left()
.into_int_value()
}

View File

@ -1,26 +0,0 @@
#[cfg(test)]
mod tests {
use std::{path::Path, process::Command};
#[test]
fn run_irrt_test() {
assert!(
cfg!(feature = "test"),
"Please do `cargo test -F test` to compile `irrt_test.out` and run test"
);
let irrt_test_out_path = Path::new(concat!(env!("OUT_DIR"), "/irrt_test.out"));
let output = Command::new(irrt_test_out_path.to_str().unwrap()).output().unwrap();
if !output.status.success() {
eprintln!("irrt_test failed with status {}:", output.status);
eprintln!("====== stdout ======");
eprintln!("{}", String::from_utf8(output.stdout).unwrap());
eprintln!("====== stderr ======");
eprintln!("{}", String::from_utf8(output.stderr).unwrap());
eprintln!("====================");
panic!("irrt_test failed");
}
}
}

View File

@ -62,30 +62,145 @@ pub fn call_stacksave<'ctx>(
pub fn call_stackrestore<'ctx>(ctx: &CodeGenContext<'ctx, '_>, ptr: PointerValue<'ctx>) {
const FN_NAME: &str = "llvm.stackrestore";
/*
SEE https://github.com/TheDan64/inkwell/issues/496
let llvm_i8 = ctx.ctx.i8_type();
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
We want `llvm.stackrestore`, but the following would generate `llvm.stackrestore.p0i8`.
```ignore
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_p0i8.into()]))
.unwrap();
```
Temp workaround by manually declaring the intrinsic with the correct function name instead.
*/
let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let llvm_void = ctx.ctx.void_type();
let llvm_i8 = ctx.ctx.i8_type();
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
ctx.module.add_function(FN_NAME, fn_type, None)
});
ctx.builder.build_call(intrinsic_fn, &[ptr.into()], "").unwrap();
}
/// Invokes the [`llvm.abs`](https://llvm.org/docs/LangRef.html#llvm-abs-intrinsic) intrinsic.
///
/// * `src` - The value for which the absolute value is to be returned.
/// * `is_int_min_poison` - Whether `poison` is to be returned if `src` is `INT_MIN`.
pub fn call_int_abs<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
src: IntValue<'ctx>,
is_int_min_poison: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.abs";
debug_assert_eq!(is_int_min_poison.get_type().get_bit_width(), 1);
debug_assert!(is_int_min_poison.is_const());
let llvm_src_t = src.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_src_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[src.into(), is_int_min_poison.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.smax`](https://llvm.org/docs/LangRef.html#llvm-smax-intrinsic) intrinsic.
pub fn call_int_smax<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.smax";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.smin`](https://llvm.org/docs/LangRef.html#llvm-smin-intrinsic) intrinsic.
pub fn call_int_smin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.smin";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.umax`](https://llvm.org/docs/LangRef.html#llvm-umax-intrinsic) intrinsic.
pub fn call_int_umax<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.umax";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.umin`](https://llvm.org/docs/LangRef.html#llvm-umin-intrinsic) intrinsic.
pub fn call_int_umin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.umin";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.memcpy`](https://llvm.org/docs/LangRef.html#llvm-memcpy-intrinsic) intrinsic.
///
/// * `dest` - The pointer to the destination. Must be a pointer to an integer type.
@ -165,122 +280,28 @@ pub fn call_memcpy_generic<'ctx>(
call_memcpy(ctx, dest, src, len, is_volatile);
}
/// Macro to find and generate build call for llvm intrinsic (body of llvm intrinsic function)
///
/// Arguments:
/// * `$ctx:ident`: Reference to the current Code Generation Context
/// * `$name:ident`: Optional name to be assigned to the llvm build call (Option<&str>)
/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
/// * `$map_fn:ident`: Mapping function to be applied on `BasicValue` (`BasicValue` -> Function Return Type)
/// Use `BasicValueEnum::into_int_value` for Integer return type and `BasicValueEnum::into_float_value` for Float return type
/// * `$llvm_ty:ident`: Type of first operand
/// * `,($val:ident)*`: Comma separated list of operands
macro_rules! generate_llvm_intrinsic_fn_body {
($ctx:ident, $name:ident, $llvm_name:literal, $map_fn:expr, $llvm_ty:ident $(,$val:ident)*) => {{
const FN_NAME: &str = concat!("llvm.", $llvm_name);
let intrinsic_fn = Intrinsic::find(FN_NAME).and_then(|intrinsic| intrinsic.get_declaration(&$ctx.module, &[$llvm_ty.into()])).unwrap();
$ctx.builder.build_call(intrinsic_fn, &[$($val.into()),*], $name.unwrap_or_default()).map(CallSiteValue::try_as_basic_value).map(|v| v.map_left($map_fn)).map(Either::unwrap_left).unwrap()
}};
/// Invokes the [`llvm.sqrt`](https://llvm.org/docs/LangRef.html#llvm-sqrt-intrinsic) intrinsic.
pub fn call_float_sqrt<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.sqrt";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Macro to generate the llvm intrinsic function using [`generate_llvm_intrinsic_fn_body`].
///
/// Arguments:
/// * `float/int`: Indicates the return and argument type of the function
/// * `$fn_name:ident`: The identifier of the rust function to be generated
/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
/// Omit "llvm." prefix from the function name i.e. use "ceil" instead of "llvm.ceil"
/// * `$val:ident`: The operand for unary operations
/// * `$val1:ident`, `$val2:ident`: The operands for binary operations
macro_rules! generate_llvm_intrinsic_fn {
("float", $fn_name:ident, $llvm_name:literal, $val:ident) => {
#[doc = concat!("Invokes the [`", stringify!($llvm_name), "`](https://llvm.org/docs/LangRef.html#llvm-", stringify!($llvm_name), "-intrinsic) intrinsic." )]
pub fn $fn_name<'ctx> (
ctx: &CodeGenContext<'ctx, '_>,
$val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
let llvm_ty = $val.get_type();
generate_llvm_intrinsic_fn_body!(ctx, name, $llvm_name, BasicValueEnum::into_float_value, llvm_ty, $val)
}
};
("float", $fn_name:ident, $llvm_name:literal, $val1:ident, $val2:ident) => {
#[doc = concat!("Invokes the [`", stringify!($llvm_name), "`](https://llvm.org/docs/LangRef.html#llvm-", stringify!($llvm_name), "-intrinsic) intrinsic." )]
pub fn $fn_name<'ctx> (
ctx: &CodeGenContext<'ctx, '_>,
$val1: FloatValue<'ctx>,
$val2: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
debug_assert_eq!($val1.get_type(), $val2.get_type());
let llvm_ty = $val1.get_type();
generate_llvm_intrinsic_fn_body!(ctx, name, $llvm_name, BasicValueEnum::into_float_value, llvm_ty, $val1, $val2)
}
};
("int", $fn_name:ident, $llvm_name:literal, $val1:ident, $val2:ident) => {
#[doc = concat!("Invokes the [`", stringify!($llvm_name), "`](https://llvm.org/docs/LangRef.html#llvm-", stringify!($llvm_name), "-intrinsic) intrinsic." )]
pub fn $fn_name<'ctx> (
ctx: &CodeGenContext<'ctx, '_>,
$val1: IntValue<'ctx>,
$val2: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
debug_assert_eq!($val1.get_type().get_bit_width(), $val2.get_type().get_bit_width());
let llvm_ty = $val1.get_type();
generate_llvm_intrinsic_fn_body!(ctx, name, $llvm_name, BasicValueEnum::into_int_value, llvm_ty, $val1, $val2)
}
};
}
/// Invokes the [`llvm.abs`](https://llvm.org/docs/LangRef.html#llvm-abs-intrinsic) intrinsic.
///
/// * `src` - The value for which the absolute value is to be returned.
/// * `is_int_min_poison` - Whether `poison` is to be returned if `src` is `INT_MIN`.
pub fn call_int_abs<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
src: IntValue<'ctx>,
is_int_min_poison: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
debug_assert_eq!(is_int_min_poison.get_type().get_bit_width(), 1);
debug_assert!(is_int_min_poison.is_const());
let src_type = src.get_type();
generate_llvm_intrinsic_fn_body!(
ctx,
name,
"abs",
BasicValueEnum::into_int_value,
src_type,
src,
is_int_min_poison
)
}
generate_llvm_intrinsic_fn!("int", call_int_smax, "smax", a, b);
generate_llvm_intrinsic_fn!("int", call_int_smin, "smin", a, b);
generate_llvm_intrinsic_fn!("int", call_int_umax, "umax", a, b);
generate_llvm_intrinsic_fn!("int", call_int_umin, "umin", a, b);
generate_llvm_intrinsic_fn!("int", call_expect, "expect", val, expected_val);
generate_llvm_intrinsic_fn!("float", call_float_sqrt, "sqrt", val);
generate_llvm_intrinsic_fn!("float", call_float_sin, "sin", val);
generate_llvm_intrinsic_fn!("float", call_float_cos, "cos", val);
generate_llvm_intrinsic_fn!("float", call_float_pow, "pow", val, power);
generate_llvm_intrinsic_fn!("float", call_float_exp, "exp", val);
generate_llvm_intrinsic_fn!("float", call_float_exp2, "exp2", val);
generate_llvm_intrinsic_fn!("float", call_float_log, "log", val);
generate_llvm_intrinsic_fn!("float", call_float_log10, "log10", val);
generate_llvm_intrinsic_fn!("float", call_float_log2, "log2", val);
generate_llvm_intrinsic_fn!("float", call_float_fabs, "fabs", src);
generate_llvm_intrinsic_fn!("float", call_float_minnum, "minnum", val, power);
generate_llvm_intrinsic_fn!("float", call_float_maxnum, "maxnum", val, power);
generate_llvm_intrinsic_fn!("float", call_float_copysign, "copysign", mag, sgn);
generate_llvm_intrinsic_fn!("float", call_float_floor, "floor", val);
generate_llvm_intrinsic_fn!("float", call_float_ceil, "ceil", val);
generate_llvm_intrinsic_fn!("float", call_float_round, "round", val);
generate_llvm_intrinsic_fn!("float", call_float_rint, "rint", val);
/// Invokes the [`llvm.powi`](https://llvm.org/docs/LangRef.html#llvm-powi-intrinsic) intrinsic.
pub fn call_float_powi<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
@ -306,3 +327,393 @@ pub fn call_float_powi<'ctx>(
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.sin`](https://llvm.org/docs/LangRef.html#llvm-sin-intrinsic) intrinsic.
pub fn call_float_sin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.sin";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.cos`](https://llvm.org/docs/LangRef.html#llvm-cos-intrinsic) intrinsic.
pub fn call_float_cos<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.cos";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.pow`](https://llvm.org/docs/LangRef.html#llvm-pow-intrinsic) intrinsic.
pub fn call_float_pow<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
power: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.pow";
debug_assert_eq!(val.get_type(), power.get_type());
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into(), power.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.exp`](https://llvm.org/docs/LangRef.html#llvm-exp-intrinsic) intrinsic.
pub fn call_float_exp<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.exp";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.exp2`](https://llvm.org/docs/LangRef.html#llvm-exp2-intrinsic) intrinsic.
pub fn call_float_exp2<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.exp2";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.log`](https://llvm.org/docs/LangRef.html#llvm-log-intrinsic) intrinsic.
pub fn call_float_log<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.log";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.log10`](https://llvm.org/docs/LangRef.html#llvm-log10-intrinsic) intrinsic.
pub fn call_float_log10<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.log10";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.log2`](https://llvm.org/docs/LangRef.html#llvm-log2-intrinsic) intrinsic.
pub fn call_float_log2<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.log2";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.fabs`](https://llvm.org/docs/LangRef.html#llvm-fabs-intrinsic) intrinsic.
pub fn call_float_fabs<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
src: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.fabs";
let llvm_src_t = src.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_src_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[src.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.minnum`](https://llvm.org/docs/LangRef.html#llvm-minnum-intrinsic) intrinsic.
pub fn call_float_minnum<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val1: FloatValue<'ctx>,
val2: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.minnum";
debug_assert_eq!(val1.get_type(), val2.get_type());
let llvm_float_t = val1.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val1.into(), val2.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.maxnum`](https://llvm.org/docs/LangRef.html#llvm-maxnum-intrinsic) intrinsic.
pub fn call_float_maxnum<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val1: FloatValue<'ctx>,
val2: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.maxnum";
debug_assert_eq!(val1.get_type(), val2.get_type());
let llvm_float_t = val1.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val1.into(), val2.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.copysign`](https://llvm.org/docs/LangRef.html#llvm-copysign-intrinsic) intrinsic.
pub fn call_float_copysign<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
mag: FloatValue<'ctx>,
sgn: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.copysign";
debug_assert_eq!(mag.get_type(), sgn.get_type());
let llvm_float_t = mag.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[mag.into(), sgn.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.floor`](https://llvm.org/docs/LangRef.html#llvm-floor-intrinsic) intrinsic.
pub fn call_float_floor<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.floor";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.ceil`](https://llvm.org/docs/LangRef.html#llvm-ceil-intrinsic) intrinsic.
pub fn call_float_ceil<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.ceil";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.round`](https://llvm.org/docs/LangRef.html#llvm-round-intrinsic) intrinsic.
pub fn call_float_round<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.round";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the
/// [`llvm.roundeven`](https://llvm.org/docs/LangRef.html#llvm-roundeven-intrinsic) intrinsic.
pub fn call_float_roundeven<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.roundeven";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.expect`](https://llvm.org/docs/LangRef.html#llvm-expect-intrinsic) intrinsic.
pub fn call_expect<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: IntValue<'ctx>,
expected_val: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.expect";
debug_assert_eq!(val.get_type().get_bit_width(), expected_val.get_type().get_bit_width());
let llvm_int_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into(), expected_val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}

View File

@ -456,20 +456,6 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
.into()
}
TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let element_type = get_llvm_type(
ctx,
module,
generator,
unifier,
top_level,
type_cache,
*params.iter().next().unwrap().1,
);
ListType::new(generator, ctx, element_type).as_base_type().into()
}
TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
let (dtype, _) = unpack_ndarray_var_tys(unifier, ty);
let element_type = get_llvm_type(
@ -530,6 +516,12 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
.collect_vec();
ctx.struct_type(&fields, false).into()
}
TList { ty } => {
let element_type =
get_llvm_type(ctx, module, generator, unifier, top_level, type_cache, *ty);
ListType::new(generator, ctx, element_type).as_base_type().into()
}
TVirtual { .. } => unimplemented!(),
_ => unreachable!("{}", ty_enum.get_type_name()),
};

File diff suppressed because it is too large Load Diff

View File

@ -11,10 +11,7 @@ use crate::{
gen_in_range_check,
},
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId, TopLevelDef},
typecheck::{
magic_methods::Binop,
typedef::{FunSignature, Type, TypeEnum},
},
typecheck::typedef::{FunSignature, Type, TypeEnum},
};
use inkwell::{
attributes::{Attribute, AttributeLoc},
@ -116,7 +113,7 @@ pub fn gen_store_target<'ctx, G: CodeGenerator>(
}
},
ExprKind::Attribute { value, attr, .. } => {
let (index, _) = ctx.get_attr_index(value.custom.unwrap(), *attr);
let index = ctx.get_attr_index(value.custom.unwrap(), *attr);
let val = if let Some(v) = generator.gen_expr(ctx, value)? {
v.to_basic_value_enum(ctx, generator, value.custom.unwrap())?
} else {
@ -139,7 +136,7 @@ pub fn gen_store_target<'ctx, G: CodeGenerator>(
}
ExprKind::Subscript { value, slice, .. } => {
match ctx.unifier.get_ty_immutable(value.custom.unwrap()).as_ref() {
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
TypeEnum::TList { .. } => {
let v = generator
.gen_expr(ctx, value)?
.unwrap()
@ -246,9 +243,7 @@ pub fn gen_assign<'ctx, G: CodeGenerator>(
.into_pointer_value();
let value = ListValue::from_ptr_val(value, llvm_usize, None);
let ty = match &*ctx.unifier.get_ty_immutable(target.custom.unwrap()) {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
*params.iter().next().unwrap().1
}
TypeEnum::TList { ty } => *ty,
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
unpack_ndarray_var_tys(&mut ctx.unifier, target.custom.unwrap()).0
}
@ -467,14 +462,12 @@ pub fn gen_for<G: CodeGenerator>(
Ok(())
}
#[derive(PartialEq, Eq, Debug, Clone, Copy, Hash)]
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub struct BreakContinueHooks<'ctx> {
/// The [exit block][`BasicBlock`] to branch to when `break`-ing out of a loop.
pub exit_bb: BasicBlock<'ctx>,
/// The [latch basic block][`BasicBlock`] to branch to for `continue`-ing to the next iteration
/// of the loop.
pub latch_bb: BasicBlock<'ctx>,
/// [`BasicBlock`] to branch to for `break`-ing out of the loop.
pub break_bb: BasicBlock<'ctx>,
/// [`BasicBlock`] to branch to for `continue`-ing to the next iteration in the loop.
pub continue_bb: BasicBlock<'ctx>,
}
/// Generates a C-style `for` construct using lambdas, similar to the following C code:
@ -536,7 +529,7 @@ where
}
ctx.builder.position_at_end(body_bb);
let hooks = BreakContinueHooks { exit_bb: cont_bb, latch_bb: update_bb };
let hooks = BreakContinueHooks { break_bb: cont_bb, continue_bb: update_bb };
body(generator, ctx, hooks, loop_var.clone())?;
if !ctx.is_terminated() {
ctx.builder.build_unconditional_branch(update_bb).unwrap();
@ -1596,14 +1589,7 @@ pub fn gen_stmt<G: CodeGenerator>(
StmtKind::For { .. } => generator.gen_for(ctx, stmt)?,
StmtKind::With { .. } => generator.gen_with(ctx, stmt)?,
StmtKind::AugAssign { target, op, value, .. } => {
let value = gen_binop_expr(
generator,
ctx,
target,
Binop::aug_assign(*op),
value,
stmt.location,
)?;
let value = gen_binop_expr(generator, ctx, target, *op, value, stmt.location, true)?;
generator.gen_assign(ctx, target, value.unwrap())?;
}
StmtKind::Try { .. } => gen_try(generator, ctx, stmt)?,

View File

@ -23,4 +23,3 @@ pub mod codegen;
pub mod symbol_resolver;
pub mod toplevel;
pub mod typecheck;
pub mod util;

View File

@ -382,12 +382,13 @@ pub trait SymbolResolver {
}
thread_local! {
static IDENTIFIER_ID: [StrRef; 11] = [
static IDENTIFIER_ID: [StrRef; 12] = [
"int32".into(),
"int64".into(),
"float".into(),
"bool".into(),
"virtual".into(),
"list".into(),
"tuple".into(),
"str".into(),
"Exception".into(),
@ -412,12 +413,13 @@ pub fn parse_type_annotation<T>(
let float_id = ids[2];
let bool_id = ids[3];
let virtual_id = ids[4];
let tuple_id = ids[5];
let str_id = ids[6];
let exn_id = ids[7];
let uint32_id = ids[8];
let uint64_id = ids[9];
let literal_id = ids[10];
let list_id = ids[5];
let tuple_id = ids[6];
let str_id = ids[7];
let exn_id = ids[8];
let uint32_id = ids[9];
let uint64_id = ids[10];
let literal_id = ids[11];
let name_handling = |id: &StrRef, loc: Location, unifier: &mut Unifier| {
if *id == int32_id {
@ -474,6 +476,9 @@ pub fn parse_type_annotation<T>(
if *id == virtual_id {
let ty = parse_type_annotation(resolver, top_level_defs, unifier, primitives, slice)?;
Ok(unifier.add_ty(TypeEnum::TVirtual { ty }))
} else if *id == list_id {
let ty = parse_type_annotation(resolver, top_level_defs, unifier, primitives, slice)?;
Ok(unifier.add_ty(TypeEnum::TList { ty }))
} else if *id == tuple_id {
if let Tuple { elts, .. } = &slice.node {
let ty = elts

View File

@ -1,6 +1,5 @@
use std::iter::once;
use crate::util::SizeVariant;
use helper::{debug_assert_prim_is_allowed, make_exception_fields, PrimDefDetails};
use indexmap::IndexMap;
use inkwell::{
@ -15,7 +14,10 @@ use strum::IntoEnumIterator;
use crate::{
codegen::{
builtin_fns,
classes::{ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor},
classes::{
ArrayLikeValue, NDArrayValue, ProxyType, ProxyValue, RangeType, RangeValue,
TypedArrayLikeAccessor,
},
expr::destructure_range,
irrt::*,
numpy::*,
@ -81,7 +83,6 @@ pub fn get_exn_constructor(
object_id: DefinitionId(class_id),
type_vars: Vec::default(),
fields: exception_fields,
attributes: Vec::default(),
methods: vec![("__init__".into(), signature, DefinitionId(cons_id))],
ancestors: vec![
TypeAnnotation::CustomClass { id: DefinitionId(class_id), params: Vec::default() },
@ -279,11 +280,20 @@ pub fn get_builtins(unifier: &mut Unifier, primitives: &PrimitiveStore) -> Built
.collect()
}
fn size_variant_to_int_type(variant: SizeVariant, primitives: &PrimitiveStore) -> Type {
match variant {
/// A helper enum used by [`BuiltinBuilder`]
#[derive(Clone, Copy)]
enum SizeVariant {
Bits32,
Bits64,
}
impl SizeVariant {
fn of_int(self, primitives: &PrimitiveStore) -> Type {
match self {
SizeVariant::Bits32 => primitives.int32,
SizeVariant::Bits64 => primitives.int64,
}
}
}
struct BuiltinBuilder<'a> {
@ -294,8 +304,6 @@ struct BuiltinBuilder<'a> {
unwrap_ty: (Type, bool),
option_tvar: TypeVar,
list_tvar: TypeVar,
ndarray_dtype_tvar: TypeVar,
ndarray_ndims_tvar: TypeVar,
ndarray_copy_ty: (Type, bool),
@ -315,9 +323,6 @@ struct BuiltinBuilder<'a> {
num_or_ndarray_ty: TypeVar,
num_or_ndarray_var_map: VarMap,
/// See [`BuiltinBuilder::build_ndarray_from_shape_factory_function`]
ndarray_factory_fn_shape_arg_tvar: TypeVar,
}
impl<'a> BuiltinBuilder<'a> {
@ -386,19 +391,7 @@ impl<'a> BuiltinBuilder<'a> {
unifier.get_fresh_var_with_range(&[num_ty.ty, ndarray_num_ty], Some("T".into()), None);
let num_or_ndarray_var_map = into_var_map([num_ty, num_or_ndarray_ty]);
let list_tvar = if let TypeEnum::TObj { obj_id, params, .. } =
&*unifier.get_ty_immutable(primitives.list)
{
assert_eq!(*obj_id, PrimDef::List.id());
iter_type_vars(params).nth(0).unwrap()
} else {
unreachable!()
};
let list_int32 = unifier
.subst(primitives.list, &into_var_map([TypeVar { id: list_tvar.id, ty: int32 }]))
.unwrap();
let ndarray_factory_fn_shape_arg_tvar = unifier.get_fresh_var(Some("Shape".into()), None);
let list_int32 = unifier.add_ty(TypeEnum::TList { ty: int32 });
BuiltinBuilder {
unifier,
@ -408,8 +401,6 @@ impl<'a> BuiltinBuilder<'a> {
unwrap_ty,
option_tvar,
list_tvar,
ndarray_dtype_tvar,
ndarray_ndims_tvar,
ndarray_copy_ty,
@ -429,8 +420,6 @@ impl<'a> BuiltinBuilder<'a> {
num_or_ndarray_ty,
num_or_ndarray_var_map,
ndarray_factory_fn_shape_arg_tvar,
}
}
@ -449,10 +438,9 @@ impl<'a> BuiltinBuilder<'a> {
| PrimDef::Float
| PrimDef::Bool
| PrimDef::Str
| PrimDef::Range
| PrimDef::None => Self::build_simple_primitive_class(prim),
PrimDef::Range | PrimDef::FunRangeInit => self.build_range_class_related(prim),
PrimDef::Exception => self.build_exception_class_related(prim),
PrimDef::Option
@ -461,8 +449,6 @@ impl<'a> BuiltinBuilder<'a> {
| PrimDef::OptionUnwrap
| PrimDef::FunSome => self.build_option_class_related(prim),
PrimDef::List => self.build_list_class_related(prim),
PrimDef::NDArray | PrimDef::NDArrayCopy | PrimDef::NDArrayFill => {
self.build_ndarray_class_related(prim)
}
@ -484,6 +470,7 @@ impl<'a> BuiltinBuilder<'a> {
| PrimDef::FunNpEye
| PrimDef::FunNpIdentity => self.build_ndarray_other_factory_function(prim),
PrimDef::FunRange => self.build_range_function(),
PrimDef::FunStr => self.build_str_function(),
PrimDef::FunFloor | PrimDef::FunFloor64 | PrimDef::FunCeil | PrimDef::FunCeil64 => {
@ -510,6 +497,8 @@ impl<'a> BuiltinBuilder<'a> {
PrimDef::FunNpIsNan | PrimDef::FunNpIsInf => self.build_np_float_to_bool_function(prim),
PrimDef::FunNpAny | PrimDef::FunNpAll => self.build_np_any_all_function(prim),
PrimDef::FunNpSin
| PrimDef::FunNpCos
| PrimDef::FunNpTan
@ -588,6 +577,7 @@ impl<'a> BuiltinBuilder<'a> {
PrimDef::Float,
PrimDef::Bool,
PrimDef::Str,
PrimDef::Range,
PrimDef::None,
],
);
@ -595,165 +585,6 @@ impl<'a> BuiltinBuilder<'a> {
TopLevelComposer::make_top_level_class_def(prim.id(), None, prim.name().into(), None, None)
}
fn build_range_class_related(&mut self, prim: PrimDef) -> TopLevelDef {
debug_assert_prim_is_allowed(prim, &[PrimDef::Range, PrimDef::FunRangeInit]);
let PrimitiveStore { int32, range, .. } = *self.primitives;
let make_ctor_signature = |unifier: &mut Unifier| {
unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "start".into(), ty: int32, default_value: None },
FuncArg {
name: "stop".into(),
ty: int32,
// placeholder
default_value: Some(SymbolValue::I32(0)),
},
FuncArg {
name: "step".into(),
ty: int32,
default_value: Some(SymbolValue::I32(1)),
},
],
ret: range,
vars: VarMap::default(),
}))
};
match prim {
PrimDef::Range => {
let fields = vec![
("start".into(), int32, true),
("stop".into(), int32, true),
("step".into(), int32, true),
];
let ctor_signature = make_ctor_signature(self.unifier);
TopLevelDef::Class {
name: prim.name().into(),
object_id: prim.id(),
type_vars: Vec::default(),
fields,
attributes: Vec::default(),
methods: vec![("__init__".into(), ctor_signature, PrimDef::FunRangeInit.id())],
ancestors: Vec::default(),
constructor: Some(ctor_signature),
resolver: None,
loc: None,
}
}
PrimDef::FunRangeInit => TopLevelDef::Function {
name: prim.name().into(),
simple_name: prim.simple_name().into(),
signature: make_ctor_signature(self.unifier),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, _, args, generator| {
let (zelf_ty, zelf) = obj.unwrap();
let zelf =
zelf.to_basic_value_enum(ctx, generator, zelf_ty)?.into_pointer_value();
let zelf = RangeValue::from_ptr_val(zelf, Some("range"));
let mut start = None;
let mut stop = None;
let mut step = None;
let int32 = ctx.ctx.i32_type();
let ty_i32 = ctx.primitives.int32;
for (i, arg) in args.iter().enumerate() {
if arg.0 == Some("start".into()) {
start = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if arg.0 == Some("stop".into()) {
stop = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if arg.0 == Some("step".into()) {
step = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 0 {
start = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 1 {
stop = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 2 {
step = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
}
}
let step = match step {
Some(step) => {
// assert step != 0, throw exception if not
let not_zero = ctx
.builder
.build_int_compare(
IntPredicate::NE,
step,
step.get_type().const_zero(),
"range_step_ne",
)
.unwrap();
ctx.make_assert(
generator,
not_zero,
"0:ValueError",
"range() step must not be zero",
[None, None, None],
ctx.current_loc,
);
step
}
None => int32.const_int(1, false),
};
let stop = stop.unwrap_or_else(|| {
let v = start.unwrap();
start = None;
v
});
let start = start.unwrap_or_else(|| int32.const_zero());
zelf.store_start(ctx, start);
zelf.store_end(ctx, stop);
zelf.store_step(ctx, step);
Ok(Some(zelf.as_base_value().into()))
},
)))),
loc: None,
},
_ => unreachable!(),
}
}
/// Build the class `Exception` and its associated methods.
fn build_exception_class_related(&self, prim: PrimDef) -> TopLevelDef {
// NOTE: currently only contains the class `Exception`
@ -767,7 +598,6 @@ impl<'a> BuiltinBuilder<'a> {
object_id: prim.id(),
type_vars: Vec::default(),
fields: make_exception_fields(int32, int64, str),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: vec![],
constructor: None,
@ -796,8 +626,7 @@ impl<'a> BuiltinBuilder<'a> {
name: prim.name().into(),
object_id: prim.id(),
type_vars: vec![self.option_tvar.ty],
fields: Vec::default(),
attributes: Vec::default(),
fields: vec![],
methods: vec![
Self::create_method(PrimDef::OptionIsSome, self.is_some_ty.0),
Self::create_method(PrimDef::OptionIsNone, self.is_some_ty.0),
@ -898,27 +727,6 @@ impl<'a> BuiltinBuilder<'a> {
}
}
fn build_list_class_related(&self, prim: PrimDef) -> TopLevelDef {
debug_assert_prim_is_allowed(prim, &[PrimDef::List]);
match prim {
PrimDef::List => TopLevelDef::Class {
name: prim.name().into(),
object_id: prim.id(),
type_vars: vec![self.list_tvar.ty],
fields: Vec::default(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
constructor: None,
resolver: None,
loc: None,
},
_ => unreachable!(),
}
}
/// Build the class `ndarray` and its associated methods.
fn build_ndarray_class_related(&self, prim: PrimDef) -> TopLevelDef {
debug_assert_prim_is_allowed(
@ -932,7 +740,6 @@ impl<'a> BuiltinBuilder<'a> {
object_id: prim.id(),
type_vars: vec![self.ndarray_dtype_tvar.ty, self.ndarray_ndims_tvar.ty],
fields: Vec::default(),
attributes: Vec::default(),
methods: vec![
Self::create_method(PrimDef::NDArrayCopy, self.ndarray_copy_ty.0),
Self::create_method(PrimDef::NDArrayFill, self.ndarray_fill_ty.0),
@ -953,9 +760,8 @@ impl<'a> BuiltinBuilder<'a> {
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
todo!()
// gen_ndarray_copy(ctx, &obj, fun, &args, generator)
// .map(|val| Some(val.as_basic_value_enum()))
gen_ndarray_copy(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
},
)))),
loc: None,
@ -971,9 +777,8 @@ impl<'a> BuiltinBuilder<'a> {
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
todo!()
// gen_ndarray_fill(ctx, &obj, fun, &args, generator)?;
// Ok(None)
gen_ndarray_fill(ctx, &obj, fun, &args, generator)?;
Ok(None)
},
)))),
loc: None,
@ -1053,7 +858,7 @@ impl<'a> BuiltinBuilder<'a> {
);
// The size variant of the function determines the size of the returned int.
let int_sized = size_variant_to_int_type(size_variant, self.primitives);
let int_sized = size_variant.of_int(self.primitives);
let ndarray_int_sized =
make_ndarray_ty(self.unifier, self.primitives, Some(int_sized), Some(common_ndim.ty));
@ -1078,7 +883,7 @@ impl<'a> BuiltinBuilder<'a> {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
let ret_elem_ty = size_variant_to_int_type(size_variant, &ctx.primitives);
let ret_elem_ty = size_variant.of_int(&ctx.primitives);
Ok(Some(builtin_fns::call_round(generator, ctx, (arg_ty, arg), ret_elem_ty)?))
}),
)
@ -1119,7 +924,7 @@ impl<'a> BuiltinBuilder<'a> {
make_ndarray_ty(self.unifier, self.primitives, Some(float), Some(common_ndim.ty));
// The size variant of the function determines the type of int returned
let int_sized = size_variant_to_int_type(size_variant, self.primitives);
let int_sized = size_variant.of_int(self.primitives);
let ndarray_int_sized =
make_ndarray_ty(self.unifier, self.primitives, Some(int_sized), Some(common_ndim.ty));
@ -1142,7 +947,7 @@ impl<'a> BuiltinBuilder<'a> {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
let ret_elem_ty = size_variant_to_int_type(size_variant, &ctx.primitives);
let ret_elem_ty = size_variant.of_int(&ctx.primitives);
let func = match kind {
Kind::Ceil => builtin_fns::call_ceil,
Kind::Floor => builtin_fns::call_floor,
@ -1152,55 +957,29 @@ impl<'a> BuiltinBuilder<'a> {
)
}
/// Build ndarray factory functions that only take in an argument `shape`.
///
/// `shape` can be a tuple of int32s, a list of int32s, or a scalar int32.
/// Build ndarray factory functions that only take in an argument `shape` of type `list[int32]` and return an ndarray.
fn build_ndarray_from_shape_factory_function(&mut self, prim: PrimDef) -> TopLevelDef {
debug_assert_prim_is_allowed(
prim,
&[PrimDef::FunNpNDArray, PrimDef::FunNpEmpty, PrimDef::FunNpZeros, PrimDef::FunNpOnes],
);
// NOTE: on `ndarray_factory_fn_shape_arg_tvar` and
// the `param_ty` for `create_fn_by_codegen`.
//
// Ideally, we should have created a [`TypeVar`] to define all possible input
// types for the parameter "shape" like so:
// ```rust
// self.unifier.get_fresh_var_with_range(
// &[int32, list_int32, /* and more... */],
// Some("T".into()), None)
// )
// ```
//
// However, there is (currently) no way to type a tuple of arbitrary length in `nac3core`.
//
// And this is the best we could do:
// ```rust
// &[ int32, list_int32, tuple_1_int32, tuple_2_int32, tuple_3_int32, ... ],
// ```
//
// But this is not ideal.
//
// Instead, we delegate the responsibility of typechecking
// to [`typecheck::type_inferencer::Inferencer::fold_numpy_function_call_shape_argument`],
// and use a dummy [`TypeVar`] `ndarray_factory_fn_shape_arg_tvar` as a placeholder for `param_ty`.
create_fn_by_codegen(
self.unifier,
&VarMap::new(),
prim.name(),
self.ndarray_float,
&[(self.ndarray_factory_fn_shape_arg_tvar.ty, "shape")],
// We are using List[int32] here, as I don't know a way to specify an n-tuple bound on a
// type variable
&[(self.list_int32, "shape")],
Box::new(move |ctx, obj, fun, args, generator| {
todo!()
// let func = match prim {
// PrimDef::FunNpNDArray | PrimDef::FunNpEmpty => gen_ndarray_empty,
// PrimDef::FunNpZeros => gen_ndarray_zeros,
// PrimDef::FunNpOnes => gen_ndarray_ones,
// _ => unreachable!(),
// };
// func(ctx, &obj, fun, &args, generator).map(|val| Some(val.as_basic_value_enum()))
let func = match prim {
PrimDef::FunNpNDArray | PrimDef::FunNpEmpty => gen_ndarray_empty,
PrimDef::FunNpZeros => gen_ndarray_zeros,
PrimDef::FunNpOnes => gen_ndarray_ones,
_ => unreachable!(),
};
func(ctx, &obj, fun, &args, generator).map(|val| Some(val.as_basic_value_enum()))
}),
)
}
@ -1246,9 +1025,8 @@ impl<'a> BuiltinBuilder<'a> {
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
todo!()
// gen_ndarray_array(ctx, &obj, fun, &args, generator)
// .map(|val| Some(val.as_basic_value_enum()))
gen_ndarray_array(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
},
)))),
loc: None,
@ -1266,9 +1044,8 @@ impl<'a> BuiltinBuilder<'a> {
// type variable
&[(self.list_int32, "shape"), (tv.ty, "fill_value")],
Box::new(move |ctx, obj, fun, args, generator| {
todo!()
// gen_ndarray_full(ctx, &obj, fun, &args, generator)
// .map(|val| Some(val.as_basic_value_enum()))
gen_ndarray_full(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
)
}
@ -1300,9 +1077,8 @@ impl<'a> BuiltinBuilder<'a> {
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
todo!()
// gen_ndarray_eye(ctx, &obj, fun, &args, generator)
// .map(|val| Some(val.as_basic_value_enum()))
gen_ndarray_eye(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
},
)))),
loc: None,
@ -1315,15 +1091,139 @@ impl<'a> BuiltinBuilder<'a> {
self.ndarray_float_2d,
&[(int32, "n")],
Box::new(|ctx, obj, fun, args, generator| {
todo!()
// gen_ndarray_identity(ctx, &obj, fun, &args, generator)
// .map(|val| Some(val.as_basic_value_enum()))
gen_ndarray_identity(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
),
_ => unreachable!(),
}
}
/// Build the `range()` function.
fn build_range_function(&mut self) -> TopLevelDef {
let prim = PrimDef::FunRange;
let PrimitiveStore { int32, range, .. } = *self.primitives;
TopLevelDef::Function {
name: prim.name().into(),
simple_name: prim.simple_name().into(),
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "start".into(), ty: int32, default_value: None },
FuncArg {
name: "stop".into(),
ty: int32,
// placeholder
default_value: Some(SymbolValue::I32(0)),
},
FuncArg {
name: "step".into(),
ty: int32,
default_value: Some(SymbolValue::I32(1)),
},
],
ret: range,
vars: VarMap::default(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, _, args, generator| {
let mut start = None;
let mut stop = None;
let mut step = None;
let int32 = ctx.ctx.i32_type();
let ty_i32 = ctx.primitives.int32;
for (i, arg) in args.iter().enumerate() {
if arg.0 == Some("start".into()) {
start = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if arg.0 == Some("stop".into()) {
stop = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if arg.0 == Some("step".into()) {
step = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 0 {
start = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 1 {
stop = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 2 {
step = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
}
}
let step = match step {
Some(step) => {
// assert step != 0, throw exception if not
let not_zero = ctx
.builder
.build_int_compare(
IntPredicate::NE,
step,
step.get_type().const_zero(),
"range_step_ne",
)
.unwrap();
ctx.make_assert(
generator,
not_zero,
"0:ValueError",
"range() step must not be zero",
[None, None, None],
ctx.current_loc,
);
step
}
None => int32.const_int(1, false),
};
let stop = stop.unwrap_or_else(|| {
let v = start.unwrap();
start = None;
v
});
let start = start.unwrap_or_else(|| int32.const_zero());
let ptr = RangeType::new(ctx.ctx).new_value(generator, ctx, Some("range"));
ptr.store_start(ctx, start);
ptr.store_end(ctx, stop);
ptr.store_step(ctx, step);
Ok(Some(ptr.as_base_value().into()))
},
)))),
loc: None,
}
}
/// Build the `str()` function.
fn build_str_function(&mut self) -> TopLevelDef {
let prim = PrimDef::FunStr;
@ -1401,13 +1301,7 @@ impl<'a> BuiltinBuilder<'a> {
let PrimitiveStore { uint64, int32, .. } = *self.primitives;
let tvar = self.unifier.get_fresh_var(Some("L".into()), None);
let list = self
.unifier
.subst(
self.primitives.list,
&into_var_map([TypeVar { id: self.list_tvar.id, ty: tvar.ty }]),
)
.unwrap();
let list = self.unifier.add_ty(TypeEnum::TList { ty: tvar.ty });
let ndims = self.unifier.get_fresh_const_generic_var(uint64, Some("N".into()), None);
let ndarray = make_ndarray_ty(self.unifier, self.primitives, Some(tvar.ty), Some(ndims.ty));
@ -1439,7 +1333,7 @@ impl<'a> BuiltinBuilder<'a> {
Some(calculate_len_for_slice_range(generator, ctx, start, end, step).into())
} else {
match &*ctx.unifier.get_ty_immutable(arg_ty) {
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
TypeEnum::TList { .. } => {
let int32 = ctx.ctx.i32_type();
let zero = int32.const_zero();
let len = ctx
@ -1865,6 +1759,24 @@ impl<'a> BuiltinBuilder<'a> {
}
}
fn build_np_any_all_function(&mut self, prim: PrimDef) -> TopLevelDef {
debug_assert_prim_is_allowed(prim, &[PrimDef::FunNpAny, PrimDef::FunNpAll]);
let param_ty = &[(self.ndarray_num_ty, "a")];
let ret_ty = self.primitives.bool;
let var_map = &into_var_map([]);
let codegen_callback: Box<GenCallCallback> =
Box::new(move |ctx, obj, fun, args, generator| {
let func = match prim {
PrimDef::FunNpAny => gen_ndarray_any,
PrimDef::FunNpAll => gen_ndarray_all,
_ => unreachable!(),
};
func(ctx, &obj, fun, &args, generator).map(|val| Some(val.as_basic_value_enum()))
});
create_fn_by_codegen(self.unifier, var_map, prim.name(), ret_ty, param_ty, codegen_callback)
}
fn create_method(prim: PrimDef, method_ty: Type) -> (StrRef, Type, DefinitionId) {
(prim.simple_name().into(), method_ty, prim.id())
}

View File

@ -1057,14 +1057,7 @@ impl TopLevelComposer {
let (keyword_list, core_config) = core_info;
let mut class_def = class_def.write();
let TopLevelDef::Class {
object_id,
ancestors,
fields,
attributes,
methods,
resolver,
type_vars,
..
object_id, ancestors, fields, methods, resolver, type_vars, ..
} = &mut *class_def
else {
unreachable!("here must be toplevel class def");
@ -1080,14 +1073,10 @@ impl TopLevelComposer {
class_body_ast,
_class_ancestor_def,
class_fields_def,
class_attributes_def,
class_methods_def,
class_type_vars_def,
class_resolver,
) = (
*object_id, *name, bases, body, ancestors, fields, attributes, methods, type_vars,
resolver,
);
) = (*object_id, *name, bases, body, ancestors, fields, methods, type_vars, resolver);
let class_resolver = class_resolver.as_ref().unwrap();
let class_resolver = class_resolver.as_ref();
@ -1296,13 +1285,11 @@ impl TopLevelComposer {
.unify(method_dummy_ty, method_type)
.map_err(|e| HashSet::from([e.to_display(unifier).to_string()]))?;
}
ast::StmtKind::AnnAssign { target, annotation, value, .. } => {
ast::StmtKind::AnnAssign { target, annotation, value: None, .. } => {
if let ast::ExprKind::Name { id: attr, .. } = &target.node {
if defined_fields.insert(attr.to_string()) {
let dummy_field_type = unifier.get_dummy_var().ty;
let annotation = match value {
None => {
// handle Kernel[T], KernelInvariant[T]
let (annotation, mutable) = match &annotation.node {
ast::ExprKind::Subscript { value, slice, .. }
@ -1325,45 +1312,7 @@ impl TopLevelComposer {
_ => continue, // ignore fields annotated otherwise
};
class_fields_def.push((*attr, dummy_field_type, mutable));
annotation
}
// Supporting Class Attributes
Some(boxed_expr) => {
// Class attributes are set as immutable regardless
let (annotation, _) = match &annotation.node {
ast::ExprKind::Subscript { slice, .. } => (slice, false),
_ if core_config.kernel_ann.is_none() => (annotation, false),
_ => continue,
};
match &**boxed_expr {
ast::Located {location: _, custom: (), node: ast::ExprKind::Constant { value: v, kind: _ }} => {
// Restricting the types allowed to be defined as class attributes
match v {
ast::Constant::Bool(_) | ast::Constant::Str(_) | ast::Constant::Int(_) | ast::Constant::Float(_) => {}
_ => {
return Err(HashSet::from([
format!(
"unsupported statement in class definition body (at {})",
b.location
),
]))
}
}
class_attributes_def.push((*attr, dummy_field_type, v.clone()));
}
_ => {
return Err(HashSet::from([
format!(
"unsupported statement in class definition body (at {})",
b.location
),
]))
}
}
annotation
}
};
let parsed_annotation = parse_ast_to_type_annotation_kinds(
class_resolver,
temp_def_list,
@ -1435,14 +1384,7 @@ impl TopLevelComposer {
type_var_to_concrete_def: &mut HashMap<Type, TypeAnnotation>,
) -> Result<(), HashSet<String>> {
let TopLevelDef::Class {
object_id,
ancestors,
fields,
attributes,
methods,
resolver,
type_vars,
..
object_id, ancestors, fields, methods, resolver, type_vars, ..
} = class_def
else {
unreachable!("here must be class def ast")
@ -1451,11 +1393,10 @@ impl TopLevelComposer {
_class_id,
class_ancestor_def,
class_fields_def,
class_attribute_def,
class_methods_def,
_class_type_vars_def,
_class_resolver,
) = (*object_id, ancestors, fields, attributes, methods, type_vars, resolver);
) = (*object_id, ancestors, fields, methods, type_vars, resolver);
// since when this function is called, the ancestors of the direct parent
// are supposed to be already handled, so we only need to deal with the direct parent
@ -1466,7 +1407,7 @@ impl TopLevelComposer {
let base = temp_def_list.get(id.0).unwrap();
let base = base.read();
let TopLevelDef::Class { methods, fields, attributes, .. } = &*base else {
let TopLevelDef::Class { methods, fields, .. } = &*base else {
unreachable!("must be top level class def")
};
@ -1508,7 +1449,7 @@ impl TopLevelComposer {
}
}
// use the new_child_methods to replace all the elements in `class_methods_def`
class_methods_def.clear();
class_methods_def.drain(..);
class_methods_def.extend(new_child_methods);
// handle class fields
@ -1518,9 +1459,7 @@ impl TopLevelComposer {
let to_be_added = (*anc_field_name, *anc_field_ty, *mutable);
// find if there is a fields with the same name in the child class
for (class_field_name, ..) in &*class_fields_def {
if class_field_name == anc_field_name
|| attributes.iter().any(|f| f.0 == *class_field_name)
{
if class_field_name == anc_field_name {
return Err(HashSet::from([format!(
"field `{class_field_name}` has already declared in the ancestor classes"
)]));
@ -1528,33 +1467,14 @@ impl TopLevelComposer {
}
new_child_fields.push(to_be_added);
}
// handle class attributes
let mut new_child_attributes: Vec<(StrRef, Type, ast::Constant)> = Vec::new();
for (anc_attr_name, anc_attr_ty, attr_value) in attributes {
let to_be_added = (*anc_attr_name, *anc_attr_ty, attr_value.clone());
// find if there is a attribute with the same name in the child class
for (class_attr_name, ..) in &*class_attribute_def {
if class_attr_name == anc_attr_name
|| fields.iter().any(|f| f.0 == *class_attr_name)
{
return Err(HashSet::from([format!(
"attribute `{class_attr_name}` has already declared in the ancestor classes"
)]));
}
}
new_child_attributes.push(to_be_added);
}
for (class_field_name, class_field_ty, mutable) in &*class_fields_def {
if !is_override.contains(class_field_name) {
new_child_fields.push((*class_field_name, *class_field_ty, *mutable));
}
}
class_fields_def.clear();
class_fields_def.drain(..);
class_fields_def.extend(new_child_fields);
class_attribute_def.clear();
class_attribute_def.extend(new_child_attributes);
Ok(())
}

View File

@ -2,7 +2,7 @@ use std::convert::TryInto;
use crate::symbol_resolver::SymbolValue;
use crate::toplevel::numpy::unpack_ndarray_var_tys;
use crate::typecheck::typedef::{into_var_map, iter_type_vars, Mapping, TypeVarId, VarMap};
use crate::typecheck::typedef::{into_var_map, Mapping, TypeVarId, VarMap};
use nac3parser::ast::{Constant, Location};
use strum::IntoEnumIterator;
use strum_macros::EnumIter;
@ -12,7 +12,6 @@ use super::*;
/// All primitive types and functions in nac3core.
#[derive(Clone, Copy, Debug, EnumIter, PartialEq, Eq)]
pub enum PrimDef {
// Classes
Int32,
Int64,
Float,
@ -24,13 +23,10 @@ pub enum PrimDef {
UInt32,
UInt64,
Option,
List,
NDArray,
// Member Functions
OptionIsSome,
OptionIsNone,
OptionUnwrap,
NDArray,
NDArrayCopy,
NDArrayFill,
FunInt32,
@ -49,7 +45,7 @@ pub enum PrimDef {
FunRound,
FunRound64,
FunNpRound,
FunRangeInit,
FunRange,
FunStr,
FunBool,
FunFloor,
@ -103,9 +99,9 @@ pub enum PrimDef {
FunNpLdExp,
FunNpHypot,
FunNpNextAfter,
// Top-Level Functions
FunSome,
FunNpAny,
FunNpAll,
}
/// Associated details of a [`PrimDef`]
@ -183,7 +179,6 @@ impl PrimDef {
PrimDef::OptionIsSome => fun("Option.is_some", Some("is_some")),
PrimDef::OptionIsNone => fun("Option.is_none", Some("is_none")),
PrimDef::OptionUnwrap => fun("Option.unwrap", Some("unwrap")),
PrimDef::List => class("list"),
PrimDef::NDArray => class("ndarray"),
PrimDef::NDArrayCopy => fun("ndarray.copy", Some("copy")),
PrimDef::NDArrayFill => fun("ndarray.fill", Some("fill")),
@ -203,7 +198,7 @@ impl PrimDef {
PrimDef::FunRound => fun("round", None),
PrimDef::FunRound64 => fun("round64", None),
PrimDef::FunNpRound => fun("np_round", None),
PrimDef::FunRangeInit => fun("range.__init__", Some("__init__")),
PrimDef::FunRange => fun("range", None),
PrimDef::FunStr => fun("str", None),
PrimDef::FunBool => fun("bool", None),
PrimDef::FunFloor => fun("floor", None),
@ -258,6 +253,8 @@ impl PrimDef {
PrimDef::FunNpHypot => fun("np_hypot", None),
PrimDef::FunNpNextAfter => fun("np_nextafter", None),
PrimDef::FunSome => fun("Some", None),
PrimDef::FunNpAny => fun("np_any", None),
PrimDef::FunNpAll => fun("np_all", None),
}
}
}
@ -361,13 +358,7 @@ impl TopLevelComposer {
});
let range = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::Range.id(),
fields: [
("start".into(), (int32, true)),
("stop".into(), (int32, true)),
("step".into(), (int32, true)),
]
.into_iter()
.collect(),
fields: HashMap::new(),
params: VarMap::new(),
});
let str = unifier.add_ty(TypeEnum::TObj {
@ -423,13 +414,6 @@ impl TopLevelComposer {
_ => unreachable!(),
};
let list_elem_tvar = unifier.get_fresh_var(Some("list_elem".into()), None);
let list = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::List.id(),
fields: Mapping::new(),
params: into_var_map([list_elem_tvar]),
});
let ndarray_dtype_tvar = unifier.get_fresh_var(Some("ndarray_dtype".into()), None);
let ndarray_ndims_tvar =
unifier.get_fresh_const_generic_var(size_t_ty, Some("ndarray_ndims".into()), None);
@ -471,7 +455,6 @@ impl TopLevelComposer {
str,
exception,
option,
list,
ndarray,
size_t,
};
@ -495,7 +478,6 @@ impl TopLevelComposer {
object_id: obj_id,
type_vars: Vec::default(),
fields: Vec::default(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
constructor,
@ -909,9 +891,7 @@ pub fn arraylike_flatten_element_type(unifier: &mut Unifier, ty: Type) -> Type {
unpack_ndarray_var_tys(unifier, ty).0
}
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
arraylike_flatten_element_type(unifier, iter_type_vars(params).next().unwrap().ty)
}
TypeEnum::TList { ty } => arraylike_flatten_element_type(unifier, *ty),
_ => ty,
}
}
@ -932,9 +912,7 @@ pub fn arraylike_get_ndims(unifier: &mut Unifier, ty: Type) -> u64 {
u64::try_from(values[0].clone()).unwrap()
}
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
arraylike_get_ndims(unifier, iter_type_vars(params).next().unwrap().ty) + 1
}
TypeEnum::TList { ty } => arraylike_get_ndims(unifier, *ty) + 1,
_ => 0,
}
}

View File

@ -103,10 +103,6 @@ pub enum TopLevelDef {
///
/// Name and type is mutable.
fields: Vec<(StrRef, Type, bool)>,
/// Class Attributes.
///
/// Name, type, value.
attributes: Vec<(StrRef, Type, ast::Constant)>,
/// Class methods, pointing to the corresponding function definition.
methods: Vec<(StrRef, Type, DefinitionId)>,
/// Ancestor classes, including itself.

View File

@ -5,7 +5,7 @@ expression: res_vec
[
"Class {\nname: \"Generic_A\",\nancestors: [\"Generic_A[V]\", \"B\"],\nfields: [\"aa\", \"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\"), (\"fun\", \"fn[[a:int32], V]\")],\ntype_vars: [\"V\"]\n}\n",
"Function {\nname: \"Generic_A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(245)]\n}\n",
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(239)]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [\"aa\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"B.foo\",\nsig: \"fn[[b:T], none]\",\nvar_id: []\n}\n",

View File

@ -7,7 +7,7 @@ expression: res_vec
"Function {\nname: \"A.__init__\",\nsig: \"fn[[t:T], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[c:C], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B[typevar234]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: [\"typevar234\"]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B[typevar228]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: [\"typevar228\"]\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"B.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
"Class {\nname: \"C\",\nancestors: [\"C\", \"B[bool]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\", \"e\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: []\n}\n",

View File

@ -5,8 +5,8 @@ expression: res_vec
[
"Function {\nname: \"foo\",\nsig: \"fn[[a:list[int32], b:tuple[T, float]], A[B, bool]]\",\nvar_id: []\n}\n",
"Class {\nname: \"A\",\nancestors: [\"A[T, V]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[v:V], none]\"), (\"fun\", \"fn[[a:T], V]\")],\ntype_vars: [\"T\", \"V\"]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(247)]\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(252)]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(241)]\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(246)]\n}\n",
"Function {\nname: \"gfun\",\nsig: \"fn[[a:A[list[float], int32]], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [],\nmethods: [(\"__init__\", \"fn[[], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",

View File

@ -3,7 +3,7 @@ source: nac3core/src/toplevel/test.rs
expression: res_vec
---
[
"Class {\nname: \"A\",\nancestors: [\"A[typevar233, typevar234]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[float, bool], b:B], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\")],\ntype_vars: [\"typevar233\", \"typevar234\"]\n}\n",
"Class {\nname: \"A\",\nancestors: [\"A[typevar227, typevar228]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[float, bool], b:B], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\")],\ntype_vars: [\"typevar227\", \"typevar228\"]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[a:A[float, bool], b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:A[float, bool]], A[bool, int32]]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\", \"A[int64, bool]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\"), (\"foo\", \"fn[[b:B], B]\"), (\"bar\", \"fn[[a:A[list[B], int32]], tuple[A[virtual[A[B, int32]], bool], B]]\")],\ntype_vars: []\n}\n",

View File

@ -6,12 +6,12 @@ expression: res_vec
"Class {\nname: \"A\",\nancestors: [\"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(253)]\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(247)]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\", \"C\", \"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"C\",\nancestors: [\"C\", \"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"C.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"C.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"foo\",\nsig: \"fn[[a:A], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(261)]\n}\n",
"Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(255)]\n}\n",
]

View File

@ -1,6 +1,3 @@
use super::*;
use crate::toplevel::helper::PrimDef;
use crate::typecheck::typedef::into_var_map;
use crate::{
codegen::CodeGenContext,
symbol_resolver::{SymbolResolver, ValueEnum},
@ -17,6 +14,8 @@ use parking_lot::Mutex;
use std::{collections::HashMap, sync::Arc};
use test_case::test_case;
use super::*;
struct ResolverInternal {
id_to_type: Mutex<HashMap<StrRef, Type>>,
id_to_def: Mutex<HashMap<StrRef, DefinitionId>>,
@ -776,15 +775,8 @@ fn make_internal_resolver_with_tvar(
unifier: &mut Unifier,
print: bool,
) -> Arc<ResolverInternal> {
let list_elem_tvar = unifier.get_fresh_var(Some("list_elem".into()), None);
let list = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::List.id(),
fields: HashMap::new(),
params: into_var_map([list_elem_tvar]),
});
let res: Arc<ResolverInternal> = ResolverInternal {
id_to_def: Mutex::new(HashMap::from([("list".into(), PrimDef::List.id())])),
id_to_def: Mutex::default(),
id_to_type: tvars
.into_iter()
.map(|(name, range)| {
@ -798,7 +790,7 @@ fn make_internal_resolver_with_tvar(
})
.collect::<HashMap<_, _>>()
.into(),
class_names: Mutex::new(HashMap::from([("list".into(), list)])),
class_names: Mutex::default(),
}
.into();
if print {

View File

@ -18,6 +18,7 @@ pub enum TypeAnnotation {
TypeVar(Type),
/// A `Literal` allowing a subset of literals.
Literal(Vec<Constant>),
List(Box<TypeAnnotation>),
Tuple(Vec<TypeAnnotation>),
}
@ -50,6 +51,7 @@ impl TypeAnnotation {
format!("Literal({})", values.iter().map(|v| format!("{v:?}")).join(", "))
}
Virtual(ty) => format!("virtual[{}]", ty.stringify(unifier)),
List(ty) => format!("list[{}]", ty.stringify(unifier)),
Tuple(types) => {
format!(
"tuple[{}]",
@ -143,7 +145,9 @@ pub fn parse_ast_to_type_annotation_kinds<T, S: std::hash::BuildHasher + Clone>(
slice: &ast::Expr<T>,
unifier: &mut Unifier,
mut locked: HashMap<DefinitionId, Vec<Type>, S>| {
if ["virtual".into(), "Generic".into(), "tuple".into(), "Option".into()].contains(id) {
if ["virtual".into(), "Generic".into(), "list".into(), "tuple".into(), "Option".into()]
.contains(id)
{
return Err(HashSet::from([format!(
"keywords cannot be class name (at {})",
expr.location
@ -232,6 +236,23 @@ pub fn parse_ast_to_type_annotation_kinds<T, S: std::hash::BuildHasher + Clone>(
Ok(TypeAnnotation::Virtual(def.into()))
}
// list
ast::ExprKind::Subscript { value, slice, .. }
if {
matches!(&value.node, ast::ExprKind::Name { id, .. } if id == &"list".into())
} =>
{
let def_ann = parse_ast_to_type_annotation_kinds(
resolver,
top_level_defs,
unifier,
primitives,
slice.as_ref(),
locked,
)?;
Ok(TypeAnnotation::List(def_ann.into()))
}
// option
ast::ExprKind::Subscript { value, slice, .. }
if {
@ -449,7 +470,6 @@ pub fn get_type_from_type_annotation_kinds(
}
result
};
// Class Attributes keep a copy with Class Definition and are not added to objects
let mut tobj_fields = methods
.iter()
.map(|(name, ty, _)| {
@ -495,6 +515,15 @@ pub fn get_type_from_type_annotation_kinds(
)?;
Ok(unifier.add_ty(TypeEnum::TVirtual { ty }))
}
TypeAnnotation::List(ty) => {
let ty = get_type_from_type_annotation_kinds(
top_level_defs,
unifier,
ty.as_ref(),
subst_list,
)?;
Ok(unifier.add_ty(TypeEnum::TList { ty }))
}
TypeAnnotation::Tuple(tys) => {
let tys = tys
.iter()
@ -535,7 +564,7 @@ pub fn get_type_var_contained_in_type_annotation(ann: &TypeAnnotation) -> Vec<Ty
let mut result: Vec<TypeAnnotation> = Vec::new();
match ann {
TypeAnnotation::TypeVar(..) => result.push(ann.clone()),
TypeAnnotation::Virtual(ann) => {
TypeAnnotation::Virtual(ann) | TypeAnnotation::List(ann) => {
result.extend(get_type_var_contained_in_type_annotation(ann.as_ref()));
}
TypeAnnotation::CustomClass { params, .. } => {
@ -576,7 +605,8 @@ pub fn check_overload_type_annotation_compatible(
a == b
}
(TypeAnnotation::Virtual(a), TypeAnnotation::Virtual(b)) => {
(TypeAnnotation::Virtual(a), TypeAnnotation::Virtual(b))
| (TypeAnnotation::List(a), TypeAnnotation::List(b)) => {
check_overload_type_annotation_compatible(a.as_ref(), b.as_ref(), unifier)
}

View File

@ -1,7 +1,7 @@
use crate::toplevel::helper::PrimDef;
use crate::typecheck::typedef::TypeEnum;
use super::type_inferencer::Inferencer;
use super::typedef::{Type, TypeEnum};
use super::typedef::Type;
use nac3parser::ast::{
self, Constant, Expr, ExprKind,
Operator::{LShift, RShift},
@ -69,7 +69,6 @@ impl<'a> Inferencer<'a> {
// there are some cases where the custom field is None
if let Some(ty) = &expr.custom {
if !matches!(&expr.node, ExprKind::Constant { value: Constant::Ellipsis, .. })
&& !ty.obj_id(self.unifier).is_some_and(|id| id == PrimDef::List.id())
&& !self.unifier.is_concrete(*ty, &self.function_data.bound_variables)
{
return Err(HashSet::from([format!(

View File

@ -5,7 +5,7 @@ use crate::typecheck::{
type_inferencer::*,
typedef::{FunSignature, FuncArg, Type, TypeEnum, Unifier, VarMap},
};
use itertools::{iproduct, Itertools};
use itertools::Itertools;
use nac3parser::ast::StrRef;
use nac3parser::ast::{Cmpop, Operator, Unaryop};
use std::cmp::max;
@ -13,138 +13,67 @@ use std::collections::HashMap;
use std::rc::Rc;
use strum::IntoEnumIterator;
/// The variant of a binary operator.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum BinopVariant {
/// The normal variant.
/// For addition, it would be `+`.
Normal,
/// The "Augmented Assigning Operator" variant.
/// For addition, it would be `+=`.
AugAssign,
}
/// A binary operator with its variant.
#[derive(Debug, Clone, Copy)]
pub struct Binop {
/// The base [`Operator`] of this binary operator.
pub base: Operator,
/// The variant of this binary operator.
pub variant: BinopVariant,
}
impl Binop {
/// Make a [`Binop`] of the normal variant from an [`Operator`].
#[must_use]
pub fn normal(base: Operator) -> Self {
Binop { base, variant: BinopVariant::Normal }
}
/// Make a [`Binop`] of the aug assign variant from an [`Operator`].
#[must_use]
pub fn aug_assign(base: Operator) -> Self {
Binop { base, variant: BinopVariant::AugAssign }
}
}
/// Details about an operator (unary, binary, etc...) in Python
#[derive(Debug, Clone, Copy)]
pub struct OpInfo {
/// The method name of the binary operator.
/// For addition, this would be `__add__`, and `__iadd__` if
/// it is the augmented assigning variant.
pub method_name: &'static str,
/// The symbol of the binary operator.
/// For addition, this would be `+`, and `+=` if
/// it is the augmented assigning variant.
pub symbol: &'static str,
}
/// Helper macro to conveniently build an [`OpInfo`].
///
/// Example usage: `make_info("add", "+")` generates `OpInfo { name: "__add__", symbol: "+" }`
macro_rules! make_op_info {
($name:expr, $symbol:expr) => {
OpInfo { method_name: concat!("__", $name, "__"), symbol: $symbol }
};
}
pub trait HasOpInfo {
fn op_info(&self) -> OpInfo;
}
fn try_get_cmpop_info(op: Cmpop) -> Option<OpInfo> {
#[must_use]
pub fn binop_name(op: Operator) -> &'static str {
match op {
Cmpop::Lt => Some(make_op_info!("lt", "<")),
Cmpop::LtE => Some(make_op_info!("le", "<=")),
Cmpop::Gt => Some(make_op_info!("gt", ">")),
Cmpop::GtE => Some(make_op_info!("ge", ">=")),
Cmpop::Eq => Some(make_op_info!("eq", "==")),
Cmpop::NotEq => Some(make_op_info!("ne", "!=")),
Operator::Add => "__add__",
Operator::Sub => "__sub__",
Operator::Div => "__truediv__",
Operator::Mod => "__mod__",
Operator::Mult => "__mul__",
Operator::Pow => "__pow__",
Operator::BitOr => "__or__",
Operator::BitXor => "__xor__",
Operator::BitAnd => "__and__",
Operator::LShift => "__lshift__",
Operator::RShift => "__rshift__",
Operator::FloorDiv => "__floordiv__",
Operator::MatMult => "__matmul__",
}
}
#[must_use]
pub fn binop_assign_name(op: Operator) -> &'static str {
match op {
Operator::Add => "__iadd__",
Operator::Sub => "__isub__",
Operator::Div => "__itruediv__",
Operator::Mod => "__imod__",
Operator::Mult => "__imul__",
Operator::Pow => "__ipow__",
Operator::BitOr => "__ior__",
Operator::BitXor => "__ixor__",
Operator::BitAnd => "__iand__",
Operator::LShift => "__ilshift__",
Operator::RShift => "__irshift__",
Operator::FloorDiv => "__ifloordiv__",
Operator::MatMult => "__imatmul__",
}
}
#[must_use]
pub fn unaryop_name(op: Unaryop) -> &'static str {
match op {
Unaryop::UAdd => "__pos__",
Unaryop::USub => "__neg__",
Unaryop::Not => "__not__",
Unaryop::Invert => "__inv__",
}
}
#[must_use]
pub fn comparison_name(op: Cmpop) -> Option<&'static str> {
match op {
Cmpop::Lt => Some("__lt__"),
Cmpop::LtE => Some("__le__"),
Cmpop::Gt => Some("__gt__"),
Cmpop::GtE => Some("__ge__"),
Cmpop::Eq => Some("__eq__"),
Cmpop::NotEq => Some("__ne__"),
_ => None,
}
}
impl OpInfo {
#[must_use]
pub fn supports_cmpop(op: Cmpop) -> bool {
try_get_cmpop_info(op).is_some()
}
}
impl HasOpInfo for Cmpop {
fn op_info(&self) -> OpInfo {
try_get_cmpop_info(*self).expect("{self:?} is not supported")
}
}
impl HasOpInfo for Binop {
fn op_info(&self) -> OpInfo {
// Helper macro to generate both the normal variant [`OpInfo`] and the
// augmented assigning variant [`OpInfo`] for a binary operator conveniently.
macro_rules! info {
($name:literal, $symbol:literal) => {
(
make_op_info!($name, $symbol),
make_op_info!(concat!("i", $name), concat!($symbol, "=")),
)
};
}
let (normal_variant, aug_assign_variant) = match self.base {
Operator::Add => info!("add", "+"),
Operator::Sub => info!("sub", "-"),
Operator::Div => info!("truediv", "/"),
Operator::Mod => info!("mod", "%"),
Operator::Mult => info!("mul", "*"),
Operator::Pow => info!("pow", "**"),
Operator::BitOr => info!("or", "|"),
Operator::BitXor => info!("xor", "^"),
Operator::BitAnd => info!("and", "&"),
Operator::LShift => info!("lshift", "<<"),
Operator::RShift => info!("rshift", ">>"),
Operator::FloorDiv => info!("floordiv", "//"),
Operator::MatMult => info!("matmul", "@"),
};
match self.variant {
BinopVariant::Normal => normal_variant,
BinopVariant::AugAssign => aug_assign_variant,
}
}
}
impl HasOpInfo for Unaryop {
fn op_info(&self) -> OpInfo {
match self {
Unaryop::UAdd => make_op_info!("pos", "+"),
Unaryop::USub => make_op_info!("neg", "-"),
Unaryop::Not => make_op_info!("not", "not"), // i.e., `not False`, so the symbol is just `not`.
Unaryop::Invert => make_op_info!("inv", "~"),
}
}
}
pub(super) fn with_fields<F>(unifier: &mut Unifier, ty: Type, f: F)
where
F: FnOnce(&mut Unifier, &mut HashMap<StrRef, (Type, bool)>),
@ -186,9 +115,23 @@ pub fn impl_binop(
let ret_ty = ret_ty.unwrap_or_else(|| unifier.get_fresh_var(None, None).ty);
for (base_op, variant) in iproduct!(ops, [BinopVariant::Normal, BinopVariant::AugAssign]) {
let op = Binop { base: *base_op, variant };
fields.insert(op.op_info().method_name.into(), {
for op in ops {
fields.insert(binop_name(*op).into(), {
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
vars: function_vars.clone(),
args: vec![FuncArg {
ty: other_ty,
default_value: None,
name: "other".into(),
}],
})),
false,
)
});
fields.insert(binop_assign_name(*op).into(), {
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
@ -212,7 +155,7 @@ pub fn impl_unaryop(unifier: &mut Unifier, ty: Type, ret_ty: Option<Type>, ops:
for op in ops {
fields.insert(
op.op_info().method_name.into(),
unaryop_name(*op).into(),
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
@ -252,7 +195,7 @@ pub fn impl_cmpop(
for op in ops {
fields.insert(
op.op_info().method_name.into(),
comparison_name(*op).unwrap().into(),
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
@ -486,29 +429,12 @@ pub fn typeof_binop(
lhs: Type,
rhs: Type,
) -> Result<Option<Type>, String> {
let op = Binop { base: op, variant: BinopVariant::Normal };
let is_left_list = lhs.obj_id(unifier).is_some_and(|id| id == PrimDef::List.id());
let is_right_list = rhs.obj_id(unifier).is_some_and(|id| id == PrimDef::List.id());
let is_left_ndarray = lhs.obj_id(unifier).is_some_and(|id| id == PrimDef::NDArray.id());
let is_right_ndarray = rhs.obj_id(unifier).is_some_and(|id| id == PrimDef::NDArray.id());
Ok(Some(match op.base {
Ok(Some(match op {
Operator::Add | Operator::Sub | Operator::Mult | Operator::Mod | Operator::FloorDiv => {
if is_left_list || is_right_list {
if ![Operator::Add, Operator::Mult].contains(&op.base) {
return Err(format!(
"Binary operator {} not supported for list",
op.op_info().symbol
));
}
if is_left_list {
lhs
} else {
rhs
}
} else if is_left_ndarray || is_right_ndarray {
if is_left_ndarray || is_right_ndarray {
typeof_ndarray_broadcast(unifier, primitives, lhs, rhs)?
} else if unifier.unioned(lhs, rhs) {
lhs
@ -678,7 +604,6 @@ pub fn set_primitives_magic_methods(store: &PrimitiveStore, unifier: &mut Unifie
bool: bool_t,
uint32: uint32_t,
uint64: uint64_t,
list: list_t,
ndarray: ndarray_t,
..
} = *store;
@ -723,11 +648,6 @@ pub fn set_primitives_magic_methods(store: &PrimitiveStore, unifier: &mut Unifie
impl_sign(unifier, store, bool_t, Some(int32_t));
impl_eq(unifier, store, bool_t, &[bool_t, ndarray_bool_t], None);
/* list ======== */
impl_binop(unifier, store, list_t, &[list_t], Some(list_t), &[Operator::Add]);
impl_binop(unifier, store, list_t, &[int32_t, int64_t], Some(list_t), &[Operator::Mult]);
impl_cmpop(unifier, store, list_t, &[list_t], &[Cmpop::Eq, Cmpop::NotEq], Some(bool_t));
/* ndarray ===== */
let ndarray_usized_ndims_tvar =
unifier.get_fresh_const_generic_var(size_t, Some("ndarray_ndims".into()), None);

View File

@ -1,46 +1,24 @@
use std::collections::HashMap;
use std::fmt::Display;
use crate::typecheck::{magic_methods::HasOpInfo, typedef::TypeEnum};
use crate::typecheck::typedef::TypeEnum;
use super::{
magic_methods::Binop,
typedef::{RecordKey, Type, Unifier},
};
use itertools::Itertools;
use nac3parser::ast::{Cmpop, Location, StrRef};
use super::typedef::{RecordKey, Type, Unifier};
use nac3parser::ast::{Location, StrRef};
#[derive(Debug, Clone)]
pub enum TypeErrorKind {
GotMultipleValues {
name: StrRef,
},
TooManyArguments {
expected_min_count: usize,
expected_max_count: usize,
got_count: usize,
},
MissingArgs {
missing_arg_names: Vec<StrRef>,
expected: usize,
got: usize,
},
MissingArgs(String),
UnknownArgName(StrRef),
IncorrectArgType {
name: StrRef,
expected: Type,
got: Type,
},
UnsupportedBinaryOpTypes {
operator: Binop,
lhs_type: Type,
rhs_type: Type,
expected_rhs_type: Type,
},
UnsupportedComparsionOpTypes {
operator: Cmpop,
lhs_type: Type,
rhs_type: Type,
expected_rhs_type: Type,
},
FieldUnificationError {
field: RecordKey,
types: (Type, Type),
@ -56,7 +34,6 @@ pub enum TypeErrorKind {
},
RequiresTypeAnn,
PolymorphicFunctionPointer,
NoSuchAttribute(RecordKey, Type),
}
#[derive(Debug, Clone)]
@ -100,49 +77,19 @@ impl<'a> Display for DisplayTypeError<'a> {
use TypeErrorKind::*;
let mut notes = Some(HashMap::new());
match &self.err.kind {
GotMultipleValues { name } => {
write!(f, "For multiple values for parameter {name}")
TooManyArguments { expected, got } => {
write!(f, "Too many arguments. Expected {expected} but got {got}")
}
TooManyArguments { expected_min_count, expected_max_count, got_count } => {
debug_assert!(expected_min_count <= expected_max_count);
if expected_min_count == expected_max_count {
let expected_count = expected_min_count; // or expected_max_count
write!(f, "Too many arguments. Expected {expected_count} but got {got_count}")
} else {
write!(f, "Too many arguments. Expected {expected_min_count} to {expected_max_count} arguments but got {got_count}")
}
}
MissingArgs { missing_arg_names } => {
let args = missing_arg_names.iter().join(", ");
MissingArgs(args) => {
write!(f, "Missing arguments: {args}")
}
UnsupportedBinaryOpTypes { operator, lhs_type, rhs_type, expected_rhs_type } => {
let op_symbol = operator.op_info().symbol;
let lhs_type_str = self.unifier.stringify_with_notes(*lhs_type, &mut notes);
let rhs_type_str = self.unifier.stringify_with_notes(*rhs_type, &mut notes);
let expected_rhs_type_str =
self.unifier.stringify_with_notes(*expected_rhs_type, &mut notes);
write!(f, "Unsupported operand type(s) for {op_symbol}: '{lhs_type_str}' and '{rhs_type_str}' (right operand should have type {expected_rhs_type_str})")
}
UnsupportedComparsionOpTypes { operator, lhs_type, rhs_type, expected_rhs_type } => {
let op_symbol = operator.op_info().symbol;
let lhs_type_str = self.unifier.stringify_with_notes(*lhs_type, &mut notes);
let rhs_type_str = self.unifier.stringify_with_notes(*rhs_type, &mut notes);
let expected_rhs_type_str =
self.unifier.stringify_with_notes(*expected_rhs_type, &mut notes);
write!(f, "'{op_symbol}' not supported between instances of '{lhs_type_str}' and '{rhs_type_str}' (right operand should have type {expected_rhs_type_str})")
}
UnknownArgName(name) => {
write!(f, "Unknown argument name: {name}")
}
IncorrectArgType { name, expected, got } => {
let expected = self.unifier.stringify_with_notes(*expected, &mut notes);
let got = self.unifier.stringify_with_notes(*got, &mut notes);
write!(f, "Incorrect argument type for parameter {name}. Expected {expected}, but got {got}")
write!(f, "Incorrect argument type for {name}. Expected {expected}, but got {got}")
}
FieldUnificationError { field, types, loc } => {
let lhs = self.unifier.stringify_with_notes(types.0, &mut notes);
@ -209,10 +156,6 @@ impl<'a> Display for DisplayTypeError<'a> {
let t = self.unifier.stringify_with_notes(*t, &mut notes);
write!(f, "`{t}::{name}` field/method does not exist")
}
NoSuchAttribute(name, t) => {
let t = self.unifier.stringify_with_notes(*t, &mut notes);
write!(f, "`{t}::{name}` is not a class attribute")
}
TupleIndexOutOfBounds { index, len } => {
write!(
f,

View File

@ -4,20 +4,14 @@ use std::iter::once;
use std::ops::Not;
use std::{cell::RefCell, sync::Arc};
use super::{
magic_methods::*,
type_error::{TypeError, TypeErrorKind},
typedef::{
into_var_map, iter_type_vars, Call, CallId, FunSignature, FuncArg, OperatorInfo,
RecordField, RecordKey, Type, TypeEnum, TypeVar, Unifier, VarMap,
},
};
use super::typedef::{Call, FunSignature, FuncArg, RecordField, Type, TypeEnum, Unifier, VarMap};
use super::{magic_methods::*, type_error::TypeError, typedef::CallId};
use crate::{
symbol_resolver::{SymbolResolver, SymbolValue},
toplevel::{
helper::{arraylike_flatten_element_type, arraylike_get_ndims, PrimDef},
numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
TopLevelContext, TopLevelDef,
TopLevelContext,
},
};
use itertools::{izip, Itertools};
@ -55,7 +49,6 @@ pub struct PrimitiveStore {
pub str: Type,
pub exception: Type,
pub option: Type,
pub list: Type,
pub ndarray: Type,
pub size_t: u32,
}
@ -113,14 +106,6 @@ fn report_error<T>(msg: &str, location: Location) -> Result<T, HashSet<String>>
Err(HashSet::from([format!("{msg} at {location}")]))
}
fn report_type_error<T>(
kind: TypeErrorKind,
loc: Option<Location>,
unifier: &Unifier,
) -> Result<T, HashSet<String>> {
Err(HashSet::from([TypeError::new(kind, loc).to_display(unifier).to_string()]))
}
impl<'a> Fold<()> for Inferencer<'a> {
type TargetU = Option<Type>;
type Error = HashSet<String>;
@ -256,32 +241,13 @@ impl<'a> Fold<()> for Inferencer<'a> {
self.unify(self.primitives.int32, target.custom.unwrap(), &target.location)?;
} else {
let list_like_ty = match &*self.unifier.get_ty(iter.custom.unwrap()) {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let list_tvar = iter_type_vars(params).nth(0).unwrap();
self.unifier
.subst(
self.primitives.list,
&into_var_map([TypeVar {
id: list_tvar.id,
ty: target.custom.unwrap(),
}]),
)
.unwrap()
TypeEnum::TList { .. } => {
self.unifier.add_ty(TypeEnum::TList { ty: target.custom.unwrap() })
}
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
todo!()
}
_ => {
// User is attempting to use a for loop to iterate
// over a value of an unsupported type.
let iter_ty = iter.custom.unwrap();
let iter_ty_str = self.unifier.stringify(iter_ty);
return report_error(
format!("'{iter_ty_str}' object is not iterable").as_str(),
iter.location,
);
}
_ => unreachable!(),
};
self.unify(list_like_ty, iter.custom.unwrap(), &iter.location)?;
}
@ -499,8 +465,7 @@ impl<'a> Fold<()> for Inferencer<'a> {
(None, None) => {}
},
ast::StmtKind::AugAssign { target, op, value, .. } => {
let res_ty =
self.infer_bin_ops(stmt.location, target, Binop::aug_assign(*op), value)?;
let res_ty = self.infer_bin_ops(stmt.location, target, *op, value, true)?;
self.unify(res_ty, target.custom.unwrap(), &stmt.location)?;
}
ast::StmtKind::Assert { test, msg, .. } => {
@ -582,7 +547,7 @@ impl<'a> Fold<()> for Inferencer<'a> {
}
ExprKind::BoolOp { values, .. } => Some(self.infer_bool_ops(values)?),
ExprKind::BinOp { left, op, right } => {
Some(self.infer_bin_ops(expr.location, left, Binop::normal(*op), right)?)
Some(self.infer_bin_ops(expr.location, left, *op, right, false)?)
}
ExprKind::UnaryOp { op, operand } => {
Some(self.infer_unary_ops(expr.location, *op, operand)?)
@ -649,7 +614,6 @@ impl<'a> Inferencer<'a> {
obj: Type,
params: Vec<Type>,
ret: Option<Type>,
operator_info: Option<OperatorInfo>,
) -> InferenceResult {
if let TypeEnum::TObj { params: class_params, fields, .. } = &*self.unifier.get_ty(obj) {
if class_params.is_empty() {
@ -663,7 +627,6 @@ impl<'a> Inferencer<'a> {
ret: sign.ret,
fun: RefCell::new(None),
loc: Some(location),
operator_info,
};
if let Some(ret) = ret {
self.unifier
@ -678,7 +641,14 @@ impl<'a> Inferencer<'a> {
})
.unwrap();
}
self.unifier.unify_call(&call, ty, sign).map_err(|e| {
let required: Vec<_> = sign
.args
.iter()
.filter(|v| v.default_value.is_none())
.map(|v| v.name)
.rev()
.collect();
self.unifier.unify_call(&call, ty, sign, &required).map_err(|e| {
HashSet::from([e
.at(Some(location))
.to_display(self.unifier)
@ -698,7 +668,6 @@ impl<'a> Inferencer<'a> {
ret,
fun: RefCell::new(None),
loc: Some(location),
operator_info,
});
self.calls.insert(location.into(), call);
let call = self.unifier.add_ty(TypeEnum::TCall(vec![call]));
@ -791,16 +760,6 @@ impl<'a> Inferencer<'a> {
generators[0].target.location,
);
}
let list_tvar = if let TypeEnum::TObj { obj_id, params, .. } =
&*self.unifier.get_ty_immutable(self.primitives.list)
{
assert_eq!(*obj_id, PrimDef::List.id());
iter_type_vars(params).nth(0).unwrap()
} else {
unreachable!()
};
let variable_mapping = self.variable_mapping.clone();
let defined_identifiers = self.defined_identifiers.clone();
let mut new_context = Inferencer {
@ -829,13 +788,7 @@ impl<'a> Inferencer<'a> {
&target.location,
)?;
} else {
let list = new_context
.unifier
.subst(
self.primitives.list,
&into_var_map([TypeVar { id: list_tvar.id, ty: target.custom.unwrap() }]),
)
.unwrap();
let list = new_context.unifier.add_ty(TypeEnum::TList { ty: target.custom.unwrap() });
new_context.unify(iter.custom.unwrap(), list, &iter.location)?;
}
let ifs: Vec<_> = generator
@ -852,16 +805,9 @@ impl<'a> Inferencer<'a> {
new_context.unify(v.custom.unwrap(), new_context.primitives.bool, &v.location)?;
}
let custom = new_context
.unifier
.subst(
self.primitives.list,
&into_var_map([TypeVar { id: list_tvar.id, ty: elt.custom.unwrap() }]),
)
.unwrap();
Ok(Located {
location,
custom: Some(custom),
custom: Some(new_context.unifier.add_ty(TypeEnum::TList { ty: elt.custom.unwrap() })),
node: ExprKind::ListComp {
elt: Box::new(elt),
generators: vec![Comprehension {
@ -874,151 +820,6 @@ impl<'a> Inferencer<'a> {
})
}
/// Fold an ndarray `shape` argument. This function aims to fold `shape` arguments like that of
/// <https://numpy.org/doc/stable/reference/generated/numpy.zeros.html> (for `np_zeros`).
///
/// Arguments:
/// * `id` - The name of the function of the function call this `shape` argument is in. Used for error reporting.
/// * `arg_index` - The position (0-based) of this argument in the function call. Used for error reporting.
/// * `shape_expr` - [`Located<ExprKind>`] of the input argument.
///
/// On success, it returns a tuple of
/// 1) the `ndims` value inferred from the input `shape`,
/// 2) and the elaborated expression. Like what other fold functions of [`Inferencer`] would normally return.
fn fold_numpy_function_call_shape_argument(
&mut self,
id: StrRef,
arg_index: usize,
shape_expr: Located<ExprKind>,
) -> Result<(u64, ast::Expr<Option<Type>>), HashSet<String>> {
/*
### Further explanation
As said, this function aims to fold `shape` arguments, but this is *not* trivial.
The root of the issue is that `nac3core` has to deduce the `ndims`
of the created (for in the case of `np_zeros`) ndarray statically - i.e., during inference time.
There are three types of valid input to `shape`:
1. A python `List` (all `int32s`); e.g., `np_zeros([600, 800, 3])`
2. A python `Tuple` (all `int32s`); e.g., `np_zeros((600, 800, 3))`
3. An `int32`; e.g., `np_zeros(256)` - this is functionally equivalent to `np_zeros([256])`
For 2. and 3., `ndims` can be deduce immediately from the inferred type of the input:
- For 2. `ndims` is simply the number of elements found in [`TypeEnum::TTuple`] after typechecking the `shape` argument.
- For 3. `ndims` is simply 1.
For 1., `ndims` is supposedly the length of the input list. However, the length of the input list
is a runtime property. Therefore (as a hack) we resort to analyzing the argument expression [`ExprKind::List`]
itself to extract the input list length statically.
This implies that the user could only write:
```python
my_rgba_image = np_zeros([600, 800, 4])
# the shape argument is directly written as a list literal.
# and `nac3core` could therefore tell that ndims is `3` by
# looking at the raw AST expression itself.
```
But not:
```python
my_image_dimension = [600, 800, 4]
mystery_function_that_mutates_my_list(my_image_dimension)
my_image = np_zeros(my_image_dimension)
# what is the length now? what is `ndims`?
# it is *basically impossible* to generally determine the
# length of `my_image_dimension` statically for `ndims`!!
```
*/
// Fold `shape`
let shape = self.fold_expr(shape_expr)?;
let shape_ty = shape.custom.unwrap(); // The inferred type of `shape`
// Check `shape_ty` to see if its a list of int32s, a tuple of int32s, or just int32.
// Otherwise throw an error as that would mean the user wrote an ill-typed `shape_expr`.
//
// Here, we also take the opportunity to deduce `ndims` statically.
let shape_ty_enum = &*self.unifier.get_ty(shape_ty);
let ndims = match shape_ty_enum {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
// Handle 1. A list of int32s
let ty = iter_type_vars(params).nth(0).unwrap().ty;
// Typecheck
self.unifier.unify(ty, self.primitives.int32).map_err(|err| {
HashSet::from([err
.at(Some(shape.location))
.to_display(self.unifier)
.to_string()])
})?;
// Special handling for (1. A python `List` (all `int32s`)).
// Read the doc above this function to see what is going on here.
if let ExprKind::List { elts, .. } = &shape.node {
// The user wrote a List literal as the input argument
elts.len() as u64
} else {
// This means the user is passing an expression of type `List`,
// but it is done so indirectly (like putting a variable referencing a `List`)
// rather than writing a List literal. We need to report an error.
return Err(HashSet::from([
format!(
"Expected list literal, tuple, or int32 for argument {arg_num} of {id} at {location}. Input argument is of type list but not a list literal.",
arg_num = arg_index + 1,
location = shape.location
)
]));
}
}
TypeEnum::TTuple { ty: tuple_element_types } => {
// Handle 2. A tuple of int32s
// Typecheck
// The expected type is just the tuple but with all its elements being int32.
let expected_ty = self.unifier.add_ty(TypeEnum::TTuple {
ty: tuple_element_types.iter().map(|_| self.primitives.int32).collect_vec(),
});
self.unifier.unify(shape_ty, expected_ty).map_err(|err| {
HashSet::from([err
.at(Some(shape.location))
.to_display(self.unifier)
.to_string()])
})?;
// `ndims` can be deduced statically from the inferred Tuple type.
tuple_element_types.len() as u64
}
TypeEnum::TObj { obj_id, .. }
if *obj_id == self.primitives.int32.obj_id(self.unifier).unwrap() =>
{
// Handle 3. An int32 (generalized as [`TypeEnum::TObj`])
// Deduce `ndims`
1
}
_ => {
// The user wrote an ill-typed `shape_expr`,
// so throw an error.
let shape_ty_str = self.unifier.stringify(shape_ty);
return report_error(
format!(
"Expected list literal, tuple, or int32 for argument {arg_num} of {id}, got {shape_expr_name} of type {shape_ty_str}",
arg_num = arg_index + 1,
shape_expr_name = shape.node.name(),
)
.as_str(),
shape.location,
);
}
};
Ok((ndims, shape))
}
/// Tries to fold a special call. Returns [`Some`] if the call expression `func` is a special call, otherwise
/// returns [`None`].
fn try_fold_special_call(
@ -1346,15 +1147,25 @@ impl<'a> Inferencer<'a> {
}));
}
// 1-argument ndarray n-dimensional factory functions
// 1-argument ndarray n-dimensional creation functions
if ["np_ndarray".into(), "np_empty".into(), "np_zeros".into(), "np_ones".into()]
.contains(id)
&& args.len() == 1
{
let shape_expr = args.remove(0);
let (ndims, shape) =
self.fold_numpy_function_call_shape_argument(*id, 0, shape_expr)?; // Special handling for `shape`
let ExprKind::List { elts, .. } = &args[0].node else {
return report_error(
format!(
"Expected List literal for first argument of {id}, got {}",
args[0].node.name()
)
.as_str(),
args[0].location,
);
};
let ndims = elts.len() as u64;
let arg0 = self.fold_expr(args.remove(0))?;
let ndims = self.unifier.get_fresh_literal(vec![SymbolValue::U64(ndims)], None);
let ret = make_ndarray_ty(
self.unifier,
@ -1365,7 +1176,7 @@ impl<'a> Inferencer<'a> {
let custom = self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "shape".into(),
ty: shape.custom.unwrap(),
ty: arg0.custom.unwrap(),
default_value: None,
}],
ret,
@ -1381,7 +1192,7 @@ impl<'a> Inferencer<'a> {
location: func.location,
node: ExprKind::Name { id: *id, ctx: *ctx },
}),
args: vec![shape],
args: vec![arg0],
keywords: vec![],
},
}));
@ -1534,11 +1345,17 @@ impl<'a> Inferencer<'a> {
fun: RefCell::new(None),
ret: sign.ret,
loc: Some(location),
operator_info: None,
};
self.unifier.unify_call(&call, func.custom.unwrap(), sign).map_err(|e| {
HashSet::from([e.at(Some(location)).to_display(self.unifier).to_string()])
})?;
let required: Vec<_> = sign
.args
.iter()
.filter(|v| v.default_value.is_none())
.map(|v| v.name)
.rev()
.collect();
self.unifier.unify_call(&call, func.custom.unwrap(), sign, &required).map_err(
|e| HashSet::from([e.at(Some(location)).to_display(self.unifier).to_string()]),
)?;
return Ok(Located {
location,
custom: Some(sign.ret),
@ -1557,7 +1374,6 @@ impl<'a> Inferencer<'a> {
fun: RefCell::new(None),
ret,
loc: Some(location),
operator_info: None,
});
self.calls.insert(location.into(), call);
let call = self.unifier.add_ty(TypeEnum::TCall(vec![call]));
@ -1616,19 +1432,7 @@ impl<'a> Inferencer<'a> {
for t in elts {
self.unify(ty, t.custom.unwrap(), &t.location)?;
}
let list_tvar = if let TypeEnum::TObj { obj_id, params, .. } =
&*self.unifier.get_ty_immutable(self.primitives.list)
{
assert_eq!(*obj_id, PrimDef::List.id());
iter_type_vars(params).nth(0).unwrap()
} else {
unreachable!()
};
let list = self
.unifier
.subst(self.primitives.list, &into_var_map([TypeVar { id: list_tvar.id, ty }]))
.unwrap();
Ok(list)
Ok(self.unifier.add_ty(TypeEnum::TList { ty }))
}
#[allow(clippy::unnecessary_wraps)]
@ -1637,24 +1441,6 @@ impl<'a> Inferencer<'a> {
Ok(self.unifier.add_ty(TypeEnum::TTuple { ty }))
}
/// Checks for non-class attributes
fn infer_general_attribute(
&mut self,
value: &ast::Expr<Option<Type>>,
attr: StrRef,
ctx: ExprContext,
) -> InferenceResult {
let attr_ty = self.unifier.get_dummy_var().ty;
let fields = once((
attr.into(),
RecordField::new(attr_ty, ctx == ExprContext::Store, Some(value.location)),
))
.collect();
let record = self.unifier.add_record(fields);
self.constrain(value.custom.unwrap(), record, &value.location)?;
Ok(attr_ty)
}
fn infer_attribute(
&mut self,
value: &ast::Expr<Option<Type>>,
@ -1662,72 +1448,31 @@ impl<'a> Inferencer<'a> {
ctx: ExprContext,
) -> InferenceResult {
let ty = value.custom.unwrap();
if let TypeEnum::TObj { obj_id, fields, .. } = &*self.unifier.get_ty(ty) {
if let TypeEnum::TObj { fields, .. } = &*self.unifier.get_ty(ty) {
// just a fast path
match (fields.get(&attr), ctx == ExprContext::Store) {
(Some((ty, true)), _) | (Some((ty, false)), false) => Ok(*ty),
(Some((ty, false)), true) => report_type_error(
TypeErrorKind::MutationError(RecordKey::Str(attr), *ty),
Some(value.location),
self.unifier,
),
(None, mutable) => {
// Check whether it is a class attribute
let defs = self.top_level.definitions.read();
let result = {
if let TopLevelDef::Class { attributes, .. } = &*defs[obj_id.0].read() {
attributes.iter().find_map(|f| {
if f.0 == attr {
return Some(f.1);
(Some((_, false)), true) => {
report_error(&format!("Field `{attr}` is immutable"), value.location)
}
None
})
} else {
None
}
};
match result {
Some(res) if !mutable => Ok(res),
Some(_) => report_error(
&format!("Class Attribute `{attr}` is immutable"),
(None, _) => {
let t = self.unifier.stringify(ty);
report_error(
&format!("`{t}::{attr}` field/method does not exist"),
value.location,
),
None => report_type_error(
TypeErrorKind::NoSuchField(RecordKey::Str(attr), ty),
Some(value.location),
self.unifier,
),
)
}
}
}
} else if let TypeEnum::TFunc(sign) = &*self.unifier.get_ty(ty) {
// Access Class Attributes of classes with __init__ function using Class names e.g. Foo.ATTR1
let result = {
self.top_level.definitions.read().iter().find_map(|def| {
if let Some(rear_guard) = def.try_read() {
if let TopLevelDef::Class { name, attributes, .. } = &*rear_guard {
if name.to_string() == self.unifier.stringify(sign.ret) {
return attributes.iter().find_map(|f| {
if f.0 == attr {
return Some(f.clone().1);
}
None
});
}
}
}
None
})
};
match result {
Some(f) if ctx != ExprContext::Store => Ok(f),
Some(_) => {
report_error(&format!("Class Attribute `{attr}` is immutable"), value.location)
}
None => self.infer_general_attribute(value, attr, ctx),
}
} else {
self.infer_general_attribute(value, attr, ctx)
let attr_ty = self.unifier.get_dummy_var().ty;
let fields = once((
attr.into(),
RecordField::new(attr_ty, ctx == ExprContext::Store, Some(value.location)),
))
.collect();
let record = self.unifier.add_record(fields);
self.constrain(value.custom.unwrap(), record, &value.location)?;
Ok(attr_ty)
}
}
@ -1743,8 +1488,9 @@ impl<'a> Inferencer<'a> {
&mut self,
location: Location,
left: &ast::Expr<Option<Type>>,
op: Binop,
op: ast::Operator,
right: &ast::Expr<Option<Type>>,
is_aug_assign: bool,
) -> InferenceResult {
let left_ty = left.custom.unwrap();
let right_ty = right.custom.unwrap();
@ -1752,40 +1498,27 @@ impl<'a> Inferencer<'a> {
let method = if let TypeEnum::TObj { fields, .. } =
self.unifier.get_ty_immutable(left_ty).as_ref()
{
let normal_method_name = Binop::normal(op.base).op_info().method_name;
let assign_method_name = Binop::aug_assign(op.base).op_info().method_name;
let (binop_name, binop_assign_name) =
(binop_name(op).into(), binop_assign_name(op).into());
// if is aug_assign, try aug_assign operator first
if op.variant == BinopVariant::AugAssign
&& fields.contains_key(&assign_method_name.into())
{
assign_method_name
if is_aug_assign && fields.contains_key(&binop_assign_name) {
binop_assign_name
} else {
normal_method_name
binop_name
}
} else {
op.op_info().method_name
binop_name(op).into()
};
let ret = match op.variant {
BinopVariant::Normal => {
typeof_binop(self.unifier, self.primitives, op.base, left_ty, right_ty)
.map_err(|e| HashSet::from([format!("{e} (at {location})")]))?
}
BinopVariant::AugAssign => {
let ret = if is_aug_assign {
// The type of augmented assignment operator should never change
Some(left_ty)
}
} else {
typeof_binop(self.unifier, self.primitives, op, left_ty, right_ty)
.map_err(|e| HashSet::from([format!("{e} (at {location})")]))?
};
self.build_method_call(
location,
method.into(),
left_ty,
vec![right_ty],
ret,
Some(OperatorInfo::IsBinaryOp { self_type: left.custom.unwrap(), operator: op }),
)
self.build_method_call(location, method, left_ty, vec![right_ty], ret)
}
fn infer_unary_ops(
@ -1794,19 +1527,12 @@ impl<'a> Inferencer<'a> {
op: ast::Unaryop,
operand: &ast::Expr<Option<Type>>,
) -> InferenceResult {
let method = op.op_info().method_name.into();
let method = unaryop_name(op).into();
let ret = typeof_unaryop(self.unifier, self.primitives, op, operand.custom.unwrap())
.map_err(|e| HashSet::from([format!("{e} (at {location})")]))?;
self.build_method_call(
location,
method,
operand.custom.unwrap(),
vec![],
ret,
Some(OperatorInfo::IsUnaryOp { self_type: operand.custom.unwrap(), operator: op }),
)
self.build_method_call(location, method, operand.custom.unwrap(), vec![], ret)
}
fn infer_compare(
@ -1831,11 +1557,9 @@ impl<'a> Inferencer<'a> {
let mut res = None;
for (a, b, c) in izip!(once(left).chain(comparators), comparators, ops) {
if !OpInfo::supports_cmpop(*c) {
return Err(HashSet::from(["unsupported comparator".to_string()]));
}
let method = c.op_info().method_name.into();
let method = comparison_name(*c)
.ok_or_else(|| HashSet::from(["unsupported comparator".to_string()]))?
.into();
let ret = typeof_cmpop(
self.unifier,
@ -1852,10 +1576,6 @@ impl<'a> Inferencer<'a> {
a.custom.unwrap(),
vec![b.custom.unwrap()],
ret,
Some(OperatorInfo::IsComparisonOp {
self_type: left.custom.unwrap(),
operator: *c,
}),
)?);
}
@ -1956,18 +1676,6 @@ impl<'a> Inferencer<'a> {
slice: &ast::Expr<Option<Type>>,
ctx: ExprContext,
) -> InferenceResult {
let report_unscriptable_error = |unifier: &mut Unifier| {
// User is attempting to index into a value of an unsupported type.
let value_ty = value.custom.unwrap();
let value_ty_str = unifier.stringify(value_ty);
return report_error(
format!("'{value_ty_str}' object is not subscriptable").as_str(),
slice.location, // using the slice's location (rather than value's) because it is more clear
);
};
let ty = self.unifier.get_dummy_var().ty;
match &slice.node {
ExprKind::Slice { lower, upper, step } => {
@ -1975,16 +1683,7 @@ impl<'a> Inferencer<'a> {
self.constrain(v.custom.unwrap(), self.primitives.int32, &v.location)?;
}
let list_like_ty = match &*self.unifier.get_ty(value.custom.unwrap()) {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let list_tvar = iter_type_vars(params).nth(0).unwrap();
self.unifier
.subst(
self.primitives.list,
&into_var_map([TypeVar { id: list_tvar.id, ty }]),
)
.unwrap()
}
TypeEnum::TList { .. } => self.unifier.add_ty(TypeEnum::TList { ty }),
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
let (_, ndims) =
unpack_ndarray_var_tys(self.unifier, value.custom.unwrap());
@ -1992,9 +1691,7 @@ impl<'a> Inferencer<'a> {
make_ndarray_ty(self.unifier, self.primitives, Some(ty), Some(ndims))
}
_ => {
return report_unscriptable_error(self.unifier);
}
_ => unreachable!(),
};
self.constrain(value.custom.unwrap(), list_like_ty, &value.location)?;
Ok(list_like_ty)
@ -2059,20 +1756,13 @@ impl<'a> Inferencer<'a> {
// the index is not a constant, so value can only be a list-like structure
match &*self.unifier.get_ty(value.custom.unwrap()) {
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
TypeEnum::TList { .. } => {
self.constrain(
slice.custom.unwrap(),
self.primitives.int32,
&slice.location,
)?;
let list_tvar = iter_type_vars(params).nth(0).unwrap();
let list = self
.unifier
.subst(
self.primitives.list,
&into_var_map([TypeVar { id: list_tvar.id, ty }]),
)
.unwrap();
let list = self.unifier.add_ty(TypeEnum::TList { ty });
self.constrain(value.custom.unwrap(), list, &value.location)?;
Ok(ty)
}
@ -2091,7 +1781,7 @@ impl<'a> Inferencer<'a> {
self.constrain(slice.custom.unwrap(), valid_index_ty, &slice.location)?;
self.infer_subscript_ndarray(value, slice, ty, ndims)
}
_ => report_unscriptable_error(self.unifier),
_ => unreachable!(),
}
}
}

View File

@ -139,12 +139,6 @@ impl TestEnvironment {
fields: HashMap::new(),
params: VarMap::new(),
});
let list_elem_tvar = unifier.get_fresh_var(Some("list_elem".into()), None);
let list = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::List.id(),
fields: HashMap::new(),
params: into_var_map([list_elem_tvar]),
});
let ndarray_dtype_tvar = unifier.get_fresh_var(Some("ndarray_dtype".into()), None);
let ndarray_ndims_tvar =
unifier.get_fresh_const_generic_var(uint64, Some("ndarray_ndims".into()), None);
@ -165,7 +159,6 @@ impl TestEnvironment {
uint32,
uint64,
option,
list,
ndarray,
size_t: 64,
};
@ -280,33 +273,13 @@ impl TestEnvironment {
fields: HashMap::new(),
params: VarMap::new(),
});
let list_elem_tvar = unifier.get_fresh_var(Some("list_elem".into()), None);
let list = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::List.id(),
fields: HashMap::new(),
params: into_var_map([list_elem_tvar]),
});
let ndarray = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::NDArray.id(),
fields: HashMap::new(),
params: VarMap::new(),
});
identifier_mapping.insert("None".into(), none);
for (i, name) in [
"int32",
"int64",
"float",
"bool",
"none",
"range",
"str",
"Exception",
"uint32",
"uint64",
"Option",
"list",
"ndarray",
]
for (i, name) in ["int32", "int64", "float", "bool", "none", "range", "str", "Exception"]
.iter()
.enumerate()
{
@ -316,7 +289,6 @@ impl TestEnvironment {
object_id: DefinitionId(i),
type_vars: Vec::default(),
fields: Vec::default(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
resolver: None,
@ -326,7 +298,7 @@ impl TestEnvironment {
.into(),
);
}
let defs = 12;
let defs = 7;
let primitives = PrimitiveStore {
int32,
@ -340,7 +312,6 @@ impl TestEnvironment {
uint32,
uint64,
option,
list,
ndarray,
size_t: 64,
};
@ -360,7 +331,6 @@ impl TestEnvironment {
object_id: DefinitionId(defs + 1),
type_vars: vec![tvar.ty],
fields: [("a".into(), tvar.ty, true)].into(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
resolver: None,
@ -395,7 +365,6 @@ impl TestEnvironment {
object_id: DefinitionId(defs + 2),
type_vars: Vec::default(),
fields: [("a".into(), int32, true), ("b".into(), fun, true)].into(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
resolver: None,
@ -424,7 +393,6 @@ impl TestEnvironment {
object_id: DefinitionId(defs + 3),
type_vars: Vec::default(),
fields: [("a".into(), bool, true), ("b".into(), fun, false)].into(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
resolver: None,
@ -452,11 +420,6 @@ impl TestEnvironment {
"range".into(),
"str".into(),
"exception".into(),
"uint32".into(),
"uint64".into(),
"option".into(),
"list".into(),
"ndarray".into(),
"Foo".into(),
"Bar".into(),
"Bar2".into(),

View File

@ -8,15 +8,12 @@ use std::rc::Rc;
use std::sync::{Arc, Mutex};
use std::{borrow::Cow, collections::HashSet};
use nac3parser::ast::{Cmpop, Location, StrRef, Unaryop};
use nac3parser::ast::{Location, StrRef};
use super::magic_methods::Binop;
use super::type_error::{TypeError, TypeErrorKind};
use super::unification_table::{UnificationKey, UnificationTable};
use crate::symbol_resolver::SymbolValue;
use crate::toplevel::helper::PrimDef;
use crate::toplevel::{DefinitionId, TopLevelContext, TopLevelDef};
use crate::typecheck::magic_methods::OpInfo;
use crate::typecheck::type_inferencer::PrimitiveStore;
#[cfg(test)]
@ -76,28 +73,6 @@ pub fn iter_type_vars(var_map: &VarMap) -> impl Iterator<Item = TypeVar> + '_ {
var_map.iter().map(|(&id, &ty)| TypeVar { id, ty })
}
#[derive(Debug, Clone)]
pub enum OperatorInfo {
/// The call was written as an unary operation, e.g., `~a` or `not a`.
IsUnaryOp {
/// The [`Type`] of the `self` object
self_type: Type,
operator: Unaryop,
},
/// The call was written as a binary operation, e.g., `a + b` or `a += b`.
IsBinaryOp {
/// The [`Type`] of the `self` object
self_type: Type,
operator: Binop,
},
/// The call was written as a binary comparison operation, e.g., `a < b`.
IsComparisonOp {
/// The [`Type`] of the `self` object
self_type: Type,
operator: Cmpop,
},
}
#[derive(Clone)]
pub struct Call {
pub posargs: Vec<Type>,
@ -105,9 +80,6 @@ pub struct Call {
pub ret: Type,
pub fun: RefCell<Option<Type>>,
pub loc: Option<Location>,
/// Details about the associated Python user operator expression of this call, if any.
pub operator_info: Option<OperatorInfo>,
}
#[derive(Debug, Clone)]
@ -117,13 +89,6 @@ pub struct FuncArg {
pub default_value: Option<SymbolValue>,
}
impl FuncArg {
#[must_use]
pub fn is_required(&self) -> bool {
self.default_value.is_none()
}
}
#[derive(Debug, Clone)]
pub struct FunSignature {
pub args: Vec<FuncArg>,
@ -235,6 +200,12 @@ pub enum TypeEnum {
ty: Vec<Type>,
},
/// A list type.
TList {
/// The type of elements present in this list.
ty: Type,
},
/// An object type.
TObj {
/// The [`DefinitionId`] of this object type.
@ -268,6 +239,7 @@ impl TypeEnum {
TypeEnum::TVar { .. } => "TVar",
TypeEnum::TLiteral { .. } => "TConstant",
TypeEnum::TTuple { .. } => "TTuple",
TypeEnum::TList { .. } => "TList",
TypeEnum::TObj { .. } => "TObj",
TypeEnum::TVirtual { .. } => "TVirtual",
TypeEnum::TCall { .. } => "TCall",
@ -503,27 +475,9 @@ impl Unifier {
)
}
}
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let tv = iter_type_vars(params).nth(0).unwrap();
let tv_id = if let TypeEnum::TVar { id, .. } =
self.unification_table.probe_value(tv.ty).as_ref()
{
*id
} else {
tv.id
};
self.get_instantiations(tv.ty).map(|ty_insts| {
ty_insts
.iter()
.map(|&ty_inst| {
self.subst(ty, &into_var_map([TypeVar { id: tv_id, ty: ty_inst }]))
.unwrap_or(ty)
})
.collect()
})
}
TypeEnum::TList { ty } => self
.get_instantiations(*ty)
.map(|ty| ty.iter().map(|&ty| self.add_ty(TypeEnum::TList { ty })).collect_vec()),
TypeEnum::TVirtual { ty } => self.get_instantiations(*ty).map(|ty| {
ty.iter().map(|&ty| self.add_ty(TypeEnum::TVirtual { ty })).collect_vec()
}),
@ -580,7 +534,9 @@ impl Unifier {
TVar { .. } => allowed_typevars.iter().any(|b| self.unification_table.unioned(a, *b)),
TCall { .. } => false,
TVirtual { ty } => self.is_concrete(*ty, allowed_typevars),
TList { ty }
| TVirtual { ty } => self.is_concrete(*ty, allowed_typevars),
TTuple { ty } => ty.iter().all(|ty| self.is_concrete(*ty, allowed_typevars)),
TObj { params: vars, .. } => {
vars.values().all(|ty| self.is_concrete(*ty, allowed_typevars))
@ -606,218 +562,61 @@ impl Unifier {
call: &Call,
b: Type,
signature: &FunSignature,
required: &[StrRef],
) -> Result<(), TypeError> {
/*
NOTE: scenarios to consider:
```python
def func1(x: int32, y: int32, z: int32 = 5): pass
# Normal scenarios
func1(23, 45) # OK, z has default
func1(23, 45, 67) # OK, z's default is overwritten
func1(x = 23, y = 45) # OK, user is using kwargs to set positional args
func1(y = 45, x = 23) # OK, kwargs order doesn't matter
# Error scenarios
func1() # ERROR: Missing arguments: x, y
func1(23) # ERROR: Missing arguments: y
func1(z = 23) # ERROR: Missing arguments: x, y
func1(x = 23) # ERROR: Missing arguments: y
func1(23, 45, x = 5) # ERROR: Got multiple values for x
func1(23, 45, x = 5, y = 6) # ERROR: Got multiple values for x (y too but Python does not report it)
func1(23, 45, 67, z = 89) # ERROR: Got multiple values for z
func1(23, 45, 67, 89) # ERROR: Function only takes from 2 to 3 positional arguments but 4 were given.
func1(23, 45, 67, w = 3) # ERROR: Got an unexpected keyword argument 'w'
# Error scenarios that do not need to be handled here.
func1(23, 45, z = 67, z = 89) # ERROR: Keyword argument repeated: z, the parser panics on this.
```
*/
struct ParamInfo<'a> {
/// Has this parameter been supplied with an argument already?
has_been_supplied: bool,
/// The corresponding [`FuncArg`] instance of this parameter (for fast table lookups)
param: &'a FuncArg,
}
let snapshot = self.unification_table.get_snapshot();
if self.snapshot.is_none() {
self.snapshot = Some(snapshot);
}
// Get details about the function signature/parameters.
let num_params = signature.args.len();
// Force the type vars in `b` and `signature' to be up-to-date.
let b = self.instantiate_fun(b, signature);
let TypeEnum::TFunc(signature) = &*self.get_ty(b) else { unreachable!() };
// Get details about the input arguments
let Call { posargs, kwargs, ret, fun, loc, operator_info } = call;
let num_args = posargs.len() + kwargs.len();
// Now we check the arguments against the parameters,
// and depending on what `call_info` is, we might change how the behavior `unify_call()`
// in hopes to improve user error messages when type checking fails.
match operator_info {
Some(OperatorInfo::IsBinaryOp { self_type, operator }) => {
// The call is written in the form of (say) `a + b`.
// Technically, it is `a.__add__(b)`, and they have the following constraints:
assert_eq!(posargs.len(), 1);
assert_eq!(kwargs.len(), 0);
assert_eq!(num_params, 1);
let other_type = posargs[0]; // the second operand
let expected_other_type = signature.args[0].ty;
let ok = self.unify_impl(expected_other_type, other_type, false).is_ok();
if !ok {
self.restore_snapshot();
return Err(TypeError::new(
TypeErrorKind::UnsupportedBinaryOpTypes {
operator: *operator,
lhs_type: *self_type,
rhs_type: other_type,
expected_rhs_type: expected_other_type,
},
*loc,
));
}
}
Some(OperatorInfo::IsComparisonOp { self_type, operator })
if OpInfo::supports_cmpop(*operator) // Otherwise that comparison operator is not supported.
=>
{
// The call is written in the form of (say) `a <= b`.
// Technically, it is `a.__le__(b)`, and they have the following constraints:
assert_eq!(posargs.len(), 1);
assert_eq!(kwargs.len(), 0);
assert_eq!(num_params, 1);
let other_type = posargs[0]; // the second operand
let expected_other_type = signature.args[0].ty;
let ok = self.unify_impl(expected_other_type, other_type, false).is_ok();
if !ok {
self.restore_snapshot();
return Err(TypeError::new(
TypeErrorKind::UnsupportedComparsionOpTypes {
operator: *operator,
lhs_type: *self_type,
rhs_type: other_type,
expected_rhs_type: expected_other_type,
},
*loc,
));
}
}
_ => {
// Handle [`CallInfo::IsNormalFunctionCall`] and other uninteresting variants
// of [`CallInfo`] (e.g, `CallInfo::IsUnaryOp` and unsupported comparison operators)
// Helper lambdas
let mut type_check_arg = |param_name, expected_arg_ty, arg_ty| {
let ok = self.unify_impl(expected_arg_ty, arg_ty, false).is_ok();
if ok {
Ok(())
} else {
// Typecheck failed, throw an error.
self.restore_snapshot();
Err(TypeError::new(
TypeErrorKind::IncorrectArgType {
name: param_name,
expected: expected_arg_ty,
got: arg_ty,
},
*loc,
))
}
};
// Check for "too many arguments"
if num_params < posargs.len() {
let expected_min_count =
signature.args.iter().filter(|param| param.is_required()).count();
let expected_max_count = num_params;
let Call { posargs, kwargs, ret, fun, loc } = call;
let instantiated = self.instantiate_fun(b, signature);
let r = self.get_ty(instantiated);
let r = r.as_ref();
let TypeEnum::TFunc(signature) = r else { unreachable!() };
// we check to make sure that all required arguments (those without default
// arguments) are provided, and do not provide the same argument twice.
let mut required = required.to_vec();
let mut all_names: Vec<_> = signature.args.iter().map(|v| (v.name, v.ty)).rev().collect();
for (i, t) in posargs.iter().enumerate() {
if signature.args.len() <= i {
self.restore_snapshot();
return Err(TypeError::new(
TypeErrorKind::TooManyArguments {
expected_min_count,
expected_max_count,
got_count: num_args,
expected: signature.args.len(),
got: posargs.len() + kwargs.len(),
},
*loc,
));
}
// NOTE: order of `param_info_by_name` is leveraged, so use an IndexMap
let mut param_info_by_name: IndexMap<StrRef, ParamInfo> = signature
.args
.iter()
.map(|arg| (arg.name, ParamInfo { has_been_supplied: false, param: arg }))
.collect();
// Now consume all positional arguments and typecheck them.
for (&arg_ty, param) in zip(posargs, signature.args.iter()) {
// We will also use this opportunity to mark the corresponding `param_info` as having been supplied.
let param_info = param_info_by_name.get_mut(&param.name).unwrap();
param_info.has_been_supplied = true;
// Typecheck
type_check_arg(param.name, param.ty, arg_ty)?;
required.pop();
let (name, expected) = all_names.pop().unwrap();
self.unify_impl(expected, *t, false).map_err(|_| {
self.restore_snapshot();
TypeError::new(TypeErrorKind::IncorrectArgType { name, expected, got: *t }, *loc)
})?;
}
// Now consume all keyword arguments and typecheck them.
for (&param_name, &arg_ty) in kwargs {
// We will also use this opportunity to check if this keyword argument is "legal".
let Some(param_info) = param_info_by_name.get_mut(&param_name) else {
for (k, t) in kwargs {
if let Some(i) = required.iter().position(|v| v == k) {
required.remove(i);
}
let i = all_names.iter().position(|v| &v.0 == k).ok_or_else(|| {
self.restore_snapshot();
TypeError::new(TypeErrorKind::UnknownArgName(*k), *loc)
})?;
let (name, expected) = all_names.remove(i);
self.unify_impl(expected, *t, false).map_err(|_| {
self.restore_snapshot();
TypeError::new(TypeErrorKind::IncorrectArgType { name, expected, got: *t }, *loc)
})?;
}
if !required.is_empty() {
self.restore_snapshot();
return Err(TypeError::new(
TypeErrorKind::UnknownArgName(param_name),
*loc,
));
};
if param_info.has_been_supplied {
// NOTE: Duplicate keyword argument (i.e., `hello(1, 2, 3, arg = 4, arg = 5)`)
// is IMPOSSIBLE as the parser would have already failed.
// We only have to care about "got multiple values for XYZ"
self.restore_snapshot();
return Err(TypeError::new(
TypeErrorKind::GotMultipleValues { name: param_name },
TypeErrorKind::MissingArgs(required.iter().join(", ")),
*loc,
));
}
param_info.has_been_supplied = true;
// Typecheck
type_check_arg(param_name, param_info.param.ty, arg_ty)?;
}
// After checking posargs and kwargs, check if there are any
// unsupplied required parameters, and throw an error if they exist.
let missing_arg_names = param_info_by_name
.values()
.filter(|param_info| {
param_info.param.is_required() && !param_info.has_been_supplied
})
.map(|param_info| param_info.param.name)
.collect_vec();
if !missing_arg_names.is_empty() {
self.restore_snapshot();
return Err(TypeError::new(
TypeErrorKind::MissingArgs { missing_arg_names },
*loc,
));
}
// Finally, check the Call's return type
self.unify_impl(*ret, signature.ret, false).map_err(|mut err| {
self.restore_snapshot();
if err.loc.is_none() {
@ -825,10 +624,7 @@ impl Unifier {
}
err
})?;
}
}
*fun.borrow_mut() = Some(b);
*fun.borrow_mut() = Some(instantiated);
self.discard_snapshot(snapshot);
Ok(())
@ -989,6 +785,22 @@ impl Unifier {
self.unify_impl(x, b, false)?;
self.set_a_to_b(a, x);
}
(TVar { fields: Some(fields), range, is_const_generic: false, .. }, TList { ty }) => {
for (k, v) in fields {
match *k {
RecordKey::Int(_) => {
self.unify_impl(v.ty, *ty, false).map_err(|e| e.at(v.loc))?;
}
RecordKey::Str(_) => {
return Err(TypeError::new(TypeErrorKind::NoSuchField(*k, b), v.loc))
}
}
}
let x = self.check_var_compatibility(b, range)?.unwrap_or(b);
self.unify_impl(x, b, false)?;
self.set_a_to_b(a, x);
}
(
TVar { id: id1, range: ty1, is_const_generic: true, .. },
TVar { id: id2, range: ty2, .. },
@ -1067,7 +879,13 @@ impl Unifier {
}
self.set_a_to_b(a, b);
}
(TVar { fields: Some(map), range, .. }, TObj { obj_id, fields, params }) => {
(TList { ty: ty1 }, TList { ty: ty2 }) => {
if self.unify_impl(*ty1, *ty2, false).is_err() {
return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
}
self.set_a_to_b(a, b);
}
(TVar { fields: Some(map), range, .. }, TObj { fields, .. }) => {
for (k, field) in map {
match *k {
RecordKey::Str(s) => {
@ -1086,18 +904,10 @@ impl Unifier {
self.unify_impl(field.ty, ty, false).map_err(|v| v.at(field.loc))?;
}
RecordKey::Int(_) => {
// Allow expressions such as list[0]
if *obj_id == PrimDef::List.id() {
let ty = iter_type_vars(params).nth(0).unwrap().ty;
self.unify_impl(field.ty, ty, false)
.map_err(|e| e.at(field.loc))?;
} else {
return Err(TypeError::new(
TypeErrorKind::NoSuchField(*k, b),
field.loc,
));
}
))
}
}
}
@ -1180,10 +990,17 @@ impl Unifier {
self.unification_table.set_value(b, Rc::new(TCall(calls)));
}
(TCall(calls), TFunc(signature)) => {
let required: Vec<StrRef> = signature
.args
.iter()
.filter(|v| v.default_value.is_none())
.map(|v| v.name)
.rev()
.collect();
// we unify every calls to the function signature.
for c in calls {
let call = self.calls[c.0].clone();
self.unify_call(&call, b, signature)?;
self.unify_call(&call, b, signature, &required)?;
}
self.set_a_to_b(a, b);
}
@ -1312,6 +1129,9 @@ impl Unifier {
ty.iter().map(|v| self.internal_stringify(*v, obj_to_name, var_to_name, notes));
format!("tuple[{}]", fields.join(", "))
}
TypeEnum::TList { ty } => {
format!("list[{}]", self.internal_stringify(*ty, obj_to_name, var_to_name, notes))
}
TypeEnum::TVirtual { ty } => {
format!(
"virtual[{}]",
@ -1444,6 +1264,9 @@ impl Unifier {
None
}
}
TypeEnum::TList { ty } => {
self.subst_impl(*ty, mapping, cache).map(|t| self.add_ty(TypeEnum::TList { ty: t }))
}
TypeEnum::TVirtual { ty } => self
.subst_impl(*ty, mapping, cache)
.map(|t| self.add_ty(TypeEnum::TVirtual { ty: t })),
@ -1454,7 +1277,6 @@ impl Unifier {
// This is also used to prevent infinite substitution...
let need_subst = params.values().any(|v| {
let ty = self.unification_table.probe_value(*v);
// TODO(Derppening): #444
if let TypeEnum::TVar { id, .. } = ty.as_ref() {
mapping.contains_key(id)
} else {
@ -1611,22 +1433,8 @@ impl Unifier {
Ok(None)
}
}
// TODO(Derppening): #444
(
TObj { obj_id: id1, fields, params: params1 },
TObj { obj_id: id2, params: params2, .. },
) if *id1 == PrimDef::List.id() && *id2 == PrimDef::List.id() => {
let tv_id = iter_type_vars(params1).nth(0).unwrap().id;
let ty1 = iter_type_vars(params1).nth(0).unwrap().ty;
let ty2 = iter_type_vars(params2).nth(0).unwrap().ty;
Ok(self.get_intersection(ty1, ty2)?.map(|ty| {
self.add_ty(TObj {
obj_id: *id1,
fields: fields.clone(),
params: into_var_map([TypeVar { id: tv_id, ty }]),
})
}))
(TList { ty: ty1 }, TList { ty: ty2 }) => {
Ok(self.get_intersection(*ty1, *ty2)?.map(|ty| self.add_ty(TList { ty })))
}
(TVirtual { ty: ty1 }, TVirtual { ty: ty2 }) => {
Ok(self.get_intersection(*ty1, *ty2)?.map(|ty| self.add_ty(TVirtual { ty })))

View File

@ -32,7 +32,10 @@ impl Unifier {
ty1.len() == ty2.len()
&& ty1.iter().zip(ty2.iter()).all(|(t1, t2)| self.eq(*t1, *t2))
}
(TypeEnum::TVirtual { ty: ty1 }, TypeEnum::TVirtual { ty: ty2 }) => self.eq(*ty1, *ty2),
(TypeEnum::TList { ty: ty1 }, TypeEnum::TList { ty: ty2 })
| (TypeEnum::TVirtual { ty: ty1 }, TypeEnum::TVirtual { ty: ty2 }) => {
self.eq(*ty1, *ty2)
}
(
TypeEnum::TObj { obj_id: id1, params: params1, .. },
TypeEnum::TObj { obj_id: id2, params: params2, .. },
@ -116,15 +119,6 @@ impl TestEnvironment {
params: into_var_map([tvar]),
}),
);
let tvar = unifier.get_dummy_var();
type_mapping.insert(
"list".into(),
unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::List.id(),
fields: HashMap::new(),
params: into_var_map([tvar]),
}),
);
TestEnvironment { unifier, type_mapping }
}
@ -139,36 +133,6 @@ impl TestEnvironment {
// for testing only, so we can just panic when the input is malformed
let end = typ.find(|c| ['[', ',', ']', '='].contains(&c)).unwrap_or(typ.len());
match &typ[..end] {
"list" => {
let mut s = &typ[end..];
assert_eq!(&s[0..1], "[");
let mut ty = Vec::new();
while &s[0..1] != "]" {
let result = self.internal_parse(&s[1..], mapping);
ty.push(result.0);
s = result.1;
}
assert_eq!(ty.len(), 1);
let list_elem_tvar = if let TypeEnum::TObj { params, .. } =
&*self.unifier.get_ty_immutable(self.type_mapping["list"])
{
iter_type_vars(params).next().unwrap()
} else {
unreachable!()
};
(
self.unifier
.subst(
self.type_mapping["list"],
&into_var_map([TypeVar { id: list_elem_tvar.id, ty: ty[0] }]),
)
.unwrap(),
&s[1..],
)
}
"tuple" => {
let mut s = &typ[end..];
assert_eq!(&s[0..1], "[");
@ -180,6 +144,12 @@ impl TestEnvironment {
}
(self.unifier.add_ty(TypeEnum::TTuple { ty }), &s[1..])
}
"list" => {
assert_eq!(&typ[end..=end], "[");
let (ty, s) = self.internal_parse(&typ[end + 1..], mapping);
assert_eq!(&s[0..1], "]");
(self.unifier.add_ty(TypeEnum::TList { ty }), &s[1..])
}
"Record" => {
let mut s = &typ[end..];
assert_eq!(&s[0..1], "[");
@ -304,7 +274,7 @@ fn test_unify(
("v1", "tuple[int]"),
("v2", "list[int]"),
],
(("v1", "v2"), "Incompatible types: 11[0] and tuple[0]")
(("v1", "v2"), "Incompatible types: list[0] and tuple[0]")
; "type mismatch"
)]
#[test_case(2,
@ -328,7 +298,7 @@ fn test_unify(
("v1", "Record[a=float,b=int]"),
("v2", "Foo[v3]"),
],
(("v1", "v2"), "`3[typevar5]::b` field/method does not exist")
(("v1", "v2"), "`3[typevar4]::b` field/method does not exist")
; "record obj merge"
)]
/// Test cases for invalid unifications.
@ -418,14 +388,6 @@ fn test_typevar_range() {
let int_list = env.parse("list[int]", &HashMap::new());
let float_list = env.parse("list[float]", &HashMap::new());
let list_elem_tvar = if let TypeEnum::TObj { params, .. } =
&*env.unifier.get_ty_immutable(env.type_mapping["list"])
{
iter_type_vars(params).next().unwrap()
} else {
unreachable!()
};
// unification between v and int
// where v in (int, bool)
let v = env.unifier.get_fresh_var_with_range(&[int, boolean], None, None).ty;
@ -436,7 +398,7 @@ fn test_typevar_range() {
let v = env.unifier.get_fresh_var_with_range(&[int, boolean], None, None).ty;
assert_eq!(
env.unify(int_list, v),
Err("Expected any one of these types: 0, 2, but got 11[0]".to_string())
Err("Expected any one of these types: 0, 2, but got list[0]".to_string())
);
// unification between v and float
@ -448,11 +410,7 @@ fn test_typevar_range() {
);
let v1 = env.unifier.get_fresh_var_with_range(&[int, boolean], None, None).ty;
let v1_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: v1 }]),
});
let v1_list = env.unifier.add_ty(TypeEnum::TList { ty: v1 });
let v = env.unifier.get_fresh_var_with_range(&[int, v1_list], None, None).ty;
// unification between v and int
// where v in (int, list[v1]), v1 in (int, bool)
@ -466,10 +424,9 @@ fn test_typevar_range() {
let v = env.unifier.get_fresh_var_with_range(&[int, v1_list], None, None).ty;
// unification between v and list[float]
// where v in (int, list[v1]), v1 in (int, bool)
println!("float_list: {}, v: {}", env.unifier.stringify(float_list), env.unifier.stringify(v));
assert_eq!(
env.unify(float_list, v),
Err("Expected any one of these types: 0, 11[typevar6], but got 11[1]\n\nNotes:\n typevar6 ∈ {0, 2}".to_string())
Err("Expected any one of these types: 0, list[typevar5], but got list[1]\n\nNotes:\n typevar5 ∈ {0, 2}".to_string())
);
let a = env.unifier.get_fresh_var_with_range(&[int, float], None, None).ty;
@ -484,66 +441,34 @@ fn test_typevar_range() {
let a = env.unifier.get_fresh_var_with_range(&[int, float], None, None).ty;
let b = env.unifier.get_fresh_var_with_range(&[boolean, float], None, None).ty;
let a_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: a }]),
});
let a_list = env.unifier.add_ty(TypeEnum::TList { ty: a });
let a_list = env.unifier.get_fresh_var_with_range(&[a_list], None, None).ty;
let b_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: b }]),
});
let b_list = env.unifier.add_ty(TypeEnum::TList { ty: b });
let b_list = env.unifier.get_fresh_var_with_range(&[b_list], None, None).ty;
env.unifier.unify(a_list, b_list).unwrap();
let float_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: float }]),
});
let float_list = env.unifier.add_ty(TypeEnum::TList { ty: float });
env.unifier.unify(a_list, float_list).unwrap();
// previous unifications should not affect a and b
env.unifier.unify(a, int).unwrap();
let a = env.unifier.get_fresh_var_with_range(&[int, float], None, None).ty;
let b = env.unifier.get_fresh_var_with_range(&[boolean, float], None, None).ty;
let a_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: a }]),
});
let b_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: b }]),
});
let a_list = env.unifier.add_ty(TypeEnum::TList { ty: a });
let b_list = env.unifier.add_ty(TypeEnum::TList { ty: b });
env.unifier.unify(a_list, b_list).unwrap();
let int_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: int }]),
});
let int_list = env.unifier.add_ty(TypeEnum::TList { ty: int });
assert_eq!(
env.unify(a_list, int_list),
Err("Incompatible types: 11[typevar23] and 11[0]\
\n\nNotes:\n typevar23 {1}"
Err("Incompatible types: list[typevar22] and list[0]\
\n\nNotes:\n typevar22 {1}"
.into())
);
let a = env.unifier.get_fresh_var_with_range(&[int, float], None, None).ty;
let b = env.unifier.get_dummy_var().ty;
let a_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: a }]),
});
let a_list = env.unifier.add_ty(TypeEnum::TList { ty: a });
let a_list = env.unifier.get_fresh_var_with_range(&[a_list], None, None).ty;
let b_list = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: b }]),
});
let b_list = env.unifier.add_ty(TypeEnum::TList { ty: b });
env.unifier.unify(a_list, b_list).unwrap();
assert_eq!(
env.unify(b, boolean),
@ -557,25 +482,16 @@ fn test_rigid_var() {
let a = env.unifier.get_fresh_rigid_var(None, None).ty;
let b = env.unifier.get_fresh_rigid_var(None, None).ty;
let x = env.unifier.get_dummy_var().ty;
let list_elem_tvar = env.unifier.get_fresh_var(Some("list_elem".into()), None);
let list_a = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: a }]),
});
let list_x = env.unifier.add_ty(TypeEnum::TObj {
obj_id: env.type_mapping["list"].obj_id(&env.unifier).unwrap(),
fields: Mapping::default(),
params: into_var_map([TypeVar { id: list_elem_tvar.id, ty: x }]),
});
let list_a = env.unifier.add_ty(TypeEnum::TList { ty: a });
let list_x = env.unifier.add_ty(TypeEnum::TList { ty: x });
let int = env.parse("int", &HashMap::new());
let list_int = env.parse("list[int]", &HashMap::new());
assert_eq!(env.unify(a, b), Err("Incompatible types: typevar4 and typevar3".to_string()));
assert_eq!(env.unify(a, b), Err("Incompatible types: typevar3 and typevar2".to_string()));
env.unifier.unify(list_a, list_x).unwrap();
assert_eq!(
env.unify(list_x, list_int),
Err("Incompatible types: 11[typevar3] and 11[0]".to_string())
Err("Incompatible types: list[typevar2] and list[0]".to_string())
);
env.unifier.replace_rigid_var(a, int);
@ -590,21 +506,10 @@ fn test_instantiation() {
let float = env.parse("float", &HashMap::new());
let list_int = env.parse("list[int]", &HashMap::new());
let list_elem_tvar = if let TypeEnum::TObj { params, .. } =
&*env.unifier.get_ty_immutable(env.type_mapping["list"])
{
iter_type_vars(params).next().unwrap()
} else {
unreachable!()
};
let obj_map: HashMap<_, _> = [(0usize, "int"), (1, "float"), (2, "bool"), (11, "list")].into();
let obj_map: HashMap<_, _> = [(0usize, "int"), (1, "float"), (2, "bool")].into();
let v = env.unifier.get_fresh_var_with_range(&[int, boolean], None, None).ty;
let list_v = env
.unifier
.subst(env.type_mapping["list"], &into_var_map([TypeVar { id: list_elem_tvar.id, ty: v }]))
.unwrap();
let list_v = env.unifier.add_ty(TypeEnum::TList { ty: v });
let v1 = env.unifier.get_fresh_var_with_range(&[list_v, int], None, None).ty;
let v2 = env.unifier.get_fresh_var_with_range(&[list_int, float], None, None).ty;
let t = env.unifier.get_dummy_var().ty;
@ -631,7 +536,7 @@ fn test_instantiation() {
tuple[int, list[bool], list[int]]
tuple[int, list[int], float]
tuple[int, list[int], list[int]]
v6"
v5"
}
.split('\n')
.collect_vec();

View File

@ -44,15 +44,6 @@ void output_float64(double x) {
}
}
void output_range(int32_t range[3]) {
printf("range(");
printf("%d, %d", range[0], range[1]);
if (range[2] != 1) {
printf(", %d", range[2]);
}
puts(")");
}
void output_asciiart(int32_t x) {
static const char *chars = " .,-:;i+hHM$*#@ ";
if (x < 0) {
@ -88,10 +79,6 @@ void output_str(struct cslice *slice) {
for (usize i = 0; i < slice->len; ++i) {
putchar(data[i]);
}
}
void output_strln(struct cslice *slice) {
output_str(slice);
putchar('\n');
}

View File

@ -107,9 +107,6 @@ def patch(module):
def output_float(x):
print("%f" % x)
def output_strln(x):
print(x, end='')
def dbg_stack_address(_):
return 0
@ -123,8 +120,6 @@ def patch(module):
return output_asciiart
elif name == "output_float64":
return output_float
elif name == "output_str":
return output_strln
elif name in {
"output_bool",
"output_int32",
@ -132,8 +127,7 @@ def patch(module):
"output_int32_list",
"output_uint32",
"output_uint64",
"output_strln",
"output_range",
"output_str",
}:
return print
elif name == "dbg_stack_address":
@ -232,6 +226,8 @@ def patch(module):
module.np_full = np.full
module.np_eye = np.eye
module.np_identity = np.identity
module.np_any = np.any
module.np_all = np.all
def file_import(filename, prefix="file_import_"):
filename = pathlib.Path(filename)

View File

@ -7,7 +7,7 @@ def output_int64(x: int64):
...
@extern
def output_strln(x: str):
def output_str(x: str):
...
@ -33,7 +33,7 @@ class A:
class Initless:
def foo(self):
output_strln("hello")
output_str("hello")
def run() -> int32:
a = A(10)

View File

@ -22,10 +22,6 @@ def output_uint64(x: uint64):
def output_float64(x: float):
...
@extern
def output_range(x: range):
...
@extern
def output_int32_list(x: list[int32]):
...
@ -38,10 +34,6 @@ def output_asciiart(x: int32):
def output_str(x: str):
...
@extern
def output_strln(x: str):
...
def test_output_bool():
output_bool(True)
output_bool(False)
@ -67,15 +59,6 @@ def test_output_float64():
output_float64(16.25)
output_float64(-16.25)
def test_output_range():
r = range(1, 100, 5)
output_int32(r.start)
output_int32(r.stop)
output_int32(r.step)
output_range(range(10))
output_range(range(1, 10))
output_range(range(1, 10, 2))
def test_output_asciiart():
for i in range(17):
output_asciiart(i)
@ -85,8 +68,7 @@ def test_output_int32_list():
output_int32_list([0, 1, 3, 5, 10])
def test_output_str_family():
output_str("hello")
output_strln(" world")
output_str("hello world")
def run() -> int32:
test_output_bool()
@ -95,7 +77,6 @@ def run() -> int32:
test_output_uint32()
test_output_uint64()
test_output_float64()
test_output_range()
test_output_asciiart()
test_output_int32_list()
test_output_str_family()

View File

@ -1,7 +1,3 @@
@extern
def output_bool(x: bool):
...
@extern
def output_int32_list(x: list[int32]):
...
@ -34,32 +30,6 @@ def run() -> int32:
get_list_slice()
list_slice_assignment()
output_int32_list([1, 2, 3] + [4, 5, 6])
output_int32_list([1, 2, 3] * 3)
output_bool([] == [])
output_bool([0] == [])
output_bool([0] == [0])
output_bool([0, 1] == [0])
output_bool([0, 1] == [0, 1])
output_bool([] != [])
output_bool([0] != [])
output_bool([0] != [0])
output_bool([0] != [0, 1])
output_bool([0, 1] != [0, 1])
output_bool([] == [] == [])
output_bool([0] == [0] == [0])
output_bool([0, 1] == [0] == [0, 1])
output_bool([0, 1] == [0, 1] == [0])
output_bool([0] == [0, 1] == [0, 1])
output_bool([0, 1] == [0, 1] == [0, 1])
output_bool([] != [] != [])
output_bool([0] != [0] != [0])
output_bool([0, 1] != [0] != [0, 1])
output_bool([0, 1] != [0, 1] != [0])
output_bool([0] != [0, 1] != [0, 1])
output_bool([0, 1] != [0, 1] != [0, 1])
return 0
def get_list_slice():

View File

@ -23,12 +23,11 @@ def run() -> int32:
output_int32(x)
output_str(" * ")
output_float64(n / x)
output_str("\n")
except: # Assume this is intended to catch x == 0
break
else:
# loop fell through without finding a factor
output_int32(n)
output_str(" is a prime number\n")
output_str(" is a prime number")
return 0

View File

@ -37,7 +37,7 @@ def test_round64():
output_int64(round64(x))
def test_np_round():
for x in [-1.5, -0.5, 0.5, 1.5, dbl_inf(), -dbl_inf(), dbl_nan(), 0.0, -0.0, 1.6, 1.4, -1.4, -1.6]:
for x in [-1.5, -0.5, 0.5, 1.5, dbl_inf(), -dbl_inf(), dbl_nan()]:
output_float64(np_round(x))
def test_np_isnan():

View File

@ -71,44 +71,17 @@ def output_ndarray_float_2(n: ndarray[float, Literal[2]]):
def consume_ndarray_1(n: ndarray[float, Literal[1]]):
pass
def consume_ndarray_2(n: ndarray[float, Literal[2]]):
pass
def test_ndarray_ctor():
n: ndarray[float, Literal[1]] = np_ndarray([1])
consume_ndarray_1(n)
def test_ndarray_empty():
n1: ndarray[float, 1] = np_empty([1])
consume_ndarray_1(n1)
n2: ndarray[float, 1] = np_empty(10)
consume_ndarray_1(n2)
n3: ndarray[float, 1] = np_empty((2,))
consume_ndarray_1(n3)
n4: ndarray[float, 2] = np_empty((4, 4))
consume_ndarray_2(n4)
dim4 = (5, 2)
n5: ndarray[float, 2] = np_empty(dim4)
consume_ndarray_2(n5)
n: ndarray[float, 1] = np_empty([1])
consume_ndarray_1(n)
def test_ndarray_zeros():
n1: ndarray[float, 1] = np_zeros([1])
output_ndarray_float_1(n1)
k = 3 + int32(n1[0]) # to test variable shape inputs
n2: ndarray[float, 1] = np_zeros(k * k)
output_ndarray_float_1(n2)
n3: ndarray[float, 1] = np_zeros((k * 2,))
output_ndarray_float_1(n3)
dim4 = (3, 2 * k)
n4: ndarray[float, 2] = np_zeros(dim4)
output_ndarray_float_2(n4)
n: ndarray[float, 1] = np_zeros([1])
output_ndarray_float_1(n)
def test_ndarray_ones():
n: ndarray[float, 1] = np_ones([1])
@ -1415,6 +1388,48 @@ def test_ndarray_nextafter_broadcast_rhs_scalar():
output_ndarray_float_2(nextafter_x_zeros)
output_ndarray_float_2(nextafter_x_ones)
def test_ndarray_any():
x1 = np_identity(5)
y1 = np_any(x1)
output_ndarray_float_2(x1)
output_bool(y1)
x2 = np_identity(1)
y2 = np_any(x2)
output_ndarray_float_2(x2)
output_bool(y2)
x3 = np_array([[1.0, 2.0], [3.0, 4.0]])
y3 = np_any(x3)
output_ndarray_float_2(x3)
output_bool(y3)
x4 = np_zeros([3, 5])
y4 = np_any(x4)
output_ndarray_float_2(x4)
output_bool(y4)
def test_ndarray_all():
x1 = np_identity(5)
y1 = np_all(x1)
output_ndarray_float_2(x1)
output_bool(y1)
x2 = np_identity(1)
y2 = np_all(x2)
output_ndarray_float_2(x2)
output_bool(y2)
x3 = np_array([[1.0, 2.0], [3.0, 4.0]])
y3 = np_all(x3)
output_ndarray_float_2(x3)
output_bool(y3)
x4 = np_zeros([3, 5])
y4 = np_all(x4)
output_ndarray_float_2(x4)
output_bool(y4)
def run() -> int32:
test_ndarray_ctor()
test_ndarray_empty()
@ -1592,4 +1607,7 @@ def run() -> int32:
test_ndarray_nextafter_broadcast_lhs_scalar()
test_ndarray_nextafter_broadcast_rhs_scalar()
test_ndarray_any()
test_ndarray_all()
return 0

View File

@ -340,19 +340,7 @@ fn main() {
let signature = store.from_signature(&mut composer.unifier, &primitive, &signature, &mut cache);
let signature = store.add_cty(signature);
if let Err(errors) = composer.start_analysis(true) {
let error_count = errors.len();
eprintln!("{error_count} error(s) occurred during top level analysis.");
for (error_i, error) in errors.iter().enumerate() {
let error_num = error_i + 1;
eprintln!("=========== ERROR {error_num}/{error_count} ============");
eprintln!("{error}");
}
eprintln!("==================================");
panic!("top level analysis failed");
}
composer.start_analysis(true).unwrap();
let top_level = Arc::new(composer.make_top_level_context());

View File

@ -81,7 +81,6 @@ in rec {
''
mkdir -p $out/bin
ln -s ${llvm-nac3}/bin/clang.exe $out/bin/clang-irrt.exe
ln -s ${llvm-nac3}/bin/clang.exe $out/bin/clang-irrt-test.exe
ln -s ${llvm-nac3}/bin/llvm-as.exe $out/bin/llvm-as-irrt.exe
'';
nac3artiq = pkgs.rustPlatform.buildRustPackage {

View File

@ -1,15 +1,15 @@
{ pkgs } : [
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-libunwind-18.1.8-1-any.pkg.tar.zst";
sha256 = "1v8zkfcbf1ga2ndpd1j0dwv5s1rassxs2b5pjhcsmqwjcvczba1m";
name = "mingw-w64-clang-x86_64-libunwind-18.1.8-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-libunwind-18.1.2-1-any.pkg.tar.zst";
sha256 = "0ksz7xz1lbwsmdr9sa1444k0dlfkbd8k11pq7w08ir7r1wjy6fid";
name = "mingw-w64-clang-x86_64-libunwind-18.1.2-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-libc++-18.1.8-1-any.pkg.tar.zst";
sha256 = "0mfd8wrmgx12j5gf354j7pk1l3lg9ykxvq75xdk3jipsr6hbn846";
name = "mingw-w64-clang-x86_64-libc++-18.1.8-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-libc++-18.1.2-1-any.pkg.tar.zst";
sha256 = "0r8skyjqv4cpkqif0niakx4hdpkscil1zf6mzj34pqna0j5gdnq2";
name = "mingw-w64-clang-x86_64-libc++-18.1.2-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
@ -31,9 +31,9 @@
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-xz-5.6.2-2-any.pkg.tar.zst";
sha256 = "0phb9hwqksk1rg29yhwlc7si78zav19c2kac0i841pc7mc2n9gzx";
name = "mingw-w64-clang-x86_64-xz-5.6.2-2-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-xz-5.6.1-1-any.pkg.tar.zst";
sha256 = "14p4xxaxjjy6j1ingji82xhai1mc1gls5ali6z40fbb2ylxkaggs";
name = "mingw-w64-clang-x86_64-xz-5.6.1-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
@ -43,81 +43,81 @@
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-libxml2-2.12.8-1-any.pkg.tar.zst";
sha256 = "1imipb0dz4w6x4n9arn22imyzzcwdlf2cqxvn7irqq7w9by6fy0b";
name = "mingw-w64-clang-x86_64-libxml2-2.12.8-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-libxml2-2.12.6-1-any.pkg.tar.zst";
sha256 = "177b3rmsknqq6hf0zqwva71s3avh20ca7vzznp2ls2z5qm8vhhlp";
name = "mingw-w64-clang-x86_64-libxml2-2.12.6-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-zstd-1.5.6-2-any.pkg.tar.zst";
sha256 = "02cp5ci8w50k7xn38mpkwnr8sn898v18wcc07y8f9sfla7vcyfix";
name = "mingw-w64-clang-x86_64-zstd-1.5.6-2-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-zstd-1.5.5-1-any.pkg.tar.zst";
sha256 = "07739wmwgxf0d6db4p8w302a6jwcm01aafr1s8jvcl5k1h5a1m2m";
name = "mingw-w64-clang-x86_64-zstd-1.5.5-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-libs-18.1.8-1-any.pkg.tar.zst";
sha256 = "0rpbgvvinsqflhd3nhfxk0g0yy8j80zzw5yx6573ak0m78a9fa06";
name = "mingw-w64-clang-x86_64-llvm-libs-18.1.8-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-libs-18.1.2-1-any.pkg.tar.zst";
sha256 = "0ibiy01v16naik9pj32ch7a9pkbw4yrn3gyq7p0y6kcc63fkjazy";
name = "mingw-w64-clang-x86_64-llvm-libs-18.1.2-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-18.1.8-1-any.pkg.tar.zst";
sha256 = "185g5h8q3x3rav9lp2njln58ny2idh2067fd02j3nsbik6glshpf";
name = "mingw-w64-clang-x86_64-llvm-18.1.8-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-18.1.2-1-any.pkg.tar.zst";
sha256 = "1hcfz6nb6svmmcqzfrdi96az2x7mzj0cispdv2ssbgn7nkf19pi0";
name = "mingw-w64-clang-x86_64-llvm-18.1.2-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-clang-libs-18.1.8-1-any.pkg.tar.zst";
sha256 = "089hji3yd7wsd03v9mdfgc99l5k1dql8kg7p3hy13vrbgfsabxhc";
name = "mingw-w64-clang-x86_64-clang-libs-18.1.8-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-clang-libs-18.1.2-1-any.pkg.tar.zst";
sha256 = "1k17d18g7rmq2ph4kq1mf84vs8133jzf52nkv6syh39ypjga67wa";
name = "mingw-w64-clang-x86_64-clang-libs-18.1.2-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-compiler-rt-18.1.8-1-any.pkg.tar.zst";
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