forked from M-Labs/nac3
Compare commits
2 Commits
ndarray-st
...
numpy-anya
| Author | SHA1 | Date |
|---|---|---|
 lyken
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b1e97aa2b0 | |
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lyken
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42c5f906fb |
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@ -105,9 +105,9 @@ checksum = "349f9b6a179ed607305526ca489b34ad0a41aed5f7980fa90eb03160b69598fb"
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@ -129,9 +129,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
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@ -151,14 +151,14 @@ dependencies = [
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@ -270,9 +270,9 @@ dependencies = [
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@ -421,7 +421,7 @@ checksum = "4fa4d8d74483041a882adaa9a29f633253a66dde85055f0495c121620ac484b2"
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@ -501,9 +501,9 @@ dependencies = [
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||||
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@ -568,9 +568,9 @@ dependencies = [
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@ -749,7 +749,7 @@ dependencies = [
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@ -796,9 +796,9 @@ checksum = "925383efa346730478fb4838dbe9137d2a47675ad789c546d150a6e1dd4ab31c"
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@ -850,7 +850,7 @@ dependencies = [
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|||
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@ -863,7 +863,7 @@ dependencies = [
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@ -1029,29 +1029,29 @@ checksum = "61697e0a1c7e512e84a621326239844a24d8207b4669b41bc18b32ea5cbf988b"
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@ -1120,9 +1120,9 @@ checksum = "7da8b5736845d9f2fcb837ea5d9e2628564b3b043a70948a3f0b778838c5fb4f"
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@ -1134,7 +1134,7 @@ dependencies = [
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@ -1150,9 +1150,9 @@ dependencies = [
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@ -1161,9 +1161,9 @@ dependencies = [
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@ -1218,7 +1218,7 @@ checksum = "46c3384250002a6d5af4d114f2845d37b57521033f30d5c3f46c4d70e1197533"
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@ -1398,9 +1398,9 @@ dependencies = [
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@ -1471,20 +1471,20 @@ dependencies = [
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|
||||
checksum = "15e934569e47891f7d9411f1a451d947a60e000ab3bd24fbb970f000387d1b3b"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.70",
|
||||
"syn 2.0.66",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -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": {
|
||||
|
|
|
|||
|
|
@ -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";
|
||||
|
|
|
|||
|
|
@ -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()
|
||||
|
|
@ -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)?;
|
||||
|
|
|
|||
|
|
@ -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 {}",
|
||||
|
|
@ -652,15 +627,12 @@ 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())
|
||||
{
|
||||
if object_id == def_id
|
||||
&& constructor.is_some()
|
||||
&& methods.iter().any(|(s, _, _)| s == &"__init__".into())
|
||||
{
|
||||
return *constructor;
|
||||
}
|
||||
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);
|
||||
|
|
|
|||
|
|
@ -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"
|
||||
|
|
|
|||
|
|
@ -1,6 +1,3 @@
|
|||
[features]
|
||||
test = []
|
||||
|
||||
[package]
|
||||
name = "nac3core"
|
||||
version = "0.1.0"
|
||||
|
|
|
|||
|
|
@ -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);
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,5 +0,0 @@
|
|||
#include "irrt_everything.hpp"
|
||||
|
||||
/*
|
||||
This file will be read by `clang-irrt` to conveniently produce LLVM IR for `nac3core/codegen`.
|
||||
*/
|
||||
|
|
@ -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);
|
||||
}
|
||||
}
|
||||
|
|
@ -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);
|
||||
}
|
||||
}
|
||||
|
|
@ -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.
|
||||
*/
|
||||
|
|
@ -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);
|
||||
// }
|
||||
}
|
||||
|
|
@ -1,80 +0,0 @@
|
|||
#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;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
|
@ -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;
|
||||
}
|
||||
|
|
@ -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;
|
||||
|
|
@ -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
|
|
@ -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()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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
|
|
@ -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>)*,
|
||||
name: Option<&str>,
|
||||
) -> FloatValue<'ctx> {
|
||||
const FN_NAME: &str = $extern_fn;
|
||||
/// 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 = "tan";
|
||||
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
$(debug_assert_eq!($args.get_type(), llvm_f64);)*
|
||||
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(&[$($args.get_type().into()),*], false);
|
||||
let func = ctx.module.add_function(FN_NAME, fn_type, None);
|
||||
for attr in [$($attributes),*] {
|
||||
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())
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
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()
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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];
|
||||
}
|
||||
}
|
||||
|
|
@ -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()
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -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)
|
||||
});
|
||||
let intrinsic_fn = Intrinsic::find(FN_NAME)
|
||||
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_p0i8.into()]))
|
||||
.unwrap();
|
||||
|
||||
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()
|
||||
}};
|
||||
}
|
||||
|
||||
/// 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>(
|
||||
/// Invokes the [`llvm.sqrt`](https://llvm.org/docs/LangRef.html#llvm-sqrt-intrinsic) intrinsic.
|
||||
pub fn call_float_sqrt<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src: IntValue<'ctx>,
|
||||
is_int_min_poison: IntValue<'ctx>,
|
||||
val: FloatValue<'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());
|
||||
) -> FloatValue<'ctx> {
|
||||
const FN_NAME: &str = "llvm.sqrt";
|
||||
|
||||
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
|
||||
)
|
||||
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()
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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
|
|
@ -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)?,
|
||||
|
|
|
|||
|
|
@ -23,4 +23,3 @@ pub mod codegen;
|
|||
pub mod symbol_resolver;
|
||||
pub mod toplevel;
|
||||
pub mod typecheck;
|
||||
pub mod util;
|
||||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -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() },
|
||||
|
|
@ -279,10 +280,19 @@ pub fn get_builtins(unifier: &mut Unifier, primitives: &PrimitiveStore) -> Built
|
|||
.collect()
|
||||
}
|
||||
|
||||
fn size_variant_to_int_type(variant: SizeVariant, primitives: &PrimitiveStore) -> Type {
|
||||
match variant {
|
||||
SizeVariant::Bits32 => primitives.int32,
|
||||
SizeVariant::Bits64 => primitives.int64,
|
||||
/// 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,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -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())
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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();
|
||||
|
|
@ -1296,74 +1285,34 @@ 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, .. }
|
||||
if matches!(
|
||||
&value.node,
|
||||
ast::ExprKind::Name { id, .. } if id == &core_config.kernel_invariant_ann.into()
|
||||
) =>
|
||||
{
|
||||
(slice, false)
|
||||
}
|
||||
ast::ExprKind::Subscript { value, slice, .. }
|
||||
if matches!(
|
||||
&value.node,
|
||||
ast::ExprKind::Name { id, .. } if core_config.kernel_ann.map_or(false, |c| id == &c.into())
|
||||
) =>
|
||||
{
|
||||
(slice, true)
|
||||
}
|
||||
_ if core_config.kernel_ann.is_none() => (annotation, true),
|
||||
_ => continue, // ignore fields annotated otherwise
|
||||
};
|
||||
class_fields_def.push((*attr, dummy_field_type, mutable));
|
||||
annotation
|
||||
// handle Kernel[T], KernelInvariant[T]
|
||||
let (annotation, mutable) = match &annotation.node {
|
||||
ast::ExprKind::Subscript { value, slice, .. }
|
||||
if matches!(
|
||||
&value.node,
|
||||
ast::ExprKind::Name { id, .. } if id == &core_config.kernel_invariant_ann.into()
|
||||
) =>
|
||||
{
|
||||
(slice, false)
|
||||
}
|
||||
// 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
|
||||
ast::ExprKind::Subscript { value, slice, .. }
|
||||
if matches!(
|
||||
&value.node,
|
||||
ast::ExprKind::Name { id, .. } if core_config.kernel_ann.map_or(false, |c| id == &c.into())
|
||||
) =>
|
||||
{
|
||||
(slice, true)
|
||||
}
|
||||
_ if core_config.kernel_ann.is_none() => (annotation, true),
|
||||
_ => continue, // ignore fields annotated otherwise
|
||||
};
|
||||
class_fields_def.push((*attr, dummy_field_type, mutable));
|
||||
|
||||
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(())
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -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,
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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.
|
||||
|
|
|
|||
|
|
@ -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",
|
||||
|
|
|
|||
|
|
@ -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",
|
||||
|
|
|
|||
|
|
@ -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",
|
||||
|
|
|
|||
|
|
@ -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",
|
||||
|
|
|
|||
|
|
@ -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",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -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 {
|
||||
|
|
|
|||
|
|
@ -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)
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -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!(
|
||||
|
|
|
|||
|
|
@ -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);
|
||||
|
|
|
|||
|
|
@ -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,
|
||||
|
|
|
|||
|
|
@ -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);
|
||||
}
|
||||
None
|
||||
})
|
||||
} else {
|
||||
None
|
||||
}
|
||||
};
|
||||
match result {
|
||||
Some(res) if !mutable => Ok(res),
|
||||
Some(_) => report_error(
|
||||
&format!("Class Attribute `{attr}` is immutable"),
|
||||
value.location,
|
||||
),
|
||||
None => report_type_error(
|
||||
TypeErrorKind::NoSuchField(RecordKey::Str(attr), ty),
|
||||
Some(value.location),
|
||||
self.unifier,
|
||||
),
|
||||
}
|
||||
(Some((_, false)), true) => {
|
||||
report_error(&format!("Field `{attr}` is immutable"), value.location)
|
||||
}
|
||||
}
|
||||
} 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, _) => {
|
||||
let t = self.unifier.stringify(ty);
|
||||
report_error(
|
||||
&format!("`{t}::{attr}` field/method does not exist"),
|
||||
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 => {
|
||||
// The type of augmented assignment operator should never change
|
||||
Some(left_ty)
|
||||
}
|
||||
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!(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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,
|
||||
};
|
||||
|
|
@ -280,35 +273,15 @@ 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",
|
||||
]
|
||||
.iter()
|
||||
.enumerate()
|
||||
for (i, name) in ["int32", "int64", "float", "bool", "none", "range", "str", "Exception"]
|
||||
.iter()
|
||||
.enumerate()
|
||||
{
|
||||
top_level_defs.push(
|
||||
RwLock::new(TopLevelDef::Class {
|
||||
|
|
@ -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(),
|
||||
|
|
|
|||
|
|
@ -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))
|
||||
|
|
@ -606,229 +562,69 @@ 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;
|
||||
|
||||
self.restore_snapshot();
|
||||
return Err(TypeError::new(
|
||||
TypeErrorKind::TooManyArguments {
|
||||
expected_min_count,
|
||||
expected_max_count,
|
||||
got_count: num_args,
|
||||
},
|
||||
*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(¶m.name).unwrap();
|
||||
param_info.has_been_supplied = true;
|
||||
|
||||
// Typecheck
|
||||
type_check_arg(param.name, param.ty, arg_ty)?;
|
||||
}
|
||||
|
||||
// Now consume all keyword arguments and typecheck them.
|
||||
for (¶m_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(¶m_name) else {
|
||||
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 },
|
||||
*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() {
|
||||
err.loc = *loc;
|
||||
}
|
||||
err
|
||||
})?;
|
||||
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: signature.args.len(),
|
||||
got: posargs.len() + kwargs.len(),
|
||||
},
|
||||
*loc,
|
||||
));
|
||||
}
|
||||
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)
|
||||
})?;
|
||||
}
|
||||
|
||||
*fun.borrow_mut() = Some(b);
|
||||
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::MissingArgs(required.iter().join(", ")),
|
||||
*loc,
|
||||
));
|
||||
}
|
||||
self.unify_impl(*ret, signature.ret, false).map_err(|mut err| {
|
||||
self.restore_snapshot();
|
||||
if err.loc.is_none() {
|
||||
err.loc = *loc;
|
||||
}
|
||||
err
|
||||
})?;
|
||||
*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,
|
||||
));
|
||||
}
|
||||
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 })))
|
||||
|
|
|
|||
|
|
@ -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();
|
||||
|
|
|
|||
|
|
@ -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');
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -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)
|
||||
|
|
|
|||
|
|
@ -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)
|
||||
|
|
|
|||
|
|
@ -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()
|
||||
|
|
|
|||
|
|
@ -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():
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
|
@ -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():
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -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());
|
||||
|
||||
|
|
|
|||
|
|
@ -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 {
|
||||
|
|
|
|||
|
|
@ -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";
|
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|
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|
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(pkgs.fetchurl {
|
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|
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@ -127,9 +127,9 @@
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(pkgs.fetchurl {
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|
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(pkgs.fetchurl {
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|
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@ -151,9 +151,9 @@
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|
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(pkgs.fetchurl {
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(pkgs.fetchurl {
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@ -163,9 +163,9 @@
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(pkgs.fetchurl {
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(pkgs.fetchurl {
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@ -175,33 +175,27 @@
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|
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(pkgs.fetchurl {
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|
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@ -247,9 +241,9 @@
|
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|
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|
||||
(pkgs.fetchurl {
|
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|
|
@ -259,9 +253,9 @@
|
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|
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|
||||
(pkgs.fetchurl {
|
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|
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|
||||
(pkgs.fetchurl {
|
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|
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@ -271,9 +265,9 @@
|
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|
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|
||||
(pkgs.fetchurl {
|
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|
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(pkgs.fetchurl {
|
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|
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@ -307,15 +301,15 @@
|
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|
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|
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(pkgs.fetchurl {
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-sqlite3-3.46.0-1-any.pkg.tar.zst";
|
||||
sha256 = "0q676i2z5nr4c71jnd4z5qz9xa1xryl0cpi84w74yvd0p4qiz7y2";
|
||||
name = "mingw-w64-clang-x86_64-sqlite3-3.46.0-1-any.pkg.tar.zst";
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-sqlite3-3.45.2-1-any.pkg.tar.zst";
|
||||
sha256 = "1icvw3f08cgi94p0177i46v72wgpsxw95p6kd0sm2w3vj0qlqbcw";
|
||||
name = "mingw-w64-clang-x86_64-sqlite3-3.45.2-1-any.pkg.tar.zst";
|
||||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-tk-8.6.13-1-any.pkg.tar.zst";
|
||||
sha256 = "12f6lqx1sglczcnz2ns6sxw9cxwm1klxajqzcrbnfwln1nllz2nd";
|
||||
name = "mingw-w64-clang-x86_64-tk-8.6.13-1-any.pkg.tar.zst";
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-tk-8.6.12-2-any.pkg.tar.zst";
|
||||
sha256 = "0pi74q91vl6vw8vvmmwnvrgai3b1aanp0zhca5qsmv8ljh2wdgzx";
|
||||
name = "mingw-w64-clang-x86_64-tk-8.6.12-2-any.pkg.tar.zst";
|
||||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
|
|
@ -325,21 +319,21 @@
|
|||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-python-3.11.9-1-any.pkg.tar.zst";
|
||||
sha256 = "0ah1idjqxg7jc07a1gz9z766rjjd0f0c6ri4hpcsimsrbj1zjd3c";
|
||||
name = "mingw-w64-clang-x86_64-python-3.11.9-1-any.pkg.tar.zst";
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-python-3.11.8-1-any.pkg.tar.zst";
|
||||
sha256 = "0djpf4k8s25nys6nrm2x2v134lcgzhhbjs37ihkg0b3sxmmc3b0p";
|
||||
name = "mingw-w64-clang-x86_64-python-3.11.8-1-any.pkg.tar.zst";
|
||||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-openmp-18.1.8-1-any.pkg.tar.zst";
|
||||
sha256 = "0cy2v0l4af24j34mzj5q5nlzcqhackfajlfj1rpf6mb3rbz23qw9";
|
||||
name = "mingw-w64-clang-x86_64-llvm-openmp-18.1.8-1-any.pkg.tar.zst";
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-openmp-18.1.2-1-any.pkg.tar.zst";
|
||||
sha256 = "1v9wm3ja3a7a7yna2bpqky481qf244wc98kfdl7l03k7rkvvydpl";
|
||||
name = "mingw-w64-clang-x86_64-openmp-18.1.2-1-any.pkg.tar.zst";
|
||||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-openblas-0.3.27-1-any.pkg.tar.zst";
|
||||
sha256 = "06ygz1wa488wqvmxbn74b0fyan4wf3lb6kbwfampgikd1gijww2k";
|
||||
name = "mingw-w64-clang-x86_64-openblas-0.3.27-1-any.pkg.tar.zst";
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-openblas-0.3.26-1-any.pkg.tar.zst";
|
||||
sha256 = "0kdr72y5lc9dl9s1bjrw8g21qmv2iwd1xvn1r21170i277wsmqiv";
|
||||
name = "mingw-w64-clang-x86_64-openblas-0.3.26-1-any.pkg.tar.zst";
|
||||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
|
|
@ -349,8 +343,8 @@
|
|||
})
|
||||
|
||||
(pkgs.fetchurl {
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-python-setuptools-70.2.0-1-any.pkg.tar.zst";
|
||||
sha256 = "1q4r9bg2hn3jmshvq81xm5zvy9wn35yf0z2ayksrkwph1zzdkvkm";
|
||||
name = "mingw-w64-clang-x86_64-python-setuptools-70.2.0-1-any.pkg.tar.zst";
|
||||
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-python-setuptools-69.1.1-1-any.pkg.tar.zst";
|
||||
sha256 = "1mc56anasj0v92nlg84m3pa7dbqgjakxw0b4ibqlrr9cq0xzsg4b";
|
||||
name = "mingw-w64-clang-x86_64-python-setuptools-69.1.1-1-any.pkg.tar.zst";
|
||||
})
|
||||
]
|
||||
|
|
|
|||
Loading…
Reference in New Issue