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Author SHA1 Message Date
lyken 7e3d87f841 core/codegen: fix bug in call_ceil function 2024-08-07 16:40:55 +08:00
David Mak ac0d83ef98 standalone: Add vararg.py 2024-08-06 11:48:42 +08:00
David Mak 3ff6db1a29 core/codegen: Add va_start and va_end intrinsics 2024-08-06 11:48:42 +08:00
David Mak d7b806afb4 core/codegen: Implement support for va_info on supported architectures 2024-08-06 11:48:40 +08:00
David Mak fac60c3974 core/codegen: Handle vararg in function generation 2024-08-06 11:46:00 +08:00
David Mak f5fb504a15 core/codegen/expr: Implement vararg handling in gen_call 2024-08-06 11:46:00 +08:00
David Mak faa3bb97ad core/typecheck/typedef: Add vararg to Unifier::stringify 2024-08-06 11:46:00 +08:00
David Mak 6a64c9d1de core/typecheck/typedef: Add is_vararg_ctx to TTuple 2024-08-06 11:45:54 +08:00
David Mak 3dc8498202 core/typecheck/typedef: Handle vararg parameters in unify_call 2024-08-06 11:43:13 +08:00
David Mak cbf79c5e9c core/typecheck/typedef: Add is_vararg to FuncArg, ConcreteFuncArg 2024-08-06 11:43:13 +08:00
David Mak b8aa17bf8c core/toplevel/composer: Add parsing for vararg parameter 2024-08-06 10:52:24 +08:00
David Mak f5b998cd9c core/codegen: Remove unnecessary mut from get_llvm*_type 2024-08-06 10:52:24 +08:00
David Mak c36f85ecb9 meta: Update dependencies 2024-08-06 10:52:24 +08:00
lyken 3a8c385e01 core/typecheck: fix missing ExprKind::Asterisk in fix_assignment_target_context 2024-08-05 19:30:48 +08:00
lyken 221de4d06a core/codegen: add missing comment 2024-08-05 19:30:48 +08:00
lyken fb9fe8edf2 core: reimplement assignment type inference and codegen
- distinguish between setitem and getitem
- allow starred assignment targets, but the assigned value would be a tuple
- allow both [...] and (...) to be target lists
2024-08-05 19:30:48 +08:00
lyken 894083c6a3 core/codegen: refactor gen_{for,comprehension} to match on iter type 2024-08-05 19:30:48 +08:00
Sébastien Bourdeauducq 669c6aca6b clean up and fix 32-bit demos 2024-08-05 19:04:25 +08:00
abdul124 63d2b49b09 core: remove np_linalg_matmul 2024-08-05 11:44:55 +08:00
abdul124 bf709889c4 standalone/demo: separate linalg functions from main workspace 2024-08-05 11:44:54 +08:00
abdul124 1c72698d02 core: add np_linalg_det and np_linalg_matrix_power functions 2024-07-31 18:02:54 +08:00
abdul124 54f883f0a5 core: implement np_dot using LLVM_IR 2024-07-31 15:53:51 +08:00
abdul124 4a6845dac6 standalone: add np.transpose and np.reshape functions 2024-07-31 13:23:07 +08:00
abdul124 00236f48bc core: add np.transpose and np.reshape functions 2024-07-31 13:23:07 +08:00
abdul124 a3e6bb2292 core/helper: add linalg section 2024-07-31 13:23:07 +08:00
abdul124 17171065b1 standalone: link linalg at runtime 2024-07-31 13:23:07 +08:00
abdul124 540b35ec84 standalone: move linalg functions to demo 2024-07-31 13:23:05 +08:00
abdul124 4bb00c52e3 core/builtin_fns: improve error reporting 2024-07-31 13:21:31 +08:00
abdul124 faf07527cb standalone: add runtime implementation for linalg functions 2024-07-31 13:21:28 +08:00
abdul124 d6a4d0a634 standalone: add linalg methods and tests 2024-07-29 16:48:06 +08:00
abdul124 2242c5af43 core: add linalg methods 2024-07-29 16:48:06 +08:00
David Mak 318a675ea6 standalone: Rename -m32 to -i386 2024-07-29 14:58:58 +08:00
David Mak 32e52ce198 standalone: Revert using uint32_t as slice length
Turns out list and str have always been size_t.
2024-07-29 14:58:29 +08:00
Sebastien Bourdeauducq 665ca8e32d cargo: update dependencies 2024-07-27 22:24:56 +08:00
Sebastien Bourdeauducq 12c12b1d80 flake: update nixpkgs 2024-07-27 22:22:20 +08:00
lyken 72972fa909 core/toplevel: add more numpy categories 2024-07-27 21:57:47 +08:00
lyken 142cd48594 core/toplevel: reorder PrimDef::details 2024-07-27 21:57:47 +08:00
lyken 8adfe781c5 core/toplevel: fix PrimDef method names 2024-07-27 21:57:47 +08:00
lyken 339b74161b core/toplevel: reorganize PrimDef 2024-07-27 21:57:47 +08:00
David Mak 8c5ba37d09 standalone: Add 32-bit execution tests to check_demo.sh 2024-07-26 13:35:40 +08:00
David Mak 05a8948ff2 core: Minor cleanup to use ListValue APIs 2024-07-26 13:35:40 +08:00
David Mak 6d171ec284 core: Add label name and hooks to gen_for functions 2024-07-26 13:35:40 +08:00
David Mak 0ba68f6657 core: Set target triple and datalayout for each module
Fixes an issue with inconsistent pointer sizes causing crashes.
2024-07-26 13:35:40 +08:00
David Mak 693b2a8863 core: Add support for 32-bit size_t on 64-bit targets 2024-07-26 13:35:40 +08:00
David Mak 5faeede0e5 Determine size_t using LLVM target machine 2024-07-26 13:35:38 +08:00
David Mak 266707df9d standalone: Add support for running 32-bit binaries 2024-07-26 13:32:38 +08:00
David Mak 3d3c258756 standalone: Remove support for --lli 2024-07-26 13:32:38 +08:00
David Mak ed1182cb24 standalone: Update format specifiers for exceptions
Use platform-agnostic identifiers instead.
2024-07-26 13:32:37 +08:00
David Mak fd025c1137 standalone: Use uint32_t for cslice length
Matching the expected type of string and list slices.
2024-07-26 13:32:21 +08:00
David Mak f139db9af9 meta: Update dependencies 2024-07-26 10:33:02 +08:00
lyken 44487b76ae standalone: interpret_demo.py remove duplicated section 2024-07-22 17:23:35 +08:00
lyken 1332f113e8 standalone: fix interpret_demo.py comments 2024-07-22 17:06:14 +08:00
Sébastien Bourdeauducq 7632d6f72a cargo: update dependencies 2024-07-21 11:00:25 +08:00
David Mak 4948395ca2 core/toplevel/type_annotation: Add handling for mismatching class def
Primitive types only contain fields in its Type and not its TopLevelDef.
This causes primitive object types to lack some fields.
2024-07-19 14:42:14 +08:00
David Mak 3db3061d99 artiq/symbol_resolver: Handle type of zero-length lists 2024-07-19 14:42:14 +08:00
David Mak 51c2175c80 core/codegen/stmt: Convert assertion values to i1 2024-07-19 14:42:14 +08:00
lyken 1a31a50b8a
standalone: fix __nac3_raise def in demo.c 2024-07-17 21:22:08 +08:00
lyken 6c10e3d056 core: cargo clippy 2024-07-12 21:18:53 +08:00
lyken 2dbc1ec659 cargo fmt 2024-07-12 21:16:38 +08:00
Sebastien Bourdeauducq c80378063a add np_argmin/argmax to interpret_demo environment 2024-07-12 13:27:52 +02:00
abdul124 513d30152b core: support raise exception short form 2024-07-12 18:58:34 +08:00
abdul124 45e9360c4d standalone: Add np_argmax and np_argmin tests 2024-07-12 18:19:56 +08:00
abdul124 2e01b77fc8 core: refactor np_max/np_min functions 2024-07-12 18:18:54 +08:00
abdul124 cea7cade51 core: add np_argmax/np_argmin functions 2024-07-12 18:18:28 +08:00
Sebastien Bourdeauducq d658d9b00e update dependencies, Python 3.12 on Linux 2024-07-09 23:56:12 +08:00
abdul124 eeb474f9e6 core: reduce code duplication in codegen/extern_fns (#453)
Used macros to reduce code duplication in `codegen/extern_fns`

Reviewed-on: M-Labs/nac3#453
Co-authored-by: abdul124 <ar@m-labs.hk>
Co-committed-by: abdul124 <ar@m-labs.hk>
2024-07-09 16:31:08 +08:00
abdul124 88b72af2d1 core/llvm_intrinsic: improve macro name and comments 2024-07-09 16:30:32 +08:00
abdul124 b73f6c4d68 core: reduce code duplication in codegen/llvm_intrinsic 2024-07-09 16:30:32 +08:00
David Mak f47cdec650 standalone: Fix output format of output_range 2024-07-09 13:55:48 +08:00
David Mak d656880e44 standalone: Fix missing implementation for output_range 2024-07-09 13:53:50 +08:00
David Mak a91602915a core: Fix missing fields in range type 2024-07-09 13:53:50 +08:00
David Mak 1c56005a01 core: Reformat and modernize irrt.cpp
- Use anon namespace instead of static
- Use using declaration instead of typedef
- Align pointers to the type instead of the identifier
2024-07-09 13:53:50 +08:00
David Mak bc40a32524 core: Add report_type_error to enable more code reuse 2024-07-09 13:44:47 +08:00
David Mak c820daf5f8 core: Apply cargo format 2024-07-09 13:32:10 +08:00
David Mak 25d2de67f7 standalone: Add output_range and tests 2024-07-09 04:44:40 +08:00
David Mak 2cfb7a7e10 core: Refactor range function into constructor 2024-07-09 04:44:40 +08:00
David Mak 9238a5e86e standalone: Rename output_str to output_strln and add output_str
output_str is for outputting strings without newline, and the newly
introduced output_strln now has the old behavior of ending with a
newline.
2024-07-09 04:44:40 +08:00
lyken 76defac462 meta: use clang -x c++ instead of clang++ 2024-07-07 20:03:34 +08:00
lyken 650f354b74 core: use C++ for irrt source 2024-07-07 14:36:10 +08:00
abdul124 f062ef5f59 core/llvm_intrinsic: replace roundeven with rint 2024-07-07 14:24:18 +08:00
lyken f52086b706 core: improve binop and cmpop error messages 2024-07-05 16:27:24 +08:00
lyken 0a732691c9 core: refactor typecheck/magic_methods.rs operators & add op symbol name 2024-07-05 16:27:20 +08:00
lyken cbff356d50 core: workaround inkwell on `llvm.stackrestore` 2024-07-05 13:56:12 +08:00
lyken 24ac3820b2 core: check int32 obj_id directly in fold_numpy_function_call_shape_argument 2024-07-05 10:36:47 +08:00
David Mak ba32fab374 standalone: Add demos for list arithmetic operators 2024-07-04 16:01:15 +08:00
David Mak c4052b6342 core: Implement multi-operand __eq__ and __ne__ for lists 2024-07-04 16:01:15 +08:00
David Mak 66c205275f core: Implement list::__add__ 2024-07-04 16:01:11 +08:00
David Mak c85e412206 core: Implement list::__mul__ 2024-07-04 15:53:50 +08:00
David Mak 075536d7bd core: Add BreakContinueHooks for gen_for_callback 2024-07-04 15:32:18 +08:00
David Mak 13beeaa2bf core: Implement handling for zero-length lists 2024-07-04 15:32:18 +08:00
David Mak 2194dbddd5 core/type_annotation: Refactor List type to TObj
In preparation for operators on lists.
2024-07-04 15:32:18 +08:00
David Mak 94a1d547d6 meta: Update dependencies 2024-07-04 15:32:18 +08:00
lyken d6565feed3 core: ndarray_from_ndlist_impl cast size_of to usize 2024-07-04 12:24:52 +08:00
abdul124 83154ef8e1 core/llvm_intrinsics: remove llvm.roundeven call from call_float_roundeven 2024-07-03 14:17:47 +08:00
lyken 0744b938b8 core: fix __nac3_ndarray_calc_size crash due to incorrect typing 2024-07-03 13:03:14 +08:00
lyken 56fa2b6803 core: fix crash on iterating over non-iterables
a
2024-06-28 15:45:53 +08:00
lyken d06c13f936 core: fix crash on invalid subscripting 2024-06-27 16:58:48 +08:00
lyken 9808923258 core: improve comments in type_inferencer/mod.rs 2024-06-27 14:46:48 +08:00
lyken 5b11a1dbdd core: support tuple and int32 input for np_empty, np_ones, and more 2024-06-27 14:30:17 +08:00
lyken b21df53e0d core: fix comment typo in unify_call() 2024-06-27 14:06:39 +08:00
lyken 0ec967a468 core: improve function call errors 2024-06-27 14:06:39 +08:00
lyken ca8459dc7b standalone: prettify TopLevelComposer error reporting 2024-06-27 10:15:14 +08:00
abdul124 b0b804051a nac3artiq: allow class attribute access without init function 2024-06-25 16:06:33 +08:00
abdul124 134af79fd6 core: add support for class attributes 2024-06-25 16:06:33 +08:00
abdul124 7fe2c3496c core: add attribute field to class definition 2024-06-25 16:06:33 +08:00
60 changed files with 7626 additions and 3312 deletions

1
.gitignore vendored
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@ -1,3 +1,4 @@
__pycache__
/target
/nac3standalone/demo/linalg/target
nix/windows/msys2

237
Cargo.lock generated
View File

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"insta",
@ -706,7 +706,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b4c5cc86750666a3ed20bdaf5ca2a0344f9c67674cae0515bec2da16fbaa47db"
dependencies = [
"fixedbitset",
"indexmap 2.2.6",
"indexmap 2.3.0",
]
[[package]]
@ -749,7 +749,7 @@ dependencies = [
"phf_shared 0.11.2",
"proc-macro2",
"quote",
"syn 2.0.66",
"syn 2.0.72",
]
[[package]]
@ -778,15 +778,18 @@ checksum = "5be167a7af36ee22fe3115051bc51f6e6c7054c9348e28deb4f49bd6f705a315"
[[package]]
name = "portable-atomic"
version = "1.6.0"
version = "1.7.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7170ef9988bc169ba16dd36a7fa041e5c4cbeb6a35b76d4c03daded371eae7c0"
checksum = "da544ee218f0d287a911e9c99a39a8c9bc8fcad3cb8db5959940044ecfc67265"
[[package]]
name = "ppv-lite86"
version = "0.2.17"
version = "0.2.20"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5b40af805b3121feab8a3c29f04d8ad262fa8e0561883e7653e024ae4479e6de"
checksum = "77957b295656769bb8ad2b6a6b09d897d94f05c41b069aede1fcdaa675eaea04"
dependencies = [
"zerocopy",
]
[[package]]
name = "precomputed-hash"
@ -796,9 +799,9 @@ checksum = "925383efa346730478fb4838dbe9137d2a47675ad789c546d150a6e1dd4ab31c"
[[package]]
name = "proc-macro2"
version = "1.0.85"
version = "1.0.86"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "22244ce15aa966053a896d1accb3a6e68469b97c7f33f284b99f0d576879fc23"
checksum = "5e719e8df665df0d1c8fbfd238015744736151d4445ec0836b8e628aae103b77"
dependencies = [
"unicode-ident",
]
@ -850,7 +853,7 @@ dependencies = [
"proc-macro2",
"pyo3-macros-backend",
"quote",
"syn 2.0.66",
"syn 2.0.72",
]
[[package]]
@ -863,7 +866,7 @@ dependencies = [
"proc-macro2",
"pyo3-build-config",
"quote",
"syn 2.0.66",
"syn 2.0.72",
]
[[package]]
@ -927,9 +930,9 @@ dependencies = [
[[package]]
name = "redox_syscall"
version = "0.5.2"
version = "0.5.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c82cf8cff14456045f55ec4241383baeff27af886adb72ffb2162f99911de0fd"
checksum = "2a908a6e00f1fdd0dfd9c0eb08ce85126f6d8bbda50017e74bc4a4b7d4a926a4"
dependencies = [
"bitflags",
]
@ -947,9 +950,9 @@ dependencies = [
[[package]]
name = "regex"
version = "1.10.5"
version = "1.10.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b91213439dad192326a0d7c6ee3955910425f441d7038e0d6933b0aec5c4517f"
checksum = "4219d74c6b67a3654a9fbebc4b419e22126d13d2f3c4a07ee0cb61ff79a79619"
dependencies = [
"aho-corasick",
"memchr",
@ -991,7 +994,7 @@ dependencies = [
"errno",
"libc",
"linux-raw-sys",
"windows-sys",
"windows-sys 0.52.0",
]
[[package]]
@ -1029,31 +1032,32 @@ checksum = "61697e0a1c7e512e84a621326239844a24d8207b4669b41bc18b32ea5cbf988b"
[[package]]
name = "serde"
version = "1.0.203"
version = "1.0.204"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7253ab4de971e72fb7be983802300c30b5a7f0c2e56fab8abfc6a214307c0094"
checksum = "bc76f558e0cbb2a839d37354c575f1dc3fdc6546b5be373ba43d95f231bf7c12"
dependencies = [
"serde_derive",
]
[[package]]
name = "serde_derive"
version = "1.0.203"
version = "1.0.204"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "500cbc0ebeb6f46627f50f3f5811ccf6bf00643be300b4c3eabc0ef55dc5b5ba"
checksum = "e0cd7e117be63d3c3678776753929474f3b04a43a080c744d6b0ae2a8c28e222"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.66",
"syn 2.0.72",
]
[[package]]
name = "serde_json"
version = "1.0.117"
version = "1.0.122"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "455182ea6142b14f93f4bc5320a2b31c1f266b66a4a5c858b013302a5d8cbfc3"
checksum = "784b6203951c57ff748476b126ccb5e8e2959a5c19e5c617ab1956be3dbc68da"
dependencies = [
"itoa",
"memchr",
"ryu",
"serde",
]
@ -1072,9 +1076,9 @@ dependencies = [
[[package]]
name = "similar"
version = "2.5.0"
version = "2.6.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fa42c91313f1d05da9b26f267f931cf178d4aba455b4c4622dd7355eb80c6640"
checksum = "1de1d4f81173b03af4c0cbed3c898f6bff5b870e4a7f5d6f4057d62a7a4b686e"
[[package]]
name = "siphasher"
@ -1120,9 +1124,9 @@ checksum = "7da8b5736845d9f2fcb837ea5d9e2628564b3b043a70948a3f0b778838c5fb4f"
[[package]]
name = "strum"
version = "0.26.2"
version = "0.26.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5d8cec3501a5194c432b2b7976db6b7d10ec95c253208b45f83f7136aa985e29"
checksum = "8fec0f0aef304996cf250b31b5a10dee7980c85da9d759361292b8bca5a18f06"
[[package]]
name = "strum_macros"
@ -1134,7 +1138,7 @@ dependencies = [
"proc-macro2",
"quote",
"rustversion",
"syn 2.0.66",
"syn 2.0.72",
]
[[package]]
@ -1150,9 +1154,9 @@ dependencies = [
[[package]]
name = "syn"
version = "2.0.66"
version = "2.0.72"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c42f3f41a2de00b01c0aaad383c5a45241efc8b2d1eda5661812fda5f3cdcff5"
checksum = "dc4b9b9bf2add8093d3f2c0204471e951b2285580335de42f9d2534f3ae7a8af"
dependencies = [
"proc-macro2",
"quote",
@ -1161,20 +1165,21 @@ dependencies = [
[[package]]
name = "target-lexicon"
version = "0.12.14"
version = "0.12.16"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e1fc403891a21bcfb7c37834ba66a547a8f402146eba7265b5a6d88059c9ff2f"
checksum = "61c41af27dd6d1e27b1b16b489db798443478cef1f06a660c96db617ba5de3b1"
[[package]]
name = "tempfile"
version = "3.10.1"
version = "3.11.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "85b77fafb263dd9d05cbeac119526425676db3784113aa9295c88498cbf8bff1"
checksum = "b8fcd239983515c23a32fb82099f97d0b11b8c72f654ed659363a95c3dad7a53"
dependencies = [
"cfg-if",
"fastrand",
"once_cell",
"rustix",
"windows-sys",
"windows-sys 0.52.0",
]
[[package]]
@ -1203,22 +1208,22 @@ dependencies = [
[[package]]
name = "thiserror"
version = "1.0.61"
version = "1.0.63"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c546c80d6be4bc6a00c0f01730c08df82eaa7a7a61f11d656526506112cc1709"
checksum = "c0342370b38b6a11b6cc11d6a805569958d54cfa061a29969c3b5ce2ea405724"
dependencies = [
"thiserror-impl",
]
[[package]]
name = "thiserror-impl"
version = "1.0.61"
version = "1.0.63"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "46c3384250002a6d5af4d114f2845d37b57521033f30d5c3f46c4d70e1197533"
checksum = "a4558b58466b9ad7ca0f102865eccc95938dca1a74a856f2b57b6629050da261"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.66",
"syn 2.0.72",
]
[[package]]
@ -1336,9 +1341,9 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
[[package]]
name = "version_check"
version = "0.9.4"
version = "0.9.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "49874b5167b65d7193b8aba1567f5c7d93d001cafc34600cee003eda787e483f"
checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a"
[[package]]
name = "walkdir"
@ -1374,11 +1379,11 @@ checksum = "ac3b87c63620426dd9b991e5ce0329eff545bccbbb34f3be09ff6fb6ab51b7b6"
[[package]]
name = "winapi-util"
version = "0.1.8"
version = "0.1.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4d4cc384e1e73b93bafa6fb4f1df8c41695c8a91cf9c4c64358067d15a7b6c6b"
checksum = "cf221c93e13a30d793f7645a0e7762c55d169dbb0a49671918a2319d289b10bb"
dependencies = [
"windows-sys",
"windows-sys 0.59.0",
]
[[package]]
@ -1397,10 +1402,19 @@ dependencies = [
]
[[package]]
name = "windows-targets"
version = "0.52.5"
name = "windows-sys"
version = "0.59.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6f0713a46559409d202e70e28227288446bf7841d3211583a4b53e3f6d96e7eb"
checksum = "1e38bc4d79ed67fd075bcc251a1c39b32a1776bbe92e5bef1f0bf1f8c531853b"
dependencies = [
"windows-targets",
]
[[package]]
name = "windows-targets"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9b724f72796e036ab90c1021d4780d4d3d648aca59e491e6b98e725b84e99973"
dependencies = [
"windows_aarch64_gnullvm",
"windows_aarch64_msvc",
@ -1414,51 +1428,51 @@ dependencies = [
[[package]]
name = "windows_aarch64_gnullvm"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7088eed71e8b8dda258ecc8bac5fb1153c5cffaf2578fc8ff5d61e23578d3263"
checksum = "32a4622180e7a0ec044bb555404c800bc9fd9ec262ec147edd5989ccd0c02cd3"
[[package]]
name = "windows_aarch64_msvc"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9985fd1504e250c615ca5f281c3f7a6da76213ebd5ccc9561496568a2752afb6"
checksum = "09ec2a7bb152e2252b53fa7803150007879548bc709c039df7627cabbd05d469"
[[package]]
name = "windows_i686_gnu"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "88ba073cf16d5372720ec942a8ccbf61626074c6d4dd2e745299726ce8b89670"
checksum = "8e9b5ad5ab802e97eb8e295ac6720e509ee4c243f69d781394014ebfe8bbfa0b"
[[package]]
name = "windows_i686_gnullvm"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "87f4261229030a858f36b459e748ae97545d6f1ec60e5e0d6a3d32e0dc232ee9"
checksum = "0eee52d38c090b3caa76c563b86c3a4bd71ef1a819287c19d586d7334ae8ed66"
[[package]]
name = "windows_i686_msvc"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "db3c2bf3d13d5b658be73463284eaf12830ac9a26a90c717b7f771dfe97487bf"
checksum = "240948bc05c5e7c6dabba28bf89d89ffce3e303022809e73deaefe4f6ec56c66"
[[package]]
name = "windows_x86_64_gnu"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4e4246f76bdeff09eb48875a0fd3e2af6aada79d409d33011886d3e1581517d9"
checksum = "147a5c80aabfbf0c7d901cb5895d1de30ef2907eb21fbbab29ca94c5b08b1a78"
[[package]]
name = "windows_x86_64_gnullvm"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "852298e482cd67c356ddd9570386e2862b5673c85bd5f88df9ab6802b334c596"
checksum = "24d5b23dc417412679681396f2b49f3de8c1473deb516bd34410872eff51ed0d"
[[package]]
name = "windows_x86_64_msvc"
version = "0.52.5"
version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "bec47e5bfd1bff0eeaf6d8b485cc1074891a197ab4225d504cb7a1ab88b02bf0"
checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
[[package]]
name = "yaml-rust"
@ -1471,20 +1485,21 @@ dependencies = [
[[package]]
name = "zerocopy"
version = "0.7.34"
version = "0.7.35"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ae87e3fcd617500e5d106f0380cf7b77f3c6092aae37191433159dda23cfb087"
checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
dependencies = [
"byteorder",
"zerocopy-derive",
]
[[package]]
name = "zerocopy-derive"
version = "0.7.34"
version = "0.7.35"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "15e934569e47891f7d9411f1a451d947a60e000ab3bd24fbb970f000387d1b3b"
checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.66",
"syn 2.0.72",
]

View File

@ -2,11 +2,11 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1718530797,
"narHash": "sha256-pup6cYwtgvzDpvpSCFh1TEUjw2zkNpk8iolbKnyFmmU=",
"lastModified": 1721924956,
"narHash": "sha256-Sb1jlyRO+N8jBXEX9Pg9Z1Qb8Bw9QyOgLDNMEpmjZ2M=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "b60ebf54c15553b393d144357375ea956f89e9a9",
"rev": "5ad6a14c6bf098e98800b091668718c336effc95",
"type": "github"
},
"original": {

View File

@ -6,6 +6,7 @@
outputs = { self, nixpkgs }:
let
pkgs = import nixpkgs { system = "x86_64-linux"; };
pkgs32 = import nixpkgs { system = "i686-linux"; };
in rec {
packages.x86_64-linux = rec {
llvm-nac3 = pkgs.callPackage ./nix/llvm {};
@ -15,6 +16,22 @@
ln -s ${pkgs.llvmPackages_14.clang-unwrapped}/bin/clang $out/bin/clang-irrt
ln -s ${pkgs.llvmPackages_14.llvm.out}/bin/llvm-as $out/bin/llvm-as-irrt
'';
demo-linalg-stub = pkgs.rustPlatform.buildRustPackage {
name = "demo-linalg-stub";
src = ./nac3standalone/demo/linalg;
cargoLock = {
lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
};
doCheck = false;
};
demo-linalg-stub32 = pkgs32.rustPlatform.buildRustPackage {
name = "demo-linalg-stub32";
src = ./nac3standalone/demo/linalg;
cargoLock = {
lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
};
doCheck = false;
};
nac3artiq = pkgs.python3Packages.toPythonModule (
pkgs.rustPlatform.buildRustPackage rec {
name = "nac3artiq";
@ -24,7 +41,7 @@
lockFile = ./Cargo.lock;
};
passthru.cargoLock = cargoLock;
nativeBuildInputs = [ pkgs.python3 pkgs.llvmPackages_14.clang llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
nativeBuildInputs = [ pkgs.python3 (pkgs.wrapClangMulti pkgs.llvmPackages_14.clang) llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
buildInputs = [ pkgs.python3 llvm-nac3 ];
checkInputs = [ (pkgs.python3.withPackages(ps: [ ps.numpy ps.scipy ])) ];
checkPhase =
@ -32,7 +49,9 @@
echo "Checking nac3standalone demos..."
pushd nac3standalone/demo
patchShebangs .
./check_demos.sh
export DEMO_LINALG_STUB=${demo-linalg-stub}/lib/liblinalg.a
export DEMO_LINALG_STUB32=${demo-linalg-stub32}/lib/liblinalg.a
./check_demos.sh -i686
popd
echo "Running Cargo tests..."
cargoCheckHook
@ -149,7 +168,7 @@
buildInputs = with pkgs; [
# build dependencies
packages.x86_64-linux.llvm-nac3
llvmPackages_14.clang llvmPackages_14.llvm.out # for running nac3standalone demos
(pkgs.wrapClangMulti llvmPackages_14.clang) llvmPackages_14.llvm.out # for running nac3standalone demos
packages.x86_64-linux.llvm-tools-irrt
cargo
rustc
@ -162,6 +181,11 @@
pre-commit
rustfmt
];
shellHook =
''
export DEMO_LINALG_STUB=${packages.x86_64-linux.demo-linalg-stub}/lib/liblinalg.a
export DEMO_LINALG_STUB32=${packages.x86_64-linux.demo-linalg-stub32}/lib/liblinalg.a
'';
};
devShells.x86_64-linux.msys2 = pkgs.mkShell {
name = "nac3-dev-shell-msys2";

View File

@ -0,0 +1,24 @@
from min_artiq import *
from numpy import int32
@nac3
class EmptyList:
core: KernelInvariant[Core]
def __init__(self):
self.core = Core()
@rpc
def get_empty(self) -> list[int32]:
return []
@kernel
def run(self):
a: list[int32] = self.get_empty()
if a != []:
raise ValueError
if __name__ == "__main__":
EmptyList().run()

View File

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

View File

@ -6,8 +6,8 @@ use nac3core::{
CodeGenContext, CodeGenerator,
},
symbol_resolver::ValueEnum,
toplevel::{helper::PrimDef, DefinitionId, GenCall},
typecheck::typedef::{FunSignature, FuncArg, Type, TypeEnum, VarMap},
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId, GenCall},
typecheck::typedef::{iter_type_vars, FunSignature, FuncArg, Type, TypeEnum, VarMap},
};
use nac3parser::ast::{Expr, ExprKind, Located, Stmt, StmtKind, StrRef};
@ -23,7 +23,6 @@ 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,
@ -387,16 +386,18 @@ fn gen_rpc_tag(
} else {
let ty_enum = ctx.unifier.get_ty(ty);
match &*ty_enum {
TTuple { ty } => {
TTuple { ty, is_vararg_ctx: false } => {
buffer.push(b't');
buffer.push(ty.len() as u8);
for ty in ty {
gen_rpc_tag(ctx, *ty, buffer)?;
}
}
TList { ty } => {
TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let ty = iter_type_vars(params).next().unwrap().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);
@ -657,7 +658,7 @@ 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(
@ -675,8 +676,10 @@ pub fn attributes_writeback(
host_attributes.append(pydict)?;
}
}
TypeEnum::TList { ty: elem_ty } => {
if gen_rpc_tag(ctx, *elem_ty, &mut scratch_buffer).is_ok() {
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() {
let pydict = PyDict::new(py);
pydict.set_item("obj", val)?;
host_attributes.append(pydict)?;
@ -697,6 +700,7 @@ pub fn attributes_writeback(
name: i.to_string().into(),
ty: *ty,
default_value: None,
is_vararg: false,
})
.collect(),
ret: ctx.primitives.none,

View File

@ -24,6 +24,7 @@ use std::rc::Rc;
use std::sync::Arc;
use inkwell::{
context::Context,
memory_buffer::MemoryBuffer,
module::{Linkage, Module},
passes::PassBuilderOptions,
@ -264,7 +265,7 @@ impl Nac3 {
arg_names.len(),
));
}
for (i, FuncArg { ty, default_value, name }) in args.iter().enumerate() {
for (i, FuncArg { ty, default_value, name, .. }) in args.iter().enumerate() {
let in_name = match arg_names.get(i) {
Some(n) => n,
None if default_value.is_none() => {
@ -625,7 +626,9 @@ impl Nac3 {
let buffer = buffer.as_slice().into();
membuffer.lock().push(buffer);
})));
let size_t = if self.isa == Isa::Host { 64 } else { 32 };
let size_t = Context::create()
.ptr_sized_int_type(&self.get_llvm_target_machine().get_target_data(), None)
.get_bit_width();
let num_threads = if is_multithreaded() { 4 } else { 1 };
let thread_names: Vec<String> = (0..num_threads).map(|_| "main".to_string()).collect();
let threads: Vec<_> = thread_names
@ -644,6 +647,9 @@ impl Nac3 {
ArtiqCodeGenerator::new("attributes_writeback".to_string(), size_t, self.time_fns);
let context = inkwell::context::Context::create();
let module = context.create_module("attributes_writeback");
let target_machine = self.llvm_options.create_target_machine().unwrap();
module.set_data_layout(&target_machine.get_target_data().get_data_layout());
module.set_triple(&target_machine.get_triple());
let builder = context.create_builder();
let (_, module, _) = gen_func_impl(
&context,
@ -863,6 +869,7 @@ impl Nac3 {
name: "t".into(),
ty: primitive.int64,
default_value: None,
is_vararg: false,
}],
ret: primitive.none,
vars: VarMap::new(),
@ -882,6 +889,7 @@ impl Nac3 {
name: "dt".into(),
ty: primitive.int64,
default_value: None,
is_vararg: false,
}],
ret: primitive.none,
vars: VarMap::new(),

View File

@ -329,8 +329,19 @@ 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.add_ty(TypeEnum::TList { ty: var });
let list = unifier
.subst(primitives.list, &into_var_map([TypeVar { id: list_tvar.id, ty: var }]))
.unwrap();
Ok(Ok((list, false)))
} else if ty_id == self.primitive_ids.ndarray {
// do not handle type var param and concrete check here
@ -340,7 +351,7 @@ impl InnerResolver {
Ok(Ok((ndarray, false)))
} else if ty_id == self.primitive_ids.tuple {
// do not handle type var param and concrete check here
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![] }), false)))
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![], is_vararg_ctx: false }), false)))
} else if ty_id == self.primitive_ids.option {
Ok(Ok((primitives.option, false)))
} else if ty_id == self.primitive_ids.none {
@ -460,7 +471,7 @@ impl InnerResolver {
};
match &*unifier.get_ty(origin_ty) {
TypeEnum::TList { .. } => {
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
if args.len() == 1 {
let ty = match self.get_pyty_obj_type(
py,
@ -477,7 +488,21 @@ impl InnerResolver {
"type list should take concrete parameters in typevar range".into(),
));
}
Ok(Ok((unifier.add_ty(TypeEnum::TList { ty: ty.0 }), true)))
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)))
} else {
return Ok(Err(format!(
"type list needs exactly 1 type parameters, found {}",
@ -530,7 +555,10 @@ impl InnerResolver {
Err(err) => return Ok(Err(err)),
_ => return Ok(Err("tuple type needs at least 1 type parameters".to_string()))
};
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: args }), true)))
Ok(Ok((
unifier.add_ty(TypeEnum::TTuple { ty: args, is_vararg_ctx: false }),
true,
)))
}
TypeEnum::TObj { params, obj_id, .. } => {
let subst = {
@ -627,7 +655,9 @@ 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 TopLevelDef::Class { object_id, methods, constructor, .. } = &*def.read() {
if let Some(rear_guard) = def.try_read() {
if let TopLevelDef::Class { object_id, methods, constructor, .. } = &*rear_guard
{
if object_id == def_id
&& constructor.is_some()
&& methods.iter().any(|(s, _, _)| s == &"__init__".into())
@ -635,6 +665,7 @@ impl InnerResolver {
return *constructor;
}
}
}
None
})
});
@ -664,15 +695,38 @@ impl InnerResolver {
primitives,
)? {
Ok(s) => s,
Err(e) => return Ok(Err(e)),
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));
}
}
};
match (&*unifier.get_ty(extracted_ty), inst_check) {
// do the instantiation for these four types
(TypeEnum::TList { ty }, false) => {
(TypeEnum::TObj { obj_id, params, .. }, false) if *obj_id == PrimDef::List.id() => {
let ty = iter_type_vars(params).nth(0).unwrap().ty;
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()
));
@ -681,8 +735,25 @@ 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(()) => Ok(Ok(unifier.add_ty(TypeEnum::TList { ty: *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))
}
Err(e) => Ok(Err(format!(
"type error ({}) for the list",
e.to_display(unifier)
@ -729,7 +800,9 @@ impl InnerResolver {
.map(|elem| self.get_obj_type(py, elem, unifier, defs, primitives))
.collect();
let types = types?;
Ok(types.map(|types| unifier.add_ty(TypeEnum::TTuple { ty: types })))
Ok(types.map(|types| {
unifier.add_ty(TypeEnum::TTuple { ty: types, is_vararg_ctx: false })
}))
}
// special handling for option type since its class member layout in python side
// is special and cannot be mapped directly to a nac3 type as below
@ -917,15 +990,21 @@ impl InnerResolver {
}
let len: usize = self.helper.len_fn.call1(py, (obj,))?.extract(py)?;
let elem_ty = if let TypeEnum::TList { ty } =
ctx.unifier.get_ty_immutable(expected_ty).as_ref()
{
*ty
} else {
unreachable!("must be list")
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 ty = ctx.get_llvm_type(generator, elem_ty);
let size_t = generator.get_size_type(ctx.ctx);
let ty = if len == 0
&& matches!(&*ctx.unifier.get_ty_immutable(elem_ty), TypeEnum::TVar { .. })
{
// The default type for zero-length lists of unknown element type is size_t
size_t.into()
} else {
ctx.get_llvm_type(generator, elem_ty)
};
let arr_ty = ctx
.ctx
.struct_type(&[ty.ptr_type(AddressSpace::default()).into(), size_t.into()], false);
@ -1129,7 +1208,9 @@ impl InnerResolver {
Ok(Some(ndarray.as_pointer_value().into()))
} else if ty_id == self.primitive_ids.tuple {
let expected_ty_enum = ctx.unifier.get_ty_immutable(expected_ty);
let TypeEnum::TTuple { ty } = expected_ty_enum.as_ref() else { unreachable!() };
let TypeEnum::TTuple { ty, is_vararg_ctx: false } = expected_ty_enum.as_ref() else {
unreachable!()
};
let tup_tys = ty.iter();
let elements: &PyTuple = obj.downcast()?;

View File

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

View File

@ -8,7 +8,7 @@ use std::{
};
fn main() {
const FILE: &str = "src/codegen/irrt/irrt.c";
const FILE: &str = "src/codegen/irrt/irrt.cpp";
/*
* HACK: Sadly, clang doesn't let us emit generic LLVM bitcode.
@ -17,7 +17,11 @@ fn main() {
let flags: &[&str] = &[
"--target=wasm32",
FILE,
"-x",
"c++",
"-fno-discard-value-names",
"-fno-exceptions",
"-fno-rtti",
match env::var("PROFILE").as_deref() {
Ok("debug") => "-O0",
Ok("release") => "-O3",

View File

@ -1,9 +1,11 @@
use inkwell::types::BasicTypeEnum;
use inkwell::values::BasicValueEnum;
use inkwell::values::{BasicValue, BasicValueEnum, PointerValue};
use inkwell::{FloatPredicate, IntPredicate, OptimizationLevel};
use itertools::Itertools;
use crate::codegen::classes::{NDArrayValue, ProxyValue, UntypedArrayLikeAccessor};
use crate::codegen::classes::{
NDArrayValue, ProxyValue, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
};
use crate::codegen::numpy::ndarray_elementwise_unaryop_impl;
use crate::codegen::stmt::gen_for_callback_incrementing;
use crate::codegen::{extern_fns, irrt, llvm_intrinsics, numpy, CodeGenContext, CodeGenerator};
@ -31,7 +33,6 @@ pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
let llvm_usize = generator.get_size_type(ctx.ctx);
let (n_ty, n) = n;
Ok(match n {
BasicValueEnum::IntValue(n) if matches!(n.get_type().get_bit_width(), 1 | 8) => {
debug_assert!(ctx.unifier.unioned(n_ty, ctx.primitives.bool));
@ -419,7 +420,7 @@ pub fn call_numpy_round<'ctx, G: CodeGenerator + ?Sized>(
BasicValueEnum::FloatValue(n) => {
debug_assert!(ctx.unifier.unioned(n_ty, ctx.primitives.float));
llvm_intrinsics::call_float_roundeven(ctx, n, None).into()
llvm_intrinsics::call_float_rint(ctx, n, None).into()
}
BasicValueEnum::PointerValue(n)
@ -602,7 +603,7 @@ pub fn call_ceil<'ctx, G: CodeGenerator + ?Sized>(
ret_elem_ty,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|generator, ctx, val| call_floor(generator, ctx, (elem_ty, val), ret_elem_ty),
|generator, ctx, val| call_ceil(generator, ctx, (elem_ty, val), ret_elem_ty),
)?;
ndarray.as_base_value().into()
@ -661,90 +662,6 @@ pub fn call_min<'ctx>(
}
}
/// Invokes the `np_min` builtin function.
pub fn call_numpy_min<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
a: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_min";
let llvm_usize = generator.get_size_type(ctx.ctx);
let (a_ty, a) = a;
Ok(match a {
BasicValueEnum::IntValue(_) | BasicValueEnum::FloatValue(_) => {
debug_assert!([
ctx.primitives.bool,
ctx.primitives.int32,
ctx.primitives.uint32,
ctx.primitives.int64,
ctx.primitives.uint64,
ctx.primitives.float,
]
.iter()
.any(|ty| ctx.unifier.unioned(a_ty, *ty)));
a
}
BasicValueEnum::PointerValue(n)
if a_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, a_ty);
let llvm_ndarray_ty = ctx.get_llvm_type(generator, elem_ty);
let n = NDArrayValue::from_ptr_val(n, llvm_usize, None);
let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes(), (None, None));
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
let n_sz_eqz = ctx
.builder
.build_int_compare(IntPredicate::NE, n_sz, n_sz.get_type().const_zero(), "")
.unwrap();
ctx.make_assert(
generator,
n_sz_eqz,
"0:ValueError",
"zero-size array to reduction operation minimum which has no identity",
[None, None, None],
ctx.current_loc,
);
}
let accumulator_addr = generator.gen_var_alloc(ctx, llvm_ndarray_ty, None)?;
unsafe {
let identity =
n.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None);
ctx.builder.build_store(accumulator_addr, identity).unwrap();
}
gen_for_callback_incrementing(
generator,
ctx,
llvm_usize.const_int(1, false),
(n_sz, false),
|generator, ctx, idx| {
let elem = unsafe { n.data().get_unchecked(ctx, generator, &idx, None) };
let accumulator = ctx.builder.build_load(accumulator_addr, "").unwrap();
let result = call_min(ctx, (elem_ty, accumulator), (elem_ty, elem));
ctx.builder.build_store(accumulator_addr, result).unwrap();
Ok(())
},
llvm_usize.const_int(1, false),
)?;
let accumulator = ctx.builder.build_load(accumulator_addr, "").unwrap();
accumulator
}
_ => unsupported_type(ctx, FN_NAME, &[a_ty]),
})
}
/// Invokes the `np_minimum` builtin function.
pub fn call_numpy_minimum<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
@ -877,18 +794,20 @@ pub fn call_max<'ctx>(
}
}
/// Invokes the `np_max` builtin function.
pub fn call_numpy_max<'ctx, G: CodeGenerator + ?Sized>(
/// Invokes the `np_max`, `np_min`, `np_argmax`, `np_argmin` functions
/// * `fn_name`: Can be one of `"np_argmin"`, `"np_argmax"`, `"np_max"`, `"np_min"`
pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
a: (Type, BasicValueEnum<'ctx>),
fn_name: &str,
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_max";
debug_assert!(["np_argmin", "np_argmax", "np_max", "np_min"].iter().any(|f| *f == fn_name));
let llvm_int64 = ctx.ctx.i64_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let (a_ty, a) = a;
Ok(match a {
BasicValueEnum::IntValue(_) | BasicValueEnum::FloatValue(_) => {
debug_assert!([
@ -902,9 +821,12 @@ pub fn call_numpy_max<'ctx, G: CodeGenerator + ?Sized>(
.iter()
.any(|ty| ctx.unifier.unioned(a_ty, *ty)));
a
match fn_name {
"np_argmin" | "np_argmax" => llvm_int64.const_zero().into(),
"np_max" | "np_min" => a,
_ => unreachable!(),
}
}
BasicValueEnum::PointerValue(n)
if a_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
@ -923,41 +845,82 @@ pub fn call_numpy_max<'ctx, G: CodeGenerator + ?Sized>(
generator,
n_sz_eqz,
"0:ValueError",
"zero-size array to reduction operation minimum which has no identity",
format!("zero-size array to reduction operation {fn_name}").as_str(),
[None, None, None],
ctx.current_loc,
);
}
let accumulator_addr = generator.gen_var_alloc(ctx, llvm_ndarray_ty, None)?;
let res_idx = generator.gen_var_alloc(ctx, llvm_int64.into(), None)?;
unsafe {
let identity =
n.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None);
ctx.builder.build_store(accumulator_addr, identity).unwrap();
ctx.builder.build_store(res_idx, llvm_int64.const_zero()).unwrap();
}
gen_for_callback_incrementing(
generator,
ctx,
llvm_usize.const_int(1, false),
None,
llvm_int64.const_int(1, false),
(n_sz, false),
|generator, ctx, idx| {
|generator, ctx, _, idx| {
let elem = unsafe { n.data().get_unchecked(ctx, generator, &idx, None) };
let accumulator = ctx.builder.build_load(accumulator_addr, "").unwrap();
let result = call_max(ctx, (elem_ty, accumulator), (elem_ty, elem));
let cur_idx = ctx.builder.build_load(res_idx, "").unwrap();
let result = match fn_name {
"np_argmin" | "np_min" => {
call_min(ctx, (elem_ty, accumulator), (elem_ty, elem))
}
"np_argmax" | "np_max" => {
call_max(ctx, (elem_ty, accumulator), (elem_ty, elem))
}
_ => unreachable!(),
};
let updated_idx = match (accumulator, result) {
(BasicValueEnum::IntValue(m), BasicValueEnum::IntValue(n)) => ctx
.builder
.build_select(
ctx.builder.build_int_compare(IntPredicate::NE, m, n, "").unwrap(),
idx.into(),
cur_idx,
"",
)
.unwrap(),
(BasicValueEnum::FloatValue(m), BasicValueEnum::FloatValue(n)) => ctx
.builder
.build_select(
ctx.builder
.build_float_compare(FloatPredicate::ONE, m, n, "")
.unwrap(),
idx.into(),
cur_idx,
"",
)
.unwrap(),
_ => unsupported_type(ctx, fn_name, &[elem_ty, elem_ty]),
};
ctx.builder.build_store(res_idx, updated_idx).unwrap();
ctx.builder.build_store(accumulator_addr, result).unwrap();
Ok(())
},
llvm_usize.const_int(1, false),
llvm_int64.const_int(1, false),
)?;
let accumulator = ctx.builder.build_load(accumulator_addr, "").unwrap();
accumulator
match fn_name {
"np_argmin" | "np_argmax" => ctx.builder.build_load(res_idx, "").unwrap(),
"np_max" | "np_min" => ctx.builder.build_load(accumulator_addr, "").unwrap(),
_ => unreachable!(),
}
}
_ => unsupported_type(ctx, FN_NAME, &[a_ty]),
_ => unsupported_type(ctx, fn_name, &[a_ty]),
})
}
@ -1383,7 +1346,7 @@ create_helper_call_numpy_unary_elementwise_float_to_float!(
create_helper_call_numpy_unary_elementwise_float_to_float!(
call_numpy_rint,
"np_rint",
llvm_intrinsics::call_float_roundeven
llvm_intrinsics::call_float_rint
);
create_helper_call_numpy_unary_elementwise_float_to_float!(
@ -1874,3 +1837,501 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
_ => unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]),
})
}
/// Allocates a struct with the fields specified by `out_matrices` and returns a pointer to it
fn build_output_struct<'ctx>(
ctx: &mut CodeGenContext<'ctx, '_>,
out_matrices: Vec<BasicValueEnum<'ctx>>,
) -> PointerValue<'ctx> {
let field_ty =
out_matrices.iter().map(BasicValueEnum::get_type).collect::<Vec<BasicTypeEnum>>();
let out_ty = ctx.ctx.struct_type(&field_ty, false);
let out_ptr = ctx.builder.build_alloca(out_ty, "").unwrap();
for (i, v) in out_matrices.into_iter().enumerate() {
unsafe {
let ptr = ctx
.builder
.build_in_bounds_gep(
out_ptr,
&[
ctx.ctx.i32_type().const_zero(),
ctx.ctx.i32_type().const_int(i as u64, false),
],
"",
)
.unwrap();
ctx.builder.build_store(ptr, v).unwrap();
}
}
out_ptr
}
/// Invokes the `np_linalg_cholesky` linalg function
pub fn call_np_linalg_cholesky<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_cholesky";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim1])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_np_linalg_cholesky(ctx, x1, out, None);
Ok(out)
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `np_linalg_qr` linalg function
pub fn call_np_linalg_qr<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_qr";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unimplemented!("{FN_NAME} operates on float type NdArrays only");
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
let out_q = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, k])
.unwrap()
.as_base_value()
.as_basic_value_enum();
let out_r = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k, dim1])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_np_linalg_qr(ctx, x1, out_q, out_r, None);
let out_ptr = build_output_struct(ctx, vec![out_q, out_r]);
Ok(ctx.builder.build_load(out_ptr, "QR_Factorization_result").map(Into::into).unwrap())
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `np_linalg_svd` linalg function
pub fn call_np_linalg_svd<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_svd";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
let out_u = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
.unwrap()
.as_base_value()
.as_basic_value_enum();
let out_s = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k])
.unwrap()
.as_base_value()
.as_basic_value_enum();
let out_vh = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim1, dim1])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_np_linalg_svd(ctx, x1, out_u, out_s, out_vh, None);
let out_ptr = build_output_struct(ctx, vec![out_u, out_s, out_vh]);
Ok(ctx.builder.build_load(out_ptr, "SVD_Factorization_result").map(Into::into).unwrap())
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `np_linalg_inv` linalg function
pub fn call_np_linalg_inv<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_inv";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim1])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_np_linalg_inv(ctx, x1, out, None);
Ok(out)
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `np_linalg_pinv` linalg function
pub fn call_np_linalg_pinv<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_pinv";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim1, dim0])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_np_linalg_pinv(ctx, x1, out, None);
Ok(out)
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `sp_linalg_lu` linalg function
pub fn call_sp_linalg_lu<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "sp_linalg_lu";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
let out_l = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, k])
.unwrap()
.as_base_value()
.as_basic_value_enum();
let out_u = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k, dim1])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_sp_linalg_lu(ctx, x1, out_l, out_u, None);
let out_ptr = build_output_struct(ctx, vec![out_l, out_u]);
Ok(ctx.builder.build_load(out_ptr, "LU_Factorization_result").map(Into::into).unwrap())
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `np_linalg_matrix_power` linalg function
pub fn call_np_linalg_matrix_power<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
x2: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_matrix_power";
let (x1_ty, x1) = x1;
let (x2_ty, x2) = x2;
let x2 = call_float(generator, ctx, (x2_ty, x2)).unwrap();
let llvm_usize = generator.get_size_type(ctx.ctx);
if let (BasicValueEnum::PointerValue(n1), BasicValueEnum::FloatValue(n2)) = (x1, x2) {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
// Changing second parameter to a `NDArray` for uniformity in function call
let n2_array = numpy::create_ndarray_const_shape(
generator,
ctx,
elem_ty,
&[llvm_usize.const_int(1, false)],
)
.unwrap();
unsafe {
n2_array.data().set_unchecked(
ctx,
generator,
&llvm_usize.const_zero(),
n2.as_basic_value_enum(),
);
};
let n2_array = n2_array.as_base_value().as_basic_value_enum();
let outdim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let outdim1 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[outdim0, outdim1])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_np_linalg_matrix_power(ctx, x1, n2_array, out, None);
Ok(out)
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty])
}
}
/// Invokes the `np_linalg_det` linalg function
pub fn call_np_linalg_det<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "np_linalg_matrix_power";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(_) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
// Changing second parameter to a `NDArray` for uniformity in function call
let out = numpy::create_ndarray_const_shape(
generator,
ctx,
elem_ty,
&[llvm_usize.const_int(1, false)],
)
.unwrap();
extern_fns::call_np_linalg_det(ctx, x1, out.as_base_value().as_basic_value_enum(), None);
let res =
unsafe { out.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None) };
Ok(res)
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `sp_linalg_schur` linalg function
pub fn call_sp_linalg_schur<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "sp_linalg_schur";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let out_t = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
.unwrap()
.as_base_value()
.as_basic_value_enum();
let out_z = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_sp_linalg_schur(ctx, x1, out_t, out_z, None);
let out_ptr = build_output_struct(ctx, vec![out_t, out_z]);
Ok(ctx.builder.build_load(out_ptr, "Schur_Factorization_result").map(Into::into).unwrap())
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}
/// Invokes the `sp_linalg_hessenberg` linalg function
pub fn call_sp_linalg_hessenberg<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "sp_linalg_hessenberg";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let out_h = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
.unwrap()
.as_base_value()
.as_basic_value_enum();
let out_q = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
.unwrap()
.as_base_value()
.as_basic_value_enum();
extern_fns::call_sp_linalg_hessenberg(ctx, x1, out_h, out_q, None);
let out_ptr = build_output_struct(ctx, vec![out_h, out_q]);
Ok(ctx
.builder
.build_load(out_ptr, "Hessenberg_decomposition_result")
.map(Into::into)
.unwrap())
} else {
unsupported_type(ctx, FN_NAME, &[x1_ty])
}
}

View File

@ -713,12 +713,25 @@ 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: &CodeGenContext<'ctx, '_>,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: BasicTypeEnum<'ctx>,
size: Option<IntValue<'ctx>>,
) {
let size = size.unwrap_or_else(|| self.load_size(ctx, None));
self.store_data(ctx, ctx.builder.build_array_alloca(elem_ty, size, "").unwrap());
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);
}
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
@ -1704,9 +1717,10 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(len, false),
|generator, ctx, i| {
|generator, ctx, _, i| {
let (dim_idx, dim_sz) = unsafe {
(
indices.get_unchecked(ctx, generator, &i, None).into_int_value(),

View File

@ -25,6 +25,7 @@ pub struct ConcreteFuncArg {
pub name: StrRef,
pub ty: ConcreteType,
pub default_value: Option<SymbolValue>,
pub is_vararg: bool,
}
#[derive(Clone, Debug)]
@ -46,9 +47,7 @@ pub enum ConcreteTypeEnum {
TPrimitive(Primitive),
TTuple {
ty: Vec<ConcreteType>,
},
TList {
ty: ConcreteType,
is_vararg_ctx: bool,
},
TObj {
obj_id: DefinitionId,
@ -105,8 +104,16 @@ impl ConcreteTypeStore {
.iter()
.map(|arg| ConcreteFuncArg {
name: arg.name,
ty: self.from_unifier_type(unifier, primitives, arg.ty, cache),
ty: if arg.is_vararg {
let tuple_ty = unifier
.add_ty(TypeEnum::TTuple { ty: vec![arg.ty], is_vararg_ctx: true });
self.from_unifier_type(unifier, primitives, tuple_ty, cache)
} else {
self.from_unifier_type(unifier, primitives, arg.ty, cache)
},
default_value: arg.default_value.clone(),
is_vararg: arg.is_vararg,
})
.collect(),
ret: self.from_unifier_type(unifier, primitives, signature.ret, cache),
@ -161,14 +168,12 @@ impl ConcreteTypeStore {
cache.insert(ty, None);
let ty_enum = unifier.get_ty(ty);
let result = match &*ty_enum {
TypeEnum::TTuple { ty } => ConcreteTypeEnum::TTuple {
TypeEnum::TTuple { ty, is_vararg_ctx } => ConcreteTypeEnum::TTuple {
ty: ty
.iter()
.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),
is_vararg_ctx: *is_vararg_ctx,
},
TypeEnum::TObj { obj_id, fields, params } => ConcreteTypeEnum::TObj {
obj_id: *obj_id,
@ -254,15 +259,13 @@ impl ConcreteTypeStore {
*cache.get_mut(&cty).unwrap() = Some(ty);
return ty;
}
ConcreteTypeEnum::TTuple { ty } => TypeEnum::TTuple {
ConcreteTypeEnum::TTuple { ty, is_vararg_ctx } => TypeEnum::TTuple {
ty: ty
.iter()
.map(|cty| self.to_unifier_type(unifier, primitives, *cty, cache))
.collect(),
is_vararg_ctx: *is_vararg_ctx,
},
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) }
}
@ -286,6 +289,7 @@ impl ConcreteTypeStore {
name: arg.name,
ty: self.to_unifier_type(unifier, primitives, arg.ty, cache),
default_value: arg.default_value.clone(),
is_vararg: false,
})
.collect(),
ret: self.to_unifier_type(unifier, primitives, *ret, cache),

File diff suppressed because it is too large Load Diff

View File

@ -4,514 +4,97 @@ use itertools::Either;
use crate::codegen::CodeGenContext;
/// Invokes the [`tan`](https://en.cppreference.com/w/c/numeric/math/tan) function.
pub fn call_tan<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
arg: FloatValue<'ctx>,
/// 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 = "tan";
const FN_NAME: &str = $extern_fn;
let llvm_f64 = ctx.ctx.f64_type();
debug_assert_eq!(arg.get_type(), llvm_f64);
$(debug_assert_eq!($args.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 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 ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
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, &[arg.into()], name.unwrap_or_default())
.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()
}
};
}
/// 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";
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),
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");
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()
}
generate_extern_fn!("binary", call_atan2, "atan2");
generate_extern_fn!("binary", call_hypot, "hypot", "nounwind");
generate_extern_fn!("binary", call_nextafter, "nextafter", "nounwind");
/// Invokes the [`ldexp`](https://en.cppreference.com/w/c/numeric/math/ldexp) function.
pub fn call_ldexp<'ctx>(
@ -548,66 +131,61 @@ pub fn call_ldexp<'ctx>(
.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>,
/// Macro to generate `np_linalg` and `sp_linalg` functions
/// The function takes as input `NDArray` and returns ()
///
/// Arguments:
/// * `$fn_name:ident`: The identifier of the rust function to be generated
/// * `$extern_fn:literal`: Name of underlying extern function
/// * (2/3/4): Number of `NDArray` that function takes as input
///
/// Note:
/// The operands and resulting `NDArray` are both passed as input to the funcion
/// It is the responsibility of caller to ensure that output `NDArray` is properly allocated on stack
/// The function changes the content of the output `NDArray` in-place
macro_rules! generate_linalg_extern_fn {
($fn_name:ident, $extern_fn:literal, 2) => {
generate_linalg_extern_fn!($fn_name, $extern_fn, mat1, mat2);
};
($fn_name:ident, $extern_fn:literal, 3) => {
generate_linalg_extern_fn!($fn_name, $extern_fn, mat1, mat2, mat3);
};
($fn_name:ident, $extern_fn:literal, 4) => {
generate_linalg_extern_fn!($fn_name, $extern_fn, mat1, mat2, mat3, mat4);
};
($fn_name:ident, $extern_fn:literal $(,$input_matrix:ident)*) => {
#[doc = concat!("Invokes the linalg `", stringify!($extern_fn), " function." )]
pub fn $fn_name<'ctx>(
ctx: &mut CodeGenContext<'ctx, '_>
$(,$input_matrix: BasicValueEnum<'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);
){
const FN_NAME: &str = $extern_fn;
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into(), llvm_f64.into()], false);
let fn_type = ctx.ctx.void_type().fn_type(&[$($input_matrix.get_type().into()),*], false);
let func = ctx.module.add_function(FN_NAME, fn_type, None);
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
ctx.builder
.build_call(extern_fn, &[x.into(), y.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
ctx.builder.build_call(extern_fn, &[$($input_matrix.into(),)*], name.unwrap_or_default()).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()
}
generate_linalg_extern_fn!(call_np_linalg_cholesky, "np_linalg_cholesky", 2);
generate_linalg_extern_fn!(call_np_linalg_qr, "np_linalg_qr", 3);
generate_linalg_extern_fn!(call_np_linalg_svd, "np_linalg_svd", 4);
generate_linalg_extern_fn!(call_np_linalg_inv, "np_linalg_inv", 2);
generate_linalg_extern_fn!(call_np_linalg_pinv, "np_linalg_pinv", 2);
generate_linalg_extern_fn!(call_np_linalg_matrix_power, "np_linalg_matrix_power", 3);
generate_linalg_extern_fn!(call_np_linalg_det, "np_linalg_det", 2);
generate_linalg_extern_fn!(call_sp_linalg_lu, "sp_linalg_lu", 3);
generate_linalg_extern_fn!(call_sp_linalg_schur, "sp_linalg_schur", 3);
generate_linalg_extern_fn!(call_sp_linalg_hessenberg, "sp_linalg_hessenberg", 3);

View File

@ -123,11 +123,45 @@ pub trait CodeGenerator {
ctx: &mut CodeGenContext<'ctx, '_>,
target: &Expr<Option<Type>>,
value: ValueEnum<'ctx>,
value_ty: Type,
) -> Result<(), String>
where
Self: Sized,
{
gen_assign(self, ctx, target, value)
gen_assign(self, ctx, target, value, value_ty)
}
/// Generate code for an assignment expression where LHS is a `"target_list"`.
///
/// See <https://docs.python.org/3/reference/simple_stmts.html#assignment-statements>.
fn gen_assign_target_list<'ctx>(
&mut self,
ctx: &mut CodeGenContext<'ctx, '_>,
targets: &Vec<Expr<Option<Type>>>,
value: ValueEnum<'ctx>,
value_ty: Type,
) -> Result<(), String>
where
Self: Sized,
{
gen_assign_target_list(self, ctx, targets, value, value_ty)
}
/// Generate code for an item assignment.
///
/// i.e., `target[key] = value`
fn gen_setitem<'ctx>(
&mut self,
ctx: &mut CodeGenContext<'ctx, '_>,
target: &Expr<Option<Type>>,
key: &Expr<Option<Type>>,
value: ValueEnum<'ctx>,
value_ty: Type,
) -> Result<(), String>
where
Self: Sized,
{
gen_setitem(self, ctx, target, key, value, value_ty)
}
/// Generate code for a while expression.

View File

@ -1,38 +1,154 @@
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;
using int8_t = _BitInt(8);
using uint8_t = unsigned _BitInt(8);
using int32_t = _BitInt(32);
using uint32_t = unsigned _BitInt(32);
using int64_t = _BitInt(64);
using uint64_t = unsigned _BitInt(64);
# define MAX(a, b) (a > b ? a : b)
# define MIN(a, b) (a > b ? b : a)
// NDArray indices are always `uint32_t`.
using NDIndex = uint32_t;
// The type of an index or a value describing the length of a range/slice is always `int32_t`.
using SliceIndex = int32_t;
# define NULL ((void *) 0)
namespace {
template <typename T>
const T& max(const T& a, const T& b) {
return a > b ? a : b;
}
template <typename T>
const T& min(const T& a, const 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
#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; \
} \
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;
}
DEF_INT_EXP(int32_t)
DEF_INT_EXP(int64_t)
DEF_INT_EXP(uint32_t)
DEF_INT_EXP(uint64_t)
template <typename SizeT>
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;
}
int32_t __nac3_slice_index_bound(int32_t i, const int32_t len) {
template <typename SizeT>
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>
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>
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>
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];
}
}
} // namespace
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;
}
@ -44,8 +160,12 @@ int32_t __nac3_slice_index_bound(int32_t i, const int32_t 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;
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) {
@ -61,25 +181,25 @@ int32_t __nac3_range_slice_len(const int32_t start, const int32_t end, const int
// - 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,
SliceIndex __nac3_list_slice_assign_var_size(
SliceIndex dest_start,
SliceIndex dest_end,
SliceIndex dest_step,
uint8_t* dest_arr,
int32_t dest_arr_len,
int32_t src_start,
int32_t src_end,
int32_t src_step,
SliceIndex dest_arr_len,
SliceIndex src_start,
SliceIndex src_end,
SliceIndex src_step,
uint8_t* src_arr,
int32_t src_arr_len,
const int32_t size
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 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;
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,
@ -102,16 +222,16 @@ int32_t __nac3_list_slice_assign_var_size(
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)
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);
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;
}
int32_t src_ind = src_start;
int32_t dest_ind = dest_start;
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
@ -201,20 +321,12 @@ double __nac3_j0(double x) {
}
uint32_t __nac3_ndarray_calc_size(
const uint64_t *list_data,
const uint32_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;
return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
}
uint64_t __nac3_ndarray_calc_size64(
@ -223,85 +335,43 @@ uint64_t __nac3_ndarray_calc_size64(
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;
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,
uint32_t* idxs
NDIndex* 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];
}
__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,
uint32_t* idxs
NDIndex* 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];
}
__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 uint32_t* indices,
const NDIndex* 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;
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 uint32_t* indices,
const NDIndex* 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;
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
}
void __nac3_ndarray_calc_broadcast(
@ -311,27 +381,7 @@ void __nac3_ndarray_calc_broadcast(
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();
}
}
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
}
void __nac3_ndarray_calc_broadcast64(
@ -341,49 +391,24 @@ void __nac3_ndarray_calc_broadcast64(
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();
}
}
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 uint32_t *in_idx,
uint32_t *out_idx
const NDIndex* in_idx,
NDIndex* 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];
}
__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 uint32_t *in_idx,
uint32_t *out_idx
const NDIndex* in_idx,
NDIndex* 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];
}
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
}
} // extern "C"

View File

@ -579,10 +579,8 @@ 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_pi64 = llvm_i64.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_size",
@ -590,7 +588,7 @@ where
bw => unreachable!("Unsupported size type bit width: {}", bw),
};
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
&[llvm_pi64.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
false,
);
let ndarray_calc_size_fn =
@ -800,9 +798,10 @@ pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(min_ndims, false),
|generator, ctx, idx| {
|generator, ctx, _, idx| {
let idx = ctx.builder.build_int_sub(min_ndims, idx, "").unwrap();
let (lhs_dim_sz, rhs_dim_sz) = unsafe {
(

View File

@ -35,6 +35,40 @@ fn get_float_intrinsic_repr(ctx: &Context, ft: FloatType) -> &'static str {
unreachable!()
}
/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
/// intrinsic.
pub fn call_va_start<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
const FN_NAME: &str = "llvm.va_start";
let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let llvm_void = ctx.ctx.void_type();
let llvm_i8 = ctx.ctx.i8_type();
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
ctx.module.add_function(FN_NAME, fn_type, None)
});
ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
}
/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
/// intrinsic.
pub fn call_va_end<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
const FN_NAME: &str = "llvm.va_end";
let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let llvm_void = ctx.ctx.void_type();
let llvm_i8 = ctx.ctx.i8_type();
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
ctx.module.add_function(FN_NAME, fn_type, None)
});
ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
}
/// Invokes the [`llvm.stacksave`](https://llvm.org/docs/LangRef.html#llvm-stacksave-intrinsic)
/// intrinsic.
pub fn call_stacksave<'ctx>(
@ -62,145 +96,30 @@ pub fn call_stacksave<'ctx>(
pub fn call_stackrestore<'ctx>(ctx: &CodeGenContext<'ctx, '_>, ptr: PointerValue<'ctx>) {
const FN_NAME: &str = "llvm.stackrestore";
let llvm_i8 = ctx.ctx.i8_type();
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
/*
SEE https://github.com/TheDan64/inkwell/issues/496
We want `llvm.stackrestore`, but the following would generate `llvm.stackrestore.p0i8`.
```ignore
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_p0i8.into()]))
.unwrap();
```
Temp workaround by manually declaring the intrinsic with the correct function name instead.
*/
let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
let llvm_void = ctx.ctx.void_type();
let llvm_i8 = ctx.ctx.i8_type();
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
ctx.module.add_function(FN_NAME, fn_type, None)
});
ctx.builder.build_call(intrinsic_fn, &[ptr.into()], "").unwrap();
}
/// Invokes the [`llvm.abs`](https://llvm.org/docs/LangRef.html#llvm-abs-intrinsic) intrinsic.
///
/// * `src` - The value for which the absolute value is to be returned.
/// * `is_int_min_poison` - Whether `poison` is to be returned if `src` is `INT_MIN`.
pub fn call_int_abs<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
src: IntValue<'ctx>,
is_int_min_poison: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.abs";
debug_assert_eq!(is_int_min_poison.get_type().get_bit_width(), 1);
debug_assert!(is_int_min_poison.is_const());
let llvm_src_t = src.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_src_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[src.into(), is_int_min_poison.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.smax`](https://llvm.org/docs/LangRef.html#llvm-smax-intrinsic) intrinsic.
pub fn call_int_smax<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.smax";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.smin`](https://llvm.org/docs/LangRef.html#llvm-smin-intrinsic) intrinsic.
pub fn call_int_smin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.smin";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.umax`](https://llvm.org/docs/LangRef.html#llvm-umax-intrinsic) intrinsic.
pub fn call_int_umax<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.umax";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.umin`](https://llvm.org/docs/LangRef.html#llvm-umin-intrinsic) intrinsic.
pub fn call_int_umin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
a: IntValue<'ctx>,
b: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.umin";
debug_assert_eq!(a.get_type().get_bit_width(), b.get_type().get_bit_width());
let llvm_int_t = a.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[a.into(), b.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.memcpy`](https://llvm.org/docs/LangRef.html#llvm-memcpy-intrinsic) intrinsic.
///
/// * `dest` - The pointer to the destination. Must be a pointer to an integer type.
@ -280,27 +199,121 @@ pub fn call_memcpy_generic<'ctx>(
call_memcpy(ctx, dest, src, len, is_volatile);
}
/// Invokes the [`llvm.sqrt`](https://llvm.org/docs/LangRef.html#llvm-sqrt-intrinsic) intrinsic.
pub fn call_float_sqrt<'ctx>(
/// 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>,
$val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.sqrt";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
let llvm_ty = $val.get_type();
generate_llvm_intrinsic_fn_body!(ctx, name, $llvm_name, BasicValueEnum::into_float_value, llvm_ty, $val)
}
};
("float", $fn_name:ident, $llvm_name:literal, $val1:ident, $val2:ident) => {
#[doc = concat!("Invokes the [`", stringify!($llvm_name), "`](https://llvm.org/docs/LangRef.html#llvm-", stringify!($llvm_name), "-intrinsic) intrinsic." )]
pub fn $fn_name<'ctx> (
ctx: &CodeGenContext<'ctx, '_>,
$val1: FloatValue<'ctx>,
$val2: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
debug_assert_eq!($val1.get_type(), $val2.get_type());
let llvm_ty = $val1.get_type();
generate_llvm_intrinsic_fn_body!(ctx, name, $llvm_name, BasicValueEnum::into_float_value, llvm_ty, $val1, $val2)
}
};
("int", $fn_name:ident, $llvm_name:literal, $val1:ident, $val2:ident) => {
#[doc = concat!("Invokes the [`", stringify!($llvm_name), "`](https://llvm.org/docs/LangRef.html#llvm-", stringify!($llvm_name), "-intrinsic) intrinsic." )]
pub fn $fn_name<'ctx> (
ctx: &CodeGenContext<'ctx, '_>,
$val1: IntValue<'ctx>,
$val2: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
debug_assert_eq!($val1.get_type().get_bit_width(), $val2.get_type().get_bit_width());
let llvm_ty = $val1.get_type();
generate_llvm_intrinsic_fn_body!(ctx, name, $llvm_name, BasicValueEnum::into_int_value, llvm_ty, $val1, $val2)
}
};
}
/// Invokes the [`llvm.abs`](https://llvm.org/docs/LangRef.html#llvm-abs-intrinsic) intrinsic.
///
/// * `src` - The value for which the absolute value is to be returned.
/// * `is_int_min_poison` - Whether `poison` is to be returned if `src` is `INT_MIN`.
pub fn call_int_abs<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
src: IntValue<'ctx>,
is_int_min_poison: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
debug_assert_eq!(is_int_min_poison.get_type().get_bit_width(), 1);
debug_assert!(is_int_min_poison.is_const());
let src_type = src.get_type();
generate_llvm_intrinsic_fn_body!(
ctx,
name,
"abs",
BasicValueEnum::into_int_value,
src_type,
src,
is_int_min_poison
)
}
generate_llvm_intrinsic_fn!("int", call_int_smax, "smax", a, b);
generate_llvm_intrinsic_fn!("int", call_int_smin, "smin", a, b);
generate_llvm_intrinsic_fn!("int", call_int_umax, "umax", a, b);
generate_llvm_intrinsic_fn!("int", call_int_umin, "umin", a, b);
generate_llvm_intrinsic_fn!("int", call_expect, "expect", val, expected_val);
generate_llvm_intrinsic_fn!("float", call_float_sqrt, "sqrt", val);
generate_llvm_intrinsic_fn!("float", call_float_sin, "sin", val);
generate_llvm_intrinsic_fn!("float", call_float_cos, "cos", val);
generate_llvm_intrinsic_fn!("float", call_float_pow, "pow", val, power);
generate_llvm_intrinsic_fn!("float", call_float_exp, "exp", val);
generate_llvm_intrinsic_fn!("float", call_float_exp2, "exp2", val);
generate_llvm_intrinsic_fn!("float", call_float_log, "log", val);
generate_llvm_intrinsic_fn!("float", call_float_log10, "log10", val);
generate_llvm_intrinsic_fn!("float", call_float_log2, "log2", val);
generate_llvm_intrinsic_fn!("float", call_float_fabs, "fabs", src);
generate_llvm_intrinsic_fn!("float", call_float_minnum, "minnum", val, power);
generate_llvm_intrinsic_fn!("float", call_float_maxnum, "maxnum", val, power);
generate_llvm_intrinsic_fn!("float", call_float_copysign, "copysign", mag, sgn);
generate_llvm_intrinsic_fn!("float", call_float_floor, "floor", val);
generate_llvm_intrinsic_fn!("float", call_float_ceil, "ceil", val);
generate_llvm_intrinsic_fn!("float", call_float_round, "round", val);
generate_llvm_intrinsic_fn!("float", call_float_rint, "rint", val);
/// Invokes the [`llvm.powi`](https://llvm.org/docs/LangRef.html#llvm-powi-intrinsic) intrinsic.
pub fn call_float_powi<'ctx>(
@ -327,393 +340,3 @@ pub fn call_float_powi<'ctx>(
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.sin`](https://llvm.org/docs/LangRef.html#llvm-sin-intrinsic) intrinsic.
pub fn call_float_sin<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.sin";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.cos`](https://llvm.org/docs/LangRef.html#llvm-cos-intrinsic) intrinsic.
pub fn call_float_cos<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.cos";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.pow`](https://llvm.org/docs/LangRef.html#llvm-pow-intrinsic) intrinsic.
pub fn call_float_pow<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
power: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.pow";
debug_assert_eq!(val.get_type(), power.get_type());
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into(), power.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.exp`](https://llvm.org/docs/LangRef.html#llvm-exp-intrinsic) intrinsic.
pub fn call_float_exp<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.exp";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.exp2`](https://llvm.org/docs/LangRef.html#llvm-exp2-intrinsic) intrinsic.
pub fn call_float_exp2<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.exp2";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.log`](https://llvm.org/docs/LangRef.html#llvm-log-intrinsic) intrinsic.
pub fn call_float_log<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.log";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.log10`](https://llvm.org/docs/LangRef.html#llvm-log10-intrinsic) intrinsic.
pub fn call_float_log10<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.log10";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.log2`](https://llvm.org/docs/LangRef.html#llvm-log2-intrinsic) intrinsic.
pub fn call_float_log2<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.log2";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.fabs`](https://llvm.org/docs/LangRef.html#llvm-fabs-intrinsic) intrinsic.
pub fn call_float_fabs<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
src: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.fabs";
let llvm_src_t = src.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_src_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[src.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.minnum`](https://llvm.org/docs/LangRef.html#llvm-minnum-intrinsic) intrinsic.
pub fn call_float_minnum<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val1: FloatValue<'ctx>,
val2: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.minnum";
debug_assert_eq!(val1.get_type(), val2.get_type());
let llvm_float_t = val1.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val1.into(), val2.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.maxnum`](https://llvm.org/docs/LangRef.html#llvm-maxnum-intrinsic) intrinsic.
pub fn call_float_maxnum<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val1: FloatValue<'ctx>,
val2: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.maxnum";
debug_assert_eq!(val1.get_type(), val2.get_type());
let llvm_float_t = val1.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val1.into(), val2.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.copysign`](https://llvm.org/docs/LangRef.html#llvm-copysign-intrinsic) intrinsic.
pub fn call_float_copysign<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
mag: FloatValue<'ctx>,
sgn: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.copysign";
debug_assert_eq!(mag.get_type(), sgn.get_type());
let llvm_float_t = mag.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[mag.into(), sgn.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.floor`](https://llvm.org/docs/LangRef.html#llvm-floor-intrinsic) intrinsic.
pub fn call_float_floor<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.floor";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.ceil`](https://llvm.org/docs/LangRef.html#llvm-ceil-intrinsic) intrinsic.
pub fn call_float_ceil<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.ceil";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.round`](https://llvm.org/docs/LangRef.html#llvm-round-intrinsic) intrinsic.
pub fn call_float_round<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.round";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the
/// [`llvm.roundeven`](https://llvm.org/docs/LangRef.html#llvm-roundeven-intrinsic) intrinsic.
pub fn call_float_roundeven<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: FloatValue<'ctx>,
name: Option<&str>,
) -> FloatValue<'ctx> {
const FN_NAME: &str = "llvm.roundeven";
let llvm_float_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_float_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Invokes the [`llvm.expect`](https://llvm.org/docs/LangRef.html#llvm-expect-intrinsic) intrinsic.
pub fn call_expect<'ctx>(
ctx: &CodeGenContext<'ctx, '_>,
val: IntValue<'ctx>,
expected_val: IntValue<'ctx>,
name: Option<&str>,
) -> IntValue<'ctx> {
const FN_NAME: &str = "llvm.expect";
debug_assert_eq!(val.get_type().get_bit_width(), expected_val.get_type().get_bit_width());
let llvm_int_t = val.get_type();
let intrinsic_fn = Intrinsic::find(FN_NAME)
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_int_t.into()]))
.unwrap();
ctx.builder
.build_call(intrinsic_fn, &[val.into(), expected_val.into()], name.unwrap_or_default())
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}

View File

@ -68,6 +68,16 @@ pub struct CodeGenLLVMOptions {
pub target: CodeGenTargetMachineOptions,
}
impl CodeGenLLVMOptions {
/// Creates a [`TargetMachine`] using the target options specified by this struct.
///
/// See [`Target::create_target_machine`].
#[must_use]
pub fn create_target_machine(&self) -> Option<TargetMachine> {
self.target.create_target_machine(self.opt_level)
}
}
/// Additional options for code generation for the target machine.
#[derive(Clone, Debug, Eq, PartialEq)]
pub struct CodeGenTargetMachineOptions {
@ -338,6 +348,10 @@ impl WorkerRegistry {
let mut builder = context.create_builder();
let mut module = context.create_module(generator.get_name());
let target_machine = self.llvm_options.create_target_machine().unwrap();
module.set_data_layout(&target_machine.get_target_data().get_data_layout());
module.set_triple(&target_machine.get_triple());
module.add_basic_value_flag(
"Debug Info Version",
inkwell::module::FlagBehavior::Warning,
@ -361,6 +375,10 @@ impl WorkerRegistry {
errors.insert(e);
// create a new empty module just to continue codegen and collect errors
module = context.create_module(&format!("{}_recover", generator.get_name()));
let target_machine = self.llvm_options.create_target_machine().unwrap();
module.set_data_layout(&target_machine.get_target_data().get_data_layout());
module.set_triple(&target_machine.get_triple());
}
}
*self.task_count.lock() -= 1;
@ -426,7 +444,7 @@ pub struct CodeGenTask {
fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
ctx: &'ctx Context,
module: &Module<'ctx>,
generator: &mut G,
generator: &G,
unifier: &mut Unifier,
top_level: &TopLevelContext,
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
@ -456,6 +474,20 @@ 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(
@ -506,8 +538,10 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
};
return ty;
}
TTuple { ty } => {
TTuple { ty, is_vararg_ctx } => {
// a struct with fields in the order present in the tuple
assert!(!is_vararg_ctx, "Tuples in vararg context must be instantiated with the correct number of arguments before calling get_llvm_type");
let fields = ty
.iter()
.map(|ty| {
@ -516,12 +550,6 @@ 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()),
};
@ -543,7 +571,7 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
fn get_llvm_abi_type<'ctx, G: CodeGenerator + ?Sized>(
ctx: &'ctx Context,
module: &Module<'ctx>,
generator: &mut G,
generator: &G,
unifier: &mut Unifier,
top_level: &TopLevelContext,
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
@ -581,6 +609,40 @@ fn need_sret(ty: BasicTypeEnum) -> bool {
need_sret_impl(ty, true)
}
/// Returns the [`BasicTypeEnum`] representing a `va_list` struct for variadic arguments.
fn get_llvm_valist_type<'ctx>(ctx: &'ctx Context, triple: &TargetTriple) -> BasicTypeEnum<'ctx> {
let triple = TargetMachine::normalize_triple(triple);
let triple = triple.as_str().to_str().unwrap();
let arch = triple.split('-').next().unwrap();
let llvm_pi8 = ctx.i8_type().ptr_type(AddressSpace::default());
// Referenced from parseArch() in llvm/lib/Support/Triple.cpp
match arch {
"i386" | "i486" | "i586" | "i686" | "riscv32" => {
ctx.i8_type().ptr_type(AddressSpace::default()).into()
}
"amd64" | "x86_64" | "x86_64h" => {
let llvm_i32 = ctx.i32_type();
let va_list_tag = ctx.opaque_struct_type("struct.__va_list_tag");
va_list_tag.set_body(
&[llvm_i32.into(), llvm_i32.into(), llvm_pi8.into(), llvm_pi8.into()],
false,
);
va_list_tag.into()
}
"armv7" => {
let va_list = ctx.opaque_struct_type("struct.__va_list");
va_list.set_body(&[llvm_pi8.into()], false);
va_list.into()
}
triple => {
todo!("Unsupported platform for varargs: {triple}")
}
}
}
/// Implementation for generating LLVM IR for a function.
pub fn gen_func_impl<
'ctx,
@ -692,6 +754,7 @@ pub fn gen_func_impl<
name: arg.name,
ty: task.store.to_unifier_type(&mut unifier, &primitives, arg.ty, &mut cache),
default_value: arg.default_value.clone(),
is_vararg: arg.is_vararg,
})
.collect_vec(),
task.store.to_unifier_type(&mut unifier, &primitives, *ret, &mut cache),
@ -714,7 +777,10 @@ pub fn gen_func_impl<
let has_sret = ret_type.map_or(false, |ty| need_sret(ty));
let mut params = args
.iter()
.filter(|arg| !arg.is_vararg)
.map(|arg| {
debug_assert!(!arg.is_vararg);
get_llvm_abi_type(
context,
&module,
@ -733,9 +799,12 @@ pub fn gen_func_impl<
params.insert(0, ret_type.unwrap().ptr_type(AddressSpace::default()).into());
}
debug_assert!(matches!(args.iter().filter(|arg| arg.is_vararg).count(), 0..=1));
let vararg_arg = args.iter().find(|arg| arg.is_vararg);
let fn_type = match ret_type {
Some(ret_type) if !has_sret => ret_type.fn_type(&params, false),
_ => context.void_type().fn_type(&params, false),
Some(ret_type) if !has_sret => ret_type.fn_type(&params, vararg_arg.is_some()),
_ => context.void_type().fn_type(&params, vararg_arg.is_some()),
};
let symbol = &task.symbol_name;
@ -765,7 +834,9 @@ pub fn gen_func_impl<
let mut var_assignment = HashMap::new();
let offset = u32::from(has_sret);
for (n, arg) in args.iter().enumerate() {
// Store non-vararg argument values into local variables
for (n, arg) in args.iter().enumerate().filter(|(_, arg)| !arg.is_vararg) {
let param = fn_val.get_nth_param((n as u32) + offset).unwrap();
let local_type = get_llvm_type(
context,
@ -798,6 +869,8 @@ pub fn gen_func_impl<
var_assignment.insert(arg.name, (alloca, None, 0));
}
// TODO: Save vararg parameters as list
let return_buffer = if has_sret {
Some(fn_val.get_nth_param(0).unwrap().into_pointer_value())
} else {
@ -1020,3 +1093,9 @@ fn gen_in_range_check<'ctx>(
ctx.builder.build_int_compare(IntPredicate::SLT, lo, hi, "cmp").unwrap()
}
/// Returns the internal name for the `va_count` argument, used to indicate the number of arguments
/// passed to the variadic function.
fn get_va_count_arg_name(arg_name: StrRef) -> StrRef {
format!("__{}_va_count", &arg_name).into()
}

View File

@ -11,8 +11,7 @@ use crate::{
call_ndarray_calc_broadcast_index, call_ndarray_calc_nd_indices,
call_ndarray_calc_size,
},
llvm_intrinsics,
llvm_intrinsics::call_memcpy_generic,
llvm_intrinsics::{self, call_memcpy_generic},
stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
CodeGenContext, CodeGenerator,
},
@ -22,14 +21,20 @@ use crate::{
numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
DefinitionId,
},
typecheck::typedef::{FunSignature, Type, TypeEnum},
typecheck::{
magic_methods::Binop,
typedef::{FunSignature, Type, TypeEnum},
},
};
use inkwell::types::{AnyTypeEnum, BasicTypeEnum, PointerType};
use inkwell::{
types::BasicType,
values::{BasicValueEnum, IntValue, PointerValue},
AddressSpace, IntPredicate, OptimizationLevel,
};
use inkwell::{
types::{AnyTypeEnum, BasicTypeEnum, PointerType},
values::BasicValue,
};
use nac3parser::ast::{Operator, StrRef};
/// Creates an uninitialized `NDArray` instance.
@ -84,9 +89,10 @@ where
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(shape_len, false),
|generator, ctx, i| {
|generator, ctx, _, i| {
let shape_dim = shape_data_fn(generator, ctx, shape, i)?;
debug_assert!(shape_dim.get_type().get_bit_width() <= llvm_usize.get_bit_width());
@ -129,9 +135,10 @@ where
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(shape_len, false),
|generator, ctx, i| {
|generator, ctx, _, i| {
let shape_dim = shape_data_fn(generator, ctx, shape, i)?;
debug_assert!(shape_dim.get_type().get_bit_width() <= llvm_usize.get_bit_width());
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
@ -155,7 +162,7 @@ where
///
/// * `elem_ty` - The element type of the `NDArray`.
/// * `shape` - The shape of the `NDArray`, represented am array of [`IntValue`]s.
fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
pub fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
@ -163,10 +170,11 @@ fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
) -> Result<NDArrayValue<'ctx>, String> {
let llvm_usize = generator.get_size_type(ctx.ctx);
for shape_dim in shape {
for &shape_dim in shape {
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
let shape_dim_gez = ctx
.builder
.build_int_compare(IntPredicate::SGE, *shape_dim, llvm_usize.const_zero(), "")
.build_int_compare(IntPredicate::SGE, shape_dim, llvm_usize.const_zero(), "")
.unwrap();
ctx.make_assert(
@ -189,7 +197,8 @@ fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
let ndarray_num_dims = ndarray.load_ndims(ctx);
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
for (i, shape_dim) in shape.iter().enumerate() {
for (i, &shape_dim) in shape.iter().enumerate() {
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
let ndarray_dim = unsafe {
ndarray.dim_sizes().ptr_offset_unchecked(
ctx,
@ -199,7 +208,7 @@ fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
)
};
ctx.builder.build_store(ndarray_dim, *shape_dim).unwrap();
ctx.builder.build_store(ndarray_dim, shape_dim).unwrap();
}
let ndarray = ndarray_init_data(generator, ctx, elem_ty, ndarray);
@ -286,23 +295,69 @@ fn ndarray_one_value<'ctx, G: CodeGenerator + ?Sized>(
///
/// * `elem_ty` - The element type of the `NDArray`.
/// * `shape` - The `shape` parameter used to construct the `NDArray`.
///
/// ### Notes on `shape`
///
/// Just like numpy, the `shape` argument can be:
/// 1. A list of `int32`; e.g., `np.empty([600, 800, 3])`
/// 2. A tuple of `int32`; e.g., `np.empty((600, 800, 3))`
/// 3. A scalar `int32`; e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
///
/// See also [`typecheck::type_inferencer::fold_numpy_function_call_shape_argument`] to
/// learn how `shape` gets from being a Python user expression to here.
fn call_ndarray_empty_impl<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
shape: ListValue<'ctx>,
shape: BasicValueEnum<'ctx>,
) -> Result<NDArrayValue<'ctx>, String> {
let llvm_usize = generator.get_size_type(ctx.ctx);
match shape {
BasicValueEnum::PointerValue(shape_list_ptr)
if ListValue::is_instance(shape_list_ptr, llvm_usize).is_ok() =>
{
// 1. A list of ints; e.g., `np.empty([600, 800, 3])`
let shape_list = ListValue::from_ptr_val(shape_list_ptr, llvm_usize, None);
create_ndarray_dyn_shape(
generator,
ctx,
elem_ty,
&shape,
|_, ctx, shape| Ok(shape.load_size(ctx, None)),
|generator, ctx, shape, idx| {
Ok(shape.data().get(ctx, generator, &idx, None).into_int_value())
&shape_list,
|_, ctx, shape_list| Ok(shape_list.load_size(ctx, None)),
|generator, ctx, shape_list, idx| {
Ok(shape_list.data().get(ctx, generator, &idx, None).into_int_value())
},
)
}
BasicValueEnum::StructValue(shape_tuple) => {
// 2. A tuple of ints; e.g., `np.empty((600, 800, 3))`
// Read [`codegen::expr::gen_expr`] to see how `nac3core` translates a Python tuple into LLVM.
// Get the length/size of the tuple, which also happens to be the value of `ndims`.
let ndims = shape_tuple.get_type().count_fields();
let mut shape = Vec::with_capacity(ndims as usize);
for dim_i in 0..ndims {
let dim = ctx
.builder
.build_extract_value(shape_tuple, dim_i, format!("dim{dim_i}").as_str())
.unwrap()
.into_int_value();
shape.push(dim);
}
create_ndarray_const_shape(generator, ctx, elem_ty, shape.as_slice())
}
BasicValueEnum::IntValue(shape_int) => {
// 3. A scalar int; e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
create_ndarray_const_shape(generator, ctx, elem_ty, &[shape_int])
}
_ => unreachable!(),
}
}
/// Generates LLVM IR for populating the entire `NDArray` using a lambda with its flattened index as
/// its input.
@ -332,9 +387,10 @@ where
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(ndarray_num_elems, false),
|generator, ctx, i| {
|generator, ctx, _, i| {
let elem = unsafe { ndarray.data().ptr_offset_unchecked(ctx, generator, &i, None) };
let value = value_fn(generator, ctx, i)?;
@ -486,7 +542,7 @@ fn call_ndarray_zeros_impl<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
shape: ListValue<'ctx>,
shape: BasicValueEnum<'ctx>,
) -> Result<NDArrayValue<'ctx>, String> {
let supported_types = [
ctx.primitives.int32,
@ -517,7 +573,7 @@ fn call_ndarray_ones_impl<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
shape: ListValue<'ctx>,
shape: BasicValueEnum<'ctx>,
) -> Result<NDArrayValue<'ctx>, String> {
let supported_types = [
ctx.primitives.int32,
@ -548,7 +604,7 @@ fn call_ndarray_full_impl<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
shape: ListValue<'ctx>,
shape: BasicValueEnum<'ctx>,
fill_value: BasicValueEnum<'ctx>,
) -> Result<NDArrayValue<'ctx>, String> {
let ndarray = call_ndarray_empty_impl(generator, ctx, elem_ty, shape)?;
@ -653,11 +709,12 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
gen_for_range_callback(
generator,
ctx,
None,
true,
|_, _| Ok(llvm_usize.const_zero()),
(|_, ctx| Ok(src_lst.load_size(ctx, None)), false),
|_, _| Ok(llvm_usize.const_int(1, false)),
|generator, ctx, i| {
|generator, ctx, _, i| {
let offset = ctx.builder.build_int_mul(stride, i, "").unwrap();
let dst_ptr =
@ -691,6 +748,8 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
_ => {
let lst_len = src_lst.load_size(ctx, None);
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
let sizeof_elem = ctx.builder.build_int_cast(sizeof_elem, llvm_usize, "").unwrap();
let cpy_len = ctx
.builder
.build_int_mul(
@ -891,11 +950,12 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
gen_for_range_callback(
generator,
ctx,
None,
true,
|_, _| Ok(llvm_usize.const_zero()),
(|_, _| Ok(stop), false),
|_, _| Ok(llvm_usize.const_int(1, false)),
|generator, ctx, _| {
|generator, ctx, _, _| {
let plist_plist_i8 = make_llvm_list(llvm_plist_i8.into())
.ptr_type(AddressSpace::default());
@ -1034,13 +1094,17 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
// If there are no (remaining) slice expressions, memcpy the entire dimension
if slices.is_empty() {
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
let stride = call_ndarray_calc_size(
generator,
ctx,
&src_arr.dim_sizes(),
(Some(llvm_usize.const_int(dim, false)), None),
);
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
let stride =
ctx.builder.build_int_z_extend_or_bit_cast(stride, sizeof_elem.get_type(), "").unwrap();
let cpy_len = ctx.builder.build_int_mul(stride, sizeof_elem, "").unwrap();
call_memcpy_generic(ctx, dst_slice_ptr, src_slice_ptr, cpy_len, llvm_i1.const_zero());
@ -1074,11 +1138,12 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
gen_for_range_callback(
generator,
ctx,
None,
false,
|_, _| Ok(start),
(|_, _| Ok(stop), true),
|_, _| Ok(step),
|generator, ctx, src_i| {
|generator, ctx, _, src_i| {
// Calculate the offset of the active slice
let src_data_offset = ctx.builder.build_int_mul(src_stride, src_i, "").unwrap();
let dst_i =
@ -1191,9 +1256,10 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_int(slices.len() as u64, false),
(this.load_ndims(ctx), false),
|generator, ctx, idx| {
|generator, ctx, _, idx| {
unsafe {
let dim_sz = this.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None);
ndarray.dim_sizes().set_typed_unchecked(ctx, generator, &idx, dim_sz);
@ -1595,9 +1661,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_i32.const_zero(),
(common_dim, false),
|generator, ctx, i| {
|generator, ctx, _, i| {
let i = ctx.builder.build_int_truncate(i, llvm_i32, "").unwrap();
let ab_idx = generator.gen_array_var_alloc(
@ -1629,10 +1696,9 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
generator,
ctx,
(&Some(elem_ty), a),
Operator::Mult,
Binop::normal(Operator::Mult),
(&Some(elem_ty), b),
ctx.current_loc,
false,
)?
.unwrap()
.to_basic_value_enum(ctx, generator, elem_ty)?;
@ -1642,10 +1708,9 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
generator,
ctx,
(&Some(elem_ty), result),
Operator::Add,
Binop::normal(Operator::Add),
(&Some(elem_ty), a_mul_b),
ctx.current_loc,
false,
)?
.unwrap()
.to_basic_value_enum(ctx, generator, elem_ty)?;
@ -1674,16 +1739,10 @@ pub fn gen_ndarray_empty<'ctx>(
assert!(obj.is_none());
assert_eq!(args.len(), 1);
let llvm_usize = generator.get_size_type(context.ctx);
let shape_ty = fun.0.args[0].ty;
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
call_ndarray_empty_impl(
generator,
context,
context.primitives.float,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
)
call_ndarray_empty_impl(generator, context, context.primitives.float, shape_arg)
.map(NDArrayValue::into)
}
@ -1698,16 +1757,10 @@ pub fn gen_ndarray_zeros<'ctx>(
assert!(obj.is_none());
assert_eq!(args.len(), 1);
let llvm_usize = generator.get_size_type(context.ctx);
let shape_ty = fun.0.args[0].ty;
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
call_ndarray_zeros_impl(
generator,
context,
context.primitives.float,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
)
call_ndarray_zeros_impl(generator, context, context.primitives.float, shape_arg)
.map(NDArrayValue::into)
}
@ -1722,16 +1775,10 @@ pub fn gen_ndarray_ones<'ctx>(
assert!(obj.is_none());
assert_eq!(args.len(), 1);
let llvm_usize = generator.get_size_type(context.ctx);
let shape_ty = fun.0.args[0].ty;
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
call_ndarray_ones_impl(
generator,
context,
context.primitives.float,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
)
call_ndarray_ones_impl(generator, context, context.primitives.float, shape_arg)
.map(NDArrayValue::into)
}
@ -1746,20 +1793,13 @@ pub fn gen_ndarray_full<'ctx>(
assert!(obj.is_none());
assert_eq!(args.len(), 2);
let llvm_usize = generator.get_size_type(context.ctx);
let shape_ty = fun.0.args[0].ty;
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
let fill_value_ty = fun.0.args[1].ty;
let fill_value_arg =
args[1].1.clone().to_basic_value_enum(context, generator, fill_value_ty)?;
call_ndarray_full_impl(
generator,
context,
fill_value_ty,
ListValue::from_ptr_val(shape_arg.into_pointer_value(), llvm_usize, None),
fill_value_arg,
)
call_ndarray_full_impl(generator, context, fill_value_ty, shape_arg, fill_value_arg)
.map(NDArrayValue::into)
}
@ -1779,10 +1819,15 @@ pub fn gen_ndarray_array<'ctx>(
unpack_ndarray_var_tys(&mut context.unifier, obj_ty).0
}
TypeEnum::TList { ty } => {
let mut ty = *ty;
while let TypeEnum::TList { ty: elem_ty } = &*context.unifier.get_ty_immutable(ty) {
ty = *elem_ty;
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
let mut ty = *params.iter().next().unwrap().1;
while let TypeEnum::TObj { obj_id, params, .. } = &*context.unifier.get_ty_immutable(ty)
{
if *obj_id != PrimDef::List.id() {
break;
}
ty = *params.iter().next().unwrap().1;
}
ty
}
@ -1984,3 +2029,493 @@ pub fn gen_ndarray_fill<'ctx>(
Ok(())
}
/// Generates LLVM IR for `ndarray.transpose`.
pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "ndarray_transpose";
let (x1_ty, x1) = x1;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
// Dimensions are reversed in the transposed array
let out = create_ndarray_dyn_shape(
generator,
ctx,
elem_ty,
&n1,
|_, ctx, n| Ok(n.load_ndims(ctx)),
|generator, ctx, n, idx| {
let new_idx = ctx.builder.build_int_sub(n.load_ndims(ctx), idx, "").unwrap();
let new_idx = ctx
.builder
.build_int_sub(new_idx, new_idx.get_type().const_int(1, false), "")
.unwrap();
unsafe { Ok(n.dim_sizes().get_typed_unchecked(ctx, generator, &new_idx, None)) }
},
)
.unwrap();
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(n_sz, false),
|generator, ctx, _, idx| {
let elem = unsafe { n1.data().get_unchecked(ctx, generator, &idx, None) };
let new_idx = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
let rem_idx = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
ctx.builder.build_store(new_idx, llvm_usize.const_zero()).unwrap();
ctx.builder.build_store(rem_idx, idx).unwrap();
// Incrementally calculate the new index in the transposed array
// For each index, we first decompose it into the n-dims and use those to reconstruct the new index
// The formula used for indexing is:
// idx = dim_n * ( ... (dim2 * (dim0 * dim1) + dim1) + dim2 ... ) + dim_n
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(n1.load_ndims(ctx), false),
|generator, ctx, _, ndim| {
let ndim_rev =
ctx.builder.build_int_sub(n1.load_ndims(ctx), ndim, "").unwrap();
let ndim_rev = ctx
.builder
.build_int_sub(ndim_rev, llvm_usize.const_int(1, false), "")
.unwrap();
let dim = unsafe {
n1.dim_sizes().get_typed_unchecked(ctx, generator, &ndim_rev, None)
};
let rem_idx_val =
ctx.builder.build_load(rem_idx, "").unwrap().into_int_value();
let new_idx_val =
ctx.builder.build_load(new_idx, "").unwrap().into_int_value();
let add_component =
ctx.builder.build_int_unsigned_rem(rem_idx_val, dim, "").unwrap();
let rem_idx_val =
ctx.builder.build_int_unsigned_div(rem_idx_val, dim, "").unwrap();
let new_idx_val = ctx.builder.build_int_mul(new_idx_val, dim, "").unwrap();
let new_idx_val =
ctx.builder.build_int_add(new_idx_val, add_component, "").unwrap();
ctx.builder.build_store(rem_idx, rem_idx_val).unwrap();
ctx.builder.build_store(new_idx, new_idx_val).unwrap();
Ok(())
},
llvm_usize.const_int(1, false),
)?;
let new_idx_val = ctx.builder.build_load(new_idx, "").unwrap().into_int_value();
unsafe { out.data().set_unchecked(ctx, generator, &new_idx_val, elem) };
Ok(())
},
llvm_usize.const_int(1, false),
)?;
Ok(out.as_base_value().into())
} else {
unreachable!(
"{FN_NAME}() not supported for '{}'",
format!("'{}'", ctx.unifier.stringify(x1_ty))
)
}
}
/// LLVM-typed implementation for generating the implementation for `ndarray.reshape`.
///
/// * `x1` - `NDArray` to reshape.
/// * `shape` - The `shape` parameter used to construct the new `NDArray`.
/// Just like numpy, the `shape` argument can be:
/// 1. A list of `int32`; e.g., `np.reshape(arr, [600, -1, 3])`
/// 2. A tuple of `int32`; e.g., `np.reshape(arr, (-1, 800, 3))`
/// 3. A scalar `int32`; e.g., `np.reshape(arr, 3)`
/// Note that unlike other generating functions, one of the dimesions in the shape can be negative
pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
shape: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "ndarray_reshape";
let (x1_ty, x1) = x1;
let (_, shape) = shape;
let llvm_usize = generator.get_size_type(ctx.ctx);
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
let acc = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
let num_neg = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
ctx.builder.build_store(acc, llvm_usize.const_int(1, false)).unwrap();
ctx.builder.build_store(num_neg, llvm_usize.const_zero()).unwrap();
let out = match shape {
BasicValueEnum::PointerValue(shape_list_ptr)
if ListValue::is_instance(shape_list_ptr, llvm_usize).is_ok() =>
{
// 1. A list of ints; e.g., `np.reshape(arr, [int64(600), int64(800, -1])`
let shape_list = ListValue::from_ptr_val(shape_list_ptr, llvm_usize, None);
// Check for -1 in dimensions
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(shape_list.load_size(ctx, None), false),
|generator, ctx, _, idx| {
let ele =
shape_list.data().get(ctx, generator, &idx, None).into_int_value();
let ele = ctx.builder.build_int_s_extend(ele, llvm_usize, "").unwrap();
gen_if_else_expr_callback(
generator,
ctx,
|_, ctx| {
Ok(ctx
.builder
.build_int_compare(
IntPredicate::SLT,
ele,
llvm_usize.const_zero(),
"",
)
.unwrap())
},
|_, ctx| -> Result<Option<IntValue>, String> {
let num_neg_value =
ctx.builder.build_load(num_neg, "").unwrap().into_int_value();
let num_neg_value = ctx
.builder
.build_int_add(
num_neg_value,
llvm_usize.const_int(1, false),
"",
)
.unwrap();
ctx.builder.build_store(num_neg, num_neg_value).unwrap();
Ok(None)
},
|_, ctx| {
let acc_value =
ctx.builder.build_load(acc, "").unwrap().into_int_value();
let acc_value =
ctx.builder.build_int_mul(acc_value, ele, "").unwrap();
ctx.builder.build_store(acc, acc_value).unwrap();
Ok(None)
},
)?;
Ok(())
},
llvm_usize.const_int(1, false),
)?;
let acc_val = ctx.builder.build_load(acc, "").unwrap().into_int_value();
let rem = ctx.builder.build_int_unsigned_div(n_sz, acc_val, "").unwrap();
// Generate the output shape by filling -1 with `rem`
create_ndarray_dyn_shape(
generator,
ctx,
elem_ty,
&shape_list,
|_, ctx, _| Ok(shape_list.load_size(ctx, None)),
|generator, ctx, shape_list, idx| {
let dim =
shape_list.data().get(ctx, generator, &idx, None).into_int_value();
let dim = ctx.builder.build_int_s_extend(dim, llvm_usize, "").unwrap();
Ok(gen_if_else_expr_callback(
generator,
ctx,
|_, ctx| {
Ok(ctx
.builder
.build_int_compare(
IntPredicate::SLT,
dim,
llvm_usize.const_zero(),
"",
)
.unwrap())
},
|_, _| Ok(Some(rem)),
|_, _| Ok(Some(dim)),
)?
.unwrap()
.into_int_value())
},
)
}
BasicValueEnum::StructValue(shape_tuple) => {
// 2. A tuple of `int32`; e.g., `np.reshape(arr, (-1, 800, 3))`
let ndims = shape_tuple.get_type().count_fields();
// Check for -1 in dims
for dim_i in 0..ndims {
let dim = ctx
.builder
.build_extract_value(shape_tuple, dim_i, "")
.unwrap()
.into_int_value();
let dim = ctx.builder.build_int_s_extend(dim, llvm_usize, "").unwrap();
gen_if_else_expr_callback(
generator,
ctx,
|_, ctx| {
Ok(ctx
.builder
.build_int_compare(
IntPredicate::SLT,
dim,
llvm_usize.const_zero(),
"",
)
.unwrap())
},
|_, ctx| -> Result<Option<IntValue>, String> {
let num_negs =
ctx.builder.build_load(num_neg, "").unwrap().into_int_value();
let num_negs = ctx
.builder
.build_int_add(num_negs, llvm_usize.const_int(1, false), "")
.unwrap();
ctx.builder.build_store(num_neg, num_negs).unwrap();
Ok(None)
},
|_, ctx| {
let acc_val = ctx.builder.build_load(acc, "").unwrap().into_int_value();
let acc_val = ctx.builder.build_int_mul(acc_val, dim, "").unwrap();
ctx.builder.build_store(acc, acc_val).unwrap();
Ok(None)
},
)?;
}
let acc_val = ctx.builder.build_load(acc, "").unwrap().into_int_value();
let rem = ctx.builder.build_int_unsigned_div(n_sz, acc_val, "").unwrap();
let mut shape = Vec::with_capacity(ndims as usize);
// Reconstruct shape filling negatives with rem
for dim_i in 0..ndims {
let dim = ctx
.builder
.build_extract_value(shape_tuple, dim_i, "")
.unwrap()
.into_int_value();
let dim = ctx.builder.build_int_s_extend(dim, llvm_usize, "").unwrap();
let dim = gen_if_else_expr_callback(
generator,
ctx,
|_, ctx| {
Ok(ctx
.builder
.build_int_compare(
IntPredicate::SLT,
dim,
llvm_usize.const_zero(),
"",
)
.unwrap())
},
|_, _| Ok(Some(rem)),
|_, _| Ok(Some(dim)),
)?
.unwrap()
.into_int_value();
shape.push(dim);
}
create_ndarray_const_shape(generator, ctx, elem_ty, shape.as_slice())
}
BasicValueEnum::IntValue(shape_int) => {
// 3. A scalar `int32`; e.g., `np.reshape(arr, 3)`
let shape_int = gen_if_else_expr_callback(
generator,
ctx,
|_, ctx| {
Ok(ctx
.builder
.build_int_compare(
IntPredicate::SLT,
shape_int,
llvm_usize.const_zero(),
"",
)
.unwrap())
},
|_, _| Ok(Some(n_sz)),
|_, ctx| {
Ok(Some(ctx.builder.build_int_s_extend(shape_int, llvm_usize, "").unwrap()))
},
)?
.unwrap()
.into_int_value();
create_ndarray_const_shape(generator, ctx, elem_ty, &[shape_int])
}
_ => unreachable!(),
}
.unwrap();
// Only allow one dimension to be negative
let num_negs = ctx.builder.build_load(num_neg, "").unwrap().into_int_value();
ctx.make_assert(
generator,
ctx.builder
.build_int_compare(IntPredicate::ULT, num_negs, llvm_usize.const_int(2, false), "")
.unwrap(),
"0:ValueError",
"can only specify one unknown dimension",
[None, None, None],
ctx.current_loc,
);
// The new shape must be compatible with the old shape
let out_sz = call_ndarray_calc_size(generator, ctx, &out.dim_sizes(), (None, None));
ctx.make_assert(
generator,
ctx.builder.build_int_compare(IntPredicate::EQ, out_sz, n_sz, "").unwrap(),
"0:ValueError",
"cannot reshape array of size {0} into provided shape of size {1}",
[Some(n_sz), Some(out_sz), None],
ctx.current_loc,
);
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(n_sz, false),
|generator, ctx, _, idx| {
let elem = unsafe { n1.data().get_unchecked(ctx, generator, &idx, None) };
unsafe { out.data().set_unchecked(ctx, generator, &idx, elem) };
Ok(())
},
llvm_usize.const_int(1, false),
)?;
Ok(out.as_base_value().into())
} else {
unreachable!(
"{FN_NAME}() not supported for '{}'",
format!("'{}'", ctx.unifier.stringify(x1_ty))
)
}
}
/// Generates LLVM IR for `ndarray.dot`.
/// Calculate inner product of two vectors or literals
/// For matrix multiplication use `np_matmul`
///
/// The input `NDArray` are flattened and treated as 1D
/// The operation is equivalent to `np.dot(arr1.ravel(), arr2.ravel())`
pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
x1: (Type, BasicValueEnum<'ctx>),
x2: (Type, BasicValueEnum<'ctx>),
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "ndarray_dot";
let (x1_ty, x1) = x1;
let (_, x2) = x2;
let llvm_usize = generator.get_size_type(ctx.ctx);
match (x1, x2) {
(BasicValueEnum::PointerValue(n1), BasicValueEnum::PointerValue(n2)) => {
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n2 = NDArrayValue::from_ptr_val(n2, llvm_usize, None);
let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
ctx.make_assert(
generator,
ctx.builder.build_int_compare(IntPredicate::EQ, n1_sz, n2_sz, "").unwrap(),
"0:ValueError",
"shapes ({0}), ({1}) not aligned",
[Some(n1_sz), Some(n2_sz), None],
ctx.current_loc,
);
let identity =
unsafe { n1.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None) };
let acc = ctx.builder.build_alloca(identity.get_type(), "").unwrap();
ctx.builder.build_store(acc, identity.get_type().const_zero()).unwrap();
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(n1_sz, false),
|generator, ctx, _, idx| {
let elem1 = unsafe { n1.data().get_unchecked(ctx, generator, &idx, None) };
let elem2 = unsafe { n2.data().get_unchecked(ctx, generator, &idx, None) };
let product = match elem1 {
BasicValueEnum::IntValue(e1) => ctx
.builder
.build_int_mul(e1, elem2.into_int_value(), "")
.unwrap()
.as_basic_value_enum(),
BasicValueEnum::FloatValue(e1) => ctx
.builder
.build_float_mul(e1, elem2.into_float_value(), "")
.unwrap()
.as_basic_value_enum(),
_ => unreachable!(),
};
let acc_val = ctx.builder.build_load(acc, "").unwrap();
let acc_val = match acc_val {
BasicValueEnum::IntValue(e1) => ctx
.builder
.build_int_add(e1, product.into_int_value(), "")
.unwrap()
.as_basic_value_enum(),
BasicValueEnum::FloatValue(e1) => ctx
.builder
.build_float_add(e1, product.into_float_value(), "")
.unwrap()
.as_basic_value_enum(),
_ => unreachable!(),
};
ctx.builder.build_store(acc, acc_val).unwrap();
Ok(())
},
llvm_usize.const_int(1, false),
)?;
let acc_val = ctx.builder.build_load(acc, "").unwrap();
Ok(acc_val)
}
(BasicValueEnum::IntValue(e1), BasicValueEnum::IntValue(e2)) => {
Ok(ctx.builder.build_int_mul(e1, e2, "").unwrap().as_basic_value_enum())
}
(BasicValueEnum::FloatValue(e1), BasicValueEnum::FloatValue(e2)) => {
Ok(ctx.builder.build_float_mul(e1, e2, "").unwrap().as_basic_value_enum())
}
_ => unreachable!(
"{FN_NAME}() not supported for '{}'",
format!("'{}'", ctx.unifier.stringify(x1_ty))
),
}
}

View File

@ -10,8 +10,11 @@ use crate::{
expr::gen_binop_expr,
gen_in_range_check,
},
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId, TopLevelDef},
typecheck::typedef::{FunSignature, Type, TypeEnum},
toplevel::{DefinitionId, TopLevelDef},
typecheck::{
magic_methods::Binop,
typedef::{iter_type_vars, FunSignature, Type, TypeEnum},
},
};
use inkwell::{
attributes::{Attribute, AttributeLoc},
@ -20,10 +23,10 @@ use inkwell::{
values::{BasicValue, BasicValueEnum, FunctionValue, IntValue, PointerValue},
IntPredicate,
};
use itertools::{izip, Itertools};
use nac3parser::ast::{
Constant, ExcepthandlerKind, Expr, ExprKind, Location, Stmt, StmtKind, StrRef,
};
use std::convert::TryFrom;
/// See [`CodeGenerator::gen_var_alloc`].
pub fn gen_var<'ctx>(
@ -94,8 +97,6 @@ pub fn gen_store_target<'ctx, G: CodeGenerator>(
pattern: &Expr<Option<Type>>,
name: Option<&str>,
) -> Result<Option<PointerValue<'ctx>>, String> {
let llvm_usize = generator.get_size_type(ctx.ctx);
// very similar to gen_expr, but we don't do an extra load at the end
// and we flatten nested tuples
Ok(Some(match &pattern.node {
@ -113,7 +114,7 @@ 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 {
@ -134,65 +135,6 @@ pub fn gen_store_target<'ctx, G: CodeGenerator>(
}
.unwrap()
}
ExprKind::Subscript { value, slice, .. } => {
match ctx.unifier.get_ty_immutable(value.custom.unwrap()).as_ref() {
TypeEnum::TList { .. } => {
let v = generator
.gen_expr(ctx, value)?
.unwrap()
.to_basic_value_enum(ctx, generator, value.custom.unwrap())?
.into_pointer_value();
let v = ListValue::from_ptr_val(v, llvm_usize, None);
let len = v.load_size(ctx, Some("len"));
let raw_index = generator
.gen_expr(ctx, slice)?
.unwrap()
.to_basic_value_enum(ctx, generator, slice.custom.unwrap())?
.into_int_value();
let raw_index = ctx
.builder
.build_int_s_extend(raw_index, generator.get_size_type(ctx.ctx), "sext")
.unwrap();
// handle negative index
let is_negative = ctx
.builder
.build_int_compare(
IntPredicate::SLT,
raw_index,
generator.get_size_type(ctx.ctx).const_zero(),
"is_neg",
)
.unwrap();
let adjusted = ctx.builder.build_int_add(raw_index, len, "adjusted").unwrap();
let index = ctx
.builder
.build_select(is_negative, adjusted, raw_index, "index")
.map(BasicValueEnum::into_int_value)
.unwrap();
// unsigned less than is enough, because negative index after adjustment is
// bigger than the length (for unsigned cmp)
let bound_check = ctx
.builder
.build_int_compare(IntPredicate::ULT, index, len, "inbound")
.unwrap();
ctx.make_assert(
generator,
bound_check,
"0:IndexError",
"index {0} out of bounds 0:{1}",
[Some(raw_index), Some(len), None],
slice.location,
);
v.data().ptr_offset(ctx, generator, &index, name)
}
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
todo!()
}
_ => unreachable!(),
}
}
_ => unreachable!(),
}))
}
@ -203,68 +145,20 @@ pub fn gen_assign<'ctx, G: CodeGenerator>(
ctx: &mut CodeGenContext<'ctx, '_>,
target: &Expr<Option<Type>>,
value: ValueEnum<'ctx>,
value_ty: Type,
) -> Result<(), String> {
let llvm_usize = generator.get_size_type(ctx.ctx);
// See https://docs.python.org/3/reference/simple_stmts.html#assignment-statements.
match &target.node {
ExprKind::Tuple { elts, .. } => {
let BasicValueEnum::StructValue(v) =
value.to_basic_value_enum(ctx, generator, target.custom.unwrap())?
else {
unreachable!()
};
for (i, elt) in elts.iter().enumerate() {
let v = ctx
.builder
.build_extract_value(v, u32::try_from(i).unwrap(), "struct_elem")
.unwrap();
generator.gen_assign(ctx, elt, v.into())?;
ExprKind::Subscript { value: target, slice: key, .. } => {
// Handle "slicing" or "subscription"
generator.gen_setitem(ctx, target, key, value, value_ty)?;
}
}
ExprKind::Subscript { value: ls, slice, .. }
if matches!(&slice.node, ExprKind::Slice { .. }) =>
{
let ExprKind::Slice { lower, upper, step } = &slice.node else { unreachable!() };
let ls = generator
.gen_expr(ctx, ls)?
.unwrap()
.to_basic_value_enum(ctx, generator, ls.custom.unwrap())?
.into_pointer_value();
let ls = ListValue::from_ptr_val(ls, llvm_usize, None);
let Some((start, end, step)) =
handle_slice_indices(lower, upper, step, ctx, generator, ls.load_size(ctx, None))?
else {
return Ok(());
};
let value = value
.to_basic_value_enum(ctx, generator, target.custom.unwrap())?
.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::TList { ty } => *ty,
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
unpack_ndarray_var_tys(&mut ctx.unifier, target.custom.unwrap()).0
}
_ => unreachable!(),
};
let ty = ctx.get_llvm_type(generator, ty);
let Some(src_ind) = handle_slice_indices(
&None,
&None,
&None,
ctx,
generator,
value.load_size(ctx, None),
)?
else {
return Ok(());
};
list_slice_assignment(generator, ctx, ty, ls, (start, end, step), value, src_ind);
ExprKind::Tuple { elts, .. } | ExprKind::List { elts, .. } => {
// Fold on `"[" [target_list] "]"` and `"(" [target_list] ")"`
generator.gen_assign_target_list(ctx, elts, value, value_ty)?;
}
_ => {
// Handle attribute and direct variable assignments.
let name = if let ExprKind::Name { id, .. } = &target.node {
format!("{id}.addr")
} else {
@ -288,6 +182,234 @@ pub fn gen_assign<'ctx, G: CodeGenerator>(
Ok(())
}
/// See [`CodeGenerator::gen_assign_target_list`].
pub fn gen_assign_target_list<'ctx, G: CodeGenerator>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
targets: &Vec<Expr<Option<Type>>>,
value: ValueEnum<'ctx>,
value_ty: Type,
) -> Result<(), String> {
// Deconstruct the tuple `value`
let BasicValueEnum::StructValue(tuple) = value.to_basic_value_enum(ctx, generator, value_ty)?
else {
unreachable!()
};
// NOTE: Currently, RHS's type is forced to be a Tuple by the type inferencer.
let TypeEnum::TTuple { ty: tuple_tys, .. } = &*ctx.unifier.get_ty(value_ty) else {
unreachable!();
};
assert_eq!(tuple.get_type().count_fields() as usize, tuple_tys.len());
let tuple = (0..tuple.get_type().count_fields())
.map(|i| ctx.builder.build_extract_value(tuple, i, "item").unwrap())
.collect_vec();
// Find the starred target if it exists.
let mut starred_target_index: Option<usize> = None; // Index of the "starred" target. If it exists, there may only be one.
for (i, target) in targets.iter().enumerate() {
if matches!(target.node, ExprKind::Starred { .. }) {
assert!(starred_target_index.is_none()); // The typechecker ensures this
starred_target_index = Some(i);
}
}
if let Some(starred_target_index) = starred_target_index {
assert!(tuple_tys.len() >= targets.len() - 1); // The typechecker ensures this
let a = starred_target_index; // Number of RHS values before the starred target
let b = tuple_tys.len() - (targets.len() - 1 - starred_target_index); // Number of RHS values after the starred target
// Thus `tuple[a..b]` is assigned to the starred target.
// Handle assignment before the starred target
for (target, val, val_ty) in
izip!(&targets[..starred_target_index], &tuple[..a], &tuple_tys[..a])
{
generator.gen_assign(ctx, target, ValueEnum::Dynamic(*val), *val_ty)?;
}
// Handle assignment to the starred target
if let ExprKind::Starred { value: target, .. } = &targets[starred_target_index].node {
let vals = &tuple[a..b];
let val_tys = &tuple_tys[a..b];
// Create a sub-tuple from `value` for the starred target.
let sub_tuple_ty = ctx
.ctx
.struct_type(&vals.iter().map(BasicValueEnum::get_type).collect_vec(), false);
let psub_tuple_val =
ctx.builder.build_alloca(sub_tuple_ty, "starred_target_value_ptr").unwrap();
for (i, val) in vals.iter().enumerate() {
let pitem = ctx
.builder
.build_struct_gep(psub_tuple_val, i as u32, "starred_target_value_item")
.unwrap();
ctx.builder.build_store(pitem, *val).unwrap();
}
let sub_tuple_val =
ctx.builder.build_load(psub_tuple_val, "starred_target_value").unwrap();
// Create the typechecker type of the sub-tuple
let sub_tuple_ty =
ctx.unifier.add_ty(TypeEnum::TTuple { ty: val_tys.to_vec(), is_vararg_ctx: false });
// Now assign with that sub-tuple to the starred target.
generator.gen_assign(ctx, target, ValueEnum::Dynamic(sub_tuple_val), sub_tuple_ty)?;
} else {
unreachable!() // The typechecker ensures this
}
// Handle assignment after the starred target
for (target, val, val_ty) in
izip!(&targets[starred_target_index + 1..], &tuple[b..], &tuple_tys[b..])
{
generator.gen_assign(ctx, target, ValueEnum::Dynamic(*val), *val_ty)?;
}
} else {
assert_eq!(tuple_tys.len(), targets.len()); // The typechecker ensures this
for (target, val, val_ty) in izip!(targets, tuple, tuple_tys) {
generator.gen_assign(ctx, target, ValueEnum::Dynamic(val), *val_ty)?;
}
}
Ok(())
}
/// See [`CodeGenerator::gen_setitem`].
pub fn gen_setitem<'ctx, G: CodeGenerator>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
target: &Expr<Option<Type>>,
key: &Expr<Option<Type>>,
value: ValueEnum<'ctx>,
value_ty: Type,
) -> Result<(), String> {
let target_ty = target.custom.unwrap();
let key_ty = key.custom.unwrap();
match &*ctx.unifier.get_ty(target_ty) {
TypeEnum::TObj { obj_id, params: list_params, .. }
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
{
// Handle list item assignment
let llvm_usize = generator.get_size_type(ctx.ctx);
let target_item_ty = iter_type_vars(list_params).next().unwrap().ty;
let target = generator
.gen_expr(ctx, target)?
.unwrap()
.to_basic_value_enum(ctx, generator, target_ty)?
.into_pointer_value();
let target = ListValue::from_ptr_val(target, llvm_usize, None);
if let ExprKind::Slice { .. } = &key.node {
// Handle assigning to a slice
let ExprKind::Slice { lower, upper, step } = &key.node else { unreachable!() };
let Some((start, end, step)) = handle_slice_indices(
lower,
upper,
step,
ctx,
generator,
target.load_size(ctx, None),
)?
else {
return Ok(());
};
let value =
value.to_basic_value_enum(ctx, generator, value_ty)?.into_pointer_value();
let value = ListValue::from_ptr_val(value, llvm_usize, None);
let target_item_ty = ctx.get_llvm_type(generator, target_item_ty);
let Some(src_ind) = handle_slice_indices(
&None,
&None,
&None,
ctx,
generator,
value.load_size(ctx, None),
)?
else {
return Ok(());
};
list_slice_assignment(
generator,
ctx,
target_item_ty,
target,
(start, end, step),
value,
src_ind,
);
} else {
// Handle assigning to an index
let len = target.load_size(ctx, Some("len"));
let index = generator
.gen_expr(ctx, key)?
.unwrap()
.to_basic_value_enum(ctx, generator, key_ty)?
.into_int_value();
let index = ctx
.builder
.build_int_s_extend(index, generator.get_size_type(ctx.ctx), "sext")
.unwrap();
// handle negative index
let is_negative = ctx
.builder
.build_int_compare(
IntPredicate::SLT,
index,
generator.get_size_type(ctx.ctx).const_zero(),
"is_neg",
)
.unwrap();
let adjusted = ctx.builder.build_int_add(index, len, "adjusted").unwrap();
let index = ctx
.builder
.build_select(is_negative, adjusted, index, "index")
.map(BasicValueEnum::into_int_value)
.unwrap();
// unsigned less than is enough, because negative index after adjustment is
// bigger than the length (for unsigned cmp)
let bound_check = ctx
.builder
.build_int_compare(IntPredicate::ULT, index, len, "inbound")
.unwrap();
ctx.make_assert(
generator,
bound_check,
"0:IndexError",
"index {0} out of bounds 0:{1}",
[Some(index), Some(len), None],
key.location,
);
// Write value to index on list
let item_ptr =
target.data().ptr_offset(ctx, generator, &index, Some("list_item_ptr"));
let value = value.to_basic_value_enum(ctx, generator, value_ty)?;
ctx.builder.build_store(item_ptr, value).unwrap();
}
}
TypeEnum::TObj { obj_id, .. }
if *obj_id == ctx.primitives.ndarray.obj_id(&ctx.unifier).unwrap() =>
{
// Handle NDArray item assignment
todo!("ndarray subscript assignment is not yet implemented");
}
_ => {
panic!("encountered unknown target type: {}", ctx.unifier.stringify(target_ty));
}
}
Ok(())
}
/// See [`CodeGenerator::gen_for`].
pub fn gen_for<G: CodeGenerator>(
generator: &mut G,
@ -310,9 +432,6 @@ pub fn gen_for<G: CodeGenerator>(
let orelse_bb =
if orelse.is_empty() { cont_bb } else { ctx.ctx.append_basic_block(current, "for.orelse") };
// Whether the iterable is a range() expression
let is_iterable_range_expr = ctx.unifier.unioned(iter.custom.unwrap(), ctx.primitives.range);
// The BB containing the increment expression
let incr_bb = ctx.ctx.append_basic_block(current, "for.incr");
// The BB containing the loop condition check
@ -321,17 +440,23 @@ pub fn gen_for<G: CodeGenerator>(
// store loop bb information and restore it later
let loop_bb = ctx.loop_target.replace((incr_bb, cont_bb));
let iter_ty = iter.custom.unwrap();
let iter_val = if let Some(v) = generator.gen_expr(ctx, iter)? {
v.to_basic_value_enum(ctx, generator, iter.custom.unwrap())?
v.to_basic_value_enum(ctx, generator, iter_ty)?
} else {
return Ok(());
};
if is_iterable_range_expr {
match &*ctx.unifier.get_ty(iter_ty) {
TypeEnum::TObj { obj_id, .. }
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
{
let iter_val = RangeValue::from_ptr_val(iter_val.into_pointer_value(), Some("range"));
// Internal variable for loop; Cannot be assigned
let i = generator.gen_var_alloc(ctx, int32.into(), Some("for.i.addr"))?;
// Variable declared in "target" expression of the loop; Can be reassigned *or* shadowed
let Some(target_i) = generator.gen_store_target(ctx, target, Some("for.target.addr"))?
let Some(target_i) =
generator.gen_store_target(ctx, target, Some("for.target.addr"))?
else {
unreachable!()
};
@ -340,8 +465,10 @@ pub fn gen_for<G: CodeGenerator>(
ctx.builder.build_store(i, start).unwrap();
// Check "If step is zero, ValueError is raised."
let rangenez =
ctx.builder.build_int_compare(IntPredicate::NE, step, int32.const_zero(), "").unwrap();
let rangenez = ctx
.builder
.build_int_compare(IntPredicate::NE, step, int32.const_zero(), "")
.unwrap();
ctx.make_assert(
generator,
rangenez,
@ -358,7 +485,10 @@ pub fn gen_for<G: CodeGenerator>(
.build_conditional_branch(
gen_in_range_check(
ctx,
ctx.builder.build_load(i, "").map(BasicValueEnum::into_int_value).unwrap(),
ctx.builder
.build_load(i, "")
.map(BasicValueEnum::into_int_value)
.unwrap(),
stop,
step,
),
@ -388,7 +518,10 @@ pub fn gen_for<G: CodeGenerator>(
)
.unwrap();
generator.gen_block(ctx, body.iter())?;
} else {
}
TypeEnum::TObj { obj_id, params: list_params, .. }
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
{
let index_addr = generator.gen_var_alloc(ctx, size_t.into(), Some("for.index.addr"))?;
ctx.builder.build_store(index_addr, size_t.const_zero()).unwrap();
let len = ctx
@ -426,9 +559,14 @@ pub fn gen_for<G: CodeGenerator>(
.map(BasicValueEnum::into_int_value)
.unwrap();
let val = ctx.build_gep_and_load(arr_ptr, &[index], Some("val"));
generator.gen_assign(ctx, target, val.into())?;
let val_ty = iter_type_vars(list_params).next().unwrap().ty;
generator.gen_assign(ctx, target, val.into(), val_ty)?;
generator.gen_block(ctx, body.iter())?;
}
_ => {
panic!("unsupported for loop iterator type: {}", ctx.unifier.stringify(iter_ty));
}
}
for (k, (_, _, counter)) in &var_assignment {
let (_, static_val, counter2) = ctx.var_assignment.get_mut(k).unwrap();
@ -462,6 +600,16 @@ pub fn gen_for<G: CodeGenerator>(
Ok(())
}
#[derive(PartialEq, Eq, Debug, Clone, Copy, 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>,
}
/// Generates a C-style `for` construct using lambdas, similar to the following C code:
///
/// ```c
@ -479,6 +627,7 @@ pub fn gen_for<G: CodeGenerator>(
pub fn gen_for_callback<'ctx, 'a, G, I, InitFn, CondFn, BodyFn, UpdateFn>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, 'a>,
label: Option<&str>,
init: InitFn,
cond: CondFn,
body: BodyFn,
@ -489,17 +638,20 @@ where
I: Clone,
InitFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>) -> Result<I, String>,
CondFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, I) -> Result<IntValue<'ctx>, String>,
BodyFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, I) -> Result<(), String>,
BodyFn:
FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, BreakContinueHooks, I) -> Result<(), String>,
UpdateFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, I) -> Result<(), String>,
{
let label = label.unwrap_or("for");
let current_bb = ctx.builder.get_insert_block().unwrap();
let init_bb = ctx.ctx.insert_basic_block_after(current_bb, "for.init");
let init_bb = ctx.ctx.insert_basic_block_after(current_bb, &format!("{label}.init"));
// The BB containing the loop condition check
let cond_bb = ctx.ctx.insert_basic_block_after(init_bb, "for.cond");
let body_bb = ctx.ctx.insert_basic_block_after(cond_bb, "for.body");
let cond_bb = ctx.ctx.insert_basic_block_after(init_bb, &format!("{label}.cond"));
let body_bb = ctx.ctx.insert_basic_block_after(cond_bb, &format!("{label}.body"));
// The BB containing the increment expression
let update_bb = ctx.ctx.insert_basic_block_after(body_bb, "for.update");
let cont_bb = ctx.ctx.insert_basic_block_after(update_bb, "for.end");
let update_bb = ctx.ctx.insert_basic_block_after(body_bb, &format!("{label}.update"));
let cont_bb = ctx.ctx.insert_basic_block_after(update_bb, &format!("{label}.end"));
// store loop bb information and restore it later
let loop_bb = ctx.loop_target.replace((update_bb, cont_bb));
@ -520,7 +672,8 @@ where
}
ctx.builder.position_at_end(body_bb);
body(generator, ctx, loop_var.clone())?;
let hooks = BreakContinueHooks { exit_bb: cont_bb, latch_bb: update_bb };
body(generator, ctx, hooks, loop_var.clone())?;
if !ctx.is_terminated() {
ctx.builder.build_unconditional_branch(update_bb).unwrap();
}
@ -555,6 +708,7 @@ where
pub fn gen_for_callback_incrementing<'ctx, 'a, G, BodyFn>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, 'a>,
label: Option<&str>,
init_val: IntValue<'ctx>,
max_val: (IntValue<'ctx>, bool),
body: BodyFn,
@ -562,13 +716,19 @@ pub fn gen_for_callback_incrementing<'ctx, 'a, G, BodyFn>(
) -> Result<(), String>
where
G: CodeGenerator + ?Sized,
BodyFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, IntValue<'ctx>) -> Result<(), String>,
BodyFn: FnOnce(
&mut G,
&mut CodeGenContext<'ctx, 'a>,
BreakContinueHooks,
IntValue<'ctx>,
) -> Result<(), String>,
{
let init_val_t = init_val.get_type();
gen_for_callback(
generator,
ctx,
label,
|generator, ctx| {
let i_addr = generator.gen_var_alloc(ctx, init_val_t.into(), None)?;
ctx.builder.build_store(i_addr, init_val).unwrap();
@ -584,10 +744,10 @@ where
Ok(ctx.builder.build_int_compare(cmp_op, i, max_val, "").unwrap())
},
|generator, ctx, i_addr| {
|generator, ctx, hooks, i_addr| {
let i = ctx.builder.build_load(i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
body(generator, ctx, i)
body(generator, ctx, hooks, i)
},
|_, ctx, i_addr| {
let i = ctx.builder.build_load(i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
@ -620,9 +780,11 @@ where
/// - `step_fn`: A lambda of IR statements that retrieves the `step` value of the `range`-like
/// iterable. This value will be extended to the size of `start`.
/// - `body_fn`: A lambda of IR statements within the loop body.
#[allow(clippy::too_many_arguments)]
pub fn gen_for_range_callback<'ctx, 'a, G, StartFn, StopFn, StepFn, BodyFn>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, 'a>,
label: Option<&str>,
is_unsigned: bool,
start_fn: StartFn,
(stop_fn, stop_inclusive): (StopFn, bool),
@ -634,13 +796,19 @@ where
StartFn: Fn(&mut G, &mut CodeGenContext<'ctx, 'a>) -> Result<IntValue<'ctx>, String>,
StopFn: Fn(&mut G, &mut CodeGenContext<'ctx, 'a>) -> Result<IntValue<'ctx>, String>,
StepFn: Fn(&mut G, &mut CodeGenContext<'ctx, 'a>) -> Result<IntValue<'ctx>, String>,
BodyFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, IntValue<'ctx>) -> Result<(), String>,
BodyFn: FnOnce(
&mut G,
&mut CodeGenContext<'ctx, 'a>,
BreakContinueHooks,
IntValue<'ctx>,
) -> Result<(), String>,
{
let init_val_t = start_fn(generator, ctx).map(IntValue::get_type).unwrap();
gen_for_callback(
generator,
ctx,
label,
|generator, ctx| {
let i_addr = generator.gen_var_alloc(ctx, init_val_t.into(), None)?;
@ -698,10 +866,10 @@ where
Ok(cond)
},
|generator, ctx, (i_addr, _)| {
|generator, ctx, hooks, (i_addr, _)| {
let i = ctx.builder.build_load(i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
body_fn(generator, ctx, i)
body_fn(generator, ctx, hooks, i)
},
|generator, ctx, (i_addr, _)| {
let i = ctx.builder.build_load(i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
@ -1553,14 +1721,14 @@ pub fn gen_stmt<G: CodeGenerator>(
}
StmtKind::AnnAssign { target, value, .. } => {
if let Some(value) = value {
let Some(value) = generator.gen_expr(ctx, value)? else { return Ok(()) };
generator.gen_assign(ctx, target, value)?;
let Some(value_enum) = generator.gen_expr(ctx, value)? else { return Ok(()) };
generator.gen_assign(ctx, target, value_enum, value.custom.unwrap())?;
}
}
StmtKind::Assign { targets, value, .. } => {
let Some(value) = generator.gen_expr(ctx, value)? else { return Ok(()) };
let Some(value_enum) = generator.gen_expr(ctx, value)? else { return Ok(()) };
for target in targets {
generator.gen_assign(ctx, target, value.clone())?;
generator.gen_assign(ctx, target, value_enum.clone(), value.custom.unwrap())?;
}
}
StmtKind::Continue { .. } => {
@ -1574,8 +1742,16 @@ 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, *op, value, stmt.location, true)?;
generator.gen_assign(ctx, target, value.unwrap())?;
let value_enum = gen_binop_expr(
generator,
ctx,
target,
Binop::aug_assign(*op),
value,
stmt.location,
)?
.unwrap();
generator.gen_assign(ctx, target, value_enum, value.custom.unwrap())?;
}
StmtKind::Try { .. } => gen_try(generator, ctx, stmt)?,
StmtKind::Raise { exc, .. } => {
@ -1608,7 +1784,7 @@ pub fn gen_stmt<G: CodeGenerator>(
};
ctx.make_assert_impl(
generator,
test.into_int_value(),
generator.bool_to_i1(ctx, test.into_int_value()),
"0:AssertionError",
err_msg,
[None, None, None],

View File

@ -109,8 +109,18 @@ fn test_primitives() {
let threads = vec![DefaultCodeGenerator::new("test".into(), 32).into()];
let signature = FunSignature {
args: vec![
FuncArg { name: "a".into(), ty: primitives.int32, default_value: None },
FuncArg { name: "b".into(), ty: primitives.int32, default_value: None },
FuncArg {
name: "a".into(),
ty: primitives.int32,
default_value: None,
is_vararg: false,
},
FuncArg {
name: "b".into(),
ty: primitives.int32,
default_value: None,
is_vararg: false,
},
],
ret: primitives.int32,
vars: VarMap::new(),
@ -189,6 +199,8 @@ fn test_primitives() {
let expected = indoc! {"
; ModuleID = 'test'
source_filename = \"test\"
target datalayout = \"e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128\"
target triple = \"x86_64-unknown-linux-gnu\"
; Function Attrs: mustprogress nofree norecurse nosync nounwind readnone willreturn
define i32 @testing(i32 %0, i32 %1) local_unnamed_addr #0 !dbg !4 {
@ -253,7 +265,12 @@ fn test_simple_call() {
unifier.top_level = Some(top_level.clone());
let signature = FunSignature {
args: vec![FuncArg { name: "a".into(), ty: primitives.int32, default_value: None }],
args: vec![FuncArg {
name: "a".into(),
ty: primitives.int32,
default_value: None,
is_vararg: false,
}],
ret: primitives.int32,
vars: VarMap::new(),
};
@ -368,6 +385,8 @@ fn test_simple_call() {
let expected = indoc! {"
; ModuleID = 'test'
source_filename = \"test\"
target datalayout = \"e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128\"
target triple = \"x86_64-unknown-linux-gnu\"
; Function Attrs: mustprogress nofree norecurse nosync nounwind readnone willreturn
define i32 @testing(i32 %0) local_unnamed_addr #0 !dbg !5 {

View File

@ -78,14 +78,14 @@ impl SymbolValue {
}
Constant::Tuple(t) => {
let expected_ty = unifier.get_ty(expected_ty);
let TypeEnum::TTuple { ty } = expected_ty.as_ref() else {
let TypeEnum::TTuple { ty, is_vararg_ctx } = expected_ty.as_ref() else {
return Err(format!(
"Expected {:?}, but got Tuple",
expected_ty.get_type_name()
));
};
assert_eq!(ty.len(), t.len());
assert!(*is_vararg_ctx || ty.len() == t.len());
let elems = t
.iter()
@ -155,7 +155,7 @@ impl SymbolValue {
SymbolValue::Bool(_) => primitives.bool,
SymbolValue::Tuple(vs) => {
let vs_tys = vs.iter().map(|v| v.get_type(primitives, unifier)).collect::<Vec<_>>();
unifier.add_ty(TypeEnum::TTuple { ty: vs_tys })
unifier.add_ty(TypeEnum::TTuple { ty: vs_tys, is_vararg_ctx: false })
}
SymbolValue::OptionSome(_) | SymbolValue::OptionNone => primitives.option,
}
@ -382,13 +382,12 @@ pub trait SymbolResolver {
}
thread_local! {
static IDENTIFIER_ID: [StrRef; 12] = [
static IDENTIFIER_ID: [StrRef; 11] = [
"int32".into(),
"int64".into(),
"float".into(),
"bool".into(),
"virtual".into(),
"list".into(),
"tuple".into(),
"str".into(),
"Exception".into(),
@ -413,13 +412,12 @@ pub fn parse_type_annotation<T>(
let float_id = ids[2];
let bool_id = ids[3];
let virtual_id = ids[4];
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 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 name_handling = |id: &StrRef, loc: Location, unifier: &mut Unifier| {
if *id == int32_id {
@ -476,9 +474,6 @@ 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
@ -487,7 +482,7 @@ pub fn parse_type_annotation<T>(
parse_type_annotation(resolver, top_level_defs, unifier, primitives, elt)
})
.collect::<Result<Vec<_>, _>>()?;
Ok(unifier.add_ty(TypeEnum::TTuple { ty }))
Ok(unifier.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: false }))
} else {
Err(HashSet::from(["Expected multiple elements for tuple".into()]))
}

File diff suppressed because it is too large Load Diff

View File

@ -766,6 +766,7 @@ impl TopLevelComposer {
let target_ty = get_type_from_type_annotation_kinds(
&temp_def_list,
unifier,
primitives,
&def,
&mut subst_list,
)?;
@ -859,7 +860,73 @@ impl TopLevelComposer {
let resolver = &**resolver;
let mut function_var_map = VarMap::new();
let arg_types = {
let vararg = args
.vararg
.as_ref()
.map(|vararg| -> Result<_, HashSet<String>> {
let vararg = vararg.as_ref();
let annotation = vararg
.node
.annotation
.as_ref()
.ok_or_else(|| {
HashSet::from([format!(
"function parameter `{}` needs type annotation at {}",
vararg.node.arg, vararg.location
)])
})?
.as_ref();
let type_annotation = parse_ast_to_type_annotation_kinds(
resolver,
temp_def_list.as_slice(),
unifier,
primitives_store,
annotation,
// NOTE: since only class need this, for function
// it should be fine to be empty map
HashMap::new(),
)?;
let type_vars_within =
get_type_var_contained_in_type_annotation(&type_annotation)
.into_iter()
.map(|x| -> Result<TypeVar, HashSet<String>> {
let TypeAnnotation::TypeVar(ty) = x else {
unreachable!("must be type var annotation kind")
};
let id = Self::get_var_id(ty, unifier)?;
Ok(TypeVar { id, ty })
})
.collect::<Result<Vec<_>, _>>()?;
for var in type_vars_within {
if let Some(prev_ty) = function_var_map.insert(var.id, var.ty) {
// if already have the type inserted, make sure they are the same thing
assert_eq!(prev_ty, var.ty);
}
}
let ty = get_type_from_type_annotation_kinds(
temp_def_list.as_ref(),
unifier,
primitives_store,
&type_annotation,
&mut None,
)?;
Ok(FuncArg {
name: vararg.node.arg,
ty,
default_value: Some(SymbolValue::Tuple(Vec::default())),
is_vararg: true,
})
})
.transpose()?;
let mut arg_types = {
// make sure no duplicate parameter
let mut defined_parameter_name: HashSet<_> = HashSet::new();
for x in &args.args {
@ -936,6 +1003,7 @@ impl TopLevelComposer {
let ty = get_type_from_type_annotation_kinds(
temp_def_list.as_ref(),
unifier,
primitives_store,
&type_annotation,
&mut None,
)?;
@ -959,11 +1027,18 @@ impl TopLevelComposer {
v
}),
},
is_vararg: false,
})
})
.collect::<Result<Vec<_>, _>>()?
};
if let Some(vararg) = vararg {
arg_types.push(vararg);
};
let arg_types = arg_types;
let return_ty = {
if let Some(returns) = returns {
let return_ty_annotation = {
@ -1002,6 +1077,7 @@ impl TopLevelComposer {
get_type_from_type_annotation_kinds(
&temp_def_list,
unifier,
primitives_store,
&return_ty_annotation,
&mut None,
)?
@ -1057,7 +1133,14 @@ impl TopLevelComposer {
let (keyword_list, core_config) = core_info;
let mut class_def = class_def.write();
let TopLevelDef::Class {
object_id, ancestors, fields, methods, resolver, type_vars, ..
object_id,
ancestors,
fields,
attributes,
methods,
resolver,
type_vars,
..
} = &mut *class_def
else {
unreachable!("here must be toplevel class def");
@ -1073,10 +1156,14 @@ 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, methods, type_vars, resolver);
) = (
*object_id, *name, bases, body, ancestors, fields, attributes, methods, type_vars,
resolver,
);
let class_resolver = class_resolver.as_ref().unwrap();
let class_resolver = class_resolver.as_ref();
@ -1203,6 +1290,7 @@ impl TopLevelComposer {
})
}
},
is_vararg: false,
};
// push the dummy type and the type annotation
// into the list for later unification
@ -1285,11 +1373,13 @@ 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: None, .. } => {
ast::StmtKind::AnnAssign { target, annotation, value, .. } => {
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, .. }
@ -1312,7 +1402,45 @@ impl TopLevelComposer {
_ => continue, // ignore fields annotated otherwise
};
class_fields_def.push((*attr, dummy_field_type, mutable));
annotation
}
// Supporting Class Attributes
Some(boxed_expr) => {
// Class attributes are set as immutable regardless
let (annotation, _) = match &annotation.node {
ast::ExprKind::Subscript { slice, .. } => (slice, false),
_ if core_config.kernel_ann.is_none() => (annotation, false),
_ => continue,
};
match &**boxed_expr {
ast::Located {location: _, custom: (), node: ast::ExprKind::Constant { value: v, kind: _ }} => {
// Restricting the types allowed to be defined as class attributes
match v {
ast::Constant::Bool(_) | ast::Constant::Str(_) | ast::Constant::Int(_) | ast::Constant::Float(_) => {}
_ => {
return Err(HashSet::from([
format!(
"unsupported statement in class definition body (at {})",
b.location
),
]))
}
}
class_attributes_def.push((*attr, dummy_field_type, v.clone()));
}
_ => {
return Err(HashSet::from([
format!(
"unsupported statement in class definition body (at {})",
b.location
),
]))
}
}
annotation
}
};
let parsed_annotation = parse_ast_to_type_annotation_kinds(
class_resolver,
temp_def_list,
@ -1384,7 +1512,14 @@ impl TopLevelComposer {
type_var_to_concrete_def: &mut HashMap<Type, TypeAnnotation>,
) -> Result<(), HashSet<String>> {
let TopLevelDef::Class {
object_id, ancestors, fields, methods, resolver, type_vars, ..
object_id,
ancestors,
fields,
attributes,
methods,
resolver,
type_vars,
..
} = class_def
else {
unreachable!("here must be class def ast")
@ -1393,10 +1528,11 @@ 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, methods, type_vars, resolver);
) = (*object_id, ancestors, fields, attributes, 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
@ -1407,7 +1543,7 @@ impl TopLevelComposer {
let base = temp_def_list.get(id.0).unwrap();
let base = base.read();
let TopLevelDef::Class { methods, fields, .. } = &*base else {
let TopLevelDef::Class { methods, fields, attributes, .. } = &*base else {
unreachable!("must be top level class def")
};
@ -1449,7 +1585,7 @@ impl TopLevelComposer {
}
}
// use the new_child_methods to replace all the elements in `class_methods_def`
class_methods_def.drain(..);
class_methods_def.clear();
class_methods_def.extend(new_child_methods);
// handle class fields
@ -1459,7 +1595,9 @@ 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 {
if class_field_name == anc_field_name
|| attributes.iter().any(|f| f.0 == *class_field_name)
{
return Err(HashSet::from([format!(
"field `{class_field_name}` has already declared in the ancestor classes"
)]));
@ -1467,14 +1605,33 @@ 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.drain(..);
class_fields_def.clear();
class_fields_def.extend(new_child_fields);
class_attribute_def.clear();
class_attribute_def.extend(new_child_attributes);
Ok(())
}
@ -1542,6 +1699,7 @@ impl TopLevelComposer {
let self_type = get_type_from_type_annotation_kinds(
&def_list,
unifier,
primitives_ty,
&make_self_type_annotation(type_vars, *object_id),
&mut None,
)?;
@ -1558,21 +1716,25 @@ impl TopLevelComposer {
name: "msg".into(),
ty: string,
default_value: Some(SymbolValue::Str(String::new())),
is_vararg: false,
},
FuncArg {
name: "param0".into(),
ty: int64,
default_value: Some(SymbolValue::I64(0)),
is_vararg: false,
},
FuncArg {
name: "param1".into(),
ty: int64,
default_value: Some(SymbolValue::I64(0)),
is_vararg: false,
},
FuncArg {
name: "param2".into(),
ty: int64,
default_value: Some(SymbolValue::I64(0)),
is_vararg: false,
},
],
ret: self_type,
@ -1723,7 +1885,11 @@ impl TopLevelComposer {
let ty_ann = make_self_type_annotation(type_vars, *class_id);
let self_ty = get_type_from_type_annotation_kinds(
&def_list, unifier, &ty_ann, &mut None,
&def_list,
unifier,
primitives_ty,
&ty_ann,
&mut None,
)?;
vars.extend(type_vars.iter().map(|ty| {
let TypeEnum::TVar { id, .. } = &*unifier.get_ty(*ty) else {
@ -1778,6 +1944,7 @@ impl TopLevelComposer {
name: a.name,
ty: unifier.subst(a.ty, &subst).unwrap_or(a.ty),
default_value: a.default_value.clone(),
is_vararg: false,
})
.collect_vec()
};

View File

@ -2,7 +2,7 @@ use std::convert::TryInto;
use crate::symbol_resolver::SymbolValue;
use crate::toplevel::numpy::unpack_ndarray_var_tys;
use crate::typecheck::typedef::{into_var_map, Mapping, TypeVarId, VarMap};
use crate::typecheck::typedef::{into_var_map, iter_type_vars, Mapping, TypeVarId, VarMap};
use nac3parser::ast::{Constant, Location};
use strum::IntoEnumIterator;
use strum_macros::EnumIter;
@ -12,6 +12,7 @@ use super::*;
/// All primitive types and functions in nac3core.
#[derive(Clone, Copy, Debug, EnumIter, PartialEq, Eq)]
pub enum PrimDef {
// Classes
Int32,
Int64,
Float,
@ -23,17 +24,25 @@ pub enum PrimDef {
UInt32,
UInt64,
Option,
OptionIsSome,
OptionIsNone,
OptionUnwrap,
List,
NDArray,
NDArrayCopy,
NDArrayFill,
FunInt32,
FunInt64,
FunUInt32,
FunUInt64,
FunFloat,
// Option methods
FunOptionIsSome,
FunOptionIsNone,
FunOptionUnwrap,
// Option-related functions
FunSome,
// NDArray methods
FunNDArrayCopy,
FunNDArrayFill,
// Range methods
FunRangeInit,
// NumPy factory functions
FunNpNDArray,
FunNpEmpty,
FunNpZeros,
@ -42,26 +51,17 @@ pub enum PrimDef {
FunNpArray,
FunNpEye,
FunNpIdentity,
FunRound,
FunRound64,
// Miscellaneous NumPy & SciPy functions
FunNpRound,
FunRange,
FunStr,
FunBool,
FunFloor,
FunFloor64,
FunNpFloor,
FunCeil,
FunCeil64,
FunNpCeil,
FunLen,
FunMin,
FunNpMin,
FunNpMinimum,
FunMax,
FunNpArgmin,
FunNpMax,
FunNpMaximum,
FunAbs,
FunNpArgmax,
FunNpIsNan,
FunNpIsInf,
FunNpSin,
@ -99,13 +99,46 @@ pub enum PrimDef {
FunNpLdExp,
FunNpHypot,
FunNpNextAfter,
FunSome,
FunNpTranspose,
FunNpReshape,
// Linalg functions
FunNpDot,
FunNpLinalgCholesky,
FunNpLinalgQr,
FunNpLinalgSvd,
FunNpLinalgInv,
FunNpLinalgPinv,
FunNpLinalgMatrixPower,
FunNpLinalgDet,
FunSpLinalgLu,
FunSpLinalgSchur,
FunSpLinalgHessenberg,
// Miscellaneous Python & NAC3 functions
FunInt32,
FunInt64,
FunUInt32,
FunUInt64,
FunFloat,
FunRound,
FunRound64,
FunStr,
FunBool,
FunFloor,
FunFloor64,
FunCeil,
FunCeil64,
FunLen,
FunMin,
FunMax,
FunAbs,
}
/// Associated details of a [`PrimDef`]
pub enum PrimDefDetails {
PrimFunction { name: &'static str, simple_name: &'static str },
PrimClass { name: &'static str },
PrimClass { name: &'static str, get_ty_fn: fn(&PrimitiveStore) -> Type },
}
impl PrimDef {
@ -147,15 +180,17 @@ impl PrimDef {
#[must_use]
pub fn name(&self) -> &'static str {
match self.details() {
PrimDefDetails::PrimFunction { name, .. } | PrimDefDetails::PrimClass { name } => name,
PrimDefDetails::PrimFunction { name, .. } | PrimDefDetails::PrimClass { name, .. } => {
name
}
}
}
/// Get the associated details of this [`PrimDef`]
#[must_use]
pub fn details(self) -> PrimDefDetails {
fn class(name: &'static str) -> PrimDefDetails {
PrimDefDetails::PrimClass { name }
fn class(name: &'static str, get_ty_fn: fn(&PrimitiveStore) -> Type) -> PrimDefDetails {
PrimDefDetails::PrimClass { name, get_ty_fn }
}
fn fun(name: &'static str, simple_name: Option<&'static str>) -> PrimDefDetails {
@ -163,28 +198,37 @@ impl PrimDef {
}
match self {
PrimDef::Int32 => class("int32"),
PrimDef::Int64 => class("int64"),
PrimDef::Float => class("float"),
PrimDef::Bool => class("bool"),
PrimDef::None => class("none"),
PrimDef::Range => class("range"),
PrimDef::Str => class("str"),
PrimDef::Exception => class("Exception"),
PrimDef::UInt32 => class("uint32"),
PrimDef::UInt64 => class("uint64"),
PrimDef::Option => class("Option"),
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::NDArray => class("ndarray"),
PrimDef::NDArrayCopy => fun("ndarray.copy", Some("copy")),
PrimDef::NDArrayFill => fun("ndarray.fill", Some("fill")),
PrimDef::FunInt32 => fun("int32", None),
PrimDef::FunInt64 => fun("int64", None),
PrimDef::FunUInt32 => fun("uint32", None),
PrimDef::FunUInt64 => fun("uint64", None),
PrimDef::FunFloat => fun("float", None),
// Classes
PrimDef::Int32 => class("int32", |primitives| primitives.int32),
PrimDef::Int64 => class("int64", |primitives| primitives.int64),
PrimDef::Float => class("float", |primitives| primitives.float),
PrimDef::Bool => class("bool", |primitives| primitives.bool),
PrimDef::None => class("none", |primitives| primitives.none),
PrimDef::Range => class("range", |primitives| primitives.range),
PrimDef::Str => class("str", |primitives| primitives.str),
PrimDef::Exception => class("Exception", |primitives| primitives.exception),
PrimDef::UInt32 => class("uint32", |primitives| primitives.uint32),
PrimDef::UInt64 => class("uint64", |primitives| primitives.uint64),
PrimDef::Option => class("Option", |primitives| primitives.option),
PrimDef::List => class("list", |primitives| primitives.list),
PrimDef::NDArray => class("ndarray", |primitives| primitives.ndarray),
// Option methods
PrimDef::FunOptionIsSome => fun("Option.is_some", Some("is_some")),
PrimDef::FunOptionIsNone => fun("Option.is_none", Some("is_none")),
PrimDef::FunOptionUnwrap => fun("Option.unwrap", Some("unwrap")),
// Option-related functions
PrimDef::FunSome => fun("Some", None),
// NDArray methods
PrimDef::FunNDArrayCopy => fun("ndarray.copy", Some("copy")),
PrimDef::FunNDArrayFill => fun("ndarray.fill", Some("fill")),
// Range methods
PrimDef::FunRangeInit => fun("range.__init__", Some("__init__")),
// NumPy factory functions
PrimDef::FunNpNDArray => fun("np_ndarray", None),
PrimDef::FunNpEmpty => fun("np_empty", None),
PrimDef::FunNpZeros => fun("np_zeros", None),
@ -193,26 +237,17 @@ impl PrimDef {
PrimDef::FunNpArray => fun("np_array", None),
PrimDef::FunNpEye => fun("np_eye", None),
PrimDef::FunNpIdentity => fun("np_identity", None),
PrimDef::FunRound => fun("round", None),
PrimDef::FunRound64 => fun("round64", None),
// Miscellaneous NumPy & SciPy functions
PrimDef::FunNpRound => fun("np_round", None),
PrimDef::FunRange => fun("range", None),
PrimDef::FunStr => fun("str", None),
PrimDef::FunBool => fun("bool", None),
PrimDef::FunFloor => fun("floor", None),
PrimDef::FunFloor64 => fun("floor64", None),
PrimDef::FunNpFloor => fun("np_floor", None),
PrimDef::FunCeil => fun("ceil", None),
PrimDef::FunCeil64 => fun("ceil64", None),
PrimDef::FunNpCeil => fun("np_ceil", None),
PrimDef::FunLen => fun("len", None),
PrimDef::FunMin => fun("min", None),
PrimDef::FunNpMin => fun("np_min", None),
PrimDef::FunNpMinimum => fun("np_minimum", None),
PrimDef::FunMax => fun("max", None),
PrimDef::FunNpArgmin => fun("np_argmin", None),
PrimDef::FunNpMax => fun("np_max", None),
PrimDef::FunNpMaximum => fun("np_maximum", None),
PrimDef::FunAbs => fun("abs", None),
PrimDef::FunNpArgmax => fun("np_argmax", None),
PrimDef::FunNpIsNan => fun("np_isnan", None),
PrimDef::FunNpIsInf => fun("np_isinf", None),
PrimDef::FunNpSin => fun("np_sin", None),
@ -250,7 +285,40 @@ impl PrimDef {
PrimDef::FunNpLdExp => fun("np_ldexp", None),
PrimDef::FunNpHypot => fun("np_hypot", None),
PrimDef::FunNpNextAfter => fun("np_nextafter", None),
PrimDef::FunSome => fun("Some", None),
PrimDef::FunNpTranspose => fun("np_transpose", None),
PrimDef::FunNpReshape => fun("np_reshape", None),
// Linalg functions
PrimDef::FunNpDot => fun("np_dot", None),
PrimDef::FunNpLinalgCholesky => fun("np_linalg_cholesky", None),
PrimDef::FunNpLinalgQr => fun("np_linalg_qr", None),
PrimDef::FunNpLinalgSvd => fun("np_linalg_svd", None),
PrimDef::FunNpLinalgInv => fun("np_linalg_inv", None),
PrimDef::FunNpLinalgPinv => fun("np_linalg_pinv", None),
PrimDef::FunNpLinalgMatrixPower => fun("np_linalg_matrix_power", None),
PrimDef::FunNpLinalgDet => fun("np_linalg_det", None),
PrimDef::FunSpLinalgLu => fun("sp_linalg_lu", None),
PrimDef::FunSpLinalgSchur => fun("sp_linalg_schur", None),
PrimDef::FunSpLinalgHessenberg => fun("sp_linalg_hessenberg", None),
// Miscellaneous Python & NAC3 functions
PrimDef::FunInt32 => fun("int32", None),
PrimDef::FunInt64 => fun("int64", None),
PrimDef::FunUInt32 => fun("uint32", None),
PrimDef::FunUInt64 => fun("uint64", None),
PrimDef::FunFloat => fun("float", None),
PrimDef::FunRound => fun("round", None),
PrimDef::FunRound64 => fun("round64", None),
PrimDef::FunStr => fun("str", None),
PrimDef::FunBool => fun("bool", None),
PrimDef::FunFloor => fun("floor", None),
PrimDef::FunFloor64 => fun("floor64", None),
PrimDef::FunCeil => fun("ceil", None),
PrimDef::FunCeil64 => fun("ceil64", None),
PrimDef::FunLen => fun("len", None),
PrimDef::FunMin => fun("min", None),
PrimDef::FunMax => fun("max", None),
PrimDef::FunAbs => fun("abs", None),
}
}
}
@ -354,7 +422,13 @@ impl TopLevelComposer {
});
let range = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::Range.id(),
fields: HashMap::new(),
fields: [
("start".into(), (int32, true)),
("stop".into(), (int32, true)),
("step".into(), (int32, true)),
]
.into_iter()
.collect(),
params: VarMap::new(),
});
let str = unifier.add_ty(TypeEnum::TObj {
@ -395,9 +469,9 @@ impl TopLevelComposer {
let option = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::Option.id(),
fields: vec![
(PrimDef::OptionIsSome.simple_name().into(), (is_some_type_fun_ty, true)),
(PrimDef::OptionIsNone.simple_name().into(), (is_some_type_fun_ty, true)),
(PrimDef::OptionUnwrap.simple_name().into(), (unwrap_fun_ty, true)),
(PrimDef::FunOptionIsSome.simple_name().into(), (is_some_type_fun_ty, true)),
(PrimDef::FunOptionIsNone.simple_name().into(), (is_some_type_fun_ty, true)),
(PrimDef::FunOptionUnwrap.simple_name().into(), (unwrap_fun_ty, true)),
]
.into_iter()
.collect::<HashMap<_, _>>(),
@ -410,6 +484,13 @@ 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);
@ -424,6 +505,7 @@ impl TopLevelComposer {
name: "value".into(),
ty: ndarray_dtype_tvar.ty,
default_value: None,
is_vararg: false,
}],
ret: none,
vars: into_var_map([ndarray_dtype_tvar, ndarray_ndims_tvar]),
@ -431,8 +513,8 @@ impl TopLevelComposer {
let ndarray = unifier.add_ty(TypeEnum::TObj {
obj_id: PrimDef::NDArray.id(),
fields: Mapping::from([
(PrimDef::NDArrayCopy.simple_name().into(), (ndarray_copy_fun_ty, true)),
(PrimDef::NDArrayFill.simple_name().into(), (ndarray_fill_fun_ty, true)),
(PrimDef::FunNDArrayCopy.simple_name().into(), (ndarray_copy_fun_ty, true)),
(PrimDef::FunNDArrayFill.simple_name().into(), (ndarray_fill_fun_ty, true)),
]),
params: into_var_map([ndarray_dtype_tvar, ndarray_ndims_tvar]),
});
@ -451,6 +533,7 @@ impl TopLevelComposer {
str,
exception,
option,
list,
ndarray,
size_t,
};
@ -474,6 +557,7 @@ impl TopLevelComposer {
object_id: obj_id,
type_vars: Vec::default(),
fields: Vec::default(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
constructor,
@ -887,7 +971,9 @@ pub fn arraylike_flatten_element_type(unifier: &mut Unifier, ty: Type) -> Type {
unpack_ndarray_var_tys(unifier, ty).0
}
TypeEnum::TList { ty } => arraylike_flatten_element_type(unifier, *ty),
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
arraylike_flatten_element_type(unifier, iter_type_vars(params).next().unwrap().ty)
}
_ => ty,
}
}
@ -908,7 +994,9 @@ pub fn arraylike_get_ndims(unifier: &mut Unifier, ty: Type) -> u64 {
u64::try_from(values[0].clone()).unwrap()
}
TypeEnum::TList { ty } => arraylike_get_ndims(unifier, *ty) + 1,
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
arraylike_get_ndims(unifier, iter_type_vars(params).next().unwrap().ty) + 1
}
_ => 0,
}
}

View File

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

View File

@ -5,7 +5,7 @@ expression: res_vec
[
"Class {\nname: \"Generic_A\",\nancestors: [\"Generic_A[V]\", \"B\"],\nfields: [\"aa\", \"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\"), (\"fun\", \"fn[[a:int32], V]\")],\ntype_vars: [\"V\"]\n}\n",
"Function {\nname: \"Generic_A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(239)]\n}\n",
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(246)]\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [\"aa\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"B.foo\",\nsig: \"fn[[b:T], none]\",\nvar_id: []\n}\n",

View File

@ -7,7 +7,7 @@ expression: res_vec
"Function {\nname: \"A.__init__\",\nsig: \"fn[[t:T], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[c:C], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B[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",
"Class {\nname: \"B\",\nancestors: [\"B[typevar235]\", \"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: [\"typevar235\"]\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"B.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
"Class {\nname: \"C\",\nancestors: [\"C\", \"B[bool]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\", \"e\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: []\n}\n",

View File

@ -5,8 +5,8 @@ expression: res_vec
[
"Function {\nname: \"foo\",\nsig: \"fn[[a:list[int32], b:tuple[T, float]], A[B, bool]]\",\nvar_id: []\n}\n",
"Class {\nname: \"A\",\nancestors: [\"A[T, V]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[v:V], none]\"), (\"fun\", \"fn[[a:T], V]\")],\ntype_vars: [\"T\", \"V\"]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(241)]\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(246)]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(248)]\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(253)]\n}\n",
"Function {\nname: \"gfun\",\nsig: \"fn[[a:A[list[float], int32]], none]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [],\nmethods: [(\"__init__\", \"fn[[], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",

View File

@ -3,7 +3,7 @@ source: nac3core/src/toplevel/test.rs
expression: res_vec
---
[
"Class {\nname: \"A\",\nancestors: [\"A[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",
"Class {\nname: \"A\",\nancestors: [\"A[typevar234, typevar235]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[float, bool], b:B], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\")],\ntype_vars: [\"typevar234\", \"typevar235\"]\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[a:A[float, bool], b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:A[float, bool]], A[bool, int32]]\",\nvar_id: []\n}\n",
"Class {\nname: \"B\",\nancestors: [\"B\", \"A[int64, bool]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\"), (\"foo\", \"fn[[b:B], B]\"), (\"bar\", \"fn[[a:A[list[B], int32]], tuple[A[virtual[A[B, int32]], bool], B]]\")],\ntype_vars: []\n}\n",

View File

@ -6,12 +6,12 @@ expression: res_vec
"Class {\nname: \"A\",\nancestors: [\"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
"Function {\nname: \"A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(247)]\n}\n",
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(254)]\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(255)]\n}\n",
"Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(262)]\n}\n",
]

View File

@ -1,3 +1,6 @@
use super::*;
use crate::toplevel::helper::PrimDef;
use crate::typecheck::typedef::into_var_map;
use crate::{
codegen::CodeGenContext,
symbol_resolver::{SymbolResolver, ValueEnum},
@ -14,8 +17,6 @@ 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>>,
@ -775,8 +776,15 @@ 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::default(),
id_to_def: Mutex::new(HashMap::from([("list".into(), PrimDef::List.id())])),
id_to_type: tvars
.into_iter()
.map(|(name, range)| {
@ -790,7 +798,7 @@ fn make_internal_resolver_with_tvar(
})
.collect::<HashMap<_, _>>()
.into(),
class_names: Mutex::default(),
class_names: Mutex::new(HashMap::from([("list".into(), list)])),
}
.into();
if print {

View File

@ -1,8 +1,9 @@
use super::*;
use crate::symbol_resolver::SymbolValue;
use crate::toplevel::helper::PrimDef;
use crate::toplevel::helper::{PrimDef, PrimDefDetails};
use crate::typecheck::typedef::VarMap;
use nac3parser::ast::Constant;
use strum::IntoEnumIterator;
#[derive(Clone, Debug)]
pub enum TypeAnnotation {
@ -18,7 +19,6 @@ pub enum TypeAnnotation {
TypeVar(Type),
/// A `Literal` allowing a subset of literals.
Literal(Vec<Constant>),
List(Box<TypeAnnotation>),
Tuple(Vec<TypeAnnotation>),
}
@ -51,7 +51,6 @@ 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[{}]",
@ -145,9 +144,7 @@ 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(), "list".into(), "tuple".into(), "Option".into()]
.contains(id)
{
if ["virtual".into(), "Generic".into(), "tuple".into(), "Option".into()].contains(id) {
return Err(HashSet::from([format!(
"keywords cannot be class name (at {})",
expr.location
@ -236,23 +233,6 @@ 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 {
@ -378,6 +358,7 @@ pub fn parse_ast_to_type_annotation_kinds<T, S: std::hash::BuildHasher + Clone>(
pub fn get_type_from_type_annotation_kinds(
top_level_defs: &[Arc<RwLock<TopLevelDef>>],
unifier: &mut Unifier,
primitives: &PrimitiveStore,
ann: &TypeAnnotation,
subst_list: &mut Option<Vec<Type>>,
) -> Result<Type, HashSet<String>> {
@ -400,10 +381,43 @@ pub fn get_type_from_type_annotation_kinds(
let param_ty = params
.iter()
.map(|x| {
get_type_from_type_annotation_kinds(top_level_defs, unifier, x, subst_list)
get_type_from_type_annotation_kinds(
top_level_defs,
unifier,
primitives,
x,
subst_list,
)
})
.collect::<Result<Vec<_>, _>>()?;
let ty = if let Some(prim_def) = PrimDef::iter().find(|prim| prim.id() == *obj_id) {
// Primitive TopLevelDefs do not contain all fields that are present in their Type
// counterparts, so directly perform subst on the Type instead.
let PrimDefDetails::PrimClass { get_ty_fn, .. } = prim_def.details() else {
unreachable!()
};
let base_ty = get_ty_fn(primitives);
let params =
if let TypeEnum::TObj { params, .. } = &*unifier.get_ty_immutable(base_ty) {
params.clone()
} else {
unreachable!()
};
unifier
.subst(
get_ty_fn(primitives),
&params
.iter()
.zip(param_ty)
.map(|(obj_tv, param)| (*obj_tv.0, param))
.collect(),
)
.unwrap_or(base_ty)
} else {
let subst = {
// check for compatible range
// TODO: if allow type var to be applied(now this disallowed in the parse_to_type_annotation), need more check
@ -445,12 +459,15 @@ pub fn get_type_from_type_annotation_kinds(
}
}
TypeEnum::TVar { id, range, name, loc, is_const_generic: true, .. } => {
TypeEnum::TVar {
id, range, name, loc, is_const_generic: true, ..
} => {
let ty = range[0];
let ok: bool = {
// create a temp type var and unify to check compatibility
p == *tvar || {
let temp = unifier.get_fresh_const_generic_var(ty, *name, *loc);
let temp =
unifier.get_fresh_const_generic_var(ty, *name, *loc);
unifier.unify(temp.ty, p).is_ok()
}
};
@ -470,6 +487,7 @@ 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, _)| {
@ -488,11 +506,16 @@ pub fn get_type_from_type_annotation_kinds(
fields: tobj_fields,
params: subst,
});
if need_subst {
if let Some(wl) = subst_list.as_mut() {
wl.push(ty);
}
}
ty
};
Ok(ty)
}
TypeAnnotation::Primitive(ty) | TypeAnnotation::TypeVar(ty) => Ok(*ty),
@ -510,28 +533,26 @@ pub fn get_type_from_type_annotation_kinds(
let ty = get_type_from_type_annotation_kinds(
top_level_defs,
unifier,
primitives,
ty.as_ref(),
subst_list,
)?;
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()
.map(|x| {
get_type_from_type_annotation_kinds(top_level_defs, unifier, x, subst_list)
get_type_from_type_annotation_kinds(
top_level_defs,
unifier,
primitives,
x,
subst_list,
)
})
.collect::<Result<Vec<_>, _>>()?;
Ok(unifier.add_ty(TypeEnum::TTuple { ty: tys }))
Ok(unifier.add_ty(TypeEnum::TTuple { ty: tys, is_vararg_ctx: false }))
}
}
}
@ -564,7 +585,7 @@ 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::List(ann) => {
TypeAnnotation::Virtual(ann) => {
result.extend(get_type_var_contained_in_type_annotation(ann.as_ref()));
}
TypeAnnotation::CustomClass { params, .. } => {
@ -605,8 +626,7 @@ pub fn check_overload_type_annotation_compatible(
a == b
}
(TypeAnnotation::Virtual(a), TypeAnnotation::Virtual(b))
| (TypeAnnotation::List(a), TypeAnnotation::List(b)) => {
(TypeAnnotation::Virtual(a), TypeAnnotation::Virtual(b)) => {
check_overload_type_annotation_compatible(a.as_ref(), b.as_ref(), unifier)
}

View File

@ -1,7 +1,7 @@
use crate::typecheck::typedef::TypeEnum;
use crate::toplevel::helper::PrimDef;
use super::type_inferencer::Inferencer;
use super::typedef::Type;
use super::typedef::{Type, TypeEnum};
use nac3parser::ast::{
self, Constant, Expr, ExprKind,
Operator::{LShift, RShift},
@ -34,13 +34,18 @@ impl<'a> Inferencer<'a> {
self.should_have_value(pattern)?;
Ok(())
}
ExprKind::Tuple { elts, .. } => {
ExprKind::List { elts, .. } | ExprKind::Tuple { elts, .. } => {
for elt in elts {
self.check_pattern(elt, defined_identifiers)?;
self.should_have_value(elt)?;
}
Ok(())
}
ExprKind::Starred { value, .. } => {
self.check_pattern(value, defined_identifiers)?;
self.should_have_value(value)?;
Ok(())
}
ExprKind::Subscript { value, slice, .. } => {
self.check_expr(value, defined_identifiers)?;
self.should_have_value(value)?;
@ -69,6 +74,7 @@ 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!(
@ -217,7 +223,7 @@ impl<'a> Inferencer<'a> {
]
.iter()
.any(|allowed_ty| self.unifier.unioned(ret_ty, *allowed_ty)),
TypeEnum::TTuple { ty } => ty.iter().all(|t| self.check_return_value_ty(*t)),
TypeEnum::TTuple { ty, .. } => ty.iter().all(|t| self.check_return_value_ty(*t)),
_ => false,
}
}

View File

@ -5,7 +5,7 @@ use crate::typecheck::{
type_inferencer::*,
typedef::{FunSignature, FuncArg, Type, TypeEnum, Unifier, VarMap},
};
use itertools::Itertools;
use itertools::{iproduct, Itertools};
use nac3parser::ast::StrRef;
use nac3parser::ast::{Cmpop, Operator, Unaryop};
use std::cmp::max;
@ -13,67 +13,138 @@ 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 binop_name(op: Operator) -> &'static str {
match op {
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__",
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 }
}
}
#[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__",
}
/// 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,
}
#[must_use]
pub fn unaryop_name(op: Unaryop) -> &'static str {
match op {
Unaryop::UAdd => "__pos__",
Unaryop::USub => "__neg__",
Unaryop::Not => "__not__",
Unaryop::Invert => "__inv__",
}
/// 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: $symbol }
};
}
#[must_use]
pub fn comparison_name(op: Cmpop) -> Option<&'static str> {
pub trait HasOpInfo {
fn op_info(&self) -> OpInfo;
}
fn try_get_cmpop_info(op: Cmpop) -> Option<OpInfo> {
match op {
Cmpop::Lt => Some("__lt__"),
Cmpop::LtE => Some("__le__"),
Cmpop::Gt => Some("__gt__"),
Cmpop::GtE => Some("__ge__"),
Cmpop::Eq => Some("__eq__"),
Cmpop::NotEq => Some("__ne__"),
Cmpop::Lt => Some(make_op_info!("lt", "<")),
Cmpop::LtE => Some(make_op_info!("le", "<=")),
Cmpop::Gt => Some(make_op_info!("gt", ">")),
Cmpop::GtE => Some(make_op_info!("ge", ">=")),
Cmpop::Eq => Some(make_op_info!("eq", "==")),
Cmpop::NotEq => Some(make_op_info!("ne", "!=")),
_ => None,
}
}
impl OpInfo {
#[must_use]
pub fn supports_cmpop(op: Cmpop) -> bool {
try_get_cmpop_info(op).is_some()
}
}
impl HasOpInfo for Cmpop {
fn op_info(&self) -> OpInfo {
try_get_cmpop_info(*self).expect("{self:?} is not supported")
}
}
impl HasOpInfo for Binop {
fn op_info(&self) -> OpInfo {
// Helper macro to generate both the normal variant [`OpInfo`] and the
// augmented assigning variant [`OpInfo`] for a binary operator conveniently.
macro_rules! info {
($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)>),
@ -115,23 +186,9 @@ pub fn impl_binop(
let ret_ty = ret_ty.unwrap_or_else(|| unifier.get_fresh_var(None, None).ty);
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(), {
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(), {
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
@ -140,6 +197,7 @@ pub fn impl_binop(
ty: other_ty,
default_value: None,
name: "other".into(),
is_vararg: false,
}],
})),
false,
@ -155,7 +213,7 @@ pub fn impl_unaryop(unifier: &mut Unifier, ty: Type, ret_ty: Option<Type>, ops:
for op in ops {
fields.insert(
unaryop_name(*op).into(),
op.op_info().method_name.into(),
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
@ -195,7 +253,7 @@ pub fn impl_cmpop(
for op in ops {
fields.insert(
comparison_name(*op).unwrap().into(),
op.op_info().method_name.into(),
(
unifier.add_ty(TypeEnum::TFunc(FunSignature {
ret: ret_ty,
@ -204,6 +262,7 @@ pub fn impl_cmpop(
ty: other_ty,
default_value: None,
name: "other".into(),
is_vararg: false,
}],
})),
false,
@ -429,12 +488,29 @@ 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 {
Ok(Some(match op.base {
Operator::Add | Operator::Sub | Operator::Mult | Operator::Mod | Operator::FloorDiv => {
if is_left_ndarray || is_right_ndarray {
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 {
typeof_ndarray_broadcast(unifier, primitives, lhs, rhs)?
} else if unifier.unioned(lhs, rhs) {
lhs
@ -604,6 +680,7 @@ 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;
@ -648,6 +725,11 @@ pub fn set_primitives_magic_methods(store: &PrimitiveStore, unifier: &mut Unifie
impl_sign(unifier, store, bool_t, Some(int32_t));
impl_eq(unifier, store, bool_t, &[bool_t, ndarray_bool_t], None);
/* list ======== */
impl_binop(unifier, store, list_t, &[list_t], Some(list_t), &[Operator::Add]);
impl_binop(unifier, store, list_t, &[int32_t, int64_t], Some(list_t), &[Operator::Mult]);
impl_cmpop(unifier, store, list_t, &[list_t], &[Cmpop::Eq, Cmpop::NotEq], Some(bool_t));
/* ndarray ===== */
let ndarray_usized_ndims_tvar =
unifier.get_fresh_const_generic_var(size_t, Some("ndarray_ndims".into()), None);

View File

@ -1,24 +1,46 @@
use std::collections::HashMap;
use std::fmt::Display;
use crate::typecheck::typedef::TypeEnum;
use crate::typecheck::{magic_methods::HasOpInfo, typedef::TypeEnum};
use super::typedef::{RecordKey, Type, Unifier};
use nac3parser::ast::{Location, StrRef};
use super::{
magic_methods::Binop,
typedef::{RecordKey, Type, Unifier},
};
use itertools::Itertools;
use nac3parser::ast::{Cmpop, Location, StrRef};
#[derive(Debug, Clone)]
pub enum TypeErrorKind {
TooManyArguments {
expected: usize,
got: usize,
GotMultipleValues {
name: StrRef,
},
TooManyArguments {
expected_min_count: usize,
expected_max_count: usize,
got_count: usize,
},
MissingArgs {
missing_arg_names: Vec<StrRef>,
},
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),
@ -34,6 +56,7 @@ pub enum TypeErrorKind {
},
RequiresTypeAnn,
PolymorphicFunctionPointer,
NoSuchAttribute(RecordKey, Type),
}
#[derive(Debug, Clone)]
@ -77,19 +100,49 @@ impl<'a> Display for DisplayTypeError<'a> {
use TypeErrorKind::*;
let mut notes = Some(HashMap::new());
match &self.err.kind {
TooManyArguments { expected, got } => {
write!(f, "Too many arguments. Expected {expected} but got {got}")
GotMultipleValues { name } => {
write!(f, "For multiple values for parameter {name}")
}
MissingArgs(args) => {
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(", ");
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 {name}. Expected {expected}, but got {got}")
write!(f, "Incorrect argument type for parameter {name}. Expected {expected}, but got {got}")
}
FieldUnificationError { field, types, loc } => {
let lhs = self.unifier.stringify_with_notes(types.0, &mut notes);
@ -130,9 +183,10 @@ impl<'a> Display for DisplayTypeError<'a> {
}
result
}
(TypeEnum::TTuple { ty: ty1 }, TypeEnum::TTuple { ty: ty2 })
if ty1.len() != ty2.len() =>
{
(
TypeEnum::TTuple { ty: ty1, is_vararg_ctx: is_vararg1 },
TypeEnum::TTuple { ty: ty2, is_vararg_ctx: is_vararg2 },
) if !is_vararg1 && !is_vararg2 && ty1.len() != ty2.len() => {
let t1 = self.unifier.stringify_with_notes(*t1, &mut notes);
let t2 = self.unifier.stringify_with_notes(*t2, &mut notes);
write!(f, "Tuple length mismatch: got {t1} and {t2}")
@ -156,6 +210,10 @@ 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,

File diff suppressed because it is too large Load Diff

View File

@ -83,7 +83,12 @@ impl TestEnvironment {
});
with_fields(&mut unifier, int32, |unifier, fields| {
let add_ty = unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "other".into(), ty: int32, default_value: None }],
args: vec![FuncArg {
name: "other".into(),
ty: int32,
default_value: None,
is_vararg: false,
}],
ret: int32,
vars: VarMap::new(),
}));
@ -139,6 +144,12 @@ 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);
@ -159,6 +170,7 @@ impl TestEnvironment {
uint32,
uint64,
option,
list,
ndarray,
size_t: 64,
};
@ -217,7 +229,12 @@ impl TestEnvironment {
});
with_fields(&mut unifier, int32, |unifier, fields| {
let add_ty = unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "other".into(), ty: int32, default_value: None }],
args: vec![FuncArg {
name: "other".into(),
ty: int32,
default_value: None,
is_vararg: false,
}],
ret: int32,
vars: VarMap::new(),
}));
@ -273,13 +290,33 @@ 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"]
for (i, name) in [
"int32",
"int64",
"float",
"bool",
"none",
"range",
"str",
"Exception",
"uint32",
"uint64",
"Option",
"list",
"ndarray",
]
.iter()
.enumerate()
{
@ -289,6 +326,7 @@ impl TestEnvironment {
object_id: DefinitionId(i),
type_vars: Vec::default(),
fields: Vec::default(),
attributes: Vec::default(),
methods: Vec::default(),
ancestors: Vec::default(),
resolver: None,
@ -298,7 +336,7 @@ impl TestEnvironment {
.into(),
);
}
let defs = 7;
let defs = 12;
let primitives = PrimitiveStore {
int32,
@ -312,6 +350,7 @@ impl TestEnvironment {
uint32,
uint64,
option,
list,
ndarray,
size_t: 64,
};
@ -331,6 +370,7 @@ 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,
@ -365,6 +405,7 @@ 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,
@ -393,6 +434,7 @@ 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,
@ -420,6 +462,11 @@ impl TestEnvironment {
"range".into(),
"str".into(),
"exception".into(),
"uint32".into(),
"uint64".into(),
"option".into(),
"list".into(),
"ndarray".into(),
"Foo".into(),
"Bar".into(),
"Bar2".into(),

View File

@ -1,19 +1,21 @@
use indexmap::IndexMap;
use itertools::Itertools;
use itertools::{repeat_n, Itertools};
use nac3parser::ast::{Cmpop, Location, StrRef, Unaryop};
use std::cell::RefCell;
use std::collections::HashMap;
use std::fmt::{self, Display};
use std::iter::zip;
use std::iter::{repeat, zip};
use std::rc::Rc;
use std::sync::{Arc, Mutex};
use std::{borrow::Cow, collections::HashSet};
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)]
@ -73,6 +75,28 @@ 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>,
@ -80,6 +104,9 @@ 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)]
@ -87,6 +114,14 @@ pub struct FuncArg {
pub name: StrRef,
pub ty: Type,
pub default_value: Option<SymbolValue>,
pub is_vararg: bool,
}
impl FuncArg {
#[must_use]
pub fn is_required(&self) -> bool {
self.default_value.is_none()
}
}
#[derive(Debug, Clone)]
@ -198,12 +233,12 @@ pub enum TypeEnum {
TTuple {
/// The types of elements present in this tuple.
ty: Vec<Type>,
},
/// A list type.
TList {
/// The type of elements present in this list.
ty: Type,
/// Whether this tuple is used in a vararg context.
///
/// If `true`, `ty` must only contain one type, and the tuple is assumed to contain any
/// number of `ty`-typed values.
is_vararg_ctx: bool,
},
/// An object type.
@ -239,7 +274,6 @@ impl TypeEnum {
TypeEnum::TVar { .. } => "TVar",
TypeEnum::TLiteral { .. } => "TConstant",
TypeEnum::TTuple { .. } => "TTuple",
TypeEnum::TList { .. } => "TList",
TypeEnum::TObj { .. } => "TObj",
TypeEnum::TVirtual { .. } => "TVirtual",
TypeEnum::TCall { .. } => "TCall",
@ -475,13 +509,31 @@ impl Unifier {
)
}
}
TypeEnum::TList { ty } => self
.get_instantiations(*ty)
.map(|ty| ty.iter().map(|&ty| self.add_ty(TypeEnum::TList { ty })).collect_vec()),
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::TVirtual { ty } => self.get_instantiations(*ty).map(|ty| {
ty.iter().map(|&ty| self.add_ty(TypeEnum::TVirtual { ty })).collect_vec()
}),
TypeEnum::TTuple { ty } => {
TypeEnum::TTuple { ty, is_vararg_ctx } => {
let tuples = ty
.iter()
.map(|ty| self.get_instantiations(*ty).unwrap_or_else(|| vec![*ty]))
@ -491,7 +543,12 @@ impl Unifier {
None
} else {
Some(
tuples.into_iter().map(|ty| self.add_ty(TypeEnum::TTuple { ty })).collect(),
tuples
.into_iter()
.map(|ty| {
self.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: *is_vararg_ctx })
})
.collect(),
)
}
}
@ -534,10 +591,8 @@ impl Unifier {
TVar { .. } => allowed_typevars.iter().any(|b| self.unification_table.unioned(a, *b)),
TCall { .. } => false,
TList { ty }
| TVirtual { ty } => self.is_concrete(*ty, allowed_typevars),
TTuple { ty } => ty.iter().all(|ty| self.is_concrete(*ty, allowed_typevars)),
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))
}
@ -562,61 +617,232 @@ 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);
}
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 {
// Get details about the function signature/parameters.
let num_params = signature.args.len();
let is_vararg = signature.args.iter().any(|arg| arg.is_vararg);
// 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::TooManyArguments {
expected: signature.args.len(),
got: posargs.len() + kwargs.len(),
TypeErrorKind::UnsupportedBinaryOpTypes {
operator: *operator,
lhs_type: *self_type,
rhs_type: other_type,
expected_rhs_type: expected_other_type,
},
*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)
})?;
}
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() {
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::MissingArgs(required.iter().join(", ")),
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 !is_vararg && 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(&param.name).unwrap();
param_info.has_been_supplied = true;
// Typecheck
type_check_arg(param.name, param.ty, arg_ty)?;
}
if is_vararg {
debug_assert!(!signature.args.is_empty());
let vararg_args = posargs.iter().skip(signature.args.len());
let vararg_param = signature.args.last().unwrap();
for (&arg_ty, param) in zip(vararg_args, repeat(vararg_param)) {
// `param_info` for this argument would've already been marked as supplied
// during non-vararg posarg typecheck
type_check_arg(param.name, param.ty, arg_ty)?;
}
}
// Now consume all keyword arguments and typecheck them.
for (&param_name, &arg_ty) in kwargs {
// We will also use this opportunity to check if this keyword argument is "legal".
let Some(param_info) = param_info_by_name.get_mut(&param_name) else {
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() {
@ -624,7 +850,10 @@ impl Unifier {
}
err
})?;
*fun.borrow_mut() = Some(instantiated);
}
}
*fun.borrow_mut() = Some(b);
self.discard_snapshot(snapshot);
Ok(())
@ -755,7 +984,10 @@ impl Unifier {
self.unify_impl(x, b, false)?;
self.set_a_to_b(a, x);
}
(TVar { fields: Some(fields), range, is_const_generic: false, .. }, TTuple { ty }) => {
(
TVar { fields: Some(fields), range, is_const_generic: false, .. },
TTuple { ty, .. },
) => {
let len = i32::try_from(ty.len()).unwrap();
for (k, v) in fields {
match *k {
@ -785,22 +1017,6 @@ 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, .. },
@ -868,24 +1084,50 @@ impl Unifier {
self.set_a_to_b(a, b);
}
(TTuple { ty: ty1 }, TTuple { ty: ty2 }) => {
if ty1.len() != ty2.len() {
return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
(
TTuple { ty: ty1, is_vararg_ctx: is_vararg1 },
TTuple { ty: ty2, is_vararg_ctx: is_vararg2 },
) => {
// Rules for Tuples:
// - ty1: is_vararg && ty2: is_vararg -> ty1[0] == ty2[0]
// - ty1: is_vararg && ty2: !is_vararg -> type error (not enough info to infer the correct number of arguments)
// - ty1: !is_vararg && ty2: is_vararg -> ty1[..] == ty2[0]
// - ty1: !is_vararg && ty2: !is_vararg -> ty1.len() == ty2.len() && ty1[i] == ty2[i]
debug_assert!(!is_vararg1 || ty1.len() == 1);
debug_assert!(!is_vararg2 || ty2.len() == 1);
match (*is_vararg1, *is_vararg2) {
(true, true) => {
if self.unify_impl(ty1[0], ty2[0], false).is_err() {
return Self::incompatible_types(a, b);
}
}
(true, false) => return Self::incompatible_types(a, b),
(false, true) => {
for y in ty2 {
if self.unify_impl(ty1[0], *y, false).is_err() {
return Self::incompatible_types(a, b);
}
}
}
(false, false) => {
if ty1.len() != ty2.len() {
return Self::incompatible_types(a, b);
}
for (x, y) in ty1.iter().zip(ty2.iter()) {
if self.unify_impl(*x, *y, false).is_err() {
return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
return Self::incompatible_types(a, b);
}
}
}
}
self.set_a_to_b(a, b);
}
(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, .. }) => {
(TVar { fields: Some(map), range, .. }, TObj { obj_id, fields, params }) => {
for (k, field) in map {
match *k {
RecordKey::Str(s) => {
@ -904,10 +1146,18 @@ 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,
))
));
}
}
}
}
@ -990,17 +1240,10 @@ 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, &required)?;
self.unify_call(&call, b, signature)?;
}
self.set_a_to_b(a, b);
}
@ -1124,13 +1367,22 @@ impl Unifier {
TypeEnum::TLiteral { values, .. } => {
format!("const({})", values.iter().map(|v| format!("{v:?}")).join(", "))
}
TypeEnum::TTuple { ty } => {
let mut fields =
ty.iter().map(|v| self.internal_stringify(*v, obj_to_name, var_to_name, notes));
TypeEnum::TTuple { ty, is_vararg_ctx } => {
if *is_vararg_ctx {
debug_assert_eq!(ty.len(), 1);
let field = self.internal_stringify(
*ty.iter().next().unwrap(),
obj_to_name,
var_to_name,
notes,
);
format!("tuple[*{field}]")
} else {
let mut fields = 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!(
@ -1155,17 +1407,21 @@ impl Unifier {
.args
.iter()
.map(|arg| {
let vararg_prefix = if arg.is_vararg { "*" } else { "" };
if let Some(dv) = &arg.default_value {
format!(
"{}:{}={}",
"{}:{}{}={}",
arg.name,
vararg_prefix,
self.internal_stringify(arg.ty, obj_to_name, var_to_name, notes),
dv
)
} else {
format!(
"{}:{}",
"{}:{}{}",
arg.name,
vararg_prefix,
self.internal_stringify(arg.ty, obj_to_name, var_to_name, notes)
)
}
@ -1251,7 +1507,7 @@ impl Unifier {
match &*ty {
TypeEnum::TRigidVar { .. } | TypeEnum::TLiteral { .. } => None,
TypeEnum::TVar { id, .. } => mapping.get(id).copied(),
TypeEnum::TTuple { ty } => {
TypeEnum::TTuple { ty, is_vararg_ctx } => {
let mut new_ty = Cow::from(ty);
for (i, t) in ty.iter().enumerate() {
if let Some(t1) = self.subst_impl(*t, mapping, cache) {
@ -1259,14 +1515,14 @@ impl Unifier {
}
}
if matches!(new_ty, Cow::Owned(_)) {
Some(self.add_ty(TypeEnum::TTuple { ty: new_ty.into_owned() }))
Some(self.add_ty(TypeEnum::TTuple {
ty: new_ty.into_owned(),
is_vararg_ctx: *is_vararg_ctx,
}))
} else {
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 })),
@ -1277,6 +1533,7 @@ 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 {
@ -1421,20 +1678,55 @@ impl Unifier {
}
}
(TVar { range, .. }, _) => self.check_var_compatibility(b, range).or(Err(())),
(TTuple { ty: ty1 }, TTuple { ty: ty2 }) if ty1.len() == ty2.len() => {
let ty: Vec<_> = zip(ty1.iter(), ty2.iter())
.map(|(a, b)| self.get_intersection(*a, *b))
.try_collect()?;
if ty.iter().any(Option::is_some) {
Ok(Some(self.add_ty(TTuple {
ty: zip(ty, ty1.iter()).map(|(a, b)| a.unwrap_or(*b)).collect(),
})))
(
TTuple { ty: ty1, is_vararg_ctx: is_vararg1 },
TTuple { ty: ty2, is_vararg_ctx: is_vararg2 },
) => {
if *is_vararg1 && *is_vararg2 {
let isect_ty = self.get_intersection(ty1[0], ty2[0])?;
Ok(isect_ty.map(|ty| self.add_ty(TTuple { ty: vec![ty], is_vararg_ctx: true })))
} else {
Ok(None)
let zip_iter: Box<dyn Iterator<Item = (&Type, &Type)>> =
match (*is_vararg1, *is_vararg2) {
(true, _) => Box::new(repeat_n(&ty1[0], ty2.len()).zip(ty2.iter())),
(_, false) => Box::new(ty1.iter().zip(repeat_n(&ty2[0], ty1.len()))),
_ => {
if ty1.len() != ty2.len() {
return Err(());
}
Box::new(ty1.iter().zip(ty2.iter()))
}
};
let ty: Vec<_> =
zip_iter.map(|(a, b)| self.get_intersection(*a, *b)).try_collect()?;
Ok(if ty.iter().any(Option::is_some) {
Some(self.add_ty(TTuple {
ty: zip(ty, ty1.iter()).map(|(a, b)| a.unwrap_or(*b)).collect(),
is_vararg_ctx: false,
}))
} else {
None
})
}
}
(TList { ty: ty1 }, TList { ty: ty2 }) => {
Ok(self.get_intersection(*ty1, *ty2)?.map(|ty| self.add_ty(TList { ty })))
// 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 }]),
})
}))
}
(TVirtual { ty: ty1 }, TVirtual { ty: ty2 }) => {
Ok(self.get_intersection(*ty1, *ty2)?.map(|ty| self.add_ty(TVirtual { ty })))

View File

@ -28,14 +28,14 @@ impl Unifier {
TypeEnum::TVar { fields: Some(map1), .. },
TypeEnum::TVar { fields: Some(map2), .. },
) => self.map_eq2(map1, map2),
(TypeEnum::TTuple { ty: ty1 }, TypeEnum::TTuple { ty: ty2 }) => {
(
TypeEnum::TTuple { ty: ty1, is_vararg_ctx: false },
TypeEnum::TTuple { ty: ty2, is_vararg_ctx: false },
) => {
ty1.len() == ty2.len()
&& ty1.iter().zip(ty2.iter()).all(|(t1, t2)| self.eq(*t1, *t2))
}
(TypeEnum::TList { ty: ty1 }, TypeEnum::TList { ty: ty2 })
| (TypeEnum::TVirtual { ty: ty1 }, TypeEnum::TVirtual { ty: ty2 }) => {
self.eq(*ty1, *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, .. },
@ -119,6 +119,15 @@ 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 }
}
@ -133,6 +142,36 @@ 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], "[");
@ -142,13 +181,7 @@ impl TestEnvironment {
ty.push(result.0);
s = result.1;
}
(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..])
(self.unifier.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: false }), &s[1..])
}
"Record" => {
let mut s = &typ[end..];
@ -274,7 +307,7 @@ fn test_unify(
("v1", "tuple[int]"),
("v2", "list[int]"),
],
(("v1", "v2"), "Incompatible types: list[0] and tuple[0]")
(("v1", "v2"), "Incompatible types: 11[0] and tuple[0]")
; "type mismatch"
)]
#[test_case(2,
@ -298,7 +331,7 @@ fn test_unify(
("v1", "Record[a=float,b=int]"),
("v2", "Foo[v3]"),
],
(("v1", "v2"), "`3[typevar4]::b` field/method does not exist")
(("v1", "v2"), "`3[typevar5]::b` field/method does not exist")
; "record obj merge"
)]
/// Test cases for invalid unifications.
@ -388,6 +421,14 @@ 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;
@ -398,7 +439,7 @@ 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 list[0]".to_string())
Err("Expected any one of these types: 0, 2, but got 11[0]".to_string())
);
// unification between v and float
@ -410,7 +451,11 @@ 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::TList { ty: v1 });
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 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)
@ -424,9 +469,10 @@ 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, list[typevar5], but got list[1]\n\nNotes:\n typevar5 ∈ {0, 2}".to_string())
Err("Expected any one of these types: 0, 11[typevar6], but got 11[1]\n\nNotes:\n typevar6 ∈ {0, 2}".to_string())
);
let a = env.unifier.get_fresh_var_with_range(&[int, float], None, None).ty;
@ -441,34 +487,66 @@ 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::TList { ty: a });
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.get_fresh_var_with_range(&[a_list], None, None).ty;
let b_list = env.unifier.add_ty(TypeEnum::TList { ty: b });
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.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::TList { ty: float });
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 }]),
});
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::TList { ty: a });
let b_list = env.unifier.add_ty(TypeEnum::TList { ty: b });
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 }]),
});
env.unifier.unify(a_list, b_list).unwrap();
let int_list = env.unifier.add_ty(TypeEnum::TList { ty: int });
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 }]),
});
assert_eq!(
env.unify(a_list, int_list),
Err("Incompatible types: list[typevar22] and list[0]\
\n\nNotes:\n typevar22 {1}"
Err("Incompatible types: 11[typevar23] and 11[0]\
\n\nNotes:\n typevar23 {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::TList { ty: a });
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.get_fresh_var_with_range(&[a_list], None, None).ty;
let b_list = env.unifier.add_ty(TypeEnum::TList { ty: b });
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 }]),
});
env.unifier.unify(a_list, b_list).unwrap();
assert_eq!(
env.unify(b, boolean),
@ -482,16 +560,25 @@ 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_a = env.unifier.add_ty(TypeEnum::TList { ty: a });
let list_x = env.unifier.add_ty(TypeEnum::TList { ty: x });
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 int = env.parse("int", &HashMap::new());
let list_int = env.parse("list[int]", &HashMap::new());
assert_eq!(env.unify(a, b), Err("Incompatible types: typevar3 and typevar2".to_string()));
assert_eq!(env.unify(a, b), Err("Incompatible types: typevar4 and typevar3".to_string()));
env.unifier.unify(list_a, list_x).unwrap();
assert_eq!(
env.unify(list_x, list_int),
Err("Incompatible types: list[typevar2] and list[0]".to_string())
Err("Incompatible types: 11[typevar3] and 11[0]".to_string())
);
env.unifier.replace_rigid_var(a, int);
@ -506,14 +593,25 @@ fn test_instantiation() {
let float = env.parse("float", &HashMap::new());
let list_int = env.parse("list[int]", &HashMap::new());
let obj_map: HashMap<_, _> = [(0usize, "int"), (1, "float"), (2, "bool")].into();
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 v = env.unifier.get_fresh_var_with_range(&[int, boolean], None, None).ty;
let list_v = env.unifier.add_ty(TypeEnum::TList { ty: v });
let list_v = env
.unifier
.subst(env.type_mapping["list"], &into_var_map([TypeVar { id: list_elem_tvar.id, ty: v }]))
.unwrap();
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;
let tuple = env.unifier.add_ty(TypeEnum::TTuple { ty: vec![v, v1, v2] });
let tuple = env.unifier.add_ty(TypeEnum::TTuple { ty: vec![v, v1, v2], is_vararg_ctx: false });
let v3 = env.unifier.get_fresh_var_with_range(&[tuple, t], None, None).ty;
// t = TypeVar('t')
// v = TypeVar('v', int, bool)
@ -536,7 +634,7 @@ fn test_instantiation() {
tuple[int, list[bool], list[int]]
tuple[int, list[int], float]
tuple[int, list[int], list[int]]
v5"
v6"
}
.split('\n')
.collect_vec();

View File

@ -3,23 +3,55 @@
set -e
if [ -z "$1" ]; then
echo "Requires at least one argument"
echo "No argument supplied"
exit 1
fi
declare -a nac3args
while [ $# -ge 2 ]; do
case "$1" in
--help)
echo "Usage: check_demo.sh [-i686] -- demo [NAC3ARGS...]"
exit
;;
-i686)
i686=1
;;
--)
shift
break
;;
*)
break
;;
esac
shift
done
demo="$1"
shift
while [ $# -gt 1 ]; do
nac3args+=("$1")
shift
done
demo="$1"
echo -n "Checking $demo... "
echo "### Checking $demo..."
echo ">>>>>> Running $demo with the Python interpreter"
./interpret_demo.py "$demo" > interpreted.log
./run_demo.sh --out run.log "${nac3args[@]}" "$demo"
./run_demo.sh --lli --out run_lli.log "${nac3args[@]}" "$demo"
diff -Nau interpreted.log run.log
diff -Nau interpreted.log run_lli.log
echo "ok"
rm -f interpreted.log run.log run_lli.log
if [ -n "$i686" ]; then
echo "...... Trying NAC3's 32-bit code generator output"
./run_demo.sh -i686 --out run_32.log "${nac3args[@]}" "$demo"
diff -Nau interpreted.log run_32.log
fi
echo "...... Trying NAC3's 64-bit code generator output"
./run_demo.sh --out run_64.log "${nac3args[@]}" "$demo"
diff -Nau interpreted.log run_64.log
echo "...... OK"
rm -f interpreted.log \
run_32.log run_64.log

View File

@ -6,8 +6,6 @@
#include <stdlib.h>
#include <string.h>
#define usize size_t
double dbl_nan(void) {
return NAN;
}
@ -44,6 +42,15 @@ 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) {
@ -55,14 +62,14 @@ void output_asciiart(int32_t x) {
struct cslice {
void *data;
usize len;
size_t len;
};
void output_int32_list(struct cslice *slice) {
const int32_t *data = (int32_t *) slice->data;
putchar('[');
for (usize i = 0; i < slice->len; ++i) {
for (size_t i = 0; i < slice->len; ++i) {
if (i == slice->len - 1) {
printf("%d", data[i]);
} else {
@ -76,9 +83,13 @@ void output_int32_list(struct cslice *slice) {
void output_str(struct cslice *slice) {
const char *data = (const char *) slice->data;
for (usize i = 0; i < slice->len; ++i) {
for (size_t i = 0; i < slice->len; ++i) {
putchar(data[i]);
}
}
void output_strln(struct cslice *slice) {
output_str(slice);
putchar('\n');
}
@ -94,8 +105,25 @@ uint32_t __nac3_personality(uint32_t state, uint32_t exception_object, uint32_t
__builtin_unreachable();
}
uint32_t __nac3_raise(uint32_t state, uint32_t exception_object, uint32_t context) {
printf("__nac3_raise(state: %u, exception_object: %u, context: %u)\n", state, exception_object, context);
// See `struct Exception<'a>` in
// https://github.com/m-labs/artiq/blob/master/artiq/firmware/libeh/eh_artiq.rs
struct Exception {
uint32_t id;
struct cslice file;
uint32_t line;
uint32_t column;
struct cslice function;
struct cslice message;
int64_t param[3];
};
uint32_t __nac3_raise(struct Exception* e) {
printf("__nac3_raise called. Exception details:\n");
printf(" ID: %"PRIu32"\n", e->id);
printf(" Location: %*s:%"PRIu32":%"PRIu32"\n" , (int) e->file.len, (const char*) e->file.data, e->line, e->column);
printf(" Function: %*s\n" , (int) e->function.len, (const char*) e->function.data);
printf(" Message: \"%*s\"\n" , (int) e->message.len, (const char*) e->message.data);
printf(" Params: {0}=%"PRId64", {1}=%"PRId64", {2}=%"PRId64"\n", e->param[0], e->param[1], e->param[2]);
exit(101);
__builtin_unreachable();
}

View File

@ -6,6 +6,7 @@ import importlib.machinery
import math
import numpy as np
import numpy.typing as npt
import scipy as sp
import pathlib
from numpy import int32, int64, uint32, uint64
@ -107,6 +108,9 @@ def patch(module):
def output_float(x):
print("%f" % x)
def output_strln(x):
print(x, end='')
def dbg_stack_address(_):
return 0
@ -120,6 +124,8 @@ 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",
@ -127,7 +133,8 @@ def patch(module):
"output_int32_list",
"output_uint32",
"output_uint64",
"output_str",
"output_strln",
"output_range",
}:
return print
elif name == "dbg_stack_address":
@ -161,7 +168,7 @@ def patch(module):
module.ceil64 = _ceil
module.np_ceil = np.ceil
# NumPy ndarray functions
# NumPy NDArray factory functions
module.ndarray = NDArray
module.np_ndarray = np.ndarray
module.np_empty = np.empty
@ -177,8 +184,10 @@ def patch(module):
module.np_isinf = np.isinf
module.np_min = np.min
module.np_minimum = np.minimum
module.np_argmin = np.argmin
module.np_max = np.max
module.np_maximum = np.maximum
module.np_argmax = np.argmax
module.np_sin = np.sin
module.np_cos = np.cos
module.np_exp = np.exp
@ -209,8 +218,10 @@ def patch(module):
module.np_ldexp = np.ldexp
module.np_hypot = np.hypot
module.np_nextafter = np.nextafter
module.np_transpose = np.transpose
module.np_reshape = np.reshape
# SciPy Math Functions
# SciPy Math functions
module.sp_spec_erf = special.erf
module.sp_spec_erfc = special.erfc
module.sp_spec_gamma = special.gamma
@ -218,14 +229,19 @@ def patch(module):
module.sp_spec_j0 = special.j0
module.sp_spec_j1 = special.j1
# NumPy NDArray Functions
module.np_ndarray = np.ndarray
module.np_empty = np.empty
module.np_zeros = np.zeros
module.np_ones = np.ones
module.np_full = np.full
module.np_eye = np.eye
module.np_identity = np.identity
# Linalg functions
module.np_dot = np.dot
module.np_linalg_cholesky = np.linalg.cholesky
module.np_linalg_qr = np.linalg.qr
module.np_linalg_svd = np.linalg.svd
module.np_linalg_inv = np.linalg.inv
module.np_linalg_pinv = np.linalg.pinv
module.np_linalg_matrix_power = np.linalg.matrix_power
module.np_linalg_det = np.linalg.det
module.sp_linalg_lu = lambda x: sp.linalg.lu(x, True)
module.sp_linalg_schur = sp.linalg.schur
module.sp_linalg_hessenberg = lambda x: sp.linalg.hessenberg(x, True)
def file_import(filename, prefix="file_import_"):
filename = pathlib.Path(filename)

114
nac3standalone/demo/linalg/Cargo.lock generated Normal file
View File

@ -0,0 +1,114 @@
# This file is automatically @generated by Cargo.
# It is not intended for manual editing.
version = 3
[[package]]
name = "approx"
version = "0.5.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "cab112f0a86d568ea0e627cc1d6be74a1e9cd55214684db5561995f6dad897c6"
dependencies = [
"num-traits",
]
[[package]]
name = "autocfg"
version = "1.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0c4b4d0bd25bd0b74681c0ad21497610ce1b7c91b1022cd21c80c6fbdd9476b0"
[[package]]
name = "cslice"
version = "0.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0f8cb7306107e4b10e64994de6d3274bd08996a7c1322a27b86482392f96be0a"
[[package]]
name = "libm"
version = "0.2.8"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4ec2a862134d2a7d32d7983ddcdd1c4923530833c9f2ea1a44fc5fa473989058"
[[package]]
name = "linalg"
version = "0.1.0"
dependencies = [
"cslice",
"nalgebra",
]
[[package]]
name = "nalgebra"
version = "0.32.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7b5c17de023a86f59ed79891b2e5d5a94c705dbe904a5b5c9c952ea6221b03e4"
dependencies = [
"approx",
"num-complex",
"num-rational",
"num-traits",
"simba",
"typenum",
]
[[package]]
name = "num-complex"
version = "0.4.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "73f88a1307638156682bada9d7604135552957b7818057dcef22705b4d509495"
dependencies = [
"num-traits",
]
[[package]]
name = "num-integer"
version = "0.1.46"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7969661fd2958a5cb096e56c8e1ad0444ac2bbcd0061bd28660485a44879858f"
dependencies = [
"num-traits",
]
[[package]]
name = "num-rational"
version = "0.4.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f83d14da390562dca69fc84082e73e548e1ad308d24accdedd2720017cb37824"
dependencies = [
"num-integer",
"num-traits",
]
[[package]]
name = "num-traits"
version = "0.2.19"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "071dfc062690e90b734c0b2273ce72ad0ffa95f0c74596bc250dcfd960262841"
dependencies = [
"autocfg",
"libm",
]
[[package]]
name = "paste"
version = "1.0.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "57c0d7b74b563b49d38dae00a0c37d4d6de9b432382b2892f0574ddcae73fd0a"
[[package]]
name = "simba"
version = "0.8.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "061507c94fc6ab4ba1c9a0305018408e312e17c041eb63bef8aa726fa33aceae"
dependencies = [
"approx",
"num-complex",
"num-traits",
"paste",
]
[[package]]
name = "typenum"
version = "1.17.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "42ff0bf0c66b8238c6f3b578df37d0b7848e55df8577b3f74f92a69acceeb825"

View File

@ -0,0 +1,13 @@
[package]
name = "linalg"
version = "0.1.0"
edition = "2021"
[lib]
crate-type = ["staticlib"]
[dependencies]
nalgebra = {version = "0.32.6", default-features = false, features = ["libm", "alloc"]}
cslice = "0.3.0"
[workspace]

View File

@ -0,0 +1,406 @@
// Uses `nalgebra` crate to invoke `np_linalg` and `sp_linalg` functions
// When converting between `nalgebra::Matrix` and `NDArray` following considerations are necessary
//
// * Both `nalgebra::Matrix` and `NDArray` require their content to be stored in row-major order
// * `NDArray` data pointer can be directly read and converted to `nalgebra::Matrix` (row and column number must be known)
// * `nalgebra::Matrix::as_slice` returns the content of matrix in column-major order and initial data needs to be transposed before storing it in `NDArray` data pointer
use core::slice;
use nalgebra::DMatrix;
fn report_error(
error_name: &str,
fn_name: &str,
file_name: &str,
line_num: u32,
col_num: u32,
err_msg: &str,
) -> ! {
panic!(
"Exception {} from {} in {}:{}:{}, message: {}",
error_name, fn_name, file_name, line_num, col_num, err_msg
);
}
pub struct InputMatrix {
pub ndims: usize,
pub dims: *const usize,
pub data: *mut f64,
}
impl InputMatrix {
fn get_dims(&mut self) -> Vec<usize> {
let dims = unsafe { slice::from_raw_parts(self.dims, self.ndims) };
dims.to_vec()
}
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_cholesky(mat1: *mut InputMatrix, out: *mut InputMatrix) {
let mat1 = mat1.as_mut().unwrap();
let out = out.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "np_linalg_cholesky", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
if dim1[0] != dim1[1] {
let err_msg =
format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
report_error("LinAlgError", "np_linalg_cholesky", file!(), line!(), column!(), &err_msg);
}
let outdim = out.get_dims();
let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let result = matrix1.cholesky();
match result {
Some(res) => {
out_slice.copy_from_slice(res.unpack().transpose().as_slice());
}
None => {
report_error(
"LinAlgError",
"np_linalg_cholesky",
file!(),
line!(),
column!(),
"Matrix is not positive definite",
);
}
};
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_qr(
mat1: *mut InputMatrix,
out_q: *mut InputMatrix,
out_r: *mut InputMatrix,
) {
let mat1 = mat1.as_mut().unwrap();
let out_q = out_q.as_mut().unwrap();
let out_r = out_r.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "np_linalg_cholesky", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
let outq_dim = (*out_q).get_dims();
let outr_dim = (*out_r).get_dims();
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let out_q_slice = unsafe { slice::from_raw_parts_mut(out_q.data, outq_dim[0] * outq_dim[1]) };
let out_r_slice = unsafe { slice::from_raw_parts_mut(out_r.data, outr_dim[0] * outr_dim[1]) };
// Refer to https://github.com/dimforge/nalgebra/issues/735
let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let res = matrix1.qr();
let (q, r) = res.unpack();
// Uses different algo need to match numpy
out_q_slice.copy_from_slice(q.transpose().as_slice());
out_r_slice.copy_from_slice(r.transpose().as_slice());
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_svd(
mat1: *mut InputMatrix,
outu: *mut InputMatrix,
outs: *mut InputMatrix,
outvh: *mut InputMatrix,
) {
let mat1 = mat1.as_mut().unwrap();
let outu = outu.as_mut().unwrap();
let outs = outs.as_mut().unwrap();
let outvh = outvh.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "np_linalg_svd", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
let outu_dim = (*outu).get_dims();
let outs_dim = (*outs).get_dims();
let outvh_dim = (*outvh).get_dims();
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let out_u_slice = unsafe { slice::from_raw_parts_mut(outu.data, outu_dim[0] * outu_dim[1]) };
let out_s_slice = unsafe { slice::from_raw_parts_mut(outs.data, outs_dim[0]) };
let out_vh_slice =
unsafe { slice::from_raw_parts_mut(outvh.data, outvh_dim[0] * outvh_dim[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let result = matrix.svd(true, true);
out_u_slice.copy_from_slice(result.u.unwrap().transpose().as_slice());
out_s_slice.copy_from_slice(result.singular_values.as_slice());
out_vh_slice.copy_from_slice(result.v_t.unwrap().transpose().as_slice());
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_inv(mat1: *mut InputMatrix, out: *mut InputMatrix) {
let mat1 = mat1.as_mut().unwrap();
let out = out.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "np_linalg_inv", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
if dim1[0] != dim1[1] {
let err_msg =
format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
report_error("LinAlgError", "np_linalg_inv", file!(), line!(), column!(), &err_msg);
}
let outdim = out.get_dims();
let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
if !matrix.is_invertible() {
report_error(
"LinAlgError",
"np_linalg_inv",
file!(),
line!(),
column!(),
"no inverse for Singular Matrix",
);
}
let inv = matrix.try_inverse().unwrap();
out_slice.copy_from_slice(inv.transpose().as_slice());
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_pinv(mat1: *mut InputMatrix, out: *mut InputMatrix) {
let mat1 = mat1.as_mut().unwrap();
let out = out.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "np_linalg_pinv", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
let outdim = out.get_dims();
let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let svd = matrix.svd(true, true);
let inv = svd.pseudo_inverse(1e-15);
match inv {
Ok(m) => {
out_slice.copy_from_slice(m.transpose().as_slice());
}
Err(err_msg) => {
report_error("LinAlgError", "np_linalg_pinv", file!(), line!(), column!(), err_msg);
}
}
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_matrix_power(
mat1: *mut InputMatrix,
mat2: *mut InputMatrix,
out: *mut InputMatrix,
) {
let mat1 = mat1.as_mut().unwrap();
let mat2 = mat2.as_mut().unwrap();
let out = out.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D", mat1.ndims);
report_error("ValueError", "np_linalg_matrix_power", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
let power = unsafe { slice::from_raw_parts_mut(mat2.data, 1) };
let power = power[0];
let outdim = out.get_dims();
let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let abs_pow = power.abs();
let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let mut result = matrix1.pow(abs_pow as u32);
if power < 0.0 {
if !result.is_invertible() {
report_error(
"LinAlgError",
"np_linalg_inv",
file!(),
line!(),
column!(),
"no inverse for Singular Matrix",
);
}
result = result.try_inverse().unwrap();
}
out_slice.copy_from_slice(result.transpose().as_slice());
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_det(mat1: *mut InputMatrix, out: *mut InputMatrix) {
let mat1 = mat1.as_mut().unwrap();
let out = out.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "np_linalg_det", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
let out_slice = unsafe { slice::from_raw_parts_mut(out.data, 1) };
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
if !matrix.is_square() {
let err_msg =
format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
report_error("LinAlgError", "np_linalg_inv", file!(), line!(), column!(), &err_msg);
}
out_slice[0] = matrix.determinant();
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn sp_linalg_lu(
mat1: *mut InputMatrix,
out_l: *mut InputMatrix,
out_u: *mut InputMatrix,
) {
let mat1 = mat1.as_mut().unwrap();
let out_l = out_l.as_mut().unwrap();
let out_u = out_u.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "sp_linalg_lu", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
let outl_dim = (*out_l).get_dims();
let outu_dim = (*out_u).get_dims();
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let out_l_slice = unsafe { slice::from_raw_parts_mut(out_l.data, outl_dim[0] * outl_dim[1]) };
let out_u_slice = unsafe { slice::from_raw_parts_mut(out_u.data, outu_dim[0] * outu_dim[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let (_, l, u) = matrix.lu().unpack();
out_l_slice.copy_from_slice(l.transpose().as_slice());
out_u_slice.copy_from_slice(u.transpose().as_slice());
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn sp_linalg_schur(
mat1: *mut InputMatrix,
out_t: *mut InputMatrix,
out_z: *mut InputMatrix,
) {
let mat1 = mat1.as_mut().unwrap();
let out_t = out_t.as_mut().unwrap();
let out_z = out_z.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "sp_linalg_schur", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
if dim1[0] != dim1[1] {
let err_msg =
format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
report_error("LinAlgError", "np_linalg_schur", file!(), line!(), column!(), &err_msg);
}
let out_t_dim = (*out_t).get_dims();
let out_z_dim = (*out_z).get_dims();
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let out_t_slice = unsafe { slice::from_raw_parts_mut(out_t.data, out_t_dim[0] * out_t_dim[1]) };
let out_z_slice = unsafe { slice::from_raw_parts_mut(out_z.data, out_z_dim[0] * out_z_dim[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let (z, t) = matrix.schur().unpack();
out_t_slice.copy_from_slice(t.transpose().as_slice());
out_z_slice.copy_from_slice(z.transpose().as_slice());
}
/// # Safety
///
/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn sp_linalg_hessenberg(
mat1: *mut InputMatrix,
out_h: *mut InputMatrix,
out_q: *mut InputMatrix,
) {
let mat1 = mat1.as_mut().unwrap();
let out_h = out_h.as_mut().unwrap();
let out_q = out_q.as_mut().unwrap();
if mat1.ndims != 2 {
let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
report_error("ValueError", "sp_linalg_hessenberg", file!(), line!(), column!(), &err_msg);
}
let dim1 = (*mat1).get_dims();
if dim1[0] != dim1[1] {
let err_msg =
format!("last 2 dimensions of the array must be square: {} != {}", dim1[0], dim1[1]);
report_error("LinAlgError", "sp_linalg_hessenberg", file!(), line!(), column!(), &err_msg);
}
let out_h_dim = (*out_h).get_dims();
let out_q_dim = (*out_q).get_dims();
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
let out_h_slice = unsafe { slice::from_raw_parts_mut(out_h.data, out_h_dim[0] * out_h_dim[1]) };
let out_q_slice = unsafe { slice::from_raw_parts_mut(out_q.data, out_q_dim[0] * out_q_dim[1]) };
let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let (q, h) = matrix.hessenberg().unpack();
out_h_slice.copy_from_slice(h.transpose().as_slice());
out_q_slice.copy_from_slice(q.transpose().as_slice());
}

View File

@ -2,6 +2,9 @@
set -e
: "${DEMO_LINALG_STUB:=linalg/target/release/liblinalg.a}"
: "${DEMO_LINALG_STUB32:=linalg/target/i686-unknown-linux-gnu/release/liblinalg.a}"
if [ -z "$1" ]; then
echo "No argument supplied"
exit 1
@ -11,19 +14,19 @@ declare -a nac3args
while [ $# -ge 1 ]; do
case "$1" in
--help)
echo "Usage: run_demo.sh [--help] [--out OUTFILE] [--lli] [--debug] -- [NAC3ARGS...]"
echo "Usage: run_demo.sh [--help] [--out OUTFILE] [--debug] [-i686] -- [NAC3ARGS...]"
exit
;;
--out)
shift
outfile="$1"
;;
--lli)
use_lli=1
;;
--debug)
debug=1
;;
-i686)
i686=1
;;
--)
shift
break
@ -50,29 +53,19 @@ else
fi
rm -f ./*.o ./*.bc demo
if [ -z "$use_lli" ]; then
$nac3standalone "${nac3args[@]}"
if [ -z "$i686" ]; then
$nac3standalone "${nac3args[@]}"
clang -c -std=gnu11 -Wall -Wextra -O3 -o demo.o demo.c
clang -lm -o demo module.o demo.o
clang -o demo module.o demo.o $DEMO_LINALG_STUB -lm -Wl,--no-warn-search-mismatch
else
$nac3standalone --triple i686-unknown-linux-gnu "${nac3args[@]}"
clang -m32 -c -std=gnu11 -Wall -Wextra -O3 -msse2 -o demo.o demo.c
clang -m32 -o demo module.o demo.o $DEMO_LINALG_STUB32 -lm -Wl,--no-warn-search-mismatch
fi
if [ -z "$outfile" ]; then
./demo
else
./demo > "$outfile"
fi
else
$nac3standalone --emit-llvm "${nac3args[@]}"
clang -c -std=gnu11 -Wall -Wextra -O3 -emit-llvm -o demo.bc demo.c
shopt -s nullglob
llvm-link -o nac3out.bc module*.bc main.bc
shopt -u nullglob
if [ -z "$outfile" ]; then
lli --extra-module demo.bc --extra-module irrt.bc nac3out.bc
else
lli --extra-module demo.bc --extra-module irrt.bc nac3out.bc > "$outfile"
fi
fi

View File

@ -0,0 +1,66 @@
@extern
def output_int32(x: int32):
...
@extern
def output_bool(x: bool):
...
def example1():
x, *ys, z = (1, 2, 3, 4, 5)
output_int32(x)
output_int32(ys[0])
output_int32(ys[1])
output_int32(ys[2])
output_int32(z)
def example2():
x, y, *zs = (1, 2, 3, 4, 5)
output_int32(x)
output_int32(y)
output_int32(zs[0])
output_int32(zs[1])
output_int32(zs[2])
def example3():
*xs, y, z = (1, 2, 3, 4, 5)
output_int32(xs[0])
output_int32(xs[1])
output_int32(xs[2])
output_int32(y)
output_int32(z)
def example4():
# Example from: https://docs.python.org/3/reference/simple_stmts.html#assignment-statements
x = [0, 1]
i = 0
i, x[i] = 1, 2 # i is updated, then x[i] is updated
output_int32(i)
output_int32(x[0])
output_int32(x[1])
class A:
value: int32
def __init__(self):
self.value = 1000
def example5():
ws = [88, 7, 8]
a = A()
x, [y, *ys, a.value], ws[0], (ws[0],) = 1, (2, False, 4, 5), 99, (6,)
output_int32(x)
output_int32(y)
output_bool(ys[0])
output_int32(ys[1])
output_int32(a.value)
output_int32(ws[0])
output_int32(ws[1])
output_int32(ws[2])
def run() -> int32:
example1()
example2()
example3()
example4()
example5()
return 0

View File

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

View File

@ -22,6 +22,10 @@ def output_uint64(x: uint64):
def output_float64(x: float):
...
@extern
def output_range(x: range):
...
@extern
def output_int32_list(x: list[int32]):
...
@ -34,6 +38,10 @@ 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)
@ -59,6 +67,15 @@ 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)
@ -68,7 +85,8 @@ def test_output_int32_list():
output_int32_list([0, 1, 3, 5, 10])
def test_output_str_family():
output_str("hello world")
output_str("hello")
output_strln(" world")
def run() -> int32:
test_output_bool()
@ -77,6 +95,7 @@ def run() -> int32:
test_output_uint32()
test_output_uint64()
test_output_float64()
test_output_range()
test_output_asciiart()
test_output_int32_list()
test_output_str_family()

View File

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

View File

@ -23,11 +23,12 @@ 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")
output_str(" is a prime number\n")
return 0

View File

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

View File

@ -71,17 +71,44 @@ 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():
n: ndarray[float, 1] = np_empty([1])
consume_ndarray_1(n)
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)
def test_ndarray_zeros():
n: ndarray[float, 1] = np_zeros([1])
output_ndarray_float_1(n)
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)
def test_ndarray_ones():
n: ndarray[float, 1] = np_ones([1])
@ -840,6 +867,13 @@ def test_ndarray_minimum_broadcast_rhs_scalar():
output_ndarray_float_2(min_x_zeros)
output_ndarray_float_2(min_x_ones)
def test_ndarray_argmin():
x = np_array([[1., 2.], [3., 4.]])
y = np_argmin(x)
output_ndarray_float_2(x)
output_int64(y)
def test_ndarray_max():
x = np_identity(2)
y = np_max(x)
@ -883,6 +917,13 @@ def test_ndarray_maximum_broadcast_rhs_scalar():
output_ndarray_float_2(max_x_zeros)
output_ndarray_float_2(max_x_ones)
def test_ndarray_argmax():
x = np_array([[1., 2.], [3., 4.]])
y = np_argmax(x)
output_ndarray_float_2(x)
output_int64(y)
def test_ndarray_abs():
x = np_identity(2)
y = abs(x)
@ -1388,6 +1429,142 @@ def test_ndarray_nextafter_broadcast_rhs_scalar():
output_ndarray_float_2(nextafter_x_zeros)
output_ndarray_float_2(nextafter_x_ones)
def test_ndarray_transpose():
x: ndarray[float, 2] = np_array([[1., 2., 3.], [4., 5., 6.]])
y = np_transpose(x)
z = np_transpose(y)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_reshape():
w: ndarray[float, 1] = np_array([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
x = np_reshape(w, (1, 2, 1, -1))
y = np_reshape(x, [2, -1])
z = np_reshape(y, 10)
x1: ndarray[int32, 1] = np_array([1, 2, 3, 4])
x2: ndarray[int32, 2] = np_reshape(x1, (2, 2))
output_ndarray_float_1(w)
output_ndarray_float_2(y)
output_ndarray_float_1(z)
def test_ndarray_dot():
x1: ndarray[float, 1] = np_array([5.0, 1.0, 4.0, 2.0])
y1: ndarray[float, 1] = np_array([5.0, 1.0, 6.0, 6.0])
z1 = np_dot(x1, y1)
x2: ndarray[int32, 1] = np_array([5, 1, 4, 2])
y2: ndarray[int32, 1] = np_array([5, 1, 6, 6])
z2 = np_dot(x2, y2)
x3: ndarray[bool, 1] = np_array([True, True, True, True])
y3: ndarray[bool, 1] = np_array([True, True, True, True])
z3 = np_dot(x3, y3)
z4 = np_dot(2, 3)
z5 = np_dot(2., 3.)
z6 = np_dot(True, False)
output_float64(z1)
output_int32(z2)
output_bool(z3)
output_int32(z4)
output_float64(z5)
output_bool(z6)
def test_ndarray_cholesky():
x: ndarray[float, 2] = np_array([[5.0, 1.0], [1.0, 4.0]])
y = np_linalg_cholesky(x)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_qr():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
y, z = np_linalg_qr(x)
output_ndarray_float_2(x)
# QR Factorization is not unique and gives different results in numpy and nalgebra
# Reverting the decomposition to compare the initial arrays
a = y @ z
output_ndarray_float_2(a)
def test_ndarray_linalg_inv():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
y = np_linalg_inv(x)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_pinv():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5]])
y = np_linalg_pinv(x)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_matrix_power():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
y = np_linalg_matrix_power(x, -9)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_det():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
y = np_linalg_det(x)
output_ndarray_float_2(x)
output_float64(y)
def test_ndarray_schur():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
t, z = sp_linalg_schur(x)
output_ndarray_float_2(x)
# Schur Factorization is not unique and gives different results in scipy and nalgebra
# Reverting the decomposition to compare the initial arrays
a = (z @ t) @ np_linalg_inv(z)
output_ndarray_float_2(a)
def test_ndarray_hessenberg():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 5.0, 8.5]])
h, q = sp_linalg_hessenberg(x)
output_ndarray_float_2(x)
# Hessenberg Factorization is not unique and gives different results in scipy and nalgebra
# Reverting the decomposition to compare the initial arrays
a = (q @ h) @ np_linalg_inv(q)
output_ndarray_float_2(a)
def test_ndarray_lu():
x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5]])
l, u = sp_linalg_lu(x)
output_ndarray_float_2(x)
output_ndarray_float_2(l)
output_ndarray_float_2(u)
def test_ndarray_svd():
w: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
x, y, z = np_linalg_svd(w)
output_ndarray_float_2(w)
# SVD Factorization is not unique and gives different results in numpy and nalgebra
# Reverting the decomposition to compare the initial arrays
a = x @ z
output_ndarray_float_2(a)
output_ndarray_float_1(y)
def run() -> int32:
test_ndarray_ctor()
test_ndarray_empty()
@ -1497,11 +1674,13 @@ def run() -> int32:
test_ndarray_minimum_broadcast()
test_ndarray_minimum_broadcast_lhs_scalar()
test_ndarray_minimum_broadcast_rhs_scalar()
test_ndarray_argmin()
test_ndarray_max()
test_ndarray_maximum()
test_ndarray_maximum_broadcast()
test_ndarray_maximum_broadcast_lhs_scalar()
test_ndarray_maximum_broadcast_rhs_scalar()
test_ndarray_argmax()
test_ndarray_abs()
test_ndarray_isnan()
test_ndarray_isinf()
@ -1564,5 +1743,18 @@ def run() -> int32:
test_ndarray_nextafter_broadcast()
test_ndarray_nextafter_broadcast_lhs_scalar()
test_ndarray_nextafter_broadcast_rhs_scalar()
test_ndarray_transpose()
test_ndarray_reshape()
test_ndarray_dot()
test_ndarray_cholesky()
test_ndarray_qr()
test_ndarray_svd()
test_ndarray_linalg_inv()
test_ndarray_pinv()
test_ndarray_matrix_power()
test_ndarray_det()
test_ndarray_lu()
test_ndarray_schur()
test_ndarray_hessenberg()
return 0

View File

@ -0,0 +1,11 @@
def f(*args: int32):
pass
def run() -> int32:
f()
f(1)
f(1, 2)
f(1, 2, 3)
return 0

View File

@ -9,15 +9,11 @@
#![allow(clippy::too_many_lines, clippy::wildcard_imports)]
use clap::Parser;
use inkwell::context::Context;
use inkwell::{
memory_buffer::MemoryBuffer, passes::PassBuilderOptions, support::is_multithreaded, targets::*,
OptimizationLevel,
};
use parking_lot::{Mutex, RwLock};
use std::collections::HashSet;
use std::num::NonZeroUsize;
use std::{collections::HashMap, fs, path::Path, sync::Arc};
use nac3core::{
codegen::{
concrete_type::ConcreteTypeStore, irrt::load_irrt, CodeGenLLVMOptions,
@ -39,6 +35,10 @@ use nac3parser::{
ast::{Constant, Expr, ExprKind, StmtKind, StrRef},
parser,
};
use parking_lot::{Mutex, RwLock};
use std::collections::HashSet;
use std::num::NonZeroUsize;
use std::{collections::HashMap, fs, path::Path, sync::Arc};
mod basic_symbol_resolver;
use basic_symbol_resolver::*;
@ -113,7 +113,9 @@ fn handle_typevar_definition(
x,
HashMap::new(),
)?;
get_type_from_type_annotation_kinds(def_list, unifier, &ty, &mut None)
get_type_from_type_annotation_kinds(
def_list, unifier, primitives, &ty, &mut None,
)
})
.collect::<Result<Vec<_>, _>>()?;
let loc = func.location;
@ -152,7 +154,7 @@ fn handle_typevar_definition(
HashMap::new(),
)?;
let constraint =
get_type_from_type_annotation_kinds(def_list, unifier, &ty, &mut None)?;
get_type_from_type_annotation_kinds(def_list, unifier, primitives, &ty, &mut None)?;
let loc = func.location;
Ok(unifier.get_fresh_const_generic_var(constraint, Some(generic_name), Some(loc)).ty)
@ -239,8 +241,6 @@ fn handle_assignment_pattern(
}
fn main() {
const SIZE_T: u32 = usize::BITS;
let cli = CommandLineArgs::parse();
let CommandLineArgs { file_name, threads, opt_level, emit_llvm, triple, mcpu, target_features } =
cli;
@ -273,6 +273,24 @@ fn main() {
_ => OptimizationLevel::Aggressive,
};
let target_machine_options = CodeGenTargetMachineOptions {
triple,
cpu: mcpu,
features: target_features,
reloc_mode: RelocMode::PIC,
..host_target_machine
};
let size_t = Context::create()
.ptr_sized_int_type(
&target_machine_options
.create_target_machine(opt_level)
.map(|tm| tm.get_target_data())
.unwrap(),
None,
)
.get_bit_width();
let program = match fs::read_to_string(file_name.clone()) {
Ok(program) => program,
Err(err) => {
@ -281,9 +299,9 @@ fn main() {
}
};
let primitive: PrimitiveStore = TopLevelComposer::make_primitives(SIZE_T).0;
let primitive: PrimitiveStore = TopLevelComposer::make_primitives(size_t).0;
let (mut composer, builtins_def, builtins_ty) =
TopLevelComposer::new(vec![], ComposerConfig::default(), SIZE_T);
TopLevelComposer::new(vec![], ComposerConfig::default(), size_t);
let internal_resolver: Arc<ResolverInternal> = ResolverInternal {
id_to_type: builtins_ty.into(),
@ -340,7 +358,19 @@ fn main() {
let signature = store.from_signature(&mut composer.unifier, &primitive, &signature, &mut cache);
let signature = store.add_cty(signature);
composer.start_analysis(true).unwrap();
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");
}
let top_level = Arc::new(composer.make_top_level_context());
@ -359,16 +389,7 @@ fn main() {
instance_to_stmt[""].clone()
};
let llvm_options = CodeGenLLVMOptions {
opt_level,
target: CodeGenTargetMachineOptions {
triple,
cpu: mcpu,
features: target_features,
reloc_mode: RelocMode::PIC,
..host_target_machine
},
};
let llvm_options = CodeGenLLVMOptions { opt_level, target: target_machine_options };
let task = CodeGenTask {
subst: Vec::default(),
@ -391,7 +412,7 @@ fn main() {
membuffer.lock().push(buffer);
})));
let threads = (0..threads)
.map(|i| Box::new(DefaultCodeGenerator::new(format!("module{i}"), SIZE_T)))
.map(|i| Box::new(DefaultCodeGenerator::new(format!("module{i}"), size_t)))
.collect();
let (registry, handles) = WorkerRegistry::create_workers(threads, top_level, &llvm_options, &f);
registry.add_task(task);

View File

@ -1,15 +1,15 @@
{ pkgs } : [
(pkgs.fetchurl {
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";
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";
})
(pkgs.fetchurl {
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";
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";
})
(pkgs.fetchurl {
@ -31,9 +31,9 @@
})
(pkgs.fetchurl {
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";
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";
})
(pkgs.fetchurl {
@ -43,81 +43,81 @@
})
(pkgs.fetchurl {
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";
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";
})
(pkgs.fetchurl {
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";
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";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-libs-18.1.2-1-any.pkg.tar.zst";
sha256 = "0ibiy01v16naik9pj32ch7a9pkbw4yrn3gyq7p0y6kcc63fkjazy";
name = "mingw-w64-clang-x86_64-llvm-libs-18.1.2-1-any.pkg.tar.zst";
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";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-18.1.2-1-any.pkg.tar.zst";
sha256 = "1hcfz6nb6svmmcqzfrdi96az2x7mzj0cispdv2ssbgn7nkf19pi0";
name = "mingw-w64-clang-x86_64-llvm-18.1.2-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-llvm-18.1.8-1-any.pkg.tar.zst";
sha256 = "185g5h8q3x3rav9lp2njln58ny2idh2067fd02j3nsbik6glshpf";
name = "mingw-w64-clang-x86_64-llvm-18.1.8-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-clang-libs-18.1.2-1-any.pkg.tar.zst";
sha256 = "1k17d18g7rmq2ph4kq1mf84vs8133jzf52nkv6syh39ypjga67wa";
name = "mingw-w64-clang-x86_64-clang-libs-18.1.2-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-clang-libs-18.1.8-1-any.pkg.tar.zst";
sha256 = "089hji3yd7wsd03v9mdfgc99l5k1dql8kg7p3hy13vrbgfsabxhc";
name = "mingw-w64-clang-x86_64-clang-libs-18.1.8-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-compiler-rt-18.1.2-1-any.pkg.tar.zst";
sha256 = "1w2j0vs888haz9shjr1l8dc4j957sk1p0377zzipkbqnzqwjf1z8";
name = "mingw-w64-clang-x86_64-compiler-rt-18.1.2-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-compiler-rt-18.1.8-1-any.pkg.tar.zst";
sha256 = "1dwcxnv1k5ljim5ys4h1c3jlrdpi0054z094ynav7if65i8zjj4a";
name = "mingw-w64-clang-x86_64-compiler-rt-18.1.8-1-any.pkg.tar.zst";
})
(pkgs.fetchurl {
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-headers-git-11.0.0.r655.gdbfdf8025-1-any.pkg.tar.zst";
sha256 = "18csfwlk2h9pr4411crx1b41qjzn5jgbssm3h109nzwbdizkp62h";
name = "mingw-w64-clang-x86_64-headers-git-11.0.0.r655.gdbfdf8025-1-any.pkg.tar.zst";
url = "https://mirror.msys2.org/mingw/clang64/mingw-w64-clang-x86_64-headers-git-12.0.0.r81.g90abf784a-1-any.pkg.tar.zst";
sha256 = "1h3cdcajz29iq7vja908kkijz1vb9xn0f7w1lw1ima0q0zhinv4q";
name = "mingw-w64-clang-x86_64-headers-git-12.0.0.r81.g90abf784a-1-any.pkg.tar.zst";
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