forked from M-Labs/nac3
Compare commits
6 Commits
master
...
temp/build
| Author | SHA1 | Date |
|---|---|---|
 David Mak
|
3a64b0cf07 | |
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David Mak
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2cdb057d20 | |
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David Mak
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8f95c707d7 | |
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David Mak
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9b5fb69875 | |
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David Mak
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6c1d8ac001 | |
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David Mak
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6d6f8be07f |
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@ -1,4 +1,3 @@
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__pycache__
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/target
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/nac3standalone/demo/linalg/target
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nix/windows/msys2
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@ -26,9 +26,9 @@ dependencies = [
|
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[[package]]
|
||||
name = "anstream"
|
||||
version = "0.6.15"
|
||||
version = "0.6.14"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "64e15c1ab1f89faffbf04a634d5e1962e9074f2741eef6d97f3c4e322426d526"
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||||
checksum = "418c75fa768af9c03be99d17643f93f79bbba589895012a80e3452a19ddda15b"
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dependencies = [
|
||||
"anstyle",
|
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"anstyle-parse",
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@ -41,36 +41,36 @@ dependencies = [
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[[package]]
|
||||
name = "anstyle"
|
||||
version = "1.0.8"
|
||||
version = "1.0.7"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "1bec1de6f59aedf83baf9ff929c98f2ad654b97c9510f4e70cf6f661d49fd5b1"
|
||||
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||||
|
||||
[[package]]
|
||||
name = "anstyle-parse"
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
"utf8parse",
|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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dependencies = [
|
||||
"windows-sys 0.52.0",
|
||||
"windows-sys",
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "anstyle-wincon"
|
||||
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|
||||
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|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
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|
||||
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|
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dependencies = [
|
||||
"anstyle",
|
||||
"windows-sys 0.52.0",
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"windows-sys",
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]
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[[package]]
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@ -117,9 +117,9 @@ checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
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|||
|
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[[package]]
|
||||
name = "cc"
|
||||
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|
||||
version = "1.1.5"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "26a5c3fd7bfa1ce3897a3a3501d362b2d87b7f2583ebcb4a949ec25911025cbc"
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "cfg-if"
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||||
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@ -129,9 +129,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
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[[package]]
|
||||
name = "clap"
|
||||
version = "4.5.13"
|
||||
version = "4.5.9"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0fbb260a053428790f3de475e304ff84cdbc4face759ea7a3e64c1edd938a7fc"
|
||||
checksum = "64acc1846d54c1fe936a78dc189c34e28d3f5afc348403f28ecf53660b9b8462"
|
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dependencies = [
|
||||
"clap_builder",
|
||||
"clap_derive",
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@ -139,9 +139,9 @@ dependencies = [
|
|||
|
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[[package]]
|
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name = "clap_builder"
|
||||
version = "4.5.13"
|
||||
version = "4.5.9"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "64b17d7ea74e9f833c7dbf2cbe4fb12ff26783eda4782a8975b72f895c9b4d99"
|
||||
checksum = "6fb8393d67ba2e7bfaf28a23458e4e2b543cc73a99595511eb207fdb8aede942"
|
||||
dependencies = [
|
||||
"anstream",
|
||||
"anstyle",
|
||||
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@ -151,27 +151,27 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "clap_derive"
|
||||
version = "4.5.13"
|
||||
version = "4.5.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "501d359d5f3dcaf6ecdeee48833ae73ec6e42723a1e52419c79abf9507eec0a0"
|
||||
checksum = "2bac35c6dafb060fd4d275d9a4ffae97917c13a6327903a8be2153cd964f7085"
|
||||
dependencies = [
|
||||
"heck 0.5.0",
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.72",
|
||||
"syn 2.0.71",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "clap_lex"
|
||||
version = "0.7.2"
|
||||
version = "0.7.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "1462739cb27611015575c0c11df5df7601141071f07518d56fcc1be504cbec97"
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "colorchoice"
|
||||
version = "1.0.2"
|
||||
version = "1.0.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "d3fd119d74b830634cea2a0f58bbd0d54540518a14397557951e79340abc28c0"
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "console"
|
||||
|
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@ -182,7 +182,7 @@ dependencies = [
|
|||
"encode_unicode",
|
||||
"lazy_static",
|
||||
"libc",
|
||||
"windows-sys 0.52.0",
|
||||
"windows-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
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@ -302,7 +302,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
|||
checksum = "534c5cf6194dfab3db3242765c03bbe257cf92f22b38f6bc0c58d59108a820ba"
|
||||
dependencies = [
|
||||
"libc",
|
||||
"windows-sys 0.52.0",
|
||||
"windows-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
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@ -385,9 +385,9 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "indexmap"
|
||||
version = "2.3.0"
|
||||
version = "2.2.6"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "de3fc2e30ba82dd1b3911c8de1ffc143c74a914a14e99514d7637e3099df5ea0"
|
||||
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|
||||
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|
||||
"equivalent",
|
||||
"hashbrown 0.14.5",
|
||||
|
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@ -421,7 +421,7 @@ checksum = "4fa4d8d74483041a882adaa9a29f633253a66dde85055f0495c121620ac484b2"
|
|||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.72",
|
||||
"syn 2.0.71",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
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@ -440,9 +440,9 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "is_terminal_polyfill"
|
||||
version = "1.70.1"
|
||||
version = "1.70.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "7943c866cc5cd64cbc25b2e01621d07fa8eb2a1a23160ee81ce38704e97b8ecf"
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "itertools"
|
||||
|
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@ -513,9 +513,9 @@ checksum = "97b3888a4aecf77e811145cadf6eef5901f4782c53886191b2f693f24761847c"
|
|||
|
||||
[[package]]
|
||||
name = "libloading"
|
||||
version = "0.8.5"
|
||||
version = "0.8.4"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
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||||
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|
||||
dependencies = [
|
||||
"cfg-if",
|
||||
"windows-targets",
|
||||
|
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@ -616,7 +616,7 @@ name = "nac3core"
|
|||
version = "0.1.0"
|
||||
dependencies = [
|
||||
"crossbeam",
|
||||
"indexmap 2.3.0",
|
||||
"indexmap 2.2.6",
|
||||
"indoc",
|
||||
"inkwell",
|
||||
"insta",
|
||||
|
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@ -706,7 +706,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
|||
checksum = "b4c5cc86750666a3ed20bdaf5ca2a0344f9c67674cae0515bec2da16fbaa47db"
|
||||
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|
||||
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|
||||
"indexmap 2.3.0",
|
||||
"indexmap 2.2.6",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
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@ -749,7 +749,7 @@ dependencies = [
|
|||
"phf_shared 0.11.2",
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.72",
|
||||
"syn 2.0.71",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -778,18 +778,15 @@ checksum = "5be167a7af36ee22fe3115051bc51f6e6c7054c9348e28deb4f49bd6f705a315"
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|||
|
||||
[[package]]
|
||||
name = "portable-atomic"
|
||||
version = "1.7.0"
|
||||
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|
||||
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||||
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||||
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||||
|
||||
[[package]]
|
||||
name = "ppv-lite86"
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
|
||||
[[package]]
|
||||
name = "precomputed-hash"
|
||||
|
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@ -853,7 +850,7 @@ dependencies = [
|
|||
"proc-macro2",
|
||||
"pyo3-macros-backend",
|
||||
"quote",
|
||||
"syn 2.0.72",
|
||||
"syn 2.0.71",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
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@ -866,7 +863,7 @@ dependencies = [
|
|||
"proc-macro2",
|
||||
"pyo3-build-config",
|
||||
"quote",
|
||||
"syn 2.0.72",
|
||||
"syn 2.0.71",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
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@ -950,9 +947,9 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "regex"
|
||||
version = "1.10.6"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
dependencies = [
|
||||
"aho-corasick",
|
||||
"memchr",
|
||||
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@ -994,7 +991,7 @@ dependencies = [
|
|||
"errno",
|
||||
"libc",
|
||||
"linux-raw-sys",
|
||||
"windows-sys 0.52.0",
|
||||
"windows-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
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@ -1047,17 +1044,16 @@ checksum = "e0cd7e117be63d3c3678776753929474f3b04a43a080c744d6b0ae2a8c28e222"
|
|||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "serde_json"
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"memchr",
|
||||
"ryu",
|
||||
"serde",
|
||||
]
|
||||
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@ -1076,9 +1072,9 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "similar"
|
||||
version = "2.6.0"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "siphasher"
|
||||
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@ -1138,7 +1134,7 @@ dependencies = [
|
|||
"proc-macro2",
|
||||
"quote",
|
||||
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|
||||
"syn 2.0.72",
|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
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@ -1154,9 +1150,9 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
name = "syn"
|
||||
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|
||||
version = "2.0.71"
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
|
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@ -1165,21 +1161,20 @@ dependencies = [
|
|||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
dependencies = [
|
||||
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|
||||
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|
||||
"once_cell",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
|
|
@ -1223,7 +1218,7 @@ checksum = "a4558b58466b9ad7ca0f102865eccc95938dca1a74a856f2b57b6629050da261"
|
|||
dependencies = [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -1341,9 +1336,9 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
|
|||
|
||||
[[package]]
|
||||
name = "version_check"
|
||||
version = "0.9.5"
|
||||
version = "0.9.4"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a"
|
||||
checksum = "49874b5167b65d7193b8aba1567f5c7d93d001cafc34600cee003eda787e483f"
|
||||
|
||||
[[package]]
|
||||
name = "walkdir"
|
||||
|
|
@ -1379,11 +1374,11 @@ checksum = "ac3b87c63620426dd9b991e5ce0329eff545bccbbb34f3be09ff6fb6ab51b7b6"
|
|||
|
||||
[[package]]
|
||||
name = "winapi-util"
|
||||
version = "0.1.9"
|
||||
version = "0.1.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "cf221c93e13a30d793f7645a0e7762c55d169dbb0a49671918a2319d289b10bb"
|
||||
checksum = "4d4cc384e1e73b93bafa6fb4f1df8c41695c8a91cf9c4c64358067d15a7b6c6b"
|
||||
dependencies = [
|
||||
"windows-sys 0.59.0",
|
||||
"windows-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -1401,15 +1396,6 @@ dependencies = [
|
|||
"windows-targets",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "windows-sys"
|
||||
version = "0.59.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "1e38bc4d79ed67fd075bcc251a1c39b32a1776bbe92e5bef1f0bf1f8c531853b"
|
||||
dependencies = [
|
||||
"windows-targets",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "windows-targets"
|
||||
version = "0.52.6"
|
||||
|
|
@ -1489,7 +1475,6 @@ version = "0.7.35"
|
|||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
|
||||
dependencies = [
|
||||
"byteorder",
|
||||
"zerocopy-derive",
|
||||
]
|
||||
|
||||
|
|
@ -1501,5 +1486,5 @@ checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
|
|||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.72",
|
||||
"syn 2.0.71",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -2,11 +2,11 @@
|
|||
"nodes": {
|
||||
"nixpkgs": {
|
||||
"locked": {
|
||||
"lastModified": 1721924956,
|
||||
"narHash": "sha256-Sb1jlyRO+N8jBXEX9Pg9Z1Qb8Bw9QyOgLDNMEpmjZ2M=",
|
||||
"lastModified": 1720418205,
|
||||
"narHash": "sha256-cPJoFPXU44GlhWg4pUk9oUPqurPlCFZ11ZQPk21GTPU=",
|
||||
"owner": "NixOS",
|
||||
"repo": "nixpkgs",
|
||||
"rev": "5ad6a14c6bf098e98800b091668718c336effc95",
|
||||
"rev": "655a58a72a6601292512670343087c2d75d859c1",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
|
|
|
|||
30
flake.nix
30
flake.nix
|
|
@ -6,7 +6,6 @@
|
|||
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 {};
|
||||
|
|
@ -16,22 +15,6 @@
|
|||
ln -s ${pkgs.llvmPackages_14.clang-unwrapped}/bin/clang $out/bin/clang-irrt
|
||||
ln -s ${pkgs.llvmPackages_14.llvm.out}/bin/llvm-as $out/bin/llvm-as-irrt
|
||||
'';
|
||||
demo-linalg-stub = pkgs.rustPlatform.buildRustPackage {
|
||||
name = "demo-linalg-stub";
|
||||
src = ./nac3standalone/demo/linalg;
|
||||
cargoLock = {
|
||||
lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
|
||||
};
|
||||
doCheck = false;
|
||||
};
|
||||
demo-linalg-stub32 = pkgs32.rustPlatform.buildRustPackage {
|
||||
name = "demo-linalg-stub32";
|
||||
src = ./nac3standalone/demo/linalg;
|
||||
cargoLock = {
|
||||
lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
|
||||
};
|
||||
doCheck = false;
|
||||
};
|
||||
nac3artiq = pkgs.python3Packages.toPythonModule (
|
||||
pkgs.rustPlatform.buildRustPackage rec {
|
||||
name = "nac3artiq";
|
||||
|
|
@ -41,7 +24,7 @@
|
|||
lockFile = ./Cargo.lock;
|
||||
};
|
||||
passthru.cargoLock = cargoLock;
|
||||
nativeBuildInputs = [ pkgs.python3 (pkgs.wrapClangMulti pkgs.llvmPackages_14.clang) llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
|
||||
nativeBuildInputs = [ pkgs.python3 pkgs.llvmPackages_14.clang llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
|
||||
buildInputs = [ pkgs.python3 llvm-nac3 ];
|
||||
checkInputs = [ (pkgs.python3.withPackages(ps: [ ps.numpy ps.scipy ])) ];
|
||||
checkPhase =
|
||||
|
|
@ -49,9 +32,7 @@
|
|||
echo "Checking nac3standalone demos..."
|
||||
pushd nac3standalone/demo
|
||||
patchShebangs .
|
||||
export DEMO_LINALG_STUB=${demo-linalg-stub}/lib/liblinalg.a
|
||||
export DEMO_LINALG_STUB32=${demo-linalg-stub32}/lib/liblinalg.a
|
||||
./check_demos.sh -i686
|
||||
./check_demos.sh
|
||||
popd
|
||||
echo "Running Cargo tests..."
|
||||
cargoCheckHook
|
||||
|
|
@ -168,7 +149,7 @@
|
|||
buildInputs = with pkgs; [
|
||||
# build dependencies
|
||||
packages.x86_64-linux.llvm-nac3
|
||||
(pkgs.wrapClangMulti llvmPackages_14.clang) llvmPackages_14.llvm.out # for running nac3standalone demos
|
||||
llvmPackages_14.clang llvmPackages_14.llvm.out # for running nac3standalone demos
|
||||
packages.x86_64-linux.llvm-tools-irrt
|
||||
cargo
|
||||
rustc
|
||||
|
|
@ -181,11 +162,6 @@
|
|||
pre-commit
|
||||
rustfmt
|
||||
];
|
||||
shellHook =
|
||||
''
|
||||
export DEMO_LINALG_STUB=${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";
|
||||
|
|
|
|||
|
|
@ -24,3 +24,4 @@ features = ["llvm14-0", "target-x86", "target-arm", "target-riscv", "no-libffi-l
|
|||
|
||||
[features]
|
||||
init-llvm-profile = []
|
||||
no-escape-analysis = ["nac3core/no-escape-analysis"]
|
||||
|
|
|
|||
|
|
@ -386,7 +386,7 @@ fn gen_rpc_tag(
|
|||
} else {
|
||||
let ty_enum = ctx.unifier.get_ty(ty);
|
||||
match &*ty_enum {
|
||||
TTuple { ty, is_vararg_ctx: false } => {
|
||||
TTuple { ty } => {
|
||||
buffer.push(b't');
|
||||
buffer.push(ty.len() as u8);
|
||||
for ty in ty {
|
||||
|
|
@ -700,7 +700,6 @@ pub fn attributes_writeback(
|
|||
name: i.to_string().into(),
|
||||
ty: *ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
})
|
||||
.collect(),
|
||||
ret: ctx.primitives.none,
|
||||
|
|
|
|||
|
|
@ -24,7 +24,6 @@ use std::rc::Rc;
|
|||
use std::sync::Arc;
|
||||
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::{Linkage, Module},
|
||||
passes::PassBuilderOptions,
|
||||
|
|
@ -265,7 +264,7 @@ 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() => {
|
||||
|
|
@ -626,9 +625,7 @@ impl Nac3 {
|
|||
let buffer = buffer.as_slice().into();
|
||||
membuffer.lock().push(buffer);
|
||||
})));
|
||||
let size_t = Context::create()
|
||||
.ptr_sized_int_type(&self.get_llvm_target_machine().get_target_data(), None)
|
||||
.get_bit_width();
|
||||
let size_t = if self.isa == Isa::Host { 64 } else { 32 };
|
||||
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
|
||||
|
|
@ -647,9 +644,6 @@ 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,
|
||||
|
|
@ -869,7 +863,6 @@ impl Nac3 {
|
|||
name: "t".into(),
|
||||
ty: primitive.int64,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitive.none,
|
||||
vars: VarMap::new(),
|
||||
|
|
@ -889,7 +882,6 @@ impl Nac3 {
|
|||
name: "dt".into(),
|
||||
ty: primitive.int64,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitive.none,
|
||||
vars: VarMap::new(),
|
||||
|
|
|
|||
|
|
@ -351,7 +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![], is_vararg_ctx: false }), false)))
|
||||
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![] }), false)))
|
||||
} else if ty_id == self.primitive_ids.option {
|
||||
Ok(Ok((primitives.option, false)))
|
||||
} else if ty_id == self.primitive_ids.none {
|
||||
|
|
@ -555,10 +555,7 @@ 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, is_vararg_ctx: false }),
|
||||
true,
|
||||
)))
|
||||
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: args }), true)))
|
||||
}
|
||||
TypeEnum::TObj { params, obj_id, .. } => {
|
||||
let subst = {
|
||||
|
|
@ -800,9 +797,7 @@ 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, is_vararg_ctx: false })
|
||||
}))
|
||||
Ok(types.map(|types| unifier.add_ty(TypeEnum::TTuple { ty: types })))
|
||||
}
|
||||
// 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
|
||||
|
|
@ -1085,6 +1080,8 @@ impl InnerResolver {
|
|||
unpack_ndarray_var_tys(&mut ctx.unifier, ndarray_ty);
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
// TODO: Special handling required for strings, since there are two representations:
|
||||
// struct %str and [n x i8].
|
||||
let ndarray_dtype_llvm_ty = ctx.get_llvm_type(generator, ndarray_dtype);
|
||||
let ndarray_llvm_ty = NDArrayType::new(generator, ctx.ctx, ndarray_dtype_llvm_ty);
|
||||
|
||||
|
|
@ -1152,31 +1149,44 @@ impl InnerResolver {
|
|||
})
|
||||
})
|
||||
.collect();
|
||||
let data = data?.unwrap().into_iter();
|
||||
let data = match ndarray_dtype_llvm_ty {
|
||||
BasicTypeEnum::ArrayType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_array_value).collect_vec())
|
||||
}
|
||||
let data = data?.unwrap();
|
||||
|
||||
BasicTypeEnum::FloatType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_float_value).collect_vec())
|
||||
}
|
||||
let make_llvm_array =
|
||||
|llvm_ty: BasicTypeEnum<'ctx>, elems: Vec<BasicValueEnum<'ctx>>| {
|
||||
debug_assert!(elems.iter().all(|elem| elem.get_type() == llvm_ty));
|
||||
|
||||
BasicTypeEnum::IntType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_int_value).collect_vec())
|
||||
}
|
||||
match llvm_ty {
|
||||
BasicTypeEnum::ArrayType(ty) => ty.const_array(
|
||||
&elems.into_iter().map(BasicValueEnum::into_array_value).collect_vec(),
|
||||
),
|
||||
|
||||
BasicTypeEnum::PointerType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_pointer_value).collect_vec())
|
||||
}
|
||||
BasicTypeEnum::FloatType(ty) => ty.const_array(
|
||||
&elems.into_iter().map(BasicValueEnum::into_float_value).collect_vec(),
|
||||
),
|
||||
|
||||
BasicTypeEnum::StructType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_struct_value).collect_vec())
|
||||
}
|
||||
BasicTypeEnum::IntType(ty) => ty.const_array(
|
||||
&elems.into_iter().map(BasicValueEnum::into_int_value).collect_vec(),
|
||||
),
|
||||
|
||||
BasicTypeEnum::PointerType(ty) => ty.const_array(
|
||||
&elems
|
||||
.into_iter()
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.collect_vec(),
|
||||
),
|
||||
|
||||
BasicTypeEnum::StructType(ty) => ty.const_array(
|
||||
&elems.into_iter().map(BasicValueEnum::into_struct_value).collect_vec(),
|
||||
),
|
||||
|
||||
BasicTypeEnum::VectorType(_) => unreachable!(),
|
||||
}
|
||||
};
|
||||
|
||||
let ndarray_dtype_llvm_ty =
|
||||
if data.is_empty() { ndarray_dtype_llvm_ty } else { data[0].get_type() };
|
||||
let data = make_llvm_array(ndarray_dtype_llvm_ty, data);
|
||||
|
||||
// create a global for ndarray.data and initialize it using the elements
|
||||
let data_global = ctx.module.add_global(
|
||||
ndarray_dtype_llvm_ty.array_type(sz as u32),
|
||||
|
|
@ -1208,9 +1218,7 @@ 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, is_vararg_ctx: false } = expected_ty_enum.as_ref() else {
|
||||
unreachable!()
|
||||
};
|
||||
let TypeEnum::TTuple { ty } = expected_ty_enum.as_ref() else { unreachable!() };
|
||||
|
||||
let tup_tys = ty.iter();
|
||||
let elements: &PyTuple = obj.downcast()?;
|
||||
|
|
|
|||
|
|
@ -4,6 +4,9 @@ version = "0.1.0"
|
|||
authors = ["M-Labs"]
|
||||
edition = "2021"
|
||||
|
||||
[features]
|
||||
no-escape-analysis = []
|
||||
|
||||
[dependencies]
|
||||
itertools = "0.13"
|
||||
crossbeam = "0.8"
|
||||
|
|
|
|||
|
|
@ -1,11 +1,9 @@
|
|||
use inkwell::types::BasicTypeEnum;
|
||||
use inkwell::values::{BasicValue, BasicValueEnum, PointerValue};
|
||||
use inkwell::values::BasicValueEnum;
|
||||
use inkwell::{FloatPredicate, IntPredicate, OptimizationLevel};
|
||||
use itertools::Itertools;
|
||||
|
||||
use crate::codegen::classes::{
|
||||
NDArrayValue, ProxyValue, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
|
||||
};
|
||||
use crate::codegen::classes::{NDArrayValue, ProxyValue, UntypedArrayLikeAccessor};
|
||||
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};
|
||||
|
|
@ -33,6 +31,7 @@ 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));
|
||||
|
|
@ -603,7 +602,7 @@ pub fn call_ceil<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ret_elem_ty,
|
||||
None,
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_ceil(generator, ctx, (elem_ty, val), ret_elem_ty),
|
||||
|generator, ctx, val| call_floor(generator, ctx, (elem_ty, val), ret_elem_ty),
|
||||
)?;
|
||||
|
||||
ndarray.as_base_value().into()
|
||||
|
|
@ -864,7 +863,6 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_int64.const_int(1, false),
|
||||
(n_sz, false),
|
||||
|generator, ctx, _, idx| {
|
||||
|
|
@ -1837,501 +1835,3 @@ 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])
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1717,7 +1717,6 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(len, false),
|
||||
|generator, ctx, _, i| {
|
||||
|
|
|
|||
|
|
@ -25,7 +25,6 @@ pub struct ConcreteFuncArg {
|
|||
pub name: StrRef,
|
||||
pub ty: ConcreteType,
|
||||
pub default_value: Option<SymbolValue>,
|
||||
pub is_vararg: bool,
|
||||
}
|
||||
|
||||
#[derive(Clone, Debug)]
|
||||
|
|
@ -47,7 +46,6 @@ pub enum ConcreteTypeEnum {
|
|||
TPrimitive(Primitive),
|
||||
TTuple {
|
||||
ty: Vec<ConcreteType>,
|
||||
is_vararg_ctx: bool,
|
||||
},
|
||||
TObj {
|
||||
obj_id: DefinitionId,
|
||||
|
|
@ -104,16 +102,8 @@ impl ConcreteTypeStore {
|
|||
.iter()
|
||||
.map(|arg| ConcreteFuncArg {
|
||||
name: arg.name,
|
||||
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)
|
||||
},
|
||||
ty: 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),
|
||||
|
|
@ -168,12 +158,11 @@ impl ConcreteTypeStore {
|
|||
cache.insert(ty, None);
|
||||
let ty_enum = unifier.get_ty(ty);
|
||||
let result = match &*ty_enum {
|
||||
TypeEnum::TTuple { ty, is_vararg_ctx } => ConcreteTypeEnum::TTuple {
|
||||
TypeEnum::TTuple { ty } => ConcreteTypeEnum::TTuple {
|
||||
ty: ty
|
||||
.iter()
|
||||
.map(|t| self.from_unifier_type(unifier, primitives, *t, cache))
|
||||
.collect(),
|
||||
is_vararg_ctx: *is_vararg_ctx,
|
||||
},
|
||||
TypeEnum::TObj { obj_id, fields, params } => ConcreteTypeEnum::TObj {
|
||||
obj_id: *obj_id,
|
||||
|
|
@ -259,12 +248,11 @@ impl ConcreteTypeStore {
|
|||
*cache.get_mut(&cty).unwrap() = Some(ty);
|
||||
return ty;
|
||||
}
|
||||
ConcreteTypeEnum::TTuple { ty, is_vararg_ctx } => TypeEnum::TTuple {
|
||||
ConcreteTypeEnum::TTuple { ty } => TypeEnum::TTuple {
|
||||
ty: ty
|
||||
.iter()
|
||||
.map(|cty| self.to_unifier_type(unifier, primitives, *cty, cache))
|
||||
.collect(),
|
||||
is_vararg_ctx: *is_vararg_ctx,
|
||||
},
|
||||
ConcreteTypeEnum::TVirtual { ty } => {
|
||||
TypeEnum::TVirtual { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
|
||||
|
|
@ -289,7 +277,6 @@ 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),
|
||||
|
|
|
|||
|
|
@ -1,3 +1,5 @@
|
|||
use std::{collections::HashMap, convert::TryInto, iter::once, iter::zip};
|
||||
|
||||
use crate::{
|
||||
codegen::{
|
||||
classes::{
|
||||
|
|
@ -5,7 +7,7 @@ use crate::{
|
|||
ProxyValue, RangeValue, TypedArrayLikeAccessor, UntypedArrayLikeAccessor,
|
||||
},
|
||||
concrete_type::{ConcreteFuncArg, ConcreteTypeEnum, ConcreteTypeStore},
|
||||
gen_in_range_check, get_llvm_abi_type, get_llvm_type, get_va_count_arg_name,
|
||||
gen_in_range_check, get_llvm_abi_type, get_llvm_type,
|
||||
irrt::*,
|
||||
llvm_intrinsics::{
|
||||
call_expect, call_float_floor, call_float_pow, call_float_powi, call_int_smax,
|
||||
|
|
@ -40,8 +42,6 @@ use nac3parser::ast::{
|
|||
self, Boolop, Cmpop, Comprehension, Constant, Expr, ExprKind, Location, Operator, StrRef,
|
||||
Unaryop,
|
||||
};
|
||||
use std::iter::{repeat, repeat_with};
|
||||
use std::{collections::HashMap, convert::TryInto, iter::once, iter::zip};
|
||||
|
||||
pub fn get_subst_key(
|
||||
unifier: &mut Unifier,
|
||||
|
|
@ -201,7 +201,7 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
|||
/// See [`get_llvm_type`].
|
||||
pub fn get_llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&mut self,
|
||||
generator: &G,
|
||||
generator: &mut G,
|
||||
ty: Type,
|
||||
) -> BasicTypeEnum<'ctx> {
|
||||
get_llvm_type(
|
||||
|
|
@ -218,7 +218,7 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
|||
/// See [`get_llvm_abi_type`].
|
||||
pub fn get_llvm_abi_type<G: CodeGenerator + ?Sized>(
|
||||
&mut self,
|
||||
generator: &G,
|
||||
generator: &mut G,
|
||||
ty: Type,
|
||||
) -> BasicTypeEnum<'ctx> {
|
||||
get_llvm_abi_type(
|
||||
|
|
@ -267,16 +267,13 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
|||
}
|
||||
Constant::Tuple(v) => {
|
||||
let ty = self.unifier.get_ty(ty);
|
||||
let (types, is_vararg_ctx) = if let TypeEnum::TTuple { ty, is_vararg_ctx } = &*ty {
|
||||
(ty.clone(), *is_vararg_ctx)
|
||||
} else {
|
||||
unreachable!()
|
||||
};
|
||||
let types =
|
||||
if let TypeEnum::TTuple { ty } = &*ty { ty.clone() } else { unreachable!() };
|
||||
let values = zip(types, v.iter())
|
||||
.map_while(|(ty, v)| self.gen_const(generator, v, ty))
|
||||
.collect_vec();
|
||||
|
||||
if is_vararg_ctx || values.len() == v.len() {
|
||||
if values.len() == v.len() {
|
||||
let types = values.iter().map(BasicValueEnum::get_type).collect_vec();
|
||||
let ty = self.ctx.struct_type(&types, false);
|
||||
Some(ty.const_named_struct(&values).into())
|
||||
|
|
@ -517,19 +514,16 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
|||
}
|
||||
}
|
||||
}
|
||||
|
||||
let params = if loc_params.is_empty() { params } else { &loc_params };
|
||||
let params = fun
|
||||
.get_type()
|
||||
.get_param_types()
|
||||
.into_iter()
|
||||
.map(Some)
|
||||
.chain(repeat(None))
|
||||
.zip(params.iter())
|
||||
.map(|(ty, val)| match (ty, val.get_type()) {
|
||||
(Some(BasicTypeEnum::PointerType(arg_ty)), BasicTypeEnum::PointerType(val_ty))
|
||||
(BasicTypeEnum::PointerType(arg_ty), BasicTypeEnum::PointerType(val_ty))
|
||||
if {
|
||||
ty.unwrap() != val.get_type()
|
||||
ty != val.get_type()
|
||||
&& arg_ty.get_element_type().is_struct_type()
|
||||
&& val_ty.get_element_type().is_struct_type()
|
||||
} =>
|
||||
|
|
@ -539,7 +533,6 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
|||
_ => *val,
|
||||
})
|
||||
.collect_vec();
|
||||
|
||||
let result = if let Some(target) = self.unwind_target {
|
||||
let current = self.builder.get_insert_block().unwrap().get_parent().unwrap();
|
||||
let then_block = self.ctx.append_basic_block(current, &format!("after.{call_name}"));
|
||||
|
|
@ -559,7 +552,6 @@ impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
|||
.map(Either::left)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
if let Some(slot) = return_slot {
|
||||
Some(self.builder.build_load(slot, call_name).unwrap())
|
||||
} else {
|
||||
|
|
@ -734,41 +726,13 @@ pub fn gen_func_instance<'ctx>(
|
|||
.collect();
|
||||
|
||||
let mut signature = store.from_signature(&mut ctx.unifier, &ctx.primitives, sign, &mut cache);
|
||||
let ConcreteTypeEnum::TFunc { args, .. } = &mut signature else { unreachable!() };
|
||||
|
||||
if let Some(obj) = &obj {
|
||||
let zelf = store.from_unifier_type(&mut ctx.unifier, &ctx.primitives, obj.0, &mut cache);
|
||||
let ConcreteTypeEnum::TFunc { args, .. } = &mut signature else { unreachable!() };
|
||||
|
||||
args.insert(
|
||||
0,
|
||||
ConcreteFuncArg {
|
||||
name: "self".into(),
|
||||
ty: zelf,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
);
|
||||
args.insert(0, ConcreteFuncArg { name: "self".into(), ty: zelf, default_value: None });
|
||||
}
|
||||
|
||||
if let Some(vararg_arg) = sign.args.iter().find(|arg| arg.is_vararg) {
|
||||
let va_count_arg = get_va_count_arg_name(vararg_arg.name);
|
||||
|
||||
args.insert(
|
||||
args.len() - 1,
|
||||
ConcreteFuncArg {
|
||||
name: va_count_arg,
|
||||
ty: store.from_unifier_type(
|
||||
&mut ctx.unifier,
|
||||
&ctx.primitives,
|
||||
ctx.primitives.usize(),
|
||||
&mut cache,
|
||||
),
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
let signature = store.add_cty(signature);
|
||||
|
||||
ctx.registry.add_task(CodeGenTask {
|
||||
|
|
@ -793,17 +757,11 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
fun: (&FunSignature, DefinitionId),
|
||||
params: Vec<(Option<StrRef>, ValueEnum<'ctx>)>,
|
||||
) -> Result<Option<BasicValueEnum<'ctx>>, String> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let definition = ctx.top_level.definitions.read().get(fun.1 .0).cloned().unwrap();
|
||||
let id;
|
||||
let key;
|
||||
let param_vals;
|
||||
let is_extern;
|
||||
let vararg_arg;
|
||||
|
||||
// Ensure that the function object only contains up to 1 vararg parameter
|
||||
debug_assert!(fun.0.args.iter().filter(|arg| arg.is_vararg).count() <= 1);
|
||||
|
||||
let symbol = {
|
||||
// make sure this lock guard is dropped at the end of this scope...
|
||||
|
|
@ -819,72 +777,22 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
return callback.run(ctx, obj, fun, params, generator);
|
||||
}
|
||||
is_extern = instance_to_stmt.is_empty();
|
||||
vararg_arg = fun.0.args.iter().find(|arg| arg.is_vararg);
|
||||
let old_key = ctx.get_subst_key(obj.as_ref().map(|a| a.0), fun.0, None);
|
||||
let mut keys = fun.0.args.clone();
|
||||
let mut mapping = HashMap::<_, Vec<ValueEnum>>::new();
|
||||
|
||||
let mut mapping = HashMap::new();
|
||||
for (key, value) in params {
|
||||
// Find the matching argument
|
||||
let matching_param = fun
|
||||
.0
|
||||
.args
|
||||
.iter()
|
||||
.find_or_last(|p| key.is_some_and(|k| k == p.name))
|
||||
.unwrap();
|
||||
if matching_param.is_vararg {
|
||||
if key.is_none() && !keys.is_empty() {
|
||||
keys.remove(0);
|
||||
mapping.insert(key.unwrap_or_else(|| keys.remove(0).name), value);
|
||||
}
|
||||
|
||||
// vararg is lowered into two arguments - va_count and `...`
|
||||
// Handle va_count first, for each argument encountered we increment it by 1
|
||||
let va_count = get_va_count_arg_name(matching_param.name);
|
||||
if let Some(params) = mapping.get_mut(&va_count) {
|
||||
debug_assert_eq!(params.len(), 1);
|
||||
|
||||
let param = params[0]
|
||||
.clone()
|
||||
.to_basic_value_enum(ctx, generator, ctx.primitives.usize())?
|
||||
.into_int_value();
|
||||
params[0] = param.const_add(llvm_usize.const_int(1, false)).into();
|
||||
} else {
|
||||
mapping.insert(va_count, vec![llvm_usize.const_int(1, false).into()]);
|
||||
}
|
||||
|
||||
if let Some(param) = mapping.get_mut(&matching_param.name) {
|
||||
param.push(value);
|
||||
} else {
|
||||
mapping.insert(key.unwrap_or(matching_param.name), vec![value]);
|
||||
}
|
||||
} else {
|
||||
mapping.insert(key.unwrap_or_else(|| keys.remove(0).name), vec![value]);
|
||||
}
|
||||
}
|
||||
|
||||
// default value handling
|
||||
for k in keys {
|
||||
if mapping.contains_key(&k.name) {
|
||||
continue;
|
||||
}
|
||||
|
||||
if k.is_vararg {
|
||||
mapping.insert(
|
||||
get_va_count_arg_name(k.name),
|
||||
vec![llvm_usize.const_zero().into()],
|
||||
);
|
||||
|
||||
mapping.insert(k.name, Vec::default());
|
||||
} else {
|
||||
mapping.insert(
|
||||
k.name,
|
||||
vec![ctx
|
||||
.gen_symbol_val(generator, &k.default_value.unwrap(), k.ty)
|
||||
.into()],
|
||||
ctx.gen_symbol_val(generator, &k.default_value.unwrap(), k.ty).into(),
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// reorder the parameters
|
||||
let mut real_params = fun
|
||||
.0
|
||||
|
|
@ -893,24 +801,13 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
.map(|arg| (mapping.remove(&arg.name).unwrap(), arg.ty))
|
||||
.collect_vec();
|
||||
if let Some(obj) = &obj {
|
||||
real_params.insert(0, (vec![obj.1.clone()], obj.0));
|
||||
real_params.insert(0, (obj.1.clone(), obj.0));
|
||||
}
|
||||
if let Some(vararg) = vararg_arg {
|
||||
let vararg_arg_name = get_va_count_arg_name(vararg.name);
|
||||
|
||||
real_params.insert(
|
||||
real_params.len() - 1,
|
||||
(mapping[&vararg_arg_name].clone(), ctx.primitives.usize()),
|
||||
);
|
||||
}
|
||||
|
||||
let static_params = real_params
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter_map(|(i, (v, _))| {
|
||||
if v.len() != 1 {
|
||||
None
|
||||
} else if let ValueEnum::Static(s) = &v[0] {
|
||||
if let ValueEnum::Static(s) = v {
|
||||
Some((i, s.clone()))
|
||||
} else {
|
||||
None
|
||||
|
|
@ -940,13 +837,8 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
};
|
||||
param_vals = real_params
|
||||
.into_iter()
|
||||
.map(|(ps, t)| {
|
||||
ps.into_iter().map(|p| p.to_basic_value_enum(ctx, generator, t)).collect()
|
||||
})
|
||||
.collect::<Result<Vec<Vec<_>>, _>>()?
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.collect::<Vec<_>>();
|
||||
.map(|(p, t)| p.to_basic_value_enum(ctx, generator, t))
|
||||
.collect::<Result<Vec<_>, String>>()?;
|
||||
instance_to_symbol.get(&key).cloned().ok_or_else(String::new)
|
||||
}
|
||||
TopLevelDef::Class { .. } => {
|
||||
|
|
@ -960,10 +852,7 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
let fun_val = ctx.module.get_function(&symbol).unwrap_or_else(|| {
|
||||
let mut args = fun.0.args.clone();
|
||||
if let Some(obj) = &obj {
|
||||
args.insert(
|
||||
0,
|
||||
FuncArg { name: "self".into(), ty: obj.0, default_value: None, is_vararg: false },
|
||||
);
|
||||
args.insert(0, FuncArg { name: "self".into(), ty: obj.0, default_value: None });
|
||||
}
|
||||
let ret_type = if ctx.unifier.unioned(fun.0.ret, ctx.primitives.none) {
|
||||
None
|
||||
|
|
@ -975,7 +864,6 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
let mut params = args
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter(|(_, arg)| !arg.is_vararg)
|
||||
.map(|(i, arg)| {
|
||||
match ctx.get_llvm_abi_type(generator, arg.ty) {
|
||||
BasicTypeEnum::StructType(ty) if is_extern => {
|
||||
|
|
@ -990,13 +878,9 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
if has_sret {
|
||||
params.insert(0, ret_type.unwrap().ptr_type(AddressSpace::default()).into());
|
||||
}
|
||||
let is_vararg = args.iter().any(|arg| arg.is_vararg);
|
||||
if is_vararg {
|
||||
params.push(generator.get_size_type(ctx.ctx).into());
|
||||
}
|
||||
let fun_ty = match ret_type {
|
||||
Some(ret_type) if !has_sret => ret_type.fn_type(¶ms, is_vararg),
|
||||
_ => ctx.ctx.void_type().fn_type(¶ms, is_vararg),
|
||||
Some(ret_type) if !has_sret => ret_type.fn_type(¶ms, false),
|
||||
_ => ctx.ctx.void_type().fn_type(¶ms, false),
|
||||
};
|
||||
let fun_val = ctx.module.add_function(&symbol, fun_ty, None);
|
||||
let offset = if has_sret {
|
||||
|
|
@ -1028,16 +912,13 @@ pub fn gen_call<'ctx, G: CodeGenerator>(
|
|||
});
|
||||
|
||||
// Convert boolean parameter values into i1
|
||||
let vararg_ty = vararg_arg.map(|vararg| ctx.get_llvm_abi_type(generator, vararg.ty));
|
||||
let param_vals = fun_val
|
||||
.get_params()
|
||||
.iter()
|
||||
.map(BasicValueEnum::get_type)
|
||||
.chain(repeat_with(|| vararg_ty.unwrap()))
|
||||
.zip(param_vals)
|
||||
.map(|(p, v)| {
|
||||
if p.is_int_type() && v.is_int_value() {
|
||||
let expected_ty = p.into_int_type();
|
||||
if p.is_int_value() && v.is_int_value() {
|
||||
let expected_ty = p.into_int_value().get_type();
|
||||
let param_val = v.into_int_value();
|
||||
|
||||
if expected_ty.get_bit_width() == 1 && param_val.get_type().get_bit_width() != 1 {
|
||||
|
|
@ -1114,10 +995,8 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
ctx.builder.position_at_end(init_bb);
|
||||
|
||||
let Comprehension { target, iter, ifs, .. } = &generators[0];
|
||||
|
||||
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_ty)?
|
||||
v.to_basic_value_enum(ctx, generator, iter.custom.unwrap())?
|
||||
} else {
|
||||
for bb in [test_bb, body_bb, cont_bb] {
|
||||
ctx.builder.position_at_end(bb);
|
||||
|
|
@ -1135,12 +1014,11 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
ctx.builder.build_store(index, zero_size_t).unwrap();
|
||||
|
||||
let elem_ty = ctx.get_llvm_type(generator, elt.custom.unwrap());
|
||||
let is_range = ctx.unifier.unioned(iter.custom.unwrap(), ctx.primitives.range);
|
||||
let list;
|
||||
let list_content;
|
||||
|
||||
match &*ctx.unifier.get_ty(iter_ty) {
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
if is_range {
|
||||
let iter_val = RangeValue::from_ptr_val(iter_val.into_pointer_value(), Some("range"));
|
||||
let (start, stop, step) = destructure_range(ctx, iter_val);
|
||||
let diff = ctx.builder.build_int_sub(stop, start, "diff").unwrap();
|
||||
|
|
@ -1148,8 +1026,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
// the length may be 1 more than the actual length if the division is exact, but the
|
||||
// length is a upper bound only anyway so it does not matter.
|
||||
let length = ctx.builder.build_int_signed_div(diff, step, "div").unwrap();
|
||||
let length =
|
||||
ctx.builder.build_int_add(length, int32.const_int(1, false), "add1").unwrap();
|
||||
let length = ctx.builder.build_int_add(length, int32.const_int(1, false), "add1").unwrap();
|
||||
// in case length is non-positive
|
||||
let is_valid =
|
||||
ctx.builder.build_int_compare(IntPredicate::SGT, length, zero_32, "check").unwrap();
|
||||
|
|
@ -1158,9 +1035,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
.builder
|
||||
.build_select(
|
||||
is_valid,
|
||||
ctx.builder
|
||||
.build_int_z_extend_or_bit_cast(length, size_t, "z_ext_len")
|
||||
.unwrap(),
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(length, size_t, "z_ext_len").unwrap(),
|
||||
zero_size_t,
|
||||
"listcomp.alloc_size",
|
||||
)
|
||||
|
|
@ -1172,6 +1047,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
list_alloc_size.into_int_value(),
|
||||
Some("listcomp.addr"),
|
||||
);
|
||||
list_content = list.data().base_ptr(ctx, generator);
|
||||
|
||||
let i = generator.gen_store_target(ctx, target, Some("i.addr"))?.unwrap();
|
||||
ctx.builder
|
||||
|
|
@ -1179,11 +1055,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
.unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_conditional_branch(
|
||||
gen_in_range_check(ctx, start, stop, step),
|
||||
test_bb,
|
||||
cont_bb,
|
||||
)
|
||||
.build_conditional_branch(gen_in_range_check(ctx, start, stop, step), test_bb, cont_bb)
|
||||
.unwrap();
|
||||
|
||||
ctx.builder.position_at_end(test_bb);
|
||||
|
|
@ -1198,18 +1070,11 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
.unwrap();
|
||||
ctx.builder.build_store(i, tmp).unwrap();
|
||||
ctx.builder
|
||||
.build_conditional_branch(
|
||||
gen_in_range_check(ctx, tmp, stop, step),
|
||||
body_bb,
|
||||
cont_bb,
|
||||
)
|
||||
.build_conditional_branch(gen_in_range_check(ctx, tmp, stop, step), body_bb, cont_bb)
|
||||
.unwrap();
|
||||
|
||||
ctx.builder.position_at_end(body_bb);
|
||||
}
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
} else {
|
||||
let length = ctx
|
||||
.build_gep_and_load(
|
||||
iter_val.into_pointer_value(),
|
||||
|
|
@ -1218,15 +1083,14 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
)
|
||||
.into_int_value();
|
||||
list = allocate_list(generator, ctx, Some(elem_ty), length, Some("listcomp"));
|
||||
|
||||
list_content = list.data().base_ptr(ctx, generator);
|
||||
let counter = generator.gen_var_alloc(ctx, size_t.into(), Some("counter.addr"))?;
|
||||
// counter = -1
|
||||
ctx.builder.build_store(counter, size_t.const_all_ones()).unwrap();
|
||||
ctx.builder.build_store(counter, size_t.const_int(u64::MAX, true)).unwrap();
|
||||
ctx.builder.build_unconditional_branch(test_bb).unwrap();
|
||||
|
||||
ctx.builder.position_at_end(test_bb);
|
||||
let tmp =
|
||||
ctx.builder.build_load(counter, "i").map(BasicValueEnum::into_int_value).unwrap();
|
||||
let tmp = ctx.builder.build_load(counter, "i").map(BasicValueEnum::into_int_value).unwrap();
|
||||
let tmp = ctx.builder.build_int_add(tmp, size_t.const_int(1, false), "inc").unwrap();
|
||||
ctx.builder.build_store(counter, tmp).unwrap();
|
||||
let cmp = ctx.builder.build_int_compare(IntPredicate::SLT, tmp, length, "cmp").unwrap();
|
||||
|
|
@ -1241,14 +1105,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
)
|
||||
.into_pointer_value();
|
||||
let val = ctx.build_gep_and_load(arr_ptr, &[tmp], Some("val"));
|
||||
generator.gen_assign(ctx, target, val.into(), elt.custom.unwrap())?;
|
||||
}
|
||||
_ => {
|
||||
panic!(
|
||||
"unsupported list comprehension iterator type: {}",
|
||||
ctx.unifier.stringify(iter_ty)
|
||||
);
|
||||
}
|
||||
generator.gen_assign(ctx, target, val.into())?;
|
||||
}
|
||||
|
||||
// Emits the content of `cont_bb`
|
||||
|
|
@ -1286,8 +1143,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
|||
return Ok(None);
|
||||
};
|
||||
let i = ctx.builder.build_load(index, "i").map(BasicValueEnum::into_int_value).unwrap();
|
||||
let elem_ptr =
|
||||
unsafe { list.data().ptr_offset_unchecked(ctx, generator, &i, Some("elem_ptr")) };
|
||||
let elem_ptr = unsafe { ctx.builder.build_gep(list_content, &[i], "elem_ptr") }.unwrap();
|
||||
let val = elem.to_basic_value_enum(ctx, generator, elt.custom.unwrap())?;
|
||||
ctx.builder.build_store(elem_ptr, val).unwrap();
|
||||
ctx.builder
|
||||
|
|
@ -1370,7 +1226,6 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
|||
debug_assert!(ctx.unifier.unioned(elem_ty1, elem_ty2));
|
||||
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty1);
|
||||
let sizeof_elem = llvm_elem_ty.size_of().unwrap();
|
||||
|
||||
let lhs = ListValue::from_ptr_val(left_val.into_pointer_value(), llvm_usize, None);
|
||||
let rhs = ListValue::from_ptr_val(right_val.into_pointer_value(), llvm_usize, None);
|
||||
|
|
@ -1382,25 +1237,14 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
|||
|
||||
let new_list = allocate_list(generator, ctx, Some(llvm_elem_ty), size, None);
|
||||
|
||||
let lhs_size = ctx
|
||||
let lhs_len = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(
|
||||
lhs.load_size(ctx, None),
|
||||
sizeof_elem.get_type(),
|
||||
"",
|
||||
)
|
||||
.build_int_mul(lhs.load_size(ctx, None), llvm_elem_ty.size_of().unwrap(), "")
|
||||
.unwrap();
|
||||
let lhs_len = ctx.builder.build_int_mul(lhs_size, sizeof_elem, "").unwrap();
|
||||
|
||||
let rhs_size = ctx
|
||||
let rhs_len = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(
|
||||
rhs.load_size(ctx, None),
|
||||
sizeof_elem.get_type(),
|
||||
"",
|
||||
)
|
||||
.build_int_mul(rhs.load_size(ctx, None), llvm_elem_ty.size_of().unwrap(), "")
|
||||
.unwrap();
|
||||
let rhs_len = ctx.builder.build_int_mul(rhs_size, sizeof_elem, "").unwrap();
|
||||
|
||||
let list_ptr = new_list.data().base_ptr(ctx, generator);
|
||||
call_memcpy_generic(
|
||||
|
|
@ -1465,7 +1309,6 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
|||
let int_val = call_int_smax(ctx, int_val, llvm_usize.const_zero(), None);
|
||||
|
||||
let elem_llvm_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
let sizeof_elem = elem_llvm_ty.size_of().unwrap();
|
||||
|
||||
let new_list = allocate_list(
|
||||
generator,
|
||||
|
|
@ -1478,7 +1321,6 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(int_val, false),
|
||||
|generator, ctx, _, i| {
|
||||
|
|
@ -1490,18 +1332,15 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
|||
new_list.data().ptr_offset_unchecked(ctx, generator, &offset, None)
|
||||
};
|
||||
|
||||
let list_size = ctx
|
||||
let memcpy_sz = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(
|
||||
.build_int_mul(
|
||||
list_val.load_size(ctx, None),
|
||||
sizeof_elem.get_type(),
|
||||
elem_llvm_ty.size_of().unwrap(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let memcpy_sz =
|
||||
ctx.builder.build_int_mul(list_size, sizeof_elem, "").unwrap();
|
||||
|
||||
call_memcpy_generic(
|
||||
ctx,
|
||||
ptr,
|
||||
|
|
@ -2089,7 +1928,6 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(left_val.load_size(ctx, None), false),
|
||||
|generator, ctx, hooks, i| {
|
||||
|
|
@ -2310,7 +2148,6 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
|||
let llvm_pndarray_t = ctx.get_llvm_type(generator, ndarray_ty).into_pointer_type();
|
||||
let llvm_ndarray_t = llvm_pndarray_t.get_element_type().into_struct_type();
|
||||
let llvm_ndarray_data_t = ctx.get_llvm_type(generator, ty).as_basic_type_enum();
|
||||
let sizeof_elem = llvm_ndarray_data_t.size_of().unwrap();
|
||||
|
||||
// Check that len is non-zero
|
||||
let len = v.load_ndims(ctx);
|
||||
|
|
@ -2521,14 +2358,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
|||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
|
||||
|
||||
let ndarray_num_dims = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(
|
||||
ndarray.load_ndims(ctx),
|
||||
llvm_usize.size_of().get_type(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let v_dims_src_ptr = unsafe {
|
||||
v.dim_sizes().ptr_offset_unchecked(
|
||||
ctx,
|
||||
|
|
@ -2554,10 +2384,6 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
|||
&ndarray.dim_sizes().as_slice_value(ctx, generator),
|
||||
(None, None),
|
||||
);
|
||||
let ndarray_num_elems = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(ndarray_num_elems, sizeof_elem.get_type(), "")
|
||||
.unwrap();
|
||||
ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
|
||||
|
||||
let v_data_src_ptr = v.data().ptr_offset(ctx, generator, &index_addr, None);
|
||||
|
|
|
|||
|
|
@ -130,62 +130,3 @@ pub fn call_ldexp<'ctx>(
|
|||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// 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>,
|
||||
){
|
||||
const FN_NAME: &str = $extern_fn;
|
||||
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.void_type().fn_type(&[$($input_matrix.get_type().into()),*], false);
|
||||
|
||||
let func = ctx.module.add_function(FN_NAME, fn_type, None);
|
||||
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
|
||||
func.add_attribute(
|
||||
AttributeLoc::Function,
|
||||
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
|
||||
);
|
||||
}
|
||||
func
|
||||
});
|
||||
|
||||
ctx.builder.build_call(extern_fn, &[$($input_matrix.into(),)*], name.unwrap_or_default()).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);
|
||||
|
|
|
|||
|
|
@ -123,45 +123,11 @@ 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, 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)
|
||||
gen_assign(self, ctx, target, value)
|
||||
}
|
||||
|
||||
/// Generate code for a while expression.
|
||||
|
|
|
|||
|
|
@ -798,7 +798,6 @@ 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| {
|
||||
|
|
|
|||
|
|
@ -35,40 +35,6 @@ 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>(
|
||||
|
|
|
|||
|
|
@ -68,16 +68,6 @@ 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 {
|
||||
|
|
@ -348,10 +338,6 @@ 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,
|
||||
|
|
@ -375,10 +361,6 @@ 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;
|
||||
|
|
@ -444,7 +426,7 @@ pub struct CodeGenTask {
|
|||
fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ctx: &'ctx Context,
|
||||
module: &Module<'ctx>,
|
||||
generator: &G,
|
||||
generator: &mut G,
|
||||
unifier: &mut Unifier,
|
||||
top_level: &TopLevelContext,
|
||||
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
|
||||
|
|
@ -538,10 +520,8 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
|||
};
|
||||
return ty;
|
||||
}
|
||||
TTuple { ty, is_vararg_ctx } => {
|
||||
TTuple { ty } => {
|
||||
// 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| {
|
||||
|
|
@ -571,7 +551,7 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
|||
fn get_llvm_abi_type<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ctx: &'ctx Context,
|
||||
module: &Module<'ctx>,
|
||||
generator: &G,
|
||||
generator: &mut G,
|
||||
unifier: &mut Unifier,
|
||||
top_level: &TopLevelContext,
|
||||
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
|
||||
|
|
@ -609,40 +589,6 @@ 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,
|
||||
|
|
@ -754,7 +700,6 @@ 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),
|
||||
|
|
@ -777,10 +722,7 @@ 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,
|
||||
|
|
@ -799,12 +741,9 @@ 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(¶ms, vararg_arg.is_some()),
|
||||
_ => context.void_type().fn_type(¶ms, vararg_arg.is_some()),
|
||||
Some(ret_type) if !has_sret => ret_type.fn_type(¶ms, false),
|
||||
_ => context.void_type().fn_type(¶ms, false),
|
||||
};
|
||||
|
||||
let symbol = &task.symbol_name;
|
||||
|
|
@ -834,9 +773,7 @@ pub fn gen_func_impl<
|
|||
|
||||
let mut var_assignment = HashMap::new();
|
||||
let offset = u32::from(has_sret);
|
||||
|
||||
// Store non-vararg argument values into local variables
|
||||
for (n, arg) in args.iter().enumerate().filter(|(_, arg)| !arg.is_vararg) {
|
||||
for (n, arg) in args.iter().enumerate() {
|
||||
let param = fn_val.get_nth_param((n as u32) + offset).unwrap();
|
||||
let local_type = get_llvm_type(
|
||||
context,
|
||||
|
|
@ -869,8 +806,6 @@ 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 {
|
||||
|
|
@ -1093,9 +1028,3 @@ 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()
|
||||
}
|
||||
|
|
|
|||
|
|
@ -26,15 +26,12 @@ use crate::{
|
|||
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.
|
||||
|
|
@ -89,7 +86,6 @@ where
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(shape_len, false),
|
||||
|generator, ctx, _, i| {
|
||||
|
|
@ -135,7 +131,6 @@ where
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(shape_len, false),
|
||||
|generator, ctx, _, i| {
|
||||
|
|
@ -162,7 +157,7 @@ where
|
|||
///
|
||||
/// * `elem_ty` - The element type of the `NDArray`.
|
||||
/// * `shape` - The shape of the `NDArray`, represented am array of [`IntValue`]s.
|
||||
pub fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
|
|
@ -387,7 +382,6 @@ where
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(ndarray_num_elems, false),
|
||||
|generator, ctx, _, i| {
|
||||
|
|
@ -709,12 +703,11 @@ 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 =
|
||||
|
|
@ -950,12 +943,11 @@ 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());
|
||||
|
||||
|
|
@ -1094,17 +1086,13 @@ 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 stride =
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(stride, sizeof_elem.get_type(), "").unwrap();
|
||||
|
||||
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().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());
|
||||
|
|
@ -1138,12 +1126,11 @@ 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 =
|
||||
|
|
@ -1256,7 +1243,6 @@ 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| {
|
||||
|
|
@ -1661,7 +1647,6 @@ 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| {
|
||||
|
|
@ -2029,493 +2014,3 @@ 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))
|
||||
),
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -10,10 +10,10 @@ use crate::{
|
|||
expr::gen_binop_expr,
|
||||
gen_in_range_check,
|
||||
},
|
||||
toplevel::{DefinitionId, TopLevelDef},
|
||||
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId, TopLevelDef},
|
||||
typecheck::{
|
||||
magic_methods::Binop,
|
||||
typedef::{iter_type_vars, FunSignature, Type, TypeEnum},
|
||||
typedef::{FunSignature, Type, TypeEnum},
|
||||
},
|
||||
};
|
||||
use inkwell::{
|
||||
|
|
@ -23,10 +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>(
|
||||
|
|
@ -97,6 +97,8 @@ 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 {
|
||||
|
|
@ -135,6 +137,65 @@ 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::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
|
||||
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!(),
|
||||
}))
|
||||
}
|
||||
|
|
@ -145,20 +206,70 @@ pub fn gen_assign<'ctx, G: CodeGenerator>(
|
|||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
target: &Expr<Option<Type>>,
|
||||
value: ValueEnum<'ctx>,
|
||||
value_ty: Type,
|
||||
) -> Result<(), String> {
|
||||
// See https://docs.python.org/3/reference/simple_stmts.html#assignment-statements.
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
match &target.node {
|
||||
ExprKind::Subscript { value: target, slice: key, .. } => {
|
||||
// Handle "slicing" or "subscription"
|
||||
generator.gen_setitem(ctx, target, key, value, value_ty)?;
|
||||
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::Tuple { elts, .. } | ExprKind::List { elts, .. } => {
|
||||
// Fold on `"[" [target_list] "]"` and `"(" [target_list] ")"`
|
||||
generator.gen_assign_target_list(ctx, elts, 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::TObj { obj_id, params, .. } if *obj_id == PrimDef::List.id() => {
|
||||
*params.iter().next().unwrap().1
|
||||
}
|
||||
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);
|
||||
}
|
||||
_ => {
|
||||
// Handle attribute and direct variable assignments.
|
||||
let name = if let ExprKind::Name { id, .. } = &target.node {
|
||||
format!("{id}.addr")
|
||||
} else {
|
||||
|
|
@ -182,234 +293,6 @@ 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,
|
||||
|
|
@ -432,6 +315,9 @@ 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
|
||||
|
|
@ -440,23 +326,17 @@ 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_ty)?
|
||||
v.to_basic_value_enum(ctx, generator, iter.custom.unwrap())?
|
||||
} else {
|
||||
return Ok(());
|
||||
};
|
||||
|
||||
match &*ctx.unifier.get_ty(iter_ty) {
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
if is_iterable_range_expr {
|
||||
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!()
|
||||
};
|
||||
|
|
@ -465,10 +345,8 @@ 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,
|
||||
|
|
@ -485,10 +363,7 @@ 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,
|
||||
),
|
||||
|
|
@ -518,10 +393,7 @@ pub fn gen_for<G: CodeGenerator>(
|
|||
)
|
||||
.unwrap();
|
||||
generator.gen_block(ctx, body.iter())?;
|
||||
}
|
||||
TypeEnum::TObj { obj_id, params: list_params, .. }
|
||||
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
} else {
|
||||
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
|
||||
|
|
@ -559,14 +431,9 @@ pub fn gen_for<G: CodeGenerator>(
|
|||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap();
|
||||
let val = ctx.build_gep_and_load(arr_ptr, &[index], Some("val"));
|
||||
let val_ty = iter_type_vars(list_params).next().unwrap().ty;
|
||||
generator.gen_assign(ctx, target, val.into(), val_ty)?;
|
||||
generator.gen_assign(ctx, target, val.into())?;
|
||||
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();
|
||||
|
|
@ -627,7 +494,6 @@ pub struct BreakContinueHooks<'ctx> {
|
|||
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,
|
||||
|
|
@ -642,16 +508,14 @@ where
|
|||
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, &format!("{label}.init"));
|
||||
let init_bb = ctx.ctx.insert_basic_block_after(current_bb, "for.init");
|
||||
// The BB containing the loop condition check
|
||||
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"));
|
||||
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");
|
||||
// The BB containing the increment expression
|
||||
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"));
|
||||
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");
|
||||
|
||||
// store loop bb information and restore it later
|
||||
let loop_bb = ctx.loop_target.replace((update_bb, cont_bb));
|
||||
|
|
@ -708,7 +572,6 @@ 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,
|
||||
|
|
@ -728,7 +591,6 @@ where
|
|||
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();
|
||||
|
|
@ -780,11 +642,9 @@ 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),
|
||||
|
|
@ -796,19 +656,13 @@ 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>,
|
||||
BreakContinueHooks,
|
||||
IntValue<'ctx>,
|
||||
) -> Result<(), String>,
|
||||
BodyFn: FnOnce(&mut G, &mut CodeGenContext<'ctx, 'a>, 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)?;
|
||||
|
||||
|
|
@ -866,10 +720,10 @@ where
|
|||
|
||||
Ok(cond)
|
||||
},
|
||||
|generator, ctx, hooks, (i_addr, _)| {
|
||||
|generator, ctx, _, (i_addr, _)| {
|
||||
let i = ctx.builder.build_load(i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
|
||||
|
||||
body_fn(generator, ctx, hooks, i)
|
||||
body_fn(generator, ctx, i)
|
||||
},
|
||||
|generator, ctx, (i_addr, _)| {
|
||||
let i = ctx.builder.build_load(i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
|
||||
|
|
@ -1721,14 +1575,14 @@ pub fn gen_stmt<G: CodeGenerator>(
|
|||
}
|
||||
StmtKind::AnnAssign { target, value, .. } => {
|
||||
if let Some(value) = value {
|
||||
let Some(value_enum) = generator.gen_expr(ctx, value)? else { return Ok(()) };
|
||||
generator.gen_assign(ctx, target, value_enum, value.custom.unwrap())?;
|
||||
let Some(value) = generator.gen_expr(ctx, value)? else { return Ok(()) };
|
||||
generator.gen_assign(ctx, target, value)?;
|
||||
}
|
||||
}
|
||||
StmtKind::Assign { targets, value, .. } => {
|
||||
let Some(value_enum) = generator.gen_expr(ctx, value)? else { return Ok(()) };
|
||||
let Some(value) = generator.gen_expr(ctx, value)? else { return Ok(()) };
|
||||
for target in targets {
|
||||
generator.gen_assign(ctx, target, value_enum.clone(), value.custom.unwrap())?;
|
||||
generator.gen_assign(ctx, target, value.clone())?;
|
||||
}
|
||||
}
|
||||
StmtKind::Continue { .. } => {
|
||||
|
|
@ -1742,16 +1596,15 @@ 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_enum = gen_binop_expr(
|
||||
let value = gen_binop_expr(
|
||||
generator,
|
||||
ctx,
|
||||
target,
|
||||
Binop::aug_assign(*op),
|
||||
value,
|
||||
stmt.location,
|
||||
)?
|
||||
.unwrap();
|
||||
generator.gen_assign(ctx, target, value_enum, value.custom.unwrap())?;
|
||||
)?;
|
||||
generator.gen_assign(ctx, target, value.unwrap())?;
|
||||
}
|
||||
StmtKind::Try { .. } => gen_try(generator, ctx, stmt)?,
|
||||
StmtKind::Raise { exc, .. } => {
|
||||
|
|
|
|||
|
|
@ -109,18 +109,8 @@ 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,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "b".into(),
|
||||
ty: primitives.int32,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg { name: "a".into(), ty: primitives.int32, default_value: None },
|
||||
FuncArg { name: "b".into(), ty: primitives.int32, default_value: None },
|
||||
],
|
||||
ret: primitives.int32,
|
||||
vars: VarMap::new(),
|
||||
|
|
@ -199,8 +189,6 @@ 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 {
|
||||
|
|
@ -265,12 +253,7 @@ 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,
|
||||
is_vararg: false,
|
||||
}],
|
||||
args: vec![FuncArg { name: "a".into(), ty: primitives.int32, default_value: None }],
|
||||
ret: primitives.int32,
|
||||
vars: VarMap::new(),
|
||||
};
|
||||
|
|
@ -385,8 +368,6 @@ 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 {
|
||||
|
|
|
|||
|
|
@ -78,14 +78,14 @@ impl SymbolValue {
|
|||
}
|
||||
Constant::Tuple(t) => {
|
||||
let expected_ty = unifier.get_ty(expected_ty);
|
||||
let TypeEnum::TTuple { ty, is_vararg_ctx } = expected_ty.as_ref() else {
|
||||
let TypeEnum::TTuple { ty } = expected_ty.as_ref() else {
|
||||
return Err(format!(
|
||||
"Expected {:?}, but got Tuple",
|
||||
expected_ty.get_type_name()
|
||||
));
|
||||
};
|
||||
|
||||
assert!(*is_vararg_ctx || ty.len() == t.len());
|
||||
assert_eq!(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, is_vararg_ctx: false })
|
||||
unifier.add_ty(TypeEnum::TTuple { ty: vs_tys })
|
||||
}
|
||||
SymbolValue::OptionSome(_) | SymbolValue::OptionNone => primitives.option,
|
||||
}
|
||||
|
|
@ -482,7 +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, is_vararg_ctx: false }))
|
||||
Ok(unifier.add_ty(TypeEnum::TTuple { ty }))
|
||||
} else {
|
||||
Err(HashSet::from(["Expected multiple elements for tuple".into()]))
|
||||
}
|
||||
|
|
|
|||
|
|
@ -45,26 +45,10 @@ pub fn get_exn_constructor(
|
|||
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,
|
||||
},
|
||||
FuncArg { name: "param0".into(), ty: int64, default_value: Some(SymbolValue::I64(0)) },
|
||||
FuncArg { name: "param1".into(), ty: int64, default_value: Some(SymbolValue::I64(0)) },
|
||||
FuncArg { name: "param2".into(), ty: int64, default_value: Some(SymbolValue::I64(0)) },
|
||||
];
|
||||
let exn_type = unifier.add_ty(TypeEnum::TObj {
|
||||
obj_id: DefinitionId(class_id),
|
||||
|
|
@ -130,12 +114,7 @@ fn create_fn_by_codegen(
|
|||
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: param_ty
|
||||
.iter()
|
||||
.map(|p| FuncArg {
|
||||
name: p.1.into(),
|
||||
ty: p.0,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
})
|
||||
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
|
||||
.collect(),
|
||||
ret: ret_ty,
|
||||
vars: var_map.clone(),
|
||||
|
|
@ -367,8 +346,8 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
let (is_some_ty, unwrap_ty, option_tvar) =
|
||||
if let TypeEnum::TObj { fields, params, .. } = unifier.get_ty(option).as_ref() {
|
||||
(
|
||||
*fields.get(&PrimDef::FunOptionIsSome.simple_name().into()).unwrap(),
|
||||
*fields.get(&PrimDef::FunOptionUnwrap.simple_name().into()).unwrap(),
|
||||
*fields.get(&PrimDef::OptionIsSome.simple_name().into()).unwrap(),
|
||||
*fields.get(&PrimDef::OptionUnwrap.simple_name().into()).unwrap(),
|
||||
iter_type_vars(params).next().unwrap(),
|
||||
)
|
||||
} else {
|
||||
|
|
@ -383,9 +362,9 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
let ndarray_dtype_tvar = iter_type_vars(ndarray_params).next().unwrap();
|
||||
let ndarray_ndims_tvar = iter_type_vars(ndarray_params).nth(1).unwrap();
|
||||
let ndarray_copy_ty =
|
||||
*ndarray_fields.get(&PrimDef::FunNDArrayCopy.simple_name().into()).unwrap();
|
||||
*ndarray_fields.get(&PrimDef::NDArrayCopy.simple_name().into()).unwrap();
|
||||
let ndarray_fill_ty =
|
||||
*ndarray_fields.get(&PrimDef::FunNDArrayFill.simple_name().into()).unwrap();
|
||||
*ndarray_fields.get(&PrimDef::NDArrayFill.simple_name().into()).unwrap();
|
||||
|
||||
let num_ty = unifier.get_fresh_var_with_range(
|
||||
&[int32, int64, float, boolean, uint32, uint64],
|
||||
|
|
@ -485,14 +464,14 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
PrimDef::Exception => self.build_exception_class_related(prim),
|
||||
|
||||
PrimDef::Option
|
||||
| PrimDef::FunOptionIsSome
|
||||
| PrimDef::FunOptionIsNone
|
||||
| PrimDef::FunOptionUnwrap
|
||||
| PrimDef::OptionIsSome
|
||||
| PrimDef::OptionIsNone
|
||||
| PrimDef::OptionUnwrap
|
||||
| PrimDef::FunSome => self.build_option_class_related(prim),
|
||||
|
||||
PrimDef::List => self.build_list_class_related(prim),
|
||||
|
||||
PrimDef::NDArray | PrimDef::FunNDArrayCopy | PrimDef::FunNDArrayFill => {
|
||||
PrimDef::NDArray | PrimDef::NDArrayCopy | PrimDef::NDArrayFill => {
|
||||
self.build_ndarray_class_related(prim)
|
||||
}
|
||||
|
||||
|
|
@ -577,22 +556,6 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
| PrimDef::FunNpLdExp
|
||||
| PrimDef::FunNpHypot
|
||||
| PrimDef::FunNpNextAfter => self.build_np_2ary_function(prim),
|
||||
|
||||
PrimDef::FunNpTranspose | PrimDef::FunNpReshape => {
|
||||
self.build_np_sp_ndarray_function(prim)
|
||||
}
|
||||
|
||||
PrimDef::FunNpDot
|
||||
| PrimDef::FunNpLinalgCholesky
|
||||
| PrimDef::FunNpLinalgQr
|
||||
| PrimDef::FunNpLinalgSvd
|
||||
| PrimDef::FunNpLinalgInv
|
||||
| PrimDef::FunNpLinalgPinv
|
||||
| PrimDef::FunNpLinalgMatrixPower
|
||||
| PrimDef::FunNpLinalgDet
|
||||
| PrimDef::FunSpLinalgLu
|
||||
| PrimDef::FunSpLinalgSchur
|
||||
| PrimDef::FunSpLinalgHessenberg => self.build_linalg_methods(prim),
|
||||
};
|
||||
|
||||
if cfg!(debug_assertions) {
|
||||
|
|
@ -650,24 +613,17 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
let make_ctor_signature = |unifier: &mut Unifier| {
|
||||
unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: vec![
|
||||
FuncArg {
|
||||
name: "start".into(),
|
||||
ty: int32,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg { name: "start".into(), ty: int32, default_value: None },
|
||||
FuncArg {
|
||||
name: "stop".into(),
|
||||
ty: int32,
|
||||
// placeholder
|
||||
default_value: Some(SymbolValue::I32(0)),
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "step".into(),
|
||||
ty: int32,
|
||||
default_value: Some(SymbolValue::I32(1)),
|
||||
is_vararg: false,
|
||||
},
|
||||
],
|
||||
ret: range,
|
||||
|
|
@ -838,9 +794,9 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
prim,
|
||||
&[
|
||||
PrimDef::Option,
|
||||
PrimDef::FunOptionIsSome,
|
||||
PrimDef::FunOptionIsNone,
|
||||
PrimDef::FunOptionUnwrap,
|
||||
PrimDef::OptionIsSome,
|
||||
PrimDef::OptionIsNone,
|
||||
PrimDef::OptionUnwrap,
|
||||
PrimDef::FunSome,
|
||||
],
|
||||
);
|
||||
|
|
@ -853,9 +809,9 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
fields: Vec::default(),
|
||||
attributes: Vec::default(),
|
||||
methods: vec![
|
||||
Self::create_method(PrimDef::FunOptionIsSome, self.is_some_ty.0),
|
||||
Self::create_method(PrimDef::FunOptionIsNone, self.is_some_ty.0),
|
||||
Self::create_method(PrimDef::FunOptionUnwrap, self.unwrap_ty.0),
|
||||
Self::create_method(PrimDef::OptionIsSome, self.is_some_ty.0),
|
||||
Self::create_method(PrimDef::OptionIsNone, self.is_some_ty.0),
|
||||
Self::create_method(PrimDef::OptionUnwrap, self.unwrap_ty.0),
|
||||
],
|
||||
ancestors: vec![TypeAnnotation::CustomClass {
|
||||
id: prim.id(),
|
||||
|
|
@ -866,7 +822,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
loc: None,
|
||||
},
|
||||
|
||||
PrimDef::FunOptionUnwrap => TopLevelDef::Function {
|
||||
PrimDef::OptionUnwrap => TopLevelDef::Function {
|
||||
name: prim.name().into(),
|
||||
simple_name: prim.simple_name().into(),
|
||||
signature: self.unwrap_ty.0,
|
||||
|
|
@ -880,7 +836,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
loc: None,
|
||||
},
|
||||
|
||||
PrimDef::FunOptionIsNone | PrimDef::FunOptionIsSome => TopLevelDef::Function {
|
||||
PrimDef::OptionIsNone | PrimDef::OptionIsSome => TopLevelDef::Function {
|
||||
name: prim.name().to_string(),
|
||||
simple_name: prim.simple_name().into(),
|
||||
signature: self.is_some_ty.0,
|
||||
|
|
@ -901,10 +857,10 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
};
|
||||
|
||||
let returned_int = match prim {
|
||||
PrimDef::FunOptionIsNone => {
|
||||
PrimDef::OptionIsNone => {
|
||||
ctx.builder.build_is_null(ptr, prim.simple_name())
|
||||
}
|
||||
PrimDef::FunOptionIsSome => {
|
||||
PrimDef::OptionIsSome => {
|
||||
ctx.builder.build_is_not_null(ptr, prim.simple_name())
|
||||
}
|
||||
_ => unreachable!(),
|
||||
|
|
@ -923,7 +879,6 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
name: "n".into(),
|
||||
ty: self.option_tvar.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: self.primitives.option,
|
||||
vars: into_var_map([self.option_tvar]),
|
||||
|
|
@ -978,7 +933,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
fn build_ndarray_class_related(&self, prim: PrimDef) -> TopLevelDef {
|
||||
debug_assert_prim_is_allowed(
|
||||
prim,
|
||||
&[PrimDef::NDArray, PrimDef::FunNDArrayCopy, PrimDef::FunNDArrayFill],
|
||||
&[PrimDef::NDArray, PrimDef::NDArrayCopy, PrimDef::NDArrayFill],
|
||||
);
|
||||
|
||||
match prim {
|
||||
|
|
@ -989,8 +944,8 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
fields: Vec::default(),
|
||||
attributes: Vec::default(),
|
||||
methods: vec![
|
||||
Self::create_method(PrimDef::FunNDArrayCopy, self.ndarray_copy_ty.0),
|
||||
Self::create_method(PrimDef::FunNDArrayFill, self.ndarray_fill_ty.0),
|
||||
Self::create_method(PrimDef::NDArrayCopy, self.ndarray_copy_ty.0),
|
||||
Self::create_method(PrimDef::NDArrayFill, self.ndarray_fill_ty.0),
|
||||
],
|
||||
ancestors: Vec::default(),
|
||||
constructor: None,
|
||||
|
|
@ -998,7 +953,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
loc: None,
|
||||
},
|
||||
|
||||
PrimDef::FunNDArrayCopy => TopLevelDef::Function {
|
||||
PrimDef::NDArrayCopy => TopLevelDef::Function {
|
||||
name: prim.name().into(),
|
||||
simple_name: prim.simple_name().into(),
|
||||
signature: self.ndarray_copy_ty.0,
|
||||
|
|
@ -1015,7 +970,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
loc: None,
|
||||
},
|
||||
|
||||
PrimDef::FunNDArrayFill => TopLevelDef::Function {
|
||||
PrimDef::NDArrayFill => TopLevelDef::Function {
|
||||
name: prim.name().into(),
|
||||
simple_name: prim.simple_name().into(),
|
||||
signature: self.ndarray_fill_ty.0,
|
||||
|
|
@ -1058,7 +1013,6 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
name: "n".into(),
|
||||
ty: self.num_or_ndarray_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: self.num_or_ndarray_ty.ty,
|
||||
vars: self.num_or_ndarray_var_map.clone(),
|
||||
|
|
@ -1278,23 +1232,16 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
simple_name: prim.simple_name().into(),
|
||||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: vec![
|
||||
FuncArg {
|
||||
name: "object".into(),
|
||||
ty: tv.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg { name: "object".into(), ty: tv.ty, default_value: None },
|
||||
FuncArg {
|
||||
name: "copy".into(),
|
||||
ty: bool,
|
||||
default_value: Some(SymbolValue::Bool(true)),
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "ndmin".into(),
|
||||
ty: int32,
|
||||
default_value: Some(SymbolValue::U32(0)),
|
||||
is_vararg: false,
|
||||
},
|
||||
],
|
||||
ret: ndarray,
|
||||
|
|
@ -1336,24 +1283,17 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
simple_name: prim.simple_name().into(),
|
||||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: vec![
|
||||
FuncArg {
|
||||
name: "N".into(),
|
||||
ty: int32,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg { name: "N".into(), ty: int32, default_value: None },
|
||||
// TODO(Derppening): Default values current do not work?
|
||||
FuncArg {
|
||||
name: "M".into(),
|
||||
ty: int32,
|
||||
default_value: Some(SymbolValue::OptionNone),
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "k".into(),
|
||||
ty: int32,
|
||||
default_value: Some(SymbolValue::I32(0)),
|
||||
is_vararg: false,
|
||||
},
|
||||
],
|
||||
ret: self.ndarray_float_2d,
|
||||
|
|
@ -1397,12 +1337,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
name: prim.name().into(),
|
||||
simple_name: prim.simple_name().into(),
|
||||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: vec![FuncArg {
|
||||
name: "s".into(),
|
||||
ty: str,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
args: vec![FuncArg { name: "s".into(), ty: str, default_value: None }],
|
||||
ret: str,
|
||||
vars: VarMap::default(),
|
||||
})),
|
||||
|
|
@ -1488,12 +1423,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
name: prim.name().into(),
|
||||
simple_name: prim.simple_name().into(),
|
||||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: vec![FuncArg {
|
||||
name: "ls".into(),
|
||||
ty: arg_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
args: vec![FuncArg { name: "ls".into(), ty: arg_ty.ty, default_value: None }],
|
||||
ret: int32,
|
||||
vars: into_var_map([tvar, arg_ty]),
|
||||
})),
|
||||
|
|
@ -1598,18 +1528,8 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
simple_name: prim.simple_name().into(),
|
||||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: vec![
|
||||
FuncArg {
|
||||
name: "m".into(),
|
||||
ty: self.num_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "n".into(),
|
||||
ty: self.num_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg { name: "m".into(), ty: self.num_ty.ty, default_value: None },
|
||||
FuncArg { name: "n".into(), ty: self.num_ty.ty, default_value: None },
|
||||
],
|
||||
ret: self.num_ty.ty,
|
||||
vars: self.num_var_map.clone(),
|
||||
|
|
@ -1691,12 +1611,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: param_ty
|
||||
.iter()
|
||||
.map(|p| FuncArg {
|
||||
name: p.1.into(),
|
||||
ty: p.0,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
})
|
||||
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
|
||||
.collect(),
|
||||
ret: ret_ty.ty,
|
||||
vars: into_var_map([x1_ty, x2_ty, ret_ty]),
|
||||
|
|
@ -1737,7 +1652,6 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
name: "n".into(),
|
||||
ty: self.num_or_ndarray_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: self.num_or_ndarray_ty.ty,
|
||||
vars: self.num_or_ndarray_var_map.clone(),
|
||||
|
|
@ -1926,12 +1840,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
signature: self.unifier.add_ty(TypeEnum::TFunc(FunSignature {
|
||||
args: param_ty
|
||||
.iter()
|
||||
.map(|p| FuncArg {
|
||||
name: p.1.into(),
|
||||
ty: p.0,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
})
|
||||
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
|
||||
.collect(),
|
||||
ret: ret_ty.ty,
|
||||
vars: into_var_map([x1_ty, x2_ty, ret_ty]),
|
||||
|
|
@ -1965,207 +1874,6 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
}
|
||||
}
|
||||
|
||||
/// Build np/sp functions that take as input `NDArray` only
|
||||
fn build_np_sp_ndarray_function(&mut self, prim: PrimDef) -> TopLevelDef {
|
||||
debug_assert_prim_is_allowed(prim, &[PrimDef::FunNpTranspose, PrimDef::FunNpReshape]);
|
||||
|
||||
match prim {
|
||||
PrimDef::FunNpTranspose => {
|
||||
let ndarray_ty = self.unifier.get_fresh_var_with_range(
|
||||
&[self.ndarray_num_ty],
|
||||
Some("T".into()),
|
||||
None,
|
||||
);
|
||||
create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&into_var_map([ndarray_ty]),
|
||||
prim.name(),
|
||||
ndarray_ty.ty,
|
||||
&[(ndarray_ty.ty, "x")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let arg_ty = fun.0.args[0].ty;
|
||||
let arg_val =
|
||||
args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
|
||||
Ok(Some(ndarray_transpose(generator, ctx, (arg_ty, arg_val))?))
|
||||
}),
|
||||
)
|
||||
}
|
||||
|
||||
// NOTE: on `ndarray_factory_fn_shape_arg_tvar` and
|
||||
// the `param_ty` for `create_fn_by_codegen`.
|
||||
//
|
||||
// Similar to `build_ndarray_from_shape_factory_function` we delegate the responsibility of typechecking
|
||||
// to [`typecheck::type_inferencer::Inferencer::fold_numpy_function_call_shape_argument`],
|
||||
// and use a dummy [`TypeVar`] `ndarray_factory_fn_shape_arg_tvar` as a placeholder for `param_ty`.
|
||||
PrimDef::FunNpReshape => create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&VarMap::new(),
|
||||
prim.name(),
|
||||
self.ndarray_num_ty,
|
||||
&[(self.ndarray_num_ty, "x"), (self.ndarray_factory_fn_shape_arg_tvar.ty, "shape")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
let x2_ty = fun.0.args[1].ty;
|
||||
let x2_val = args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
|
||||
Ok(Some(ndarray_reshape(generator, ctx, (x1_ty, x1_val), (x2_ty, x2_val))?))
|
||||
}),
|
||||
),
|
||||
|
||||
_ => unreachable!(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Build `np_linalg` and `sp_linalg` functions
|
||||
///
|
||||
/// The input to these functions must be floating point `NDArray`
|
||||
fn build_linalg_methods(&mut self, prim: PrimDef) -> TopLevelDef {
|
||||
debug_assert_prim_is_allowed(
|
||||
prim,
|
||||
&[
|
||||
PrimDef::FunNpDot,
|
||||
PrimDef::FunNpLinalgCholesky,
|
||||
PrimDef::FunNpLinalgQr,
|
||||
PrimDef::FunNpLinalgSvd,
|
||||
PrimDef::FunNpLinalgInv,
|
||||
PrimDef::FunNpLinalgPinv,
|
||||
PrimDef::FunNpLinalgMatrixPower,
|
||||
PrimDef::FunNpLinalgDet,
|
||||
PrimDef::FunSpLinalgLu,
|
||||
PrimDef::FunSpLinalgSchur,
|
||||
PrimDef::FunSpLinalgHessenberg,
|
||||
],
|
||||
);
|
||||
|
||||
match prim {
|
||||
PrimDef::FunNpDot => create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&self.num_or_ndarray_var_map,
|
||||
prim.name(),
|
||||
self.num_ty.ty,
|
||||
&[(self.num_or_ndarray_ty.ty, "x1"), (self.num_or_ndarray_ty.ty, "x2")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
let x2_ty = fun.0.args[1].ty;
|
||||
let x2_val = args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
|
||||
|
||||
Ok(Some(ndarray_dot(generator, ctx, (x1_ty, x1_val), (x2_ty, x2_val))?))
|
||||
}),
|
||||
),
|
||||
|
||||
PrimDef::FunNpLinalgCholesky | PrimDef::FunNpLinalgInv | PrimDef::FunNpLinalgPinv => {
|
||||
create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&VarMap::new(),
|
||||
prim.name(),
|
||||
self.ndarray_float_2d,
|
||||
&[(self.ndarray_float_2d, "x1")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val =
|
||||
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
|
||||
let func = match prim {
|
||||
PrimDef::FunNpLinalgCholesky => builtin_fns::call_np_linalg_cholesky,
|
||||
PrimDef::FunNpLinalgInv => builtin_fns::call_np_linalg_inv,
|
||||
PrimDef::FunNpLinalgPinv => builtin_fns::call_np_linalg_pinv,
|
||||
_ => unreachable!(),
|
||||
};
|
||||
Ok(Some(func(generator, ctx, (x1_ty, x1_val))?))
|
||||
}),
|
||||
)
|
||||
}
|
||||
|
||||
PrimDef::FunNpLinalgQr
|
||||
| PrimDef::FunSpLinalgLu
|
||||
| PrimDef::FunSpLinalgSchur
|
||||
| PrimDef::FunSpLinalgHessenberg => {
|
||||
let ret_ty = self.unifier.add_ty(TypeEnum::TTuple {
|
||||
ty: vec![self.ndarray_float_2d, self.ndarray_float_2d],
|
||||
is_vararg_ctx: false,
|
||||
});
|
||||
create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&VarMap::new(),
|
||||
prim.name(),
|
||||
ret_ty,
|
||||
&[(self.ndarray_float_2d, "x1")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val =
|
||||
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
|
||||
let func = match prim {
|
||||
PrimDef::FunNpLinalgQr => builtin_fns::call_np_linalg_qr,
|
||||
PrimDef::FunSpLinalgLu => builtin_fns::call_sp_linalg_lu,
|
||||
PrimDef::FunSpLinalgSchur => builtin_fns::call_sp_linalg_schur,
|
||||
PrimDef::FunSpLinalgHessenberg => {
|
||||
builtin_fns::call_sp_linalg_hessenberg
|
||||
}
|
||||
_ => unreachable!(),
|
||||
};
|
||||
Ok(Some(func(generator, ctx, (x1_ty, x1_val))?))
|
||||
}),
|
||||
)
|
||||
}
|
||||
|
||||
PrimDef::FunNpLinalgSvd => {
|
||||
let ret_ty = self.unifier.add_ty(TypeEnum::TTuple {
|
||||
ty: vec![self.ndarray_float_2d, self.ndarray_float, self.ndarray_float_2d],
|
||||
is_vararg_ctx: false,
|
||||
});
|
||||
create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&VarMap::new(),
|
||||
prim.name(),
|
||||
ret_ty,
|
||||
&[(self.ndarray_float_2d, "x1")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val =
|
||||
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
|
||||
Ok(Some(builtin_fns::call_np_linalg_svd(generator, ctx, (x1_ty, x1_val))?))
|
||||
}),
|
||||
)
|
||||
}
|
||||
PrimDef::FunNpLinalgMatrixPower => create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&VarMap::new(),
|
||||
prim.name(),
|
||||
self.ndarray_float_2d,
|
||||
&[(self.ndarray_float_2d, "x1"), (self.primitives.int32, "power")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
let x2_ty = fun.0.args[1].ty;
|
||||
let x2_val = args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
|
||||
|
||||
Ok(Some(builtin_fns::call_np_linalg_matrix_power(
|
||||
generator,
|
||||
ctx,
|
||||
(x1_ty, x1_val),
|
||||
(x2_ty, x2_val),
|
||||
)?))
|
||||
}),
|
||||
),
|
||||
PrimDef::FunNpLinalgDet => create_fn_by_codegen(
|
||||
self.unifier,
|
||||
&VarMap::new(),
|
||||
prim.name(),
|
||||
self.primitives.float,
|
||||
&[(self.ndarray_float_2d, "x1")],
|
||||
Box::new(move |ctx, _, fun, args, generator| {
|
||||
let x1_ty = fun.0.args[0].ty;
|
||||
let x1_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
|
||||
Ok(Some(builtin_fns::call_np_linalg_det(generator, ctx, (x1_ty, x1_val))?))
|
||||
}),
|
||||
),
|
||||
_ => unreachable!(),
|
||||
}
|
||||
}
|
||||
|
||||
fn create_method(prim: PrimDef, method_ty: Type) -> (StrRef, Type, DefinitionId) {
|
||||
(prim.simple_name().into(), method_ty, prim.id())
|
||||
}
|
||||
|
|
|
|||
|
|
@ -860,73 +860,7 @@ impl TopLevelComposer {
|
|||
let resolver = &**resolver;
|
||||
|
||||
let mut function_var_map = VarMap::new();
|
||||
|
||||
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 = {
|
||||
let arg_types = {
|
||||
// make sure no duplicate parameter
|
||||
let mut defined_parameter_name: HashSet<_> = HashSet::new();
|
||||
for x in &args.args {
|
||||
|
|
@ -1027,18 +961,11 @@ 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 = {
|
||||
|
|
@ -1290,7 +1217,6 @@ impl TopLevelComposer {
|
|||
})
|
||||
}
|
||||
},
|
||||
is_vararg: false,
|
||||
};
|
||||
// push the dummy type and the type annotation
|
||||
// into the list for later unification
|
||||
|
|
@ -1716,25 +1642,21 @@ 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,
|
||||
|
|
@ -1944,7 +1866,6 @@ 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()
|
||||
};
|
||||
|
|
|
|||
|
|
@ -27,22 +27,17 @@ pub enum PrimDef {
|
|||
List,
|
||||
NDArray,
|
||||
|
||||
// Option methods
|
||||
FunOptionIsSome,
|
||||
FunOptionIsNone,
|
||||
FunOptionUnwrap,
|
||||
|
||||
// Option-related functions
|
||||
FunSome,
|
||||
|
||||
// NDArray methods
|
||||
FunNDArrayCopy,
|
||||
FunNDArrayFill,
|
||||
|
||||
// Range methods
|
||||
FunRangeInit,
|
||||
|
||||
// NumPy factory functions
|
||||
// Member Functions
|
||||
OptionIsSome,
|
||||
OptionIsNone,
|
||||
OptionUnwrap,
|
||||
NDArrayCopy,
|
||||
NDArrayFill,
|
||||
FunInt32,
|
||||
FunInt64,
|
||||
FunUInt32,
|
||||
FunUInt64,
|
||||
FunFloat,
|
||||
FunNpNDArray,
|
||||
FunNpEmpty,
|
||||
FunNpZeros,
|
||||
|
|
@ -51,17 +46,28 @@ pub enum PrimDef {
|
|||
FunNpArray,
|
||||
FunNpEye,
|
||||
FunNpIdentity,
|
||||
|
||||
// Miscellaneous NumPy & SciPy functions
|
||||
FunRound,
|
||||
FunRound64,
|
||||
FunNpRound,
|
||||
FunRangeInit,
|
||||
FunStr,
|
||||
FunBool,
|
||||
FunFloor,
|
||||
FunFloor64,
|
||||
FunNpFloor,
|
||||
FunCeil,
|
||||
FunCeil64,
|
||||
FunNpCeil,
|
||||
FunLen,
|
||||
FunMin,
|
||||
FunNpMin,
|
||||
FunNpMinimum,
|
||||
FunNpArgmin,
|
||||
FunMax,
|
||||
FunNpMax,
|
||||
FunNpMaximum,
|
||||
FunNpArgmax,
|
||||
FunAbs,
|
||||
FunNpIsNan,
|
||||
FunNpIsInf,
|
||||
FunNpSin,
|
||||
|
|
@ -99,40 +105,9 @@ pub enum PrimDef {
|
|||
FunNpLdExp,
|
||||
FunNpHypot,
|
||||
FunNpNextAfter,
|
||||
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,
|
||||
// Top-Level Functions
|
||||
FunSome,
|
||||
}
|
||||
|
||||
/// Associated details of a [`PrimDef`]
|
||||
|
|
@ -198,7 +173,6 @@ impl PrimDef {
|
|||
}
|
||||
|
||||
match self {
|
||||
// Classes
|
||||
PrimDef::Int32 => class("int32", |primitives| primitives.int32),
|
||||
PrimDef::Int64 => class("int64", |primitives| primitives.int64),
|
||||
PrimDef::Float => class("float", |primitives| primitives.float),
|
||||
|
|
@ -210,25 +184,18 @@ impl PrimDef {
|
|||
PrimDef::UInt32 => class("uint32", |primitives| primitives.uint32),
|
||||
PrimDef::UInt64 => class("uint64", |primitives| primitives.uint64),
|
||||
PrimDef::Option => class("Option", |primitives| primitives.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::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::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),
|
||||
PrimDef::FunNpNDArray => fun("np_ndarray", None),
|
||||
PrimDef::FunNpEmpty => fun("np_empty", None),
|
||||
PrimDef::FunNpZeros => fun("np_zeros", None),
|
||||
|
|
@ -237,17 +204,28 @@ impl PrimDef {
|
|||
PrimDef::FunNpArray => fun("np_array", None),
|
||||
PrimDef::FunNpEye => fun("np_eye", None),
|
||||
PrimDef::FunNpIdentity => fun("np_identity", None),
|
||||
|
||||
// Miscellaneous NumPy & SciPy functions
|
||||
PrimDef::FunRound => fun("round", None),
|
||||
PrimDef::FunRound64 => fun("round64", None),
|
||||
PrimDef::FunNpRound => fun("np_round", None),
|
||||
PrimDef::FunRangeInit => fun("range.__init__", Some("__init__")),
|
||||
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::FunNpArgmin => fun("np_argmin", None),
|
||||
PrimDef::FunMax => fun("max", None),
|
||||
PrimDef::FunNpMax => fun("np_max", None),
|
||||
PrimDef::FunNpMaximum => fun("np_maximum", None),
|
||||
PrimDef::FunNpArgmax => fun("np_argmax", None),
|
||||
PrimDef::FunAbs => fun("abs", None),
|
||||
PrimDef::FunNpIsNan => fun("np_isnan", None),
|
||||
PrimDef::FunNpIsInf => fun("np_isinf", None),
|
||||
PrimDef::FunNpSin => fun("np_sin", None),
|
||||
|
|
@ -285,40 +263,7 @@ impl PrimDef {
|
|||
PrimDef::FunNpLdExp => fun("np_ldexp", None),
|
||||
PrimDef::FunNpHypot => fun("np_hypot", None),
|
||||
PrimDef::FunNpNextAfter => fun("np_nextafter", 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),
|
||||
PrimDef::FunSome => fun("Some", None),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -469,9 +414,9 @@ impl TopLevelComposer {
|
|||
let option = unifier.add_ty(TypeEnum::TObj {
|
||||
obj_id: PrimDef::Option.id(),
|
||||
fields: vec![
|
||||
(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)),
|
||||
(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)),
|
||||
]
|
||||
.into_iter()
|
||||
.collect::<HashMap<_, _>>(),
|
||||
|
|
@ -505,7 +450,6 @@ 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]),
|
||||
|
|
@ -513,8 +457,8 @@ impl TopLevelComposer {
|
|||
let ndarray = unifier.add_ty(TypeEnum::TObj {
|
||||
obj_id: PrimDef::NDArray.id(),
|
||||
fields: Mapping::from([
|
||||
(PrimDef::FunNDArrayCopy.simple_name().into(), (ndarray_copy_fun_ty, true)),
|
||||
(PrimDef::FunNDArrayFill.simple_name().into(), (ndarray_fill_fun_ty, true)),
|
||||
(PrimDef::NDArrayCopy.simple_name().into(), (ndarray_copy_fun_ty, true)),
|
||||
(PrimDef::NDArrayFill.simple_name().into(), (ndarray_fill_fun_ty, true)),
|
||||
]),
|
||||
params: into_var_map([ndarray_dtype_tvar, ndarray_ndims_tvar]),
|
||||
});
|
||||
|
|
|
|||
|
|
@ -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(246)]\n}\n",
|
||||
"Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(245)]\n}\n",
|
||||
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [\"aa\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\")],\ntype_vars: []\n}\n",
|
||||
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"B.foo\",\nsig: \"fn[[b:T], none]\",\nvar_id: []\n}\n",
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@ expression: res_vec
|
|||
"Function {\nname: \"A.__init__\",\nsig: \"fn[[t:T], none]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"A.foo\",\nsig: \"fn[[c:C], none]\",\nvar_id: []\n}\n",
|
||||
"Class {\nname: \"B\",\nancestors: [\"B[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",
|
||||
"Class {\nname: \"B\",\nancestors: [\"B[typevar234]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: [\"typevar234\"]\n}\n",
|
||||
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"B.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
|
||||
"Class {\nname: \"C\",\nancestors: [\"C\", \"B[bool]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\", \"e\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: []\n}\n",
|
||||
|
|
|
|||
|
|
@ -5,8 +5,8 @@ expression: res_vec
|
|||
[
|
||||
"Function {\nname: \"foo\",\nsig: \"fn[[a:list[int32], b:tuple[T, float]], A[B, bool]]\",\nvar_id: []\n}\n",
|
||||
"Class {\nname: \"A\",\nancestors: [\"A[T, V]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[v:V], none]\"), (\"fun\", \"fn[[a:T], V]\")],\ntype_vars: [\"T\", \"V\"]\n}\n",
|
||||
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(248)]\n}\n",
|
||||
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(253)]\n}\n",
|
||||
"Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(247)]\n}\n",
|
||||
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(252)]\n}\n",
|
||||
"Function {\nname: \"gfun\",\nsig: \"fn[[a:A[list[float], int32]], none]\",\nvar_id: []\n}\n",
|
||||
"Class {\nname: \"B\",\nancestors: [\"B\"],\nfields: [],\nmethods: [(\"__init__\", \"fn[[], none]\")],\ntype_vars: []\n}\n",
|
||||
"Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@ source: nac3core/src/toplevel/test.rs
|
|||
expression: res_vec
|
||||
---
|
||||
[
|
||||
"Class {\nname: \"A\",\nancestors: [\"A[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",
|
||||
"Class {\nname: \"A\",\nancestors: [\"A[typevar233, typevar234]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[float, bool], b:B], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\")],\ntype_vars: [\"typevar233\", \"typevar234\"]\n}\n",
|
||||
"Function {\nname: \"A.__init__\",\nsig: \"fn[[a:A[float, bool], b:B], none]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"A.fun\",\nsig: \"fn[[a:A[float, bool]], A[bool, int32]]\",\nvar_id: []\n}\n",
|
||||
"Class {\nname: \"B\",\nancestors: [\"B\", \"A[int64, bool]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\"), (\"foo\", \"fn[[b:B], B]\"), (\"bar\", \"fn[[a:A[list[B], int32]], tuple[A[virtual[A[B, int32]], bool], B]]\")],\ntype_vars: []\n}\n",
|
||||
|
|
|
|||
|
|
@ -6,12 +6,12 @@ expression: res_vec
|
|||
"Class {\nname: \"A\",\nancestors: [\"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
|
||||
"Function {\nname: \"A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"A.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
|
||||
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(254)]\n}\n",
|
||||
"Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(253)]\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(262)]\n}\n",
|
||||
"Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(261)]\n}\n",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -552,7 +552,7 @@ pub fn get_type_from_type_annotation_kinds(
|
|||
)
|
||||
})
|
||||
.collect::<Result<Vec<_>, _>>()?;
|
||||
Ok(unifier.add_ty(TypeEnum::TTuple { ty: tys, is_vararg_ctx: false }))
|
||||
Ok(unifier.add_ty(TypeEnum::TTuple { ty: tys }))
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -34,18 +34,13 @@ impl<'a> Inferencer<'a> {
|
|||
self.should_have_value(pattern)?;
|
||||
Ok(())
|
||||
}
|
||||
ExprKind::List { elts, .. } | ExprKind::Tuple { 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)?;
|
||||
|
|
@ -212,6 +207,9 @@ impl<'a> Inferencer<'a> {
|
|||
/// This is a workaround preventing the caller from using a variable `alloca`-ed in the body, which
|
||||
/// is freed when the function returns.
|
||||
fn check_return_value_ty(&mut self, ret_ty: Type) -> bool {
|
||||
if cfg!(feature = "no-escape-analysis") {
|
||||
true
|
||||
} else {
|
||||
match &*self.unifier.get_ty_immutable(ret_ty) {
|
||||
TypeEnum::TObj { .. } => [
|
||||
self.primitives.int32,
|
||||
|
|
@ -223,10 +221,11 @@ 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,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// check statements for proper identifier def-use and return on all paths
|
||||
fn check_stmt(
|
||||
|
|
|
|||
|
|
@ -197,7 +197,6 @@ pub fn impl_binop(
|
|||
ty: other_ty,
|
||||
default_value: None,
|
||||
name: "other".into(),
|
||||
is_vararg: false,
|
||||
}],
|
||||
})),
|
||||
false,
|
||||
|
|
@ -262,7 +261,6 @@ pub fn impl_cmpop(
|
|||
ty: other_ty,
|
||||
default_value: None,
|
||||
name: "other".into(),
|
||||
is_vararg: false,
|
||||
}],
|
||||
})),
|
||||
false,
|
||||
|
|
|
|||
|
|
@ -183,10 +183,9 @@ impl<'a> Display for DisplayTypeError<'a> {
|
|||
}
|
||||
result
|
||||
}
|
||||
(
|
||||
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() => {
|
||||
(TypeEnum::TTuple { ty: ty1 }, TypeEnum::TTuple { ty: ty2 })
|
||||
if 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}")
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load Diff
|
|
@ -83,12 +83,7 @@ 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,
|
||||
is_vararg: false,
|
||||
}],
|
||||
args: vec![FuncArg { name: "other".into(), ty: int32, default_value: None }],
|
||||
ret: int32,
|
||||
vars: VarMap::new(),
|
||||
}));
|
||||
|
|
@ -229,12 +224,7 @@ 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,
|
||||
is_vararg: false,
|
||||
}],
|
||||
args: vec![FuncArg { name: "other".into(), ty: int32, default_value: None }],
|
||||
ret: int32,
|
||||
vars: VarMap::new(),
|
||||
}));
|
||||
|
|
|
|||
|
|
@ -1,14 +1,15 @@
|
|||
use indexmap::IndexMap;
|
||||
use itertools::{repeat_n, Itertools};
|
||||
use nac3parser::ast::{Cmpop, Location, StrRef, Unaryop};
|
||||
use itertools::Itertools;
|
||||
use std::cell::RefCell;
|
||||
use std::collections::HashMap;
|
||||
use std::fmt::{self, Display};
|
||||
use std::iter::{repeat, zip};
|
||||
use std::iter::zip;
|
||||
use std::rc::Rc;
|
||||
use std::sync::{Arc, Mutex};
|
||||
use std::{borrow::Cow, collections::HashSet};
|
||||
|
||||
use nac3parser::ast::{Cmpop, Location, StrRef, Unaryop};
|
||||
|
||||
use super::magic_methods::Binop;
|
||||
use super::type_error::{TypeError, TypeErrorKind};
|
||||
use super::unification_table::{UnificationKey, UnificationTable};
|
||||
|
|
@ -114,7 +115,6 @@ pub struct FuncArg {
|
|||
pub name: StrRef,
|
||||
pub ty: Type,
|
||||
pub default_value: Option<SymbolValue>,
|
||||
pub is_vararg: bool,
|
||||
}
|
||||
|
||||
impl FuncArg {
|
||||
|
|
@ -233,12 +233,6 @@ pub enum TypeEnum {
|
|||
TTuple {
|
||||
/// The types of elements present in this tuple.
|
||||
ty: Vec<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.
|
||||
|
|
@ -533,7 +527,7 @@ impl Unifier {
|
|||
TypeEnum::TVirtual { ty } => self.get_instantiations(*ty).map(|ty| {
|
||||
ty.iter().map(|&ty| self.add_ty(TypeEnum::TVirtual { ty })).collect_vec()
|
||||
}),
|
||||
TypeEnum::TTuple { ty, is_vararg_ctx } => {
|
||||
TypeEnum::TTuple { ty } => {
|
||||
let tuples = ty
|
||||
.iter()
|
||||
.map(|ty| self.get_instantiations(*ty).unwrap_or_else(|| vec![*ty]))
|
||||
|
|
@ -543,12 +537,7 @@ impl Unifier {
|
|||
None
|
||||
} else {
|
||||
Some(
|
||||
tuples
|
||||
.into_iter()
|
||||
.map(|ty| {
|
||||
self.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: *is_vararg_ctx })
|
||||
})
|
||||
.collect(),
|
||||
tuples.into_iter().map(|ty| self.add_ty(TypeEnum::TTuple { ty })).collect(),
|
||||
)
|
||||
}
|
||||
}
|
||||
|
|
@ -592,7 +581,7 @@ impl Unifier {
|
|||
TVar { .. } => allowed_typevars.iter().any(|b| self.unification_table.unioned(a, *b)),
|
||||
TCall { .. } => false,
|
||||
TVirtual { ty } => self.is_concrete(*ty, allowed_typevars),
|
||||
TTuple { ty, .. } => ty.iter().all(|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))
|
||||
}
|
||||
|
|
@ -660,7 +649,6 @@ impl Unifier {
|
|||
|
||||
// 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);
|
||||
|
|
@ -749,7 +737,7 @@ impl Unifier {
|
|||
};
|
||||
|
||||
// Check for "too many arguments"
|
||||
if !is_vararg && num_params < posargs.len() {
|
||||
if num_params < posargs.len() {
|
||||
let expected_min_count =
|
||||
signature.args.iter().filter(|param| param.is_required()).count();
|
||||
let expected_max_count = num_params;
|
||||
|
|
@ -782,19 +770,6 @@ impl Unifier {
|
|||
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 (¶m_name, &arg_ty) in kwargs {
|
||||
// We will also use this opportunity to check if this keyword argument is "legal".
|
||||
|
|
@ -984,10 +959,7 @@ 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 {
|
||||
|
|
@ -1084,47 +1056,15 @@ impl Unifier {
|
|||
self.set_a_to_b(a, b);
|
||||
}
|
||||
|
||||
(
|
||||
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) => {
|
||||
(TTuple { ty: ty1 }, TTuple { ty: ty2 }) => {
|
||||
if ty1.len() != ty2.len() {
|
||||
return Self::incompatible_types(a, b);
|
||||
return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
|
||||
}
|
||||
|
||||
for (x, y) in ty1.iter().zip(ty2.iter()) {
|
||||
if self.unify_impl(*x, *y, false).is_err() {
|
||||
return Self::incompatible_types(a, b);
|
||||
return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
self.set_a_to_b(a, b);
|
||||
}
|
||||
(TVar { fields: Some(map), range, .. }, TObj { obj_id, fields, params }) => {
|
||||
|
|
@ -1367,23 +1307,11 @@ impl Unifier {
|
|||
TypeEnum::TLiteral { values, .. } => {
|
||||
format!("const({})", values.iter().map(|v| format!("{v:?}")).join(", "))
|
||||
}
|
||||
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));
|
||||
TypeEnum::TTuple { ty } => {
|
||||
let mut fields =
|
||||
ty.iter().map(|v| self.internal_stringify(*v, obj_to_name, var_to_name, notes));
|
||||
format!("tuple[{}]", fields.join(", "))
|
||||
}
|
||||
}
|
||||
TypeEnum::TVirtual { ty } => {
|
||||
format!(
|
||||
"virtual[{}]",
|
||||
|
|
@ -1407,21 +1335,17 @@ 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)
|
||||
)
|
||||
}
|
||||
|
|
@ -1507,7 +1431,7 @@ impl Unifier {
|
|||
match &*ty {
|
||||
TypeEnum::TRigidVar { .. } | TypeEnum::TLiteral { .. } => None,
|
||||
TypeEnum::TVar { id, .. } => mapping.get(id).copied(),
|
||||
TypeEnum::TTuple { ty, is_vararg_ctx } => {
|
||||
TypeEnum::TTuple { ty } => {
|
||||
let mut new_ty = Cow::from(ty);
|
||||
for (i, t) in ty.iter().enumerate() {
|
||||
if let Some(t1) = self.subst_impl(*t, mapping, cache) {
|
||||
|
|
@ -1515,10 +1439,7 @@ impl Unifier {
|
|||
}
|
||||
}
|
||||
if matches!(new_ty, Cow::Owned(_)) {
|
||||
Some(self.add_ty(TypeEnum::TTuple {
|
||||
ty: new_ty.into_owned(),
|
||||
is_vararg_ctx: *is_vararg_ctx,
|
||||
}))
|
||||
Some(self.add_ty(TypeEnum::TTuple { ty: new_ty.into_owned() }))
|
||||
} else {
|
||||
None
|
||||
}
|
||||
|
|
@ -1678,37 +1599,16 @@ impl Unifier {
|
|||
}
|
||||
}
|
||||
(TVar { range, .. }, _) => self.check_var_compatibility(b, range).or(Err(())),
|
||||
(
|
||||
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 {
|
||||
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 {
|
||||
(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(),
|
||||
is_vararg_ctx: false,
|
||||
}))
|
||||
})))
|
||||
} else {
|
||||
None
|
||||
})
|
||||
Ok(None)
|
||||
}
|
||||
}
|
||||
// TODO(Derppening): #444
|
||||
|
|
|
|||
|
|
@ -28,10 +28,7 @@ impl Unifier {
|
|||
TypeEnum::TVar { fields: Some(map1), .. },
|
||||
TypeEnum::TVar { fields: Some(map2), .. },
|
||||
) => self.map_eq2(map1, map2),
|
||||
(
|
||||
TypeEnum::TTuple { ty: ty1, is_vararg_ctx: false },
|
||||
TypeEnum::TTuple { ty: ty2, is_vararg_ctx: false },
|
||||
) => {
|
||||
(TypeEnum::TTuple { ty: ty1 }, TypeEnum::TTuple { ty: ty2 }) => {
|
||||
ty1.len() == ty2.len()
|
||||
&& ty1.iter().zip(ty2.iter()).all(|(t1, t2)| self.eq(*t1, *t2))
|
||||
}
|
||||
|
|
@ -181,7 +178,7 @@ impl TestEnvironment {
|
|||
ty.push(result.0);
|
||||
s = result.1;
|
||||
}
|
||||
(self.unifier.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: false }), &s[1..])
|
||||
(self.unifier.add_ty(TypeEnum::TTuple { ty }), &s[1..])
|
||||
}
|
||||
"Record" => {
|
||||
let mut s = &typ[end..];
|
||||
|
|
@ -611,7 +608,7 @@ fn test_instantiation() {
|
|||
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], is_vararg_ctx: false });
|
||||
let tuple = env.unifier.add_ty(TypeEnum::TTuple { ty: vec![v, v1, v2] });
|
||||
let v3 = env.unifier.get_fresh_var_with_range(&[tuple, t], None, None).ty;
|
||||
// t = TypeVar('t')
|
||||
// v = TypeVar('v', int, bool)
|
||||
|
|
|
|||
|
|
@ -4,6 +4,9 @@ version = "0.1.0"
|
|||
authors = ["M-Labs"]
|
||||
edition = "2021"
|
||||
|
||||
[features]
|
||||
no-escape-analysis = ["nac3core/no-escape-analysis"]
|
||||
|
||||
[dependencies]
|
||||
parking_lot = "0.12"
|
||||
nac3parser = { path = "../nac3parser" }
|
||||
|
|
|
|||
|
|
@ -3,55 +3,23 @@
|
|||
set -e
|
||||
|
||||
if [ -z "$1" ]; then
|
||||
echo "No argument supplied"
|
||||
echo "Requires at least one argument"
|
||||
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 "### Checking $demo..."
|
||||
|
||||
echo ">>>>>> Running $demo with the Python interpreter"
|
||||
echo -n "Checking $demo... "
|
||||
./interpret_demo.py "$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"
|
||||
|
||||
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
|
||||
rm -f interpreted.log run.log run_lli.log
|
||||
|
|
@ -6,6 +6,8 @@
|
|||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
|
||||
#define usize size_t
|
||||
|
||||
double dbl_nan(void) {
|
||||
return NAN;
|
||||
}
|
||||
|
|
@ -62,14 +64,14 @@ void output_asciiart(int32_t x) {
|
|||
|
||||
struct cslice {
|
||||
void *data;
|
||||
size_t len;
|
||||
usize len;
|
||||
};
|
||||
|
||||
void output_int32_list(struct cslice *slice) {
|
||||
const int32_t *data = (int32_t *) slice->data;
|
||||
|
||||
putchar('[');
|
||||
for (size_t i = 0; i < slice->len; ++i) {
|
||||
for (usize i = 0; i < slice->len; ++i) {
|
||||
if (i == slice->len - 1) {
|
||||
printf("%d", data[i]);
|
||||
} else {
|
||||
|
|
@ -83,7 +85,7 @@ void output_int32_list(struct cslice *slice) {
|
|||
void output_str(struct cslice *slice) {
|
||||
const char *data = (const char *) slice->data;
|
||||
|
||||
for (size_t i = 0; i < slice->len; ++i) {
|
||||
for (usize i = 0; i < slice->len; ++i) {
|
||||
putchar(data[i]);
|
||||
}
|
||||
}
|
||||
|
|
@ -119,11 +121,11 @@ struct Exception {
|
|||
|
||||
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]);
|
||||
printf(" ID: %lld\n", e->id);
|
||||
printf(" Location: %*s:%lld:%lld\n" , e->file.len, (const char*) e->file.data, e->line, e->column);
|
||||
printf(" Function: %*s\n" , e->function.len, (const char*) e->function.data);
|
||||
printf(" Message: \"%*s\"\n" , e->message.len, (const char*) e->message.data);
|
||||
printf(" Params: {0}=%lld, {1}=%lld, {2}=%lld\n", e->param[0], e->param[1], e->param[2]);
|
||||
exit(101);
|
||||
__builtin_unreachable();
|
||||
}
|
||||
|
|
|
|||
|
|
@ -6,7 +6,6 @@ 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
|
||||
|
|
@ -168,7 +167,7 @@ def patch(module):
|
|||
module.ceil64 = _ceil
|
||||
module.np_ceil = np.ceil
|
||||
|
||||
# NumPy NDArray factory functions
|
||||
# NumPy ndarray functions
|
||||
module.ndarray = NDArray
|
||||
module.np_ndarray = np.ndarray
|
||||
module.np_empty = np.empty
|
||||
|
|
@ -218,10 +217,8 @@ 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
|
||||
|
|
@ -229,19 +226,14 @@ def patch(module):
|
|||
module.sp_spec_j0 = special.j0
|
||||
module.sp_spec_j1 = special.j1
|
||||
|
||||
# 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)
|
||||
# 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
|
||||
|
||||
def file_import(filename, prefix="file_import_"):
|
||||
filename = pathlib.Path(filename)
|
||||
|
|
|
|||
|
|
@ -1,114 +0,0 @@
|
|||
# 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"
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
[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]
|
||||
|
|
@ -1,406 +0,0 @@
|
|||
// 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());
|
||||
}
|
||||
|
|
@ -2,9 +2,6 @@
|
|||
|
||||
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
|
||||
|
|
@ -14,19 +11,19 @@ declare -a nac3args
|
|||
while [ $# -ge 1 ]; do
|
||||
case "$1" in
|
||||
--help)
|
||||
echo "Usage: run_demo.sh [--help] [--out OUTFILE] [--debug] [-i686] -- [NAC3ARGS...]"
|
||||
echo "Usage: run_demo.sh [--help] [--out OUTFILE] [--lli] [--debug] -- [NAC3ARGS...]"
|
||||
exit
|
||||
;;
|
||||
--out)
|
||||
shift
|
||||
outfile="$1"
|
||||
;;
|
||||
--lli)
|
||||
use_lli=1
|
||||
;;
|
||||
--debug)
|
||||
debug=1
|
||||
;;
|
||||
-i686)
|
||||
i686=1
|
||||
;;
|
||||
--)
|
||||
shift
|
||||
break
|
||||
|
|
@ -53,19 +50,29 @@ else
|
|||
fi
|
||||
|
||||
rm -f ./*.o ./*.bc demo
|
||||
|
||||
if [ -z "$i686" ]; then
|
||||
if [ -z "$use_lli" ]; then
|
||||
$nac3standalone "${nac3args[@]}"
|
||||
|
||||
clang -c -std=gnu11 -Wall -Wextra -O3 -o demo.o demo.c
|
||||
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 $DEMO_LINALG_STUB32 -lm -Wl,--no-warn-search-mismatch
|
||||
fi
|
||||
clang -lm -o demo module.o demo.o
|
||||
|
||||
if [ -z "$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
|
||||
|
|
|
|||
|
|
@ -1,66 +0,0 @@
|
|||
@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
|
||||
|
|
@ -1429,142 +1429,6 @@ 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()
|
||||
|
|
@ -1743,18 +1607,5 @@ 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
|
||||
|
|
|
|||
|
|
@ -1,11 +0,0 @@
|
|||
def f(*args: int32):
|
||||
pass
|
||||
|
||||
|
||||
def run() -> int32:
|
||||
f()
|
||||
f(1)
|
||||
f(1, 2)
|
||||
f(1, 2, 3)
|
||||
|
||||
return 0
|
||||
|
|
@ -9,11 +9,15 @@
|
|||
#![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,
|
||||
|
|
@ -35,10 +39,6 @@ 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::*;
|
||||
|
|
@ -241,6 +241,8 @@ 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;
|
||||
|
|
@ -273,24 +275,6 @@ 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) => {
|
||||
|
|
@ -299,9 +283,9 @@ 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(),
|
||||
|
|
@ -389,7 +373,16 @@ fn main() {
|
|||
instance_to_stmt[""].clone()
|
||||
};
|
||||
|
||||
let llvm_options = CodeGenLLVMOptions { opt_level, target: target_machine_options };
|
||||
let llvm_options = CodeGenLLVMOptions {
|
||||
opt_level,
|
||||
target: CodeGenTargetMachineOptions {
|
||||
triple,
|
||||
cpu: mcpu,
|
||||
features: target_features,
|
||||
reloc_mode: RelocMode::PIC,
|
||||
..host_target_machine
|
||||
},
|
||||
};
|
||||
|
||||
let task = CodeGenTask {
|
||||
subst: Vec::default(),
|
||||
|
|
@ -412,7 +405,7 @@ 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);
|
||||
|
|
|
|||
Loading…
Reference in New Issue