flake: update dependencies

[core] codegen/stmt: Fix obtaining return type of sret functions
[core] codegen/stmt: Add more casts for boolean types
2024-08-30 14:45:38 +08:00 · 2024-08-29 19:15:30 +08:00 · 2024-08-29 16:36:32 +08:00 · 2024-08-29 16:36:32 +08:00 · 2024-08-29 16:08:45 +08:00 · 2024-08-29 14:32:21 +08:00
75 changed files with 7060 additions and 2161 deletions
--- a/.clang-format
+++ b/.clang-format
@ -0,0 +1,32 @@
+BasedOnStyle: LLVM
+
+Language: Cpp
+Standard: Cpp11
+
+AccessModifierOffset: -1
+AlignEscapedNewlines: Left
+AlwaysBreakAfterReturnType: None
+AlwaysBreakTemplateDeclarations: Yes
+AllowAllParametersOfDeclarationOnNextLine: false
+AllowShortFunctionsOnASingleLine: Inline
+BinPackParameters: false
+BreakBeforeBinaryOperators: NonAssignment
+BreakBeforeTernaryOperators: true
+BreakConstructorInitializers: AfterColon
+BreakInheritanceList: AfterColon
+ColumnLimit: 120
+ConstructorInitializerAllOnOneLineOrOnePerLine: true
+ContinuationIndentWidth: 4
+DerivePointerAlignment: false
+IndentCaseLabels: true
+IndentPPDirectives: None
+IndentWidth: 4
+MaxEmptyLinesToKeep: 1
+PointerAlignment: Left
+ReflowComments: true
+SortIncludes: false
+SortUsingDeclarations: true
+SpaceAfterTemplateKeyword: false
+SpacesBeforeTrailingComments: 2
+TabWidth: 4
+UseTab: Never
--- a/.gitignore
+++ b/.gitignore
@ -1,3 +1,4 @@
 __pycache__
 /target
+/nac3standalone/demo/linalg/target
 nix/windows/msys2
--- a/Cargo.lock
+++ b/Cargo.lock
@ -26,9 +26,9 @@ dependencies = [

 [[package]]
 name = "anstream"
-version = "0.6.14"
+version = "0.6.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "418c75fa768af9c03be99d17643f93f79bbba589895012a80e3452a19ddda15b"
+checksum = "64e15c1ab1f89faffbf04a634d5e1962e9074f2741eef6d97f3c4e322426d526"
 dependencies = [
 "anstyle",
 "anstyle-parse",
@ -41,36 +41,36 @@ dependencies = [

 [[package]]
 name = "anstyle"
-version = "1.0.7"
+version = "1.0.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "038dfcf04a5feb68e9c60b21c9625a54c2c0616e79b72b0fd87075a056ae1d1b"
+checksum = "1bec1de6f59aedf83baf9ff929c98f2ad654b97c9510f4e70cf6f661d49fd5b1"

 [[package]]
 name = "anstyle-parse"
-version = "0.2.4"
+version = "0.2.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c03a11a9034d92058ceb6ee011ce58af4a9bf61491aa7e1e59ecd24bd40d22d4"
+checksum = "eb47de1e80c2b463c735db5b217a0ddc39d612e7ac9e2e96a5aed1f57616c1cb"
 dependencies = [
 "utf8parse",
 ]

 [[package]]
 name = "anstyle-query"
-version = "1.1.0"
+version = "1.1.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ad186efb764318d35165f1758e7dcef3b10628e26d41a44bc5550652e6804391"
+checksum = "6d36fc52c7f6c869915e99412912f22093507da8d9e942ceaf66fe4b7c14422a"
 dependencies = [
- "windows-sys",
+ "windows-sys 0.52.0",
 ]

 [[package]]
 name = "anstyle-wincon"
-version = "3.0.3"
+version = "3.0.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "61a38449feb7068f52bb06c12759005cf459ee52bb4adc1d5a7c4322d716fb19"
+checksum = "5bf74e1b6e971609db8ca7a9ce79fd5768ab6ae46441c572e46cf596f59e57f8"
 dependencies = [
 "anstyle",
- "windows-sys",
+ "windows-sys 0.52.0",
 ]

 [[package]]
@ -117,9 +117,12 @@ checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"

 [[package]]
 name = "cc"
-version = "1.1.6"
+version = "1.1.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2aba8f4e9906c7ce3c73463f62a7f0c65183ada1a2d47e397cc8810827f9694f"
+checksum = "57b6a275aa2903740dc87da01c62040406b8812552e97129a63ea8850a17c6e6"
+dependencies = [
+ "shlex",
+]

 [[package]]
 name = "cfg-if"
@ -129,9 +132,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"

 [[package]]
 name = "clap"
-version = "4.5.9"
+version = "4.5.16"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "64acc1846d54c1fe936a78dc189c34e28d3f5afc348403f28ecf53660b9b8462"
+checksum = "ed6719fffa43d0d87e5fd8caeab59be1554fb028cd30edc88fc4369b17971019"
 dependencies = [
 "clap_builder",
 "clap_derive",
@ -139,9 +142,9 @@ dependencies = [

 [[package]]
 name = "clap_builder"
-version = "4.5.9"
+version = "4.5.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6fb8393d67ba2e7bfaf28a23458e4e2b543cc73a99595511eb207fdb8aede942"
+checksum = "216aec2b177652e3846684cbfe25c9964d18ec45234f0f5da5157b207ed1aab6"
 dependencies = [
 "anstream",
 "anstyle",
@ -151,27 +154,27 @@ dependencies = [

 [[package]]
 name = "clap_derive"
-version = "4.5.8"
+version = "4.5.13"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2bac35c6dafb060fd4d275d9a4ffae97917c13a6327903a8be2153cd964f7085"
+checksum = "501d359d5f3dcaf6ecdeee48833ae73ec6e42723a1e52419c79abf9507eec0a0"
 dependencies = [
 "heck 0.5.0",
 "proc-macro2",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
 name = "clap_lex"
-version = "0.7.1"
+version = "0.7.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4b82cf0babdbd58558212896d1a4272303a57bdb245c2bf1147185fb45640e70"
+checksum = "1462739cb27611015575c0c11df5df7601141071f07518d56fcc1be504cbec97"

 [[package]]
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-version = "1.0.1"
+version = "1.0.2"
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-checksum = "0b6a852b24ab71dffc585bcb46eaf7959d175cb865a7152e35b348d1b2960422"
+checksum = "d3fd119d74b830634cea2a0f58bbd0d54540518a14397557951e79340abc28c0"

 [[package]]
 name = "console"
@ -182,7 +185,7 @@ dependencies = [
 "encode_unicode",
 "lazy_static",
 "libc",
- "windows-sys",
+ "windows-sys 0.52.0",
 ]

 [[package]]
@ -302,14 +305,14 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "534c5cf6194dfab3db3242765c03bbe257cf92f22b38f6bc0c58d59108a820ba"
 dependencies = [
 "libc",
- "windows-sys",
+ "windows-sys 0.52.0",
 ]

 [[package]]
 name = "fastrand"
-version = "2.1.0"
+version = "2.1.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9fc0510504f03c51ada170672ac806f1f105a88aa97a5281117e1ddc3368e51a"
+checksum = "e8c02a5121d4ea3eb16a80748c74f5549a5665e4c21333c6098f283870fbdea6"

 [[package]]
 name = "fixedbitset"
@ -385,9 +388,9 @@ dependencies = [

 [[package]]
 name = "indexmap"
-version = "2.2.6"
+version = "2.4.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "168fb715dda47215e360912c096649d23d58bf392ac62f73919e831745e40f26"
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 dependencies = [
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@ -421,7 +424,7 @@ checksum = "4fa4d8d74483041a882adaa9a29f633253a66dde85055f0495c121620ac484b2"
 dependencies = [
 "proc-macro2",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
@ -440,9 +443,9 @@ dependencies = [

 [[package]]
 name = "is_terminal_polyfill"
-version = "1.70.0"
+version = "1.70.1"
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+checksum = "7943c866cc5cd64cbc25b2e01621d07fa8eb2a1a23160ee81ce38704e97b8ecf"

 [[package]]
 name = "itertools"
@ -507,9 +510,9 @@ checksum = "bbd2bcb4c963f2ddae06a2efc7e9f3591312473c50c6685e1f298068316e66fe"

 [[package]]
 name = "libc"
-version = "0.2.155"
+version = "0.2.158"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "97b3888a4aecf77e811145cadf6eef5901f4782c53886191b2f693f24761847c"
+checksum = "d8adc4bb1803a324070e64a98ae98f38934d91957a99cfb3a43dcbc01bc56439"

 [[package]]
 name = "libloading"
@ -616,7 +619,7 @@ name = "nac3core"
 version = "0.1.0"
 dependencies = [
 "crossbeam",
- "indexmap 2.2.6",
+ "indexmap 2.4.0",
 "indoc",
 "inkwell",
 "insta",
@ -706,7 +709,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "b4c5cc86750666a3ed20bdaf5ca2a0344f9c67674cae0515bec2da16fbaa47db"
 dependencies = [
 "fixedbitset",
- "indexmap 2.2.6",
+ "indexmap 2.4.0",
 ]

 [[package]]
@ -749,7 +752,7 @@ dependencies = [
 "phf_shared 0.11.2",
 "proc-macro2",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
@ -784,9 +787,12 @@ checksum = "da544ee218f0d287a911e9c99a39a8c9bc8fcad3cb8db5959940044ecfc67265"

 [[package]]
 name = "ppv-lite86"
-version = "0.2.17"
+version = "0.2.20"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5b40af805b3121feab8a3c29f04d8ad262fa8e0561883e7653e024ae4479e6de"
+checksum = "77957b295656769bb8ad2b6a6b09d897d94f05c41b069aede1fcdaa675eaea04"
+dependencies = [
+ "zerocopy",
+]

 [[package]]
 name = "precomputed-hash"
@ -850,7 +856,7 @@ dependencies = [
 "proc-macro2",
 "pyo3-macros-backend",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
@ -863,14 +869,14 @@ dependencies = [
 "proc-macro2",
 "pyo3-build-config",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
 name = "quote"
-version = "1.0.36"
+version = "1.0.37"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0fa76aaf39101c457836aec0ce2316dbdc3ab723cdda1c6bd4e6ad4208acaca7"
+checksum = "b5b9d34b8991d19d98081b46eacdd8eb58c6f2b201139f7c5f643cc155a633af"
 dependencies = [
 "proc-macro2",
 ]
@ -936,9 +942,9 @@ dependencies = [

 [[package]]
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-version = "0.4.5"
+version = "0.4.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bd283d9651eeda4b2a83a43c1c91b266c40fd76ecd39a50a8c630ae69dc72891"
+checksum = "ba009ff324d1fc1b900bd1fdb31564febe58a8ccc8a6fdbb93b543d33b13ca43"
 dependencies = [
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 "libredox",
@ -947,9 +953,9 @@ dependencies = [

 [[package]]
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-version = "1.10.5"
+version = "1.10.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b91213439dad192326a0d7c6ee3955910425f441d7038e0d6933b0aec5c4517f"
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 dependencies = [
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 "memchr",
@ -983,15 +989,15 @@ dependencies = [

 [[package]]
 name = "rustix"
-version = "0.38.34"
+version = "0.38.35"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "70dc5ec042f7a43c4a73241207cecc9873a06d45debb38b329f8541d85c2730f"
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 dependencies = [
 "bitflags",
 "errno",
 "libc",
 "linux-raw-sys",
- "windows-sys",
+ "windows-sys 0.52.0",
 ]

 [[package]]
@ -1029,31 +1035,32 @@ checksum = "61697e0a1c7e512e84a621326239844a24d8207b4669b41bc18b32ea5cbf988b"

 [[package]]
 name = "serde"
-version = "1.0.204"
+version = "1.0.209"
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-checksum = "bc76f558e0cbb2a839d37354c575f1dc3fdc6546b5be373ba43d95f231bf7c12"
+checksum = "99fce0ffe7310761ca6bf9faf5115afbc19688edd00171d81b1bb1b116c63e09"
 dependencies = [
 "serde_derive",
 ]

 [[package]]
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-version = "1.0.204"
+version = "1.0.209"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e0cd7e117be63d3c3678776753929474f3b04a43a080c744d6b0ae2a8c28e222"
+checksum = "a5831b979fd7b5439637af1752d535ff49f4860c0f341d1baeb6faf0f4242170"
 dependencies = [
 "proc-macro2",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
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-version = "1.0.120"
+version = "1.0.127"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4e0d21c9a8cae1235ad58a00c11cb40d4b1e5c784f1ef2c537876ed6ffd8b7c5"
+checksum = "8043c06d9f82bd7271361ed64f415fe5e12a77fdb52e573e7f06a516dea329ad"
 dependencies = [
 "itoa",
+ "memchr",
 "ryu",
 "serde",
 ]
@ -1071,10 +1078,16 @@ dependencies = [
 ]

 [[package]]
-name = "similar"
-version = "2.5.0"
+name = "shlex"
+version = "1.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fa42c91313f1d05da9b26f267f931cf178d4aba455b4c4622dd7355eb80c6640"
+checksum = "0fda2ff0d084019ba4d7c6f371c95d8fd75ce3524c3cb8fb653a3023f6323e64"
+
+[[package]]
+name = "similar"
+version = "2.6.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1de1d4f81173b03af4c0cbed3c898f6bff5b870e4a7f5d6f4057d62a7a4b686e"

 [[package]]
 name = "siphasher"
@ -1134,7 +1147,7 @@ dependencies = [
 "proc-macro2",
 "quote",
 "rustversion",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
@ -1150,9 +1163,9 @@ dependencies = [

 [[package]]
 name = "syn"
-version = "2.0.71"
+version = "2.0.76"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b146dcf730474b4bcd16c311627b31ede9ab149045db4d6088b3becaea046462"
+checksum = "578e081a14e0cefc3279b0472138c513f37b41a08d5a3cca9b6e4e8ceb6cd525"
 dependencies = [
 "proc-macro2",
 "quote",
@ -1161,20 +1174,21 @@ dependencies = [

 [[package]]
 name = "target-lexicon"
-version = "0.12.15"
+version = "0.12.16"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4873307b7c257eddcb50c9bedf158eb669578359fb28428bef438fec8e6ba7c2"
+checksum = "61c41af27dd6d1e27b1b16b489db798443478cef1f06a660c96db617ba5de3b1"

 [[package]]
 name = "tempfile"
-version = "3.10.1"
+version = "3.12.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "85b77fafb263dd9d05cbeac119526425676db3784113aa9295c88498cbf8bff1"
+checksum = "04cbcdd0c794ebb0d4cf35e88edd2f7d2c4c3e9a5a6dab322839b321c6a87a64"
 dependencies = [
 "cfg-if",
 "fastrand",
+ "once_cell",
 "rustix",
- "windows-sys",
+ "windows-sys 0.59.0",
 ]

 [[package]]
@ -1218,7 +1232,7 @@ checksum = "a4558b58466b9ad7ca0f102865eccc95938dca1a74a856f2b57b6629050da261"
 dependencies = [
 "proc-macro2",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]

 [[package]]
@ -1296,9 +1310,9 @@ checksum = "0336d538f7abc86d282a4189614dfaa90810dfc2c6f6427eaf88e16311dd225d"

 [[package]]
 name = "unicode-xid"
-version = "0.2.4"
+version = "0.2.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f962df74c8c05a667b5ee8bcf162993134c104e96440b663c8daa176dc772d8c"
+checksum = "229730647fbc343e3a80e463c1db7f78f3855d3f3739bee0dda773c9a037c90a"

 [[package]]
 name = "unicode_names2"
@ -1336,9 +1350,9 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"

 [[package]]
 name = "version_check"
-version = "0.9.4"
+version = "0.9.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "49874b5167b65d7193b8aba1567f5c7d93d001cafc34600cee003eda787e483f"
+checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a"

 [[package]]
 name = "walkdir"
@ -1374,11 +1388,11 @@ checksum = "ac3b87c63620426dd9b991e5ce0329eff545bccbbb34f3be09ff6fb6ab51b7b6"

 [[package]]
 name = "winapi-util"
-version = "0.1.8"
+version = "0.1.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4d4cc384e1e73b93bafa6fb4f1df8c41695c8a91cf9c4c64358067d15a7b6c6b"
+checksum = "cf221c93e13a30d793f7645a0e7762c55d169dbb0a49671918a2319d289b10bb"
 dependencies = [
- "windows-sys",
+ "windows-sys 0.59.0",
 ]

 [[package]]
@ -1396,6 +1410,15 @@ 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"
@ -1475,6 +1498,7 @@ version = "0.7.35"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
 dependencies = [
+ "byteorder",
 "zerocopy-derive",
 ]

@ -1486,5 +1510,5 @@ checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
 dependencies = [
 "proc-macro2",
 "quote",
- "syn 2.0.71",
+ "syn 2.0.76",
 ]
--- a/flake.lock
+++ b/flake.lock
@ -2,11 +2,11 @@
  "nodes": {
    "nixpkgs": {
      "locked": {
-        "lastModified": 1720418205,
-        "narHash": "sha256-cPJoFPXU44GlhWg4pUk9oUPqurPlCFZ11ZQPk21GTPU=",
+        "lastModified": 1724819573,
+        "narHash": "sha256-GnR7/ibgIH1vhoy8cYdmXE6iyZqKqFxQSVkFgosBh6w=",
        "owner": "NixOS",
        "repo": "nixpkgs",
-        "rev": "655a58a72a6601292512670343087c2d75d859c1",
+        "rev": "71e91c409d1e654808b2621f28a327acfdad8dc2",
        "type": "github"
      },
      "original": {
--- a/flake.nix
+++ b/flake.nix
@ -6,6 +6,7 @@
  outputs = { self, nixpkgs }:
    let
      pkgs = import nixpkgs { system = "x86_64-linux"; };
+      pkgs32 = import nixpkgs { system = "i686-linux"; };
    in rec {
      packages.x86_64-linux = rec {
        llvm-nac3 = pkgs.callPackage ./nix/llvm {};
@ -15,6 +16,22 @@
          ln -s ${pkgs.llvmPackages_14.clang-unwrapped}/bin/clang $out/bin/clang-irrt
          ln -s ${pkgs.llvmPackages_14.llvm.out}/bin/llvm-as $out/bin/llvm-as-irrt
          '';
+        demo-linalg-stub = pkgs.rustPlatform.buildRustPackage {
+          name = "demo-linalg-stub";
+          src = ./nac3standalone/demo/linalg;
+          cargoLock = {
+            lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
+          };
+          doCheck = false;
+        };
+        demo-linalg-stub32 = pkgs32.rustPlatform.buildRustPackage {
+          name = "demo-linalg-stub32";
+          src = ./nac3standalone/demo/linalg;
+          cargoLock = {
+            lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
+          };
+          doCheck = false;
+        };
        nac3artiq = pkgs.python3Packages.toPythonModule (
          pkgs.rustPlatform.buildRustPackage rec {
            name = "nac3artiq";
@ -24,7 +41,7 @@
              lockFile = ./Cargo.lock;
            };
            passthru.cargoLock = cargoLock;
-            nativeBuildInputs = [ pkgs.python3 pkgs.llvmPackages_14.clang llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
+            nativeBuildInputs = [ pkgs.python3 (pkgs.wrapClangMulti pkgs.llvmPackages_14.clang) llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
            buildInputs = [ pkgs.python3 llvm-nac3 ];
            checkInputs = [ (pkgs.python3.withPackages(ps: [ ps.numpy ps.scipy ])) ];
            checkPhase =
@ -32,7 +49,9 @@
              echo "Checking nac3standalone demos..."
              pushd nac3standalone/demo
              patchShebangs .
-              ./check_demos.sh
+              export DEMO_LINALG_STUB=${demo-linalg-stub}/lib/liblinalg.a
+              export DEMO_LINALG_STUB32=${demo-linalg-stub32}/lib/liblinalg.a
+              ./check_demos.sh -i686
              popd
              echo "Running Cargo tests..."
              cargoCheckHook
@ -149,7 +168,7 @@
        buildInputs = with pkgs; [
          # build dependencies
          packages.x86_64-linux.llvm-nac3
-          llvmPackages_14.clang llvmPackages_14.llvm.out  # for running nac3standalone demos
+          (pkgs.wrapClangMulti llvmPackages_14.clang) llvmPackages_14.llvm.out  # for running nac3standalone demos
          packages.x86_64-linux.llvm-tools-irrt
          cargo
          rustc
@ -161,9 +180,12 @@
          clippy
          pre-commit
          rustfmt
-          rust-analyzer
        ];
-        RUST_SRC_PATH = "${pkgs.rust.packages.stable.rustPlatform.rustLibSrc}";
+        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";
--- a/nac3artiq/Cargo.toml
+++ b/nac3artiq/Cargo.toml
@ -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"]
--- a/nac3artiq/demo/str_abi.py
+++ b/nac3artiq/demo/str_abi.py
@ -0,0 +1,26 @@
+from min_artiq import *
+from numpy import ndarray, zeros as np_zeros
+
+
+@nac3
+class StrFail:
+    core: KernelInvariant[Core]
+
+    def __init__(self):
+        self.core = Core()
+
+    @kernel
+    def hello(self, arg: str):
+        pass
+
+    @kernel
+    def consume_ndarray(self, arg: ndarray[str, 1]):
+        pass
+
+    def run(self):
+        self.hello("world")
+        self.consume_ndarray(np_zeros([10], dtype=str))
+
+
+if __name__ == "__main__":
+    StrFail().run()
--- a/nac3artiq/src/codegen.rs
+++ b/nac3artiq/src/codegen.rs
--- a/nac3artiq/src/lib.rs
+++ b/nac3artiq/src/lib.rs
@ -24,6 +24,7 @@ use std::rc::Rc;
 use std::sync::Arc;

 use inkwell::{
+    context::Context,
    memory_buffer::MemoryBuffer,
    module::{Linkage, Module},
    passes::PassBuilderOptions,
@ -34,7 +35,7 @@ use inkwell::{
 use itertools::Itertools;
 use nac3core::codegen::{gen_func_impl, CodeGenLLVMOptions, CodeGenTargetMachineOptions};
 use nac3core::toplevel::builtins::get_exn_constructor;
-use nac3core::typecheck::typedef::{TypeEnum, Unifier, VarMap};
+use nac3core::typecheck::typedef::{into_var_map, TypeEnum, Unifier, VarMap};
 use nac3parser::{
    ast::{ExprKind, Stmt, StmtKind, StrRef},
    parser::parse_program,
@ -50,7 +51,7 @@ use nac3core::{
    codegen::{concrete_type::ConcreteTypeStore, CodeGenTask, WithCall, WorkerRegistry},
    symbol_resolver::SymbolResolver,
    toplevel::{
-        composer::{ComposerConfig, TopLevelComposer},
+        composer::{BuiltinFuncCreator, BuiltinFuncSpec, ComposerConfig, TopLevelComposer},
        DefinitionId, GenCall, TopLevelDef,
    },
    typecheck::typedef::{FunSignature, FuncArg},
@ -59,13 +60,13 @@ use nac3core::{

 use nac3ld::Linker;

-use tempfile::{self, TempDir};
-
-use crate::codegen::attributes_writeback;
 use crate::{
-    codegen::{rpc_codegen_callback, ArtiqCodeGenerator},
+    codegen::{
+        attributes_writeback, gen_core_log, gen_rtio_log, rpc_codegen_callback, ArtiqCodeGenerator,
+    },
    symbol_resolver::{DeferredEvaluationStore, InnerResolver, PythonHelper, Resolver},
 };
+use tempfile::{self, TempDir};

 mod codegen;
 mod symbol_resolver;
@ -126,7 +127,7 @@ struct Nac3 {
    isa: Isa,
    time_fns: &'static (dyn TimeFns + Sync),
    primitive: PrimitiveStore,
-    builtins: Vec<(StrRef, FunSignature, Arc<GenCall>)>,
+    builtins: Vec<BuiltinFuncSpec>,
    pyid_to_def: Arc<RwLock<HashMap<u64, DefinitionId>>>,
    primitive_ids: PrimitivePythonId,
    working_directory: TempDir,
@ -264,7 +265,7 @@ impl Nac3 {
                    arg_names.len(),
                ));
            }
-            for (i, FuncArg { ty, default_value, name }) in args.iter().enumerate() {
+            for (i, FuncArg { ty, default_value, name, .. }) in args.iter().enumerate() {
                let in_name = match arg_names.get(i) {
                    Some(n) => n,
                    None if default_value.is_none() => {
@ -300,6 +301,64 @@ impl Nac3 {
        None
    }

+    /// Returns a [`Vec`] of builtins that needs to be initialized during method compilation time.
+    fn get_lateinit_builtins() -> Vec<Box<BuiltinFuncCreator>> {
+        vec![
+            Box::new(|primitives, unifier| {
+                let arg_ty = unifier.get_fresh_var(Some("T".into()), None);
+
+                (
+                    "core_log".into(),
+                    FunSignature {
+                        args: vec![FuncArg {
+                            name: "arg".into(),
+                            ty: arg_ty.ty,
+                            default_value: None,
+                            is_vararg: false,
+                        }],
+                        ret: primitives.none,
+                        vars: into_var_map([arg_ty]),
+                    },
+                    Arc::new(GenCall::new(Box::new(move |ctx, obj, fun, args, generator| {
+                        gen_core_log(ctx, &obj, fun, &args, generator)?;
+
+                        Ok(None)
+                    }))),
+                )
+            }),
+            Box::new(|primitives, unifier| {
+                let arg_ty = unifier.get_fresh_var(Some("T".into()), None);
+
+                (
+                    "rtio_log".into(),
+                    FunSignature {
+                        args: vec![
+                            FuncArg {
+                                name: "channel".into(),
+                                ty: primitives.str,
+                                default_value: None,
+                                is_vararg: false,
+                            },
+                            FuncArg {
+                                name: "arg".into(),
+                                ty: arg_ty.ty,
+                                default_value: None,
+                                is_vararg: false,
+                            },
+                        ],
+                        ret: primitives.none,
+                        vars: into_var_map([arg_ty]),
+                    },
+                    Arc::new(GenCall::new(Box::new(move |ctx, obj, fun, args, generator| {
+                        gen_rtio_log(ctx, &obj, fun, &args, generator)?;
+
+                        Ok(None)
+                    }))),
+                )
+            }),
+        ]
+    }
+
    fn compile_method<T>(
        &self,
        obj: &PyAny,
@ -312,6 +371,7 @@ impl Nac3 {
        let size_t = self.isa.get_size_type();
        let (mut composer, mut builtins_def, mut builtins_ty) = TopLevelComposer::new(
            self.builtins.clone(),
+            Self::get_lateinit_builtins(),
            ComposerConfig { kernel_ann: Some("Kernel"), kernel_invariant_ann: "KernelInvariant" },
            size_t,
        );
@ -388,7 +448,6 @@ impl Nac3 {
                        pyid_to_type: pyid_to_type.clone(),
                        primitive_ids: self.primitive_ids.clone(),
                        global_value_ids: global_value_ids.clone(),
-                        class_names: Mutex::default(),
                        name_to_pyid: name_to_pyid.clone(),
                        module: module.clone(),
                        id_to_pyval: RwLock::default(),
@ -480,7 +539,6 @@ impl Nac3 {
            pyid_to_type: pyid_to_type.clone(),
            primitive_ids: self.primitive_ids.clone(),
            global_value_ids: global_value_ids.clone(),
-            class_names: Mutex::default(),
            id_to_pyval: RwLock::default(),
            id_to_primitive: RwLock::default(),
            field_to_val: RwLock::default(),
@ -497,6 +555,10 @@ impl Nac3 {
            .register_top_level(synthesized.pop().unwrap(), Some(resolver.clone()), "", false)
            .unwrap();

+        // Process IRRT
+        let context = inkwell::context::Context::create();
+        let irrt = load_irrt(&context, resolver.as_ref());
+
        let fun_signature =
            FunSignature { args: vec![], ret: self.primitive.none, vars: VarMap::new() };
        let mut store = ConcreteTypeStore::new();
@ -625,7 +687,9 @@ impl Nac3 {
            let buffer = buffer.as_slice().into();
            membuffer.lock().push(buffer);
        })));
-        let size_t = if self.isa == Isa::Host { 64 } else { 32 };
+        let size_t = Context::create()
+            .ptr_sized_int_type(&self.get_llvm_target_machine().get_target_data(), None)
+            .get_bit_width();
        let num_threads = if is_multithreaded() { 4 } else { 1 };
        let thread_names: Vec<String> = (0..num_threads).map(|_| "main".to_string()).collect();
        let threads: Vec<_> = thread_names
@ -644,6 +708,9 @@ impl Nac3 {
                ArtiqCodeGenerator::new("attributes_writeback".to_string(), size_t, self.time_fns);
            let context = inkwell::context::Context::create();
            let module = context.create_module("attributes_writeback");
+            let target_machine = self.llvm_options.create_target_machine().unwrap();
+            module.set_data_layout(&target_machine.get_target_data().get_data_layout());
+            module.set_triple(&target_machine.get_triple());
            let builder = context.create_builder();
            let (_, module, _) = gen_func_impl(
                &context,
@ -662,7 +729,7 @@ impl Nac3 {
            membuffer.lock().push(buffer);
        });

-        let context = inkwell::context::Context::create();
+        // Link all modules into `main`.
        let buffers = membuffers.lock();
        let main = context
            .create_module_from_ir(MemoryBuffer::create_from_memory_range(&buffers[0], "main"))
@ -691,8 +758,7 @@ impl Nac3 {
            )
            .unwrap();

-        main.link_in_module(load_irrt(&context))
-            .map_err(|err| CompileError::new_err(err.to_string()))?;
+        main.link_in_module(irrt).map_err(|err| CompileError::new_err(err.to_string()))?;

        let mut function_iter = main.get_first_function();
        while let Some(func) = function_iter {
@ -847,7 +913,7 @@ impl Nac3 {
            Isa::RiscV32IMA => &timeline::NOW_PINNING_TIME_FNS,
            Isa::CortexA9 | Isa::Host => &timeline::EXTERN_TIME_FNS,
        };
-        let primitive: PrimitiveStore = TopLevelComposer::make_primitives(isa.get_size_type()).0;
+        let (primitive, _) = TopLevelComposer::make_primitives(isa.get_size_type());
        let builtins = vec![
            (
                "now_mu".into(),
@ -863,6 +929,7 @@ impl Nac3 {
                        name: "t".into(),
                        ty: primitive.int64,
                        default_value: None,
+                        is_vararg: false,
                    }],
                    ret: primitive.none,
                    vars: VarMap::new(),
@ -882,6 +949,7 @@ impl Nac3 {
                        name: "dt".into(),
                        ty: primitive.int64,
                        default_value: None,
+                        is_vararg: false,
                    }],
                    ret: primitive.none,
                    vars: VarMap::new(),
--- a/nac3artiq/src/symbol_resolver.rs
+++ b/nac3artiq/src/symbol_resolver.rs
@ -1,4 +1,6 @@
+use crate::PrimitivePythonId;
 use inkwell::{
+    module::Linkage,
    types::{BasicType, BasicTypeEnum},
    values::BasicValueEnum,
    AddressSpace,
@ -21,7 +23,7 @@ use nac3core::{
    },
 };
 use nac3parser::ast::{self, StrRef};
-use parking_lot::{Mutex, RwLock};
+use parking_lot::RwLock;
 use pyo3::{
    types::{PyDict, PyTuple},
    PyAny, PyObject, PyResult, Python,
@ -34,8 +36,6 @@ use std::{
    },
 };

-use crate::PrimitivePythonId;
-
 pub enum PrimitiveValue {
    I32(i32),
    I64(i64),
@ -79,7 +79,6 @@ pub struct InnerResolver {
    pub id_to_primitive: RwLock<HashMap<u64, PrimitiveValue>>,
    pub field_to_val: RwLock<HashMap<ResolverField, Option<PyFieldHandle>>>,
    pub global_value_ids: Arc<RwLock<HashMap<u64, PyObject>>>,
-    pub class_names: Mutex<HashMap<StrRef, Type>>,
    pub pyid_to_def: Arc<RwLock<HashMap<u64, DefinitionId>>>,
    pub pyid_to_type: Arc<RwLock<HashMap<u64, Type>>>,
    pub primitive_ids: PrimitivePythonId,
@ -133,6 +132,8 @@ impl StaticValue for PythonValue {
                        format!("{}_const", self.id).as_str(),
                    );
                    global.set_constant(true);
+                    // Set linkage of global to private to avoid name collisions
+                    global.set_linkage(Linkage::Private);
                    global.set_initializer(&ctx.ctx.const_struct(
                        &[ctx.ctx.i32_type().const_int(u64::from(id), false).into()],
                        false,
@ -163,7 +164,7 @@ impl StaticValue for PythonValue {
                PrimitiveValue::Bool(val) => {
                    ctx.ctx.i8_type().const_int(u64::from(*val), false).into()
                }
-                PrimitiveValue::Str(val) => ctx.ctx.const_string(val.as_bytes(), true).into(),
+                PrimitiveValue::Str(val) => ctx.gen_string(generator, val).into(),
            });
        }
        if let Some(global) = ctx.module.get_global(&self.id.to_string()) {
@ -351,7 +352,7 @@ impl InnerResolver {
            Ok(Ok((ndarray, false)))
        } else if ty_id == self.primitive_ids.tuple {
            // do not handle type var param and concrete check here
-            Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![] }), false)))
+            Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![], is_vararg_ctx: false }), false)))
        } else if ty_id == self.primitive_ids.option {
            Ok(Ok((primitives.option, false)))
        } else if ty_id == self.primitive_ids.none {
@ -555,7 +556,10 @@ impl InnerResolver {
                            Err(err) => return Ok(Err(err)),
                            _ => return Ok(Err("tuple type needs at least 1 type parameters".to_string()))
                        };
-                    Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: args }), true)))
+                    Ok(Ok((
+                        unifier.add_ty(TypeEnum::TTuple { ty: args, is_vararg_ctx: false }),
+                        true,
+                    )))
                }
                TypeEnum::TObj { params, obj_id, .. } => {
                    let subst = {
@ -797,7 +801,9 @@ impl InnerResolver {
                    .map(|elem| self.get_obj_type(py, elem, unifier, defs, primitives))
                    .collect();
                let types = types?;
-                Ok(types.map(|types| unifier.add_ty(TypeEnum::TTuple { ty: types })))
+                Ok(types.map(|types| {
+                    unifier.add_ty(TypeEnum::TTuple { ty: types, is_vararg_ctx: false })
+                }))
            }
            // special handling for option type since its class member layout in python side
            // is special and cannot be mapped directly to a nac3 type as below
@ -972,7 +978,7 @@ impl InnerResolver {
        } else if ty_id == self.primitive_ids.string || ty_id == self.primitive_ids.np_str_ {
            let val: String = obj.extract().unwrap();
            self.id_to_primitive.write().insert(id, PrimitiveValue::Str(val.clone()));
-            Ok(Some(ctx.ctx.const_string(val.as_bytes(), true).into()))
+            Ok(Some(ctx.gen_string(generator, val).into()))
        } else if ty_id == self.primitive_ids.float || ty_id == self.primitive_ids.float64 {
            let val: f64 = obj.extract().unwrap();
            self.id_to_primitive.write().insert(id, PrimitiveValue::F64(val));
@ -1203,7 +1209,9 @@ impl InnerResolver {
            Ok(Some(ndarray.as_pointer_value().into()))
        } else if ty_id == self.primitive_ids.tuple {
            let expected_ty_enum = ctx.unifier.get_ty_immutable(expected_ty);
-            let TypeEnum::TTuple { ty } = expected_ty_enum.as_ref() else { unreachable!() };
+            let TypeEnum::TTuple { ty, is_vararg_ctx: false } = expected_ty_enum.as_ref() else {
+                unreachable!()
+            };

            let tup_tys = ty.iter();
            let elements: &PyTuple = obj.downcast()?;
@ -1460,7 +1468,6 @@ impl SymbolResolver for Resolver {
        id: StrRef,
        _: &mut CodeGenContext<'ctx, '_>,
    ) -> Option<ValueEnum<'ctx>> {
-        println!("dc");
        let sym_value = {
            let id_to_val = self.0.id_to_pyval.read();
            id_to_val.get(&id).cloned()
--- a/nac3core/Cargo.toml
+++ b/nac3core/Cargo.toml
@ -4,6 +4,9 @@ version = "0.1.0"
 authors = ["M-Labs"]
 edition = "2021"

+[features]
+no-escape-analysis = []
+
 [dependencies]
 itertools = "0.13"
 crossbeam = "0.8"
@ -11,8 +14,8 @@ indexmap = "2.2"
 parking_lot = "0.12"
 rayon = "1.8"
 nac3parser = { path = "../nac3parser" }
-strum = "0.26.2"
-strum_macros = "0.26.4"
+strum = "0.26"
+strum_macros = "0.26"

 [dependencies.inkwell]
 version = "0.4"
--- a/nac3core/build.rs
+++ b/nac3core/build.rs
@ -8,37 +8,50 @@ use std::{
 };

 fn main() {
-    const FILE: &str = "src/codegen/irrt/irrt.cpp";
+    let out_dir = env::var("OUT_DIR").unwrap();
+    let out_dir = Path::new(&out_dir);
+    let irrt_dir = Path::new("irrt");
+
+    let irrt_cpp_path = irrt_dir.join("irrt.cpp");

    /*
     * HACK: Sadly, clang doesn't let us emit generic LLVM bitcode.
     * Compiling for WASM32 and filtering the output with regex is the closest we can get.
     */
-    let flags: &[&str] = &[
+    let mut flags: Vec<&str> = vec![
        "--target=wasm32",
-        FILE,
        "-x",
        "c++",
+        "-std=c++20",
        "-fno-discard-value-names",
        "-fno-exceptions",
        "-fno-rtti",
-        match env::var("PROFILE").as_deref() {
-            Ok("debug") => "-O0",
-            Ok("release") => "-O3",
-            flavor => panic!("Unknown or missing build flavor {flavor:?}"),
-        },
        "-emit-llvm",
        "-S",
        "-Wall",
        "-Wextra",
        "-o",
        "-",
+        "-I",
+        irrt_dir.to_str().unwrap(),
+        irrt_cpp_path.to_str().unwrap(),
    ];

-    println!("cargo:rerun-if-changed={FILE}");
-    let out_dir = env::var("OUT_DIR").unwrap();
-    let out_path = Path::new(&out_dir);
+    match env::var("PROFILE").as_deref() {
+        Ok("debug") => {
+            flags.push("-O0");
+            flags.push("-DIRRT_DEBUG_ASSERT");
+        }
+        Ok("release") => {
+            flags.push("-O3");
+        }
+        flavor => panic!("Unknown or missing build flavor {flavor:?}"),
+    }

+    // Tell Cargo to rerun if any file under `irrt_dir` (recursive) changes
+    println!("cargo:rerun-if-changed={}", irrt_dir.to_str().unwrap());
+
+    // Compile IRRT and capture the LLVM IR output
    let output = Command::new("clang-irrt")
        .args(flags)
        .output()
@ -52,7 +65,17 @@ fn main() {
    let output = std::str::from_utf8(&output.stdout).unwrap().replace("\r\n", "\n");
    let mut filtered_output = String::with_capacity(output.len());

-    let regex_filter = Regex::new(r"(?ms:^define.*?\}$)|(?m:^declare.*?$)").unwrap();
+    // Filter out irrelevant IR
+    //
+    // Regex:
+    // - `(?ms:^define.*?\}$)` captures LLVM `define` blocks
+    // - `(?m:^declare.*?$)` captures LLVM `declare` lines
+    // - `(?m:^%.+?=\s*type\s*\{.+?\}$)` captures LLVM `type` declarations
+    // - `(?m:^@.+?=.+$)` captures global constants
+    let regex_filter = Regex::new(
+        r"(?ms:^define.*?\}$)|(?m:^declare.*?$)|(?m:^%.+?=\s*type\s*\{.+?\}$)|(?m:^@.+?=.+$)",
+    )
+    .unwrap();
    for f in regex_filter.captures_iter(&output) {
        assert_eq!(f.len(), 1);
        filtered_output.push_str(&f[0]);
@ -63,18 +86,22 @@ fn main() {
        .unwrap()
        .replace_all(&filtered_output, "");

-    println!("cargo:rerun-if-env-changed=DEBUG_DUMP_IRRT");
-    if env::var("DEBUG_DUMP_IRRT").is_ok() {
-        let mut file = File::create(out_path.join("irrt.ll")).unwrap();
+    // For debugging
+    // Doing `DEBUG_DUMP_IRRT=1 cargo build -p nac3core` dumps the LLVM IR generated
+    const DEBUG_DUMP_IRRT: &str = "DEBUG_DUMP_IRRT";
+    println!("cargo:rerun-if-env-changed={DEBUG_DUMP_IRRT}");
+    if env::var(DEBUG_DUMP_IRRT).is_ok() {
+        let mut file = File::create(out_dir.join("irrt.ll")).unwrap();
        file.write_all(output.as_bytes()).unwrap();
-        let mut file = File::create(out_path.join("irrt-filtered.ll")).unwrap();
+
+        let mut file = File::create(out_dir.join("irrt-filtered.ll")).unwrap();
        file.write_all(filtered_output.as_bytes()).unwrap();
    }

    let mut llvm_as = Command::new("llvm-as-irrt")
        .stdin(Stdio::piped())
        .arg("-o")
-        .arg(out_path.join("irrt.bc"))
+        .arg(out_dir.join("irrt.bc"))
        .spawn()
        .unwrap();
    llvm_as.stdin.as_mut().unwrap().write_all(filtered_output.as_bytes()).unwrap();
--- a/nac3core/irrt/irrt.cpp
+++ b/nac3core/irrt/irrt.cpp
@ -0,0 +1,6 @@
+#include "irrt/exception.hpp"
+#include "irrt/int_types.hpp"
+#include "irrt/list.hpp"
+#include "irrt/math.hpp"
+#include "irrt/ndarray.hpp"
+#include "irrt/slice.hpp"
--- a/nac3core/irrt/irrt/cslice.hpp
+++ b/nac3core/irrt/irrt/cslice.hpp
@ -0,0 +1,9 @@
+#pragma once
+
+#include "irrt/int_types.hpp"
+
+template<typename SizeT>
+struct CSlice {
+    uint8_t* base;
+    SizeT len;
+};
--- a/nac3core/irrt/irrt/debug.hpp
+++ b/nac3core/irrt/irrt/debug.hpp
@ -0,0 +1,25 @@
+#pragma once
+
+// Set in nac3core/build.rs
+#ifdef IRRT_DEBUG_ASSERT
+#define IRRT_DEBUG_ASSERT_BOOL true
+#else
+#define IRRT_DEBUG_ASSERT_BOOL false
+#endif
+
+#define raise_debug_assert(SizeT, msg, param1, param2, param3) \
+    raise_exception(SizeT, EXN_ASSERTION_ERROR, "IRRT debug assert failed: " msg, param1, param2, param3)
+
+#define debug_assert_eq(SizeT, lhs, rhs)                                           \
+    if constexpr (IRRT_DEBUG_ASSERT_BOOL) {                                        \
+        if ((lhs) != (rhs)) {                                                      \
+            raise_debug_assert(SizeT, "LHS = {0}. RHS = {1}", lhs, rhs, NO_PARAM); \
+        }                                                                          \
+    }
+
+#define debug_assert(SizeT, expr)                                                  \
+    if constexpr (IRRT_DEBUG_ASSERT_BOOL) {                                        \
+        if (!(expr)) {                                                             \
+            raise_debug_assert(SizeT, "Got false.", NO_PARAM, NO_PARAM, NO_PARAM); \
+        }                                                                          \
+    }
--- a/nac3core/irrt/irrt/exception.hpp
+++ b/nac3core/irrt/irrt/exception.hpp
@ -0,0 +1,82 @@
+#pragma once
+
+#include "irrt/cslice.hpp"
+#include "irrt/int_types.hpp"
+
+/**
+ * @brief The int type of ARTIQ exception IDs.
+ */
+typedef int32_t ExceptionId;
+
+/*
+ * Set of exceptions C++ IRRT can use.
+ * Must be synchronized with `setup_irrt_exceptions` in `nac3core/src/codegen/irrt/mod.rs`.
+ */
+extern "C" {
+ExceptionId EXN_INDEX_ERROR;
+ExceptionId EXN_VALUE_ERROR;
+ExceptionId EXN_ASSERTION_ERROR;
+ExceptionId EXN_TYPE_ERROR;
+}
+
+/**
+ * @brief Extern function to `__nac3_raise`
+ *
+ * The parameter `err` could be `Exception<int32_t>` or `Exception<int64_t>`. The caller
+ * must make sure to pass `Exception`s with the correct `SizeT` depending on the `size_t` of the runtime.
+ */
+extern "C" void __nac3_raise(void* err);
+
+namespace {
+/**
+ * @brief NAC3's Exception struct
+ */
+template<typename SizeT>
+struct Exception {
+    ExceptionId id;
+    CSlice<SizeT> filename;
+    int32_t line;
+    int32_t column;
+    CSlice<SizeT> function;
+    CSlice<SizeT> msg;
+    int64_t params[3];
+};
+
+constexpr int64_t NO_PARAM = 0;
+
+template<typename SizeT>
+void _raise_exception_helper(ExceptionId id,
+                             const char* filename,
+                             int32_t line,
+                             const char* function,
+                             const char* msg,
+                             int64_t param0,
+                             int64_t param1,
+                             int64_t param2) {
+    Exception<SizeT> e = {
+        .id = id,
+        .filename = {.base = reinterpret_cast<const uint8_t*>(filename), .len = __builtin_strlen(filename)},
+        .line = line,
+        .column = 0,
+        .function = {.base = reinterpret_cast<const uint8_t*>(function), .len = __builtin_strlen(function)},
+        .msg = {.base = reinterpret_cast<const uint8_t*>(msg), .len = __builtin_strlen(msg)},
+    };
+    e.params[0] = param0;
+    e.params[1] = param1;
+    e.params[2] = param2;
+    __nac3_raise(reinterpret_cast<void*>(&e));
+    __builtin_unreachable();
+}
+
+/**
+ * @brief Raise an exception with location details (location in the IRRT source files).
+ * @param SizeT The runtime `size_t` type.
+ * @param id The ID of the exception to raise.
+ * @param msg A global constant C-string of the error message.
+ *
+ * `param0` to `param2` are optional format arguments of `msg`. They should be set to
+ * `NO_PARAM` to indicate they are unused.
+ */
+#define raise_exception(SizeT, id, msg, param0, param1, param2) \
+    _raise_exception_helper<SizeT>(id, __FILE__, __LINE__, __FUNCTION__, msg, param0, param1, param2)
+}  // namespace
--- a/nac3core/irrt/irrt/int_types.hpp
+++ b/nac3core/irrt/irrt/int_types.hpp
@ -0,0 +1,13 @@
+#pragma once
+
+using int8_t = _BitInt(8);
+using uint8_t = unsigned _BitInt(8);
+using int32_t = _BitInt(32);
+using uint32_t = unsigned _BitInt(32);
+using int64_t = _BitInt(64);
+using uint64_t = unsigned _BitInt(64);
+
+// NDArray indices are always `uint32_t`.
+using NDIndex = uint32_t;
+// The type of an index or a value describing the length of a range/slice is always `int32_t`.
+using SliceIndex = int32_t;
--- a/nac3core/irrt/irrt/list.hpp
+++ b/nac3core/irrt/irrt/list.hpp
@ -0,0 +1,75 @@
+#pragma once
+
+#include "irrt/int_types.hpp"
+#include "irrt/math_util.hpp"
+
+extern "C" {
+// Handle list assignment and dropping part of the list when
+// both dest_step and src_step are +1.
+// - All the index must *not* be out-of-bound or negative,
+// - The end index is *inclusive*,
+// - The length of src and dest slice size should already
+// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
+SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
+                                             SliceIndex dest_end,
+                                             SliceIndex dest_step,
+                                             uint8_t* dest_arr,
+                                             SliceIndex dest_arr_len,
+                                             SliceIndex src_start,
+                                             SliceIndex src_end,
+                                             SliceIndex src_step,
+                                             uint8_t* src_arr,
+                                             SliceIndex src_arr_len,
+                                             const SliceIndex size) {
+    /* if dest_arr_len == 0, do nothing since we do not support extending list */
+    if (dest_arr_len == 0)
+        return dest_arr_len;
+    /* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
+    if (src_step == dest_step && dest_step == 1) {
+        const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
+        const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
+        if (src_len > 0) {
+            __builtin_memmove(dest_arr + dest_start * size, src_arr + src_start * size, src_len * size);
+        }
+        if (dest_len > 0) {
+            /* dropping */
+            __builtin_memmove(dest_arr + (dest_start + src_len) * size, dest_arr + (dest_end + 1) * size,
+                              (dest_arr_len - dest_end - 1) * size);
+        }
+        /* shrink size */
+        return dest_arr_len - (dest_len - src_len);
+    }
+    /* if two range overlaps, need alloca */
+    uint8_t need_alloca = (dest_arr == src_arr)
+                          && !(max(dest_start, dest_end) < min(src_start, src_end)
+                               || max(src_start, src_end) < min(dest_start, dest_end));
+    if (need_alloca) {
+        uint8_t* tmp = reinterpret_cast<uint8_t*>(__builtin_alloca(src_arr_len * size));
+        __builtin_memcpy(tmp, src_arr, src_arr_len * size);
+        src_arr = tmp;
+    }
+    SliceIndex src_ind = src_start;
+    SliceIndex dest_ind = dest_start;
+    for (; (src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end); src_ind += src_step, dest_ind += dest_step) {
+        /* for constant optimization */
+        if (size == 1) {
+            __builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1);
+        } else if (size == 4) {
+            __builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
+        } else if (size == 8) {
+            __builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8);
+        } else {
+            /* memcpy for var size, cannot overlap after previous alloca */
+            __builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
+        }
+    }
+    /* only dest_step == 1 can we shrink the dest list. */
+    /* size should be ensured prior to calling this function */
+    if (dest_step == 1 && dest_end >= dest_start) {
+        __builtin_memmove(dest_arr + dest_ind * size, dest_arr + (dest_end + 1) * size,
+                          (dest_arr_len - dest_end - 1) * size);
+        return dest_arr_len - (dest_end - dest_ind) - 1;
+    }
+    return dest_arr_len;
+}
+}  // extern "C"
--- a/nac3core/irrt/irrt/math.hpp
+++ b/nac3core/irrt/irrt/math.hpp
@ -0,0 +1,93 @@
+#pragma once
+
+namespace {
+// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
+// need to make sure `exp >= 0` before calling this function
+template<typename T>
+T __nac3_int_exp_impl(T base, T exp) {
+    T res = 1;
+    /* repeated squaring method */
+    do {
+        if (exp & 1) {
+            res *= base; /* for n odd */
+        }
+        exp >>= 1;
+        base *= base;
+    } while (exp);
+    return res;
+}
+}  // namespace
+
+#define DEF_nac3_int_exp_(T)                   \
+    T __nac3_int_exp_##T(T base, T exp) {      \
+        return __nac3_int_exp_impl(base, exp); \
+    }
+
+extern "C" {
+
+// Putting semicolons here to make clang-format not reformat this into
+// a stair shape.
+DEF_nac3_int_exp_(int32_t);
+DEF_nac3_int_exp_(int64_t);
+DEF_nac3_int_exp_(uint32_t);
+DEF_nac3_int_exp_(uint64_t);
+
+int32_t __nac3_isinf(double x) {
+    return __builtin_isinf(x);
+}
+
+int32_t __nac3_isnan(double x) {
+    return __builtin_isnan(x);
+}
+
+double tgamma(double arg);
+
+double __nac3_gamma(double z) {
+    // Handling for denormals
+    //     | x                 | Python gamma(x) | C tgamma(x) |
+    // --- | ----------------- | --------------- | ----------- |
+    // (1) | nan               | nan             | nan         |
+    // (2) | -inf              | -inf            | inf         |
+    // (3) | inf               | inf             | inf         |
+    // (4) | 0.0               | inf             | inf         |
+    // (5) | {-1.0, -2.0, ...} | inf             | nan         |
+
+    // (1)-(3)
+    if (__builtin_isinf(z) || __builtin_isnan(z)) {
+        return z;
+    }
+
+    double v = tgamma(z);
+
+    // (4)-(5)
+    return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
+}
+
+double lgamma(double arg);
+
+double __nac3_gammaln(double x) {
+    // libm's handling of value overflows differs from scipy:
+    // - scipy: gammaln(-inf) -> -inf
+    // - libm : lgamma(-inf) -> inf
+
+    if (__builtin_isinf(x)) {
+        return x;
+    }
+
+    return lgamma(x);
+}
+
+double j0(double x);
+
+double __nac3_j0(double x) {
+    // libm's handling of value overflows differs from scipy:
+    // - scipy: j0(inf) -> nan
+    // - libm : j0(inf) -> 0.0
+
+    if (__builtin_isinf(x)) {
+        return __builtin_nan("");
+    }
+
+    return j0(x);
+}
+}
--- a/nac3core/irrt/irrt/math_util.hpp
+++ b/nac3core/irrt/irrt/math_util.hpp
@ -0,0 +1,13 @@
+#pragma once
+
+namespace {
+template<typename T>
+const T& max(const T& a, const T& b) {
+    return a > b ? a : b;
+}
+
+template<typename T>
+const T& min(const T& a, const T& b) {
+    return a > b ? b : a;
+}
+}  // namespace
--- a/nac3core/irrt/irrt/ndarray.hpp
+++ b/nac3core/irrt/irrt/ndarray.hpp
@ -0,0 +1,144 @@
+#pragma once
+
+#include "irrt/int_types.hpp"
+
+namespace {
+template<typename SizeT>
+SizeT __nac3_ndarray_calc_size_impl(const SizeT* list_data, SizeT list_len, SizeT begin_idx, SizeT end_idx) {
+    __builtin_assume(end_idx <= list_len);
+
+    SizeT num_elems = 1;
+    for (SizeT i = begin_idx; i < end_idx; ++i) {
+        SizeT val = list_data[i];
+        __builtin_assume(val > 0);
+        num_elems *= val;
+    }
+    return num_elems;
+}
+
+template<typename SizeT>
+void __nac3_ndarray_calc_nd_indices_impl(SizeT index, const SizeT* dims, SizeT num_dims, NDIndex* idxs) {
+    SizeT stride = 1;
+    for (SizeT dim = 0; dim < num_dims; dim++) {
+        SizeT i = num_dims - dim - 1;
+        __builtin_assume(dims[i] > 0);
+        idxs[i] = (index / stride) % dims[i];
+        stride *= dims[i];
+    }
+}
+
+template<typename SizeT>
+SizeT __nac3_ndarray_flatten_index_impl(const SizeT* dims, SizeT num_dims, const NDIndex* indices, SizeT num_indices) {
+    SizeT idx = 0;
+    SizeT stride = 1;
+    for (SizeT i = 0; i < num_dims; ++i) {
+        SizeT ri = num_dims - i - 1;
+        if (ri < num_indices) {
+            idx += stride * indices[ri];
+        }
+
+        __builtin_assume(dims[i] > 0);
+        stride *= dims[ri];
+    }
+    return idx;
+}
+
+template<typename SizeT>
+void __nac3_ndarray_calc_broadcast_impl(const SizeT* lhs_dims,
+                                        SizeT lhs_ndims,
+                                        const SizeT* rhs_dims,
+                                        SizeT rhs_ndims,
+                                        SizeT* out_dims) {
+    SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
+
+    for (SizeT i = 0; i < max_ndims; ++i) {
+        const SizeT* lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr;
+        const SizeT* rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr;
+        SizeT* out_dim = &out_dims[max_ndims - i - 1];
+
+        if (lhs_dim_sz == nullptr) {
+            *out_dim = *rhs_dim_sz;
+        } else if (rhs_dim_sz == nullptr) {
+            *out_dim = *lhs_dim_sz;
+        } else if (*lhs_dim_sz == 1) {
+            *out_dim = *rhs_dim_sz;
+        } else if (*rhs_dim_sz == 1) {
+            *out_dim = *lhs_dim_sz;
+        } else if (*lhs_dim_sz == *rhs_dim_sz) {
+            *out_dim = *lhs_dim_sz;
+        } else {
+            __builtin_unreachable();
+        }
+    }
+}
+
+template<typename SizeT>
+void __nac3_ndarray_calc_broadcast_idx_impl(const SizeT* src_dims,
+                                            SizeT src_ndims,
+                                            const NDIndex* in_idx,
+                                            NDIndex* out_idx) {
+    for (SizeT i = 0; i < src_ndims; ++i) {
+        SizeT src_i = src_ndims - i - 1;
+        out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i];
+    }
+}
+}  // namespace
+
+extern "C" {
+uint32_t __nac3_ndarray_calc_size(const uint32_t* list_data, uint32_t list_len, uint32_t begin_idx, uint32_t end_idx) {
+    return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
+}
+
+uint64_t
+__nac3_ndarray_calc_size64(const uint64_t* list_data, uint64_t list_len, uint64_t begin_idx, uint64_t end_idx) {
+    return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
+}
+
+void __nac3_ndarray_calc_nd_indices(uint32_t index, const uint32_t* dims, uint32_t num_dims, NDIndex* idxs) {
+    __nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
+}
+
+void __nac3_ndarray_calc_nd_indices64(uint64_t index, const uint64_t* dims, uint64_t num_dims, NDIndex* idxs) {
+    __nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
+}
+
+uint32_t
+__nac3_ndarray_flatten_index(const uint32_t* dims, uint32_t num_dims, const NDIndex* indices, uint32_t num_indices) {
+    return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
+}
+
+uint64_t
+__nac3_ndarray_flatten_index64(const uint64_t* dims, uint64_t num_dims, const NDIndex* indices, uint64_t num_indices) {
+    return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
+}
+
+void __nac3_ndarray_calc_broadcast(const uint32_t* lhs_dims,
+                                   uint32_t lhs_ndims,
+                                   const uint32_t* rhs_dims,
+                                   uint32_t rhs_ndims,
+                                   uint32_t* out_dims) {
+    return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
+}
+
+void __nac3_ndarray_calc_broadcast64(const uint64_t* lhs_dims,
+                                     uint64_t lhs_ndims,
+                                     const uint64_t* rhs_dims,
+                                     uint64_t rhs_ndims,
+                                     uint64_t* out_dims) {
+    return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
+}
+
+void __nac3_ndarray_calc_broadcast_idx(const uint32_t* src_dims,
+                                       uint32_t src_ndims,
+                                       const NDIndex* in_idx,
+                                       NDIndex* out_idx) {
+    __nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
+}
+
+void __nac3_ndarray_calc_broadcast_idx64(const uint64_t* src_dims,
+                                         uint64_t src_ndims,
+                                         const NDIndex* in_idx,
+                                         NDIndex* out_idx) {
+    __nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
+}
+}
--- a/nac3core/irrt/irrt/slice.hpp
+++ b/nac3core/irrt/irrt/slice.hpp
@ -0,0 +1,28 @@
+#pragma once
+
+#include "irrt/int_types.hpp"
+
+extern "C" {
+SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
+    if (i < 0) {
+        i = len + i;
+    }
+    if (i < 0) {
+        return 0;
+    } else if (i > len) {
+        return len;
+    }
+    return i;
+}
+
+SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end, const SliceIndex step) {
+    SliceIndex diff = end - start;
+    if (diff > 0 && step > 0) {
+        return ((diff - 1) / step) + 1;
+    } else if (diff < 0 && step < 0) {
+        return ((diff + 1) / step) + 1;
+    } else {
+        return 0;
+    }
+}
+}
--- a/nac3core/src/codegen/builtin_fns.rs
+++ b/nac3core/src/codegen/builtin_fns.rs
@ -1,26 +1,94 @@
 use inkwell::types::BasicTypeEnum;
-use inkwell::values::BasicValueEnum;
+use inkwell::values::{BasicValue, BasicValueEnum, IntValue, PointerValue};
 use inkwell::{FloatPredicate, IntPredicate, OptimizationLevel};
 use itertools::Itertools;

-use crate::codegen::classes::{NDArrayValue, ProxyValue, UntypedArrayLikeAccessor};
+use crate::codegen::classes::{
+    ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor,
+    UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
+};
+use crate::codegen::expr::destructure_range;
+use crate::codegen::irrt::calculate_len_for_slice_range;
+use crate::codegen::macros::codegen_unreachable;
 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};
 use crate::toplevel::helper::PrimDef;
 use crate::toplevel::numpy::unpack_ndarray_var_tys;
-use crate::typecheck::typedef::Type;
+use crate::typecheck::typedef::{Type, TypeEnum};

 /// Shorthand for [`unreachable!()`] when a type of argument is not supported.
 ///
 /// The generated message will contain the function name and the name of the unsupported type.
 fn unsupported_type(ctx: &CodeGenContext<'_, '_>, fn_name: &str, tys: &[Type]) -> ! {
-    unreachable!(
+    codegen_unreachable!(
+        ctx,
        "{fn_name}() not supported for '{}'",
        tys.iter().map(|ty| format!("'{}'", ctx.unifier.stringify(*ty))).join(", "),
    )
 }

+/// Invokes the `len` builtin function.
+pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    n: (Type, BasicValueEnum<'ctx>),
+) -> Result<IntValue<'ctx>, String> {
+    let llvm_i32 = ctx.ctx.i32_type();
+    let range_ty = ctx.primitives.range;
+    let (arg_ty, arg) = n;
+
+    Ok(if ctx.unifier.unioned(arg_ty, range_ty) {
+        let arg = RangeValue::from_ptr_val(arg.into_pointer_value(), Some("range"));
+        let (start, end, step) = destructure_range(ctx, arg);
+        calculate_len_for_slice_range(generator, ctx, start, end, step)
+    } else {
+        match &*ctx.unifier.get_ty_immutable(arg_ty) {
+            TypeEnum::TTuple { ty, .. } => llvm_i32.const_int(ty.len() as u64, false),
+            TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
+                let zero = llvm_i32.const_zero();
+                let len = ctx
+                    .build_gep_and_load(
+                        arg.into_pointer_value(),
+                        &[zero, llvm_i32.const_int(1, false)],
+                        None,
+                    )
+                    .into_int_value();
+                ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
+            }
+            TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
+                let llvm_usize = generator.get_size_type(ctx.ctx);
+
+                let arg = NDArrayValue::from_ptr_val(arg.into_pointer_value(), llvm_usize, None);
+
+                let ndims = arg.dim_sizes().size(ctx, generator);
+                ctx.make_assert(
+                    generator,
+                    ctx.builder
+                        .build_int_compare(IntPredicate::NE, ndims, llvm_usize.const_zero(), "")
+                        .unwrap(),
+                    "0:TypeError",
+                    "len() of unsized object",
+                    [None, None, None],
+                    ctx.current_loc,
+                );
+
+                let len = unsafe {
+                    arg.dim_sizes().get_typed_unchecked(
+                        ctx,
+                        generator,
+                        &llvm_usize.const_zero(),
+                        None,
+                    )
+                };
+
+                ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
+            }
+            _ => codegen_unreachable!(ctx),
+        }
+    })
+}
+
 /// Invokes the `int32` builtin function.
 pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
    generator: &mut G,
@ -31,7 +99,6 @@ pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
    let llvm_usize = generator.get_size_type(ctx.ctx);

    let (n_ty, n) = n;
-
    Ok(match n {
        BasicValueEnum::IntValue(n) if matches!(n.get_type().get_bit_width(), 1 | 8) => {
            debug_assert!(ctx.unifier.unioned(n_ty, ctx.primitives.bool));
@ -602,7 +669,7 @@ pub fn call_ceil<'ctx, G: CodeGenerator + ?Sized>(
                ret_elem_ty,
                None,
                NDArrayValue::from_ptr_val(n, llvm_usize, None),
-                |generator, ctx, val| call_floor(generator, ctx, (elem_ty, val), ret_elem_ty),
+                |generator, ctx, val| call_ceil(generator, ctx, (elem_ty, val), ret_elem_ty),
            )?;

            ndarray.as_base_value().into()
@ -719,7 +786,7 @@ pub fn call_numpy_minimum<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -823,7 +890,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
            match fn_name {
                "np_argmin" | "np_argmax" => llvm_int64.const_zero().into(),
                "np_max" | "np_min" => a,
-                _ => unreachable!(),
+                _ => codegen_unreachable!(ctx),
            }
        }
        BasicValueEnum::PointerValue(n)
@ -863,6 +930,7 @@ 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| {
@ -877,7 +945,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
                        "np_argmax" | "np_max" => {
                            call_max(ctx, (elem_ty, accumulator), (elem_ty, elem))
                        }
-                        _ => unreachable!(),
+                        _ => codegen_unreachable!(ctx),
                    };

                    let updated_idx = match (accumulator, result) {
@ -914,7 +982,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
            match fn_name {
                "np_argmin" | "np_argmax" => ctx.builder.build_load(res_idx, "").unwrap(),
                "np_max" | "np_min" => ctx.builder.build_load(accumulator_addr, "").unwrap(),
-                _ => unreachable!(),
+                _ => codegen_unreachable!(ctx),
            }
        }

@ -980,7 +1048,7 @@ pub fn call_numpy_maximum<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1010,9 +1078,9 @@ pub fn call_numpy_maximum<'ctx, G: CodeGenerator + ?Sized>(
 /// * `(arg_ty, arg_val)`: The [`Type`] and llvm value of the input argument.
 /// * `fn_name`: The name of the function, only used when throwing an error with [`unsupported_type`]
 /// * `get_ret_elem_type`: A function that takes in the input scalar [`Type`], and returns the function's return scalar [`Type`].
-/// Return a constant [`Type`] here if the return type does not depend on the input type.
+///   Return a constant [`Type`] here if the return type does not depend on the input type.
 /// * `on_scalar`: The function that acts on the scalars of the input. Returns [`Option::None`]
-/// if the scalar type & value are faulty and should panic with [`unsupported_type`].
+///   if the scalar type & value are faulty and should panic with [`unsupported_type`].
 fn helper_call_numpy_unary_elementwise<'ctx, OnScalarFn, RetElemFn, G>(
    generator: &mut G,
    ctx: &mut CodeGenContext<'ctx, '_>,
@ -1123,9 +1191,9 @@ pub fn call_abs<'ctx, G: CodeGenerator + ?Sized>(
 /// * `$name:ident`: The identifier of the rust function to be generated.
 /// * `$fn_name:literal`: To be passed to the `fn_name` parameter of [`helper_call_numpy_unary_elementwise`]
 /// * `$get_ret_elem_type:expr`: To be passed to the `get_ret_elem_type` parameter of [`helper_call_numpy_unary_elementwise`].
-/// But there is no need to make it a reference.
+///   But there is no need to make it a reference.
 /// * `$on_scalar:expr`: To be passed to the `on_scalar` parameter of [`helper_call_numpy_unary_elementwise`].
-/// But there is no need to make it a reference.
+///   But there is no need to make it a reference.
 macro_rules! create_helper_call_numpy_unary_elementwise {
    ($name:ident, $fn_name:literal, $get_ret_elem_type:expr, $on_scalar:expr) => {
        #[allow(clippy::redundant_closure_call)]
@ -1152,7 +1220,7 @@ macro_rules! create_helper_call_numpy_unary_elementwise {
 /// * `$name:ident`: The identifier of the rust function to be generated.
 /// * `$fn_name:literal`: To be passed to the `fn_name` parameter of [`helper_call_numpy_unary_elementwise`].
 /// * `$on_scalar:expr`: The closure (see below for its type) that acts on float scalar values and returns
-/// the boolean results of LLVM type `i1`. The returned `i1` value will be converted into an `i8`.
+///   the boolean results of LLVM type `i1`. The returned `i1` value will be converted into an `i8`.
 ///
 /// ```ignore
 /// // Type of `$on_scalar:expr`
@ -1420,7 +1488,7 @@ pub fn call_numpy_arctan2<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1487,7 +1555,7 @@ pub fn call_numpy_copysign<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1554,7 +1622,7 @@ pub fn call_numpy_fmax<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1621,7 +1689,7 @@ pub fn call_numpy_fmin<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1744,7 +1812,7 @@ pub fn call_numpy_hypot<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1811,7 +1879,7 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
            } else if is_ndarray2 {
                unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
@ -1835,3 +1903,501 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
        _ => unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]),
    })
 }
+
+/// Allocates a struct with the fields specified by `out_matrices` and returns a pointer to it
+fn build_output_struct<'ctx>(
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    out_matrices: Vec<BasicValueEnum<'ctx>>,
+) -> PointerValue<'ctx> {
+    let field_ty =
+        out_matrices.iter().map(BasicValueEnum::get_type).collect::<Vec<BasicTypeEnum>>();
+    let out_ty = ctx.ctx.struct_type(&field_ty, false);
+    let out_ptr = ctx.builder.build_alloca(out_ty, "").unwrap();
+
+    for (i, v) in out_matrices.into_iter().enumerate() {
+        unsafe {
+            let ptr = ctx
+                .builder
+                .build_in_bounds_gep(
+                    out_ptr,
+                    &[
+                        ctx.ctx.i32_type().const_zero(),
+                        ctx.ctx.i32_type().const_int(i as u64, false),
+                    ],
+                    "",
+                )
+                .unwrap();
+            ctx.builder.build_store(ptr, v).unwrap();
+        }
+    }
+    out_ptr
+}
+
+/// Invokes the `np_linalg_cholesky` linalg function
+pub fn call_np_linalg_cholesky<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_cholesky";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let dim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+
+        let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim1])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_np_linalg_cholesky(ctx, x1, out, None);
+        Ok(out)
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `np_linalg_qr` linalg function
+pub fn call_np_linalg_qr<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_qr";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unimplemented!("{FN_NAME} operates on float type NdArrays only");
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let dim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+        let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
+
+        let out_q = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, k])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        let out_r = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k, dim1])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_np_linalg_qr(ctx, x1, out_q, out_r, None);
+
+        let out_ptr = build_output_struct(ctx, vec![out_q, out_r]);
+
+        Ok(ctx.builder.build_load(out_ptr, "QR_Factorization_result").map(Into::into).unwrap())
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `np_linalg_svd` linalg function
+pub fn call_np_linalg_svd<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_svd";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let dim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+        let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
+
+        let out_u = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        let out_s = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        let out_vh = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim1, dim1])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_np_linalg_svd(ctx, x1, out_u, out_s, out_vh, None);
+
+        let out_ptr = build_output_struct(ctx, vec![out_u, out_s, out_vh]);
+
+        Ok(ctx.builder.build_load(out_ptr, "SVD_Factorization_result").map(Into::into).unwrap())
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `np_linalg_inv` linalg function
+pub fn call_np_linalg_inv<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_inv";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let dim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+
+        let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim1])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_np_linalg_inv(ctx, x1, out, None);
+        Ok(out)
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `np_linalg_pinv` linalg function
+pub fn call_np_linalg_pinv<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_pinv";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let dim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+
+        let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim1, dim0])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_np_linalg_pinv(ctx, x1, out, None);
+        Ok(out)
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `sp_linalg_lu` linalg function
+pub fn call_sp_linalg_lu<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "sp_linalg_lu";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let dim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+        let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
+
+        let out_l = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, k])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        let out_u = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k, dim1])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_sp_linalg_lu(ctx, x1, out_l, out_u, None);
+
+        let out_ptr = build_output_struct(ctx, vec![out_l, out_u]);
+        Ok(ctx.builder.build_load(out_ptr, "LU_Factorization_result").map(Into::into).unwrap())
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `np_linalg_matrix_power` linalg function
+pub fn call_np_linalg_matrix_power<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+    x2: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_matrix_power";
+    let (x1_ty, x1) = x1;
+    let (x2_ty, x2) = x2;
+    let x2 = call_float(generator, ctx, (x2_ty, x2)).unwrap();
+
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+    if let (BasicValueEnum::PointerValue(n1), BasicValueEnum::FloatValue(n2)) = (x1, x2) {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+        // Changing second parameter to a `NDArray` for uniformity in function call
+        let n2_array = numpy::create_ndarray_const_shape(
+            generator,
+            ctx,
+            elem_ty,
+            &[llvm_usize.const_int(1, false)],
+        )
+        .unwrap();
+        unsafe {
+            n2_array.data().set_unchecked(
+                ctx,
+                generator,
+                &llvm_usize.const_zero(),
+                n2.as_basic_value_enum(),
+            );
+        };
+        let n2_array = n2_array.as_base_value().as_basic_value_enum();
+
+        let outdim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let outdim1 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
+                .into_int_value()
+        };
+
+        let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[outdim0, outdim1])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_np_linalg_matrix_power(ctx, x1, n2_array, out, None);
+        Ok(out)
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty])
+    }
+}
+
+/// Invokes the `np_linalg_det` linalg function
+pub fn call_np_linalg_det<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "np_linalg_matrix_power";
+    let (x1_ty, x1) = x1;
+
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+    if let BasicValueEnum::PointerValue(_) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        // Changing second parameter to a `NDArray` for uniformity in function call
+        let out = numpy::create_ndarray_const_shape(
+            generator,
+            ctx,
+            elem_ty,
+            &[llvm_usize.const_int(1, false)],
+        )
+        .unwrap();
+        extern_fns::call_np_linalg_det(ctx, x1, out.as_base_value().as_basic_value_enum(), None);
+        let res =
+            unsafe { out.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None) };
+        Ok(res)
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `sp_linalg_schur` linalg function
+pub fn call_sp_linalg_schur<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "sp_linalg_schur";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let out_t = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        let out_z = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+
+        extern_fns::call_sp_linalg_schur(ctx, x1, out_t, out_z, None);
+
+        let out_ptr = build_output_struct(ctx, vec![out_t, out_z]);
+        Ok(ctx.builder.build_load(out_ptr, "Schur_Factorization_result").map(Into::into).unwrap())
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
+
+/// Invokes the `sp_linalg_hessenberg` linalg function
+pub fn call_sp_linalg_hessenberg<'ctx, G: CodeGenerator + ?Sized>(
+    generator: &mut G,
+    ctx: &mut CodeGenContext<'ctx, '_>,
+    x1: (Type, BasicValueEnum<'ctx>),
+) -> Result<BasicValueEnum<'ctx>, String> {
+    const FN_NAME: &str = "sp_linalg_hessenberg";
+    let (x1_ty, x1) = x1;
+    let llvm_usize = generator.get_size_type(ctx.ctx);
+
+    if let BasicValueEnum::PointerValue(n1) = x1 {
+        let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
+        let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
+
+        let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
+            unsupported_type(ctx, FN_NAME, &[x1_ty]);
+        };
+
+        let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
+
+        let dim0 = unsafe {
+            n1.dim_sizes()
+                .get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
+                .into_int_value()
+        };
+        let out_h = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        let out_q = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
+            .unwrap()
+            .as_base_value()
+            .as_basic_value_enum();
+        extern_fns::call_sp_linalg_hessenberg(ctx, x1, out_h, out_q, None);
+
+        let out_ptr = build_output_struct(ctx, vec![out_h, out_q]);
+        Ok(ctx
+            .builder
+            .build_load(out_ptr, "Hessenberg_decomposition_result")
+            .map(Into::into)
+            .unwrap())
+    } else {
+        unsupported_type(ctx, FN_NAME, &[x1_ty])
+    }
+}
--- a/nac3core/src/codegen/classes.rs
+++ b/nac3core/src/codegen/classes.rs
@ -1404,7 +1404,7 @@ impl<'ctx> NDArrayValue<'ctx> {

    /// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
    /// on the field.
-    fn ptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
+    pub fn ptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
        let llvm_i32 = ctx.ctx.i32_type();
        let var_name = self.name.map(|v| format!("{v}.data.addr")).unwrap_or_default();

@ -1717,6 +1717,7 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
        gen_for_callback_incrementing(
            generator,
            ctx,
+            None,
            llvm_usize.const_zero(),
            (len, false),
            |generator, ctx, _, i| {
--- a/nac3core/src/codegen/concrete_type.rs
+++ b/nac3core/src/codegen/concrete_type.rs
@ -25,6 +25,7 @@ pub struct ConcreteFuncArg {
    pub name: StrRef,
    pub ty: ConcreteType,
    pub default_value: Option<SymbolValue>,
+    pub is_vararg: bool,
 }

 #[derive(Clone, Debug)]
@ -46,6 +47,7 @@ pub enum ConcreteTypeEnum {
    TPrimitive(Primitive),
    TTuple {
        ty: Vec<ConcreteType>,
+        is_vararg_ctx: bool,
    },
    TObj {
        obj_id: DefinitionId,
@ -102,8 +104,16 @@ impl ConcreteTypeStore {
                .iter()
                .map(|arg| ConcreteFuncArg {
                    name: arg.name,
-                    ty: self.from_unifier_type(unifier, primitives, arg.ty, cache),
+                    ty: if arg.is_vararg {
+                        let tuple_ty = unifier
+                            .add_ty(TypeEnum::TTuple { ty: vec![arg.ty], is_vararg_ctx: true });
+
+                        self.from_unifier_type(unifier, primitives, tuple_ty, cache)
+                    } else {
+                        self.from_unifier_type(unifier, primitives, arg.ty, cache)
+                    },
                    default_value: arg.default_value.clone(),
+                    is_vararg: arg.is_vararg,
                })
                .collect(),
            ret: self.from_unifier_type(unifier, primitives, signature.ret, cache),
@ -158,11 +168,12 @@ impl ConcreteTypeStore {
            cache.insert(ty, None);
            let ty_enum = unifier.get_ty(ty);
            let result = match &*ty_enum {
-                TypeEnum::TTuple { ty } => ConcreteTypeEnum::TTuple {
+                TypeEnum::TTuple { ty, is_vararg_ctx } => ConcreteTypeEnum::TTuple {
                    ty: ty
                        .iter()
                        .map(|t| self.from_unifier_type(unifier, primitives, *t, cache))
                        .collect(),
+                    is_vararg_ctx: *is_vararg_ctx,
                },
                TypeEnum::TObj { obj_id, fields, params } => ConcreteTypeEnum::TObj {
                    obj_id: *obj_id,
@ -248,11 +259,12 @@ impl ConcreteTypeStore {
                *cache.get_mut(&cty).unwrap() = Some(ty);
                return ty;
            }
-            ConcreteTypeEnum::TTuple { ty } => TypeEnum::TTuple {
+            ConcreteTypeEnum::TTuple { ty, is_vararg_ctx } => TypeEnum::TTuple {
                ty: ty
                    .iter()
                    .map(|cty| self.to_unifier_type(unifier, primitives, *cty, cache))
                    .collect(),
+                is_vararg_ctx: *is_vararg_ctx,
            },
            ConcreteTypeEnum::TVirtual { ty } => {
                TypeEnum::TVirtual { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
@ -277,6 +289,7 @@ impl ConcreteTypeStore {
                        name: arg.name,
                        ty: self.to_unifier_type(unifier, primitives, arg.ty, cache),
                        default_value: arg.default_value.clone(),
+                        is_vararg: false,
                    })
                    .collect(),
                ret: self.to_unifier_type(unifier, primitives, *ret, cache),
--- a/nac3core/src/codegen/expr.rs
+++ b/nac3core/src/codegen/expr.rs
--- a/nac3core/src/codegen/extern_fns.rs
+++ b/nac3core/src/codegen/extern_fns.rs
@ -13,11 +13,11 @@ use crate::codegen::CodeGenContext;
 /// * `$extern_fn:literal`: Name of underlying extern function
 ///
 /// Optional Arguments:
-/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function
-/// The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly"
-/// These will be used unless other attributes are specified
+/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function.
+///   The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly".
+///   These will be used unless other attributes are specified
 /// * `$(,$args:ident)*`: Operands of the extern function
-/// The data type of these operands will be set to `FloatValue`
+///   The data type of these operands will be set to `FloatValue`
 ///  
 macro_rules! generate_extern_fn {
    ("unary", $fn_name:ident, $extern_fn:literal) => {
@ -130,3 +130,62 @@ pub fn call_ldexp<'ctx>(
        .map(Either::unwrap_left)
        .unwrap()
 }
+
+/// Macro to generate `np_linalg` and `sp_linalg` functions
+/// The function takes as input `NDArray` and returns ()
+///
+/// Arguments:
+/// * `$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);
--- a/nac3core/src/codegen/generator.rs
+++ b/nac3core/src/codegen/generator.rs
@ -57,6 +57,7 @@ pub trait CodeGenerator {
    /// - fun: Function signature, definition ID and the substitution key.
    /// - params: Function parameters. Note that this does not include the object even if the
    ///   function is a class method.
+    ///
    /// Note that this function should check if the function is generated in another thread (due to
    /// possible race condition), see the default implementation for an example.
    fn gen_func_instance<'ctx>(
@ -123,11 +124,45 @@ pub trait CodeGenerator {
        ctx: &mut CodeGenContext<'ctx, '_>,
        target: &Expr<Option<Type>>,
        value: ValueEnum<'ctx>,
+        value_ty: Type,
    ) -> Result<(), String>
    where
        Self: Sized,
    {
-        gen_assign(self, ctx, target, value)
+        gen_assign(self, ctx, target, value, value_ty)
+    }
+
+    /// Generate code for an assignment expression where LHS is a `"target_list"`.
+    ///
+    /// See <https://docs.python.org/3/reference/simple_stmts.html#assignment-statements>.
+    fn gen_assign_target_list<'ctx>(
+        &mut self,
+        ctx: &mut CodeGenContext<'ctx, '_>,
+        targets: &Vec<Expr<Option<Type>>>,
+        value: ValueEnum<'ctx>,
+        value_ty: Type,
+    ) -> Result<(), String>
+    where
+        Self: Sized,
+    {
+        gen_assign_target_list(self, ctx, targets, value, value_ty)
+    }
+
+    /// Generate code for an item assignment.
+    ///
+    /// i.e., `target[key] = value`
+    fn gen_setitem<'ctx>(
+        &mut self,
+        ctx: &mut CodeGenContext<'ctx, '_>,
+        target: &Expr<Option<Type>>,
+        key: &Expr<Option<Type>>,
+        value: ValueEnum<'ctx>,
+        value_ty: Type,
+    ) -> Result<(), String>
+    where
+        Self: Sized,
+    {
+        gen_setitem(self, ctx, target, key, value, value_ty)
    }

    /// Generate code for a while expression.
--- a/nac3core/src/codegen/irrt/irrt.cpp
+++ b/nac3core/src/codegen/irrt/irrt.cpp
@ -1,414 +0,0 @@
-using int8_t = _BitInt(8);
-using uint8_t = unsigned _BitInt(8);
-using int32_t = _BitInt(32);
-using uint32_t = unsigned _BitInt(32);
-using int64_t = _BitInt(64);
-using uint64_t = unsigned _BitInt(64);
-
-// NDArray indices are always `uint32_t`.
-using NDIndex = uint32_t;
-// The type of an index or a value describing the length of a range/slice is always `int32_t`.
-using SliceIndex = int32_t;
-
-namespace {
-template <typename T>
-const T& max(const T& a, const T& b) {
-    return a > b ? a : b;
-}
-
-template <typename T>
-const T& min(const T& a, const T& b) {
-    return a > b ? b : a;
-}
-
-// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
-// need to make sure `exp >= 0` before calling this function
-template <typename T>
-T __nac3_int_exp_impl(T base, T exp) {
-    T res = 1;
-    /* repeated squaring method */
-    do {
-        if (exp & 1) {
-            res *= base; /* for n odd */
-        }
-        exp >>= 1;
-        base *= base;
-    } while (exp);
-    return res;
-}
-
-template <typename SizeT>
-SizeT __nac3_ndarray_calc_size_impl(
-    const SizeT* list_data,
-    SizeT list_len,
-    SizeT begin_idx,
-    SizeT end_idx
-) {
-    __builtin_assume(end_idx <= list_len);
-
-    SizeT num_elems = 1;
-    for (SizeT i = begin_idx; i < end_idx; ++i) {
-        SizeT val = list_data[i];
-        __builtin_assume(val > 0);
-        num_elems *= val;
-    }
-    return num_elems;
-}
-
-template <typename SizeT>
-void __nac3_ndarray_calc_nd_indices_impl(
-    SizeT index,
-    const SizeT* dims,
-    SizeT num_dims,
-    NDIndex* idxs
-) {
-    SizeT stride = 1;
-    for (SizeT dim = 0; dim < num_dims; dim++) {
-        SizeT i = num_dims - dim - 1;
-        __builtin_assume(dims[i] > 0);
-        idxs[i] = (index / stride) % dims[i];
-        stride *= dims[i];
-    }
-}
-
-template <typename SizeT>
-SizeT __nac3_ndarray_flatten_index_impl(
-    const SizeT* dims,
-    SizeT num_dims,
-    const NDIndex* indices,
-    SizeT num_indices
-) {
-    SizeT idx = 0;
-    SizeT stride = 1;
-    for (SizeT i = 0; i < num_dims; ++i) {
-        SizeT ri = num_dims - i - 1;
-        if (ri < num_indices) {
-            idx += stride * indices[ri];
-        }
-
-        __builtin_assume(dims[i] > 0);
-        stride *= dims[ri];
-    }
-    return idx;
-}
-
-template <typename SizeT>
-void __nac3_ndarray_calc_broadcast_impl(
-    const SizeT* lhs_dims,
-    SizeT lhs_ndims,
-    const SizeT* rhs_dims,
-    SizeT rhs_ndims,
-    SizeT* out_dims
-) {
-    SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
-
-    for (SizeT i = 0; i < max_ndims; ++i) {
-        const SizeT* lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr;
-        const SizeT* rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr;
-        SizeT* out_dim = &out_dims[max_ndims - i - 1];
-
-        if (lhs_dim_sz == nullptr) {
-            *out_dim = *rhs_dim_sz;
-        } else if (rhs_dim_sz == nullptr) {
-            *out_dim = *lhs_dim_sz;
-        } else if (*lhs_dim_sz == 1) {
-            *out_dim = *rhs_dim_sz;
-        } else if (*rhs_dim_sz == 1) {
-            *out_dim = *lhs_dim_sz;
-        } else if (*lhs_dim_sz == *rhs_dim_sz) {
-            *out_dim = *lhs_dim_sz;
-        } else {
-            __builtin_unreachable();
-        }
-    }
-}
-
-template <typename SizeT>
-void __nac3_ndarray_calc_broadcast_idx_impl(
-    const SizeT* src_dims,
-    SizeT src_ndims,
-    const NDIndex* in_idx,
-    NDIndex* out_idx
-) {
-    for (SizeT i = 0; i < src_ndims; ++i) {
-        SizeT src_i = src_ndims - i - 1;
-        out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i];
-    }
-}
-}  // namespace
-
-extern "C" {
-#define DEF_nac3_int_exp_(T) \
-    T __nac3_int_exp_##T(T base, T exp) {\
-        return __nac3_int_exp_impl(base, exp);\
-    }
-
-DEF_nac3_int_exp_(int32_t)
-DEF_nac3_int_exp_(int64_t)
-DEF_nac3_int_exp_(uint32_t)
-DEF_nac3_int_exp_(uint64_t)
-
-SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
-    if (i < 0) {
-        i = len + i;
-    }
-    if (i < 0) {
-        return 0;
-    } else if (i > len) {
-        return len;
-    }
-    return i;
-}
-
-SliceIndex __nac3_range_slice_len(
-    const SliceIndex start,
-    const SliceIndex end,
-    const SliceIndex step
-) {
-    SliceIndex diff = end - start;
-    if (diff > 0 && step > 0) {
-        return ((diff - 1) / step) + 1;
-    } else if (diff < 0 && step < 0) {
-        return ((diff + 1) / step) + 1;
-    } else {
-        return 0;
-    }
-}
-
-// Handle list assignment and dropping part of the list when
-// both dest_step and src_step are +1.
-// - All the index must *not* be out-of-bound or negative,
-// - The end index is *inclusive*,
-// - The length of src and dest slice size should already
-// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
-SliceIndex __nac3_list_slice_assign_var_size(
-    SliceIndex dest_start,
-    SliceIndex dest_end,
-    SliceIndex dest_step,
-    uint8_t* dest_arr,
-    SliceIndex dest_arr_len,
-    SliceIndex src_start,
-    SliceIndex src_end,
-    SliceIndex src_step,
-    uint8_t* src_arr,
-    SliceIndex src_arr_len,
-    const SliceIndex size
-) {
-    /* if dest_arr_len == 0, do nothing since we do not support extending list */
-    if (dest_arr_len == 0) return dest_arr_len;
-    /* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
-    if (src_step == dest_step && dest_step == 1) {
-        const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
-        const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
-        if (src_len > 0) {
-            __builtin_memmove(
-                dest_arr + dest_start * size,
-                src_arr + src_start * size,
-                src_len * size
-            );
-        }
-        if (dest_len > 0) {
-            /* dropping */
-            __builtin_memmove(
-                dest_arr + (dest_start + src_len) * size,
-                dest_arr + (dest_end + 1) * size,
-                (dest_arr_len - dest_end - 1) * size
-            );
-        }
-        /* shrink size */
-        return dest_arr_len - (dest_len - src_len);
-    }
-    /* if two range overlaps, need alloca */
-    uint8_t need_alloca =
-        (dest_arr == src_arr)
-        && !(
-            max(dest_start, dest_end) < min(src_start, src_end)
-            || max(src_start, src_end) < min(dest_start, dest_end)
-        );
-    if (need_alloca) {
-        uint8_t* tmp = reinterpret_cast<uint8_t *>(__builtin_alloca(src_arr_len * size));
-        __builtin_memcpy(tmp, src_arr, src_arr_len * size);
-        src_arr = tmp;
-    }
-    SliceIndex src_ind = src_start;
-    SliceIndex dest_ind = dest_start;
-    for (;
-        (src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end);
-        src_ind += src_step, dest_ind += dest_step
-    ) {
-        /* for constant optimization */
-        if (size == 1) {
-            __builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1);
-        } else if (size == 4) {
-            __builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
-        } else if (size == 8) {
-            __builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8);
-        } else {
-            /* memcpy for var size, cannot overlap after previous alloca */
-            __builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
-        }
-    }
-    /* only dest_step == 1 can we shrink the dest list. */
-    /* size should be ensured prior to calling this function */
-    if (dest_step == 1 && dest_end >= dest_start) {
-        __builtin_memmove(
-            dest_arr + dest_ind * size,
-            dest_arr + (dest_end + 1) * size,
-            (dest_arr_len - dest_end - 1) * size
-        );
-        return dest_arr_len - (dest_end - dest_ind) - 1;
-    }
-    return dest_arr_len;
-}
-
-int32_t __nac3_isinf(double x) {
-    return __builtin_isinf(x);
-}
-
-int32_t __nac3_isnan(double x) {
-    return __builtin_isnan(x);
-}
-
-double tgamma(double arg);
-
-double __nac3_gamma(double z) {
-    // Handling for denormals
-    //     | x                 | Python gamma(x) | C tgamma(x) |
-    // --- | ----------------- | --------------- | ----------- |
-    // (1) | nan               | nan             | nan         |
-    // (2) | -inf              | -inf            | inf         |
-    // (3) | inf               | inf             | inf         |
-    // (4) | 0.0               | inf             | inf         |
-    // (5) | {-1.0, -2.0, ...} | inf             | nan         |
-
-    // (1)-(3)
-    if (__builtin_isinf(z) || __builtin_isnan(z)) {
-        return z;
-    }
-
-    double v = tgamma(z);
-
-    // (4)-(5)
-    return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
-}
-
-double lgamma(double arg);
-
-double __nac3_gammaln(double x) {
-    // libm's handling of value overflows differs from scipy:
-    // - scipy: gammaln(-inf) -> -inf
-    // - libm : lgamma(-inf) -> inf
-
-    if (__builtin_isinf(x)) {
-        return x;
-    }
-
-    return lgamma(x);
-}
-
-double j0(double x);
-
-double __nac3_j0(double x) {
-    // libm's handling of value overflows differs from scipy:
-    // - scipy: j0(inf) -> nan
-    // - libm : j0(inf) -> 0.0
-
-    if (__builtin_isinf(x)) {
-        return __builtin_nan("");
-    }
-
-    return j0(x);
-}
-
-uint32_t __nac3_ndarray_calc_size(
-    const uint32_t* list_data,
-    uint32_t list_len,
-    uint32_t begin_idx,
-    uint32_t end_idx
-) {
-    return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
-}
-
-uint64_t __nac3_ndarray_calc_size64(
-    const uint64_t* list_data,
-    uint64_t list_len,
-    uint64_t begin_idx,
-    uint64_t end_idx
-) {
-    return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
-}
-
-void __nac3_ndarray_calc_nd_indices(
-    uint32_t index,
-    const uint32_t* dims,
-    uint32_t num_dims,
-    NDIndex* idxs
-) {
-    __nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
-}
-
-void __nac3_ndarray_calc_nd_indices64(
-    uint64_t index,
-    const uint64_t* dims,
-    uint64_t num_dims,
-    NDIndex* idxs
-) {
-    __nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
-}
-
-uint32_t __nac3_ndarray_flatten_index(
-    const uint32_t* dims,
-    uint32_t num_dims,
-    const NDIndex* indices,
-    uint32_t num_indices
-) {
-    return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
-}
-
-uint64_t __nac3_ndarray_flatten_index64(
-    const uint64_t* dims,
-    uint64_t num_dims,
-    const NDIndex* indices,
-    uint64_t num_indices
-) {
-    return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
-}
-
-void __nac3_ndarray_calc_broadcast(
-    const uint32_t* lhs_dims,
-    uint32_t lhs_ndims,
-    const uint32_t* rhs_dims,
-    uint32_t rhs_ndims,
-    uint32_t* out_dims
-) {
-    return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
-}
-
-void __nac3_ndarray_calc_broadcast64(
-    const uint64_t* lhs_dims,
-    uint64_t lhs_ndims,
-    const uint64_t* rhs_dims,
-    uint64_t rhs_ndims,
-    uint64_t* out_dims
-) {
-    return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
-}
-
-void __nac3_ndarray_calc_broadcast_idx(
-    const uint32_t* src_dims,
-    uint32_t src_ndims,
-    const NDIndex* in_idx,
-    NDIndex* out_idx
-) {
-    __nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
-}
-
-void __nac3_ndarray_calc_broadcast_idx64(
-    const uint64_t* src_dims,
-    uint64_t src_ndims,
-    const NDIndex* in_idx,
-    NDIndex* out_idx
-) {
-    __nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
-}
-}  // extern "C"
--- a/nac3core/src/codegen/irrt/mod.rs
+++ b/nac3core/src/codegen/irrt/mod.rs
@ -1,28 +1,29 @@
-use crate::typecheck::typedef::Type;
+use crate::{symbol_resolver::SymbolResolver, typecheck::typedef::Type};

 use super::{
    classes::{
        ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
-        TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
+        TypedArrayLikeAccessor, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
    },
-    llvm_intrinsics, CodeGenContext, CodeGenerator,
+    llvm_intrinsics,
+    macros::codegen_unreachable,
+    stmt::gen_for_callback_incrementing,
+    CodeGenContext, CodeGenerator,
 };
-use crate::codegen::classes::TypedArrayLikeAccessor;
-use crate::codegen::stmt::gen_for_callback_incrementing;
 use inkwell::{
    attributes::{Attribute, AttributeLoc},
    context::Context,
    memory_buffer::MemoryBuffer,
    module::Module,
    types::{BasicTypeEnum, IntType},
-    values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
+    values::{BasicValue, BasicValueEnum, CallSiteValue, FloatValue, IntValue},
    AddressSpace, IntPredicate,
 };
 use itertools::Either;
 use nac3parser::ast::Expr;

 #[must_use]
-pub fn load_irrt(ctx: &Context) -> Module {
+pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver) -> Module<'ctx> {
    let bitcode_buf = MemoryBuffer::create_from_memory_range(
        include_bytes!(concat!(env!("OUT_DIR"), "/irrt.bc")),
        "irrt_bitcode_buffer",
@ -38,6 +39,25 @@ pub fn load_irrt(ctx: &Context) -> Module {
        let function = irrt_mod.get_function(symbol).unwrap();
        function.add_attribute(AttributeLoc::Function, ctx.create_enum_attribute(inline_attr, 0));
    }
+
+    // Initialize all global `EXN_*` exception IDs in IRRT with the [`SymbolResolver`].
+    let exn_id_type = ctx.i32_type();
+    let errors = &[
+        ("EXN_INDEX_ERROR", "0:IndexError"),
+        ("EXN_VALUE_ERROR", "0:ValueError"),
+        ("EXN_ASSERTION_ERROR", "0:AssertionError"),
+        ("EXN_TYPE_ERROR", "0:TypeError"),
+    ];
+    for (irrt_name, symbol_name) in errors {
+        let exn_id = symbol_resolver.get_string_id(symbol_name);
+        let exn_id = exn_id_type.const_int(exn_id as u64, false).as_basic_value_enum();
+
+        let global = irrt_mod.get_global(irrt_name).unwrap_or_else(|| {
+            panic!("Exception symbol name '{irrt_name}' should exist in the IRRT LLVM module")
+        });
+        global.set_initializer(&exn_id);
+    }
+
    irrt_mod
 }

@ -55,7 +75,7 @@ pub fn integer_power<'ctx, G: CodeGenerator + ?Sized>(
        (64, 64, true) => "__nac3_int_exp_int64_t",
        (32, 32, false) => "__nac3_int_exp_uint32_t",
        (64, 64, false) => "__nac3_int_exp_uint64_t",
-        _ => unreachable!(),
+        _ => codegen_unreachable!(ctx),
    };
    let base_type = base.get_type();
    let pow_fun = ctx.module.get_function(symbol).unwrap_or_else(|| {
@ -441,7 +461,7 @@ pub fn list_slice_assignment<'ctx, G: CodeGenerator + ?Sized>(
                    BasicTypeEnum::IntType(t) => t.size_of(),
                    BasicTypeEnum::PointerType(t) => t.size_of(),
                    BasicTypeEnum::StructType(t) => t.size_of().unwrap(),
-                    _ => unreachable!(),
+                    _ => codegen_unreachable!(ctx),
                };
                ctx.builder.build_int_truncate_or_bit_cast(s, int32, "size").unwrap()
            }
@ -568,7 +588,8 @@ pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> Flo
 ///
 /// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
 /// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
-/// or [`None`] if starting from the first dimension and ending at the last dimension respectively.
+///   or [`None`] if starting from the first dimension and ending at the last dimension
+///   respectively.
 pub fn call_ndarray_calc_size<'ctx, G, Dims>(
    generator: &G,
    ctx: &CodeGenContext<'ctx, '_>,
@ -585,7 +606,7 @@ where
    let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
        32 => "__nac3_ndarray_calc_size",
        64 => "__nac3_ndarray_calc_size64",
-        bw => unreachable!("Unsupported size type bit width: {}", bw),
+        bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
    };
    let ndarray_calc_size_fn_t = llvm_usize.fn_type(
        &[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
@ -620,7 +641,7 @@ where
 ///
 /// * `index` - The index to compute the multidimensional index for.
 /// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
-/// `NDArray`.
+///   `NDArray`.
 pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
    generator: &G,
    ctx: &mut CodeGenContext<'ctx, '_>,
@ -636,7 +657,7 @@ pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
    let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
        32 => "__nac3_ndarray_calc_nd_indices",
        64 => "__nac3_ndarray_calc_nd_indices64",
-        bw => unreachable!("Unsupported size type bit width: {}", bw),
+        bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
    };
    let ndarray_calc_nd_indices_fn =
        ctx.module.get_function(ndarray_calc_nd_indices_fn_name).unwrap_or_else(|| {
@ -705,7 +726,7 @@ where
    let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
        32 => "__nac3_ndarray_flatten_index",
        64 => "__nac3_ndarray_flatten_index64",
-        bw => unreachable!("Unsupported size type bit width: {}", bw),
+        bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
    };
    let ndarray_flatten_index_fn =
        ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
@ -744,7 +765,7 @@ where
 /// multidimensional index.
 ///
 /// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
-/// `NDArray`.
+///   `NDArray`.
 /// * `indices` - The multidimensional index to compute the flattened index for.
 pub fn call_ndarray_flatten_index<'ctx, G, Index>(
    generator: &mut G,
@ -773,7 +794,7 @@ pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
    let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
        32 => "__nac3_ndarray_calc_broadcast",
        64 => "__nac3_ndarray_calc_broadcast64",
-        bw => unreachable!("Unsupported size type bit width: {}", bw),
+        bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
    };
    let ndarray_calc_broadcast_fn =
        ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
@ -798,6 +819,7 @@ 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| {
@ -892,7 +914,7 @@ pub fn call_ndarray_calc_broadcast_index<
    let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
        32 => "__nac3_ndarray_calc_broadcast_idx",
        64 => "__nac3_ndarray_calc_broadcast_idx64",
-        bw => unreachable!("Unsupported size type bit width: {}", bw),
+        bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
    };
    let ndarray_calc_broadcast_fn =
        ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
--- a/nac3core/src/codegen/llvm_intrinsics.rs
+++ b/nac3core/src/codegen/llvm_intrinsics.rs
@ -35,6 +35,40 @@ fn get_float_intrinsic_repr(ctx: &Context, ft: FloatType) -> &'static str {
    unreachable!()
 }

+/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
+/// intrinsic.
+pub fn call_va_start<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
+    const FN_NAME: &str = "llvm.va_start";
+
+    let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
+        let llvm_void = ctx.ctx.void_type();
+        let llvm_i8 = ctx.ctx.i8_type();
+        let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
+        let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
+
+        ctx.module.add_function(FN_NAME, fn_type, None)
+    });
+
+    ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
+}
+
+/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
+/// intrinsic.
+pub fn call_va_end<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
+    const FN_NAME: &str = "llvm.va_end";
+
+    let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
+        let llvm_void = ctx.ctx.void_type();
+        let llvm_i8 = ctx.ctx.i8_type();
+        let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
+        let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
+
+        ctx.module.add_function(FN_NAME, fn_type, None)
+    });
+
+    ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
+}
+
 /// Invokes the [`llvm.stacksave`](https://llvm.org/docs/LangRef.html#llvm-stacksave-intrinsic)
 /// intrinsic.
 pub fn call_stacksave<'ctx>(
@ -171,8 +205,9 @@ pub fn call_memcpy_generic<'ctx>(
 /// * `$ctx:ident`: Reference to the current Code Generation Context
 /// * `$name:ident`: Optional name to be assigned to the llvm build call (Option<&str>)
 /// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
-/// * `$map_fn:ident`: Mapping function to be applied on `BasicValue` (`BasicValue` -> Function Return Type)
-/// Use `BasicValueEnum::into_int_value` for Integer return type and `BasicValueEnum::into_float_value` for Float return type
+/// * `$map_fn:ident`: Mapping function to be applied on `BasicValue` (`BasicValue` -> Function Return Type).
+///   Use `BasicValueEnum::into_int_value` for Integer return type and
+///   `BasicValueEnum::into_float_value` for Float return type
 /// * `$llvm_ty:ident`: Type of first operand
 /// * `,($val:ident)*`: Comma separated list of operands
 macro_rules! generate_llvm_intrinsic_fn_body {
@ -188,8 +223,8 @@ macro_rules! generate_llvm_intrinsic_fn_body {
 /// Arguments:
 /// * `float/int`: Indicates the return and argument type of the function
 /// * `$fn_name:ident`: The identifier of the rust function to be generated
-/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
-/// Omit "llvm." prefix from the function name i.e. use "ceil" instead of "llvm.ceil"
+/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function.
+///   Omit "llvm." prefix from the function name i.e. use "ceil" instead of "llvm.ceil"
 /// * `$val:ident`: The operand for unary operations
 /// * `$val1:ident`, `$val2:ident`: The operands for binary operations
 macro_rules! generate_llvm_intrinsic_fn {
--- a/nac3core/src/codegen/mod.rs
+++ b/nac3core/src/codegen/mod.rs
@ -50,6 +50,22 @@ mod test;
 use concrete_type::{ConcreteType, ConcreteTypeEnum, ConcreteTypeStore};
 pub use generator::{CodeGenerator, DefaultCodeGenerator};

+mod macros {
+    /// Codegen-variant of [`std::unreachable`] which accepts an instance of [`CodeGenContext`] as
+    /// its first argument to provide Python source information to indicate the codegen location
+    /// causing the assertion.
+    macro_rules! codegen_unreachable {
+        ($ctx:expr $(,)?) => {
+            std::unreachable!("unreachable code while processing {}", &$ctx.current_loc)
+        };
+        ($ctx:expr, $($arg:tt)*) => {
+            std::unreachable!("unreachable code while processing {}: {}", &$ctx.current_loc, std::format!("{}", std::format_args!($($arg)+)))
+        };
+    }
+
+    pub(crate) use codegen_unreachable;
+}
+
 #[derive(Default)]
 pub struct StaticValueStore {
    pub lookup: HashMap<Vec<(usize, u64)>, usize>,
@ -68,6 +84,16 @@ pub struct CodeGenLLVMOptions {
    pub target: CodeGenTargetMachineOptions,
 }

+impl CodeGenLLVMOptions {
+    /// Creates a [`TargetMachine`] using the target options specified by this struct.
+    ///
+    /// See [`Target::create_target_machine`].
+    #[must_use]
+    pub fn create_target_machine(&self) -> Option<TargetMachine> {
+        self.target.create_target_machine(self.opt_level)
+    }
+}
+
 /// Additional options for code generation for the target machine.
 #[derive(Clone, Debug, Eq, PartialEq)]
 pub struct CodeGenTargetMachineOptions {
@ -338,6 +364,10 @@ impl WorkerRegistry {
        let mut builder = context.create_builder();
        let mut module = context.create_module(generator.get_name());

+        let target_machine = self.llvm_options.create_target_machine().unwrap();
+        module.set_data_layout(&target_machine.get_target_data().get_data_layout());
+        module.set_triple(&target_machine.get_triple());
+
        module.add_basic_value_flag(
            "Debug Info Version",
            inkwell::module::FlagBehavior::Warning,
@ -361,6 +391,10 @@ impl WorkerRegistry {
                    errors.insert(e);
                    // create a new empty module just to continue codegen and collect errors
                    module = context.create_module(&format!("{}_recover", generator.get_name()));
+
+                    let target_machine = self.llvm_options.create_target_machine().unwrap();
+                    module.set_data_layout(&target_machine.get_target_data().get_data_layout());
+                    module.set_triple(&target_machine.get_triple());
                }
            }
            *self.task_count.lock() -= 1;
@ -426,7 +460,7 @@ pub struct CodeGenTask {
 fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
    ctx: &'ctx Context,
    module: &Module<'ctx>,
-    generator: &mut G,
+    generator: &G,
    unifier: &mut Unifier,
    top_level: &TopLevelContext,
    type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
@ -520,8 +554,10 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
                };
                return ty;
            }
-            TTuple { ty } => {
+            TTuple { ty, is_vararg_ctx } => {
                // a struct with fields in the order present in the tuple
+                assert!(!is_vararg_ctx, "Tuples in vararg context must be instantiated with the correct number of arguments before calling get_llvm_type");
+
                let fields = ty
                    .iter()
                    .map(|ty| {
@ -551,7 +587,7 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
 fn get_llvm_abi_type<'ctx, G: CodeGenerator + ?Sized>(
    ctx: &'ctx Context,
    module: &Module<'ctx>,
-    generator: &mut G,
+    generator: &G,
    unifier: &mut Unifier,
    top_level: &TopLevelContext,
    type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
@ -560,11 +596,11 @@ fn get_llvm_abi_type<'ctx, G: CodeGenerator + ?Sized>(
 ) -> BasicTypeEnum<'ctx> {
    // If the type is used in the definition of a function, return `i1` instead of `i8` for ABI
    // consistency.
-    return if unifier.unioned(ty, primitives.bool) {
+    if unifier.unioned(ty, primitives.bool) {
        ctx.bool_type().into()
    } else {
        get_llvm_type(ctx, module, generator, unifier, top_level, type_cache, ty)
-    };
+    }
 }

 /// Whether `sret` is needed for a return value with type `ty`.
@ -589,6 +625,40 @@ fn need_sret(ty: BasicTypeEnum) -> bool {
    need_sret_impl(ty, true)
 }

+/// Returns the [`BasicTypeEnum`] representing a `va_list` struct for variadic arguments.
+fn get_llvm_valist_type<'ctx>(ctx: &'ctx Context, triple: &TargetTriple) -> BasicTypeEnum<'ctx> {
+    let triple = TargetMachine::normalize_triple(triple);
+    let triple = triple.as_str().to_str().unwrap();
+    let arch = triple.split('-').next().unwrap();
+
+    let llvm_pi8 = ctx.i8_type().ptr_type(AddressSpace::default());
+
+    // Referenced from parseArch() in llvm/lib/Support/Triple.cpp
+    match arch {
+        "i386" | "i486" | "i586" | "i686" | "riscv32" => {
+            ctx.i8_type().ptr_type(AddressSpace::default()).into()
+        }
+        "amd64" | "x86_64" | "x86_64h" => {
+            let llvm_i32 = ctx.i32_type();
+
+            let va_list_tag = ctx.opaque_struct_type("struct.__va_list_tag");
+            va_list_tag.set_body(
+                &[llvm_i32.into(), llvm_i32.into(), llvm_pi8.into(), llvm_pi8.into()],
+                false,
+            );
+            va_list_tag.into()
+        }
+        "armv7" => {
+            let va_list = ctx.opaque_struct_type("struct.__va_list");
+            va_list.set_body(&[llvm_pi8.into()], false);
+            va_list.into()
+        }
+        triple => {
+            todo!("Unsupported platform for varargs: {triple}")
+        }
+    }
+}
+
 /// Implementation for generating LLVM IR for a function.
 pub fn gen_func_impl<
    'ctx,
@ -700,6 +770,7 @@ pub fn gen_func_impl<
                name: arg.name,
                ty: task.store.to_unifier_type(&mut unifier, &primitives, arg.ty, &mut cache),
                default_value: arg.default_value.clone(),
+                is_vararg: arg.is_vararg,
            })
            .collect_vec(),
        task.store.to_unifier_type(&mut unifier, &primitives, *ret, &mut cache),
@ -722,7 +793,10 @@ pub fn gen_func_impl<
    let has_sret = ret_type.map_or(false, |ty| need_sret(ty));
    let mut params = args
        .iter()
+        .filter(|arg| !arg.is_vararg)
        .map(|arg| {
+            debug_assert!(!arg.is_vararg);
+
            get_llvm_abi_type(
                context,
                &module,
@ -741,9 +815,12 @@ pub fn gen_func_impl<
        params.insert(0, ret_type.unwrap().ptr_type(AddressSpace::default()).into());
    }

+    debug_assert!(matches!(args.iter().filter(|arg| arg.is_vararg).count(), 0..=1));
+    let vararg_arg = args.iter().find(|arg| arg.is_vararg);
+
    let fn_type = match ret_type {
-        Some(ret_type) if !has_sret => ret_type.fn_type(&params, false),
-        _ => context.void_type().fn_type(&params, false),
+        Some(ret_type) if !has_sret => ret_type.fn_type(&params, vararg_arg.is_some()),
+        _ => context.void_type().fn_type(&params, vararg_arg.is_some()),
    };

    let symbol = &task.symbol_name;
@ -773,7 +850,9 @@ pub fn gen_func_impl<

    let mut var_assignment = HashMap::new();
    let offset = u32::from(has_sret);
-    for (n, arg) in args.iter().enumerate() {
+
+    // Store non-vararg argument values into local variables
+    for (n, arg) in args.iter().enumerate().filter(|(_, arg)| !arg.is_vararg) {
        let param = fn_val.get_nth_param((n as u32) + offset).unwrap();
        let local_type = get_llvm_type(
            context,
@ -806,6 +885,8 @@ pub fn gen_func_impl<
        var_assignment.insert(arg.name, (alloca, None, 0));
    }

+    // TODO: Save vararg parameters as list
+
    let return_buffer = if has_sret {
        Some(fn_val.get_nth_param(0).unwrap().into_pointer_value())
    } else {
@ -1028,3 +1109,9 @@ fn gen_in_range_check<'ctx>(

    ctx.builder.build_int_compare(IntPredicate::SLT, lo, hi, "cmp").unwrap()
 }
+
+/// Returns the internal name for the `va_count` argument, used to indicate the number of arguments
+/// passed to the variadic function.
+fn get_va_count_arg_name(arg_name: StrRef) -> StrRef {
+    format!("__{}_va_count", &arg_name).into()
+}
--- a/nac3core/src/codegen/numpy.rs
+++ b/nac3core/src/codegen/numpy.rs
@ -12,6 +12,7 @@ use crate::{
            call_ndarray_calc_size,
        },
        llvm_intrinsics::{self, call_memcpy_generic},
+        macros::codegen_unreachable,
        stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
        CodeGenContext, CodeGenerator,
    },
@ -26,12 +27,15 @@ 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.
@ -86,6 +90,7 @@ where
    gen_for_callback_incrementing(
        generator,
        ctx,
+        None,
        llvm_usize.const_zero(),
        (shape_len, false),
        |generator, ctx, _, i| {
@ -131,6 +136,7 @@ where
    gen_for_callback_incrementing(
        generator,
        ctx,
+        None,
        llvm_usize.const_zero(),
        (shape_len, false),
        |generator, ctx, _, i| {
@ -157,7 +163,7 @@ where
 ///
 /// * `elem_ty` - The element type of the `NDArray`.
 /// * `shape` - The shape of the `NDArray`, represented am array of [`IntValue`]s.
-fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
+pub fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
    generator: &mut G,
    ctx: &mut CodeGenContext<'ctx, '_>,
    elem_ty: Type,
@ -252,9 +258,9 @@ fn ndarray_zero_value<'ctx, G: CodeGenerator + ?Sized>(
    } else if ctx.unifier.unioned(elem_ty, ctx.primitives.bool) {
        ctx.ctx.bool_type().const_zero().into()
    } else if ctx.unifier.unioned(elem_ty, ctx.primitives.str) {
-        ctx.gen_string(generator, "")
+        ctx.gen_string(generator, "").into()
    } else {
-        unreachable!()
+        codegen_unreachable!(ctx)
    }
 }

@ -280,9 +286,9 @@ fn ndarray_one_value<'ctx, G: CodeGenerator + ?Sized>(
    } else if ctx.unifier.unioned(elem_ty, ctx.primitives.bool) {
        ctx.ctx.bool_type().const_int(1, false).into()
    } else if ctx.unifier.unioned(elem_ty, ctx.primitives.str) {
-        ctx.gen_string(generator, "1")
+        ctx.gen_string(generator, "1").into()
    } else {
-        unreachable!()
+        codegen_unreachable!(ctx)
    }
 }

@ -350,7 +356,7 @@ fn call_ndarray_empty_impl<'ctx, G: CodeGenerator + ?Sized>(

            create_ndarray_const_shape(generator, ctx, elem_ty, &[shape_int])
        }
-        _ => unreachable!(),
+        _ => codegen_unreachable!(ctx),
    }
 }

@ -382,6 +388,7 @@ where
    gen_for_callback_incrementing(
        generator,
        ctx,
+        None,
        llvm_usize.const_zero(),
        (ndarray_num_elems, false),
        |generator, ctx, _, i| {
@ -620,7 +627,7 @@ fn call_ndarray_full_impl<'ctx, G: CodeGenerator + ?Sized>(
        } else if fill_value.is_int_value() || fill_value.is_float_value() {
            fill_value
        } else {
-            unreachable!()
+            codegen_unreachable!(ctx)
        };

        Ok(value)
@ -703,11 +710,12 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
            gen_for_range_callback(
                generator,
                ctx,
+                None,
                true,
                |_, _| Ok(llvm_usize.const_zero()),
                (|_, ctx| Ok(src_lst.load_size(ctx, None)), false),
                |_, _| Ok(llvm_usize.const_int(1, false)),
-                |generator, ctx, i| {
+                |generator, ctx, _, i| {
                    let offset = ctx.builder.build_int_mul(stride, i, "").unwrap();

                    let dst_ptr =
@ -943,11 +951,12 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
                    gen_for_range_callback(
                        generator,
                        ctx,
+                        None,
                        true,
                        |_, _| Ok(llvm_usize.const_zero()),
                        (|_, _| Ok(stop), false),
                        |_, _| Ok(llvm_usize.const_int(1, false)),
-                        |generator, ctx, _| {
+                        |generator, ctx, _, _| {
                            let plist_plist_i8 = make_llvm_list(llvm_plist_i8.into())
                                .ptr_type(AddressSpace::default());

@ -1063,15 +1072,15 @@ fn call_ndarray_eye_impl<'ctx, G: CodeGenerator + ?Sized>(
 /// Copies a slice of an [`NDArrayValue`] to another.
 ///
 /// - `dst_arr`: The [`NDArrayValue`] instance of the destination array. The `ndims` and `dim_sz`
-/// fields should be populated before calling this function.
+///   fields should be populated before calling this function.
 /// - `dst_slice_ptr`: The [`PointerValue`] to the first element of the currently processing
-/// dimensional slice in the destination array.
+///   dimensional slice in the destination array.
 /// - `src_arr`: The [`NDArrayValue`] instance of the source array.
 /// - `src_slice_ptr`: The [`PointerValue`] to the first element of the currently processing
-/// dimensional slice in the source array.
+///   dimensional slice in the source array.
 /// - `dim`: The index of the currently processing dimension.
 /// - `slices`: List of all slices, with the first element corresponding to the slice applicable to
-/// this dimension. The `start`/`stop` values of each slice must be non-negative indices.
+///   this dimension. The `start`/`stop` values of each slice must be non-negative indices.
 fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
    generator: &mut G,
    ctx: &mut CodeGenContext<'ctx, '_>,
@ -1086,13 +1095,17 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(

    // If there are no (remaining) slice expressions, memcpy the entire dimension
    if slices.is_empty() {
+        let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
+
        let stride = call_ndarray_calc_size(
            generator,
            ctx,
            &src_arr.dim_sizes(),
            (Some(llvm_usize.const_int(dim, false)), None),
        );
-        let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
+        let stride =
+            ctx.builder.build_int_z_extend_or_bit_cast(stride, sizeof_elem.get_type(), "").unwrap();
+
        let cpy_len = ctx.builder.build_int_mul(stride, sizeof_elem, "").unwrap();

        call_memcpy_generic(ctx, dst_slice_ptr, src_slice_ptr, cpy_len, llvm_i1.const_zero());
@ -1126,11 +1139,12 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
    gen_for_range_callback(
        generator,
        ctx,
+        None,
        false,
        |_, _| Ok(start),
        (|_, _| Ok(stop), true),
        |_, _| Ok(step),
-        |generator, ctx, src_i| {
+        |generator, ctx, _, src_i| {
            // Calculate the offset of the active slice
            let src_data_offset = ctx.builder.build_int_mul(src_stride, src_i, "").unwrap();
            let dst_i =
@ -1171,7 +1185,7 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
 ///
 /// * `elem_ty` - The element type of the `NDArray`.
 /// - `slices`: List of all slices, with the first element corresponding to the slice applicable to
-/// this dimension. The `start`/`stop` values of each slice must be positive indices.
+///   this dimension. The `start`/`stop` values of each slice must be positive indices.
 pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
    generator: &mut G,
    ctx: &mut CodeGenContext<'ctx, '_>,
@ -1243,6 +1257,7 @@ 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| {
@ -1335,7 +1350,7 @@ where
 ///
 /// * `elem_ty` - The element type of the `NDArray`.
 /// * `res` - The `ndarray` instance to write results into, or [`None`] if the result should be
-/// written to a new `ndarray`.
+///   written to a new `ndarray`.
 /// * `value_fn` - Function mapping the two input elements into the result.
 ///
 /// # Panic
@ -1422,7 +1437,7 @@ where
 ///
 /// * `elem_ty` - The element type of the `NDArray`.
 /// * `res` - The `ndarray` instance to write results into, or [`None`] if the result should be
-/// written to a new `ndarray`.
+///   written to a new `ndarray`.
 pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
    generator: &mut G,
    ctx: &mut CodeGenContext<'ctx, '_>,
@ -1647,6 +1662,7 @@ 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| {
@ -2005,7 +2021,7 @@ pub fn gen_ndarray_fill<'ctx>(
            } else if value_arg.is_int_value() || value_arg.is_float_value() {
                value_arg
            } else {
-                unreachable!()
+                codegen_unreachable!(ctx)
            };

            Ok(value)
@ -2014,3 +2030,497 @@ 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 {
+        codegen_unreachable!(
+            ctx,
+            "{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 dimensions 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])
+            }
+            _ => codegen_unreachable!(ctx),
+        }
+        .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 {
+        codegen_unreachable!(
+            ctx,
+            "{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(),
+                        _ => codegen_unreachable!(ctx),
+                    };
+                    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(),
+                        _ => codegen_unreachable!(ctx),
+                    };
+                    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())
+        }
+        _ => codegen_unreachable!(
+            ctx,
+            "{FN_NAME}() not supported for '{}'",
+            format!("'{}'", ctx.unifier.stringify(x1_ty))
+        ),
+    }
+}
--- a/nac3core/src/codegen/stmt.rs
+++ b/nac3core/src/codegen/stmt.rs
--- a/nac3core/src/codegen/test.rs
+++ b/nac3core/src/codegen/test.rs
@ -94,7 +94,7 @@ fn test_primitives() {
        "};
    let statements = parse_program(source, FileName::default()).unwrap();

-    let composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 32).0;
+    let composer = TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 32).0;
    let mut unifier = composer.unifier.clone();
    let primitives = composer.primitives_ty;
    let top_level = Arc::new(composer.make_top_level_context());
@ -109,8 +109,18 @@ fn test_primitives() {
    let threads = vec![DefaultCodeGenerator::new("test".into(), 32).into()];
    let signature = FunSignature {
        args: vec![
-            FuncArg { name: "a".into(), ty: primitives.int32, default_value: None },
-            FuncArg { name: "b".into(), ty: primitives.int32, default_value: None },
+            FuncArg {
+                name: "a".into(),
+                ty: primitives.int32,
+                default_value: None,
+                is_vararg: false,
+            },
+            FuncArg {
+                name: "b".into(),
+                ty: primitives.int32,
+                default_value: None,
+                is_vararg: false,
+            },
        ],
        ret: primitives.int32,
        vars: VarMap::new(),
@ -189,6 +199,8 @@ fn test_primitives() {
        let expected = indoc! {"
            ; ModuleID = 'test'
            source_filename = \"test\"
+            target datalayout = \"e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128\"
+            target triple = \"x86_64-unknown-linux-gnu\"

            ; Function Attrs: mustprogress nofree norecurse nosync nounwind readnone willreturn
            define i32 @testing(i32 %0, i32 %1) local_unnamed_addr #0 !dbg !4 {
@ -246,14 +258,19 @@ fn test_simple_call() {
        "};
    let statements_2 = parse_program(source_2, FileName::default()).unwrap();

-    let composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 32).0;
+    let composer = TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 32).0;
    let mut unifier = composer.unifier.clone();
    let primitives = composer.primitives_ty;
    let top_level = Arc::new(composer.make_top_level_context());
    unifier.top_level = Some(top_level.clone());

    let signature = FunSignature {
-        args: vec![FuncArg { name: "a".into(), ty: primitives.int32, default_value: None }],
+        args: vec![FuncArg {
+            name: "a".into(),
+            ty: primitives.int32,
+            default_value: None,
+            is_vararg: false,
+        }],
        ret: primitives.int32,
        vars: VarMap::new(),
    };
@ -368,6 +385,8 @@ fn test_simple_call() {
        let expected = indoc! {"
            ; ModuleID = 'test'
            source_filename = \"test\"
+            target datalayout = \"e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128\"
+            target triple = \"x86_64-unknown-linux-gnu\"

            ; Function Attrs: mustprogress nofree norecurse nosync nounwind readnone willreturn
            define i32 @testing(i32 %0) local_unnamed_addr #0 !dbg !5 {
--- a/nac3core/src/symbol_resolver.rs
+++ b/nac3core/src/symbol_resolver.rs
@ -78,14 +78,14 @@ impl SymbolValue {
            }
            Constant::Tuple(t) => {
                let expected_ty = unifier.get_ty(expected_ty);
-                let TypeEnum::TTuple { ty } = expected_ty.as_ref() else {
+                let TypeEnum::TTuple { ty, is_vararg_ctx } = expected_ty.as_ref() else {
                    return Err(format!(
                        "Expected {:?}, but got Tuple",
                        expected_ty.get_type_name()
                    ));
                };

-                assert_eq!(ty.len(), t.len());
+                assert!(*is_vararg_ctx || ty.len() == t.len());

                let elems = t
                    .iter()
@ -155,7 +155,7 @@ impl SymbolValue {
            SymbolValue::Bool(_) => primitives.bool,
            SymbolValue::Tuple(vs) => {
                let vs_tys = vs.iter().map(|v| v.get_type(primitives, unifier)).collect::<Vec<_>>();
-                unifier.add_ty(TypeEnum::TTuple { ty: vs_tys })
+                unifier.add_ty(TypeEnum::TTuple { ty: vs_tys, is_vararg_ctx: false })
            }
            SymbolValue::OptionSome(_) | SymbolValue::OptionNone => primitives.option,
        }
@ -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 }))
+                Ok(unifier.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: false }))
            } else {
                Err(HashSet::from(["Expected multiple elements for tuple".into()]))
            }
--- a/nac3core/src/toplevel/builtins.rs
+++ b/nac3core/src/toplevel/builtins.rs
@ -14,9 +14,7 @@ use strum::IntoEnumIterator;
 use crate::{
    codegen::{
        builtin_fns,
-        classes::{ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor},
-        expr::destructure_range,
-        irrt::*,
+        classes::{ProxyValue, RangeValue},
        numpy::*,
        stmt::exn_constructor,
    },
@ -45,10 +43,26 @@ 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),
@ -98,7 +112,7 @@ pub fn get_exn_constructor(
 /// * `name`: The name of the implemented NumPy function.
 /// * `ret_ty`: The return type of this function.
 /// * `param_ty`: The parameters accepted by this function, represented by a tuple of the
-/// [parameter type][Type] and the parameter symbol name.
+///   [parameter type][Type] and the parameter symbol name.
 /// * `codegen_callback`: A lambda generating LLVM IR for the implementation of this function.
 fn create_fn_by_codegen(
    unifier: &mut Unifier,
@ -114,7 +128,12 @@ 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 })
+                .map(|p| FuncArg {
+                    name: p.1.into(),
+                    ty: p.0,
+                    default_value: None,
+                    is_vararg: false,
+                })
                .collect(),
            ret: ret_ty,
            vars: var_map.clone(),
@ -133,7 +152,7 @@ fn create_fn_by_codegen(
 /// * `name`: The name of the implemented NumPy function.
 /// * `ret_ty`: The return type of this function.
 /// * `param_ty`: The parameters accepted by this function, represented by a tuple of the
-/// [parameter type][Type] and the parameter symbol name.
+///   [parameter type][Type] and the parameter symbol name.
 /// * `intrinsic_fn`: The fully-qualified name of the LLVM intrinsic function.
 fn create_fn_by_intrinsic(
    unifier: &mut Unifier,
@ -195,10 +214,10 @@ fn create_fn_by_intrinsic(
 /// * `name`: The name of the implemented NumPy function.
 /// * `ret_ty`: The return type of this function.
 /// * `param_ty`: The parameters accepted by this function, represented by a tuple of the
-/// [parameter type][Type] and the parameter symbol name.
+///   [parameter type][Type] and the parameter symbol name.
 /// * `extern_fn`: The fully-qualified name of the extern function used as the implementation.
 /// * `attrs`: The list of attributes to apply to this function declaration. Note that `nounwind` is
-/// already implied by the C ABI.
+///   already implied by the C ABI.
 fn create_fn_by_extern(
    unifier: &mut Unifier,
    var_map: &VarMap,
@ -346,8 +365,8 @@ 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::OptionIsSome.simple_name().into()).unwrap(),
-                    *fields.get(&PrimDef::OptionUnwrap.simple_name().into()).unwrap(),
+                    *fields.get(&PrimDef::FunOptionIsSome.simple_name().into()).unwrap(),
+                    *fields.get(&PrimDef::FunOptionUnwrap.simple_name().into()).unwrap(),
                    iter_type_vars(params).next().unwrap(),
                )
            } else {
@ -362,9 +381,9 @@ 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::NDArrayCopy.simple_name().into()).unwrap();
+            *ndarray_fields.get(&PrimDef::FunNDArrayCopy.simple_name().into()).unwrap();
        let ndarray_fill_ty =
-            *ndarray_fields.get(&PrimDef::NDArrayFill.simple_name().into()).unwrap();
+            *ndarray_fields.get(&PrimDef::FunNDArrayFill.simple_name().into()).unwrap();

        let num_ty = unifier.get_fresh_var_with_range(
            &[int32, int64, float, boolean, uint32, uint64],
@ -464,14 +483,14 @@ impl<'a> BuiltinBuilder<'a> {
            PrimDef::Exception => self.build_exception_class_related(prim),

            PrimDef::Option
-            | PrimDef::OptionIsSome
-            | PrimDef::OptionIsNone
-            | PrimDef::OptionUnwrap
+            | PrimDef::FunOptionIsSome
+            | PrimDef::FunOptionIsNone
+            | PrimDef::FunOptionUnwrap
            | PrimDef::FunSome => self.build_option_class_related(prim),

            PrimDef::List => self.build_list_class_related(prim),

-            PrimDef::NDArray | PrimDef::NDArrayCopy | PrimDef::NDArrayFill => {
+            PrimDef::NDArray | PrimDef::FunNDArrayCopy | PrimDef::FunNDArrayFill => {
                self.build_ndarray_class_related(prim)
            }

@ -556,6 +575,22 @@ 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) {
@ -613,17 +648,24 @@ 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 },
+                    FuncArg {
+                        name: "start".into(),
+                        ty: int32,
+                        default_value: None,
+                        is_vararg: false,
+                    },
                    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,
@ -794,9 +836,9 @@ impl<'a> BuiltinBuilder<'a> {
            prim,
            &[
                PrimDef::Option,
-                PrimDef::OptionIsSome,
-                PrimDef::OptionIsNone,
-                PrimDef::OptionUnwrap,
+                PrimDef::FunOptionIsSome,
+                PrimDef::FunOptionIsNone,
+                PrimDef::FunOptionUnwrap,
                PrimDef::FunSome,
            ],
        );
@ -809,9 +851,9 @@ impl<'a> BuiltinBuilder<'a> {
                fields: Vec::default(),
                attributes: Vec::default(),
                methods: vec![
-                    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),
+                    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),
                ],
                ancestors: vec![TypeAnnotation::CustomClass {
                    id: prim.id(),
@ -822,7 +864,7 @@ impl<'a> BuiltinBuilder<'a> {
                loc: None,
            },

-            PrimDef::OptionUnwrap => TopLevelDef::Function {
+            PrimDef::FunOptionUnwrap => TopLevelDef::Function {
                name: prim.name().into(),
                simple_name: prim.simple_name().into(),
                signature: self.unwrap_ty.0,
@ -836,7 +878,7 @@ impl<'a> BuiltinBuilder<'a> {
                loc: None,
            },

-            PrimDef::OptionIsNone | PrimDef::OptionIsSome => TopLevelDef::Function {
+            PrimDef::FunOptionIsNone | PrimDef::FunOptionIsSome => TopLevelDef::Function {
                name: prim.name().to_string(),
                simple_name: prim.simple_name().into(),
                signature: self.is_some_ty.0,
@ -857,10 +899,10 @@ impl<'a> BuiltinBuilder<'a> {
                        };

                        let returned_int = match prim {
-                            PrimDef::OptionIsNone => {
+                            PrimDef::FunOptionIsNone => {
                                ctx.builder.build_is_null(ptr, prim.simple_name())
                            }
-                            PrimDef::OptionIsSome => {
+                            PrimDef::FunOptionIsSome => {
                                ctx.builder.build_is_not_null(ptr, prim.simple_name())
                            }
                            _ => unreachable!(),
@ -879,6 +921,7 @@ 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]),
@ -933,7 +976,7 @@ impl<'a> BuiltinBuilder<'a> {
    fn build_ndarray_class_related(&self, prim: PrimDef) -> TopLevelDef {
        debug_assert_prim_is_allowed(
            prim,
-            &[PrimDef::NDArray, PrimDef::NDArrayCopy, PrimDef::NDArrayFill],
+            &[PrimDef::NDArray, PrimDef::FunNDArrayCopy, PrimDef::FunNDArrayFill],
        );

        match prim {
@ -944,8 +987,8 @@ impl<'a> BuiltinBuilder<'a> {
                fields: Vec::default(),
                attributes: Vec::default(),
                methods: vec![
-                    Self::create_method(PrimDef::NDArrayCopy, self.ndarray_copy_ty.0),
-                    Self::create_method(PrimDef::NDArrayFill, self.ndarray_fill_ty.0),
+                    Self::create_method(PrimDef::FunNDArrayCopy, self.ndarray_copy_ty.0),
+                    Self::create_method(PrimDef::FunNDArrayFill, self.ndarray_fill_ty.0),
                ],
                ancestors: Vec::default(),
                constructor: None,
@ -953,7 +996,7 @@ impl<'a> BuiltinBuilder<'a> {
                loc: None,
            },

-            PrimDef::NDArrayCopy => TopLevelDef::Function {
+            PrimDef::FunNDArrayCopy => TopLevelDef::Function {
                name: prim.name().into(),
                simple_name: prim.simple_name().into(),
                signature: self.ndarray_copy_ty.0,
@ -970,7 +1013,7 @@ impl<'a> BuiltinBuilder<'a> {
                loc: None,
            },

-            PrimDef::NDArrayFill => TopLevelDef::Function {
+            PrimDef::FunNDArrayFill => TopLevelDef::Function {
                name: prim.name().into(),
                simple_name: prim.simple_name().into(),
                signature: self.ndarray_fill_ty.0,
@ -1013,6 +1056,7 @@ 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(),
@ -1232,16 +1276,23 @@ 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 },
+                            FuncArg {
+                                name: "object".into(),
+                                ty: tv.ty,
+                                default_value: None,
+                                is_vararg: false,
+                            },
                            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,
@ -1283,17 +1334,24 @@ 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 },
+                            FuncArg {
+                                name: "N".into(),
+                                ty: int32,
+                                default_value: None,
+                                is_vararg: false,
+                            },
                            // 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,
@ -1337,7 +1395,12 @@ 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 }],
+                args: vec![FuncArg {
+                    name: "s".into(),
+                    ty: str,
+                    default_value: None,
+                    is_vararg: false,
+                }],
                ret: str,
                vars: VarMap::default(),
            })),
@ -1401,31 +1464,21 @@ impl<'a> BuiltinBuilder<'a> {
    fn build_len_function(&mut self) -> TopLevelDef {
        let prim = PrimDef::FunLen;

-        let PrimitiveStore { uint64, int32, .. } = *self.primitives;
+        // Type handled in [`Inferencer::try_fold_special_call`]
+        let arg_tvar = self.unifier.get_dummy_var();

-        let tvar = self.unifier.get_fresh_var(Some("L".into()), None);
-        let list = self
-            .unifier
-            .subst(
-                self.primitives.list,
-                &into_var_map([TypeVar { id: self.list_tvar.id, ty: tvar.ty }]),
-            )
-            .unwrap();
-        let ndims = self.unifier.get_fresh_const_generic_var(uint64, Some("N".into()), None);
-        let ndarray = make_ndarray_ty(self.unifier, self.primitives, Some(tvar.ty), Some(ndims.ty));
-
-        let arg_ty = self.unifier.get_fresh_var_with_range(
-            &[list, ndarray, self.primitives.range],
-            Some("I".into()),
-            None,
-        );
        TopLevelDef::Function {
            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 }],
-                ret: int32,
-                vars: into_var_map([tvar, arg_ty]),
+                args: vec![FuncArg {
+                    name: "obj".into(),
+                    ty: arg_tvar.ty,
+                    default_value: None,
+                    is_vararg: false,
+                }],
+                ret: self.primitives.int32,
+                vars: into_var_map([arg_tvar]),
            })),
            var_id: Vec::default(),
            instance_to_symbol: HashMap::default(),
@ -1433,86 +1486,10 @@ impl<'a> BuiltinBuilder<'a> {
            resolver: None,
            codegen_callback: Some(Arc::new(GenCall::new(Box::new(
                move |ctx, _, fun, args, generator| {
-                    let range_ty = ctx.primitives.range;
                    let arg_ty = fun.0.args[0].ty;
                    let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
-                    Ok(if ctx.unifier.unioned(arg_ty, range_ty) {
-                        let arg = RangeValue::from_ptr_val(arg.into_pointer_value(), Some("range"));
-                        let (start, end, step) = destructure_range(ctx, arg);
-                        Some(calculate_len_for_slice_range(generator, ctx, start, end, step).into())
-                    } else {
-                        match &*ctx.unifier.get_ty_immutable(arg_ty) {
-                            TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
-                                let int32 = ctx.ctx.i32_type();
-                                let zero = int32.const_zero();
-                                let len = ctx
-                                    .build_gep_and_load(
-                                        arg.into_pointer_value(),
-                                        &[zero, int32.const_int(1, false)],
-                                        None,
-                                    )
-                                    .into_int_value();
-                                if len.get_type().get_bit_width() == 32 {
-                                    Some(len.into())
-                                } else {
-                                    Some(
-                                        ctx.builder
-                                            .build_int_truncate(len, int32, "len2i32")
-                                            .map(Into::into)
-                                            .unwrap(),
-                                    )
-                                }
-                            }
-                            TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
-                                let llvm_i32 = ctx.ctx.i32_type();
-                                let llvm_usize = generator.get_size_type(ctx.ctx);

-                                let arg = NDArrayValue::from_ptr_val(
-                                    arg.into_pointer_value(),
-                                    llvm_usize,
-                                    None,
-                                );
-
-                                let ndims = arg.dim_sizes().size(ctx, generator);
-                                ctx.make_assert(
-                                    generator,
-                                    ctx.builder
-                                        .build_int_compare(
-                                            IntPredicate::NE,
-                                            ndims,
-                                            llvm_usize.const_zero(),
-                                            "",
-                                        )
-                                        .unwrap(),
-                                    "0:TypeError",
-                                    &format!("{name}() of unsized object", name = prim.name()),
-                                    [None, None, None],
-                                    ctx.current_loc,
-                                );
-
-                                let len = unsafe {
-                                    arg.dim_sizes().get_typed_unchecked(
-                                        ctx,
-                                        generator,
-                                        &llvm_usize.const_zero(),
-                                        None,
-                                    )
-                                };
-
-                                if len.get_type().get_bit_width() == 32 {
-                                    Some(len.into())
-                                } else {
-                                    Some(
-                                        ctx.builder
-                                            .build_int_truncate(len, llvm_i32, "len")
-                                            .map(Into::into)
-                                            .unwrap(),
-                                    )
-                                }
-                            }
-                            _ => unreachable!(),
-                        }
-                    })
+                    builtin_fns::call_len(generator, ctx, (arg_ty, arg)).map(|ret| Some(ret.into()))
                },
            )))),
            loc: None,
@ -1528,8 +1505,18 @@ 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 },
-                    FuncArg { name: "n".into(), ty: self.num_ty.ty, default_value: None },
+                    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,
+                    },
                ],
                ret: self.num_ty.ty,
                vars: self.num_var_map.clone(),
@ -1611,7 +1598,12 @@ 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 })
+                    .map(|p| FuncArg {
+                        name: p.1.into(),
+                        ty: p.0,
+                        default_value: None,
+                        is_vararg: false,
+                    })
                    .collect(),
                ret: ret_ty.ty,
                vars: into_var_map([x1_ty, x2_ty, ret_ty]),
@ -1652,6 +1644,7 @@ 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(),
@ -1840,7 +1833,12 @@ 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 })
+                    .map(|p| FuncArg {
+                        name: p.1.into(),
+                        ty: p.0,
+                        default_value: None,
+                        is_vararg: false,
+                    })
                    .collect(),
                ret: ret_ty.ty,
                vars: into_var_map([x1_ty, x2_ty, ret_ty]),
@ -1874,6 +1872,207 @@ 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())
    }
--- a/nac3core/src/toplevel/composer.rs
+++ b/nac3core/src/toplevel/composer.rs
@ -44,12 +44,27 @@ pub struct TopLevelComposer {
    pub size_t: u32,
 }

+/// The specification for a builtin function, consisting of the function name, the function
+/// signature, and a [code generation callback][`GenCall`].
+pub type BuiltinFuncSpec = (StrRef, FunSignature, Arc<GenCall>);
+
+/// A function that creates a [`BuiltinFuncSpec`] using the provided [`PrimitiveStore`] and
+/// [`Unifier`].
+pub type BuiltinFuncCreator = dyn Fn(&PrimitiveStore, &mut Unifier) -> BuiltinFuncSpec;
+
 impl TopLevelComposer {
    /// return a composer and things to make a "primitive" symbol resolver, so that the symbol
-    /// resolver can later figure out primitive type definitions when passed a primitive type name
+    /// resolver can later figure out primitive tye definitions when passed a primitive type name
+    ///
+    /// `lateinit_builtins` are specifically for the ARTIQ module. Since the [`Unifier`] instance
+    /// used to create builtin functions do not persist until method compilation, any types
+    /// created (e.g. [`TypeEnum::TVar`]) also do not persist. Those functions should be instead put
+    /// in `lateinit_builtins`, where they will be instantiated with the [`Unifier`] instance used
+    /// for method compilation.
    #[must_use]
    pub fn new(
-        builtins: Vec<(StrRef, FunSignature, Arc<GenCall>)>,
+        builtins: Vec<BuiltinFuncSpec>,
+        lateinit_builtins: Vec<Box<BuiltinFuncCreator>>,
        core_config: ComposerConfig,
        size_t: u32,
    ) -> (Self, HashMap<StrRef, DefinitionId>, HashMap<StrRef, Type>) {
@ -119,7 +134,13 @@ impl TopLevelComposer {
            }
        }

-        for (name, sig, codegen_callback) in builtins {
+        // Materialize lateinit_builtins, now that the unifier is ready
+        let lateinit_builtins = lateinit_builtins
+            .into_iter()
+            .map(|builtin| builtin(&primitives_ty, &mut unifier))
+            .collect_vec();
+
+        for (name, sig, codegen_callback) in builtins.into_iter().chain(lateinit_builtins) {
            let fun_sig = unifier.add_ty(TypeEnum::TFunc(sig));
            builtin_ty.insert(name, fun_sig);
            builtin_id.insert(name, DefinitionId(definition_ast_list.len()));
@ -860,7 +881,73 @@ impl TopLevelComposer {
            let resolver = &**resolver;

            let mut function_var_map = VarMap::new();
-            let arg_types = {
+
+            let vararg = args
+                .vararg
+                .as_ref()
+                .map(|vararg| -> Result<_, HashSet<String>> {
+                    let vararg = vararg.as_ref();
+
+                    let annotation = vararg
+                        .node
+                        .annotation
+                        .as_ref()
+                        .ok_or_else(|| {
+                            HashSet::from([format!(
+                                "function parameter `{}` needs type annotation at {}",
+                                vararg.node.arg, vararg.location
+                            )])
+                        })?
+                        .as_ref();
+
+                    let type_annotation = parse_ast_to_type_annotation_kinds(
+                        resolver,
+                        temp_def_list.as_slice(),
+                        unifier,
+                        primitives_store,
+                        annotation,
+                        // NOTE: since only class need this, for function
+                        // it should be fine to be empty map
+                        HashMap::new(),
+                    )?;
+
+                    let type_vars_within =
+                        get_type_var_contained_in_type_annotation(&type_annotation)
+                            .into_iter()
+                            .map(|x| -> Result<TypeVar, HashSet<String>> {
+                                let TypeAnnotation::TypeVar(ty) = x else {
+                                    unreachable!("must be type var annotation kind")
+                                };
+
+                                let id = Self::get_var_id(ty, unifier)?;
+                                Ok(TypeVar { id, ty })
+                            })
+                            .collect::<Result<Vec<_>, _>>()?;
+                    for var in type_vars_within {
+                        if let Some(prev_ty) = function_var_map.insert(var.id, var.ty) {
+                            // if already have the type inserted, make sure they are the same thing
+                            assert_eq!(prev_ty, var.ty);
+                        }
+                    }
+
+                    let ty = get_type_from_type_annotation_kinds(
+                        temp_def_list.as_ref(),
+                        unifier,
+                        primitives_store,
+                        &type_annotation,
+                        &mut None,
+                    )?;
+
+                    Ok(FuncArg {
+                        name: vararg.node.arg,
+                        ty,
+                        default_value: Some(SymbolValue::Tuple(Vec::default())),
+                        is_vararg: true,
+                    })
+                })
+                .transpose()?;
+
+            let mut arg_types = {
                // make sure no duplicate parameter
                let mut defined_parameter_name: HashSet<_> = HashSet::new();
                for x in &args.args {
@ -961,11 +1048,18 @@ impl TopLevelComposer {
                                    v
                                }),
                            },
+                            is_vararg: false,
                        })
                    })
                    .collect::<Result<Vec<_>, _>>()?
            };

+            if let Some(vararg) = vararg {
+                arg_types.push(vararg);
+            };
+
+            let arg_types = arg_types;
+
            let return_ty = {
                if let Some(returns) = returns {
                    let return_ty_annotation = {
@ -1217,6 +1311,7 @@ impl TopLevelComposer {
                                            })
                                        }
                                    },
+                                    is_vararg: false,
                                };
                                // push the dummy type and the type annotation
                                // into the list for later unification
@ -1642,21 +1737,25 @@ impl TopLevelComposer {
                                name: "msg".into(),
                                ty: string,
                                default_value: Some(SymbolValue::Str(String::new())),
+                                is_vararg: false,
                            },
                            FuncArg {
                                name: "param0".into(),
                                ty: int64,
                                default_value: Some(SymbolValue::I64(0)),
+                                is_vararg: false,
                            },
                            FuncArg {
                                name: "param1".into(),
                                ty: int64,
                                default_value: Some(SymbolValue::I64(0)),
+                                is_vararg: false,
                            },
                            FuncArg {
                                name: "param2".into(),
                                ty: int64,
                                default_value: Some(SymbolValue::I64(0)),
+                                is_vararg: false,
                            },
                        ],
                        ret: self_type,
@ -1723,13 +1822,12 @@ impl TopLevelComposer {
                        if *name != init_str_id {
                            unreachable!("must be init function here")
                        }
-                        // let all_inited = Self::get_all_assigned_field(body.as_slice())?;
+
                        let all_inited = Self::get_all_assigned_field(
+                            object_id.0,
                            definition_ast_list,
-                            def,
                            body.as_slice(),
                        )?;
-
                        for (f, _, _) in fields {
                            if !all_inited.contains(f) {
                                return Err(HashSet::from([
@ -1872,6 +1970,7 @@ impl TopLevelComposer {
                                name: a.name,
                                ty: unifier.subst(a.ty, &subst).unwrap_or(a.ty),
                                default_value: a.default_value.clone(),
+                                is_vararg: false,
                            })
                            .collect_vec()
                    };
--- a/nac3core/src/toplevel/helper.rs
+++ b/nac3core/src/toplevel/helper.rs
@ -28,17 +28,22 @@ pub enum PrimDef {
    List,
    NDArray,

-    // Member Functions
-    OptionIsSome,
-    OptionIsNone,
-    OptionUnwrap,
-    NDArrayCopy,
-    NDArrayFill,
-    FunInt32,
-    FunInt64,
-    FunUInt32,
-    FunUInt64,
-    FunFloat,
+    // Option methods
+    FunOptionIsSome,
+    FunOptionIsNone,
+    FunOptionUnwrap,
+
+    // Option-related functions
+    FunSome,
+
+    // NDArray methods
+    FunNDArrayCopy,
+    FunNDArrayFill,
+
+    // Range methods
+    FunRangeInit,
+
+    // NumPy factory functions
    FunNpNDArray,
    FunNpEmpty,
    FunNpZeros,
@ -47,28 +52,17 @@ pub enum PrimDef {
    FunNpArray,
    FunNpEye,
    FunNpIdentity,
-    FunRound,
-    FunRound64,
+
+    // Miscellaneous NumPy & SciPy functions
    FunNpRound,
-    FunRangeInit,
-    FunStr,
-    FunBool,
-    FunFloor,
-    FunFloor64,
    FunNpFloor,
-    FunCeil,
-    FunCeil64,
    FunNpCeil,
-    FunLen,
-    FunMin,
    FunNpMin,
    FunNpMinimum,
    FunNpArgmin,
-    FunMax,
    FunNpMax,
    FunNpMaximum,
    FunNpArgmax,
-    FunAbs,
    FunNpIsNan,
    FunNpIsInf,
    FunNpSin,
@ -106,9 +100,40 @@ pub enum PrimDef {
    FunNpLdExp,
    FunNpHypot,
    FunNpNextAfter,
+    FunNpTranspose,
+    FunNpReshape,

-    // Top-Level Functions
-    FunSome,
+    // Linalg functions
+    FunNpDot,
+    FunNpLinalgCholesky,
+    FunNpLinalgQr,
+    FunNpLinalgSvd,
+    FunNpLinalgInv,
+    FunNpLinalgPinv,
+    FunNpLinalgMatrixPower,
+    FunNpLinalgDet,
+    FunSpLinalgLu,
+    FunSpLinalgSchur,
+    FunSpLinalgHessenberg,
+
+    // Miscellaneous Python & NAC3 functions
+    FunInt32,
+    FunInt64,
+    FunUInt32,
+    FunUInt64,
+    FunFloat,
+    FunRound,
+    FunRound64,
+    FunStr,
+    FunBool,
+    FunFloor,
+    FunFloor64,
+    FunCeil,
+    FunCeil64,
+    FunLen,
+    FunMin,
+    FunMax,
+    FunAbs,
 }

 /// Associated details of a [`PrimDef`]
@ -174,6 +199,7 @@ 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),
@ -185,18 +211,25 @@ 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),
-            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),
+
+            // Option methods
+            PrimDef::FunOptionIsSome => fun("Option.is_some", Some("is_some")),
+            PrimDef::FunOptionIsNone => fun("Option.is_none", Some("is_none")),
+            PrimDef::FunOptionUnwrap => fun("Option.unwrap", Some("unwrap")),
+
+            // Option-related functions
+            PrimDef::FunSome => fun("Some", None),
+
+            // NDArray methods
+            PrimDef::FunNDArrayCopy => fun("ndarray.copy", Some("copy")),
+            PrimDef::FunNDArrayFill => fun("ndarray.fill", Some("fill")),
+
+            // Range methods
+            PrimDef::FunRangeInit => fun("range.__init__", Some("__init__")),
+
+            // NumPy factory functions
            PrimDef::FunNpNDArray => fun("np_ndarray", None),
            PrimDef::FunNpEmpty => fun("np_empty", None),
            PrimDef::FunNpZeros => fun("np_zeros", None),
@ -205,28 +238,17 @@ impl PrimDef {
            PrimDef::FunNpArray => fun("np_array", None),
            PrimDef::FunNpEye => fun("np_eye", None),
            PrimDef::FunNpIdentity => fun("np_identity", None),
-            PrimDef::FunRound => fun("round", None),
-            PrimDef::FunRound64 => fun("round64", None),
+
+            // Miscellaneous NumPy & SciPy functions
            PrimDef::FunNpRound => fun("np_round", None),
-            PrimDef::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),
@ -264,7 +286,40 @@ impl PrimDef {
            PrimDef::FunNpLdExp => fun("np_ldexp", None),
            PrimDef::FunNpHypot => fun("np_hypot", None),
            PrimDef::FunNpNextAfter => fun("np_nextafter", None),
-            PrimDef::FunSome => fun("Some", None),
+            PrimDef::FunNpTranspose => fun("np_transpose", None),
+            PrimDef::FunNpReshape => fun("np_reshape", None),
+
+            // Linalg functions
+            PrimDef::FunNpDot => fun("np_dot", None),
+            PrimDef::FunNpLinalgCholesky => fun("np_linalg_cholesky", None),
+            PrimDef::FunNpLinalgQr => fun("np_linalg_qr", None),
+            PrimDef::FunNpLinalgSvd => fun("np_linalg_svd", None),
+            PrimDef::FunNpLinalgInv => fun("np_linalg_inv", None),
+            PrimDef::FunNpLinalgPinv => fun("np_linalg_pinv", None),
+            PrimDef::FunNpLinalgMatrixPower => fun("np_linalg_matrix_power", None),
+            PrimDef::FunNpLinalgDet => fun("np_linalg_det", None),
+            PrimDef::FunSpLinalgLu => fun("sp_linalg_lu", None),
+            PrimDef::FunSpLinalgSchur => fun("sp_linalg_schur", None),
+            PrimDef::FunSpLinalgHessenberg => fun("sp_linalg_hessenberg", None),
+
+            // Miscellaneous Python & NAC3 functions
+            PrimDef::FunInt32 => fun("int32", None),
+            PrimDef::FunInt64 => fun("int64", None),
+            PrimDef::FunUInt32 => fun("uint32", None),
+            PrimDef::FunUInt64 => fun("uint64", None),
+            PrimDef::FunFloat => fun("float", None),
+            PrimDef::FunRound => fun("round", None),
+            PrimDef::FunRound64 => fun("round64", None),
+            PrimDef::FunStr => fun("str", None),
+            PrimDef::FunBool => fun("bool", None),
+            PrimDef::FunFloor => fun("floor", None),
+            PrimDef::FunFloor64 => fun("floor64", None),
+            PrimDef::FunCeil => fun("ceil", None),
+            PrimDef::FunCeil64 => fun("ceil64", None),
+            PrimDef::FunLen => fun("len", None),
+            PrimDef::FunMin => fun("min", None),
+            PrimDef::FunMax => fun("max", None),
+            PrimDef::FunAbs => fun("abs", None),
        }
    }
 }
@ -415,9 +470,9 @@ impl TopLevelComposer {
        let option = unifier.add_ty(TypeEnum::TObj {
            obj_id: PrimDef::Option.id(),
            fields: vec![
-                (PrimDef::OptionIsSome.simple_name().into(), (is_some_type_fun_ty, true)),
-                (PrimDef::OptionIsNone.simple_name().into(), (is_some_type_fun_ty, true)),
-                (PrimDef::OptionUnwrap.simple_name().into(), (unwrap_fun_ty, true)),
+                (PrimDef::FunOptionIsSome.simple_name().into(), (is_some_type_fun_ty, true)),
+                (PrimDef::FunOptionIsNone.simple_name().into(), (is_some_type_fun_ty, true)),
+                (PrimDef::FunOptionUnwrap.simple_name().into(), (unwrap_fun_ty, true)),
            ]
            .into_iter()
            .collect::<HashMap<_, _>>(),
@ -451,6 +506,7 @@ impl TopLevelComposer {
                name: "value".into(),
                ty: ndarray_dtype_tvar.ty,
                default_value: None,
+                is_vararg: false,
            }],
            ret: none,
            vars: into_var_map([ndarray_dtype_tvar, ndarray_ndims_tvar]),
@ -458,8 +514,8 @@ impl TopLevelComposer {
        let ndarray = unifier.add_ty(TypeEnum::TObj {
            obj_id: PrimDef::NDArray.id(),
            fields: Mapping::from([
-                (PrimDef::NDArrayCopy.simple_name().into(), (ndarray_copy_fun_ty, true)),
-                (PrimDef::NDArrayFill.simple_name().into(), (ndarray_fill_fun_ty, true)),
+                (PrimDef::FunNDArrayCopy.simple_name().into(), (ndarray_copy_fun_ty, true)),
+                (PrimDef::FunNDArrayFill.simple_name().into(), (ndarray_fill_fun_ty, true)),
            ]),
            params: into_var_map([ndarray_dtype_tvar, ndarray_ndims_tvar]),
        });
@ -678,9 +734,14 @@ impl TopLevelComposer {
        )
    }

+    /// This function returns the fields that have been initialized in the `__init__` function of a class
+    /// The function takes as input:
+    ///  * `class_id`: The `object_id` of the class whose function is being evaluated (check `TopLevelDef::Class`)
+    ///  * `definition_ast_list`: A list of ast definitions and statements defined in `TopLevelComposer`
+    ///  * `stmts`: The body of function being parsed. Each statment is analyzed to check varaible initialization statements
    pub fn get_all_assigned_field(
+        class_id: usize,
        definition_ast_list: &Vec<DefAst>,
-        def: &Arc<RwLock<TopLevelDef>>,
        stmts: &[Stmt<()>],
    ) -> Result<HashSet<StrRef>, HashSet<String>> {
        let mut result = HashSet::new();
@ -719,150 +780,139 @@ impl TopLevelComposer {
                ast::StmtKind::For { body, orelse, .. }
                | ast::StmtKind::While { body, orelse, .. } => {
                    result.extend(Self::get_all_assigned_field(
+                        class_id,
                        definition_ast_list,
-                        def,
                        body.as_slice(),
                    )?);
                    result.extend(Self::get_all_assigned_field(
+                        class_id,
                        definition_ast_list,
-                        def,
                        orelse.as_slice(),
                    )?);
                }
                ast::StmtKind::If { body, orelse, .. } => {
-                    let inited_for_sure =
-                        Self::get_all_assigned_field(definition_ast_list, def, body.as_slice())?
-                            .intersection(&Self::get_all_assigned_field(
-                                definition_ast_list,
-                                def,
-                                orelse.as_slice(),
-                            )?)
-                            .copied()
-                            .collect::<HashSet<_>>();
+                    let inited_for_sure = Self::get_all_assigned_field(
+                        class_id,
+                        definition_ast_list,
+                        body.as_slice(),
+                    )?
+                    .intersection(&Self::get_all_assigned_field(
+                        class_id,
+                        definition_ast_list,
+                        orelse.as_slice(),
+                    )?)
+                    .copied()
+                    .collect::<HashSet<_>>();
                    result.extend(inited_for_sure);
                }
                ast::StmtKind::Try { body, orelse, finalbody, .. } => {
-                    let inited_for_sure =
-                        Self::get_all_assigned_field(definition_ast_list, def, body.as_slice())?
-                            .intersection(&Self::get_all_assigned_field(
-                                definition_ast_list,
-                                def,
-                                orelse.as_slice(),
-                            )?)
-                            .copied()
-                            .collect::<HashSet<_>>();
+                    let inited_for_sure = Self::get_all_assigned_field(
+                        class_id,
+                        definition_ast_list,
+                        body.as_slice(),
+                    )?
+                    .intersection(&Self::get_all_assigned_field(
+                        class_id,
+                        definition_ast_list,
+                        orelse.as_slice(),
+                    )?)
+                    .copied()
+                    .collect::<HashSet<_>>();
                    result.extend(inited_for_sure);
                    result.extend(Self::get_all_assigned_field(
+                        class_id,
                        definition_ast_list,
-                        def,
                        finalbody.as_slice(),
                    )?);
                }
                ast::StmtKind::With { body, .. } => {
                    result.extend(Self::get_all_assigned_field(
+                        class_id,
                        definition_ast_list,
-                        def,
                        body.as_slice(),
                    )?);
                }
-                // If its a call to __init__function of ancestor extend with ancestor fields
+                // Variables Initialized in function calls
                ast::StmtKind::Expr { value, .. } => {
-                    // Check if Expression is a function call to self
-                    if let ExprKind::Call { func, args, .. } = &value.node {
-                        if let ExprKind::Attribute { value, attr: fn_name, .. } = &func.node {
-                            let class_def = def.read();
-                            let (ancestors, methods) = {
-                                let mut class_methods: HashMap<StrRef, DefinitionId> =
-                                    HashMap::new();
-                                let mut class_ancestors: HashMap<
-                                    StrRef,
-                                    HashMap<StrRef, DefinitionId>,
-                                > = HashMap::new();
+                    let ExprKind::Call { func, .. } = &value.node else {
+                        continue;
+                    };
+                    let ExprKind::Attribute { value, attr, .. } = &func.node else {
+                        continue;
+                    };
+                    let ExprKind::Name { id, .. } = &value.node else {
+                        continue;
+                    };
+                    // Need to consider the two cases:
+                    //  Case 1) Call to class function i.e. id = `self`
+                    //  Case 2) Call to class ancestor function i.e. id = ancestor_name
+                    // We leave checking whether function in case 2 belonged to class ancestor or not to type checker
+                    //
+                    // According to current handling of `self`, function definition are fixed and do not change regardless
+                    // of which object is passed as `self` i.e. virtual polymorphism is not supported
+                    // Therefore, we change class id for case 2 to reflect behavior of our compiler

-                                if let TopLevelDef::Class { methods, ancestors, .. } = &*class_def {
-                                    for m in methods {
-                                        class_methods.insert(m.0, m.2);
-                                    }
-                                    ancestors.iter().skip(1).for_each(|a| {
-                                        if let TypeAnnotation::CustomClass { id, .. } = a {
-                                            let anc_def =
-                                                definition_ast_list.get(id.0).unwrap().0.read();
-                                            if let TopLevelDef::Class { name, methods, .. } =
-                                                &*anc_def
-                                            {
-                                                let mut temp: HashMap<StrRef, DefinitionId> =
-                                                    HashMap::new();
-                                                for m in methods {
-                                                    temp.insert(m.0, m.2);
-                                                }
-                                                // Remove module name suffix from name
-                                                let mut name_string = name.to_string();
-                                                let split_loc =
-                                                    name_string.find(|c| c == '.').unwrap() + 1;
-                                                class_ancestors.insert(
-                                                    name_string.split_off(split_loc).into(),
-                                                    temp,
-                                                );
-                                            }
-                                        }
-                                    });
+                    let class_name = if *id == "self".into() {
+                        let ast::StmtKind::ClassDef { name, .. } =
+                            &definition_ast_list[class_id].1.as_ref().unwrap().node
+                        else {
+                            unreachable!()
+                        };
+                        name
+                    } else {
+                        id
+                    };
+
+                    let parent_method = definition_ast_list.iter().find_map(|def| {
+                        let (
+                            class_def,
+                            Some(ast::Located {
+                                node: ast::StmtKind::ClassDef { name, body, .. },
+                                ..
+                            }),
+                        ) = &def
+                        else {
+                            return None;
+                        };
+                        let TopLevelDef::Class { object_id: class_id, .. } = &*class_def.read()
+                        else {
+                            unreachable!()
+                        };
+
+                        if name == class_name {
+                            body.iter().find_map(|m| {
+                                let ast::StmtKind::FunctionDef { name, body, .. } = &m.node else {
+                                    return None;
+                                };
+                                if *name == *attr {
+                                    return Some((body.clone(), class_id.0));
                                }
-                                (class_ancestors, class_methods)
-                            };
-                            if let ExprKind::Name { id, .. } = value.node {
-                                if id == "self".into() {
-                                    // Get Class methods and fields
-                                    let method_id = methods.get(fn_name);
-                                    if method_id.is_some() {
-                                        if let Some(fn_ast) = &definition_ast_list
-                                            .get(method_id.unwrap().0)
-                                            .unwrap()
-                                            .1
-                                        {
-                                            if let ast::StmtKind::FunctionDef { body, .. } =
-                                                &fn_ast.node
-                                            {
-                                                result.extend(Self::get_all_assigned_field(
-                                                    definition_ast_list,
-                                                    def,
-                                                    body.as_slice(),
-                                                )?);
-                                            }
-                                        }
-                                    }
-                                } else if let Some(ancestor_methods) = ancestors.get(&id) {
-                                    // First arg must be `self` when calling ancestor function
-                                    if let ExprKind::Name { id, .. } = args[0].node {
-                                        if id == "self".into() {
-                                            if let Some(method_id) = ancestor_methods.get(fn_name) {
-                                                if let Some(fn_ast) =
-                                                    &definition_ast_list.get(method_id.0).unwrap().1
-                                                {
-                                                    if let ast::StmtKind::FunctionDef {
-                                                        body, ..
-                                                    } = &fn_ast.node
-                                                    {
-                                                        result.extend(
-                                                            Self::get_all_assigned_field(
-                                                                definition_ast_list,
-                                                                def,
-                                                                body.as_slice(),
-                                                            )?,
-                                                        );
-                                                    }
-                                                }
-                                            };
-                                        }
-                                    }
-                                }
-                            }
+                                None
+                            })
+                        } else {
+                            None
                        }
+                    });
+
+                    // If method body is none then method does not exist
+                    if let Some((method_body, class_id)) = parent_method {
+                        result.extend(Self::get_all_assigned_field(
+                            class_id,
+                            definition_ast_list,
+                            method_body.as_slice(),
+                        )?);
+                    } else {
+                        return Err(HashSet::from([format!(
+                            "{}.{} not found in class {class_name} at {}",
+                            *id, *attr, value.location
+                        )]));
                    }
                }
-                ast::StmtKind::Pass { .. } | ast::StmtKind::Assert { .. } => {}
+                ast::StmtKind::Pass { .. }
+                | ast::StmtKind::Assert { .. }
+                | ast::StmtKind::AnnAssign { .. } => {}

                _ => {
-                    println!("{:?}", s.node);
                    unimplemented!()
                }
            }
--- a/nac3core/src/toplevel/mod.rs
+++ b/nac3core/src/toplevel/mod.rs
@ -130,14 +130,14 @@ pub enum TopLevelDef {
        /// Function instance to symbol mapping
        ///
        /// * Key: String representation of type variable values, sorted by variable ID in ascending
-        /// order, including type variables associated with the class.
+        ///   order, including type variables associated with the class.
        /// * Value: Function symbol name.
        instance_to_symbol: HashMap<String, String>,
        /// Function instances to annotated AST mapping
        ///
        /// * Key: String representation of type variable values, sorted by variable ID in ascending
-        /// order, including type variables associated with the class. Excluding rigid type
-        /// variables.
+        ///   order, including type variables associated with the class. Excluding rigid type
+        ///   variables.
        ///
        /// Rigid type variables that would be substituted when the function is instantiated.
        instance_to_stmt: HashMap<String, FunInstance>,
--- a/nac3core/src/toplevel/numpy.rs
+++ b/nac3core/src/toplevel/numpy.rs
@ -10,9 +10,9 @@ use itertools::Itertools;
 /// Creates a `ndarray` [`Type`] with the given type arguments.
 ///
 /// * `dtype` - The element type of the `ndarray`, or [`None`] if the type variable is not
-/// specialized.
+///   specialized.
 /// * `ndims` - The number of dimensions of the `ndarray`, or [`None`] if the type variable is not
-/// specialized.
+///   specialized.
 pub fn make_ndarray_ty(
    unifier: &mut Unifier,
    primitives: &PrimitiveStore,
@ -25,9 +25,9 @@ pub fn make_ndarray_ty(
 /// Substitutes type variables in `ndarray`.
 ///
 /// * `dtype` - The element type of the `ndarray`, or [`None`] if the type variable is not
-/// specialized.
+///   specialized.
 /// * `ndims` - The number of dimensions of the `ndarray`, or [`None`] if the type variable is not
-/// specialized.
+///   specialized.
 pub fn subst_ndarray_tvars(
    unifier: &mut Unifier,
    ndarray: Type,
--- a/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__generic_class.snap
+++ b/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__generic_class.snap
@ -5,7 +5,7 @@ expression: res_vec
 [
    "Class {\nname: \"Generic_A\",\nancestors: [\"Generic_A[V]\", \"B\"],\nfields: [\"aa\", \"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"foo\", \"fn[[b:T], none]\"), (\"fun\", \"fn[[a:int32], V]\")],\ntype_vars: [\"V\"]\n}\n",
    "Function {\nname: \"Generic_A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
-    "Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(245)]\n}\n",
+    "Function {\nname: \"Generic_A.fun\",\nsig: \"fn[[a:int32], V]\",\nvar_id: [TypeVarId(241)]\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",
--- a/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__inheritance_override.snap
+++ b/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__inheritance_override.snap
@ -7,7 +7,7 @@ expression: res_vec
    "Function {\nname: \"A.__init__\",\nsig: \"fn[[t:T], none]\",\nvar_id: []\n}\n",
    "Function {\nname: \"A.fun\",\nsig: \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\",\nvar_id: []\n}\n",
    "Function {\nname: \"A.foo\",\nsig: \"fn[[c:C], none]\",\nvar_id: []\n}\n",
-    "Class {\nname: \"B\",\nancestors: [\"B[typevar234]\", \"A[float]\"],\nfields: [\"a\", \"b\", \"c\", \"d\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[a:int32, b:T], list[virtual[B[bool]]]]\"), (\"foo\", \"fn[[c:C], none]\")],\ntype_vars: [\"typevar234\"]\n}\n",
+    "Class {\nname: \"B\",\nancestors: [\"B[typevar230]\", \"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: [\"typevar230\"]\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",
--- a/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__list_tuple_generic.snap
+++ b/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__list_tuple_generic.snap
@ -5,8 +5,8 @@ expression: res_vec
 [
    "Function {\nname: \"foo\",\nsig: \"fn[[a:list[int32], b:tuple[T, float]], A[B, bool]]\",\nvar_id: []\n}\n",
    "Class {\nname: \"A\",\nancestors: [\"A[T, V]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[v:V], none]\"), (\"fun\", \"fn[[a:T], V]\")],\ntype_vars: [\"T\", \"V\"]\n}\n",
-    "Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(247)]\n}\n",
-    "Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(252)]\n}\n",
+    "Function {\nname: \"A.__init__\",\nsig: \"fn[[v:V], none]\",\nvar_id: [TypeVarId(243)]\n}\n",
+    "Function {\nname: \"A.fun\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(248)]\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",
--- a/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__self1.snap
+++ b/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__self1.snap
@ -3,7 +3,7 @@ source: nac3core/src/toplevel/test.rs
 expression: res_vec
 ---
 [
-    "Class {\nname: \"A\",\nancestors: [\"A[typevar233, typevar234]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[float, bool], b:B], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\")],\ntype_vars: [\"typevar233\", \"typevar234\"]\n}\n",
+    "Class {\nname: \"A\",\nancestors: [\"A[typevar229, typevar230]\"],\nfields: [\"a\", \"b\"],\nmethods: [(\"__init__\", \"fn[[a:A[float, bool], b:B], none]\"), (\"fun\", \"fn[[a:A[float, bool]], A[bool, int32]]\")],\ntype_vars: [\"typevar229\", \"typevar230\"]\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",
--- a/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__simple_class_compose.snap
+++ b/nac3core/src/toplevel/snapshots/nac3coretopleveltest__test_analyze__simple_class_compose.snap
@ -6,12 +6,12 @@ expression: res_vec
    "Class {\nname: \"A\",\nancestors: [\"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
    "Function {\nname: \"A.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
    "Function {\nname: \"A.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
-    "Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(253)]\n}\n",
+    "Function {\nname: \"A.foo\",\nsig: \"fn[[a:T, b:V], none]\",\nvar_id: [TypeVarId(249)]\n}\n",
    "Class {\nname: \"B\",\nancestors: [\"B\", \"C\", \"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
    "Function {\nname: \"B.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
    "Class {\nname: \"C\",\nancestors: [\"C\", \"A\"],\nfields: [\"a\"],\nmethods: [(\"__init__\", \"fn[[], none]\"), (\"fun\", \"fn[[b:B], none]\"), (\"foo\", \"fn[[a:T, b:V], none]\")],\ntype_vars: []\n}\n",
    "Function {\nname: \"C.__init__\",\nsig: \"fn[[], none]\",\nvar_id: []\n}\n",
    "Function {\nname: \"C.fun\",\nsig: \"fn[[b:B], none]\",\nvar_id: []\n}\n",
    "Function {\nname: \"foo\",\nsig: \"fn[[a:A], none]\",\nvar_id: []\n}\n",
-    "Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(261)]\n}\n",
+    "Function {\nname: \"ff\",\nsig: \"fn[[a:T], V]\",\nvar_id: [TypeVarId(257)]\n}\n",
 ]
--- a/nac3core/src/toplevel/test.rs
+++ b/nac3core/src/toplevel/test.rs
@ -117,7 +117,8 @@ impl SymbolResolver for Resolver {
    "register"
 )]
 fn test_simple_register(source: Vec<&str>) {
-    let mut composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 64).0;
+    let mut composer =
+        TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 64).0;

    for s in source {
        let ast = parse_program(s, FileName::default()).unwrap();
@ -137,7 +138,8 @@ fn test_simple_register(source: Vec<&str>) {
    "register"
 )]
 fn test_simple_register_without_constructor(source: &str) {
-    let mut composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 64).0;
+    let mut composer =
+        TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 64).0;
    let ast = parse_program(source, FileName::default()).unwrap();
    let ast = ast[0].clone();
    composer.register_top_level(ast, None, "", true).unwrap();
@ -171,7 +173,8 @@ fn test_simple_register_without_constructor(source: &str) {
    "function compose"
 )]
 fn test_simple_function_analyze(source: &[&str], tys: &[&str], names: &[&str]) {
-    let mut composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 64).0;
+    let mut composer =
+        TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 64).0;

    let internal_resolver = Arc::new(ResolverInternal {
        id_to_def: Mutex::default(),
@ -519,7 +522,8 @@ fn test_simple_function_analyze(source: &[&str], tys: &[&str], names: &[&str]) {
 )]
 fn test_analyze(source: &[&str], res: &[&str]) {
    let print = false;
-    let mut composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 64).0;
+    let mut composer =
+        TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 64).0;

    let internal_resolver = make_internal_resolver_with_tvar(
        vec![
@ -696,7 +700,8 @@ fn test_analyze(source: &[&str], res: &[&str]) {
 )]
 fn test_inference(source: Vec<&str>, res: &[&str]) {
    let print = true;
-    let mut composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 64).0;
+    let mut composer =
+        TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 64).0;

    let internal_resolver = make_internal_resolver_with_tvar(
        vec![
--- a/nac3core/src/toplevel/type_annotation.rs
+++ b/nac3core/src/toplevel/type_annotation.rs
@ -64,9 +64,9 @@ impl TypeAnnotation {
 /// Parses an AST expression `expr` into a [`TypeAnnotation`].
 ///
 /// * `locked` - A [`HashMap`] containing the IDs of known definitions, mapped to a [`Vec`] of all
-/// generic variables associated with the definition.
+///   generic variables associated with the definition.
 /// * `type_var` - The type variable associated with the type argument currently being parsed. Pass
-/// [`None`] when this function is invoked externally.
+///   [`None`] when this function is invoked externally.
 pub fn parse_ast_to_type_annotation_kinds<T, S: std::hash::BuildHasher + Clone>(
    resolver: &(dyn SymbolResolver + Send + Sync),
    top_level_defs: &[Arc<RwLock<TopLevelDef>>],
@ -552,7 +552,7 @@ pub fn get_type_from_type_annotation_kinds(
                    )
                })
                .collect::<Result<Vec<_>, _>>()?;
-            Ok(unifier.add_ty(TypeEnum::TTuple { ty: tys }))
+            Ok(unifier.add_ty(TypeEnum::TTuple { ty: tys, is_vararg_ctx: false }))
        }
    }
 }
--- a/nac3core/src/typecheck/function_check.rs
+++ b/nac3core/src/typecheck/function_check.rs
@ -34,13 +34,18 @@ impl<'a> Inferencer<'a> {
                self.should_have_value(pattern)?;
                Ok(())
            }
-            ExprKind::Tuple { elts, .. } => {
+            ExprKind::List { elts, .. } | ExprKind::Tuple { elts, .. } => {
                for elt in elts {
                    self.check_pattern(elt, defined_identifiers)?;
                    self.should_have_value(elt)?;
                }
                Ok(())
            }
+            ExprKind::Starred { value, .. } => {
+                self.check_pattern(value, defined_identifiers)?;
+                self.should_have_value(value)?;
+                Ok(())
+            }
            ExprKind::Subscript { value, slice, .. } => {
                self.check_expr(value, defined_identifiers)?;
                self.should_have_value(value)?;
@ -207,19 +212,23 @@ 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 {
-        match &*self.unifier.get_ty_immutable(ret_ty) {
-            TypeEnum::TObj { .. } => [
-                self.primitives.int32,
-                self.primitives.int64,
-                self.primitives.uint32,
-                self.primitives.uint64,
-                self.primitives.float,
-                self.primitives.bool,
-            ]
-            .iter()
-            .any(|allowed_ty| self.unifier.unioned(ret_ty, *allowed_ty)),
-            TypeEnum::TTuple { ty } => ty.iter().all(|t| self.check_return_value_ty(*t)),
-            _ => false,
+        if cfg!(feature = "no-escape-analysis") {
+            true
+        } else {
+            match &*self.unifier.get_ty_immutable(ret_ty) {
+                TypeEnum::TObj { .. } => [
+                    self.primitives.int32,
+                    self.primitives.int64,
+                    self.primitives.uint32,
+                    self.primitives.uint64,
+                    self.primitives.float,
+                    self.primitives.bool,
+                ]
+                .iter()
+                .any(|allowed_ty| self.unifier.unioned(ret_ty, *allowed_ty)),
+                TypeEnum::TTuple { ty, .. } => ty.iter().all(|t| self.check_return_value_ty(*t)),
+                _ => false,
+            }
        }
    }

--- a/nac3core/src/typecheck/magic_methods.rs
+++ b/nac3core/src/typecheck/magic_methods.rs
@ -197,6 +197,7 @@ pub fn impl_binop(
                            ty: other_ty,
                            default_value: None,
                            name: "other".into(),
+                            is_vararg: false,
                        }],
                    })),
                    false,
@ -261,6 +262,7 @@ pub fn impl_cmpop(
                            ty: other_ty,
                            default_value: None,
                            name: "other".into(),
+                            is_vararg: false,
                        }],
                    })),
                    false,
@ -518,6 +520,23 @@ pub fn typeof_binop(
        }

        Operator::MatMult => {
+            // NOTE: NumPy matmul's LHS and RHS must both be ndarrays. Scalars are not allowed.
+            match (&*unifier.get_ty(lhs), &*unifier.get_ty(rhs)) {
+                (
+                    TypeEnum::TObj { obj_id: lhs_obj_id, .. },
+                    TypeEnum::TObj { obj_id: rhs_obj_id, .. },
+                ) if *lhs_obj_id == primitives.ndarray.obj_id(unifier).unwrap()
+                    && *rhs_obj_id == primitives.ndarray.obj_id(unifier).unwrap() =>
+                {
+                    // LHS and RHS have valid types
+                }
+                _ => {
+                    let lhs_str = unifier.stringify(lhs);
+                    let rhs_str = unifier.stringify(rhs);
+                    return Err(format!("ndarray.__matmul__ only accepts ndarray operands, but left operand has type {lhs_str}, and right operand has type {rhs_str}"));
+                }
+            }
+
            let (_, lhs_ndims) = unpack_ndarray_var_tys(unifier, lhs);
            let lhs_ndims = match &*unifier.get_ty_immutable(lhs_ndims) {
                TypeEnum::TLiteral { values, .. } => {
@ -678,6 +697,7 @@ pub fn set_primitives_magic_methods(store: &PrimitiveStore, unifier: &mut Unifie
        bool: bool_t,
        uint32: uint32_t,
        uint64: uint64_t,
+        str: str_t,
        list: list_t,
        ndarray: ndarray_t,
        ..
@ -723,6 +743,9 @@ pub fn set_primitives_magic_methods(store: &PrimitiveStore, unifier: &mut Unifie
    impl_sign(unifier, store, bool_t, Some(int32_t));
    impl_eq(unifier, store, bool_t, &[bool_t, ndarray_bool_t], None);

+    /* str ========= */
+    impl_cmpop(unifier, store, str_t, &[str_t], &[Cmpop::Eq, Cmpop::NotEq], Some(bool_t));
+
    /* list ======== */
    impl_binop(unifier, store, list_t, &[list_t], Some(list_t), &[Operator::Add]);
    impl_binop(unifier, store, list_t, &[int32_t, int64_t], Some(list_t), &[Operator::Mult]);
--- a/nac3core/src/typecheck/type_error.rs
+++ b/nac3core/src/typecheck/type_error.rs
@ -183,9 +183,10 @@ impl<'a> Display for DisplayTypeError<'a> {
                        }
                        result
                    }
-                    (TypeEnum::TTuple { ty: ty1 }, TypeEnum::TTuple { ty: ty2 })
-                        if ty1.len() != ty2.len() =>
-                    {
+                    (
+                        TypeEnum::TTuple { ty: ty1, is_vararg_ctx: is_vararg1 },
+                        TypeEnum::TTuple { ty: ty2, is_vararg_ctx: is_vararg2 },
+                    ) if !is_vararg1 && !is_vararg2 && ty1.len() != ty2.len() => {
                        let t1 = self.unifier.stringify_with_notes(*t1, &mut notes);
                        let t2 = self.unifier.stringify_with_notes(*t2, &mut notes);
                        write!(f, "Tuple length mismatch: got {t1} and {t2}")
--- a/nac3core/src/typecheck/type_inferencer/mod.rs
+++ b/nac3core/src/typecheck/type_inferencer/mod.rs
--- a/nac3core/src/typecheck/type_inferencer/test.rs
+++ b/nac3core/src/typecheck/type_inferencer/test.rs
@ -83,7 +83,12 @@ impl TestEnvironment {
        });
        with_fields(&mut unifier, int32, |unifier, fields| {
            let add_ty = unifier.add_ty(TypeEnum::TFunc(FunSignature {
-                args: vec![FuncArg { name: "other".into(), ty: int32, default_value: None }],
+                args: vec![FuncArg {
+                    name: "other".into(),
+                    ty: int32,
+                    default_value: None,
+                    is_vararg: false,
+                }],
                ret: int32,
                vars: VarMap::new(),
            }));
@ -224,7 +229,12 @@ impl TestEnvironment {
        });
        with_fields(&mut unifier, int32, |unifier, fields| {
            let add_ty = unifier.add_ty(TypeEnum::TFunc(FunSignature {
-                args: vec![FuncArg { name: "other".into(), ty: int32, default_value: None }],
+                args: vec![FuncArg {
+                    name: "other".into(),
+                    ty: int32,
+                    default_value: None,
+                    is_vararg: false,
+                }],
                ret: int32,
                vars: VarMap::new(),
            }));
--- a/nac3core/src/typecheck/typedef/mod.rs
+++ b/nac3core/src/typecheck/typedef/mod.rs
@ -1,16 +1,4 @@
-use indexmap::IndexMap;
-use itertools::Itertools;
-use std::cell::RefCell;
-use std::collections::HashMap;
-use std::fmt::{self, Display};
-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::magic_methods::{Binop, HasOpInfo};
 use super::type_error::{TypeError, TypeErrorKind};
 use super::unification_table::{UnificationKey, UnificationTable};
 use crate::symbol_resolver::SymbolValue;
@ -18,6 +6,16 @@ use crate::toplevel::helper::PrimDef;
 use crate::toplevel::{DefinitionId, TopLevelContext, TopLevelDef};
 use crate::typecheck::magic_methods::OpInfo;
 use crate::typecheck::type_inferencer::PrimitiveStore;
+use indexmap::IndexMap;
+use itertools::{repeat_n, Itertools};
+use nac3parser::ast::{Cmpop, Location, StrRef, Unaryop};
+use std::cell::RefCell;
+use std::collections::HashMap;
+use std::fmt::{self, Display};
+use std::iter::{repeat, zip};
+use std::rc::Rc;
+use std::sync::{Arc, Mutex};
+use std::{borrow::Cow, collections::HashSet};

 #[cfg(test)]
 mod test;
@ -115,6 +113,7 @@ pub struct FuncArg {
    pub name: StrRef,
    pub ty: Type,
    pub default_value: Option<SymbolValue>,
+    pub is_vararg: bool,
 }

 impl FuncArg {
@ -233,6 +232,12 @@ 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.
@ -527,7 +532,7 @@ 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 } => {
+            TypeEnum::TTuple { ty, is_vararg_ctx } => {
                let tuples = ty
                    .iter()
                    .map(|ty| self.get_instantiations(*ty).unwrap_or_else(|| vec![*ty]))
@ -537,7 +542,12 @@ impl Unifier {
                    None
                } else {
                    Some(
-                        tuples.into_iter().map(|ty| self.add_ty(TypeEnum::TTuple { ty })).collect(),
+                        tuples
+                            .into_iter()
+                            .map(|ty| {
+                                self.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: *is_vararg_ctx })
+                            })
+                            .collect(),
                    )
                }
            }
@ -581,7 +591,7 @@ 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))
            }
@ -649,6 +659,7 @@ 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);
@ -737,7 +748,7 @@ impl Unifier {
                };

                // Check for "too many arguments"
-                if num_params < posargs.len() {
+                if !is_vararg && num_params < posargs.len() {
                    let expected_min_count =
                        signature.args.iter().filter(|param| param.is_required()).count();
                    let expected_max_count = num_params;
@ -770,6 +781,19 @@ 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 (&param_name, &arg_ty) in kwargs {
                    // We will also use this opportunity to check if this keyword argument is "legal".
@ -959,7 +983,10 @@ impl Unifier {
                self.unify_impl(x, b, false)?;
                self.set_a_to_b(a, x);
            }
-            (TVar { fields: Some(fields), range, is_const_generic: false, .. }, TTuple { ty }) => {
+            (
+                TVar { fields: Some(fields), range, is_const_generic: false, .. },
+                TTuple { ty, .. },
+            ) => {
                let len = i32::try_from(ty.len()).unwrap();
                for (k, v) in fields {
                    match *k {
@ -980,8 +1007,18 @@ impl Unifier {
                            self.unify_impl(v.ty, ty[ind as usize], false)
                                .map_err(|e| e.at(v.loc))?;
                        }
-                        RecordKey::Str(_) => {
-                            return Err(TypeError::new(TypeErrorKind::NoSuchField(*k, b), v.loc))
+                        RecordKey::Str(s) => {
+                            let tuple_fns = [
+                                Cmpop::Eq.op_info().method_name,
+                                Cmpop::NotEq.op_info().method_name,
+                            ];
+
+                            if !tuple_fns.into_iter().any(|op| s.to_string() == op) {
+                                return Err(TypeError::new(
+                                    TypeErrorKind::NoSuchField(*k, b),
+                                    v.loc,
+                                ));
+                            }
                        }
                    }
                }
@ -1056,15 +1093,47 @@ impl Unifier {
                self.set_a_to_b(a, b);
            }

-            (TTuple { ty: ty1 }, TTuple { ty: ty2 }) => {
-                if ty1.len() != ty2.len() {
-                    return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
-                }
-                for (x, y) in ty1.iter().zip(ty2.iter()) {
-                    if self.unify_impl(*x, *y, false).is_err() {
-                        return Err(TypeError::new(TypeErrorKind::IncompatibleTypes(a, b), None));
+            (
+                TTuple { ty: ty1, is_vararg_ctx: is_vararg1 },
+                TTuple { ty: ty2, is_vararg_ctx: is_vararg2 },
+            ) => {
+                // Rules for Tuples:
+                // - ty1: is_vararg && ty2: is_vararg -> ty1[0] == ty2[0]
+                // - ty1: is_vararg && ty2: !is_vararg -> type error (not enough info to infer the correct number of arguments)
+                // - ty1: !is_vararg && ty2: is_vararg -> ty1[..] == ty2[0]
+                // - ty1: !is_vararg && ty2: !is_vararg -> ty1.len() == ty2.len() && ty1[i] == ty2[i]
+
+                debug_assert!(!is_vararg1 || ty1.len() == 1);
+                debug_assert!(!is_vararg2 || ty2.len() == 1);
+
+                match (*is_vararg1, *is_vararg2) {
+                    (true, true) => {
+                        if self.unify_impl(ty1[0], ty2[0], false).is_err() {
+                            return Self::incompatible_types(a, b);
+                        }
+                    }
+                    (true, false) => return Self::incompatible_types(a, b),
+
+                    (false, true) => {
+                        for y in ty2 {
+                            if self.unify_impl(ty1[0], *y, false).is_err() {
+                                return Self::incompatible_types(a, b);
+                            }
+                        }
+                    }
+                    (false, false) => {
+                        if ty1.len() != ty2.len() {
+                            return Self::incompatible_types(a, b);
+                        }
+
+                        for (x, y) in ty1.iter().zip(ty2.iter()) {
+                            if self.unify_impl(*x, *y, false).is_err() {
+                                return Self::incompatible_types(a, b);
+                            }
+                        }
                    }
                }
+
                self.set_a_to_b(a, b);
            }
            (TVar { fields: Some(map), range, .. }, TObj { obj_id, fields, params }) => {
@ -1307,10 +1376,22 @@ impl Unifier {
            TypeEnum::TLiteral { values, .. } => {
                format!("const({})", values.iter().map(|v| format!("{v:?}")).join(", "))
            }
-            TypeEnum::TTuple { ty } => {
-                let mut fields =
-                    ty.iter().map(|v| self.internal_stringify(*v, obj_to_name, var_to_name, notes));
-                format!("tuple[{}]", fields.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));
+                    format!("tuple[{}]", fields.join(", "))
+                }
            }
            TypeEnum::TVirtual { ty } => {
                format!(
@ -1335,17 +1416,21 @@ impl Unifier {
                    .args
                    .iter()
                    .map(|arg| {
+                        let vararg_prefix = if arg.is_vararg { "*" } else { "" };
+
                        if let Some(dv) = &arg.default_value {
                            format!(
-                                "{}:{}={}",
+                                "{}:{}{}={}",
                                arg.name,
+                                vararg_prefix,
                                self.internal_stringify(arg.ty, obj_to_name, var_to_name, notes),
                                dv
                            )
                        } else {
                            format!(
-                                "{}:{}",
+                                "{}:{}{}",
                                arg.name,
+                                vararg_prefix,
                                self.internal_stringify(arg.ty, obj_to_name, var_to_name, notes)
                            )
                        }
@ -1431,7 +1516,7 @@ impl Unifier {
        match &*ty {
            TypeEnum::TRigidVar { .. } | TypeEnum::TLiteral { .. } => None,
            TypeEnum::TVar { id, .. } => mapping.get(id).copied(),
-            TypeEnum::TTuple { ty } => {
+            TypeEnum::TTuple { ty, is_vararg_ctx } => {
                let mut new_ty = Cow::from(ty);
                for (i, t) in ty.iter().enumerate() {
                    if let Some(t1) = self.subst_impl(*t, mapping, cache) {
@ -1439,7 +1524,10 @@ impl Unifier {
                    }
                }
                if matches!(new_ty, Cow::Owned(_)) {
-                    Some(self.add_ty(TypeEnum::TTuple { ty: new_ty.into_owned() }))
+                    Some(self.add_ty(TypeEnum::TTuple {
+                        ty: new_ty.into_owned(),
+                        is_vararg_ctx: *is_vararg_ctx,
+                    }))
                } else {
                    None
                }
@ -1599,16 +1687,37 @@ impl Unifier {
                }
            }
            (TVar { range, .. }, _) => self.check_var_compatibility(b, range).or(Err(())),
-            (TTuple { ty: ty1 }, TTuple { ty: ty2 }) if ty1.len() == ty2.len() => {
-                let ty: Vec<_> = zip(ty1.iter(), ty2.iter())
-                    .map(|(a, b)| self.get_intersection(*a, *b))
-                    .try_collect()?;
-                if ty.iter().any(Option::is_some) {
-                    Ok(Some(self.add_ty(TTuple {
-                        ty: zip(ty, ty1.iter()).map(|(a, b)| a.unwrap_or(*b)).collect(),
-                    })))
+            (
+                TTuple { ty: ty1, is_vararg_ctx: is_vararg1 },
+                TTuple { ty: ty2, is_vararg_ctx: is_vararg2 },
+            ) => {
+                if *is_vararg1 && *is_vararg2 {
+                    let isect_ty = self.get_intersection(ty1[0], ty2[0])?;
+                    Ok(isect_ty.map(|ty| self.add_ty(TTuple { ty: vec![ty], is_vararg_ctx: true })))
                } else {
-                    Ok(None)
+                    let zip_iter: Box<dyn Iterator<Item = (&Type, &Type)>> =
+                        match (*is_vararg1, *is_vararg2) {
+                            (true, _) => Box::new(repeat_n(&ty1[0], ty2.len()).zip(ty2.iter())),
+                            (_, false) => Box::new(ty1.iter().zip(repeat_n(&ty2[0], ty1.len()))),
+                            _ => {
+                                if ty1.len() != ty2.len() {
+                                    return Err(());
+                                }
+
+                                Box::new(ty1.iter().zip(ty2.iter()))
+                            }
+                        };
+
+                    let ty: Vec<_> =
+                        zip_iter.map(|(a, b)| self.get_intersection(*a, *b)).try_collect()?;
+                    Ok(if ty.iter().any(Option::is_some) {
+                        Some(self.add_ty(TTuple {
+                            ty: zip(ty, ty1.iter()).map(|(a, b)| a.unwrap_or(*b)).collect(),
+                            is_vararg_ctx: false,
+                        }))
+                    } else {
+                        None
+                    })
                }
            }
            // TODO(Derppening): #444
--- a/nac3core/src/typecheck/typedef/test.rs
+++ b/nac3core/src/typecheck/typedef/test.rs
@ -28,7 +28,10 @@ impl Unifier {
                TypeEnum::TVar { fields: Some(map1), .. },
                TypeEnum::TVar { fields: Some(map2), .. },
            ) => self.map_eq2(map1, map2),
-            (TypeEnum::TTuple { ty: ty1 }, TypeEnum::TTuple { ty: ty2 }) => {
+            (
+                TypeEnum::TTuple { ty: ty1, is_vararg_ctx: false },
+                TypeEnum::TTuple { ty: ty2, is_vararg_ctx: false },
+            ) => {
                ty1.len() == ty2.len()
                    && ty1.iter().zip(ty2.iter()).all(|(t1, t2)| self.eq(*t1, *t2))
            }
@ -178,7 +181,7 @@ impl TestEnvironment {
                    ty.push(result.0);
                    s = result.1;
                }
-                (self.unifier.add_ty(TypeEnum::TTuple { ty }), &s[1..])
+                (self.unifier.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: false }), &s[1..])
            }
            "Record" => {
                let mut s = &typ[end..];
@ -608,7 +611,7 @@ 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] });
+    let tuple = env.unifier.add_ty(TypeEnum::TTuple { ty: vec![v, v1, v2], is_vararg_ctx: false });
    let v3 = env.unifier.get_fresh_var_with_range(&[tuple, t], None, None).ty;
    // t = TypeVar('t')
    // v = TypeVar('v', int, bool)
--- a/nac3ld/src/dwarf.rs
+++ b/nac3ld/src/dwarf.rs
@ -238,7 +238,7 @@ impl<'a> EH_Frame<'a> {
 /// From the [specification](https://refspecs.linuxfoundation.org/LSB_5.0.0/LSB-Core-generic/LSB-Core-generic/ehframechpt.html):
 ///
 /// > Each CFI record contains a Common Information Entry (CIE) record followed by 1 or more Frame
-/// Description Entry (FDE) records.
+/// > Description Entry (FDE) records.
 pub struct CFI_Record<'a> {
    // It refers to the augmentation data that corresponds to 'R' in the augmentation string
    fde_pointer_encoding: u8,
--- a/nac3standalone/Cargo.toml
+++ b/nac3standalone/Cargo.toml
@ -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" }
--- a/nac3standalone/demo/check_demo.sh
+++ b/nac3standalone/demo/check_demo.sh
@ -3,23 +3,66 @@
 set -e

 if [ -z "$1" ]; then
-  echo "Requires at least one argument"
-  exit 1
+    echo "No argument supplied"
+    exit 1
 fi

 declare -a nac3args
+while [ $# -gt 1 ]; do
+  case "$1" in
+    --help)
+      echo "Usage: check_demo.sh [--debug] [-i686] -- [NAC3ARGS...] demo"
+      exit
+      ;;
+    --debug)
+      debug=1
+      ;;
+    -i686)
+      i686=1
+      ;;
+    --)
+      shift
+      break
+      ;;
+    *)
+      echo "Unrecognized argument \"$1\""
+      exit 1
+      ;;
+  esac
+  shift
+done
+
 while [ $# -gt 1 ]; do
  nac3args+=("$1")
  shift
 done
 demo="$1"

-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"

-rm -f interpreted.log run.log run_lli.log
+echo "### Checking $demo..."
+
+echo ">>>>>> Running $demo with the Python interpreter"
+./interpret_demo.py "$demo" > interpreted.log
+
+if [ -n "$i686" ]; then
+  echo "...... Trying NAC3's 32-bit code generator output"
+  if [ -n "$debug" ]; then
+    ./run_demo.sh --debug -i686 --out run_32.log -- "${nac3args[@]}" "$demo"
+  else
+    ./run_demo.sh -i686 --out run_32.log -- "${nac3args[@]}" "$demo"
+  fi
+  diff -Nau interpreted.log run_32.log
+fi
+
+echo "...... Trying NAC3's 64-bit code generator output"
+if [ -n "$debug" ]; then
+  ./run_demo.sh --debug --out run_64.log -- "${nac3args[@]}" "$demo"
+else
+  ./run_demo.sh --out run_64.log -- "${nac3args[@]}" "$demo"
+fi
+diff -Nau interpreted.log run_64.log
+
+echo "...... OK"
+
+rm -f interpreted.log \
+  run_32.log run_64.log
--- a/nac3standalone/demo/check_demos.sh
+++ b/nac3standalone/demo/check_demos.sh
@ -2,6 +2,11 @@

 set -e

+if [ "$1" == "--help" ]; then
+    echo "Usage: check_demos.sh [CHECKARGS...] [--] [NAC3ARGS...]"
+    exit
+fi
+
 count=0
 for demo in src/*.py; do
  ./check_demo.sh "$@" "$demo"
--- a/nac3standalone/demo/demo.c
+++ b/nac3standalone/demo/demo.c
@ -6,14 +6,12 @@
 #include <stdlib.h>
 #include <string.h>

-#define usize size_t
-
 double dbl_nan(void) {
-  return NAN;
+    return NAN;
 }

 double dbl_inf(void) {
-  return INFINITY;
+    return INFINITY;
 }

 void output_bool(bool x) {
@ -21,19 +19,19 @@ void output_bool(bool x) {
 }

 void output_int32(int32_t x) {
-    printf("%"PRId32"\n", x);
+    printf("%" PRId32 "\n", x);
 }

 void output_int64(int64_t x) {
-    printf("%"PRId64"\n", x);
+    printf("%" PRId64 "\n", x);
 }

 void output_uint32(uint32_t x) {
-    printf("%"PRIu32"\n", x);
+    printf("%" PRIu32 "\n", x);
 }

 void output_uint64(uint64_t x) {
-    printf("%"PRIu64"\n", x);
+    printf("%" PRIu64 "\n", x);
 }

 void output_float64(double x) {
@ -54,7 +52,7 @@ void output_range(int32_t range[3]) {
 }

 void output_asciiart(int32_t x) {
-    static const char *chars = " .,-:;i+hHM$*#@    ";
+    static const char* chars = " .,-:;i+hHM$*#@    ";
    if (x < 0) {
        putchar('\n');
    } else {
@ -63,15 +61,15 @@ void output_asciiart(int32_t x) {
 }

 struct cslice {
-    void *data;
-    usize len;
+    void* data;
+    size_t len;
 };

-void output_int32_list(struct cslice *slice) {
-    const int32_t *data = (int32_t *) slice->data;
+void output_int32_list(struct cslice* slice) {
+    const int32_t* data = (int32_t*)slice->data;

    putchar('[');
-    for (usize i = 0; i < slice->len; ++i) {
+    for (size_t i = 0; i < slice->len; ++i) {
        if (i == slice->len - 1) {
            printf("%d", data[i]);
        } else {
@ -82,23 +80,23 @@ void output_int32_list(struct cslice *slice) {
    putchar('\n');
 }

-void output_str(struct cslice *slice) {
-    const char *data = (const char *) slice->data;
+void output_str(struct cslice* slice) {
+    const char* data = (const char*)slice->data;

-    for (usize i = 0; i < slice->len; ++i) {
+    for (size_t i = 0; i < slice->len; ++i) {
        putchar(data[i]);
    }
 }

-void output_strln(struct cslice *slice) {
+void output_strln(struct cslice* slice) {
    output_str(slice);
    putchar('\n');
 }

-uint64_t dbg_stack_address(__attribute__((unused)) struct cslice *slice) {
+uint64_t dbg_stack_address(__attribute__((unused)) struct cslice* slice) {
    int i;
-    void *ptr = (void *) &i;
-    return (uintptr_t) ptr;
+    void* ptr = (void*)&i;
+    return (uintptr_t)ptr;
 }

 uint32_t __nac3_personality(uint32_t state, uint32_t exception_object, uint32_t context) {
@ -121,11 +119,12 @@ struct Exception {

 uint32_t __nac3_raise(struct Exception* e) {
    printf("__nac3_raise called. Exception details:\n");
-    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]);
+    printf("          ID: %" PRIu32 "\n", e->id);
+    printf("    Location: %*s:%" PRIu32 ":%" PRIu32 "\n", (int)e->file.len, (const char*)e->file.data, e->line,
+           e->column);
+    printf("    Function: %*s\n", (int)e->function.len, (const char*)e->function.data);
+    printf("     Message: \"%*s\"\n", (int)e->message.len, (const char*)e->message.data);
+    printf("      Params: {0}=%" PRId64 ", {1}=%" PRId64 ", {2}=%" PRId64 "\n", e->param[0], e->param[1], e->param[2]);
    exit(101);
    __builtin_unreachable();
 }
--- a/nac3standalone/demo/interpret_demo.py
+++ b/nac3standalone/demo/interpret_demo.py
@ -6,6 +6,7 @@ import importlib.machinery
 import math
 import numpy as np
 import numpy.typing as npt
+import scipy as sp
 import pathlib

 from numpy import int32, int64, uint32, uint64
@ -217,6 +218,8 @@ 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
    module.sp_spec_erf = special.erf
@ -226,6 +229,20 @@ 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)
+
 def file_import(filename, prefix="file_import_"):
    filename = pathlib.Path(filename)
    modname = prefix + filename.stem
--- a/nac3standalone/demo/interpreted.log
+++ b/nac3standalone/demo/interpreted.log
--- a/nac3standalone/demo/linalg/Cargo.lock
+++ b/nac3standalone/demo/linalg/Cargo.lock
@ -0,0 +1,114 @@
+# This file is automatically @generated by Cargo.
+# It is not intended for manual editing.
+version = 3
+
+[[package]]
+name = "approx"
+version = "0.5.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "cab112f0a86d568ea0e627cc1d6be74a1e9cd55214684db5561995f6dad897c6"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "autocfg"
+version = "1.3.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0c4b4d0bd25bd0b74681c0ad21497610ce1b7c91b1022cd21c80c6fbdd9476b0"
+
+[[package]]
+name = "cslice"
+version = "0.3.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0f8cb7306107e4b10e64994de6d3274bd08996a7c1322a27b86482392f96be0a"
+
+[[package]]
+name = "libm"
+version = "0.2.8"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4ec2a862134d2a7d32d7983ddcdd1c4923530833c9f2ea1a44fc5fa473989058"
+
+[[package]]
+name = "linalg"
+version = "0.1.0"
+dependencies = [
+ "cslice",
+ "nalgebra",
+]
+
+[[package]]
+name = "nalgebra"
+version = "0.32.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7b5c17de023a86f59ed79891b2e5d5a94c705dbe904a5b5c9c952ea6221b03e4"
+dependencies = [
+ "approx",
+ "num-complex",
+ "num-rational",
+ "num-traits",
+ "simba",
+ "typenum",
+]
+
+[[package]]
+name = "num-complex"
+version = "0.4.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "73f88a1307638156682bada9d7604135552957b7818057dcef22705b4d509495"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "num-integer"
+version = "0.1.46"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7969661fd2958a5cb096e56c8e1ad0444ac2bbcd0061bd28660485a44879858f"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "num-rational"
+version = "0.4.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f83d14da390562dca69fc84082e73e548e1ad308d24accdedd2720017cb37824"
+dependencies = [
+ "num-integer",
+ "num-traits",
+]
+
+[[package]]
+name = "num-traits"
+version = "0.2.19"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "071dfc062690e90b734c0b2273ce72ad0ffa95f0c74596bc250dcfd960262841"
+dependencies = [
+ "autocfg",
+ "libm",
+]
+
+[[package]]
+name = "paste"
+version = "1.0.15"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "57c0d7b74b563b49d38dae00a0c37d4d6de9b432382b2892f0574ddcae73fd0a"
+
+[[package]]
+name = "simba"
+version = "0.8.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "061507c94fc6ab4ba1c9a0305018408e312e17c041eb63bef8aa726fa33aceae"
+dependencies = [
+ "approx",
+ "num-complex",
+ "num-traits",
+ "paste",
+]
+
+[[package]]
+name = "typenum"
+version = "1.17.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "42ff0bf0c66b8238c6f3b578df37d0b7848e55df8577b3f74f92a69acceeb825"
--- a/nac3standalone/demo/linalg/Cargo.toml
+++ b/nac3standalone/demo/linalg/Cargo.toml
@ -0,0 +1,13 @@
+[package]
+name = "linalg"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+crate-type = ["staticlib"]
+
+[dependencies]
+nalgebra = {version = "0.32.6", default-features = false, features = ["libm", "alloc"]}
+cslice = "0.3.0"
+
+[workspace]
--- a/nac3standalone/demo/linalg/src/lib.rs
+++ b/nac3standalone/demo/linalg/src/lib.rs
@ -0,0 +1,406 @@
+// Uses `nalgebra` crate to invoke `np_linalg` and `sp_linalg` functions
+// When converting between `nalgebra::Matrix` and `NDArray` following considerations are necessary
+//
+// * Both `nalgebra::Matrix` and `NDArray` require their content to be stored in row-major order
+// * `NDArray` data pointer can be directly read and converted to `nalgebra::Matrix` (row and column number must be known)
+// * `nalgebra::Matrix::as_slice` returns the content of matrix in column-major order and initial data needs to be transposed before storing it in `NDArray` data pointer
+
+use core::slice;
+use nalgebra::DMatrix;
+
+fn report_error(
+    error_name: &str,
+    fn_name: &str,
+    file_name: &str,
+    line_num: u32,
+    col_num: u32,
+    err_msg: &str,
+) -> ! {
+    panic!(
+        "Exception {} from {} in {}:{}:{}, message: {}",
+        error_name, fn_name, file_name, line_num, col_num, err_msg
+    );
+}
+
+pub struct InputMatrix {
+    pub ndims: usize,
+    pub dims: *const usize,
+    pub data: *mut f64,
+}
+impl InputMatrix {
+    fn get_dims(&mut self) -> Vec<usize> {
+        let dims = unsafe { slice::from_raw_parts(self.dims, self.ndims) };
+        dims.to_vec()
+    }
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_cholesky(mat1: *mut InputMatrix, out: *mut InputMatrix) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out = out.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "np_linalg_cholesky", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+    if dim1[0] != dim1[1] {
+        let err_msg =
+            format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
+        report_error("LinAlgError", "np_linalg_cholesky", file!(), line!(), column!(), &err_msg);
+    }
+
+    let outdim = out.get_dims();
+    let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+
+    let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let result = matrix1.cholesky();
+    match result {
+        Some(res) => {
+            out_slice.copy_from_slice(res.unpack().transpose().as_slice());
+        }
+        None => {
+            report_error(
+                "LinAlgError",
+                "np_linalg_cholesky",
+                file!(),
+                line!(),
+                column!(),
+                "Matrix is not positive definite",
+            );
+        }
+    };
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_qr(
+    mat1: *mut InputMatrix,
+    out_q: *mut InputMatrix,
+    out_r: *mut InputMatrix,
+) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out_q = out_q.as_mut().unwrap();
+    let out_r = out_r.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "np_linalg_cholesky", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+    let outq_dim = (*out_q).get_dims();
+    let outr_dim = (*out_r).get_dims();
+
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+    let out_q_slice = unsafe { slice::from_raw_parts_mut(out_q.data, outq_dim[0] * outq_dim[1]) };
+    let out_r_slice = unsafe { slice::from_raw_parts_mut(out_r.data, outr_dim[0] * outr_dim[1]) };
+
+    // Refer to https://github.com/dimforge/nalgebra/issues/735
+    let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+
+    let res = matrix1.qr();
+    let (q, r) = res.unpack();
+
+    // Uses different algo need to match numpy
+    out_q_slice.copy_from_slice(q.transpose().as_slice());
+    out_r_slice.copy_from_slice(r.transpose().as_slice());
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_svd(
+    mat1: *mut InputMatrix,
+    outu: *mut InputMatrix,
+    outs: *mut InputMatrix,
+    outvh: *mut InputMatrix,
+) {
+    let mat1 = mat1.as_mut().unwrap();
+    let outu = outu.as_mut().unwrap();
+    let outs = outs.as_mut().unwrap();
+    let outvh = outvh.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "np_linalg_svd", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+    let outu_dim = (*outu).get_dims();
+    let outs_dim = (*outs).get_dims();
+    let outvh_dim = (*outvh).get_dims();
+
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+    let out_u_slice = unsafe { slice::from_raw_parts_mut(outu.data, outu_dim[0] * outu_dim[1]) };
+    let out_s_slice = unsafe { slice::from_raw_parts_mut(outs.data, outs_dim[0]) };
+    let out_vh_slice =
+        unsafe { slice::from_raw_parts_mut(outvh.data, outvh_dim[0] * outvh_dim[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let result = matrix.svd(true, true);
+    out_u_slice.copy_from_slice(result.u.unwrap().transpose().as_slice());
+    out_s_slice.copy_from_slice(result.singular_values.as_slice());
+    out_vh_slice.copy_from_slice(result.v_t.unwrap().transpose().as_slice());
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_inv(mat1: *mut InputMatrix, out: *mut InputMatrix) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out = out.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "np_linalg_inv", file!(), line!(), column!(), &err_msg);
+    }
+    let dim1 = (*mat1).get_dims();
+
+    if dim1[0] != dim1[1] {
+        let err_msg =
+            format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
+        report_error("LinAlgError", "np_linalg_inv", file!(), line!(), column!(), &err_msg);
+    }
+
+    let outdim = out.get_dims();
+    let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    if !matrix.is_invertible() {
+        report_error(
+            "LinAlgError",
+            "np_linalg_inv",
+            file!(),
+            line!(),
+            column!(),
+            "no inverse for Singular Matrix",
+        );
+    }
+    let inv = matrix.try_inverse().unwrap();
+    out_slice.copy_from_slice(inv.transpose().as_slice());
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_pinv(mat1: *mut InputMatrix, out: *mut InputMatrix) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out = out.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "np_linalg_pinv", file!(), line!(), column!(), &err_msg);
+    }
+    let dim1 = (*mat1).get_dims();
+    let outdim = out.get_dims();
+    let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let svd = matrix.svd(true, true);
+    let inv = svd.pseudo_inverse(1e-15);
+
+    match inv {
+        Ok(m) => {
+            out_slice.copy_from_slice(m.transpose().as_slice());
+        }
+        Err(err_msg) => {
+            report_error("LinAlgError", "np_linalg_pinv", file!(), line!(), column!(), err_msg);
+        }
+    }
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_matrix_power(
+    mat1: *mut InputMatrix,
+    mat2: *mut InputMatrix,
+    out: *mut InputMatrix,
+) {
+    let mat1 = mat1.as_mut().unwrap();
+    let mat2 = mat2.as_mut().unwrap();
+    let out = out.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D", mat1.ndims);
+        report_error("ValueError", "np_linalg_matrix_power", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+    let power = unsafe { slice::from_raw_parts_mut(mat2.data, 1) };
+    let power = power[0];
+    let outdim = out.get_dims();
+    let out_slice = unsafe { slice::from_raw_parts_mut(out.data, outdim[0] * outdim[1]) };
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+
+    let abs_pow = power.abs();
+    let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let mut result = matrix1.pow(abs_pow as u32);
+
+    if power < 0.0 {
+        if !result.is_invertible() {
+            report_error(
+                "LinAlgError",
+                "np_linalg_inv",
+                file!(),
+                line!(),
+                column!(),
+                "no inverse for Singular Matrix",
+            );
+        }
+        result = result.try_inverse().unwrap();
+    }
+    out_slice.copy_from_slice(result.transpose().as_slice());
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn np_linalg_det(mat1: *mut InputMatrix, out: *mut InputMatrix) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out = out.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "np_linalg_det", file!(), line!(), column!(), &err_msg);
+    }
+    let dim1 = (*mat1).get_dims();
+    let out_slice = unsafe { slice::from_raw_parts_mut(out.data, 1) };
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    if !matrix.is_square() {
+        let err_msg =
+            format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
+        report_error("LinAlgError", "np_linalg_inv", file!(), line!(), column!(), &err_msg);
+    }
+    out_slice[0] = matrix.determinant();
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn sp_linalg_lu(
+    mat1: *mut InputMatrix,
+    out_l: *mut InputMatrix,
+    out_u: *mut InputMatrix,
+) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out_l = out_l.as_mut().unwrap();
+    let out_u = out_u.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "sp_linalg_lu", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+    let outl_dim = (*out_l).get_dims();
+    let outu_dim = (*out_u).get_dims();
+
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+    let out_l_slice = unsafe { slice::from_raw_parts_mut(out_l.data, outl_dim[0] * outl_dim[1]) };
+    let out_u_slice = unsafe { slice::from_raw_parts_mut(out_u.data, outu_dim[0] * outu_dim[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let (_, l, u) = matrix.lu().unpack();
+
+    out_l_slice.copy_from_slice(l.transpose().as_slice());
+    out_u_slice.copy_from_slice(u.transpose().as_slice());
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn sp_linalg_schur(
+    mat1: *mut InputMatrix,
+    out_t: *mut InputMatrix,
+    out_z: *mut InputMatrix,
+) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out_t = out_t.as_mut().unwrap();
+    let out_z = out_z.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "sp_linalg_schur", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+
+    if dim1[0] != dim1[1] {
+        let err_msg =
+            format!("last 2 dimensions of the array must be square: {0} != {1}", dim1[0], dim1[1]);
+        report_error("LinAlgError", "np_linalg_schur", file!(), line!(), column!(), &err_msg);
+    }
+
+    let out_t_dim = (*out_t).get_dims();
+    let out_z_dim = (*out_z).get_dims();
+
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+    let out_t_slice = unsafe { slice::from_raw_parts_mut(out_t.data, out_t_dim[0] * out_t_dim[1]) };
+    let out_z_slice = unsafe { slice::from_raw_parts_mut(out_z.data, out_z_dim[0] * out_z_dim[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let (z, t) = matrix.schur().unpack();
+
+    out_t_slice.copy_from_slice(t.transpose().as_slice());
+    out_z_slice.copy_from_slice(z.transpose().as_slice());
+}
+
+/// # Safety
+///
+/// `mat1` should point to a valid 2DArray of `f64` floats in row-major order
+#[no_mangle]
+pub unsafe extern "C" fn sp_linalg_hessenberg(
+    mat1: *mut InputMatrix,
+    out_h: *mut InputMatrix,
+    out_q: *mut InputMatrix,
+) {
+    let mat1 = mat1.as_mut().unwrap();
+    let out_h = out_h.as_mut().unwrap();
+    let out_q = out_q.as_mut().unwrap();
+
+    if mat1.ndims != 2 {
+        let err_msg = format!("expected 2D Vector Input, but received {}D input", mat1.ndims);
+        report_error("ValueError", "sp_linalg_hessenberg", file!(), line!(), column!(), &err_msg);
+    }
+
+    let dim1 = (*mat1).get_dims();
+
+    if dim1[0] != dim1[1] {
+        let err_msg =
+            format!("last 2 dimensions of the array must be square: {} != {}", dim1[0], dim1[1]);
+        report_error("LinAlgError", "sp_linalg_hessenberg", file!(), line!(), column!(), &err_msg);
+    }
+
+    let out_h_dim = (*out_h).get_dims();
+    let out_q_dim = (*out_q).get_dims();
+
+    let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0] * dim1[1]) };
+    let out_h_slice = unsafe { slice::from_raw_parts_mut(out_h.data, out_h_dim[0] * out_h_dim[1]) };
+    let out_q_slice = unsafe { slice::from_raw_parts_mut(out_q.data, out_q_dim[0] * out_q_dim[1]) };
+
+    let matrix = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
+    let (q, h) = matrix.hessenberg().unpack();
+
+    out_h_slice.copy_from_slice(h.transpose().as_slice());
+    out_q_slice.copy_from_slice(q.transpose().as_slice());
+}
--- a/nac3standalone/demo/run_demo.sh
+++ b/nac3standalone/demo/run_demo.sh
@ -2,6 +2,9 @@

 set -e

+: "${DEMO_LINALG_STUB:=linalg/target/release/liblinalg.a}"
+: "${DEMO_LINALG_STUB32:=linalg/target/i686-unknown-linux-gnu/release/liblinalg.a}"
+
 if [ -z "$1" ]; then
    echo "No argument supplied"
    exit 1
@ -11,25 +14,26 @@ declare -a nac3args
 while [ $# -ge 1 ]; do
  case "$1" in
    --help)
-      echo "Usage: run_demo.sh [--help] [--out OUTFILE] [--lli] [--debug] -- [NAC3ARGS...]"
+      echo "Usage: run_demo.sh [--help] [--out OUTFILE] [--debug] [-i686] -- [NAC3ARGS...] demo"
      exit
      ;;
    --out)
      shift
      outfile="$1"
      ;;
-    --lli)
-      use_lli=1
-      ;;
    --debug)
      debug=1
      ;;
+    -i686)
+      i686=1
+      ;;
    --)
      shift
      break
      ;;
    *)
-      break
+      echo "Unrecognized argument \"$1\""
+      exit 1
      ;;
  esac
  shift
@ -50,29 +54,19 @@ else
 fi

 rm -f ./*.o ./*.bc demo
-if [ -z "$use_lli" ]; then
+
+if [ -z "$i686" ]; then
  $nac3standalone "${nac3args[@]}"
-
  clang -c -std=gnu11 -Wall -Wextra -O3 -o demo.o demo.c
-  clang -lm -o demo module.o demo.o
-
-  if [ -z "$outfile" ]; then
-    ./demo
-  else
-    ./demo > "$outfile"
-  fi
+  clang -o demo module.o demo.o $DEMO_LINALG_STUB -lm -Wl,--no-warn-search-mismatch
 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
+  $nac3standalone --triple i686-unknown-linux-gnu --target-features +sse2 "${nac3args[@]}"
+  clang -m32 -c -std=gnu11 -Wall -Wextra -O3 -msse2 -o demo.o demo.c
+  clang -m32 -o demo module.o demo.o $DEMO_LINALG_STUB32 -lm -Wl,--no-warn-search-mismatch
+fi
+
+if [ -z "$outfile" ]; then
+  ./demo
+else
+  ./demo > "$outfile"
 fi
--- a/nac3standalone/demo/src/assignment.py
+++ b/nac3standalone/demo/src/assignment.py
@ -0,0 +1,76 @@
+@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(len(ys))
+    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(len(zs))
+    output_int32(zs[0])
+    output_int32(zs[1])
+    output_int32(zs[2])
+
+def example3():
+    *xs, y, z = (1, 2, 3, 4, 5)
+    output_int32(len(xs))
+    output_int32(xs[0])
+    output_int32(xs[1])
+    output_int32(xs[2])
+    output_int32(y)
+    output_int32(z)
+
+def example4():
+    *xs, y, z = (4, 5)
+    output_int32(len(xs))
+    output_int32(y)
+    output_int32(z)
+
+def example5():
+    # 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 example6():
+    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()
+    example6()
+    return 0
--- a/nac3standalone/demo/src/inheritance.py
+++ b/nac3standalone/demo/src/inheritance.py
@ -4,51 +4,64 @@ from __future__ import annotations
 def output_int32(x: int32):
    ...

-class C:
-    c: int32
+class A:
    a: int32
-    b: int32
-    def __init__(self):
-        self.a = 42
-        self.b = 33
-        self.c = 12

-    def test2(self):
-        output_int32(999)
-        output_int32(self.a)
-        output_int32(self.b)
-        output_int32(self.c)
-
-        self.a = 23
-
-class D(C):
-    def __init__(self):
-        # C.__init__(self)
-        self.test()
-        self.b = 1
-        self.c = 2
-        C.test2(self)
-        #self.a()
-        # self.test()
-        # C.test2(self)
-        # self.a = 2
-        # __main__.C.__init__(self)
+    def __init__(self, a: int32):
+        self.a = a
    
-    def test(self):
-        self.a = 2
-        
+    def output_all_fields(self):
+        output_int32(self.a)
+    
+    def set_a(self, a: int32):
+        self.a = a

+class B(A):
+    b: int32
+
+    def __init__(self, b: int32):
+        A.__init__(self, b + 1)
+        self.set_b(b)
+    
+    def output_parent_fields(self):
+        A.output_all_fields(self)
+
+    def output_all_fields(self):
+        A.output_all_fields(self)
+        output_int32(self.b)
+    
+    def set_b(self, b: int32):
+        self.b = b
+
+class C(B):
+    c: int32
+
+    def __init__(self, c: int32):
+        B.__init__(self, c + 1)
+        self.c = c
+    
+    def output_parent_fields(self):
+        B.output_all_fields(self)
+
+    def output_all_fields(self):
+        B.output_all_fields(self)
+        output_int32(self.c)
+    
+    def set_c(self, c: int32):
+        self.c = c

 def run() -> int32:
-    x = D()
-    output_int32(x.a)
-    output_int32(x.b)
-    output_int32(x.c)
+    ccc = C(10)
+    ccc.output_all_fields()
+    ccc.set_a(1)
+    ccc.set_b(2)
+    ccc.set_c(3)
+    ccc.output_all_fields()

+    bbb = B(10)
+    bbb.set_a(9)
+    bbb.set_b(8)
+    bbb.output_all_fields()
+    ccc.output_all_fields()

-
-    # aaa = A(5)
-    # bbb = B(2)
-    # aaa.f1()
-    # bbb.f1()
    return 0
--- a/nac3standalone/demo/src/ndarray.py
+++ b/nac3standalone/demo/src/ndarray.py
@ -1429,6 +1429,142 @@ def test_ndarray_nextafter_broadcast_rhs_scalar():
    output_ndarray_float_2(nextafter_x_zeros)
    output_ndarray_float_2(nextafter_x_ones)

+def test_ndarray_transpose():
+    x: ndarray[float, 2] = np_array([[1., 2., 3.], [4., 5., 6.]])
+    y = np_transpose(x)
+    z = np_transpose(y)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(y)
+
+def test_ndarray_reshape():
+    w: ndarray[float, 1] = np_array([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
+    x = np_reshape(w, (1, 2, 1, -1))
+    y = np_reshape(x, [2, -1])
+    z = np_reshape(y, 10)
+
+    x1: ndarray[int32, 1] = np_array([1, 2, 3, 4])
+    x2: ndarray[int32, 2] = np_reshape(x1, (2, 2))
+
+    output_ndarray_float_1(w)
+    output_ndarray_float_2(y)
+    output_ndarray_float_1(z)
+
+def test_ndarray_dot():
+    x1: ndarray[float, 1] = np_array([5.0, 1.0, 4.0, 2.0])
+    y1: ndarray[float, 1] = np_array([5.0, 1.0, 6.0, 6.0])
+    z1 = np_dot(x1, y1)
+
+    x2: ndarray[int32, 1] = np_array([5, 1, 4, 2])
+    y2: ndarray[int32, 1] = np_array([5, 1, 6, 6])
+    z2 = np_dot(x2, y2)
+
+    x3: ndarray[bool, 1] = np_array([True, True, True, True])
+    y3: ndarray[bool, 1] = np_array([True, True, True, True])
+    z3 = np_dot(x3, y3)
+
+    z4 = np_dot(2, 3)
+    z5 = np_dot(2., 3.)
+    z6 = np_dot(True, False)
+
+    output_float64(z1)
+    output_int32(z2)
+    output_bool(z3)
+    output_int32(z4)
+    output_float64(z5)
+    output_bool(z6)
+
+def test_ndarray_cholesky():
+    x: ndarray[float, 2] = np_array([[5.0, 1.0], [1.0, 4.0]])
+    y = np_linalg_cholesky(x)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(y)
+
+def test_ndarray_qr():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
+    y, z  = np_linalg_qr(x)
+
+    output_ndarray_float_2(x)
+
+    # QR Factorization is not unique and gives different results in numpy and nalgebra
+    # Reverting the decomposition to compare the initial arrays
+    a = y @ z
+    output_ndarray_float_2(a)
+
+def test_ndarray_linalg_inv():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
+    y = np_linalg_inv(x)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(y)
+
+def test_ndarray_pinv():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5]])
+    y = np_linalg_pinv(x)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(y)
+
+def test_ndarray_matrix_power():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
+    y = np_linalg_matrix_power(x, -9)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(y)
+
+def test_ndarray_det():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
+    y = np_linalg_det(x)
+
+    output_ndarray_float_2(x)
+    output_float64(y)
+
+def test_ndarray_schur():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
+    t, z = sp_linalg_schur(x)
+
+    output_ndarray_float_2(x)
+
+    # Schur Factorization is not unique and gives different results in scipy and nalgebra
+    # Reverting the decomposition to compare the initial arrays
+    a = (z @ t) @ np_linalg_inv(z)
+    output_ndarray_float_2(a)
+
+def test_ndarray_hessenberg():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 5.0, 8.5]])
+    h, q = sp_linalg_hessenberg(x)
+
+    output_ndarray_float_2(x)
+
+    # Hessenberg Factorization is not unique and gives different results in scipy and nalgebra
+    # Reverting the decomposition to compare the initial arrays
+    a = (q @ h) @ np_linalg_inv(q)
+    output_ndarray_float_2(a)
+
+
+def test_ndarray_lu():
+    x: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5]])
+    l, u = sp_linalg_lu(x)
+
+    output_ndarray_float_2(x)
+    output_ndarray_float_2(l)
+    output_ndarray_float_2(u)
+
+
+def test_ndarray_svd():
+    w: ndarray[float, 2] = np_array([[-5.0, -1.0, 2.0], [-1.0, 4.0, 7.5], [-1.0, 8.0, -8.5]])
+    x, y, z = np_linalg_svd(w)
+
+    output_ndarray_float_2(w)
+
+    # SVD Factorization is not unique and gives different results in numpy and nalgebra
+    # Reverting the decomposition to compare the initial arrays
+    a = x @ z
+    output_ndarray_float_2(a)
+    output_ndarray_float_1(y)
+
+
 def run() -> int32:
    test_ndarray_ctor()
    test_ndarray_empty()
@ -1533,6 +1669,7 @@ def run() -> int32:

    test_ndarray_round()
    test_ndarray_floor()
+    test_ndarray_ceil()
    test_ndarray_min()
    test_ndarray_minimum()
    test_ndarray_minimum_broadcast()
@ -1607,5 +1744,18 @@ def run() -> int32:
    test_ndarray_nextafter_broadcast()
    test_ndarray_nextafter_broadcast_lhs_scalar()
    test_ndarray_nextafter_broadcast_rhs_scalar()
-
+    test_ndarray_transpose()
+    test_ndarray_reshape()
+    
+    test_ndarray_dot()
+    test_ndarray_cholesky()
+    test_ndarray_qr()
+    test_ndarray_svd()
+    test_ndarray_linalg_inv()
+    test_ndarray_pinv()
+    test_ndarray_matrix_power()
+    test_ndarray_det()
+    test_ndarray_lu()
+    test_ndarray_schur()
+    test_ndarray_hessenberg()
    return 0
--- a/nac3standalone/demo/src/str.py
+++ b/nac3standalone/demo/src/str.py
@ -0,0 +1,30 @@
+@extern
+def output_bool(x: bool):
+    ...
+
+
+def str_eq():
+    output_bool("" == "")
+    output_bool("a" == "")
+    output_bool("a" == "b")
+    output_bool("b" == "a")
+    output_bool("a" == "a")
+    output_bool("test string" == "test string")
+    output_bool("test string1" == "test string2")
+
+
+def str_ne():
+    output_bool("" != "")
+    output_bool("a" != "")
+    output_bool("a" != "b")
+    output_bool("b" != "a")
+    output_bool("a" != "a")
+    output_bool("test string" != "test string")
+    output_bool("test string1" != "test string2")
+
+
+def run() -> int32:
+    str_eq()
+    str_ne()
+
+    return 0
--- a/nac3standalone/demo/src/tuple.py
+++ b/nac3standalone/demo/src/tuple.py
@ -1,3 +1,7 @@
+@extern
+def output_bool(b: bool):
+    ...
+
@extern
 def output_int32_list(x: list[int32]):
    ...
@ -13,6 +17,41 @@ class A:
        self.a = a
        self.b = b

+
+def test_tuple_eq():
+    # 0-len
+    output_bool(() == ())
+    # 1-len
+    output_bool((1,) == ())
+    output_bool(() == (1,))
+    output_bool((1,) == (1,))
+    output_bool((1,) == (2,))
+    # # 2-len
+    output_bool((1, 2) == ())
+    output_bool(() == (1, 2))
+    output_bool((1,) == (1, 2))
+    output_bool((1, 2) == (1,))
+    output_bool((2, 2) == (1, 2))
+    output_bool((1, 2) == (2, 2))
+
+
+def test_tuple_ne():
+    # 0-len
+    output_bool(() != ())
+    # 1-len
+    output_bool((1,) != ())
+    output_bool(() != (1,))
+    output_bool((1,) != (1,))
+    output_bool((1,) != (2,))
+    # 2-len
+    output_bool((1, 2) != ())
+    output_bool(() != (1, 2))
+    output_bool((1,) != (1, 2))
+    output_bool((1, 2) != (1,))
+    output_bool((2, 2) != (1, 2))
+    output_bool((1, 2) != (2, 2))
+
+
 def run() -> int32:
    data = [0, 1, 2, 3]

@ -25,5 +64,15 @@ def run() -> int32:
        output_int32(tl[0][0])
        output_int32(tl[0][1])
        output_int32(tl[1])
-    
+
+    output_int32(len(()))
+    output_int32(len((1,)))
+    output_int32(len((1, 2)))
+    output_int32(len((1, 2, 3)))
+    output_int32(len((1, 2, 3, 4)))
+    output_int32(len((1, 2, 3, 4, 5)))
+
+    test_tuple_eq()
+    test_tuple_ne()
+
    return 0
--- a/nac3standalone/demo/src/vararg.py
+++ b/nac3standalone/demo/src/vararg.py
@ -0,0 +1,11 @@
+def f(*args: int32):
+    pass
+
+
+def run() -> int32:
+    f()
+    f(1)
+    f(1, 2)
+    f(1, 2, 3)
+
+    return 0
--- a/nac3standalone/src/basic_symbol_resolver.rs
+++ b/nac3standalone/src/basic_symbol_resolver.rs
@ -15,7 +15,6 @@ use std::{collections::HashMap, sync::Arc};
 pub struct ResolverInternal {
    pub id_to_type: Mutex<HashMap<StrRef, Type>>,
    pub id_to_def: Mutex<HashMap<StrRef, DefinitionId>>,
-    pub class_names: Mutex<HashMap<StrRef, Type>>,
    pub module_globals: Mutex<HashMap<StrRef, SymbolValue>>,
    pub str_store: Mutex<HashMap<String, i32>>,
 }
@ -59,7 +58,7 @@ impl SymbolResolver for Resolver {
        _: StrRef,
        _: &mut CodeGenContext<'ctx, '_>,
    ) -> Option<ValueEnum<'ctx>> {
-        None
+        unimplemented!()
    }

    fn get_identifier_def(&self, id: StrRef) -> Result<DefinitionId, HashSet<String>> {
--- a/nac3standalone/src/main.rs
+++ b/nac3standalone/src/main.rs
@ -9,15 +9,11 @@
 #![allow(clippy::too_many_lines, clippy::wildcard_imports)]

 use clap::Parser;
+use inkwell::context::Context;
 use inkwell::{
    memory_buffer::MemoryBuffer, passes::PassBuilderOptions, support::is_multithreaded, targets::*,
    OptimizationLevel,
 };
-use parking_lot::{Mutex, RwLock};
-use std::collections::HashSet;
-use std::num::NonZeroUsize;
-use std::{collections::HashMap, fs, path::Path, sync::Arc};
-
 use nac3core::{
    codegen::{
        concrete_type::ConcreteTypeStore, irrt::load_irrt, CodeGenLLVMOptions,
@ -39,6 +35,10 @@ use nac3parser::{
    ast::{Constant, Expr, ExprKind, StmtKind, StrRef},
    parser,
 };
+use parking_lot::{Mutex, RwLock};
+use std::collections::HashSet;
+use std::num::NonZeroUsize;
+use std::{collections::HashMap, fs, path::Path, sync::Arc};

 mod basic_symbol_resolver;
 use basic_symbol_resolver::*;
@ -241,8 +241,6 @@ fn handle_assignment_pattern(
 }

 fn main() {
-    const SIZE_T: u32 = usize::BITS;
-
    let cli = CommandLineArgs::parse();
    let CommandLineArgs { file_name, threads, opt_level, emit_llvm, triple, mcpu, target_features } =
        cli;
@ -275,6 +273,24 @@ fn main() {
        _ => OptimizationLevel::Aggressive,
    };

+    let target_machine_options = CodeGenTargetMachineOptions {
+        triple,
+        cpu: mcpu,
+        features: target_features,
+        reloc_mode: RelocMode::PIC,
+        ..host_target_machine
+    };
+
+    let size_t = Context::create()
+        .ptr_sized_int_type(
+            &target_machine_options
+                .create_target_machine(opt_level)
+                .map(|tm| tm.get_target_data())
+                .unwrap(),
+            None,
+        )
+        .get_bit_width();
+
    let program = match fs::read_to_string(file_name.clone()) {
        Ok(program) => program,
        Err(err) => {
@ -283,14 +299,13 @@ 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![], vec![], ComposerConfig::default(), size_t);

    let internal_resolver: Arc<ResolverInternal> = ResolverInternal {
        id_to_type: builtins_ty.into(),
        id_to_def: builtins_def.into(),
-        class_names: Mutex::default(),
        module_globals: Mutex::default(),
        str_store: Mutex::default(),
    }
@ -298,6 +313,15 @@ fn main() {
    let resolver =
        Arc::new(Resolver(internal_resolver.clone())) as Arc<dyn SymbolResolver + Send + Sync>;

+    let context = inkwell::context::Context::create();
+
+    // Process IRRT
+    let irrt = load_irrt(&context, resolver.as_ref());
+    if emit_llvm {
+        irrt.write_bitcode_to_path(Path::new("irrt.bc"));
+    }
+
+    // Process the Python script
    let parser_result = parser::parse_program(&program, file_name.into()).unwrap();

    for stmt in parser_result {
@ -373,16 +397,7 @@ fn main() {
        instance_to_stmt[""].clone()
    };

-    let llvm_options = CodeGenLLVMOptions {
-        opt_level,
-        target: CodeGenTargetMachineOptions {
-            triple,
-            cpu: mcpu,
-            features: target_features,
-            reloc_mode: RelocMode::PIC,
-            ..host_target_machine
-        },
-    };
+    let llvm_options = CodeGenLLVMOptions { opt_level, target: target_machine_options };

    let task = CodeGenTask {
        subst: Vec::default(),
@ -405,14 +420,14 @@ 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);
    registry.wait_tasks_complete(handles);

+    // Link all modules together into `main`
    let buffers = membuffers.lock();
-    let context = inkwell::context::Context::create();
    let main = context
        .create_module_from_ir(MemoryBuffer::create_from_memory_range(&buffers[0], "main"))
        .unwrap();
@ -432,12 +447,9 @@ fn main() {
        main.link_in_module(other).unwrap();
    }

-    let irrt = load_irrt(&context);
-    if emit_llvm {
-        irrt.write_bitcode_to_path(Path::new("irrt.bc"));
-    }
    main.link_in_module(irrt).unwrap();

+    // Private all functions except "run"
    let mut function_iter = main.get_first_function();
    while let Some(func) = function_iter {
        if func.count_basic_blocks() > 0 && func.get_name().to_str().unwrap() != "run" {
@ -446,6 +458,7 @@ fn main() {
        function_iter = func.get_next_function();
    }

+    // Optimize `main`
    let target_machine = llvm_options
        .target
        .create_target_machine(llvm_options.opt_level)
@ -459,6 +472,7 @@ fn main() {
        panic!("Failed to run optimization for module `main`: {}", err.to_string());
    }

+    // Write output
    target_machine
        .write_to_file(&main, FileType::Object, Path::new("module.o"))
        .expect("couldn't write module to file");
--- a/pyo3_output/nac3artiq.so
+++ b/pyo3_output/nac3artiq.so
Author	SHA1	Message	Date
Sebastien Bourdeauducq	122983f11c	flake: update dependencies	2024-08-30 14:45:38 +08:00
David Mak	71c3a65a31	[core] codegen/stmt: Fix obtaining return type of sret functions	2024-08-29 19:15:30 +08:00
David Mak	8c540d1033	[core] codegen/stmt: Add more casts for boolean types	2024-08-29 16:36:32 +08:00
David Mak	0cc60a3d33	[core] codegen/expr: Fix missing cast to i1	2024-08-29 16:36:32 +08:00
David Mak	a59c26aa99	[artiq] Fix RPC of ndarrays from host	2024-08-29 16:08:45 +08:00
David Mak	02d93b11d1	[meta] Update dependencies	2024-08-29 14:32:21 +08:00
lyken	59cad5bfe1	standalone: clang-format demo.c	2024-08-29 10:37:24 +08:00
lyken	4318f8de84	standalone: improve src/assignment.py	2024-08-29 10:33:58 +08:00
David Mak	15ac00708a	[core] Use quoted include paths instead of angled brackets This is preferred for user-defined headers.	2024-08-28 16:37:03 +08:00
lyken	c8dfdcfdea	standalone & artiq: remove class_names from resolver	2024-08-27 23:43:40 +08:00
Sébastien Bourdeauducq	600a5c8679	Revert "standalone: reformat demo.c" This reverts commit `308edb8237`.	2024-08-27 23:06:49 +08:00
lyken	22c4d25802	core/typecheck: add missing typecheck in matmul	2024-08-27 22:59:39 +08:00
lyken	308edb8237	standalone: reformat demo.c	2024-08-27 22:55:22 +08:00
lyken	9848795dcc	core/irrt: add exceptions and debug utils	2024-08-27 22:55:22 +08:00
lyken	58222feed4	core/irrt: split into headers	2024-08-27 22:55:22 +08:00
lyken	518f21d174	core/irrt: build.rs capture IR defined constants	2024-08-27 22:55:22 +08:00
lyken	e8e49684bf	core/irrt: build.rs capture IR defined types	2024-08-27 22:55:22 +08:00
lyken	b2900b4883	core/irrt: use +std=c++20 to compile To explicitly set the C++ variant and avoid inconsistencies.	2024-08-27 22:55:22 +08:00
lyken	c6dade1394	core/irrt: reformat	2024-08-27 22:55:22 +08:00
lyken	7e3fcc0845	add .clang-format	2024-08-27 22:55:22 +08:00
lyken	d3b4c60d7f	core/irrt: comment build.rs & move irrt to nac3core/irrt	2024-08-27 22:55:22 +08:00
abdul124	5b2b6db7ed	core: improve error messages	2024-08-26 18:37:55 +08:00
abdul124	15e62f467e	standalone: add tests for polymorphism	2024-08-26 18:37:55 +08:00
abdul124	2c88924ff7	core: add support for simple polymorphism	2024-08-26 18:37:55 +08:00
abdul124	a744b139ba	core: allow Call and AnnAssign in init block	2024-08-26 18:37:55 +08:00
David Mak	2b2b2dbf8f	[core] Fix resolution of exception names in raise short form Previous implementation fails as `resolver.get_identifier_def` in ARTIQ would return the exception __init__ function rather than the class. We fix this by limiting the exception class resolution to only include raise statements, and to force the exception name to always be treated as a class. Fixes #501.	2024-08-26 18:35:02 +08:00
David Mak	d9f96dab33	[core] Add codegen_unreachable	2024-08-23 13:10:55 +08:00
David Mak	c5ae0e7c36	[standalone] Add tests for tuple equality	2024-08-21 16:25:32 +08:00
David Mak	b8dab6cf7c	[standalone] Add tests for string equality	2024-08-21 16:25:32 +08:00
David Mak	4d80ba38b7	[core] codegen/expr: Implement comparison of tuples	2024-08-21 16:25:32 +08:00
David Mak	33929bda24	[core] typecheck/typedef: Add support for tuple methods	2024-08-21 16:25:32 +08:00
David Mak	a8e92212c0	[core] codegen/expr: Implement string equality	2024-08-21 16:25:32 +08:00
David Mak	908271014a	[core] typecheck/magic_methods: Add equality methods to string	2024-08-21 16:25:32 +08:00
David Mak	c407622f5c	[core] codegen/expr: Add compilation error for unsupported cmpop	2024-08-21 15:46:13 +08:00
David Mak	d7952d0629	[core] codegen/expr: Fix assertions not generated for -O0	2024-08-21 15:36:54 +08:00
David Mak	ca1395aed6	[core] codegen: Remove redundant return	2024-08-21 15:36:54 +08:00
David Mak	7799aa4987	[meta] Do not specify rev in dependency version	2024-08-21 15:36:54 +08:00
David Mak	76016a26ad	[meta] Apply clippy suggestions	2024-08-21 13:07:57 +08:00
lyken	8532bf5206	standalone: add missing test_ndarray_ceil() run	2024-08-21 11:39:00 +08:00
lyken	2cf64d8608	apply clippy comment changes	2024-08-21 11:21:10 +08:00
lyken	706759adb2	artiq: apply cargo fmt	2024-08-21 11:21:10 +08:00
lyken	b90cf2300b	core/fix: add missing lifetime in gen_for*	2024-08-21 11:05:30 +08:00
Sebastien Bourdeauducq	0fc26df29e	flake: update nixpkgs	2024-08-19 23:53:15 +08:00
David Mak	0b074c2cf2	[artiq] symbol_resolver: Set private linkage for constants	2024-08-19 14:41:43 +08:00
Sébastien Bourdeauducq	a0f6961e0e	cargo: update dependencies	2024-08-19 13:15:03 +08:00
David Mak	b1c5c2e1d4	[artiq] Fix RPC of ndarrays to host	2024-08-15 15:41:24 +08:00
David Mak	69320a6cf1	[artiq] Fix LLVM representation of strings Should be `%str` rather than `[N x i8]`.	2024-08-14 09:30:08 +08:00
David Mak	9e0601837a	core: Add compile-time feature to disable escape analysis	2024-08-14 09:29:48 +08:00
lyken	432c81a500	core: update insta after #489	2024-08-13 15:30:34 +08:00
David Mak	6beff7a268	[artiq] Implement core_log and rtio_log in terms of polymorphic_print Implementation mostly references the original implementation in Python.	2024-08-13 15:19:03 +08:00
David Mak	6ca7aecd4a	[artiq] Add core_log and rtio_log function declarations	2024-08-13 15:19:03 +08:00
David Mak	8fd7216243	[core] toplevel/composer: Add lateinit_builtins This is required for the new core_log and rtio_log functions, which take a generic type as its parameter. However, in ARTIQ builtins are initialized using one unifier and then actually used by another unifier. lateinit_builtins workaround this issue by deferring the initialization of functions requiring type variables until the actual unifier is ready.	2024-08-13 15:19:03 +08:00
David Mak	4f5e417012	[core] codegen: Add function to get format constants for integers	2024-08-13 15:19:03 +08:00
David Mak	a0614bad83	[core] codegen/expr: Make gen_string return `StructValue` So that it is clear that the value itself is returned rather than a pointer to the struct or its data.	2024-08-13 15:19:03 +08:00
David Mak	5539d144ed	[core] Add `CodeGenContext::build_in_bounds_gep_and_load` For safer accesses to `gep`-able values and faster fails.	2024-08-13 15:19:03 +08:00
David Mak	b3891b9a0d	standalone: Fix several issues post script refactoring - Add helptext for check_demos.sh - Add back support for using debug NAC3 for running tests - Output error message when argument is not recognized - Fixed last non-demo script argument being ignored - Add back SSE2 requirement to NAC3 (required for mandelbrot)	2024-08-13 15:19:03 +08:00
David Mak	6fb8939179	[meta] Update dependencies	2024-08-13 15:19:03 +08:00
lyken	973dc5041a	core/typecheck: Support tuple arg type in len()	2024-08-13 15:02:59 +08:00
David Mak	d0da688aa7	standalone: Add tuple len test	2024-08-13 15:02:59 +08:00
David Mak	12c4e1cf48	core/toplevel/builtins: Add support for len() on tuples	2024-08-13 15:02:59 +08:00
David Mak	9b988647ed	core/toplevel/builtins: Extract len() into builtin function	2024-08-13 15:02:59 +08:00
lyken	35a7cecc12	core/typecheck: fix np_array ndmin bug	2024-08-13 12:50:04 +08:00
lyken	7e3d87f841	core/codegen: fix bug in call_ceil function	2024-08-07 16:40:55 +08:00
David Mak	ac0d83ef98	standalone: Add vararg.py	2024-08-06 11:48:42 +08:00
David Mak	3ff6db1a29	core/codegen: Add va_start and va_end intrinsics	2024-08-06 11:48:42 +08:00
David Mak	d7b806afb4	core/codegen: Implement support for va_info on supported architectures	2024-08-06 11:48:40 +08:00
David Mak	fac60c3974	core/codegen: Handle vararg in function generation	2024-08-06 11:46:00 +08:00
David Mak	f5fb504a15	core/codegen/expr: Implement vararg handling in gen_call	2024-08-06 11:46:00 +08:00
David Mak	faa3bb97ad	core/typecheck/typedef: Add vararg to Unifier::stringify	2024-08-06 11:46:00 +08:00
David Mak	6a64c9d1de	core/typecheck/typedef: Add is_vararg_ctx to TTuple	2024-08-06 11:45:54 +08:00
David Mak	3dc8498202	core/typecheck/typedef: Handle vararg parameters in unify_call	2024-08-06 11:43:13 +08:00
David Mak	cbf79c5e9c	core/typecheck/typedef: Add is_vararg to FuncArg, ConcreteFuncArg	2024-08-06 11:43:13 +08:00
David Mak	b8aa17bf8c	core/toplevel/composer: Add parsing for vararg parameter	2024-08-06 10:52:24 +08:00
David Mak	f5b998cd9c	core/codegen: Remove unnecessary mut from get_llvm*_type	2024-08-06 10:52:24 +08:00
David Mak	c36f85ecb9	meta: Update dependencies	2024-08-06 10:52:24 +08:00
lyken	3a8c385e01	core/typecheck: fix missing ExprKind::Asterisk in fix_assignment_target_context	2024-08-05 19:30:48 +08:00
lyken	221de4d06a	core/codegen: add missing comment	2024-08-05 19:30:48 +08:00
lyken	fb9fe8edf2	core: reimplement assignment type inference and codegen - distinguish between setitem and getitem - allow starred assignment targets, but the assigned value would be a tuple - allow both [...] and (...) to be target lists	2024-08-05 19:30:48 +08:00
lyken	894083c6a3	core/codegen: refactor gen_{for,comprehension} to match on iter type	2024-08-05 19:30:48 +08:00
Sébastien Bourdeauducq	669c6aca6b	clean up and fix 32-bit demos	2024-08-05 19:04:25 +08:00
abdul124	63d2b49b09	core: remove np_linalg_matmul	2024-08-05 11:44:55 +08:00
abdul124	bf709889c4	standalone/demo: separate linalg functions from main workspace	2024-08-05 11:44:54 +08:00
abdul124	1c72698d02	core: add np_linalg_det and np_linalg_matrix_power functions	2024-07-31 18:02:54 +08:00
abdul124	54f883f0a5	core: implement np_dot using LLVM_IR	2024-07-31 15:53:51 +08:00
abdul124	4a6845dac6	standalone: add np.transpose and np.reshape functions	2024-07-31 13:23:07 +08:00
abdul124	00236f48bc	core: add np.transpose and np.reshape functions	2024-07-31 13:23:07 +08:00
abdul124	a3e6bb2292	core/helper: add linalg section	2024-07-31 13:23:07 +08:00
abdul124	17171065b1	standalone: link linalg at runtime	2024-07-31 13:23:07 +08:00
abdul124	540b35ec84	standalone: move linalg functions to demo	2024-07-31 13:23:05 +08:00
abdul124	4bb00c52e3	core/builtin_fns: improve error reporting	2024-07-31 13:21:31 +08:00
abdul124	faf07527cb	standalone: add runtime implementation for linalg functions	2024-07-31 13:21:28 +08:00
abdul124	d6a4d0a634	standalone: add linalg methods and tests	2024-07-29 16:48:06 +08:00
abdul124	2242c5af43	core: add linalg methods	2024-07-29 16:48:06 +08:00
David Mak	318a675ea6	standalone: Rename -m32 to -i386	2024-07-29 14:58:58 +08:00
David Mak	32e52ce198	standalone: Revert using uint32_t as slice length Turns out list and str have always been size_t.	2024-07-29 14:58:29 +08:00
Sebastien Bourdeauducq	665ca8e32d	cargo: update dependencies	2024-07-27 22:24:56 +08:00
Sebastien Bourdeauducq	12c12b1d80	flake: update nixpkgs	2024-07-27 22:22:20 +08:00
lyken	72972fa909	core/toplevel: add more numpy categories	2024-07-27 21:57:47 +08:00
lyken	142cd48594	core/toplevel: reorder PrimDef::details	2024-07-27 21:57:47 +08:00
lyken	8adfe781c5	core/toplevel: fix PrimDef method names	2024-07-27 21:57:47 +08:00
lyken	339b74161b	core/toplevel: reorganize PrimDef	2024-07-27 21:57:47 +08:00
David Mak	8c5ba37d09	standalone: Add 32-bit execution tests to check_demo.sh	2024-07-26 13:35:40 +08:00
David Mak	05a8948ff2	core: Minor cleanup to use ListValue APIs	2024-07-26 13:35:40 +08:00
David Mak	6d171ec284	core: Add label name and hooks to gen_for functions	2024-07-26 13:35:40 +08:00
David Mak	0ba68f6657	core: Set target triple and datalayout for each module Fixes an issue with inconsistent pointer sizes causing crashes.	2024-07-26 13:35:40 +08:00
David Mak	693b2a8863	core: Add support for 32-bit size_t on 64-bit targets	2024-07-26 13:35:40 +08:00
David Mak	5faeede0e5	Determine size_t using LLVM target machine	2024-07-26 13:35:38 +08:00
David Mak	266707df9d	standalone: Add support for running 32-bit binaries	2024-07-26 13:32:38 +08:00
David Mak	3d3c258756	standalone: Remove support for --lli	2024-07-26 13:32:38 +08:00
David Mak	ed1182cb24	standalone: Update format specifiers for exceptions Use platform-agnostic identifiers instead.	2024-07-26 13:32:37 +08:00
David Mak	fd025c1137	standalone: Use uint32_t for cslice length Matching the expected type of string and list slices.	2024-07-26 13:32:21 +08:00
David Mak	f139db9af9	meta: Update dependencies	2024-07-26 10:33:02 +08:00