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standalone: add runtime implementation for linalg functions

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This commit is contained in:
abdul124 2024-07-25 12:22:05 +08:00
parent d6a4d0a634
commit faf07527cb
6 changed files with 593 additions and 0 deletions
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106
Cargo.lock generated
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@ -73,6 +73,15 @@ dependencies = [
"windows-sys",
]
[[package]]
name = "approx"
version = "0.5.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "cab112f0a86d568ea0e627cc1d6be74a1e9cd55214684db5561995f6dad897c6"
dependencies = [
"num-traits",
]
[[package]]
name = "ascii-canvas"
version = "3.0.0"
@ -247,6 +256,12 @@ version = "0.2.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7a81dae078cea95a014a339291cec439d2f232ebe854a9d672b796c6afafa9b7"
[[package]]
name = "cslice"
version = "0.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0f8cb7306107e4b10e64994de6d3274bd08996a7c1322a27b86482392f96be0a"
[[package]]
name = "dirs-next"
version = "2.0.0"
@ -521,6 +536,12 @@ dependencies = [
"windows-targets",
]
[[package]]
name = "libm"
version = "0.2.8"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "4ec2a862134d2a7d32d7983ddcdd1c4923530833c9f2ea1a44fc5fa473989058"
[[package]]
name = "libredox"
version = "0.1.3"
@ -531,6 +552,14 @@ dependencies = [
"libc",
]
[[package]]
name = "linalg_externfns"
version = "0.1.0"
dependencies = [
"cslice",
"nalgebra",
]
[[package]]
name = "linked-hash-map"
version = "0.5.6"
@ -659,17 +688,70 @@ version = "0.1.0"
dependencies = [
"clap",
"inkwell",
"linalg_externfns",
"nac3core",
"nac3parser",
"parking_lot",
]
[[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 = "new_debug_unreachable"
version = "1.0.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "650eef8c711430f1a879fdd01d4745a7deea475becfb90269c06775983bbf086"
[[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 = "once_cell"
version = "1.19.0"
@ -699,6 +781,12 @@ dependencies = [
"windows-targets",
]
[[package]]
name = "paste"
version = "1.0.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "57c0d7b74b563b49d38dae00a0c37d4d6de9b432382b2892f0574ddcae73fd0a"
[[package]]
name = "petgraph"
version = "0.6.5"
@ -1070,6 +1158,18 @@ dependencies = [
"yaml-rust",
]
[[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 = "similar"
version = "2.6.0"
@ -1230,6 +1330,12 @@ dependencies = [
"crunchy",
]
[[package]]
name = "typenum"
version = "1.17.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "42ff0bf0c66b8238c6f3b578df37d0b7848e55df8577b3f74f92a69acceeb825"
[[package]]
name = "unic-char-property"
version = "0.9.0"

1
Cargo.toml
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@ -4,6 +4,7 @@ members = [
"nac3ast",
"nac3parser",
"nac3core",
"nac3standalone/linalg_externfns",
"nac3standalone",
"nac3artiq",
"runkernel",

1
nac3standalone/Cargo.toml
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@ -8,6 +8,7 @@ edition = "2021"
parking_lot = "0.12"
nac3parser = { path = "../nac3parser" }
nac3core = { path = "../nac3core" }
linalg_externfns = { path = "./linalg_externfns" }
[dependencies.clap]
version = "4.5"

11
nac3standalone/linalg_externfns/Cargo.toml Normal file
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@ -0,0 +1,11 @@
[package]
name = "linalg_externfns"
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"

408
nac3standalone/linalg_externfns/src/lib.rs Normal file
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@ -0,0 +1,408 @@
/// 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
mod runtime_exception;
use core::slice;
use nalgebra::DMatrix;
macro_rules! raise_exn {
($name:expr, $fn_name:expr, $message:expr, $param0:expr, $param1:expr, $param2:expr) => {{
use cslice::AsCSlice;
let name_id = $crate::runtime_exception::get_exception_id($name);
let exn = $crate::runtime_exception::Exception {
id: name_id,
file: file!().as_c_slice(),
line: line!(),
column: column!(),
// https://github.com/rust-lang/rfcs/pull/1719
function: $fn_name.as_c_slice(),
message: $message.as_c_slice(),
param: [$param0, $param1, $param2],
};
#[allow(unused_unsafe)]
unsafe {
$crate::runtime_exception::raise(&exn)
}
}};
($name:expr, $fn_name:expr, $message:expr) => {{
raise_exn!($name, $fn_name, $message, 0, 0, 0)
}};
}
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` and `mat2` should point to a valid 1DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_dot(mat1: *mut InputMatrix, mat2: *mut InputMatrix) -> f64 {
let mat1 = mat1.as_mut().unwrap();
let mat2 = mat2.as_mut().unwrap();
if !(mat1.ndims == 1 && mat2.ndims == 1) {
let err_msg = format!(
"expected 1D Vector Input, but received {}D and {}D input",
mat1.ndims, mat2.ndims
);
raise_exn!("ValueError", "np_dot", err_msg);
}
let dim1 = (*mat1).get_dims();
let dim2 = (*mat2).get_dims();
if dim1[0] != dim2[0] {
let err_msg = format!("shapes ({},) and ({},) not aligned", dim1[0], dim2[0]);
raise_exn!("ValueError", "np_dot", err_msg);
}
let data_slice1 = unsafe { slice::from_raw_parts_mut(mat1.data, dim1[0]) };
let data_slice2 = unsafe { slice::from_raw_parts_mut(mat2.data, dim2[0]) };
let matrix1 = DMatrix::from_row_slice(dim1[0], 1, data_slice1);
let matrix2 = DMatrix::from_row_slice(dim2[0], 1, data_slice2);
matrix1.dot(&matrix2)
}
/// # Safety
///
/// `mat1` and `mat2` should point to a valid 2DArray of `f64` floats in row-major order
#[no_mangle]
pub unsafe extern "C" fn np_linalg_matmul(
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 && mat2.ndims == 2) {
let err_msg = format!(
"expected 2D Vector Input, but received {}D and {}D input",
mat1.ndims, mat2.ndims
);
raise_exn!("ValueError", "np_matmul", err_msg);
}
let dim1 = (*mat1).get_dims();
let dim2 = (*mat2).get_dims();
if dim1[1] != dim2[0] {
let err_msg = format!(
"shapes ({},{}) and ({},{}) not aligned: {} (dim 1) != {} (dim 0)",
dim1[0], dim1[1], dim2[0], dim2[1], dim1[1], dim2[0]
);
raise_exn!("ValueError", "np_matmul", 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 data_slice2 = unsafe { slice::from_raw_parts_mut(mat2.data, dim2[0] * dim2[1]) };
let matrix1 = DMatrix::from_row_slice(dim1[0], dim1[1], data_slice1);
let matrix2 = DMatrix::from_row_slice(dim2[0], dim2[1], data_slice2);
let mut result = DMatrix::<f64>::zeros(outdim[0], outdim[1]);
matrix1.mul_to(&matrix2, &mut result);
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_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);
raise_exn!("ValueError", "np_linalg_cholesky", 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]);
raise_exn!("LinAlgError", "np_linalg_cholesky", 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 => {
raise_exn!("LinAlgError", "np_linalg_cholesky", "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);
raise_exn!("ValueError", "np_linalg_cholesky", 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);
raise_exn!("ValueError", "np_linalg_svd", 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);
raise_exn!("ValueError", "np_linalg_inv", 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]);
raise_exn!("LinAlgError", "np_linalg_inv", 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() {
raise_exn!("LinAlgError", "np_linalg_inv", "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);
raise_exn!("ValueError", "np_linalg_pinv", 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(e) => {
raise_exn!("LinAlgError", "np_linalg_pinv", e);
}
}
}
/// # 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);
raise_exn!("ValueError", "sp_linalg_lu", 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);
raise_exn!("ValueError", "sp_linalg_schur", 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]);
raise_exn!("LinAlgError", "np_linalg_schur", 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);
raise_exn!("ValueError", "sp_linalg_hessenberg", 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]);
raise_exn!("LinAlgError", "sp_linalg_hessenberg", 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());
}

66
nac3standalone/linalg_externfns/src/runtime_exception.rs Normal file
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#![allow(non_camel_case_types)]
#![allow(unused)]
// ARTIQ Exception struct declaration
use cslice::CSlice;
// Note: CSlice within an exception may not be actual cslice, they may be strings that exist only
// in the host. If the length == usize:MAX, the pointer is actually a string key in the host.
#[repr(C)]
#[derive(Clone)]
pub struct Exception<'a> {
pub id: u32,
pub file: CSlice<'a, u8>,
pub line: u32,
pub column: u32,
pub function: CSlice<'a, u8>,
pub message: CSlice<'a, u8>,
pub param: [i64; 3],
}
fn str_err(_: core::str::Utf8Error) -> core::fmt::Error {
core::fmt::Error
}
fn exception_str<'a>(s: &'a CSlice<'a, u8>) -> Result<&'a str, core::str::Utf8Error> {
if s.len() == usize::MAX {
Ok("<host string>")
} else {
core::str::from_utf8(s.as_ref())
}
}
pub unsafe fn raise(exception: *const Exception) -> ! {
let e = &*exception;
let f1 = exception_str(&e.function).map_err(str_err).unwrap();
let f2 = exception_str(&e.file).map_err(str_err).unwrap();
let f3 = exception_str(&e.message).map_err(str_err).unwrap();
panic!("Exception {} from {} in {}:{}:{}, message: {}", e.id, f1, f2, e.line, e.column, f3);
}
static EXCEPTION_ID_LOOKUP: [(&str, u32); 14] = [
("RuntimeError", 0),
("RTIOUnderflow", 1),
("RTIOOverflow", 2),
("RTIODestinationUnreachable", 3),
("DMAError", 4),
("I2CError", 5),
("CacheError", 6),
("SPIError", 7),
("ZeroDivisionError", 8),
("IndexError", 9),
("UnwrapNoneError", 10),
("Value", 11),
("ValueError", 12),
("LinAlgError", 13),
];
pub fn get_exception_id(name: &str) -> u32 {
for (n, id) in EXCEPTION_ID_LOOKUP.iter() {
if *n == name {
return *id;
}
}
unimplemented!("unallocated internal exception id")
}