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lib.rs
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#![allow(non_upper_case_globals)]
#![allow(non_camel_case_types)]
#![allow(non_snake_case)]
#[cfg(feature = "gpu")]
mod bindings_gpu;
#[cfg(feature = "gpu")]
pub use bindings_gpu::*;
#[cfg(not(feature = "gpu"))]
mod bindings;
#[cfg(not(feature = "gpu"))]
pub use bindings::*;
#[cfg(test)]
mod tests {
use super::*;
use std::ffi::CString;
use std::mem;
use std::os::raw::c_char;
use std::ptr;
#[test]
fn getting_last_error() {
unsafe {
let mut index_ptr: *mut FaissIndexFlatL2 = ptr::null_mut();
let desc = CString::new("noooo").unwrap();
let c = faiss_index_factory(&mut index_ptr, 4, desc.as_ptr(), 0);
assert_ne!(c, 0);
let last_error: *const c_char = faiss_get_last_error();
assert!(!last_error.is_null());
}
}
#[test]
fn flat_index_binary() {
const D: usize = 8;
unsafe {
let description = CString::new::<&str>("BFlat".as_ref()).unwrap();
let mut index_ptr = ::std::ptr::null_mut();
let code = faiss_index_binary_factory(
&mut index_ptr,
(D & 0x7FFF_FFFF) as i32,
description.as_ptr(),
);
assert_eq!(code, 0);
}
}
#[test]
fn flat_index() {
const D: usize = 8;
unsafe {
let mut index_ptr: *mut FaissIndexFlatL2 = ptr::null_mut();
let c = faiss_IndexFlatL2_new_with(&mut index_ptr as *mut _, D as idx_t);
assert_eq!(c, 0);
assert!(!index_ptr.is_null());
let some_data = [
7.5_f32, -7.5, 7.5, -7.5, 7.5, 7.5, 7.5, 7.5, -1., 1., 1., 1., 1., 1., 1., -1., 0.,
0., 0., 1., 1., 0., 0., -1., 100., 100., 100., 100., -100., 100., 100., 100., 200.,
100., 100., 500., -100., 100., 100., 500.,
];
let some_data_ptr = some_data.as_ptr();
assert_eq!(faiss_Index_is_trained(index_ptr) != 0, true);
let c = faiss_Index_add(index_ptr, (some_data.len() / D) as idx_t, some_data_ptr);
assert_eq!(c, 0);
assert_eq!(faiss_Index_ntotal(index_ptr), 5);
let some_query = [0.0_f32; D];
// output vectors (with canary values at the end)
let mut distances = [0_f32, 0., 0., 0., -1.];
let mut labels = [0 as idx_t, 0, 0, 0, -1];
// search for vectors closest to the origin
let c = faiss_Index_search(
index_ptr,
1,
some_query.as_ptr(),
4,
distances.as_mut_ptr(),
labels.as_mut_ptr(),
);
assert_eq!(c, 0);
assert_eq!(labels, [2, 1, 0, 3, -1]);
assert!(distances[0] > 0.);
assert!(distances[1] > 0.);
assert!(distances[2] > 0.);
assert!(distances[3] > 0.);
assert_eq!(distances[4], -1.);
faiss_Index_free(index_ptr);
}
}
#[test]
fn clustering() {
const D: usize = 8;
unsafe {
let mut params = mem::MaybeUninit::<FaissClusteringParameters>::uninit();
faiss_ClusteringParameters_init(params.as_mut_ptr());
let mut params = params.assume_init();
assert_eq!(params.verbose, 0);
assert_eq!(params.spherical, 0);
assert_eq!(params.frozen_centroids, 0);
assert_eq!(params.update_index, 0);
assert!(params.niter > 0);
params.niter = 5;
assert!(params.min_points_per_centroid > 0);
assert!(params.max_points_per_centroid > 0);
params.min_points_per_centroid = 1;
params.max_points_per_centroid = 10;
let some_data = [
7.5_f32, -7.5, 7.5, -7.5, 7.5, 7.5, 7.5, 7.5, -1., 1., 1., 1., 1., 1., 1., -1., 0.,
0., 0., 1., 1., 0., 0., -1., 100., 100., 100., 100., -100., 100., 100., 100., -7.,
1., 4., 1., 2., 1., 3., -1., 120., 100., 100., 120., -100., 100., 100., 120., 0.,
0., -12., 1., 1., 0., 6., -1., 0., 0., -0.25, 1., 16., 24., 0., -1., 100., 10.,
100., 100., 10., 100., 50., 10., 20., 22., 4.5, -2., -100., 0., 0., 100.,
];
let mut clustering_ptr: *mut FaissClustering = ptr::null_mut();
let c = faiss_Clustering_new_with_params(&mut clustering_ptr, D as i32, 2, ¶ms);
assert_eq!(c, 0);
assert_ne!(clustering_ptr, ptr::null_mut());
let mut index_ptr: *mut FaissIndexFlatL2 = ptr::null_mut();
let desc = CString::new("Flat").unwrap();
let c = faiss_index_factory(
&mut index_ptr,
D as i32,
desc.as_ptr(),
FaissMetricType_METRIC_L2,
);
assert_eq!(c, 0);
assert_ne!(index_ptr, ptr::null_mut());
let c = faiss_Clustering_train(clustering_ptr, 10, some_data.as_ptr(), index_ptr);
assert_eq!(c, 0);
faiss_Clustering_free(clustering_ptr);
}
}
}