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4 changes: 2 additions & 2 deletions diskann-tools/src/bin/subsample_bin.rs
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ use rand_distr::{Distribution, StandardUniform};
use diskann::utils::VectorRepr;
use diskann_providers::storage::FileStorageProvider;
use diskann_providers::storage::StorageWriteProvider;
use diskann_providers::utils::{write_metadata, SampleVectorReader, SamplingDensity};
use diskann_providers::utils::{random, write_metadata, SampleVectorReader, SamplingDensity};
use diskann_tools::utils::DataType;

/// Subsamples vectors from a DiskANN style binary file.
Expand Down Expand Up @@ -43,7 +43,7 @@ fn create_rng(seed: Option<u64>) -> StdRng {
match seed {
Some(seed) => StdRng::seed_from_u64(seed),
None => {
let mut system_rng = rand::rng();
let mut system_rng = random::create_rnd();
StdRng::from_rng(&mut system_rng)
}
}
Expand Down
7 changes: 4 additions & 3 deletions diskann-tools/src/utils/relative_contrast.rs
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@

use diskann::{utils::VectorRepr, ANNError};
use diskann_providers::storage::StorageReadProvider;
use diskann_providers::utils::random;
use diskann_providers::{model::graph::traits::GraphDataType, utils::file_util::load_bin};
use rand::Rng;

Expand Down Expand Up @@ -33,7 +34,7 @@ fn average_squared_distance<Data: GraphDataType>(
base: &[Vec<Data::VectorDataType>],
num_random_samples: usize,
) -> CMDResult<f32> {
let mut rng = rand::rng();
let mut rng = random::create_rnd();
let n = base.len();
let mut sum_dist = 0.0;
for _ in 0..num_random_samples {
Expand Down Expand Up @@ -125,7 +126,7 @@ mod relative_contrast_tests {
// Generate 1000 random vectors of fp16 data type with 384 dimensions
let num_vectors = 1000;
let dim = 384;
let mut rng = rand::rng();
let mut rng = random::create_rnd_in_tests();
let base: Vec<f16> = (0..num_vectors * dim)
.map(|_| f16::from_f32(rng.random_range(0.0..1.0)))
.collect();
Expand Down Expand Up @@ -213,7 +214,7 @@ mod relative_contrast_tests {

let num_queries = 10;
let dim = 128;
let mut rng = rand::rng();
let mut rng = random::create_rnd_in_tests();
let query: Vec<f16> = (0..num_queries * dim)
.map(|_| f16::from_f32(rng.random_range(0.0..1.0)))
.collect();
Expand Down