chore: update dependencies

Author: jvdd

Cargo.toml

@@ -9,9 +9,9 @@ license = "MIT"
 
 [dependencies]
 downsample_rs = { path = "downsample_rs", features = ["half"]}
-pyo3 = { version = "0.20", features = ["extension-module"] }
-numpy = { version = "0.20", features = ["half"] }
-half = { version = "2.3.1", default-features = false }
+pyo3 = { version = "0.21", features = ["extension-module"] }
+numpy = { version = "0.21", features = ["half"] }
+half = { version = "2.4", default-features = false }
 paste = { version = "1.0.14", default-features = false }
 
 [lib]

downsample_rs/Cargo.toml

@@ -8,14 +8,14 @@ license = "MIT"
 
 [dependencies]
 # TODO: perhaps use polars?
-argminmax = { version = "0.6.1", features = ["half"] }
-half = { version = "2.3.1", default-features = false , features=["num-traits"], optional = true}
-num-traits = { version = "0.2.17", default-features = false }
+argminmax = { version = "0.6.2", features = ["half"] }
+half = { version = "2.4", default-features = false , features=["num-traits"], optional = true}
+num-traits = { version = "0.2", default-features = false }
 once_cell = "1"
-rayon = { version = "1.8.0", default-features = false }
+rayon = { version = "1.10", default-features = false }
 
 [dev-dependencies]
-rstest = { version = "0.18.2", default-features = false }
+rstest = { version = "0.19", default-features = false }
 rstest_reuse = { version = "0.6", default-features = false }
 criterion = "0.5.1"
 dev_utils = { path = "dev_utils" }

downsample_rs/dev_utils/Cargo.toml

@@ -6,5 +6,4 @@ edition = "2021"
 description = "Shared utilities for development (tests & benchmarks)"
 
 [dependencies]
-rand = { version = "0.7.2", default-features = false }
-rand_distr = { version = "0.2.2", default-features = false }
+rand = { version = "0.8.5" }

downsample_rs/dev_utils/src/utils.rs

@@ -1,7 +1,7 @@
 use std::ops::{Add, Sub};
 
+use rand::distributions::Uniform;
 use rand::{thread_rng, Rng};
-use rand_distr::Uniform;
 
 // random array that samples between min and max of T
 pub fn get_random_array<T>(n: usize, min_value: T, max_value: T) -> Vec<T>
@@ -10,8 +10,7 @@ where
 {
     let rng = thread_rng();
     let uni = Uniform::new_inclusive(min_value, max_value);
-    let arr: Vec<T> = rng.sample_iter(uni).take(n).collect();
-    arr
+    rng.sample_iter(uni).take(n).collect()
 }
 
 // worst case array that alternates between increasing max and decreasing min values

downsample_rs/src/m4.rs

@@ -1,6 +1,5 @@
 use argminmax::{ArgMinMax, NaNArgMinMax};
 use num_traits::{AsPrimitive, FromPrimitive};
-use rayon::iter::IndexedParallelIterator;
 use rayon::prelude::*;
 
 use super::searchsorted::{

downsample_rs/src/minmax.rs

@@ -1,4 +1,3 @@
-use rayon::iter::IndexedParallelIterator;
 use rayon::prelude::*;
 
 use argminmax::{ArgMinMax, NaNArgMinMax};

downsample_rs/src/searchsorted.rs

@@ -1,4 +1,3 @@
-use rayon::iter::IndexedParallelIterator;
 use rayon::prelude::*;
 
 use super::types::Num;