Merge pull request #275 from ashvardanian/main-dev

Improved Packaging

Author: ashvardanian

README.md

@@ -674,21 +674,21 @@ Complex inner products are available for `f64`, `f32`, and `f16` types.
 ### Probability Distributions: Jensen-Shannon and Kullback-Leibler Divergences
 
 ```rust
-use simsimd::SpatialSimilarity;
+use simsimd::ProbabilitySimilarity;
 
 fn main() {
     let vector_a: Vec<f32> = vec![1.0, 2.0, 3.0];
     let vector_b: Vec<f32> = vec![4.0, 5.0, 6.0];
 
-    let cosine_similarity = f32::jensenshannon(&vector_a, &vector_b)
+    let jensen_shannon = f32::jensenshannon(&vector_a, &vector_b)
         .expect("Vectors must be of the same length");
 
-    println!("Cosine Similarity: {}", cosine_similarity);
+    println!("Jensen-Shannon Divergence: {}", jensen_shannon);
 
-    let sq_euclidean_distance = f32::kullbackleibler(&vector_a, &vector_b)
+    let kullback_leibler = f32::kullbackleibler(&vector_a, &vector_b)
         .expect("Vectors must be of the same length");
 
-    println!("Squared Euclidean Distance: {}", sq_euclidean_distance);
+    println!("Kullback-Leibler Divergence: {}", kullback_leibler);
 }
 ```
 

pyproject.toml

@@ -57,7 +57,7 @@ SIMSIMD_IN_QEMU = "1"
 
 [tool.cibuildwheel.linux]
 before-build = ["rm -rf {project}/build"]
-repair-wheel-command = "auditwheel repair --lib-sdir . -w {dest_dir} {wheel}"
+repair-wheel-command = "auditwheel repair -w {dest_dir} {wheel}"
 
 # Use more recent images for the most popular SIMD-capable CPU architectures, to have access to newer compilers.
 # Otherwise, prepare yourself to all kinds of AVX-512 issues and other SIMD-related pain.