uni-sparse-vector 2.5.0

Learned-sparse (SPLADE/BGE-M3) vector type, codec, and dot-product kernel for Uni graph database
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
name = "uni-sparse-vector"
version = "2.5.0"
authors = ["Dragonscale Industries Inc. <dev@dragonscale.ai>"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Learned-sparse (SPLADE/BGE-M3) vector type, codec, and dot-product kernel for Uni graph database"
readme = false
license = "Apache-2.0"
repository = "https://github.com/rustic-ai/uni-db"
resolver = "2"

[lib]
name = "uni_sparse_vector"
path = "src/lib.rs"

[[test]]
name = "proptest"
path = "tests/proptest.rs"

[dependencies.serde]
version = "1.0"
features = ["derive"]

[dependencies.thiserror]
version = "2"

[dev-dependencies.proptest]
version = "1.11"