[[bench]]
harness = false
name = "l2"
[[bench]]
harness = false
name = "dot"
[[bench]]
harness = false
name = "argmin"
[[bench]]
harness = false
name = "cosine"
[[bench]]
harness = false
name = "norm_l2"
[[bench]]
harness = false
name = "kmeans"
[[bench]]
harness = false
name = "compute_partition"
[build-dependencies.cc]
version = "1.0.83"
[dependencies.arrow-array]
version = "47.0"
[dependencies.arrow-schema]
version = "47.0"
[dependencies.arrow-select]
version = "47.0"
[dependencies.futures]
version = "0.3"
[dependencies.half]
default-features = false
features = ["num-traits", "std"]
version = "=2.3.1"
[dependencies.lance-arrow]
version = "=0.8.21"
[dependencies.log]
version = "0.4"
[dependencies.num-traits]
version = "0.2"
[dependencies.num_cpus]
version = "1.0"
[dependencies.rand]
features = ["small_rng"]
version = "0.8.3"
[dependencies.tokio]
features = ["rt-multi-thread", "macros", "fs", "sync"]
version = "1.23"
[dependencies.tracing]
version = "0.1"
[dev-dependencies.approx]
version = "0.5.1"
[dev-dependencies.arrow-arith]
version = "47.0"
[dev-dependencies.criterion]
features = ["async", "async_tokio"]
version = "0.5"
[features]
avx512fp16 = []
[package]
categories = ["database-implementations", "data-structures", "development-tools", "science"]
description = "A columnar data format that is 100x faster than Parquet for random access."
edition = "2021"
keywords = ["data-format", "data-science", "machine-learning", "apache-arrow", "data-analytics"]
license = "Apache-2.0"
name = "lance-linalg"
readme = "README.md"
repository = "https://github.com/lancedb/lance"
version = "0.8.21"
[target."cfg(target_os = \"linux\")".dev-dependencies.pprof]
features = ["flamegraph", "criterion"]
version = "0.13"