Files
poulpy/poulpy-core/Cargo.toml
Jean-Philippe Bossuat 4e90e08a71 Support for bivariate convolution & normalization with offset (#126)
* Add bivariate-convolution
* Add pair-wise convolution + tests + benches
* Add take_cnv_pvec_[left/right] to Scratch & updated CHANGELOG.md
* cross-base2k normalization with positive offset
* clippy & fix CI doctest avx compile error
* more streamlined bounds derivation for normalization
* Working cross-base2k normalization with pos/neg offset
* Update normalization API & tests
* Add glwe tensoring test
* Add relinearization + preliminary test
* Fix GGLWEToGGSW key infos
* Add (X,Y) convolution by const (1, Y) poly
* Faster normalization test + add bench for cnv_by_const
* Update changelog
2025-12-21 16:56:42 +01:00

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TOML

[package]
name = "poulpy-core"
version = "0.3.2"
edition = "2024"
license = "Apache-2.0"
description = "A backend agnostic crate implementing RLWE-based encryption & arithmetic."
repository = "https://github.com/phantomzone-org/poulpy"
homepage = "https://github.com/phantomzone-org/poulpy"
documentation = "https://docs.rs/poulpy"
[features]
enable-avx = ["dep:poulpy-cpu-avx"]
default = ["dep:poulpy-cpu-ref"]
[dependencies]
rug = {workspace = true}
criterion = {workspace = true}
poulpy-hal = {workspace = true}
poulpy-cpu-avx = {workspace = true, optional = true}
poulpy-cpu-ref = {workspace = true, optional = true}
itertools = {workspace = true}
byteorder = {workspace = true}
bytemuck = {workspace = true}
once_cell = {workspace = true}
paste = {workspace = true}
rand = {workspace = true}
[[bench]]
name = "external_product_glwe_fft64"
harness = false
[[bench]]
name = "keyswitch_glwe_fft64"
harness = false