cram-codec 0.1.0

Error-bounded scientific-data compression: bit-accounted quantized tensor train (QTT) codec
Documentation 
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[package]
name = "cram-codec"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
license.workspace = true
description = "Error-bounded scientific-data compression: bit-accounted quantized tensor train (QTT) codec"
repository.workspace = true
homepage = "https://cram.sh"
documentation = "https://docs.rs/cram-codec"
readme = "README.md"
keywords = ["compression", "tensor-train", "qtt", "scientific-data", "lossy"]
categories = ["compression", "science", "mathematics"]
include = ["src/**/*", "README.md", "LICENSE-MIT", "LICENSE-APACHE", "SHIPPED_DECODER.md", "examples/**/*"]

[dependencies]
tang-la = { workspace = true }
tang-optim = { workspace = true }
# integer dialect: the learned-MLP GPU kernel and its CPU reference
tang-expr = { workspace = true }
# Blocked symmetric eigensolver (tang-la already bridges faer 0.24 behind a
# feature). No rayon: the codec is single threaded by design.
faer = { version = "0.24", default-features = false, features = ["std"] }
# GPU decoder for the tc-gpu stream (hand-written WGSL kernels).
wgpu = { workspace = true, optional = true }
pollster = { workspace = true, optional = true }

[target.'cfg(target_arch = "wasm32")'.dependencies]
# std::time::Instant panics on wasm32-unknown-unknown
web-time = "1.1"

[features]
default = []
gpu = ["dep:wgpu", "dep:pollster"]

[dev-dependencies]