numcodecs_zfp/lib.rs
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//! [![CI Status]][workflow] [![MSRV]][repo] [![Latest Version]][crates.io] [![Rust Doc Crate]][docs.rs] [![Rust Doc Main]][docs]
//!
//! [CI Status]: https://img.shields.io/github/actions/workflow/status/juntyr/numcodecs-rs/ci.yml?branch=main
//! [workflow]: https://github.com/juntyr/numcodecs-rs/actions/workflows/ci.yml?query=branch%3Amain
//!
//! [MSRV]: https://img.shields.io/badge/MSRV-1.76.0-blue
//! [repo]: https://github.com/juntyr/numcodecs-rs
//!
//! [Latest Version]: https://img.shields.io/crates/v/numcodecs-zfp
//! [crates.io]: https://crates.io/crates/numcodecs-zfp
//!
//! [Rust Doc Crate]: https://img.shields.io/docsrs/numcodecs-zfp
//! [docs.rs]: https://docs.rs/numcodecs-zfp/
//!
//! [Rust Doc Main]: https://img.shields.io/badge/docs-main-blue
//! [docs]: https://juntyr.github.io/numcodecs-rs/numcodecs_zfp
//!
//! ZFP codec implementation for the [`numcodecs`] API.
use ndarray::{Array1, ArrayView, Dimension};
use numcodecs::{
AnyArray, AnyArrayAssignError, AnyArrayDType, AnyArrayView, AnyArrayViewMut, AnyCowArray,
Codec, StaticCodec, StaticCodecConfig,
};
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use thiserror::Error;
mod ffi;
#[derive(Clone, Serialize, Deserialize, JsonSchema)]
#[serde(transparent)]
/// Codec providing compression using ZFP
pub struct ZfpCodec {
/// ZFP compression mode
pub mode: ZfpCompressionMode,
}
#[derive(Clone, Debug, Serialize, Deserialize, JsonSchema)]
#[serde(tag = "mode")]
#[serde(deny_unknown_fields)]
/// ZFP compression mode
pub enum ZfpCompressionMode {
#[serde(rename = "expert")]
/// The most general mode, which can describe all four other modes
Expert {
/// Minimum number of compressed bits used to represent a block
min_bits: u32,
/// Maximum number of bits used to represent a block
max_bits: u32,
/// Maximum number of bit planes encoded
max_prec: u32,
/// Smallest absolute bit plane number encoded.
///
/// This parameter applies to floating-point data only and is ignored
/// for integer data.
min_exp: i32,
},
/// In fixed-rate mode, each d-dimensional compressed block of 4^d values
/// is stored using a fixed number of bits. This number of compressed bits
/// per block is amortized over the 4^d values to give a rate of
/// `rate = max_bits / 4^d` in bits per value.
#[serde(rename = "fixed-rate")]
FixedRate {
/// Rate in bits per value
rate: f64,
},
/// In fixed-precision mode, the number of bits used to encode a block may
/// vary, but the number of bit planes (the precision) encoded for the
/// transform coefficients is fixed.
#[serde(rename = "fixed-precision")]
FixedPrecision {
/// Number of bit planes encoded
precision: u32,
},
/// In fixed-accuracy mode, all transform coefficient bit planes up to a
/// minimum bit plane number are encoded. The smallest absolute bit plane
/// number is chosen such that `minexp = floor(log2(tolerance))`.
#[serde(rename = "fixed-accuracy")]
FixedAccuracy {
/// Absolute error tolerance
tolerance: f64,
},
/// Lossless per-block compression that preserves integer and floating point
/// bit patterns.
#[serde(rename = "reversible")]
Reversible,
}
impl Codec for ZfpCodec {
type Error = ZfpCodecError;
fn encode(&self, data: AnyCowArray) -> Result<AnyArray, Self::Error> {
if matches!(data.dtype(), AnyArrayDType::I32 | AnyArrayDType::I64)
&& matches!(
self.mode,
ZfpCompressionMode::FixedAccuracy { tolerance: _ }
)
{
return Err(ZfpCodecError::FixedAccuracyModeIntegerData);
}
match data {
AnyCowArray::I32(data) => Ok(AnyArray::U8(
Array1::from(compress(data.view(), &self.mode)?).into_dyn(),
)),
AnyCowArray::I64(data) => Ok(AnyArray::U8(
Array1::from(compress(data.view(), &self.mode)?).into_dyn(),
)),
AnyCowArray::F32(data) => Ok(AnyArray::U8(
Array1::from(compress(data.view(), &self.mode)?).into_dyn(),
)),
AnyCowArray::F64(data) => Ok(AnyArray::U8(
Array1::from(compress(data.view(), &self.mode)?).into_dyn(),
)),
encoded => Err(ZfpCodecError::UnsupportedDtype(encoded.dtype())),
}
}
fn decode(&self, encoded: AnyCowArray) -> Result<AnyArray, Self::Error> {
let AnyCowArray::U8(encoded) = encoded else {
return Err(ZfpCodecError::EncodedDataNotBytes {
dtype: encoded.dtype(),
});
};
if !matches!(encoded.shape(), [_]) {
return Err(ZfpCodecError::EncodedDataNotOneDimensional {
shape: encoded.shape().to_vec(),
});
}
decompress(&AnyCowArray::U8(encoded).as_bytes())
}
fn decode_into(
&self,
encoded: AnyArrayView,
decoded: AnyArrayViewMut,
) -> Result<(), Self::Error> {
let AnyArrayView::U8(encoded) = encoded else {
return Err(ZfpCodecError::EncodedDataNotBytes {
dtype: encoded.dtype(),
});
};
if !matches!(encoded.shape(), [_]) {
return Err(ZfpCodecError::EncodedDataNotOneDimensional {
shape: encoded.shape().to_vec(),
});
}
decompress_into(&AnyArrayView::U8(encoded).as_bytes(), decoded)
}
}
impl StaticCodec for ZfpCodec {
const CODEC_ID: &'static str = "zfp";
type Config<'de> = Self;
fn from_config(config: Self::Config<'_>) -> Self {
config
}
fn get_config(&self) -> StaticCodecConfig<Self> {
StaticCodecConfig::from(self)
}
}
#[derive(Debug, Error)]
/// Errors that may occur when applying the [`ZfpCodec`].
pub enum ZfpCodecError {
/// [`ZfpCodec`] does not support the dtype
#[error("Zfp does not support the dtype {0}")]
UnsupportedDtype(AnyArrayDType),
/// [`ZfpCodec`] does not support the fixed accuracy mode for integer data
#[error("Zfp does not support the fixed accuracy mode for integer data")]
FixedAccuracyModeIntegerData,
/// [`ZfpCodec`] only supports 1-4 dimensional data
#[error("Zfp only supports 1-4 dimensional data but found shape {shape:?}")]
ExcessiveDimensionality {
/// The unexpected shape of the data
shape: Vec<usize>,
},
/// [`ZfpCodec`] was configured with an invalid expert `mode`
#[error("Zfp was configured with an invalid expert mode {mode:?}")]
InvalidExpertMode {
/// The unexpected compression mode
mode: ZfpCompressionMode,
},
/// [`ZfpCodec`] failed to encode the header
#[error("Zfp failed to encode the header")]
HeaderEncodeFailed,
/// [`ZfpCodec`] failed to encode the data
#[error("Zfp failed to encode the data")]
ZfpEncodeFailed,
/// [`ZfpCodec`] can only decode one-dimensional byte arrays but received
/// an array of a different dtype
#[error(
"Zfp can only decode one-dimensional byte arrays but received an array of dtype {dtype}"
)]
EncodedDataNotBytes {
/// The unexpected dtype of the encoded array
dtype: AnyArrayDType,
},
/// [`ZfpCodec`] can only decode one-dimensional byte arrays but received
/// an array of a different shape
#[error("Zfp can only decode one-dimensional byte arrays but received a byte array of shape {shape:?}")]
EncodedDataNotOneDimensional {
/// The unexpected shape of the encoded array
shape: Vec<usize>,
},
/// [`ZfpCodec`] failed to decode the header
#[error("Zfp failed to decode the header")]
HeaderDecodeFailed,
/// [`ZfpCodec`] cannot decode into the provided array
#[error("ZfpCodec cannot decode into the provided array")]
MismatchedDecodeIntoArray {
/// The source of the error
#[from]
source: AnyArrayAssignError,
},
/// [`ZfpCodec`] failed to decode the data with the unknown dtype
#[error("Zfp failed to decode the data with an unknown dtype #{0}")]
DecodeUnknownDtype(u32),
/// [`ZfpCodec`] failed to decode the data
#[error("Zfp failed to decode the data")]
ZfpDecodeFailed,
}
/// Compress the `data` array using ZFP with the provided `mode`.
///
/// # Errors
///
/// Errors with
/// - [`ZfpCodecError::ExcessiveDimensionality`] if data is more than
/// 4-dimensional
/// - [`ZfpCodecError::InvalidExpertMode`] if the `mode` has invalid expert mode
/// parameters
/// - [`ZfpCodecError::HeaderEncodeFailed`] if encoding the ZFP header failed
/// - [`ZfpCodecError::ZfpEncodeFailed`] if an opaque encoding error occurred
pub fn compress<T: ffi::ZfpCompressible, D: Dimension>(
data: ArrayView<T, D>,
mode: &ZfpCompressionMode,
) -> Result<Vec<u8>, ZfpCodecError> {
// Setup zfp structs to begin compression
let field = ffi::ZfpField::new(data)?;
let stream = ffi::ZfpCompressionStream::new(&field, mode)?;
// Allocate space based on the maximum size potentially required by zfp to
// store the compressed array
let stream = stream.with_bitstream(field);
// Write the full header so we can reconstruct the array on decompression
let stream = stream.write_full_header()?;
// Compress the field into the allocated output array
stream.compress()
}
/// Decompress the `encoded` data into an array using ZFP.
///
/// # Errors
///
/// Errors with
/// - [`ZfpCodecError::HeaderDecodeFailed`] if decoding the header failed
/// - [`ZfpCodecError::DecodeUnknownDtype`] if the encoded data uses an unknown
/// dtype
/// - [`ZfpCodecError::ZfpDecodeFailed`] if an opaque decoding error occurred
pub fn decompress(encoded: &[u8]) -> Result<AnyArray, ZfpCodecError> {
// Setup zfp structs to begin decompression
let stream = ffi::ZfpDecompressionStream::new(encoded);
// Read the full header to verify the decompression dtype
let stream = stream.read_full_header()?;
// Decompress the field into a newly allocated output array
stream.decompress()
}
/// Decompress the `encoded` data into a `decoded` array using ZFP.
///
/// # Errors
///
/// Errors with
/// - [`ZfpCodecError::HeaderDecodeFailed`] if decoding the header failed
/// - [`ZfpCodecError::DecodeUnknownDtype`] if the encoded data uses an unknown
/// dtype
/// - [`ZfpCodecError::MismatchedDecodeIntoArray`] if the `decoded` array is of
/// the wrong dtype or shape
/// - [`ZfpCodecError::ZfpDecodeFailed`] if an opaque decoding error occurred
pub fn decompress_into(encoded: &[u8], decoded: AnyArrayViewMut) -> Result<(), ZfpCodecError> {
// Setup zfp structs to begin decompression
let stream = ffi::ZfpDecompressionStream::new(encoded);
// Read the full header to verify the decompression dtype
let stream = stream.read_full_header()?;
stream.decompress_into(decoded)
}