/rust/registry/src/index.crates.io-1949cf8c6b5b557f/moxcms-0.8.0/src/conversions/lut4.rs

Source
/*
 * // Copyright (c) Radzivon Bartoshyk 3/2025. All rights reserved.
 * //
 * // Redistribution and use in source and binary forms, with or without modification,
 * // are permitted provided that the following conditions are met:
 * //
 * // 1.  Redistributions of source code must retain the above copyright notice, this
 * // list of conditions and the following disclaimer.
 * //
 * // 2.  Redistributions in binary form must reproduce the above copyright notice,
 * // this list of conditions and the following disclaimer in the documentation
 * // and/or other materials provided with the distribution.
 * //
 * // 3.  Neither the name of the copyright holder nor the names of its
 * // contributors may be used to endorse or promote products derived from
 * // this software without specific prior written permission.
 * //
 * // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
 * // FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * // DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
 * // SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 * // CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * // OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
#![cfg(feature = "lut")]
#[cfg(feature = "any_to_any")]
use crate::conversions::katana::KatanaInitialStage;
use crate::err::try_vec;
use crate::profile::LutDataType;
use crate::safe_math::{SafeMul, SafePowi};
use crate::trc::lut_interp_linear_float;
use crate::{
    CmsError, DataColorSpace, Hypercube, InterpolationMethod, MalformedSize,
    PointeeSizeExpressible, Stage, TransformOptions, Vector3f,
};
use num_traits::AsPrimitive;
use std::marker::PhantomData;

#[allow(unused)]
#[derive(Default)]
struct Lut4x3 {
    linearization: [Vec<f32>; 4],
    clut: Vec<f32>,
    grid_size: u8,
    output: [Vec<f32>; 3],
    interpolation_method: InterpolationMethod,
    pcs: DataColorSpace,
}

#[allow(unused)]
#[derive(Default)]
struct KatanaLut4x3<T: Copy + PointeeSizeExpressible + AsPrimitive<f32>> {
    linearization: [Vec<f32>; 4],
    clut: Vec<f32>,
    grid_size: u8,
    output: [Vec<f32>; 3],
    interpolation_method: InterpolationMethod,
    pcs: DataColorSpace,
    _phantom: PhantomData<T>,
    bit_depth: usize,
}

#[allow(unused)]
impl Lut4x3 {
    fn transform_impl<Fetch: Fn(f32, f32, f32, f32) -> Vector3f>(
        &self,
        src: &[f32],
        dst: &mut [f32],
        fetch: Fetch,
    ) -> Result<(), CmsError> {
        let linearization_0 = &self.linearization[0];
        let linearization_1 = &self.linearization[1];
        let linearization_2 = &self.linearization[2];
        let linearization_3 = &self.linearization[3];
        for (dest, src) in dst.chunks_exact_mut(3).zip(src.chunks_exact(4)) {
            debug_assert!(self.grid_size as i32 >= 1);
            let linear_x = lut_interp_linear_float(src[0], linearization_0);
            let linear_y = lut_interp_linear_float(src[1], linearization_1);
            let linear_z = lut_interp_linear_float(src[2], linearization_2);
            let linear_w = lut_interp_linear_float(src[3], linearization_3);

            let clut = fetch(linear_x, linear_y, linear_z, linear_w);

            let pcs_x = lut_interp_linear_float(clut.v[0], &self.output[0]);
            let pcs_y = lut_interp_linear_float(clut.v[1], &self.output[1]);
            let pcs_z = lut_interp_linear_float(clut.v[2], &self.output[2]);
            dest[0] = pcs_x;
            dest[1] = pcs_y;
            dest[2] = pcs_z;
        }
        Ok(())
    }
}

macro_rules! define_lut4_dispatch {
    ($dispatcher: ident) => {
        impl Stage for $dispatcher {
            fn transform(&self, src: &[f32], dst: &mut [f32]) -> Result<(), CmsError> {
                let l_tbl = Hypercube::new(&self.clut, self.grid_size as usize, 3)?;

                // If Source PCS is LAB trilinear should be used
                if self.pcs == DataColorSpace::Lab || self.pcs == DataColorSpace::Xyz {
                    return self
                        .transform_impl(src, dst, |x, y, z, w| l_tbl.quadlinear_vec3(x, y, z, w));
                }

                match self.interpolation_method {
                    #[cfg(feature = "options")]
                    InterpolationMethod::Tetrahedral => {
                        self.transform_impl(src, dst, |x, y, z, w| l_tbl.tetra_vec3(x, y, z, w))?;
                    }
                    #[cfg(feature = "options")]
                    InterpolationMethod::Pyramid => {
                        self.transform_impl(src, dst, |x, y, z, w| l_tbl.pyramid_vec3(x, y, z, w))?;
                    }
                    #[cfg(feature = "options")]
                    InterpolationMethod::Prism => {
                        self.transform_impl(src, dst, |x, y, z, w| l_tbl.prism_vec3(x, y, z, w))?
                    }
                    InterpolationMethod::Linear => {
                        self.transform_impl(src, dst, |x, y, z, w| {
                            l_tbl.quadlinear_vec3(x, y, z, w)
                        })?
                    }
                }
                Ok(())
            }
        }
    };
}

#[cfg(feature = "any_to_any")]
impl<T: Copy + PointeeSizeExpressible + AsPrimitive<f32>> KatanaLut4x3<T> {
    fn to_pcs_impl<Fetch: Fn(f32, f32, f32, f32) -> Vector3f>(
        &self,
        input: &[T],
        fetch: Fetch,
    ) -> Result<Vec<f32>, CmsError> {
        if input.len() % 4 != 0 {
            return Err(CmsError::LaneMultipleOfChannels);
        }
        let norm_value = if T::FINITE {
            1.0 / ((1u32 << self.bit_depth) - 1) as f32
        } else {
            1.0
        };
        let mut dst = try_vec![0.; (input.len() / 4) * 3];
        let linearization_0 = &self.linearization[0];
        let linearization_1 = &self.linearization[1];
        let linearization_2 = &self.linearization[2];
        let linearization_3 = &self.linearization[3];
        for (dest, src) in dst.chunks_exact_mut(3).zip(input.chunks_exact(4)) {
            let linear_x = lut_interp_linear_float(src[0].as_() * norm_value, linearization_0);
            let linear_y = lut_interp_linear_float(src[1].as_() * norm_value, linearization_1);
            let linear_z = lut_interp_linear_float(src[2].as_() * norm_value, linearization_2);
            let linear_w = lut_interp_linear_float(src[3].as_() * norm_value, linearization_3);

            let clut = fetch(linear_x, linear_y, linear_z, linear_w);

            let pcs_x = lut_interp_linear_float(clut.v[0], &self.output[0]);
            let pcs_y = lut_interp_linear_float(clut.v[1], &self.output[1]);
            let pcs_z = lut_interp_linear_float(clut.v[2], &self.output[2]);
            dest[0] = pcs_x;
            dest[1] = pcs_y;
            dest[2] = pcs_z;
        }
        Ok(dst)
    }
}

#[cfg(feature = "any_to_any")]
impl<T: Copy + PointeeSizeExpressible + AsPrimitive<f32>> KatanaInitialStage<f32, T>
    for KatanaLut4x3<T>
{
    fn to_pcs(&self, input: &[T]) -> Result<Vec<f32>, CmsError> {
        if input.len() % 4 != 0 {
            return Err(CmsError::LaneMultipleOfChannels);
        }
        let l_tbl = Hypercube::new(&self.clut, self.grid_size as usize, 3)?;

        // If Source PCS is LAB trilinear should be used
        if self.pcs == DataColorSpace::Lab || self.pcs == DataColorSpace::Xyz {
            return self.to_pcs_impl(input, |x, y, z, w| l_tbl.quadlinear_vec3(x, y, z, w));
        }

        match self.interpolation_method {
            #[cfg(feature = "options")]
            InterpolationMethod::Tetrahedral => {
                self.to_pcs_impl(input, |x, y, z, w| l_tbl.tetra_vec3(x, y, z, w))
            }
            #[cfg(feature = "options")]
            InterpolationMethod::Pyramid => {
                self.to_pcs_impl(input, |x, y, z, w| l_tbl.pyramid_vec3(x, y, z, w))
            }
            #[cfg(feature = "options")]
            InterpolationMethod::Prism => {
                self.to_pcs_impl(input, |x, y, z, w| l_tbl.prism_vec3(x, y, z, w))
            }
            InterpolationMethod::Linear => {
                self.to_pcs_impl(input, |x, y, z, w| l_tbl.quadlinear_vec3(x, y, z, w))
            }
        }
    }
}

define_lut4_dispatch!(Lut4x3);

fn make_lut_4x3(
    lut: &LutDataType,
    options: TransformOptions,
    pcs: DataColorSpace,
) -> Result<Lut4x3, CmsError> {
    // There is 4 possible cases:
    // - All curves are non-linear
    // - Linearization curves are non-linear, but gamma is linear
    // - Gamma curves are non-linear, but linearization is linear
    // - All curves linear
    let clut_length: usize = (lut.num_clut_grid_points as usize)
        .safe_powi(lut.num_input_channels as u32)?
        .safe_mul(lut.num_output_channels as usize)?;

    let clut_table = lut.clut_table.to_clut_f32();
    if clut_table.len() != clut_length {
        return Err(CmsError::MalformedClut(MalformedSize {
            size: clut_table.len(),
            expected: clut_length,
        }));
    }

    let linearization_table = lut.input_table.to_clut_f32();

    if linearization_table.len() < lut.num_input_table_entries as usize * 4 {
        return Err(CmsError::MalformedCurveLutTable(MalformedSize {
            size: linearization_table.len(),
            expected: lut.num_input_table_entries as usize * 4,
        }));
    }

    let lin_curve0 = linearization_table[0..lut.num_input_table_entries as usize].to_vec();
    let lin_curve1 = linearization_table
        [lut.num_input_table_entries as usize..lut.num_input_table_entries as usize * 2]
        .to_vec();
    let lin_curve2 = linearization_table
        [lut.num_input_table_entries as usize * 2..lut.num_input_table_entries as usize * 3]
        .to_vec();
    let lin_curve3 = linearization_table
        [lut.num_input_table_entries as usize * 3..lut.num_input_table_entries as usize * 4]
        .to_vec();

    let gamma_table = lut.output_table.to_clut_f32();

    if gamma_table.len() < lut.num_output_table_entries as usize * 3 {
        return Err(CmsError::MalformedCurveLutTable(MalformedSize {
            size: gamma_table.len(),
            expected: lut.num_output_table_entries as usize * 3,
        }));
    }

    let gamma_curve0 = gamma_table[..lut.num_output_table_entries as usize].to_vec();
    let gamma_curve1 = gamma_table
        [lut.num_output_table_entries as usize..lut.num_output_table_entries as usize * 2]
        .to_vec();
    let gamma_curve2 = gamma_table
        [lut.num_output_table_entries as usize * 2..lut.num_output_table_entries as usize * 3]
        .to_vec();

    let transform = Lut4x3 {
        linearization: [lin_curve0, lin_curve1, lin_curve2, lin_curve3],
        interpolation_method: options.interpolation_method,
        pcs,
        clut: clut_table,
        grid_size: lut.num_clut_grid_points,
        output: [gamma_curve0, gamma_curve1, gamma_curve2],
    };
    Ok(transform)
}

fn stage_lut_4x3(
    lut: &LutDataType,
    options: TransformOptions,
    pcs: DataColorSpace,
) -> Result<Box<dyn Stage>, CmsError> {
    let lut = make_lut_4x3(lut, options, pcs)?;
    let transform = Lut4x3 {
        linearization: lut.linearization,
        interpolation_method: lut.interpolation_method,
        pcs: lut.pcs,
        clut: lut.clut,
        grid_size: lut.grid_size,
        output: lut.output,
    };
    Ok(Box::new(transform))
}

#[cfg(feature = "any_to_any")]
pub(crate) fn katana_input_stage_lut_4x3<
    T: Copy + PointeeSizeExpressible + AsPrimitive<f32> + Send + Sync,
>(
    lut: &LutDataType,
    options: TransformOptions,
    pcs: DataColorSpace,
    bit_depth: usize,
) -> Result<Box<dyn KatanaInitialStage<f32, T> + Send + Sync>, CmsError> {
    // There is 4 possible cases:
    // - All curves are non-linear
    // - Linearization curves are non-linear, but gamma is linear
    // - Gamma curves are non-linear, but linearization is linear
    // - All curves linear
    let lut = make_lut_4x3(lut, options, pcs)?;

    let transform = KatanaLut4x3::<T> {
        linearization: lut.linearization,
        interpolation_method: lut.interpolation_method,
        pcs: lut.pcs,
        clut: lut.clut,
        grid_size: lut.grid_size,
        output: lut.output,
        _phantom: PhantomData,
        bit_depth,
    };
    Ok(Box::new(transform))
}

pub(crate) fn create_lut4_norm_samples<const SAMPLES: usize>() -> Vec<f32> {
    let lut_size: u32 = (4 * SAMPLES * SAMPLES * SAMPLES * SAMPLES) as u32;

    let mut src = Vec::with_capacity(lut_size as usize);

    let recpeq = 1f32 / (SAMPLES - 1) as f32;
    for k in 0..SAMPLES {
        for c in 0..SAMPLES {
            for m in 0..SAMPLES {
                for y in 0..SAMPLES {
                    src.push(c as f32 * recpeq);
                    src.push(m as f32 * recpeq);
                    src.push(y as f32 * recpeq);
                    src.push(k as f32 * recpeq);
                }
            }
        }
    }
    src
}

pub(crate) fn create_lut4<const SAMPLES: usize>(
    lut: &LutDataType,
    options: TransformOptions,
    pcs: DataColorSpace,
) -> Result<Vec<f32>, CmsError> {
    if lut.num_input_channels != 4 {
        return Err(CmsError::UnsupportedProfileConnection);
    }
    let lut_size: u32 = (4 * SAMPLES * SAMPLES * SAMPLES * SAMPLES) as u32;

    let src = create_lut4_norm_samples::<SAMPLES>();
    let mut dest = try_vec![0.; (lut_size as usize) / 4 * 3];

    let lut_stage = stage_lut_4x3(lut, options, pcs)?;
    lut_stage.transform(&src, &mut dest)?;
    Ok(dest)
}

Coverage Report

Created: 2026-03-07 07:19

Line	Count	Source
1		/*
2		* // Copyright (c) Radzivon Bartoshyk 3/2025. All rights reserved.
3		* //
4		* // Redistribution and use in source and binary forms, with or without modification,
5		* // are permitted provided that the following conditions are met:
6		* //
7		* // 1. Redistributions of source code must retain the above copyright notice, this
8		* // list of conditions and the following disclaimer.
9		* //
10		* // 2. Redistributions in binary form must reproduce the above copyright notice,
11		* // this list of conditions and the following disclaimer in the documentation
12		* // and/or other materials provided with the distribution.
13		* //
14		* // 3. Neither the name of the copyright holder nor the names of its
15		* // contributors may be used to endorse or promote products derived from
16		* // this software without specific prior written permission.
17		* //
18		* // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19		* // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20		* // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21		* // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22		* // FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23		* // DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
24		* // SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
25		* // CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
26		* // OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
27		* // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
28		*/
29		#![cfg(feature = "lut")]
30		#[cfg(feature = "any_to_any")]
31		use crate::conversions::katana::KatanaInitialStage;
32		use crate::err::try_vec;
33		use crate::profile::LutDataType;
34		use crate::safe_math::{SafeMul, SafePowi};
35		use crate::trc::lut_interp_linear_float;
36		use crate::{
37		CmsError, DataColorSpace, Hypercube, InterpolationMethod, MalformedSize,
38		PointeeSizeExpressible, Stage, TransformOptions, Vector3f,
39		};
40		use num_traits::AsPrimitive;
41		use std::marker::PhantomData;
42
43		#[allow(unused)]
44		#[derive(Default)]
45		struct Lut4x3 {
46		linearization: [Vec<f32>; 4],
47		clut: Vec<f32>,
48		grid_size: u8,
49		output: [Vec<f32>; 3],
50		interpolation_method: InterpolationMethod,
51		pcs: DataColorSpace,
52		}
53
54		#[allow(unused)]
55		#[derive(Default)]
56		struct KatanaLut4x3<T: Copy + PointeeSizeExpressible + AsPrimitive<f32>> {
57		linearization: [Vec<f32>; 4],
58		clut: Vec<f32>,
59		grid_size: u8,
60		output: [Vec<f32>; 3],
61		interpolation_method: InterpolationMethod,
62		pcs: DataColorSpace,
63		_phantom: PhantomData<T>,
64		bit_depth: usize,
65		}
66
67		#[allow(unused)]
68		impl Lut4x3 {
69	0	fn transform_impl<Fetch: Fn(f32, f32, f32, f32) -> Vector3f>(
70	0	&self,
71	0	src: &[f32],
72	0	dst: &mut [f32],
73	0	fetch: Fetch,
74	0	) -> Result<(), CmsError> {
75	0	let linearization_0 = &self.linearization[0];
76	0	let linearization_1 = &self.linearization[1];
77	0	let linearization_2 = &self.linearization[2];
78	0	let linearization_3 = &self.linearization[3];
79	0	for (dest, src) in dst.chunks_exact_mut(3).zip(src.chunks_exact(4)) {
80	0	debug_assert!(self.grid_size as i32 >= 1);
81	0	let linear_x = lut_interp_linear_float(src[0], linearization_0);
82	0	let linear_y = lut_interp_linear_float(src[1], linearization_1);
83	0	let linear_z = lut_interp_linear_float(src[2], linearization_2);
84	0	let linear_w = lut_interp_linear_float(src[3], linearization_3);
85
86	0	let clut = fetch(linear_x, linear_y, linear_z, linear_w);
87
88	0	let pcs_x = lut_interp_linear_float(clut.v[0], &self.output[0]);
89	0	let pcs_y = lut_interp_linear_float(clut.v[1], &self.output[1]);
90	0	let pcs_z = lut_interp_linear_float(clut.v[2], &self.output[2]);
91	0	dest[0] = pcs_x;
92	0	dest[1] = pcs_y;
93	0	dest[2] = pcs_z;
94		}
95	0	Ok(())
96	0	} Unexecuted instantiation: <moxcms::conversions::lut4::Lut4x3>::transform_impl::<<moxcms::conversions::lut4::Lut4x3 as moxcms::transform::Stage>::transform::{closure#0}> Unexecuted instantiation: <moxcms::conversions::lut4::Lut4x3>::transform_impl::<<moxcms::conversions::lut4::Lut4x3 as moxcms::transform::Stage>::transform::{closure#1}>
97		}
98
99		macro_rules! define_lut4_dispatch {
100		($dispatcher: ident) => {
101		impl Stage for $dispatcher {
102	0	fn transform(&self, src: &[f32], dst: &mut [f32]) -> Result<(), CmsError> {
103	0	let l_tbl = Hypercube::new(&self.clut, self.grid_size as usize, 3)?;
104
105		// If Source PCS is LAB trilinear should be used
106	0	if self.pcs == DataColorSpace::Lab \|\| self.pcs == DataColorSpace::Xyz {
107	0	return self
108	0	.transform_impl(src, dst, \|x, y, z, w\| l_tbl.quadlinear_vec3(x, y, z, w));
109	0	}
110
111	0	match self.interpolation_method {
112		#[cfg(feature = "options")]
113		InterpolationMethod::Tetrahedral => {
114		self.transform_impl(src, dst, \|x, y, z, w\| l_tbl.tetra_vec3(x, y, z, w))?;
115		}
116		#[cfg(feature = "options")]
117		InterpolationMethod::Pyramid => {
118		self.transform_impl(src, dst, \|x, y, z, w\| l_tbl.pyramid_vec3(x, y, z, w))?;
119		}
120		#[cfg(feature = "options")]
121		InterpolationMethod::Prism => {
122		self.transform_impl(src, dst, \|x, y, z, w\| l_tbl.prism_vec3(x, y, z, w))?
123		}
124		InterpolationMethod::Linear => {
125	0	self.transform_impl(src, dst, \|x, y, z, w\| {
126	0	l_tbl.quadlinear_vec3(x, y, z, w)
127	0	})?
128		}
129		}
130	0	Ok(())
131	0	}
132		}
133		};
134		}
135
136		#[cfg(feature = "any_to_any")]
137		impl<T: Copy + PointeeSizeExpressible + AsPrimitive<f32>> KatanaLut4x3<T> {
138		fn to_pcs_impl<Fetch: Fn(f32, f32, f32, f32) -> Vector3f>(
139		&self,
140		input: &[T],
141		fetch: Fetch,
142		) -> Result<Vec<f32>, CmsError> {
143		if input.len() % 4 != 0 {
144		return Err(CmsError::LaneMultipleOfChannels);
145		}
146		let norm_value = if T::FINITE {
147		1.0 / ((1u32 << self.bit_depth) - 1) as f32
148		} else {
149		1.0
150		};
151		let mut dst = try_vec![0.; (input.len() / 4) * 3];
152		let linearization_0 = &self.linearization[0];
153		let linearization_1 = &self.linearization[1];
154		let linearization_2 = &self.linearization[2];
155		let linearization_3 = &self.linearization[3];
156		for (dest, src) in dst.chunks_exact_mut(3).zip(input.chunks_exact(4)) {
157		let linear_x = lut_interp_linear_float(src[0].as_() * norm_value, linearization_0);
158		let linear_y = lut_interp_linear_float(src[1].as_() * norm_value, linearization_1);
159		let linear_z = lut_interp_linear_float(src[2].as_() * norm_value, linearization_2);
160		let linear_w = lut_interp_linear_float(src[3].as_() * norm_value, linearization_3);
161
162		let clut = fetch(linear_x, linear_y, linear_z, linear_w);
163
164		let pcs_x = lut_interp_linear_float(clut.v[0], &self.output[0]);
165		let pcs_y = lut_interp_linear_float(clut.v[1], &self.output[1]);
166		let pcs_z = lut_interp_linear_float(clut.v[2], &self.output[2]);
167		dest[0] = pcs_x;
168		dest[1] = pcs_y;
169		dest[2] = pcs_z;
170		}
171		Ok(dst)
172		}
173		}
174
175		#[cfg(feature = "any_to_any")]
176		impl<T: Copy + PointeeSizeExpressible + AsPrimitive<f32>> KatanaInitialStage<f32, T>
177		for KatanaLut4x3<T>
178		{
179		fn to_pcs(&self, input: &[T]) -> Result<Vec<f32>, CmsError> {
180		if input.len() % 4 != 0 {
181		return Err(CmsError::LaneMultipleOfChannels);
182		}
183		let l_tbl = Hypercube::new(&self.clut, self.grid_size as usize, 3)?;
184
185		// If Source PCS is LAB trilinear should be used
186		if self.pcs == DataColorSpace::Lab \|\| self.pcs == DataColorSpace::Xyz {
187		return self.to_pcs_impl(input, \|x, y, z, w\| l_tbl.quadlinear_vec3(x, y, z, w));
188		}
189
190		match self.interpolation_method {
191		#[cfg(feature = "options")]
192		InterpolationMethod::Tetrahedral => {
193		self.to_pcs_impl(input, \|x, y, z, w\| l_tbl.tetra_vec3(x, y, z, w))
194		}
195		#[cfg(feature = "options")]
196		InterpolationMethod::Pyramid => {
197		self.to_pcs_impl(input, \|x, y, z, w\| l_tbl.pyramid_vec3(x, y, z, w))
198		}
199		#[cfg(feature = "options")]
200		InterpolationMethod::Prism => {
201		self.to_pcs_impl(input, \|x, y, z, w\| l_tbl.prism_vec3(x, y, z, w))
202		}
203		InterpolationMethod::Linear => {
204		self.to_pcs_impl(input, \|x, y, z, w\| l_tbl.quadlinear_vec3(x, y, z, w))
205		}
206		}
207		}
208		}
209
210		define_lut4_dispatch!(Lut4x3);
211
212	0	fn make_lut_4x3(
213	0	lut: &LutDataType,
214	0	options: TransformOptions,
215	0	pcs: DataColorSpace,
216	0	) -> Result<Lut4x3, CmsError> {
217		// There is 4 possible cases:
218		// - All curves are non-linear
219		// - Linearization curves are non-linear, but gamma is linear
220		// - Gamma curves are non-linear, but linearization is linear
221		// - All curves linear
222	0	let clut_length: usize = (lut.num_clut_grid_points as usize)
223	0	.safe_powi(lut.num_input_channels as u32)?
224	0	.safe_mul(lut.num_output_channels as usize)?;
225
226	0	let clut_table = lut.clut_table.to_clut_f32();
227	0	if clut_table.len() != clut_length {
228	0	return Err(CmsError::MalformedClut(MalformedSize {
229	0	size: clut_table.len(),
230	0	expected: clut_length,
231	0	}));
232	0	}
233
234	0	let linearization_table = lut.input_table.to_clut_f32();
235
236	0	if linearization_table.len() < lut.num_input_table_entries as usize * 4 {
237	0	return Err(CmsError::MalformedCurveLutTable(MalformedSize {
238	0	size: linearization_table.len(),
239	0	expected: lut.num_input_table_entries as usize * 4,
240	0	}));
241	0	}
242
243	0	let lin_curve0 = linearization_table[0..lut.num_input_table_entries as usize].to_vec();
244	0	let lin_curve1 = linearization_table
245	0	[lut.num_input_table_entries as usize..lut.num_input_table_entries as usize * 2]
246	0	.to_vec();
247	0	let lin_curve2 = linearization_table
248	0	[lut.num_input_table_entries as usize * 2..lut.num_input_table_entries as usize * 3]
249	0	.to_vec();
250	0	let lin_curve3 = linearization_table
251	0	[lut.num_input_table_entries as usize * 3..lut.num_input_table_entries as usize * 4]
252	0	.to_vec();
253
254	0	let gamma_table = lut.output_table.to_clut_f32();
255
256	0	if gamma_table.len() < lut.num_output_table_entries as usize * 3 {
257	0	return Err(CmsError::MalformedCurveLutTable(MalformedSize {
258	0	size: gamma_table.len(),
259	0	expected: lut.num_output_table_entries as usize * 3,
260	0	}));
261	0	}
262
263	0	let gamma_curve0 = gamma_table[..lut.num_output_table_entries as usize].to_vec();
264	0	let gamma_curve1 = gamma_table
265	0	[lut.num_output_table_entries as usize..lut.num_output_table_entries as usize * 2]
266	0	.to_vec();
267	0	let gamma_curve2 = gamma_table
268	0	[lut.num_output_table_entries as usize * 2..lut.num_output_table_entries as usize * 3]
269	0	.to_vec();
270
271	0	let transform = Lut4x3 {
272	0	linearization: [lin_curve0, lin_curve1, lin_curve2, lin_curve3],
273	0	interpolation_method: options.interpolation_method,
274	0	pcs,
275	0	clut: clut_table,
276	0	grid_size: lut.num_clut_grid_points,
277	0	output: [gamma_curve0, gamma_curve1, gamma_curve2],
278	0	};
279	0	Ok(transform)
280	0	}
281
282	0	fn stage_lut_4x3(
283	0	lut: &LutDataType,
284	0	options: TransformOptions,
285	0	pcs: DataColorSpace,
286	0	) -> Result<Box<dyn Stage>, CmsError> {
287	0	let lut = make_lut_4x3(lut, options, pcs)?;
288	0	let transform = Lut4x3 {
289	0	linearization: lut.linearization,
290	0	interpolation_method: lut.interpolation_method,
291	0	pcs: lut.pcs,
292	0	clut: lut.clut,
293	0	grid_size: lut.grid_size,
294	0	output: lut.output,
295	0	};
296	0	Ok(Box::new(transform))
297	0	}
298
299		#[cfg(feature = "any_to_any")]
300		pub(crate) fn katana_input_stage_lut_4x3<
301		T: Copy + PointeeSizeExpressible + AsPrimitive<f32> + Send + Sync,
302		>(
303		lut: &LutDataType,
304		options: TransformOptions,
305		pcs: DataColorSpace,
306		bit_depth: usize,
307		) -> Result<Box<dyn KatanaInitialStage<f32, T> + Send + Sync>, CmsError> {
308		// There is 4 possible cases:
309		// - All curves are non-linear
310		// - Linearization curves are non-linear, but gamma is linear
311		// - Gamma curves are non-linear, but linearization is linear
312		// - All curves linear
313		let lut = make_lut_4x3(lut, options, pcs)?;
314
315		let transform = KatanaLut4x3::<T> {
316		linearization: lut.linearization,
317		interpolation_method: lut.interpolation_method,
318		pcs: lut.pcs,
319		clut: lut.clut,
320		grid_size: lut.grid_size,
321		output: lut.output,
322		_phantom: PhantomData,
323		bit_depth,
324		};
325		Ok(Box::new(transform))
326		}
327
328	0	pub(crate) fn create_lut4_norm_samples<const SAMPLES: usize>() -> Vec<f32> {
329	0	let lut_size: u32 = (4 * SAMPLES * SAMPLES * SAMPLES * SAMPLES) as u32;
330
331	0	let mut src = Vec::with_capacity(lut_size as usize);
332
333	0	let recpeq = 1f32 / (SAMPLES - 1) as f32;
334	0	for k in 0..SAMPLES {
335	0	for c in 0..SAMPLES {
336	0	for m in 0..SAMPLES {
337	0	for y in 0..SAMPLES {
338	0	src.push(c as f32 * recpeq);
339	0	src.push(m as f32 * recpeq);
340	0	src.push(y as f32 * recpeq);
341	0	src.push(k as f32 * recpeq);
342	0	}
343		}
344		}
345		}
346	0	src
347	0	}
348
349	0	pub(crate) fn create_lut4<const SAMPLES: usize>(
350	0	lut: &LutDataType,
351	0	options: TransformOptions,
352	0	pcs: DataColorSpace,
353	0	) -> Result<Vec<f32>, CmsError> {
354	0	if lut.num_input_channels != 4 {
355	0	return Err(CmsError::UnsupportedProfileConnection);
356	0	}
357	0	let lut_size: u32 = (4 * SAMPLES * SAMPLES * SAMPLES * SAMPLES) as u32;
358
359	0	let src = create_lut4_norm_samples::<SAMPLES>();
360	0	let mut dest = try_vec![0.; (lut_size as usize) / 4 * 3];
361
362	0	let lut_stage = stage_lut_4x3(lut, options, pcs)?;
363	0	lut_stage.transform(&src, &mut dest)?;
364	0	Ok(dest)
365	0	}