1use poulpy_hal::{
  2    layouts::{Data, DataMut, DataRef, FillUniform, ReaderFrom, WriterTo},
  3    source::Source,
  4};
  5
  6use crate::layouts::{
  7    Base2K, Degree, Dnum, Dsize, GGLWEInfos, GLWEInfos, GLWESwitchingKey, GLWESwitchingKeyToMut, GLWESwitchingKeyToRef, LWEInfos,
  8    Rank, TorusPrecision,
  9};
 10use byteorder::{LittleEndian, ReadBytesExt, WriteBytesExt};
 11
 12use std::fmt;
 13
 14#[derive(PartialEq, Eq, Copy, Clone, Debug)]
 15pub struct TensorKeyLayout {
 16    pub n: Degree,
 17    pub base2k: Base2K,
 18    pub k: TorusPrecision,
 19    pub rank: Rank,
 20    pub dnum: Dnum,
 21    pub dsize: Dsize,
 22}
 23
 24#[derive(PartialEq, Eq, Clone)]
 25pub struct TensorKey<D: Data> {
 26    pub(crate) keys: Vec<GLWESwitchingKey<D>>,
 27}
 28
 29impl<D: Data> LWEInfos for TensorKey<D> {
 30    fn n(&self) -> Degree {
 31        self.keys[0].n()
 32    }
 33
 34    fn base2k(&self) -> Base2K {
 35        self.keys[0].base2k()
 36    }
 37
 38    fn k(&self) -> TorusPrecision {
 39        self.keys[0].k()
 40    }
 41
 42    fn size(&self) -> usize {
 43        self.keys[0].size()
 44    }
 45}
 46
 47impl<D: Data> GLWEInfos for TensorKey<D> {
 48    fn rank(&self) -> Rank {
 49        self.keys[0].rank_out()
 50    }
 51}
 52
 53impl<D: Data> GGLWEInfos for TensorKey<D> {
 54    fn rank_in(&self) -> Rank {
 55        self.rank_out()
 56    }
 57
 58    fn rank_out(&self) -> Rank {
 59        self.keys[0].rank_out()
 60    }
 61
 62    fn dsize(&self) -> Dsize {
 63        self.keys[0].dsize()
 64    }
 65
 66    fn dnum(&self) -> Dnum {
 67        self.keys[0].dnum()
 68    }
 69}
 70
 71impl LWEInfos for TensorKeyLayout {
 72    fn n(&self) -> Degree {
 73        self.n
 74    }
 75
 76    fn base2k(&self) -> Base2K {
 77        self.base2k
 78    }
 79
 80    fn k(&self) -> TorusPrecision {
 81        self.k
 82    }
 83}
 84
 85impl GLWEInfos for TensorKeyLayout {
 86    fn rank(&self) -> Rank {
 87        self.rank_out()
 88    }
 89}
 90
 91impl GGLWEInfos for TensorKeyLayout {
 92    fn rank_in(&self) -> Rank {
 93        self.rank
 94    }
 95
 96    fn dsize(&self) -> Dsize {
 97        self.dsize
 98    }
 99
100    fn rank_out(&self) -> Rank {
101        self.rank
102    }
103
104    fn dnum(&self) -> Dnum {
105        self.dnum
106    }
107}
108
109impl<D: DataRef> fmt::Debug for TensorKey<D> {
110    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
111        write!(f, "{self}")
112    }
113}
114
115impl<D: DataMut> FillUniform for TensorKey<D> {
116    fn fill_uniform(&mut self, log_bound: usize, source: &mut Source) {
117        self.keys
118            .iter_mut()
119            .for_each(|key: &mut GLWESwitchingKey<D>| key.fill_uniform(log_bound, source))
120    }
121}
122
123impl<D: DataRef> fmt::Display for TensorKey<D> {
124    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
125        writeln!(f, "(GLWETensorKey)",)?;
126        for (i, key) in self.keys.iter().enumerate() {
127            write!(f, "{i}: {key}")?;
128        }
129        Ok(())
130    }
131}
132
133impl TensorKey<Vec<u8>> {
134    pub fn alloc<A>(infos: &A) -> Self
135    where
136        A: GGLWEInfos,
137    {
138        assert_eq!(
139            infos.rank_in(),
140            infos.rank_out(),
141            "rank_in != rank_out is not supported for GGLWETensorKey"
142        );
143        Self::alloc_with(
144            infos.n(),
145            infos.base2k(),
146            infos.k(),
147            infos.rank_out(),
148            infos.dnum(),
149            infos.dsize(),
150        )
151    }
152
153    pub fn alloc_with(n: Degree, base2k: Base2K, k: TorusPrecision, rank: Rank, dnum: Dnum, dsize: Dsize) -> Self {
154        let mut keys: Vec<GLWESwitchingKey<Vec<u8>>> = Vec::new();
155        let pairs: u32 = (((rank.0 + 1) * rank.0) >> 1).max(1);
156        (0..pairs).for_each(|_| {
157            keys.push(GLWESwitchingKey::alloc_with(
158                n,
159                base2k,
160                k,
161                Rank(1),
162                rank,
163                dnum,
164                dsize,
165            ));
166        });
167        Self { keys }
168    }
169
170    pub fn alloc_bytes<A>(infos: &A) -> usize
171    where
172        A: GGLWEInfos,
173    {
174        assert_eq!(
175            infos.rank_in(),
176            infos.rank_out(),
177            "rank_in != rank_out is not supported for GGLWETensorKey"
178        );
179        let rank_out: usize = infos.rank_out().into();
180        let pairs: usize = (((rank_out + 1) * rank_out) >> 1).max(1);
181        pairs
182            * GLWESwitchingKey::alloc_bytes_with(
183                infos.n(),
184                infos.base2k(),
185                infos.k(),
186                Rank(1),
187                infos.rank_out(),
188                infos.dnum(),
189                infos.dsize(),
190            )
191    }
192
193    pub fn alloc_bytes_with(n: Degree, base2k: Base2K, k: TorusPrecision, rank: Rank, dnum: Dnum, dsize: Dsize) -> usize {
194        let pairs: usize = (((rank.0 + 1) * rank.0) >> 1).max(1) as usize;
195        pairs * GLWESwitchingKey::alloc_bytes_with(n, base2k, k, Rank(1), rank, dnum, dsize)
196    }
197}
198
199impl<D: DataMut> TensorKey<D> {
200    // Returns a mutable reference to GLWESwitchingKey_{s}(s[i] * s[j])
201    pub fn at_mut(&mut self, mut i: usize, mut j: usize) -> &mut GLWESwitchingKey<D> {
202        if i > j {
203            std::mem::swap(&mut i, &mut j);
204        };
205        let rank: usize = self.rank_out().into();
206        &mut self.keys[i * rank + j - (i * (i + 1) / 2)]
207    }
208}
209
210impl<D: DataRef> TensorKey<D> {
211    // Returns a reference to GLWESwitchingKey_{s}(s[i] * s[j])
212    pub fn at(&self, mut i: usize, mut j: usize) -> &GLWESwitchingKey<D> {
213        if i > j {
214            std::mem::swap(&mut i, &mut j);
215        };
216        let rank: usize = self.rank_out().into();
217        &self.keys[i * rank + j - (i * (i + 1) / 2)]
218    }
219}
220
221impl<D: DataMut> ReaderFrom for TensorKey<D> {
222    fn read_from<R: std::io::Read>(&mut self, reader: &mut R) -> std::io::Result<()> {
223        let len: usize = reader.read_u64::<LittleEndian>()? as usize;
224        if self.keys.len() != len {
225            return Err(std::io::Error::new(
226                std::io::ErrorKind::InvalidData,
227                format!("self.keys.len()={} != read len={}", self.keys.len(), len),
228            ));
229        }
230        for key in &mut self.keys {
231            key.read_from(reader)?;
232        }
233        Ok(())
234    }
235}
236
237impl<D: DataRef> WriterTo for TensorKey<D> {
238    fn write_to<W: std::io::Write>(&self, writer: &mut W) -> std::io::Result<()> {
239        writer.write_u64::<LittleEndian>(self.keys.len() as u64)?;
240        for key in &self.keys {
241            key.write_to(writer)?;
242        }
243        Ok(())
244    }
245}
246
247pub trait TensorKeyToRef {
248    fn to_ref(&self) -> TensorKey<&[u8]>;
249}
250
251impl<D: DataRef> TensorKeyToRef for TensorKey<D>
252where
253    GLWESwitchingKey<D>: GLWESwitchingKeyToRef,
254{
255    fn to_ref(&self) -> TensorKey<&[u8]> {
256        TensorKey {
257            keys: self.keys.iter().map(|c| c.to_ref()).collect(),
258        }
259    }
260}
261
262pub trait TensorKeyToMut {
263    fn to_ref(&mut self) -> TensorKey<&mut [u8]>;
264}
265
266impl<D: DataMut> TensorKeyToMut for TensorKey<D>
267where
268    GLWESwitchingKey<D>: GLWESwitchingKeyToMut,
269{
270    fn to_ref(&mut self) -> TensorKey<&mut [u8]> {
271        TensorKey {
272            keys: self.keys.iter_mut().map(|c| c.to_mut()).collect(),
273        }
274    }
275}