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la_stack/
rational.rs

1#![forbid(unsafe_code)]
2
3//! Exact-input fixed-size matrices and vectors.
4//!
5//! [`RationalMatrix`] and [`RationalVector`] preserve caller-supplied
6//! [`BigRational`] coefficients without a binary64 round trip. Triangular solves
7//! (including row permutations) use direct exact substitution. Determinants
8//! and general solves clear denominators with a positive scale per row, then
9//! reuse the
10//! crate's fraction-free [`BigInt`] Bareiss backend. The positive row scales
11//! preserve determinant sign; determinant values divide by their product; and
12//! general solves apply the same row scale to the matrix and right-hand side.
13//! See `REFERENCES.md` \[7\] for Bareiss elimination and \[12\] for substitution and determinant
14//! multilinearity. The
15//! [row-clearing construction](https://github.com/acgetchell/la-stack/blob/main/docs/mathematical_basis.md#exact-arithmetic-over-rational-inputs)
16//! explains how these identities apply to canonical rational inputs.
17
18use std::array::from_fn;
19
20use num_bigint::{BigInt, Sign};
21use num_rational::BigRational;
22use num_traits::{One, Zero};
23
24use crate::exact::{det_big_int, solve_big_int};
25use crate::{DeterminantSign, LaError};
26
27/// Exact rational square matrix with compile-time dimension `D`.
28///
29/// Construction validates that every denominator is non-zero and canonicalizes
30/// every entry to lowest terms with a positive denominator. The private storage
31/// then carries those invariants, so determinant and solve methods do not repeat
32/// input validation. Unlike [`crate::Matrix`], entries are already exact rational
33/// values rather than finite binary64 values interpreted exactly.
34///
35/// Direct field construction is intentionally unavailable:
36///
37/// ```compile_fail
38/// use la_stack::{BigRational, RationalMatrix};
39///
40/// let _ = RationalMatrix::<1> {
41///     rows: [[BigRational::from_integer(1.into())]],
42/// };
43/// ```
44#[derive(Clone, Debug, Eq, PartialEq)]
45#[must_use]
46pub struct RationalMatrix<const D: usize> {
47    rows: [[BigRational; D]; D],
48}
49
50/// Exact rational vector with compile-time dimension `D`.
51///
52/// Construction validates that every denominator is non-zero and canonicalizes
53/// every entry to lowest terms with a positive denominator. Solutions returned
54/// by [`RationalMatrix::solve`] and [`crate::Matrix::solve_exact`] also use this
55/// type, making any later conversion to [`Vector`](crate::Vector) explicit through
56/// [`ExactF64Conversion`](crate::ExactF64Conversion).
57/// Use [`try_to_f64`](crate::ExactF64Conversion::try_to_f64) when every component
58/// must remain exact, or [`to_rounded_f64`](crate::ExactF64Conversion::to_rounded_f64)
59/// to opt into round-to-nearest, ties-to-even. Both conversions reject results
60/// that cannot be rounded to finite binary64 values.
61#[derive(Clone, Debug, Eq, PartialEq)]
62#[must_use]
63pub struct RationalVector<const D: usize> {
64    data: [BigRational; D],
65}
66
67impl<const D: usize> RationalMatrix<D> {
68    /// Try to create an exact matrix from row-major rational storage.
69    ///
70    /// Raw, non-reduced [`BigRational::new_raw`] values and negative
71    /// denominators are accepted, interpreted as their mathematical quotient,
72    /// and stored canonically. A raw zero denominator is not a rational value
73    /// and is rejected at this construction boundary.
74    ///
75    /// # Examples
76    /// ```
77    /// use la_stack::prelude::*;
78    ///
79    /// # fn main() -> Result<(), LaError> {
80    /// let matrix = RationalMatrix::<2>::try_from_rows([
81    ///     [
82    ///         BigRational::new(1.into(), 3.into()),
83    ///         BigRational::from_integer(2.into()),
84    ///     ],
85    ///     [
86    ///         BigRational::from_integer(1.into()),
87    ///         BigRational::new(5.into(), 2.into()),
88    ///     ],
89    /// ])?;
90    /// assert_eq!(
91    ///     matrix.det(),
92    ///     BigRational::new((-7).into(), 6.into())
93    /// );
94    /// # Ok(())
95    /// # }
96    /// ```
97    ///
98    /// # Errors
99    /// Returns [`LaError::NonFinite`] at the first matrix cell whose raw
100    /// rational denominator is zero.
101    pub fn try_from_rows(rows: [[BigRational; D]; D]) -> Result<Self, LaError> {
102        for (row_index, row) in rows.iter().enumerate() {
103            for (col_index, value) in row.iter().enumerate() {
104                if value.denom().sign() == Sign::NoSign {
105                    return Err(LaError::non_finite_input_matrix(row_index, col_index));
106                }
107            }
108        }
109        Ok(Self {
110            rows: rows.map(|row| row.map(canonicalize_rational)),
111        })
112    }
113
114    /// Try to create an exact matrix by evaluating a function at every cell.
115    ///
116    /// The function is evaluated once per cell in row-major order.
117    ///
118    /// # Examples
119    /// ```
120    /// use la_stack::prelude::*;
121    ///
122    /// # fn main() -> Result<(), LaError> {
123    /// let diagonal = RationalMatrix::<3>::try_from_fn(|row, col| {
124    ///     BigRational::from_integer(u8::from(row == col).into())
125    /// })?;
126    /// assert_eq!(diagonal.det_sign(), DeterminantSign::Positive);
127    /// # Ok(())
128    /// # }
129    /// ```
130    ///
131    /// # Errors
132    /// Returns [`LaError::NonFinite`] at the first generated cell whose raw
133    /// rational denominator is zero.
134    pub fn try_from_fn(
135        mut make_entry: impl FnMut(usize, usize) -> BigRational,
136    ) -> Result<Self, LaError> {
137        let rows = from_fn(|row| from_fn(|col| make_entry(row, col)));
138        Self::try_from_rows(rows)
139    }
140
141    /// Return the all-zero exact matrix.
142    pub fn zero() -> Self {
143        Self {
144            rows: from_fn(|_| from_fn(|_| BigRational::from_integer(BigInt::from(0)))),
145        }
146    }
147
148    /// Borrow the row-major exact storage.
149    #[must_use]
150    pub const fn as_rows(&self) -> &[[BigRational; D]; D] {
151        &self.rows
152    }
153
154    /// Consume the matrix and return its row-major exact storage.
155    #[must_use]
156    pub fn into_rows(self) -> [[BigRational; D]; D] {
157        self.rows
158    }
159
160    /// Borrow one entry, returning `None` for an out-of-bounds index.
161    #[must_use]
162    pub fn get(&self, row: usize, col: usize) -> Option<&BigRational> {
163        self.rows.get(row)?.get(col)
164    }
165
166    /// Replace one exact entry while preserving the canonical non-zero-
167    /// denominator invariant.
168    ///
169    /// As with [`try_from_rows`](Self::try_from_rows), non-reduced values and
170    /// negative denominators are accepted and canonicalized. Rejected indices
171    /// or denominators leave the matrix unchanged.
172    ///
173    /// # Examples
174    /// ```
175    /// use core::assert_matches;
176    /// use la_stack::prelude::*;
177    ///
178    /// # fn main() -> Result<(), LaError> {
179    /// let mut matrix = RationalMatrix::<2>::zero();
180    /// matrix.set(0, 1, BigRational::new_raw((-2).into(), (-4).into()))?;
181    /// let half = BigRational::new(1.into(), 2.into());
182    /// assert_eq!(matrix.get(0, 1), Some(&half));
183    ///
184    /// let before = matrix.clone();
185    /// assert_matches!(
186    ///     matrix.set(0, 1, BigRational::new_raw(1.into(), 0.into())),
187    ///     Err(LaError::NonFinite {
188    ///         location: NonFiniteLocation::MatrixCell { row: 0, col: 1, .. },
189    ///         origin: NonFiniteOrigin::Input,
190    ///         ..
191    ///     })
192    /// );
193    /// assert_eq!(matrix, before);
194    /// # Ok(())
195    /// # }
196    /// ```
197    ///
198    /// # Errors
199    /// Returns [`LaError::IndexOutOfBounds`] when `(row, col)` lies outside the
200    /// matrix, or [`LaError::NonFinite`] when `value` has a raw zero
201    /// denominator.
202    pub fn set(&mut self, row: usize, col: usize, value: BigRational) -> Result<(), LaError> {
203        if row >= D || col >= D {
204            return Err(LaError::index_out_of_bounds(row, col, D));
205        }
206        if value.denom().sign() == Sign::NoSign {
207            return Err(LaError::non_finite_input_matrix(row, col));
208        }
209        self.rows[row][col] = canonicalize_rational(value);
210        Ok(())
211    }
212
213    /// Return the provably exact determinant sign.
214    ///
215    /// This path clears denominators and reads the sign of the resulting
216    /// integer determinant. It does not construct a rational determinant.
217    /// For D=0, the empty-product determinant has positive sign.
218    /// Use [`det`](Self::det) when the determinant value is also needed.
219    ///
220    /// # Examples
221    /// ```
222    /// use la_stack::prelude::*;
223    ///
224    /// # fn main() -> Result<(), LaError> {
225    /// let mut matrix = RationalMatrix::<2>::zero();
226    /// assert_eq!(matrix.det_sign(), DeterminantSign::Zero);
227    /// matrix.set(0, 1, BigRational::new(1.into(), 3.into()))?;
228    /// matrix.set(1, 0, BigRational::new(1.into(), 2.into()))?;
229    /// // The exact determinant is -1/6, so its sign is negative.
230    /// assert_eq!(matrix.det_sign(), DeterminantSign::Negative);
231    /// # Ok(())
232    /// # }
233    /// ```
234    pub fn det_sign(&self) -> DeterminantSign {
235        let (integer_rows, _) = self.integer_rows();
236        match det_big_int(integer_rows).sign() {
237            Sign::Minus => DeterminantSign::Negative,
238            Sign::NoSign => DeterminantSign::Zero,
239            Sign::Plus => DeterminantSign::Positive,
240        }
241    }
242
243    /// Return the exact determinant.
244    ///
245    /// Denominators are cleared independently per row. If row `i` uses
246    /// positive scale `sᵢ`, the integer determinant is divided by `∏ᵢ sᵢ`.
247    /// For D=0, this returns the empty-product determinant `1`.
248    /// Use [`det_sign`](Self::det_sign) when only the sign is needed, or
249    /// [`ExactF64Conversion`](crate::ExactF64Conversion) to convert this result
250    /// under an explicit strict or rounded binary64 contract.
251    ///
252    /// # Examples
253    /// ```
254    /// use la_stack::prelude::*;
255    ///
256    /// # fn main() -> Result<(), LaError> {
257    /// let mut matrix = RationalMatrix::<2>::zero();
258    /// matrix.set(0, 0, BigRational::new(1.into(), 3.into()))?;
259    /// matrix.set(1, 1, BigRational::from_integer(2.into()))?;
260    /// let determinant = matrix.det();
261    /// assert_eq!(determinant, BigRational::new(2.into(), 3.into()));
262    /// // Conversion rounds only after the exact determinant has been computed.
263    /// assert_eq!(determinant.to_rounded_f64()?, 2.0 / 3.0);
264    /// # Ok(())
265    /// # }
266    /// ```
267    #[must_use]
268    pub fn det(&self) -> BigRational {
269        let (integer_rows, row_scales) = self.integer_rows();
270        let determinant_denominator = row_scales.iter().product();
271        BigRational::new(det_big_int(integer_rows), determinant_denominator)
272    }
273
274    /// Solve `A x = b` exactly.
275    ///
276    /// Upper/lower triangular systems, including row permutations, use direct
277    /// exact substitution after `O(D²)` structure recognition. General systems
278    /// scale each augmented row `[A[row, :], rhs[row]]` to integers once, then
279    /// use fraction-free Bareiss forward elimination in [`BigInt`] followed by
280    /// `O(D²)` integer back-substitution over a shared denominator, reducing once
281    /// per solved row and canonicalizing final outputs. No binary64 conversion
282    /// is performed.
283    /// For D=0, the empty matrix and vector have the unique empty solution.
284    ///
285    /// # Examples
286    /// ```
287    /// use la_stack::prelude::*;
288    ///
289    /// # fn main() -> Result<(), LaError> {
290    /// let zero = BigRational::from_integer(0.into());
291    /// let one = BigRational::from_integer(1.into());
292    /// let matrix = RationalMatrix::<2>::try_from_rows([
293    ///     [BigRational::new(1.into(), 2.into()), zero.clone()],
294    ///     [zero, BigRational::new(1.into(), 3.into())],
295    /// ])?;
296    /// let rhs = RationalVector::try_new([one.clone(), one])?;
297    ///
298    /// let solution = matrix.solve(&rhs)?.try_to_f64()?.into_array();
299    /// assert_eq!(solution, [2.0, 3.0]);
300    /// # Ok(())
301    /// # }
302    /// ```
303    ///
304    /// # Errors
305    /// Returns [`LaError::Singular`] with exact-singularity metadata when a
306    /// pivot column contains no non-zero entry.
307    pub fn solve(&self, rhs: &RationalVector<D>) -> Result<RationalVector<D>, LaError> {
308        if let Some(solution) = self.solve_triangular(rhs) {
309            return Ok(solution);
310        }
311        let row_scales: [BigInt; D] = from_fn(|row| {
312            common_denominator(
313                self.rows[row]
314                    .iter()
315                    .chain(core::iter::once(&rhs.data[row])),
316            )
317        });
318        let integer_rows =
319            from_fn(|row| from_fn(|col| integer_at_scale(&self.rows[row][col], &row_scales[row])));
320        let integer_rhs = from_fn(|row| integer_at_scale(&rhs.data[row], &row_scales[row]));
321        solve_big_int(integer_rows, integer_rhs).map(RationalVector::from_canonical_array)
322    }
323
324    /// A distinct first (upper) or last (lower) non-zero column in every row
325    /// proves a row permutation to a triangular matrix with non-zero diagonal.
326    ///
327    /// D distinct indices in 0..D cover every column; no matrix copy is needed.
328    /// Dense inputs reject at the second repeated edge column.
329    fn triangular_row_order(&self, upper: bool) -> Option<[usize; D]> {
330        let mut order = [0; D];
331        let mut occupied = [false; D];
332        for (row, entries) in self.rows.iter().enumerate() {
333            let column = if upper {
334                entries.iter().position(|entry| !entry.is_zero())
335            } else {
336                entries.iter().rposition(|entry| !entry.is_zero())
337            }?;
338            if occupied[column] {
339                return None;
340            }
341            occupied[column] = true;
342            order[column] = row;
343        }
344        Some(order)
345    }
346
347    /// Substitute only after every pivot has been proven non-zero.
348    ///
349    /// Accumulate each residual as an integer numerator and positive denominator,
350    /// using cross products instead of reducing every multiply and subtraction.
351    /// Reduce once after dividing by the proven non-zero pivot; stored solution
352    /// components are always canonical. Failed recognition returns to Bareiss,
353    /// preserving its singular pivot metadata.
354    fn solve_triangular(&self, rhs: &RationalVector<D>) -> Option<RationalVector<D>> {
355        let (order, upper) = self
356            .triangular_row_order(true)
357            .map(|order| (order, true))
358            .or_else(|| self.triangular_row_order(false).map(|order| (order, false)))?;
359        let mut solution: [BigRational; D] = from_fn(|_| BigRational::zero());
360        for step in 0..D {
361            let column = if upper { D - 1 - step } else { step };
362            let row = order[column];
363            let mut numerator = rhs.data[row].numer().clone();
364            let mut denominator = rhs.data[row].denom().clone();
365            let known = if upper { column + 1..D } else { 0..column };
366            for (coefficient, component) in
367                self.rows[row][known.clone()].iter().zip(&solution[known])
368            {
369                if coefficient.is_zero() || component.is_zero() {
370                    continue;
371                }
372                let product_numerator = coefficient.numer() * component.numer();
373                let product_denominator = coefficient.denom() * component.denom();
374                if denominator == product_denominator {
375                    numerator -= product_numerator;
376                } else {
377                    numerator = numerator * &product_denominator - product_numerator * &denominator;
378                    denominator *= product_denominator;
379                }
380            }
381            let pivot = &self.rows[row][column];
382            solution[column] =
383                BigRational::new(numerator * pivot.denom(), denominator * pivot.numer());
384        }
385        Some(RationalVector::from_canonical_array(solution))
386    }
387
388    /// Clear matrix denominators with one positive common denominator per row.
389    fn integer_rows(&self) -> ([[BigInt; D]; D], [BigInt; D]) {
390        let row_scales: [BigInt; D] = from_fn(|row| common_denominator(self.rows[row].iter()));
391        let integer_rows =
392            from_fn(|row| from_fn(|col| integer_at_scale(&self.rows[row][col], &row_scales[row])));
393        (integer_rows, row_scales)
394    }
395}
396
397impl<const D: usize> RationalVector<D> {
398    /// Wrap values produced by `BigRational` arithmetic, which preserves the
399    /// canonical representation established at public input boundaries.
400    pub(crate) const fn from_canonical_array(data: [BigRational; D]) -> Self {
401        Self { data }
402    }
403
404    /// Try to create an exact vector from rational storage.
405    ///
406    /// Raw, non-reduced values and negative denominators are accepted and
407    /// stored canonically. A raw zero denominator is rejected.
408    ///
409    /// # Examples
410    /// ```
411    /// use la_stack::prelude::*;
412    ///
413    /// # fn main() -> Result<(), LaError> {
414    /// let rhs = RationalVector::<2>::try_new([
415    ///     BigRational::new(1.into(), 2.into()),
416    ///     BigRational::from_integer(3.into()),
417    /// ])?;
418    /// assert_eq!(rhs.try_to_f64()?.into_array(), [0.5, 3.0]);
419    /// # Ok(())
420    /// # }
421    /// ```
422    ///
423    /// # Errors
424    /// Returns [`LaError::NonFinite`] at the first vector entry whose raw
425    /// rational denominator is zero.
426    pub fn try_new(data: [BigRational; D]) -> Result<Self, LaError> {
427        for (index, value) in data.iter().enumerate() {
428            if value.denom().sign() == Sign::NoSign {
429                return Err(LaError::non_finite_input_vector(index));
430            }
431        }
432        Ok(Self {
433            data: data.map(canonicalize_rational),
434        })
435    }
436
437    /// Try to create an exact vector by evaluating a function at every index.
438    ///
439    /// The function is evaluated once per entry in increasing index order.
440    /// All entries are generated before validation and canonicalization, as
441    /// in [`try_new`](Self::try_new).
442    ///
443    /// # Examples
444    /// ```
445    /// use la_stack::prelude::*;
446    ///
447    /// # fn main() -> Result<(), LaError> {
448    /// let numerators = [1, 2, 3];
449    /// let rhs = RationalVector::<3>::try_from_fn(|index| {
450    ///     BigRational::new(numerators[index].into(), 2.into())
451    /// })?;
452    /// assert_eq!(rhs.try_to_f64()?.into_array(), [0.5, 1.0, 1.5]);
453    /// # Ok(())
454    /// # }
455    /// ```
456    ///
457    /// # Errors
458    /// Returns [`LaError::NonFinite`] at the first generated entry whose raw
459    /// rational denominator is zero.
460    pub fn try_from_fn(make_entry: impl FnMut(usize) -> BigRational) -> Result<Self, LaError> {
461        Self::try_new(from_fn(make_entry))
462    }
463
464    /// Return the all-zero exact vector.
465    pub fn zero() -> Self {
466        Self {
467            data: from_fn(|_| BigRational::from_integer(BigInt::from(0))),
468        }
469    }
470
471    /// Borrow the exact backing array.
472    #[must_use]
473    pub const fn as_array(&self) -> &[BigRational; D] {
474        &self.data
475    }
476
477    /// Consume the vector and return its exact backing array.
478    #[must_use]
479    pub fn into_array(self) -> [BigRational; D] {
480        self.data
481    }
482
483    /// Borrow one entry, returning `None` for an out-of-bounds index.
484    #[must_use]
485    pub fn get(&self, index: usize) -> Option<&BigRational> {
486        self.data.get(index)
487    }
488}
489
490/// Reduce one validated rational and make its denominator positive before
491/// publishing it through the exact-input storage types.
492fn canonicalize_rational(value: BigRational) -> BigRational {
493    let (numerator, denominator) = value.into_raw();
494    BigRational::new(numerator, denominator)
495}
496
497/// Return the least common multiple of canonical positive denominators.
498fn common_denominator<'a>(values: impl Iterator<Item = &'a BigRational>) -> BigInt {
499    values.fold(BigInt::from(1), |scale, value| {
500        least_common_multiple(scale, value.denom())
501    })
502}
503
504/// Convert a canonical rational to an integer using a positive divisible scale.
505///
506/// Matrix and vector construction already prove that the denominator is positive.
507fn integer_at_scale(value: &BigRational, scale: &BigInt) -> BigInt {
508    value.numer() * (scale / value.denom())
509}
510
511/// Return the positive least common multiple of two positive integers.
512///
513/// `lcm(a, b) = (a / gcd(a, b)) × b`; dividing before multiplying avoids
514/// forming the larger intermediate `a × b`. The resulting positive scale
515/// clears both denominators without changing determinant sign.
516fn least_common_multiple(lhs: BigInt, rhs: &BigInt) -> BigInt {
517    // Integer entries and repeated denominators leave the current scale unchanged.
518    if rhs.is_one() || lhs == *rhs {
519        return lhs;
520    }
521    // The first non-integer entry establishes the scale without a GCD.
522    if lhs.is_one() {
523        return rhs.clone();
524    }
525    let gcd = greatest_common_divisor(lhs.clone(), rhs.clone());
526    (lhs / gcd) * rhs
527}
528
529/// Euclidean greatest common divisor for positive integers.
530fn greatest_common_divisor(mut lhs: BigInt, mut rhs: BigInt) -> BigInt {
531    let zero = BigInt::from(0);
532    while rhs != zero {
533        let remainder = &lhs % &rhs;
534        lhs = rhs;
535        rhs = remainder;
536    }
537    lhs
538}
539
540#[cfg(test)]
541mod tests {
542    use pastey::paste;
543
544    use super::*;
545    use crate::{
546        ExactF64Conversion, NonFiniteLocation, NonFiniteOrigin, SingularityReason,
547        UnrepresentableReason,
548    };
549
550    fn ratio(numerator: i64, denominator: i64) -> BigRational {
551        BigRational::new(BigInt::from(numerator), BigInt::from(denominator))
552    }
553
554    #[test]
555    fn exact_input_preserves_non_binary64_coefficients() {
556        let matrix = RationalMatrix::<2>::try_from_rows([
557            [ratio(1, 3), ratio(1, 10)],
558            [ratio(2, 7), ratio(3, 11)],
559        ])
560        .unwrap();
561
562        assert_eq!(matrix.det(), ratio(24, 385));
563        assert_eq!(matrix.det_sign(), DeterminantSign::Positive);
564    }
565
566    #[test]
567    fn determinant_handles_pivoting_and_singularity() {
568        let pivoting = RationalMatrix::<3>::try_from_rows([
569            [ratio(0, 1), ratio(1, 2), ratio(0, 1)],
570            [ratio(2, 3), ratio(0, 1), ratio(0, 1)],
571            [ratio(0, 1), ratio(0, 1), ratio(3, 5)],
572        ])
573        .unwrap();
574        assert_eq!(pivoting.det(), ratio(-1, 5));
575        assert_eq!(pivoting.det_sign(), DeterminantSign::Negative);
576
577        let singular = RationalMatrix::<3>::try_from_rows([
578            [ratio(1, 2), ratio(1, 3), ratio(1, 5)],
579            [ratio(1, 1), ratio(2, 3), ratio(2, 5)],
580            [ratio(0, 1), ratio(1, 1), ratio(1, 1)],
581        ])
582        .unwrap();
583        assert_eq!(singular.det(), ratio(0, 1));
584        assert_eq!(singular.det_sign(), DeterminantSign::Zero);
585    }
586
587    #[test]
588    fn row_clearing_accepts_raw_signs_factors_and_dyadic_exponents() {
589        let matrix = RationalMatrix::<2>::try_from_rows([
590            [
591                BigRational::new_raw(BigInt::from(6), BigInt::from(-8)),
592                BigRational::new_raw(BigInt::from(3), BigInt::from(1_u8) << 80_u32),
593            ],
594            [
595                BigRational::new_raw(BigInt::from(-10), BigInt::from(-20)),
596                BigRational::new_raw(BigInt::from(14), BigInt::from(21)),
597            ],
598        ])
599        .unwrap();
600
601        let expected =
602            ratio(-1, 2) - BigRational::new(BigInt::from(3), BigInt::from(1_u8) << 81_u32);
603        assert_eq!(matrix.det(), expected);
604        assert_eq!(matrix.det_sign(), DeterminantSign::Negative);
605        assert_eq!(matrix.as_rows()[0][0], ratio(-3, 4));
606        assert_eq!(matrix.as_rows()[1][0], ratio(1, 2));
607        assert_eq!(matrix.as_rows()[1][1], ratio(2, 3));
608    }
609
610    #[test]
611    fn construction_and_set_store_equal_quotients_identically() {
612        let huge_factor = BigInt::from(1_u8) << 256_u32;
613        let raw = RationalMatrix::<2>::try_from_rows([
614            [
615                BigRational::new_raw(huge_factor.clone(), &huge_factor * 2_u8),
616                BigRational::new_raw(BigInt::from(0), -&huge_factor),
617            ],
618            [ratio(0, 1), ratio(1, 1)],
619        ])
620        .unwrap();
621        let canonical = RationalMatrix::<2>::try_from_rows([
622            [ratio(1, 2), ratio(0, 1)],
623            [ratio(0, 1), ratio(1, 1)],
624        ])
625        .unwrap();
626
627        assert_eq!(raw, canonical);
628        assert_eq!(raw.as_rows()[0][1].denom(), &BigInt::from(1));
629
630        let mut updated = RationalMatrix::<2>::zero();
631        updated
632            .set(
633                0,
634                0,
635                BigRational::new_raw(&huge_factor * 3_u8, -&huge_factor * 6_u8),
636            )
637            .unwrap();
638        assert_eq!(updated.get(0, 0), Some(&ratio(-1, 2)));
639    }
640
641    #[test]
642    fn exact_solve_scales_matrix_and_rhs_together() {
643        let matrix = RationalMatrix::<3>::try_from_rows([
644            [ratio(0, 1), ratio(1, 3), ratio(1, 5)],
645            [ratio(2, 7), ratio(1, 11), ratio(0, 1)],
646            [ratio(1, 13), ratio(0, 1), ratio(3, 2)],
647        ])
648        .unwrap();
649        let expected = [ratio(2, 3), ratio(-4, 5), ratio(7, 9)];
650        let rhs = RationalVector::try_from_fn(|row| {
651            matrix.as_rows()[row]
652                .iter()
653                .zip(expected.iter())
654                .map(|(coefficient, solution)| coefficient * solution)
655                .sum()
656        })
657        .unwrap();
658
659        assert_eq!(matrix.solve(&rhs).unwrap().into_array(), expected);
660    }
661
662    #[test]
663    fn exact_solve_accepts_signed_unreduced_matrix_and_rhs_values() {
664        let matrix = RationalMatrix::<2>::try_from_rows([
665            [
666                BigRational::new_raw(BigInt::from(10), BigInt::from(20)),
667                BigRational::new_raw(BigInt::from(-5), BigInt::from(-15)),
668            ],
669            [
670                BigRational::new_raw(BigInt::from(-6), BigInt::from(-15)),
671                BigRational::new_raw(BigInt::from(9), BigInt::from(21)),
672            ],
673        ])
674        .unwrap();
675        let rhs = RationalVector::try_new([
676            BigRational::new_raw(BigInt::from(0), BigInt::from(-99)),
677            BigRational::new_raw(BigInt::from(34), BigInt::from(-70)),
678        ])
679        .unwrap();
680
681        let solution = matrix.solve(&rhs).unwrap();
682        assert_eq!(solution.as_array(), &[ratio(2, 1), ratio(-3, 1)]);
683        assert_eq!(
684            &matrix.as_rows()[0][0] * &solution.as_array()[0]
685                + &matrix.as_rows()[0][1] * &solution.as_array()[1],
686            rhs.as_array()[0]
687        );
688        assert_eq!(
689            &matrix.as_rows()[1][0] * &solution.as_array()[0]
690                + &matrix.as_rows()[1][1] * &solution.as_array()[1],
691            rhs.as_array()[1]
692        );
693    }
694
695    #[test]
696    fn singular_solve_preserves_exact_pivot_metadata() {
697        let matrix = RationalMatrix::<2>::try_from_rows([
698            [ratio(1, 2), ratio(1, 3)],
699            [ratio(1, 1), ratio(2, 3)],
700        ])
701        .unwrap();
702        let rhs = RationalVector::<2>::zero();
703
704        assert!(matches!(
705            matrix.solve(&rhs),
706            Err(LaError::Singular {
707                pivot_col: 1,
708                reason: SingularityReason::Exact,
709                ..
710            })
711        ));
712    }
713
714    #[test]
715    fn constructors_reject_raw_zero_denominators_with_locations() {
716        let matrix_error = RationalMatrix::<1>::try_from_rows([[BigRational::new_raw(
717            BigInt::from(1),
718            BigInt::from(0),
719        )]])
720        .unwrap_err();
721        assert!(matches!(
722            matrix_error,
723            LaError::NonFinite {
724                location: NonFiniteLocation::MatrixCell { row: 0, col: 0, .. },
725                origin: NonFiniteOrigin::Input,
726                ..
727            }
728        ));
729
730        let vector_error =
731            RationalVector::<1>::try_new([BigRational::new_raw(BigInt::from(1), BigInt::from(0))])
732                .unwrap_err();
733        assert!(matches!(
734            vector_error,
735            LaError::NonFinite {
736                location: NonFiniteLocation::VectorEntry { index: 0, .. },
737                origin: NonFiniteOrigin::Input,
738                ..
739            }
740        ));
741    }
742
743    macro_rules! gen_rejected_set_is_failure_atomic_tests {
744        ($d:literal) => {
745            paste! {
746                #[test]
747                fn [<rejected_set_is_failure_atomic_ $d d>]() {
748                    let mut matrix = RationalMatrix::<$d>::try_from_fn(|row, col| {
749                        BigRational::from_integer(BigInt::from(row * $d + col + 1))
750                    })
751                    .unwrap();
752                    let original = matrix.clone();
753
754                    assert!(matches!(
755                        matrix.set($d, 0, ratio(1, 2)),
756                        Err(LaError::IndexOutOfBounds {
757                            row: $d,
758                            col: 0,
759                            dim: $d,
760                            ..
761                        })
762                    ));
763                    assert_eq!(matrix, original);
764
765                    let zero_denominator =
766                        BigRational::new_raw(BigInt::from(1), BigInt::from(0));
767                    assert!(matches!(
768                        matrix.set(0, 1, zero_denominator),
769                        Err(LaError::NonFinite {
770                            location: NonFiniteLocation::MatrixCell { row: 0, col: 1, .. },
771                            origin: NonFiniteOrigin::Input,
772                            ..
773                        })
774                    ));
775                    assert_eq!(matrix, original);
776                }
777            }
778        };
779    }
780
781    gen_rejected_set_is_failure_atomic_tests!(2);
782    gen_rejected_set_is_failure_atomic_tests!(3);
783    gen_rejected_set_is_failure_atomic_tests!(4);
784    gen_rejected_set_is_failure_atomic_tests!(5);
785
786    #[test]
787    fn zero_dimension_uses_empty_determinant_and_unique_solve() {
788        let matrix = RationalMatrix::<0>::zero();
789        assert_eq!(matrix.det(), ratio(1, 1));
790        assert_eq!(matrix.det_sign(), DeterminantSign::Positive);
791        assert_eq!(
792            matrix.solve(&RationalVector::zero()).unwrap().into_array(),
793            []
794        );
795    }
796
797    #[test]
798    fn rational_vector_conversion_is_explicit() {
799        let vector = RationalVector::<2>::try_new([ratio(1, 2), ratio(1, 3)]).unwrap();
800        assert!(matches!(
801            vector.try_to_f64(),
802            Err(LaError::Unrepresentable {
803                index: Some(1),
804                reason: UnrepresentableReason::RequiresRounding,
805                ..
806            })
807        ));
808        let rounded = vector.to_rounded_f64().unwrap().into_array();
809        assert_eq!(rounded[0].to_bits(), 0.5_f64.to_bits());
810        assert_eq!(rounded[1].to_bits(), (1.0_f64 / 3.0).to_bits());
811    }
812
813    macro_rules! gen_pivoting_tests {
814        ($d:literal) => {
815            paste! {
816                #[test]
817                fn [<pivoting_determinant_and_solve_ $d d>]() {
818                    let matrix = RationalMatrix::<$d>::try_from_fn(|row, col| {
819                        let is_permutation_entry = (row == 0 && col == 1)
820                            || (row == 1 && col == 0)
821                            || (row >= 2 && row == col);
822                        BigRational::from_integer(BigInt::from(u8::from(is_permutation_entry)))
823                    })
824                    .unwrap();
825                    let expected = from_fn(|index| {
826                        BigRational::new(BigInt::from(1), BigInt::from(index + 2))
827                    });
828                    let rhs = RationalVector::try_from_fn(|row| {
829                        matrix.as_rows()[row]
830                            .iter()
831                            .zip(expected.iter())
832                            .map(|(coefficient, component)| coefficient * component)
833                            .sum()
834                    })
835                    .unwrap();
836
837                    assert_eq!(matrix.det_sign(), DeterminantSign::Negative);
838                    assert_eq!(matrix.det(), ratio(-1, 1));
839                    assert_eq!(matrix.solve(&rhs).unwrap().into_array(), expected);
840                }
841            }
842        };
843    }
844
845    gen_pivoting_tests!(2);
846    gen_pivoting_tests!(3);
847    gen_pivoting_tests!(4);
848    gen_pivoting_tests!(5);
849    gen_pivoting_tests!(6);
850    gen_pivoting_tests!(7);
851    gen_pivoting_tests!(8);
852}