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use basic_dsp_vector::*; use basic_dsp_vector::numbers::*; use super::*; use TransformContent; use std::marker; macro_rules! try_transform { ($op: expr, $matrix: ident) => { { match $op { Ok(rows) => Ok($matrix { rows: rows, storage_type: marker::PhantomData, number_type: marker::PhantomData }), Err((r, rows)) => Err(( r, $matrix { rows: rows, storage_type: marker::PhantomData, number_type: marker::PhantomData })), } } } } macro_rules! add_mat_impl { ($($matrix:ident);*) => { $( impl <V: Vector<T> + ToComplexResult, S: ToSlice<T>, T: RealNumber> ToComplexResult for $matrix<V, S, T> where <V as ToComplexResult>::ComplexResult: Vector<T> { type ComplexResult = $matrix<V::ComplexResult, S, T>; } impl<V: Vector<T>, S: ToSlice<T>, T: RealNumber> RealToComplexTransformsOps<T> for $matrix<V, S, T> where <V as ToComplexResult>::ComplexResult: Vector<T>, V: RealToComplexTransformsOps<T> { fn to_complex(self) -> TransRes<Self::ComplexResult> { let rows = self.rows.transform_res(|v|v.to_complex()); try_transform!(rows, $matrix) } } impl<V: Vector<T>, S: ToSliceMut<T>, T: RealNumber> RealToComplexTransformsOpsBuffered<S, T> for $matrix<V, S, T> where <V as ToComplexResult>::ComplexResult: Vector<T>, V: RealToComplexTransformsOpsBuffered<S, T> { fn to_complex_b<B>(self, buffer: &mut B) -> Self::ComplexResult where B: for<'b> Buffer<'b, S, T> { let rows = self.rows.transform(|v|v.to_complex_b(buffer)); $matrix { rows: rows, storage_type: marker::PhantomData, number_type: marker::PhantomData } } } impl<V: Vector<T>, S: ToSlice<T>, T: RealNumber> RealOps for $matrix<V, S, T> where V: RealOps { fn abs(&mut self) { for v in self.rows_mut() { v.abs(); } } } impl<V: Vector<T>, S: ToSlice<T>, T: RealNumber> ModuloOps<T> for $matrix<V, S, T> where V: ModuloOps<T> { fn wrap(&mut self, divisor: T) { for v in self.rows_mut() { v.wrap(divisor); } } fn unwrap(&mut self, divisor: T) { for v in self.rows_mut() { v.unwrap(divisor); } } } impl<S: ToSlice<T>, V: Vector<T> + ApproximatedOps<T>, T: RealNumber> ApproximatedOps<T> for $matrix<V, S, T> { fn ln_approx(&mut self) { for v in self.rows_mut() { v.ln_approx() } } fn exp_approx(&mut self) { for v in self.rows_mut() { v.exp_approx() } } fn sin_approx(&mut self) { for v in self.rows_mut() { v.sin_approx() } } fn cos_approx(&mut self) { for v in self.rows_mut() { v.cos_approx() } } fn log_approx(&mut self, base: T) { for v in self.rows_mut() { v.log_approx(base) } } fn expf_approx(&mut self, base: T) { for v in self.rows_mut() { v.expf_approx(base) } } fn powf_approx(&mut self, exponent: T) { for v in self.rows_mut() { v.powf_approx(exponent) } } } )* } } add_mat_impl!(MatrixMxN; Matrix2xN; Matrix3xN; Matrix4xN);