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use ndarray::{ArrayBase, Axis, Data, Dimension};
use AbsError;
use RelError;
use ApproEqResult;
use ApproEqError;
fn max<D: PartialOrd, T: Iterator<Item = ApproEqResult<D>>>(iter: T) -> ApproEqResult<D> {
iter.fold(Ok(None), move |m, i| {
if match (&m, &i) {
(&Err(_), _) => false,
(_, &Err(_)) => true,
(&Ok(ref m), &Ok(ref i)) => match (m, i) {
(&None, _) => true,
(_, &None) => false,
(&Some(ref m), &Some(ref i)) => i > m,
},
} {
i
} else {
m
}
})
}
#[cfg_attr(feature = "docs", stable(feature = "ndarray", since = "0.1.0"))]
impl<A: Data, B: PartialOrd, C: Data, D: Dimension> AbsError<ArrayBase<A, D>, B> for ArrayBase<C, D>
where
C::Elem: AbsError<A::Elem, B> + Sized,
{
fn abs_error(&self, expected: &ArrayBase<A, D>) -> ApproEqResult<B> {
if self.ndim() != expected.ndim() {
return Err(ApproEqError::LengthMismatch);
}
for n in 0..self.ndim() {
if self.len_of(Axis(n)) != expected.len_of(Axis(n)) {
return Err(ApproEqError::LengthMismatch);
}
}
max(
self.iter()
.zip(expected.iter())
.map(move |(i, j)| i.abs_error(j)),
)
}
}
#[cfg_attr(feature = "docs", stable(feature = "ndarray", since = "0.1.0"))]
impl<A: Data, B: PartialOrd, C: Data, D: Dimension> RelError<ArrayBase<A, D>, B> for ArrayBase<C, D>
where
C::Elem: RelError<A::Elem, B> + Sized,
{
fn rel_error(&self, expected: &ArrayBase<A, D>) -> ApproEqResult<B> {
if self.ndim() != expected.ndim() {
return Err(ApproEqError::LengthMismatch);
}
for n in 0..self.ndim() {
if self.len_of(Axis(n)) != expected.len_of(Axis(n)) {
return Err(ApproEqError::LengthMismatch);
}
}
max(
self.iter()
.zip(expected.iter())
.map(move |(i, j)| i.rel_error(j)),
)
}
}