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Improve .assume_init() and use Array::maybe_uninit instead of Array::uninitialized #876
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de1b903
FIX: Put .assume_init() on sound ground
bluss 1b45140
FIX: Update stack/concatenate to use maybe_uninit
bluss a216235
FIX: Update .dot() matrix-vector product to use maybe_uninit
bluss 5e9a01f
DOC: Remove unused link to Array::uninitialized in numpy docs
bluss ba07345
FIX: Use maybe_uninit in benchmarks
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Original file line number | Diff line number | Diff line change |
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// Copyright 2020 bluss and ndarray developers. | ||
// | ||
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or | ||
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license | ||
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your | ||
// option. This file may not be copied, modified, or distributed | ||
// except according to those terms. | ||
|
||
use crate::{ | ||
IntoNdProducer, | ||
AssignElem, | ||
Zip, | ||
}; | ||
|
||
/// Assign values from producer P1 to producer P2 | ||
/// P1 and P2 must be of the same shape and dimension | ||
pub(crate) fn assign_to<'a, P1, P2, A>(from: P1, to: P2) | ||
where P1: IntoNdProducer<Item = &'a A>, | ||
P2: IntoNdProducer<Dim = P1::Dim>, | ||
P2::Item: AssignElem<A>, | ||
A: Clone + 'a | ||
{ | ||
Zip::from(from) | ||
.apply_assign_into(to, A::clone); | ||
} | ||
|
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Note that the data storage types are never publically available so the user of ndarray can never reach this method and call it.