<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `/home/sangenya/.cargo/registry/src/github.com-1ecc6299db9ec823/ndarray-0.10.14/src/impl_ops.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>impl_ops.rs - source</title><link rel="stylesheet" type="text/css" href="../../normalize.css"><link rel="stylesheet" type="text/css" href="../../rustdoc.css" id="mainThemeStyle"><link rel="stylesheet" type="text/css" href="../../light.css" id="themeStyle"><link rel="stylesheet" type="text/css" href="../../dark.css" disabled ><link rel="stylesheet" type="text/css" href="../../ayu.css" disabled ><script id="default-settings"></script><script src="../../storage.js"></script><script src="../../crates.js"></script><noscript><link rel="stylesheet" href="../../noscript.css"></noscript><link rel="icon" type="image/svg+xml" href="../../favicon.svg">
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</pre><pre class="rust">
<span class="comment">// Copyright 2014-2016 bluss and ndarray developers.</span>
<span class="comment">//</span>
<span class="comment">// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or</span>
<span class="comment">// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license</span>
<span class="comment">// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your</span>
<span class="comment">// option. This file may not be copied, modified, or distributed</span>
<span class="comment">// except according to those terms.</span>
<span class="kw">use</span> <span class="ident">num_complex::Complex</span>;
<span class="doccomment">/// Elements that can be used as direct operands in arithmetic with arrays.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For example, `f64` is a `ScalarOperand` which means that for an array `a`,</span>
<span class="doccomment">/// arithmetic like `a + 1.0`, and, `a * 2.`, and `a += 3.` are allowed.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// In the description below, let `A` be an array or array view,</span>
<span class="doccomment">/// let `B` be an array with owned data,</span>
<span class="doccomment">/// and let `C` be an array with mutable data.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// `ScalarOperand` determines for which scalars `K` operations `&A @ K`, and `B @ K`,</span>
<span class="doccomment">/// and `C @= K` are defined, as ***right hand side operands***, for applicable</span>
<span class="doccomment">/// arithmetic operators (denoted `@`).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Left hand side*** scalar operands are not related to this trait</span>
<span class="doccomment">/// (they need one `impl` per concrete scalar type); but they are still</span>
<span class="doccomment">/// implemented for the same types, allowing operations</span>
<span class="doccomment">/// `K @ &A`, and `K @ B` for primitive numeric types `K`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This trait ***does not*** limit which elements can be stored in an array in general.</span>
<span class="doccomment">/// Non-`ScalarOperand` types can still participate in arithmetic as array elements in</span>
<span class="doccomment">/// in array-array operations.</span>
<span class="kw">pub</span> <span class="kw">trait</span> <span class="ident">ScalarOperand</span> : <span class="lifetime">'static</span> <span class="op">+</span> <span class="ident">Clone</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">bool</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">i8</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">u8</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">i16</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">u16</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">i32</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">u32</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">i64</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">u64</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">isize</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">usize</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">f32</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">f64</span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">Complex</span><span class="op"><</span><span class="ident">f32</span><span class="op">></span> { }
<span class="kw">impl</span> <span class="ident">ScalarOperand</span> <span class="kw">for</span> <span class="ident">Complex</span><span class="op"><</span><span class="ident">f64</span><span class="op">></span> { }
<span class="macro">macro_rules!</span> <span class="ident">impl_binary_op</span>(
(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">operator</span>:<span class="ident">tt</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">iop</span>:<span class="ident">tt</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>:<span class="ident">expr</span>) <span class="op">=</span><span class="op">></span> (
<span class="doccomment">/// Perform elementwise</span>
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="doccomment">/// between `self` and `rhs`,</span>
<span class="doccomment">/// and return the result (based on `self`).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// `self` must be an `Array` or `RcArray`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// If their shapes disagree, `rhs` is broadcast to the shape of `self`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if broadcasting isn’t possible.</span>
<span class="kw">impl</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">S2</span>, <span class="ident">D</span>, <span class="ident">E</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span><span class="op">></span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataOwned</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span> <span class="op">+</span> <span class="ident">DataMut</span>,
<span class="ident">S2</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>, <span class="ident">rhs</span>: <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
{
<span class="self">self</span>.<span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="kw-2">&</span><span class="ident">rhs</span>)
}
}
<span class="doccomment">/// Perform elementwise</span>
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="doccomment">/// between `self` and reference `rhs`,</span>
<span class="doccomment">/// and return the result (based on `self`).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// If their shapes disagree, `rhs` is broadcast to the shape of `self`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if broadcasting isn’t possible.</span>
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">S2</span>, <span class="ident">D</span>, <span class="ident">E</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span><span class="op">></span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataMut</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S2</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">rhs</span>: <span class="kw-2">&</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
{
<span class="self">self</span>.<span class="ident">zip_mut_with</span>(<span class="ident">rhs</span>, <span class="op">|</span><span class="ident">x</span>, <span class="ident">y</span><span class="op">|</span> {
<span class="kw-2">*</span><span class="ident">x</span> <span class="op">=</span> <span class="ident">x</span>.<span class="ident">clone</span>() <span class="macro-nonterminal">$</span><span class="macro-nonterminal">operator</span> <span class="ident">y</span>.<span class="ident">clone</span>();
});
<span class="self">self</span>
}
}
<span class="doccomment">/// Perform elementwise</span>
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="doccomment">/// between references `self` and `rhs`,</span>
<span class="doccomment">/// and return the result as a new `Array`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// If their shapes disagree, `rhs` is broadcast to the shape of `self`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if broadcasting isn’t possible.</span>
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="lifetime">'b</span>, <span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">S2</span>, <span class="ident">D</span>, <span class="ident">E</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span><span class="op">></span> <span class="kw">for</span> <span class="kw-2">&</span><span class="lifetime">'b</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S2</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>, <span class="ident">rhs</span>: <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="comment">// FIXME: Can we co-broadcast arrays here? And how?</span>
<span class="self">self</span>.<span class="ident">to_owned</span>().<span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="ident">rhs</span>)
}
}
<span class="doccomment">/// Perform elementwise</span>
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="doccomment">/// between `self` and the scalar `x`,</span>
<span class="doccomment">/// and return the result (based on `self`).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// `self` must be an `Array` or `RcArray`.</span>
<span class="kw">impl</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span>, <span class="ident">B</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">B</span><span class="op">></span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataOwned</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span> <span class="op">+</span> <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
<span class="ident">B</span>: <span class="ident">ScalarOperand</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">x</span>: <span class="ident">B</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> {
<span class="self">self</span>.<span class="ident">unordered_foreach_mut</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">elt</span><span class="op">|</span> {
<span class="kw-2">*</span><span class="ident">elt</span> <span class="op">=</span> <span class="ident">elt</span>.<span class="ident">clone</span>() <span class="macro-nonterminal">$</span><span class="macro-nonterminal">operator</span> <span class="ident">x</span>.<span class="ident">clone</span>();
});
<span class="self">self</span>
}
}
<span class="doccomment">/// Perform elementwise</span>
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="doccomment">/// between the reference `self` and the scalar `x`,</span>
<span class="doccomment">/// and return the result as a new `Array`.</span>
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span>, <span class="ident">B</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">B</span><span class="op">></span> <span class="kw">for</span> <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
<span class="ident">B</span>: <span class="ident">ScalarOperand</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>, <span class="ident">x</span>: <span class="ident">B</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="self">self</span>.<span class="ident">to_owned</span>().<span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="ident">x</span>)
}
}
);
);
<span class="comment">// Pick the expression $a for commutative and $b for ordered binop</span>
<span class="macro">macro_rules!</span> <span class="ident">if_commutative</span> {
(<span class="ident">Commute</span> { <span class="macro-nonterminal">$</span><span class="macro-nonterminal">a</span>:<span class="ident">expr</span> } <span class="ident">or</span> { <span class="macro-nonterminal">$</span><span class="macro-nonterminal">b</span>:<span class="ident">expr</span> }) <span class="op">=</span><span class="op">></span> (<span class="macro-nonterminal">$</span><span class="macro-nonterminal">a</span>);
(<span class="ident">Ordered</span> { <span class="macro-nonterminal">$</span><span class="macro-nonterminal">a</span>:<span class="ident">expr</span> } <span class="ident">or</span> { <span class="macro-nonterminal">$</span><span class="macro-nonterminal">b</span>:<span class="ident">expr</span> }) <span class="op">=</span><span class="op">></span> (<span class="macro-nonterminal">$</span><span class="macro-nonterminal">b</span>);
}
<span class="macro">macro_rules!</span> <span class="ident">impl_scalar_lhs_op</span> {
<span class="comment">// $commutative flag. Reuse the self + scalar impl if we can.</span>
<span class="comment">// We can do this safely since these are the primitive numeric types</span>
(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span>:<span class="ident">ty</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">commutative</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">operator</span>:<span class="ident">tt</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>:<span class="ident">expr</span>) <span class="op">=</span><span class="op">></span> (
<span class="comment">// these have no doc -- they are not visible in rustdoc</span>
<span class="comment">// Perform elementwise</span>
<span class="comment">// between the scalar `self` and array `rhs`,</span>
<span class="comment">// and return the result (based on `self`).</span>
<span class="kw">impl</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span><span class="op">></span> <span class="kw">for</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataOwned</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span><span class="op">></span> <span class="op">+</span> <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>, <span class="ident">rhs</span>: <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> {
<span class="macro">if_commutative!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">commutative</span> {
<span class="ident">rhs</span>.<span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>)
} <span class="ident">or</span> {{
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">rhs</span> <span class="op">=</span> <span class="ident">rhs</span>;
<span class="ident">rhs</span>.<span class="ident">unordered_foreach_mut</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">elt</span><span class="op">|</span> {
<span class="kw-2">*</span><span class="ident">elt</span> <span class="op">=</span> <span class="self">self</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">operator</span> <span class="kw-2">*</span><span class="ident">elt</span>;
});
<span class="ident">rhs</span>
}})
}
}
<span class="comment">// Perform elementwise</span>
<span class="comment">// between the scalar `self` and array `rhs`,</span>
<span class="comment">// and return the result as a new `Array`.</span>
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span><span class="op">></span> <span class="kw">for</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">Array</span><span class="op"><</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span>, <span class="ident">D</span><span class="op">></span>;
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>, <span class="ident">rhs</span>: <span class="kw-2">&</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">scalar</span>, <span class="ident">D</span><span class="op">></span> {
<span class="macro">if_commutative!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">commutative</span> {
<span class="ident">rhs</span>.<span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="self">self</span>)
} <span class="ident">or</span> {
<span class="self">self</span>.<span class="macro-nonterminal">$</span><span class="macro-nonterminal">mth</span>(<span class="ident">rhs</span>.<span class="ident">to_owned</span>())
})
}
}
);
}
<span class="kw">mod</span> <span class="ident">arithmetic_ops</span> {
<span class="kw">use</span> <span class="kw">super</span>::<span class="kw-2">*</span>;
<span class="kw">use</span> <span class="ident">imp_prelude</span>::<span class="kw-2">*</span>;
<span class="kw">use</span> <span class="ident">std::ops</span>::<span class="kw-2">*</span>;
<span class="kw">use</span> <span class="ident">num_complex::Complex</span>;
<span class="macro">impl_binary_op!</span>(<span class="ident">Add</span>, <span class="op">+</span>, <span class="ident">add</span>, <span class="op">+</span><span class="op">=</span>, <span class="string">"addition"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">Sub</span>, <span class="op">-</span>, <span class="ident">sub</span>, <span class="op">-</span><span class="op">=</span>, <span class="string">"subtraction"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">Mul</span>, <span class="kw-2">*</span>, <span class="ident">mul</span>, <span class="kw-2">*</span><span class="op">=</span>, <span class="string">"multiplication"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">Div</span>, <span class="op">/</span>, <span class="ident">div</span>, <span class="op">/</span><span class="op">=</span>, <span class="string">"division"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">Rem</span>, <span class="op">%</span>, <span class="ident">rem</span>, <span class="op">%</span><span class="op">=</span>, <span class="string">"remainder"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">BitAnd</span>, <span class="kw-2">&</span>, <span class="ident">bitand</span>, <span class="op">&=</span>, <span class="string">"bit and"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">BitOr</span>, <span class="op">|</span>, <span class="ident">bitor</span>, <span class="op">|</span><span class="op">=</span>, <span class="string">"bit or"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">BitXor</span>, <span class="op">^</span>, <span class="ident">bitxor</span>, <span class="op">^</span><span class="op">=</span>, <span class="string">"bit xor"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">Shl</span>, <span class="op"><</span><span class="op"><</span>, <span class="ident">shl</span>, <span class="op"><</span><span class="op"><</span><span class="op">=</span>, <span class="string">"left shift"</span>);
<span class="macro">impl_binary_op!</span>(<span class="ident">Shr</span>, <span class="op">></span><span class="op">></span>, <span class="ident">shr</span>, <span class="op">></span><span class="op">></span><span class="op">=</span>, <span class="string">"right shift"</span>);
<span class="macro">macro_rules!</span> <span class="ident">all_scalar_ops</span> {
(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>:<span class="ident">ty</span>) <span class="op">=</span><span class="op">></span> (
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Commute</span>, <span class="op">+</span>, <span class="ident">Add</span>, <span class="ident">add</span>, <span class="string">"addition"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Ordered</span>, <span class="op">-</span>, <span class="ident">Sub</span>, <span class="ident">sub</span>, <span class="string">"subtraction"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Commute</span>, <span class="kw-2">*</span>, <span class="ident">Mul</span>, <span class="ident">mul</span>, <span class="string">"multiplication"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Ordered</span>, <span class="op">/</span>, <span class="ident">Div</span>, <span class="ident">div</span>, <span class="string">"division"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Ordered</span>, <span class="op">%</span>, <span class="ident">Rem</span>, <span class="ident">rem</span>, <span class="string">"remainder"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Commute</span>, <span class="kw-2">&</span>, <span class="ident">BitAnd</span>, <span class="ident">bitand</span>, <span class="string">"bit and"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Commute</span>, <span class="op">|</span>, <span class="ident">BitOr</span>, <span class="ident">bitor</span>, <span class="string">"bit or"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Commute</span>, <span class="op">^</span>, <span class="ident">BitXor</span>, <span class="ident">bitxor</span>, <span class="string">"bit xor"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Ordered</span>, <span class="op"><</span><span class="op"><</span>, <span class="ident">Shl</span>, <span class="ident">shl</span>, <span class="string">"left shift"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">int_scalar</span>, <span class="ident">Ordered</span>, <span class="op">></span><span class="op">></span>, <span class="ident">Shr</span>, <span class="ident">shr</span>, <span class="string">"right shift"</span>);
);
}
<span class="macro">all_scalar_ops!</span>(<span class="ident">i8</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">u8</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">i16</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">u16</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">i32</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">u32</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">i64</span>);
<span class="macro">all_scalar_ops!</span>(<span class="ident">u64</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">bool</span>, <span class="ident">Commute</span>, <span class="kw-2">&</span>, <span class="ident">BitAnd</span>, <span class="ident">bitand</span>, <span class="string">"bit and"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">bool</span>, <span class="ident">Commute</span>, <span class="op">|</span>, <span class="ident">BitOr</span>, <span class="ident">bitor</span>, <span class="string">"bit or"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">bool</span>, <span class="ident">Commute</span>, <span class="op">^</span>, <span class="ident">BitXor</span>, <span class="ident">bitxor</span>, <span class="string">"bit xor"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f32</span>, <span class="ident">Commute</span>, <span class="op">+</span>, <span class="ident">Add</span>, <span class="ident">add</span>, <span class="string">"addition"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f32</span>, <span class="ident">Ordered</span>, <span class="op">-</span>, <span class="ident">Sub</span>, <span class="ident">sub</span>, <span class="string">"subtraction"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f32</span>, <span class="ident">Commute</span>, <span class="kw-2">*</span>, <span class="ident">Mul</span>, <span class="ident">mul</span>, <span class="string">"multiplication"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f32</span>, <span class="ident">Ordered</span>, <span class="op">/</span>, <span class="ident">Div</span>, <span class="ident">div</span>, <span class="string">"division"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f32</span>, <span class="ident">Ordered</span>, <span class="op">%</span>, <span class="ident">Rem</span>, <span class="ident">rem</span>, <span class="string">"remainder"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f64</span>, <span class="ident">Commute</span>, <span class="op">+</span>, <span class="ident">Add</span>, <span class="ident">add</span>, <span class="string">"addition"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f64</span>, <span class="ident">Ordered</span>, <span class="op">-</span>, <span class="ident">Sub</span>, <span class="ident">sub</span>, <span class="string">"subtraction"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f64</span>, <span class="ident">Commute</span>, <span class="kw-2">*</span>, <span class="ident">Mul</span>, <span class="ident">mul</span>, <span class="string">"multiplication"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f64</span>, <span class="ident">Ordered</span>, <span class="op">/</span>, <span class="ident">Div</span>, <span class="ident">div</span>, <span class="string">"division"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">f64</span>, <span class="ident">Ordered</span>, <span class="op">%</span>, <span class="ident">Rem</span>, <span class="ident">rem</span>, <span class="string">"remainder"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f32</span><span class="op">></span>, <span class="ident">Commute</span>, <span class="op">+</span>, <span class="ident">Add</span>, <span class="ident">add</span>, <span class="string">"addition"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f32</span><span class="op">></span>, <span class="ident">Ordered</span>, <span class="op">-</span>, <span class="ident">Sub</span>, <span class="ident">sub</span>, <span class="string">"subtraction"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f32</span><span class="op">></span>, <span class="ident">Commute</span>, <span class="kw-2">*</span>, <span class="ident">Mul</span>, <span class="ident">mul</span>, <span class="string">"multiplication"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f32</span><span class="op">></span>, <span class="ident">Ordered</span>, <span class="op">/</span>, <span class="ident">Div</span>, <span class="ident">div</span>, <span class="string">"division"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f64</span><span class="op">></span>, <span class="ident">Commute</span>, <span class="op">+</span>, <span class="ident">Add</span>, <span class="ident">add</span>, <span class="string">"addition"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f64</span><span class="op">></span>, <span class="ident">Ordered</span>, <span class="op">-</span>, <span class="ident">Sub</span>, <span class="ident">sub</span>, <span class="string">"subtraction"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f64</span><span class="op">></span>, <span class="ident">Commute</span>, <span class="kw-2">*</span>, <span class="ident">Mul</span>, <span class="ident">mul</span>, <span class="string">"multiplication"</span>);
<span class="macro">impl_scalar_lhs_op!</span>(<span class="ident">Complex</span><span class="op"><</span><span class="ident">f64</span><span class="op">></span>, <span class="ident">Ordered</span>, <span class="op">/</span>, <span class="ident">Div</span>, <span class="ident">div</span>, <span class="string">"division"</span>);
<span class="kw">impl</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="ident">Neg</span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="ident">Neg</span><span class="op"><</span><span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataOwned</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span> <span class="op">+</span> <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="self">Self</span>;
<span class="doccomment">/// Perform an elementwise negation of `self` and return the result.</span>
<span class="kw">fn</span> <span class="ident">neg</span>(<span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="self">Self</span> {
<span class="self">self</span>.<span class="ident">unordered_foreach_mut</span>(<span class="op">|</span><span class="ident">elt</span><span class="op">|</span> {
<span class="kw-2">*</span><span class="ident">elt</span> <span class="op">=</span> <span class="op">-</span><span class="ident">elt</span>.<span class="ident">clone</span>();
});
<span class="self">self</span>
}
}
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="ident">Neg</span> <span class="kw">for</span> <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">A</span>: <span class="lifetime">'a</span> <span class="op">+</span> <span class="ident">Neg</span><span class="op"><</span><span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>;
<span class="doccomment">/// Perform an elementwise negation of reference `self` and return the</span>
<span class="doccomment">/// result as a new `Array`.</span>
<span class="kw">fn</span> <span class="ident">neg</span>(<span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="self">self</span>.<span class="ident">map</span>(<span class="ident">Neg::neg</span>)
}
}
<span class="kw">impl</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="ident">Not</span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="ident">Not</span><span class="op"><</span><span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataOwned</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span> <span class="op">+</span> <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="self">Self</span>;
<span class="doccomment">/// Perform an elementwise unary not of `self` and return the result.</span>
<span class="kw">fn</span> <span class="ident">not</span>(<span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="self">Self</span> {
<span class="self">self</span>.<span class="ident">unordered_foreach_mut</span>(<span class="op">|</span><span class="ident">elt</span><span class="op">|</span> {
<span class="kw-2">*</span><span class="ident">elt</span> <span class="op">=</span> <span class="op">!</span><span class="ident">elt</span>.<span class="ident">clone</span>();
});
<span class="self">self</span>
}
}
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="ident">Not</span> <span class="kw">for</span> <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">A</span>: <span class="lifetime">'a</span> <span class="op">+</span> <span class="ident">Not</span><span class="op"><</span><span class="ident">Output</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>
{
<span class="kw">type</span> <span class="ident">Output</span> <span class="op">=</span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>;
<span class="doccomment">/// Perform an elementwise unary not of reference `self` and return the</span>
<span class="doccomment">/// result as a new `Array`.</span>
<span class="kw">fn</span> <span class="ident">not</span>(<span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="self">self</span>.<span class="ident">map</span>(<span class="ident">Not::not</span>)
}
}
}
<span class="kw">mod</span> <span class="ident">assign_ops</span> {
<span class="kw">use</span> <span class="kw">super</span>::<span class="kw-2">*</span>;
<span class="kw">use</span> <span class="ident">imp_prelude</span>::<span class="kw-2">*</span>;
<span class="macro">macro_rules!</span> <span class="ident">impl_assign_op</span> {
(<span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">method</span>:<span class="ident">ident</span>, <span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>:<span class="ident">expr</span>) <span class="op">=</span><span class="op">></span> {
<span class="kw">use</span> <span class="ident">std::ops</span>::<span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span>;
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="doccomment">/// If their shapes disagree, `rhs` is broadcast to the shape of `self`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if broadcasting isn’t possible.</span>
<span class="kw">impl</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">S2</span>, <span class="ident">D</span>, <span class="ident">E</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span><span class="op">></span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataMut</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S2</span>: <span class="ident">Data</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
{
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">method</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">rhs</span>: <span class="kw-2">&</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S2</span>, <span class="ident">E</span><span class="op">></span>) {
<span class="self">self</span>.<span class="ident">zip_mut_with</span>(<span class="ident">rhs</span>, <span class="op">|</span><span class="ident">x</span>, <span class="ident">y</span><span class="op">|</span> {
<span class="ident">x</span>.<span class="macro-nonterminal">$</span><span class="macro-nonterminal">method</span>(<span class="ident">y</span>.<span class="ident">clone</span>());
});
}
}
<span class="attribute">#[<span class="ident">doc</span><span class="op">=</span><span class="macro-nonterminal">$</span><span class="macro-nonterminal">doc</span>]</span>
<span class="kw">impl</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">S</span>, <span class="ident">D</span><span class="op">></span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">A</span><span class="op">></span> <span class="kw">for</span> <span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">A</span>: <span class="ident">ScalarOperand</span> <span class="op">+</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">trt</span><span class="op"><</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataMut</span><span class="op"><</span><span class="ident">Elem</span><span class="op">=</span><span class="ident">A</span><span class="op">></span>,
<span class="ident">D</span>: <span class="ident">Dimension</span>,
{
<span class="kw">fn</span> <span class="macro-nonterminal">$</span><span class="macro-nonterminal">method</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">rhs</span>: <span class="ident">A</span>) {
<span class="self">self</span>.<span class="ident">unordered_foreach_mut</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">elt</span><span class="op">|</span> {
<span class="ident">elt</span>.<span class="macro-nonterminal">$</span><span class="macro-nonterminal">method</span>(<span class="ident">rhs</span>.<span class="ident">clone</span>());
});
}
}
};
}
<span class="macro">impl_assign_op!</span>(<span class="ident">AddAssign</span>, <span class="ident">add_assign</span>,
<span class="string">"Perform `self += rhs` as elementwise addition (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">SubAssign</span>, <span class="ident">sub_assign</span>,
<span class="string">"Perform `self -= rhs` as elementwise subtraction (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">MulAssign</span>, <span class="ident">mul_assign</span>,
<span class="string">"Perform `self *= rhs` as elementwise multiplication (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">DivAssign</span>, <span class="ident">div_assign</span>,
<span class="string">"Perform `self /= rhs` as elementwise division (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">RemAssign</span>, <span class="ident">rem_assign</span>,
<span class="string">"Perform `self %= rhs` as elementwise remainder (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">BitAndAssign</span>, <span class="ident">bitand_assign</span>,
<span class="string">"Perform `self &= rhs` as elementwise bit and (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">BitOrAssign</span>, <span class="ident">bitor_assign</span>,
<span class="string">"Perform `self |= rhs` as elementwise bit or (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">BitXorAssign</span>, <span class="ident">bitxor_assign</span>,
<span class="string">"Perform `self ^= rhs` as elementwise bit xor (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">ShlAssign</span>, <span class="ident">shl_assign</span>,
<span class="string">"Perform `self <<= rhs` as elementwise left shift (in place).\n"</span>);
<span class="macro">impl_assign_op!</span>(<span class="ident">ShrAssign</span>, <span class="ident">shr_assign</span>,
<span class="string">"Perform `self >>= rhs` as elementwise right shift (in place).\n"</span>);
}
</pre></div>
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