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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">std::cmp</span>;
<span class="kw">use</span> <span class="ident">std::ptr</span> <span class="kw">as</span> <span class="ident">std_ptr</span>;
<span class="kw">use</span> <span class="ident">std::slice</span>;
<span class="kw">use</span> <span class="ident">itertools::zip</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">arraytraits</span>;
<span class="kw">use</span> <span class="ident">dimension</span>;
<span class="kw">use</span> <span class="ident">iterators</span>;
<span class="kw">use</span> <span class="ident">error</span>::{<span class="self">self</span>, <span class="ident">ShapeError</span>, <span class="ident">ErrorKind</span>};
<span class="kw">use</span> <span class="ident">dimension::IntoDimension</span>;
<span class="kw">use</span> <span class="ident">dimension</span>::{<span class="ident">axes_of</span>, <span class="ident">Axes</span>, <span class="ident">merge_axes</span>, <span class="ident">stride_offset</span>};
<span class="kw">use</span> <span class="ident">iterators</span>::{
<span class="ident">new_lanes</span>,
<span class="ident">new_lanes_mut</span>,
<span class="ident">exact_chunks_of</span>,
<span class="ident">exact_chunks_mut_of</span>,
<span class="ident">windows</span>
};
<span class="kw">use</span> <span class="ident">zip::Zip</span>;
<span class="kw">use</span> {
<span class="ident">NdIndex</span>,
};
<span class="kw">use</span> <span class="ident">iter</span>::{
<span class="ident">AxisChunksIter</span>,
<span class="ident">AxisChunksIterMut</span>,
<span class="ident">Iter</span>,
<span class="ident">IterMut</span>,
<span class="ident">IndexedIter</span>,
<span class="ident">IndexedIterMut</span>,
<span class="ident">Lanes</span>,
<span class="ident">LanesMut</span>,
<span class="ident">AxisIter</span>,
<span class="ident">AxisIterMut</span>,
<span class="ident">ExactChunks</span>,
<span class="ident">ExactChunksMut</span>,
<span class="ident">Windows</span>
};
<span class="kw">use</span> <span class="ident">stacking::stack</span>;
<span class="doccomment">/// # Methods For All Array Types</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">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">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="doccomment">/// Return the total number of elements in the array.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">len</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">usize</span> {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">size</span>()
}
<span class="doccomment">/// Return the length of `axis`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The axis should be in the range `Axis(` 0 .. *n* `)` where *n* is the</span>
<span class="doccomment">/// number of dimensions (axes) of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Panics*** if the axis is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">len_of</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>) <span class="op">-</span><span class="op">></span> <span class="ident">usize</span> {
<span class="self">self</span>.<span class="ident">dim</span>[<span class="ident">axis</span>.<span class="ident">index</span>()]
}
<span class="doccomment">/// Return whether the array has any elements</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">is_empty</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">bool</span> {
<span class="self">self</span>.<span class="ident">len</span>() <span class="op">=</span><span class="op">=</span> <span class="number">0</span>
}
<span class="doccomment">/// Return the number of dimensions (axes) in the array</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">ndim</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">usize</span> {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">ndim</span>()
}
<span class="doccomment">/// Return the shape of the array in its “pattern” form,</span>
<span class="doccomment">/// an integer in the one-dimensional case, tuple in the n-dimensional cases</span>
<span class="doccomment">/// and so on.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">dim</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">D::Pattern</span> {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>().<span class="ident">into_pattern</span>()
}
<span class="doccomment">/// Return the shape of the array as it stored in the array.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">raw_dim</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">D</span> {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>()
}
<span class="doccomment">/// Return the shape of the array as a slice.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">shape</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">&</span>[<span class="ident">Ix</span>] {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">slice</span>()
}
<span class="doccomment">/// Return the strides of the array as a slice</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">strides</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">&</span>[<span class="ident">Ixs</span>] {
<span class="kw">let</span> <span class="ident">s</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">slice</span>();
<span class="comment">// reinterpret unsigned integer as signed</span>
<span class="kw">unsafe</span> {
<span class="ident">slice::from_raw_parts</span>(<span class="ident">s</span>.<span class="ident">as_ptr</span>() <span class="kw">as</span> <span class="kw-2">*</span><span class="kw">const</span> <span class="kw">_</span>, <span class="ident">s</span>.<span class="ident">len</span>())
}
}
<span class="doccomment">/// Return a read-only view of the array</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">view</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayView</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">pointer_is_inbounds</span>());
<span class="kw">unsafe</span> {
<span class="ident">ArrayView::new_</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>(), <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">clone</span>())
}
}
<span class="doccomment">/// Return a read-write view of the array</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">view_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayViewMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
{
<span class="self">self</span>.<span class="ident">ensure_unique</span>();
<span class="kw">unsafe</span> {
<span class="ident">ArrayViewMut::new_</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>(), <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">clone</span>())
}
}
<span class="doccomment">/// Return an uniquely owned copy of the array</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">to_owned</span>(<span class="kw-2">&</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="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span>
{
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">slc</span>) <span class="op">=</span> <span class="self">self</span>.<span class="ident">as_slice_memory_order</span>() {
<span class="kw">unsafe</span> {
<span class="ident">Array::from_shape_vec_unchecked</span>(<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>()
.<span class="ident">strides</span>(<span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">clone</span>()),
<span class="ident">slc</span>.<span class="ident">to_vec</span>())
}
} <span class="kw">else</span> {
<span class="self">self</span>.<span class="ident">map</span>(<span class="op">|</span><span class="ident">x</span><span class="op">|</span> <span class="ident">x</span>.<span class="ident">clone</span>())
}
}
<span class="doccomment">/// Return a shared ownership (copy on write) array.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">to_shared</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">RcArray</span><span class="op"><</span><span class="ident">A</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="comment">// FIXME: Avoid copying if it’s already an RcArray.</span>
<span class="self">self</span>.<span class="ident">to_owned</span>().<span class="ident">into_shared</span>()
}
<span class="doccomment">/// Turn the array into a uniquely owned array, cloning the array elements</span>
<span class="doccomment">/// to unshare them if necessary.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_owned</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="kw">where</span> <span class="ident">A</span>: <span class="ident">Clone</span>,
<span class="ident">S</span>: <span class="ident">DataOwned</span>,
{
<span class="ident">S::into_owned</span>(<span class="self">self</span>)
}
<span class="doccomment">/// Turn the array into a shared ownership (copy on write) array,</span>
<span class="doccomment">/// without any copying.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_shared</span>(<span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">RcArray</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataOwned</span>,
{
<span class="kw">let</span> <span class="ident">data</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">data</span>.<span class="ident">into_shared</span>();
<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">dim</span>: <span class="self">self</span>.<span class="ident">dim</span>,
<span class="ident">strides</span>: <span class="self">self</span>.<span class="ident">strides</span>,
}
}
<span class="doccomment">/// Return an iterator of references to the elements of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in the *logical order* of the array, which</span>
<span class="doccomment">/// is where the rightmost index is varying the fastest.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element type is `&A`.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">iter</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Iter</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">pointer_is_inbounds</span>());
<span class="self">self</span>.<span class="ident">view</span>().<span class="ident">into_iter_</span>()
}
<span class="doccomment">/// Return an iterator of mutable references to the elements of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in the *logical order* of the array, which</span>
<span class="doccomment">/// is where the rightmost index is varying the fastest.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element type is `&mut A`.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">iter_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">IterMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
{
<span class="self">self</span>.<span class="ident">view_mut</span>().<span class="ident">into_iter_</span>()
}
<span class="doccomment">/// Return an iterator of indexes and references to the elements of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in the *logical order* of the array, which</span>
<span class="doccomment">/// is where the rightmost index is varying the fastest.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element type is `(D::Pattern, &A)`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See also [`Zip::indexed`](struct.Zip.html)</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">indexed_iter</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">IndexedIter</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="ident">IndexedIter::new</span>(<span class="self">self</span>.<span class="ident">view</span>().<span class="ident">into_elements_base</span>())
}
<span class="doccomment">/// Return an iterator of indexes and mutable references to the elements of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in the *logical order* of the array, which</span>
<span class="doccomment">/// is where the rightmost index is varying the fastest.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element type is `(D::Pattern, &mut A)`.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">indexed_iter_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">IndexedIterMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
{
<span class="ident">IndexedIterMut::new</span>(<span class="self">self</span>.<span class="ident">view_mut</span>().<span class="ident">into_elements_base</span>())
}
<span class="doccomment">/// Return a sliced array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See [*Slicing*](#slicing) for full documentation.</span>
<span class="doccomment">/// See also [`D::SliceArg`].</span>
<span class="doccomment">///</span>
<span class="doccomment">/// [`D::SliceArg`]: trait.Dimension.html#associatedtype.SliceArg</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if an index is out of bounds or stride is zero.<br></span>
<span class="doccomment">/// (**Panics** if `D` is `IxDyn` and `indexes` does not match the number of array axes.)</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">slice</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">indexes</span>: <span class="kw-2">&</span><span class="ident">D::SliceArg</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayView</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">arr</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">view</span>();
<span class="ident">arr</span>.<span class="ident">islice</span>(<span class="ident">indexes</span>);
<span class="ident">arr</span>
}
<span class="doccomment">/// Return a sliced read-write view of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See also [`D::SliceArg`].</span>
<span class="doccomment">///</span>
<span class="doccomment">/// [`D::SliceArg`]: trait.Dimension.html#associatedtype.SliceArg</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if an index is out of bounds or stride is zero.<br></span>
<span class="doccomment">/// (**Panics** if `D` is `IxDyn` and `indexes` does not match the number of array axes.)</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">slice_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">indexes</span>: <span class="kw-2">&</span><span class="ident">D::SliceArg</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayViewMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">arr</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">view_mut</span>();
<span class="ident">arr</span>.<span class="ident">islice</span>(<span class="ident">indexes</span>);
<span class="ident">arr</span>
}
<span class="doccomment">/// Slice the array’s view in place.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See also [`D::SliceArg`].</span>
<span class="doccomment">///</span>
<span class="doccomment">/// [`D::SliceArg`]: trait.Dimension.html#associatedtype.SliceArg</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if an index is out of bounds or stride is zero.<br></span>
<span class="doccomment">/// (**Panics** if `D` is `IxDyn` and `indexes` does not match the number of array axes.)</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">islice</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">indexes</span>: <span class="kw-2">&</span><span class="ident">D::SliceArg</span>) {
<span class="kw">let</span> <span class="ident">offset</span> <span class="op">=</span> <span class="ident">D::do_slices</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>.<span class="ident">strides</span>, <span class="ident">indexes</span>);
<span class="kw">unsafe</span> {
<span class="self">self</span>.<span class="ident">ptr</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">offset</span>);
}
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">pointer_is_inbounds</span>());
}
<span class="doccomment">/// Return a reference to the element at `index`, or return `None`</span>
<span class="doccomment">/// if the index is out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Arrays also support indexing syntax: `array[index]`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::arr2;</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = arr2(&[[1., 2.],</span>
<span class="doccomment">/// [3., 4.]]);</span>
<span class="doccomment">///</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a.get((0, 1)) == Some(&2.) &&</span>
<span class="doccomment">/// a.get((0, 2)) == None &&</span>
<span class="doccomment">/// a[(0, 1)] == 2. &&</span>
<span class="doccomment">/// a[[0, 1]] == 2.</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">get</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">index</span>: <span class="ident">I</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">&</span><span class="ident">A</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="kw">unsafe</span> {
<span class="self">self</span>.<span class="ident">get_ptr</span>(<span class="ident">index</span>).<span class="ident">map</span>(<span class="op">|</span><span class="ident">ptr</span><span class="op">|</span> <span class="kw-2">&</span><span class="kw-2">*</span><span class="ident">ptr</span>)
}
}
<span class="kw">pub</span>(<span class="kw">crate</span>) <span class="kw">fn</span> <span class="ident">get_ptr</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">index</span>: <span class="ident">I</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">*</span><span class="kw">const</span> <span class="ident">A</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="kw">let</span> <span class="ident">ptr</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">ptr</span>;
<span class="ident">index</span>.<span class="ident">index_checked</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>)
.<span class="ident">map</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">offset</span><span class="op">|</span> <span class="kw">unsafe</span> { <span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">offset</span>) <span class="kw">as</span> <span class="kw-2">*</span><span class="kw">const</span> <span class="kw">_</span> })
}
<span class="doccomment">/// Return a mutable reference to the element at `index`, or return `None`</span>
<span class="doccomment">/// if the index is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">get_mut</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">index</span>: <span class="ident">I</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="kw">unsafe</span> {
<span class="self">self</span>.<span class="ident">get_ptr_mut</span>(<span class="ident">index</span>).<span class="ident">map</span>(<span class="op">|</span><span class="ident">ptr</span><span class="op">|</span> <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="kw-2">*</span><span class="ident">ptr</span>)
}
}
<span class="kw">pub</span>(<span class="kw">crate</span>) <span class="kw">fn</span> <span class="ident">get_ptr_mut</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">index</span>: <span class="ident">I</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">*</span><span class="kw-2">mut</span> <span class="ident">A</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="comment">// const and mut are separate to enforce &mutness as well as the</span>
<span class="comment">// extra code in as_mut_ptr</span>
<span class="kw">let</span> <span class="ident">ptr</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">as_mut_ptr</span>();
<span class="ident">index</span>.<span class="ident">index_checked</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>)
.<span class="ident">map</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">offset</span><span class="op">|</span> <span class="kw">unsafe</span> { <span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">offset</span>) })
}
<span class="doccomment">/// Perform *unchecked* array indexing.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return a reference to the element at `index`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Note:** only unchecked for non-debug builds of ndarray.</span>
<span class="attribute">#[<span class="ident">inline</span>]</span>
<span class="kw">pub</span> <span class="kw">unsafe</span> <span class="kw">fn</span> <span class="ident">uget</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">index</span>: <span class="ident">I</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">&</span><span class="ident">A</span>
<span class="kw">where</span> <span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="ident">arraytraits::debug_bounds_check</span>(<span class="self">self</span>, <span class="kw-2">&</span><span class="ident">index</span>);
<span class="kw">let</span> <span class="ident">off</span> <span class="op">=</span> <span class="ident">index</span>.<span class="ident">index_unchecked</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>);
<span class="kw-2">&</span><span class="kw-2">*</span><span class="self">self</span>.<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">off</span>)
}
<span class="doccomment">/// Perform *unchecked* array indexing.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return a mutable reference to the element at `index`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Note:** Only unchecked for non-debug builds of ndarray.<br></span>
<span class="doccomment">/// **Note:** (For `RcArray`) The array must be uniquely held when mutating it.</span>
<span class="attribute">#[<span class="ident">inline</span>]</span>
<span class="kw">pub</span> <span class="kw">unsafe</span> <span class="kw">fn</span> <span class="ident">uget_mut</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">index</span>: <span class="ident">I</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">data</span>.<span class="ident">is_unique</span>());
<span class="ident">arraytraits::debug_bounds_check</span>(<span class="self">self</span>, <span class="kw-2">&</span><span class="ident">index</span>);
<span class="kw">let</span> <span class="ident">off</span> <span class="op">=</span> <span class="ident">index</span>.<span class="ident">index_unchecked</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>);
<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="kw-2">*</span><span class="self">self</span>.<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">off</span>)
}
<span class="doccomment">/// Swap elements at indices `index1` and `index2`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Indices may be equal.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Panics*** if an index is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">swap</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">index1</span>: <span class="ident">I</span>, <span class="ident">index2</span>: <span class="ident">I</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="kw">let</span> <span class="ident">ptr1</span>: <span class="kw-2">*</span><span class="kw-2">mut</span> <span class="kw">_</span> <span class="op">=</span> <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>[<span class="ident">index1</span>];
<span class="kw">let</span> <span class="ident">ptr2</span>: <span class="kw-2">*</span><span class="kw-2">mut</span> <span class="kw">_</span> <span class="op">=</span> <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>[<span class="ident">index2</span>];
<span class="kw">unsafe</span> {
<span class="ident">std_ptr::swap</span>(<span class="ident">ptr1</span>, <span class="ident">ptr2</span>);
}
}
<span class="doccomment">/// Swap elements *unchecked* at indices `index1` and `index2`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Indices may be equal.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Note:** only unchecked for non-debug builds of ndarray.<br></span>
<span class="doccomment">/// **Note:** (For `RcArray`) The array must be uniquely held.</span>
<span class="kw">pub</span> <span class="kw">unsafe</span> <span class="kw">fn</span> <span class="ident">uswap</span><span class="op"><</span><span class="ident">I</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">index1</span>: <span class="ident">I</span>, <span class="ident">index2</span>: <span class="ident">I</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">I</span>: <span class="ident">NdIndex</span><span class="op"><</span><span class="ident">D</span><span class="op">></span>,
{
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">data</span>.<span class="ident">is_unique</span>());
<span class="ident">arraytraits::debug_bounds_check</span>(<span class="self">self</span>, <span class="kw-2">&</span><span class="ident">index1</span>);
<span class="ident">arraytraits::debug_bounds_check</span>(<span class="self">self</span>, <span class="kw-2">&</span><span class="ident">index2</span>);
<span class="kw">let</span> <span class="ident">off1</span> <span class="op">=</span> <span class="ident">index1</span>.<span class="ident">index_unchecked</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>);
<span class="kw">let</span> <span class="ident">off2</span> <span class="op">=</span> <span class="ident">index2</span>.<span class="ident">index_unchecked</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>);
<span class="ident">std_ptr::swap</span>(<span class="self">self</span>.<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">off1</span>), <span class="self">self</span>.<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">off2</span>));
}
<span class="comment">// `get` for zero-dimensional arrays</span>
<span class="comment">// panics if dimension is not zero. otherwise an element is always present.</span>
<span class="kw">fn</span> <span class="ident">get_0d</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">&</span><span class="ident">A</span> {
<span class="macro">assert!</span>(<span class="self">self</span>.<span class="ident">ndim</span>() <span class="op">=</span><span class="op">=</span> <span class="number">0</span>);
<span class="kw">unsafe</span> {
<span class="kw-2">&</span><span class="kw-2">*</span><span class="self">self</span>.<span class="ident">as_ptr</span>()
}
}
<span class="doccomment">/// Along `axis`, select the subview `index` and return a</span>
<span class="doccomment">/// view with that axis removed.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See [*Subviews*](#subviews) for full documentation.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` or `index` is out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr2, ArrayView, Axis};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = arr2(&[[1., 2. ], // ... axis 0, row 0</span>
<span class="doccomment">/// [3., 4. ], // --- axis 0, row 1</span>
<span class="doccomment">/// [5., 6. ]]); // ... axis 0, row 2</span>
<span class="doccomment">/// // . \</span>
<span class="doccomment">/// // . axis 1, column 1</span>
<span class="doccomment">/// // axis 1, column 0</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a.subview(Axis(0), 1) == ArrayView::from(&[3., 4.]) &&</span>
<span class="doccomment">/// a.subview(Axis(1), 1) == ArrayView::from(&[2., 4., 6.])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">subview</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">index</span>: <span class="ident">Ix</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayView</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="self">self</span>.<span class="ident">view</span>().<span class="ident">into_subview</span>(<span class="ident">axis</span>, <span class="ident">index</span>)
}
<span class="doccomment">/// Along `axis`, select the subview `index` and return a read-write view</span>
<span class="doccomment">/// with the axis removed.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` or `index` is out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr2, aview2, Axis};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let mut a = arr2(&[[1., 2. ],</span>
<span class="doccomment">/// [3., 4. ]]);</span>
<span class="doccomment">/// // . \</span>
<span class="doccomment">/// // . axis 1, column 1</span>
<span class="doccomment">/// // axis 1, column 0</span>
<span class="doccomment">///</span>
<span class="doccomment">/// {</span>
<span class="doccomment">/// let mut column1 = a.subview_mut(Axis(1), 1);</span>
<span class="doccomment">/// column1 += 10.;</span>
<span class="doccomment">/// }</span>
<span class="doccomment">///</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a == aview2(&[[1., 12.],</span>
<span class="doccomment">/// [3., 14.]])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">subview_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">index</span>: <span class="ident">Ix</span>)
<span class="op">-</span><span class="op">></span> <span class="ident">ArrayViewMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="self">self</span>.<span class="ident">view_mut</span>().<span class="ident">into_subview</span>(<span class="ident">axis</span>, <span class="ident">index</span>)
}
<span class="doccomment">/// Collapse dimension `axis` into length one,</span>
<span class="doccomment">/// and select the subview of `index` along that axis.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `index` is past the length of the axis.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">isubview</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">index</span>: <span class="ident">Ix</span>) {
<span class="ident">dimension::do_sub</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>.<span class="ident">ptr</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>,
<span class="ident">axis</span>.<span class="ident">index</span>(), <span class="ident">index</span>)
}
<span class="doccomment">/// Along `axis`, select the subview `index` and return `self`</span>
<span class="doccomment">/// with that axis removed.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See [`.subview()`](#method.subview) and [*Subviews*](#subviews) for full documentation.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_subview</span>(<span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">index</span>: <span class="ident">Ix</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::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="self">self</span>.<span class="ident">isubview</span>(<span class="ident">axis</span>, <span class="ident">index</span>);
<span class="self">self</span>.<span class="ident">remove_axis</span>(<span class="ident">axis</span>)
}
<span class="doccomment">/// Along `axis`, select arbitrary subviews corresponding to `indices`</span>
<span class="doccomment">/// and and copy them into a new array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` or an element of `indices` is out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr2, Axis};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let x = arr2(&[[0., 1.],</span>
<span class="doccomment">/// [2., 3.],</span>
<span class="doccomment">/// [4., 5.],</span>
<span class="doccomment">/// [6., 7.],</span>
<span class="doccomment">/// [8., 9.]]);</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let r = x.select(Axis(0), &[0, 4, 3]);</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// r == arr2(&[[0., 1.],</span>
<span class="doccomment">/// [8., 9.],</span>
<span class="doccomment">/// [6., 7.]])</span>
<span class="doccomment">///);</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">select</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">indices</span>: <span class="kw-2">&</span>[<span class="ident">Ix</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="kw">where</span> <span class="ident">A</span>: <span class="ident">Copy</span>,
<span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">subs</span> <span class="op">=</span> <span class="macro">vec!</span>[<span class="self">self</span>.<span class="ident">view</span>(); <span class="ident">indices</span>.<span class="ident">len</span>()];
<span class="kw">for</span> (<span class="kw-2">&</span><span class="ident">i</span>, <span class="ident">sub</span>) <span class="kw">in</span> <span class="ident">zip</span>(<span class="ident">indices</span>, <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">subs</span>[..]) {
<span class="ident">sub</span>.<span class="ident">isubview</span>(<span class="ident">axis</span>, <span class="ident">i</span>);
}
<span class="kw">if</span> <span class="ident">subs</span>.<span class="ident">is_empty</span>() {
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">dim</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">raw_dim</span>();
<span class="ident">dim</span>.<span class="ident">set_axis</span>(<span class="ident">axis</span>, <span class="number">0</span>);
<span class="kw">unsafe</span> {
<span class="ident">Array::from_shape_vec_unchecked</span>(<span class="ident">dim</span>, <span class="macro">vec!</span>[])
}
} <span class="kw">else</span> {
<span class="ident">stack</span>(<span class="ident">axis</span>, <span class="kw-2">&</span><span class="ident">subs</span>).<span class="ident">unwrap</span>()
}
}
<span class="doccomment">/// Return a producer and iterable that traverses over the *generalized*</span>
<span class="doccomment">/// rows of the array. For a 2D array these are the regular rows.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This is equivalent to `.lanes(Axis(n - 1))` where *n* is `self.ndim()`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For an array of dimensions *a* × *b* × *c* × ... × *l* × *m*</span>
<span class="doccomment">/// it has *a* × *b* × *c* × ... × *l* rows each of length *m*.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For example, in a 2 × 2 × 3 array, each row is 3 elements long</span>
<span class="doccomment">/// and there are 2 × 2 = 4 rows in total.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView1<A>` (1D array view).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr3, Axis, arr1};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = arr3(&[[[ 0, 1, 2], // -- row 0, 0</span>
<span class="doccomment">/// [ 3, 4, 5]], // -- row 0, 1</span>
<span class="doccomment">/// [[ 6, 7, 8], // -- row 1, 0</span>
<span class="doccomment">/// [ 9, 10, 11]]]); // -- row 1, 1</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // `genrows` will yield the four generalized rows of the array.</span>
<span class="doccomment">/// for row in a.genrows() {</span>
<span class="doccomment">/// /* loop body */</span>
<span class="doccomment">/// }</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">genrows</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Lanes</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span> {
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">n</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">ndim</span>();
<span class="kw">if</span> <span class="ident">n</span> <span class="op">=</span><span class="op">=</span> <span class="number">0</span> { <span class="ident">n</span> <span class="op">+</span><span class="op">=</span> <span class="number">1</span>; }
<span class="ident">new_lanes</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">Axis</span>(<span class="ident">n</span> <span class="op">-</span> <span class="number">1</span>))
}
<span class="doccomment">/// Return a producer and iterable that traverses over the *generalized*</span>
<span class="doccomment">/// rows of the array and yields mutable array views.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView1<A>` (1D read-write array view).</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">genrows_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">LanesMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">n</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">ndim</span>();
<span class="kw">if</span> <span class="ident">n</span> <span class="op">=</span><span class="op">=</span> <span class="number">0</span> { <span class="ident">n</span> <span class="op">+</span><span class="op">=</span> <span class="number">1</span>; }
<span class="ident">new_lanes_mut</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">Axis</span>(<span class="ident">n</span> <span class="op">-</span> <span class="number">1</span>))
}
<span class="doccomment">/// Return a producer and iterable that traverses over the *generalized*</span>
<span class="doccomment">/// columns of the array. For a 2D array these are the regular columns.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This is equivalent to `.lanes(Axis(0))`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For an array of dimensions *a* × *b* × *c* × ... × *l* × *m*</span>
<span class="doccomment">/// it has *b* × *c* × ... × *l* × *m* columns each of length *a*.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For example, in a 2 × 2 × 3 array, each column is 2 elements long</span>
<span class="doccomment">/// and there are 2 × 3 = 6 columns in total.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView1<A>` (1D array view).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr3, Axis, arr1};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // The generalized columns of a 3D array:</span>
<span class="doccomment">/// // are directed along the 0th axis: 0 and 6, 1 and 7 and so on...</span>
<span class="doccomment">/// let a = arr3(&[[[ 0, 1, 2], [ 3, 4, 5]],</span>
<span class="doccomment">/// [[ 6, 7, 8], [ 9, 10, 11]]]);</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // Here `gencolumns` will yield the six generalized columns of the array.</span>
<span class="doccomment">/// for row in a.gencolumns() {</span>
<span class="doccomment">/// /* loop body */</span>
<span class="doccomment">/// }</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">gencolumns</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Lanes</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span> {
<span class="ident">new_lanes</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">Axis</span>(<span class="number">0</span>))
}
<span class="doccomment">/// Return a producer and iterable that traverses over the *generalized*</span>
<span class="doccomment">/// columns of the array and yields mutable array views.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView1<A>` (1D read-write array view).</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">gencolumns_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">LanesMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="ident">new_lanes_mut</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">Axis</span>(<span class="number">0</span>))
}
<span class="doccomment">/// Return a producer and iterable that traverses over all 1D lanes</span>
<span class="doccomment">/// pointing in the direction of `axis`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// When the pointing in the direction of the first axis, they are *columns*,</span>
<span class="doccomment">/// in the direction of the last axis *rows*; in general they are all</span>
<span class="doccomment">/// *lanes* and are one dimensional.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView1<A>` (1D array view).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr3, aview1, Axis};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = arr3(&[[[ 0, 1, 2],</span>
<span class="doccomment">/// [ 3, 4, 5]],</span>
<span class="doccomment">/// [[ 6, 7, 8],</span>
<span class="doccomment">/// [ 9, 10, 11]]]);</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let inner0 = a.lanes(Axis(0));</span>
<span class="doccomment">/// let inner1 = a.lanes(Axis(1));</span>
<span class="doccomment">/// let inner2 = a.lanes(Axis(2));</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // The first lane for axis 0 is [0, 6]</span>
<span class="doccomment">/// assert_eq!(inner0.into_iter().next().unwrap(), aview1(&[0, 6]));</span>
<span class="doccomment">/// // The first lane for axis 1 is [0, 3]</span>
<span class="doccomment">/// assert_eq!(inner1.into_iter().next().unwrap(), aview1(&[0, 3]));</span>
<span class="doccomment">/// // The first lane for axis 2 is [0, 1, 2]</span>
<span class="doccomment">/// assert_eq!(inner2.into_iter().next().unwrap(), aview1(&[0, 1, 2]));</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">lanes</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Lanes</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span> {
<span class="ident">new_lanes</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">axis</span>)
}
<span class="doccomment">/// Return a producer and iterable that traverses over all 1D lanes</span>
<span class="doccomment">/// pointing in the direction of `axis`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayViewMut1<A>` (1D read-write array view).</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">lanes_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>) <span class="op">-</span><span class="op">></span> <span class="ident">LanesMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="ident">new_lanes_mut</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">axis</span>)
}
<span class="doccomment">/// Return an iterator that traverses over the outermost dimension</span>
<span class="doccomment">/// and yields each subview.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This is equivalent to `.axis_iter(Axis(0))`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView<A, D::Smaller>` (read-only array view).</span>
<span class="attribute">#[<span class="ident">allow</span>(<span class="ident">deprecated</span>)]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">outer_iter</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">AxisIter</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="self">self</span>.<span class="ident">view</span>().<span class="ident">into_outer_iter</span>()
}
<span class="doccomment">/// Return an iterator that traverses over the outermost dimension</span>
<span class="doccomment">/// and yields each subview.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This is equivalent to `.axis_iter_mut(Axis(0))`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayViewMut<A, D::Smaller>` (read-write array view).</span>
<span class="attribute">#[<span class="ident">allow</span>(<span class="ident">deprecated</span>)]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">outer_iter_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">AxisIterMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="self">self</span>.<span class="ident">view_mut</span>().<span class="ident">into_outer_iter</span>()
}
<span class="doccomment">/// Return an iterator that traverses over `axis`</span>
<span class="doccomment">/// and yields each subview along it.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For example, in a 3 × 4 × 5 array, with `axis` equal to `Axis(2)`,</span>
<span class="doccomment">/// the iterator element</span>
<span class="doccomment">/// is a 3 × 4 subview (and there are 5 in total), as shown</span>
<span class="doccomment">/// in the picture below.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView<A, D::Smaller>` (read-only array view).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See [*Subviews*](#subviews) for full documentation.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` is out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// <img src="https://bluss.github.io/ndarray/images/axis_iter_3_4_5.svg" height="250px"></span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">axis_iter</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>) <span class="op">-</span><span class="op">></span> <span class="ident">AxisIter</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="ident">iterators::new_axis_iter</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">axis</span>.<span class="ident">index</span>())
}
<span class="doccomment">/// Return an iterator that traverses over `axis`</span>
<span class="doccomment">/// and yields each mutable subview along it.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayViewMut<A, D::Smaller>`</span>
<span class="doccomment">/// (read-write array view).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">axis_iter_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>) <span class="op">-</span><span class="op">></span> <span class="ident">AxisIterMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="ident">iterators::new_axis_iter_mut</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">axis</span>.<span class="ident">index</span>())
}
<span class="doccomment">/// Return an iterator that traverses over `axis` by chunks of `size`,</span>
<span class="doccomment">/// yielding non-overlapping views along that axis.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayView<A, D>`</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The last view may have less elements if `size` does not divide</span>
<span class="doccomment">/// the axis' dimension.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` is out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::Array;</span>
<span class="doccomment">/// use ndarray::{arr3, Axis};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = Array::from_iter(0..28).into_shape((2, 7, 2)).unwrap();</span>
<span class="doccomment">/// let mut iter = a.axis_chunks_iter(Axis(1), 2);</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // first iteration yields a 2 × 2 × 2 view</span>
<span class="doccomment">/// assert_eq!(iter.next().unwrap(),</span>
<span class="doccomment">/// arr3(&[[[ 0, 1], [ 2, 3]],</span>
<span class="doccomment">/// [[14, 15], [16, 17]]]));</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // however the last element is a 2 × 1 × 2 view since 7 % 2 == 1</span>
<span class="doccomment">/// assert_eq!(iter.next_back().unwrap(), arr3(&[[[12, 13]],</span>
<span class="doccomment">/// [[26, 27]]]));</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">axis_chunks_iter</span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">size</span>: <span class="ident">usize</span>) <span class="op">-</span><span class="op">></span> <span class="ident">AxisChunksIter</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span> {
<span class="ident">iterators::new_chunk_iter</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">axis</span>.<span class="ident">index</span>(), <span class="ident">size</span>)
}
<span class="doccomment">/// Return an iterator that traverses over `axis` by chunks of `size`,</span>
<span class="doccomment">/// yielding non-overlapping read-write views along that axis.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Iterator element is `ArrayViewMut<A, D>`</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">axis_chunks_iter_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">size</span>: <span class="ident">usize</span>)
<span class="op">-</span><span class="op">></span> <span class="ident">AxisChunksIterMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="ident">iterators::new_chunk_iter_mut</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">axis</span>.<span class="ident">index</span>(), <span class="ident">size</span>)
}
<span class="doccomment">/// Return an exact chunks producer (and iterable).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// It produces the whole chunks of a given n-dimensional chunk size,</span>
<span class="doccomment">/// skipping the remainder along each dimension that doesn't fit evenly.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The produced element is a `ArrayView<A, D>` with exactly the dimension</span>
<span class="doccomment">/// `chunk_size`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if any dimension of `chunk_size` is zero<br></span>
<span class="doccomment">/// (**Panics** if `D` is `IxDyn` and `chunk_size` does not match the</span>
<span class="doccomment">/// number of array axes.)</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">exact_chunks</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">chunk_size</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ExactChunks</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span><span class="op"><</span><span class="ident">Dim</span><span class="op">=</span><span class="ident">D</span><span class="op">></span>,
{
<span class="ident">exact_chunks_of</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">chunk_size</span>)
}
<span class="attribute">#[<span class="ident">doc</span>(<span class="ident">hidden</span>)]</span>
<span class="attribute">#[<span class="ident">deprecated</span>(<span class="ident">note</span><span class="op">=</span><span class="string">"Renamed to exact_chunks"</span>)]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">whole_chunks</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">chunk_size</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ExactChunks</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span><span class="op"><</span><span class="ident">Dim</span><span class="op">=</span><span class="ident">D</span><span class="op">></span>,
{
<span class="self">self</span>.<span class="ident">exact_chunks</span>(<span class="ident">chunk_size</span>)
}
<span class="doccomment">/// Return an exact chunks producer (and iterable).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// It produces the whole chunks of a given n-dimensional chunk size,</span>
<span class="doccomment">/// skipping the remainder along each dimension that doesn't fit evenly.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The produced element is a `ArrayViewMut<A, D>` with exactly</span>
<span class="doccomment">/// the dimension `chunk_size`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if any dimension of `chunk_size` is zero<br></span>
<span class="doccomment">/// (**Panics** if `D` is `IxDyn` and `chunk_size` does not match the</span>
<span class="doccomment">/// number of array axes.)</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```rust</span>
<span class="doccomment">/// use ndarray::Array;</span>
<span class="doccomment">/// use ndarray::arr2;</span>
<span class="doccomment">/// let mut a = Array::zeros((6, 7));</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // Fill each 2 × 2 chunk with the index of where it appeared in iteration</span>
<span class="doccomment">/// for (i, mut chunk) in a.exact_chunks_mut((2, 2)).into_iter().enumerate() {</span>
<span class="doccomment">/// chunk.fill(i);</span>
<span class="doccomment">/// }</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // The resulting array is:</span>
<span class="doccomment">/// assert_eq!(</span>
<span class="doccomment">/// a,</span>
<span class="doccomment">/// arr2(&[[0, 0, 1, 1, 2, 2, 0],</span>
<span class="doccomment">/// [0, 0, 1, 1, 2, 2, 0],</span>
<span class="doccomment">/// [3, 3, 4, 4, 5, 5, 0],</span>
<span class="doccomment">/// [3, 3, 4, 4, 5, 5, 0],</span>
<span class="doccomment">/// [6, 6, 7, 7, 8, 8, 0],</span>
<span class="doccomment">/// [6, 6, 7, 7, 8, 8, 0]]));</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">exact_chunks_mut</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">chunk_size</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ExactChunksMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span><span class="op"><</span><span class="ident">Dim</span><span class="op">=</span><span class="ident">D</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="ident">exact_chunks_mut_of</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">chunk_size</span>)
}
<span class="attribute">#[<span class="ident">doc</span>(<span class="ident">hidden</span>)]</span>
<span class="attribute">#[<span class="ident">deprecated</span>(<span class="ident">note</span><span class="op">=</span><span class="string">"Renamed to exact_chunks_mut"</span>)]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">whole_chunks_mut</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">chunk_size</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ExactChunksMut</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span><span class="op"><</span><span class="ident">Dim</span><span class="op">=</span><span class="ident">D</span><span class="op">></span>,
<span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="self">self</span>.<span class="ident">exact_chunks_mut</span>(<span class="ident">chunk_size</span>)
}
<span class="doccomment">/// Return a window producer and iterable.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The windows are all distinct overlapping views of size `window_size`</span>
<span class="doccomment">/// that fit into the array's shape.</span>
<span class="doccomment">/// </span>
<span class="doccomment">/// Will yield over no elements if window size is larger</span>
<span class="doccomment">/// than the actual array size of any dimension.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The produced element is an `ArrayView<A, D>` with exactly the dimension</span>
<span class="doccomment">/// `window_size`.</span>
<span class="doccomment">/// </span>
<span class="doccomment">/// **Panics** if any dimension of `window_size` is zero.<br></span>
<span class="doccomment">/// (**Panics** if `D` is `IxDyn` and `window_size` does not match the</span>
<span class="doccomment">/// number of array axes.)</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">windows</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">window_size</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Windows</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span><span class="op"><</span><span class="ident">Dim</span><span class="op">=</span><span class="ident">D</span><span class="op">></span>
{
<span class="ident">windows</span>(<span class="self">self</span>.<span class="ident">view</span>(), <span class="ident">window_size</span>)
}
<span class="comment">// Return (length, stride) for diagonal</span>
<span class="kw">fn</span> <span class="ident">diag_params</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> (<span class="ident">Ix</span>, <span class="ident">Ixs</span>) {
<span class="comment">/* empty shape has len 1 */</span>
<span class="kw">let</span> <span class="ident">len</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">slice</span>().<span class="ident">iter</span>().<span class="ident">cloned</span>().<span class="ident">min</span>().<span class="ident">unwrap_or</span>(<span class="number">1</span>);
<span class="kw">let</span> <span class="ident">stride</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">strides</span>()
.<span class="ident">iter</span>()
.<span class="ident">fold</span>(<span class="number">0</span>, <span class="op">|</span><span class="ident">sum</span>, <span class="ident">s</span><span class="op">|</span> <span class="ident">sum</span> <span class="op">+</span> <span class="ident">s</span>);
(<span class="ident">len</span>, <span class="ident">stride</span>)
}
<span class="doccomment">/// Return an view of the diagonal elements of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The diagonal is simply the sequence indexed by *(0, 0, .., 0)*,</span>
<span class="doccomment">/// *(1, 1, ..., 1)* etc as long as all axes have elements.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">diag</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayView1</span><span class="op"><</span><span class="ident">A</span><span class="op">></span> {
<span class="self">self</span>.<span class="ident">view</span>().<span class="ident">into_diag</span>()
}
<span class="doccomment">/// Return a read-write view over the diagonal elements of the array.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">diag_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayViewMut1</span><span class="op"><</span><span class="ident">A</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
{
<span class="self">self</span>.<span class="ident">view_mut</span>().<span class="ident">into_diag</span>()
}
<span class="doccomment">/// Return the diagonal as a one-dimensional array.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_diag</span>(<span class="self">self</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">Ix1</span><span class="op">></span> {
<span class="kw">let</span> (<span class="ident">len</span>, <span class="ident">stride</span>) <span class="op">=</span> <span class="self">self</span>.<span class="ident">diag_params</span>();
<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="self">self</span>.<span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">dim</span>: <span class="ident">Ix1</span>(<span class="ident">len</span>),
<span class="ident">strides</span>: <span class="ident">Ix1</span>(<span class="ident">stride</span> <span class="kw">as</span> <span class="ident">Ix</span>),
}
}
<span class="doccomment">/// Make the array unshared.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This method is mostly only useful with unsafe code.</span>
<span class="kw">fn</span> <span class="ident">ensure_unique</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">pointer_is_inbounds</span>());
<span class="ident">S::ensure_unique</span>(<span class="self">self</span>);
<span class="macro">debug_assert!</span>(<span class="self">self</span>.<span class="ident">pointer_is_inbounds</span>());
}
<span class="doccomment">/// Return `true` if the array data is laid out in contiguous “C order” in</span>
<span class="doccomment">/// memory (where the last index is the most rapidly varying).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return `false` otherwise, i.e the array is possibly not</span>
<span class="doccomment">/// contiguous in memory, it has custom strides, etc.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">is_standard_layout</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">bool</span> {
<span class="kw">fn</span> <span class="ident">is_standard_layout</span><span class="op"><</span><span class="ident">D</span>: <span class="ident">Dimension</span><span class="op">></span>(<span class="ident">dim</span>: <span class="kw-2">&</span><span class="ident">D</span>, <span class="ident">strides</span>: <span class="kw-2">&</span><span class="ident">D</span>) <span class="op">-</span><span class="op">></span> <span class="ident">bool</span> {
<span class="kw">let</span> <span class="ident">defaults</span> <span class="op">=</span> <span class="ident">dim</span>.<span class="ident">default_strides</span>();
<span class="kw">if</span> <span class="ident">strides</span>.<span class="ident">equal</span>(<span class="kw-2">&</span><span class="ident">defaults</span>) {
<span class="kw">return</span> <span class="bool-val">true</span>;
}
<span class="kw">if</span> <span class="ident">dim</span>.<span class="ident">ndim</span>() <span class="op">=</span><span class="op">=</span> <span class="number">1</span> { <span class="kw">return</span> <span class="bool-val">false</span>; }
<span class="comment">// check all dimensions -- a dimension of length 1 can have unequal strides</span>
<span class="kw">for</span> (<span class="kw-2">&</span><span class="ident">dim</span>, <span class="kw-2">&</span><span class="ident">s</span>, <span class="kw-2">&</span><span class="ident">ds</span>) <span class="kw">in</span> <span class="macro">izip!</span>(<span class="ident">dim</span>.<span class="ident">slice</span>(), <span class="ident">strides</span>.<span class="ident">slice</span>(), <span class="ident">defaults</span>.<span class="ident">slice</span>()) {
<span class="kw">if</span> <span class="ident">dim</span> <span class="op">!</span><span class="op">=</span> <span class="number">1</span> <span class="op">&&</span> <span class="ident">s</span> <span class="op">!</span><span class="op">=</span> <span class="ident">ds</span> {
<span class="kw">return</span> <span class="bool-val">false</span>;
}
}
<span class="bool-val">true</span>
}
<span class="ident">is_standard_layout</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>)
}
<span class="kw">fn</span> <span class="ident">is_contiguous</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">bool</span> {
<span class="ident">D::is_contiguous</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>)
}
<span class="doccomment">/// Return a pointer to the first element in the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Raw access to array elements needs to follow the strided indexing</span>
<span class="doccomment">/// scheme: an element at multi-index *I* in an array with strides *S* is</span>
<span class="doccomment">/// located at offset</span>
<span class="doccomment">///</span>
<span class="doccomment">/// *Σ<sub>0 ≤ k < d</sub> I<sub>k</sub> × S<sub>k</sub>*</span>
<span class="doccomment">///</span>
<span class="doccomment">/// where *d* is `self.ndim()`.</span>
<span class="attribute">#[<span class="ident">inline</span>(<span class="ident">always</span>)]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">as_ptr</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">*</span><span class="kw">const</span> <span class="ident">A</span> {
<span class="self">self</span>.<span class="ident">ptr</span>
}
<span class="doccomment">/// Return a mutable pointer to the first element in the array.</span>
<span class="attribute">#[<span class="ident">inline</span>(<span class="ident">always</span>)]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">as_mut_ptr</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="kw-2">*</span><span class="kw-2">mut</span> <span class="ident">A</span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="self">self</span>.<span class="ident">ensure_unique</span>(); <span class="comment">// for RcArray</span>
<span class="self">self</span>.<span class="ident">ptr</span>
}
<span class="doccomment">/// Return the array’s data as a slice, if it is contiguous and in standard order.</span>
<span class="doccomment">/// Return `None` otherwise.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// If this function returns `Some(_)`, then the element order in the slice</span>
<span class="doccomment">/// corresponds to the logical order of the array’s elements.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">as_slice</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">&</span>[<span class="ident">A</span>]<span class="op">></span> {
<span class="kw">if</span> <span class="self">self</span>.<span class="ident">is_standard_layout</span>() {
<span class="kw">unsafe</span> {
<span class="prelude-val">Some</span>(<span class="ident">slice::from_raw_parts</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="self">self</span>.<span class="ident">len</span>()))
}
} <span class="kw">else</span> {
<span class="prelude-val">None</span>
}
}
<span class="doccomment">/// Return the array’s data as a slice, if it is contiguous and in standard order.</span>
<span class="doccomment">/// Return `None` otherwise.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">as_slice_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">&</span><span class="kw-2">mut</span> [<span class="ident">A</span>]<span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="kw">if</span> <span class="self">self</span>.<span class="ident">is_standard_layout</span>() {
<span class="self">self</span>.<span class="ident">ensure_unique</span>();
<span class="kw">unsafe</span> {
<span class="prelude-val">Some</span>(<span class="ident">slice::from_raw_parts_mut</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="self">self</span>.<span class="ident">len</span>()))
}
} <span class="kw">else</span> {
<span class="prelude-val">None</span>
}
}
<span class="doccomment">/// Return the array’s data as a slice if it is contiguous,</span>
<span class="doccomment">/// return `None` otherwise.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// If this function returns `Some(_)`, then the elements in the slice</span>
<span class="doccomment">/// have whatever order the elements have in memory.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Implementation notes: Does not yet support negatively strided arrays.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">as_slice_memory_order</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">&</span>[<span class="ident">A</span>]<span class="op">></span> {
<span class="kw">if</span> <span class="self">self</span>.<span class="ident">is_contiguous</span>() {
<span class="kw">unsafe</span> {
<span class="prelude-val">Some</span>(<span class="ident">slice::from_raw_parts</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="self">self</span>.<span class="ident">len</span>()))
}
} <span class="kw">else</span> {
<span class="prelude-val">None</span>
}
}
<span class="doccomment">/// Return the array’s data as a slice if it is contiguous,</span>
<span class="doccomment">/// return `None` otherwise.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">as_slice_memory_order_mut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="kw-2">&</span><span class="kw-2">mut</span> [<span class="ident">A</span>]<span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>
{
<span class="kw">if</span> <span class="self">self</span>.<span class="ident">is_contiguous</span>() {
<span class="self">self</span>.<span class="ident">ensure_unique</span>();
<span class="kw">unsafe</span> {
<span class="prelude-val">Some</span>(<span class="ident">slice::from_raw_parts_mut</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="self">self</span>.<span class="ident">len</span>()))
}
} <span class="kw">else</span> {
<span class="prelude-val">None</span>
}
}
<span class="doccomment">/// Transform the array into `shape`; any shape with the same number of</span>
<span class="doccomment">/// elements is accepted, but the source array or view must be</span>
<span class="doccomment">/// contiguous, otherwise we cannot rearrange the dimension.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Errors** if the shapes don't have the same number of elements.<br></span>
<span class="doccomment">/// **Errors** if the input array is not c- or f-contiguous.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{aview1, aview2};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// aview1(&[1., 2., 3., 4.]).into_shape((2, 2)).unwrap()</span>
<span class="doccomment">/// == aview2(&[[1., 2.],</span>
<span class="doccomment">/// [3., 4.]])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_shape</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="self">self</span>, <span class="ident">shape</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Result</span><span class="op"><</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">E::Dim</span><span class="op">></span>, <span class="ident">ShapeError</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span>,
{
<span class="kw">let</span> <span class="ident">shape</span> <span class="op">=</span> <span class="ident">shape</span>.<span class="ident">into_dimension</span>();
<span class="kw">if</span> <span class="ident">shape</span>.<span class="ident">size_checked</span>() <span class="op">!</span><span class="op">=</span> <span class="prelude-val">Some</span>(<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">size</span>()) {
<span class="kw">return</span> <span class="prelude-val">Err</span>(<span class="ident">error::incompatible_shapes</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="ident">shape</span>));
}
<span class="comment">// Check if contiguous, if not => copy all, else just adapt strides</span>
<span class="kw">if</span> <span class="self">self</span>.<span class="ident">is_standard_layout</span>() {
<span class="prelude-val">Ok</span>(<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="self">self</span>.<span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">strides</span>: <span class="ident">shape</span>.<span class="ident">default_strides</span>(),
<span class="ident">dim</span>: <span class="ident">shape</span>,
})
} <span class="kw">else</span> <span class="kw">if</span> <span class="self">self</span>.<span class="ident">ndim</span>() <span class="op">></span> <span class="number">1</span> <span class="op">&&</span> <span class="self">self</span>.<span class="ident">view</span>().<span class="ident">reversed_axes</span>().<span class="ident">is_standard_layout</span>() {
<span class="prelude-val">Ok</span>(<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="self">self</span>.<span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">strides</span>: <span class="ident">shape</span>.<span class="ident">fortran_strides</span>(),
<span class="ident">dim</span>: <span class="ident">shape</span>,
})
} <span class="kw">else</span> {
<span class="prelude-val">Err</span>(<span class="ident">error::from_kind</span>(<span class="ident">error::ErrorKind::IncompatibleLayout</span>))
}
}
<span class="doccomment">/// *Note: Reshape is for `RcArray` only. Use `.into_shape()` for</span>
<span class="doccomment">/// other arrays and array views.*</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Transform the array into `shape`; any shape with the same number of</span>
<span class="doccomment">/// elements is accepted.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// May clone all elements if needed to arrange elements in standard</span>
<span class="doccomment">/// layout (and break sharing).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if shapes are incompatible.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{rcarr1, rcarr2};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// rcarr1(&[1., 2., 3., 4.]).reshape((2, 2))</span>
<span class="doccomment">/// == rcarr2(&[[1., 2.],</span>
<span class="doccomment">/// [3., 4.]])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">reshape</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">shape</span>: <span class="ident">E</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">E::Dim</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataShared</span> <span class="op">+</span> <span class="ident">DataOwned</span>,
<span class="ident">A</span>: <span class="ident">Clone</span>,
<span class="ident">E</span>: <span class="ident">IntoDimension</span>,
{
<span class="kw">let</span> <span class="ident">shape</span> <span class="op">=</span> <span class="ident">shape</span>.<span class="ident">into_dimension</span>();
<span class="kw">if</span> <span class="ident">shape</span>.<span class="ident">size_checked</span>() <span class="op">!</span><span class="op">=</span> <span class="prelude-val">Some</span>(<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">size</span>()) {
<span class="macro">panic!</span>(<span class="string">"ndarray: incompatible shapes in reshape, attempted from: {:?}, to: {:?}"</span>,
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">slice</span>(),
<span class="ident">shape</span>.<span class="ident">slice</span>())
}
<span class="comment">// Check if contiguous, if not => copy all, else just adapt strides</span>
<span class="kw">if</span> <span class="self">self</span>.<span class="ident">is_standard_layout</span>() {
<span class="kw">let</span> <span class="ident">cl</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">clone</span>();
<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="ident">cl</span>.<span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="ident">cl</span>.<span class="ident">ptr</span>,
<span class="ident">strides</span>: <span class="ident">shape</span>.<span class="ident">default_strides</span>(),
<span class="ident">dim</span>: <span class="ident">shape</span>,
}
} <span class="kw">else</span> {
<span class="kw">let</span> <span class="ident">v</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">iter</span>().<span class="ident">map</span>(<span class="op">|</span><span class="ident">x</span><span class="op">|</span> <span class="ident">x</span>.<span class="ident">clone</span>()).<span class="ident">collect</span>::<span class="op"><</span><span class="ident">Vec</span><span class="op"><</span><span class="ident">A</span><span class="op">></span><span class="op">></span>();
<span class="kw">unsafe</span> {
<span class="ident">ArrayBase::from_shape_vec_unchecked</span>(<span class="ident">shape</span>, <span class="ident">v</span>)
}
}
}
<span class="doccomment">/// Convert any array or array view to a dynamic dimensional array or</span>
<span class="doccomment">/// array view (respectively).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{arr2, ArrayD};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let array: ArrayD<i32> = arr2(&[[1, 2],</span>
<span class="doccomment">/// [3, 4]]).into_dyn();</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_dyn</span>(<span class="self">self</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">IxDyn</span><span class="op">></span> {
<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="self">self</span>.<span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">dim</span>: <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">into_dyn</span>(),
<span class="ident">strides</span>: <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">into_dyn</span>(),
}
}
<span class="doccomment">/// Convert an array or array view to another with the same type, but</span>
<span class="doccomment">/// different dimensionality type. Errors if the dimensions don't agree.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{ArrayD, Ix2, IxDyn};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // Create a dynamic dimensionality array and convert it to an Array2</span>
<span class="doccomment">/// // (Ix2 dimension type).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let array = ArrayD::<f64>::zeros(IxDyn(&[10, 10]));</span>
<span class="doccomment">///</span>
<span class="doccomment">/// assert!(array.into_dimensionality::<Ix2>().is_ok());</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">into_dimensionality</span><span class="op"><</span><span class="ident">D2</span><span class="op">></span>(<span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Result</span><span class="op"><</span><span class="ident">ArrayBase</span><span class="op"><</span><span class="ident">S</span>, <span class="ident">D2</span><span class="op">></span>, <span class="ident">ShapeError</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D2</span>: <span class="ident">Dimension</span>
{
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">dim</span>) <span class="op">=</span> <span class="ident">D2::from_dimension</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>) {
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">strides</span>) <span class="op">=</span> <span class="ident">D2::from_dimension</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>) {
<span class="kw">return</span> <span class="prelude-val">Ok</span>(<span class="ident">ArrayBase</span> {
<span class="ident">data</span>: <span class="self">self</span>.<span class="ident">data</span>,
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">dim</span>: <span class="ident">dim</span>,
<span class="ident">strides</span>: <span class="ident">strides</span>,
});
}
}
<span class="prelude-val">Err</span>(<span class="ident">ShapeError::from_kind</span>(<span class="ident">ErrorKind::IncompatibleShape</span>))
}
<span class="doccomment">/// Act like a larger size and/or shape array by *broadcasting*</span>
<span class="doccomment">/// into a larger shape, if possible.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return `None` if shapes can not be broadcast together.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Background***</span>
<span class="doccomment">///</span>
<span class="doccomment">/// * Two axes are compatible if they are equal, or one of them is 1.</span>
<span class="doccomment">/// * In this instance, only the axes of the smaller side (self) can be 1.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Compare axes beginning with the *last* axis of each shape.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// For example (1, 2, 4) can be broadcast into (7, 6, 2, 4)</span>
<span class="doccomment">/// because its axes are either equal or 1 (or missing);</span>
<span class="doccomment">/// while (2, 2) can *not* be broadcast into (2, 4).</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The implementation creates a view with strides set to zero for the</span>
<span class="doccomment">/// axes that are to be repeated.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// The broadcasting documentation for Numpy has more information.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{aview1, aview2};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// aview1(&[1., 0.]).broadcast((10, 2)).unwrap()</span>
<span class="doccomment">/// == aview2(&[[1., 0.]; 10])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">broadcast</span><span class="op"><</span><span class="ident">E</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">dim</span>: <span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="ident">ArrayView</span><span class="op"><</span><span class="ident">A</span>, <span class="ident">E::Dim</span><span class="op">></span><span class="op">></span>
<span class="kw">where</span> <span class="ident">E</span>: <span class="ident">IntoDimension</span>
{
<span class="doccomment">/// Return new stride when trying to grow `from` into shape `to`</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Broadcasting works by returning a "fake stride" where elements</span>
<span class="doccomment">/// to repeat are in axes with 0 stride, so that several indexes point</span>
<span class="doccomment">/// to the same element.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Note:** Cannot be used for mutable iterators, since repeating</span>
<span class="doccomment">/// elements would create aliasing pointers.</span>
<span class="kw">fn</span> <span class="ident">upcast</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="op">></span>(<span class="ident">to</span>: <span class="kw-2">&</span><span class="ident">D</span>, <span class="ident">from</span>: <span class="kw-2">&</span><span class="ident">E</span>, <span class="ident">stride</span>: <span class="kw-2">&</span><span class="ident">E</span>) <span class="op">-</span><span class="op">></span> <span class="prelude-ty">Option</span><span class="op"><</span><span class="ident">D</span><span class="op">></span> {
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">new_stride</span> <span class="op">=</span> <span class="ident">to</span>.<span class="ident">clone</span>();
<span class="comment">// begin at the back (the least significant dimension)</span>
<span class="comment">// size of the axis has to either agree or `from` has to be 1</span>
<span class="kw">if</span> <span class="ident">to</span>.<span class="ident">ndim</span>() <span class="op"><</span> <span class="ident">from</span>.<span class="ident">ndim</span>() {
<span class="kw">return</span> <span class="prelude-val">None</span>;
}
{
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">new_stride_iter</span> <span class="op">=</span> <span class="ident">new_stride</span>.<span class="ident">slice_mut</span>().<span class="ident">iter_mut</span>().<span class="ident">rev</span>();
<span class="kw">for</span> ((<span class="ident">er</span>, <span class="ident">es</span>), <span class="ident">dr</span>) <span class="kw">in</span> <span class="ident">from</span>.<span class="ident">slice</span>().<span class="ident">iter</span>().<span class="ident">rev</span>()
.<span class="ident">zip</span>(<span class="ident">stride</span>.<span class="ident">slice</span>().<span class="ident">iter</span>().<span class="ident">rev</span>())
.<span class="ident">zip</span>(<span class="ident">new_stride_iter</span>.<span class="ident">by_ref</span>())
{
<span class="comment">/* update strides */</span>
<span class="kw">if</span> <span class="kw-2">*</span><span class="ident">dr</span> <span class="op">=</span><span class="op">=</span> <span class="kw-2">*</span><span class="ident">er</span> {
<span class="comment">/* keep stride */</span>
<span class="kw-2">*</span><span class="ident">dr</span> <span class="op">=</span> <span class="kw-2">*</span><span class="ident">es</span>;
} <span class="kw">else</span> <span class="kw">if</span> <span class="kw-2">*</span><span class="ident">er</span> <span class="op">=</span><span class="op">=</span> <span class="number">1</span> {
<span class="comment">/* dead dimension, zero stride */</span>
<span class="kw-2">*</span><span class="ident">dr</span> <span class="op">=</span> <span class="number">0</span>
} <span class="kw">else</span> {
<span class="kw">return</span> <span class="prelude-val">None</span>;
}
}
<span class="comment">/* set remaining strides to zero */</span>
<span class="kw">for</span> <span class="ident">dr</span> <span class="kw">in</span> <span class="ident">new_stride_iter</span> {
<span class="kw-2">*</span><span class="ident">dr</span> <span class="op">=</span> <span class="number">0</span>;
}
}
<span class="prelude-val">Some</span>(<span class="ident">new_stride</span>)
}
<span class="kw">let</span> <span class="ident">dim</span> <span class="op">=</span> <span class="ident">dim</span>.<span class="ident">into_dimension</span>();
<span class="comment">// Note: zero strides are safe precisely because we return an read-only view</span>
<span class="kw">let</span> <span class="ident">broadcast_strides</span> <span class="op">=</span> <span class="kw">match</span> <span class="ident">upcast</span>(<span class="kw-2">&</span><span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>) {
<span class="prelude-val">Some</span>(<span class="ident">st</span>) <span class="op">=</span><span class="op">></span> <span class="ident">st</span>,
<span class="prelude-val">None</span> <span class="op">=</span><span class="op">></span> <span class="kw">return</span> <span class="prelude-val">None</span>,
};
<span class="kw">unsafe</span> { <span class="prelude-val">Some</span>(<span class="ident">ArrayView::new_</span>(<span class="self">self</span>.<span class="ident">ptr</span>, <span class="ident">dim</span>, <span class="ident">broadcast_strides</span>)) }
}
<span class="doccomment">/// Swap axes `ax` and `bx`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This does not move any data, it just adjusts the array’s dimensions</span>
<span class="doccomment">/// and strides.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if the axes are out of bounds.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::arr2;</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let mut a = arr2(&[[1., 2., 3.]]);</span>
<span class="doccomment">/// a.swap_axes(0, 1);</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a == arr2(&[[1.], [2.], [3.]])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">swap_axes</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">ax</span>: <span class="ident">usize</span>, <span class="ident">bx</span>: <span class="ident">usize</span>) {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">slice_mut</span>().<span class="ident">swap</span>(<span class="ident">ax</span>, <span class="ident">bx</span>);
<span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">slice_mut</span>().<span class="ident">swap</span>(<span class="ident">ax</span>, <span class="ident">bx</span>);
}
<span class="doccomment">/// Transpose the array by reversing axes.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Transposition reverses the order of the axes (dimensions and strides)</span>
<span class="doccomment">/// while retaining the same data.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">reversed_axes</span>(<span class="kw-2">mut</span> <span class="self">self</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">dim</span>.<span class="ident">slice_mut</span>().<span class="ident">reverse</span>();
<span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">slice_mut</span>().<span class="ident">reverse</span>();
<span class="self">self</span>
}
<span class="doccomment">/// Return a transposed view of the array.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// This is a shorthand for `self.view().reversed_axes()`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// See also the more general methods `.reversed_axes()` and `.swap_axes()`.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">t</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">ArrayView</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">view</span>().<span class="ident">reversed_axes</span>()
}
<span class="doccomment">/// Return an iterator over the length and stride of each axis.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">axes</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Axes</span><span class="op"><</span><span class="ident">D</span><span class="op">></span> {
<span class="ident">axes_of</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>)
}
<span class="comment">/*
/// Return the axis with the least stride (by absolute value)
pub fn min_stride_axis(&self) -> Axis {
self.dim.min_stride_axis(&self.strides)
}
*/</span>
<span class="doccomment">/// Return the axis with the greatest stride (by absolute value),</span>
<span class="doccomment">/// preferring axes with len > 1.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">max_stride_axis</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Axis</span> {
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">max_stride_axis</span>(<span class="kw-2">&</span><span class="self">self</span>.<span class="ident">strides</span>)
}
<span class="doccomment">/// Reverse the stride of `axis`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Panics*** if the axis is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">invert_axis</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>) {
<span class="kw">unsafe</span> {
<span class="kw">let</span> <span class="ident">s</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">axis</span>(<span class="ident">axis</span>) <span class="kw">as</span> <span class="ident">Ixs</span>;
<span class="kw">let</span> <span class="ident">m</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">axis</span>(<span class="ident">axis</span>);
<span class="kw">if</span> <span class="ident">m</span> <span class="op">!</span><span class="op">=</span> <span class="number">0</span> {
<span class="self">self</span>.<span class="ident">ptr</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">stride_offset</span>(<span class="ident">m</span> <span class="op">-</span> <span class="number">1</span>, <span class="ident">s</span> <span class="kw">as</span> <span class="ident">Ix</span>));
}
<span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">set_axis</span>(<span class="ident">axis</span>, (<span class="op">-</span><span class="ident">s</span>) <span class="kw">as</span> <span class="ident">Ix</span>);
}
}
<span class="doccomment">/// If possible, merge in the axis `take` to `into`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::Array3;</span>
<span class="doccomment">/// use ndarray::Axis;</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let mut a = Array3::<f64>::zeros((2, 3, 4));</span>
<span class="doccomment">/// a.merge_axes(Axis(1), Axis(2));</span>
<span class="doccomment">/// assert_eq!(a.shape(), &[2, 1, 12]);</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Panics*** if an axis is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">merge_axes</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">take</span>: <span class="ident">Axis</span>, <span class="ident">into</span>: <span class="ident">Axis</span>) <span class="op">-</span><span class="op">></span> <span class="ident">bool</span> {
<span class="ident">merge_axes</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>.<span class="ident">dim</span>, <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>.<span class="ident">strides</span>, <span class="ident">take</span>, <span class="ident">into</span>)
}
<span class="doccomment">/// Insert new array axis at `axis` and return the result.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::{Array3, Axis, arr1, arr2};</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // Convert a 1-D array into a row vector (2-D).</span>
<span class="doccomment">/// let a = arr1(&[1, 2, 3]);</span>
<span class="doccomment">/// let row = a.insert_axis(Axis(0));</span>
<span class="doccomment">/// assert_eq!(row, arr2(&[[1, 2, 3]]));</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // Convert a 1-D array into a column vector (2-D).</span>
<span class="doccomment">/// let b = arr1(&[1, 2, 3]);</span>
<span class="doccomment">/// let col = b.insert_axis(Axis(1));</span>
<span class="doccomment">/// assert_eq!(col, arr2(&[[1], [2], [3]]));</span>
<span class="doccomment">///</span>
<span class="doccomment">/// // The new axis always has length 1.</span>
<span class="doccomment">/// let b = Array3::<f64>::zeros((3, 4, 5));</span>
<span class="doccomment">/// assert_eq!(b.insert_axis(Axis(2)).shape(), &[3, 4, 1, 5]);</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ***Panics*** if the axis is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">insert_axis</span>(<span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</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::Larger</span><span class="op">></span>
{
<span class="macro">assert!</span>(<span class="ident">axis</span>.<span class="ident">index</span>() <span class="op"><</span><span class="op">=</span> <span class="self">self</span>.<span class="ident">ndim</span>());
<span class="kw">let</span> <span class="ident">ArrayBase</span> { <span class="ident">ptr</span>, <span class="ident">data</span>, <span class="ident">dim</span>, <span class="ident">strides</span> } <span class="op">=</span> <span class="self">self</span>;
<span class="ident">ArrayBase</span> {
<span class="ident">ptr</span>,
<span class="ident">data</span>,
<span class="ident">dim</span>: <span class="ident">dim</span>.<span class="ident">insert_axis</span>(<span class="ident">axis</span>),
<span class="ident">strides</span>: <span class="ident">strides</span>.<span class="ident">insert_axis</span>(<span class="ident">axis</span>),
}
}
<span class="doccomment">/// Remove array axis `axis` and return the result.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">remove_axis</span>(<span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</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::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
{
<span class="macro">assert!</span>(<span class="self">self</span>.<span class="ident">ndim</span>() <span class="op">!</span><span class="op">=</span> <span class="number">0</span>);
<span class="kw">let</span> <span class="ident">d</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">remove_axis</span>(<span class="ident">axis</span>);
<span class="kw">let</span> <span class="ident">s</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">remove_axis</span>(<span class="ident">axis</span>);
<span class="ident">ArrayBase</span> {
<span class="ident">ptr</span>: <span class="self">self</span>.<span class="ident">ptr</span>,
<span class="ident">data</span>: <span class="self">self</span>.<span class="ident">data</span>,
<span class="ident">dim</span>: <span class="ident">d</span>,
<span class="ident">strides</span>: <span class="ident">s</span>,
}
}
<span class="kw">fn</span> <span class="ident">pointer_is_inbounds</span>(<span class="kw-2">&</span><span class="self">self</span>) <span class="op">-</span><span class="op">></span> <span class="ident">bool</span> {
<span class="kw">let</span> <span class="ident">slc</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">data</span>.<span class="ident">_data_slice</span>();
<span class="kw">if</span> <span class="ident">slc</span>.<span class="ident">is_empty</span>() {
<span class="comment">// special case for data-less views</span>
<span class="kw">return</span> <span class="bool-val">true</span>;
}
<span class="kw">let</span> <span class="ident">ptr</span> <span class="op">=</span> <span class="ident">slc</span>.<span class="ident">as_ptr</span>() <span class="kw">as</span> <span class="kw-2">*</span><span class="kw-2">mut</span> <span class="ident">A</span>;
<span class="kw">let</span> <span class="ident">end</span> <span class="op">=</span> <span class="kw">unsafe</span> {
<span class="ident">ptr</span>.<span class="ident">offset</span>(<span class="ident">slc</span>.<span class="ident">len</span>() <span class="kw">as</span> <span class="ident">isize</span>)
};
<span class="self">self</span>.<span class="ident">ptr</span> <span class="op">></span><span class="op">=</span> <span class="ident">ptr</span> <span class="op">&&</span> <span class="self">self</span>.<span class="ident">ptr</span> <span class="op"><</span><span class="op">=</span> <span class="ident">end</span>
}
<span class="doccomment">/// Perform an elementwise assigment to `self` from `rhs`.</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">pub</span> <span class="kw">fn</span> <span class="ident">assign</span><span class="op"><</span><span class="ident">E</span>: <span class="ident">Dimension</span>, <span class="ident">S2</span><span class="op">></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="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">A</span>: <span class="ident">Clone</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="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">y</span>.<span class="ident">clone</span>());
}
<span class="doccomment">/// Perform an elementwise assigment to `self` from element `x`.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">fill</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">x</span>: <span class="ident">A</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>, <span class="ident">A</span>: <span class="ident">Clone</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">x</span>.<span class="ident">clone</span>());
}
<span class="kw">fn</span> <span class="ident">zip_mut_with_same_shape</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">S2</span>, <span class="ident">E</span>, <span class="ident">F</span><span class="op">></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="kw-2">mut</span> <span class="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">S</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">B</span><span class="op">></span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
<span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span>, <span class="kw-2">&</span><span class="ident">B</span>)
{
<span class="macro">debug_assert_eq!</span>(<span class="self">self</span>.<span class="ident">shape</span>(), <span class="ident">rhs</span>.<span class="ident">shape</span>());
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">self_s</span>) <span class="op">=</span> <span class="self">self</span>.<span class="ident">as_slice_mut</span>() {
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">rhs_s</span>) <span class="op">=</span> <span class="ident">rhs</span>.<span class="ident">as_slice</span>() {
<span class="kw">let</span> <span class="ident">len</span> <span class="op">=</span> <span class="ident">cmp::min</span>(<span class="ident">self_s</span>.<span class="ident">len</span>(), <span class="ident">rhs_s</span>.<span class="ident">len</span>());
<span class="kw">let</span> <span class="ident">s</span> <span class="op">=</span> <span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">self_s</span>[..<span class="ident">len</span>];
<span class="kw">let</span> <span class="ident">r</span> <span class="op">=</span> <span class="kw-2">&</span><span class="ident">rhs_s</span>[..<span class="ident">len</span>];
<span class="kw">for</span> <span class="ident">i</span> <span class="kw">in</span> <span class="number">0</span>..<span class="ident">len</span> {
<span class="ident">f</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">s</span>[<span class="ident">i</span>], <span class="kw-2">&</span><span class="ident">r</span>[<span class="ident">i</span>]);
}
<span class="kw">return</span>;
}
}
<span class="comment">// otherwise, fall back to the outer iter</span>
<span class="self">self</span>.<span class="ident">zip_mut_with_by_rows</span>(<span class="ident">rhs</span>, <span class="ident">f</span>);
}
<span class="comment">// zip two arrays where they have different layout or strides</span>
<span class="attribute">#[<span class="ident">inline</span>(<span class="ident">always</span>)]</span>
<span class="kw">fn</span> <span class="ident">zip_mut_with_by_rows</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">S2</span>, <span class="ident">E</span>, <span class="ident">F</span><span class="op">></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="kw-2">mut</span> <span class="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">S</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">B</span><span class="op">></span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
<span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span>, <span class="kw-2">&</span><span class="ident">B</span>)
{
<span class="macro">debug_assert_eq!</span>(<span class="self">self</span>.<span class="ident">shape</span>(), <span class="ident">rhs</span>.<span class="ident">shape</span>());
<span class="macro">debug_assert_ne!</span>(<span class="self">self</span>.<span class="ident">ndim</span>(), <span class="number">0</span>);
<span class="comment">// break the arrays up into their inner rows</span>
<span class="kw">let</span> <span class="ident">n</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">ndim</span>();
<span class="kw">let</span> <span class="ident">dim</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">raw_dim</span>();
<span class="ident">Zip::from</span>(<span class="ident">new_lanes_mut</span>(<span class="self">self</span>.<span class="ident">view_mut</span>(), <span class="ident">Axis</span>(<span class="ident">n</span> <span class="op">-</span> <span class="number">1</span>)))
.<span class="ident">and</span>(<span class="ident">new_lanes</span>(<span class="ident">rhs</span>.<span class="ident">broadcast_assume</span>(<span class="ident">dim</span>), <span class="ident">Axis</span>(<span class="ident">n</span> <span class="op">-</span> <span class="number">1</span>)))
.<span class="ident">apply</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">s_row</span>, <span class="ident">r_row</span><span class="op">|</span> {
<span class="ident">Zip::from</span>(<span class="ident">s_row</span>).<span class="ident">and</span>(<span class="ident">r_row</span>).<span class="ident">apply</span>(<span class="op">|</span><span class="ident">a</span>, <span class="ident">b</span><span class="op">|</span> <span class="ident">f</span>(<span class="ident">a</span>, <span class="ident">b</span>))
});
}
<span class="kw">fn</span> <span class="ident">zip_mut_with_elem</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">rhs_elem</span>: <span class="kw-2">&</span><span class="ident">B</span>, <span class="kw-2">mut</span> <span class="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span>, <span class="kw-2">&</span><span class="ident">B</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">f</span>(<span class="ident">elt</span>, <span class="ident">rhs_elem</span>));
}
<span class="doccomment">/// Traverse two arrays in unspecified order, in lock step,</span>
<span class="doccomment">/// calling the closure `f` on each element pair.</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="attribute">#[<span class="ident">inline</span>]</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">zip_mut_with</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">S2</span>, <span class="ident">E</span>, <span class="ident">F</span><span class="op">></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="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">S</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">B</span><span class="op">></span>,
<span class="ident">E</span>: <span class="ident">Dimension</span>,
<span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span>, <span class="kw-2">&</span><span class="ident">B</span>)
{
<span class="kw">if</span> <span class="ident">rhs</span>.<span class="ident">dim</span>.<span class="ident">ndim</span>() <span class="op">=</span><span class="op">=</span> <span class="number">0</span> {
<span class="comment">// Skip broadcast from 0-dim array</span>
<span class="self">self</span>.<span class="ident">zip_mut_with_elem</span>(<span class="ident">rhs</span>.<span class="ident">get_0d</span>(), <span class="ident">f</span>);
} <span class="kw">else</span> <span class="kw">if</span> <span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">ndim</span>() <span class="op">=</span><span class="op">=</span> <span class="ident">rhs</span>.<span class="ident">dim</span>.<span class="ident">ndim</span>() <span class="op">&&</span> <span class="self">self</span>.<span class="ident">shape</span>() <span class="op">=</span><span class="op">=</span> <span class="ident">rhs</span>.<span class="ident">shape</span>() {
<span class="self">self</span>.<span class="ident">zip_mut_with_same_shape</span>(<span class="ident">rhs</span>, <span class="ident">f</span>);
} <span class="kw">else</span> {
<span class="kw">let</span> <span class="ident">rhs_broadcast</span> <span class="op">=</span> <span class="ident">rhs</span>.<span class="ident">broadcast_unwrap</span>(<span class="self">self</span>.<span class="ident">raw_dim</span>());
<span class="self">self</span>.<span class="ident">zip_mut_with_by_rows</span>(<span class="kw-2">&</span><span class="ident">rhs_broadcast</span>, <span class="ident">f</span>);
}
}
<span class="doccomment">/// Traverse the array elements and apply a fold,</span>
<span class="doccomment">/// returning the resulting value.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">fold</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">F</span>, <span class="ident">B</span><span class="op">></span>(<span class="kw-2">&</span><span class="lifetime">'a</span> <span class="self">self</span>, <span class="ident">init</span>: <span class="ident">B</span>, <span class="ident">f</span>: <span class="ident">F</span>) <span class="op">-</span><span class="op">></span> <span class="ident">B</span>
<span class="kw">where</span> <span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="ident">B</span>, <span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">A</span>) <span class="op">-</span><span class="op">></span> <span class="ident">B</span>, <span class="ident">A</span>: <span class="lifetime">'a</span>
{
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">slc</span>) <span class="op">=</span> <span class="self">self</span>.<span class="ident">as_slice_memory_order</span>() {
<span class="ident">slc</span>.<span class="ident">iter</span>().<span class="ident">fold</span>(<span class="ident">init</span>, <span class="ident">f</span>)
} <span class="kw">else</span> {
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">v</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">view</span>();
<span class="comment">// put the narrowest axis at the last position</span>
<span class="kw">if</span> <span class="ident">v</span>.<span class="ident">ndim</span>() <span class="op">></span> <span class="number">1</span> {
<span class="kw">let</span> <span class="ident">last</span> <span class="op">=</span> <span class="ident">v</span>.<span class="ident">ndim</span>() <span class="op">-</span> <span class="number">1</span>;
<span class="kw">let</span> <span class="ident">narrow_axis</span> <span class="op">=</span> <span class="ident">v</span>.<span class="ident">axes</span>()
.<span class="ident">filter</span>(<span class="op">|</span><span class="ident">ax</span><span class="op">|</span> <span class="ident">ax</span>.<span class="ident">len</span>() <span class="op">></span> <span class="number">1</span>)
.<span class="ident">min_by_key</span>(<span class="op">|</span><span class="ident">ax</span><span class="op">|</span> <span class="ident">ax</span>.<span class="ident">stride</span>().<span class="ident">abs</span>())
.<span class="ident">map_or</span>(<span class="ident">last</span>, <span class="op">|</span><span class="ident">ax</span><span class="op">|</span> <span class="ident">ax</span>.<span class="ident">axis</span>().<span class="ident">index</span>());
<span class="ident">v</span>.<span class="ident">swap_axes</span>(<span class="ident">last</span>, <span class="ident">narrow_axis</span>);
}
<span class="ident">v</span>.<span class="ident">into_elements_base</span>().<span class="ident">fold</span>(<span class="ident">init</span>, <span class="ident">f</span>)
}
}
<span class="doccomment">/// Call `f` by reference on each element and create a new array</span>
<span class="doccomment">/// with the new values.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return an array with the same shape as `self`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::arr2;</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = arr2(&[[ 0., 1.],</span>
<span class="doccomment">/// [-1., 2.]]);</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a.map(|x| *x >= 1.0)</span>
<span class="doccomment">/// == arr2(&[[false, true],</span>
<span class="doccomment">/// [false, true]])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">map</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">B</span>, <span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="lifetime">'a</span> <span class="self">self</span>, <span class="ident">f</span>: <span class="ident">F</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">A</span>) <span class="op">-</span><span class="op">></span> <span class="ident">B</span>,
<span class="ident">A</span>: <span class="lifetime">'a</span>,
{
<span class="kw">if</span> <span class="kw">let</span> <span class="prelude-val">Some</span>(<span class="ident">slc</span>) <span class="op">=</span> <span class="self">self</span>.<span class="ident">as_slice_memory_order</span>() {
<span class="kw">let</span> <span class="ident">v</span> <span class="op">=</span> <span class="ident">::iterators::to_vec_mapped</span>(<span class="ident">slc</span>.<span class="ident">iter</span>(), <span class="ident">f</span>);
<span class="kw">unsafe</span> {
<span class="ident">ArrayBase::from_shape_vec_unchecked</span>(
<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>().<span class="ident">strides</span>(<span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">clone</span>()), <span class="ident">v</span>)
}
} <span class="kw">else</span> {
<span class="kw">let</span> <span class="ident">v</span> <span class="op">=</span> <span class="ident">::iterators::to_vec_mapped</span>(<span class="self">self</span>.<span class="ident">iter</span>(), <span class="ident">f</span>);
<span class="kw">unsafe</span> {
<span class="ident">ArrayBase::from_shape_vec_unchecked</span>(<span class="self">self</span>.<span class="ident">dim</span>.<span class="ident">clone</span>(), <span class="ident">v</span>)
}
}
}
<span class="doccomment">/// Call `f` by **v**alue on each element and create a new array</span>
<span class="doccomment">/// with the new values.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return an array with the same shape as `self`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::arr2;</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let a = arr2(&[[ 0., 1.],</span>
<span class="doccomment">/// [-1., 2.]]);</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a.mapv(f32::abs) == arr2(&[[0., 1.],</span>
<span class="doccomment">/// [1., 2.]])</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">mapv</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">f</span>: <span class="ident">F</span>) <span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">D</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">F</span>: <span class="ident">Fn</span>(<span class="ident">A</span>) <span class="op">-</span><span class="op">></span> <span class="ident">B</span>,
<span class="ident">A</span>: <span class="ident">Clone</span>,
{
<span class="self">self</span>.<span class="ident">map</span>(<span class="kw">move</span> <span class="op">|</span><span class="ident">x</span><span class="op">|</span> <span class="ident">f</span>(<span class="ident">x</span>.<span class="ident">clone</span>()))
}
<span class="doccomment">/// Call `f` by **v**alue on each element, update the array with the new values</span>
<span class="doccomment">/// and return it.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">mapv_into</span><span class="op"><</span><span class="ident">F</span><span class="op">></span>(<span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">f</span>: <span class="ident">F</span>) <span class="op">-</span><span class="op">></span> <span class="self">Self</span>
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">F</span>: <span class="ident">Fn</span>(<span class="ident">A</span>) <span class="op">-</span><span class="op">></span> <span class="ident">A</span>,
<span class="ident">A</span>: <span class="ident">Clone</span>,
{
<span class="self">self</span>.<span class="ident">mapv_inplace</span>(<span class="ident">f</span>);
<span class="self">self</span>
}
<span class="doccomment">/// Modify the array in place by calling `f` by mutable reference on each element.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">map_inplace</span><span class="op"><</span><span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">F</span>: <span class="ident">Fn</span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="ident">A</span>),
{
<span class="self">self</span>.<span class="ident">unordered_foreach_mut</span>(<span class="ident">f</span>);
}
<span class="doccomment">/// Modify the array in place by calling `f` by **v**alue on each element.</span>
<span class="doccomment">/// The array is updated with the new values.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// ```</span>
<span class="doccomment">/// use ndarray::arr2;</span>
<span class="doccomment">///</span>
<span class="doccomment">/// let mut a = arr2(&[[ 0., 1.],</span>
<span class="doccomment">/// [-1., 2.]]);</span>
<span class="doccomment">/// a.mapv_inplace(f32::exp);</span>
<span class="doccomment">/// assert!(</span>
<span class="doccomment">/// a.all_close(&arr2(&[[1.00000, 2.71828],</span>
<span class="doccomment">/// [0.36788, 7.38906]]), 1e-5)</span>
<span class="doccomment">/// );</span>
<span class="doccomment">/// ```</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">mapv_inplace</span><span class="op"><</span><span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="kw-2">mut</span> <span class="self">self</span>, <span class="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">S</span>: <span class="ident">DataMut</span>,
<span class="ident">F</span>: <span class="ident">Fn</span>(<span class="ident">A</span>) <span class="op">-</span><span class="op">></span> <span class="ident">A</span>,
<span class="ident">A</span>: <span class="ident">Clone</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">x</span><span class="op">|</span> <span class="kw-2">*</span><span class="ident">x</span> <span class="op">=</span> <span class="ident">f</span>(<span class="ident">x</span>.<span class="ident">clone</span>()));
}
<span class="doccomment">/// Visit each element in the array by calling `f` by reference</span>
<span class="doccomment">/// on each element.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">visit</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="lifetime">'a</span> <span class="self">self</span>, <span class="kw-2">mut</span> <span class="ident">f</span>: <span class="ident">F</span>)
<span class="kw">where</span> <span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="lifetime">'a</span> <span class="ident">A</span>),
<span class="ident">A</span>: <span class="lifetime">'a</span>,
{
<span class="self">self</span>.<span class="ident">fold</span>((), <span class="kw">move</span> <span class="op">|</span>(), <span class="ident">elt</span><span class="op">|</span> <span class="ident">f</span>(<span class="ident">elt</span>))
}
<span class="doccomment">/// Fold along an axis.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Combine the elements of each subview with the previous using the `fold`</span>
<span class="doccomment">/// function and initial value `init`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return the result as an `Array`.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">fold_axis</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="ident">init</span>: <span class="ident">B</span>, <span class="kw-2">mut</span> <span class="ident">fold</span>: <span class="ident">F</span>)
<span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
<span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="kw-2">&</span><span class="ident">B</span>, <span class="kw-2">&</span><span class="ident">A</span>) <span class="op">-</span><span class="op">></span> <span class="ident">B</span>,
<span class="ident">B</span>: <span class="ident">Clone</span>,
{
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">res</span> <span class="op">=</span> <span class="ident">Array::from_elem</span>(<span class="self">self</span>.<span class="ident">raw_dim</span>().<span class="ident">remove_axis</span>(<span class="ident">axis</span>), <span class="ident">init</span>);
<span class="kw">for</span> <span class="ident">subview</span> <span class="kw">in</span> <span class="self">self</span>.<span class="ident">axis_iter</span>(<span class="ident">axis</span>) {
<span class="ident">res</span>.<span class="ident">zip_mut_with</span>(<span class="kw-2">&</span><span class="ident">subview</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">fold</span>(<span class="ident">x</span>, <span class="ident">y</span>));
}
<span class="ident">res</span>
}
<span class="doccomment">/// Reduce the values along an axis into just one value, producing a new</span>
<span class="doccomment">/// array with one less dimension.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Elements are visited in arbitrary order.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// Return the result as an `Array`.</span>
<span class="doccomment">///</span>
<span class="doccomment">/// **Panics** if `axis` is out of bounds.</span>
<span class="kw">pub</span> <span class="kw">fn</span> <span class="ident">map_axis</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">B</span>, <span class="ident">F</span><span class="op">></span>(<span class="kw-2">&</span><span class="lifetime">'a</span> <span class="self">self</span>, <span class="ident">axis</span>: <span class="ident">Axis</span>, <span class="kw-2">mut</span> <span class="ident">mapping</span>: <span class="ident">F</span>)
<span class="op">-</span><span class="op">></span> <span class="ident">Array</span><span class="op"><</span><span class="ident">B</span>, <span class="ident">D::Smaller</span><span class="op">></span>
<span class="kw">where</span> <span class="ident">D</span>: <span class="ident">RemoveAxis</span>,
<span class="ident">F</span>: <span class="ident">FnMut</span>(<span class="ident">ArrayView1</span><span class="op"><</span><span class="lifetime">'a</span>, <span class="ident">A</span><span class="op">></span>) <span class="op">-</span><span class="op">></span> <span class="ident">B</span>,
<span class="ident">A</span>: <span class="lifetime">'a</span>,
{
<span class="kw">let</span> <span class="ident">view_len</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">len_of</span>(<span class="ident">axis</span>);
<span class="kw">let</span> <span class="ident">view_stride</span> <span class="op">=</span> <span class="self">self</span>.<span class="ident">strides</span>.<span class="ident">axis</span>(<span class="ident">axis</span>);
<span class="comment">// use the 0th subview as a map to each 1d array view extended from</span>
<span class="comment">// the 0th element.</span>
<span class="self">self</span>.<span class="ident">subview</span>(<span class="ident">axis</span>, <span class="number">0</span>).<span class="ident">map</span>(<span class="op">|</span><span class="ident">first_elt</span><span class="op">|</span> {
<span class="kw">unsafe</span> {
<span class="ident">mapping</span>(<span class="ident">ArrayView::new_</span>(<span class="ident">first_elt</span>, <span class="ident">Ix1</span>(<span class="ident">view_len</span>), <span class="ident">Ix1</span>(<span class="ident">view_stride</span>)))
}
})
}
}
</pre></div>
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