1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279
// Copyright 2014-2016 bluss and ndarray developers.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
use crate::error::{from_kind, ErrorKind, ShapeError};
use crate::imp_prelude::*;
/// Stack arrays along the new axis.
///
/// ***Errors*** if the arrays have mismatching shapes.
/// ***Errors*** if `arrays` is empty, if `axis` is out of bounds,
/// if the result is larger than is possible to represent.
///
/// ```
/// extern crate ndarray;
///
/// use ndarray::{arr2, arr3, stack, Axis};
///
/// # fn main() {
///
/// let a = arr2(&[[2., 2.],
/// [3., 3.]]);
/// assert!(
/// stack(Axis(0), &[a.view(), a.view()])
/// == Ok(arr3(&[[[2., 2.],
/// [3., 3.]],
/// [[2., 2.],
/// [3., 3.]]]))
/// );
/// # }
/// ```
pub fn stack<A, D>(
axis: Axis,
arrays: &[ArrayView<A, D>],
) -> Result<Array<A, D::Larger>, ShapeError>
where
A: Copy,
D: Dimension,
D::Larger: RemoveAxis,
{
stack_new_axis(axis, arrays)
}
/// Concatenate arrays along the given axis.
///
/// ***Errors*** if the arrays have mismatching shapes, apart from along `axis`.
/// (may be made more flexible in the future).<br>
/// ***Errors*** if `arrays` is empty, if `axis` is out of bounds,
/// if the result is larger than is possible to represent.
///
/// ```
/// use ndarray::{arr2, Axis, concatenate};
///
/// let a = arr2(&[[2., 2.],
/// [3., 3.]]);
/// assert!(
/// concatenate(Axis(0), &[a.view(), a.view()])
/// == Ok(arr2(&[[2., 2.],
/// [3., 3.],
/// [2., 2.],
/// [3., 3.]]))
/// );
/// ```
pub fn concatenate<A, D>(axis: Axis, arrays: &[ArrayView<A, D>]) -> Result<Array<A, D>, ShapeError>
where
A: Copy,
D: RemoveAxis,
{
if arrays.is_empty() {
return Err(from_kind(ErrorKind::Unsupported));
}
let mut res_dim = arrays[0].raw_dim();
if axis.index() >= res_dim.ndim() {
return Err(from_kind(ErrorKind::OutOfBounds));
}
let common_dim = res_dim.remove_axis(axis);
if arrays
.iter()
.any(|a| a.raw_dim().remove_axis(axis) != common_dim)
{
return Err(from_kind(ErrorKind::IncompatibleShape));
}
let stacked_dim = arrays.iter().fold(0, |acc, a| acc + a.len_of(axis));
res_dim.set_axis(axis, stacked_dim);
// we can safely use uninitialized values here because they are Copy
// and we will only ever write to them
let size = res_dim.size();
let mut v = Vec::with_capacity(size);
unsafe {
v.set_len(size);
}
let mut res = Array::from_shape_vec(res_dim, v)?;
{
let mut assign_view = res.view_mut();
for array in arrays {
let len = array.len_of(axis);
let (mut front, rest) = assign_view.split_at(axis, len);
front.assign(array);
assign_view = rest;
}
}
Ok(res)
}
/// Stack arrays along the new axis.
///
/// ***Errors*** if the arrays have mismatching shapes.
/// ***Errors*** if `arrays` is empty, if `axis` is out of bounds,
/// if the result is larger than is possible to represent.
///
/// ```
/// extern crate ndarray;
///
/// use ndarray::{arr2, arr3, stack_new_axis, Axis};
///
/// # fn main() {
///
/// let a = arr2(&[[2., 2.],
/// [3., 3.]]);
/// assert!(
/// stack_new_axis(Axis(0), &[a.view(), a.view()])
/// == Ok(arr3(&[[[2., 2.],
/// [3., 3.]],
/// [[2., 2.],
/// [3., 3.]]]))
/// );
/// # }
/// ```
pub fn stack_new_axis<A, D>(
axis: Axis,
arrays: &[ArrayView<A, D>],
) -> Result<Array<A, D::Larger>, ShapeError>
where
A: Copy,
D: Dimension,
D::Larger: RemoveAxis,
{
if arrays.is_empty() {
return Err(from_kind(ErrorKind::Unsupported));
}
let common_dim = arrays[0].raw_dim();
// Avoid panic on `insert_axis` call, return an Err instead of it.
if axis.index() > common_dim.ndim() {
return Err(from_kind(ErrorKind::OutOfBounds));
}
let mut res_dim = common_dim.insert_axis(axis);
if arrays.iter().any(|a| a.raw_dim() != common_dim) {
return Err(from_kind(ErrorKind::IncompatibleShape));
}
res_dim.set_axis(axis, arrays.len());
// we can safely use uninitialized values here because they are Copy
// and we will only ever write to them
let size = res_dim.size();
let mut v = Vec::with_capacity(size);
unsafe {
v.set_len(size);
}
let mut res = Array::from_shape_vec(res_dim, v)?;
res.axis_iter_mut(axis)
.zip(arrays.iter())
.for_each(|(mut assign_view, array)| {
assign_view.assign(&array);
});
Ok(res)
}
/// Stack arrays along the new axis.
///
/// Uses the [`stack`][1] function, calling `ArrayView::from(&a)` on each
/// argument `a`.
///
/// [1]: fn.stack.html
///
/// ***Panics*** if the `stack` function would return an error.
///
/// ```
/// extern crate ndarray;
///
/// use ndarray::{arr2, arr3, stack, Axis};
///
/// # fn main() {
///
/// let a = arr2(&[[2., 2.],
/// [3., 3.]]);
/// assert!(
/// stack![Axis(0), a, a]
/// == arr3(&[[[2., 2.],
/// [3., 3.]],
/// [[2., 2.],
/// [3., 3.]]])
/// );
/// # }
/// ```
#[macro_export]
macro_rules! stack {
($axis:expr, $( $array:expr ),+ ) => {
$crate::stack($axis, &[ $($crate::ArrayView::from(&$array) ),* ]).unwrap()
}
}
/// Concatenate arrays along the given axis.
///
/// Uses the [`concatenate`][1] function, calling `ArrayView::from(&a)` on each
/// argument `a`.
///
/// [1]: fn.concatenate.html
///
/// ***Panics*** if the `concatenate` function would return an error.
///
/// ```
/// extern crate ndarray;
///
/// use ndarray::{arr2, concatenate, Axis};
///
/// # fn main() {
///
/// let a = arr2(&[[2., 2.],
/// [3., 3.]]);
/// assert!(
/// concatenate![Axis(0), a, a]
/// == arr2(&[[2., 2.],
/// [3., 3.],
/// [2., 2.],
/// [3., 3.]])
/// );
/// # }
/// ```
#[macro_export]
macro_rules! concatenate {
($axis:expr, $( $array:expr ),+ ) => {
$crate::concatenate($axis, &[ $($crate::ArrayView::from(&$array) ),* ]).unwrap()
}
}
/// Stack arrays along the new axis.
///
/// Uses the [`stack_new_axis`][1] function, calling `ArrayView::from(&a)` on each
/// argument `a`.
///
/// [1]: fn.stack_new_axis.html
///
/// ***Panics*** if the `stack` function would return an error.
///
/// ```
/// extern crate ndarray;
///
/// use ndarray::{arr2, arr3, stack_new_axis, Axis};
///
/// # fn main() {
///
/// let a = arr2(&[[2., 2.],
/// [3., 3.]]);
/// assert!(
/// stack_new_axis![Axis(0), a, a]
/// == arr3(&[[[2., 2.],
/// [3., 3.]],
/// [[2., 2.],
/// [3., 3.]]])
/// );
/// # }
/// ```
#[macro_export]
macro_rules! stack_new_axis {
($axis:expr, $( $array:expr ),+ ) => {
$crate::stack_new_axis($axis, &[ $($crate::ArrayView::from(&$array) ),* ]).unwrap()
}
}