Replace some links with intra-doc links

Author: LeSeulArtichaut

ndarray-rand/src/lib.rs

@@ -8,15 +8,15 @@
 
 //! Constructors for randomized arrays: `rand` integration for `ndarray`.
 //!
-//! See [**`RandomExt`**](trait.RandomExt.html) for usage examples.
+//! See **[`RandomExt`]** for usage examples.
 //!
 //! ## Note
 //!
 //! `ndarray-rand` depends on [`rand` 0.8][rand].
 //!
 //! [`rand`][rand] and [`rand_distr`][rand_distr]
-//! are re-exported as sub-modules, [`ndarray_rand::rand`](rand/index.html)
-//! and [`ndarray_rand::rand_distr`](rand_distr/index.html) respectively.
+//! are re-exported as sub-modules, [`ndarray_rand::rand`](rand)
+//! and [`ndarray_rand::rand_distr`](rand_distr) respectively.
 //! You can use these submodules for guaranteed version compatibility or
 //! convenience.
 //!
@@ -60,7 +60,7 @@ pub mod rand_distr {
 /// Note that `SmallRng` is cheap to initialize and fast, but it may generate
 /// low-quality random numbers, and reproducibility is not guaranteed. See its
 /// documentation for information. You can select a different RNG with
-/// [`.random_using()`](#tymethod.random_using).
+/// [`.random_using()`](Self::RandomUsing).
 pub trait RandomExt<S, A, D>
 where
     S: RawData<Elem = A>,
@@ -293,8 +293,8 @@ where
 /// if lanes from the original array should only be sampled once (*without replacement*) or
 /// multiple times (*with replacement*).
 ///
-/// [`sample_axis`]: trait.RandomExt.html#tymethod.sample_axis
-/// [`sample_axis_using`]: trait.RandomExt.html#tymethod.sample_axis_using
+/// [`sample_axis`]: RandomExt::sample_axis
+/// [`sample_axis_using`]: RandomExt::sample_axis_using
 #[derive(Debug, Clone)]
 pub enum SamplingStrategy {
     WithReplacement,

src/data_repr.rs

@@ -11,7 +11,7 @@ use rawpointer::PointerExt;
 /// Array's representation.
 ///
 /// *Don’t use this type directly—use the type alias
-/// [`Array`](type.Array.html) for the array type!*
+/// [`Array`](crate::Array) for the array type!*
 // Like a Vec, but with non-unique ownership semantics
 //
 // repr(C) to make it transmutable OwnedRepr<A> -> OwnedRepr<B> if

src/dimension/dim.rs

@@ -18,7 +18,7 @@ use crate::Ix;
 /// `Dim` describes the number of axes and the length of each axis
 /// in an array. It is also used as an index type.
 ///
-/// See also the [`Dimension` trait](trait.Dimension.html) for its methods and
+/// See also the [`Dimension`] trait for its methods and
 /// operations.
 ///
 /// # Examples

src/doc/ndarray_for_numpy_users/mod.rs

@@ -23,7 +23,7 @@
 //!
 //! # Similarities
 //!
-//! `ndarray`'s array type ([`ArrayBase`][ArrayBase]), is very similar to
+//! `ndarray`'s array type ([`ArrayBase`]), is very similar to
 //! NumPy's array type (`numpy.ndarray`):
 //!
 //! * Arrays have a single element type.
@@ -70,12 +70,12 @@
 //! </td>
 //! <td>
 //!
-//! In `ndarray`, all arrays are instances of [`ArrayBase`][ArrayBase], but
-//! `ArrayBase` is generic over the ownership of the data. [`Array`][Array]
-//! owns its data; [`ArrayView`][ArrayView] is a view;
-//! [`ArrayViewMut`][ArrayViewMut] is a mutable view; [`CowArray`][CowArray]
+//! In `ndarray`, all arrays are instances of [`ArrayBase`], but
+//! `ArrayBase` is generic over the ownership of the data. [`Array`]
+//! owns its data; [`ArrayView`] is a view;
+//! [`ArrayViewMut`] is a mutable view; [`CowArray`]
 //! either owns its data or is a view (with copy-on-write mutation of the view
-//! variant); and [`ArcArray`][ArcArray] has a reference-counted pointer to its
+//! variant); and [`ArcArray`] has a reference-counted pointer to its
 //! data (with copy-on-write mutation). Arrays and views follow Rust's aliasing
 //! rules.
 //!
@@ -91,7 +91,7 @@
 //! <td>
 //!
 //! In `ndarray`, you can create fixed-dimension arrays, such as
-//! [`Array2`][Array2]. This takes advantage of the type system to help you
+//! [`Array2`]. This takes advantage of the type system to help you
 //! write correct code and also avoids small heap allocations for the shape and
 //! strides.
 //!
@@ -263,7 +263,7 @@
 //! Note that [`a.shape()`][.shape()], [`a.dim()`][.dim()], and
 //! [`a.raw_dim()`][.raw_dim()] all return the shape of the array, but as
 //! different types. `a.shape()` returns the shape as `&[Ix]`, (where
-//! [`Ix`][Ix] is `usize`) which is useful for general operations on the shape.
+//! [`Ix`] is `usize`) which is useful for general operations on the shape.
 //! `a.dim()` returns the shape as `D::Pattern`, which is useful for
 //! pattern-matching shapes. `a.raw_dim()` returns the shape as `D`, which is
 //! useful for creating other arrays of the same shape.
@@ -376,7 +376,7 @@
 //!
 //! </td><td>
 //!
-//! [`a * b`, `a + b`, etc.](../../struct.ArrayBase.html#arithmetic-operations)
+//! [`a * b`, `a + b`, etc.](ArrayBase#arithmetic-operations)
 //!
 //! </td><td>
 //!
@@ -540,17 +540,17 @@
 //! ## Iteration
 //!
 //! `ndarray` has lots of interesting iterators/producers that implement the
-//! [`NdProducer`][NdProducer] trait, which is a generalization of `Iterator`
+//! [`NdProducer`](crate::NdProducer) trait, which is a generalization of `Iterator`
 //! to multiple dimensions. This makes it possible to correctly and efficiently
 //! zip together slices/subviews of arrays in multiple dimensions with
-//! [`Zip`][Zip] or [`azip!()`][azip!]. The purpose of this is similar to
+//! [`Zip`] or [`azip!()`]. The purpose of this is similar to
 //! [`np.nditer`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.html),
-//! but [`Zip`][Zip] is implemented and used somewhat differently.
+//! but [`Zip`] is implemented and used somewhat differently.
 //!
 //! This table lists some of the iterators/producers which have a direct
 //! equivalent in NumPy. For a more complete introduction to producers and
 //! iterators, see [*Loops, Producers, and
-//! Iterators*](../../struct.ArrayBase.html#loops-producers-and-iterators).
+//! Iterators*](ArrayBase#loops-producers-and-iterators).
 //! Note that there are also variants of these iterators (with a `_mut` suffix)
 //! that yield `ArrayViewMut` instead of `ArrayView`.
 //!
@@ -570,88 +570,75 @@
 //! `a[:,4]` | [`a.column(4)`][.column()] or [`a.column_mut(4)`][.column_mut()] | view (or mutable view) of column 4 in a 2-D array
 //! `a.shape[0] == a.shape[1]` | [`a.is_square()`][.is_square()] | check if the array is square
 //!
-//! [.abs_diff_eq()]: ../../struct.ArrayBase.html#impl-AbsDiffEq<ArrayBase<S2%2C%20D>>
-//! [ArcArray]: ../../type.ArcArray.html
-//! [arr2()]: ../../fn.arr2.html
-//! [array!]: ../../macro.array.html
-//! [Array]: ../../type.Array.html
-//! [Array2]: ../../type.Array2.html
-//! [ArrayBase]: ../../struct.ArrayBase.html
-//! [ArrayView]: ../../type.ArrayView.html
-//! [ArrayViewMut]: ../../type.ArrayViewMut.html
-//! [.assign()]: ../../struct.ArrayBase.html#method.assign
-//! [.axis_iter()]: ../../struct.ArrayBase.html#method.axis_iter
-//! [azip!]: ../../macro.azip.html
-//! [.ncols()]: ../../struct.ArrayBase.html#method.ncols
-//! [.column()]: ../../struct.ArrayBase.html#method.column
-//! [.column_mut()]: ../../struct.ArrayBase.html#method.column_mut
-//! [concatenate!]: ../../macro.concatenate.html
-//! [concatenate()]: ../../fn.concatenate.html
-//! [CowArray]: ../../type.CowArray.html
-//! [::default()]: ../../struct.ArrayBase.html#method.default
-//! [.diag()]: ../../struct.ArrayBase.html#method.diag
-//! [.dim()]: ../../struct.ArrayBase.html#method.dim
-//! [::eye()]: ../../struct.ArrayBase.html#method.eye
-//! [.fill()]: ../../struct.ArrayBase.html#method.fill
-//! [.fold()]: ../../struct.ArrayBase.html#method.fold
-//! [.fold_axis()]: ../../struct.ArrayBase.html#method.fold_axis
-//! [::from_elem()]: ../../struct.ArrayBase.html#method.from_elem
-//! [::from_iter()]: ../../struct.ArrayBase.html#method.from_iter
-//! [::from_diag()]: ../../struct.ArrayBase.html#method.from_diag
-//! [::from_shape_fn()]: ../../struct.ArrayBase.html#method.from_shape_fn
-//! [::from_shape_vec()]: ../../struct.ArrayBase.html#method.from_shape_vec
-//! [::from_shape_vec_unchecked()]: ../../struct.ArrayBase.html#method.from_shape_vec_unchecked
-//! [::from_vec()]: ../../struct.ArrayBase.html#method.from_vec
-//! [.index()]: ../../struct.ArrayBase.html#impl-Index<I>
-//! [.indexed_iter()]: ../../struct.ArrayBase.html#method.indexed_iter
-//! [.insert_axis()]: ../../struct.ArrayBase.html#method.insert_axis
-//! [.is_empty()]: ../../struct.ArrayBase.html#method.is_empty
-//! [.is_square()]: ../../struct.ArrayBase.html#method.is_square
-//! [.iter()]: ../../struct.ArrayBase.html#method.iter
-//! [Ix]: ../../type.Ix.html
-//! [.len()]: ../../struct.ArrayBase.html#method.len
-//! [.len_of()]: ../../struct.ArrayBase.html#method.len_of
-//! [::linspace()]: ../../struct.ArrayBase.html#method.linspace
-//! [::logspace()]: ../../struct.ArrayBase.html#method.logspace
-//! [::geomspace()]: ../../struct.ArrayBase.html#method.geomspace
-//! [.map()]: ../../struct.ArrayBase.html#method.map
-//! [.map_axis()]: ../../struct.ArrayBase.html#method.map_axis
-//! [.map_inplace()]: ../../struct.ArrayBase.html#method.map_inplace
-//! [.mapv()]: ../../struct.ArrayBase.html#method.mapv
-//! [.mapv_inplace()]: ../../struct.ArrayBase.html#method.mapv_inplace
-//! [.mapv_into()]: ../../struct.ArrayBase.html#method.mapv_into
-//! [matrix-* dot]: ../../struct.ArrayBase.html#method.dot-1
-//! [.mean()]: ../../struct.ArrayBase.html#method.mean
-//! [.mean_axis()]: ../../struct.ArrayBase.html#method.mean_axis
-//! [.ndim()]: ../../struct.ArrayBase.html#method.ndim
-//! [NdProducer]: ../../trait.NdProducer.html
-//! [::ones()]: ../../struct.ArrayBase.html#method.ones
-//! [.outer_iter()]: ../../struct.ArrayBase.html#method.outer_iter
-//! [::range()]: ../../struct.ArrayBase.html#method.range
-//! [.raw_dim()]: ../../struct.ArrayBase.html#method.raw_dim
-//! [.reversed_axes()]: ../../struct.ArrayBase.html#method.reversed_axes
-//! [.row()]: ../../struct.ArrayBase.html#method.row
-//! [.row_mut()]: ../../struct.ArrayBase.html#method.row_mut
-//! [.nrows()]: ../../struct.ArrayBase.html#method.nrows
-//! [s!]: ../../macro.s.html
-//! [.sum()]: ../../struct.ArrayBase.html#method.sum
-//! [.slice()]: ../../struct.ArrayBase.html#method.slice
-//! [.slice_axis()]: ../../struct.ArrayBase.html#method.slice_axis
-//! [.slice_collapse()]: ../../struct.ArrayBase.html#method.slice_collapse
-//! [.slice_move()]: ../../struct.ArrayBase.html#method.slice_move
-//! [.slice_mut()]: ../../struct.ArrayBase.html#method.slice_mut
-//! [.shape()]: ../../struct.ArrayBase.html#method.shape
-//! [stack!]: ../../macro.stack.html
-//! [stack()]: ../../fn.stack.html
-//! [.strides()]: ../../struct.ArrayBase.html#method.strides
-//! [.index_axis()]: ../../struct.ArrayBase.html#method.index_axis
-//! [.sum_axis()]: ../../struct.ArrayBase.html#method.sum_axis
-//! [.t()]: ../../struct.ArrayBase.html#method.t
-//! [vec-* dot]: ../../struct.ArrayBase.html#method.dot
-//! [.for_each()]: ../../struct.ArrayBase.html#method.for_each
-//! [::zeros()]: ../../struct.ArrayBase.html#method.zeros
-//! [Zip]: ../../struct.Zip.html
+//! [.abs_diff_eq()]: ArrayBase#impl-AbsDiffEq<ArrayBase<S2%2C%20D>>
+//! [.assign()]: ArrayBase::assign
+//! [.axis_iter()]: ArrayBase::axis_iter
+//! [.ncols()]: ArrayBase::ncols
+//! [.column()]: ArrayBase::column
+//! [.column_mut()]: ArrayBase::column_mut
+//! [concatenate()]: crate::concatenate()
+//! [::default()]: ArrayBase::default
+//! [.diag()]: ArrayBase::diag
+//! [.dim()]: ArrayBase::dim
+//! [::eye()]: ArrayBase::eye
+//! [.fill()]: ArrayBase::fill
+//! [.fold()]: ArrayBase::fold
+//! [.fold_axis()]: ArrayBase::fold_axis
+//! [::from_elem()]: ArrayBase::from_elem
+//! [::from_iter()]: ArrayBase::from_iter
+//! [::from_diag()]: ArrayBase::from_diag
+//! [::from_shape_fn()]: ArrayBase::from_shape_fn
+//! [::from_shape_vec()]: ArrayBase::from_shape_vec
+//! [::from_shape_vec_unchecked()]: ArrayBase::from_shape_vec_unchecked
+//! [::from_vec()]: ArrayBase::from_vec
+//! [.index()]: ArrayBase#impl-Index<I>
+//! [.indexed_iter()]: ArrayBase::indexed_iter
+//! [.insert_axis()]: ArrayBase::insert_axis
+//! [.is_empty()]: ArrayBase::is_empty
+//! [.is_square()]: ArrayBase::is_square
+//! [.iter()]: ArrayBase::iter
+//! [.len()]: ArrayBase::len
+//! [.len_of()]: ArrayBase::len_of
+//! [::linspace()]: ArrayBase::linspace
+//! [::logspace()]: ArrayBase::logspace
+//! [::geomspace()]: ArrayBase::geomspace
+//! [.map()]: ArrayBase::map
+//! [.map_axis()]: ArrayBase::map_axis
+//! [.map_inplace()]: ArrayBase::map_inplace
+//! [.mapv()]: ArrayBase::mapv
+//! [.mapv_inplace()]: ArrayBase::mapv_inplace
+//! [.mapv_into()]: ArrayBase::mapv_into
+//! [matrix-* dot]: ArrayBase::dot-1
+//! [.mean()]: ArrayBase::mean
+//! [.mean_axis()]: ArrayBase::mean_axis
+//! [.ndim()]: ArrayBase::ndim
+//! [::ones()]: ArrayBase::ones
+//! [.outer_iter()]: ArrayBase::outer_iter
+//! [::range()]: ArrayBase::range
+//! [.raw_dim()]: ArrayBase::raw_dim
+//! [.reversed_axes()]: ArrayBase::reversed_axes
+//! [.row()]: ArrayBase::row
+//! [.row_mut()]: ArrayBase::row_mut
+//! [.nrows()]: ArrayBase::nrows
+//! [.sum()]: ArrayBase::sum
+//! [.slice()]: ArrayBase::slice
+//! [.slice_axis()]: ArrayBase::slice_axis
+//! [.slice_collapse()]: ArrayBase::slice_collapse
+//! [.slice_move()]: ArrayBase::slice_move
+//! [.slice_mut()]: ArrayBase::slice_mut
+//! [.shape()]: ArrayBase::shape
+//! [stack()]: crate::stack()
+//! [.strides()]: ArrayBase::strides
+//! [.index_axis()]: ArrayBase::index_axis
+//! [.sum_axis()]: ArrayBase::sum_axis
+//! [.t()]: ArrayBase::t
+//! [vec-* dot]: ArrayBase::dot
+//! [.for_each()]: ArrayBase::for_each
+//! [::zeros()]: ArrayBase::zeros
+//! [`Zip`]: crate::Zip
 
 pub mod coord_transform;
 pub mod rk_step;
 pub mod simple_math;
+
+use crate::imp_prelude::*; // for intra-doc links

src/doc/ndarray_for_numpy_users/rk_step.rs

@@ -120,10 +120,10 @@
 //! * Don't return a newly allocated `f_new` array. If the caller wants this
 //!   information, they can get it from the last row of `k`.
 //!
-//! * Use [`c.mul_add(h, t)`][f64.mul_add()] instead of `t + c * h`. This is
+//! * Use [`c.mul_add(h, t)`](f64::mul_add) instead of `t + c * h`. This is
 //!   faster and reduces the floating-point error. It might also be beneficial
-//!   to use [`.scaled_add()`][.scaled_add()] or a combination of
-//!   [`azip!()`][azip!] and [`.mul_add()`][f64.mul_add()] on the arrays in
+//!   to use [`.scaled_add()`] or a combination of
+//!   [`azip!()`] and [`.mul_add()`](f64::mul_add) on the arrays in
 //!   some places, but that's not demonstrated in the example below.
 //!
 //! ```
@@ -168,9 +168,7 @@
 //! # fn main() { let _ = rk_step::<fn(_, ArrayView1<'_, f64>, ArrayViewMut1<'_, f64>)>; }
 //! ```
 //!
-//! [f64.mul_add()]: https://doc.rust-lang.org/std/primitive.f64.html#method.mul_add
-//! [.scaled_add()]: ../../../struct.ArrayBase.html#method.scaled_add
-//! [azip!]: ../../../macro.azip.html
+//! [`.scaled_add()`]: crate::ArrayBase::scaled_add
 //!
 //! ### SciPy license
 //!

src/free_functions.rs

@@ -14,7 +14,7 @@ use alloc::vec::Vec;
 use crate::imp_prelude::*;
 use crate::{dimension, ArcArray1, ArcArray2};
 
-/// Create an [**`Array`**](type.Array.html) with one, two or
+/// Create an **[`Array`]** with one, two or
 /// three dimensions.
 ///
 /// ```

src/impl_constructors.rs

@@ -269,7 +269,7 @@ macro_rules! size_of_shape_checked_unwrap {
 /// column major (“f” order) memory layout instead of the default row major.
 /// For example `Array::zeros((5, 6).f())` makes a column major 5 × 6 array.
 ///
-/// Use [`IxDyn`](type.IxDyn.html) for the shape to create an array with dynamic
+/// Use [`type@IxDyn`] for the shape to create an array with dynamic
 /// number of axes.
 ///
 /// Finally, the few constructors that take a completely general

src/impl_cow.rs

@@ -11,8 +11,6 @@ use crate::imp_prelude::*;
 /// Methods specific to `CowArray`.
 ///
 /// ***See also all methods for [`ArrayBase`]***
-///
-/// [`ArrayBase`]: struct.ArrayBase.html
 impl<'a, A, D> CowArray<'a, A, D>
 where
     D: Dimension,

src/impl_methods.rs

@@ -179,7 +179,7 @@ where
     /// If the input array is contiguous, then the output array will have the same
     /// memory layout. Otherwise, the layout of the output array is unspecified.
     /// If you need a particular layout, you can allocate a new array with the
-    /// desired memory layout and [`.assign()`](#method.assign) the data.
+    /// desired memory layout and [`.assign()`](Self::assign) the data.
     /// Alternatively, you can collectan iterator, like this for a result in
     /// standard layout:
     ///
@@ -400,7 +400,7 @@ where
     ///
     /// Iterator element type is `(D::Pattern, &A)`.
     ///
-    /// See also [`Zip::indexed`](struct.Zip.html)
+    /// See also [`Zip::indexed`]
     pub fn indexed_iter(&self) -> IndexedIter<'_, A, D>
     where
         S: Data,
@@ -544,9 +544,9 @@ where
     /// collapsed, as in [`.collapse_axis()`], rather than removed, as in
     /// [`.slice_move()`] or [`.index_axis_move()`].
     ///
-    /// [`.collapse_axis()`]: #method.collapse_axis
-    /// [`.slice_move()`]: #method.slice_move
-    /// [`.index_axis_move()`]: #method.index_axis_move
+    /// [`.collapse_axis()`]: Self::collapse_axis
+    /// [`.slice_move()`]: Self::slice_move
+    /// [`.index_axis_move()`]: Self::index_axis_move
     ///
     /// See [*Slicing*](#slicing) for full documentation.
     /// See also [`s!`], [`SliceArg`], and [`SliceInfo`](crate::SliceInfo).
@@ -916,7 +916,7 @@ where
 
     /// Collapses the array to `index` along the axis and removes the axis.
     ///
-    /// See [`.index_axis()`](#method.index_axis) and [*Subviews*](#subviews) for full documentation.
+    /// See [`.index_axis()`](Self::index_axis) and [*Subviews*](#subviews) for full documentation.
     ///
     /// **Panics** if `axis` or `index` is out of bounds.
     pub fn index_axis_move(mut self, axis: Axis, index: usize) -> ArrayBase<S, D::Smaller>