5 releases
0.1.4 | Jun 21, 2025 |
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0.1.3 | Jun 20, 2025 |
0.1.2 | Jun 18, 2025 |
0.1.1 | Jun 11, 2025 |
0.1.0 | Jun 3, 2025 |
#2003 in Rust patterns
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Used in sux
69KB
1K
SLoC
Traits By Value
Why
Slices are one of the most pervasive types in Rust—and with good reasons. They are lightweight, flexible, and represent a basic data structure, the sequence, AKA random-access list.
The problem with slices is that, by design, they are accessed by reference:
the most used slice trait, Index
, gives a reference to an element of the
slice. While this approach is elegant and makes several compiler optimizations
possible, it also means that slices cannot be used as generic random-access
lists, as access by reference means there must be an actual contiguous segment
of memory locations containing explicit representations
of the elements of the lists. However, there are also different list
representations, such as compressed, succinct, functional, implicit, and so on.
For this reason, this crate provides traits parallel to slices and iterators,
but by value, rather than by reference. SliceByValue
simply specify the type
of values of the slice by value and its length. A SliceByValueGet
provides
methods that are exactly analogous of std::slice::get
and Index::index
,
but return values, rather than references, and are named get_value
and
index_value
instead. The longer names are necessary to avoid ambiguity, as
all slices of cloneable elements implement our by-value traits. It might be argued
RandomAccessList
or Sequence
might be more standard name, but we want to
underline the fact that the read access is closely modeled after slices. Note
that we cannot overload the []
operator, as Index
methods must necessarily
return references.
Write access is a different issue because SliceByValueSet
has necessarily a
completely different setup than IndexMut::index_mut
. We also have a
SliceByValueReplace
trait whose setter return the original value, which
might be more efficient in some circumstances.
Finally, like slices, slices by value can provide subslicing. Subslicing
traits are distinct traits, as you might be contented, for your application, of
(possibly read-only) access to single elements. Similarly to the access to
single elements, you have methods such as get_subslice
and
index_subslice
, which have the same semantics as the corresponding methods
of slices.
The other missing trait contained in this crate is IterateByValue
, which has
the same logic for iterators. Rust has presently no trait specifying that you
can iterate by value on some structure without consuming it as IntoIterator
does. What one usually does is to implement IntoIterator
on a reference,
providing an iterator on references on the elements, which brings back the
problem of constraining such implementations to explicit representations. While
it is possible to implement IntoIterator
in such a way to return values,
many standard types as slices, vectors, etc., already have implementations
returning references, so a different trait is necessary.
Implementing subslices is tricky, so Subslices
is a derive macro that
provides a complete implementation of subslicing for a type that implements
SliceByValueGet
; SubslicesMut
similarly provides a complete
implementation of subslicing for a type that implements SliceByValueSet
and
SliceByValueReplace
. Note that a custom implementation might be more
efficient if your type can directly represent an inner range. Analogous derive
macros Iterators
and IteratorsMut
implement the by-value iteration
traits for the structures created by Subslices
and SubslicesMut
. All
these derive macros are independent to make specialized, more efficient
implementation possible at every step.
One important difference with slices is that iterating subslicing will lead to different types. We could not find any way to express in the current Rust type system the recursive bound that subslices of a subslice should be of the same type. This is not relevant if you pass the subslice to a function that accepts a by-value slice, but it is relevant if you want to assign subslices of different depth to the same variable.
Dependencies
~91KB