ikod-containers ~master
containers library
To use this package, run the following command in your project's root directory:
Manual usage
Put the following dependency into your project's dependences section:
ikod-containers
You can find generated docs for containers on githubio or on dpldocs.
HashMap
Differences from D associated arrays:
- HashMap itself is a struct and a value (not a reference), so any assignment
map2 = map1
will copy all the data frommap1
tomap2
. - HashMap has a deprecated "in" operator. Since a pointer to the value in a table is highly unsafe (as the location of the stored value can change upon mutation), use
fetch
to test the key existence and fetch its value in a single API call intead ofin
. - Any method from
get
family returns a value stored in a table, and never - a pointer. It is safe.
Advantages:
- Faster speed, as it does not allocate on every insert and has optimized storage layout.
- It inherits
@nogc
and@safe
properties from key and value types, so it can be used in@safe
and@nogc
code. Note:opIndex
can throw exception so it's not@nogc
in any case (usefetch
orget
with default value if you need@nogc
) - Provides a stable iteration over the container (you can modify/delete table items while iterating over it).
You cah find HashMap API docs here
code sample
import std.range;
import std.algorithm;
import ikod.containers.hashmap;
static string[] words =
[
"hello", "this", "simple", "example", "should", "succeed", "or", "it",
"should", "fail"
];
void main() @safe @nogc
{
HashMap!(string, int) counter;
// count words, simplest and fastest way
foreach (word; words) {
counter[word] = counter.getOrAdd(word, 0) + 1; // getOrAdd() return the value from the table or add it to the table
}
assert(counter.fetch("hello").ok); // fetch() is a replacement to "in": you get "ok" if the key exists in the table
assert(counter.fetch("hello").value == 1); // and the value itself
debug assert(counter["hello"] == 1); // opIndex is not @nogc
debug assert(counter["should"] == 2); // opIndex is not @nogc
assert(counter.contains("hello")); // checks the key existence
assert(counter.length == words.length - 1); // because "should" counts only once
// iterators
assert(counter.byKey.count == counter.byValue.count);
assert(words.all!(w => counter.contains(w))); // all words in table
assert(counter.byValue.sum == words.length); // sum of counters must equal to the number of words
}
UnrolledList
From Wikipedia, the free encyclopedia [*]
In computer programming, an unrolled linked list is a variation on the linked list which stores multiple elements in each node. It can dramatically increase cache performance, while decreasing the memory overhead associated with storing list metadata such as references. It is related to the B-tree.
Advantages:
- Fast, cache-friendly.
- @nogc, @safe.
- Sane iterators (unstable and stable iterators are supported).
See docs here
code sample
import std.algorithm: equal;
import std.range: iota;
import ikod.containers.unrolledlist: UnrolledList;
void main() @safe @nogc
{
UnrolledList!int l;
// add items
foreach(i; 2..50)
{
l.pushBack(i); // push back
}
l.pushFront(0); // push front
l.insert(1,1); // insert value at arbitrary position
// get items
assert(l.front == 0);
assert(l.back == 49);
auto v = l.get(25); // get value at some position. Same as l[25] but @nogc
assert(v.ok);
assert(v.value == 25);
// iterators/ranges
auto r = l.unstableRange();
assert(equal(r, iota(50)));
}
- Registered by Igor Khasilev
- ~master released 3 years ago
- ikod/ikod-containers
- BSL-1
- Copyright © 2019, Igor Khasilev
- Authors:
- Dependencies:
- automem
- Versions:
-
0.0.22 2021-Oct-26 0.0.21 2021-Aug-19 0.0.20 2020-Oct-11 0.0.19 2020-Oct-01 0.0.18 2020-Oct-01 - Download Stats:
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