January 02, 2014
On Thursday, 2 January 2014 at 11:20:32 UTC, Jacob Carlborg wrote:
> On 2014-01-01 22:54, Cooler wrote:
>> Example in C++:
>>   set<int> uniqueInts;
>>   assert(uniqueInts.count(99) == 0);
>>   uniqueInts.insert(99);
>>   assert(uniqueInts.count(99) == 1);
>>   uniqueInts.erase(99);
>>   assert(uniqueInts.count(99) == 0);
>>
>> Which it will be analogue solution in D?
>>
>> I need a collection that can hold number of items, and can tell me
>> weather is an item in the collection or not. I found that RedBlackTree
>> can help me. But RedBlackTree uses O(log(n)) time for insert/remove
>> operations. On the other hand we have built-in associative arrays with
>> hashed keys. But associative arrays requires pairs of (key, value),
>> which is quite wasting in my case.
>> May be it will be convenient to allow void[key] built-in collections?
>> Any suggestion?
>
> Tango contains collection, among the a hash set:
>
> http://siegelord.github.io/Tango-D2/tango.util.container.HashSet.html
> https://github.com/SiegeLord/Tango-D2

Why do not include this to Phobos?
January 02, 2014
On 1/2/14, Cooler <kulkin@hotbox.ru> wrote:
> Interesting... What is a profit of this solution over simple bool[int]?

AFAIK it will make the druntime hashes avoid allocating memory for the value type, because:

assert(bool.sizeof == 1);
assert((void[0]).sizeof == 0);

Note that void[0] is different from void[], as the latter is really two size_t types in a struct.
January 02, 2014
On Thursday, 2 January 2014 at 11:29:41 UTC, Cooler wrote:
> On Thursday, 2 January 2014 at 11:20:32 UTC, Jacob Carlborg wrote:
>> On 2014-01-01 22:54, Cooler wrote:
>>> Example in C++:
>>>  set<int> uniqueInts;
>>>  assert(uniqueInts.count(99) == 0);
>>>  uniqueInts.insert(99);
>>>  assert(uniqueInts.count(99) == 1);
>>>  uniqueInts.erase(99);
>>>  assert(uniqueInts.count(99) == 0);
>>>
>>> Which it will be analogue solution in D?
>>>
>>> I need a collection that can hold number of items, and can tell me
>>> weather is an item in the collection or not. I found that RedBlackTree
>>> can help me. But RedBlackTree uses O(log(n)) time for insert/remove
>>> operations. On the other hand we have built-in associative arrays with
>>> hashed keys. But associative arrays requires pairs of (key, value),
>>> which is quite wasting in my case.
>>> May be it will be convenient to allow void[key] built-in collections?
>>> Any suggestion?
>>
>> Tango contains collection, among the a hash set:
>>
>> http://siegelord.github.io/Tango-D2/tango.util.container.HashSet.html
>> https://github.com/SiegeLord/Tango-D2
>
> Why do not include this to Phobos?

Licensing problems.
January 02, 2014
On Thursday, 2 January 2014 at 12:18:37 UTC, Andrej Mitrovic wrote:
> On 1/2/14, Cooler <kulkin@hotbox.ru> wrote:
>> Interesting... What is a profit of this solution over simple
>> bool[int]?
>
> AFAIK it will make the druntime hashes avoid allocating memory for the
> value type, because:
>
> assert(bool.sizeof == 1);
> assert((void[0]).sizeof == 0);
>
> Note that void[0] is different from void[], as the latter is really
> two size_t types in a struct.

As I understand any type can be used instead of void, because assert((bool[0]).sizeof == 0). Correct?
January 02, 2014
On 1/2/14, Cooler <kulkin@hotbox.ru> wrote:
> As I understand any type can be used instead of void, because
> assert((bool[0]).sizeof == 0). Correct?

Yes, the only reason void was there was to make it more documenting.
January 02, 2014
On Thursday, 2 January 2014 at 00:22:14 UTC, Raphaël Jakse wrote:
> Le 01/01/2014 22:54, Cooler a écrit :
>> Example in C++:
>>   set<int> uniqueInts;
>>   assert(uniqueInts.count(99) == 0);
>>   uniqueInts.insert(99);
>>   assert(uniqueInts.count(99) == 1);
>>   uniqueInts.erase(99);
>>   assert(uniqueInts.count(99) == 0);
>>
>> Which it will be analogue solution in D?
>>
>> I need a collection that can hold number of items, and can tell me
>> weather is an item in the collection or not. I found that RedBlackTree
>> can help me. But RedBlackTree uses O(log(n)) time for insert/remove
>> operations. On the other hand we have built-in associative arrays with
>> hashed keys. But associative arrays requires pairs of (key, value),
>> which is quite wasting in my case.
>> May be it will be convenient to allow void[key] built-in collections?
>> Any suggestion?
>
> Hello,
>
> I don't know if it fits with your needs, but I just pushed a library for handling sets I wrote months ago.
>
> It supports basic operations like adding, removing, testing the presence of an object in the set, intersection, union, powerset, difference, symmetric difference.
>
> Sets can be untyped (it accepts elements of any type) or typed (more efficient, accepts only elements of a given type like int).
>
> If I'm not mistaken, complexity of insertion, presence checking and removal is O(1).
>
> You can get it here:
>
> 		https://gitorious.org/set/set/
>
> Feel free to ask question, make suggestions... if you have any.
>
> Example of code:
>
>     import std.stdio;
>     import std.conv;
>     import set;
>
>     void main() {
>         auto S = new Set!();
>         S.add("hello");
>         S.add(42);
>         writeln(S);
>         writeln("has 42? ", S.contains(42));
>         writeln("has \"42\"? ", S.contains("42"));
>         writeln("has \"hello\"? ", S.contains("hello"));
>         S.remove("hello");
>         writeln(S);
>         writeln("has \"hello\"? ", S.contains("hello"));
>         writeln("address of 42 : ", S.addressOf(42));
>
>         auto E = new Set!int([1,2,3,4]); // it is possible to declare an empty set
>         auto F = new Set!int([3,4,5,6]); // of int like this: auto G = new Set!int;
>
>         writeln("union: ", E.Union(F));
>         writeln("inter: ", E.Inter(F));
>         writeln("symmetric difference: ", E.SymDiff(F));
>         writeln("minus: ", E.Minus(F));
>         writeln("Powerset: ", E.Powerset);
>
>         S.UnionInPlace(E);
>         writeln("Union in place: ", S);
>
>         // lets iterate over elements:
>         foreach (element ; S) {
>             write(element);
>
>             // beware, because S is an untyped set (Set!() or Set!Object),
>             // type of element is Element.
>             // If you want the real value, cast to Element!the_type_of_your_element
>             // and access to the e property of the class.
>
>             auto el = cast(Element!int)(element);
>             write(" (", el.e, ") ");
>
>             // el.e is an int
>             // Note that this works only because the only remaining values in S
>             // are integer values. If another type were present in the set, we
>             // would experience a segmentation fault.
>         }
>         writeln();
>     }
>
> Expected output:
>
>     {hello, 42}
>     has 42? true
>     has "42"? false
>     has "hello"? true
>     {42}
>     has "hello"? false
>     address of 42 : 7F9323979F60
>     union: {4, 1, 5, 2, 6, 3}
>     inter: {4, 3}
>     symmetric difference: {1, 5, 2, 6}
>     minus: {1, 2}
>     Powerset: {{}, {4}, {1, 3}, {4, 1, 3}, {1}, {4, 1}, {2, 3}, {4, 2, 3}, {2}, {4, 2}, {1, 2, 3}, {4, 1, 2, 3}, {1, 2}, {4, 1, 2}, {3}, {4, 3}}
>     Union in place: {4, 1, 42, 2, 3}
>     4 (4) 1 (1) 42 (42) 2 (2) 3 (3)
>
> Should Phobos have something similar built in?
>
> Happy new year to everyone,
> Raphaël.

Is there any reason not to use Phobos Tuple? :)
January 02, 2014
On 01/02/2014 09:09 AM, Raphaël Jakse wrote:
> I'm going to add this.
> Two questions:
>   - By default, should set be typed or untyped?
>     I would go for typed set, but what about people's expectations?
>   - What is preferable: first version or second version of the proposed
> set factory function? (imho both cannot co-exist because of sets of
> arrays handling)
>      * The first version allows creation of a set from a array. That is
> already possible with the constructor, but then you have to pass the
> type template, this is not beautiful.
>      * The second version is more pretty. But then, we'll need a
> setFromArray function which makes a set from a list.
>     I prefer the second option, but then, set([1, 2, 3, 4]) would make a
> set containing on element: an array of four ints. Could this be misleading?

Use a typesafe variadic function.

http://dlang.org/function.html#variadic
https://d.puremagic.com/issues/show_bug.cgi?id=11657
January 03, 2014
Le 02/01/2014 16:00, Dejan Lekic a écrit :
> On Thursday, 2 January 2014 at 00:22:14 UTC, Raphaël Jakse wrote:
>> Le 01/01/2014 22:54, Cooler a écrit :
>>> Example in C++:
>>>   set<int> uniqueInts;
>>>   assert(uniqueInts.count(99) == 0);
>>>   uniqueInts.insert(99);
>>>   assert(uniqueInts.count(99) == 1);
>>>   uniqueInts.erase(99);
>>>   assert(uniqueInts.count(99) == 0);
>>>
>>> Which it will be analogue solution in D?
>>>
>>> I need a collection that can hold number of items, and can tell me
>>> weather is an item in the collection or not. I found that RedBlackTree
>>> can help me. But RedBlackTree uses O(log(n)) time for insert/remove
>>> operations. On the other hand we have built-in associative arrays with
>>> hashed keys. But associative arrays requires pairs of (key, value),
>>> which is quite wasting in my case.
>>> May be it will be convenient to allow void[key] built-in collections?
>>> Any suggestion?
>>
>> Hello,
>>
>> I don't know if it fits with your needs, but I just pushed a library
>> for handling sets I wrote months ago.
>>
>> It supports basic operations like adding, removing, testing the
>> presence of an object in the set, intersection, union, powerset,
>> difference, symmetric difference.
>>
>> Sets can be untyped (it accepts elements of any type) or typed (more
>> efficient, accepts only elements of a given type like int).
>>
>> If I'm not mistaken, complexity of insertion, presence checking and
>> removal is O(1).
>>
>> You can get it here:
>>
>>         https://gitorious.org/set/set/
>>
>> Feel free to ask question, make suggestions... if you have any.
>>
>> Example of code:
>>
>>     import std.stdio;
>>     import std.conv;
>>     import set;
>>
>>     void main() {
>>         auto S = new Set!();
>>         S.add("hello");
>>         S.add(42);
>>         writeln(S);
>>         writeln("has 42? ", S.contains(42));
>>         writeln("has \"42\"? ", S.contains("42"));
>>         writeln("has \"hello\"? ", S.contains("hello"));
>>         S.remove("hello");
>>         writeln(S);
>>         writeln("has \"hello\"? ", S.contains("hello"));
>>         writeln("address of 42 : ", S.addressOf(42));
>>
>>         auto E = new Set!int([1,2,3,4]); // it is possible to declare
>> an empty set
>>         auto F = new Set!int([3,4,5,6]); // of int like this: auto G =
>> new Set!int;
>>
>>         writeln("union: ", E.Union(F));
>>         writeln("inter: ", E.Inter(F));
>>         writeln("symmetric difference: ", E.SymDiff(F));
>>         writeln("minus: ", E.Minus(F));
>>         writeln("Powerset: ", E.Powerset);
>>
>>         S.UnionInPlace(E);
>>         writeln("Union in place: ", S);
>>
>>         // lets iterate over elements:
>>         foreach (element ; S) {
>>             write(element);
>>
>>             // beware, because S is an untyped set (Set!() or
>> Set!Object),
>>             // type of element is Element.
>>             // If you want the real value, cast to
>> Element!the_type_of_your_element
>>             // and access to the e property of the class.
>>
>>             auto el = cast(Element!int)(element);
>>             write(" (", el.e, ") ");
>>
>>             // el.e is an int
>>             // Note that this works only because the only remaining
>> values in S
>>             // are integer values. If another type were present in the
>> set, we
>>             // would experience a segmentation fault.
>>         }
>>         writeln();
>>     }
>>
>> Expected output:
>>
>>     {hello, 42}
>>     has 42? true
>>     has "42"? false
>>     has "hello"? true
>>     {42}
>>     has "hello"? false
>>     address of 42 : 7F9323979F60
>>     union: {4, 1, 5, 2, 6, 3}
>>     inter: {4, 3}
>>     symmetric difference: {1, 5, 2, 6}
>>     minus: {1, 2}
>>     Powerset: {{}, {4}, {1, 3}, {4, 1, 3}, {1}, {4, 1}, {2, 3}, {4, 2,
>> 3}, {2}, {4, 2}, {1, 2, 3}, {4, 1, 2, 3}, {1, 2}, {4, 1, 2}, {3}, {4, 3}}
>>     Union in place: {4, 1, 42, 2, 3}
>>     4 (4) 1 (1) 42 (42) 2 (2) 3 (3)
>>
>> Should Phobos have something similar built in?
>>
>> Happy new year to everyone,
>> Raphaël.
>
> Is there any reason not to use Phobos Tuple? :)

My ignorance. Fixed, thanks ;-)

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