## digitalmars.D - Exquisite code samples

- Gor Gyolchanyan (37/37) Jul 09 2012 I've put together a code sample, which could demonstrate the awesome pow...
- Paulo Pinto (9/47) Jul 09 2012 I would not show this to newcomers, as they would probably go
- Gor Gyolchanyan (6/53) Jul 09 2012 You're right. This is a bit advanced code sample, which uses templates,
- renoX (15/18) Jul 10 2012 Hum it show the power of D sure, but IMHO it also show its syntax
- Don Clugston (8/25) Jul 10 2012 Well it used to work vaguely in that way, but it gets very ugly once you...
- renoX (10/46) Jul 17 2012 How about:
- renoX (18/21) Jul 10 2012 Hum it show the power of D sure, but IMHO it also show its syntax
- renoX (16/19) Jul 10 2012 Hum it shows the power of D sure, but IMHO it also shows its
- SomeDude (7/72) Jul 16 2012 At least, with a main() and an input, it would be a bit more
- Tobias Pankrath (3/9) Jul 09 2012 And for people that have no such background the advantages need

I've put together a code sample, which could demonstrate the awesome power of D when it comes to getting good results very quickly and safely. Perhaps it could end up on display for newcomers: import std.traits; /// Returns the t-th point on the bezier curve, defined by non-empty set p of d-dimensional points, where t : [0, 1] and d > 1. real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(t >= 0.0L && t <= 1.0L); } body { return p.length > 1 ? (1 - t) * p[0..$-1].bezier(t) + t * p[1..$].bezier(t) : p[0]; } /// Returns k unidistant points on the bezier curve, defined by non-empty set p of d-dimensional points, where k > 0 and d > 1. real[d][] bezier(size_t d, Number)(Number[d][] p, size_t k) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(k > 0); } body { Number[d][] result = new Number[d][k]; foreach(i; 0..k) result[k] = p.bezier(i * (1.0L / k)); return result; } -- Bye, Gor Gyolchanyan.

Jul 09 2012

On Monday, 9 July 2012 at 11:16:45 UTC, Gor Gyolchanyan wrote:I've put together a code sample, which could demonstrate the awesome power of D when it comes to getting good results very quickly and safely. Perhaps it could end up on display for newcomers: import std.traits; /// Returns the t-th point on the bezier curve, defined by non-empty set p of d-dimensional points, where t : [0, 1] and d > 1. real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(t >= 0.0L && t <= 1.0L); } body { return p.length > 1 ? (1 - t) * p[0..$-1].bezier(t) + t * p[1..$].bezier(t) : p[0]; } /// Returns k unidistant points on the bezier curve, defined by non-empty set p of d-dimensional points, where k > 0 and d > 1. real[d][] bezier(size_t d, Number)(Number[d][] p, size_t k) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(k > 0); } body { Number[d][] result = new Number[d][k]; foreach(i; 0..k) result[k] = p.bezier(i * (1.0L / k)); return result; }I would not show this to newcomers, as they would probably go running for Go. This type of code is quite nice and the reason why I think I am better served with D than Go, but newcomers without strong generic programming background in other languages might get scared. -- Paulo

Jul 09 2012

On Mon, Jul 9, 2012 at 3:30 PM, Paulo Pinto <pjmlp progtools.org> wrote:On Monday, 9 July 2012 at 11:16:45 UTC, Gor Gyolchanyan wrote:You're right. This is a bit advanced code sample, which uses templates, template constraints, contract programming among syntax advantages of D. -- Bye, Gor Gyolchanyan.I've put together a code sample, which could demonstrate the awesome power of D when it comes to getting good results very quickly and safely. Perhaps it could end up on display for newcomers: import std.traits; /// Returns the t-th point on the bezier curve, defined by non-empty set p of d-dimensional points, where t : [0, 1] and d > 1. real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(t >= 0.0L && t <= 1.0L); } body { return p.length > 1 ? (1 - t) * p[0..$-1].bezier(t) + t * p[1..$].bezier(t) : p[0]; } /// Returns k unidistant points on the bezier curve, defined by non-empty set p of d-dimensional points, where k > 0 and d > 1. real[d][] bezier(size_t d, Number)(Number[d][] p, size_t k) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(k > 0); } body { Number[d][] result = new Number[d][k]; foreach(i; 0..k) result[k] = p.bezier(i * (1.0L / k)); return result; }I would not show this to newcomers, as they would probably go running for Go. This type of code is quite nice and the reason why I think I am better served with D than Go, but newcomers without strong generic programming background in other languages might get scared. -- Paulo

Jul 09 2012

On Monday, 9 July 2012 at 11:40:37 UTC, Gor Gyolchanyan wrote: [cut]You're right. This is a bit advanced code sample, which uses templates,template constraints, contract programming among syntax advantages of D.Hum it show the power of D sure, but IMHO it also show its syntax deficiencies.. For me this "real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number)" is difficult to read, and a better syntax would be: real[d] bezier!(size_t d && d > 1, Number && isFloatingPoint!Number)(Number[d][] p, Number t) The template parameter would be indicated in a !() (as in a call), and the template constraints inside the template parameter: this way the template parameters are clearly indicated and separated from the function parameter. renoX

Jul 10 2012

On 10/07/12 09:49, renoX wrote:On Monday, 9 July 2012 at 11:40:37 UTC, Gor Gyolchanyan wrote: [cut]Well it used to work vaguely in that way, but it gets very ugly once you leave the simplest cases. Even that one you've listed is hard for me to read. And the idea that constraints apply to individual parameters is wrong. If you have a constraint that depends on two template parameters, where do you put it? int bezier (int A, int B)(int t) if ( A + B == 10 )You're right. This is a bit advanced code sample, which uses templates,template constraints, contract programming among syntax advantages of D.Hum it show the power of D sure, but IMHO it also show its syntax deficiencies.. For me this "real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number)" is difficult to read, and a better syntax would be: real[d] bezier!(size_t d && d > 1, Number && isFloatingPoint!Number)(Number[d][] p, Number t) The template parameter would be indicated in a !() (as in a call), and the template constraints inside the template parameter: this way the template parameters are clearly indicated and separated from the function parameter. renoX

Jul 10 2012

On Tuesday, 10 July 2012 at 09:24:42 UTC, Don Clugston wrote:On 10/07/12 09:49, renoX wrote:IMHO, the "normal" way is even harder to read..On Monday, 9 July 2012 at 11:40:37 UTC, Gor Gyolchanyan wrote: [cut]Well it used to work vaguely in that way, but it gets very ugly once you leave the simplest cases. Even that one you've listed is hard for me to read.You're right. This is a bit advanced code sample, which uses templates,template constraints, contract programming among syntax advantages of D.Hum it show the power of D sure, but IMHO it also show its syntax deficiencies.. For me this "real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number)" is difficult to read, and a better syntax would be: real[d] bezier!(size_t d && d > 1, Number && isFloatingPoint!Number)(Number[d][] p, Number t) The template parameter would be indicated in a !() (as in a call), and the template constraints inside the template parameter: this way the template parameters are clearly indicated and separated from the function parameter. renoXAnd the idea that constraints apply to individual parameters is wrong. If you have a constraint that depends on two template parameters, where do you put it? int bezier (int A, int B)(int t) if ( A + B == 10 )How about: int bezier!(int A, int B; A + B == 10)(int t) ? I think that grouping together template parameters and constraints helps the readability YMMV. BR, renoX PS: Sorry for the multiple posting, the posting didn't seem to work so I retried..

Jul 17 2012

On Monday, 9 July 2012 at 11:40:37 UTC, Gor Gyolchanyan wrote: [cut]

Jul 10 2012

On Monday, 9 July 2012 at 11:40:37 UTC, Gor Gyolchanyan wrote: [cut]You're right. This is a bit advanced code sample, which uses templates, template constraints, contract programming among syntax advantages of D.Hum it shows the power of D sure, but IMHO it also shows its syntax deficiencies.. For me this "real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number)" is difficult to read, and a better syntax would be for example: real[d] bezier!(size_t d && d > 1, Number && isFloatingPoint!Number)(Number[d][] p, Number t) or: real[d] bezier!(size_t d, Number; d > 1 && isFloatingPoint!Number)(Number[d][] p, Number t) The template parameter would be indicated in a !() (as in a call), and the template constraints inside the template parameter renoX

Jul 10 2012

On Monday, 9 July 2012 at 11:40:37 UTC, Gor Gyolchanyan wrote:On Mon, Jul 9, 2012 at 3:30 PM, Paulo Pinto <pjmlp progtools.org> wrote:At least, with a main() and an input, it would be a bit more interesting and illustrative of the "modeling power" of D than the examples of the http://dlang.org/index.html home page, which are stupid and mostly don't work at all. (even the simplest example gives the ridiculous result of 895 until one manually breaks the input text with carriage returns).On Monday, 9 July 2012 at 11:16:45 UTC, Gor Gyolchanyan wrote:You're right. This is a bit advanced code sample, which uses templates, template constraints, contract programming among syntax advantages of D.I've put together a code sample, which could demonstrate the awesome power of D when it comes to getting good results very quickly and safely. Perhaps it could end up on display for newcomers: import std.traits; /// Returns the t-th point on the bezier curve, defined by non-empty set p of d-dimensional points, where t : [0, 1] and d > 1. real[d] bezier(size_t d, Number)(Number[d][] p, Number t) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(t >= 0.0L && t <= 1.0L); } body { return p.length > 1 ? (1 - t) * p[0..$-1].bezier(t) + t * p[1..$].bezier(t) : p[0]; } /// Returns k unidistant points on the bezier curve, defined by non-empty set p of d-dimensional points, where k > 0 and d > 1. real[d][] bezier(size_t d, Number)(Number[d][] p, size_t k) if(d > 1 && isFloatingPoint!Number) in { assert(p.length > 0); assert(k > 0); } body { Number[d][] result = new Number[d][k]; foreach(i; 0..k) result[k] = p.bezier(i * (1.0L / k)); return result; }I would not show this to newcomers, as they would probably go running for Go. This type of code is quite nice and the reason why I think I am better served with D than Go, but newcomers without strong generic programming background in other languages might get scared. -- Paulo

Jul 16 2012

This type of code is quite nice and the reason why I think I am better served with D than Go, but newcomers without strong generic programming background in other languages might get scared. -- PauloAnd for people that have no such background the advantages need some explanation. It's not obvious, but with some explanation it is a good example.

Jul 09 2012