import macros
when false:
dumpTree:
type
PMyObj* = ref TMyObj
TMyObj* = object of TObject
a, b : int
proc newTMyObj*() : PMyObj =
var o : PMyObj
new(o)
#initTMyObj(o[])
return o
#proc initTMyObj*(o : var TMyObj) = nil
when false:
proc newTMyObj*() : PMyObj =
var o : PMyObj
new(o)
#initTMyObj(o[])
return o
macro objdecl(clsbase : expr) : stmt =
result = newNimNode(nnkStmtList)#, clsbase)
#for i in 1..clsbase.len-1:
#echo(repr(clsbase[i]))
let clsName = repr(clsbase[1])
let baseName = repr(clsbase[2])
let tname = "T" & clsName
let pname = "P" & clsName
echo("base = " & baseName & ", type = " & tname)
var fields = clsbase[3][0][0] # [0] skip stmt list, [0] skip var section
echo("fields = " & repr(fields))
# start 'type' section
var tsection = newNimNode(nnkTypeSection)
result.add(tsection)
block:
# define 'type' node for Pclass * = ref Tclass
var tnode = newNimNode(nnkTypeDef)
tsection.add(tnode)
# define type name with * operator
var tpostf = newNimNode(nnkPostfix)
tpostf.add(newIdentNode("*"))
tpostf.add(newIdentNode(pname))
tnode.add(tpostf)
# don't know why but need an empty node
tnode.add(newNimNode(nnkEmpty))
# the actual type = ref
var reft = newNimNode(nnkRefTy)
reft.add(newIdentNode(tname))
tnode.add(reft)
block:
# define 'type' node for Tclass * = object of base
var tnode = newNimNode(nnkTypeDef)
tsection.add(tnode)
# define type name with * operator
var tpostf = newNimNode(nnkPostfix)
tpostf.add(newIdentNode("*"))
tpostf.add(newIdentNode(tname))
tnode.add(tpostf)
# don't know why but need an empty node
tnode.add(newNimNode(nnkEmpty))
# the actual type = object of
var objt = newNimNode(nnkObjectTy)
tnode.add(objt)
# needed, don't know why
objt.add(newNimNode(nnkEmpty))
var inh = newNimNode(nnkOfInherit)
objt.add(inh)
inh.add(newIdentNode(baseName))
var recs = newNimNode(nnkRecList)
objt.add(recs)
recs.add(fields)
#var identDefs = newNimNode(nnkIdentDefs)
#recs.add(identDefs)
#identDefs.add(getAST(fields))
#for i in 0..len(fields)-1:
# identDefs.add(fields[i])
# needed, don't know why
#identDefs.add(newNimNode(nnkEmpty))
#echo(fields.len)
echo(treeRepr(tsection))
#echo(repr(tsection))
#tnode.add(new
template declClass(clsName : expr, baseCls : expr, fields : stmt) : stmt =
objdecl(clsName, baseCls, fields)
when false:
#`P clsName`* = ref `T clsName`
#`T clsName`* = object of baseCls
# putfields
proc `new clsName`() : `P clsName` =
var o : `P clsName`
new(o)
return o
# ----- the usage:
declClass MyTempClass, TObject:
var x, y : int
var o = newMyTempClass()
o.x = 3
echo("x,y = " & $o.x & " " & $o.y)
Friday, June 15, 2012
Nimrod macro
So finally some macro stuff in Nimrod programming language I managed to write.
Wednesday, May 23, 2012
Nimrod programming language
Very interesting language, spotted when looking for Vala (generates C code) -)
http://nimrod-code.org/index.html
http://nimrod-code.org/index.html
Tuesday, May 22, 2012
Monday, May 14, 2012
Dangerous C++ preprocessor
It took me three weeks to find this mistake in a huge code base. Program suddenly crashes after the changes that look obviously innocent. And the root of all evil was not memory leaks or so but the #ifdef.
header.h
struct mystruct : somebasestruct {
mystruct();
#ifdef FEATURE_X
int somefield;
#endif
};
module1.cpp
#include ....
#include "header.h"
sizeof(mystruct) = 8
module2.cpp
#include ....
#include "header.h"
sizeof(mystruct) = 4
And guess why? Yes, check building settings, what is defined or not...
header.h
struct mystruct : somebasestruct {
mystruct();
#ifdef FEATURE_X
int somefield;
#endif
};
module1.cpp
#include ....
#include "header.h"
sizeof(mystruct) = 8
module2.cpp
#include ....
#include "header.h"
sizeof(mystruct) = 4
And guess why? Yes, check building settings, what is defined or not...
Tuesday, March 20, 2012
Collision detection, 2d physics
http://gdlinks.hut.ru/cdfaq/
http://www.wildbunny.co.uk/blog/2011/04/20/collision-detection-for-dummies/
http://www.wildbunny.co.uk/blog/2011/05/12/how-to-make-angry-birds-part-1/
http://www.wildbunny.co.uk/blog/2011/04/20/collision-detection-for-dummies/
http://www.wildbunny.co.uk/blog/2011/05/12/how-to-make-angry-birds-part-1/
Monday, March 5, 2012
Panasonic HM-TA2
Absolutely love this mini camcorder! Although there are no manual settings you can adjust except for video resolution (fullhd, 720p25, iFrame) and turn on/off LED light.
iFrame mode produces big files suitable for editing with maximum quality.
I use 720p mode and the video is really awsome clear and detailed when outdoors. Stereo sound quality is also way better than any smartphone's.
I'll publish sample video as soon as something interesting gets into sight.
iFrame mode produces big files suitable for editing with maximum quality.
I use 720p mode and the video is really awsome clear and detailed when outdoors. Stereo sound quality is also way better than any smartphone's.
I'll publish sample video as soon as something interesting gets into sight.
Saturday, February 11, 2012
C++ vs FPC vs Java vs C# benchmarking
There were a lot of microbenchmarks etc. in the net to prove which solution is better -- Java or .NET, yet I decided to write a simple yet useful program (An image processing tool we use in developing games for OpenGL ES devices) and port it to several languages. I've put it into a public repo under
https://github.com/exhu/alimg
My results were so that the fastest solution under Linux was in Java (7 secs), then C++ and FreePascal (11-10 secs average). Yes, C++ slower here, of course you can optimize C++ into unreadable code and get most of the hardware, but the code will be unmaintainable and cryptic, while now it's a balanced solution, and still Java sources are the most user-friendly.
Mono was 4 times slower than Java under Linux (28-30 secs), and .NET was as fast as Java under Windows XP 32-bit under VirtualBox (both do the job for about 17 secs), yet the FreePascal version was even faster than both of them (10 secs -- about the same speed in the VirtualBox as on the real Linux).
Linux:
1) Java (OpenJDK 6)
2) C++, FPC
4) Mono
Windows (under Linux VirtualBox):
1) FPC
2) Java (Oracle Java 6), .NET 4
Assume C++ version would be the fastest under Windows too.
I also need to note that .NET 4 offline installation was rather hard to complete under Windows XP 32-bit SP2, it required several downloads for Windows Installer, Windows Imaging and took 20 minutes to install. Meanwhile Java offline installer (~20 megs) was easy and fast and did not require restarting the OS.
To sum up I would pick FPC for native small to medium applications and Java for cross-platform medium to complex applications. Although Java is surprisingly fast on netbooks it's too memory hungry.
https://github.com/exhu/alimg
My results were so that the fastest solution under Linux was in Java (7 secs), then C++ and FreePascal (11-10 secs average). Yes, C++ slower here, of course you can optimize C++ into unreadable code and get most of the hardware, but the code will be unmaintainable and cryptic, while now it's a balanced solution, and still Java sources are the most user-friendly.
Mono was 4 times slower than Java under Linux (28-30 secs), and .NET was as fast as Java under Windows XP 32-bit under VirtualBox (both do the job for about 17 secs), yet the FreePascal version was even faster than both of them (10 secs -- about the same speed in the VirtualBox as on the real Linux).
Linux:
1) Java (OpenJDK 6)
2) C++, FPC
4) Mono
Windows (under Linux VirtualBox):
1) FPC
2) Java (Oracle Java 6), .NET 4
Assume C++ version would be the fastest under Windows too.
I also need to note that .NET 4 offline installation was rather hard to complete under Windows XP 32-bit SP2, it required several downloads for Windows Installer, Windows Imaging and took 20 minutes to install. Meanwhile Java offline installer (~20 megs) was easy and fast and did not require restarting the OS.
To sum up I would pick FPC for native small to medium applications and Java for cross-platform medium to complex applications. Although Java is surprisingly fast on netbooks it's too memory hungry.
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