TBOOX Open Source Project

• Running and debugging program using xmake

  2016-07-25

  xmake

  xmake  symbolfile  run  debug  windbg  ollydbg  windows

  xmake can run and debug the given target program now.

  We only need configure the debug mode to compile this target and run it.

  e.g.

  
  -- enable debug symbols
  if is_mode("debug")
      set_symbols("debug")
  end
  
  -- define target
  target("demo")
      set_kind("kind")
      add_files("src/*.c")
  

  And we compile and run this program with the debug symbols.

  $ xmake f -m debug
  $ xmake r -d demo
  

  It will generate pdb debug symbol files and detect the default debugger automatically on windows. (.e.g vsjitdebugger, windbg, ollydbg …)

  

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• How to complie project using the cross-toolchains

  2016-07-22

  xmake

  xmake  cross-toolchains  cross-compiling

  xmake provides a convenient and flexible cross-compiling support, in most cases, we need not to configure complex toolchains prefix, for example: arm-linux-

  As long as this toolchains meet the following directory structure:

  /home/toolchains_sdkdir
     - bin
         - arm-linux-gcc
         - arm-linux-ld
         - ...
     - lib
         - libxxx.a
     - include
         - xxx.h
  

  Then，we can only configure the sdk directory and build it.

  $ xmake f -p linux --sdk=/home/toolchains_sdkdir
  $ xmake
  

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• The tessellate polygon drawing algorithm

  2016-07-21

  gbox

  gbox  c  tessellate  polygon  algorithm  drawing  monotone  triangulation

  The algorithm is based on libtess2 here and we optimizated some implementation and fixed some bugs.

  The differents between our algorithm and libtess2’s algorithm:

  • We change the coordinate system and the sweep direction (sweep line by horizontal here).
  • We need not project the vertices because our graphic engine is 2d, so our algorithm will be faster.
  • We processed more cases of the intersection with some numerical errors, so our algorithm will be more stable.
  • We change the algorithm of comparing the active edge and make it more stable for numerical errors.
  • We optimizate the algorithm of merging into the convex polygon from the triangulated mesh.
  • We have not counted the vertices for each region, so it will be faster than libtess2.

  (you can see libtess2/alg_outline.md if want to known more details of algorithm.)

  There are four stages to the algorithm:

  1. Build a mesh (DCEL, be similar to quad-edge) from polygon.
  2. Tessellate the mesh into the monotone regions if the polygon is concave.
  3. Triangulate the monotone regions.
  4. Merge the triangulated regions into the convex regions.

  There are seven stages to the tessellation algorithm:

  1. Simplify the mesh and process some degenerate cases.
  2. Build a vertex event queue and sort it (uses the priority queue with min-heap).
  3. Build an active edge region list and sort it (uses the partial insertion sort).
  4. Sweep all events from the event queue using the Bentley-Ottman line-sweep algorithm and calculate the intersection and winding number.
  5. We need fix it if the intersection with numerical errors violate the mesh topology or active edge list ordering.
  6. Process some degenerate cases for the mesh faces which were generated when we fixed some cases.
  7. Get the monotone regions with the left face marked “inside”

  The triangulation test result:

  

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• How to install xmake

  2016-07-19

  xmake

  xmake  install  linux  windows  macosx  homebrew

  Install on windows

  1. Download xmake source codes
  2. Enter the source code directory
  3. Run install.bat
  4. Select the installed directory and enter into this directory
  5. Please wait some mintues

  Install from source codes on linux and macosx

  $ git clone git@github.com:waruqi/xmake.git
  $ cd ./xmake
  $ sudo ./install
  

  Install using homebrew on macosx

  $ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
  $ sudo brew install xmake
  

  Install using homebrew on linux

  $ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/linuxbrew/go/install)"
  $ sudo brew install xmake
  

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• How to configure for compiling

  2016-07-19

  xmake

  xmake  configure  android  auto-detection

  xmake will automatically detect the system environment and create the most appropriate configuration to compile project when building a program

  Usually we only need to run:

  $ xmake
  

  And it will not re-generate configuration if the project description has not changed.

  But we can also modify configuration manually.

  e.g

  We want to build android program on macosx:

  $ xmake f -p android --ndk=~/file/android-ndk
  

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