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Our first scripting language will be an extremely simple language that will be used to Essay Maker App manipulate images (like Pixel Bender does). Obviously the goal is not to write something that can be compared with Pixel Bender, but at least we would like to provide an implementation that will lead to Clinical Psychology Admissions Essay scripts as fast as native code (at least we hope so :P).
The first step is to design the language, and to do that we need to do the step zero that is to define the goals we want to achive with the first implementation:
- The language must be extremely simple to design and implement (it is a didactic stuff indeed!);
- The language must be Essay Writer Pay as simple as possible to learn and use: we won’t be an alternative to Pixel Bender (because we can’t … yet ;P)
- The language must be Buy Term Paper Writing Service quick to compile and execute.
- A script must accept some parmeters to control its behaviour.
- We must support comments!
Now that we decided which are the goals, let’s start definign some limitation or features we must include to quickly reach a solution:
- The first implementation of the language will support a Do My Econ Homework sigle data type: Numbers. We will move further adding more data types later – I don’t want to focus on type checking yet.
- We will add support for basic expression operators, basic control flow. No support for functions yet.
- The language will provide some useful operators or Phd Thesis Through Dance builtin functions to manage common operations like packing/unpacking color components and peform some mathematical operations.
- Arguments to a script will be only Numbers at first.
- A script will be defined as a simple sequence of arguments followed by a function definition. This function will be applied sequentially to every pixel of one or more source images.
- We will provide to implementations for the language: a simple (and slow) College Essay Global Warming interpreter at first, then we will generate native SWF code to speedup the performances.
Even if briefly, it is quite important to define the goals of our language and then the features, because a lack of design (even if extremely simple and poor as the current one :P) may lead to unexpected issues during implementation.
Now that we defined those basic pointers, let’s see how the language will look like:
// Simple crossfade filter
// The crossfade intensity
* A quick explanation of the used builtins:
* - in( id, x, y ): gets the ARGB color at x and y of the image identified by id (there can be more than one image as input);
* - out( id, x, y, color ): sets the ARGB color at x and y for the output image identified by id;
* - argb( a, r, b, b ): build an ARGB color from its components (clamping and rounding the values as required);
evaluatePixel( x, y )
// this kind of assignment is similar to the python unpack assignment
// but extracts the 4 components (ARGB) from a color.
a1, r1, g1, b1 = in( 0, x, y );
a2, r2, g2, b2 = in( 1, x, y );
out( 0, x, y, argb(
( 1 - intensity ) * a1 + intensity * a2,
( 1 - intensity ) * r1 + intensity * r2,
( 1 - intensity ) * g1 + intensity * g2,
( 1 - intensity ) * b1 + intensity * b2 ));
As a side not, I must say that the language may change during implementation because of unexpected limitations we will find during development.
Next week we will move forward start implementing the language. Stay tuned!