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Separate getting a normal attribute and getting __dict__, was having to do too a check for __dict__ on each class (multiple times per getattro call from python) when its not used that often.
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- Initialize python types with PyType_Ready, which adds methods to the type dictionary.
- use Pythons get/setattro (uses a python string for the attribute rather then char*). Using basic C strings seems nice but internally python converts them to python strings and discards them for most functions that accept char arrays.
- Method lookups use the PyTypes dictionary (should be faster then Py_FindMethod)
- Renamed __getattr -> py_base_getattro, _getattr -> py_getattro, __repr -> py_base_repr, py_delattro, py_getattro_self etc.
From here is possible to put all the parent classes methods into each python types dictionary to avoid nested lookups (api has 4 levels of lookups in some places), tested this but its not ready yet.
Simple tests for getting a method within a loop show this to be between 0.5 and 3.2x faster then using Py_FindMethod()
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Use 'const char *' rather then the C++ 'STR_String' type for the attribute identifier of python attributes.
Each attribute and method access from python was allocating and freeing the string.
A simple test with getting an attribute a loop shows this speeds up attribute lookups a bit over 2x.
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NAND controller is an inverted AND controller: the output is
1 if any of the input is 0.
NOR controller is an inverted OR controller: the output is 0
if any of the input is 1.
XOR controller is an exclusive OR: the output is 1 if and only
if one input is 1 and all the other inputs are 0.
XNOR controller is an inverted XOR: the output is 0 if and only
if one input is 0 and all the other inputs are 0.
The NAND, NORT and XNOR controllers are very usefull to create
complementary outputs to start and stop actuators synchronously.
MSCV project files updated.
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