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Methods defined here:
- arraySize(self, value, typeCode=None)
- Given a data-value, calculate dimensions for the array
- arrayToGLType(self, value)
- Given a value, guess OpenGL type of the corresponding pointer
- asArray(self, value, typeCode=None)
- Given a value, convert to array representation
- dataPointer(self, value)
- return long for pointer value
- dimensions(self, value, typeCode=None)
- Determine dimensions of the passed array value (if possible)
- from_param(self, value)
- Convert to a ctypes pointer value
- register(self, types=None)
- Register this class as handler for given set of types
- registerEquivalent(self, typ, base)
- Register a sub-class for handling as the base-type
- registerReturn(self)
- Register this handler as the default return-type handler
- unitSize(self, value, typeCode=None)
- Determine unit size of an array (if possible)
Class methods defined here:
- chooseOutput(cls, preferred=None) from type
- Choose our output-capable plugin
- loadAll(cls) from type
- Load all setuptools-registered FormatHandler classes
register a new datatype with code similar to this in your
package's setup.py for setuptools:
entry_points = {
'OpenGL.arrays.formathandler':[
'numpy = OpenGL.arrays.numpymodule.NumpyHandler',
],
}
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes defined here:
- ALL_OUTPUT_HANDLERS = []
- GENERIC_OUTPUT_PREFERENCES = ['numpy', 'numeric', 'ctypesarrays']
- HANDLED_TYPES = ()
- HANDLER_REGISTRY = {}
- TYPE_REGISTRY = {}
- baseType = None
- preferredOutput = None
- typeConstant = None
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