"""Helper functions for wrapping array-using operations These are functions intended to be used in wrapping GL functions that deal with OpenGL array data-types. """ import OpenGL import ctypes from OpenGL import _configflags from OpenGL import contextdata, error, converters from OpenGL.arrays import arraydatatype from OpenGL._bytes import bytes,unicode import logging _log = logging.getLogger( 'OpenGL.arrays.arrayhelpers' ) from OpenGL import acceleratesupport AsArrayTypedSizeChecked = None if acceleratesupport.ACCELERATE_AVAILABLE: try: from OpenGL_accelerate.arraydatatype import AsArrayTypedSizeChecked from OpenGL_accelerate.wrapper import returnPyArgumentIndex from OpenGL_accelerate.arraydatatype import ( AsArrayOfType,AsArrayTyped,AsArrayTypedSize ) except ImportError as err: _log.warn( "Unable to load arrayhelpers accelerator from OpenGL_accelerate" ) if AsArrayTypedSizeChecked is None: def returnPointer( result,baseOperation,pyArgs,cArgs, ): """Return the converted object as result of function Note: this is a hack that always returns pyArgs[0]! """ return pyArgs[0] class AsArrayOfType( converters.PyConverter ): """Given arrayName and typeName coerce arrayName to array of type typeName TODO: It should be possible to drop this if ERROR_ON_COPY, as array inputs always have to be the final objects in that case. """ argNames = ( 'arrayName','typeName' ) indexLookups = ( ('arrayIndex', 'arrayName','pyArgIndex'), ('typeIndex', 'typeName','pyArgIndex'), ) def __init__( self, arrayName='pointer', typeName='type' ): self.arrayName = arrayName self.typeName = typeName def __call__( self, arg, wrappedOperation, args): """Get the arg as an array of the appropriate type""" type = args[ self.typeIndex ] arrayType = arraydatatype.GL_CONSTANT_TO_ARRAY_TYPE[ type ] return arrayType.asArray( arg ) class AsArrayTyped( converters.PyConverter ): """Given arrayName and arrayType, convert arrayName to array of type TODO: It should be possible to drop this if ERROR_ON_COPY, as array inputs always have to be the final objects in that case. """ argNames = ( 'arrayName','arrayType' ) indexLookups = ( ('arrayIndex', 'arrayName','pyArgIndex'), ) def __init__( self, arrayName='pointer', arrayType=None ): self.arrayName = arrayName self.arrayType = arrayType def __call__( self, arg, wrappedOperation, args): """Get the arg as an array of the appropriate type""" return self.arrayType.asArray( arg ) class AsArrayTypedSize( converters.CConverter ): """Given arrayName and arrayType, determine size of arrayName """ argNames = ( 'arrayName','arrayType' ) indexLookups = ( ('arrayIndex', 'arrayName','pyArgIndex'), ) def __init__( self, arrayName='pointer', arrayType=None ): self.arrayName = arrayName self.arrayType = arrayType def __call__( self, pyArgs, index, wrappedOperation ): """Get the arg as an array of the appropriate type""" return self.arrayType.arraySize( pyArgs[self.arrayIndex ] ) else: returnPointer = returnPyArgumentIndex( 0 ) if not _configflags.ERROR_ON_COPY: def asArrayType( typ, size=None ): """Create PyConverter to get first argument as array of type""" return converters.CallFuncPyConverter( typ.asArray ) else: def asArrayType( typ, size=None ): """No converter required""" return None if not _configflags.ARRAY_SIZE_CHECKING: asArrayTypeSize = asArrayType else: if AsArrayTypedSizeChecked: asArrayTypeSize = AsArrayTypedSizeChecked else: def asArrayTypeSize( typ, size ): """Create PyConverter function to get array as type and check size Produces a raw function, not a PyConverter instance """ asArray = typ.asArray dataType = typ.typeConstant arraySize = typ.arraySize expectedBytes = ctypes.sizeof( typ.baseType ) * size def asArraySize( incoming, function, args ): handler = typ.getHandler( incoming ) result = handler.asArray( incoming, dataType ) # check that the number of bytes expected is present... byteSize = handler.arrayByteCount( result ) if byteSize != expectedBytes: raise ValueError( """Expected %r byte array, got %r byte array"""%( expectedBytes, byteSize, ), incoming, ) return result return asArraySize if not _configflags.ERROR_ON_COPY: def asVoidArray( ): """Create PyConverter returning incoming as an array of any type""" from OpenGL.arrays import ArrayDatatype return converters.CallFuncPyConverter( ArrayDatatype.asArray ) else: def asVoidArray( ): """If there's no copying allowed, we can use default passing""" return None class storePointerType( object ): """Store named pointer value in context indexed by constant pointerName -- named pointer argument constant -- constant used to index in the context storage Note: OpenGL.STORE_POINTERS can be set with ERROR_ON_COPY to ignore this storage operation. Stores the pyArgs (i.e. result of pyConverters) for the named pointer argument... """ def __init__( self, pointerName, constant ): self.pointerName = pointerName self.constant = constant def finalise( self, wrapper ): self.pointerIndex = wrapper.pyArgIndex( self.pointerName ) def __call__( self, result, baseOperation, pyArgs, cArgs ): contextdata.setValue( self.constant, pyArgs[self.pointerIndex] ) def setInputArraySizeType( baseOperation, size, type, argName=0 ): """Decorate function with vector-handling code for a single argument if OpenGL.ERROR_ON_COPY is False, then we return the named argument, converting to the passed array type, optionally checking that the array matches size. if OpenGL.ERROR_ON_COPY is True, then we will dramatically simplify this function, only wrapping if size is True, i.e. only wrapping if we intend to do a size check on the array. """ from OpenGL import wrapper return wrapper.wrapper( baseOperation ).setInputArraySize( argName, size ) def arraySizeOfFirstType( typ, default ): unitSize = typ.unitSize def arraySizeOfFirst( pyArgs, index, baseOperation ): """Return the array size of the first argument""" array = pyArgs[0] if array is None: return default else: return unitSize( array ) return arraySizeOfFirst