text: """Implementations for common converter types"""
  import ctypes,logging
  from OpenGL._bytes import bytes,as_8_bit
  log = logging.getLogger( 'OpenGL.converters' )
  
  class Converter( object ):
      """Base class for Converter types
  
      Converter objects are callable objects used with the
      OpenGL.wrapper.Wrapper class to simplify the wrapping
      of functions by collecting commonly used functionality
      into a reusable function.
  
      Each Converter has two (class) attributes:
  
          argNames -- list of argument names for initialisation
          indexLookups -- set of (indexname, argName,methodName) values
              to lookup on wrapper.  These allow us to use argument-name
              references to refer to which arguments to use when
              processing (prevents the need to revise pointers when
              we change the API for a function).
  
      Converters can be any of the Wrapper API helper functions,
      so the callable interface can vary among Converter classes.
      """
      argNames = ( )
      indexLookups = ( )
      def __init__( self, *args, **named ):
          """Store arguments in attributes
  
          *args -- mapped to self.argNames in order to set attributes
          **named -- mapped to self.argNames by name to set attributes
          """
          argNames = list(self.argNames)
          for a in self.argNames:
              if a in named:
                  setattr( self, a, named[a] )
                  argNames.remove( a )
          for a,value in zip( argNames, args ):
              setattr( self, a, value )
      def finalise( self, wrapper ):
          """Look up our indices (where appropriate)"""
          for indexname,argName,methodName in self.indexLookups:
              setattr(
                  self, indexname,
                  getattr(wrapper,methodName)(getattr( self, argName ))
              )
  
  # Definitions of the abstract interfaces...
  class PyConverter( Converter ):
      """Converter sub-class for use in Wrapper.pyConverters
  
      This class just defines the interface for a pyConverter-style
      Converter object
      """
      def __call__( self, incoming, function, arguments ):
          """Convert incoming argument into compatable data-types
  
          incoming -- the Python argument for this parameter
          function -- the wrapper.Wrapper class we are supporting
          arguments -- the complete set of arguments passed to the
              function
  
  
          """
          raise NotImplemented( """%s class doesn't implement __call__"""%(
              self.__class__.__name__,
          ))
  
  class CConverter( Converter ):
      """Converter sub-class for use in Wrapper.cConverters
  
      This class just defines the interface for a cConverter-style
      Converter object
      """
      def __call__( self, pyArgs, index, baseOperation ):
          """Calculate C-compatible Python object from Python arguments
  
          pyArgs -- set of Python argument objects converted by
              pyConverters from the incoming arguments
          index -- our index in baseOperation.cConverters
          baseOperation -- the Wrapper object which we are supporting
          """
          raise NotImplemented( """%s class doesn't implement __call__"""%(
              self.__class__.__name__,
          ))
  class ReturnValues( Converter ):
      """Converter sub-class for use as Wrapper.returnValues
  
      This class just defines the interface for a returnValues-style
      Converter object
      """
      def __call__( self, result, baseOperation, pyArgs, cArgs ):
          """Return a final value to the caller
  
          result -- the raw ctypes result value
          baseOperation -- the Wrapper object which we are supporting
          pyArgs -- the set of Python arguments produced by pyConverters
          cArgs -- the set of C-compatible arguments produced by CConverter
  
          return the Python object for the final result
          """
          raise NotImplemented( """%s class doesn't implement __call__"""%(
              self.__class__.__name__,
          ))
  
  # Now the concrete classes...
  from OpenGL import acceleratesupport
  CallFuncPyConverter = None
  if acceleratesupport.ACCELERATE_AVAILABLE:
      try:
          from OpenGL_accelerate.wrapper import (
              CallFuncPyConverter, DefaultCConverter, getPyArgsName,
          )
          from OpenGL_accelerate.arraydatatype import (
              Output,SizedOutput
          )
          from OpenGL_accelerate.wrapper import (
              returnCArgument, returnPyArgument,
          )
      except ImportError, err:
          log.warn(
              "Unable to load converters accelerators (wrapper, arraydatatype) from OpenGL_accelerate"
          )
          CallFuncPyConverter = None
  if CallFuncPyConverter is None:
      class CallFuncPyConverter( PyConverter ):
          """PyConverter that takes a callable and calls it on incoming"""
          def __init__( self, function ):
              """Store the function"""
              self.function = function
          def __call__( self, incoming, function, argument ):
              """Call our function on incoming"""
              return self.function( incoming )
      class DefaultCConverter( CConverter ):
          """NULL or Default CConverter, returns same-named Python argument
  
          Used primarily to allow for specifying a converter that explicitly
          says "use the default behaviour".  This is *not* a finalise-ing
          converter, it is passed in the index explicitly and just retrieves
          that index from pyArgs when called.
  
          Raises informative errors if the index cannot be resolved in pyArgs
          """
          def __init__( self, index ):
              """Just store index for future access"""
              self.index = index
          def __call__( self, pyArgs, index, wrapper ):
              """Return pyArgs[self.index] or raise a ValueError"""
              try:
                  return pyArgs[ self.index ]
              except IndexError, err:
                  raise ValueError(
                      """Expected parameter index %r, but pyArgs only length %s"""%(
                      self.index,
                      len(pyArgs )
                  ))
      class getPyArgsName( CConverter ):
          """CConverter returning named Python argument
  
          Intended for use in cConverters, the function returned
          retrieves the named pyArg and returns it when called.
          """
          argNames = ('name',)
          indexLookups = [ ('index','name', 'pyArgIndex' ), ]
          __slots__ = ( 'index', 'name')
          def __call__( self, pyArgs, index, baseOperation ):
              """Return pyArgs[ self.index ]"""
              try:
                  return pyArgs[ self.index ]
              except AttributeError, err:
                  raise RuntimeError( """"Did not resolve parameter index for %r"""%(self.name))
  
      class Output( CConverter ):
          """CConverter generating static-size typed output arrays
  
          Produces an output array of given type (arrayType) and
          size using self.lookup() to determine the size of the
          array to be produced, where the lookup function is passed
          as an initialisation argument.
  
          Provides also:
  
              oldStyleReturn( ... ) for use in the default case of
                  PyOpenGL compatability mode, where result arrays of
                  size (1,) are returned as scalar values.
          """
          argNames = ('name','size','arrayType' )
          indexLookups = [
              ('outIndex','name', 'cArgIndex' ),
          ]
          __slots__ = ('index','size','arrayType','outIndex','inIndex')
          def __call__( self, pyArgs, index, baseOperation ):
              """Return pyArgs[ self.index ]"""
              return self.arrayType.zeros( self.getSize(pyArgs) )
          def getSize( self, pyArgs ):
              """Retrieve the array size for this argument"""
              return self.size
          def oldStyleReturn( self, result, baseOperation, pyArgs, cArgs ):
              """Retrieve cArgs[ self.index ]"""
              result = cArgs[ self.outIndex ]
              thisSize = self.getSize(pyArgs)
              if thisSize == (1,):
                  try:
                      return result[0]
                  except TypeError, err:
                      return result
              else:
                  return result
  
      class SizedOutput( Output ):
          """Output generating dynamically-sized typed output arrays
  
          Takes an extra parameter "specifier", which is the name of
          a Python argument to be passed to the lookup function in order
          to determine the appropriate size for the output array.
          """
          argNames = ('name','specifier','lookup','arrayType' )
          indexLookups = [
              ('outIndex','name', 'cArgIndex' ),
              ('index','specifier', 'pyArgIndex' ),
          ]
          __slots__ = ('index','specifier','lookup','arrayType')
          def getSize( self, pyArgs ):
              """Retrieve the array size for this argument"""
              try:
                  specifier = pyArgs[ self.index ]
              except AttributeError, err:
                  raise RuntimeError( """"Did not resolve parameter index for %r"""%(self.name))
              else:
                  try:
                      return self.lookup( specifier )
                  except KeyError, err:
                      raise KeyError( """Unknown specifier %s"""%( specifier ))
      class returnCArgument( ReturnValues ):
          """ReturnValues returning the named cArgs value"""
          argNames = ('name',)
          indexLookups = [ ('index','name', 'cArgIndex' ), ]
          __slots__ = ( 'index', 'name' )
          def __call__( self, result, baseOperation, pyArgs, cArgs ):
              """Retrieve cArgs[ self.index ]"""
              return cArgs[self.index]
  
      class returnPyArgument( ReturnValues ):
          """ReturnValues returning the named pyArgs value"""
          argNames = ('name',)
          indexLookups = [ ('index','name', 'pyArgIndex' ), ]
          __slots__ = ( 'index', 'name' )
          def __call__( self, result, baseOperation, pyArgs, cArgs ):
              """Retrieve pyArgs[ self.index ]"""
              return pyArgs[self.index]
  
  class StringLengths( CConverter ):
      """CConverter for processing array-of-pointers-to-strings data-type
  
      Converter is a CConverter for the array-of-lengths for a
      array-of-pointers-to-strings data-type used to pass a set
      of code fragments to the GLSL compiler.
  
      Provides also:
  
          stringArray -- PyConverter callable ensuring list-of-strings
              format for the python argument
  
          stringArrayForC -- CResolver converting the array to
              POINTER(c_char_p) format for passing to C
  
          totalCount -- CConverter callable giving count of string
              pointers (that is, length of the pointer array)
      """
      argNames = ('name',)
      indexLookups = [ ('index','name', 'pyArgIndex' ), ]
      __slots__ = ()
      def __call__( self, pyArgs, index, baseOperation ):
          """Get array of length integers for string contents"""
          from OpenGL import arrays,constants
          tmp = [len(x) for x in pyArgs[self.index]]
          a_type = constants.GLint * len(tmp)
          return a_type( *tmp )
      def totalCount( self, pyArgs, index, baseOperation ):
          """Get array of length integers for string contents"""
          return len(pyArgs[self.index])
      def stringArray( self, arg, baseOperation, args ):
          """Create basic array-of-strings object from pyArg"""
          if isinstance( arg, bytes ):
              arg = [arg]
          value = [as_8_bit(x) for x in arg]
          return value
      def stringArrayForC( self, strings ):
          """Create a ctypes pointer to char-pointer set"""
          from OpenGL import arrays
          result = (ctypes.c_char_p * len(strings))()
          for i,s in enumerate(strings):
              result[i] = ctypes.cast(
                  arrays.GLcharARBArray.dataPointer(s),
                  ctypes.c_char_p,
              )
          return result
  