/usr/share/pyshared/OpenGL/arrays/numeric.py is in python-opengl 3.0.1~b2-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 | """Original Numeric module implementation of the OpenGL-ctypes array interfaces
Eventual Goals:
* Be able to register handlers for a given data-storage mechanism at
run-time
* Be able to choose what data-type to use for any given operation where
we are getting return values and/or register a default format for
return values (i.e. tell OpenGL to return ctypes pointers or Numeric
arrays or Numarray arrays for glGet* calls)
"""
REGISTRY_NAME = 'numeric'
try:
import Numeric
except ImportError, err:
raise ImportError( """No Numeric module present: %s"""%(err))
import operator
from OpenGL.arrays import _numeric
dataPointer = _numeric.dataPointer
from OpenGL import constants, constant
from OpenGL.arrays import formathandler
class NumericHandler( formathandler.FormatHandler ):
"""Numeric-specific data-type handler for OpenGL"""
HANDLED_TYPES = (Numeric.ArrayType, )
isOutput = True
@classmethod
def from_param( cls, value, typeCode=None ):
return dataPointer( value )
dataPointer = staticmethod( dataPointer )
def voidDataPointer( cls, value ):
"""Given value in a known data-pointer type, return void_p for pointer"""
return ctypes.c_void_p( self.dataPointer( value ))
def zeros( self, dims, typeCode ):
"""Return Numeric array of zeros in given size"""
return Numeric.zeros( dims, GL_TYPE_TO_ARRAY_MAPPING.get(typeCode) or typeCode )
def arrayToGLType( self, value ):
"""Given a value, guess OpenGL type of the corresponding pointer"""
typeCode = value.typecode()
constant = ARRAY_TO_GL_TYPE_MAPPING.get( typeCode )
if constant is None:
raise TypeError(
"""Don't know GL type for array of type %r, known types: %s\nvalue:%s"""%(
typeCode, ARRAY_TO_GL_TYPE_MAPPING.keys(), value,
)
)
return constant
def arraySize( self, value, typeCode = None ):
"""Given a data-value, calculate dimensions for the array"""
try:
dimValue = value.shape
except AttributeError, err:
# XXX it's a list or a tuple, how do we determine dimensions there???
# for now we'll just punt and convert to an array first...
value = self.asArray( value, typeCode )
dimValue = value.shape
dims = 1
for dim in dimValue:
dims *= dim
return dims
def asArray( self, value, typeCode=None ):
"""Convert given value to an array value of given typeCode"""
if value is None:
return value
else:
return self.contiguous( value, typeCode )
def contiguous( self, source, typeCode=None ):
"""Get contiguous array from source
source -- Numeric Python array (or compatible object)
for use as the data source. If this is not a contiguous
array of the given typeCode, a copy will be made,
otherwise will just be returned unchanged.
typeCode -- optional 1-character typeCode specifier for
the Numeric.array function.
All gl*Pointer calls should use contiguous arrays, as non-
contiguous arrays will be re-copied on every rendering pass.
Although this doesn't raise an error, it does tend to slow
down rendering.
"""
typeCode = GL_TYPE_TO_ARRAY_MAPPING.get( typeCode )
if isinstance( source, Numeric.ArrayType):
if source.iscontiguous() and (typeCode is None or typeCode==source.typecode()):
return source
else:
if typeCode is None:
typeCode = source.typecode()
# We have to do astype to avoid errors about unsafe conversions
# XXX Confirm that this will *always* create a new contiguous array
# XXX Allow a way to make this raise an error for performance reasons
# XXX Guard against wacky conversion types like uint to float, where
# we really don't want to have the C-level conversion occur.
return Numeric.array( source.astype( typeCode ), typeCode )
elif typeCode:
return Numeric.array( source, typeCode )
else:
return Numeric.array( source )
def unitSize( self, value, typeCode=None ):
"""Determine unit size of an array (if possible)"""
return value.shape[-1]
def dimensions( self, value, typeCode=None ):
"""Determine dimensions of the passed array value (if possible)"""
return value.shape
ARRAY_TO_GL_TYPE_MAPPING = {
'd': constants.GL_DOUBLE,
'f': constants.GL_FLOAT,
'i': constants.GL_INT,
's': constants.GL_SHORT,
'c': constants.GL_UNSIGNED_BYTE,
'b': constants.GL_BYTE,
'I': constants.GL_UNSIGNED_INT,
}
GL_TYPE_TO_ARRAY_MAPPING = {
constants.GL_DOUBLE: 'd',
constants.GL_FLOAT:'f',
constants.GL_INT: 'i',
constants.GL_UNSIGNED_INT: 'i',
constants.GL_UNSIGNED_BYTE: 'c',
constants.GL_SHORT: 's',
constants.GL_UNSIGNED_SHORT: 's',
constants.GL_BYTE: 'b',
}
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