'type': 'matrix',
'matrix': adx_to_cdd,
'offset': offset,
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
# Convert from Channel-Dependent Density to Channel-Independent Density
cs.to_reference_transforms.append({
0.05901, 0.96928, -0.02829, 0,
0.16134, 0.07406, 0.76460, 0,
0.0, 0.0, 0.0, 1.0],
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
# Copied from *Alex Fry*'s *adx_cid_to_rle.py*
def create_CID_to_RLE_LUT():
# Generic Matrix transform
# -------------------------------------------------------------------------
def create_generic_matrix(name='matrix',
- from_reference_values=[],
- to_reference_values=[]):
+ from_reference_values=None,
+ to_reference_values=None):
+
+ if from_reference_values is None:
+ from_reference_values = []
+ if to_reference_values is None:
+ to_reference_values = []
+
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
cs.equality_group = name
# Add to list of ODTs
odts[odt_name] = {}
odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_CTL)
- if transform_CTL_inverse != None:
+ if transform_CTL_inverse is not None:
odts[odt_name]['transformCTLInverse'] = os.path.join(
odt_dir, transform_CTL_inverse)
lmts[lmt_name] = {}
lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
- if transform_CTL_inverse != None:
+ if transform_CTL_inverse is not None:
lmts[lmt_name]['transformCTLInverse'] = os.path.join(
lmt_dir, transform_CTL_inverse)