premerge cleanup

This commit is contained in:
Vladimir Mandic
2023-03-11 11:06:43 -05:00
parent 871764e595
commit 90ebc08d9d
3 changed files with 28 additions and 20 deletions
+1 -7
View File
@@ -433,7 +433,7 @@ class Script(scripts.Script):
if opt.label == 'Nothing':
return [0]
valslist = [x.strip() for x in chain.from_iterable(csv.reader(StringIO(vals))) if x]
valslist = [x.strip() for x in chain.from_iterable(csv.reader(StringIO(vals)))]
if opt.type == int:
valslist_ext = []
@@ -499,12 +499,6 @@ class Script(scripts.Script):
z_opt = self.current_axis_options[z_type]
zs = process_axis(z_opt, z_values)
# this could be moved to common code, but unlikely to be ever triggered anywhere else
Image.MAX_IMAGE_PIXELS = opts.img_max_size_mp * 1000000 * 1.1 # allow 10% overhead for margins and legend
grid_mp = round(len(xs) * len(ys) * len(zs) * p.width * p.height / 1000000)
if grid_mp > opts.img_max_size_mp:
return Processed(p, [], p.seed, info=f'Error: Resulting grid would be too large ({grid_mp} MPixels) (max configured size is {opts.img_max_size_mp} MPixels)')
def fix_axis_seeds(axis_opt, axis_list):
if axis_opt.label in ['Seed', 'Var. seed']:
return [int(random.randrange(4294967294)) if val is None or val == '' or val == -1 else val for val in axis_list]