def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
argparser = fse_patcher.makeArgParser()
self.logger = _logging.getLogger(__name__)
self.checkboxargs = []
self.valueargs = []
for action in argparser._actions:
if isinstance(action, argparse._HelpAction):
pass
elif isinstance(action, argparse._StoreTrueAction):
self.checkboxargs.append(
CheckboxArg(self, action.dest, action.help))
elif isinstance(action, argparse._StoreAction):
self.valueargs.append(
ValueArg(self, action.dest, action.help, action.nargs))
else:
self.logger.error("Unknown type", type(action))
self.argstr_vis = tk.StringVar()
self.argstr = []
self.initwindow()
self.mainloop()
from PIL import Image
from PIL import ImageChops
import os
import re
import glob
import math
import _logging
import yaml
logger = _logging.getLogger(__name__)
SEP = "_"
REPLACE_THRESHHOLD = 0.5 # How much more efficient the patch needs to be than just using the image outright.
def distance(t1, t2):
"""Returns the distance between two points in n-dimensional space.
Used for determining the difference between two RGBA colors.
Coordinate length must match.
Args:
t1 (tuple): Coordinates
t2 (tuple): Coordinates
Returns:
float: Distance
"""
e2 = 0
for a, b in zip(t1, t2):
e2 += (a - b)**2
return math.sqrt(e2)
def getLogger(*args):
"""getLogger() -> Logger"""
return _logging.getLogger(*args)
def getLogger(*args):
"""getLogger() -> Logger"""
return _logging.getLogger(*args)
