class BlacklistItem:
# name: Name of the item to see why it was discarded
# coords: One up to six coords [[x, y], ...] of the pattern, values zero to six
# misses: Amount of coords that don't have to match
# transformations: List of transformations that should be applied to the
# pattern before testing. L, R - Rotate. F - Flip. M - Mirror: ["R", "F"]
def __init__(self, name, coords, misses=0, transformations=[]):
self.name = name
self.misses = misses
self.main_pattern = Pattern(name, coords, misses)
self.patterns = [self.main_pattern]
self.transformations = transformations
self._perform_transformations()
def _perform_transformations(self):
for r in self.transformations:
rotated_coords = r.perform(self.get_coords())
min_coord = coords_min(rotated_coords)
relocated = relocate(rotated_coords, min_coord)
self.patterns.append(
Pattern(self.name + " " + r.get_suffix(), relocated,
self.misses))
def get_name(self):
return self.name
def get_coords(self):
return self.main_pattern.get_coords()
def get_patterns(self):
return self.patterns
def get_main_pattern(self):
return self.patterns[0]
def get_misses(self):
return self.misses
def matches(self, tipp):
for p in self.patterns:
if p.matches(tipp):
return True
return False
def __str__(self):
return self.str_pretty(1)
def str_pretty(self, verbosity=1):
s = ''
if verbosity > 0:
if verbosity == 1:
s += self.patterns[0].str_pretty(verbosity)
if verbosity > 1:
for p in self.patterns:
s += p.str_pretty(verbosity)
return s
