def alignment_from_alignment_file(self, path):
self.hitting_tiles = []
with open(path) as f:
astats = stats.AlignmentStats().from_file(f)
for tile_key, scaling, tile_width, rotation, rc_offset, _ in astats:
self.set_tile_alignment(tile_key, scaling, tile_width, rotation,
rc_offset)
def load_existing_score(stats_file_path):
if os.path.isfile(stats_file_path):
with open(stats_file_path) as f:
try:
return stats.AlignmentStats().from_file(f).score
except (TypeError, ValueError):
return 0
return 0
def alignment_stats(self):
hits = {'exclusive': len(self.exclusive_hits),
'good_mutual': len(self.good_mutual_hits),
'bad_mutual': len(self.bad_mutual_hits),
'non_mutual': len(self.non_mutual_hits)}
offsets = [tuple(map(float, tile.offset)) for tile in self.hitting_tiles]
return stats.AlignmentStats().from_data([str(tile.key) for tile in self.hitting_tiles],
[float(tile.scale) for tile in self.hitting_tiles],
[float(tile.width) for tile in self.hitting_tiles],
[float(tile.rotation_degrees) for tile in self.hitting_tiles],
offsets,
hits)
