def shaped_like_a_side(side_data):
"""Determines if the given side data is actually shaped like a side.
Sides may be flat, out-shaped or in-shaped (the latter two being
indistinguishable when looking at just a single shape).
Arguments:
side_data: a list of (x, y) tuples
Returns a boolean.
"""
fixtures_path = 'quandry/fixtures/'
piece_six_path = os.path.join(fixtures_path, 'piece-six.json')
with open(piece_six_path) as piece_six_file:
canonical_out_side = json.loads(piece_six_file.read())['sides'][1]
out_score = util.hausdorff(side_data, canonical_out_side)
print 'out score: %s' % out_score
if out_score < 10:
#return True
pass
piece_three_path = os.path.join(fixtures_path, 'piece-three.json')
with open(piece_three_path) as piece_three_file:
canonical_flat_side = json.loads(piece_three_file.read())['sides'][0]
flat_score = util.hausdorff(side_data, canonical_flat_side)
print 'flat score: %s' % flat_score
if flat_score < 10:
#return True
pass
for filepath in piece_data:
for index, side in enumerate(piece_data[filepath]['sides']):
key = '%s+%s' % (filepath, index)
sides[key] = {
'name': key,
'type': piece_data[filepath]['side_types'][index],
'length': piece_data[filepath]['side_lengths'][index],
'outline': piece_data[filepath]['sides'][index],
}
ins = [sides[k] for k in sides if sides[k]['type'] == 'in']
outs = [sides[k] for k in sides if sides[k]['type'] == 'out']
# Compare ins and outs.
for in_side in ins:
print 'analyzing "%s"..' % in_side['name']
side_length_ratios = []
for out_side in outs:
if in_side['name'].split('+')[0] == out_side['name'].split('+')[0]:
continue
diff = util.percent_diff(in_side['length'], out_side['length'])
side_length_ratios.append((out_side['name'], diff))
hausdorff_scores = []
for name, ratio in sorted(side_length_ratios, key=lambda v: v[1]):
if ratio > 10:
continue
h_score = util.hausdorff(in_side['outline'], sides[name]['outline'])
hausdorff_scores.append((name, h_score))
for h in sorted(hausdorff_scores, key=lambda v: v[1]):
print '%10s -> %0.2f' % (h[0].split('/')[1], h[1])