def compare_top_bottom(scores, figures, solutions, problem):
if not scores:
scores = [.125, .125, .125, .125, .125, .125, .125, .125]
g_blobs = algorithm.get_blobs(algorithm.find_regions(figures[6]))
h_blobs = algorithm.get_blobs(algorithm.find_regions(figures[7]))
top_g = g_blobs[algorithm.get_top(g_blobs)]
bottom_h = h_blobs[algorithm.get_bottom(h_blobs)]
possible_answers = []
for i, score in enumerate(scores):
if score != 0.0:
possible_answers.append((i, solutions[i]))
comparisons = []
for answer in possible_answers:
solution_blobs = algorithm.get_blobs(algorithm.find_regions(answer[1]))
top_solution = solution_blobs[algorithm.get_top(solution_blobs)]
bottom_solution = solution_blobs[algorithm.get_bottom(solution_blobs)]
x = (answer[0], algorithm.calc_rms(top_g, top_solution) +
algorithm.calc_rms(bottom_h, bottom_solution))
comparisons.append(x)
m = min(comparisons, key=lambda t: t[1])
return m
def compare_top_bottom(scores, figures, solutions, problem):
if not scores:
scores = [.125, .125, .125, .125, .125, .125, .125, .125]
g_blobs = algorithm.get_blobs(algorithm.find_regions(figures[6]))
h_blobs = algorithm.get_blobs(algorithm.find_regions(figures[7]))
top_g = g_blobs[algorithm.get_top(g_blobs)]
bottom_h = h_blobs[algorithm.get_bottom(h_blobs)]
possible_answers = []
for i, score in enumerate(scores):
if score != 0.0:
possible_answers.append( (i, solutions[i]))
comparisons = []
for answer in possible_answers:
solution_blobs = algorithm.get_blobs(algorithm.find_regions(answer[1]))
top_solution = solution_blobs[algorithm.get_top(solution_blobs)]
bottom_solution = solution_blobs[algorithm.get_bottom(solution_blobs)]
x = ( answer[0], algorithm.calc_rms(top_g, top_solution) + algorithm.calc_rms(bottom_h, bottom_solution))
comparisons.append(x)
m = min(comparisons, key=lambda t: t[1])
return m
def compare_bottom_bc_ef(figures):
b_blobs = algorithm.get_blobs(algorithm.find_regions(figures[1]))
c_blobs = algorithm.get_blobs(algorithm.find_regions(figures[2]))
e_blobs = algorithm.get_blobs(algorithm.find_regions(figures[4]))
f_blobs = algorithm.get_blobs(algorithm.find_regions(figures[5]))
if len(b_blobs) < 2 or len(c_blobs) < 2 or len(e_blobs) < 2 or len(f_blobs) < 2:
return False
if transformation.strict_equality(b_blobs[algorithm.get_bottom(b_blobs)], c_blobs[algorithm.get_bottom(c_blobs)]) \
and transformation.strict_equality(e_blobs[algorithm.get_bottom(e_blobs)], f_blobs[algorithm.get_bottom(f_blobs)]):
return True
else:
return False
def compare_bottom_bc_ef(figures):
b_blobs = algorithm.get_blobs(algorithm.find_regions(figures[1]))
c_blobs = algorithm.get_blobs(algorithm.find_regions(figures[2]))
e_blobs = algorithm.get_blobs(algorithm.find_regions(figures[4]))
f_blobs = algorithm.get_blobs(algorithm.find_regions(figures[5]))
if len(b_blobs) < 2 or len(c_blobs) < 2 or len(e_blobs) < 2 or len(
f_blobs) < 2:
return False
if transformation.strict_equality(b_blobs[algorithm.get_bottom(b_blobs)], c_blobs[algorithm.get_bottom(c_blobs)]) \
and transformation.strict_equality(e_blobs[algorithm.get_bottom(e_blobs)], f_blobs[algorithm.get_bottom(f_blobs)]):
return True
else:
return False
