def process():
gerador = Gerador()
print 'Going to process', len(gerador), 'games'
filename = ls.GENERATED_DATA_DIR + 'coincides_hist_range-%d.blob' %(n_pass)
fileobj = open(filename, 'wb')
pickler = pickle.Pickler(fileobj, pickle.HIGHEST_PROTOCOL)
coincides_ranges = get_coincides_range_dict()
print 'coincides_ranges', coincides_ranges
for jogo_as_dezenas in gerador:
# i = gerador.iterator.at_index
# if i > 10:
# break
jogo_passed_filter = filter_in_those_within_coincides_histogram_range(jogo_as_dezenas, coincides_ranges, up_to_nDoConc=None, LOOKUP_DEPTH=1000)
if jogo_passed_filter:
pickler.dump(numpy.array(jogo_as_dezenas))
print gerador.iterator.at_index, jogo_as_dezenas, jogo_passed_filter
def adhoc_test():
# slider = ConcursoHTML()
# last_nDoConc = find_last_nDoConc()
# backtrack_amount = 400
# down_to_nDoConc = last_nDoConc - backtrack_amount
# for nDoConc in range(last_nDoConc, down_to_nDoConc - 1, -1):
# concurso = slider.get_last_concurso()
# analyzer = Analyzer(concurso)
# analyzer.run()
# analyzer.report()
# report()
'''
n_of_coincides 0
[507 510 535 533 530 538 518 512 506 485]
min 485
max 538
avg 517.5
std 15.8379291576
n_of_coincides 1
[376 375 356 364 373 368 382 385 376 395]
min 356
max 395
avg 375.1
std 10.4211323761
n_of_coincides 2
[112 107 99 96 92 87 94 95 104 108]
min 87
max 112
avg 99.5
std 7.6183987819
n_of_coincides 3
[ 4 8 8 7 5 6 6 7 14 12]
min 4
max 14
avg 7.8
std 2.93428015022
n_of_coincides 4
[1 0 2 0 0 1 0 1 0 0]
min 0
max 2
'''
coincides_ranges = {}
#coincides_ranges[0] = (485, 538)
coincides_ranges[0] = (501, 518)
# coincides_ranges[1] = (356, 395)
coincides_ranges[1] = (366, 385)
#coincides_ranges[2] = ( 87, 112)
coincides_ranges[2] = ( 97, 102)
#coincides_ranges[3] = ( 4, 14)
coincides_ranges[3] = ( 5, 10)
coincides_ranges[4] = ( 0, 2)
coincides_ranges[5] = ( 0, 0)
coincides_ranges[6] = ( 0, 0)
#slider = ConcursoExt()
gerador = Gerador()
# gerador = GeradorIterator()
print len(gerador)
for jogo_as_dezenas in gerador:
i = gerador.iterator.at_index
if i > 10:
break
print gerador.iterator.at_index, jogo_as_dezenas
bool_result = filter_in_those_within_coincides_histogram_range(jogo_as_dezenas, coincides_ranges, up_to_nDoConc=None, LOOKUP_DEPTH=1000)
#if bool_result:
print jogo_as_dezenas, bool_result
