def single_elaboration(total, max):
total_list_average = []
total_list_std = []
total_list_generation = []
for experiment in total:
gen = 0
list_average = []
list_std = []
list_generation = []
for generation in experiment[1]:
lll = []
for el in generation:
lll.append(float(el.replace(",", "")))
if len(lll) > 100:
print("Be carefull, more than 100")
list_average.append(np.average(np.array(lll)))
list_std.append(np.std(np.array(lll)))
list_generation.append(gen)
gen += 1
total_list_average.append(list_average)
total_list_std.append(list_std)
total_list_generation.append(list_generation)
total_list_average_maybe = []
total_list_std_maybe = []
for i in range(len(total_list_average[0])):
list_appo = []
list_appo_two = []
for j in range(len(total_list_average)):
list_appo.append(total_list_average[j][i])
list_appo_two.append(total_list_std[j][i])
total_list_average_maybe.append(np.average(np.array(list_appo)))
total_list_std_maybe.append(np.average(np.array(list_appo_two)))
scaled_version = []
for el in total_list_average_maybe:
scaled_version.append((((el - 0) * (1 - 0)) / (max - 0)) + 0)
# scaled_version.append(el)
return scaled_version, total_list_generation[0]
def ext_cret(s0, s1, snew0, snew1):
sX = deltn.iloc[:, s0:s1].T.values
sY = deltn.iloc[:, snew0:snew1].T.values
return (np.average([_cooc_dissim(sx,sy) for sx, sy in product(sX, sY)]) <= cooc_thresh) \
and getpercdel(s0, s1) > detectthresh and getpercret(s0, s1) > detectthresh
def _stretch_average(distance, stretches, indices):
distmat = DataFrame(squareform(distance), index=indices, columns=indices)
return np.array([
np.average(np.ravel(distmat.loc[si[0]:si[1] - 1, sj[0]:sj[1] - 1]))
for si, sj in combinations(stretches, 2)
])
def ex_func(s0, s1, snew0, snew1):
sX = nodeldf.loc[:, s0:s1 - 1].T.values
sY = nodeldf.loc[:, snew0:snew1 - 1].T.values
return (np.average([_spearman_dissim(sx,sy) for sx, sy in product(sX, sY)]) <= dissim_thresh) \
and vsgv_can_extend(min([s0,s1,snew0,snew1]), max(s0,s1,snew0,snew1),
nodeldf, dense_perc, clip_quantile, fit_method, fit_interval, cache)