def test():
import pickle
from filter import Filter
import matplotlib.pyplot as plt
data = pickle.load(
open(
'/Users/martinomilani/Documents/III_semester/PACS/shapegraph/data.pickle',
'rb'))
plt.plot([x[0] for x in data], [x[1] for x in data], 'ro')
plt.show()
f = Filter.factory('Projection')
cover = Cover.factory('UniformCover')
filter_values = f(data)
cover.fit(filter_values, data)
for fiber in cover:
print('\n new fiber')
print(fiber._fiber_index)
print(fiber._filter_minima)
print(fiber._filter_maxima)
print(fiber._pointlabels)
print(len(fiber._points))
plt.plot([x[0] for x in fiber._points],
[x[1] for x in fiber._points], 'ro')
plt.show()
print('OK')
def test():
data = pickle.load(
open(
'/Users/martinomilani/Documents/III_semester/PACS/shapegraph/data.pickle',
'rb'))
f = Filter.factory('Projection')
cover = Cover.factory('BalancedCover')
filter_values = f(data)
cover.fit(filter_values, data)
cluster = Cluster.factory('Linkage')
for fiber in cover:
plt.plot([x[0] for x in fiber._points],
[x[1] for x in fiber._points], 'ro')
plt.show()
cluster(fiber)
print(len(fiber._nodes))
print('\nOK')
def test():
data = pickle.load(open('/Users/martinomilani/Documents/III_semester/PACS/pymapper/data.pickle', 'rb'))
f = Filter.factory('Projection')
cover = Cover.factory('UniformCover')
filter_values = f(data)
cover.fit(filter_values, data)
cluster = Cluster.factory('Linkage')
for fiber in cover:
cluster(fiber)
print(len(fiber._nodes))
print('OK\n')
complex = Complex()
print(cover.intersecting_dict)
complex.fit(cover)
complex.plot()
"""testing _rename_nodes
