Exemple #1
0
 def generate_mf_group(self, G, x):
     mf_group = {}
     for (k, v) in G.iteritems():
         shp = v['shp']
         mf = v['mf']
         if mf == 'trap':
             mf_group[k] = trapmf(x, shp)
         if mf == 'tri':
             mf_group[k] = trimf(x, shp)
         if mf == 'gbell':
             mf_group[k] = gbellmf(x, shp[0], shp[1], shp[2])
         if mf == 'gauss':
             mf_group[k] = gaussmf(x, shp[0], shp[1])
         if mf == 'gauss2':
             mf_group[k] = gauss2mf(x, shp[0], shp[1])
         if mf == 'sig':
             mf_group[k] = sigmf(x, shp[0], shp[1])
         if mf == 'psig':
             mf_group[k] = psigmf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'zmf':
             mf_group[k] = zmf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'smf':
             mf_group[k] = smf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'pimf':
             mf_group[k] = pimf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'piecemf':
             mf_group[k] = piecemf(x, shp[0], shp[1], shp[2], shp[3])
     return mf_group
def test_piecemf_c_smaller_than_max_x():
    x = np.arange(0, 2.6, 0.1)
    expected = np.r_[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.25, 0.5,
                     0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1., 1., 1., 1., 1.,
                     1.]
    test = piecemf(x, [1, 1.25, 2])
    assert_allclose(test, expected)
def test_piecemf():
    x = np.arange(0, 2.1, 0.1)
    expected = np.r_[0.,    0.,   0.,  0.,   0.,  0.,   0.,  0.,   0.,
                     0.,    0., 0.25, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85,
                     0.9, 0.95,   1.]
    test = piecemf(x, [1, 1.25, 2])
    assert_allclose(test, expected)
Exemple #4
0
 def generate_mf_group(self, G, x):
     mf_group = {}
     for (k, v) in G.iteritems():
         shp = v['shp']
         mf = v['mf']
         if mf == 'trap':
             mf_group[k] = trapmf(x, shp)
         if mf == 'tri':
             mf_group[k] = trimf(x, shp)
         if mf == 'gbell':
             mf_group[k] = gbellmf(x, shp[0], shp[1], shp[2])
         if mf == 'gauss':
             mf_group[k] = gaussmf(x, shp[0], shp[1])
         if mf == 'gauss2':
             mf_group[k] = gauss2mf(x, shp[0], shp[1])
         if mf == 'sig':
             mf_group[k] = sigmf(x, shp[0], shp[1])
         if mf == 'psig':
             mf_group[k] = psigmf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'zmf':
             mf_group[k] = zmf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'smf':
             mf_group[k] = smf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'pimf':
             mf_group[k] = pimf(x, shp[0], shp[1], shp[2], shp[3])
         if mf == 'piecemf':
             mf_group[k] = piecemf(x, shp[0], shp[1], shp[2], shp[3])
     return mf_group
def test_piecemf():
    x = np.arange(0, 2.1, 0.1)
    expected = np.r_[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.25, 0.6,
                     0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1.]
    test = piecemf(x, [1, 1.25, 2])
    assert_allclose(test, expected)