import unittest
import numpy as np
import pysal.lib as pysal
from .. import mixture_smoothing as m_s


class MS_Tester(unittest.TestCase):
    """Mixture_Smoothing Unit Tests"""
    def setUp(self):
        self.e = np.array([10, 5, 12, 20])
        self.b = np.array([100, 150, 80, 200])

    def test_NP_Mixture_Smoother(self):
        """Test the main class"""
        mix = m_s.NP_Mixture_Smoother(self.e, self.b)
        np.testing.assert_array_almost_equal(mix.r, np.array(
            [0.10982278, 0.03445531, 0.11018404, 0.11018604]))
        np.testing.assert_array_almost_equal(
            mix.category, np.array([1, 0, 1, 1]))
        #self.failUnless(mix.getSeed(), (np.array([ 0.5,  0.5]), np.array([ 0.03333333,
        #    0.15      ])))
        left, right = mix.getSeed()
        np.testing.assert_array_almost_equal(left, np.array([0.5, 0.5]))
        np.testing.assert_array_almost_equal(
            right, np.array([0.03333333, 0.15]))
        d = mix.mixalg()
        np.testing.assert_array_almost_equal(
            d['mix_den'], np.array([0., 0., 0., 0.]))
        np.testing.assert_array_almost_equal(d['gradient'], np.array([0.]))
        np.testing.assert_array_almost_equal(d['p'], np.array([1.]))
        np.testing.assert_array_almost_equal(
            d['grid'], np.array([11.27659574]))
        self.assertEqual(d['k'], 1)
        self.assertEqual(d['accuracy'], 1.0)
        left, right = mix.getRateEstimates()
        np.testing.assert_array_almost_equal(
            left, np.array([0.0911574, 0.0911574,
                            0.0911574, 0.0911574]))
        np.testing.assert_array_almost_equal(right, np.array([1, 1, 1, 1]))


if __name__ == "__main__":
    unittest.main()
