Exemple #1
0
    def test_bound_extrapolation_simple(self):
        emd = EMD()
        emd.extrema_detection = "simple"
        emd.nbsym = 1
        emd.DTYPE = np.int64

        S = [0, -3, 1, 4, 3, 2, -2, 0, 1, 2, 1, 0, 1, 2, 5, 4, 0, -2, -1]
        S = np.array(S)
        T = np.arange(len(S))

        pp = emd.prepare_points

        # There are 4 cases for both (L)eft and (R)ight ends. In case of left (L) bound:
        # L1) ,/ -- ext[0] is min, s[0] < ext[1] (1st max)
        # L2) / -- ext[0] is min, s[0] > ext[1] (1st max)
        # L3) ^. -- ext[0] is max, s[0] > ext[1] (1st min)
        # L4) \ -- ext[0] is max, s[0] < ext[1] (1st min)

        ## CASE 1
        # L1, R1 -- no edge MIN & no edge MIN
        s = S.copy()
        t = T.copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([-1, 3, 9, 14, 20], maxExtrema[0].tolist())
        self.assertEqual([4, 4, 2, 5, 5], maxExtrema[1].tolist())
        self.assertEqual([-4, 1, 6, 11, 17, 23], minExtrema[0].tolist())
        self.assertEqual([-2, -3, -2, 0, -2, 0], minExtrema[1].tolist())

        ## CASE 2
        # L2, R2 -- edge MIN, edge MIN
        s = S[1:-1].copy()
        t = np.arange(s.size)

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([-2, 2, 8, 13, 19], maxExtrema[0].tolist())
        self.assertEqual([4, 4, 2, 5, 5], maxExtrema[1].tolist())
        self.assertEqual([0, 5, 10, 16], minExtrema[0].tolist())
        self.assertEqual([-3, -2, 0, -2], minExtrema[1].tolist())

        ## CASE 3
        # L3, R3 -- no edge MAX & no edge MAX
        s = S[2:-3].copy()
        t = np.arange(s.size)

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([-5, 1, 7, 12, 17], maxExtrema[0].tolist())
        self.assertEqual([2, 4, 2, 5, 2], maxExtrema[1].tolist())
        self.assertEqual([-2, 4, 9, 15], minExtrema[0].tolist())
        self.assertEqual([-2, -2, 0, 0], minExtrema[1].tolist())

        ## CASE 4
        # L4, R4 -- edge MAX & edge MAX
        s = S[3:-4].copy()
        t = np.arange(s.size)

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([0, 6, 11], maxExtrema[0].tolist())
        self.assertEqual([4, 2, 5], maxExtrema[1].tolist())
        self.assertEqual([-3, 3, 8, 14], minExtrema[0].tolist())
        self.assertEqual([-2, -2, 0, 0], minExtrema[1].tolist())
Exemple #2
0
    def test_bound_extrapolation_simple(self):
        emd = EMD()
        emd.extrema_detection = "simple"
        emd.nbsym = 1
        emd.DTYPE = np.int64

        S = [0,-3, 1, 4, 3, 2,-2, 0, 1, 2, 1, 0, 1, 2, 5, 4, 0,-2,-1]
        S = np.array(S)
        T = np.arange(len(S))

        pp = emd.prepare_points

        # There are 4 cases for both (L)eft and (R)ight ends. In case of left (L) bound:
        # L1) ,/ -- ext[0] is min, s[0] < ext[1] (1st max)
        # L2) / -- ext[0] is min, s[0] > ext[1] (1st max)
        # L3) ^. -- ext[0] is max, s[0] > ext[1] (1st min)
        # L4) \ -- ext[0] is max, s[0] < ext[1] (1st min)

        ## CASE 1
        # L1, R1 -- no edge MIN & no edge MIN
        s = S.copy()
        t = T.copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([-1,3,9,14,20], maxExtrema[0].tolist())
        self.assertEqual([4,4,2,5,5], maxExtrema[1].tolist())
        self.assertEqual([-4,1,6,11,17,23], minExtrema[0].tolist())
        self.assertEqual([-2,-3,-2,0,-2,0], minExtrema[1].tolist())

        ## CASE 2
        # L2, R2 -- edge MIN, edge MIN
        s = S[1:-1].copy()
        t = T[1:-1].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([-1,3,9,14,20], maxExtrema[0].tolist())
        self.assertEqual([4,4,2,5,5], maxExtrema[1].tolist())
        self.assertEqual([1,6,11,17], minExtrema[0].tolist())
        self.assertEqual([-3,-2,0,-2], minExtrema[1].tolist())

        ## CASE 3
        # L3, R3 -- no edge MAX & no edge MAX
        s, t = S[2:-3], T[2:-3]

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([-3,3,9,14,19], maxExtrema[0].tolist())
        self.assertEqual([2,4,2,5,2], maxExtrema[1].tolist())
        self.assertEqual([0,6,11,17], minExtrema[0].tolist())
        self.assertEqual([-2,-2,0,0], minExtrema[1].tolist())

        ## CASE 4
        # L4, R4 -- edge MAX & edge MAX
        s, t = S[3:-4], T[3:-4]

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        self.assertEqual([3,9,14], maxExtrema[0].tolist())
        self.assertEqual([4,2,5], maxExtrema[1].tolist())
        self.assertEqual([0,6,11,17], minExtrema[0].tolist())
        self.assertEqual([-2,-2,0,0], minExtrema[1].tolist())
Exemple #3
0
    def test_bound_extrapolation_parabol(self):
        emd = EMD()
        emd.extrema_detection = "parabol"
        emd.nbsym = 1
        emd.DTYPE = np.float64

        S = [0, -3, 1, 4, 3, 2, -2, 0, 1, 2, 1, 0, 1, 2, 5, 4, 0, -2, -1]
        S = np.array(S)
        T = np.arange(len(S))

        pp = emd.prepare_points

        # There are 4 cases for both (L)eft and (R)ight ends. In case of left (L) bound:
        # L1) ,/ -- ext[0] is min, s[0] < ext[1] (1st max)
        # L2) / -- ext[0] is min, s[0] > ext[1] (1st max)
        # L3) ^. -- ext[0] is max, s[0] > ext[1] (1st min)
        # L4) \ -- ext[0] is max, s[0] < ext[1] (1st min)

        ## CASE 1
        # L1, R1 -- no edge MIN & no edge MIN
        s = S.copy()
        t = T.copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([-1.393, 3.25, 9, 14.25, 20.083],
                         maxExtrema[0].tolist())
        self.assertEqual([4.125, 4.125, 2, 5.125, 5.125],
                         maxExtrema[1].tolist())
        self.assertEqual([-4.31, 0.929, 6.167, 11, 17.167, 23.333],
                         minExtrema[0].tolist())
        self.assertEqual([-2.083, -3.018, -2.083, 0, -2.042, 0],
                         minExtrema[1].tolist())

        ## CASE 2
        # L2, R2 -- edge MIN, edge MIN
        s = S[1:-1].copy()
        t = T[1:-1].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([-1.25, 3.25, 9, 14.25, 19.75],
                         maxExtrema[0].tolist())
        self.assertEqual([4.125, 4.125, 2, 5.125, 5.125],
                         maxExtrema[1].tolist())
        self.assertEqual([1, 6.167, 11, 17], minExtrema[0].tolist())
        self.assertEqual([-3, -2.083, 0, -2], minExtrema[1].tolist())

        ## CASE 3
        # L3, R3 -- no edge MAX & no edge MAX
        s = S[2:-3].copy()
        t = T[2:-3].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([-2.5, 3.25, 9, 14.25, 19.5], maxExtrema[0].tolist())
        self.assertEqual([2, 4.125, 2, 5.125, 2], maxExtrema[1].tolist())
        self.assertEqual([0.333, 6.167, 11, 17.5], minExtrema[0].tolist())
        self.assertEqual([-2.083, -2.083, 0, 0], minExtrema[1].tolist())

        ## CASE 4
        # L4, R4 -- edge MAX & edge MAX
        s = S[3:-4].copy()
        t = T[3:-4].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([3, 9, 14], maxExtrema[0].tolist())
        self.assertEqual([4, 2, 5], maxExtrema[1].tolist())
        self.assertEqual([-0.167, 6.167, 11, 17], minExtrema[0].tolist())
        self.assertEqual([-2.083, -2.083, 0, 0], minExtrema[1].tolist())
Exemple #4
0
    def test_bound_extrapolation_parabol(self):
        emd = EMD()
        emd.extrema_detection = "parabol"
        emd.nbsym = 1
        emd.DTYPE = np.float64

        S = [0,-3, 1, 4, 3, 2,-2, 0, 1, 2, 1, 0, 1, 2, 5, 4, 0,-2,-1]
        S = np.array(S)
        T = np.arange(len(S))

        pp = emd.prepare_points

        # There are 4 cases for both (L)eft and (R)ight ends. In case of left (L) bound:
        # L1) ,/ -- ext[0] is min, s[0] < ext[1] (1st max)
        # L2) / -- ext[0] is min, s[0] > ext[1] (1st max)
        # L3) ^. -- ext[0] is max, s[0] > ext[1] (1st min)
        # L4) \ -- ext[0] is max, s[0] < ext[1] (1st min)

        ## CASE 1
        # L1, R1 -- no edge MIN & no edge MIN
        s = S.copy()
        t = T.copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([-1.393,3.25,9,14.25,20.083], maxExtrema[0].tolist())
        self.assertEqual([4.125,4.125,2,5.125,5.125], maxExtrema[1].tolist())
        self.assertEqual([-4.31,0.929,6.167,11,17.167,23.333], minExtrema[0].tolist())
        self.assertEqual([-2.083,-3.018,-2.083,0,-2.042,0], minExtrema[1].tolist())

        ## CASE 2
        # L2, R2 -- edge MIN, edge MIN
        s = S[1:-1].copy()
        t = T[1:-1].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([-1.25,3.25,9,14.25,19.75], maxExtrema[0].tolist())
        self.assertEqual([4.125,4.125,2,5.125,5.125], maxExtrema[1].tolist())
        self.assertEqual([1,6.167,11,17], minExtrema[0].tolist())
        self.assertEqual([-3,-2.083,0,-2], minExtrema[1].tolist())

        ## CASE 3
        # L3, R3 -- no edge MAX & no edge MAX
        s = S[2:-3].copy()
        t = T[2:-3].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([-2.5,3.25,9,14.25,19.5], maxExtrema[0].tolist())
        self.assertEqual([2,4.125,2,5.125,2], maxExtrema[1].tolist())
        self.assertEqual([0.333,6.167,11,17.5], minExtrema[0].tolist())
        self.assertEqual([-2.083,-2.083,0,0],     minExtrema[1].tolist())

        ## CASE 4
        # L4, R4 -- edge MAX & edge MAX
        s = S[3:-4].copy()
        t = T[3:-4].copy()

        maxPos, maxVal, minPos, minVal, nz = emd.find_extrema(t, s)

        # Should extrapolate left and right bounds
        maxExtrema, minExtrema = pp(t, s, \
                        maxPos, maxVal, minPos, minVal)

        maxExtrema = np.round(maxExtrema, decimals=3)
        minExtrema = np.round(minExtrema, decimals=3)

        self.assertEqual([3,9,14], maxExtrema[0].tolist())
        self.assertEqual([4,2,5], maxExtrema[1].tolist())
        self.assertEqual([-0.167,6.167,11,17], minExtrema[0].tolist())
        self.assertEqual([-2.083,-2.083,0,0], minExtrema[1].tolist())