From: El Hadi Moussi <moussi@phimeca.com>
Date: Fri, 9 Aug 2024 13:22:50 +0000 (+0200)
Subject: Suppress useless test file
X-Git-Url: http://git.salome-platform.org/gitweb/?a=commitdiff_plain;h=7f06d5184744f4c512997a13a5fba19abac8a05e;p=tools%2Fmedcoupling.git

Suppress useless test file
---

diff --git a/test_compute_torus.py b/test_compute_torus.py
deleted file mode 100644
index 9953c6d7d..000000000
--- a/test_compute_torus.py
+++ /dev/null
@@ -1,2033 +0,0 @@
-import numpy as np
-import scipy as sp
-import scipy.linalg
-
-
-def compute_PCA(X, n_components=1):
-    X_meaned = X - np.mean(X, axis=0)
-    cov_mat = np.cov(X_meaned, rowvar=False)
-    eigen_values, eigen_vectors = np.linalg.eigh(cov_mat)
-    # sort the eigenvalues in descending order
-    sorted_index = np.argsort(eigen_values)[::-1]
-    sorted_eigenvalue = eigen_values[sorted_index]
-    # similarly sort the eigenvectors
-    sorted_eigenvectors = eigen_vectors[:, sorted_index]
-    eigenvector_subset = sorted_eigenvectors[:, 0:n_components]
-    return eigenvector_subset.T
-
-
-def fitPlane3D(points):
-    pca = compute_PCA(points, n_components=3)
-    normal = pca[2]
-    affine_point = np.mean(points @ normal)
-    return normal, affine_point
-
-
-def fitCircle2D(points, pp, bb):
-    A = np.ones((points.shape[0], 3))
-    B = np.zeros((points.shape[0]))
-    A[:, 0] = points[:, 0]
-    A[:, 1] = points[:, 1]
-    B = points[:, 0] ** 2 + points[:, 1] ** 2
-    print(np.abs(B - bb).max())
-    fit, residual, rnk, s = np.linalg.lstsq(A, B, rcond=None)
-    print(fit, residual, rnk, s)
-    a, b, c = fit
-    xc = a / 2
-    yc = b / 2
-    r = np.sqrt(4 * c + a**2 + b**2) / 2
-    return np.array([xc, yc]), r
-
-
-def gram_schmidt(v1, v2):
-    u1 = v1 / np.linalg.norm(v1)  # Normalisation de v1
-    u2 = v2 - np.dot(u1, v2) * u1  # Projection de v2 sur u1
-    u2 = u2 / np.linalg.norm(u2)  # Normalisation de u2
-    return u1, u2
-
-
-def get_normal_plane_vectors(v):
-    # Normalisation du vecteur v
-    v_normalized = v / np.linalg.norm(v)
-    # Construction d'une matrice à partir du vecteur normalisé
-    v_matrix = np.array([v_normalized])
-    # Calcul de l'espace nul de la matrice
-    null_space_matrix = sp.linalg.null_space(v_matrix)
-    # Sélection de deux vecteurs indépendants de l'espace nul
-    u1 = null_space_matrix[:, 0]
-    u2 = null_space_matrix[:, 1]
-    v1, v2 = gram_schmidt(u1, u2)
-    if np.cross(v1, v2) @ v < 0:  # les vecteurs doivent former une base directe
-        v1 = -v1
-    return v1, v2
-
-
-def compute_parameters_torus(k1, k2, coords, normals, mm, pp, bb):
-    var_1 = np.var(k1)
-    var_2 = np.var(k2)
-    if var_1 > var_2:
-        minor_curv = np.mean(k2)
-    else:
-        minor_curv = np.mean(k1)
-    minor_radius = 1 / minor_curv
-    major_radius_points = coords - normals * minor_radius
-    P_mean = np.mean(major_radius_points, axis=0)
-    major_radius_points = major_radius_points - P_mean
-    print(np.abs(major_radius_points - mm).max())
-    normal, affine_point = fitPlane3D(major_radius_points)
-    u, v = get_normal_plane_vectors(normal)
-    p_matrix = np.array([u, v]).T
-    p_major_radius_points = major_radius_points @ p_matrix
-    print(np.abs(p_major_radius_points - pp).max())
-    centre_2D, major_radius = fitCircle2D(p_major_radius_points, pp, bb)
-    centre = centre_2D[0] * u + centre_2D[1] * v + P_mean
-    parameters = {}
-    parameters.update(
-        {
-            "minor_radius": minor_radius,
-            "major_radius": major_radius,
-            "centre": centre,
-        }
-    )
-    print(parameters)
-
-
-def main():
-    compute_parameters_torus(
-        np.array(K1),
-        np.array(K2),
-        np.array(COORDS),
-        np.array(NORMALS),
-        np.array(MM),
-        np.array(PP),
-        np.array(BB),
-    )
-
-
-BB = [
-    1.29988,
-    1.32834,
-    1.31073,
-    1.30217,
-    1.3004,
-    1.32802,
-    1.40886,
-    1.38819,
-    1.15329,
-    1.33224,
-    1.29239,
-    1.23342,
-    1.30238,
-    1.36314,
-    1.32608,
-    1.25758,
-    1.16688,
-    1.13991,
-    1.23348,
-    1.18219,
-    1.2203,
-    1.25984,
-    1.31467,
-    1.29754,
-    1.32701,
-    1.37341,
-    1.3835,
-    1.39346,
-    1.36699,
-    1.38513,
-    1.39164,
-    1.37848,
-    1.33759,
-    1.40887,
-    1.34163,
-    1.33346,
-    1.38385,
-    1.22564,
-    1.23029,
-    1.30197,
-    1.28674,
-    1.368,
-    1.3454,
-    1.34928,
-    1.30838,
-    1.27381,
-    1.24746,
-    1.22588,
-    1.21466,
-    1.18031,
-    1.08016,
-    1.18529,
-    1.23115,
-    1.2101,
-    1.22234,
-    1.21161,
-    1.18967,
-    1.20307,
-    1.23042,
-    1.24136,
-    1.25018,
-    1.22214,
-    1.268,
-    1.33643,
-    1.29568,
-    1.28693,
-    1.25032,
-    1.01616,
-    1.28119,
-    1.24947,
-    1.21533,
-    1.24026,
-    1.20846,
-    1.26105,
-    1.24038,
-    1.27136,
-    1.29468,
-    1.28342,
-    1.28925,
-    1.29826,
-    1.28555,
-    1.29329,
-    1.22736,
-    1.2337,
-    1.30764,
-    1.32819,
-    1.37281,
-    1.40958,
-    1.42911,
-    1.42011,
-    1.41975,
-    1.38649,
-    1.33099,
-    1.28097,
-    1.24976,
-    1.2287,
-    1.22615,
-    1.21312,
-    1.15805,
-    1.10605,
-    1.21257,
-    1.28317,
-    1.2835,
-    1.26095,
-    1.19331,
-    1.27272,
-    1.27796,
-    1.27132,
-    1.34219,
-    1.37059,
-    1.40964,
-    1.44505,
-    1.43081,
-    1.40872,
-    1.36834,
-    1.30892,
-    1.2686,
-    1.26305,
-    1.30879,
-    1.27939,
-    1.28073,
-    1.31929,
-    1.2598,
-    1.22048,
-    1.21601,
-    1.1966,
-    1.20778,
-    1.1939,
-    1.21448,
-    1.23422,
-    1.26638,
-    1.23913,
-    1.17684,
-    1.23806,
-    1.24665,
-    1.24903,
-    1.09784,
-    1.22823,
-    1.22897,
-    1.2352,
-    1.25402,
-    1.21612,
-    1.17462,
-    1.10981,
-    1.21096,
-    1.2808,
-    1.31638,
-    1.37202,
-    1.37594,
-    1.39594,
-    1.45298,
-    1.38753,
-    1.36049,
-    1.36021,
-    1.33335,
-    1.33825,
-    1.40989,
-    1.43406,
-    1.37539,
-    1.40051,
-    1.42711,
-    1.41021,
-    1.38393,
-    1.40263,
-    1.43309,
-    1.36506,
-    1.39896,
-    1.3855,
-    1.35028,
-    1.37377,
-    1.34695,
-    1.35958,
-    1.2953,
-    1.31097,
-    1.35788,
-    1.31656,
-    1.37928,
-    1.28303,
-    1.29909,
-    1.26879,
-    1.2514,
-    1.25047,
-    1.22388,
-    1.23911,
-    1.2314,
-    1.22712,
-    1.23376,
-    1.21774,
-    1.18743,
-    1.19656,
-    1.22343,
-    1.24818,
-    1.23516,
-    1.23684,
-    1.24645,
-    1.27108,
-    1.30362,
-    1.34807,
-    1.28548,
-    1.39272,
-    1.41669,
-    1.37402,
-    1.24369,
-    1.33271,
-    1.38335,
-    1.28888,
-    1.38451,
-    1.37468,
-    1.3168,
-    1.20807,
-    1.29194,
-    1.3191,
-    1.32651,
-    1.31312,
-    1.35904,
-    1.3144,
-    1.36248,
-    1.43151,
-    1.44124,
-    1.36247,
-    1.36509,
-    1.39602,
-    1.37578,
-    1.36368,
-    1.32171,
-    1.29417,
-    1.26564,
-    1.28197,
-    1.26516,
-    1.22019,
-    1.2104,
-    1.18011,
-    1.13635,
-    1.18086,
-    1.20877,
-    1.20591,
-    1.21808,
-    1.21509,
-    1.26505,
-    1.30837,
-    1.35343,
-    1.3891,
-    1.40041,
-    1.31966,
-    1.1857,
-    1.21441,
-    1.35452,
-    1.31039,
-    1.30165,
-    1.34868,
-    1.3405,
-    1.30601,
-    1.42104,
-    1.41801,
-    1.46154,
-    1.38631,
-    1.14847,
-    1.37646,
-    1.30515,
-    1.32861,
-    1.37463,
-    1.3204,
-    1.25174,
-    1.25007,
-    1.25577,
-    1.23818,
-    1.29151,
-    1.28852,
-    1.28247,
-    1.33274,
-    1.25059,
-    1.27221,
-]
-
-
-MM = [
-    [1.05218, 0.439126, 0.0275596],
-    [1.04785, 0.479983, 0.0294504],
-    [1.12058, 0.234585, -0.00338201],
-    [1.14104, 0.0127689, -0.0230176],
-    [1.10571, -0.278786, -0.0472263],
-    [1.07081, -0.425854, -0.0136113],
-    [0.973353, -0.679294, -0.00261489],
-    [0.640175, -0.98912, -0.00373311],
-    [0.422407, -0.987409, 0.0715977],
-    [-0.11622, -1.14838, 0.0373057],
-    [-0.550639, -0.994583, 0.0282317],
-    [-0.895716, -0.656575, 0.040941],
-    [-1.05574, -0.433309, 0.0359594],
-    [-1.01146, -0.583157, 0.0247077],
-    [-1.15094, 0.0372052, 0.0163754],
-    [-1.01934, 0.467392, 0.0344462],
-    [-0.83607, 0.683944, 0.0474789],
-    [-0.388598, 0.994402, 0.0386861],
-    [-0.376419, 1.04489, -0.00144792],
-    [-0.543529, 0.941692, -0.00744857],
-    [-0.842668, 0.714298, -0.00428732],
-    [-1.05887, 0.372359, -0.00547966],
-    [-1.13206, 0.181956, -0.0015887],
-    [-1.13864, -0.0321948, -0.00396496],
-    [-1.12858, -0.230919, -0.0113774],
-    [-1.00934, -0.595529, -0.00810085],
-    [-0.718267, -0.931445, -0.0117962],
-    [-0.385443, -1.11574, -0.0123723],
-    [-0.0539776, -1.16793, -0.0202157],
-    [0.105231, -1.17218, -0.0408898],
-    [0.410452, -1.10595, -0.0270756],
-    [0.606503, -1.00526, -0.0440616],
-    [0.785018, -0.849263, -0.0435556],
-    [0.78877, -0.886978, 0.00841919],
-    [0.871132, -0.763444, 0.0422807],
-    [0.95679, -0.646559, 0.0131272],
-    [0.866666, -0.795453, 0.00141778],
-    [0.847868, -0.711831, -0.0310192],
-    [0.479959, -0.999919, -0.0550382],
-    [-0.00704338, -1.14099, -0.0486256],
-    [-0.545948, -0.994314, -0.0562787],
-    [-0.729652, -0.914116, -0.0411991],
-    [-1.09297, -0.388389, -0.0242567],
-    [-1.14937, -0.168063, -0.0071695],
-    [-1.09596, 0.327538, -0.00916765],
-    [-0.825938, 0.769174, 0.00684957],
-    [-0.413614, 1.03749, 0.000622491],
-    [-0.312815, 1.06207, 0.0267459],
-    [0.268776, 1.06883, 0.0292164],
-    [0.392152, 1.01317, 0.0337524],
-    [0.415459, 0.952647, 0.0341705],
-    [0.220656, 1.06612, -0.00531312],
-    [0.477553, 1.00155, -0.00656638],
-    [0.704037, 0.845239, -0.0170485],
-    [0.669049, 0.880179, -0.0321375],
-    [0.421781, 1.01673, -0.0435539],
-    [0.130592, 1.0829, -0.0535263],
-    [-0.158514, 1.08535, -0.0333546],
-    [-0.383671, 1.0408, -0.0291968],
-    [-0.592747, 0.943422, -0.0185954],
-    [-0.782805, 0.798408, -0.030715],
-    [-0.933645, 0.592057, -0.0458696],
-    [-1.08669, 0.295286, -0.0471632],
-    [-1.14381, 0.167624, 0.0202696],
-    [-1.12565, 0.169003, 0.0224448],
-    [-1.1224, 0.164695, 0.00799367],
-    [-1.11346, 0.102613, -0.00635569],
-    [-0.87524, 0.500256, -0.0801847],
-    [-0.825179, 0.774767, 0.00149167],
-    [-0.57715, 0.95727, 0.00146035],
-    [-0.245189, 1.07481, 0.00174283],
-    [0.0715746, 1.11136, 0.00141126],
-    [0.475719, 0.991036, 0.00349609],
-    [0.54847, 0.979916, -0.00175501],
-    [0.759303, 0.814767, 0.0126634],
-    [0.905798, 0.671487, 0.00192825],
-    [1.03956, 0.462593, 0.000498079],
-    [1.10652, 0.243004, 0.00831135],
-    [1.13246, 0.0825571, 0.0249298],
-    [1.11721, -0.223999, 0.041278],
-    [1.1327, -0.0507068, 0.0136722],
-    [1.12516, -0.165256, 0.00246041],
-    [1.10166, 0.11705, -0.0100355],
-    [1.10996, 0.0405934, -0.029513],
-    [1.14152, -0.0674168, -0.0127305],
-    [1.0266, -0.523655, -0.0313335],
-    [0.701, -0.938803, -0.0317084],
-    [0.184108, -1.17288, -0.0215941],
-    [-0.00457635, -1.19544, 0.000479688],
-    [-0.586835, -1.03718, 0.0017773],
-    [0.40389, -1.12099, -0.00529045],
-    [0.894697, -0.765514, -0.000273007],
-    [1.14658, -0.127762, -0.00997137],
-    [1.01077, 0.509221, 0.00198446],
-    [0.589978, 0.94957, 0.0050153],
-    [0.0948726, 1.10441, -0.0152223],
-    [-0.459667, 1.00742, -0.0251474],
-    [0.0601388, 1.09978, -0.0186445],
-    [-0.0396568, 1.07542, -0.031587],
-    [0.552557, 0.894844, -0.0605588],
-    [0.639852, 0.896196, -0.0377235],
-    [1.06158, 0.395243, 0.00743376],
-    [1.12049, -0.167594, 0.0453045],
-    [1.11863, -0.0983217, 0.0254323],
-    [1.09233, 0.0119581, 0.0153559],
-    [1.03052, 0.459064, -0.0028931],
-    [1.04139, 0.439849, -0.000810073],
-    [1.04791, 0.41619, 0.00694441],
-    [1.12727, -0.267333, 0.00192907],
-    [0.870498, -0.782861, 0.0210384],
-    [0.430566, -1.10647, 0.0145657],
-    [-0.138371, -1.1941, -0.0235351],
-    [-0.120929, -1.19003, -0.00798896],
-    [0.589052, -1.0304, -0.00669611],
-    [1.00562, -0.597545, -0.00804835],
-    [1.14292, -0.0511787, -0.0212672],
-    [1.01783, 0.482296, -0.00862175],
-    [1.0124, 0.487948, -0.00419105],
-    [1.10109, 0.310459, -0.00117018],
-    [1.11781, 0.172919, 0.00343219],
-    [1.03052, 0.467714, 0.000731203],
-    [1.05078, 0.463836, -0.00942715],
-    [0.927494, 0.632111, 0.0114052],
-    [0.622723, 0.912519, 0.0428227],
-    [0.368572, 1.0393, 0.0268776],
-    [0.131449, 1.08594, 0.0507237],
-    [-0.116833, 1.09274, 0.0315559],
-    [-0.362512, 1.03073, 0.0528684],
-    [-0.598413, 0.925375, 0.0335415],
-    [-0.806751, 0.763742, 0.0389321],
-    [-0.975683, 0.560694, 0.0234728],
-    [0.711067, 0.856453, 0.00522918],
-    [0.698304, 0.830188, -0.0108496],
-    [0.843059, 0.726166, 0.00228899],
-    [0.27213, 1.08286, 0.000884279],
-    [0.0116246, 1.11754, -0.0001197],
-    [0.149865, 1.03701, -0.0203214],
-    [-0.20027, 1.09001, 0.00676326],
-    [-0.472005, 1.00308, 0.00833057],
-    [-0.703639, 0.860276, 0.00983825],
-    [-0.923985, 0.632659, 0.010136],
-    [-0.892113, 0.648345, -0.0490424],
-    [-0.52618, 0.947538, -0.0408892],
-    [-0.454733, 0.950303, -0.0271215],
-    [-1.09885, -0.0595824, -0.0416295],
-    [-1.09124, -0.300023, -0.0094494],
-    [-1.05459, -0.45189, 0.0055773],
-    [-0.934393, -0.706345, 0.00420015],
-    [-0.741821, -0.908647, 0.00347728],
-    [-0.442203, -1.09563, 0.00305888],
-    [-0.440351, -1.12208, -0.00519117],
-    [-0.533432, -1.05023, 0.0312364],
-    [-0.744989, -0.897486, 0.052304],
-    [-0.920372, -0.716316, 0.0324806],
-    [-1.04354, -0.494303, 0.0497827],
-    [-1.12861, -0.253905, 0.0229736],
-    [-0.919225, -0.751607, 0.00334249],
-    [-0.566044, -1.0553, 0.0277849],
-    [-0.306417, -1.13205, 0.0542941],
-    [-0.0585354, -1.182, 0.0251293],
-    [0.148655, -1.18533, 0.00308894],
-    [0.465147, -1.09264, 0.00454079],
-    [0.359912, -1.12002, 0.0296904],
-    [0.152287, -1.17452, 0.0348313],
-    [-0.181576, -1.18327, 0.00186421],
-    [-0.0541688, -1.1671, 0.00387793],
-    [-0.643362, -0.992493, 0.00806684],
-    [-0.847912, -0.816419, 0.00882942],
-    [-1.11133, -0.339428, 0.00792329],
-    [-1.00369, -0.60528, 0.00759492],
-    [-0.942388, -0.677389, -0.00297831],
-    [-1.06965, 0.464152, -0.000192445],
-    [-1.12914, -0.142646, 0.00580705],
-    [-1.06569, 0.418651, 0.00105227],
-    [-1.1625, -0.0804709, -0.000631652],
-    [-1.14585, -0.0593998, 0.0415459],
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-]
-
-K1 = [
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-]
-
-if __name__ == "__main__":
-    main()