Disabled external gits
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import time
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import pytest
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import json
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import sys
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import igl
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import numpy as np
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sys.path.append('../')
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sys.path.append('../src')
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import json
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from tracer_utils import intersection_event, find_edge_point,averaged_principal_curvatures, trace
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from tracer_helper import Mesh
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eps=1e-6
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with open('test_data.json', 'r') as infile:
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homework_data = json.load(infile)
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@pytest.mark.timeout(0.5)
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@pytest.mark.parametrize("data", homework_data[0])
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def test_intersection_event(data):
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ground_truth_t1, ground_truth_u1, ground_truth_E1, a1_orig, a1_dir, b1_orig, b1_dir, epsilon = data
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a1_orig = np.array(a1_orig, dtype = float)
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a1_dir = np.array(a1_dir, dtype = float)
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b1_orig = np.array(b1_orig, dtype = float)
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b1_dir = np.array(b1_dir, dtype = float)
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student_t1, student_u1, student_E1 = intersection_event(a1_orig, a1_dir, b1_orig, b1_dir, epsilon)
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if (ground_truth_t1 == None):
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assert ground_truth_t1 == student_t1
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assert ground_truth_u1 == student_u1
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assert ground_truth_E1 == student_E1
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else:
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assert np.linalg.norm(ground_truth_t1 - student_t1) < eps
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assert np.linalg.norm(ground_truth_u1 - student_u1) < eps
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assert np.linalg.norm(ground_truth_E1 - student_E1) < eps
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@pytest.mark.timeout(0.5)
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def test_find_edge_point():
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ground_truth_edge_point, ground_truth_is_boundary_point, v, f, a3_orig, a3_dir = homework_data[1]
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ground_truth_edge_point = np.array(ground_truth_edge_point, dtype=float)
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v = np.array(v, dtype=float)
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f = np.array(f, dtype=int)
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a3_orig = np.array(a3_orig, dtype=float)
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a3_dir = np.array(a3_dir, dtype=float)
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m = Mesh(v, f)
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student_edge_point, student_is_boundary_point = find_edge_point(m, a3_orig, a3_dir)
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assert np.linalg.norm(ground_truth_edge_point - student_edge_point) < eps
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assert ground_truth_is_boundary_point == student_is_boundary_point
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@pytest.mark.timeout(0.5)
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def test_averaged_principal_curvatures():
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ground_truth_k1,ground_truth_k2,ground_truth_v1,ground_truth_v2,ground_truth_n, a4_orig, v, f, num_neighbors, epsilon = homework_data[2]
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ground_truth_k1 = np.array(ground_truth_k1, dtype=float)
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ground_truth_k2 = np.array(ground_truth_k2, dtype=float)
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ground_truth_v1 = np.array(ground_truth_v1, dtype=float)
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ground_truth_v2 = np.array(ground_truth_v2, dtype=float)
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ground_truth_n = np.array(ground_truth_n, dtype=float)
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a4_orig = np.array(a4_orig, dtype=float)
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v = np.array(v, dtype=float)
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f = np.array(f, dtype=int)
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m = Mesh(v, f)
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student_k1,student_k2,student_v1,student_v2,student_n = averaged_principal_curvatures(a4_orig, m, num_neighbors, epsilon)
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assert np.linalg.norm(ground_truth_k1 - student_k1) < eps
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assert np.linalg.norm(ground_truth_k2 - student_k2) < eps
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assert np.linalg.norm(ground_truth_v1 - student_v1) < eps
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assert np.linalg.norm(ground_truth_v2 - student_v2) < eps
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assert np.linalg.norm(ground_truth_n - student_n) < eps
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@pytest.mark.timeout(0.5)
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def test_trace_1():
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ground_truth_P1, ground_truth_A1, ground_truth_PP1, vertex_idx, v, f, num_steps, epsilon, backward_trace, num_neighbors = homework_data[3]
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ground_truth_P1 = np.array(ground_truth_P1, dtype=float)
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ground_truth_A1 = np.array(ground_truth_A1, dtype=float)
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ground_truth_PP1 = np.empty(ground_truth_PP1, dtype=float)
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v = np.array(v, dtype=float)
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f = np.array(f, dtype=int)
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m = Mesh(v, f)
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student_P1, student_A1, student_PP1 = trace(vertex_idx, m, num_steps, epsilon, True, backward_trace, num_neighbors)
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assert np.linalg.norm(ground_truth_P1 - student_P1) < eps
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assert np.linalg.norm(ground_truth_A1 - student_A1) < eps
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assert np.linalg.norm(ground_truth_PP1 - student_PP1) < eps
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@pytest.mark.timeout(0.5)
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def test_trace_2():
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ground_truth_P1, ground_truth_A1, ground_truth_PP1, vertex_idx, v, f, num_steps, epsilon, backward_trace, num_neighbors = homework_data[4]
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ground_truth_P1 = np.array(ground_truth_P1, dtype=float)
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ground_truth_A1 = np.array(ground_truth_A1, dtype=float)
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ground_truth_PP1 = np.empty(ground_truth_PP1, dtype=float)
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v = np.array(v, dtype=float)
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f = np.array(f, dtype=int)
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m = Mesh(v, f)
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student_P1, student_A1, student_PP1 = trace(vertex_idx, m, num_steps, epsilon, False, backward_trace, num_neighbors)
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assert np.linalg.norm(ground_truth_P1 - student_P1) < eps
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assert np.linalg.norm(ground_truth_A1 - student_A1) < eps
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assert np.linalg.norm(ground_truth_PP1 - student_PP1) < eps
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@@ -0,0 +1 @@
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[[[0.47057934424900016, 0.5094988870935965, 0, [-23.093492, -8.037475, 0.0], [28.741263, 30.437796, 0.0], [6.346344, -7.239107, 0.0], [-31.236165, 26.54575, 0.0], 1e-06], [null, null, 1, [-23.093492, -8.037475, 0.0], [31.236165, -26.54575, 0.0], [6.346344, -7.239107, 0.0], [-31.236165, 26.54575, 0.0], 1e-06]], [[6.945839826846992, -0.5696345351701145, 1.0086978183236321], false, [[6.964142322540283, -0.5750147104263306, 0.6868969202041626], [7.000217437744141, -0.6324173212051392, 1.0339537858963013], [6.784910370224459, -0.38383013010025024, 0.9339532852172852], [6.908111095428467, -0.2818911373615265, 0.6514014601707458], [6.927146911621094, -0.11774207651615143, 0.9152407050132751], [6.960897922515869, -0.44519713521003723, 1.2305725812911987], [6.9369916915893555, -0.20618999004364014, 1.1846444606781006]], [[1, 0, 2], [2, 0, 3], [2, 3, 4], [5, 1, 2], [2, 4, 6], [5, 2, 6]], [6.869522, -0.474084, 0.817323], [0.050116, -0.032483, 0.090725]], [1.9830129729572104, 3.778827309874611, 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9], [9, 4, 11], [5, 4, 9Line truncated
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