Class bhkPackedNiTriStripsShape

Generator which produces a tuple of integers for each vertex to ease detection of duplicate/close enough to remove vertices. The precision parameter denote number of significant digits behind the comma.

For vertexprecision, 3 seems usually enough (maybe we'll have to increase this at some point).

>>> shape = NifFormat.bhkPackedNiTriStripsShape()
>>> data = NifFormat.hkPackedNiTriStripsData()
>>> shape.data = data
>>> shape.num_sub_shapes = 2
>>> shape.sub_shapes.update_size()
>>> data.num_vertices = 3
>>> shape.sub_shapes[0].num_vertices = 2
>>> shape.sub_shapes[1].num_vertices = 1
>>> data.vertices.update_size()
>>> data.vertices[0].x = 0.0
>>> data.vertices[0].y = 0.1
>>> data.vertices[0].z = 0.2
>>> data.vertices[1].x = 1.0
>>> data.vertices[1].y = 1.1
>>> data.vertices[1].z = 1.2
>>> data.vertices[2].x = 2.0
>>> data.vertices[2].y = 2.1
>>> data.vertices[2].z = 2.2
>>> list(shape.get_vertex_hash_generator())
[(0, (0, 100, 200)), (0, (1000, 1100, 1200)), (1, (2000, 2100, 2200))]
>>> list(shape.get_vertex_hash_generator(subshape_index=0))
[(0, 100, 200), (1000, 1100, 1200)]
>>> list(shape.get_vertex_hash_generator(subshape_index=1))
[(2000, 2100, 2200)]

Parameters:

• vertexprecision (float) - Precision to be used for vertices.

Returns:

A generator yielding a hash value for each vertex.

Generator which produces a tuple of integers, or None in degenerate case, for each triangle to ease detection of duplicate triangles.

>>> shape = NifFormat.bhkPackedNiTriStripsShape()
>>> data = NifFormat.hkPackedNiTriStripsData()
>>> shape.data = data
>>> data.num_triangles = 6
>>> data.triangles.update_size()
>>> data.triangles[0].triangle.v_1 = 0
>>> data.triangles[0].triangle.v_2 = 1
>>> data.triangles[0].triangle.v_3 = 2
>>> data.triangles[1].triangle.v_1 = 2
>>> data.triangles[1].triangle.v_2 = 1
>>> data.triangles[1].triangle.v_3 = 3
>>> data.triangles[2].triangle.v_1 = 3
>>> data.triangles[2].triangle.v_2 = 2
>>> data.triangles[2].triangle.v_3 = 1
>>> data.triangles[3].triangle.v_1 = 3
>>> data.triangles[3].triangle.v_2 = 1
>>> data.triangles[3].triangle.v_3 = 2
>>> data.triangles[4].triangle.v_1 = 0
>>> data.triangles[4].triangle.v_2 = 0
>>> data.triangles[4].triangle.v_3 = 3
>>> data.triangles[5].triangle.v_1 = 1
>>> data.triangles[5].triangle.v_2 = 3
>>> data.triangles[5].triangle.v_3 = 4
>>> list(shape.get_triangle_hash_generator())
[(0, 1, 2), (1, 3, 2), (1, 3, 2), (1, 2, 3), None, (1, 3, 4)]

Returns:

A generator yielding a hash value for each triangle.