demosys/geometry/cube.py
def cube(width, height, depth, center=(0.0, 0.0, 0.0), normals=True, uvs=True) -> VAO:
    """
    Creates a cube VAO with normals and texture coordinates

    Args:
        width (float): Width of the cube
        height (float): Height of the cube
        depth (float): Depth of the cube

    Keyword Args:
        center: center of the cube as a 3-component tuple
        normals: (bool) Include normals
        uvs: (bool) include uv coordinates

    Returns:
        A :py:class:`demosys.opengl.vao.VAO` instance
    """
    width, height, depth = width / 2.0, height / 2.0, depth / 2.0

    pos = numpy.array([
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] + height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] + depth,
    ], dtype=numpy.float32)

    if normals:
        normal_data = numpy.array([
            -0, 0, 1,
            -0, 0, 1,
            -0, 0, 1,
            0, 0, 1,
            0, 0, 1,
            0, 0, 1,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
        ], dtype=numpy.float32)

    if uvs:
        uvs_data = numpy.array([
            1, 0,
            1, 1,
            0, 0,
            1, 1,
            0, 1,
            0, 0,
            1, 0,
            1, 1,
            0, 0,
            1, 1,
            0, 1,
            0, 0,
            1, 1,
            0, 1,
            0, 0,
            1, 1,
            0, 0,
            1, 0,
            0, 1,
            0, 0,
            1, 0,
            0, 1,
            1, 0,
            1, 1,
            1, 0,
            1, 1,
            0, 1,
            1, 0,
            0, 1,
            0, 0,
            1, 1,
            0, 1,
            1, 0,
            0, 1,
            0, 0,
            1, 0
        ], dtype=numpy.float32)

    vao = VAO("geometry:cube")

    # Add buffers
    vao.buffer(pos, '3f', ['in_position'])
    if normals:
        vao.buffer(normal_data, '3f', ['in_normal'])
    if uvs:
        vao.buffer(uvs_data, '2f', ['in_uv'])

    return vao
def cube(width, height, depth, center=(0.0, 0.0, 0.0), normals=True, uvs=True) -> VAO:
    """
    Creates a cube VAO with normals and texture coordinates

    Args:
        width (float): Width of the cube
        height (float): Height of the cube
        depth (float): Depth of the cube

    Keyword Args:
        center: center of the cube as a 3-component tuple
        normals: (bool) Include normals
        uvs: (bool) include uv coordinates

    Returns:
        A :py:class:`demosys.opengl.vao.VAO` instance
    """
    width, height, depth = width / 2.0, height / 2.0, depth / 2.0

    pos = numpy.array([
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] - height, center[2] - depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] + width, center[1] + height, center[2] + depth,
        center[0] - width, center[1] + height, center[2] - depth,
        center[0] - width, center[1] + height, center[2] + depth,
        center[0] + width, center[1] + height, center[2] + depth,
    ], dtype=numpy.float32)

    if normals:
        normal_data = numpy.array([
            -0, 0, 1,
            -0, 0, 1,
            -0, 0, 1,
            0, 0, 1,
            0, 0, 1,
            0, 0, 1,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            1, 0, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            0, -1, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            -1, -0, 0,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 0, -1,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
            0, 1, 0,
        ], dtype=numpy.float32)

    if uvs:
        uvs_data = numpy.array([
            1, 0,
            1, 1,
            0, 0,
            1, 1,
            0, 1,
            0, 0,
            1, 0,
            1, 1,
            0, 0,
            1, 1,
            0, 1,
            0, 0,
            1, 1,
            0, 1,
            0, 0,
            1, 1,
            0, 0,
            1, 0,
            0, 1,
            0, 0,
            1, 0,
            0, 1,
            1, 0,
            1, 1,
            1, 0,
            1, 1,
            0, 1,
            1, 0,
            0, 1,
            0, 0,
            1, 1,
            0, 1,
            1, 0,
            0, 1,
            0, 0,
            1, 0
        ], dtype=numpy.float32)

    vao = VAO("geometry:cube")

    # Add buffers
    vao.buffer(pos, '3f', ['in_position'])
    if normals:
        vao.buffer(normal_data, '3f', ['in_normal'])
    if uvs:
        vao.buffer(uvs_data, '2f', ['in_uv'])

    return vao
def cube ( width , height , depth , center = ( 0.0 , 0.0 , 0.0 ) , normals = True , uvs = True ) -> VAO : width , height , depth = width / 2.0 , height / 2.0 , depth / 2.0 pos = numpy . array ( [ center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] - height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] - depth , center [ 0 ] - width , center [ 1 ] + height , center [ 2 ] + depth , center [ 0 ] + width , center [ 1 ] + height , center [ 2 ] + depth , ] , dtype = numpy . float32 ) if normals : normal_data = numpy . array ( [ - 0 , 0 , 1 , - 0 , 0 , 1 , - 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , - 1 , - 0 , 0 , - 1 , - 0 , 0 , - 1 , - 0 , 0 , - 1 , - 0 , 0 , - 1 , - 0 , 0 , - 1 , - 0 , 0 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 0 , - 1 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , ] , dtype = numpy . float32 ) if uvs : uvs_data = numpy . array ( [ 1 , 0 , 1 , 1 , 0 , 0 , 1 , 1 , 0 , 1 , 0 , 0 , 1 , 0 , 1 , 1 , 0 , 0 , 1 , 1 , 0 , 1 , 0 , 0 , 1 , 1 , 0 , 1 , 0 , 0 , 1 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 1 , 0 , 1 , 1 , 1 , 0 , 1 , 1 , 0 , 1 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 1 , 0 , 1 , 1 , 0 , 0 , 1 , 0 , 0 , 1 , 0 ] , dtype = numpy . float32 ) vao = VAO ( "geometry:cube" ) # Add buffers vao . buffer ( pos , '3f' , [ 'in_position' ] ) if normals : vao . buffer ( normal_data , '3f' , [ 'in_normal' ] ) if uvs : vao . buffer ( uvs_data , '2f' , [ 'in_uv' ] ) return vao
Creates a cube VAO with normals and texture coordinates

    Args:
        width (float): Width of the cube
        height (float): Height of the cube
        depth (float): Depth of the cube

    Keyword Args:
        center: center of the cube as a 3-component tuple
        normals: (bool) Include normals
        uvs: (bool) include uv coordinates

    Returns:
        A :py:class:`demosys.opengl.vao.VAO` instance
Creates a cube VAO with normals and texture coordinates