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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_triangles(self, var, coords=None, convert_radian=True, copy=False, src_crs=None, target_crs=None, nans=None, stacklevel=1):
 """ Get the of the given coordinate. Parameters %(CFDecoder.get_triangles.parameters)s Returns ------- %(CFDecoder.get_triangles.returns)s Notes ----- If the ``'location'`` attribute is set to ``'node'``, a delaunay triangulation is performed using the :class:`matplotlib.tri.Triangulation` class. .. todo:: Implement the visualization for UGrid data shown on the edge of the triangles"""

        warn("The 'get_triangles' method is depreceated and will be removed "
             "soon! Use the 'get_cell_node_coord' method!",
             DeprecationWarning, stacklevel=stacklevel)
        from matplotlib.tri import Triangulation

        if coords is None:
            coords = self.ds.coords

        def get_coord(coord):
            return coords.get(coord, self.ds.coords.get(coord))

        mesh = self.get_mesh(var, coords)
        nodes = self.get_nodes(mesh, coords)
        if any(n is None for n in nodes):
            raise ValueError("Could not find the nodes variables!")
        xvert, yvert = nodes
        xvert = xvert.values
        yvert = yvert.values
        loc = var.attrs.get('location', 'face')
        if loc == 'face':
            triangles = get_coord(
                mesh.attrs.get('face_node_connectivity', '')).values
            if triangles is None:
                raise ValueError(
                    "Could not find the connectivity information!")
        elif loc == 'node':
            triangles = None
        else:
            raise ValueError(
                "Could not interprete location attribute (%s) of mesh "
                "variable %s!" % (loc, mesh.name))

        if convert_radian:
            for coord in nodes:
                if coord.attrs.get('units') == 'radian':
                    coord = coord * 180. / np.pi
        if src_crs is not None and src_crs != target_crs:
            if target_crs is None:
                raise ValueError(
                    "Found %s for the source crs but got None for the "
                    "target_crs!" % (src_crs, ))
            xvert = xvert[triangles].ravel()
            yvert = yvert[triangles].ravel()
            arr = target_crs.transform_points(src_crs, xvert, yvert)
            xvert = arr[:, 0]
            yvert = arr[:, 1]
            if loc == 'face':
                triangles = np.reshape(range(len(xvert)), (len(xvert) // 3,
                                                           3))

        return Triangulation(xvert, yvert, triangles)