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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 compute_curl(self, vector_field):
 """Computes the curl of a vector field over the mesh. While the vector field is point-based, the curl will be cell-based. The approximation is based on .. math:: n\\cdot curl(F) = \\lim_{A\\to 0} |A|^{-1} <\\int_{dGamma}, F> dr; see <https://en.wikipedia.org/wiki/Curl_(mathematics)>. Actually, to approximate the integral, one would only need the projection of the vector field onto the edges at the midpoint of the edges. """

        # Compute the projection of A on the edge at each edge midpoint.
        # Take the average of `vector_field` at the endpoints to get the
        # approximate value at the edge midpoint.
        A = 0.5 * numpy.sum(vector_field[self.idx_hierarchy], axis=0)
        # sum of <edge, A> for all three edges
        sum_edge_dot_A = numpy.einsum("ijk, ijk->j", self.half_edge_coords, A)

        # Get normalized vector orthogonal to triangle
        z = numpy.cross(self.half_edge_coords[0], self.half_edge_coords[1])

        # Now compute
        #
        #    curl = z / ||z|| * sum_edge_dot_A / |A|.
        #
        # Since ||z|| = 2*|A|, one can save a sqrt and do
        #
        #    curl = z * sum_edge_dot_A * 0.5 / |A|^2.
        #
        curl = z * (0.5 * sum_edge_dot_A / self.cell_volumes ** 2)[..., None]
        return curl