<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def stride(self):
 """Step per axis between neighboring points of a uniform grid. If the grid contains axes that are not uniform, ``stride`` has a ``NaN`` entry. For degenerate (length 1) axes, ``stride`` has value ``0.0``. Returns ------- stride : numpy.array Array of dtype ``float`` and length `ndim`. Examples -------- array([ 1., 2.]) NaN returned for non-uniform dimension: array([ 1., nan]) 0.0 returned for degenerate dimension: array([ 1., 0.]) """

        # Cache for efficiency instead of re-computing
        if self.__stride is None:
            strd = []
            for i in range(self.ndim):
                if not self.is_uniform_byaxis[i]:
                    strd.append(float('nan'))
                elif self.nondegen_byaxis[i]:
                    strd.append(self.extent[i] / (self.shape[i] - 1.0))
                else:
                    strd.append(0.0)
            self.__stride = np.array(strd)

        return self.__stride.copy()