How to use the porespy.filters.apply_chords function in porespy

def test_chord_length_distribution_2D(self):
        chords = ps.filters.apply_chords(self.im2D)
        ps.metrics.chord_length_distribution(chords, normalization='length')

def test_chord_length_distribution_3D(self):
        chords = ps.filters.apply_chords(self.im3D)
        ps.metrics.chord_length_distribution(chords, normalization='length')

def test_apply_chords_axis2(self):
        c = ps.filters.apply_chords(im=self.im, spacing=3, axis=2)
        assert c.sum() == 23752
        c = ps.filters.apply_chords(im=self.im, axis=2)
        assert c.sum() == 103347

def test_apply_chords_axis2(self):
        c = ps.filters.apply_chords(im=self.im, spacing=3, axis=2)
        assert c.sum() == 23752
        c = ps.filters.apply_chords(im=self.im, axis=2)
        assert c.sum() == 103347

def test_apply_chords_without_trimming(self):
        c = ps.filters.apply_chords(im=self.im, trim_edges=False)
        assert c.sum() == 125043
        c = ps.filters.apply_chords(im=self.im, spacing=3, trim_edges=False)
        assert c.sum() == 31215

def test_apply_chords_axis1(self):
        c = ps.filters.apply_chords(im=self.im, spacing=3, axis=1)
        assert c.sum() == 23422
        c = ps.filters.apply_chords(im=self.im, axis=1)
        assert c.sum() == 102205