adjusted faulty test
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@ -972,7 +972,7 @@ class Grid:
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"""
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def most_frequent(stencil: np.ndarray,
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selection: set,
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rng: NumpyRngSeed):
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rng):
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me = stencil[stencil.size//2]
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if not selection or me in selection:
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unique, counts = np.unique(stencil,return_counts=True)
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@ -352,8 +352,8 @@ class TestGrid:
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random.vicinity_offset(selection=selection_inverse,invert_selection=not invert)
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def test_vicinity_offset_selection_empty(self,random):
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assert random.vicinity_offset(selection=[],invert_selection=False) == random and \
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random.vicinity_offset(selection=[],invert_selection=True) == random.vicinity_offset()
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assert random.vicinity_offset(selection=None,invert_selection=False) == random.vicinity_offset() and \
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random.vicinity_offset(selection=None,invert_selection=True ) == random.vicinity_offset()
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@pytest.mark.parametrize('periodic',[True,False])
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