204 lines
5.6 KiB
Python
204 lines
5.6 KiB
Python
import pytest
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import numpy as np
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from numpy.testing import assert_equal
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import scipy as sp
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from scipy.sparse import dok_array, dok_matrix
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@pytest.fixture
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def d():
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return {(0, 1): 1, (0, 2): 2}
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@pytest.fixture
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def A():
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return np.array([[0, 1, 2], [0, 0, 0], [0, 0, 0]])
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@pytest.fixture(params=[dok_array, dok_matrix])
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def Asp(request):
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A = request.param((3, 3))
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A[(0, 1)] = 1
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A[(0, 2)] = 2
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yield A
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# Note: __iter__ and comparison dunders act like ndarrays for DOK, not dict.
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# Dunders reversed, or, ror, ior work as dict for dok_matrix, raise for dok_array
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# All other dict methods on DOK format act like dict methods (with extra checks).
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# Start of tests
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################
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def test_dict_methods_covered(d, Asp):
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d_methods = set(dir(d)) - {"__class_getitem__"}
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asp_methods = set(dir(Asp))
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assert d_methods < asp_methods
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def test_clear(d, Asp):
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assert d.items() == Asp.items()
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d.clear()
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Asp.clear()
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assert d.items() == Asp.items()
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def test_copy(d, Asp):
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assert d.items() == Asp.items()
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dd = d.copy()
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asp = Asp.copy()
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assert dd.items() == asp.items()
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assert asp.items() == Asp.items()
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asp[(0, 1)] = 3
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assert Asp[(0, 1)] == 1
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def test_fromkeys_default():
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# test with default value
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edges = [(0, 2), (1, 0), (2, 1)]
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Xdok = dok_array.fromkeys(edges)
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X = [[0, 0, 1], [1, 0, 0], [0, 1, 0]]
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assert_equal(Xdok.toarray(), X)
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def test_fromkeys_positional():
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# test with positional value
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edges = [(0, 2), (1, 0), (2, 1)]
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Xdok = dok_array.fromkeys(edges, -1)
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X = [[0, 0, -1], [-1, 0, 0], [0, -1, 0]]
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assert_equal(Xdok.toarray(), X)
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def test_fromkeys_iterator():
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it = ((a, a % 2) for a in range(4))
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Xdok = dok_array.fromkeys(it)
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X = [[1, 0], [0, 1], [1, 0], [0, 1]]
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assert_equal(Xdok.toarray(), X)
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def test_get(d, Asp):
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assert Asp.get((0, 1)) == d.get((0, 1))
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assert Asp.get((0, 0), 99) == d.get((0, 0), 99)
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with pytest.raises(IndexError, match="out of bounds"):
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Asp.get((0, 4), 99)
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def test_items(d, Asp):
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assert Asp.items() == d.items()
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def test_keys(d, Asp):
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assert Asp.keys() == d.keys()
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def test_pop(d, Asp):
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assert d.pop((0, 1)) == 1
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assert Asp.pop((0, 1)) == 1
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assert d.items() == Asp.items()
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def test_popitem(d, Asp):
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assert d.popitem() == Asp.popitem()
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assert d.items() == Asp.items()
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def test_setdefault(d, Asp):
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assert Asp.setdefault((0, 1), 4) == 1
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assert Asp.setdefault((2, 2), 4) == 4
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d.setdefault((0, 1), 4)
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d.setdefault((2, 2), 4)
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assert d.items() == Asp.items()
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def test_update(d, Asp):
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with pytest.raises(NotImplementedError):
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Asp.update(Asp)
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def test_values(d, Asp):
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# Note: dict.values are strange: d={1: 1}; d.values() == d.values() is False
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# Using list(d.values()) makes them comparable.
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assert list(Asp.values()) == list(d.values())
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def test_dunder_getitem(d, Asp):
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assert Asp[(0, 1)] == d[(0, 1)]
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def test_dunder_setitem(d, Asp):
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Asp[(1, 1)] = 5
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d[(1, 1)] = 5
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assert d.items() == Asp.items()
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def test_dunder_delitem(d, Asp):
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del Asp[(0, 1)]
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del d[(0, 1)]
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assert d.items() == Asp.items()
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def test_dunder_contains(d, Asp):
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assert ((0, 1) in d) == ((0, 1) in Asp)
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assert ((0, 0) in d) == ((0, 0) in Asp)
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def test_dunder_len(d, Asp):
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assert len(d) == len(Asp)
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# Note: dunders reversed, or, ror, ior work as dict for dok_matrix, raise for dok_array
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def test_dunder_reversed(d, Asp):
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if isinstance(Asp, dok_array):
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with pytest.raises(TypeError):
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list(reversed(Asp))
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else:
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list(reversed(Asp)) == list(reversed(d))
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def test_dunder_ior(d, Asp):
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if isinstance(Asp, dok_array):
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with pytest.raises(TypeError):
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Asp |= Asp
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else:
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dd = {(0, 0): 5}
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Asp |= dd
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assert Asp[(0, 0)] == 5
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d |= dd
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assert d.items() == Asp.items()
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dd |= Asp
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assert dd.items() == Asp.items()
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def test_dunder_or(d, Asp):
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if isinstance(Asp, dok_array):
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with pytest.raises(TypeError):
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Asp | Asp
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else:
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assert d | d == Asp | d
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assert d | d == Asp | Asp
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def test_dunder_ror(d, Asp):
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if isinstance(Asp, dok_array):
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with pytest.raises(TypeError):
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Asp | Asp
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with pytest.raises(TypeError):
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d | Asp
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else:
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assert Asp.__ror__(d) == Asp.__ror__(Asp)
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assert d.__ror__(d) == Asp.__ror__(d)
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assert d | Asp
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# Note: comparison dunders, e.g. ==, >=, etc follow np.array not dict
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def test_dunder_eq(A, Asp):
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with np.testing.suppress_warnings() as sup:
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sup.filter(sp.sparse.SparseEfficiencyWarning)
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assert (Asp == Asp).toarray().all()
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assert (A == Asp).all()
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def test_dunder_ne(A, Asp):
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assert not (Asp != Asp).toarray().any()
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assert not (A != Asp).any()
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def test_dunder_lt(A, Asp):
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assert not (Asp < Asp).toarray().any()
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assert not (A < Asp).any()
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def test_dunder_gt(A, Asp):
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assert not (Asp > Asp).toarray().any()
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assert not (A > Asp).any()
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def test_dunder_le(A, Asp):
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with np.testing.suppress_warnings() as sup:
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sup.filter(sp.sparse.SparseEfficiencyWarning)
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assert (Asp <= Asp).toarray().all()
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assert (A <= Asp).all()
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def test_dunder_ge(A, Asp):
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with np.testing.suppress_warnings() as sup:
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sup.filter(sp.sparse.SparseEfficiencyWarning)
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assert (Asp >= Asp).toarray().all()
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assert (A >= Asp).all()
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# Note: iter dunder follows np.array not dict
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def test_dunder_iter(A, Asp):
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if isinstance(Asp, dok_array):
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with pytest.raises(NotImplementedError):
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[a.toarray() for a in Asp]
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else:
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assert all((a == asp).all() for a, asp in zip(A, Asp))
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