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