def test_converting_functions(): arr_list = [1, 2, 3, 4] arr_matrix = Matrix(((1, 2), (3, 4))) # list arr_ndim_array = MutableDenseNDimArray(arr_list, (2, 2)) assert isinstance(arr_ndim_array, MutableDenseNDimArray) assert arr_matrix.tolist() == arr_ndim_array.tolist() # Matrix arr_ndim_array = MutableDenseNDimArray(arr_matrix) assert isinstance(arr_ndim_array, MutableDenseNDimArray) assert arr_matrix.tolist() == arr_ndim_array.tolist() assert arr_matrix.shape == arr_ndim_array.shape
def test_ndim_array_converting(): dense_array = MutableDenseNDimArray([1, 2, 3, 4], (2, 2)) alist = dense_array.tolist() assert alist == [[1, 2], [3, 4]] matrix = dense_array.tomatrix() assert isinstance(matrix, Matrix) for i, ai in enumerate(dense_array): assert ai == matrix[i] assert matrix.shape == dense_array.shape assert MutableDenseNDimArray(matrix) == dense_array assert MutableDenseNDimArray(matrix.as_immutable()) == dense_array assert MutableDenseNDimArray(matrix.as_mutable()) == dense_array sparse_array = MutableSparseNDimArray([1, 2, 3, 4], (2, 2)) alist = sparse_array.tolist() assert alist == [[1, 2], [3, 4]] matrix = sparse_array.tomatrix() assert isinstance(matrix, SparseMatrix) pytest.raises(ValueError, lambda: MutableSparseNDimArray([1]*6, (2, 2, 2)).tomatrix()) for i, ai in enumerate(sparse_array): assert ai == matrix[i] assert matrix.shape == sparse_array.shape assert MutableSparseNDimArray(matrix) == sparse_array assert MutableSparseNDimArray(matrix.as_immutable()) == sparse_array assert MutableSparseNDimArray(matrix.as_mutable()) == sparse_array
def test_higher_dimenions(): m3 = MutableDenseNDimArray(range(10, 34), (2, 3, 4)) assert m3.tolist() == [[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]] assert m3._get_tuple_index(0) == (0, 0, 0) assert m3._get_tuple_index(1) == (0, 0, 1) assert m3._get_tuple_index(4) == (0, 1, 0) assert m3._get_tuple_index(12) == (1, 0, 0) assert str( m3 ) == '[[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]]' m3_rebuilt = MutableDenseNDimArray([[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]]) assert m3 == m3_rebuilt m3_other = MutableDenseNDimArray( [[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]], (2, 3, 4)) assert m3 == m3_other
def test_ndim_array_initiation(): arr_with_one_element = MutableDenseNDimArray([23]) assert len(arr_with_one_element) == 1 assert arr_with_one_element[0] == 23 assert arr_with_one_element.rank() == 1 pytest.raises(ValueError, lambda: arr_with_one_element[1]) arr_with_symbol_element = MutableDenseNDimArray([Symbol('x')]) assert len(arr_with_symbol_element) == 1 assert arr_with_symbol_element[0] == Symbol('x') assert arr_with_symbol_element.rank() == 1 number5 = 5 vector = MutableDenseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5,) assert vector.rank() == 1 pytest.raises(ValueError, lambda: arr_with_one_element[5]) vector = MutableSparseNDimArray.zeros(number5) assert len(vector) == number5 assert vector.shape == (number5,) assert not vector._sparse_array assert vector.rank() == 1 n_dim_array = MutableDenseNDimArray(range(3**4), (3, 3, 3, 3,)) assert len(n_dim_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == (3, 3, 3, 3) assert n_dim_array.rank() == 4 pytest.raises(ValueError, lambda: n_dim_array[0, 0, 0, 3]) pytest.raises(ValueError, lambda: n_dim_array[3, 0, 0, 0]) pytest.raises(ValueError, lambda: n_dim_array[3**4]) array_shape = (3, 3, 3, 3) sparse_array = MutableSparseNDimArray.zeros(*array_shape) assert len(sparse_array._sparse_array) == 0 assert len(sparse_array) == 3 * 3 * 3 * 3 assert n_dim_array.shape == array_shape assert n_dim_array.rank() == 4 one_dim_array = MutableDenseNDimArray([2, 3, 1]) assert len(one_dim_array) == 3 assert one_dim_array.shape == (3,) assert one_dim_array.rank() == 1 assert one_dim_array.tolist() == [2, 3, 1] shape = (3, 3) array_with_many_args = MutableSparseNDimArray.zeros(*shape) assert len(array_with_many_args) == 3 * 3 assert array_with_many_args.shape == shape assert array_with_many_args[0, 0] == 0 assert array_with_many_args.rank() == 2 pytest.raises(TypeError, lambda: MutableDenseNDimArray(1)) pytest.raises(TypeError, lambda: MutableDenseNDimArray([1, 2], shape=(1.2, 3))) pytest.raises(ValueError, lambda: MutableDenseNDimArray([[1, 2], [3]])) b = MutableDenseNDimArray([1, 2, 3, 4], shape=(2, 2)) c = MutableDenseNDimArray(b) assert c.shape == (2, 2) a2 = MutableDenseNDimArray([[2, 3], [4, 5]]) pytest.raises(ValueError, lambda: a2[10]) pytest.raises(ValueError, lambda: a2[1, 1, 1]) pytest.raises(ValueError, lambda: a2[3, 3])