def test_list(self):

vec = SparseVector([1, 0, 2, 0, 3, 0])

assert vec.to_list() == [1, 0, 2, 0, 3, 0]

assert vec.to_numpy().tolist() == [1, 0, 2, 0, 3, 0]

assert vec.indices() == [0, 2, 4]

def test_list_dimensions(self):

with pytest.raises(ValueError) as error:

SparseVector([1, 0, 2, 0, 3, 0], 6)

assert str(error.value) == 'extra argument'

def test_ndarray(self):

vec = SparseVector(np.array([1, 0, 2, 0, 3, 0]))

assert vec.to_list() == [1, 0, 2, 0, 3, 0]

assert vec.indices() == [0, 2, 4]

def test_dict(self):

vec = SparseVector({2: 2, 4: 3, 0: 1, 3: 0}, 6)

assert vec.to_list() == [1, 0, 2, 0, 3, 0]

assert vec.indices() == [0, 2, 4]

def test_dict_no_dimensions(self):

with pytest.raises(ValueError) as error:

SparseVector({0: 1, 2: 2, 4: 3})

assert str(error.value) == 'missing dimensions'

def test_coo_array(self):

arr = coo_array(np.array([1, 0, 2, 0, 3, 0]))

vec = SparseVector(arr)

assert vec.to_list() == [1, 0, 2, 0, 3, 0]

assert vec.indices() == [0, 2, 4]

def test_coo_array_dimensions(self):

with pytest.raises(ValueError) as error:

SparseVector(coo_array(np.array([1, 0, 2, 0, 3, 0])), 6)

assert str(error.value) == 'extra argument'

def test_dok_array(self):

arr = coo_array(np.array([1, 0, 2, 0, 3, 0])).todok()

vec = SparseVector(arr)

assert vec.to_list() == [1, 0, 2, 0, 3, 0]

assert vec.indices() == [0, 2, 4]

def test_repr(self):

assert repr(SparseVector([1, 0, 2, 0, 3, 0])) == 'SparseVector({0: 1.0, 2: 2.0, 4: 3.0}, 6)'

assert str(SparseVector([1, 0, 2, 0, 3, 0])) == 'SparseVector({0: 1.0, 2: 2.0, 4: 3.0}, 6)'

def test_dimensions(self):

assert SparseVector([1, 0, 2, 0, 3, 0]).dimensions() == 6

def test_indices(self):

assert SparseVector([1, 0, 2, 0, 3, 0]).indices() == [0, 2, 4]

def test_values(self):

assert SparseVector([1, 0, 2, 0, 3, 0]).values() == [1, 2, 3]

def test_to_coo(self):

assert SparseVector([1, 0, 2, 0, 3, 0]).to_coo().toarray().tolist() == [[1, 0, 2, 0, 3, 0]]

def test_zero_vector_text(self):

vec = SparseVector({}, 3)