def test_table_resource():
with tmpfile('csv') as filename:
csv = CSV(filename, 'w', schema='{x: int, y: int}')
csv.extend([[1, 2], [10, 20]])
t = Table(filename)
assert isinstance(t.data, CSV)
assert list(compute(t)) == list(csv)
def test_compute():
assert list(compute(t['amount'] + 1)) == [101, 201]
def test_compute():
assert compute(t) == data
def test_resources_fail():
t = TableSymbol('t', '{x:int, y:int}')
d = t[t['x'] > 100]
with pytest.raises(ValueError):
compute(d)
def test_into_nd_array_column_failure():
tble = Table(L, columns=['id', 'name', 'balance'])
expr = tble[tble['balance'] < 0]
colarray = into(nd.array, expr)
assert len(list(compute(expr))) == len(colarray)
def test_into_nd_array_selection():
tble = Table(L, columns=['id', 'name', 'balance'])
expr = tble[tble['balance'] < 0]
selarray = into(nd.array, expr)
assert len(list(compute(expr))) == len(selarray)
def test_into_np_ndarray_column():
tble = Table(L, columns=['id', 'name', 'balance'])
expr = tble[tble['balance'] < 0]['name']
colarray = into(np.ndarray, expr)
assert len(list(compute(expr))) == len(colarray)