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import typing
import pytest # type: ignore
from redshift_connector.utils import array_util
walk_array_data: typing.List = [
(
[10, 9, 8, 7, 6],
[
([10, 9, 8, 7, 6], 0, 10),
([10, 9, 8, 7, 6], 1, 9),
([10, 9, 8, 7, 6], 2, 8),
([10, 9, 8, 7, 6], 3, 7),
([10, 9, 8, 7, 6], 4, 6),
],
),
(
[1, 2, [3, 4, 5], 6],
[
([1, 2, [3, 4, 5], 6], 0, 1),
([1, 2, [3, 4, 5], 6], 1, 2),
([3, 4, 5], 0, 3),
([3, 4, 5], 1, 4),
([3, 4, 5], 2, 5),
([1, 2, [3, 4, 5], 6], 3, 6),
],
),
]
@pytest.mark.parametrize("_input", walk_array_data)
def test_walk_array(_input) -> None:
in_val, exp_vals = _input
x: typing.Generator = array_util.walk_array(in_val)
idx: int = 0
for a, b, c in x:
assert a == exp_vals[idx][0]
assert b == exp_vals[idx][1]
assert c == exp_vals[idx][2]
idx += 1
array_flatten_data: typing.List = [
([1, 2, 3, 4], [1, 2, 3, 4]),
([1, [2], 3, 4], [1, 2, 3, 4]),
([1, [2, [3]], 4, [5, [6]]], [1, 2, 3, 4, 5, 6]),
([[1]], [1]),
]
@pytest.mark.parametrize("_input", array_flatten_data)
def test_array_flatten(_input) -> None:
in_val, exp_val = _input
assert 1 == 1
assert list(array_util.array_flatten(in_val)) == exp_val
array_find_first_element_data: typing.List = [
([1], 1),
([None, None, [None, None, 1], 2], 1),
([[[1]]], 1),
([None, None, [None]], None),
]
@pytest.mark.parametrize("_input", array_find_first_element_data)
def test_array_find_first_element(_input) -> None:
in_val, exp_val = _input
assert array_util.array_find_first_element(in_val) == exp_val
array_has_null_data: typing.List = [
([None], True),
([1, 2, 3, 4, [[[None]]]], True),
([1, 2, 3, 4], False),
]
@pytest.mark.parametrize("_input", array_has_null_data)
def test_array_has_null(_input) -> None:
in_val, exp_val = _input
assert array_util.array_has_null(in_val) is exp_val
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