def test_filter_allows_correctly():
"""Tests if the filter allows appropriate items correctly"""
sample_item = {"name": "me"}
result = make_filter(name="me").apply([sample_item])
assert result == [sample_item]
def test_filter_handle_empty_keys():
"""Tests if the filter is capable to process items with no matching keys"""
sample_item = {"name": "me"}
result = make_filter(name="me", age=21).apply([sample_item])
assert result == []
def test_make_filter_0_expected():
filter_obj = make_filter(k1="v1", k2="v2")
result = filter_obj.apply(
[
{"k1": "v1", "k2": "v3"},
{"k1": "v1", "k2": "v3", "k3": "v3"},
]
)
expected_value = []
assert result == expected_value
def test_make_filter_first_func_created_correctly():
sample_data = [
{
"name": "Bill",
"last_name": "Gilbert",
"occupation": "was here",
"type": "person",
},
{"is_dead": True, "kind": "parrot", "type": "bird", "name": "polly"},
{"is_dead": True, "kind": "parrot", "type": "bird", "name": "billy"},
]
result = make_filter(name="billy", type="bird").apply(sample_data)
expected_value = [
{"is_dead": True, "kind": "parrot", "type": "bird", "name": "billy"}
]
assert result == expected_value
def test_make_filter_when_data_has_only_part_of_filtering_keys():
filter_obj = make_filter(k1="v1", k100="v200")
assert filter_obj.apply([{"k1": "v1", "k4": "v4"}]) == []
def test_make_filter_when_data_has_not_filtering_keys():
filter_obj = make_filter(k200="v200", k100="v100")
assert filter_obj.apply([{"k1": "v1", "k2": "v2"}]) == []