| # SPDX-License-Identifier: MIT |
| |
| """ |
| Tests for `attr._funcs`. |
| """ |
| |
| from __future__ import absolute_import, division, print_function |
| |
| from collections import OrderedDict |
| |
| import pytest |
| |
| from hypothesis import assume, given |
| from hypothesis import strategies as st |
| |
| import attr |
| |
| from attr import asdict, assoc, astuple, evolve, fields, has |
| from attr._compat import TYPE, Mapping, Sequence, ordered_dict |
| from attr.exceptions import AttrsAttributeNotFoundError |
| from attr.validators import instance_of |
| |
| from .strategies import nested_classes, simple_classes |
| |
| |
| MAPPING_TYPES = (dict, OrderedDict) |
| SEQUENCE_TYPES = (list, tuple) |
| |
| |
| @pytest.fixture(scope="session", name="C") |
| def _C(): |
| """ |
| Return a simple but fully featured attrs class with an x and a y attribute. |
| """ |
| import attr |
| |
| @attr.s |
| class C(object): |
| x = attr.ib() |
| y = attr.ib() |
| |
| return C |
| |
| |
| class TestAsDict(object): |
| """ |
| Tests for `asdict`. |
| """ |
| |
| @given(st.sampled_from(MAPPING_TYPES)) |
| def test_shallow(self, C, dict_factory): |
| """ |
| Shallow asdict returns correct dict. |
| """ |
| assert {"x": 1, "y": 2} == asdict( |
| C(x=1, y=2), False, dict_factory=dict_factory |
| ) |
| |
| @given(st.sampled_from(MAPPING_TYPES)) |
| def test_recurse(self, C, dict_class): |
| """ |
| Deep asdict returns correct dict. |
| """ |
| assert {"x": {"x": 1, "y": 2}, "y": {"x": 3, "y": 4}} == asdict( |
| C(C(1, 2), C(3, 4)), dict_factory=dict_class |
| ) |
| |
| def test_nested_lists(self, C): |
| """ |
| Test unstructuring deeply nested lists. |
| """ |
| inner = C(1, 2) |
| outer = C([[inner]], None) |
| |
| assert {"x": [[{"x": 1, "y": 2}]], "y": None} == asdict(outer) |
| |
| def test_nested_dicts(self, C): |
| """ |
| Test unstructuring deeply nested dictionaries. |
| """ |
| inner = C(1, 2) |
| outer = C({1: {2: inner}}, None) |
| |
| assert {"x": {1: {2: {"x": 1, "y": 2}}}, "y": None} == asdict(outer) |
| |
| @given(nested_classes, st.sampled_from(MAPPING_TYPES)) |
| def test_recurse_property(self, cls, dict_class): |
| """ |
| Property tests for recursive asdict. |
| """ |
| obj = cls() |
| obj_dict = asdict(obj, dict_factory=dict_class) |
| |
| def assert_proper_dict_class(obj, obj_dict): |
| assert isinstance(obj_dict, dict_class) |
| |
| for field in fields(obj.__class__): |
| field_val = getattr(obj, field.name) |
| if has(field_val.__class__): |
| # This field holds a class, recurse the assertions. |
| assert_proper_dict_class(field_val, obj_dict[field.name]) |
| elif isinstance(field_val, Sequence): |
| dict_val = obj_dict[field.name] |
| for item, item_dict in zip(field_val, dict_val): |
| if has(item.__class__): |
| assert_proper_dict_class(item, item_dict) |
| elif isinstance(field_val, Mapping): |
| # This field holds a dictionary. |
| assert isinstance(obj_dict[field.name], dict_class) |
| |
| for key, val in field_val.items(): |
| if has(val.__class__): |
| assert_proper_dict_class( |
| val, obj_dict[field.name][key] |
| ) |
| |
| assert_proper_dict_class(obj, obj_dict) |
| |
| @given(st.sampled_from(MAPPING_TYPES)) |
| def test_filter(self, C, dict_factory): |
| """ |
| Attributes that are supposed to be skipped are skipped. |
| """ |
| assert {"x": {"x": 1}} == asdict( |
| C(C(1, 2), C(3, 4)), |
| filter=lambda a, v: a.name != "y", |
| dict_factory=dict_factory, |
| ) |
| |
| @given(container=st.sampled_from(SEQUENCE_TYPES)) |
| def test_lists_tuples(self, container, C): |
| """ |
| If recurse is True, also recurse into lists. |
| """ |
| assert { |
| "x": 1, |
| "y": [{"x": 2, "y": 3}, {"x": 4, "y": 5}, "a"], |
| } == asdict(C(1, container([C(2, 3), C(4, 5), "a"]))) |
| |
| @given(container=st.sampled_from(SEQUENCE_TYPES)) |
| def test_lists_tuples_retain_type(self, container, C): |
| """ |
| If recurse and retain_collection_types are True, also recurse |
| into lists and do not convert them into list. |
| """ |
| assert { |
| "x": 1, |
| "y": container([{"x": 2, "y": 3}, {"x": 4, "y": 5}, "a"]), |
| } == asdict( |
| C(1, container([C(2, 3), C(4, 5), "a"])), |
| retain_collection_types=True, |
| ) |
| |
| @given(set_type=st.sampled_from((set, frozenset))) |
| def test_sets_no_retain(self, C, set_type): |
| """ |
| Set types are converted to lists if retain_collection_types=False. |
| """ |
| d = asdict( |
| C(1, set_type((1, 2, 3))), |
| retain_collection_types=False, |
| recurse=True, |
| ) |
| |
| assert {"x": 1, "y": [1, 2, 3]} == d |
| |
| @given(st.sampled_from(MAPPING_TYPES)) |
| def test_dicts(self, C, dict_factory): |
| """ |
| If recurse is True, also recurse into dicts. |
| """ |
| res = asdict(C(1, {"a": C(4, 5)}), dict_factory=dict_factory) |
| |
| assert {"x": 1, "y": {"a": {"x": 4, "y": 5}}} == res |
| assert isinstance(res, dict_factory) |
| |
| @given(simple_classes(private_attrs=False), st.sampled_from(MAPPING_TYPES)) |
| def test_roundtrip(self, cls, dict_class): |
| """ |
| Test dumping to dicts and back for Hypothesis-generated classes. |
| |
| Private attributes don't round-trip (the attribute name is different |
| than the initializer argument). |
| """ |
| instance = cls() |
| dict_instance = asdict(instance, dict_factory=dict_class) |
| |
| assert isinstance(dict_instance, dict_class) |
| |
| roundtrip_instance = cls(**dict_instance) |
| |
| assert instance == roundtrip_instance |
| |
| @given(simple_classes()) |
| def test_asdict_preserve_order(self, cls): |
| """ |
| Field order should be preserved when dumping to an ordered_dict. |
| """ |
| instance = cls() |
| dict_instance = asdict(instance, dict_factory=ordered_dict) |
| |
| assert [a.name for a in fields(cls)] == list(dict_instance.keys()) |
| |
| def test_retain_keys_are_tuples(self): |
| """ |
| retain_collect_types also retains keys. |
| """ |
| |
| @attr.s |
| class A(object): |
| a = attr.ib() |
| |
| instance = A({(1,): 1}) |
| |
| assert {"a": {(1,): 1}} == attr.asdict( |
| instance, retain_collection_types=True |
| ) |
| |
| def test_tuple_keys(self): |
| """ |
| If a key is collection type, retain_collection_types is False, |
| the key is serialized as a tuple. |
| |
| See #646 |
| """ |
| |
| @attr.s |
| class A(object): |
| a = attr.ib() |
| |
| instance = A({(1,): 1}) |
| |
| assert {"a": {(1,): 1}} == attr.asdict(instance) |
| |
| |
| class TestAsTuple(object): |
| """ |
| Tests for `astuple`. |
| """ |
| |
| @given(st.sampled_from(SEQUENCE_TYPES)) |
| def test_shallow(self, C, tuple_factory): |
| """ |
| Shallow astuple returns correct dict. |
| """ |
| assert tuple_factory([1, 2]) == astuple( |
| C(x=1, y=2), False, tuple_factory=tuple_factory |
| ) |
| |
| @given(st.sampled_from(SEQUENCE_TYPES)) |
| def test_recurse(self, C, tuple_factory): |
| """ |
| Deep astuple returns correct tuple. |
| """ |
| assert tuple_factory( |
| [tuple_factory([1, 2]), tuple_factory([3, 4])] |
| ) == astuple(C(C(1, 2), C(3, 4)), tuple_factory=tuple_factory) |
| |
| @given(nested_classes, st.sampled_from(SEQUENCE_TYPES)) |
| def test_recurse_property(self, cls, tuple_class): |
| """ |
| Property tests for recursive astuple. |
| """ |
| obj = cls() |
| obj_tuple = astuple(obj, tuple_factory=tuple_class) |
| |
| def assert_proper_tuple_class(obj, obj_tuple): |
| assert isinstance(obj_tuple, tuple_class) |
| for index, field in enumerate(fields(obj.__class__)): |
| field_val = getattr(obj, field.name) |
| if has(field_val.__class__): |
| # This field holds a class, recurse the assertions. |
| assert_proper_tuple_class(field_val, obj_tuple[index]) |
| |
| assert_proper_tuple_class(obj, obj_tuple) |
| |
| @given(nested_classes, st.sampled_from(SEQUENCE_TYPES)) |
| def test_recurse_retain(self, cls, tuple_class): |
| """ |
| Property tests for asserting collection types are retained. |
| """ |
| obj = cls() |
| obj_tuple = astuple( |
| obj, tuple_factory=tuple_class, retain_collection_types=True |
| ) |
| |
| def assert_proper_col_class(obj, obj_tuple): |
| # Iterate over all attributes, and if they are lists or mappings |
| # in the original, assert they are the same class in the dumped. |
| for index, field in enumerate(fields(obj.__class__)): |
| field_val = getattr(obj, field.name) |
| if has(field_val.__class__): |
| # This field holds a class, recurse the assertions. |
| assert_proper_col_class(field_val, obj_tuple[index]) |
| elif isinstance(field_val, (list, tuple)): |
| # This field holds a sequence of something. |
| expected_type = type(obj_tuple[index]) |
| assert type(field_val) is expected_type |
| for obj_e, obj_tuple_e in zip(field_val, obj_tuple[index]): |
| if has(obj_e.__class__): |
| assert_proper_col_class(obj_e, obj_tuple_e) |
| elif isinstance(field_val, dict): |
| orig = field_val |
| tupled = obj_tuple[index] |
| assert type(orig) is type(tupled) |
| for obj_e, obj_tuple_e in zip( |
| orig.items(), tupled.items() |
| ): |
| if has(obj_e[0].__class__): # Dict key |
| assert_proper_col_class(obj_e[0], obj_tuple_e[0]) |
| if has(obj_e[1].__class__): # Dict value |
| assert_proper_col_class(obj_e[1], obj_tuple_e[1]) |
| |
| assert_proper_col_class(obj, obj_tuple) |
| |
| @given(st.sampled_from(SEQUENCE_TYPES)) |
| def test_filter(self, C, tuple_factory): |
| """ |
| Attributes that are supposed to be skipped are skipped. |
| """ |
| assert tuple_factory([tuple_factory([1])]) == astuple( |
| C(C(1, 2), C(3, 4)), |
| filter=lambda a, v: a.name != "y", |
| tuple_factory=tuple_factory, |
| ) |
| |
| @given(container=st.sampled_from(SEQUENCE_TYPES)) |
| def test_lists_tuples(self, container, C): |
| """ |
| If recurse is True, also recurse into lists. |
| """ |
| assert (1, [(2, 3), (4, 5), "a"]) == astuple( |
| C(1, container([C(2, 3), C(4, 5), "a"])) |
| ) |
| |
| @given(st.sampled_from(SEQUENCE_TYPES)) |
| def test_dicts(self, C, tuple_factory): |
| """ |
| If recurse is True, also recurse into dicts. |
| """ |
| res = astuple(C(1, {"a": C(4, 5)}), tuple_factory=tuple_factory) |
| assert tuple_factory([1, {"a": tuple_factory([4, 5])}]) == res |
| assert isinstance(res, tuple_factory) |
| |
| @given(container=st.sampled_from(SEQUENCE_TYPES)) |
| def test_lists_tuples_retain_type(self, container, C): |
| """ |
| If recurse and retain_collection_types are True, also recurse |
| into lists and do not convert them into list. |
| """ |
| assert (1, container([(2, 3), (4, 5), "a"])) == astuple( |
| C(1, container([C(2, 3), C(4, 5), "a"])), |
| retain_collection_types=True, |
| ) |
| |
| @given(container=st.sampled_from(MAPPING_TYPES)) |
| def test_dicts_retain_type(self, container, C): |
| """ |
| If recurse and retain_collection_types are True, also recurse |
| into lists and do not convert them into list. |
| """ |
| assert (1, container({"a": (4, 5)})) == astuple( |
| C(1, container({"a": C(4, 5)})), retain_collection_types=True |
| ) |
| |
| @given(simple_classes(), st.sampled_from(SEQUENCE_TYPES)) |
| def test_roundtrip(self, cls, tuple_class): |
| """ |
| Test dumping to tuple and back for Hypothesis-generated classes. |
| """ |
| instance = cls() |
| tuple_instance = astuple(instance, tuple_factory=tuple_class) |
| |
| assert isinstance(tuple_instance, tuple_class) |
| |
| roundtrip_instance = cls(*tuple_instance) |
| |
| assert instance == roundtrip_instance |
| |
| @given(set_type=st.sampled_from((set, frozenset))) |
| def test_sets_no_retain(self, C, set_type): |
| """ |
| Set types are converted to lists if retain_collection_types=False. |
| """ |
| d = astuple( |
| C(1, set_type((1, 2, 3))), |
| retain_collection_types=False, |
| recurse=True, |
| ) |
| |
| assert (1, [1, 2, 3]) == d |
| |
| |
| class TestHas(object): |
| """ |
| Tests for `has`. |
| """ |
| |
| def test_positive(self, C): |
| """ |
| Returns `True` on decorated classes. |
| """ |
| assert has(C) |
| |
| def test_positive_empty(self): |
| """ |
| Returns `True` on decorated classes even if there are no attributes. |
| """ |
| |
| @attr.s |
| class D(object): |
| pass |
| |
| assert has(D) |
| |
| def test_negative(self): |
| """ |
| Returns `False` on non-decorated classes. |
| """ |
| assert not has(object) |
| |
| |
| class TestAssoc(object): |
| """ |
| Tests for `assoc`. |
| """ |
| |
| @given(slots=st.booleans(), frozen=st.booleans()) |
| def test_empty(self, slots, frozen): |
| """ |
| Empty classes without changes get copied. |
| """ |
| |
| @attr.s(slots=slots, frozen=frozen) |
| class C(object): |
| pass |
| |
| i1 = C() |
| with pytest.deprecated_call(): |
| i2 = assoc(i1) |
| |
| assert i1 is not i2 |
| assert i1 == i2 |
| |
| @given(simple_classes()) |
| def test_no_changes(self, C): |
| """ |
| No changes means a verbatim copy. |
| """ |
| i1 = C() |
| with pytest.deprecated_call(): |
| i2 = assoc(i1) |
| |
| assert i1 is not i2 |
| assert i1 == i2 |
| |
| @given(simple_classes(), st.data()) |
| def test_change(self, C, data): |
| """ |
| Changes work. |
| """ |
| # Take the first attribute, and change it. |
| assume(fields(C)) # Skip classes with no attributes. |
| field_names = [a.name for a in fields(C)] |
| original = C() |
| chosen_names = data.draw(st.sets(st.sampled_from(field_names))) |
| change_dict = {name: data.draw(st.integers()) for name in chosen_names} |
| |
| with pytest.deprecated_call(): |
| changed = assoc(original, **change_dict) |
| |
| for k, v in change_dict.items(): |
| assert getattr(changed, k) == v |
| |
| @given(simple_classes()) |
| def test_unknown(self, C): |
| """ |
| Wanting to change an unknown attribute raises an |
| AttrsAttributeNotFoundError. |
| """ |
| # No generated class will have a four letter attribute. |
| with pytest.raises( |
| AttrsAttributeNotFoundError |
| ) as e, pytest.deprecated_call(): |
| assoc(C(), aaaa=2) |
| |
| assert ( |
| "aaaa is not an attrs attribute on {cls!r}.".format(cls=C), |
| ) == e.value.args |
| |
| def test_frozen(self): |
| """ |
| Works on frozen classes. |
| """ |
| |
| @attr.s(frozen=True) |
| class C(object): |
| x = attr.ib() |
| y = attr.ib() |
| |
| with pytest.deprecated_call(): |
| assert C(3, 2) == assoc(C(1, 2), x=3) |
| |
| def test_warning(self): |
| """ |
| DeprecationWarning points to the correct file. |
| """ |
| |
| @attr.s |
| class C(object): |
| x = attr.ib() |
| |
| with pytest.warns(DeprecationWarning) as wi: |
| assert C(2) == assoc(C(1), x=2) |
| |
| assert __file__ == wi.list[0].filename |
| |
| |
| class TestEvolve(object): |
| """ |
| Tests for `evolve`. |
| """ |
| |
| @given(slots=st.booleans(), frozen=st.booleans()) |
| def test_empty(self, slots, frozen): |
| """ |
| Empty classes without changes get copied. |
| """ |
| |
| @attr.s(slots=slots, frozen=frozen) |
| class C(object): |
| pass |
| |
| i1 = C() |
| i2 = evolve(i1) |
| |
| assert i1 is not i2 |
| assert i1 == i2 |
| |
| @given(simple_classes()) |
| def test_no_changes(self, C): |
| """ |
| No changes means a verbatim copy. |
| """ |
| i1 = C() |
| i2 = evolve(i1) |
| |
| assert i1 is not i2 |
| assert i1 == i2 |
| |
| @given(simple_classes(), st.data()) |
| def test_change(self, C, data): |
| """ |
| Changes work. |
| """ |
| # Take the first attribute, and change it. |
| assume(fields(C)) # Skip classes with no attributes. |
| field_names = [a.name for a in fields(C)] |
| original = C() |
| chosen_names = data.draw(st.sets(st.sampled_from(field_names))) |
| # We pay special attention to private attributes, they should behave |
| # like in `__init__`. |
| change_dict = { |
| name.replace("_", ""): data.draw(st.integers()) |
| for name in chosen_names |
| } |
| changed = evolve(original, **change_dict) |
| for name in chosen_names: |
| assert getattr(changed, name) == change_dict[name.replace("_", "")] |
| |
| @given(simple_classes()) |
| def test_unknown(self, C): |
| """ |
| Wanting to change an unknown attribute raises an |
| AttrsAttributeNotFoundError. |
| """ |
| # No generated class will have a four letter attribute. |
| with pytest.raises(TypeError) as e: |
| evolve(C(), aaaa=2) |
| |
| if hasattr(C, "__attrs_init__"): |
| expected = ( |
| "__attrs_init__() got an unexpected keyword argument 'aaaa'" |
| ) |
| else: |
| expected = "__init__() got an unexpected keyword argument 'aaaa'" |
| |
| assert e.value.args[0].endswith(expected) |
| |
| def test_validator_failure(self): |
| """ |
| TypeError isn't swallowed when validation fails within evolve. |
| """ |
| |
| @attr.s |
| class C(object): |
| a = attr.ib(validator=instance_of(int)) |
| |
| with pytest.raises(TypeError) as e: |
| evolve(C(a=1), a="some string") |
| m = e.value.args[0] |
| |
| assert m.startswith("'a' must be <{type} 'int'>".format(type=TYPE)) |
| |
| def test_private(self): |
| """ |
| evolve() acts as `__init__` with regards to private attributes. |
| """ |
| |
| @attr.s |
| class C(object): |
| _a = attr.ib() |
| |
| assert evolve(C(1), a=2)._a == 2 |
| |
| with pytest.raises(TypeError): |
| evolve(C(1), _a=2) |
| |
| with pytest.raises(TypeError): |
| evolve(C(1), a=3, _a=2) |
| |
| def test_non_init_attrs(self): |
| """ |
| evolve() handles `init=False` attributes. |
| """ |
| |
| @attr.s |
| class C(object): |
| a = attr.ib() |
| b = attr.ib(init=False, default=0) |
| |
| assert evolve(C(1), a=2).a == 2 |
| |
| def test_regression_attrs_classes(self): |
| """ |
| evolve() can evolve fields that are instances of attrs classes. |
| |
| Regression test for #804 |
| """ |
| |
| @attr.s |
| class Cls1(object): |
| param1 = attr.ib() |
| |
| @attr.s |
| class Cls2(object): |
| param2 = attr.ib() |
| |
| obj2a = Cls2(param2="a") |
| obj2b = Cls2(param2="b") |
| |
| obj1a = Cls1(param1=obj2a) |
| |
| assert Cls1(param1=Cls2(param2="b")) == attr.evolve( |
| obj1a, param1=obj2b |
| ) |
| |
| def test_dicts(self): |
| """ |
| evolve() can replace an attrs class instance with a dict. |
| |
| See #806 |
| """ |
| |
| @attr.s |
| class Cls1(object): |
| param1 = attr.ib() |
| |
| @attr.s |
| class Cls2(object): |
| param2 = attr.ib() |
| |
| obj2a = Cls2(param2="a") |
| obj2b = {"foo": 42, "param2": 42} |
| |
| obj1a = Cls1(param1=obj2a) |
| |
| assert Cls1({"foo": 42, "param2": 42}) == attr.evolve( |
| obj1a, param1=obj2b |
| ) |
