814 lines
23 KiB
Python
814 lines
23 KiB
Python
# SPDX-License-Identifier: MIT
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"""
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Tests for `attr._funcs`.
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"""
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import re
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from collections import OrderedDict
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from typing import Generic, NamedTuple, TypeVar
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import pytest
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from hypothesis import assume, given
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from hypothesis import strategies as st
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import attr
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from attr import asdict, assoc, astuple, evolve, fields, has
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from attr._compat import Mapping, Sequence
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from attr.exceptions import AttrsAttributeNotFoundError
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from attr.validators import instance_of
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from .strategies import nested_classes, simple_classes
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MAPPING_TYPES = (dict, OrderedDict)
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SEQUENCE_TYPES = (list, tuple)
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@pytest.fixture(scope="session", name="C")
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def _C():
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"""
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Return a simple but fully featured attrs class with an x and a y attribute.
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"""
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import attr
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@attr.s
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class C:
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x = attr.ib()
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y = attr.ib()
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return C
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class TestAsDict:
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"""
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Tests for `asdict`.
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"""
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@given(st.sampled_from(MAPPING_TYPES))
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def test_shallow(self, C, dict_factory):
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"""
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Shallow asdict returns correct dict.
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"""
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assert {"x": 1, "y": 2} == asdict(
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C(x=1, y=2), False, dict_factory=dict_factory
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)
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@given(st.sampled_from(MAPPING_TYPES))
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def test_recurse(self, C, dict_class):
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"""
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Deep asdict returns correct dict.
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"""
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assert {"x": {"x": 1, "y": 2}, "y": {"x": 3, "y": 4}} == asdict(
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C(C(1, 2), C(3, 4)), dict_factory=dict_class
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)
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def test_nested_lists(self, C):
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"""
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Test unstructuring deeply nested lists.
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"""
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inner = C(1, 2)
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outer = C([[inner]], None)
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assert {"x": [[{"x": 1, "y": 2}]], "y": None} == asdict(outer)
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def test_nested_dicts(self, C):
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"""
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Test unstructuring deeply nested dictionaries.
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"""
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inner = C(1, 2)
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outer = C({1: {2: inner}}, None)
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assert {"x": {1: {2: {"x": 1, "y": 2}}}, "y": None} == asdict(outer)
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@given(nested_classes, st.sampled_from(MAPPING_TYPES))
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def test_recurse_property(self, cls, dict_class):
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"""
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Property tests for recursive asdict.
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"""
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obj = cls()
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obj_dict = asdict(obj, dict_factory=dict_class)
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def assert_proper_dict_class(obj, obj_dict):
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assert isinstance(obj_dict, dict_class)
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for field in fields(obj.__class__):
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field_val = getattr(obj, field.name)
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if has(field_val.__class__):
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# This field holds a class, recurse the assertions.
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assert_proper_dict_class(field_val, obj_dict[field.name])
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elif isinstance(field_val, Sequence):
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dict_val = obj_dict[field.name]
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for item, item_dict in zip(field_val, dict_val):
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if has(item.__class__):
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assert_proper_dict_class(item, item_dict)
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elif isinstance(field_val, Mapping):
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# This field holds a dictionary.
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assert isinstance(obj_dict[field.name], dict_class)
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for key, val in field_val.items():
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if has(val.__class__):
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assert_proper_dict_class(
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val, obj_dict[field.name][key]
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)
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assert_proper_dict_class(obj, obj_dict)
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@given(st.sampled_from(MAPPING_TYPES))
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def test_filter(self, C, dict_factory):
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"""
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Attributes that are supposed to be skipped are skipped.
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"""
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assert {"x": {"x": 1}} == asdict(
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C(C(1, 2), C(3, 4)),
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filter=lambda a, v: a.name != "y",
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dict_factory=dict_factory,
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)
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@given(container=st.sampled_from(SEQUENCE_TYPES))
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def test_lists_tuples(self, container, C):
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"""
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If recurse is True, also recurse into lists.
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"""
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assert {
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"x": 1,
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"y": [{"x": 2, "y": 3}, {"x": 4, "y": 5}, "a"],
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} == asdict(C(1, container([C(2, 3), C(4, 5), "a"])))
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@given(container=st.sampled_from(SEQUENCE_TYPES))
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def test_lists_tuples_retain_type(self, container, C):
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"""
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If recurse and retain_collection_types are True, also recurse
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into lists and do not convert them into list.
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"""
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assert {
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"x": 1,
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"y": container([{"x": 2, "y": 3}, {"x": 4, "y": 5}, "a"]),
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} == asdict(
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C(1, container([C(2, 3), C(4, 5), "a"])),
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retain_collection_types=True,
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)
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@given(set_type=st.sampled_from((set, frozenset)))
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def test_sets_no_retain(self, C, set_type):
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"""
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Set types are converted to lists if retain_collection_types=False.
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"""
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d = asdict(
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C(1, set_type((1, 2, 3))),
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retain_collection_types=False,
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recurse=True,
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)
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assert {"x": 1, "y": [1, 2, 3]} == d
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@given(st.sampled_from(MAPPING_TYPES))
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def test_dicts(self, C, dict_factory):
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"""
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If recurse is True, also recurse into dicts.
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"""
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res = asdict(C(1, {"a": C(4, 5)}), dict_factory=dict_factory)
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assert {"x": 1, "y": {"a": {"x": 4, "y": 5}}} == res
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assert isinstance(res, dict_factory)
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@given(simple_classes(private_attrs=False), st.sampled_from(MAPPING_TYPES))
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def test_roundtrip(self, cls, dict_class):
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"""
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Test dumping to dicts and back for Hypothesis-generated classes.
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Private attributes don't round-trip (the attribute name is different
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than the initializer argument).
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"""
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instance = cls()
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dict_instance = asdict(instance, dict_factory=dict_class)
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assert isinstance(dict_instance, dict_class)
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roundtrip_instance = cls(**dict_instance)
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assert instance == roundtrip_instance
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@given(simple_classes())
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def test_asdict_preserve_order(self, cls):
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"""
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Field order should be preserved when dumping to an ordered_dict.
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"""
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instance = cls()
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dict_instance = asdict(instance, dict_factory=dict)
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assert [a.name for a in fields(cls)] == list(dict_instance.keys())
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def test_retain_keys_are_tuples(self):
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"""
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retain_collect_types also retains keys.
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"""
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@attr.s
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class A:
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a = attr.ib()
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instance = A({(1,): 1})
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assert {"a": {(1,): 1}} == attr.asdict(
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instance, retain_collection_types=True
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)
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def test_tuple_keys(self):
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"""
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If a key is collection type, retain_collection_types is False,
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the key is serialized as a tuple.
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See #646
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"""
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@attr.s
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class A:
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a = attr.ib()
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instance = A({(1,): 1})
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assert {"a": {(1,): 1}} == attr.asdict(instance)
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def test_named_tuple_retain_type(self):
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"""
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Namedtuples can be serialized if retain_collection_types is True.
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See #1164
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"""
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class Coordinates(NamedTuple):
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lat: float
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lon: float
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@attr.s
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class A:
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coords: Coordinates = attr.ib()
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instance = A(Coordinates(50.419019, 30.516225))
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assert {"coords": Coordinates(50.419019, 30.516225)} == attr.asdict(
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instance, retain_collection_types=True
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)
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def test_type_error_with_retain_type(self):
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"""
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Serialization that fails with TypeError leaves the error through if
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they're not tuples.
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See #1164
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"""
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message = "__new__() missing 1 required positional argument (asdict)"
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class Coordinates(list):
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def __init__(self, first, *rest):
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if isinstance(first, list):
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raise TypeError(message)
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super().__init__([first, *rest])
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@attr.s
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class A:
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coords: Coordinates = attr.ib()
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instance = A(Coordinates(50.419019, 30.516225))
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with pytest.raises(TypeError, match=re.escape(message)):
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attr.asdict(instance, retain_collection_types=True)
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class TestAsTuple:
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"""
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Tests for `astuple`.
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"""
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@given(st.sampled_from(SEQUENCE_TYPES))
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def test_shallow(self, C, tuple_factory):
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"""
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Shallow astuple returns correct dict.
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"""
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assert tuple_factory([1, 2]) == astuple(
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C(x=1, y=2), False, tuple_factory=tuple_factory
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)
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@given(st.sampled_from(SEQUENCE_TYPES))
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def test_recurse(self, C, tuple_factory):
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"""
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Deep astuple returns correct tuple.
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"""
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assert tuple_factory(
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[tuple_factory([1, 2]), tuple_factory([3, 4])]
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) == astuple(C(C(1, 2), C(3, 4)), tuple_factory=tuple_factory)
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@given(nested_classes, st.sampled_from(SEQUENCE_TYPES))
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def test_recurse_property(self, cls, tuple_class):
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"""
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Property tests for recursive astuple.
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"""
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obj = cls()
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obj_tuple = astuple(obj, tuple_factory=tuple_class)
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def assert_proper_tuple_class(obj, obj_tuple):
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assert isinstance(obj_tuple, tuple_class)
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for index, field in enumerate(fields(obj.__class__)):
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field_val = getattr(obj, field.name)
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if has(field_val.__class__):
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# This field holds a class, recurse the assertions.
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assert_proper_tuple_class(field_val, obj_tuple[index])
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assert_proper_tuple_class(obj, obj_tuple)
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@given(nested_classes, st.sampled_from(SEQUENCE_TYPES))
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def test_recurse_retain(self, cls, tuple_class):
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"""
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Property tests for asserting collection types are retained.
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"""
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obj = cls()
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obj_tuple = astuple(
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obj, tuple_factory=tuple_class, retain_collection_types=True
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)
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def assert_proper_col_class(obj, obj_tuple):
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# Iterate over all attributes, and if they are lists or mappings
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# in the original, assert they are the same class in the dumped.
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for index, field in enumerate(fields(obj.__class__)):
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field_val = getattr(obj, field.name)
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if has(field_val.__class__):
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# This field holds a class, recurse the assertions.
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assert_proper_col_class(field_val, obj_tuple[index])
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elif isinstance(field_val, (list, tuple)):
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# This field holds a sequence of something.
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expected_type = type(obj_tuple[index])
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assert type(field_val) is expected_type
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for obj_e, obj_tuple_e in zip(field_val, obj_tuple[index]):
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if has(obj_e.__class__):
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assert_proper_col_class(obj_e, obj_tuple_e)
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elif isinstance(field_val, dict):
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orig = field_val
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tupled = obj_tuple[index]
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assert type(orig) is type(tupled)
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for obj_e, obj_tuple_e in zip(
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orig.items(), tupled.items()
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):
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if has(obj_e[0].__class__): # Dict key
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assert_proper_col_class(obj_e[0], obj_tuple_e[0])
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if has(obj_e[1].__class__): # Dict value
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assert_proper_col_class(obj_e[1], obj_tuple_e[1])
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assert_proper_col_class(obj, obj_tuple)
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@given(st.sampled_from(SEQUENCE_TYPES))
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def test_filter(self, C, tuple_factory):
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"""
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Attributes that are supposed to be skipped are skipped.
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"""
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assert tuple_factory([tuple_factory([1])]) == astuple(
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C(C(1, 2), C(3, 4)),
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filter=lambda a, v: a.name != "y",
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tuple_factory=tuple_factory,
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)
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@given(container=st.sampled_from(SEQUENCE_TYPES))
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def test_lists_tuples(self, container, C):
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"""
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If recurse is True, also recurse into lists.
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"""
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assert (1, [(2, 3), (4, 5), "a"]) == astuple(
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C(1, container([C(2, 3), C(4, 5), "a"]))
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)
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@given(st.sampled_from(SEQUENCE_TYPES))
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def test_dicts(self, C, tuple_factory):
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"""
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If recurse is True, also recurse into dicts.
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"""
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res = astuple(C(1, {"a": C(4, 5)}), tuple_factory=tuple_factory)
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assert tuple_factory([1, {"a": tuple_factory([4, 5])}]) == res
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assert isinstance(res, tuple_factory)
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@given(container=st.sampled_from(SEQUENCE_TYPES))
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def test_lists_tuples_retain_type(self, container, C):
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"""
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If recurse and retain_collection_types are True, also recurse
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into lists and do not convert them into list.
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"""
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assert (1, container([(2, 3), (4, 5), "a"])) == astuple(
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C(1, container([C(2, 3), C(4, 5), "a"])),
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retain_collection_types=True,
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)
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@given(container=st.sampled_from(MAPPING_TYPES))
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def test_dicts_retain_type(self, container, C):
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"""
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If recurse and retain_collection_types are True, also recurse
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into lists and do not convert them into list.
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"""
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assert (1, container({"a": (4, 5)})) == astuple(
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C(1, container({"a": C(4, 5)})), retain_collection_types=True
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)
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@given(simple_classes(), st.sampled_from(SEQUENCE_TYPES))
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def test_roundtrip(self, cls, tuple_class):
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"""
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Test dumping to tuple and back for Hypothesis-generated classes.
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"""
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instance = cls()
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tuple_instance = astuple(instance, tuple_factory=tuple_class)
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assert isinstance(tuple_instance, tuple_class)
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roundtrip_instance = cls(*tuple_instance)
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assert instance == roundtrip_instance
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@given(set_type=st.sampled_from((set, frozenset)))
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def test_sets_no_retain(self, C, set_type):
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"""
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Set types are converted to lists if retain_collection_types=False.
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"""
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d = astuple(
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C(1, set_type((1, 2, 3))),
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retain_collection_types=False,
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recurse=True,
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)
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assert (1, [1, 2, 3]) == d
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def test_named_tuple_retain_type(self):
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"""
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Namedtuples can be serialized if retain_collection_types is True.
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See #1164
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"""
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class Coordinates(NamedTuple):
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lat: float
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lon: float
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@attr.s
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class A:
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coords: Coordinates = attr.ib()
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instance = A(Coordinates(50.419019, 30.516225))
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assert (Coordinates(50.419019, 30.516225),) == attr.astuple(
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instance, retain_collection_types=True
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)
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def test_type_error_with_retain_type(self):
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"""
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Serialization that fails with TypeError leaves the error through if
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they're not tuples.
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See #1164
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"""
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message = "__new__() missing 1 required positional argument (astuple)"
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class Coordinates(list):
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def __init__(self, first, *rest):
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if isinstance(first, list):
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raise TypeError(message)
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super().__init__([first, *rest])
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@attr.s
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class A:
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coords: Coordinates = attr.ib()
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instance = A(Coordinates(50.419019, 30.516225))
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with pytest.raises(TypeError, match=re.escape(message)):
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attr.astuple(instance, retain_collection_types=True)
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class TestHas:
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"""
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Tests for `has`.
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"""
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def test_positive(self, C):
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"""
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Returns `True` on decorated classes.
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"""
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assert has(C)
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def test_positive_empty(self):
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"""
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Returns `True` on decorated classes even if there are no attributes.
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"""
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@attr.s
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class D:
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pass
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assert has(D)
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def test_negative(self):
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"""
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Returns `False` on non-decorated classes.
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"""
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assert not has(object)
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def test_generics(self):
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"""
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Works with generic classes.
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"""
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T = TypeVar("T")
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@attr.define
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class A(Generic[T]):
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a: T
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assert has(A)
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assert has(A[str])
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# Verify twice, since there's caching going on.
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assert has(A[str])
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def test_generics_negative(self):
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"""
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Returns `False` on non-decorated generic classes.
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"""
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T = TypeVar("T")
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class A(Generic[T]):
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a: T
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assert not has(A)
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assert not has(A[str])
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# Verify twice, since there's caching going on.
|
|
assert not has(A[str])
|
|
|
|
|
|
class TestAssoc:
|
|
"""
|
|
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:
|
|
pass
|
|
|
|
i1 = C()
|
|
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()
|
|
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}
|
|
|
|
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:
|
|
assoc(C(), aaaa=2)
|
|
|
|
assert (f"aaaa is not an attrs attribute on {C!r}.",) == e.value.args
|
|
|
|
def test_frozen(self):
|
|
"""
|
|
Works on frozen classes.
|
|
"""
|
|
|
|
@attr.s(frozen=True)
|
|
class C:
|
|
x = attr.ib()
|
|
y = attr.ib()
|
|
|
|
assert C(3, 2) == assoc(C(1, 2), x=3)
|
|
|
|
|
|
class TestEvolve:
|
|
"""
|
|
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:
|
|
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:
|
|
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 <class 'int'>")
|
|
|
|
def test_private(self):
|
|
"""
|
|
evolve() acts as `__init__` with regards to private attributes.
|
|
"""
|
|
|
|
@attr.s
|
|
class C:
|
|
_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:
|
|
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:
|
|
param1 = attr.ib()
|
|
|
|
@attr.s
|
|
class Cls2:
|
|
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:
|
|
param1 = attr.ib()
|
|
|
|
@attr.s
|
|
class Cls2:
|
|
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
|
|
)
|
|
|
|
def test_no_inst(self):
|
|
"""
|
|
Missing inst argument raises a TypeError like Python would.
|
|
"""
|
|
with pytest.raises(
|
|
TypeError, match=r"evolve\(\) takes 1 positional argument"
|
|
):
|
|
evolve(x=1)
|
|
|
|
def test_too_many_pos_args(self):
|
|
"""
|
|
More than one positional argument raises a TypeError like Python would.
|
|
"""
|
|
with pytest.raises(
|
|
TypeError,
|
|
match=r"evolve\(\) takes 1 positional argument, but 2 were given",
|
|
):
|
|
evolve(1, 2)
|
|
|
|
def test_can_change_inst(self):
|
|
"""
|
|
If the instance is passed by positional argument, a field named `inst`
|
|
can be changed.
|
|
"""
|
|
|
|
@attr.define
|
|
class C:
|
|
inst: int
|
|
|
|
assert C(42) == evolve(C(23), inst=42)
|