528 lines
17 KiB
Python
528 lines
17 KiB
Python
"""
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Tests for `attr._funcs`.
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"""
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from __future__ import absolute_import, division, print_function
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from collections import Mapping, OrderedDict, Sequence
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import pytest
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from hypothesis import HealthCheck, assume, given, settings
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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 TYPE
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from attr.exceptions import AttrsAttributeNotFoundError
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from attr.validators import instance_of
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from .utils 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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class TestAsDict(object):
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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 {
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"x": 1,
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"y": 2,
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} == asdict(C(x=1, y=2), False, dict_factory=dict_factory)
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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 {
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"x": {"x": 1, "y": 2},
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"y": {"x": 3, "y": 4},
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} == asdict(C(
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C(1, 2),
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C(3, 4),
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), dict_factory=dict_class)
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@given(nested_classes, st.sampled_from(MAPPING_TYPES))
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@settings(suppress_health_check=[HealthCheck.too_slow])
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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(val,
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obj_dict[field.name][key])
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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 {
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"x": {"x": 1},
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} == asdict(C(
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C(1, 2),
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C(3, 4),
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), filter=lambda a, v: a.name != "y", dict_factory=dict_factory)
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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(C(1, container([C(2, 3), C(4, 5), "a"])),
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retain_collection_types=True)
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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 {
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"x": 1,
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"y": {"a": {"x": 4, "y": 5}},
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} == 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 OrderedDicts.
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"""
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instance = cls()
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dict_instance = asdict(instance, dict_factory=OrderedDict)
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assert [a.name for a in fields(cls)] == list(dict_instance.keys())
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class TestAsTuple(object):
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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]) ==
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astuple(C(x=1, y=2), False, tuple_factory=tuple_factory))
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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([tuple_factory([1, 2]),
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tuple_factory([3, 4])])
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== astuple(C(
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C(1, 2),
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C(3, 4),
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),
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tuple_factory=tuple_factory))
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@given(nested_classes, st.sampled_from(SEQUENCE_TYPES))
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@settings(suppress_health_check=[HealthCheck.too_slow])
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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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@settings(suppress_health_check=[HealthCheck.too_slow])
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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(obj, tuple_factory=tuple_class,
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retain_collection_types=True)
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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 # noqa: E721
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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) # noqa: E721
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for obj_e, obj_tuple_e in zip(orig.items(),
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tupled.items()):
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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(C(
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C(1, 2),
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C(3, 4),
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), filter=lambda a, v: a.name != "y", tuple_factory=tuple_factory)
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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"])
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== astuple(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 (
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(1, container([(2, 3), (4, 5), "a"]))
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== astuple(C(1, container([C(2, 3), C(4, 5), "a"])),
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retain_collection_types=True))
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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 (
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(1, container({"a": (4, 5)}))
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== astuple(C(1, container({"a": C(4, 5)})),
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retain_collection_types=True))
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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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class TestHas(object):
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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(object):
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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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class TestAssoc(object):
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"""
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Tests for `assoc`.
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"""
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@given(slots=st.booleans(), frozen=st.booleans())
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def test_empty(self, slots, frozen):
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"""
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Empty classes without changes get copied.
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"""
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@attr.s(slots=slots, frozen=frozen)
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class C(object):
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pass
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i1 = C()
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with pytest.deprecated_call():
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i2 = assoc(i1)
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assert i1 is not i2
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assert i1 == i2
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@given(simple_classes())
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def test_no_changes(self, C):
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"""
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No changes means a verbatim copy.
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"""
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i1 = C()
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with pytest.deprecated_call():
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i2 = assoc(i1)
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assert i1 is not i2
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assert i1 == i2
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@given(simple_classes(), st.data())
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def test_change(self, C, data):
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"""
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Changes work.
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"""
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# Take the first attribute, and change it.
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assume(fields(C)) # Skip classes with no attributes.
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field_names = [a.name for a in fields(C)]
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original = C()
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chosen_names = data.draw(st.sets(st.sampled_from(field_names)))
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change_dict = {name: data.draw(st.integers())
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for name in chosen_names}
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with pytest.deprecated_call():
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changed = assoc(original, **change_dict)
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for k, v in change_dict.items():
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assert getattr(changed, k) == v
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@given(simple_classes())
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def test_unknown(self, C):
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"""
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Wanting to change an unknown attribute raises an
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AttrsAttributeNotFoundError.
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"""
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# No generated class will have a four letter attribute.
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with pytest.raises(AttrsAttributeNotFoundError) as e, \
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pytest.deprecated_call():
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assoc(C(), aaaa=2)
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assert (
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"aaaa is not an attrs attribute on {cls!r}.".format(cls=C),
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) == e.value.args
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def test_frozen(self):
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"""
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Works on frozen classes.
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"""
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@attr.s(frozen=True)
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class C(object):
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x = attr.ib()
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y = attr.ib()
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with pytest.deprecated_call():
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assert C(3, 2) == assoc(C(1, 2), x=3)
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def test_warning(self):
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"""
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DeprecationWarning points to the correct file.
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"""
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@attr.s
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class C(object):
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x = attr.ib()
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with pytest.warns(DeprecationWarning) as wi:
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assert C(2) == assoc(C(1), x=2)
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assert __file__ == wi.list[0].filename
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class TestEvolve(object):
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"""
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Tests for `evolve`.
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"""
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@given(slots=st.booleans(), frozen=st.booleans())
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def test_empty(self, slots, frozen):
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"""
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Empty classes without changes get copied.
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"""
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@attr.s(slots=slots, frozen=frozen)
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class C(object):
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pass
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i1 = C()
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i2 = evolve(i1)
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assert i1 is not i2
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assert i1 == i2
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@given(simple_classes())
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def test_no_changes(self, C):
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"""
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No changes means a verbatim copy.
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"""
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i1 = C()
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i2 = evolve(i1)
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assert i1 is not i2
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assert i1 == i2
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@given(simple_classes(), st.data())
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def test_change(self, C, data):
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"""
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Changes work.
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"""
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# Take the first attribute, and change it.
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assume(fields(C)) # Skip classes with no attributes.
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field_names = [a.name for a in fields(C)]
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original = C()
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chosen_names = data.draw(st.sets(st.sampled_from(field_names)))
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# We pay special attention to private attributes, they should behave
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# like in `__init__`.
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change_dict = {name.replace('_', ''): data.draw(st.integers())
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for name in chosen_names}
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changed = evolve(original, **change_dict)
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for name in chosen_names:
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assert getattr(changed, name) == change_dict[name.replace('_', '')]
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@given(simple_classes())
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def test_unknown(self, C):
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"""
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Wanting to change an unknown attribute raises an
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AttrsAttributeNotFoundError.
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"""
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# No generated class will have a four letter attribute.
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with pytest.raises(TypeError) as e:
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evolve(C(), aaaa=2)
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expected = "__init__() got an unexpected keyword argument 'aaaa'"
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assert (expected,) == e.value.args
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def test_validator_failure(self):
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"""
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TypeError isn't swallowed when validation fails within evolve.
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"""
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@attr.s
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class C(object):
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a = attr.ib(validator=instance_of(int))
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with pytest.raises(TypeError) as e:
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evolve(C(a=1), a="some string")
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m = e.value.args[0]
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assert m.startswith("'a' must be <{type} 'int'>".format(type=TYPE))
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def test_private(self):
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"""
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evolve() acts as `__init__` with regards to private attributes.
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"""
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@attr.s
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class C(object):
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_a = attr.ib()
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assert evolve(C(1), a=2)._a == 2
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with pytest.raises(TypeError):
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evolve(C(1), _a=2)
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with pytest.raises(TypeError):
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evolve(C(1), a=3, _a=2)
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def test_non_init_attrs(self):
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"""
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evolve() handles `init=False` attributes.
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"""
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@attr.s
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class C(object):
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a = attr.ib()
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b = attr.ib(init=False, default=0)
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assert evolve(C(1), a=2).a == 2
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