| # Deliberately use "from dataclasses import *". Every name in __all__ |
| # is tested, so they all must be present. This is a way to catch |
| # missing ones. |
| |
| from dataclasses import * |
| |
| import pickle |
| import inspect |
| import builtins |
| import unittest |
| from unittest.mock import Mock |
| from typing import ClassVar, Any, List, Union, Tuple, Dict, Generic, TypeVar, Optional |
| from collections import deque, OrderedDict, namedtuple |
| from functools import total_ordering |
| |
| import typing # Needed for the string "typing.ClassVar[int]" to work as an annotation. |
| import dataclasses # Needed for the string "dataclasses.InitVar[int]" to work as an annotation. |
| |
| # Just any custom exception we can catch. |
| class CustomError(Exception): pass |
| |
| class TestCase(unittest.TestCase): |
| def test_no_fields(self): |
| @dataclass |
| class C: |
| pass |
| |
| o = C() |
| self.assertEqual(len(fields(C)), 0) |
| |
| def test_no_fields_but_member_variable(self): |
| @dataclass |
| class C: |
| i = 0 |
| |
| o = C() |
| self.assertEqual(len(fields(C)), 0) |
| |
| def test_one_field_no_default(self): |
| @dataclass |
| class C: |
| x: int |
| |
| o = C(42) |
| self.assertEqual(o.x, 42) |
| |
| def test_named_init_params(self): |
| @dataclass |
| class C: |
| x: int |
| |
| o = C(x=32) |
| self.assertEqual(o.x, 32) |
| |
| def test_two_fields_one_default(self): |
| @dataclass |
| class C: |
| x: int |
| y: int = 0 |
| |
| o = C(3) |
| self.assertEqual((o.x, o.y), (3, 0)) |
| |
| # Non-defaults following defaults. |
| with self.assertRaisesRegex(TypeError, |
| "non-default argument 'y' follows " |
| "default argument"): |
| @dataclass |
| class C: |
| x: int = 0 |
| y: int |
| |
| # A derived class adds a non-default field after a default one. |
| with self.assertRaisesRegex(TypeError, |
| "non-default argument 'y' follows " |
| "default argument"): |
| @dataclass |
| class B: |
| x: int = 0 |
| |
| @dataclass |
| class C(B): |
| y: int |
| |
| # Override a base class field and add a default to |
| # a field which didn't use to have a default. |
| with self.assertRaisesRegex(TypeError, |
| "non-default argument 'y' follows " |
| "default argument"): |
| @dataclass |
| class B: |
| x: int |
| y: int |
| |
| @dataclass |
| class C(B): |
| x: int = 0 |
| |
| def test_overwrite_hash(self): |
| # Test that declaring this class isn't an error. It should |
| # use the user-provided __hash__. |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| def __hash__(self): |
| return 301 |
| self.assertEqual(hash(C(100)), 301) |
| |
| # Test that declaring this class isn't an error. It should |
| # use the generated __hash__. |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| def __eq__(self, other): |
| return False |
| self.assertEqual(hash(C(100)), hash((100,))) |
| |
| # But this one should generate an exception, because with |
| # unsafe_hash=True, it's an error to have a __hash__ defined. |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __hash__'): |
| @dataclass(unsafe_hash=True) |
| class C: |
| def __hash__(self): |
| pass |
| |
| # Creating this class should not generate an exception, |
| # because even though __hash__ exists before @dataclass is |
| # called, (due to __eq__ being defined), since it's None |
| # that's okay. |
| @dataclass(unsafe_hash=True) |
| class C: |
| x: int |
| def __eq__(self): |
| pass |
| # The generated hash function works as we'd expect. |
| self.assertEqual(hash(C(10)), hash((10,))) |
| |
| # Creating this class should generate an exception, because |
| # __hash__ exists and is not None, which it would be if it |
| # had been auto-generated due to __eq__ being defined. |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __hash__'): |
| @dataclass(unsafe_hash=True) |
| class C: |
| x: int |
| def __eq__(self): |
| pass |
| def __hash__(self): |
| pass |
| |
| def test_overwrite_fields_in_derived_class(self): |
| # Note that x from C1 replaces x in Base, but the order remains |
| # the same as defined in Base. |
| @dataclass |
| class Base: |
| x: Any = 15.0 |
| y: int = 0 |
| |
| @dataclass |
| class C1(Base): |
| z: int = 10 |
| x: int = 15 |
| |
| o = Base() |
| self.assertEqual(repr(o), 'TestCase.test_overwrite_fields_in_derived_class.<locals>.Base(x=15.0, y=0)') |
| |
| o = C1() |
| self.assertEqual(repr(o), 'TestCase.test_overwrite_fields_in_derived_class.<locals>.C1(x=15, y=0, z=10)') |
| |
| o = C1(x=5) |
| self.assertEqual(repr(o), 'TestCase.test_overwrite_fields_in_derived_class.<locals>.C1(x=5, y=0, z=10)') |
| |
| def test_field_named_self(self): |
| @dataclass |
| class C: |
| self: str |
| c=C('foo') |
| self.assertEqual(c.self, 'foo') |
| |
| # Make sure the first parameter is not named 'self'. |
| sig = inspect.signature(C.__init__) |
| first = next(iter(sig.parameters)) |
| self.assertNotEqual('self', first) |
| |
| # But we do use 'self' if no field named self. |
| @dataclass |
| class C: |
| selfx: str |
| |
| # Make sure the first parameter is named 'self'. |
| sig = inspect.signature(C.__init__) |
| first = next(iter(sig.parameters)) |
| self.assertEqual('self', first) |
| |
| def test_field_named_object(self): |
| @dataclass |
| class C: |
| object: str |
| c = C('foo') |
| self.assertEqual(c.object, 'foo') |
| |
| def test_field_named_object_frozen(self): |
| @dataclass(frozen=True) |
| class C: |
| object: str |
| c = C('foo') |
| self.assertEqual(c.object, 'foo') |
| |
| def test_field_named_like_builtin(self): |
| # Attribute names can shadow built-in names |
| # since code generation is used. |
| # Ensure that this is not happening. |
| exclusions = {'None', 'True', 'False'} |
| builtins_names = sorted( |
| b for b in builtins.__dict__.keys() |
| if not b.startswith('__') and b not in exclusions |
| ) |
| attributes = [(name, str) for name in builtins_names] |
| C = make_dataclass('C', attributes) |
| |
| c = C(*[name for name in builtins_names]) |
| |
| for name in builtins_names: |
| self.assertEqual(getattr(c, name), name) |
| |
| def test_field_named_like_builtin_frozen(self): |
| # Attribute names can shadow built-in names |
| # since code generation is used. |
| # Ensure that this is not happening |
| # for frozen data classes. |
| exclusions = {'None', 'True', 'False'} |
| builtins_names = sorted( |
| b for b in builtins.__dict__.keys() |
| if not b.startswith('__') and b not in exclusions |
| ) |
| attributes = [(name, str) for name in builtins_names] |
| C = make_dataclass('C', attributes, frozen=True) |
| |
| c = C(*[name for name in builtins_names]) |
| |
| for name in builtins_names: |
| self.assertEqual(getattr(c, name), name) |
| |
| def test_0_field_compare(self): |
| # Ensure that order=False is the default. |
| @dataclass |
| class C0: |
| pass |
| |
| @dataclass(order=False) |
| class C1: |
| pass |
| |
| for cls in [C0, C1]: |
| with self.subTest(cls=cls): |
| self.assertEqual(cls(), cls()) |
| for idx, fn in enumerate([lambda a, b: a < b, |
| lambda a, b: a <= b, |
| lambda a, b: a > b, |
| lambda a, b: a >= b]): |
| with self.subTest(idx=idx): |
| with self.assertRaisesRegex(TypeError, |
| f"not supported between instances of '{cls.__name__}' and '{cls.__name__}'"): |
| fn(cls(), cls()) |
| |
| @dataclass(order=True) |
| class C: |
| pass |
| self.assertLessEqual(C(), C()) |
| self.assertGreaterEqual(C(), C()) |
| |
| def test_1_field_compare(self): |
| # Ensure that order=False is the default. |
| @dataclass |
| class C0: |
| x: int |
| |
| @dataclass(order=False) |
| class C1: |
| x: int |
| |
| for cls in [C0, C1]: |
| with self.subTest(cls=cls): |
| self.assertEqual(cls(1), cls(1)) |
| self.assertNotEqual(cls(0), cls(1)) |
| for idx, fn in enumerate([lambda a, b: a < b, |
| lambda a, b: a <= b, |
| lambda a, b: a > b, |
| lambda a, b: a >= b]): |
| with self.subTest(idx=idx): |
| with self.assertRaisesRegex(TypeError, |
| f"not supported between instances of '{cls.__name__}' and '{cls.__name__}'"): |
| fn(cls(0), cls(0)) |
| |
| @dataclass(order=True) |
| class C: |
| x: int |
| self.assertLess(C(0), C(1)) |
| self.assertLessEqual(C(0), C(1)) |
| self.assertLessEqual(C(1), C(1)) |
| self.assertGreater(C(1), C(0)) |
| self.assertGreaterEqual(C(1), C(0)) |
| self.assertGreaterEqual(C(1), C(1)) |
| |
| def test_simple_compare(self): |
| # Ensure that order=False is the default. |
| @dataclass |
| class C0: |
| x: int |
| y: int |
| |
| @dataclass(order=False) |
| class C1: |
| x: int |
| y: int |
| |
| for cls in [C0, C1]: |
| with self.subTest(cls=cls): |
| self.assertEqual(cls(0, 0), cls(0, 0)) |
| self.assertEqual(cls(1, 2), cls(1, 2)) |
| self.assertNotEqual(cls(1, 0), cls(0, 0)) |
| self.assertNotEqual(cls(1, 0), cls(1, 1)) |
| for idx, fn in enumerate([lambda a, b: a < b, |
| lambda a, b: a <= b, |
| lambda a, b: a > b, |
| lambda a, b: a >= b]): |
| with self.subTest(idx=idx): |
| with self.assertRaisesRegex(TypeError, |
| f"not supported between instances of '{cls.__name__}' and '{cls.__name__}'"): |
| fn(cls(0, 0), cls(0, 0)) |
| |
| @dataclass(order=True) |
| class C: |
| x: int |
| y: int |
| |
| for idx, fn in enumerate([lambda a, b: a == b, |
| lambda a, b: a <= b, |
| lambda a, b: a >= b]): |
| with self.subTest(idx=idx): |
| self.assertTrue(fn(C(0, 0), C(0, 0))) |
| |
| for idx, fn in enumerate([lambda a, b: a < b, |
| lambda a, b: a <= b, |
| lambda a, b: a != b]): |
| with self.subTest(idx=idx): |
| self.assertTrue(fn(C(0, 0), C(0, 1))) |
| self.assertTrue(fn(C(0, 1), C(1, 0))) |
| self.assertTrue(fn(C(1, 0), C(1, 1))) |
| |
| for idx, fn in enumerate([lambda a, b: a > b, |
| lambda a, b: a >= b, |
| lambda a, b: a != b]): |
| with self.subTest(idx=idx): |
| self.assertTrue(fn(C(0, 1), C(0, 0))) |
| self.assertTrue(fn(C(1, 0), C(0, 1))) |
| self.assertTrue(fn(C(1, 1), C(1, 0))) |
| |
| def test_compare_subclasses(self): |
| # Comparisons fail for subclasses, even if no fields |
| # are added. |
| @dataclass |
| class B: |
| i: int |
| |
| @dataclass |
| class C(B): |
| pass |
| |
| for idx, (fn, expected) in enumerate([(lambda a, b: a == b, False), |
| (lambda a, b: a != b, True)]): |
| with self.subTest(idx=idx): |
| self.assertEqual(fn(B(0), C(0)), expected) |
| |
| for idx, fn in enumerate([lambda a, b: a < b, |
| lambda a, b: a <= b, |
| lambda a, b: a > b, |
| lambda a, b: a >= b]): |
| with self.subTest(idx=idx): |
| with self.assertRaisesRegex(TypeError, |
| "not supported between instances of 'B' and 'C'"): |
| fn(B(0), C(0)) |
| |
| def test_eq_order(self): |
| # Test combining eq and order. |
| for (eq, order, result ) in [ |
| (False, False, 'neither'), |
| (False, True, 'exception'), |
| (True, False, 'eq_only'), |
| (True, True, 'both'), |
| ]: |
| with self.subTest(eq=eq, order=order): |
| if result == 'exception': |
| with self.assertRaisesRegex(ValueError, 'eq must be true if order is true'): |
| @dataclass(eq=eq, order=order) |
| class C: |
| pass |
| else: |
| @dataclass(eq=eq, order=order) |
| class C: |
| pass |
| |
| if result == 'neither': |
| self.assertNotIn('__eq__', C.__dict__) |
| self.assertNotIn('__lt__', C.__dict__) |
| self.assertNotIn('__le__', C.__dict__) |
| self.assertNotIn('__gt__', C.__dict__) |
| self.assertNotIn('__ge__', C.__dict__) |
| elif result == 'both': |
| self.assertIn('__eq__', C.__dict__) |
| self.assertIn('__lt__', C.__dict__) |
| self.assertIn('__le__', C.__dict__) |
| self.assertIn('__gt__', C.__dict__) |
| self.assertIn('__ge__', C.__dict__) |
| elif result == 'eq_only': |
| self.assertIn('__eq__', C.__dict__) |
| self.assertNotIn('__lt__', C.__dict__) |
| self.assertNotIn('__le__', C.__dict__) |
| self.assertNotIn('__gt__', C.__dict__) |
| self.assertNotIn('__ge__', C.__dict__) |
| else: |
| assert False, f'unknown result {result!r}' |
| |
| def test_field_no_default(self): |
| @dataclass |
| class C: |
| x: int = field() |
| |
| self.assertEqual(C(5).x, 5) |
| |
| with self.assertRaisesRegex(TypeError, |
| r"__init__\(\) missing 1 required " |
| "positional argument: 'x'"): |
| C() |
| |
| def test_field_default(self): |
| default = object() |
| @dataclass |
| class C: |
| x: object = field(default=default) |
| |
| self.assertIs(C.x, default) |
| c = C(10) |
| self.assertEqual(c.x, 10) |
| |
| # If we delete the instance attribute, we should then see the |
| # class attribute. |
| del c.x |
| self.assertIs(c.x, default) |
| |
| self.assertIs(C().x, default) |
| |
| def test_not_in_repr(self): |
| @dataclass |
| class C: |
| x: int = field(repr=False) |
| with self.assertRaises(TypeError): |
| C() |
| c = C(10) |
| self.assertEqual(repr(c), 'TestCase.test_not_in_repr.<locals>.C()') |
| |
| @dataclass |
| class C: |
| x: int = field(repr=False) |
| y: int |
| c = C(10, 20) |
| self.assertEqual(repr(c), 'TestCase.test_not_in_repr.<locals>.C(y=20)') |
| |
| def test_not_in_compare(self): |
| @dataclass |
| class C: |
| x: int = 0 |
| y: int = field(compare=False, default=4) |
| |
| self.assertEqual(C(), C(0, 20)) |
| self.assertEqual(C(1, 10), C(1, 20)) |
| self.assertNotEqual(C(3), C(4, 10)) |
| self.assertNotEqual(C(3, 10), C(4, 10)) |
| |
| def test_hash_field_rules(self): |
| # Test all 6 cases of: |
| # hash=True/False/None |
| # compare=True/False |
| for (hash_, compare, result ) in [ |
| (True, False, 'field' ), |
| (True, True, 'field' ), |
| (False, False, 'absent'), |
| (False, True, 'absent'), |
| (None, False, 'absent'), |
| (None, True, 'field' ), |
| ]: |
| with self.subTest(hash=hash_, compare=compare): |
| @dataclass(unsafe_hash=True) |
| class C: |
| x: int = field(compare=compare, hash=hash_, default=5) |
| |
| if result == 'field': |
| # __hash__ contains the field. |
| self.assertEqual(hash(C(5)), hash((5,))) |
| elif result == 'absent': |
| # The field is not present in the hash. |
| self.assertEqual(hash(C(5)), hash(())) |
| else: |
| assert False, f'unknown result {result!r}' |
| |
| def test_init_false_no_default(self): |
| # If init=False and no default value, then the field won't be |
| # present in the instance. |
| @dataclass |
| class C: |
| x: int = field(init=False) |
| |
| self.assertNotIn('x', C().__dict__) |
| |
| @dataclass |
| class C: |
| x: int |
| y: int = 0 |
| z: int = field(init=False) |
| t: int = 10 |
| |
| self.assertNotIn('z', C(0).__dict__) |
| self.assertEqual(vars(C(5)), {'t': 10, 'x': 5, 'y': 0}) |
| |
| def test_class_marker(self): |
| @dataclass |
| class C: |
| x: int |
| y: str = field(init=False, default=None) |
| z: str = field(repr=False) |
| |
| the_fields = fields(C) |
| # the_fields is a tuple of 3 items, each value |
| # is in __annotations__. |
| self.assertIsInstance(the_fields, tuple) |
| for f in the_fields: |
| self.assertIs(type(f), Field) |
| self.assertIn(f.name, C.__annotations__) |
| |
| self.assertEqual(len(the_fields), 3) |
| |
| self.assertEqual(the_fields[0].name, 'x') |
| self.assertEqual(the_fields[0].type, int) |
| self.assertFalse(hasattr(C, 'x')) |
| self.assertTrue (the_fields[0].init) |
| self.assertTrue (the_fields[0].repr) |
| self.assertEqual(the_fields[1].name, 'y') |
| self.assertEqual(the_fields[1].type, str) |
| self.assertIsNone(getattr(C, 'y')) |
| self.assertFalse(the_fields[1].init) |
| self.assertTrue (the_fields[1].repr) |
| self.assertEqual(the_fields[2].name, 'z') |
| self.assertEqual(the_fields[2].type, str) |
| self.assertFalse(hasattr(C, 'z')) |
| self.assertTrue (the_fields[2].init) |
| self.assertFalse(the_fields[2].repr) |
| |
| def test_field_order(self): |
| @dataclass |
| class B: |
| a: str = 'B:a' |
| b: str = 'B:b' |
| c: str = 'B:c' |
| |
| @dataclass |
| class C(B): |
| b: str = 'C:b' |
| |
| self.assertEqual([(f.name, f.default) for f in fields(C)], |
| [('a', 'B:a'), |
| ('b', 'C:b'), |
| ('c', 'B:c')]) |
| |
| @dataclass |
| class D(B): |
| c: str = 'D:c' |
| |
| self.assertEqual([(f.name, f.default) for f in fields(D)], |
| [('a', 'B:a'), |
| ('b', 'B:b'), |
| ('c', 'D:c')]) |
| |
| @dataclass |
| class E(D): |
| a: str = 'E:a' |
| d: str = 'E:d' |
| |
| self.assertEqual([(f.name, f.default) for f in fields(E)], |
| [('a', 'E:a'), |
| ('b', 'B:b'), |
| ('c', 'D:c'), |
| ('d', 'E:d')]) |
| |
| def test_class_attrs(self): |
| # We only have a class attribute if a default value is |
| # specified, either directly or via a field with a default. |
| default = object() |
| @dataclass |
| class C: |
| x: int |
| y: int = field(repr=False) |
| z: object = default |
| t: int = field(default=100) |
| |
| self.assertFalse(hasattr(C, 'x')) |
| self.assertFalse(hasattr(C, 'y')) |
| self.assertIs (C.z, default) |
| self.assertEqual(C.t, 100) |
| |
| def test_disallowed_mutable_defaults(self): |
| # For the known types, don't allow mutable default values. |
| for typ, empty, non_empty in [(list, [], [1]), |
| (dict, {}, {0:1}), |
| (set, set(), set([1])), |
| ]: |
| with self.subTest(typ=typ): |
| # Can't use a zero-length value. |
| with self.assertRaisesRegex(ValueError, |
| f'mutable default {typ} for field ' |
| 'x is not allowed'): |
| @dataclass |
| class Point: |
| x: typ = empty |
| |
| |
| # Nor a non-zero-length value |
| with self.assertRaisesRegex(ValueError, |
| f'mutable default {typ} for field ' |
| 'y is not allowed'): |
| @dataclass |
| class Point: |
| y: typ = non_empty |
| |
| # Check subtypes also fail. |
| class Subclass(typ): pass |
| |
| with self.assertRaisesRegex(ValueError, |
| f"mutable default .*Subclass'>" |
| ' for field z is not allowed' |
| ): |
| @dataclass |
| class Point: |
| z: typ = Subclass() |
| |
| # Because this is a ClassVar, it can be mutable. |
| @dataclass |
| class C: |
| z: ClassVar[typ] = typ() |
| |
| # Because this is a ClassVar, it can be mutable. |
| @dataclass |
| class C: |
| x: ClassVar[typ] = Subclass() |
| |
| def test_deliberately_mutable_defaults(self): |
| # If a mutable default isn't in the known list of |
| # (list, dict, set), then it's okay. |
| class Mutable: |
| def __init__(self): |
| self.l = [] |
| |
| @dataclass |
| class C: |
| x: Mutable |
| |
| # These 2 instances will share this value of x. |
| lst = Mutable() |
| o1 = C(lst) |
| o2 = C(lst) |
| self.assertEqual(o1, o2) |
| o1.x.l.extend([1, 2]) |
| self.assertEqual(o1, o2) |
| self.assertEqual(o1.x.l, [1, 2]) |
| self.assertIs(o1.x, o2.x) |
| |
| def test_no_options(self): |
| # Call with dataclass(). |
| @dataclass() |
| class C: |
| x: int |
| |
| self.assertEqual(C(42).x, 42) |
| |
| def test_not_tuple(self): |
| # Make sure we can't be compared to a tuple. |
| @dataclass |
| class Point: |
| x: int |
| y: int |
| self.assertNotEqual(Point(1, 2), (1, 2)) |
| |
| # And that we can't compare to another unrelated dataclass. |
| @dataclass |
| class C: |
| x: int |
| y: int |
| self.assertNotEqual(Point(1, 3), C(1, 3)) |
| |
| def test_not_other_dataclass(self): |
| # Test that some of the problems with namedtuple don't happen |
| # here. |
| @dataclass |
| class Point3D: |
| x: int |
| y: int |
| z: int |
| |
| @dataclass |
| class Date: |
| year: int |
| month: int |
| day: int |
| |
| self.assertNotEqual(Point3D(2017, 6, 3), Date(2017, 6, 3)) |
| self.assertNotEqual(Point3D(1, 2, 3), (1, 2, 3)) |
| |
| # Make sure we can't unpack. |
| with self.assertRaisesRegex(TypeError, 'unpack'): |
| x, y, z = Point3D(4, 5, 6) |
| |
| # Make sure another class with the same field names isn't |
| # equal. |
| @dataclass |
| class Point3Dv1: |
| x: int = 0 |
| y: int = 0 |
| z: int = 0 |
| self.assertNotEqual(Point3D(0, 0, 0), Point3Dv1()) |
| |
| def test_function_annotations(self): |
| # Some dummy class and instance to use as a default. |
| class F: |
| pass |
| f = F() |
| |
| def validate_class(cls): |
| # First, check __annotations__, even though they're not |
| # function annotations. |
| self.assertEqual(cls.__annotations__['i'], int) |
| self.assertEqual(cls.__annotations__['j'], str) |
| self.assertEqual(cls.__annotations__['k'], F) |
| self.assertEqual(cls.__annotations__['l'], float) |
| self.assertEqual(cls.__annotations__['z'], complex) |
| |
| # Verify __init__. |
| |
| signature = inspect.signature(cls.__init__) |
| # Check the return type, should be None. |
| self.assertIs(signature.return_annotation, None) |
| |
| # Check each parameter. |
| params = iter(signature.parameters.values()) |
| param = next(params) |
| # This is testing an internal name, and probably shouldn't be tested. |
| self.assertEqual(param.name, 'self') |
| param = next(params) |
| self.assertEqual(param.name, 'i') |
| self.assertIs (param.annotation, int) |
| self.assertEqual(param.default, inspect.Parameter.empty) |
| self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD) |
| param = next(params) |
| self.assertEqual(param.name, 'j') |
| self.assertIs (param.annotation, str) |
| self.assertEqual(param.default, inspect.Parameter.empty) |
| self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD) |
| param = next(params) |
| self.assertEqual(param.name, 'k') |
| self.assertIs (param.annotation, F) |
| # Don't test for the default, since it's set to MISSING. |
| self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD) |
| param = next(params) |
| self.assertEqual(param.name, 'l') |
| self.assertIs (param.annotation, float) |
| # Don't test for the default, since it's set to MISSING. |
| self.assertEqual(param.kind, inspect.Parameter.POSITIONAL_OR_KEYWORD) |
| self.assertRaises(StopIteration, next, params) |
| |
| |
| @dataclass |
| class C: |
| i: int |
| j: str |
| k: F = f |
| l: float=field(default=None) |
| z: complex=field(default=3+4j, init=False) |
| |
| validate_class(C) |
| |
| # Now repeat with __hash__. |
| @dataclass(frozen=True, unsafe_hash=True) |
| class C: |
| i: int |
| j: str |
| k: F = f |
| l: float=field(default=None) |
| z: complex=field(default=3+4j, init=False) |
| |
| validate_class(C) |
| |
| def test_missing_default(self): |
| # Test that MISSING works the same as a default not being |
| # specified. |
| @dataclass |
| class C: |
| x: int=field(default=MISSING) |
| with self.assertRaisesRegex(TypeError, |
| r'__init__\(\) missing 1 required ' |
| 'positional argument'): |
| C() |
| self.assertNotIn('x', C.__dict__) |
| |
| @dataclass |
| class D: |
| x: int |
| with self.assertRaisesRegex(TypeError, |
| r'__init__\(\) missing 1 required ' |
| 'positional argument'): |
| D() |
| self.assertNotIn('x', D.__dict__) |
| |
| def test_missing_default_factory(self): |
| # Test that MISSING works the same as a default factory not |
| # being specified (which is really the same as a default not |
| # being specified, too). |
| @dataclass |
| class C: |
| x: int=field(default_factory=MISSING) |
| with self.assertRaisesRegex(TypeError, |
| r'__init__\(\) missing 1 required ' |
| 'positional argument'): |
| C() |
| self.assertNotIn('x', C.__dict__) |
| |
| @dataclass |
| class D: |
| x: int=field(default=MISSING, default_factory=MISSING) |
| with self.assertRaisesRegex(TypeError, |
| r'__init__\(\) missing 1 required ' |
| 'positional argument'): |
| D() |
| self.assertNotIn('x', D.__dict__) |
| |
| def test_missing_repr(self): |
| self.assertIn('MISSING_TYPE object', repr(MISSING)) |
| |
| def test_dont_include_other_annotations(self): |
| @dataclass |
| class C: |
| i: int |
| def foo(self) -> int: |
| return 4 |
| @property |
| def bar(self) -> int: |
| return 5 |
| self.assertEqual(list(C.__annotations__), ['i']) |
| self.assertEqual(C(10).foo(), 4) |
| self.assertEqual(C(10).bar, 5) |
| self.assertEqual(C(10).i, 10) |
| |
| def test_post_init(self): |
| # Just make sure it gets called |
| @dataclass |
| class C: |
| def __post_init__(self): |
| raise CustomError() |
| with self.assertRaises(CustomError): |
| C() |
| |
| @dataclass |
| class C: |
| i: int = 10 |
| def __post_init__(self): |
| if self.i == 10: |
| raise CustomError() |
| with self.assertRaises(CustomError): |
| C() |
| # post-init gets called, but doesn't raise. This is just |
| # checking that self is used correctly. |
| C(5) |
| |
| # If there's not an __init__, then post-init won't get called. |
| @dataclass(init=False) |
| class C: |
| def __post_init__(self): |
| raise CustomError() |
| # Creating the class won't raise |
| C() |
| |
| @dataclass |
| class C: |
| x: int = 0 |
| def __post_init__(self): |
| self.x *= 2 |
| self.assertEqual(C().x, 0) |
| self.assertEqual(C(2).x, 4) |
| |
| # Make sure that if we're frozen, post-init can't set |
| # attributes. |
| @dataclass(frozen=True) |
| class C: |
| x: int = 0 |
| def __post_init__(self): |
| self.x *= 2 |
| with self.assertRaises(FrozenInstanceError): |
| C() |
| |
| def test_post_init_super(self): |
| # Make sure super() post-init isn't called by default. |
| class B: |
| def __post_init__(self): |
| raise CustomError() |
| |
| @dataclass |
| class C(B): |
| def __post_init__(self): |
| self.x = 5 |
| |
| self.assertEqual(C().x, 5) |
| |
| # Now call super(), and it will raise. |
| @dataclass |
| class C(B): |
| def __post_init__(self): |
| super().__post_init__() |
| |
| with self.assertRaises(CustomError): |
| C() |
| |
| # Make sure post-init is called, even if not defined in our |
| # class. |
| @dataclass |
| class C(B): |
| pass |
| |
| with self.assertRaises(CustomError): |
| C() |
| |
| def test_post_init_staticmethod(self): |
| flag = False |
| @dataclass |
| class C: |
| x: int |
| y: int |
| @staticmethod |
| def __post_init__(): |
| nonlocal flag |
| flag = True |
| |
| self.assertFalse(flag) |
| c = C(3, 4) |
| self.assertEqual((c.x, c.y), (3, 4)) |
| self.assertTrue(flag) |
| |
| def test_post_init_classmethod(self): |
| @dataclass |
| class C: |
| flag = False |
| x: int |
| y: int |
| @classmethod |
| def __post_init__(cls): |
| cls.flag = True |
| |
| self.assertFalse(C.flag) |
| c = C(3, 4) |
| self.assertEqual((c.x, c.y), (3, 4)) |
| self.assertTrue(C.flag) |
| |
| def test_class_var(self): |
| # Make sure ClassVars are ignored in __init__, __repr__, etc. |
| @dataclass |
| class C: |
| x: int |
| y: int = 10 |
| z: ClassVar[int] = 1000 |
| w: ClassVar[int] = 2000 |
| t: ClassVar[int] = 3000 |
| s: ClassVar = 4000 |
| |
| c = C(5) |
| self.assertEqual(repr(c), 'TestCase.test_class_var.<locals>.C(x=5, y=10)') |
| self.assertEqual(len(fields(C)), 2) # We have 2 fields. |
| self.assertEqual(len(C.__annotations__), 6) # And 4 ClassVars. |
| self.assertEqual(c.z, 1000) |
| self.assertEqual(c.w, 2000) |
| self.assertEqual(c.t, 3000) |
| self.assertEqual(c.s, 4000) |
| C.z += 1 |
| self.assertEqual(c.z, 1001) |
| c = C(20) |
| self.assertEqual((c.x, c.y), (20, 10)) |
| self.assertEqual(c.z, 1001) |
| self.assertEqual(c.w, 2000) |
| self.assertEqual(c.t, 3000) |
| self.assertEqual(c.s, 4000) |
| |
| def test_class_var_no_default(self): |
| # If a ClassVar has no default value, it should not be set on the class. |
| @dataclass |
| class C: |
| x: ClassVar[int] |
| |
| self.assertNotIn('x', C.__dict__) |
| |
| def test_class_var_default_factory(self): |
| # It makes no sense for a ClassVar to have a default factory. When |
| # would it be called? Call it yourself, since it's class-wide. |
| with self.assertRaisesRegex(TypeError, |
| 'cannot have a default factory'): |
| @dataclass |
| class C: |
| x: ClassVar[int] = field(default_factory=int) |
| |
| self.assertNotIn('x', C.__dict__) |
| |
| def test_class_var_with_default(self): |
| # If a ClassVar has a default value, it should be set on the class. |
| @dataclass |
| class C: |
| x: ClassVar[int] = 10 |
| self.assertEqual(C.x, 10) |
| |
| @dataclass |
| class C: |
| x: ClassVar[int] = field(default=10) |
| self.assertEqual(C.x, 10) |
| |
| def test_class_var_frozen(self): |
| # Make sure ClassVars work even if we're frozen. |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| y: int = 10 |
| z: ClassVar[int] = 1000 |
| w: ClassVar[int] = 2000 |
| t: ClassVar[int] = 3000 |
| |
| c = C(5) |
| self.assertEqual(repr(C(5)), 'TestCase.test_class_var_frozen.<locals>.C(x=5, y=10)') |
| self.assertEqual(len(fields(C)), 2) # We have 2 fields |
| self.assertEqual(len(C.__annotations__), 5) # And 3 ClassVars |
| self.assertEqual(c.z, 1000) |
| self.assertEqual(c.w, 2000) |
| self.assertEqual(c.t, 3000) |
| # We can still modify the ClassVar, it's only instances that are |
| # frozen. |
| C.z += 1 |
| self.assertEqual(c.z, 1001) |
| c = C(20) |
| self.assertEqual((c.x, c.y), (20, 10)) |
| self.assertEqual(c.z, 1001) |
| self.assertEqual(c.w, 2000) |
| self.assertEqual(c.t, 3000) |
| |
| def test_init_var_no_default(self): |
| # If an InitVar has no default value, it should not be set on the class. |
| @dataclass |
| class C: |
| x: InitVar[int] |
| |
| self.assertNotIn('x', C.__dict__) |
| |
| def test_init_var_default_factory(self): |
| # It makes no sense for an InitVar to have a default factory. When |
| # would it be called? Call it yourself, since it's class-wide. |
| with self.assertRaisesRegex(TypeError, |
| 'cannot have a default factory'): |
| @dataclass |
| class C: |
| x: InitVar[int] = field(default_factory=int) |
| |
| self.assertNotIn('x', C.__dict__) |
| |
| def test_init_var_with_default(self): |
| # If an InitVar has a default value, it should be set on the class. |
| @dataclass |
| class C: |
| x: InitVar[int] = 10 |
| self.assertEqual(C.x, 10) |
| |
| @dataclass |
| class C: |
| x: InitVar[int] = field(default=10) |
| self.assertEqual(C.x, 10) |
| |
| def test_init_var(self): |
| @dataclass |
| class C: |
| x: int = None |
| init_param: InitVar[int] = None |
| |
| def __post_init__(self, init_param): |
| if self.x is None: |
| self.x = init_param*2 |
| |
| c = C(init_param=10) |
| self.assertEqual(c.x, 20) |
| |
| def test_init_var_preserve_type(self): |
| self.assertEqual(InitVar[int].type, int) |
| |
| # Make sure the repr is correct. |
| self.assertEqual(repr(InitVar[int]), 'dataclasses.InitVar[int]') |
| |
| def test_init_var_inheritance(self): |
| # Note that this deliberately tests that a dataclass need not |
| # have a __post_init__ function if it has an InitVar field. |
| # It could just be used in a derived class, as shown here. |
| @dataclass |
| class Base: |
| x: int |
| init_base: InitVar[int] |
| |
| # We can instantiate by passing the InitVar, even though |
| # it's not used. |
| b = Base(0, 10) |
| self.assertEqual(vars(b), {'x': 0}) |
| |
| @dataclass |
| class C(Base): |
| y: int |
| init_derived: InitVar[int] |
| |
| def __post_init__(self, init_base, init_derived): |
| self.x = self.x + init_base |
| self.y = self.y + init_derived |
| |
| c = C(10, 11, 50, 51) |
| self.assertEqual(vars(c), {'x': 21, 'y': 101}) |
| |
| def test_default_factory(self): |
| # Test a factory that returns a new list. |
| @dataclass |
| class C: |
| x: int |
| y: list = field(default_factory=list) |
| |
| c0 = C(3) |
| c1 = C(3) |
| self.assertEqual(c0.x, 3) |
| self.assertEqual(c0.y, []) |
| self.assertEqual(c0, c1) |
| self.assertIsNot(c0.y, c1.y) |
| self.assertEqual(astuple(C(5, [1])), (5, [1])) |
| |
| # Test a factory that returns a shared list. |
| l = [] |
| @dataclass |
| class C: |
| x: int |
| y: list = field(default_factory=lambda: l) |
| |
| c0 = C(3) |
| c1 = C(3) |
| self.assertEqual(c0.x, 3) |
| self.assertEqual(c0.y, []) |
| self.assertEqual(c0, c1) |
| self.assertIs(c0.y, c1.y) |
| self.assertEqual(astuple(C(5, [1])), (5, [1])) |
| |
| # Test various other field flags. |
| # repr |
| @dataclass |
| class C: |
| x: list = field(default_factory=list, repr=False) |
| self.assertEqual(repr(C()), 'TestCase.test_default_factory.<locals>.C()') |
| self.assertEqual(C().x, []) |
| |
| # hash |
| @dataclass(unsafe_hash=True) |
| class C: |
| x: list = field(default_factory=list, hash=False) |
| self.assertEqual(astuple(C()), ([],)) |
| self.assertEqual(hash(C()), hash(())) |
| |
| # init (see also test_default_factory_with_no_init) |
| @dataclass |
| class C: |
| x: list = field(default_factory=list, init=False) |
| self.assertEqual(astuple(C()), ([],)) |
| |
| # compare |
| @dataclass |
| class C: |
| x: list = field(default_factory=list, compare=False) |
| self.assertEqual(C(), C([1])) |
| |
| def test_default_factory_with_no_init(self): |
| # We need a factory with a side effect. |
| factory = Mock() |
| |
| @dataclass |
| class C: |
| x: list = field(default_factory=factory, init=False) |
| |
| # Make sure the default factory is called for each new instance. |
| C().x |
| self.assertEqual(factory.call_count, 1) |
| C().x |
| self.assertEqual(factory.call_count, 2) |
| |
| def test_default_factory_not_called_if_value_given(self): |
| # We need a factory that we can test if it's been called. |
| factory = Mock() |
| |
| @dataclass |
| class C: |
| x: int = field(default_factory=factory) |
| |
| # Make sure that if a field has a default factory function, |
| # it's not called if a value is specified. |
| C().x |
| self.assertEqual(factory.call_count, 1) |
| self.assertEqual(C(10).x, 10) |
| self.assertEqual(factory.call_count, 1) |
| C().x |
| self.assertEqual(factory.call_count, 2) |
| |
| def test_default_factory_derived(self): |
| # See bpo-32896. |
| @dataclass |
| class Foo: |
| x: dict = field(default_factory=dict) |
| |
| @dataclass |
| class Bar(Foo): |
| y: int = 1 |
| |
| self.assertEqual(Foo().x, {}) |
| self.assertEqual(Bar().x, {}) |
| self.assertEqual(Bar().y, 1) |
| |
| @dataclass |
| class Baz(Foo): |
| pass |
| self.assertEqual(Baz().x, {}) |
| |
| def test_intermediate_non_dataclass(self): |
| # Test that an intermediate class that defines |
| # annotations does not define fields. |
| |
| @dataclass |
| class A: |
| x: int |
| |
| class B(A): |
| y: int |
| |
| @dataclass |
| class C(B): |
| z: int |
| |
| c = C(1, 3) |
| self.assertEqual((c.x, c.z), (1, 3)) |
| |
| # .y was not initialized. |
| with self.assertRaisesRegex(AttributeError, |
| 'object has no attribute'): |
| c.y |
| |
| # And if we again derive a non-dataclass, no fields are added. |
| class D(C): |
| t: int |
| d = D(4, 5) |
| self.assertEqual((d.x, d.z), (4, 5)) |
| |
| def test_classvar_default_factory(self): |
| # It's an error for a ClassVar to have a factory function. |
| with self.assertRaisesRegex(TypeError, |
| 'cannot have a default factory'): |
| @dataclass |
| class C: |
| x: ClassVar[int] = field(default_factory=int) |
| |
| def test_is_dataclass(self): |
| class NotDataClass: |
| pass |
| |
| self.assertFalse(is_dataclass(0)) |
| self.assertFalse(is_dataclass(int)) |
| self.assertFalse(is_dataclass(NotDataClass)) |
| self.assertFalse(is_dataclass(NotDataClass())) |
| |
| @dataclass |
| class C: |
| x: int |
| |
| @dataclass |
| class D: |
| d: C |
| e: int |
| |
| c = C(10) |
| d = D(c, 4) |
| |
| self.assertTrue(is_dataclass(C)) |
| self.assertTrue(is_dataclass(c)) |
| self.assertFalse(is_dataclass(c.x)) |
| self.assertTrue(is_dataclass(d.d)) |
| self.assertFalse(is_dataclass(d.e)) |
| |
| def test_helper_fields_with_class_instance(self): |
| # Check that we can call fields() on either a class or instance, |
| # and get back the same thing. |
| @dataclass |
| class C: |
| x: int |
| y: float |
| |
| self.assertEqual(fields(C), fields(C(0, 0.0))) |
| |
| def test_helper_fields_exception(self): |
| # Check that TypeError is raised if not passed a dataclass or |
| # instance. |
| with self.assertRaisesRegex(TypeError, 'dataclass type or instance'): |
| fields(0) |
| |
| class C: pass |
| with self.assertRaisesRegex(TypeError, 'dataclass type or instance'): |
| fields(C) |
| with self.assertRaisesRegex(TypeError, 'dataclass type or instance'): |
| fields(C()) |
| |
| def test_helper_asdict(self): |
| # Basic tests for asdict(), it should return a new dictionary. |
| @dataclass |
| class C: |
| x: int |
| y: int |
| c = C(1, 2) |
| |
| self.assertEqual(asdict(c), {'x': 1, 'y': 2}) |
| self.assertEqual(asdict(c), asdict(c)) |
| self.assertIsNot(asdict(c), asdict(c)) |
| c.x = 42 |
| self.assertEqual(asdict(c), {'x': 42, 'y': 2}) |
| self.assertIs(type(asdict(c)), dict) |
| |
| def test_helper_asdict_raises_on_classes(self): |
| # asdict() should raise on a class object. |
| @dataclass |
| class C: |
| x: int |
| y: int |
| with self.assertRaisesRegex(TypeError, 'dataclass instance'): |
| asdict(C) |
| with self.assertRaisesRegex(TypeError, 'dataclass instance'): |
| asdict(int) |
| |
| def test_helper_asdict_copy_values(self): |
| @dataclass |
| class C: |
| x: int |
| y: List[int] = field(default_factory=list) |
| initial = [] |
| c = C(1, initial) |
| d = asdict(c) |
| self.assertEqual(d['y'], initial) |
| self.assertIsNot(d['y'], initial) |
| c = C(1) |
| d = asdict(c) |
| d['y'].append(1) |
| self.assertEqual(c.y, []) |
| |
| def test_helper_asdict_nested(self): |
| @dataclass |
| class UserId: |
| token: int |
| group: int |
| @dataclass |
| class User: |
| name: str |
| id: UserId |
| u = User('Joe', UserId(123, 1)) |
| d = asdict(u) |
| self.assertEqual(d, {'name': 'Joe', 'id': {'token': 123, 'group': 1}}) |
| self.assertIsNot(asdict(u), asdict(u)) |
| u.id.group = 2 |
| self.assertEqual(asdict(u), {'name': 'Joe', |
| 'id': {'token': 123, 'group': 2}}) |
| |
| def test_helper_asdict_builtin_containers(self): |
| @dataclass |
| class User: |
| name: str |
| id: int |
| @dataclass |
| class GroupList: |
| id: int |
| users: List[User] |
| @dataclass |
| class GroupTuple: |
| id: int |
| users: Tuple[User, ...] |
| @dataclass |
| class GroupDict: |
| id: int |
| users: Dict[str, User] |
| a = User('Alice', 1) |
| b = User('Bob', 2) |
| gl = GroupList(0, [a, b]) |
| gt = GroupTuple(0, (a, b)) |
| gd = GroupDict(0, {'first': a, 'second': b}) |
| self.assertEqual(asdict(gl), {'id': 0, 'users': [{'name': 'Alice', 'id': 1}, |
| {'name': 'Bob', 'id': 2}]}) |
| self.assertEqual(asdict(gt), {'id': 0, 'users': ({'name': 'Alice', 'id': 1}, |
| {'name': 'Bob', 'id': 2})}) |
| self.assertEqual(asdict(gd), {'id': 0, 'users': {'first': {'name': 'Alice', 'id': 1}, |
| 'second': {'name': 'Bob', 'id': 2}}}) |
| |
| def test_helper_asdict_builtin_object_containers(self): |
| @dataclass |
| class Child: |
| d: object |
| |
| @dataclass |
| class Parent: |
| child: Child |
| |
| self.assertEqual(asdict(Parent(Child([1]))), {'child': {'d': [1]}}) |
| self.assertEqual(asdict(Parent(Child({1: 2}))), {'child': {'d': {1: 2}}}) |
| |
| def test_helper_asdict_factory(self): |
| @dataclass |
| class C: |
| x: int |
| y: int |
| c = C(1, 2) |
| d = asdict(c, dict_factory=OrderedDict) |
| self.assertEqual(d, OrderedDict([('x', 1), ('y', 2)])) |
| self.assertIsNot(d, asdict(c, dict_factory=OrderedDict)) |
| c.x = 42 |
| d = asdict(c, dict_factory=OrderedDict) |
| self.assertEqual(d, OrderedDict([('x', 42), ('y', 2)])) |
| self.assertIs(type(d), OrderedDict) |
| |
| def test_helper_asdict_namedtuple(self): |
| T = namedtuple('T', 'a b c') |
| @dataclass |
| class C: |
| x: str |
| y: T |
| c = C('outer', T(1, C('inner', T(11, 12, 13)), 2)) |
| |
| d = asdict(c) |
| self.assertEqual(d, {'x': 'outer', |
| 'y': T(1, |
| {'x': 'inner', |
| 'y': T(11, 12, 13)}, |
| 2), |
| } |
| ) |
| |
| # Now with a dict_factory. OrderedDict is convenient, but |
| # since it compares to dicts, we also need to have separate |
| # assertIs tests. |
| d = asdict(c, dict_factory=OrderedDict) |
| self.assertEqual(d, {'x': 'outer', |
| 'y': T(1, |
| {'x': 'inner', |
| 'y': T(11, 12, 13)}, |
| 2), |
| } |
| ) |
| |
| # Make sure that the returned dicts are actually OrderedDicts. |
| self.assertIs(type(d), OrderedDict) |
| self.assertIs(type(d['y'][1]), OrderedDict) |
| |
| def test_helper_asdict_namedtuple_key(self): |
| # Ensure that a field that contains a dict which has a |
| # namedtuple as a key works with asdict(). |
| |
| @dataclass |
| class C: |
| f: dict |
| T = namedtuple('T', 'a') |
| |
| c = C({T('an a'): 0}) |
| |
| self.assertEqual(asdict(c), {'f': {T(a='an a'): 0}}) |
| |
| def test_helper_asdict_namedtuple_derived(self): |
| class T(namedtuple('Tbase', 'a')): |
| def my_a(self): |
| return self.a |
| |
| @dataclass |
| class C: |
| f: T |
| |
| t = T(6) |
| c = C(t) |
| |
| d = asdict(c) |
| self.assertEqual(d, {'f': T(a=6)}) |
| # Make sure that t has been copied, not used directly. |
| self.assertIsNot(d['f'], t) |
| self.assertEqual(d['f'].my_a(), 6) |
| |
| def test_helper_astuple(self): |
| # Basic tests for astuple(), it should return a new tuple. |
| @dataclass |
| class C: |
| x: int |
| y: int = 0 |
| c = C(1) |
| |
| self.assertEqual(astuple(c), (1, 0)) |
| self.assertEqual(astuple(c), astuple(c)) |
| self.assertIsNot(astuple(c), astuple(c)) |
| c.y = 42 |
| self.assertEqual(astuple(c), (1, 42)) |
| self.assertIs(type(astuple(c)), tuple) |
| |
| def test_helper_astuple_raises_on_classes(self): |
| # astuple() should raise on a class object. |
| @dataclass |
| class C: |
| x: int |
| y: int |
| with self.assertRaisesRegex(TypeError, 'dataclass instance'): |
| astuple(C) |
| with self.assertRaisesRegex(TypeError, 'dataclass instance'): |
| astuple(int) |
| |
| def test_helper_astuple_copy_values(self): |
| @dataclass |
| class C: |
| x: int |
| y: List[int] = field(default_factory=list) |
| initial = [] |
| c = C(1, initial) |
| t = astuple(c) |
| self.assertEqual(t[1], initial) |
| self.assertIsNot(t[1], initial) |
| c = C(1) |
| t = astuple(c) |
| t[1].append(1) |
| self.assertEqual(c.y, []) |
| |
| def test_helper_astuple_nested(self): |
| @dataclass |
| class UserId: |
| token: int |
| group: int |
| @dataclass |
| class User: |
| name: str |
| id: UserId |
| u = User('Joe', UserId(123, 1)) |
| t = astuple(u) |
| self.assertEqual(t, ('Joe', (123, 1))) |
| self.assertIsNot(astuple(u), astuple(u)) |
| u.id.group = 2 |
| self.assertEqual(astuple(u), ('Joe', (123, 2))) |
| |
| def test_helper_astuple_builtin_containers(self): |
| @dataclass |
| class User: |
| name: str |
| id: int |
| @dataclass |
| class GroupList: |
| id: int |
| users: List[User] |
| @dataclass |
| class GroupTuple: |
| id: int |
| users: Tuple[User, ...] |
| @dataclass |
| class GroupDict: |
| id: int |
| users: Dict[str, User] |
| a = User('Alice', 1) |
| b = User('Bob', 2) |
| gl = GroupList(0, [a, b]) |
| gt = GroupTuple(0, (a, b)) |
| gd = GroupDict(0, {'first': a, 'second': b}) |
| self.assertEqual(astuple(gl), (0, [('Alice', 1), ('Bob', 2)])) |
| self.assertEqual(astuple(gt), (0, (('Alice', 1), ('Bob', 2)))) |
| self.assertEqual(astuple(gd), (0, {'first': ('Alice', 1), 'second': ('Bob', 2)})) |
| |
| def test_helper_astuple_builtin_object_containers(self): |
| @dataclass |
| class Child: |
| d: object |
| |
| @dataclass |
| class Parent: |
| child: Child |
| |
| self.assertEqual(astuple(Parent(Child([1]))), (([1],),)) |
| self.assertEqual(astuple(Parent(Child({1: 2}))), (({1: 2},),)) |
| |
| def test_helper_astuple_factory(self): |
| @dataclass |
| class C: |
| x: int |
| y: int |
| NT = namedtuple('NT', 'x y') |
| def nt(lst): |
| return NT(*lst) |
| c = C(1, 2) |
| t = astuple(c, tuple_factory=nt) |
| self.assertEqual(t, NT(1, 2)) |
| self.assertIsNot(t, astuple(c, tuple_factory=nt)) |
| c.x = 42 |
| t = astuple(c, tuple_factory=nt) |
| self.assertEqual(t, NT(42, 2)) |
| self.assertIs(type(t), NT) |
| |
| def test_helper_astuple_namedtuple(self): |
| T = namedtuple('T', 'a b c') |
| @dataclass |
| class C: |
| x: str |
| y: T |
| c = C('outer', T(1, C('inner', T(11, 12, 13)), 2)) |
| |
| t = astuple(c) |
| self.assertEqual(t, ('outer', T(1, ('inner', (11, 12, 13)), 2))) |
| |
| # Now, using a tuple_factory. list is convenient here. |
| t = astuple(c, tuple_factory=list) |
| self.assertEqual(t, ['outer', T(1, ['inner', T(11, 12, 13)], 2)]) |
| |
| def test_dynamic_class_creation(self): |
| cls_dict = {'__annotations__': {'x': int, 'y': int}, |
| } |
| |
| # Create the class. |
| cls = type('C', (), cls_dict) |
| |
| # Make it a dataclass. |
| cls1 = dataclass(cls) |
| |
| self.assertEqual(cls1, cls) |
| self.assertEqual(asdict(cls(1, 2)), {'x': 1, 'y': 2}) |
| |
| def test_dynamic_class_creation_using_field(self): |
| cls_dict = {'__annotations__': {'x': int, 'y': int}, |
| 'y': field(default=5), |
| } |
| |
| # Create the class. |
| cls = type('C', (), cls_dict) |
| |
| # Make it a dataclass. |
| cls1 = dataclass(cls) |
| |
| self.assertEqual(cls1, cls) |
| self.assertEqual(asdict(cls1(1)), {'x': 1, 'y': 5}) |
| |
| def test_init_in_order(self): |
| @dataclass |
| class C: |
| a: int |
| b: int = field() |
| c: list = field(default_factory=list, init=False) |
| d: list = field(default_factory=list) |
| e: int = field(default=4, init=False) |
| f: int = 4 |
| |
| calls = [] |
| def setattr(self, name, value): |
| calls.append((name, value)) |
| |
| C.__setattr__ = setattr |
| c = C(0, 1) |
| self.assertEqual(('a', 0), calls[0]) |
| self.assertEqual(('b', 1), calls[1]) |
| self.assertEqual(('c', []), calls[2]) |
| self.assertEqual(('d', []), calls[3]) |
| self.assertNotIn(('e', 4), calls) |
| self.assertEqual(('f', 4), calls[4]) |
| |
| def test_items_in_dicts(self): |
| @dataclass |
| class C: |
| a: int |
| b: list = field(default_factory=list, init=False) |
| c: list = field(default_factory=list) |
| d: int = field(default=4, init=False) |
| e: int = 0 |
| |
| c = C(0) |
| # Class dict |
| self.assertNotIn('a', C.__dict__) |
| self.assertNotIn('b', C.__dict__) |
| self.assertNotIn('c', C.__dict__) |
| self.assertIn('d', C.__dict__) |
| self.assertEqual(C.d, 4) |
| self.assertIn('e', C.__dict__) |
| self.assertEqual(C.e, 0) |
| # Instance dict |
| self.assertIn('a', c.__dict__) |
| self.assertEqual(c.a, 0) |
| self.assertIn('b', c.__dict__) |
| self.assertEqual(c.b, []) |
| self.assertIn('c', c.__dict__) |
| self.assertEqual(c.c, []) |
| self.assertNotIn('d', c.__dict__) |
| self.assertIn('e', c.__dict__) |
| self.assertEqual(c.e, 0) |
| |
| def test_alternate_classmethod_constructor(self): |
| # Since __post_init__ can't take params, use a classmethod |
| # alternate constructor. This is mostly an example to show |
| # how to use this technique. |
| @dataclass |
| class C: |
| x: int |
| @classmethod |
| def from_file(cls, filename): |
| # In a real example, create a new instance |
| # and populate 'x' from contents of a file. |
| value_in_file = 20 |
| return cls(value_in_file) |
| |
| self.assertEqual(C.from_file('filename').x, 20) |
| |
| def test_field_metadata_default(self): |
| # Make sure the default metadata is read-only and of |
| # zero length. |
| @dataclass |
| class C: |
| i: int |
| |
| self.assertFalse(fields(C)[0].metadata) |
| self.assertEqual(len(fields(C)[0].metadata), 0) |
| with self.assertRaisesRegex(TypeError, |
| 'does not support item assignment'): |
| fields(C)[0].metadata['test'] = 3 |
| |
| def test_field_metadata_mapping(self): |
| # Make sure only a mapping can be passed as metadata |
| # zero length. |
| with self.assertRaises(TypeError): |
| @dataclass |
| class C: |
| i: int = field(metadata=0) |
| |
| # Make sure an empty dict works. |
| d = {} |
| @dataclass |
| class C: |
| i: int = field(metadata=d) |
| self.assertFalse(fields(C)[0].metadata) |
| self.assertEqual(len(fields(C)[0].metadata), 0) |
| # Update should work (see bpo-35960). |
| d['foo'] = 1 |
| self.assertEqual(len(fields(C)[0].metadata), 1) |
| self.assertEqual(fields(C)[0].metadata['foo'], 1) |
| with self.assertRaisesRegex(TypeError, |
| 'does not support item assignment'): |
| fields(C)[0].metadata['test'] = 3 |
| |
| # Make sure a non-empty dict works. |
| d = {'test': 10, 'bar': '42', 3: 'three'} |
| @dataclass |
| class C: |
| i: int = field(metadata=d) |
| self.assertEqual(len(fields(C)[0].metadata), 3) |
| self.assertEqual(fields(C)[0].metadata['test'], 10) |
| self.assertEqual(fields(C)[0].metadata['bar'], '42') |
| self.assertEqual(fields(C)[0].metadata[3], 'three') |
| # Update should work. |
| d['foo'] = 1 |
| self.assertEqual(len(fields(C)[0].metadata), 4) |
| self.assertEqual(fields(C)[0].metadata['foo'], 1) |
| with self.assertRaises(KeyError): |
| # Non-existent key. |
| fields(C)[0].metadata['baz'] |
| with self.assertRaisesRegex(TypeError, |
| 'does not support item assignment'): |
| fields(C)[0].metadata['test'] = 3 |
| |
| def test_field_metadata_custom_mapping(self): |
| # Try a custom mapping. |
| class SimpleNameSpace: |
| def __init__(self, **kw): |
| self.__dict__.update(kw) |
| |
| def __getitem__(self, item): |
| if item == 'xyzzy': |
| return 'plugh' |
| return getattr(self, item) |
| |
| def __len__(self): |
| return self.__dict__.__len__() |
| |
| @dataclass |
| class C: |
| i: int = field(metadata=SimpleNameSpace(a=10)) |
| |
| self.assertEqual(len(fields(C)[0].metadata), 1) |
| self.assertEqual(fields(C)[0].metadata['a'], 10) |
| with self.assertRaises(AttributeError): |
| fields(C)[0].metadata['b'] |
| # Make sure we're still talking to our custom mapping. |
| self.assertEqual(fields(C)[0].metadata['xyzzy'], 'plugh') |
| |
| def test_generic_dataclasses(self): |
| T = TypeVar('T') |
| |
| @dataclass |
| class LabeledBox(Generic[T]): |
| content: T |
| label: str = '<unknown>' |
| |
| box = LabeledBox(42) |
| self.assertEqual(box.content, 42) |
| self.assertEqual(box.label, '<unknown>') |
| |
| # Subscripting the resulting class should work, etc. |
| Alias = List[LabeledBox[int]] |
| |
| def test_generic_extending(self): |
| S = TypeVar('S') |
| T = TypeVar('T') |
| |
| @dataclass |
| class Base(Generic[T, S]): |
| x: T |
| y: S |
| |
| @dataclass |
| class DataDerived(Base[int, T]): |
| new_field: str |
| Alias = DataDerived[str] |
| c = Alias(0, 'test1', 'test2') |
| self.assertEqual(astuple(c), (0, 'test1', 'test2')) |
| |
| class NonDataDerived(Base[int, T]): |
| def new_method(self): |
| return self.y |
| Alias = NonDataDerived[float] |
| c = Alias(10, 1.0) |
| self.assertEqual(c.new_method(), 1.0) |
| |
| def test_generic_dynamic(self): |
| T = TypeVar('T') |
| |
| @dataclass |
| class Parent(Generic[T]): |
| x: T |
| Child = make_dataclass('Child', [('y', T), ('z', Optional[T], None)], |
| bases=(Parent[int], Generic[T]), namespace={'other': 42}) |
| self.assertIs(Child[int](1, 2).z, None) |
| self.assertEqual(Child[int](1, 2, 3).z, 3) |
| self.assertEqual(Child[int](1, 2, 3).other, 42) |
| # Check that type aliases work correctly. |
| Alias = Child[T] |
| self.assertEqual(Alias[int](1, 2).x, 1) |
| # Check MRO resolution. |
| self.assertEqual(Child.__mro__, (Child, Parent, Generic, object)) |
| |
| def test_dataclassses_pickleable(self): |
| global P, Q, R |
| @dataclass |
| class P: |
| x: int |
| y: int = 0 |
| @dataclass |
| class Q: |
| x: int |
| y: int = field(default=0, init=False) |
| @dataclass |
| class R: |
| x: int |
| y: List[int] = field(default_factory=list) |
| q = Q(1) |
| q.y = 2 |
| samples = [P(1), P(1, 2), Q(1), q, R(1), R(1, [2, 3, 4])] |
| for sample in samples: |
| for proto in range(pickle.HIGHEST_PROTOCOL + 1): |
| with self.subTest(sample=sample, proto=proto): |
| new_sample = pickle.loads(pickle.dumps(sample, proto)) |
| self.assertEqual(sample.x, new_sample.x) |
| self.assertEqual(sample.y, new_sample.y) |
| self.assertIsNot(sample, new_sample) |
| new_sample.x = 42 |
| another_new_sample = pickle.loads(pickle.dumps(new_sample, proto)) |
| self.assertEqual(new_sample.x, another_new_sample.x) |
| self.assertEqual(sample.y, another_new_sample.y) |
| |
| |
| class TestFieldNoAnnotation(unittest.TestCase): |
| def test_field_without_annotation(self): |
| with self.assertRaisesRegex(TypeError, |
| "'f' is a field but has no type annotation"): |
| @dataclass |
| class C: |
| f = field() |
| |
| def test_field_without_annotation_but_annotation_in_base(self): |
| @dataclass |
| class B: |
| f: int |
| |
| with self.assertRaisesRegex(TypeError, |
| "'f' is a field but has no type annotation"): |
| # This is still an error: make sure we don't pick up the |
| # type annotation in the base class. |
| @dataclass |
| class C(B): |
| f = field() |
| |
| def test_field_without_annotation_but_annotation_in_base_not_dataclass(self): |
| # Same test, but with the base class not a dataclass. |
| class B: |
| f: int |
| |
| with self.assertRaisesRegex(TypeError, |
| "'f' is a field but has no type annotation"): |
| # This is still an error: make sure we don't pick up the |
| # type annotation in the base class. |
| @dataclass |
| class C(B): |
| f = field() |
| |
| |
| class TestDocString(unittest.TestCase): |
| def assertDocStrEqual(self, a, b): |
| # Because 3.6 and 3.7 differ in how inspect.signature work |
| # (see bpo #32108), for the time being just compare them with |
| # whitespace stripped. |
| self.assertEqual(a.replace(' ', ''), b.replace(' ', '')) |
| |
| def test_existing_docstring_not_overridden(self): |
| @dataclass |
| class C: |
| """Lorem ipsum""" |
| x: int |
| |
| self.assertEqual(C.__doc__, "Lorem ipsum") |
| |
| def test_docstring_no_fields(self): |
| @dataclass |
| class C: |
| pass |
| |
| self.assertDocStrEqual(C.__doc__, "C()") |
| |
| def test_docstring_one_field(self): |
| @dataclass |
| class C: |
| x: int |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:int)") |
| |
| def test_docstring_two_fields(self): |
| @dataclass |
| class C: |
| x: int |
| y: int |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:int, y:int)") |
| |
| def test_docstring_three_fields(self): |
| @dataclass |
| class C: |
| x: int |
| y: int |
| z: str |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:int, y:int, z:str)") |
| |
| def test_docstring_one_field_with_default(self): |
| @dataclass |
| class C: |
| x: int = 3 |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:int=3)") |
| |
| def test_docstring_one_field_with_default_none(self): |
| @dataclass |
| class C: |
| x: Union[int, type(None)] = None |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:Union[int, NoneType]=None)") |
| |
| def test_docstring_list_field(self): |
| @dataclass |
| class C: |
| x: List[int] |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:List[int])") |
| |
| def test_docstring_list_field_with_default_factory(self): |
| @dataclass |
| class C: |
| x: List[int] = field(default_factory=list) |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:List[int]=<factory>)") |
| |
| def test_docstring_deque_field(self): |
| @dataclass |
| class C: |
| x: deque |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:collections.deque)") |
| |
| def test_docstring_deque_field_with_default_factory(self): |
| @dataclass |
| class C: |
| x: deque = field(default_factory=deque) |
| |
| self.assertDocStrEqual(C.__doc__, "C(x:collections.deque=<factory>)") |
| |
| |
| class TestInit(unittest.TestCase): |
| def test_base_has_init(self): |
| class B: |
| def __init__(self): |
| self.z = 100 |
| pass |
| |
| # Make sure that declaring this class doesn't raise an error. |
| # The issue is that we can't override __init__ in our class, |
| # but it should be okay to add __init__ to us if our base has |
| # an __init__. |
| @dataclass |
| class C(B): |
| x: int = 0 |
| c = C(10) |
| self.assertEqual(c.x, 10) |
| self.assertNotIn('z', vars(c)) |
| |
| # Make sure that if we don't add an init, the base __init__ |
| # gets called. |
| @dataclass(init=False) |
| class C(B): |
| x: int = 10 |
| c = C() |
| self.assertEqual(c.x, 10) |
| self.assertEqual(c.z, 100) |
| |
| def test_no_init(self): |
| dataclass(init=False) |
| class C: |
| i: int = 0 |
| self.assertEqual(C().i, 0) |
| |
| dataclass(init=False) |
| class C: |
| i: int = 2 |
| def __init__(self): |
| self.i = 3 |
| self.assertEqual(C().i, 3) |
| |
| def test_overwriting_init(self): |
| # If the class has __init__, use it no matter the value of |
| # init=. |
| |
| @dataclass |
| class C: |
| x: int |
| def __init__(self, x): |
| self.x = 2 * x |
| self.assertEqual(C(3).x, 6) |
| |
| @dataclass(init=True) |
| class C: |
| x: int |
| def __init__(self, x): |
| self.x = 2 * x |
| self.assertEqual(C(4).x, 8) |
| |
| @dataclass(init=False) |
| class C: |
| x: int |
| def __init__(self, x): |
| self.x = 2 * x |
| self.assertEqual(C(5).x, 10) |
| |
| |
| class TestRepr(unittest.TestCase): |
| def test_repr(self): |
| @dataclass |
| class B: |
| x: int |
| |
| @dataclass |
| class C(B): |
| y: int = 10 |
| |
| o = C(4) |
| self.assertEqual(repr(o), 'TestRepr.test_repr.<locals>.C(x=4, y=10)') |
| |
| @dataclass |
| class D(C): |
| x: int = 20 |
| self.assertEqual(repr(D()), 'TestRepr.test_repr.<locals>.D(x=20, y=10)') |
| |
| @dataclass |
| class C: |
| @dataclass |
| class D: |
| i: int |
| @dataclass |
| class E: |
| pass |
| self.assertEqual(repr(C.D(0)), 'TestRepr.test_repr.<locals>.C.D(i=0)') |
| self.assertEqual(repr(C.E()), 'TestRepr.test_repr.<locals>.C.E()') |
| |
| def test_no_repr(self): |
| # Test a class with no __repr__ and repr=False. |
| @dataclass(repr=False) |
| class C: |
| x: int |
| self.assertIn(f'{__name__}.TestRepr.test_no_repr.<locals>.C object at', |
| repr(C(3))) |
| |
| # Test a class with a __repr__ and repr=False. |
| @dataclass(repr=False) |
| class C: |
| x: int |
| def __repr__(self): |
| return 'C-class' |
| self.assertEqual(repr(C(3)), 'C-class') |
| |
| def test_overwriting_repr(self): |
| # If the class has __repr__, use it no matter the value of |
| # repr=. |
| |
| @dataclass |
| class C: |
| x: int |
| def __repr__(self): |
| return 'x' |
| self.assertEqual(repr(C(0)), 'x') |
| |
| @dataclass(repr=True) |
| class C: |
| x: int |
| def __repr__(self): |
| return 'x' |
| self.assertEqual(repr(C(0)), 'x') |
| |
| @dataclass(repr=False) |
| class C: |
| x: int |
| def __repr__(self): |
| return 'x' |
| self.assertEqual(repr(C(0)), 'x') |
| |
| |
| class TestEq(unittest.TestCase): |
| def test_no_eq(self): |
| # Test a class with no __eq__ and eq=False. |
| @dataclass(eq=False) |
| class C: |
| x: int |
| self.assertNotEqual(C(0), C(0)) |
| c = C(3) |
| self.assertEqual(c, c) |
| |
| # Test a class with an __eq__ and eq=False. |
| @dataclass(eq=False) |
| class C: |
| x: int |
| def __eq__(self, other): |
| return other == 10 |
| self.assertEqual(C(3), 10) |
| |
| def test_overwriting_eq(self): |
| # If the class has __eq__, use it no matter the value of |
| # eq=. |
| |
| @dataclass |
| class C: |
| x: int |
| def __eq__(self, other): |
| return other == 3 |
| self.assertEqual(C(1), 3) |
| self.assertNotEqual(C(1), 1) |
| |
| @dataclass(eq=True) |
| class C: |
| x: int |
| def __eq__(self, other): |
| return other == 4 |
| self.assertEqual(C(1), 4) |
| self.assertNotEqual(C(1), 1) |
| |
| @dataclass(eq=False) |
| class C: |
| x: int |
| def __eq__(self, other): |
| return other == 5 |
| self.assertEqual(C(1), 5) |
| self.assertNotEqual(C(1), 1) |
| |
| |
| class TestOrdering(unittest.TestCase): |
| def test_functools_total_ordering(self): |
| # Test that functools.total_ordering works with this class. |
| @total_ordering |
| @dataclass |
| class C: |
| x: int |
| def __lt__(self, other): |
| # Perform the test "backward", just to make |
| # sure this is being called. |
| return self.x >= other |
| |
| self.assertLess(C(0), -1) |
| self.assertLessEqual(C(0), -1) |
| self.assertGreater(C(0), 1) |
| self.assertGreaterEqual(C(0), 1) |
| |
| def test_no_order(self): |
| # Test that no ordering functions are added by default. |
| @dataclass(order=False) |
| class C: |
| x: int |
| # Make sure no order methods are added. |
| self.assertNotIn('__le__', C.__dict__) |
| self.assertNotIn('__lt__', C.__dict__) |
| self.assertNotIn('__ge__', C.__dict__) |
| self.assertNotIn('__gt__', C.__dict__) |
| |
| # Test that __lt__ is still called |
| @dataclass(order=False) |
| class C: |
| x: int |
| def __lt__(self, other): |
| return False |
| # Make sure other methods aren't added. |
| self.assertNotIn('__le__', C.__dict__) |
| self.assertNotIn('__ge__', C.__dict__) |
| self.assertNotIn('__gt__', C.__dict__) |
| |
| def test_overwriting_order(self): |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __lt__' |
| '.*using functools.total_ordering'): |
| @dataclass(order=True) |
| class C: |
| x: int |
| def __lt__(self): |
| pass |
| |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __le__' |
| '.*using functools.total_ordering'): |
| @dataclass(order=True) |
| class C: |
| x: int |
| def __le__(self): |
| pass |
| |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __gt__' |
| '.*using functools.total_ordering'): |
| @dataclass(order=True) |
| class C: |
| x: int |
| def __gt__(self): |
| pass |
| |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __ge__' |
| '.*using functools.total_ordering'): |
| @dataclass(order=True) |
| class C: |
| x: int |
| def __ge__(self): |
| pass |
| |
| class TestHash(unittest.TestCase): |
| def test_unsafe_hash(self): |
| @dataclass(unsafe_hash=True) |
| class C: |
| x: int |
| y: str |
| self.assertEqual(hash(C(1, 'foo')), hash((1, 'foo'))) |
| |
| def test_hash_rules(self): |
| def non_bool(value): |
| # Map to something else that's True, but not a bool. |
| if value is None: |
| return None |
| if value: |
| return (3,) |
| return 0 |
| |
| def test(case, unsafe_hash, eq, frozen, with_hash, result): |
| with self.subTest(case=case, unsafe_hash=unsafe_hash, eq=eq, |
| frozen=frozen): |
| if result != 'exception': |
| if with_hash: |
| @dataclass(unsafe_hash=unsafe_hash, eq=eq, frozen=frozen) |
| class C: |
| def __hash__(self): |
| return 0 |
| else: |
| @dataclass(unsafe_hash=unsafe_hash, eq=eq, frozen=frozen) |
| class C: |
| pass |
| |
| # See if the result matches what's expected. |
| if result == 'fn': |
| # __hash__ contains the function we generated. |
| self.assertIn('__hash__', C.__dict__) |
| self.assertIsNotNone(C.__dict__['__hash__']) |
| |
| elif result == '': |
| # __hash__ is not present in our class. |
| if not with_hash: |
| self.assertNotIn('__hash__', C.__dict__) |
| |
| elif result == 'none': |
| # __hash__ is set to None. |
| self.assertIn('__hash__', C.__dict__) |
| self.assertIsNone(C.__dict__['__hash__']) |
| |
| elif result == 'exception': |
| # Creating the class should cause an exception. |
| # This only happens with with_hash==True. |
| assert(with_hash) |
| with self.assertRaisesRegex(TypeError, 'Cannot overwrite attribute __hash__'): |
| @dataclass(unsafe_hash=unsafe_hash, eq=eq, frozen=frozen) |
| class C: |
| def __hash__(self): |
| return 0 |
| |
| else: |
| assert False, f'unknown result {result!r}' |
| |
| # There are 8 cases of: |
| # unsafe_hash=True/False |
| # eq=True/False |
| # frozen=True/False |
| # And for each of these, a different result if |
| # __hash__ is defined or not. |
| for case, (unsafe_hash, eq, frozen, res_no_defined_hash, res_defined_hash) in enumerate([ |
| (False, False, False, '', ''), |
| (False, False, True, '', ''), |
| (False, True, False, 'none', ''), |
| (False, True, True, 'fn', ''), |
| (True, False, False, 'fn', 'exception'), |
| (True, False, True, 'fn', 'exception'), |
| (True, True, False, 'fn', 'exception'), |
| (True, True, True, 'fn', 'exception'), |
| ], 1): |
| test(case, unsafe_hash, eq, frozen, False, res_no_defined_hash) |
| test(case, unsafe_hash, eq, frozen, True, res_defined_hash) |
| |
| # Test non-bool truth values, too. This is just to |
| # make sure the data-driven table in the decorator |
| # handles non-bool values. |
| test(case, non_bool(unsafe_hash), non_bool(eq), non_bool(frozen), False, res_no_defined_hash) |
| test(case, non_bool(unsafe_hash), non_bool(eq), non_bool(frozen), True, res_defined_hash) |
| |
| |
| def test_eq_only(self): |
| # If a class defines __eq__, __hash__ is automatically added |
| # and set to None. This is normal Python behavior, not |
| # related to dataclasses. Make sure we don't interfere with |
| # that (see bpo=32546). |
| |
| @dataclass |
| class C: |
| i: int |
| def __eq__(self, other): |
| return self.i == other.i |
| self.assertEqual(C(1), C(1)) |
| self.assertNotEqual(C(1), C(4)) |
| |
| # And make sure things work in this case if we specify |
| # unsafe_hash=True. |
| @dataclass(unsafe_hash=True) |
| class C: |
| i: int |
| def __eq__(self, other): |
| return self.i == other.i |
| self.assertEqual(C(1), C(1.0)) |
| self.assertEqual(hash(C(1)), hash(C(1.0))) |
| |
| # And check that the classes __eq__ is being used, despite |
| # specifying eq=True. |
| @dataclass(unsafe_hash=True, eq=True) |
| class C: |
| i: int |
| def __eq__(self, other): |
| return self.i == 3 and self.i == other.i |
| self.assertEqual(C(3), C(3)) |
| self.assertNotEqual(C(1), C(1)) |
| self.assertEqual(hash(C(1)), hash(C(1.0))) |
| |
| def test_0_field_hash(self): |
| @dataclass(frozen=True) |
| class C: |
| pass |
| self.assertEqual(hash(C()), hash(())) |
| |
| @dataclass(unsafe_hash=True) |
| class C: |
| pass |
| self.assertEqual(hash(C()), hash(())) |
| |
| def test_1_field_hash(self): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| self.assertEqual(hash(C(4)), hash((4,))) |
| self.assertEqual(hash(C(42)), hash((42,))) |
| |
| @dataclass(unsafe_hash=True) |
| class C: |
| x: int |
| self.assertEqual(hash(C(4)), hash((4,))) |
| self.assertEqual(hash(C(42)), hash((42,))) |
| |
| def test_hash_no_args(self): |
| # Test dataclasses with no hash= argument. This exists to |
| # make sure that if the @dataclass parameter name is changed |
| # or the non-default hashing behavior changes, the default |
| # hashability keeps working the same way. |
| |
| class Base: |
| def __hash__(self): |
| return 301 |
| |
| # If frozen or eq is None, then use the default value (do not |
| # specify any value in the decorator). |
| for frozen, eq, base, expected in [ |
| (None, None, object, 'unhashable'), |
| (None, None, Base, 'unhashable'), |
| (None, False, object, 'object'), |
| (None, False, Base, 'base'), |
| (None, True, object, 'unhashable'), |
| (None, True, Base, 'unhashable'), |
| (False, None, object, 'unhashable'), |
| (False, None, Base, 'unhashable'), |
| (False, False, object, 'object'), |
| (False, False, Base, 'base'), |
| (False, True, object, 'unhashable'), |
| (False, True, Base, 'unhashable'), |
| (True, None, object, 'tuple'), |
| (True, None, Base, 'tuple'), |
| (True, False, object, 'object'), |
| (True, False, Base, 'base'), |
| (True, True, object, 'tuple'), |
| (True, True, Base, 'tuple'), |
| ]: |
| |
| with self.subTest(frozen=frozen, eq=eq, base=base, expected=expected): |
| # First, create the class. |
| if frozen is None and eq is None: |
| @dataclass |
| class C(base): |
| i: int |
| elif frozen is None: |
| @dataclass(eq=eq) |
| class C(base): |
| i: int |
| elif eq is None: |
| @dataclass(frozen=frozen) |
| class C(base): |
| i: int |
| else: |
| @dataclass(frozen=frozen, eq=eq) |
| class C(base): |
| i: int |
| |
| # Now, make sure it hashes as expected. |
| if expected == 'unhashable': |
| c = C(10) |
| with self.assertRaisesRegex(TypeError, 'unhashable type'): |
| hash(c) |
| |
| elif expected == 'base': |
| self.assertEqual(hash(C(10)), 301) |
| |
| elif expected == 'object': |
| # I'm not sure what test to use here. object's |
| # hash isn't based on id(), so calling hash() |
| # won't tell us much. So, just check the |
| # function used is object's. |
| self.assertIs(C.__hash__, object.__hash__) |
| |
| elif expected == 'tuple': |
| self.assertEqual(hash(C(42)), hash((42,))) |
| |
| else: |
| assert False, f'unknown value for expected={expected!r}' |
| |
| |
| class TestFrozen(unittest.TestCase): |
| def test_frozen(self): |
| @dataclass(frozen=True) |
| class C: |
| i: int |
| |
| c = C(10) |
| self.assertEqual(c.i, 10) |
| with self.assertRaises(FrozenInstanceError): |
| c.i = 5 |
| self.assertEqual(c.i, 10) |
| |
| def test_inherit(self): |
| @dataclass(frozen=True) |
| class C: |
| i: int |
| |
| @dataclass(frozen=True) |
| class D(C): |
| j: int |
| |
| d = D(0, 10) |
| with self.assertRaises(FrozenInstanceError): |
| d.i = 5 |
| with self.assertRaises(FrozenInstanceError): |
| d.j = 6 |
| self.assertEqual(d.i, 0) |
| self.assertEqual(d.j, 10) |
| |
| # Test both ways: with an intermediate normal (non-dataclass) |
| # class and without an intermediate class. |
| def test_inherit_nonfrozen_from_frozen(self): |
| for intermediate_class in [True, False]: |
| with self.subTest(intermediate_class=intermediate_class): |
| @dataclass(frozen=True) |
| class C: |
| i: int |
| |
| if intermediate_class: |
| class I(C): pass |
| else: |
| I = C |
| |
| with self.assertRaisesRegex(TypeError, |
| 'cannot inherit non-frozen dataclass from a frozen one'): |
| @dataclass |
| class D(I): |
| pass |
| |
| def test_inherit_frozen_from_nonfrozen(self): |
| for intermediate_class in [True, False]: |
| with self.subTest(intermediate_class=intermediate_class): |
| @dataclass |
| class C: |
| i: int |
| |
| if intermediate_class: |
| class I(C): pass |
| else: |
| I = C |
| |
| with self.assertRaisesRegex(TypeError, |
| 'cannot inherit frozen dataclass from a non-frozen one'): |
| @dataclass(frozen=True) |
| class D(I): |
| pass |
| |
| def test_inherit_from_normal_class(self): |
| for intermediate_class in [True, False]: |
| with self.subTest(intermediate_class=intermediate_class): |
| class C: |
| pass |
| |
| if intermediate_class: |
| class I(C): pass |
| else: |
| I = C |
| |
| @dataclass(frozen=True) |
| class D(I): |
| i: int |
| |
| d = D(10) |
| with self.assertRaises(FrozenInstanceError): |
| d.i = 5 |
| |
| def test_non_frozen_normal_derived(self): |
| # See bpo-32953. |
| |
| @dataclass(frozen=True) |
| class D: |
| x: int |
| y: int = 10 |
| |
| class S(D): |
| pass |
| |
| s = S(3) |
| self.assertEqual(s.x, 3) |
| self.assertEqual(s.y, 10) |
| s.cached = True |
| |
| # But can't change the frozen attributes. |
| with self.assertRaises(FrozenInstanceError): |
| s.x = 5 |
| with self.assertRaises(FrozenInstanceError): |
| s.y = 5 |
| self.assertEqual(s.x, 3) |
| self.assertEqual(s.y, 10) |
| self.assertEqual(s.cached, True) |
| |
| def test_overwriting_frozen(self): |
| # frozen uses __setattr__ and __delattr__. |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __setattr__'): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| def __setattr__(self): |
| pass |
| |
| with self.assertRaisesRegex(TypeError, |
| 'Cannot overwrite attribute __delattr__'): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| def __delattr__(self): |
| pass |
| |
| @dataclass(frozen=False) |
| class C: |
| x: int |
| def __setattr__(self, name, value): |
| self.__dict__['x'] = value * 2 |
| self.assertEqual(C(10).x, 20) |
| |
| def test_frozen_hash(self): |
| @dataclass(frozen=True) |
| class C: |
| x: Any |
| |
| # If x is immutable, we can compute the hash. No exception is |
| # raised. |
| hash(C(3)) |
| |
| # If x is mutable, computing the hash is an error. |
| with self.assertRaisesRegex(TypeError, 'unhashable type'): |
| hash(C({})) |
| |
| |
| class TestSlots(unittest.TestCase): |
| def test_simple(self): |
| @dataclass |
| class C: |
| __slots__ = ('x',) |
| x: Any |
| |
| # There was a bug where a variable in a slot was assumed to |
| # also have a default value (of type |
| # types.MemberDescriptorType). |
| with self.assertRaisesRegex(TypeError, |
| r"__init__\(\) missing 1 required positional argument: 'x'"): |
| C() |
| |
| # We can create an instance, and assign to x. |
| c = C(10) |
| self.assertEqual(c.x, 10) |
| c.x = 5 |
| self.assertEqual(c.x, 5) |
| |
| # We can't assign to anything else. |
| with self.assertRaisesRegex(AttributeError, "'C' object has no attribute 'y'"): |
| c.y = 5 |
| |
| def test_derived_added_field(self): |
| # See bpo-33100. |
| @dataclass |
| class Base: |
| __slots__ = ('x',) |
| x: Any |
| |
| @dataclass |
| class Derived(Base): |
| x: int |
| y: int |
| |
| d = Derived(1, 2) |
| self.assertEqual((d.x, d.y), (1, 2)) |
| |
| # We can add a new field to the derived instance. |
| d.z = 10 |
| |
| class TestDescriptors(unittest.TestCase): |
| def test_set_name(self): |
| # See bpo-33141. |
| |
| # Create a descriptor. |
| class D: |
| def __set_name__(self, owner, name): |
| self.name = name + 'x' |
| def __get__(self, instance, owner): |
| if instance is not None: |
| return 1 |
| return self |
| |
| # This is the case of just normal descriptor behavior, no |
| # dataclass code is involved in initializing the descriptor. |
| @dataclass |
| class C: |
| c: int=D() |
| self.assertEqual(C.c.name, 'cx') |
| |
| # Now test with a default value and init=False, which is the |
| # only time this is really meaningful. If not using |
| # init=False, then the descriptor will be overwritten, anyway. |
| @dataclass |
| class C: |
| c: int=field(default=D(), init=False) |
| self.assertEqual(C.c.name, 'cx') |
| self.assertEqual(C().c, 1) |
| |
| def test_non_descriptor(self): |
| # PEP 487 says __set_name__ should work on non-descriptors. |
| # Create a descriptor. |
| |
| class D: |
| def __set_name__(self, owner, name): |
| self.name = name + 'x' |
| |
| @dataclass |
| class C: |
| c: int=field(default=D(), init=False) |
| self.assertEqual(C.c.name, 'cx') |
| |
| def test_lookup_on_instance(self): |
| # See bpo-33175. |
| class D: |
| pass |
| |
| d = D() |
| # Create an attribute on the instance, not type. |
| d.__set_name__ = Mock() |
| |
| # Make sure d.__set_name__ is not called. |
| @dataclass |
| class C: |
| i: int=field(default=d, init=False) |
| |
| self.assertEqual(d.__set_name__.call_count, 0) |
| |
| def test_lookup_on_class(self): |
| # See bpo-33175. |
| class D: |
| pass |
| D.__set_name__ = Mock() |
| |
| # Make sure D.__set_name__ is called. |
| @dataclass |
| class C: |
| i: int=field(default=D(), init=False) |
| |
| self.assertEqual(D.__set_name__.call_count, 1) |
| |
| |
| class TestStringAnnotations(unittest.TestCase): |
| def test_classvar(self): |
| # Some expressions recognized as ClassVar really aren't. But |
| # if you're using string annotations, it's not an exact |
| # science. |
| # These tests assume that both "import typing" and "from |
| # typing import *" have been run in this file. |
| for typestr in ('ClassVar[int]', |
| 'ClassVar [int]' |
| ' ClassVar [int]', |
| 'ClassVar', |
| ' ClassVar ', |
| 'typing.ClassVar[int]', |
| 'typing.ClassVar[str]', |
| ' typing.ClassVar[str]', |
| 'typing .ClassVar[str]', |
| 'typing. ClassVar[str]', |
| 'typing.ClassVar [str]', |
| 'typing.ClassVar [ str]', |
| |
| # Not syntactically valid, but these will |
| # be treated as ClassVars. |
| 'typing.ClassVar.[int]', |
| 'typing.ClassVar+', |
| ): |
| with self.subTest(typestr=typestr): |
| @dataclass |
| class C: |
| x: typestr |
| |
| # x is a ClassVar, so C() takes no args. |
| C() |
| |
| # And it won't appear in the class's dict because it doesn't |
| # have a default. |
| self.assertNotIn('x', C.__dict__) |
| |
| def test_isnt_classvar(self): |
| for typestr in ('CV', |
| 't.ClassVar', |
| 't.ClassVar[int]', |
| 'typing..ClassVar[int]', |
| 'Classvar', |
| 'Classvar[int]', |
| 'typing.ClassVarx[int]', |
| 'typong.ClassVar[int]', |
| 'dataclasses.ClassVar[int]', |
| 'typingxClassVar[str]', |
| ): |
| with self.subTest(typestr=typestr): |
| @dataclass |
| class C: |
| x: typestr |
| |
| # x is not a ClassVar, so C() takes one arg. |
| self.assertEqual(C(10).x, 10) |
| |
| def test_initvar(self): |
| # These tests assume that both "import dataclasses" and "from |
| # dataclasses import *" have been run in this file. |
| for typestr in ('InitVar[int]', |
| 'InitVar [int]' |
| ' InitVar [int]', |
| 'InitVar', |
| ' InitVar ', |
| 'dataclasses.InitVar[int]', |
| 'dataclasses.InitVar[str]', |
| ' dataclasses.InitVar[str]', |
| 'dataclasses .InitVar[str]', |
| 'dataclasses. InitVar[str]', |
| 'dataclasses.InitVar [str]', |
| 'dataclasses.InitVar [ str]', |
| |
| # Not syntactically valid, but these will |
| # be treated as InitVars. |
| 'dataclasses.InitVar.[int]', |
| 'dataclasses.InitVar+', |
| ): |
| with self.subTest(typestr=typestr): |
| @dataclass |
| class C: |
| x: typestr |
| |
| # x is an InitVar, so doesn't create a member. |
| with self.assertRaisesRegex(AttributeError, |
| "object has no attribute 'x'"): |
| C(1).x |
| |
| def test_isnt_initvar(self): |
| for typestr in ('IV', |
| 'dc.InitVar', |
| 'xdataclasses.xInitVar', |
| 'typing.xInitVar[int]', |
| ): |
| with self.subTest(typestr=typestr): |
| @dataclass |
| class C: |
| x: typestr |
| |
| # x is not an InitVar, so there will be a member x. |
| self.assertEqual(C(10).x, 10) |
| |
| def test_classvar_module_level_import(self): |
| from test import dataclass_module_1 |
| from test import dataclass_module_1_str |
| from test import dataclass_module_2 |
| from test import dataclass_module_2_str |
| |
| for m in (dataclass_module_1, dataclass_module_1_str, |
| dataclass_module_2, dataclass_module_2_str, |
| ): |
| with self.subTest(m=m): |
| # There's a difference in how the ClassVars are |
| # interpreted when using string annotations or |
| # not. See the imported modules for details. |
| if m.USING_STRINGS: |
| c = m.CV(10) |
| else: |
| c = m.CV() |
| self.assertEqual(c.cv0, 20) |
| |
| |
| # There's a difference in how the InitVars are |
| # interpreted when using string annotations or |
| # not. See the imported modules for details. |
| c = m.IV(0, 1, 2, 3, 4) |
| |
| for field_name in ('iv0', 'iv1', 'iv2', 'iv3'): |
| with self.subTest(field_name=field_name): |
| with self.assertRaisesRegex(AttributeError, f"object has no attribute '{field_name}'"): |
| # Since field_name is an InitVar, it's |
| # not an instance field. |
| getattr(c, field_name) |
| |
| if m.USING_STRINGS: |
| # iv4 is interpreted as a normal field. |
| self.assertIn('not_iv4', c.__dict__) |
| self.assertEqual(c.not_iv4, 4) |
| else: |
| # iv4 is interpreted as an InitVar, so it |
| # won't exist on the instance. |
| self.assertNotIn('not_iv4', c.__dict__) |
| |
| |
| class TestMakeDataclass(unittest.TestCase): |
| def test_simple(self): |
| C = make_dataclass('C', |
| [('x', int), |
| ('y', int, field(default=5))], |
| namespace={'add_one': lambda self: self.x + 1}) |
| c = C(10) |
| self.assertEqual((c.x, c.y), (10, 5)) |
| self.assertEqual(c.add_one(), 11) |
| |
| |
| def test_no_mutate_namespace(self): |
| # Make sure a provided namespace isn't mutated. |
| ns = {} |
| C = make_dataclass('C', |
| [('x', int), |
| ('y', int, field(default=5))], |
| namespace=ns) |
| self.assertEqual(ns, {}) |
| |
| def test_base(self): |
| class Base1: |
| pass |
| class Base2: |
| pass |
| C = make_dataclass('C', |
| [('x', int)], |
| bases=(Base1, Base2)) |
| c = C(2) |
| self.assertIsInstance(c, C) |
| self.assertIsInstance(c, Base1) |
| self.assertIsInstance(c, Base2) |
| |
| def test_base_dataclass(self): |
| @dataclass |
| class Base1: |
| x: int |
| class Base2: |
| pass |
| C = make_dataclass('C', |
| [('y', int)], |
| bases=(Base1, Base2)) |
| with self.assertRaisesRegex(TypeError, 'required positional'): |
| c = C(2) |
| c = C(1, 2) |
| self.assertIsInstance(c, C) |
| self.assertIsInstance(c, Base1) |
| self.assertIsInstance(c, Base2) |
| |
| self.assertEqual((c.x, c.y), (1, 2)) |
| |
| def test_init_var(self): |
| def post_init(self, y): |
| self.x *= y |
| |
| C = make_dataclass('C', |
| [('x', int), |
| ('y', InitVar[int]), |
| ], |
| namespace={'__post_init__': post_init}, |
| ) |
| c = C(2, 3) |
| self.assertEqual(vars(c), {'x': 6}) |
| self.assertEqual(len(fields(c)), 1) |
| |
| def test_class_var(self): |
| C = make_dataclass('C', |
| [('x', int), |
| ('y', ClassVar[int], 10), |
| ('z', ClassVar[int], field(default=20)), |
| ]) |
| c = C(1) |
| self.assertEqual(vars(c), {'x': 1}) |
| self.assertEqual(len(fields(c)), 1) |
| self.assertEqual(C.y, 10) |
| self.assertEqual(C.z, 20) |
| |
| def test_other_params(self): |
| C = make_dataclass('C', |
| [('x', int), |
| ('y', ClassVar[int], 10), |
| ('z', ClassVar[int], field(default=20)), |
| ], |
| init=False) |
| # Make sure we have a repr, but no init. |
| self.assertNotIn('__init__', vars(C)) |
| self.assertIn('__repr__', vars(C)) |
| |
| # Make sure random other params don't work. |
| with self.assertRaisesRegex(TypeError, 'unexpected keyword argument'): |
| C = make_dataclass('C', |
| [], |
| xxinit=False) |
| |
| def test_no_types(self): |
| C = make_dataclass('Point', ['x', 'y', 'z']) |
| c = C(1, 2, 3) |
| self.assertEqual(vars(c), {'x': 1, 'y': 2, 'z': 3}) |
| self.assertEqual(C.__annotations__, {'x': 'typing.Any', |
| 'y': 'typing.Any', |
| 'z': 'typing.Any'}) |
| |
| C = make_dataclass('Point', ['x', ('y', int), 'z']) |
| c = C(1, 2, 3) |
| self.assertEqual(vars(c), {'x': 1, 'y': 2, 'z': 3}) |
| self.assertEqual(C.__annotations__, {'x': 'typing.Any', |
| 'y': int, |
| 'z': 'typing.Any'}) |
| |
| def test_invalid_type_specification(self): |
| for bad_field in [(), |
| (1, 2, 3, 4), |
| ]: |
| with self.subTest(bad_field=bad_field): |
| with self.assertRaisesRegex(TypeError, r'Invalid field: '): |
| make_dataclass('C', ['a', bad_field]) |
| |
| # And test for things with no len(). |
| for bad_field in [float, |
| lambda x:x, |
| ]: |
| with self.subTest(bad_field=bad_field): |
| with self.assertRaisesRegex(TypeError, r'has no len\(\)'): |
| make_dataclass('C', ['a', bad_field]) |
| |
| def test_duplicate_field_names(self): |
| for field in ['a', 'ab']: |
| with self.subTest(field=field): |
| with self.assertRaisesRegex(TypeError, 'Field name duplicated'): |
| make_dataclass('C', [field, 'a', field]) |
| |
| def test_keyword_field_names(self): |
| for field in ['for', 'async', 'await', 'as']: |
| with self.subTest(field=field): |
| with self.assertRaisesRegex(TypeError, 'must not be keywords'): |
| make_dataclass('C', ['a', field]) |
| with self.assertRaisesRegex(TypeError, 'must not be keywords'): |
| make_dataclass('C', [field]) |
| with self.assertRaisesRegex(TypeError, 'must not be keywords'): |
| make_dataclass('C', [field, 'a']) |
| |
| def test_non_identifier_field_names(self): |
| for field in ['()', 'x,y', '*', '2@3', '', 'little johnny tables']: |
| with self.subTest(field=field): |
| with self.assertRaisesRegex(TypeError, 'must be valid identifers'): |
| make_dataclass('C', ['a', field]) |
| with self.assertRaisesRegex(TypeError, 'must be valid identifers'): |
| make_dataclass('C', [field]) |
| with self.assertRaisesRegex(TypeError, 'must be valid identifers'): |
| make_dataclass('C', [field, 'a']) |
| |
| def test_underscore_field_names(self): |
| # Unlike namedtuple, it's okay if dataclass field names have |
| # an underscore. |
| make_dataclass('C', ['_', '_a', 'a_a', 'a_']) |
| |
| def test_funny_class_names_names(self): |
| # No reason to prevent weird class names, since |
| # types.new_class allows them. |
| for classname in ['()', 'x,y', '*', '2@3', '']: |
| with self.subTest(classname=classname): |
| C = make_dataclass(classname, ['a', 'b']) |
| self.assertEqual(C.__name__, classname) |
| |
| class TestReplace(unittest.TestCase): |
| def test(self): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| y: int |
| |
| c = C(1, 2) |
| c1 = replace(c, x=3) |
| self.assertEqual(c1.x, 3) |
| self.assertEqual(c1.y, 2) |
| |
| self.assertRaises(TypeError, replace) |
| self.assertRaises(TypeError, replace, c, c) |
| with self.assertWarns(DeprecationWarning): |
| c1 = replace(obj=c, x=3) |
| self.assertEqual(c1.x, 3) |
| self.assertEqual(c1.y, 2) |
| |
| def test_frozen(self): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| y: int |
| z: int = field(init=False, default=10) |
| t: int = field(init=False, default=100) |
| |
| c = C(1, 2) |
| c1 = replace(c, x=3) |
| self.assertEqual((c.x, c.y, c.z, c.t), (1, 2, 10, 100)) |
| self.assertEqual((c1.x, c1.y, c1.z, c1.t), (3, 2, 10, 100)) |
| |
| |
| with self.assertRaisesRegex(ValueError, 'init=False'): |
| replace(c, x=3, z=20, t=50) |
| with self.assertRaisesRegex(ValueError, 'init=False'): |
| replace(c, z=20) |
| replace(c, x=3, z=20, t=50) |
| |
| # Make sure the result is still frozen. |
| with self.assertRaisesRegex(FrozenInstanceError, "cannot assign to field 'x'"): |
| c1.x = 3 |
| |
| # Make sure we can't replace an attribute that doesn't exist, |
| # if we're also replacing one that does exist. Test this |
| # here, because setting attributes on frozen instances is |
| # handled slightly differently from non-frozen ones. |
| with self.assertRaisesRegex(TypeError, r"__init__\(\) got an unexpected " |
| "keyword argument 'a'"): |
| c1 = replace(c, x=20, a=5) |
| |
| def test_invalid_field_name(self): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| y: int |
| |
| c = C(1, 2) |
| with self.assertRaisesRegex(TypeError, r"__init__\(\) got an unexpected " |
| "keyword argument 'z'"): |
| c1 = replace(c, z=3) |
| |
| def test_invalid_object(self): |
| @dataclass(frozen=True) |
| class C: |
| x: int |
| y: int |
| |
| with self.assertRaisesRegex(TypeError, 'dataclass instance'): |
| replace(C, x=3) |
| |
| with self.assertRaisesRegex(TypeError, 'dataclass instance'): |
| replace(0, x=3) |
| |
| def test_no_init(self): |
| @dataclass |
| class C: |
| x: int |
| y: int = field(init=False, default=10) |
| |
| c = C(1) |
| c.y = 20 |
| |
| # Make sure y gets the default value. |
| c1 = replace(c, x=5) |
| self.assertEqual((c1.x, c1.y), (5, 10)) |
| |
| # Trying to replace y is an error. |
| with self.assertRaisesRegex(ValueError, 'init=False'): |
| replace(c, x=2, y=30) |
| |
| with self.assertRaisesRegex(ValueError, 'init=False'): |
| replace(c, y=30) |
| |
| def test_classvar(self): |
| @dataclass |
| class C: |
| x: int |
| y: ClassVar[int] = 1000 |
| |
| c = C(1) |
| d = C(2) |
| |
| self.assertIs(c.y, d.y) |
| self.assertEqual(c.y, 1000) |
| |
| # Trying to replace y is an error: can't replace ClassVars. |
| with self.assertRaisesRegex(TypeError, r"__init__\(\) got an " |
| "unexpected keyword argument 'y'"): |
| replace(c, y=30) |
| |
| replace(c, x=5) |
| |
| def test_initvar_is_specified(self): |
| @dataclass |
| class C: |
| x: int |
| y: InitVar[int] |
| |
| def __post_init__(self, y): |
| self.x *= y |
| |
| c = C(1, 10) |
| self.assertEqual(c.x, 10) |
| with self.assertRaisesRegex(ValueError, r"InitVar 'y' must be " |
| "specified with replace()"): |
| replace(c, x=3) |
| c = replace(c, x=3, y=5) |
| self.assertEqual(c.x, 15) |
| |
| def test_recursive_repr(self): |
| @dataclass |
| class C: |
| f: "C" |
| |
| c = C(None) |
| c.f = c |
| self.assertEqual(repr(c), "TestReplace.test_recursive_repr.<locals>.C(f=...)") |
| |
| def test_recursive_repr_two_attrs(self): |
| @dataclass |
| class C: |
| f: "C" |
| g: "C" |
| |
| c = C(None, None) |
| c.f = c |
| c.g = c |
| self.assertEqual(repr(c), "TestReplace.test_recursive_repr_two_attrs" |
| ".<locals>.C(f=..., g=...)") |
| |
| def test_recursive_repr_indirection(self): |
| @dataclass |
| class C: |
| f: "D" |
| |
| @dataclass |
| class D: |
| f: "C" |
| |
| c = C(None) |
| d = D(None) |
| c.f = d |
| d.f = c |
| self.assertEqual(repr(c), "TestReplace.test_recursive_repr_indirection" |
| ".<locals>.C(f=TestReplace.test_recursive_repr_indirection" |
| ".<locals>.D(f=...))") |
| |
| def test_recursive_repr_indirection_two(self): |
| @dataclass |
| class C: |
| f: "D" |
| |
| @dataclass |
| class D: |
| f: "E" |
| |
| @dataclass |
| class E: |
| f: "C" |
| |
| c = C(None) |
| d = D(None) |
| e = E(None) |
| c.f = d |
| d.f = e |
| e.f = c |
| self.assertEqual(repr(c), "TestReplace.test_recursive_repr_indirection_two" |
| ".<locals>.C(f=TestReplace.test_recursive_repr_indirection_two" |
| ".<locals>.D(f=TestReplace.test_recursive_repr_indirection_two" |
| ".<locals>.E(f=...)))") |
| |
| def test_recursive_repr_misc_attrs(self): |
| @dataclass |
| class C: |
| f: "C" |
| g: int |
| |
| c = C(None, 1) |
| c.f = c |
| self.assertEqual(repr(c), "TestReplace.test_recursive_repr_misc_attrs" |
| ".<locals>.C(f=..., g=1)") |
| |
| ## def test_initvar(self): |
| ## @dataclass |
| ## class C: |
| ## x: int |
| ## y: InitVar[int] |
| |
| ## c = C(1, 10) |
| ## d = C(2, 20) |
| |
| ## # In our case, replacing an InitVar is a no-op |
| ## self.assertEqual(c, replace(c, y=5)) |
| |
| ## replace(c, x=5) |
| |
| |
| if __name__ == '__main__': |
| unittest.main() |