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author | shadchin <shadchin@yandex-team.com> | 2024-02-12 07:53:52 +0300 |
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committer | Daniil Cherednik <dcherednik@ydb.tech> | 2024-02-14 14:26:16 +0000 |
commit | 31f2a419764a8ba77c2a970cfc80056c6cd06756 (patch) | |
tree | c1995d239eba8571cefc640f6648e1d5dd4ce9e2 /contrib/tools/python3/src/Lib/dataclasses.py | |
parent | fe2ef02b38d9c85d80060963b265a1df9f38c3bb (diff) | |
download | ydb-31f2a419764a8ba77c2a970cfc80056c6cd06756.tar.gz |
Update Python from 3.11.8 to 3.12.2
Diffstat (limited to 'contrib/tools/python3/src/Lib/dataclasses.py')
-rw-r--r-- | contrib/tools/python3/src/Lib/dataclasses.py | 154 |
1 files changed, 116 insertions, 38 deletions
diff --git a/contrib/tools/python3/src/Lib/dataclasses.py b/contrib/tools/python3/src/Lib/dataclasses.py index 148daf4533..3eacba840d 100644 --- a/contrib/tools/python3/src/Lib/dataclasses.py +++ b/contrib/tools/python3/src/Lib/dataclasses.py @@ -4,7 +4,6 @@ import copy import types import inspect import keyword -import builtins import functools import itertools import abc @@ -223,6 +222,29 @@ _POST_INIT_NAME = '__post_init__' # https://bugs.python.org/issue33453 for details. _MODULE_IDENTIFIER_RE = re.compile(r'^(?:\s*(\w+)\s*\.)?\s*(\w+)') +# Atomic immutable types which don't require any recursive handling and for which deepcopy +# returns the same object. We can provide a fast-path for these types in asdict and astuple. +_ATOMIC_TYPES = frozenset({ + # Common JSON Serializable types + types.NoneType, + bool, + int, + float, + str, + # Other common types + complex, + bytes, + # Other types that are also unaffected by deepcopy + types.EllipsisType, + types.NotImplementedType, + types.CodeType, + types.BuiltinFunctionType, + types.FunctionType, + type, + range, + property, +}) + # This function's logic is copied from "recursive_repr" function in # reprlib module to avoid dependency. def _recursive_repr(user_function): @@ -341,15 +363,25 @@ class _DataclassParams: 'order', 'unsafe_hash', 'frozen', + 'match_args', + 'kw_only', + 'slots', + 'weakref_slot', ) - def __init__(self, init, repr, eq, order, unsafe_hash, frozen): + def __init__(self, + init, repr, eq, order, unsafe_hash, frozen, + match_args, kw_only, slots, weakref_slot): self.init = init self.repr = repr self.eq = eq self.order = order self.unsafe_hash = unsafe_hash self.frozen = frozen + self.match_args = match_args + self.kw_only = kw_only + self.slots = slots + self.weakref_slot = weakref_slot def __repr__(self): return ('_DataclassParams(' @@ -358,7 +390,11 @@ class _DataclassParams: f'eq={self.eq!r},' f'order={self.order!r},' f'unsafe_hash={self.unsafe_hash!r},' - f'frozen={self.frozen!r}' + f'frozen={self.frozen!r},' + f'match_args={self.match_args!r},' + f'kw_only={self.kw_only!r},' + f'slots={self.slots!r},' + f'weakref_slot={self.weakref_slot!r}' ')') @@ -419,14 +455,18 @@ def _create_fn(name, args, body, *, globals=None, locals=None, locals = {} return_annotation = '' if return_type is not MISSING: - locals['_return_type'] = return_type - return_annotation = '->_return_type' + locals['__dataclass_return_type__'] = return_type + return_annotation = '->__dataclass_return_type__' args = ','.join(args) body = '\n'.join(f' {b}' for b in body) # Compute the text of the entire function. txt = f' def {name}({args}){return_annotation}:\n{body}' + # Free variables in exec are resolved in the global namespace. + # The global namespace we have is user-provided, so we can't modify it for + # our purposes. So we put the things we need into locals and introduce a + # scope to allow the function we're creating to close over them. local_vars = ', '.join(locals.keys()) txt = f"def __create_fn__({local_vars}):\n{txt}\n return {name}" ns = {} @@ -450,14 +490,14 @@ def _field_init(f, frozen, globals, self_name, slots): # Return the text of the line in the body of __init__ that will # initialize this field. - default_name = f'_dflt_{f.name}' + default_name = f'__dataclass_dflt_{f.name}__' if f.default_factory is not MISSING: if f.init: # This field has a default factory. If a parameter is # given, use it. If not, call the factory. globals[default_name] = f.default_factory value = (f'{default_name}() ' - f'if {f.name} is _HAS_DEFAULT_FACTORY ' + f'if {f.name} is __dataclass_HAS_DEFAULT_FACTORY__ ' f'else {f.name}') else: # This is a field that's not in the __init__ params, but @@ -518,11 +558,11 @@ def _init_param(f): elif f.default is not MISSING: # There's a default, this will be the name that's used to look # it up. - default = f'=_dflt_{f.name}' + default = f'=__dataclass_dflt_{f.name}__' elif f.default_factory is not MISSING: # There's a factory function. Set a marker. - default = '=_HAS_DEFAULT_FACTORY' - return f'{f.name}:_type_{f.name}{default}' + default = '=__dataclass_HAS_DEFAULT_FACTORY__' + return f'{f.name}:__dataclass_type_{f.name}__{default}' def _init_fn(fields, std_fields, kw_only_fields, frozen, has_post_init, @@ -545,10 +585,9 @@ def _init_fn(fields, std_fields, kw_only_fields, frozen, has_post_init, raise TypeError(f'non-default argument {f.name!r} ' 'follows default argument') - locals = {f'_type_{f.name}': f.type for f in fields} + locals = {f'__dataclass_type_{f.name}__': f.type for f in fields} locals.update({ - 'MISSING': MISSING, - '_HAS_DEFAULT_FACTORY': _HAS_DEFAULT_FACTORY, + '__dataclass_HAS_DEFAULT_FACTORY__': _HAS_DEFAULT_FACTORY, '__dataclass_builtins_object__': object, }) @@ -599,21 +638,19 @@ def _repr_fn(fields, globals): def _frozen_get_del_attr(cls, fields, globals): locals = {'cls': cls, 'FrozenInstanceError': FrozenInstanceError} + condition = 'type(self) is cls' if fields: - fields_str = '(' + ','.join(repr(f.name) for f in fields) + ',)' - else: - # Special case for the zero-length tuple. - fields_str = '()' + condition += ' or name in {' + ', '.join(repr(f.name) for f in fields) + '}' return (_create_fn('__setattr__', ('self', 'name', 'value'), - (f'if type(self) is cls or name in {fields_str}:', + (f'if {condition}:', ' raise FrozenInstanceError(f"cannot assign to field {name!r}")', f'super(cls, self).__setattr__(name, value)'), locals=locals, globals=globals), _create_fn('__delattr__', ('self', 'name'), - (f'if type(self) is cls or name in {fields_str}:', + (f'if {condition}:', ' raise FrozenInstanceError(f"cannot delete field {name!r}")', f'super(cls, self).__delattr__(name)'), locals=locals, @@ -900,7 +937,9 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen, globals = {} setattr(cls, _PARAMS, _DataclassParams(init, repr, eq, order, - unsafe_hash, frozen)) + unsafe_hash, frozen, + match_args, kw_only, + slots, weakref_slot)) # Find our base classes in reverse MRO order, and exclude # ourselves. In reversed order so that more derived classes @@ -919,10 +958,7 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen, if getattr(b, _PARAMS).frozen: any_frozen_base = True - # Annotations that are defined in this class (not in base - # classes). If __annotations__ isn't present, then this class - # adds no new annotations. We use this to compute fields that are - # added by this class. + # Annotations defined specifically in this class (not in base classes). # # Fields are found from cls_annotations, which is guaranteed to be # ordered. Default values are from class attributes, if a field @@ -931,7 +967,7 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen, # actual default value. Pseudo-fields ClassVars and InitVars are # included, despite the fact that they're not real fields. That's # dealt with later. - cls_annotations = cls.__dict__.get('__annotations__', {}) + cls_annotations = inspect.get_annotations(cls) # Now find fields in our class. While doing so, validate some # things, and set the default values (as class attributes) where @@ -1277,7 +1313,7 @@ def asdict(obj, *, dict_factory=dict): If given, 'dict_factory' will be used instead of built-in dict. The function applies recursively to field values that are dataclass instances. This will also look into built-in containers: - tuples, lists, and dicts. + tuples, lists, and dicts. Other objects are copied with 'copy.deepcopy()'. """ if not _is_dataclass_instance(obj): raise TypeError("asdict() should be called on dataclass instances") @@ -1285,12 +1321,21 @@ def asdict(obj, *, dict_factory=dict): def _asdict_inner(obj, dict_factory): - if _is_dataclass_instance(obj): - result = [] - for f in fields(obj): - value = _asdict_inner(getattr(obj, f.name), dict_factory) - result.append((f.name, value)) - return dict_factory(result) + if type(obj) in _ATOMIC_TYPES: + return obj + elif _is_dataclass_instance(obj): + # fast path for the common case + if dict_factory is dict: + return { + f.name: _asdict_inner(getattr(obj, f.name), dict) + for f in fields(obj) + } + else: + result = [] + for f in fields(obj): + value = _asdict_inner(getattr(obj, f.name), dict_factory) + result.append((f.name, value)) + return dict_factory(result) elif isinstance(obj, tuple) and hasattr(obj, '_fields'): # obj is a namedtuple. Recurse into it, but the returned # object is another namedtuple of the same type. This is @@ -1318,6 +1363,13 @@ def _asdict_inner(obj, dict_factory): # above). return type(obj)(_asdict_inner(v, dict_factory) for v in obj) elif isinstance(obj, dict): + if hasattr(type(obj), 'default_factory'): + # obj is a defaultdict, which has a different constructor from + # dict as it requires the default_factory as its first arg. + result = type(obj)(getattr(obj, 'default_factory')) + for k, v in obj.items(): + result[_asdict_inner(k, dict_factory)] = _asdict_inner(v, dict_factory) + return result return type(obj)((_asdict_inner(k, dict_factory), _asdict_inner(v, dict_factory)) for k, v in obj.items()) @@ -1341,7 +1393,7 @@ def astuple(obj, *, tuple_factory=tuple): If given, 'tuple_factory' will be used instead of built-in tuple. The function applies recursively to field values that are dataclass instances. This will also look into built-in containers: - tuples, lists, and dicts. + tuples, lists, and dicts. Other objects are copied with 'copy.deepcopy()'. """ if not _is_dataclass_instance(obj): @@ -1350,7 +1402,9 @@ def astuple(obj, *, tuple_factory=tuple): def _astuple_inner(obj, tuple_factory): - if _is_dataclass_instance(obj): + if type(obj) in _ATOMIC_TYPES: + return obj + elif _is_dataclass_instance(obj): result = [] for f in fields(obj): value = _astuple_inner(getattr(obj, f.name), tuple_factory) @@ -1370,7 +1424,15 @@ def _astuple_inner(obj, tuple_factory): # above). return type(obj)(_astuple_inner(v, tuple_factory) for v in obj) elif isinstance(obj, dict): - return type(obj)((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory)) + obj_type = type(obj) + if hasattr(obj_type, 'default_factory'): + # obj is a defaultdict, which has a different constructor from + # dict as it requires the default_factory as its first arg. + result = obj_type(getattr(obj, 'default_factory')) + for k, v in obj.items(): + result[_astuple_inner(k, tuple_factory)] = _astuple_inner(v, tuple_factory) + return result + return obj_type((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory)) for k, v in obj.items()) else: return copy.deepcopy(obj) @@ -1379,7 +1441,7 @@ def _astuple_inner(obj, tuple_factory): def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, repr=True, eq=True, order=False, unsafe_hash=False, frozen=False, match_args=True, kw_only=False, slots=False, - weakref_slot=False): + weakref_slot=False, module=None): """Return a new dynamically created dataclass. The dataclass name will be 'cls_name'. 'fields' is an iterable @@ -1399,8 +1461,11 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, For the bases and namespace parameters, see the builtin type() function. - The parameters init, repr, eq, order, unsafe_hash, and frozen are passed to - dataclass(). + The parameters init, repr, eq, order, unsafe_hash, frozen, match_args, kw_only, + slots, and weakref_slot are passed to dataclass(). + + If module parameter is defined, the '__module__' attribute of the dataclass is + set to that value. """ if namespace is None: @@ -1443,6 +1508,19 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, # of generic dataclasses. cls = types.new_class(cls_name, bases, {}, exec_body_callback) + # For pickling to work, the __module__ variable needs to be set to the frame + # where the dataclass is created. + if module is None: + try: + module = sys._getframemodulename(1) or '__main__' + except AttributeError: + try: + module = sys._getframe(1).f_globals.get('__name__', '__main__') + except (AttributeError, ValueError): + pass + if module is not None: + cls.__module__ = module + # Apply the normal decorator. return dataclass(cls, init=init, repr=repr, eq=eq, order=order, unsafe_hash=unsafe_hash, frozen=frozen, |