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"""Class decorator for defining abstract data types. |
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This module provides two public members, which are used together. |
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Given a structure, possibly a choice of different structures, that you'd like |
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to associate with a type: |
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- First, create a class, that subclasses the Sum class. |
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- Then, for each possible structure, add an attribute annotation to the class |
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with the desired name of the constructor, and a type of ``Ctor``, with the |
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types within the constructor as arguments. |
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To look inside an ADT instance, use the functions from the |
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:mod:`structured_data.match` module. |
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Putting it together: |
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>>> from structured_data import match |
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>>> class Example(Sum): |
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... FirstConstructor: Ctor[int, str] |
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... SecondConstructor: Ctor[bytes] |
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... ThirdConstructor: Ctor |
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... def __iter__(self): |
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... matchable = match.Matchable(self) |
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... if matchable(Example.FirstConstructor(match.pat.count, match.pat.string)): |
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... count, string = matchable[match.pat.count, match.pat.string] |
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... for _ in range(count): |
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... yield string |
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... elif matchable(Example.SecondConstructor(match.pat.bytes)): |
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... bytes_ = matchable[match.pat.bytes] |
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... for byte in bytes_: |
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... yield chr(byte) |
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... elif matchable(Example.ThirdConstructor()): |
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... yield "Third" |
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... yield "Constructor" |
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>>> list(Example.FirstConstructor(5, "abc")) |
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['abc', 'abc', 'abc', 'abc', 'abc'] |
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>>> list(Example.SecondConstructor(b"abc")) |
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['a', 'b', 'c'] |
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>>> list(Example.ThirdConstructor()) |
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['Third', 'Constructor'] |
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""" |
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import inspect |
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import sys |
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import typing |
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from ._adt_constructor import ADTConstructor |
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from ._adt_constructor import make_constructor |
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from ._ctor import get_args |
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from ._prewritten_methods import SUBCLASS_ORDER |
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from ._prewritten_methods import PrewrittenProductMethods |
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from ._prewritten_methods import PrewrittenSumMethods |
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_T = typing.TypeVar("_T") |
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if typing.TYPE_CHECKING: # pragma: nocover |
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class Ctor: |
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"""Dummy class for type-checking purposes.""" |
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class ConcreteCtor(typing.Generic[_T]): |
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"""Wrapper class for type-checking purposes. |
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The type parameter should be a Tuple type of fixed size. |
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Classes containing this annotation (meaning they haven't been |
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processed by the ``adt`` decorator) should not be instantiated. |
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""" |
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else: |
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from ._ctor import Ctor |
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def _name(cls: typing.Type[_T], function) -> str: |
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"""Return the name of a function accessed through a descriptor.""" |
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return function.__get__(None, cls).__name__ |
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def _set_new_functions(cls: typing.Type[_T], *functions) -> typing.Optional[str]: |
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"""Attempt to set the attributes corresponding to the functions on cls. |
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If any attributes are already defined, fail *before* setting any, and |
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return the already-defined name. |
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""" |
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for function in functions: |
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name = _name(cls, function) |
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if getattr(object, name, None) is not getattr(cls, name, None): |
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return name |
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for function in functions: |
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setattr(cls, _name(cls, function), function) |
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return None |
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_K = typing.TypeVar("_K") |
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_V = typing.TypeVar("_V") |
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def _nillable_write(dct: typing.Dict[_K, _V], key: _K, value: typing.Optional[_V]): |
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if value is None: |
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dct.pop(key, typing.cast(_V, None)) |
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else: |
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dct[key] = value |
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def _add_methods(cls: typing.Type[_T], do_set, *methods): |
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methods_were_set = False |
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if do_set: |
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methods_were_set = not _set_new_functions(cls, *methods) |
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return methods_were_set |
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def _set_hash(cls: typing.Type[_T], set_hash, src): |
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if set_hash: |
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cls.__hash__ = src.__hash__ # type: ignore |
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def _add_order(cls: typing.Type[_T], set_order, equality_methods_were_set, src): |
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if set_order: |
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if not equality_methods_were_set: |
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raise ValueError( |
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"Can't add ordering methods if equality methods are provided." |
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) |
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collision = _set_new_functions( |
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cls, src.__lt__, src.__le__, src.__gt__, src.__ge__ |
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) |
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if collision: |
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raise TypeError( |
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"Cannot overwrite attribute {collision} in class " |
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"{name}. Consider using functools.total_ordering".format( |
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collision=collision, name=cls.__name__ |
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) |
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) |
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def _sum_new(_cls: typing.Type[_T], subclasses): |
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def base(cls, args): |
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return super(_cls, cls).__new__(cls, args) |
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new = _cls.__dict__.get("__new__", staticmethod(base)) |
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def __new__(cls, args): |
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if cls not in subclasses: |
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raise TypeError |
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return new.__get__(None, cls)(cls, args) |
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_cls.__new__ = staticmethod(__new__) # type: ignore |
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_SENTINEL = object() |
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def _product_new( |
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_cls: typing.Type[_T], |
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annotations: typing.Dict[str, typing.Any], |
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defaults: typing.Dict[str, typing.Any], |
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): |
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def __new__(*args, **kwargs): |
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cls, *args = args |
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return super(_cls, cls).__new__(cls, *args, **kwargs) |
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__new__.__signature__ = inspect.signature(__new__).replace( |
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parameters=[inspect.Parameter("cls", inspect.Parameter.POSITIONAL_ONLY)] |
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+ [ |
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inspect.Parameter( |
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field, |
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inspect.Parameter.POSITIONAL_OR_KEYWORD, |
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annotation=annotation, |
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default=defaults.get(field, inspect.Parameter.empty), |
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) |
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for (field, annotation) in annotations.items() |
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] |
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) |
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_cls.__new__ = __new__ |
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def _all_annotations( |
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cls: typing.Type[_T] |
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) -> typing.Iterator[typing.Tuple[typing.Type[_T], str, typing.Any]]: |
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for superclass in reversed(cls.__mro__): |
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for key, value in vars(superclass).get("__annotations__", {}).items(): |
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yield (superclass, key, value) |
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def _sum_args_from_annotations(cls: typing.Type[_T]) -> typing.Dict[str, typing.Tuple]: |
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args: typing.Dict[str, typing.Tuple] = {} |
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for superclass, key, value in _all_annotations(cls): |
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_nillable_write( |
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args, key, get_args(value, vars(sys.modules[superclass.__module__])) |
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) |
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return args |
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def _product_args_from_annotations( |
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cls: typing.Type[_T] |
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) -> typing.Dict[str, typing.Any]: |
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args: typing.Dict[str, typing.Any] = {} |
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for superclass, key, value in _all_annotations(cls): |
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if value == "None": |
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value = None |
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_nillable_write(args, key, value) |
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return args |
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def _tuple_getter(index: int): |
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# TODO: __name__ and __qualname__ |
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@property |
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def getter(self): |
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return tuple.__getitem__(self, index) |
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return getter |
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def _process_class(_cls: typing.Type[_T], _repr, eq, order) -> typing.Type[_T]: |
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if order and not eq: |
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raise ValueError("eq must be true if order is true") |
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subclass_order: typing.List[typing.Type[_T]] = [] |
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for name, args in _sum_args_from_annotations(_cls).items(): |
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make_constructor(_cls, name, args, subclass_order) |
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SUBCLASS_ORDER[_cls] = tuple(subclass_order) |
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_cls.__init_subclass__ = PrewrittenSumMethods.__init_subclass__ # type: ignore |
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_sum_new(_cls, frozenset(subclass_order)) |
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_set_new_functions( |
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_cls, PrewrittenSumMethods.__setattr__, PrewrittenSumMethods.__delattr__ |
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) |
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_set_new_functions(_cls, PrewrittenSumMethods.__bool__) |
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_add_methods(_cls, _repr, PrewrittenSumMethods.__repr__) |
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equality_methods_were_set = _add_methods( |
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_cls, eq, PrewrittenSumMethods.__eq__, PrewrittenSumMethods.__ne__ |
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) |
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_set_hash(_cls, equality_methods_were_set, PrewrittenSumMethods) |
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_add_order(_cls, order, equality_methods_were_set, PrewrittenSumMethods) |
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return _cls |
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class Sum: |
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"""Base class of classes with disjoint constructors. |
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249
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Examines PEP 526 __annotations__ to determine subclasses. |
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If repr is true, a __repr__() method is added to the class. |
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If order is true, rich comparison dunder methods are added. |
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The Sum class examines the class to find Ctor annotations. |
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A Ctor annotation is the adt.Ctor class itself, or the result of indexing |
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the class, either with a single type hint, or a tuple of type hints. |
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All other annotations are ignored. |
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The subclass is not subclassable, but has subclasses at each of the |
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names that had Ctor annotations. Each subclass takes a fixed number of |
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arguments, corresponding to the type hints given to its annotation, if any. |
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""" |
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263
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264
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__slots__ = () |
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266
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def __init_subclass__(cls, *, repr=True, eq=True, order=False, **kwargs): |
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super().__init_subclass__(**kwargs) |
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if not issubclass(cls, ADTConstructor): |
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_process_class(cls, repr, eq, order) |
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class Product(ADTConstructor, tuple): |
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__slots__ = () |
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def __new__(*args, **kwargs): |
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cls, *args = args |
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values = cls.__defaults.copy() |
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fields_iter = iter(cls.__annotations) |
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for arg, field in zip(args, fields_iter): |
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values[field] = arg |
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for field in fields_iter: |
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if field in values and field not in kwargs: |
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continue |
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values[field] = kwargs.pop(field) |
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if kwargs: |
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raise TypeError(kwargs) |
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return super(Product, cls).__new__( |
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cls, [values[field] for field in cls.__annotations] |
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) |
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def __init_subclass__(cls, *, repr=True, eq=True, order=False, **kwargs): |
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super().__init_subclass__(**kwargs) |
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if "__annotations__" not in vars(cls): |
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return |
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if order and not eq: |
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raise ValueError("eq must be true if order is true") |
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cls.__annotations = _product_args_from_annotations(cls) |
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cls.__defaults = {} |
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field_names = iter(reversed(tuple(cls.__annotations))) |
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for field in field_names: |
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default = getattr(cls, field, _SENTINEL) |
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if default is _SENTINEL: |
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break |
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cls.__defaults[field] = default |
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for field in field_names: |
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if getattr(cls, field, _SENTINEL) is not _SENTINEL: |
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raise TypeError |
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312
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_product_new(cls, cls.__annotations, cls.__defaults) |
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for index, field in enumerate(cls.__annotations): |
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setattr(cls, field, _tuple_getter(index)) |
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317
|
|
|
_set_new_functions( |
|
318
|
|
|
cls, |
|
319
|
|
|
PrewrittenProductMethods.__setattr__, |
|
320
|
|
|
PrewrittenProductMethods.__delattr__, |
|
321
|
|
|
) |
|
322
|
|
|
_set_new_functions(cls, PrewrittenProductMethods.__bool__) |
|
323
|
|
|
|
|
324
|
|
|
_add_methods(cls, repr, PrewrittenProductMethods.__repr__) |
|
325
|
|
|
|
|
326
|
|
|
equality_methods_were_set = _add_methods( |
|
327
|
|
|
cls, eq, PrewrittenProductMethods.__eq__, PrewrittenProductMethods.__ne__ |
|
328
|
|
|
) |
|
329
|
|
|
|
|
330
|
|
|
_set_hash(cls, equality_methods_were_set, PrewrittenProductMethods) |
|
331
|
|
|
|
|
332
|
|
|
_add_order(cls, order, equality_methods_were_set, PrewrittenProductMethods) |
|
333
|
|
|
|
|
334
|
|
|
|
|
335
|
|
|
__all__ = ["Ctor", "Product", "Sum"] |
|
336
|
|
|
|