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structured_data.adt._add_order()   A

Complexity

Conditions 4

Size

Total Lines 14
Code Lines 12

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 4
eloc 12
nop 4
dl 0
loc 14
rs 9.8
c 0
b 0
f 0
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"""Base classes for defining abstract data types.
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This module provides three 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 _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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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 _add_prewritten_methods(_cls: typing.Type[_T], _repr, eq, order, src):
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    _set_new_functions(_cls, src.__setattr__, src.__delattr__)
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    _set_new_functions(_cls, src.__bool__)
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    _add_methods(_cls, _repr, src.__repr__)
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    equality_methods_were_set = _add_methods(_cls, eq, src.__eq__, src.__ne__)
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    if equality_methods_were_set:
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        _cls.__hash__ = src.__hash__
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    if 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 _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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    _add_prewritten_methods(_cls, _repr, eq, order, 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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    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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    __slots__ = ()
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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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    """Base class of classes with typed fields.
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    Examines PEP 526 __annotations__ to determine fields.
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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 Product class examines the class to find annotations.
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    Annotations with a value of "None" are discarded.
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    Fields may have default values, and can be set to inspect.empty to
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    indicate "no default".
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    The subclass is subclassable. The implementation was designed with a focus
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    on flexibility over ideals of purity, and therefore provides various
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    optional facilities that conflict with, for example, Liskov
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    substitutability. For the purposes of matching, each class is considered
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    distinct.
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    """
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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, inspect.Parameter.empty)
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            if default is inspect.Parameter.empty:
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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 (
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                getattr(cls, field, inspect.Parameter.empty)
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                is not inspect.Parameter.empty
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            ):
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                raise TypeError
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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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        _add_prewritten_methods(cls, repr, eq, order, PrewrittenProductMethods)
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__all__ = ["Ctor", "Product", "Sum"]
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