mirror of https://github.com/python/cpython
311 lines
9.0 KiB
Python
311 lines
9.0 KiB
Python
from __future__ import annotations
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import dataclasses as dc
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import copy
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import enum
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import functools
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import inspect
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from collections.abc import Iterable, Iterator, Sequence
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from typing import Final, Any, TYPE_CHECKING
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if TYPE_CHECKING:
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from libclinic.converter import CConverter
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from libclinic.converters import self_converter
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from libclinic.return_converters import CReturnConverter
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from libclinic.app import Clinic
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from libclinic import VersionTuple, unspecified
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ClassDict = dict[str, "Class"]
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ModuleDict = dict[str, "Module"]
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ParamDict = dict[str, "Parameter"]
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@dc.dataclass(repr=False)
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class Module:
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name: str
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module: Module | Clinic
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def __post_init__(self) -> None:
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self.parent = self.module
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self.modules: ModuleDict = {}
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self.classes: ClassDict = {}
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self.functions: list[Function] = []
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def __repr__(self) -> str:
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return "<clinic.Module " + repr(self.name) + " at " + str(id(self)) + ">"
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@dc.dataclass(repr=False)
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class Class:
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name: str
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module: Module | Clinic
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cls: Class | None
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typedef: str
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type_object: str
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def __post_init__(self) -> None:
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self.parent = self.cls or self.module
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self.classes: ClassDict = {}
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self.functions: list[Function] = []
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def __repr__(self) -> str:
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return "<clinic.Class " + repr(self.name) + " at " + str(id(self)) + ">"
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class FunctionKind(enum.Enum):
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CALLABLE = enum.auto()
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STATIC_METHOD = enum.auto()
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CLASS_METHOD = enum.auto()
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METHOD_INIT = enum.auto()
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METHOD_NEW = enum.auto()
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GETTER = enum.auto()
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SETTER = enum.auto()
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@functools.cached_property
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def new_or_init(self) -> bool:
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return self in {FunctionKind.METHOD_INIT, FunctionKind.METHOD_NEW}
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def __repr__(self) -> str:
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return f"<clinic.FunctionKind.{self.name}>"
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CALLABLE: Final = FunctionKind.CALLABLE
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STATIC_METHOD: Final = FunctionKind.STATIC_METHOD
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CLASS_METHOD: Final = FunctionKind.CLASS_METHOD
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METHOD_INIT: Final = FunctionKind.METHOD_INIT
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METHOD_NEW: Final = FunctionKind.METHOD_NEW
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GETTER: Final = FunctionKind.GETTER
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SETTER: Final = FunctionKind.SETTER
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@dc.dataclass(repr=False)
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class Function:
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"""
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Mutable duck type for inspect.Function.
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docstring - a str containing
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* embedded line breaks
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* text outdented to the left margin
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* no trailing whitespace.
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It will always be true that
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(not docstring) or ((not docstring[0].isspace()) and (docstring.rstrip() == docstring))
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"""
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parameters: ParamDict = dc.field(default_factory=dict)
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_: dc.KW_ONLY
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name: str
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module: Module | Clinic
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cls: Class | None
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c_basename: str
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full_name: str
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return_converter: CReturnConverter
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kind: FunctionKind
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coexist: bool
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return_annotation: object = inspect.Signature.empty
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docstring: str = ''
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# docstring_only means "don't generate a machine-readable
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# signature, just a normal docstring". it's True for
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# functions with optional groups because we can't represent
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# those accurately with inspect.Signature in 3.4.
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docstring_only: bool = False
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forced_text_signature: str | None = None
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critical_section: bool = False
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target_critical_section: list[str] = dc.field(default_factory=list)
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def __post_init__(self) -> None:
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self.parent = self.cls or self.module
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self.self_converter: self_converter | None = None
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self.__render_parameters__: list[Parameter] | None = None
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@functools.cached_property
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def displayname(self) -> str:
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"""Pretty-printable name."""
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if self.kind.new_or_init:
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assert isinstance(self.cls, Class)
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return self.cls.name
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else:
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return self.name
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@functools.cached_property
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def fulldisplayname(self) -> str:
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parent: Class | Module | Clinic | None
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if self.kind.new_or_init:
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parent = getattr(self.cls, "parent", None)
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else:
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parent = self.parent
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name = self.displayname
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while isinstance(parent, (Module, Class)):
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name = f"{parent.name}.{name}"
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parent = parent.parent
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return name
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@property
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def render_parameters(self) -> list[Parameter]:
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if not self.__render_parameters__:
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l: list[Parameter] = []
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self.__render_parameters__ = l
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for p in self.parameters.values():
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p = p.copy()
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p.converter.pre_render()
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l.append(p)
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return self.__render_parameters__
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@property
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def methoddef_flags(self) -> str | None:
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if self.kind.new_or_init:
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return None
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flags = []
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match self.kind:
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case FunctionKind.CLASS_METHOD:
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flags.append('METH_CLASS')
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case FunctionKind.STATIC_METHOD:
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flags.append('METH_STATIC')
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case _ as kind:
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acceptable_kinds = {FunctionKind.CALLABLE, FunctionKind.GETTER, FunctionKind.SETTER}
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assert kind in acceptable_kinds, f"unknown kind: {kind!r}"
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if self.coexist:
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flags.append('METH_COEXIST')
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return '|'.join(flags)
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def __repr__(self) -> str:
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return f'<clinic.Function {self.name!r}>'
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def copy(self, **overrides: Any) -> Function:
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f = dc.replace(self, **overrides)
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f.parameters = {
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name: value.copy(function=f)
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for name, value in f.parameters.items()
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}
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return f
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@dc.dataclass(repr=False, slots=True)
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class Parameter:
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"""
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Mutable duck type of inspect.Parameter.
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"""
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name: str
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kind: inspect._ParameterKind
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_: dc.KW_ONLY
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default: object = inspect.Parameter.empty
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function: Function
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converter: CConverter
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annotation: object = inspect.Parameter.empty
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docstring: str = ''
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group: int = 0
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# (`None` signifies that there is no deprecation)
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deprecated_positional: VersionTuple | None = None
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deprecated_keyword: VersionTuple | None = None
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right_bracket_count: int = dc.field(init=False, default=0)
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def __repr__(self) -> str:
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return f'<clinic.Parameter {self.name!r}>'
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def is_keyword_only(self) -> bool:
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return self.kind == inspect.Parameter.KEYWORD_ONLY
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def is_positional_only(self) -> bool:
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return self.kind == inspect.Parameter.POSITIONAL_ONLY
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def is_vararg(self) -> bool:
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return self.kind == inspect.Parameter.VAR_POSITIONAL
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def is_optional(self) -> bool:
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return not self.is_vararg() and (self.default is not unspecified)
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def copy(
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self,
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/,
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*,
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converter: CConverter | None = None,
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function: Function | None = None,
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**overrides: Any
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) -> Parameter:
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function = function or self.function
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if not converter:
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converter = copy.copy(self.converter)
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converter.function = function
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return dc.replace(self, **overrides, function=function, converter=converter)
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def get_displayname(self, i: int) -> str:
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if i == 0:
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return 'argument'
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if not self.is_positional_only():
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return f'argument {self.name!r}'
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else:
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return f'argument {i}'
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def render_docstring(self) -> str:
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lines = [f" {self.name}"]
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lines.extend(f" {line}" for line in self.docstring.split("\n"))
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return "\n".join(lines).rstrip()
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ParamTuple = tuple["Parameter", ...]
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def permute_left_option_groups(
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l: Sequence[Iterable[Parameter]]
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) -> Iterator[ParamTuple]:
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"""
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Given [(1,), (2,), (3,)], should yield:
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()
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(3,)
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(2, 3)
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(1, 2, 3)
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"""
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yield tuple()
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accumulator: list[Parameter] = []
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for group in reversed(l):
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accumulator = list(group) + accumulator
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yield tuple(accumulator)
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def permute_right_option_groups(
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l: Sequence[Iterable[Parameter]]
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) -> Iterator[ParamTuple]:
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"""
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Given [(1,), (2,), (3,)], should yield:
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()
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(1,)
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(1, 2)
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(1, 2, 3)
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"""
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yield tuple()
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accumulator: list[Parameter] = []
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for group in l:
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accumulator.extend(group)
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yield tuple(accumulator)
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def permute_optional_groups(
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left: Sequence[Iterable[Parameter]],
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required: Iterable[Parameter],
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right: Sequence[Iterable[Parameter]]
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) -> tuple[ParamTuple, ...]:
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"""
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Generator function that computes the set of acceptable
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argument lists for the provided iterables of
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argument groups. (Actually it generates a tuple of tuples.)
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Algorithm: prefer left options over right options.
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If required is empty, left must also be empty.
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"""
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required = tuple(required)
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if not required:
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if left:
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raise ValueError("required is empty but left is not")
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accumulator: list[ParamTuple] = []
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counts = set()
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for r in permute_right_option_groups(right):
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for l in permute_left_option_groups(left):
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t = l + required + r
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if len(t) in counts:
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continue
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counts.add(len(t))
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accumulator.append(t)
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accumulator.sort(key=len)
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return tuple(accumulator)
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