gtn/.venv/Lib/site-packages/mypyc/irbuild/context.py
Tipragot 628be439b8 Ajout d'un environement de développement.
Cela permet de ne pas avoir de problèmes de compatibilité
car python est dans le git.
2023-10-26 15:33:03 +02:00

185 lines
6.5 KiB
Python

"""Helpers that store information about functions and the related classes."""
from __future__ import annotations
from mypy.nodes import FuncItem
from mypyc.ir.class_ir import ClassIR
from mypyc.ir.func_ir import INVALID_FUNC_DEF
from mypyc.ir.ops import BasicBlock, Value
from mypyc.irbuild.targets import AssignmentTarget
class FuncInfo:
"""Contains information about functions as they are generated."""
def __init__(
self,
fitem: FuncItem = INVALID_FUNC_DEF,
name: str = "",
class_name: str | None = None,
namespace: str = "",
is_nested: bool = False,
contains_nested: bool = False,
is_decorated: bool = False,
in_non_ext: bool = False,
) -> None:
self.fitem = fitem
self.name = name
self.class_name = class_name
self.ns = namespace
# Callable classes implement the '__call__' method, and are used to represent functions
# that are nested inside of other functions.
self._callable_class: ImplicitClass | None = None
# Environment classes are ClassIR instances that contain attributes representing the
# variables in the environment of the function they correspond to. Environment classes are
# generated for functions that contain nested functions.
self._env_class: ClassIR | None = None
# Generator classes implement the '__next__' method, and are used to represent generators
# returned by generator functions.
self._generator_class: GeneratorClass | None = None
# Environment class registers are the local registers associated with instances of an
# environment class, used for getting and setting attributes. curr_env_reg is the register
# associated with the current environment.
self._curr_env_reg: Value | None = None
# These are flags denoting whether a given function is nested, contains a nested function,
# is decorated, or is within a non-extension class.
self.is_nested = is_nested
self.contains_nested = contains_nested
self.is_decorated = is_decorated
self.in_non_ext = in_non_ext
# TODO: add field for ret_type: RType = none_rprimitive
def namespaced_name(self) -> str:
return "_".join(x for x in [self.name, self.class_name, self.ns] if x)
@property
def is_generator(self) -> bool:
return self.fitem.is_generator or self.fitem.is_coroutine
@property
def is_coroutine(self) -> bool:
return self.fitem.is_coroutine
@property
def callable_class(self) -> ImplicitClass:
assert self._callable_class is not None
return self._callable_class
@callable_class.setter
def callable_class(self, cls: ImplicitClass) -> None:
self._callable_class = cls
@property
def env_class(self) -> ClassIR:
assert self._env_class is not None
return self._env_class
@env_class.setter
def env_class(self, ir: ClassIR) -> None:
self._env_class = ir
@property
def generator_class(self) -> GeneratorClass:
assert self._generator_class is not None
return self._generator_class
@generator_class.setter
def generator_class(self, cls: GeneratorClass) -> None:
self._generator_class = cls
@property
def curr_env_reg(self) -> Value:
assert self._curr_env_reg is not None
return self._curr_env_reg
class ImplicitClass:
"""Contains information regarding implicitly generated classes.
Implicit classes are generated for nested functions and generator
functions. They are not explicitly defined in the source code.
NOTE: This is both a concrete class and used as a base class.
"""
def __init__(self, ir: ClassIR) -> None:
# The ClassIR instance associated with this class.
self.ir = ir
# The register associated with the 'self' instance for this generator class.
self._self_reg: Value | None = None
# Environment class registers are the local registers associated with instances of an
# environment class, used for getting and setting attributes. curr_env_reg is the register
# associated with the current environment. prev_env_reg is the self.__mypyc_env__ field
# associated with the previous environment.
self._curr_env_reg: Value | None = None
self._prev_env_reg: Value | None = None
@property
def self_reg(self) -> Value:
assert self._self_reg is not None
return self._self_reg
@self_reg.setter
def self_reg(self, reg: Value) -> None:
self._self_reg = reg
@property
def curr_env_reg(self) -> Value:
assert self._curr_env_reg is not None
return self._curr_env_reg
@curr_env_reg.setter
def curr_env_reg(self, reg: Value) -> None:
self._curr_env_reg = reg
@property
def prev_env_reg(self) -> Value:
assert self._prev_env_reg is not None
return self._prev_env_reg
@prev_env_reg.setter
def prev_env_reg(self, reg: Value) -> None:
self._prev_env_reg = reg
class GeneratorClass(ImplicitClass):
"""Contains information about implicit generator function classes."""
def __init__(self, ir: ClassIR) -> None:
super().__init__(ir)
# This register holds the label number that the '__next__' function should go to the next
# time it is called.
self._next_label_reg: Value | None = None
self._next_label_target: AssignmentTarget | None = None
# These registers hold the error values for the generator object for the case that the
# 'throw' function is called.
self.exc_regs: tuple[Value, Value, Value] | None = None
# Holds the arg passed to send
self.send_arg_reg: Value | None = None
# The switch block is used to decide which instruction to go using the value held in the
# next-label register.
self.switch_block = BasicBlock()
self.continuation_blocks: list[BasicBlock] = []
@property
def next_label_reg(self) -> Value:
assert self._next_label_reg is not None
return self._next_label_reg
@next_label_reg.setter
def next_label_reg(self, reg: Value) -> None:
self._next_label_reg = reg
@property
def next_label_target(self) -> AssignmentTarget:
assert self._next_label_target is not None
return self._next_label_target
@next_label_target.setter
def next_label_target(self, target: AssignmentTarget) -> None:
self._next_label_target = target