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📁 ..
📄 __init__.py(4.98 KB)
📄 __pkginfo__.py(274 B)
📁 __pycache__
📄 _ast.py(4.05 KB)
📄 _backport_stdlib_names.py(6.85 KB)
📄 _cache.py(786 B)
📄 arguments.py(12.65 KB)
📄 astroid_manager.py(572 B)
📄 bases.py(24.99 KB)
📁 brain
📄 builder.py(18.35 KB)
📄 const.py(1.07 KB)
📄 constraint.py(4.92 KB)
📄 context.py(5.85 KB)
📄 decorators.py(9.85 KB)
📄 exceptions.py(12.78 KB)
📄 filter_statements.py(9.42 KB)
📄 helpers.py(11.07 KB)
📄 inference.py(44.06 KB)
📄 inference_tip.py(2.82 KB)
📁 interpreter
📄 manager.py(17.54 KB)
📄 mixins.py(1.15 KB)
📄 modutils.py(22.96 KB)
📄 node_classes.py(1.8 KB)
📁 nodes
📄 objects.py(12.46 KB)
📄 protocols.py(32.2 KB)
📄 raw_building.py(22.34 KB)
📄 rebuilder.py(77.86 KB)
📄 scoped_nodes.py(958 B)
📄 test_utils.py(2.38 KB)
📄 transforms.py(3.19 KB)
📄 typing.py(1.94 KB)
📄 util.py(4.62 KB)

Editing: inference_tip.py

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt

"""Transform utilities (filters and decorator)."""

from __future__ import annotations

import typing
from collections.abc import Iterator

import wrapt

from astroid.exceptions import InferenceOverwriteError, UseInferenceDefault
from astroid.nodes import NodeNG
from astroid.typing import InferenceResult, InferFn

_cache: dict[tuple[InferFn, NodeNG], list[InferenceResult] | None] = {}

def clear_inference_tip_cache() -> None:
    """Clear the inference tips cache."""
    _cache.clear()

@wrapt.decorator
def _inference_tip_cached(
    func: InferFn, instance: None, args: typing.Any, kwargs: typing.Any
) -> Iterator[InferenceResult]:
    """Cache decorator used for inference tips."""
    node = args[0]
    try:
        result = _cache[func, node]
        # If through recursion we end up trying to infer the same
        # func + node we raise here.
        if result is None:
            raise UseInferenceDefault()
    except KeyError:
        _cache[func, node] = None
        result = _cache[func, node] = list(func(*args, **kwargs))
        assert result
    return iter(result)

def inference_tip(infer_function: InferFn, raise_on_overwrite: bool = False) -> InferFn:
    """Given an instance specific inference function, return a function to be
    given to AstroidManager().register_transform to set this inference function.

:param bool raise_on_overwrite: Raise an `InferenceOverwriteError`
        if the inference tip will overwrite another. Used for debugging

Typical usage

.. sourcecode:: python

AstroidManager().register_transform(Call, inference_tip(infer_named_tuple),
                                  predicate)

.. Note::

Using an inference tip will override
        any previously set inference tip for the given
        node. Use a predicate in the transform to prevent
        excess overwrites.
    """

def transform(node: NodeNG, infer_function: InferFn = infer_function) -> NodeNG:
        if (
            raise_on_overwrite
            and node._explicit_inference is not None
            and node._explicit_inference is not infer_function
        ):
            raise InferenceOverwriteError(
                "Inference already set to {existing_inference}. "
                "Trying to overwrite with {new_inference} for {node}".format(
                    existing_inference=infer_function,
                    new_inference=node._explicit_inference,
                    node=node,
                )
            )
        # pylint: disable=no-value-for-parameter
        node._explicit_inference = _inference_tip_cached(infer_function)
        return node

return transform

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Editing: inference_tip.py

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