"""A mypy_ plugin for managing a number of platform-specific annotations.
Its functionality can be split into three distinct parts:
* Assigning the (platform-dependent) precisions of certain `~numpy.number`
subclasses, including the likes of `~numpy.int_`, `~numpy.intp` and
`~numpy.longlong`. See the documentation on
:ref:`scalar types <arrays.scalars.built-in>` for a comprehensive overview
of the affected classes. Without the plugin the precision of all relevant
classes will be inferred as `~typing.Any`.
* Removing all extended-precision `~numpy.number` subclasses that are
unavailable for the platform in question. Most notably this includes the
likes of `~numpy.float128` and `~numpy.complex256`. Without the plugin *all*
extended-precision types will, as far as mypy is concerned, be available
to all platforms.
* Assigning the (platform-dependent) precision of `~numpy.ctypeslib.c_intp`.
Without the plugin the type will default to `ctypes.c_int64`.
.. versionadded:: 1.22
Examples
--------
To enable the plugin, one must add it to their mypy `configuration file`_:
.. code-block:: ini
[mypy]
plugins = numpy.typing.mypy_plugin
.. _mypy: http://mypy-lang.org/
.. _configuration file: https://mypy.readthedocs.io/en/stable/config_file.html
"""
from __future__ import annotations
from collections.abc import Iterable
from typing import Final, TYPE_CHECKING, Callable
import numpy as np
try:
import mypy.types
from mypy.types import Type
from mypy.plugin import Plugin, AnalyzeTypeContext
from mypy.nodes import MypyFile, ImportFrom, Statement
from mypy.build import PRI_MED
_HookFunc = Callable[[AnalyzeTypeContext], Type]
MYPY_EX: None | ModuleNotFoundError = None
except ModuleNotFoundError as ex:
MYPY_EX = ex
__all__: list[str] = []
def _get_precision_dict() -> dict[str, str]:
names = [
("_NBitByte", np.byte),
("_NBitShort", np.short),
("_NBitIntC", np.intc),
("_NBitIntP", np.intp),
("_NBitInt", np.int_),
("_NBitLongLong", np.longlong),
("_NBitHalf", np.half),
("_NBitSingle", np.single),
("_NBitDouble", np.double),
("_NBitLongDouble", np.longdouble),
]
ret = {}
for name, typ in names:
n: int = 8 * typ().dtype.itemsize
ret[f'numpy._typing._nbit.{name}'] = f"numpy._{n}Bit"
return ret
def _get_extended_precision_list() -> list[str]:
extended_names = [
"uint128",
"uint256",
"int128",
"int256",
"float80",
"float96",
"float128",
"float256",
"complex160",
"complex192",
"complex256",
"complex512",
]
return [i for i in extended_names if hasattr(np, i)]
def _get_c_intp_name() -> str:
# Adapted from `np.core._internal._getintp_ctype`
char = np.dtype('p').char
if char == 'i':
return "c_int"
elif char == 'l':
return "c_long"
elif char == 'q':
return "c_longlong"
else:
return "c_long"
#: A dictionary mapping type-aliases in `numpy._typing._nbit` to
#: concrete `numpy.typing.NBitBase` subclasses.
_PRECISION_DICT: Final = _get_precision_dict()
#: A list with the names of all extended precision `np.number` subclasses.
_EXTENDED_PRECISION_LIST: Final = _get_extended_precision_list()
#: The name of the ctypes quivalent of `np.intp`
_C_INTP: Final = _get_c_intp_name()
def _hook(ctx: AnalyzeTypeContext) -> Type:
"""Replace a type-alias with a concrete ``NBitBase`` subclass."""
typ, _, api = ctx
name = typ.name.split(".")[-1]
name_new = _PRECISION_DICT[f"numpy._typing._nbit.{name}"]
return api.named_type(name_new)
if TYPE_CHECKING or MYPY_EX is None:
def _index(iterable: Iterable[Statement], id: str) -> int:
"""Identify the first ``ImportFrom`` instance the specified `id`."""
for i, value in enumerate(iterable):
if getattr(value, "id", None) == id:
return i
raise ValueError("Failed to identify a `ImportFrom` instance "
f"with the following id: {id!r}")
def _override_imports(
file: MypyFile,
module: str,
imports: list[tuple[str, None | str]],
) -> None:
"""Override the first `module`-based import with new `imports`."""
# Construct a new `from module import y` statement
import_obj = ImportFrom(module, 0, names=imports)
import_obj.is_top_level = True
# Replace the first `module`-based import statement with `import_obj`
for lst in [file.defs, file.imports]: # type: list[Statement]
i = _index(lst, module)
lst[i] = import_obj
class _NumpyPlugin(Plugin):
"""A mypy plugin for handling versus numpy-specific typing tasks."""
def get_type_analyze_hook(self, fullname: str) -> None | _HookFunc:
"""Set the precision of platform-specific `numpy.number`
subclasses.
For example: `numpy.int_`, `numpy.longlong` and `numpy.longdouble`.
"""
if fullname in _PRECISION_DICT:
return _hook
return None
def get_additional_deps(
self, file: MypyFile
) -> list[tuple[int, str, int]]:
"""Handle all import-based overrides.
* Import platform-specific extended-precision `numpy.number`
subclasses (*e.g.* `numpy.float96`, `numpy.float128` and
`numpy.complex256`).
* Import the appropriate `ctypes` equivalent to `numpy.intp`.
"""
ret = [(PRI_MED, file.fullname, -1)]
if file.fullname == "numpy":
_override_imports(
file, "numpy._typing._extended_precision",
imports=[(v, v) for v in _EXTENDED_PRECISION_LIST],
)
elif file.fullname == "numpy.ctypeslib":
_override_imports(
file, "ctypes",
imports=[(_C_INTP, "_c_intp")],
)
return ret
def plugin(version: str) -> type[_NumpyPlugin]:
"""An entry-point for mypy."""
return _NumpyPlugin
else:
def plugin(version: str) -> type[_NumpyPlugin]:
"""An entry-point for mypy."""
raise MYPY_EX