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apply monkeypatches in vendored nptyping, remove monkeypatch module and call

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sneakers-the-rat 2024-07-31 14:08:26 -07:00
parent 4c911d2516
commit 4604e7e7bb
Signed by untrusted user who does not match committer: jonny
GPG key ID: 6DCB96EF1E4D232D
2 changed files with 0 additions and 70 deletions
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4
src/numpydantic/__init__.py
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@ -1,10 +1,6 @@
# ruff: noqa: E402
# ruff: noqa: F401 # ruff: noqa: F401
# ruff: noqa: I001 # ruff: noqa: I001
# ruff: noqa: D104 # ruff: noqa: D104
from numpydantic.monkeypatch import apply_patches
apply_patches()
from numpydantic.ndarray import NDArray from numpydantic.ndarray import NDArray
from numpydantic.meta import update_ndarray_stub from numpydantic.meta import update_ndarray_stub

66
src/numpydantic/monkeypatch.py
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@ -1,66 +0,0 @@
"""
Functions to monkeypatch dependent packages - most notably nptyping
"""
# ruff: noqa: ANN001
def patch_npytyping_perf() -> None:
"""
npytyping makes an expensive call to inspect.stack()
that makes imports of pydantic models take ~200x longer than
they should:
References:
- https://github.com/ramonhagenaars/nptyping/issues/110
"""
import inspect
from types import FrameType
from nptyping import base_meta_classes, ndarray, recarray
from nptyping.pandas_ import dataframe
# make a new __module__ methods for the affected classes
def new_module_ndarray(cls) -> str: # pragma: no cover
return cls._get_module(inspect.currentframe(), "nptyping.ndarray")
def new_module_recarray(cls) -> str: # pragma: no cover
return cls._get_module(inspect.currentframe(), "nptyping.recarray")
def new_module_dataframe(cls) -> str: # pragma: no cover
return cls._get_module(inspect.currentframe(), "nptyping.pandas_.dataframe")
# and a new _get_module method for the parent class
def new_get_module(cls, stack: FrameType, module: str) -> str: # pragma: no cover
return (
"typing"
if inspect.getframeinfo(stack.f_back).function == "formatannotation"
else module
)
# now apply the patches
ndarray.NDArrayMeta.__module__ = property(new_module_ndarray)
recarray.RecArrayMeta.__module__ = property(new_module_recarray)
dataframe.DataFrameMeta.__module__ = property(new_module_dataframe)
base_meta_classes.SubscriptableMeta._get_module = new_get_module
def patch_nptyping_warnings() -> None:
"""
nptyping shits out a bunch of numpy deprecation warnings from using
olde aliases
References:
- https://github.com/ramonhagenaars/nptyping/issues/113
- https://github.com/ramonhagenaars/nptyping/issues/102
"""
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning, module="nptyping.*")
def apply_patches() -> None:
"""Apply all monkeypatches!"""
patch_npytyping_perf()
patch_nptyping_warnings()