From 4604e7e7bbee2dea4270482986fbc68eb3cd0a59 Mon Sep 17 00:00:00 2001
From: sneakers-the-rat <sneakers-the-rat@protonmail.com>
Date: Wed, 31 Jul 2024 14:08:26 -0700
Subject: [PATCH] apply monkeypatches in vendored nptyping, remove monkeypatch
 module and call

---
 src/numpydantic/__init__.py    |  4 ---
 src/numpydantic/monkeypatch.py | 66 ----------------------------------
 2 files changed, 70 deletions(-)
 delete mode 100644 src/numpydantic/monkeypatch.py

diff --git a/src/numpydantic/__init__.py b/src/numpydantic/__init__.py
index d251f8d..803d8d2 100644
--- a/src/numpydantic/__init__.py
+++ b/src/numpydantic/__init__.py
@@ -1,10 +1,6 @@
-# ruff: noqa: E402
 # ruff: noqa: F401
 # ruff: noqa: I001
 # ruff: noqa: D104
-from numpydantic.monkeypatch import apply_patches
-
-apply_patches()
 
 from numpydantic.ndarray import NDArray
 from numpydantic.meta import update_ndarray_stub
diff --git a/src/numpydantic/monkeypatch.py b/src/numpydantic/monkeypatch.py
deleted file mode 100644
index 05607e5..0000000
--- a/src/numpydantic/monkeypatch.py
+++ /dev/null
@@ -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()