MAINT: Remove `NPY_USE_NEW_CASTINGIMPL`

This doesn't serve any purpose anymore. The new code is now always
used.  (In very few cases this may lead to small slowdowns, this
should only matter in ufuncs where it doesn't seem to matter enough
to worry about it.)

1 files changed, 0 insertions, 11 deletions

diff --git a/numpy/core/setup.py b/numpy/core/setup.py
index 2af2426dd..b03e9f990 100644
--- a/numpy/core/setup.py
+++ b/numpy/core/setup.py
@@ -23,11 +23,6 @@ NPY_RELAXED_STRIDES_CHECKING = (os.environ.get('NPY_RELAXED_STRIDES_CHECKING', "
 NPY_RELAXED_STRIDES_DEBUG = (os.environ.get('NPY_RELAXED_STRIDES_DEBUG', "0") != "0")
 NPY_RELAXED_STRIDES_DEBUG = NPY_RELAXED_STRIDES_DEBUG and NPY_RELAXED_STRIDES_CHECKING
 
-# Set to True to use the new casting implementation as much as implemented.
-# Allows running the full test suit to exercise the new machinery until
-# it is used as default and the old version is eventually deleted.
-NPY_USE_NEW_CASTINGIMPL = os.environ.get('NPY_USE_NEW_CASTINGIMPL', "0") != "0"
-
 # XXX: ugly, we use a class to avoid calling twice some expensive functions in
 # config.h/numpyconfig.h. I don't see a better way because distutils force
 # config.h generation inside an Extension class, and as such sharing
@@ -472,12 +467,6 @@ def configuration(parent_package='',top_path=None):
             else:
                 moredefs.append(('NPY_RELAXED_STRIDES_DEBUG', 0))
 
-            # Use the new experimental casting implementation in NumPy 1.20:
-            if NPY_USE_NEW_CASTINGIMPL:
-                moredefs.append(('NPY_USE_NEW_CASTINGIMPL', 1))
-            else:
-                moredefs.append(('NPY_USE_NEW_CASTINGIMPL', 0))
-
             # Get long double representation
             rep = check_long_double_representation(config_cmd)
             moredefs.append(('HAVE_LDOUBLE_%s' % rep, 1))