Merge pull request #18642 from seberg/splitup-faster-argparsing-optimize-asarray

ENH: Use new argument parsing for array creation functions

1 files changed, 4 insertions, 5 deletions

diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index c6db42ce4..44eac31ef 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -593,7 +593,7 @@ def piecewise(x, condlist, funclist, *args, **kw):
             not isinstance(condlist[0], (list, ndarray)) and x.ndim != 0):
         condlist = [condlist]
 
-    condlist = array(condlist, dtype=bool)
+    condlist = asarray(condlist, dtype=bool)
     n = len(condlist)
 
     if n == n2 - 1:  # compute the "otherwise" condition.
@@ -2191,15 +2191,14 @@ class vectorize:
             ufunc, otypes = self._get_ufunc_and_otypes(func=func, args=args)
 
             # Convert args to object arrays first
-            inputs = [array(a, copy=False, subok=True, dtype=object)
-                      for a in args]
+            inputs = [asanyarray(a, dtype=object) for a in args]
 
             outputs = ufunc(*inputs)
 
             if ufunc.nout == 1:
-                res = array(outputs, copy=False, subok=True, dtype=otypes[0])
+                res = asanyarray(outputs, dtype=otypes[0])
             else:
-                res = tuple([array(x, copy=False, subok=True, dtype=t)
+                res = tuple([asanyarray(x, dtype=t)
                              for x, t in zip(outputs, otypes)])
         return res