MAINT: remove debug leftovers

Author: ev-br

torch_np/_normalizations.py

@@ -118,7 +118,6 @@ def wrapped(*args, **kwds):
         # loop over positional parameters and actual arguments
         lst, dct = [], {}
         for arg, (name, parm) in zip(args, sig.parameters.items()):
-            print(arg, name, parm.annotation)
             lst.append(normalize_this(arg, parm))
 
         # normalize keyword arguments
@@ -129,7 +128,6 @@ def wrapped(*args, **kwds):
                     f"{func.__name__}() got an unexpected keyword argument '{name}'."
                 )
 
-            print("kw: ", name, sig.parameters[name].annotation)
             parm = sig.parameters[name]
             dct[name] = normalize_this(arg, parm)
 
@@ -144,19 +142,6 @@ def wrapped(*args, **kwds):
                 f"{func.__name__}() takes {len(ba.args)} positional argument but {len(args)} were given."
             )
 
-        # TODO:
-        # 1. [LOOKS OK] kw-only parameters : see vstack
-        # 2. [LOOKS OK] extra unknown args -- error out : nonzero([2, 0, 3], oops=42)
-        # 3. [LOOKS OK] optional (tensor_or_none) : untyped => pass through
-        # 4. [LOOKS OK] DTypeLike : positional or kw
-        # 5. axes : live in _impl or in types? several ways of handling them
-        # 6. [OK, NOT HERE] keepdims : peel off, postprocess
-        # 7. OutLike : normal & keyword-only, peel off, postprocess
-        # 8. [LOOKS OK] *args
-        # 9. [LOOKS OK] consolidate normalizations (_funcs, _wrapper)
-        # 10. [LOOKS OK] consolidate decorators (_{unary,binary}_ufuncs)
-        # 11. out= arg : validate it's an ndarray
-
         # finally, pass normalized arguments through
         result = func(*ba.args, **ba.kwargs)
         return result