spec.py cleanups (#16140)

removed END from shared_spec and NOOP from full_spec

tinygrad/uop/spec.py

@@ -57,9 +57,6 @@ shared_spec = PatternMatcher([
       all(isinstance(ra, int) for ra in rng.arg[0:-1]) and isinstance(rng.arg[-1], AxisType)),
   (UPat(Ops.INDEX, src=(UPat(),), allow_any_len=True, name="x"), lambda x: all(y.dtype == dtypes.weakint for y in x.src[1:]) or None),
 
-  # RANGE/SPECIAL define loops, END closes them
-  (UPat(Ops.END, src=(UPat(), UPat(Ops.RANGE))), lambda: True),
-
   # STORE in tensor graph: store a value into a target
   (UPat(Ops.STORE, dtypes.void, (UPat(), UPat())), lambda: True),
 
@@ -127,7 +124,6 @@ _tensor_spec = PatternMatcher([
   (UPat(Ops.ALLREDUCE, name="red", src=(UPat.var("x"), UPat(Ops.DEVICE))), lambda red,x: red.dtype == x.dtype and isinstance(red.arg, Ops)),
   (UPat(Ops.MULTI, name="multi"), lambda multi: all(x.dtype == multi.dtype for x in multi.src) and isinstance(multi.arg, int)),
 
-
   # AFTER if things were kernelized
   (UPat(Ops.AFTER, src=(UPat((Ops.BUFFER, Ops.AFTER)),), allow_any_len=True), lambda: True),
 
@@ -254,9 +250,6 @@ program_spec = PatternMatcher([
 # *** this spec should match all UOps ever created ***
 
 full_spec = PatternMatcher([
-  # NOOP in the full spec
-  (UPat(Ops.NOOP), lambda: True),
-
   # all rewrite error are okay
   (UPat(Ops.REWRITE_ERROR), lambda: True),