diff --git a/tinygrad/codegen/uopgraph.py b/tinygrad/codegen/uopgraph.py
index a721940700..cf218301b2 100644
--- a/tinygrad/codegen/uopgraph.py
+++ b/tinygrad/codegen/uopgraph.py
@@ -1,5 +1,5 @@
 from __future__ import annotations
-from typing import Optional, Tuple, Dict, List, cast, TYPE_CHECKING, Any, DefaultDict, Callable
+from typing import Optional, Tuple, Dict, List, TYPE_CHECKING, Any, DefaultDict, Callable
 import functools, itertools, operator
 from collections import defaultdict
 from tinygrad.dtype import dtypes, ImageDType, PtrDType
@@ -121,15 +121,10 @@ def simplify_valid_load(buf:UOp, start_idx:UOp, valid:UOp) -> Optional[UOp]:
 
 # ***** optional patterns *****
 
-transcendental_patterns = [
-  (UPat(UOps.ALU, dtype=TRANSCENDENTAL_SUPPORTED_DTYPES, src=(UPat.var("d"),), arg=UnaryOps.EXP2), xexp2),
-  (UPat(UOps.ALU, dtype=TRANSCENDENTAL_SUPPORTED_DTYPES, src=(UPat.var("d"),), arg=UnaryOps.LOG2), xlog2),
-  (UPat(UOps.ALU, dtype=TRANSCENDENTAL_SUPPORTED_DTYPES, src=(UPat.var("d"),), arg=UnaryOps.SIN), xsin),
-]
-
 @functools.lru_cache(None)
-def get_transcendental_patterns(ops, force_transcendental=False):
-  pat = [(p[0], cast(Callable, p[1])) for p in transcendental_patterns if p[0].arg not in ops or force_transcendental]
+def get_transcendental_patterns(already_supported_ops, force_transcendental=False):
+  pat = [(UPat(UOps.ALU, dtype=TRANSCENDENTAL_SUPPORTED_DTYPES, src=(UPat.var("d"),), arg=op), f) for op,f in \
+           ((UnaryOps.EXP2, xexp2), (UnaryOps.LOG2, xlog2), (UnaryOps.SIN, xsin)) if op not in already_supported_ops or force_transcendental]
   return PatternMatcher(pat)
 
 powers_of_two = {2**i:i for i in range(64)}