Update black

.pre-commit-config.yaml

@@ -1,6 +1,5 @@
 repos:
 -   repo: https://github.com/psf/black
-    rev: 20.8b1
+    rev: 22.3.0
     hooks:
     - id: black
-      language_version: python3.6

src/net/evaluator.py

@@ -229,7 +229,7 @@ def multiprocess_worker(
             setattr(result, "compressed_source", compressed_source)
             result.source = None
 
-        time_us = int((time.time() - time_before) * 10 ** 6)
+        time_us = int((time.time() - time_before) * 10**6)
         task_queue.put(
             WorkDone(perm_id=work.perm_id, id=work.id, time_us=time_us, result=result)
         )
@@ -389,7 +389,7 @@ def try_remove(perm_id: str) -> None:
                 else:
                     traceback.print_exc()
 
-            msg["time_us"] = int((time.time() - time_before) * 10 ** 6)
+            msg["time_us"] = int((time.time() - time_before) * 10**6)
             port.send_json(msg)
 
         elif isinstance(item, RemovePermuter):

src/net/server.py

@@ -383,7 +383,7 @@ def _write_one(self, item: Output) -> None:
             self._port.send_json({"type": "need_work"})
 
         elif isinstance(item, OutputWork):
-            overhead_us = int((time.time() - item.time_start) * 10 ** 6) - item.time_us
+            overhead_us = int((time.time() - item.time_start) * 10**6) - item.time_us
             self._port.send_json(
                 {
                     "type": "update",
@@ -860,7 +860,7 @@ def _start_evaluator(docker_image: str, options: ServerOptions) -> DockerPort:
             volumes={src_path: {"bind": "/src", "mode": "ro"}},
             tmpfs={"/tmp": "size=1G,exec"},
             nano_cpus=int(options.num_cores * 1e9),
-            mem_limit=int(options.max_memory_gb * 2 ** 30),
+            mem_limit=int(options.max_memory_gb * 2**30),
             read_only=True,
             network_disabled=True,
         )

src/permuter.py

@@ -180,7 +180,7 @@ def _eval_candidate(self, seed: int) -> CandidateResult:
         if not self._cur_cand or not keep:
             eval_state = EvalState()
             cand_c = self._permutations.evaluate(seed, eval_state)
-            rng_seed = self._force_rng_seed or random.randrange(1, 10 ** 20)
+            rng_seed = self._force_rng_seed or random.randrange(1, 10**20)
             self._cur_seed = (seed, rng_seed)
             self._cur_cand = Candidate.from_source(
                 cand_c,

src/randomizer.py

@@ -81,7 +81,7 @@
 
 # Number larger than any node index. (If you're trying to compile a 1 GB large
 # C file to matching asm, you have bigger problems than this limit.)
-MAX_INDEX = 10 ** 9
+MAX_INDEX = 10**9
 
 T = TypeVar("T")
 

src/scorer.py

@@ -8,7 +8,7 @@
 
 
 class Scorer:
-    PENALTY_INF = 10 ** 9
+    PENALTY_INF = 10**9
 
     PENALTY_STACKDIFF = 1
     PENALTY_REGALLOC = 5