hotfix: don't use noqa: E702 that's just dumb

maxhahn · Jan 25, 2024 · aa0d1b6 · aa0d1b6
1 parent b92945c
commit aa0d1b6
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Showing 2 changed files with 6 additions and 3 deletions.
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
@@ -63,8 +63,8 @@ jobs:
         source venv/bin/activate
         pip install $GITHUB_WORKSPACE
         python -c "from tinygrad.tensor import Tensor; print(Tensor([1,2,3,4,5]))"
-    - name: Repo line count <5000 lines
-      run: MAX_LINE_COUNT=5000 python sz.py
+    - name: Repo line count <6000 lines
+      run: MAX_LINE_COUNT=6000 python sz.py
 
   testcpuimagenet:
     name: CPU and ImageNet to C Tests

diff --git a/tinygrad/runtime/ops_llvm.py b/tinygrad/runtime/ops_llvm.py
@@ -26,7 +26,10 @@ def __call__(self, *bufs, vals:Tuple[int, ...]=(), wait=False):
 
 class LLVMDevice(Compiled):
   def __init__(self, device:str):
-    llvm.initialize(); llvm.initialize_native_target(); llvm.initialize_native_asmprinter(); llvm.initialize_native_asmparser()  # noqa: E702
+    llvm.initialize()
+    llvm.initialize_native_target()
+    llvm.initialize_native_asmprinter()
+    llvm.initialize_native_asmparser()
     self.optimizer: llvm.passmanagers.ModulePassManager = llvm.create_module_pass_manager()
     # this opt actually can change things. ex: opt=3 means no FMA, opt=2 means FMA
     self.target_machine: llvm.targets.TargetMachine = llvm.Target.from_triple(llvm.get_process_triple()).create_target_machine(opt=2)