[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,27 +1,27 @@
 repos:
     - repo: https://github.com/pre-commit/mirrors-mypy
-      rev: 'v1.5.1'
+      rev: 'v1.19.1'
       hooks:
             - id: mypy
               language: system
               pass_filenames: false
               args: ['legate_sparse']
-    - repo: https://github.com/psf/black
-      rev: 23.9.1
+    - repo: https://github.com/psf/black-pre-commit-mirror
+      rev: 25.12.0
       hooks:
             - id: black
     - repo: https://github.com/PyCQA/isort
-      rev: 5.12.0
+      rev: 7.0.0
       hooks:
             - id: isort
               args: ["--profile", "black"]
     - repo: https://github.com/PyCQA/flake8
-      rev: 6.1.0
+      rev: 7.3.0
       hooks:
             - id: flake8
               args: [--config=.flake8]
     - repo: https://github.com/pre-commit/mirrors-clang-format
-      rev: 'v16.0.6'  # Use the sha / tag you want to point at
+      rev: 'v21.1.8'  # Use the sha / tag you want to point at
       hooks:
         - id: clang-format
           files: \.(cu|cuh|h|cc|inl)$

examples/common.py

@@ -171,8 +171,7 @@ class DummyScope:
     that may or may not use resource scoping.
     """
 
-    def __init__(self):
-        ...
+    def __init__(self): ...
 
     def __enter__(self):
         """Enter the context (no-op)."""

examples/pde.py

@@ -218,7 +218,9 @@ def execute(nx, ny, plot, plot_fname, throughput, tol, max_iters, warmup_iters,
         # If we're testing throughput, run only the prescribed number of iterations.
         if throughput:
             if use_legate:
-                p_sol, iters = linalg.cg(A, bflat, rtol=tol, maxiter=max_iters, conv_test_iters=max_iters)
+                p_sol, iters = linalg.cg(
+                    A, bflat, rtol=tol, maxiter=max_iters, conv_test_iters=max_iters
+                )
             else:
                 p_sol, iters = linalg.cg(A, bflat, rtol=tol, maxiter=max_iters)
         else:

legate_sparse/coverage.py

@@ -43,8 +43,7 @@ def should_wrap(obj: object) -> bool:
 
 
 class AnyCallable(Protocol):
-    def __call__(self, *args: Any, **kwargs: Any) -> Any:
-        ...
+    def __call__(self, *args: Any, **kwargs: Any) -> Any: ...
 
 
 def wrap(func: AnyCallable) -> Any:

legate_sparse/module.py

@@ -59,6 +59,7 @@
 def _is_sparse_matrix(obj) -> bool:
     return any((isinstance(obj, csr_array), isinstance(obj, dia_array)))
 
+
 def isspmatrix(obj) -> bool:
     """Check if an object is a legate sparse matrix.
 

scripts/memlog_analysis.py

@@ -16,10 +16,10 @@
 
     # Parse the log file
     allocations = parse_memlog('memlog.txt')
-    
+
     # Export to CSV
     export_to_csv(allocations, 'memory_analysis.csv')
-    
+
     # Create visualizations (requires pandas, matplotlib, seaborn)
     visualize_allocations(allocations)
 """  # noqa: W293