Apply ruff format to keep CI linter happy

Author: FrancescAlted

src/blosc2/c2array.py

@@ -18,6 +18,7 @@
 import numpy as np
 
 import blosc2
+
 if not blosc2.IS_WASM:
     import httpx
 

src/blosc2/ndarray.py

@@ -2776,12 +2776,14 @@ def _check_shape(shape):
         raise TypeError("shape should be a tuple or a list!")
     return shape
 
+
 def _check_dtype(dtype):
     dtype = np.dtype(dtype)
     if dtype.itemsize > blosc2.MAX_TYPESIZE:
         raise ValueError(f"dtype itemsize {dtype.itemsize} is too large (>{blosc2.MAX_TYPESIZE})!")
     return dtype
 
+
 def empty(shape: int | tuple | list, dtype: np.dtype | str | None = np.float64, **kwargs: Any) -> NDArray:
     """Create an empty array.
 

tests/conftest.py

@@ -15,6 +15,7 @@
 def pytest_configure(config):
     blosc2.print_versions()
 
+
 @pytest.fixture(scope="session")
 def c2sub_context():
     # You may use the URL and credentials for an already existing user

tests/ndarray/test_nans.py

@@ -31,7 +31,7 @@ def test_nans_simple(shape, dtype):
 
 @pytest.mark.parametrize("asarray", [True, False])
 @pytest.mark.parametrize("typesize", [1, 3, 255, 256, 257, 256 * 256])
-@pytest.mark.parametrize("shape", [(1,), (3,), (10,), (2*10,)])
+@pytest.mark.parametrize("shape", [(1,), (3,), (10,), (2 * 10,)])
 def test_large_typesize(shape, typesize, asarray):
     dtype = np.dtype([("f_001", "f8", (typesize,)), ("f_002", "f4", (typesize,))])
     a = np.full(shape, np.nan, dtype=dtype)

tests/ndarray/test_zeros.py

@@ -126,7 +126,7 @@ def test_zeros_minimal(shape, dtype):
 
 @pytest.mark.parametrize("asarray", [True, False])
 @pytest.mark.parametrize("typesize", [255, 256, 257, 261, 256 * 256])
-@pytest.mark.parametrize("shape", [(1,), (3,), (10,), (2*10,), (2**8 - 1, 3)])
+@pytest.mark.parametrize("shape", [(1,), (3,), (10,), (2 * 10,), (2**8 - 1, 3)])
 def test_large_typesize(shape, typesize, asarray):
     dtype = np.dtype([("f_001", "<i1", (typesize,)), ("f_002", "f4", (typesize,))])
     a = np.zeros(shape, dtype=dtype)