in [x, y, z] → in (x, y, z)

Suggested by refurb.
DimitriPapadopoulos · Sep 24, 2023 · 1c81e56 · 1c81e56
1 parent d0b3416
commit 1c81e56
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Showing 4 changed files with 7 additions and 7 deletions.
diff --git a/bench/compress_numpy.py b/bench/compress_numpy.py
@@ -44,11 +44,11 @@
 for in_, label in arrays:
     print("\n*** %s ***" % label)
     for codec in blosc2.Codec:
-        for filter in [
+        for filter in (
             blosc2.Filter.NOFILTER,
             blosc2.Filter.SHUFFLE,
             blosc2.Filter.BITSHUFFLE,
-        ]:
+        ):
             clevel = 6
             t0 = time.time()
             c = blosc2.compress(in_, in_.itemsize, clevel=clevel, filter=filter, codec=codec)

diff --git a/tests/ndarray/test_copy.py b/tests/ndarray/test_copy.py
@@ -34,7 +34,7 @@ def test_copy(shape, chunks1, blocks1, chunks2, blocks2, dtype):
     assert a.shape == b.shape
     assert a.schunk.dparams == b.schunk.dparams
     for key in cparams2.keys():
-        if key in ["filters", "filters_meta"]:
+        if key in ("filters", "filters_meta"):
             assert b.schunk.cparams[key][: len(cparams2[key])] == cparams2[key]
             continue
         assert b.schunk.cparams[key] == cparams2[key]

diff --git a/tests/ndarray/test_full.py b/tests/ndarray/test_full.py
@@ -81,7 +81,7 @@ def test_full(shape, chunks, blocks, fill_value, cparams, dparams, dtype, urlpat
 
     b = np.full(shape=shape, fill_value=fill_value, dtype=a.dtype)
     tol = 1e-5 if dtype is np.float32 else 1e-14
-    if dtype in [np.float32, np.float64]:
+    if dtype in (np.float32, np.float64):
         np.testing.assert_allclose(a[...], b, rtol=tol, atol=tol)
     else:
         np.array_equal(a[...], b)
@@ -106,7 +106,7 @@ def test_full_simple(shape, fill_value, dtype):
 
     b = np.full(shape=shape, fill_value=fill_value, dtype=a.dtype)
     tol = 1e-5 if dtype is np.float32 else 1e-14
-    if dtype in [np.float32, np.float64]:
+    if dtype in (np.float32, np.float64):
         np.testing.assert_allclose(a[...], b, rtol=tol, atol=tol)
     else:
         np.array_equal(a[...], b)
diff --git a/tests/ndarray/test_lossy.py b/tests/ndarray/test_lossy.py
@@ -66,13 +66,13 @@ def test_lossy(shape, cparams, dtype, urlpath, contiguous):
     a = blosc2.asarray(array, cparams=cparams, urlpath=urlpath, contiguous=contiguous, mode="w")
 
     if (
-        a.schunk.cparams["codec"] in [blosc2.Codec.ZFP_RATE, blosc2.Codec.ZFP_PREC, blosc2.Codec.ZFP_ACC]
+        a.schunk.cparams["codec"] in (blosc2.Codec.ZFP_RATE, blosc2.Codec.ZFP_PREC, blosc2.Codec.ZFP_ACC)
         or a.schunk.cparams["filters"][0] == blosc2.Filter.NDMEAN
     ):
         _ = a[...]
     else:
         tol = 1e-5
-        if dtype in [np.float32, np.float64]:
+        if dtype in (np.float32, np.float64):
             np.testing.assert_allclose(a[...], array, rtol=tol, atol=tol)
         else:
             np.array_equal(a[...], array)