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What happens if I push all of nixpkgs
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12345678910111213141516171819202122232425262728293031323334From 7a0d0e625dd9e92159a145a26dd68ef3b61fde6e Mon Sep 17 00:00:00 2001From: Sergey Volkov <taranarmo@gmail.com>Date: Sun, 29 Jun 2025 10:54:00 +0200Subject: [PATCH] replace `ndarray.tostring` with `ndarray.tobytes`
`ndarray.tostring` is deprecated since numpy 1.19 and removed in numpy 2.3https://numpy.org/doc/stable/release/2.3.0-notes.html--- hickle/tests/test_06_load_astropy.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/hickle/tests/test_06_load_astropy.py b/hickle/tests/test_06_load_astropy.pyindex 628a4b3..b630bfd 100755--- a/hickle/tests/test_06_load_astropy.py+++ b/hickle/tests/test_06_load_astropy.py@@ -166,7 +166,7 @@ def test_astropy_time_array(h5_data,compression_kwargs): assert reloaded.format == t1.format assert reloaded.scale == t1.scale for index in range(len(t1)):- assert reloaded.value[index].tostring() == t1.value[index].tostring()+ assert reloaded.value[index].tobytes() == t1.value[index].tobytes() del h_dataset.attrs['np_dtype'] reloaded = load_astropy.load_astropy_time_dataset(h_dataset,b'astropy_time',t1.__class__)@@ -174,7 +174,7 @@ def test_astropy_time_array(h5_data,compression_kwargs): assert reloaded.format == t1.format assert reloaded.scale == t1.scale for index in range(len(t1)):- assert reloaded.value[index].tostring() == t1.value[index].tostring()+ assert reloaded.value[index].tobytes() == t1.value[index].tobytes() loop_counter += 1