fix tests on GPU (#39)

* fix tests on GPU

* prep v0.1.1

Author: Saransh-cpp

docs/changelog.md

@@ -1,5 +1,13 @@
 # CHANGELOG
 
+## Version 0.1.1
+
+- feat: python 3.13 support [#30][]
+- feat: now available on conda-forge [#31][]
+
+[#31]: https://github.com/scikit-hep/cuda-histogram/pull/31
+[#30]: https://github.com/scikit-hep/cuda-histogram/pull/30
+
 ## Version 0.1.0
 
 Updated documentation and a huge refactor to match the API style of Scikit-HEP

tests/test_hist_tools.py

@@ -58,9 +58,9 @@ def test_hist():
     assert isinstance(h[0, :], cuda_histogram.Hist)
     assert isinstance(h[0, :].values(), cp.ndarray)
     assert (h[0, :].values() == h.values()[0, :]).all()
-    assert isinstance(h[0], cuda_histogram.Hist)
-    assert isinstance(h[0].values(), cp.ndarray)
-    assert (h[0].values() == h.values()[0]).all()
+    assert isinstance(h[0, :], cuda_histogram.Hist)
+    assert isinstance(h[0, :].values(), cp.ndarray)
+    assert (h[0, :].values() == h.values()[0]).all()
     assert isinstance(h[:, 0], cuda_histogram.Hist)
     assert isinstance(h[:, 0].values(), cp.ndarray)
     assert (h[:, 0].values() == h.values()[:, 0].reshape((20, 1))).all()
@@ -99,11 +99,11 @@ def test_hist():
     assert isinstance(h[0, :].variance(), cp.ndarray)
     assert (h[0, :].values() == h.values()[0, :]).all()
     assert (h[0, :].variance() == h.variance()[0, :]).all()
-    assert isinstance(h[0], cuda_histogram.Hist)
-    assert isinstance(h[0].values(), cp.ndarray)
-    assert isinstance(h[0].variance(), cp.ndarray)
-    assert (h[0].values() == h.values()[0]).all()
-    assert (h[0].variance() == h.variance()[0]).all()
+    assert isinstance(h[0, :], cuda_histogram.Hist)
+    assert isinstance(h[0, :].values(), cp.ndarray)
+    assert isinstance(h[0, :].variance(), cp.ndarray)
+    assert (h[0, :].values() == h.values()[0]).all()
+    assert (h[0, :].variance() == h.variance()[0]).all()
     assert isinstance(h[:, 0], cuda_histogram.Hist)
     assert isinstance(h[:, 0].values(), cp.ndarray)
     assert isinstance(h[:, 0].variance(), cp.ndarray)