In [1]: import cuda_histogram; import numpy as np; import hist

In [2]: a = cuda_histogram.axis.Variable([0, 2, 3, 9, 10], name="r")

In [3]: c = cuda_histogram.Hist(a)

In [4]: c.fill(np.random.normal(size=1_000_000))

In [5]: c.values(), type(c.values())
Out[5]: (array([478065.,  21503.,   1305.,      0.]), cupy.ndarray)

In [6]: c.values(flow=True), type(c.values(flow=True))
Out[6]: (array([499127., 478065.,  21503.,   1305.,      0.,      0.]), cupy.ndarray)

In [7]: c[1], type(c[1])
Out[7]: (array(21503.), cupy.ndarray)

In [8]: c[::hist.rebin(2)]
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[8], line 1
----> 1 c[:hist.rebin]

File ~\Saransh_softwares\OpenSource\Python\cuda-histogram\src\cuda_histogram\hist.py:75, in Hist._getitem_(self, keys)
     73     return self._sumw[keys]
     74 else:
---> 75     raise ValueError("Convert the histogram to CPU to access full UHI")

ValueError: Convert the histogram to CPU to access full UHI

In [9]: c.to_cpu()[::hist.rebin(2)]
Out[9]: Hist(Variable([0, 3, 10], name='r', label='Axis 0'), storage=Double()) # Sum: 500873.0

In [10]: c.to_cpu()[::hist.rebin(2)].values(), type(c.to_cpu()[::hist.rebin(2)].values())
Out[10]: (array([499568.,   1305.]), numpy.ndarray)