Fixed issue in asarray_from_numpy for uint64 dtype.

[npolina4]

Fixed issue #948 in asarray_from_numpy for uint64 dtype. And changed call copy_to function

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• Have you tested your changes locally for CPU and GPU devices?

[github-actions]

View rendered docs @ https://intelpython.github.io/dpctl/pulls/949/index.html

[coveralls]

Coverage decreased (-0.06%) to 82.047% when pulling eb9b652 on fix-issue-948 into 2723947 on master.

[github-actions]

Array API standard conformance tests for dpctl=0.14.0dev0=py310h8c27c75_199 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[github-actions]

Array API standard conformance tests for dpctl=0.14.0dev0=py310h8c27c75_200 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[oleksandr-pavlyk]

FYI, change from res[...] = ary to call to ti._copy_numpy_ndarray_into_usm_ndarray(src=ary, dst=res, sycl_queue=copy_q) break test runs on Iris Xe, because logic in __setitem__ adapts to this scenario by downcasting on the host.

[oleksandr-pavlyk]

Please run pre-commit install in your environment.

[oleksandr-pavlyk]

I pushed a commit to address the weakness in deducing asarray(x) output type from the input type and the device information.

I have also replaced use of res[...] = ary to fix test run on Iris Xe.

[github-actions]

Array API standard conformance tests for dpctl=0.14.0dev0=py310h8c27c75_201 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[github-actions]

Deleted rendered PR docs from intelpython.github.com/dpctl, latest should be updated shortly. 🤞

[github-actions]

Array API standard conformance tests for dpctl=0.14.0dev0=py310h8c27c75_201 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138