clip permits None for min and max

[ndgrigorian]

This pull request adjusts dpctl.tensor.clip to permit min and max to be None simultaneously, resulting in effectively a no-op.

In addition, makes a small adjustment to dpctl.tensor.copy, which would return a TypeError instead of raising it, and resolves #1489 by fixing two typos in _resolve_one_strong_one_weak_types

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• Have you tested your changes locally for CPU and GPU devices?
• Have you made sure that new changes do not introduce compiler warnings?
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[github-actions]

View rendered docs @ https://intelpython.github.io/dpctl/pulls/1505/index.html

[coveralls]

coverage: 90.974% (+0.3%) from 90.684%
when pulling 5f49400 on clip-array-api-changes
into 5fca9e2 on master.

[github-actions]

Array API standard conformance tests for dpctl=0.15.1dev3=py310h15de555_28 ran successfully.
Passed: 908
Failed: 1
Skipped: 86

[github-actions]

Array API standard conformance tests for dpctl=0.15.1dev3=py310h15de555_29 ran successfully.
Passed: 908
Failed: 1
Skipped: 86

[github-actions]

Array API standard conformance tests for dpctl=0.15.1dev3=py310h15de555_32 ran successfully.
Passed: 908
Failed: 1
Skipped: 86

[oleksandr-pavlyk]

LGTM! Nice to see coverage climb up like this. Thank you @ndgrigorian

[antonwolfy]

Works as expected with DPNP tests now. Thank you @ndgrigorian !

[github-actions]

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