Explicit shape comparison for dpnp and numpy outputs

[vtavana]

In the test suite, the result arrays from dpnp and numpy were compared, but their shapes were not explicitly checked for equality. As a result, tests could pass even if the shapes differed, such as one being (1,) and the other ().

This PR adds an explicit check to ensure that the output shapes of numpy and dpnp match. Additionally, tests have been updated accordingly to pass with this new check.

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[github-actions]

View rendered docs @ https://intelpython.github.io/dpnp/pull/2295/index.html

[github-actions]

Array API standard conformance tests for dpnp=0.17.0dev6=py312he4f9c94_22 ran successfully.
Passed: 1004
Failed: 0
Skipped: 10

[coveralls]

coverage: 71.763%. remained the same
when pulling 135df75 on compare-shape
into f56a43f on master.