implement PartialEq<VecDeque<U>> for Vec<T>, &[T], &mut [T], [T; N] and &mut [T; N]

[iAeternus]

This PR is a response to #152830. It implement PartialEq<VecDeque> for Vec, &[T], &mut [T], [T; N] and &mut [T; N]. To be symmetrical with the standard library's __impl_slice_eq1, I added the __impl_slice_eq2 macro to generate the implementation. Additionally, I added the reverse equality unit test (test_partial_eq_vecdeque_reverse), modified too_generic_eval_ice.current.stderr, and passed the local tests.
This PR does not involve the comparison between Cow vs Vec and Cow vs &mut [T].
PS:
This is my first time participating in this project. If there are any mistakes, please feel free to correct me.

[rustbot]

r? @joboet

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• Owners of files modified in this PR: libs
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[workingjubilee]

...who says "corrigendum"? This isn't an academics paper, this is a PR. Your PR's description should be as succinct as you can make it, and written by hand in your own words. See https://forge.rust-lang.org/how-to-start-contributing.html#etiquette

[workingjubilee]

This PR is already addressed by #149045

[workingjubilee]

Wait, this isn't addressed by that, this is VecDeque not Vec.

[joboet]

r? libs-api

This will need an FCP.

This is my first time participating in this project. If there are any mistakes, please feel free to correct me.

Welcome! As it stands, the PR description is very bloated and reads like the LLM-generated robot-speak that it is (if you read it through, every information is repeated twice). That comes across as quite rude; after all, why should anyone spend time on your work if you didn't invest your?

So please, write your contributions yourself. As far as I can tell from your profile, English isn't your first language (it isn't for me either). Using translation tools is completely fine, but please make sure that the generated output is close to what you had originally written. Try prompting the LLM to keep that in mind – context matters, even and especially for mindless stochastic parrots. And in the end, even the most nuanced prompt cannot and should not replace a manual review of the output.

@rustbot author
until then.

[rustbot]

Reminder, once the PR becomes ready for a review, use @rustbot ready.

[iAeternus]

r? libs-api

This will need an FCP.

This is my first time participating in this project. If there are any mistakes, please feel free to correct me.

Welcome! As it stands, the PR description is very bloated and reads like the LLM-generated robot-speak that it is (if you read it through, every information is repeated twice). That comes across as quite rude; after all, why should anyone spend time on your work if you didn't invest your?

So please, write your contributions yourself. As far as I can tell from your profile, English isn't your first language (it isn't for me either). Using translation tools is completely fine, but please make sure that the generated output is close to what you had originally written. Try prompting the LLM to keep that in mind – context matters, even and especially for mindless stochastic parrots. And in the end, even the most nuanced prompt cannot and should not replace a manual review of the output.

@rustbot author until then.

Thank you for your suggestion. I have rewritten the PR description. From now on, I will describe the PR in my own words.

[iAeternus]

@rustbot ready