uefi: helpers: Add DevicePathNode abstractions

[Ayush1325]

• UEFI device path is a series of nodes layed out in a contiguous memory region. So it makes sense to use Iterator abstraction for modeling DevicePaths
• This PR has been split off from uefi: fs: Implement exists #135368 for easier review. The allow dead_code will be removed in uefi: fs: Implement exists #135368

cc @nicholasbishop

[rustbot]

r? @Mark-Simulacrum

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[Ayush1325]

cc @jhpratt @joboet

[Ayush1325]

cc @Mark-Simulacrum

[Ayush1325]

r? libs

[cuviper]

@bors r=nicholasbishop,cuviper

[bors]

📌 Commit 61e550a has been approved by nicholasbishop,cuviper

It is now in the queue for this repository.

[bors]

⌛ Testing commit 61e550a with merge cb50d4d...

[bors]

☀️ Test successful - checks-actions
Approved by: nicholasbishop,cuviper
Pushing cb50d4d to master...

[github-actions]

Post-merge analysis result

Test differences

No test diffs found

[rust-timer]

Finished benchmarking commit (cb50d4d): comparison URL.

Overall result: ❌ regressions - no action needed

@rustbot label: -perf-regression

Instruction count

This is the most reliable metric that we have; it was used to determine the overall result at the top of this comment. However, even this metric can sometimes exhibit noise.

	mean	range	count
Regressions ❌ (primary)	1.8%	[1.8%, 1.8%]	1
Regressions ❌ (secondary)	0.3%	[0.3%, 0.3%]	1
Improvements ✅ (primary)	-	-	0
Improvements ✅ (secondary)	-	-	0
All ❌✅ (primary)	1.8%	[1.8%, 1.8%]	1

Max RSS (memory usage)

Results (primary 1.2%)

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

	mean	range	count
Regressions ❌ (primary)	1.2%	[1.2%, 1.2%]	1
Regressions ❌ (secondary)	-	-	0
Improvements ✅ (primary)	-	-	0
Improvements ✅ (secondary)	-	-	0
All ❌✅ (primary)	1.2%	[1.2%, 1.2%]	1

Cycles

Results (secondary 3.1%)

This is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.

	mean	range	count
Regressions ❌ (primary)	-	-	0
Regressions ❌ (secondary)	3.1%	[3.1%, 3.1%]	1
Improvements ✅ (primary)	-	-	0
Improvements ✅ (secondary)	-	-	0
All ❌✅ (primary)	-	-	0

Binary size

This benchmark run did not return any relevant results for this metric.

Bootstrap: 775.364s -> 773.132s (-0.29%)
Artifact size: 365.01 MiB -> 365.00 MiB (-0.00%)