Divma f4ffa9e0b4 Handle processing results of non faulty batches (#3439)
## Issue Addressed
Solves #3390 

So after checking some logs @pawanjay176 got, we conclude that this happened because we blacklisted a chain after trying it "too much". Now here, in all occurrences it seems that "too much" means we got too many download failures. This happened very slowly, exactly because the batch is allowed to stay alive for very long times after not counting penalties when the ee is offline. The error here then was not that the batch failed because of offline ee errors, but that we blacklisted a chain because of download errors, which we can't pin on the chain but on the peer. This PR fixes that.

## Proposed Changes

Adds a missing piece of logic so that if a chain fails for errors that can't be attributed to an objectively bad behavior from the peer, it is not blacklisted. The issue at hand occurred when new peers arrived claiming a head that had wrongfully blacklisted, even if the original peers participating in the chain were not penalized.

Another notable change is that we need to consider a batch invalid if it processed correctly but its next non empty batch fails processing. Now since a batch can fail processing in non empty ways, there is no need to mark as invalid previous batches.

Improves some logging as well.

## Additional Info

We should do this regardless of pausing sync on ee offline/unsynced state. This is because I think it's almost impossible to ensure a processing result will reach in a predictable order with a synced notification from the ee. Doing this handles what I think are inevitable data races when we actually pause sync

This also fixes a return that reports which batch failed and caused us some confusion checking the logs
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Lighthouse: Ethereum consensus client

An open-source Ethereum consensus client, written in Rust and maintained by Sigma Prime.

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Overview

Lighthouse is:

  • Ready for use on Ethereum consensus mainnet.
  • Fully open-source, licensed under Apache 2.0.
  • Security-focused. Fuzzing techniques have been continuously applied and several external security reviews have been performed.
  • Built in Rust, a modern language providing unique safety guarantees and excellent performance (comparable to C++).
  • Funded by various organisations, including Sigma Prime, the Ethereum Foundation, ConsenSys, the Decentralization Foundation and private individuals.
  • Actively involved in the specification and security analysis of the Ethereum proof-of-stake consensus specification.

Staking Deposit Contract

The Lighthouse team acknowledges 0x00000000219ab540356cBB839Cbe05303d7705Fa as the canonical staking deposit contract address.

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The Lighthouse Book contains information for users and developers.

The Lighthouse team maintains a blog at lighthouse-blog.sigmaprime.io which contains periodical progress updates, roadmap insights and interesting findings.

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Lighthouse maintains two permanent branches:

  • stable: Always points to the latest stable release.
    • This is ideal for most users.
  • unstable: Used for development, contains the latest PRs.
    • Developers should base their PRs on this branch.

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If you are looking to contribute, please head to the Contributing section of the Lighthouse book.

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