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Introduce Vote and VoteSet #1968

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merged 4 commits into from
May 18, 2022

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@riemannulus riemannulus commented May 18, 2022

Context

For migration PoS, We need some struct for recording who participated in the block validation.

Decision

classDiagram
    Block~T~ o-- Commit
    Commit *-- Vote
    VoteSet *-- Vote
    class Block~T~ {
        +Commit LastCommit
    }

    class Commit {
        +Vote[] Votes
    }
    
    class Vote {
        + long Height
        + int Round
        + PublicKey Validator
        + TimeStmap timeStamp 
    }

    class VoteSet {
        -Vote[] _prevote
        -Vote[] _commit
    }
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Minor grammar issues.

Libplanet/Consensus/Vote.cs Outdated Show resolved Hide resolved
Libplanet/Consensus/Vote.cs Outdated Show resolved Hide resolved
Libplanet/Consensus/Vote.cs Outdated Show resolved Hide resolved
Libplanet/Consensus/VoteFlag.cs Show resolved Hide resolved
Libplanet/Consensus/VoteSet.cs Show resolved Hide resolved
@riemannulus
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e0f74fd Amended. PTAL @limebell

@riemannulus riemannulus requested a review from limebell May 18, 2022 08:29
@pull-request-quantifier-deprecated

This PR has 285 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Large
Size       : +285 -0
Percentile : 68.5%

Total files changed: 5

Change summary by file extension:
.cs : +285 -0

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
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      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
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  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
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    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


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@riemannulus riemannulus merged commit 083c439 into planetarium:pbft May 18, 2022
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3 participants