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Bump jvm from 1.6.21 to 1.7.10

Open dependabot[bot] opened this issue 3 years ago • 1 comments

Bumps jvm from 1.6.21 to 1.7.10.

Release notes

Sourced from jvm's releases.

Kotlin 1.7.0

Changelog

Analysis API. FIR

  • KT-50864 Analysis API: ISE: "KtCallElement should always resolve to a KtCallInfo" is thrown on call resolution inside plusAssign target
  • KT-50252 Analysis API: Implement FirModuleResolveStates for libraries
  • KT-50862 Analsysis API: do not create use site subsitution override symbols

Analysis API. FIR Low Level API

  • KT-50729 Type bound is not fully resolved
  • KT-50728 Lazy resolve of extension function from 'kotlin' package breaks over unresolved type
  • KT-50271 Analysis API: get rid of using FirRefWithValidityCheck

Backend. Native. Debug

  • KT-50558 K/N Debugger. Error is not displayed in variables view for catch block

Compiler

New Features

  • KT-26245 Add ability to specify generic type parameters as not-null
  • KT-45165 Remove JVM target version 1.6
  • KT-27435 Allow implementation by delegation to inlined value of inline class
  • KT-47939 Support method references to functional interface constructors
  • KT-50775 Support IR partial linkage in Kotlin/Native (disabled by default)
  • KT-51737 Kotlin/Native: Remove unnecessary safepoints on watchosArm32 and iosArm32 targets
  • KT-44249 NEW_INFERENCE_NO_INFORMATION_FOR_PARAMETER with type usage in higher order function

Performance Improvements

  • KT-48233 Switching to JVM IR backend increases compilation time by more than 15%
  • KT-51699 Kotlin/Native: runtime has no LTO in debug binaries
  • KT-34466 Use optimized switch over enum only when all entries are constant enum entry expressions
  • KT-50861 FIR: Combination of array set convention and plusAssign works exponentially
  • KT-47171 For loop doesn't avoid boxing with value class iterators (JVM)
  • KT-29199 'next' calls for iterators of merged primitive progressive values are not specialized
  • KT-50585 JVM IR: Array constructor loop should use IINC
  • KT-22429 Optimize 'for' loop code generation for reversed arrays
  • KT-50074 Performance regression in String-based 'when' with single equality clause
  • KT-22334 Compiler backend could generate smaller code for loops using range such as integer..array.size -1
  • KT-35272 Unnecessary null check on unsafe cast after not-null assertion operator
  • KT-27427 Optimize nullable check introduced with 'as' cast

Fixes

  • KT-46762 Finalize support for jspecify
  • KT-51499 @file:OptIn doesn't cover override methods

... (truncated)

Changelog

Sourced from jvm's changelog.

1.7.0

Analysis API. FIR

  • KT-50864 Analysis API: ISE: "KtCallElement should always resolve to a KtCallInfo" is thrown on call resolution inside plusAssign target
  • KT-50252 Analysis API: Implement FirModuleResolveStates for libraries
  • KT-50862 Analsysis API: do not create use site subsitution override symbols

Analysis API. FIR Low Level API

  • KT-50729 Type bound is not fully resolved
  • KT-50728 Lazy resolve of extension function from 'kotlin' package breaks over unresolved type
  • KT-50271 Analysis API: get rid of using FirRefWithValidityCheck

Backend. Native. Debug

  • KT-50558 K/N Debugger. Error is not displayed in variables view for catch block

Compiler

New Features

  • KT-26245 Add ability to specify generic type parameters as not-null
  • KT-45165 Remove JVM target version 1.6
  • KT-27435 Allow implementation by delegation to inlined value of inline class
  • KT-47939 Support method references to functional interface constructors
  • KT-50775 Support IR partial linkage in Kotlin/Native (disabled by default)
  • KT-51737 Kotlin/Native: Remove unnecessary safepoints on watchosArm32 and iosArm32 targets
  • KT-44249 NEW_INFERENCE_NO_INFORMATION_FOR_PARAMETER with type usage in higher order function

Performance Improvements

  • KT-48233 Switching to JVM IR backend increases compilation time by more than 15%
  • KT-51699 Kotlin/Native: runtime has no LTO in debug binaries
  • KT-34466 Use optimized switch over enum only when all entries are constant enum entry expressions
  • KT-50861 FIR: Combination of array set convention and plusAssign works exponentially
  • KT-47171 For loop doesn't avoid boxing with value class iterators (JVM)
  • KT-29199 'next' calls for iterators of merged primitive progressive values are not specialized
  • KT-50585 JVM IR: Array constructor loop should use IINC
  • KT-22429 Optimize 'for' loop code generation for reversed arrays
  • KT-50074 Performance regression in String-based 'when' with single equality clause
  • KT-22334 Compiler backend could generate smaller code for loops using range such as integer..array.size -1
  • KT-35272 Unnecessary null check on unsafe cast after not-null assertion operator
  • KT-27427 Optimize nullable check introduced with 'as' cast

Fixes

  • KT-46762 Finalize support for jspecify
  • KT-51499 @​file:OptIn doesn't cover override methods
  • KT-52037 FIR: add error in 1.7.0 branch if run with non-compatible plugins

... (truncated)

Commits

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dependabot[bot] avatar Jul 07 '22 14:07 dependabot[bot]

This PR has 2 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Small
Size       : +1 -1
Percentile : 0.8%

Total files changed: 1

Change summary by file extension:
.kts : +1 -1

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:
    • Optimal size changes are more likely to be reviewed faster with fewer 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.
    • Code inconsistencies are more likely to be detetcted.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • 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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Superseded by #266.

dependabot[bot] avatar Sep 29 '22 14:09 dependabot[bot]