# -*- mode: yaml -*-
manifest:
  version: 1.0

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You

name: 'Auto Assign PR to Author'
on:
  pull_request:
    types: [opened]

permissions:
  contents: read

jobs:
  add-reviews:
    permissions:
      contents: read  # for kentaro-m/auto-assign-action to fetch config file
      pull-requests: write  # for kentaro-m/auto-assign-action to assign PR reviewers
    runs-on: ubuntu-latest
    steps:

## Date

2024-01-12

## Context

Gradle's public API requires equal access from all JVM-based languages.
Kotlin, Groovy, Java, and other JVM-based languages should be able to use the Gradle API without relying on another language's standard library.

Historically, Gradle has shipped with some Groovy types in very prominent APIs.
This required the Kotlin DSL to add special integration to work with Groovy closures.

## Date

2024-01-12

## Context

Gradle's public API requires equal access from all JVM-based languages.
Kotlin, Groovy, Java and other JVM-based languages should be able to use the Gradle API without relying on another language's standard library.

Historically, Gradle has shipped with some Groovy types in very prominent APIs.
This required the Kotlin DSL to add special integration to work with Groovy closures.

        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).

	{
		if err = mounts.checkCrossMounts("/path/to/1"); err == nil {
			t.Fatal("Expected to fail, but found success")
		}

		mp := []mountInfo{
			{"/dev/2", "/path/to/1/2", "type2", []string{"flags"}, "2", "2"},
		}
		msg := fmt.Sprintf("Cross-device mounts detected on path (/path/to/1) at following locations %s. Export path should not have any sub-mounts, refusing to start.", mp)
		if err.Error() != msg {

```

Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.

Then you just do the same in your tests.

E.g.:

* To pass a *path* or *query* parameter, add it to the URL itself.

    /**
     * Adds a repository to use for subsequent resolution requests. The order in which repositories are added matters,
     * repositories that were added first should also be searched first. When multiple repositories with the same
     * identifier are added, only the first repository being added will be used.
     *
     * @param repository The repository to add to the internal search chain, must not be {@code null}.

Traditionally, if an error occurred, the error message and the possible solution were provided to the console via a single String in the corresponding exception.
That meant possible solutions for Problems could be scattered all over the console output.
To improve the user experience, we introduced a new way to provide suggestions.
The idea is to provide a list of suggestions for a problem in the console output.

   * @param offset the offset into the array at which to start writing
   * @param value the value to write
   */
  static void store64(byte[] sink, int offset, long value) {
    // We don't want to assert in production code.
    assert offset >= 0 && offset + 8 <= sink.length;
    // Delegates to the fast (unsafe)version or the fallback.
    byteArray.putLongLittleEndian(sink, offset, value);
  }

  /**