# See .github/workflows/CheckBadMerge.groovy for explanation
name: Check bad merge commit
on:
  pull_request:
    types:
     - opened
     - synchronize

permissions: {}

jobs:
  check_pr_commits:
    permissions:
      contents: read
    runs-on: ubuntu-latest

    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          fetch-depth: 0
      - name: Set up JDK 17

unprofessional or unwelcome in the community.

**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.

### 2. Warning

**Community Impact**: A violation through a single incident or series
of actions.

import java.time.ZoneId
import java.util.jar.JarFile
import java.util.jar.JarOutputStream
import java.util.zip.ZipEntry


private
val ignoredPackagePatterns = PackagePatterns(setOf("java"))


// See explanation in `org.gradle.api.internal.file.archive.ZipEntryConstants#CONSTANT_TIME_FOR_ZIP_ENTRIES`
private
val zipEntryBaseTimestamp = LocalDateTime.of(1980, 2, 1, 0, 0, 0)
    .atZone(ZoneId.systemDefault()).toInstant().toEpochMilli()

    protected String artifactId;
    protected String version;
    protected String type;
    protected ArtifactScopeEnum artifactScope;
    protected String classifier;

    /**
     * explanation: why this MD was chosen over its siblings
     * in the resulting structure (classpath for now)
     */
    protected String why;

    /** dependencies of the artifact behind this metadata */

        // This check, unlike all the others, is a volatile read
        || isCancelled()) {
      return;
    }
    inputFuture = null;

    // For an explanation of the cases here, see the comments on AbstractTransformFuture.run.
    V sourceResult = null;
    Throwable throwable = null;
    try {
      if (localInputFuture instanceof InternalFutureFailureAccess) {

    how we can reproduce your findings. For memory corruption triggerable in
    TensorFlow models, please demonstrate an exploit against one of Alphabet's
    models in <https://tfhub.dev/>
  - An explanation of who can exploit this vulnerability, and what they gain
    when doing so. Write an attack scenario that demonstrates how your issue
    violates the use cases and security assumptions defined in the threat model.

    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info

For a more complete explanation of `**user_dict` check back in [the documentation for **Extra Models**](../extra-models.md#about-user_indict){.internal-link target=_blank}.

///

## Return the token

   *     intersection
   * @since 27.0
   */
  public Range<C> gap(Range<C> otherRange) {
    /*
     * For an explanation of the basic principle behind this check, see
     * https://stackoverflow.com/a/35754308/28465
     *
     * In that explanation's notation, our `overlap` check would be `x1 < y2 && y1 < x2`. We've
     * flipped one part of the check so that we're using "less than" in both cases (rather than a

   *     intersection
   * @since 27.0
   */
  public Range<C> gap(Range<C> otherRange) {
    /*
     * For an explanation of the basic principle behind this check, see
     * https://stackoverflow.com/a/35754308/28465
     *
     * In that explanation's notation, our `overlap` check would be `x1 < y2 && y1 < x2`. We've
     * flipped one part of the check so that we're using "less than" in both cases (rather than a

 * <i>not</i> include cache contents, but only configuration.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caching</a> for a higher-level
 * explanation.
 *
 * @param <K> the most general key type this builder will be able to create caches for. This is
 *     normally {@code Object} unless it is constrained by using a method like {@code