// any actions that are runnable as a result.
	handle := func(ctx context.Context, a *Action) {
		if a.json != nil {
			a.json.TimeStart = time.Now()
		}
		var err error
		if a.Actor != nil && (!a.Failed || a.IgnoreFail) {
			// TODO(matloob): Better action descriptions
			desc := "Executing action (" + a.Mode
			if a.Package != nil {
				desc += " " + a.Package.Desc()
			}
			desc += ")"

				// the watch was established otherwise
				// we would be blocking on cache.Watch(...)
				// in addition to that, the tests are serial in nature,
				// meaning that there is no other actor
				// that could add items to the database,
				// which could result in receiving new items.
				// given that waiting 1s seems okay
				if tt.expectedEvent != nil {
					t.Errorf("Failed to get an event")
				}

Class <org.gradle.internal.actor.Actor> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Actor.java:0)
Class <org.gradle.internal.actor.ActorFactory> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (ActorFactory.java:0)

    }
  }

  /**
   * Verifies that {@code ctor} produces a {@link NullPointerException} or {@link
   * UnsupportedOperationException} whenever <i>any</i> of its non-nullable parameters are null.
   */
  public void testConstructor(Constructor<?> ctor) {
    Class<?> declaringClass = ctor.getDeclaringClass();
    checkArgument(
        Modifier.isStatic(declaringClass.getModifiers())

    }
  }

  /**
   * Verifies that {@code ctor} produces a {@link NullPointerException} or {@link
   * UnsupportedOperationException} whenever <i>any</i> of its non-nullable parameters are null.
   */
  public void testConstructor(Constructor<?> ctor) {
    Class<?> declaringClass = ctor.getDeclaringClass();
    checkArgument(
        Modifier.isStatic(declaringClass.getModifiers())

numpy ~= 1.23.5 ; python_version <= "3.11"
numpy ~= 1.26.0 ; python_version >= "3.12"
wheel ~= 0.41.2
h5py >= 3.10.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0

# Install tensorboard, and keras

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \