).joinToString(" "),
        )

        features {
            publishBuildStatusToGithub(model)
        }

        setArtifactRules(
            """$artifactRules
packaging/distributions-full/build/distributions/*.zip => distributions
platforms/core-runtime/base-services/build/generated-resources/build-receipt/org/gradle/build-receipt.properties
""",
        )

    }

    /**
     * Test that buffer cache handles allocation when cache is full.
     */
    @Test
    public void testBufferAllocationWhenCacheFull() {
        // Given - Allocate many buffers to potentially fill the cache
        List<byte[]> buffers = new ArrayList<>();

        // Allocate more buffers than cache can hold

You can then use it as a Gradle Wrapper local distribution in a Gradle based project by using a `file:/` URL pointing to the built distribution:

    ./gradlew wrapper --gradle-distribution-url=file:/path/to/gradle-<version>-bin.zip

To create a full distribution (includes sources and docs):

Die Verwendung führte zur Entwicklung mehrerer Flask-Full-Stack-Generatoren. Dies sind die Hauptstacks, die ich (und mehrere externe Teams) bisher verwendet haben:

* <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>
* <a href="https://github.com/tiangolo/full-stack-flask-couchbase" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-flask-couchbase</a>

            // Test full access combination
            int fullAccess = ACE.GENERIC_ALL | ACE.DELETE | ACE.READ_CONTROL | ACE.WRITE_DAC | ACE.WRITE_OWNER;
            assertTrue((fullAccess & ACE.GENERIC_ALL) != 0, "Full access should contain GENERIC_ALL");
            assertTrue((fullAccess & ACE.DELETE) != 0, "Full access should contain DELETE");

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

Usarlo llevó a la creación de varios generadores de full-stack para Flask. Estos son los principales stacks que yo (y varios equipos externos) hemos estado usando hasta ahora:

* <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>

Usá-la levou à criação de vários geradores Flask full-stack. Estas são as principais stacks que eu (e várias equipes externas) tenho utilizado até agora:

* <a href="https://github.com/tiangolo/full-stack" class="external-link" target="_blank">https://github.com/tiangolo/full-stack</a>
* <a href="https://github.com/tiangolo/full-stack-flask-couchbase" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-flask-couchbase</a>

    public FullWidthToHalfWidthAlphabetNormalizer() {
        // nothing
    }

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        if (text == null) {
            return null;
        }
        final char[] chars = new char[text.length()];
        for (int i = 0; i < chars.length; i++) {
            final char c = text.charAt(i);
            if (c >= 'ａ' && c <= 'ｚ') {

```
{
  "Version": "2012-10-17",
  "Statement": [
	{
	  "Action": ["s3:ListBucket"],
	  "Effect": "Allow",