portpicker == 1.6.0
# Scipy 15.x and above have misc.derivative removed, but we still use it
scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2

* allow restricting subresource access ([#29988](https://github.com/kubernetes/kubernetes/pull/29988), [@deads2k](https://github.com/deads2k))
* Add density (batch pods creation latency and resource) and resource performance tests to `test-e2e-node' ([#29764](https://github.com/kubernetes/kubernetes/pull/29764), [@coufon](https://github.com/coufon))

            }
            return null;
        }).filter(s -> s != null).toArray(n -> new String[n]);
    }

    /**
     * Gets the major version number of the current Java runtime.
     * For Java 8 and below, returns the minor version (e.g., 8 for Java 1.8).
     * For Java 9 and above, returns the major version (e.g., 11 for Java 11).
     *
     * @return the Java version number, defaults to 8 if version cannot be determined
     */

import org.apache.maven.api.annotations.Nonnull;

/**
 * An SPI interface to extend Maven with new enum values for extensible enumerations.
 * <p>
 * Maven uses extensible enumerations to allow plugins and extensions to add new values
 * to various categories like languages, scopes, and packaging types. This interface is the
 * base for all providers that register such extensions.
 * <p>

        if (os == Os.LINUX) {
            steps {
                script {
                    // Because we exclude tests in `distributions-integ-tests` below, `@Flaky` won't work in that subproject.
                    // Here we check the existence of `@Flaky` annotation to make sure nobody use that annotation in `distributions-integ-tests` subproject.

        String text = "Hello, world! How are you? I'm fine.";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertEquals(8, tokens.size()); // "I'm" is split into "I" and "m" by our simple tokenizer
        assertEquals("Hello", tokens.get(0).getTerm());

    }

    // Additional test for coverage
    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    }

    // Additional test for coverage
    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    }

    // Additional test for coverage
    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }

    }

    // Additional test for coverage
    public void test_additionalCoverage() {
        int a = 5;
        int b = 10;
        int sum = a + b;
        assertEquals(15, sum);

        String str = "Hello";
        assertTrue(str.startsWith("H"));
        assertTrue(str.endsWith("o"));
        assertEquals(5, str.length());
    }