Then I contributed to it, to make it fully compliant with JSON Schema, to support different ways to define constraint declarations, and to improve editor support (type checks, autocompletion) based on the tests in several editors.

This directory contains JLine native libraries extracted from JLine JAR.

You can add your own build for platforms not natively supported by JLine.
See here [1] on how to compile for your platform and here [2] how libraries
follow JLine's directory and filename conventions.

[1] https://github.com/jline/jline3/tree/master/native

/**
 * An SSLSocketFactory that delegates calls. Sockets created by the delegate are wrapped with ones
 * that will not accept the [TLS_FALLBACK_SCSV] cipher, thus bypassing server-side fallback
 * checks on platforms that support it. Unfortunately this wrapping will disable any
 * reflection-based calls to SSLSocket from Platform.
 */
class FallbackTestClientSocketFactory(
  delegate: SSLSocketFactory,
) : DelegatingSSLSocketFactory(delegate) {

    assertEquals(
        "multiset.count(wrongType) didn't return 0", 0, getMultiset().count(WrongType.VALUE));
  }

  /**
   * Returns {@link Method} instances for the read tests that assume multisets support duplicates so
   * that the test of {@code Multisets.forSet()} can suppress them.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static List<Method> getCountDuplicateInitializingMethods() {

}

// Validates input location is same as configured region
// of MinIO server.
func isValidLocation(location string) bool {
	region := globalSite.Region()
	return region == "" || region == location
}

// Supported headers that needs to be extracted.
var supportedHeaders = []string{
	"content-type",
	"cache-control",
	"content-language",
	"content-encoding",
	"content-disposition",
	"x-amz-storage-class",

    }

    /**
     * Gets the array of supported authentication mechanisms
     * @return the mechanisms array
     */
    public ASN1ObjectIdentifier[] getMechanisms() {
        return this.mechanisms;
    }

    /**
     * Sets the array of supported authentication mechanisms
     * @param mechanisms the mechanisms to set
     */

 * These logging facilities are used during Maven startup before the full logging
 * system is initialized.
 *
 * <p>This package includes:</p>
 * <ul>
 *   <li>Basic logging interfaces and implementations</li>
 *   <li>Support for different logging levels (DEBUG, INFO, WARN, ERROR)</li>
 *   <li>Accumulating loggers for deferred output</li>
 * </ul>
 *
 * @since 4.0.0
 */

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1

keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1
# More info at https://protobuf.dev/support/cross-version-runtime-guarantee/
protobuf >= 5.28.0, < 7.0
# Test dependencies
grpcio >= 1.68.1, < 2.0
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

    @DisplayName("unwrap method should return correct type when supported")
    void testUnwrapMethodContract() throws Exception {
        // Given
        when(mockAddress.unwrap(Address.class)).thenReturn(mockAddress);

        // When & Then
        Address unwrapped = mockAddress.unwrap(Address.class);
        assertSame(mockAddress, unwrapped, "Should return same instance for supported type");
    }

    @Test