// @Ignore affects the Android test runner, which respects JUnit 4 annotations on JUnit 3 tests.
@SuppressWarnings("JUnit4ClassUsedInJUnit3")
@IgnoreJRERequirement // We opt into library desugaring for our tests.
public class MapPutIfAbsentTester<K, V> extends AbstractMapTester<K, V> {

  @MapFeature.Require(SUPPORTS_PUT)
  public void testPutIfAbsent_supportedAbsent() {
    assertNull(

// @Ignore affects the Android test runner, which respects JUnit 4 annotations on JUnit 3 tests.
@SuppressWarnings("JUnit4ClassUsedInJUnit3")
@IgnoreJRERequirement // We opt into library desugaring for our tests.
public class MapReplaceEntryTester<K, V> extends AbstractMapTester<K, V> {

  @MapFeature.Require(SUPPORTS_PUT)
  @CollectionSize.Require(absent = ZERO)

              ' bazel option "--config=opt" is specified [Default is %s]: '
             ) % default_cc_opt_flags
  cc_opt_flags = get_from_env_or_user_or_default(environ_cp, 'CC_OPT_FLAGS',
                                                 question, default_cc_opt_flags)
  for opt in cc_opt_flags.split():
    write_to_bazelrc('build:opt --copt=%s' % opt)
    write_to_bazelrc('build:opt --host_copt=%s' % opt)

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
nvidia-cublas-cu12==12.5.3.2 \
    --hash=sha256:4960f3dc5f39699acadf76fa6d94b10a2a00f2956c2c442efa299fb22b0748f3 \

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
nvidia-cublas-cu12==12.5.3.2 \
    --hash=sha256:4960f3dc5f39699acadf76fa6d94b10a2a00f2956c2c442efa299fb22b0748f3 \

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   h5py
    #   jax
    #   keras-nightly
    #   ml-dtypes
    #   opt-einsum
    #   scipy
    #   tb-nightly
nvidia-cublas-cu12==12.5.3.2 \
    --hash=sha256:4960f3dc5f39699acadf76fa6d94b10a2a00f2956c2c442efa299fb22b0748f3 \

# select .zip or .tar.gz
if ! command -v unzip >/dev/null; then
  distributionUrl="${distributionUrl%.zip}.tar.gz"
  distributionUrlName="${distributionUrl##*/}"
fi

# verbose opt
__MVNW_QUIET_WGET=--quiet __MVNW_QUIET_CURL=--silent __MVNW_QUIET_UNZIP=-q __MVNW_QUIET_TAR=''
[ "${MVNW_VERBOSE-}" != true ] || __MVNW_QUIET_WGET='' __MVNW_QUIET_CURL='' __MVNW_QUIET_UNZIP='' __MVNW_QUIET_TAR=v

        env:
          TZ: Asia/Shanghai
          ACCEPT_EULA: Y
          MSSQL_SA_PASSWORD: LoremIpsum86
        ports:
          - 9930:1433
        options: >-
          --health-cmd="/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P ${MSSQL_SA_PASSWORD} -N -C -l 30 -Q \"SELECT 1\" || exit 1"
          --health-start-period 10s
          --health-interval 10s
          --health-timeout 5s

> NOTE: make sure your AD/Windows user has write permissions to *D:\data* prior to using `credentialspec=`.

```powershell
docker run \
  -p 9000:9000 \
  -p 9001:9001 \
  --name minio1 \
  --security-opt "credentialspec=file://myuser.json"
  -e "MINIO_ROOT_USER=AKIAIOSFODNN7EXAMPLE" \
  -e "MINIO_ROOT_PASSWORD=wJalrXUtnFEMIK7MDENGbPxRfiCYEXAMPLEKEY" \
  -v D:\data:/data \

common:mkl --define=build_with_openmp=true
common:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
common:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
common:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0
common:mkl_threadpool --define=build_with_mkl_opensource=true
common:mkl_threadpool -c opt