# TF 2.12 + Clang (containers are the same, but env vars in configs.bzl are different)
        map sigbuild-r2.12-clang 2.12-python3.9
        map sigbuild-r2.12-clang-python3.8 2.12-python3.8
        map sigbuild-r2.12-clang-python3.9 2.12-python3.9
        map sigbuild-r2.12-clang-python3.10 2.12-python3.10
        map sigbuild-r2.12-clang-python3.11 2.12-python3.11
        # TF 2.13

# likely to change daily.
ARG CACHEBUSTER=0
RUN echo $CACHEBUSTER

# Setup build and environment
COPY devel.bashrc /root/.bashrc
COPY ld.so.conf /dt10/etc/

# Make sure clang is on the path
RUN ln -s /usr/lib/llvm-18/bin/clang /usr/bin/clang

# Setup JAX Python environment.
COPY requirements.txt /requirements.txt
COPY setup.python.sh /setup.python.sh
RUN /setup.python.sh python3.9 requirements.txt

build:win_clang_base --linkopt=/demangle:no --host_linkopt=/demangle:no
build:win_clang_base --linkopt=/errorlimit:0 --host_linkopt=/errorlimit:0
build:win_clang_base --copt=/clang:-Weverything
build:win_clang_base --host_copt=/clang:-Weverything
build:win_clang_base --compiler=clang-cl
build:win_clang_base --linkopt=/FORCE:MULTIPLE
build:win_clang_base --host_linkopt=/FORCE:MULTIPLE

# TF does not support python3.13.
RUN ln -sf /usr/bin/python3.12 /usr/bin/python3
RUN ln -sf /usr/bin/python3.12 /usr/bin/python
RUN ln -sf /usr/lib/python3.12 /usr/lib/tf_python

# Make sure clang is on the path
RUN ln -s /usr/lib/llvm-18/bin/clang /usr/bin/clang

# Link the compat driver to the location if available.
RUN if [ -e "/usr/local/cuda/compat/libcuda.so.1" ]; then ln -s /usr/local/cuda/compat/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so.1; fi

    wget https://www.python.org/ftp/python/3.14.0/Python-3.14.0rc1.tar.xz
    tar -xf Python-3.14.0rc1.tar.xz
  fi
  pushd Python-3.14.0rc1
  mkdir -p /python314-0rc1
  CC=clang-18 CXX=clang++-18 ./configure --prefix /python314-0rc1 --with-ensurepip=install
  make -j$(nproc)
  make install -j$(nproc)
  ln -s /python314-0rc1/bin/python3 /usr/bin/python3.14
  popd

        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_compiler_clang",
        "@local_config_cuda//cuda:TRUE",

# Release 2.16.1

## TensorFlow

*   TensorFlow Windows Build:

    *   Clang is now the default compiler to build TensorFlow CPU wheels on the
        Windows Platform starting with this release. The currently supported
        version is LLVM/clang 17. The official Wheels-published on PyPI will be
        based on Clang; however, users retain the option to build wheels using

        assertTrue("Constructor should be protected", java.lang.reflect.Modifier.isProtected(constructors[0].getModifiers()));

        // 2. All public methods should be static
        java.lang.reflect.Method[] methods = ThreadDumpUtil.class.getDeclaredMethods();
        for (java.lang.reflect.Method method : methods) {
            if (java.lang.reflect.Modifier.isPublic(method.getModifiers()) && !method.isSynthetic()) {

          <item index="5" class="java.lang.String" itemvalue="io.reactivex.annotations.Nullable" />
          <item index="6" class="java.lang.String" itemvalue="io.reactivex.rxjava3.annotations.Nullable" />
          <item index="7" class="java.lang.String" itemvalue="jakarta.annotation.Nullable" />
          <item index="8" class="java.lang.String" itemvalue="javax.annotation.CheckForNull" />

        docMap.put("lang", "ja");
        docMap.put("banana", "value3");

        Set<Map.Entry<String, Object>> entrySet = docMap.entrySet();
        assertEquals(4, entrySet.size());

        String[] keys = entrySet.stream().map(Map.Entry::getKey).toArray(String[]::new);

        boolean langFirst = "lang".equals(keys[0]);