A. Unique TensorFlower <******@****.***> 1755488441 -0700

Jieying Luo <******@****.***> 1673993853 -0800

A. Unique TensorFlower <******@****.***> 1728749607 -0700

    visibility = ["//tensorflow:__subpackages__"],
)

filegroup(
    name = "srcs",
    srcs = glob(
        [
            "*.cc",
            "*.h",
        ],
        exclude = [
            "c_api_experimental.cc",
            "c_api_experimental.h",
            "python_api.cc",
            "python_api.h",
            "*test*",
        ],
    ) + [
        "//tensorflow/cc:srcs_no_runtime",

**Linux CPU**                 | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.html)           | [PyPI](https://pypi.org/project/tf-nightly/)

        doAddTo(to);
    }

    public void addTo(String to, String personal) {
        doAddTo(to, personal);
    }

    public void addCc(String cc) {
        doAddCc(cc);
    }

    public void addCc(String cc, String personal) {
        doAddCc(cc, personal);
    }

    public void addBcc(String bcc) {
        doAddBcc(bcc);
    }

    public void addBcc(String bcc, String personal) {

                cci = Math.max(cci, createContextStart + nameOffset + nameLength);

                final CreateContextResponse cc = createContext(nameBytes);
                if (cc != null) {
                    cc.decode(buffer, createContextStart + dataOffset, dataLength);
                    contexts.add(cc);
                }

                cci = Math.max(cci, createContextStart + dataOffset + dataLength);

    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of
    # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes,
    # but this also hurts the performance. Let users decide what they want.
    write_to_bazelrc('build --define=override_eigen_strong_inline=true')


def config_info_line(name, help_text):

    public interface OperatorCall<CQ extends EsAbstractConditionQuery> {

        void callback(CQ query);
    }

    @FunctionalInterface
    public interface ScoreFunctionCall<CC extends ScoreFunctionCreator<?>> {

        void callback(CC creator);
    }

    @FunctionalInterface
    public interface ScoreFunctionCreator<T extends EsAbstractConditionQuery> {

```bash
apt-get install -y clang-tidy
```

You can check a C/C++ file by doing:


```bash
clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc
diff <my_cc_file> /tmp/my_cc_file.cc
```

#### Python coding style

Changes to TensorFlow Python code should conform to
[Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)