{
        "lang_ar": {
          "match": "*_ar",
          "mapping": {
            "type": "text",
            "analyzer": "arabic_analyzer"
          }
        }
      },
      {
        "lang_bg": {
          "match": "*_bg",
          "mapping": {
            "type": "text",
            "analyzer": "bulgarian_analyzer"
          }
        }
      },
      {
        "lang_bn": {

      {
        "lang_ar": {
          "match": "*_ar",
          "mapping": {
            "type": "text",
            "analyzer": "arabic_analyzer"
          }
        }
      },
      {
        "lang_bg": {
          "match": "*_bg",
          "mapping": {
            "type": "text",
            "analyzer": "bulgarian_analyzer"
          }
        }
      },
      {
        "lang_bn": {

      {
        "lang_ar": {
          "match": "*_ar",
          "mapping": {
            "type": "text",
            "analyzer": "arabic_analyzer"
          }
        }
      },
      {
        "lang_bg": {
          "match": "*_bg",
          "mapping": {
            "type": "text",
            "analyzer": "bulgarian_analyzer"
          }
        }
      },
      {
        "lang_bn": {

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

      - name: Export Language Codes
        id: show-langs
        run: |
          echo "langs=$(uv run ./scripts/docs.py langs-json)" >> $GITHUB_OUTPUT

  build-docs:
    needs:
      - changes
      - langs
    if: ${{ needs.changes.outputs.docs == 'true' }}
    runs-on: ubuntu-latest
    strategy:
      matrix:
        lang: ${{ fromJson(needs.langs.outputs.langs) }}
    steps:
      - name: Dump GitHub context

        NormalizerChain chain = new NormalizerChain();
        Normalizer normalizer1 = (text, field, langs) -> text + "-1";
        Normalizer normalizer2 = (text, field, langs) -> text + "-2";
        Normalizer normalizer3 = (text, field, langs) -> text + "-3";

        chain.add(normalizer1);
        chain.add(normalizer2);
        chain.add(normalizer3);

        final ReadingConverter converter;
        if (langs == null || langs.length == 0) {
            converter = new LangAnalyzerConverter(null);
        } else {
            final ReadingConverterChain chain = new ReadingConverterChain();
            for (final String lang : langs) {
                chain.addConverter(new LangAnalyzerConverter(lang));

    public String normalize(final String text, final String field, final String... langs) {
        final Normalizer normalizer;
        if (langs == null || langs.length == 0) {
            normalizer = new LangAnalyzerNormalizer(null);
        } else {
            final NormalizerChain chain = new NormalizerChain();
            for (final String lang : langs) {
                chain.add(new LangAnalyzerNormalizer(lang));
            }

	}
	AssertAssociationCount(t, user, "Languages", 1, "after replace with 1 map")

	var langs []Language
	if err := DB.Model(&user).Association("Languages").Find(&langs); err != nil {
		t.Fatalf("find languages after replace: %v", err)
	}
	if len(langs) != 1 || langs[0].Code != "rm2m_map_1" {
		t.Fatalf("expected only rm2m_map_1 after replace, got %+v", langs)
	}

    en_path: Annotated[Path, typer.Option(envvar="EN_PATH")],
) -> None:
    assert language != "en", (
        "`en` is the source language, choose another language as translation target"
    )
    langs = get_langs()
    language_name = langs[language]
    lang_path = Path(f"docs/{language}")
    lang_path.mkdir(exist_ok=True)
    lang_prompt_path = lang_path / "llm-prompt.md"