public final fun redactHeader (Ljava/lang/String;)V
	public final fun redactQueryParams ([Ljava/lang/String;)V
	public final fun setLevel (Lokhttp3/logging/HttpLoggingInterceptor$Level;)Lokhttp3/logging/HttpLoggingInterceptor;
}

public final class okhttp3/logging/HttpLoggingInterceptor$Companion {
}

public final class okhttp3/logging/HttpLoggingInterceptor$Level : java/lang/Enum {

	public fun <init> ()V
	public final fun add100Continue ()Lmockwebserver3/MockResponse$Builder;
	public final fun addHeader (Ljava/lang/String;)Lmockwebserver3/MockResponse$Builder;
	public final fun addHeader (Ljava/lang/String;Ljava/lang/Object;)Lmockwebserver3/MockResponse$Builder;
	public final fun addHeaderLenient (Ljava/lang/String;Ljava/lang/Object;)Lmockwebserver3/MockResponse$Builder;

    langs = [file.stem for file in material_langs_path.glob("*.html")]
    return langs


class EnFile(File):
    pass


def on_config(config: MkDocsConfig, **kwargs: Any) -> MkDocsConfig:
    available_langs = get_mkdocs_material_langs()
    dir_path = Path(config.docs_dir)
    lang = dir_path.parent.name
    if lang in available_langs:
        config.theme["language"] = lang

        for (final String lang : settings.analyzer().SUPPORTED_LANGUAGES) {
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsAnalyzerName("", lang)));
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsReadingAnalyzerName("", lang)));
            assertTrue(analyzerNames.contains(settings.analyzer().getReadingAnalyzerName("", lang)));

     *
     * @param text the text to analyze
     * @param field the field associated with the text
     * @param lang the language of the text
     * @return a list of analyzed tokens
     */
    List<AnalyzeToken> analyze(String text, String field, String lang);

    /**
     * Analyzes the given text and returns a list of tokens along with their readings.
     *
     * @param text the text to analyze

def get_llm_translatable() -> list[str]:
    translatable_langs = []
    langs = get_langs()
    for lang in langs:
        if lang == "en":
            continue
        lang_prompt_path = Path(f"docs/{lang}/llm-prompt.md")
        if lang_prompt_path.exists():
            translatable_langs.append(lang)
    return translatable_langs


@app.command()
def list_llm_translatable() -> list[str]:

    indirect=True,
)
def test_gt(runner: CliRunner, root_dir: Path, copy_test_files):
    result = runner.invoke(
        cli,
        ["fix-pages", "docs/lang/docs/doc.md"],
    )
    assert result.exit_code == 1, result.output

    fixed_content = (root_dir / "docs" / "lang" / "docs" / "doc.md").read_text("utf-8")
    expected_content = Path(f"{data_path}/translated_doc_number_gt.md").read_text(
        "utf-8"
    )

)
def test_translated(runner: CliRunner, root_dir: Path, copy_test_files):
    result = runner.invoke(
        cli,
        ["fix-pages", "docs/lang/docs/doc.md"],
    )
    assert result.exit_code == 0, result.output

    fixed_content = (root_dir / "docs" / "lang" / "docs" / "doc.md").read_text("utf-8")
    expected_content = Path(
        f"{data_path}/translated_doc_mermaid_translated.md"
    ).read_text("utf-8")

			<param name="module.zip.version" value="${opensearch.version}" />
		</antcall>
		<!-- lang-expression -->
		<antcall target="install.module">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="module.groupId" value="org/codelibs/opensearch/module" />
			<param name="module.name.prefix" value="" />
			<param name="module.name" value="lang-expression" />
			<param name="module.version" value="${opensearch.version}" />

        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));
            }
            normalizer = chain;