"pydantic-extra-types >=2.0.0",
]

[tool.mypy]
strict = true

[[tool.mypy.overrides]]
module = "fastapi.concurrency"
warn_unused_ignores = false
ignore_missing_imports = true

[[tool.mypy.overrides]]
module = "fastapi.tests.*"
ignore_missing_imports = true
check_untyped_defs = true

[[tool.mypy.overrides]]
module = "docs_src.*"
disallow_incomplete_defs = false

            String mvnName = jenkinsEnv.mvnFromVersion(buildOs, buildMvn)
            try {
                withEnv(["JAVA_HOME=${ tool "$jdkName" }",
                         "PATH+MAVEN=${ tool "$jdkName" }/bin:${tool "$mvnName"}/bin",
                         "MAVEN_OPTS=-Xms2g -Xmx4g -Djava.awt.headless=true"]) {                   

        if (Files.isDirectory(bin)) {
            if (Os.IS_WINDOWS) {
                Path tool = bin.resolve(toolName + ".exe");
                if (Files.exists(tool)) {
                    return tool;
                }
            }
            Path tool = bin.resolve(toolName);
            if (Files.exists(tool)) {
                return tool;
            }
        }
        return null;
    }

     *
     * @return the toolchain type
     */
    String getType();

    /**
     * Gets the platform tool executable.
     *
     * @param toolName the tool platform independent tool name.
     * @return file representing the tool executable, or null if the tool can not be found
     */
    String findTool(String toolName);

Wenn Sie sich die Benchmarks ansehen, werden häufig mehrere Tools mit unterschiedlichen Eigenschaften als gleichwertig verglichen.

Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools).

Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet.

Die Hierarchie ist wie folgt:

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server

        crossinline getDeclarationsByProvider: (LLFirResolveExtensionToolDeclarationProvider) -> Sequence<D>,
    ): Sequence<S> = sequence {
        for (tool in tools) {
            for (declaration in getDeclarationsByProvider(tool.declarationProvider)) {
                val declarationName = declaration.nameAsName ?: continue
                if (!nameFilter(declarationName)) continue
                with(analysisSession) {

                    toRet.add(fact.createToolchain(tm));
                }
            }

            // add default toolchain
            ToolchainPrivate tool = fact.createDefaultToolchain();
            if (tool != null) {
                toRet.add(tool);
            }
        }

        return toRet.toArray(new ToolchainPrivate[0]);
    }

    @Override

1. Run the tool with:

```
go run docs/auditlog/auditlog-echo.go
```

The listen port has a default value (8080), but can be set with the `-port` flag.

2. Configure audit logging in MinIO with for example:

```
mc admin config set myminio audit_webhook enable=on endpoint=http://localhost:8080
```

     * The returned list may contain a mix of Java class-path, Java module-path, and other types of path elements.
     *
     * @return the paths of all dependencies
     */
    @Nonnull
    List<Path> getPaths();

    /**
     * Returns the file paths of all dependencies, dispatched according the tool options where to place them.