});
        emlExtractor = container.getComponent("emlExtractor");
    }

    public void test_getText() throws IOException {
        try (final InputStream in = ResourceUtil.getResourceAsStream("extractor/eml/sample1.eml")) {
            ExtractData data = emlExtractor.getText(in, null);
            final String content = data.getContent();
            logger.info(content);
            assertTrue(content.contains("プレイステーション"));

- google.golang.org/genproto/googleapis/bytestream: e85fd2c
- google.golang.org/grpc/cmd/protoc-gen-go-grpc: v1.1.0
- gopkg.in/gcfg.v1: v1.2.3
- gopkg.in/warnings.v0: v0.1.2
- rsc.io/quote/v3: v3.1.0
- rsc.io/sampler: v1.3.0



# v1.31.0-rc.1


## Downloads for v1.31.0-rc.1



### Source Code

filename | sha512 hash
-------- | -----------

The following arguments are supported:

* `minimum_size` - Do not GZip responses that are smaller than this minimum size in bytes. Defaults to `500`.
* `compresslevel` - Used during GZip compression. It is an integer ranging from 1 to 9. Defaults to `9`. Lower value results in faster compression but larger file sizes, while higher value results in slower compression but smaller file sizes.

## Other middlewares { #other-middlewares }

# Simple OAuth2 with Password and Bearer { #simple-oauth2-with-password-and-bearer }

Now let's build from the previous chapter and add the missing parts to have a complete security flow.

## Get the `username` and `password` { #get-the-username-and-password }

We are going to use **FastAPI** security utilities to get the `username` and `password`.

    public SampleElements<Multiset.Entry<E>> samples() {
      SampleElements<E> samples = gen.samples();
      return new SampleElements<>(
          Multisets.immutableEntry(samples.e0(), 3),
          Multisets.immutableEntry(samples.e1(), 4),
          Multisets.immutableEntry(samples.e2(), 1),
          Multisets.immutableEntry(samples.e3(), 5),
          Multisets.immutableEntry(samples.e4(), 2));
    }

    @Override

   */
  @BeforeExperiment
  void setUp() {
    long seed = 99;
    Random rnd = new Random(seed);
    strings = new String[SAMPLES];
    for (int i = 0; i < SAMPLES; i++) {
      StringBuilder sb = new StringBuilder();
      for (int j = 0; j < charCount; j++) {
        int codePoint;
        // discard illegal surrogate "codepoints"
        do {
          codePoint = rnd.nextInt(maxCodePoint.value);

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

		parities []int
		parity   int
	}{
		// More than simple majority consensus
		mkTest(15, 3, 11),
		// No simple majority consensus
		mkTest(15, 3, 7),
		// Exact simple majority consensus
		mkTest(15, 3, 8),
		// More than simple majority consensus
		mkTest(16, 4, 11),
		// No simple majority consensus
		mkTest(16, 4, 8),
		// Exact simple majority consensus
		mkTest(16, 4, 9),

    private ReserializedSetGenerator(OneSizeTestContainerGenerator<Collection<E>, E> gen) {
      this.gen = gen;
    }

    @Override
    public SampleElements<E> samples() {
      return gen.samples();
    }

    @Override
    public Set<E> create(Object... elements) {
      return (Set<E>) SerializableTester.reserialize(gen.create(elements));
    }

    @Override

    }

    @Override
    public TestSubjectGenerator<?> getInnerGenerator() {
      return multimapGenerator;
    }

    @Override
    public SampleElements<Entry<K, V>> samples() {
      return multimapGenerator.samples();
    }

    @Override
    public Collection<Entry<K, V>> create(Object... elements) {
      return multimapGenerator.create(elements).entries();
    }