StringSource source = new StringSource("Hello World!");

        try (InputStream is = source.getInputStream();
                Scanner scanner = new Scanner(is)) {
            assertEquals("Hello World!", scanner.nextLine());
        }
    }

    @Test
    void testGetLocation() {
        StringSource source = new StringSource("Hello World!");
        assertEquals("(memory)", source.getLocation());

)
def test_router_events(state: State) -> None:
    app = FastAPI()

    @app.get("/")
    def main() -> dict[str, str]:
        return {"message": "Hello World"}

    @app.on_event("startup")
    def app_startup() -> None:
        state.app_startup = True

    @app.on_event("shutdown")
    def app_shutdown() -> None:
        state.app_shutdown = True

* L'apprentissage profond (ou **Deep Learning**) : est un sous-domaine du **Machine Learning**, donc les mêmes raisons s'appliquent. Avec la différence qu'il n'y a pas une unique feuille de calcul de nombres à multiplier, mais une énorme quantité d'entre elles, et dans de nombreux cas, on utilise...

          .put("empty", "")
          .put("1 char", "0")
          .put("1 word", "hello")
          .put("2 words", "hello world")
          .put("\\n line break", "hello\nworld")
          .put("\\r line break", "hello\rworld")
          .put("\\r\\n line break", "hello\r\nworld")
          .put("\\n at EOF", "hello\nworld\n")
          .put("\\r at EOF", "hello\nworld\r")
          .put("lorem ipsum", LOREM_IPSUM)
          .buildOrThrow();

  }

  @Test
  fun testPathRead() {
    assertOnPath(content = "Hello") { path ->
      val requestBody = path.asRequestBody(FileSystem.SYSTEM)

      val buffer = Buffer()
      requestBody.writeTo(buffer)
      assertThat(buffer.readUtf8()).isEqualTo("Hello")
    }
  }

  @Test
  fun testSha256() {
    val hash = "Hello".toRequestBody().sha256().hex()

// Então você pode usá-la com outros programas, como
$ echo "Hello $MY_NAME"

Hello Wade Wilson
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
// Criar uma variável de ambiente MY_NAME
$ $Env:MY_NAME = "Wade Wilson"

// Usá-la com outros programas, como
$ echo "Hello $Env:MY_NAME"

Hello Wade Wilson
```

</div>

////

@app.get("/items/")
async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
    return {"message": "Hello Items!", "params": commons}


@app.get("/users/")
async def read_users(commons: Annotated[dict, Depends(common_parameters)]):
    return {"message": "Hello Users!", "params": commons}


client = TestClient(app)


async def override_dependency(q: str | None = None):

    assertThat(decompressed.header("Content-Encoding")).isNull()

    val responseString = decompressed.body.string()
    assertThat(responseString).isEqualTo("hello zstd world")
  }

  @Test
  fun testDecompressGzip() {
    val s = "hello gzip world".encodeUtf8().gzipCompress()

    val response =
      response("https://example.com/", s) {
        header("Content-Encoding", "gzip")
      }

		filterRuleList FilterRuleList
		expectedResult string
	}{
		{FilterRuleList{}, ""},
		{FilterRuleList{[]FilterRule{{"prefix", "Hello/世界"}}}, "Hello/世界*"},
		{FilterRuleList{[]FilterRule{{"suffix", "foo/bar"}}}, "*foo/bar"},
		{FilterRuleList{[]FilterRule{{"prefix", "Hello/世界"}, {"suffix", "foo/bar"}}}, "Hello/世界*foo/bar"},
	}

	for i, testCase := range testCases {
		result := testCase.filterRuleList.Pattern()

    "path",
    [
        "/optional-list-bytes",
        "/optional-list-uploadfile",
    ],
)
def test_optional_list(path: str):
    client = TestClient(app)
    response = client.post(path, files=[("p", b"hello"), ("p", b"world")])
    assert response.status_code == 200
    assert response.json() == {"file_size": [5, 5]}


# =====================================================================================
# Alias