pyproject.toml
      - name: Install docs extras
        run: uv pip install -r requirements-docs.txt
      # Install MkDocs Material Insiders here just to put it in the cache for the rest of the steps
      - name: Install Material for MkDocs Insiders
        if: ( github.event_name != 'pull_request' || github.secret_source == 'Actions' )
        run: uv pip install -r requirements-docs-insiders.txt
        env:

      executionList.add(listener, exec);

      // When a listener is first added, we run a task that will wait for the delegate to finish,
      // and when it is done will run the listeners.
      if (hasListeners.compareAndSet(false, true)) {
        if (delegate.isDone()) {
          // If the delegate is already done, run the execution list immediately on the current
          // thread.
          executionList.execute();

## Quick Start

A `requirements.txt` with some packages could look like:

```requirements.txt
fastapi[standard]==0.113.0
pydantic==2.8.0
```

///

## Run Your Program { #run-your-program }

After you activated the virtual environment, you can run your program, and it will use the Python inside of your virtual environment with the packages you installed there.

<div class="termy">

```console
$ python main.py

### Using your local FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

    thread2.join();
    assertEquals(1, runCalled.get());
  }

  public void testAddAfterRun() throws Exception {
    // Run the previous test
    testRunOnPopulatedList();

    // If it passed, then verify an Add will be executed without calling run
    CountDownLatch countDownLatch = new CountDownLatch(1);
    list.add(new MockRunnable(countDownLatch), newCachedThreadPool());

```console
$ python myapp.py
```

</div>

тоді внутрішня змінна `__name__`, яка створюється автоматично Python, матиме значення `"__main__"`.

Отже, цей блок коду:

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

буде виконаний.

---

Це не станеться, якщо Ви імпортуєте цей модуль (файл).

Якщо у Вас є інший файл, наприклад `importer.py`, з наступним кодом:

```Python

      .certificatePinner(
        CertificatePinner
          .Builder()
          .add("publicobject.com", "sha256/Vjs8r4z+80wjNcr1YKepWQboSIRi63WsWXhIMN+eWys=")
          .build(),
      ).build()

  fun run() {
    val request =
      Request
        .Builder()
        .url("https://publicobject.com/robots.txt")
        .build()

    client.newCall(request).execute().use { response ->

          public Runnable apply(Runnable runnable) {
            return new Runnable() {
              @Override
              public void run() {
                runnable.run();
                runnable.run();
              }
            };
          }
        },
        "run()",
        "invoked more than once");
  }

  public void testFailsToForwardParameters() {
    assertFailure(
        Adder.class,

sleep 1

echo "Verifying the metadata difference between source and target"
if diff -pruN <(./mc stat --no-list --json sitea/bucket/hosts | jq .) <(./mc stat --no-list --json siteb/bucket/hosts | jq .) | grep -q 'COMPLETED\|REPLICA'; then
	echo "verified sitea-> COMPLETED, siteb-> REPLICA"
fi