When using Poetry, it would make sense to use **Docker multi-stage builds** because you don't really need to have Poetry and its dependencies installed in the final container image, you **only need** to have the generated `requirements.txt` file to install your project dependencies.

              condition.signalAll()
            }
          }
        }
      }

      // Update the connection flow control, as this is a shared resource.
      // Even if our stream doesn't need more data, others might.
      // But delay updating the stream flow control until that stream has been
      // consumed
      updateConnectionFlowControl(byteCount)

      // Notify that buffer size changed

FastAPI uses a standard for building Python web frameworks and servers called <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>. FastAPI is an ASGI web framework.

The main thing you need to run a **FastAPI** application (or any other ASGI application) in a remote server machine is an ASGI server program like **Uvicorn**, this is the one that comes by default in the `fastapi` command.

is widely used on most Java projects within Google, and widely used by many
other companies as well.



Guava comes in two flavors:

*   The JRE flavor requires JDK 1.8 or higher.
*   If you need support for Android, use
    [the Android flavor](https://github.com/google/guava/wiki/Android). You can
    find the Android Guava source in the [`android` directory].

  - Built-in IDP users and their respective service accounts
  - LDAP/AD users and their respective service accounts
  - OpenID/OIDC service accounts

- On versioned buckets, FTP/SFTP only operates on latest objects, if you need to retrieve
  an older version you must use an `S3 API client` such as [`mc`](https://github.com/minio/mc).

- All features currently used by your buckets will work as is without any changes
  - SSE (Server Side Encryption)

 */
fun <T : AbstractBuildScanInfoCollectingService> Project.registerBuildScanInfoCollectingService(
    /* the implementation class to collect information from task execution result */
    klass: Class<T>,
    /* which tasks we need to monitor? For example, cache-miss-monitor monitors `AbstractCompile` tasks */
    taskFilter: (Task) -> Boolean,
    /* pass the collected information in build-logic and main build to build scan */

# Behind a Proxy

In some situations, you might need to use a **proxy** server like Traefik or Nginx with a configuration that adds an extra path prefix that is not seen by your application.

In these cases you can use `root_path` to configure your application.

The `root_path` is a mechanism provided by the ASGI specification (that FastAPI is built on, through Starlette).

The `root_path` is used to handle these specific cases.

      allocationLimit = settings.getMaxConcurrentStreams()

      if (allocationLimit < oldLimit) {
        // We might need new connections to keep policies satisfied
        connectionPool.scheduleOpener(route.address)
      } else if (allocationLimit > oldLimit) {
        // We might no longer need some connections
        connectionPool.scheduleCloser()
      }
    }
  }

        ResolveResult(symbol = this, receiverClassReference)

    /**
     * Resolves the [selectedFqName] of KDoc
     *
     * To properly resolve qualifier parts in the middle,
     * we need to resolve the whole qualifier to understand which parts of the qualifier are package or class qualifiers.
     * And then we will be able to resolve the qualifier selected by the user to the proper class, package or callable.
     *

     */
    private val FirResolvedTypeRef.correspondingTypePsi: KtUserType?
        get() {
            val sourcePsi = when {
                // array type for vararg parameters is not present in the code, so no need to handle it
                delegatedTypeRef?.source?.kind == KtFakeSourceElementKind.ArrayTypeFromVarargParameter -> null

                // but the array's underlying type is present with a fake source, and needs to be handled