Response curResp = response;
        Request curReq = request;
        while (curResp != null) {
            synchronized (curResp) {
                if (!curResp.isReceived()) {
                    if (timeout > 0) {
                        curResp.wait(timeout);
                        if (!curResp.isReceived() && handleIntermediate(curReq, curResp)) {
                            continue;

            do {
                curReq.setResponse(curResp);

                final ServerMessageBlock nextReq = curReq.getAndx();
                if (nextReq == null) {
                    break;
                }
                final ServerMessageBlock nextResp = curResp.getAndx();

    *   Add `tf.keras.layers.AbstractRNNCell` as the preferred implementation
        for RNN cells in TF v2. User can use it to implement RNN cells with
        custom behavior.
    *   Keras training and validation curves are shown on the same plot when
        using the TensorBoard callback.
    *   Switched Keras `fit/evaluate/predict` execution to use only a single
        unified path by default unless eager execution has been explicitly

I tested several ideas in the most popular Python editors: PyCharm, VS Code, Jedi based editors.

By the last <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>, that covers about 80% of the users.

import jcifs.smb.NtlmPasswordAuthenticator;
import jcifs.smb.NtlmPasswordAuthenticator.AuthenticationType;

/**
 * Abstract base implementation of CIFSContext providing common functionality.
 * This class serves as a foundation for concrete CIFS context implementations.
 *
 * @author mbechler
 */
public abstract class AbstractCIFSContext extends Thread implements CIFSContext {

    title: Biosecurity risk assessments made easy.
    img: https://fastapi.tiangolo.com/img/sponsors/exoflare.png
  # - url: https://testdriven.io/courses/tdd-fastapi/
  #   title: Learn to build high-quality web apps with best practices
  #   img: https://fastapi.tiangolo.com/img/sponsors/testdriven.svg

import jcifs.smb.SmbFile;
import jcifs.smb.SmbNamedPipe;
import jcifs.smb.SmbTransportPoolImpl;

/**
 * Base implementation of CIFS context providing core functionality for SMB operations.
 * This class serves as the foundation for context implementations in the jCIFS library.
 *
 * @author mbechler
 */
public class BaseContext extends AbstractCIFSContext {

    private final Configuration config;

FastAPI CLI takes the path to your Python program (e.g. `main.py`) and automatically detects the `FastAPI` instance (commonly named `app`), determines the correct import process, and then serves it.

For production you would use `fastapi run` instead. 🚀

And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

In the Python developer surveys, it's clear <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">that one of the most used features is "autocompletion"</a>.