huangsam

package main

import (
	"bytes"
	"os"

	"github.com/rs/zerolog/log"
	"golang.org/x/crypto/ssh"
)

huangsam

public class DeadlockExample {
    public static void main(String[] args) {
        Object lock1 = new Object();
        Object lock2 = new Object();

        Thread thread1 = new Thread(() -> {
            synchronized (lock1) {
                System.out.println("Thread 1: Acquired lock1");
                try {
                    Thread.sleep(1000);

huangsam

package com.tutorial.hello;

import com.tutorial.hello.HelloOuterClass.Hello;

import java.io.FileOutputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

huangsam

from flask import Flask, Response, current_app, jsonify, make_response
from flask.views import MethodView


def create_app() -> Flask:
    """Create application context."""
    created_app = Flask(__name__)
    return created_app

huangsam

from datetime import datetime, timezone
from typing import Any, Optional, Sequence, Type

from sqlalchemy import (
    DateTime,
    Dialect,
    ForeignKey,
    Result,
    Row,
    String,

huangsam

from queue import Queue
from threading import Thread
from time import sleep

# https://docs.python.org/3/library/queue.html
# https://stackoverflow.com/questions/27200674/python-queue-join
# https://stackoverflow.com/questions/7445742/runtimeerror-thread-init-not-called-when-subclassing-threading-thread
_TASK_QUEUE = Queue()

huangsam

package main

import (
	"fmt"
)

type Sudoku = [9][9]int

func main() {
	unsolved := Sudoku{

huangsam

from stately.base import State
from stately.enums import PersonStateKey

_INITIAL_STAMINA = 5
_WALKING_EFFORT = 2
_RUNNING_EFFORT = 3
_RESTING_POWER = 5


# Placed Person here to avoid cyclic dependencies. The con though is that too

huangsam

root = true

[*]
indent_size = 2
indent_style = space

huangsam

import numpy as np


# https://numpy.org/doc/stable/user/quickstart.html
def main():
    # a_reshape (3 x 5)
    a_reshape: np.ndarray = np.arange(15).reshape(3, 5)
    assert a_reshape.shape == (3, 5)
    assert a_reshape.ndim == 2
    assert a_reshape.dtype.name == "int64"