cbonesana

FROM python:3.12.3

RUN pip install \
    pandas \
    scikit-learn \
    fastapi \
    aiofiles

cbonesana

from typing import Any
from pydantic import BaseModel, root_validator
import json

# this dictionary will collect all classes constructors
class_registry: dict[str, Any] = dict()


# base class
class Creature(BaseModel):

cbonesana

from sqlalchemy import create_engine

from sqlalchemy import select, insert, func

from tables import Base, Record

from time import time

import ray
import uuid

cbonesana

from multiprocessing import Queue, Process

import random
import time
import signal


stop_sentinel = "STOP"

cbonesana

from pydantic import BaseModel
from enum import Enum

import json


class Season(str, Enum):
    SPRING = 'spring'
    SUMMER = 'summer'
    AUTUMN = 'autumn'

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import time 
import multiprocessing
import signal

from multiprocessing import Event

class W(multiprocessing.Process):

    def __init__(self, i: int, event: Event) -> None:
        super().__init__()

cbonesana

#include <iostream>
#include <memory>
#include <string>

// This is just an example object with a text field.
class Content {
    public:
    std::string txt;
    Content(std::string txt) : txt(txt){};
};

cbonesana

package utility;

import java.time.Duration;
import java.util.Collections;

/**
 * Author:  Claudio "Dna" Bonesana
 * Project: SimpleProgressBar
 * Date:    06.10.2021 14:27
 */

cbonesana

#!/bin/bash

docker run -it --rm -v "$(pwd)":"/w" -w "/w" python:3.8-slim python scripty.py

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import logging
import os
import sys

import lxml.etree as etree
from openpyxl import load_workbook

logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)