olruss

"""
Async pipeline framework for concurrent data processing in Python.

This module provides a flexible, memory-safe pipeline system that supports:
- Asynchronous generator stages
- Asynchronous and synchronous (threaded) single-value functions
- Bounded concurrency and memory usage via a semaphore
- Easy composition of complex pipelines with a simple API

Example usage:

olruss

import requests
from datetime import datetime, timedelta
from typing import Optional
from sqlalchemy import create_engine, Column, Integer, String, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.sql import exists
from flask import Flask, request, jsonify

from cpu_heavy_module import calculate_subscription  # Placeholder function (assume it's CPU-heavy)

olruss

import os
import shutil
import filecmp
import hashlib
import argparse
import difflib
import json
from pathlib import Path
from cookiecutter.main import cookiecutter

olruss

# Define the archive name
$ArchiveName = "output.tar.gz"

# Define the current directory and input folder
$InputDir = Get-Location

# List of folders to exclude
$Excludes = @(".git", ".github", ".idea")

# Build the `--exclude` arguments for the tar command