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"""A simple example of asyncio. This code is available from python 3.7. 

References
- history of asyncio: https://asyncio-notes.readthedocs.io/en/latest/asyncio-history.html
- asyncio: https://docs.python.org/3/library/asyncio.html
- asyncio.queue: https://docs.python.org/3.7/library/asyncio-queue.html
- producer-consumer: https://stackoverflow.com/questions/52582685/using-asyncio-queue-for-producer-consumer-flow
"""

import asyncio

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# usage: `$ make utest MODULE_NAME=fibonacci`
utest:
    if [ ! -d "test" ]; then mkdir test; fi
    pynguin --algorithm RANDOM --project_path . --output_path test --module_name ${MODULE_NAME}

# usage: `$ make run-utest`
run-utest:
    env PYTHONPATH=. pytest test --verbose --cov . --cov-report=html --cov-report=term-missing

# usage: `$ make show-cov MODULE_NAME=fibonacci`

Curt-Park

"""Genetic algorithm solver.

Given the following function:
    y = f(w1:w3) = w1 / (w2 + w3) + w2 / (w1 + w3) + w3 / (w1 + w2)
    where y=4

What are the best values for the 3 weights (w1 to w3)?
We are going to use the genetic algorithm to optimize this function.
"""
import pygad

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# -*- coding: utf-8 -*-
"""Scrap data from Naver Finance.

Author:
    - Name: Jinwoo Park
    - Email: [email protected]

Prerequisites:
  pip install beautifulsoup4
  pip install html5lib

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#include <iostream>
#include <vector>
#include <array>
#include <opencv2/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <onnxruntime/onnxruntime_cxx_api.h>


int main(int argc, const char* argv[]) {
    std::cout << "Optimized? " << cv::useOptimized() << std::endl;

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