inhzus

package main

import "fmt"

var queue = make(chan int)
var c = make(chan chan error)

func request() {
	for i := 0; i < 4; i++ {
		queue <- i

inhzus

import argparse
from . import user_service, doc_service, repo_service

parser = argparse.ArgumentParser()
# ... set argument

args = parser.parse_args()
print(getattr(
    globals()[f'{args.sub}_service'],
    getattr(args, args.sub))

inhzus

function output = my_edgelinking(image, row, col)
    output = [row col;];
    image(row, col) = 0;
    dir = 7;
    while (1)
        
        [row, col, next_found, dir] = find_next_dir(row, col, dir, image);
        if (~next_found)
            break;
        end

inhzus

function output = my_edge(input_image)
    mean_value = mean(mean(input_image));
    [height, width] = size(input_image);
    fft_mid_img = fftshift(fft2(input_image));
    fft_ratio = 12;
    a = round(height/fft_ratio):round((fft_ratio-1)*height/fft_ratio);
    b = round(width/fft_ratio):round((fft_ratio-1)*width/fft_ratio);
%     disp(a);
%     disp(b);
    fft_mid_img(round(height / 2), round(width / 2)) = 0;

inhzus

# -*- coding: utf-8 -*-
# created by inhzus

import typing
from collections import Counter, defaultdict
from itertools import combinations
from pprint import pprint

T = typing.TypeVar('T')

inhzus

# -*- coding: utf-8 -*-
# created by inhzus

import typing
from collections import defaultdict
from itertools import combinations
from numbers import Number
from pprint import pprint

from bitarray import bitarray

inhzus

function [output] = Histogram_equalization(input_image)
%first test the image is a RGB or gray image
hsv = true;
if numel(size(input_image)) == 3
    %this is a RGB image
    %here is just one method, if you have other ways to do the
    %equalization, you can change the following code
    if hsv
        input_image = rgb2hsv(input_image);
        h=input_image(:,:,1);

inhzus

class Branch {
  Date time;
  unsigned index;
  unsigned succ;
  string comment;
}

inhzus

public static void main(String[] args) {
    Segment segment = HanLP.newSegment().enableAllNamedEntityRecognize(false).enableCustomDictionary(false);
    List<List<Term>> result = segment.seg2sentence("信里说他们离青云山还有很远，老祖宗说不着急，走个两三年也没什么打紧，所以他们走走停停，" +
        "有时听说哪里有好看好玩的事物，也会专门绕路过去，停驻几天。又说路上什么都好，哪怕是荒郊野外，" +
        "老祖宗也能变出热腾腾的吃食，还有各种衣物，穿戴比家里都要好。他们还自己动手搭过木屋，在一颗很高很大的树上，" +
        "建起了一座小小的屋子，为此他还专门学会了爬树…总之是一切都好，让父母大人不用担心他，老祖宗有个百宝囊，里面什么都有，" +
        "连书都有很多，没事的时候，他们就跟着老祖宗读书练字，最后祝高堂安泰。", true);
    for (List<Term> sentence : result) {
        for (Term term : sentence) {
            System.out.printf("%s ", term.word);