colorbox colorbox

## README.md

      
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                colorbox
                / README.md
            
            
              Last active
              October 14, 2021 16:00
            
              
                納得いかないやつ
              
          
    https://github.com/colorbox/kaomoji_storage の開発中に見つけた謎挙動
Chrome Version 94.0.4606.71 (Official Build) (x86_64)
Safari Version 15.0 (15612.1.29.41.4, 15612)
で確認


## doukaku_2020_12_29.cpp
#include<bits/stdc++.h>

#define rep(i,n) for(int i = 0; i < (n); i++)
#define rrep(i,n) for(int i = (n)-1; i >= 0; i--)
#define rep1(i,n) for(int i = 1; i <= (n); i++)
#define rrep1(i,n) for(int i = (n); i > 0; i--)

#define ll long long
#define pi pair<int, int>
#define pll pair<ll, ll>

## challenge.rb
def split_num(num)
  ("%04d" % num).split('').map(&:to_i)
end

def split_num_f(num)
  split_num(num).map(&:to_f)
end

def twined(nums, symbols)
  nums.zip(symbols).flatten.compact.map(&:to_s).join('')

## priority_queue.rb
class PriorityQueue
  attr_accessor :data

  def initialize(arr=[])
    @data = arr
  end

  def push(e)
    @data.push(e)

## Gemfile.rb
eval File.read('doukaku.rb').scan(/gemfile do\n(.*?)\nend/m)[0][0]

## lazy_map.rb
class Hoge
  attr_accessor :body

  def initialize(body)
    @body = body
  end

  def squisher
    pp "i squished #{@body}"
    @body.squish

## curl request for post PR comment
curl -X POST  -H "Content-Type: application/json" -H "Authorization: token <your GitHub token>" --data '{"commit_id":"8ae911bfd368794ba8955793faff475dcf0b81b7","body":"test","path":"app/models/space_include_ _file_name.rb","position":2}' https://api.github.com/repos/colorbox/kata/pulls/3/comments

## crop_image.rb
require 'RMagick'

original = Magick::Image.read('original.jpg').first
image = original.crop(0, 0, 10, 10)
image.write('cropped.jpg')

## ika_k-means.py
import os
import shutil
import numpy as np
from PIL import Image
from skimage import data
from sklearn.cluster import KMeans

cluster_count = 4

feature = np.array([data.imread("./icons/" + path) for path in os.listdir('./icons')])

## ika_triming
require 'RMagick'
require 'rubygems'


def crop_icons(filename)
  original = Magick::Image.read(filename).first
  prefix = File.basename(filename, ".*")

  image = original.crop(356, 15, 53, 60)
  image.write("icons/#{prefix}-1.jpg")
	#include<bits/stdc++.h>

	#define rep(i,n) for(int i = 0; i < (n); i++)
	#define rrep(i,n) for(int i = (n)-1; i >= 0; i--)
	#define rep1(i,n) for(int i = 1; i <= (n); i++)
	#define rrep1(i,n) for(int i = (n); i > 0; i--)

	#define ll long long
	#define pi pair<int, int>
	#define pll pair<ll, ll>
	def split_num(num)
	("%04d" % num).split('').map(&:to_i)
	end

	def split_num_f(num)
	split_num(num).map(&:to_f)
	end

	def twined(nums, symbols)
	nums.zip(symbols).flatten.compact.map(&:to_s).join('')
	class PriorityQueue
	attr_accessor :data

	def initialize(arr=[])
	@data = arr
	end

	def push(e)
	@data.push(e)
	class Hoge
	attr_accessor :body

	def initialize(body)
	@body = body
	end

	def squisher
	pp "i squished #{@body}"
	@body.squish
	require 'RMagick'

	original = Magick::Image.read('original.jpg').first
	image = original.crop(0, 0, 10, 10)
	image.write('cropped.jpg')
	import os
	import shutil
	import numpy as np
	from PIL import Image
	from skimage import data
	from sklearn.cluster import KMeans

	cluster_count = 4

	feature = np.array([data.imread("./icons/" + path) for path in os.listdir('./icons')])
	require 'RMagick'
	require 'rubygems'


	def crop_icons(filename)
	original = Magick::Image.read(filename).first
	prefix = File.basename(filename, ".*")

	image = original.crop(356, 15, 53, 60)
	image.write("icons/#{prefix}-1.jpg")